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aryCnt","hasY","scatterGeoAttrs","colorscaleAttrs","plotAttrs","scatterGeoMarkerLineAttrs","_polygons","makeHoverInfo","hasName","hasLocation","hasZ","Choropleth","calcGeoJSON","feature2polygons","appendPolygon","doesCrossAntiMerdian","_pts","crossAntiMeridianIndex","styleTrace","zmin","zmax","mesh3dAttrs","normMax","normMin","ww","_len","_normMax","conePlot","zip3","Cone","selectIndex","axisName2scaleIndex","anchor2coneOffset","tip","cm","anchor2coneSpan","coneOpts","toDataCoords","meshData","lightposition","lighting","createConeTrace","cone","heatmapAttrs","filterOps","xtype","ytype","zhoverformat","autocontour","ncontours","showlabels","labelfont","labelformat","heatmapCalc","setContours","pathinfo","perimeter","pi0","boundaryMax","boundaryMin","prefixBoundary","makeColorMap","endPlus","cs","isColorbar","BOTTOMSTART","TOPSTART","LEFTSTART","RIGHTSTART","NEWDELTA","CHOOSESADDLE","SADDLEREMAINDER","LABELDISTANCE","LABELINCREASE","LABELMIN","LABELMAX","LABELOPTIMIZER","EDGECOST","ANGLECOST","NEIGHBORCOST","SAMELEVELFACTOR","SAMELEVELDISTANCE","MAXCOST","INITIALSEARCHPOINTS","ITERATIONS","handleLabelDefaults","handleConstraintValueDefaults","zvalue","coerceValue","hasArrayValue","coercedValue","makeRangeSettings","makeInequalitySettings","contourStart","contourEnd","missingEnd","contourSize","copyPathinfo","edgepaths","pi1","op0","op1","handleXYZDefaults","handleContoursDefaults","constraintMapping","contoursFinal","_carpetTrace","basePathinfo","starts","equalPts","xtol","ytol","makePath","edgeflag","startLocStr","locStr","marchStep","startStep","getInterpPx","startStepStr","atEdge","closedLoop","closedpath","distgroup","cnt2","cnt3","newpt","ptcnt","ptavg","thisdist","edgepathi","edgepathj","totaldist","distThresholdFactor","alldists","cropstart","distThreshold","getpt","doublemerged","locx","locy","zxy","heatmapHoverPoints","Contour","showLabels","zauto","zRange","Range","getMarchingIndex","ystartIndices","twoWide","heatmapPlot","makeCrossings","findAllPaths","emptyPathinfo","convertToConstraints","closeBoundaries","costConstants","joinAllPaths","fullpath","endpt","newendpt","nexti","possiblei","addpath","initFullPath","edgeVal2","startsleft","newloop","isbottom","isleft","isright","ptNew","locationCost","labelData","halfWidth","halfHeight","normX","normY","cost","labeli","dxd","dyd","sameLevel","distOffset","makeClipMask","empties","emptyPoint","_emptypoints","zmask","cdcontours","contourLayer","heatmapColoringLayer","cdheatmaps","leftedge","rightedge","bottomedge","topedge","fillPathinfo","makeBackground","bggroup","bgfill","makeFills","fillgroup","fillitems","makeLinesAndLabels","lineContainer","clipLinesForLabels","linegroup","lineClip","createLineClip","labelClipPathData","contourFormat","labelFormatter","dummyText","xLen","yLen","plotDiagonal","normLength","calcTextOpts","maxLabels","findBestTextLocation","addLabelData","clipGaps","clips","clipPathInfo","makeLines","opencontourlines","pedgepaths","closedcontourlines","ppaths","formatAxis","plotBounds","newLocation","newCost","dxw","dxh","dyw","dyh","bBoxPts","autoContours","sizeOut","inputContours","heatmapStyle","isConstraintType","colorLines","colorFills","firstFill","contourAttrs","contourContourAttrs","atype","btype","maxRowLength","findEmpties","makeBoundArray","lookupCarpet","carpetdata","tracedata","_defaultColor","heatmappishCalc","xlen","xIn","xArray","yIn","yArray","ContourCarpet","axisAlignedLine","ab2p","istop","pathto","startpt","pedgepath","ppath","contourPlot","mapPathinfo","getUnitVector","normalizeVector","vectorTan","contourcarpetLayer","boundaryPath","pathData","constrainToCarpet","levelData","pathABData","aMin","aMax","bMin","bMax","abPt","pathVector","edgeVector","startVector","endVector","minStart","maxEnd","zsmooth","histogram2dCalc","binned","isContour","isHist","isGL2D","zIn","noZsmooth","avgdx","maxErrX","avgdy","maxErrY","yCenter","xRanges","yRanges","dummyTrace","xfill","yfill","zOld","rowlen","collen","getCollen","old2new","cleanZvalue","zNew","var1Name","var2Name","arrayVarNames","colLen","arrayVar","col1","col2","textCol","hasColumnText","col1Calendar","col2Calendar","col1dv","col1vals","col2dv","col2vals","newArrays","prevRow","thisPt","neighborCount","newNeighborHash","foundNewNeighbors","neighborHash","noNeighborList","blank","yl","Heatmap","NEIGHBORSHIFTS","correctionOvershoot","maxFractionalChange","iterateInterp2d","emptyPoints","neighborShift","neighborRow","neighborVal","neighborSum","minNeighbor","maxNeighbor","v0In","dvIn","numbricks","isArrayOfTwoItemsOrMore","findInterp","pixArray","maxBin","pix0","pix1","bin0","bin1","findInterpFromCenters","centerPixArray","putColor","pxIndex","heatmapLayer","xrev","yrev","isOffScreen","canvasW","canvasH","xbi","ybi","pixcount","gcount","bcount","xForPx","yinterp","yForPx","xPixArray","yPixArray","xinterpArray","findInterpX","findInterpY","interpColor","setColor","pxArray","dlen","xGap","yGap","xGapLeft","yGapTop","avgColor","image3","pixsize","xinterp","z00","z01","z10","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shim for using process in browser\nvar process = module.exports = {};\n\n// cached from whatever global is present so that test runners that stub it\n// don't break things.  But we need to wrap it in a try catch in case it is\n// wrapped in strict mode code which doesn't define any globals.  It's inside a\n// function because try/catches deoptimize in certain engines.\n\nvar cachedSetTimeout;\nvar cachedClearTimeout;\n\nfunction defaultSetTimout() {\n    throw new Error('setTimeout has not been defined');\n}\nfunction defaultClearTimeout () {\n    throw new Error('clearTimeout has not been defined');\n}\n(function () {\n    try {\n        if (typeof setTimeout === 'function') {\n            cachedSetTimeout = setTimeout;\n        } else {\n            cachedSetTimeout = defaultSetTimout;\n        }\n    } catch (e) {\n        cachedSetTimeout = defaultSetTimout;\n    }\n    try {\n        if (typeof clearTimeout === 'function') {\n            cachedClearTimeout = clearTimeout;\n        } else {\n            cachedClearTimeout = defaultClearTimeout;\n        }\n    } catch (e) {\n        cachedClearTimeout = defaultClearTimeout;\n    }\n} ())\nfunction runTimeout(fun) {\n    if (cachedSetTimeout === setTimeout) {\n        //normal enviroments in sane situations\n        return setTimeout(fun, 0);\n    }\n    // if setTimeout wasn't available but was latter defined\n    if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) {\n        cachedSetTimeout = setTimeout;\n        return setTimeout(fun, 0);\n    }\n    try {\n        // when when somebody has screwed with setTimeout but no I.E. maddness\n        return cachedSetTimeout(fun, 0);\n    } catch(e){\n        try {\n            // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally\n            return cachedSetTimeout.call(null, fun, 0);\n        } catch(e){\n            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error\n            return cachedSetTimeout.call(this, fun, 0);\n        }\n    }\n\n\n}\nfunction runClearTimeout(marker) {\n    if (cachedClearTimeout === clearTimeout) {\n        //normal enviroments in sane situations\n        return clearTimeout(marker);\n    }\n    // if clearTimeout wasn't available but was latter defined\n    if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) {\n        cachedClearTimeout = clearTimeout;\n        return clearTimeout(marker);\n    }\n    try {\n        // when when somebody has screwed with setTimeout but no I.E. maddness\n        return cachedClearTimeout(marker);\n    } catch (e){\n        try {\n            // When we are in I.E. but the script has been evaled so I.E. doesn't  trust the global object when called normally\n            return cachedClearTimeout.call(null, marker);\n        } catch (e){\n            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error.\n            // Some versions of I.E. have different rules for clearTimeout vs setTimeout\n            return cachedClearTimeout.call(this, marker);\n        }\n    }\n\n\n\n}\nvar queue = [];\nvar draining = false;\nvar currentQueue;\nvar queueIndex = -1;\n\nfunction cleanUpNextTick() {\n    if (!draining || !currentQueue) {\n        return;\n    }\n    draining = false;\n    if (currentQueue.length) {\n        queue = currentQueue.concat(queue);\n    } else {\n        queueIndex = -1;\n    }\n    if (queue.length) {\n        drainQueue();\n    }\n}\n\nfunction drainQueue() {\n    if (draining) {\n        return;\n    }\n    var timeout = runTimeout(cleanUpNextTick);\n    draining = true;\n\n    var len = queue.length;\n    while(len) {\n        currentQueue = queue;\n        queue = [];\n        while (++queueIndex < len) {\n            if (currentQueue) {\n                currentQueue[queueIndex].run();\n            }\n        }\n        queueIndex = -1;\n        len = queue.length;\n    }\n    currentQueue = null;\n    draining = false;\n    runClearTimeout(timeout);\n}\n\nprocess.nextTick = function (fun) {\n    var args = new Array(arguments.length - 1);\n    if (arguments.length > 1) {\n        for (var i = 1; i < arguments.length; i++) {\n            args[i - 1] = arguments[i];\n        }\n    }\n    queue.push(new Item(fun, args));\n    if (queue.length === 1 && !draining) {\n        runTimeout(drainQueue);\n    }\n};\n\n// v8 likes predictible objects\nfunction Item(fun, array) {\n    this.fun = fun;\n    this.array = array;\n}\nItem.prototype.run = function () {\n    this.fun.apply(null, this.array);\n};\nprocess.title = 'browser';\nprocess.browser = true;\nprocess.env = {};\nprocess.argv = [];\nprocess.version = ''; // empty string to avoid regexp issues\nprocess.versions = {};\n\nfunction noop() {}\n\nprocess.on = noop;\nprocess.addListener = noop;\nprocess.once = noop;\nprocess.off = noop;\nprocess.removeListener = noop;\nprocess.removeAllListeners = noop;\nprocess.emit = noop;\nprocess.prependListener = noop;\nprocess.prependOnceListener = noop;\n\nprocess.listeners = function (name) { return [] }\n\nprocess.binding = function (name) {\n    throw new Error('process.binding is not supported');\n};\n\nprocess.cwd = function () { return '/' };\nprocess.chdir = function (dir) {\n    throw new Error('process.chdir is not supported');\n};\nprocess.umask = function() { return 0; };\n","'use strict'\n\nexports.byteLength = byteLength\nexports.toByteArray = toByteArray\nexports.fromByteArray = fromByteArray\n\nvar lookup = []\nvar revLookup = []\nvar Arr = typeof Uint8Array !== 'undefined' ? Uint8Array : Array\n\nvar code = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'\nfor (var i = 0, len = code.length; i < len; ++i) {\n  lookup[i] = code[i]\n  revLookup[code.charCodeAt(i)] = i\n}\n\n// Support decoding URL-safe base64 strings, as Node.js does.\n// See: https://en.wikipedia.org/wiki/Base64#URL_applications\nrevLookup['-'.charCodeAt(0)] = 62\nrevLookup['_'.charCodeAt(0)] = 63\n\nfunction getLens (b64) {\n  var len = b64.length\n\n  if (len % 4 > 0) {\n    throw new Error('Invalid string. Length must be a multiple of 4')\n  }\n\n  // Trim off extra bytes after placeholder bytes are found\n  // See: https://github.com/beatgammit/base64-js/issues/42\n  var validLen = b64.indexOf('=')\n  if (validLen === -1) validLen = len\n\n  var placeHoldersLen = validLen === len\n    ? 0\n    : 4 - (validLen % 4)\n\n  return [validLen, placeHoldersLen]\n}\n\n// base64 is 4/3 + up to two characters of the original data\nfunction byteLength (b64) {\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction _byteLength (b64, validLen, placeHoldersLen) {\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction toByteArray (b64) {\n  var tmp\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n\n  var arr = new Arr(_byteLength(b64, validLen, placeHoldersLen))\n\n  var curByte = 0\n\n  // if there are placeholders, only get up to the last complete 4 chars\n  var len = placeHoldersLen > 0\n    ? validLen - 4\n    : validLen\n\n  var i\n  for (i = 0; i < len; i += 4) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 18) |\n      (revLookup[b64.charCodeAt(i + 1)] << 12) |\n      (revLookup[b64.charCodeAt(i + 2)] << 6) |\n      revLookup[b64.charCodeAt(i + 3)]\n    arr[curByte++] = (tmp >> 16) & 0xFF\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 2) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 2) |\n      (revLookup[b64.charCodeAt(i + 1)] >> 4)\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 1) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 10) |\n      (revLookup[b64.charCodeAt(i + 1)] << 4) |\n      (revLookup[b64.charCodeAt(i + 2)] >> 2)\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  return arr\n}\n\nfunction tripletToBase64 (num) {\n  return lookup[num >> 18 & 0x3F] +\n    lookup[num >> 12 & 0x3F] +\n    lookup[num >> 6 & 0x3F] +\n    lookup[num & 0x3F]\n}\n\nfunction encodeChunk (uint8, start, end) {\n  var tmp\n  var output = []\n  for (var i = start; i < end; i += 3) {\n    tmp =\n      ((uint8[i] << 16) & 0xFF0000) +\n      ((uint8[i + 1] << 8) & 0xFF00) +\n      (uint8[i + 2] & 0xFF)\n    output.push(tripletToBase64(tmp))\n  }\n  return output.join('')\n}\n\nfunction fromByteArray (uint8) {\n  var tmp\n  var len = uint8.length\n  var extraBytes = len % 3 // if we have 1 byte left, pad 2 bytes\n  var parts = []\n  var maxChunkLength = 16383 // must be multiple of 3\n\n  // go through the array every three bytes, we'll deal with trailing stuff later\n  for (var i = 0, len2 = len - extraBytes; i < len2; i += maxChunkLength) {\n    parts.push(encodeChunk(\n      uint8, i, (i + maxChunkLength) > len2 ? len2 : (i + maxChunkLength)\n    ))\n  }\n\n  // pad the end with zeros, but make sure to not forget the extra bytes\n  if (extraBytes === 1) {\n    tmp = uint8[len - 1]\n    parts.push(\n      lookup[tmp >> 2] +\n      lookup[(tmp << 4) & 0x3F] +\n      '=='\n    )\n  } else if (extraBytes === 2) {\n    tmp = (uint8[len - 2] << 8) + uint8[len - 1]\n    parts.push(\n      lookup[tmp >> 10] +\n      lookup[(tmp >> 4) & 0x3F] +\n      lookup[(tmp << 2) & 0x3F] +\n      '='\n    )\n  }\n\n  return parts.join('')\n}\n","exports.read = function (buffer, offset, isLE, mLen, nBytes) {\n  var e, m\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var nBits = -7\n  var i = isLE ? (nBytes - 1) : 0\n  var d = isLE ? -1 : 1\n  var s = buffer[offset + i]\n\n  i += d\n\n  e = s & ((1 << (-nBits)) - 1)\n  s >>= (-nBits)\n  nBits += eLen\n  for (; nBits > 0; e = (e * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  m = e & ((1 << (-nBits)) - 1)\n  e >>= (-nBits)\n  nBits += mLen\n  for (; nBits > 0; m = (m * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  if (e === 0) {\n    e = 1 - eBias\n  } else if (e === eMax) {\n    return m ? NaN : ((s ? -1 : 1) * Infinity)\n  } else {\n    m = m + Math.pow(2, mLen)\n    e = e - eBias\n  }\n  return (s ? -1 : 1) * m * Math.pow(2, e - mLen)\n}\n\nexports.write = function (buffer, value, offset, isLE, mLen, nBytes) {\n  var e, m, c\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var rt = (mLen === 23 ? Math.pow(2, -24) - Math.pow(2, -77) : 0)\n  var i = isLE ? 0 : (nBytes - 1)\n  var d = isLE ? 1 : -1\n  var s = value < 0 || (value === 0 && 1 / value < 0) ? 1 : 0\n\n  value = Math.abs(value)\n\n  if (isNaN(value) || value === Infinity) {\n    m = isNaN(value) ? 1 : 0\n    e = eMax\n  } else {\n    e = Math.floor(Math.log(value) / Math.LN2)\n    if (value * (c = Math.pow(2, -e)) < 1) {\n      e--\n      c *= 2\n    }\n    if (e + eBias >= 1) {\n      value += rt / c\n    } else {\n      value += rt * Math.pow(2, 1 - eBias)\n    }\n    if (value * c >= 2) {\n      e++\n      c /= 2\n    }\n\n    if (e + eBias >= eMax) {\n      m = 0\n      e = eMax\n    } else if (e + eBias >= 1) {\n      m = ((value * c) - 1) * Math.pow(2, mLen)\n      e = e + eBias\n    } else {\n      m = value * Math.pow(2, eBias - 1) * Math.pow(2, mLen)\n      e = 0\n    }\n  }\n\n  for (; mLen >= 8; buffer[offset + i] = m & 0xff, i += d, m /= 256, mLen -= 8) {}\n\n  e = (e << mLen) | m\n  eLen += mLen\n  for (; eLen > 0; buffer[offset + i] = e & 0xff, i += d, e /= 256, eLen -= 8) {}\n\n  buffer[offset + i - d] |= s * 128\n}\n","var toString = {}.toString;\n\nmodule.exports = Array.isArray || function (arr) {\n  return toString.call(arr) == '[object Array]';\n};\n","/*!\n * The buffer module from node.js, for the browser.\n *\n * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n * @license  MIT\n */\n/* eslint-disable no-proto */\n\n'use strict'\n\nvar base64 = require('base64-js')\nvar ieee754 = require('ieee754')\nvar isArray = require('isarray')\n\nexports.Buffer = Buffer\nexports.SlowBuffer = SlowBuffer\nexports.INSPECT_MAX_BYTES = 50\n\n/**\n * If `Buffer.TYPED_ARRAY_SUPPORT`:\n *   === true    Use Uint8Array implementation (fastest)\n *   === false   Use Object implementation (most compatible, even IE6)\n *\n * Browsers that support typed arrays are IE 10+, Firefox 4+, Chrome 7+, Safari 5.1+,\n * Opera 11.6+, iOS 4.2+.\n *\n * Due to various browser bugs, sometimes the Object implementation will be used even\n * when the browser supports typed arrays.\n *\n * Note:\n *\n *   - Firefox 4-29 lacks support for adding new properties to `Uint8Array` instances,\n *     See: https://bugzilla.mozilla.org/show_bug.cgi?id=695438.\n *\n *   - Chrome 9-10 is missing the `TypedArray.prototype.subarray` function.\n *\n *   - IE10 has a broken `TypedArray.prototype.subarray` function which returns arrays of\n *     incorrect length in some situations.\n\n * We detect these buggy browsers and set `Buffer.TYPED_ARRAY_SUPPORT` to `false` so they\n * get the Object implementation, which is slower but behaves correctly.\n */\nBuffer.TYPED_ARRAY_SUPPORT = global.TYPED_ARRAY_SUPPORT !== undefined\n  ? global.TYPED_ARRAY_SUPPORT\n  : typedArraySupport()\n\n/*\n * Export kMaxLength after typed array support is determined.\n */\nexports.kMaxLength = kMaxLength()\n\nfunction typedArraySupport () {\n  try {\n    var arr = new Uint8Array(1)\n    arr.__proto__ = {__proto__: Uint8Array.prototype, foo: function () { return 42 }}\n    return arr.foo() === 42 && // typed array instances can be augmented\n        typeof arr.subarray === 'function' && // chrome 9-10 lack `subarray`\n        arr.subarray(1, 1).byteLength === 0 // ie10 has broken `subarray`\n  } catch (e) {\n    return false\n  }\n}\n\nfunction kMaxLength () {\n  return Buffer.TYPED_ARRAY_SUPPORT\n    ? 0x7fffffff\n    : 0x3fffffff\n}\n\nfunction createBuffer (that, length) {\n  if (kMaxLength() < length) {\n    throw new RangeError('Invalid typed array length')\n  }\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = new Uint8Array(length)\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    if (that === null) {\n      that = new Buffer(length)\n    }\n    that.length = length\n  }\n\n  return that\n}\n\n/**\n * The Buffer constructor returns instances of `Uint8Array` that have their\n * prototype changed to `Buffer.prototype`. Furthermore, `Buffer` is a subclass of\n * `Uint8Array`, so the returned instances will have all the node `Buffer` methods\n * and the `Uint8Array` methods. Square bracket notation works as expected -- it\n * returns a single octet.\n *\n * The `Uint8Array` prototype remains unmodified.\n */\n\nfunction Buffer (arg, encodingOrOffset, length) {\n  if (!Buffer.TYPED_ARRAY_SUPPORT && !(this instanceof Buffer)) {\n    return new Buffer(arg, encodingOrOffset, length)\n  }\n\n  // Common case.\n  if (typeof arg === 'number') {\n    if (typeof encodingOrOffset === 'string') {\n      throw new Error(\n        'If encoding is specified then the first argument must be a string'\n      )\n    }\n    return allocUnsafe(this, arg)\n  }\n  return from(this, arg, encodingOrOffset, length)\n}\n\nBuffer.poolSize = 8192 // not used by this implementation\n\n// TODO: Legacy, not needed anymore. Remove in next major version.\nBuffer._augment = function (arr) {\n  arr.__proto__ = Buffer.prototype\n  return arr\n}\n\nfunction from (that, value, encodingOrOffset, length) {\n  if (typeof value === 'number') {\n    throw new TypeError('\"value\" argument must not be a number')\n  }\n\n  if (typeof ArrayBuffer !== 'undefined' && value instanceof ArrayBuffer) {\n    return fromArrayBuffer(that, value, encodingOrOffset, length)\n  }\n\n  if (typeof value === 'string') {\n    return fromString(that, value, encodingOrOffset)\n  }\n\n  return fromObject(that, value)\n}\n\n/**\n * Functionally equivalent to Buffer(arg, encoding) but throws a TypeError\n * if value is a number.\n * Buffer.from(str[, encoding])\n * Buffer.from(array)\n * Buffer.from(buffer)\n * Buffer.from(arrayBuffer[, byteOffset[, length]])\n **/\nBuffer.from = function (value, encodingOrOffset, length) {\n  return from(null, value, encodingOrOffset, length)\n}\n\nif (Buffer.TYPED_ARRAY_SUPPORT) {\n  Buffer.prototype.__proto__ = Uint8Array.prototype\n  Buffer.__proto__ = Uint8Array\n  if (typeof Symbol !== 'undefined' && Symbol.species &&\n      Buffer[Symbol.species] === Buffer) {\n    // Fix subarray() in ES2016. See: https://github.com/feross/buffer/pull/97\n    Object.defineProperty(Buffer, Symbol.species, {\n      value: null,\n      configurable: true\n    })\n  }\n}\n\nfunction assertSize (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('\"size\" argument must be a number')\n  } else if (size < 0) {\n    throw new RangeError('\"size\" argument must not be negative')\n  }\n}\n\nfunction alloc (that, size, fill, encoding) {\n  assertSize(size)\n  if (size <= 0) {\n    return createBuffer(that, size)\n  }\n  if (fill !== undefined) {\n    // Only pay attention to encoding if it's a string. This\n    // prevents accidentally sending in a number that would\n    // be interpretted as a start offset.\n    return typeof encoding === 'string'\n      ? createBuffer(that, size).fill(fill, encoding)\n      : createBuffer(that, size).fill(fill)\n  }\n  return createBuffer(that, size)\n}\n\n/**\n * Creates a new filled Buffer instance.\n * alloc(size[, fill[, encoding]])\n **/\nBuffer.alloc = function (size, fill, encoding) {\n  return alloc(null, size, fill, encoding)\n}\n\nfunction allocUnsafe (that, size) {\n  assertSize(size)\n  that = createBuffer(that, size < 0 ? 0 : checked(size) | 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) {\n    for (var i = 0; i < size; ++i) {\n      that[i] = 0\n    }\n  }\n  return that\n}\n\n/**\n * Equivalent to Buffer(num), by default creates a non-zero-filled Buffer instance.\n * */\nBuffer.allocUnsafe = function (size) {\n  return allocUnsafe(null, size)\n}\n/**\n * Equivalent to SlowBuffer(num), by default creates a non-zero-filled Buffer instance.\n */\nBuffer.allocUnsafeSlow = function (size) {\n  return allocUnsafe(null, size)\n}\n\nfunction fromString (that, string, encoding) {\n  if (typeof encoding !== 'string' || encoding === '') {\n    encoding = 'utf8'\n  }\n\n  if (!Buffer.isEncoding(encoding)) {\n    throw new TypeError('\"encoding\" must be a valid string encoding')\n  }\n\n  var length = byteLength(string, encoding) | 0\n  that = createBuffer(that, length)\n\n  var actual = that.write(string, encoding)\n\n  if (actual !== length) {\n    // Writing a hex string, for example, that contains invalid characters will\n    // cause everything after the first invalid character to be ignored. (e.g.\n    // 'abxxcd' will be treated as 'ab')\n    that = that.slice(0, actual)\n  }\n\n  return that\n}\n\nfunction fromArrayLike (that, array) {\n  var length = array.length < 0 ? 0 : checked(array.length) | 0\n  that = createBuffer(that, length)\n  for (var i = 0; i < length; i += 1) {\n    that[i] = array[i] & 255\n  }\n  return that\n}\n\nfunction fromArrayBuffer (that, array, byteOffset, length) {\n  array.byteLength // this throws if `array` is not a valid ArrayBuffer\n\n  if (byteOffset < 0 || array.byteLength < byteOffset) {\n    throw new RangeError('\\'offset\\' is out of bounds')\n  }\n\n  if (array.byteLength < byteOffset + (length || 0)) {\n    throw new RangeError('\\'length\\' is out of bounds')\n  }\n\n  if (byteOffset === undefined && length === undefined) {\n    array = new Uint8Array(array)\n  } else if (length === undefined) {\n    array = new Uint8Array(array, byteOffset)\n  } else {\n    array = new Uint8Array(array, byteOffset, length)\n  }\n\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = array\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    that = fromArrayLike(that, array)\n  }\n  return that\n}\n\nfunction fromObject (that, obj) {\n  if (Buffer.isBuffer(obj)) {\n    var len = checked(obj.length) | 0\n    that = createBuffer(that, len)\n\n    if (that.length === 0) {\n      return that\n    }\n\n    obj.copy(that, 0, 0, len)\n    return that\n  }\n\n  if (obj) {\n    if ((typeof ArrayBuffer !== 'undefined' &&\n        obj.buffer instanceof ArrayBuffer) || 'length' in obj) {\n      if (typeof obj.length !== 'number' || isnan(obj.length)) {\n        return createBuffer(that, 0)\n      }\n      return fromArrayLike(that, obj)\n    }\n\n    if (obj.type === 'Buffer' && isArray(obj.data)) {\n      return fromArrayLike(that, obj.data)\n    }\n  }\n\n  throw new TypeError('First argument must be a string, Buffer, ArrayBuffer, Array, or array-like object.')\n}\n\nfunction checked (length) {\n  // Note: cannot use `length < kMaxLength()` here because that fails when\n  // length is NaN (which is otherwise coerced to zero.)\n  if (length >= kMaxLength()) {\n    throw new RangeError('Attempt to allocate Buffer larger than maximum ' +\n                         'size: 0x' + kMaxLength().toString(16) + ' bytes')\n  }\n  return length | 0\n}\n\nfunction SlowBuffer (length) {\n  if (+length != length) { // eslint-disable-line eqeqeq\n    length = 0\n  }\n  return Buffer.alloc(+length)\n}\n\nBuffer.isBuffer = function isBuffer (b) {\n  return !!(b != null && b._isBuffer)\n}\n\nBuffer.compare = function compare (a, b) {\n  if (!Buffer.isBuffer(a) || !Buffer.isBuffer(b)) {\n    throw new TypeError('Arguments must be Buffers')\n  }\n\n  if (a === b) return 0\n\n  var x = a.length\n  var y = b.length\n\n  for (var i = 0, len = Math.min(x, y); i < len; ++i) {\n    if (a[i] !== b[i]) {\n      x = a[i]\n      y = b[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\nBuffer.isEncoding = function isEncoding (encoding) {\n  switch (String(encoding).toLowerCase()) {\n    case 'hex':\n    case 'utf8':\n    case 'utf-8':\n    case 'ascii':\n    case 'latin1':\n    case 'binary':\n    case 'base64':\n    case 'ucs2':\n    case 'ucs-2':\n    case 'utf16le':\n    case 'utf-16le':\n      return true\n    default:\n      return false\n  }\n}\n\nBuffer.concat = function concat (list, length) {\n  if (!isArray(list)) {\n    throw new TypeError('\"list\" argument must be an Array of Buffers')\n  }\n\n  if (list.length === 0) {\n    return Buffer.alloc(0)\n  }\n\n  var i\n  if (length === undefined) {\n    length = 0\n    for (i = 0; i < list.length; ++i) {\n      length += list[i].length\n    }\n  }\n\n  var buffer = Buffer.allocUnsafe(length)\n  var pos = 0\n  for (i = 0; i < list.length; ++i) {\n    var buf = list[i]\n    if (!Buffer.isBuffer(buf)) {\n      throw new TypeError('\"list\" argument must be an Array of Buffers')\n    }\n    buf.copy(buffer, pos)\n    pos += buf.length\n  }\n  return buffer\n}\n\nfunction byteLength (string, encoding) {\n  if (Buffer.isBuffer(string)) {\n    return string.length\n  }\n  if (typeof ArrayBuffer !== 'undefined' && typeof ArrayBuffer.isView === 'function' &&\n      (ArrayBuffer.isView(string) || string instanceof ArrayBuffer)) {\n    return string.byteLength\n  }\n  if (typeof string !== 'string') {\n    string = '' + string\n  }\n\n  var len = string.length\n  if (len === 0) return 0\n\n  // Use a for loop to avoid recursion\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'ascii':\n      case 'latin1':\n      case 'binary':\n        return len\n      case 'utf8':\n      case 'utf-8':\n      case undefined:\n        return utf8ToBytes(string).length\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return len * 2\n      case 'hex':\n        return len >>> 1\n      case 'base64':\n        return base64ToBytes(string).length\n      default:\n        if (loweredCase) return utf8ToBytes(string).length // assume utf8\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\nBuffer.byteLength = byteLength\n\nfunction slowToString (encoding, start, end) {\n  var loweredCase = false\n\n  // No need to verify that \"this.length <= MAX_UINT32\" since it's a read-only\n  // property of a typed array.\n\n  // This behaves neither like String nor Uint8Array in that we set start/end\n  // to their upper/lower bounds if the value passed is out of range.\n  // undefined is handled specially as per ECMA-262 6th Edition,\n  // Section 13.3.3.7 Runtime Semantics: KeyedBindingInitialization.\n  if (start === undefined || start < 0) {\n    start = 0\n  }\n  // Return early if start > this.length. Done here to prevent potential uint32\n  // coercion fail below.\n  if (start > this.length) {\n    return ''\n  }\n\n  if (end === undefined || end > this.length) {\n    end = this.length\n  }\n\n  if (end <= 0) {\n    return ''\n  }\n\n  // Force coersion to uint32. This will also coerce falsey/NaN values to 0.\n  end >>>= 0\n  start >>>= 0\n\n  if (end <= start) {\n    return ''\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  while (true) {\n    switch (encoding) {\n      case 'hex':\n        return hexSlice(this, start, end)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Slice(this, start, end)\n\n      case 'ascii':\n        return asciiSlice(this, start, end)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Slice(this, start, end)\n\n      case 'base64':\n        return base64Slice(this, start, end)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return utf16leSlice(this, start, end)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = (encoding + '').toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\n// The property is used by `Buffer.isBuffer` and `is-buffer` (in Safari 5-7) to detect\n// Buffer instances.\nBuffer.prototype._isBuffer = true\n\nfunction swap (b, n, m) {\n  var i = b[n]\n  b[n] = b[m]\n  b[m] = i\n}\n\nBuffer.prototype.swap16 = function swap16 () {\n  var len = this.length\n  if (len % 2 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 16-bits')\n  }\n  for (var i = 0; i < len; i += 2) {\n    swap(this, i, i + 1)\n  }\n  return this\n}\n\nBuffer.prototype.swap32 = function swap32 () {\n  var len = this.length\n  if (len % 4 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 32-bits')\n  }\n  for (var i = 0; i < len; i += 4) {\n    swap(this, i, i + 3)\n    swap(this, i + 1, i + 2)\n  }\n  return this\n}\n\nBuffer.prototype.swap64 = function swap64 () {\n  var len = this.length\n  if (len % 8 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 64-bits')\n  }\n  for (var i = 0; i < len; i += 8) {\n    swap(this, i, i + 7)\n    swap(this, i + 1, i + 6)\n    swap(this, i + 2, i + 5)\n    swap(this, i + 3, i + 4)\n  }\n  return this\n}\n\nBuffer.prototype.toString = function toString () {\n  var length = this.length | 0\n  if (length === 0) return ''\n  if (arguments.length === 0) return utf8Slice(this, 0, length)\n  return slowToString.apply(this, arguments)\n}\n\nBuffer.prototype.equals = function equals (b) {\n  if (!Buffer.isBuffer(b)) throw new TypeError('Argument must be a Buffer')\n  if (this === b) return true\n  return Buffer.compare(this, b) === 0\n}\n\nBuffer.prototype.inspect = function inspect () {\n  var str = ''\n  var max = exports.INSPECT_MAX_BYTES\n  if (this.length > 0) {\n    str = this.toString('hex', 0, max).match(/.{2}/g).join(' ')\n    if (this.length > max) str += ' ... '\n  }\n  return '<Buffer ' + str + '>'\n}\n\nBuffer.prototype.compare = function compare (target, start, end, thisStart, thisEnd) {\n  if (!Buffer.isBuffer(target)) {\n    throw new TypeError('Argument must be a Buffer')\n  }\n\n  if (start === undefined) {\n    start = 0\n  }\n  if (end === undefined) {\n    end = target ? target.length : 0\n  }\n  if (thisStart === undefined) {\n    thisStart = 0\n  }\n  if (thisEnd === undefined) {\n    thisEnd = this.length\n  }\n\n  if (start < 0 || end > target.length || thisStart < 0 || thisEnd > this.length) {\n    throw new RangeError('out of range index')\n  }\n\n  if (thisStart >= thisEnd && start >= end) {\n    return 0\n  }\n  if (thisStart >= thisEnd) {\n    return -1\n  }\n  if (start >= end) {\n    return 1\n  }\n\n  start >>>= 0\n  end >>>= 0\n  thisStart >>>= 0\n  thisEnd >>>= 0\n\n  if (this === target) return 0\n\n  var x = thisEnd - thisStart\n  var y = end - start\n  var len = Math.min(x, y)\n\n  var thisCopy = this.slice(thisStart, thisEnd)\n  var targetCopy = target.slice(start, end)\n\n  for (var i = 0; i < len; ++i) {\n    if (thisCopy[i] !== targetCopy[i]) {\n      x = thisCopy[i]\n      y = targetCopy[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\n// Finds either the first index of `val` in `buffer` at offset >= `byteOffset`,\n// OR the last index of `val` in `buffer` at offset <= `byteOffset`.\n//\n// Arguments:\n// - buffer - a Buffer to search\n// - val - a string, Buffer, or number\n// - byteOffset - an index into `buffer`; will be clamped to an int32\n// - encoding - an optional encoding, relevant is val is a string\n// - dir - true for indexOf, false for lastIndexOf\nfunction bidirectionalIndexOf (buffer, val, byteOffset, encoding, dir) {\n  // Empty buffer means no match\n  if (buffer.length === 0) return -1\n\n  // Normalize byteOffset\n  if (typeof byteOffset === 'string') {\n    encoding = byteOffset\n    byteOffset = 0\n  } else if (byteOffset > 0x7fffffff) {\n    byteOffset = 0x7fffffff\n  } else if (byteOffset < -0x80000000) {\n    byteOffset = -0x80000000\n  }\n  byteOffset = +byteOffset  // Coerce to Number.\n  if (isNaN(byteOffset)) {\n    // byteOffset: it it's undefined, null, NaN, \"foo\", etc, search whole buffer\n    byteOffset = dir ? 0 : (buffer.length - 1)\n  }\n\n  // Normalize byteOffset: negative offsets start from the end of the buffer\n  if (byteOffset < 0) byteOffset = buffer.length + byteOffset\n  if (byteOffset >= buffer.length) {\n    if (dir) return -1\n    else byteOffset = buffer.length - 1\n  } else if (byteOffset < 0) {\n    if (dir) byteOffset = 0\n    else return -1\n  }\n\n  // Normalize val\n  if (typeof val === 'string') {\n    val = Buffer.from(val, encoding)\n  }\n\n  // Finally, search either indexOf (if dir is true) or lastIndexOf\n  if (Buffer.isBuffer(val)) {\n    // Special case: looking for empty string/buffer always fails\n    if (val.length === 0) {\n      return -1\n    }\n    return arrayIndexOf(buffer, val, byteOffset, encoding, dir)\n  } else if (typeof val === 'number') {\n    val = val & 0xFF // Search for a byte value [0-255]\n    if (Buffer.TYPED_ARRAY_SUPPORT &&\n        typeof Uint8Array.prototype.indexOf === 'function') {\n      if (dir) {\n        return Uint8Array.prototype.indexOf.call(buffer, val, byteOffset)\n      } else {\n        return Uint8Array.prototype.lastIndexOf.call(buffer, val, byteOffset)\n      }\n    }\n    return arrayIndexOf(buffer, [ val ], byteOffset, encoding, dir)\n  }\n\n  throw new TypeError('val must be string, number or Buffer')\n}\n\nfunction arrayIndexOf (arr, val, byteOffset, encoding, dir) {\n  var indexSize = 1\n  var arrLength = arr.length\n  var valLength = val.length\n\n  if (encoding !== undefined) {\n    encoding = String(encoding).toLowerCase()\n    if (encoding === 'ucs2' || encoding === 'ucs-2' ||\n        encoding === 'utf16le' || encoding === 'utf-16le') {\n      if (arr.length < 2 || val.length < 2) {\n        return -1\n      }\n      indexSize = 2\n      arrLength /= 2\n      valLength /= 2\n      byteOffset /= 2\n    }\n  }\n\n  function read (buf, i) {\n    if (indexSize === 1) {\n      return buf[i]\n    } else {\n      return buf.readUInt16BE(i * indexSize)\n    }\n  }\n\n  var i\n  if (dir) {\n    var foundIndex = -1\n    for (i = byteOffset; i < arrLength; i++) {\n      if (read(arr, i) === read(val, foundIndex === -1 ? 0 : i - foundIndex)) {\n        if (foundIndex === -1) foundIndex = i\n        if (i - foundIndex + 1 === valLength) return foundIndex * indexSize\n      } else {\n        if (foundIndex !== -1) i -= i - foundIndex\n        foundIndex = -1\n      }\n    }\n  } else {\n    if (byteOffset + valLength > arrLength) byteOffset = arrLength - valLength\n    for (i = byteOffset; i >= 0; i--) {\n      var found = true\n      for (var j = 0; j < valLength; j++) {\n        if (read(arr, i + j) !== read(val, j)) {\n          found = false\n          break\n        }\n      }\n      if (found) return i\n    }\n  }\n\n  return -1\n}\n\nBuffer.prototype.includes = function includes (val, byteOffset, encoding) {\n  return this.indexOf(val, byteOffset, encoding) !== -1\n}\n\nBuffer.prototype.indexOf = function indexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, true)\n}\n\nBuffer.prototype.lastIndexOf = function lastIndexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, false)\n}\n\nfunction hexWrite (buf, string, offset, length) {\n  offset = Number(offset) || 0\n  var remaining = buf.length - offset\n  if (!length) {\n    length = remaining\n  } else {\n    length = Number(length)\n    if (length > remaining) {\n      length = remaining\n    }\n  }\n\n  // must be an even number of digits\n  var strLen = string.length\n  if (strLen % 2 !== 0) throw new TypeError('Invalid hex string')\n\n  if (length > strLen / 2) {\n    length = strLen / 2\n  }\n  for (var i = 0; i < length; ++i) {\n    var parsed = parseInt(string.substr(i * 2, 2), 16)\n    if (isNaN(parsed)) return i\n    buf[offset + i] = parsed\n  }\n  return i\n}\n\nfunction utf8Write (buf, string, offset, length) {\n  return blitBuffer(utf8ToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nfunction asciiWrite (buf, string, offset, length) {\n  return blitBuffer(asciiToBytes(string), buf, offset, length)\n}\n\nfunction latin1Write (buf, string, offset, length) {\n  return asciiWrite(buf, string, offset, length)\n}\n\nfunction base64Write (buf, string, offset, length) {\n  return blitBuffer(base64ToBytes(string), buf, offset, length)\n}\n\nfunction ucs2Write (buf, string, offset, length) {\n  return blitBuffer(utf16leToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nBuffer.prototype.write = function write (string, offset, length, encoding) {\n  // Buffer#write(string)\n  if (offset === undefined) {\n    encoding = 'utf8'\n    length = this.length\n    offset = 0\n  // Buffer#write(string, encoding)\n  } else if (length === undefined && typeof offset === 'string') {\n    encoding = offset\n    length = this.length\n    offset = 0\n  // Buffer#write(string, offset[, length][, encoding])\n  } else if (isFinite(offset)) {\n    offset = offset | 0\n    if (isFinite(length)) {\n      length = length | 0\n      if (encoding === undefined) encoding = 'utf8'\n    } else {\n      encoding = length\n      length = undefined\n    }\n  // legacy write(string, encoding, offset, length) - remove in v0.13\n  } else {\n    throw new Error(\n      'Buffer.write(string, encoding, offset[, length]) is no longer supported'\n    )\n  }\n\n  var remaining = this.length - offset\n  if (length === undefined || length > remaining) length = remaining\n\n  if ((string.length > 0 && (length < 0 || offset < 0)) || offset > this.length) {\n    throw new RangeError('Attempt to write outside buffer bounds')\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'hex':\n        return hexWrite(this, string, offset, length)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Write(this, string, offset, length)\n\n      case 'ascii':\n        return asciiWrite(this, string, offset, length)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Write(this, string, offset, length)\n\n      case 'base64':\n        // Warning: maxLength not taken into account in base64Write\n        return base64Write(this, string, offset, length)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return ucs2Write(this, string, offset, length)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\nBuffer.prototype.toJSON = function toJSON () {\n  return {\n    type: 'Buffer',\n    data: Array.prototype.slice.call(this._arr || this, 0)\n  }\n}\n\nfunction base64Slice (buf, start, end) {\n  if (start === 0 && end === buf.length) {\n    return base64.fromByteArray(buf)\n  } else {\n    return base64.fromByteArray(buf.slice(start, end))\n  }\n}\n\nfunction utf8Slice (buf, start, end) {\n  end = Math.min(buf.length, end)\n  var res = []\n\n  var i = start\n  while (i < end) {\n    var firstByte = buf[i]\n    var codePoint = null\n    var bytesPerSequence = (firstByte > 0xEF) ? 4\n      : (firstByte > 0xDF) ? 3\n      : (firstByte > 0xBF) ? 2\n      : 1\n\n    if (i + bytesPerSequence <= end) {\n      var secondByte, thirdByte, fourthByte, tempCodePoint\n\n      switch (bytesPerSequence) {\n        case 1:\n          if (firstByte < 0x80) {\n            codePoint = firstByte\n          }\n          break\n        case 2:\n          secondByte = buf[i + 1]\n          if ((secondByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0x1F) << 0x6 | (secondByte & 0x3F)\n            if (tempCodePoint > 0x7F) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 3:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0xC | (secondByte & 0x3F) << 0x6 | (thirdByte & 0x3F)\n            if (tempCodePoint > 0x7FF && (tempCodePoint < 0xD800 || tempCodePoint > 0xDFFF)) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 4:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          fourthByte = buf[i + 3]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80 && (fourthByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0x12 | (secondByte & 0x3F) << 0xC | (thirdByte & 0x3F) << 0x6 | (fourthByte & 0x3F)\n            if (tempCodePoint > 0xFFFF && tempCodePoint < 0x110000) {\n              codePoint = tempCodePoint\n            }\n          }\n      }\n    }\n\n    if (codePoint === null) {\n      // we did not generate a valid codePoint so insert a\n      // replacement char (U+FFFD) and advance only 1 byte\n      codePoint = 0xFFFD\n      bytesPerSequence = 1\n    } else if (codePoint > 0xFFFF) {\n      // encode to utf16 (surrogate pair dance)\n      codePoint -= 0x10000\n      res.push(codePoint >>> 10 & 0x3FF | 0xD800)\n      codePoint = 0xDC00 | codePoint & 0x3FF\n    }\n\n    res.push(codePoint)\n    i += bytesPerSequence\n  }\n\n  return decodeCodePointsArray(res)\n}\n\n// Based on http://stackoverflow.com/a/22747272/680742, the browser with\n// the lowest limit is Chrome, with 0x10000 args.\n// We go 1 magnitude less, for safety\nvar MAX_ARGUMENTS_LENGTH = 0x1000\n\nfunction decodeCodePointsArray (codePoints) {\n  var len = codePoints.length\n  if (len <= MAX_ARGUMENTS_LENGTH) {\n    return String.fromCharCode.apply(String, codePoints) // avoid extra slice()\n  }\n\n  // Decode in chunks to avoid \"call stack size exceeded\".\n  var res = ''\n  var i = 0\n  while (i < len) {\n    res += String.fromCharCode.apply(\n      String,\n      codePoints.slice(i, i += MAX_ARGUMENTS_LENGTH)\n    )\n  }\n  return res\n}\n\nfunction asciiSlice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i] & 0x7F)\n  }\n  return ret\n}\n\nfunction latin1Slice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i])\n  }\n  return ret\n}\n\nfunction hexSlice (buf, start, end) {\n  var len = buf.length\n\n  if (!start || start < 0) start = 0\n  if (!end || end < 0 || end > len) end = len\n\n  var out = ''\n  for (var i = start; i < end; ++i) {\n    out += toHex(buf[i])\n  }\n  return out\n}\n\nfunction utf16leSlice (buf, start, end) {\n  var bytes = buf.slice(start, end)\n  var res = ''\n  for (var i = 0; i < bytes.length; i += 2) {\n    res += String.fromCharCode(bytes[i] + bytes[i + 1] * 256)\n  }\n  return res\n}\n\nBuffer.prototype.slice = function slice (start, end) {\n  var len = this.length\n  start = ~~start\n  end = end === undefined ? len : ~~end\n\n  if (start < 0) {\n    start += len\n    if (start < 0) start = 0\n  } else if (start > len) {\n    start = len\n  }\n\n  if (end < 0) {\n    end += len\n    if (end < 0) end = 0\n  } else if (end > len) {\n    end = len\n  }\n\n  if (end < start) end = start\n\n  var newBuf\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    newBuf = this.subarray(start, end)\n    newBuf.__proto__ = Buffer.prototype\n  } else {\n    var sliceLen = end - start\n    newBuf = new Buffer(sliceLen, undefined)\n    for (var i = 0; i < sliceLen; ++i) {\n      newBuf[i] = this[i + start]\n    }\n  }\n\n  return newBuf\n}\n\n/*\n * Need to make sure that buffer isn't trying to write out of bounds.\n */\nfunction checkOffset (offset, ext, length) {\n  if ((offset % 1) !== 0 || offset < 0) throw new RangeError('offset is not uint')\n  if (offset + ext > length) throw new RangeError('Trying to access beyond buffer length')\n}\n\nBuffer.prototype.readUIntLE = function readUIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUIntBE = function readUIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    checkOffset(offset, byteLength, this.length)\n  }\n\n  var val = this[offset + --byteLength]\n  var mul = 1\n  while (byteLength > 0 && (mul *= 0x100)) {\n    val += this[offset + --byteLength] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUInt8 = function readUInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  return this[offset]\n}\n\nBuffer.prototype.readUInt16LE = function readUInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return this[offset] | (this[offset + 1] << 8)\n}\n\nBuffer.prototype.readUInt16BE = function readUInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return (this[offset] << 8) | this[offset + 1]\n}\n\nBuffer.prototype.readUInt32LE = function readUInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return ((this[offset]) |\n      (this[offset + 1] << 8) |\n      (this[offset + 2] << 16)) +\n      (this[offset + 3] * 0x1000000)\n}\n\nBuffer.prototype.readUInt32BE = function readUInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] * 0x1000000) +\n    ((this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    this[offset + 3])\n}\n\nBuffer.prototype.readIntLE = function readIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readIntBE = function readIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var i = byteLength\n  var mul = 1\n  var val = this[offset + --i]\n  while (i > 0 && (mul *= 0x100)) {\n    val += this[offset + --i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readInt8 = function readInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  if (!(this[offset] & 0x80)) return (this[offset])\n  return ((0xff - this[offset] + 1) * -1)\n}\n\nBuffer.prototype.readInt16LE = function readInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset] | (this[offset + 1] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt16BE = function readInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset + 1] | (this[offset] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt32LE = function readInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset]) |\n    (this[offset + 1] << 8) |\n    (this[offset + 2] << 16) |\n    (this[offset + 3] << 24)\n}\n\nBuffer.prototype.readInt32BE = function readInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] << 24) |\n    (this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    (this[offset + 3])\n}\n\nBuffer.prototype.readFloatLE = function readFloatLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, true, 23, 4)\n}\n\nBuffer.prototype.readFloatBE = function readFloatBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, false, 23, 4)\n}\n\nBuffer.prototype.readDoubleLE = function readDoubleLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, true, 52, 8)\n}\n\nBuffer.prototype.readDoubleBE = function readDoubleBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, false, 52, 8)\n}\n\nfunction checkInt (buf, value, offset, ext, max, min) {\n  if (!Buffer.isBuffer(buf)) throw new TypeError('\"buffer\" argument must be a Buffer instance')\n  if (value > max || value < min) throw new RangeError('\"value\" argument is out of bounds')\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n}\n\nBuffer.prototype.writeUIntLE = function writeUIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var mul = 1\n  var i = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUIntBE = function writeUIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUInt8 = function writeUInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0xff, 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nfunction objectWriteUInt16 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 2); i < j; ++i) {\n    buf[offset + i] = (value & (0xff << (8 * (littleEndian ? i : 1 - i)))) >>>\n      (littleEndian ? i : 1 - i) * 8\n  }\n}\n\nBuffer.prototype.writeUInt16LE = function writeUInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeUInt16BE = function writeUInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nfunction objectWriteUInt32 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffffffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 4); i < j; ++i) {\n    buf[offset + i] = (value >>> (littleEndian ? i : 3 - i) * 8) & 0xff\n  }\n}\n\nBuffer.prototype.writeUInt32LE = function writeUInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset + 3] = (value >>> 24)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 1] = (value >>> 8)\n    this[offset] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeUInt32BE = function writeUInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeIntLE = function writeIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = 0\n  var mul = 1\n  var sub = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i - 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeIntBE = function writeIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  var sub = 0\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i + 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeInt8 = function writeInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0x7f, -0x80)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  if (value < 0) value = 0xff + value + 1\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nBuffer.prototype.writeInt16LE = function writeInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt16BE = function writeInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt32LE = function writeInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 3] = (value >>> 24)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeInt32BE = function writeInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (value < 0) value = 0xffffffff + value + 1\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nfunction checkIEEE754 (buf, value, offset, ext, max, min) {\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n  if (offset < 0) throw new RangeError('Index out of range')\n}\n\nfunction writeFloat (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 4, 3.4028234663852886e+38, -3.4028234663852886e+38)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 23, 4)\n  return offset + 4\n}\n\nBuffer.prototype.writeFloatLE = function writeFloatLE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeFloatBE = function writeFloatBE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, false, noAssert)\n}\n\nfunction writeDouble (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 8, 1.7976931348623157E+308, -1.7976931348623157E+308)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 52, 8)\n  return offset + 8\n}\n\nBuffer.prototype.writeDoubleLE = function writeDoubleLE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeDoubleBE = function writeDoubleBE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, false, noAssert)\n}\n\n// copy(targetBuffer, targetStart=0, sourceStart=0, sourceEnd=buffer.length)\nBuffer.prototype.copy = function copy (target, targetStart, start, end) {\n  if (!start) start = 0\n  if (!end && end !== 0) end = this.length\n  if (targetStart >= target.length) targetStart = target.length\n  if (!targetStart) targetStart = 0\n  if (end > 0 && end < start) end = start\n\n  // Copy 0 bytes; we're done\n  if (end === start) return 0\n  if (target.length === 0 || this.length === 0) return 0\n\n  // Fatal error conditions\n  if (targetStart < 0) {\n    throw new RangeError('targetStart out of bounds')\n  }\n  if (start < 0 || start >= this.length) throw new RangeError('sourceStart out of bounds')\n  if (end < 0) throw new RangeError('sourceEnd out of bounds')\n\n  // Are we oob?\n  if (end > this.length) end = this.length\n  if (target.length - targetStart < end - start) {\n    end = target.length - targetStart + start\n  }\n\n  var len = end - start\n  var i\n\n  if (this === target && start < targetStart && targetStart < end) {\n    // descending copy from end\n    for (i = len - 1; i >= 0; --i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else if (len < 1000 || !Buffer.TYPED_ARRAY_SUPPORT) {\n    // ascending copy from start\n    for (i = 0; i < len; ++i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else {\n    Uint8Array.prototype.set.call(\n      target,\n      this.subarray(start, start + len),\n      targetStart\n    )\n  }\n\n  return len\n}\n\n// Usage:\n//    buffer.fill(number[, offset[, end]])\n//    buffer.fill(buffer[, offset[, end]])\n//    buffer.fill(string[, offset[, end]][, encoding])\nBuffer.prototype.fill = function fill (val, start, end, encoding) {\n  // Handle string cases:\n  if (typeof val === 'string') {\n    if (typeof start === 'string') {\n      encoding = start\n      start = 0\n      end = this.length\n    } else if (typeof end === 'string') {\n      encoding = end\n      end = this.length\n    }\n    if (val.length === 1) {\n      var code = val.charCodeAt(0)\n      if (code < 256) {\n        val = code\n      }\n    }\n    if (encoding !== undefined && typeof encoding !== 'string') {\n      throw new TypeError('encoding must be a string')\n    }\n    if (typeof encoding === 'string' && !Buffer.isEncoding(encoding)) {\n      throw new TypeError('Unknown encoding: ' + encoding)\n    }\n  } else if (typeof val === 'number') {\n    val = val & 255\n  }\n\n  // Invalid ranges are not set to a default, so can range check early.\n  if (start < 0 || this.length < start || this.length < end) {\n    throw new RangeError('Out of range index')\n  }\n\n  if (end <= start) {\n    return this\n  }\n\n  start = start >>> 0\n  end = end === undefined ? this.length : end >>> 0\n\n  if (!val) val = 0\n\n  var i\n  if (typeof val === 'number') {\n    for (i = start; i < end; ++i) {\n      this[i] = val\n    }\n  } else {\n    var bytes = Buffer.isBuffer(val)\n      ? val\n      : utf8ToBytes(new Buffer(val, encoding).toString())\n    var len = bytes.length\n    for (i = 0; i < end - start; ++i) {\n      this[i + start] = bytes[i % len]\n    }\n  }\n\n  return this\n}\n\n// HELPER FUNCTIONS\n// ================\n\nvar INVALID_BASE64_RE = /[^+\\/0-9A-Za-z-_]/g\n\nfunction base64clean (str) {\n  // Node strips out invalid characters like \\n and \\t from the string, base64-js does not\n  str = stringtrim(str).replace(INVALID_BASE64_RE, '')\n  // Node converts strings with length < 2 to ''\n  if (str.length < 2) return ''\n  // Node allows for non-padded base64 strings (missing trailing ===), base64-js does not\n  while (str.length % 4 !== 0) {\n    str = str + '='\n  }\n  return str\n}\n\nfunction stringtrim (str) {\n  if (str.trim) return str.trim()\n  return str.replace(/^\\s+|\\s+$/g, '')\n}\n\nfunction toHex (n) {\n  if (n < 16) return '0' + n.toString(16)\n  return n.toString(16)\n}\n\nfunction utf8ToBytes (string, units) {\n  units = units || Infinity\n  var codePoint\n  var length = string.length\n  var leadSurrogate = null\n  var bytes = []\n\n  for (var i = 0; i < length; ++i) {\n    codePoint = string.charCodeAt(i)\n\n    // is surrogate component\n    if (codePoint > 0xD7FF && codePoint < 0xE000) {\n      // last char was a lead\n      if (!leadSurrogate) {\n        // no lead yet\n        if (codePoint > 0xDBFF) {\n          // unexpected trail\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        } else if (i + 1 === length) {\n          // unpaired lead\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        }\n\n        // valid lead\n        leadSurrogate = codePoint\n\n        continue\n      }\n\n      // 2 leads in a row\n      if (codePoint < 0xDC00) {\n        if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n        leadSurrogate = codePoint\n        continue\n      }\n\n      // valid surrogate pair\n      codePoint = (leadSurrogate - 0xD800 << 10 | codePoint - 0xDC00) + 0x10000\n    } else if (leadSurrogate) {\n      // valid bmp char, but last char was a lead\n      if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n    }\n\n    leadSurrogate = null\n\n    // encode utf8\n    if (codePoint < 0x80) {\n      if ((units -= 1) < 0) break\n      bytes.push(codePoint)\n    } else if (codePoint < 0x800) {\n      if ((units -= 2) < 0) break\n      bytes.push(\n        codePoint >> 0x6 | 0xC0,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x10000) {\n      if ((units -= 3) < 0) break\n      bytes.push(\n        codePoint >> 0xC | 0xE0,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x110000) {\n      if ((units -= 4) < 0) break\n      bytes.push(\n        codePoint >> 0x12 | 0xF0,\n        codePoint >> 0xC & 0x3F | 0x80,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else {\n      throw new Error('Invalid code point')\n    }\n  }\n\n  return bytes\n}\n\nfunction asciiToBytes (str) {\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    // Node's code seems to be doing this and not & 0x7F..\n    byteArray.push(str.charCodeAt(i) & 0xFF)\n  }\n  return byteArray\n}\n\nfunction utf16leToBytes (str, units) {\n  var c, hi, lo\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    if ((units -= 2) < 0) break\n\n    c = str.charCodeAt(i)\n    hi = c >> 8\n    lo = c % 256\n    byteArray.push(lo)\n    byteArray.push(hi)\n  }\n\n  return byteArray\n}\n\nfunction base64ToBytes (str) {\n  return base64.toByteArray(base64clean(str))\n}\n\nfunction blitBuffer (src, dst, offset, length) {\n  for (var i = 0; i < length; ++i) {\n    if ((i + offset >= dst.length) || (i >= src.length)) break\n    dst[i + offset] = src[i]\n  }\n  return i\n}\n\nfunction isnan (val) {\n  return val !== val // eslint-disable-line no-self-compare\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tensorToString} from './tensor_format';\nimport {ArrayMap, BackendValues, DataType, DataTypeMap, DataValues, NumericDataType, Rank, ShapeMap, SingleValueMap, TensorLike, TensorLike1D, TensorLike3D, TensorLike4D, TypedArray} from './types';\nimport * as util from './util';\nimport {computeStrides, toNestedArray} from './util';\n\nexport interface TensorData<D extends DataType> {\n  dataId?: DataId;\n  values?: DataTypeMap[D];\n}\n\n// This interface mimics KernelBackend (in backend.ts), which would create a\n// circular dependency if imported.\nexport interface Backend {}\n\n/**\n * A mutable object, similar to `tf.Tensor`, that allows users to set values\n * at locations before converting to an immutable `tf.Tensor`.\n *\n * See `tf.buffer` for creating a tensor buffer.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class TensorBuffer<R extends Rank, D extends DataType = 'float32'> {\n  size: number;\n  shape: ShapeMap[R];\n  strides: number[];\n  values: DataTypeMap[D];\n\n  constructor(shape: ShapeMap[R], public dtype: D, values?: DataTypeMap[D]) {\n    this.shape = shape.slice() as ShapeMap[R];\n    this.size = util.sizeFromShape(shape);\n\n    if (values != null) {\n      const n = values.length;\n      util.assert(\n          n === this.size,\n          () => `Length of values '${n}' does not match the size ` +\n              `inferred by the shape '${this.size}'.`);\n    }\n    if (dtype === 'complex64') {\n      throw new Error(\n          `complex64 dtype TensorBuffers are not supported. Please create ` +\n          `a TensorBuffer for the real and imaginary parts separately and ` +\n          `call tf.complex(real, imag).`);\n    }\n    this.values = values || util.getArrayFromDType(dtype, this.size);\n    this.strides = computeStrides(shape);\n  }\n\n  /**\n   * Sets a value in the buffer at a given location.\n   *\n   * @param value The value to set.\n   * @param locs  The location indices.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  set(value: SingleValueMap[D], ...locs: number[]): void {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    util.assert(\n        locs.length === this.rank,\n        () => `The number of provided coordinates (${locs.length}) must ` +\n            `match the rank (${this.rank})`);\n\n    const index = this.locToIndex(locs);\n    this.values[index] = value as number;\n  }\n\n  /**\n   * Returns the value in the buffer at the provided location.\n   *\n   * @param locs The location indices.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  get(...locs: number[]): SingleValueMap[D] {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    let i = 0;\n    for (const loc of locs) {\n      if (loc < 0 || loc >= this.shape[i]) {\n        const msg = `Requested out of range element at ${locs}. ` +\n            `  Buffer shape=${this.shape}`;\n        throw new Error(msg);\n      }\n      i++;\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return this.values[index] as SingleValueMap[D];\n  }\n\n  locToIndex(locs: number[]): number {\n    if (this.rank === 0) {\n      return 0;\n    } else if (this.rank === 1) {\n      return locs[0];\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return index;\n  }\n\n  indexToLoc(index: number): number[] {\n    if (this.rank === 0) {\n      return [];\n    } else if (this.rank === 1) {\n      return [index];\n    }\n    const locs: number[] = new Array(this.shape.length);\n    for (let i = 0; i < locs.length - 1; ++i) {\n      locs[i] = Math.floor(index / this.strides[i]);\n      index -= locs[i] * this.strides[i];\n    }\n    locs[locs.length - 1] = index;\n    return locs;\n  }\n\n  get rank() {\n    return this.shape.length;\n  }\n\n  /**\n   * Creates an immutable `tf.Tensor` object from the buffer.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  toTensor(): Tensor<R> {\n    return trackerFn().makeTensor(this.values, this.shape, this.dtype) as\n        Tensor<R>;\n  }\n}\n\nexport interface TensorTracker {\n  makeTensor(\n      values: DataValues, shape: number[], dtype: DataType,\n      backend?: Backend): Tensor;\n  makeVariable(\n      initialValue: Tensor, trainable?: boolean, name?: string,\n      dtype?: DataType): Variable;\n  incRef(a: Tensor, backend: Backend): void;\n  disposeTensor(t: Tensor): void;\n  disposeVariable(v: Variable): void;\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n}\n\n/**\n * The Tensor class calls into this handler to delegate chaining operations.\n */\nexport interface OpHandler {\n  cast<T extends Tensor>(x: T, dtype: DataType): T;\n  buffer<R extends Rank, D extends DataType>(\n      shape: ShapeMap[R], dtype: D,\n      values?: DataTypeMap[D]): TensorBuffer<R, D>;\n  print<T extends Tensor>(x: T, verbose: boolean): void;\n  reshape<R2 extends Rank>(x: Tensor, shape: ShapeMap[R2]): Tensor<R2>;\n  expandDims<R2 extends Rank>(x: Tensor, axis: number): Tensor<R2>;\n  cumsum<T extends Tensor>(\n      x: Tensor, axis: number, exclusive: boolean, reverse: boolean): T;\n  squeeze<T extends Tensor>(x: Tensor, axis?: number[]): T;\n  clone<T extends Tensor>(x: T): T;\n  oneHot(\n      x: Tensor|TensorLike, depth: number, onValue?: number,\n      offValue?: number): Tensor;\n  tile<T extends Tensor>(x: T, reps: number[]): T;\n  gather<T extends Tensor>(x: T, indices: Tensor|TensorLike, axis: number): T;\n  matMul<T extends Tensor>(\n      a: T, b: T|TensorLike, transposeA: boolean, transposeB: boolean): T;\n  dot(t1: Tensor, t2: Tensor|TensorLike): Tensor;\n  norm(\n      x: Tensor, ord: number|'euclidean'|'fro', axis: number|number[],\n      keepDims: boolean): Tensor;\n  slice<R extends Rank, T extends Tensor<R>>(\n      x: T, begin: number|number[], size?: number|number[]): T;\n  split<T extends Tensor>(\n      x: T, numOrSizeSplits: number[]|number, axis?: number): T[];\n  reverse<T extends Tensor>(x: T, axis?: number|number[]): T;\n  concat<T extends Tensor>(tensors: Array<T|TensorLike>, axis: number): T;\n  stack<T extends Tensor>(tensors: Array<T|TensorLike>, axis: number): Tensor;\n  unstack<T extends Tensor>(value: T, axis: number): Tensor[];\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T;\n  batchNorm<R extends Rank>(\n      x: Tensor<R>, mean: Tensor<R>|Tensor1D|TensorLike,\n      variance: Tensor<R>|Tensor1D|TensorLike,\n      offset?: Tensor<R>|Tensor1D|TensorLike,\n      scale?: Tensor<R>|Tensor1D|TensorLike,\n      varianceEpsilon?: number): Tensor<R>;\n  all<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  any<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  logSumExp<T extends Tensor>(\n      x: Tensor, axis: number|number[], keepDims: boolean): T;\n  sum<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  prod<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean):\n      T;\n  mean<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean):\n      T;\n  min<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  max<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  argMin<T extends Tensor>(x: Tensor, axis: number): T;\n  argMax<T extends Tensor>(x: Tensor, axis: number): T;\n  add<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  addStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  atan2<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  sub<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  subStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  pow<T extends Tensor>(base: T, exp: Tensor|TensorLike): T;\n  powStrict<T extends Tensor>(base: T, exp: Tensor|TensorLike): T;\n  mul<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  mulStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  div<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  divNoNan<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  floorDiv<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  divStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  mod<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  modStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  minimum<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  minimumStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  maximum<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  maximumStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  squaredDifference<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  squaredDifferenceStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  transpose<T extends Tensor>(x: T, perm?: number[]): T;\n  logicalNot<T extends Tensor>(x: T): T;\n  logicalAnd<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  logicalOr<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  logicalXor<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  where<T extends Tensor>(condition: Tensor|TensorLike, a: T, b: T|TensorLike):\n      T;\n  notEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  notEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  less<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  lessStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  equal<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  equalStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  lessEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  lessEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  greater<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  greaterStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  greaterEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  greaterEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  neg<T extends Tensor>(x: T): T;\n  ceil<T extends Tensor>(x: T): T;\n  floor<T extends Tensor>(x: T): T;\n  sign<T extends Tensor>(x: T): T;\n  isNaN<T extends Tensor>(x: T): T;\n  isInf<T extends Tensor>(x: T): T;\n  isFinite<T extends Tensor>(x: T): T;\n  round<T extends Tensor>(x: T): T;\n  exp<T extends Tensor>(x: T): T;\n  expm1<T extends Tensor>(x: T): T;\n  log<T extends Tensor>(x: T): T;\n  log1p<T extends Tensor>(x: T): T;\n  sqrt<T extends Tensor>(x: T): T;\n  rsqrt<T extends Tensor>(x: T): T;\n  square<T extends Tensor>(x: T): T;\n  reciprocal<T extends Tensor>(x: T): T;\n  abs<T extends Tensor>(x: T): T;\n  clipByValue<T extends Tensor>(\n      x: T, clipValueMin: number, clipValueMax: number): T;\n  sigmoid<T extends Tensor>(x: T): T;\n  logSigmoid<T extends Tensor>(x: T): T;\n  softplus<T extends Tensor>(x: T): T;\n  zerosLike<T extends Tensor>(x: T): T;\n  onesLike<T extends Tensor>(x: T): T;\n  sin<T extends Tensor>(x: T): T;\n  cos<T extends Tensor>(x: T): T;\n  tan<T extends Tensor>(x: T): T;\n  asin<T extends Tensor>(x: T): T;\n  acos<T extends Tensor>(x: T): T;\n  atan<T extends Tensor>(x: T): T;\n  sinh<T extends Tensor>(x: T): T;\n  cosh<T extends Tensor>(x: T): T;\n  tanh<T extends Tensor>(x: T): T;\n  asinh<T extends Tensor>(x: T): T;\n  acosh<T extends Tensor>(x: T): T;\n  atanh<T extends Tensor>(x: T): T;\n  erf<T extends Tensor>(x: T): T;\n  step<T extends Tensor>(x: T, alpha: number): T;\n  relu<T extends Tensor>(x: T): T;\n  relu6<T extends Tensor>(x: T): T;\n  elu<T extends Tensor>(x: T): T;\n  selu<T extends Tensor>(x: T): T;\n  leakyRelu<T extends Tensor>(x: T, alpha: number): T;\n  prelu<T extends Tensor>(x: T, alpha: T|TensorLike): T;\n  softmax<T extends Tensor>(logits: T, dim: number): T;\n  logSoftmax<T extends Tensor>(logits: T, axis: number): T;\n  image: {\n    resizeBilinear<T extends Tensor3D|Tensor4D>(\n        images: T, size: [number, number], alignCorners: boolean): T;\n    resizeNearestNeighbor<T extends Tensor3D|Tensor4D>(\n        images: T, size: [number, number], alignCorners: boolean): T;\n  };\n  conv1d<T extends Tensor2D|Tensor3D>(\n      x: T, filter: Tensor3D|TensorLike3D, stride: number,\n      pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW', dilation: number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  conv2d<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW',\n      dilations: [number, number]|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  conv2dTranspose<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D,\n      outputShape: [number, number, number, number]|[number, number, number],\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  depthwiseConv2d<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW',\n      dilations: [number, number]|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  separableConv2d<T extends Tensor3D|Tensor4D>(\n      x: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike4D,\n      pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n      pad: 'valid'|'same', dilation: [number, number]|number,\n      dataFormat: 'NHWC'|'NCHW'): T;\n  maxPool<T extends Tensor3D|Tensor4D>(\n      x: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  avgPool<T extends Tensor3D|Tensor4D>(\n      x: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  pool<T extends Tensor3D|Tensor4D>(\n      input: T, windowShape: [number, number]|number, poolingType: 'avg'|'max',\n      padding: 'valid'|'same'|number, diationRate?: [number, number]|number,\n      strides?: [number, number]|number): T;\n  localResponseNormalization<T extends Tensor3D|Tensor4D>(\n      x: T, depthRadius: number, bias: number, alpha: number, beta: number): T;\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D|TensorLike1D, numSegments: number): T;\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T;\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: number[][]): T;\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean):\n      {values: T, indices: T};\n  stridedSlice(\n      x: Tensor, begin: number[], end: number[], strides: number[],\n      beginMask: number, endMask: number, ellipsisMask: number,\n      newAxisMask: number, shrinkAxisMask: number): Tensor;\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: string): Tensor4D;\n  spectral: {\n    fft(x: Tensor): Tensor; ifft(x: Tensor): Tensor; rfft(x: Tensor): Tensor;\n    irfft(x: Tensor): Tensor\n  };\n}\n\n// For tracking tensor creation and disposal.\nlet trackerFn: () => TensorTracker = null;\n// Used by chaining methods to call into ops.\nlet opHandler: OpHandler = null;\n// Used to warn about deprecated methods.\nlet deprecationWarningFn: (msg: string) => void = null;\n// This here so that we can use this method on dev branches and keep the\n// functionality at master.\n// tslint:disable-next-line:no-unused-expression\n[deprecationWarningFn];\n\n/**\n * An external consumer can register itself as the tensor tracker. This way\n * the Tensor class can notify the tracker for every tensor created and\n * disposed.\n */\nexport function setTensorTracker(fn: () => TensorTracker) {\n  trackerFn = fn;\n}\n\n/**\n * An external consumer can register itself as the op handler. This way the\n * Tensor class can have chaining methods that call into ops via the op\n * handler.\n */\nexport function setOpHandler(handler: OpHandler) {\n  opHandler = handler;\n}\n\n/**\n * Sets the deprecation warning function to be used by this file. This way the\n * Tensor class can be a leaf but still use the environment.\n */\nexport function setDeprecationWarningFn(fn: (msg: string) => void) {\n  deprecationWarningFn = fn;\n}\n\n/**\n * We wrap data id since we use weak map to avoid memory leaks.\n * Since we have our own memory management, we have a reference counter\n * mapping a tensor to its data, so there is always a pointer (even if that\n * data is otherwise garbage collectable).\n * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/\n * Global_Objects/WeakMap\n */\nexport type DataId = object;  // object instead of {} to force non-primitive.\n\n/**\n * A `tf.Tensor` object represents an immutable, multidimensional array of\n * numbers that has a shape and a data type.\n *\n * See `tf.tensor` for details on how to create a `tf.Tensor`.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class Tensor<R extends Rank = Rank> {\n  /** Unique id of this tensor. */\n  readonly id: number;\n  /**\n   * Id of the bucket holding the data for this tensor. Multiple arrays can\n   * point to the same bucket (e.g. when calling array.reshape()).\n   */\n  dataId: DataId;\n  /** The shape of the tensor. */\n  readonly shape: ShapeMap[R];\n  /** Number of elements in the tensor. */\n  readonly size: number;\n  /** The data type for the array. */\n  readonly dtype: DataType;\n  /** The rank type for the array (see `Rank` enum). */\n  readonly rankType: R;\n\n  /** Whether this tensor has been globally kept. */\n  kept = false;\n  /** The id of the scope this tensor is being tracked in. */\n  scopeId: number;\n\n  /**\n   * Number of elements to skip in each dimension when indexing. See\n   * https://docs.scipy.org/doc/numpy/reference/generated/\\\n   * numpy.ndarray.strides.html\n   */\n  readonly strides: number[];\n\n  constructor(shape: ShapeMap[R], dtype: DataType, dataId: DataId, id: number) {\n    this.shape = shape.slice() as ShapeMap[R];\n    this.dtype = dtype || 'float32';\n    this.size = util.sizeFromShape(shape);\n    this.strides = computeStrides(shape);\n    this.dataId = dataId;\n    this.id = id;\n    this.rankType = (this.rank < 5 ? this.rank.toString() : 'higher') as R;\n  }\n\n  /** Flatten a Tensor to a 1D array. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  flatten(): Tensor1D {\n    this.throwIfDisposed();\n    return this.as1D();\n  }\n\n  /** Converts a size-1 `tf.Tensor` to a `tf.Scalar`. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  asScalar(): Scalar {\n    this.throwIfDisposed();\n    util.assert(this.size === 1, () => 'The array must have only 1 element.');\n    return this.reshape<Rank.R0>([]);\n  }\n\n  /** Converts a `tf.Tensor` to a `tf.Tensor1D`. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as1D(): Tensor1D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R1>([this.size]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor2D`.\n   *\n   * @param rows Number of rows in `tf.Tensor2D`.\n   * @param columns Number of columns in `tf.Tensor2D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as2D(rows: number, columns: number): Tensor2D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R2>([rows, columns]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor3D`.\n   *\n   * @param rows Number of rows in `tf.Tensor3D`.\n   * @param columns Number of columns in `tf.Tensor3D`.\n   * @param depth Depth of `tf.Tensor3D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as3D(rows: number, columns: number, depth: number): Tensor3D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R3>([rows, columns, depth]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor4D`.\n   *\n   * @param rows Number of rows in `tf.Tensor4D`.\n   * @param columns Number of columns in `tf.Tensor4D`.\n   * @param depth Depth of `tf.Tensor4D`.\n   * @param depth2 4th dimension of `tf.Tensor4D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as4D(rows: number, columns: number, depth: number, depth2: number): Tensor4D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R4>([rows, columns, depth, depth2]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor5D`.\n   *\n   * @param rows Number of rows in `tf.Tensor5D`.\n   * @param columns Number of columns in `tf.Tensor5D`.\n   * @param depth Depth of `tf.Tensor5D`.\n   * @param depth2 4th dimension of `tf.Tensor5D`.\n   * @param depth3 5th dimension of 'tf.Tensor5D'\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as5D(\n      rows: number, columns: number, depth: number, depth2: number,\n      depth3: number): Tensor5D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R5>([rows, columns, depth, depth2, depth3]);\n  }\n\n  /**\n   * Casts a `tf.Tensor` to a specified dtype.\n   *\n   * @param dtype Data-type to cast the tensor to.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  asType<T extends this>(this: T, dtype: DataType): T {\n    this.throwIfDisposed();\n    return opHandler.cast(this, dtype);\n  }\n\n  get rank(): number {\n    return this.shape.length;\n  }\n\n  /**\n   * Returns a promise of `tf.TensorBuffer` that holds the underlying data.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async buffer<D extends DataType = 'float32'>(): Promise<TensorBuffer<R, D>> {\n    const vals = await this.data<D>();\n    return opHandler.buffer(this.shape, this.dtype as D, vals);\n  }\n\n  /** Returns a `tf.TensorBuffer` that holds the underlying data. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  bufferSync<D extends DataType = 'float32'>(): TensorBuffer<R, D> {\n    return opHandler.buffer(this.shape, this.dtype as D, this.dataSync());\n  }\n\n  /**\n   * Returns the tensor data as a nested array. The transfer of data is done\n   * asynchronously.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async array(): Promise<ArrayMap[R]> {\n    const vals = await this.data();\n    return toNestedArray(this.shape, vals) as ArrayMap[R];\n  }\n\n  /**\n   * Returns the tensor data as a nested array. The transfer of data is done\n   * synchronously.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  arraySync(): ArrayMap[R] {\n    return toNestedArray(this.shape, this.dataSync()) as ArrayMap[R];\n  }\n\n  /**\n   * Asynchronously downloads the values from the `tf.Tensor`. Returns a\n   * promise of `TypedArray` that resolves when the computation has finished.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]> {\n    this.throwIfDisposed();\n    const data = trackerFn().read(this.dataId);\n    if (this.dtype === 'string') {\n      const bytes = await data as Uint8Array[];\n      try {\n        return bytes.map(b => util.decodeString(b)) as DataTypeMap[D];\n      } catch {\n        throw new Error(\n            'Failed to decode the string bytes into utf-8. ' +\n            'To get the original bytes, call tensor.bytes().');\n      }\n    }\n    return data as Promise<DataTypeMap[D]>;\n  }\n\n  /**\n   * Synchronously downloads the values from the `tf.Tensor`. This blocks the\n   * UI thread until the values are ready, which can cause performance issues.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  dataSync<D extends DataType = NumericDataType>(): DataTypeMap[D] {\n    this.throwIfDisposed();\n    const data = trackerFn().readSync(this.dataId);\n    if (this.dtype === 'string') {\n      try {\n        return (data as Uint8Array[]).map(b => util.decodeString(b)) as\n            DataTypeMap[D];\n      } catch {\n        throw new Error(\n            'Failed to decode the string bytes into utf-8. ' +\n            'To get the original bytes, call tensor.bytes().');\n      }\n    }\n    return data as DataTypeMap[D];\n  }\n\n  /** Returns the underlying bytes of the tensor's data. */\n  async bytes(): Promise<Uint8Array[]|Uint8Array> {\n    this.throwIfDisposed();\n    const data = await trackerFn().read(this.dataId);\n    if (this.dtype === 'string') {\n      return data as Uint8Array[];\n    } else {\n      return new Uint8Array((data as TypedArray).buffer);\n    }\n  }\n\n  /**\n   * Disposes `tf.Tensor` from memory.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  dispose(): void {\n    if (this.isDisposed) {\n      return;\n    }\n    trackerFn().disposeTensor(this);\n    this.isDisposedInternal = true;\n  }\n\n  protected isDisposedInternal = false;\n  get isDisposed(): boolean {\n    return this.isDisposedInternal;\n  }\n\n  private throwIfDisposed() {\n    if (this.isDisposed) {\n      throw new Error(`Tensor is disposed.`);\n    }\n  }\n\n  /** Casts the array to type `float32` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toFloat<T extends this>(this: T): T {\n    return this.asType('float32');\n  }\n\n  /** Casts the array to type `int32` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toInt() {\n    return this.asType('int32');\n  }\n\n  /** Casts the array to type `bool` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toBool() {\n    return this.asType('bool');\n  }\n\n  /**\n   * Prints the `tf.Tensor`. See `tf.print` for details.\n   *\n   * @param verbose Whether to print verbose information about the tensor,\n   *    including dtype and size.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  print(verbose = false): void {\n    return opHandler.print(this, verbose);\n  }\n\n  /**\n   * Reshapes the tensor into the provided shape.\n   * See `tf.reshape` for more details.\n   *\n   * @param newShape An array of integers defining the output tensor shape.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  reshape<R2 extends Rank>(newShape: ShapeMap[R2]): Tensor<R2> {\n    this.throwIfDisposed();\n    return opHandler.reshape(this, newShape);\n  }\n\n  /**\n   * Reshapes the tensor into the shape of the provided tensor.\n   *\n   * @param x The tensor of required shape.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  reshapeAs<T extends Tensor>(x: T): T {\n    this.throwIfDisposed();\n    return this.reshape(x.shape) as T;\n  }\n\n  /**\n   * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension\n   * into the tensor's shape. See `tf.expandDims` for details.\n   *\n   * @param axis The dimension index at which to insert shape of 1. Defaults to\n   *     0 (the first dimension).\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  expandDims<R2 extends Rank>(axis = 0): Tensor<R2> {\n    return opHandler.expandDims(this, axis);\n  }\n\n  /**\n   * Returns the cumulative sum of the `tf.Tensor` along `axis`.\n   *\n   * @param axis The axis along which to sum. Optional. Defaults to 0.\n   * @param exclusive Whether to perform exclusive cumulative sum. Defaults to\n   *    false. If set to true then the sum of each tensor entry does not\n   * include its own value, but only the values previous to it along the\n   * specified axis.\n   * @param reverse Whether to sum in the opposite direction. Defaults to\n   *    false.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  cumsum<T extends Tensor>(axis = 0, exclusive = false, reverse = false): T {\n    return opHandler.cumsum(this, axis, exclusive, reverse);\n  }\n\n  /**\n   * Returns a `tf.Tensor` with dimensions of size 1 removed from the shape.\n   * See `tf.squeeze` for more details.\n   *\n   * @param axis A list of numbers. If specified, only squeezes the\n   *    dimensions listed. The dimension index starts at 0. It is an error to\n   *    squeeze a dimension that is not 1.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  squeeze<T extends Tensor>(axis?: number[]): T {\n    this.throwIfDisposed();\n    return opHandler.squeeze(this, axis);\n  }\n\n  /** Returns a copy of the tensor. See `tf.clone` for details. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  clone<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.clone(this);\n  }\n\n  oneHot(this: Tensor, depth: number, onValue?: number, offValue?: number):\n      Tensor {\n    this.throwIfDisposed();\n    return opHandler.oneHot(this, depth, onValue, offValue);\n  }\n\n  /**\n   * Returns a human-readable description of the tensor. Useful for logging.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toString(verbose = false): string {\n    const vals = this.dataSync();\n    return tensorToString(vals, this.shape, this.dtype, verbose);\n  }\n\n  // Below is chain API that is not exposed to docs to avoid repetition. To\n  // expose a method, move it above this comment and add @doc and jsdoc.\n\n  tile<T extends this>(this: T, reps: number[]): T {\n    this.throwIfDisposed();\n    return opHandler.tile(this, reps);\n  }\n\n  gather<T extends this>(this: T, indices: Tensor|TensorLike, axis = 0): T {\n    this.throwIfDisposed();\n    return opHandler.gather(this, indices, axis);\n  }\n\n  matMul<T extends Tensor>(\n      this: T, b: T|TensorLike, transposeA = false, transposeB = false): T {\n    this.throwIfDisposed();\n    return opHandler.matMul(this, b, transposeA, transposeB);\n  }\n  dot(b: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.dot(this, b);\n  }\n  norm(\n      ord: number|'euclidean'|'fro' = 'euclidean', axis: number|number[] = null,\n      keepDims = false): Tensor {\n    this.throwIfDisposed();\n    return opHandler.norm(this, ord, axis, keepDims);\n  }\n  slice<T extends Tensor<R>>(\n      this: T, begin: number|number[], size?: number|number[]): T {\n    this.throwIfDisposed();\n    return opHandler.slice(this, begin, size);\n  }\n  reverse<T extends Tensor>(this: T, axis?: number|number[]): T {\n    this.throwIfDisposed();\n    return opHandler.reverse(this, axis);\n  }\n  concat<T extends Tensor>(this: T, x: T|Array<T|TensorLike>, axis = 0): T {\n    this.throwIfDisposed();\n    if (x instanceof Tensor) {\n      x = [x];\n    }\n    return opHandler.concat([this, ...x], axis);\n  }\n  split<T extends Tensor>(this: T, numOrSizeSplits: number[]|number, axis = 0):\n      T[] {\n    this.throwIfDisposed();\n    return opHandler.split(this, numOrSizeSplits, axis);\n  }\n  stack(x: Tensor, axis = 0): Tensor {\n    return opHandler.stack([this, x], axis);\n  }\n  unstack(axis = 0): Tensor[] {\n    return opHandler.unstack(this, axis);\n  }\n  pad<T extends Tensor>(\n      this: T, paddings: Array<[number, number]>, constantValue = 0): T {\n    return opHandler.pad(this, paddings, constantValue);\n  }\n  /**\n   * @deprecated Use `tf.batchNorm` instead, and note the positional argument\n   *     change of scale, offset, and varianceEpsilon.\n   */\n  batchNormalization(\n      mean: Tensor<R>|Tensor1D|TensorLike,\n      variance: Tensor<R>|Tensor1D|TensorLike, varianceEpsilon = .001,\n      scale?: Tensor<R>|Tensor1D|TensorLike,\n      offset?: Tensor<R>|Tensor1D|TensorLike): Tensor<R> {\n    deprecationWarningFn(\n        'tf.batchNormalization() is going away. ' +\n        'Use tf.batchNorm() instead, and note the positional argument change ' +\n        'of scale, offset, and varianceEpsilon');\n    return this.batchNorm(mean, variance, offset, scale, varianceEpsilon);\n  }\n\n  batchNorm(\n      mean: Tensor<R>|Tensor1D|TensorLike,\n      variance: Tensor<R>|Tensor1D|TensorLike,\n      offset?: Tensor<R>|Tensor1D|TensorLike,\n      scale?: Tensor<R>|Tensor1D|TensorLike,\n      varianceEpsilon = .001,\n      ): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.batchNorm(\n        this, mean, variance, offset, scale, varianceEpsilon);\n  }\n  // Reduction ops.\n  all<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.all(this, axis, keepDims);\n  }\n  any<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.any(this, axis, keepDims);\n  }\n  logSumExp<T extends Tensor>(axis: number|number[] = null, keepDims = false):\n      T {\n    this.throwIfDisposed();\n    return opHandler.logSumExp(this, axis, keepDims);\n  }\n  sum<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.sum(this, axis, keepDims);\n  }\n  prod<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.prod(this, axis, keepDims);\n  }\n  mean<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.mean(this, axis, keepDims);\n  }\n  min<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.min(this, axis, keepDims);\n  }\n  max<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.max(this, axis, keepDims);\n  }\n  argMin<T extends Tensor>(axis: number = null): T {\n    this.throwIfDisposed();\n    return opHandler.argMin(this, axis);\n  }\n  argMax<T extends Tensor>(axis: number = null): T {\n    this.throwIfDisposed();\n    return opHandler.argMax(this, axis);\n  }\n\n  // Transformations\n  cast<T extends this>(dtype: DataType): T {\n    this.throwIfDisposed();\n    return opHandler.cast(this as T, dtype);\n  }\n\n  // Binary ops.\n\n  add<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.add(this, x);\n  }\n  addStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.addStrict(this, x);\n  }\n  atan2<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.atan2(this, x);\n  }\n  sub<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.sub(this, x);\n  }\n  subStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.subStrict(this, x);\n  }\n  pow<T extends Tensor>(this: T, exp: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.pow(this, exp);\n  }\n  powStrict(exp: Tensor|TensorLike): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.powStrict(this, exp);\n  }\n  mul<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mul(this, x);\n  }\n  mulStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mulStrict(this, x);\n  }\n  div<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.div(this, x);\n  }\n  divNoNan<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.divNoNan(this, x);\n  }\n  floorDiv<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.floorDiv(this, x);\n  }\n  divStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.divStrict(this, x);\n  }\n  minimum<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.minimum(this, x);\n  }\n  minimumStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.minimumStrict(this, x);\n  }\n  maximum<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.maximum(this, x);\n  }\n  maximumStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.maximumStrict(this, x);\n  }\n  mod<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mod(this, x);\n  }\n  modStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.modStrict(this, x);\n  }\n  squaredDifference<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.squaredDifference(this, x);\n  }\n  squaredDifferenceStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.squaredDifferenceStrict(this, x);\n  }\n  transpose<T extends Tensor>(this: T, perm?: number[]): T {\n    this.throwIfDisposed();\n    return opHandler.transpose(this, perm);\n  }\n\n  // Compare ops.\n\n  notEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.notEqual(this, x);\n  }\n  notEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.notEqualStrict(this, x);\n  }\n  less<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.less(this, x);\n  }\n  lessStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessStrict(this, x);\n  }\n  equal<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.equal(this, x);\n  }\n  equalStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.equalStrict(this, x);\n  }\n  lessEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessEqual(this, x);\n  }\n  lessEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessEqualStrict(this, x);\n  }\n  greater<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greater(this, x);\n  }\n  greaterStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterStrict(this, x);\n  }\n  greaterEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterEqual(this, x);\n  }\n  greaterEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterEqualStrict(this, x);\n  }\n\n  // Compare ops.\n  logicalAnd(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalAnd(this, x);\n  }\n  logicalOr(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalOr(this, x);\n  }\n  logicalNot<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.logicalNot(this);\n  }\n  logicalXor(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalXor(this, x);\n  }\n  where(condition: Tensor|TensorLike, x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.where(condition, this, x);\n  }\n\n  // Unary ops.\n  neg<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.neg(this);\n  }\n  ceil<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.ceil(this);\n  }\n  floor<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.floor(this);\n  }\n  sign<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sign(this);\n  }\n  isNaN<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isNaN(this);\n  }\n  isInf<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isInf(this);\n  }\n  isFinite<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isFinite(this);\n  }\n  exp<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.exp(this);\n  }\n  expm1<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.expm1(this);\n  }\n  log<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.log(this);\n  }\n  log1p<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.log1p(this);\n  }\n  sqrt<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sqrt(this);\n  }\n  rsqrt<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.rsqrt(this);\n  }\n  square<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.square(this);\n  }\n  reciprocal<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.reciprocal(this);\n  }\n  abs<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.abs(this);\n  }\n  clipByValue(min: number, max: number): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.clipByValue(this, min, max);\n  }\n  relu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.relu(this);\n  }\n  relu6<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.relu6(this);\n  }\n  elu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.elu(this);\n  }\n  selu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.selu(this);\n  }\n  leakyRelu(alpha = 0.2): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.leakyRelu(this, alpha);\n  }\n  prelu(alpha: Tensor<R>|TensorLike): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.prelu(this, alpha);\n  }\n  sigmoid<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sigmoid(this);\n  }\n  logSigmoid<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.logSigmoid(this);\n  }\n  softplus<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.softplus(this);\n  }\n  zerosLike<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.zerosLike(this);\n  }\n  onesLike<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.onesLike(this);\n  }\n  sin<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sin(this);\n  }\n  cos<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.cos(this);\n  }\n  tan<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.tan(this);\n  }\n  asin<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.asin(this);\n  }\n  acos<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.acos(this);\n  }\n  atan<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.atan(this);\n  }\n  sinh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sinh(this);\n  }\n  cosh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.cosh(this);\n  }\n  tanh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.tanh(this);\n  }\n  asinh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.asinh(this);\n  }\n  acosh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.acosh(this);\n  }\n  atanh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.atanh(this);\n  }\n  erf<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.erf(this);\n  }\n  round<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.round(this);\n  }\n  step<T extends Tensor>(this: T, alpha = 0.0): T {\n    this.throwIfDisposed();\n    return opHandler.step(this, alpha);\n  }\n  softmax<T extends this>(this: T, dim = -1): T {\n    this.throwIfDisposed();\n    return opHandler.softmax(this, dim);\n  }\n  logSoftmax<T extends this>(this: T, axis = -1): T {\n    this.throwIfDisposed();\n    return opHandler.logSoftmax(this, axis);\n  }\n\n  // Image ops.\n  resizeBilinear<T extends Tensor3D|Tensor4D>(\n      this: T, newShape2D: [number, number], alignCorners = false): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.image.resizeBilinear(this, newShape2D, alignCorners);\n  }\n\n  resizeNearestNeighbor<T extends Tensor3D|Tensor4D>(\n      this: T, newShape2D: [number, number], alignCorners = false): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.image.resizeNearestNeighbor(\n        this, newShape2D, alignCorners);\n  }\n\n  // Convolutions.\n  conv1d<T extends Tensor2D|Tensor3D>(\n      this: T, filter: Tensor3D|TensorLike3D, stride: number,\n      pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW' = 'NWC', dilation = 1,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv1d(\n        this, filter, stride, pad, dataFormat, dilation, dimRoundingMode);\n  }\n  conv2d<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n      dilations: [number, number]|number = [1, 1],\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv2d(\n        this, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n  }\n  conv2dTranspose<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D,\n      outputShape: [number, number, number, number]|[number, number, number],\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv2dTranspose(\n        this, filter, outputShape, strides, pad, dimRoundingMode);\n  }\n  depthwiseConv2D<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n      dilations: [number, number]|number = [1, 1],\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.depthwiseConv2d(\n        this, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n  }\n\n  separableConv2d<T extends Tensor3D|Tensor4D>(\n      this: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike4D,\n      pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n      pad: 'valid'|'same', dilation: [number, number]|number = [1, 1],\n      dataFormat: 'NHWC'|'NCHW' = 'NHWC'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.separableConv2d(\n        this, depthwiseFilter, pointwiseFilter, strides, pad, dilation,\n        dataFormat);\n  }\n\n  // Pooling.\n  avgPool<T extends Tensor3D|Tensor4D>(\n      this: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.avgPool(this, filterSize, strides, pad, dimRoundingMode);\n  }\n  maxPool<T extends Tensor3D|Tensor4D>(\n      this: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.maxPool(this, filterSize, strides, pad, dimRoundingMode);\n  }\n  localResponseNormalization<T extends Tensor3D|Tensor4D>(\n      this: T, radius = 5, bias = 1, alpha = 1, beta = 0.5): T {\n    return opHandler.localResponseNormalization(\n        this, radius, bias, alpha, beta);\n  }\n  pool<T extends Tensor3D|Tensor4D>(\n      this: T, windowShape: [number, number]|number, poolingType: 'max'|'avg',\n      padding: 'valid'|'same'|number, dilationRate?: [number, number]|number,\n      strides?: [number, number]|number): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.pool(\n        this, windowShape, poolingType, padding, dilationRate, strides);\n  }\n\n  variable(trainable = true, name?: string, dtype?: DataType): Variable<R> {\n    this.throwIfDisposed();\n    return trackerFn().makeVariable(this, trainable, name, dtype) as\n        Variable<R>;\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      this: T, segmentIds: Tensor1D|TensorLike1D, numSegments: number): T {\n    this.throwIfDisposed();\n    return opHandler.unsortedSegmentSum(this, segmentIds, numSegments);\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      this: T, blockShape: number[], crops: number[][]): T {\n    this.throwIfDisposed();\n    return opHandler.batchToSpaceND(this, blockShape, crops);\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      this: T, blockShape: number[], paddings: number[][]): T {\n    this.throwIfDisposed();\n    return opHandler.spaceToBatchND(this, blockShape, paddings);\n  }\n\n  topk<T extends Tensor>(this: T, k = 1, sorted = true):\n      {values: T, indices: T} {\n    this.throwIfDisposed();\n    return opHandler.topk(this, k, sorted);\n  }\n\n  stridedSlice(\n      this: Tensor, begin: number[], end: number[], strides: number[],\n      beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0,\n      shrinkAxisMask = 0): Tensor {\n    this.throwIfDisposed();\n    return opHandler.stridedSlice(\n        this, begin, end, strides, beginMask, endMask, ellipsisMask,\n        newAxisMask, shrinkAxisMask);\n  }\n\n  depthToSpace(this: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    this.throwIfDisposed();\n    return opHandler.depthToSpace(this, blockSize, dataFormat);\n  }\n\n  fft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.fft(this);\n  }\n\n  ifft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.ifft(this);\n  }\n\n  rfft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.rfft(this);\n  }\n\n  irfft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.irfft(this);\n  }\n}\nObject.defineProperty(Tensor, Symbol.hasInstance, {\n  value: (instance: Tensor) => {\n    return !!instance && instance.dataId != null && instance.shape != null &&\n        instance.dtype != null;\n  }\n});\n\nexport interface NumericTensor<R extends Rank = Rank> extends Tensor<R> {\n  dtype: NumericDataType;\n  dataSync<D extends DataType = NumericDataType>(): DataTypeMap[D];\n  data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]>;\n}\n\nexport interface StringTensor<R extends Rank = Rank> extends Tensor<R> {\n  dtype: 'string';\n  dataSync<D extends DataType = 'string'>(): DataTypeMap[D];\n  data<D extends DataType = 'string'>(): Promise<DataTypeMap[D]>;\n}\n\n/** @doclink Tensor */\nexport type Scalar = Tensor<Rank.R0>;\n/** @doclink Tensor */\nexport type Tensor1D = Tensor<Rank.R1>;\n/** @doclink Tensor */\nexport type Tensor2D = Tensor<Rank.R2>;\n/** @doclink Tensor */\nexport type Tensor3D = Tensor<Rank.R3>;\n/** @doclink Tensor */\nexport type Tensor4D = Tensor<Rank.R4>;\n/** @doclink Tensor */\nexport type Tensor5D = Tensor<Rank.R5>;\n/** @doclink Tensor */\nexport type Tensor6D = Tensor<Rank.R6>;\n\n/**\n * A mutable `tf.Tensor`, useful for persisting state, e.g. for training.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class Variable<R extends Rank = Rank> extends Tensor<R> {\n  name: string;\n\n  constructor(\n      initialValue: Tensor<R>, public trainable: boolean, name: string,\n      tensorId: number) {\n    super(\n        initialValue.shape, initialValue.dtype, initialValue.dataId, tensorId);\n    this.name = name;\n  }\n\n  /**\n   * Assign a new `tf.Tensor` to this variable. The new `tf.Tensor` must have\n   * the same shape and dtype as the old `tf.Tensor`.\n   *\n   * @param newValue New tensor to be assigned to this variable.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  assign(newValue: Tensor<R>): void {\n    if (newValue.dtype !== this.dtype) {\n      throw new Error(\n          `dtype of the new value (${newValue.dtype}) and ` +\n          `previous value (${this.dtype}) must match`);\n    }\n    if (!util.arraysEqual(newValue.shape, this.shape)) {\n      throw new Error(\n          `shape of the new value (${newValue.shape}) and ` +\n          `previous value (${this.shape}) must match`);\n    }\n    trackerFn().disposeTensor(this);\n    this.dataId = newValue.dataId;\n    trackerFn().incRef(this, null /* backend */);\n  }\n\n  dispose(): void {\n    trackerFn().disposeVariable(this);\n    this.isDisposedInternal = true;\n  }\n}\n\nObject.defineProperty(Variable, Symbol.hasInstance, {\n  value: (instance: Variable) => {\n    return instance instanceof Tensor && instance.assign != null &&\n        instance.assign instanceof Function;\n  }\n});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Platform} from './platforms/platform';\n\n// Expects flags from URL in the format ?tfjsflags=FLAG1:1,FLAG2:true.\nconst TENSORFLOWJS_FLAGS_PREFIX = 'tfjsflags';\n\ntype FlagValue = number|boolean;\nexport type Flags = {\n  [featureName: string]: FlagValue\n};\nexport type FlagRegistryEntry = {\n  evaluationFn: () => FlagValue;\n  setHook?: (value: FlagValue) => void;\n};\n\n/**\n * The environment contains evaluated flags as well as the registered platform.\n * This is always used as a global singleton and can be retrieved with\n * `tf.env()`.\n */\n/** @doc {heading: 'Environment'} */\nexport class Environment {\n  private flags: Flags = {};\n  private flagRegistry: {[flagName: string]: FlagRegistryEntry} = {};\n\n  private urlFlags: Flags = {};\n\n  platformName: string;\n  platform: Platform;\n\n  // tslint:disable-next-line: no-any\n  constructor(public global: any) {\n    this.populateURLFlags();\n  }\n\n  setPlatform(platformName: string, platform: Platform) {\n    if (this.platform != null) {\n      console.warn(\n          `Platform ${this.platformName} has already been set. ` +\n          `Overwriting the platform with ${platform}.`);\n    }\n    this.platformName = platformName;\n    this.platform = platform;\n  }\n\n  registerFlag(\n      flagName: string, evaluationFn: () => FlagValue,\n      setHook?: (value: FlagValue) => void) {\n    this.flagRegistry[flagName] = {evaluationFn, setHook};\n\n    // Override the flag value from the URL. This has to happen here because the\n    // environment is initialized before flags get registered.\n    if (this.urlFlags[flagName] != null) {\n      const flagValue = this.urlFlags[flagName];\n      console.warn(\n          `Setting feature override from URL ${flagName}: ${flagValue}.`);\n      this.set(flagName, flagValue);\n    }\n  }\n\n  get(flagName: string): FlagValue {\n    if (flagName in this.flags) {\n      return this.flags[flagName];\n    }\n\n    this.flags[flagName] = this.evaluateFlag(flagName);\n\n    return this.flags[flagName];\n  }\n\n  getNumber(flagName: string): number {\n    return this.get(flagName) as number;\n  }\n\n  getBool(flagName: string): boolean {\n    return this.get(flagName) as boolean;\n  }\n\n  getFlags(): Flags {\n    return this.flags;\n  }\n  // For backwards compatibility.\n  get features(): Flags {\n    return this.flags;\n  }\n\n  set(flagName: string, value: FlagValue): void {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(\n          `Cannot set flag ${flagName} as it has not been registered.`);\n    }\n    this.flags[flagName] = value;\n    if (this.flagRegistry[flagName].setHook != null) {\n      this.flagRegistry[flagName].setHook(value);\n    }\n  }\n\n  private evaluateFlag(flagName: string): FlagValue {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(\n          `Cannot evaluate flag '${flagName}': no evaluation function found.`);\n    }\n    return this.flagRegistry[flagName].evaluationFn();\n  }\n\n  setFlags(flags: Flags) {\n    this.flags = Object.assign({}, flags);\n  }\n\n  reset() {\n    this.flags = {};\n    this.urlFlags = {};\n    this.populateURLFlags();\n  }\n\n  private populateURLFlags(): void {\n    if (typeof this.global === 'undefined' ||\n        typeof this.global.location === 'undefined' ||\n        typeof this.global.location.search === 'undefined') {\n      return;\n    }\n\n    const urlParams = getQueryParams(this.global.location.search);\n    if (TENSORFLOWJS_FLAGS_PREFIX in urlParams) {\n      const keyValues = urlParams[TENSORFLOWJS_FLAGS_PREFIX].split(',');\n      keyValues.forEach(keyValue => {\n        const [key, value] = keyValue.split(':') as [string, string];\n        this.urlFlags[key] = parseValue(key, value);\n      });\n    }\n  }\n}\n\nexport function getQueryParams(queryString: string): {[key: string]: string} {\n  const params = {};\n  queryString.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, (s, ...t) => {\n    decodeParam(params, t[0], t[1]);\n    return t.join('=');\n  });\n  return params;\n}\n\nfunction decodeParam(\n    params: {[key: string]: string}, name: string, value?: string) {\n  params[decodeURIComponent(name)] = decodeURIComponent(value || '');\n}\n\nfunction parseValue(flagName: string, value: string): FlagValue {\n  value = value.toLowerCase();\n  if (value === 'true' || value === 'false') {\n    return value === 'true';\n  } else if (`${+ value}` === value) {\n    return +value;\n  }\n  throw new Error(\n      `Could not parse value flag value ${value} for flag ${flagName}.`);\n}\n\n/**\n * Returns the current environment (a global singleton).\n *\n * The environment object contains the evaluated feature values as well as the\n * active platform.\n */\n/** @doc {heading: 'Environment'} */\nexport function env() {\n  return ENV;\n}\n\nexport let ENV: Environment = null;\nexport function setEnvironmentGlobal(environment: Environment) {\n  ENV = environment;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {DataType, RecursiveArray} from './types';\n\nconst kernelRegistry: Map<string, KernelConfig> = new Map();\nconst gradRegistry: Map<string, GradConfig> = new Map();\n\nexport type DataId = object;\n\ntype AttributeValue =\n    number|number[]|boolean|boolean[]|string|string[]|NamedAttrMap;\n\n/** These are extra non-tensor/primitive params passed to kernel functions. */\nexport type Attribute = AttributeValue|RecursiveArray<AttributeValue>;\n\n/** Specifies the code to run when executing a kernel. */\nexport type KernelFunc = (params: {\n  inputs: NamedTensorInfoMap,\n  backend: {},\n  attrs?: NamedAttrMap,\n}) => TensorInfo|TensorInfo[];\n\n/** The function to run when computing a gradient during backprop. */\nexport type GradFunc = (dy: Tensor|Tensor[], saved: Tensor[]) =>\n    ({[inputName: string]: () => Tensor});\n\n/** Function that gets called after the backend initializes. */\nexport type KernelSetupFunc = (backend: {}) => void;\n/** Function that gets called right before the backend is disposed. */\nexport type KernelDisposeFunc = KernelSetupFunc;\n\n/** Config object for registering a kernel in the global registry. */\nexport interface KernelConfig {\n  kernelName: string;\n  backendName: string;\n  kernelFunc: KernelFunc;\n  setupFunc?: KernelSetupFunc;\n  disposeFunc?: KernelDisposeFunc;\n}\n\n/** Config object for registering a gradient in the global registry. */\nexport interface GradConfig {\n  kernelName: string;\n  gradFunc: GradFunc;\n}\n\n/** Holds metadata for a given tensor. */\nexport interface TensorInfo {\n  dataId: DataId;\n  shape: number[];\n  dtype: DataType;\n}\n\nexport interface NamedTensorInfoMap {\n  [name: string]: TensorInfo;\n}\n\nexport interface NamedAttrMap {\n  [name: string]: Attribute;\n}\n\n/**\n * Returns the kernel function (code) associated with the provided names.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n */\nexport function getKernel(\n    kernelName: string, backendName: string): KernelConfig {\n  const key = makeKey(kernelName, backendName);\n  return kernelRegistry.get(key);\n}\n\n/**\n * Returns the registered gradient info associated with the provided kernel.\n * @param kernelName The official TF kernel name.\n */\nexport function getGradient(kernelName: string): GradConfig {\n  return gradRegistry.get(kernelName);\n}\n\nexport function getKernelsForBackend(backendName: string): KernelConfig[] {\n  const it = kernelRegistry.entries();\n  const result: KernelConfig[] = [];\n\n  while (true) {\n    const {done, value} = it.next();\n    if (done) {\n      break;\n    }\n    const [key, config] = value;\n    const [backend, ] = key.split('_');\n    if (backend === backendName) {\n      result.push(config);\n    }\n  }\n  return result;\n}\n\n/**\n * Registers the function (forward pass) for the kernel in a global registry.\n *\n * @param config A config object with the following properties:\n * - `kernelName` The official name of the kernel.\n * - `backendName` The official name of the backend.\n * - `kernelFunc` The function to run during the forward pass of the kernel.\n * - `setupFunc` Optional. Gets called once, after the backend initializes.\n * - `disposeFunc` Optional. Gets called once, right before the backend is\n * disposed.\n */\nexport function registerKernel(config: KernelConfig) {\n  const {kernelName, backendName} = config;\n  const key = makeKey(kernelName, backendName);\n  if (kernelRegistry.has(key)) {\n    throw new Error(\n        `The kernel '${kernelName}' for backend ` +\n        `'${backendName}' is already registered`);\n  }\n  kernelRegistry.set(key, config);\n}\n\n/**\n * Registers a gradient function for a given kernel in the global registry,\n * to be used during the back-propagation of that kernel.\n *\n * @param config An object with the following properties:\n * - `kernelName` The name of the kernel that the gradient function is for.\n * - `gradFunc` The function to run during back-propagation.\n */\nexport function registerGradient(config: GradConfig) {\n  const {kernelName} = config;\n  if (gradRegistry.has(kernelName)) {\n    console.warn(`Overriding the gradient for '${kernelName}'`);\n  }\n  gradRegistry.set(kernelName, config);\n}\n\n/**\n * Removes the kernel function from the registry.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n *\n */\nexport function unregisterKernel(\n    kernelName: string, backendName: string): void {\n  const key = makeKey(kernelName, backendName);\n  if (!kernelRegistry.has(key)) {\n    throw new Error(\n        `The kernel '${kernelName}' for backend ` +\n        `'${backendName}' is not registered`);\n  }\n  kernelRegistry.delete(key);\n}\n\n/** Removes the registered gradient from the global registry. */\nexport function unregisterGradient(kernelName: string): void {\n  if (!gradRegistry.has(kernelName)) {\n    throw new Error(\n        `The gradient '${kernelName}' for backend is not registered`);\n  }\n  gradRegistry.delete(kernelName);\n}\n\nfunction makeKey(kernelName: string, backendName: string) {\n  return `${backendName}_${kernelName}`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from './environment';\n\nimport {DataType, DataTypeMap, FlatVector, NumericDataType, RecursiveArray, TensorLike, TypedArray} from './types';\n\n/**\n * Shuffles the array in-place using Fisher-Yates algorithm.\n *\n * ```js\n * const a = [1, 2, 3, 4, 5];\n * tf.util.shuffle(a);\n * console.log(a);\n * ```\n *\n * @param array The array to shuffle in-place.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\n// tslint:disable-next-line:no-any\nexport function shuffle(array: any[]|Uint32Array|Int32Array|\n                        Float32Array): void {\n  let counter = array.length;\n  let temp = 0;\n  let index = 0;\n  // While there are elements in the array\n  while (counter > 0) {\n    // Pick a random index\n    index = (Math.random() * counter) | 0;\n    // Decrease counter by 1\n    counter--;\n    // And swap the last element with it\n    temp = array[counter];\n    array[counter] = array[index];\n    array[index] = temp;\n  }\n}\n\n/** Clamps a value to a specified range. */\nexport function clamp(min: number, x: number, max: number): number {\n  return Math.max(min, Math.min(x, max));\n}\n\nexport function nearestLargerEven(val: number): number {\n  return val % 2 === 0 ? val : val + 1;\n}\n\nexport function sum(arr: number[]): number {\n  let sum = 0;\n  for (let i = 0; i < arr.length; i++) {\n    sum += arr[i];\n  }\n  return sum;\n}\n\n/**\n * Returns a sample from a uniform [a, b) distribution.\n *\n * @param a The minimum support (inclusive).\n * @param b The maximum support (exclusive).\n * @return A pseudorandom number on the half-open interval [a,b).\n */\nexport function randUniform(a: number, b: number) {\n  const r = Math.random();\n  return (b * r) + (1 - r) * a;\n}\n\n/** Returns the squared Euclidean distance between two vectors. */\nexport function distSquared(a: FlatVector, b: FlatVector): number {\n  let result = 0;\n  for (let i = 0; i < a.length; i++) {\n    const diff = Number(a[i]) - Number(b[i]);\n    result += diff * diff;\n  }\n  return result;\n}\n\n/**\n * Asserts that the expression is true. Otherwise throws an error with the\n * provided message.\n *\n * ```js\n * const x = 2;\n * tf.util.assert(x === 2, 'x is not 2');\n * ```\n *\n * @param expr The expression to assert (as a boolean).\n * @param msg A function that returns the message to report when throwing an\n *     error. We use a function for performance reasons.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function assert(expr: boolean, msg: () => string) {\n  if (!expr) {\n    throw new Error(typeof msg === 'string' ? msg : msg());\n  }\n}\n\nexport function assertShapesMatch(\n    shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n  assert(\n      arraysEqual(shapeA, shapeB),\n      () => errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n}\n\nexport function assertNonNull(a: TensorLike): void {\n  assert(\n      a != null,\n      () => `The input to the tensor constructor must be a non-null value.`);\n}\n\n// NOTE: We explicitly type out what T extends instead of any so that\n// util.flatten on a nested array of number doesn't try to infer T as a\n// number[][], causing us to explicitly type util.flatten<number>().\n/**\n *  Flattens an arbitrarily nested array.\n *\n * ```js\n * const a = [[1, 2], [3, 4], [5, [6, [7]]]];\n * const flat = tf.util.flatten(a);\n * console.log(flat);\n * ```\n *\n *  @param arr The nested array to flatten.\n *  @param result The destination array which holds the elements.\n *  @param skipTypedArray If true, avoids flattening the typed arrays. Defaults\n *      to false.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function\nflatten<T extends number|boolean|string|Promise<number>|TypedArray>(\n    arr: T|RecursiveArray<T>, result: T[] = [], skipTypedArray = false): T[] {\n  if (result == null) {\n    result = [];\n  }\n  if (Array.isArray(arr) || isTypedArray(arr) && !skipTypedArray) {\n    for (let i = 0; i < arr.length; ++i) {\n      flatten(arr[i], result, skipTypedArray);\n    }\n  } else {\n    result.push(arr as T);\n  }\n  return result;\n}\n\n/**\n * Returns the size (number of elements) of the tensor given its shape.\n *\n * ```js\n * const shape = [3, 4, 2];\n * const size = tf.util.sizeFromShape(shape);\n * console.log(size);\n * ```\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function sizeFromShape(shape: number[]): number {\n  if (shape.length === 0) {\n    // Scalar.\n    return 1;\n  }\n  let size = shape[0];\n  for (let i = 1; i < shape.length; i++) {\n    size *= shape[i];\n  }\n  return size;\n}\n\nexport function isScalarShape(shape: number[]): boolean {\n  return shape.length === 0;\n}\n\nexport function arraysEqual(n1: FlatVector, n2: FlatVector) {\n  if (n1 === n2) {\n    return true;\n  }\n  if (n1 == null || n2 == null) {\n    return false;\n  }\n\n  if (n1.length !== n2.length) {\n    return false;\n  }\n  for (let i = 0; i < n1.length; i++) {\n    if (n1[i] !== n2[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function isInt(a: number): boolean {\n  return a % 1 === 0;\n}\n\nexport function tanh(x: number): number {\n  // tslint:disable-next-line:no-any\n  if ((Math as any).tanh != null) {\n    // tslint:disable-next-line:no-any\n    return (Math as any).tanh(x);\n  }\n  if (x === Infinity) {\n    return 1;\n  } else if (x === -Infinity) {\n    return -1;\n  } else {\n    const e2x = Math.exp(2 * x);\n    return (e2x - 1) / (e2x + 1);\n  }\n}\n\nexport function sizeToSquarishShape(size: number): [number, number] {\n  const width = Math.ceil(Math.sqrt(size));\n  return [width, Math.ceil(size / width)];\n}\n\n/**\n * Creates a new array with randomized indicies to a given quantity.\n *\n * ```js\n * const randomTen = tf.util.createShuffledIndices(10);\n * console.log(randomTen);\n * ```\n *\n * @param number Quantity of how many shuffled indicies to create.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function createShuffledIndices(n: number): Uint32Array {\n  const shuffledIndices = new Uint32Array(n);\n  for (let i = 0; i < n; ++i) {\n    shuffledIndices[i] = i;\n  }\n  shuffle(shuffledIndices);\n  return shuffledIndices;\n}\n\nexport function rightPad(a: string, size: number): string {\n  if (size <= a.length) {\n    return a;\n  }\n  return a + ' '.repeat(size - a.length);\n}\n\nexport function repeatedTry(\n    checkFn: () => boolean, delayFn = (counter: number) => 0,\n    maxCounter?: number): Promise<void> {\n  return new Promise<void>((resolve, reject) => {\n    let tryCount = 0;\n\n    const tryFn = () => {\n      if (checkFn()) {\n        resolve();\n        return;\n      }\n\n      tryCount++;\n\n      const nextBackoff = delayFn(tryCount);\n\n      if (maxCounter != null && tryCount >= maxCounter) {\n        reject();\n        return;\n      }\n      setTimeout(tryFn, nextBackoff);\n    };\n\n    tryFn();\n  });\n}\n\n/**\n * Given the full size of the array and a shape that may contain -1 as the\n * implicit dimension, returns the inferred shape where -1 is replaced.\n * E.g. For shape=[2, -1, 3] and size=24, it will return [2, 4, 3].\n *\n * @param shape The shape, which may contain -1 in some dimension.\n * @param size The full size (number of elements) of the array.\n * @return The inferred shape where -1 is replaced with the inferred size.\n */\nexport function inferFromImplicitShape(\n    shape: number[], size: number): number[] {\n  let shapeProd = 1;\n  let implicitIdx = -1;\n\n  for (let i = 0; i < shape.length; ++i) {\n    if (shape[i] >= 0) {\n      shapeProd *= shape[i];\n    } else if (shape[i] === -1) {\n      if (implicitIdx !== -1) {\n        throw Error(\n            `Shapes can only have 1 implicit size. ` +\n            `Found -1 at dim ${implicitIdx} and dim ${i}`);\n      }\n      implicitIdx = i;\n    } else if (shape[i] < 0) {\n      throw Error(`Shapes can not be < 0. Found ${shape[i]} at dim ${i}`);\n    }\n  }\n\n  if (implicitIdx === -1) {\n    if (size > 0 && size !== shapeProd) {\n      throw Error(`Size(${size}) must match the product of shape ${shape}`);\n    }\n    return shape;\n  }\n\n  if (shapeProd === 0) {\n    throw Error(\n        `Cannot infer the missing size in [${shape}] when ` +\n        `there are 0 elements`);\n  }\n  if (size % shapeProd !== 0) {\n    throw Error(\n        `The implicit shape can't be a fractional number. ` +\n        `Got ${size} / ${shapeProd}`);\n  }\n\n  const newShape = shape.slice();\n  newShape[implicitIdx] = size / shapeProd;\n  return newShape;\n}\n\nexport function parseAxisParam(\n    axis: number|number[], shape: number[]): number[] {\n  const rank = shape.length;\n\n  // Normalize input\n  axis = axis == null ? shape.map((s, i) => i) : [].concat(axis);\n\n  // Check for valid range\n  assert(\n      axis.every(ax => ax >= -rank && ax < rank),\n      () =>\n          `All values in axis param must be in range [-${rank}, ${rank}) but ` +\n          `got axis ${axis}`);\n\n  // Check for only integers\n  assert(\n      axis.every(ax => isInt(ax)),\n      () => `All values in axis param must be integers but ` +\n          `got axis ${axis}`);\n\n  // Handle negative axis.\n  return axis.map(a => a < 0 ? rank + a : a);\n}\n\n/** Reduces the shape by removing all dimensions of shape 1. */\nexport function squeezeShape(shape: number[], axis?: number[]):\n    {newShape: number[], keptDims: number[]} {\n  const newShape: number[] = [];\n  const keptDims: number[] = [];\n  const isEmptyArray = axis != null && Array.isArray(axis) && axis.length === 0;\n  const axes = (axis == null || isEmptyArray) ?\n      null :\n      parseAxisParam(axis, shape).sort();\n  let j = 0;\n  for (let i = 0; i < shape.length; ++i) {\n    if (axes != null) {\n      if (axes[j] === i && shape[i] !== 1) {\n        throw new Error(\n            `Can't squeeze axis ${i} since its dim '${shape[i]}' is not 1`);\n      }\n      if ((axes[j] == null || axes[j] > i) && shape[i] === 1) {\n        newShape.push(shape[i]);\n        keptDims.push(i);\n      }\n      if (axes[j] <= i) {\n        j++;\n      }\n    }\n    if (shape[i] !== 1) {\n      newShape.push(shape[i]);\n      keptDims.push(i);\n    }\n  }\n  return {newShape, keptDims};\n}\n\nexport function getTypedArrayFromDType<D extends NumericDataType>(\n    dtype: D, size: number): DataTypeMap[D] {\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values as DataTypeMap[D];\n}\n\nexport function getArrayFromDType<D extends DataType>(\n    dtype: D, size: number): DataTypeMap[D] {\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else if (dtype === 'string') {\n    values = new Array<'string'>(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values as DataTypeMap[D];\n}\n\nexport function checkConversionForErrors<D extends DataType>(\n    vals: DataTypeMap[D]|number[], dtype: D): void {\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      throw Error(`A tensor of type ${dtype} being uploaded contains ${num}.`);\n    }\n  }\n}\n\n/** Returns true if the dtype is valid. */\nexport function isValidDtype(dtype: DataType): boolean {\n  return dtype === 'bool' || dtype === 'complex64' || dtype === 'float32' ||\n      dtype === 'int32' || dtype === 'string';\n}\n\n/**\n * Returns true if the new type can't encode the old type without loss of\n * precision.\n */\nexport function hasEncodingLoss(oldType: DataType, newType: DataType): boolean {\n  if (newType === 'complex64') {\n    return false;\n  }\n  if (newType === 'float32' && oldType !== 'complex64') {\n    return false;\n  }\n  if (newType === 'int32' && oldType !== 'float32' && oldType !== 'complex64') {\n    return false;\n  }\n  if (newType === 'bool' && oldType === 'bool') {\n    return false;\n  }\n  return true;\n}\n\nexport function isTypedArray(a: {}): a is Float32Array|Int32Array|Uint8Array {\n  return a instanceof Float32Array || a instanceof Int32Array ||\n      a instanceof Uint8Array;\n}\n\nexport function bytesPerElement(dtype: DataType): number {\n  if (dtype === 'float32' || dtype === 'int32') {\n    return 4;\n  } else if (dtype === 'complex64') {\n    return 8;\n  } else if (dtype === 'bool') {\n    return 1;\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\n\n/**\n * Returns the approximate number of bytes allocated in the string array - 2\n * bytes per character. Computing the exact bytes for a native string in JS is\n * not possible since it depends on the encoding of the html page that serves\n * the website.\n */\nexport function bytesFromStringArray(arr: Uint8Array[]): number {\n  if (arr == null) {\n    return 0;\n  }\n  let bytes = 0;\n  arr.forEach(x => bytes += x.length);\n  return bytes;\n}\n\n/** Returns true if the value is a string. */\nexport function isString(value: {}): value is string {\n  return typeof value === 'string' || value instanceof String;\n}\n\nexport function isBoolean(value: {}): boolean {\n  return typeof value === 'boolean';\n}\n\nexport function isNumber(value: {}): boolean {\n  return typeof value === 'number';\n}\n\nexport function inferDtype(values: TensorLike): DataType {\n  if (Array.isArray(values)) {\n    return inferDtype(values[0]);\n  }\n  if (values instanceof Float32Array) {\n    return 'float32';\n  } else if (values instanceof Int32Array || values instanceof Uint8Array) {\n    return 'int32';\n  } else if (isNumber(values)) {\n    return 'float32';\n  } else if (isString(values)) {\n    return 'string';\n  } else if (isBoolean(values)) {\n    return 'bool';\n  }\n  return 'float32';\n}\n\nexport function isFunction(f: Function) {\n  return !!(f && f.constructor && f.call && f.apply);\n}\n\nexport function nearestDivisor(size: number, start: number): number {\n  for (let i = start; i < size; ++i) {\n    if (size % i === 0) {\n      return i;\n    }\n  }\n  return size;\n}\n\nexport function computeStrides(shape: number[]): number[] {\n  const rank = shape.length;\n  if (rank < 2) {\n    return [];\n  }\n\n  // Last dimension has implicit stride of 1, thus having D-1 (instead of D)\n  // strides.\n  const strides = new Array(rank - 1);\n  strides[rank - 2] = shape[rank - 1];\n  for (let i = rank - 3; i >= 0; --i) {\n    strides[i] = strides[i + 1] * shape[i + 1];\n  }\n  return strides;\n}\n\nexport function toTypedArray(\n    a: TensorLike, dtype: DataType, debugMode: boolean): TypedArray {\n  if (dtype === 'string') {\n    throw new Error('Cannot convert a string[] to a TypedArray');\n  }\n  if (Array.isArray(a)) {\n    a = flatten(a);\n  }\n  if (debugMode) {\n    checkConversionForErrors(a as number[], dtype);\n  }\n  if (noConversionNeeded(a, dtype)) {\n    return a as TypedArray;\n  }\n  if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n    return new Float32Array(a as number[]);\n  } else if (dtype === 'int32') {\n    return new Int32Array(a as number[]);\n  } else if (dtype === 'bool') {\n    const bool = new Uint8Array((a as number[]).length);\n    for (let i = 0; i < bool.length; ++i) {\n      if (Math.round((a as number[])[i]) !== 0) {\n        bool[i] = 1;\n      }\n    }\n    return bool;\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\n\nfunction createNestedArray(offset: number, shape: number[], a: TypedArray) {\n  const ret = new Array();\n  if (shape.length === 1) {\n    const d = shape[0];\n    for (let i = 0; i < d; i++) {\n      ret[i] = a[offset + i];\n    }\n  } else {\n    const d = shape[0];\n    const rest = shape.slice(1);\n    const len = rest.reduce((acc, c) => acc * c);\n    for (let i = 0; i < d; i++) {\n      ret[i] = createNestedArray(offset + i * len, rest, a);\n    }\n  }\n  return ret;\n}\n\n// Provide a nested array of TypedArray in given shape.\nexport function toNestedArray(shape: number[], a: TypedArray) {\n  if (shape.length === 0) {\n    // Scalar type should return a single number.\n    return a[0];\n  }\n  const size = shape.reduce((acc, c) => acc * c);\n  if (size === 0) {\n    // A tensor with shape zero should be turned into empty list.\n    return [];\n  }\n  if (size !== a.length) {\n    throw new Error(`[${shape}] does not match the input size.`);\n  }\n\n  return createNestedArray(0, shape, a);\n}\n\nfunction noConversionNeeded(a: TensorLike, dtype: DataType): boolean {\n  return (a instanceof Float32Array && dtype === 'float32') ||\n      (a instanceof Int32Array && dtype === 'int32') ||\n      (a instanceof Uint8Array && dtype === 'bool');\n}\n\nexport function makeOnesTypedArray<D extends DataType>(\n    size: number, dtype: D): DataTypeMap[D] {\n  const array = makeZerosTypedArray(size, dtype);\n  for (let i = 0; i < array.length; i++) {\n    array[i] = 1;\n  }\n  return array;\n}\n\nexport function makeZerosTypedArray<D extends DataType>(\n    size: number, dtype: D): DataTypeMap[D] {\n  if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n    return new Float32Array(size) as DataTypeMap[D];\n  } else if (dtype === 'int32') {\n    return new Int32Array(size) as DataTypeMap[D];\n  } else if (dtype === 'bool') {\n    return new Uint8Array(size) as DataTypeMap[D];\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\n\n/**\n * Returns the current high-resolution time in milliseconds relative to an\n * arbitrary time in the past. It works across different platforms (node.js,\n * browsers).\n *\n * ```js\n * console.log(tf.util.now());\n * ```\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function now(): number {\n  return env().platform.now();\n}\n\nexport function assertNonNegativeIntegerDimensions(shape: number[]) {\n  shape.forEach(dimSize => {\n    assert(\n        Number.isInteger(dimSize) && dimSize >= 0,\n        () =>\n            `Tensor must have a shape comprised of positive integers but got ` +\n            `shape [${shape}].`);\n  });\n}\n\n/**\n * Returns a platform-specific implementation of\n * [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n *\n * If `fetch` is defined on the global object (`window`, `process`, etc.),\n * `tf.util.fetch` returns that function.\n *\n * If not, `tf.util.fetch` returns a platform-specific solution.\n *\n * ```js\n * const resource = await tf.util.fetch('https://unpkg.com/@tensorflow/tfjs');\n * // handle response\n * ```\n */\n/** @doc {heading: 'Util'} */\nexport function fetch(\n    path: string, requestInits?: RequestInit): Promise<Response> {\n  return env().platform.fetch(path, requestInits);\n}\n\n/**\n * Encodes the provided string into bytes using the provided encoding scheme.\n *\n * @param s The string to encode.\n * @param encoding The encoding scheme. Defaults to utf-8.\n *\n */\n/** @doc {heading: 'Util'} */\nexport function encodeString(s: string, encoding = 'utf-8'): Uint8Array {\n  encoding = encoding || 'utf-8';\n  return env().platform.encode(s, encoding);\n}\n\n/**\n * Decodes the provided bytes into a string using the provided encoding scheme.\n * @param bytes The bytes to decode.\n *\n * @param encoding The encoding scheme. Defaults to utf-8.\n */\n/** @doc {heading: 'Util'} */\nexport function decodeString(bytes: Uint8Array, encoding = 'utf-8'): string {\n  encoding = encoding || 'utf-8';\n  return env().platform.decode(bytes, encoding);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimer} from './backends/backend';\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {DataType, DataTypeMap, TypedArray} from './types';\nimport * as util from './util';\n\nexport class Profiler {\n  constructor(private backendTimer: BackendTimer, private logger?: Logger) {\n    if (logger == null) {\n      this.logger = new Logger();\n    }\n  }\n\n  profileKernel(kernelName: string, inputs: NamedTensorMap, f: () => Tensor[]):\n      Tensor[] {\n    let outputs: Tensor[];\n    const holdResultWrapperFn = () => {\n      outputs = f();\n    };\n    const timer = this.backendTimer.time(holdResultWrapperFn);\n\n    outputs.forEach(r => {\n      // Dangling promise here because we don't want to propagate up\n      // asynchronicity.\n      r.data().then(vals => {\n        checkComputationForErrors(vals, r.dtype, kernelName);\n\n        timer.then(timing => {\n          let extraInfo = '';\n          if (timing.getExtraProfileInfo != null) {\n            extraInfo = timing.getExtraProfileInfo();\n          }\n\n          this.logger.logKernelProfile(\n              kernelName, r, vals, timing.kernelMs, inputs, extraInfo);\n        });\n      });\n    });\n\n    return outputs;\n  }\n}\n\nexport function checkComputationForErrors<D extends DataType>(\n    vals: DataTypeMap[D], dtype: D, kernelName: string): boolean {\n  if (dtype !== 'float32') {\n    // Only floating point computations will generate NaN values\n    return false;\n  }\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      // Throwing custom exception so behavior is testable.\n      console.warn(`Found ${num} in the result of '${kernelName}'`);\n      return true;\n    }\n  }\n  return false;\n}\n\nexport class Logger {\n  logKernelProfile(\n      name: string, result: Tensor, vals: TypedArray, timeMs: number,\n      inputs: NamedTensorMap, extraInfo?: string) {\n    const time = util.rightPad(`${timeMs}ms`, 9);\n    const paddedName = util.rightPad(name, 25);\n    const rank = result.rank;\n    const size = result.size;\n    const shape = util.rightPad(result.shape.toString(), 14);\n    let inputShapesDescription = '';\n\n    for (const name in inputs) {\n      const input = inputs[name];\n      // The input might be a non-tensor (e.g HTMLImageElement), in which case\n      // we claim the output shape as input shape.\n      const inputShape = input.shape || result.shape;\n      const inputRank = inputShape.length;\n      inputShapesDescription +=\n          `${name}: ${inputRank}D ${inputRank > 0 ? inputShape : ''} `;\n    }\n\n    console.log(\n        `%c${paddedName}\\t%c${time}\\t%c${rank}D ${shape}\\t%c${size}\\t%c${\n            inputShapesDescription}\\t%c${extraInfo}`,\n        'font-weight:bold', 'color:red', 'color:blue', 'color: orange',\n        'color: green', 'color: steelblue');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, TypedArray} from './types';\nimport {computeStrides, isString, rightPad, sizeFromShape} from './util';\n\n// Maximum number of values before we decide to show ellipsis.\nconst FORMAT_LIMIT_NUM_VALS = 20;\n// Number of first and last values to show when displaying a, b,...,y, z.\nconst FORMAT_NUM_FIRST_LAST_VALS = 3;\n// Number of significant digits to show.\nconst FORMAT_NUM_SIG_DIGITS = 7;\n\nexport function tensorToString(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    verbose: boolean) {\n  const strides = computeStrides(shape);\n  const padPerCol = computeMaxSizePerColumn(vals, shape, dtype, strides);\n  const rank = shape.length;\n  const valsLines = subTensorToString(vals, shape, dtype, strides, padPerCol);\n  const lines = ['Tensor'];\n  if (verbose) {\n    lines.push(`  dtype: ${dtype}`);\n    lines.push(`  rank: ${rank}`);\n    lines.push(`  shape: [${shape}]`);\n    lines.push(`  values:`);\n  }\n  lines.push(valsLines.map(l => '    ' + l).join('\\n'));\n  return lines.join('\\n');\n}\n\nfunction computeMaxSizePerColumn(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    strides: number[]): number[] {\n  const n = sizeFromShape(shape);\n  const numCols = strides[strides.length - 1];\n  const padPerCol = new Array(numCols).fill(0);\n  const rank = shape.length;\n  const valuesOrTuples =\n      dtype === 'complex64' ? createComplexTuples(vals) : vals;\n\n  if (rank > 1) {\n    for (let row = 0; row < n / numCols; row++) {\n      const offset = row * numCols;\n      for (let j = 0; j < numCols; j++) {\n        padPerCol[j] = Math.max(\n            padPerCol[j],\n            valToString(valuesOrTuples[offset + j], 0, dtype).length);\n      }\n    }\n  }\n  return padPerCol;\n}\n\nfunction valToString(\n    val: number|string|[number, number], pad: number, dtype: DataType) {\n  let valStr: string;\n  if (Array.isArray(val)) {\n    valStr = `${parseFloat(val[0].toFixed(FORMAT_NUM_SIG_DIGITS))} + ` +\n        `${parseFloat(val[1].toFixed(FORMAT_NUM_SIG_DIGITS))}j`;\n  } else if (isString(val)) {\n    valStr = `'${val}'`;\n  } else if (dtype === 'bool') {\n    valStr = boolNumToString(val);\n  } else {\n    valStr = parseFloat(val.toFixed(FORMAT_NUM_SIG_DIGITS)).toString();\n  }\n\n  return rightPad(valStr, pad);\n}\n\nfunction boolNumToString(v: number): string {\n  return v === 0 ? 'false' : 'true';\n}\n\nfunction subTensorToString(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    strides: number[], padPerCol: number[], isLast = true): string[] {\n  const storagePerElement = dtype === 'complex64' ? 2 : 1;\n\n  const size = shape[0];\n  const rank = shape.length;\n  if (rank === 0) {\n    if (dtype === 'complex64') {\n      const complexTuple = createComplexTuples(vals);\n      return [valToString(complexTuple[0], 0, dtype)];\n    }\n    if (dtype === 'bool') {\n      return [boolNumToString(vals[0] as number)];\n    }\n    return [vals[0].toString()];\n  }\n\n  if (rank === 1) {\n    if (size > FORMAT_LIMIT_NUM_VALS) {\n      const firstValsSize = FORMAT_NUM_FIRST_LAST_VALS * storagePerElement;\n\n      let firstVals = Array.from<number|string|[number, number]>(\n          vals.slice(0, firstValsSize));\n      let lastVals = Array.from<number|string|[number, number]>(vals.slice(\n          (size - FORMAT_NUM_FIRST_LAST_VALS) * storagePerElement,\n          size * storagePerElement));\n      if (dtype === 'complex64') {\n        firstVals = createComplexTuples(firstVals);\n        lastVals = createComplexTuples(lastVals);\n      }\n      return [\n        '[' +\n        firstVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n            .join(', ') +\n        ', ..., ' +\n        lastVals\n            .map(\n                (x, i) => valToString(\n                    x, padPerCol[size - FORMAT_NUM_FIRST_LAST_VALS + i], dtype))\n            .join(', ') +\n        ']'\n      ];\n    }\n    const displayVals: Array<number|string|[number, number]> =\n        dtype === 'complex64' ? createComplexTuples(vals) :\n                                Array.from<number|string>(vals);\n\n    return [\n      '[' +\n      displayVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n          .join(', ') +\n      ']'\n    ];\n  }\n\n  // The array is rank 2 or more.\n  const subshape = shape.slice(1);\n  const substrides = strides.slice(1);\n  const stride = strides[0] * storagePerElement;\n  const lines: string[] = [];\n  if (size > FORMAT_LIMIT_NUM_VALS) {\n    for (let i = 0; i < FORMAT_NUM_FIRST_LAST_VALS; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          false /* isLast */));\n    }\n    lines.push('...');\n    for (let i = size - FORMAT_NUM_FIRST_LAST_VALS; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          i === size - 1 /* isLast */));\n    }\n  } else {\n    for (let i = 0; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          i === size - 1 /* isLast */));\n    }\n  }\n  const sep = rank === 2 ? ',' : '';\n  lines[0] = '[' + lines[0] + sep;\n  for (let i = 1; i < lines.length - 1; i++) {\n    lines[i] = ' ' + lines[i] + sep;\n  }\n  let newLineSep = ',\\n';\n  for (let i = 2; i < rank; i++) {\n    newLineSep += '\\n';\n  }\n  lines[lines.length - 1] =\n      ' ' + lines[lines.length - 1] + ']' + (isLast ? '' : newLineSep);\n  return lines;\n}\n\nfunction createComplexTuples(vals: Array<{}>|\n                             TypedArray): Array<[number, number]> {\n  const complexTuples: Array<[number, number]> = [];\n  for (let i = 0; i < vals.length; i += 2) {\n    complexTuples.push([vals[i], vals[i + 1]] as [number, number]);\n  }\n  return complexTuples;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** @docalias number[] */\nexport interface ShapeMap {\n  R0: number[];\n  R1: [number];\n  R2: [number, number];\n  R3: [number, number, number];\n  R4: [number, number, number, number];\n  R5: [number, number, number, number, number];\n  R6: [number, number, number, number, number, number];\n}\n\n/** @docalias number[] */\nexport interface ArrayMap {\n  R0: number;\n  R1: number[];\n  R2: number[][];\n  R3: number[][][];\n  R4: number[][][][];\n  R5: number[][][][][];\n  R6: number[][][][][][];\n}\n\nexport interface DataTypeMap {\n  float32: Float32Array;\n  int32: Int32Array;\n  bool: Uint8Array;\n  complex64: Float32Array;\n  string: string[];\n}\n\nexport interface SingleValueMap {\n  bool: boolean;\n  int32: number;\n  float32: number;\n  complex64: number;\n  string: string;\n}\n\n/** @docalias 'float32'|'int32'|'bool'|'complex64'|'string' */\nexport type DataType = keyof DataTypeMap;\nexport type NumericDataType = 'float32'|'int32'|'bool'|'complex64';\nexport type TypedArray = Float32Array|Int32Array|Uint8Array;\n/** Tensor data used in tensor creation and user-facing API. */\nexport type DataValues = DataTypeMap[DataType];\n/** The underlying tensor data that gets stored in a backend. */\nexport type BackendValues = Float32Array|Int32Array|Uint8Array|Uint8Array[];\n\nexport enum Rank {\n  R0 = 'R0',\n  R1 = 'R1',\n  R2 = 'R2',\n  R3 = 'R3',\n  R4 = 'R4',\n  R5 = 'R5',\n  R6 = 'R6'\n}\n\nexport type FlatVector = boolean[]|number[]|TypedArray;\nexport type RegularArray<T> =\n    T[]|T[][]|T[][][]|T[][][][]|T[][][][][]|T[][][][][][];\n\n// tslint:disable-next-line:no-any\nexport interface RecursiveArray<T extends any> {\n  [index: number]: T|RecursiveArray<T>;\n}\n\n// Looks for upcasting types. Used, for example, in operations with mixed dtype\n// inputs.\nenum UpcastInt32AndMap {\n  'float32' = 'float32',\n  'int32' = 'int32',\n  'bool' = 'int32',\n  'complex64' = 'complex64'\n}\n\nenum UpcastBoolAndMap {\n  'float32' = 'float32',\n  'int32' = 'int32',\n  'bool' = 'bool',\n  'complex64' = 'complex64'\n}\n\nenum UpcastFloat32AndMap {\n  'float32' = 'float32',\n  'int32' = 'float32',\n  'bool' = 'float32',\n  'complex64' = 'complex64'\n}\n\nenum UpcastComplex64AndMap {\n  'float32' = 'complex64',\n  'int32' = 'complex64',\n  'bool' = 'complex64',\n  'complex64' = 'complex64'\n}\n\nconst upcastTypeMap = {\n  'float32': UpcastFloat32AndMap,\n  'int32': UpcastInt32AndMap,\n  'bool': UpcastBoolAndMap,\n  'complex64': UpcastComplex64AndMap\n};\n\nexport function upcastType(typeA: DataType, typeB: DataType): DataType {\n  if (typeA === 'string' || typeB === 'string') {\n    if (typeA === 'string' && typeB === 'string') {\n      return 'string';\n    }\n    throw new Error(`Can not upcast ${typeA} with ${typeB}`);\n  }\n  return upcastTypeMap[typeA][typeB];\n}\n\n/** Returns the output type after summation. */\nexport function sumOutType(type: DataType): DataType {\n  return upcastType(type, 'int32');\n}\n\n/** @docalias TypedArray|Array */\nexport type TensorLike =\n    TypedArray|number|boolean|string|RecursiveArray<number|number[]|TypedArray>|\n    RecursiveArray<boolean>|RecursiveArray<string>|Uint8Array[];\nexport type ScalarLike = number|boolean|string|Uint8Array;\n/** @docalias TypedArray|Array */\nexport type TensorLike1D = TypedArray|number[]|boolean[]|string[]|Uint8Array[];\n/** @docalias TypedArray|Array */\nexport type TensorLike2D = TypedArray|number[]|number[][]|boolean[]|boolean[][]|\n    string[]|string[][]|Uint8Array[]|Uint8Array[][];\n/** @docalias TypedArray|Array */\nexport type TensorLike3D = TypedArray|number[]|number[][][]|boolean[]|\n    boolean[][][]|string[]|string[][][]|Uint8Array[]|Uint8Array[][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike4D = TypedArray|number[]|number[][][][]|boolean[]|\n    boolean[][][][]|string[]|string[][][][]|Uint8Array[]|Uint8Array[][][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike5D =\n    TypedArray|number[]|number[][][][][]|boolean[]|boolean[][][][][]|string[]|\n    string[][][][][]|Uint8Array[]|Uint8Array[][][][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike6D =\n    TypedArray|number[]|number[][][][][][]|boolean[]|boolean[][][][][][]|\n    string[]|string[][][][][][]|Uint8Array[]|Uint8Array[][][][][];\n\n/** Type for representing image dat in Uint8Array type. */\nexport interface PixelData {\n  width: number;\n  height: number;\n  data: Uint8Array;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {TensorContainer, TensorContainerArray} from './tensor_types';\nimport {upcastType} from './types';\nimport {assert} from './util';\n\nexport function makeTypesMatch<T extends Tensor>(a: T, b: T): [T, T] {\n  if (a.dtype === b.dtype) {\n    return [a, b];\n  }\n  const dtype = upcastType(a.dtype, b.dtype);\n  return [a.cast(dtype), b.cast(dtype)];\n}\n\nexport function assertTypesMatch(a: Tensor, b: Tensor): void {\n  assert(\n      a.dtype === b.dtype,\n      () => `The dtypes of the first(${a.dtype}) and` +\n          ` second(${b.dtype}) input must match`);\n}\n\nexport function isTensorInList(tensor: Tensor, tensorList: Tensor[]): boolean {\n  for (let i = 0; i < tensorList.length; i++) {\n    if (tensorList[i].id === tensor.id) {\n      return true;\n    }\n  }\n  return false;\n}\n\n/**\n * Extracts any `Tensor`s found within the provided object.\n *\n * @param container an object that may be a `Tensor` or may directly contain\n *   `Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. In general it\n *   is safe to pass any object here, except that `Promise`s are not\n *   supported.\n * @returns An array of `Tensors` found within the passed object. If the\n *   argument is simply a `Tensor', a list containing that `Tensor` is\n *   returned. If the object is not a `Tensor` or does not\n *   contain `Tensors`, an empty list is returned.\n */\nexport function getTensorsInContainer(result: TensorContainer): Tensor[] {\n  const list: Tensor[] = [];\n  const seen = new Set<{}|void>();\n  walkTensorContainer(result, list, seen);\n  return list;\n}\n\nfunction walkTensorContainer(\n    container: TensorContainer, list: Tensor[], seen: Set<{}|void>): void {\n  if (container == null) {\n    return;\n  }\n  if (container instanceof Tensor) {\n    list.push(container);\n    return;\n  }\n  if (!isIterable(container)) {\n    return;\n  }\n  // Iteration over keys works also for arrays.\n  const iterable = container as TensorContainerArray;\n  for (const k in iterable) {\n    const val = iterable[k];\n    if (!seen.has(val)) {\n      seen.add(val);\n      walkTensorContainer(val, list, seen);\n    }\n  }\n}\n\n// tslint:disable-next-line:no-any\nfunction isIterable(obj: any): boolean {\n  return Array.isArray(obj) || typeof obj === 'object';\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimingInfo, DataMover, KernelBackend} from './backends/backend';\nimport {Environment, setEnvironmentGlobal} from './environment';\nimport {getGradient, getKernel, getKernelsForBackend, NamedAttrMap, TensorInfo} from './kernel_registry';\nimport {Profiler} from './profiler';\nimport {backpropagateGradients, getFilteredNodesXToY, NamedGradientMap, TapeNode} from './tape';\nimport {DataId, setTensorTracker, Tensor, TensorTracker, Variable} from './tensor';\nimport {GradSaveFunc, NamedTensorMap, NamedVariableMap, TensorContainer} from './tensor_types';\nimport {getTensorsInContainer} from './tensor_util';\nimport {BackendValues, DataType, DataValues} from './types';\nimport * as util from './util';\nimport {bytesFromStringArray, makeOnesTypedArray, now, sizeFromShape} from './util';\n\n/**\n * A function that computes an output. The save function is for saving tensors\n * computed in the forward pass, that we need in the backward pass.\n */\nexport type ForwardFunc<T> = (backend: KernelBackend, save?: GradSaveFunc) => T;\n\n/**\n * @docalias (a: Tensor, b: Tensor,..., save?: Function) => {\n *   value: Tensor,\n *   gradFunc: (dy: Tensor, saved?: NamedTensorMap) => Tensor | Tensor[]\n * }\n */\nexport type CustomGradientFunc<T extends Tensor> =\n    (...inputs: Array<Tensor|GradSaveFunc>) => {\n      value: T;\n      gradFunc: (dy: T, saved: Tensor[]) => Tensor | Tensor[];\n    };\n\nexport type MemoryInfo = {\n  numTensors: number; numDataBuffers: number; numBytes: number;\n  unreliable?: boolean; reasons: string[];\n};\n\ntype KernelProfile = {\n  name: string; bytesAdded: number; totalBytesSnapshot: number;\n  tensorsAdded: number;\n  totalTensorsSnapshot: number;\n  inputShapes: number[][];\n  outputShapes: number[][];\n};\n\nexport type ProfileInfo = {\n  newBytes: number; newTensors: number; peakBytes: number;\n  kernels: KernelProfile[];\n  result: TensorContainer;\n};\n\nexport interface TimingInfo extends BackendTimingInfo {\n  wallMs: number;\n}\n\n/** @docalias Function */\nexport type ScopeFn<T extends TensorContainer> = () => T;\n\ninterface ScopeState {\n  track: Tensor[];\n  name: string;\n  id: number;\n}\n\nclass EngineState {\n  // Public since optimizers will use it.\n  registeredVariables: NamedVariableMap = {};\n\n  nextTapeNodeId = 0;\n  numBytes = 0;\n  numTensors = 0;\n  numStringTensors = 0;\n  numDataBuffers = 0;\n\n  activeTape: TapeNode[];\n  // Number of nested tf.grad() statements when computing higher-order\n  // gradients. E.g. `1` for first-order gradients and `2` for second-order\n  // gradients. Used to track if the tape should be removed after a backprop.\n  gradientDepth = 0;\n  // Number of nested kernel calls. When kernel depth is greater than 1, we turn\n  // off the tape.\n  kernelDepth = 0;\n\n  // Keep Tensors that parallel the tapes.\n  activeScope: ScopeState;\n  scopeStack: ScopeState[] = [];\n  /**\n   * Keeps track of the number of data moves during a kernel execution. We\n   * maintain a stack since kernels can call other kernels, recursively.\n   */\n  numDataMovesStack: number[] = [];\n  nextScopeId = 0;\n\n  tensorInfo = new WeakMap<DataId, {\n    backend: KernelBackend,\n    bytes: number,\n    dtype: DataType,\n    shape: number[],\n    refCount: number\n  }>();\n\n  profiling = false;\n  activeProfile: ProfileInfo =\n      {newBytes: 0, newTensors: 0, peakBytes: 0, kernels: [], result: null};\n\n  dispose() {\n    for (const variableName in this.registeredVariables) {\n      this.registeredVariables[variableName].dispose();\n    }\n  }\n}\n\nexport class Engine implements TensorTracker, DataMover {\n  state: EngineState;\n  backendName: string;\n  registry: {[id: string]: KernelBackend} = {};\n  registryFactory: {\n    [id: string]: {\n      factory: () => KernelBackend | Promise<KernelBackend>,\n      priority: number\n    }\n  } = {};\n\n  private profiler: Profiler;\n  private backendInstance: KernelBackend;\n  private pendingBackendInit: Promise<boolean>;\n  private pendingBackendInitId = 0;\n\n  constructor(public ENV: Environment) {\n    this.state = new EngineState();\n  }\n\n  async ready(): Promise<void> {\n    if (this.pendingBackendInit != null) {\n      return this.pendingBackendInit.then(() => {});\n    }\n    if (this.backendInstance != null) {\n      return;\n    }\n    const sortedBackends = this.getSortedBackends();\n\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const success = await this.initializeBackend(backendName).success;\n      if (success) {\n        await this.setBackend(backendName);\n        return;\n      }\n    }\n\n    throw new Error(\n        `Could not initialize any backends, all backend initializations ` +\n        `failed.`);\n  }\n\n  get backend(): KernelBackend {\n    if (this.pendingBackendInit != null) {\n      throw new Error(\n          `Backend '${this.backendName}' has not yet been initialized. Make ` +\n          `sure to await tf.ready() or await tf.setBackend() before calling ` +\n          `other methods`);\n    }\n    if (this.backendInstance == null) {\n      const {name, asyncInit} = this.initializeBackendsAndReturnBest();\n      if (asyncInit) {\n        throw new Error(\n            `The highest priority backend '${name}' has not yet been ` +\n            `initialized. Make sure to await tf.ready() or ` +\n            `await tf.setBackend() before calling other methods`);\n      }\n      this.setBackend(name);\n    }\n    return this.backendInstance;\n  }\n\n  backendNames(): string[] {\n    return Object.keys(this.registryFactory);\n  }\n\n  findBackend(backendName: string): KernelBackend {\n    if (!(backendName in this.registry)) {\n      // If the backend hasn't been initialized but we have a registry entry for\n      // it, initialize it and return it.\n      if (backendName in this.registryFactory) {\n        const {asyncInit} = this.initializeBackend(backendName);\n        if (asyncInit) {\n          // Backend is not ready yet.\n          return null;\n        }\n      } else {\n        return null;\n      }\n    }\n    return this.registry[backendName];\n  }\n\n  findBackendFactory(backendName: string):\n      () => KernelBackend | Promise<KernelBackend> {\n    if (!(backendName in this.registryFactory)) {\n      return null;\n    }\n    return this.registryFactory[backendName].factory;\n  }\n\n  registerBackend(\n      backendName: string,\n      factory: () => KernelBackend | Promise<KernelBackend>,\n      priority = 1): boolean {\n    if (backendName in this.registryFactory) {\n      console.warn(\n          `${backendName} backend was already registered. ` +\n          `Reusing existing backend factory.`);\n      return false;\n    }\n    this.registryFactory[backendName] = {factory, priority};\n    return true;\n  }\n\n  async setBackend(backendName: string): Promise<boolean> {\n    if (this.registryFactory[backendName] == null) {\n      throw new Error(`Backend name '${backendName}' not found in registry`);\n    }\n    this.backendName = backendName;\n    if (this.registry[backendName] == null) {\n      this.backendInstance = null;\n      const {success, asyncInit} = this.initializeBackend(backendName);\n      const result = asyncInit ? await success : success;\n      if (!result) {\n        return false;\n      }\n    }\n    this.backendInstance = this.registry[backendName];\n    this.setupRegisteredKernels();\n    // Reset the profiler.\n    this.profiler = new Profiler(this.backendInstance);\n\n    return true;\n  }\n\n  private setupRegisteredKernels(): void {\n    const kernels = getKernelsForBackend(this.backendName);\n    kernels.forEach(kernel => {\n      if (kernel.setupFunc != null) {\n        kernel.setupFunc(this.backendInstance);\n      }\n    });\n  }\n\n  private disposeRegisteredKernels(backendName: string): void {\n    const kernels = getKernelsForBackend(backendName);\n    kernels.forEach(kernel => {\n      if (kernel.disposeFunc != null) {\n        kernel.disposeFunc(this.registry[backendName]);\n      }\n    });\n  }\n\n  /**\n   * Initializes a backend by looking up the backend name in the factory\n   * registry and calling the factory method. Returns a boolean representing\n   * whether the initialization of the backend suceeded. Throws an error if\n   * there is no backend in the factory registry.\n   */\n  private initializeBackend(backendName: string):\n      {success: boolean|Promise<boolean>, asyncInit: boolean} {\n    const registryFactoryEntry = this.registryFactory[backendName];\n    if (registryFactoryEntry == null) {\n      throw new Error(\n          `Cannot initialize backend ${backendName}, no registration found.`);\n    }\n\n    try {\n      const backend = registryFactoryEntry.factory();\n      // Test if the factory returns a promise.\n      if (Promise.resolve(backend) === backend) {\n        const promiseId = ++this.pendingBackendInitId;\n        const success =\n            backend\n                .then(backendInstance => {\n                  // Outdated promise. Another backend was set in the meantime.\n                  if (promiseId < this.pendingBackendInitId) {\n                    return false;\n                  }\n                  this.registry[backendName] = backendInstance;\n                  this.pendingBackendInit = null;\n                  return true;\n                })\n                .catch(err => {\n                  // Outdated promise. Another backend was set in the meantime.\n                  if (promiseId < this.pendingBackendInitId) {\n                    return false;\n                  }\n                  this.pendingBackendInit = null;\n                  console.warn(\n                      `Initialization of backend ${backendName} failed`);\n                  console.warn(err.stack || err.message);\n                  return false;\n                });\n        this.pendingBackendInit = success;\n        return {success, asyncInit: true};\n      } else {\n        this.registry[backendName] = backend as KernelBackend;\n        return {success: true, asyncInit: false};\n      }\n    } catch (err) {\n      console.warn(`Initialization of backend ${backendName} failed`);\n      console.warn(err.stack || err.message);\n      return {success: false, asyncInit: false};\n    }\n  }\n\n  removeBackend(backendName: string): void {\n    if (!(backendName in this.registryFactory)) {\n      throw new Error(`${backendName} backend not found in registry`);\n    }\n    if (this.backendName === backendName && this.pendingBackendInit != null) {\n      // There is a pending promise of the backend we want to remove. Make it\n      // obsolete.\n      this.pendingBackendInitId++;\n    }\n\n    if (backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n\n    delete this.registryFactory[backendName];\n\n    // Unset the backend if it is active.\n    if (this.backendName === backendName) {\n      this.pendingBackendInit = null;\n      this.backendName = null;\n      this.backendInstance = null;\n    }\n  }\n\n  private getSortedBackends(): string[] {\n    if (Object.keys(this.registryFactory).length === 0) {\n      throw new Error('No backend found in registry.');\n    }\n    return Object.keys(this.registryFactory).sort((a: string, b: string) => {\n      // Highest priority comes first.\n      return this.registryFactory[b].priority -\n          this.registryFactory[a].priority;\n    });\n  }\n\n  private initializeBackendsAndReturnBest():\n      {name: string, asyncInit: boolean} {\n    const sortedBackends = this.getSortedBackends();\n\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const {success, asyncInit} = this.initializeBackend(backendName);\n      if (asyncInit || success) {\n        return {name: backendName, asyncInit};\n      }\n    }\n    throw new Error(\n        `Could not initialize any backends, all backend initializations ` +\n        `failed.`);\n  }\n\n  moveData(destBackend: KernelBackend, dataId: DataId) {\n    const info = this.state.tensorInfo.get(dataId);\n    const srcBackend = info.backend;\n    const values = this.readSync(dataId);\n    // Delete the tensor from the old backend and move it to the new\n    // backend.\n    srcBackend.disposeData(dataId);\n    info.backend = destBackend;\n    destBackend.move(dataId, values, info.shape, info.dtype);\n    if (this.shouldCheckForMemLeaks()) {\n      // Track the number of moves during a kernel execution to correctly\n      // detect memory leaks.\n      this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1]++;\n    }\n  }\n\n  tidy<T extends TensorContainer>(nameOrFn: string|ScopeFn<T>, fn?: ScopeFn<T>):\n      T {\n    let name: string = null;\n    if (fn == null) {\n      // Called with only 1 argument.\n      if (typeof nameOrFn !== 'function') {\n        throw new Error('Please provide a function to tidy()');\n      }\n      fn = nameOrFn;\n    } else {\n      // Called with 2 arguments.\n      if (typeof nameOrFn !== 'string' && !(nameOrFn instanceof String)) {\n        throw new Error(\n            'When calling with two arguments, the first argument ' +\n            'to tidy() must be a string');\n      }\n      if (typeof fn !== 'function') {\n        throw new Error(\n            'When calling with two arguments, the 2nd argument ' +\n            'to tidy() must be a function');\n      }\n      name = nameOrFn as string;\n      // TODO(nsthorat,smilkov): Do operation logging and performance\n      // profiling.\n    }\n    let result: T;\n    return this.scopedRun(\n        () => this.startScope(name), () => this.endScope(result), () => {\n          result = fn();\n          if (result instanceof Promise) {\n            console.error('Cannot return a Promise inside of tidy.');\n          }\n          return result;\n        });\n  }\n\n  private scopedRun<T>(start: () => void, end: () => void, f: () => T): T {\n    start();\n    try {\n      const res = f();\n      end();\n      return res;\n    } catch (ex) {\n      end();\n      throw ex;\n    }\n  }\n\n  private static nextTensorId = 0;\n  private nextTensorId(): number {\n    return Engine.nextTensorId++;\n  }\n\n  private static nextVariableId = 0;\n  private nextVariableId(): number {\n    return Engine.nextVariableId++;\n  }\n\n  /**\n   * This method is called instead of the public-facing tensor.clone() when\n   * saving a tensor for backwards pass. It makes sure to add the clone\n   * operation to the tape regardless of being called inside a kernel\n   * execution.\n   *\n   * This method will go away once all kernels are modularized since we won't\n   * need to turn off the tape inside runKernel().\n   */\n  private clone(x: Tensor): Tensor {\n    const y = this.makeTensorFromDataId(x.dataId, x.shape, x.dtype);\n    const inputs = {x};\n    const grad = (dy: Tensor) => ({x: () => dy.toFloat()});\n    const saved: Tensor[] = [];\n    this.addTapeNode(this.state.activeScope.name, inputs, [y], grad, saved);\n    return y;\n  }\n\n  /**\n   * Execute a kernel with the given name and return the output tensor.\n   *\n   * @param kernelName The name of the kernel to execute.\n   * @param inputs A map of input names to tensors.\n   * @param attrs A map of attribute names to their values. An attribute is a\n   *     primitive (non-tensor) input to the kernel.\n   * @param inputsToSave A list of tensors, inputs to save for the backprop\n   *     computation.\n   * @param outputsToSave A list of booleans, specifying which output to save\n   *     for the backprop computation. These are booleans since the output\n   * tensors are not visible to the user.\n   */\n  runKernel(\n      kernelName: string, inputs: NamedTensorMap, attrs: NamedAttrMap,\n      inputsToSave?: Tensor[], outputsToSave?: boolean[]): Tensor|Tensor[] {\n    const forwardFunc: null = null;\n    const backwardsFunc: null = null;\n    // Call runKernel as a stop-gap until we modularize all kernels.\n    // Once we modularize all kernels, we will remove the existing\n    // `runKernelFunc`.\n    return this.runKernelFunc(\n        forwardFunc, inputs, backwardsFunc, kernelName, attrs, inputsToSave,\n        outputsToSave);\n  }\n\n  private shouldCheckForMemLeaks(): boolean {\n    return this.ENV.getBool('IS_TEST');\n  }\n\n  private checkKernelForMemLeak(\n      kernelName: string, numDataIdsBefore: number,\n      outInfos: TensorInfo[]): void {\n    const numDataIdsAfter = this.backend.numDataIds();\n\n    // Count the number of data ids associated with the result of the kernel.\n    let numOutputDataIds = 0;\n    outInfos.forEach(info => {\n      // Complex numbers allocate 3 data ids, one for 'real', one for\n      // 'imaginary', and one for the container that holds the former two.\n      numOutputDataIds += (info.dtype === 'complex64' ? 3 : 1);\n    });\n\n    // Account for the number of moves during kernel execution. A \"data move\"\n    // can happen in the middle of a kernel execution, placing a new (key,value)\n    // pair in the data storage. Since data moves have net zero effect (we\n    // always remove the data from the old backend), we have to cancel them out\n    // when detecting memory leaks.\n    const numMoves =\n        this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1];\n    const dataIdsLeaked =\n        numDataIdsAfter - numDataIdsBefore - numOutputDataIds - numMoves;\n    if (dataIdsLeaked > 0) {\n      throw new Error(\n          `Backend '${this.backendName}' has an internal memory leak ` +\n          `(${dataIdsLeaked} data ids) after running '${kernelName}'`);\n    }\n  }\n\n  /**\n   * @deprecated Use `runKernel` for newly added kernels. Keep using this method\n   *     only for kernels that are not yet fully modularized.\n   */\n  runKernelFunc<T extends Tensor|Tensor[], I extends NamedTensorMap>(\n      forwardFunc: ForwardFunc<T>, inputs: I,\n      backwardsFunc?: (dy: T, saved: Tensor[]) => {[P in keyof I]: () => I[P]},\n      kernelName?: string, attrs?: NamedAttrMap, inputsToSave: Tensor[] = [],\n      outputsToSave: boolean[] = []): T {\n    let outputs: Tensor[];\n    let saved: Tensor[] = [];\n    const isTapeOn = this.isTapeOn();\n    if (kernelName == null) {\n      kernelName =\n          this.state.activeScope != null ? this.state.activeScope.name : '';\n    }\n    const saveFunc: GradSaveFunc = (tensors) => {\n      // Do not save unless we are recording to the tape. Otherwise it would\n      // cause a mem leak since we would never run backprop, which disposes\n      // the kept tensors.\n      if (!isTapeOn) {\n        return;\n      }\n      saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n    };\n\n    const startingBytecount = this.state.numBytes;\n    const startingNumTensors = this.state.numTensors;\n\n    if (this.shouldCheckForMemLeaks()) {\n      this.state.numDataMovesStack.push(0);\n    }\n\n    let kernelFunc: () => Tensor[];\n    const kernel = getKernel(kernelName, this.backendName);\n    let out: TensorInfo|TensorInfo[];\n    if (kernel != null) {\n      kernelFunc = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = kernel.kernelFunc({inputs, attrs, backend: this.backend});\n        const outInfos = Array.isArray(out) ? out : [out];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos);\n        }\n        const outTensors = outInfos.map(\n            ({dataId, shape, dtype}) =>\n                this.makeTensorFromDataId(dataId, shape, dtype));\n        const outsToSave = outTensors.filter((_, i) => outputsToSave[i]);\n        // Save the inputs and outputs.\n        saveFunc((inputsToSave || []).slice().concat(outsToSave));\n        return outTensors;\n      };\n    } else {\n      kernelFunc = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = this.tidy(() => forwardFunc(this.backend, saveFunc));\n        const outs = (Array.isArray(out) ? out : [out]) as Tensor[];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outs);\n        }\n        return outs;\n      };\n    }\n\n    // Stop recording to a tape when running a kernel.\n    this.scopedRun(\n        () => this.state.kernelDepth++, () => this.state.kernelDepth--, () => {\n          if (!this.ENV.getBool('DEBUG')) {\n            outputs = kernelFunc();\n          } else {\n            outputs = this.profiler.profileKernel(\n                kernelName, inputs, () => kernelFunc());\n          }\n        });\n\n    if (isTapeOn) {\n      this.addTapeNode(kernelName, inputs, outputs, backwardsFunc, saved);\n    }\n\n    if (this.state.profiling) {\n      this.state.activeProfile.kernels.push({\n        name: kernelName,\n        bytesAdded: this.state.numBytes - startingBytecount,\n        totalBytesSnapshot: this.state.numBytes,\n        tensorsAdded: this.state.numTensors - startingNumTensors,\n        totalTensorsSnapshot: this.state.numTensors,\n        inputShapes: Object.keys(inputs).map(key => inputs[key].shape),\n        outputShapes: outputs.map(item => item.shape)\n      });\n    }\n    return (Array.isArray(out) ? outputs : outputs[0]) as T;\n  }\n\n  /**\n   * Internal method used by public APIs for tensor creation. Makes a new\n   * tensor with the provided shape, dtype and values. It always\n   * creates a new data id and writes the values to the underlying backend.\n   */\n  makeTensor(\n      values: DataValues, shape: number[], dtype: DataType,\n      backend?: KernelBackend): Tensor {\n    if (values == null) {\n      throw new Error('Values passed to engine.makeTensor() are null');\n    }\n    dtype = dtype || 'float32';\n    backend = backend || this.backend;\n    let backendVals = values as BackendValues;\n    if (dtype === 'string' && util.isString(values[0])) {\n      backendVals = (values as string[]).map(d => util.encodeString(d));\n    }\n    const dataId = backend.write(backendVals, shape, dtype);\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.incRef(t, backend);\n\n    // Count bytes for string tensors.\n    if (dtype === 'string') {\n      const info = this.state.tensorInfo.get(dataId);\n      const newBytes = bytesFromStringArray(backendVals as Uint8Array[]);\n      this.state.numBytes += newBytes - info.bytes;\n      info.bytes = newBytes;\n    }\n    return t;\n  }\n\n  /**\n   * Internal method used by backends. Makes a new tensor\n   * that is a wrapper around an existing data id. It doesn't create\n   * a new data id, only increments the ref count used in memory tracking.\n   */\n  makeTensorFromDataId(\n      dataId: DataId, shape: number[], dtype: DataType,\n      backend?: KernelBackend): Tensor {\n    dtype = dtype || 'float32';\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.incRef(t, backend);\n    return t;\n  }\n\n  makeVariable(\n      initialValue: Tensor, trainable = true, name?: string,\n      dtype?: DataType): Variable {\n    name = name || this.nextVariableId().toString();\n    if (dtype != null && dtype !== initialValue.dtype) {\n      initialValue = initialValue.asType(dtype);\n    }\n    const v = new Variable(initialValue, trainable, name, this.nextTensorId());\n    if (this.state.registeredVariables[v.name] != null) {\n      throw new Error(`Variable with name ${v.name} was already registered`);\n    }\n    this.state.registeredVariables[v.name] = v;\n    this.incRef(v, this.backend);\n    return v;\n  }\n\n  incRef(a: Tensor, backend: KernelBackend): void {\n    const refCount = this.state.tensorInfo.has(a.dataId) ?\n        this.state.tensorInfo.get(a.dataId).refCount :\n        0;\n    this.state.numTensors++;\n    if (a.dtype === 'string') {\n      this.state.numStringTensors++;\n    }\n    if (refCount === 0) {\n      this.state.numDataBuffers++;\n\n      // Bytes for complex numbers are counted by their components. Bytes for\n      // string tensors are counted when writing values.\n      let bytes = 0;\n      if (a.dtype !== 'complex64' && a.dtype !== 'string') {\n        bytes = a.size * util.bytesPerElement(a.dtype);\n      }\n      this.state.tensorInfo.set(a.dataId, {\n        backend: backend || this.backend,\n        dtype: a.dtype,\n        shape: a.shape,\n        bytes,\n        refCount: 0\n      });\n      this.state.numBytes += bytes;\n    }\n    this.state.tensorInfo.get(a.dataId).refCount++;\n    if (!(a instanceof Variable)) {\n      this.track(a);\n    }\n  }\n\n  disposeTensor(a: Tensor): void {\n    if (!this.state.tensorInfo.has(a.dataId)) {\n      return;\n    }\n\n    this.state.numTensors--;\n    if (a.dtype === 'string') {\n      this.state.numStringTensors--;\n    }\n    const info = this.state.tensorInfo.get(a.dataId);\n    const refCount = info.refCount;\n    if (refCount <= 1) {\n      // Don't count bytes for complex numbers as they are counted by their\n      // components.\n      if (a.dtype !== 'complex64') {\n        this.state.numBytes -= info.bytes;\n      }\n      this.state.numDataBuffers--;\n      info.backend.disposeData(a.dataId);\n      this.state.tensorInfo.delete(a.dataId);\n    } else {\n      this.state.tensorInfo.get(a.dataId).refCount--;\n    }\n    // TODO(nsthorat): Construct an error and save the stack trace for\n    // debugging when in debug mode. Creating a stack trace is too expensive\n    // to do unconditionally.\n  }\n\n  disposeVariables(): void {\n    for (const varName in this.state.registeredVariables) {\n      const v = this.state.registeredVariables[varName];\n      this.disposeVariable(v);\n    }\n  }\n\n  disposeVariable(v: Variable): void {\n    this.disposeTensor(v);\n    if (this.state.registeredVariables[v.name] != null) {\n      delete this.state.registeredVariables[v.name];\n    }\n  }\n\n  memory(): MemoryInfo {\n    const info = this.backend.memory() as MemoryInfo;\n    info.numTensors = this.state.numTensors;\n    info.numDataBuffers = this.state.numDataBuffers;\n    info.numBytes = this.state.numBytes;\n    if (this.state.numStringTensors > 0) {\n      info.unreliable = true;\n      if (info.reasons == null) {\n        info.reasons = [];\n      }\n      info.reasons.push(\n          'Memory usage by string tensors is approximate ' +\n          '(2 bytes per character)');\n    }\n    return info;\n  }\n\n  async profile(query: () => TensorContainer): Promise<ProfileInfo> {\n    this.state.profiling = true;\n\n    const startBytes = this.state.numBytes;\n    const startNumTensors = this.state.numTensors;\n\n    this.state.activeProfile.kernels = [];\n    this.state.activeProfile.result = query();\n\n    this.state.profiling = false;\n\n    this.state.activeProfile.peakBytes = Math.max(\n        ...this.state.activeProfile.kernels.map(d => d.totalBytesSnapshot));\n    this.state.activeProfile.newBytes = this.state.numBytes - startBytes;\n    this.state.activeProfile.newTensors =\n        this.state.numTensors - startNumTensors;\n    return this.state.activeProfile;\n  }\n\n  isTapeOn(): boolean {\n    return this.state.gradientDepth > 0 && this.state.kernelDepth === 0;\n  }\n\n  private addTapeNode(\n      kernelName: string, inputs: NamedTensorMap, outputs: Tensor[],\n      gradientsFunc: (dy: Tensor|Tensor[], saved: Tensor[]) => NamedGradientMap,\n      saved: Tensor[]): void {\n    const tapeNode: TapeNode =\n        {id: this.state.nextTapeNodeId++, kernelName, inputs, outputs, saved};\n\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      gradientsFunc = gradConfig.gradFunc;\n    }\n    if (gradientsFunc != null) {\n      tapeNode.gradient = (dys: Tensor[]) => {\n        // TODO(smilkov): To optimize back-prop, pass dys that are not used in\n        // the backprop graph to the user as null instead of zeros\n        dys = dys.map((dy, i) => {\n          if (dy == null) {\n            const output = outputs[i];\n            const vals = util.makeZerosTypedArray(output.size, output.dtype);\n            return this.makeTensor(vals, output.shape, output.dtype);\n          }\n          return dy;\n        });\n        // Grad functions of ops with single outputs expect a dy, while ops\n        // with multiple outputs expect dys (array of dy).\n        return gradientsFunc(dys.length > 1 ? dys : dys[0], saved);\n      };\n    }\n    this.state.activeTape.push(tapeNode);\n  }\n\n  keep<T extends Tensor>(result: T): T {\n    result.kept = true;\n    return result;\n  }\n\n  private startTape() {\n    if (this.state.gradientDepth === 0) {\n      this.state.activeTape = [];\n    }\n    this.state.gradientDepth++;\n  }\n\n  private endTape() {\n    this.state.gradientDepth--;\n  }\n\n  /**\n   * Start a scope. Use this with endScope() to achieve the same functionality\n   * as scope() without the need for a function closure.\n   */\n  startScope(name?: string) {\n    const scopeInfo: ScopeState = {\n      track: [],\n      name: 'unnamed scope',\n      id: this.state.nextScopeId++\n    };\n    if (name) {\n      scopeInfo.name = name;\n    }\n    this.state.scopeStack.push(scopeInfo);\n    this.state.activeScope = scopeInfo;\n  }\n\n  /**\n   * End a scope. Use this with startScope() to achieve the same functionality\n   * as scope() without the need for a function closure.\n   */\n  endScope(result?: TensorContainer) {\n    const tensorsToTrackInParent = getTensorsInContainer(result);\n    const tensorsToTrackInParentSet =\n        new Set(tensorsToTrackInParent.map(t => t.id));\n\n    // Dispose the arrays tracked in this scope.\n    for (let i = 0; i < this.state.activeScope.track.length; i++) {\n      const tensor = this.state.activeScope.track[i];\n      if (!tensor.kept && !tensorsToTrackInParentSet.has(tensor.id)) {\n        tensor.dispose();\n      }\n    }\n\n    const oldScope = this.state.scopeStack.pop();\n    this.state.activeScope = this.state.scopeStack.length === 0 ?\n        null :\n        this.state.scopeStack[this.state.scopeStack.length - 1];\n\n    // Track the current result in the parent scope.\n    tensorsToTrackInParent.forEach(tensor => {\n      // Only track the tensor if was allocated in the inner scope and is not\n      // globally kept.\n      if (!tensor.kept && tensor.scopeId === oldScope.id) {\n        this.track(tensor);\n      }\n    });\n  }\n\n  /**\n   * Returns gradients of `f` with respect to each of the `xs`. The gradients\n   * returned are of the same length as `xs`, but some might be null if `f`\n   * was not a function of that `x`. It also takes optional dy to multiply the\n   * gradient, which defaults to `1`.\n   */\n  gradients<T extends Tensor>(\n      f: () => T, xs: Tensor[], dy?: T,\n      allowNoGradients = false): {value: T, grads: Tensor[]} {\n    util.assert(\n        xs.length > 0, () => 'gradients() received an empty list of xs.');\n    if (dy != null && dy.dtype !== 'float32') {\n      throw new Error(`dy must have 'float32' dtype, but has '${dy.dtype}'`);\n    }\n\n    const y = this.scopedRun(\n        () => this.startTape(), () => this.endTape(),\n        () => this.tidy('forward', f));\n\n    util.assert(\n        y instanceof Tensor,\n        () => 'The result y returned by f() must be a tensor.');\n    // Filter out the nodes that don't connect x => y.\n    const filteredTape = getFilteredNodesXToY(this.state.activeTape, xs, y);\n    if (!allowNoGradients && filteredTape.length === 0 && xs.length > 0) {\n      throw new Error(\n          'Cannot compute gradient of y=f(x) with respect to x. Make sure ' +\n          'that the f you passed encloses all operations that lead from x ' +\n          'to y.');\n    }\n\n    return this.tidy('backward', () => {\n      const accumulatedGradientMap: {[tensorId: number]: Tensor} = {};\n      accumulatedGradientMap[y.id] = (dy == null) ? ones(y.shape) : dy;\n\n      // Backprop gradients through the filtered nodes.\n      backpropagateGradients(\n          accumulatedGradientMap, filteredTape,\n          // Pass the tidy function to avoid circular dep with `tape.ts`.\n          f => this.tidy(f as ScopeFn<Tensor>));\n      const grads = xs.map(x => accumulatedGradientMap[x.id]);\n\n      if (this.state.gradientDepth === 0) {\n        // This means that we are not computing higher-order gradients\n        // and can clean up the tape.\n        this.state.activeTape.forEach(node => {\n          for (const tensor of node.saved) {\n            tensor.dispose();\n          }\n        });\n        this.state.activeTape = null;\n      }\n      return {value: y, grads};\n    });\n  }\n\n  customGrad<T extends Tensor>(f: CustomGradientFunc<T>):\n      (...args: Array<Tensor|GradSaveFunc>) => T {\n    util.assert(\n        util.isFunction(f),\n        () => 'The f passed in customGrad(f) must be a function.');\n    return (...inputs: Tensor[]): T => {\n      util.assert(\n          inputs.every(t => t instanceof Tensor),\n          () => 'The args passed in customGrad(f)(x1, x2,...) must all be ' +\n              'tensors');\n\n      let res: {\n        value: T,\n        gradFunc: (dy: T, saved: Tensor[]) => Tensor | Tensor[],\n      };\n      const inputMap: NamedTensorMap = {};\n      inputs.forEach((input, i) => {\n        inputMap[i] = input;\n      });\n      return this.runKernelFunc(\n          (_, save) => {\n            res = f(...[...inputs, save]);\n            util.assert(\n                res.value instanceof Tensor,\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.value` is a tensor');\n            util.assert(\n                util.isFunction(res.gradFunc),\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function.');\n            return res.value;\n          },\n          inputMap,\n          (dy: T, saved: Tensor[]) => {\n            const gradRes = res.gradFunc(dy, saved);\n            const grads: Tensor[] =\n                Array.isArray(gradRes) ? gradRes : [gradRes];\n            util.assert(\n                grads.length === inputs.length,\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function that returns ' +\n                    'the same number of tensors as inputs passed to f(...).');\n            util.assert(\n                grads.every(t => t instanceof Tensor),\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function that returns ' +\n                    'a list of only tensors.');\n            const gradMap: {[key: string]: () => Tensor} = {};\n            grads.forEach((grad, i) => {\n              gradMap[i] = () => grad;\n            });\n            return gradMap;\n          });\n    };\n  }\n\n  readSync(dataId: DataId): BackendValues {\n    // Route the read to the correct backend.\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.readSync(dataId);\n  }\n  read(dataId: DataId): Promise<BackendValues> {\n    // Route the read to the correct backend.\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.read(dataId);\n  }\n\n  async time(query: () => void): Promise<TimingInfo> {\n    const start = now();\n    const timingInfo = await this.backend.time(query) as TimingInfo;\n    timingInfo.wallMs = now() - start;\n    return timingInfo;\n  }\n\n  /**\n   * Tracks a Tensor in the current scope to be automatically cleaned up\n   * when the current scope ends, and returns the value.\n   *\n   * @param result The Tensor to track in the current scope.\n   */\n  private track<T extends Tensor>(result: T): T {\n    if (this.state.activeScope != null) {\n      result.scopeId = this.state.activeScope.id;\n      this.state.activeScope.track.push(result);\n    }\n\n    return result;\n  }\n\n  get registeredVariables(): NamedVariableMap {\n    return this.state.registeredVariables;\n  }\n\n  /**\n   * Resets the engine state. Removes all backends but does not remove\n   * registered backend factories.\n   */\n  reset(): void {\n    // Make any pending promise obsolete.\n    this.pendingBackendInitId++;\n\n    this.state.dispose();\n    this.ENV.reset();\n    this.state = new EngineState();\n\n    for (const backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n    this.backendName = null;\n    this.backendInstance = null;\n    this.pendingBackendInit = null;\n  }\n}\n\nfunction ones(shape: number[]): Tensor {\n  const values = makeOnesTypedArray(sizeFromShape(shape), 'float32');\n  return ENGINE.makeTensor(values, shape, 'float32');\n}\n\nlet GLOBAL: {_tfengine: Engine};\nfunction getGlobalNamespace(): {_tfengine: Engine} {\n  if (GLOBAL == null) {\n    // tslint:disable-next-line:no-any\n    let ns: any;\n    if (typeof (window) !== 'undefined') {\n      ns = window;\n    } else if (typeof (global) !== 'undefined') {\n      ns = global;\n    } else if (typeof (process) !== 'undefined') {\n      ns = process;\n    } else if (typeof (self) !== 'undefined') {\n      ns = self;\n    } else {\n      throw new Error('Could not find a global object');\n    }\n    GLOBAL = ns;\n  }\n  return GLOBAL;\n}\n\nfunction getOrMakeEngine(): Engine {\n  const ns = getGlobalNamespace();\n  if (ns._tfengine == null) {\n    const environment = new Environment(ns);\n    ns._tfengine = new Engine(environment);\n  }\n  setEnvironmentGlobal(ns._tfengine.ENV);\n\n  // Tell the current tensor interface that the global engine is responsible\n  // for tracking.\n  setTensorTracker(() => ns._tfengine);\n  return ns._tfengine;\n}\n\nexport const ENGINE = getOrMakeEngine();\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport * as util from './util';\n\nexport interface TapeNode {\n  id: number;\n  kernelName: string;\n  outputs: Tensor[];\n  inputs: NamedTensorMap;\n  // Optional params, defined only for ops with gradient impl.\n  gradient?: (dys: Tensor[]) => NamedGradientMap;\n  saved?: Tensor[];\n}\n\nexport type NamedGradientMap = {\n  [inputName: string]: () => Tensor;\n};\n\n/**\n * Computes a list of TapeNodes that connect x to y, filtering everything else\n * out and preserving the order of the original tape elements.\n *\n * @param tape The tape elements to filter.\n * @param xs The input Tensors.\n * @param y The output Tensor.\n */\nexport function getFilteredNodesXToY(\n    tape: TapeNode[], xs: Tensor[], y: Tensor): TapeNode[] {\n  // Forward pass to compute all the nodes and Tensors that are transitively a\n  // function of x.\n  const tensorsFromX: {[tensorId: number]: boolean} = {};\n  const nodesFromX: {[nodeId: number]: boolean} = {};\n  for (let i = 0; i < xs.length; i++) {\n    tensorsFromX[xs[i].id] = true;\n  }\n\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n    for (const inputName in nodeInputs) {\n      const input = nodeInputs[inputName];\n\n      let anyInputFromX = false;\n      for (let j = 0; j < xs.length; j++) {\n        if (tensorsFromX[input.id]) {\n          node.outputs.forEach(output => tensorsFromX[output.id] = true);\n          anyInputFromX = true;\n          nodesFromX[node.id] = true;\n          break;\n        }\n      }\n\n      if (anyInputFromX) {\n        break;\n      }\n    }\n  }\n\n  // Backward pass to find all of the nodes and Tensors that lead to y.\n  const tensorsLeadToY: {[tensorId: number]: boolean} = {};\n  tensorsLeadToY[y.id] = true;\n  const nodesToY: {[nodeId: number]: boolean} = {};\n\n  for (let i = tape.length - 1; i >= 0; i--) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n\n    // If any of the outputs lead to y, mark all of the inputs as leading to y.\n    for (let j = 0; j < node.outputs.length; j++) {\n      if (tensorsLeadToY[node.outputs[j].id]) {\n        for (const inputName in nodeInputs) {\n          tensorsLeadToY[nodeInputs[inputName].id] = true;\n          nodesToY[node.id] = true;\n        }\n        break;\n      }\n    }\n  }\n\n  // Return the paths that come from x and lead to y.\n  const filteredTape: TapeNode[] = [];\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n\n    if (nodesFromX[node.id] && nodesToY[node.id]) {\n      // Prune the inputs from the node that aren't a function of x.\n      const prunedInputs: {[inputName: string]: Tensor} = {};\n      for (const inputName in node.inputs) {\n        const nodeInput = node.inputs[inputName];\n        if (tensorsFromX[nodeInput.id]) {\n          prunedInputs[inputName] = nodeInput;\n        }\n      }\n\n      // Copy the node and overwrite inputsAndArgs to the pruned version.\n      const prunedNode = Object.assign({}, node);\n      prunedNode.inputs = prunedInputs;\n      prunedNode.outputs = node.outputs;\n\n      filteredTape.push(prunedNode);\n    }\n  }\n\n  return filteredTape;\n}\n\n/**\n * Backpropagate gradients through the filtered TapeNodes.\n *\n * @param tensorAccumulatedGradientMap A map of Tensor to its gradient. This map\n * is mutated by this method.\n * @param filteredTape The filtered TapeNodes to backprop through.\n */\nexport function backpropagateGradients(\n    tensorAccumulatedGradientMap: {[tensorId: number]: Tensor},\n    filteredTape: TapeNode[], tidy: (f: Function) => Tensor) {\n  // Walk the tape backward and keep a map of Tensor to its gradient.\n  for (let i = filteredTape.length - 1; i >= 0; i--) {\n    const node = filteredTape[i];\n\n    const dys: Tensor[] = [];\n    node.outputs.forEach(o => {\n      const gradTensor = tensorAccumulatedGradientMap[o.id];\n      if (gradTensor != null) {\n        dys.push(gradTensor);\n      } else {\n        // This particular output is not in the back-propagation subgraph, so it\n        // does not affect the final output, thus we put null for its dy.\n        dys.push(null);\n      }\n    });\n\n    if (node.gradient == null) {\n      throw new Error(\n          `Cannot compute gradient: gradient function not found ` +\n          `for ${node.kernelName}.`);\n    }\n\n    // Backprop dy through this node and accumulate gradients over the inputs.\n    const inputGradients = node.gradient(dys);\n\n    for (const inputName in node.inputs) {\n      if (!(inputName in inputGradients)) {\n        throw new Error(\n            `Cannot backprop through input ${inputName}. ` +\n            `Available gradients found: ${Object.keys(inputGradients)}.`);\n      }\n\n      // Call the gradient function.\n      const dx = tidy(() => inputGradients[inputName]());\n      if (dx.dtype !== 'float32') {\n        throw new Error(\n            `Error in gradient for op ${\n                node.kernelName}. The gradient of input ` +\n            `${inputName} must have 'float32' dtype, but has '${dx.dtype}'`);\n      }\n      const x = node.inputs[inputName];\n      if (!util.arraysEqual(dx.shape, x.shape)) {\n        throw new Error(\n            `Error in gradient for op ${\n                node.kernelName}. The gradient of input ` +\n            `'${inputName}' has shape '${dx.shape}', which does not match ` +\n            `the shape of the input '${x.shape}'`);\n      }\n\n      if (tensorAccumulatedGradientMap[x.id] == null) {\n        tensorAccumulatedGradientMap[x.id] = dx;\n      } else {\n        const curGradient = tensorAccumulatedGradientMap[x.id];\n        tensorAccumulatedGradientMap[x.id] = curGradient.add(dx);\n        curGradient.dispose();\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport function isMobile(): boolean {\n  // tslint:disable-next-line:no-any\n  const a = navigator.userAgent || navigator.vendor || (window as any).opera;\n  // tslint:disable-next-line:max-line-length\n  return /(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i\n             .test(a) ||\n      // tslint:disable-next-line:max-line-length\n      /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i\n          .test(a.substr(0, 4));\n}\n\nexport function isBrowser(): boolean {\n  return (typeof window !== 'undefined' && window.document != null) ||\n      //@ts-ignore\n      (typeof WorkerGlobalScope !== 'undefined');\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport * as device_util from './device_util';\nimport {env} from './environment';\n\nconst ENV = env();\n\n/**\n * This file contains environment-related flag registrations.\n */\n\n/** Whether to enable debug mode. */\nENV.registerFlag('DEBUG', () => false, debugValue => {\n  if (debugValue) {\n    console.warn(\n        'Debugging mode is ON. The output of every math call will ' +\n        'be downloaded to CPU and checked for NaNs. ' +\n        'This significantly impacts performance.');\n  }\n});\n\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag('IS_BROWSER', () => device_util.isBrowser());\n\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag(\n    'IS_NODE',\n    () => (typeof process !== 'undefined') &&\n        (typeof process.versions !== 'undefined') &&\n        (typeof process.versions.node !== 'undefined'));\n\n/** Whether this browser is Chrome. */\nENV.registerFlag(\n    'IS_CHROME',\n    () => typeof navigator !== 'undefined' && navigator != null &&\n        navigator.userAgent != null && /Chrome/.test(navigator.userAgent) &&\n        /Google Inc/.test(navigator.vendor));\n\n/**\n * True when the environment is \"production\" where we disable safety checks\n * to gain performance.\n */\nENV.registerFlag('PROD', () => false);\n\n/**\n * Whether to do sanity checks when inferring a shape from user-provided\n * values, used when creating a new tensor.\n */\nENV.registerFlag(\n    'TENSORLIKE_CHECK_SHAPE_CONSISTENCY', () => ENV.getBool('DEBUG'));\n\n/** Whether deprecation warnings are enabled. */\nENV.registerFlag('DEPRECATION_WARNINGS_ENABLED', () => true);\n\n/** True if running unit tests. */\nENV.registerFlag('IS_TEST', () => false);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nconst contexts: {[key: string]: WebGLRenderingContext} = {};\n\nconst WEBGL_ATTRIBUTES: WebGLContextAttributes = {\n  alpha: false,\n  antialias: false,\n  premultipliedAlpha: false,\n  preserveDrawingBuffer: false,\n  depth: false,\n  stencil: false,\n  failIfMajorPerformanceCaveat: true\n};\n\nexport function setWebGLContext(\n    webGLVersion: number, gl: WebGLRenderingContext) {\n  contexts[webGLVersion] = gl;\n}\n\nexport function getWebGLContext(webGLVersion: number): WebGLRenderingContext {\n  if (!(webGLVersion in contexts)) {\n    contexts[webGLVersion] = getWebGLRenderingContext(webGLVersion);\n  }\n  const gl = contexts[webGLVersion];\n  if (gl.isContextLost()) {\n    delete contexts[webGLVersion];\n    return getWebGLContext(webGLVersion);\n  }\n\n  gl.disable(gl.DEPTH_TEST);\n  gl.disable(gl.STENCIL_TEST);\n  gl.disable(gl.BLEND);\n  gl.disable(gl.DITHER);\n  gl.disable(gl.POLYGON_OFFSET_FILL);\n  gl.disable(gl.SAMPLE_COVERAGE);\n  gl.enable(gl.SCISSOR_TEST);\n  gl.enable(gl.CULL_FACE);\n  gl.cullFace(gl.BACK);\n\n  return contexts[webGLVersion];\n}\n\nfunction createCanvas(webGLVersion: number) {\n  if (typeof OffscreenCanvas !== 'undefined' && webGLVersion === 2) {\n    return new OffscreenCanvas(300, 150);\n  } else if (typeof document !== 'undefined') {\n    return document.createElement('canvas');\n  } else {\n    throw new Error('Cannot create a canvas in this context');\n  }\n}\n\nfunction getWebGLRenderingContext(webGLVersion: number): WebGLRenderingContext {\n  if (webGLVersion !== 1 && webGLVersion !== 2) {\n    throw new Error('Cannot get WebGL rendering context, WebGL is disabled.');\n  }\n  const canvas = createCanvas(webGLVersion);\n\n  canvas.addEventListener('webglcontextlost', (ev: Event) => {\n    ev.preventDefault();\n    delete contexts[webGLVersion];\n  }, false);\n  if (webGLVersion === 1) {\n    return (canvas.getContext('webgl', WEBGL_ATTRIBUTES) ||\n            canvas.getContext('experimental-webgl', WEBGL_ATTRIBUTES)) as\n        WebGLRenderingContext;\n  }\n  return canvas.getContext('webgl2', WEBGL_ATTRIBUTES) as WebGLRenderingContext;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {DataId, Tensor} from '../../tensor';\nimport {BackendValues, DataType} from '../../types';\nimport * as util from '../../util';\n\nexport enum PackingScheme {\n  /**\n   * All values in a single texel are densely packed without any constraints.\n   *\n   * This is how the shader encodes a tensor with shape = [2, 3, 4]\n   * (indices are [batch, row, col]).\n   *\n   * 000|001   010|011   020|021\n   * -------   -------   -------\n   * 002|003   012|013   022|023\n   *\n   * 100|101   110|111   120|121\n   * -------   -------   -------\n   * 102|103   112|113   122|123\n   *\n   */\n  DENSE,\n\n  /**\n   * Single texels contain only values from the same batch, and from adjacent\n   * rows and columns.\n   *\n   * This is how the shader encodes a tensor with shape = [2, 3, 5]\n   * (indices are [batch, row, col]).\n   *\n   * 000|001   002|003   004|xxx   020|021   022|023   024|xxx\n   * -------   -------   -------   -------   -------   -------\n   * 010|011   012|013   014|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n   *\n   * 100|101   102|103   104|xxx   120|121   122|123   124|xxx\n   * -------   -------   -------   -------   -------   -------\n   * 110|111   112|113   114|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n   *\n   */\n  SHARED_BATCH\n}\n\nexport enum TextureUsage {\n  RENDER,\n  UPLOAD,\n  PIXELS,\n  DOWNLOAD\n}\n\nexport enum PhysicalTextureType {\n  UNPACKED_FLOAT16,\n  UNPACKED_FLOAT32,\n  PACKED_4X1_UNSIGNED_BYTE,\n  PACKED_2X2_FLOAT32,\n  PACKED_2X2_FLOAT16\n}\n\nexport interface TextureData {\n  // Required.\n  shape: number[];\n  dtype: DataType;\n\n  // Optional.\n  values?: BackendValues;\n  texture?: WebGLTexture;\n  // For complex numbers, the real and imaginary parts are stored as their own\n  // individual tensors, with a parent joining the two with the\n  // complexTensors field. When this is defined, texture will be null.\n  complexTensors?: {real: Tensor, imag: Tensor};\n  /** [rows, columns] shape of the texture. */\n  texShape?: [number, number];\n  usage?: TextureUsage;\n  isPacked?: boolean;\n\n  // Available when the tensor has been sliced.\n  slice?: {\n    // Offset in the 'flat index' space.\n    flatOffset: number;\n    // Used for counting how many sliced tensors point to the same texture.\n    origDataId: DataId;\n  };\n}\n\nexport function getUnpackedMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [columns, rows];\n}\n\nexport function getUnpackedArraySizeFromMatrixSize(\n    matrixSize: number, channelsPerTexture: number): number {\n  return matrixSize * channelsPerTexture;\n}\n\nexport function getColorMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [columns * 4, rows];\n}\n\n/**\n * Get shape for densely packed RGBA texture.\n */\nexport function getDenseTexShape(shape: number[]): [number, number] {\n  const size = util.sizeFromShape(shape);\n  const texelsNeeded = Math.ceil(size / 4);\n  return util.sizeToSquarishShape(texelsNeeded);\n}\n\nexport function getMatrixSizeFromUnpackedArraySize(\n    unpackedSize: number, channelsPerTexture: number): number {\n  if (unpackedSize % channelsPerTexture !== 0) {\n    throw new Error(\n        `unpackedSize (${unpackedSize}) must be a multiple of ` +\n        `${channelsPerTexture}`);\n  }\n  return unpackedSize / channelsPerTexture;\n}\n\nexport function decodeMatrixFromUnpackedColorRGBAArray(\n    unpackedArray: Float32Array, matrix: Float32Array, channels: number) {\n  const requiredSize = unpackedArray.length * channels / 4;\n  if (matrix.length < requiredSize) {\n    throw new Error(\n        `matrix length (${matrix.length}) must be >= ${requiredSize}`);\n  }\n  let dst = 0;\n  for (let src = 0; src < unpackedArray.length; src += 4) {\n    for (let c = 0; c < channels; c++) {\n      matrix[dst++] = unpackedArray[src + c];\n    }\n  }\n}\n\nexport function getPackedMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [\n    Math.max(1, Math.ceil(columns / 2)), Math.max(1, Math.ceil(rows / 2))\n  ];\n}\n\nexport function getPackedRGBAArraySizeFromMatrixShape(\n    rows: number, columns: number): number {\n  const [w, h] = getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return w * h * 4;\n}\n\nexport interface TextureConfig {\n  internalFormatFloat: number;\n  textureFormatFloat: number;\n  internalFormatPackedHalfFloat: number;\n  internalFormatHalfFloat: number;\n  internalFormatPackedFloat: number;\n\n  // The format to use during a gl.readPixels call.\n  downloadTextureFormat: number;\n  // How many channels need to be unpacked after a gl.readPixels call.\n  downloadUnpackNumChannels: number;\n\n  defaultNumChannels: number;\n  textureTypeHalfFloat: number;\n  textureTypeFloat: number;\n}\n\nexport function getTextureConfig(\n    // tslint:disable-next-line:no-any\n    gl: WebGLRenderingContext, textureHalfFloatExtension?: any): TextureConfig {\n  // tslint:disable-next-line:no-any\n  const glany = gl as any;\n\n  let internalFormatFloat: number;\n  let internalFormatHalfFloat: number;\n  let internalFormatPackedHalfFloat: number;\n  let internalFormatPackedFloat: number;\n  let textureFormatFloat: number;\n\n  let downloadTextureFormat: number;\n  let downloadUnpackNumChannels: number;\n\n  let defaultNumChannels: number;\n  let textureTypeHalfFloat: number;\n  let textureTypeFloat: number;\n\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    internalFormatFloat = glany.R32F;\n    internalFormatHalfFloat = glany.R16F;\n    internalFormatPackedHalfFloat = glany.RGBA16F;\n    internalFormatPackedFloat = glany.RGBA32F;\n    textureFormatFloat = glany.RED;\n    downloadUnpackNumChannels = 4;\n    defaultNumChannels = 1;\n    textureTypeHalfFloat = glany.HALF_FLOAT;\n    textureTypeFloat = glany.FLOAT;\n  } else {\n    internalFormatFloat = gl.RGBA;\n    internalFormatHalfFloat = gl.RGBA;\n    internalFormatPackedHalfFloat = gl.RGBA;\n    internalFormatPackedFloat = glany.RGBA;\n    textureFormatFloat = gl.RGBA;\n    downloadUnpackNumChannels = 4;\n    defaultNumChannels = 4;\n    textureTypeHalfFloat = textureHalfFloatExtension != null ?\n        textureHalfFloatExtension.HALF_FLOAT_OES :\n        null;\n    textureTypeFloat = gl.FLOAT;\n  }\n  downloadTextureFormat = gl.RGBA;\n\n  return {\n    internalFormatFloat,\n    internalFormatHalfFloat,\n    internalFormatPackedHalfFloat,\n    internalFormatPackedFloat,\n    textureFormatFloat,\n    downloadTextureFormat,\n    downloadUnpackNumChannels,\n    defaultNumChannels,\n    textureTypeHalfFloat,\n    textureTypeFloat\n  };\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport * as util from '../../util';\n\nimport {getWebGLContext} from './canvas_util';\nimport {getTextureConfig} from './tex_util';\n\nexport function callAndCheck<T>(\n    gl: WebGLRenderingContext, debugMode: boolean, func: () => T): T {\n  const returnValue = func();\n  if (debugMode) {\n    checkWebGLError(gl);\n  }\n  return returnValue;\n}\n\nfunction checkWebGLError(gl: WebGLRenderingContext) {\n  const error = gl.getError();\n  if (error !== gl.NO_ERROR) {\n    throw new Error('WebGL Error: ' + getWebGLErrorMessage(gl, error));\n  }\n}\n\n// https://en.wikipedia.org/wiki/Half-precision_floating-point_format\nconst MIN_FLOAT16 = 5.96e-8;\nconst MAX_FLOAT16 = 65504;\n\nexport function canBeRepresented(num: number): boolean {\n  if (env().getBool('WEBGL_RENDER_FLOAT32_ENABLED') || num === 0 ||\n      (MIN_FLOAT16 < Math.abs(num) && Math.abs(num) < MAX_FLOAT16)) {\n    return true;\n  }\n  return false;\n}\n\nexport function getWebGLErrorMessage(\n    gl: WebGLRenderingContext, status: number): string {\n  switch (status) {\n    case gl.NO_ERROR:\n      return 'NO_ERROR';\n    case gl.INVALID_ENUM:\n      return 'INVALID_ENUM';\n    case gl.INVALID_VALUE:\n      return 'INVALID_VALUE';\n    case gl.INVALID_OPERATION:\n      return 'INVALID_OPERATION';\n    case gl.INVALID_FRAMEBUFFER_OPERATION:\n      return 'INVALID_FRAMEBUFFER_OPERATION';\n    case gl.OUT_OF_MEMORY:\n      return 'OUT_OF_MEMORY';\n    case gl.CONTEXT_LOST_WEBGL:\n      return 'CONTEXT_LOST_WEBGL';\n    default:\n      return `Unknown error code ${status}`;\n  }\n}\n\nexport function getExtensionOrThrow(\n    gl: WebGLRenderingContext, debug: boolean, extensionName: string): {} {\n  return throwIfNull<{}>(\n      gl, debug, () => gl.getExtension(extensionName),\n      'Extension \"' + extensionName + '\" not supported on this browser.');\n}\n\nexport function createVertexShader(\n    gl: WebGLRenderingContext, debug: boolean,\n    vertexShaderSource: string): WebGLShader {\n  const vertexShader: WebGLShader = throwIfNull<WebGLShader>(\n      gl, debug, () => gl.createShader(gl.VERTEX_SHADER),\n      'Unable to create vertex WebGLShader.');\n  callAndCheck(\n      gl, debug, () => gl.shaderSource(vertexShader, vertexShaderSource));\n  callAndCheck(gl, debug, () => gl.compileShader(vertexShader));\n  if (gl.getShaderParameter(vertexShader, gl.COMPILE_STATUS) === false) {\n    console.log(gl.getShaderInfoLog(vertexShader));\n    throw new Error('Failed to compile vertex shader.');\n  }\n  return vertexShader;\n}\n\nexport function createFragmentShader(\n    gl: WebGLRenderingContext, debug: boolean,\n    fragmentShaderSource: string): WebGLShader {\n  const fragmentShader: WebGLShader = throwIfNull<WebGLShader>(\n      gl, debug, () => gl.createShader(gl.FRAGMENT_SHADER),\n      'Unable to create fragment WebGLShader.');\n  callAndCheck(\n      gl, debug, () => gl.shaderSource(fragmentShader, fragmentShaderSource));\n  callAndCheck(gl, debug, () => gl.compileShader(fragmentShader));\n  if (gl.getShaderParameter(fragmentShader, gl.COMPILE_STATUS) === false) {\n    logShaderSourceAndInfoLog(\n        fragmentShaderSource, gl.getShaderInfoLog(fragmentShader));\n    throw new Error('Failed to compile fragment shader.');\n  }\n  return fragmentShader;\n}\n\nconst lineNumberRegex = /ERROR: [0-9]+:([0-9]+):/g;\nfunction logShaderSourceAndInfoLog(\n    shaderSource: string, shaderInfoLog: string) {\n  const lineNumberRegexResult = lineNumberRegex.exec(shaderInfoLog);\n  if (lineNumberRegexResult == null) {\n    console.log(`Couldn't parse line number in error: ${shaderInfoLog}`);\n    console.log(shaderSource);\n    return;\n  }\n\n  const lineNumber = +lineNumberRegexResult[1];\n\n  const shaderLines = shaderSource.split('\\n');\n  const pad = shaderLines.length.toString().length + 2;\n  const linesWithLineNumbers = shaderLines.map(\n      (line, lineNumber) =>\n          util.rightPad((lineNumber + 1).toString(), pad) + line);\n  let maxLineLength = 0;\n  for (let i = 0; i < linesWithLineNumbers.length; i++) {\n    maxLineLength = Math.max(linesWithLineNumbers[i].length, maxLineLength);\n  }\n\n  const beforeErrorLines = linesWithLineNumbers.slice(0, lineNumber - 1);\n  const errorLine = linesWithLineNumbers.slice(lineNumber - 1, lineNumber);\n  const afterErrorLines = linesWithLineNumbers.slice(lineNumber);\n\n  console.log(beforeErrorLines.join('\\n'));\n  console.log(shaderInfoLog.split('\\n')[0]);\n  console.log(\n      `%c ${util.rightPad(errorLine[0], maxLineLength)}`,\n      'border:1px solid red; background-color:#e3d2d2; color:#a61717');\n  console.log(afterErrorLines.join('\\n'));\n}\n\nexport function createProgram(\n    gl: WebGLRenderingContext, debug: boolean): WebGLProgram {\n  return throwIfNull<WebGLProgram>(\n      gl, debug, () => gl.createProgram(), 'Unable to create WebGLProgram.');\n}\n\nexport function linkProgram(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram) {\n  callAndCheck(gl, debug, () => gl.linkProgram(program));\n  if (gl.getProgramParameter(program, gl.LINK_STATUS) === false) {\n    console.log(gl.getProgramInfoLog(program));\n    throw new Error('Failed to link vertex and fragment shaders.');\n  }\n}\n\nexport function validateProgram(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram) {\n  callAndCheck(gl, debug, () => gl.validateProgram(program));\n  if (gl.getProgramParameter(program, gl.VALIDATE_STATUS) === false) {\n    console.log(gl.getProgramInfoLog(program));\n    throw new Error('Shader program validation failed.');\n  }\n}\n\nexport function createStaticVertexBuffer(\n    gl: WebGLRenderingContext, debug: boolean,\n    data: Float32Array): WebGLBuffer {\n  const buffer: WebGLBuffer = throwIfNull<WebGLBuffer>(\n      gl, debug, () => gl.createBuffer(), 'Unable to create WebGLBuffer');\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug, () => gl.bufferData(gl.ARRAY_BUFFER, data, gl.STATIC_DRAW));\n  return buffer;\n}\n\nexport function createStaticIndexBuffer(\n    gl: WebGLRenderingContext, debug: boolean, data: Uint16Array): WebGLBuffer {\n  const buffer: WebGLBuffer = throwIfNull<WebGLBuffer>(\n      gl, debug, () => gl.createBuffer(), 'Unable to create WebGLBuffer');\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.bufferData(gl.ELEMENT_ARRAY_BUFFER, data, gl.STATIC_DRAW));\n  return buffer;\n}\n\nexport function getNumChannels(): number {\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    return 1;\n  }\n  return 4;\n}\n\nexport function createTexture(\n    gl: WebGLRenderingContext, debug: boolean): WebGLTexture {\n  return throwIfNull<WebGLTexture>(\n      gl, debug, () => gl.createTexture(), 'Unable to create WebGLTexture.');\n}\n\nexport function validateTextureSize(width: number, height: number) {\n  const maxTextureSize = env().getNumber('WEBGL_MAX_TEXTURE_SIZE');\n  if ((width <= 0) || (height <= 0)) {\n    const requested = `[${width}x${height}]`;\n    throw new Error('Requested texture size ' + requested + ' is invalid.');\n  }\n  if ((width > maxTextureSize) || (height > maxTextureSize)) {\n    const requested = `[${width}x${height}]`;\n    const max = `[${maxTextureSize}x${maxTextureSize}]`;\n    throw new Error(\n        'Requested texture size ' + requested +\n        ' greater than WebGL maximum on this browser / GPU ' + max + '.');\n  }\n}\n\nexport function createFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLFramebuffer {\n  return throwIfNull<WebGLFramebuffer>(\n      gl, debug, () => gl.createFramebuffer(),\n      'Unable to create WebGLFramebuffer.');\n}\n\nexport function bindVertexBufferToProgramAttribute(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    attribute: string, buffer: WebGLBuffer, arrayEntriesPerItem: number,\n    itemStrideInBytes: number, itemOffsetInBytes: number): boolean {\n  const loc = gl.getAttribLocation(program, attribute);\n  if (loc === -1) {\n    // The GPU compiler decided to strip out this attribute because it's unused,\n    // thus no need to bind.\n    return false;\n  }\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.vertexAttribPointer(\n          loc, arrayEntriesPerItem, gl.FLOAT, false, itemStrideInBytes,\n          itemOffsetInBytes));\n  callAndCheck(gl, debug, () => gl.enableVertexAttribArray(loc));\n  return true;\n}\n\nexport function bindTextureUnit(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    textureUnit: number) {\n  validateTextureUnit(gl, textureUnit);\n  callAndCheck(gl, debug, () => gl.activeTexture(gl.TEXTURE0 + textureUnit));\n  callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n}\n\nexport function unbindTextureUnit(\n    gl: WebGLRenderingContext, debug: boolean, textureUnit: number) {\n  validateTextureUnit(gl, textureUnit);\n  callAndCheck(gl, debug, () => gl.activeTexture(gl.TEXTURE0 + textureUnit));\n  callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function getProgramUniformLocationOrThrow(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    uniformName: string): WebGLUniformLocation {\n  return throwIfNull<WebGLUniformLocation>(\n      gl, debug, () => gl.getUniformLocation(program, uniformName),\n      'uniform \"' + uniformName + '\" not present in program.');\n}\n\nexport function getProgramUniformLocation(\n    gl: WebGLRenderingContext, program: WebGLProgram,\n    uniformName: string): WebGLUniformLocation {\n  return gl.getUniformLocation(program, uniformName);\n}\n\nexport function bindTextureToProgramUniformSampler(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    texture: WebGLTexture, uniformSamplerLocation: WebGLUniformLocation,\n    textureUnit: number) {\n  callAndCheck(\n      gl, debug, () => bindTextureUnit(gl, debug, texture, textureUnit));\n  callAndCheck(\n      gl, debug, () => gl.uniform1i(uniformSamplerLocation, textureUnit));\n}\n\nexport function bindCanvasToFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean) {\n  callAndCheck(gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, null));\n  callAndCheck(\n      gl, debug, () => gl.viewport(0, 0, gl.canvas.width, gl.canvas.height));\n  callAndCheck(\n      gl, debug, () => gl.scissor(0, 0, gl.canvas.width, gl.canvas.height));\n}\n\nexport function bindColorTextureToFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    framebuffer: WebGLFramebuffer) {\n  callAndCheck(\n      gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.framebufferTexture2D(\n          gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0));\n}\n\nexport function unbindColorTextureFromFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean, framebuffer: WebGLFramebuffer) {\n  callAndCheck(\n      gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.framebufferTexture2D(\n          gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, null, 0));\n}\n\nexport function validateFramebuffer(gl: WebGLRenderingContext) {\n  const status = gl.checkFramebufferStatus(gl.FRAMEBUFFER);\n  if (status !== gl.FRAMEBUFFER_COMPLETE) {\n    throw new Error(\n        'Error binding framebuffer: ' + getFramebufferErrorMessage(gl, status));\n  }\n}\n\nexport function getFramebufferErrorMessage(\n    gl: WebGLRenderingContext, status: number): string {\n  switch (status) {\n    case gl.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:\n      return 'FRAMEBUFFER_INCOMPLETE_ATTACHMENT';\n    case gl.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:\n      return 'FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT';\n    case gl.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:\n      return 'FRAMEBUFFER_INCOMPLETE_DIMENSIONS';\n    case gl.FRAMEBUFFER_UNSUPPORTED:\n      return 'FRAMEBUFFER_UNSUPPORTED';\n    default:\n      return `unknown error ${status}`;\n  }\n}\n\nfunction throwIfNull<T>(\n    gl: WebGLRenderingContext, debug: boolean, returnTOrNull: () => T | null,\n    failureMessage: string): T {\n  const tOrNull: T|null = callAndCheck(gl, debug, () => returnTOrNull());\n  if (tOrNull == null) {\n    throw new Error(failureMessage);\n  }\n  return tOrNull;\n}\n\nfunction validateTextureUnit(gl: WebGLRenderingContext, textureUnit: number) {\n  const maxTextureUnit = gl.MAX_COMBINED_TEXTURE_IMAGE_UNITS - 1;\n  const glTextureUnit = textureUnit + gl.TEXTURE0;\n  if (glTextureUnit < gl.TEXTURE0 || glTextureUnit > maxTextureUnit) {\n    const textureUnitRange = `[gl.TEXTURE0, gl.TEXTURE${maxTextureUnit}]`;\n    throw new Error(`textureUnit must be in ${textureUnitRange}.`);\n  }\n}\n\nexport function getBatchDim(shape: number[], dimsToSkip = 2): number {\n  return util.sizeFromShape(shape.slice(0, shape.length - dimsToSkip));\n}\n\nexport function getRowsCols(shape: number[]): [number, number] {\n  if (shape.length === 0) {\n    throw Error('Cannot get rows and columns of an empty shape array.');\n  }\n\n  return [\n    shape.length > 1 ? shape[shape.length - 2] : 1, shape[shape.length - 1]\n  ];\n}\n\nexport function getShapeAs3D(shape: number[]): [number, number, number] {\n  let shapeAs3D: [number, number, number] = [1, 1, 1];\n  const isScalar = shape.length === 0 || (shape.length === 1 && shape[0] === 1);\n  if (!isScalar) {\n    shapeAs3D =\n        [getBatchDim(shape), ...getRowsCols(shape)] as [number, number, number];\n  }\n  return shapeAs3D;\n}\n\nexport function getTextureShapeFromLogicalShape(\n    logShape: number[], isPacked = false): [number, number] {\n  let maxTexSize = env().getNumber('WEBGL_MAX_TEXTURE_SIZE');\n  if (isPacked) {\n    maxTexSize = maxTexSize * 2;\n\n    // This logic ensures we accurately count the number of packed texels needed\n    // to accommodate the tensor. We can only pack values in the same texel if\n    // they are from adjacent pairs of rows/cols within the same batch. So if a\n    // tensor has 3 rows, we pretend it has 4 rows in order to account for the\n    // fact that the texels containing the third row are half empty.\n    logShape = logShape.map(\n        (d, i) => i >= logShape.length - 2 ?\n            util.nearestLargerEven(logShape[i]) :\n            logShape[i]);\n\n    // Packed texture height is at least 2 (the channel height of a single\n    // texel).\n    if (logShape.length === 1) {\n      logShape = [2, logShape[0]];\n    }\n  }\n\n  // If logical shape is 2, we don't squeeze, since we want to match physical.\n  if (logShape.length !== 2) {\n    const squeezeResult = util.squeezeShape(logShape);\n    logShape = squeezeResult.newShape;\n  }\n\n  let size = util.sizeFromShape(logShape);\n  if (logShape.length <= 1 && size <= maxTexSize) {\n    return [1, size];\n  } else if (\n      logShape.length === 2 && logShape[0] <= maxTexSize &&\n      logShape[1] <= maxTexSize) {\n    return logShape as [number, number];\n  } else if (\n      logShape.length === 3 && logShape[0] * logShape[1] <= maxTexSize &&\n      logShape[2] <= maxTexSize) {\n    return [logShape[0] * logShape[1], logShape[2]];\n  } else if (\n      logShape.length === 3 && logShape[0] <= maxTexSize &&\n      logShape[1] * logShape[2] <= maxTexSize) {\n    return [logShape[0], logShape[1] * logShape[2]];\n  } else if (\n      logShape.length === 4 &&\n      logShape[0] * logShape[1] * logShape[2] <= maxTexSize &&\n      logShape[3] <= maxTexSize) {\n    return [logShape[0] * logShape[1] * logShape[2], logShape[3]];\n  } else if (\n      logShape.length === 4 && logShape[0] <= maxTexSize &&\n      logShape[1] * logShape[2] * logShape[3] <= maxTexSize) {\n    return [logShape[0], logShape[1] * logShape[2] * logShape[3]];\n  } else {\n    if (isPacked) {\n      // For packed textures size equals the number of channels required to\n      // accommodate the texture data. However in order to squarify such that\n      // inner dimensions stay even, we rewrite size to equal the number of\n      // texels. Then in the return statement we rehydrate the squarified\n      // dimensions to channel units.\n\n      const batchDim = getBatchDim(logShape);\n      let rows = 2, cols = 2;\n      if (logShape.length) {\n        [rows, cols] = getRowsCols(logShape);\n      }\n      size = batchDim * (rows / 2) * (cols / 2);\n      return util.sizeToSquarishShape(size).map(d => d * 2) as [number, number];\n    }\n    return util.sizeToSquarishShape(size);\n  }\n}\n\nfunction isEven(n: number): boolean {\n  return n % 2 === 0;\n}\n\n/**\n * This determines whether reshaping a packed texture requires rearranging\n * the data within the texture, assuming 2x2 packing.\n */\nexport function isReshapeFree(shape1: number[], shape2: number[]): boolean {\n  shape1 = shape1.slice(-2);\n  shape2 = shape2.slice(-2);\n\n  if (util.arraysEqual(shape1, shape2)) {\n    return true;\n  }\n\n  if (!shape1.length || !shape2.length) {  // One of the shapes is a scalar.\n    return true;\n  }\n\n  if (shape1[0] === 0 || shape1[1] === 0 || shape2[0] === 0 ||\n      shape2[1] === 0) {\n    return true;\n  }\n\n  if (shape1.length !== shape2.length) {  // One of the shapes is a vector.\n    const shape1Cols = shape1.slice(-1)[0];\n    const shape2Cols = shape2.slice(-1)[0];\n    if (shape1Cols === shape2Cols) {\n      return true;\n    }\n\n    if (isEven(shape1Cols) && isEven(shape2Cols) &&\n        (shape1[0] === 1 || shape2[0] === 1)) {\n      return true;\n    }\n  }\n  return shape1[1] === shape2[1] && isEven(shape1[0]) && isEven(shape2[0]);\n}\n\n// We cache webgl params because the environment gets reset between\n// unit tests and we don't want to constantly query the WebGLContext for\n// MAX_TEXTURE_SIZE.\nlet MAX_TEXTURE_SIZE: number;\nlet MAX_TEXTURES_IN_SHADER: number;\n\nexport function getWebGLMaxTextureSize(webGLVersion: number): number {\n  if (MAX_TEXTURE_SIZE == null) {\n    const gl = getWebGLContext(webGLVersion);\n    MAX_TEXTURE_SIZE = gl.getParameter(gl.MAX_TEXTURE_SIZE);\n  }\n  return MAX_TEXTURE_SIZE;\n}\n\nexport function resetMaxTextureSize() {\n  MAX_TEXTURE_SIZE = null;\n}\nexport function resetMaxTexturesInShader() {\n  MAX_TEXTURES_IN_SHADER = null;\n}\n\nexport function getMaxTexturesInShader(webGLVersion: number): number {\n  if (MAX_TEXTURES_IN_SHADER == null) {\n    const gl = getWebGLContext(webGLVersion);\n    MAX_TEXTURES_IN_SHADER = gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS);\n  }\n  // We cap at 16 to avoid spurious runtime \"memory exhausted\" error.\n  return Math.min(16, MAX_TEXTURES_IN_SHADER);\n}\n\nexport function getWebGLDisjointQueryTimerVersion(webGLVersion: number):\n    number {\n  if (webGLVersion === 0) {\n    return 0;\n  }\n\n  let queryTimerVersion: number;\n  const gl = getWebGLContext(webGLVersion);\n\n  if (hasExtension(gl, 'EXT_disjoint_timer_query_webgl2') &&\n      webGLVersion === 2) {\n    queryTimerVersion = 2;\n  } else if (hasExtension(gl, 'EXT_disjoint_timer_query')) {\n    queryTimerVersion = 1;\n  } else {\n    queryTimerVersion = 0;\n  }\n  return queryTimerVersion;\n}\n\nexport function hasExtension(gl: WebGLRenderingContext, extensionName: string) {\n  const ext = gl.getExtension(extensionName);\n  return ext != null;\n}\n\nexport function isWebGLVersionEnabled(webGLVersion: 1|2) {\n  try {\n    const gl = getWebGLContext(webGLVersion);\n    if (gl != null) {\n      return true;\n    }\n  } catch (e) {\n    return false;\n  }\n  return false;\n}\n\nexport function isCapableOfRenderingToFloatTexture(webGLVersion: number):\n    boolean {\n  if (webGLVersion === 0) {\n    return false;\n  }\n\n  const gl = getWebGLContext(webGLVersion);\n\n  if (webGLVersion === 1) {\n    if (!hasExtension(gl, 'OES_texture_float')) {\n      return false;\n    }\n  } else {\n    if (!hasExtension(gl, 'EXT_color_buffer_float')) {\n      return false;\n    }\n  }\n\n  const isFrameBufferComplete = createFloatTextureAndBindToFramebuffer(gl);\n  return isFrameBufferComplete;\n}\n\n/**\n * Check if we can download values from a float/half-float texture.\n *\n * Note that for performance reasons we use binding a texture to a framebuffer\n * as a proxy for ability to download float values later using readPixels. The\n * texture params of this texture will not match those in readPixels exactly\n * but if we are unable to bind some kind of float texture to the frameBuffer\n * then we definitely will not be able to read float values from it.\n */\nexport function isDownloadFloatTextureEnabled(webGLVersion: number): boolean {\n  if (webGLVersion === 0) {\n    return false;\n  }\n\n  const gl = getWebGLContext(webGLVersion);\n\n  if (webGLVersion === 1) {\n    if (!hasExtension(gl, 'OES_texture_float')) {\n      return false;\n    }\n    if (!hasExtension(gl, 'WEBGL_color_buffer_float')) {\n      return false;\n    }\n  } else {\n    if (hasExtension(gl, 'EXT_color_buffer_float')) {\n      return createFloatTextureAndBindToFramebuffer(gl);\n    }\n\n    const COLOR_BUFFER_HALF_FLOAT = 'EXT_color_buffer_half_float';\n    if (hasExtension(gl, COLOR_BUFFER_HALF_FLOAT)) {\n      const textureHalfFloatExtension =\n          gl.getExtension(COLOR_BUFFER_HALF_FLOAT);\n      return createHalfFloatTextureAndBindToFramebuffer(\n          gl, textureHalfFloatExtension);\n    }\n\n    return false;\n  }\n\n  const isFrameBufferComplete = createFloatTextureAndBindToFramebuffer(gl);\n  return isFrameBufferComplete;\n}\n\nfunction createFloatTextureAndBindToFramebuffer(gl: WebGLRenderingContext):\n    boolean {\n  const texConfig = getTextureConfig(gl);\n\n  const texture = gl.createTexture();\n  gl.bindTexture(gl.TEXTURE_2D, texture);\n\n  const width = 1;\n  const height = 1;\n  gl.texImage2D(\n      gl.TEXTURE_2D, 0, texConfig.internalFormatFloat, width, height, 0,\n      texConfig.textureFormatFloat, texConfig.textureTypeFloat, null);\n\n  const frameBuffer = gl.createFramebuffer();\n  gl.bindFramebuffer(gl.FRAMEBUFFER, frameBuffer);\n  gl.framebufferTexture2D(\n      gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n\n  const isFrameBufferComplete =\n      gl.checkFramebufferStatus(gl.FRAMEBUFFER) === gl.FRAMEBUFFER_COMPLETE;\n\n  gl.bindTexture(gl.TEXTURE_2D, null);\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n  gl.deleteTexture(texture);\n  gl.deleteFramebuffer(frameBuffer);\n\n  return isFrameBufferComplete;\n}\n\nfunction createHalfFloatTextureAndBindToFramebuffer(\n    // tslint:disable-next-line:no-any\n    gl: WebGLRenderingContext, textureHalfFloatExtension: any): boolean {\n  const texConfig = getTextureConfig(gl, textureHalfFloatExtension);\n  const texture = gl.createTexture();\n  gl.bindTexture(gl.TEXTURE_2D, texture);\n\n  const width = 1;\n  const height = 1;\n  gl.texImage2D(\n      gl.TEXTURE_2D, 0, texConfig.internalFormatHalfFloat, width, height, 0,\n      texConfig.textureFormatFloat, texConfig.textureTypeHalfFloat, null);\n\n  const frameBuffer = gl.createFramebuffer();\n  gl.bindFramebuffer(gl.FRAMEBUFFER, frameBuffer);\n  gl.framebufferTexture2D(\n      gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n\n  const isFrameBufferComplete =\n      gl.checkFramebufferStatus(gl.FRAMEBUFFER) === gl.FRAMEBUFFER_COMPLETE;\n\n  gl.bindTexture(gl.TEXTURE_2D, null);\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n  gl.deleteTexture(texture);\n  gl.deleteFramebuffer(frameBuffer);\n\n  return isFrameBufferComplete;\n}\n\nexport function isWebGLFenceEnabled(webGLVersion: number) {\n  if (webGLVersion !== 2) {\n    return false;\n  }\n  const gl = getWebGLContext(webGLVersion);\n\n  // tslint:disable-next-line:no-any\n  const isEnabled = (gl as any).fenceSync != null;\n  return isEnabled;\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as device_util from '../../device_util';\nimport {env} from '../../environment';\n\nimport * as webgl_util from './webgl_util';\n\nconst ENV = env();\n\n/**\n * This file contains WebGL-specific flag registrations.\n */\n\n/**\n * True if WebGL is supported.\n */\nENV.registerFlag('HAS_WEBGL', () => ENV.getNumber('WEBGL_VERSION') > 0);\n\n/** 0: No WebGL, 1: WebGL 1.0, 2: WebGL 2.0. */\nENV.registerFlag('WEBGL_VERSION', () => {\n  if (webgl_util.isWebGLVersionEnabled(2)) {\n    return 2;\n  } else if (webgl_util.isWebGLVersionEnabled(1)) {\n    return 1;\n  }\n  return 0;\n});\n\nENV.registerFlag(\n    'WEBGL_BUFFER_SUPPORTED', () => ENV.get('WEBGL_VERSION') === 2);\n\n/** Whether the WebGL backend will sometimes forward ops to the CPU. */\nENV.registerFlag('WEBGL_CPU_FORWARD', () => true);\n\n/** Whether the WebGL backend will always use f16 textures for rendering. */\nENV.registerFlag('WEBGL_FORCE_F16_TEXTURES', () => false);\n\n/** Whether to turn all packing related flags on. */\nENV.registerFlag('WEBGL_PACK', () => ENV.getBool('HAS_WEBGL'));\n\n/** Whether we will pack the batchnormalization op. */\nENV.registerFlag('WEBGL_PACK_NORMALIZATION', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack the clip op. */\nENV.registerFlag('WEBGL_PACK_CLIP', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack the depthwise conv op. */\n// TODO: https://github.com/tensorflow/tfjs/issues/1679\nENV.registerFlag('WEBGL_PACK_DEPTHWISECONV', () => false);\n\n/** Whether we will pack binary ops. */\nENV.registerFlag(\n    'WEBGL_PACK_BINARY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack unary ops. */\nENV.registerFlag(\n    'WEBGL_PACK_UNARY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack array ops. */\nENV.registerFlag(\n    'WEBGL_PACK_ARRAY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack image ops. */\nENV.registerFlag(\n    'WEBGL_PACK_IMAGE_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack reduce ops. */\nENV.registerFlag('WEBGL_PACK_REDUCE', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether packed WebGL kernels lazily unpack their outputs. */\nENV.registerFlag('WEBGL_LAZILY_UNPACK', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will use the im2col algorithm to speed up convolutions. */\nENV.registerFlag('WEBGL_CONV_IM2COL', () => ENV.getBool('WEBGL_PACK'));\n\n/** The maximum texture dimension. */\nENV.registerFlag(\n    'WEBGL_MAX_TEXTURE_SIZE',\n    () => webgl_util.getWebGLMaxTextureSize(ENV.getNumber('WEBGL_VERSION')));\n\n/** The maximum texture dimension. */\nENV.registerFlag(\n    'WEBGL_MAX_TEXTURES_IN_SHADER',\n    () => webgl_util.getMaxTexturesInShader(ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * The disjoint_query_timer extension version.\n * 0: disabled, 1: EXT_disjoint_timer_query, 2:\n * EXT_disjoint_timer_query_webgl2.\n * In Firefox with WebGL 2.0,\n * EXT_disjoint_timer_query_webgl2 is not available, so we must use the\n * WebGL 1.0 extension.\n */\nENV.registerFlag('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION', () => {\n  const webGLVersion = ENV.getNumber('WEBGL_VERSION');\n\n  if (webGLVersion === 0) {\n    return 0;\n  }\n  return webgl_util.getWebGLDisjointQueryTimerVersion(webGLVersion);\n});\n\n/**\n * Whether the timer object from the disjoint_query_timer extension gives\n * timing information that is reliable.\n */\nENV.registerFlag(\n    'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE',\n    () => ENV.getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0 &&\n        !device_util.isMobile());\n\n/**\n * Whether the device is physically capable of rendering to float32 textures.\n */\nENV.registerFlag(\n    'WEBGL_RENDER_FLOAT32_CAPABLE',\n    () => webgl_util.isCapableOfRenderingToFloatTexture(\n        ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * Whether rendering to float32 textures is enabled. If disabled, renders to\n * float16 textures.\n */\nENV.registerFlag('WEBGL_RENDER_FLOAT32_ENABLED', () => {\n  return ENV.getBool('WEBGL_FORCE_F16_TEXTURES') ?\n      false :\n      ENV.getBool('WEBGL_RENDER_FLOAT32_CAPABLE');\n});\n\n/**\n * Whether downloading float textures is enabled (16 or 32 bit). If disabled,\n * uses IEEE 754 encoding of the float32 values to 4 uint8 when downloading.\n */\nENV.registerFlag(\n    'WEBGL_DOWNLOAD_FLOAT_ENABLED',\n    () => webgl_util.isDownloadFloatTextureEnabled(\n        ENV.getNumber('WEBGL_VERSION')));\n\n/** Whether the fence API is available. */\nENV.registerFlag(\n    'WEBGL_FENCE_API_ENABLED',\n    () => webgl_util.isWebGLFenceEnabled(ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * Tensors with size <= than this will be uploaded as uniforms, not textures.\n */\nENV.registerFlag('WEBGL_SIZE_UPLOAD_UNIFORM', () => {\n  // Use uniform uploads only when 32bit floats are supported. In\n  // 16bit\n  // environments there are problems with comparing a 16bit texture value\n  // with a 32bit uniform value.\n  const useUniforms = ENV.getBool('WEBGL_RENDER_FLOAT32_ENABLED');\n  return useUniforms ? 4 : 0;\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelBackend} from './backends/backend';\nimport {ENGINE, Engine, MemoryInfo, ProfileInfo, ScopeFn, TimingInfo} from './engine';\nimport {env} from './environment';\n\nimport {Platform} from './platforms/platform';\nimport {setDeprecationWarningFn, Tensor} from './tensor';\nimport {TensorContainer} from './tensor_types';\nimport {getTensorsInContainer} from './tensor_util';\n\n/**\n * Enables production mode which disables correctness checks in favor of\n * performance.\n */\n/** @doc {heading: 'Environment'} */\nexport function enableProdMode(): void {\n  env().set('PROD', true);\n}\n\n/**\n * Enables debug mode which will log information about all executed kernels:\n * the elapsed time of the kernel execution, as well as the rank, shape, and\n * size of the output tensor.\n *\n * Debug mode will significantly slow down your application as it will\n * download the result of every operation to the CPU. This should not be used in\n * production. Debug mode does not affect the timing information of the kernel\n * execution as we do not measure download time in the kernel execution time.\n *\n * See also: `tf.profile`, `tf.memory`.\n */\n/** @doc {heading: 'Environment'} */\nexport function enableDebugMode(): void {\n  env().set('DEBUG', true);\n}\n\n/** Globally disables deprecation warnings */\nexport function disableDeprecationWarnings(): void {\n  env().set('DEPRECATION_WARNINGS_ENABLED', false);\n  console.warn(`TensorFlow.js deprecation warnings have been disabled.`);\n}\n\n/** Warn users about deprecated functionality. */\nexport function deprecationWarn(msg: string) {\n  if (env().getBool('DEPRECATION_WARNINGS_ENABLED')) {\n    console.warn(\n        msg + ' You can disable deprecation warnings with ' +\n        'tf.disableDeprecationWarnings().');\n  }\n}\nsetDeprecationWarningFn(deprecationWarn);\n\n/**\n * Dispose all variables kept in backend engine.\n */\n/** @doc {heading: 'Environment'} */\nexport function disposeVariables(): void {\n  ENGINE.disposeVariables();\n}\n\n/**\n * It returns the global engine that keeps track of all tensors and backends.\n */\n/** @doc {heading: 'Environment'} */\nexport function engine(): Engine {\n  return ENGINE;\n}\n\n/**\n * Returns memory info at the current time in the program. The result is an\n * object with the following properties:\n *\n * - `numBytes`: Number of bytes allocated (undisposed) at this time.\n * - `numTensors`: Number of unique tensors allocated.\n * - `numDataBuffers`: Number of unique data buffers allocated\n *   (undisposed) at this time, which is ≤ the number of tensors\n *   (e.g. `a.reshape(newShape)` makes a new Tensor that shares the same\n *   data buffer with `a`).\n * - `unreliable`: True if the memory usage is unreliable. See `reasons` when\n *    `unreliable` is true.\n * - `reasons`: `string[]`, reasons why the memory is unreliable, present if\n *    `unreliable` is true.\n *\n * WebGL Properties:\n * - `numBytesInGPU`: Number of bytes allocated (undisposed) in the GPU only at\n *     this time.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function memory(): MemoryInfo {\n  return ENGINE.memory();\n}\n\n/**\n * Executes the provided function `f()` and returns a promise that resolves\n * with information about the function's memory use:\n * - `newBytes`: the number of new bytes allocated\n * - `newTensors`: the number of new tensors created\n * - `peakBytes`: the peak number of bytes allocated\n * - `kernels`: an array of objects for each kernel involved that reports\n * their input and output shapes, number of bytes used, and number of new\n * tensors created.\n *\n * ```js\n * const profile = await tf.profile(() => {\n *   const x = tf.tensor1d([1, 2, 3]);\n *   let x2 = x.square();\n *   x2.dispose();\n *   x2 = x.square();\n *   x2.dispose();\n *   return x;\n * });\n *\n * console.log(`newBytes: ${profile.newBytes}`);\n * console.log(`newTensors: ${profile.newTensors}`);\n * console.log(`byte usage over all kernels: ${profile.kernels.map(k =>\n * k.totalBytesSnapshot)}`);\n * ```\n *\n */\n/** @doc {heading: 'Performance', subheading: 'Profile'} */\nexport function profile(f: () => TensorContainer): Promise<ProfileInfo> {\n  return ENGINE.profile(f);\n}\n\n/**\n * Executes the provided function `fn` and after it is executed, cleans up all\n * intermediate tensors allocated by `fn` except those returned by `fn`.\n * `fn` must not return a Promise (async functions not allowed). The returned\n * result can be a complex object.\n *\n * Using this method helps avoid memory leaks. In general, wrap calls to\n * operations in `tf.tidy` for automatic memory cleanup.\n *\n * NOTE: Variables do *not* get cleaned up when inside a tidy(). If you want to\n * dispose variables, please use `tf.disposeVariables` or call dispose()\n * directly on variables.\n *\n * ```js\n * // y = 2 ^ 2 + 1\n * const y = tf.tidy(() => {\n *   // a, b, and one will be cleaned up when the tidy ends.\n *   const one = tf.scalar(1);\n *   const a = tf.scalar(2);\n *   const b = a.square();\n *\n *   console.log('numTensors (in tidy): ' + tf.memory().numTensors);\n *\n *   // The value returned inside the tidy function will return\n *   // through the tidy, in this case to the variable y.\n *   return b.add(one);\n * });\n *\n * console.log('numTensors (outside tidy): ' + tf.memory().numTensors);\n * y.print();\n * ```\n *\n * @param nameOrFn The name of the closure, or the function to execute.\n *     If a name is provided, the 2nd argument should be the function.\n *     If debug mode is on, the timing and the memory usage of the function\n *     will be tracked and displayed on the console using the provided name.\n * @param fn The function to execute.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function tidy<T extends TensorContainer>(\n    nameOrFn: string|ScopeFn<T>, fn?: ScopeFn<T>): T {\n  return ENGINE.tidy(nameOrFn, fn);\n}\n\n/**\n * Disposes any `tf.Tensor`s found within the provided object.\n *\n * @param container an object that may be a `tf.Tensor` or may directly\n *     contain `tf.Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. If\n *     the object is not a `tf.Tensor` or does not contain `Tensors`, nothing\n *     happens. In general it is safe to pass any object here, except that\n *     `Promise`s are not supported.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function dispose(container: TensorContainer) {\n  const tensors = getTensorsInContainer(container);\n  tensors.forEach(tensor => tensor.dispose());\n}\n\n/**\n * Keeps a `tf.Tensor` generated inside a `tf.tidy` from being disposed\n * automatically.\n *\n * ```js\n * let b;\n * const y = tf.tidy(() => {\n *   const one = tf.scalar(1);\n *   const a = tf.scalar(2);\n *\n *   // b will not be cleaned up by the tidy. a and one will be cleaned up\n *   // when the tidy ends.\n *   b = tf.keep(a.square());\n *\n *   console.log('numTensors (in tidy): ' + tf.memory().numTensors);\n *\n *   // The value returned inside the tidy function will return\n *   // through the tidy, in this case to the variable y.\n *   return b.add(one);\n * });\n *\n * console.log('numTensors (outside tidy): ' + tf.memory().numTensors);\n * console.log('y:');\n * y.print();\n * console.log('b:');\n * b.print();\n * ```\n *\n * @param result The tensor to keep from being disposed.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function keep<T extends Tensor>(result: T): T {\n  return ENGINE.keep(result);\n}\n\n/**\n * Executes `f()` and returns a promise that resolves with timing\n * information.\n *\n * The result is an object with the following properties:\n *\n * - `wallMs`: Wall execution time.\n * - `kernelMs`: Kernel execution time, ignoring data transfer.\n * - On `WebGL` The following additional properties exist:\n *   - `uploadWaitMs`: CPU blocking time on texture uploads.\n *   - `downloadWaitMs`: CPU blocking time on texture downloads (readPixels).\n *\n * ```js\n * const x = tf.randomNormal([20, 20]);\n * const time = await tf.time(() => x.matMul(x));\n *\n * console.log(`kernelMs: ${time.kernelMs}, wallTimeMs: ${time.wallMs}`);\n * ```\n *\n * @param f The function to execute and time.\n */\n/** @doc {heading: 'Performance', subheading: 'Timing'} */\nexport function time(f: () => void): Promise<TimingInfo> {\n  return ENGINE.time(f);\n}\n\n/**\n * Sets the backend (cpu, webgl, wasm, etc) responsible for creating tensors and\n * executing operations on those tensors. Returns a promise that resolves\n * to a boolean if the backend initialization was successful.\n *\n * Note this disposes the current backend, if any, as well as any tensors\n * associated with it. A new backend is initialized, even if it is of the\n * same type as the previous one.\n *\n * @param backendName The name of the backend. Currently supports\n *     `'webgl'|'cpu'` in the browser, `'tensorflow'` under node.js\n *     (requires tfjs-node), and `'wasm'` (requires tfjs-backend-wasm).\n */\n/** @doc {heading: 'Backends'} */\nexport function setBackend(backendName: string): Promise<boolean> {\n  return ENGINE.setBackend(backendName);\n}\n\n/**\n * Returns a promise that resolves when the currently selected backend (or the\n * highest priority one) has initialized. Await this promise when you are using\n * a backend that has async initialization.\n */\n/** @doc {heading: 'Backends'} */\nexport function ready(): Promise<void> {\n  return ENGINE.ready();\n}\n\n/**\n * Returns the current backend name (cpu, webgl, etc). The backend is\n * responsible for creating tensors and executing operations on those tensors.\n */\n/** @doc {heading: 'Backends'} */\nexport function getBackend(): string {\n  return ENGINE.backendName;\n}\n\n/**\n * Removes a backend and the registered factory.\n */\n/** @doc {heading: 'Backends'} */\nexport function removeBackend(name: string): void {\n  ENGINE.removeBackend(name);\n}\n\n/**\n * Finds the backend registered under the provided name. Returns null if the\n * name is not in the registry, or the registration hasn't finished yet.\n */\nexport function findBackend(name: string): KernelBackend {\n  return ENGINE.findBackend(name);\n}\n\n/**\n * Finds the backend factory registered under the provided name. Returns a\n * function that produces a new backend when called. Returns null if the name\n * is not in the registry.\n */\nexport function findBackendFactory(name: string): () =>\n    KernelBackend | Promise<KernelBackend> {\n  return ENGINE.findBackendFactory(name);\n}\n\n/**\n * Registers a global backend. The registration should happen when importing\n * a module file (e.g. when importing `backend_webgl.ts`), and is used for\n * modular builds (e.g. custom tfjs bundle with only webgl support).\n *\n * @param factory The backend factory function. When called, it should\n * return a backend instance, or a promise of an instance.\n * @param priority The priority of the backend (higher = more important).\n *     In case multiple backends are registered, the priority is used to find\n *     the best backend. Defaults to 1.\n * @return False if there is already a registered backend under this name, true\n *     if not.\n */\n/** @doc {heading: 'Backends'} */\nexport function registerBackend(\n    name: string, factory: () => KernelBackend | Promise<KernelBackend>,\n    priority = 1): boolean {\n  return ENGINE.registerBackend(name, factory, priority);\n}\n\n/**\n * Gets the current backend. If no backends have been initialized, this will\n * attempt to initialize the best backend. Will throw an error if the highest\n * priority backend has async initialization, in which case, you should call\n * 'await tf.ready()' before running other code.\n */\n/** @doc {heading: 'Backends'} */\nexport function backend(): KernelBackend {\n  return ENGINE.backend;\n}\n\n/**\n * Sets the global platform.\n *\n * @param platformName The name of this platform.\n * @param platform A platform implementation.\n */\nexport function setPlatform(platformName: string, platform: Platform) {\n  env().setPlatform(platformName, platform);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from './environment';\n\nexport function warn(...msg: Array<{}>): void {\n  if (!env().getBool('IS_TEST')) {\n    console.warn(...msg);\n  }\n}\n\nexport function log(...msg: Array<{}>): void {\n  if (!env().getBool('IS_TEST')) {\n    console.log(...msg);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from './engine';\nimport {env} from './environment';\nimport {Tensor} from './tensor';\nimport {DataType, TensorLike} from './types';\nimport {assert, flatten, inferDtype, isTypedArray, toTypedArray} from './util';\n\nexport function inferShape(val: TensorLike, dtype?: DataType): number[] {\n  let firstElem: typeof val = val;\n\n  if (isTypedArray(val)) {\n    return dtype === 'string' ? [] : [val.length];\n  }\n  if (!Array.isArray(val)) {\n    return [];  // Scalar.\n  }\n  const shape: number[] = [];\n\n  while (Array.isArray(firstElem) ||\n         isTypedArray(firstElem) && dtype !== 'string') {\n    shape.push(firstElem.length);\n    firstElem = firstElem[0];\n  }\n  if (Array.isArray(val) &&\n      env().getBool('TENSORLIKE_CHECK_SHAPE_CONSISTENCY')) {\n    deepAssertShapeConsistency(val, shape, []);\n  }\n\n  return shape;\n}\n\nfunction deepAssertShapeConsistency(\n    val: TensorLike, shape: number[], indices: number[]) {\n  indices = indices || [];\n  if (!(Array.isArray(val)) && !isTypedArray(val)) {\n    assert(\n        shape.length === 0,\n        () => `Element arr[${indices.join('][')}] is a primitive, ` +\n            `but should be an array/TypedArray of ${shape[0]} elements`);\n    return;\n  }\n  assert(\n      shape.length > 0,\n      () => `Element arr[${indices.join('][')}] should be a primitive, ` +\n          `but is an array of ${val.length} elements`);\n  assert(\n      val.length === shape[0],\n      () => `Element arr[${indices.join('][')}] should have ${shape[0]} ` +\n          `elements, but has ${val.length} elements`);\n  const subShape = shape.slice(1);\n  for (let i = 0; i < val.length; ++i) {\n    deepAssertShapeConsistency(val[i], subShape, indices.concat(i));\n  }\n}\n\nfunction assertDtype(\n    expectedDtype: DataType|'numeric', actualDType: DataType, argName: string,\n    functionName: string) {\n  if (expectedDtype == null) {\n    return;\n  }\n  if (expectedDtype !== 'numeric' && expectedDtype !== actualDType ||\n      expectedDtype === 'numeric' && actualDType === 'string') {\n    throw new Error(\n        `Argument '${argName}' passed to '${functionName}' must ` +\n        `be ${expectedDtype} tensor, but got ${actualDType} tensor`);\n  }\n}\n\nexport function convertToTensor<T extends Tensor>(\n    x: T|TensorLike, argName: string, functionName: string,\n    parseAsDtype: DataType|'numeric' = 'numeric'): T {\n  if (x instanceof Tensor) {\n    assertDtype(parseAsDtype, x.dtype, argName, functionName);\n    return x;\n  }\n  let inferredDtype = inferDtype(x);\n  // If the user expects a bool/int/float, use that info to update the\n  // inferredDtype when it is not a string.\n  if (inferredDtype !== 'string' &&\n      ['bool', 'int32', 'float32'].indexOf(parseAsDtype) >= 0) {\n    inferredDtype = parseAsDtype as DataType;\n  }\n  assertDtype(parseAsDtype, inferredDtype, argName, functionName);\n\n  if ((x == null) ||\n      (!isTypedArray(x) && !Array.isArray(x) && typeof x !== 'number' &&\n       typeof x !== 'boolean' && typeof x !== 'string')) {\n    const type = x == null ? 'null' : (x as {}).constructor.name;\n    throw new Error(\n        `Argument '${argName}' passed to '${functionName}' must be a ` +\n        `Tensor or TensorLike, but got '${type}'`);\n  }\n  const inferredShape = inferShape(x, inferredDtype);\n  if (!isTypedArray(x) && !Array.isArray(x)) {\n    x = [x] as number[];\n  }\n  const skipTypedArray = true;\n  const values = inferredDtype !== 'string' ?\n      toTypedArray(x, inferredDtype as DataType, env().getBool('DEBUG')) :\n      flatten(x as string[], [], skipTypedArray) as string[];\n  return ENGINE.makeTensor(values, inferredShape, inferredDtype) as T;\n}\n\nexport function convertToTensorArray<T extends Tensor>(\n    arg: Array<T|TensorLike>, argName: string, functionName: string,\n    parseAsDtype: DataType|'numeric' = 'numeric'): T[] {\n  if (!Array.isArray(arg)) {\n    throw new Error(\n        `Argument ${argName} passed to ${functionName} must be a ` +\n        '`Tensor[]` or `TensorLike[]`');\n  }\n  const tensors = arg as T[];\n  return tensors.map(\n      (t, i) => convertToTensor(t, `${argName}[${i}]`, functionName),\n      parseAsDtype);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\n/**\n * Returns true if the axis specifies the inner most dimensions of the\n * array.\n */\nexport function axesAreInnerMostDims(axes: number[], rank: number): boolean {\n  for (let i = 0; i < axes.length; ++i) {\n    if (axes[axes.length - i - 1] !== rank - 1 - i) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function combineLocations(\n    outputLoc: number[], reduceLoc: number[], axes: number[]): number[] {\n  const rank = outputLoc.length + reduceLoc.length;\n  const loc = [];\n  let outIdx = 0;\n  let reduceIdx = 0;\n    for (let dim = 0; dim < rank; dim++) {\n    if (axes.indexOf(dim) === -1) {\n      loc.push(outputLoc[outIdx++]);\n    } else {\n      loc.push(reduceLoc[reduceIdx++]);\n    }\n  }\n  return loc;\n}\n\nexport function computeOutAndReduceShapes(\n    aShape: number[], axes: number[]): [number[], number[]] {\n  const outShape = [];\n  const rank = aShape.length;\n  for (let dim = 0; dim < rank; dim++) {\n    if (axes.indexOf(dim) === -1) {\n      outShape.push(aShape[dim]);\n    }\n  }\n  const reduceShape = axes.map(dim => aShape[dim]);\n  return [outShape, reduceShape];\n}\n\nexport function expandShapeToKeepDim(\n    shape: number[], axes: number[]): number[] {\n  const reduceSubShape = axes.map(x => 1);\n  return combineLocations(shape, reduceSubShape, axes);\n}\n\nexport function assertAxesAreInnerMostDims(\n    msg: string, axes: number[], rank: number): void {\n  util.assert(\n      axesAreInnerMostDims(axes, rank),\n      () => `${msg} supports only inner-most axes for now. ` +\n          `Got axes ${axes} and rank-${rank} input.`);\n}\n\n/**\n * Returns the axes permutation to be used with `tf.transpose`, if such\n * permutation is necessary. Otherwise it returns null. This method is used by\n * operations that operate only on inner-most axes.\n */\nexport function getAxesPermutation(axes: number[], rank: number): number[]|\n    null {\n  if (axesAreInnerMostDims(axes, rank)) {\n    return null;\n  }\n  const result: number[] = [];\n  for (let i = 0; i < rank; ++i) {\n    if (axes.indexOf(i) === -1) {\n      result.push(i);\n    }\n  }\n  axes.forEach(axis => result.push(axis));\n  return result;\n}\n\n/** Returns the axes permutation that undoes the original permutation. */\nexport function getUndoAxesPermutation(axes: number[]): number[] {\n  return axes.map((axis, i) => [i, axis])\n      .sort((a, b) => a[1] - b[1])\n      .map(x => x[0]);\n}\n\nexport function getInnerMostAxes(numAxes: number, rank: number): number[] {\n  const res: number[] = [];\n  for (let i = rank - numAxes; i < rank; ++i) {\n    res.push(i);\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\nexport function assertParamsConsistent(shapes: number[][], axis: number) {\n  const rank = shapes[0].length;\n  shapes.forEach((shape, i) => {\n    util.assert(\n        shape.length === rank,\n        () =>\n            `Error in concat${rank}D: rank of tensors[${i}] must be the same ` +\n            `as the rank of the rest (${rank})`);\n  });\n\n  util.assert(\n      axis >= 0 && axis < rank,\n      () => `Error in concat${rank}D: axis must be between 0 and ${rank - 1}.`);\n\n  const firstShape = shapes[0];\n  shapes.forEach((shape, i) => {\n    for (let r = 0; r < rank; r++) {\n      util.assert(\n          (r === axis) || (shape[r] === firstShape[r]),\n          () => `Error in concat${rank}D: Shape of tensors[${i}] (${shape}) ` +\n              `does not match the shape of the rest (${firstShape}) ` +\n              `along the non-concatenated axis ${i}.`);\n    }\n  });\n}\n\nexport function computeOutShape(shapes: number[][], axis: number): number[] {\n  const outputShape = shapes[0].slice();\n  for (let i = 1; i < shapes.length; i++) {\n    outputShape[axis] += shapes[i][axis];\n  }\n  return outputShape;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\n\n/**\n * Used for wrapping functions that perform math operations on\n * Tensors. The function will be wrapped in a named scope that cleans all\n * memory usage after the function is done.\n */\nexport function op<T extends Function>(f: {[name: string]: T}): T {\n  const keys = Object.keys(f);\n  if (keys.length !== 1) {\n    throw new Error(\n        `Please provide an object with a single key ` +\n        `(operation name) mapping to a function. Got an object with ` +\n        `${keys.length} keys.`);\n  }\n\n  let opName = keys[0];\n  const fn = f[opName];\n\n  // Strip the underscore from the end of the function name.\n  if (opName.endsWith('_')) {\n    opName = opName.substring(0, opName.length - 1);\n  }\n\n  // tslint:disable-next-line:no-any\n  const f2 = (...args: any[]) => {\n    ENGINE.startScope(opName);\n    try {\n      const result = fn(...args);\n      if (result instanceof Promise) {\n        console.error('Cannot return a Promise inside of tidy.');\n      }\n      ENGINE.endScope(result);\n      return result;\n    } catch (ex) {\n      ENGINE.endScope(null);\n      throw ex;\n    }\n  };\n  Object.defineProperty(f2, 'name', {value: opName, configurable: true});\n\n  // tslint:disable-next-line:no-any\n  return f2 as any as T;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Converts two real numbers to a complex number.\n *\n * Given a tensor `real` representing the real part of a complex number, and a\n * tensor `imag` representing the imaginary part of a complex number, this\n * operation returns complex numbers elementwise of the form [r0, i0, r1, i1],\n * where r represents the real part and i represents the imag part.\n *\n * The input tensors real and imag must have the same shape.\n *\n * ```js\n * const real = tf.tensor1d([2.25, 3.25]);\n * const imag = tf.tensor1d([4.75, 5.75]);\n * const complex = tf.complex(real, imag);\n *\n * complex.print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction complex_<T extends Tensor>(real: T|TensorLike, imag: T|TensorLike): T {\n  const $real = convertToTensor(real, 'real', 'complex');\n  const $imag = convertToTensor(imag, 'imag', 'complex');\n  util.assertShapesMatch(\n      $real.shape, $imag.shape,\n      `real and imag shapes, ${$real.shape} and ${$imag.shape}, ` +\n          `must match in call to tf.complex().`);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.complex($real, $imag), {$real, $imag});\n}\n\n/**\n * Returns the real part of a complex (or real) tensor.\n *\n * Given a tensor input, this operation returns a tensor of type float that is\n * the real part of each element in input considered as a complex number.\n *\n * If the input is real, it simply makes a clone.\n *\n * ```js\n * const x = tf.complex([-2.25, 3.25], [4.75, 5.75]);\n * tf.real(x).print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction real_<T extends Tensor>(input: T|TensorLike): T {\n  const $input = convertToTensor(input, 'input', 'real');\n\n  return ENGINE.runKernelFunc(backend => backend.real($input), {$input});\n}\n\n/**\n * Returns the imaginary part of a complex (or real) tensor.\n *\n * Given a tensor input, this operation returns a tensor of type float that is\n * the imaginary part of each element in input considered as a complex number.\n * If input is real, a tensor of all zeros is returned.\n *\n * ```js\n * const x = tf.complex([-2.25, 3.25], [4.75, 5.75]);\n * tf.imag(x).print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction imag_<T extends Tensor>(input: T|TensorLike): T {\n  const $input = convertToTensor(input, 'input', 'imag');\n\n  return ENGINE.runKernelFunc(backend => backend.imag($input), {$input});\n}\n\nexport const complex = op({complex_});\nexport const real = op({real_});\nexport const imag = op({imag_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {env} from '../environment';\n\nimport {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, Tensor6D, Variable} from '../tensor';\nimport {convertToTensor, inferShape} from '../tensor_util_env';\nimport {TensorLike, TensorLike1D, TensorLike2D, TensorLike3D, TensorLike4D, TensorLike5D, TensorLike6D, TypedArray} from '../types';\nimport {DataType, Rank, ShapeMap} from '../types';\nimport {assert, assertNonNegativeIntegerDimensions, assertNonNull, flatten, inferDtype, isTypedArray, makeOnesTypedArray, makeZerosTypedArray, sizeFromShape, toTypedArray} from '../util';\nimport {complex, imag, real} from './complex_ops';\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with the provided values, shape and dtype.\n *\n * ```js\n * // Pass an array of values to create a vector.\n * tf.tensor([1, 2, 3, 4]).print();\n * ```\n *\n * ```js\n * // Pass a nested array of values to make a matrix or a higher\n * // dimensional tensor.\n * tf.tensor([[1, 2], [3, 4]]).print();\n * ```\n *\n * ```js\n * // Pass a flat array and specify a shape yourself.\n * tf.tensor([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`. If the values are strings,\n *     they will be encoded as utf-8 and kept as `Uint8Array[]`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor<R extends Rank>(\n    values: TensorLike, shape?: ShapeMap[R], dtype?: DataType): Tensor<R> {\n  const inferredShape = inferShape(values, dtype);\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor<R>;\n}\n\n/** This is shared code across all tensor creation methods. */\nfunction makeTensor(\n    values: TensorLike, shape: number[], inferredShape: number[],\n    dtype?: DataType): Tensor {\n  if (dtype == null) {\n    dtype = inferDtype(values);\n  }\n  if (dtype === 'complex64') {\n    throw new Error(\n        `Cannot construct a complex64 tensor directly. ` +\n        `Please use tf.complex(real, imag).`);\n  }\n  if (!isTypedArray(values) && !Array.isArray(values) &&\n      typeof values !== 'number' && typeof values !== 'boolean' &&\n      typeof values !== 'string') {\n    throw new Error(\n        'values passed to tensor(values) must be a number/boolean/string or ' +\n        'an array of numbers/booleans/strings, or a TypedArray');\n  }\n  if (shape != null) {\n    assertNonNegativeIntegerDimensions(shape);\n\n    const providedSize = sizeFromShape(shape);\n    const inferredSize = sizeFromShape(inferredShape);\n    assert(\n        providedSize === inferredSize,\n        () =>\n            `Based on the provided shape, [${shape}], the tensor should have ` +\n            `${providedSize} values but has ${inferredSize}`);\n\n    for (let i = 0; i < inferredShape.length; ++i) {\n      const inferred = inferredShape[i];\n      const flatDimsDontMatch = i === inferredShape.length - 1 ?\n          inferred !== sizeFromShape(shape.slice(i)) :\n          true;\n      assert(\n          inferredShape[i] === shape[i] || !flatDimsDontMatch,\n          () => `Error creating a new Tensor. Inferred shape ` +\n              `(${inferredShape}) does not match the provided ` +\n              `shape (${shape}). `);\n    }\n  }\n\n  if (!isTypedArray(values) && !Array.isArray(values)) {\n    values = [values] as number[];\n  }\n\n  shape = shape || inferredShape;\n  values = dtype !== 'string' ?\n      toTypedArray(values, dtype, env().getBool('DEBUG')) :\n      flatten(values as string[], [], true) as string[];\n  return ENGINE.makeTensor(values as TypedArray, shape, dtype);\n}\n\n/**\n * Creates rank-0 `tf.Tensor` (scalar) with the provided value and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.scalar` as it makes the code more readable.\n *\n * ```js\n * tf.scalar(3.14).print();\n * ```\n *\n * @param value The value of the scalar.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction scalar(\n    value: number|boolean|string|Uint8Array, dtype?: DataType): Scalar {\n  if (((isTypedArray(value) && dtype !== 'string') || Array.isArray(value)) &&\n      dtype !== 'complex64') {\n    throw new Error(\n        'Error creating a new Scalar: value must be a primitive ' +\n        '(number|boolean|string)');\n  }\n  if (dtype === 'string' && isTypedArray(value) &&\n      !(value instanceof Uint8Array)) {\n    throw new Error(\n        'When making a scalar from encoded string, ' +\n        'the value must be `Uint8Array`.');\n  }\n  const shape: number[] = [];\n  const inferredShape: number[] = [];\n  return makeTensor(value, shape, inferredShape, dtype) as Scalar;\n}\n\n/**\n * Creates rank-1 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor1d` as it makes the code more readable.\n *\n * ```js\n * tf.tensor1d([1, 2, 3]).print();\n * ```\n *\n * @param values The values of the tensor. Can be array of numbers,\n *     or a `TypedArray`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor1d(values: TensorLike1D, dtype?: DataType): Tensor1D {\n  assertNonNull(values);\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 1) {\n    throw new Error('tensor1d() requires values to be a flat/TypedArray');\n  }\n  const shape: number[] = null;\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor1D;\n}\n\n/**\n * Creates rank-2 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor2d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor2d([[1, 2], [3, 4]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided, it is inferred from\n *     `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor2d(\n    values: TensorLike2D, shape?: [number, number],\n    dtype?: DataType): Tensor2D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 2) {\n    throw new Error('tensor2d() requires shape to have two numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 2 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor2d() requires values to be number[][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor2d() requires shape to be provided when `values` ' +\n        'are a flat/TypedArray');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor2D;\n}\n\n/**\n * Creates rank-3 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor3d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor3d([[[1], [2]], [[3], [4]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor3d([1, 2, 3, 4], [2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided,  it is inferred from\n *     `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor3d(\n    values: TensorLike3D, shape?: [number, number, number],\n    dtype?: DataType): Tensor3D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 3) {\n    throw new Error('tensor3d() requires shape to have three numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 3 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor3d() requires values to be number[][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor3d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor3D;\n}\n\n/**\n * Creates rank-4 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor4d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor4d([[[[1], [2]], [[3], [4]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor4d(\n    values: TensorLike4D, shape?: [number, number, number, number],\n    dtype?: DataType): Tensor4D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 4) {\n    throw new Error('tensor4d() requires shape to have four numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 4 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor4d() requires values to be number[][][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor4d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor4D;\n}\n\n/**\n * Creates rank-5 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor5d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor5d([[[[[1], [2]], [[3], [4]]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor5d(\n    values: TensorLike5D, shape?: [number, number, number, number, number],\n    dtype?: DataType): Tensor5D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 5) {\n    throw new Error('tensor5d() requires shape to have five numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 5 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor5d() requires values to be ' +\n        'number[][][][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor5d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor5D;\n}\n\n/**\n * Creates rank-6 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor6d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor6d([[[[[[1],[2]],[[3],[4]]],[[[5],[6]],[[7],[8]]]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor6d([1, 2, 3, 4, 5, 6, 7, 8], [1, 1, 2, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor6d(\n    values: TensorLike6D,\n    shape?: [number, number, number, number, number, number],\n    dtype?: DataType): Tensor6D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 6) {\n    throw new Error('tensor6d() requires shape to have six numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 6 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor6d() requires values to be number[][][][][][] or ' +\n        'flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor6d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  shape = shape ||\n      inferredShape as [number, number, number, number, number, number];\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor6D;\n}\n\n/**\n * Creates a new variable with the provided initial value.\n * ```js\n * const x = tf.variable(tf.tensor([1, 2, 3]));\n * x.assign(tf.tensor([4, 5, 6]));\n *\n * x.print();\n * ```\n *\n * @param initialValue Initial value for the tensor.\n * @param trainable If true, optimizers are allowed to update it.\n * @param name Name of the variable. Defaults to a unique id.\n * @param dtype If set, initialValue will be converted to the given type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction variable<R extends Rank>(\n    initialValue: Tensor<R>, trainable = true, name?: string,\n    dtype?: DataType): Variable<R> {\n  return ENGINE.makeVariable(initialValue, trainable, name, dtype) as\n      Variable<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 1.\n *\n * ```js\n * tf.ones([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The type of an element in the resulting tensor. Defaults to\n *     'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction ones<R extends Rank>(\n    shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {\n  if (dtype === 'complex64') {\n    const real = ones(shape, 'float32');\n    const imag = zeros(shape, 'float32');\n    return complex(real, imag);\n  }\n  const values = makeOnesTypedArray(sizeFromShape(shape), dtype);\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 0.\n *\n * ```js\n * tf.zeros([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The type of an element in the resulting tensor. Can\n *     be 'float32', 'int32' or 'bool'. Defaults to 'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction zeros<R extends Rank>(\n    shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {\n  if (dtype === 'complex64') {\n    const real = zeros(shape, 'float32');\n    const imag = zeros(shape, 'float32');\n    return complex(real, imag);\n  }\n  const values = makeZerosTypedArray(sizeFromShape(shape), dtype);\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` filled with a scalar value.\n *\n * ```js\n * tf.fill([2, 2], 4).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param value The scalar value to fill the tensor with.\n * @param dtype The type of an element in the resulting tensor. Defaults to\n * 'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction fill<R extends Rank>(\n    shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n  return ENGINE.runKernelFunc(backend => backend.fill(shape, value, dtype), {});\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 1 with the same shape as the\n * given tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n * tf.onesLike(x).print();\n * ```\n * @param x A tensor.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction onesLike_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'onesLike');\n  if ($x.dtype === 'complex64') {\n    const r = onesLike(real($x));\n    const i = zerosLike(imag($x));\n    return complex(r, i);\n  }\n  const der = (dy: T, saved: Tensor[]) => ({$x: () => zerosLike(dy)});\n  return ENGINE.runKernelFunc(backend => backend.onesLike($x), {$x}, der) as T;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 0 with the same shape as the\n * given tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n * tf.zerosLike(x).print();\n * ```\n *\n * @param x The tensor of required shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction zerosLike_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'zerosLike');\n  const der = (dy: T, saved: Tensor[]) => ({$x: () => zerosLike(dy)});\n  return ENGINE.runKernelFunc(backend => backend.zerosLike($x), {$x}, der) as T;\n}\n\n/**\n * Return an evenly spaced sequence of numbers over the given interval.\n *\n * ```js\n * tf.linspace(0, 9, 10).print();\n * ```\n * @param start The start value of the sequence.\n * @param stop The end value of the sequence.\n * @param num The number of values to generate.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction linspace(start: number, stop: number, num: number): Tensor1D {\n  if (num <= 0) {\n    throw new Error('The number of values should be positive.');\n  }\n  return ENGINE.runKernelFunc(\n      backend => backend.linspace(start, stop, num), {});\n}\n\n/**\n * Creates a new `tf.Tensor1D` filled with the numbers in the range provided.\n *\n * The tensor is a is half-open interval meaning it includes start, but\n * excludes stop. Decrementing ranges and negative step values are also\n * supported.\n *\n * ```js\n * tf.range(0, 9, 2).print();\n * ```\n *\n * @param start An integer start value\n * @param stop An integer stop value\n * @param step An integer increment (will default to 1 or -1)\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction range(\n    start: number, stop: number, step = 1,\n    dtype: 'float32'|'int32' = 'float32'): Tensor1D {\n  if (step === 0) {\n    throw new Error('Cannot have a step of zero');\n  }\n\n  const sameStartStop = start === stop;\n  const increasingRangeNegativeStep = start < stop && step < 0;\n  const decreasingRangePositiveStep = stop < start && step > 1;\n\n  if (sameStartStop || increasingRangeNegativeStep ||\n      decreasingRangePositiveStep) {\n    return zeros([0], dtype);\n  }\n\n  const numElements = Math.abs(Math.ceil((stop - start) / step));\n  const values = makeZerosTypedArray(numElements, dtype);\n\n  if (stop < start && step === 1) {\n    // Auto adjust the step's sign if it hasn't been set\n    // (or was set to 1)\n    step = -1;\n  }\n\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return tensor1d(values, dtype);\n}\n\nexport {\n  fill,\n  linspace,\n  ones,\n  range,\n  scalar,\n  tensor,\n  tensor1d,\n  tensor2d,\n  tensor3d,\n  tensor4d,\n  tensor5d,\n  tensor6d,\n  variable,\n  zeros\n};\n\nexport const onesLike = op({onesLike_});\nexport const zerosLike = op({zerosLike_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, sizeFromShape} from '../util';\nimport {parseAxisParam} from '../util';\nimport {assertParamsConsistent, computeOutShape} from './concat_util';\nimport {op} from './operation';\nimport {tensor} from './tensor_ops';\n\n/**\n * Concatenates a list of`tf.Tensor1D`s along an axis. See `concat` for details.\n *\n * For example, if:\n * A: shape(3) = |r1, g1, b1|\n * B: shape(2) = |r2, g2|\n * C = tf.concat1d([A, B]) == |r1, g1, b1, r2, g2|\n *\n * @param tensors A list of`tf.Tensor`s to concatenate.\n * @return The concatenated array.\n */\nfunction concat1d_(tensors: Array<Tensor1D|TensorLike>): Tensor1D {\n  return concat(tensors, 0 /* axis */);\n}\n\n/**\n * Concatenates a list of`tf.Tensor2D`s along an axis. See `concat` for details.\n *\n * For example, if:\n * A: shape(2, 3) = | r1, g1, b1 |\n *                  | r2, g2, b2 |\n *\n * B: shape(2, 3) = | r3, g3, b3 |\n *                  | r4, g4, b4 |\n *\n * C = tf.concat2d([A, B], axis)\n *\n * if axis = 0:\n * C: shape(4, 3) = | r1, g1, b1 |\n *                  | r2, g2, b2 |\n *                  | r3, g3, b3 |\n *                  | r4, g4, b4 |\n *\n * if axis = 1:\n * C = shape(2, 6) = | r1, g1, b1, r3, g3, b3 |\n *                   | r2, g2, b2, r4, g4, b4 |\n *\n *\n * @param tensors A list of `tf.Tensor`s to concatenate.\n * @param axis The axis to concatenate along.\n * @return The concatenated array.\n */\nfunction concat2d_(\n    tensors: Array<Tensor2D|TensorLike>, axis: number): Tensor2D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor3D`s along an axis.\n * See `concat` for details.\n *\n * For example, if:\n * A: shape(2, 1, 3) = | r1, g1, b1 |\n *                     | r2, g2, b2 |\n *\n * B: shape(2, 1, 3) = | r3, g3, b3 |\n *                     | r4, g4, b4 |\n *\n * C = tf.concat3d([A, B], axis)\n *\n * if axis = 0:\n * C: shape(4, 1, 3) = | r1, g1, b1 |\n *                     | r2, g2, b2 |\n *                     | r3, g3, b3 |\n *                     | r4, g4, b4 |\n *\n * if axis = 1:\n * C: shape(2, 2, 3) = | r1, g1, b1, r3, g3, b3 |\n *                     | r2, g2, b2, r4, g4, b4 |\n *\n * if axis = 2:\n * C = shape(2, 1, 6) = | r1, g1, b1, r3, g3, b3 |\n *                      | r2, g2, b2, r4, g4, b4 |\n *\n * @param tensors A list of`tf.Tensor`s to concatenate.\n * @param axis The axis to concate along.\n * @return The concatenated array.\n */\nfunction concat3d_(\n    tensors: Array<Tensor3D|TensorLike>, axis: number): Tensor3D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor4D`s along an axis.\n * See `concat` for details.\n *\n * @param tensors A list of `tf.Tensor`s to concatenate.\n * @param axis The axis to concate along.\n * @return The concatenated array.\n */\nfunction concat4d_(\n    tensors: Array<Tensor4D|TensorLike>, axis: number): Tensor4D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor`s along a given axis.\n *\n * The tensors ranks and types must match, and their sizes must match in all\n * dimensions except `axis`.\n *\n * Also available are stricter rank-specific methods that assert that\n * `tensors` are of the given rank:\n *   - `tf.concat1d`\n *   - `tf.concat2d`\n *   - `tf.concat3d`\n *   - `tf.concat4d`\n *\n * Except `tf.concat1d` (which does not have axis param), all methods have\n * same signature as this method.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * a.concat(b).print();  // or a.concat(b)\n * ```\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n * tf.concat([a, b, c]).print();\n * ```\n *\n * ```js\n * const a = tf.tensor2d([[1, 2], [10, 20]]);\n * const b = tf.tensor2d([[3, 4], [30, 40]]);\n * const axis = 1;\n * tf.concat([a, b], axis).print();\n * ```\n * @param tensors A list of tensors to concatenate.\n * @param axis The axis to concate along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction concat_<T extends Tensor>(tensors: Array<T|TensorLike>, axis = 0): T {\n  assert(tensors.length >= 1, () => 'Pass at least one tensor to concat');\n  let $tensors = convertToTensorArray(tensors, 'tensors', 'concat');\n  if ($tensors[0].dtype === 'complex64') {\n    $tensors.forEach(tensor => {\n      if (tensor.dtype !== 'complex64') {\n        throw new Error(`Cannot concatenate complex64 tensors with a tensor\n          with dtype ${tensor.dtype}. `);\n      }\n    });\n  }\n\n  axis = parseAxisParam(axis, $tensors[0].shape)[0];\n  const outShape = computeOutShape($tensors.map(t => t.shape), axis);\n  if (sizeFromShape(outShape) === 0) {\n    return tensor([], outShape) as T;\n  }\n  // Keep only non-empty tensors (ignore tensors with 0 in their shape).\n  $tensors = $tensors.filter(t => t.size > 0);\n  if ($tensors.length === 1) {\n    return $tensors[0];\n  }\n\n  const shapes = $tensors.map(t => t.shape);\n  assertParamsConsistent(shapes, axis);\n  const der = (dy: T) => {\n    const sizeSplits = shapes.map(s => s[axis]);\n    const derTensors = split(dy, sizeSplits, axis);\n    return derTensors.map(t => () => t) as {};\n  };\n  const inputs = $tensors as {};\n  const attr = {axis};\n  return ENGINE.runKernelFunc(\n      backend => backend.concat($tensors, axis) as T, inputs, der, 'Concat',\n      attr);\n}\n\n/**\n * Splits a `tf.Tensor` into sub tensors.\n *\n * If `numOrSizeSplits` is a number, splits `x` along dimension `axis`\n * into `numOrSizeSplits` smaller tensors.\n * Requires that `numOrSizeSplits` evenly divides `x.shape[axis]`.\n *\n * If `numOrSizeSplits` is a number array, splits `x` into\n * `numOrSizeSplits.length` pieces. The shape of the `i`-th piece has the\n * same size as `x` except along dimension `axis` where the size is\n * `numOrSizeSplits[i]`.\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4, 5, 6, 7, 8], [2, 4]);\n * const [a, b] = tf.split(x, 2, 1);\n * a.print();\n * b.print();\n *\n * const [c, d, e] = tf.split(x, [1, 2, 1], 1);\n * c.print();\n * d.print();\n * e.print();\n * ```\n *\n * @param x The input tensor to split.\n * @param numOrSizeSplits Either an integer indicating the number of\n * splits along the axis or an array of integers containing the sizes of\n * each output tensor along the axis. If a number then it must evenly divide\n * `x.shape[axis]`; otherwise the sum of sizes must match `x.shape[axis]`.\n * @param axis The dimension along which to split. Defaults to 0 (the first\n * dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction split_<T extends Tensor>(\n    x: T|TensorLike, numOrSizeSplits: number[]|number, axis = 0): T[] {\n  const $x = convertToTensor(x, 'x', 'split');\n\n  axis = parseAxisParam(axis, $x.shape)[0];\n  let splitSizes: number[];\n  if (typeof (numOrSizeSplits) === 'number') {\n    assert(\n        $x.shape[axis] % numOrSizeSplits === 0,\n        () => 'Number of splits must evenly divide the axis.');\n    splitSizes =\n        new Array(numOrSizeSplits).fill($x.shape[axis] / numOrSizeSplits);\n  } else {\n    assert(\n        $x.shape[axis] === numOrSizeSplits.reduce((a, b) => a + b),\n        () => 'The sum of sizes must match the size of the axis dimension.');\n    splitSizes = numOrSizeSplits;\n  }\n  const der = (dy: T[]) => ({$x: () => concat(dy, axis)});\n  return ENGINE.runKernelFunc(\n      backend => backend.split($x, splitSizes, axis), {$x}, der);\n}\n\nexport const concat = op({concat_});\nexport const concat1d = op({concat1d_});\nexport const concat2d = op({concat2d_});\nexport const concat3d = op({concat3d_});\nexport const concat4d = op({concat4d_});\nexport const split = op({split_});\n","// A port of an algorithm by Johannes Baagøe <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baagøe <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xorshift7\" algorithm by\n// François Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n","// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n","// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n","// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baagøe.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by François Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as seedrandom from 'seedrandom';\n\nexport interface RandomBase {\n  nextValue(): number;\n}\n\nexport interface RandomGamma {\n  nextValue(): number;\n}\n\nexport interface RandNormalDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\nexport interface RandGammaDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\n// https://en.wikipedia.org/wiki/Marsaglia_polar_method\nexport class MPRandGauss implements RandomBase {\n  private mean: number;\n  private stdDev: number;\n  private nextVal: number;\n  private dtype?: keyof RandNormalDataTypes;\n  private truncated?: boolean;\n  private upper?: number;\n  private lower?: number;\n  private random: seedrandom.prng;\n\n  constructor(\n      mean: number, stdDeviation: number, dtype?: keyof RandNormalDataTypes,\n      truncated?: boolean, seed?: number) {\n    this.mean = mean;\n    this.stdDev = stdDeviation;\n    this.dtype = dtype;\n    this.nextVal = NaN;\n    this.truncated = truncated;\n    if (this.truncated) {\n      this.upper = this.mean + this.stdDev * 2;\n      this.lower = this.mean - this.stdDev * 2;\n    }\n    const seedValue = seed ? seed : Math.random();\n    this.random = seedrandom.alea(seedValue.toString());\n  }\n\n  /** Returns next sample from a Gaussian distribution. */\n  public nextValue(): number {\n    if (!isNaN(this.nextVal)) {\n      const value = this.nextVal;\n      this.nextVal = NaN;\n      return value;\n    }\n\n    let resultX: number, resultY: number;\n    let isValid = false;\n    while (!isValid) {\n      let v1: number, v2: number, s: number;\n      do {\n        v1 = 2 * this.random() - 1;\n        v2 = 2 * this.random() - 1;\n        s = v1 * v1 + v2 * v2;\n      } while (s >= 1 || s === 0);\n\n      const mul = Math.sqrt(-2.0 * Math.log(s) / s);\n      resultX = this.mean + this.stdDev * v1 * mul;\n      resultY = this.mean + this.stdDev * v2 * mul;\n\n      if (!this.truncated || this.isValidTruncated(resultX)) {\n        isValid = true;\n      }\n    }\n\n    if (!this.truncated || this.isValidTruncated(resultY)) {\n      this.nextVal = this.convertValue(resultY);\n    }\n    return this.convertValue(resultX);\n  }\n\n  /** Handles proper rounding for non-floating-point numbers. */\n  private convertValue(value: number): number {\n    if (this.dtype == null || this.dtype === 'float32') {\n      return value;\n    }\n    return Math.round(value);\n  }\n\n  /** Returns true if less than 2-standard-deviations from the mean. */\n  private isValidTruncated(value: number): boolean {\n    return value <= this.upper && value >= this.lower;\n  }\n}\n\n// Marsaglia, George, and Wai Wan Tsang. 2000. \"A Simple Method for Generating\n// Gamma Variables.\"\nexport class RandGamma implements RandomGamma {\n  private alpha: number;\n  private beta: number;\n  private d: number;\n  private c: number;\n  private dtype?: keyof RandGammaDataTypes;\n  private randu: seedrandom.prng;\n  private randn: MPRandGauss;\n\n  constructor(\n      alpha: number, beta: number, dtype: keyof RandGammaDataTypes,\n      seed?: number) {\n    this.alpha = alpha;\n    this.beta = 1 / beta;  // convert rate to scale parameter\n    this.dtype = dtype;\n\n    const seedValue = seed ? seed : Math.random();\n    this.randu = seedrandom.alea(seedValue.toString());\n    this.randn = new MPRandGauss(0, 1, dtype, false, this.randu());\n\n    if (alpha < 1) {\n      this.d = alpha + (2 / 3);\n    } else {\n      this.d = alpha - (1 / 3);\n    }\n    this.c = 1 / Math.sqrt(9 * this.d);\n  }\n\n  /** Returns next sample from a gamma distribution. */\n  public nextValue(): number {\n    let x2: number, v0: number, v1: number, x: number, u: number, v: number;\n    while (true) {\n      do {\n        x = this.randn.nextValue();\n        v = 1 + (this.c * x);\n      } while (v <= 0);\n      v *= v * v;\n      x2 = x * x;\n      v0 = 1 - (0.331 * x2 * x2);\n      v1 = (0.5 * x2) + (this.d * (1 - v + Math.log(v)));\n      u = this.randu();\n      if (u < v0 || Math.log(u) < v1) {\n        break;\n      }\n    }\n    v = (1 / this.beta) * this.d * v;\n    if (this.alpha < 1) {\n      v *= Math.pow(this.randu(), 1 / this.alpha);\n    }\n    return this.convertValue(v);\n  }\n  /** Handles proper rounding for non-floating-point numbers. */\n  private convertValue(value: number): number {\n    if (this.dtype === 'float32') {\n      return value;\n    }\n    return Math.round(value);\n  }\n}\n\nexport class UniformRandom implements RandomBase {\n  private min: number;\n  private range: number;\n  private random: seedrandom.prng;\n  private dtype?: keyof RandNormalDataTypes;\n\n  constructor(\n      min = 0, max = 1, dtype?: keyof RandNormalDataTypes,\n      seed?: string|number) {\n    this.min = min;\n    this.range = max - min;\n    this.dtype = dtype;\n    if (seed == null) {\n      seed = Math.random();\n    }\n    if (typeof seed === 'number') {\n      seed = seed.toString();\n    }\n\n    if (!this.canReturnFloat() && this.range <= 1) {\n      throw new Error(\n          `The difference between ${min} - ${max} <= 1 and dtype is not float`);\n    }\n    this.random = seedrandom.alea(seed);\n  }\n\n  /** Handles proper rounding for non floating point numbers. */\n  private canReturnFloat = () =>\n      (this.dtype == null || this.dtype === 'float32');\n\n  private convertValue(value: number): number {\n    if (this.canReturnFloat()) {\n      return value;\n    }\n    return Math.round(value);\n  }\n\n  nextValue() {\n    return this.convertValue(this.min + this.range * this.random());\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, TensorBuffer} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {DataType, DataTypeMap, Rank, ShapeMap, TensorLike, TensorLike4D} from '../types';\nimport * as util from '../util';\nimport {getAxesPermutation, getInnerMostAxes} from './axis_util';\nimport {concat} from './concat_split';\nimport {op} from './operation';\nimport {MPRandGauss, RandGamma, UniformRandom} from './rand';\nimport {zeros, zerosLike} from './tensor_ops';\n\n/**\n * Broadcast an array to a compatible shape NumPy-style.\n *\n * The tensor's shape is compared to the broadcast shape from end to beginning.\n * Ones are prepended to the tensor's shape until is has the same length as\n * the broadcast shape. If input.shape[i]==shape[i], the (i+1)-th axis is\n * already broadcast-compatible. If input.shape[i]==1 and shape[i]==N, then\n * the input tensor is tiled N times along that axis (using tf.tile).\n *\n * @param input The tensor that is to be broadcasted.\n * @param shape The input is to be broadcast to this shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction broadcastTo_<R extends Rank>(\n    x: Tensor|TensorLike, shape: ShapeMap[R]): Tensor<R> {\n  let input = convertToTensor(x, 'broadcastTo', 'x');\n  const xShape = input.shape;\n\n  if (shape.some(d => !(d > 0) || d % 1 !== 0)) {\n    throw new Error(`broadcastTo(): Invalid broadcast shape [${shape}].`);\n  }\n\n  if (shape.length < input.rank) {\n    throw new Error(`broadcastTo(): shape.length=${shape.length} < input.rank=${\n        input.rank}.`);\n  }\n\n  if (shape.length > input.rank) {\n    const newShape = input.shape.slice();\n    while (newShape.length < shape.length) {\n      newShape.unshift(1);\n    }\n    input = input.reshape(newShape);\n  }\n\n  const reps: number[] = Array.from(shape);\n  for (let i = shape.length - 1; i >= 0; i--) {\n    if (input.shape[i] === shape[i]) {\n      reps[i] = 1;\n    } else if (input.shape[i] !== 1) {\n      throw new Error(\n          `broadcastTo(): [${xShape}] cannot be broadcast to [${shape}].`);\n    }\n  }\n  const axes = reps.map((n, i) => n > 1 ? i : -1).filter(i => i >= 0);\n\n  if (axes.length === 0) {\n    return input.clone() as Tensor<R>;\n  }\n\n  return ENGINE.runKernelFunc(\n             backend => backend.tile(input, reps), {input},\n             (dy: Tensor) =>\n                 ({input: () => dy.sum(axes, /*keepDims=*/true)})) as Tensor<R>;\n}\n\n/**\n * Creates a new tensor with the same values and shape as the specified\n * tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n *\n * x.clone().print();\n * ```\n *\n * @param x The tensor to clone.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction clone_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'clone', null);\n  const der = (dy: T) => {\n    return {$x: () => dy.toFloat()};\n  };\n  return ENGINE.runKernelFunc(\n      () => ENGINE.makeTensorFromDataId($x.dataId, $x.shape, $x.dtype) as T,\n      {$x}, der);\n}\n\n/**\n * Create an identity matrix.\n *\n * @param numRows Number of rows.\n * @param numColumns Number of columns. Defaults to `numRows`.\n * @param batchShape If provided, will add the batch shape to the beginning\n *   of the shape of the returned `tf.Tensor` by repeating the identity\n *   matrix.\n * @param dtype Data type.\n * @returns Identity matrix of the specified size and data type, possibly\n *   with batch repetition if `batchShape` is specified.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction eye_(\n    numRows: number, numColumns?: number,\n    batchShape?:\n        [\n          number\n        ]|[number,\n           number]|[number, number, number]|[number, number, number, number],\n    dtype: DataType = 'float32'): Tensor2D {\n  if (numColumns == null) {\n    numColumns = numRows;\n  }\n  const buff = buffer([numRows, numColumns], dtype);\n  const n = numRows <= numColumns ? numRows : numColumns;\n  for (let i = 0; i < n; ++i) {\n    buff.set(1, i, i);\n  }\n  const out = buff.toTensor().as2D(numRows, numColumns);\n  if (batchShape == null) {\n    return out;\n  } else {\n    if (batchShape.length === 1) {\n      return tile(expandDims(out, 0), [batchShape[0], 1, 1]);\n    } else if (batchShape.length === 2) {\n      return tile(\n          expandDims(expandDims(out, 0), 0),\n          [batchShape[0], batchShape[1], 1, 1]);\n    } else if (batchShape.length === 3) {\n      return tile(\n          expandDims(expandDims(expandDims(out, 0), 0), 0),\n          [batchShape[0], batchShape[1], batchShape[2], 1, 1]);\n    } else {\n      throw new Error(\n          `eye() currently supports only 1D and 2D ` +\n          // tslint:disable-next-line:no-any\n          `batchShapes, but received ${(batchShape as any).length}D.`);\n    }\n  }\n}\n\n/**\n * Creates a `tf.Tensor` with values sampled from a normal distribution.\n *\n * ```js\n * tf.randomNormal([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param mean The mean of the normal distribution.\n * @param stdDev The standard deviation of the normal distribution.\n * @param dtype The data type of the output.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomNormal_<R extends Rank>(\n    shape: ShapeMap[R], mean = 0, stdDev = 1, dtype?: 'float32'|'int32',\n    seed?: number): Tensor<R> {\n  if (dtype != null && (dtype as DataType) === 'bool') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const randGauss =\n      new MPRandGauss(mean, stdDev, dtype, false /* truncated */, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = randGauss.nextValue();\n  }\n  return res.toTensor();\n}\n\n/**\n * Creates a `tf.Tensor` with values sampled from a truncated normal\n * distribution.\n *\n * ```js\n * tf.truncatedNormal([2, 2]).print();\n * ```\n *\n * The generated values follow a normal distribution with specified mean and\n * standard deviation, except that values whose magnitude is more than 2\n * standard deviations from the mean are dropped and re-picked.\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param mean The mean of the normal distribution.\n * @param stdDev The standard deviation of the normal distribution.\n * @param dtype The data type of the output tensor.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction truncatedNormal_<R extends Rank>(\n    shape: ShapeMap[R], mean = 0, stdDev = 1, dtype?: 'float32'|'int32',\n    seed?: number): Tensor<R> {\n  if (dtype != null && (dtype as DataType) === 'bool') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const randGauss =\n      new MPRandGauss(mean, stdDev, dtype, true /* truncated */, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = randGauss.nextValue();\n  }\n  return res.toTensor();\n}\n\n/**\n * Creates a `tf.Tensor` with values sampled from a gamma distribution.\n *\n * ```js\n * tf.randomGamma([2, 2], 1).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param alpha The shape parameter of the gamma distribution.\n * @param beta The inverse scale parameter of the gamma distribution. Defaults\n *     to 1.\n * @param dtype The data type of the output. Defaults to float32.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomGamma_<R extends Rank>(\n    shape: ShapeMap[R], alpha: number, beta = 1,\n    dtype: 'float32'|'int32' = 'float32', seed?: number): Tensor<R> {\n  if (beta == null) {\n    beta = 1;\n  }\n  if (dtype == null) {\n    dtype = 'float32';\n  }\n  if (dtype !== 'float32' && dtype !== 'int32') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const rgamma = new RandGamma(alpha, beta, dtype, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = rgamma.nextValue();\n  }\n  return res.toTensor();\n}\n\n/**\n * Creates a `tf.Tensor` with values sampled from a uniform distribution.\n *\n * The generated values follow a uniform distribution in the range [minval,\n * maxval). The lower bound minval is included in the range, while the upper\n * bound maxval is excluded.\n *\n * ```js\n * tf.randomUniform([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param minval The lower bound on the range of random values to generate.\n *   Defaults to 0.\n * @param maxval The upper bound on the range of random values to generate.\n *   Defaults to 1.\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomUniform_<R extends Rank>(\n    shape: ShapeMap[R], minval = 0, maxval = 1, dtype: DataType = 'float32',\n    seed?: number|string): Tensor<R> {\n  const res = buffer(shape, dtype);\n  const random = new UniformRandom(minval, maxval, null, seed);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = random.nextValue();\n  }\n  return res.toTensor();\n}\n\n/**\n * Creates a `tf.Tensor` with values sampled from a random number generator\n * function defined by the user.\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param randFunction A random number generator function which is called\n * for each element in the output tensor.\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\nfunction rand_<R extends Rank>(\n    shape: ShapeMap[R], randFunction: () => number,\n    dtype?: DataType): Tensor<R> {\n  const size = util.sizeFromShape(shape);\n\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n\n  for (let i = 0; i < size; i++) {\n    values[i] = randFunction();\n  }\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with values drawn from a multinomial distribution.\n *\n * ```js\n * const probs = tf.tensor([.75, .25]);\n * tf.multinomial(probs, 3).print();\n * ```\n *\n * @param logits 1D array with unnormalized log-probabilities, or\n *     2D array of shape `[batchSize, numOutcomes]`. See the `normalized`\n *     parameter.\n * @param numSamples Number of samples to draw for each row slice.\n * @param seed The seed number.\n * @param normalized Whether the provided `logits` are normalized true\n *     probabilities (sum to 1). Defaults to false.\n * @return 1D array of shape `[numSamples]`, or 2D array of shape\n *     `[batchSize, numSamples]`, depending on the rank of the input.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction multinomial_(\n    logits: Tensor1D|Tensor2D|TensorLike, numSamples: number, seed?: number,\n    normalized = false): Tensor1D|Tensor2D {\n  const $logits = convertToTensor(logits, 'logits', 'multinomial');\n  const numOutcomes = $logits.size;\n  const origRank = $logits.rank;\n  if (numOutcomes < 2) {\n    throw new Error(\n        `Error in multinomial: you need at least 2 outcomes, but got ` +\n        `${numOutcomes}.`);\n  }\n  if (origRank > 2) {\n    throw new Error(`Rank of probabilities must be 1 or 2, but is ${origRank}`);\n  }\n  seed = seed || Math.random();\n  const logits2D = origRank === 1 ? $logits.as2D(1, -1) : $logits as Tensor2D;\n  const res = ENGINE.runKernelFunc(\n      backend => backend.multinomial(logits2D, normalized, numSamples, seed),\n      {logits2D});\n\n  return origRank === 1 ? res.as1D() : res;\n}\n\n/**\n * Creates a one-hot `tf.Tensor`. The locations represented by `indices` take\n * value `onValue` (defaults to 1), while all other locations take value\n * `offValue` (defaults to 0). If `indices` is rank `R`, the output has rank\n * `R+1` with the last axis of size `depth`.\n *\n * ```js\n * tf.oneHot(tf.tensor1d([0, 1], 'int32'), 3).print();\n * ```\n *\n * @param indices `tf.Tensor` of indices with dtype `int32`.\n * @param depth The depth of the one hot dimension.\n * @param onValue A number used to fill in the output when the index matches\n * the location.\n * @param offValue A number used to fill in the output when the index does\n *     not match the location.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction oneHot_(\n    indices: Tensor|TensorLike, depth: number, onValue = 1,\n    offValue = 0): Tensor {\n  if (depth < 2) {\n    throw new Error(`Error in oneHot: depth must be >=2, but it is ${depth}`);\n  }\n  let $indices = convertToTensor(indices, 'indices', 'oneHot', 'int32');\n  const outShape = [...$indices.shape, depth];\n  $indices = $indices.flatten();\n\n  const grad = (dy: Tensor2D) => {\n    return {$indices: () => zeros($indices.shape, 'float32')};\n  };\n  const result = ENGINE.runKernelFunc(\n      backend => backend.oneHot($indices as Tensor1D, depth, onValue, offValue),\n      {$indices}, grad);\n  return result.reshape(outShape);\n}\n\n/**\n * Reshapes a `tf.Tensor` to a given shape.\n *\n * Given an input tensor, returns a new tensor with the same values as the\n * input tensor with shape `shape`.\n *\n * If one component of shape is the special value -1, the size of that\n * dimension is computed so that the total size remains constant. In\n * particular, a shape of [-1] flattens into 1-D. At most one component of\n * shape can be -1.\n *\n * If shape is 1-D or higher, then the operation returns a tensor with shape\n * shape filled with the values of tensor. In this case, the number of\n * elements implied by shape must be the same as the number of elements in\n * tensor.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * x.reshape([2, 2]).print();\n * ```\n *\n * @param x The input tensor to be reshaped.\n * @param shape An array of integers defining the output tensor shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction reshape_<R2 extends Rank>(\n    x: Tensor|TensorLike, shape: ShapeMap[R2]): Tensor<R2> {\n  const $x = convertToTensor(x, 'x', 'reshape', null);\n  shape = util.inferFromImplicitShape(shape, $x.size) as ShapeMap[R2];\n  util.assert(\n      $x.size === util.sizeFromShape(shape),\n      () => 'new shape and old shape must have the same number of elements.');\n\n  const grad = (dy: Tensor<R2>) => {\n    return {x: () => dy.reshape($x.shape)};\n  };\n  const attrs = {shape};\n  return ENGINE.runKernelFunc(\n      backend => backend.reshape($x, shape), {x: $x}, grad, 'Reshape', attrs);\n}\n\n/**\n * Removes dimensions of size 1 from the shape of a `tf.Tensor`.\n *\n * ```js\n * const x = tf.tensor([1, 2, 3, 4], [1, 1, 4]);\n * x.squeeze().print();\n * ```\n *\n * @param x The input tensor to be squeezed.\n * @param axis An optional list of numbers. If specified, only\n *     squeezes the dimensions listed. The dimension index starts at 0. It\n * is an error to squeeze a dimension that is not 1.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction squeeze_<T extends Tensor>(x: Tensor|TensorLike, axis?: number[]): T {\n  const $x = convertToTensor(x, 'x', 'squeeze');\n  return reshape($x, util.squeezeShape($x.shape, axis).newShape) as T;\n}\n\n/**\n * Casts a `tf.Tensor` to a new dtype.\n *\n * ```js\n * const x = tf.tensor1d([1.5, 2.5, 3]);\n * tf.cast(x, 'int32').print();\n * ```\n * @param x The input tensor to be casted.\n * @param dtype The dtype to cast the input tensor to.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction cast_<T extends Tensor>(x: T|TensorLike, dtype: DataType): T {\n  const $x = convertToTensor(x, 'x', 'cast');\n\n  // Sanity checks.\n  if (!util.isValidDtype(dtype)) {\n    throw new Error(`Failed to cast to unknown dtype ${dtype}`);\n  }\n  if (dtype === 'string' && $x.dtype !== 'string' ||\n      dtype !== 'string' && $x.dtype === 'string') {\n    throw new Error('Only strings can be casted to strings');\n  }\n\n  const grad = (dy: T) => {\n    return {x: () => dy.clone()};\n  };\n  const attrs = {dtype};\n  return ENGINE.runKernelFunc(\n      backend => backend.cast($x, dtype), {x: $x}, grad, 'Cast', attrs);\n}\n\n/**\n * Construct a tensor by repeating it the number of times given by reps.\n *\n * This operation creates a new tensor by replicating `input` `reps`\n * times. The output tensor's i'th dimension has `input.shape[i] *\n * reps[i]` elements, and the values of `input` are replicated\n * `reps[i]` times along the i'th dimension. For example, tiling\n * `[a, b, c, d]` by `[2]` produces `[a, b, c, d, a, b, c, d]`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n *\n * a.tile([2]).print();    // or a.tile([2])\n * ```\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.tile([1, 2]).print();  // or a.tile([1, 2])\n * ```\n * @param x The tensor to tile.\n * @param reps Determines the number of replications per dimension.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction tile_<T extends Tensor>(x: T|TensorLike, reps: number[]): T {\n  const parseAs: DataType = null;\n  const $x = convertToTensor(x, 'x', 'tile', parseAs);\n\n  util.assert(\n      $x.rank === reps.length,\n      () => `Error in transpose: rank of input ${$x.rank} ` +\n          `must match length of reps ${reps}.`);\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    const derX = () => {\n      let xGrad = zerosLike($x);\n      // TODO(cais): Maybe reduce memory footprint by avoiding repeated\n      // slicing.\n      if ($x.rank === 1) {\n        for (let i = 0; i < reps[0]; ++i) {\n          xGrad = xGrad.add(dy.slice([i * $x.shape[0]], [$x.shape[0]]));\n        }\n      } else if ($x.rank === 2) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            xGrad = xGrad.add(dy.slice(\n                [i * $x.shape[0], j * $x.shape[1]],\n                [$x.shape[0], $x.shape[1]]));\n          }\n        }\n      } else if ($x.rank === 3) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            for (let k = 0; k < reps[2]; ++k) {\n              xGrad = xGrad.add(dy.slice(\n                  [i * $x.shape[0], j * $x.shape[1], k * $x.shape[2]],\n                  [$x.shape[0], $x.shape[1], $x.shape[2]]));\n            }\n          }\n        }\n      } else if ($x.rank === 4) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            for (let k = 0; k < reps[2]; ++k) {\n              for (let l = 0; l < reps[3]; ++l) {\n                xGrad = xGrad.add(dy.slice(\n                    [\n                      i * $x.shape[0], j * $x.shape[1], k * $x.shape[2],\n                      l * $x.shape[3]\n                    ],\n                    [$x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]]));\n              }\n            }\n          }\n        }\n      } else {\n        throw new Error(\n            `Gradient for tile operation is not implemented for rank-` +\n            `${$x.rank} tensors yet.`);\n      }\n      return xGrad as T;\n    };\n    return {x: derX};\n  };\n  const inputsToSave = [$x];\n  const attrs = {reps};\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.tile($x, reps);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Tile', attrs, inputsToSave);\n}\n\n/**\n * Pads a `tf.Tensor1D` with a given value and paddings. See `pad` for details.\n */\nfunction pad1d_(\n    x: Tensor1D|TensorLike, paddings: [number, number],\n    constantValue = 0): Tensor1D {\n  util.assert(\n      paddings.length === 2,\n      () => 'Invalid number of paddings. Must be length of 2.');\n  return pad(x, [paddings], constantValue);\n}\n\n/**\n * Pads a `tf.Tensor2D` with a given value and paddings. See `pad` for details.\n */\nfunction pad2d_(\n    x: Tensor2D|TensorLike, paddings: [[number, number], [number, number]],\n    constantValue = 0): Tensor2D {\n  util.assert(\n      paddings.length === 2 && paddings[0].length === 2 &&\n          paddings[1].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\n/**\n * Pads a `tf.Tensor3D` with a given value and paddings. See `pad` for details.\n */\nfunction pad3d_(\n    x: Tensor3D|TensorLike,\n    paddings: [[number, number], [number, number], [number, number]],\n    constantValue = 0): Tensor3D {\n  util.assert(\n      paddings.length === 3 && paddings[0].length === 2 &&\n          paddings[1].length === 2 && paddings[2].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\n/**\n * Pads a `tf.Tensor4D` with a given value and paddings. See `pad` for details.\n */\nfunction pad4d_(\n    x: Tensor4D|TensorLike,\n    paddings:\n        [\n          [number, number], [number, number], [number, number], [number, number]\n        ],\n    constantValue = 0): Tensor4D {\n  util.assert(\n      paddings.length === 4 && paddings[0].length === 2 &&\n          paddings[1].length === 2 && paddings[2].length === 2 &&\n          paddings[3].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\n/**\n * Pads a `tf.Tensor` with a given value and paddings.\n *\n * This operation currently only implements the `CONSTANT` mode.\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that `paddings` is of given length.\n *   - `tf.pad1d`\n *   - `tf.pad2d`\n *   - `tf.pad3d`\n *   - `tf.pad4d`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * x.pad([[1, 2]]).print();\n * ```\n * @param x The tensor to pad.\n * @param paddings An array of length `R` (the rank of the tensor), where\n * each element is a length-2 tuple of ints `[padBefore, padAfter]`,\n * specifying how much to pad along each dimension of the tensor.\n * @param constantValue The pad value to use. Defaults to 0.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction pad_<T extends Tensor>(\n    x: T|TensorLike, paddings: Array<[number, number]>, constantValue = 0): T {\n  const $x = convertToTensor(x, 'x', 'pad');\n\n  if ($x.rank === 0) {\n    throw new Error('pad(scalar) is not defined. Pass non-scalar to pad');\n  }\n\n  const grad = (dy: T) => {\n    // Pad introduces values around the original tensor, so the gradient\n    // slices the original shape out of the gradient.\n    const begin = paddings.map(p => p[0]);\n    return {x: () => dy.slice(begin, $x.shape)};\n  };\n  const attrs = {paddings, constantValue};\n  return ENGINE.runKernelFunc(\n      backend => backend.pad($x, paddings, constantValue), {x: $x}, grad,\n      'PadV2', attrs);\n}\n\n/**\n * Stacks a list of rank-`R` `tf.Tensor`s into one rank-`(R+1)` `tf.Tensor`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n * tf.stack([a, b, c]).print();\n * ```\n *\n * @param tensors A list of tensor objects with the same shape and dtype.\n * @param axis The axis to stack along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction stack_<T extends Tensor>(\n    tensors: Array<T|TensorLike>, axis = 0): Tensor {\n  const $tensors = convertToTensorArray(tensors, 'tensors', 'stack');\n\n  util.assert(\n      $tensors.length >= 1, () => 'Pass at least one tensor to tf.stack');\n  if ($tensors.length === 1) {\n    return $tensors[0].expandDims(axis);\n  }\n  const rank = $tensors[0].rank;\n  const shape = $tensors[0].shape;\n  const dtype = $tensors[0].dtype;\n\n  util.assert(axis <= rank, () => 'Axis must be <= rank of the tensor');\n\n  $tensors.forEach(t => {\n    util.assertShapesMatch(\n        shape, t.shape,\n        'All tensors passed to stack must have matching shapes');\n  });\n\n  $tensors.forEach(t => {\n    util.assert(\n        dtype === t.dtype,\n        () => 'All tensors passed to stack must have matching dtypes');\n  });\n  const expandedTensors = $tensors.map(t => t.expandDims(axis));\n  return concat(expandedTensors, axis);\n}\n\n/**\n * This operation reshapes the \"batch\" dimension 0 into `M + 1` dimensions of\n * shape `blockShape + [batch]`, interleaves these blocks back into the grid\n * defined by the spatial dimensions `[1, ..., M]`, to obtain a result with\n * the same rank as the input. The spatial dimensions of this intermediate\n * result are then optionally cropped according to `crops` to produce the\n * output. This is the reverse of `tf.spaceToBatchND`. See below for a precise\n * description.\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [4, 1, 1, 1]);\n * const blockShape = [2, 2];\n * const crops = [[0, 0], [0, 0]];\n *\n * x.batchToSpaceND(blockShape, crops).print();\n * ```\n *\n * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +\n * remainingShape`, where spatialShape has `M` dimensions.\n * @param blockShape A 1-D array. Must have shape `[M]`, all values must\n * be >= 1.\n * @param crops A 2-D array.  Must have shape `[M, 2]`, all values must be >= 0.\n * `crops[i] = [cropStart, cropEnd]` specifies the amount to crop from input\n * dimension `i + 1`, which corresponds to spatial dimension `i`. It is required\n * that `cropStart[i] + cropEnd[i] <= blockShape[i] * inputShape[i + 1]`\n *\n * This operation is equivalent to the following steps:\n *\n * 1. Reshape `x` to `reshaped` of shape: `[blockShape[0], ...,\n * blockShape[M-1], batch / prod(blockShape), x.shape[1], ...,\n * x.shape[N-1]]`\n *\n * 2. Permute dimensions of `reshaped`to produce `permuted` of shape `[batch /\n * prod(blockShape),x.shape[1], blockShape[0], ..., x.shape[M],\n * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`\n *\n * 3. Reshape `permuted` to produce `reshapedPermuted` of shape `[batch /\n * prod(blockShape),x.shape[1] * blockShape[0], ..., x.shape[M] *\n * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`\n *\n * 4. Crop the start and end of dimensions `[1, ..., M]` of `reshapedPermuted`\n * according to `crops` to produce the output of shape: `[batch /\n * prod(blockShape),x.shape[1] * blockShape[0] - crops[0,0] - crops[0,1],\n * ..., x.shape[M] * blockShape[M-1] - crops[M-1,0] -\n * crops[M-1,1],x.shape[M+1], ..., x.shape[N-1]]`\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction batchToSpaceND_<T extends Tensor>(\n    x: T|TensorLike, blockShape: number[], crops: number[][]): T {\n  const $x = convertToTensor(x, 'x', 'batchToSpaceND');\n  const prod = blockShape.reduce((a, b) => a * b);\n\n  util.assert(\n      $x.rank >= 1 + blockShape.length,\n      () => `input rank is ${$x.rank} but should be > than blockShape.length ${\n          blockShape.length}`);\n\n  util.assert(\n      crops.length === blockShape.length,\n      () => `crops.length is ${\n          crops.length} but should be equal to blockShape.length  ${\n          blockShape.length}`);\n\n  util.assert(\n      $x.shape[0] % prod === 0,\n      () => `input tensor batch is ${\n                $x.shape[0]} but is not divisible by the product of ` +\n          `the elements of blockShape ${blockShape.join(' * ')} === ${prod}`);\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.spaceToBatchND(blockShape, crops)};\n  };\n\n  return ENGINE.runKernelFunc(\n      backend => backend.batchToSpaceND($x, blockShape, crops), {$x}, grad);\n}\n\n/**\n * This operation divides \"spatial\" dimensions `[1, ..., M]` of the input into\n * a grid of blocks of shape `blockShape`, and interleaves these blocks with\n * the \"batch\" dimension (0) such that in the output, the spatial\n * dimensions `[1, ..., M]` correspond to the position within the grid,\n * and the batch dimension combines both the position within a spatial block\n * and the original batch position. Prior to division into blocks,\n * the spatial dimensions of the input are optionally zero padded\n * according to `paddings`. See below for a precise description.\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n * const blockShape = [2, 2];\n * const paddings = [[0, 0], [0, 0]];\n *\n * x.spaceToBatchND(blockShape, paddings).print();\n * ```\n *\n * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +\n * remainingShape`, where spatialShape has `M` dimensions.\n * @param blockShape A 1-D array. Must have shape `[M]`, all values must\n * be >= 1.\n * @param paddings A 2-D array. Must have shape `[M, 2]`, all values must be >=\n *     0. `paddings[i] = [padStart, padEnd]` specifies the amount to zero-pad\n * from input dimension `i + 1`, which corresponds to spatial dimension `i`. It\n * is required that\n * `(inputShape[i + 1] + padStart + padEnd) % blockShape[i] === 0`\n *\n * This operation is equivalent to the following steps:\n *\n * 1. Zero-pad the start and end of dimensions `[1, ..., M]` of the input\n * according to `paddings` to produce `padded` of shape paddedShape.\n *\n * 2. Reshape `padded` to `reshapedPadded` of shape:\n * `[batch] + [paddedShape[1] / blockShape[0], blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1], blockShape[M-1]] + remainingShape`\n *\n * 3. Permute dimensions of `reshapedPadded` to produce `permutedReshapedPadded`\n * of shape: `blockShape + [batch] + [paddedShape[1] / blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1]] + remainingShape`\n *\n * 4. Reshape `permutedReshapedPadded` to flatten `blockShape` into the\n * batch dimension, producing an output tensor of shape:\n * `[batch * prod(blockShape)] + [paddedShape[1] / blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1]] + remainingShape`\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction spaceToBatchND_<T extends Tensor>(\n    x: T|TensorLike, blockShape: number[], paddings: number[][]): T {\n  const $x = convertToTensor(x, 'x', 'spaceToBatchND');\n\n  util.assert(\n      $x.rank >= 1 + blockShape.length,\n      () => `input rank ${$x.rank} should be > than [blockShape] ${\n          blockShape.length}`);\n\n  util.assert(\n      paddings.length === blockShape.length,\n      () => `paddings.shape[0] ${\n          paddings.length} must be equal to [blockShape] ${blockShape.length}`);\n\n  util.assert(\n      $x.shape.reduce(\n          (a, b, i) => {\n            if (i > 0 && i <= blockShape.length) {\n              return a &&\n                  ((b + paddings[i - 1][0] + paddings[i - 1][1]) %\n                       blockShape[i - 1] ===\n                   0);\n            }\n            return a;\n          },\n          true),\n      () => `input spatial dimensions ${$x.shape.slice(1)} with paddings ${\n          paddings.toString()} must be divisible by blockShapes ${\n          blockShape.toString()}`);\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.batchToSpaceND(blockShape, paddings)};\n  };\n\n  return ENGINE.runKernelFunc(\n      backend => backend.spaceToBatchND($x, blockShape, paddings), {$x}, grad);\n}\n\n/**\n * Unstacks a `tf.Tensor` of rank-`R` into a list of rank-`(R-1)` `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * tf.unstack(a).forEach(tensor => tensor.print());\n * ```\n *\n * @param x A tensor object.\n * @param axis The axis to unstack along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction unstack_(x: Tensor|TensorLike, axis = 0): Tensor[] {\n  axis = axis || 0;\n  const $x = convertToTensor(x, 'x', 'unstack');\n  util.assert(\n      axis >= -$x.shape.length && axis < $x.shape.length,\n      () =>\n          `Axis = ${axis} is not in [-${$x.shape.length}, ${$x.shape.length})`);\n  if (axis < 0) {\n    axis += $x.shape.length;\n  }\n  const grad = (dy: Tensor[]) => {\n    return {x: () => stack(dy, axis)};\n  };\n  const attrs = {axis};\n  return ENGINE.runKernelFunc(\n      backend => backend.unstack($x, axis), {x: $x}, grad, 'Unpack', attrs);\n}\n\n/**\n * Computes the cumulative sum of a `tf.Tensor` along `axis`.\n *\n * ```js\n * const x = tf.tensor([1, 2, 3, 4]);\n * x.cumsum().print();\n * ```\n * ```js\n * const x = tf.tensor([[1, 2], [3, 4]]);\n * x.cumsum().print();\n * ```\n *\n * @param x The input tensor to be summed.\n * @param axis The axis along which to sum. Optional. Defaults to 0.\n * @param exclusive Whether to perform exclusive cumulative sum. Optional.\n *     Defaults to false. If set to true then the sum of each tensor entry\n *     does not include its own value, but only the values previous to it\n *     along the specified axis.\n * @param reverse Whether to sum in the opposite direction. Optional.\n *     Defaults to false.\n */\n/** @doc {heading: 'Operations', subheading: 'Scan'} */\nfunction cumsum_<T extends Tensor>(\n    x: Tensor|TensorLike, axis = 0, exclusive = false, reverse = false): T {\n  const $x = convertToTensor(x, 'x', 'cumsum');\n\n  axis = axis | 0;\n  const permutation = getAxesPermutation([axis], $x.rank);\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX = $x.transpose(permutation);\n  }\n  const permutedAxis = getInnerMostAxes(1, $x.rank)[0];\n\n  const grad = (dy: T) => {\n    return {permutedX: () => dy.cumsum(axis, exclusive, !reverse)};\n  };\n  let value = ENGINE.runKernelFunc(\n                  backend => backend.cumsum(\n                      permutedX, permutedAxis, exclusive, reverse),\n                  {permutedX}, grad) as T;\n\n  if (permutation != null) {\n    value = value.transpose(permutation);\n  }\n  return value;\n}\n\n/**\n * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension\n * into the tensor's shape.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const axis = 1;\n * x.expandDims(axis).print();\n * ```\n *\n * @param x The input tensor whose dimensions to be expanded.\n * @param axis The dimension index at which to insert shape of `1`. Defaults\n *     to 0 (the first dimension).\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction expandDims_<R2 extends Rank>(\n    x: Tensor|TensorLike, axis = 0): Tensor<R2> {\n  const parseAs: DataType = null;\n  const $x = convertToTensor(x, 'x', 'expandDims', parseAs);\n\n  util.assert(axis <= $x.rank, () => 'Axis must be <= rank of the tensor');\n  const newShape = $x.shape.slice();\n  if (axis < 0) {\n    // Negative value is counted from the tail of rank.\n    util.assert(\n        -($x.rank + 1) <= axis,\n        () => `Axis must be in the interval [${- ($x.rank + 1)}, ${$x.rank}]`);\n    axis = $x.rank + axis + 1;\n  }\n  newShape.splice(axis, 0, 1);\n  return reshape($x, newShape as ShapeMap[R2]);\n}\n\n/**\n * Rearranges data from depth into blocks of spatial data. More specifically,\n * this op outputs a copy of the input tensor where values from the `depth`\n * dimension are moved in spatial blocks to the `height` and `width` dimensions.\n * The attr `blockSize` indicates the input block size and how the data is\n * moved.\n *\n *  - Chunks of data of size `blockSize * blockSize` from depth are rearranged\n * into non-overlapping blocks of size `blockSize x blockSize`\n *\n *  - The width the output tensor is `inputWidth * blockSize`, whereas the\n * height is `inputHeight * blockSize`\n *\n *  - The Y, X coordinates within each block of the output image are determined\n * by the high order component of the input channel index\n *\n *  - The depth of the input tensor must be divisible by `blockSize *\n * blockSize`\n *\n * The `dataFormat` attr specifies the layout of the input and output tensors\n * with the following options: \"NHWC\": [ `batch, height, width, channels` ]\n * \"NCHW\": [ `batch, channels, height, width` ]\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);\n * const blockSize = 2;\n * const dataFormat = \"NHWC\";\n *\n * tf.depthToSpace(x, blockSize, dataFormat).print();\n * ```\n *\n * @param x The input tensor of rank 4\n * @param blockSIze  An `int` that is `>= 2`. The size of the spatial block\n * @param dataFormat An optional string from: \"NHWC\", \"NCHW\". Defaults to \"NHWC\"\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction depthToSpace_(\n    x: Tensor4D|TensorLike4D, blockSize: number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC'): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'depthToSpace') as Tensor4D;\n\n  const inputHeight = (dataFormat === 'NHWC') ? $x.shape[1] : $x.shape[2];\n  const inputWidth = (dataFormat === 'NHWC') ? $x.shape[2] : $x.shape[3];\n  const inputDepth = (dataFormat === 'NHWC') ? $x.shape[3] : $x.shape[1];\n\n  util.assert(\n      inputHeight * blockSize >= 0,\n      () => `Negative dimension size caused by overflow when multiplying\n      ${inputHeight} and ${blockSize}  for depthToSpace with input shape\n      ${$x.shape}`);\n\n  util.assert(\n      inputWidth * blockSize >= 0,\n      () => `Negative dimension size caused by overflow when multiplying\n      ${inputWidth} and ${blockSize} for depthToSpace with input shape\n          ${$x.shape}`);\n\n  util.assert(\n      (inputDepth % (blockSize * blockSize) === 0),\n      () => `Dimension size must be evenly divisible by ${\n          blockSize * blockSize} but is ${\n          inputDepth} for depthToSpace with input shape ${$x.shape}`);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.depthToSpace($x, blockSize, dataFormat), {$x});\n}\n\n/**\n * Computes the difference between two lists of numbers.\n *\n * Given a Tensor `x` and a Tensor `y`, this operation returns a Tensor `out`\n * that represents all values that are in `x` but not in `y`. The returned\n * Tensor `out` is sorted in the same order that the numbers appear in `x`\n * (duplicates are preserved). This operation also returns a Tensor indices that\n * represents the position of each out element in `x`. In other words:\n *\n * `out[i] = x[idx[i]] for i in [0, 1, ..., out.length - 1]`\n *\n * ```js\n * const x = [1, 2, 3, 4, 5, 6];\n * const y = [1, 3, 5];\n *\n * const [out, indices] = await tf.setdiff1dAsync(x, y);\n * out.print(); // [2, 4, 6]\n * indices.print(); // [1, 3, 5]\n * ```\n *\n * @param x 1-D Tensor. Values to keep.\n * @param y 1-D Tensor. Must have the same type as x. Values to exclude in the\n *     output.\n * @returns Promise of Tensor tuple [out, indices].\n *  out: Tensor with the same type as x.\n *  indices: A Tensor of type int32.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nasync function setdiff1dAsync_(\n    x: Tensor|TensorLike, y: Tensor|TensorLike): Promise<[Tensor, Tensor]> {\n  const $x = convertToTensor(x, 'x', 'setdiff1d');\n  const $y = convertToTensor(y, 'y', 'setdiff1d');\n\n  util.assert(\n      $x.dtype === $y.dtype,\n      () => `x and y should have the same dtype, but got x (${\n          $x.dtype}) and y (${$y.dtype}).`);\n\n  util.assert(\n      $x.rank === 1, () => `x should be 1D tensor, but got x (${$x.shape}).`);\n\n  util.assert(\n      $y.rank === 1, () => `y should be 1D tensor, but got y (${$y.shape}).`);\n\n  const xVals = await $x.data();\n  const yVals = await $y.data();\n  const ySet = new Set(yVals);\n\n  let outputSize = 0;\n  for (let i = 0; i < xVals.length; i++) {\n    if (!ySet.has(xVals[i])) {\n      outputSize++;\n    }\n  }\n\n  const buffer = new TensorBuffer([outputSize], $x.dtype);\n  const indices = new TensorBuffer([outputSize], 'int32');\n  for (let i = 0, p = 0; i < xVals.length; i++) {\n    if (!ySet.has(xVals[i])) {\n      buffer.values[p] = xVals[i];\n      indices.values[p] = i;\n      p++;\n    }\n  }\n  return [buffer.toTensor(), indices.toTensor()];\n}\n\n/**\n * Creates an empty `tf.TensorBuffer` with the specified `shape` and `dtype`.\n *\n * The values are stored in CPU as `TypedArray`. Fill the buffer using\n * `buffer.set()`, or by modifying directly `buffer.values`.\n *\n * When done, call `buffer.toTensor()` to get an immutable `tf.Tensor` with\n * those values.\n *\n * ```js\n * // Create a buffer and set values at particular indices.\n * const buffer = tf.buffer([2, 2]);\n * buffer.set(3, 0, 0);\n * buffer.set(5, 1, 0);\n *\n * // Convert the buffer back to a tensor.\n * buffer.toTensor().print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The dtype of the buffer. Defaults to 'float32'.\n * @param values The values of the buffer as `TypedArray`. Defaults to\n * zeros.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction buffer<R extends Rank, D extends DataType = 'float32'>(\n    shape: ShapeMap[R], dtype: D = 'float32' as D,\n    values?: DataTypeMap[D]): TensorBuffer<R, D> {\n  dtype = dtype || 'float32' as D;\n  util.assertNonNegativeIntegerDimensions(shape);\n  return new TensorBuffer<R, D>(shape, dtype, values);\n}\n\n/**\n * Prints information about the `tf.Tensor` including its data.\n *\n * ```js\n * const verbose = true;\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print(verbose);\n * ```\n * @param x The tensor to be printed.\n * @param verbose Whether to print verbose information about the ` Tensor`,\n * including dtype and size.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction print<T extends Tensor>(x: T, verbose = false): void {\n  console.log(x.toString(verbose));\n}\n\nexport {\n  buffer,  // Not wrapped in op() since no tensors.\n  print    // Not wrapped in op() since no need to increase stack trace.\n};\n\nexport const batchToSpaceND = op({batchToSpaceND_});\nexport const broadcastTo = op({broadcastTo_});\nexport const cast = op({cast_});\nexport const clone = op({clone_});\nexport const cumsum = op({cumsum_});\nexport const depthToSpace = op({depthToSpace_});\nexport const expandDims = op({expandDims_});\nexport const eye = op({eye_});\nexport const multinomial = op({multinomial_});\nexport const oneHot = op({oneHot_});\nexport const pad = op({pad_});\nexport const pad1d = op({pad1d_});\nexport const pad2d = op({pad2d_});\nexport const pad3d = op({pad3d_});\nexport const pad4d = op({pad4d_});\nexport const rand = op({rand_});\nexport const randomNormal = op({randomNormal_});\nexport const randomGamma = op({randomGamma_});\nexport const randomUniform = op({randomUniform_});\nexport const reshape = op({reshape_});\nexport const spaceToBatchND = op({spaceToBatchND_});\nexport const squeeze = op({squeeze_});\nexport const stack = op({stack_});\nexport const tile = op({tile_});\nexport const truncatedNormal = op({truncatedNormal_});\nexport const unstack = op({unstack_});\nexport const setdiff1dAsync = setdiff1dAsync_;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Gets the new shape of the input Tensor after it's been reshaped\n * to:\n * [blockShape[0], ..., blockShape[M-1], batch / prod(blockShape),\n * inputShape[1], ..., inputShape[N-1]]\n *\n * See step 1: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getReshaped(\n    inputShape: number[], blockShape: number[], prod: number,\n    batchToSpace = true): number[] {\n  let reshaped: number[] = [];\n  if (batchToSpace) {\n    reshaped = reshaped.concat(blockShape.slice(0));\n    reshaped.push(inputShape[0] / prod);\n    reshaped = reshaped.concat(inputShape.slice(1));\n  } else {\n    reshaped = reshaped.concat(inputShape[0]);\n    const spatialLength = blockShape.length;\n    for (let i = 0; i < spatialLength; ++i) {\n      reshaped =\n          reshaped.concat([inputShape[i + 1] / blockShape[i], blockShape[i]]);\n    }\n    reshaped = reshaped.concat(inputShape.slice(spatialLength + 1));\n  }\n  return reshaped;\n}\n\n/**\n * Gets the permutation that will transpose the dimensions of the\n * reshaped tensor to shape:\n *\n * [batch / prod(block_shape),inputShape[1], blockShape[0], ...,\n * inputShape[M], blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * see step 2: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getPermuted(\n    reshapedRank: number, blockShapeRank: number,\n    batchToSpace = true): number[] {\n  const permuted = [];\n  if (batchToSpace) {\n    permuted.push(blockShapeRank);\n    for (let i = blockShapeRank + 1; i < reshapedRank; ++i) {\n      if (i <= 2 * blockShapeRank) {\n        permuted.push(i);\n        permuted.push(i - (blockShapeRank + 1));\n      } else {\n        permuted.push(i);\n      }\n    }\n  } else {\n    const permutedBeforeBatch = [];\n    const permutedAfterBatch = [];\n    for (let i = 1; i < reshapedRank; ++i) {\n      if (i >= blockShapeRank * 2 + 1 || i % 2 === 1) {\n        permutedAfterBatch.push(i);\n      } else {\n        permutedBeforeBatch.push(i);\n      }\n    }\n    permuted.push(...permutedBeforeBatch);\n    permuted.push(0);\n    permuted.push(...permutedAfterBatch);\n  }\n  return permuted;\n}\n\n/**\n * Gets the shape of the reshaped and permuted input Tensor before any cropping\n * is applied.  The new shape will be:\n *\n * [batch / prod(blockShape),inputShape[1] * blockShape[0], ...,\n * inputShape[M] * blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * See step 3: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getReshapedPermuted(\n    inputShape: number[], blockShape: number[], prod: number,\n    batchToSpace = true): number[] {\n  const reshapedPermuted = [];\n\n  if (batchToSpace) {\n    reshapedPermuted.push(inputShape[0] / prod);\n  } else {\n    reshapedPermuted.push(inputShape[0] * prod);\n  }\n\n  for (let i = 1; i < inputShape.length; ++i) {\n    if (i <= blockShape.length) {\n      if (batchToSpace) {\n        reshapedPermuted.push(blockShape[i - 1] * inputShape[i]);\n      } else {\n        reshapedPermuted.push(inputShape[i] / blockShape[i - 1]);\n      }\n    } else {\n      reshapedPermuted.push(inputShape[i]);\n    }\n  }\n\n  return reshapedPermuted;\n}\n\n/**\n * Converts the crops argument into the beginning coordinates of a slice\n * operation.\n */\nexport function getSliceBeginCoords(\n    crops: number[][], blockShape: number): number[] {\n  const sliceBeginCoords = [0];\n  for (let i = 0; i < blockShape; ++i) {\n    sliceBeginCoords.push(crops[i][0]);\n  }\n  return sliceBeginCoords;\n}\n\n/**\n * Converts the crops argument into the size of a slice operation.  When\n * combined with getSliceBeginCoords this function allows the reshaped and\n * permuted Tensor to be cropped to its final output shape of:\n *\n * inputShape[1] * blockShape[0] - crops[0,0] - crops[0,1], ...,\n * inputShape[M] * blockShape[M-1] -crops[M-1,0] -\n * crops[M-1,1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * See step 4: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getSliceSize(\n    uncroppedShape: number[], crops: number[][], blockShape: number): number[] {\n  const sliceSize = uncroppedShape.slice(0, 1);\n  for (let i = 0; i < blockShape; ++i) {\n    sliceSize.push(uncroppedShape[i + 1] - crops[i][0] - crops[i][1]);\n  }\n\n  return sliceSize;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '../tensor';\nimport {computeStrides} from '../util';\n\n/**\n * Validate gather nd inputs.\n *\n * @param tensor The tensor contains the source values.\n * @param indices The tensor contains the indices to slice the source.\n *\n * @returns [resultShape, numUpdates, sliceSize, strides]\n */\nexport function prepareAndValidate(\n    tensor: Tensor, indices: Tensor): [number[], number, number, number[]] {\n  if (tensor.rank < 1) {\n    throw new Error(\n        'tf.gatherND() expects the input to be rank 1 or higher,' +\n        ` but the rank was ${tensor.rank}.`);\n  }\n  if (indices.rank < 1) {\n    throw new Error(\n        'tf.gatherND() expects the indices to be rank 1 or higher,' +\n        ` but the rank was ${indices.rank}.`);\n  }\n  if (indices.dtype !== 'int32') {\n    throw new Error(\n        'tf.gatherND() expects the indices to be int32 type,' +\n        ` but the dtype was ${indices.dtype}.`);\n  }\n  if (indices.shape[indices.rank - 1] > tensor.rank) {\n    throw new Error(\n        'index innermost dimension length must be <= tensor rank; saw: ' +\n        `${indices.shape[indices.rank - 1]} vs. ${tensor.rank}`);\n  }\n\n  if (tensor.size === 0) {\n    throw new Error(\n        'Requested more than 0 entries, but input is empty.' +\n        ` Input shape: ${tensor.shape}.`);\n  }\n\n  const indicesShape = indices.shape;\n  const sliceRank = indicesShape[indicesShape.length - 1];\n\n  // The result shape is\n  //   indices.shape[:-1] + params.shape[indices.shape[-1]:]\n  let nResult = 1;\n  for (let i = 0; i < indicesShape.length - 1; ++i) {\n    nResult *= indicesShape[i];\n  }\n\n  const inputShape = tensor.shape;\n\n  const resultShape = indicesShape.slice();\n  resultShape.pop();\n\n  let sliceSize = 1;\n  for (let i = sliceRank; i < tensor.rank; ++i) {\n    sliceSize *= inputShape[i];\n    resultShape.push(inputShape[i]);\n  }\n\n  const strides =\n      [...computeStrides(tensor.shape).map(stride => stride / sliceSize),\n       1].slice(0, sliceRank);\n\n  return [resultShape, nResult, sliceSize, strides];\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Inputs of size above this threshold will be parallelized by calling multiple\n * shader programs.\n */\nimport {nearestDivisor} from '../util';\n\nexport const PARALLELIZE_THRESHOLD = 30;\n\nexport interface ReduceInfo {\n  windowSize: number;\n  batchSize: number;\n  inSize: number;\n}\n\nexport function computeOptimalWindowSize(inSize: number): number {\n  if (inSize <= PARALLELIZE_THRESHOLD) {\n    return inSize;\n  }\n  return nearestDivisor(inSize, Math.floor(Math.sqrt(inSize)));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {TensorInfo} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {computeStrides, sizeFromShape} from '../util';\n\n/**\n * Check whether updates.shape = indices.shape[:batchDim] +\n * shape[sliceDim:]\n *\n * @param x The input tensor.\n */\nexport function validateUpdateShape(\n    shape: number[], indices: Tensor, updates: Tensor) {\n  const sliceDim = (indices.rank > 1) ? indices.shape[indices.rank - 1] : 1;\n  const batchDim = (indices.rank > 1) ? indices.rank - 1 : 1;\n\n  const shapeError = 'Must have updates.shape = indices.shape[:batchDim] + ' +\n      `shape[sliceDim:], got updates.shape: ${updates.shape}` +\n      `, indices.shape: ${indices.shape}, shape: ${shape}` +\n      `, sliceDim: ${sliceDim}, and batchDim: ${batchDim}.`;\n\n  if (updates.rank < batchDim) {\n    throw new Error(shapeError + ` update.rank < ${batchDim}. `);\n  }\n  if (shape.length < sliceDim + (updates.rank - batchDim)) {\n    throw new Error(\n        shapeError +\n        ` Output shape length < ${sliceDim + (updates.rank - batchDim)}`);\n  }\n  if (updates.rank !== batchDim + shape.length - sliceDim) {\n    throw new Error(\n        shapeError + ` update.rank != ${batchDim + shape.length - sliceDim}`);\n  }\n  for (let d = 0; d < batchDim; ++d) {\n    if (updates.shape[d] !== indices.shape[d]) {\n      throw new Error(\n          shapeError +\n          ` updates.shape[${d}] (${updates.shape[d]}) != indices.shape[${d}] (${\n              indices.shape[d]}).`);\n    }\n  }\n  for (let d = 0; d < updates.rank - batchDim; ++d) {\n    if (updates.shape[d + batchDim] !== shape[d + sliceDim]) {\n      throw new Error(\n          shapeError +\n          ` updates.shape[${d + batchDim}] (${\n              updates.shape[d + batchDim]}) != shape[${d + batchDim}] (${\n              shape[d + batchDim]})`);\n    }\n  }\n}\n\nexport interface ScatterShapeInfo {\n  sliceRank: number;\n  numUpdates: number;\n  sliceSize: number;\n  strides: number[];\n  outputSize: number;\n}\n/**\n * Validate scatter nd inputs.\n *\n * @param update The tensor contains the update values.\n * @param indices The tensor contains the indices for the update values.\n * @param shape The shape of the output tensor.\n */\nexport function validateInput(\n    updates: Tensor, indices: Tensor, shape: number[]) {\n  if (indices.rank < 1) {\n    throw new Error(\n        'tf.scatterND() expects the indices to be rank 1 or higher,' +\n        ` but the rank was ${indices.rank}.`);\n  }\n  if (updates.rank < 1) {\n    throw new Error(\n        'tf.scatterND() expects the updates to be rank 1 or higher,' +\n        ` but the rank was ${updates.rank}.`);\n  }\n  if (indices.dtype !== 'int32') {\n    throw new Error(`The dtype of 'indices' should be int32, but got dtype: ${\n        indices.dtype}`);\n  }\n  if (shape.length < 1) {\n    throw new Error(\n        `Output rank must be greater or equal to 1, but got shape: ${shape}`);\n  }\n\n  if (shape.length === 0) {\n    if (indices.size === 0) {\n      throw new Error(`Indices specified for empty output. indices shape: ${\n          indices.shape}`);\n    }\n    if (updates.size === 0) {\n      throw new Error(`Updates specified for empty output. updates shape: ${\n          updates.shape}`);\n    }\n  }\n\n  validateUpdateShape(shape, indices, updates);\n}\n\n/**\n * Calculate the shape information for the output.\n *\n * @param update The tensor contains the update values.\n * @param indices The tensor contains the indices for the update values.\n * @param shape The shape of the output tensor.\n *\n * @returns ScatterShapeInfo\n */\nexport function calculateShapes(\n    updates: TensorInfo, indices: TensorInfo,\n    shape: number[]): ScatterShapeInfo {\n  // Calculate the number of dimensions in indices\n  const indicesRank = indices.shape.length;\n  const sliceRank = (indicesRank > 1) ? indices.shape[indicesRank - 1] : 1;\n\n  // Calculate the number of elements that make up each slice of our updated\n  // tensor. This allows us to work with flattened tensors and copy over whole\n  // slices at a time.\n  const totalNd = shape.length;\n\n  let sliceSize = 1;\n  for (let i = sliceRank; i < totalNd; ++i) {\n    sliceSize *= shape[i];\n  }\n\n  const safeSliceDim = (sliceRank < 1) ? 1 : sliceRank;\n  const numUpdates = sizeFromShape(indices.shape) / safeSliceDim;\n\n  const strides = [...computeStrides(shape.slice(0, sliceRank)), 1];\n  const outputSize = sizeFromShape(shape);\n  return {sliceRank, numUpdates, sliceSize, strides, outputSize};\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport * as util from '../util';\n\nexport function assertParamsValid(\n    input: Tensor, begin: number[], size: number[]): void {\n  util.assert(\n      input.rank === begin.length,\n      () => `Error in slice${input.rank}D: Length of begin ${begin} must ` +\n          `match the rank of the array (${input.rank}).`);\n  util.assert(\n      input.rank === size.length,\n      () => `Error in slice${input.rank}D: Length of size ${size} must ` +\n          `match the rank of the array (${input.rank}).`);\n\n  for (let i = 0; i < input.rank; ++i) {\n    util.assert(\n        begin[i] + size[i] <= input.shape[i],\n        () => `Error in slice${input.rank}D: begin[${i}] + size[${i}] ` +\n            `(${begin[i] + size[i]}) would overflow input.shape[${i}] (${\n                  input.shape[i]})`);\n  }\n}\n\n/** Converts a binary mask to an array of axes. Used in stridedSlice(). */\nexport function maskToAxes(mask: number): number[] {\n  const axes = [];\n  let axis = 0;\n  while (mask > 0) {\n    if (mask & 1) {\n      axes.push(axis);\n    }\n    mask /= 2;\n    axis++;\n  }\n  return axes;\n}\n\n/** Computes the output shape given the strided slice params. */\nexport function computeOutShape(\n    begin: number[], end: number[], strides: number[]): number[] {\n  const size = [];\n  for (let axis = 0; axis < begin.length; axis++) {\n    size[axis] = Math.ceil((end[axis] - begin[axis]) / strides[axis]);\n  }\n  return size;\n}\n\nexport function startForAxis(\n    beginMask: number, startIndices: number[], strides: number[],\n    inputShape: number[], axis: number): number {\n  // Begin with the specified index\n  let start = startIndices[axis];\n  const stride = strides[axis] || 1;\n\n  // Check the axis bit from right of beginMask or the begin index is not set\n  // for the axis.\n  if (beginMask & 1 << axis || start == null) {\n    if (stride > 0) {\n      // Forward iteration - use the first element. These values will get\n      // clamped below (Note: We could have set them to 0 and axis_size-1, but\n      // use lowest() and max() to maintain symmetry with StopForAxis())\n      start = Number.MIN_SAFE_INTEGER;\n    } else {\n      // Backward iteration - use the last element.\n      start = Number.MAX_SAFE_INTEGER;\n    }\n  }\n\n  // Handle negative indices\n  const axisSize = inputShape[axis];\n  if (start < 0) {\n    start += axisSize;\n  }\n\n  // Clamping\n  start = util.clamp(0, start, axisSize - 1);\n\n  return start;\n}\n\nexport function stopForAxis(\n    endMask: number, stopIndices: number[], strides: number[],\n    inputShape: number[], axis: number): number {\n  // Begin with the specified index\n  let stop = stopIndices[axis];\n  const stride = strides[axis] || 1;\n\n  // Check the axis bit from right of endMask or if the stop index is not set\n  // for this axis.\n  if (endMask & (1 << axis) || stop == null) {\n    if (stride > 0) {\n      // Forward iteration - use the last element. These values will get\n      // clamped below\n      stop = Number.MAX_SAFE_INTEGER;\n    } else {\n      // Backward iteration - use the first element.\n      stop = Number.MIN_SAFE_INTEGER;\n    }\n  }\n\n  // Handle negative indices\n  const axisSize = inputShape[axis];\n  if (stop < 0) {\n    stop += axisSize;\n  }\n\n  // Clamping\n  // Because the end index points one past the last element, we need slightly\n  // different clamping ranges depending on the direction.\n  if (stride > 0) {\n    // Forward iteration\n    stop = util.clamp(0, stop, axisSize);\n  } else {\n    // Backward iteration\n    stop = util.clamp(-1, stop, axisSize - 1);\n  }\n\n  return stop;\n}\n\n/**\n * Returns true if the slice occupies a continous set of elements in the\n * 'flat' space.\n */\nexport function isSliceContinous(\n    shape: number[], begin: number[], size: number[]) {\n  // Index of the first axis that has size > 1.\n  let firstNonOneAxis = size.length;\n  for (let i = 0; i < size.length; i++) {\n    if (size[i] > 1) {\n      firstNonOneAxis = i;\n      break;\n    }\n  }\n\n  for (let i = firstNonOneAxis + 1; i < size.length; i++) {\n    if (begin[i] > 0 || size[i] !== shape[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function computeFlatOffset(begin: number[], strides: number[]): number {\n  let flatOffset = begin.length > 0 ? begin[begin.length - 1] : 1;\n  for (let i = 0; i < begin.length - 1; i++) {\n    flatOffset += begin[i] * strides[i];\n  }\n  return flatOffset;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {CustomGradientFunc, ENGINE} from './engine';\nimport {Scalar, Tensor, Variable} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {convertToTensor, convertToTensorArray} from './tensor_util_env';\nimport {TensorLike} from './types';\nimport * as util from './util';\n\n/**\n * Provided `f(x)`, returns another function `g(x, dy?)`, which gives the\n * gradient of `f(x)` with respect to `x`.\n *\n * If `dy` is provided, the gradient of `f(x).mul(dy).sum()` with respect to\n * `x` is computed instead. `f(x)` must take a single tensor `x` and return a\n * single tensor `y`. If `f()` takes multiple inputs, use `tf.grads` instead.\n *\n * ```js\n * // f(x) = x ^ 2\n * const f = x => x.square();\n * // f'(x) = 2x\n * const g = tf.grad(f);\n *\n * const x = tf.tensor1d([2, 3]);\n * g(x).print();\n * ```\n *\n * ```js\n * // f(x) = x ^ 3\n * const f = x => x.pow(tf.scalar(3, 'int32'));\n * // f'(x) = 3x ^ 2\n * const g = tf.grad(f);\n * // f''(x) = 6x\n * const gg = tf.grad(g);\n *\n * const x = tf.tensor1d([2, 3]);\n * gg(x).print();\n * ```\n *\n * @param f The function f(x), to compute gradient for.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction grad(f: (x: Tensor) => Tensor): (\n    x: TensorLike|Tensor, dy?: TensorLike|Tensor) => Tensor {\n  util.assert(\n      util.isFunction(f), () => 'The f passed in grad(f) must be a function');\n  return (x: TensorLike|Tensor, dy?: TensorLike|Tensor): Tensor => {\n    // x can be of any dtype, thus null as the last argument.\n    const $x = convertToTensor(x, 'x', 'tf.grad', null);\n    const $dy: Tensor =\n        (dy != null) ? convertToTensor(dy, 'dy', 'tf.grad') : null;\n    return ENGINE.tidy(() => {\n      const {value, grads} = ENGINE.gradients(() => f($x), [$x], $dy);\n      if ($dy != null) {\n        util.assertShapesMatch(\n            value.shape, $dy.shape,\n            'The shape of dy passed in grad(f)(x, dy) must match the shape ' +\n                'returned by f(x)');\n      }\n      checkGrads(grads);\n      return grads[0];\n    });\n  };\n}\n\n/**\n * Provided `f(x1, x2,...)`, returns another function `g([x1, x2,...], dy?)`,\n * which gives an array of gradients of `f()` with respect to each input\n * [`x1`,`x2`,...].\n *\n * If `dy` is passed when calling `g()`, the gradient of\n * `f(x1,...).mul(dy).sum()` with respect to each input is computed instead.\n * The provided `f` must take one or more tensors and return a single tensor\n * `y`. If `f()` takes a single input, we recommend using `tf.grad` instead.\n *\n * ```js\n * // f(a, b) = a * b\n * const f = (a, b) => a.mul(b);\n * // df / da = b, df / db = a\n * const g = tf.grads(f);\n *\n * const a = tf.tensor1d([2, 3]);\n * const b = tf.tensor1d([-2, -3]);\n * const [da, db] = g([a, b]);\n * console.log('da');\n * da.print();\n * console.log('db');\n * db.print();\n * ```\n *\n * @param f The function `f(x1, x2,...)` to compute gradients for.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction grads(f: (...args: Tensor[]) => Tensor): (\n    args: Array<Tensor|TensorLike>, dy?: Tensor|TensorLike) => Tensor[] {\n  util.assert(\n      util.isFunction(f), () => 'The f passed in grads(f) must be a function');\n  return (args: Array<Tensor|TensorLike>, dy?: Tensor|TensorLike): Tensor[] => {\n    util.assert(\n        Array.isArray(args),\n        () => 'The args passed in grads(f)(args) must be an array ' +\n            'of `Tensor`s or `TensorLike`s');\n    // args can be of any dtype, thus null as the last argument.\n    const $args = convertToTensorArray(args, 'args', 'tf.grads', null);\n    const $dy: Tensor =\n        (dy != null) ? convertToTensor(dy, 'dy', 'tf.grads') : null;\n    return ENGINE.tidy(() => {\n      const {value, grads} = ENGINE.gradients(() => f(...$args), $args, $dy);\n      if ($dy != null) {\n        util.assertShapesMatch(\n            value.shape, $dy.shape,\n            'The shape of dy passed in grads(f)([x1,...], dy) must ' +\n                'match the shape returned by f([x1,...])');\n      }\n      checkGrads(grads);\n      return grads;\n    });\n  };\n}\n\n/**\n * Like `tf.grad`, but also returns the value of `f()`. Useful when `f()`\n * returns a metric you want to show.\n *\n * The result is a rich object with the following properties:\n * - grad: The gradient of `f(x)` w.r.t `x` (result of `tf.grad`).\n * - value: The value returned by `f(x)`.\n *\n * ```js\n * // f(x) = x ^ 2\n * const f = x => x.square();\n * // f'(x) = 2x\n * const g = tf.valueAndGrad(f);\n *\n * const x = tf.tensor1d([2, 3]);\n * const {value, grad} = g(x);\n *\n * console.log('value');\n * value.print();\n * console.log('grad');\n * grad.print();\n * ```\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction valueAndGrad<I extends Tensor, O extends Tensor>(f: (x: I) => O): (\n    x: I, dy?: O) => {\n  value: O;\n  grad: I;\n} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in valueAndGrad(f) must be a function');\n  return (x: I, dy?: O) => {\n    util.assert(\n        x instanceof Tensor,\n        () => 'The x passed in valueAndGrad(f)(x) must be a tensor');\n    util.assert(\n        dy == null || dy instanceof Tensor,\n        () => 'The dy passed in valueAndGrad(f)(x, dy) must be a tensor');\n    const {grads, value} = ENGINE.gradients(() => f(x), [x], dy);\n    checkGrads(grads);\n    return {grad: grads[0] as I, value};\n  };\n}\n\n/**\n * Like `tf.grads`, but returns also the value of `f()`. Useful when `f()`\n * returns a metric you want to show.\n *\n * The result is a rich object with the following properties:\n * - grads: The gradients of `f()` w.r.t each input (result of `tf.grads`).\n * - value: The value returned by `f(x)`.\n *\n * ```js\n * // f(a, b) = a * b\n * const f = (a, b) => a.mul(b);\n * // df/da = b, df/db = a\n * const g = tf.valueAndGrads(f);\n *\n * const a = tf.tensor1d([2, 3]);\n * const b = tf.tensor1d([-2, -3]);\n * const {value, grads} = g([a, b]);\n *\n * const [da, db] = grads;\n *\n * console.log('value');\n * value.print();\n *\n * console.log('da');\n * da.print();\n * console.log('db');\n * db.print();\n * ```\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction valueAndGrads<O extends Tensor>(f: (...args: Tensor[]) => O): (\n    args: Tensor[], dy?: O) => {\n  grads: Tensor[];\n  value: O;\n} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in valueAndGrads(f) must be a function');\n  return (args: Tensor[], dy?: O) => {\n    util.assert(\n        Array.isArray(args) && args.every(arg => arg instanceof Tensor),\n        () => 'The args passed in valueAndGrads(f)(args) must be array of ' +\n            'tensors');\n    util.assert(\n        dy == null || dy instanceof Tensor,\n        () => 'The dy passed in valueAndGrads(f)(args, dy) must be a tensor');\n    const res = ENGINE.gradients(() => f(...args), args, dy);\n    if (dy != null) {\n      util.assertShapesMatch(\n          res.value.shape, dy.shape,\n          'The shape of dy passed in valueAndGrads(f)([x1,...], dy) must ' +\n              'match the shape returned by f([x1,...])');\n    }\n    checkGrads(res.grads);\n    return res;\n  };\n}\n\n/**\n * Computes and returns the gradient of f(x) with respect to the list of\n * trainable variables provided by `varList`. If no list is provided, it\n * defaults to all trainable variables.\n *\n * ```js\n * const a = tf.variable(tf.tensor1d([3, 4]));\n * const b = tf.variable(tf.tensor1d([5, 6]));\n * const x = tf.tensor1d([1, 2]);\n *\n * // f(a, b) = a * x ^ 2 + b * x\n * const f = () => a.mul(x.square()).add(b.mul(x)).sum();\n * // df/da = x ^ 2, df/db = x\n * const {value, grads} = tf.variableGrads(f);\n *\n * Object.keys(grads).forEach(varName => grads[varName].print());\n * ```\n *\n * @param f The function to execute. f() should return a scalar.\n * @param varList The list of variables to compute the gradients with respect\n *     to. Defaults to all trainable variables.\n * @returns An object with the following keys and values:\n *   - `value`: The value of the function `f`.\n *   - `grads`: A map from the names of the variables to the gradients.\n *     If the `varList` argument is provided explicitly and contains a subset of\n *     non-trainable variables, this map in the return value will contain keys\n *     that map the names of the non-trainable variables to `null`.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction variableGrads(f: () => Scalar, varList?: Variable[]):\n    {value: Scalar, grads: NamedTensorMap} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in variableGrads(f) must be a function');\n  util.assert(\n      varList == null ||\n          Array.isArray(varList) && varList.every(v => v instanceof Variable),\n      () =>\n          'The varList passed in variableGrads(f, varList) must be an array ' +\n          'of variables');\n\n  const specifiedVarList = varList != null;\n  if (!specifiedVarList) {\n    // Get all of the trainable variables.\n    varList = [];\n    for (const varName in ENGINE.registeredVariables) {\n      varList.push(ENGINE.registeredVariables[varName]);\n    }\n  }\n\n  const specifiedNonTrainable: Variable[] =\n      specifiedVarList ? varList.filter(variable => !variable.trainable) : null;\n\n  // Prune non-trainable variables.\n  const originalVarCount = varList.length;\n  varList = varList.filter(variable => variable.trainable);\n  util.assert(\n      varList.length > 0,\n      () => `variableGrads() expects at least one of the input variables to ` +\n          `be trainable, but none of the ${originalVarCount} variables is ` +\n          `trainable.`);\n\n  const allowNoGradients = true;\n  const {value, grads} = ENGINE.gradients(f, varList, null, allowNoGradients);\n\n  util.assert(\n      grads.some(g => g != null),\n      () => 'Cannot find a connection between any variable and the result of ' +\n          'the loss function y=f(x). Please make sure the operations that ' +\n          'use variables are inside the function f passed to minimize().');\n  util.assert(\n      value.rank === 0,\n      () => `The f passed in variableGrads(f) must return a scalar, but it ` +\n          `returned a rank-${value.rank} tensor`);\n\n  const namedGrads: NamedTensorMap = {};\n  varList.forEach((v, i) => {\n    if (grads[i] != null) {\n      namedGrads[v.name] = grads[i];\n    }\n  });\n  if (specifiedNonTrainable != null) {\n    // If varList is explicitly provided and contains non-trainable values,\n    // add them to the returned gradients with `null` values.\n    specifiedNonTrainable.forEach(v => namedGrads[v.name] = null);\n  }\n  return {value, grads: namedGrads};\n}\n\n/**\n * Overrides the gradient computation of a function `f`.\n *\n * Takes a function\n * `f(...inputs, save) => {value: Tensor, gradFunc: (dy, saved) => Tensor[]}`\n * and returns another function `g(...inputs)` which takes the same inputs as\n * `f`. When called, `g` returns `f().value`. In backward mode, custom gradients\n * with respect to each input of `f` are computed using `f().gradFunc`.\n *\n * The `save` function passsed to `f` should be used for saving tensors needed\n * in the gradient. And the `saved` passed to the `gradFunc` is a\n * `NamedTensorMap`, which contains those saved tensor.\n *\n * ```js\n * const customOp = tf.customGrad((x, save) => {\n *   // Save x to make sure it's available later for the gradient.\n *   save([x]);\n *   // Override gradient of our custom x ^ 2 op to be dy * abs(x);\n *   return {\n *     value: x.square(),\n *     // Note `saved.x` which points to the `x` we saved earlier.\n *     gradFunc: (dy, saved) => [dy.mul(saved[0].abs())]\n *   };\n * });\n *\n * const x = tf.tensor1d([-1, -2, 3]);\n * const dx = tf.grad(x => customOp(x));\n *\n * console.log(`f(x):`);\n * customOp(x).print();\n * console.log(`f'(x):`);\n * dx(x).print();\n * ```\n *\n * @param f The function to evaluate in forward mode, which should return\n *     `{value: Tensor, gradFunc: (dy, saved) => Tensor[]}`, where `gradFunc`\n *     returns the custom gradients of `f` with respect to its inputs.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction customGrad<T extends Tensor>(f: CustomGradientFunc<T>):\n    (...args: Tensor[]) => T {\n  return ENGINE.customGrad(f);\n}\n\nfunction checkGrads(grads: Tensor[]) {\n  const numNullGradients = grads.filter(g => g == null).length;\n  if (numNullGradients > 0) {\n    throw new Error(\n        `Cannot compute gradient of y=f(x) with respect to x. Make sure that\n    the f you passed encloses all operations that lead from x to y.`);\n  }\n}\n\nexport {\n  customGrad,\n  variableGrads,\n  valueAndGrad,\n  valueAndGrads,\n  grad,\n  grads,\n};\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {GradSaveFunc} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Computes the softmax normalized vector given the logits.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n *\n * a.softmax().print();  // or tf.softmax(a)\n * ```\n *\n * ```js\n * const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);\n *\n * a.softmax().print();  // or tf.softmax(a)\n * ```\n *\n * @param logits The logits array.\n * @param dim The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction softmax_<T extends Tensor>(logits: T|TensorLike, dim = -1): T {\n  const $logits = convertToTensor(logits, 'logits', 'softmax');\n\n  if (dim === -1) {\n    dim = $logits.rank - 1;\n  }\n  if (dim !== $logits.rank - 1) {\n    throw Error(\n        'Softmax along a non-last dimension is not yet supported. ' +\n        `Logits was rank ${$logits.rank} and dim was ${dim}`);\n  }\n\n  const customOp = customGrad((logits: Tensor, save: GradSaveFunc) => {\n    // Do it in log space for numerical stability.\n    // exp(X - logSumExp(X))\n    const keepDims = true;\n    const lse = logits.logSumExp([dim], keepDims);\n    const logResult = logits.toFloat().sub(lse);\n    const y = logResult.exp() as T;\n    save([y]);\n    const gradFunc = (dy: T, saved: Tensor[]) => {\n      const [y] = saved;\n      const dyTimesY = dy.mul(y);\n      const keepDims = true;\n      return dyTimesY.sub(dyTimesY.sum([dim], keepDims).mul(y));\n    };\n\n    return {value: y, gradFunc};\n  });\n\n  return customOp($logits);\n}\n\n/**\n * Computes the log softmax.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n *\n * a.logSoftmax().print();  // or tf.logSoftmax(a)\n * ```\n *\n * ```js\n * const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);\n *\n * a.logSoftmax().print();  // or tf.logSoftmax(a)\n * ```\n *\n * @param logits The logits array.\n * @param axis The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction logSoftmax_<T extends Tensor>(logits: T|TensorLike, axis = -1): T {\n  const $logits = convertToTensor(logits, 'logits', 'logSoftmax');\n\n  if (axis === -1) {\n    axis = $logits.rank - 1;\n  }\n  if (axis !== $logits.rank - 1) {\n    throw Error(\n        'Log Softmax along a non-last dimension is not yet supported. ' +\n        `Logits was rank ${$logits.rank} and axis was ${axis}`);\n  }\n\n  const customOp = customGrad((logits: Tensor, save: GradSaveFunc) => {\n    const keepDims = true;\n    const xMax = logits.max(axis, true);\n    const shifted = logits.sub(xMax);\n    const value =\n        shifted.toFloat().sub(shifted.exp().sum(axis, keepDims).log());\n    save([value]);\n    const gradFunc = (dy: T, saved: Tensor[]) => {\n      const [value] = saved;\n      const softmax = value.exp();\n      return dy.sub(dy.sum(axis, keepDims).mul(softmax));\n    };\n\n    return {value, gradFunc};\n  });\n\n  return customOp($logits) as T;\n}\n\nexport const softmax = op({softmax_});\nexport const logSoftmax = op({logSoftmax_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../ops/conv_util';\nimport {FusedBatchMatMulConfig, FusedConv2DConfig} from '../ops/fused_util';\nimport {Backend, DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {BackendValues, DataType, Rank, ShapeMap} from '../types';\n\nexport const EPSILON_FLOAT32 = 1e-7;\nexport const EPSILON_FLOAT16 = 1e-4;\n\n// Required information for all backends.\nexport interface BackendTimingInfo {\n  kernelMs: number;\n  getExtraProfileInfo?(): string;  // a field for additional timing information\n                                   // e.g. packing / unpacking for WebGL backend\n}\n\nexport interface TensorStorage {\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n  disposeData(dataId: DataId): void;\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId;\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void;\n  memory(): {unreliable: boolean;};  // Backend-specific information.\n  /** Returns number of data ids currently in the storage. */\n  numDataIds(): number;\n}\n\n/** Convenient class for storing tensor-related data. */\nexport class DataStorage<T> {\n  private data = new WeakMap<DataId, T>();\n  private dataIdsCount = 0;\n\n  constructor(private backend: KernelBackend, private dataMover: DataMover) {}\n\n  get(dataId: DataId) {\n    if (!this.data.has(dataId)) {\n      this.dataMover.moveData(this.backend, dataId);\n    }\n    return this.data.get(dataId);\n  }\n\n  set(dataId: DataId, value: T): void {\n    this.dataIdsCount++;\n    this.data.set(dataId, value);\n  }\n\n  has(dataId: DataId): boolean {\n    return this.data.has(dataId);\n  }\n\n  delete(dataId: DataId): boolean {\n    this.dataIdsCount--;\n    return this.data.delete(dataId);\n  }\n\n  numDataIds(): number {\n    return this.dataIdsCount;\n  }\n}\n\nexport interface DataMover {\n  /**\n   * To be called by backends whenever they see a dataId that they don't own.\n   * Upon calling this method, the mover will fetch the tensor from another\n   * backend and register it with the current active backend.\n   */\n  moveData(backend: KernelBackend, dataId: DataId): void;\n}\n\nexport interface BackendTimer {\n  time(f: () => void): Promise<BackendTimingInfo>;\n}\n\n/**\n * The interface that defines the kernels that should be implemented when\n * adding a new backend. New backends don't need to implement every one of the\n * methods, this can be done gradually (throw an error for unimplemented\n * methods).\n */\nexport class KernelBackend implements TensorStorage, Backend, BackendTimer {\n  time(f: () => void): Promise<BackendTimingInfo> {\n    return notYetImplemented('time');\n  }\n  read(dataId: object): Promise<BackendValues> {\n    return notYetImplemented('read');\n  }\n  readSync(dataId: object): BackendValues {\n    return notYetImplemented('readSync');\n  }\n  numDataIds(): number {\n    return notYetImplemented('numDataIds');\n  }\n  disposeData(dataId: object): void {\n    return notYetImplemented('disposeData');\n  }\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    return notYetImplemented('write');\n  }\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    return notYetImplemented('move');\n  }\n  memory(): {unreliable: boolean; reasons?: string[]} {\n    return notYetImplemented('memory');\n  }\n  /** Returns the highest precision for floats in bits (e.g. 16 or 32) */\n  floatPrecision(): 16|32 {\n    return notYetImplemented('floatPrecision');\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    return notYetImplemented('batchMatMul');\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    return notYetImplemented('fusedBatchMatMul');\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    return notYetImplemented('slice');\n  }\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    return notYetImplemented('stridedSlice');\n  }\n  unstack(x: Tensor, axis: number): Tensor[] {\n    return notYetImplemented('unstack');\n  }\n  reverse<T extends Tensor>(a: T, axis: number[]): T {\n    return notYetImplemented('reverse');\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    return notYetImplemented('concat');\n  }\n\n  neg<T extends Tensor>(a: T): T {\n    return notYetImplemented('neg');\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('add');\n  }\n  addN<T extends Tensor>(tensors: T[]): T {\n    return notYetImplemented('addN');\n  }\n  subtract(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('subtract');\n  }\n  multiply(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('multiply');\n  }\n  realDivide(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('realDivide');\n  }\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('floorDiv');\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('sum');\n  }\n  prod(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('prod');\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    return notYetImplemented('unsortedSegmentSum');\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    return notYetImplemented('argMin');\n  }\n  argMax(x: Tensor, axis: number): Tensor {\n    return notYetImplemented('argMax');\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('equal');\n  }\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('notEqual');\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('less');\n  }\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('lessEqual');\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('greater');\n  }\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('greaterEqual');\n  }\n\n  logicalNot<T extends Tensor>(a: T): T {\n    return notYetImplemented('logicalNot');\n  }\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('logicalAnd');\n  }\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('logicalOr');\n  }\n\n  where(condition: Tensor): Tensor2D {\n    return notYetImplemented('where');\n  }\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('select');\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    return notYetImplemented('topk');\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('min');\n  }\n  minimum(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('minimum');\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('mod');\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('max');\n  }\n  maximum(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('maximum');\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('all');\n  }\n  any(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('any');\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('squaredDifference');\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    return notYetImplemented('ceil');\n  }\n  floor<T extends Tensor>(x: T): T {\n    return notYetImplemented('floor');\n  }\n  round<T extends Tensor>(x: T): T {\n    return notYetImplemented('round');\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    return notYetImplemented('sign');\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    return notYetImplemented('isNaN');\n  }\n  isInf<T extends Tensor>(x: T): T {\n    return notYetImplemented('isInf');\n  }\n  isFinite<T extends Tensor>(x: T): T {\n    return notYetImplemented('isFinite');\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    return notYetImplemented('pow');\n  }\n  exp<T extends Tensor>(x: T): T {\n    return notYetImplemented('exp');\n  }\n  expm1<T extends Tensor>(x: T): T {\n    return notYetImplemented('expm1');\n  }\n  log<T extends Tensor>(x: T): T {\n    return notYetImplemented('log');\n  }\n  log1p<T extends Tensor>(x: T): T {\n    return notYetImplemented('log1p');\n  }\n  sqrt<T extends Tensor>(x: T): T {\n    return notYetImplemented('sqrt');\n  }\n  rsqrt<T extends Tensor>(x: T): T {\n    return notYetImplemented('rsqrt');\n  }\n  square<T extends Tensor>(x: T): T {\n    return notYetImplemented('square');\n  }\n  reciprocal<T extends Tensor>(x: T): T {\n    return notYetImplemented('reciprocal');\n  }\n  relu<T extends Tensor>(x: T): T {\n    return notYetImplemented('relu');\n  }\n  relu6<T extends Tensor>(x: T): T {\n    return notYetImplemented('relu6');\n  }\n  prelu<T extends Tensor>(x: T, a: T): T {\n    return notYetImplemented('prelu');\n  }\n  elu<T extends Tensor>(x: T): T {\n    return notYetImplemented('elu');\n  }\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    return notYetImplemented('eluDer');\n  }\n  selu<T extends Tensor>(x: T): T {\n    return notYetImplemented('selu');\n  }\n  int<T extends Tensor>(x: T): T {\n    return notYetImplemented('int');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    return notYetImplemented('clip');\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    return notYetImplemented('abs');\n  }\n  complexAbs<T extends Tensor>(x: T): T {\n    return notYetImplemented('complexAbs');\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    return notYetImplemented('sigmoid');\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    return notYetImplemented('softplus');\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    return notYetImplemented('sin');\n  }\n  cos<T extends Tensor>(x: T): T {\n    return notYetImplemented('cos');\n  }\n  tan<T extends Tensor>(x: T): T {\n    return notYetImplemented('tan');\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    return notYetImplemented('asin');\n  }\n  acos<T extends Tensor>(x: T): T {\n    return notYetImplemented('acos');\n  }\n  atan<T extends Tensor>(x: T): T {\n    return notYetImplemented('atan');\n  }\n  atan2<T extends Tensor>(a: T, b: T): T {\n    return notYetImplemented('atan2');\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    return notYetImplemented('sinh');\n  }\n  cosh<T extends Tensor>(x: T): T {\n    return notYetImplemented('cosh');\n  }\n  tanh<T extends Tensor>(x: T): T {\n    return notYetImplemented('tanh');\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    return notYetImplemented('asinh');\n  }\n  acosh<T extends Tensor>(x: T): T {\n    return notYetImplemented('acosh');\n  }\n  atanh<T extends Tensor>(x: T): T {\n    return notYetImplemented('atanh');\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    return notYetImplemented('erf');\n  }\n\n  step<T extends Tensor>(x: T, alpha: number): T {\n    return notYetImplemented('step');\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    return notYetImplemented('fusedConv2d');\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('conv2d');\n  }\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('conv2dDerInput');\n  }\n  conv2dDerFilter(x: Tensor4D, dY: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('conv2dDerFilter');\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    return notYetImplemented('fusedDepthwiseConv2D');\n  }\n\n  depthwiseConv2D(input: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2D');\n  }\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2DDerInput');\n  }\n  depthwiseConv2DDerFilter(x: Tensor4D, dY: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2DDerFilter');\n  }\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('conv3d');\n  }\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    return notYetImplemented('conv3dDerInput');\n  }\n  conv3dDerFilter(x: Tensor5D, dY: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('conv3dDerFilter');\n  }\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('maxPool');\n  }\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('maxPoolBackprop');\n  }\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('avgPool');\n  }\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('avgPoolBackprop');\n  }\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('avgPool3d');\n  }\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('avgPool3dBackprop');\n  }\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('maxPool3d');\n  }\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('maxPool3dBackprop');\n  }\n\n  reshape<T extends Tensor, R extends Rank>(x: T, shape: ShapeMap[R]):\n      Tensor<R> {\n    return notYetImplemented('reshape');\n  }\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return notYetImplemented('cast');\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    return notYetImplemented('tile');\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    return notYetImplemented('pad');\n  }\n\n  transpose<T extends Tensor>(x: T, perm: number[]): T {\n    return notYetImplemented('transpose');\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    return notYetImplemented('gather');\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    return notYetImplemented('gatherND');\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    return notYetImplemented('scatterND');\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    return notYetImplemented('batchToSpaceND');\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: number[][]): T {\n    return notYetImplemented('spaceToBatchND');\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeBilinear');\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean):\n      Tensor4D {\n    return notYetImplemented('resizeBilinearBackprop');\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHEight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeNearestNeighbor');\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeNearestNeighborBackprop');\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    return notYetImplemented('batchNormalization');\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, radius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    return notYetImplemented('localResponseNormalization4D');\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D, radius: number,\n      bias: number, alpha: number, beta: number): Tensor4D {\n    return notYetImplemented('LRNGrad');\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    return notYetImplemented('multinomial');\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    return notYetImplemented('oneHot');\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    return notYetImplemented('cumsum');\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold?: number): Tensor1D {\n    return notYetImplemented('nonMaxSuppression');\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    return notYetImplemented('fft');\n  }\n  ifft(x: Tensor2D): Tensor2D {\n    return notYetImplemented('ifft');\n  }\n  complex<T extends Tensor>(real: T, imag: T): T {\n    return notYetImplemented('complex');\n  }\n  real<T extends Tensor>(input: T): T {\n    return notYetImplemented('real');\n  }\n  imag<T extends Tensor>(input: T): T {\n    return notYetImplemented('imag');\n  }\n\n  cropAndResize(\n      image: Tensor4D, boxes: Tensor2D, boxIndex: Tensor1D,\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number): Tensor4D {\n    return notYetImplemented('cropAndResize');\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: string): Tensor4D {\n    return notYetImplemented('depthToSpace');\n  }\n\n  // Aligns with the \"SplitV\" kernel in TensorFlow.\n  split<T extends Tensor>(value: T, sizeSplits: number[], axis: number): T[] {\n    return notYetImplemented('split');\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    return notYetImplemented('sparseToDense');\n  }\n\n  diag(x: Tensor): Tensor {\n    return notYetImplemented('diag');\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    return notYetImplemented('fill');\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return notYetImplemented('onesLike');\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return notYetImplemented('zerosLike');\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    return notYetImplemented('linspace');\n  }\n\n  dispose(): void {\n    return notYetImplemented('dispose');\n  }\n}\n\nfunction notYetImplemented(kernelName: string): never {\n  throw new Error(\n      `'${kernelName}' not yet implemented or not found in the registry. ` +\n      `Did you forget to import the kernel?`);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Returns the dimensions in the input shape that are broadcasted to\n * produce the provided output shape.\n *\n * The returned dimensions are 0-indexed and sorted. An example:\n * inShape = [4, 1, 3]\n * outShape = [5, 4, 3, 3]\n * result = [1]. Dimension 1 (2nd dimension of input) gets broadcasted 1 => 3.\n */\nexport function getBroadcastDims(\n    inShape: number[], outShape: number[]): number[] {\n  const inRank = inShape.length;\n  const dims: number[] = [];\n  for (let i = 0; i < inRank; i++) {\n    const dim = inRank - 1 - i;\n    const a = inShape[dim] || 1;\n    const b = outShape[outShape.length - 1 - i] || 1;\n    if (b > 1 && a === 1) {\n      dims.unshift(dim);\n    }\n  }\n  return dims;\n}\n\n/**\n * Returns the axes in the output space that should be reduced to produce\n * the input space.\n */\nexport function getReductionAxes(\n    inShape: number[], outShape: number[]): number[] {\n  const result: number[] = [];\n  for (let i = 0; i < outShape.length; i++) {\n    const inDim = inShape[inShape.length - i - 1];\n    const outAxis = outShape.length - i - 1;\n    const outDim = outShape[outAxis];\n    if (inDim == null || (inDim === 1 && outDim > 1)) {\n      result.unshift(outAxis);\n    }\n  }\n  return result;\n}\n\nexport function assertAndGetBroadcastShape(\n    shapeA: number[], shapeB: number[]): number[] {\n  const result: number[] = [];\n  const l = Math.max(shapeA.length, shapeB.length);\n\n  for (let i = 0; i < l; i++) {\n    let a = shapeA[shapeA.length - i - 1];\n    if (a == null) {\n      a = 1;\n    }\n    let b = shapeB[shapeB.length - i - 1];\n    if (b == null) {\n      b = 1;\n    }\n    if (a === 1) {\n      result.unshift(b);\n    } else if (b === 1) {\n      result.unshift(a);\n    } else if (a !== b) {\n      const errMsg = `Operands could not be broadcast together with shapes ` +\n          `${shapeA} and ${shapeB}.`;\n      throw Error(errMsg);\n    } else {\n      result.unshift(a);\n    }\n  }\n  return result;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\ntype PadType = 'SAME'|'VALID'|'NUMBER';\n\nexport type PadInfo = {\n  top: number,\n  left: number,\n  right: number,\n  bottom: number,\n  type: PadType\n};\n\nexport type PadInfo3D = {\n  top: number,\n  left: number,\n  right: number,\n  bottom: number,\n  front: number,\n  back: number,\n  type: PadType\n};\n\n/**\n * Information about the forward pass of a convolution/pooling operation.\n * It includes input and output shape, strides, filter size and padding\n * information.\n */\nexport type Conv2DInfo = {\n  batchSize: number,\n  inHeight: number,\n  inWidth: number,\n  inChannels: number,\n  outHeight: number,\n  outWidth: number,\n  outChannels: number,\n  dataFormat: 'channelsFirst'|'channelsLast',\n  strideHeight: number,\n  strideWidth: number,\n  dilationHeight: number,\n  dilationWidth: number,\n  filterHeight: number,\n  filterWidth: number,\n  effectiveFilterHeight: number,\n  effectiveFilterWidth: number,\n  padInfo: PadInfo,\n  inShape: [number, number, number, number],\n  outShape: [number, number, number, number],\n  filterShape: [number, number, number, number]\n};\n\nexport function computePool2DInfo(\n    inShape: [number, number, number, number],\n    filterSize: [number, number]|number, strides: number|[number, number],\n    dilations: number|[number, number], pad: 'same'|'valid'|number,\n    roundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast'): Conv2DInfo {\n  const [filterHeight, filterWidth] = parseTupleParam(filterSize);\n\n  let filterShape: [number, number, number, number];\n  if (dataFormat === 'channelsLast') {\n    filterShape = [filterHeight, filterWidth, inShape[3], inShape[3]];\n  } else if (dataFormat === 'channelsFirst') {\n    filterShape = [filterHeight, filterWidth, inShape[1], inShape[1]];\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  return computeConv2DInfo(\n      inShape, filterShape, strides, dilations, pad, roundingMode, false,\n      dataFormat);\n}\n\n/**\n * Computes the information for a forward pass of a pooling3D operation.\n */\nexport function computePool3DInfo(\n    inShape: [number, number, number, number, number],\n    filterSize: number|[number, number, number],\n    strides: number|[number, number, number],\n    dilations: number|[number, number, number], pad: 'same'|'valid'|number,\n    roundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC'): Conv3DInfo {\n  const [filterDepth, filterHeight, filterWidth] = parse3TupleParam(filterSize);\n\n  let filterShape: [number, number, number, number, number];\n  let $dataFormat: 'channelsFirst'|'channelsLast';\n  if (dataFormat === 'NDHWC') {\n    $dataFormat = 'channelsLast';\n    filterShape =\n        [filterDepth, filterHeight, filterWidth, inShape[4], inShape[4]];\n  } else if (dataFormat === 'NCDHW') {\n    $dataFormat = 'channelsFirst';\n    filterShape =\n        [filterDepth, filterHeight, filterWidth, inShape[1], inShape[1]];\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  return computeConv3DInfo(\n      inShape, filterShape, strides, dilations, pad, false, $dataFormat,\n      roundingMode);\n}\n\n/**\n * Computes the information for a forward pass of a convolution/pooling\n * operation.\n */\nexport function computeConv2DInfo(\n    inShape: [number, number, number, number],\n    filterShape: [number, number, number, number],\n    strides: number|[number, number], dilations: number|[number, number],\n    pad: 'same'|'valid'|number, roundingMode?: 'floor'|'round'|'ceil',\n    depthwise = false,\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast'): Conv2DInfo {\n  let [batchSize, inHeight, inWidth, inChannels] = [-1, -1, -1, -1];\n  if (dataFormat === 'channelsLast') {\n    [batchSize, inHeight, inWidth, inChannels] = inShape;\n  } else if (dataFormat === 'channelsFirst') {\n    [batchSize, inChannels, inHeight, inWidth] = inShape;\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  const [filterHeight, filterWidth, , filterChannels] = filterShape;\n  const [strideHeight, strideWidth] = parseTupleParam(strides);\n  const [dilationHeight, dilationWidth] = parseTupleParam(dilations);\n\n  const effectiveFilterHeight =\n      getEffectiveFilterSize(filterHeight, dilationHeight);\n  const effectiveFilterWidth =\n      getEffectiveFilterSize(filterWidth, dilationWidth);\n  const {padInfo, outHeight, outWidth} = getPadAndOutInfo(\n      pad, inHeight, inWidth, strideHeight, strideWidth, effectiveFilterHeight,\n      effectiveFilterWidth, roundingMode);\n\n  const outChannels = depthwise ? filterChannels * inChannels : filterChannels;\n\n  let outShape: [number, number, number, number];\n  if (dataFormat === 'channelsFirst') {\n    outShape = [batchSize, outChannels, outHeight, outWidth];\n  } else if (dataFormat === 'channelsLast') {\n    outShape = [batchSize, outHeight, outWidth, outChannels];\n  }\n\n  return {\n    batchSize,\n    dataFormat,\n    inHeight,\n    inWidth,\n    inChannels,\n    outHeight,\n    outWidth,\n    outChannels,\n    padInfo,\n    strideHeight,\n    strideWidth,\n    filterHeight,\n    filterWidth,\n    effectiveFilterHeight,\n    effectiveFilterWidth,\n    dilationHeight,\n    dilationWidth,\n    inShape,\n    outShape,\n    filterShape\n  };\n}\n\n/**\n * Information about the forward pass of a 3D convolution/pooling operation.\n * It includes input and output shape, strides, filter size and padding\n * information.\n */\nexport type Conv3DInfo = {\n  batchSize: number,\n  inDepth: number,\n  inHeight: number,\n  inWidth: number,\n  inChannels: number,\n  outDepth: number,\n  outHeight: number,\n  outWidth: number,\n  outChannels: number,\n  dataFormat: 'channelsFirst'|'channelsLast',\n  strideDepth: number,\n  strideHeight: number,\n  strideWidth: number,\n  dilationDepth: number,\n  dilationHeight: number,\n  dilationWidth: number,\n  filterDepth: number,\n  filterHeight: number,\n  filterWidth: number,\n  effectiveFilterDepth: number,\n  effectiveFilterHeight: number,\n  effectiveFilterWidth: number,\n  padInfo: PadInfo3D,\n  inShape: [number, number, number, number, number],\n  outShape: [number, number, number, number, number],\n  filterShape: [number, number, number, number, number]\n};\n\n/**\n * Computes the information for a forward pass of a 3D convolution/pooling\n * operation.\n */\nexport function computeConv3DInfo(\n    inShape: [number, number, number, number, number],\n    filterShape: [number, number, number, number, number],\n    strides: number|[number, number, number],\n    dilations: number|[number, number, number], pad: 'same'|'valid'|number,\n    depthwise = false,\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast',\n    roundingMode?: 'floor'|'round'|'ceil'): Conv3DInfo {\n  let [batchSize, inDepth, inHeight, inWidth, inChannels] =\n      [-1, -1, -1, -1, -1];\n  if (dataFormat === 'channelsLast') {\n    [batchSize, inDepth, inHeight, inWidth, inChannels] = inShape;\n  } else if (dataFormat === 'channelsFirst') {\n    [batchSize, inChannels, inDepth, inHeight, inWidth] = inShape;\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  const [filterDepth, filterHeight, filterWidth, , filterChannels] =\n      filterShape;\n  const [strideDepth, strideHeight, strideWidth] = parse3TupleParam(strides);\n  const [dilationDepth, dilationHeight, dilationWidth] =\n      parse3TupleParam(dilations);\n\n  const effectiveFilterDepth =\n      getEffectiveFilterSize(filterDepth, dilationDepth);\n  const effectiveFilterHeight =\n      getEffectiveFilterSize(filterHeight, dilationHeight);\n  const effectiveFilterWidth =\n      getEffectiveFilterSize(filterWidth, dilationWidth);\n  const {padInfo, outDepth, outHeight, outWidth} = get3DPadAndOutInfo(\n      pad, inDepth, inHeight, inWidth, strideDepth, strideHeight, strideWidth,\n      effectiveFilterDepth, effectiveFilterHeight, effectiveFilterWidth,\n      roundingMode);\n\n  const outChannels = depthwise ? filterChannels * inChannels : filterChannels;\n\n  let outShape: [number, number, number, number, number];\n  if (dataFormat === 'channelsFirst') {\n    outShape = [batchSize, outChannels, outDepth, outHeight, outWidth];\n  } else if (dataFormat === 'channelsLast') {\n    outShape = [batchSize, outDepth, outHeight, outWidth, outChannels];\n  }\n\n  return {\n    batchSize,\n    dataFormat,\n    inDepth,\n    inHeight,\n    inWidth,\n    inChannels,\n    outDepth,\n    outHeight,\n    outWidth,\n    outChannels,\n    padInfo,\n    strideDepth,\n    strideHeight,\n    strideWidth,\n    filterDepth,\n    filterHeight,\n    filterWidth,\n    effectiveFilterDepth,\n    effectiveFilterHeight,\n    effectiveFilterWidth,\n    dilationDepth,\n    dilationHeight,\n    dilationWidth,\n    inShape,\n    outShape,\n    filterShape\n  };\n}\n\nfunction computeOutputShape2D(\n    inShape: [number, number], fieldSize: number, stride: number,\n    zeroPad?: number, roundingMode?: 'floor'|'round'|'ceil'): [number, number] {\n  if (zeroPad == null) {\n    zeroPad = computeDefaultPad(inShape, fieldSize, stride);\n  }\n  const inputRows = inShape[0];\n  const inputCols = inShape[1];\n\n  const outputRows = conditionalRound(\n      (inputRows - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputRows),\n      () => `The output # of rows (${outputRows}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputCols = conditionalRound(\n      (inputCols - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputCols),\n      () => `The output # of columns (${outputCols}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  return [outputRows, outputCols];\n}\n\nfunction computeOutputShape4D(\n    inShape: [number, number, number, number], fieldSize: number,\n    outChannels: number, stride: number, zeroPad?: number,\n    roundingMode?: 'floor'|'round'|'ceil'): [number, number, number, number] {\n  if (zeroPad == null) {\n    zeroPad = computeDefaultPad(inShape, fieldSize, stride);\n  }\n  const inputDepth = inShape[0];\n  const inputRows = inShape[1];\n  const inputCols = inShape[2];\n\n  const outputDepths = conditionalRound(\n      (inputDepth - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputDepths),\n      () => `The output # of depths (${outputDepths}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputRows = conditionalRound(\n      (inputRows - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputRows),\n      () => `The output # of rows (${outputRows}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputCols = conditionalRound(\n      (inputCols - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputCols),\n      () => `The output # of columns (${outputCols}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  return [outputDepths, outputRows, outputCols, outChannels];\n}\n\nexport function computeDefaultPad(\n    inputShape: [number, number]|[number, number, number, number],\n    fieldSize: number, stride: number, dilation = 1): number {\n  const effectiveFieldSize = getEffectiveFilterSize(fieldSize, dilation);\n  return Math.floor(\n      (inputShape[0] * (stride - 1) - stride + effectiveFieldSize) / 2);\n}\n\nfunction parseTupleParam(param: number|number[]): [number, number, number] {\n  if (typeof param === 'number') {\n    return [param, param, param];\n  }\n  if (param.length === 2) {\n    return [param[0], param[1], 1];\n  }\n  return param as [number, number, number];\n}\n\nfunction parse3TupleParam(param: number|[number, number, number]):\n    [number, number, number] {\n  return typeof param === 'number' ? [param, param, param] : param;\n}\n\n/* See https://www.tensorflow.org/api_docs/python/tf/nn/atrous_conv2d\n * Atrous convolution is equivalent to standard convolution with upsampled\n * filters with effective_filter_height =\n * filter_height + (filter_height - 1) * (dilation - 1)\n * and effective_filter_width =\n * filter_width + (filter_width - 1) * (dilation - 1),\n * produced by inserting dilation - 1 zeros along consecutive elements across\n * the filters' spatial dimensions.\n * When there is a dilation, this converts a filter dimension to the\n * effective filter dimension, so it can be used in a standard convolution.\n */\nfunction getEffectiveFilterSize(filterSize: number, dilation: number) {\n  if (dilation <= 1) {\n    return filterSize;\n  }\n\n  return filterSize + (filterSize - 1) * (dilation - 1);\n}\n\nfunction getPadAndOutInfo(\n    pad: 'same'|'valid'|number, inHeight: number, inWidth: number,\n    strideHeight: number, strideWidth: number, filterHeight: number,\n    filterWidth: number, roundingMode?: 'floor'|'round'|'ceil'):\n    {padInfo: PadInfo, outHeight: number, outWidth: number} {\n  let padInfo: PadInfo;\n  let outHeight: number;\n  let outWidth: number;\n\n  if (typeof pad === 'number') {\n    const padType = (pad === 0) ? 'VALID' : 'NUMBER';\n    padInfo = {top: pad, bottom: pad, left: pad, right: pad, type: padType};\n    const outShape = computeOutputShape2D(\n        [inHeight, inWidth], filterHeight, strideHeight, pad, roundingMode);\n    outHeight = outShape[0];\n    outWidth = outShape[1];\n  } else if (pad === 'same') {\n    outHeight = Math.ceil(inHeight / strideHeight);\n    outWidth = Math.ceil(inWidth / strideWidth);\n    const padAlongHeight =\n        Math.max(0, (outHeight - 1) * strideHeight + filterHeight - inHeight);\n    const padAlongWidth =\n        Math.max(0, (outWidth - 1) * strideWidth + filterWidth - inWidth);\n    const top = Math.floor(padAlongHeight / 2);\n    const bottom = padAlongHeight - top;\n    const left = Math.floor(padAlongWidth / 2);\n    const right = padAlongWidth - left;\n    padInfo = {top, bottom, left, right, type: 'SAME'};\n  } else if (pad === 'valid') {\n    padInfo = {top: 0, bottom: 0, left: 0, right: 0, type: 'VALID'};\n    outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);\n    outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);\n  } else {\n    throw Error(`Unknown padding parameter: ${pad}`);\n  }\n  return {padInfo, outHeight, outWidth};\n}\n\nfunction get3DPadAndOutInfo(\n    pad: 'same'|'valid'|number, inDepth: number, inHeight: number,\n    inWidth: number, strideDepth: number, strideHeight: number,\n    strideWidth: number, filterDepth: number, filterHeight: number,\n    filterWidth: number, roundingMode?: 'floor'|'round'|'ceil'): {\n  padInfo: PadInfo3D,\n  outDepth: number,\n  outHeight: number,\n  outWidth: number\n} {\n  let padInfo: PadInfo3D;\n  let outDepth: number;\n  let outHeight: number;\n  let outWidth: number;\n\n  if (typeof pad === 'number') {\n    const padType = (pad === 0) ? 'VALID' : 'NUMBER';\n    padInfo = {\n      top: pad,\n      bottom: pad,\n      left: pad,\n      right: pad,\n      front: pad,\n      back: pad,\n      type: padType\n    };\n    const outShape = computeOutputShape4D(\n        [inDepth, inHeight, inWidth, 1], filterDepth, 1, strideDepth, pad,\n        roundingMode);\n    outDepth = outShape[0];\n    outHeight = outShape[1];\n    outWidth = outShape[2];\n  } else if (pad === 'same') {\n    outDepth = Math.ceil(inDepth / strideDepth);\n    outHeight = Math.ceil(inHeight / strideHeight);\n    outWidth = Math.ceil(inWidth / strideWidth);\n    const padAlongDepth = (outDepth - 1) * strideDepth + filterDepth - inDepth;\n    const padAlongHeight =\n        (outHeight - 1) * strideHeight + filterHeight - inHeight;\n    const padAlongWidth = (outWidth - 1) * strideWidth + filterWidth - inWidth;\n    const front = Math.floor(padAlongDepth / 2);\n    const back = padAlongDepth - front;\n    const top = Math.floor(padAlongHeight / 2);\n    const bottom = padAlongHeight - top;\n    const left = Math.floor(padAlongWidth / 2);\n    const right = padAlongWidth - left;\n\n    padInfo = {top, bottom, left, right, front, back, type: 'SAME'};\n  } else if (pad === 'valid') {\n    padInfo = {\n      top: 0,\n      bottom: 0,\n      left: 0,\n      right: 0,\n      front: 0,\n      back: 0,\n      type: 'VALID'\n    };\n    outDepth = Math.ceil((inDepth - filterDepth + 1) / strideDepth);\n    outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);\n    outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);\n  } else {\n    throw Error(`Unknown padding parameter: ${pad}`);\n  }\n  return {padInfo, outDepth, outHeight, outWidth};\n}\n\n/**\n * Rounds a value depending on the rounding mode\n * @param value\n * @param roundingMode\n */\nfunction conditionalRound(\n    value: number, roundingMode?: 'floor'|'round'|'ceil') {\n  if (!roundingMode) {\n    return value;\n  }\n  switch (roundingMode) {\n    case 'round':\n      // used for Caffe Conv\n      return Math.round(value);\n    case 'ceil':\n      // used for Caffe Pool\n      return Math.ceil(value);\n    case 'floor':\n      return Math.floor(value);\n    default:\n      throw new Error(`Unknown roundingMode ${roundingMode}`);\n  }\n}\n\nexport function tupleValuesAreOne(param: number|number[]): boolean {\n  const [dimA, dimB, dimC] = parseTupleParam(param);\n  return dimA === 1 && dimB === 1 && dimC === 1;\n}\n\nexport function eitherStridesOrDilationsAreOne(\n    strides: number|number[], dilations: number|number[]): boolean {\n  return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);\n}\n\n/**\n * Convert Conv2D dataFormat from 'NHWC'|'NCHW' to\n *    'channelsLast'|'channelsFirst'\n * @param dataFormat in 'NHWC'|'NCHW' mode\n * @return dataFormat in 'channelsLast'|'channelsFirst' mode\n * @throws unknown dataFormat\n */\nexport function convertConv2DDataFormat(dataFormat: 'NHWC'|'NCHW'):\n    'channelsLast'|'channelsFirst' {\n  if (dataFormat === 'NHWC') {\n    return 'channelsLast';\n  } else if (dataFormat === 'NCHW') {\n    return 'channelsFirst';\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {scalar, tensor1d, zeros} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\nimport {Rank} from '../types';\nimport {DataType, ShapeMap} from '../types';\nimport {hasEncodingLoss, makeZerosTypedArray} from '../util';\n\nimport {KernelBackend} from './backend';\n\n// Utilities needed by backend consumers of tf-core.\nexport * from '../ops/axis_util';\nexport * from '../ops/broadcast_util';\nexport * from '../ops/concat_util';\nexport * from '../ops/conv_util';\nexport {Activation, FusedConv2DConfig} from '../ops/fused_util';\nexport * from '../ops/reduce_util';\nexport {BackendValues, TypedArray, upcastType, PixelData} from '../types';\nexport {MemoryInfo, TimingInfo} from '../engine';\n\nexport function castTensor<T extends Tensor>(\n    x: T, dtype: DataType, backend: KernelBackend): T {\n  if (dtype === 'complex64') {\n    if (x.dtype === 'complex64') {\n      return x.clone();\n    }\n    const zerosTensor = zeros(x.shape);\n    const floatX = x.toFloat();\n    const result = backend.complex(floatX, zerosTensor);\n    zerosTensor.dispose();\n    floatX.dispose();\n    return result as T;\n  }\n\n  if (!hasEncodingLoss(x.dtype, dtype)) {\n    // We don't change the underlying data, since we cast to higher\n    // precision.\n    return ENGINE.makeTensorFromDataId(x.dataId, x.shape, dtype) as T;\n  }\n  if (x.dtype === 'complex64') {\n    const real = backend.real(x);\n    const result = real.cast(dtype);\n    real.dispose();\n    return result;\n  }\n  if (dtype === 'int32') {\n    return backend.int(x);\n  } else if (dtype === 'bool') {\n    const zero = scalar(0, x.dtype);\n    const result = backend.notEqual(x, zero) as T;\n    zero.dispose();\n    return result;\n  } else {\n    throw new Error(`Error in Cast: failed to cast ${x.dtype} to ${dtype}`);\n  }\n}\n\nexport function reshapeTensor<T extends Tensor, R extends Rank>(\n    x: T, shape: ShapeMap[R]): Tensor<R> {\n  return ENGINE.makeTensorFromDataId(x.dataId, shape, x.dtype) as Tensor<R>;\n}\n\nexport function linspaceImpl(start: number, stop: number, num: number) {\n  const step = (stop - start) / (num - 1);\n\n  const values = makeZerosTypedArray(num, 'float32');\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return tensor1d(values, 'float32');\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TypedArray} from '../types';\n/**\n * Merges real and imaginary Float32Arrays into a single complex Float32Array.\n *\n * The memory layout is interleaved as follows:\n * real: [r0, r1, r2]\n * imag: [i0, i1, i2]\n * complex: [r0, i0, r1, i1, r2, i2]\n *\n * This is the inverse of splitRealAndImagArrays.\n *\n * @param real The real values of the complex tensor values.\n * @param imag The imag values of the complex tensor values.\n * @returns A complex tensor as a Float32Array with merged values.\n */\nexport function mergeRealAndImagArrays(\n    real: Float32Array, imag: Float32Array): Float32Array {\n  if (real.length !== imag.length) {\n    throw new Error(\n        `Cannot merge real and imag arrays of different lengths. real:` +\n        `${real.length}, imag: ${imag.length}.`);\n  }\n  const result = new Float32Array(real.length * 2);\n  for (let i = 0; i < result.length; i += 2) {\n    result[i] = real[i / 2];\n    result[i + 1] = imag[i / 2];\n  }\n  return result;\n}\n\n/**\n * Splits a complex Float32Array into real and imag parts.\n *\n * The memory layout is interleaved as follows:\n * complex: [r0, i0, r1, i1, r2, i2]\n * real: [r0, r1, r2]\n * imag: [i0, i1, i2]\n *\n * This is the inverse of mergeRealAndImagArrays.\n *\n * @param complex The complex tensor values.\n * @returns An object with real and imag Float32Array components of the complex\n *     tensor.\n */\nexport function splitRealAndImagArrays(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const real = new Float32Array(complex.length / 2);\n  const imag = new Float32Array(complex.length / 2);\n  for (let i = 0; i < complex.length; i += 2) {\n    real[i / 2] = complex[i];\n    imag[i / 2] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Extracts even indexed complex values in the given array.\n * @param complex The complex tensor values\n */\nexport function complexWithEvenIndex(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const len = Math.ceil(complex.length / 4);\n  const real = new Float32Array(len);\n  const imag = new Float32Array(len);\n  for (let i = 0; i < complex.length; i += 4) {\n    real[Math.floor(i / 4)] = complex[i];\n    imag[Math.floor(i / 4)] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Extracts odd indexed comple values in the given array.\n * @param complex The complex tensor values\n */\nexport function complexWithOddIndex(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const len = Math.floor(complex.length / 4);\n  const real = new Float32Array(len);\n  const imag = new Float32Array(len);\n  for (let i = 2; i < complex.length; i += 4) {\n    real[Math.floor(i / 4)] = complex[i];\n    imag[Math.floor(i / 4)] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Get the map representing a complex value in the given array.\n * @param complex The complex tensor values.\n * @param index An index of the target complex value.\n */\nexport function getComplexWithIndex(\n    complex: Float32Array, index: number): {real: number, imag: number} {\n  const real = complex[index * 2];\n  const imag = complex[index * 2 + 1];\n  return {real, imag};\n}\n\n/**\n * Insert a given complex value into the TypedArray.\n * @param data The array in which the complex value is inserted.\n * @param c The complex value to be inserted.\n * @param index An index of the target complex value.\n */\nexport function assignToTypedArray(\n    data: TypedArray, real: number, imag: number, index: number) {\n  data[index * 2] = real;\n  data[index * 2 + 1] = imag;\n}\n\n/**\n * Make the list of exponent terms used by FFT.\n */\nexport function exponents(\n    n: number, inverse: boolean): {real: Float32Array, imag: Float32Array} {\n  const real = new Float32Array(n / 2);\n  const imag = new Float32Array(n / 2);\n  for (let i = 0; i < Math.ceil(n / 2); i++) {\n    const x = (inverse ? 2 : -2) * Math.PI * (i / n);\n    real[i] = Math.cos(x);\n    imag[i] = Math.sin(x);\n  }\n  return {real, imag};\n}\n\n/**\n * Make the exponent term used by FFT.\n */\nexport function exponent(\n    k: number, n: number, inverse: boolean): {real: number, imag: number} {\n  const x = (inverse ? 2 : -2) * Math.PI * (k / n);\n  const real = Math.cos(x);\n  const imag = Math.sin(x);\n  return {real, imag};\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Inserts a value into a sorted array. This method allows duplicate, meaning it\n * allows inserting duplicate value, in which case, the element will be inserted\n * at the lowest index of the value.\n * @param arr The array to modify.\n * @param element The element to insert.\n * @param comparator Optional. If no comparator is specified, elements are\n * compared using array_util.defaultComparator, which is suitable for Strings\n * and Numbers in ascending arrays. If the array contains multiple instances of\n * the target value, the left-most instance will be returned. To provide a\n * comparator, it should take 2 arguments to compare and return a negative,\n * zero, or a positive number.\n */\nexport function binaryInsert<T>(\n    arr: T[], element: T, comparator?: (a: T, b: T) => number) {\n  const index = binarySearch(arr, element, comparator);\n  const insertionPoint = index < 0 ? -(index + 1) : index;\n  arr.splice(insertionPoint, 0, element);\n}\n\n/**\n * Searches the array for the target using binary search, returns the index\n * of the found element, or position to insert if element not found. If no\n * comparator is specified, elements are compared using array_\n * util.defaultComparator, which is suitable for Strings and Numbers in\n * ascending arrays. If the array contains multiple instances of the target\n * value, the left-most instance will be returned.\n * @param arr The array to be searched in.\n * @param target The target to be searched for.\n * @param comparator Should take 2 arguments to compare and return a negative,\n *    zero, or a positive number.\n * @return Lowest index of the target value if found, otherwise the insertion\n *    point where the target should be inserted, in the form of\n *    (-insertionPoint - 1).\n */\nexport function binarySearch<T>(\n    arr: T[], target: T, comparator?: (a: T, b: T) => number) {\n  return binarySearch_(arr, target, comparator || defaultComparator);\n}\n\n/**\n * Compares its two arguments for order.\n * @param a The first element to be compared.\n * @param b The second element to be compared.\n * @return A negative number, zero, or a positive number as the first\n *     argument is less than, equal to, or greater than the second.\n */\nfunction defaultComparator<T>(a: T, b: T): number {\n  return a > b ? 1 : a < b ? -1 : 0;\n}\n\nfunction binarySearch_<T>(\n    arr: T[], target: T, comparator: (a: T, b: T) => number) {\n  let left = 0;\n  let right = arr.length;\n  let middle = 0;\n  let found = false;\n  while (left < right) {\n    middle = left + ((right - left) >>> 1);\n    const compareResult = comparator(target, arr[middle]);\n    if (compareResult > 0) {\n      left = middle + 1;\n    } else {\n      right = middle;\n      // If compareResult is 0, the value is found. We record it is found,\n      // and then keep looking because there may be duplicate.\n      found = !compareResult;\n    }\n  }\n\n  return found ? left : -left - 1;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Implementation of the NonMaxSuppression kernel shared between webgl and cpu.\n */\n\nimport {scalar, tensor1d} from '../ops/tensor_ops';\nimport {Tensor1D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {TypedArray} from '../types';\n\nimport {binaryInsert} from './array_util';\n\ninterface Candidate {\n  score: number;\n  boxIndex: number;\n  suppressBeginIndex: number;\n}\n\nexport function nonMaxSuppressionV3(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number): Tensor1D {\n  const dummySoftNmsSigma = 0.0;\n\n  return nonMaxSuppressionImpl_(\n             boxes, scores, maxOutputSize, iouThreshold, scoreThreshold,\n             dummySoftNmsSigma)\n             .selectedIndices as Tensor1D;\n}\n\nexport function nonMaxSuppressionV5(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number,\n    softNmsSigma: number): NamedTensorMap {\n  // For NonMaxSuppressionV5Op, we always return a second output holding\n  // corresponding scores.\n  const returnScoresTensor = true;\n\n  const result = nonMaxSuppressionImpl_(\n      boxes, scores, maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma,\n      returnScoresTensor);\n\n  result.numValidOutputs.dispose();\n\n  return {\n    selectedIndices: result.selectedIndices,\n    selectedScores: result.selectedScores\n  };\n}\n\nfunction nonMaxSuppressionImpl_(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number, softNmsSigma: number,\n    returnScoresTensor = false, padToMaxOutputSize = false): NamedTensorMap {\n  // The list is sorted in ascending order, so that we can always pop the\n  // candidate with the largest score in O(1) time.\n  const candidates =\n      Array.from(scores)\n          .map((score, boxIndex) => ({score, boxIndex, suppressBeginIndex: 0}))\n          .filter(c => c.score > scoreThreshold)\n          .sort(ascendingComparator);\n\n  // If softNmsSigma is 0, the outcome of this algorithm is exactly same as\n  // before.\n  const scale = softNmsSigma > 0 ? (-0.5 / softNmsSigma) : 0.0;\n\n  const selectedIndices: number[] = [];\n  const selectedScores: number[] = [];\n\n  while (selectedIndices.length < maxOutputSize && candidates.length > 0) {\n    const candidate = candidates.pop();\n    const {score: originalScore, boxIndex, suppressBeginIndex} = candidate;\n\n    if (originalScore < scoreThreshold) {\n      break;\n    }\n\n    // Overlapping boxes are likely to have similar scores, therefore we\n    // iterate through the previously selected boxes backwards in order to\n    // see if candidate's score should be suppressed. We use\n    // suppressBeginIndex to track and ensure a candidate can be suppressed\n    // by a selected box no more than once. Also, if the overlap exceeds\n    // iouThreshold, we simply ignore the candidate.\n    let ignoreCandidate = false;\n    for (let j = selectedIndices.length - 1; j >= suppressBeginIndex; --j) {\n      const iou = intersectionOverUnion(boxes, boxIndex, selectedIndices[j]);\n\n      if (iou >= iouThreshold) {\n        ignoreCandidate = true;\n        break;\n      }\n\n      candidate.score =\n          candidate.score * suppressWeight(iouThreshold, scale, iou);\n\n      if (candidate.score <= scoreThreshold) {\n        break;\n      }\n    }\n\n    // At this point, if `candidate.score` has not dropped below\n    // `scoreThreshold`, then we know that we went through all of the\n    // previous selections and can safely update `suppressBeginIndex` to the\n    // end of the selected array. Then we can re-insert the candidate with\n    // the updated score and suppressBeginIndex back in the candidate list.\n    // If on the other hand, `candidate.score` has dropped below the score\n    // threshold, we will not add it back to the candidates list.\n    candidate.suppressBeginIndex = selectedIndices.length;\n\n    if (!ignoreCandidate) {\n      // Candidate has passed all the tests, and is not suppressed, so\n      // select the candidate.\n      if (candidate.score === originalScore) {\n        selectedIndices.push(boxIndex);\n        selectedScores.push(candidate.score);\n      } else if (candidate.score > scoreThreshold) {\n        // Candidate's score is suppressed but is still high enough to be\n        // considered, so add back to the candidates list.\n        binaryInsert(candidates, candidate, ascendingComparator);\n      }\n    }\n  }\n\n  // NonMaxSuppressionV4 feature: padding output to maxOutputSize.\n  const numValidOutputs = selectedIndices.length;\n  if (padToMaxOutputSize) {\n    selectedIndices.fill(0, numValidOutputs);\n    selectedScores.fill(0.0, numValidOutputs);\n  }\n\n  return {\n    selectedIndices: tensor1d(selectedIndices, 'int32'),\n    selectedScores: tensor1d(selectedScores, 'float32'),\n    numValidOutputs: scalar(numValidOutputs, 'int32')\n  };\n}\n\nfunction intersectionOverUnion(boxes: TypedArray, i: number, j: number) {\n  const iCoord = boxes.subarray(i * 4, i * 4 + 4);\n  const jCoord = boxes.subarray(j * 4, j * 4 + 4);\n  const yminI = Math.min(iCoord[0], iCoord[2]);\n  const xminI = Math.min(iCoord[1], iCoord[3]);\n  const ymaxI = Math.max(iCoord[0], iCoord[2]);\n  const xmaxI = Math.max(iCoord[1], iCoord[3]);\n  const yminJ = Math.min(jCoord[0], jCoord[2]);\n  const xminJ = Math.min(jCoord[1], jCoord[3]);\n  const ymaxJ = Math.max(jCoord[0], jCoord[2]);\n  const xmaxJ = Math.max(jCoord[1], jCoord[3]);\n  const areaI = (ymaxI - yminI) * (xmaxI - xminI);\n  const areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);\n  if (areaI <= 0 || areaJ <= 0) {\n    return 0.0;\n  }\n  const intersectionYmin = Math.max(yminI, yminJ);\n  const intersectionXmin = Math.max(xminI, xminJ);\n  const intersectionYmax = Math.min(ymaxI, ymaxJ);\n  const intersectionXmax = Math.min(xmaxI, xmaxJ);\n  const intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) *\n      Math.max(intersectionXmax - intersectionXmin, 0.0);\n  return intersectionArea / (areaI + areaJ - intersectionArea);\n}\n\n// A Gaussian penalty function, this method always returns values in [0, 1].\n// The weight is a function of similarity, the more overlap two boxes are, the\n// smaller the weight is, meaning highly overlapping boxe will be significantly\n// penalized. On the other hand, a non-overlapping box will not be penalized.\nfunction suppressWeight(iouThreshold: number, scale: number, iou: number) {\n  const weight = Math.exp(scale * iou * iou);\n  return iou <= iouThreshold ? weight : 0.0;\n}\n\nfunction ascendingComparator(c1: Candidate, c2: Candidate) {\n  // For objects with same scores, we make the object with the larger index go\n  // first. In an array that pops from the end, this means that the object with\n  // the smaller index will be popped first. This ensures the same output as\n  // the TensorFlow python version.\n  return (c1.score - c2.score) ||\n      ((c1.score === c2.score) && (c2.boxIndex - c1.boxIndex));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\n\n/** Shared implementation of the split kernel across WebGL and CPU. */\nexport function split<T extends Tensor>(\n    x: T, sizeSplits: number[], axis: number): T[] {\n  const begin = new Array(x.rank).fill(0);\n  const size = x.shape.slice();\n  return sizeSplits.map(s => {\n    size[axis] = s;\n    const slice = x.slice(begin, size);\n    begin[axis] += s;\n    return slice;\n  });\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * An implementation of the tile kernel shared between webgl and cpu for string\n * tensors only.\n */\n\nimport {buffer} from '../ops/array_ops';\nimport {Tensor, TensorBuffer} from '../tensor';\nimport {DataType, Rank} from '../types';\n\nexport function tile<R extends Rank>(\n    xBuf: TensorBuffer<R, DataType>, reps: number[]): Tensor<R> {\n  const newShape: number[] = new Array(xBuf.rank);\n  for (let i = 0; i < newShape.length; i++) {\n    newShape[i] = xBuf.shape[i] * reps[i];\n  }\n  const result = buffer(newShape, xBuf.dtype);\n  for (let i = 0; i < result.values.length; ++i) {\n    const newLoc = result.indexToLoc(i);\n\n    const originalLoc: number[] = new Array(xBuf.rank);\n    for (let j = 0; j < originalLoc.length; j++) {\n      originalLoc[j] = newLoc[j] % xBuf.shape[j];\n    }\n\n    const originalIndex = xBuf.locToIndex(originalLoc);\n\n    result.values[i] = xBuf.values[originalIndex];\n  }\n  return result.toTensor() as Tensor<R>;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** An implementation of the TopK kernel shared between webgl and cpu. */\n\nimport {tensor} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\nimport {NumericDataType, TypedArray} from '../types';\nimport {getTypedArrayFromDType} from '../util';\n\nexport function topkImpl<T extends Tensor>(\n    x: TypedArray, xShape: number[], xDtype: NumericDataType, k: number,\n    sorted: boolean): [T, T] {\n  // Reshape into a 2d tensor [batch, lastDim] and compute topk along lastDim.\n  const lastDim = xShape[xShape.length - 1];\n  const [batch, size] = [x.length / lastDim, lastDim];\n  const allTopKVals = getTypedArrayFromDType(xDtype, batch * k);\n  const allTopKIndices = getTypedArrayFromDType('int32', batch * k);\n\n  for (let b = 0; b < batch; b++) {\n    const offset = b * size;\n    const vals = x.subarray(offset, offset + size);\n    const valAndInd: Array<{value: number, index: number}> = [];\n    for (let i = 0; i < vals.length; i++) {\n      valAndInd.push({value: vals[i], index: i});\n    }\n    valAndInd.sort((a, b) => b.value - a.value);\n\n    const outOffset = b * k;\n    const topKVals = allTopKVals.subarray(outOffset, outOffset + k);\n    const topKIndices = allTopKIndices.subarray(outOffset, outOffset + k);\n    for (let i = 0; i < k; i++) {\n      topKVals[i] = valAndInd[i].value;\n      topKIndices[i] = valAndInd[i].index;\n    }\n  }\n  // Reshape back to the original input shape, except that the last\n  // dimension is k.\n  const outputShape = xShape.slice();\n  outputShape[outputShape.length - 1] = k;\n  return [\n    tensor(allTopKVals, outputShape, xDtype) as T,\n    tensor(allTopKIndices, outputShape, 'int32') as T\n  ];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** An implementation of the Where kernel shared between cpu and webgl */\n\nimport {buffer} from '../ops/array_ops';\nimport {Tensor2D} from '../tensor';\nimport {TypedArray} from '../types';\n\nexport function whereImpl(condShape: number[], condVals: TypedArray): Tensor2D {\n  const indices = [];\n  for (let i = 0; i < condVals.length; i++) {\n    if (condVals[i]) {\n      indices.push(i);\n    }\n  }\n\n  const inBuffer = buffer(condShape, 'int32');\n\n  const out = buffer([indices.length, condShape.length], 'int32');\n  for (let i = 0; i < indices.length; i++) {\n    const loc = inBuffer.indexToLoc(indices[i]);\n    const offset = i * condShape.length;\n    out.values.set(loc, offset);\n  }\n  return out.toTensor() as Tensor2D;\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AddNProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(outputShape: number[], shapes: number[][]) {\n    this.outputShape = outputShape;\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const snippets: string[] = [];\n    // Get target elements from every input tensor.\n    this.variableNames.forEach(variable => {\n      snippets.push(`float v${variable} = get${variable}AtOutCoords();`);\n    });\n\n    // Calculate the sum of all elements.\n    const operation = this.variableNames\n                          .map(variable => {\n                            return `v${variable}`;\n                          })\n                          .join(' + ');\n\n    this.userCode = `\n      void main() {\n        ${snippets.join('\\n        ')}\n\n        float result = ${operation};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AddNPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(outputShape: number[], shapes: number[][]) {\n    this.outputShape = outputShape;\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const snippets: string[] = [];\n    // Get target elements from every input tensor.\n    this.variableNames.forEach(variable => {\n      snippets.push(`vec4 v${variable} = get${variable}AtOutCoords();`);\n    });\n\n    // Calculate the sum of all elements.\n    const operation = this.variableNames\n                          .map(variable => {\n                            return `v${variable}`;\n                          })\n                          .join(' + ');\n\n    this.userCode = `\n      void main() {\n        ${snippets.join('\\n        ')}\n\n        vec4 result = ${operation};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ReduceInfo} from '../../ops/reduce_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ArgMinMaxProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(reduceInfo: ReduceInfo, op: 'max'|'min', firstPass: boolean) {\n    const windowSize = reduceInfo.windowSize;\n    const batchSize = reduceInfo.batchSize;\n    const inSize = reduceInfo.inSize;\n    const outSize = Math.ceil(inSize / windowSize);\n    if (!firstPass) {\n      this.variableNames.push('bestIndicesA');\n    }\n    this.outputShape = [batchSize, outSize];\n    const compOp = (op === 'max') ? '>' : '<';\n    const indexSnippet = firstPass ?\n        'inOffset + i;' :\n        'round(getBestIndicesA(batch, inOffset + i));';\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ${windowSize};\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < ${windowSize}; i++) {\n          int inIdx = ${indexSnippet};\n          float candidate = getA(batch, inIdx);\n          if (candidate ${compOp} bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport function getVecChannels(name: string, rank: number): string[] {\n  return ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank).map(d => `${name}.${d}`);\n}\n\nexport function getChannels(name: string, rank: number): string[] {\n  if (rank === 1) {\n    return [name];\n  }\n  return getVecChannels(name, rank);\n}\n\nexport function getSourceCoords(rank: number, dims: string[]): string {\n  if (rank === 1) {\n    return 'rc';\n  }\n\n  let coords = '';\n  for (let i = 0; i < rank; i++) {\n    coords += dims[i];\n    if (i < rank - 1) {\n      coords += ',';\n    }\n  }\n  return coords;\n}","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {env} from '../../environment';\n\nexport type GLSL = {\n  version: string,\n  attribute: string,\n  varyingVs: string,\n  varyingFs: string,\n  texture2D: string,\n  output: string,\n  defineOutput: string,\n  defineSpecialNaN: string,\n  defineSpecialInf: string,\n  defineRound: string\n};\n\nexport function getGlslDifferences(): GLSL {\n  let version: string;\n  let attribute: string;\n  let varyingVs: string;\n  let varyingFs: string;\n  let texture2D: string;\n  let output: string;\n  let defineOutput: string;\n  let defineSpecialNaN: string;\n  let defineSpecialInf: string;\n  let defineRound: string;\n\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    version = '#version 300 es';\n    attribute = 'in';\n    varyingVs = 'out';\n    varyingFs = 'in';\n    texture2D = 'texture';\n    output = 'outputColor';\n    defineOutput = 'out vec4 outputColor;';\n\n    // Use custom isnan definition to work across differences between\n    // implementations on various platforms. While this should happen in ANGLE\n    // we still see differences between android and windows (on chrome) when\n    // using isnan directly.\n    defineSpecialNaN = `\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    `;\n    // In webgl 2 we do not need to specify a custom isinf so there is no\n    // need for a special INFINITY constant.\n    defineSpecialInf = ``;\n    defineRound = `\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    `;\n  } else {\n    version = '';\n    attribute = 'attribute';\n    varyingVs = 'varying';\n    varyingFs = 'varying';\n    texture2D = 'texture2D';\n    output = 'gl_FragColor';\n    defineOutput = '';\n    // WebGL1 has no built in isnan so we define one here.\n    defineSpecialNaN = `\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    `;\n    defineSpecialInf = `\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    `;\n    defineRound = `\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    `;\n  }\n\n  return {\n    version,\n    attribute,\n    varyingVs,\n    varyingFs,\n    texture2D,\n    output,\n    defineOutput,\n    defineSpecialNaN,\n    defineSpecialInf,\n    defineRound\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../../util';\n\n/**\n * Produces GLSL code that derives logical coordinates from a flat\n * index. The code performs integer division with each stride and decrements\n * the index until the index equals the final dimension coordinate.\n */\nexport function getLogicalCoordinatesFromFlatIndex(\n    coords: string[], shape: number[], index = 'index'): string {\n  const strides = util.computeStrides(shape);\n  return strides\n      .map((stride, i) => {\n        const line1 = `int ${coords[i]} = ${index} / ${stride}`;\n        const line2 = i === strides.length - 1 ?\n            `int ${coords[i + 1]} = ${index} - ${coords[i]} * ${stride}` :\n            `index -= ${coords[i]} * ${stride}`;\n        return `${line1}; ${line2};`;\n      })\n      .join('');\n}\n\nfunction buildVec(x: string[]): string {\n  if (x.length === 1) {\n    return `${x[0]}`;\n  }\n  return `vec${x.length}(${x.join(',')})`;\n}\n\n/**\n * Produces GLSL code that computes the dot product of the input x and y\n * vectors. Handles splitting inputs into increments of vec4s when necessary.\n */\nexport function dotify(x: string[], y: string[]): string {\n  if (x.length !== y.length) {\n    throw new Error(\n        `Vectors to be dotted must be of the same length -` +\n        `got ${x.length} and ${y.length}`);\n  }\n\n  const slices: string[] = [];\n  const nearestVec4 = Math.floor(x.length / 4);\n  const nearestVec4Remainder = x.length % 4;\n\n  for (let i = 0; i < nearestVec4; i++) {\n    const xSlice = x.slice(i * 4, i * 4 + 4);\n    const ySlice = y.slice(i * 4, i * 4 + 4);\n    slices.push(`${buildVec(xSlice)}, ${buildVec(ySlice)}`);\n  }\n\n  if (nearestVec4Remainder !== 0) {\n    let xSlice = x.slice(nearestVec4 * 4);\n    let ySlice = y.slice(nearestVec4 * 4);\n    if (xSlice.length === 1) {\n      xSlice = xSlice.map(d => `float(${d})`);\n      ySlice = ySlice.map(d => `float(${d})`);\n    }\n    slices.push(`${buildVec(xSlice)}, ${buildVec(ySlice)}`);\n  }\n\n  return slices.map((d, i) => `dot(${d})`).join('+');\n}\n\n/**\n * Produces GLSL that computes the flat index from 3D coordinates.\n */\nexport function getFlatIndexFrom3D(shape: [number, number, number]): string {\n  const strides = util.computeStrides(shape).map(d => d.toString());\n\n  return `\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * ${strides[0]} + coords.y * ${strides[1]} + coords.z;\n  }\n`;\n}\n\nexport const ENCODE_FLOAT_SNIPPET = `\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n`;","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getBroadcastDims} from '../../ops/broadcast_util';\nimport * as util from '../../util';\nimport {getGlslDifferences, GLSL} from './glsl_version';\nimport * as shader_util from './shader_compiler_util';\n\nexport type ShapeInfo = {\n  logicalShape: number[],\n  texShape: [number, number],\n  isUniform: boolean,\n  isPacked: boolean,\n  flatOffset: number\n};\n\nexport type InputInfo = {\n  name: string,\n  shapeInfo: ShapeInfo\n};\n\nexport function makeShader(\n    inputsInfo: InputInfo[], outputShape: ShapeInfo, userCode: string,\n    usesPackedTextures: boolean): string {\n  const prefixSnippets: string[] = [];\n  inputsInfo.forEach(x => {\n    const size = util.sizeFromShape(x.shapeInfo.logicalShape);\n\n    // Snippet when we decided to upload the values as uniform.\n    if (x.shapeInfo.isUniform) {\n      prefixSnippets.push(\n          `uniform float ${x.name}${size > 1 ? `[${size}]` : ''};`);\n    } else {\n      prefixSnippets.push(`uniform sampler2D ${x.name};`);\n      prefixSnippets.push(`uniform int offset${x.name};`);\n    }\n  });\n  const inputPrefixSnippet = prefixSnippets.join('\\n');\n\n  const inputSamplingSnippet =\n      inputsInfo\n          .map(x => getInputSamplingSnippet(x, outputShape, usesPackedTextures))\n          .join('\\n');\n  const outTexShape = outputShape.texShape;\n  const glsl = getGlslDifferences();\n  const floatTextureSampleSnippet = getFloatTextureSampleSnippet(glsl);\n  let outputSamplingSnippet: string;\n  let floatTextureSetOutputSnippet: string;\n  let shaderPrefix = getShaderPrefix(glsl);\n\n  if (outputShape.isPacked) {\n    outputSamplingSnippet =\n        getPackedOutputSamplingSnippet(outputShape.logicalShape, outTexShape);\n    floatTextureSetOutputSnippet = getFloatTextureSetRGBASnippet(glsl);\n  } else {\n    outputSamplingSnippet =\n        getOutputSamplingSnippet(outputShape.logicalShape, outTexShape);\n    floatTextureSetOutputSnippet = getFloatTextureSetRSnippet(glsl);\n  }\n\n  if (usesPackedTextures) {\n    shaderPrefix += SHADER_PACKED_PREFIX;\n  }\n\n  const source = [\n    shaderPrefix, floatTextureSampleSnippet, floatTextureSetOutputSnippet,\n    inputPrefixSnippet, outputSamplingSnippet, inputSamplingSnippet, userCode\n  ].join('\\n');\n  return source;\n}\n\nfunction getSamplerFromInInfo(inInfo: InputInfo): string {\n  const shape = inInfo.shapeInfo.logicalShape;\n  switch (shape.length) {\n    case 0:\n      return getSamplerScalar(inInfo);\n    case 1:\n      return getSampler1D(inInfo);\n    case 2:\n      return getSampler2D(inInfo);\n    case 3:\n      return getSampler3D(inInfo);\n    case 4:\n      return getSampler4D(inInfo);\n    case 5:\n      return getSampler5D(inInfo);\n    case 6:\n      return getSampler6D(inInfo);\n    default:\n      throw new Error(\n          `${shape.length}-D input sampling` +\n          ` is not yet supported`);\n  }\n}\n\nfunction getPackedSamplerFromInInfo(inInfo: InputInfo): string {\n  const shape = inInfo.shapeInfo.logicalShape;\n  switch (shape.length) {\n    case 0:\n      return getPackedSamplerScalar(inInfo);\n    case 1:\n      return getPackedSampler1D(inInfo);\n    case 2:\n      return getPackedSampler2D(inInfo);\n    case 3:\n      return getPackedSampler3D(inInfo);\n    default:\n      return getPackedSamplerND(inInfo);\n  }\n}\n\nfunction getInputSamplingSnippet(\n    inInfo: InputInfo, outShapeInfo: ShapeInfo,\n    usesPackedTextures = false): string {\n  let res = '';\n  if (usesPackedTextures) {\n    res += getPackedSamplerFromInInfo(inInfo);\n  } else {\n    res += getSamplerFromInInfo(inInfo);\n  }\n\n  const inShape = inInfo.shapeInfo.logicalShape;\n  const outShape = outShapeInfo.logicalShape;\n  if (inShape.length <= outShape.length) {\n    if (usesPackedTextures) {\n      res += getPackedSamplerAtOutputCoords(inInfo, outShapeInfo);\n    } else {\n      res += getSamplerAtOutputCoords(inInfo, outShapeInfo);\n    }\n  }\n  return res;\n}\n\nfunction getPackedOutputSamplingSnippet(\n    outShape: number[], outTexShape: [number, number]): string {\n  switch (outShape.length) {\n    case 0:\n      return getOutputScalarCoords();\n    case 1:\n      return getOutputPacked1DCoords(outShape as [number], outTexShape);\n    case 2:\n      return getOutputPacked2DCoords(outShape as [number, number], outTexShape);\n    case 3:\n      return getOutputPacked3DCoords(\n          outShape as [number, number, number], outTexShape);\n    default:\n      return getOutputPackedNDCoords(outShape, outTexShape);\n  }\n}\n\nfunction getOutputSamplingSnippet(\n    outShape: number[], outTexShape: [number, number]): string {\n  switch (outShape.length) {\n    case 0:\n      return getOutputScalarCoords();\n    case 1:\n      return getOutput1DCoords(outShape as [number], outTexShape);\n    case 2:\n      return getOutput2DCoords(outShape as [number, number], outTexShape);\n    case 3:\n      return getOutput3DCoords(\n          outShape as [number, number, number], outTexShape);\n    case 4:\n      return getOutput4DCoords(\n          outShape as [number, number, number, number], outTexShape);\n    case 5:\n      return getOutput5DCoords(\n          outShape as [number, number, number, number, number], outTexShape);\n    case 6:\n      return getOutput6DCoords(\n          outShape as [number, number, number, number, number, number],\n          outTexShape);\n    default:\n      throw new Error(\n          `${outShape.length}-D output sampling is not yet supported`);\n  }\n}\n\nfunction getFloatTextureSampleSnippet(glsl: GLSL): string {\n  return `\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return ${glsl.texture2D}(textureSampler, uv).r;\n    }\n  `;\n}\n\nfunction getFloatTextureSetRSnippet(glsl: GLSL): string {\n  return `\n    void setOutput(float val) {\n      ${glsl.output} = vec4(val, 0, 0, 0);\n    }\n  `;\n}\n\nfunction getFloatTextureSetRGBASnippet(glsl: GLSL): string {\n  return `\n    void setOutput(vec4 val) {\n      ${glsl.output} = val;\n    }\n  `;\n}\n\nfunction getShaderPrefix(glsl: GLSL): string {\n  const SHADER_PREFIX = `${glsl.version}\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    ${glsl.varyingFs} vec2 resultUV;\n    ${glsl.defineOutput}\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    ${glsl.defineSpecialNaN}\n    ${glsl.defineSpecialInf}\n    ${glsl.defineRound}\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    ${SAMPLE_1D_SNIPPET}\n    ${SAMPLE_2D_SNIPPET}\n    ${SAMPLE_3D_SNIPPET}\n  `;\n\n  return SHADER_PREFIX;\n}\n\nconst SAMPLE_1D_SNIPPET = `\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SAMPLE_2D_SNIPPET = `\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SAMPLE_3D_SNIPPET = `\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SHADER_PACKED_PREFIX = `\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n`;\n\nfunction getOutputScalarCoords() {\n  return `\n    int getOutputCoords() {\n      return 0;\n    }\n  `;\n}\n\nfunction getOutputPacked1DCoords(\n    shape: [number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  if (packedTexShape[0] === 1) {\n    return `\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * ${packedTexShape[1]}.0);\n      }\n    `;\n  }\n\n  if (packedTexShape[1] === 1) {\n    return `\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * ${packedTexShape[0]}.0);\n      }\n    `;\n  }\n\n  return `\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      return 2 * (resTexRC.x * ${packedTexShape[1]} + resTexRC.y);\n    }\n  `;\n}\n\nfunction getOutput1DCoords(\n    shape: [number], texShape: [number, number]): string {\n  if (texShape[0] === 1) {\n    return `\n      int getOutputCoords() {\n        return int(resultUV.x * ${texShape[1]}.0);\n      }\n    `;\n  }\n  if (texShape[1] === 1) {\n    return `\n      int getOutputCoords() {\n        return int(resultUV.y * ${texShape[0]}.0);\n      }\n    `;\n  }\n  return `\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      return resTexRC.x * ${texShape[1]} + resTexRC.y;\n    }\n  `;\n}\n\nfunction getOutputPacked3DCoords(\n    shape: [number, number, number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const texelsInLogicalRow = Math.ceil(shape[2] / 2);\n  const texelsInBatch = texelsInLogicalRow * Math.ceil(shape[1] / 2);\n\n  return `\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n\n      int b = index / ${texelsInBatch};\n      index -= b * ${texelsInBatch};\n\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec3(b, r, c);\n    }\n  `;\n}\n\nfunction getOutput3DCoords(\n    shape: [number, number, number], texShape: [number, number]): string {\n  const coordsFromIndexSnippet =\n      shader_util.getLogicalCoordinatesFromFlatIndex(['r', 'c', 'd'], shape);\n\n  return `\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      ${coordsFromIndexSnippet}\n      return ivec3(r, c, d);\n    }\n  `;\n}\n\nfunction getOutputPackedNDCoords(\n    shape: number[], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n\n  const texelsInLogicalRow = Math.ceil(shape[shape.length - 1] / 2);\n  const texelsInBatch =\n      texelsInLogicalRow * Math.ceil(shape[shape.length - 2] / 2);\n  let texelsInBatchN = texelsInBatch;\n  let batches = ``;\n  let coords = 'b, r, c';\n\n  for (let b = 2; b < shape.length - 1; b++) {\n    texelsInBatchN *= shape[shape.length - b - 1];\n    batches = `\n      int b${b} = index / ${texelsInBatchN};\n      index -= b${b} * ${texelsInBatchN};\n    ` + batches;\n    coords = `b${b}, ` + coords;\n  }\n\n  return `\n    ivec${shape.length} getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n\n      ${batches}\n\n      int b = index / ${texelsInBatch};\n      index -= b * ${texelsInBatch};\n\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec${shape.length}(${coords});\n    }\n  `;\n}\n\nfunction getOutput4DCoords(\n    shape: [number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2'], shape);\n\n  return `\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      ${coordsFromIndexSnippet}\n      return ivec4(r, c, d, d2);\n    }\n  `;\n}\n\nfunction getOutput5DCoords(\n    shape: [number, number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2', 'd3'], shape);\n\n  return `\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(${texShape[0]},\n                             ${texShape[1]}));\n\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n\n      ${coordsFromIndexSnippet}\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  `;\n}\n\nfunction getOutput6DCoords(\n    shape: [number, number, number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2', 'd3', 'd4'], shape);\n\n  return `\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n\n      ${coordsFromIndexSnippet}\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  `;\n}\n\nfunction getOutputPacked2DCoords(\n    shape: [number, number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  if (util.arraysEqual(shape, texShape)) {\n    return `\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2(${packedTexShape[0]}, ${\n        packedTexShape[1]}));\n      }\n    `;\n  }\n\n  // texels needed to accommodate a logical row\n  const texelsInLogicalRow = Math.ceil(shape[1] / 2);\n\n  /**\n   * getOutputCoords\n   *\n   * resTexRC: The rows and columns of the texels. If you move over one\n   * texel to the right in the packed texture, you are moving over one column\n   * (not two).\n   *\n   * index: The texel index\n   */\n  return `\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec2(r, c);\n    }\n  `;\n}\n\nfunction getOutput2DCoords(\n    shape: [number, number], texShape: [number, number]): string {\n  if (util.arraysEqual(shape, texShape)) {\n    return `\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(${texShape[0]}, ${texShape[1]}));\n      }\n    `;\n  }\n  if (shape[1] === 1) {\n    return `\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(${texShape[0]}, ${texShape[1]}));\n        int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    `;\n  }\n  if (shape[0] === 1) {\n    return `\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(${texShape[0]}, ${texShape[1]}));\n        int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n        return ivec2(0, index);\n      }\n    `;\n  }\n  return `\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      int r = index / ${shape[1]};\n      int c = index - r * ${shape[1]};\n      return ivec2(r, c);\n    }\n  `;\n}\n\nfunction getFlatOffsetUniformName(texName: string): string {\n  return `offset${texName}`;\n}\n\nfunction getPackedSamplerScalar(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const glsl = getGlslDifferences();\n  return `\n    vec4 ${funcName}() {\n      return ${glsl.texture2D}(${texName}, halfCR);\n    }\n  `;\n}\n\nfunction getSamplerScalar(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  if (inputInfo.shapeInfo.isUniform) {\n    return `float ${funcName}() {return ${texName};}`;\n  }\n  const [texNumR, texNumC] = inputInfo.shapeInfo.texShape;\n  if (texNumR === 1 && texNumC === 1) {\n    return `\n      float ${funcName}() {\n        return sampleTexture(${texName}, halfCR);\n      }\n    `;\n  }\n\n  const [tNumR, tNumC] = inputInfo.shapeInfo.texShape;\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}() {\n      vec2 uv = uvFromFlat(${tNumR}, ${tNumC}, ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getPackedSampler1D(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const glsl = getGlslDifferences();\n\n  return `\n    vec4 ${funcName}(int index) {\n      vec2 uv = packedUVfrom1D(\n        ${packedTexShape[0]}, ${packedTexShape[1]}, index);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler1D(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int index) {\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texShape = inputInfo.shapeInfo.texShape;\n  const tNumR = texShape[0];\n  const tNumC = texShape[1];\n\n  if (tNumC === 1 && tNumR === 1) {\n    return `\n      float ${funcName}(int index) {\n        return sampleTexture(${texName}, halfCR);\n      }\n    `;\n  }\n  const offset = getFlatOffsetUniformName(texName);\n  if (tNumC === 1) {\n    return `\n      float ${funcName}(int index) {\n        vec2 uv = vec2(0.5, (float(index + ${offset}) + 0.5) / ${tNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (tNumR === 1) {\n    return `\n      float ${funcName}(int index) {\n        vec2 uv = vec2((float(index + ${offset}) + 0.5) / ${tNumC}.0, 0.5);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  return `\n    float ${funcName}(int index) {\n      vec2 uv = uvFromFlat(${tNumR}, ${tNumC}, index + ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getPackedSampler2D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const glsl = getGlslDifferences();\n  if (texShape != null && util.arraysEqual(shape, texShape)) {\n    return `\n      vec4 ${funcName}(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n\n        return ${glsl.texture2D}(${texName}, uv);\n      }\n    `;\n  }\n\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const valuesPerRow = Math.ceil(shape[1] / 2);\n\n  return `\n    vec4 ${funcName}(int row, int col) {\n      vec2 uv = packedUVfrom2D(${valuesPerRow}, ${packedTexShape[0]}, ${\n      packedTexShape[1]}, row, col);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler2D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n\n  if (texShape != null && util.arraysEqual(shape, texShape)) {\n    const texNumR = texShape[0];\n    const texNumC = texShape[1];\n    return `\n    float ${funcName}(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  const squeezedShape = newShape;\n  if (squeezedShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['row', 'col'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2(${shape[1]}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const offset = getFlatOffsetUniformName(texName);\n  if (texNumC === 1) {\n    // index is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col) {\n      float index = dot(vec3(row, col, ${offset}), vec3(${shape[1]}, 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n  if (texNumR === 1) {\n    // index is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col) {\n      float index = dot(vec3(row, col, ${offset}), vec3(${shape[1]}, 1, 1));\n      vec2 uv = vec2((index + 0.5) / ${texNumC}.0, 0.5);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  return `\n  float ${funcName}(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * ${shape[1]} + col + ${offset};\n    vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n    return sampleTexture(${texName}, uv);\n  }\n`;\n}\n\nfunction getPackedSampler3D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n\n  if (shape[0] === 1) {\n    const squeezedShape = shape.slice(1);\n    const keptDims = [1, 2];\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['b', 'row', 'col'];\n    return `\n        ${getPackedSamplerFromInInfo(newInputInfo)}\n        vec4 ${funcName}(int b, int row, int col) {\n          return ${funcName}(${getSqueezedParams(params, keptDims)});\n        }\n      `;\n  }\n\n  const texNumR = packedTexShape[0];\n  const texNumC = packedTexShape[1];\n\n  const valuesPerRow = Math.ceil(shape[2] / 2);\n  const texelsInBatch = valuesPerRow * Math.ceil(shape[1] / 2);\n  const glsl = getGlslDifferences();\n\n  return `\n    vec4 ${funcName}(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ${texNumR}, ${texNumC}, ${texelsInBatch}, ${valuesPerRow}, b, row, col);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler3D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride0 = shape[1] * shape[2];\n  const stride1 = shape[2];\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  const squeezedShape = newShape;\n  if (squeezedShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['row', 'col', 'depth'];\n    return `\n        ${getSamplerFromInInfo(newInputInfo)}\n        float ${funcName}(int row, int col, int depth) {\n          return ${funcName}(${getSqueezedParams(params, keptDims)});\n        }\n      `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3(${stride0}, ${stride1}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n        float ${funcName}(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2(${stride1}, 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2(${texNumC}.0, ${texNumR}.0);\n          return sampleTexture(${texName}, uv);\n        }\n      `;\n  }\n\n  if (texNumC === stride1 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2(${shape[1]}, 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n      float ${funcName}(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ${stride0} + col * ${stride1} + depth + ${offset};\n        vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n        return sampleTexture(${texName}, uv);\n      }\n  `;\n}\n\nfunction getPackedSamplerND(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const rank = shape.length;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const texNumR = packedTexShape[0];\n  const texNumC = packedTexShape[1];\n\n  const valuesPerRow = Math.ceil(shape[rank - 1] / 2);\n  let texelsInBatch = valuesPerRow * Math.ceil(shape[rank - 2] / 2);\n  let params = `int b, int row, int col`;\n  let index = `b * ${texelsInBatch} + (row / 2) * ${valuesPerRow} + (col / 2)`;\n  for (let b = 2; b < rank - 1; b++) {\n    params = `int b${b}, ` + params;\n    texelsInBatch *= shape[rank - b - 1];\n    index = `b${b} * ${texelsInBatch} + ` + index;\n  }\n  const glsl = getGlslDifferences();\n  return `\n    vec4 ${funcName}(${params}) {\n      int index = ${index};\n      int texR = index / ${texNumC};\n      int texC = index - texR * ${texNumC};\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${texNumC}, ${texNumR});\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler4D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride2 = shape[3];\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4(${stride0}, ${stride1}, ${stride2}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(${stride1}, ${stride2}, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (texNumC === stride2 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(${shape[1] * shape[2]}, ${shape[2]}, 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} +\n          depth * ${stride2} + depth2;\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index + ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler5D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride3 = shape[4];\n  const stride2 = shape[3] * stride3;\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2', 'depth3'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4(${stride0}, ${stride1}, ${stride2}, ${stride3})) +\n          depth3;\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4(${stride1}, ${stride2}, ${stride3}, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  if (texNumC === stride3 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4(${shape[1] * shape[2] * shape[3]},\n               ${shape[2] * shape[3]}, ${shape[3]}, 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} + depth * ${stride2} +\n          depth2 * ${stride3} + depth3 + ${offset};\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler6D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2', 'depth3', 'depth4'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  const stride4 = shape[5];\n  const stride3 = shape[4] * stride4;\n  const stride2 = shape[3] * stride3;\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4(${stride0}, ${stride1}, ${stride2}, ${stride3})) +\n          dot(\n            vec2(depth3, depth4),\n            vec2(${stride4}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4(${stride1}, ${stride2}, ${stride3}, ${stride4})) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (texNumC === stride4 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4(${shape[1] * shape[2] * shape[3] * shape[4]},\n               ${shape[2] * shape[3] * shape[4]},\n               ${shape[3] * shape[4]},\n               ${shape[4]})) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} + depth * ${stride2} +\n          depth2 * ${stride3} + depth3 * ${stride4} + depth4 + ${offset};\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getUniformSampler(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const inSize = util.sizeFromShape(inputInfo.shapeInfo.logicalShape);\n\n  if (inSize < 2) {\n    return `return ${texName};`;\n  }\n  return `\n    for (int i = 0; i < ${inSize}; i++) {\n      if (i == index) {\n        return ${texName}[i];\n      }\n    }\n  `;\n}\n\nfunction getPackedSamplerAtOutputCoords(\n    inputInfo: InputInfo, outShapeInfo: ShapeInfo) {\n  const texName = inputInfo.name;\n  const texFuncSnippet = texName.charAt(0).toUpperCase() + texName.slice(1);\n  const funcName = 'get' + texFuncSnippet + 'AtOutCoords';\n  const inRank = inputInfo.shapeInfo.logicalShape.length;\n  const outRank = outShapeInfo.logicalShape.length;\n\n  const broadcastDims = getBroadcastDims(\n      inputInfo.shapeInfo.logicalShape, outShapeInfo.logicalShape);\n\n  const type = getCoordsDataType(outRank);\n  const rankDiff = outRank - inRank;\n  let coordsSnippet: string;\n  const fields = ['x', 'y', 'z', 'w', 'u', 'v'];\n\n  if (inRank === 0) {\n    coordsSnippet = '';\n  } else if (outRank < 2 && broadcastDims.length >= 1) {\n    coordsSnippet = 'coords = 0;';\n  } else {\n    coordsSnippet =\n        broadcastDims.map(d => `coords.${fields[d + rankDiff]} = 0;`)\n            .join('\\n');\n  }\n  let unpackedCoordsSnippet = '';\n  if (outRank < 2 && inRank > 0) {\n    unpackedCoordsSnippet = 'coords';\n  } else {\n    unpackedCoordsSnippet = inputInfo.shapeInfo.logicalShape\n                                .map((s, i) => `coords.${fields[i + rankDiff]}`)\n                                .join(', ');\n  }\n\n  let output = `return outputValue;`;\n  const inSize = util.sizeFromShape(inputInfo.shapeInfo.logicalShape);\n  const isInputScalar = inSize === 1;\n  const outSize = util.sizeFromShape(outShapeInfo.logicalShape);\n  const isOutputScalar = outSize === 1;\n\n  if (inRank === 1 && !isInputScalar && !isOutputScalar) {\n    output = `\n      return vec4(outputValue.xy, outputValue.xy);\n    `;\n  } else if (isInputScalar && !isOutputScalar) {\n    if (outRank === 1) {\n      output = `\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      `;\n    } else {\n      output = `\n        return vec4(outputValue.x);\n      `;\n    }\n  } else if (broadcastDims.length) {\n    const rows = inRank - 2;\n    const cols = inRank - 1;\n\n    if (broadcastDims.indexOf(rows) > -1 && broadcastDims.indexOf(cols) > -1) {\n      output = `return vec4(outputValue.x);`;\n    } else if (broadcastDims.indexOf(rows) > -1) {\n      output = `return vec4(outputValue.x, outputValue.y, ` +\n          `outputValue.x, outputValue.y);`;\n    } else if (broadcastDims.indexOf(cols) > -1) {\n      output = `return vec4(outputValue.xx, outputValue.zz);`;\n    }\n  }\n\n  return `\n    vec4 ${funcName}() {\n      ${type} coords = getOutputCoords();\n      ${coordsSnippet}\n      vec4 outputValue = get${texFuncSnippet}(${unpackedCoordsSnippet});\n      ${output}\n    }\n  `;\n}\n\nfunction getSamplerAtOutputCoords(\n    inputInfo: InputInfo, outShapeInfo: ShapeInfo) {\n  const texName = inputInfo.name;\n  const texFuncSnippet = texName.charAt(0).toUpperCase() + texName.slice(1);\n  const funcName = 'get' + texFuncSnippet + 'AtOutCoords';\n  const outTexShape = outShapeInfo.texShape;\n  const inTexShape = inputInfo.shapeInfo.texShape;\n  const inRank = inputInfo.shapeInfo.logicalShape.length;\n  const outRank = outShapeInfo.logicalShape.length;\n\n  if (!inputInfo.shapeInfo.isUniform && inRank === outRank &&\n      inputInfo.shapeInfo.flatOffset == null &&\n      util.arraysEqual(inTexShape, outTexShape)) {\n    return `\n      float ${funcName}() {\n        return sampleTexture(${texName}, resultUV);\n      }\n    `;\n  }\n\n  const type = getCoordsDataType(outRank);\n  const broadcastDims = getBroadcastDims(\n      inputInfo.shapeInfo.logicalShape, outShapeInfo.logicalShape);\n  const rankDiff = outRank - inRank;\n  let coordsSnippet: string;\n  const fields = ['x', 'y', 'z', 'w', 'u', 'v'];\n\n  if (inRank === 0) {\n    coordsSnippet = '';\n  } else if (outRank < 2 && broadcastDims.length >= 1) {\n    coordsSnippet = 'coords = 0;';\n  } else {\n    coordsSnippet =\n        broadcastDims.map(d => `coords.${fields[d + rankDiff]} = 0;`)\n            .join('\\n');\n  }\n  let unpackedCoordsSnippet = '';\n  if (outRank < 2 && inRank > 0) {\n    unpackedCoordsSnippet = 'coords';\n  } else {\n    unpackedCoordsSnippet = inputInfo.shapeInfo.logicalShape\n                                .map((s, i) => `coords.${fields[i + rankDiff]}`)\n                                .join(', ');\n  }\n\n  return `\n    float ${funcName}() {\n      ${type} coords = getOutputCoords();\n      ${coordsSnippet}\n      return get${texFuncSnippet}(${unpackedCoordsSnippet});\n    }\n  `;\n}\n\nexport function getCoordsDataType(rank: number): string {\n  if (rank <= 1) {\n    return 'int';\n  } else if (rank === 2) {\n    return 'ivec2';\n  } else if (rank === 3) {\n    return 'ivec3';\n  } else if (rank === 4) {\n    return 'ivec4';\n  } else if (rank === 5) {\n    return 'ivec5';\n  } else if (rank === 6) {\n    return 'ivec6';\n  } else {\n    throw Error(`GPU for rank ${rank} is not yet supported`);\n  }\n}\n\n/** Returns a new input info (a copy) that has a squeezed logical shape. */\nfunction squeezeInputInfo(\n    inInfo: InputInfo, squeezedShape: number[]): InputInfo {\n  // Deep copy.\n  const newInputInfo: InputInfo = JSON.parse(JSON.stringify(inInfo));\n  newInputInfo.shapeInfo.logicalShape = squeezedShape;\n  return newInputInfo;\n}\n\nfunction getSqueezedParams(params: string[], keptDims: number[]): string {\n  return keptDims.map(d => params[d]).join(', ');\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from '../../util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ArgMinMaxPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      shape: number[], windowSize: number, op: 'max'|'min',\n      firstPass: boolean) {\n    assert(\n        shape.length > 2,\n        () => `Packed arg${\n            op.charAt(0).toUpperCase() +\n            op.slice(1)} supports only inputs with rank above 2.`);\n    const inSize = shape[shape.length - 1];\n    const outSize = Math.ceil(inSize / windowSize);\n    this.outputShape = shape.slice(0, -1);\n    if (outSize > 1) {\n      this.outputShape.push(outSize);\n    }\n    if (!firstPass) {\n      this.variableNames.push('bestIndicesA');\n    }\n    const outShape = this.outputShape;\n    const rank = outShape.length;\n    const dtype = getCoordsDataType(rank);\n    const coords = getChannels('coords', rank);\n\n    let sourceLocSetup;\n    let sourceRank;\n    if (outSize === 1) {\n      sourceRank = rank + 1;\n      const sourceLocDType = getCoordsDataType(sourceRank);\n      sourceLocSetup = `\n        ${sourceLocDType} sourceLocR = ${sourceLocDType}(${coords.join()}, 0);\n        ++${coords[rank - 1]};\n        ${sourceLocDType} sourceLocG = ${sourceLocDType}(${coords.join()}, 0);\n        ++${coords[rank - 2]};\n        ${sourceLocDType} sourceLocA = ${sourceLocDType}(${coords.join()}, 0);\n        --${coords[rank - 1]};\n        ${sourceLocDType} sourceLocB = ${sourceLocDType}(${coords.join()}, 0);\n        --${coords[rank - 2]};`;\n    } else {\n      sourceRank = rank;\n      sourceLocSetup = `\n        ${dtype} sourceLocR = coords;\n        ++${coords[rank - 1]};\n        ${dtype} sourceLocG = coords;\n        ++${coords[rank - 2]};\n        ${dtype} sourceLocA = coords;\n        --${coords[rank - 1]};\n        ${dtype} sourceLocB = coords;\n        --${coords[rank - 2]};`;\n    }\n    const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, sourceRank);\n    const inChannel = '.' + channels[sourceRank - 1];  // e.g. \".b\" for rank 3.\n    const intChannels = channels.map(x => 'int ' + x);\n    const srcRCoords =\n        getChannels('sourceLocR', sourceRank - 1).concat('inIdx.r');\n    const srcGCoords =\n        getChannels('sourceLocG', sourceRank - 1).concat('inIdx.g');\n    const srcBCoords =\n        getChannels('sourceLocB', sourceRank - 1).concat('inIdx.b');\n    const srcACoords =\n        getChannels('sourceLocA', sourceRank - 1).concat('inIdx.a');\n\n    const compOp = (op === 'max') ? 'greaterThan' : 'lessThan';\n    const fetchCandidateIdx = firstPass ? '' : `\n          inIdx = round(vec4(getBestIndicesAChannel(${srcRCoords.join()}),\n                             getBestIndicesAChannel(${srcGCoords.join()}),\n                             getBestIndicesAChannel(${srcBCoords.join()}),\n                             getBestIndicesAChannel(${srcACoords.join()})));`;\n\n    const fetchValue = `vec4(\n            getAChannel(${srcRCoords.join()}),\n            hasNextCol ? getAChannel(${srcGCoords.join()}) : 0.,\n            hasNextRow ? getAChannel(${srcBCoords.join()}) : 0.,\n            hasNextRow && hasNextCol ? getAChannel(${srcACoords.join()}) : 0.)`;\n\n    const getBestIndicesAChannelSnippet = firstPass ? '' : `\n      float getBestIndicesAChannel(${intChannels.join()}) {\n        return getChannel(getBestIndicesA(${channels.join()}),\n                                          vec2(${channels.slice(-2).join()}));\n      }`;\n\n    this.userCode = `\n      float getAChannel(${intChannels.join()}) {\n        return getChannel(getA(${channels.join()}),\n                               vec2(${channels.slice(-2).join()}));\n      }\n      ${getBestIndicesAChannelSnippet}\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        bool hasNextCol = ${coords[rank - 1]} < ${outShape[rank - 1] - 1};\n        bool hasNextRow = ${coords[rank - 2]} < ${outShape[rank - 2] - 1};\n        ${sourceLocSetup}\n        ivec4 srcIdx = ivec4(sourceLocR${inChannel}, sourceLocG${inChannel},\n          sourceLocB${inChannel}, sourceLocA${inChannel}) * ${windowSize};\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = ${fetchValue};\n\n        for (int i = 0; i < ${windowSize}; i++) {\n          inIdx = srcIdx;\n          ${fetchCandidateIdx}\n          vec4 candidate = ${fetchValue};\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4(${compOp}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AvgPool2DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const avgMultiplier = 1 / (filterHeight * filterWidth);\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n      const float avgMultiplier = float(${avgMultiplier});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ${effectiveFilterWidth};\n            wC+= ${dilationWidth}) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class AvgPool3DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);\n\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n      const float avgMultiplier = float(${avgMultiplier});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n            wD += ${dilationDepth}) {\n          float dyD = float(dyDCorner + wD) / ${strideDepth}.0;\n\n          if (dyD < 0.0 || dyD >= ${convInfo.outDepth}.0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class BatchNormProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      xShape: number[], meanShape: number[], varianceShape: number[],\n      offsetShape: number[]|null, scaleShape: number[]|null,\n      varianceEpsilon: number) {\n    this.variableNames = ['x', 'mean', 'variance'];\n    broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);\n    broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);\n\n    let offsetSnippet = '0.0';\n    if (offsetShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);\n      this.variableNames.push('offset');\n      offsetSnippet = 'getOffsetAtOutCoords()';\n    }\n\n    let scaleSnippet = '1.0';\n    if (scaleShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);\n      this.variableNames.push('scale');\n      scaleSnippet = 'getScaleAtOutCoords()';\n    }\n\n    this.outputShape = xShape;\n    this.userCode = `\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ${offsetSnippet};\n        float scale = ${scaleSnippet};\n        float inv = scale * inversesqrt(variance + float(${varianceEpsilon}));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class BatchNormPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      xShape: number[], meanShape: number[], varianceShape: number[],\n      offsetShape: number[]|null, scaleShape: number[]|null,\n      varianceEpsilon: number) {\n    this.variableNames = ['x', 'mean', 'variance'];\n    broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);\n    broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);\n\n    let offsetSnippet = 'vec4(0.0)';\n    if (offsetShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);\n      this.variableNames.push('offset');\n      offsetSnippet = 'getOffsetAtOutCoords()';\n    }\n\n    let scaleSnippet = 'vec4(1.0)';\n    if (scaleShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);\n      this.variableNames.push('scale');\n      scaleSnippet = 'getScaleAtOutCoords()';\n    }\n\n    this.outputShape = xShape;\n    this.userCode = `\n      void main() {\n        vec4 offset = ${offsetSnippet};\n        vec4 scale = ${scaleSnippet};\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(${varianceEpsilon}));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\n// (Ar + Ai)(Br + Bi) =\n// ArBr + ArBi + AiBr + AiBi = ArBr - AB + ArBi + AiBr\n// Yr = ArBr - AB\n// Yi = ArBi + AiBr\nexport const COMPLEX_MULTIPLY = {\n  REAL: 'return areal * breal - aimag * bimag;',\n  IMAG: 'return areal * bimag + aimag * breal;'\n};\n\nexport class BinaryOpComplexProgram implements GPGPUProgram {\n  variableNames = ['AReal', 'AImag', 'BReal', 'BImag'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(op: string, aShape: number[], bShape: number[]) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n\n    this.userCode = `\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        ${op}\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nconst CHECK_NAN_SNIPPET = `\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n`;\n\nexport const ADD = 'return a + b;';\nexport const SUB = 'return a - b;';\nexport const MUL = 'return a * b;';\n\n// Without the equality check div produces 0.9999 for a = b, which when\n// floored can cause errors.\nexport const DIV = `\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;`;\n\n// We use native integer division to deal with floating point imprecision. Since\n// we implement floor division and glsl implements truncated division, we\n// correct for this by subtracting 1 from result when the result is negative and\n// there is a remainder.\nexport const INT_DIV = `\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n`;\n\nexport const POW = `\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`;\nexport const SQUARED_DIFFERENCE = 'return (a - b) * (a - b);';\n\nexport const EQUAL = `return float(a == b);`;\n\nexport const NOT_EQUAL = `return float(a != b);`;\n\nexport const LESS = `return float(a < b);`;\n\nexport const LESS_EQUAL = `return float(a <= b);`;\n\nexport const GREATER = `return float(a > b);`;\n\nexport const GREATER_EQUAL = `return float(a >= b);`;\n\nexport const LOGICAL_AND = `return float(a >= 1.0 && b >= 1.0);`;\n\nexport const LOGICAL_OR = `return float(a >= 1.0 || b >= 1.0);`;\n\nexport const MAX = CHECK_NAN_SNIPPET + `\n  return max(a, b);\n`;\nexport const MIN = CHECK_NAN_SNIPPET + `\n  return min(a, b);\n`;\nexport const MOD = `if (b == 0.0) return NAN;\n  return mod(a, b);`;\n\nexport const ATAN2 = CHECK_NAN_SNIPPET + `\n  return atan(a, b);\n`;\n\nexport const ELU_DER = `return (b >= 1.0) ? a : a * (b + 1.0);`;\n\nexport const PRELU = `return (a < 0.) ? b * a : a;`;\n\nexport class BinaryOpProgram implements GPGPUProgram {\n  variableNames = ['A', 'B'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(op: string, aShape: number[], bShape: number[]) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n    this.userCode = `\n      float binaryOperation(float a, float b) {\n        ${op}\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {sizeFromShape} from '../../util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nconst CHECK_NAN_SNIPPET = `\n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n`;\n\n// We do the same as in ./binaryop_gpu, with vec4 and ivec4.\n// On Linux, the vectorized implementation produces NaNs when a and b are 0.\nexport const DIV = `\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n`;\n\nexport const INT_DIV = `\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n`;\n\nexport const POW = `\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const PRELU = `\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;\n\nexport const ELU_DER = `\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`;\n\nexport const ATAN2 = `\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const EQUAL = `\n  return vec4(equal(a, b));\n`;\n\nexport const NOT_EQUAL = `\n  return vec4(notEqual(a, b));\n`;\n\nexport const LESS = `\n  return vec4(lessThan(a, b));\n`;\n\nexport const LESS_EQUAL = `\n  return vec4(lessThanEqual(a, b));\n`;\n\nexport const GREATER = `\n  return vec4(greaterThan(a, b));\n`;\n\nexport const GREATER_EQUAL = `\n  return vec4(greaterThanEqual(a, b));\n`;\n\nexport const LOGICAL_AND = `\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n`;\n\nexport const LOGICAL_OR = `\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n`;\n\nexport const MAX = `\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const MIN = `\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const MOD = `\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport class BinaryOpPackedProgram implements GPGPUProgram {\n  variableNames = ['A', 'B'];\n  outputShape: number[];\n  userCode: string;\n  supportsBroadcasting = true;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      op: string, aShape: number[], bShape: number[],\n      checkOutOfBounds = false) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n    const rank = this.outputShape.length;\n    let checkOutOfBoundsString = '';\n    if (checkOutOfBounds) {\n      if (rank === 0 || sizeFromShape(this.outputShape) === 1) {\n        checkOutOfBoundsString = `\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        `;\n      } else {\n        const dtype = getCoordsDataType(rank);\n        checkOutOfBoundsString = `\n          ${dtype} coords = getOutputCoords();\n        `;\n        if (rank === 1) {\n          checkOutOfBoundsString += `\n            result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          `;\n        } else {\n          const channels = getChannels('coords', rank);\n          checkOutOfBoundsString += `\n            bool nextRowOutOfBounds =\n              (${channels[rank - 2]} + 1) >= ${this.outputShape[rank - 2]};\n            bool nextColOutOfBounds =\n              (${channels[rank - 1]} + 1) >= ${this.outputShape[rank - 1]};\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          `;\n        }\n      }\n    }\n\n    this.userCode = `\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        ${op}\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        ${checkOutOfBoundsString}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ClipProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  // Caching uniform locations for speed.\n  minLoc: WebGLUniformLocation;\n  maxLoc: WebGLUniformLocation;\n\n  constructor(aShape: number[]) {\n    this.outputShape = aShape;\n    this.userCode = `\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(min: number, max: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.minLoc == null) {\n        this.minLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'minVal');\n        this.maxLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'maxVal');\n      }\n      gpgpu.gl.uniform1f(this.minLoc, min);\n      gpgpu.gl.uniform1f(this.maxLoc, max);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ClipPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  userCode: string;\n  outputShape: number[];\n\n  // Caching uniform locations for speed.\n  minLoc: WebGLUniformLocation;\n  maxLoc: WebGLUniformLocation;\n\n  constructor(aShape: number[]) {\n    this.outputShape = aShape;\n    this.userCode = `\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(min: number, max: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.minLoc == null) {\n        this.minLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'minVal');\n        this.maxLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'maxVal');\n      }\n      gpgpu.gl.uniform1f(this.minLoc, min);\n      gpgpu.gl.uniform1f(this.maxLoc, max);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ComplexAbsProgram implements GPGPUProgram {\n  variableNames = ['real', 'imag'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(shape: number[]) {\n    this.outputShape = shape;\n    this.userCode = `\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as concat_util from '../../ops/concat_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ConcatProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  // Concats 2d tensors along axis=1. See comments in MathBackendWebGL.concat().\n  constructor(shapes: Array<[number, number]>) {\n    this.outputShape = concat_util.computeOutShape(shapes, 1 /* axis */);\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const offsets: number[] = new Array(shapes.length - 1);\n    offsets[0] = shapes[0][1];\n    for (let i = 1; i < offsets.length; i++) {\n      offsets[i] = offsets[i - 1] + shapes[i][1];\n    }\n\n    const snippets = [`if (yC < ${offsets[0]}) setOutput(getT0(yR, yC));`];\n    for (let i = 1; i < offsets.length; i++) {\n      const shift = offsets[i - 1];\n      snippets.push(\n          `else if (yC < ${offsets[i]}) ` +\n          `setOutput(getT${i}(yR, yC-${shift}));`);\n    }\n    const lastIndex = offsets.length;\n    const lastShift = offsets[offsets.length - 1];\n    snippets.push(`else setOutput(getT${lastIndex}(yR, yC-${lastShift}));`);\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        ${snippets.join('\\n        ')}\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as concat_util from '../../ops/concat_util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ConcatPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(shapes: number[][], axis: number) {\n    this.outputShape = concat_util.computeOutShape(shapes, axis);\n    const shape = this.outputShape;\n    const rank = shape.length;\n    const dtype = getCoordsDataType(rank);\n    const coords = getChannels('coords', rank);\n    const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank);\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const offsets: number[] = new Array(shapes.length - 1);\n    offsets[0] = shapes[0][axis];\n    for (let i = 1; i < offsets.length; i++) {\n      offsets[i] = offsets[i - 1] + shapes[i][axis];\n    }\n\n    const channel = channels[axis];\n    const lastChannels = channels.slice(-2);\n    const allChannels = channels.join();\n\n    let getValueSnippet = `if (${channel} < ${offsets[0]}) {\n        return getChannel(\n            getT0(${allChannels}), vec2(${lastChannels.join()}));\n        }`;\n    for (let i = 1; i < offsets.length; i++) {\n      const shift = offsets[i - 1];\n      // Note: the >= comparison below may seem unnecessary given the check\n      // above but is needed to workaround branch execution issues on some\n      // devices. It makes all the conditions exclusive without relying on\n      // execution order.\n      getValueSnippet += `\n        if (${channel} < ${offsets[i]}  && ${channel} >= ${offsets[i - 1]}) {\n          return getChannel(\n            getT${i}(${shiftedChannels(channels, channel, shift)}),\n            vec2(${shiftedChannels(lastChannels, channel, shift)}));\n        }`;\n    }\n    const lastIndex = offsets.length;\n    const shift = offsets[offsets.length - 1];\n    getValueSnippet += `\n        return getChannel(\n          getT${lastIndex}(${shiftedChannels(channels, channel, shift)}),\n          vec2(${shiftedChannels(lastChannels, channel, shift)}));`;\n\n    this.userCode = `\n      float getValue(${channels.map(x => 'int ' + x)}) {\n        ${getValueSnippet}\n      }\n\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        vec4 result = vec4(getValue(${coords}), 0., 0., 0.);\n\n        ${coords[rank - 1]} = ${coords[rank - 1]} + 1;\n        if (${coords[rank - 1]} < ${shape[rank - 1]}) {\n          result.g = getValue(${coords});\n        }\n\n        ${coords[rank - 2]} = ${coords[rank - 2]} + 1;\n        if (${coords[rank - 2]} < ${shape[rank - 2]}) {\n          result.a = getValue(${coords});\n        }\n\n        ${coords[rank - 1]} = ${coords[rank - 1]} - 1;\n        if (${coords[rank - 2]} < ${shape[rank - 2]} &&\n            ${coords[rank - 1]} < ${shape[rank - 1]}) {\n          result.b = getValue(${coords});\n        }\n        setOutput(result);\n      }\n    `;\n  }\n}\n\n/**\n * Return an expression for coordinates into a vector where a given channel\n * will be offset by [shift].\n *\n * @param channels the channels to consider\n * @param channel the channel we want shifted\n * @param shift  the amount to subtract from the channel.\n *\n * @returns a string of the form 'x, y-[shift], z' where any one channel can\n * have the shift applied.\n */\nfunction shiftedChannels(channels: string[], channel: string, shift: number) {\n  const channelIdx = channels.indexOf(channel);\n  const res = channels.map((c, idx) => {\n    if (idx === channelIdx) {\n      return `${c} - ${shift}`;\n    } else {\n      return c;\n    }\n  });\n  return res.join();\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Conv2DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n            int xR = wR + yR * ${strideHeight} - ${padTop};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n              int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              if (${isChannelsLast}) {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv2DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n\n    const rowDim = isChannelsLast ? 1 : 2;\n    const colDim = isChannelsLast ? 2 : 3;\n    const channelDim = isChannelsLast ? 3 : 1;\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[${channelDim}];\n\n        ivec2 dyCorner = ivec2(coords[${rowDim}], coords[${colDim}]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ${filterHeight} - 1 - wR;\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ${filterWidth} - 1 - wC;\n\n            for (int d2 = 0; d2 < ${convInfo.outChannels}; d2++) {\n\n              if (${isChannelsLast}) {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv3DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    this.userCode = `\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yF = 0; yF < ${convInfo.outDepth}; yF++) {\n            int xF = wF + yF * ${strideDepth} - ${padFront};\n\n            if (xF < 0 || xF >= ${convInfo.inDepth}) {\n              continue;\n            }\n\n            for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n              int xR = wR + yR * ${strideHeight} - ${padTop};\n\n              if (xR < 0 || xR >= ${convInfo.inHeight}) {\n                continue;\n              }\n\n              for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n                int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n                if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv3DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n\n    const padFront = filterDepth - 1 - convInfo.padInfo.front;\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ${filterDepth}; wF++) {\n          float dyF = float(dyFCorner + wF) / ${strideDepth}.0;\n\n          if (dyF < 0.0 || dyF >= ${convInfo.outDepth}.0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = ${filterDepth} - 1 - wF;\n\n          for (int wR = 0; wR < ${filterHeight}; wR++) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = ${filterHeight} - 1 - wR;\n\n            for (int wC = 0; wC < ${filterWidth}; wC++) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = ${filterWidth} - 1 - wC;\n\n              for (int d2 = 0; d2 < ${convInfo.outChannels}; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConv2DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * ${channelMul} + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n            int xR = wR + yR * ${strideHeight} - ${padTop};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n              int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class DepthwiseConv2DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ${filterHeight} - 1 - wR;\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ${filterWidth} - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < ${channelMul}; dm++) {\n              int d2 = d1 * ${channelMul} + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Conv2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivationWeights = false) {\n    this.outputShape = convInfo.outShape;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const inputDepthNearestVec4 = Math.floor(convInfo.inChannels / 4) * 4;\n    const inputDepthVec4Remainder = convInfo.inChannels % 4;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const rowDim = isChannelsLast ? 1 : 2;\n    const colDim = isChannelsLast ? 2 : 3;\n    const channelDim = isChannelsLast ? 3 : 1;\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivationWeights) {\n        activationSnippet = `float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `\n          float activation(float x) {\n            ${activation}\n          }\n        `;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivationWeights) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[${channelDim}];\n\n        ivec2 xRCCorner =\n            ivec2(coords[${rowDim}], coords[${colDim}]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          int xR = xRCorner + wR * ${dilationHeight};\n\n          if (xR < 0 || xR >= ${convInfo.inHeight}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            if (xC < 0 || xC >= ${convInfo.inWidth}) {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < ${inputDepthNearestVec4}; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if (${inputDepthVec4Remainder === 1}) {\n\n              if (${isChannelsLast}) {\n                dotProd +=\n                    getX(batch, xR, xC, ${inputDepthNearestVec4}) *\n                    getW(wR, wC, ${inputDepthNearestVec4}, d2);\n              } else {\n                dotProd +=\n                    getX(batch, ${inputDepthNearestVec4}, xR, xC) *\n                    getW(wR, wC, ${inputDepthNearestVec4}, d2);\n              }\n\n            } else if (${inputDepthVec4Remainder === 2}) {\n              vec2 wValues = vec2(\n                getW(wR, wC, ${inputDepthNearestVec4}, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 1, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, ${inputDepthNearestVec4}, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if (${inputDepthVec4Remainder === 3}) {\n              vec3 wValues = vec3(\n                getW(wR, wC, ${inputDepthNearestVec4}, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 1, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 2, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 1),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, ${inputDepthNearestVec4}, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 1, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n\nexport class Conv3DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.outShape;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const inputDepthNearestVec4 = Math.floor(convInfo.inChannels / 4) * 4;\n    const inputDepthVec4Remainder = convInfo.inChannels % 4;\n\n    this.userCode = `\n      const ivec3 strides = ivec3(${strideDepth}, ${strideHeight}, ${\n        strideWidth});\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ${filterDepth}; wF++) {\n          int xF = xFCorner + wF * ${dilationDepth};\n\n          if (xF < 0 || xF >= ${convInfo.inDepth}) {\n            continue;\n          }\n\n          for (int wR = 0; wR < ${filterHeight}; wR++) {\n            int xR = xRCorner + wR * ${dilationHeight};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${filterWidth}; wC++) {\n              int xC = xCCorner + wC * ${dilationWidth};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < ${inputDepthNearestVec4}; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if (${inputDepthVec4Remainder === 1}) {\n                dotProd +=\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}) *\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2);\n              } else if (${inputDepthVec4Remainder === 2}) {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if (${inputDepthVec4Remainder === 3}) {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 1),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 1, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConv2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivation = false) {\n    this.outputShape = convInfo.outShape;\n\n    const xNumRows = convInfo.inHeight;\n    const xNumCols = convInfo.inWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `\n          float activation(float x) {\n            ${activation}\n          }\n        `;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ${channelMul};\n        int q = d2 - d1 * ${channelMul};\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          int xR = xRCorner + wR * ${dilationHeight};\n\n          if (xR < 0 || xR >= ${xNumRows}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            if (xC < 0 || xC >= ${xNumCols}) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport * as util from '../../util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConvPacked2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivation = false) {\n    this.outputShape = convInfo.outShape;\n\n    const xNumRows = convInfo.inHeight;\n    const xNumCols = convInfo.inWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const texelsAcross = filterWidth;\n\n    let mainLoop = `int xR; int xC; int xCOffset;`;\n\n    for (let r = 0; r < filterHeight; r++) {\n      for (let c = 0; c < filterWidth; c++) {\n        mainLoop += `\n          vec4 xTexelR${r}C${c * 2} = vec4(0.);\n          vec4 wR${r}C${c} = vec4(0.);\n          vec4 xR${r}C${c} = vec4(0.);`;\n      }\n    }\n\n    /**\n     * This vectorized implementation works by gathering the values needed for\n     * each output channel's dot product into vec4's and then multiplying them\n     * all together (this happens in the final double for-loop below). Most of\n     * the main loop consists of constructing these vec4's with the minimum\n     * number of texture2D calls, which means making use of all four returned\n     * values from a texture2D call at once.\n     */\n    for (let r = 0; r < filterHeight; r++) {\n      for (let texelC = 0; texelC < texelsAcross; texelC++) {\n        const c = texelC * 2;\n\n        mainLoop += `\n          xR = xRCorner + ${r * dilationHeight};\n          xC = xCCorner + ${c * dilationWidth};\n        `;\n\n        if (strideWidth === 1) {\n          if (c < filterWidth) {\n            // If padding is odd, the outer texels have to be composed.\n            if (padLeft % 2 === 1) {\n              // TODO: Ensure vec4 previous does not result in redundant sample,\n              // and avoid setting xTexelRC's that exceed the boundary in the\n              // first place rather than resetting them to vec4(0)).\n\n              // To compute xCOffset:\n              // - If padding is odd, we must add 1 to ensure we ask for an\n              // even-numbered row.\n              // - We subtract 2 to access the previous texel.\n\n              mainLoop += `\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < ${xNumRows} && xCOffset >= 0 && xCOffset < ${\n                  xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < ${xNumRows} && xCOffset >= 0 && xCOffset < ${\n                  xNumCols}) {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n                  xR${r}C${c} = vec4(previous.zw, xTexelR${r}C${c}.xy);\n                } else {\n                  xR${r}C${c} = vec4(0, 0, xTexelR${r}C${c}.xy);\n                }\n              `;\n            } else {\n              // Padding is even, so xRC corresponds to a single texel.\n              mainLoop += `\n                if(xR >= 0 && xR < ${xNumRows} && xC >= 0 && xC < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xR${r}C${c} = xTexelR${r}C${c};\n              `;\n            }\n\n            if (c + 1 < filterWidth) {\n              // If dilation is even, the second entry should match the first\n              // (either both are composed or both are single samples). But if\n              // dilation is odd, then the second entry should be the opposite\n              // of the first (if the first is composed, the second is a single\n              // sample, and vice versa.)\n\n              const nextTexelOffset = padLeft % 2 === 0 ?\n                  util.nearestLargerEven(dilationWidth) :\n                  dilationWidth;\n\n              if ((dilationWidth % 2 === 0 && padLeft % 2 === 1) ||\n                  (dilationWidth % 2 !== 0 && padLeft % 2 !== 1)) {\n                mainLoop += `\n                  xCOffset = xC + ${padLeft % 2} + ${nextTexelOffset};\n\n                  if(xR >= 0 && xR < ${xNumRows} &&\n                    xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                  }\n                `;\n\n                // If dilation > 1 then the xRC's will not be able to share any\n                // values, so each xRC will require two unique calls to getX.\n                if (dilationWidth > 1) {\n                  mainLoop += `\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < ${xNumRows} &&\n                      xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                      xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR${r}C${c} = vec4(0.);\n                    }\n                  `;\n                }\n\n                mainLoop += `\n                  xR${r}C${c + 1} = vec4(\n                    xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.xy);\n                `;\n              } else {\n                mainLoop += `\n                  xCOffset = xC + ${nextTexelOffset};\n\n                  if(xR >= 0 && xR < ${xNumRows} &&\n                    xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR${r}C${c + 1} = xTexelR${r}C${c + 2};\n                `;\n              }\n            }\n          }\n        } else {  // stride > 1\n          if (c < filterWidth) {\n            mainLoop += `\n              if(xR >= 0 && xR < ${xNumRows}) {\n            `;\n\n            // Depending on whether padLeft is even or odd, we want either the\n            // xy or zw channels from X texels for xR${r}C${c}. If padLeft is\n            // even, xR${r}C${c + 1} is simply the zw channels of texels we've\n            // already sampled. But if padLeft is odd, xR${r}C{$c + 1}.zw will\n            // need to come from the xy channels of a new texel, hence the `vec4\n            // final` initialized below.\n            if (padLeft % 2 === 1) {\n              mainLoop += `\n                xCOffset = xC + 1 - ${strideWidth};\n                if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < ${xNumCols}) {\n                  xTexelR${r}C${c + 2} = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR${r}C${c + 2} = vec4(0.);\n                }\n\n                xR${r}C${c} = vec4(\n                  xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.zw);\n              `;\n\n              if (c + 1 < filterWidth) {\n                mainLoop += `\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + ${strideWidth};\n                  if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR${r}C${c + 1} = vec4(xTexelR${r}C${c + 2}.xy, final.xy);\n                `;\n              }\n            } else {\n              mainLoop += `\n                if(xC >= 0 && xC < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xCOffset = xC + ${strideWidth};\n                if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                  xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c + 2} = vec4(0.);\n                }\n\n                xR${r}C${c} = vec4(\n                  xTexelR${r}C${c}.xy, xTexelR${r}C${c + 2}.xy);\n              `;\n\n              if (c + 1 < filterWidth) {\n                mainLoop += `\n                  xR${r}C${c + 1} = vec4(\n                    xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.zw);\n                `;\n              }\n            }\n\n            mainLoop += `}`;\n          }\n        }\n\n        if (c < filterWidth) {\n          mainLoop += `\n            vec4 wTexelR${r}C${c} = getW(${r}, ${c}, d1, q);\n            wR${r}C${c} = vec4(wTexelR${r}C${c}.xz, wTexelR${r}C${c}.xz);\n          `;\n\n          if (c + 1 < filterWidth) {\n            mainLoop += `\n              vec4 wTexelR${r}C${c + 1} = getW(${r}, ${c + 1}, d1, q);\n              wR${r}C${c + 1} =\n                vec4(wTexelR${r}C${c + 1}.xz, wTexelR${r}C${c + 1}.xz);`;\n          }\n        }\n      }\n    }\n\n    for (let r = 0; r < filterHeight; r++) {\n      for (let c = 0; c < filterWidth; c++) {\n        mainLoop += `dotProd += xR${r}C${c} * wR${r}C${c};`;\n      }\n    }\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `vec4 activation(vec4 x) {\n          ${activation}\n        }`;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        ${mainLoop}\n\n        vec4 result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class CropAndResizeProgram implements GPGPUProgram {\n  variableNames = ['Image', 'Boxes', 'BoxInd'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      imageShape: [number, number, number, number], boxShape: [number, number],\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number) {\n    const [batch, imageHeight, imageWidth, depth] = imageShape;\n    const [numBoxes, ] = boxShape;\n    const [cropHeight, cropWidth] = cropSize;\n    this.outputShape = [numBoxes, cropHeight, cropWidth, depth];\n    const methodId = method === 'bilinear' ? 1 : 0;\n\n    const [inputHeightFloat, inputWidthFloat] =\n        [`${imageHeight - 1}.0`, `${imageWidth - 1}.0`];\n\n    const [heightRatio, heightScale, inY] = cropHeight > 1 ?\n        [\n          `${(imageHeight - 1) / (cropHeight - 1)}`,\n          '(y2-y1) * height_ratio',\n          `y1*${inputHeightFloat} + float(y)*(height_scale)`,\n        ] :\n        [\n          '0.0',\n          '0.0',\n          `0.5 * (y1+y2) * ${inputHeightFloat}`,\n        ];\n    const [widthRatio, widthScale, inX] = cropWidth > 1 ?\n        [\n          `${(imageWidth - 1) / (cropWidth - 1)}`,\n          '(x2-x1) * width_ratio',\n          `x1*${inputWidthFloat} + float(x)*(width_scale)`,\n        ] :\n        [\n          '0.0',\n          '0.0',\n          `0.5 * (x1+x2) * ${inputWidthFloat}`,\n        ];\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/crop_and_resize_op_gpu.cu.cc\n    this.userCode = `\n      const float height_ratio = float(${heightRatio});\n      const float width_ratio = float(${widthRatio});\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= ${batch}) {\n          return;\n        }\n\n        float height_scale = ${heightScale};\n        float width_scale = ${widthScale};\n\n        float in_y = ${inY};\n        if( in_y < 0.0 || in_y > ${inputHeightFloat} ) {\n          setOutput(float(${extrapolationValue}));\n          return;\n        }\n        float in_x = ${inX};\n        if( in_x < 0.0 || in_x > ${inputWidthFloat} ) {\n          setOutput(float(${extrapolationValue}));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if(${methodId} == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class CumSumProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(shape: number[], exclusive: boolean, reverse: boolean) {\n    this.outputShape = shape;\n    const rank = shape.length;\n    const finalDim = shape[shape.length - 1];\n    const comparator = reverse ? '<' : '>';\n\n    this.userCode = `\n      int getIndex(int i) {\n        ${reverse ? `return ${finalDim} -i - 1;` : 'return i;'}\n      }\n\n      void main() {\n        ${getCoordsDataType(rank)} coords = getOutputCoords();\n        int end = ${getFinalCoord(rank, 'coords')};\n        float val = 0.0;\n        for (int i = ${finalDim} - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx ${comparator} end) {\n            continue;\n          }\n          if (idx == end && ${exclusive}) {\n            continue;\n          }\n          ${getFinalCoord(rank, 'coords')} = idx;\n          val += getX(${getCoords(rank, 'coords')});\n        }\n        setOutput(val);\n      }\n    `;\n  }\n}\n\nfunction getCoords(rank: number, name: string): string {\n  if (rank === 1) {\n    return `${name}`;\n  } else if (rank === 2) {\n    return `${name}.x, ${name}.y`;\n  } else if (rank === 3) {\n    return `${name}.x, ${name}.y, ${name}.z`;\n  } else if (rank === 4) {\n    return `${name}.x, ${name}.y, ${name}.z, ${name}.w`;\n  } else {\n    throw Error(`Cumulative sum for rank ${rank} is not yet supported`);\n  }\n}\n\nfunction getFinalCoord(rank: number, name: string): string {\n  if (rank === 1) {\n    return `${name}`;\n  } else if (rank === 2) {\n    return `${name}.y`;\n  } else if (rank === 3) {\n    return `${name}.z`;\n  } else if (rank === 4) {\n    return `${name}.w`;\n  } else {\n    throw Error(`Cumulative sum for rank ${rank} is not yet supported`);\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\nimport {getDenseTexShape, PackingScheme} from './tex_util';\n\nexport class DecodeMatrixProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: [number, number, number];\n  packedInputs = false;\n  packedOutput = true;\n  outPackingScheme = PackingScheme.DENSE;\n\n  constructor(outputShape: [number, number, number]) {\n    const texShape = getDenseTexShape(outputShape);\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n\n    this.userCode = `\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ${\n        shader_util.getLogicalCoordinatesFromFlatIndex(\n            ['r', 'c', 'd'], outputShape)}\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(${texShape[0]}, ${texShape[1]}));\n        int index = 4 * (resTexRC.x * ${texShape[1]} + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\nimport {getDenseTexShape, PackingScheme} from './tex_util';\n\nexport class DecodeMatrixPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: [number, number, number];\n  outPackingScheme = PackingScheme.DENSE;\n\n  constructor(outputShape: [number, number, number]) {\n    const texShape = getDenseTexShape(outputShape);\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n\n    this.userCode = `\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ${\n        shader_util.getLogicalCoordinatesFromFlatIndex(\n            ['r', 'c', 'd'], outputShape)}\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(${texShape[0]}, ${texShape[1]}));\n        int index = 4 * (resTexRC.x * ${texShape[1]} + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthToSpaceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n  blockSize: number;\n  dataFormat: string;\n\n  constructor(\n      outputShape: number[], blockSize: number, dataFormat: 'NHWC'|'NCHW') {\n    this.outputShape = outputShape;\n    this.blockSize = blockSize;\n    this.dataFormat = dataFormat;\n    this.userCode = `\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ${this.getHeightCoordString()};\n      int w = ${this.getWidthCoordString()};\n      int d = ${this.getDepthCoordString()};\n\n      int in_h = h / ${blockSize};\n      int offset_h = imod(h, ${blockSize});\n      int in_w = w / ${blockSize};\n      int offset_w = imod(w, ${blockSize});\n      int offset_d = (offset_h * ${blockSize} + offset_w) *\n        ${this.getOutputDepthSize()};\n      int in_d = d + offset_d;\n\n      float result = ${this.getInputSamplingString()};\n      setOutput(result);\n    }\n  `;\n  }\n\n  private getHeightCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[1]`;\n    } else {\n      return `coords[2]`;\n    }\n  }\n\n  private getWidthCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[2]`;\n    } else {\n      return `coords[3]`;\n    }\n  }\n\n  private getDepthCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[3]`;\n    } else {\n      return `coords[1]`;\n    }\n  }\n\n  private getOutputDepthSize(): number {\n    if (this.dataFormat === 'NHWC') {\n      return this.outputShape[3];\n    } else {\n      return this.outputShape[1];\n    }\n  }\n\n  private getInputSamplingString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `getX(b, in_h, in_w, in_d)`;\n    } else {\n      return `getX(b, in_d, in_h, in_w)`;\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DiagProgram implements GPGPUProgram {\n  variableNames = ['X'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(size: number) {\n    this.outputShape = [size, size];\n    this.userCode = `\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {ENCODE_FLOAT_SNIPPET} from './shader_compiler_util';\nimport {TextureUsage} from './tex_util';\n\nexport class EncodeFloatProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  outTexUsage = TextureUsage.DOWNLOAD;\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n    this.userCode = `\n      ${ENCODE_FLOAT_SNIPPET}\n\n      void main() {\n        float x = getAAtOutCoords();\n        ${glsl.output} = encode_float(x);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {ENCODE_FLOAT_SNIPPET} from './shader_compiler_util';\nimport {TextureUsage} from './tex_util';\n\nexport class EncodeFloatPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = true;\n  packedOutput = false;\n  outTexUsage = TextureUsage.DOWNLOAD;\n\n  constructor(outputShape: [number, number, number]) {\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n    this.userCode = `\n      ${ENCODE_FLOAT_SNIPPET}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        ${glsl.output} = encode_float(x);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\nexport class EncodeMatrixProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(\n      outputShape: [number, number, number], texShape: [number, number],\n      inputIsUnsignedByte = false) {\n    const glsl = getGlslDifferences();\n    const [height, width] = texShape;\n    this.outputShape = outputShape;\n\n    let output = `result`;\n    if (inputIsUnsignedByte) {\n      output = `floor(result * 255. + 0.5)`;\n    }\n\n    this.userCode = `\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / ${width};\n        int c = imod(flatIndex, ${width});\n        vec2 uv = (vec2(c, r) + halfCR) / vec2(${width}.0, ${height}.0);\n        vec4 values = ${glsl.texture2D}(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        ${glsl.output} = vec4(${output}, 0., 0., 0.);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\n/*\nThis is how the shader encodes a tensor with shape = [2, 3, 5]\n(indices are [batch, row, col]).\n\n000|001   002|003   004|xxx   020|021   022|023   024|xxx\n-------   -------   -------   -------   -------   -------\n010|011   012|013   014|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n\n100|101   102|103   104|xxx   120|121   122|123   124|xxx\n-------   -------   -------   -------   -------   -------\n110|111   112|113   114|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n\nSingle texels contain only values from the same batch, and from adjacent rows\nand columns.\n */\n\nexport class EncodeMatrixPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(\n      outputShape: [number, number, number], texShape: [number, number],\n      inputIsUnsignedByte = false) {\n    const glsl = getGlslDifferences();\n    const [height, width] = texShape;\n    this.outputShape = outputShape;\n\n    let mainLoop = '';\n    let output = 'result';\n    if (inputIsUnsignedByte) {\n      output = 'floor(result * 255. + 0.5)';\n    }\n\n    for (let row = 0; row <= 1; row++) {\n      for (let col = 0; col <= 1; col++) {\n        const channel = row * 2 + col;\n\n        mainLoop += `\n          localCoords = coords;\n          if(localCoords[2] + ${col} < ${outputShape[2]}) {\n            localCoords[2] += ${col};\n            if(localCoords[1] + ${row} < ${outputShape[1]}) {\n              localCoords[1] += ${row};\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / ${width};\n              c = imod(flatIndex, ${width});\n              uv = (vec2(c, r) + halfCR) / vec2(${width}.0, ${height}.0);\n              values = ${glsl.texture2D}(A, uv);\n\n              if(offset == 0) {\n                result[${channel}] = values[0];\n              } else if(offset == 1) {\n                result[${channel}] = values[1];\n              } else if(offset == 2) {\n                result[${channel}] = values[2];\n              } else {\n                result[${channel}] = values[3];\n              }\n            }\n          }\n        `;\n      }\n    }\n\n    this.userCode = `\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        ${mainLoop}\n\n        ${glsl.output} = ${output};\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport const COMPLEX_FFT = {\n  REAL: 'return real * expR - imag * expI;',\n  IMAG: 'return real * expI + imag * expR;'\n};\n\nexport class FFTProgram implements GPGPUProgram {\n  variableNames = ['real', 'imag'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(op: string, inputShape: [number, number], inverse: boolean) {\n    const innerDim = inputShape[1];\n    this.outputShape = inputShape;\n\n    const exponentMultiplierSnippet =\n        inverse ? `2.0 * ${Math.PI}` : `-2.0 * ${Math.PI}`;\n    const resultDenominator = inverse ? `${innerDim}.0` : '1.0';\n\n    this.userCode = `\n      const float exponentMultiplier = ${exponentMultiplierSnippet};\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        ${op}\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float(${innerDim});\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < ${innerDim}; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / ${resultDenominator};\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class FillProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  valueLoc: WebGLUniformLocation;\n\n  constructor(shape: number[], value: number) {\n    this.variableNames = ['x'];\n    this.outputShape = shape;\n\n    this.userCode = `\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    `;\n  }\n\n  getCustomSetupFunc(value: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.valueLoc == null) {\n        this.valueLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'value');\n      }\n      gpgpu.gl.uniform1f(this.valueLoc, value);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class GatherProgram implements GPGPUProgram {\n  variableNames = ['A', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], indicesLength: number, axis: number) {\n    const outputShape: number[] = aShape.slice();\n    outputShape[axis] = indicesLength;\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const sourceCoords = getSourceCoords(aShape, axis);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        setOutput(getA(${sourceCoords}));\n      }\n    `;\n  }\n}\n\nfunction getSourceCoords(aShape: number[], axis: number): string {\n  const rank = aShape.length;\n  if (rank > 4) {\n    throw Error(`Gather for rank ${rank} is not yet supported`);\n  }\n  if (rank === 1) {\n    return `int(getIndices(resRC))`;\n  }\n\n  const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w'];\n\n  const sourceCoords = [];\n  for (let i = 0; i < aShape.length; i++) {\n    if (i === axis) {\n      sourceCoords.push(`int(getIndices(${currentCoords[i]}))`);\n    } else {\n      sourceCoords.push(`${currentCoords[i]}`);\n    }\n  }\n  return sourceCoords.join();\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class GatherNDProgram implements GPGPUProgram {\n  variableNames = ['x', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  constructor(\n      private sliceDim: number, private strides: number[], shape: number[]) {\n    this.outputShape = shape;\n    const stridesType = getCoordsDataType(strides.length);\n    const dtype = getCoordsDataType(shape.length);\n    const strideString = this.sliceDim > 1 ? 'strides[j]' : 'strides';\n    this.userCode = `\n        ${stridesType} strides = ${stridesType}(${this.strides});\n         void main() {\n          ${dtype} coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < ${this.sliceDim}; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * ${strideString};\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {PixelData, TypedArray} from '../../types';\n\nimport {getGlslDifferences} from './glsl_version';\nimport * as tex_util from './tex_util';\nimport {TextureConfig} from './tex_util';\nimport * as webgl_util from './webgl_util';\n\nexport function createVertexShader(\n    gl: WebGLRenderingContext, debug: boolean): WebGLShader {\n  const glsl = getGlslDifferences();\n  const vertexShaderSource = `${glsl.version}\n    precision highp float;\n    ${glsl.attribute} vec3 clipSpacePos;\n    ${glsl.attribute} vec2 uv;\n    ${glsl.varyingVs} vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }`;\n  return webgl_util.createVertexShader(gl, debug, vertexShaderSource);\n}\n\nexport function createVertexBuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLBuffer {\n  // [x y z u v] * [upper-left, lower-left, upper-right, lower-right]\n  const vertexArray = new Float32Array(\n      [-1, 1, 0, 0, 1, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 1, -1, 0, 1, 0]);\n  return webgl_util.createStaticVertexBuffer(gl, debug, vertexArray);\n}\n\nexport function createIndexBuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLBuffer {\n  // OpenGL (and WebGL) have \"CCW == front\" winding\n  const triangleVertexIndices = new Uint16Array([0, 1, 2, 2, 1, 3]);\n  return webgl_util.createStaticIndexBuffer(gl, debug, triangleVertexIndices);\n}\n\nfunction createAndConfigureTexture(\n    gl: WebGLRenderingContext, debug: boolean, width: number, height: number,\n    internalFormat: number, textureFormat: number,\n    textureType: number): WebGLTexture {\n  webgl_util.validateTextureSize(width, height);\n  const texture = webgl_util.createTexture(gl, debug);\n\n  const tex2d = gl.TEXTURE_2D;\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(tex2d, texture));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_MIN_FILTER, gl.NEAREST));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_MAG_FILTER, gl.NEAREST));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texImage2D(\n          tex2d, 0, internalFormat, width, height, 0, textureFormat,\n          textureType, null));\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n  return texture;\n}\n\nexport function createFloat32MatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatFloat,\n      textureConfig.textureFormatFloat, gl.FLOAT);\n}\n\nexport function createFloat16MatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatHalfFloat,\n      textureConfig.textureFormatFloat, textureConfig.textureTypeHalfFloat);\n}\n\nexport function createUnsignedBytesMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE);\n}\n\nexport function createPackedMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatPackedFloat,\n      gl.RGBA, gl.FLOAT);\n}\n\nexport function createFloat16PackedMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatPackedHalfFloat,\n      gl.RGBA, textureConfig.textureTypeHalfFloat);\n}\n\nexport function bindVertexProgramAttributeStreams(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    vertexBuffer: WebGLBuffer): boolean {\n  const posOffset = 0;               // x is the first buffer element\n  const uvOffset = 3 * 4;            // uv comes after [x y z]\n  const stride = (3 * 4) + (2 * 4);  // xyz + uv, each entry is 4-byte float.\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer));\n  const success = webgl_util.bindVertexBufferToProgramAttribute(\n      gl, debug, program, 'clipSpacePos', vertexBuffer, 3, stride, posOffset);\n  return success &&\n      webgl_util.bindVertexBufferToProgramAttribute(\n          gl, debug, program, 'uv', vertexBuffer, 2, stride, uvOffset);\n}\n\nexport function uploadDenseMatrixToTexture(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    width: number, height: number, data: TypedArray,\n    textureConfig: TextureConfig) {\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n\n  let dataForUpload: TypedArray, texelDataType: number, internalFormat: number;\n  if (data instanceof Uint8Array) {\n    dataForUpload = new Uint8Array(width * height * 4);\n    texelDataType = gl.UNSIGNED_BYTE;\n    internalFormat = gl.RGBA;\n  } else {\n    dataForUpload = new Float32Array(width * height * 4);\n    texelDataType = gl.FLOAT;\n    internalFormat = textureConfig.internalFormatPackedFloat;\n  }\n\n  dataForUpload.set(data);\n\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texImage2D(\n          gl.TEXTURE_2D, 0, internalFormat, width, height, 0, gl.RGBA,\n          texelDataType, dataForUpload));\n\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function uploadPixelDataToTexture(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n    HTMLVideoElement) {\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n  if ((pixels as PixelData).data instanceof Uint8Array) {\n    webgl_util.callAndCheck(\n        gl, debug,\n        () => gl.texImage2D(\n            gl.TEXTURE_2D, 0, gl.RGBA, pixels.width, pixels.height, 0, gl.RGBA,\n            gl.UNSIGNED_BYTE, (pixels as PixelData).data));\n  } else {\n    webgl_util.callAndCheck(\n        gl, debug,\n        () => gl.texImage2D(\n            gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE,\n            pixels as ImageData | HTMLImageElement | HTMLCanvasElement |\n                HTMLVideoElement));\n  }\n\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function createBufferFromOutputTexture(\n    gl2: WebGL2RenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLBuffer {\n  // Create and bind the buffer.\n  const buffer = gl2.createBuffer();\n  webgl_util.callAndCheck(\n      gl2, debug, () => gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer));\n\n  // Initialize the buffer to the size of the texture in bytes.\n  const bytesPerFloat = 4;\n  const valuesPerTexel = 4;\n  const bufferSizeBytes = bytesPerFloat * valuesPerTexel * rows * columns;\n\n  webgl_util.callAndCheck(\n      gl2, debug,\n      () => gl2.bufferData(\n          gl2.PIXEL_PACK_BUFFER, bufferSizeBytes, gl2.STREAM_READ));\n\n  // Enqueue a command on the GPU command queue to copy of texture into the\n  // buffer.\n  webgl_util.callAndCheck(\n      gl2, debug,\n      () => gl2.readPixels(0, 0, columns, rows, gl2.RGBA, gl2.FLOAT, 0));\n\n  webgl_util.callAndCheck(\n      gl2, debug, () => gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null));\n\n  return buffer;\n}\n\nexport function downloadFloat32MatrixFromBuffer(\n    gl: WebGLRenderingContext, buffer: WebGLBuffer,\n    size: number): Float32Array {\n  const gl2 = gl as WebGL2RenderingContext;\n\n  const downloadTarget = new Float32Array(size);\n\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);\n  gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, downloadTarget);\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);\n\n  return downloadTarget;\n}\n\nexport function downloadByteEncodedFloatMatrixFromOutputTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig) {\n  const [w, h] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n\n  const numChannels = 4;\n  const downloadTarget = new Uint8Array(\n      tex_util.getUnpackedArraySizeFromMatrixSize(rows * columns, numChannels));\n\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.readPixels(\n          0, 0, w, h, textureConfig.downloadTextureFormat, gl.UNSIGNED_BYTE,\n          downloadTarget));\n\n  // By wrapping the buffer in a Float32Array, we use native browser IEEE 754\n  // decoding of the 4 bytes that back each 32 bit float.\n  return new Float32Array(downloadTarget.buffer);\n}\n\nexport function downloadPackedMatrixFromBuffer(\n    gl: WebGLRenderingContext, buffer: WebGLBuffer, batch: number, rows: number,\n    cols: number, physicalRows: number, physicalCols: number,\n    textureConfig: TextureConfig): Float32Array {\n  const gl2 = gl as WebGL2RenderingContext;\n\n  const downloadTarget =\n      new Float32Array(tex_util.getPackedRGBAArraySizeFromMatrixShape(\n          physicalRows, physicalCols));\n\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);\n  gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, downloadTarget);\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);\n\n  return downloadTarget;\n}\n\nexport function downloadMatrixFromPackedOutputTexture(\n    gl: WebGLRenderingContext, debug: boolean, physicalRows: number,\n    physicalCols: number): Float32Array {\n  const packedRGBA = new Float32Array(physicalRows * physicalCols * 4);\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.readPixels(\n          0, 0, physicalCols, physicalRows, gl.RGBA, gl.FLOAT, packedRGBA));\n\n  return packedRGBA;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {PixelData, TypedArray} from '../../types';\nimport * as util from '../../util';\n\nimport {getWebGLContext, setWebGLContext} from './canvas_util';\nimport * as gpgpu_util from './gpgpu_util';\nimport * as tex_util from './tex_util';\nimport {TextureConfig} from './tex_util';\nimport {WebGL1DisjointQueryTimerExtension, WebGL2DisjointQueryTimerExtension} from './webgl_types';\nimport * as webgl_util from './webgl_util';\n\nexport interface FenceContext {\n  query: WebGLQuery|WebGLSync;\n  isFencePassed(): boolean;\n}\n\nexport class GPGPUContext {\n  gl: WebGLRenderingContext;\n  textureFloatExtension: {};\n  textureHalfFloatExtension: {};\n  colorBufferFloatExtension: {};\n  colorBufferHalfFloatExtension: {};\n  disjointQueryTimerExtension: WebGL2DisjointQueryTimerExtension|\n      WebGL1DisjointQueryTimerExtension;\n  vertexBuffer: WebGLBuffer;\n  indexBuffer: WebGLBuffer;\n  framebuffer: WebGLFramebuffer;\n  outputTexture: WebGLTexture|null = null;\n  program: WebGLProgram|null = null;\n  private disposed = false;\n  private disjoint: boolean;\n  private textureConfig: TextureConfig;\n\n  constructor(gl?: WebGLRenderingContext) {\n    const glVersion = env().getNumber('WEBGL_VERSION');\n    if (gl != null) {\n      this.gl = gl;\n      setWebGLContext(glVersion, gl);\n    } else {\n      this.gl = getWebGLContext(glVersion);\n    }\n    // WebGL 2.0 enables texture floats without an extension.\n    let COLOR_BUFFER_FLOAT = 'WEBGL_color_buffer_float';\n    const COLOR_BUFFER_HALF_FLOAT = 'EXT_color_buffer_half_float';\n    if (env().getNumber('WEBGL_VERSION') === 1) {\n      const TEXTURE_FLOAT = 'OES_texture_float';\n      const TEXTURE_HALF_FLOAT = 'OES_texture_half_float';\n\n      this.textureFloatExtension =\n          webgl_util.getExtensionOrThrow(this.gl, this.debug, TEXTURE_FLOAT);\n      if (webgl_util.hasExtension(this.gl, TEXTURE_HALF_FLOAT)) {\n        this.textureHalfFloatExtension = webgl_util.getExtensionOrThrow(\n            this.gl, this.debug, TEXTURE_HALF_FLOAT);\n      } else if (env().get('WEBGL_FORCE_F16_TEXTURES')) {\n        throw new Error(\n            'GL context does not support half float textures, yet the ' +\n            'environment flag WEBGL_FORCE_F16_TEXTURES is set to true.');\n      }\n\n      this.colorBufferFloatExtension = this.gl.getExtension(COLOR_BUFFER_FLOAT);\n      if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_HALF_FLOAT)) {\n        this.colorBufferHalfFloatExtension = webgl_util.getExtensionOrThrow(\n            this.gl, this.debug, COLOR_BUFFER_HALF_FLOAT);\n      } else if (env().get('WEBGL_FORCE_F16_TEXTURES')) {\n        throw new Error(\n            'GL context does not support color renderable half floats, yet ' +\n            'the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.');\n      }\n    } else {\n      COLOR_BUFFER_FLOAT = 'EXT_color_buffer_float';\n      if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_FLOAT)) {\n        this.colorBufferFloatExtension =\n            this.gl.getExtension(COLOR_BUFFER_FLOAT);\n      } else if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_HALF_FLOAT)) {\n        this.colorBufferHalfFloatExtension =\n            this.gl.getExtension(COLOR_BUFFER_HALF_FLOAT);\n      } else {\n        throw new Error('GL context does not support color renderable floats');\n      }\n    }\n\n    this.vertexBuffer = gpgpu_util.createVertexBuffer(this.gl, this.debug);\n    this.indexBuffer = gpgpu_util.createIndexBuffer(this.gl, this.debug);\n    this.framebuffer = webgl_util.createFramebuffer(this.gl, this.debug);\n\n    this.textureConfig =\n        tex_util.getTextureConfig(this.gl, this.textureHalfFloatExtension);\n  }\n\n  private get debug(): boolean {\n    return env().getBool('DEBUG');\n  }\n\n  public dispose() {\n    if (this.disposed) {\n      return;\n    }\n    if (this.program != null) {\n      console.warn(\n          'Disposing a GPGPUContext that still has a bound WebGLProgram.' +\n          ' This is probably a resource leak, delete the program with ' +\n          'GPGPUContext.deleteProgram before disposing.');\n    }\n    if (this.outputTexture != null) {\n      console.warn(\n          'Disposing a GPGPUContext that still has a bound output matrix ' +\n          'texture.  This is probably a resource leak, delete the output ' +\n          'matrix texture with GPGPUContext.deleteMatrixTexture before ' +\n          'disposing.');\n    }\n    const gl = this.gl;\n    webgl_util.callAndCheck(gl, this.debug, () => gl.finish());\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.deleteFramebuffer(this.framebuffer));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.deleteBuffer(this.indexBuffer));\n    this.disposed = true;\n  }\n\n  public createFloat32MatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat32MatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createFloat16MatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat16MatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createUnsignedBytesMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createUnsignedBytesMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public uploadPixelDataToTexture(\n      texture: WebGLTexture,\n      pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement) {\n    this.throwIfDisposed();\n    gpgpu_util.uploadPixelDataToTexture(this.gl, this.debug, texture, pixels);\n  }\n\n  public uploadDenseMatrixToTexture(\n      texture: WebGLTexture, width: number, height: number, data: TypedArray) {\n    this.throwIfDisposed();\n    gpgpu_util.uploadDenseMatrixToTexture(\n        this.gl, this.debug, texture, width, height, data, this.textureConfig);\n  }\n\n  public createFloat16PackedMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat16PackedMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createPackedMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createPackedMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public deleteMatrixTexture(texture: WebGLTexture) {\n    this.throwIfDisposed();\n    if (this.outputTexture === texture) {\n      webgl_util.unbindColorTextureFromFramebuffer(\n          this.gl, this.debug, this.framebuffer);\n      this.outputTexture = null;\n    }\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.deleteTexture(texture));\n  }\n\n  public downloadByteEncodedFloatMatrixFromOutputTexture(\n      texture: WebGLTexture, rows: number, columns: number): Float32Array {\n    return this.downloadMatrixDriver(\n        texture,\n        () => gpgpu_util.downloadByteEncodedFloatMatrixFromOutputTexture(\n            this.gl, this.debug, rows, columns, this.textureConfig));\n  }\n\n  public downloadPackedMatrixFromBuffer(\n      buffer: WebGLBuffer, batch: number, rows: number, columns: number,\n      physicalRows: number, physicalCols: number): Float32Array {\n    return gpgpu_util.downloadPackedMatrixFromBuffer(\n        this.gl, buffer, batch, rows, columns, physicalRows, physicalCols,\n        this.textureConfig);\n  }\n\n  public downloadFloat32MatrixFromBuffer(buffer: WebGLBuffer, size: number):\n      Float32Array {\n    return gpgpu_util.downloadFloat32MatrixFromBuffer(this.gl, buffer, size);\n  }\n\n  public createBufferFromTexture(\n      texture: WebGLTexture, rows: number, columns: number): WebGLBuffer {\n    this.bindTextureToFrameBuffer(texture);\n    const result = gpgpu_util.createBufferFromOutputTexture(\n        this.gl as WebGL2RenderingContext, this.debug, rows, columns,\n        this.textureConfig);\n    this.unbindTextureToFrameBuffer();\n    return result;\n  }\n\n  public createAndWaitForFence(): Promise<void> {\n    const fenceContext = this.createFence(this.gl);\n    return this.pollFence(fenceContext);\n  }\n\n  private createFence(gl: WebGLRenderingContext): FenceContext {\n    let query: WebGLQuery|WebGLSync;\n    let isFencePassed: () => boolean;\n\n    if (env().getBool('WEBGL_FENCE_API_ENABLED')) {\n      const gl2 = gl as WebGL2RenderingContext;\n\n      const sync = gl2.fenceSync(gl2.SYNC_GPU_COMMANDS_COMPLETE, 0);\n      gl.flush();\n\n      isFencePassed = () => {\n        const status = gl2.clientWaitSync(sync, 0, 0);\n        return status === gl2.ALREADY_SIGNALED ||\n            status === gl2.CONDITION_SATISFIED;\n      };\n\n      query = sync;\n    } else if (\n        env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0) {\n      query = this.beginQuery();\n      this.endQuery();\n      isFencePassed = () => this.isQueryAvailable(\n          query,\n          env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION'));\n    } else {\n      // If we have no way to fence, return true immediately. This will fire in\n      // WebGL 1.0 when there is no disjoint query timer. In this case, because\n      // the fence passes immediately, we'll immediately ask for a download of\n      // the texture, which will cause the UI thread to hang.\n      isFencePassed = () => true;\n    }\n\n    return {query, isFencePassed};\n  }\n\n  public downloadMatrixFromPackedTexture(\n      texture: WebGLTexture, physicalRows: number,\n      physicalCols: number): Float32Array {\n    return this.downloadMatrixDriver(\n        texture,\n        () => gpgpu_util.downloadMatrixFromPackedOutputTexture(\n            this.gl, this.debug, physicalRows, physicalCols));\n  }\n\n  private vertexAttrsAreBound = false;\n\n  public createProgram(fragmentShaderSource: string): WebGLProgram {\n    this.throwIfDisposed();\n    const gl = this.gl;\n    const fragmentShader: WebGLShader =\n        webgl_util.createFragmentShader(gl, this.debug, fragmentShaderSource);\n    const vertexShader: WebGLShader =\n        gpgpu_util.createVertexShader(gl, this.debug);\n    const program: WebGLProgram = webgl_util.createProgram(\n        gl,\n        this.debug,\n    );\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.attachShader(program, vertexShader));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.attachShader(program, fragmentShader));\n    webgl_util.linkProgram(gl, this.debug, program);\n    if (this.debug) {\n      webgl_util.validateProgram(gl, this.debug, program);\n    }\n    if (!this.vertexAttrsAreBound) {\n      this.setProgram(program);\n      this.vertexAttrsAreBound = gpgpu_util.bindVertexProgramAttributeStreams(\n          gl, this.debug, this.program, this.vertexBuffer);\n    }\n    return program;\n  }\n\n  public deleteProgram(program: WebGLProgram) {\n    this.throwIfDisposed();\n    if (program === this.program) {\n      this.program = null;\n    }\n    if (program != null) {\n      webgl_util.callAndCheck(\n          this.gl, this.debug, () => this.gl.deleteProgram(program));\n    }\n  }\n\n  public setProgram(program: WebGLProgram|null) {\n    this.throwIfDisposed();\n    this.program = program;\n    if ((this.program != null) && this.debug) {\n      webgl_util.validateProgram(this.gl, this.debug, this.program);\n    }\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.useProgram(program));\n  }\n\n  public getUniformLocation(\n      program: WebGLProgram, uniformName: string,\n      shouldThrow = true): WebGLUniformLocation {\n    this.throwIfDisposed();\n    if (shouldThrow) {\n      return webgl_util.getProgramUniformLocationOrThrow(\n          this.gl, this.debug, program, uniformName);\n    } else {\n      return webgl_util.getProgramUniformLocation(\n          this.gl, program, uniformName);\n    }\n  }\n\n  public getAttributeLocation(program: WebGLProgram, attribute: string):\n      number {\n    this.throwIfDisposed();\n    return webgl_util.callAndCheck(\n        this.gl, this.debug,\n        () => this.gl.getAttribLocation(program, attribute));\n  }\n\n  public getUniformLocationNoThrow(program: WebGLProgram, uniformName: string):\n      WebGLUniformLocation {\n    this.throwIfDisposed();\n    return this.gl.getUniformLocation(program, uniformName);\n  }\n\n  public setInputMatrixTexture(\n      inputMatrixTexture: WebGLTexture, uniformLocation: WebGLUniformLocation,\n      textureUnit: number) {\n    this.throwIfDisposed();\n    this.throwIfNoProgram();\n    webgl_util.bindTextureToProgramUniformSampler(\n        this.gl, this.debug, this.program, inputMatrixTexture, uniformLocation,\n        textureUnit);\n  }\n\n  public setOutputMatrixTexture(\n      outputMatrixTexture: WebGLTexture, rows: number, columns: number) {\n    this.setOutputMatrixTextureDriver(outputMatrixTexture, columns, rows);\n  }\n\n  public setOutputPackedMatrixTexture(\n      outputPackedMatrixTexture: WebGLTexture, rows: number, columns: number) {\n    this.throwIfDisposed();\n    const [width, height] =\n        tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n    this.setOutputMatrixTextureDriver(outputPackedMatrixTexture, width, height);\n  }\n\n  public setOutputMatrixWriteRegion(\n      startRow: number, numRows: number, startColumn: number,\n      numColumns: number) {\n    this.setOutputMatrixWriteRegionDriver(\n        startColumn, startRow, numColumns, numRows);\n  }\n\n  public setOutputPackedMatrixWriteRegion(\n      startRow: number, numRows: number, startColumn: number,\n      numColumns: number) {\n    throw new Error('setOutputPackedMatrixWriteRegion not implemented.');\n  }\n\n  public debugValidate() {\n    if (this.program != null) {\n      webgl_util.validateProgram(this.gl, this.debug, this.program);\n    }\n    webgl_util.validateFramebuffer(this.gl);\n  }\n\n  public executeProgram() {\n    this.throwIfDisposed();\n    this.throwIfNoProgram();\n    const gl = this.gl;\n    if (this.debug) {\n      this.debugValidate();\n    }\n    webgl_util.callAndCheck(\n        gl, this.debug,\n        () => gl.drawElements(gl.TRIANGLES, 6, gl.UNSIGNED_SHORT, 0));\n  }\n\n  public blockUntilAllProgramsCompleted() {\n    this.throwIfDisposed();\n    webgl_util.callAndCheck(this.gl, this.debug, () => this.gl.finish());\n  }\n\n  private getQueryTimerExtension(): WebGL1DisjointQueryTimerExtension\n      |WebGL2DisjointQueryTimerExtension {\n    if (this.disjointQueryTimerExtension == null) {\n      this.disjointQueryTimerExtension =\n          webgl_util.getExtensionOrThrow(\n              this.gl, this.debug,\n              env().getNumber(\n                  'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2 ?\n                  'EXT_disjoint_timer_query_webgl2' :\n                  'EXT_disjoint_timer_query') as\n              WebGL1DisjointQueryTimerExtension |\n          WebGL2DisjointQueryTimerExtension;\n    }\n    return this.disjointQueryTimerExtension;\n  }\n\n  private getQueryTimerExtensionWebGL2(): WebGL2DisjointQueryTimerExtension {\n    return this.getQueryTimerExtension();\n  }\n\n  private getQueryTimerExtensionWebGL1(): WebGL1DisjointQueryTimerExtension {\n    return this.getQueryTimerExtension() as WebGL1DisjointQueryTimerExtension;\n  }\n\n  beginQuery(): WebGLQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n\n      const query = gl2.createQuery();\n      gl2.beginQuery(ext.TIME_ELAPSED_EXT, query);\n      return query;\n    }\n    const ext = this.getQueryTimerExtensionWebGL1();\n    const query = ext.createQueryEXT() as WebGLQuery;\n    ext.beginQueryEXT(ext.TIME_ELAPSED_EXT, query);\n    return query;\n  }\n\n  endQuery() {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n      gl2.endQuery(ext.TIME_ELAPSED_EXT);\n      return;\n    }\n    const ext = this.getQueryTimerExtensionWebGL1();\n    ext.endQueryEXT(ext.TIME_ELAPSED_EXT);\n  }\n\n  public async waitForQueryAndGetTime(query: WebGLQuery): Promise<number> {\n    await util.repeatedTry(\n        () => this.disposed ||  // while testing contexts are created / disposed\n                                // in rapid succession, so without this check we\n                                // may poll for the query timer indefinitely\n            this.isQueryAvailable(\n                query,\n                env().getNumber(\n                    'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION')));\n    return this.getQueryTime(\n        query, env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION'));\n  }\n\n  private getQueryTime(query: WebGLQuery, queryTimerVersion: number): number {\n    if (queryTimerVersion === 0) {\n      return null;\n    }\n\n    if (queryTimerVersion === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n\n      const timeElapsedNanos = gl2.getQueryParameter(query, gl2.QUERY_RESULT);\n      // Return milliseconds.\n      return timeElapsedNanos / 1000000;\n    } else {\n      const ext = this.getQueryTimerExtensionWebGL1();\n\n      const timeElapsedNanos =\n          ext.getQueryObjectEXT(query, ext.QUERY_RESULT_EXT);\n      // Return milliseconds.\n      return timeElapsedNanos / 1000000;\n    }\n  }\n\n  private isQueryAvailable(query: WebGLQuery, queryTimerVersion: number):\n      boolean {\n    if (queryTimerVersion === 0) {\n      return true;\n    }\n\n    if (queryTimerVersion === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n\n      const available =\n          gl2.getQueryParameter(query, gl2.QUERY_RESULT_AVAILABLE);\n      if (this.disjoint == null) {\n        this.disjoint = this.gl.getParameter(ext.GPU_DISJOINT_EXT);\n      }\n\n      return available && !this.disjoint;\n    } else {\n      const ext = this.getQueryTimerExtensionWebGL1();\n\n      const available =\n          ext.getQueryObjectEXT(query, ext.QUERY_RESULT_AVAILABLE_EXT);\n      if (this.disjoint == null) {\n        this.disjoint = this.gl.getParameter(ext.GPU_DISJOINT_EXT);\n      }\n\n      return available && !this.disjoint;\n    }\n  }\n\n  pollFence(fenceContext: FenceContext) {\n    return new Promise<void>(resolve => {\n      this.addItemToPoll(() => fenceContext.isFencePassed(), () => resolve());\n    });\n  }\n\n  private itemsToPoll: PollItem[] = [];\n\n  pollItems(): void {\n    // Find the last query that has finished.\n    const index = linearSearchLastTrue(this.itemsToPoll.map(x => x.isDoneFn));\n    for (let i = 0; i <= index; ++i) {\n      const {resolveFn} = this.itemsToPoll[i];\n      resolveFn();\n    }\n    this.itemsToPoll = this.itemsToPoll.slice(index + 1);\n  }\n\n  private addItemToPoll(isDoneFn: () => boolean, resolveFn: () => void) {\n    this.itemsToPoll.push({isDoneFn, resolveFn});\n    if (this.itemsToPoll.length > 1) {\n      // We already have a running loop that polls.\n      return;\n    }\n    // Start a new loop that polls.\n    util.repeatedTry(() => {\n      this.pollItems();\n      // End the loop if no more items to poll.\n      return this.itemsToPoll.length === 0;\n    });\n  }\n\n  private bindTextureToFrameBuffer(texture: WebGLTexture) {\n    this.throwIfDisposed();\n    webgl_util.bindColorTextureToFramebuffer(\n        this.gl, this.debug, texture, this.framebuffer);\n    if (this.debug) {\n      webgl_util.validateFramebuffer(this.gl);\n    }\n  }\n\n  private unbindTextureToFrameBuffer() {\n    if (this.outputTexture != null) {\n      webgl_util.bindColorTextureToFramebuffer(\n          this.gl, this.debug, this.outputTexture, this.framebuffer);\n      if (this.debug) {\n        webgl_util.validateFramebuffer(this.gl);\n      }\n    } else {\n      webgl_util.unbindColorTextureFromFramebuffer(\n          this.gl, this.debug, this.framebuffer);\n    }\n  }\n\n  private downloadMatrixDriver(\n      texture: WebGLTexture,\n      downloadAndDecode: () => Float32Array): Float32Array {\n    this.bindTextureToFrameBuffer(texture);\n    const result = downloadAndDecode();\n    this.unbindTextureToFrameBuffer();\n\n    return result;\n  }\n\n  private setOutputMatrixTextureDriver(\n      outputMatrixTextureMaybePacked: WebGLTexture, width: number,\n      height: number) {\n    this.throwIfDisposed();\n    const gl = this.gl;\n    webgl_util.bindColorTextureToFramebuffer(\n        gl, this.debug, outputMatrixTextureMaybePacked, this.framebuffer);\n    if (this.debug) {\n      webgl_util.validateFramebuffer(gl);\n    }\n    this.outputTexture = outputMatrixTextureMaybePacked;\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.viewport(0, 0, width, height));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.scissor(0, 0, width, height));\n  }\n\n  private setOutputMatrixWriteRegionDriver(\n      x: number, y: number, width: number, height: number) {\n    this.throwIfDisposed();\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.scissor(x, y, width, height));\n  }\n\n  private throwIfDisposed() {\n    if (this.disposed) {\n      throw new Error('Attempted to use disposed GPGPUContext.');\n    }\n  }\n\n  private throwIfNoProgram() {\n    if (this.program == null) {\n      throw new Error('No GPU program is currently set.');\n    }\n  }\n}\n\ntype PollItem = {\n  isDoneFn: () => boolean,\n  resolveFn: () => void\n};\n\n/**\n * Finds the index of the last true element using linear search.\n * Note: We can't do binary search because Chrome expects us to explicitly\n * test all fences before download:\n * https://github.com/tensorflow/tfjs/issues/1145\n */\nexport function linearSearchLastTrue(arr: Array<() => boolean>): number {\n  let i = 0;\n  for (; i < arr.length; ++i) {\n    const isDone = arr[i]();\n    if (!isDone) {\n      break;\n    }\n  }\n  return i - 1;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\nimport {Tensor} from '../../tensor';\nimport {TypedArray} from '../../types';\nimport * as util from '../../util';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport * as shader_compiler from './shader_compiler';\nimport {InputInfo, ShapeInfo} from './shader_compiler';\nimport {PackingScheme, TextureData, TextureUsage} from './tex_util';\n\nexport interface GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[];\n  userCode: string;\n  /** If true, this program expects packed input textures. Defaults to false. */\n  packedInputs?: boolean;\n  /** If true, this program produces a packed texture. Defaults to false. */\n  packedOutput?: boolean;\n  /**\n   * Affects what type of texture we allocate for the output. Defaults to\n   * `TextureUsage.RENDER`.\n   */\n  outTexUsage?: TextureUsage;\n  /**\n   * The type of scheme to use when packing texels for the output values.\n   * See `PackingScheme` for details. Defaults to `PackingScheme.SHARED_BATCH`.\n   */\n  outPackingScheme?: PackingScheme;\n}\n\nexport interface GPGPUBinary {\n  webGLProgram: WebGLProgram;\n  program: GPGPUProgram;\n  uniformLocations: {[name: string]: WebGLUniformLocation};\n  source: string;\n  inShapeInfos: ShapeInfo[];\n  outShapeInfo: ShapeInfo;\n  infLoc: WebGLUniformLocation;\n  nanLoc: WebGLUniformLocation;\n}\n\nexport interface TensorData {\n  shape: number[];\n  texData: TextureData;\n  isUniform: boolean;\n  // Available when we decide to upload as uniform instead of texture.\n  uniformValues?: TypedArray;\n}\n\nexport function compileProgram<T extends Tensor, K extends Tensor>(\n    gpgpu: GPGPUContext, program: GPGPUProgram, inputs: TensorData[],\n    output: TensorData): GPGPUBinary {\n  const userCode = program.userCode;\n  const inputInfos: InputInfo[] = inputs.map((input, i) => {\n    const shapeInfo: ShapeInfo = {\n      logicalShape: input.shape,\n      texShape: input.isUniform ? null : input.texData.texShape,\n      isUniform: input.isUniform,\n      isPacked: input.isUniform ? false : input.texData.isPacked,\n      flatOffset: null\n    };\n    if (input.texData != null && input.texData.slice != null &&\n        input.texData.slice.flatOffset > 0) {\n      shapeInfo.flatOffset = input.texData.slice.flatOffset;\n    }\n    return {name: program.variableNames[i], shapeInfo};\n  });\n  const inShapeInfos = inputInfos.map(x => x.shapeInfo);\n  const outShapeInfo: ShapeInfo = {\n    logicalShape: output.shape,\n    texShape: output.texData.texShape,\n    isUniform: false,\n    isPacked: output.texData.isPacked,\n    flatOffset: null\n  };\n  const source = shader_compiler.makeShader(\n      inputInfos, outShapeInfo, userCode, program.packedInputs);\n\n  const webGLProgram = gpgpu.createProgram(source);\n\n  // Add special uniforms (NAN, INFINITY)\n  let infLoc: WebGLUniformLocation = null;\n  const nanLoc = gpgpu.getUniformLocation(webGLProgram, 'NAN', false);\n  if (env().getNumber('WEBGL_VERSION') === 1) {\n    infLoc = gpgpu.getUniformLocation(webGLProgram, 'INFINITY', false);\n  }\n\n  // Add user-defined uniforms\n  const uniformLocations: {[name: string]: WebGLUniformLocation} = {};\n  for (let i = 0; i < program.variableNames.length; i++) {\n    const varName = program.variableNames[i];\n    const shouldThrow = false;\n    uniformLocations[varName] =\n        gpgpu.getUniformLocation(webGLProgram, varName, shouldThrow);\n    uniformLocations[`offset${varName}`] =\n        gpgpu.getUniformLocation(webGLProgram, `offset${varName}`, shouldThrow);\n  }\n\n  return {\n    program,\n    source,\n    webGLProgram,\n    uniformLocations,\n    inShapeInfos,\n    outShapeInfo,\n    infLoc,\n    nanLoc,\n  };\n}\n\nfunction validateBinaryAndProgram(\n    shapeInfos: ShapeInfo[], inputs: TensorData[]) {\n  if (shapeInfos.length !== inputs.length) {\n    throw Error(\n        `Binary was compiled with ${shapeInfos.length} inputs, but ` +\n        `was executed with ${inputs.length} inputs`);\n  }\n\n  shapeInfos.forEach((s, i) => {\n    const shapeA = s.logicalShape;\n    const input = inputs[i];\n    const shapeB = input.shape;\n\n    if (!util.arraysEqual(shapeA, shapeB)) {\n      throw Error(\n          `Binary was compiled with different shapes than ` +\n          `the current args. Shapes ${shapeA} and ${shapeB} must match`);\n    }\n    // The input is uploaded as uniform.\n    if (s.isUniform && input.isUniform) {\n      return;\n    }\n\n    const texShapeA = s.texShape;\n    const texShapeB = input.isUniform ? null : input.texData.texShape;\n    if (!util.arraysEqual(texShapeA, texShapeB)) {\n      throw Error(\n          `Binary was compiled with different texture shapes than the` +\n          ` current args. Shape ${texShapeA} and ${texShapeB} must match`);\n    }\n  });\n}\n\nexport function runProgram<T extends Tensor, K extends Tensor>(\n    gpgpu: GPGPUContext, binary: GPGPUBinary, inputs: TensorData[],\n    output: TensorData,\n    customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) =>\n        void): void {\n  validateBinaryAndProgram(binary.inShapeInfos, inputs);\n  validateBinaryAndProgram([binary.outShapeInfo], [output]);\n\n  const outTex = output.texData.texture;\n  const outTexShape = output.texData.texShape;\n  if (output.texData.isPacked) {\n    gpgpu.setOutputPackedMatrixTexture(outTex, outTexShape[0], outTexShape[1]);\n  } else {\n    gpgpu.setOutputMatrixTexture(outTex, outTexShape[0], outTexShape[1]);\n  }\n  gpgpu.setProgram(binary.webGLProgram);\n\n  // Set special uniforms (NAN, INFINITY)\n  if (env().getNumber('WEBGL_VERSION') === 1) {\n    if (binary.infLoc !== null) {\n      gpgpu.gl.uniform1f(binary.infLoc, Infinity);\n    }\n  }\n  if (binary.nanLoc !== null) {\n    gpgpu.gl.uniform1f(binary.nanLoc, NaN);\n  }\n\n  // Set user-defined inputs\n  inputs.forEach((input, i) => {\n    const varName = binary.program.variableNames[i];\n    const varLoc = binary.uniformLocations[varName];\n    const varOffsetLoc = binary.uniformLocations[`offset${varName}`];\n\n    if (varLoc == null) {\n      // The compiler inferred that this variable is not used in this shader.\n      return;\n    }\n\n    if (input.isUniform) {\n      // Upload the values of the tensor as uniform.\n      if (util.sizeFromShape(input.shape) < 2) {\n        gpgpu.gl.uniform1f(varLoc, input.uniformValues[0]);\n      } else {\n        let vals = input.uniformValues;\n        if (!(vals instanceof Float32Array)) {\n          vals = new Float32Array(vals);\n        }\n        gpgpu.gl.uniform1fv(varLoc, vals);\n      }\n      return;\n    }\n\n    // If the input was sliced, upload the flat offset index.\n    if (input.texData.slice != null && varOffsetLoc != null) {\n      gpgpu.gl.uniform1i(varOffsetLoc, input.texData.slice.flatOffset);\n    }\n\n    gpgpu.setInputMatrixTexture(input.texData.texture, varLoc, i);\n  });\n\n  if (customSetup != null) {\n    customSetup(gpgpu, binary.webGLProgram);\n  }\n  gpgpu.executeProgram();\n}\n\nexport function makeShaderKey(\n    program: GPGPUProgram, inputs: TensorData[], output: TensorData): string {\n  let keyInputs = '';\n  inputs.concat(output).forEach(x => {\n    const hasOffset = x.texData != null && x.texData.slice != null &&\n        x.texData.slice.flatOffset > 0;\n    const texShape = x.isUniform ? 'uniform' : x.texData.texShape;\n    keyInputs += `${x.shape}_${texShape}_${hasOffset}`;\n  });\n  const keyUserCode = program.userCode;\n  let key = program.constructor.name;\n  // Fast string concat. See https://jsperf.com/string-concatenation/14.\n  key += '_' + keyInputs + '_' + keyUserCode;\n  return key;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Im2ColPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      outputShape: number[], inputShape: number[], convInfo: Conv2DInfo) {\n    this.outputShape = outputShape;\n\n    const {\n      filterWidth,\n      inChannels,\n      strideWidth,\n      strideHeight,\n      padInfo,\n      outWidth,\n      dilationWidth,\n      dilationHeight,\n      dataFormat\n    } = convInfo;\n    const {left, top} = padInfo;\n    const itemsPerBlockRow = inChannels * filterWidth;\n    const glsl = getGlslDifferences();\n    const isChannelsLast = dataFormat === 'channelsLast';\n    const rowDim = isChannelsLast ? 0 : 1;\n    const colDim = isChannelsLast ? 1 : 2;\n\n    let unrolled = ``;\n\n    for (let row = 0; row <= 1; row++) {\n      for (let col = 0; col <= 1; col++) {\n        unrolled += `\n          blockIndex = rc.y + ${col};\n          pos = rc.x + ${row};\n\n          if(blockIndex < ${outputShape[1]} && pos < ${outputShape[0]}) {\n            offsetY = int(blockIndex / (${outWidth})) * ${strideHeight} - ${\n            top};\n            d0 = offsetY + ${dilationHeight} * (pos / ${itemsPerBlockRow});\n\n            if(d0 < ${inputShape[rowDim]} && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), ${outWidth}.) * ${\n            strideWidth}. - ${left}.);\n              d1 = offsetX + ${dilationWidth} * (int(mod(float(pos), ${\n            itemsPerBlockRow}.) / ${inChannels}.));\n\n              if(d1 < ${inputShape[colDim]} && d1 >= 0) {\n\n                ch = int(mod(float(pos), ${inChannels}.));\n\n                if (${isChannelsLast}) {\n                  innerDims = vec2(d1, ch);\n                  result[${row * 2 + col}] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result[${row * 2 + col}] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        `;\n      }\n    }\n\n    this.userCode = `\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        ${unrolled}\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      xShape: number[], radius: number, bias: number, alpha: number,\n      beta: number) {\n    const rad = radius;\n    const maxD = xShape[3] - 1;\n    this.outputShape = xShape;\n\n    // optimize pow(bias + alpha * sum, -beta)\n    // src: https://github.com/tensorflow/tensorflow/..\n    // blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..\n    // tensorflow/core/kernels/mkl_lrn_op.cc#L320\n    let powOperator;\n    const basis = `float(${bias}) + float(${alpha}) * sum`;\n    if (beta === 0.5) {\n      powOperator = `inversesqrt(${basis})`;\n    } else if (beta === 1.0) {\n      powOperator = `1.0/(${basis})`;\n    } else {\n      powOperator = `exp(log(${basis}) * float(-${beta}));`;\n    }\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -${rad}; j <= ${rad}; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ${maxD}) {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ${powOperator};\n        setOutput(val);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNGradProgram implements GPGPUProgram {\n  variableNames = ['inputImage', 'outputImage', 'dy'];\n  outputShape: number[] = [];\n  userCode: string;\n  depthRadius: number;\n  bias: number;\n  alpha: number;\n  beta: number;\n  depth: number;\n\n  constructor(\n      inputShape: number[], depthRadius: number, bias: number, alpha: number,\n      beta: number) {\n    this.outputShape = inputShape;\n    this.depth = inputShape[3];\n    this.depthRadius = depthRadius;\n    this.bias = bias;\n    this.alpha = alpha;\n    this.beta = beta;\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < ${this.depth}; ++d) {\n          int depthBegin = int(max(0.0, float(d - ${depthRadius})));\n          int depthEnd = int(min(float(${this.depth}),\n              float(d + ${depthRadius} + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = ${this.depth};\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float(${alpha}) * norm + float(${bias});\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float(${alpha})\n                * float(${beta})\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * ${beta});\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNPackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      xShape: number[], radius: number, bias: number, alpha: number,\n      beta: number) {\n    const rad = radius;\n    const maxD = xShape[3] - 1;\n    this.outputShape = xShape;\n\n    // optimize pow(bias + alpha * sum, -beta)\n    // src: https://github.com/tensorflow/tensorflow/..\n    // blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..\n    // tensorflow/core/kernels/mkl_lrn_op.cc#L320\n    let powOperator;\n    const basis = `float(${bias}) + float(${alpha}) * sum`;\n    if (beta === 0.5) {\n      powOperator = `inversesqrt(${basis})`;\n    } else if (beta === 1.0) {\n      powOperator = `1.0/(${basis})`;\n    } else {\n      powOperator = `exp(log(${basis}) * float(-${beta}));`;\n    }\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < ${this.outputShape[3]};\n        bool hasNextRow = c < ${this.outputShape[2]};\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - ${rad};\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - ${rad}; j <= ${rad}; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${maxD}));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * ${powOperator};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MaxPool2DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy', 'maxPos'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const lastIndex = effectiveFilterHeight * effectiveFilterWidth - 1;\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n          wR += ${dilationHeight}) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ${effectiveFilterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = ${lastIndex} - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * ${effectiveFilterWidth} + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class MaxPool3DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy', 'maxPos'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const lastIndex =\n        effectiveFilterDepth * effectiveFilterHeight * effectiveFilterWidth - 1;\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n           wD += ${dilationDepth}) {\n          float dyD = float(dyDCorner + wD) / ${strideDepth}.0;\n\n          if (dyD < 0.0 || dyD >= ${convInfo.outDepth}.0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = ${lastIndex} -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * ${effectiveFilterHeight} * ${effectiveFilterWidth} +\n                  wR * ${effectiveFilterWidth} + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MatMulPackedProgram implements GPGPUProgram {\n  variableNames = ['matrixA', 'matrixB'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      aShape: [number, number, number], outputShape: [number, number, number],\n      transposeA = false, transposeB = false, addBias = false,\n      activation: string = null, hasPreluActivation = false) {\n    this.outputShape = outputShape;\n\n    const sharedDim = transposeA ? aShape[1] : aShape[2];\n    const sharedDimensionPacked = Math.ceil(sharedDim / 2);\n\n    const aSample = transposeA ? 'i * 2, rc.y' : 'rc.y, i * 2';\n    const bSample = transposeB ? 'rc.z, i * 2' : 'i * 2, rc.z';\n    const aSwizzle = transposeA ? ['a.xxyy', 'a.zzww'] : ['a.xxzz', 'a.yyww'];\n    const bSwizzle = transposeB ? ['b.xzxz', 'b.ywyw'] : ['b.xyxy', 'b.zwzw'];\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `vec4 activation(vec4 x) {\n          ${activation}\n        }`;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const float sharedDimension = ${sharedDimensionPacked}.0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < ${sharedDimensionPacked}; i++) {\n          vec4 a = getMatrixA(rc.x, ${aSample});\n          vec4 b = getMatrixB(rc.x, ${bSample});\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += (${aSwizzle[0]} * ${bSwizzle[0]});\n          result += (${aSwizzle[1]} * ${bSwizzle[1]});\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        ${addBiasSnippet}\n\n        ${applyActivationSnippet}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MultinomialProgram implements GPGPUProgram {\n  variableNames = ['probs'];\n  outputShape: number[];\n  userCode: string;\n\n  // Caching uniform location for speed.\n  seedLoc: WebGLUniformLocation;\n\n  constructor(batchSize: number, numOutcomes: number, numSamples: number) {\n    this.outputShape = [batchSize, numSamples];\n\n    this.userCode = `\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < ${numOutcomes - 1}; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float(${numOutcomes - 1}));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(seed: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.seedLoc == null) {\n        this.seedLoc = gpgpu.getUniformLocation(webGLProgram, 'seed');\n      }\n      gpgpu.gl.uniform1f(this.seedLoc, seed);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class OneHotProgram implements GPGPUProgram {\n  variableNames = ['indices'];\n  outputShape: number[];\n  userCode: string;\n\n  // Caching uniform location for speed.\n  seedLoc: WebGLUniformLocation;\n\n  constructor(\n      numIndices: number, depth: number, onValue: number, offValue: number) {\n    this.outputShape = [numIndices, depth];\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float(${offValue}), float(${onValue}),\n                      float(index == coords.y)));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PackProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(\n      outputShape:\n          number[]) {  // TODO(https://github.com/tensorflow/tfjs/issues/893):\n                       // Only input / output 3D tensors.\n    this.outputShape = outputShape;\n    const rank = outputShape.length;\n\n    if (rank === 0) {\n      this.userCode = `\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      `;\n    } else {\n      const channels = getChannels('rc', rank);\n      const dtype = getCoordsDataType(rank);\n      const outOfBoundsCondition =\n          getOutOfBoundsCondition(rank, outputShape, channels);\n      const setup = getSetup(\n          rank, outputShape[outputShape.length - 1],\n          outputShape[outputShape.length - 2], channels);\n      const output = getOutput(outputShape, channels);\n\n      this.userCode = `\n        void main() {\n          ${dtype} rc = getOutputCoords();\n\n          if(${outOfBoundsCondition}) {\n            setOutput(vec4(0));\n          } else {\n            ${setup}\n\n            setOutput(vec4(${output}));\n          }\n        }\n      `;\n    }\n  }\n}\n\nfunction getSourceCoordsArr(rank: number, dims: string[]): string[] {\n  const coords = [];\n\n  for (let row = 0; row <= 1; row++) {\n    for (let col = 0; col <= 1; col++) {\n      let coord = `${row === 0 ? 'r' : 'rp1'}, ${col === 0 ? 'c' : 'cp1'}`;\n\n      for (let d = 2; d < rank; d++) {\n        coord = `${dims[dims.length - 1 - d]},` + coord;\n      }\n\n      coords.push(coord);\n    }\n  }\n  return coords;\n}\n\nfunction getOutOfBoundsCondition(\n    rank: number, shape: number[], dims: string[]): string {\n  if (rank === 1) {\n    return `rc > ${shape[0]}`;\n  }\n\n  let cond = '';\n  for (let i = rank - 2; i < rank; i++) {\n    cond += `${dims[i]} >= ${shape[i]}`;\n    if (i < rank - 1) {\n      cond += '||';\n    }\n  }\n\n  return cond;\n}\n\nfunction getSetup(\n    rank: number, cols: number, rows: number, dims: string[]): string {\n  if (rank === 1) {\n    return '';\n  }\n\n  const innerDims = dims.slice(-2);\n\n  return `\n    int r = ${innerDims[0]};\n    int c = ${innerDims[1]};\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= ${cols};\n    bool rEdge = rp1 >= ${rows};\n  `;\n}\n\nfunction getOutput(shape: number[], dims: string[]): string {\n  const rank = shape.length;\n  const sourceCoords = getSourceCoordsArr(rank, dims);\n  if (rank === 1) {\n    return `getA(rc),\n            rc + 1 >= ${shape[0]} ? 0. : getA(rc + 1),\n            0, 0`;\n  }\n\n  return `getA(${sourceCoords[0]}),\n          cEdge ? 0. : getA(${sourceCoords[1]}),\n          rEdge ? 0. : getA(${sourceCoords[2]}),\n          rEdge || cEdge ? 0. : getA(${sourceCoords[3]})`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PadProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      xShape: number[], paddings: Array<[number, number]>,\n      constantValue: number) {\n    this.outputShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);\n    const rank = xShape.length;\n    const type = getCoordsDataType(rank);\n\n    const start = paddings.map(p => p[0]).join(',');\n    const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');\n    const unpackedCoords =\n        ['coords[0]', 'coords[1]', 'coords[2]', 'coords[3]'].slice(0, rank);\n\n    if (rank === 1) {\n      this.userCode = `\n        int start = ${start};\n        int end = ${end};\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float(${constantValue}));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      `;\n      return;\n    }\n    this.userCode = `\n      ${type} start = ${type}(${start});\n      ${type} end = ${type}(${end});\n\n      void main() {\n        ${type} outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float(${constantValue}));\n        } else {\n          ${type} coords = outC - start;\n          setOutput(getX(${unpackedCoords}));\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PadPackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      xShape: number[], paddings: Array<[number, number]>,\n      constantValue: number) {\n    this.outputShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);\n    const rank = xShape.length;\n    const dtype = getCoordsDataType(rank);\n\n    const start = paddings.map(p => p[0]).join(',');\n    const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');\n    const coords = getChannels('rc', rank);\n    const source = getChannels('source', rank);\n    const cLimit = `${coords[rank - 1]} < ${this.outputShape[rank - 1]}`;\n    const innerDims =\n        rank === 1 ? 'source' : `vec2(${source.slice(-2).join()})`;\n\n    const componentSetup = [\n      `${dtype} rc = outputLoc;`, `${coords[rank - 1]} += 1;\n       if(${cLimit}) {\n      `,\n      rank === 1 ? '' : `}\n       rc = outputLoc;\n       ${coords[rank - 2]} += 1;\n       if(${coords[rank - 2]} < ${this.outputShape[rank - 2]}) {`,\n      rank === 1 ? '' : `  ${coords[rank - 1]} += 1;\n         if(${cLimit}) {`\n    ];\n\n    const paddingArea = rank === 1 ?\n        'rc < start || rc >= end' :\n        'any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))';\n    let mainLoop = '';\n    for (let i = 0, j = rank === 1 ? 2 : 4; i < j; i++) {\n      mainLoop += `\n        ${componentSetup[i]}\n        if (${paddingArea}) {\n          result[${i}] = float(${constantValue});\n        } else {\n          ${dtype} source = rc - start;\n          result[${i}] = getChannel(getX(${source.join()}), ${innerDims});\n        }\n      `;\n    }\n    mainLoop += (rank === 1 ? `} ` : `}}`);\n\n    this.userCode = `\n      const ${dtype} start = ${dtype}(${start});\n      const ${dtype} end = ${dtype}(${end});\n\n      void main() {\n        ${dtype} outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ${mainLoop}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Pool2DProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, poolType: 'max'|'avg', computePositions: boolean) {\n    if (poolType === 'avg' && computePositions) {\n      throw new Error('Cannot compute positions for average pool.');\n    }\n\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    this.outputShape = convInfo.outShape;\n\n    const isAvgPool = poolType === 'avg';\n\n    let initializationValue = '0.0';\n    if (!isAvgPool) {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n    }\n\n    if (computePositions) {\n      const compareOp = '>=';\n\n      this.userCode = `\n        const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n        const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value ${compareOp} currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * ${effectiveFilterWidth} + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      `;\n      return;\n    }\n\n    const compareOp = 'max';\n\n    let returnValue = `${poolType}(${poolType}(${poolType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n    if (poolType === 'avg') {\n      returnValue = `avgValue / count`;\n    }\n\n    const filterWidthNearestVec4 = Math.floor(filterWidth / 4) * 4;\n    const filterWidthVec4Remainder = filterWidth % 4;\n\n    const updateSnippet = `\n      if (${isAvgPool}) {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    this.userCode = `\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= ${convInfo.inWidth}) {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(${initializationValue});\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= ${convInfo.inHeight}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidthNearestVec4}; wC += 4) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              getValue(batch, xR, xC + 2 * ${dilationWidth}, d),\n              getValue(batch, xR, xC + 3 * ${dilationWidth}, d)\n            );\n\n            ${updateSnippet}\n          }\n\n          int xC = xCCorner + ${filterWidthNearestVec4};\n          if (${filterWidthVec4Remainder === 1}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            ${updateSnippet}\n          } else if (${filterWidthVec4Remainder === 2}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              initializationValue,\n              initializationValue\n            );\n\n            ${updateSnippet}\n          } else if (${filterWidthVec4Remainder === 3}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              getValue(batch, xR, xC + 2 * ${dilationWidth}, d),\n              initializationValue\n            );\n\n            ${updateSnippet}\n          }\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n\nexport class Pool3DProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv3DInfo, poolType: 'max'|'avg', computePositions: boolean) {\n    if (poolType === 'avg' && computePositions) {\n      throw new Error('Cannot compute positions for average pool.');\n    }\n\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    this.outputShape = convInfo.outShape;\n\n    const isAvgPool = poolType === 'avg';\n\n    let initializationValue = '0.0';\n    if (!isAvgPool) {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n    }\n\n    if (computePositions) {\n      const compareOp = '>=';\n\n      this.userCode = `\n        const ivec3 strides =\n            ivec3(${strideDepth}, ${strideHeight}, ${strideWidth});\n        const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < ${effectiveFilterDepth};\n              wD += ${dilationDepth}) {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= ${convInfo.inDepth}) {\n              continue;\n            }\n\n            for (int wR = 0; wR < ${effectiveFilterHeight};\n                wR += ${dilationHeight}) {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= ${convInfo.inHeight}) {\n                continue;\n              }\n\n              for (int wC = 0; wC < ${effectiveFilterWidth};\n                  wC += ${dilationWidth}) {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value ${compareOp} currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition =\n                      wD * ${effectiveFilterHeight} * ${effectiveFilterWidth} +\n                      wR * ${effectiveFilterWidth} + wC;;\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      `;\n      return;\n    }\n\n    const compareOp = 'max';\n\n    let returnValue = `${poolType}(${poolType}(${poolType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n    if (poolType === 'avg') {\n      returnValue = `avgValue / count`;\n    }\n\n    const filterWidthNearestVec4 = Math.floor(filterWidth / 4) * 4;\n    const filterWidthVec4Remainder = filterWidth % 4;\n\n    const updateSnippet = `\n      if (${isAvgPool}) {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    this.userCode = `\n      const ivec3 strides =\n        ivec3(${strideDepth}, ${strideHeight}, ${strideWidth});\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= ${convInfo.inWidth}) {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(${initializationValue});\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n            wD += ${dilationDepth}) {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= ${convInfo.inDepth}) {\n            continue;\n          }\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${filterWidthNearestVec4}; wC += 4) {\n              int xC = xCCorner + wC * ${dilationWidth};\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 2 * ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 3 * ${dilationWidth}, ch)\n              );\n\n              ${updateSnippet}\n            }\n\n            int xC = xCCorner + ${filterWidthNearestVec4};\n            if (${filterWidthVec4Remainder === 1}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              ${updateSnippet}\n            } else if (${filterWidthVec4Remainder === 2}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                initializationValue,\n                initializationValue\n              );\n\n              ${updateSnippet}\n            } else if (${filterWidthVec4Remainder === 3}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 2 * ${dilationWidth}, ch),\n                initializationValue\n              );\n\n              ${updateSnippet}\n            }\n          }\n          setOutput(${returnValue});\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ReduceInfo} from '../../ops/reduce_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ReduceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      reduceInfo: ReduceInfo,\n      reduceType: 'all'|'any'|'max'|'min'|'sum'|'prod') {\n    const windowSize = reduceInfo.windowSize;\n    const batchSize = reduceInfo.batchSize;\n    const inSize = reduceInfo.inSize;\n    const outSize = Math.ceil(inSize / windowSize);\n    this.outputShape = [batchSize, outSize];\n\n    let initializationValue = '0.0';\n    let compareOp = ``;\n\n    if (reduceType === 'prod') {\n      initializationValue = '1.0';\n    } else if (reduceType === 'min') {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '1.0 / 1e-20';\n      compareOp = `min`;\n    } else if (reduceType === 'max') {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n      compareOp = `max`;\n    }\n\n    let returnValue = `${reduceType}(${reduceType}(${reduceType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n\n    if (reduceType === 'sum') {\n      returnValue = `sumValue`;\n    } else if (reduceType === 'prod') {\n      returnValue = `prodValue`;\n    } else if (reduceType === 'all') {\n      returnValue = `allValue`;\n    } else if (reduceType === 'any') {\n      returnValue = `anyValue`;\n    }\n\n    const windowSizeNearestVec4 = Math.floor(windowSize / 4) * 4;\n    const windowSizeVec4Remainder = windowSize % 4;\n\n    let updateSnippet = `\n      if (${reduceType === 'sum'}) {\n        sumValue += dot(values, ones);\n      } else if (${reduceType === 'prod'}) {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    let vecType = `vec4`;\n\n    if (reduceType === 'all') {\n      initializationValue = '1.0';\n      updateSnippet = `\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      `;\n      vecType = `bvec4`;\n    } else if (reduceType === 'any') {\n      initializationValue = '0.0';\n      updateSnippet = `\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      `;\n      vecType = `bvec4`;\n    }\n\n    let checkOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return initializationValue;\n        }\n      `;\n    }\n    this.userCode = `\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ${checkOutOfBounds}\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ${windowSize};\n\n        vec4 minMaxValue = vec4(${initializationValue});\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < ${windowSizeNearestVec4}; i += 4) {\n          int inIdx = inOffset + i;\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          ${updateSnippet}\n        }\n\n        int inIdx = inOffset + ${windowSizeNearestVec4};\n        if (${windowSizeVec4Remainder === 1}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 2}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 3}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          ${updateSnippet}\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\nexport class ReshapePackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(outputShape: [number, number, number], inputShape: [\n    number, number, number\n  ]) {\n    this.outputShape = outputShape;\n\n    let mainLoop = ``;\n    for (let i = 0; i < 4; i++) {\n      let thisRC = `thisRC = rc;`;\n      if (i % 2 === 1) {\n        thisRC += `thisRC.z += 1;`;\n      }\n      if (i > 1) {\n        thisRC += `thisRC.y += 1;`;\n      }\n\n      mainLoop += `\n        ${thisRC}\n        ${i > 0 ? `if(thisRC.y < rows && thisRC.z < cols){` : ''}\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[${i}] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ${i > 0 ? '}' : ''}\n      `;\n    }\n\n    this.userCode = `\n      ${getReshapedInputCoords(inputShape)}\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = ${outputShape[1]};\n        int cols = ${outputShape[2]};\n\n        ${mainLoop}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n\nfunction getReshapedInputCoords(shape: [number, number, number]): string {\n  const coordsFromIndexSnippet =\n      shader_util.getLogicalCoordinatesFromFlatIndex(['r', 'c', 'd'], shape);\n\n  return `\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ${coordsFromIndexSnippet}\n      return ivec3(r, c, d);\n    }\n  `;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor4D} from '../../tensor';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    this.outputShape = x.shape;\n    const [, xHeight, xWidth, ] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    // In the backwards pass, we want to find the pixels that were generated for\n    // each pixel in the input image the forward pass and add the corresponding\n    // coefficient from dy to the gradient (with some interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(${heightScale});\n        const float widthScale = float(${widthScale});\n\n        const float invHeightScale = float(${invHeightScale});\n        const float invWidthScale = float(${invWidthScale});\n\n        const int winHeight = int(${winHeight});\n        const int winWidth = int(${winWidth});\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ${yHeight}) {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ${yWidth}) {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), ${xHeight - 1}.0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), ${xWidth - 1}.0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    this.userCode = `\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec2 inputShapeRC = vec2(${oldHeight}.0, ${oldWidth}.0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    this.userCode = `\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec3 inputShapeRC = vec3(${oldHeight}.0, ${oldWidth}.0,\n                                     ${oldWidth}.0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ${depth - 1};\n        bool hasNextRow = coords.z < ${newWidth - 1};\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor4D} from '../../tensor';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeNearestNeigborBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    this.outputShape = x.shape;\n    const [, xHeight, xWidth, ] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    // In the backwards pass, we want to find the pixels that were generated for\n    // each pixel in the input image the forward pass and add the corresponding\n    // coefficient from dy to the gradient (with some interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(${heightScale});\n        const float widthScale = float(${widthScale});\n\n        const float invHeightScale = float(${invHeightScale});\n        const float invWidthScale = float(${invWidthScale});\n\n        const int winHeight = int(${winHeight});\n        const int winWidth = int(${winWidth});\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ${yHeight}) {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ${yWidth}) {\n              continue;\n            }\n\n            float sourceFracRow =\n              float(${effectiveXSize[0]}) *\n                (float(dyR) / float(${effectiveYSize[0]}));\n\n            float sourceFracCol =\n                float(${effectiveXSize[1]}) *\n                  (float(dyC) / float(${effectiveYSize[1]}));\n\n            int sourceNearestRow = int(min(\n                float(int(${xHeight}) - 1),\n                ${alignCorners} ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int(${xWidth}) - 1),\n                ${alignCorners} ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeNearestNeighborProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    // When align corners is false, we rounds the value with floor.\n    const roundBase = alignCorners ? '0.5' : '0.0';\n\n    this.userCode = `\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec2 inputShapeRC = vec2(${oldHeight}.0, ${oldWidth}.0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${roundBase})));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ReverseProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(xShape: number[], axis: number[]) {\n    const rank = xShape.length;\n    if (rank > 4) {\n      throw new Error(\n          `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`);\n    }\n    this.outputShape = xShape;\n\n    if (rank === 1) {\n      this.userCode = `\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(${xShape[0]} - coord - 1));\n        }\n      `;\n      return;\n    }\n    const getInCoord = (i: number) => {\n      if (axis.indexOf(i) !== -1 && xShape[i] !== 1) {\n        return `${xShape[i]} - coords[${i}] - 1`;\n      }\n      return `coords[${i}]`;\n    };\n    const inCoords = xShape.map((_, i) => getInCoord(i)).join(',');\n    const type = getCoordsDataType(rank);\n\n    this.userCode = `\n      void main() {\n        ${type} coords = getOutputCoords();\n        setOutput(getX(${inCoords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ReversePackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(xShape: number[], axis: number[]) {\n    const rank = xShape.length;\n    if (rank > 4) {\n      throw new Error(\n          `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`);\n    }\n    this.outputShape = xShape;\n    const channels = getChannels('rc', rank);\n    const nextColumn =\n        `${channels[rank - 1]} + 1 < ${this.outputShape[rank - 1]}`;\n    const nextRow = `${channels[rank - 2]} + 1 < ${this.outputShape[rank - 2]}`;\n    const type = getCoordsDataType(rank);\n    if (rank === 1) {\n      this.userCode = `\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(${xShape[0]} - rc - 1),\n            ${xShape[0]} - rc - 1);\n          if(${nextColumn}){\n              result.g = getChannel(getX(${xShape[0]} - (rc  + 1) - 1),\n                ${xShape[0]} - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      `;\n    } else {\n      this.userCode = `\n        void main() {\n          ${type} rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = ${getR(channels.slice())};\n          if(${nextColumn}){\n            result.g = ${getG(channels.slice())};\n          }\n          if(${nextRow}) {\n            result.b = ${getB(channels.slice())};\n            if(${nextColumn}) {\n              result.a = ${getA(channels.slice())};\n            }\n          }\n          setOutput(result);\n        }\n    `;\n    }\n\n    function getR(channels: string[]): string {\n      return getChannel(channels);\n    }\n\n    function getG(channels: string[]): string {\n      channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getB(channels: string[]): string {\n      channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getA(channels: string[]): string {\n      channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`;\n      channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getChannel(channels: string[]): string {\n      const inCoordsArray = xShape.map((_, i) => getInCoord(i, channels));\n      const inCoords = inCoordsArray.join(',');\n      const innerDims = inCoordsArray.slice(-2).join(',');\n      return `getChannel(getX(${inCoords}), vec2(${innerDims}))`;\n    }\n\n    function getInCoord(i: number, channels1: string[]): string {\n      if (axis.indexOf(i) !== -1 && xShape[i] !== 1) {\n        return `${xShape[i]} - ${channels1[i]} - 1`;\n      } else {\n        return `${channels1[i]}`;\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ScatterProgram implements GPGPUProgram {\n  variableNames = ['updates', 'indices', 'defaultValue'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      updateSize: number, sliceDim: number, indicesRank: number,\n      updatesRank: number, strides: number[], shape: number[],\n      summingDupeIndex = true) {\n    this.outputShape = shape;\n    const stridesType = getCoordsDataType(strides.length);\n    const dtype = getCoordsDataType(shape.length);\n    let indicesString = '';\n    if (indicesRank === 1) {\n      indicesString = 'i';\n    } else if (indicesRank === 2) {\n      indicesString = 'i, j';\n    }\n    const indicesSnippet = `getIndices(${indicesString})`;\n\n    let updatesString = '';\n    if (updatesRank === 1) {\n      updatesString = 'i';\n    } else if (updatesRank === 2) {\n      updatesString = 'i, coords[1]';\n    }\n    const updatesSnippet = `getUpdates(${updatesString})`;\n\n    const strideString = sliceDim > 1 ? 'strides[j]' : 'strides';\n    this.userCode = `\n        ${stridesType} strides = ${stridesType}(${strides});\n\n        void main() {\n          ${dtype} coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < ${updateSize}; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < ${sliceDim}; j++) {\n              int index = round(${indicesSnippet});\n              flattenedIndex += index * ${strideString};\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += ${updatesSnippet};\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SegOpInfo} from '../../ops/segment_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class SegmentOpProgram implements GPGPUProgram {\n  variableNames = ['x', 'segmentIds'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(segOpInfo: SegOpInfo, segOpType: 'unsortedSegmentSum') {\n    const windowSize = segOpInfo.windowSize;\n    const batchSize = segOpInfo.batchSize;\n    const inSize = segOpInfo.inSize;\n    const numSegments = segOpInfo.numSegments;\n    const outSize = numSegments * Math.ceil(inSize / windowSize);\n    this.outputShape = [batchSize, outSize];\n\n    const initializationValue = '0.0';\n    const returnValue = `sumValue`;\n\n    const windowSizeNearestVec4 = Math.floor(windowSize / 4) * 4;\n    const windowSizeVec4Remainder = windowSize % 4;\n\n    const updateSnippet = `\n        sumValue += dot(values, segFilter);\n    `;\n\n    let checkValueOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkValueOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return initializationValue;\n        }\n      `;\n    }\n\n    let checkSegmentIdOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkSegmentIdOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return -1.0;\n        }\n      `;\n    }\n\n    this.userCode = `\n      const float initializationValue = ${initializationValue};\n\n      float getValue(int batch, int inIdx) {\n        ${checkValueOutOfBounds}\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        ${checkSegmentIdOutOfBounds}\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          ${numSegments})) * float(${windowSize}));\n        int currentSeg = int(mod(float(outIdx), float(${numSegments})));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ${windowSizeNearestVec4}; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          ${updateSnippet}\n        }\n\n        int inIdx = inOffset + ${windowSizeNearestVec4};\n        if (${windowSizeVec4Remainder === 1}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 2}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 3}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          ${updateSnippet}\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SelectProgram implements GPGPUProgram {\n  variableNames = ['c', 'a', 'b'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(cRank: number, shape: number[], rank: number) {\n    this.outputShape = shape;\n\n    let cCoords;\n    let abCoords;\n    if (rank > 4) {\n      throw Error(`Where for rank ${rank} is not yet supported`);\n    }\n\n    if (rank === 1) {\n      abCoords = `resRC`;\n      cCoords = `resRC`;\n    } else {\n      const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w'];\n      const cCoordVars = [];\n      const abCoordVars = [];\n      for (let i = 0; i < shape.length; i++) {\n        abCoordVars.push(`${currentCoords[i]}`);\n        if (i < cRank) {\n          cCoordVars.push(`${currentCoords[i]}`);\n        }\n      }\n      cCoords = cCoordVars.join();\n      abCoords = abCoordVars.join();\n    }\n\n    const dtype = getCoordsDataType(rank);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        float cVal = getC(${cCoords});\n        if (cVal >= 1.0) {\n          setOutput(getA(${abCoords}));\n        } else {\n          setOutput(getB(${abCoords}));\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SliceProgram implements GPGPUProgram {\n  variableNames = ['source'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  // Caching uniform location for speed.\n  startLoc: WebGLUniformLocation;\n\n  constructor(destSize: number[]) {\n    this.outputShape = destSize;\n    this.rank = destSize.length;\n\n    const dtype = getCoordsDataType(this.rank);\n    const uniformPart = `uniform int start[${this.rank}];`;\n    const sourceCoords = getCoords(this.rank);\n\n    let body: string;\n    const coordSum = destSize.map((_, i) => {\n      return `sourceLoc.${coords[i]} = start[${i}] + coords.${coords[i]};`;\n    });\n    body = `\n        ${dtype} sourceLoc;\n        ${dtype} coords = getOutputCoords();\n        ${coordSum.join('\\n')}\n      `;\n    this.userCode = `\n      ${uniformPart}\n      void main() {\n        ${body}\n        setOutput(getSource(${sourceCoords}));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(start: number[]) {\n    if (start.length !== this.rank) {\n      throw Error(\n          `The rank (${this.rank}) of the program must match the ` +\n          `length of start (${start.length})`);\n    }\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.startLoc == null) {\n        this.startLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'start');\n        if (this.startLoc == null) {\n          // This means the compiler has optimized and realized it doesn't need\n          // the uniform.\n          return;\n        }\n      }\n      gpgpu.gl.uniform1iv(this.startLoc, start);\n    };\n  }\n}\n\nconst coords = ['x', 'y', 'z', 'w', 'u', 'v'];\n\nfunction getCoords(rank: number): string {\n  if (rank === 1) {\n    return 'sourceLoc';\n  } else if (rank <= 6) {\n    return coords.slice(0, rank).map(x => 'sourceLoc.' + x).join(',');\n  } else {\n    throw Error(`Slicing for rank ${rank} is not yet supported`);\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SlicePackedProgram implements GPGPUProgram {\n  variableNames = ['source'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  // Caching uniform location for speed.\n  startLoc: WebGLUniformLocation;\n\n  constructor(destSize: number[]) {\n    this.outputShape = destSize;\n    this.rank = destSize.length;\n\n    const dtype = getCoordsDataType(this.rank);\n    const coords = getChannels('coords', this.rank);\n    const sourceLoc = getChannels('sourceLoc', this.rank);\n\n    const innerDims =\n        this.rank === 1 ? 'sourceLoc' : `vec2(${sourceLoc.slice(-2).join()})`;\n    const getChannel =\n        `getChannel(getSource(${sourceLoc.join()}), ${innerDims})`;\n    const upperRow = `\n      result.x = ${getChannel};\n      if (++${coords[this.rank - 1]} < ${destSize[this.rank - 1]}) {\n        ++${sourceLoc[this.rank - 1]};\n        result.y = ${getChannel};\n        --${sourceLoc[this.rank - 1]};\n      }\n    `;\n    const lowerRow = this.rank === 1 ? '' : `\n      --${coords[this.rank - 1]};\n      if (++${coords[this.rank - 2]} < ${destSize[this.rank - 2]}) {\n        ++${sourceLoc[this.rank - 2]};\n        result.z = ${getChannel};\n        if (++${coords[this.rank - 1]} < ${destSize[this.rank - 1]}) {\n          ++${sourceLoc[this.rank - 1]};\n          result.w = ${getChannel};\n        }\n      }\n    `;\n\n    const sourceLocSetup = this.rank <= 4 ?\n        `sourceLoc = coords +\n            ${dtype}(${destSize.map((_, i) => `start[${i}]`).join()});` :\n        destSize.map((_, i) => `${sourceLoc[i]} = ${coords[i]} + start[${i}];`)\n            .join('\\n');\n    this.userCode = `\n      uniform int start[${this.rank}];\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        ${dtype} sourceLoc;\n        ${sourceLocSetup}\n        vec4 result = vec4(0.);\n        ${upperRow}\n        ${lowerRow}\n        setOutput(result);\n      }\n    `;\n  }\n\n  getCustomSetupFunc(start: number[]) {\n    if (start.length !== this.rank) {\n      throw Error(\n          `The rank (${this.rank}) of the program must match the ` +\n          `length of start (${start.length})`);\n    }\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.startLoc == null) {\n        this.startLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'start');\n        if (this.startLoc == null) {\n          // This means the compiler has optimized and realized it doesn't need\n          // the uniform.\n          return;\n        }\n      }\n      gpgpu.gl.uniform1iv(this.startLoc, start);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class StridedSliceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      begin: number[], strides: number[], size: number[]) {\n    this.outputShape = size;\n    const rank = size.length;\n    const inputDtype = getCoordsDataType(size.length);\n    const dtype = getCoordsDataType(size.length);\n\n    let newCoords = '';\n    if (rank === 1) {\n      newCoords = 'coords * strides + begin';\n    } else {\n      let outputAxis = 0;\n      newCoords =\n          size.map((_, i) => {\n                outputAxis++;\n                return size.length === 1 ?\n                    `coords * strides[${i}] + begin[${i}]` :\n                    `coords[${outputAxis - 1}] * strides[${i}] + begin[${i}]`;\n              })\n              .join(',');\n    }\n\n    this.userCode = `\n      ${inputDtype} begin = ${inputDtype}(${begin});\n      ${inputDtype} strides = ${inputDtype}(${strides});\n\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        setOutput(getX(${newCoords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {PhysicalTextureType, TextureUsage} from './tex_util';\n\nexport class TextureManager {\n  private numUsedTextures = 0;\n  private numFreeTextures = 0;\n  private freeTextures: {[shape: string]: WebGLTexture[]} = {};\n  private logEnabled = false;\n  private usedTextures: {[shape: string]: WebGLTexture[]} = {};\n\n  constructor(private gpgpu: GPGPUContext) {}\n\n  acquireTexture(\n      shapeRC: [number, number], usage: TextureUsage,\n      isPacked: boolean): WebGLTexture {\n    const physicalTexType = getPhysicalFromLogicalTextureType(usage, isPacked);\n\n    const shapeKey = getKeyFromTextureShape(shapeRC, physicalTexType, isPacked);\n    if (!(shapeKey in this.freeTextures)) {\n      this.freeTextures[shapeKey] = [];\n    }\n    if (!(shapeKey in this.usedTextures)) {\n      this.usedTextures[shapeKey] = [];\n    }\n\n    if (this.freeTextures[shapeKey].length > 0) {\n      this.numFreeTextures--;\n      this.numUsedTextures++;\n      this.log();\n      const newTexture = this.freeTextures[shapeKey].shift();\n      this.usedTextures[shapeKey].push(newTexture);\n      return newTexture;\n    }\n    this.numUsedTextures++;\n    this.log();\n\n    let newTexture: WebGLTexture;\n    if (physicalTexType === PhysicalTextureType.PACKED_2X2_FLOAT32) {\n      newTexture = this.gpgpu.createPackedMatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.PACKED_2X2_FLOAT16) {\n      newTexture =\n          this.gpgpu.createFloat16PackedMatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.UNPACKED_FLOAT32) {\n      newTexture =\n          this.gpgpu.createFloat32MatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.UNPACKED_FLOAT16) {\n      newTexture =\n          this.gpgpu.createFloat16MatrixTexture(shapeRC[0], shapeRC[1]);\n\n    } else if (\n        physicalTexType === PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE) {\n      newTexture =\n          this.gpgpu.createUnsignedBytesMatrixTexture(shapeRC[0], shapeRC[1]);\n    }\n    this.usedTextures[shapeKey].push(newTexture);\n\n    return newTexture;\n  }\n\n  releaseTexture(\n      texture: WebGLTexture, shape: [number, number],\n      logicalTexType: TextureUsage, isPacked: boolean): void {\n    if (this.freeTextures == null) {\n      // Already disposed.\n      return;\n    }\n    const physicalTexType =\n        getPhysicalFromLogicalTextureType(logicalTexType, isPacked);\n    const shapeKey = getKeyFromTextureShape(shape, physicalTexType, isPacked);\n    if (!(shapeKey in this.freeTextures)) {\n      this.freeTextures[shapeKey] = [];\n    }\n    this.freeTextures[shapeKey].push(texture);\n    this.numFreeTextures++;\n    this.numUsedTextures--;\n    const texList = this.usedTextures[shapeKey];\n    const texIndex = texList.indexOf(texture);\n    if (texIndex < 0) {\n      throw new Error(\n          'Cannot release a texture that was never provided by this ' +\n          'texture manager');\n    }\n    texList.splice(texIndex, 1);\n    this.log();\n  }\n\n  private log() {\n    if (!this.logEnabled) {\n      return;\n    }\n    const total = this.numFreeTextures + this.numUsedTextures;\n    console.log(\n        'Free/Used', `${this.numFreeTextures} / ${this.numUsedTextures}`,\n        `(${total})`);\n  }\n\n  getNumUsedTextures(): number {\n    return this.numUsedTextures;\n  }\n\n  getNumFreeTextures(): number {\n    return this.numFreeTextures;\n  }\n\n  dispose() {\n    if (this.freeTextures == null) {\n      // Already disposed.\n      return;\n    }\n    for (const texShape in this.freeTextures) {\n      this.freeTextures[texShape].forEach(tex => {\n        this.gpgpu.deleteMatrixTexture(tex);\n      });\n    }\n    for (const texShape in this.usedTextures) {\n      this.usedTextures[texShape].forEach(tex => {\n        this.gpgpu.deleteMatrixTexture(tex);\n      });\n    }\n    this.freeTextures = null;\n    this.usedTextures = null;\n    this.numUsedTextures = 0;\n    this.numFreeTextures = 0;\n  }\n}\n\nfunction getPhysicalTextureForRendering(isPacked: boolean):\n    PhysicalTextureType {\n  if (env().getBool('WEBGL_RENDER_FLOAT32_ENABLED')) {\n    if (isPacked) {\n      return PhysicalTextureType.PACKED_2X2_FLOAT32;\n    }\n    return PhysicalTextureType.UNPACKED_FLOAT32;\n  }\n\n  if (isPacked) {\n    return PhysicalTextureType.PACKED_2X2_FLOAT16;\n  }\n  return PhysicalTextureType.UNPACKED_FLOAT16;\n}\n\nfunction getPhysicalFromLogicalTextureType(\n    logicalTexType: TextureUsage, isPacked: boolean): PhysicalTextureType {\n  if (logicalTexType === TextureUsage.UPLOAD) {\n    return PhysicalTextureType.PACKED_2X2_FLOAT32;\n  } else if (logicalTexType === TextureUsage.RENDER || logicalTexType == null) {\n    return getPhysicalTextureForRendering(isPacked);\n  } else if (\n      logicalTexType === TextureUsage.DOWNLOAD ||\n      logicalTexType === TextureUsage.PIXELS) {\n    return PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE;\n  }\n  throw new Error(`Unknown logical texture type ${logicalTexType}`);\n}\n\nfunction getKeyFromTextureShape(\n    shapeRowsCol: [number, number], physicalTexType: PhysicalTextureType,\n    isPacked: boolean): string {\n  return `${shapeRowsCol[0]}_${shapeRowsCol[1]}_${physicalTexType}_${isPacked}`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TileProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], reps: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[i] * reps[i];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const sourceCoords = getSourceCoords(aShape);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        setOutput(getA(${sourceCoords}));\n      }\n    `;\n  }\n}\n\nfunction getSourceCoords(aShape: number[]): string {\n  const rank = aShape.length;\n  if (rank > 5) {\n    throw Error(`Tile for rank ${rank} is not yet supported`);\n  }\n  if (rank === 1) {\n    return `imod(resRC, ${aShape[0]})`;\n  }\n\n  const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w', 'resRC.u'];\n\n  const sourceCoords = [];\n  for (let i = 0; i < aShape.length; i++) {\n    sourceCoords.push(`imod(${currentCoords[i]}, ${aShape[i]})`);\n  }\n  return sourceCoords.join();\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TransposeProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], newDim: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[newDim[i]];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const switched = getSwitchedCoords(newDim);\n\n    this.userCode = `\n    void main() {\n      ${dtype} resRC = getOutputCoords();\n      setOutput(getA(${switched}));\n    }\n    `;\n  }\n}\n\nfunction getSwitchedCoords(newDim: number[]): string {\n  const rank = newDim.length;\n  if (rank > 6) {\n    throw Error(`Transpose for rank ${rank} is not yet supported`);\n  }\n  const originalOrder =\n      ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w', 'resRC.u', 'resRC.v'];\n  const switchedCoords = new Array(rank);\n  for (let i = 0; i < newDim.length; i++) {\n    switchedCoords[newDim[i]] = originalOrder[i];\n  }\n  return switchedCoords.join();\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getVecChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TransposePackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(aShape: number[], newDim: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[newDim[i]];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    if (this.rank > 6) {\n      throw Error(\n          `Packed transpose for rank ${this.rank} is not yet supported.`);\n    }\n    const dtype = getCoordsDataType(this.rank);\n\n    const outputOrder = getVecChannels('rc', this.rank);\n    const switchedOrder = new Array(this.rank);\n    for (let i = 0; i < newDim.length; i++) {\n      switchedOrder[newDim[i]] = outputOrder[i];\n    }\n    const innerDims = `vec2(${switchedOrder.slice(-2).join()})`;\n    const nextColumn =\n        `++${outputOrder[this.rank - 1]} < ${outputShape[this.rank - 1]}`;\n    const getc = `getChannel(getA(${switchedOrder.join()}), ${innerDims})`;\n\n    this.userCode = `\n    void main() {\n      ${dtype} rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ${getc};\n      if(${nextColumn}) {\n        result[1] = ${getc};\n      }\n      --${outputOrder[this.rank - 1]};\n      if(++${outputOrder[this.rank - 2]} < ${outputShape[this.rank - 2]}) {\n        result[2] = ${getc};\n        if(${nextColumn}) {\n          result[3] = ${getc};\n        }\n      }\n      setOutput(result);\n    }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const SELU_SCALEALPHA = 1.7580993408473768599402175208123;\nexport const SELU_SCALE = 1.0507009873554804934193349852946;\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as erf_util from '../../ops/erf_util';\nimport * as selu_util from '../../ops/selu_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class UnaryOpProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(aShape: number[], opSnippet: string) {\n    this.outputShape = aShape;\n    this.userCode = `\n      float unaryOperation(float x) {\n        ${opSnippet}\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    `;\n  }\n}\n\nconst CHECK_NAN_SNIPPET = `if (isnan(x)) return x;`;\n\nexport const LINEAR = `return x;`;\n\nexport const ABS = `return abs(x);`;\n\nexport const RELU = CHECK_NAN_SNIPPET + `\n  return (x < 0.0) ? 0.0 : x;\n`;\n\nexport const RELU6 = CHECK_NAN_SNIPPET + `\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n`;\n\nexport const ELU = `return (x >= 0.0) ? x : (exp(x) - 1.0);`;\n\nexport const SELU = `\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = ${selu_util.SELU_SCALEALPHA};\n  float scale = ${selu_util.SELU_SCALE};\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`;\n\nexport function STEP(alpha = 0.0) {\n  return CHECK_NAN_SNIPPET + `\n    return x > 0.0 ? 1.0 : float(${alpha});\n  `;\n}\n\nexport const NEG = `return -x;`;\n\nexport const CEIL = `return ceil(x);`;\n\nexport const FLOOR = `return floor(x);`;\n\nexport const SIGN = `\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n`;\n\nexport const IS_NAN = `return float(isnan(x));`;\n\nexport const IS_INF = `return float(isinf(x));`;\n\nexport const IS_FINITE = `return float(!isnan(x) && !isinf(x));`;\n\nexport const ROUND = `\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n`;\n\nexport const EXP = `return exp(x);`;\n\nexport const EXPM1 = `return exp(x) - 1.0;`;\n\nexport const LOG = `if (x < 0.0) return NAN;\n  return log(x);`;\n\nexport const LOG1P = `return log(1.0 + x);`;\n\nexport const SQRT = `return sqrt(x);`;\n\nexport const RSQRT = `return inversesqrt(x);`;\n\nexport const SIGMOID = `return 1.0 / (1.0 + exp(-1.0 * x));`;\n\n/**\n * mirrors the implementation of tf.nn.softplus: https://goo.gl/vkcvwX\n *\n * epsilon is the difference between 1.0 and the next representable\n * float. For a single precision 32 bit float this should be 2^-23, see:\n * https://math.byu.edu/~schow/work/IEEEFloatingPoint.htm\n *\n * too_large = (x > -threshold) is value above which exp(x) may overflow\n * but softplus(x) == x is within machine epsilon\n *\n * too_small = (x < threshold) is value below which exp(x) may underflow,\n * but softplus(x) == exp(x) is within machine epsilon.\n */\nexport const SOFTPLUS = `\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n`;\n\nexport const SIN = CHECK_NAN_SNIPPET + `\n  return sin(x);\n`;\n\nexport const COS = CHECK_NAN_SNIPPET + `\n  return cos(x);\n`;\n\nexport const TAN = `return tan(x);`;\n\nexport const ASIN = CHECK_NAN_SNIPPET + `\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n`;\n\nexport const ACOS = CHECK_NAN_SNIPPET + `\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n`;\n\nexport const ATAN = CHECK_NAN_SNIPPET + `\n  return atan(x);\n`;\n\nexport const SINH = `\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n`;\n\nexport const COSH = `\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n`;\n\nexport const TANH = `\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`;\n\nexport const ASINH = CHECK_NAN_SNIPPET + `return log(x + sqrt(x * x + 1.0));`;\n\nexport const ACOSH = CHECK_NAN_SNIPPET + `\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));`;\n\nexport const ATANH = CHECK_NAN_SNIPPET + `\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;`;\n\nexport const ERF = `\n  // Error function is calculated approximately with elementary function.\n  // See \"Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n  float p = ${erf_util.ERF_P};\n  float a1 = ${erf_util.ERF_A1};\n  float a2 = ${erf_util.ERF_A2};\n  float a3 = ${erf_util.ERF_A3};\n  float a4 = ${erf_util.ERF_A4};\n  float a5 = ${erf_util.ERF_A5};\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`;\n\nexport const SQUARE = `return x * x;`;\n\nexport const RECIPROCAL = `return 1.0 / x;`;\n\nexport const LOGICAL_NOT = `return float(!(x >= 1.0));`;\n\nexport const TO_INT = `return float(int(x));`;\n\nexport const CLONE = 'return x;';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport const LINEAR = `return x;`;\n\nexport const LOG = `\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n`;\n\nexport const RELU = `\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n`;\n\nexport const RELU6 = `\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n`;\n\nexport const ELU = `\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n`;\n\nexport class UnaryOpPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(aShape: number[], opSnippet: string) {\n    this.outputShape = aShape;\n    this.userCode = `\n      vec4 unaryOperation(vec4 x) {\n        ${opSnippet}\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels, getSourceCoords} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class UnpackProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = false;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(outputShape: number[]) {\n    this.outputShape = outputShape;\n    const rank = outputShape.length;\n\n    const channels = getChannels('rc', rank);\n    const dtype = getCoordsDataType(rank);\n    const sourceCoords = getSourceCoords(rank, channels);\n    const innerDims = channels.slice(-2);\n    const coords = rank <= 1 ? 'rc' : `vec2(${innerDims.join(',')})`;\n\n    this.userCode = `\n      void main() {\n        ${dtype} rc = getOutputCoords();\n        vec4 packedInput = getA(${sourceCoords});\n\n        setOutput(getChannel(packedInput, ${coords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// Import webgl flags.\nimport './flags_webgl';\n\nimport * as device_util from '../../device_util';\nimport {ENGINE, MemoryInfo, TimingInfo} from '../../engine';\nimport {env} from '../../environment';\nimport {tidy} from '../../globals';\nimport {TensorInfo} from '../../kernel_registry';\nimport {warn} from '../../log';\nimport {buffer} from '../../ops/array_ops';\nimport * as array_ops_util from '../../ops/array_ops_util';\nimport * as axis_util from '../../ops/axis_util';\nimport {complex, imag, real} from '../../ops/complex_ops';\nimport {computeOutShape} from '../../ops/concat_util';\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {Activation, FusedBatchMatMulConfig, FusedConv2DConfig} from '../../ops/fused_util';\nimport * as gather_nd_util from '../../ops/gather_nd_util';\nimport * as reduce_util from '../../ops/reduce_util';\nimport * as scatter_nd_util from '../../ops/scatter_nd_util';\nimport * as segment_util from '../../ops/segment_util';\nimport * as slice_util from '../../ops/slice_util';\nimport {softmax} from '../../ops/softmax';\nimport {range, scalar, tensor} from '../../ops/tensor_ops';\nimport {DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../../tensor';\nimport {BackendValues, DataType, DataTypeMap, NumericDataType, Rank, RecursiveArray, ShapeMap, sumOutType, TypedArray, upcastType} from '../../types';\nimport * as util from '../../util';\nimport {getArrayFromDType, getTypedArrayFromDType, inferDtype, sizeFromShape} from '../../util';\nimport {DataStorage, EPSILON_FLOAT16, EPSILON_FLOAT32, KernelBackend} from '../backend';\nimport * as backend_util from '../backend_util';\nimport {mergeRealAndImagArrays} from '../complex_util';\nimport {nonMaxSuppressionV3} from '../non_max_suppression_impl';\nimport {split} from '../split_shared';\nimport {tile} from '../tile_impl';\nimport {topkImpl} from '../topk_impl';\nimport {whereImpl} from '../where_impl';\n\nimport {AddNProgram} from './addn_gpu';\nimport {AddNPackedProgram} from './addn_packed_gpu';\nimport {ArgMinMaxProgram} from './argminmax_gpu';\nimport {ArgMinMaxPackedProgram} from './argminmax_packed_gpu';\nimport {AvgPool2DBackpropProgram, AvgPool3DBackpropProgram} from './avg_pool_backprop_gpu';\nimport {BatchNormProgram} from './batchnorm_gpu';\nimport {BatchNormPackedProgram} from './batchnorm_packed_gpu';\nimport * as binaryop_complex_gpu from './binaryop_complex_gpu';\nimport {BinaryOpComplexProgram} from './binaryop_complex_gpu';\nimport * as binaryop_gpu from './binaryop_gpu';\nimport {BinaryOpProgram} from './binaryop_gpu';\nimport * as binaryop_packed_gpu from './binaryop_packed_gpu';\nimport {BinaryOpPackedProgram} from './binaryop_packed_gpu';\nimport {getWebGLContext} from './canvas_util';\nimport {ClipProgram} from './clip_gpu';\nimport {ClipPackedProgram} from './clip_packed_gpu';\nimport {ComplexAbsProgram} from './complex_abs_gpu';\nimport {ConcatProgram} from './concat_gpu';\nimport {ConcatPackedProgram} from './concat_packed_gpu';\nimport {Conv2DDerFilterProgram, Conv2DDerInputProgram, Conv3DDerFilterProgram, Conv3DDerInputProgram} from './conv_backprop_gpu';\nimport {DepthwiseConv2DDerFilterProgram, DepthwiseConv2DDerInputProgram} from './conv_backprop_gpu_depthwise';\nimport {Conv2DProgram, Conv3DProgram} from './conv_gpu';\nimport {DepthwiseConv2DProgram} from './conv_gpu_depthwise';\nimport {DepthwiseConvPacked2DProgram} from './conv_packed_gpu_depthwise';\nimport {CropAndResizeProgram} from './crop_and_resize_gpu';\nimport {CumSumProgram} from './cumsum_gpu';\nimport {DecodeMatrixProgram} from './decode_matrix_gpu';\nimport {DecodeMatrixPackedProgram} from './decode_matrix_packed_gpu';\nimport {DepthToSpaceProgram} from './depth_to_space_gpu';\nimport {DiagProgram} from './diag_gpu';\nimport {EncodeFloatProgram} from './encode_float_gpu';\nimport {EncodeFloatPackedProgram} from './encode_float_packed_gpu';\nimport {EncodeMatrixProgram} from './encode_matrix_gpu';\nimport {EncodeMatrixPackedProgram} from './encode_matrix_packed_gpu';\nimport * as fft_gpu from './fft_gpu';\nimport {FFTProgram} from './fft_gpu';\nimport {FillProgram} from './fill_gpu';\nimport {GatherProgram} from './gather_gpu';\nimport {GatherNDProgram} from './gather_nd_gpu';\nimport {GPGPUContext} from './gpgpu_context';\nimport * as gpgpu_math from './gpgpu_math';\nimport {GPGPUBinary, GPGPUProgram, TensorData} from './gpgpu_math';\nimport {Im2ColPackedProgram} from './im2col_packed_gpu';\nimport {LRNProgram} from './lrn_gpu';\nimport {LRNGradProgram} from './lrn_grad_gpu';\nimport {LRNPackedProgram} from './lrn_packed_gpu';\nimport {MaxPool2DBackpropProgram, MaxPool3DBackpropProgram} from './max_pool_backprop_gpu';\nimport {MatMulPackedProgram} from './mulmat_packed_gpu';\nimport {MultinomialProgram} from './multinomial_gpu';\nimport {OneHotProgram} from './onehot_gpu';\nimport {PackProgram} from './pack_gpu';\nimport {PadProgram} from './pad_gpu';\nimport {PadPackedProgram} from './pad_packed_gpu';\nimport {Pool2DProgram, Pool3DProgram} from './pool_gpu';\nimport {ReduceProgram} from './reduce_gpu';\nimport {ReshapePackedProgram} from './reshape_packed_gpu';\nimport {ResizeBilinearBackpropProgram} from './resize_bilinear_backprop_gpu';\nimport {ResizeBilinearProgram} from './resize_bilinear_gpu';\nimport {ResizeBilinearPackedProgram} from './resize_bilinear_packed_gpu';\nimport {ResizeNearestNeigborBackpropProgram} from './resize_nearest_neighbor_backprop_gpu';\nimport {ResizeNearestNeighborProgram} from './resize_nearest_neighbor_gpu';\nimport {ReverseProgram} from './reverse_gpu';\nimport {ReversePackedProgram} from './reverse_packed_gpu';\nimport {ScatterProgram} from './scatter_gpu';\nimport {SegmentOpProgram} from './segment_gpu';\nimport {SelectProgram} from './select_gpu';\nimport {SliceProgram} from './slice_gpu';\nimport {SlicePackedProgram} from './slice_packed_gpu';\nimport {StridedSliceProgram} from './strided_slice_gpu';\nimport * as tex_util from './tex_util';\nimport {TextureData, TextureUsage} from './tex_util';\nimport {TextureManager} from './texture_manager';\nimport {TileProgram} from './tile_gpu';\nimport {TransposeProgram} from './transpose_gpu';\nimport {TransposePackedProgram} from './transpose_packed_gpu';\nimport * as unary_op from './unaryop_gpu';\nimport {UnaryOpProgram} from './unaryop_gpu';\nimport * as unary_packed_op from './unaryop_packed_gpu';\nimport {UnaryOpPackedProgram} from './unaryop_packed_gpu';\nimport {UnpackProgram} from './unpack_gpu';\nimport * as webgl_util from './webgl_util';\n\ntype KernelInfo = {\n  name: string; query: Promise<number>;\n};\n\nexport type TimerNode = RecursiveArray<KernelInfo>|KernelInfo;\nexport interface CPUTimerQuery {\n  startMs: number;\n  endMs?: number;\n}\n\nexport interface WebGLMemoryInfo extends MemoryInfo {\n  numBytesInGPU: number;\n  unreliable: boolean;\n}\n\nexport interface WebGLTimingInfo extends TimingInfo {\n  uploadWaitMs: number;\n  downloadWaitMs: number;\n}\n\nconst binaryCaches: {[webGLVersion: string]: {[key: string]: GPGPUBinary}} = {};\n\nexport function getBinaryCache(webGLVersion: number) {\n  if (webGLVersion in binaryCaches) {\n    return binaryCaches[webGLVersion];\n  }\n  binaryCaches[webGLVersion] = {};\n  return binaryCaches[webGLVersion];\n}\n\nfunction mapActivationToShaderProgram(\n    activation: Activation, packed = false): string {\n  if (activation === 'linear') {\n    if (packed) {\n      return unary_packed_op.LINEAR;\n    }\n    return unary_op.LINEAR;\n  } else if (activation === 'relu') {\n    if (packed) {\n      return unary_packed_op.RELU;\n    }\n    return unary_op.RELU;\n  } else if (activation === 'elu') {\n    if (packed) {\n      return unary_packed_op.ELU;\n    }\n    return unary_op.ELU;\n  } else if (activation === 'relu6') {\n    if (packed) {\n      return unary_packed_op.RELU6;\n    }\n    return unary_op.RELU6;\n  } else if (activation === 'prelu') {\n    if (packed) {\n      return binaryop_packed_gpu.PRELU;\n    }\n    return binaryop_gpu.PRELU;\n  }\n  throw new Error(`Activation ${\n      activation} has not been implemented for the WebGL backend.`);\n}\n\n// Empirically determined constant used to determine size threshold for handing\n// off execution to the CPU.\nconst CPU_HANDOFF_SIZE_THRESHOLD = 128;\n\n// Empirically determined constant used to decide the number of MB on GPU\n// before we warn about high memory use. The MB are this constant * screen area\n// * dpi / 1024 / 1024.\nconst BEFORE_PAGING_CONSTANT = 600;\nfunction numMBBeforeWarning(): number {\n  if (env().global.screen == null) {\n    return 1024;  // 1 GB.\n  }\n  return (env().global.screen.height * env().global.screen.width *\n          window.devicePixelRatio) *\n      BEFORE_PAGING_CONSTANT / 1024 / 1024;\n}\n\n// Empirically determined minimal shared dimension in matmul before we forward\n// to a.mul(b).sum() in order to take advantage of GPU parallelism. See\n// https://github.com/tensorflow/tfjs-core/pull/1379 for benchmarks.\nexport const MATMUL_SHARED_DIM_THRESHOLD = 1000;\n\nexport class MathBackendWebGL extends KernelBackend {\n  texData: DataStorage<TextureData>;\n  gpgpu: GPGPUContext;\n\n  // Maps data ids that have a pending read operation, to list of subscribers.\n  private pendingRead = new WeakMap<DataId, Array<(arr: TypedArray) => void>>();\n  // List of data ids that are scheduled for disposal, but are waiting on a\n  // pending read operation.\n  private pendingDisposal = new WeakSet<DataId>();\n  // Used to count the number of 'shallow' sliced tensors that point to the\n  // same data id.\n  private dataRefCount = new WeakMap<DataId, number>();\n  private numBytesInGPU = 0;\n\n  private canvas: HTMLCanvasElement|OffscreenCanvas;\n\n  private programTimersStack: TimerNode[];\n  private activeTimers: TimerNode[];\n  // Accumulated time spent (including blocking) in uploading data to webgl.\n  private uploadWaitMs = 0;\n  // Accumulated time spent (including blocking in downloading data from webgl.\n  private downloadWaitMs = 0;\n  private cpuBackend: KernelBackend;\n\n  // Number of bits of precision of this backend.\n  private floatPrecisionValue: 32|16;\n\n  private textureManager: TextureManager;\n  private binaryCache: {[key: string]: GPGPUBinary};\n  private gpgpuCreatedLocally: boolean;\n  private numMBBeforeWarning: number;\n  private warnedAboutMemory = false;\n\n  constructor(gpgpu?: GPGPUContext) {\n    super();\n    if (!env().getBool('HAS_WEBGL')) {\n      throw new Error('WebGL is not supported on this device');\n    }\n\n    if (gpgpu == null) {\n      const gl = getWebGLContext(env().getNumber('WEBGL_VERSION'));\n      this.binaryCache = getBinaryCache(env().getNumber('WEBGL_VERSION'));\n      this.gpgpu = new GPGPUContext(gl);\n      this.canvas = gl.canvas;\n      this.gpgpuCreatedLocally = true;\n    } else {\n      this.gpgpu = gpgpu;\n      this.binaryCache = {};\n      this.gpgpuCreatedLocally = false;\n      this.canvas = gpgpu.gl.canvas;\n    }\n    this.textureManager = new TextureManager(this.gpgpu);\n    this.numMBBeforeWarning = numMBBeforeWarning();\n\n    this.texData = new DataStorage(this, ENGINE);\n  }\n\n  numDataIds() {\n    return this.texData.numDataIds() +\n        (this.cpuBackend ? this.cpuBackend.numDataIds() : 0) -\n        this.pendingDeletes;\n  }\n\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    if (env().getBool('DEBUG')) {\n      this.checkNumericalProblems(values);\n    }\n    if (dtype === 'complex64' && values != null) {\n      throw new Error(\n          `Cannot write to a complex64 dtype. ` +\n          `Please use tf.complex(real, imag).`);\n    }\n    const dataId = {};\n    this.texData.set(\n        dataId, {shape, dtype, values, usage: TextureUsage.UPLOAD});\n    return dataId;\n  }\n\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    if (env().getBool('DEBUG')) {\n      this.checkNumericalProblems(values);\n    }\n    if (dtype === 'complex64') {\n      throw new Error(\n          `Cannot write to a complex64 dtype. ` +\n          `Please use tf.complex(real, imag).`);\n    }\n    this.texData.set(\n        dataId, {shape, dtype, values, usage: TextureUsage.UPLOAD});\n  }\n\n  readSync(dataId: DataId): BackendValues {\n    const texData = this.texData.get(dataId);\n    const {values, dtype, complexTensors, slice, shape, isPacked} = texData;\n    if (slice != null) {\n      let program;\n      if (isPacked) {\n        program = new UnaryOpPackedProgram(shape, unary_op.CLONE);\n      } else {\n        program = new UnaryOpProgram(shape, unary_op.CLONE);\n      }\n      const res =\n          this.runWebGLProgram(program, [{dataId, shape, dtype}], dtype);\n      const data = this.readSync(res.dataId);\n      this.disposeData(res.dataId);\n      return data;\n    }\n    if (values != null) {\n      return this.convertAndCacheOnCPU(dataId);\n    }\n    if (dtype === 'string') {\n      return values;\n    }\n    const shouldTimeProgram = this.activeTimers != null;\n    let start: number;\n    if (shouldTimeProgram) {\n      start = util.now();\n    }\n\n    let result: Float32Array;\n    if (dtype === 'complex64') {\n      const realValues = complexTensors.real.dataSync() as Float32Array;\n      const imagValues = complexTensors.imag.dataSync() as Float32Array;\n      result = mergeRealAndImagArrays(realValues, imagValues);\n    } else {\n      result = this.getValuesFromTexture(dataId);\n    }\n\n    if (shouldTimeProgram) {\n      this.downloadWaitMs += util.now() - start;\n    }\n    return this.convertAndCacheOnCPU(dataId, result);\n  }\n\n  async read(dataId: DataId): Promise<BackendValues> {\n    if (this.pendingRead.has(dataId)) {\n      const subscribers = this.pendingRead.get(dataId);\n      return new Promise<TypedArray>(resolve => subscribers.push(resolve));\n    }\n    const texData = this.texData.get(dataId);\n    const {values, shape, slice, dtype, complexTensors, isPacked} = texData;\n\n    if (slice != null) {\n      let program;\n      if (isPacked) {\n        program = new UnaryOpPackedProgram(shape, unary_op.CLONE);\n      } else {\n        program = new UnaryOpProgram(shape, unary_op.CLONE);\n      }\n      const res =\n          this.runWebGLProgram(program, [{dataId, shape, dtype}], dtype);\n      const data = this.read(res.dataId);\n      this.disposeData(res.dataId);\n      return data;\n    }\n\n    if (values != null) {\n      return this.convertAndCacheOnCPU(dataId);\n    }\n\n    if (!env().getBool('WEBGL_DOWNLOAD_FLOAT_ENABLED') &&\n        env().getNumber('WEBGL_VERSION') === 2) {\n      throw new Error(\n          `tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and ` +\n          `WEBGL_VERSION=2 not yet supported.`);\n    }\n\n    let buffer = null;\n    let tmpDownloadTarget: TensorInfo;\n\n    if (dtype !== 'complex64' && env().get('WEBGL_BUFFER_SUPPORTED')) {\n      // Possibly copy the texture into a buffer before inserting a fence.\n      tmpDownloadTarget = this.decode(dataId);\n      const tmpData = this.texData.get(tmpDownloadTarget.dataId);\n\n      buffer = this.gpgpu.createBufferFromTexture(\n          tmpData.texture, ...tex_util.getDenseTexShape(shape));\n    }\n\n    this.pendingRead.set(dataId, []);\n\n    if (dtype !== 'complex64') {\n      // Create a fence and wait for it to resolve.\n      await this.gpgpu.createAndWaitForFence();\n    }\n\n    // Download the values from the GPU.\n    let vals: Float32Array;\n    if (dtype === 'complex64') {\n      const ps = await Promise.all(\n          [complexTensors.real.data(), complexTensors.imag.data()]);\n      const realValues = ps[0];\n      const imagValues = ps[1];\n      vals = mergeRealAndImagArrays(\n          realValues as Float32Array, imagValues as Float32Array);\n    } else if (buffer == null) {\n      vals = this.getValuesFromTexture(dataId);\n    } else {\n      const size = util.sizeFromShape(shape);\n      vals = this.gpgpu.downloadFloat32MatrixFromBuffer(buffer, size);\n    }\n    if (tmpDownloadTarget != null) {\n      this.disposeData(tmpDownloadTarget.dataId);\n    }\n    const dTypeVals = this.convertAndCacheOnCPU(dataId, vals);\n\n    const subscribers = this.pendingRead.get(dataId);\n    this.pendingRead.delete(dataId);\n\n    // Notify all pending reads.\n    subscribers.forEach(resolve => resolve(dTypeVals));\n    if (this.pendingDisposal.has(dataId)) {\n      this.pendingDisposal.delete(dataId);\n      this.disposeData(dataId);\n      this.pendingDeletes--;\n    }\n    return dTypeVals;\n  }\n\n  private checkNumericalProblems(values: BackendValues): void {\n    if (values == null) {\n      return;\n    }\n    for (let i = 0; i < values.length; i++) {\n      const num = values[i] as number;\n      if (!webgl_util.canBeRepresented(num)) {\n        if (env().getBool('WEBGL_RENDER_FLOAT32_CAPABLE')) {\n          throw Error(\n              `The value ${num} cannot be represented with your ` +\n              `current settings. Consider enabling float32 rendering: ` +\n              `'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'`);\n        }\n        throw Error(`The value ${num} cannot be represented on this device.`);\n      }\n    }\n  }\n\n  private getValuesFromTexture(dataId: DataId): Float32Array {\n    const {shape, dtype, isPacked} = this.texData.get(dataId);\n    const size = util.sizeFromShape(shape);\n    if (env().getBool('WEBGL_DOWNLOAD_FLOAT_ENABLED')) {\n      const tmpTarget = this.decode(dataId);\n      const tmpData = this.texData.get(tmpTarget.dataId);\n      const vals = this.gpgpu\n                       .downloadMatrixFromPackedTexture(\n                           tmpData.texture, ...tex_util.getDenseTexShape(shape))\n                       .subarray(0, size);\n\n      this.disposeData(tmpTarget.dataId);\n\n      return vals;\n    }\n\n    const shouldUsePackedProgram =\n        env().getBool('WEBGL_PACK') && isPacked === true;\n    const outputShape =\n        shouldUsePackedProgram ? webgl_util.getShapeAs3D(shape) : shape;\n    const program = shouldUsePackedProgram ?\n        new EncodeFloatPackedProgram(outputShape as [number, number, number]) :\n        new EncodeFloatProgram(outputShape);\n    const output = this.runWebGLProgram(\n        program, [{shape: outputShape, dtype, dataId}], 'float32');\n    const tmpData = this.texData.get(output.dataId);\n    const vals =\n        this.gpgpu\n            .downloadByteEncodedFloatMatrixFromOutputTexture(\n                tmpData.texture, tmpData.texShape[0], tmpData.texShape[1])\n            .subarray(0, size);\n    this.disposeData(output.dataId);\n\n    return vals;\n  }\n\n  async time(f: () => void): Promise<WebGLTimingInfo> {\n    const oldActiveTimers = this.activeTimers;\n    const newActiveTimers: TimerNode[] = [];\n\n    let outerMostTime = false;\n    if (this.programTimersStack == null) {\n      this.programTimersStack = newActiveTimers;\n      outerMostTime = true;\n    } else {\n      this.activeTimers.push(newActiveTimers);\n    }\n    this.activeTimers = newActiveTimers;\n\n    f();\n\n    // needing to split these up because util.flatten only accepts certain types\n    const flattenedActiveTimerQueries =\n        util.flatten(this.activeTimers.map((d: KernelInfo) => d.query))\n            .filter(d => d != null);\n    const flattenedActiveTimerNames =\n        util.flatten(this.activeTimers.map((d: KernelInfo) => d.name))\n            .filter(d => d != null);\n\n    this.activeTimers = oldActiveTimers;\n\n    if (outerMostTime) {\n      this.programTimersStack = null;\n    }\n\n    const kernelMs = await Promise.all(flattenedActiveTimerQueries);\n\n    const res: WebGLTimingInfo = {\n      uploadWaitMs: this.uploadWaitMs,\n      downloadWaitMs: this.downloadWaitMs,\n      kernelMs: util.sum(kernelMs),\n      getExtraProfileInfo: () =>\n          kernelMs.map((d, i) => ({name: flattenedActiveTimerNames[i], ms: d}))\n              .map(d => `${d.name}: ${d.ms}`)\n              .join(', '),\n      wallMs: null  // will be filled by the engine\n    };\n    this.uploadWaitMs = 0;\n    this.downloadWaitMs = 0;\n    return res;\n  }\n  memory(): WebGLMemoryInfo {\n    return {unreliable: false, numBytesInGPU: this.numBytesInGPU} as\n        WebGLMemoryInfo;\n  }\n\n  private startTimer(): WebGLQuery|CPUTimerQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0) {\n      return this.gpgpu.beginQuery();\n    }\n    return {startMs: util.now(), endMs: null};\n  }\n\n  private endTimer(query: WebGLQuery|CPUTimerQuery): WebGLQuery|CPUTimerQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0) {\n      this.gpgpu.endQuery();\n      return query;\n    }\n    (query as CPUTimerQuery).endMs = util.now();\n    return query;\n  }\n\n  private async getQueryTime(query: WebGLQuery|CPUTimerQuery): Promise<number> {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0) {\n      return this.gpgpu.waitForQueryAndGetTime(query as WebGLQuery);\n    }\n    const timerQuery = query as CPUTimerQuery;\n    return timerQuery.endMs - timerQuery.startMs;\n  }\n\n  private pendingDeletes = 0;\n\n  disposeData(dataId: DataId): void {\n    if (this.pendingDisposal.has(dataId)) {\n      return;\n    }\n    if (this.pendingRead.has(dataId)) {\n      this.pendingDisposal.add(dataId);\n      this.pendingDeletes++;\n      return;\n    }\n    // No-op if already disposed.\n    if (!this.texData.has(dataId)) {\n      return;\n    }\n\n    this.releaseGPUData(dataId);\n    const {complexTensors} = this.texData.get(dataId);\n    if (complexTensors != null) {\n      complexTensors.real.dispose();\n      complexTensors.imag.dispose();\n    }\n    this.texData.delete(dataId);\n  }\n\n  private releaseGPUData(dataId: DataId): void {\n    const {texture, dtype, texShape, usage, isPacked, slice} =\n        this.texData.get(dataId);\n    const key = slice && slice.origDataId || dataId;\n    const refCount = this.dataRefCount.get(key);\n    if (refCount > 1) {\n      this.dataRefCount.set(key, refCount - 1);\n    } else {\n      this.dataRefCount.delete(key);\n      if (texture != null) {\n        this.numBytesInGPU -= this.computeBytes(texShape, dtype);\n        this.textureManager.releaseTexture(texture, texShape, usage, isPacked);\n      }\n    }\n    const texData = this.texData.get(dataId);\n    texData.texture = null;\n    texData.texShape = null;\n    texData.isPacked = false;\n    texData.slice = null;\n  }\n\n  getTexture(dataId: DataId): WebGLTexture {\n    this.uploadToGPU(dataId);\n    return this.texData.get(dataId).texture;\n  }\n\n  /**\n   * Returns internal information for the specific data bucket. Used in unit\n   * tests.\n   */\n  getDataInfo(dataId: DataId): TextureData {\n    return this.texData.get(dataId);\n  }\n\n  private getCPUBackend(): KernelBackend|null {\n    if (!env().getBool('WEBGL_CPU_FORWARD')) {\n      return null;\n    }\n\n    if (this.cpuBackend == null) {\n      this.cpuBackend = ENGINE.findBackend('cpu');\n    }\n\n    return this.cpuBackend;\n  }\n\n  /*\n  Tests whether all the inputs to an op are small and on the CPU. This heuristic\n  determines when it would be faster to execute a kernel on the CPU. WebGL\n  kernels opt into running this check and forwarding when appropriate.\n  TODO(https://github.com/tensorflow/tfjs/issues/872): Develop a more\n  sustainable strategy for optimizing backend execution of ops.\n   */\n  private shouldExecuteOnCPU(\n      inputs: Tensor[], sizeThreshold = CPU_HANDOFF_SIZE_THRESHOLD): boolean {\n    return this.getCPUBackend() != null &&\n        inputs.every(\n            input => this.texData.get(input.dataId).texture == null &&\n                input.size < sizeThreshold);\n  }\n\n  getGPGPUContext(): GPGPUContext {\n    return this.gpgpu;\n  }\n\n  complex<T extends Tensor>(real: T, imag: T): T {\n    const result = this.makeOutput(real.shape, 'complex64');\n    const resultData = this.texData.get(result.dataId);\n    // The backend owns the reference to the underlying real and imaginary\n    // clones. These will explicitly get disposed when the complex tensor is\n    // disposed.\n    resultData.complexTensors = {\n      real: ENGINE.keep(real.clone()),\n      imag: ENGINE.keep(imag.clone())\n    };\n\n    return result as T;\n  }\n  real<T extends Tensor>(input: T): T {\n    const resultData = this.texData.get(input.dataId);\n    return resultData.complexTensors.real.clone() as T;\n  }\n  imag<T extends Tensor>(input: T): T {\n    const resultData = this.texData.get(input.dataId);\n    return resultData.complexTensors.imag.clone() as T;\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.slice(x, begin, size);\n    }\n    // Short-circuit computation if the slice is zero-sized.\n    if (util.sizeFromShape(size) === 0) {\n      return tensor([], size, x.dtype) as T;\n    }\n    const {isPacked} = this.texData.get(x.dataId);\n    const isContinous = slice_util.isSliceContinous(x.shape, begin, size);\n    if (isPacked || !isContinous) {\n      const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n          new SlicePackedProgram(size) :\n          new SliceProgram(size);\n      const customSetup = program.getCustomSetupFunc(begin);\n      return this.compileAndRun(program, [x], null, customSetup);\n    }\n    this.uploadToGPU(x.dataId);\n    return this.shallowSlice(x, begin, size) as T;\n  }\n\n  private shallowSlice(x: Tensor, begin: number[], size: number[]): Tensor {\n    const xTexData = this.texData.get(x.dataId);\n    const t = this.makeOutput(size, x.dtype);\n    const newTexData = this.texData.get(t.dataId);\n    // Copy texture data from the original tensor.\n    Object.assign(newTexData, xTexData);\n    newTexData.shape = size;\n    newTexData.dtype = x.dtype;\n    let flatOffset = slice_util.computeFlatOffset(begin, x.strides);\n    if (xTexData.slice) {\n      // We are slicing an already sliced tensor, so we have to accumulate\n      // the offset.\n      flatOffset += xTexData.slice.flatOffset;\n    }\n    newTexData.slice = {\n      flatOffset,\n      // Point to the original dataId, which is used to do ref counting.\n      origDataId: xTexData.slice && xTexData.slice.origDataId || x.dataId\n    };\n\n    // Increase the ref count for that data bucket.\n    const refCount = this.dataRefCount.get(newTexData.slice.origDataId) || 1;\n    this.dataRefCount.set(newTexData.slice.origDataId, refCount + 1);\n\n    return t;\n  }\n\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.stridedSlice(x, begin, end, strides);\n    }\n\n    const outShape = slice_util.computeOutShape(begin, end, strides);\n\n    if (outShape.some(axis => axis === 0)) {\n      return tensor([], outShape) as T;\n    }\n\n    const program = new StridedSliceProgram(begin, strides, outShape);\n    return this.compileAndRun(program, [x]);\n  }\n\n  reverse<T extends Tensor>(x: T, axis: number[]): T {\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new ReversePackedProgram(x.shape, axis) :\n        new ReverseProgram(x.shape, axis);\n    return this.compileAndRun(program, [x]);\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    if (tensors[0].dtype === 'complex64') {\n      const reals = tensors.map((t) => real(t));\n      const imags = tensors.map((t) => imag(t));\n      return complex(this.concat(reals, axis), this.concat(imags, axis));\n    }\n    if (this.shouldExecuteOnCPU(tensors)) {\n      return this.cpuBackend.concat(tensors, axis);\n    }\n\n    if (tensors.length === 1) {\n      return tensors[0];\n    }\n    if (tensors.length > env().getNumber('WEBGL_MAX_TEXTURES_IN_SHADER')) {\n      const midIndex = Math.floor(tensors.length / 2);\n      const leftSide = this.concat(tensors.slice(0, midIndex), axis);\n      const rightSide = this.concat(tensors.slice(midIndex), axis);\n      return this.concat([leftSide, rightSide], axis);\n    }\n    if (env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') && tensors[0].rank > 1) {\n      const program = new ConcatPackedProgram(tensors.map(t => t.shape), axis);\n      return this.compileAndRun(program, tensors);\n    }\n    // Any concat of n-dimensional tensors across any axis can be reduced to\n    // a concatenation of two-dimensional tensors across the axis 1 by first\n    // partitioning the axes of the original tensors into those less than the\n    // axis to be concatenated and the rest. Then reshape the tensors\n    // into a two-dimensional tensor by collapsing these two sets of axes and\n    // concatenate the resulting matrices across the axis 1, finally reshaping\n    // the result to have the proper shape.\n    const outShape = computeOutShape(tensors.map(t => t.shape), axis);\n    const tensors2D =\n        tensors.map(t => t.as2D(-1, sizeFromShape(t.shape.slice(axis))));\n    const program = new ConcatProgram(tensors2D.map(t => t.shape));\n    const res: Tensor = this.compileAndRun(program, tensors2D);\n    return res.reshape(outShape);\n  }\n\n  neg<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.neg(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.NEG, x.dtype) as T;\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.NEG);\n    return this.compileAndRun(program, [x]);\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    const outerShapeA = transposeA ? a.shape[2] : a.shape[1];\n    const outerShapeB = transposeB ? b.shape[1] : b.shape[2];\n    const sharedDim = transposeA ? a.shape[1] : a.shape[2];\n    const [batch, , ] = a.shape;\n\n    // Since the matrices are vectors, it is faster to call mul().sum()\n    // because sum() is O(sqrt(N)) due to divide-and-conquer.\n    if ((outerShapeA === 1 || outerShapeB === 1) &&\n        sharedDim > MATMUL_SHARED_DIM_THRESHOLD) {\n      if (transposeA) {\n        a = a.transpose([0, 2, 1]);\n      }\n      if (transposeB) {\n        b = b.transpose([0, 2, 1]);\n      }\n\n      const a3D = outerShapeB === 1 ? a : a.as3D(batch, sharedDim, 1);\n      const axis = outerShapeB === 1 ? 2 : 1;\n      const b3D = outerShapeB === 1 ? b.as3D(batch, 1, sharedDim) : b;\n      return this.multiply(a3D, b3D).sum(axis, true /* keepDims */);\n    }\n\n    const dtype = upcastType(a.dtype, b.dtype);\n\n    const program = new MatMulPackedProgram(\n        a.shape, [batch, outerShapeA, outerShapeB], transposeA, transposeB);\n    return this.compileAndRun<Tensor3D>(program, [a, b], dtype);\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    const outerShapeA = transposeA ? a.shape[2] : a.shape[1];\n    const outerShapeB = transposeB ? b.shape[1] : b.shape[2];\n    const [batch, , ] = a.shape;\n\n    const dtype = upcastType(a.dtype, b.dtype);\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, true) : null;\n    const program = new MatMulPackedProgram(\n        a.shape, [batch, outerShapeA, outerShapeB], transposeA, transposeB,\n        hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [a, b];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (preluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    return this.compileAndRun<Tensor3D>(program, inputs, dtype);\n  }\n\n  multiply(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64') {\n      const aData = this.texData.get(a.dataId);\n      const bData = this.texData.get(b.dataId);\n\n      const realProgram = new BinaryOpComplexProgram(\n          binaryop_complex_gpu.COMPLEX_MULTIPLY.REAL, a.shape, b.shape);\n      const imagProgram = new BinaryOpComplexProgram(\n          binaryop_complex_gpu.COMPLEX_MULTIPLY.IMAG, a.shape, b.shape);\n\n      const inputs = [\n        this.makeComplexComponentTensorInfo(a, aData.complexTensors.real),\n        this.makeComplexComponentTensorInfo(a, aData.complexTensors.imag),\n        this.makeComplexComponentTensorInfo(b, bData.complexTensors.real),\n        this.makeComplexComponentTensorInfo(b, bData.complexTensors.imag)\n      ];\n      const real = this.compileAndRun<Tensor>(realProgram, inputs);\n      const imag = this.compileAndRun<Tensor>(imagProgram, inputs);\n\n      const complex = this.complex(real, imag);\n      real.dispose();\n      imag.dispose();\n      return complex;\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.multiply(a, b);\n    }\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.MUL, a.dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.MUL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], a.dtype);\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    const inputs = [x, mean, variance];\n\n    let offsetShape = null;\n    if (offset != null) {\n      offsetShape = offset.shape;\n      inputs.push(offset);\n    }\n\n    let scaleShape = null;\n    if (scale != null) {\n      scaleShape = scale.shape;\n      inputs.push(scale);\n    }\n\n    if (env().getBool('WEBGL_PACK_NORMALIZATION')) {\n      const batchNormPackedProgram = new BatchNormPackedProgram(\n          x.shape, mean.shape, variance.shape, offsetShape, scaleShape,\n          varianceEpsilon);\n      return this.compileAndRun<Tensor4D>(batchNormPackedProgram, inputs);\n    }\n\n    const batchNormProgram = new BatchNormProgram(\n        x.shape, mean.shape, variance.shape, offsetShape, scaleShape,\n        varianceEpsilon);\n    return this.compileAndRun(batchNormProgram, inputs);\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, radius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    const program = env().getBool('WEBGL_PACK_NORMALIZATION') ?\n        new LRNPackedProgram(x.shape, radius, bias, alpha, beta) :\n        new LRNProgram(x.shape, radius, bias, alpha, beta);\n    return this.compileAndRun(program, [x]);\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D,\n      depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    const program =\n        new LRNGradProgram(inputImage.shape, depthRadius, bias, alpha, beta);\n    return this.compileAndRun(program, [inputImage, outputImage, dy]);\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    if (x.dtype === 'string') {\n      const data = this.readSync(x.dataId) as Uint8Array[];\n      const decodedData = data.map(d => util.decodeString(d));\n      const buf = buffer(x.shape, x.dtype, decodedData);\n      return tile(buf, reps) as T;\n    }\n    const program = new TileProgram(x.shape, reps);\n    return this.compileAndRun(program, [x]);\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new PadPackedProgram(x.shape, paddings, constantValue) :\n        new PadProgram(x.shape, paddings, constantValue);\n    return this.compileAndRun(program, [x]);\n  }\n\n  transpose<T extends Tensor>(x: T, perm: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.transpose(x, perm);\n    }\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new TransposePackedProgram(x.shape, perm) :\n        new TransposeProgram(x.shape, perm);\n    return this.compileAndRun(program, [x]);\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    if (this.shouldExecuteOnCPU([x, indices])) {\n      return this.cpuBackend.gather(x, indices, axis);\n    }\n    const program = new GatherProgram(x.shape, indices.size, axis);\n    return this.compileAndRun(program, [x, indices]);\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    util.assert(\n        x.rank <= 4,\n        () => 'batchToSpaceND for rank > 4 with a WebGL backend not ' +\n            'implemented yet');\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const reshaped = array_ops_util.getReshaped(x.shape, blockShape, prod);\n    const permuted =\n        array_ops_util.getPermuted(reshaped.length, blockShape.length);\n    const reshapedPermuted =\n        array_ops_util.getReshapedPermuted(x.shape, blockShape, prod);\n    const sliceBeginCoords =\n        array_ops_util.getSliceBeginCoords(crops, blockShape.length);\n    const sliceSize =\n        array_ops_util.getSliceSize(reshapedPermuted, crops, blockShape.length);\n\n    return x.reshape(reshaped)\n               .transpose(permuted)\n               .reshape(reshapedPermuted)\n               .slice(sliceBeginCoords, sliceSize) as T;\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: Array<[number, number]>): T {\n    util.assert(\n        x.rank <= 4,\n        () => 'spaceToBatchND for rank > 4 with a WebGL backend not ' +\n            'implemented yet');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const completePaddings: Array<[number, number]> = [[0, 0]];\n    completePaddings.push(...paddings);\n    for (let i = 1 + blockShape.length; i < x.shape.length; ++i) {\n      completePaddings.push([0, 0]);\n    }\n\n    const paddedX = x.pad(completePaddings);\n\n    const reshapedPaddedShape =\n        array_ops_util.getReshaped(paddedX.shape, blockShape, prod, false);\n\n    const permutedReshapedPaddedPermutation = array_ops_util.getPermuted(\n        reshapedPaddedShape.length, blockShape.length, false);\n\n    const flattenShape = array_ops_util.getReshapedPermuted(\n        paddedX.shape, blockShape, prod, false);\n\n    return paddedX.reshape(reshapedPaddedShape)\n               .transpose(permutedReshapedPaddedPermutation)\n               .reshape(flattenShape) as T;\n  }\n\n  private reduce(\n      x: Tensor2D, reduceType: 'all'|'any'|'max'|'min'|'sum'|'prod',\n      dtype: DataType): Tensor2D {\n    const batchSize = x.shape[0];\n    const inSize = x.shape[1];\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const reduceInfo = {windowSize, inSize, batchSize};\n    const program = new ReduceProgram(reduceInfo, reduceType);\n    const output = this.compileAndRun<Tensor2D>(program, [x], dtype);\n    // No need to run another GPGPU program.\n    if (output.shape[1] === 1) {\n      return output;\n    }\n    return this.reduce(output, reduceType, dtype);\n  }\n\n  private argReduce(\n      x: Tensor2D, reduceType: 'max'|'min',\n      bestIndicesA: Tensor2D = null): Tensor2D {\n    let batchSize = x.shape[0];\n    let inSize = x.shape[1];\n    if (bestIndicesA != null) {\n      batchSize = bestIndicesA.shape[0];\n      inSize = bestIndicesA.shape[1];\n    }\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const reduceInfo = {windowSize, inSize, batchSize};\n    const program =\n        new ArgMinMaxProgram(reduceInfo, reduceType, bestIndicesA == null);\n    const inputs = [x];\n    if (bestIndicesA != null) {\n      inputs.push(bestIndicesA);\n    }\n    const output = this.compileAndRun<Tensor2D>(program, inputs, 'int32');\n    // No need to run another GPGPU program.\n    if (output.shape[1] === 1) {\n      return output;\n    }\n    return this.argReduce(x, reduceType, output);\n  }\n\n  private argReducePacked(\n      x: Tensor, reduceType: 'max'|'min', bestIndicesA: Tensor = null): Tensor {\n    const inShape = bestIndicesA != null ? bestIndicesA.shape : x.shape;\n    const inSize = inShape[inShape.length - 1];\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const program = new ArgMinMaxPackedProgram(\n        inShape, windowSize, reduceType, bestIndicesA == null);\n    const inputs = bestIndicesA == null ? [x] : [x, bestIndicesA];\n    const output = this.compileAndRun<Tensor>(program, inputs, 'int32');\n    if (output.rank === x.rank) {\n      return this.argReducePacked(x, reduceType, output);\n    }\n    return output;\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('sum', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    return this.reduce(a2D, 'sum', outputDType).reshape(outShape);\n  }\n\n  prod(x: Tensor, axes: number[]): Tensor {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.prod(x, axes);\n    }\n\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    return this.reduce(a2D, 'prod', outputDType).reshape(outShape);\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    let axis = 0;\n    const permutation = axis_util.getAxesPermutation([axis], x.rank);\n    let permutedX = x;\n    if (permutation != null) {\n      permutedX = x.transpose(permutation);\n      axis = axis_util.getInnerMostAxes(1, x.rank)[0];\n    }\n\n    const outShape =\n        segment_util.computeOutShape(permutedX.shape, axis, numSegments);\n    const inSize = util.sizeFromShape([permutedX.shape[axis]]);\n    const a2D = permutedX.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    let result =\n        this.segOpCompute(\n                a2D, 'unsortedSegmentSum', segmentIds, outputDType, numSegments)\n            .reshape(outShape);\n    if (permutation != null) {\n      result = result.transpose(axis_util.getUndoAxesPermutation(permutation));\n    }\n    return result;\n  }\n\n  private segOpCompute(\n      x: Tensor2D, segOpType: 'unsortedSegmentSum', segmentIds: Tensor1D,\n      dtype: DataType, numSegments: number): Tensor2D {\n    const batchSize = x.shape[0];\n    const inSize = x.shape[1];\n    const windowSize =\n        segment_util.segOpComputeOptimalWindowSize(inSize, numSegments);\n    const segOpInfo = {windowSize, inSize, batchSize, numSegments};\n    const program = new SegmentOpProgram(segOpInfo, segOpType);\n    const output =\n        this.compileAndRun<Tensor2D>(program, [x, segmentIds], dtype);\n    // No need to run another GPGPU program.\n    if (output.shape[1] === numSegments) {\n      return output;\n    }\n    segmentIds = range(0, numSegments).tile([inSize / windowSize]);\n    return this.segOpCompute(output, segOpType, segmentIds, dtype, numSegments);\n  }\n\n  private argMinMaxReduce(x: Tensor, axis: number, reduceType: 'min'|'max'):\n      Tensor {\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims(\n        'arg' + reduceType.charAt(0).toUpperCase() + reduceType.slice(1), axes,\n        x.rank);\n    if (!env().getBool('WEBGL_PACK_REDUCE') || x.rank <= 2) {\n      const [outShape, reduceShape] =\n          axis_util.computeOutAndReduceShapes(x.shape, axes);\n      const inSize = util.sizeFromShape(reduceShape);\n      const a2D = x.as2D(-1, inSize);\n      return this.argReduce(a2D, reduceType).reshape(outShape);\n    }\n    return this.argReducePacked(x, reduceType);\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    return this.argMinMaxReduce(x, axis, 'min');\n  }\n\n  argMax(x: Tensor, axis: number): Tensor {\n    return this.argMinMaxReduce(x, axis, 'max');\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    if (axis !== x.rank - 1) {\n      throw new Error(\n          `WebGL cumsum shader expects an inner-most axis=${x.rank - 1} ` +\n          `but got axis=${axis}`);\n    }\n    const program = new CumSumProgram(x.shape, exclusive, reverse);\n    return this.compileAndRun(program, [x]);\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.EQUAL, 'bool');\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.NOT_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.NOT_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.less(a, b);\n    }\n\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LESS, 'bool');\n    }\n\n    const program = new BinaryOpProgram(binaryop_gpu.LESS, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LESS_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LESS_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.greater(a, b);\n    }\n\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.GREATER, 'bool');\n    }\n\n    const program = new BinaryOpProgram(binaryop_gpu.GREATER, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.GREATER_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.GREATER_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  logicalNot<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.LOGICAL_NOT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LOGICAL_AND, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LOGICAL_AND, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LOGICAL_OR, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LOGICAL_OR, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    const program = new SelectProgram(condition.rank, a.shape, a.rank);\n    return this.compileAndRun(\n        program, [condition, a, b], upcastType(a.dtype, b.dtype));\n  }\n\n  where(condition: Tensor): Tensor2D {\n    warn(\n        'tf.where() in webgl locks the UI thread. ' +\n        'Call tf.whereAsync() instead');\n    const condVals = condition.dataSync();\n    return whereImpl(condition.shape, condVals);\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    const xVals = x.dataSync();\n    return topkImpl(xVals, x.shape, x.dtype as NumericDataType, k, sorted);\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('min', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'min', a2D.dtype).reshape(outShape);\n  }\n\n  minimum(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.minimum(a, b);\n    }\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MIN, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MIN, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MOD, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MOD, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.max(x, axes);\n    }\n\n    axis_util.assertAxesAreInnerMostDims('max', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'max', a2D.dtype).reshape(outShape);\n  }\n\n  maximum(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.maximum(a, b);\n    }\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MAX, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MAX, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('all', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'all', a2D.dtype).reshape(outShape);\n  }\n\n  any(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('any', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'any', a2D.dtype).reshape(outShape);\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_gpu.SQUARED_DIFFERENCE, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.SQUARED_DIFFERENCE, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  realDivide(a: Tensor, b: Tensor): Tensor {\n    const op = binaryop_gpu.DIV;\n    const outputDtype = 'float32';\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      const checkOutOfBounds = true;\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.DIV, outputDtype, checkOutOfBounds);\n    }\n    const program = new BinaryOpProgram(op, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], outputDtype);\n  }\n\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    const op = binaryop_gpu.INT_DIV;\n    const outputDtype = 'int32';\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.INT_DIV, outputDtype);\n    }\n    const program = new BinaryOpProgram(op, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], outputDtype);\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' && b.dtype === 'complex64') {\n      return this.complexSeparableBinaryOp(a, b, binaryop_gpu.ADD);\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.add(a, b);\n    }\n\n    const dtype = upcastType(a.dtype, b.dtype);\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.ADD, dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.ADD, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  private packedUnaryOp(x: TensorInfo, op: string, dtype: DataType) {\n    const program = new UnaryOpPackedProgram(x.shape, op);\n    return this.compileAndRun<Tensor>(program, [x], dtype);\n  }\n\n  private packedBinaryOp(\n      a: TensorInfo, b: TensorInfo, op: string, dtype: DataType,\n      checkOutOfBounds = false) {\n    const program =\n        new BinaryOpPackedProgram(op, a.shape, b.shape, checkOutOfBounds);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  /**\n   * Computes a complex binary operation that can be decomposed into a simple\n   * binary operation on both the real and imagary parts.\n   */\n  private complexSeparableBinaryOp(a: Tensor, b: Tensor, op: string): Tensor {\n    const aData = this.texData.get(a.dataId);\n    const bData = this.texData.get(b.dataId);\n\n    const [real, imag] = [\n      [aData.complexTensors.real, bData.complexTensors.real],\n      [aData.complexTensors.imag, bData.complexTensors.imag]\n    ].map(complexParts => {\n      const [aPart, bPart] = complexParts;\n\n      const aHandle = this.makeComplexComponentTensorInfo(a, aPart);\n      const bHandle = this.makeComplexComponentTensorInfo(b, bPart);\n\n      const program = new BinaryOpProgram(op, a.shape, b.shape);\n      return this.compileAndRun<Tensor>(\n          program, [aHandle, bHandle], upcastType(aPart.dtype, bPart.dtype));\n    });\n\n    const complex = this.complex(real, imag);\n    real.dispose();\n    imag.dispose();\n    return complex;\n  }\n\n  // Returns a TensorInfo with the complex shape and the dataId of the\n  // underlying part. We need to do this because a reshaped complex tensor is\n  // not reflected in its parts.\n  private makeComplexComponentTensorInfo(\n      complexTensor: Tensor, complexPart: Tensor): TensorInfo {\n    return {\n      dataId: complexPart.dataId,\n      dtype: complexPart.dtype,\n      shape: complexTensor.shape\n    };\n  }\n\n  addN<T extends Tensor>(tensors: T[]): T {\n    if (tensors.length === 1) {\n      return tensors[0];\n    }\n\n    // Limit the number of uploaded textures for optimization.\n    if (tensors.length > env().get('WEBGL_MAX_TEXTURES_IN_SHADER')) {\n      const midIndex = Math.floor(tensors.length / 2);\n      const leftSide = this.addN(tensors.slice(0, midIndex));\n      const rightSide = this.addN(tensors.slice(midIndex));\n      return this.addN([leftSide, rightSide]);\n    }\n\n    const dtype =\n        tensors.map(t => t.dtype).reduce((d1, d2) => upcastType(d1, d2));\n    const shapes = tensors.map(t => t.shape);\n    // We can make sure shapes are identical in op level.\n    const usePackedOp = env().getBool('WEBGL_PACK');\n    const program = usePackedOp ?\n        new AddNPackedProgram(tensors[0].shape, shapes) :\n        new AddNProgram(tensors[0].shape, shapes);\n    return this.compileAndRun<T>(program, tensors, dtype);\n  }\n\n  subtract(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' && b.dtype === 'complex64') {\n      return this.complexSeparableBinaryOp(a, b, binaryop_gpu.SUB);\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.subtract(a, b);\n    }\n    const dtype = upcastType(a.dtype, b.dtype);\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.SUB, a.dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.SUB, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    const usePackedOp = env().getBool('WEBGL_PACK_BINARY_OPERATIONS');\n    const program = usePackedOp ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.POW, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.POW, a.shape, b.shape);\n    const dtype = upcastType(a.dtype, b.dtype);\n    return this.compileAndRun<T>(program, [a, b], dtype);\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.ceil(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.CEIL, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.CEIL);\n    return this.compileAndRun(program, [x]);\n  }\n\n  floor<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.floor(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.FLOOR, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.FLOOR);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIGN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_NAN);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n  isInf<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_INF);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n  isFinite<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_FINITE);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n\n  round<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ROUND);\n    return this.compileAndRun(program, [x]);\n  }\n\n  exp<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.exp(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.EXP, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.EXP);\n    return this.compileAndRun(program, [x]);\n  }\n\n  expm1<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.expm1(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.EXPM1, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.EXPM1);\n    return this.compileAndRun(program, [x]);\n  }\n\n  log<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.log(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_packed_op.LOG, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.LOG);\n    return this.compileAndRun(program, [x]);\n  }\n\n  log1p<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.LOG1P);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sqrt<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SQRT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  rsqrt<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.rsqrt(x);\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.RSQRT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  reciprocal<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.RECIPROCAL);\n    return this.compileAndRun(program, [x]);\n  }\n\n  relu<T extends Tensor>(x: T): T {\n    let program: UnaryOpProgram|UnaryOpPackedProgram;\n    if (env().getBool('WEBGL_PACK')) {\n      program = new UnaryOpPackedProgram(x.shape, unary_packed_op.RELU);\n    } else {\n      program = new UnaryOpProgram(x.shape, unary_op.RELU);\n    }\n    return this.compileAndRun(program, [x]);\n  }\n\n  relu6<T extends Tensor>(x: T): T {\n    let program: UnaryOpProgram|UnaryOpPackedProgram;\n    if (env().getBool('WEBGL_PACK')) {\n      program = new UnaryOpPackedProgram(x.shape, unary_packed_op.RELU6);\n    } else {\n      program = new UnaryOpProgram(x.shape, unary_op.RELU6);\n    }\n    return this.compileAndRun(program, [x]);\n  }\n\n  prelu<T extends Tensor>(x: T, alpha: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_packed_gpu.PRELU, x.shape, alpha.shape) :\n        new BinaryOpProgram(binaryop_gpu.PRELU, x.shape, alpha.shape);\n    return this.compileAndRun(program, [x, alpha]);\n  }\n\n  elu<T extends Tensor>(x: T): T {\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_packed_op.ELU, x.dtype) as T;\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.ELU);\n    return this.compileAndRun(program, [x]);\n  }\n\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_packed_gpu.ELU_DER, dy.shape, y.shape) :\n        new BinaryOpProgram(binaryop_gpu.ELU_DER, dy.shape, y.shape);\n    return this.compileAndRun(program, [dy, y]);\n  }\n\n  selu<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SELU);\n    return this.compileAndRun(program, [x]);\n  }\n\n  int<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TO_INT);\n    return this.compileAndRun(program, [x], 'int32');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    let program;\n    if (env().getBool('WEBGL_PACK_CLIP')) {\n      program = new ClipPackedProgram(x.shape);\n    } else {\n      program = new ClipProgram(x.shape);\n    }\n    const customSetup = program.getCustomSetupFunc(min, max);\n    return this.compileAndRun(program, [x], null, customSetup);\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.abs(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.ABS, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.ABS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  complexAbs<T extends Tensor>(x: T): T {\n    const xData = this.texData.get(x.dataId);\n\n    const program = new ComplexAbsProgram(x.shape);\n    const inputs = [\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.real),\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.imag),\n    ];\n\n    return this.compileAndRun<Tensor>(program, inputs) as T;\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIGMOID);\n    return this.compileAndRun(program, [x]);\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SOFTPLUS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  cos<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.COS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  tan<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TAN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ASIN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  acos<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ACOS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atan<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ATAN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atan2<T extends Tensor>(a: T, b: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.ATAN2, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.ATAN2, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SINH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  cosh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.COSH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  tanh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TANH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ASINH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  acosh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ACOSH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atanh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ATANH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ERF);\n    return this.compileAndRun(program, [x]);\n  }\n\n  step<T extends Tensor>(x: T, alpha: number): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.STEP(alpha));\n    return this.compileAndRun(program, [x]);\n  }\n\n  private conv2dByMatMul(\n      x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor,\n      activation?: Activation, preluActivationWeights?: Tensor): Tensor4D {\n    // Reshapes conv2D input to 2D tensors, uses matMul and then reshape the\n    // result from 2D to 4D.\n    const xShape = x.shape;\n    const xTexData = this.texData.get(x.dataId);\n    const sharedMatMulDim = convInfo.inChannels;\n    const outerShapeX = xShape[0] * xShape[1] * xShape[2];\n    const outerShapeFilter = convInfo.outChannels;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n    const transposeA = false;\n    const transposeB = false;\n\n    // TODO: Once reduction ops are packed, batchMatMul will always be packed\n    // and we can remove this condition.\n    const batchMatMulWillBeUnpacked =\n        (outerShapeX === 1 || outerShapeFilter === 1) &&\n        sharedMatMulDim > MATMUL_SHARED_DIM_THRESHOLD;\n    const reshapeWillBeExpensive = xShape[2] % 2 !== 0 && !!xTexData.isPacked;\n\n    if (batchMatMulWillBeUnpacked || !env().getBool('WEBGL_LAZILY_UNPACK') ||\n        !env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ||\n        !reshapeWillBeExpensive) {\n      const targetShape = isChannelsLast ? xShape[0] * xShape[1] * xShape[2] :\n                                           xShape[0] * xShape[2] * xShape[3];\n      const xReshaped = this.reshape(x, [1, targetShape, convInfo.inChannels]);\n      const filterReshaped =\n          this.reshape(filter, [1, convInfo.inChannels, convInfo.outChannels]);\n\n      return this.reshape<Rank.R4>(\n          this.fusedBatchMatMul({\n            a: xReshaped as Tensor3D,\n            b: filterReshaped as Tensor3D,\n            transposeA,\n            transposeB,\n            bias,\n            activation,\n            preluActivationWeights\n          }),\n          convInfo.outShape);\n    }\n\n    // Following optimization is specific to packed |x| with odd row count\n    // (For example, in channelLast mode, 'row count' refers to x.shape[2]):\n    // we avoid expensive packed 2x2 reshape by padding row count to next,\n    // even number. When x.shape[2] is odd, the result of packed batchMatMul is\n    // the same (has the same texture layout and and values in the texture) as\n    // it is for even x.shape[2] + 1. We make the odd-rows tensor to look like\n    // even-rows tensor before the operation and, after the batchMatMul,\n    // fix the even-rows result to have odd number of rows.\n    const targetShape = isChannelsLast ?\n        xShape[0] * xShape[1] * (xShape[2] + 1) :\n        xShape[0] * xShape[2] * (xShape[3] + 1);\n    const xReshaped: TensorInfo = {\n      dataId: x.dataId,\n      shape: [1, targetShape, convInfo.inChannels],\n      dtype: x.dtype\n    };\n    // xTexData.shape gets referenced from GPGPUBinary.inShapeInfos.\n    // Decrementing row count, after batchMatMul->...->compileProgram leads to\n    // invalid row count within the reference in GPGPUBinary.inShapeInfos.\n    // Alternative fix would be to provide a copy to GPGPUBinary.inShapeInfos\n    // in compileProgram method, but that would affect compilation of all\n    // programs - instead, provide a copy here, with even row count, before\n    // calling batchMatMul->...->compileProgram and after that, the original\n    // xTexData.shape is restored.\n    const originalXTexDataShape = xTexData.shape;\n    xTexData.shape = xTexData.shape.slice();\n    xTexData.shape[xTexData.shape.length - 2]++;\n    util.assert(\n        webgl_util.isReshapeFree(xTexData.shape, xReshaped.shape),\n        () => `packed reshape ${xTexData.shape} to ${\n            xReshaped.shape} isn't free`);\n    const filterReshaped =\n        this.reshape(filter, [1, convInfo.inChannels, convInfo.outChannels]);\n\n    const pointwiseConv = this.fusedBatchMatMul({\n      a: xReshaped as Tensor3D,\n      b: filterReshaped as Tensor3D,\n      transposeA,\n      transposeB,\n      bias,\n      activation,\n      preluActivationWeights\n    });\n    const pointwiseConvTexData = this.texData.get(pointwiseConv.dataId);\n    util.assert(\n        pointwiseConvTexData.isPacked,\n        () => 'batchMatMul result is expected to be packed');\n    // Restore the input shape to original.\n    xTexData.shape = originalXTexDataShape;\n    // Set the output shape - there is no need for expensive reshape as data\n    // layout is already correct.\n    pointwiseConvTexData.shape = convInfo.outShape;\n    return ENGINE.makeTensorFromDataId(\n               pointwiseConv.dataId, convInfo.outShape, pointwiseConv.dtype) as\n        Tensor4D;\n  }\n\n  private conv2dWithIm2Row(\n      x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor,\n      activation?: Activation, preluActivationWeights?: Tensor): Tensor4D {\n    // Rearranges conv2d input so each block to be convolved over forms the\n    // column of a new matrix with shape [filterWidth * filterHeight *\n    // inChannels, outHeight * outWidth]. The filter is also rearranged so each\n    // output channel forms a row of a new matrix with shape [outChannels,\n    // filterWidth * filterHeight * inChannels]. The convolution is then\n    // computed by multiplying these matrices and reshaping the result.\n    const {\n      filterWidth,\n      filterHeight,\n      inChannels,\n      outWidth,\n      outHeight,\n      dataFormat\n    } = convInfo;\n\n    const isChannelsLast = dataFormat === 'channelsLast';\n\n    const sharedDim = filterWidth * filterHeight * inChannels;\n    const numCols = outHeight * outWidth;\n    const x2ColShape = [sharedDim, numCols];\n    const transposeA = true;\n    const transposeB = false;\n\n    const xSqueezed = x.squeeze([0]);\n    const w2Row = filter.reshape([1, sharedDim, -1]);\n\n    const im2ColProgram =\n        new Im2ColPackedProgram(x2ColShape, xSqueezed.shape, convInfo);\n    const im2Col: Tensor3D =\n        this.compileAndRun<Tensor2D>(im2ColProgram, [xSqueezed]).reshape([\n          1, x2ColShape[0], x2ColShape[1]\n        ]);\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, true) : null;\n    const matmulProgram = new MatMulPackedProgram(\n        im2Col.shape, [1, numCols, convInfo.outChannels], transposeA,\n        transposeB, hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [im2Col, w2Row];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (hasPreluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    const product = this.compileAndRun<Tensor4D>(matmulProgram, inputs);\n\n    if (isChannelsLast) {\n      return product.reshape([1, outHeight, outWidth, convInfo.outChannels]);\n    } else {\n      return product.reshape([1, convInfo.outChannels, outHeight, outWidth]);\n    }\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&\n        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&\n        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&\n        (convInfo.padInfo.type === 'SAME' ||\n         convInfo.padInfo.type === 'VALID')) {\n      return this.conv2dByMatMul(\n          input, filter, convInfo, bias, activation, preluActivationWeights);\n    }\n    if (env().getBool('WEBGL_CONV_IM2COL') && input.shape[0] === 1) {\n      return this.conv2dWithIm2Row(\n          input, filter, convInfo, bias, activation, preluActivationWeights);\n    }\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, false) : null;\n    const program = new Conv2DProgram(\n        convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [input, filter];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (preluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    return this.compileAndRun(program, inputs);\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&\n        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&\n        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&\n        (convInfo.padInfo.type === 'SAME' ||\n         convInfo.padInfo.type === 'VALID')) {\n      return this.conv2dByMatMul(x, filter, convInfo);\n    }\n    if (env().getBool('WEBGL_CONV_IM2COL') && x.shape[0] === 1) {\n      return this.conv2dWithIm2Row(x, filter, convInfo);\n    }\n    const program = new Conv2DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new Conv2DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  conv2dDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Conv2DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    const shouldPackDepthwiseConv = env().getBool('WEBGL_PACK_DEPTHWISECONV') &&\n        convInfo.strideWidth <= 2 &&\n        convInfo.outChannels / convInfo.inChannels === 1;\n    const fusedActivation = activation ?\n        mapActivationToShaderProgram(activation, shouldPackDepthwiseConv) :\n        null;\n    const inputs: Tensor[] = [input, filter];\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    if (hasBias) {\n      inputs.push(bias);\n    }\n    if (hasPreluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n\n    let program: DepthwiseConv2DProgram|DepthwiseConvPacked2DProgram;\n    if (shouldPackDepthwiseConv) {\n      program = new DepthwiseConvPacked2DProgram(\n          convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n      return this.compileAndRun(program, inputs);\n    }\n\n    program = new DepthwiseConv2DProgram(\n        convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n    return this.compileAndRun(program, inputs);\n  }\n\n  depthwiseConv2D(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    let program: DepthwiseConv2DProgram|DepthwiseConvPacked2DProgram;\n    if (env().getBool('WEBGL_PACK_DEPTHWISECONV') &&\n        convInfo.strideWidth <= 2 &&\n        convInfo.outChannels / convInfo.inChannels === 1) {\n      program = new DepthwiseConvPacked2DProgram(convInfo);\n      return this.compileAndRun(program, [x, filter]);\n    }\n\n    program = new DepthwiseConv2DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new DepthwiseConv2DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  depthwiseConv2DDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new DepthwiseConv2DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Conv3DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    const program = new Conv3DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  conv3dDerFilter(x: Tensor5D, dy: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Conv3DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Pool2DProgram(convInfo, 'max', false);\n    return this.compileAndRun(program, [x]);\n  }\n\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Pool2DProgram(convInfo, 'avg', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const getPositions = true;\n    const maxPoolPositionsProgram =\n        new Pool2DProgram(convInfo, 'max', getPositions);\n    const maxPoolPositions: Tensor4D =\n        this.compileAndRun(maxPoolPositionsProgram, [x]);\n\n    const maxPoolBackPropProgram = new MaxPool2DBackpropProgram(convInfo);\n    const result = this.compileAndRun(\n        maxPoolBackPropProgram, [dy, maxPoolPositions], x.dtype);\n    maxPoolPositions.dispose();\n    return result as Tensor4D;\n  }\n\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const avgPoolBackpropProgram = new AvgPool2DBackpropProgram(convInfo);\n    return this.compileAndRun(avgPoolBackpropProgram, [dy], x.dtype);\n  }\n\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return backend_util.castTensor(x, dtype, this);\n  }\n\n  unstack(x: Tensor, axis: number): Tensor[] {\n    const num = x.shape[axis];\n    const outShape: number[] = new Array(x.rank - 1);\n    let outIndex = 0;\n    for (let i = 0; i < x.rank; i++) {\n      if (i !== axis) {\n        outShape[outIndex++] = x.shape[i];\n      }\n    }\n\n    const begin = new Array(x.rank).fill(0);\n    const size = x.shape.slice();\n    size[axis] = 1;\n    const res = new Array(num);\n    for (let i = 0; i < res.length; i++) {\n      begin[axis] = i;\n      res[i] = this.slice(x, begin, size).reshape(outShape);\n    }\n    return res;\n  }\n\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Pool3DProgram(convInfo, 'avg', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const avgPool3dBackpropProgram = new AvgPool3DBackpropProgram(convInfo);\n    return this.compileAndRun(avgPool3dBackpropProgram, [dy], x.dtype);\n  }\n\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Pool3DProgram(convInfo, 'max', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const getPositions = true;\n    const maxPool3dPositionsProgram =\n        new Pool3DProgram(convInfo, 'max', getPositions);\n    const maxPool3dPositions: Tensor5D =\n        this.compileAndRun(maxPool3dPositionsProgram, [x]);\n    const maxPool3dBackPropProgram = new MaxPool3DBackpropProgram(convInfo);\n    const result = this.compileAndRun(\n        maxPool3dBackPropProgram, [dy, maxPool3dPositions], x.dtype);\n    maxPool3dPositions.dispose();\n    return result as Tensor5D;\n  }\n\n  reshape<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const texData = this.texData.get(x.dataId);\n    if (texData.isPacked && !webgl_util.isReshapeFree(x.shape, shape) &&\n        !(texData.texture !== null &&\n          webgl_util.isReshapeFree(texData.shape, shape))) {\n      const info = this.packedReshape(x, shape);\n      return ENGINE.makeTensorFromDataId(info.dataId, info.shape, info.dtype) as\n          Tensor<R>;\n    }\n    return backend_util.reshapeTensor(x, shape);\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    const program = env().getBool('WEBGL_PACK_IMAGE_OPERATIONS') ?\n        new ResizeBilinearPackedProgram(\n            x.shape, newHeight, newWidth, alignCorners) :\n        new ResizeBilinearProgram(x.shape, newHeight, newWidth, alignCorners);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean):\n      Tensor4D {\n    const program = new ResizeBilinearBackpropProgram(dy, x, alignCorners);\n\n    return this.compileAndRun(program, [dy]);\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    const program = new ResizeNearestNeighborProgram(\n        x.shape, newHeight, newWidth, alignCorners);\n    return this.compileAndRun(program, [x]);\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean): Tensor4D {\n    const program =\n        new ResizeNearestNeigborBackpropProgram(dy, x, alignCorners);\n    return this.compileAndRun(program, [dy]);\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    const probs = normalized ? logits : softmax(logits);\n    const batchSize = probs.shape[0];\n    const numOutcomes = probs.shape[1];\n    const program = new MultinomialProgram(batchSize, numOutcomes, numSamples);\n    const customSetup = program.getCustomSetupFunc(seed);\n    return this.compileAndRun(program, [probs], 'int32', customSetup);\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    const program = new OneHotProgram(indices.size, depth, onValue, offValue);\n    return this.compileAndRun(program, [indices]);\n  }\n\n  diag(x: Tensor): Tensor {\n    const program = new DiagProgram(x.size);\n    return this.compileAndRun(program, [x]);\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold: number): Tensor1D {\n    warn(\n        'tf.nonMaxSuppression() in webgl locks the UI thread. ' +\n        'Call tf.nonMaxSuppressionAsync() instead');\n    const boxesVals = boxes.dataSync();\n    const scoresVals = scores.dataSync();\n    return nonMaxSuppressionV3(\n        boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  }\n\n  cropAndResize(\n      image: Tensor4D, boxes: Tensor2D, boxIndex: Tensor1D,\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number): Tensor4D {\n    const program = new CropAndResizeProgram(\n        image.shape, boxes.shape, cropSize, method, extrapolationValue);\n    return this.compileAndRun(program, [image, boxes, boxIndex], 'float32');\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    util.assert(\n        blockSize > 1,\n        () =>\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n    const batchSize = x.shape[0];\n    const inputHeight = (dataFormat === 'NHWC') ? x.shape[1] : x.shape[2];\n    const inputWidth = (dataFormat === 'NHWC') ? x.shape[2] : x.shape[3];\n    const inputDepth = (dataFormat === 'NHWC') ? x.shape[3] : x.shape[1];\n\n    const outputHeight = inputHeight * blockSize;\n    const outputWidth = inputWidth * blockSize;\n    const outputDepth = inputDepth / (blockSize * blockSize);\n\n    const outputShape = (dataFormat === 'NHWC') ?\n        [batchSize, outputHeight, outputWidth, outputDepth] :\n        [batchSize, outputDepth, outputHeight, outputWidth];\n\n    const program = new DepthToSpaceProgram(outputShape, blockSize, dataFormat);\n    return this.compileAndRun(program, [x]);\n  }\n\n  split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {\n    return split(x, sizeSplits, axis);\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(updates, indices, shape);\n\n    const flattenShape = [outputSize / sliceSize, sliceSize];\n    const flattenIndices = indices.reshape([numUpdates, sliceRank]);\n    const flattenX = updates.reshape([numUpdates, sliceSize]);\n\n    if (outputSize === 0) {\n      return backend_util.reshapeTensor(tensor([]), shape);\n    }\n    const defaultValue = scalar(0);\n    const program = new ScatterProgram(\n        numUpdates, sliceRank, flattenIndices.rank, flattenX.rank, strides,\n        flattenShape);\n    const res: Tensor =\n        this.compileAndRun(program, [flattenX, flattenIndices, defaultValue]);\n    return res.reshape(shape);\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    const {sliceRank, numUpdates, strides, outputSize} =\n        scatter_nd_util.calculateShapes(\n            sparseValues, sparseIndices, outputShape);\n\n    const sumDupeIndices = false;\n    const program = new ScatterProgram(\n        numUpdates, sliceRank, sparseIndices.rank, sparseValues.rank, strides,\n        [outputSize, 1], sumDupeIndices);\n    const res: Tensor = this.compileAndRun(\n        program, [sparseValues, sparseIndices, defaultValue]);\n    return res.reshape(outputShape);\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    const inverse = false;\n    return this.fftImpl(x, inverse);\n  }\n\n  ifft(x: Tensor2D): Tensor2D {\n    const inverse = true;\n    return this.fftImpl(x, inverse);\n  }\n\n  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {\n    const xData = this.texData.get(x.dataId);\n\n    const realProgram =\n        new FFTProgram(fft_gpu.COMPLEX_FFT.REAL, x.shape, inverse);\n    const imagProgram =\n        new FFTProgram(fft_gpu.COMPLEX_FFT.IMAG, x.shape, inverse);\n    const inputs = [\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.real),\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.imag),\n    ];\n\n    const real = this.compileAndRun<Tensor>(realProgram, inputs);\n    const imag = this.compileAndRun<Tensor>(imagProgram, inputs);\n    const complex = this.complex(real, imag).as2D(x.shape[0], x.shape[1]);\n    real.dispose();\n    imag.dispose();\n    return complex;\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    const indicesShape = indices.shape;\n    const sliceRank = indicesShape[indicesShape.length - 1];\n\n    const [resultShape, numSlices, sliceSize, strides] =\n        gather_nd_util.prepareAndValidate(x, indices);\n\n    const flattenIndices = indices.reshape([numSlices, sliceRank]);\n    const flattenX = x.reshape([x.size / sliceSize, sliceSize]);\n    const program =\n        new GatherNDProgram(sliceRank, strides, [numSlices, sliceSize]);\n    const res: Tensor = this.compileAndRun(program, [flattenX, flattenIndices]);\n    return res.reshape(resultShape);\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    dtype = dtype || inferDtype(value);\n\n    if (dtype === 'string') {\n      // String type should be handled in CPU memory.\n      const values = getArrayFromDType(dtype, sizeFromShape(shape));\n      values.fill(value as string);\n      return ENGINE.makeTensor(values, shape, dtype, this) as Tensor<R>;\n    } else {\n      const program = new FillProgram(shape, value as number);\n      const customSetup = program.getCustomSetupFunc(value as number);\n      return this.compileAndRun(program, [], dtype, customSetup);\n    }\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    if (x.dtype === 'string') {\n      throw new Error('onesLike is not supported under string dtype');\n    } else {\n      // TODO(cais, smilkov): Add WebGL shader for onesLike:\n      //   https://github.com/tensorflow/tfjs/issues/1293\n      return this.fill(x.shape, 1, x.dtype);\n    }\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return this.fill(x.shape, x.dtype === 'string' ? '' : 0, x.dtype);\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    // TODO: Use CPU implementation due to the precision problem in Safari.\n    return backend_util.linspaceImpl(start, stop, num);\n  }\n\n  makeTensorInfo(shape: number[], dtype: DataType): TensorInfo {\n    const dataId = this.write(null /* values */, shape, dtype);\n    this.texData.get(dataId).usage = null;\n    return {dataId, shape, dtype};\n  }\n\n  private makeOutput<T extends Tensor>(shape: number[], dtype: DataType): T {\n    const {dataId} = this.makeTensorInfo(shape, dtype);\n    return ENGINE.makeTensorFromDataId(dataId, shape, dtype, this) as T;\n  }\n\n  private unpackTensor(input: TensorInfo): TensorInfo {\n    const program = new UnpackProgram(input.shape);\n    return this.runWebGLProgram(program, [input], input.dtype);\n  }\n\n  private packTensor(input: TensorInfo): TensorInfo {\n    const program = new PackProgram(input.shape);\n    const preventEagerUnpackingOutput = true;\n    return this.runWebGLProgram(\n        program, [input], input.dtype, null /* customSetup */,\n        preventEagerUnpackingOutput);\n  }\n\n  private packedReshape(input: TensorInfo, afterShape: number[]): TensorInfo {\n    const input3DShape = [\n      webgl_util.getBatchDim(input.shape),\n      ...webgl_util.getRowsCols(input.shape)\n    ] as [number, number, number];\n    const input3D: TensorInfo = {\n      dtype: input.dtype,\n      shape: input3DShape,\n      dataId: input.dataId\n    };\n    const afterShapeAs3D = [\n      webgl_util.getBatchDim(afterShape), ...webgl_util.getRowsCols(afterShape)\n    ] as [number, number, number];\n\n    const program = new ReshapePackedProgram(afterShapeAs3D, input3DShape);\n    const preventEagerUnpackingOfOutput = true;\n    const output = this.runWebGLProgram(\n        program, [input3D], input.dtype, null /* customSetup */,\n        preventEagerUnpackingOfOutput);\n    return {dataId: output.dataId, shape: afterShape, dtype: output.dtype};\n  }\n\n  private decode(dataId: DataId): TensorInfo {\n    const texData = this.texData.get(dataId);\n    const {isPacked, shape, dtype} = texData;\n    const shapeAs3D =\n        webgl_util.getShapeAs3D(shape) as [number, number, number];\n    let program;\n    if (isPacked) {\n      program = new DecodeMatrixPackedProgram(shapeAs3D);\n    } else {\n      program = new DecodeMatrixProgram(shapeAs3D);\n    }\n    const preventEagerUnpackingOfOutput = true;\n    const out = this.runWebGLProgram(\n        program, [{shape: shapeAs3D, dtype, dataId}], dtype,\n        null /* customSetup */, preventEagerUnpackingOfOutput);\n    return {dtype, shape, dataId: out.dataId};\n  }\n\n  runWebGLProgram(\n      program: GPGPUProgram, inputs: TensorInfo[], outputDtype: DataType,\n      customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void,\n      preventEagerUnpackingOfOutput = false): TensorInfo {\n    const output = this.makeTensorInfo(program.outputShape, outputDtype);\n    const outData = this.texData.get(output.dataId);\n    if (program.packedOutput) {\n      outData.isPacked = true;\n    }\n    if (program.outPackingScheme === tex_util.PackingScheme.DENSE) {\n      const texelShape = tex_util.getDenseTexShape(program.outputShape);\n      // For a densely packed output, we explicitly set texShape\n      // so it doesn't get assigned later according to our typical packing\n      // scheme wherein a single texel can only contain values from adjacent\n      // rows/cols.\n      outData.texShape = texelShape.map(d => d * 2) as [number, number];\n    }\n    if (program.outTexUsage != null) {\n      outData.usage = program.outTexUsage;\n    }\n    if (sizeFromShape(output.shape) === 0) {\n      // Short-circuit the computation since the result is empty (has 0 in its\n      // shape).\n      outData.values = getTypedArrayFromDType(output.dtype as 'float32', 0);\n      return output;\n    }\n\n    const dataToDispose: TensorInfo[] = [];\n    const inputsData: TensorData[] = inputs.map(input => {\n      if (input.dtype === 'complex64') {\n        throw new Error(\n            `GPGPUProgram does not support complex64 input. For complex64 ` +\n            `dtypes, please separate the program into real and imaginary ` +\n            `parts.`);\n      }\n\n      let texData = this.texData.get(input.dataId);\n\n      if (texData.texture == null) {\n        if (!program.packedInputs &&\n            util.sizeFromShape(input.shape) <=\n                env().getNumber('WEBGL_SIZE_UPLOAD_UNIFORM')) {\n          // Upload small tensors that live on the CPU as uniforms, not as\n          // textures. Do this only when the environment supports 32bit floats\n          // due to problems when comparing 16bit floats with 32bit floats.\n          // TODO(https://github.com/tensorflow/tfjs/issues/821): Make it\n          // possible for packed shaders to sample from uniforms.\n          return {\n            shape: input.shape,\n            texData: null,\n            isUniform: true,\n            uniformValues: texData.values as TypedArray\n          };\n        }\n\n        // This ensures that if a packed program's inputs have not yet been\n        // uploaded to the GPU, they get uploaded as packed right off the bat.\n        if (program.packedInputs) {\n          texData.isPacked = true;\n          texData.shape = input.shape;\n        }\n      } else if (!!texData.isPacked !== !!program.packedInputs) {\n        input = texData.isPacked ? this.unpackTensor(input) :\n                                   this.packTensor(input);\n        dataToDispose.push(input);\n        texData = this.texData.get(input.dataId);\n      } else if (\n          texData.isPacked &&\n          !webgl_util.isReshapeFree(texData.shape, input.shape)) {\n        // This is a special case where a texture exists for a tensor\n        // but the shapes are incompatible (due to packing constraints) because\n        // the tensor did not have a chance to go through the packed reshape\n        // shader. This only happens when we reshape the *same* tensor to form\n        // *distinct* inputs to an op, e.g. dotting a vector with itself. This\n        // case will disappear once packed uploading is the default.\n\n        const savedInput = input;\n        const targetShape = input.shape;\n\n        input.shape = texData.shape;\n        input = this.packedReshape(input as Tensor, targetShape);\n        dataToDispose.push(input);\n        texData = this.texData.get(input.dataId);\n\n        savedInput.shape = targetShape;\n      }\n\n      this.uploadToGPU(input.dataId);\n      return {shape: input.shape, texData, isUniform: false};\n    });\n\n    this.uploadToGPU(output.dataId);\n    const outputData:\n        TensorData = {shape: output.shape, texData: outData, isUniform: false};\n    const key = gpgpu_math.makeShaderKey(program, inputsData, outputData);\n    const binary = this.getAndSaveBinary(key, () => {\n      return gpgpu_math.compileProgram(\n          this.gpgpu, program, inputsData, outputData);\n    });\n    const shouldTimeProgram = this.activeTimers != null;\n    let query: WebGLQuery|CPUTimerQuery;\n    if (shouldTimeProgram) {\n      query = this.startTimer();\n    }\n\n    gpgpu_math.runProgram(\n        this.gpgpu, binary, inputsData, outputData, customSetup);\n\n    dataToDispose.forEach(info => this.disposeData(info.dataId));\n\n    if (shouldTimeProgram) {\n      query = this.endTimer(query);\n      this.activeTimers.push(\n          {name: program.constructor.name, query: this.getQueryTime(query)});\n    }\n\n    if (!env().getBool('WEBGL_LAZILY_UNPACK') && outData.isPacked &&\n        preventEagerUnpackingOfOutput === false) {\n      const unpacked = this.unpackTensor(output);\n      this.disposeData(output.dataId);\n      return unpacked;\n    }\n    return output;\n  }\n\n  compileAndRun<K extends TensorInfo>(\n      program: GPGPUProgram, inputs: TensorInfo[], outputDtype?: DataType,\n      customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void,\n      preventEagerUnpackingOfOutput = false): K {\n    outputDtype = outputDtype || inputs[0].dtype;\n    const outInfo = this.runWebGLProgram(\n        program, inputs, outputDtype, customSetup,\n        preventEagerUnpackingOfOutput);\n    return ENGINE.makeTensorFromDataId(\n               outInfo.dataId, outInfo.shape, outInfo.dtype) as {} as K;\n  }\n\n  private getAndSaveBinary(key: string, getBinary: () => GPGPUBinary):\n      GPGPUBinary {\n    if (!(key in this.binaryCache)) {\n      this.binaryCache[key] = getBinary();\n    }\n    return this.binaryCache[key];\n  }\n\n  getTextureManager(): TextureManager {\n    return this.textureManager;\n  }\n\n  private disposed = false;\n\n  dispose() {\n    if (this.disposed) {\n      return;\n    }\n    // Avoid disposing the compiled webgl programs during unit testing because\n    // it slows down test execution.\n    if (!env().getBool('IS_TEST')) {\n      const allKeys = Object.keys(this.binaryCache);\n      allKeys.forEach(key => {\n        this.gpgpu.deleteProgram(this.binaryCache[key].webGLProgram);\n        delete this.binaryCache[key];\n      });\n    }\n    this.textureManager.dispose();\n    if (this.canvas != null &&\n        (typeof (HTMLCanvasElement) !== 'undefined' &&\n         this.canvas instanceof HTMLCanvasElement)) {\n      this.canvas.remove();\n    } else {\n      this.canvas = null;\n    }\n    if (this.gpgpuCreatedLocally) {\n      this.gpgpu.program = null;\n      this.gpgpu.dispose();\n    }\n    this.disposed = true;\n  }\n\n  floatPrecision(): 16|32 {\n    if (this.floatPrecisionValue == null) {\n      this.floatPrecisionValue = tidy(() => {\n        if (!env().get('WEBGL_RENDER_FLOAT32_ENABLED')) {\n          // Momentarily switching DEBUG flag to false so we don't throw an\n          // error trying to upload a small value.\n          const debugFlag = env().getBool('DEBUG');\n          env().set('DEBUG', false);\n          const underflowCheckValue = this.abs(scalar(1e-8)).dataSync()[0];\n          env().set('DEBUG', debugFlag);\n\n          if (underflowCheckValue > 0) {\n            return 32;\n          }\n        }\n        return 16;\n      });\n    }\n    return this.floatPrecisionValue;\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n\n  private uploadToGPU(dataId: DataId): void {\n    const texData = this.texData.get(dataId);\n    const {shape, dtype, values, texture, usage, isPacked} = texData;\n\n    if (texture != null) {\n      // Array is already on GPU. No-op.\n      return;\n    }\n    const shouldTimeProgram = this.activeTimers != null;\n    let start: number;\n    if (shouldTimeProgram) {\n      start = util.now();\n    }\n\n    let texShape = texData.texShape;\n    if (texShape == null) {\n      texShape = webgl_util.getTextureShapeFromLogicalShape(shape, isPacked);\n      texData.texShape = texShape;\n    }\n\n    if (values != null) {\n      const shapeAs3D = webgl_util.getShapeAs3D(shape);\n\n      let program;\n      let width = texShape[1], height = texShape[0];\n      const isByteArray = values instanceof Uint8Array;\n\n      if (isPacked) {\n        [width, height] = tex_util.getPackedMatrixTextureShapeWidthHeight(\n            texShape[0], texShape[1]);\n        program = new EncodeMatrixPackedProgram(\n            shapeAs3D, [height, width], isByteArray);\n      } else {\n        program =\n            new EncodeMatrixProgram(shapeAs3D, [height, width], isByteArray);\n      }\n\n      const tempDenseInputHandle = this.makeTensorInfo([height, width], dtype);\n      if (isByteArray) {\n        this.texData.get(tempDenseInputHandle.dataId).usage =\n            TextureUsage.PIXELS;\n      } else {\n        this.texData.get(tempDenseInputHandle.dataId).usage =\n            TextureUsage.UPLOAD;\n      }\n      this.gpgpu.uploadDenseMatrixToTexture(\n          this.getTexture(tempDenseInputHandle.dataId), width, height,\n          values as TypedArray);\n\n      // We want the output to remain packed regardless of the value of\n      // WEBGL_PACK.\n      const preventEagerUnpacking = true;\n      const encodedOutputTarget = this.runWebGLProgram(\n          program, [tempDenseInputHandle], dtype, null, preventEagerUnpacking);\n\n      // Have the original texture assume the identity of the encoded output.\n      const outputTexData = this.texData.get(encodedOutputTarget.dataId);\n      texData.texture = outputTexData.texture;\n      texData.texShape = outputTexData.texShape;\n      texData.isPacked = outputTexData.isPacked;\n      texData.usage = outputTexData.usage;\n\n      this.disposeData(tempDenseInputHandle.dataId);\n      this.texData.delete(encodedOutputTarget.dataId);\n\n      // Once uploaded, don't store the values on cpu.\n      texData.values = null;\n      if (shouldTimeProgram) {\n        this.uploadWaitMs += util.now() - start;\n      }\n    } else {\n      const newTexture = this.acquireTexture(texShape, usage, dtype, isPacked);\n      texData.texture = newTexture;\n    }\n  }\n\n  private convertAndCacheOnCPU(dataId: DataId, float32Values?: Float32Array):\n      TypedArray {\n    const texData = this.texData.get(dataId);\n    const {dtype} = texData;\n\n    this.releaseGPUData(dataId);\n\n    if (float32Values != null) {\n      texData.values = float32ToTypedArray(float32Values, dtype as 'float32');\n    }\n    return texData.values as TypedArray;\n  }\n\n  private acquireTexture(\n      texShape: [number, number], texType: TextureUsage, dtype: DataType,\n      isPacked: boolean): WebGLTexture {\n    this.numBytesInGPU += this.computeBytes(texShape, dtype);\n    if (!this.warnedAboutMemory &&\n        this.numBytesInGPU > this.numMBBeforeWarning * 1024 * 1024) {\n      const mb = (this.numBytesInGPU / 1024 / 1024).toFixed(2);\n      this.warnedAboutMemory = true;\n      console.warn(\n          `High memory usage in GPU: ${mb} MB, ` +\n          `most likely due to a memory leak`);\n    }\n    return this.textureManager.acquireTexture(texShape, texType, isPacked);\n  }\n\n  private computeBytes(shape: [number, number], dtype: DataType) {\n    return shape[0] * shape[1] * util.bytesPerElement(dtype);\n  }\n}\n\nif (device_util.isBrowser()) {\n  ENGINE.registerBackend(\n      'webgl', () => new MathBackendWebGL(), 2 /* priority */);\n}\n\nfunction float32ToTypedArray<D extends NumericDataType>(\n    a: Float32Array, dtype: D): DataTypeMap[D] {\n  if (dtype === 'float32' || dtype === 'complex64') {\n    return a as DataTypeMap[D];\n  } else if (dtype === 'int32' || dtype === 'bool') {\n    const result = (dtype === 'int32') ? new Int32Array(a.length) :\n                                         new Uint8Array(a.length);\n    for (let i = 0; i < result.length; ++i) {\n      result[i] = Math.round(a[i]);\n    }\n    return result as DataTypeMap[D];\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {nearestDivisor} from '../util';\n\nimport {PARALLELIZE_THRESHOLD} from './reduce_util';\n\nexport interface SegOpInfo {\n  windowSize: number;\n  batchSize: number;\n  inSize: number;\n  numSegments: number;\n}\n\nexport function segOpComputeOptimalWindowSize(\n    inSize: number, numSegments: number): number {\n  let done = false;\n  let res;\n\n  if (inSize <= PARALLELIZE_THRESHOLD) {\n    res = inSize;\n    done = true;\n  } else {\n    res = nearestDivisor(inSize, Math.floor(Math.sqrt(inSize)));\n  }\n\n  while (!done) {\n    if (res > numSegments || res === inSize) {\n      done = true;\n    } else {\n      res = nearestDivisor(inSize, res + 1);\n    }\n  }\n  return res;\n}\n\nexport function computeOutShape(\n    aShape: number[], axis: number, numSegments: number): number[] {\n  const outShape = [];\n  const rank = aShape.length;\n  for (let dim = 0; dim < rank; dim++) {\n    if (dim !== axis) {\n      outShape.push(aShape[dim]);\n    } else {\n      outShape.push(numSegments);\n    }\n  }\n  return outShape;\n}\n\nexport interface GatherOpShapeInfo {\n  batchSize: number;\n  sliceSize: number;\n  dimSize: number;\n  outputShape: number[];\n}\nexport function collectGatherOpShapeInfo(\n    x: Tensor, indices: Tensor, axis: number): GatherOpShapeInfo {\n  const dimSize = x.shape[axis];\n\n  const outputShape: number[] = [];\n  let batchSize = 1;\n  let sliceSize = 1;\n  for (let i = 0; i < axis; i++) {\n    outputShape.push(x.shape[i]);\n    batchSize *= x.shape[i];\n  }\n\n  for (let i = 0; i < indices.rank; i++) {\n    outputShape.push(indices.shape[i]);\n  }\n\n  for (let i = axis + 1; i < x.rank; i++) {\n    outputShape.push(x.shape[i]);\n    sliceSize *= x.shape[i];\n  }\n\n  return {batchSize, sliceSize, dimSize, outputShape};\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {registerGradient} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nregisterGradient({\n  kernelName: 'Square',\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [x] = saved;\n    return {x: () => dy.mul(x.toFloat().mul(2))};\n  }\n});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Computes square of `x` element-wise: `x ^ 2`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.sqrt(2), -1]);\n *\n * x.square().print();  // or tf.square(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction square_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'square');\n  const attrs = {};\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [];\n  return ENGINE.runKernelFunc((backend, save) => {\n    save([$x]);\n    return backend.square($x);\n  }, {x: $x}, null /* grad */, 'Square', attrs, inputsToSave, outputsToSave);\n}\n\nexport const square = op({square_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\nimport {scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes `-1 * x` element-wise.\n *\n * ```js\n * const x = tf.tensor2d([1, 2, -2, 0], [2, 2]);\n *\n * x.neg().print();  // or tf.neg(x)\n * ```\n *\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction neg_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'neg');\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.neg()};\n  };\n  return ENGINE.runKernelFunc(backend => backend.neg($x), {$x}, grad);\n}\n\n/**\n * Computes ceiling of input `tf.Tensor` element-wise: `ceil(x)`\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.ceil().print();  // or tf.ceil(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction ceil_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'ceil');\n\n  // TODO(manrajgrover): Return null for gradients when backprop supports it.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.ceil($x), {$x}, grad);\n}\n\n/**\n * Computes floor of input `tf.Tensor` element-wise: `floor(x)`.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.floor().print();  // or tf.floor(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction floor_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'floor');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.floor($x), {$x}, grad);\n}\n\n/**\n * Returns an element-wise indication of the sign of a number.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3, NaN, 0]);\n *\n * x.sign().print();  // or tf.sign(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sign_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sign');\n\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.sign($x), {$x}, grad);\n}\n\n/**\n * RReturns which elements of x are NaN.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isNaN().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isNaN_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isNaN');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isNaN($x), {$x}, grad);\n}\n\n/**\n * Returns which elements of x are Infinity or -Infinity.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isInf().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isInf_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isInf');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isInf($x), {$x}, grad);\n}\n\n/**\n * Returns which elements of x are finite.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isFinite().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isFinite_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isFinite');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isFinite($x), {$x}, grad);\n}\n\n/**\n * Computes round of input `tf.Tensor` element-wise: `round(x)`.\n * It implements banker's rounding.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.round().print();  // or tf.round(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction round_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'round');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.round($x), {$x}, grad);\n}\n\n/**\n * Computes exponential of the input `tf.Tensor` element-wise. `e ^ x`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, -3]);\n *\n * x.exp().print();  // or tf.exp(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction exp_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'exp');\n\n  const bck = (dy: T, saved: Tensor[]) => {\n    return {x: () => dy.mulStrict(saved[0] as T)};\n  };\n  const attrs = {};\n  const inputsToSave: Tensor[] = [];\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.exp($x);\n    save([y]);\n    return y;\n  }, {x: $x}, bck, 'Exp', attrs, inputsToSave, outputsToSave);\n}\n\n/**\n * Computes exponential of the input `tf.Tensor` minus one element-wise.\n * `e ^ x - 1`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, -3]);\n *\n * x.expm1().print();  // or tf.expm1(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction expm1_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'expm1');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.exp())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.expm1($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes natural logarithm of the input `tf.Tensor` element-wise: `ln(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.E]);\n *\n * x.log().print();  // or tf.log(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction log_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'log');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.div($x.toFloat())} as {x: () => T};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$x];\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.log($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Log', attrs, inputsToSave);\n}\n\n/**\n * Computes natural logarithm of the input `tf.Tensor` plus one\n * element-wise: `ln(1 + x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.E - 1]);\n *\n * x.log1p().print();  // or tf.log1p(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction log1p_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'log1p');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.add(1))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.log1p($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes square root of the input `tf.Tensor` element-wise: `y = sqrt(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 4, -1]);\n *\n * x.sqrt().print();  // or tf.sqrt(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sqrt_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sqrt');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.toFloat().sqrt().mul(2))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sqrt($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes reciprocal of square root of the input `tf.Tensor` element-wise:\n * `y = 1 / sqrt(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 4, -1]);\n *\n * x.rsqrt().print();  // or tf.rsqrt(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction rsqrt_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'rsqrt');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.div($x.pow(1.5).mul(2)).neg() as T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.rsqrt($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Rsqrt', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes reciprocal of x element-wise: `1 / x`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, 2]);\n *\n * x.reciprocal().print();  // or tf.reciprocal(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction reciprocal_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'reciprocal');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.square().neg())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.reciprocal($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes absolute value element-wise: `abs(x)`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.abs().print();  // or tf.abs(x)\n * ```\n * @param x The input `tf.Tensor`.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction abs_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'abs');\n\n  if ($x.dtype === 'complex64') {\n    return ENGINE.runKernelFunc(backend => backend.complexAbs($x), {$x});\n  }\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.mul($x.toFloat().step(-1))} as {x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.abs($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Abs');\n}\n\n/**\n * Clips values element-wise. `max(min(x, clipValueMax), clipValueMin)`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.clipByValue(-2, 3).print();  // or tf.clipByValue(x, -2, 3)\n * ```\n * @param x The input tensor.\n * @param clipValueMin Lower-bound of range to be clipped to.\n * @param clipValueMax Upper-bound of range to be clipped to.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction clipByValue_<T extends Tensor>(\n    x: T|TensorLike, clipValueMin: number, clipValueMax: number): T {\n  const $x = convertToTensor(x, 'x', 'clipByValue');\n  util.assert(\n      (clipValueMin <= clipValueMax),\n      () => `Error in clip: min (${clipValueMin}) must be ` +\n          `less than or equal to max (${clipValueMax}).`);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      x: () => dy.where(\n                   $x.greaterEqual(clipValueMin)\n                       .logicalAnd($x.lessEqual(clipValueMax)),\n                   zerosLike(dy)) as T,\n    };\n  };\n  const inputsToSave = [$x];\n  const attr = {min: clipValueMin, max: clipValueMax};\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.clip($x, clipValueMin, clipValueMax);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'ClipByValue', attr, inputsToSave);\n}\n\n/**\n * Computes sigmoid element-wise, `1 / (1 + exp(-x))`\n *\n * ```js\n * const x = tf.tensor1d([0, -1, 2, -3]);\n *\n * x.sigmoid().print();  // or tf.sigmoid(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sigmoid_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sigmoid');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {x: () => dy.mul(y.mul(scalar(1).sub(y)))} as {x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.sigmoid($x);\n    save([y]);\n    return y;\n  }, {x: $x}, grad, 'Sigmoid');\n}\n\n/**\n * Computes log sigmoid of the input `tf.Tensor` element-wise:\n * `logSigmoid(x)`. For numerical stability, we use `-tf.softplus(-x)`.\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.logSigmoid().print();  // or tf.logSigmoid(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction logSigmoid_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'logSigmoid');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.neg().sigmoid())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.softplus($x.neg()).neg();\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes softplus of the input `tf.Tensor` element-wise: `log(exp(x) + 1)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.softplus().print();  // or tf.softplus(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction softplus_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'softplus');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.sigmoid())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.softplus($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes sin of the input Tensor element-wise: `sin(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.sin().print();  // or tf.sin(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sin_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sin');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => $x.toFloat().cos().mul(dy)} as {x: () => T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sin($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Sin', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes cos of the input `tf.Tensor` element-wise: `cos(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.cos().print();  // or tf.cos(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction cos_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'cos');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => $x.toFloat().sin().neg().mul(dy)} as {x: () => T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.cos($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Cos', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes tan of the input `tf.Tensor` element-wise, `tan(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.tan().print();  // or tf.tan(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction tan_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'tan');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.cos().square())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.tan($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes asin of the input `tf.Tensor` element-wise: `asin(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.asin().print();  // or tf.asin(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction asin_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'asin');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.divStrict(scalar(1).sub($x.toFloat().square()).sqrt() as T)\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.asin($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes acos of the input `tf.Tensor` element-wise: `acos(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.acos().print();  // or tf.acos(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction acos_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'acos');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () =>\n          dy.divStrict(scalar(1).sub($x.toFloat().square()).sqrt() as T).neg()\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.acos($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes atan of the input `tf.Tensor` element-wise: `atan(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.atan().print();  // or tf.atan(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atan_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'atan');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.toFloat().square().add(1))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atan($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic sin of the input `tf.Tensor` element-wise: `sinh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.sinh().print();  // or tf.sinh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sinh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sinh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => $x.toFloat().cosh().mulStrict(dy) as T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sinh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic cos of the input `tf.Tensor` element-wise: `cosh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.cosh().print();  // or tf.cosh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction cosh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'cosh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => $x.toFloat().sinh().mulStrict(dy) as T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.cosh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic tangent of the input `tf.Tensor` element-wise: `tanh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, 70]);\n *\n * x.tanh().print();  // or tf.tanh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction tanh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'tanh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {x: () => scalar(1).sub(y.square()).mulStrict(dy) as T};\n  };\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.tanh($x);\n        save([y]);\n        return y;\n      },\n      {x: $x}, grad, 'Tanh', {} /* attrs */, null /* inputsToSave */,\n      outputsToSave);\n}\n\n/**\n * Computes inverse hyperbolic sin of the input `tf.Tensor` element-wise:\n * `asinh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.asinh().print();  // or tf.asinh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction asinh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'asinh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.divStrict(scalar(1).add($x.toFloat().square()).sqrt() as T)\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.asinh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes the inverse hyperbolic cos of the input `tf.Tensor` element-wise:\n * `acosh(x)`\n *\n * ```js\n * const x = tf.tensor1d([10, 1, 3, 5.7]);\n *\n * x.acosh().print();  // or tf.acosh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction acosh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'acosh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.divStrict($x.toFloat().square().sub(1).sqrt() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.acosh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes inverse hyperbolic tan of the input `tf.Tensor` element-wise:\n * `atanh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, .1, -.1, .7]);\n *\n * x.atanh().print();  // or tf.atanh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atanh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'atanh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div(scalar(1).sub($x.toFloat().square()))} as\n        {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atanh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes gause error function of the input `tf.Tensor` element-wise:\n * `erf(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, .1, -.1, .7]);\n *\n * x.erf().print(); // or tf.erf(x);\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction erf_<T extends Tensor>(x: T|TensorLike): T {\n  let $x = convertToTensor(x, 'x', 'erf');\n  util.assert(\n      $x.dtype === 'int32' || $x.dtype === 'float32',\n      () => 'Input dtype must be `int32` or `float32`.');\n\n  if ($x.dtype === 'int32') {\n    $x = $x.toFloat();\n  }\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.mul($x.square().neg().exp().mul(2 / Math.sqrt(Math.PI)))\n    } as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.erf($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes step of the input `tf.Tensor` element-wise: `x > 0 ? 1 : alpha * x`\n *\n * ```js\n * const x = tf.tensor1d([0, 2, -1, -3]);\n *\n * x.step(.5).print();  // or tf.step(x, .5)\n * ```\n * @param x The input tensor.\n * @param alpha The gradient when input is negative.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction step_<T extends Tensor>(x: T|TensorLike, alpha = 0.0): T {\n  const $x = convertToTensor(x, 'x', 'step');\n\n  // TODO(manrajgrover): Return null for gradients when backprop supports\n  // it.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.step($x, alpha), {$x}, grad);\n}\n\nexport const abs = op({abs_});\nexport const acos = op({acos_});\nexport const acosh = op({acosh_});\nexport const asin = op({asin_});\nexport const asinh = op({asinh_});\nexport const atan = op({atan_});\nexport const atanh = op({atanh_});\nexport const ceil = op({ceil_});\nexport const clipByValue = op({clipByValue_});\nexport const cos = op({cos_});\nexport const cosh = op({cosh_});\nexport const erf = op({erf_});\nexport const exp = op({exp_});\nexport const expm1 = op({expm1_});\nexport const floor = op({floor_});\nexport const log = op({log_});\nexport const log1p = op({log1p_});\nexport const logSigmoid = op({logSigmoid_});\nexport const neg = op({neg_});\nexport const reciprocal = op({reciprocal_});\nexport const round = op({round_});\nexport const rsqrt = op({rsqrt_});\nexport const sigmoid = op({sigmoid_});\nexport const sign = op({sign_});\nexport const isNaN = op({isNaN_});\nexport const isInf = op({isInf_});\nexport const isFinite = op({isFinite_});\nexport const sin = op({sin_});\nexport const sinh = op({sinh_});\nexport const softplus = op({softplus_});\nexport const sqrt = op({sqrt_});\nexport const step = op({step_});\nexport const tan = op({tan_});\nexport const tanh = op({tanh_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {deprecationWarn} from '../globals';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ShapeMap, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {tile} from './array_ops';\nimport {getReductionAxes} from './broadcast_util';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\nimport {rsqrt} from './unary_ops';\n\n/**\n * Batch normalization, strictly for 2D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm2d_(\n    x: Tensor2D|TensorLike, mean: Tensor2D|Tensor1D|TensorLike,\n    variance: Tensor2D|Tensor1D|TensorLike,\n    offset?: Tensor2D|Tensor1D|TensorLike, scale?: Tensor2D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor2D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor2D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 2,\n      () => `Error in batchNorm3D: x must be rank 3 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 2 || $mean.rank === 1,\n      () => `Error in batchNorm2D: mean must be rank 2 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 2 || $variance.rank === 1,\n      () => `Error in batchNorm2D: variance must be rank 2 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 2 || $scale.rank === 1,\n        () => `Error in batchNorm2D: scale must be rank 2 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 2 || $offset.rank === 1,\n        () => `Error in batchNorm2D: offset must be rank 2 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n\n  return batchNorm_($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * Batch normalization, strictly for 3D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm3d_(\n    x: Tensor3D|TensorLike, mean: Tensor3D|Tensor1D|TensorLike,\n    variance: Tensor3D|Tensor1D|TensorLike,\n    offset?: Tensor3D|Tensor1D|TensorLike, scale?: Tensor3D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor3D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor3D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 3,\n      () => `Error in batchNorm3D: x must be rank 3 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 3 || $mean.rank === 1,\n      () => `Error in batchNorm3D: mean must be rank 3 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 3 || $variance.rank === 1,\n      () => `Error in batchNorm3D: variance must be rank 3 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 3 || $scale.rank === 1,\n        () => `Error in batchNorm3D: scale must be rank 3 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 3 || $offset.rank === 1,\n        () => `Error in batchNorm3D: offset must be rank 3 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n\n  return batchNorm_($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * Batch normalization, strictly for 4D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm4d_(\n    x: Tensor4D|TensorLike, mean: Tensor4D|Tensor1D|TensorLike,\n    variance: Tensor4D|Tensor1D|TensorLike,\n    offset?: Tensor4D|Tensor1D|TensorLike, scale?: Tensor4D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor4D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor4D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 4,\n      () => `Error in batchNorm4D: x must be rank 4 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 4 || $mean.rank === 1,\n      () => `Error in batchNorm4D: mean must be rank 4 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 4 || $variance.rank === 1,\n      () => `Error in batchNorm4D: variance must be rank 4 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 4 || $scale.rank === 1,\n        () => `Error in batchNorm4D: scale must be rank 4 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 4 || $offset.rank === 1,\n        () => `Error in batchNorm4D: offset must be rank 4 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n  return batchNorm_($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization_<R extends Rank>(\n    x: Tensor<R>|TensorLike, mean: Tensor<R>|Tensor1D|TensorLike,\n    variance: Tensor<R>|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor<R>|Tensor1D|TensorLike,\n    offset?: Tensor<R>|Tensor1D|TensorLike): Tensor<R> {\n  warnDeprecation();\n  return batchNorm_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n/**\n * Batch normalization.\n *\n * As described in\n * [http://arxiv.org/abs/1502.03167](http://arxiv.org/abs/1502.03167).\n *\n * Mean, variance, scale, and offset can be of two shapes:\n *   - The same shape as the input.\n *   - In the common case, the depth dimension is the last dimension of x, so\n *     the values would be an `tf.Tensor1D` of shape [depth].\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that parameters passed are of given rank\n *   - `tf.batchNorm2d`\n *   - `tf.batchNorm3d`\n *   - `tf.batchNorm4d`\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction batchNorm_<R extends Rank>(\n    x: Tensor<R>|TensorLike, mean: Tensor<R>|Tensor1D|TensorLike,\n    variance: Tensor<R>|Tensor1D|TensorLike,\n    offset?: Tensor<R>|Tensor1D|TensorLike,\n    scale?: Tensor<R>|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor<R> {\n  if (varianceEpsilon == null) {\n    varianceEpsilon = 0.001;\n  }\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor<R>|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor<R>|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n\n  util.assert(\n      $mean.rank === $variance.rank,\n      () => 'Batch normalization gradient requires mean and variance to have ' +\n          'equal ranks.');\n  util.assert(\n      $offset == null || $mean.rank === $offset.rank,\n      () => 'Batch normalization gradient requires mean and offset to have ' +\n          'equal ranks.');\n  util.assert(\n      $scale == null || $mean.rank === $scale.rank,\n      () => 'Batch normalization gradient requires mean and scale to have ' +\n          'equal ranks.');\n\n  let x4D: Tensor4D;\n  if ($x.rank === 0 || $x.rank === 1) {\n    x4D = $x.as4D(1, 1, 1, $x.size);\n  } else if ($x.rank === 2) {\n    x4D = $x.as4D(1, 1, $x.shape[0], $x.shape[1]);\n  } else if ($x.rank === 3) {\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  } else {\n    x4D = $x as Tensor4D;\n  }\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    type Saved = [\n      Tensor<R>, Tensor<R>| Tensor1D, Tensor<R>| Tensor1D, Tensor<R>| Tensor1D\n    ];\n    const [$x, $mean, $variance, $scale] = saved as Saved;\n    const scaleValue = $scale == null ? scalar(1) : $scale;\n    const reductionAxes = getReductionAxes($mean.shape, x4D.shape);\n    const tileShape: number[] = [];\n    if ($mean.rank === 1) {\n      for (let i = 0; i < x4D.shape.length - 1; ++i) {\n        tileShape.push(x4D.shape[i]);\n      }\n      tileShape.push(1);\n    }\n\n    const xMinusMean = $x.sub($mean);\n    const dyTimesScaleValue = dy.mul(scaleValue);\n    const oneOverSqrtVariance = rsqrt($variance.add(scalar(varianceEpsilon)));\n    const minusHalfRCube = oneOverSqrtVariance.mul(oneOverSqrtVariance)\n                               .mul(oneOverSqrtVariance)\n                               .mul(scalar(-0.5));\n\n    const derX = () => {\n      if ($mean.rank === 1) {\n        return dy\n            .mul(tile(\n                oneOverSqrtVariance.as4D(1, 1, 1, $mean.shape[0]), tileShape))\n            .mul(scaleValue)\n            .reshape($x.shape);\n      } else {\n        return dy.mul(oneOverSqrtVariance).mul(scaleValue).reshape($x.shape);\n      }\n    };\n    const derMean = () => {\n      let meanDer = oneOverSqrtVariance.mul(scalar(-1)).mul(dyTimesScaleValue);\n      if ($mean.rank === 1) {\n        meanDer = meanDer.sum(reductionAxes);\n      }\n      return meanDer.reshape($mean.shape as ShapeMap[R]);\n    };\n    const derVariance = () => {\n      let varianceDer = minusHalfRCube.mul(xMinusMean).mul(dyTimesScaleValue);\n      if ($mean.rank === 1) {\n        varianceDer = varianceDer.sum(reductionAxes);\n      }\n      return varianceDer.reshape($mean.shape as ShapeMap[R]);\n    };\n    const derScale = () => {\n      const xMinusMean2TimesRsqrt = xMinusMean.mul(oneOverSqrtVariance);\n      let scaleDer = dy.mul(xMinusMean2TimesRsqrt);\n      if ($mean.rank === 1) {\n        scaleDer = scaleDer.sum(reductionAxes);\n      }\n      return scaleDer.reshape($mean.shape as ShapeMap[R]);\n    };\n    const derOffset = () => {\n      let offsetDer = dy;\n      if ($mean.rank === 1) {\n        offsetDer = offsetDer.sum(reductionAxes);\n      }\n      return offsetDer.reshape($mean.shape as ShapeMap[R]);\n    };\n    return {\n      x: derX,\n      mean: derMean,\n      variance: derVariance,\n      scale: derScale,\n      offset: derOffset\n    };\n  };\n\n  const inputsToSave = [$x, $mean, $variance, $scale];\n\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.batchNormalization(\n            x4D, batchnormReshape4D($mean), batchnormReshape4D($variance),\n            varianceEpsilon, batchnormReshape4D($scale),\n            batchnormReshape4D($offset));\n        save([$x, $mean, $variance, $scale]);\n        return res;\n      },\n      {x: $x, mean: $mean, variance: $variance, scale: $scale, offset: $offset},\n      der, 'BatchNormalization', {varianceEpsilon}, inputsToSave);\n  return res.reshape($x.shape);\n}\n\nfunction batchnormReshape4D(x: Tensor): Tensor4D|Tensor1D {\n  if (x == null) {\n    return null;\n  }\n  if (x.rank === 0) {\n    return x.as1D();\n  } else if (x.rank === 1) {\n    return x as Tensor1D;\n  } else if (x.rank === 2) {\n    return x.as4D(1, 1, x.shape[0], x.shape[1]);\n  } else if (x.rank === 3) {\n    return x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  return x as Tensor4D;\n}\n\n/**\n * @deprecated Please use `tf.batchNorm2d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization2d_(\n    x: Tensor2D|TensorLike, mean: Tensor2D|Tensor1D|TensorLike,\n    variance: Tensor2D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor2D|Tensor1D|TensorLike,\n    offset?: Tensor2D|Tensor1D|TensorLike): Tensor2D {\n  warnDeprecation();\n  return batchNorm2d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm3d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization3d_(\n    x: Tensor3D|TensorLike, mean: Tensor3D|Tensor1D|TensorLike,\n    variance: Tensor3D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor3D|Tensor1D|TensorLike,\n    offset?: Tensor3D|Tensor1D|TensorLike): Tensor3D {\n  warnDeprecation();\n  return batchNorm3d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm4d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization4d_(\n    x: Tensor4D|TensorLike, mean: Tensor4D|Tensor1D|TensorLike,\n    variance: Tensor4D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor4D|Tensor1D|TensorLike,\n    offset?: Tensor4D|Tensor1D|TensorLike): Tensor4D {\n  warnDeprecation();\n  return batchNorm4d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\nfunction warnDeprecation() {\n  deprecationWarn(\n      'tf.batchNormalization() is going away. ' +\n      'Use tf.batchNorm() instead, and note the positional argument change ' +\n      'of scale, offset, and varianceEpsilon');\n}\n\nexport const batchNormalization2d = op({batchNormalization2d_});\nexport const batchNormalization3d = op({batchNormalization3d_});\nexport const batchNormalization4d = op({batchNormalization4d_});\nexport const batchNormalization = op({batchNormalization_});\n\nexport const batchNorm = op({batchNorm_});\nexport const batchNorm2d = op({batchNorm2d_});\nexport const batchNorm3d = op({batchNorm3d_});\nexport const batchNorm4d = op({batchNorm4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {whereImpl} from '../backends/where_impl';\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, assertShapesMatch} from '../util';\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Returns the truth value of `NOT x` element-wise.\n *\n * ```js\n * const a = tf.tensor1d([false, true], 'bool');\n *\n * a.logicalNot().print();\n * ```\n *\n * @param x The input tensor. Must be of dtype 'bool'.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalNot_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'logicalNot', 'bool');\n  return ENGINE.runKernelFunc(backend => backend.logicalNot($x), {$x});\n}\n\n/**\n * Returns the truth value of `a AND b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalAnd(b).print();\n * ```\n *\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalAnd_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalAnd', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalAnd', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.logicalAnd($a, $b), {a: $a, b: $b},\n             null /* grad */, 'LogicalAnd') as T;\n}\n\n/**\n * Returns the truth value of `a OR b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalOr(b).print();\n * ```\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalOr_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalOr', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalOr', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(backend => backend.logicalOr($a, $b), {$a, $b}) as\n      T;\n}\n\n/**\n * Returns the truth value of `a XOR b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalXor(b).print();\n * ```\n *\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalXor_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalXor', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalXor', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  // x ^ y = (x | y) & ~(x & y)\n  return logicalOr(a, b).logicalAnd(logicalAnd(a, b).logicalNot()) as T;\n}\n\n/**\n * Returns the elements, either `a` or `b` depending on the `condition`.\n *\n * If the condition is true, select from `a`, otherwise select from `b`.\n *\n * ```js\n * const cond = tf.tensor1d([false, false, true], 'bool');\n * const a = tf.tensor1d([1 , 2, 3]);\n * const b = tf.tensor1d([-1, -2, -3]);\n *\n * a.where(cond, b).print();\n * ```\n *\n * @param condition The input condition. Must be of dtype bool.\n * @param a If `condition` is rank 1, `a` may have a higher rank but\n *     its first dimension must match the size of `condition`.\n * @param b A tensor with the same shape and type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction where_<T extends Tensor>(\n    condition: Tensor|TensorLike, a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'where');\n  const $b = convertToTensor(b, 'b', 'where');\n  const $condition = convertToTensor(condition, 'condition', 'where', 'bool');\n\n  assertShapesMatch($a.shape, $b.shape, 'Error in where: ');\n\n  if ($condition.rank === 1) {\n    // If condition rank is 1, then the first dimension must match the size of\n    // condition.\n    assert(\n        $condition.shape[0] === $a.shape[0],\n        () => 'The first dimension of `a` must match the size of `condition`.');\n  } else {\n    // A must have the same shape as condition.\n    assertShapesMatch($condition.shape, $b.shape, 'Error in where: ');\n  }\n\n  // TODO(julianoks): Return null for condition gradient\n  // when backprop supports it.\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$condition] = saved;\n    return {\n      $condition: () => zerosLike($condition).toFloat(),\n      $a: () => dy.mul($condition.cast(dy.dtype)),\n      $b: () => dy.mul($condition.logicalNot().cast(dy.dtype))\n    } as {$a: () => T, $b: () => T, $condition: () => T};\n  };\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.select($condition, $a, $b);\n    save([$condition]);\n    return res;\n  }, {$condition, $a, $b}, grad) as T;\n}\n\n/**\n * Returns the coordinates of true elements of condition.\n *\n * The coordinates are returned in a 2-D tensor where the first dimension (rows)\n * represents the number of true elements, and the second dimension (columns)\n * represents the coordinates of the true elements. Keep in mind, the shape of\n * the output tensor can vary depending on how many true values there are in\n * input. Indices are output in row-major order. The resulting tensor has the\n * shape `[numTrueElems, condition.rank]`.\n *\n * This is analogous to calling the python `tf.where(cond)` without an x or y.\n *\n * ```js\n * const cond = tf.tensor1d([false, false, true], 'bool');\n * const result = await tf.whereAsync(cond);\n * result.print();\n * ```\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nasync function whereAsync_(condition: Tensor|TensorLike): Promise<Tensor2D> {\n  const $condition =\n      convertToTensor(condition, 'condition', 'whereAsync', 'bool');\n  const vals = await $condition.data();\n  const res = whereImpl($condition.shape, vals);\n  if (condition !== $condition) {\n    $condition.dispose();\n  }\n  return res;\n}\n\nexport const logicalAnd = op({logicalAnd_});\nexport const logicalNot = op({logicalNot_});\nexport const logicalOr = op({logicalOr_});\nexport const logicalXor = op({logicalXor_});\nexport const where = op({where_});\nexport const whereAsync = whereAsync_;\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike, upcastType} from '../types';\nimport * as util from '../util';\nimport * as broadcast_util from './broadcast_util';\nimport {where} from './logical_ops';\nimport {op} from './operation';\nimport {scalar, zerosLike} from './tensor_ops';\nimport {neg} from './unary_ops';\n\n/**\n * Adds two `tf.Tensor`s element-wise, A + B. Supports broadcasting.\n *\n * We also expose `tf.addStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([10, 20, 30, 40]);\n *\n * a.add(b).print();  // or tf.add(a, b)\n * ```\n *\n * ```js\n * // Broadcast add a with b.\n * const a = tf.scalar(5);\n * const b = tf.tensor1d([10, 20, 30, 40]);\n *\n * a.add(b).print();  // or tf.add(a, b)\n * ```\n * @param a The first `tf.Tensor` to add.\n * @param b The second `tf.Tensor` to add. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction add_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'add');\n  let $b = convertToTensor(b, 'b', 'add');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor) => {\n    const derA = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($b.shape);\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc(\n             backend => backend.add($a, $b), {a: $a, b: $b}, der, 'Add') as T;\n}\n\n/**\n * Adds a list of `tf.Tensor`s element-wise, each with the same shape and dtype.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n *\n * tf.addN([a, b, c]).print();\n * ```\n * @param tensors A list of tensors with the same shape and dtype.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction addN_<T extends Tensor>(tensors: Array<T|TensorLike>): T {\n  util.assert(\n      Array.isArray(tensors),\n      () => 'The argument passed to tf.addN() must be a list of tensors');\n  util.assert(\n      tensors.length >= 1,\n      () => `Must pass at least one tensor to tf.addN(), but got ` +\n          `${tensors.length}`);\n  const $tensors =\n      tensors.map((t, i) => convertToTensor(t, `tensors${i}`, 'addN'));\n  const firstTensor = $tensors[0];\n  $tensors.forEach(t => {\n    if (t.dtype !== firstTensor.dtype) {\n      throw new Error(\n          'All tensors passed to tf.addN() must have the same dtype');\n    }\n  });\n  $tensors.forEach(t => {\n    if (!util.arraysEqual(t.shape, firstTensor.shape)) {\n      throw new Error(\n          'All tensors passed to tf.addN() must have the same shape');\n    }\n  });\n\n  const der = (dy: T) => {\n    const ders: {[key: string]: () => Tensor} = {};\n    $tensors.forEach((t, i) => {\n      ders[i] = () => dy.clone();\n    });\n    return ders;\n  };\n  const inputs: NamedTensorMap = $tensors as {} as NamedTensorMap;\n  return ENGINE.runKernelFunc(\n      backend => backend.addN($tensors), inputs, der, 'AddN');\n}\n\n/**\n * Adds two `tf.Tensor`s element-wise, A + B.\n *\n * Inputs must be the same shape. For broadcasting support, use add() instead.\n *\n * @param a The first Tensor to add element-wise.\n * @param b The second Tensor to add element-wise.\n */\nfunction addStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'addStrict');\n  const $b = convertToTensor(b, 'b', 'addStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in addStrict: ');\n  return $a.add($b);\n}\n\n/**\n * Subtracts two `tf.Tensor`s element-wise, A - B. Supports broadcasting.\n *\n * We also expose `tf.subStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([10, 20, 30, 40]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.sub(b).print();  // or tf.sub(a, b)\n * ```\n *\n * ```js\n * // Broadcast subtract a with b.\n * const a = tf.tensor1d([10, 20, 30, 40]);\n * const b = tf.scalar(5);\n *\n * a.sub(b).print();  // or tf.sub(a, b)\n * ```\n * @param a The first `tf.Tensor` to subtract from.\n * @param b The second `tf.Tensor` to be subtracted. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction sub_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'sub');\n  let $b = convertToTensor(b, 'b', 'sub');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor) => {\n    const derA = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.neg().reshape($b.shape);\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc(\n             backend => backend.subtract($a, $b), {a: $a, b: $b}, der, 'Sub') as\n      T;\n}\n\n/**\n * Subtracts two `tf.Tensor`s element-wise, A - B. Inputs must\n * be the same shape.\n *\n * For broadcasting support, use `tf.sub` instead.\n *\n * @param a The first Tensor to subtract element-wise.\n * @param b The second Tensor to subtract element-wise.\n */\nfunction subStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'subStrict');\n  const $b = convertToTensor(b, 'b', 'subStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in subStrict: ');\n  return $a.sub($b);\n}\n\n/**\n * Computes the power of one `tf.Tensor` to another. Supports broadcasting.\n *\n * Given a `tf.Tensor` x and a `tf.Tensor` y, this operation computes x^y for\n * corresponding elements in x and y. The result's dtype will be the upcasted\n * type of the `base` and `exp` dtypes.\n *\n * ```js\n * const a = tf.tensor([[2, 3], [4, 5]])\n * const b = tf.tensor([[1, 2], [3, 0]]).toInt();\n *\n * a.pow(b).print();  // or tf.pow(a, b)\n * ```\n *\n * ```js\n * const a = tf.tensor([[1, 2], [3, 4]])\n * const b = tf.tensor(2).toInt();\n *\n * a.pow(b).print();  // or tf.pow(a, b)\n * ```\n * We also expose `powStrict` which has the same signature as this op and\n * asserts that `base` and `exp` are the same shape (does not broadcast).\n *\n * @param base The base `tf.Tensor` to pow element-wise.\n * @param exp The exponent `tf.Tensor` to pow element-wise.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction pow_<T extends Tensor>(base: T|TensorLike, exp: Tensor|TensorLike): T {\n  const $base = convertToTensor(base, 'base', 'pow');\n  const $exp = convertToTensor(exp, 'exp', 'pow');\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($base.shape, $exp.shape);\n  base = $base.cast(upcastType($base.dtype, $exp.dtype));\n  exp = $exp.cast(upcastType($base.dtype, $exp.dtype));\n  const grad = (dy: Tensor, saved: Tensor[]) => {\n    const [$base, $exp, y] = saved;\n    const derBase = () => {\n      const expFloat = $exp.toFloat();\n      let res = dy.mul(expFloat.mul($base.pow(expFloat.sub(scalar(1)))));\n      const reduceAxes = broadcast_util.getReductionAxes($base.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($base.shape) as T;\n    };\n    const derExp = () => {\n      const condition = $base.greater(0);\n      const logBase = $base.log().where(condition, zerosLike($base));\n      let res = dy.mul(y.mul(logBase));\n      const reduceAxes = broadcast_util.getReductionAxes($exp.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($exp.shape);\n    };\n    return {$base: derBase, $exp: derExp};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.pow($base, $exp);\n    save([$base, $exp, y]);\n    return y;\n  }, {$base, $exp}, grad) as T;\n}\n\n/**\n * Computes the power of one `tf.Tensor` to another. Inputs must\n * be the same shape.\n *\n * For broadcasting support, use `tf.pow` instead.\n *\n * @param base The base tensor to pow element-wise.\n * @param exp The exponent tensor to pow element-wise.\n */\nfunction powStrict_<T extends Tensor>(base: T, exp: Tensor): T {\n  util.assertShapesMatch(base.shape, exp.shape, 'Error in powStrict: ');\n  return base.pow(exp);\n}\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B. Supports broadcasting.\n *\n * We also expose `tf.mulStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([2, 3, 4, 5]);\n *\n * a.mul(b).print();  // or tf.mul(a, b)\n * ```\n *\n * ```js\n * // Broadcast mul a with b.\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.scalar(5);\n *\n * a.mul(b).print();  // or tf.mul(a, b)\n * ```\n * @param a The first tensor to multiply.\n * @param b The second tensor to multiply. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction mul_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'mul');\n  let $b = convertToTensor(b, 'b', 'mul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.mul($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      const res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($b.shape);\n      }\n      return res;\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.multiply($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Mul') as T;\n}\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B.\n *\n * Inputs must be the same shape. For broadcasting support, use `tf.mul`.\n *\n * @param a The first tensor to multiply.\n * @param b The first tensor to multiply. Must have the same\n *    dtype as `a`.\n */\nfunction mulStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'mul');\n  const $b = convertToTensor(b, 'b', 'mul');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in multiplyStrict: ');\n  return $a.mul($b);\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.\n *\n * We also expose `tf.divStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.div(b).print();  // or tf.div(a, b)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n *\n * a.div(b).print();  // or tf.div(a, b)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction div_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'div');\n  let $b = convertToTensor(b, 'b', 'div');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'int32' && $b.dtype === 'int32') {\n    return floorDiv($a, $b);\n  }\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.div($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      let res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes).reshape($b.shape);\n      }\n      const tmp = $b.square();\n      return res.div(tmp.toFloat()).neg();\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.realDivide($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Div') as T;\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting. Return 0\n * if denominator is 0.\n *\n * We also expose `tf.divStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n * const c = tf.tensor1d([0, 0, 0, 0]);\n *\n * a.divNoNan(b).print();  // or tf.divNoNan(a, b)\n * a.divNoNan(c).print();  // or tf.divNoNan(a, c)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n * const c = tf.scalar(0);\n *\n * a.divNoNan(b).print();  // or tf.divNoNan(a, b)\n * a.divNoNan(c).print();  // or tf.divNoNan(a, c)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction divNoNan_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'div');\n  let $b = convertToTensor(b, 'b', 'div');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const divResult = div($a, $b);\n  const zeros = zerosLike(divResult);\n  const bEqualsZero = $b.equal(zeros);\n  return where(bEqualsZero, zeros, divResult) as T;\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.\n * The result is rounded with floor function.\n *\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.floorDiv(b).print();  // or tf.div(a, b)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n *\n * a.floorDiv(b).print();  // or tf.floorDiv(a, b)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction floorDiv_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'floorDiv');\n  let $b = convertToTensor(b, 'b', 'floorDiv');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.div($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      let res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes).reshape($b.shape);\n      }\n      const tmp = $b.square();\n      return res.div(tmp.toFloat()).neg();\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.floorDiv($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'FloorDiv') as T;\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Inputs must\n * be the same shape.\n *\n * @param a The first tensor as the numerator for element-wise division.\n * @param b The second tensor as the denominator for element-wise division.\n */\nfunction divStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'div');\n  const $b = convertToTensor(b, 'b', 'div');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in divideStrict: ');\n  return $a.div($b);\n}\n\n/**\n * Returns the mod of a and b element-wise.\n * `floor(x / y) * y + mod(x, y) = x`\n * Supports broadcasting.\n *\n * We also expose `tf.modStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.mod(b).print();  // or tf.mod(a, b)\n * ```\n *\n * ```js\n * // Broadcast a mod b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.mod(b).print();  // or tf.mod(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction mod_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'mod');\n  let $b = convertToTensor(b, 'b', 'mod');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return dy.sum(reduceAxes).reshape($a.shape);\n      }\n      return dy;\n    };\n    const derB = () => {\n      const res = dy.mul($a.div($b).floor().neg());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($b.shape);\n      }\n      return res;\n    };\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.mod($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\n/**\n * Returns the mod of a and b (`a < b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use mod().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction modStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'modStrict');\n  const $b = convertToTensor(b, 'b', 'modStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in modStrict: ');\n  return $a.mod($b);\n}\n\n/**\n * Returns the min of a and b (`a < b ? a : b`) element-wise.\n * Supports broadcasting.\n *\n * We also expose `minimumStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.minimum(b).print();  // or tf.minimum(a, b)\n * ```\n *\n * ```js\n * // Broadcast minimum a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.minimum(b).print();  // or tf.minimum(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction minimum_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'minimum');\n  let $b = convertToTensor(b, 'b', 'minimum');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'bool') {\n    $a = $a.toInt();\n    $b = $b.toInt();\n  }\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => dy.mul($a.lessEqual($b).toFloat());\n    const derB = () => dy.mul($a.greater($b).toFloat());\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.minimum($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Minimum') as T;\n}\n\n/**\n * Returns the min of a and b (`a < b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use minimum().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction minimumStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'minimumStrict');\n  const $b = convertToTensor(b, 'b', 'minimumStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in minimumStrict: ');\n  return $a.minimum($b);\n}\n\n/**\n * Returns the max of a and b (`a > b ? a : b`) element-wise.\n * Supports broadcasting.\n *\n * We also expose `tf.maximumStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.maximum(b).print();  // or tf.maximum(a, b)\n * ```\n *\n * ```js\n * // Broadcast maximum a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.maximum(b).print();  // or tf.maximum(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction maximum_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'maximum');\n  let $b = convertToTensor(b, 'b', 'maximum');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'bool') {\n    $a = $a.toInt();\n    $b = $b.toInt();\n  }\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => dy.mul($a.greaterEqual($b).toFloat());\n    const derB = () => dy.mul($a.less($b).toFloat());\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.maximum($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Maximum') as T;\n}\n\n/**\n * Returns the max of a and b (`a > b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use maximum().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction maximumStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'maximumStrict');\n  const $b = convertToTensor(b, 'b', 'maximumStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in maximumStrict: ');\n  return $a.maximum($b);\n}\n\n/**\n * Returns (a - b) * (a - b) element-wise.\n * Supports broadcasting.\n *\n * We also expose `tf.squaredDifferenceStrict` which has the same signature as\n * this op and asserts that `a` and `b` are the same shape (does not\n * broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.squaredDifference(b).print();  // or tf.squaredDifference(a, b)\n * ```\n *\n * ```js\n * // Broadcast squared difference  a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.squaredDifference(b).print();  // or tf.squaredDifference(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction squaredDifference_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'squaredDifference');\n  let $b = convertToTensor(b, 'b', 'squaredDifference');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const two = scalar(2);\n    const derA = () => dy.mul($a.sub($b).mul(two));\n    const derB = () => dy.mul($b.sub($a).mul(two));\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.squaredDifference($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\n/**\n * Returns (a - b) * (a - b) element-wise.\n *\n * Inputs must be the same shape. For broadcasting support, use\n * `tf.squaredDifference` instead.\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\nfunction squaredDifferenceStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'squaredDifferenceStrict');\n  const $b = convertToTensor(b, 'b', 'squaredDifferenceStrict');\n  util.assertShapesMatch(\n      $a.shape, $b.shape, 'Error in squaredDifferenceStrict: ');\n  return $a.squaredDifference($b);\n}\n\n/**\n * Computes arctangent of `tf.Tensor`s a / b element-wise: `atan2(a, b)`.\n * Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([1.0, 1.0, -1.0, .7]);\n * const b = tf.tensor1d([2.0, 13.0, 3.5, .21]);\n *\n * tf.atan2(a, b).print()\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n *\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atan2_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'atan2');\n  let $b = convertToTensor(b, 'b', 'atan2');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const d = add($a.square(), $b.square());\n      let res = dy.mul($b.div(d));\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      const d = add($a.square(), $b.square());\n      let res = neg(dy.mul($a.div(d)));\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($b.shape);\n    };\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atan2($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\nexport const add = op({add_});\nexport const addN = op({addN_});\nexport const addStrict = op({addStrict_});\nexport const atan2 = op({atan2_});\nexport const div = op({div_});\nexport const divNoNan = op({divNoNan_});\nexport const divStrict = op({divStrict_});\nexport const floorDiv = op({floorDiv_});\nexport const maximum = op({maximum_});\nexport const maximumStrict = op({maximumStrict_});\nexport const minimum = op({minimum_});\nexport const minimumStrict = op({minimumStrict_});\nexport const mod = op({mod_});\nexport const modStrict = op({modStrict_});\nexport const mul = op({mul_});\nexport const mulStrict = op({mulStrict_});\nexport const pow = op({pow_});\nexport const powStrict = op({powStrict_});\nexport const squaredDifference = op({squaredDifference_});\nexport const squaredDifferenceStrict = op({squaredDifferenceStrict_});\nexport const sub = op({sub_});\nexport const subStrict = op({subStrict_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assertShapesMatch} from '../util';\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Returns the truth value of (a != b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.notEqualStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([0, 2, 3]);\n *\n * a.notEqual(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction notEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'notEqual');\n  let $b = convertToTensor(b, 'b', 'notEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n  return ENGINE.runKernelFunc(backend => backend.notEqual($a, $b), {$a, $b}) as\n      T;\n}\n\n/**\n * Strict version of `tf.notEqual` that forces `a` and `b` to be of the same\n * shape.\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same shape and dtype as\n *     `a`.\n */\nfunction notEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'notEqualStrict');\n  const $b = convertToTensor(b, 'b', 'notEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in notEqualStrict: ');\n  return $a.notEqual($b);\n}\n\n/**\n * Returns the truth value of (a < b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.lessStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.less(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction less_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'less');\n  let $b = convertToTensor(b, 'b', 'less');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.less($a, $b), {a: $a, b: $b}, null /* grad */,\n             'Less') as T;\n}\n\n/**\n * Strict version of `tf.less` that forces `a` and `b` to be of the same\n * shape.\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same shape and dtype as\n *     `a`.\n */\nfunction lessStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'lessStrict');\n  const $b = convertToTensor(b, 'b', 'lessStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in lessStrict: ');\n  return $a.less($b);\n}\n\n/**\n * Returns the truth value of (a == b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.equalStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.equal(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction equal_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'equal');\n  let $b = convertToTensor(b, 'b', 'equal');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(backend => backend.equal($a, $b), {$a, $b}) as T;\n}\n\nfunction equalStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'equalStrict');\n  const $b = convertToTensor(b, 'b', 'equalStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in equalStrict: ');\n  return $a.equal($b);\n}\n\n/**\n * Returns the truth value of (a <= b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.lessEqualStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.lessEqual(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction lessEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'lessEqual');\n  let $b = convertToTensor(b, 'b', 'lessEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.lessEqual($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, null /* grad */, 'LessEqual') as T;\n}\n\nfunction lessEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'lessEqualStrict');\n  const $b = convertToTensor(b, 'b', 'lessEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in lessEqualStrict: ');\n  return $a.lessEqual($b);\n}\n\n/**\n * Returns the truth value of (a > b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.greaterStrict` which has the same signature as this\n * op and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.greater(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction greater_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'greater');\n  let $b = convertToTensor(b, 'b', 'greater');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.greater($a, $b), {a: $a, b: $b},\n             null /* grad */, 'Greater') as T;\n}\n\nfunction greaterStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'greaterStrict');\n  const $b = convertToTensor(b, 'b', 'greaterStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in greaterStrict: ');\n  return $a.greater($b);\n}\n\n/**\n * Returns the truth value of (a >= b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.greaterEqualStrict` which has the same signature as this\n * op and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.greaterEqual(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction greaterEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'greaterEqual');\n  let $b = convertToTensor(b, 'b', 'greaterEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    return {a: () => zerosLike($a), b: () => zerosLike($b)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.greaterEqual($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, grad, 'GreaterEqual') as T;\n}\n\nfunction greaterEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'greaterEqualStrict');\n  const $b = convertToTensor(b, 'b', 'greaterEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in greaterEqualStrict: ');\n  return $a.greaterEqual($b);\n}\n\nexport const equal = op({equal_});\nexport const equalStrict = op({equalStrict_});\nexport const greater = op({greater_});\nexport const greaterEqual = op({greaterEqual_});\nexport const greaterEqualStrict = op({greaterEqualStrict_});\nexport const greaterStrict = op({greaterStrict_});\nexport const less = op({less_});\nexport const lessEqual = op({lessEqual_});\nexport const lessEqualStrict = op({lessEqualStrict_});\nexport const lessStrict = op({lessStrict_});\nexport const notEqual = op({notEqual_});\nexport const notEqualStrict = op({notEqualStrict_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, isInt, parseAxisParam} from '../util';\nimport {expandDims} from './array_ops';\nimport {getUndoAxesPermutation} from './axis_util';\nimport {maximum} from './binary_ops';\nimport {greaterEqual} from './compare';\nimport {logicalAnd, where} from './logical_ops';\nimport {op} from './operation';\nimport {collectGatherOpShapeInfo} from './segment_util';\nimport {ones, scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes the sum along segments of a `tf.Tensor`.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const segmentIds = tf.tensor1d([1, 2, 0, 1], 'int32');\n * const numSegments = 3;\n *\n * x.unsortedSegmentSum(segmentIds, numSegments).print()\n * //or tf.unsortedSegmentSum(x, segmentIds, numSegments)\n * ```\n * @param x The `tf.Tensor` that will be summed along its segments.\n * @param segmentIds A `tf.Tensor1D` whose rank is equal to the rank of `x`'s\n * dimension along the `axis`.  Maps each element of `x` to a segment.\n * @param numSegments The number of distinct `segmentIds`.\n */\n/** @doc {heading: 'Operations', subheading: 'Segment'} */\nfunction unsortedSegmentSum_<T extends Tensor>(\n    x: T|TensorLike, segmentIds: Tensor1D|TensorLike, numSegments: number): T {\n  const $x = convertToTensor(x, 'x', 'unsortedSegmentSum');\n  const $segmentIds =\n      convertToTensor(segmentIds, 'segmentIds', 'unsortedSegmentSum', 'int32');\n  assert(isInt(numSegments), () => 'numSegments must be of dtype int');\n\n  const gradFunc = (dy: T, saved: Tensor[]) => {\n    const [$segmentIds] = saved;\n    const derX = () => {\n      return gatherDropNegatives(dy, $segmentIds as Tensor1D);\n    };\n    return {$x: derX};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.unsortedSegmentSum($x, $segmentIds, numSegments);\n    save([$segmentIds]);\n    return res;\n  }, {$x}, gradFunc) as T;\n}\n\n/**\n * Gather slices from tensor `x`'s axis `axis` according to `indices`.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const indices = tf.tensor1d([1, 3, 3], 'int32');\n *\n * x.gather(indices).print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const indices = tf.tensor1d([1, 1, 0], 'int32');\n *\n * x.gather(indices).print();\n * ```\n * @param x The input tensor whose slices to be gathered.\n * @param indices The indices of the values to extract.\n * @param axis The axis over which to select values. Defaults to 0.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction gather_<T extends Tensor>(\n    x: T|TensorLike, indices: Tensor|TensorLike, axis = 0): T {\n  const $x = convertToTensor(x, 'x', 'gather');\n  const $indices = convertToTensor(indices, 'indices', 'gather', 'int32');\n  axis = parseAxisParam(axis, $x.shape)[0];\n  const shapeInfo = collectGatherOpShapeInfo($x, $indices, axis);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$indices] = saved;\n    const derX = () => {\n      const paramsShape = $x.shape;\n      const indicesSize = $indices.size;\n\n      const outerShape = paramsShape.slice(0, axis);\n      const outerDims = outerShape.length;\n      const innerShape = paramsShape.slice(axis, paramsShape.length).slice(1);\n      const innerDims = innerShape.length;\n\n      const outerAxesIndices = arrayRange(0, outerDims);\n      const innerAxesIndices =\n          arrayRange(outerDims + 1, outerDims + 1 + innerDims);\n\n      const valuesShape = arrayConcat([outerShape, [indicesSize], innerShape]);\n\n      const values = dy.reshape(valuesShape);\n      const reshapedIndices = $indices.reshape([indicesSize]);\n\n      const transposeDims =\n          arrayConcat([[outerDims], outerAxesIndices, innerAxesIndices]);\n      const valuesTranspose = values.transpose(transposeDims);\n      let paramsGrad = unsortedSegmentSum(\n          valuesTranspose, reshapedIndices as Tensor1D, $x.shape[axis]);\n\n      const invertTransposeDims = getUndoAxesPermutation(transposeDims);\n      paramsGrad = paramsGrad.transpose(invertTransposeDims);\n\n      return paramsGrad as T;\n    };\n    return {x: derX, indices: () => $indices};\n  };\n  return (ENGINE.runKernelFunc(\n              (backend, save) => {\n                const res = backend.gather($x, $indices.flatten(), axis);\n                save([$indices]);\n                return res;\n              },\n              {x: $x, indices: $indices}, grad, 'Gather', {axis}))\n             .reshape(shapeInfo.outputShape) as T;\n}\n\nfunction arrayRange(start: number, stop: number): number[] {\n  const result = [];\n  for (let i = start; i < stop; ++i) {\n    result.push(i);\n  }\n  return result;\n}\n\nfunction arrayConcat(arrays: number[][]): number[] {\n  const result = [];\n  for (let i = 0; i < arrays.length; ++i) {\n    for (let j = 0; j < arrays[i].length; ++j) {\n      result.push(arrays[i][j]);\n    }\n  }\n  return result;\n}\n\nfunction gatherDropNegatives<T extends Tensor>(x: T, indices: Tensor1D) {\n  // Helper function for unsorted segment ops. Gathers params for\n  // positive segment ids and gathers 0 for inputs with negative segment id.\n  // Mirrors _GatherDropNegatives from tensorflow/python/ops/math_grad.py\n  const zeroClippedIndices = maximum(indices, zerosLike(indices));\n  const gathered = gather(x, zeroClippedIndices as Tensor1D);\n  let isPositive = greaterEqual(indices, scalar(0, 'int32'));\n  const numIters = gathered.rank - isPositive.rank;\n  for (let i = 0; i < numIters; ++i) {\n    isPositive = expandDims(isPositive, i + 1);\n  }\n  isPositive = logicalAnd(isPositive, ones(gathered.shape, 'bool'));\n  const zeroSlice = zerosLike(gathered);\n  return where(isPositive, gathered, zeroSlice);\n}\n\nexport const gather = op({gather_});\nexport const unsortedSegmentSum = op({unsortedSegmentSum_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {whereAsync} from './logical_ops';\nimport {gather} from './segment_ops';\n\n/**\n * Apply boolean mask to tensor.\n *\n * ```js\n * const tensor = tf.tensor2d([1, 2, 3, 4, 5, 6], [3, 2]);\n * const mask = tf.tensor1d([1, 0, 1], 'bool');\n * const result = await tf.booleanMaskAsync(tensor, mask);\n * result.print();\n * ```\n *\n * @param tensor N-D tensor.\n * @param mask K-D boolean tensor, K <= N and K must be known statically.\n * @param axis A 0-D int Tensor representing the axis in tensor to mask from.\n *     By default, axis is 0 which will mask from the first dimension.\n *     Otherwise K + axis <= N.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nasync function booleanMaskAsync_(\n    tensor: Tensor|TensorLike, mask: Tensor|TensorLike,\n    axis?: number): Promise<Tensor> {\n  const $tensor = convertToTensor(tensor, 'tensor', 'boolMask');\n  const $mask = convertToTensor(mask, 'mask', 'boolMask', 'bool');\n\n  const axisFrom = axis == null ? 0 : axis;\n  const maskDim = $mask.rank;\n  const tensorShape = $tensor.shape;\n\n  util.assert(maskDim > 0, () => 'mask cannot be scalar');\n  util.assertShapesMatch(\n      tensorShape.slice(axisFrom, axisFrom + maskDim), $mask.shape,\n      `mask's shape must match the first K dimensions of tensor's shape,`);\n\n  let leadingSize = 1;\n  for (let i = axisFrom; i < axisFrom + maskDim; i++) {\n    leadingSize *= tensorShape[i];\n  }\n  const targetTensorShape =\n      tensorShape.slice(0, axisFrom)\n          .concat([leadingSize], tensorShape.slice(axisFrom + maskDim));\n  const reshapedTensor = $tensor.reshape(targetTensorShape);\n  const reshapedMask = $mask.reshape([-1]);\n  const positivePositions = await whereAsync(reshapedMask);\n  const indices = positivePositions.squeeze([1]);\n\n  const res = gather(reshapedTensor, indices, axisFrom);\n\n  // Ensure no memory leak.\n  if (tensor !== $tensor) {\n    $tensor.dispose();\n  }\n  if (mask !== $mask) {\n    $mask.dispose();\n  }\n  indices.dispose();\n  reshapedTensor.dispose();\n  reshapedMask.dispose();\n  positivePositions.dispose();\n\n  return res;\n}\n\nexport const booleanMaskAsync = booleanMaskAsync_;\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as conv_util from './conv_util';\nimport {op} from './operation';\n\n/**\n * Computes a 1D convolution over the input x.\n *\n * @param x The input tensor, of rank 3 or rank 2, of shape\n *     `[batch, width, inChannels]`. If rank 2, batch of 1 is assumed.\n * @param filter The filter, rank 3, of shape\n *     `[filterWidth, inDepth, outDepth]`.\n * @param stride The number of entries by which the filter is moved right at\n *     each step.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat An optional string from \"NWC\", \"NCW\". Defaults to \"NWC\",\n *     the data is stored in the order of [batch, in_width, in_channels]. Only\n *     \"NWC\" is currently supported.\n * @param dilation The dilation rate in which we sample input values in\n *     atrous convolution. Defaults to `1`. If it is greater than 1, then\n *     stride must be `1`.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv1d_<T extends Tensor2D|Tensor3D>(\n    x: T|TensorLike, filter: Tensor3D|TensorLike, stride: number,\n    pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW' = 'NWC', dilation = 1,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv1d');\n  const $filter = convertToTensor(filter, 'filter', 'conv1d');\n\n  let x3D = $x as Tensor3D;\n  let reshapedTo3D = false;\n  if ($x.rank === 2) {\n    reshapedTo3D = true;\n    x3D = $x.as3D(1, $x.shape[0], $x.shape[1]);\n  }\n\n  util.assert(\n      x3D.rank === 3,\n      () => `Error in conv1d: input must be rank 3, but got rank ${x3D.rank}.`);\n  util.assert(\n      $filter.rank === 3,\n      () => `Error in conv1d: filter must be rank 3, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv1d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  util.assert(\n      x3D.shape[2] === $filter.shape[1],\n      () => `Error in conv1d: depth of input (${x3D.shape[2]}) must match ` +\n          `input depth for filter ${$filter.shape[1]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(stride, dilation),\n      () => 'Error in conv1D: Either stride or dilation must be 1. ' +\n          `Got stride ${stride} and dilation '${dilation}'`);\n  util.assert(\n      dataFormat === 'NWC',\n      () => `Error in conv1d: got dataFormat of ${\n          dataFormat} but only NWC is currently supported.`);\n\n  const filter4D =\n      $filter.as4D(1, $filter.shape[0], $filter.shape[1], $filter.shape[2]);\n  const input4D = x3D.as4D(x3D.shape[0], 1, x3D.shape[1], x3D.shape[2]);\n  const strides: [number, number] = [1, stride];\n  const dilations: [number, number] = [1, dilation];\n\n  const conv2dDataFormat = 'NHWC';\n\n  const res = conv2d(\n      input4D, filter4D, strides, pad, conv2dDataFormat, dilations,\n      dimRoundingMode);\n\n  if (reshapedTo3D) {\n    return res.as2D(res.shape[2], res.shape[3]) as T;\n  }\n  return res.as3D(res.shape[0], res.shape[2], res.shape[3]) as T;\n}\n\n/**\n * Computes a 2D convolution over the input x.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dilations: [number, number]|number = [1, 1],\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv2d');\n  const $filter = convertToTensor(filter, 'filter', 'conv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in conv2d: input must be rank 4, but got rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in conv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n  const inDepth = dataFormat === 'NHWC' ? x4D.shape[3] : x4D.shape[1];\n  util.assert(\n      inDepth === $filter.shape[2],\n      () => `Error in conv2d: depth of input (${inDepth}) must match ` +\n          `input depth for filter ${$filter.shape[2]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv2D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [$filter, x4D] = saved as [Tensor4D, Tensor4D];\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of conv2D: dilation rates greater than 1 ' +\n            `are not yet supported in gradients. Got dilations '${dilations}'`);\n\n    return {\n      x: () => conv2dDerInput(x4D.shape, dy, $filter, strides, pad, dataFormat),\n      filter: () =>\n          conv2dDerFilter(x4D, dy, $filter.shape, strides, pad, dataFormat)\n    };\n  };\n\n  const inputsToSave = [$filter, x4D];\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv2d(x4D, $filter, convInfo);\n    save([$filter, x4D]);\n\n    return res;\n  }, {x: x4D, filter: $filter}, grad, 'Conv2D', convInfo, inputsToSave);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the input of a 2D convolution.\n *\n * @param xShape The shape of the input: [batch, height, width, inDepth].\n * If length of 3, batch of 1 is assumed.\n * @param dy The derivative of the output, of rank 4 or rank 3 of shape\n *   `[batch, outHeight, outWidth, outDepth]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm used:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction conv2dDerInput_<T extends Tensor3D|Tensor4D>(\n    xShape: [number, number, number, number]|[number, number, number], dy: T,\n    filter: Tensor4D, strides: [number, number]|number,\n    pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  util.assert(\n      xShape.length === dy.rank,\n      () => `Length of inShape ` +\n          `(${xShape.length}) and rank of dy (${dy.rank}) must match`);\n\n  let xShape4D = xShape as [number, number, number, number];\n  let dy4D = dy as Tensor4D;\n  let reshapedTo4D = false;\n  if (dy.rank === 3) {\n    reshapedTo4D = true;\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n    xShape4D = [1, xShape[0], xShape[1], xShape[2]];\n  }\n\n  util.assert(\n      xShape4D.length === 4,\n      () =>\n          `Error in conv2dDerInput: inShape must be length 4, but got length ` +\n          `${xShape4D.length}.`);\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in conv2dDerInput: dy must be rank 4, but got ` +\n          `rank ${dy4D.rank}`);\n  util.assert(\n      filter.rank === 4,\n      () => `Error in conv2dDerInput: filter must be rank 4, but got ` +\n          `rank ${filter.rank}`);\n  const inDepth = dataFormat === 'NHWC' ? xShape4D[3] : xShape4D[1];\n  const outDepth = dataFormat === 'NHWC' ? dy4D.shape[3] : dy4D.shape[1];\n  util.assert(\n      inDepth === filter.shape[2],\n      () => `Error in conv2dDerInput: depth of input (${inDepth}) must ` +\n          `match input depth for filter ${filter.shape[2]}.`);\n  util.assert(\n      outDepth === filter.shape[3],\n      () => `Error in conv2dDerInput: depth of output (${outDepth}) must ` +\n          `match output depth for filter ${filter.shape[3]}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2dDerInput: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const dilations = 1;\n\n  const grad = (ddx: Tensor4D, saved: Tensor[]) => {\n    const [filter, dy4D] = saved;\n    return {\n      dy4D: () => conv2d(\n          ddx, filter as Tensor4D, strides, pad, dataFormat, dilations,\n          dimRoundingMode),\n      filter: () => conv2dDerFilter(\n          ddx, dy4D as Tensor4D, (filter as Tensor4D).shape, strides, pad,\n          dataFormat, dimRoundingMode)\n    };\n  };\n\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      xShape4D, filter.shape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv2dDerInput(dy4D, filter, convInfo);\n    save([filter, dy4D]);\n    return res;\n  }, {dy4D, filter}, grad);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the filter of a 2D convolution.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     [batch, height, width, inChannels]. If rank 3, batch of 1 is assumed.\n * @param dy The dy image, of rank 4 or rank 3, of shape\n *     [batch, height, width, outDepth]. If rank 3, batch of 1 is assumed.\n * @param filterShape The shape of the filter, length 4,\n *     [filterHeight, filterWidth, inDepth, outDepth].\n * @param strides The strides of the convolution: [strideHeight,\n * strideWidth].\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction conv2dDerFilter_<T extends Tensor3D|Tensor4D>(\n    x: T, dy: T, filterShape: [number, number, number, number],\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dimRoundingMode?: 'floor'|'round'|'ceil'): Tensor4D {\n  let x4D = x as Tensor4D;\n  if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  let dy4D = dy as Tensor4D;\n  if (dy4D.rank === 3) {\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in conv2dDerFilter: input must be rank 4, but got shape ` +\n          `${x4D.shape}.`);\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in conv2dDerFilter: dy must be rank 4, but got shape ` +\n          `${dy4D.shape}.`);\n  util.assert(\n      filterShape.length === 4,\n      () => `Error in conv2dDerFilter: filterShape must be length 4, but got ` +\n          `${filterShape}.`);\n  const inDepth = dataFormat === 'NHWC' ? x4D.shape[3] : x4D.shape[1];\n  const outDepth = dataFormat === 'NHWC' ? dy4D.shape[3] : dy4D.shape[1];\n  util.assert(\n      inDepth === filterShape[2],\n      () => `Error in conv2dDerFilter: depth of input ${inDepth}) must ` +\n          `match input depth in filter (${filterShape[2]}.`);\n  util.assert(\n      outDepth === filterShape[3],\n      () => `Error in conv2dDerFilter: depth of dy (${outDepth}) must ` +\n          `match output depth for filter (${filterShape[3]}).`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2dDerFilter: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const dilations = 1;\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, filterShape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n  return ENGINE.runKernelFunc(\n      backend => backend.conv2dDerFilter(x4D, dy4D, convInfo), {x4D, dy4D});\n}\n\n/**\n * Computes the transposed 2D convolution of an image, also known as a\n * deconvolution.\n *\n * @param x The input image, of rank 4 or rank 3, of shape\n *   `[batch, height, width, inDepth]`. If rank 3, batch of 1 is assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, outDepth, inDepth]`.\n *     `inDepth` must match `inDepth` in `x`.\n * @param outputShape Output shape, of rank 4 or rank 3:\n *     `[batch, height, width, outDepth]`. If rank 3, batch of 1 is assumed.\n * @param strides The strides of the original convolution:\n *     `[strideHeight, strideWidth]`.\n * @param pad  The type of padding algorithm used in the non-transpose version\n *    of the op.\n * @param dimRoundingMode The rounding mode used when computing output\n *    dimensions if pad is a number. If none is provided, it will not round\n *    and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv2dTranspose_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    outputShape: [number, number, number, number]|[number, number, number],\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv2dTranspose');\n  const $filter = convertToTensor(filter, 'filter', 'conv2dTranspose');\n\n  return conv2dDerInput_(\n      outputShape, $x, $filter, strides, pad, 'NHWC', dimRoundingMode);\n}\n\n/**\n * Depthwise 2D convolution.\n *\n * Given a 4D `input` array and a `filter` array of shape\n * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing\n * `inChannels` convolutional filters of depth 1, this op applies a\n * different filter to each input channel (expanding from 1 channel to\n * `channelMultiplier` channels for each), then concatenates the results\n * together. The output has `inChannels * channelMultiplier` channels.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)\n * for more details.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction depthwiseConv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dilations: [number, number]|number = [1, 1],\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'depthwiseConv2d');\n  const $filter = convertToTensor(filter, 'filter', 'depthwiseConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in depthwiseConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in depthwiseConv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in depthwiseConv2d: number of input channels ` +\n          `(${x4D.shape[3]}) must match the inChannels dimension in ` +\n          `filter ${$filter.shape[2]}.`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in depthwiseConv2d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in depthwiseConv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode,\n      true /* depthwise */);\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of depthwiseConv2d: dilation rates ' +\n            `greater than 1 are not yet supported. Got dilations ` +\n            `'${dilations}'`);\n    const [x4D, $filter] = saved;\n    return {\n      x: () => depthwiseConv2dDerInput(\n          (x4D as Tensor4D).shape, dy, $filter as Tensor4D, convInfo),\n      filter: () => depthwiseConv2dDerFilter(\n          x4D as Tensor4D, dy, ($filter as Tensor4D).shape, convInfo),\n    };\n  };\n\n  const inputsToSave = [x4D, $filter];\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.depthwiseConv2D(x4D, $filter, convInfo);\n        save([x4D, $filter]);\n        return res;\n      },\n      {x: x4D, filter: $filter}, grad, 'DepthwiseConv2dNative', convInfo,\n      inputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * 2-D convolution with separable filters.\n *\n * Performs a depthwise convolution that acts separately on channels followed\n * by a pointwise convolution that mixes channels. Note that this is\n * separability between dimensions [1, 2] and 3, not spatial separability\n * between dimensions 1 and 2.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/separable_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/separable_conv2d)\n * for more details.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param depthwiseFilter The depthwise filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`. This is\n *     the filter used in the first step.\n * @param pointwiseFilter The pointwise filter tensor, rank 4, of shape\n *     `[1, 1, inChannels * channelMultiplier, outChannels]`. This is\n *     the filter used in the second step.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction separableConv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike,\n    pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n    pad: 'valid'|'same', dilation: [number, number]|number = [1, 1],\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC'): T {\n  const $x = convertToTensor(x, 'x', 'separableConv2d');\n  const $depthwiseFilter =\n      convertToTensor(depthwiseFilter, 'depthwiseFilter', 'separableConv2d');\n  const $pointwiseFilter =\n      convertToTensor(pointwiseFilter, 'pointwiseFilter', 'separableConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n\n  if (dataFormat === 'NCHW') {\n    throw new Error(\n        'separableConv2d currently does not support dataFormat NCHW; only ' +\n        'NHWC is supported');\n  }\n\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in separableConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $depthwiseFilter.rank === 4,\n      () => `Error in separableConv2d: depthwise filter must be rank 4, but ` +\n          `got rank ${$depthwiseFilter.rank}.`);\n  util.assert(\n      $pointwiseFilter.rank === 4,\n      () => `Error in separableConv2d: pointwise filter must be rank 4, but ` +\n          `got rank ${$depthwiseFilter.rank}.`);\n  util.assert(\n      $pointwiseFilter.shape[0] === 1,\n      () =>\n          `Error in separableConv2d: the first dimension of pointwise filter ` +\n          ` must be 1, but got ${$pointwiseFilter.shape[0]}.`);\n  util.assert(\n      $pointwiseFilter.shape[1] === 1,\n      () => `Error in separableConv2d: the second dimension of pointwise ` +\n          `filter must be 1, but got ${$pointwiseFilter.shape[1]}.`);\n\n  const inChannels = $depthwiseFilter.shape[2];\n  const channelMultiplier = $depthwiseFilter.shape[3];\n  util.assert(\n      $pointwiseFilter.shape[2] === inChannels * channelMultiplier,\n      () =>\n          `Error in separableConv2d: the third dimension of pointwise filter ` +\n          `must be ${inChannels * channelMultiplier}, ` +\n          `but got ${$pointwiseFilter.shape[2]}.`);\n\n  const depthwise = depthwiseConv2d(\n      x4D, $depthwiseFilter, strides, pad, dataFormat, dilation);\n  const pointwiseStride = 1;\n  const res =\n      conv2d(depthwise, $pointwiseFilter, pointwiseStride, 'valid', dataFormat);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nfunction parseTupleParam(\n    param: number|[number, number]|[number, number, number]):\n    [number, number, number] {\n  if (typeof param === 'number') {\n    return [param, param, param];\n  }\n  if (param.length === 2) {\n    return [param[0], param[1], 1];\n  }\n  return param;\n}\n\nfunction tupleValuesAreOne(\n    param: number|[number, number]|[number, number, number]): boolean {\n  const [dimA, dimB, dimC] = parseTupleParam(param);\n  return dimA === 1 && dimB === 1 && dimC === 1;\n}\n\nfunction eitherStridesOrDilationsAreOne(\n    strides: number|[number, number]|[number, number, number],\n    dilations: number|[number, number]|[number, number, number]): boolean {\n  return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);\n}\n\nfunction depthwiseConv2dDerInput_<T extends Tensor3D|Tensor4D>(\n    xShape: [number, number, number, number]|[number, number, number], dy: T,\n    filter: Tensor4D, convInfo: conv_util.Conv2DInfo): T {\n  let dy4D = dy as Tensor4D;\n  let reshapedTo4D = false;\n  if (dy.rank === 3) {\n    reshapedTo4D = true;\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  const res = ENGINE.runKernelFunc(\n      backend => backend.depthwiseConv2DDerInput(dy4D, filter, convInfo),\n      {dy4D});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nfunction depthwiseConv2dDerFilter_<T extends Tensor3D|Tensor4D>(\n    x: T, dy: T, filterShape: [number, number, number, number],\n    convInfo: conv_util.Conv2DInfo): Tensor4D {\n  let x4D = x as Tensor4D;\n  if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  let dy4D = dy as Tensor4D;\n  if (dy4D.rank === 3) {\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  return ENGINE.runKernelFunc(\n      backend => backend.depthwiseConv2DDerFilter(x4D, dy4D, convInfo),\n      {x4D, dy4D});\n}\n\n/**\n * Computes a 3D convolution over the input x.\n *\n * @param x The input tensor, of rank 5 or rank 4, of shape\n *     `[batch, depth, height, width, channels]`. If rank 4,\n * batch of 1 is assumed.\n * @param filter The filter, rank 5, of shape\n *     `[filterDepth, filterHeight, filterWidth, inChannels, outChannels]`.\n *      inChannels must match between input and filter.\n * @param strides The strides of the convolution: `[strideDepth, strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat: An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates: `[dilationDepth, dilationHeight,\n *     dilationWidth]` in which we sample input values across the height\n *     and width dimensions in atrous convolution. Defaults to `[1, 1, 1]`.\n *     If `dilations` is a single number, then\n *     `dilationDepth == dilationHeight == dilationWidth`. If it is greater\n *     than 1, then all values of `strides` must be 1.\n */\n\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filter: Tensor5D|TensorLike,\n    strides: [number, number, number]|number, pad: 'valid'|'same',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations: [number, number, number]|number = [1, 1, 1]): T {\n  const $x = convertToTensor(x, 'x', 'conv3d');\n  const $filter = convertToTensor(filter, 'filter', 'conv3d');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in conv3d: input must be rank 5, but got rank ${x5D.rank}.`);\n  util.assert(\n      $filter.rank === 5,\n      () => `Error in conv3d: filter must be rank 5, but got rank ` +\n          `${$filter.rank}.`);\n  util.assert(\n      x5D.shape[4] === $filter.shape[3],\n      () => `Error in conv3d: depth of input (${x5D.shape[4]}) must match ` +\n          `input depth for filter ${$filter.shape[3]}.`);\n  util.assert(\n      eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv3D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in conv3d: got dataFormat of ${\n          dataFormat} but only NDHWC is currently supported.`);\n\n  const convInfo = conv_util.computeConv3DInfo(\n      x5D.shape, $filter.shape, strides, dilations, pad);\n\n  const grad = (dy: Tensor5D, saved: Tensor[]) => {\n    util.assert(\n        tupleValuesAreOne(dilations),\n        () =>\n            'Error in gradient of conv3D: dilation rates greater than 1 are ' +\n            `not yet supported in gradients. Got dilations '${dilations}'`);\n    const [x5D, $filter] = saved;\n    return {\n      x: () => conv3dDerInput_(\n          (x5D as Tensor5D).shape, dy, $filter as Tensor5D, strides, pad),\n      $filter: () => conv3dDerFilter_(\n          x5D as Tensor5D, dy, ($filter as Tensor5D).shape, strides, pad)\n    };\n  };\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv3d(x5D, $filter, convInfo);\n    save([x5D, $filter]);\n    return res;\n  }, {x: x5D, $filter}, grad);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the input of a 3D convolution.\n *\n * @param xShape The shape of the input: [batch, depth, height, width,\n * in_channels]. If length of 4, batch of 1 is assumed.\n * @param dy The derivative of the output, of rank 5 or rank 4 of shape\n *   `[batch, outDepth, outHeight, outWidth, in_channels]`.\n * If rank 4, batch of 1 is assumed.\n * @param filter The filter, rank 5, of shape\n *     `[filterDepth, filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideDepth, strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm used:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n */\nfunction conv3dDerInput_<T extends Tensor4D|Tensor5D>(\n    xShape:\n        [number, number, number, number,\n         number]|[number, number, number, number],\n    dy: T, filter: Tensor5D, strides: [number, number, number]|number,\n    pad: 'valid'|'same'): T {\n  util.assert(\n      xShape.length === dy.rank,\n      () => `Length of inShape ` +\n          `(${xShape.length}) and rank of dy (${dy.rank}) must match`);\n\n  let xShape5D = xShape as [number, number, number, number, number];\n  let dy5D = dy as Tensor5D;\n  let reshapedTo5D = false;\n  if (dy.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = dy.as5D(1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]);\n    xShape5D = [1, xShape[0], xShape[1], xShape[2], xShape[3]];\n  }\n\n  const inDepth = xShape5D[4];\n  const outDepth = dy5D.shape[4];\n  util.assert(\n      xShape5D.length === 5,\n      () =>\n          `Error in conv3dDerInput: inShape must be length 5, but got length ` +\n          `${xShape5D.length}.`);\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in conv3dDerInput: dy must be rank 5, but got ` +\n          `rank ${dy5D.rank}`);\n  util.assert(\n      filter.rank === 5,\n      () => `Error in conv3dDerInput: filter must be rank 5, but got ` +\n          `rank ${filter.rank}`);\n  util.assert(\n      inDepth === filter.shape[3],\n      () => `Error in conv3dDerInput: depth of input (${inDepth}) must ` +\n          `match input depth for filter ${filter.shape[3]}.`);\n  util.assert(\n      outDepth === filter.shape[4],\n      () => `Error in conv3dDerInput: depth of output (${outDepth}) must ` +\n          `match output depth for filter ${filter.shape[4]}.`);\n\n  const dilations = 1;\n\n  const convInfo = conv_util.computeConv3DInfo(\n      xShape5D, filter.shape, strides, dilations, pad);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.conv3dDerInput(dy5D, filter, convInfo), {dy5D});\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the filter of a 3D convolution.\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     [batch, depth, height, width, inChannels]. If rank 4, batch of 1 is\n *     assumed.\n * @param dy The dy image, of rank 5 or rank 4, of shape\n *     [batch, depth, height, width, outDepth]. If rank 4, batch of 1 is\n *     assumed.\n * @param filterShape The shape of the filter, length 5,\n *     [filterDepth, filterHeight, filterWidth, inDepth, outDepth].\n * @param strides The strides of the convolution: [strideDepth, strideHeight,\n * strideWidth].\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n */\nfunction conv3dDerFilter_<T extends Tensor4D|Tensor5D>(\n    x: T, dy: T, filterShape: [number, number, number, number, number],\n    strides: [number, number, number]|number, pad: 'valid'|'same'): Tensor5D {\n  let x5D = x as Tensor5D;\n  if (x.rank === 4) {\n    x5D = x.as5D(1, x.shape[0], x.shape[1], x.shape[2], x.shape[3]);\n  }\n  let dy5D = dy as Tensor5D;\n  if (dy5D.rank === 4) {\n    dy5D = dy.as5D(1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]);\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in conv3dDerFilter: input must be rank 5, but got shape ` +\n          `${x5D.shape}.`);\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in conv3dDerFilter: dy must be rank 5, but got shape ` +\n          `${dy5D.shape}.`);\n  util.assert(\n      filterShape.length === 5,\n      () => `Error in conv3dDerFilter: filterShape must be length 5, but got ` +\n          `${filterShape}.`);\n  util.assert(\n      x5D.shape[4] === filterShape[3],\n      () => `Error in conv3dDerFilter: depth of input ${x5D.shape[4]}) must ` +\n          `match input depth in filter (${filterShape[3]}.`);\n  util.assert(\n      dy5D.shape[4] === filterShape[4],\n      () => `Error in conv3dDerFilter: depth of dy (${dy5D.shape[4]}) must ` +\n          `match output depth for filter (${filterShape[4]}).`);\n\n  const dilations = 1;\n\n  const convInfo = conv_util.computeConv3DInfo(\n      x5D.shape, filterShape, strides, dilations, pad);\n  return ENGINE.runKernelFunc(\n      backend => backend.conv3dDerFilter(x5D, dy5D, convInfo), {x5D, dy5D});\n}\n\n/**\n * Computes the transposed 3D convolution of a volume, also known as a\n * deconvolution.\n *\n * @param x The input image, of rank 5 or rank 4, of shape\n *   `[batch, depth, height, width, inDepth]`. If rank 4, batch of 1 is assumed.\n * @param filter The filter, rank 4, of shape\n *     `[depth, filterHeight, filterWidth, outDepth, inDepth]`.\n *     `inDepth` must match `inDepth` in `x`.\n * @param outputShape Output shape, of rank 5 or rank 4:\n *     `[batch, depth, height, width, outDepth]`. If rank 3, batch of 1 is\n *    assumed.\n * @param strides The strides of the original convolution:\n *     `[strideDepth, strideHeight, strideWidth]`.\n * @param pad  The type of padding algorithm used in the non-transpose version\n *    of the op.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv3dTranspose_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filter: Tensor5D|TensorLike,\n    outputShape:\n        [number, number, number, number,\n         number]|[number, number, number, number],\n    strides: [number, number, number]|number, pad: 'valid'|'same'): T {\n  const $x = convertToTensor(x, 'x', 'conv3dTranspose');\n  const $filter = convertToTensor(filter, 'filter', 'conv3dTranspose');\n\n  return conv3dDerInput_(outputShape, $x, $filter, strides, pad);\n}\n\nexport const conv1d = op({conv1d_});\nexport const conv2d = op({conv2d_});\nexport const conv3d = op({conv3d_});\nexport const conv2dDerFilter = op({conv2dDerFilter_});\nexport const conv2dDerInput = op({conv2dDerInput_});\nexport const depthwiseConv2d = op({depthwiseConv2d_});\nexport const depthwiseConv2dDerInput = op({depthwiseConv2dDerInput_});\nexport const depthwiseConv2dDerFilter = op({depthwiseConv2dDerFilter_});\nexport const separableConv2d = op({separableConv2d_});\nexport const conv2dTranspose = op({conv2dTranspose_});\nexport const conv3dTranspose = op({conv3dTranspose_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Computes the dot product of two matrices, A * B. These must be matrices.\n *\n * ```js\n * const a = tf.tensor2d([1, 2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.matMul(b).print();  // or tf.matMul(a, b)\n * ```\n * @param a First matrix in dot product operation.\n * @param b Second matrix in dot product operation.\n * @param transposeA If true, `a` is transposed before multiplication.\n * @param transposeB If true, `b` is transposed before multiplication.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction matMul_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike, transposeA = false,\n    transposeB = false): T {\n  let $a = convertToTensor(a, 'a', 'matMul');\n  let $b = convertToTensor(b, 'b', 'matMul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const innerShapeA =\n      transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];\n  const innerShapeB =\n      transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];\n\n  const outerShapeA =\n      transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];\n  const outerShapeB =\n      transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];\n\n  const outerDimsA = $a.shape.slice(0, -2);\n  const outerDimsB = $b.shape.slice(0, -2);\n  const batchDimA = util.sizeFromShape(outerDimsA);\n  const batchDimB = util.sizeFromShape(outerDimsB);\n\n  util.assert(\n      $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,\n      () => `Error in matMul: inputs must have the same rank of at least 2, ` +\n          `got ranks ${$a.rank} and ${$b.rank}.`);\n\n  util.assert(\n      util.arraysEqual(outerDimsA, outerDimsB),\n      () => `Error in matMul: outer dimensions (${outerDimsA}) and (` +\n          `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} must match.`);\n\n  util.assert(\n      innerShapeA === innerShapeB,\n      () => `Error in matMul: inner shapes (${innerShapeA}) and (` +\n          `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} and transposeA=${transposeA}` +\n          ` and transposeB=${transposeB} must match.`);\n\n  const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);\n\n  const a3D = transposeA ? $a.as3D(batchDimA, innerShapeA, outerShapeA) :\n                           $a.as3D(batchDimA, outerShapeA, innerShapeA);\n  const b3D = transposeB ? $b.as3D(batchDimB, outerShapeB, innerShapeB) :\n                           $b.as3D(batchDimB, innerShapeB, outerShapeB);\n\n  const grad = (dy: Tensor3D, saved: Tensor[]) => {\n    const [a3D, b3D] = saved as Tensor3D[];\n    if (!transposeA && !transposeB) {\n      return {\n        a: () => dy.matMul(b3D, false, true),\n        b: () => a3D.matMul(dy, true, false)\n      };\n    } else if (!transposeA && transposeB) {\n      return {\n        a: () => dy.matMul(b3D, false, false),\n        b: () => dy.matMul(a3D, true, false)\n      };\n    } else if (transposeA && !transposeB) {\n      return {\n        a: () => b3D.matMul(dy, false, true),\n        b: () => a3D.matMul(dy, false, false)\n      };\n    } else {\n      return {\n        a: () => b3D.matMul(dy, true, true),\n        b: () => dy.matMul(a3D, true, true)\n      };\n    }\n  };\n\n  const attrs = {transposeA, transposeB};\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.batchMatMul(a3D, b3D, transposeA, transposeB);\n    save([a3D, b3D]);\n    return res;\n  }, {a: a3D, b: b3D}, grad, 'BatchMatMul', attrs);\n  return res.reshape(outShape) as T;\n}\n\n/**\n * Computes the outer product of two vectors, `v1` and `v2`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([3, 4, 5]);\n *\n * tf.outerProduct(a, b).print();\n * ```\n * @param v1 The first vector in the outer product operation.\n * @param v2 The second vector in the outer product operation.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction outerProduct_(\n    v1: Tensor1D|TensorLike, v2: Tensor1D|TensorLike): Tensor2D {\n  const $v1 = convertToTensor(v1, 'v1', 'outerProduct');\n  const $v2 = convertToTensor(v2, 'v2', 'outerProduct');\n\n  util.assert(\n      $v1.rank === 1 && $v2.rank === 1,\n      () => `Error in outerProduct: inputs must be rank 1, but got ranks ` +\n          `${$v1.rank} and ${$v2.rank}.`);\n\n  return $v1.as2D(-1, 1).matMul($v2.as2D(1, -1));\n}\n\n/**\n * Computes the dot product of two matrices and/or vectors, `t1` and `t2`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor2d([[1, 2], [3, 4]]);\n * const c = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);\n *\n * a.dot(b).print();  // or tf.dot(a, b)\n * b.dot(a).print();\n * b.dot(c).print();\n * ```\n * @param t1 The first tensor in the dot operation.\n * @param t2 The second tensor in the dot operation.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction dot_(t1: Tensor|TensorLike, t2: Tensor|TensorLike): Tensor {\n  const $t1 = convertToTensor(t1, 't1', 'dot');\n  const $t2 = convertToTensor(t2, 't2', 'dot');\n  util.assert(\n      ($t1.rank === 1 || $t1.rank === 2) && ($t2.rank === 1 || $t2.rank === 2),\n      () => `Error in dot: inputs must all be rank 1 or 2, but got ranks ` +\n          `${$t1.rank} and ${$t2.rank}.`);\n\n  const t1Inner = ($t1.rank === 1 ? $t1.size : $t1.shape[1]);\n  const t2Inner = ($t2.rank === 1 ? $t2.size : $t2.shape[0]);\n\n  util.assert(\n      t1Inner === t2Inner,\n      () => `Error in dot: inner dimensions of inputs must match, but got ` +\n          `${t1Inner} and ${t2Inner}.`);\n\n  if ($t1.rank === 1 && $t2.rank === 1) {\n    return $t1.as2D(1, -1).matMul($t2.as2D(-1, 1)).asScalar();\n  } else if ($t1.rank === 1 && $t2.rank === 2) {\n    return $t1.as2D(1, -1).matMul($t2.as2D($t2.shape[0], $t2.shape[1])).as1D();\n  } else if ($t1.rank === 2 && $t2.rank === 1) {\n    return $t1.matMul($t2.as2D(-1, 1)).as1D();\n  } else {\n    return $t1.matMul($t2.as2D($t2.shape[0], $t2.shape[1]));\n  }\n}\n\nexport const matMul = op({matMul_});\nexport const dot = op({dot_});\nexport const outerProduct = op({outerProduct_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Reverses a `tf.Tensor1D`.\n *\n * @param x The input tensor.\n */\nfunction reverse1d_(x: Tensor1D|TensorLike): Tensor1D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 1,\n      () => `Error in reverse1D: x must be rank 1 but got rank ${$x.rank}.`);\n  return reverse($x, 0);\n}\n\n/**\n * Reverses a `tf.Tensor2D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse2d_(x: Tensor2D|TensorLike, axis?: number|number[]): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 2,\n      () => `Error in reverse2D: x must be rank 2 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor3D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse3d_(x: Tensor3D|TensorLike, axis?: number|number[]): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 3,\n      () => `Error in reverse3D: x must be rank 3 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor4D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse4d_(x: Tensor4D|TensorLike, axis?: number|number[]): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 4,\n      () => `Error in reverse4D: x must be rank 4 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor` along a specified axis.\n *\n * Also available are stricter rank-specific methods that assert that `x` is\n * of the given rank:\n *   - `tf.reverse1d`\n *   - `tf.reverse2d`\n *   - `tf.reverse3d`\n *   - `tf.reverse4d`\n *\n * Except `tf.reverse1d` (which does not have axis param), all methods have\n * same signature as this method.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.reverse().print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.reverse(axis).print();\n * ```\n * @param x The input tensor to be reversed.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction reverse_<T extends Tensor>(\n    x: T|TensorLike, axis?: number|number[]): T {\n  const $x = convertToTensor(x, 'x', 'reverse');\n\n  if ($x.rank === 0) {\n    return $x.clone();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const grad = (dy: T) => {\n    return {$x: () => dy.reverse(axes)};\n  };\n  const res =\n      ENGINE.runKernelFunc(backend => backend.reverse($x, axes), {$x}, grad);\n  return res.reshapeAs($x);\n}\n\nexport const reverse = op({reverse_});\nexport const reverse1d = op({reverse1d_});\nexport const reverse2d = op({reverse2d_});\nexport const reverse3d = op({reverse3d_});\nexport const reverse4d = op({reverse4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {batchToSpaceND, spaceToBatchND} from './array_ops';\nimport * as conv_util from './conv_util';\nimport {op} from './operation';\n\n/**\n * Computes the 2D max pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction maxPoolImpl_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number, dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'maxPool');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in maxPool: input must be rank 4 but got rank ${x4D.rank}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&\n      util.arraysEqual(convInfo.inShape, convInfo.outShape)) {\n    return $x.clone();\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [x4D, y] = saved;\n    return {\n      x: () => maxPoolBackprop(\n          dy, x4D as Tensor4D, y as Tensor4D, filterSize, strides, dilations,\n          pad)\n    };\n  };\n\n  const inputsToSave = [x4D];\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.maxPool(x4D, convInfo);\n    save([x4D, y]);\n    return y;\n  }, {x: x4D}, grad, 'MaxPool', convInfo, inputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the 2D max pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPool_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  return maxPoolImpl_(x, filterSize, strides, 1, pad, dimRoundingMode);\n}\n\n/**\n * Computes the 2D average pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction avgPoolImpl_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number, dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'avgPool', 'float32');\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in avgPool: x must be rank 4 but got rank ${x4D.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in avgPool: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&\n      util.arraysEqual(convInfo.inShape, convInfo.outShape)) {\n    return $x.clone();\n  }\n\n  const grad = (dy: Tensor4D) => {\n    return {\n      x: () => avgPoolBackprop(dy, x4D, filterSize, strides, dilations, pad)\n    };\n  };\n\n  let res = ENGINE.runKernelFunc(\n      backend => backend.avgPool(x4D, convInfo), {x: x4D}, grad, 'AvgPool',\n      convInfo);\n  res = res.cast($x.dtype);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the 2D average pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction avgPool_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  return avgPoolImpl_(x, filterSize, strides, 1, pad, dimRoundingMode);\n}\n\n/**\n * Performs an N-D pooling operation\n *\n * @param input The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param windowShape The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param poolingType The type of pooling, either 'max' or 'avg'.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilationRate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction pool_<T extends Tensor3D|Tensor4D>(\n    input: T|TensorLike, windowShape: [number, number]|number,\n    poolingType: 'avg'|'max', pad: 'valid'|'same'|number,\n    dilations?: [number, number]|number, strides?: [number, number]|number) {\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  if (strides == null) {\n    strides = 1;\n  }\n  if (pad === 0) {\n    pad = 'valid';\n  }\n  const $x = convertToTensor(input, 'x', 'maxPool');\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in pool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, windowShape, strides, dilations, pad);\n  const dilation: [number, number] =\n      [convInfo.dilationHeight, convInfo.dilationWidth];\n\n  // The following implementation does batchToSpace(pool(spaceToBatch(x)))\n  // whenever dilation > 1 since the TF kernels do not support dilation > 1.\n  // tslint:disable-next-line:max-line-length\n  // https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/nn_ops.py#L1037\n\n  let basePadding: number[][];\n  if (pad === 'same') {\n    basePadding = withSpaceToBatchBasePaddings(\n        [convInfo.filterHeight, convInfo.filterWidth], dilation);\n  } else {\n    basePadding = [[0, 0], [0, 0]];\n  }\n  const isDilationOne = dilation[0] === 1 && dilation[1] === 1;\n  const [adjustedPadding, adjustedCrops] = requiredSpaceToBatchPaddings(\n      [convInfo.inHeight, convInfo.inWidth], dilation, basePadding);\n  const convertedPad = isDilationOne ? pad : 'valid';\n  const convertedX =\n      isDilationOne ? x4D : spaceToBatchND(x4D, dilation, adjustedPadding);\n  const forwardOp = poolingType === 'avg' ?\n      () => avgPoolImpl_(\n          convertedX, windowShape, strides, 1 /* dilation */, convertedPad) :\n      () => maxPoolImpl_(\n          convertedX, windowShape, strides, 1 /* dilation */, convertedPad);\n  const y = forwardOp();\n  const res = isDilationOne ? y : batchToSpaceND(y, dilation, adjustedCrops);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 2D max pool.\n *\n * @param dy The dy error, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param input The original input image, of rank 4, of shape\n *     [batchSize, height, width, channels].\n * @param output The original output image, of rank 4, of shape\n *     [batchSize, outHeight, outWidth, channels].\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction maxPoolBackprop(\n    dy: Tensor4D|TensorLike, input: Tensor4D|TensorLike,\n    output: Tensor4D|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): Tensor4D {\n  const $dy = convertToTensor(dy, 'dy', 'maxPoolBackprop');\n  const $input = convertToTensor(input, 'input', 'maxPoolBackprop');\n  const $output = convertToTensor(output, 'output', 'maxPoolBackprop');\n  util.assert(\n      $input.rank === $dy.rank,\n      () => `Rank of input (${$input.rank}) does not match rank of dy ` +\n          `(${$dy.rank})`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in maxPoolBackProp: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  util.assert(\n      $dy.rank === 4,\n      () => `Error in maxPoolBackprop: dy must be rank 4 but got rank ` +\n          `${$dy.rank}.`);\n  util.assert(\n      $input.rank === 4,\n      () => `Error in maxPoolBackprop: input must be rank 4 but got rank ` +\n          `${$input.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPoolBackprop: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool2DInfo(\n      $input.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.maxPoolBackprop($dy, $input, $output, convInfo),\n      {$dy, $input});\n  return res;\n}\n\n/**\n * Computes the backprop of an 2D avg pool.\n *\n * @param dy The dy error, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param input The input image, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n */\nfunction avgPoolBackprop<T extends Tensor3D|Tensor4D>(\n    dy: T|TensorLike, input: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number): T {\n  const $dy = convertToTensor(dy, 'dy', 'avgPoolBackprop');\n  const $input = convertToTensor(input, 'input', 'avgPoolBackprop');\n  util.assert(\n      $input.rank === $dy.rank,\n      () => `Rank of input (${$input.rank}) does not match rank of dy (${\n          $dy.rank})`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in avgPoolBackprop: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  let input4D = $input as Tensor4D;\n  let dy4D = $dy as Tensor4D;\n  let reshapedTo4D = false;\n  if ($input.rank === 3) {\n    reshapedTo4D = true;\n    input4D = $input.as4D(1, $input.shape[0], $input.shape[1], $input.shape[2]);\n    dy4D = $dy.as4D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2]);\n  }\n\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in avgPoolBackprop: dy must be rank 4 but got rank ` +\n          `${dy4D.rank}.`);\n  util.assert(\n      input4D.rank === 4,\n      () => `Error in avgPoolBackprop: input must be rank 4 but got rank ` +\n          `${input4D.rank}.`);\n\n  const convInfo = conv_util.computePool2DInfo(\n      input4D.shape, filterSize, strides, dilations, pad);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.avgPoolBackprop(dy4D, input4D, convInfo),\n      {dy4D, input4D});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n// Helper function to compute crops and paddings for pool with dilation > 1.\n// tslint:disable-next-line:max-line-length\n// https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/array_ops.py#L2184\nfunction requiredSpaceToBatchPaddings(\n    inputShape: [number, number], blockShape: [number, number],\n    basePadding: number[][]) {\n  const padStart = basePadding.map(b => b[0]);\n  const origPadEnd = basePadding.map(b => b[1]);\n  const fullInputShape = inputShape.concat(padStart, origPadEnd);\n  const padEndExtra = blockShape.map((b, i) => (b - fullInputShape[i] % b) % b);\n  const padEnd = origPadEnd.map((s, i) => s + padEndExtra[i]);\n  const paddings = blockShape.map((_, i) => [padStart[i], padEnd[i]]);\n  const crops = blockShape.map((_, i) => [0, padEndExtra[i]]);\n  return [paddings, crops];\n}\n\n// Helper function to compute base paddings for pool with dilation > 1.\n// tslint:disable-next-line:max-line-length\n// https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/nn_ops.py#L524\nfunction withSpaceToBatchBasePaddings(\n    filterShape: [number, number], dilation: [number, number]) {\n  // Spatial dimensions of the filters and the upsampled filters in which we\n  // introduce (rate - 1) zeros between consecutive filter values.\n  const dilatedFilterShape = filterShape.map((s, i) => {\n    return s + (s - 1) * (dilation[i] - 1);\n  });\n  const padExtraShape = dilatedFilterShape.map(s => s - 1);\n\n  // When padding is odd, we pad more at end, following the same\n  // convention as conv2d.\n  const padExtraStart = padExtraShape.map(s => Math.floor(s / 2));\n  const padExtraEnd = padExtraShape.map((s, i) => s - padExtraStart[i]);\n  return padExtraShape.map((_, i) => {\n    return [padExtraStart[i], padExtraEnd[i]];\n  });\n}\n\n/**\n * Computes the 3D average pooling.\n *\n * ```js\n * const x = tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]);\n * const result = tf.avgPool3d(x, 2, 1, 'valid');\n * result.print();\n * ```\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     `[batch, depth, height, width, inChannels]`.\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     If `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`.\n *     If `strides` is a single number,\n *     then `strideDepth == strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1*1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction avgPool3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations?: [number, number, number]|number,\n    ): T {\n  const $x = convertToTensor(x, 'x', 'avgPool3d', 'float32');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in avgPool3d: x must be rank 5 but got rank ${x5D.rank}.`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in avgPool3d: Only NDHWC is currently supported, ` +\n          `but got dataFormat of ${dataFormat}`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool3d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in avgPool3d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      x5D.shape, filterSize, strides, dilations, pad, dimRoundingMode,\n      dataFormat);\n\n  const grad = (dy: Tensor5D) => {\n    return {\n      x: () => avgPool3dBackprop(\n          dy, x5D, filterSize, strides, dilations, pad, dimRoundingMode)\n    };\n  };\n\n  let res = ENGINE.runKernelFunc(\n      backend => backend.avgPool3d(x5D, convInfo), {x: x5D}, grad);\n  res = res.cast(x5D.dtype);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 3d avg pool.\n *\n * @param dy The dy error, of rank 5 of shape\n *     [batchSize, depth, height, width, channels].\n * assumed.\n * @param input The original input image, of rank 5 or rank4 of shape\n *     [batchSize, depth, height, width, channels].\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction avgPool3dBackprop<T extends Tensor4D|Tensor5D>(\n    dy: T|TensorLike, input: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    dilations: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $dy = convertToTensor(dy, 'dy', 'avgPool3dBackprop');\n  const $input = convertToTensor(input, 'input', 'avgPool3dBackprop');\n\n  let dy5D = $dy as Tensor5D;\n  let input5D = $input as Tensor5D;\n  let reshapedTo5D = false;\n  if ($input.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = $dy.as5D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]);\n    input5D = $input.as5D(\n        1, $input.shape[0], $input.shape[1], $input.shape[2], $input.shape[3]);\n  }\n\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in avgPool3dBackprop: dy must be rank 5 but got rank ` +\n          `${dy5D.rank}.`);\n  util.assert(\n      input5D.rank === 5,\n      () => `Error in avgPool3dBackprop: input must be rank 5 but got rank ` +\n          `${input5D.rank}.`);\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool3dBackprop: Either strides or dilations ' +\n          `must be 1. Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3dBackprop: pad must be an integer when ` +\n            `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      input5D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.avgPool3dBackprop(dy5D, input5D, convInfo),\n      {dy5D, input5D});\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the 3D max pooling.\n *\n * ```js\n * const x = tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]);\n * const result = tf.maxPool3d(x, 2, 1, 'valid');\n * result.print();\n * ```\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     `[batch, depth, height, width, inChannels]`.\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     If `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`.\n *     If `strides` is a single number,\n *     then `strideDepth == strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1*1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPool3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations?: [number, number, number]|number): T {\n  const $x = convertToTensor(x, 'x', 'maxPool3d');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in maxPool3d: x must be rank 5 but got rank ${x5D.rank}.`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in maxPool3d: Only NDHWC is currently supported, ` +\n          `but got dataFormat of ${dataFormat}`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool3d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      x5D.shape, filterSize, strides, dilations, pad, dimRoundingMode,\n      dataFormat);\n\n  const grad = (dy: Tensor5D, saved: Tensor[]) => {\n    const [x5D, y] = saved;\n    return {\n      x: () => maxPool3dBackprop(\n          dy, x5D as Tensor5D, y as Tensor5D, filterSize, strides, dilations,\n          pad, dimRoundingMode)\n    };\n  };\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.maxPool3d(x5D, convInfo);\n    save([x5D, y]);\n    return y;\n  }, {x: x5D}, grad);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 3d max pool.\n *\n * @param dy The dy error, of rank 5 of shape\n *     [batchSize, depth, height, width, channels].\n * assumed.\n * @param input The original input image, of rank 5 or rank 4 of shape\n *     [batchSize, depth, height, width, channels].\n * @param output The original output image, of rank 5 of shape\n *     [batchSize, outDepth, outHeight, outWidth, channels].\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction maxPool3dBackprop<T extends Tensor4D|Tensor5D>(\n    dy: T|TensorLike, input: T|TensorLike, output: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    dilations: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $dy = convertToTensor(dy, 'dy', 'maxPool3dBackprop');\n  const $input = convertToTensor(input, 'input', 'maxPool3dBackprop');\n  const $output = convertToTensor(output, 'output', 'maxPool3dBackprop');\n\n  let dy5D = $dy as Tensor5D;\n  let input5D = $input as Tensor5D;\n  let output5D = $output as Tensor5D;\n  let reshapedTo5D = false;\n  if ($input.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = $dy.as5D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]);\n    input5D = $input.as5D(\n        1, $input.shape[0], $input.shape[1], $input.shape[2], $input.shape[3]);\n    output5D = $output.as5D(\n        1, $output.shape[0], $output.shape[1], $output.shape[2],\n        $output.shape[3]);\n  }\n\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in maxPool3dBackprop: dy must be rank 5 but got rank ` +\n          `${dy5D.rank}.`);\n  util.assert(\n      input5D.rank === 5,\n      () => `Error in maxPool3dBackprop: input must be rank 5 but got rank ` +\n          `${input5D.rank}.`);\n  util.assert(\n      output5D.rank === 5,\n      () => `Error in maxPool3dBackprop: output must be rank 5 but got rank ` +\n          `${output5D.rank}.`);\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool3dBackprop: Either strides or dilations ' +\n          `must be 1. Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3dBackprop: pad must be an integer when ` +\n            `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      input5D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.maxPool3dBackprop(dy5D, input5D, output5D, convInfo),\n      {dy5D, input5D});\n\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\nexport const maxPool = op({maxPool_});\nexport const avgPool = op({avgPool_});\nexport const pool = op({pool_});\nexport const maxPool3d = op({maxPool3d_});\nexport const avgPool3d = op({avgPool3d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\nimport * as slice_util from './slice_util';\n\n/**\n * Extracts a 1D slice from 1D array starting at coordinates `begin` and is\n * of length `size`. See `slice` for details.\n */\nfunction slice1d_(\n    x: Tensor1D|TensorLike, begin: number, size: number): Tensor1D {\n  const $x = convertToTensor(x, 'x', 'slice1d');\n  util.assert(\n      $x.rank === 1,\n      () =>\n          `slice1d expects a rank-1 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, [begin], [size]);\n}\n\n/**\n * Extracts a 2D slice from a 2D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice2d_(\n    x: Tensor2D|TensorLike, begin: [number, number],\n    size: [number, number]): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'slice2d');\n  util.assert(\n      $x.rank === 2,\n      () =>\n          `slice2d expects a rank-2 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a 3D slice from a 3D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice3d_(\n    x: Tensor3D|TensorLike, begin: [number, number, number],\n    size: [number, number, number]): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'slice3d');\n  util.assert(\n      $x.rank === 3,\n      () =>\n          `slice3d expects a rank-3 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a 4D slice from a 4D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice4d_(\n    x: Tensor4D|TensorLike, begin: [number, number, number, number],\n    size: [number, number, number, number]): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'slice4d');\n  util.assert(\n      $x.rank === 4,\n      () =>\n          `slice4d expects a rank-4 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a slice from a `tf.Tensor` starting at coordinates `begin`\n * and is of size `size`.\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that `x` is of the given rank:\n *   - `tf.slice1d`\n *   - `tf.slice2d`\n *   - `tf.slice3d`\n *   - `tf.slice4d`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.slice([1], [2]).print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * x.slice([1, 0], [1, 2]).print();\n * ```\n * @param x The input `tf.Tensor` to slice from.\n * @param begin The coordinates to start the slice from. The length can be\n *     less than the rank of x - the rest of the axes will have implicit 0 as\n *     start. Can also be a single number, in which case it specifies the\n *     first axis.\n * @param size The size of the slice. The length can be less than the rank of\n *     x - the rest of the axes will have implicit -1. A value of -1 requests\n *     the rest of the dimensions in the axis. Can also be a single number,\n *     in which case it specifies the size of the first axis.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction slice_<R extends Rank, T extends Tensor<R>>(\n    x: T|TensorLike, begin: number|number[], size?: number|number[]): T {\n  const $x = convertToTensor(x, 'x', 'slice');\n\n  if ($x.rank === 0) {\n    throw new Error('Slicing scalar is not possible');\n  }\n  // The following logic allows for more ergonomic calls.\n  let begin_: number[];\n  if (typeof begin === 'number') {\n    begin_ = [begin, ...new Array($x.rank - 1).fill(0)];\n  } else if (begin.length < $x.rank) {\n    begin_ = begin.concat(new Array($x.rank - begin.length).fill(0));\n  } else {\n    begin_ = begin.slice();\n  }\n  begin_.forEach(d => {\n    util.assert(\n        d !== -1, () => 'slice() does not support negative begin indexing.');\n  });\n  let size_: number[];\n  if (size == null) {\n    size_ = new Array($x.rank).fill(-1);\n  } else if (typeof size === 'number') {\n    size_ = [size, ...new Array($x.rank - 1).fill(-1)];\n  } else if (size.length < $x.rank) {\n    size_ = size.concat(new Array($x.rank - size.length).fill(-1));\n  } else {\n    size_ = size;\n  }\n  size_ = size_.map((d, i) => {\n    if (d >= 0) {\n      return d;\n    } else {\n      util.assert(\n          d === -1,\n          () => `Negative size values should be exactly -1 but got ` +\n              `${d} for the slice() size at index ${i}.`);\n      return $x.shape[i] - begin_[i];\n    }\n  });\n  slice_util.assertParamsValid($x, begin_, size_);\n  const inputShape = $x.shape;\n  const grad = (dy: T) => {\n    // Create an Nx2 padding where the first column represents how many\n    // zeros are prepended (at start) for each dimension, and the second\n    // column indicates how many zeros are appended (at end).\n\n    // The number of zeros to append is the shape of the input\n    // elementwise-subtracted by both the begin vector and sizes vector.\n    const paddings: Array<[number, number]> = [];\n    for (let i = 0; i < dy.rank; i++) {\n      paddings.push([begin_[i], inputShape[i] - begin_[i] - size_[i]]);\n    }\n    return {x: () => dy.pad(paddings)};\n  };\n  const attrs = {begin: begin_, size: size_};\n  return ENGINE.runKernelFunc(\n      backend => backend.slice($x, begin_, size_), {x: $x}, grad, 'Slice',\n      attrs);\n}\n\nexport const slice = op({slice_});\nexport const slice1d = op({slice1d_});\nexport const slice2d = op({slice2d_});\nexport const slice3d = op({slice3d_});\nexport const slice4d = op({slice4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\nimport {ones, scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes the log(sum(exp(elements across the reduction dimensions)).\n *\n * Reduces the input along the dimensions given in `axis`. Unless `keepDims`\n * is true, the rank of the array is reduced by 1 for each entry in `axis`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axis` has no entries, all dimensions are reduced, and an array with a\n * single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.logSumExp().print();  // or tf.logSumExp(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.logSumExp(axis).print();  // or tf.logSumExp(a, axis)\n * ```\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. If null (the default),\n *     reduces all dimensions.\n * @param keepDims If true, retains reduced dimensions with length\n *     of 1. Defaults to false.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction logSumExp_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  const $x = convertToTensor(x, 'x', 'logSumExp');\n\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const xMax = $x.max(axes, true /* keepDims */);\n  const a = $x.sub(xMax);\n  const b = a.exp();\n  const c = b.sum(axes);\n  const d = c.log();\n  const res = xMax.reshape(d.shape).add(d);\n\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, axes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the sum of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If axes has no entries, all dimensions are reduced, and a\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.sum().print();  // or tf.sum(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.sum(axis).print();  // or tf.sum(x, axis)\n * ```\n *\n * @param x The input tensor to compute the sum over. If the dtype is `bool`\n *   it will be converted to `int32` and the output dtype will be `int32`.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction sum_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'sum');\n\n  if ($x.dtype === 'bool') {\n    $x = $x.toInt();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n\n  // Use a custom gradient to bypass 2 gradient backprops since sum is used\n  // extremely often.\n  const customOp = customGrad((x: Tensor) => {\n    const permutation = axis_util.getAxesPermutation(axes, x.rank);\n    let reductionAxes = axes;\n    let permutedX = x;\n    if (permutation != null) {\n      permutedX = x.transpose(permutation);\n      reductionAxes = axis_util.getInnerMostAxes(reductionAxes.length, x.rank);\n    }\n\n    const gradFunc = (dy: Tensor) => {\n      const expandedDyShape = x.shape.slice();\n      axes.forEach(axis => {\n        expandedDyShape[axis] = 1;\n      });\n      const expandedDy = dy.reshape(expandedDyShape);\n      const derX = expandedDy.mul(ones(x.shape, 'float32'));\n      return derX;\n    };\n\n    const gradInputs = (dy: Tensor) => {\n      return {x: () => gradFunc(dy)};\n    };\n\n    const attrs = {axes: reductionAxes};\n    let value = ENGINE.runKernelFunc(\n        backend => backend.sum(permutedX, reductionAxes), {x: permutedX},\n        gradInputs, 'Sum', attrs);\n\n    if (keepDims) {\n      const newShape = axis_util.expandShapeToKeepDim(value.shape, axes);\n      value = value.reshape(newShape);\n    }\n\n    return {value, gradFunc};\n  });\n\n  return customOp($x) as T;\n}\n\n/**\n * Computes the product of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and a\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.prod().print();  // or tf.prod(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.prod(axis).print();  // or tf.prod(x, axis)\n * ```\n *\n * @param x The input tensor to compute the product over. If the dtype is `bool`\n *   it will be converted to `int32` and the output dtype will be `int32`.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction prod_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'prod');\n\n  if ($x.dtype === 'bool') {\n    $x = $x.toInt();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n\n  const permutation = axis_util.getAxesPermutation(axes, $x.rank);\n  let reductionAxes = axes;\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX = $x.transpose(permutation);\n    reductionAxes = axis_util.getInnerMostAxes(reductionAxes.length, $x.rank);\n  }\n  let value = ENGINE.runKernelFunc(\n      backend => backend.prod(permutedX, reductionAxes), {permutedX});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(value.shape, axes);\n    value = value.reshape(newShape);\n  }\n\n  return value as T;\n}\n/**\n * Computes the mean of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces `x` along the dimensions given in `axis`. Unless `keepDims` is\n * true, the rank of the `tf.Tensor` is reduced by 1 for each entry in `axis`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axis` has no entries, all dimensions are reduced, and a `tf.Tensor` with\n * a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.mean().print();  // or tf.mean(a)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.mean(axis).print();  // or tf.mean(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction mean_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  const $x = convertToTensor(x, 'x', 'mean');\n\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const shapes = axis_util.computeOutAndReduceShapes($x.shape, axes);\n  const reduceShape = shapes[1];\n  const reduceSize = util.sizeFromShape(reduceShape);\n\n  // Use a custom gradient to bypass 2 gradient backprops since mean is used\n  // extremely often.\n  const customOp = customGrad((x: Tensor) => {\n    const reduceSizeScalar = scalar(reduceSize);\n    // Cast if needed.\n    const xReduce =\n        reduceSizeScalar.dtype === x.dtype ? x : x.cast(reduceSizeScalar.dtype);\n    const res = xReduce.div(reduceSizeScalar);\n    const value = res.sum(axis, keepDims);\n\n    const gradFunc = (dy: Tensor) => {\n      const expandedDyShape = x.shape.slice();\n      axes.forEach(axis => {\n        expandedDyShape[axis] = 1;\n      });\n      const expandedDy = dy.reshape(expandedDyShape);\n      const derX = expandedDy.mul(ones(x.shape, 'float32')).div(reduceSize);\n      return derX;\n    };\n    return {value, gradFunc};\n  });\n\n  return customOp($x) as T;\n}\n\n/**\n * Gradient helper function for the min and max operations.\n */\nfunction gradForMinAndMax<T extends Tensor>(\n    dy: T, y: T, xOrig: Tensor, origAxes: number[], permutedAxes: number[]) {\n  if (y.rank < xOrig.rank) {\n    y = y.reshape(axis_util.expandShapeToKeepDim(y.shape, origAxes)) as T;\n  }\n  if (dy.rank < xOrig.rank) {\n    dy = dy.reshape(axis_util.expandShapeToKeepDim(dy.shape, origAxes)) as T;\n  }\n  return {\n    x: () => {\n      const dx = dy.mul(xOrig.equal(y).cast(dy.dtype));\n      return permutedAxes == null ? dx : dx.transpose(permutedAxes);\n    }\n  };\n}\n\n/**\n * Computes the minimum value from the input.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the array is reduced by 1 for each entry in `axes`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axes` has no entries, all dimensions are reduced, and an array with a\n * single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.min().print();  // or tf.min(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.min(axis).print();  // or tf.min(x, axis)\n * ```\n *\n * @param x The input Tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction min_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'min');\n  const xOrig = $x;\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n\n  const grad = (dy: T, saved: Tensor[]) =>\n      gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);\n\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [true];\n  let res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.min($x, axes);\n    save([xOrig, y]);\n    return y as T;\n  }, {x: $x}, grad, 'Min', {axes}, inputsToSave, outputsToSave);\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    res = res.reshape(newShape) as T;\n  }\n  return res;\n}\n\n/**\n * Computes the maximum of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.max().print();  // or tf.max(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.max(axis).print();  // or tf.max(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction max_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'max');\n  const xOrig = $x;\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n\n  const grad = (dy: T, saved: Tensor[]) =>\n      gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);\n\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [true];\n  let res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.max($x, axes);\n    save([xOrig, y]);\n    return y;\n  }, {x: $x}, grad, 'Max', {axes}, inputsToSave, outputsToSave);\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    res = res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Returns the indices of the minimum values along an `axis`.\n *\n * The result has the same shape as `input` with the dimension along `axis`\n * removed.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.argMin().print();  // or tf.argMin(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);\n *\n * const axis = 1;\n * x.argMin(axis).print();  // or tf.argMin(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).\n *\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction argMin_<T extends Tensor>(x: Tensor|TensorLike, axis = 0): T {\n  let $x = convertToTensor(x, 'x', 'argMin');\n\n  if (axis == null) {\n    axis = 0;\n  }\n  let axes = util.parseAxisParam(axis, $x.shape);\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => zerosLike($x)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.argMin($x, axes[0]);\n    save([$x]);\n    return res;\n  }, {$x}, grad) as T;\n}\n\n/**\n * Returns the indices of the maximum values along an `axis`.\n *\n * The result has the same shape as `input` with the dimension along `axis`\n * removed.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.argMax().print();  // or tf.argMax(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);\n *\n * const axis = 1;\n * x.argMax(axis).print();  // or tf.argMax(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction argMax_<T extends Tensor>(x: Tensor|TensorLike, axis = 0): T {\n  let $x = convertToTensor(x, 'x', 'argMax');\n\n  if (axis == null) {\n    axis = 0;\n  }\n  let axes = util.parseAxisParam(axis, $x.shape);\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => zerosLike($x)};\n  };\n  const attrs = {axis: axes[0]};\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.argMax($x, axes[0]);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'ArgMax', attrs, inputsToSave) as T;\n}\n\n/**\n * Computes the logical and of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 1, 1], 'bool');\n *\n * x.all().print();  // or tf.all(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');\n *\n * const axis = 1;\n * x.all(axis).print();  // or tf.all(x, axis)\n * ```\n *\n * @param x The input tensor. Must be of dtype bool.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction all_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'all', 'bool');\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const res = ENGINE.runKernelFunc(backend => backend.all($x, axes), {$x});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the logical or of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 1, 1], 'bool');\n *\n * x.any().print();  // or tf.any(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');\n *\n * const axis = 1;\n * x.any(axis).print();  // or tf.any(x, axis)\n * ```\n *\n * @param x The input tensor. Must be of dtype bool.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction any_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'any', 'bool');\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const res = ENGINE.runKernelFunc(backend => backend.any($x, axes), {$x});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Calculates the mean and variance of `x`. The mean and variance are\n * calculated by aggregating the contents of `x` across `axes`. If `x` is\n * 1-D and `axes = [0]` this is just the mean and variance of a vector.\n *\n * @param x The input tensor.\n * @param axis The dimension(s) along with to compute mean and\n *     variance. By default it reduces all dimensions.\n * @param keepDims If true, the moments have the same dimensionality as the\n *     input.\n * @return An object with two keys: `mean` and `variance`.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction moments_(\n    x: Tensor|TensorLike, axis: number|number[] = null,\n    keepDims = false): {mean: Tensor, variance: Tensor} {\n  x = convertToTensor(x, 'x', 'moments');\n  const axes = util.parseAxisParam(axis, x.shape);\n  const mean = x.mean(axes, keepDims);\n  let keepDimsShape = mean.shape;\n  if (!keepDims) {\n    keepDimsShape = axis_util.expandShapeToKeepDim(mean.shape, axes);\n  }\n  const devSquared = x.toFloat().sub(mean.reshape(keepDimsShape)).square();\n  const variance = devSquared.mean(axes, keepDims);\n  return {mean, variance};\n}\n\nexport const all = op({all_});\n// tslint:disable-next-line:variable-name\nexport const any = op({any_});\nexport const argMax = op({argMax_});\nexport const argMin = op({argMin_});\nexport const logSumExp = op({logSumExp_});\nexport const max = op({max_});\nexport const mean = op({mean_});\nexport const min = op({min_});\nexport const moments = op({moments_});\nexport const sum = op({sum_});\nexport const prod = op({prod_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {maximum} from './binary_ops';\nimport {getReductionAxes} from './broadcast_util';\nimport {where} from './logical_ops';\nimport {op} from './operation';\nimport {SELU_SCALE, SELU_SCALEALPHA} from './selu_util';\nimport {scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes rectified linear element-wise: `max(x, 0)`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.relu().print();  // or tf.relu(x)\n * ```\n * @param x The input tensor. If the dtype is `bool`, the output dtype will be\n *     `int32'.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction relu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'relu');\n\n  if ($x.dtype === 'bool') {\n    return $x.toInt();\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.mulStrict($x.step().toFloat() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.relu($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Relu');\n}\n\n/**\n * Computes rectified linear 6 element-wise: `min(max(x, 0), 6)`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 8]);\n *\n * x.relu6().print();  // or tf.relu6(x)\n * ```\n * @param x The input tensor. If the dtype is `bool`, the output dtype will be\n *     `int32'.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction relu6_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'relu6');\n\n  if ($x.dtype === 'bool') {\n    return $x.toInt();\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    const mask = $x.lessEqual(6).mul($x.step());\n    return {x: () => dy.mulStrict(mask.toFloat() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.relu6($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Relu6');\n}\n\n/**\n * Computes exponential linear element-wise: `x > 0 ? e ^ x - 1 : 0`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 1, -3, 2]);\n *\n * x.elu().print();  // or tf.elu(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction elu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'elu');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {\n      $x: () =>\n          ENGINE.runKernelFunc(backend => backend.eluDer(dy, y), {dy, y}) as T\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.elu($x);\n    save([y]);\n    return y;\n  }, {$x}, grad);\n}\n\n/**\n * Computes scaled exponential linear element-wise.\n *\n * `x < 0 ? scale * alpha * (exp(x) - 1) : x`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.selu().print();  // or tf.selu(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction selu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'selu');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => {\n        const mask = $x.greater(scalar(0));\n\n        const scaleAlpha = scalar(SELU_SCALEALPHA);\n        const scale = scalar(SELU_SCALE);\n\n        const greaterThanZeroDer = dy.mul(scale);\n        const lessEqualZeroDer = dy.mul(scaleAlpha).mul($x.toFloat().exp());\n\n        return where(mask, greaterThanZeroDer, lessEqualZeroDer) as T;\n      }\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.selu($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes leaky rectified linear element-wise.\n *\n * See\n * [http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf](\n *     http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf)\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.leakyRelu(0.1).print();  // or tf.leakyRelu(x, 0.1)\n * ```\n * @param x The input tensor.\n * @param alpha The scaling factor for negative values, defaults to 0.2.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction leakyRelu_<T extends Tensor>(x: T|TensorLike, alpha = 0.2): T {\n  const $x = convertToTensor(x, 'x', 'leakyRelu');\n  return maximum(scalar(alpha).mul($x), $x);\n}\n\n/**\n * Computes leaky rectified linear element-wise with parametric alphas.\n *\n * `x < 0 ? alpha * x : f(x) = x`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n * const alpha = tf.scalar(0.1);\n *\n * x.prelu(alpha).print();  // or tf.prelu(x, alpha)\n * ```\n * @param x The input tensor.\n * @param alpha Scaling factor for negative values.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction prelu_<T extends Tensor>(x: T|TensorLike, alpha: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'prelu');\n  const $alpha = convertToTensor(alpha, 'alpha', 'prelu');\n\n  const grad = (dy: Tensor, saved: Tensor[]) => {\n    const [$x, $alpha] = saved;\n    const mask = $x.greater(0);\n\n    return {\n      x: () => where(mask, dy, dy.mul($alpha)) as T,\n      alpha: () => {\n        let res = where(mask, zerosLike(dy), dy.mul($x));\n        const reduceAxes = getReductionAxes($alpha.shape, dy.shape);\n        if (reduceAxes.length > 0) {\n          res = res.sum(reduceAxes);\n        }\n        return res.reshape($alpha.shape) as T;\n      }\n    };\n  };\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.prelu($x, $alpha);\n    save([$x, $alpha]);\n    return res;\n  }, {x: $x, alpha: $alpha}, grad, 'Prelu') as T;\n}\n\nexport const elu = op({elu_});\nexport const leakyRelu = op({leakyRelu_});\nexport const prelu = op({prelu_});\nexport const relu = op({relu_});\nexport const relu6 = op({relu6_});\nexport const selu = op({selu_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\n\n/**\n * Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`.\n *\n * The returned `tf.Tensor`'s dimension `i` will correspond to the input\n * dimension `perm[i]`. If `perm` is not given, it is set to `[n-1...0]`,\n * where `n` is the rank of the input `tf.Tensor`. Hence by default, this\n * operation performs a regular matrix transpose on 2-D input `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n *\n * a.transpose().print();  // or tf.transpose(a)\n * ```\n *\n * @param x The tensor to transpose.\n * @param perm The permutation of the dimensions of a.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction transpose_<T extends Tensor>(x: T|TensorLike, perm?: number[]): T {\n  const $x = convertToTensor(x, 'x', 'transpose');\n\n  if (perm == null) {\n    perm = $x.shape.map((s, i) => i).reverse();\n  }\n  util.assert(\n      $x.rank === perm.length,\n      () => `Error in transpose: rank of input ${$x.rank} ` +\n          `must match length of perm ${perm}.`);\n  perm.forEach(axis => {\n    util.assert(\n        axis >= 0 && axis < $x.rank,\n        () => `All entries in 'perm' must be between 0 and ${$x.rank - 1}` +\n            ` but got ${perm}`);\n  });\n\n  if ($x.rank <= 1) {\n    return $x.clone();\n  }\n\n  const der = (dy: T) => {\n    const undoPerm = axis_util.getUndoAxesPermutation(perm);\n    return {x: () => dy.transpose(undoPerm)};\n  };\n  const attrs = {perm};\n  return ENGINE.runKernelFunc(\n      backend => backend.transpose($x, perm), {x: $x}, der, 'Transpose', attrs);\n}\n\nexport const transpose = op({transpose_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Normalizes the activation of a local neighborhood across or within\n * channels.\n *\n * @param x The input tensor. The 4-D input tensor is treated as a 3-D array\n *     of 1D vectors (along the last dimension), and each vector is\n *     normalized independently.\n * @param depthRadius The number of adjacent channels in the 1D normalization\n *     window.\n * @param bias A constant bias term for the basis.\n * @param alpha A scale factor, usually positive.\n * @param beta An exponent.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction localResponseNormalization_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, depthRadius = 5, bias = 1, alpha = 1, beta = 0.5): T {\n  const $x = convertToTensor(x, 'x', 'localResponseNormalization');\n  util.assert(\n      $x.rank === 4 || $x.rank === 3,\n      () => `Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank ${$x.rank}.`);\n  util.assert(\n      util.isInt(depthRadius),\n      () => `Error in localResponseNormalization: depthRadius must be an ` +\n          `integer but got depthRadius ${depthRadius}.`);\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    const [x4D, y] = saved;\n    return {\n      x4D: () => ENGINE.runKernelFunc(\n          backend => backend.LRNGrad(\n              dy, x4D as Tensor4D, y as Tensor4D, depthRadius, bias, alpha,\n              beta),\n          {})\n    };\n  };\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.localResponseNormalization4D(\n        x4D, depthRadius, bias, alpha, beta);\n    save([x4D, y]);\n    return y;\n  }, {x4D}, backward);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  } else {\n    return res as T;\n  }\n}\n\nexport const localResponseNormalization = op({localResponseNormalization_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {parseAxisParam} from '../util';\n\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Computes the norm of scalar, vectors, and matrices.\n * This function can compute several different vector norms (the 1-norm, the\n * Euclidean or 2-norm, the inf-norm, and in general the p-norm for p > 0)\n * and matrix norms (Frobenius, 1-norm, and inf-norm).\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.norm().print();  // or tf.norm(x)\n * ```\n *\n * @param x The input array.\n * @param ord Optional. Order of the norm. Supported norm types are\n * following:\n *\n *  | ord        | norm for matrices         | norm for vectors\n *  |------------|---------------------------|---------------------\n *  |'euclidean' |Frobenius norm             |2-norm\n *  |'fro'       |Frobenius norm\t           |\n *  |Infinity    |max(sum(abs(x), axis=1))   |max(abs(x))\n *  |-Infinity   |min(sum(abs(x), axis=1))   |min(abs(x))\n *  |1           |max(sum(abs(x), axis=0))   |sum(abs(x))\n *  |2           |                           |sum(abs(x)^2)^1/2*\n *\n * @param axis Optional. If axis is null (the default), the input is\n * considered a vector and a single vector norm is computed over the entire\n * set of values in the Tensor, i.e. norm(x, ord) is equivalent\n * to norm(x.reshape([-1]), ord). If axis is a integer, the input\n * is considered a batch of vectors, and axis determines the axis in x\n * over which to compute vector norms. If axis is a 2-tuple of integer it is\n * considered a batch of matrices and axis determines the axes in NDArray\n * over which to compute a matrix norm.\n * @param keepDims Optional. If true, the norm have the same dimensionality\n * as the input.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction norm_(\n    x: Tensor|TensorLike, ord: number|'euclidean'|'fro' = 'euclidean',\n    axis: number|number[] = null, keepDims = false): Tensor {\n  x = convertToTensor(x, 'x', 'norm');\n\n  const norm = normImpl(x, ord, axis);\n  let keepDimsShape = norm.shape;\n  if (keepDims) {\n    const axes = parseAxisParam(axis, x.shape);\n    keepDimsShape = axis_util.expandShapeToKeepDim(norm.shape, axes);\n  }\n  return norm.reshape(keepDimsShape);\n}\n\nfunction normImpl(\n    x: Tensor, p: number|string, axis: number|number[] = null): Tensor {\n  if (x.rank === 0) {\n    return x.abs();\n  }\n\n  // consider vector when no axis is specified\n  if (x.rank !== 1 && axis === null) {\n    return normImpl(x.reshape([-1]), p, axis);\n  }\n\n  // vector\n  if (x.rank === 1 || typeof axis === 'number' ||\n      Array.isArray(axis) && axis.length === 1) {\n    if (p === 1) {\n      return x.abs().sum(axis);\n    }\n    if (p === Infinity) {\n      return x.abs().max(axis);\n    }\n    if (p === -Infinity) {\n      return x.abs().min(axis);\n    }\n    if (p === 'euclidean' || p === 2) {\n      // norm(x, 2) = sum(abs(xi) ^ 2) ^ 1/2\n      return x.abs().pow(scalar(2, 'int32')).sum(axis).sqrt();\n    }\n\n    throw new Error(`Error in norm: invalid ord value: ${p}`);\n  }\n\n  // matrix (assumption axis[0] < axis[1])\n  if (Array.isArray(axis) && axis.length === 2) {\n    if (p === 1) {\n      return x.abs().sum(axis[0]).max(axis[1] - 1);\n    }\n    if (p === Infinity) {\n      return x.abs().sum(axis[1]).max(axis[0]);\n    }\n    if (p === -Infinity) {\n      return x.abs().sum(axis[1]).min(axis[0]);\n    }\n    if (p === 'fro' || p === 'euclidean') {\n      // norm(x) = sqrt(sum(pow(x, 2)))\n      return x.square().sum(axis).sqrt();\n    }\n\n    throw new Error(`Error in norm: invalid ord value: ${p}`);\n  }\n\n  throw new Error(`Error in norm: invalid axis: ${axis}`);\n}\n\nexport const norm = op({norm_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Scalar, Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * @docalias (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D]\n */\nexport type LSTMCellFunc = {\n  (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D];\n};\n\n/**\n * Computes the next states and outputs of a stack of LSTMCells.\n *\n * Each cell output is used as input to the next cell.\n *\n * Returns `[cellState, cellOutput]`.\n *\n * Derived from tf.contrib.rn.MultiRNNCell.\n *\n * @param lstmCells Array of LSTMCell functions.\n * @param data The input to the cell.\n * @param c Array of previous cell states.\n * @param h Array of previous cell outputs.\n */\n/** @doc {heading: 'Operations', subheading: 'RNN'} */\nfunction multiRNNCell_(\n    lstmCells: LSTMCellFunc[], data: Tensor2D|TensorLike,\n    c: Array<Tensor2D|TensorLike>,\n    h: Array<Tensor2D|TensorLike>): [Tensor2D[], Tensor2D[]] {\n  const $data = convertToTensor(data, 'data', 'multiRNNCell');\n  const $c = convertToTensorArray(c, 'c', 'multiRNNCell');\n  const $h = convertToTensorArray(h, 'h', 'multiRNNCell');\n\n  let input = $data;\n  const newStates = [];\n  for (let i = 0; i < lstmCells.length; i++) {\n    const output = lstmCells[i](input, $c[i], $h[i]);\n    newStates.push(output[0]);\n    newStates.push(output[1]);\n    input = output[1];\n  }\n  const newC: Tensor2D[] = [];\n  const newH: Tensor2D[] = [];\n  for (let i = 0; i < newStates.length; i += 2) {\n    newC.push(newStates[i]);\n    newH.push(newStates[i + 1]);\n  }\n  return [newC, newH];\n}\n\n/**\n * Computes the next state and output of a BasicLSTMCell.\n *\n * Returns `[newC, newH]`.\n *\n * Derived from tf.contrib.rnn.BasicLSTMCell.\n *\n * @param forgetBias Forget bias for the cell.\n * @param lstmKernel The weights for the cell.\n * @param lstmBias The bias for the cell.\n * @param data The input to the cell.\n * @param c Previous cell state.\n * @param h Previous cell output.\n */\n/** @doc {heading: 'Operations', subheading: 'RNN'} */\nfunction basicLSTMCell_(\n    forgetBias: Scalar|TensorLike, lstmKernel: Tensor2D|TensorLike,\n    lstmBias: Tensor1D|TensorLike, data: Tensor2D|TensorLike,\n    c: Tensor2D|TensorLike, h: Tensor2D|TensorLike): [Tensor2D, Tensor2D] {\n  const $forgetBias =\n      convertToTensor(forgetBias, 'forgetBias', 'basicLSTMCell');\n  const $lstmKernel =\n      convertToTensor(lstmKernel, 'lstmKernel', 'basicLSTMCell');\n  const $lstmBias = convertToTensor(lstmBias, 'lstmBias', 'basicLSTMCell');\n  const $data = convertToTensor(data, 'data', 'basicLSTMCell');\n  const $c = convertToTensor(c, 'c', 'basicLSTMCell');\n  const $h = convertToTensor(h, 'h', 'basicLSTMCell');\n\n  const combined = $data.concat($h, 1);\n  const weighted = combined.matMul($lstmKernel);\n  const res: Tensor2D = weighted.add($lstmBias);\n\n  // i = input_gate, j = new_input, f = forget_gate, o = output_gate\n  const batchSize = res.shape[0];\n  const sliceCols = res.shape[1] / 4;\n  const sliceSize: [number, number] = [batchSize, sliceCols];\n  const i = res.slice([0, 0], sliceSize);\n  const j = res.slice([0, sliceCols], sliceSize);\n  const f = res.slice([0, sliceCols * 2], sliceSize);\n  const o = res.slice([0, sliceCols * 3], sliceSize);\n\n  const newC = i.sigmoid().mulStrict(j.tanh()).addStrict(\n      $c.mulStrict($forgetBias.add(f).sigmoid() as Tensor2D));\n  const newH = newC.tanh().mulStrict(o.sigmoid());\n  return [newC, newH];\n}\n\nexport const basicLSTMCell = op({basicLSTMCell_});\nexport const multiRNNCell = op({multiRNNCell_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Scalar, Tensor} from '../tensor';\nimport {assertTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {pow} from './binary_ops';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Compute the moving average of a variable.\n *\n * Without zeroDebias, the moving average operation is defined by:\n *   `v += delta`\n * where\n *   `delta = (1 - decay) * (x - v)`\n *\n * With zeroDebias (default), the `delta` term is scaled to debias the\n * effect of the (assumed) zero-initialization of `v`.\n *   `delta /= (1 - decay ^ step)`\n *\n * For more details on the zero-debiasing algorithm, see:\n *   https://arxiv.org/abs/1412.6980\n *\n * Note that this function is completely stateless and does not keep track of\n * step count. The step count needs to be maintained by the caller and passed\n * in as `step`.\n *\n * @param v The current moving average value.\n * @param x New input value, must have the same shape and dtype as `v`.\n * @param decay The decay factor. Typical values are 0.95 and 0.99.\n * @param step Step count.\n * @param zeroDebias: Whether zeroDebias is to be performed (default: `true`).\n * @returns The new moving average value.\n */\n/** @doc {heading: 'Operations', subheading: 'Moving Average'} */\nfunction movingAverage_<T extends Tensor>(\n    v: T|TensorLike, x: T|TensorLike, decay: number|Scalar,\n    step?: number|Scalar, zeroDebias = true): T {\n  const $v = convertToTensor(v, 'v', 'movingAverage');\n  const $x = convertToTensor(x, 'x', 'movingAverage');\n  const $decay = convertToTensor(decay, 'decay', 'movingAverage');\n\n  assertTypesMatch($v, $x);\n  util.assert(\n      util.arraysEqual($v.shape, $x.shape), () => 'Shape mismatch in v and x');\n\n  const one = scalar(1);\n  const oneMinusDecay = one.sub($decay);\n\n  let update = $x.sub($v).mul(oneMinusDecay);\n  if (zeroDebias) {\n    util.assert(\n        step != null, () => 'When using zeroDebias: true, step is required.');\n    const $step = convertToTensor(step, 'step', 'movingAverage');\n    update = update.div(one.sub(pow($decay, $step)));\n  }\n  return $v.add(update);\n}\n\nexport const movingAverage = op({movingAverage_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\nimport {slice} from './slice';\nimport {computeOutShape, maskToAxes, startForAxis, stopForAxis} from './slice_util';\n\n/**\n * Extracts a strided slice of a tensor.\n *\n * Roughly speaking, this op extracts a slice of size (end-begin)/stride from\n * the given input tensor (x). Starting at the location specified by begin the\n * slice continues by adding stride to the index until all dimensions are not\n * less than end. Note that a stride can be negative, which causes a reverse\n * slice.\n *\n * ```js\n * const t = tf.tensor3d([1, 1, 1 ,2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],\n *    [3, 2, 3]);\n * t.stridedSlice([1, 0, 0], [2, 1, 3], [1, 1, 1]).print()  // [[[3, 3, 3]]]\n * t.stridedSlice([1, 0, 0], [2, 2, 3], [1, 1, 1]).print()  // [[[3, 3, 3],\n *                                                     // [4, 4, 4]]]\n * t.stridedSlice([1, -1, 0], [2, -3, 3], [1, -1, 1]).print() // [[[4, 4, 4],\n *                                                     // [3, 3, 3]]]\n * ```\n *\n * @param x The tensor to stride slice.\n * @param begin The coordinates to start the slice from.\n * @param end: The coordinates to end the slice at.\n * @param strides: The size of the slice.\n * @param beginMask: If the ith bit of beginMask is set, begin[i] is ignored\n *      and the fullest possible range in that dimension is used instead.\n * @param endMask: If the ith bit of endMask is set, end[i] is ignored\n *      and the fullest possible range in that dimension is used instead.\n * @param shrinkAxisMask: a bitmask where bit i implies that\n * the ith specification should shrink the dimensionality. begin and end must\n * imply a slice of size 1 in the dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction stridedSlice_(\n    x: Tensor|TensorLike, begin: number[], end: number[], strides?: number[],\n    beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0,\n    shrinkAxisMask = 0): Tensor {\n  if (strides == null) {\n    strides = new Array(begin.length);\n  }\n  if (ellipsisMask !== 0) {\n    throw new Error('ellipsis mask is not yet supported');\n  }\n  let $x = convertToTensor(x, 'x', 'stridedSlice');\n\n  // Expand the dims of x based on the newAxisMask.\n  const expandAxes = maskToAxes(newAxisMask);\n  const newShape = $x.shape.slice();\n  expandAxes.forEach(axis => {\n    begin[axis] = 0;\n    end[axis] = 1;\n    newShape.splice(axis, 0, 1);\n  });\n  $x = $x.reshape(newShape);\n\n  // Normalize the start, end and strides.\n  for (let axis = 0; axis < $x.rank; axis++) {\n    begin[axis] = startForAxis(beginMask, begin, strides, $x.shape, axis);\n    end[axis] = stopForAxis(endMask, end, strides, $x.shape, axis);\n    strides[axis] = strides[axis] || 1;\n  }\n\n  const shrinkAxes = maskToAxes(shrinkAxisMask);\n  // Adjust the ends based on the shrink mask.\n  shrinkAxes.forEach(axis => {\n    end[axis] = begin[axis] + 1;\n    strides[axis] = 1;\n  });\n\n  // Figure out the output shape.\n  const size = computeOutShape(begin, end, strides);\n  // Remove the axes based on shrinkMask.\n  const outShape = size.filter((_, axis) => shrinkAxes.indexOf(axis) === -1);\n\n  const nonStrided = strides.every(v => v === 1);\n  if (nonStrided) {\n    return slice($x, begin, size).reshape(outShape);\n  }\n  const res = ENGINE.runKernelFunc(\n      backend => backend.stridedSlice($x, begin, end, strides), {$x});\n  return res.reshape(outShape);\n}\n\nexport const stridedSlice = op({stridedSlice_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {NumericTensor, Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Finds the values and indices of the `k` largest entries along the last\n * dimension.\n *\n * If the input is a vector (rank=1), finds the k largest entries in the vector\n * and outputs their values and indices as vectors. Thus values[j] is the j-th\n * largest entry in input, and its index is indices[j].\n * For higher rank inputs, computes the top k entries along the last dimension.\n *\n * If two elements are equal, the lower-index element appears first.\n *\n * ```js\n * const a = tf.tensor2d([[1, 5], [4, 3]]);\n * const {values, indices} = tf.topk(a);\n * values.print();\n * indices.print();\n * ```\n * @param x 1-D or higher `tf.Tensor` with last dimension being at least `k`.\n * @param k Number of top elements to look for along the last dimension.\n * @param sorted If true, the resulting `k` elements will be sorted by the\n *     values in descending order.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nfunction topk_<T extends Tensor>(\n    x: T|TensorLike, k = 1, sorted = true): {values: T, indices: T} {\n  const $x = convertToTensor(x, 'x', 'topk');\n  if ($x.rank === 0) {\n    throw new Error('topk() expects the input to be of rank 1 or higher');\n  }\n  const lastDim = $x.shape[$x.shape.length - 1];\n  if (k > lastDim) {\n    throw new Error(\n        `'k' passed to topk() must be <= the last dimension (${lastDim}) ` +\n        `but got ${k}`);\n  }\n\n  const [values, indices] =\n      ENGINE.runKernelFunc(b => b.topk($x as NumericTensor, k, sorted), {$x});\n  return {values, indices} as {values: T, indices: T};\n}\n\nexport const topk = op({topk_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ShapeMap, TensorLike} from '../types';\nimport {op} from './operation';\nimport * as scatter_nd_util from './scatter_nd_util';\n\n/**\n * Creates a new tensor by applying sparse updates to individual\n * values or slices within a zero tensor of the given shape tensor according to\n * indices. This operator is the inverse of the `tf.gatherND` operator which\n * extracts values or slices from a given tensor.\n *\n * ```js\n * const indices = tf.tensor2d([4, 3, 1, 7], [4, 1], 'int32');\n * const updates = tf.tensor1d([9, 10, 11, 12]);\n * const shape = [8];\n * tf.scatterND(indices, updates, shape).print() //[0, 11, 0, 10, 9, 0, 0, 12]\n * ```\n *\n * @param indices The tensor contains the indices into the output tensor.\n * @param updates The tensor contains the value for the indices.\n * @param shape: The shape of the output tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction scatterND_<R extends Rank>(\n    indices: Tensor|TensorLike, updates: Tensor|TensorLike,\n    shape: ShapeMap[R]): Tensor<R> {\n  const $indices = convertToTensor(indices, 'indices', 'scatterND', 'int32');\n  const $updates = convertToTensor(updates, 'updates', 'scatterND');\n  scatter_nd_util.validateInput($updates, $indices, shape);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.scatterND($indices, $updates, shape),\n      {indices: $indices, updates: $updates}, null /* backward */, 'ScatterNd',\n      {shape});\n}\n\nexport const scatterND = op({scatterND_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {complex, imag, real} from '../ops/complex_ops';\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor2D} from '../tensor';\nimport {assert} from '../util';\nimport {scalar, zeros} from './tensor_ops';\n\n/**\n * Fast Fourier transform.\n *\n * Computes the 1-dimensional discrete Fourier transform over the inner-most\n * dimension of input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([1, 2, 3]);\n * const x = tf.complex(real, imag);\n *\n * x.fft().print();  // tf.spectral.fft(x).print();\n * ```\n * @param input The complex input to compute an fft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction fft_(input: Tensor): Tensor {\n  assert(\n      input.dtype === 'complex64',\n      () => `The dtype for tf.spectral.fft() must be complex64 ` +\n          `but got ${input.dtype}.`);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n  const input2D = input.as2D(batch, innerDimensionSize);\n\n  const ret = ENGINE.runKernelFunc(backend => backend.fft(input2D), {input});\n\n  return ret.reshape(input.shape);\n}\n\n/**\n * Inverse fast Fourier transform.\n *\n * Computes the inverse 1-dimensional discrete Fourier transform over the\n * inner-most dimension of input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([1, 2, 3]);\n * const x = tf.complex(real, imag);\n *\n * x.ifft().print();  // tf.spectral.ifft(x).print();\n * ```\n * @param input The complex input to compute an ifft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction ifft_(input: Tensor): Tensor {\n  assert(\n      input.dtype === 'complex64',\n      () => `The dtype for tf.spectral.ifft() must be complex64 ` +\n          `but got ${input.dtype}.`);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n  const input2D = input.as2D(batch, innerDimensionSize);\n\n  const ret = ENGINE.runKernelFunc(backend => backend.ifft(input2D), {input});\n\n  return ret.reshape(input.shape);\n}\n\n/**\n * Real value input fast Fourier transform.\n *\n * Computes the 1-dimensional discrete Fourier transform over the\n * inner-most dimension of the real input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n *\n * real.rfft().print();\n * ```\n * @param input The real value input to compute an rfft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction rfft_(input: Tensor, fftLength?: number): Tensor {\n  assert(\n      input.dtype === 'float32',\n      () => `The dtype for rfft() must be real value but got ${input.dtype}`);\n\n  let innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n\n  let adjustedInput: Tensor;\n  if (fftLength != null && fftLength < innerDimensionSize) {\n    // Need to crop\n    const begin = input.shape.map(v => 0);\n    const size = input.shape.map(v => v);\n    size[input.shape.length - 1] = fftLength;\n    adjustedInput = input.slice(begin, size);\n    innerDimensionSize = fftLength;\n  } else if (fftLength != null && fftLength > innerDimensionSize) {\n    // Need to pad with zeros\n    const zerosShape = input.shape.map(v => v);\n    zerosShape[input.shape.length - 1] = fftLength - innerDimensionSize;\n    adjustedInput = input.concat(zeros(zerosShape), input.shape.length - 1);\n    innerDimensionSize = fftLength;\n  } else {\n    adjustedInput = input;\n  }\n\n  // Complement the input with zero imaginary numbers.\n  const zerosInput = adjustedInput.zerosLike();\n  const complexInput =\n      complex(adjustedInput, zerosInput).as2D(batch, innerDimensionSize);\n\n  const ret = fft(complexInput);\n\n  // Exclude complex conjugations. These conjugations are put symmetrically.\n  const half = Math.floor(innerDimensionSize / 2) + 1;\n  const realValues = real(ret);\n  const imagValues = imag(ret);\n  const realComplexConjugate = realValues.split(\n      [half, innerDimensionSize - half], realValues.shape.length - 1);\n  const imagComplexConjugate = imagValues.split(\n      [half, innerDimensionSize - half], imagValues.shape.length - 1);\n\n  const outputShape = adjustedInput.shape.slice();\n  outputShape[adjustedInput.shape.length - 1] = half;\n\n  return complex(realComplexConjugate[0], imagComplexConjugate[0])\n      .reshape(outputShape);\n}\n\n/**\n * Inversed real value input fast Fourier transform.\n *\n * Computes the 1-dimensional inversed discrete Fourier transform over the\n * inner-most dimension of the real input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([0, 0, 0]);\n * const x = tf.complex(real, imag);\n *\n * x.irfft().print();\n * ```\n * @param input The real value input to compute an irfft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction irfft_(input: Tensor): Tensor {\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n\n  if (innerDimensionSize <= 2) {\n    const complexInput = input.as2D(batch, innerDimensionSize);\n    const ret = ifft(complexInput);\n    return real(ret);\n  } else {\n    // The length of unique components of the DFT of a real-valued signal\n    // is 2 * (input_len - 1)\n    const outputShape = [batch, 2 * (innerDimensionSize - 1)];\n    const realInput = real(input).as2D(batch, innerDimensionSize);\n    const imagInput = imag(input).as2D(batch, innerDimensionSize);\n\n    const realConjugate =\n        realInput.slice([0, 1], [batch, innerDimensionSize - 2]).reverse(1);\n    const imagConjugate: Tensor2D =\n        imagInput.slice([0, 1], [batch, innerDimensionSize - 2])\n            .reverse(1)\n            .mul(scalar(-1));\n\n    const r = realInput.concat(realConjugate, 1);\n    const i = imagInput.concat(imagConjugate, 1);\n    const complexInput = complex(r, i).as2D(outputShape[0], outputShape[1]);\n    const ret = ifft(complexInput);\n    return real(ret);\n  }\n}\n\nexport const fft = op({fft_});\nexport const ifft = op({ifft_});\nexport const rfft = op({rfft_});\nexport const irfft = op({irfft_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport * as sparse_to_dense from '../ops/sparse_to_dense_util';\nimport {Scalar, Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ScalarLike, ShapeMap, TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Converts a sparse representation into a dense tensor.\n *\n * Builds an array dense with shape outputShape such that:\n *\n * // If sparseIndices is scalar\n * dense[i] = (i == sparseIndices ? sparseValues : defaultValue)\n *\n * // If sparseIndices is a vector, then for each i\n * dense[sparseIndices[i]] = sparseValues[i]\n *\n * // If sparseIndices is an n by d matrix, then for each i in [0, n)\n * dense[sparseIndices[i][0], ..., sparseIndices[i][d-1]] = sparseValues[i]\n * All other values in dense are set to defaultValue. If sparseValues is a\n * scalar, all sparse indices are set to this single value.\n *\n * If indices are repeated the final value is summed over all values for those\n * indices.\n *\n * ```js\n * const indices = tf.tensor1d([4, 5, 6, 1, 2, 3], 'int32');\n * const values = tf.tensor1d([10, 11, 12, 13, 14, 15], 'float32');\n * const shape = [8];\n * tf.sparseToDense(indices, values, shape).print();\n * ```\n *\n * @param sparseIndices A 0-D, 1-D, or 2-D Tensor of type int32.\n * sparseIndices[i] contains the complete index where sparseValues[i] will be\n * placed.\n * @param sparseValues A 0-D or 1-D Tensor. Values\n * corresponding to each row of sparseIndices, or a scalar value to be used for\n * all sparse indices.\n * @param outputShape Shape of the dense output tensor. the type is inferred.\n * @param defaultValue Scalar. Value to set for indices not specified in\n * sparseIndices. Defaults to zero.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction sparseToDense_<R extends Rank>(\n    sparseIndices: Tensor|TensorLike, sparseValues: Tensor|TensorLike,\n    outputShape: ShapeMap[R], defaultValue: Scalar|ScalarLike = 0): Tensor<R> {\n  const $sparseIndices =\n      convertToTensor(sparseIndices, 'sparseIndices', 'sparseToDense', 'int32');\n  const $sparseValues =\n      convertToTensor(sparseValues, 'sparseValues', 'sparseToDense');\n  const $defaultValue = convertToTensor(\n      defaultValue, 'defaultValue', 'sparseToDense', $sparseValues.dtype);\n\n  sparse_to_dense.validateInput(\n      $sparseIndices, $sparseValues, outputShape, $defaultValue);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.sparseToDense(\n          $sparseIndices, $sparseValues, outputShape, $defaultValue),\n      {$sparseIndices, $sparseValues, $defaultValue});\n}\n\nexport const sparseToDense = op({sparseToDense_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '../tensor';\n\n/**\n * Validate sparseToDense inputs.\n *\n * @param sparseIndices A 0-D, 1-D, or 2-D Tensor of type int32.\n * sparseIndices[i] contains the complete index where sparseValues[i] will be\n * placed.\n * @param sparseValues A 0-D or 1-D Tensor. Values\n * corresponding to each row of sparseIndices, or a scalar value to be used for\n * all sparse indices.\n * @param outputShape number[]. Shape of the dense output tensor.\n * @param validateIndices boolean. indice validation is not supported, error\n * will be thrown if it is set.\n */\nexport function validateInput(\n    sparseIndices: Tensor, sparseValues: Tensor, outputShape: number[],\n    defaultValues: Tensor) {\n  if (sparseIndices.dtype !== 'int32') {\n    throw new Error(\n        'tf.sparseToDense() expects the indices to be int32 type,' +\n        ` but the dtype was ${sparseIndices.dtype}.`);\n  }\n  if (sparseIndices.rank > 2) {\n    throw new Error(\n        'sparseIndices should be a scalar, vector, or matrix,' +\n        ` but got shape ${sparseIndices.shape}.`);\n  }\n\n  const numElems = sparseIndices.rank > 0 ? sparseIndices.shape[0] : 1;\n  const numDims = sparseIndices.rank > 1 ? sparseIndices.shape[1] : 1;\n\n  if (outputShape.length !== numDims) {\n    throw new Error(\n        'outputShape has incorrect number of elements:,' +\n        ` ${outputShape.length}, should be: ${numDims}.`);\n  }\n\n  const numValues = sparseValues.size;\n  if (!(sparseValues.rank === 0 ||\n        sparseValues.rank === 1 && numValues === numElems)) {\n    throw new Error(\n        'sparseValues has incorrect shape ' +\n        `${sparseValues.shape}, should be [] or [${numElems}]`);\n  }\n\n  if (sparseValues.dtype !== defaultValues.dtype) {\n    throw new Error('sparseValues.dtype must match defaultValues.dtype');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Gather slices from input tensor into a Tensor with shape specified by\n * `indices`.\n *\n * `indices` is an K-dimensional integer tensor, best thought of as a\n * (K-1)-dimensional tensor of indices into input, where each element defines a\n * slice of input:\n * output[\\\\(i_0, ..., i_{K-2}\\\\)] = input[indices[\\\\(i_0, ..., i_{K-2}\\\\)]]\n *\n * Whereas in `tf.gather`, `indices` defines slices into the first dimension of\n * input, in `tf.gatherND`, `indices` defines slices into the first N dimensions\n * of input, where N = indices.shape[-1].\n *\n * The last dimension of indices can be at most the rank of input:\n * indices.shape[-1] <= input.rank\n *\n * The last dimension of `indices` corresponds to elements\n * (if indices.shape[-1] == input.rank) or slices\n * (if indices.shape[-1] < input.rank) along dimension indices.shape[-1] of\n * input.\n * The output tensor has shape\n * indices.shape[:-1] + input.shape[indices.shape[-1]:]\n *\n * Note that on CPU, if an out of bound index is found, an error is returned. On\n * GPU, if an out of bound index is found, a 0 is stored in the corresponding\n * output value.\n *\n * ```js\n * const indices = tf.tensor2d([0, 1, 1, 0], [2,2], 'int32');\n * const input = tf.tensor2d([9, 10, 11, 12], [2, 2]);\n * tf.gatherND(input, indices).print() // [10, 11]\n * ```\n *\n * @param x The tensor from which to gather values.\n * @param indices Index tensor, must be of type int32.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction gatherND_(x: Tensor|TensorLike, indices: Tensor|TensorLike): Tensor {\n  const $indices = convertToTensor(indices, 'indices', 'gatherND', 'int32');\n  const $x = convertToTensor(x, 'x', 'gatherND');\n  return ENGINE.runKernelFunc(\n      backend => backend.gatherND($x, $indices), {x: $x, indices: $indices},\n      null /* backward */, 'GatherNd');\n}\nexport const gatherND = op({gatherND_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {op} from './operation';\n\n/**\n * Returns a diagonal tensor with a given diagonal values.\n *\n * Given a diagonal, this operation returns a tensor with the diagonal and\n * everything else padded with zeros.\n *\n * Assume the input has dimensions `[D1,..., Dk]`, then the output is a tensor\n * of rank 2k with dimensions `[D1,..., Dk, D1,..., Dk]`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * tf.diag(x).print()\n * ```\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4, 5, 6, 6, 8], [4, 2])\n *\n * tf.diag(x).print()\n * ```\n * @param x The input tensor.\n */\nfunction diag_(x: Tensor): Tensor {\n  const $x = convertToTensor(x, 'x', 'diag').flatten();\n  const outShape = [...x.shape, ...x.shape];\n  return ENGINE.runKernelFunc(backend => backend.diag($x), {$x})\n      .reshape(outShape);\n}\n\nexport const diag = op({diag_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {randomUniform} from './array_ops';\nimport {getNoiseShape} from './dropout_util';\nimport {op} from './operation';\n\n/**\n * Computes dropout.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 2, 1]);\n * const rate = 0.75;\n * const output = tf.dropout(x, rate);\n * output.print();\n * ```\n *\n * @param x A floating point Tensor or TensorLike.\n * @param rate A float in the range [0, 1). The probability that each element\n *   of x is discarded.\n * @param noiseShape An array of numbers of type int32, representing the\n * shape for randomly generated keep/drop flags. If the noiseShape has null\n * value, it will be automatically replaced with the x's relative dimension\n * size. Optional.\n * @param seed Used to create random seeds. Optional.\n * @returns A Tensor of the same shape of x.\n */\n/** @doc {heading: 'Operations', subheading: 'Dropout'} */\nfunction dropout_(\n    x: Tensor|TensorLike, rate: number, noiseShape?: number[],\n    seed?: number|string): Tensor {\n  const $x = convertToTensor(x, 'x', 'dropout');\n\n  util.assert(\n      $x.dtype === 'float32',\n      () => `x has to be a floating point tensor since it's going to be ` +\n          `scaled, but got a ${$x.dtype} tensor instead.`);\n  util.assert(\n      rate >= 0 && rate < 1,\n      () => `rate must be a float in the range [0, 1), but got ${rate}.`);\n\n  if (rate === 0) {\n    return x instanceof Tensor ? $x.clone() : $x;\n  }\n\n  const $noiseShape = getNoiseShape($x, noiseShape);\n  const keepProb = 1 - rate;\n  const multiplier = randomUniform($noiseShape, 0, 1, 'float32', seed)\n                         .add(keepProb)\n                         .floor()\n                         .div(keepProb);\n\n  return $x.mul(multiplier);\n}\n\nexport const dropout = op({dropout_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport * as util from '../util';\n\n/**\n * Normalize noise shape based on provided tensor and noise shape.\n *\n * @param x Tensor.\n * @param noiseShape The shape for the randomly generated keep/drop flags, as\n *   an array of numbers. Optional.\n * @returns Normalized noise shape.\n */\nexport function getNoiseShape(x: Tensor, noiseShape?: number[]): number[] {\n  if (noiseShape == null) {\n    return x.shape.slice();\n  }\n  if (util.arraysEqual(x.shape, noiseShape)) {\n    return noiseShape;\n  }\n  if (x.shape.length === noiseShape.length) {\n    const newDimension: number[] = [];\n    for (let i = 0; i < x.shape.length; i++) {\n      if (noiseShape[i] == null && x.shape[i] != null) {\n        newDimension.push(x.shape[i]);\n      } else {\n        newDimension.push(noiseShape[i]);\n      }\n    }\n    return newDimension;\n  }\n\n  return noiseShape;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor1D} from '../tensor';\n\nimport {mul} from './binary_ops';\nimport {concat} from './concat_split';\nimport {slice} from './slice';\nimport {rfft} from './spectral_ops';\nimport {fill, tensor1d, tensor2d} from './tensor_ops';\n\n/**\n * Generate a Hann window.\n *\n * See: https://en.wikipedia.org/wiki/Window_function#Hann_and_Hamming_windows\n *\n * ```js\n * tf.signal.hannWindow(10).print();\n * ```\n * @param The length of window\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction hannWindow_(windowLength: number): Tensor1D {\n  return cosineWindow(windowLength, 0.5, 0.5);\n}\n\n/**\n * Generate a hamming window.\n *\n * See: https://en.wikipedia.org/wiki/Window_function#Hann_and_Hamming_windows\n *\n * ```js\n * tf.signal.hammingWindow(10).print();\n * ```\n * @param The length of window\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction hammingWindow_(windowLength: number): Tensor1D {\n  return cosineWindow(windowLength, 0.54, 0.46);\n}\n\n/**\n * Expands input into frames of frameLength.\n * Slides a window size with frameStep.\n *\n * ```js\n * tf.signal.frame([1, 2, 3], 2, 1).print();\n * ```\n * @param signal The input tensor to be expanded\n * @param frameLength Length of each frame\n * @param frameStep The frame hop size in samples.\n * @param padEnd Whether to pad the end of signal with padValue.\n * @param padValue An number to use where the input signal does\n *     not exist when padEnd is True.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction frame_(\n    signal: Tensor1D, frameLength: number, frameStep: number, padEnd = false,\n    padValue = 0): Tensor {\n  let start = 0;\n  const output: Tensor[] = [];\n  while (start + frameLength <= signal.size) {\n    output.push(slice(signal, start, frameLength));\n    start += frameStep;\n  }\n\n  if (padEnd) {\n    while (start < signal.size) {\n      const padLen = (start + frameLength) - signal.size;\n      const pad = concat(\n          [slice(signal, start, frameLength - padLen),\n           fill([padLen], padValue)]);\n      output.push(pad);\n      start += frameStep;\n    }\n  }\n\n  if (output.length === 0) {\n    return tensor2d([], [0, frameLength]);\n  }\n\n  return concat(output).as2D(output.length, frameLength);\n}\n\n/**\n * Computes the Short-time Fourier Transform of signals\n * See: https://en.wikipedia.org/wiki/Short-time_Fourier_transform\n *\n * ```js\n * const input = tf.tensor1d([1, 1, 1, 1, 1])\n * tf.signal.stft(input, 3, 1).print();\n * ```\n * @param signal 1-dimensional real value tensor.\n * @param frameLength The window length of samples.\n * @param frameStep The number of samples to step.\n * @param fftLength The size of the FFT to apply.\n * @param windowFn A callable that takes a window length and returns 1-d tensor.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction stft_(\n    signal: Tensor1D, frameLength: number, frameStep: number,\n    fftLength?: number,\n    windowFn: (length: number) => Tensor1D = hannWindow): Tensor {\n  if (fftLength == null) {\n    fftLength = enclosingPowerOfTwo(frameLength);\n  }\n  const framedSignal = frame(signal, frameLength, frameStep);\n  const windowedSignal = mul(framedSignal, windowFn(frameLength));\n  const output: Tensor[] = [];\n  for (let i = 0; i < framedSignal.shape[0]; i++) {\n    output.push(rfft(windowedSignal.slice([i, 0], [1, frameLength]),\n      fftLength));\n  }\n  return concat(output);\n}\n\nfunction enclosingPowerOfTwo(value: number) {\n  // Return 2**N for integer N such that 2**N >= value.\n  return Math.floor(Math.pow(2, Math.ceil(Math.log(value) / Math.log(2.0))));\n}\n\nfunction cosineWindow(windowLength: number, a: number, b: number): Tensor1D {\n  const even = 1 - windowLength % 2;\n  const newValues = new Float32Array(windowLength);\n  for (let i = 0; i < windowLength; ++i) {\n    const cosArg = (2.0 * Math.PI * i) / (windowLength + even - 1);\n    newValues[i] = a - b * Math.cos(cosArg);\n  }\n  return tensor1d(newValues, 'float32');\n}\n\nexport const hannWindow = op({hannWindow_});\nexport const hammingWindow = op({hammingWindow_});\nexport const frame = op({frame_});\nexport const stft = op({stft_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, assertShapesMatch, getTypedArrayFromDType} from '../util';\nimport {tensor} from './tensor_ops';\n\n/**\n * Returns whether the targets are in the top K predictions.\n *\n * ```js\n * const predictions = tf.tensor2d([[20, 10, 40, 30], [30, 50, -20, 10]]);\n * const targets = tf.tensor1d([2, 0]);\n * const precision = await tf.inTopKAsync(predictions, targets);\n * precision.print();\n * ```\n * @param predictions 2-D or higher `tf.Tensor` with last dimension being\n *     at least `k`.\n * @param targets 1-D or higher `tf.Tensor`.\n * @param k Optional Number of top elements to look at for computing precision,\n *     default to 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nasync function inTopKAsync_<T extends Tensor, U extends Tensor>(\n    predictions: T|TensorLike, targets: U|TensorLike, k = 1): Promise<U> {\n  const $predictions = convertToTensor(predictions, 'predictions', 'inTopK');\n  const $targets = convertToTensor(targets, 'targets', 'inTopK');\n\n  assert(\n      $predictions.rank > 1,\n      () => 'inTopK() expects the predictions to be of rank 2 or higher, ' +\n          `but got ${$predictions.rank}`);\n  assert(\n      $predictions.rank - 1 === $targets.rank,\n      () => `predictions rank should be 1 larger than ` +\n          `targets rank, but got predictions rank ` +\n          `${$predictions.rank} and targets rank ${$targets.rank}`);\n  assertShapesMatch(\n      $predictions.shape.slice(0, $predictions.shape.length - 1),\n      $targets.shape,\n      `predictions's shape should be align with the targets' shape, ` +\n          'except the last dimension.');\n  const lastDim = $predictions.shape[$predictions.shape.length - 1];\n  assert(\n      k > 0 && k <= lastDim,\n      () => `'k' passed to inTopK() must be > 0 && <= the predictions last ` +\n          `dimension (${lastDim}), but got ${k}`);\n\n  const predictionsVals = await $predictions.data();\n  const targetsVals = await $targets.data();\n\n  // Reshape predictionsVals into a 2d tensor [batch, lastDim]\n  // and look up topK along lastDim.\n  const [batch, size] = [predictionsVals.length / lastDim, lastDim];\n  const precision = getTypedArrayFromDType('bool', batch);\n\n  for (let b = 0; b < batch; b++) {\n    const offset = b * size;\n    const vals = predictionsVals.subarray(offset, offset + size);\n    const valAndInd: Array<{value: number, index: number}> = [];\n    for (let i = 0; i < vals.length; i++) {\n      valAndInd.push({value: vals[i], index: i});\n    }\n    valAndInd.sort((a, b) => b.value - a.value);\n\n    precision[b] = 0;\n    for (let i = 0; i < k; i++) {\n      if (valAndInd[i].index === targetsVals[b]) {\n        precision[b] = 1;\n        break;\n      }\n    }\n  }\n\n  if (predictions !== $predictions) {\n    $predictions.dispose();\n  }\n  if (targets !== $targets) {\n    $targets.dispose();\n  }\n\n  // Output precision has the same shape as targets.\n  return tensor(precision, $targets.shape, 'bool') as U;\n}\n\nexport const inTopKAsync = inTopKAsync_;\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {GradSaveFunc} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assertShapesMatch} from '../util';\nimport {expandShapeToKeepDim} from './axis_util';\nimport {minimum} from './binary_ops';\nimport {op} from './operation';\nimport {ones, scalar} from './tensor_ops';\n\nexport enum Reduction {\n  NONE,\n  MEAN,\n  SUM,\n  SUM_BY_NONZERO_WEIGHTS\n}\n\n/**\n * Computes the weighted loss between two tensors.\n *\n * @param losses Tensor of shape `[batch_size, d1, ... dN]`.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `losses`, and must be broadcastable to `losses` (i.e., all\n *    dimensions must be either `1`, or the same as the corresponding\n *    `losses` dimension).\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction computeWeightedLoss_<T extends Tensor, O extends Tensor>(\n    losses: T|TensorLike, weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $losses = convertToTensor(losses, 'losses', 'computeWeightedLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'computeWeightedLoss');\n  }\n\n  const weightedLoss = ($weights == null) ? $losses : $losses.mul($weights);\n\n  if (reduction === Reduction.NONE) {\n    return weightedLoss as O;\n  }\n  if (reduction === Reduction.SUM) {\n    return weightedLoss.sum();\n  }\n  if (reduction === Reduction.MEAN) {\n    if ($weights == null) {\n      return weightedLoss.mean();\n    } else {\n      const broadcastFactor = $losses.size / $weights.size;\n      const result = weightedLoss.sum().div($weights.sum());\n      return broadcastFactor > 1 ? result.div(scalar(broadcastFactor)) :\n                                   result as O;\n    }\n  }\n  if (reduction === Reduction.SUM_BY_NONZERO_WEIGHTS) {\n    if ($weights == null) {\n      return weightedLoss.sum().div(scalar($losses.size));\n    } else {\n      const broadcastedWeights = $weights.mul(ones($losses.shape));\n\n      const numNonZeros =\n          broadcastedWeights.notEqual(scalar(0)).sum().toFloat();\n      return weightedLoss.sum().div(numNonZeros);\n    }\n  }\n\n  throw Error(`Unknown reduction: ${reduction}`);\n}\n\n/**\n * Computes the absolute difference loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction absoluteDifference_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'absoluteDifference');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'absoluteDifference');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'absoluteDifference');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in absoluteDifference: ');\n\n  const losses = $labels.sub($predictions).abs();\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the mean squared error between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction meanSquaredError_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'meanSquaredError');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'meanSquaredError');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'meanSquaredError');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in meanSquaredError: ');\n\n  const losses = $labels.squaredDifference($predictions);\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the cosine distance loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param axis The dimension along which the cosine distance is computed.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction cosineDistance_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike, axis: number,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'cosineDistance');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'cosineDistance');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'cosineDistance');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in cosineDistance: ');\n\n  const one = scalar(1);\n  const losses = one.sub($labels.mul($predictions).sum(axis, true));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the Hinge loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction hingeLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $labels = convertToTensor(labels, 'labels', 'hingeLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'hingeLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'hingeLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in hingeLoss: ');\n\n  const one = scalar(1);\n  // Convert binary labels to (-1, 1)\n  $labels = scalar(2).mul($labels).sub(one);\n  const losses = one.sub($labels.mul($predictions)).relu();\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the log loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param epsilon A small increment to avoid taking log of zero\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction logLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike, epsilon = 1e-7,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'logLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'logLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'logLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in logLoss: ');\n\n  const one = scalar(1);\n  const epsilonScalar = scalar(epsilon);\n  const losses = $labels.mul($predictions.add(epsilonScalar).log())\n                     .neg()\n                     .sub(one.sub($labels).mul(\n                         one.sub($predictions).add(epsilonScalar).log()));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\nfunction sigmoidCrossEntropyWithLogits_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, logits: T|TensorLike): O {\n  const $labels =\n      convertToTensor(labels, 'labels', 'sigmoidCrossEntropyWithLogits');\n  const $logits =\n      convertToTensor(logits, 'logits', 'sigmoidCrossEntropyWithLogits');\n  assertShapesMatch(\n      $labels.shape, $logits.shape, 'Error in sigmoidCrossEntropyWithLogits: ');\n\n  /**\n   * Implementation Details:\n   *\n   * For brevity, let `x = logits`, `z = labels`.  The logistic loss is\n   *     z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))\n   *   = z * -log(1 / (1 + exp(-x))) + (1 - z) * -log(exp(-x) / (1 + exp(-x)))\n   *   = z * log(1 + exp(-x)) + (1 - z) * (-log(exp(-x)) + log(1 + exp(-x)))\n   *   = z * log(1 + exp(-x)) + (1 - z) * (x + log(1 + exp(-x))\n   *   = (1 - z) * x + log(1 + exp(-x))\n   *   = x - x * z + log(1 + exp(-x))\n   *\n   *   For x < 0, to avoid overflow in exp(-x), we reformulate the above\n   *     x - x * z + log(1 + exp(-x))\n   *   = log(exp(x)) - x * z + log(1 + exp(-x))\n   *   = - x * z + log(1 + exp(x))\n   *\n   * Hence, to ensure stability and avoid overflow, the implementation uses\n   * this equivalent formulation:\n   *     max(x, 0) - x * z + log(1 + exp(-abs(x)))\n   */\n  const maxOutput = $logits.relu();\n  const outputXTarget = $logits.mul($labels);\n  const sigmoidOutput = $logits.abs().neg().exp().log1p();\n\n  return maxOutput.sub(outputXTarget).add(sigmoidOutput);\n}\n\n/**\n * Computes the sigmoid cross entropy loss between two tensors.\n *\n * If labelSmoothing is nonzero, smooth the labels towards 1/2:\n *\n *   newMulticlassLabels = multiclassLabels * (1 - labelSmoothing)\n *                         + 0.5 * labelSmoothing\n *\n * @param multiClassLabels The ground truth output tensor of shape\n * [batch_size, num_classes], same dimensions as 'predictions'.\n * @param logits The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param labelSmoothing If greater than 0, then smooth the labels.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc { heading: 'Training', subheading: 'Losses', namespace: 'losses' } */\nfunction sigmoidCrossEntropy_<T extends Tensor, O extends Tensor>(\n    multiClassLabels: T|TensorLike, logits: T|TensorLike,\n    weights?: Tensor|TensorLike, labelSmoothing = 0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $multiClassLabels = convertToTensor(\n      multiClassLabels, 'multiClassLabels', 'sigmoidCrossEntropy');\n  const $logits = convertToTensor(logits, 'logits', 'sigmoidCrossEntropy');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'sigmoidCrossEntropy');\n  }\n  assertShapesMatch(\n      $multiClassLabels.shape, $logits.shape, 'Error in sigmoidCrossEntropy: ');\n\n  if (labelSmoothing > 0) {\n    const labelSmoothingScalar = scalar(labelSmoothing);\n    const one = scalar(1);\n    const half = scalar(0.5);\n\n    $multiClassLabels = $multiClassLabels.mul(one.sub(labelSmoothingScalar))\n                            .add(half.mul(labelSmoothingScalar));\n  }\n  const losses = sigmoidCrossEntropyWithLogits_($multiClassLabels, $logits);\n\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the huber loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param delta Point where huber loss changes from quadratic to linear.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`.\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction huberLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike, delta = 1.0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'huberLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'huberLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'huberLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in huberLoss: ');\n\n  const deltaScalar = scalar(delta);\n  const error = $predictions.sub($labels).abs();\n  const quadratic = minimum(error, deltaScalar);\n  const linear = error.sub(quadratic);\n\n  const losses =\n      scalar(0.5).mul(quadratic.square()).add(deltaScalar.mul(linear));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes softmax cross entropy between logits and labels.\n *\n * Measures the probability error in discrete classification tasks in which\n * the classes are mutually exclusive (each entry is in exactly one class).\n * For example, each CIFAR-10 image is labeled with one and only one label: an\n * image can be a dog or a truck, but not both.\n *\n * `NOTE`: While the classes are mutually exclusive, their probabilities need\n * not be. All that is required is that each row of labels is a valid\n * probability distribution. If they are not, the computation of the gradient\n * will be incorrect.\n *\n * `WARNING`: This op expects unscaled logits, since it performs a softmax on\n * logits internally for efficiency. Do not call this op with the output of\n * softmax, as it will produce incorrect results.\n *\n * logits and labels must have the same shape, e.g. [batch_size, num_classes]\n * and the same dtype.\n * @param labels The labels array.\n * @param logits The logits array.\n * @param dim The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\nfunction softmaxCrossEntropyWithLogits_<T extends Tensor, O extends Tensor>(\n    labels: T, logits: T, dim = -1): O {\n  if (dim === -1) {\n    dim = logits.rank - 1;\n  }\n\n  if (dim !== logits.rank - 1) {\n    throw Error(\n        `Softmax cross entropy along a non-last dimension is not yet ` +\n        `supported. Labels / logits was rank ${logits.rank} ` +\n        `and dim was ${dim}`);\n  }\n  // Use a custom gradient for numerical stability.\n  const customOp =\n      customGrad((labels: Tensor, logits: Tensor, save: GradSaveFunc) => {\n        // Reference:\n        //   1. http://cs231n.github.io/linear-classify/#softmax\n        //   2. https://blog.feedly.com/tricks-of-the-trade-logsumexp/\n        const keepDims = true;\n        const lse = logits.logSumExp([dim], keepDims);\n        const logResult = logits.toFloat().sub(lse);\n        save([labels, logResult]);\n\n        const costVector = logResult.mul(labels).neg();\n        const value: O = costVector.sum([dim]);\n\n        const gradFunc = (dy: O, saved: Tensor[]) => {\n          const [labels, logResult] = saved;\n          const dyShape = expandShapeToKeepDim(dy.shape, [dim]);\n          return [\n            dy.reshape(dyShape).mul(labels.toFloat().sub(logResult.exp())),\n            dy.reshape(dyShape).mul(logResult.exp().sub(labels.toFloat())),\n          ];\n        };\n        return {value, gradFunc};\n      });\n\n  return customOp(labels, logits);\n}\n\n/**\n * Computes the softmax cross entropy loss between two tensors.\n *\n * If labelSmoothing is nonzero, smooth the labels towards 1/2:\n *\n *   newOnehotLabels = onehotLabels * (1 - labelSmoothing)\n *                         + labelSmoothing / numClasses\n *\n * @param onehotLabels One hot encoded labels\n *    [batch_size, num_classes], same dimensions as 'predictions'.\n * @param logits The predicted outputs.\n * @param weights Tensor whose rank is either 0, or 1, and must be\n *    broadcastable to `loss`  of shape [batch_size]\n * @param labelSmoothing If greater than 0, then smooth the labels.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc { heading: 'Training', subheading: 'Losses', namespace: 'losses' } */\nfunction softmaxCrossEntropy_<T extends Tensor, O extends Tensor>(\n    onehotLabels: T|TensorLike, logits: T|TensorLike,\n    weights?: Tensor|TensorLike, labelSmoothing = 0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $onehotLabels =\n      convertToTensor(onehotLabels, 'onehotLabels', 'softmaxCrossEntropy');\n  const $logits = convertToTensor(logits, 'logits', 'softmaxCrossEntropy');\n  let $weights: Tensor = null;\n\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'softmaxCrossEntropy');\n  }\n\n  assertShapesMatch(\n      $onehotLabels.shape, $logits.shape, 'Error in softmaxCrossEntropy: ');\n\n  if (labelSmoothing > 0) {\n    const labelSmoothingScalar = scalar(labelSmoothing);\n    const one = scalar(1);\n    const numClasses = scalar($onehotLabels.shape[1]);\n\n    $onehotLabels = $onehotLabels.mul(one.sub(labelSmoothingScalar))\n                        .add(labelSmoothingScalar.div(numClasses));\n  }\n\n  const losses = softmaxCrossEntropyWithLogits_($onehotLabels, $logits);\n\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\nexport const absoluteDifference = op({absoluteDifference_});\nexport const computeWeightedLoss = op({computeWeightedLoss_});\nexport const cosineDistance = op({cosineDistance_});\nexport const hingeLoss = op({hingeLoss_});\nexport const huberLoss = op({huberLoss_});\nexport const logLoss = op({logLoss_});\nexport const meanSquaredError = op({meanSquaredError_});\nexport const sigmoidCrossEntropy = op({sigmoidCrossEntropy_});\nexport const softmaxCrossEntropy = op({softmaxCrossEntropy_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Linear algebra ops.\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose} from '../globals';\nimport {Tensor, Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {eye, squeeze, stack, unstack} from './array_ops';\nimport {sub} from './binary_ops';\nimport {split} from './concat_split';\nimport {logicalAnd, where} from './logical_ops';\nimport {norm} from './norm';\nimport {op} from './operation';\nimport {sum} from './reduction_ops';\nimport {range, scalar, tensor2d, zeros} from './tensor_ops';\n\n/**\n * Copy a tensor setting everything outside a central band in each innermost\n * matrix to zero.\n *\n * The band part is computed as follows: Assume input has `k` dimensions\n * `[I, J, K, ..., M, N]`, then the output is a tensor with the same shape where\n * `band[i, j, k, ..., m, n] = in_band(m, n) * input[i, j, k, ..., m, n]`.\n * The indicator function\n * `in_band(m, n) = (num_lower < 0 || (m-n) <= num_lower))`\n * `&& (num_upper < 0 || (n-m) <= num_upper)`\n *\n * ```js\n * const x = tf.tensor2d([[ 0,  1,  2, 3],\n *                        [-1,  0,  1, 2],\n *                        [-2, -1,  0, 1],\n *                        [-3, -2, -1, 0]]);\n * let y = tf.linalg.bandPart(x, 1, -1);\n * y.print(); // [[ 0,  1,  2, 3],\n *            //  [-1,  0,  1, 2],\n *            //  [ 0, -1,  0, 1],\n *            //  [ 0, 0 , -1, 0]]\n * let z = tf.linalg.bandPart(x, 2, 1);\n * z.print(); // [[ 0,  1,  0, 0],\n *            //  [-1,  0,  1, 0],\n *            //  [-2, -1,  0, 1],\n *            //  [ 0, -2, -1, 0]]\n * ```\n *\n * @param x Rank `k` tensor\n * @param numLower Number of subdiagonals to keep.\n *   If negative, keep entire lower triangle.\n * @param numUpper Number of subdiagonals to keep.\n *   If negative, keep entire upper triangle.\n * @returns Rank `k` tensor of the same shape as input.\n *   The extracted banded tensor.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction bandPart_<T extends Tensor>(\n  a: T|TensorLike, numLower: number, numUpper: number\n): T\n{\n  if( numLower%1 !== 0 ){\n    throw new Error(\n      `bandPart(): numLower must be an integer, got ${numLower}.`\n    );\n  }\n  if( numUpper%1 !== 0 ){\n    throw new Error(\n      `bandPart(): numUpper must be an integer, got ${numUpper}.`\n    );\n  }\n\n  const $a = convertToTensor(a,'a','bandPart');\n\n  if( $a.rank < 2 ) {\n    throw new Error(`bandPart(): Rank must be at least 2, got ${$a.rank}.`);\n  }\n\n  const shape = $a.shape,\n        [M,N] = $a.shape.slice(-2);\n\n  if( !(numLower <= M) ) {\n    throw new Error(\n      `bandPart(): numLower (${numLower})` +\n      ` must not be greater than the number of rows (${M}).`\n    );\n  }\n  if( !(numUpper <= N) ) {\n    throw new Error(\n      `bandPart(): numUpper (${numUpper})` +\n      ` must not be greater than the number of columns (${N}).`\n    );\n  }\n\n  if( numLower < 0 ) { numLower = M; }\n  if( numUpper < 0 ) { numUpper = N; }\n\n  const i = range(0,M, 1, 'int32').reshape([-1,1]),\n        j = range(0,N, 1, 'int32'),\n       ij = sub(i,j);\n\n  const inBand = logicalAnd(\n    ij.   lessEqual( scalar(+numLower,'int32') ),\n    ij.greaterEqual( scalar(-numUpper,'int32') )\n  );\n\n  const zero = zeros([M,N], $a.dtype);\n\n  return stack(\n    unstack( $a.reshape([-1,M,N]) ).map(\n      mat => where(inBand, mat, zero)\n    )\n  ).reshape(shape) as T;\n}\n\n/**\n * Gram-Schmidt orthogonalization.\n *\n * ```js\n * const x = tf.tensor2d([[1, 2], [3, 4]]);\n * let y = tf.linalg.gramSchmidt(x);\n * y.print();\n * console.log('Othogonalized:');\n * y.dot(y.transpose()).print();  // should be nearly the identity matrix.\n * console.log('First row direction maintained:');\n * const data = await y.array();\n * console.log(data[0][1] / data[0][0]);  // should be nearly 2.\n * ```\n *\n * @param xs The vectors to be orthogonalized, in one of the two following\n *   formats:\n *   - An Array of `tf.Tensor1D`.\n *   - A `tf.Tensor2D`, i.e., a matrix, in which case the vectors are the rows\n *     of `xs`.\n *   In each case, all the vectors must have the same length and the length\n *   must be greater than or equal to the number of vectors.\n * @returns The orthogonalized and normalized vectors or matrix.\n *   Orthogonalization means that the vectors or the rows of the matrix\n *   are orthogonal (zero inner products). Normalization means that each\n *   vector or each row of the matrix has an L2 norm that equals `1`.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction gramSchmidt_(xs: Tensor1D[]|Tensor2D): Tensor1D[]|Tensor2D {\n  let inputIsTensor2D: boolean;\n  if (Array.isArray(xs)) {\n    inputIsTensor2D = false;\n    assert(\n        xs != null && xs.length > 0,\n        () => 'Gram-Schmidt process: input must not be null, undefined, or ' +\n            'empty');\n    const dim = xs[0].shape[0];\n    for (let i = 1; i < xs.length; ++i) {\n      assert(\n          xs[i].shape[0] === dim,\n          () =>\n              'Gram-Schmidt: Non-unique lengths found in the input vectors: ' +\n              `(${(xs as Tensor1D[])[i].shape[0]} vs. ${dim})`);\n    }\n  } else {\n    inputIsTensor2D = true;\n    xs = split(xs, xs.shape[0], 0).map(x => squeeze(x, [0]));\n  }\n\n  assert(\n      xs.length <= xs[0].shape[0],\n      () => `Gram-Schmidt: Number of vectors (${\n                (xs as Tensor1D[]).length}) exceeds ` +\n          `number of dimensions (${(xs as Tensor1D[])[0].shape[0]}).`);\n\n  const ys: Tensor1D[] = [];\n  const xs1d = xs;\n  for (let i = 0; i < xs.length; ++i) {\n    ys.push(ENGINE.tidy(() => {\n      let x = xs1d[i];\n      if (i > 0) {\n        for (let j = 0; j < i; ++j) {\n          const proj = sum(ys[j].mulStrict(x)).mul(ys[j]);\n          x = x.sub(proj);\n        }\n      }\n      return x.div(norm(x, 'euclidean'));\n    }));\n  }\n\n  if (inputIsTensor2D) {\n    return stack(ys, 0) as Tensor2D;\n  } else {\n    return ys;\n  }\n}\n\n/**\n * Compute QR decomposition of m-by-n matrix using Householder transformation.\n *\n * Implementation based on\n *   [http://www.cs.cornell.edu/~bindel/class/cs6210-f09/lec18.pdf]\n * (http://www.cs.cornell.edu/~bindel/class/cs6210-f09/lec18.pdf)\n *\n * ```js\n * const a = tf.tensor2d([[1, 2], [3, 4]]);\n * let [q, r] = tf.linalg.qr(a);\n * console.log('Q');\n * q.print();\n * console.log('R');\n * r.print();\n * console.log('Orthogonalized');\n * q.dot(q.transpose()).print()  // should be nearly the identity matrix.\n * console.log('Reconstructed');\n * q.dot(r).print(); // should be nearly [[1, 2], [3, 4]];\n * ```\n *\n * @param x The `tf.Tensor` to be QR-decomposed. Must have rank >= 2. Suppose\n *   it has the shape `[..., M, N]`.\n * @param fullMatrices An optional boolean parameter. Defaults to `false`.\n *   If `true`, compute full-sized `Q`. If `false` (the default),\n *   compute only the leading N columns of `Q` and `R`.\n * @returns An `Array` of two `tf.Tensor`s: `[Q, R]`. `Q` is a unitary matrix,\n *   i.e., its columns all have unit norm and are mutually orthogonal.\n *   If `M >= N`,\n *     If `fullMatrices` is `false` (default),\n *       - `Q` has a shape of `[..., M, N]`,\n *       - `R` has a shape of `[..., N, N]`.\n *     If `fullMatrices` is `true` (default),\n *       - `Q` has a shape of `[..., M, M]`,\n *       - `R` has a shape of `[..., M, N]`.\n *   If `M < N`,\n *     - `Q` has a shape of `[..., M, M]`,\n *     - `R` has a shape of `[..., M, N]`.\n * @throws If the rank of `x` is less than 2.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction qr_(x: Tensor, fullMatrices = false): [Tensor, Tensor] {\n  if (x.rank < 2) {\n    throw new Error(\n        `qr() requires input tensor to have a rank >= 2, but got rank ${\n            x.rank}`);\n  } else if (x.rank === 2) {\n    return qr2d(x as Tensor2D, fullMatrices);\n  } else {\n    // Rank > 2.\n    // TODO(cais): Below we split the input into individual 2D tensors,\n    //   perform QR decomposition on them and then stack the results back\n    //   together. We should explore whether this can be parallelized.\n    const outerDimsProd = x.shape.slice(0, x.shape.length - 2)\n                              .reduce((value, prev) => value * prev);\n    const x2ds = unstack(\n        x.reshape([\n          outerDimsProd, x.shape[x.shape.length - 2],\n          x.shape[x.shape.length - 1]\n        ]),\n        0);\n    const q2ds: Tensor2D[] = [];\n    const r2ds: Tensor2D[] = [];\n    x2ds.forEach(x2d => {\n      const [q2d, r2d] = qr2d(x2d as Tensor2D, fullMatrices);\n      q2ds.push(q2d);\n      r2ds.push(r2d);\n    });\n    const q = stack(q2ds, 0).reshape(x.shape);\n    const r = stack(r2ds, 0).reshape(x.shape);\n    return [q, r];\n  }\n}\n\nfunction qr2d(x: Tensor2D, fullMatrices = false): [Tensor2D, Tensor2D] {\n  return ENGINE.tidy(() => {\n    if (x.shape.length !== 2) {\n      throw new Error(\n          `qr2d() requires a 2D Tensor, but got a ${x.shape.length}D Tensor.`);\n    }\n\n    const m = x.shape[0];\n    const n = x.shape[1];\n\n    let q = eye(m);     // Orthogonal transform so far.\n    let r = x.clone();  // Transformed matrix so far.\n\n    const one2D = tensor2d([[1]], [1, 1]);\n    let w: Tensor2D = one2D.clone();\n\n    const iters = m >= n ? n : m;\n    for (let j = 0; j < iters; ++j) {\n      // This tidy within the for-loop ensures we clean up temporary\n      // tensors as soon as they are no longer needed.\n      const rTemp = r;\n      const wTemp = w;\n      const qTemp = q;\n      [w, r, q] = ENGINE.tidy((): [Tensor2D, Tensor2D, Tensor2D] => {\n        // Find H = I - tau * w * w', to put zeros below R(j, j).\n        const rjEnd1 = r.slice([j, j], [m - j, 1]);\n        const normX = rjEnd1.norm();\n        const rjj = r.slice([j, j], [1, 1]);\n\n        // The sign() function returns 0 on 0, which causes division by zero.\n        const s = tensor2d([[-1]]).where(rjj.greater(0), tensor2d([[1]]));\n\n        const u1 = rjj.sub(s.mul(normX));\n        const wPre = rjEnd1.div(u1);\n        if (wPre.shape[0] === 1) {\n          w = one2D.clone();\n        } else {\n          w = one2D.concat(\n              wPre.slice([1, 0], [wPre.shape[0] - 1, wPre.shape[1]]) as\n                  Tensor2D,\n              0);\n        }\n        const tau = s.matMul(u1).div(normX).neg() as Tensor2D;\n\n        // -- R := HR, Q := QH.\n        const rjEndAll = r.slice([j, 0], [m - j, n]);\n        const tauTimesW: Tensor2D = tau.mul(w);\n        if (j === 0) {\n          r = rjEndAll.sub(tauTimesW.matMul(w.transpose().matMul(rjEndAll)));\n        } else {\n          const rTimesTau: Tensor2D =\n              rjEndAll.sub(tauTimesW.matMul(w.transpose().matMul(rjEndAll)));\n          r = r.slice([0, 0], [j, n]).concat(rTimesTau, 0);\n        }\n        const qAllJEnd = q.slice([0, j], [m, q.shape[1] - j]);\n        if (j === 0) {\n          q = qAllJEnd.sub(qAllJEnd.matMul(w).matMul(tauTimesW.transpose()));\n        } else {\n          const qTimesTau: Tensor2D =\n              qAllJEnd.sub(qAllJEnd.matMul(w).matMul(tauTimesW.transpose()));\n          q = q.slice([0, 0], [m, j]).concat(qTimesTau, 1);\n        }\n        return [w, r, q];\n      });\n      dispose([rTemp, wTemp, qTemp]);\n    }\n\n    if (!fullMatrices && m > n) {\n      q = q.slice([0, 0], [m, n]);\n      r = r.slice([0, 0], [n, n]);\n    }\n\n    return [q, r];\n  }) as [Tensor2D, Tensor2D];\n}\n\nexport const bandPart = op({bandPart_});\nexport const gramSchmidt = op({gramSchmidt_});\nexport const qr = op({qr_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {nonMaxSuppressionV3, nonMaxSuppressionV5} from '../backends/non_max_suppression_impl';\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Bilinear resize a batch of 3D images to a new shape.\n *\n * @param images The images, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param size The new shape `[newHeight, newWidth]` to resize the\n *     images to. Each channel is resized individually.\n * @param alignCorners Defaults to False. If true, rescale\n *     input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4\n *     corners of images and resized images. If false, rescale by\n *     `new_height / height`. Treat similarly the width dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction resizeBilinear_<T extends Tensor3D|Tensor4D>(\n    images: T|TensorLike, size: [number, number], alignCorners = false): T {\n  const $images = convertToTensor(images, 'images', 'resizeBilinear');\n  util.assert(\n      $images.rank === 3 || $images.rank === 4,\n      () => `Error in resizeBilinear: x must be rank 3 or 4, but got ` +\n          `rank ${$images.rank}.`);\n  util.assert(\n      size.length === 2,\n      () => `Error in resizeBilinear: new shape must 2D, but got shape ` +\n          `${size}.`);\n\n  let batchImages = $images as Tensor4D;\n  let reshapedTo4D = false;\n  if ($images.rank === 3) {\n    reshapedTo4D = true;\n    batchImages =\n        $images.as4D(1, $images.shape[0], $images.shape[1], $images.shape[2]);\n  }\n\n  const [newHeight, newWidth] = size;\n  const forward: ForwardFunc<Tensor4D> = (backend, save) => {\n    save([batchImages]);\n    return backend.resizeBilinear(\n        batchImages, newHeight, newWidth, alignCorners);\n  };\n\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    return {\n      x: () => ENGINE.runKernelFunc(\n          backend => backend.resizeBilinearBackprop(\n              dy, saved[0] as Tensor4D, alignCorners),\n          {})\n    };\n  };\n\n  const res = ENGINE.runKernelFunc(\n      forward, {x: batchImages}, backward, 'ResizeBilinear',\n      {alignCorners, newHeight, newWidth});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * NearestNeighbor resize a batch of 3D images to a new shape.\n *\n * @param images The images, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param size The new shape `[newHeight, newWidth]` to resize the\n *     images to. Each channel is resized individually.\n * @param alignCorners Defaults to False. If true, rescale\n *     input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4\n *     corners of images and resized images. If false, rescale by\n *     `new_height / height`. Treat similarly the width dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction resizeNearestNeighbor_<T extends Tensor3D|Tensor4D>(\n    images: T|TensorLike, size: [number, number], alignCorners = false): T {\n  const $images = convertToTensor(images, 'images', 'resizeNearestNeighbor');\n  util.assert(\n      $images.rank === 3 || $images.rank === 4,\n      () => `Error in resizeNearestNeighbor: x must be rank 3 or 4, but got ` +\n          `rank ${$images.rank}.`);\n  util.assert(\n      size.length === 2,\n      () =>\n          `Error in resizeNearestNeighbor: new shape must 2D, but got shape ` +\n          `${size}.`);\n  util.assert(\n      $images.dtype === 'float32' || $images.dtype === 'int32',\n      () => '`images` must have `int32` or `float32` as dtype');\n\n  let batchImages = $images as Tensor4D;\n  let reshapedTo4D = false;\n  if ($images.rank === 3) {\n    reshapedTo4D = true;\n    batchImages =\n        $images.as4D(1, $images.shape[0], $images.shape[1], $images.shape[2]);\n  }\n  const [newHeight, newWidth] = size;\n\n  const forward: ForwardFunc<Tensor4D> = (backend, save) => {\n    save([batchImages]);\n    return backend.resizeNearestNeighbor(\n        batchImages, newHeight, newWidth, alignCorners);\n  };\n\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    return {\n      batchImages: () => ENGINE.runKernelFunc(\n          backend => backend.resizeNearestNeighborBackprop(\n              dy, saved[0] as Tensor4D, alignCorners),\n          {})\n    };\n  };\n\n  const res = ENGINE.runKernelFunc(forward, {batchImages}, backward);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Performs non maximum suppression of bounding boxes based on\n * iou (intersection over union).\n *\n * @param boxes a 2d tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the corners of\n *     the bounding box.\n * @param scores a 1d tensor providing the box scores of shape `[numBoxes]`.\n * @param maxOutputSize The maximum number of boxes to be selected.\n * @param iouThreshold A float representing the threshold for deciding whether\n *     boxes overlap too much with respect to IOU. Must be between [0, 1].\n *     Defaults to 0.5 (50% box overlap).\n * @param scoreThreshold A threshold for deciding when to remove boxes based\n *     on score. Defaults to -inf, which means any score is accepted.\n * @return A 1D tensor with the selected box indices.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction nonMaxSuppression_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY): Tensor1D {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppression');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppression');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n\n  const attrs = {maxOutputSize, iouThreshold, scoreThreshold};\n  return ENGINE.runKernelFunc(\n      b => b.nonMaxSuppression(\n          $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold),\n      {boxes: $boxes, scores: $scores}, null /* grad */, 'NonMaxSuppressionV3',\n      attrs);\n}\n\n/** This is the async version of `nonMaxSuppression` */\nasync function nonMaxSuppressionAsync_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY): Promise<Tensor1D> {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppressionAsync');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppressionAsync');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n\n  const boxesAndScores = await Promise.all([$boxes.data(), $scores.data()]);\n  const boxesVals = boxesAndScores[0];\n  const scoresVals = boxesAndScores[1];\n\n  const res = nonMaxSuppressionV3(\n      boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  if ($boxes !== boxes) {\n    $boxes.dispose();\n  }\n  if ($scores !== scores) {\n    $scores.dispose();\n  }\n  return res;\n}\n\n/**\n * Performs non maximum suppression of bounding boxes based on\n * iou (intersection over union).\n *\n * This op also supports a Soft-NMS mode (c.f.\n * Bodla et al, https://arxiv.org/abs/1704.04503) where boxes reduce the score\n * of other overlapping boxes, therefore favoring different regions of the image\n * with high scores. To enable this Soft-NMS mode, set the `softNmsSigma`\n * parameter to be larger than 0.\n *\n * @param boxes a 2d tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the corners of\n *     the bounding box.\n * @param scores a 1d tensor providing the box scores of shape `[numBoxes]`.\n * @param maxOutputSize The maximum number of boxes to be selected.\n * @param iouThreshold A float representing the threshold for deciding whether\n *     boxes overlap too much with respect to IOU. Must be between [0, 1].\n *     Defaults to 0.5 (50% box overlap).\n * @param scoreThreshold A threshold for deciding when to remove boxes based\n *     on score. Defaults to -inf, which means any score is accepted.\n * @param softNmsSigma A float representing the sigma parameter for Soft NMS.\n *     When sigma is 0, it falls back to nonMaxSuppression.\n * @return A map with the following properties:\n *     - selectedIndices: A 1D tensor with the selected box indices.\n *     - selectedScores: A 1D tensor with the corresponding scores for each\n *       selected box.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction nonMaxSuppressionWithScore_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY,\n    softNmsSigma = 0.0): NamedTensorMap {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppression');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppression');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n  softNmsSigma = inputs.softNmsSigma;\n\n  const attrs = {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma};\n\n  const result = ENGINE.runKernel(\n                     'NonMaxSuppressionV5', {boxes: $boxes, scores: $scores},\n                     attrs) as Tensor[];\n\n  return {selectedIndices: result[0], selectedScores: result[1]};\n}\n\n/** This is the async version of `nonMaxSuppressionWithScore` */\nasync function nonMaxSuppressionWithScoreAsync_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY,\n    softNmsSigma = 0.0): Promise<NamedTensorMap> {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppressionAsync');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppressionAsync');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n  softNmsSigma = inputs.softNmsSigma;\n\n  const boxesAndScores = await Promise.all([$boxes.data(), $scores.data()]);\n  const boxesVals = boxesAndScores[0];\n  const scoresVals = boxesAndScores[1];\n\n  const res = nonMaxSuppressionV5(\n      boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n\n  if ($boxes !== boxes) {\n    $boxes.dispose();\n  }\n  if ($scores !== scores) {\n    $scores.dispose();\n  }\n  return res;\n}\n\nfunction nonMaxSuppSanityCheck(\n    boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number, softNmsSigma?: number): {\n  maxOutputSize: number,\n  iouThreshold: number,\n  scoreThreshold: number,\n  softNmsSigma: number\n} {\n  if (iouThreshold == null) {\n    iouThreshold = 0.5;\n  }\n  if (scoreThreshold == null) {\n    scoreThreshold = Number.NEGATIVE_INFINITY;\n  }\n  if (softNmsSigma == null) {\n    softNmsSigma = 0.0;\n  }\n\n  const numBoxes = boxes.shape[0];\n  maxOutputSize = Math.min(maxOutputSize, numBoxes);\n\n  util.assert(\n      0 <= iouThreshold && iouThreshold <= 1,\n      () => `iouThreshold must be in [0, 1], but was '${iouThreshold}'`);\n  util.assert(\n      boxes.rank === 2,\n      () => `boxes must be a 2D tensor, but was of rank '${boxes.rank}'`);\n  util.assert(\n      boxes.shape[1] === 4,\n      () =>\n          `boxes must have 4 columns, but 2nd dimension was ${boxes.shape[1]}`);\n  util.assert(scores.rank === 1, () => 'scores must be a 1D tensor');\n  util.assert(\n      scores.shape[0] === numBoxes,\n      () => `scores has incompatible shape with boxes. Expected ${numBoxes}, ` +\n          `but was ${scores.shape[0]}`);\n  util.assert(\n      0 <= softNmsSigma && softNmsSigma <= 1,\n      () => `softNmsSigma must be in [0, 1], but was '${softNmsSigma}'`);\n  return {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma};\n}\n\n/**\n * Extracts crops from the input image tensor and resizes them using bilinear\n * sampling or nearest neighbor sampling (possibly with aspect ratio change)\n * to a common output size specified by crop_size.\n *\n * @param image 4d tensor of shape `[batch,imageHeight,imageWidth, depth]`,\n *     where imageHeight and imageWidth must be positive, specifying the\n *     batch of images from which to take crops\n * @param boxes 2d float32 tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the normalized\n *     coordinates of the box in the boxInd[i]'th image in the batch\n * @param boxInd 1d int32 tensor of shape `[numBoxes]` with values in range\n *     `[0, batch)` that specifies the image that the `i`-th box refers to.\n * @param cropSize 1d int32 tensor of 2 elements `[cropHeigh, cropWidth]`\n *     specifying the size to which all crops are resized to.\n * @param method Optional string from `'bilinear' | 'nearest'`,\n *     defaults to bilinear, which specifies the sampling method for resizing\n * @param extrapolationValue A threshold for deciding when to remove boxes based\n *     on score. Defaults to 0.\n * @return A 4D tensor of the shape `[numBoxes,cropHeight,cropWidth,depth]`\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction cropAndResize_(\n    image: Tensor4D|TensorLike,\n    boxes: Tensor2D|TensorLike,\n    boxInd: Tensor1D|TensorLike,\n    cropSize: [number, number],\n    method?: 'bilinear'|'nearest',\n    extrapolationValue?: number,\n    ): Tensor4D {\n  const $image = convertToTensor(image, 'image', 'cropAndResize');\n  const $boxes = convertToTensor(boxes, 'boxes', 'cropAndResize', 'float32');\n  const $boxInd = convertToTensor(boxInd, 'boxInd', 'cropAndResize', 'int32');\n  method = method || 'bilinear';\n  extrapolationValue = extrapolationValue || 0;\n\n  const numBoxes = $boxes.shape[0];\n\n  util.assert(\n      $image.rank === 4,\n      () => 'Error in cropAndResize: image must be rank 4,' +\n          `but got rank ${$image.rank}.`);\n  util.assert(\n      $boxes.rank === 2 && $boxes.shape[1] === 4,\n      () => `Error in cropAndResize: boxes must be have size [${numBoxes},4] ` +\n          `but had shape ${$boxes.shape}.`);\n  util.assert(\n      $boxInd.rank === 1 && $boxInd.shape[0] === numBoxes,\n      () => `Error in cropAndResize: boxInd must be have size [${numBoxes}] ` +\n          `but had shape ${$boxes.shape}.`);\n  util.assert(\n      cropSize.length === 2,\n      () => `Error in cropAndResize: cropSize must be of length 2, but got ` +\n          `length ${cropSize.length}.`);\n  util.assert(\n      cropSize[0] >= 1 && cropSize[1] >= 1,\n      () => `cropSize must be atleast [1,1], but was ${cropSize}`);\n  util.assert(\n      method === 'bilinear' || method === 'nearest',\n      () => `method must be bilinear or nearest, but was ${method}`);\n\n  const forward: ForwardFunc<Tensor4D> = (backend, save) =>\n      backend.cropAndResize(\n          $image, $boxes, $boxInd, cropSize, method, extrapolationValue);\n\n  const res = ENGINE.runKernelFunc(\n      forward, {images: $image, boxes: $boxes, boxInd: $boxInd}, null /* der */,\n      'CropAndResize', {method, extrapolationValue, cropSize});\n  return res;\n}\n\nexport const resizeBilinear = op({resizeBilinear_});\nexport const resizeNearestNeighbor = op({resizeNearestNeighbor_});\nexport const nonMaxSuppression = op({nonMaxSuppression_});\nexport const nonMaxSuppressionAsync = nonMaxSuppressionAsync_;\nexport const nonMaxSuppressionWithScore = op({nonMaxSuppressionWithScore_});\nexport const nonMaxSuppressionWithScoreAsync = nonMaxSuppressionWithScoreAsync_;\nexport const cropAndResize = op({cropAndResize_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\n\nimport {Conv2DInfo} from './conv_util';\n\nexport type Activation = 'linear'|'relu'|'prelu'|'elu'|'relu6';\n\nexport type FusedBatchMatMulConfig = {\n  a: Tensor3D,\n  b: Tensor3D,\n  transposeA: boolean,\n  transposeB: boolean,\n  bias?: Tensor,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n};\n\nexport type FusedConv2DConfig = {\n  input: Tensor4D,\n  filter: Tensor4D,\n  convInfo: Conv2DInfo,\n  bias?: Tensor,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n};\n\n// Whether we should call fused ops.\nexport const shouldFuse = (gradientDepth: number, activation: Activation) => {\n  const gradientMode = gradientDepth > 0;\n  return !gradientMode || activation === 'linear';\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {conv2dDerFilter, conv2dDerInput, depthwiseConv2dDerFilter, depthwiseConv2dDerInput} from '../ops/conv';\nimport * as conv_util from '../ops/conv_util';\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {add} from './binary_ops';\nimport * as broadcast_util from './broadcast_util';\nimport {conv2d as unfusedConv2d, depthwiseConv2d as unfusedDepthwiseConv2d} from './conv';\nimport {Activation, shouldFuse} from './fused_util';\nimport {matMul as unfusedMatMul} from './matmul';\n\nimport {elu, prelu, relu, relu6} from './relu_ops';\n\n// Returns gradient for fused activation.\nconst getFusedDyActivation =\n    (dy: Tensor, y: Tensor, activation: Activation): Tensor => {\n      if (activation == null || activation === 'linear') {\n        return dy;\n      }\n      if (activation === 'relu') {\n        return dy.mul(y.step());\n      }\n      throw new Error(\n          `Gradient for activation ${activation} has not been ` +\n          `implemented yet.`);\n    };\n\n// Returns gradient for fused bias.\nconst getFusedBiasGradient = (bias: Tensor, dyActivation: Tensor): Tensor => {\n  let res = dyActivation;\n  const reduceAxes =\n      broadcast_util.getReductionAxes(bias.shape, dyActivation.shape);\n  if (reduceAxes.length > 0) {\n    res = res.sum(reduceAxes);\n  }\n  return res.reshape(bias.shape);\n};\n\nconst applyActivation =\n    (x: Tensor, activation: Activation, preluActivationWeights?: Tensor):\n        Tensor => {\n          if (activation === 'linear') {\n            return x;\n          } else if (activation === 'relu') {\n            return relu(x);\n          } else if (activation === 'elu') {\n            return elu(x);\n          } else if (activation === 'relu6') {\n            return relu6(x);\n          } else if (activation === 'prelu') {\n            return prelu(x, preluActivationWeights);\n          }\n          throw new Error(`Unknown fused activation ${activation}.`);\n        };\n\n/**\n * Computes the dot product of two matrices with optional activation and bias.\n *\n * ```js\n * const a = tf.tensor2d([-1, -2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const bias = tf.tensor2d([1, 2], [1, 2]);\n *\n * tf.fused.matMul({a, b, bias, activation: 'relu'}).print();\n * ```\n *\n * @param obj An object with the following properties:\n * - `a` First matrix in dot product operation.\n * - `b` Second matrix in dot product operation.\n * - `transposeA` If true, `a` is transposed before multiplication.\n * - `transposeB` If true, `b` is transposed before multiplication.\n * - `bias` Matrix to be added to the result.\n * - `activation` Name of activation kernel (defaults to `linear`).\n * - `preluActivationWeights` Tensor of prelu weights.\n */\nfunction fusedMatMul_<T extends Tensor>({\n  a,\n  b,\n  transposeA = false,\n  transposeB = false,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  a: T|TensorLike,\n  b: T|TensorLike,\n  transposeA?: boolean,\n  transposeB?: boolean,\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedMatMul(a, b, transposeA, transposeB);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  let $a = convertToTensor(a, 'a', 'fused matMul');\n  let $b = convertToTensor(b, 'b', 'fused matMul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const innerShapeA =\n      transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];\n  const innerShapeB =\n      transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];\n\n  const outerShapeA =\n      transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];\n  const outerShapeB =\n      transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];\n\n  const outerDimsA = $a.shape.slice(0, -2);\n  const outerDimsB = $b.shape.slice(0, -2);\n  const batchDimA = util.sizeFromShape(outerDimsA);\n  const batchDimB = util.sizeFromShape(outerDimsB);\n\n  util.assert(\n      $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,\n      () =>\n          `Error in fused matMul: inputs must have the same rank of at least ` +\n          `2, got ranks ${$a.rank} and ${$b.rank}.`);\n\n  util.assert(\n      util.arraysEqual(outerDimsA, outerDimsB),\n      () => `Error in fused matMul: outer dimensions (${outerDimsA}) and (` +\n          `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} must match.`);\n\n  util.assert(\n      innerShapeA === innerShapeB,\n      () => `Error in fused matMul: inner shapes (${innerShapeA}) and (` +\n          `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} and transposeA=${transposeA}` +\n          ` and transposeB=${transposeB} must match.`);\n\n  const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);\n\n  const a3D = transposeA ? $a.as3D(batchDimA, innerShapeA, outerShapeA) :\n                           $a.as3D(batchDimA, outerShapeA, innerShapeA);\n  const b3D = transposeB ? $b.as3D(batchDimB, outerShapeB, innerShapeB) :\n                           $b.as3D(batchDimB, innerShapeB, outerShapeB);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused matMul');\n    [$bias] = makeTypesMatch($bias, $a);\n\n    broadcast_util.assertAndGetBroadcastShape(outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused matMul');\n  }\n\n  const grad = (dy: Tensor3D, saved: Tensor[]) => {\n    const [a3D, b3D, y] = saved;\n    const dyActivation = getFusedDyActivation(dy, y, activation);\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {$bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    if (!transposeA && !transposeB) {\n      return Object.assign(\n          {\n            $a: () => dyActivation.matMul(b3D as Tensor3D, false, true),\n            $b: () => a3D.matMul(dyActivation, true, false)\n          },\n          biasGradient);\n    } else if (!transposeA && transposeB) {\n      return Object.assign(\n          {\n            $a: () => dyActivation.matMul(b3D as Tensor3D, false, false),\n            $b: () => dyActivation.matMul(a3D as Tensor3D, true, false)\n          },\n          biasGradient);\n    } else if (transposeA && !transposeB) {\n      return Object.assign(\n          {\n            $a: () => b3D.matMul(dyActivation, false, true),\n            $b: () => a3D.matMul(dyActivation, false, false)\n          },\n          biasGradient);\n    } else {\n      return Object.assign(\n          {\n            $a: () => b3D.matMul(dyActivation, true, true),\n            $b: () => dyActivation.matMul(a3D as Tensor3D, true, true)\n          },\n          biasGradient);\n    }\n  };\n\n  const inputs: {\n    $a: Tensor,\n    $b: Tensor,\n    $bias?: Tensor,\n    $preluActivationWeights?: Tensor\n  } = {$a: a3D, $b: b3D};\n  if (bias != null) {\n    inputs.$bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.$preluActivationWeights = $preluActivationWeights;\n  }\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.fusedBatchMatMul({\n      a: a3D,\n      b: b3D,\n      transposeA,\n      transposeB,\n      bias: $bias,\n      activation,\n      preluActivationWeights: $preluActivationWeights\n    });\n    save([a3D, b3D, y]);\n    return y;\n  }, inputs, grad);\n  return res.reshape(outShape) as T;\n}\n\n/**\n * Computes a 2D convolution over the input x, optionally fused with adding a\n * bias and applying an activation.\n *\n * ```js\n * const inputDepth = 2;\n * const inShape = [2, 2, 2, inputDepth];\n * const outputDepth = 2;\n * const fSize = 1;\n * const pad = 0;\n * const strides = 1;\n *\n * const x = tf.tensor4d( [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n * 16], inShape);\n * const w = tf.tensor4d([-1, 1, -2, 0.5], [fSize, fSize, inputDepth,\n * outputDepth]);\n *\n * tf.fused.conv2d({ x, filter: w, strides, pad, dataFormat: 'NHWC',\n * dilations: [1, 1], bias: tf.scalar(5), activation: 'relu' }).print();\n * ```\n *\n * @param obj An object with the following properties:\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid` output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param bias Tensor to be added to the result.\n * @param activation Name of activation kernel (defaults to `linear`) to be\n *     applied\n *      after biasAdd.\n * @param preluActivationWeights Tensor of prelu weights to be applied as part\n *     of a `prelu` activation, typically the same shape as `x`.\n */\nfunction fusedConv2d_<T extends Tensor3D|Tensor4D>({\n  x,\n  filter,\n  strides,\n  pad,\n  dataFormat = 'NHWC',\n  dilations = [1, 1],\n  dimRoundingMode,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  x: T|TensorLike,\n  filter: Tensor4D|TensorLike,\n  strides: [number, number]|number,\n  pad: 'valid'|'same'|number,\n  dataFormat?: 'NHWC'|'NCHW',\n  dilations?: [number, number]|number,\n  dimRoundingMode?: 'floor'|'round'|'ceil',\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  activation = activation || 'linear';\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedConv2d(\n        x, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  const $x = convertToTensor(x, 'x', 'conv2d');\n  const $filter = convertToTensor(filter, 'filter', 'conv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in fused conv2d: input must be rank 4, but got rank ` +\n          `${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in fused conv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in fused conv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in conv2d: depth of input (${x4D.shape[3]}) must match ` +\n          `input depth for filter ${$filter.shape[2]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv2D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  util.assert(\n      dataFormat === 'NHWC',\n      () => `Error in conv2d: got dataFormat of ${\n          dataFormat} but only NHWC is currently supported.`);\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused conv2d');\n    [$bias] = makeTypesMatch($bias, $x);\n\n    broadcast_util.assertAndGetBroadcastShape(convInfo.outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused conv2d');\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [$filter, x4D, y] = saved as [Tensor4D, Tensor4D, Tensor4D];\n\n    const dyActivation = getFusedDyActivation(dy, y, activation) as Tensor4D;\n\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of fused conv2D: ' +\n            `dilation rates greater than 1 ` +\n            `are not yet supported in gradients. Got dilations '${dilations}'`);\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    return Object.assign(\n        {\n          x: () =>\n              conv2dDerInput(x4D.shape, dyActivation, $filter, strides, pad),\n          filter: () =>\n              conv2dDerFilter(x4D, dyActivation, $filter.shape, strides, pad)\n        },\n        biasGradient);\n  };\n\n  const inputs: {\n    x: Tensor,\n    filter: Tensor,\n    bias?: Tensor,\n    preluActivationWeights?: Tensor\n  } = {x: x4D, filter: $filter};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [$filter, x4D];\n  const outputsToSave = [true];  // Save the only output.\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.fusedConv2d({\n          input: x4D,\n          filter: $filter,\n          convInfo,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([$filter, x4D, res]);\n        return res;\n      },\n      inputs, grad, 'FusedConv2D', {convInfo, activation}, inputsToSave,\n      outputsToSave);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes depthwise 2D convolution, optionally fused with adding a\n * bias and applying an activation.\n *\n * Given a 4D `input` array and a `filter` array of shape\n * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing\n * `inChannels` convolutional filters of depth 1, this op applies a\n * different filter to each input channel (expanding from 1 channel to\n * `channelMultiplier` channels for each), then concatenates the results\n * together. The output has `inChannels * channelMultiplier` channels.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)\n * for more details.\n *\n * @param obj An object with the following properties:\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param bias Tensor to be added to the result.\n * @param activation Name of activation kernel (defaults to `linear`).\n * @param preluActivationWeights Tensor of prelu weights to be applied as part\n *     of a `prelu` activation, typically the same shape as `x`.\n */\nfunction fusedDepthwiseConv2d_<T extends Tensor3D|Tensor4D>({\n  x,\n  filter,\n  strides,\n  pad,\n  dataFormat = 'NHWC',\n  dilations = [1, 1],\n  dimRoundingMode,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  x: T|TensorLike,\n  filter: Tensor4D|TensorLike,\n  strides: [number, number]|number,\n  pad: 'valid'|'same'|number,\n  dataFormat?: 'NHWC'|'NCHW',\n  dilations?: [number, number]|number,\n  dimRoundingMode?: 'floor'|'round'|'ceil',\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedDepthwiseConv2d(\n        x, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  const $x = convertToTensor(x, 'x', 'depthwiseConv2d');\n  const $filter = convertToTensor(filter, 'filter', 'depthwiseConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in fused depthwiseConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in fused depthwiseConv2d: filter must be rank 4, ` +\n          `but got rank ${$filter.rank}.`);\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in fused depthwiseConv2d: number of input channels ` +\n          `(${x4D.shape[3]}) must match the inChannels dimension in ` +\n          `filter ${$filter.shape[2]}.`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in fused depthwiseConv2d: Either strides or dilations must ' +\n          `be 1. Got strides ${strides} and dilations '${dilations}'`);\n\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in fused depthwiseConv2d: pad must be an integer when ` +\n            `using dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode,\n      true /* depthwise */);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused conv2d');\n    [$bias] = makeTypesMatch($bias, $x);\n\n    broadcast_util.assertAndGetBroadcastShape(convInfo.outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused depthwiseConv2d');\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of fused depthwiseConv2d: dilation rates ' +\n            `greater than 1 are not yet supported. Got dilations ` +\n            `'${dilations}'`);\n    const [$filter, x4D, y] = saved;\n\n    const dyActivation = getFusedDyActivation(dy, y, activation) as Tensor4D;\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    return Object.assign(\n        {\n          x: () => depthwiseConv2dDerInput(\n              (x4D as Tensor4D).shape, dyActivation, $filter as Tensor4D,\n              convInfo),\n          filter: () => depthwiseConv2dDerFilter(\n              x4D as Tensor4D, dyActivation, ($filter as Tensor4D).shape,\n              convInfo),\n        },\n        biasGradient);\n  };\n\n  const inputs: {\n    x: Tensor,\n    filter: Tensor,\n    bias?: Tensor,\n    preluActivationWeights?: Tensor\n  } = {x: x4D, filter: $filter};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [$filter, x4D];\n  const outputsToSave = [true];\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.fusedDepthwiseConv2D({\n          input: x4D,\n          filter: $filter,\n          convInfo,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([$filter, x4D, res]);\n        return res;\n      },\n      inputs, grad, 'FusedDepthwiseConv2D', {convInfo, activation},\n      inputsToSave, outputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nexport const matMul = op({fusedMatMul_});\nexport const conv2d = op({fusedConv2d_});\nexport const depthwiseConv2d = op({fusedDepthwiseConv2d_});\n\nexport {Activation};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TensorInfo} from '../../kernel_registry';\nimport {assert} from '../../util';\n\nexport function assertNotComplex(\n    tensor: TensorInfo|TensorInfo[], opName: string): void {\n  if (!Array.isArray(tensor)) {\n    tensor = [tensor];\n  }\n  tensor.forEach(t => {\n    if (t != null) {\n      assert(\n          t.dtype !== 'complex64',\n          () => `${opName} does not support complex64 tensors.`);\n    }\n  });\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as seedrandom from 'seedrandom';\n\nimport {ENGINE} from '../../engine';\nimport {env} from '../../environment';\n\nimport {warn} from '../../log';\nimport * as array_ops_util from '../../ops/array_ops_util';\nimport * as axis_util from '../../ops/axis_util';\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {complex, imag, real} from '../../ops/complex_ops';\nimport * as concat_util from '../../ops/concat_util';\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport * as erf_util from '../../ops/erf_util';\nimport {Activation, FusedBatchMatMulConfig, FusedConv2DConfig} from '../../ops/fused_util';\nimport * as gather_nd_util from '../../ops/gather_nd_util';\nimport * as ops from '../../ops/ops';\nimport {buffer, scalar, tensor, tensor4d} from '../../ops/ops';\nimport * as scatter_nd_util from '../../ops/scatter_nd_util';\nimport * as selu_util from '../../ops/selu_util';\nimport {computeFlatOffset, computeOutShape, isSliceContinous} from '../../ops/slice_util';\nimport {DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer} from '../../tensor';\nimport {BackendValues, DataType, DataValues, NumericDataType, Rank, ShapeMap, TypedArray, upcastType} from '../../types';\nimport * as util from '../../util';\nimport {getArrayFromDType, inferDtype, now, sizeFromShape} from '../../util';\nimport {BackendTimingInfo, DataStorage, EPSILON_FLOAT32, KernelBackend} from '../backend';\nimport * as backend_util from '../backend_util';\nimport * as complex_util from '../complex_util';\nimport {nonMaxSuppressionV3} from '../non_max_suppression_impl';\nimport {split} from '../split_shared';\nimport {tile} from '../tile_impl';\nimport {topkImpl} from '../topk_impl';\nimport {whereImpl} from '../where_impl';\nimport {assertNotComplex} from './cpu_util';\n\nfunction mapActivation(\n    backend: MathBackendCPU, x: Tensor, activation: Activation,\n    preluActivationWeights?: Tensor): Tensor {\n  if (activation === 'linear') {\n    return backend.linear(x);\n  } else if (activation === 'relu') {\n    return backend.relu(x);\n  } else if (activation === 'elu') {\n    return backend.elu(x);\n  } else if (activation === 'relu6') {\n    return backend.relu6(x);\n  } else if (activation === 'prelu') {\n    return backend.prelu(x, preluActivationWeights);\n  }\n  throw new Error(\n      `Activation ${activation} has not been implemented for the CPU backend.`);\n}\n\nexport interface TensorData<D extends DataType> {\n  values?: BackendValues;\n  dtype: D;\n  // For complex numbers, the real and imaginary parts are stored as their own\n  // individual tensors, with a parent joining the two with the\n  // complexTensors field.\n  // TODO(smilkov): Replace Tensor with TensorInfo when you modularize ops\n  // that work with complex tensors.\n  complexTensors?: {real: Tensor, imag: Tensor};\n}\n\nexport class MathBackendCPU extends KernelBackend {\n  public blockSize = 48;\n\n  data: DataStorage<TensorData<DataType>>;\n  private firstUse = true;\n\n  constructor() {\n    super();\n    this.data = new DataStorage(this, ENGINE);\n  }\n\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    if (this.firstUse) {\n      this.firstUse = false;\n      if (env().get('IS_NODE')) {\n        warn(\n            '\\n============================\\n' +\n            'Hi there 👋. Looks like you are running TensorFlow.js in ' +\n            'Node.js. To speed things up dramatically, install our node ' +\n            'backend, which binds to TensorFlow C++, by running ' +\n            'npm i @tensorflow/tfjs-node, ' +\n            'or npm i @tensorflow/tfjs-node-gpu if you have CUDA. ' +\n            'Then call require(\\'@tensorflow/tfjs-node\\'); (-gpu ' +\n            'suffix for CUDA) at the start of your program. ' +\n            'Visit https://github.com/tensorflow/tfjs-node for more details.' +\n            '\\n============================');\n      }\n    }\n    const dataId = {};\n    this.data.set(dataId, {values, dtype});\n    return dataId;\n  }\n\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    this.data.set(dataId, {values, dtype});\n  }\n\n  numDataIds(): number {\n    return this.data.numDataIds();\n  }\n\n  async read(dataId: DataId): Promise<BackendValues> {\n    return this.readSync(dataId);\n  }\n  readSync(dataId: DataId): BackendValues {\n    const {dtype, complexTensors} = this.data.get(dataId);\n    if (dtype === 'complex64') {\n      const realValues =\n          this.readSync(complexTensors.real.dataId) as Float32Array;\n      const imagValues =\n          this.readSync(complexTensors.imag.dataId) as Float32Array;\n      return complex_util.mergeRealAndImagArrays(realValues, imagValues);\n    }\n    return this.data.get(dataId).values;\n  }\n\n  private bufferSync<R extends Rank>(t: Tensor<R>): TensorBuffer<R> {\n    const data = this.readSync(t.dataId);\n    let decodedData = data as DataValues;\n    if (t.dtype === 'string') {\n      try {\n        // Decode the bytes into string.\n        decodedData = (data as Uint8Array[]).map(d => util.decodeString(d));\n      } catch {\n        throw new Error('Failed to decode encoded string bytes into utf-8');\n      }\n    }\n    return buffer(t.shape, t.dtype, decodedData) as TensorBuffer<R>;\n  }\n\n  private makeOutput<T extends Tensor>(\n      values: BackendValues, shape: number[], dtype: DataType): T {\n    const dataId = this.write(values, shape, dtype);\n    return ENGINE.makeTensorFromDataId(dataId, shape, dtype, this) as T;\n  }\n\n  disposeData(dataId: DataId): void {\n    if (this.data.has(dataId)) {\n      const {complexTensors} = this.data.get(dataId);\n      if (complexTensors != null) {\n        complexTensors.real.dispose();\n        complexTensors.imag.dispose();\n      }\n      this.data.delete(dataId);\n    }\n  }\n\n  async time(f: () => void): Promise<BackendTimingInfo> {\n    const start = now();\n    f();\n    const kernelMs = now() - start;\n    return {kernelMs};\n  }\n\n  memory() {\n    return {\n      // Unreliable due to automatic gc. The numbers above are cumulative.\n      unreliable: true,\n      reasons:\n          ['The reported memory is an upper bound. Due to automatic garbage ' +\n           'collection, the true allocated memory may be less.']\n    };\n  }\n\n  complex<T extends Tensor>(real: T, imag: T): T {\n    const result = this.makeOutput(null, real.shape, 'complex64');\n\n    const resultData = this.data.get(result.dataId);\n    // The backend owns the reference to the underlying real and imaginary\n    // clones. These will explicitly get disposed when the complex tensor is\n    // disposed.\n    resultData.complexTensors = {\n      real: ENGINE.keep(real.clone()),\n      imag: ENGINE.keep(imag.clone())\n    };\n\n    return result as T;\n  }\n  real<T extends Tensor>(input: T): T {\n    const resultData = this.data.get(input.dataId);\n    return resultData.complexTensors.real.clone() as T;\n  }\n  imag<T extends Tensor>(input: T): T {\n    const resultData = this.data.get(input.dataId);\n    return resultData.complexTensors.imag.clone() as T;\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    assertNotComplex(x, 'slice');\n\n    const isContinous = isSliceContinous(x.shape, begin, size);\n    if (isContinous) {\n      const flatOffset = computeFlatOffset(begin, x.strides);\n      const length = util.sizeFromShape(size);\n      const vals = this.readSync(x.dataId) as TypedArray;\n      return tensor(\n                 vals.subarray(flatOffset, flatOffset + length), size,\n                 x.dtype) as T;\n    }\n\n    const buffer = ops.buffer(size, x.dtype);\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < buffer.size; ++i) {\n      const loc = buffer.indexToLoc(i);\n      const xLoc = loc.map((idx, j) => idx + begin[j]);\n      buffer.values[i] = xBuf.get(...xLoc);\n    }\n    return buffer.toTensor() as T;\n  }\n\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    assertNotComplex(x, 'stridedSlice');\n\n    const outShape = computeOutShape(begin, end, strides);\n\n    if (outShape.some(axis => axis === 0)) {\n      return ops.tensor([], outShape) as T;\n    }\n\n    const buffer = ops.buffer(outShape, x.dtype);\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < buffer.size; i++) {\n      const loc = buffer.indexToLoc(i);\n\n      const newLoc: number[] = new Array(loc.length);\n      for (let j = 0; j < newLoc.length; j++) {\n        newLoc[j] = loc[j] * strides[j] + begin[j];\n      }\n      buffer.set(xBuf.get(...newLoc), ...loc);\n    }\n\n    return buffer.toTensor() as T;\n  }\n\n  diag(x: Tensor): Tensor {\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const buffer = ops.buffer([x.size, x.size], x.dtype);\n    const vals = buffer.values;\n    for (let i = 0; i < xVals.length; i++) {\n      vals[i * x.size + i] = xVals[i];\n    }\n    return buffer.toTensor();\n  }\n\n  unstack(x: Tensor, axis: number): Tensor[] {\n    const num = x.shape[axis];\n    const outShape: number[] = new Array(x.rank - 1);\n    let outIndex = 0;\n    for (let i = 0; i < x.rank; i++) {\n      if (i !== axis) {\n        outShape[outIndex++] = x.shape[i];\n      }\n    }\n\n    const begin = new Array(x.rank).fill(0);\n    const size = x.shape.slice();\n    size[axis] = 1;\n    const res = new Array(num);\n    for (let i = 0; i < res.length; i++) {\n      begin[axis] = i;\n      res[i] = this.slice(x, begin, size).reshape(outShape);\n    }\n    return res;\n  }\n\n  reverse<T extends Tensor>(x: T, axis: number[]): T {\n    assertNotComplex(x, 'reverse');\n\n    const buffer = ops.buffer(x.shape, x.dtype);\n    const xBuf = this.bufferSync(x);\n\n    for (let i = 0; i < buffer.size; i++) {\n      const outLoc = buffer.indexToLoc(i);\n      const inLoc = outLoc.slice();\n      axis.forEach(ax => inLoc[ax] = x.shape[ax] - 1 - inLoc[ax]);\n      buffer.set(xBuf.get(...inLoc), ...outLoc);\n    }\n\n    return buffer.toTensor() as T;\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    if (tensors[0].dtype === 'complex64') {\n      const reals = tensors.map((t) => real(t));\n      const imags = tensors.map((t) => imag(t));\n      return complex(this.concat(reals, axis), this.concat(imags, axis));\n    }\n    const tensors2D = tensors.map(t => {\n      const innerSize = util.sizeFromShape(t.shape.slice(axis));\n      return t.as2D(-1, innerSize);\n    });\n    const outShape =\n        concat_util.computeOutShape(tensors2D.map(t => t.shape), 1 /* axis */);\n    const values =\n        ops.buffer(outShape as [number, number], tensors[0].dtype as 'float32')\n            .values;\n    if (tensors2D[0].shape[0] === 1) {\n      // Use built-in TypedArray.set() method for speed.\n      let offset = 0;\n      tensors2D.forEach(t => {\n        values.set(this.readSync(t.dataId) as TypedArray, offset);\n        offset += t.size;\n      });\n    } else {\n      let colOffset = 0;\n      tensors2D.forEach(t => {\n        const tVals = this.readSync(t.dataId) as TypedArray;\n        let tIdx = 0;\n        for (let row = 0; row < t.shape[0]; ++row) {\n          const resIdx = row * outShape[1] + colOffset;\n          for (let col = 0; col < t.shape[1]; ++col) {\n            values[resIdx + col] = tVals[tIdx++];\n          }\n        }\n        colOffset += t.shape[1];\n      });\n    }\n    const finalOutShape =\n        concat_util.computeOutShape(tensors.map(t => t.shape), axis);\n    return tensor(values, finalOutShape, tensors[0].dtype);\n  }\n\n  neg<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'neg');\n\n    return this.multiply(ops.scalar(-1), x) as T;\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {real: aReal + bReal, imag: aImag + bImag};\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue + bValue);\n  }\n\n  addN<T extends Tensor>(tensors: T[]): T {\n    assertNotComplex(tensors, 'addN');\n\n    const vals = tensors.map(t => this.readSync(t.dataId) as TypedArray);\n    const result = ops.buffer(tensors[0].shape, tensors[0].dtype as 'float32');\n    const resultVals = result.values;\n    for (let i = 0; i < tensors.length; i++) {\n      const currVals = vals[i];\n      for (let j = 0; j < resultVals.length; j++) {\n        resultVals[j] += currVals[j];\n      }\n    }\n    return result.toTensor() as T;\n  }\n\n  subtract(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {real: aReal - bReal, imag: aImag - bImag};\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue - bValue);\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    assertNotComplex([a, b], 'pow');\n\n    return this.broadcastedBinaryOp(\n               a, b, a.dtype, (aValue, bValue) => Math.pow(aValue, bValue)) as\n        T;\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    assertNotComplex([a, b], 'matMul');\n\n    const sharedDim = transposeA ? a.shape[1] : a.shape[2];\n    const leftDim = transposeA ? a.shape[2] : a.shape[1];\n    const rightDim = transposeB ? b.shape[1] : b.shape[2];\n    const batchDim = a.shape[0];\n\n    const aValues = this.readSync(a.dataId) as TypedArray;\n    const bValues = this.readSync(b.dataId) as TypedArray;\n    const [aBatch, aOuterStep, aInnerStep] = transposeA ?\n        [a.strides[0], 1, a.strides[1]] :\n        [a.strides[0], a.strides[1], 1];\n    const [bInnerStep, bOuterStep, bBatch] = transposeB ?\n        [1, b.strides[1], b.strides[0]] :\n        [b.strides[1], 1, b.strides[0]];\n\n    const size = leftDim * rightDim;\n    const result = buffer([batchDim, leftDim, rightDim], a.dtype);\n    const resVals = result.values as TypedArray;\n    const blockSize = this.blockSize;\n\n    for (let b = 0; b < batchDim; b++) {\n      for (let i0 = 0; i0 < leftDim; i0 += blockSize) {\n        for (let j0 = 0; j0 < rightDim; j0 += blockSize) {\n          for (let k0 = 0; k0 < sharedDim; k0 += blockSize) {\n            // for when blockSize doesn't evenly divide the input\n            const iBlock = Math.min(i0 + blockSize, leftDim);\n            const jBlock = Math.min(j0 + blockSize, rightDim);\n            const kBlock = Math.min(k0 + blockSize, sharedDim);\n\n            for (let i = i0; i < iBlock; i++) {\n              for (let j = j0; j < jBlock; j++) {\n                let sum = 0.0;\n\n                for (let k = k0; k < kBlock; k++) {\n                  sum += aValues[b * aBatch + i * aOuterStep + k * aInnerStep] *\n                      bValues[k * bInnerStep + j * bOuterStep + b * bBatch];\n                }\n                resVals[b * size + (i * rightDim + j)] += sum;\n              }\n            }\n          }\n        }\n      }\n    }\n    return result.toTensor() as Tensor3D;\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    let result = this.batchMatMul(a, b, transposeA, transposeB);\n    if (bias) {\n      result = this.add(result, bias) as Tensor3D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor3D;\n    }\n    return result;\n  }\n\n  multiply(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {\n              real: aReal * bReal - aImag * bImag,\n              imag: aReal * bImag + aImag * bReal\n            };\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue * bValue);\n  }\n\n  realDivide(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'realDivide');\n\n    const op = (a: number, b: number) => a / b;\n    const outputDtype = 'float32';\n    return this.broadcastedBinaryOp(a, b, outputDtype, op);\n  }\n\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'floorDiv');\n\n    const op = (a: number, b: number) => Math.floor(a / b);\n    const outputDtype = 'int32';\n    return this.broadcastedBinaryOp(a, b, outputDtype, op);\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'sum');\n\n    axis_util.assertAxesAreInnerMostDims('sum', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(outShape, resultDtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let sum = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        sum += aVals[offset + j];\n      }\n      vals[i] = sum;\n    }\n    return result;\n  }\n\n  prod(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'sum');\n\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(outShape, resultDtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let prod = 1;\n      for (let j = 0; j < reduceSize; ++j) {\n        prod *= aVals[offset + j];\n      }\n      vals[i] = prod;\n    }\n    return result;\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    assertNotComplex(x, 'unsortedSegmentSum');\n\n    const res = [];\n\n    // Reshape the segment id's so that they can be broadcast with\n    // x. The new shape should be [segmentIds.shape, 1, ..., 1]\n    const numIters = x.rank - segmentIds.rank;\n    for (let i = 0; i < numIters; ++i) {\n      segmentIds = segmentIds.expandDims(i + 1);\n    }\n\n    for (let i = 0; i < numSegments; ++i) {\n      const segmentId = ops.scalar(i, 'int32');\n      const mask = ops.equal(segmentId, segmentIds).asType('float32');\n      const sum = mask.mul(x).sum(0);\n      res.push(sum);\n    }\n\n    return ops.stack(res);\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    assertNotComplex(x, 'argMin');\n\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims('argMin', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, 'int32');\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let min = aVals[offset];\n      let minIndex = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value < min) {\n          min = value;\n          minIndex = j;\n        }\n      }\n      vals[i] = minIndex;\n    }\n    return result;\n  }\n\n  argMax(x: Tensor, axis: number): Tensor {\n    assertNotComplex(x, 'argMax');\n\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims('argMax', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, 'int32');\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let max = aVals[offset];\n      let maxIndex = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value > max) {\n          max = value;\n          maxIndex = j;\n        }\n      }\n      vals[i] = maxIndex;\n    }\n    return result;\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    assertNotComplex(x, 'cumsum');\n\n    if (axis !== x.rank - 1) {\n      throw new Error(\n          `backend.cumsum in CPU expects an inner-most axis=${x.rank - 1} ` +\n          `but got axis=${axis}`);\n    }\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(x.shape, resultDtype);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    const finalDim = x.shape[x.rank - 1];\n    const indexAdjuster = reverse ?\n        (i: number, j: number) => i + finalDim - j - 1 :\n        (i: number, j: number) => i + j;\n    for (let i = 0; i < aVals.length; i += finalDim) {\n      for (let j = 0; j < finalDim; j++) {\n        const idx = indexAdjuster(i, j);\n        if (j === 0) {\n          vals[idx] = exclusive ? 0 : aVals[idx];\n        } else {\n          const prevIdx = indexAdjuster(i, j - 1);\n          vals[idx] = exclusive ? aVals[prevIdx] + vals[prevIdx] :\n                                  aVals[idx] + vals[prevIdx];\n        }\n      }\n    }\n    return result;\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'equal');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal === bVal) ? 1 : 0;\n    });\n  }\n\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'notEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal !== bVal) ? 1 : 0;\n    });\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'less');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal < bVal) ? 1 : 0;\n    });\n  }\n\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'lessEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal <= bVal) ? 1 : 0;\n    });\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'greater');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal > bVal) ? 1 : 0;\n    });\n  }\n\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'greaterEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal >= bVal) ? 1 : 0;\n    });\n  }\n\n  logicalNot<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'logicalNot');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = values[i] ? 0 : 1;\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'logicalAnd');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return aVal && bVal;\n    });\n  }\n\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'logicalOr');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return aVal || bVal;\n    });\n  }\n\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([condition, a, b], 'select');\n\n    const values = this.readSync(condition.dataId) as TypedArray;\n    const aValues = this.readSync(a.dataId) as TypedArray;\n    const bValues = this.readSync(b.dataId) as TypedArray;\n    const result = ops.zeros(a.shape, upcastType(a.dtype, b.dtype));\n    const newValues = this.readSync(result.dataId) as TypedArray;\n    let index = 0;\n    const offset = condition.rank === 0 || condition.rank > 1 || a.rank === 1 ?\n        1 :\n        util.sizeFromShape(a.shape.slice(1));\n\n    for (let i = 0; i < values.length; i++) {\n      for (let j = 0; j < offset; j++) {\n        if (values[i] === 1) {\n          newValues[index++] = aValues[i];\n        } else {\n          newValues[index++] = bValues[i];\n        }\n      }\n    }\n\n    return result;\n  }\n\n  where(condition: Tensor): Tensor2D {\n    assertNotComplex([condition], 'where');\n\n    const condVals = this.readSync(condition.dataId) as TypedArray;\n    return whereImpl(condition.shape, condVals);\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    assertNotComplex(x, 'topk');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    return topkImpl(xVals, x.shape, x.dtype as NumericDataType, k, sorted);\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'min');\n\n    axis_util.assertAxesAreInnerMostDims('min', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let min = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value < min) {\n          min = value;\n        }\n      }\n      vals[i] = min;\n    }\n    return result;\n  }\n\n  minimum(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'minimum');\n\n    return this.broadcastedBinaryOp(\n        a, b, a.dtype, (aVal, bVal) => Math.min(aVal, bVal));\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'mod');\n\n    return this.broadcastedBinaryOp(a, b, a.dtype, (aVal, bVal) => {\n      const rem = aVal % bVal;\n      if ((aVal < 0 && bVal < 0) || (aVal >= 0 && bVal >= 0)) {\n        return rem;\n      } else {\n        return (rem + bVal) % bVal;\n      }\n    });\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'max');\n\n    axis_util.assertAxesAreInnerMostDims('max', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let max = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value > max) {\n          max = value;\n        }\n      }\n      vals[i] = max;\n    }\n    return result;\n  }\n\n  maximum(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'maximum');\n\n    return this.broadcastedBinaryOp(\n        a, b, a.dtype, (aVal, bVal) => Math.max(aVal, bVal));\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'all');\n\n    axis_util.assertAxesAreInnerMostDims('all', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let all = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        all = all && value;\n      }\n      vals[i] = all;\n    }\n    return result;\n  }\n\n  any(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'any');\n\n    axis_util.assertAxesAreInnerMostDims('any', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let anyVal = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        anyVal = anyVal || value;\n      }\n      vals[i] = anyVal;\n    }\n    return result;\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'squaredDifference');\n\n    return this.broadcastedBinaryOp(a, b, a.dtype, (aVal, bVal) => {\n      const diff = aVal - bVal;\n      return diff * diff;\n    });\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'ceil');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.ceil(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  floor<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'floor');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.floor(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (values[i] < 0) {\n        newValues[i] = -1;\n      } else if (values[i] > 0) {\n        newValues[i] = 1;\n      } else {\n        newValues[i] = 0;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Number.isNaN(values[i])) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  isInf<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Math.abs(values[i]) === Infinity) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  isFinite<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Number.isFinite(values[i])) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  round<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'round');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      // The algorithm is based on banker's rounding.\n      const base = Math.floor(values[i]);\n      if (values[i] - base < 0.5) {\n        newValues[i] = Math.floor(values[i]);\n      } else if (values[i] - base > 0.5) {\n        newValues[i] = Math.ceil(values[i]);\n      } else {\n        if (base % 2.0 === 0.0) {\n          newValues[i] = base;\n        } else {\n          newValues[i] = base + 1.0;\n        }\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  exp<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'exp');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.exp(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  expm1<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'expm1');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.expm1(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  log<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'log');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.log(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  log1p<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'log1p');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.log1p(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  sqrt<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sqrt');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.sqrt(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  rsqrt<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'rsqrt');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = 1 / Math.sqrt(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  reciprocal<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'reciprocal');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = 1 / values[i];\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  linear<T extends Tensor>(x: T): T {\n    return x;\n  }\n\n  relu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'relu');\n\n    const res = ops.zeros(x.shape, x.dtype);\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const inVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < inVals.length; ++i) {\n      resVals[i] = Math.max(0, inVals[i]);\n    }\n    return res as T;\n  }\n\n  relu6<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'relu');\n\n    const res = ops.zeros(x.shape, x.dtype);\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const inVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < inVals.length; ++i) {\n      resVals[i] = Math.min(Math.max(0, inVals[i]), 6);\n    }\n    return res as T;\n  }\n\n  prelu<T extends Tensor>(x: T, a: T): T {\n    assertNotComplex([x, a], 'prelu');\n\n    return this.broadcastedBinaryOp(\n               x, a, x.dtype,\n               (xValue, aValue) => xValue < 0 ? aValue * xValue : xValue) as T;\n  }\n\n  elu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'elu');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 0) {\n        resultValues[i] = v;\n      } else {\n        resultValues[i] = (Math.exp(v) - 1);\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    assertNotComplex([dy, y], 'eluDer');\n\n    const resultValues = new Float32Array(y.size);\n    const values = this.readSync(y.dataId) as TypedArray;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 1) {\n        resultValues[i] = dyValues[i];\n      } else {\n        resultValues[i] = dyValues[i] * (v + 1);\n      }\n    }\n    return this.makeOutput(resultValues, y.shape, 'float32');\n  }\n\n  selu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'selu');\n\n    // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n    // see: https://arxiv.org/abs/1706.02515\n    const scaleAlpha = selu_util.SELU_SCALEALPHA;\n    const scale = selu_util.SELU_SCALE;\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 0) {\n        resultValues[i] = scale * v;\n      } else {\n        resultValues[i] = scaleAlpha * (Math.exp(v) - 1);\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    assertNotComplex(x, 'clip');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      resultValues[i] = v > max ? max : (v < min ? min : v);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.abs(values[i]);\n    }\n\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  complexAbs<T extends Tensor>(x: T): T {\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < x.size; ++i) {\n      const real = values[i * 2];\n      const imag = values[i * 2 + 1];\n      resultValues[i] = Math.hypot(real, imag);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  int<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'int');\n\n    const resultValues = new Int32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = values[i];\n    }\n    return this.makeOutput(resultValues, x.shape, 'int32');\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sigmoid');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = 1 / (1 + Math.exp(-values[i]));\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'softplus');\n\n    // mirrors the implementation of tf.nn.softplus: https://goo.gl/vkcvwX\n\n    // epsilon is the difference between 1.0 and the next representable float.\n    // For a single precision 32 bit float this should be 2^-23, see:\n    // https://math.byu.edu/~schow/work/IEEEFloatingPoint.htm\n    const epsilon = 1.1920928955078125e-7;\n    const threshold = Math.log(epsilon) + 2.0;\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < values.length; ++i) {\n      // Value above which exp(x) may overflow, but softplus(x) == x\n      // is within machine epsilon.\n      const tooLarge = values[i] > -threshold;\n\n      // Value below which exp(x) may underflow, but softplus(x) == exp(x)\n      // is within machine epsilon.\n      const tooSmall = values[i] < threshold;\n\n      const expX = Math.exp(values[i]);\n      let result;\n\n      if (tooSmall) {\n        result = expX;\n      } else if (tooLarge) {\n        result = values[i];\n      } else {\n        result = Math.log(1.0 + expX);\n      }\n      resultValues[i] = result;\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sin');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.sin(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  cos<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'cos');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.cos(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  tan<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'tan');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.tan(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'asin');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.asin(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  acos<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'acos');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.acos(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atan<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'atan');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.atan(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atan2<T extends Tensor>(a: T, b: T): T {\n    assertNotComplex([a, b], 'atan2');\n\n    return this.broadcastedBinaryOp(\n               a, b, a.dtype, (aValue, bValue) => Math.atan2(aValue, bValue)) as\n        T;\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sinh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.sinh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  cosh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'cosh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.cosh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  tanh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'tanh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = util.tanh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'asinh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.asinh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  acosh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'acosh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.acosh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atanh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'atanh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.atanh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'erf');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    const p = erf_util.ERF_P;\n    const a1 = erf_util.ERF_A1;\n    const a2 = erf_util.ERF_A2;\n    const a3 = erf_util.ERF_A3;\n    const a4 = erf_util.ERF_A4;\n    const a5 = erf_util.ERF_A5;\n    for (let i = 0; i < values.length; ++i) {\n      const sign = Math.sign(values[i]);\n      const v = Math.abs(values[i]);\n      const t = 1.0 / (1.0 + p * v);\n      resultValues[i] = sign *\n          (1.0 -\n           (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t *\n               Math.exp(-v * v));\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  step<T extends Tensor>(x: T, alpha = 0): T {\n    assertNotComplex(x, 'step');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      if (isNaN(value)) {\n        resultValues[i] = NaN;\n      } else {\n        resultValues[i] = value > 0 ? 1 : alpha;\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    let result = this.conv2d(input, filter, convInfo);\n\n    if (bias) {\n      result = this.add(result, bias) as Tensor4D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor4D;\n    }\n    return result;\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([x, filter], 'conv2d');\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const y = ops.buffer(convInfo.outShape, x.dtype as 'float32');\n\n    const xBatchStride = x.strides[0];\n    const xRowStride = isChannelsLast ? x.strides[1] : x.strides[2];\n    const xColStride = isChannelsLast ? x.strides[2] : 1;\n    const xChannelStride = isChannelsLast ? 1 : x.strides[1];\n    const yBatchStride = y.strides[0];\n    const yRowStride = isChannelsLast ? y.strides[1] : y.strides[2];\n    const yColStride = isChannelsLast ? y.strides[2] : 1;\n    const yChannelStride = isChannelsLast ? 1 : y.strides[1];\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * xBatchStride;\n      const yOffset1 = b * yBatchStride;\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const yOffset2 = yOffset1 + yR * yRowStride;\n        const xRCorner = yR * convInfo.strideHeight - padTop;\n        for (let wR = 0; wR < filterHeight; wR++) {\n          const xR = xRCorner + wR * dilationHeight;\n          if (xR < 0 || xR >= convInfo.inHeight) {\n            continue;\n          }\n          const wOffset1 = wR * filter.strides[0];\n          const xOffset2 = xOffset1 + xR * xRowStride;\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const yOffset3 = yOffset2 + yC * yColStride;\n            const xCCorner = yC * convInfo.strideWidth - padLeft;\n            for (let wC = 0; wC < filterWidth; wC++) {\n              const xC = xCCorner + wC * dilationWidth;\n              if (xC < 0 || xC >= convInfo.inWidth) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wC * filter.strides[1];\n              const xOffset3 = xOffset2 + xC * xColStride;\n              let wOffset3 = wOffset2;\n              for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                const xVal = xVals[xOffset3 + d1 * xChannelStride];\n                for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n                  yVals[yOffset3 + d2 * yChannelStride] +=\n                      xVal * wVals[wOffset3 + d2];\n                }\n                wOffset3 += convInfo.outChannels;\n              }\n            }\n          }\n        }\n      }\n    }\n    return y.toTensor() as Tensor4D;\n  }\n\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padFront = convInfo.padInfo.front;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const y = ops.buffer<Rank.R5>(convInfo.outShape, x.dtype as 'float32');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * x.strides[0];\n      const yOffset1 = b * y.strides[0];\n      for (let yF = 0; yF < convInfo.outDepth; ++yF) {\n        const yOffset2 = yOffset1 + yF * y.strides[1];\n        const xFCorner = yF * convInfo.strideDepth - padFront;\n        for (let wF = 0; wF < filterDepth; wF++) {\n          const xF = xFCorner + wF * dilationDepth;\n          if (xF < 0 || xF >= convInfo.inDepth) {\n            continue;\n          }\n          const wOffset1 = wF * filter.strides[0];\n          const xOffset2 = xOffset1 + xF * x.strides[1];\n\n          for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n            const yOffset3 = yOffset2 + yR * y.strides[2];\n            const xRCorner = yR * convInfo.strideHeight - padTop;\n            for (let wR = 0; wR < filterHeight; wR++) {\n              const xR = xRCorner + wR * dilationHeight;\n              if (xR < 0 || xR >= convInfo.inHeight) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wR * filter.strides[1];\n              const xOffset3 = xOffset2 + xR * x.strides[2];\n              for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n                const yOffset4 = yOffset3 + yC * convInfo.outChannels;\n                const xCCorner = yC * convInfo.strideWidth - padLeft;\n                for (let wC = 0; wC < filterWidth; wC++) {\n                  const xC = xCCorner + wC * dilationWidth;\n                  if (xC < 0 || xC >= convInfo.inWidth) {\n                    continue;\n                  }\n                  const wOffset3 = wOffset2 + wC * filter.strides[2];\n                  const xOffset4 = xOffset3 + xC * convInfo.inChannels;\n                  let wOffset4 = wOffset3;\n                  for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                    const xVal = xVals[xOffset4 + d1];\n                    for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n                      yVals[yOffset4 + d2] += xVal * wVals[wOffset4 + d2];\n                    }\n                    wOffset4 += convInfo.outChannels;\n                  }\n                }\n              }\n            }\n          }\n        }\n      }\n    }\n    return y.toTensor();\n  }\n\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([dy, filter], 'conv2dDerInput');\n\n    const dx = ops.buffer<Rank.R4>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2] = filter.strides;\n    const {\n      batchSize,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inHeight,\n      inWidth,\n      outChannels,\n      outHeight,\n      outWidth,\n      strideHeight,\n      strideWidth,\n      dataFormat\n    } = convInfo;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n\n    const isChannelsLast = dataFormat === 'channelsLast';\n    const xBatchStride = dx.strides[0];\n    const xRowStride = isChannelsLast ? dx.strides[1] : dx.strides[2];\n    const xColStride = isChannelsLast ? dx.strides[2] : 1;\n    const xChannelStride = isChannelsLast ? 1 : dx.strides[1];\n    const yBatchStride = dy.strides[0];\n    const yRowStride = isChannelsLast ? dy.strides[1] : dy.strides[2];\n    const yColStride = isChannelsLast ? dy.strides[2] : 1;\n    const yChannelStride = isChannelsLast ? 1 : dy.strides[1];\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        for (let xR = 0; xR < inHeight; ++xR) {\n          const xRCorner = xR - topPad;\n          const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n          const yRMax =\n              Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n\n          for (let xC = 0; xC < inWidth; ++xC) {\n            const xCCorner = xC - leftPad;\n            const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n            const yCMax =\n                Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n            let dotProd = 0;\n            for (let yR = xRMin; yR < yRMax; ++yR) {\n              const wR = yR * strideHeight - xRCorner;\n\n              for (let yC = xCMin; yC < yCMax; ++yC) {\n                const wC = yC * strideWidth - xCCorner;\n                const dyOffset =\n                    yBatchStride * b + yRowStride * yR + yColStride * yC;\n                const fltOffset = fltS0 * (filterHeight - 1 - wR) +\n                    fltS1 * (filterWidth - 1 - wC) + fltS2 * d1;\n\n                for (let d2 = 0; d2 < outChannels; ++d2) {\n                  const pixel = dyValues[dyOffset + yChannelStride * d2];\n                  const weight = fltValues[fltOffset + d2];\n                  dotProd += pixel * weight;\n                }\n              }\n            }\n            const dxOffset = xBatchStride * b + xRowStride * xR +\n                xColStride * xC + xChannelStride * d1;\n            dxValues[dxOffset] = dotProd;\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    const dx = ops.buffer<Rank.R5>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const [dxS0, dxS1, dxS2, dxS3] = dx.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2, dyS3] = dy.strides;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2, fltS3] = filter.strides;\n    const {\n      batchSize,\n      filterDepth,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inDepth,\n      inHeight,\n      inWidth,\n      outChannels,\n      outDepth,\n      outHeight,\n      outWidth,\n      strideDepth,\n      strideHeight,\n      strideWidth\n    } = convInfo;\n    const frontPad = filterDepth - 1 - convInfo.padInfo.front;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        // Frames of depth\n        for (let xF = 0; xF < inDepth; ++xF) {\n          const xFCorner = xF - frontPad;\n          const xFMin = Math.max(0, Math.ceil(xFCorner / strideDepth));\n          const yFMax =\n              Math.min(outDepth, (filterDepth + xFCorner) / strideDepth);\n\n          // Rows as per standard 2d matrix notation\n          for (let xR = 0; xR < inHeight; ++xR) {\n            const xRCorner = xR - topPad;\n            const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n            const yRMax =\n                Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n            // Columns as per standard 2d matrix notation\n            for (let xC = 0; xC < inWidth; ++xC) {\n              const xCCorner = xC - leftPad;\n              const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n              const yCMax =\n                  Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n              let dotProd = 0;\n              for (let yF = xFMin; yF < yFMax; ++yF) {\n                const wF = yF * strideDepth - xFCorner;\n\n                for (let yR = xRMin; yR < yRMax; ++yR) {\n                  const wR = yR * strideHeight - xRCorner;\n\n                  for (let yC = xCMin; yC < yCMax; ++yC) {\n                    const wC = yC * strideWidth - xCCorner;\n                    const dyOffset =\n                        dyS0 * b + dyS1 * yF + dyS2 * yR + dyS3 * yC;\n                    const fltOffset = fltS0 * (filterDepth - 1 - wF) +\n                        fltS1 * (filterHeight - 1 - wR) +\n                        fltS2 * (filterWidth - 1 - wC) + fltS3 * d1;\n\n                    for (let d2 = 0; d2 < outChannels; ++d2) {\n                      const pixel = dyValues[dyOffset + d2];\n                      const weight = fltValues[fltOffset + d2];\n                      dotProd += pixel * weight;\n                    }\n                  }\n                }\n              }\n              dxValues[dxS0 * b + dxS1 * xF + dxS2 * xR + dxS3 * xC + d1] =\n                  dotProd;\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  conv2dDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([x, dy], 'conv2dDerFilter');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n    const dW = ops.buffer<Rank.R4>(convInfo.filterShape, 'float32');\n\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n    const xBuf = this.bufferSync(x);\n    const dyBuf = this.bufferSync(dy);\n    for (let wR = 0; wR < filterHeight; ++wR) {\n      const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n      const yRMax = Math.min(\n          convInfo.outHeight, (convInfo.inHeight + topPad - wR) / strideHeight);\n\n      for (let wC = 0; wC < filterWidth; ++wC) {\n        const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n        const yCMax = Math.min(\n            convInfo.outWidth, (convInfo.inWidth + leftPad - wC) / strideWidth);\n\n        for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n          for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n            // Need to convolve.\n            let dotProd = 0;\n            for (let b = 0; b < convInfo.batchSize; ++b) {\n              for (let yR = yRMin; yR < yRMax; ++yR) {\n                const xR = wR + yR * strideHeight - topPad;\n                for (let yC = yCMin; yC < yCMax; ++yC) {\n                  const xC = wC + yC * strideWidth - leftPad;\n                  if (isChannelsLast) {\n                    dotProd +=\n                        xBuf.get(b, xR, xC, d1) * dyBuf.get(b, yR, yC, d2);\n                  } else {\n                    dotProd +=\n                        xBuf.get(b, d1, xR, xC) * dyBuf.get(b, d2, yR, yC);\n                  }\n                }\n              }\n            }\n            dW.set(dotProd, wR, wC, d1, d2);\n          }\n        }\n      }\n    }\n    return dW.toTensor();\n  }\n\n  conv3dDerFilter(x: Tensor5D, dy: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const dw = ops.buffer<Rank.R5>(convInfo.filterShape, 'float32');\n    const dwValues = dw.values;\n    const [dwS0, dwS1, dwS2, dwS3] = dw.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2, dyS3] = dy.strides;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const [xS0, xS1, xS2, xS3] = x.strides;\n\n    const frontPad = convInfo.padInfo.front;\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n\n    for (let wF = 0; wF < filterDepth; ++wF) {\n      const yFMin = Math.max(0, Math.ceil((frontPad - wF) / strideDepth));\n      const yFMax = Math.min(\n          convInfo.outDepth, (convInfo.inDepth + frontPad - wF) / strideDepth);\n      const wOffset1 = wF * dwS0;\n\n      for (let wR = 0; wR < filterHeight; ++wR) {\n        const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n        const yRMax = Math.min(\n            convInfo.outHeight,\n            (convInfo.inHeight + topPad - wR) / strideHeight);\n        const wOffset2 = wR * dwS1 + wOffset1;\n\n        for (let wC = 0; wC < filterWidth; ++wC) {\n          const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n          const yCMax = Math.min(\n              convInfo.outWidth,\n              (convInfo.inWidth + leftPad - wC) / strideWidth);\n          const wOffset3 = wC * dwS2 + wOffset2;\n\n          for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n            const wOffset4 = d1 * dwS3 + wOffset3;\n\n            for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n              let dotProd = 0;\n              for (let b = 0; b < convInfo.batchSize; ++b) {\n                const xOffset1 = b * xS0;\n                const yOffset1 = b * dyS0;\n\n                for (let yF = yFMin; yF < yFMax; ++yF) {\n                  const xF = wF + yF * strideDepth - frontPad;\n                  const xOffset2 = xF * xS1 + xOffset1;\n                  const yOffset2 = yF * dyS1 + yOffset1;\n\n                  for (let yR = yRMin; yR < yRMax; ++yR) {\n                    const xR = wR + yR * strideHeight - topPad;\n                    const xOffset3 = xR * xS2 + xOffset2;\n                    const yOffset3 = yR * dyS2 + yOffset2;\n\n                    for (let yC = yCMin; yC < yCMax; ++yC) {\n                      const xC = wC + yC * strideWidth - leftPad;\n                      const xOffset4 = xC * xS3 + xOffset3;\n                      const yOffset4 = yC * dyS3 + yOffset3;\n\n                      dotProd +=\n                          xValues[xOffset4 + d1] * dyValues[yOffset4 + d2];\n                    }\n                  }\n                }\n              }\n              dwValues[wOffset4 + d2] = dotProd;\n            }\n          }\n        }\n      }\n    }\n    return dw.toTensor();\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    let result = this.depthwiseConv2D(input, filter, convInfo);\n\n    if (bias) {\n      result = this.add(result, bias) as Tensor4D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor4D;\n    }\n    return result;\n  }\n\n  depthwiseConv2D(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, filter], 'depthwiseConv2D');\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const chMul = convInfo.outChannels / convInfo.inChannels;\n    const y = ops.buffer(convInfo.outShape, x.dtype as 'float32');\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * x.strides[0];\n      const yOffset1 = b * y.strides[0];\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const yOffset2 = yOffset1 + yR * y.strides[1];\n        const xRCorner = yR * convInfo.strideHeight - padLeft;\n        for (let wR = 0; wR < filterHeight; ++wR) {\n          const xR = xRCorner + wR * dilationHeight;\n          if (xR < 0 || xR >= convInfo.inHeight) {\n            continue;\n          }\n          const wOffset1 = wR * filter.strides[0];\n          const xOffset2 = xOffset1 + xR * x.strides[1];\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const yOffset3 = yOffset2 + yC * y.strides[2];\n            const xCCorner = yC * convInfo.strideWidth - padTop;\n            for (let wC = 0; wC < filterWidth; ++wC) {\n              const xC = xCCorner + wC * dilationWidth;\n              if (xC < 0 || xC >= convInfo.inWidth) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wC * filter.strides[1];\n              const xOffset3 = xOffset2 + xC * convInfo.inChannels;\n              let yOffset4 = yOffset3;\n              let wOffset3 = wOffset2;\n              for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                const xVal = xVals[xOffset3 + d1];\n                for (let q = 0; q < chMul; ++q) {\n                  yVals[yOffset4 + q] += xVal * wVals[wOffset3 + q];\n                }\n                yOffset4 += chMul;\n                wOffset3 += chMul;\n              }\n            }\n          }\n        }\n      }\n    }\n\n    return y.toTensor() as Tensor4D;\n  }\n\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([dy, filter], 'depthwiseConv2DDerInput');\n\n    const dx = ops.buffer<Rank.R4>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const [dxS0, dxS1, dxS2] = dx.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2] = dy.strides;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2] = filter.strides;\n    const {\n      batchSize,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inHeight,\n      inWidth,\n      outChannels,\n      outHeight,\n      outWidth,\n      strideHeight,\n      strideWidth\n    } = convInfo;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n    const chMul = outChannels / inChannels;\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        for (let xR = 0; xR < inHeight; ++xR) {\n          const xRCorner = xR - topPad;\n          const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n          const yRMax =\n              Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n\n          for (let xC = 0; xC < inWidth; ++xC) {\n            const xCCorner = xC - leftPad;\n            const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n            const yCMax =\n                Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n            let dotProd = 0;\n            for (let yR = xRMin; yR < yRMax; ++yR) {\n              const wR = yR * strideHeight - xRCorner;\n\n              for (let yC = xCMin; yC < yCMax; ++yC) {\n                const wC = yC * strideWidth - xCCorner;\n                const dyOffset = dyS0 * b + dyS1 * yR + dyS2 * yC;\n                const fltOffset = fltS0 * (filterHeight - 1 - wR) +\n                    fltS1 * (filterWidth - 1 - wC) + fltS2 * d1;\n\n                for (let dm = 0; dm < chMul; ++dm) {\n                  const d2 = d1 * chMul + dm;\n                  const pixel = dyValues[dyOffset + d2];\n                  const weight = fltValues[fltOffset + dm];\n                  dotProd += pixel * weight;\n                }\n              }\n            }\n            dxValues[dxS0 * b + dxS1 * xR + dxS2 * xC + d1] = dotProd;\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  depthwiseConv2DDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, dy], 'depthwiseConv2DDerFilter');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dW = ops.buffer<Rank.R4>(convInfo.filterShape, 'float32');\n\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n    const chMul = convInfo.outChannels / convInfo.inChannels;\n\n    const xBuf = this.bufferSync(x);\n    const dyBuf = this.bufferSync(dy);\n    for (let wR = 0; wR < filterHeight; ++wR) {\n      const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n      const yRMax = Math.min(\n          convInfo.outHeight, (convInfo.inHeight + topPad - wR) / strideHeight);\n\n      for (let wC = 0; wC < filterWidth; ++wC) {\n        const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n        const yCMax = Math.min(\n            convInfo.outWidth, (convInfo.inWidth + leftPad - wC) / strideWidth);\n\n        for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n          const d1 = Math.trunc(d2 / chMul);\n          const dm = d2 % chMul;\n\n          let dotProd = 0;\n          for (let b = 0; b < convInfo.batchSize; ++b) {\n            for (let yR = yRMin; yR < yRMax; ++yR) {\n              const xR = wR + yR * strideHeight - topPad;\n              for (let yC = yCMin; yC < yCMax; ++yC) {\n                const xC = wC + yC * strideWidth - leftPad;\n                dotProd += xBuf.get(b, xR, xC, d1) * dyBuf.get(b, yR, yC, d2);\n              }\n            }\n          }\n          dW.set(dotProd, wR, wC, d1, dm);\n        }\n      }\n    }\n    return dW.toTensor();\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    assertNotComplex(x, 'tile');\n    return tile(this.bufferSync(x), reps) as T;\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    assertNotComplex(x, 'pad');\n\n    const outShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + x.shape[i] + p[1] /* afterPad */);\n    const start = paddings.map(p => p[0]);\n    const xBuffer = this.bufferSync(x);\n    const buffer = ops.buffer(outShape, x.dtype as 'float32');\n    if (constantValue !== 0) {\n      buffer.values.fill(constantValue);\n    }\n\n    for (let i = 0; i < x.size; i++) {\n      const coords = xBuffer.indexToLoc(i);\n      const outCoords = coords.map((c, i) => c + start[i]);\n      buffer.set(xBuffer.get(...coords), ...outCoords);\n    }\n    return buffer.toTensor() as T;\n  }\n\n  transpose<T extends Tensor>(x: T, perm: number[]): T {\n    assertNotComplex(x, 'transpose');\n\n    const newShape: number[] = new Array(x.rank);\n    for (let i = 0; i < newShape.length; i++) {\n      newShape[i] = x.shape[perm[i]];\n    }\n    const values = this.readSync(x.dataId) as TypedArray;\n    const result = buffer(newShape, x.dtype);\n\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < x.size; ++i) {\n      const loc = xBuf.indexToLoc(i);\n\n      // Permute location.\n      const newLoc: number[] = new Array(loc.length);\n      for (let i = 0; i < newLoc.length; i++) {\n        newLoc[i] = loc[perm[i]];\n      }\n\n      const newIndex = result.locToIndex(newLoc);\n      result.values[newIndex] = values[i];\n    }\n    return result.toTensor() as T;\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    assertNotComplex([x, indices], 'gather');\n\n    const newShape: number[] = x.shape.slice();\n    const indicesValues = this.readSync(indices.dataId) as TypedArray;\n    newShape[axis] = indicesValues.length;\n    const result = buffer(newShape, x.dtype);\n    const xBuf = this.bufferSync(x);\n\n    for (let i = 0; i < result.size; ++i) {\n      const newLoc = result.indexToLoc(i);\n\n      const originalLoc: number[] = newLoc.slice();\n      originalLoc[axis] = indicesValues[newLoc[axis]];\n\n      const originalIndex = xBuf.locToIndex(originalLoc);\n      result.values[i] = xBuf.values[originalIndex];\n    }\n    return result.toTensor() as T;\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    assertNotComplex([x], 'batchToSpaceND');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const reshaped = array_ops_util.getReshaped(x.shape, blockShape, prod);\n    const permuted =\n        array_ops_util.getPermuted(reshaped.length, blockShape.length);\n    const reshapedPermuted =\n        array_ops_util.getReshapedPermuted(x.shape, blockShape, prod);\n    const sliceBeginCoords =\n        array_ops_util.getSliceBeginCoords(crops, blockShape.length);\n    const sliceSize =\n        array_ops_util.getSliceSize(reshapedPermuted, crops, blockShape.length);\n\n    return x.reshape(reshaped)\n               .transpose(permuted)\n               .reshape(reshapedPermuted)\n               .slice(sliceBeginCoords, sliceSize) as T;\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: Array<[number, number]>): T {\n    assertNotComplex([x], 'spaceToBatchND');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const completePaddings: Array<[number, number]> = [[0, 0]];\n    completePaddings.push(...paddings);\n    for (let i = 1 + blockShape.length; i < x.shape.length; ++i) {\n      completePaddings.push([0, 0]);\n    }\n\n    const paddedX = x.pad(completePaddings);\n\n    const reshapedPaddedShape =\n        array_ops_util.getReshaped(paddedX.shape, blockShape, prod, false);\n    const permutedReshapedPaddedPermutation = array_ops_util.getPermuted(\n        reshapedPaddedShape.length, blockShape.length, false);\n    const flattenShape = array_ops_util.getReshapedPermuted(\n        paddedX.shape, blockShape, prod, false);\n\n    return paddedX.reshape(reshapedPaddedShape)\n               .transpose(permutedReshapedPaddedPermutation)\n               .reshape(flattenShape) as T;\n  }\n\n  private pool(x: Tensor4D, convInfo: Conv2DInfo, poolType: 'max'|'avg'):\n      Tensor4D {\n    assertNotComplex(x, 'pool');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const initialValue =\n        (poolType === 'max' ? Number.NEGATIVE_INFINITY :\n                              Number.POSITIVE_INFINITY);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = ops.buffer(convInfo.outShape, x.dtype);\n    const outputVals = output.values;\n\n    const outputBatchStrides =\n        convInfo.outShape[1] * convInfo.outShape[2] * convInfo.outShape[3];\n    const outputRowStrides = convInfo.outShape[2] * convInfo.outShape[3];\n    const outputColStrides = convInfo.outShape[3];\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const outputBatchOffset = b * outputBatchStrides;\n      const inputBatchOffset = b * x.strides[0];\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n          const xRCorner = yR * strideHeight - padTop;\n          const xRMin = Math.max(0, xRCorner);\n          const xRMax =\n              Math.min(convInfo.inHeight, effectiveFilterHeight + xRCorner);\n          const outputRowOffset = outputBatchOffset + yR * outputRowStrides;\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const xCCorner = yC * strideWidth - padLeft;\n            const xCMin = Math.max(0, xCCorner);\n            const xCMax =\n                Math.min(convInfo.inWidth, effectiveFilterWidth + xCCorner);\n            let minMaxValue = initialValue;\n            let avgValue = 0;\n            let count = 0;\n            for (let xR = xRMin; xR < xRMax; xR += dilationHeight) {\n              const xROffset = inputBatchOffset + xR * x.strides[1];\n              for (let xC = xCMin; xC < xCMax; xC += dilationWidth) {\n                const xCOffset = xROffset + xC * x.strides[2];\n                const pixel = xValues[xCOffset + d];\n                if ((poolType === 'max' && pixel > minMaxValue)) {\n                  minMaxValue = pixel;\n                } else if (poolType === 'avg') {\n                  avgValue += pixel;\n                  count++;\n                }\n              }\n              if (isNaN(minMaxValue)) {\n                break;\n              }\n            }\n            const outputOffset = outputRowOffset + yC * outputColStrides + d;\n            outputVals[outputOffset] =\n                poolType === 'avg' ? avgValue / count : minMaxValue;\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor4D;\n  }\n\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return this.pool(x, convInfo, 'max');\n  }\n\n  private maxPoolPositions(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const maxPositions = ops.buffer(convInfo.outShape, 'int32');\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const xBuf = this.bufferSync(x);\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n          const xRCorner = yR * strideHeight - padTop;\n          let xRMin = xRCorner;\n          while (xRMin < 0) {\n            xRMin += dilationHeight;\n          }\n          // const xRMin = Math.max(0, xRCorner);\n          const xRMax =\n              Math.min(convInfo.inHeight, effectiveFilterHeight + xRCorner);\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const xCCorner = yC * strideWidth - padLeft;\n            let xCMin = xCCorner;\n            while (xCMin < 0) {\n              xCMin += dilationWidth;\n            }\n            const xCMax =\n                Math.min(convInfo.inWidth, effectiveFilterWidth + xCCorner);\n            let maxValue = Number.NEGATIVE_INFINITY;\n            let maxPosition = -1;\n\n            for (let xR = xRMin; xR < xRMax; xR += dilationHeight) {\n              const wR = xR - xRCorner;\n              for (let xC = xCMin; xC < xCMax; xC += dilationWidth) {\n                const wC = xC - xCCorner;\n                const pixel = xBuf.get(b, xR, xC, d);\n                if (pixel > maxValue) {\n                  maxValue = pixel;\n                  maxPosition = wR * effectiveFilterWidth + wC;\n                }\n              }\n            }\n            maxPositions.set(maxPosition, b, yR, yC, d);\n          }\n        }\n      }\n    }\n    return maxPositions.toTensor() as Tensor4D;\n  }\n\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, y], 'maxPoolBackprop');\n\n    const maxPositions = this.maxPoolPositions(x, convInfo);\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R4>(x.shape, 'float32');\n\n    const maxPosBuf = this.bufferSync(maxPositions);\n    const dyBuf = this.bufferSync(dy);\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {\n          for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {\n            // Shader code begins.\n            const dyRCorner = dxR - padTop;\n            const dyCCorner = dxC - padLeft;\n            let dotProd = 0;\n            for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {\n              const dyR = (dyRCorner + wR) / strideHeight;\n              if (dyR < 0 || dyR >= convInfo.outHeight ||\n                  Math.floor(dyR) !== dyR) {\n                continue;\n              }\n              for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {\n                const dyC = (dyCCorner + wC) / strideWidth;\n                if (dyC < 0 || dyC >= convInfo.outWidth ||\n                    Math.floor(dyC) !== dyC) {\n                  continue;\n                }\n                const maxPos = effectiveFilterHeight * effectiveFilterWidth -\n                    1 - maxPosBuf.get(b, dyR, dyC, d);\n                const curPos = wR * effectiveFilterWidth + wC;\n\n                const mask = maxPos === curPos ? 1 : 0;\n                if (mask === 0) {\n                  continue;\n                }\n\n                const pixel = dyBuf.get(b, dyR, dyC, d);\n                dotProd += pixel * mask;\n              }\n            }\n            dx.set(dotProd, b, dxR, dxC, d);\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([dy, x], 'avgPoolBackprop');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R4>(x.shape, 'float32');\n\n    const avgMultiplier = 1 / (filterHeight * filterWidth);\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {\n          for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {\n            // Shader code begins.\n            const dyRCorner = dxR - padTop;\n            const dyCCorner = dxC - padLeft;\n            let dotProd = 0;\n            for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {\n              const dyR = (dyRCorner + wR) / strideHeight;\n              if (dyR < 0 || dyR >= convInfo.outHeight ||\n                  Math.floor(dyR) !== dyR) {\n                continue;\n              }\n              for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {\n                const dyC = (dyCCorner + wC) / strideWidth;\n                if (dyC < 0 || dyC >= convInfo.outWidth ||\n                    Math.floor(dyC) !== dyC) {\n                  continue;\n                }\n\n                const pixel = dyBuf.get(b, dyR, dyC, d);\n                dotProd += pixel;\n              }\n            }\n            dx.set(dotProd * avgMultiplier, b, dxR, dxC, d);\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  private pool3d(x: Tensor5D, convInfo: Conv3DInfo, poolType: 'max'|'avg'):\n      Tensor5D {\n    assertNotComplex(x, 'pool3d');\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const initialValue =\n        (poolType === 'max' ? Number.NEGATIVE_INFINITY :\n                              Number.POSITIVE_INFINITY);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = ops.buffer(convInfo.outShape, x.dtype);\n    const outputVals = output.values;\n\n    const outputBatchStrides = convInfo.outShape[1] * convInfo.outShape[2] *\n        convInfo.outShape[3] * convInfo.outShape[4];\n    const outputDepthStrides =\n        convInfo.outShape[2] * convInfo.outShape[3] * convInfo.outShape[4];\n    const outputRowStrides = convInfo.outShape[3] * convInfo.outShape[4];\n    const outputColStrides = convInfo.outShape[4];\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      const outputBatchOffset = batch * outputBatchStrides;\n      const inputBatchOffset = batch * x.strides[0];\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let yDepth = 0; yDepth < convInfo.outDepth; ++yDepth) {\n          const xDepthCorner = yDepth * strideDepth - padFront;\n          let xDepthMin = xDepthCorner;\n          while (xDepthMin < 0) {\n            xDepthMin += dilationDepth;\n          }\n          const xDepthMax =\n              Math.min(convInfo.inDepth, effectiveFilterDepth + xDepthCorner);\n          const outputDepthOffset =\n              outputBatchOffset + yDepth * outputDepthStrides;\n          for (let yRow = 0; yRow < convInfo.outHeight; ++yRow) {\n            const xRowCorner = yRow * strideHeight - padTop;\n            let xRowMin = xRowCorner;\n            while (xRowMin < 0) {\n              xRowMin += dilationHeight;\n            }\n            const xRowMax =\n                Math.min(convInfo.inHeight, effectiveFilterHeight + xRowCorner);\n            const outputRowOffset = outputDepthOffset + yRow * outputRowStrides;\n            for (let yCol = 0; yCol < convInfo.outWidth; ++yCol) {\n              const xColCorner = yCol * strideWidth - padLeft;\n              let xColMin = xColCorner;\n              while (xColMin < 0) {\n                xColMin += dilationWidth;\n              }\n              const xColMax =\n                  Math.min(convInfo.inWidth, effectiveFilterWidth + xColCorner);\n              // Shader code begins\n              const outputColOffset = outputRowOffset + yCol * outputColStrides;\n              let minMaxValue = initialValue;\n              let avgValue = 0;\n              let count = 0;\n              for (let xDepth = xDepthMin; xDepth < xDepthMax;\n                   xDepth += dilationDepth) {\n                const xDepthOffset = inputBatchOffset + xDepth * x.strides[1];\n                for (let xRow = xRowMin; xRow < xRowMax;\n                     xRow += dilationHeight) {\n                  const xRowOffset = xDepthOffset + xRow * x.strides[2];\n                  for (let xCol = xColMin; xCol < xColMax;\n                       xCol += dilationWidth) {\n                    const xColOffset = xRowOffset + xCol * x.strides[3];\n                    const pixel = xValues[xColOffset + channel];\n                    if ((poolType === 'max' && pixel > minMaxValue)) {\n                      minMaxValue = pixel;\n                    } else if (poolType === 'avg') {\n                      avgValue += pixel;\n                      count++;\n                    }\n                    if (isNaN(minMaxValue)) {\n                      break;\n                    }\n                  }\n                  if (isNaN(minMaxValue)) {\n                    break;\n                  }\n                }\n                if (isNaN(minMaxValue)) {\n                  break;\n                }\n              }\n              const outputOffset = outputColOffset + channel;\n              outputVals[outputOffset] =\n                  poolType === 'avg' ? avgValue / count : minMaxValue;\n            }\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor5D;\n  }\n\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex(x, 'avgPool3d');\n\n    return this.pool3d(x, convInfo, 'avg').toFloat();\n  }\n\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex([dy, x], 'avgPool3dBackprop');\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R5>(x.shape, 'float32');\n\n    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {\n          for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {\n            for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {\n              // Shader code begins.\n              const dyDepthCorner = dxDepth - padFront;\n              const dyRowCorner = dxRow - padTop;\n              const dyColCorner = dxCol - padLeft;\n              let dotProd = 0;\n              for (let wDepth = 0; wDepth < effectiveFilterDepth;\n                   wDepth += dilationDepth) {\n                const dyDepth = (dyDepthCorner + wDepth) / strideDepth;\n                if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||\n                    Math.floor(dyDepth) !== dyDepth) {\n                  continue;\n                }\n                for (let wRow = 0; wRow < effectiveFilterHeight;\n                     wRow += dilationHeight) {\n                  const dyRow = (dyRowCorner + wRow) / strideHeight;\n                  if (dyRow < 0 || dyRow >= convInfo.outHeight ||\n                      Math.floor(dyRow) !== dyRow) {\n                    continue;\n                  }\n                  for (let wCol = 0; wCol < effectiveFilterWidth;\n                       wCol += dilationWidth) {\n                    const dyCol = (dyColCorner + wCol) / strideWidth;\n                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||\n                        Math.floor(dyCol) !== dyCol) {\n                      continue;\n                    }\n\n                    const pixel =\n                        dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    dotProd += pixel;\n                  }\n                }\n              }\n              dx.set(\n                  dotProd * avgMultiplier, batch, dxDepth, dxRow, dxCol,\n                  channel);\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex(x, 'maxPool3d');\n\n    return this.pool3d(x, convInfo, 'max').toFloat();\n  }\n\n  private maxPool3dPositions(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const maxPositions = ops.buffer(convInfo.outShape, 'int32');\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const xBuf = this.bufferSync(x);\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let yDepth = 0; yDepth < convInfo.outDepth; ++yDepth) {\n          const xDepthCorner = yDepth * strideDepth - padFront;\n          let xDepthMin = xDepthCorner;\n          while (xDepthMin < 0) {\n            xDepthMin += dilationDepth;\n          }\n          const xDepthMax =\n              Math.min(convInfo.inDepth, effectiveFilterDepth + xDepthCorner);\n          for (let yRow = 0; yRow < convInfo.outHeight; ++yRow) {\n            const xRowCorner = yRow * strideHeight - padTop;\n            let xRowMin = xRowCorner;\n            while (xRowMin < 0) {\n              xRowMin += dilationHeight;\n            }\n            const xRowMax =\n                Math.min(convInfo.inHeight, effectiveFilterHeight + xRowCorner);\n            for (let yCol = 0; yCol < convInfo.outWidth; ++yCol) {\n              const xColCorner = yCol * strideWidth - padLeft;\n              let xColMin = xColCorner;\n              while (xColMin < 0) {\n                xColMin += dilationWidth;\n              }\n              const xColMax =\n                  Math.min(convInfo.inWidth, effectiveFilterWidth + xColCorner);\n\n              // Shader code begins\n              let maxValue = Number.NEGATIVE_INFINITY;\n              let maxPosition = -1;\n\n              for (let xDepth = xDepthMin; xDepth < xDepthMax;\n                   xDepth += dilationDepth) {\n                const wDepth = xDepth - xDepthCorner;\n                for (let xRow = xRowMin; xRow < xRowMax;\n                     xRow += dilationHeight) {\n                  const wRow = xRow - xRowCorner;\n                  for (let xCol = xColMin; xCol < xColMax;\n                       xCol += dilationWidth) {\n                    const wCol = xCol - xColCorner;\n                    const pixel = xBuf.get(batch, xDepth, xRow, xCol, channel);\n                    if (pixel >= maxValue) {\n                      maxValue = pixel;\n                      maxPosition = wDepth * effectiveFilterHeight *\n                              effectiveFilterWidth +\n                          wRow * effectiveFilterHeight + wCol;\n                    }\n                  }\n                }\n              }\n\n              maxPositions.set(maxPosition, batch, yDepth, yRow, yCol, channel);\n            }\n          }\n        }\n      }\n    }\n    return maxPositions.toTensor() as Tensor5D;\n  }\n\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex([x, y], 'maxPool3dBackprop');\n\n    const maxPositions = this.maxPool3dPositions(x, convInfo);\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R5>(x.shape, 'float32');\n\n    const maxPosBuf = this.bufferSync(maxPositions);\n    const dyBuf = this.bufferSync(dy);\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {\n          for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {\n            for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {\n              // Shader code begins\n              const dyDepthCorner = dxDepth - padFront;\n              const dyRowCorner = dxRow - padTop;\n              const dyColCorner = dxCol - padLeft;\n              let dotProd = 0;\n              for (let wDepth = 0; wDepth < effectiveFilterDepth;\n                   wDepth += dilationDepth) {\n                const dyDepth = (dyDepthCorner + wDepth) / strideDepth;\n                if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||\n                    Math.floor(dyDepth) !== dyDepth) {\n                  continue;\n                }\n                for (let wRow = 0; wRow < effectiveFilterHeight;\n                     wRow += dilationHeight) {\n                  const dyRow = (dyRowCorner + wRow) / strideHeight;\n                  if (dyRow < 0 || dyRow >= convInfo.outHeight ||\n                      Math.floor(dyRow) !== dyRow) {\n                    continue;\n                  }\n                  for (let wCol = 0; wCol < effectiveFilterWidth;\n                       wCol += dilationWidth) {\n                    const dyCol = (dyColCorner + wCol) / strideWidth;\n                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||\n                        Math.floor(dyCol) !== dyCol) {\n                      continue;\n                    }\n\n                    const maxPos = effectiveFilterDepth *\n                            effectiveFilterHeight * effectiveFilterWidth -\n                        1 -\n                        maxPosBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    const curPos =\n                        wDepth * effectiveFilterHeight * effectiveFilterWidth +\n                        wRow * effectiveFilterWidth + wCol;\n\n                    const mask = maxPos === curPos ? 1 : 0;\n                    if (mask === 0) {\n                      continue;\n                    }\n\n                    const pixel =\n                        dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    dotProd += pixel * mask;\n                  }\n                }\n              }\n              dx.set(dotProd, batch, dxDepth, dxRow, dxCol, channel);\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return backend_util.castTensor(x, dtype, this);\n  }\n\n  reshape<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    return backend_util.reshapeTensor(x, shape);\n  }\n\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex(x, 'avgPool');\n\n    return this.pool(x, convInfo, 'avg').toFloat();\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    assertNotComplex(x, 'resizeBilinear');\n\n    const [batch, oldHeight, oldWidth, numChannels] = x.shape;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const result = new Float32Array(\n        util.sizeFromShape([batch, newHeight, newWidth, numChannels]));\n\n    const effectiveInputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n    let outputIdx = 0;\n    const effectiveRowSizeRatio =\n        effectiveInputSize[0] / effectiveOutputSize[0];\n    const effectiveColSizeRatio =\n        effectiveInputSize[1] / effectiveOutputSize[1];\n    for (let b = 0; b < batch; b++) {\n      for (let r = 0; r < newHeight; r++) {\n        const sourceFracRow = effectiveRowSizeRatio * r;\n        const sourceRowFloor = Math.floor(sourceFracRow);\n        const rowFrac = sourceFracRow - sourceRowFloor;\n        const sourceRowCeil = Math.min(oldHeight - 1, Math.ceil(sourceFracRow));\n        const topRowOffset = b * x.strides[0] + sourceRowFloor * x.strides[1];\n        const botRowOffset = b * x.strides[0] + sourceRowCeil * x.strides[1];\n        for (let c = 0; c < newWidth; c++) {\n          const sourceFracCol = effectiveColSizeRatio * c;\n          const sourceColFloor = Math.floor(sourceFracCol);\n          const colFrac = sourceFracCol - sourceColFloor;\n          const sourceColCeil =\n              Math.min(oldWidth - 1, Math.ceil(sourceFracCol));\n          const topLeftOffest = topRowOffset + sourceColFloor * x.strides[2];\n          const botLeftOffset = botRowOffset + sourceColFloor * x.strides[2];\n          const topRightOffset = topRowOffset + sourceColCeil * x.strides[2];\n          const botRightOffest = botRowOffset + sourceColCeil * x.strides[2];\n          for (let d = 0; d < numChannels; d++) {\n            // Begin shader.\n\n            // Compute the fractional index of the source.\n            const topLeft = xValues[topLeftOffest + d];\n            const bottomLeft = xValues[botLeftOffset + d];\n            const topRight = xValues[topRightOffset + d];\n            const bottomRight = xValues[botRightOffest + d];\n\n            const top = topLeft + (topRight - topLeft) * colFrac;\n            const bottom = bottomLeft + (bottomRight - bottomLeft) * colFrac;\n            const newValue = top + (bottom - top) * rowFrac;\n\n            result[outputIdx++] = newValue;\n          }\n        }\n      }\n    }\n    return ops.tensor(result, [batch, newHeight, newWidth, numChannels]);\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    assertNotComplex([dy, x], 'resizeBilinearBackprop');\n\n    const [batch, xHeight, xWidth, depth] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    const output = new Float32Array(batch * xHeight * xWidth * depth);\n\n    // In the backwards pass, we want to find the pixels that were generated\n    // for each pixel in the input image the forward pass and add the\n    // corresponding coefficient from dy to the gradient (with some\n    // interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/3039375c86a5bbc9610c7725dcaa95d635f87ba2/tensorflow/core/kernels/resize_bilinear_op.cc#L275\n\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    let offset = 0;\n    for (let b = 0; b < batch; b++) {\n      const bOffset = b * x.strides[0];\n      for (let r = 0; r < yHeight; r++) {\n        const dxR = r * heightScale;\n        const topDxRIndex = Math.floor(dxR);\n        const bottomDxRIndex = Math.min(Math.ceil(dxR), xHeight - 1);\n\n        const topDxROffset = bOffset + topDxRIndex * x.strides[1];\n        const bottomDxROffset = bOffset + bottomDxRIndex * x.strides[1];\n\n        const dxRLerp = dxR - topDxRIndex;\n        const inverseDxRLerp = 1.0 - dxRLerp;\n        for (let c = 0; c < yWidth; c++) {\n          const dxC = c * widthScale;\n          const leftDxCIndex = Math.floor(dxC);\n          const rightDxCIndex = Math.min(Math.ceil(dxC), xWidth - 1);\n          const dxCLerp = dxC - leftDxCIndex;\n          const inverseDxCLerp = 1.0 - dxCLerp;\n\n          const topLeftRCOffset = topDxROffset + leftDxCIndex * x.strides[2];\n          const topRightRCOffset = topDxROffset + rightDxCIndex * x.strides[2];\n          const bottomLeftRCOffset =\n              bottomDxROffset + leftDxCIndex * x.strides[2];\n          const bottomRightRCOffset =\n              bottomDxROffset + rightDxCIndex * x.strides[2];\n\n          const inverseDxRLerpTimesInverseDxCLerp =\n              inverseDxRLerp * inverseDxCLerp;\n          const inverseDxRLerpTimesDxCLerp = inverseDxRLerp * dxCLerp;\n          const dxRLerpTimesInverseDxCLerp = dxRLerp * inverseDxCLerp;\n          const dxRLerpTimesDxCLerp = dxRLerp * dxCLerp;\n          for (let d = 0; d < depth; d++) {\n            const dyVal = dyValues[offset++];\n            output[topLeftRCOffset + d] +=\n                dyVal * inverseDxRLerpTimesInverseDxCLerp;\n            output[topRightRCOffset + d] += dyVal * inverseDxRLerpTimesDxCLerp;\n            output[bottomLeftRCOffset + d] +=\n                dyVal * dxRLerpTimesInverseDxCLerp;\n            output[bottomRightRCOffset + d] += dyVal * dxRLerpTimesDxCLerp;\n          }\n        }\n      }\n    }\n    return ops.tensor4d(output, [batch, xWidth, xHeight, depth], x.dtype);\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    assertNotComplex(x, 'resizeNearestNeighbor');\n\n    const [batch, oldHeight, oldWidth, numChannels] = x.shape;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = new Float32Array(batch * newHeight * newWidth * numChannels);\n\n    const effectiveInputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    const effectiveRowSizeRatio =\n        effectiveInputSize[0] / effectiveOutputSize[0];\n    const effectiveColSizeRatio =\n        effectiveInputSize[1] / effectiveOutputSize[1];\n\n    let outputOffset = 0;\n    for (let b = 0; b < batch; b++) {\n      const batchOffset = b * x.strides[0];\n      for (let r = 0; r < newHeight; r++) {\n        const sourceFracRow = effectiveRowSizeRatio * r;\n        const sourceNearestRow = Math.min(\n            oldHeight - 1,\n            alignCorners ? Math.round(sourceFracRow) :\n                           Math.floor(sourceFracRow));\n        const rowOffset = batchOffset + sourceNearestRow * x.strides[1];\n        for (let c = 0; c < newWidth; c++) {\n          const sourceFracCol = effectiveColSizeRatio * c;\n          const sourceNearestCol = Math.min(\n              oldWidth - 1,\n              alignCorners ? Math.round(sourceFracCol) :\n                             Math.floor(sourceFracCol));\n          const colOffset = rowOffset + sourceNearestCol * x.strides[2];\n          for (let d = 0; d < numChannels; d++) {\n            // Begin shader.\n            // Compute the fractional index of the source.\n            const newVal = xValues[colOffset + d];\n            output[outputOffset++] = newVal;\n          }\n        }\n      }\n    }\n    return ops.tensor(\n        output, [batch, newHeight, newWidth, numChannels], x.dtype);\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    assertNotComplex([dy, x], 'resizeNearestNeighborBackprop');\n\n    const [batch, xHeight, xWidth, depth] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    const output = new Float32Array(batch * xHeight * xWidth * depth);\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n\n    // In the backwards pass, we want to find the pixels that were generated\n    // for each pixel in the input image the forward pass\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    // Loop over the output space.\n    for (let b = 0; b < batch; b++) {\n      const batchOffset = b * x.strides[0];\n      for (let r = 0; r < xHeight; r++) {\n        const rowOffset = batchOffset + r * x.strides[1];\n\n        // Compute bounds for where in dy we will look\n        const startRLerp = Math.floor(r * invHeightScale);\n        const startDyR = Math.floor(startRLerp - (winHeight / 2));\n        for (let c = 0; c < xWidth; c++) {\n          const colOffset = rowOffset + c * x.strides[2];\n\n          // Compute bounds for where in dy we will look\n          const startCLerp = Math.floor(c * invWidthScale);\n          const startDyC = Math.floor(startCLerp - (winWidth / 2));\n\n          for (let d = 0; d < depth; d++) {\n            let accum = 0;\n            // loop over dy\n\n            for (let dyRIndex = 0; dyRIndex < winHeight; dyRIndex++) {\n              const dyR = dyRIndex + startDyR;\n              // Guard against the window exceeding the bounds of dy\n              if (dyR < 0 || dyR >= yHeight) {\n                continue;\n              }\n\n              const dyROffset = batchOffset + dyR * dy.strides[1];\n              const sourceFracRow = dyR * heightScale;\n              const sourceNearestRow = Math.min(\n                  xHeight - 1,\n                  alignCorners ? Math.round(sourceFracRow) :\n                                 Math.floor(sourceFracRow));\n              if (r !== sourceNearestRow) {\n                continue;\n              }\n              for (let dyCIndex = 0; dyCIndex < winWidth; dyCIndex++) {\n                const dyC = dyCIndex + startDyC;\n                // Guard against the window exceeding the bounds of dy\n                if (dyC < 0 || dyC >= yWidth) {\n                  continue;\n                }\n\n                const dyCOffset = dyROffset + dyC * dy.strides[2];\n                const sourceFracCol = dyC * widthScale;\n                const sourceNearestCol = Math.min(\n                    xWidth - 1,\n                    alignCorners ? Math.round(sourceFracCol) :\n                                   Math.floor(sourceFracCol));\n\n                if (c === sourceNearestCol) {\n                  accum += dyValues[dyCOffset + d];\n                }\n              }\n            }\n            output[colOffset + d] = accum;\n          }\n        }\n      }\n    }\n    return ops.tensor4d(output, x.shape, x.dtype);\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    assertNotComplex([x, mean, variance, scale, offset], 'batchNorm');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const mVals = this.readSync(mean.dataId) as TypedArray;\n    const varVals = this.readSync(variance.dataId) as TypedArray;\n    const sVals = scale ? this.readSync(scale.dataId) as TypedArray :\n                          new Float32Array([1]);\n    const offVals = offset ? this.readSync(offset.dataId) as TypedArray :\n                             new Float32Array([0]);\n    const outVals = new Float32Array(xVals.length);\n\n    const offValsLength = offVals.length;\n    const sValsLength = sVals.length;\n    const varValsLength = varVals.length;\n    const mValsLength = mVals.length;\n\n    let offi = 0;\n    let mi = 0;\n    let si = 0;\n    let vi = 0;\n    for (let i = 0; i < xVals.length; ++i) {\n      outVals[i] = offVals[offi++] +\n          (xVals[i] - mVals[mi++]) * sVals[si++] /\n              Math.sqrt(varVals[vi++] + varianceEpsilon);\n      if (offi >= offValsLength) {\n        offi = 0;\n      }\n      if (mi >= mValsLength) {\n        mi = 0;\n      }\n      if (si >= sValsLength) {\n        si = 0;\n      }\n      if (vi >= varValsLength) {\n        vi = 0;\n      }\n    }\n    return tensor4d(outVals, x.shape);\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    assertNotComplex(x, 'localResponseNormalization4D');\n\n    const channels = x.shape[3];\n    const maxD = channels - 1;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const size = x.size;\n    const result = new Float32Array(size);\n\n    function sumAcrossChannels(offset: number) {\n      const currentChannel = offset % channels;\n      let beginSumOffset =\n          offset - currentChannel + Math.max(0, currentChannel - depthRadius);\n      const endSumOffset = offset - currentChannel +\n          Math.min(currentChannel + depthRadius, maxD);\n\n      let sum = 0.0;\n      for (; beginSumOffset <= endSumOffset; beginSumOffset++) {\n        const z = xValues[beginSumOffset];\n        sum += z * z;\n      }\n      return sum;\n    }\n\n    for (let offset = 0; offset < size; offset++) {\n      const sum = sumAcrossChannels(offset);\n      const val = xValues[offset] * Math.pow(bias + alpha * sum, -beta);\n      result[offset] = val;\n    }\n\n    return ops.tensor4d(result, x.shape);\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D,\n      depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    assertNotComplex(dy, 'LRNGrad');\n    const channels = dy.shape[3];\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const inputImageValues = this.readSync(inputImage.dataId) as TypedArray;\n    const outputImageValues = this.readSync(outputImage.dataId) as TypedArray;\n    const result = new Float32Array(dy.size);\n    const size = dy.size;\n\n    for (let offset = 0; offset < size; offset++) {\n      const currentChannel = offset % channels;\n      const depthBegin =\n          (offset - currentChannel) + Math.max(0, currentChannel - depthRadius);\n      const depthEnd = (offset - currentChannel) +\n          Math.min(channels, currentChannel + depthRadius + 1);\n\n      let norm = 0;\n      for (let k = depthBegin; k < depthEnd; k++) {\n        norm += Math.pow(inputImageValues[k], 2);\n      }\n      norm = alpha * norm + bias;\n\n      for (let k = depthBegin; k < depthEnd; k++) {\n        let dyi = -2 * alpha * beta * inputImageValues[k] *\n            outputImageValues[offset] / norm;\n        if (offset === k) {\n          dyi += Math.pow(norm, -beta);\n        }\n        dyi *= dyValues[offset];\n        result[k] += dyi;\n      }\n    }\n    return ops.tensor4d(result, dy.shape);\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    assertNotComplex(logits, 'multinomial');\n\n    const probabilities = normalized ? logits : ops.softmax(logits);\n    const batchSize = probabilities.shape[0];\n    const numEvents = probabilities.shape[1];\n    const res = ops.zeros<Rank.R2>([batchSize, numSamples], 'int32');\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const probVals = this.readSync(probabilities.dataId) as TypedArray;\n\n    for (let b = 0; b < batchSize; ++b) {\n      const offset = b * numEvents;\n      // The cdf won't include the last event. It will be implicit if no other\n      // event happened.\n      const cdf = new Float32Array(numEvents - 1);\n      cdf[0] = probVals[offset];\n      for (let event = 1; event < cdf.length; ++event) {\n        cdf[event] = cdf[event - 1] + probVals[offset + event];\n      }\n\n      const random = seedrandom.alea(seed.toString());\n      const outOffset = b * numSamples;\n      for (let sampleId = 0; sampleId < numSamples; ++sampleId) {\n        const r = random();\n\n        // Assume last event happened by default.\n        resVals[outOffset + sampleId] = cdf.length;\n\n        for (let event = 0; event < cdf.length; event++) {\n          if (r < cdf[event]) {\n            resVals[outOffset + sampleId] = event;\n            break;\n          }\n        }\n      }\n    }\n    return res;\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    assertNotComplex(indices, 'oneHot');\n\n    const res = new Float32Array(indices.size * depth);\n    res.fill(offValue);\n    const indicesVal = this.readSync(indices.dataId) as TypedArray;\n\n    for (let event = 0; event < indices.size; ++event) {\n      if (indicesVal[event] >= 0 && indicesVal[event] < depth) {\n        res[event * depth + indicesVal[event]] = onValue;\n      }\n    }\n    return ops.tensor2d(res, [indices.size, depth], 'int32');\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold: number): Tensor1D {\n    assertNotComplex(boxes, 'nonMaxSuppression');\n\n    const boxesVals = this.readSync(boxes.dataId) as TypedArray;\n    const scoresVals = this.readSync(scores.dataId) as TypedArray;\n    return nonMaxSuppressionV3(\n        boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    return this.fftBatch(x, false);\n  }\n\n  ifft(x: Tensor2D): Tensor2D {\n    return this.fftBatch(x, true);\n  }\n\n  /**\n   * Calculate FFT of inner most elements of batch tensor.\n   */\n  private fftBatch(x: Tensor2D, inverse: boolean): Tensor2D {\n    const batch = x.shape[0];\n    const innerDim = x.shape[1];\n    // Collects real and imaginary values separately.\n    const realResult = ops.buffer(x.shape, 'float32');\n    const imagResult = ops.buffer(x.shape, 'float32');\n\n    const real = ops.real(x).as2D(batch, innerDim);\n    const imag = ops.imag(x).as2D(batch, innerDim);\n\n    for (let b = 0; b < batch; b++) {\n      // TODO: Support slice ops for complex type.\n      const r = real.slice([b, 0], [1, innerDim]);\n      const i = imag.slice([b, 0], [1, innerDim]);\n      const input = ops.complex(r, i);\n      // Run FFT by batch element.\n      const res =\n          this.readSync(this.fftImpl(input, inverse).dataId) as Float32Array;\n      for (let d = 0; d < innerDim; d++) {\n        const c = complex_util.getComplexWithIndex(res, d);\n        realResult.values[b * innerDim + d] = c.real;\n        imagResult.values[b * innerDim + d] = c.imag;\n      }\n    }\n\n    const t = ops.complex(realResult.toTensor(), imagResult.toTensor());\n    return t.as2D(batch, innerDim);\n  }\n\n  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {\n    const x1D = x.as1D();\n\n    const n = x1D.size;\n\n    if (this.isExponentOf2(n)) {\n      let result = this.fftRadix2(x1D, n, inverse).as2D(x.shape[0], x.shape[1]);\n      if (inverse) {\n        result = ops.complex(\n                     ops.real(result).div(scalar(n)),\n                     ops.imag(result).div(scalar(n))) as Tensor2D;\n      }\n      return result;\n    } else {\n      const data = this.readSync(x.dataId) as TypedArray;\n      const rawOutput =\n          this.fourierTransformByMatmul(data, n, inverse) as Float32Array;\n      const output = complex_util.splitRealAndImagArrays(rawOutput);\n      return ops.complex(output.real, output.imag).as2D(x.shape[0], x.shape[1]);\n    }\n  }\n\n  private isExponentOf2(size: number): boolean {\n    return (size & size - 1) === 0;\n  }\n\n  // FFT using Cooley-Tukey algorithm on radix 2 dimensional input.\n  private fftRadix2(input: Tensor1D, size: number, inverse: boolean): Tensor1D {\n    if (size === 1) {\n      return input;\n    }\n    const data = this.readSync(input.dataId) as TypedArray as Float32Array;\n    const half = size / 2;\n    const evenComplex = complex_util.complexWithEvenIndex(data);\n    let evenTensor = ops.complex(evenComplex.real, evenComplex.imag).as1D();\n    const oddComplex = complex_util.complexWithOddIndex(data);\n    let oddTensor = ops.complex(oddComplex.real, oddComplex.imag).as1D();\n\n    // Recursive call for half part of original input.\n    evenTensor = this.fftRadix2(evenTensor, half, inverse);\n    oddTensor = this.fftRadix2(oddTensor, half, inverse);\n\n    const e = complex_util.exponents(size, inverse);\n    const exponent = ops.complex(e.real, e.imag).mul(oddTensor);\n\n    const addPart = evenTensor.add(exponent);\n    const subPart = evenTensor.sub(exponent);\n\n    const realTensor = ops.real(addPart).concat(ops.real(subPart));\n    const imagTensor = ops.imag(addPart).concat(ops.imag(subPart));\n\n    return ops.complex(realTensor, imagTensor).as1D();\n  }\n\n  // Calculate fourier transform by multplying sinusoid matrix.\n  private fourierTransformByMatmul(\n      data: TypedArray, size: number, inverse: boolean): TypedArray {\n    const ret = new Float32Array(size * 2);\n    // TODO: Use matmul instead once it supports complex64 type.\n    for (let r = 0; r < size; r++) {\n      let real = 0.0;\n      let imag = 0.0;\n      for (let c = 0; c < size; c++) {\n        const e = complex_util.exponent(r * c, size, inverse);\n        const term = complex_util.getComplexWithIndex(data as Float32Array, c);\n        real += term.real * e.real - term.imag * e.imag;\n        imag += term.real * e.imag + term.imag * e.real;\n      }\n      if (inverse) {\n        real /= size;\n        imag /= size;\n      }\n      complex_util.assignToTypedArray(ret, real, imag, r);\n    }\n    return ret;\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    util.assert(\n        dataFormat === 'NHWC',\n        () => `Only NHWC dataFormat supported on CPU for depthToSpace. Got ${\n            dataFormat}`);\n    util.assert(\n        blockSize > 1,\n        () =>\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n    const batchSize = x.shape[0];\n    const inputHeight = x.shape[1];\n    const inputWidth = x.shape[2];\n    const inputDepth = x.shape[3];\n\n    const outputHeight = inputHeight * blockSize;\n    const outputWidth = inputWidth * blockSize;\n    const outputDepth = inputDepth / (blockSize * blockSize);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const result =\n        new Float32Array(batchSize * outputHeight * outputWidth * outputDepth);\n\n    let outputIdx = 0;\n    for (let b = 0; b < batchSize; ++b) {\n      for (let h = 0; h < outputHeight; ++h) {\n        const inH = Math.floor(h / blockSize);\n        const offsetH = (h % blockSize);\n        for (let w = 0; w < outputWidth; ++w) {\n          const inW = Math.floor(w / blockSize);\n          const offsetW = (w % blockSize);\n          const offsetD = (offsetH * blockSize + offsetW) * outputDepth;\n          for (let d = 0; d < outputDepth; ++d) {\n            const inD = d + offsetD;\n            const inputIdx =\n                inD + inputDepth * (inW + inputWidth * (inH + inputHeight * b));\n            result[outputIdx++] = xValues[inputIdx];\n          }\n        }\n      }\n    }\n    return ops.tensor4d(\n        result, [batchSize, outputHeight, outputWidth, outputDepth]);\n  }\n\n  private broadcastedBinaryOp(\n      a: Tensor, b: Tensor, dtype: DataType,\n      op: (a: number, b: number) => number): Tensor {\n    const newShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const result = ops.buffer(newShape, dtype);\n    const aVals = this.readSync(a.dataId) as TypedArray;\n    const bVals = this.readSync(b.dataId) as TypedArray;\n    const aBroadcastDims = broadcast_util.getBroadcastDims(a.shape, newShape);\n    const bBroadcastDims = broadcast_util.getBroadcastDims(b.shape, newShape);\n\n    const resVals = result.values;\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < resVals.length; ++i) {\n        resVals[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);\n      }\n    } else {\n      const aBuf = this.bufferSync(a);\n      const bBuf = this.bufferSync(b);\n      for (let i = 0; i < resVals.length; ++i) {\n        const loc = result.indexToLoc(i);\n\n        const aLoc = loc.slice(-a.rank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = aBuf.locToIndex(aLoc);\n\n        const bLoc = loc.slice(-b.rank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = bBuf.locToIndex(bLoc);\n\n        resVals[i] = op(aVals[aIndex], bVals[bIndex]);\n      }\n    }\n    return result.toTensor();\n  }\n\n  private broadcastedBinaryComplexOp(\n      a: Tensor, b: Tensor,\n      op:\n          (aReal: number, aImag: number, bReal: number,\n           bImag: number) => {real: number, imag: number}): Tensor {\n    const newShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const realResult = ops.buffer(newShape, 'float32');\n    const imagResult = ops.buffer(newShape, 'float32');\n\n    const aVals = this.readSync(a.dataId) as TypedArray;\n    const bVals = this.readSync(b.dataId) as TypedArray;\n    const aBroadcastDims = broadcast_util.getBroadcastDims(a.shape, newShape);\n    const bBroadcastDims = broadcast_util.getBroadcastDims(b.shape, newShape);\n\n    const realVals = realResult.values;\n    const imagVals = imagResult.values;\n\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < realVals.length; i++) {\n        const aIdx = i % aVals.length;\n        const bIdx = i % bVals.length;\n\n        const result =\n            op(aVals[aIdx * 2], aVals[aIdx * 2 + 1], bVals[bIdx * 2],\n               bVals[bIdx * 2 + 1]);\n\n        realVals[i] = result.real;\n        imagVals[i] = result.imag;\n      }\n    } else {\n      const aRealBuf =\n          this.bufferSync(this.data.get(a.dataId).complexTensors.real);\n      const bRealBuf =\n          this.bufferSync(this.data.get(b.dataId).complexTensors.real);\n      for (let i = 0; i < realVals.length; i++) {\n        const loc = realResult.indexToLoc(i);\n\n        const aLoc = loc.slice(-a.rank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = aRealBuf.locToIndex(aLoc);\n\n        const bLoc = loc.slice(-b.rank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = bRealBuf.locToIndex(bLoc);\n\n        const opResult =\n            op(aVals[aIndex * 2], aVals[aIndex * 2 + 1], bVals[bIndex * 2],\n               bVals[bIndex * 2 + 1]);\n\n        realVals[i] = opResult.real;\n        imagVals[i] = opResult.imag;\n      }\n    }\n    return this.complex(realResult.toTensor(), imagResult.toTensor());\n  }\n\n  split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {\n    return split(x, sizeSplits, axis);\n  }\n\n  dispose() {}\n\n  floatPrecision(): 16|32 {\n    return 32;\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return EPSILON_FLOAT32;\n  }\n\n  cropAndResize(\n      images: Tensor4D,\n      boxes: Tensor2D,\n      boxIndex: Tensor1D,\n      cropSize: [number, number],\n      method: string,\n      extrapolationValue: number,\n  ) {\n    const [batch, imageHeight, imageWidth, numChannels] = images.shape;\n    const numBoxes = boxes.shape[0];\n\n    const [cropHeight, cropWidth] = cropSize;\n    const output =\n        ops.buffer([numBoxes, cropHeight, cropWidth, numChannels], 'float32');\n\n    const boxVals = this.readSync(boxes.dataId) as TypedArray;\n    const boxIndVals = this.readSync(boxIndex.dataId) as TypedArray;\n    const imageVals = this.readSync(images.dataId) as TypedArray;\n\n    const inStride = images.strides;   // to calculate flat indexes into image\n    const outStride = output.strides;  // to calculate flat indexes into output\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/crop_and_resize_op.cc\n    for (let b = 0; b < numBoxes; b++) {\n      const startInd = b * 4;\n      const y1 = boxVals[startInd];\n      const x1 = boxVals[startInd + 1];\n      const y2 = boxVals[startInd + 2];\n      const x2 = boxVals[startInd + 3];\n\n      const bInd: number = boxIndVals[b];\n      if (bInd >= batch) {\n        continue;\n      }\n\n      const heightScale = (cropHeight > 1) ?\n          (y2 - y1) * (imageHeight - 1) / (cropHeight - 1) :\n          0;\n      const widthScale =\n          (cropWidth > 1) ? (x2 - x1) * (imageWidth - 1) / (cropWidth - 1) : 0;\n\n      for (let y = 0; y < cropHeight; y++) {\n        const yInd: number = (cropHeight > 1) ?\n            y1 * (imageHeight - 1) + y * (heightScale) :\n            0.5 * (y1 + y2) * (imageHeight - 1);\n\n        if (yInd < 0 || yInd > imageHeight - 1) {\n          for (let x = 0; x < cropWidth; x++) {\n            for (let c = 0; c < numChannels; c++) {\n              const ind =\n                  c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[ind] = extrapolationValue;\n            }\n          }\n          continue;\n        }\n\n        if (method === 'bilinear') {\n          const topInd = Math.floor(yInd);\n          const bottomInd = Math.ceil(yInd);\n          const yLerp = yInd - topInd;\n\n          for (let x = 0; x < cropWidth; x++) {\n            const xInd = (cropWidth > 1) ?\n                x1 * (imageWidth - 1) + x * widthScale :\n                0.5 * (x1 + x2) * (imageWidth - 1);\n\n            if (xInd < 0 || xInd > imageWidth - 1) {\n              for (let c = 0; c < numChannels; c++) {\n                const ind =\n                    c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n                output.values[ind] = extrapolationValue;\n              }\n              continue;\n            }\n\n            const leftInd = Math.floor(xInd);\n            const rightInd = Math.ceil(xInd);\n            const xLerp = xInd - leftInd;\n\n            for (let c = 0; c < numChannels; c++) {\n              let ind = c + leftInd * inStride[2] + topInd * inStride[1] +\n                  bInd * inStride[0];\n              const topLeft = imageVals[ind];\n\n              ind = c + rightInd * inStride[2] + topInd * inStride[1] +\n                  bInd * inStride[0];\n              const topRight = imageVals[ind];\n\n              ind = c + leftInd * inStride[2] + bottomInd * inStride[1] +\n                  bInd * inStride[0];\n              const bottomLeft = imageVals[ind];\n\n              ind = c + rightInd * inStride[2] + bottomInd * inStride[1] +\n                  bInd * inStride[0];\n              const bottomRight = imageVals[ind];\n\n              const top = topLeft + (topRight - topLeft) * xLerp;\n              const bottom = bottomLeft + (bottomRight - bottomLeft) * xLerp;\n\n              ind = c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[ind] = top + ((bottom - top) * yLerp);\n            }\n          }\n        } else {  // method == \"nearest\"\n          for (let x = 0; x < cropWidth; ++x) {\n            const xInd = (cropWidth > 1) ?\n                x1 * (imageWidth - 1) + x * widthScale :\n                0.5 * (x1 + x2) * (imageWidth - 1);\n\n            if (xInd < 0 || xInd > imageWidth - 1) {\n              for (let c = 0; c < numChannels; c++) {\n                const ind =\n                    c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n                output.values[ind] = extrapolationValue;\n              }\n              continue;\n            }\n\n            const closestX = Math.round(xInd);\n            const closestY = Math.round(yInd);\n            for (let c = 0; c < numChannels; c++) {\n              const inInd = c + closestX * inStride[2] +\n                  closestY * inStride[1] + bInd * inStride[0];\n              const outInd =\n                  c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[outInd] = imageVals[inInd];\n            }\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor4D;\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(\n            sparseValues, sparseIndices, outputShape);\n    const sumDupeIndices = false;\n    return this.scatter(\n        sparseIndices, sparseValues, outputShape, outputSize, sliceSize,\n        numUpdates, sliceRank, strides, defaultValue, sumDupeIndices);\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    const indicesShape = indices.shape;\n    const sliceRank = indicesShape[indicesShape.length - 1];\n\n    const [resultShape, numSlices, sliceSize, strides] =\n        gather_nd_util.prepareAndValidate(x, indices);\n    if (numSlices === 0) {\n      return tensor([], resultShape, x.dtype);\n    }\n\n    const buffer = new TensorBuffer([numSlices, sliceSize], x.dtype);\n    const indicesData = this.readSync(indices.dataId) as TypedArray;\n    const xData = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < numSlices; i++) {\n      const index = [];\n      let flattenIndex = 0;\n      for (let j = 0; j < sliceRank; j++) {\n        const dim = indicesData[i * sliceRank + j];\n        flattenIndex += dim * strides[j];\n        index.push(dim);\n      }\n      if (flattenIndex < 0 || flattenIndex >= x.size / sliceSize) {\n        throw new Error(\n            `Invalid indices: ${index} does not index into ${x.shape}`);\n      }\n\n      for (let k = 0; k < sliceSize; k++) {\n        buffer.values[i * sliceSize + k] = xData[flattenIndex * sliceSize + k];\n      }\n    }\n    return buffer.toTensor().reshape(resultShape);\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(updates, indices, shape);\n    const defaultValue = scalar(0);\n    const sumDupeIndices = true;\n    return this.scatter(\n        indices, updates, shape, outputSize, sliceSize, numUpdates, sliceRank,\n        strides, defaultValue, sumDupeIndices);\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    dtype = dtype || inferDtype(value);\n    const values = getArrayFromDType(dtype, sizeFromShape(shape)) as TypedArray;\n    values.fill(value as number);\n    return ENGINE.makeTensor(values, shape, dtype, this) as Tensor<R>;\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    if (x.dtype === 'string') {\n      throw new Error('onesLike is not supported for string tensors');\n    } else {\n      return this.fill(x.shape, 1, x.dtype);\n    }\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    const values =\n        getArrayFromDType(x.dtype, sizeFromShape(x.shape)) as TypedArray;\n    return this.makeOutput(values, x.shape, x.dtype);\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    return backend_util.linspaceImpl(start, stop, num);\n  }\n\n  private scatter<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R], outputSize: number,\n      sliceSize: number, numUpdates: number, sliceRank: number,\n      strides: number[], defaultValue: Scalar,\n      sumDupeIndices: boolean): Tensor<R> {\n    const flattenShape = [outputSize / sliceSize, sliceSize];\n\n    const indicesData = this.readSync(indices.dataId) as TypedArray;\n    const updatesData = this.readSync(updates.dataId) as TypedArray;\n\n    if (outputSize === 0) {\n      return tensor([], shape, updates.dtype);\n    }\n\n    const buffer = new TensorBuffer(flattenShape, updates.dtype as 'float32');\n    buffer.values.fill((this.readSync(defaultValue.dataId) as TypedArray)[0]);\n\n    for (let i = 0; i < numUpdates; i++) {\n      const index = [];\n      let flattenIndex = 0;\n      for (let j = 0; j < sliceRank; j++) {\n        const dim = indicesData[i * sliceRank + j];\n        index.push(dim);\n        flattenIndex += dim * strides[j];\n      }\n\n      if (flattenIndex < 0 || flattenIndex >= outputSize / sliceSize) {\n        throw new Error(\n            `Invalid indices: ${index} does not index into ${shape}`);\n      }\n\n      for (let k = 0; k < sliceSize; k++) {\n        if (sumDupeIndices) {\n          buffer.values[flattenIndex * sliceSize + k] +=\n              updatesData[i * sliceSize + k];\n        } else {\n          buffer.values[flattenIndex * sliceSize + k] = updates.rank === 0 ?\n              updatesData[0] :\n              updatesData[i * sliceSize + k];\n        }\n      }\n    }\n    return buffer.toTensor().reshape(shape);\n  }\n}\n\nENGINE.registerBackend('cpu', () => new MathBackendCPU(), 1 /* priority */);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const ERF_P = 0.3275911;\nexport const ERF_A1 = 0.254829592;\nexport const ERF_A2 = -0.284496736;\nexport const ERF_A3 = 1.421413741;\nexport const ERF_A4 = -1.453152027;\nexport const ERF_A5 = 1.061405429;\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorInfoMap, registerKernel, TensorInfo} from '../../kernel_registry';\n\nimport {MathBackendCPU} from './backend_cpu';\nimport {assertNotComplex} from './cpu_util';\n\ninterface SquareInputs extends NamedTensorInfoMap {\n  x: TensorInfo;\n}\n\nregisterKernel({\n  kernelName: 'Square',\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend}) => {\n    const {x} = inputs as SquareInputs;\n    const cpuBackend = backend as MathBackendCPU;\n    assertNotComplex(x, 'square');\n\n    const values = cpuBackend.data.get(x.dataId).values as Float32Array;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = value * value;\n    }\n    const dataId = cpuBackend.write(newValues, x.shape, x.dtype);\n    return {dataId, shape: x.shape, dtype: x.dtype};\n  }\n});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedAttrMap, NamedTensorInfoMap, registerKernel, TensorInfo} from '../../kernel_registry';\nimport {TypedArray} from '../../types';\nimport {nonMaxSuppressionV5} from '../non_max_suppression_impl';\n\nimport {MathBackendCPU} from './backend_cpu';\nimport {assertNotComplex} from './cpu_util';\n\ninterface NonMaxSuppressionWithScoreInputs extends NamedTensorInfoMap {\n  boxes: TensorInfo;\n  scores: TensorInfo;\n}\n\ninterface NonMaxSuppressionWithScoreAttrs extends NamedAttrMap {\n  maxOutputSize: number;\n  iouThreshold: number;\n  scoreThreshold: number;\n  softNmsSigma: number;\n}\n\nregisterKernel({\n  kernelName: 'NonMaxSuppressionV5',\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    const {boxes, scores} = inputs as NonMaxSuppressionWithScoreInputs;\n    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =\n        attrs as NonMaxSuppressionWithScoreAttrs;\n\n    const cpuBackend = backend as MathBackendCPU;\n\n    assertNotComplex(boxes, 'NonMaxSuppressionWithScore');\n\n    const boxesVals = cpuBackend.data.get(boxes.dataId).values as TypedArray;\n    const scoresVals = cpuBackend.data.get(scores.dataId).values as TypedArray;\n\n    const maxOutputSizeVal = maxOutputSize;\n    const iouThresholdVal = iouThreshold;\n    const scoreThresholdVal = scoreThreshold;\n    const softNmsSigmaVal = softNmsSigma;\n\n    const {selectedIndices, selectedScores} = nonMaxSuppressionV5(\n        boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal,\n        scoreThresholdVal, softNmsSigmaVal);\n\n    return [selectedIndices, selectedScores];\n  }\n});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorInfoMap, registerKernel, TensorInfo} from '../../kernel_registry';\n\nimport {MathBackendWebGL} from './backend_webgl';\nimport {SQUARE, UnaryOpProgram} from './unaryop_gpu';\n\ninterface SquareInputs extends NamedTensorInfoMap {\n  x: TensorInfo;\n}\n\nregisterKernel({\n  kernelName: 'Square',\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {x} = inputs as SquareInputs;\n    const webglBackend = backend as MathBackendWebGL;\n    const program = new UnaryOpProgram(x.shape, SQUARE);\n    return webglBackend.runWebGLProgram(program, [x], x.dtype);\n  }\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class FromPixelsProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    const [height, width, ] = outputShape;\n    this.outputShape = outputShape;\n    this.userCode = `\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${width}.0, ${height}.0);\n\n        vec4 values = ${glsl.texture2D}(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\nimport {KernelFunc, registerKernel, TensorInfo} from '../../kernel_registry';\nimport {PixelData} from '../../types';\n\nimport {MathBackendWebGL} from './backend_webgl';\nimport {FromPixelsProgram} from './from_pixels_gpu';\nimport {FromPixelsPackedProgram} from './from_pixels_packed_gpu';\nimport {TextureUsage} from './tex_util';\n\ninterface FromPixelsInputs {\n  pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n      HTMLVideoElement;\n}\n\ninterface FromPixelsAttrs {\n  numChannels: number;\n}\n\nregisterKernel({\n  kernelName: 'FromPixels',\n  backendName: 'webgl',\n  kernelFunc: fromPixels as {} as KernelFunc,\n});\n\nlet fromPixels2DContext: CanvasRenderingContext2D;\n\nfunction fromPixels(args: {\n  inputs: FromPixelsInputs,\n  backend: MathBackendWebGL,\n  attrs: FromPixelsAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  let {pixels} = inputs;\n  const {numChannels} = attrs;\n\n  const isVideo = typeof (HTMLVideoElement) !== 'undefined' &&\n      pixels instanceof HTMLVideoElement;\n  const isImage = typeof (HTMLImageElement) !== 'undefined' &&\n      pixels instanceof HTMLImageElement;\n  const [width, height] = isVideo ?\n      [\n        (pixels as HTMLVideoElement).videoWidth,\n        (pixels as HTMLVideoElement).videoHeight\n      ] :\n      [pixels.width, pixels.height];\n\n  const texShape: [number, number] = [height, width];\n  const outShape = [height, width, numChannels];\n\n  if (isImage || isVideo) {\n    if (fromPixels2DContext == null) {\n      fromPixels2DContext = document.createElement('canvas').getContext('2d');\n    }\n\n    fromPixels2DContext.canvas.width = width;\n    fromPixels2DContext.canvas.height = height;\n    fromPixels2DContext.drawImage(\n        pixels as HTMLVideoElement | HTMLImageElement, 0, 0, width, height);\n    pixels = fromPixels2DContext.canvas;\n  }\n\n  const tempPixelHandle = backend.makeTensorInfo(texShape, 'int32');\n  // This is a byte texture with pixels.\n  backend.texData.get(tempPixelHandle.dataId).usage = TextureUsage.PIXELS;\n  backend.gpgpu.uploadPixelDataToTexture(\n      backend.getTexture(tempPixelHandle.dataId), pixels as ImageData);\n  const program = env().getBool('WEBGL_PACK') ?\n      new FromPixelsPackedProgram(outShape) :\n      new FromPixelsProgram(outShape);\n  const res = backend.runWebGLProgram(program, [tempPixelHandle], 'int32');\n  backend.disposeData(tempPixelHandle.dataId);\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class FromPixelsPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    const [height, width, ] = outputShape;\n    this.outputShape = outputShape;\n    this.userCode = `\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2(${width}.0, ${height}.0);\n            vec4 values = ${glsl.texture2D}(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedAttrMap, NamedTensorInfoMap, registerKernel, TensorInfo} from '../../kernel_registry';\nimport {warn} from '../../log';\nimport {TypedArray} from '../../types';\nimport {nonMaxSuppressionV5} from '../non_max_suppression_impl';\n\nimport {MathBackendWebGL} from './backend_webgl';\n\ninterface NonMaxSuppressionWithScoreInputs extends NamedTensorInfoMap {\n  boxes: TensorInfo;\n  scores: TensorInfo;\n}\n\ninterface NonMaxSuppressionWithScoreAttrs extends NamedAttrMap {\n  maxOutputSize: number;\n  iouThreshold: number;\n  scoreThreshold: number;\n  softNmsSigma: number;\n}\n\nregisterKernel({\n  kernelName: 'NonMaxSuppressionV5',\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    warn(\n        'tf.nonMaxSuppression() in webgl locks the UI thread. ' +\n        'Call tf.nonMaxSuppressionAsync() instead');\n\n    const {boxes, scores} = inputs as NonMaxSuppressionWithScoreInputs;\n    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =\n        attrs as NonMaxSuppressionWithScoreAttrs;\n\n    const gpuBackend = backend as MathBackendWebGL;\n\n    const boxesVals = gpuBackend.readSync(boxes.dataId) as TypedArray;\n    const scoresVals = gpuBackend.readSync(scores.dataId) as TypedArray;\n\n    const maxOutputSizeVal = maxOutputSize;\n    const iouThresholdVal = iouThreshold;\n    const scoreThresholdVal = scoreThreshold;\n    const softNmsSigmaVal = softNmsSigma;\n\n    const {selectedIndices, selectedScores} = nonMaxSuppressionV5(\n        boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal,\n        scoreThresholdVal, softNmsSigmaVal);\n\n    return [selectedIndices, selectedScores];\n  }\n});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {Platform} from './platform';\n\nexport class PlatformBrowser implements Platform {\n  // According to the spec, the built-in encoder can do only UTF-8 encoding.\n  // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n  private textEncoder: TextEncoder;\n\n  fetch(path: string, init?: RequestInit): Promise<Response> {\n    return fetch(path, init);\n  }\n\n  now(): number {\n    return performance.now();\n  }\n\n  encode(text: string, encoding: string): Uint8Array {\n    if (encoding !== 'utf-8' && encoding !== 'utf8') {\n      throw new Error(\n          `Browser's encoder only supports utf-8, but got ${encoding}`);\n    }\n    if (this.textEncoder == null) {\n      this.textEncoder = new TextEncoder();\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes: Uint8Array, encoding: string): string {\n    return new TextDecoder(encoding).decode(bytes);\n  }\n}\n\nif (env().get('IS_BROWSER')) {\n  env().setPlatform('browser', new PlatformBrowser());\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {env} from '../environment';\n\nimport {Platform} from './platform';\n\n// We are wrapping this within an object so it can be stubbed by Jasmine.\nexport const getNodeFetch = {\n  // tslint:disable-next-line:no-require-imports\n  importFetch: () => require('node-fetch')\n};\n\ntype FetchFn = (url: string, init?: RequestInit) => Promise<Response>;\nlet systemFetch: FetchFn;\n// These getters and setters are for testing so we don't export a mutable\n// variable.\nexport function resetSystemFetch() {\n  systemFetch = null;\n}\nexport function setSystemFetch(fetchFn: FetchFn) {\n  systemFetch = fetchFn;\n}\nexport function getSystemFetch(): FetchFn {\n  return systemFetch;\n}\n\nexport class PlatformNode implements Platform {\n  private textEncoder: TextEncoder;\n  // tslint:disable-next-line:no-any\n  util: any;\n\n  constructor() {\n    // tslint:disable-next-line:no-require-imports\n    this.util = require('util');\n    // According to the spec, the built-in encoder can do only UTF-8 encoding.\n    // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n    this.textEncoder = new this.util.TextEncoder();\n  }\n\n  fetch(path: string, requestInits?: RequestInit): Promise<Response> {\n    if (env().global.fetch != null) {\n      return env().global.fetch(path, requestInits);\n    }\n\n    if (systemFetch == null) {\n      systemFetch = getNodeFetch.importFetch();\n    }\n    return systemFetch(path, requestInits);\n  }\n\n  now(): number {\n    const time = process.hrtime();\n    return time[0] * 1000 + time[1] / 1000000;\n  }\n\n  encode(text: string, encoding: string): Uint8Array {\n    if (encoding !== 'utf-8' && encoding !== 'utf8') {\n      throw new Error(\n          `Node built-in encoder only supports utf-8, but got ${encoding}`);\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes: Uint8Array, encoding: string): string {\n    if (bytes.length === 0) {\n      return '';\n    }\n    return new this.util.TextDecoder(encoding).decode(bytes);\n  }\n}\n\nif (env().get('IS_NODE')) {\n  env().setPlatform('node', new PlatformNode());\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/* Type definitions for exporting and importing of models. */\n\n/**\n * A map from Tensor dtype to number of bytes per element of the Tensor.\n */\nexport const DTYPE_VALUE_SIZE_MAP: {[dtype: string]: number} = {\n  'float32': 4,\n  'int32': 4,\n  'uint16': 2,\n  'uint8': 1,\n  'bool': 1,\n};\n\n/**\n * A weight manifest.\n *\n * The weight manifest consists of an ordered list of weight-manifest groups.\n * Each weight-manifest group (\"group\" for short hereafter) consists of a\n * number of weight values stored in a number of paths.\n * See the documentation of `WeightManifestGroupConfig` below for more details.\n */\nexport declare type WeightsManifestConfig = WeightsManifestGroupConfig[];\n\n/**\n * A weight-manifest group.\n *\n * Consists of an ordered list of weight values encoded in binary format,\n * stored in an ordered list of paths.\n */\nexport declare interface WeightsManifestGroupConfig {\n  /**\n   * An ordered list of paths.\n   *\n   * Paths are intentionally abstract in order to be general. For example, they\n   * can be relative URL paths or relative paths on the file system.\n   */\n  paths: string[];\n\n  /**\n   * Specifications of the weights stored in the paths.\n   */\n  weights: WeightsManifestEntry[];\n}\n\n/**\n * Group to which the weight belongs.\n *\n * - 'optimizer': Weight from a stateful optimizer.\n */\nexport type WeightGroup = 'model'|'optimizer';\n\n/**\n * An entry in the weight manifest.\n *\n * The entry contains specification of a weight.\n */\nexport declare interface WeightsManifestEntry {\n  /**\n   * Name of the weight, e.g., 'Dense_1/bias'\n   */\n  name: string;\n\n  /**\n   * Shape of the weight.\n   */\n  shape: number[];\n\n  /**\n   * Data type of the weight.\n   */\n  dtype: 'float32'|'int32'|'bool'|'string';\n\n  /**\n   * Type of the weight.\n   *\n   * Optional.\n   *\n   * The value 'optimizer' indicates the weight belongs to an optimizer\n   * (i.e., used only during model training and not during inference).\n   */\n  group?: WeightGroup;\n\n  /**\n   * Information for dequantization of the weight.\n   */\n  quantization?: {\n    scale: number,           // The scaling constant to multiply by.\n    min: number,             // The (possibly nudged) minimum weight to add.\n    dtype: 'uint16'|'uint8'  // The dtype of the quantized weights.\n  };\n}\n\n/**\n * Options for saving a model.\n * @innamespace io\n */\nexport interface SaveConfig {\n  /**\n   * Whether to save only the trainable weights of the model, ignoring the\n   * non-trainable ones.\n   */\n  trainableOnly?: boolean;\n\n  /**\n   * Whether the optimizer will be saved (if exists).\n   *\n   * Default: `false`.\n   */\n  includeOptimizer?: boolean;\n}\n\n/**\n * Result of a saving operation.\n */\nexport interface SaveResult {\n  /**\n   * Information about the model artifacts saved.\n   */\n  modelArtifactsInfo: ModelArtifactsInfo;\n\n  /**\n   * HTTP responses from the server that handled the model-saving request (if\n   * any). This is applicable only to server-based saving routes.\n   */\n  responses?: Response[];\n\n  /**\n   * Error messages and related data (if any).\n   */\n  errors?: Array<{}|string>;\n}\n\nexport declare interface ModelArtifactsInfo {\n  /**\n   * Timestamp for when the model is saved.\n   */\n  dateSaved: Date;\n\n  /**\n   * TODO (cais,yassogba) consider removing GraphDef as GraphDefs now\n   * come in a JSON format and none of our IOHandlers support a non json\n   * format. We could conder replacing this with 'Binary' if we want to\n   * allow future handlers to save to non json formats (though they will\n   * probably want more information than 'Binary').\n   * Type of the model topology\n   *\n   * Type of the model topology\n   *\n   * Possible values:\n   *   - JSON: JSON config (human-readable, e.g., Keras JSON).\n   *   - GraphDef: TensorFlow\n   *     [GraphDef](https://www.tensorflow.org/extend/tool_developers/#graphdef)\n   *     protocol buffer (binary).\n   */\n  modelTopologyType: 'JSON'|'GraphDef';\n\n  /**\n   * Size of model topology (Keras JSON or GraphDef), in bytes.\n   */\n  modelTopologyBytes?: number;\n\n  /**\n   * Size of weight specification or manifest, in bytes.\n   */\n  weightSpecsBytes?: number;\n\n  /**\n   * Size of weight value data, in bytes.\n   */\n  weightDataBytes?: number;\n}\n\n/** Model training configuration. */\nexport declare interface TrainingConfig {\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  // See\n  // tslint:disable-next-line:max-line-length\n  // https://github.com/tensorflow/tfjs-layers/blob/master/src/keras_format/training_config.ts\n  /** Optimizer used for the model training. */\n  optimizer_config: {};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  /** Loss function(s) for the model's output(s). */\n  loss: string|string[]|{[key: string]: string};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  /** Metric function(s) for the model's output(s). */\n  metrics?: string[]|{[key: string]: string};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  weighted_metrics?: string[];\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  sample_weight_mode?: string;\n\n  loss_weights?: number[]|{[key: string]: number};\n}\n\n/**\n * The serialized artifacts of a model, including topology and weights.\n *\n * The `modelTopology`, `trainingConfig`, `weightSpecs` and `weightData` fields\n * of this interface are optional, in order to support topology- or weights-only\n * saving and loading.\n *\n * Note this interface is used internally in IOHandlers.  For the file format\n * written to disk as `model.json`, see `ModelJSON`.\n */\nexport declare interface ModelArtifacts {\n  /**\n   * Model topology.\n   *\n   * For Keras-style `tf.Model`s, this is a JSON object.\n   * For TensorFlow-style models (e.g., `SavedModel`), this is the JSON\n   * encoding of the `GraphDef` protocol buffer.\n   */\n  modelTopology?: {}|ArrayBuffer;\n\n  /**\n   * Serialized configuration for the model's training.\n   */\n  trainingConfig?: TrainingConfig;\n\n  /**\n   * Weight specifications.\n   *\n   * This corresponds to the weightsData below.\n   */\n  weightSpecs?: WeightsManifestEntry[];\n\n  /**\n   * Binary buffer for all weight values concatenated in the order specified\n   * by `weightSpecs`.\n   */\n  weightData?: ArrayBuffer;\n\n  /**\n   * Hard-coded format name for models saved from TensorFlow.js or converted\n   * by TensorFlow.js Converter.\n   */\n  format?: string;\n\n  /**\n   * What library is responsible for originally generating this artifact.\n   *\n   * Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.\n   */\n  generatedBy?: string;\n\n  /**\n   * What library or tool is responsible for converting the original model\n   * to this format, applicable only if the model is output by a converter.\n   *\n   * Used for debugging purposes.  E.g., 'TensorFlow.js Converter v1.0.0'.\n   *\n   * A value of `null` means the model artifacts are generated without any\n   * conversion process (e.g., saved directly from a TensorFlow.js\n   * `tf.LayersModel` instance.)\n   */\n  convertedBy?: string|null;\n\n  /**\n   * User-defined metadata about the model.\n   */\n  userDefinedMetadata?: {};\n}\n\n/**\n * The on-disk format of the `model.json` file.\n *\n * TF.js 1.0 always populates the optional fields when writing model.json.\n * Prior versions did not provide those fields.\n */\nexport declare interface ModelJSON {\n  /**\n   * Model topology.\n   *\n   * For Keras-style `tf.Model`s, this is a JSON object.\n   * For TensorFlow-style models (e.g., `SavedModel`), this is the JSON\n   * encoding of the `GraphDef` protocol buffer.\n   */\n  modelTopology: {};\n\n  /** Model training configuration. */\n  trainingConfig?: TrainingConfig;\n\n  /**\n   * Weights manifest.\n   *\n   * The weights manifest consists of an ordered list of weight-manifest\n   * groups. Each weight-manifest group consists of a number of weight values\n   * stored in a number of paths. See the documentation of\n   * `WeightsManifestConfig` for more details.\n   */\n  weightsManifest: WeightsManifestConfig;\n\n  /**\n   * Hard-coded format name for models saved from TensorFlow.js or converted\n   * by TensorFlow.js Converter.\n   */\n  format?: string;\n\n  /**\n   * What library is responsible for originally generating this artifact.\n   *\n   * Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.\n   */\n  generatedBy?: string;\n\n  /**\n   * What library or tool is responsible for converting the original model\n   * to this format, applicable only if the model is output by a converter.\n   *\n   * Used for debugging purposes.  E.g., 'TensorFlow.js Converter v1.0.0'.\n   *\n   * A value of `null` means the model artifacts are generated without any\n   * conversion process (e.g., saved directly from a TensorFlow.js\n   * `tf.LayersModel` instance.)\n   */\n  convertedBy?: string|null;\n\n  /**\n   * User-defined metadata about the model.\n   */\n  userDefinedMetadata?: {};\n}\n\n/**\n * Type definition for handlers of loading operations.\n */\nexport type LoadHandler = () => Promise<ModelArtifacts>;\n\n/**\n * Type definition for handlers of saving operations.\n */\nexport type SaveHandler = (modelArtifact: ModelArtifacts) =>\n    Promise<SaveResult>;\n\n/**\n * Interface for a model import/export handler.\n *\n * The `save` and `load` handlers are both optional, in order to allow handlers\n * that support only saving or loading.\n */\n// tslint:disable-next-line:interface-name\nexport interface IOHandler {\n  save?: SaveHandler;\n  load?: LoadHandler;\n}\n\n/**\n * An interface for the manager of a model store.\n *\n * A model store is defined as a storage medium on which multiple models can\n * be stored. Each stored model has a unique `path` as its identifier.\n * A `ModelStoreManager` for the store allows actions including\n *\n * - Listing the models stored in the store.\n * - Deleting a model from the store.\n */\nexport interface ModelStoreManager {\n  /**\n   * List all models in the model store.\n   *\n   * @returns A dictionary mapping paths of existing models to their\n   *   model artifacts info. Model artifacts info include type of the model's\n   *   topology, byte sizes of the topology, weights, etc.\n   */\n  listModels(): Promise<{[path: string]: ModelArtifactsInfo}>;\n\n  /**\n   * Remove a model specified by `path`.\n   *\n   * @param path\n   * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n   *   is successful).\n   * @throws Error if deletion fails, e.g., if no model exists at `path`.\n   */\n  removeModel(path: string): Promise<ModelArtifactsInfo>;\n}\n\n/**\n * Callback for the progress of a long-running action such as an HTTP\n * request for a large binary object.\n *\n * `fraction` should be a number in the [0, 1] interval, indicating how\n * much of the action has completed.\n */\nexport type OnProgressCallback = (fraction: number) => void;\n\n/** @innamespace io */\nexport interface LoadOptions {\n  /**\n   * RequestInit (options) for HTTP requests.\n   *\n   * For detailed information on the supported fields, see\n   * [https://developer.mozilla.org/en-US/docs/Web/API/Request/Request](\n   *     https://developer.mozilla.org/en-US/docs/Web/API/Request/Request)\n   */\n  requestInit?: RequestInit;\n\n  /**\n   * Progress callback.\n   */\n  onProgress?: OnProgressCallback;\n\n  /**\n   * A function used to override the `window.fetch` function.\n   */\n  fetchFunc?: Function;\n\n  /**\n   * Strict loading model: whether extraneous weights or missing\n   * weights should trigger an `Error`.\n   *\n   * If `true`, require that the provided weights exactly match those\n   * required by the layers. `false` means that both extra weights\n   * and missing weights will be silently ignored.\n   *\n   * Default: `true`.\n   */\n  strict?: boolean;\n\n  /**\n   * Path prefix for weight files, by default this is calculated from the\n   * path of the model JSON file.\n   *\n   * For instance, if the path to the model JSON file is\n   * `http://localhost/foo/model.json`, then the default path prefix will be\n   * `http://localhost/foo/`. If a weight file has the path value\n   * `group1-shard1of2` in the weight manifest, then the weight file will be\n   * loaded from `http://localhost/foo/group1-shard1of2` by default. However,\n   * if you provide a `weightPathPrefix` value of\n   * `http://localhost/foo/alt-weights`, then the weight file will be loaded\n   * from the path `http://localhost/foo/alt-weights/group1-shard1of2` instead.\n   */\n  weightPathPrefix?: string;\n\n  /**\n   * Whether the module or model is to be loaded from TF Hub.\n   *\n   * Setting this to `true` allows passing a TF-Hub module URL, omitting the\n   * standard model file name and the query parameters.\n   *\n   * Default: `false`.\n   */\n  fromTFHub?: boolean;\n}\n\n/**\n * Additional options for Platform.fetch\n */\nexport interface RequestDetails {\n  /**\n   * Is this request for a binary file (as opposed to a json file)\n   */\n  isBinary?: boolean;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tensor} from '../ops/tensor_ops';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\nimport {TypedArray} from '../types';\nimport {sizeFromShape} from '../util';\n\nimport {DTYPE_VALUE_SIZE_MAP, ModelArtifacts, ModelArtifactsInfo, WeightGroup, WeightsManifestEntry} from './types';\n\n/** Number of bytes reserved for the length of the string. (32bit integer). */\nconst NUM_BYTES_STRING_LENGTH = 4;\n\n/**\n * Encode a map from names to weight values as an ArrayBuffer, along with an\n * `Array` of `WeightsManifestEntry` as specification of the encoded weights.\n *\n * This function does not perform sharding.\n *\n * This function is the reverse of `decodeWeights`.\n *\n * @param tensors A map (\"dict\") from names to tensors.\n * @param group Group to which the weights belong (optional).\n * @returns A `Promise` of\n *   - A flat `ArrayBuffer` with all the binary values of the `Tensor`s\n *     concatenated.\n *   - An `Array` of `WeightManifestEntry`s, carrying information including\n *     tensor names, `dtype`s and shapes.\n * @throws Error: on unsupported tensor `dtype`.\n */\nexport async function encodeWeights(\n    tensors: NamedTensorMap|NamedTensor[], group?: WeightGroup):\n    Promise<{data: ArrayBuffer, specs: WeightsManifestEntry[]}> {\n  // TODO(adarob, cais): Support quantization.\n  const specs: WeightsManifestEntry[] = [];\n  const dataPromises: Array<Promise<TypedArray>> = [];\n\n  const names: string[] = Array.isArray(tensors) ?\n      tensors.map(tensor => tensor.name) :\n      Object.keys(tensors);\n\n  for (let i = 0; i < names.length; ++i) {\n    const name = names[i];\n    const t = Array.isArray(tensors) ? tensors[i].tensor : tensors[name];\n    if (t.dtype !== 'float32' && t.dtype !== 'int32' && t.dtype !== 'bool' &&\n        t.dtype !== 'string') {\n      throw new Error(`Unsupported dtype in weight '${name}': ${t.dtype}`);\n    }\n    const spec: WeightsManifestEntry = {name, shape: t.shape, dtype: t.dtype};\n    if (t.dtype === 'string') {\n      const utf8bytes = new Promise<TypedArray>(async resolve => {\n        const vals = await t.bytes() as Uint8Array[];\n        const totalNumBytes = vals.reduce((p, c) => p + c.length, 0) +\n            NUM_BYTES_STRING_LENGTH * vals.length;\n        const bytes = new Uint8Array(totalNumBytes);\n        let offset = 0;\n        for (let i = 0; i < vals.length; i++) {\n          const val = vals[i];\n          const bytesOfLength =\n              new Uint8Array(new Uint32Array([val.length]).buffer);\n          bytes.set(bytesOfLength, offset);\n          offset += NUM_BYTES_STRING_LENGTH;\n          bytes.set(val, offset);\n          offset += val.length;\n        }\n        resolve(bytes);\n      });\n      dataPromises.push(utf8bytes);\n    } else {\n      dataPromises.push(t.data());\n    }\n    if (group != null) {\n      spec.group = group;\n    }\n    specs.push(spec);\n  }\n\n  const tensorValues = await Promise.all(dataPromises);\n  return {data: concatenateTypedArrays(tensorValues), specs};\n}\n\n/**\n * Decode flat ArrayBuffer as weights.\n *\n * This function does not handle sharding.\n *\n * This function is the reverse of `encodeWeights`.\n *\n * @param buffer A flat ArrayBuffer carrying the binary values of the tensors\n *   concatenated in the order specified in `specs`.\n * @param specs Specifications of the names, dtypes and shapes of the tensors\n *   whose value are encoded by `buffer`.\n * @return A map from tensor name to tensor value, with the names corresponding\n *   to names in `specs`.\n * @throws Error, if any of the tensors has unsupported dtype.\n */\nexport function decodeWeights(\n    buffer: ArrayBuffer, specs: WeightsManifestEntry[]): NamedTensorMap {\n  // TODO(adarob, cais): Support quantization.\n  const out: NamedTensorMap = {};\n  let offset = 0;\n  for (const spec of specs) {\n    const name = spec.name;\n    const dtype = spec.dtype;\n    const shape = spec.shape;\n    const size = sizeFromShape(shape);\n    let values: TypedArray|string[]|Uint8Array[];\n\n    if ('quantization' in spec) {\n      const quantization = spec.quantization;\n      if (quantization.dtype !== 'uint8' && quantization.dtype !== 'uint16') {\n        throw new Error(\n            `Weight ${spec.name} has unknown ` +\n            `quantization dtype ${quantization.dtype}. ` +\n            `Supported quantization dtypes are: 'uint8' and 'uint16'.`);\n      }\n      const quantizationSizeFactor = DTYPE_VALUE_SIZE_MAP[quantization.dtype];\n      const byteBuffer =\n          buffer.slice(offset, offset + size * quantizationSizeFactor);\n      const quantizedArray = (quantization.dtype === 'uint8') ?\n          new Uint8Array(byteBuffer) :\n          new Uint16Array(byteBuffer);\n      if (dtype === 'float32') {\n        values = Float32Array.from(\n            quantizedArray, v => v * quantization.scale + quantization.min);\n      } else if (dtype === 'int32') {\n        values = Int32Array.from(\n            quantizedArray,\n            v => Math.round(v * quantization.scale + quantization.min));\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * quantizationSizeFactor;\n    } else if (dtype === 'string') {\n      const size = sizeFromShape(spec.shape);\n      values = [];\n      for (let i = 0; i < size; i++) {\n        const byteLength = new Uint32Array(\n            buffer.slice(offset, offset + NUM_BYTES_STRING_LENGTH))[0];\n        offset += NUM_BYTES_STRING_LENGTH;\n        const bytes = new Uint8Array(buffer.slice(offset, offset + byteLength));\n        (values as Uint8Array[]).push(bytes);\n        offset += byteLength;\n      }\n    } else {\n      const dtypeFactor = DTYPE_VALUE_SIZE_MAP[dtype];\n      const byteBuffer = buffer.slice(offset, offset + size * dtypeFactor);\n\n      if (dtype === 'float32') {\n        values = new Float32Array(byteBuffer);\n      } else if (dtype === 'int32') {\n        values = new Int32Array(byteBuffer);\n      } else if (dtype === 'bool') {\n        values = new Uint8Array(byteBuffer);\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * dtypeFactor;\n    }\n\n    out[name] = tensor(values, shape, dtype);\n  }\n  return out;\n}\n\n/**\n * Concatenate TypedArrays into an ArrayBuffer.\n */\nexport function concatenateTypedArrays(xs: TypedArray[]): ArrayBuffer {\n  // TODO(adarob, cais): Support quantization.\n  if (xs === null) {\n    throw new Error(`Invalid input value: ${JSON.stringify(xs)}`);\n  }\n\n  let totalByteLength = 0;\n\n  // `normalizedXs` is here for this reason: a `TypedArray`'s `buffer'\n  // can have a different byte length from that of the `TypedArray` itself,\n  // for example, when the `TypedArray` is created from an offset in an\n  // `ArrayBuffer`. `normliazedXs` holds `TypedArray`s whose `buffer`s match\n  // the `TypedArray` in byte length. If an element of `xs` does not show\n  // this property, a new `TypedArray` that satisfy this property will be\n  // constructed and pushed into `normalizedXs`.\n  const normalizedXs: TypedArray[] = [];\n  xs.forEach((x: TypedArray) => {\n    totalByteLength += x.byteLength;\n    // tslint:disable:no-any\n    normalizedXs.push(\n        x.byteLength === x.buffer.byteLength ? x :\n                                               new (x.constructor as any)(x));\n    if (!(x as any instanceof Float32Array || x as any instanceof Int32Array ||\n          x as any instanceof Uint8Array)) {\n      throw new Error(`Unsupported TypedArray subtype: ${x.constructor.name}`);\n    }\n    // tslint:enable:no-any\n  });\n\n  const y = new Uint8Array(totalByteLength);\n  let offset = 0;\n  normalizedXs.forEach((x: TypedArray) => {\n    y.set(new Uint8Array(x.buffer), offset);\n    offset += x.byteLength;\n  });\n\n  return y.buffer;\n}\n\n// Use Buffer on Node.js instead of Blob/atob/btoa\nconst useNodeBuffer = typeof Buffer !== 'undefined' &&\n    (typeof Blob === 'undefined' || typeof atob === 'undefined' ||\n     typeof btoa === 'undefined');\n\n/**\n * Calculate the byte length of a JavaScript string.\n *\n * Note that a JavaScript string can contain wide characters, therefore the\n * length of the string is not necessarily equal to the byte length.\n *\n * @param str Input string.\n * @returns Byte length.\n */\nexport function stringByteLength(str: string): number {\n  if (useNodeBuffer) {\n    return Buffer.byteLength(str);\n  }\n  return new Blob([str]).size;\n}\n\n/**\n * Encode an ArrayBuffer as a base64 encoded string.\n *\n * @param buffer `ArrayBuffer` to be converted.\n * @returns A string that base64-encodes `buffer`.\n */\nexport function arrayBufferToBase64String(buffer: ArrayBuffer): string {\n  if (useNodeBuffer) {\n    return Buffer.from(buffer).toString('base64');\n  }\n  const buf = new Uint8Array(buffer);\n  let s = '';\n  for (let i = 0, l = buf.length; i < l; i++) {\n    s += String.fromCharCode(buf[i]);\n  }\n  return btoa(s);\n}\n\n/**\n * Decode a base64 string as an ArrayBuffer.\n *\n * @param str Base64 string.\n * @returns Decoded `ArrayBuffer`.\n */\nexport function base64StringToArrayBuffer(str: string): ArrayBuffer {\n  if (useNodeBuffer) {\n    const buf = Buffer.from(str, 'base64');\n    return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength);\n  }\n  const s = atob(str);\n  const buffer = new Uint8Array(s.length);\n  for (let i = 0; i < s.length; ++i) {\n    buffer.set([s.charCodeAt(i)], i);\n  }\n  return buffer.buffer;\n}\n\n/**\n * Concatenate a number of ArrayBuffers into one.\n *\n * @param buffers A number of array buffers to concatenate.\n * @returns Result of concatenating `buffers` in order.\n */\nexport function concatenateArrayBuffers(buffers: ArrayBuffer[]): ArrayBuffer {\n  let totalByteLength = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    totalByteLength += buffer.byteLength;\n  });\n\n  const temp = new Uint8Array(totalByteLength);\n  let offset = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    temp.set(new Uint8Array(buffer), offset);\n    offset += buffer.byteLength;\n  });\n  return temp.buffer;\n}\n\n/**\n * Get the basename of a path.\n *\n * Behaves in a way analogous to Linux's basename command.\n *\n * @param path\n */\nexport function basename(path: string): string {\n  const SEPARATOR = '/';\n  path = path.trim();\n  while (path.endsWith(SEPARATOR)) {\n    path = path.slice(0, path.length - 1);\n  }\n  const items = path.split(SEPARATOR);\n  return items[items.length - 1];\n}\n\n/**\n * Populate ModelArtifactsInfo fields for a model with JSON topology.\n * @param modelArtifacts\n * @returns A ModelArtifactsInfo object.\n */\nexport function getModelArtifactsInfoForJSON(modelArtifacts: ModelArtifacts):\n    ModelArtifactsInfo {\n  if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n    throw new Error('Expected JSON model topology, received ArrayBuffer.');\n  }\n\n  return {\n    dateSaved: new Date(),\n    modelTopologyType: 'JSON',\n    modelTopologyBytes: modelArtifacts.modelTopology == null ?\n        0 :\n        stringByteLength(JSON.stringify(modelArtifacts.modelTopology)),\n    weightSpecsBytes: modelArtifacts.weightSpecs == null ?\n        0 :\n        stringByteLength(JSON.stringify(modelArtifacts.weightSpecs)),\n    weightDataBytes: modelArtifacts.weightData == null ?\n        0 :\n        modelArtifacts.weightData.byteLength,\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {IOHandler} from './types';\n\nexport type IORouter = (url: string|string[], onProgress?: Function) =>\n    IOHandler;\n\nexport class IORouterRegistry {\n  // Singleton instance.\n  private static instance: IORouterRegistry;\n\n  private saveRouters: IORouter[];\n  private loadRouters: IORouter[];\n\n  private constructor() {\n    this.saveRouters = [];\n    this.loadRouters = [];\n  }\n\n  private static getInstance(): IORouterRegistry {\n    if (IORouterRegistry.instance == null) {\n      IORouterRegistry.instance = new IORouterRegistry();\n    }\n    return IORouterRegistry.instance;\n  }\n\n  /**\n   * Register a save-handler router.\n   *\n   * @param saveRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `save` method defined or `null`.\n   */\n  static registerSaveRouter(saveRouter: IORouter) {\n    IORouterRegistry.getInstance().saveRouters.push(saveRouter);\n  }\n\n  /**\n   * Register a load-handler router.\n   *\n   * @param loadRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `load` method defined or `null`.\n   */\n  static registerLoadRouter(loadRouter: IORouter) {\n    IORouterRegistry.getInstance().loadRouters.push(loadRouter);\n  }\n\n  /**\n   * Look up IOHandler for saving, given a URL-like string.\n   *\n   * @param url\n   * @returns If only one match is found, an instance of IOHandler with the\n   * `save` method defined. If no match is found, `null`.\n   * @throws Error, if more than one match is found.\n   */\n  static getSaveHandlers(url: string|string[]): IOHandler[] {\n    return IORouterRegistry.getHandlers(url, 'save');\n  }\n\n  /**\n   * Look up IOHandler for loading, given a URL-like string.\n   *\n   * @param url\n   * @param onProgress Optional, progress callback function, fired periodically\n   *   before the load is completed.\n   * @returns All valid handlers for `url`, given the currently registered\n   *   handler routers.\n   */\n  static getLoadHandlers(url: string|string[], onProgress?: Function):\n      IOHandler[] {\n    return IORouterRegistry.getHandlers(url, 'load', onProgress);\n  }\n\n  private static getHandlers(\n      url: string|string[], handlerType: 'save'|'load',\n      onProgress?: Function): IOHandler[] {\n    const validHandlers: IOHandler[] = [];\n    const routers = handlerType === 'load' ?\n        IORouterRegistry.getInstance().loadRouters :\n        IORouterRegistry.getInstance().saveRouters;\n    routers.forEach(router => {\n      const handler = router(url, onProgress);\n      if (handler !== null) {\n        validHandlers.push(handler);\n      }\n    });\n    return validHandlers;\n  }\n}\n\nexport const registerSaveRouter = (loudRouter: IORouter) =>\n    IORouterRegistry.registerSaveRouter(loudRouter);\nexport const registerLoadRouter = (loudRouter: IORouter) =>\n    IORouterRegistry.registerLoadRouter(loudRouter);\nexport const getSaveHandlers = (url: string|string[]) =>\n    IORouterRegistry.getSaveHandlers(url);\nexport const getLoadHandlers = (url: string|string[], onProgress?: Function) =>\n    IORouterRegistry.getLoadHandlers(url, onProgress);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Classes and functions for model management across multiple storage mediums.\n *\n * Supported client actions:\n * - Listing models on all registered storage mediums.\n * - Remove model by URL from any registered storage mediums, by using URL\n *   string.\n * - Moving or copying model from one path to another in the same medium or from\n *   one medium to another, by using URL strings.\n */\n\nimport {assert} from '../util';\n\nimport {IORouterRegistry} from './router_registry';\nimport {ModelArtifactsInfo, ModelStoreManager} from './types';\n\nconst URL_SCHEME_SUFFIX = '://';\n\nexport class ModelStoreManagerRegistry {\n  // Singleton instance.\n  private static instance: ModelStoreManagerRegistry;\n\n  private managers: {[scheme: string]: ModelStoreManager};\n\n  private constructor() {\n    this.managers = {};\n  }\n\n  private static getInstance(): ModelStoreManagerRegistry {\n    if (ModelStoreManagerRegistry.instance == null) {\n      ModelStoreManagerRegistry.instance = new ModelStoreManagerRegistry();\n    }\n    return ModelStoreManagerRegistry.instance;\n  }\n\n  /**\n   * Register a save-handler router.\n   *\n   * @param saveRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `save` method defined or `null`.\n   */\n  static registerManager(scheme: string, manager: ModelStoreManager) {\n    assert(scheme != null, () => 'scheme must not be undefined or null.');\n    if (scheme.endsWith(URL_SCHEME_SUFFIX)) {\n      scheme = scheme.slice(0, scheme.indexOf(URL_SCHEME_SUFFIX));\n    }\n    assert(scheme.length > 0, () => 'scheme must not be an empty string.');\n    const registry = ModelStoreManagerRegistry.getInstance();\n    assert(\n        registry.managers[scheme] == null,\n        () => `A model store manager is already registered for scheme '${\n            scheme}'.`);\n    registry.managers[scheme] = manager;\n  }\n\n  static getManager(scheme: string): ModelStoreManager {\n    const manager = this.getInstance().managers[scheme];\n    if (manager == null) {\n      throw new Error(`Cannot find model manager for scheme '${scheme}'`);\n    }\n    return manager;\n  }\n\n  static getSchemes(): string[] {\n    return Object.keys(this.getInstance().managers);\n  }\n}\n\n/**\n * Helper method for parsing a URL string into a scheme and a path.\n *\n * @param url E.g., 'localstorage://my-model'\n * @returns A dictionary with two fields: scheme and path.\n *   Scheme: e.g., 'localstorage' in the example above.\n *   Path: e.g., 'my-model' in the example above.\n */\nfunction parseURL(url: string): {scheme: string, path: string} {\n  if (url.indexOf(URL_SCHEME_SUFFIX) === -1) {\n    throw new Error(\n        `The url string provided does not contain a scheme. ` +\n        `Supported schemes are: ` +\n        `${ModelStoreManagerRegistry.getSchemes().join(',')}`);\n  }\n  return {\n    scheme: url.split(URL_SCHEME_SUFFIX)[0],\n    path: url.split(URL_SCHEME_SUFFIX)[1],\n  };\n}\n\nasync function cloneModelInternal(\n    sourceURL: string, destURL: string,\n    deleteSource = false): Promise<ModelArtifactsInfo> {\n  assert(\n      sourceURL !== destURL,\n      () => `Old path and new path are the same: '${sourceURL}'`);\n\n  const loadHandlers = IORouterRegistry.getLoadHandlers(sourceURL);\n  assert(\n      loadHandlers.length > 0,\n      () => `Copying failed because no load handler is found for source URL ${\n          sourceURL}.`);\n  assert(\n      loadHandlers.length < 2,\n      () => `Copying failed because more than one (${loadHandlers.length}) ` +\n          `load handlers for source URL ${sourceURL}.`);\n  const loadHandler = loadHandlers[0];\n\n  const saveHandlers = IORouterRegistry.getSaveHandlers(destURL);\n  assert(\n      saveHandlers.length > 0,\n      () => `Copying failed because no save handler is found for destination ` +\n          `URL ${destURL}.`);\n  assert(\n      saveHandlers.length < 2,\n      () => `Copying failed because more than one (${loadHandlers.length}) ` +\n          `save handlers for destination URL ${destURL}.`);\n  const saveHandler = saveHandlers[0];\n\n  const sourceScheme = parseURL(sourceURL).scheme;\n  const sourcePath = parseURL(sourceURL).path;\n  const sameMedium = sourceScheme === parseURL(sourceURL).scheme;\n\n  const modelArtifacts = await loadHandler.load();\n\n  // If moving within the same storage medium, remove the old model as soon as\n  // the loading is done. Without doing this, it is possible that the combined\n  // size of the two models will cause the cloning to fail.\n  if (deleteSource && sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme)\n        .removeModel(sourcePath);\n  }\n\n  const saveResult = await saveHandler.save(modelArtifacts);\n\n  // If moving between mediums, the deletion is done after the save succeeds.\n  // This guards against the case in which saving to the destination medium\n  // fails.\n  if (deleteSource && !sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme)\n        .removeModel(sourcePath);\n  }\n\n  return saveResult.modelArtifactsInfo;\n}\n\n/**\n * List all models stored in registered storage mediums.\n *\n * For a web browser environment, the registered mediums are Local Storage and\n * IndexedDB.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @returns A `Promise` of a dictionary mapping URLs of existing models to\n * their model artifacts info. URLs include medium-specific schemes, e.g.,\n *   'indexeddb://my/model/1'. Model artifacts info include type of the\n * model's topology, byte sizes of the topology, weights, etc.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function listModels(): Promise<{[url: string]: ModelArtifactsInfo}> {\n  const schemes = ModelStoreManagerRegistry.getSchemes();\n  const out: {[url: string]: ModelArtifactsInfo} = {};\n  for (const scheme of schemes) {\n    const schemeOut =\n        await ModelStoreManagerRegistry.getManager(scheme).listModels();\n    for (const path in schemeOut) {\n      const url = scheme + URL_SCHEME_SUFFIX + path;\n      out[url] = schemeOut[path];\n    }\n  }\n  return out;\n}\n\n/**\n * Remove a model specified by URL from a reigstered storage medium.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @param url A URL to a stored model, with a scheme prefix, e.g.,\n *   'localstorage://my-model-1', 'indexeddb://my/model/2'.\n * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n *   is successful).\n * @throws Error if deletion fails, e.g., if no model exists at `path`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function removeModel(url: string): Promise<ModelArtifactsInfo> {\n  const schemeAndPath = parseURL(url);\n  const manager = ModelStoreManagerRegistry.getManager(schemeAndPath.scheme);\n  return manager.removeModel(schemeAndPath.path);\n}\n\n/**\n * Copy a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Copying within a storage medium, e.g.,\n *    `tf.io.copyModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Copying between two storage mediums, e.g.,\n *    `tf.io.copyModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Copy the model, from Local Storage to IndexedDB.\n * await tf.io.copyModel(\n *     'localstorage://demo/management/model1',\n *     'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove both models.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of copying.\n * @param destURL Destination URL of copying.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n *   is successful).\n * @throws Error if copying fails, e.g., if no model exists at `sourceURL`, or\n *   if `oldPath` and `newPath` are identical.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function copyModel(\n    sourceURL: string, destURL: string): Promise<ModelArtifactsInfo> {\n  const deleteSource = false;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n\n/**\n * Move a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Moving within a storage medium, e.g.,\n *    `tf.io.moveModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Moving between two storage mediums, e.g.,\n *    `tf.io.moveModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Move the model, from Local Storage to IndexedDB.\n * await tf.io.moveModel(\n *     'localstorage://demo/management/model1',\n *     'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove the moved model.\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of moving.\n * @param destURL Destination URL of moving.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n *   is successful).\n * @throws Error if moving fails, e.g., if no model exists at `sourceURL`, or\n *   if `oldPath` and `newPath` are identical.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function moveModel(\n    sourceURL: string, destURL: string): Promise<ModelArtifactsInfo> {\n  const deleteSource = true;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n\nexport {moveModel, copyModel, removeModel, listModels};\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {getModelArtifactsInfoForJSON} from './io_utils';\nimport {ModelStoreManagerRegistry} from './model_management';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelArtifactsInfo, ModelStoreManager, SaveResult} from './types';\n\nconst DATABASE_NAME = 'tensorflowjs';\nconst DATABASE_VERSION = 1;\n\n// Model data and ModelArtifactsInfo (metadata) are stored in two separate\n// stores for efficient access of the list of stored models and their metadata.\n// 1. The object store for model data: topology, weights and weight manifests.\nconst MODEL_STORE_NAME = 'models_store';\n// 2. The object store for ModelArtifactsInfo, including meta-information such\n//    as the type of topology (JSON vs binary), byte size of the topology, byte\n//    size of the weights, etc.\nconst INFO_STORE_NAME = 'model_info_store';\n\n/**\n * Delete the entire database for tensorflow.js, including the models store.\n */\nexport async function deleteDatabase(): Promise<void> {\n  const idbFactory = getIndexedDBFactory();\n\n  return new Promise<void>((resolve, reject) => {\n    const deleteRequest = idbFactory.deleteDatabase(DATABASE_NAME);\n    deleteRequest.onsuccess = () => resolve();\n    deleteRequest.onerror = error => reject(error);\n  });\n}\n\nfunction getIndexedDBFactory(): IDBFactory {\n  if (!env().getBool('IS_BROWSER')) {\n    // TODO(cais): Add more info about what IOHandler subtypes are available.\n    //   Maybe point to a doc page on the web and/or automatically determine\n    //   the available IOHandlers and print them in the error message.\n    throw new Error(\n        'Failed to obtain IndexedDB factory because the current environment' +\n        'is not a web browser.');\n  }\n  // tslint:disable-next-line:no-any\n  const theWindow: any = window;\n  const factory = theWindow.indexedDB || theWindow.mozIndexedDB ||\n      theWindow.webkitIndexedDB || theWindow.msIndexedDB ||\n      theWindow.shimIndexedDB;\n  if (factory == null) {\n    throw new Error(\n        'The current browser does not appear to support IndexedDB.');\n  }\n  return factory;\n}\n\nfunction setUpDatabase(openRequest: IDBRequest) {\n  const db = openRequest.result as IDBDatabase;\n  db.createObjectStore(MODEL_STORE_NAME, {keyPath: 'modelPath'});\n  db.createObjectStore(INFO_STORE_NAME, {keyPath: 'modelPath'});\n}\n\n/**\n * IOHandler subclass: Browser IndexedDB.\n *\n * See the doc string of `browserIndexedDB` for more details.\n */\nexport class BrowserIndexedDB implements IOHandler {\n  protected readonly indexedDB: IDBFactory;\n  protected readonly modelPath: string;\n\n  static readonly URL_SCHEME = 'indexeddb://';\n\n  constructor(modelPath: string) {\n    this.indexedDB = getIndexedDBFactory();\n\n    if (modelPath == null || !modelPath) {\n      throw new Error(\n          'For IndexedDB, modelPath must not be null, undefined or empty.');\n    }\n    this.modelPath = modelPath;\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    // TODO(cais): Support saving GraphDef models.\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserLocalStorage.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    }\n\n    return this.databaseAction(this.modelPath, modelArtifacts) as\n        Promise<SaveResult>;\n  }\n\n  async load(): Promise<ModelArtifacts> {\n    return this.databaseAction(this.modelPath) as Promise<ModelArtifacts>;\n  }\n\n  /**\n   * Perform database action to put model artifacts into or read model artifacts\n   * from IndexedDB object store.\n   *\n   * Whether the action is put or get depends on whether `modelArtifacts` is\n   * specified. If it is specified, the action will be put; otherwise the action\n   * will be get.\n   *\n   * @param modelPath A unique string path for the model.\n   * @param modelArtifacts If specified, it will be the model artifacts to be\n   *   stored in IndexedDB.\n   * @returns A `Promise` of `SaveResult`, if the action is put, or a `Promise`\n   *   of `ModelArtifacts`, if the action is get.\n   */\n  private databaseAction(modelPath: string, modelArtifacts?: ModelArtifacts):\n      Promise<ModelArtifacts|SaveResult> {\n    return new Promise<ModelArtifacts|SaveResult>((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n\n        if (modelArtifacts == null) {\n          // Read model out from object store.\n          const modelTx = db.transaction(MODEL_STORE_NAME, 'readonly');\n          const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n          const getRequest = modelStore.get(this.modelPath);\n          getRequest.onsuccess = () => {\n            if (getRequest.result == null) {\n              db.close();\n              return reject(new Error(\n                  `Cannot find model with path '${this.modelPath}' ` +\n                  `in IndexedDB.`));\n            } else {\n              resolve(getRequest.result.modelArtifacts);\n            }\n          };\n          getRequest.onerror = error => {\n            db.close();\n            return reject(getRequest.error);\n          };\n          modelTx.oncomplete = () => db.close();\n        } else {\n          // Put model into object store.\n          const modelArtifactsInfo: ModelArtifactsInfo =\n              getModelArtifactsInfoForJSON(modelArtifacts);\n          // First, put ModelArtifactsInfo into info store.\n          const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n          let infoStore = infoTx.objectStore(INFO_STORE_NAME);\n          const putInfoRequest =\n              infoStore.put({modelPath: this.modelPath, modelArtifactsInfo});\n          let modelTx: IDBTransaction;\n          putInfoRequest.onsuccess = () => {\n            // Second, put model data into model store.\n            modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n            const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n            const putModelRequest = modelStore.put({\n              modelPath: this.modelPath,\n              modelArtifacts,\n              modelArtifactsInfo\n            });\n            putModelRequest.onsuccess = () => resolve({modelArtifactsInfo});\n            putModelRequest.onerror = error => {\n              // If the put-model request fails, roll back the info entry as\n              // well.\n              infoStore = infoTx.objectStore(INFO_STORE_NAME);\n              const deleteInfoRequest = infoStore.delete(this.modelPath);\n              deleteInfoRequest.onsuccess = () => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n              deleteInfoRequest.onerror = error => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n            };\n          };\n          putInfoRequest.onerror = error => {\n            db.close();\n            return reject(putInfoRequest.error);\n          };\n          infoTx.oncomplete = () => {\n            if (modelTx == null) {\n              db.close();\n            } else {\n              modelTx.oncomplete = () => db.close();\n            }\n          };\n        }\n      };\n      openRequest.onerror = error => reject(openRequest.error);\n    });\n  }\n}\n\nexport const indexedDBRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserIndexedDB.URL_SCHEME)) {\n      return browserIndexedDB(url.slice(BrowserIndexedDB.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(indexedDBRouter);\nIORouterRegistry.registerLoadRouter(indexedDBRouter);\n\n/**\n * Creates a browser IndexedDB IOHandler for saving and loading models.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save('indexeddb://MyModel'));\n * console.log(saveResult);\n * ```\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n *   non-empty string.\n * @returns An instance of `BrowserIndexedDB` (sublcass of `IOHandler`),\n *   which can be used with, e.g., `tf.Model.save`.\n */\nexport function browserIndexedDB(modelPath: string): IOHandler {\n  return new BrowserIndexedDB(modelPath);\n}\n\nfunction maybeStripScheme(key: string) {\n  return key.startsWith(BrowserIndexedDB.URL_SCHEME) ?\n      key.slice(BrowserIndexedDB.URL_SCHEME.length) :\n      key;\n}\n\nexport class BrowserIndexedDBManager implements ModelStoreManager {\n  private indexedDB: IDBFactory;\n\n  constructor() {\n    this.indexedDB = getIndexedDBFactory();\n  }\n\n  async listModels(): Promise<{[path: string]: ModelArtifactsInfo}> {\n    return new Promise<{[path: string]: ModelArtifactsInfo}>(\n        (resolve, reject) => {\n          const openRequest =\n              this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n          openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n          openRequest.onsuccess = () => {\n            const db = openRequest.result;\n            const tx = db.transaction(INFO_STORE_NAME, 'readonly');\n            const store = tx.objectStore(INFO_STORE_NAME);\n            // tslint:disable:max-line-length\n            // Need to cast `store` as `any` here because TypeScript's DOM\n            // library does not have the `getAll()` method even though the\n            // method is supported in the latest version of most mainstream\n            // browsers:\n            // https://developer.mozilla.org/en-US/docs/Web/API/IDBObjectStore/getAll\n            // tslint:enable:max-line-length\n            // tslint:disable-next-line:no-any\n            const getAllInfoRequest = (store as any).getAll() as IDBRequest;\n            getAllInfoRequest.onsuccess = () => {\n              const out: {[path: string]: ModelArtifactsInfo} = {};\n              for (const item of getAllInfoRequest.result) {\n                out[item.modelPath] = item.modelArtifactsInfo;\n              }\n              resolve(out);\n            };\n            getAllInfoRequest.onerror = error => {\n              db.close();\n              return reject(getAllInfoRequest.error);\n            };\n            tx.oncomplete = () => db.close();\n          };\n          openRequest.onerror = error => reject(openRequest.error);\n        });\n  }\n\n  async removeModel(path: string): Promise<ModelArtifactsInfo> {\n    path = maybeStripScheme(path);\n    return new Promise<ModelArtifactsInfo>((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n        const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n        const infoStore = infoTx.objectStore(INFO_STORE_NAME);\n\n        const getInfoRequest = infoStore.get(path);\n        let modelTx: IDBTransaction;\n        getInfoRequest.onsuccess = () => {\n          if (getInfoRequest.result == null) {\n            db.close();\n            return reject(new Error(\n                `Cannot find model with path '${path}' ` +\n                `in IndexedDB.`));\n          } else {\n            // First, delete the entry in the info store.\n            const deleteInfoRequest = infoStore.delete(path);\n            const deleteModelData = () => {\n              // Second, delete the entry in the model store.\n              modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n              const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n              const deleteModelRequest = modelStore.delete(path);\n              deleteModelRequest.onsuccess = () =>\n                  resolve(getInfoRequest.result.modelArtifactsInfo);\n              deleteModelRequest.onerror = error =>\n                  reject(getInfoRequest.error);\n            };\n            // Proceed with deleting model data regardless of whether deletion\n            // of info data succeeds or not.\n            deleteInfoRequest.onsuccess = deleteModelData;\n            deleteInfoRequest.onerror = error => {\n              deleteModelData();\n              db.close();\n              return reject(getInfoRequest.error);\n            };\n          }\n        };\n        getInfoRequest.onerror = error => {\n          db.close();\n          return reject(getInfoRequest.error);\n        };\n\n        infoTx.oncomplete = () => {\n          if (modelTx == null) {\n            db.close();\n          } else {\n            modelTx.oncomplete = () => db.close();\n          }\n        };\n      };\n      openRequest.onerror = error => reject(openRequest.error);\n    });\n  }\n}\n\nif (env().getBool('IS_BROWSER')) {\n  // Wrap the construction and registration, to guard against browsers that\n  // don't support Local Storage.\n  try {\n    ModelStoreManagerRegistry.registerManager(\n        BrowserIndexedDB.URL_SCHEME, new BrowserIndexedDBManager());\n  } catch (err) {\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {assert} from '../util';\nimport {arrayBufferToBase64String, base64StringToArrayBuffer, getModelArtifactsInfoForJSON} from './io_utils';\nimport {ModelStoreManagerRegistry} from './model_management';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelArtifactsInfo, ModelStoreManager, SaveResult} from './types';\n\nconst PATH_SEPARATOR = '/';\nconst PATH_PREFIX = 'tensorflowjs_models';\nconst INFO_SUFFIX = 'info';\nconst MODEL_TOPOLOGY_SUFFIX = 'model_topology';\nconst WEIGHT_SPECS_SUFFIX = 'weight_specs';\nconst WEIGHT_DATA_SUFFIX = 'weight_data';\nconst MODEL_METADATA_SUFFIX = 'model_metadata';\n\n/**\n * Purge all tensorflow.js-saved model artifacts from local storage.\n *\n * @returns Paths of the models purged.\n */\nexport function purgeLocalStorageArtifacts(): string[] {\n  if (!env().getBool('IS_BROWSER') ||\n      typeof window.localStorage === 'undefined') {\n    throw new Error(\n        'purgeLocalStorageModels() cannot proceed because local storage is ' +\n        'unavailable in the current environment.');\n  }\n  const LS = window.localStorage;\n  const purgedModelPaths: string[] = [];\n  for (let i = 0; i < LS.length; ++i) {\n    const key = LS.key(i);\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    if (key.startsWith(prefix) && key.length > prefix.length) {\n      LS.removeItem(key);\n      const modelName = getModelPathFromKey(key);\n      if (purgedModelPaths.indexOf(modelName) === -1) {\n        purgedModelPaths.push(modelName);\n      }\n    }\n  }\n  return purgedModelPaths;\n}\n\nfunction getModelKeys(path: string): {\n  info: string,\n  topology: string,\n  weightSpecs: string,\n  weightData: string,\n  modelMetadata: string\n} {\n  return {\n    info: [PATH_PREFIX, path, INFO_SUFFIX].join(PATH_SEPARATOR),\n    topology: [PATH_PREFIX, path, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),\n    weightSpecs: [PATH_PREFIX, path, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),\n    weightData: [PATH_PREFIX, path, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR),\n    modelMetadata:\n        [PATH_PREFIX, path, MODEL_METADATA_SUFFIX].join(PATH_SEPARATOR)\n  };\n}\n\n/**\n * Get model path from a local-storage key.\n *\n * E.g., 'tensorflowjs_models/my/model/1/info' --> 'my/model/1'\n *\n * @param key\n */\nfunction getModelPathFromKey(key: string) {\n  const items = key.split(PATH_SEPARATOR);\n  if (items.length < 3) {\n    throw new Error(`Invalid key format: ${key}`);\n  }\n  return items.slice(1, items.length - 1).join(PATH_SEPARATOR);\n}\n\nfunction maybeStripScheme(key: string) {\n  return key.startsWith(BrowserLocalStorage.URL_SCHEME) ?\n      key.slice(BrowserLocalStorage.URL_SCHEME.length) :\n      key;\n}\n\ndeclare type LocalStorageKeys = {\n  info: string,\n  topology: string,\n  weightSpecs: string,\n  weightData: string,\n  modelMetadata: string\n};\n\n/**\n * IOHandler subclass: Browser Local Storage.\n *\n * See the doc string to `browserLocalStorage` for more details.\n */\nexport class BrowserLocalStorage implements IOHandler {\n  protected readonly LS: Storage;\n  protected readonly modelPath: string;\n  protected readonly keys: LocalStorageKeys;\n\n  static readonly URL_SCHEME = 'localstorage://';\n\n  constructor(modelPath: string) {\n    if (!env().getBool('IS_BROWSER') ||\n        typeof window.localStorage === 'undefined') {\n      // TODO(cais): Add more info about what IOHandler subtypes are\n      // available.\n      //   Maybe point to a doc page on the web and/or automatically determine\n      //   the available IOHandlers and print them in the error message.\n      throw new Error(\n          'The current environment does not support local storage.');\n    }\n    this.LS = window.localStorage;\n\n    if (modelPath == null || !modelPath) {\n      throw new Error(\n          'For local storage, modelPath must not be null, undefined or empty.');\n    }\n    this.modelPath = modelPath;\n    this.keys = getModelKeys(this.modelPath);\n  }\n\n  /**\n   * Save model artifacts to browser local storage.\n   *\n   * See the documentation to `browserLocalStorage` for details on the saved\n   * artifacts.\n   *\n   * @param modelArtifacts The model artifacts to be stored.\n   * @returns An instance of SaveResult.\n   */\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserLocalStorage.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    } else {\n      const topology = JSON.stringify(modelArtifacts.modelTopology);\n      const weightSpecs = JSON.stringify(modelArtifacts.weightSpecs);\n\n      const modelArtifactsInfo: ModelArtifactsInfo =\n          getModelArtifactsInfoForJSON(modelArtifacts);\n\n      try {\n        this.LS.setItem(this.keys.info, JSON.stringify(modelArtifactsInfo));\n        this.LS.setItem(this.keys.topology, topology);\n        this.LS.setItem(this.keys.weightSpecs, weightSpecs);\n        this.LS.setItem(\n            this.keys.weightData,\n            arrayBufferToBase64String(modelArtifacts.weightData));\n        this.LS.setItem(this.keys.modelMetadata, JSON.stringify({\n          format: modelArtifacts.format,\n          generatedBy: modelArtifacts.generatedBy,\n          convertedBy: modelArtifacts.convertedBy,\n          userDefinedMetadata: modelArtifacts.userDefinedMetadata\n        }));\n\n        return {modelArtifactsInfo};\n      } catch (err) {\n        // If saving failed, clean up all items saved so far.\n        this.LS.removeItem(this.keys.info);\n        this.LS.removeItem(this.keys.topology);\n        this.LS.removeItem(this.keys.weightSpecs);\n        this.LS.removeItem(this.keys.weightData);\n        this.LS.removeItem(this.keys.modelMetadata);\n\n        throw new Error(\n            `Failed to save model '${this.modelPath}' to local storage: ` +\n            `size quota being exceeded is a possible cause of this failure: ` +\n            `modelTopologyBytes=${modelArtifactsInfo.modelTopologyBytes}, ` +\n            `weightSpecsBytes=${modelArtifactsInfo.weightSpecsBytes}, ` +\n            `weightDataBytes=${modelArtifactsInfo.weightDataBytes}.`);\n      }\n    }\n  }\n\n  /**\n   * Load a model from local storage.\n   *\n   * See the documentation to `browserLocalStorage` for details on the saved\n   * artifacts.\n   *\n   * @returns The loaded model (if loading succeeds).\n   */\n  async load(): Promise<ModelArtifacts> {\n    const info =\n        JSON.parse(this.LS.getItem(this.keys.info)) as ModelArtifactsInfo;\n    if (info == null) {\n      throw new Error(\n          `In local storage, there is no model with name '${this.modelPath}'`);\n    }\n\n    if (info.modelTopologyType !== 'JSON') {\n      throw new Error(\n          'BrowserLocalStorage does not support loading non-JSON model ' +\n          'topology yet.');\n    }\n\n    const out: ModelArtifacts = {};\n\n    // Load topology.\n    const topology = JSON.parse(this.LS.getItem(this.keys.topology));\n    if (topology == null) {\n      throw new Error(\n          `In local storage, the topology of model '${this.modelPath}' ` +\n          `is missing.`);\n    }\n    out.modelTopology = topology;\n\n    // Load weight specs.\n    const weightSpecs = JSON.parse(this.LS.getItem(this.keys.weightSpecs));\n    if (weightSpecs == null) {\n      throw new Error(\n          `In local storage, the weight specs of model '${this.modelPath}' ` +\n          `are missing.`);\n    }\n    out.weightSpecs = weightSpecs;\n\n    // Load meta-data fields.\n    const metadataString = this.LS.getItem(this.keys.modelMetadata);\n    if (metadataString != null) {\n      const metadata = JSON.parse(metadataString) as ModelArtifacts;\n      out.format = metadata['format'];\n      out.generatedBy = metadata['generatedBy'];\n      out.convertedBy = metadata['convertedBy'];\n      out.userDefinedMetadata = metadata['userDefinedMetadata'];\n    }\n\n    // Load weight data.\n    const weightDataBase64 = this.LS.getItem(this.keys.weightData);\n    if (weightDataBase64 == null) {\n      throw new Error(\n          `In local storage, the binary weight values of model ` +\n          `'${this.modelPath}' are missing.`);\n    }\n    out.weightData = base64StringToArrayBuffer(weightDataBase64);\n\n    return out;\n  }\n}\n\nexport const localStorageRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserLocalStorage.URL_SCHEME)) {\n      return browserLocalStorage(\n          url.slice(BrowserLocalStorage.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(localStorageRouter);\nIORouterRegistry.registerLoadRouter(localStorageRouter);\n\n/**\n * Factory function for local storage IOHandler.\n *\n * This `IOHandler` supports both `save` and `load`.\n *\n * For each model's saved artifacts, four items are saved to local storage.\n *   - `${PATH_SEPARATOR}/${modelPath}/info`: Contains meta-info about the\n *     model, such as date saved, type of the topology, size in bytes, etc.\n *   - `${PATH_SEPARATOR}/${modelPath}/topology`: Model topology. For Keras-\n *     style models, this is a stringized JSON.\n *   - `${PATH_SEPARATOR}/${modelPath}/weight_specs`: Weight specs of the\n *     model, can be used to decode the saved binary weight values (see\n *     item below).\n *   - `${PATH_SEPARATOR}/${modelPath}/weight_data`: Concatenated binary\n *     weight values, stored as a base64-encoded string.\n *\n * Saving may throw an `Error` if the total size of the artifacts exceed the\n * browser-specific quota.\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n *   non-empty string.\n * @returns An instance of `IOHandler`, which can be used with, e.g.,\n *   `tf.Model.save`.\n */\nexport function browserLocalStorage(modelPath: string): IOHandler {\n  return new BrowserLocalStorage(modelPath);\n}\n\nexport class BrowserLocalStorageManager implements ModelStoreManager {\n  private readonly LS: Storage;\n\n  constructor() {\n    assert(\n        env().getBool('IS_BROWSER'),\n        () => 'Current environment is not a web browser');\n    assert(\n        typeof window.localStorage !== 'undefined',\n        () => 'Current browser does not appear to support localStorage');\n    this.LS = window.localStorage;\n  }\n\n  async listModels(): Promise<{[path: string]: ModelArtifactsInfo}> {\n    const out: {[path: string]: ModelArtifactsInfo} = {};\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    const suffix = PATH_SEPARATOR + INFO_SUFFIX;\n    for (let i = 0; i < this.LS.length; ++i) {\n      const key = this.LS.key(i);\n      if (key.startsWith(prefix) && key.endsWith(suffix)) {\n        const modelPath = getModelPathFromKey(key);\n        out[modelPath] = JSON.parse(this.LS.getItem(key)) as ModelArtifactsInfo;\n      }\n    }\n    return out;\n  }\n\n  async removeModel(path: string): Promise<ModelArtifactsInfo> {\n    path = maybeStripScheme(path);\n    const keys = getModelKeys(path);\n    if (this.LS.getItem(keys.info) == null) {\n      throw new Error(`Cannot find model at path '${path}'`);\n    }\n    const info = JSON.parse(this.LS.getItem(keys.info)) as ModelArtifactsInfo;\n\n    this.LS.removeItem(keys.info);\n    this.LS.removeItem(keys.topology);\n    this.LS.removeItem(keys.weightSpecs);\n    this.LS.removeItem(keys.weightData);\n    return info;\n  }\n}\n\nif (env().getBool('IS_BROWSER')) {\n  // Wrap the construction and registration, to guard against browsers that\n  // don't support Local Storage.\n  try {\n    ModelStoreManagerRegistry.registerManager(\n        BrowserLocalStorage.URL_SCHEME, new BrowserLocalStorageManager());\n  } catch (err) {\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandlers related to files, such as browser-triggered file downloads,\n * user-selected files in browser.\n */\n\nimport {env} from '../environment';\n\nimport {basename, concatenateArrayBuffers, getModelArtifactsInfoForJSON} from './io_utils';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelJSON, SaveResult, WeightsManifestConfig, WeightsManifestEntry} from './types';\n\nconst DEFAULT_FILE_NAME_PREFIX = 'model';\nconst DEFAULT_JSON_EXTENSION_NAME = '.json';\nconst DEFAULT_WEIGHT_DATA_EXTENSION_NAME = '.weights.bin';\n\nfunction defer<T>(f: () => T): Promise<T> {\n  return new Promise(resolve => setTimeout(resolve)).then(f);\n}\n\nexport class BrowserDownloads implements IOHandler {\n  private readonly modelTopologyFileName: string;\n  private readonly weightDataFileName: string;\n  private readonly jsonAnchor: HTMLAnchorElement;\n  private readonly weightDataAnchor: HTMLAnchorElement;\n\n  static readonly URL_SCHEME = 'downloads://';\n\n  constructor(fileNamePrefix?: string) {\n    if (!env().getBool('IS_BROWSER')) {\n      // TODO(cais): Provide info on what IOHandlers are available under the\n      //   current environment.\n      throw new Error(\n          'browserDownloads() cannot proceed because the current environment ' +\n          'is not a browser.');\n    }\n\n    if (fileNamePrefix.startsWith(BrowserDownloads.URL_SCHEME)) {\n      fileNamePrefix = fileNamePrefix.slice(BrowserDownloads.URL_SCHEME.length);\n    }\n    if (fileNamePrefix == null || fileNamePrefix.length === 0) {\n      fileNamePrefix = DEFAULT_FILE_NAME_PREFIX;\n    }\n\n    this.modelTopologyFileName = fileNamePrefix + DEFAULT_JSON_EXTENSION_NAME;\n    this.weightDataFileName =\n        fileNamePrefix + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (typeof (document) === 'undefined') {\n      throw new Error(\n          'Browser downloads are not supported in ' +\n          'this environment since `document` is not present');\n    }\n    const weightsURL = window.URL.createObjectURL(new Blob(\n        [modelArtifacts.weightData], {type: 'application/octet-stream'}));\n\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserDownloads.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    } else {\n      const weightsManifest: WeightsManifestConfig = [{\n        paths: ['./' + this.weightDataFileName],\n        weights: modelArtifacts.weightSpecs\n      }];\n      const modelTopologyAndWeightManifest: ModelJSON = {\n        modelTopology: modelArtifacts.modelTopology,\n        format: modelArtifacts.format,\n        generatedBy: modelArtifacts.generatedBy,\n        convertedBy: modelArtifacts.convertedBy,\n        weightsManifest\n      };\n      const modelTopologyAndWeightManifestURL =\n          window.URL.createObjectURL(new Blob(\n              [JSON.stringify(modelTopologyAndWeightManifest)],\n              {type: 'application/json'}));\n\n      // If anchor elements are not provided, create them without attaching them\n      // to parents, so that the downloaded file names can be controlled.\n      const jsonAnchor = this.jsonAnchor == null ? document.createElement('a') :\n                                                   this.jsonAnchor;\n      jsonAnchor.download = this.modelTopologyFileName;\n      jsonAnchor.href = modelTopologyAndWeightManifestURL;\n      // Trigger downloads by evoking a click event on the download anchors.\n      // When multiple downloads are started synchronously, Firefox will only\n      // save the last one.\n      await defer(() => jsonAnchor.dispatchEvent(new MouseEvent('click')));\n\n      if (modelArtifacts.weightData != null) {\n        const weightDataAnchor = this.weightDataAnchor == null ?\n            document.createElement('a') :\n            this.weightDataAnchor;\n        weightDataAnchor.download = this.weightDataFileName;\n        weightDataAnchor.href = weightsURL;\n        await defer(\n            () => weightDataAnchor.dispatchEvent(new MouseEvent('click')));\n      }\n\n      return {modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts)};\n    }\n  }\n}\n\nclass BrowserFiles implements IOHandler {\n  private readonly files: File[];\n\n  constructor(files: File[]) {\n    if (files == null || files.length < 1) {\n      throw new Error(\n          `When calling browserFiles, at least 1 file is required, ` +\n          `but received ${files}`);\n    }\n    this.files = files;\n  }\n\n  async load(): Promise<ModelArtifacts> {\n    const jsonFile = this.files[0];\n    const weightFiles = this.files.slice(1);\n\n    return new Promise<ModelArtifacts>((resolve, reject) => {\n      const jsonReader = new FileReader();\n      jsonReader.onload = (event: Event) => {\n        // tslint:disable-next-line:no-any\n        const modelJSON = JSON.parse((event.target as any).result) as ModelJSON;\n        const modelTopology = modelJSON.modelTopology;\n        if (modelTopology == null) {\n          reject(new Error(\n              `modelTopology field is missing from file ${jsonFile.name}`));\n          return;\n        }\n\n        if (weightFiles.length === 0) {\n          resolve({modelTopology});\n        }\n\n        const weightsManifest = modelJSON.weightsManifest;\n        if (weightsManifest == null) {\n          reject(new Error(\n              `weightManifest field is missing from file ${jsonFile.name}`));\n          return;\n        }\n\n        let pathToFile: {[path: string]: File};\n        try {\n          pathToFile =\n              this.checkManifestAndWeightFiles(weightsManifest, weightFiles);\n        } catch (err) {\n          reject(err);\n          return;\n        }\n\n        const weightSpecs: WeightsManifestEntry[] = [];\n        const paths: string[] = [];\n        const perFileBuffers: ArrayBuffer[] = [];\n        weightsManifest.forEach(weightsGroup => {\n          weightsGroup.paths.forEach(path => {\n            paths.push(path);\n            perFileBuffers.push(null);\n          });\n          weightSpecs.push(...weightsGroup.weights);\n        });\n\n        weightsManifest.forEach(weightsGroup => {\n          weightsGroup.paths.forEach(path => {\n            const weightFileReader = new FileReader();\n            weightFileReader.onload = (event: Event) => {\n              // tslint:disable-next-line:no-any\n              const weightData = (event.target as any).result as ArrayBuffer;\n              const index = paths.indexOf(path);\n              perFileBuffers[index] = weightData;\n              if (perFileBuffers.indexOf(null) === -1) {\n                resolve({\n                  modelTopology,\n                  weightSpecs,\n                  weightData: concatenateArrayBuffers(perFileBuffers),\n                  format: modelJSON.format,\n                  generatedBy: modelJSON.generatedBy,\n                  convertedBy: modelJSON.convertedBy,\n                  userDefinedMetadata: modelJSON.userDefinedMetadata\n                });\n              }\n            };\n            weightFileReader.onerror = error =>\n                reject(`Failed to weights data from file of path '${path}'.`);\n            weightFileReader.readAsArrayBuffer(pathToFile[path]);\n          });\n        });\n      };\n      jsonReader.onerror = error => reject(\n          `Failed to read model topology and weights manifest JSON ` +\n          `from file '${jsonFile.name}'. BrowserFiles supports loading ` +\n          `Keras-style tf.Model artifacts only.`);\n      jsonReader.readAsText(jsonFile);\n    });\n  }\n\n  /**\n   * Check the compatibility between weights manifest and weight files.\n   */\n  private checkManifestAndWeightFiles(\n      manifest: WeightsManifestConfig, files: File[]): {[path: string]: File} {\n    const basenames: string[] = [];\n    const fileNames = files.map(file => basename(file.name));\n    const pathToFile: {[path: string]: File} = {};\n    for (const group of manifest) {\n      group.paths.forEach(path => {\n        const pathBasename = basename(path);\n        if (basenames.indexOf(pathBasename) !== -1) {\n          throw new Error(\n              `Duplicate file basename found in weights manifest: ` +\n              `'${pathBasename}'`);\n        }\n        basenames.push(pathBasename);\n        if (fileNames.indexOf(pathBasename) === -1) {\n          throw new Error(\n              `Weight file with basename '${pathBasename}' is not provided.`);\n        } else {\n          pathToFile[path] = files[fileNames.indexOf(pathBasename)];\n        }\n      });\n    }\n\n    if (basenames.length !== files.length) {\n      throw new Error(\n          `Mismatch in the number of files in weights manifest ` +\n          `(${basenames.length}) and the number of weight files provided ` +\n          `(${files.length}).`);\n    }\n    return pathToFile;\n  }\n}\n\nexport const browserDownloadsRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserDownloads.URL_SCHEME)) {\n      return browserDownloads(url.slice(BrowserDownloads.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(browserDownloadsRouter);\n\n/**\n * Creates an IOHandler that triggers file downloads from the browser.\n *\n * The returned `IOHandler` instance can be used as model exporting methods such\n * as `tf.Model.save` and supports only saving.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * const saveResult = await model.save('downloads://mymodel');\n * // This will trigger downloading of two files:\n * //   'mymodel.json' and 'mymodel.weights.bin'.\n * console.log(saveResult);\n * ```\n *\n * @param fileNamePrefix Prefix name of the files to be downloaded. For use with\n *   `tf.Model`, `fileNamePrefix` should follow either of the following two\n *   formats:\n *   1. `null` or `undefined`, in which case the default file\n *      names will be used:\n *      - 'model.json' for the JSON file containing the model topology and\n *        weights manifest.\n *      - 'model.weights.bin' for the binary file containing the binary weight\n *        values.\n *   2. A single string or an Array of a single string, as the file name prefix.\n *      For example, if `'foo'` is provided, the downloaded JSON\n *      file and binary weights file will be named 'foo.json' and\n *      'foo.weights.bin', respectively.\n * @param config Additional configuration for triggering downloads.\n * @returns An instance of `BrowserDownloads` `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function browserDownloads(fileNamePrefix = 'model'): IOHandler {\n  return new BrowserDownloads(fileNamePrefix);\n}\n\n/**\n * Creates an IOHandler that loads model artifacts from user-selected files.\n *\n * This method can be used for loading from files such as user-selected files\n * in the browser.\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * // Note: This code snippet won't run properly without the actual file input\n * //   elements in the HTML DOM.\n *\n * // Suppose there are two HTML file input (`<input type=\"file\" ...>`)\n * // elements.\n * const uploadJSONInput = document.getElementById('upload-json');\n * const uploadWeightsInput = document.getElementById('upload-weights');\n * const model = await tf.loadLayersModel(tf.io.browserFiles(\n *     [uploadJSONInput.files[0], uploadWeightsInput.files[0]]));\n * ```\n *\n * @param files `File`s to load from. Currently, this function supports only\n *   loading from files that contain Keras-style models (i.e., `tf.Model`s), for\n *   which an `Array` of `File`s is expected (in that order):\n *   - A JSON file containing the model topology and weight manifest.\n *   - Optionally, One or more binary files containing the binary weights.\n *     These files must have names that match the paths in the `weightsManifest`\n *     contained by the aforementioned JSON file, or errors will be thrown\n *     during loading. These weights files have the same format as the ones\n *     generated by `tensorflowjs_converter` that comes with the `tensorflowjs`\n *     Python PIP package. If no weights files are provided, only the model\n *     topology will be loaded from the JSON file above.\n * @returns An instance of `Files` `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function browserFiles(files: File[]): IOHandler {\n  return new BrowserFiles(files);\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from '../util';\n\nimport {OnProgressCallback} from './types';\n\n/**\n * Monitor Promise.all progress, fire onProgress callback function.\n *\n * @param promises Promise list going to be monitored\n * @param onProgress Callback function. Fired when a promise resolved.\n * @param startFraction Optional fraction start. Default to 0.\n * @param endFraction Optional fraction end. Default to 1.\n */\nexport function monitorPromisesProgress(\n    promises: Array<Promise<{}|void>>, onProgress: OnProgressCallback,\n    startFraction?: number, endFraction?: number) {\n  checkPromises(promises);\n  startFraction = startFraction == null ? 0 : startFraction;\n  endFraction = endFraction == null ? 1 : endFraction;\n  checkFraction(startFraction, endFraction);\n  let resolvedPromise = 0;\n\n  const registerMonitor = (promise: Promise<{}>) => {\n    promise.then(value => {\n      const fraction = startFraction +\n          ++resolvedPromise / promises.length * (endFraction - startFraction);\n      // pass fraction as parameter to callback function.\n      onProgress(fraction);\n      return value;\n    });\n    return promise;\n  };\n\n  function checkPromises(promises: Array<Promise<{}|void>>): void {\n    assert(\n        promises != null && Array.isArray(promises) && promises.length > 0,\n        () => 'promises must be a none empty array');\n  }\n\n  function checkFraction(startFraction: number, endFraction: number): void {\n    assert(\n        startFraction >= 0 && startFraction <= 1,\n        () => `Progress fraction must be in range [0, 1], but ` +\n            `got startFraction ${startFraction}`);\n    assert(\n        endFraction >= 0 && endFraction <= 1,\n        () => `Progress fraction must be in range [0, 1], but ` +\n            `got endFraction ${endFraction}`);\n    assert(\n        endFraction >= startFraction,\n        () => `startFraction must be no more than endFraction, but ` +\n            `got startFraction ${startFraction} and endFraction ` +\n            `${endFraction}`);\n  }\n\n  return Promise.all(promises.map(registerMonitor));\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {NamedTensorMap} from '../tensor_types';\nimport * as util from '../util';\nimport {decodeWeights} from './io_utils';\nimport {monitorPromisesProgress} from './progress';\nimport {DTYPE_VALUE_SIZE_MAP, LoadOptions, WeightsManifestConfig, WeightsManifestEntry} from './types';\n\n/**\n * Reads binary weights data from a number of URLs.\n *\n * @param fetchURLs URLs to send the HTTP requests at, using `fetch` calls.\n * @param requestOptions RequestInit (options) for the HTTP requests.\n * @param fetchFunc Optional overriding value for the `window.fetch` function.\n * @param onProgress Optional, progress callback function, fired periodically\n *   before the load is completed.\n * @returns A `Promise` of an Array of `ArrayBuffer`. The Array has the same\n *   length as `fetchURLs`.\n */\nexport async function loadWeightsAsArrayBuffer(\n    fetchURLs: string[], loadOptions?: LoadOptions): Promise<ArrayBuffer[]> {\n  if (loadOptions == null) {\n    loadOptions = {};\n  }\n\n  const fetchFunc = loadOptions.fetchFunc == null ? env().platform.fetch :\n                                                    loadOptions.fetchFunc;\n\n  // Create the requests for all of the weights in parallel.\n  const requests = fetchURLs.map(\n      fetchURL =>\n          fetchFunc(fetchURL, loadOptions.requestInit, {isBinary: true}));\n\n  const fetchStartFraction = 0;\n  const fetchEndFraction = 0.5;\n\n  const responses = loadOptions.onProgress == null ?\n      await Promise.all(requests) :\n      await monitorPromisesProgress(\n          requests, loadOptions.onProgress, fetchStartFraction,\n          fetchEndFraction);\n\n  const bufferPromises = responses.map(response => response.arrayBuffer());\n\n  const bufferStartFraction = 0.5;\n  const bufferEndFraction = 1;\n\n  const buffers = loadOptions.onProgress == null ?\n      await Promise.all(bufferPromises) :\n      await monitorPromisesProgress(\n          bufferPromises, loadOptions.onProgress, bufferStartFraction,\n          bufferEndFraction);\n  return buffers;\n}\n\n/**\n * Reads a weights manifest JSON configuration, fetches the weights and\n * returns them as `Tensor`s.\n *\n * @param manifest The weights manifest JSON.\n * @param filePathPrefix The path prefix for filenames given in the manifest.\n *     Defaults to the empty string.\n * @param weightNames The names of the weights to be fetched.\n */\nexport async function loadWeights(\n    manifest: WeightsManifestConfig, filePathPrefix = '',\n    weightNames?: string[],\n    requestInit?: RequestInit): Promise<NamedTensorMap> {\n  // TODO(nsthorat): Groups are currently fetched atomically. If you need a\n  // single weight from a group, the whole group will be fetched. At a future\n  // date, we should support fetching only the individual shards within a\n  // group that are needed to reconstruct the requested weight.\n  // TODO(cais): Use `decodeWeights` for implementation.\n\n  const fetchWeights = (fetchUrls: string[]) =>\n      loadWeightsAsArrayBuffer(fetchUrls, {requestInit});\n  const loadWeights = weightsLoaderFactory(fetchWeights);\n\n  return loadWeights(manifest, filePathPrefix, weightNames);\n}\n\n/**\n * Creates a function, which reads a weights manifest JSON configuration,\n * fetches the weight files using the specified function and returns them as\n * `Tensor`s.\n *\n * ```js\n * // example for creating a nodejs weight loader, which reads the weight files\n * // from disk using fs.readFileSync\n *\n * import * as fs from 'fs'\n *\n * const fetchWeightsFromDisk = (filePaths: string[]) =>\n *   filePaths.map(filePath => fs.readFileSync(filePath).buffer)\n *\n * const loadWeights = tf.io.weightsLoaderFactory(fetchWeightsFromDisk)\n *\n * const manifest = JSON.parse(\n *   fs.readFileSync('./my_model-weights_manifest').toString()\n * )\n * const weightMap = await loadWeights(manifest, './')\n * ```\n * @param fetchWeightsFunction The function used for fetching the weight files.\n * @returns Weight loading function.\n */\nexport function weightsLoaderFactory(\n    fetchWeightsFunction: (fetchUrls: string[]) => Promise<ArrayBuffer[]>):\n    (manifest: WeightsManifestConfig, filePathPrefix?: string,\n     weightNames?: string[]) => Promise<NamedTensorMap> {\n  return async(\n             manifest: WeightsManifestConfig, filePathPrefix = '',\n             weightNames?: string[]): Promise<NamedTensorMap> => {\n    // Collect all the groups, weights, and their relative offsets to be\n    // fetched.\n    const groupIndicesToFetchMap = manifest.map(() => false);\n    const groupWeightsToFetch: {\n      [group: number]: Array<{\n        manifestEntry: WeightsManifestEntry; groupOffset: number;\n        sizeBytes: number;\n      }>\n    } = {};\n    const weightsFound =\n        weightNames != null ? weightNames.map(() => false) : [];\n    const allManifestWeightNames: string[] = [];\n    manifest.forEach((manifestGroupConfig, groupIndex) => {\n      let groupOffset = 0;\n      manifestGroupConfig.weights.forEach(weightsEntry => {\n        const rawDtype = ('quantization' in weightsEntry) ?\n            weightsEntry.quantization.dtype :\n            weightsEntry.dtype;\n\n        const weightsBytes = DTYPE_VALUE_SIZE_MAP[rawDtype] *\n            util.sizeFromShape(weightsEntry.shape);\n\n        const enqueueWeightsForFetchingFn = () => {\n          groupIndicesToFetchMap[groupIndex] = true;\n          if (groupWeightsToFetch[groupIndex] == null) {\n            groupWeightsToFetch[groupIndex] = [];\n          }\n\n          groupWeightsToFetch[groupIndex].push({\n            manifestEntry: weightsEntry,\n            groupOffset,\n            sizeBytes: weightsBytes\n          });\n        };\n\n        if (weightNames != null) {\n          weightNames.forEach((weightName, weightIndex) => {\n            if (weightName === weightsEntry.name) {\n              enqueueWeightsForFetchingFn();\n              weightsFound[weightIndex] = true;\n            }\n          });\n        } else {\n          enqueueWeightsForFetchingFn();\n        }\n\n        allManifestWeightNames.push(weightsEntry.name);\n        groupOffset += weightsBytes;\n      });\n    });\n\n    if (!weightsFound.every(found => found)) {\n      const weightsNotFound = weightNames.filter((_, i) => !weightsFound[i]);\n      throw new Error(\n          `Could not find weights in manifest with names: ` +\n          `${weightsNotFound.join(', ')}. \\n` +\n          `Manifest JSON has weights with names: ` +\n          `${allManifestWeightNames.join(', ')}.`);\n    }\n\n    // Convert the one-hot boolean groupId => shouldFetch map to a list of group\n    // IDs.\n    const groupIndicesToFetch =\n        groupIndicesToFetchMap.reduce((accumulator, shouldFetch, i) => {\n          if (shouldFetch) {\n            accumulator.push(i);\n          }\n          return accumulator;\n        }, []);\n\n    const fetchUrls: string[] = [];\n    groupIndicesToFetch.forEach(i => {\n      manifest[i].paths.forEach(filepath => {\n        const fetchUrl = filePathPrefix +\n            (!filePathPrefix.endsWith('/') ? '/' : '') + filepath;\n        fetchUrls.push(fetchUrl);\n      });\n    });\n    const buffers = await fetchWeightsFunction(fetchUrls);\n\n    const weightsTensorMap: NamedTensorMap = {};\n    let bufferIndexOffset = 0;\n    groupIndicesToFetch.forEach(i => {\n      const numBuffers = manifest[i].paths.length;\n\n      let groupBytes = 0;\n      for (let i = 0; i < numBuffers; i++) {\n        groupBytes += buffers[bufferIndexOffset + i].byteLength;\n      }\n\n      // Create a buffer for the whole group.\n      const groupBuffer = new ArrayBuffer(groupBytes);\n      const groupByteBuffer = new Uint8Array(groupBuffer);\n      let groupBufferOffset = 0;\n      for (let i = 0; i < numBuffers; i++) {\n        const buffer = new Uint8Array(buffers[bufferIndexOffset + i]);\n        groupByteBuffer.set(buffer, groupBufferOffset);\n        groupBufferOffset += buffer.byteLength;\n      }\n\n      const weightsEntries = groupWeightsToFetch[i];\n      weightsEntries.forEach(weightsEntry => {\n        const byteBuffer = groupBuffer.slice(\n            weightsEntry.groupOffset,\n            weightsEntry.groupOffset + weightsEntry.sizeBytes);\n        const nameToTensorMap =\n            decodeWeights(byteBuffer, [weightsEntry.manifestEntry]);\n        for (const name in nameToTensorMap) {\n          weightsTensorMap[name] = nameToTensorMap[name];\n        }\n      });\n\n      bufferIndexOffset += numBuffers;\n    });\n\n    return weightsTensorMap;\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandler implementations based on HTTP requests in the web browser.\n *\n * Uses [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n */\n\nimport {env} from '../environment';\n\nimport {assert} from '../util';\nimport {concatenateArrayBuffers, getModelArtifactsInfoForJSON} from './io_utils';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, LoadOptions, ModelArtifacts, ModelJSON, OnProgressCallback, SaveResult, WeightsManifestConfig, WeightsManifestEntry} from './types';\nimport {loadWeightsAsArrayBuffer} from './weights_loader';\n\nconst OCTET_STREAM_MIME_TYPE = 'application/octet-stream';\nconst JSON_TYPE = 'application/json';\nexport class HTTPRequest implements IOHandler {\n  protected readonly path: string;\n  protected readonly requestInit: RequestInit;\n\n  private readonly fetch: Function;\n\n  readonly DEFAULT_METHOD = 'POST';\n\n  static readonly URL_SCHEME_REGEX = /^https?:\\/\\//;\n\n  private readonly weightPathPrefix: string;\n  private readonly onProgress: OnProgressCallback;\n\n  constructor(path: string, loadOptions?: LoadOptions) {\n    if (loadOptions == null) {\n      loadOptions = {};\n    }\n    this.weightPathPrefix = loadOptions.weightPathPrefix;\n    this.onProgress = loadOptions.onProgress;\n\n    if (loadOptions.fetchFunc != null) {\n      assert(\n          typeof loadOptions.fetchFunc === 'function',\n          () => 'Must pass a function that matches the signature of ' +\n              '`fetch` (see ' +\n              'https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)');\n      this.fetch = loadOptions.fetchFunc;\n    } else {\n      this.fetch = env().platform.fetch;\n    }\n\n    assert(\n        path != null && path.length > 0,\n        () => 'URL path for http must not be null, undefined or ' +\n            'empty.');\n\n    if (Array.isArray(path)) {\n      assert(\n          path.length === 2,\n          () => 'URL paths for http must have a length of 2, ' +\n              `(actual length is ${path.length}).`);\n    }\n    this.path = path;\n\n    if (loadOptions.requestInit != null &&\n        loadOptions.requestInit.body != null) {\n      throw new Error(\n          'requestInit is expected to have no pre-existing body, but has one.');\n    }\n    this.requestInit = loadOptions.requestInit || {};\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserHTTPRequest.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    }\n\n    const init = Object.assign({method: this.DEFAULT_METHOD}, this.requestInit);\n    init.body = new FormData();\n\n    const weightsManifest: WeightsManifestConfig = [{\n      paths: ['./model.weights.bin'],\n      weights: modelArtifacts.weightSpecs,\n    }];\n    const modelTopologyAndWeightManifest: ModelJSON = {\n      modelTopology: modelArtifacts.modelTopology,\n      format: modelArtifacts.format,\n      generatedBy: modelArtifacts.generatedBy,\n      convertedBy: modelArtifacts.convertedBy,\n      userDefinedMetadata: modelArtifacts.userDefinedMetadata,\n      weightsManifest\n    };\n\n    init.body.append(\n        'model.json',\n        new Blob(\n            [JSON.stringify(modelTopologyAndWeightManifest)],\n            {type: JSON_TYPE}),\n        'model.json');\n\n    if (modelArtifacts.weightData != null) {\n      init.body.append(\n          'model.weights.bin',\n          new Blob([modelArtifacts.weightData], {type: OCTET_STREAM_MIME_TYPE}),\n          'model.weights.bin');\n    }\n\n    const response = await this.fetch(this.path, init);\n\n    if (response.ok) {\n      return {\n        modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts),\n        responses: [response],\n      };\n    } else {\n      throw new Error(\n          `BrowserHTTPRequest.save() failed due to HTTP response status ` +\n          `${response.status}.`);\n    }\n  }\n\n  /**\n   * Load model artifacts via HTTP request(s).\n   *\n   * See the documentation to `tf.io.http` for details on the saved\n   * artifacts.\n   *\n   * @returns The loaded model artifacts (if loading succeeds).\n   */\n  async load(): Promise<ModelArtifacts> {\n    const modelConfigRequest = await this.fetch(this.path, this.requestInit);\n\n    if (!modelConfigRequest.ok) {\n      throw new Error(\n          `Request to ${this.path} failed with status code ` +\n          `${modelConfigRequest.status}. Please verify this URL points to ` +\n          `the model JSON of the model to load.`);\n    }\n    let modelConfig: ModelJSON;\n    try {\n      modelConfig = await modelConfigRequest.json();\n    } catch (e) {\n      let message = `Failed to parse model JSON of response from ${this.path}.`;\n      // TODO(nsthorat): Remove this after some time when we're comfortable that\n      // .pb files are mostly gone.\n      if (this.path.endsWith('.pb')) {\n        message += ' Your path contains a .pb file extension. ' +\n            'Support for .pb models have been removed in TensorFlow.js 1.0 ' +\n            'in favor of .json models. You can re-convert your Python ' +\n            'TensorFlow model using the TensorFlow.js 1.0 conversion scripts ' +\n            'or you can convert your.pb models with the \\'pb2json\\'' +\n            'NPM script in the tensorflow/tfjs-converter repository.';\n      } else {\n        message += ' Please make sure the server is serving valid ' +\n            'JSON for this request.';\n      }\n      throw new Error(message);\n    }\n    const modelTopology = modelConfig.modelTopology;\n    const weightsManifest = modelConfig.weightsManifest;\n    const generatedBy = modelConfig.generatedBy;\n    const convertedBy = modelConfig.convertedBy;\n    const format = modelConfig.format;\n    const userDefinedMetadata = modelConfig.userDefinedMetadata;\n\n    // We do not allow both modelTopology and weightsManifest to be missing.\n    if (modelTopology == null && weightsManifest == null) {\n      throw new Error(\n          `The JSON from HTTP path ${this.path} contains neither model ` +\n          `topology or manifest for weights.`);\n    }\n\n    let weightSpecs: WeightsManifestEntry[];\n    let weightData: ArrayBuffer;\n    if (weightsManifest != null) {\n      const results = await this.loadWeights(weightsManifest);\n      [weightSpecs, weightData] = results;\n    }\n\n    return {\n      modelTopology,\n      weightSpecs,\n      weightData,\n      userDefinedMetadata,\n      generatedBy,\n      convertedBy,\n      format\n    };\n  }\n\n  private async loadWeights(weightsManifest: WeightsManifestConfig):\n      Promise<[WeightsManifestEntry[], ArrayBuffer]> {\n    const weightPath = Array.isArray(this.path) ? this.path[1] : this.path;\n    const [prefix, suffix] = parseUrl(weightPath);\n    const pathPrefix = this.weightPathPrefix || prefix;\n\n    const weightSpecs = [];\n    for (const entry of weightsManifest) {\n      weightSpecs.push(...entry.weights);\n    }\n\n    const fetchURLs: string[] = [];\n    weightsManifest.forEach(weightsGroup => {\n      weightsGroup.paths.forEach(path => {\n        fetchURLs.push(pathPrefix + path + suffix);\n      });\n    });\n    const buffers = await loadWeightsAsArrayBuffer(fetchURLs, {\n      requestInit: this.requestInit,\n      fetchFunc: this.fetch,\n      onProgress: this.onProgress\n    });\n    return [weightSpecs, concatenateArrayBuffers(buffers)];\n  }\n}\n\n/**\n * Extract the prefix and suffix of the url, where the prefix is the path before\n * the last file, and suffix is the search params after the last file.\n * ```\n * const url = 'http://tfhub.dev/model/1/tensorflowjs_model.pb?tfjs-format=file'\n * [prefix, suffix] = parseUrl(url)\n * // prefix = 'http://tfhub.dev/model/1/'\n * // suffix = '?tfjs-format=file'\n * ```\n * @param url the model url to be parsed.\n */\nexport function parseUrl(url: string): [string, string] {\n  const lastSlash = url.lastIndexOf('/');\n  const lastSearchParam = url.lastIndexOf('?');\n  const prefix = url.substring(0, lastSlash);\n  const suffix =\n      lastSearchParam > lastSlash ? url.substring(lastSearchParam) : '';\n  return [prefix + '/', suffix];\n}\n\nexport function isHTTPScheme(url: string): boolean {\n  return url.match(HTTPRequest.URL_SCHEME_REGEX) != null;\n}\n\nexport const httpRouter: IORouter =\n    (url: string, onProgress?: OnProgressCallback) => {\n      if (typeof fetch === 'undefined') {\n        // `http` uses `fetch` or `node-fetch`, if one wants to use it in\n        // an environment that is not the browser or node they have to setup a\n        // global fetch polyfill.\n        return null;\n      } else {\n        let isHTTP = true;\n        if (Array.isArray(url)) {\n          isHTTP = url.every(urlItem => isHTTPScheme(urlItem));\n        } else {\n          isHTTP = isHTTPScheme(url);\n        }\n        if (isHTTP) {\n          return http(url, {onProgress});\n        }\n      }\n      return null;\n    };\nIORouterRegistry.registerSaveRouter(httpRouter);\nIORouterRegistry.registerLoadRouter(httpRouter);\n\n/**\n * Creates an IOHandler subtype that sends model artifacts to HTTP server.\n *\n * An HTTP request of the `multipart/form-data` mime type will be sent to the\n * `path` URL. The form data includes artifacts that represent the topology\n * and/or weights of the model. In the case of Keras-style `tf.Model`, two\n * blobs (files) exist in form-data:\n *   - A JSON file consisting of `modelTopology` and `weightsManifest`.\n *   - A binary weights file consisting of the concatenated weight values.\n * These files are in the same format as the one generated by\n * [tfjs_converter](https://js.tensorflow.org/tutorials/import-keras.html).\n *\n * The following code snippet exemplifies the client-side code that uses this\n * function:\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save(tf.io.http(\n *     'http://model-server:5000/upload', {requestInit: {method: 'PUT'}}));\n * console.log(saveResult);\n * ```\n *\n * If the default `POST` method is to be used, without any custom parameters\n * such as headers, you can simply pass an HTTP or HTTPS URL to `model.save`:\n *\n * ```js\n * const saveResult = await model.save('http://model-server:5000/upload');\n * ```\n *\n * The following GitHub Gist\n * https://gist.github.com/dsmilkov/1b6046fd6132d7408d5257b0976f7864\n * implements a server based on [flask](https://github.com/pallets/flask) that\n * can receive the request. Upon receiving the model artifacts via the requst,\n * this particular server reconsistutes instances of [Keras\n * Models](https://keras.io/models/model/) in memory.\n *\n *\n * @param path A URL path to the model.\n *   Can be an absolute HTTP path (e.g.,\n *   'http://localhost:8000/model-upload)') or a relative path (e.g.,\n *   './model-upload').\n * @param requestInit Request configurations to be used when sending\n *    HTTP request to server using `fetch`. It can contain fields such as\n *    `method`, `credentials`, `headers`, `mode`, etc. See\n *    https://developer.mozilla.org/en-US/docs/Web/API/Request/Request\n *    for more information. `requestInit` must not have a body, because the\n * body will be set by TensorFlow.js. File blobs representing the model\n * topology (filename: 'model.json') and the weights of the model (filename:\n * 'model.weights.bin') will be appended to the body. If `requestInit` has a\n * `body`, an Error will be thrown.\n * @param loadOptions Optional configuration for the loading. It includes the\n *   following fields:\n *   - weightPathPrefix Optional, this specifies the path prefix for weight\n *     files, by default this is calculated from the path param.\n *   - fetchFunc Optional, custom `fetch` function. E.g., in Node.js,\n *     the `fetch` from node-fetch can be used here.\n *   - onProgress Optional, progress callback function, fired periodically\n *     before the load is completed.\n * @returns An instance of `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function http(path: string, loadOptions?: LoadOptions): IOHandler {\n  return new HTTPRequest(path, loadOptions);\n}\n\n/**\n * Deprecated. Use `tf.io.http`.\n * @param path\n * @param loadOptions\n */\nexport function browserHTTPRequest(\n    path: string, loadOptions?: LoadOptions): IOHandler {\n  return http(path, loadOptions);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandlers that pass through the in-memory ModelArtifacts format.\n */\n\nimport {IOHandler, ModelArtifacts, SaveResult, TrainingConfig, WeightsManifestEntry} from './types';\n\nclass PassthroughLoader implements IOHandler {\n  constructor(private readonly modelArtifacts?: ModelArtifacts) {}\n\n  async load(): Promise<ModelArtifacts> {\n    return this.modelArtifacts;\n  }\n}\n\nclass PassthroughSaver implements IOHandler {\n  constructor(\n      private readonly saveHandler:\n          (artifacts: ModelArtifacts) => Promise<SaveResult>) {}\n\n  async save(modelArtifacts: ModelArtifacts) {\n    return this.saveHandler(modelArtifacts);\n  }\n}\n\n/**\n * Creates an IOHandler that loads model artifacts from memory.\n *\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * const model = await tf.loadLayersModel(tf.io.fromMemory(\n *     modelTopology, weightSpecs, weightData));\n * ```\n *\n * @param modelArtifacts a object containing model topology (i.e., parsed from\n *   the JSON format).\n * @param weightSpecs An array of `WeightsManifestEntry` objects describing the\n *   names, shapes, types, and quantization of the weight data.\n * @param weightData A single `ArrayBuffer` containing the weight data,\n *   concatenated in the order described by the weightSpecs.\n * @param trainingConfig Model training configuration. Optional.\n *\n * @returns A passthrough `IOHandler` that simply loads the provided data.\n */\nexport function fromMemory(\n    modelArtifacts: {}|ModelArtifacts, weightSpecs?: WeightsManifestEntry[],\n    weightData?: ArrayBuffer, trainingConfig?: TrainingConfig): IOHandler {\n  if (arguments.length === 1) {\n    const isModelArtifacts =\n        (modelArtifacts as ModelArtifacts).modelTopology != null ||\n        (modelArtifacts as ModelArtifacts).weightSpecs != null;\n    if (isModelArtifacts) {\n      return new PassthroughLoader(modelArtifacts as ModelArtifacts);\n    } else {\n      // Legacy support: with only modelTopology.\n      // TODO(cais): Remove this deprecated API.\n      console.warn(\n          'Please call tf.io.fromMemory() with only one argument. ' +\n          'The argument should be of type ModelArtifacts. ' +\n          'The multi-argument signature of tf.io.fromMemory() has been ' +\n          'deprecated and will be removed in a future release.');\n      return new PassthroughLoader({modelTopology: modelArtifacts as {}});\n    }\n  } else {\n    // Legacy support.\n    // TODO(cais): Remove this deprecated API.\n    console.warn(\n        'Please call tf.io.fromMemory() with only one argument. ' +\n        'The argument should be of type ModelArtifacts. ' +\n        'The multi-argument signature of tf.io.fromMemory() has been ' +\n        'deprecated and will be removed in a future release.');\n    return new PassthroughLoader({\n      modelTopology: modelArtifacts as {},\n      weightSpecs,\n      weightData,\n      trainingConfig\n    });\n  }\n}\n\n/**\n * Creates an IOHandler that passes saved model artifacts to a callback.\n *\n * ```js\n * function handleSave(artifacts) {\n *   // ... do something with the artifacts ...\n *   return {modelArtifactsInfo: {...}, ...};\n * }\n *\n * const saveResult = model.save(tf.io.withSaveHandler(handleSave));\n * ```\n *\n * @param saveHandler A function that accepts a `ModelArtifacts` and returns a\n *     `SaveResult`.\n */\nexport function withSaveHandler(\n    saveHandler: (artifacts: ModelArtifacts) =>\n        Promise<SaveResult>): IOHandler {\n  return new PassthroughSaver(saveHandler);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {oneHot} from './array_ops';\nimport {op} from './operation';\n\n/**\n * Computes the confusion matrix from true labels and predicted labels.\n *\n * ```js\n * const labels = tf.tensor1d([0, 1, 2, 1, 0], 'int32');\n * const predictions = tf.tensor1d([0, 2, 2, 1, 0], 'int32');\n * const numClasses = 3;\n * const out = tf.math.confusionMatrix(labels, predictions, numClasses);\n * out.print();\n * // Expected output matrix:\n * // [[2, 0, 0],\n * //  [0, 1, 1],\n * //  [0, 0, 1]]\n * ```\n *\n * @param labels The target labels, assumed to be 0-based integers\n *   for the classes. The shape is `[numExamples]`, where\n *   `numExamples` is the number of examples included.\n * @param predictions The predicted classes, assumed to be\n *   0-based integers for the classes. Must have the same shape as `labels`.\n * @param numClasses Number of all classes, as an integer.\n *   Its value must be larger than the largest element in `labels` and\n *   `predictions`.\n * @returns The confusion matrix as a int32-type 2D tensor. The value at\n *   row `r` and column `c` is the number of times examples of actual class\n *   `r` were predicted as class `c`.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nexport function confusionMatrix_(\n    labels: Tensor1D|TensorLike, predictions: Tensor1D|TensorLike,\n    numClasses: number): Tensor2D {\n  const $labels = convertToTensor(labels, 'labels', 'confusionMatrix');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'confusionMatrix');\n\n  util.assert(\n      numClasses == null || numClasses > 0 && Number.isInteger(numClasses),\n      () => `If provided, numClasses must be a positive integer, ` +\n          `but got ${numClasses}`);\n  util.assert(\n      $labels.rank === 1,\n      () => `Expected the rank of labels to be 1, but got ${$labels.rank}`);\n  util.assert(\n      $predictions.rank === 1,\n      () => `Expected the rank of predictions to be 1, ` +\n          `but got ${$predictions.rank}`);\n  util.assert(\n      $labels.shape[0] === $predictions.shape[0],\n      () => `Mismatch in the number of examples: ` +\n          `${$labels.shape[0]} vs. ${$predictions.shape[0]}. ` +\n          `Labels and predictions should have the same number of elements.`);\n  util.assert(\n      numClasses > 0 && Number.isInteger(numClasses),\n      () => `numClasses is required to be a positive integer, but got ` +\n          `${numClasses}`);\n  // TODO(cais): In the future, if oneHot supports tensors inputs for\n  //   `numClasses`, `confusionMatrix` can make `numClasses` optional.\n\n  const oneHotLabels = oneHot($labels.asType('int32'), numClasses) as Tensor2D;\n  const oneHotPredictions =\n      oneHot($predictions.asType('int32'), numClasses) as Tensor2D;\n  return oneHotLabels.transpose().matMul(oneHotPredictions).asType('int32');\n}\n\nexport const confusionMatrix = op({confusionMatrix_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {getKernel} from '../kernel_registry';\nimport {Tensor, Tensor2D, Tensor3D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {PixelData, TensorLike} from '../types';\n\nimport {op} from './operation';\nimport {tensor3d} from './tensor_ops';\n\nlet fromPixels2DContext: CanvasRenderingContext2D;\n\n/**\n * Creates a `tf.Tensor` from an image.\n *\n * ```js\n * const image = new ImageData(1, 1);\n * image.data[0] = 100;\n * image.data[1] = 150;\n * image.data[2] = 200;\n * image.data[3] = 255;\n *\n * tf.browser.fromPixels(image).print();\n * ```\n *\n * @param pixels The input image to construct the tensor from. The\n * supported image types are all 4-channel. You can also pass in an image\n * object with following attributes:\n * `{data: Uint8Array; width: number; height: number}`\n * @param numChannels The number of channels of the output tensor. A\n * numChannels value less than 4 allows you to ignore channels. Defaults to\n * 3 (ignores alpha channel of input image).\n */\n/** @doc {heading: 'Browser', namespace: 'browser', ignoreCI: true} */\nfunction fromPixels_(\n    pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n    HTMLVideoElement,\n    numChannels = 3): Tensor3D {\n  // Sanity checks.\n  if (numChannels > 4) {\n    throw new Error(\n        'Cannot construct Tensor with more than 4 channels from pixels.');\n  }\n  if (pixels == null) {\n    throw new Error('pixels passed to tf.browser.fromPixels() can not be null');\n  }\n  let isPixelData = false;\n  let isImageData = false;\n  let isVideo = false;\n  let isImage = false;\n  let isCanvasLike = false;\n  if ((pixels as PixelData).data instanceof Uint8Array) {\n    isPixelData = true;\n  } else if (\n      typeof (ImageData) !== 'undefined' && pixels instanceof ImageData) {\n    isImageData = true;\n  } else if (\n      typeof (HTMLVideoElement) !== 'undefined' &&\n      pixels instanceof HTMLVideoElement) {\n    isVideo = true;\n  } else if (\n      typeof (HTMLImageElement) !== 'undefined' &&\n      pixels instanceof HTMLImageElement) {\n    isImage = true;\n    // tslint:disable-next-line: no-any\n  } else if ((pixels as any).getContext != null) {\n    isCanvasLike = true;\n  } else {\n    throw new Error(\n        'pixels passed to tf.browser.fromPixels() must be either an ' +\n        `HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData ` +\n        `in browser, or OffscreenCanvas, ImageData in webworker` +\n        ` or {data: Uint32Array, width: number, height: number}, ` +\n        `but was ${(pixels as {}).constructor.name}`);\n  }\n  if (isVideo) {\n    const HAVE_CURRENT_DATA_READY_STATE = 2;\n    if (isVideo &&\n        (pixels as HTMLVideoElement).readyState <\n            HAVE_CURRENT_DATA_READY_STATE) {\n      throw new Error(\n          'The video element has not loaded data yet. Please wait for ' +\n          '`loadeddata` event on the <video> element.');\n    }\n  }\n  // If the current backend has 'FromPixels' registered, it has a more\n  // efficient way of handling pixel uploads, so we call that.\n  const kernel = getKernel('FromPixels', ENGINE.backendName);\n  if (kernel != null) {\n    return ENGINE.runKernel('FromPixels', {pixels} as {}, {numChannels}) as\n        Tensor3D;\n  }\n\n  const [width, height] = isVideo ?\n      [\n        (pixels as HTMLVideoElement).videoWidth,\n        (pixels as HTMLVideoElement).videoHeight\n      ] :\n      [pixels.width, pixels.height];\n  let vals: Uint8ClampedArray|Uint8Array;\n\n  if (isCanvasLike) {\n    vals =\n        // tslint:disable-next-line:no-any\n        (pixels as any).getContext('2d').getImageData(0, 0, width, height).data;\n  } else if (isImageData || isPixelData) {\n    vals = (pixels as PixelData | ImageData).data;\n  } else if (isImage || isVideo) {\n    if (fromPixels2DContext == null) {\n      fromPixels2DContext = document.createElement('canvas').getContext('2d');\n    }\n    fromPixels2DContext.canvas.width = width;\n    fromPixels2DContext.canvas.height = height;\n    fromPixels2DContext.drawImage(\n        pixels as HTMLVideoElement, 0, 0, width, height);\n    vals = fromPixels2DContext.getImageData(0, 0, width, height).data;\n  }\n  let values: Int32Array;\n  if (numChannels === 4) {\n    values = new Int32Array(vals);\n  } else {\n    const numPixels = width * height;\n    values = new Int32Array(numPixels * numChannels);\n    for (let i = 0; i < numPixels; i++) {\n      for (let channel = 0; channel < numChannels; ++channel) {\n        values[i * numChannels + channel] = vals[i * 4 + channel];\n      }\n    }\n  }\n  const outShape: [number, number, number] = [height, width, numChannels];\n  return tensor3d(values, outShape, 'int32');\n}\n\n/**\n * Draws a `tf.Tensor` of pixel values to a byte array or optionally a\n * canvas.\n *\n * When the dtype of the input is 'float32', we assume values in the range\n * [0-1]. Otherwise, when input is 'int32', we assume values in the range\n * [0-255].\n *\n * Returns a promise that resolves when the canvas has been drawn to.\n *\n * @param img A rank-2 or rank-3 tensor. If rank-2, draws grayscale. If\n *     rank-3, must have depth of 1, 3 or 4. When depth of 1, draws\n * grayscale. When depth of 3, we draw with the first three components of\n * the depth dimension corresponding to r, g, b and alpha = 1. When depth of\n * 4, all four components of the depth dimension correspond to r, g, b, a.\n * @param canvas The canvas to draw to.\n */\n/** @doc {heading: 'Browser', namespace: 'browser'} */\nexport async function toPixels(\n    img: Tensor2D|Tensor3D|TensorLike,\n    canvas?: HTMLCanvasElement): Promise<Uint8ClampedArray> {\n  let $img = convertToTensor(img, 'img', 'toPixels');\n  if (!(img instanceof Tensor)) {\n    // Assume int32 if user passed a native array.\n    $img = $img.toInt();\n  }\n  if ($img.rank !== 2 && $img.rank !== 3) {\n    throw new Error(\n        `toPixels only supports rank 2 or 3 tensors, got rank ${$img.rank}.`);\n  }\n  const [height, width] = $img.shape.slice(0, 2);\n  const depth = $img.rank === 2 ? 1 : $img.shape[2];\n\n  if (depth > 4 || depth === 2) {\n    throw new Error(\n        `toPixels only supports depth of size ` +\n        `1, 3 or 4 but got ${depth}`);\n  }\n\n  const data = await $img.data();\n  const minTensor = $img.min();\n  const maxTensor = $img.max();\n  const vals = await Promise.all([minTensor.data(), maxTensor.data()]);\n  const minVals = vals[0];\n  const maxVals = vals[1];\n  const min = minVals[0];\n  const max = maxVals[0];\n  minTensor.dispose();\n  maxTensor.dispose();\n  if ($img.dtype === 'float32') {\n    if (min < 0 || max > 1) {\n      throw new Error(\n          `Tensor values for a float32 Tensor must be in the ` +\n          `range [0 - 1] but got range [${min} - ${max}].`);\n    }\n  } else if ($img.dtype === 'int32') {\n    if (min < 0 || max > 255) {\n      throw new Error(\n          `Tensor values for a int32 Tensor must be in the ` +\n          `range [0 - 255] but got range [${min} - ${max}].`);\n    }\n  } else {\n    throw new Error(\n        `Unsupported type for toPixels: ${$img.dtype}.` +\n        ` Please use float32 or int32 tensors.`);\n  }\n  const multiplier = $img.dtype === 'float32' ? 255 : 1;\n  const bytes = new Uint8ClampedArray(width * height * 4);\n\n  for (let i = 0; i < height * width; ++i) {\n    let r, g, b, a;\n    if (depth === 1) {\n      r = data[i] * multiplier;\n      g = data[i] * multiplier;\n      b = data[i] * multiplier;\n      a = 255;\n    } else if (depth === 3) {\n      r = data[i * 3] * multiplier;\n      g = data[i * 3 + 1] * multiplier;\n      b = data[i * 3 + 2] * multiplier;\n      a = 255;\n    } else if (depth === 4) {\n      r = data[i * 4] * multiplier;\n      g = data[i * 4 + 1] * multiplier;\n      b = data[i * 4 + 2] * multiplier;\n      a = data[i * 4 + 3] * multiplier;\n    }\n\n    const j = i * 4;\n    bytes[j + 0] = Math.round(r);\n    bytes[j + 1] = Math.round(g);\n    bytes[j + 2] = Math.round(b);\n    bytes[j + 3] = Math.round(a);\n  }\n\n  if (canvas != null) {\n    canvas.width = width;\n    canvas.height = height;\n    const ctx = canvas.getContext('2d');\n    const imageData = new ImageData(bytes, width, height);\n    ctx.putImageData(imageData, 0, 0);\n  }\n  if ($img !== img) {\n    $img.dispose();\n  }\n  return bytes;\n}\n\nexport const fromPixels = op({fromPixels_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from './util';\n\n/**\n * Types to support JSON-esque data structures internally.\n *\n * Internally ConfigDict's use camelCase keys and values where the\n * values are class names to be instantiated.  On the python side, these\n * will be snake_case.  Internally we allow Enums into the values for better\n * type safety, but these need to be converted to raw primitives (usually\n * strings) for round-tripping with python.\n *\n * toConfig returns the TS-friendly representation. model.toJSON() returns\n * the pythonic version as that's the portable format.  If you need to\n * python-ify a non-model level toConfig output, you'll need to use a\n * convertTsToPythonic from serialization_utils in -Layers.\n *\n */\nexport declare type ConfigDictValue =\n    boolean | number | string | null | ConfigDictArray | ConfigDict;\nexport declare interface ConfigDict {\n  [key: string]: ConfigDictValue;\n}\nexport declare interface ConfigDictArray extends Array<ConfigDictValue> {}\n\n/**\n * Type to represent the class-type of Serializable objects.\n *\n * Ie the class prototype with access to the constructor and any\n * static members/methods. Instance methods are not listed here.\n *\n * Source for this idea: https://stackoverflow.com/a/43607255\n */\nexport declare type SerializableConstructor<T extends Serializable> = {\n  // tslint:disable-next-line:no-any\n  new (...args: any[]): T; className: string; fromConfig: FromConfigMethod<T>;\n};\nexport declare type FromConfigMethod<T extends Serializable> =\n    (cls: SerializableConstructor<T>, config: ConfigDict) => T;\n\n/**\n * Serializable defines the serialization contract.\n *\n * TFJS requires serializable classes to return their className when asked\n * to avoid issues with minification.\n */\nexport abstract class Serializable {\n  /**\n   * Return the class name for this class to use in serialization contexts.\n   *\n   * Generally speaking this will be the same thing that constructor.name\n   * would have returned.  However, the class name needs to be robust\n   * against minification for serialization/deserialization to work properly.\n   *\n   * There's also places such as initializers.VarianceScaling, where\n   * implementation details between different languages led to different\n   * class hierarchies and a non-leaf node is used for serialization purposes.\n   */\n  getClassName(): string {\n    return (this.constructor as SerializableConstructor<Serializable>)\n        .className;\n  }\n\n  /**\n   * Return all the non-weight state needed to serialize this object.\n   */\n  abstract getConfig(): ConfigDict;\n\n  /**\n   * Creates an instance of T from a ConfigDict.\n   *\n   * This works for most descendants of serializable.  A few need to\n   * provide special handling.\n   * @param cls A Constructor for the class to instantiate.\n   * @param config The Configuration for the object.\n   */\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config);\n  }\n}\n\n/**\n * Maps string keys to class constructors.\n *\n * Used during (de)serialization from the cross-language JSON format, which\n * requires the class name in the serialization format matches the class\n * names as used in Python, should it exist.\n */\nexport class SerializationMap {\n  private static instance: SerializationMap;\n  classNameMap: {\n    [className: string]:\n        [SerializableConstructor<Serializable>, FromConfigMethod<Serializable>]\n  };\n\n  private constructor() {\n    this.classNameMap = {};\n  }\n\n  /**\n   * Returns the singleton instance of the map.\n   */\n  static getMap(): SerializationMap {\n    if (SerializationMap.instance == null) {\n      SerializationMap.instance = new SerializationMap();\n    }\n    return SerializationMap.instance;\n  }\n\n  /**\n   * Registers the class as serializable.\n   */\n  static register<T extends Serializable>(cls: SerializableConstructor<T>) {\n    SerializationMap.getMap().classNameMap[cls.className] =\n        [cls, cls.fromConfig];\n  }\n}\n\n/**\n * Register a class with the serialization map of TensorFlow.js.\n *\n * This is often used for registering custom Layers, so they can be\n * serialized and deserialized.\n *\n * Example:\n *\n * ```js\n * class MyCustomLayer extends tf.layers.Layer {\n *   static className = 'MyCustomLayer';\n *\n *   constructor(config) {\n *     super(config);\n *   }\n * }\n * tf.serialization.registerClass(MyCustomLayer);\n * ```\n *\n * @param cls The class to be registered. It must have a public static member\n *   called `className` defined and the value must be a non-empty string.\n */\n/** @doc {heading: 'Models', subheading: 'Serialization', ignoreCI: true} */\nexport function registerClass<T extends Serializable>(\n    cls: SerializableConstructor<T>) {\n  assert(\n      cls.className != null,\n      () => `Class being registered does not have the static className ` +\n          `property defined.`);\n  assert(\n      typeof cls.className === 'string',\n      () => `className is required to be a string, but got type ` +\n          typeof cls.className);\n  assert(\n      cls.className.length > 0,\n      () => `Class being registered has an empty-string as its className, ` +\n          `which is disallowed.`);\n\n  SerializationMap.register(cls);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from './engine';\nimport {inferShape} from './tensor_util_env';\nimport {RecursiveArray, TensorLike, TypedArray} from './types';\nimport {arraysEqual, flatten, isString, isTypedArray} from './util';\n\nconst TEST_EPSILON_FLOAT32 = 1e-3;\nexport const TEST_EPSILON_FLOAT16 = 1e-1;\n\nexport function expectArraysClose(\n    actual: TypedArray|number|RecursiveArray<number>,\n    expected: TypedArray|number|RecursiveArray<number>, epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  return expectArraysPredicate(\n      actual, expected, (a, b) => areClose(a as number, b as number, epsilon));\n}\n\nexport function testEpsilon() {\n  return ENGINE.backend.floatPrecision() === 32 ? TEST_EPSILON_FLOAT32 :\n                                                  TEST_EPSILON_FLOAT16;\n}\n\nfunction expectArraysPredicate(\n    actual: TensorLike, expected: TensorLike,\n    predicate: (a: {}, b: {}) => boolean) {\n  let checkClassType = true;\n  if (isTypedArray(actual) || isTypedArray(expected)) {\n    checkClassType = false;\n  }\n  if (isTypedArray(actual) && isTypedArray(expected)) {\n    checkClassType = true;\n  }\n  if (checkClassType) {\n    const aType = actual.constructor.name;\n    const bType = expected.constructor.name;\n\n    if (aType !== bType) {\n      throw new Error(\n          `Arrays are of different type. Actual: ${aType}. ` +\n          `Expected: ${bType}`);\n    }\n  }\n\n  if (Array.isArray(actual) && Array.isArray(expected)) {\n    const actualShape = inferShape(actual);\n    const expectedShape = inferShape(expected);\n    if (!arraysEqual(actualShape, expectedShape)) {\n      throw new Error(\n          `Arrays have different shapes. ` +\n          `Actual: [${actualShape}]. Expected: [${expectedShape}]`);\n    }\n  }\n\n  const actualFlat =\n      isTypedArray(actual) ? actual : flatten(actual as RecursiveArray<number>);\n  const expectedFlat = isTypedArray(expected) ?\n      expected :\n      flatten(expected as RecursiveArray<number>);\n\n  if (actualFlat.length !== expectedFlat.length) {\n    throw new Error(\n        `Arrays have different lengths actual: ${actualFlat.length} vs ` +\n        `expected: ${expectedFlat.length}.\\n` +\n        `Actual:   ${actualFlat}.\\n` +\n        `Expected: ${expectedFlat}.`);\n  }\n  for (let i = 0; i < expectedFlat.length; ++i) {\n    const a = actualFlat[i];\n    const e = expectedFlat[i];\n\n    if (!predicate(a, e)) {\n      throw new Error(\n          `Arrays differ: actual[${i}] = ${a}, expected[${i}] = ${e}.\\n` +\n          `Actual:   ${actualFlat}.\\n` +\n          `Expected: ${expectedFlat}.`);\n    }\n  }\n}\n\nexport interface DoneFn {\n  (): void;\n  fail: (message?: Error|string) => void;\n}\n\nexport function expectPromiseToFail(fn: () => Promise<{}>, done: DoneFn): void {\n  fn().then(() => done.fail(), () => done());\n}\n\nexport function expectArraysEqual(actual: TensorLike, expected: TensorLike) {\n  const exp = typeof expected === 'string' || typeof expected === 'number' ||\n          typeof expected === 'boolean' ?\n      [expected] as number[] :\n      expected as number[];\n  if (isString(actual) || isString((actual as string[])[0]) ||\n      isString(expected) || isString((expected as string[])[0])) {\n    // tslint:disable-next-line: triple-equals\n    return expectArraysPredicate(actual, exp, (a, b) => a == b);\n  }\n  return expectArraysPredicate(\n      actual, expected, (a, b) => areClose(a as number, b as number, 0));\n}\n\nexport function expectNumbersClose(a: number, e: number, epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  if (!areClose(a, e, epsilon)) {\n    throw new Error(`Numbers differ: actual === ${a}, expected === ${e}`);\n  }\n}\n\nfunction areClose(a: number, e: number, epsilon: number): boolean {\n  if (!isFinite(a) && !isFinite(e)) {\n    return true;\n  }\n  if (isNaN(a) || isNaN(e) || Math.abs(a - e) > epsilon) {\n    return false;\n  }\n  return true;\n}\n\nexport function expectValuesInRange(\n    actual: TypedArray|number[], low: number, high: number) {\n  for (let i = 0; i < actual.length; i++) {\n    if (actual[i] < low || actual[i] > high) {\n      throw new Error(\n          `Value out of range:${actual[i]} low: ${low}, high: ${high}`);\n    }\n  }\n}\n\nexport function expectArrayBuffersEqual(\n    actual: ArrayBuffer, expected: ArrayBuffer) {\n  // Safari & Jasmine don't like comparing ArrayBuffers directly. Wrapping in\n  // a Float32Array solves this issue.\n  expect(new Float32Array(actual)).toEqual(new Float32Array(expected));\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.5.2';\nexport {version};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as gpgpu_util from './backends/webgl/gpgpu_util';\nimport * as webgl_util from './backends/webgl/webgl_util';\nimport {env} from './environment';\n\nexport {MathBackendWebGL, WebGLMemoryInfo, WebGLTimingInfo} from './backends/webgl/backend_webgl';\nexport {setWebGLContext} from './backends/webgl/canvas_util';\nexport {GPGPUContext} from './backends/webgl/gpgpu_context';\nexport {GPGPUProgram} from './backends/webgl/gpgpu_math';\n// WebGL specific utils.\nexport {gpgpu_util, webgl_util};\n\n/**\n * Enforce use of half precision textures if available on the platform.\n */\n/** @doc {heading: 'Environment', namespace: 'webgl'} */\nexport function forceHalfFloat(): void {\n  env().set('WEBGL_FORCE_F16_TEXTURES', true);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {dispose} from '../globals';\nimport {variableGrads} from '../gradients';\nimport {scalar} from '../ops/ops';\nimport {Serializable} from '../serialization';\nimport {Scalar, Variable} from '../tensor';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\n/**\n * A variable that belongs to an optimizer.\n *\n * The `originalName` field is required for keeping track of the canonical\n * name of the variable, which is usually the name of the model weight that\n * the variable is related to plus a suffix, e.g., 'dense1/kernel/momentum'.\n * The name of the `Variable` object itself cannot be used directly due to\n * possible deduplication: Every `Variable` must have a unique name but more\n * than one optimizer objects of the same type may be created for the same model\n * or the same `Variable`.\n */\nexport interface OptimizerVariable {\n  originalName: string;\n  variable: Variable;\n}\n\n/** @doc {heading: 'Training', subheading: 'Classes', namespace: 'train'} */\nexport abstract class Optimizer extends Serializable {\n  protected iterations_: number;\n\n  /**\n   * Executes `f()` and minimizes the scalar output of `f()` by computing\n   * gradients of y with respect to the list of trainable variables provided by\n   * `varList`. If no list is provided, it defaults to all trainable variables.\n   *\n   * @param f The function to execute and whose output to minimize.\n   * @param returnCost Whether to return the scalar cost value produced by\n   * executing `f()`.\n   * @param varList An optional list of variables to update. If specified, only\n   * the trainable variables in varList will be updated by minimize. Defaults to\n   * all trainable variables.\n   */\n  /** @doc {heading: 'Training', subheading: 'Optimizers'} */\n  minimize(f: () => Scalar, returnCost = false, varList?: Variable[]): Scalar\n      |null {\n    const {value, grads} = this.computeGradients(f, varList);\n\n    if (varList != null) {\n      const gradArray: NamedTensor[] =\n          varList.map(v => ({name: v.name, tensor: grads[v.name]}));\n      this.applyGradients(gradArray);\n    } else {\n      this.applyGradients(grads);\n    }\n\n    // Dispose gradients.\n    dispose(grads);\n\n    if (returnCost) {\n      return value;\n    } else {\n      value.dispose();\n      return null;\n    }\n  }\n\n  /**\n   * The number of iterations that this optimizer instance has been invoked for.\n   */\n  get iterations(): number {\n    if (this.iterations_ == null) {\n      this.iterations_ = 0;\n    }\n    return this.iterations_;\n  }\n\n  protected incrementIterations() {\n    this.iterations_ = this.iterations + 1;\n  }\n\n  /**\n   * Executes f() and computes the gradient of the scalar output of f() with\n   * respect to the list of trainable variables provided by `varList`. If no\n   * list is provided, it defaults to all trainable variables.\n   *\n   * @param f The function to execute and whose output to use for computing\n   * gradients with respect to variables.\n   * @param varList An optional list of variables to compute gradients with\n   * respect to. If specified, only the trainable variables in varList will have\n   * gradients computed with respect to. Defaults to all trainable variables.\n   */\n  computeGradients(f: () => Scalar, varList?: Variable[]):\n      {value: Scalar, grads: NamedTensorMap} {\n    return variableGrads(f, varList);\n  }\n\n  /**\n   * Updates variables by using the computed gradients.\n   *\n   * @param variableGradients A mapping of variable name to its gradient value.\n   */\n  abstract applyGradients(variableGradients: NamedTensorMap|\n                          NamedTensor[]): void;\n\n  /**\n   * Dispose the variables (if any) owned by this optimizer instance.\n   */\n  dispose(): void {\n    if (this.iterations_ != null) {\n      dispose(this.iterations_);\n    }\n  }\n\n  async saveIterations(): Promise<NamedTensor> {\n    if (this.iterations_ == null) {\n      this.iterations_ = 0;\n    }\n    return {\n      name: 'iter',  // Named for Python compatibility.\n      // TODO(cais): Use 'int64' type when available.\n      tensor: scalar(this.iterations_, 'int32')\n    };\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    throw new Error('getWeights() is not implemented for this optimizer yet.');\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    throw new Error(\n        `setWeights() is not implemented for this optimizer class ` +\n        `${this.getClassName()}`);\n  }\n\n  /**\n   * Extract the first element of the weight values and set it\n   * as the iterations counter variable of this instance of optimizer.\n   *\n   * @param weightValues\n   * @returns Weight values with the first element consumed and excluded.\n   */\n  protected async extractIterations(weightValues: NamedTensor[]):\n      Promise<NamedTensor[]> {\n    this.iterations_ = (await weightValues[0].tensor.data())[0];\n    return weightValues.slice(1);\n  }\n}\n\nObject.defineProperty(Optimizer, Symbol.hasInstance, {\n  value: (instance: Optimizer) => {\n    return instance.minimize != null && instance.computeGradients != null &&\n        instance.applyGradients != null;\n  }\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class AdadeltaOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adadelta';  // Name matters for Python compatibility.\n  private accumulatedGrads: OptimizerVariable[] = [];\n  private accumulatedUpdates: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected rho: number,\n      protected epsilon: number = null) {\n    super();\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      const trainable = false;\n      if (this.accumulatedGrads[i] == null) {\n        this.accumulatedGrads[i] = {\n          originalName: `${name}/accum_grad`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedUpdates[i] == null) {\n        this.accumulatedUpdates[i] = {\n          originalName: `${name}/accum_var`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedGrad = this.accumulatedGrads[i].variable;\n      const accumulatedUpdate = this.accumulatedUpdates[i].variable;\n\n      tidy(() => {\n        const newAccumulatedGrad = accumulatedGrad.mul(this.rho).add(\n            gradient.square().mul(1 - this.rho));\n\n        const updates = accumulatedUpdate.add(this.epsilon)\n                            .sqrt()\n                            .div(accumulatedGrad.add(this.epsilon).sqrt())\n                            .mul(gradient);\n\n        const newAccumulatedUpdate = accumulatedUpdate.mul(this.rho).add(\n            updates.square().mul(1 - this.rho));\n\n        accumulatedGrad.assign(newAccumulatedGrad);\n        accumulatedUpdate.assign(newAccumulatedUpdate);\n\n        const newValue = updates.mul(-this.learningRate).add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedUpdates != null) {\n      dispose(this.accumulatedGrads.map(v => v.variable));\n      dispose(this.accumulatedUpdates.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedGrads, ...this.accumulatedUpdates];\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const variableCount = weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedGrads =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedUpdates =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'rho': this.rho,\n      'epsilon': this.epsilon\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate'], config['rho'], config['epsilon']);\n  }\n}\nregisterClass(AdadeltaOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {fill} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class AdagradOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adagrad';  // Note: Name matters for Python compatibility.\n\n  private accumulatedGrads: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, private initialAccumulatorValue = 0.1) {\n    super();\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      if (this.accumulatedGrads[i] == null) {\n        const trainable = false;\n        this.accumulatedGrads[i] = {\n          originalName: `${name}/accumulator`,\n          variable: tidy(\n              () => fill(value.shape, this.initialAccumulatorValue)\n                        .variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedGrad = this.accumulatedGrads[i].variable;\n\n      tidy(() => {\n        const newAccumulatedGrad = accumulatedGrad.add(gradient.square());\n        accumulatedGrad.assign(newAccumulatedGrad);\n\n        const newValue =\n            gradient\n                .div(newAccumulatedGrad.add(ENGINE.backend.epsilon()).sqrt())\n                .mul(-this.learningRate)\n                .add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedGrads != null) {\n      dispose(this.accumulatedGrads.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    return [await this.saveIterations()].concat(this.accumulatedGrads.map(\n        v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const trainable = false;\n    this.accumulatedGrads = weightValues.map(\n        v => ({originalName: v.name, variable: v.tensor.variable(trainable)}));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'initialAccumulatorValue': this.initialAccumulatorValue,\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate'], config['initialAccumulatorValue']);\n  }\n}\nregisterClass(AdagradOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {pow, scalar, sub, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Variable} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\nexport class AdamOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adam';  // Note: Name matters for Python compatibility.\n  private accBeta1: Variable;\n  private accBeta2: Variable;\n\n  private accumulatedFirstMoment: OptimizerVariable[] = [];\n  private accumulatedSecondMoment: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected beta1: number,\n      protected beta2: number, protected epsilon: number = null) {\n    super();\n    tidy(() => {\n      // accB* will be updated by batch.\n      this.accBeta1 = scalar(beta1).variable();\n      this.accBeta2 = scalar(beta2).variable();\n    });\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const varNames = Array.isArray(variableGradients) ?\n        variableGradients.map(v => v.name) :\n        Object.keys(variableGradients);\n    tidy(() => {\n      const oneMinusAccBeta1 = sub(1, this.accBeta1);\n      const oneMinusAccBeta2 = sub(1, this.accBeta2);\n\n      varNames.forEach((name, i) => {\n        const value = ENGINE.registeredVariables[name];\n        const trainable = false;\n        if (this.accumulatedFirstMoment[i] == null) {\n          this.accumulatedFirstMoment[i] = {\n            originalName: `${name}/m`,\n            variable: tidy(() => zerosLike(value).variable(trainable))\n          };\n        }\n        if (this.accumulatedSecondMoment[i] == null) {\n          this.accumulatedSecondMoment[i] = {\n            originalName: `${name}/v`,\n            variable: tidy(() => zerosLike(value).variable(trainable))\n          };\n        }\n\n        const gradient = Array.isArray(variableGradients) ?\n            variableGradients[i].tensor :\n            variableGradients[name];\n        if (gradient == null) {\n          return;\n        }\n\n        const firstMoment = this.accumulatedFirstMoment[i].variable;\n        const secondMoment = this.accumulatedSecondMoment[i].variable;\n\n        const newFirstMoment =\n            firstMoment.mul(this.beta1).add(gradient.mul(1 - this.beta1));\n        const newSecondMoment = secondMoment.mul(this.beta2)\n                                    .add(gradient.square().mul(1 - this.beta2));\n\n        const biasCorrectedFirstMoment = newFirstMoment.div(oneMinusAccBeta1);\n        const biasCorrectedSecondMoment = newSecondMoment.div(oneMinusAccBeta2);\n\n        firstMoment.assign(newFirstMoment);\n        secondMoment.assign(newSecondMoment);\n\n        const newValue =\n            biasCorrectedFirstMoment\n                .div(biasCorrectedSecondMoment.sqrt().add(this.epsilon))\n                .mul(-this.learningRate)\n                .add(value);\n        value.assign(newValue);\n      });\n\n      this.accBeta1.assign(this.accBeta1.mul(this.beta1));\n      this.accBeta2.assign(this.accBeta2.mul(this.beta2));\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.accBeta1.dispose();\n    this.accBeta2.dispose();\n\n    if (this.accumulatedFirstMoment != null) {\n      dispose(this.accumulatedFirstMoment.map(v => v.variable));\n    }\n    if (this.accumulatedSecondMoment != null) {\n      dispose(this.accumulatedSecondMoment.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedFirstMoment, ...this.accumulatedSecondMoment];\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    tidy(() => {\n      this.accBeta1.assign(pow(this.beta1, this.iterations_ + 1));\n      this.accBeta2.assign(pow(this.beta2, this.iterations_ + 1));\n    });\n\n    const variableCount = weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedFirstMoment =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedSecondMoment =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'beta1': this.beta1,\n      'beta2': this.beta2,\n      'epsilon': this.epsilon,\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['beta1'], config['beta2'],\n        config['epsilon']);\n  }\n}\nregisterClass(AdamOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {div, scalar, sub, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Variable} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\nexport class AdamaxOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adamax';  // Note: Name matters for Python compatbility.\n  private accBeta1: Variable;\n  private iteration: Variable;\n\n  private accumulatedFirstMoment: OptimizerVariable[] = [];\n  private accumulatedWeightedInfNorm: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected beta1: number,\n      protected beta2: number, protected epsilon: number = null,\n      protected decay = 0.0) {\n    super();\n\n    tidy(() => {\n      this.iteration = scalar(0).variable();\n      this.accBeta1 = scalar(beta1).variable();\n    });\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    tidy(() => {\n      const oneMinusAccBeta1 = sub(1, this.accBeta1);\n      const lr = div(-this.learningRate, this.iteration.mul(this.decay).add(1));\n\n      variableNames.forEach((name, i) => {\n        const value = ENGINE.registeredVariables[name];\n        const trainable = false;\n        if (this.accumulatedFirstMoment[i] == null) {\n          this.accumulatedFirstMoment[i] = {\n            originalName: `${name}/m`,\n            variable: zerosLike(value).variable(trainable)\n          };\n        }\n        if (this.accumulatedWeightedInfNorm[i] == null) {\n          this.accumulatedWeightedInfNorm[i] = {\n            originalName: `${name}/v`,\n            variable: zerosLike(value).variable(trainable)\n          };\n        }\n\n        const gradient = Array.isArray(variableGradients) ?\n            variableGradients[i].tensor :\n            variableGradients[name];\n        if (gradient == null) {\n          return;\n        }\n\n        const firstMoment = this.accumulatedFirstMoment[i].variable;\n        const weightedInfNorm = this.accumulatedWeightedInfNorm[i].variable;\n\n        const newFirstMoment =\n            firstMoment.mul(this.beta1).add(gradient.mul(1 - this.beta1));\n\n        const ut0 = weightedInfNorm.mul(this.beta2);\n        const ut1 = gradient.abs();\n\n        const newWeightedInfNorm = ut0.maximum(ut1);\n\n        firstMoment.assign(newFirstMoment);\n        weightedInfNorm.assign(newWeightedInfNorm);\n\n        const newValue =\n            lr.div(oneMinusAccBeta1)\n                .mul(newFirstMoment.div(newWeightedInfNorm.add(this.epsilon)))\n                .add(value);\n\n        value.assign(newValue);\n      });\n\n      this.iteration.assign(this.iteration.add(1));\n      this.accBeta1.assign(this.accBeta1.mul(this.beta1));\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.accBeta1.dispose();\n    this.iteration.dispose();\n\n    if (this.accumulatedFirstMoment != null) {\n      dispose(this.accumulatedFirstMoment.map(v => v.variable));\n    }\n    if (this.accumulatedWeightedInfNorm != null) {\n      dispose(this.accumulatedWeightedInfNorm.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    throw new Error('getWeights() is not implemented for Adamax yet.');\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    throw new Error('setWeights() is not implemented for Adamax yet.');\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'beta1': this.beta1,\n      'beta2': this.beta2,\n      'epsilon': this.epsilon,\n      'decay': this.decay\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['beta1'], config['beta2'],\n        config['epsilon'], config['decay']);\n  }\n}\nregisterClass(AdamaxOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {keep, tidy} from '../globals';\nimport {scalar} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Scalar} from '../tensor';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\nimport {Optimizer} from './optimizer';\n\n/** @doclink Optimizer */\nexport class SGDOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'SGD';  // Note: Name matters for Python compatibility.\n  protected c: Scalar;\n\n  constructor(protected learningRate: number) {\n    super();\n    this.setLearningRate(learningRate);\n  }\n\n  applyGradients(variableGradients: NamedTensorMap|NamedTensor[]) {\n    const varNames = Array.isArray(variableGradients) ?\n        variableGradients.map(v => v.name) :\n        Object.keys(variableGradients);\n    varNames.forEach((name, i) => {\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n      const value = ENGINE.registeredVariables[name];\n      tidy(() => {\n        const newValue = this.c.mul(gradient).add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  /**\n   * Sets the learning rate of the optimizer.\n   */\n  setLearningRate(learningRate: number) {\n    this.learningRate = learningRate;\n    if (this.c != null) {\n      this.c.dispose();\n    }\n    this.c = keep(scalar(-learningRate));\n  }\n\n  dispose() {\n    this.c.dispose();\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    return [await this.saveIterations()];\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    if (weightValues.length !== 0) {\n      throw new Error('SGD optimizer does not have settable weights.');\n    }\n  }\n\n  getConfig(): ConfigDict {\n    return {'learningRate': this.learningRate};\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate']);\n  }\n}\nregisterClass(SGDOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {scalar, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Scalar, Tensor} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {OptimizerVariable} from './optimizer';\nimport {SGDOptimizer} from './sgd_optimizer';\n\n/** @doclink Optimizer */\nexport class MomentumOptimizer extends SGDOptimizer {\n  /** @nocollapse */\n  static className = 'Momentum';  // Name matters for Python compatibility.\n  private m: Scalar;\n  private accumulations: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, private momentum: number,\n      private useNesterov = false) {\n    super(learningRate);\n    this.m = scalar(this.momentum);\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      if (this.accumulations[i] == null) {\n        const trainable = false;\n        this.accumulations[i] = {\n          originalName: `${name}/momentum`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const accumulation = this.accumulations[i].variable;\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      tidy(() => {\n        let newValue: Tensor;\n        const newAccumulation = this.m.mul(accumulation).add(gradient);\n        if (this.useNesterov) {\n          newValue =\n              this.c.mul(gradient.add(newAccumulation.mul(this.m))).add(value);\n        } else {\n          newValue = this.c.mul(newAccumulation).add(value);\n        }\n        accumulation.assign(newAccumulation);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.m.dispose();\n    if (this.accumulations != null) {\n      dispose(this.accumulations.map(v => v.variable));\n    }\n  }\n\n  /**\n   * Sets the momentum of the optimizer.\n   *\n   * @param momentum\n   */\n  setMomentum(momentum: number) {\n    this.momentum = momentum;\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    return [await this.saveIterations()].concat(this.accumulations.map(\n        v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const trainable = false;\n    this.accumulations = weightValues.map(\n        v => ({originalName: v.name, variable: v.tensor.variable(trainable)}));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'momentum': this.momentum,\n      'useNesterov': this.useNesterov\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['momentum'], config['useNesterov']);\n  }\n}\nregisterClass(MomentumOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class RMSPropOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'RMSProp';  // Note: Name matters for Python compatibility.\n  private centered: boolean;\n\n  private accumulatedMeanSquares: OptimizerVariable[] = [];\n  private accumulatedMoments: OptimizerVariable[] = [];\n  private accumulatedMeanGrads: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected decay = 0.9,\n      protected momentum = 0.0, protected epsilon: number = null,\n      centered = false) {\n    super();\n\n    this.centered = centered;\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n    if (learningRate == null) {\n      throw new Error(`learningRate for RMSPropOptimizer must be defined.`);\n    }\n  }\n\n  applyGradients(variableGradients: NamedTensorMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      const trainable = false;\n      if (this.accumulatedMeanSquares[i] == null) {\n        this.accumulatedMeanSquares[i] = {\n          originalName: `${name}/rms`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedMoments[i] == null) {\n        this.accumulatedMoments[i] = {\n          originalName: `${name}/momentum`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedMeanGrads[i] == null && this.centered) {\n        this.accumulatedMeanGrads[i] = {\n          originalName: `${name}/mg`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedMeanSquare = this.accumulatedMeanSquares[i].variable;\n      const accumulatedMoments = this.accumulatedMoments[i].variable;\n      tidy(() => {\n        const newAccumulatedMeanSquare =\n            accumulatedMeanSquare.mul(this.decay)\n                .add(gradient.square().mul(1 - this.decay));\n\n        if (this.centered) {\n          const accumulatedMeanGrad = this.accumulatedMeanGrads[i].variable;\n          // Centered gradient\n          const newAccumulatedMeanGrad = accumulatedMeanGrad.mul(this.decay)\n                                             .add(gradient.mul(1 - this.decay));\n\n          const newAccumulatedMoments =\n              accumulatedMoments.mul(this.momentum)\n                  .add(gradient.mul(this.learningRate)\n                           .div(newAccumulatedMeanSquare\n                                    .sub(newAccumulatedMeanGrad.square().add(\n                                        this.epsilon))\n                                    .sqrt()));\n\n          accumulatedMeanSquare.assign(newAccumulatedMeanSquare);\n          accumulatedMeanGrad.assign(newAccumulatedMeanGrad);\n          accumulatedMoments.assign(newAccumulatedMoments);\n\n          const newValue = value.sub(newAccumulatedMoments);\n          value.assign(newValue);\n        } else {\n          // Plain gradient\n          const newAccumulatedMeanSquare =\n              accumulatedMeanSquare.mul(this.decay)\n                  .add(gradient.square().mul(1 - this.decay));\n\n          const newAccumulatedMoments =\n              accumulatedMoments.mul(this.momentum)\n                  .add(gradient.mul(this.learningRate)\n                           .div(newAccumulatedMeanSquare.add(this.epsilon)\n                                    .sqrt()));\n\n          accumulatedMeanSquare.assign(newAccumulatedMeanSquare);\n          accumulatedMoments.assign(newAccumulatedMoments);\n\n          const newValue = value.sub(newAccumulatedMoments);\n          value.assign(newValue);\n        }\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedMeanSquares != null) {\n      dispose(this.accumulatedMeanSquares.map(v => v.variable));\n    }\n    if (this.accumulatedMeanGrads != null && this.centered) {\n      dispose(this.accumulatedMeanGrads.map(v => v.variable));\n    }\n    if (this.accumulatedMoments != null) {\n      dispose(this.accumulatedMoments.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedMeanSquares, ...this.accumulatedMoments];\n    if (this.centered) {\n      variables.push(...this.accumulatedMeanGrads);\n    }\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const variableCount =\n        this.centered ? weightValues.length / 3 : weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedMeanSquares =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedMoments =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n    if (this.centered) {\n      this.accumulatedMeanGrads =\n          weightValues.slice(variableCount * 2, variableCount * 3)\n              .map(v => ({\n                     originalName: v.name,\n                     variable: v.tensor.variable(trainable)\n                   }));\n    }\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'decay': this.decay,\n      'momentum': this.momentum,\n      'epsilon': this.epsilon,\n      'centered': this.centered\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['decay'], config['momentum'],\n        config['epsilon'], config['centered']);\n  }\n}\nregisterClass(RMSPropOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {AdadeltaOptimizer} from './adadelta_optimizer';\nimport {AdagradOptimizer} from './adagrad_optimizer';\nimport {AdamOptimizer} from './adam_optimizer';\nimport {AdamaxOptimizer} from './adamax_optimizer';\nimport {MomentumOptimizer} from './momentum_optimizer';\nimport {RMSPropOptimizer} from './rmsprop_optimizer';\nimport {SGDOptimizer} from './sgd_optimizer';\n\nexport class OptimizerConstructors {\n  /**\n   * Constructs a `tf.SGDOptimizer` that uses stochastic gradient descent.\n   *\n   * ```js\n   * // Fit a quadratic function by learning the coefficients a, b, c.\n   * const xs = tf.tensor1d([0, 1, 2, 3]);\n   * const ys = tf.tensor1d([1.1, 5.9, 16.8, 33.9]);\n   *\n   * const a = tf.scalar(Math.random()).variable();\n   * const b = tf.scalar(Math.random()).variable();\n   * const c = tf.scalar(Math.random()).variable();\n   *\n   * // y = a * x^2 + b * x + c.\n   * const f = x => a.mul(x.square()).add(b.mul(x)).add(c);\n   * const loss = (pred, label) => pred.sub(label).square().mean();\n   *\n   * const learningRate = 0.01;\n   * const optimizer = tf.train.sgd(learningRate);\n   *\n   * // Train the model.\n   * for (let i = 0; i < 10; i++) {\n   *   optimizer.minimize(() => loss(f(xs), ys));\n   * }\n   *\n   * // Make predictions.\n   * console.log(\n   *     `a: ${a.dataSync()}, b: ${b.dataSync()}, c: ${c.dataSync()}`);\n   * const preds = f(xs).dataSync();\n   * preds.forEach((pred, i) => {\n   *   console.log(`x: ${i}, pred: ${pred}`);\n   * });\n   * ```\n   *\n   * @param learningRate The learning rate to use for the SGD algorithm.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static sgd(learningRate: number): SGDOptimizer {\n    return new SGDOptimizer(learningRate);\n  }\n\n  /**\n   * Constructs a `tf.MomentumOptimizer` that uses momentum gradient\n   * descent.\n   *\n   * See\n   * [http://proceedings.mlr.press/v28/sutskever13.pdf](\n   * http://proceedings.mlr.press/v28/sutskever13.pdf)\n   *\n   * @param learningRate The learning rate to use for the Momentum gradient\n   * descent algorithm.\n   * @param momentum The momentum to use for the momentum gradient descent\n   * algorithm.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static momentum(learningRate: number, momentum: number, useNesterov = false):\n      MomentumOptimizer {\n    return new MomentumOptimizer(learningRate, momentum, useNesterov);\n  }\n\n  /**\n   * Constructs a `tf.RMSPropOptimizer` that uses RMSProp gradient\n   * descent. This implementation uses plain momentum and is not centered\n   * version of RMSProp.\n   *\n   * See\n   * [http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf](\n   * http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf)\n   *\n   * @param learningRate The learning rate to use for the RMSProp gradient\n   * descent algorithm.\n   * @param decay The discounting factor for the history/coming gradient.\n   * @param momentum The momentum to use for the RMSProp gradient descent\n   * algorithm.\n   * @param epsilon Small value to avoid zero denominator.\n   * @param centered If true, gradients are normalized by the estimated\n   * variance of the gradient.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static rmsprop(\n      learningRate: number, decay = .9, momentum = 0.0, epsilon: number = null,\n      centered = false): RMSPropOptimizer {\n    return new RMSPropOptimizer(\n        learningRate, decay, momentum, epsilon, centered);\n  }\n\n  /**\n   * Constructs a `tf.AdamOptimizer` that uses the Adam algorithm.\n   * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980)\n   *\n   * @param learningRate The learning rate to use for the Adam gradient\n   * descent algorithm.\n   * @param beta1 The exponential decay rate for the 1st moment estimates.\n   * @param beta2 The exponential decay rate for the 2nd moment estimates.\n   * @param epsilon A small constant for numerical stability.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adam(\n      learningRate = 0.001, beta1 = 0.9, beta2 = 0.999,\n      epsilon: number = null): AdamOptimizer {\n    return new AdamOptimizer(learningRate, beta1, beta2, epsilon);\n  }\n\n  /**\n   * Constructs a `tf.AdadeltaOptimizer` that uses the Adadelta algorithm.\n   * See [https://arxiv.org/abs/1212.5701](https://arxiv.org/abs/1212.5701)\n   *\n   * @param learningRate The learning rate to use for the Adadelta gradient\n   * descent algorithm.\n   * @param rho The learning rate decay over each update.\n   * @param epsilon A constant epsilon used to better condition the grad\n   * update.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adadelta(learningRate = .001, rho = .95, epsilon: number = null):\n      AdadeltaOptimizer {\n    return new AdadeltaOptimizer(learningRate, rho, epsilon);\n  }\n\n  /**\n   * Constructs a `tf.AdamaxOptimizer` that uses the Adamax algorithm.\n   * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980)\n   *\n   * @param learningRate The learning rate to use for the Adamax gradient\n   * descent algorithm.\n   * @param beta1 The exponential decay rate for the 1st moment estimates.\n   * @param beta2 The exponential decay rate for the 2nd moment estimates.\n   * @param epsilon A small constant for numerical stability.\n   * @param decay The learning rate decay over each update.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adamax(\n      learningRate = 0.002, beta1 = 0.9, beta2 = 0.999, epsilon: number = null,\n      decay = 0.0): AdamaxOptimizer {\n    return new AdamaxOptimizer(learningRate, beta1, beta2, epsilon, decay);\n  }\n\n  /**\n   * Constructs a `tf.AdagradOptimizer` that uses the Adagrad algorithm.\n   * See\n   * [http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf](\n   * http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf)\n   * or\n   * [http://ruder.io/optimizing-gradient-descent/index.html#adagrad](\n   * http://ruder.io/optimizing-gradient-descent/index.html#adagrad)\n   *\n   * @param learningRate The learning rate to use for the Adagrad gradient\n   * descent algorithm.\n   * @param initialAccumulatorValue Starting value for the accumulators, must be\n   * positive.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adagrad(learningRate: number, initialAccumulatorValue = 0.1):\n      AdagradOptimizer {\n    return new AdagradOptimizer(learningRate, initialAccumulatorValue);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// So typings can propagate.\nimport {AdadeltaOptimizer} from './optimizers/adadelta_optimizer';\nimport {AdagradOptimizer} from './optimizers/adagrad_optimizer';\nimport {AdamOptimizer} from './optimizers/adam_optimizer';\nimport {AdamaxOptimizer} from './optimizers/adamax_optimizer';\nimport {MomentumOptimizer} from './optimizers/momentum_optimizer';\nimport {OptimizerConstructors} from './optimizers/optimizer_constructors';\nimport {RMSPropOptimizer} from './optimizers/rmsprop_optimizer';\nimport {SGDOptimizer} from './optimizers/sgd_optimizer';\n\n// tslint:disable-next-line:no-unused-expression\n[MomentumOptimizer, SGDOptimizer, AdadeltaOptimizer, AdagradOptimizer,\n RMSPropOptimizer, AdamaxOptimizer, AdamOptimizer];\n\nexport const train = {\n  sgd: OptimizerConstructors.sgd,\n  momentum: OptimizerConstructors.momentum,\n  adadelta: OptimizerConstructors.adadelta,\n  adagrad: OptimizerConstructors.adagrad,\n  rmsprop: OptimizerConstructors.rmsprop,\n  adamax: OptimizerConstructors.adamax,\n  adam: OptimizerConstructors.adam\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nconst delayCallback: Function = (() => {\n  if (typeof requestAnimationFrame !== 'undefined') {\n    return requestAnimationFrame;\n  } else if (typeof setImmediate !== 'undefined') {\n    return setImmediate;\n  }\n  return (f: Function) => f();  // no delays\n})();\n\n/**\n * Returns a promise that resolve when a requestAnimationFrame has completed.\n *\n * On Node.js this uses setImmediate instead of requestAnimationFrame.\n *\n * This is simply a sugar method so that users can do the following:\n * `await tf.nextFrame();`\n */\n/** @doc {heading: 'Performance', subheading: 'Timing'} */\nfunction nextFrame(): Promise<void> {\n  return new Promise<void>(resolve => delayCallback(() => resolve()));\n}\n\nexport {nextFrame};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * @fileoverview\n * @suppress {partialAlias} Optimization disabled due to passing the module\n * object into a function below:\n *\n *   import * as ops from './ops/ops';\n *   setOpHandler(ops);\n */\n\n// Engine is the global singleton that needs to be initialized before the rest\n// of the app.\nimport './engine';\n// Register backend-agnostic flags.\nimport './flags';\n// backend_cpu.ts and backend_webgl.ts are standalone files and should be\n// explicitly included here.\nimport './backends/webgl/backend_webgl';\nimport './backends/cpu/backend_cpu';\n// Import all kernels from cpu.\nimport './backends/cpu/all_kernels';\n// Import all kernels from webgl.\nimport './backends/webgl/all_kernels';\nimport './platforms/platform_browser';\nimport './platforms/platform_node';\n\nimport * as backend_util from './backends/backend_util';\n// Serialization.\nimport * as io from './io/io';\nimport * as math from './math';\nimport * as browser from './ops/browser';\nimport * as gather_util from './ops/gather_nd_util';\nimport * as scatter_util from './ops/scatter_nd_util';\nimport * as slice_util from './ops/slice_util';\nimport * as serialization from './serialization';\nimport {setOpHandler} from './tensor';\nimport * as tensor_util from './tensor_util';\nimport * as test_util from './test_util';\nimport * as util from './util';\nimport {version} from './version';\nimport * as webgl from './webgl';\n\nexport {InferenceModel, MetaGraph, MetaGraphInfo, ModelPredictConfig, ModelTensorInfo, SavedModelTensorInfo, SignatureDef, SignatureDefInfo} from './model_types';\n// Optimizers.\nexport {AdadeltaOptimizer} from './optimizers/adadelta_optimizer';\nexport {AdagradOptimizer} from './optimizers/adagrad_optimizer';\nexport {AdamOptimizer} from './optimizers/adam_optimizer';\nexport {AdamaxOptimizer} from './optimizers/adamax_optimizer';\nexport {MomentumOptimizer} from './optimizers/momentum_optimizer';\nexport {Optimizer} from './optimizers/optimizer';\nexport {RMSPropOptimizer} from './optimizers/rmsprop_optimizer';\nexport {SGDOptimizer} from './optimizers/sgd_optimizer';\nexport {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer, Variable} from './tensor';\nexport {GradSaveFunc, NamedTensorMap, TensorContainer, TensorContainerArray, TensorContainerObject} from './tensor_types';\nexport {DataType, DataTypeMap, DataValues, Rank, RecursiveArray, ShapeMap, sumOutType, TensorLike} from './types';\n\nexport * from './ops/ops';\nexport {LSTMCellFunc} from './ops/lstm';\nexport {Reduction} from './ops/loss_ops';\n\nexport * from './train';\nexport * from './globals';\nexport * from './kernel_registry';\nexport {customGrad, grad, grads, valueAndGrad, valueAndGrads, variableGrads} from './gradients';\n\nexport {TimingInfo, MemoryInfo} from './engine';\nexport {Environment, env, ENV} from './environment';\nexport {Platform} from './platforms/platform';\n\nexport {version as version_core};\n\n// Top-level method exports.\nexport {nextFrame} from './browser_util';\n\n// Second level exports.\nexport {\n  browser,\n  io,\n  math,\n  serialization,\n  test_util,\n  util,\n  backend_util,\n  webgl,\n  tensor_util,\n  slice_util,\n  gather_util,\n  scatter_util\n};\n\n// Backend specific.\nexport {KernelBackend, BackendTimingInfo, DataMover, DataStorage} from './backends/backend';\n\nimport * as ops from './ops/ops';\nsetOpHandler(ops);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original source: keras/callbacks.py */\n\nimport {BaseCallback} from './base_callbacks';\nimport {Container} from './engine/container';\nimport {LayersModel} from './engine/training';\nimport {NotImplementedError} from './errors';\nimport {Logs, resolveScalarsInLogs} from './logs';\n\nexport abstract class Callback extends BaseCallback {\n  /** Instance of `keras.models.Model`. Reference of the model being trained. */\n  model: LayersModel = null;\n\n  setModel(model: Container): void {\n    if (!(model instanceof LayersModel)) {\n      throw new Error('model must be a LayersModel, not some other Container');\n    }\n    this.model = model;\n  }\n}\n\nexport interface EarlyStoppingCallbackArgs {\n  /**\n   * Quantity to be monitored.\n   *\n   * Defaults to 'val_loss'.\n   */\n  monitor?: string;\n\n  /**\n   * Minimum change in the monitored quantity to qualify as improvement,\n   * i.e., an absolute change of less than `minDelta` will count as no\n   * improvement.\n   *\n   * Defaults to 0.\n   */\n  minDelta?: number;\n\n  /**\n   * Number of epochs with no improvement after which training will be stopped.\n   *\n   * Defaults to 0.\n   */\n  patience?: number;\n\n  /** Verbosity mode. */\n  verbose?: number;\n\n  /**\n   * Mode: one of 'min', 'max', and 'auto'.\n   * - In 'min' mode, training will be stopped when the quantity monitored has\n   *   stopped decreasing.\n   * - In 'max' mode, training will be stopped when the quantity monitored has\n   *   stopped increasing.\n   * - In 'auto' mode, the direction is inferred automatically from the name of\n   *   the monitored quantity.\n   *\n   * Defaults to 'auto'.\n   */\n  mode?: 'auto'|'min'|'max';\n\n  /**\n   * Baseline value of the monitored quantity.\n   *\n   * If specified, training will be stopped if the model doesn't show\n   * improvement over the baseline.\n   */\n  baseline?: number;\n\n  /**\n   * Whether to restore model weights from the epoch with the best value\n   * of the monitored quantity. If `False`, the model weights obtained at the\n   * at the last step of training are used.\n   *\n   * **`True` is not supported yet.**\n   */\n  restoreBestWeights?: boolean;\n}\n\nfunction less(currVal: number, prevVal: number) {\n  return currVal < prevVal;\n}\n\nfunction greater(currVal: number, prevVal: number) {\n  return currVal > prevVal;\n}\n\n/**\n * A Callback that stops training when a monitored quantity has stopped\n * improving.\n */\nexport class EarlyStopping extends Callback {\n  protected readonly monitor: string;\n  protected readonly minDelta: number;\n  protected readonly patience: number;\n  protected readonly baseline: number;\n  protected readonly verbose: number;\n  protected readonly mode: 'auto'|'min'|'max';\n\n  protected monitorFunc: (currVal: number, prevVal: number) => boolean;\n\n  private wait: number;\n  private stoppedEpoch: number;\n  private best: number;\n\n  constructor(args?: EarlyStoppingCallbackArgs) {\n    super();\n    if (args == null) {\n      args = {};\n    }\n    if (args.restoreBestWeights) {\n      throw new NotImplementedError(\n          'restoreBestWeights = True is not implemented in EarlyStopping yet.');\n    }\n\n    this.monitor = args.monitor || 'val_loss';\n    this.minDelta = Math.abs(args.minDelta || 0);\n    this.patience = args.patience || 0;\n    this.verbose = args.verbose || 0;\n    this.mode = args.mode || 'auto';\n    this.baseline = args.baseline;\n\n    if (['auto', 'min', 'max'].indexOf(this.mode) === -1) {\n      console.warn(\n          `EarlyStopping mode '${this.mode}' is invalid. ` +\n          `Falling back to mode 'auto'.`);\n      this.mode = 'auto';\n    }\n\n    if (this.mode === 'min') {\n      this.monitorFunc = less;\n    } else if (this.mode === 'max') {\n      this.monitorFunc = greater;\n    } else {\n      // For mode === 'auto'.\n      if (this.monitor.indexOf('acc') !== -1) {\n        this.monitorFunc = greater;\n      } else {\n        this.monitorFunc = less;\n      }\n    }\n\n    if (this.monitorFunc === less) {\n      this.minDelta *= -1;\n    }\n  }\n\n  async onTrainBegin(logs?: Logs) {\n    this.wait = 0;\n    this.stoppedEpoch = 0;\n    if (this.baseline != null) {\n      this.best = this.baseline;\n    } else {\n      this.best = this.monitorFunc === less ? Infinity : -Infinity;\n    }\n  }\n\n  async onEpochEnd(epoch: number, logs?: Logs) {\n    await resolveScalarsInLogs(logs);\n    const current = this.getMonitorValue(logs);\n    if (current == null) {\n      return;\n    }\n\n    if (this.monitorFunc(current - this.minDelta, this.best)) {\n      this.best = current;\n      this.wait = 0;\n      // TODO(cais): Logic for restoreBestWeights.\n    } else {\n      this.wait++;\n      if (this.wait >= this.patience) {\n        this.stoppedEpoch = epoch;\n        this.model.stopTraining = true;\n      }\n      // TODO(cais): Logic for restoreBestWeights.\n    }\n  }\n\n  async onTrainEnd(logs?: Logs) {\n    if (this.stoppedEpoch > 0 && this.verbose) {\n      console.log(`Epoch ${this.stoppedEpoch}: early stopping.`);\n    }\n  }\n\n  private getMonitorValue(logs: Logs) {\n    if (logs == null) {\n      logs = {};\n    }\n    const monitorValue = logs[this.monitor];\n    if (monitorValue == null) {\n      console.warn(\n          `Metric for EarlyStopping ${this.monitor} is not available. ` +\n          `Available metrics are: ${Object.keys(logs)}`);\n    }\n    return monitorValue;\n  }\n}\n\n/**\n * Factory function for a Callback that stops training when a monitored\n * quantity has stopped improving.\n *\n * Early stopping is a type of regularization, and protects model against\n * overfitting.\n *\n * The following example based on fake data illustrates how this callback\n * can be used during `tf.LayersModel.fit()`:\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.dense({\n *   units: 3,\n *   activation: 'softmax',\n *   kernelInitializer: 'ones',\n *   inputShape: [2]\n * }));\n * const xs = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const ys = tf.tensor2d([[1, 0, 0], [0, 1, 0]], [2, 3]);\n * const xsVal = tf.tensor2d([4, 3, 2, 1], [2, 2]);\n * const ysVal = tf.tensor2d([[0, 0, 1], [0, 1, 0]], [2, 3]);\n * model.compile(\n *     {loss: 'categoricalCrossentropy', optimizer: 'sgd', metrics: ['acc']});\n *\n * // Without the EarlyStopping callback, the val_acc value would be:\n * //   0.5, 0.5, 0.5, 0.5, ...\n * // With val_acc being monitored, training should stop after the 2nd epoch.\n * const history = await model.fit(xs, ys, {\n *   epochs: 10,\n *   validationData: [xsVal, ysVal],\n *   callbacks: tf.callbacks.earlyStopping({monitor: 'val_acc'})\n * });\n *\n * // Expect to see a length-2 array.\n * console.log(history.history.val_acc);\n * ```\n */\n/**\n * @doc {\n *   heading: 'Callbacks',\n *   namespace: 'callbacks'\n * }\n */\nexport function earlyStopping(args?: EarlyStoppingCallbackArgs) {\n  return new EarlyStopping(args);\n}\n\nexport const callbacks = {earlyStopping};\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport {backend} from '@tensorflow/tfjs-core';\nimport {DataFormat} from '../keras_format/common';\n\nlet _epsilon: number;\n\n/**\n * Returns the value of the fuzz factor used in numeric expressions.\n */\nexport function epsilon() {\n  if (_epsilon == null) {\n    _epsilon = backend().epsilon();\n  }\n  return _epsilon;\n}\n\n/**\n * Sets the value of the fuzz factor used in numeric expressions.\n * @param e New value of epsilon.\n */\nexport function setEpsilon(e: number) {\n  _epsilon = e;\n}\n\n/**\n * Returns the default image data format convention.\n */\nexport function imageDataFormat(): DataFormat {\n  return 'channelsLast';\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Explicit error types.\n *\n * See the following link for more information about why the code includes\n * calls to setPrototypeOf:\n *\n * https://github.com/Microsoft/TypeScript-wiki/blob/master/Breaking-Changes.md#extending-built-ins-like-error-array-and-map-may-no-longer-work\n */\n// tslint:enable\n\n/**\n * Equivalent of Python's AttributeError.\n */\nexport class AttributeError extends Error {\n  constructor(message?: string) {\n    super(message);\n    // Set the prototype explicitly.\n    Object.setPrototypeOf(this, AttributeError.prototype);\n  }\n}\n\n/**\n * Equivalent of Python's RuntimeError.\n */\nexport class RuntimeError extends Error {\n  constructor(message?: string) {\n    super(message);\n    // Set the prototype explicitly.\n    Object.setPrototypeOf(this, RuntimeError.prototype);\n  }\n}\n\n/**\n * Equivalent of Python's ValueError.\n */\nexport class ValueError extends Error {\n  constructor(message?: string) {\n    super(message);\n    // Set the prototype explicitly.\n    Object.setPrototypeOf(this, ValueError.prototype);\n  }\n}\n\n/**\n * Equivalent of Python's NotImplementedError.\n */\nexport class NotImplementedError extends Error {\n  constructor(message?: string) {\n    super(message);\n    // Set the prototype explicitly.\n    Object.setPrototypeOf(this, NotImplementedError.prototype);\n  }\n}\n\n/**\n * Equivalent of Python's AssertionError.\n */\nexport class AssertionError extends Error {\n  constructor(message?: string) {\n    super(message);\n    // Set the prototype explicitly.\n    Object.setPrototypeOf(this, AssertionError.prototype);\n  }\n}\n\n/**\n * Equivalent of Python's IndexError.\n */\nexport class IndexError extends Error {\n  constructor(message?: string) {\n    super(message);\n    // Set the prototype explicitly.\n    Object.setPrototypeOf(this, IndexError.prototype);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original source: utils/generic_utils.py */\n\nimport {DataType, serialization, util, fused} from '@tensorflow/tfjs-core';\n\nimport {AssertionError, ValueError} from '../errors';\n// tslint:enable\n\n/**\n * If `value` is an Array, equivalent to Python's `value * numValues`.\n * If `value` is not an Array, equivalent to Python's `[value] * numValues`\n */\n// tslint:disable-next-line:no-any\nexport function pyListRepeat(value: any, numValues: number): any[] {\n  if (Array.isArray(value)) {\n    // tslint:disable-next-line:no-any\n    let newArray: any[] = [];\n    for (let i = 0; i < numValues; i++) {\n      newArray = newArray.concat(value);\n    }\n    return newArray;\n  } else {\n    const newArray = new Array(numValues);\n    newArray.fill(value);\n    return newArray;\n  }\n}\n\nexport function assert(val: boolean, message?: string): void {\n  if (!val) {\n    throw new AssertionError(message);\n  }\n}\n\n/**\n * Count the number of elements of the `array` that are equal to `reference`.\n */\nexport function count<T>(array: T[], refernce: T) {\n  let counter = 0;\n  for (const item of array) {\n    if (item === refernce) {\n      counter++;\n    }\n  }\n  return counter;\n}\n\n/**\n * If an array is of length 1, just return the first element. Otherwise, return\n * the full array.\n * @param tensors\n */\nexport function singletonOrArray<T>(xs: T[]): T|T[] {\n  if (xs.length === 1) {\n    return xs[0];\n  }\n  return xs;\n}\n\n/**\n * Normalizes a list/tensor into a list.\n *\n * If a tensor is passed, we return\n * a list of size 1 containing the tensor.\n *\n * @param x target object to be normalized.\n */\n// tslint:disable-next-line:no-any\nexport function toList(x: any): any[] {\n  if (Array.isArray(x)) {\n    return x;\n  }\n  return [x];\n}\n\n/**\n * Generate a UID for a list\n */\n// tslint:disable-next-line:no-any\nexport function objectListUid(objs: any|any[]): string {\n  const objectList = toList(objs);\n  let retVal = '';\n  for (const obj of objectList) {\n    if (obj.id == null) {\n      throw new ValueError(\n          `Object ${obj} passed to objectListUid without an id`);\n    }\n    if (retVal !== '') {\n      retVal = retVal + ', ';\n    }\n    retVal = `${retVal}${Math.abs(obj.id)}`;\n  }\n  return retVal;\n}\n/**\n * Converts string to snake-case.\n * @param name\n */\nexport function toSnakeCase(name: string): string {\n  const intermediate = name.replace(/(.)([A-Z][a-z0-9]+)/g, '$1_$2');\n  const insecure =\n      intermediate.replace(/([a-z])([A-Z])/g, '$1_$2').toLowerCase();\n  /*\n   If the class is private the name starts with \"_\" which is not secure\n   for creating scopes. We prefix the name with \"private\" in this case.\n   */\n  if (insecure[0] !== '_') {\n    return insecure;\n  }\n  return 'private' + insecure;\n}\n\nexport function toCamelCase(identifier: string): string {\n  // quick return for empty string or single character strings\n  if (identifier.length <= 1) {\n    return identifier;\n  }\n  // Check for the underscore indicating snake_case\n  if (identifier.indexOf('_') === -1) {\n    return identifier;\n  }\n  return identifier.replace(/[_]+(\\w|$)/g, (m, p1) => p1.toUpperCase());\n}\n\n// tslint:disable-next-line:no-any\nlet _GLOBAL_CUSTOM_OBJECTS = {} as {[objName: string]: any};\n\nexport function serializeKerasObject(instance: serialization.Serializable):\n    serialization.ConfigDictValue {\n  if (instance === null || instance === undefined) {\n    return null;\n  }\n  const dict: serialization.ConfigDictValue = {};\n  dict['className'] = instance.getClassName();\n  dict['config'] = instance.getConfig();\n  return dict;\n}\n\n/**\n * Replace ndarray-style scalar objects in serialization objects with numbers.\n *\n * Background: In some versions of tf.keras, certain scalar values in the HDF5\n * model save file can be serialized as: `{'type': 'ndarray', 'value': num}`,\n * where in `num` is a plain number. This method converts such serialization\n * to a `number`.\n *\n * @param config The keras-format serialization object to be processed\n *   (in place).\n */\nfunction convertNDArrayScalarsInConfig(config: serialization.ConfigDictValue):\n    void {\n  if (config == null || typeof config !== 'object') {\n    return;\n  } else if (Array.isArray(config)) {\n    config.forEach(configItem => convertNDArrayScalarsInConfig(configItem));\n  } else {\n    const fields = Object.keys(config);\n    for (const field of fields) {\n      const value = config[field];\n      if (value != null && typeof value === 'object') {\n        if (!Array.isArray(value) && value['type'] === 'ndarray' &&\n            typeof value['value'] === 'number') {\n          config[field] = value['value'];\n        } else {\n          convertNDArrayScalarsInConfig(value as serialization.ConfigDict);\n        }\n      }\n    }\n  }\n}\n\n/**\n * Deserialize a saved Keras Object\n * @param identifier either a string ID or a saved Keras dictionary\n * @param moduleObjects a list of Python class names to object constructors\n * @param customObjects a list of Python class names to object constructors\n * @param printableModuleName debug text for the object being reconstituted\n * @param fastWeightInit Optional flag to use fast weight initialization\n *   during deserialization. This is applicable to cases in which\n *   the initialization will be immediately overwritten by loaded weight\n *   values. Default: `false`.\n * @returns a TensorFlow.js Layers object\n */\n// tslint:disable:no-any\nexport function deserializeKerasObject(\n    identifier: string|serialization.ConfigDict,\n    moduleObjects = {} as {[objName: string]: any},\n    customObjects = {} as {[objName: string]: any},\n    printableModuleName = 'object', fastWeightInit = false): any {\n  // tslint:enable\n  if (typeof identifier === 'string') {\n    const functionName = identifier;\n    let fn;\n    if (functionName in customObjects) {\n      fn = customObjects[functionName];\n    } else if (functionName in _GLOBAL_CUSTOM_OBJECTS) {\n      fn = _GLOBAL_CUSTOM_OBJECTS[functionName];\n    } else {\n      fn = moduleObjects[functionName];\n      if (fn == null) {\n        throw new ValueError(\n            `Unknown ${printableModuleName}: ${identifier}. ` +\n            `This may be due to one of the following reasons:\\n` +\n            `1. The ${printableModuleName} is defined in Python, in which ` +\n            `case it needs to be ported to TensorFlow.js or your JavaScript ` +\n            `code.\\n` +\n            `2. The custom ${printableModuleName} is defined in JavaScript, ` +\n            `but is not registered properly with ` +\n            `tf.serialization.registerClass().`);\n        // TODO(cais): Add link to tutorial page on custom layers.\n      }\n    }\n    return fn;\n  } else {\n    // In this case we are dealing with a Keras config dictionary.\n    const config = identifier;\n    if (config['className'] == null || config['config'] == null) {\n      throw new ValueError(\n          `${printableModuleName}: Improper config format: ` +\n          `${JSON.stringify(config)}.\\n` +\n          `'className' and 'config' must set.`);\n    }\n    const className = config['className'] as string;\n    let cls, fromConfig;\n    if (className in customObjects) {\n      [cls, fromConfig] = customObjects[className];\n    } else if (className in _GLOBAL_CUSTOM_OBJECTS) {\n      [cls, fromConfig] = _GLOBAL_CUSTOM_OBJECTS['className'];\n    } else if (className in moduleObjects) {\n      [cls, fromConfig] = moduleObjects[className];\n    }\n    if (cls == null) {\n      throw new ValueError(\n          `Unknown ${printableModuleName}: ${className}. ` +\n          `This may be due to one of the following reasons:\\n` +\n          `1. The ${printableModuleName} is defined in Python, in which ` +\n          `case it needs to be ported to TensorFlow.js or your JavaScript ` +\n          `code.\\n` +\n          `2. The custom ${printableModuleName} is defined in JavaScript, ` +\n          `but is not registered properly with ` +\n          `tf.serialization.registerClass().`);\n      // TODO(cais): Add link to tutorial page on custom layers.\n    }\n    if (fromConfig != null) {\n      // Porting notes: Instead of checking to see whether fromConfig accepts\n      // customObjects, we create a customObjects dictionary and tack it on to\n      // config['config'] as config['config'].customObjects. Objects can use it,\n      // if they want.\n\n      // tslint:disable-next-line:no-any\n      const customObjectsCombined = {} as {[objName: string]: any};\n      for (const key of Object.keys(_GLOBAL_CUSTOM_OBJECTS)) {\n        customObjectsCombined[key] = _GLOBAL_CUSTOM_OBJECTS[key];\n      }\n      for (const key of Object.keys(customObjects)) {\n        customObjectsCombined[key] = customObjects[key];\n      }\n      // Add the customObjects to config\n      const nestedConfig = config['config'] as serialization.ConfigDict;\n      nestedConfig['customObjects'] = customObjectsCombined;\n\n      const backupCustomObjects = {..._GLOBAL_CUSTOM_OBJECTS};\n      for (const key of Object.keys(customObjects)) {\n        _GLOBAL_CUSTOM_OBJECTS[key] = customObjects[key];\n      }\n      convertNDArrayScalarsInConfig(config['config']);\n      const returnObj =\n          fromConfig(cls, config['config'], customObjects, fastWeightInit);\n      _GLOBAL_CUSTOM_OBJECTS = {...backupCustomObjects};\n\n      return returnObj;\n    } else {\n      // Then `cls` may be a function returning a class.\n      // In this case by convention `config` holds\n      // the kwargs of the function.\n      const backupCustomObjects = {..._GLOBAL_CUSTOM_OBJECTS};\n      for (const key of Object.keys(customObjects)) {\n        _GLOBAL_CUSTOM_OBJECTS[key] = customObjects[key];\n      }\n      // In python this is **config['config'], for tfjs-layers we require\n      // classes that use this fall-through construction method to take\n      // a config interface that mimics the expansion of named parameters.\n      const returnObj = new cls(config['config']);\n      _GLOBAL_CUSTOM_OBJECTS = {...backupCustomObjects};\n      return returnObj;\n    }\n  }\n}\n\n/**\n * Compares two numbers for sorting.\n * @param a\n * @param b\n */\nexport function numberCompare(a: number, b: number) {\n  return (a < b) ? -1 : ((a > b) ? 1 : 0);\n}\n\n/**\n * Comparison of two numbers for reverse sorting.\n * @param a\n * @param b\n */\nexport function reverseNumberCompare(a: number, b: number) {\n  return -1 * numberCompare(a, b);\n}\n\n/**\n * Convert a string into the corresponding DType.\n * @param dtype\n * @returns An instance of DType.\n */\nexport function stringToDType(dtype: string): DataType {\n  switch (dtype) {\n    case 'float32':\n      return 'float32';\n    default:\n      throw new ValueError(`Invalid dtype: ${dtype}`);\n  }\n}\n\n/**\n * Test the element-by-element equality of two Arrays of strings.\n * @param xs First array of strings.\n * @param ys Second array of strings.\n * @returns Wether the two arrays are all equal, element by element.\n */\nexport function stringsEqual(xs: string[], ys: string[]): boolean {\n  if (xs == null || ys == null) {\n    return xs === ys;\n  }\n  if (xs.length !== ys.length) {\n    return false;\n  }\n  for (let i = 0; i < xs.length; ++i) {\n    if (xs[i] !== ys[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\n/**\n * Get the unique elements of an array.\n * @param xs Array.\n * @returns An Array consisting of the unique elements in `xs`.\n */\nexport function unique<T>(xs: T[]): T[] {\n  if (xs == null) {\n    return xs;\n  }\n  const out: T[] = [];\n  // TODO(cais): Maybe improve performance by sorting.\n  for (const x of xs) {\n    if (out.indexOf(x) === -1) {\n      out.push(x);\n    }\n  }\n  return out;\n}\n\n/**\n * Determine if an Object is empty (i.e., does not have own properties).\n * @param obj Object\n * @returns Whether the Object is empty.\n * @throws ValueError: If object is `null` or `undefined`.\n */\nexport function isObjectEmpty(obj: {}): boolean {\n  if (obj == null) {\n    throw new ValueError(`Invalid value in obj: ${JSON.stringify(obj)}`);\n  }\n  for (const key in obj) {\n    if (obj.hasOwnProperty(key)) {\n      return false;\n    }\n  }\n  return true;\n}\n\n/**\n * Helper function used to build type union/enum run-time checkers.\n * @param values The list of allowed values.\n * @param label A string name for the type\n * @param value The value to test.\n * @throws ValueError: If the value is not in values nor `undefined`/`null`.\n */\nexport function checkStringTypeUnionValue(\n    values: string[], label: string, value: string): void {\n  if (value == null) {\n    return;\n  }\n  if (values.indexOf(value) < 0) {\n    throw new ValueError(`${value} is not a valid ${label}.  Valid values are ${\n        values} or null/undefined.`);\n  }\n}\n\n/**\n * Helper function for verifying the types of inputs.\n *\n * Ensures that the elements of `x` are all of type `expectedType`.\n * Also verifies that the length of `x` is within bounds.\n *\n * @param x Object to test.\n * @param expectedType The string expected type of all of the elements in the\n * Array.\n * @param minLength Return false if x.length is less than this.\n * @param maxLength Return false if x.length is greater than this.\n * @returns true if and only if `x` is an `Array<expectedType>` with\n * length >= `minLength` and <= `maxLength`.\n */\n// tslint:disable:no-any\nexport function checkArrayTypeAndLength(\n    x: any, expectedType: string, minLength = 0,\n    maxLength = Infinity): boolean {\n  assert(minLength >= 0);\n  assert(maxLength >= minLength);\n  return (\n      Array.isArray(x) && x.length >= minLength && x.length <= maxLength &&\n      x.every(e => typeof e === expectedType));\n}\n// tslint:enable:no-any\n\n/**\n * Assert that a value or an array of value are positive integer.\n *\n * @param value The value being asserted on. May be a single number or an array\n *   of numbers.\n * @param name Name of the value, used to make the error message.\n */\nexport function assertPositiveInteger(value: number|number[], name: string) {\n  if (Array.isArray(value)) {\n    util.assert(\n        value.length > 0, () => `${name} is unexpectedly an empty array.`);\n    value.forEach(\n        (v, i) => assertPositiveInteger(v, `element ${i + 1} of ${name}`));\n  } else {\n    util.assert(\n        Number.isInteger(value) && value > 0,\n        () => `Expected ${name} to be a positive integer, but got ` +\n            `${formatAsFriendlyString(value)}.`);\n  }\n}\n\n/**\n * Format a value into a display-friendly, human-readable fashion.\n *\n * - `null` is formatted as `'null'`\n * - Strings are formated with flanking pair of quotes.\n * - Arrays are formatted with flanking pair of square brackets.\n *\n * @param value The value to display.\n * @return Formatted string.\n */\n// tslint:disable-next-line:no-any\nexport function formatAsFriendlyString(value: any): string {\n  if (value === null) {\n    return 'null';\n  } else if (Array.isArray(value)) {\n    return '[' + value.map(v => formatAsFriendlyString(v)).join(',') + ']';\n  } else if (typeof value === 'string') {\n    return `\"${value}\"`;\n  } else {\n    return `${value}`;\n  }\n}\n\n/**\n * Returns a function `f2` (decorator) which wraps the original function\n * `f`. `f2` guarantees that `f` can be called at most once\n * every `waitMs` ms. If `f2` is called more often, it will return\n * the last returned result of `f`.\n *\n * @param f The original function `f` to wrap.\n * @param waitMs The time between two consecutive calls to `f` in ms.\n */\nexport function debounce<T>(\n    f: (...args: Array<{}>) => T, waitMs: number): (...args: Array<{}>) => T {\n  let lastTime = util.now();\n  let lastResult: T;\n  const f2 = (...args: Array<{}>) => {\n    const now = util.now();\n    if (now - lastTime < waitMs) {\n      return lastResult;\n    }\n    lastTime = now;\n    lastResult = f(...args);\n    return lastResult;\n  };\n  return f2;\n}\n\n/**\n * Returns the fusable activation given a layers identifier.\n *\n * @param activationName The layers identifier string.\n * @return The name of the fusable activation.\n */\nexport function mapActivationToFusedKernel(activationName: string):\n  fused.Activation {\n  if (activationName === 'relu') {\n    return 'relu';\n  }\n  if (activationName === 'linear') {\n    return 'linear';\n  }\n  if(activationName === 'elu') {\n    return 'elu';\n  }\n  return null;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original source: keras/contraints.py */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {serialization, Tensor, tidy} from '@tensorflow/tfjs-core';\nimport {epsilon} from './backend/common';\nimport {deserializeKerasObject, serializeKerasObject} from './utils/generic_utils';\n\n/**\n * Helper function used by many of the Constraints to find the L2Norms.\n */\nfunction calcL2Norms(w: Tensor, axis: number): Tensor {\n  return tidy(() => tfc.sqrt(tfc.sum(tfc.mulStrict(w, w), axis, true)));\n}\n\n/**\n * Base class for functions that impose constraints on weight values\n */\n/**\n * @doc {\n *   heading: 'Constraints',\n *   subheading: 'Classes',\n *   namespace: 'constraints'\n * }\n */\nexport abstract class Constraint extends serialization.Serializable {\n  /* Porting note: was __call__, apply chosen to match other similar choices */\n  abstract apply(w: Tensor): Tensor;\n  getConfig(): serialization.ConfigDict {\n    return {};\n  }\n}\n\nexport interface MaxNormArgs {\n  /**\n   * Maximum norm for incoming weights\n   */\n  maxValue?: number;\n  /**\n   * Axis along which to calculate norms.\n   *\n   *  For instance, in a `Dense` layer the weight matrix\n   *  has shape `[inputDim, outputDim]`,\n   *  set `axis` to `0` to constrain each weight vector\n   *  of length `[inputDim,]`.\n   *  In a `Conv2D` layer with `dataFormat=\"channels_last\"`,\n   *  the weight tensor has shape\n   *  `[rows, cols, inputDepth, outputDepth]`,\n   *  set `axis` to `[0, 1, 2]`\n   *  to constrain the weights of each filter tensor of size\n   *  `[rows, cols, inputDepth]`.\n   */\n  axis?: number;\n}\n\nexport class MaxNorm extends Constraint {\n  /** @nocollapse */\n  static readonly className = 'MaxNorm';\n  private maxValue: number;\n  private axis: number;\n  private readonly defaultMaxValue = 2;\n  private readonly defaultAxis = 0;\n\n  constructor(args: MaxNormArgs) {\n    super();\n    this.maxValue =\n        args.maxValue != null ? args.maxValue : this.defaultMaxValue;\n    this.axis = args.axis != null ? args.axis : this.defaultAxis;\n  }\n\n  apply(w: Tensor): Tensor {\n    return tidy(() => {\n      const norms = calcL2Norms(w, this.axis);\n      const desired = tfc.clipByValue(norms, 0, this.maxValue);\n      return tfc.mul(w, tfc.div(desired, tfc.add(epsilon(), norms)));\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {maxValue: this.maxValue, axis: this.axis};\n  }\n}\nserialization.registerClass(MaxNorm);\n\nexport interface UnitNormArgs {\n  /**\n   * Axis along which to calculate norms.\n   *\n   * For instance, in a `Dense` layer the weight matrix\n   * has shape `[inputDim, outputDim]`,\n   * set `axis` to `0` to constrain each weight vector\n   * of length `[inputDim,]`.\n   * In a `Conv2D` layer with `dataFormat=\"channels_last\"`,\n   * the weight tensor has shape\n   * [rows, cols, inputDepth, outputDepth]`,\n   * set `axis` to `[0, 1, 2]`\n   * to constrain the weights of each filter tensor of size\n   * `[rows, cols, inputDepth]`.\n   */\n  axis?: number;\n}\n\nexport class UnitNorm extends Constraint {\n  /** @nocollapse */\n  static readonly className = 'UnitNorm';\n  private axis: number;\n  private readonly defaultAxis = 0;\n  constructor(args: UnitNormArgs) {\n    super();\n    this.axis = args.axis != null ? args.axis : this.defaultAxis;\n  }\n\n  apply(w: Tensor): Tensor {\n    return tidy(\n        () => tfc.div(w, tfc.add(epsilon(), calcL2Norms(w, this.axis))));\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {axis: this.axis};\n  }\n}\nserialization.registerClass(UnitNorm);\n\nexport class NonNeg extends Constraint {\n  /** @nocollapse */\n  static readonly className = 'NonNeg';\n\n  apply(w: Tensor): Tensor {\n    return tfc.relu(w);\n  }\n}\nserialization.registerClass(NonNeg);\n\nexport interface MinMaxNormArgs {\n  /**\n   * Minimum norm for incoming weights\n   */\n  minValue?: number;\n  /**\n   * Maximum norm for incoming weights\n   */\n  maxValue?: number;\n  /**\n   * Axis along which to calculate norms.\n   * For instance, in a `Dense` layer the weight matrix\n   * has shape `[inputDim, outputDim]`,\n   * set `axis` to `0` to constrain each weight vector\n   * of length `[inputDim,]`.\n   * In a `Conv2D` layer with `dataFormat=\"channels_last\"`,\n   * the weight tensor has shape\n   * `[rows, cols, inputDepth, outputDepth]`,\n   * set `axis` to `[0, 1, 2]`\n   * to constrain the weights of each filter tensor of size\n   * `[rows, cols, inputDepth]`.\n   */\n  axis?: number;\n  /**\n   * Rate for enforcing the constraint: weights will be rescaled to yield:\n   * `(1 - rate) * norm + rate * norm.clip(minValue, maxValue)`.\n   * Effectively, this means that rate=1.0 stands for strict\n   * enforcement of the constraint, while rate<1.0 means that\n   * weights will be rescaled at each step to slowly move\n   * towards a value inside the desired interval.\n   */\n  rate?: number;\n}\n\nexport class MinMaxNorm extends Constraint {\n  /** @nocollapse */\n  static readonly className = 'MinMaxNorm';\n  private minValue: number;\n  private maxValue: number;\n  private rate: number;\n  private axis: number;\n  private readonly defaultMinValue = 0.0;\n  private readonly defaultMaxValue = 1.0;\n  private readonly defaultRate = 1.0;\n  private readonly defaultAxis = 0;\n\n  constructor(args: MinMaxNormArgs) {\n    super();\n    this.minValue =\n        args.minValue != null ? args.minValue : this.defaultMinValue;\n    this.maxValue =\n        args.maxValue != null ? args.maxValue : this.defaultMaxValue;\n    this.rate = args.rate != null ? args.rate : this.defaultRate;\n    this.axis = args.axis != null ? args.axis : this.defaultAxis;\n  }\n\n  apply(w: Tensor): Tensor {\n    return tidy(() => {\n      const norms = calcL2Norms(w, this.axis);\n      const desired = tfc.add(\n          tfc.mul(\n              this.rate, tfc.clipByValue(norms, this.minValue, this.maxValue)),\n          tfc.mul(1.0 - this.rate, norms));\n      return tfc.mul(w, tfc.div(desired, tfc.add(epsilon(), norms)));\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {\n      minValue: this.minValue,\n      maxValue: this.maxValue,\n      rate: this.rate,\n      axis: this.axis\n    };\n  }\n}\nserialization.registerClass(MinMaxNorm);\n\n/** @docinline */\nexport type ConstraintIdentifier =\n    'maxNorm'|'minMaxNorm'|'nonNeg'|'unitNorm'|string;\n\n// Maps the JavaScript-like identifier keys to the corresponding registry\n// symbols.\nexport const CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP:\n    {[identifier in ConstraintIdentifier]: string} = {\n      'maxNorm': 'MaxNorm',\n      'minMaxNorm': 'MinMaxNorm',\n      'nonNeg': 'NonNeg',\n      'unitNorm': 'UnitNorm'\n    };\n\nexport function serializeConstraint(constraint: Constraint):\n    serialization.ConfigDictValue {\n  return serializeKerasObject(constraint);\n}\n\nexport function deserializeConstraint(\n    config: serialization.ConfigDict,\n    customObjects: serialization.ConfigDict = {}): Constraint {\n  return deserializeKerasObject(\n      config, serialization.SerializationMap.getMap().classNameMap,\n      customObjects, 'constraint');\n}\n\nexport function getConstraint(identifier: ConstraintIdentifier|\n                              serialization.ConfigDict|Constraint): Constraint {\n  if (identifier == null) {\n    return null;\n  }\n  if (typeof identifier === 'string') {\n    const className = identifier in CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP ?\n        CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP[identifier] :\n        identifier;\n    const config = {className, config: {}};\n    return deserializeConstraint(config);\n  } else if (identifier instanceof Constraint) {\n    return identifier;\n  } else {\n    return deserializeConstraint(identifier);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n// tslint:disable-next-line:max-line-length\nimport {Constraint, MaxNorm, MaxNormArgs, MinMaxNorm, MinMaxNormArgs, NonNeg, UnitNorm, UnitNormArgs} from './constraints';\n\n/**\n * MaxNorm weight constraint.\n *\n * Constrains the weights incident to each hidden unit\n * to have a norm less than or equal to a desired value.\n *\n * References\n *       - [Dropout: A Simple Way to Prevent Neural Networks from Overfitting\n * Srivastava, Hinton, et al.\n * 2014](http://www.cs.toronto.edu/~rsalakhu/papers/srivastava14a.pdf)\n */\n/** @doc {heading: 'Constraints',namespace: 'constraints'} */\nexport function maxNorm(args: MaxNormArgs): Constraint {\n  return new MaxNorm(args);\n}\n\n/**\n * Constrains the weights incident to each hidden unit to have unit norm.\n */\n/** @doc {heading: 'Constraints', namespace: 'constraints'} */\nexport function unitNorm(args: UnitNormArgs): Constraint {\n  return new UnitNorm(args);\n}\n\n/**\n * Constains the weight to be non-negative.\n */\n/** @doc {heading: 'Constraints', namespace: 'constraints'} */\nexport function nonNeg(): Constraint {\n  return new NonNeg();\n}\n\n/** @doc {heading: 'Constraints', namespace: 'constraints'} */\nexport function minMaxNorm(config: MinMaxNormArgs): Constraint {\n  return new MinMaxNorm(config);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n// TODO(huan): add layer-specific input shape types (see: https://github.com/tensorflow/tfjs-layers/pull/492)\n/** @docalias (null | number)[] */\nexport type Shape = Array<null | number>;\n\n// The tfjs-core version of DataType must stay synced with this.\nexport type DataType = 'float32'|'int32'|'bool'|'complex64'|'string';\n\n// TODO(soergel): Move the CamelCase versions back out of keras_format\n// e.g. to src/common.ts.  Maybe even duplicate *all* of these to be pedantic?\n/** @docinline */\nexport type DataFormat = 'channelsFirst'|'channelsLast';\nexport const VALID_DATA_FORMAT_VALUES = ['channelsFirst', 'channelsLast'];\n\n// These constants have a snake vs. camel distinction.\nexport type DataFormatSerialization = 'channels_first'|'channels_last';\n\n/** @docinline */\nexport type PaddingMode = 'valid'|'same'|'causal';\nexport const VALID_PADDING_MODE_VALUES = ['valid', 'same', 'causal'];\n\n/** @docinline */\nexport type PoolMode = 'max'|'avg';\nexport const VALID_POOL_MODE_VALUES = ['max', 'avg'];\n\n/** @docinline */\nexport type BidirectionalMergeMode = 'sum'|'mul'|'concat'|'ave';\nexport const VALID_BIDIRECTIONAL_MERGE_MODES = ['sum', 'mul', 'concat', 'ave'];\n\n/** @docinline */\nexport type SampleWeightMode = 'temporal';\nexport const VALID_SAMPLE_WEIGHT_MODES = ['temporal'];\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Common functions for TensorFlow.js Layers.\n */\nimport {VALID_DATA_FORMAT_VALUES, VALID_PADDING_MODE_VALUES, VALID_POOL_MODE_VALUES} from './keras_format/common';\nimport {checkStringTypeUnionValue} from './utils/generic_utils';\n\n// A map from the requested scoped name of a Tensor to the number of Tensors\n// wanting that name so far.  This allows enforcing name uniqueness by appending\n// an incrementing index, e.g. scope/name, scope/name_1, scope/name_2, etc.\nconst nameMap: Map<string, number> = new Map<string, number>();\n\nexport function checkDataFormat(value?: string): void {\n  checkStringTypeUnionValue(VALID_DATA_FORMAT_VALUES, 'DataFormat', value);\n}\n\nexport function checkPaddingMode(value?: string): void {\n  checkStringTypeUnionValue(VALID_PADDING_MODE_VALUES, 'PaddingMode', value);\n}\n\nexport function checkPoolMode(value?: string): void {\n  checkStringTypeUnionValue(VALID_POOL_MODE_VALUES, 'PoolMode', value);\n}\n\nconst _nameScopeStack: string[] = [];\nconst _nameScopeDivider = '/';\n\n/**\n * Enter namescope, which can be nested.\n */\nexport function nameScope<T>(name: string, fn: () => T): T {\n  _nameScopeStack.push(name);\n  try {\n    const val: T = fn();\n    _nameScopeStack.pop();\n    return val;\n  } catch (e) {\n    _nameScopeStack.pop();\n    throw e;\n  }\n}\n\n/**\n * Get the current namescope as a flat, concatenated string.\n */\nfunction currentNameScopePrefix(): string {\n  if (_nameScopeStack.length === 0) {\n    return '';\n  } else {\n    return _nameScopeStack.join(_nameScopeDivider) + _nameScopeDivider;\n  }\n}\n\n/**\n * Get the name a Tensor (or Variable) would have if not uniqueified.\n * @param tensorName\n * @return Scoped name string.\n */\nexport function getScopedTensorName(tensorName: string): string {\n  if (!isValidTensorName(tensorName)) {\n    throw new Error('Not a valid tensor name: \\'' + tensorName + '\\'');\n  }\n  return currentNameScopePrefix() + tensorName;\n}\n\n/**\n * Get unique names for Tensors and Variables.\n * @param scopedName The fully-qualified name of the Tensor, i.e. as produced by\n *  `getScopedTensorName()`.\n * @return A unique version of the given fully scoped name.\n *   If this is the first time that the scoped name is seen in this session,\n *   then the given `scopedName` is returned unaltered.  If the same name is\n *   seen again (producing a collision), an incrementing suffix is added to the\n *   end of the name, so it takes the form 'scope/name_1', 'scope/name_2', etc.\n */\nexport function getUniqueTensorName(scopedName: string): string {\n  if (!isValidTensorName(scopedName)) {\n    throw new Error('Not a valid tensor name: \\'' + scopedName + '\\'');\n  }\n  if (!nameMap.has(scopedName)) {\n    nameMap.set(scopedName, 0);\n  }\n  const index = nameMap.get(scopedName);\n  nameMap.set(scopedName, nameMap.get(scopedName) + 1);\n\n  if (index > 0) {\n    const result = `${scopedName}_${index}`;\n    // Mark the composed name as used in case someone wants\n    // to call getUniqueTensorName(\"name_1\").\n    nameMap.set(result, 1);\n    return result;\n  } else {\n    return scopedName;\n  }\n}\n\nconst tensorNameRegex = new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\\._\\/]*$/);\n\n/**\n * Determine whether a string is a valid tensor name.\n * @param name\n * @returns A Boolean indicating whether `name` is a valid tensor name.\n */\nexport function isValidTensorName(name: string): boolean {\n  return !!name.match(tensorNameRegex);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Math utility functions.\n *\n * This file contains some frequently used math function that operates on\n * number[] or Float32Array and return a number. Many of these functions are\n * not-so-thick wrappers around TF.js Core functions. But they offer the\n * convenience of\n * 1) not having to convert the inputs into Tensors,\n * 2) not having to convert the returned Tensors to numbers.\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar, Tensor1D, tensor1d} from '@tensorflow/tfjs-core';\nimport {ValueError} from '../errors';\n\nexport type ArrayTypes = Uint8Array | Int32Array | Float32Array;\n\n/**\n * Determine if a number is an integer.\n */\nexport function isInteger(x: number): boolean {\n  return x === parseInt(x.toString(), 10);\n}\n\n/**\n * Calculate the product of an array of numbers.\n * @param array The array to calculate the product over.\n * @param begin Beginning index, inclusive.\n * @param end Ending index, exclusive.\n * @return The product.\n */\nexport function arrayProd(\n  array: number[] | ArrayTypes, begin?: number, end?: number): number {\n  if (begin == null) {\n    begin = 0;\n  }\n  if (end == null) {\n    end = array.length;\n  }\n\n  let prod = 1;\n  for (let i = begin; i < end; ++i) {\n    prod *= array[i];\n  }\n  return prod;\n}\n\n/**\n * A helper function transforms the two input types to an instance of Tensor1D,\n * so the return value can be fed directly into various TF.js Core functions.\n * @param array\n */\nfunction toArray1D(array: number[] | Float32Array): Tensor1D {\n  array = Array.isArray(array) ? new Float32Array(array) : array;\n  return tensor1d(array);\n}\n\n/**\n * Compute minimum value.\n * @param array\n * @return minimum value.\n */\nexport function min(array: number[] | Float32Array): number {\n  return tfc.min(toArray1D(array)).dataSync()[0];\n}\n\n/**\n * Compute maximum value.\n * @param array\n * @return maximum value\n */\nexport function max(array: number[] | Float32Array): number {\n  return tfc.max(toArray1D(array)).dataSync()[0];\n}\n\n/**\n * Compute sum of array.\n * @param array\n * @return The sum.\n */\nexport function sum(array: number[] | Float32Array): number {\n  return tfc.sum(toArray1D(array)).dataSync()[0];\n}\n\n/**\n * Compute mean of array.\n * @param array\n * @return The mean.\n */\nexport function mean(array: number[] | Float32Array): number {\n  return sum(array) / array.length;\n}\n\n/**\n * Compute variance of array.\n * @param array\n * @return The variance.\n */\nexport function variance(array: number[] | Float32Array): number {\n  const demeaned = tfc.sub(toArray1D(array), scalar(mean(array)));\n  const sumSquare = tfc.sum(tfc.mulStrict(demeaned, demeaned)).dataSync()[0];\n  return sumSquare / array.length;\n}\n\n/**\n * Compute median of array.\n * @param array\n * @return The median value.\n */\nexport function median(array: number[] | Float32Array): number {\n  const arraySorted = array.slice().sort((a, b) => a - b);\n  const lowIdx = Math.floor((arraySorted.length - 1) / 2);\n  const highIdx = Math.ceil((arraySorted.length - 1) / 2);\n  if (lowIdx === highIdx) {\n    return arraySorted[lowIdx];\n  }\n  return (arraySorted[lowIdx] + arraySorted[highIdx]) / 2;\n}\n\n/**\n * Generate an array of integers in [begin, end).\n * @param begin Beginning integer, inclusive.\n * @param end Ending integer, exclusive.\n * @returns Range array.\n * @throws ValueError, iff `end` < `begin`.\n */\nexport function range(begin: number, end: number): number[] {\n  if (end < begin) {\n    throw new ValueError(`end (${end}) < begin (${begin}) is forbidden.`);\n  }\n  const out: number[] = [];\n  for (let i = begin; i < end; ++i) {\n    out.push(i);\n  }\n  return out;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * deeplearn.js backend.\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {onesLike as coreOnesLike, scalar, Tensor, Tensor1D, tensor1d, Tensor2D, Tensor3D, Tensor4D, Tensor5D, tidy, where, zerosLike as coreZerosLike} from '@tensorflow/tfjs-core';\nimport {checkDataFormat} from '../common';\nimport {NotImplementedError, ValueError} from '../errors';\nimport {DataFormat, Shape} from '../keras_format/common';\nimport {HasShape} from '../types';\nimport * as math_utils from '../utils/math_utils';\n\nimport {imageDataFormat} from './common';\n\n// tslint:enable\n\n/* Setting and getting backend from deeplearn.js. */\n\n// Default deeplearn.js backend is WebGL (GPU).\nlet backend: 'cpu'|'webgl' = 'webgl';\n\nexport function setBackend(requestedBackend: 'cpu'|'webgl') {\n  tfc.setBackend(requestedBackend);\n  backend = requestedBackend;\n}\n\nexport function getBackend(): 'cpu'|'webgl' {\n  return backend;\n}\n\n/**\n * Indicates whether the backend is operating symbolically.\n *\n * This function will be used to determine how to interpret user code. If\n * it returns true, calls to the backend construct a symbolic graph; if\n * it returns false, calls to the backend execute immediately.\n */\nexport function isBackendSymbolic(): boolean {\n  return false;\n}\n\n/**\n * Get the number of elements in a Tensor.\n * @param x The Tensor.\n * @return Number of elements in `x`.\n */\nexport function countParams(x: HasShape): number {\n  const shape = x.shape;\n  if (shape.length > 0) {\n    return shape.reduce((a: number, b: number) => a * b);\n  } else {\n    // Scalar.\n    return 1;\n  }\n}\n\n/**\n * Casts a tensor to a different dtype and returns it.\n * @param x Input tensor.\n * @param dtype String: 'float32'|'int32'|'bool'.\n * @returns Tensor of the specified `dtype`.\n */\nexport function cast(x: Tensor, dtype: tfc.DataType): Tensor {\n  return x.asType(dtype);\n}\n\n/**\n * Adds a 1-sized dimension at index \"axis\".\n * @param x Input tensor.\n * @param axis Position where to add the new axis.\n * @returns Result of the dimension expansion.\n */\nexport function expandDims(x: Tensor, axis = -1): Tensor {\n  const outShape = x.shape.slice();\n  if (axis < 0) {\n    axis = outShape.length + axis + 1;\n  }\n  outShape.splice(axis, 0, 1);\n  return x.reshape(outShape);\n}\n\n/**\n * Repeats a 2D tensor.\n *\n * If `x` has shape `[samples, dim]` and `n` is 2, for example, the output\n * will have shape `[samples, 2, dim]`.\n *\n * @param x Input tensor.\n * @param n Integer, number of times to repeat.\n * @returns The result of the repeat operation.\n * @throws ValueError: If input tensor is not 2D.\n */\nexport function repeat(x: Tensor, n: number): Tensor {\n  return tidy(() => {\n    if (x.shape.length !== 2) {\n      throw new ValueError(\n          `repeat() expects a rank-2 tensor, but received a ` +\n          `rank-${x.shape.length} tensor.`);\n    }\n    const y = expandDims(x, 1);\n    return tile(y, [1, n, 1]);\n  });\n}\n\n/**\n * Flatten an Tensor into 1D.\n * @param x Input tensor.\n * @return The result of the flattening `x`.\n */\nexport function flatten(x: Tensor): Tensor {\n  const newShape = [math_utils.arrayProd(x.shape)];\n  return x.reshape(newShape);\n}\n\n/**\n * Turn a nD tensor into a 2D tensor with same 0th dimension.\n * In other words, it flattens each data samples of a batch.\n *\n * @param x The tensor to flatten. The rank of this tensor is required to be 2\n *   or higher.\n * @return The result of the flattening.\n */\nexport function batchFlatten(x: Tensor): Tensor {\n  if (x.rank <= 1) {\n    throw new ValueError(\n        `batchFlatten requires a minimum rank of 2. Got rank: ${x.rank}.`);\n  }\n  const newShape = [x.shape[0], math_utils.arrayProd(x.shape, 1)];\n  return x.reshape(newShape);\n}\n\n/**\n * Do slicing along the first axis.\n * @param array input `tf.Tensor`.\n * @param start starting index, inclusive.\n * @param size size of the slice along the first axis.\n * @returns result of the slicing.\n * @throws ValueError: If `array` is of an unsupported subtype of `tf.Tensor`.\n */\nexport function sliceAlongFirstAxis(\n    array: Tensor, start: number, size: number): Tensor {\n  return tidy(() => {\n    switch (array.rank) {\n      case 1:\n        return tfc.slice1d(array as Tensor1D, start, size);\n      case 2:\n        return tfc.slice2d(\n            array as Tensor2D, [start, 0], [size, array.shape[1]]);\n      case 3:\n        return tfc.slice3d(\n            array as Tensor3D, [start, 0, 0],\n            [size, array.shape[1], array.shape[2]]);\n      case 4:\n        return tfc.slice4d(\n            array as Tensor4D, [start, 0, 0, 0],\n            [size, array.shape[1], array.shape[2], array.shape[3]]);\n      case 5:\n        return tfc.slice(array as Tensor5D, [start, 0, 0, 0, 0], [\n          size, array.shape[1], array.shape[2], array.shape[3], array.shape[4]\n        ]);\n      case 6:\n        return tfc.slice(array, [start, 0, 0, 0, 0, 0], [\n          size, array.shape[1], array.shape[2], array.shape[3], array.shape[4],\n          array.shape[5]\n        ]);\n      default:\n        throw new ValueError(\n            `sliceAlongFirstAxis() received an unsupported tensor rank: ` +\n            `${array.rank}`);\n    }\n  });\n}\n\n/**\n * Do slicing along the last axis.\n * @param array input `tf.Tensor`.\n * @param start starting index, inclusive.\n * @param size size of the slice along the last axis.\n * @returns result of the slicing.\n * @throws ValueError: If `array` is of an unsupported subtype of `tf.Tensor`.\n */\nexport function sliceAlongLastAxis(\n    array: Tensor, start: number, size: number): Tensor {\n  return tidy(() => {\n    switch (array.rank) {\n      case 1:\n        return tfc.slice1d(array as Tensor1D, start, size);\n      case 2:\n        return tfc.slice2d(\n            array as Tensor2D, [0, start], [array.shape[0], size]);\n      case 3:\n        return tfc.slice3d(\n            array as Tensor3D, [0, 0, start],\n            [array.shape[0], array.shape[1], size]);\n      case 4:\n        return tfc.slice4d(\n            array as Tensor4D, [0, 0, 0, start],\n            [array.shape[0], array.shape[1], array.shape[2], size]);\n      default:\n        throw new ValueError(\n            `sliceAlongLastAxis() received an unsupported tensor rank: ` +\n            `${array.rank}`);\n    }\n  });\n}\n\n/**\n * Do slicing along the sepcified axis.\n * @param array input `tf.Tensor`.\n * @param start starting index, inclusive.\n * @param size of the slice along the chosen axis.\n * @param choose an axis.\n * @returns result of the slicing.\n * @throws ValueError: If `array` is of an unsupported subtype of `tf.Tensor`.\n */\nexport function sliceAlongAxis(\n    array: Tensor, start: number, size: number, axis: number): Tensor {\n  return tidy(() => {\n    switch (array.rank) {\n      case 1:\n        return tfc.slice1d(array as Tensor1D, start, size);\n      case 2:\n        switch (axis) {\n          case 1:\n            return sliceAlongFirstAxis(array, start, size);\n          case 2:\n            return sliceAlongLastAxis(array, start, size);\n          default:\n            throw new ValueError(\n                `The axis is not within the rank of the tensor ` +\n                `${axis}`);\n        }\n      case 3:\n        switch (axis) {\n          case 1:\n            return sliceAlongFirstAxis(array, start, size);\n          case 2:\n            return tfc.slice3d(\n                array as Tensor3D, [0, start, 0],\n                [array.shape[0], size, array.shape[2]]);\n          case 3:\n            return sliceAlongLastAxis(array, start, size);\n          default:\n            throw new ValueError(\n                `The axis is not within the rank of the tensor ` +\n                `${axis}`);\n        }\n      case 4:\n        switch (axis) {\n          case 1:\n            return sliceAlongFirstAxis(array, start, size);\n          case 2:\n            return tfc.slice4d(\n                array as Tensor4D, [0, start, 0, 0],\n                [array.shape[0], size, array.shape[2], array.shape[3]]);\n          case 3:\n            return tfc.slice4d(\n                array as Tensor4D, [0, 0, start, 0],\n                [array.shape[0], array.shape[1], size, array.shape[3]]);\n          case 4:\n            return sliceAlongLastAxis(array, start, size);\n          default:\n            throw new ValueError(\n                `The axis is not within the rank of the tensor ` +\n                `${axis}`);\n        }\n      default:\n        throw new ValueError(\n            `sliceAlongLastAxis() received an unsupported tensor rank: ` +\n            `${array.rank}`);\n    }\n  });\n}\n\n/**\n * Concatenates a list of tensors alongside the specified axis.\n * @param tensors `Array` of tensors to concatenate.\n * @param axis Concatenation axis.\n * @returns The result of the concatenation.\n */\nexport function concatenate(tensors: Tensor[], axis = -1): Tensor {\n  let rank: number;\n  if (axis < 0) {\n    rank = tensors[0].rank;\n    if (rank !== 0) {\n      axis = rank;\n    } else {\n      axis = 0;\n    }\n  }\n  if (axis === tensors[0].rank) {\n    // Porting Note: This is necessary because tfc.concat() requires axis to be\n    //   in the interval [-rank, rank).\n    axis = -1;\n  }\n  // Porting Note: Sparse concat is not supported yet.\n  return tfc.concat(tensors, axis);\n}\n\n/**\n * Concatenate two arrays along the first dimension.\n * @param a The 1st `tf.Tensor` to concatenate.\n * @param b The 2nd `tf.Tensor` to concatenate.\n * @returns Result of the concatenation.\n * @throws ValueError: If `a` is of an unsupported subtype of `tf.Tensor`.\n */\nexport function concatAlongFirstAxis(a: Tensor, b: Tensor): Tensor {\n  switch (a.rank) {\n    case 1:\n      return tfc.concat1d([a as Tensor1D, b as Tensor1D]);\n    case 2:\n      return tfc.concat2d([a as Tensor2D, b as Tensor2D], 0);\n    case 3:\n      return tfc.concat3d([a as Tensor3D, b as Tensor3D], 0);\n    case 4:\n      return tfc.concat4d([a as Tensor4D, b as Tensor4D], 0);\n    default:\n      throw new ValueError(\n          `concatAlongFirstAxis() received an unsupported ` +\n          `tensor rank: ${a.rank}`);\n  }\n}\n\n/**\n * Creates a tensor by tiling `x` by `n`.\n * @param x A tensor.\n * @param n An Array of integers or a single integer. If an Array, the length\n *   must be the same as the number of dimensions in `x`. If a single integer,\n *   it will be treated as an Array of length 1.\n */\nexport function tile(x: Tensor, n: number|number[]): Tensor {\n  if (!Array.isArray(n)) {\n    n = [n];\n  }\n  if (x.rank !== n.length) {\n    throw new ValueError(\n        `The length of input n (${n.length}) does not match ` +\n        `the number of dimensions in input x (${x.rank})`);\n  }\n  return tfc.tile(x, n);\n}\n\n/* Creation of random tensors. */\n\n/**\n * Get a tensor with normal distribution of values.\n *\n * @param shape Shape of the tensor.\n * @param mean mean value of the normal distribution.\n * @param stddev standard deviation of the normal distribution.\n * @param dtype\n * @param seed\n * @return The normal tensor.\n */\nexport function randomNormal(\n    shape: Shape, mean = 0.0, stddev = 1.0, dtype?: 'float32'|'int32',\n    seed?: number): Tensor {\n  return tfc.randomNormal(shape, mean, stddev, dtype, seed);\n}\n\n/* Linear Algebra */\n\n/**\n * Multiply two tensors and returns the result as a tensor.\n *\n * For 2D tensors, this is equivalent to matrix multiplication (matMul).\n * For tensors of higher ranks, it follows the Theano behavior,\n * (e.g. `(2, 3) * (4, 3, 5) -> (2, 4, 5)`).  From the Theano documentation:\n *\n * For N dimensions it is a sum product over the last axis of x and the\n * second-to-last of y:\n *\n * @param a A tensor of at least rank 2.\n * @param b A tensor of at least rank 2.\n * @param activation (optional) A string identifying the activation\n *   function.\n * @return Result of the dot operation.\n */\nexport function dot(\n    a: Tensor, b: Tensor, activation?: tfc.fused.Activation,\n    bias?: Tensor): Tensor {\n  if ((a.rank < 2) || (b.rank < 2)) {\n    throw new NotImplementedError(\n        `dot requires both inputs to be rank >= 2` +\n        ` but got x shape = ${a.shape} and y shape = ${b.shape}`);\n  }\n  if (b.rank >= 3) {\n    const xLastDim = a.shape.slice(-1)[0];\n    const ySecondLastDim = b.shape.slice(-2)[0];\n    if (xLastDim !== ySecondLastDim) {\n      throw new NotImplementedError(\n          `If rank y >= 3, then the second last dim` +\n          ` of y must equal the last dim of x but got x shape = ${\n              a.shape} and ` +\n          ` y shape = ${b.shape}`);\n    }\n  }\n  // Handle basic 2D x 2D case.\n  if ((a.rank === 2) && (b.rank === 2)) {\n    const transposeA = false;\n    const transposeB = false;\n    // tfc.fused.matMul only fuses certain activation functions. Unsupported\n    // activation functions are treated as 'linear' activations, which is\n    // equivalent to a no-op.\n    return tfc.fused.matMul({\n      a,\n      b: b as Tensor2D,\n      transposeA,\n      transposeB,\n      bias: bias ? reshapeBias(a.rank, bias, imageDataFormat()) : null,\n      activation\n    });\n  } else {\n    // Reshape x into the analogous 2D Tensor.\n    const aFirstDims = a.shape.slice();  // Holds all but the last dim of x.\n    const aLastDim = aFirstDims.pop();\n    a = a.reshape([-1, aLastDim]);\n\n    // Reshape y into the analogous 2D Tensor, and keep track of the\n    // required dimensions to reproduce the output shape.\n    const bShape = b.shape.slice();\n    const bLastDim = bShape.pop();\n    const ySecondLastDim = bShape.pop();\n    const yOtherDims = [...bShape, bLastDim];\n    // permutation should be like [r-2, 0, 1, 2, ... r-4, r-3, r-1]\n    // where r is the rank of y.\n    const perm = Array.from({length: b.rank}, (_, i) => {\n      if (i === 0) {\n        return b.rank - 2;\n      } else if (i <= b.rank - 2) {\n        return i - 1;\n      }\n      return i;\n    });\n    b = b.transpose(perm).reshape([ySecondLastDim, -1]);\n\n    // Multiply x and y as 2D Tensors, and then reshape back to original.\n    const outputShape = [...aFirstDims, ...yOtherDims];\n    const transposeA = false;\n    const transposeB = false;\n    return tfc.fused\n        .matMul({\n          a,\n          b,\n          transposeA,\n          transposeB,\n          bias: bias ? reshapeBias(a.rank, bias, imageDataFormat()) : null,\n          activation\n        })\n        .reshape(outputShape);\n  }\n}\n\n/**\n * Compute the sign Tensor of an input Tensor.\n *\n * Elements of the input `tf.Tensor` that are === 0 are mapped to 0.\n * Elements of the input `tf.Tensor` that are > 0 are mapped to 1.\n * Elements of the input `tf.Tensor` that are < 0 are mapped to -1.\n *\n * @param x Input `tf.Tensor`.\n * @return The sign `tf.Tensor`.\n */\nexport function sign(x: Tensor): Tensor {\n  // TODO(cais): Move to the core.\n  return tidy(() => {\n    const zerosLikeX = coreZerosLike(x);\n    const onesLikeX = coreOnesLike(x);\n    return where(\n        tfc.equal(x, zerosLikeX), zerosLikeX,\n        where(\n            tfc.greater(x, coreZerosLike(x)), onesLikeX,\n            tfc.mul(-1, onesLikeX)));\n  });\n}\n\n/**\n * Computes the one-hot representation of an integer tensor.\n * @param indices nD integer tensor of shape\n *   `(batch_size, dim1, dim2, ... dim(n-1))`\n * @param numClasses Integer, number of classes to consider.\n * @returns (n + 1)D one hot representation of the input\n *   with shape `(batch_size, dim1, dim2, ... dim(n-1), num_classes)`\n */\nexport function oneHot(indices: Tensor, numClasses: number): Tensor {\n  return tidy(() => {\n    if (indices.rank !== 1) {\n      throw new Error(\n          'Only 1D one-hot tensors are supported in the ' +\n          'deeplearn backend, at present.');\n    }\n    indices = indices.toInt();\n    return tfc.oneHot(indices as Tensor1D, numClasses).toFloat();\n  });\n}\n\n/* Elementary math functions. */\n\n/**\n * Retrieves the elements of indices `indices` in the tensor `reference`.\n * @param reference A tensor.\n * @param indices An integer tensor of indices or an `Array` of integers.\n * @param axis Axis along which to perform the gather operation.\n * @returns The result of the gathering as a tensor.\n */\nexport function gather(\n    reference: Tensor, indices: number[]|Tensor1D, axis?: number): Tensor {\n  return tidy(() => {\n    if (Array.isArray(indices)) {\n      indices = tensor1d(indices, 'int32');\n    } else {\n      indices = indices.toInt();\n    }\n    return tfc.gather(reference, indices, axis);\n  });\n}\n\n/**\n * Element-wise square.\n * @param x Input tensor.\n * @return element-wise x^2\n */\nexport function square(x: Tensor): Tensor {\n  return tfc.mulStrict(x, x);\n}\n\n/**\n * Element-wise exponentiation.\n *\n * Porting Note: In PyKeras, `a` (the exponent) is a Python integer, which\n *   takes advatnage of the backend's (e.g., TensorFlow's) automatic\n * conversion to tensor. Here we allow `a` to be either a number or a tensor.\n *\n * @param x The base tensor.\n * @param a The exponent, tensor or number. If a number, it is rounded to the\n *   nearest integer and converted to a tensor.\n * @returns A tensor of the same shape as `x`.\n */\nexport function pow(x: Tensor, a: Tensor|number): Tensor {\n  return tidy(() => {\n    if (typeof (a) === 'number') {\n      a = scalar(Math.round(a), 'int32');\n    }\n    if (a.dtype !== 'int32') {\n      throw new NotImplementedError(\n          `Non-int32 dtype (${a.dtype}) is not supported by pow() yet`);\n    }\n    return tfc.pow(x, a);\n  });\n}\n\n/**\n * Reshapes bias tensor according to rank of x.\n */\nfunction reshapeBias(xRank: number, bias: Tensor, dataFormat: string) {\n  const biasShape = bias.shape;\n\n  if (bias.rank !== 1 && bias.rank !== xRank) {\n    throw new ValueError(\n        `Unexpected bias dimensions: ${bias.rank}` +\n        `; expected it to be 1 or ${xRank}`);\n  }\n\n  if (xRank === 5) {\n    if (dataFormat === 'channelsFirst') {\n      if (biasShape.length === 1) {\n        return bias.reshape([1, biasShape[0], 1, 1, 1]);\n      } else {\n        return bias.reshape(\n            [1, biasShape[3], biasShape[0], biasShape[1], biasShape[2]]);\n      }\n    } else if (dataFormat === 'channelsLast') {\n      if (biasShape.length === 1) {\n        return bias.reshape([1, 1, 1, 1, biasShape[0]]);\n      } else {\n        return bias.reshape([1].concat(biasShape));\n      }\n    }\n  } else if (xRank === 4) {\n    if (dataFormat === 'channelsFirst') {\n      if (biasShape.length === 1) {\n        return bias.reshape([1, biasShape[0], 1, 1]);\n      } else {\n        return bias.reshape([1, biasShape[2], biasShape[0], biasShape[1]]);\n      }\n    } else if (dataFormat === 'channelsLast') {\n      if (biasShape.length === 1) {\n        return bias.reshape([1, 1, 1, biasShape[0]]);\n      } else {\n        return bias.reshape([1].concat(biasShape));\n      }\n    }\n  } else if (xRank === 3) {\n    if (dataFormat === 'channelsFirst') {\n      if (biasShape.length === 1) {\n        return bias.reshape([1, biasShape[0], 1]);\n      } else {\n        return bias.reshape([1, biasShape[1], biasShape[0]]);\n      }\n    } else if (dataFormat === 'channelsLast') {\n      if (biasShape.length === 1) {\n        return bias.reshape([1, 1, biasShape[0]]);\n      } else {\n        return bias.reshape([1].concat(biasShape));\n      }\n    }\n  } else if (xRank < 3) {\n    return bias;\n  }\n  throw new ValueError(`Unsupported input rank by biasAdd: ${bias.rank}`);\n}\n\n/* Neural-network operations. */\n\n/**\n * Add a bias to a tensor.\n *\n * @param x The tensor to add the bias to.\n * @param bias The bias to add to `x`. Must be 1D or the same rank as `x`.\n * @return Result of the bias adding.\n * @throws ValueError: If the rank of `bias` is incorrect.\n */\nexport function biasAdd(\n    x: Tensor, bias: Tensor, dataFormat?: DataFormat): Tensor {\n  return tidy(() => {\n    if (dataFormat == null) {\n      dataFormat = imageDataFormat();\n    }\n    checkDataFormat(dataFormat);\n\n    return x.add(reshapeBias(x.rank, bias, dataFormat));\n  });\n}\n\n/**\n * Exponential linear unit (ELU).\n * @param x A tensor or variable to compute the activation function for.\n * @param alpha: A scalar, a scaling factor for the negative section.\n * @return Output of the ELU operation.\n */\nexport function elu(x: Tensor, alpha = 1): Tensor {\n  // TODO(cais): Add support for alpha values other than 1.\n  if (alpha !== 1) {\n    throw new NotImplementedError(\n        `Support for alpha values other than 1 (${alpha}) is not implemented ` +\n        `yet.`);\n  }\n  return tfc.elu(x);\n}\n\n/**\n * Softsign of a tensor.\n *\n * Defined as x / (abs(x) + 1), element-wise.\n *\n * @param x: Input.\n * @returns Output.\n */\nexport function softsign(x: Tensor): Tensor {\n  return tidy(() => tfc.div(x, tfc.abs(x).add(1)));\n}\n\n/**\n * Sets entries in `x` to zero at random, while scaling the entire tensor.\n *\n * @param x input tensor.\n * @param level fraction of the entries in the tensor that will be set to 0.\n * @param noiseShape shape of randomly generated keep/drop flags, must be\n *   broadcastable to the shape of `x`. Optional.\n * @param seed random seed to ensure determinism. Optional.\n * @returns Result of the dropout operation.\n */\nexport function dropout(\n    x: Tensor, level: number, noiseShape?: number[], seed?: number): Tensor {\n  return tidy(() => tfc.dropout(x, level, noiseShape, seed));\n}\n\n/**\n * Element-wise, segment-wise linear approximation of sigmoid.\n *\n * Returns `0.` if `x < -2.5`, `1.` if `x > 2.5`.\n * In `-2.5 <= x <= 2.5`, returns `0.2 * x + 0.5`.\n *\n * @param x Input tensor.\n * @returns Output tensor.\n */\nexport function hardSigmoid(x: Tensor): Tensor {\n  return tidy(() => {\n    const y = tfc.add(.5, tfc.mul(.2, x));\n    return tfc.clipByValue(y, 0, 1);\n  });\n}\n\n/**\n * Invoke `x` in the training phase, and `alt` otherwise.\n *\n * Porting Note: We do not create placeholder tensors for the `training`\n * boolean flag here, because there is no such thing in the TF.js imperative\n * backend.\n *\n * @param x The function to invoke iff `training` is `true`.\n * @param alt The function to invoke iff `training` is `false`.\n * @param training Boolean flag for whether training phase is active.\n * @returns The return value of `x()` if `training` is `true`, or the return\n *   value of `alt()` if `training` is `false`.\n */\nexport function inTrainPhase<T>(x: () => T, alt: () => T, training = false): T {\n  return training ? x() : alt();\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport {BaseSerialization} from './types';\n\n// TODO(soergel): Move the CamelCase versions back out of keras_format\n// e.g. to src/common.ts.  Maybe even duplicate *all* of these to be pedantic?\n/** @docinline */\nexport type FanMode = 'fanIn'|'fanOut'|'fanAvg';\nexport const VALID_FAN_MODE_VALUES = ['fanIn', 'fanOut', 'fanAvg'];\n\n// These constants have a snake vs. camel distinction.\nexport type FanModeSerialization = 'fan_in'|'fan_out'|'fan_avg';\n\n/** @docinline */\nexport type Distribution = 'normal'|'uniform'|'truncatedNormal';\nexport const VALID_DISTRIBUTION_VALUES =\n    ['normal', 'uniform', 'truncatedNormal'];\n// These constants have a snake vs. camel distinction.\nexport type DistributionSerialization = 'normal'|'uniform'|'truncated_normal';\n\nexport type ZerosSerialization = BaseSerialization<'Zeros', {}>;\n\nexport type OnesSerialization = BaseSerialization<'Ones', {}>;\n\nexport type ConstantConfig = {\n  value: number;\n};\n\nexport type ConstantSerialization =\n    BaseSerialization<'Constant', ConstantConfig>;\n\nexport type RandomNormalConfig = {\n  mean?: number;\n  stddev?: number;\n  seed?: number;\n};\n\nexport type RandomNormalSerialization =\n    BaseSerialization<'RandomNormal', RandomNormalConfig>;\n\nexport type RandomUniformConfig = {\n  minval?: number;\n  maxval?: number;\n  seed?: number;\n};\n\nexport type RandomUniformSerialization =\n    BaseSerialization<'RandomUniform', RandomUniformConfig>;\n\nexport type TruncatedNormalConfig = {\n  mean?: number;\n  stddev?: number;\n  seed?: number;\n};\n\nexport type TruncatedNormalSerialization =\n    BaseSerialization<'TruncatedNormal', TruncatedNormalConfig>;\n\nexport type VarianceScalingConfig = {\n  scale?: number;\n\n  mode?: FanModeSerialization;\n  distribution?: DistributionSerialization;\n  seed?: number;\n};\n\nexport type VarianceScalingSerialization =\n    BaseSerialization<'VarianceScaling', VarianceScalingConfig>;\n\nexport type OrthogonalConfig = {\n  seed?: number;\n  gain?: number;\n};\n\nexport type OrthogonalSerialization =\n    BaseSerialization<'Orthogonal', OrthogonalConfig>;\n\nexport type IdentityConfig = {\n  gain?: number;\n};\n\nexport type IdentitySerialization =\n    BaseSerialization<'Identity', IdentityConfig>;\n\n// Update initializerClassNames below in concert with this.\nexport type InitializerSerialization = ZerosSerialization|OnesSerialization|\n    ConstantSerialization|RandomUniformSerialization|RandomNormalSerialization|\n    TruncatedNormalSerialization|IdentitySerialization|\n    VarianceScalingSerialization|OrthogonalSerialization;\n\nexport type InitializerClassName = InitializerSerialization['class_name'];\n\n// We can't easily extract a string[] from the string union type, but we can\n// recapitulate the list, enforcing at compile time that the values are valid\n// and that we have the right number of them.\n\n/**\n * A string array of valid Initializer class names.\n *\n * This is guaranteed to match the `InitializerClassName` union type.\n */\nexport const initializerClassNames: InitializerClassName[] = [\n  'Zeros', 'Ones', 'Constant', 'RandomNormal', 'RandomUniform',\n  'TruncatedNormal', 'VarianceScaling', 'Orthogonal', 'Identity'\n];\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport {DataType, eye, linalg, mul, ones, randomUniform, scalar, serialization, Tensor, Tensor2D, tidy, truncatedNormal, zeros} from '@tensorflow/tfjs-core';\n\nimport * as K from './backend/tfjs_backend';\nimport {checkDataFormat} from './common';\nimport {NotImplementedError, ValueError} from './errors';\nimport {DataFormat, Shape} from './keras_format/common';\nimport {Distribution, FanMode, VALID_DISTRIBUTION_VALUES, VALID_FAN_MODE_VALUES} from './keras_format/initializer_config';\nimport {checkStringTypeUnionValue, deserializeKerasObject, serializeKerasObject} from './utils/generic_utils';\nimport {arrayProd} from './utils/math_utils';\n\nexport function checkFanMode(value?: string): void {\n  checkStringTypeUnionValue(VALID_FAN_MODE_VALUES, 'FanMode', value);\n}\n\nexport function checkDistribution(value?: string): void {\n  checkStringTypeUnionValue(VALID_DISTRIBUTION_VALUES, 'Distribution', value);\n}\n\n/**\n * Initializer base class.\n *\n * @doc {\n *   heading: 'Initializers', subheading: 'Classes', namespace: 'initializers'}\n */\nexport abstract class Initializer extends serialization.Serializable {\n  public fromConfigUsesCustomObjects(): boolean {\n    return false;\n  }\n  /**\n   * Generate an initial value.\n   * @param shape\n   * @param dtype\n   * @return The init value.\n   */\n  abstract apply(shape: Shape, dtype?: DataType): Tensor;\n\n  getConfig(): serialization.ConfigDict {\n    return {};\n  }\n}\n\nexport class Zeros extends Initializer {\n  /** @nocollapse */\n  static className = 'Zeros';\n\n  apply(shape: Shape, dtype?: DataType): Tensor {\n    return zeros(shape, dtype);\n  }\n}\nserialization.registerClass(Zeros);\n\nexport class Ones extends Initializer {\n  /** @nocollapse */\n  static className = 'Ones';\n\n  apply(shape: Shape, dtype?: DataType): Tensor {\n    return ones(shape, dtype);\n  }\n}\nserialization.registerClass(Ones);\n\nexport interface ConstantArgs {\n  /** The value for each element in the variable. */\n  value: number;\n}\n\nexport class Constant extends Initializer {\n  /** @nocollapse */\n  static className = 'Constant';\n  private value: number;\n  constructor(args: ConstantArgs) {\n    super();\n    if (typeof args !== 'object') {\n      throw new ValueError(\n          `Expected argument of type ConstantConfig but got ${args}`);\n    }\n    if (args.value === undefined) {\n      throw new ValueError(`config must have value set but got ${args}`);\n    }\n    this.value = args.value;\n  }\n\n  apply(shape: Shape, dtype?: DataType): Tensor {\n    return tidy(() => mul(scalar(this.value), ones(shape, dtype)));\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {\n      value: this.value,\n    };\n  }\n}\nserialization.registerClass(Constant);\n\nexport interface RandomUniformArgs {\n  /** Lower bound of the range of random values to generate. */\n  minval?: number;\n  /** Upper bound of the range of random values to generate. */\n  maxval?: number;\n  /** Used to seed the random generator. */\n  seed?: number;\n}\n\nexport class RandomUniform extends Initializer {\n  /** @nocollapse */\n  static className = 'RandomUniform';\n  readonly DEFAULT_MINVAL = -0.05;\n  readonly DEFAULT_MAXVAL = 0.05;\n  private minval: number;\n  private maxval: number;\n  private seed: number;\n\n  constructor(args: RandomUniformArgs) {\n    super();\n    this.minval = args.minval || this.DEFAULT_MINVAL;\n    this.maxval = args.maxval || this.DEFAULT_MAXVAL;\n    this.seed = args.seed;\n  }\n\n  apply(shape: Shape, dtype?: DataType): Tensor {\n    return randomUniform(shape, this.minval, this.maxval, dtype);\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {minval: this.minval, maxval: this.maxval, seed: this.seed};\n  }\n}\nserialization.registerClass(RandomUniform);\n\nexport interface RandomNormalArgs {\n  /** Mean of the random values to generate. */\n  mean?: number;\n  /** Standard deviation of the random values to generate. */\n  stddev?: number;\n  /** Used to seed the random generator. */\n  seed?: number;\n}\n\nexport class RandomNormal extends Initializer {\n  /** @nocollapse */\n  static className = 'RandomNormal';\n  readonly DEFAULT_MEAN = 0.;\n  readonly DEFAULT_STDDEV = 0.05;\n  private mean: number;\n  private stddev: number;\n  private seed: number;\n\n  constructor(args: RandomNormalArgs) {\n    super();\n    this.mean = args.mean || this.DEFAULT_MEAN;\n    this.stddev = args.stddev || this.DEFAULT_STDDEV;\n    this.seed = args.seed;\n  }\n\n  apply(shape: Shape, dtype?: DataType): Tensor {\n    dtype = dtype || 'float32';\n    if (dtype !== 'float32' && dtype !== 'int32') {\n      throw new NotImplementedError(\n          `randomNormal does not support dType ${dtype}.`);\n    }\n\n    return K.randomNormal(shape, this.mean, this.stddev, dtype, this.seed);\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {mean: this.mean, stddev: this.stddev, seed: this.seed};\n  }\n}\nserialization.registerClass(RandomNormal);\n\nexport interface TruncatedNormalArgs {\n  /** Mean of the random values to generate. */\n  mean?: number;\n  /** Standard deviation of the random values to generate. */\n  stddev?: number;\n  /** Used to seed the random generator. */\n  seed?: number;\n}\n\nexport class TruncatedNormal extends Initializer {\n  /** @nocollapse */\n  static className = 'TruncatedNormal';\n\n  readonly DEFAULT_MEAN = 0.;\n  readonly DEFAULT_STDDEV = 0.05;\n  private mean: number;\n  private stddev: number;\n  private seed: number;\n\n  constructor(args: TruncatedNormalArgs) {\n    super();\n    this.mean = args.mean || this.DEFAULT_MEAN;\n    this.stddev = args.stddev || this.DEFAULT_STDDEV;\n    this.seed = args.seed;\n  }\n\n  apply(shape: Shape, dtype?: DataType): Tensor {\n    dtype = dtype || 'float32';\n    if (dtype !== 'float32' && dtype !== 'int32') {\n      throw new NotImplementedError(\n          `truncatedNormal does not support dType ${dtype}.`);\n    }\n    return truncatedNormal(shape, this.mean, this.stddev, dtype, this.seed);\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {mean: this.mean, stddev: this.stddev, seed: this.seed};\n  }\n}\nserialization.registerClass(TruncatedNormal);\n\nexport interface IdentityArgs {\n  /**\n   * Multiplicative factor to apply to the identity matrix.\n   */\n  gain?: number;\n}\n\nexport class Identity extends Initializer {\n  /** @nocollapse */\n  static className = 'Identity';\n  private gain: number;\n  constructor(args: IdentityArgs) {\n    super();\n    this.gain = args.gain != null ? args.gain : 1.0;\n  }\n\n  apply(shape: Shape, dtype?: DataType): Tensor {\n    return tidy(() => {\n      if (shape.length !== 2 || shape[0] !== shape[1]) {\n        throw new ValueError(\n            'Identity matrix initializer can only be used for' +\n            ' 2D square matrices.');\n      } else {\n        return mul(this.gain, eye(shape[0]));\n      }\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {gain: this.gain};\n  }\n}\nserialization.registerClass(Identity);\n\n/**\n * Computes the number of input and output units for a weight shape.\n * @param shape Shape of weight.\n * @param dataFormat data format to use for convolution kernels.\n *   Note that all kernels in Keras are standardized on the\n *   CHANNEL_LAST ordering (even when inputs are set to CHANNEL_FIRST).\n * @return An length-2 array: fanIn, fanOut.\n */\nfunction computeFans(\n    shape: Shape, dataFormat: DataFormat = 'channelsLast'): number[] {\n  let fanIn: number;\n  let fanOut: number;\n  checkDataFormat(dataFormat);\n  if (shape.length === 2) {\n    fanIn = shape[0];\n    fanOut = shape[1];\n  } else if ([3, 4, 5].indexOf(shape.length) !== -1) {\n    if (dataFormat === 'channelsFirst') {\n      const receptiveFieldSize = arrayProd(shape, 2);\n      fanIn = shape[1] * receptiveFieldSize;\n      fanOut = shape[0] * receptiveFieldSize;\n    } else if (dataFormat === 'channelsLast') {\n      const receptiveFieldSize = arrayProd(shape, 0, shape.length - 2);\n      fanIn = shape[shape.length - 2] * receptiveFieldSize;\n      fanOut = shape[shape.length - 1] * receptiveFieldSize;\n    }\n  } else {\n    const shapeProd = arrayProd(shape);\n    fanIn = Math.sqrt(shapeProd);\n    fanOut = Math.sqrt(shapeProd);\n  }\n\n  return [fanIn, fanOut];\n}\n\nexport interface VarianceScalingArgs {\n  /** Scaling factor (positive float). */\n  scale?: number;\n\n  /** Fanning mode for inputs and outputs. */\n  mode?: FanMode;\n\n  /** Probabilistic distribution of the values. */\n  distribution?: Distribution;\n\n  /** Random number generator seed. */\n  seed?: number;\n}\n\nexport class VarianceScaling extends Initializer {\n  /** @nocollapse */\n  static className = 'VarianceScaling';\n  private scale: number;\n  private mode: FanMode;\n  private distribution: Distribution;\n  private seed: number;\n\n  /**\n   * Constructor of VarianceScaling.\n   * @throws ValueError for invalid value in scale.\n   */\n  constructor(args: VarianceScalingArgs) {\n    super();\n    if (args.scale < 0.0) {\n      throw new ValueError(\n          `scale must be a positive float. Got: ${args.scale}`);\n    }\n    this.scale = args.scale == null ? 1.0 : args.scale;\n    this.mode = args.mode == null ? 'fanIn' : args.mode;\n    checkFanMode(this.mode);\n    this.distribution =\n        args.distribution == null ? 'normal' : args.distribution;\n    checkDistribution(this.distribution);\n    this.seed = args.seed;\n  }\n\n  apply(shape: Shape, dtype?: DataType): Tensor {\n    const fans = computeFans(shape);\n    const fanIn = fans[0];\n    const fanOut = fans[1];\n    let scale = this.scale;\n    if (this.mode === 'fanIn') {\n      scale /= Math.max(1, fanIn);\n    } else if (this.mode === 'fanOut') {\n      scale /= Math.max(1, fanOut);\n    } else {\n      scale /= Math.max(1, (fanIn + fanOut) / 2);\n    }\n\n    if (this.distribution === 'normal') {\n      const stddev = Math.sqrt(scale);\n      dtype = dtype || 'float32';\n      if (dtype !== 'float32' && dtype !== 'int32') {\n        throw new NotImplementedError(\n            `${this.getClassName()} does not support dType ${dtype}.`);\n      }\n      return truncatedNormal(shape, 0, stddev, dtype, this.seed);\n    } else {\n      const limit = Math.sqrt(3 * scale);\n      return randomUniform(shape, -limit, limit, dtype);\n    }\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {\n      scale: this.scale,\n      mode: this.mode,\n      distribution: this.distribution,\n      seed: this.seed\n    };\n  }\n}\nserialization.registerClass(VarianceScaling);\n\nexport interface SeedOnlyInitializerArgs {\n  /** Random number generator seed. */\n  seed?: number;\n}\n\nexport class GlorotUniform extends VarianceScaling {\n  /** @nocollapse */\n  static className = 'GlorotUniform';\n\n  /**\n   * Constructor of GlorotUniform\n   * @param scale\n   * @param mode\n   * @param distribution\n   * @param seed\n   */\n  constructor(args?: SeedOnlyInitializerArgs) {\n    super({\n      scale: 1.0,\n      mode: 'fanAvg',\n      distribution: 'uniform',\n      seed: args == null ? null : args.seed\n    });\n  }\n\n  getClassName(): string {\n    // In Python Keras, GlorotUniform is not a class, but a helper method\n    // that creates a VarianceScaling object. Use 'VarianceScaling' as\n    // class name to be compatible with that.\n    return VarianceScaling.className;\n  }\n}\nserialization.registerClass(GlorotUniform);\n\nexport class GlorotNormal extends VarianceScaling {\n  /** @nocollapse */\n  static className = 'GlorotNormal';\n\n  /**\n   * Constructor of GlorotNormal.\n   * @param scale\n   * @param mode\n   * @param distribution\n   * @param seed\n   */\n  constructor(args?: SeedOnlyInitializerArgs) {\n    super({\n      scale: 1.0,\n      mode: 'fanAvg',\n      distribution: 'normal',\n      seed: args == null ? null : args.seed\n    });\n  }\n\n  getClassName(): string {\n    // In Python Keras, GlorotNormal is not a class, but a helper method\n    // that creates a VarianceScaling object. Use 'VarianceScaling' as\n    // class name to be compatible with that.\n    return VarianceScaling.className;\n  }\n}\nserialization.registerClass(GlorotNormal);\n\nexport class HeNormal extends VarianceScaling {\n  /** @nocollapse */\n  static className = 'HeNormal';\n\n  constructor(args?: SeedOnlyInitializerArgs) {\n    super({\n      scale: 2.0,\n      mode: 'fanIn',\n      distribution: 'normal',\n      seed: args == null ? null : args.seed\n    });\n  }\n\n  getClassName(): string {\n    // In Python Keras, HeNormal is not a class, but a helper method\n    // that creates a VarianceScaling object. Use 'VarianceScaling' as\n    // class name to be compatible with that.\n    return VarianceScaling.className;\n  }\n}\nserialization.registerClass(HeNormal);\n\nexport class HeUniform extends VarianceScaling {\n  /** @nocollapse */\n  static className = 'HeUniform';\n\n  constructor(args?: SeedOnlyInitializerArgs) {\n    super({\n      scale: 2.0,\n      mode: 'fanIn',\n      distribution: 'uniform',\n      seed: args == null ? null : args.seed\n    });\n  }\n\n  getClassName(): string {\n    // In Python Keras, HeUniform is not a class, but a helper method\n    // that creates a VarianceScaling object. Use 'VarianceScaling' as\n    // class name to be compatible with that.\n    return VarianceScaling.className;\n  }\n}\nserialization.registerClass(HeUniform);\n\nexport class LeCunNormal extends VarianceScaling {\n  /** @nocollapse */\n  static className = 'LeCunNormal';\n\n  constructor(args?: SeedOnlyInitializerArgs) {\n    super({\n      scale: 1.0,\n      mode: 'fanIn',\n      distribution: 'normal',\n      seed: args == null ? null : args.seed\n    });\n  }\n\n  getClassName(): string {\n    // In Python Keras, LeCunNormal is not a class, but a helper method\n    // that creates a VarianceScaling object. Use 'VarianceScaling' as\n    // class name to be compatible with that.\n    return VarianceScaling.className;\n  }\n}\nserialization.registerClass(LeCunNormal);\n\nexport class LeCunUniform extends VarianceScaling {\n  /** @nocollapse */\n  static className = 'LeCunNormal';\n\n  constructor(args?: SeedOnlyInitializerArgs) {\n    super({\n      scale: 1.0,\n      mode: 'fanIn',\n      distribution: 'uniform',\n      seed: args == null ? null : args.seed\n    });\n  }\n\n  getClassName(): string {\n    // In Python Keras, LeCunUniform is not a class, but a helper method\n    // that creates a VarianceScaling object. Use 'VarianceScaling' as\n    // class name to be compatible with that.\n    return VarianceScaling.className;\n  }\n}\nserialization.registerClass(LeCunUniform);\n\nexport interface OrthogonalArgs extends SeedOnlyInitializerArgs {\n  /**\n   * Multiplicative factor to apply to the orthogonal matrix. Defaults to 1.\n   */\n  gain?: number;\n}\n\nexport class Orthogonal extends Initializer {\n  /** @nocollapse */\n  static className = 'Orthogonal';\n  readonly DEFAULT_GAIN = 1;\n  protected readonly gain: number;\n  protected readonly seed: number;\n\n  constructor(args?: OrthogonalArgs) {\n    super();\n    this.gain = args.gain == null ? this.DEFAULT_GAIN : args.gain;\n    this.seed = args.seed;\n\n    if (this.seed != null) {\n      throw new NotImplementedError(\n          'Random seed is not implemented for Orthogonal Initializer yet.');\n    }\n  }\n\n  apply(shape: Shape, dtype?: DataType): Tensor {\n    return tidy(() => {\n      if (shape.length !== 2) {\n        throw new NotImplementedError(\n            'The Orthogonal Initializer does not support non-2D shapes yet.');\n      }\n      if (shape[0] * shape[1] > 2000) {\n        console.warn(\n            `Orthogonal initializer is being called on a matrix with more ` +\n            `than 2000 (${shape[0] * shape[1]}) elements: ` +\n            `Slowness may result.`);\n      }\n\n      // TODO(cais): Add seed support.\n      const normalizedShape =\n          shape[0] > shape[1] ? [shape[1], shape[0]] : shape;\n      const a = K.randomNormal(normalizedShape, 0, 1, 'float32') as Tensor2D;\n      let q = linalg.gramSchmidt(a) as Tensor2D;\n      if (shape[0] > shape[1]) {\n        q = q.transpose();\n      }\n      return mul(this.gain, q);\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {\n      gain: this.gain,\n      seed: this.seed,\n    };\n  }\n}\nserialization.registerClass(Orthogonal);\n\n/** @docinline */\nexport type InitializerIdentifier =\n    'constant'|'glorotNormal'|'glorotUniform'|'heNormal'|'heUniform'|'identity'|\n    'leCunNormal'|'leCunUniform'|'ones'|'orthogonal'|'randomNormal'|\n    'randomUniform'|'truncatedNormal'|'varianceScaling'|'zeros'|string;\n\n// Maps the JavaScript-like identifier keys to the corresponding registry\n// symbols.\nexport const INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP:\n    {[identifier in InitializerIdentifier]: string} = {\n      'constant': 'Constant',\n      'glorotNormal': 'GlorotNormal',\n      'glorotUniform': 'GlorotUniform',\n      'heNormal': 'HeNormal',\n      'heUniform': 'HeUniform',\n      'identity': 'Identity',\n      'leCunNormal': 'LeCunNormal',\n      'leCunUniform': 'LeCunUniform',\n      'ones': 'Ones',\n      'orthogonal': 'Orthogonal',\n      'randomNormal': 'RandomNormal',\n      'randomUniform': 'RandomUniform',\n      'truncatedNormal': 'TruncatedNormal',\n      'varianceScaling': 'VarianceScaling',\n      'zeros': 'Zeros'\n    };\n\nfunction deserializeInitializer(\n    config: serialization.ConfigDict,\n    customObjects: serialization.ConfigDict = {}): Initializer {\n  return deserializeKerasObject(\n      config, serialization.SerializationMap.getMap().classNameMap,\n      customObjects, 'initializer');\n}\n\nexport function serializeInitializer(initializer: Initializer):\n    serialization.ConfigDictValue {\n  return serializeKerasObject(initializer);\n}\n\nexport function getInitializer(identifier: InitializerIdentifier|Initializer|\n                               serialization.ConfigDict): Initializer {\n  if (typeof identifier === 'string') {\n    const className = identifier in INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP ?\n        INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[identifier] :\n        identifier;\n    /* We have four 'helper' classes for common initializers that\n    all get serialized as 'VarianceScaling' and shouldn't go through\n    the deserializeInitializer pathway. */\n    if (className === 'GlorotNormal') {\n      return new GlorotNormal();\n    } else if (className === 'GlorotUniform') {\n      return new GlorotUniform();\n    } else if (className === 'HeNormal') {\n      return new HeNormal();\n    } else if (className === 'HeUniform') {\n      return new HeUniform();\n    } else if (className === 'LeCunNormal') {\n      return new LeCunNormal();\n    } else if (className === 'LeCunUniform') {\n      return new LeCunUniform();\n    } else {\n      const config: serialization.ConfigDict = {};\n      config['className'] = className;\n      config['config'] = {};\n      return deserializeInitializer(config);\n    }\n  } else if (identifier instanceof Initializer) {\n    return identifier;\n  } else {\n    return deserializeInitializer(identifier);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n// tslint:disable-next-line:max-line-length\nimport {Constant, ConstantArgs, GlorotNormal, GlorotUniform, HeNormal, HeUniform, Identity, IdentityArgs, Initializer, LeCunNormal, LeCunUniform, Ones, Orthogonal, OrthogonalArgs, RandomNormal, RandomNormalArgs, RandomUniform, RandomUniformArgs, SeedOnlyInitializerArgs, TruncatedNormal, TruncatedNormalArgs, VarianceScaling, VarianceScalingArgs, Zeros} from './initializers';\n\n/**\n * Initializer that generates tensors initialized to 0.\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function zeros(): Zeros {\n  return new Zeros();\n}\n\n/**\n * Initializer that generates tensors initialized to 1.\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function ones(): Initializer {\n  return new Ones();\n}\n\n/**\n * Initializer that generates values initialized to some constant.\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function constant(args: ConstantArgs): Initializer {\n  return new Constant(args);\n}\n\n/**\n * Initializer that generates random values initialized to a uniform\n * distribution.\n *\n * Values will be distributed uniformly between the configured minval and\n * maxval.\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function randomUniform(args: RandomUniformArgs): Initializer {\n  return new RandomUniform(args);\n}\n\n/**\n * Initializer that generates random values initialized to a normal\n * distribution.\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function randomNormal(args: RandomNormalArgs): Initializer {\n  return new RandomNormal(args);\n}\n\n/**\n * Initializer that generates random values initialized to a truncated normal.\n * distribution.\n *\n * These values are similar to values from a `RandomNormal` except that values\n * more than two standard deviations from the mean are discarded and re-drawn.\n * This is the recommended initializer for neural network weights and filters.\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function truncatedNormal(args: TruncatedNormalArgs): Initializer {\n  return new TruncatedNormal(args);\n}\n\n/**\n * Initializer that generates the identity matrix.\n * Only use for square 2D matrices.\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function identity(args: IdentityArgs): Initializer {\n  return new Identity(args);\n}\n\n/**\n * Initializer capable of adapting its scale to the shape of weights.\n * With distribution=NORMAL, samples are drawn from a truncated normal\n * distribution centered on zero, with `stddev = sqrt(scale / n)` where n is:\n *   - number of input units in the weight tensor, if mode = FAN_IN.\n *   - number of output units, if mode = FAN_OUT.\n *   - average of the numbers of input and output units, if mode = FAN_AVG.\n * With distribution=UNIFORM,\n * samples are drawn from a uniform distribution\n * within [-limit, limit], with `limit = sqrt(3 * scale / n)`.\n */\n/** @doc {heading: 'Initializers',namespace: 'initializers'} */\nexport function varianceScaling(config: VarianceScalingArgs): Initializer {\n  return new VarianceScaling(config);\n}\n\n/**\n * Glorot uniform initializer, also called Xavier uniform initializer.\n * It draws samples from a uniform distribution within [-limit, limit]\n * where `limit` is `sqrt(6 / (fan_in + fan_out))`\n * where `fan_in` is the number of input units in the weight tensor\n * and `fan_out` is the number of output units in the weight tensor\n *\n * Reference:\n *   Glorot & Bengio, AISTATS 2010\n *       http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf.\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function glorotUniform(args: SeedOnlyInitializerArgs): Initializer {\n  return new GlorotUniform(args);\n}\n\n/**\n * Glorot normal initializer, also called Xavier normal initializer.\n * It draws samples from a truncated normal distribution centered on 0\n * with `stddev = sqrt(2 / (fan_in + fan_out))`\n * where `fan_in` is the number of input units in the weight tensor\n * and `fan_out` is the number of output units in the weight tensor.\n *\n * Reference:\n *   Glorot & Bengio, AISTATS 2010\n *       http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function glorotNormal(args: SeedOnlyInitializerArgs): Initializer {\n  return new GlorotNormal(args);\n}\n\n/**\n * He normal initializer.\n *\n * It draws samples from a truncated normal distribution centered on 0\n * with `stddev = sqrt(2 / fanIn)`\n * where `fanIn` is the number of input units in the weight tensor.\n *\n * Reference:\n *     He et al., http://arxiv.org/abs/1502.01852\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function heNormal(args: SeedOnlyInitializerArgs): Initializer {\n  return new HeNormal(args);\n}\n\n/**\n * He uniform initializer.\n *\n * It draws samples from a uniform distribution within [-limit, limit]\n * where `limit` is `sqrt(6 / fan_in)`\n * where `fanIn` is the number of input units in the weight tensor.\n *\n * Reference:\n *     He et al., http://arxiv.org/abs/1502.01852\n */\n/** @doc {heading: 'Initializers',namespace: 'initializers'} */\nexport function heUniform(args: SeedOnlyInitializerArgs): Initializer {\n  return new HeUniform(args);\n}\n\n/**\n * LeCun normal initializer.\n *\n * It draws samples from a truncated normal distribution centered on 0\n * with `stddev = sqrt(1 / fanIn)`\n * where `fanIn` is the number of input units in the weight tensor.\n *\n * References:\n *   [Self-Normalizing Neural Networks](https://arxiv.org/abs/1706.02515)\n *   [Efficient Backprop](http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf)\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function leCunNormal(args: SeedOnlyInitializerArgs): Initializer {\n  return new LeCunNormal(args);\n}\n\n/**\n * LeCun uniform initializer.\n *\n * It draws samples from a uniform distribution in the interval\n * `[-limit, limit]` with `limit = sqrt(3 / fanIn)`,\n * where `fanIn` is the number of input units in the weight tensor.\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function leCunUniform(args: SeedOnlyInitializerArgs): Initializer {\n  return new LeCunUniform(args);\n}\n\n/**\n * Initializer that generates a random orthogonal matrix.\n *\n * Reference:\n * [Saxe et al., http://arxiv.org/abs/1312.6120](http://arxiv.org/abs/1312.6120)\n */\n/** @doc {heading: 'Initializers', namespace: 'initializers'} */\nexport function orthogonal(args: OrthogonalArgs): Initializer {\n  return new Orthogonal(args);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Utilities related to persistent state in the backend.\n */\n\n/**\n * An ID to track `tf.SymbolicTensor`s and derived classes.\n * Required in different places in engine/topology.ts to identify unique\n * tensors.\n */\nlet _nextUniqueTensorId = 0;\n\nexport function getNextUniqueTensorId(): number {\n  return _nextUniqueTensorId++;\n}\n\nconst _uidPrefixes: {[prefix: string]: number} = {};\n\n/**\n * Provides a unique UID given a string prefix.\n *\n * @param prefix\n */\nexport function getUid(prefix = ''): string {\n  if (!(prefix in _uidPrefixes)) {\n    _uidPrefixes[prefix] = 0;\n  }\n  _uidPrefixes[prefix] += 1;\n  return prefix + _uidPrefixes[prefix].toString();\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original source: utils/generic_utils.py */\n\nimport {Tensor} from '@tensorflow/tfjs-core';\nimport {ValueError} from '../errors';\nimport {Shape} from '../keras_format/common';\n// tslint:enable\n\n/**\n * Determine whether the input is an Array of Shapes.\n */\nexport function isArrayOfShapes(x: Shape|Shape[]): boolean {\n  return Array.isArray(x) && Array.isArray(x[0]);\n}\n\n/**\n * Special case of normalizing shapes to lists.\n *\n * @param x A shape or list of shapes to normalize into a list of Shapes.\n * @return A list of Shapes.\n */\nexport function normalizeShapeList(x: Shape|Shape[]): Shape[] {\n  if (x.length === 0) {\n    return [];\n  }\n  if (!Array.isArray(x[0])) {\n    return [x] as Shape[];\n  }\n  return x as Shape[];\n}\n\n/**\n * Helper function to obtain exactly one Tensor.\n * @param xs: A single `tf.Tensor` or an `Array` of `tf.Tensor`s.\n * @return A single `tf.Tensor`. If `xs` is an `Array`, return the first one.\n * @throws ValueError: If `xs` is an `Array` and its length is not 1.\n */\nexport function getExactlyOneTensor(xs: Tensor|Tensor[]): Tensor {\n  let x: Tensor;\n  if (Array.isArray(xs)) {\n    if (xs.length !== 1) {\n      throw new ValueError(`Expected Tensor length to be 1; got ${xs.length}`);\n    }\n    x = xs[0];\n  } else {\n    x = xs;\n  }\n  return x;\n}\n\n/**\n * Helper function to obtain exactly on instance of Shape.\n *\n * @param shapes Input single `Shape` or Array of `Shape`s.\n * @returns If input is a single `Shape`, return it unchanged. If the input is\n *   an `Array` containing exactly one instance of `Shape`, return the instance.\n *   Otherwise, throw a `ValueError`.\n * @throws ValueError: If input is an `Array` of `Shape`s, and its length is not\n *   1.\n */\nexport function getExactlyOneShape(shapes: Shape|Shape[]): Shape {\n  if (Array.isArray(shapes) && Array.isArray(shapes[0])) {\n    if (shapes.length === 1) {\n      shapes = shapes as Shape[];\n      return shapes[0];\n    } else {\n      throw new ValueError(`Expected exactly 1 Shape; got ${shapes.length}`);\n    }\n  } else {\n    return shapes as Shape;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport {LayerVariable} from '../variables';\n\n/**\n * Count the elements in an Array of LayerVariables.\n *\n * @param weights: The LayerVariables of which the constituent numbers are to\n *   be counted.\n * @returns A count of the elements in all the LayerVariables\n */\nexport function countParamsInWeights(weights: LayerVariable[]): number {\n  let count = 0;\n  for (const weight of weights) {\n    if (weight.shape.length === 0) {\n      count += 1;\n    } else {\n      count += weight.shape.reduce((a, b) => a * b);\n    }\n  }\n  return count;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {DataType, Tensor, variableGrads} from '@tensorflow/tfjs-core';\n\nimport {getNextUniqueTensorId} from './backend/state';\nimport {getScopedTensorName, getUniqueTensorName} from './common';\nimport {Constraint} from './constraints';\nimport {NotImplementedError} from './errors';\nimport {Shape} from './keras_format/common';\nimport {HasShape} from './types';\n\nconst DEFAULT_VARIABLE_NAME_PREFIX = 'Variable';\n\n/**\n * A `tf.layers.LayerVariable` is similar to a `tf.Tensor` in that it has a\n * dtype and shape, but its value is mutable.  The value is itself represented\n * as a`tf.Tensor`, and can be read with the `read()` method and updated with\n * the `write()` method.\n */\nexport class LayerVariable {\n  readonly dtype: DataType;\n  readonly shape: Shape;\n\n  readonly id: number;\n  // The fully scoped name of this Variable, including a unique suffix if needed\n  readonly name: string;\n  // The originally requested fully scoped name of this Variable, not including\n  // any unique suffix.  This may be needed when restoring weights because this\n  // original name is used as a key.\n  readonly originalName: string;\n  private trainable_: boolean;\n\n  protected readonly val: tfc.Variable;\n  readonly constraint: Constraint;\n  /**\n   * Construct Variable from a `tf.Tensor`.\n   *\n   * If not explicitly named, the Variable will be given a name with the\n   * prefix 'Variable'. Variable names are unique. In the case of name\n   * collision, suffixies '_<num>' will be added to the name.\n   *\n   * @param val Initial value of the Variable.\n   * @param name Name of the variable. If `null` or `undefined` is provided, it\n   *   will default a name with the prefix 'Variable'.\n   * @param constraint Optional, projection function to be applied to the\n   * variable after optimize updates\n   * @throws ValueError if `name` is `null` or `undefined`.\n   */\n  constructor(\n      val: Tensor, dtype: DataType = 'float32',\n      name = DEFAULT_VARIABLE_NAME_PREFIX, trainable = true,\n      constraint: Constraint = null) {\n    this.dtype = dtype == null ? 'float32' : dtype;\n    this.shape = val.shape;\n    this.id = getNextUniqueTensorId();\n\n    name = name == null ? DEFAULT_VARIABLE_NAME_PREFIX : name;\n    this.originalName = getScopedTensorName(name);\n    this.name = getUniqueTensorName(this.originalName);\n\n    this.trainable_ = trainable;\n    this.constraint = constraint;\n\n    this.val = tfc.variable(val, this.trainable_, this.name, this.dtype);\n  }\n\n  /**\n   * Get a snapshot of the Variable's value.\n   *\n   * The returned value is a snapshot of the Variable's value at the time of\n   * the invocation. Future mutations in the value of the tensor will only\n   * be reflected by future calls to this method.\n   */\n  read(): Tensor {\n    this.assertNotDisposed();\n    return this.val;\n  }\n\n  /**\n   * Update the value of the Variable.\n   *\n   * @param newVal: The new value to update to. Must be consistent with the\n   *   dtype and shape of the Variable.\n   * @return This Variable.\n   */\n  write(newVal: Tensor) {\n    // TODO(cais): Once  TF.js Core supports Tensor.dtype, check dtype match.\n    this.assertNotDisposed();\n    checkShapesMatch(this.val, newVal);\n    // Skip updating if this is the exact same tensor.\n    if (this.val.id !== newVal.id) {\n      this.val.assign(newVal);\n      if (this.constraint != null) {\n        this.val.assign(this.constraint.apply(this.val));\n      }\n    }\n    return this;\n  }\n\n  /**\n   * Dispose this LayersVariable instance from memory.\n   */\n  dispose(): void {\n    this.assertNotDisposed();\n    this.val.dispose();\n  }\n\n  protected assertNotDisposed(): void {\n    if (this.val.isDisposed) {\n      throw new Error(`LayersVariable ${this.name} is already disposed.`);\n    }\n  }\n\n  get trainable(): boolean {\n    return this.trainable_;\n  }\n\n  set trainable(trainable: boolean) {\n    this.trainable_ = trainable;\n    this.val.trainable = trainable;\n  }\n}\n\nfunction checkShapesMatch(x: HasShape, y: HasShape): void {\n  if (x.shape.toString() !== y.shape.toString()) {\n    throw new Error(\n        'Shape mismatch: ' + JSON.stringify(x.shape) + ' vs. ' +\n        JSON.stringify(y.shape));\n  }\n}\n\n/**\n * Create a Variable.\n * @param x The initial value of the `Variable`.\n * @param dtype optional, the type of the variable.\n * @param name optional, the name of the variable, default provided by\n * Variable.\n * @param constraint optional, a constraint to be applied after every update.\n * @return The newly instantiated `Variable`.\n */\nexport function variable(\n    x: Tensor, dtype?: DataType, name?: string,\n    constraint?: Constraint): LayerVariable {\n  return new LayerVariable(x, dtype, name, true, constraint);\n}\n\n/**\n * Instantiates an all-zeros Variable and returns it.\n *\n * @param shape Shape of the tensor.\n * @param dtype DType of the tensor.\n * @param name Name of the tensor.\n * @return An all-zero Variable.\n */\nexport function zerosVariable(\n    shape: Shape, dtype?: DataType, name?: string): LayerVariable {\n  // TODO(cais): Implement logic for dtype.\n  return new LayerVariable(tfc.zeros(shape), dtype, name);\n}\n\n/**\n * Instantiates an all-zeros tensor of the same shape as another tensor.\n *\n * @param x The other tensor.\n * @param dtype DType of the tensor.\n * @param name Name of the tensor.\n * @return A newly instantiated Variable.\n */\nexport function zerosLike(\n    x: Tensor, dtype?: DataType, name?: string): LayerVariable {\n  return new LayerVariable(tfc.zerosLike(x), dtype, name);\n}\n\n/**\n * Instantiates an all-ones tensor and returns it.\n *\n * @param shape Shape of the tensor.\n * @param dtype DType of the tensor.\n * @param name Name of the tensor.\n * @return An all-ones Variable.\n */\nexport function onesVariable(\n    shape: Shape, dtype?: DataType, name?: string): LayerVariable {\n  // TODO(cais): Implement logic for dtype.\n  const allocated = tfc.ones(shape);\n  return new LayerVariable(allocated, dtype, name);\n}\n\n/**\n * Instantiates an all-ones tensor of the same shape as another tensor.\n *\n * @param x The other tensor.\n * @param dtype DType of the tensor.\n * @param name Name of the tensor.\n * @return A newly instantiated Variable.\n */\nexport function onesLike(\n    x: Tensor, dtype?: DataType, name?: string): LayerVariable {\n  const allocated = tfc.onesLike(x);\n  return new LayerVariable(allocated, dtype, name);\n}\n\n/**\n * Instantiate an identity matrix and returns it, as a Variable\n *\n * @param size Number of rows/columns.\n * @param dtype Data type of returned Variable.\n * @param name Name of returned Variable.\n * @return A Variable, an identity matrix.\n */\nexport function eyeVariable(\n    size: number, dtype?: DataType, name?: string): LayerVariable {\n  return new LayerVariable(tfc.eye(size), dtype, name);\n}\n\n/**\n * Get a Variable with uniform distribution of values.\n * @param shape Shape of the tensor.\n * @param minval Lower bound of the uniform distribution.\n * @param maxval Upper bound of the uniform distribution.\n * @param dtype\n * @param seed\n * @param name Optional name.\n * @return The uniform-random Variable.\n */\nexport function randomUniformVariable(\n    shape: Shape, minval: number, maxval: number, dtype?: DataType,\n    seed?: number, name = 'randomUniform'): LayerVariable {\n  return new LayerVariable(\n      tfc.randomUniform(shape, minval, maxval, dtype), dtype, name);\n}\n\n/**\n * Get a Variable with truncated-normal distribution of values.\n * @param shape Shape of the tensor.\n * @param mean mean value of the normal distribution.\n * @param stddev standard deviation of the normal distribution.\n * @param dtype\n * @param seed\n * @param name Optional name.\n * @return The truncated-normal-random Variable.\n */\nexport function truncatedNormalVariable(\n    shape: Shape, mean = 0.0, stddev = 1.0, dtype?: DataType, seed?: number,\n    name = 'truncatedNormal'): LayerVariable {\n  // TODO(cais): Implement logic for dtype and seed once they are supported\n  // by deeplearn.js.\n  dtype = dtype || 'float32';\n  if (dtype !== 'float32' && dtype !== 'int32') {\n    throw new NotImplementedError(\n        `randomNormal does not support dType ${dtype}.`);\n  }\n  return new LayerVariable(\n      tfc.truncatedNormal(shape, mean, stddev, dtype, seed), dtype, name);\n}\n/**\n * Get a Variable with normal distribution of values.\n * @param shape Shape of the tensor.\n * @param mean mean value of the normal distribution.\n * @param stddev standard deviation of the normal distribution.\n * @param dtype\n * @param seed\n * @param name Optional name.\n * @return The truncated-normal-random Variable.\n */\nexport function randomNormalVariable(\n    shape: Shape, mean = 0.0, stddev = 1.0, dtype?: DataType, seed?: number,\n    name = 'randomNormal'): LayerVariable {\n  dtype = dtype || 'float32';\n  if (dtype !== 'float32' && dtype !== 'int32') {\n    throw new NotImplementedError(\n        `randomNormalVariable does not support dType ${dtype}.`);\n  }\n  return new LayerVariable(\n      tfc.randomNormal(shape, mean, stddev, dtype, seed), dtype, name);\n}\n\n/**\n * Update the value of a Variable.\n * @param x The Variable to be updated.\n * @param xNew The new value to update to.\n * @return The Variable updated.\n */\nexport function update(x: LayerVariable, xNew: Tensor): LayerVariable {\n  return x.write(xNew);\n}\n\n/**\n * Update the value of a Variable by adding an increment.\n * @param x The Variable to be updated.\n * @param increment The incrment to add to `x`.\n * @return The Variable updated.\n */\nexport function updateAdd(x: LayerVariable, increment: Tensor): LayerVariable {\n  return x.write(tfc.add(x.read(), increment));\n}\n\n/**\n * Update the value of a Variable by subtracting a decrement.\n * @param x The Variable to be updated.\n * @param decrement The decrement to subtract from `x`.\n * @return The Variable updated.\n */\nexport function updateSub(x: LayerVariable, decrement: Tensor): LayerVariable {\n  return x.write(tfc.sub(x.read(), decrement));\n}\n\n/**\n * Get the values of an array of Variables.\n *\n * @param tensors An `Array` of `Variable`s to get the values of.\n * @return The values of the inputs, as an `Array` of`tf.Tensor`s.\n */\nexport function batchGetValue(xs: LayerVariable[]): Tensor[] {\n  return xs.map(x => x.read());\n}\n\n/**\n * Update the value of multiple Variables at once.\n *\n * @param variablesAndValues An `Array`, each element is of type\n *   [Variable, Tensor]. The first item is the\n *   `Variable` of which the value is to be updated. The second item\n *   carries the new value.\n */\nexport function batchSetValue(\n    variablesAndValues: Array<[LayerVariable, Tensor]>): void {\n  variablesAndValues.forEach(variableAndValue => {\n    const variable: LayerVariable = variableAndValue[0];\n    variable.write(variableAndValue[1]);\n  });\n}\n\n/**\n * Returns the gradients of `variables` w.r.t. the return value of `lossFn`.\n * @param lossFn A function which returns a Scalar to be used as the function\n *   value (i.e., numerator) for differentiation.\n * @param variables List of variables to be used as the independent variables\n *   (i.e., denominator) for differentiation.\n * @returns An Array of gradients tensors.\n */\nexport function gradients(\n    lossFn: () => tfc.Scalar, variables: LayerVariable[]): Tensor[] {\n  // TODO(cais): The return type signature can be simplified if deeplearn makes\n  //   the corresponding type public.\n  const variableList =\n      variables.map(variable => variable.read() as tfc.Variable);\n  const valudAndGrads = variableGrads(lossFn, variableList);\n  return variables.map(variable => valudAndGrads.grads[variable.name]);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original source: keras/engine/topology.py */\n\nimport {DataType, Scalar, serialization, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {getNextUniqueTensorId, getUid} from '../backend/state';\nimport {getScopedTensorName, getUniqueTensorName, nameScope} from '../common';\nimport {Constraint} from '../constraints';\nimport {AttributeError, NotImplementedError, RuntimeError, ValueError} from '../errors';\nimport {getInitializer, Initializer} from '../initializers';\nimport {Shape} from '../keras_format/common';\nimport {Regularizer} from '../regularizers';\nimport {Kwargs, RegularizerFn} from '../types';\nimport * as generic_utils from '../utils/generic_utils';\nimport * as types_utils from '../utils/types_utils';\nimport * as variable_utils from '../utils/variable_utils';\nimport {batchGetValue, batchSetValue, LayerVariable} from '../variables';\n\n// TODO(michaelterry): This is a stub until it's defined.\nexport type Op = (x: LayerVariable) => LayerVariable;\n\n/**\n * Constructor arguments for InputSpec.\n */\nexport interface InputSpecArgs {\n  /** Expected datatype of the input. */\n  dtype?: DataType;\n  /** Expected shape of the input (may include null for unchecked axes). */\n  shape?: Shape;\n  /** Expected rank of the input. */\n  ndim?: number;\n  /** Maximum rank of the input. */\n  maxNDim?: number;\n  /** Minimum rank of the input. */\n  minNDim?: number;\n  /** Dictionary mapping integer axes to a specific dimension value. */\n  axes?: {[axis: number]: number};\n}\n\n/**\n * Specifies the ndim, dtype and shape of every input to a layer.\n *\n * Every layer should expose (if appropriate) an `inputSpec` attribute:\n * a list of instances of InputSpec (one per input tensor).\n *\n * A null entry in a shape is compatible with any dimension,\n * a null shape is compatible with any shape.\n */\nexport class InputSpec {\n  /** Expected datatype of the input. */\n  dtype?: DataType;\n  /** Expected shape of the input (may include null for unchecked axes). */\n  shape?: Shape;\n  /** Expected rank of the input. */\n  ndim?: number;\n  /** Maximum rank of the input. */\n  maxNDim?: number;\n  /** Minimum rank of the input. */\n  minNDim?: number;\n  /** Dictionary mapping integer axes to a specific dimension value. */\n  axes?: {[axis: number]: number};\n\n  constructor(args: InputSpecArgs) {\n    this.dtype = args.dtype;\n    this.shape = args.shape;\n    /*\n      TODO(michaelterry): Could throw error if ndim and shape are both defined\n        (then backport).\n    */\n    if (args.shape != null) {\n      this.ndim = args.shape.length;\n    } else {\n      this.ndim = args.ndim;\n    }\n    this.maxNDim = args.maxNDim;\n    this.minNDim = args.minNDim;\n    this.axes = args.axes || {};\n  }\n}\n\n/**\n * `tf.SymbolicTensor` is a placeholder for a Tensor without any concrete value.\n *\n * They are most often encountered when building a graph of `Layer`s for a\n * a `tf.LayersModel` and the input data's shape, but not values are known.\n */\n/** @doc {heading: 'Models', 'subheading': 'Classes'} */\nexport class SymbolicTensor {\n  /* A unique ID for the tensor to be able to differentiate tensors. */\n  readonly id: number;\n  // The fully scoped name of this Variable, including a unique suffix if needed\n  readonly name: string;\n  // The originally requested fully scoped name of this Variable, not including\n  // any unique suffix.  This may be needed when restoring weights because this\n  // original name is used as a key.\n  readonly originalName?: string;\n  /**\n   * Rank/dimensionality of the tensor.\n   */\n  readonly rank: number;\n  /**\n   * Replacement for _keras_history.\n   */\n  nodeIndex: number;\n  /**\n   * Replacement for _keras_history.\n   */\n  tensorIndex: number;\n\n  /**\n   *\n   * @param dtype\n   * @param shape\n   * @param sourceLayer The Layer that produced this symbolic tensor.\n   * @param inputs The inputs passed to sourceLayer's __call__() method.\n   * @param nodeIndex\n   * @param tensorIndex\n   * @param callArgs The keyword arguments passed to the __call__() method.\n   * @param name\n   * @param outputTensorIndex The index of this tensor in the list of outputs\n   *   returned by apply().\n   */\n  constructor(\n      readonly dtype: DataType, readonly shape: Shape,\n      public sourceLayer: Layer, readonly inputs: SymbolicTensor[],\n      readonly callArgs: Kwargs, name?: string,\n      readonly outputTensorIndex?: number) {\n    this.id = getNextUniqueTensorId();\n    if (name != null) {\n      this.originalName = getScopedTensorName(name);\n      this.name = getUniqueTensorName(this.originalName);\n    }\n    this.rank = shape.length;\n  }\n}\n\n/**\n * Constructor arguments for Node.\n */\nexport interface NodeArgs {\n  /**\n   * The layer that takes `inputTensors` and turns them into `outputTensors`.\n   * (the node gets created when the `call` method of the layer is called).\n   */\n  outboundLayer: Layer;\n  /**\n   * A list of layers, the same length as `inputTensors`, the layers from where\n   * `inputTensors` originate.\n   */\n  inboundLayers: Layer[];\n  /**\n   * A list of integers, the same length as `inboundLayers`. `nodeIndices[i]` is\n   * the origin node of `inputTensors[i]` (necessary since each inbound layer\n   * might have several nodes, e.g. if the layer is being shared with a\n   * different data stream).\n   */\n  nodeIndices: number[];\n  /**\n   * A list of integers, the same length as `inboundLayers`. `tensorIndices[i]`\n   * is the index of `inputTensors[i]` within the output of the inbound layer\n   * (necessary since each inbound layer might have multiple tensor outputs,\n   * with each one being independently manipulable).\n   */\n  tensorIndices: number[];\n  /** List of input tensors. */\n  inputTensors: SymbolicTensor[];\n  /** List of output tensors. */\n  outputTensors: SymbolicTensor[];\n  /** List of input masks (a mask can be a tensor, or null). */\n  inputMasks: Tensor[];\n  /** List of output masks (a mask can be a tensor, or null). */\n  outputMasks: Tensor[];\n  /** List of input shape tuples. */\n  inputShapes: Shape|Shape[];\n  /** List of output shape tuples. */\n  outputShapes: Shape|Shape[];\n}\n\n/**\n * The type of the return value of Layer.dispose() and Container.dispose().\n */\nexport interface DisposeResult {\n  /**\n   * Reference count after the dispose call.\n   */\n  refCountAfterDispose: number;\n\n  /**\n   * Number of variables dispose in this dispose call.\n   */\n  numDisposedVariables: number;\n}\n\nlet _nextNodeID = 0;\n\n/**\n * A `Node` describes the connectivity between two layers.\n *\n * Each time a layer is connected to some new input,\n * a node is added to `layer.inboundNodes`.\n *\n * Each time the output of a layer is used by another layer,\n * a node is added to `layer.outboundNodes`.\n *\n * `nodeIndices` and `tensorIndices` are basically fine-grained coordinates\n * describing the origin of the `inputTensors`, verifying the following:\n *\n * `inputTensors[i] ==\n * inboundLayers[i].inboundNodes[nodeIndices[i]].outputTensors[\n *   tensorIndices[i]]`\n *\n * A node from layer A to layer B is added to:\n *     A.outboundNodes\n *     B.inboundNodes\n */\nexport class Node {\n  /**\n   * The layer that takes `inputTensors` and turns them into `outputTensors`\n   * (the node gets created when the `call` method of the layer is called).\n   */\n  outboundLayer: Layer;\n  /**\n   * A list of layers, the same length as `inputTensors`, the layers from where\n   * `inputTensors` originate.\n   */\n  inboundLayers: Layer[];\n  /**\n   * A list of integers, the same length as `inboundLayers`. `nodeIndices[i]` is\n   * the origin node of `inputTensors[i]` (necessary since each inbound layer\n   * might have several nodes, e.g. if the layer is being shared with a\n   * different data stream).\n   */\n  nodeIndices: number[];\n  /**\n   * A list of integers, the same length as `inboundLayers`. `tensorIndices[i]`\n   * is the index of `inputTensors[i]` within the output of the inbound layer\n   * (necessary since each inbound layer might have multiple tensor outputs,\n   * with each one being independently manipulable).\n   */\n  tensorIndices: number[];\n  /** List of input tensors. */\n  inputTensors: SymbolicTensor[];\n  /** List of output tensors. */\n  outputTensors: SymbolicTensor[];\n  /** List of input masks (a mask can be a tensor, or null). */\n  inputMasks: Tensor[];\n  /** List of output masks (a mask can be a tensor, or null). */\n  outputMasks: Tensor[];\n  /** List of input shape tuples. */\n  inputShapes: Shape|Shape[];\n  /** List of output shape tuples. */\n  outputShapes: Shape|Shape[];\n\n  readonly id: number;\n\n  constructor(\n      args: NodeArgs,\n      // TODO(michaelterry): Define actual type for this.\n      public callArgs?: Kwargs) {\n    this.id = _nextNodeID++;\n    /*\n      Layer instance (NOT a list).\n      this is the layer that takes a list of input tensors\n      and turns them into a list of output tensors.\n      the current node will be added to\n      the inboundNodes of outboundLayer.\n    */\n    this.outboundLayer = args.outboundLayer;\n\n    /*\n        The following 3 properties describe where\n        the input tensors come from: which layers,\n        and for each layer, which node and which\n        tensor output of each node.\n    */\n\n    // List of layer instances.\n    this.inboundLayers = args.inboundLayers;\n    // List of integers, 1:1 mapping with inboundLayers.\n    this.nodeIndices = args.nodeIndices;\n    // List of integers, 1:1 mapping with inboundLayers.\n    this.tensorIndices = args.tensorIndices;\n\n    /*\n        Following 2 properties:\n        tensor inputs and outputs of outboundLayer.\n    */\n\n    // List of tensors. 1:1 mapping with inboundLayers.\n    this.inputTensors = args.inputTensors;\n    // List of tensors, created by outboundLayer.call().\n    this.outputTensors = args.outputTensors;\n\n    /*\n        Following 2 properties: input and output masks.\n        List of tensors, 1:1 mapping with inputTensor.\n    */\n    this.inputMasks = args.inputMasks;\n    // List of tensors, created by outboundLayer.computeMask().\n    this.outputMasks = args.outputMasks;\n\n    // Following 2 properties: input and output shapes.\n\n    // List of shape tuples, shapes of inputTensors.\n    this.inputShapes = args.inputShapes;\n    // List of shape tuples, shapes of outputTensors.\n    this.outputShapes = args.outputShapes;\n\n    // Add nodes to all layers involved.\n    for (const layer of args.inboundLayers) {\n      if (layer != null) {\n        layer.outboundNodes.push(this);\n      }\n    }\n    args.outboundLayer.inboundNodes.push(this);\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const inboundNames: string[] = [];\n    for (const layer of this.inboundLayers) {\n      if (layer != null) {\n        inboundNames.push(layer.name);\n      } else {\n        inboundNames.push(null);\n      }\n    }\n    return {\n      outboundLayer: this.outboundLayer ? this.outboundLayer.name : null,\n      inboundLayers: inboundNames,\n      nodeIndices: this.nodeIndices,\n      tensorIndices: this.tensorIndices\n    };\n  }\n}\n\n/** Constructor arguments for Layer. */\nexport declare interface LayerArgs {\n  /**\n   * If defined, will be used to create an input layer to insert before this\n   * layer. If both `inputShape` and `batchInputShape` are defined,\n   * `batchInputShape` will be used. This argument is only applicable to input\n   * layers (the first layer of a model).\n   */\n  inputShape?: Shape;\n  /**\n   * If defined, will be used to create an input layer to insert before this\n   * layer. If both `inputShape` and `batchInputShape` are defined,\n   * `batchInputShape` will be used. This argument is only applicable to input\n   * layers (the first layer of a model).\n   */\n  batchInputShape?: Shape;\n  /**\n   * If `inputShape` is specified and `batchInputShape` is *not* specified,\n   * `batchSize` is used to construct the `batchInputShape`: `[batchSize,\n   * ...inputShape]`\n   */\n  batchSize?: number;\n  /**\n   * The data-type for this layer. Defaults to 'float32'.\n   * This argument is only applicable to input layers (the first layer of a\n   * model).\n   */\n  dtype?: DataType;\n  /** Name for this layer. */\n  name?: string;\n  /**\n   * Whether the weights of this layer are updatable by `fit`.\n   * Defaults to true.\n   */\n  trainable?: boolean;\n  /**\n   * Initial weight values of the layer.\n   */\n  weights?: Tensor[];\n  /** Legacy support. Do not use for new code. */\n  inputDType?: DataType;\n}\n\n// If necessary, add `output` arguments to the CallHook function.\n// This is currently used for testing only, but may be used for debugger-related\n// purposes in the future.\nexport type CallHook = (inputs: Tensor|Tensor[], kwargs: Kwargs) => void;\n\nlet _nextLayerID = 0;\n\n/**\n * A layer is a grouping of operations and weights that can be composed to\n * create a `tf.LayersModel`.\n *\n * Layers are constructed by using the functions under the\n * [tf.layers](#Layers-Basic) namespace.\n */\n/** @doc {heading: 'Layers', subheading: 'Classes', namespace: 'layers'} */\nexport abstract class Layer extends serialization.Serializable {\n  /** Name for this layer. Must be unique within a model. */\n  name: string;\n  /**\n   * List of InputSpec class instances.\n   *\n   * Each entry describes one required input:\n   * - ndim\n   * - dtype\n   * A layer with `n` input tensors must have an `inputSpec` of length `n`.\n   */\n  inputSpec: InputSpec[];\n  supportsMasking: boolean;\n  /** Whether the layer weights will be updated during training. */\n  protected trainable_: boolean;\n  batchInputShape: Shape;\n  dtype: DataType;\n  initialWeights: Tensor[];\n\n  inboundNodes: Node[];\n  outboundNodes: Node[];\n\n  activityRegularizer: Regularizer;\n\n  protected _trainableWeights: LayerVariable[];\n  private _nonTrainableWeights: LayerVariable[];\n  private _losses: RegularizerFn[];\n  // TODO(cais): _updates is currently unused.\n  private _updates: Tensor[];\n  private _built: boolean;\n  private _callHook: CallHook = null;\n\n  private _addedWeightNames: string[] = [];\n\n  readonly id: number;\n\n  // Porting Notes: PyKeras does not have this property in this base Layer\n  //   class. Instead lets Layer subclass set it dynamically and checks the\n  //   value with `hasattr`. In tfjs-layers, we let this be a member of this\n  //   base class.\n  protected _stateful = false;\n\n  protected _refCount: number|null;\n\n  // A flag for whether fast (i.e., all-zero) weight initialization is to\n  // be used during `build()` call. This speeds up weight initialization\n  // by saving unnecessary calls to expensive initializers in cases where\n  // the initialized values will be overwritten by loaded weight values\n  // during model loading.\n  private fastWeightInitDuringBuild: boolean;\n\n  constructor(args: LayerArgs) {\n    super();\n    this.id = _nextLayerID++;\n\n    this.activityRegularizer = null;\n\n    this.inputSpec = null;\n    this.supportsMasking = false;\n\n    // These properties will be set upon call of this.build()\n    this._trainableWeights = [];\n    this._nonTrainableWeights = [];\n    this._losses = [];\n    this._updates = [];\n    this._built = false;\n\n    /*\n      These lists will be filled via successive calls\n      to this.addInboundNode().\n     */\n    this.inboundNodes = [];\n    this.outboundNodes = [];\n\n    let name = args.name;\n    if (!name) {\n      const prefix = this.getClassName();\n      name = generic_utils.toSnakeCase(prefix) + '_' + getUid(prefix);\n    }\n    this.name = name;\n\n    this.trainable_ = args.trainable == null ? true : args.trainable;\n\n    if (args.inputShape != null || args.batchInputShape != null) {\n      /*\n        In this case we will later create an input layer\n        to insert before the current layer\n       */\n      let batchInputShape: Shape;\n      if (args.batchInputShape != null) {\n        batchInputShape = args.batchInputShape;\n      } else if (args.inputShape != null) {\n        let batchSize: number = null;\n        if (args.batchSize != null) {\n          batchSize = args.batchSize;\n        }\n        batchInputShape = [batchSize].concat(args.inputShape);\n      }\n      this.batchInputShape = batchInputShape;\n\n      // Set dtype.\n      let dtype = args.dtype;\n      if (dtype == null) {\n        dtype = args.inputDType;\n      }\n      if (dtype == null) {\n        dtype = 'float32';\n      }\n      this.dtype = dtype;\n    }\n\n    if (args.weights != null) {\n      this.initialWeights = args.weights;\n    } else {\n      this.initialWeights = null;\n    }\n\n    // The value of `_refCount` is initialized to null. When the layer is used\n    // in a symbolic way for the first time, it will be set to 1.\n    this._refCount = null;\n\n    this.fastWeightInitDuringBuild = false;\n  }\n\n  /**\n   * Converts a layer and its index to a unique (immutable type) name.\n   * This function is used internally with `this.containerNodes`.\n   * @param layer The layer.\n   * @param nodeIndex The layer's position (e.g. via enumerate) in a list of\n   *   nodes.\n   *\n   * @returns The unique name.\n   */\n  protected static nodeKey(layer: Layer, nodeIndex: number) {\n    return layer.name + '_ib-' + nodeIndex.toString();\n  }\n\n  /**\n   * Returns this.inboundNode at index nodeIndex.\n   *\n   * Porting note: This is a replacement for _get_node_attribute_at_index()\n   * @param nodeIndex\n   * @param attrName The name of the attribute related to request for this node.\n   */\n  private getNodeAtIndex(nodeIndex: number, attrName: string): Node {\n    if (this.inboundNodes.length === 0) {\n      throw new RuntimeError(\n          'The layer has never been called ' +\n          `and thus has no defined ${attrName}.`);\n    }\n    if (this.inboundNodes.length <= nodeIndex) {\n      throw new ValueError(\n          `Asked to get ${attrName} at node ${nodeIndex}, ` +\n          `but the layer has only ${this.inboundNodes.length} inbound nodes.`);\n    }\n    return this.inboundNodes[nodeIndex];\n  }\n\n  /**\n   * Retrieves the input tensor(s) of a layer at a given node.\n   *\n   * @param nodeIndex Integer, index of the node from which to retrieve the\n   *   attribute. E.g. `nodeIndex=0` will correspond to the first time the layer\n   *   was called.\n   *\n   * @return A tensor (or list of tensors if the layer has multiple inputs).\n   */\n  getInputAt(nodeIndex: number): SymbolicTensor|SymbolicTensor[] {\n    return generic_utils.singletonOrArray(\n        this.getNodeAtIndex(nodeIndex, 'input').inputTensors);\n  }\n\n  /**\n   * Retrieves the output tensor(s) of a layer at a given node.\n   *\n   * @param nodeIndex Integer, index of the node from which to retrieve the\n   *   attribute. E.g. `nodeIndex=0` will correspond to the first time the layer\n   *   was called.\n   *\n   * @return A tensor (or list of tensors if the layer has multiple outputs).\n   */\n  getOutputAt(nodeIndex: number): SymbolicTensor|SymbolicTensor[] {\n    return generic_utils.singletonOrArray(\n        this.getNodeAtIndex(nodeIndex, 'output').outputTensors);\n  }\n\n  // Properties\n\n  /**\n   * Retrieves the input tensor(s) of a layer.\n   *\n   * Only applicable if the layer has exactly one inbound node,\n   * i.e. if it is connected to one incoming layer.\n   *\n   * @return Input tensor or list of input tensors.\n   *\n   * @exception AttributeError if the layer is connected to more than one\n   *   incoming layers.\n   */\n  get input(): SymbolicTensor|SymbolicTensor[] {\n    if (this.inboundNodes.length > 1) {\n      throw new AttributeError(\n          `Layer ${this.name}` +\n          ' has multiple inbound nodes, ' +\n          'hence the notion of \"layer input\" ' +\n          'is ill-defined. ' +\n          'Use `getInputAt(nodeIndex)` instead.');\n    } else if (this.inboundNodes.length === 0) {\n      throw new AttributeError(\n          `Layer ${this.name}` +\n          ' is not connected, no input to return.');\n    }\n    return generic_utils.singletonOrArray(\n        this.getNodeAtIndex(0, 'input').inputTensors);\n  }\n\n  /**\n   * Retrieves the output tensor(s) of a layer.\n   *\n   * Only applicable if the layer has exactly one inbound node,\n   * i.e. if it is connected to one incoming layer.\n   *\n   * @return Output tensor or list of output tensors.\n   *\n   * @exception AttributeError if the layer is connected to more than one\n   *   incoming layers.\n   */\n  get output(): SymbolicTensor|SymbolicTensor[] {\n    if (this.inboundNodes.length === 0) {\n      throw new AttributeError(\n          `Layer ${this.name}` +\n          ' has no inbound nodes.');\n    }\n    if (this.inboundNodes.length > 1) {\n      throw new AttributeError(\n          `Layer ${this.name}` +\n          ' has multiple inbound nodes, ' +\n          'hence the notion of \"layer output\" ' +\n          'is ill-defined. ' +\n          'Use `getOutputAt(nodeIndex)` instead.');\n    }\n    return generic_utils.singletonOrArray(\n        this.getNodeAtIndex(0, 'output').outputTensors);\n  }\n\n  get losses(): RegularizerFn[] {\n    return this._losses;\n  }\n\n  /**\n   * Retrieves the Layer's current loss values.\n   *\n   * Used for regularizers during training.\n   */\n  calculateLosses(): Scalar[] {\n    // Porting Node: This is an augmentation to Layer.loss in PyKeras.\n    //   In PyKeras, Layer.loss returns symbolic tensors. Here a concrete\n    //   Tensor (specifically Scalar) values are returned. This is due to the\n    //   imperative backend.\n    return this.losses.map(lossFn => lossFn());\n  }\n\n  get updates(): Tensor[] {\n    return this._updates;\n  }\n\n  get built(): boolean {\n    return this._built;\n  }\n\n  set built(built: boolean) {\n    this._built = built;\n  }\n\n  get trainable(): boolean {\n    return this.trainable_;\n  }\n\n  set trainable(trainable: boolean) {\n    this._trainableWeights.forEach(w => w.trainable = trainable);\n    this.trainable_ = trainable;\n  }\n\n  get trainableWeights(): LayerVariable[] {\n    if (this.trainable_) {\n      return this._trainableWeights.filter(w => w.trainable);\n    } else {\n      return [];\n    }\n  }\n\n  set trainableWeights(weights: LayerVariable[]) {\n    this._trainableWeights = weights;\n  }\n\n  get nonTrainableWeights(): LayerVariable[] {\n    if (this.trainable) {\n      return this._trainableWeights.filter(w => !w.trainable)\n          .concat(this._nonTrainableWeights);\n    } else {\n      return this._trainableWeights.concat(this._nonTrainableWeights);\n    }\n  }\n\n  set nonTrainableWeights(weights: LayerVariable[]) {\n    this._nonTrainableWeights = weights;\n  }\n\n  /**\n   * The concatenation of the lists trainableWeights and nonTrainableWeights\n   * (in this order).\n   */\n  get weights(): LayerVariable[] {\n    return this.trainableWeights.concat(this.nonTrainableWeights);\n  }\n\n  get stateful(): boolean {\n    return this._stateful;\n  }\n\n  /**\n   * Reset the states of the layer.\n   *\n   * This method of the base Layer class is essentially a no-op.\n   * Subclasses that are stateful (e.g., stateful RNNs) should override this\n   * method.\n   */\n  resetStates(): void {\n    if (!this.stateful) {\n      throw new Error(\n          'Cannot call the resetStates() method of a non-stateful Layer ' +\n          'object.');\n    }\n  }\n\n  /**\n   * Checks compatibility between the layer and provided inputs.\n   *\n   * This checks that the tensor(s) `input`\n   * verify the input assumptions of the layer\n   * (if any). If not, exceptions are raised.\n   *\n   * @param inputs Input tensor or list of input tensors.\n   *\n   * @exception ValueError in case of mismatch between\n   *   the provided inputs and the expectations of the layer.\n   */\n  protected assertInputCompatibility(inputs: Tensor|Tensor[]|SymbolicTensor|\n                                     SymbolicTensor[]): void {\n    inputs = generic_utils.toList(inputs);\n    if (this.inputSpec == null || this.inputSpec.length === 0) {\n      return;\n    }\n    const inputSpec = generic_utils.toList(this.inputSpec);\n    if (inputs.length !== inputSpec.length) {\n      throw new ValueError(\n          `Layer ${this.name} expects ${inputSpec.length} inputs, ` +\n          `but it received ${inputs.length} input tensors. ` +\n          `Input received: ${inputs}`);\n    }\n    for (let inputIndex = 0; inputIndex < inputs.length; inputIndex++) {\n      const x = inputs[inputIndex];\n      const spec: InputSpec = inputSpec[inputIndex];\n      if (spec == null) {\n        continue;\n      }\n\n      // Check ndim.\n      const ndim = x.rank;\n      if (spec.ndim != null) {\n        if (ndim !== spec.ndim) {\n          throw new ValueError(\n              `Input ${inputIndex} is incompatible with layer ${this.name}: ` +\n              `expected ndim=${spec.ndim}, found ndim=${ndim}`);\n        }\n      }\n      if (spec.maxNDim != null) {\n        if (ndim > spec.maxNDim) {\n          throw new ValueError(\n              `Input ${inputIndex} is incompatible with layer ${this.name}` +\n              `: expected max_ndim=${spec.maxNDim}, found ndim=${ndim}`);\n        }\n      }\n      if (spec.minNDim != null) {\n        if (ndim < spec.minNDim) {\n          throw new ValueError(\n              `Input ${inputIndex} is incompatible with layer ${this.name}` +\n              `: expected min_ndim=${spec.minNDim}, found ndim=${ndim}.`);\n        }\n      }\n\n      // Check dtype.\n      if (spec.dtype != null) {\n        if (x.dtype !== spec.dtype) {\n          throw new ValueError(\n              `Input ${inputIndex} is incompatible with layer ${this.name} ` +\n              `: expected dtype=${spec.dtype}, found dtype=${x.dtype}.`);\n        }\n      }\n\n      // Check specific shape axes.\n      if (spec.axes) {\n        const xShape = x.shape;\n        for (const key in spec.axes) {\n          const axis = Number(key);\n          const value = spec.axes[key];\n          // Perform Python-style slicing in case axis < 0;\n          // TODO(cais): Use https://github.com/alvivi/typescript-underscore to\n          // ensure type safety through Underscore calls.\n          const xShapeAtAxis =\n              axis >= 0 ? xShape[axis] : xShape[xShape.length + axis];\n          if (value != null && [value, null].indexOf(xShapeAtAxis) === -1) {\n            throw new ValueError(\n                `Input ${inputIndex} is incompatible with layer ` +\n                `${this.name}: expected axis ${axis} of input shape to ` +\n                `have value ${value} but got shape ${xShape}.`);\n          }\n        }\n      }\n\n      // Check shape.\n      if (spec.shape != null) {\n        for (let i = 0; i < spec.shape.length; ++i) {\n          const specDim = spec.shape[i];\n          const dim = x.shape[i];\n          if (specDim != null && dim != null) {\n            if (specDim !== dim) {\n              throw new ValueError(\n                  `Input ${inputIndex} is incompatible with layer ` +\n                  `${this.name}: expected shape=${spec.shape}, ` +\n                  `found shape=${x.shape}.`);\n            }\n          }\n        }\n      }\n    }\n  }\n\n  /**\n   * This is where the layer's logic lives.\n   *\n   * @param inputs Input tensor, or list/tuple of input tensors.\n   * @param kwargs Additional keyword arguments.\n   *\n   * @return A tensor or list/tuple of tensors.\n   */\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return inputs;\n  }\n\n  protected invokeCallHook(inputs: Tensor|Tensor[], kwargs: Kwargs) {\n    if (this._callHook != null) {\n      this._callHook(inputs, kwargs);\n    }\n  }\n\n  /**\n   * Set call hook.\n   * This is currently used for testing only.\n   * @param callHook\n   */\n  setCallHook(callHook: CallHook) {\n    this._callHook = callHook;\n  }\n\n  /**\n   * Clear call hook.\n   * This is currently used for testing only.\n   */\n  clearCallHook() {\n    this._callHook = null;\n  }\n\n  /**\n   * Builds or executes a `Layer's logic.\n   *\n   * When called with `tf.Tensor`(s), execute the `Layer`s computation and\n   * return Tensor(s). For example:\n   *\n   * ```js\n   * const denseLayer = tf.layers.dense({\n   *   units: 1,\n   *   kernelInitializer: 'zeros',\n   *   useBias: false\n   * });\n   *\n   * // Invoke the layer's apply() method with a `tf.Tensor` (with concrete\n   * // numeric values).\n   * const input = tf.ones([2, 2]);\n   * const output = denseLayer.apply(input);\n   *\n   * // The output's value is expected to be [[0], [0]], due to the fact that\n   * // the dense layer has a kernel initialized to all-zeros and does not have\n   * // a bias.\n   * output.print();\n   * ```\n   *\n   * When called with `tf.SymbolicTensor`(s), this will prepare the layer for\n   * future execution.  This entails internal book-keeping on shapes of\n   * expected Tensors, wiring layers together, and initializing weights.\n   *\n   * Calling `apply` with `tf.SymbolicTensor`s are typically used during the\n   * building of non-`tf.Sequential` models. For example:\n   *\n   * ```js\n   * const flattenLayer = tf.layers.flatten();\n   * const denseLayer = tf.layers.dense({units: 1});\n   *\n   * // Use tf.layers.input() to obtain a SymbolicTensor as input to apply().\n   * const input = tf.input({shape: [2, 2]});\n   * const output1 = flattenLayer.apply(input);\n   *\n   * // output1.shape is [null, 4]. The first dimension is the undetermined\n   * // batch size. The second dimension comes from flattening the [2, 2]\n   * // shape.\n   * console.log(JSON.stringify(output1.shape));\n   *\n   * // The output SymbolicTensor of the flatten layer can be used to call\n   * // the apply() of the dense layer:\n   * const output2 = denseLayer.apply(output1);\n   *\n   * // output2.shape is [null, 1]. The first dimension is the undetermined\n   * // batch size. The second dimension matches the number of units of the\n   * // dense layer.\n   * console.log(JSON.stringify(output2.shape));\n   *\n   * // The input and output and be used to construct a model that consists\n   * // of the flatten and dense layers.\n   * const model = tf.model({inputs: input, outputs: output2});\n   * ```\n   *\n   * @param inputs a `tf.Tensor` or `tf.SymbolicTensor` or an Array of them.\n   * @param kwargs Additional keyword arguments to be passed to `call()`.\n   *\n   * @return Output of the layer's `call` method.\n   *\n   * @exception ValueError error in case the layer is missing shape information\n   *   for its `build` call.\n   */\n  // Porting Note: This is a replacement for __call__() in Python.\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  apply(\n      inputs: Tensor|Tensor[]|SymbolicTensor|SymbolicTensor[],\n      kwargs?: Kwargs): Tensor|Tensor[]|SymbolicTensor|SymbolicTensor[] {\n    kwargs = kwargs || {};\n\n    this.assertNotDisposed();\n\n    // Ensure inputs are all the same type.\n    const inputsList = generic_utils.toList(inputs);\n\n    let allAreSymbolic = true;\n    for (const input of inputsList) {\n      if (!(input instanceof SymbolicTensor)) {\n        allAreSymbolic = false;\n        break;\n      }\n    }\n    let noneAreSymbolic = true;\n    for (const input of inputsList) {\n      if (input instanceof SymbolicTensor) {\n        noneAreSymbolic = false;\n        break;\n      }\n    }\n\n    if (allAreSymbolic === noneAreSymbolic) {\n      throw new ValueError(\n          'Arguments to apply() must be all ' +\n          'SymbolicTensors or all Tensors');\n    }\n\n    // TODO(michaelterry): nameScope() may not be necessary.\n    return nameScope(this.name, () => {\n      // Handle laying building (weight creating, input spec locking).\n      if (!this.built) {\n        /*\n          Throw exceptions in case the input is not compatible\n          with the inputSpec specified in the layer constructor.\n         */\n        this.assertInputCompatibility(inputs);\n\n        // Collect input shapes to build layer.\n        const inputShapes: Shape[] = [];\n        for (const xElem of generic_utils.toList(inputs)) {\n          inputShapes.push(xElem.shape);\n        }\n        this.build(generic_utils.singletonOrArray(inputShapes));\n        this.built = true;\n\n        // Load weights that were specified at layer instantiation.\n        if (this.initialWeights) {\n          this.setWeights(this.initialWeights);\n        }\n\n        if (this._refCount === null && noneAreSymbolic) {\n          // The first use of this layer is a non-symbolic call, set ref count\n          // to 1 so the Layer can be properly disposed if its dispose() method\n          // is called.\n          this._refCount = 1;\n        }\n      }\n\n      /*\n        Throw exceptions in case the input is not compatible\n        with the inputSpec set at build time.\n      */\n      this.assertInputCompatibility(inputs);\n\n      // Handle mask propagation.\n      // TODO(michaelterry): Mask propagation not currently implemented.\n\n      // Actually call the layer, collecting output(s), mask(s), and shape(s).\n      if (noneAreSymbolic) {\n        let output = this.call(inputs as Tensor | Tensor[], kwargs);\n        // TODO(michaelterry): Compute the outputMask\n\n        // If the layer returns tensors from its inputs, unmodified,\n        // we copy them to avoid loss of tensor metadata.\n        const outputList: Tensor[] = generic_utils.toList(output);\n        const outputListCopy: Tensor[] = [];\n        // TODO(michaelterry): This copying may not be necessary given our eager\n        // backend.\n        for (let x of outputList) {\n          if (inputsList.indexOf(x) !== -1) {\n            x = x.clone();\n          }\n          outputListCopy.push(x);\n        }\n        output = generic_utils.singletonOrArray(outputListCopy);\n\n        if (this.activityRegularizer != null) {\n          throw new NotImplementedError(\n              'Layer invocation in the presence of activity ' +\n              'regularizer(s) is not supported yet.');\n        }\n\n        // TODO(michaelterry): Call addInboundNode()?\n        return output;\n      } else {\n        const inputShape = collectInputShape(inputs);\n        const outputShape = this.computeOutputShape(inputShape);\n        let output: SymbolicTensor|SymbolicTensor[];\n        const outputDType = guessOutputDType(inputs);\n        this.warnOnIncompatibleInputShape(\n            Array.isArray(inputs) ? inputShape[0] as Shape :\n                                    inputShape as Shape);\n\n        if (outputShape != null && outputShape.length > 0 &&\n            Array.isArray(outputShape[0])) {\n          // We have multiple output shapes. Create multiple output tensors.\n          output = (outputShape as Shape[])\n                       .map(\n                           (shape, index) => new SymbolicTensor(\n                               outputDType, shape, this,\n                               generic_utils.toList(inputs), kwargs, this.name,\n                               index));\n        } else {\n          output = new SymbolicTensor(\n              outputDType, outputShape as Shape, this,\n              generic_utils.toList(inputs), kwargs, this.name);\n        }\n\n        /*\n          Add an inbound node to the layer, so that it keeps track\n          of the call and of all new variables created during the call.\n          This also updates the layer history of the output tensor(s).\n          If the input tensor(s) had no previous history,\n          this does nothing.\n        */\n        this.addInboundNode(\n            inputs as SymbolicTensor | SymbolicTensor[], output, null, null,\n            inputShape, outputShape, kwargs);\n        this._refCount++;\n\n        if (this.activityRegularizer != null) {\n          throw new NotImplementedError(\n              'Layer invocation in the presence of activity ' +\n              'regularizer(s) is not supported yet.');\n        }\n\n        return output;\n      }\n    });\n  }\n\n  /**\n   * Check compatibility between input shape and this layer's batchInputShape.\n   *\n   * Print warning if any incompatibility is found.\n   *\n   * @param inputShape Input shape to be checked.\n   */\n  protected warnOnIncompatibleInputShape(inputShape: Shape) {\n    if (this.batchInputShape == null) {\n      return;\n    } else if (inputShape.length !== this.batchInputShape.length) {\n      console.warn(\n          `The rank of the input tensor provided (shape: ` +\n          `${JSON.stringify(inputShape)}) does not match that of the ` +\n          `batchInputShape (${JSON.stringify(this.batchInputShape)}) ` +\n          `of the layer ${this.name}`);\n    } else {\n      let dimMismatch = false;\n      this.batchInputShape.forEach((dimension, i) => {\n        if (dimension != null && inputShape[i] != null &&\n            inputShape[i] !== dimension) {\n          dimMismatch = true;\n        }\n      });\n      if (dimMismatch) {\n        console.warn(\n            `The shape of the input tensor ` +\n            `(${JSON.stringify(inputShape)}) does not ` +\n            `match the expectation of layer ${this.name}: ` +\n            `${JSON.stringify(this.batchInputShape)}`);\n      }\n    }\n  }\n\n  /**\n   * Retrieves the output shape(s) of a layer.\n   *\n   * Only applicable if the layer has only one inbound node, or if all inbound\n   * nodes have the same output shape.\n   *\n   * @returns Output shape or shapes.\n   * @throws AttributeError: if the layer is connected to more than one incoming\n   *   nodes.\n   */\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  get outputShape(): Shape|Shape[] {\n    if (this.inboundNodes == null || this.inboundNodes.length === 0) {\n      throw new AttributeError(\n          `The layer ${this.name} has never been called and thus has no ` +\n          `defined output shape.`);\n    }\n    const allOutputShapes: string[] = [];\n    for (const node of this.inboundNodes) {\n      const shapeString = JSON.stringify(node.outputShapes);\n      if (allOutputShapes.indexOf(shapeString) === -1) {\n        allOutputShapes.push(shapeString);\n      }\n    }\n    if (allOutputShapes.length === 1) {\n      const outputShapes = this.inboundNodes[0].outputShapes;\n      if (Array.isArray(outputShapes) && Array.isArray(outputShapes[0]) &&\n          outputShapes.length === 1) {\n        return (outputShapes as Shape[])[0];\n      } else {\n        return outputShapes;\n      }\n\n    } else {\n      throw new AttributeError(\n          `The layer ${this.name} has multiple inbound nodes with different ` +\n          `output shapes. Hence the notion of \"outut shape\" is ill-defined ` +\n          `for the layer.`);\n      // TODO(cais): Implement getOutputShapeAt().\n    }\n  }\n\n  /**\n   * Counts the total number of numbers (e.g., float32, int32) in the\n   * weights.\n   *\n   * @returns An integer count.\n   * @throws RuntimeError: If the layer is not built yet (in which case its\n   *   weights are not defined yet.)\n   */\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  countParams(): number {\n    if (!this.built) {\n      throw new RuntimeError(\n          `You tried to call countParams() on ${this.name}, ` +\n          `but the layer is not built yet. Build it first by calling ` +\n          `build(batchInputShape).`);\n    }\n    return variable_utils.countParamsInWeights(this.weights);\n  }\n\n  /**\n   * Creates the layer weights.\n   *\n   * Must be implemented on all layers that have weights.\n   *\n   * Called when apply() is called to construct the weights.\n   *\n   * @param inputShape A `Shape` or array of `Shape` (unused).\n   */\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  build(inputShape: Shape|Shape[]) {\n    this.built = true;\n  }\n\n  /**\n   * Returns the current values of the weights of the layer.\n   *\n   * @param trainableOnly Whether to get the values of only trainable weights.\n   * @returns Weight values as an `Array` of `tf.Tensor`s.\n   */\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  getWeights(trainableOnly = false): Tensor[] {\n    return batchGetValue(trainableOnly ? this.trainableWeights : this.weights);\n  }\n\n  /**\n   * Sets the weights of the layer, from Tensors.\n   *\n   * @param weights a list of Tensors. The number of arrays and their shape\n   *   must match number of the dimensions of the weights of the layer (i.e.\n   *   it should match the output of `getWeights`).\n   *\n   * @exception ValueError If the provided weights list does not match the\n   *   layer's specifications.\n   */\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  setWeights(weights: Tensor[]): void {\n    tidy(() => {\n      const params = this.weights;\n      if (params.length !== weights.length) {\n        // TODO(cais): Restore the following and use `providedWeights`, instead\n        // of `weights` in the error message, once the deeplearn.js bug is\n        // fixed: https://github.com/PAIR-code/deeplearnjs/issues/498 const\n        // providedWeights = JSON.stringify(weights).substr(0, 50);\n        throw new ValueError(\n            `You called setWeights(weights) on layer \"${this.name}\" ` +\n            `with a weight list of length ${weights.length}, ` +\n            `but the layer was expecting ${params.length} weights. ` +\n            `Provided weights: ${weights}...`);\n      }\n      if (params.length === 0) {\n        return;\n      }\n      const weightValueTuples: Array<[LayerVariable, Tensor]> = [];\n      const paramValues = batchGetValue(params);\n      for (let i = 0; i < paramValues.length; ++i) {\n        const pv = paramValues[i];\n        const p = params[i];\n        const w = weights[i];\n        if (!util.arraysEqual(pv.shape, w.shape)) {\n          throw new ValueError(\n              `Layer weight shape ${pv.shape} ` +\n              `not compatible with provided weight shape ${w.shape}`);\n        }\n        weightValueTuples.push([p, w]);\n      }\n      batchSetValue(weightValueTuples);\n    });\n  }\n\n  /**\n   * Adds a weight variable to the layer.\n   *\n   * @param name Name of the new weight variable.\n   * @param shape The shape of the weight.\n   * @param dtype The dtype of the weight.\n   * @param initializer An initializer instance.\n   * @param regularizer A regularizer instance.\n   * @param trainable Whether the weight should be trained via backprop or not\n   *   (assuming that the layer itself is also trainable).\n   * @param constraint An optional trainable.\n   * @return The created weight variable.\n   */\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  protected addWeight(\n      name: string, shape: Shape, dtype?: DataType, initializer?: Initializer,\n      regularizer?: Regularizer, trainable?: boolean,\n      constraint?: Constraint): LayerVariable {\n    // Reject duplicate weight names.\n    if (this._addedWeightNames.indexOf(name) !== -1) {\n      throw new ValueError(\n          `Duplicate weight name ${name} for layer ${this.name}`);\n    }\n    this._addedWeightNames.push(name);\n\n    if (dtype == null) {\n      dtype = 'float32';\n    }\n\n    if (this.fastWeightInitDuringBuild) {\n      initializer = getInitializer('zeros');\n    }\n    const initValue = initializer.apply(shape, dtype);\n    const weight =\n        new LayerVariable(initValue, dtype, name, trainable, constraint);\n    initValue.dispose();\n    // Request backend not to dispose the weights of the model on scope() exit.\n    if (regularizer != null) {\n      this.addLoss(() => regularizer.apply(weight.read()));\n    }\n    if (trainable == null) {\n      trainable = true;\n    }\n    if (trainable) {\n      this._trainableWeights.push(weight);\n    } else {\n      this._nonTrainableWeights.push(weight);\n    }\n    return weight;\n  }\n\n  /**\n   * Set the fast-weight-initialization flag.\n   *\n   * In cases where the initialized weight values will be immediately\n   * overwritten by loaded weight values during model loading, setting\n   * the flag to `true` saves unnecessary calls to potentially expensive\n   * initializers and speeds up the loading process.\n   *\n   * @param value Target value of the flag.\n   */\n  setFastWeightInitDuringBuild(value: boolean) {\n    this.fastWeightInitDuringBuild = value;\n  }\n\n  /**\n   * Add losses to the layer.\n   *\n   * The loss may potentionally be conditional on some inputs tensors,\n   * for instance activity losses are conditional on the layer's inputs.\n   */\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  addLoss(losses: RegularizerFn|RegularizerFn[]): void {\n    if (losses == null || Array.isArray(losses) && losses.length === 0) {\n      return;\n    }\n    // Update this.losses\n    losses = generic_utils.toList(losses);\n    if (this._losses !== undefined && this._losses !== null) {\n      this.losses.push(...losses);\n    }\n  }\n\n  /**\n   * Computes the output shape of the layer.\n   *\n   * Assumes that the layer will be built to match that input shape provided.\n   *\n   * @param inputShape A shape (tuple of integers) or a list of shape tuples\n   *   (one per output tensor of the layer). Shape tuples can include null for\n   *   free dimensions, instead of an integer.\n   */\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    return inputShape;\n  }\n\n  /**\n   * Computes an output mask tensor.\n   *\n   * @param inputs Tensor or list of tensors.\n   * @param mask Tensor or list of tensors.\n   *\n   * @return null or a tensor (or list of tensors, one per output tensor of the\n   * layer).\n   */\n  computeMask(inputs: Tensor|Tensor[], mask?: Tensor|Tensor[]): Tensor\n      |Tensor[] {\n    if (!this.supportsMasking) {\n      if (mask != null) {\n        if (Array.isArray(mask)) {\n          mask.forEach(maskElement => {\n            if (maskElement != null) {\n              throw new TypeError(\n                  `Layer ${this.name} does not support masking, ` +\n                  'but was passed an inputMask.');\n            }\n          });\n        } else {\n          throw new TypeError(\n              `Layer ${this.name} does not support masking, ` +\n              'but was passed an inputMask.');\n        }\n      }\n      // masking not explicitly supported: return null as mask\n      return null;\n    }\n    // if masking is explictly supported, by default\n    // carry over the input mask\n    return mask;\n  }\n\n  /**\n   * Internal method to create an inbound node for the layer.\n   *\n   * @param inputTensors List of input tensors.\n   * @param outputTensors List of output tensors.\n   * @param inputMasks List of input masks (a mask can be a tensor, or null).\n   * @param outputMasks List of output masks (a mask can be a tensor, or null).\n   * @param inputShapes List of input shape tuples.\n   * @param outputShapes List of output shape tuples.\n   * @param kwargs Dictionary of keyword arguments that were passed to the\n   *   `call` method of the layer at the call that created the node.\n   */\n  private addInboundNode(\n      inputTensors: SymbolicTensor|SymbolicTensor[],\n      outputTensors: SymbolicTensor|SymbolicTensor[],\n      inputMasks: Tensor|Tensor[], outputMasks: Tensor|Tensor[],\n      inputShapes: Shape|Shape[], outputShapes: Shape|Shape[],\n      kwargs: {} = null): void {\n    const inputTensorList: SymbolicTensor[] =\n        generic_utils.toList(inputTensors);\n    outputTensors = generic_utils.toList(outputTensors);\n    inputMasks = generic_utils.toList(inputMasks);\n    outputMasks = generic_utils.toList(outputMasks);\n    inputShapes = types_utils.normalizeShapeList(inputShapes);\n    outputShapes = types_utils.normalizeShapeList(outputShapes);\n\n    // Collect input tensor(s) coordinates.\n    const inboundLayers: Layer[] = [];\n    const nodeIndices: number[] = [];\n    const tensorIndices: number[] = [];\n    for (const x of inputTensorList) {\n      /*\n       * TODO(michaelterry): Keras adds this value to tensors; it's not\n       * clear whether we'll use this or not.\n       */\n      inboundLayers.push(x.sourceLayer);\n      nodeIndices.push(x.nodeIndex);\n      tensorIndices.push(x.tensorIndex);\n    }\n\n    // Create node, add it to inbound nodes.\n    // (This call has side effects.)\n    // tslint:disable-next-line:no-unused-expression\n    new Node(\n        {\n          outboundLayer: this,\n          inboundLayers,\n          nodeIndices,\n          tensorIndices,\n          inputTensors: inputTensorList,\n          outputTensors,\n          inputMasks,\n          outputMasks,\n          inputShapes,\n          outputShapes\n        },\n        kwargs);\n\n    // Update tensor history\n    for (let i = 0; i < outputTensors.length; i++) {\n      // TODO(michaelterry: _uses_learning_phase not tracked.\n      outputTensors[i].sourceLayer = this;\n      outputTensors[i].nodeIndex = this.inboundNodes.length - 1;\n      outputTensors[i].tensorIndex = i;\n    }\n  }\n\n  /**\n   * Returns the config of the layer.\n   *\n   * A layer config is a TS dictionary (serializable)\n   * containing the configuration of a layer.\n   * The same layer can be reinstantiated later\n   * (without its trained weights) from this configuration.\n   *\n   * The config of a layer does not include connectivity\n   * information, nor the layer class name.  These are handled\n   * by 'Container' (one layer of abstraction above).\n   *\n   * Porting Note: The TS dictionary follows TS naming standrds for\n   * keys, and uses tfjs-layers type-safe Enums.  Serialization methods\n   * should use a helper function to convert to the pythonic storage\n   * standard. (see serialization_utils.convertTsToPythonic)\n   *\n   * @returns TS dictionary of configuration.\n   */\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  getConfig(): serialization.ConfigDict {\n    const config:\n        serialization.ConfigDict = {name: this.name, trainable: this.trainable};\n    if (this.batchInputShape != null) {\n      config['batchInputShape'] = this.batchInputShape;\n    }\n    if (this.dtype != null) {\n      config['dtype'] = this.dtype;\n    }\n    return config;\n  }\n\n  /**\n   * Dispose the weight variables that this Layer instance holds.\n   *\n   * @returns {number} Number of disposed variables.\n   */\n  protected disposeWeights(): number {\n    this.weights.forEach(weight => weight.dispose());\n    return this.weights.length;\n  }\n\n  protected assertNotDisposed() {\n    if (this._refCount === 0) {\n      throw new Error(`Layer '${this.name}' is already disposed.`);\n    }\n  }\n\n  /**\n   * Attempt to dispose layer's weights.\n   *\n   * This method decrease the reference count of the Layer object by 1.\n   *\n   * A Layer is reference-counted. Its reference count is incremented by 1\n   * the first item its `apply()` method is called and when it becomes a part\n   * of a new `Node` (through calling the `apply()`) method on a\n   * `tf.SymbolicTensor`).\n   *\n   * If the reference count of a Layer becomes 0, all the weights will be\n   * disposed and the underlying memory (e.g., the textures allocated in WebGL)\n   * will be freed.\n   *\n   * Note: If the reference count is greater than 0 after the decrement, the\n   * weights of the Layer will *not* be disposed.\n   *\n   * After a Layer is disposed, it cannot be used in calls such as `apply()`,\n   * `getWeights()` or `setWeights()` anymore.\n   *\n   * @returns A DisposeResult Object with the following fields:\n   *   - refCountAfterDispose: The reference count of the Container after this\n   *     `dispose()` call.\n   *   - numDisposedVariables: Number of `tf.Variable`s (i.e., weights) disposed\n   *     during this `dispose()` call.\n   * @throws {Error} If the layer is not built yet, or if the layer has already\n   *   been disposed.\n   */\n  /** @doc {heading: 'Models', 'subheading': 'Classes'} */\n  dispose(): DisposeResult {\n    if (!this.built) {\n      throw new Error(\n          `Cannot dispose Layer ${this.name} because it has not been ` +\n          `built yet.`);\n    }\n\n    if (this._refCount === null) {\n      throw new Error(\n          `Cannot dispose Layer ${this.name} because it has not been used ` +\n          `yet.`);\n    }\n\n    this.assertNotDisposed();\n\n    let numDisposedVariables = 0;\n    if (--this._refCount === 0) {\n      numDisposedVariables = this.disposeWeights();\n    }\n\n    return {refCountAfterDispose: this._refCount, numDisposedVariables};\n  }\n}\n\n/**\n * Collects the input shape(s) of a list of `tf.Tensor`s or\n * `tf.SymbolicTensor`s.\n *\n * TODO(michaelterry): Update PyKeras docs (backport).\n *\n * @param inputTensors List of input tensors (or single input tensor).\n *\n * @return List of shape tuples (or single tuple), one tuple per input.\n */\nfunction collectInputShape(inputTensors: SymbolicTensor|SymbolicTensor[]|Tensor|\n                           Tensor[]): Shape|Shape[] {\n  inputTensors =\n      generic_utils.toList(inputTensors) as SymbolicTensor[] | Tensor[];\n  const shapes: Shape[] = [];\n  for (const x of inputTensors) {\n    shapes.push(x.shape);\n  }\n  return generic_utils.singletonOrArray(shapes);\n}\n\n/**\n * Guesses output dtype based on inputs.\n *\n * At present, just returns 'float32' for any input.\n *\n * @param inputTensors List of input tensors (or single input tensor).\n *\n * @return The guessed DType. At present, always returns 'float32'.\n */\nfunction guessOutputDType(inputTensors: SymbolicTensor|SymbolicTensor[]|Tensor|\n                          Tensor[]): DataType {\n  return 'float32';\n}\n\n/**\n * Returns the list of input tensors necessary to compute `tensor`.\n *\n * Output will always be a list of tensors (potentially with 1 element).\n *\n * @param tensor The tensor to start from.\n * @param layer Origin layer of the tensor.\n * @param nodeIndex Origin node index of the tensor.\n *\n * @return Array of input tensors.\n */\nexport function getSourceInputs(\n    tensor: SymbolicTensor, layer?: Layer,\n    nodeIndex?: number): SymbolicTensor[] {\n  if (layer == null || (nodeIndex != null && nodeIndex > 0)) {\n    layer = tensor.sourceLayer;\n    nodeIndex = tensor.nodeIndex;\n  }\n  if (layer.inboundNodes.length === 0) {\n    return [tensor];\n  } else {\n    const node = layer.inboundNodes[nodeIndex];\n    if (node.inboundLayers.length === 0) {\n      return node.inputTensors;\n    } else {\n      const sourceTensors: SymbolicTensor[] = [];\n      for (let i = 0; i < node.inboundLayers.length; i++) {\n        const x = node.inputTensors[i];\n        const layer = node.inboundLayers[i];\n        const nodeIndex = node.nodeIndices[i];\n        const previousSources = getSourceInputs(x, layer, nodeIndex);\n        // Avoid input redundancy.\n        for (const x of previousSources) {\n          if (sourceTensors.indexOf(x) === -1) {\n            sourceTensors.push(x);\n          }\n        }\n      }\n      return sourceTensors;\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original source: keras/callbacks.py */\n\nimport {add, div, keep, mul, nextFrame, Scalar, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {Container} from './engine/container';\nimport {ValueError} from './errors';\nimport {Logs, resolveScalarsInLogs, UnresolvedLogs} from './logs';\nimport * as generic_utils from './utils/generic_utils';\n\n/** Verbosity logging level when fitting a model. */\nexport enum ModelLoggingVerbosity {\n  SILENT = 0,\n  VERBOSE = 1\n}\n\n/** How often to yield to the main thread when training (in ms). */\nexport const DEFAULT_YIELD_EVERY_MS = 125;\n\nexport type Params = {\n  [key: string]: number|string|boolean|number[]|string[]|boolean[];\n};\n\nexport type YieldEveryOptions = 'auto'|'batch'|'epoch'|'never'|number;\n\n/**\n * Abstract base class used to build new callbacks.\n *\n * The `logs` dictionary that callback methods take as argument will contain\n * keys for quantities relevant to the current batch or epoch.\n *\n * Currently, the `.fit()` method of the `Sequential` model class\n * will include the following quantities in the `logs` that\n * it passes to its callbacks:\n *\n * onEpochEnd: Logs include `acc` and `loss`, and optionally include `valLoss`\n *   (if validation is enabled in `fit`), and `valAcc` (if validation and\n *   accuracy monitoring are enabled).\n * onBatchBegin: Logs include `size`, the number of samples in the current\n *   batch.\n * onBatchEnd: Logs include `loss`, and optionally `acc` (if accuracy monitoring\n *   is enabled).\n */\nexport abstract class BaseCallback {\n  // TODO(michaelterry): This type is a best guess.\n  validationData: Tensor|Tensor[] = null;\n  /**\n   * Training parameters (eg. verbosity, batch size, number of epochs...).\n   */\n  params: Params;\n\n  setParams(params: Params): void {\n    this.params = params;\n  }\n\n  async onEpochBegin(epoch: number, logs?: UnresolvedLogs) {}\n\n  async onEpochEnd(epoch: number, logs?: UnresolvedLogs) {}\n\n  async onBatchBegin(batch: number, logs?: UnresolvedLogs) {}\n\n  async onBatchEnd(batch: number, logs?: UnresolvedLogs) {}\n\n  async onTrainBegin(logs?: UnresolvedLogs) {}\n\n  async onTrainEnd(logs?: UnresolvedLogs) {}\n\n  // LayersModel needs to call Callback.setModel(), but cannot actually depend\n  // on Callback because that creates a cyclic dependency.  Providing this no-op\n  // method on BaseCallback breaks the cycle: this way LayersModel can depend on\n  // BaseCallback but not on Callback.  The argument is typed as `Container`\n  // (the superclass of LayersModel) to avoid recapitulating the cycle. Callback\n  // overrides this method and enforces that the argument is really a\n  // LayersModel.\n  setModel(model: Container): void {\n    // Do nothing. Use Callback instead of BaseCallback to track the model.\n  }\n}\n\n/**\n * Container abstracting a list of callbacks.\n */\nexport class CallbackList {\n  callbacks: BaseCallback[];\n  queueLength: number;\n\n  // TODO(cais): When the need arises, uncomment the following lines and\n  // implement the queue for time values.\n  // private deltaTBatch: number;\n  // private deltaTsBatchBegin: Array<number>;\n  // private deltaTsBatchEnd: Array<number>;\n\n  /**\n   * Constructor of CallbackList.\n   * @param callbacks Array of `Callback` instances.\n   * @param queueLength Queue length for keeping running statistics over\n   *   callback execution time.\n   */\n  constructor(callbacks?: BaseCallback[], queueLength = 10) {\n    // TODO(cais): Make use of queueLength when implementing the queue for time\n    // values.\n    if (callbacks == null) {\n      callbacks = [];\n    }\n    this.callbacks = callbacks;\n    this.queueLength = queueLength;\n  }\n\n  append(callback: BaseCallback): void {\n    this.callbacks.push(callback);\n  }\n\n  setParams(params: Params): void {\n    for (const callback of this.callbacks) {\n      callback.setParams(params);\n    }\n  }\n\n  setModel(model: Container): void {\n    for (const callback of this.callbacks) {\n      callback.setModel(model);\n    }\n  }\n\n  /**\n   * Called at the start of an epoch.\n   * @param epoch Index of epoch.\n   * @param logs Dictionary of logs.\n   */\n  async onEpochBegin(epoch: number, logs?: UnresolvedLogs) {\n    if (logs == null) {\n      logs = {};\n    }\n    for (const callback of this.callbacks) {\n      await callback.onEpochBegin(epoch, logs);\n    }\n  }\n\n  /**\n   * Called at the end of an epoch.\n   * @param epoch Index of epoch.\n   * @param logs Dictionary of logs.\n   */\n  async onEpochEnd(epoch: number, logs?: UnresolvedLogs) {\n    if (logs == null) {\n      logs = {};\n    }\n    for (const callback of this.callbacks) {\n      await callback.onEpochEnd(epoch, logs);\n    }\n  }\n\n  /**\n   * Called  right before processing a batch.\n   * @param batch Index of batch within the current epoch.\n   * @param logs Dictionary of logs.\n   */\n  async onBatchBegin(batch: number, logs?: UnresolvedLogs) {\n    if (logs == null) {\n      logs = {};\n    }\n    for (const callback of this.callbacks) {\n      await callback.onBatchBegin(batch, logs);\n    }\n  }\n\n  /**\n   * Called at the end of a batch.\n   * @param batch Index of batch within the current epoch.\n   * @param logs Dictionary of logs.\n   */\n  async onBatchEnd(batch: number, logs?: UnresolvedLogs) {\n    if (logs == null) {\n      logs = {};\n    }\n    for (const callback of this.callbacks) {\n      await callback.onBatchEnd(batch, logs);\n    }\n  }\n\n  /**\n   * Called at the beginning of training.\n   * @param logs Dictionary of logs.\n   */\n  async onTrainBegin(logs?: UnresolvedLogs) {\n    if (logs == null) {\n      logs = {};\n    }\n    for (const callback of this.callbacks) {\n      await callback.onTrainBegin(logs);\n    }\n  }\n\n  /**\n   * Called at the end of training.\n   * @param logs Dictionary of logs.\n   */\n  async onTrainEnd(logs?: UnresolvedLogs) {\n    if (logs == null) {\n      logs = {};\n    }\n    for (const callback of this.callbacks) {\n      await callback.onTrainEnd(logs);\n    }\n  }\n}\n\n/**\n * Callback that accumulates epoch averages of metrics.\n *\n * This callback is automatically applied to every LayersModel.\n */\nexport class BaseLogger extends BaseCallback {\n  private seen: number;\n  private totals: UnresolvedLogs;\n\n  constructor() {\n    super();\n  }\n\n  async onEpochBegin(epoch: number) {\n    this.seen = 0;\n    this.totals = {};\n  }\n\n  async onBatchEnd(batch: number, logs?: UnresolvedLogs) {\n    if (logs == null) {\n      logs = {};\n    }\n    const batchSize = logs['size'] == null ? 0 : logs['size'] as number;\n    this.seen += batchSize;\n    for (const key in logs) {\n      const value = logs[key];\n      if (typeof value === 'number') {\n        if (!this.totals.hasOwnProperty(key)) {\n          this.totals[key] = 0;\n        }\n        this.totals[key] = this.totals[key] as number + value * batchSize;\n      } else {\n        let oldTotalsToDispose: Scalar;\n        if (key in this.totals) {\n          oldTotalsToDispose = this.totals[key] as Scalar;\n        } else {\n          this.totals[key] = 0;\n        }\n        const total: Scalar =\n            tidy(() => add((this.totals[key]), mul(value, batchSize)));\n        this.totals[key] = total;\n        if (oldTotalsToDispose != null) {\n          oldTotalsToDispose.dispose();\n        }\n      }\n    }\n  }\n\n  async onEpochEnd(epoch: number, logs?: UnresolvedLogs) {\n    if (logs != null) {\n      for (const key of this.params['metrics'] as string[]) {\n        if (this.totals[key] == null) {\n          continue;\n        }\n        if (typeof this.totals[key] === 'number') {\n          logs[key] = this.totals[key] as number / this.seen;\n        } else {\n          tidy(() => {\n            const log: Scalar = mul(div(1, this.seen), this.totals[key]);\n            logs[key] = log;\n            (this.totals[key] as Tensor).dispose();\n            keep(logs[key] as Scalar);\n          });\n        }\n      }\n    }\n  }\n}\n\n/**\n * Callback that records events into a `History` object. This callback is\n * automatically applied to every TF.js Layers model. The `History` object\n * gets returned by the `fit` method of models.\n */\nexport class History extends BaseCallback {\n  epoch: number[];\n  history: {[key: string]: Array<number|Tensor>};\n\n  async onTrainBegin(logs?: UnresolvedLogs) {\n    this.epoch = [];\n    this.history = {};\n  }\n\n  async onEpochEnd(epoch: number, logs?: UnresolvedLogs) {\n    if (logs == null) {\n      logs = {};\n    }\n    this.epoch.push(epoch);\n    for (const key in logs) {\n      if (this.history[key] == null) {\n        this.history[key] = [];\n      }\n      this.history[key].push(logs[key]);\n    }\n  }\n\n  /**\n   * Await the values of all losses and metrics.\n   */\n  async syncData() {\n    const promises: Array<Promise<Float32Array|Int32Array|Uint8Array>> = [];\n    const keys: string[] = [];\n    const indices: number[] = [];\n    for (const key in this.history) {\n      const valueArray = this.history[key];\n      for (let i = 0; i < valueArray.length; ++i) {\n        if (typeof valueArray[i] !== 'number') {\n          const valueScalar = valueArray[i] as Tensor;\n          promises.push(valueScalar.data());\n          keys.push(key);\n          indices.push(i);\n        }\n      }\n    }\n    const values = await Promise.all(promises);\n    for (let n = 0; n < values.length; ++n) {\n      const tensorToDispose = this.history[keys[n]][indices[n]] as Tensor;\n      tensorToDispose.dispose();\n      this.history[keys[n]][indices[n]] = values[n][0];\n    }\n  }\n}\n\nexport interface CustomCallbackArgs {\n  onTrainBegin?: (logs?: Logs) => void | Promise<void>;\n  onTrainEnd?: (logs?: Logs) => void | Promise<void>;\n  onEpochBegin?: (epoch: number, logs?: Logs) => void | Promise<void>;\n  onEpochEnd?: (epoch: number, logs?: Logs) => void | Promise<void>;\n  onBatchBegin?: (batch: number, logs?: Logs) => void | Promise<void>;\n  onBatchEnd?: (batch: number, logs?: Logs) => void | Promise<void>;\n  onYield?: (epoch: number, batch: number, logs: Logs) => void | Promise<void>;\n}\n\n/**\n * Custom callback for training.\n */\nexport class CustomCallback extends BaseCallback {\n  protected readonly trainBegin: (logs?: Logs) => void | Promise<void>;\n  protected readonly trainEnd: (logs?: Logs) => void | Promise<void>;\n  protected readonly epochBegin:\n      (epoch: number, logs?: Logs) => void | Promise<void>;\n  protected readonly epochEnd:\n      (epoch: number, logs?: Logs) => void | Promise<void>;\n  protected readonly batchBegin:\n      (batch: number, logs?: Logs) => void | Promise<void>;\n  protected readonly batchEnd:\n      (batch: number, logs?: Logs) => void | Promise<void>;\n  protected readonly yield:\n      (epoch: number, batch: number, logs: Logs) => void | Promise<void>;\n\n  private yieldEvery: YieldEveryOptions;\n  private currentEpoch = 0;\n\n  constructor(args: CustomCallbackArgs, yieldEvery?: YieldEveryOptions) {\n    super();\n    this.yieldEvery = yieldEvery || 'auto';\n    if (this.yieldEvery === 'auto') {\n      this.yieldEvery = DEFAULT_YIELD_EVERY_MS;\n    }\n    if (this.yieldEvery === 'never' && args.onYield != null) {\n      throw new Error(\n          'yieldEvery is `never` but you provided an `onYield` callback. ' +\n          'Either change `yieldEvery` or remove the callback');\n    }\n    if (util.isNumber(this.yieldEvery)) {\n      // Decorate `maybeWait` so it will be called at most once every\n      // `yieldEvery` ms.\n      this.maybeWait = generic_utils.debounce(\n          this.maybeWait.bind(this), this.yieldEvery as number);\n    }\n    this.trainBegin = args.onTrainBegin;\n    this.trainEnd = args.onTrainEnd;\n    this.epochBegin = args.onEpochBegin;\n    this.epochEnd = args.onEpochEnd;\n    this.batchBegin = args.onBatchBegin;\n    this.batchEnd = args.onBatchEnd;\n    this.yield = args.onYield;\n  }\n\n  async maybeWait(epoch: number, batch: number, logs: UnresolvedLogs) {\n    const ps: Array<void|Promise<void>> = [];\n    if (this.yield != null) {\n      await resolveScalarsInLogs(logs);\n      ps.push(this.yield(epoch, batch, logs as Logs));\n    }\n    ps.push(nextFrame());\n    await Promise.all(ps);\n  }\n\n  async onEpochBegin(epoch: number, logs?: UnresolvedLogs): Promise<void> {\n    this.currentEpoch = epoch;\n    if (this.epochBegin != null) {\n      await resolveScalarsInLogs(logs);\n      await this.epochBegin(epoch, logs as Logs);\n    }\n  }\n\n  async onEpochEnd(epoch: number, logs?: UnresolvedLogs): Promise<void> {\n    const ps: Array<void|Promise<void>> = [];\n    if (this.epochEnd != null) {\n      await resolveScalarsInLogs(logs);\n      ps.push(this.epochEnd(epoch, logs as Logs));\n    }\n    if (this.yieldEvery === 'epoch') {\n      ps.push(nextFrame());\n    }\n    await Promise.all(ps);\n  }\n\n  async onBatchBegin(batch: number, logs?: UnresolvedLogs): Promise<void> {\n    if (this.batchBegin != null) {\n      await resolveScalarsInLogs(logs);\n      await this.batchBegin(batch, logs as Logs);\n    }\n  }\n\n  async onBatchEnd(batch: number, logs?: UnresolvedLogs): Promise<void> {\n    const ps: Array<void|Promise<void>> = [];\n    if (this.batchEnd != null) {\n      await resolveScalarsInLogs(logs);\n      ps.push(this.batchEnd(batch, logs as Logs));\n    }\n    if (this.yieldEvery === 'batch') {\n      ps.push(nextFrame());\n    } else if (util.isNumber(this.yieldEvery)) {\n      ps.push(this.maybeWait(this.currentEpoch, batch, logs));\n    }\n    await Promise.all(ps);\n  }\n\n  async onTrainBegin(logs?: UnresolvedLogs): Promise<void> {\n    if (this.trainBegin != null) {\n      await resolveScalarsInLogs(logs);\n      await this.trainBegin(logs as Logs);\n    }\n  }\n\n  async onTrainEnd(logs?: UnresolvedLogs): Promise<void> {\n    if (this.trainEnd != null) {\n      await resolveScalarsInLogs(logs);\n      await this.trainEnd(logs as Logs);\n    }\n  }\n}\n\n/**\n * Standardize callbacks or configurations of them to an Array of callbacks.\n */\nexport function standardizeCallbacks(\n    callbacks: BaseCallback|BaseCallback[]|CustomCallbackArgs|\n    CustomCallbackArgs[],\n    yieldEvery: YieldEveryOptions): BaseCallback[] {\n  if (callbacks == null) {\n    callbacks = {} as BaseCallback;\n  }\n  if (callbacks instanceof BaseCallback) {\n    return [callbacks];\n  }\n  if (Array.isArray(callbacks) && callbacks[0] instanceof BaseCallback) {\n    return callbacks as BaseCallback[];\n  }\n  // Convert custom callback configs to custom callback objects.\n  const callbackConfigs =\n      generic_utils.toList(callbacks) as CustomCallbackArgs[];\n  return callbackConfigs.map(\n      callbackConfig => new CustomCallback(callbackConfig, yieldEvery));\n}\n\nexport declare type BaseCallbackConstructor = {\n  new (): BaseCallback\n};\n\n/**\n * A global registry for callback constructors to be used during\n * LayersModel.fit().\n */\nexport class CallbackConstructorRegistry {\n  private static constructors:\n      {[verbosityLevel: number]: BaseCallbackConstructor[]} = {};\n\n  /**\n   * Blocks public access to constructor.\n   */\n  private constructor() {}\n\n  /**\n   * Register a tf.LayersModel.fit() callback constructor.\n   *\n   * The registered callback constructor will be used to instantiate\n   * callbacks for every tf.LayersModel.fit() call afterwards.\n   *\n   * @param verbosityLevel Level of verbosity at which the `callbackConstructor`\n   *   is to be reigstered.\n   * @param callbackConstructor A no-arg constructor for `tf.Callback`.\n   * @throws Error, if the same callbackConstructor has been registered before,\n   *   either at the same or a different `verbosityLevel`.\n   */\n  static registerCallbackConstructor(\n      verbosityLevel: number, callbackConstructor: BaseCallbackConstructor) {\n    util.assert(\n        verbosityLevel >= 0 && Number.isInteger(verbosityLevel),\n        () => `Verbosity level is expected to be an integer >= 0, ` +\n            `but got ${verbosityLevel}`);\n    CallbackConstructorRegistry.checkForDuplicate(callbackConstructor);\n    if (CallbackConstructorRegistry.constructors[verbosityLevel] == null) {\n      CallbackConstructorRegistry.constructors[verbosityLevel] = [];\n    }\n    CallbackConstructorRegistry.constructors[verbosityLevel].push(\n        callbackConstructor);\n  }\n\n  private static checkForDuplicate(callbackConstructor:\n                                       BaseCallbackConstructor) {\n    for (const levelName in CallbackConstructorRegistry.constructors) {\n      const constructors = CallbackConstructorRegistry.constructors[+levelName];\n      constructors.forEach(ctor => {\n        if (ctor === callbackConstructor) {\n          throw new ValueError('Duplicate callback constructor.');\n        }\n      });\n    }\n  }\n\n  /**\n   * Clear all registered callback constructors.\n   */\n  protected static clear() {\n    CallbackConstructorRegistry.constructors = {};\n  }\n\n  /**\n   * Create callbacks using the registered callback constructors.\n   *\n   * Given `verbosityLevel`, all constructors registered at that level or above\n   * will be called and the instantiated callbacks will be used.\n   *\n   * @param verbosityLevel: Level of verbosity.\n   */\n  static createCallbacks(verbosityLevel: number): BaseCallback[] {\n    const constructors: BaseCallbackConstructor[] = [];\n    for (const levelName in CallbackConstructorRegistry.constructors) {\n      const level = +levelName;\n      if (verbosityLevel >= level) {\n        constructors.push(...CallbackConstructorRegistry.constructors[level]);\n      }\n    }\n    return constructors.map(ctor => new ctor());\n  }\n}\n\nexport function configureCallbacks(\n    callbacks: BaseCallback[], verbose: ModelLoggingVerbosity, epochs: number,\n    initialEpoch: number, numTrainSamples: number, stepsPerEpoch: number,\n    batchSize: number, doValidation: boolean,\n    callbackMetrics: string[]): {callbackList: CallbackList, history: History} {\n  const history = new History();\n  const actualCallbacks: BaseCallback[] = [\n    new BaseLogger(), ...CallbackConstructorRegistry.createCallbacks(verbose)\n  ];\n  if (callbacks != null) {\n    actualCallbacks.push(...callbacks);\n  }\n  actualCallbacks.push(history);\n  const callbackList = new CallbackList(actualCallbacks);\n\n  // TODO(cais): Figure out when this LayersModel instance can have a\n  // dynamically\n  //   set property called 'callback_model' as in PyKeras.\n\n  callbackList.setParams({\n    epochs,\n    initialEpoch,\n    samples: numTrainSamples,\n    steps: stepsPerEpoch,\n    batchSize,\n    verbose,\n    doValidation,\n    metrics: callbackMetrics,\n  });\n  return {callbackList, history};\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport {DataType, serialization, Tensor} from '@tensorflow/tfjs-core';\n\nimport {getUid} from '../backend/state';\nimport {ValueError} from '../errors';\nimport {Shape} from '../keras_format/common';\nimport {Kwargs} from '../types';\n\nimport {DisposeResult, Layer, Node, SymbolicTensor} from './topology';\n\n/**\n * Constructor arguments for InputLayer.\n *\n * Note: You should provide only inputShape or batchInputShape (not both).\n * If only inputShape is provided, then the batchInputShape is determined by\n * the batchSize argument and the inputShape: [batchSize].concat(inputShape).\n */\nexport declare interface InputLayerArgs {\n  /** Input shape, not including the batch axis. */\n  inputShape?: Shape;\n  /** Optional input batch size (integer or null). */\n  batchSize?: number;\n  /** Batch input shape, including the batch axis. */\n  batchInputShape?: Shape;\n  /** Datatype of the input.  */\n  dtype?: DataType;\n  /**\n   * Whether the placeholder created is meant to be sparse.\n   */\n  sparse?: boolean;  // TODO(michaelterry): Not clear whether we'll need this.\n\n  /** Name of the layer. */\n  name?: string;\n}\n\nexport class InputLayer extends Layer {\n  /** @nocollapse */\n  static readonly className = 'InputLayer';\n  sparse: boolean;\n  constructor(args: InputLayerArgs) {\n    super({\n      dtype: args.dtype,\n      name: args.name != null ? args.name : getUid('input').toString()\n    });\n    // Normalize config.batchSize and config.sparse\n    if (args.batchSize == null) {\n      args.batchSize = null;\n    }\n    if (args.sparse == null) {\n      args.sparse = false;\n    }\n\n    this.trainable = false;\n    this.built = true;\n    this.sparse = args.sparse;\n\n    if (args.inputShape != null && args.batchInputShape != null) {\n      throw new ValueError(\n          'Only provide the inputShape OR ' +\n          'batchInputShape argument to inputLayer, not both at the same time.');\n    }\n    let batchInputShape = args.batchInputShape;\n    if (batchInputShape == null) {\n      if (args.inputShape == null) {\n        throw new ValueError(\n            'An InputLayer should be passed either a ' +\n            '`batchInputShape` or an `inputShape`.');\n      } else {\n        batchInputShape = [args.batchSize].concat(args.inputShape);\n      }\n    } else {\n      // TODO(michaelterry): Backport to PyKeras\n      if (args.batchSize != null) {\n        throw new ValueError(\n            'Cannot specify batchSize if batchInputShape is ' +\n            'specified when creating an InputLayer.');\n      }\n    }\n\n    const dtype = args.dtype || 'float32';\n\n    this.batchInputShape = batchInputShape;\n    this.dtype = dtype;\n    // TODO(michaelterry): Backport this to PyKeras?\n    this.inputSpec = [{shape: batchInputShape}];\n\n    const inputTensor = new SymbolicTensor(\n        this.dtype, this.batchInputShape, this, [], {}, this.name);\n    inputTensor.nodeIndex = 0;\n    inputTensor.tensorIndex = 0;\n\n    // Create an input node to add to this.outboundNode.\n    // (This call has side effects.)\n    // tslint:disable-next-line:no-unused-expression\n    new Node({\n      outboundLayer: this,\n      inboundLayers: [],\n      nodeIndices: [],\n      tensorIndices: [],\n      inputTensors: [inputTensor],\n      outputTensors: [inputTensor],\n      inputMasks: [null],\n      outputMasks: [null],\n      inputShapes: [batchInputShape],\n      outputShapes: [batchInputShape]\n    });\n  }\n\n  apply(\n      inputs: Tensor|Tensor[]|SymbolicTensor|SymbolicTensor[],\n      kwargs?: Kwargs): Tensor|Tensor[]|SymbolicTensor {\n    throw new ValueError(\n        'Cannot pass any input to an ' +\n        `InputLayer's apply() method. InputLayer name: ${this.name}`);\n  }\n\n  dispose(): DisposeResult {\n    // dispose() for InputLayer is overridden as no-op.\n    return {refCountAfterDispose: this._refCount, numDisposedVariables: 0};\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {\n      batchInputShape: this.batchInputShape,\n      dtype: this.dtype,\n      sparse: this.sparse,\n      name: this.name\n    };\n  }\n}\nserialization.registerClass(InputLayer);\n\n/**\n * Config for the Input function.\n *\n * Note: You should provide only shape or batchShape (not both).\n * If only shape is provided, then the batchShape becomes\n * [null].concat(inputShape).\n */\nexport interface InputConfig {\n  /**\n   * A shape, not including the batch size. For instance, `shape=[32]`\n   * indicates that the expected input will be batches of 32-dimensional\n   * vectors.\n   */\n  shape?: Shape;\n  /**\n   * A shape tuple (integer), including the batch size. For instance,\n   * `batchShape=[10, 32]` indicates that the expected input will be batches of\n   * 10 32-dimensional vectors. `batchShape=[null, 32]` indicates batches of an\n   * arbitrary number of 32-dimensional vectors.\n   */\n  batchShape?: Shape;\n  /**\n   * An optional name string for the layer. Should be unique in a model (do not\n   * reuse the same name twice). It will be autogenerated if it isn't provided.\n   */\n  name?: string;\n  dtype?: DataType;\n  /**\n   * A boolean specifying whether the placeholder to be created is sparse.\n   */\n  sparse?: boolean;\n}\n\nexport function Input(config: InputConfig): SymbolicTensor {\n  if (config.batchShape == null && config.shape == null) {\n    throw new Error(\n        'Please provide to Input either a `shape`' +\n        ' or a `batchShape` argument. Note that ' +\n        '`shape` does not include the batch ' +\n        'dimension.');\n  }\n  if (config.batchShape != null && config.shape != null) {\n    // TODO(michaelterry): Backport to PyKeras.\n    throw new ValueError(\n        'Please provide either a `shape` or `batchShape` ' +\n        'argument to Input, but not both.');\n  }\n  let batchShape = config.batchShape;\n  if (config.shape != null && batchShape == null) {\n    batchShape = [null].concat(config.shape);\n  }\n\n  let dtype = config.dtype;\n  if (dtype == null) {\n    dtype = 'float32';\n  }\n\n  const inputLayer = new InputLayer({\n    batchInputShape: batchShape,\n    name: config.name,\n    dtype,\n    sparse: config.sparse\n  });\n\n  const outputs = inputLayer.inboundNodes[0].outputTensors;\n  return outputs[0];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport {dispose, Scalar} from '@tensorflow/tfjs-core';\n\n/**\n * Logs in which values can be either numbers or Tensors (Scalars).\n *\n * Used internally.\n */\nexport type UnresolvedLogs = {\n  [key: string]: number|Scalar;\n};\n\n/**\n * Turn any Scalar values in a Logs object into actual number values.\n *\n * @param logs The `Logs` object to be resolved in place.\n */\nexport async function resolveScalarsInLogs(logs: UnresolvedLogs) {\n  if (logs == null) {\n    return;\n  }\n  const promises: Array<Promise<Float32Array|Int32Array|Uint8Array>> = [];\n  const keys: string[] = [];\n  const scalarsToDispose: Scalar[] = [];\n  for (const key in logs) {\n    const value = logs[key];\n    if (typeof value !== 'number') {\n      const valueScalar = value;\n      promises.push(valueScalar.data());\n      keys.push(key);\n      scalarsToDispose.push(valueScalar);\n    }\n  }\n  if (promises.length > 0) {\n    const values = await Promise.all(promises);\n    for (let i = 0; i < values.length; ++i) {\n      logs[keys[i]] = values[i][0];\n    }\n    // Dispose the original scalar tensors.\n    dispose(scalarsToDispose);\n  }\n}\n\n/**\n * Dispose all Tensors in an UnresolvedLogs object.\n *\n * @param logs An `UnresolvedLogs` object potentially containing `tf.Tensor`s in\n *   places where the values can be `tf.Tensor` or `number`.\n */\nexport function disposeTensorsInLogs(logs: UnresolvedLogs) {\n  if (logs == null) {\n    return;\n  }\n  for (const key in logs) {\n    const value = logs[key];\n    if (typeof value !== 'number') {\n      value.dispose();\n    }\n  }\n}\n\n/**\n * Logs in which values can only be numbers.\n *\n * Used when calling client-provided custom callbacks.\n */\nexport type Logs = {\n  [key: string]: number;\n};\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original Source layers/__init__.py */\nimport {serialization} from '@tensorflow/tfjs-core';\n\nimport {deserializeKerasObject} from '../utils/generic_utils';\n\n/**\n * Instantiate a layer from a config dictionary.\n * @param config dict of the form {class_name: str, config: dict}\n * @param customObjects dict mapping class names (or function names)\n *   of custom (non-Keras) objects to class/functions\n * @param fastWeightInit Optional flag to use fast weight initialization\n *   during deserialization. This is applicable to cases in which\n *   the initialization will be immediately overwritten by loaded weight\n *   values. Default: `false`.\n * @returns Layer instance (may be LayersModel, Sequential, Layer...)\n */\nexport function deserialize(\n    config: serialization.ConfigDict,\n    customObjects = {} as serialization.ConfigDict,\n    fastWeightInit = false): serialization.Serializable {\n  return deserializeKerasObject(\n      config, serialization.SerializationMap.getMap().classNameMap,\n      customObjects, 'layer', fastWeightInit);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original Source: losses.py */\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {Tensor, Tensor1D, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {epsilon} from './backend/common';\nimport * as K from './backend/tfjs_backend';\nimport {ValueError} from './errors';\nimport {LossOrMetricFn} from './types';\n\n/**\n * Normalizes a tensor wrt the L2 norm alongside the specified axis.\n * @param x\n * @param axis Axis along which to perform normalization.\n */\nexport function l2Normalize(x: Tensor, axis?: number): Tensor {\n  return tidy(() => {\n    if (x.dtype !== 'float32') {\n      x = x.asType('float32');\n    }\n    const squareSum = tfc.sum(K.square(x), axis, true);\n    const epsilonTensor = tfc.fill(squareSum.shape, epsilon());\n    const norm = tfc.sqrt(tfc.maximum(squareSum, epsilonTensor));\n    return tfc.div(x, norm);\n  });\n}\n\nexport function meanSquaredError(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => tfc.mean(K.square(tfc.sub(yPred, yTrue)), -1));\n}\n\nexport function meanAbsoluteError(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => tfc.mean(tfc.abs(tfc.sub(yPred, yTrue)), -1));\n}\n\nexport function meanAbsolutePercentageError(\n    yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const diff = tfc.sub(yTrue, yPred);\n    const clippedTrue =\n        tfc.clipByValue(tfc.abs(yTrue), epsilon(), Number.MAX_VALUE);\n    const absResult = tfc.abs(tfc.div(diff, clippedTrue));\n    return tfc.mul(100, tfc.mean(absResult, -1));\n  });\n}\n\nexport function meanSquaredLogarithmicError(\n    yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const clippedPred = tfc.clipByValue(yPred, epsilon(), Number.MAX_VALUE);\n    const firstLog = tfc.log(tfc.add(1, clippedPred));\n\n    const clippedTrue = tfc.clipByValue(yTrue, epsilon(), Number.MAX_VALUE);\n    const secondLog = tfc.log(tfc.add(1, clippedTrue));\n\n    return tfc.mean(K.square(tfc.sub(firstLog, secondLog)), -1);\n  });\n}\n\nexport function squaredHinge(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const maxResult = tfc.maximum(0, tfc.sub(1, tfc.mul(yTrue, yPred)));\n    return tfc.mean(K.square(maxResult), -1);\n  });\n}\n\nexport function hinge(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const maxResult = tfc.maximum(0, tfc.sub(1, tfc.mul(yTrue, yPred)));\n    return tfc.mean(maxResult, -1);\n  });\n}\n\nexport function categoricalHinge(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const pos = tfc.sum(tfc.mul(yTrue, yPred), -1);\n    const neg = tfc.max(tfc.mul(tfc.sub(1, yTrue), yPred), -1);\n    return tfc.maximum(0, tfc.add(1, tfc.sub(neg, pos)));\n  });\n}\n\n/**\n * Logarithm of the hyperbolic cosine of the prediction error.\n *\n * `log(cosh(x))` is approximately equal to `(x ** 2) / 2` for small `x` and\n * to `abs(x) - log(2)` for large `x`. This means that 'logcosh' works mostly\n * like the mean squared error, but will not be so strongly affected by the\n * occasional wildly incorrect prediction.\n */\nexport function logcosh(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const log2 = Math.log(2);\n    const predictionDiff = tfc.sub(yPred, yTrue);\n    const logcoshResult = tfc.sub(\n        tfc.add(predictionDiff, tfc.softplus(tfc.mul(-2, predictionDiff))),\n        log2);\n    return tfc.mean(logcoshResult, -1);\n  });\n}\n\nexport function categoricalCrossentropy(\n    target: Tensor, output: Tensor, fromLogits = false): Tensor {\n  return tidy(() => {\n    if (fromLogits) {\n      output = tfc.softmax(output);\n    } else {\n      // scale preds so that the class probabilities of each sample sum to 1.\n      const outputSum = tfc.sum(output, output.shape.length - 1, true);\n      output = tfc.div(output, outputSum);\n    }\n    output = tfc.clipByValue(output, epsilon(), 1 - epsilon());\n    return tfc.neg(tfc.sum(\n        tfc.mul(target.toFloat(), tfc.log(output)), output.shape.length - 1));\n  });\n}\n\n/**\n * Categorical crossentropy with integer targets.\n *\n * @param target An integer tensor.\n * @param output A tensor resulting from a softmax (unless `fromLogits` is\n *  `true`, in which case `output` is expected to be the logits).\n * @param fromLogits Boolean, whether `output` is the result of a softmax, or is\n *   a tensor of logits.\n */\nexport function sparseCategoricalCrossentropy(\n    target: Tensor, output: Tensor): Tensor {\n  return tidy(() => {\n    const flatTarget = tfc.floor(K.flatten(target)).toInt() as Tensor1D;\n    output = tfc.clipByValue(output, epsilon(), 1 - epsilon());\n    const outputShape = output.shape;\n    const oneHotTarget =\n        tfc.oneHot(flatTarget, outputShape[outputShape.length - 1])\n            .reshape(outputShape);\n    const fromLogits = false;\n    return categoricalCrossentropy(oneHotTarget, output, fromLogits);\n  });\n}\n\n/**\n * From TensorFlow's implementation in nn_impl.py:\n *\n * For brevity, let `x = logits`, `z = labels`.  The logistic loss is\n *      z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))\n *    = z * -log(1 / (1 + exp(-x))) + (1 - z) * -log(exp(-x) / (1 + exp(-x)))\n *    = z * log(1 + exp(-x)) + (1 - z) * (-log(exp(-x)) + log(1 + exp(-x)))\n *    = z * log(1 + exp(-x)) + (1 - z) * (x + log(1 + exp(-x))\n *    = (1 - z) * x + log(1 + exp(-x))\n *    = x - x * z + log(1 + exp(-x))\n * For x < 0, to avoid overflow in exp(-x), we reformulate the above\n *      x - x * z + log(1 + exp(-x))\n *    = log(exp(x)) - x * z + log(1 + exp(-x))\n *    = - x * z + log(1 + exp(x))\n * Hence, to ensure stability and avoid overflow, the implementation uses this\n * equivalent formulation\n *    max(x, 0) - x * z + log(1 + exp(-abs(x)))\n *\n * @param labels The labels.\n * @param logits The logits.\n */\nexport function sigmoidCrossEntropyWithLogits(\n    labels: Tensor, logits: Tensor): Tensor {\n  if (!util.arraysEqual(labels.shape, logits.shape)) {\n    throw new ValueError(\n        `logits and labels must have the same shape, but got shapes ` +\n        `${JSON.stringify(labels.shape)} and ${JSON.stringify(logits.shape)}`);\n  }\n  return tidy(() => {\n    // The logistic loss formula from above is\n    //   x - x * z + log(1 + exp(-x))\n    // For x < 0, a more numerically stable formula is\n    //   -x * z + log(1 + exp(x))\n    // Note that these two expressions can be combined into the following:\n    //   max(x, 0) - x * z + log(1 + exp(-abs(x)))\n    const reluLogits = logits.relu();\n    const negAbsLogits = logits.abs().neg();\n    return reluLogits.sub(logits.mul(labels)).add(negAbsLogits.exp().log1p());\n  });\n}\n\nexport function binaryCrossentropy(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    let y: Tensor;\n    y = tfc.clipByValue(yPred, epsilon(), 1 - epsilon());\n    y = tfc.log(tfc.div(y, tfc.sub(1, y)));\n    return tfc.mean(sigmoidCrossEntropyWithLogits(yTrue, y), -1);\n  });\n}\n\nexport function kullbackLeiblerDivergence(\n    yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const clippedTrue = tfc.clipByValue(yTrue, epsilon(), 1);\n    const clippedPred = tfc.clipByValue(yPred, epsilon(), 1);\n    return tfc.sum(\n        tfc.mul(yTrue, tfc.log(tfc.div(clippedTrue, clippedPred))), -1);\n  });\n}\n\nexport function poisson(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const logPred = tfc.log(tfc.add(epsilon(), yPred));\n    return tfc.mean(tfc.sub(yPred, tfc.mul(yTrue, logPred)), -1);\n  });\n}\n\nexport function cosineProximity(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const trueNormalized = l2Normalize(yTrue, -1);\n    const predNormalized = l2Normalize(yPred, -1);\n    const trueXPred = tfc.mul(trueNormalized, predNormalized);\n    return tfc.neg(tfc.sum(trueXPred, -1));\n  });\n}\n\nexport const mse = meanSquaredError;\nexport const MSE = meanSquaredError;\nexport const mae = meanAbsoluteError;\nexport const MAE = meanAbsoluteError;\nexport const mape = meanAbsolutePercentageError;\nexport const MAPE = meanAbsolutePercentageError;\nexport const msle = meanSquaredLogarithmicError;\nexport const MSLE = meanSquaredLogarithmicError;\nexport const kld = kullbackLeiblerDivergence;\nexport const KLD = kullbackLeiblerDivergence;\nexport const cosine = cosineProximity;\n\n// TODO(michaelterry): Add deserialize() function.\n\nexport const lossesMap: {[functionName: string]: LossOrMetricFn} = {\n  meanSquaredError,\n  meanAbsoluteError,\n  meanAbsolutePercentageError,\n  meanSquaredLogarithmicError,\n  squaredHinge,\n  hinge,\n  categoricalHinge,\n  logcosh,\n  categoricalCrossentropy,\n  sparseCategoricalCrossentropy,\n  binaryCrossentropy,\n  kullbackLeiblerDivergence,\n  poisson,\n  cosineProximity\n};\n\n// Porting note: This diverges from the PyKeras implementation and may need to\n// change based on (de)serialization requirements.\nexport function get(identifierOrFn: string|LossOrMetricFn): LossOrMetricFn {\n  if (typeof identifierOrFn === 'string') {\n    if (identifierOrFn in lossesMap) {\n      return lossesMap[identifierOrFn];\n    }\n    let errMsg = `Unknown loss ${identifierOrFn}`;\n    if (identifierOrFn.toLowerCase().includes('softmaxcrossentropy')) {\n      errMsg = `Unknown loss ${identifierOrFn}. ` +\n          'Use \"categoricalCrossentropy\" as the string name for ' +\n          'tf.losses.softmaxCrossEntropy';\n    }\n    throw new ValueError(errMsg);\n  } else {\n    return identifierOrFn;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Built-in metrics.\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {Tensor, tidy} from '@tensorflow/tfjs-core';\n\nimport * as K from './backend/tfjs_backend';\nimport {NotImplementedError, ValueError} from './errors';\nimport {categoricalCrossentropy as categoricalCrossentropyLoss, cosineProximity, meanAbsoluteError, meanAbsolutePercentageError, meanSquaredError, sparseCategoricalCrossentropy as sparseCategoricalCrossentropyLoss} from './losses';\nimport {binaryCrossentropy as lossBinaryCrossentropy} from './losses';\nimport {lossesMap} from './losses';\nimport {LossOrMetricFn} from './types';\nimport * as util from './utils/generic_utils';\n\nexport function binaryAccuracy(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const threshold = tfc.mul(.5, tfc.onesLike(yPred));\n    const yPredThresholded = K.cast(tfc.greater(yPred, threshold), yTrue.dtype);\n    return tfc.mean(tfc.equal(yTrue, yPredThresholded), -1);\n  });\n}\n\nexport function categoricalAccuracy(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(\n      () => K.cast(\n          tfc.equal(tfc.argMax(yTrue, -1), tfc.argMax(yPred, -1)), 'float32'));\n}\n\nfunction truePositives(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    return tfc.logicalAnd(yTrue.equal(1), yPred.equal(1)).sum().cast('float32');\n  });\n}\n\nfunction falseNegatives(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    return tfc.logicalAnd(yTrue.equal(1), yPred.equal(0)).sum().cast('float32');\n  });\n}\n\nfunction falsePositives(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    return tfc.logicalAnd(yTrue.equal(0), yPred.equal(1)).sum().cast('float32');\n  });\n}\n\nexport function precision(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const tp = truePositives(yTrue, yPred);\n    const fp = falsePositives(yTrue, yPred);\n\n    const denominator = tp.add(fp);\n\n    return tfc.where(tfc.greater(denominator, 0), tp.div(denominator), 0)\n        .cast('float32');\n  });\n}\n\nexport function recall(yTrue: Tensor, yPred: Tensor): Tensor {\n  return tidy(() => {\n    const tp = truePositives(yTrue, yPred);\n    const fn = falseNegatives(yTrue, yPred);\n\n    const denominator = tp.add(fn);\n\n    return tfc.where(tfc.greater(denominator, 0), tp.div(denominator), 0)\n        .cast('float32');\n  });\n}\n\nexport function binaryCrossentropy(yTrue: Tensor, yPred: Tensor): Tensor {\n  return lossBinaryCrossentropy(yTrue, yPred);\n}\n\nexport function sparseCategoricalAccuracy(\n    yTrue: Tensor, yPred: Tensor): Tensor {\n  if (yTrue.rank === yPred.rank) {\n    yTrue = yTrue.squeeze([yTrue.rank - 1]);\n  }\n  yPred = yPred.argMax(-1);\n  if (yPred.dtype !== yTrue.dtype) {\n    yPred = yPred.asType(yTrue.dtype);\n  }\n  return tfc.equal(yTrue, yPred).asType('float32');\n}\n\nexport function topKCategoricalAccuracy(yTrue: Tensor, yPred: Tensor): Tensor {\n  throw new NotImplementedError();\n}\n\nexport function sparseTopKCategoricalAccuracy(\n    yTrue: Tensor, yPred: Tensor): Tensor {\n  throw new NotImplementedError();\n}\n\n// Aliases.\nexport const mse = meanSquaredError;\nexport const MSE = meanSquaredError;\nexport const mae = meanAbsoluteError;\nexport const MAE = meanAbsoluteError;\nexport const mape = meanAbsolutePercentageError;\nexport const MAPE = meanAbsolutePercentageError;\nexport const categoricalCrossentropy = categoricalCrossentropyLoss;\nexport const cosine = cosineProximity;\nexport const sparseCategoricalCrossentropy = sparseCategoricalCrossentropyLoss;\n\n// TODO(cais, nielsene): Add serialize().\n\nexport const metricsMap: {[functionName: string]: LossOrMetricFn} = {\n  binaryAccuracy,\n  categoricalAccuracy,\n  precision,\n  categoricalCrossentropy,\n  sparseCategoricalCrossentropy,\n  mse,\n  MSE,\n  mae,\n  MAE,\n  mape,\n  MAPE,\n  cosine\n};\n\nexport function get(identifier: string|LossOrMetricFn): LossOrMetricFn {\n  if (typeof identifier === 'string' && identifier in metricsMap) {\n    return metricsMap[identifier];\n  } else if (typeof identifier !== 'string' && identifier != null) {\n    return identifier;\n  } else {\n    throw new ValueError(`Unknown metric ${identifier}`);\n  }\n}\n\n/**\n * Get the shortcut function name.\n *\n * If the fn name is a string,\n *   directly return the string name.\n * If the function is included in metricsMap or lossesMap,\n *   return key of the map.\n *   - If the function relative to multiple keys,\n *     return the first found key as the function name.\n *   - If the function exists in both lossesMap and metricsMap,\n *     search lossesMap first.\n * If the function is not included in metricsMap or lossesMap,\n *   return the function name.\n *\n * @param fn loss function, metric function, or short cut name.\n * @returns Loss or Metric name in string.\n */\nexport function getLossOrMetricName(fn: string|LossOrMetricFn): string {\n  util.assert(fn !== null, `Unknown LossOrMetricFn ${fn}`);\n  if (typeof fn === 'string') {\n    return fn;\n  } else {\n    let fnName;\n    for (const key of Object.keys(lossesMap)) {\n      if (lossesMap[key] === fn) {\n        fnName = key;\n        break;\n      }\n    }\n    if (fnName !== undefined) {\n      return fnName;\n    }\n    for (const key of Object.keys(metricsMap)) {\n      if (metricsMap[key] === fn) {\n        fnName = key;\n        break;\n      }\n    }\n    if (fnName !== undefined) {\n      return fnName;\n    }\n    return (fn as Function).name;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Optimizers.\n */\n\nimport {Optimizer, train} from '@tensorflow/tfjs-core';\n\nimport {epsilon} from './backend/common';\n\nimport {ValueError} from './errors';\n\n// Add (de)serialize()\n\n// Porting note: This diverges from the PyKeras implementation and may need to\n// change based on (de)serialization requirements.\nexport function getOptimizer(identifier: string): Optimizer {\n  const optimizerMap: {[optimizerName: string]: () => Optimizer} = {\n    'Adagrad': () => train.adagrad(0.01),\n    'Adadelta': () => train.adadelta(1, 0.95, epsilon()),\n    'Adam': () => train.adam(0.001, 0.9, 0.999, epsilon()),\n    'Adamax': () => train.adamax(0.002, 0.9, 0.999, epsilon(), 0),\n    'RMSProp': () => train.rmsprop(0.001, 0.9, 0, epsilon()),\n    'SGD': () => train.sgd(0.01)\n  };\n  optimizerMap['adagrad'] = optimizerMap['Adagrad'];\n  optimizerMap['adadelta'] = optimizerMap['Adadelta'];\n  optimizerMap['adam'] = optimizerMap['Adam'];\n  optimizerMap['adamax'] = optimizerMap['Adamax'];\n  optimizerMap['rmsprop'] = optimizerMap['RMSProp'];\n  optimizerMap['sgd'] = optimizerMap['SGD'];\n\n  if (identifier in optimizerMap) {\n    return optimizerMap[identifier]();\n  }\n  throw new ValueError(`Unknown Optimizer ${identifier}`);\n}\n","/**\n * @license\n * Copyright 2019 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/** Utility functions related to user-defined metadata. */\n\n// Maximum recommended serialized size for user-defined metadata.\n// Beyond this limit, a warning message will be printed during model loading and\n// saving.\nexport const MAX_USER_DEFINED_METADATA_SERIALIZED_LENGTH = 1 * 1024 * 1024;\n\n/**\n * Check validity of user-defined metadata.\n *\n * @param userDefinedMetadata\n * @param modelName Name of the model that the user-defined metadata belongs to.\n *   Used during construction of error messages.\n * @param checkSize Whether to check the size of the metadata is under\n *   recommended limit. Default: `false`. If `true`, will try stringify the\n *   JSON object and print a console warning if the serialzied size is above the\n *   limit.\n * @throws Error if `userDefinedMetadata` is not a plain JSON object.\n */\nexport function checkUserDefinedMetadata(\n    userDefinedMetadata: {}, modelName: string, checkSize = false): void {\n  if (userDefinedMetadata == null ||\n      typeof userDefinedMetadata !== 'object' ||\n      Object.getPrototypeOf(userDefinedMetadata) !== Object.prototype ||\n      !plainObjectCheck(userDefinedMetadata)) {\n    throw new Error(\n        'User-defined metadata is expected to be a JSON object, but is not.');\n  }\n\n  if (checkSize) {\n    const out = JSON.stringify(userDefinedMetadata);\n    if (out.length > MAX_USER_DEFINED_METADATA_SERIALIZED_LENGTH) {\n      console.warn(\n          `User-defined metadata of model \"${modelName}\" is too large in ` +\n          `size (length=${out.length} when serialized). It is not ` +\n          `recommended to store such large objects in user-defined metadata. ` +\n          `Please make sure its serialized length is <= ` +\n          `${MAX_USER_DEFINED_METADATA_SERIALIZED_LENGTH}.`);\n    }\n  }\n}\n\n/**\n * Check if an input is plain JSON object or any valid subfield of it.\n *\n * @param x The input to be checked.\n * @param assertObject Whether to assert `x` is a JSON object, i.e., reject\n *   cases of arrays and primitives.\n * @return Returns `true` if and only if `x` is a plain JSON object,\n *   a JSON-valid primitive including string, number, boolean and null,\n *   or an array of the said types.\n */\n// tslint:disable-next-line:no-any\nexport function plainObjectCheck(x: any): boolean {\n  if (x === null) {\n    // Note: typeof `null` is 'object', and `null` is valid in JSON.\n    return true;\n  } else if (typeof x === 'object') {\n    if (Object.getPrototypeOf(x) === Object.prototype) {\n      // `x` is a JavaScript object and its prototype is Object.\n      const keys = Object.keys(x);\n      for (const key of keys) {\n        if (typeof key !== 'string') {\n          // JSON keys must be strings.\n          return false;\n        }\n        if (!plainObjectCheck(x[key])) {  // Recursive call.\n          return false;\n        }\n      }\n      return true;\n    } else {\n      // `x` is a JavaScript object but its prototype is not Object.\n      if (Array.isArray(x)) {\n        // `x` is a JavaScript array.\n        for (const item of x) {\n          if (!plainObjectCheck(item)) {  // Recursive call.\n            return false;\n          }\n        }\n        return true;\n      } else {\n        // `x` is a JavaScript object and its prototype is not Object,\n        // and it's not an Array. I.e., it's a complex object such as\n        // `Error` and `Date`.\n        return false;\n      }\n    }\n  } else {\n    // `x` is not a JavaScript object or `null`.\n    const xType = typeof x;\n    return xType === 'string' || xType === 'number' || xType === 'boolean';\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport {Container} from '../engine/container';\nimport {Layer, Node} from '../engine/topology';\nimport {countParamsInWeights} from './variable_utils';\n\n/**\n * Print the summary of a LayersModel object.\n *\n * @param model tf.LayersModel instance.\n * @param lineLength Total length of printed lines. Set this to adapt to the\n *   display to different terminal or console sizes.\n * @param positions Relative or absolute positions of log elements in each\n *   line. Each number corresponds to right-most (i.e., ending) position of a\n *   column.\n *   If not provided, defaults to `[0.45, 0.85, 1]` for sequential-like\n *   models and `[0.33, 0.55, 0.67, 1]` for non-sequential like models.\n * @param printFn Print function to use.\n *   It will be called on each line of the summary. You can provide a custom\n *   function in order to capture the string summary. Defaults to `console.log`.\n */\nexport function printSummary(\n    model: Container, lineLength?: number, positions?: number[],\n    // tslint:disable-next-line:no-any\n    printFn: (message?: any, ...optionalParams: any[]) => void =\n        console.log): void {\n  const sequentialLike = isModelSequentialLike(model);\n\n  // Header names for different log elements.\n  const toDisplay: string[] = ['Layer (type)', 'Output shape', 'Param #'];\n  if (sequentialLike) {\n    lineLength = lineLength || 65;\n    positions = positions || [0.45, 0.85, 1];\n  } else {\n    lineLength = lineLength || 98;\n    positions = positions || [0.33, 0.55, 0.67, 1];\n    // Header names for different log elements.\n  }\n\n  if (positions[positions.length - 1] <= 1) {\n    // `positions` is relative. Convert it to absolute positioning.\n    positions = positions.map(p => Math.floor(lineLength * p));\n  }\n\n  let relevantNodes: Node[];\n  if (!sequentialLike) {\n    toDisplay.push('Receives inputs');\n    relevantNodes = [];\n    for (const depth in model.nodesByDepth) {\n      relevantNodes.push(...model.nodesByDepth[depth]);\n    }\n  }\n\n  printFn('_'.repeat(lineLength));\n  printRow(toDisplay, positions, printFn);\n  printFn('='.repeat(lineLength));\n\n  const layers = model.layers;\n  for (let i = 0; i < layers.length; ++i) {\n    if (sequentialLike) {\n      printLayerSummary(layers[i], positions, printFn);\n    } else {\n      printLayerSummaryWithConnections(\n          layers[i], positions, relevantNodes, printFn);\n    }\n    printFn((i === layers.length - 1 ? '=' : '_').repeat(lineLength));\n  }\n\n  // tslint:disable-next-line:no-any\n  (model as any).checkTrainableWeightsConsistency();\n\n  const trainableCount = countTrainableParams(model);\n  const nonTrainableCount = countParamsInWeights(model.nonTrainableWeights);\n\n  printFn(`Total params: ${trainableCount + nonTrainableCount}`);\n  printFn(`Trainable params: ${trainableCount}`);\n  printFn(`Non-trainable params: ${nonTrainableCount}`);\n  printFn('_'.repeat(lineLength));\n}\n\nfunction countTrainableParams(model: Container): number {\n  let trainableCount: number;\n  // tslint:disable:no-any\n  if ((model as any).collectedTrainableWeights != null) {\n    trainableCount =\n        countParamsInWeights((model as any).collectedTrainableWeights);\n  } else {\n    trainableCount = countParamsInWeights(model.trainableWeights);\n  }\n  // tslint:enable:no-any\n  return trainableCount;\n}\n\nfunction isModelSequentialLike(model: Container): boolean {\n  let sequentialLike = true;\n  const nodesByDepth: Node[][] = [];\n  const nodes: Node[] = [];\n  for (const depth in model.nodesByDepth) {\n    nodesByDepth.push(model.nodesByDepth[depth]);\n  }\n  for (const depthNodes of nodesByDepth) {\n    if (depthNodes.length > 1 ||\n        depthNodes.length === 1 && depthNodes[0].inboundLayers.length > 1) {\n      sequentialLike = false;\n      break;\n    }\n    nodes.push(...depthNodes);\n  }\n  if (sequentialLike) {\n    // Search for shared layers.\n    for (const layer of model.layers) {\n      let flag = false;\n      for (const node of layer.inboundNodes) {\n        if (nodes.indexOf(node) !== -1) {\n          if (flag) {\n            sequentialLike = false;\n            break;\n          } else {\n            flag = true;\n          }\n        }\n      }\n      if (!sequentialLike) {\n        break;\n      }\n    }\n  }\n  return sequentialLike;\n}\n\nfunction printRow(\n    fields: string[], positions: number[],\n    // tslint:disable-next-line:no-any\n    printFn: (message?: any, ...optionalParams: any[]) => void = console.log) {\n  let line = '';\n  for (let i = 0; i < fields.length; ++i) {\n    if (i > 0) {\n      line = line.slice(0, line.length - 1) + ' ';\n    }\n    line += fields[i];\n    line = line.slice(0, positions[i]);\n    line += ' '.repeat(positions[i] - line.length);\n  }\n  printFn(line);\n}\n\n/**\n * Prints a summary for a single Layer, without connectivity information.\n *\n * @param layer: Layer instance to print.\n */\nfunction printLayerSummary(\n    layer: Layer, positions: number[],\n    // tslint:disable-next-line:no-any\n    printFn: (message?: any, ...optionalParams: any[]) => void) {\n  let outputShape: string;\n  try {\n    outputShape = JSON.stringify(layer.outputShape);\n  } catch (err) {\n    outputShape = 'multiple';\n  }\n\n  const name = layer.name;\n  const className = layer.getClassName();\n  const fields: string[] =\n      [`${name} (${className})`, outputShape, layer.countParams().toString()];\n  printRow(fields, positions, printFn);\n}\n\n/**\n * Prints a summary for a single Layer, with connectivity information.\n */\nfunction printLayerSummaryWithConnections(\n    layer: Layer, positions: number[], relevantNodes: Node[],\n    // tslint:disable-next-line:no-any\n    printFn: (message?: any, ...optionalParams: any[]) => void) {\n  let outputShape: string;\n  try {\n    outputShape = JSON.stringify(layer.outputShape);\n  } catch (err) {\n    outputShape = 'multiple';\n  }\n\n  const connections: string[] = [];\n  for (const node of layer.inboundNodes) {\n    if (relevantNodes != null && relevantNodes.length > 0 &&\n        relevantNodes.indexOf(node) === -1) {\n      continue;\n    }\n    for (let i = 0; i < node.inboundLayers.length; ++i) {\n      const inboundLayer = node.inboundLayers[i].name;\n      const inboundLayerIndex = node.nodeIndices[i];\n      const inboundTensorIndex = node.tensorIndices[i];\n      connections.push(\n          `${inboundLayer}[${inboundLayerIndex}][${inboundTensorIndex}]`);\n    }\n  }\n  const name = layer.name;\n  const className = layer.getClassName();\n  const firstConnection = connections.length === 0 ? '' : connections[0];\n  const fields: string[] = [\n    `${name} (${className})`, outputShape, layer.countParams().toString(),\n    firstConnection\n  ];\n\n  printRow(fields, positions, printFn);\n  for (let i = 1; i < connections.length; ++i) {\n    printRow(['', '', '', connections[i]], positions, printFn);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n// Porting note: This file doesn't exist in PyKeras.\n// Its purpose here is to centralize the boundary layer between\n// tfjs-layers's internal Config TS-Centric format and PyKeras's\n// serialized Python Config format.\n\nimport {serialization} from '@tensorflow/tfjs-core';\n\nimport {PyJsonValue} from '../keras_format/types';\nimport * as generic_utils from '../utils/generic_utils';\n// tslint:enable\n\n/**\n * Test whether a value in an array is the name of a LayersModel or Layer.\n * @param key The key name that the value is found under. Note that the key\n *   may not be at the level immediately above the value, if the value is in a\n *   nested array.\n * @param index Index of the value in the Array that it is found in.\n * @param value The value object.\n * @returns A boolean indicating whether value is a name.\n */\nfunction isArrayItemInputOrOutputName<T>(\n    key: string, index: number, value: T): boolean {\n  return (key === 'inboundNodes' || key === 'outputLayers' ||\n          key === 'inputLayers') &&\n      index === 0 && typeof value === 'string';\n}\n\n/**\n * Convert a Pythonic config object to TypeScript config object.\n * @param pythonicConfig The config object to convert.\n * @param key Optional key name of the object being converted.\n * @returns Result of the conversion.\n */\nexport function convertPythonicToTs(\n    pythonicConfig: PyJsonValue, key?: string): serialization.ConfigDictValue {\n  if (pythonicConfig === null) {\n    return null;\n  } else if (typeof pythonicConfig === 'string') {\n    return generic_utils.toCamelCase(pythonicConfig);\n  } else if (\n      (typeof pythonicConfig === 'number') ||\n      (typeof pythonicConfig === 'boolean')) {\n    return pythonicConfig;\n  } else if (pythonicConfig instanceof Array) {\n    const tsArray = [];\n    const arrayLength = pythonicConfig.length;\n    for (let i = 0; i < arrayLength; ++i) {\n      const item = pythonicConfig[i];\n      if (isArrayItemInputOrOutputName(key, i, item)) {\n        tsArray.push(item);\n      } else {\n        tsArray.push(convertPythonicToTs(item, key));\n      }\n    }\n    return tsArray;\n  } else {\n    const tsDict: serialization.ConfigDict = {};\n    for (const pythonicKey of Object.keys(pythonicConfig)) {\n      const pythonicValue = pythonicConfig[pythonicKey];\n      if (pythonicKey === 'name' && typeof pythonicValue === 'string') {\n        // Special case the 'name' key with a string value. Name values, such as\n        // the names of LayersModel and Layer instances, should not undergo the\n        // camel-case conversion.\n        tsDict[pythonicKey] = pythonicValue;\n      } else {\n        const tsKey = generic_utils.toCamelCase(pythonicKey);\n        tsDict[tsKey] = convertPythonicToTs(pythonicValue, tsKey);\n      }\n    }\n    return tsDict;\n  }\n}\n\n/**\n * Convert a TypeScript config object to Python config object.\n * @param tsConfig The config object to convert.\n * @param key Optional key name of the object being converted.\n * @returns Result of the conversion.\n */\nexport function convertTsToPythonic(\n    tsConfig: serialization.ConfigDictValue, key?: string): PyJsonValue {\n  if (tsConfig === null || tsConfig === undefined) {\n    return null;\n  } else if (typeof tsConfig === 'string') {\n    return generic_utils.toSnakeCase(tsConfig);\n  } else if (\n      (typeof tsConfig === 'number') || (typeof tsConfig === 'boolean')) {\n    return tsConfig;\n  } else if (tsConfig instanceof Array) {\n    const pyArray = [];\n    const arrayLength = tsConfig.length;\n    for (let i = 0; i < arrayLength; ++i) {\n      const item = tsConfig[i];\n      if (isArrayItemInputOrOutputName(key, i, item)) {\n        pyArray.push(item);\n      } else {\n        pyArray.push(convertTsToPythonic(item, key));\n      }\n    }\n    return pyArray;\n  } else {\n    const pyDict: serialization.ConfigDict = {};\n    for (const tsKey of Object.keys(tsConfig)) {\n      const tsValue = tsConfig[tsKey];\n      const pyKey = generic_utils.toSnakeCase(tsKey);\n      if ((tsKey === 'name' || tsKey === 'className') &&\n          typeof tsValue === 'string') {\n        // Special case the 'name' key with a string value. Name values, such as\n        // the names of LayersModel and Layer instances, should not undergo the\n        // snake-case conversion.\n        pyDict[pyKey] = tsValue;\n      } else {\n        pyDict[pyKey] = convertTsToPythonic(tsValue, tsKey);\n      }\n    }\n    return pyDict;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Executor: Evaluates SymbolicTensor based on feeds.\n */\n\nimport {cast, dispose, memory, Tensor, util} from '@tensorflow/tfjs-core';\n\nimport {ValueError} from '../errors';\nimport {Kwargs} from '../types';\nimport {toList} from '../utils/generic_utils';\n\nimport {InputLayer} from './input_layer';\nimport {SymbolicTensor} from './topology';\n\n/**\n * Helper function to check the dtype and shape compatibility of a feed value.\n */\nfunction assertFeedCompatibility(key: SymbolicTensor, val: Tensor): Tensor {\n  // Check dtype compatibility.\n  if (key.dtype == null || key.dtype === val.dtype) {\n    //  a.  If types match, return val tensor as is.\n    return val;\n  }\n  try {\n    //  b. Attempt to convert to expected type.\n    return cast(val, key.dtype);\n  } catch (err) {\n    //  c. If conversion fails, return helpful error.\n    throw new ValueError(\n        `The dtype of the feed (${val.dtype}) can not be cast to the dtype ` +\n        `of the key '${key.name}' (${key.dtype}).`);\n  }\n}\n\n/**\n * A concrete Tensor value for a symbolic tensor as the key.\n */\nexport interface Feed {\n  key: SymbolicTensor;\n  value: Tensor;\n}\n\n/**\n * FeedDict: A mapping from unique SymbolicTensors to feed values for them.\n * A feed value is a concrete value represented as an `Tensor`.\n */\nexport class FeedDict {\n  private id2Value: {[id: number]: Tensor} = {};\n  private id2Mask: {[id: number]: Tensor} = {};\n  private name2Id: {[name: string]: number} = {};\n\n  /**\n   * Constructor, optionally does copy-construction.\n   * @param feeds An Array of `Feed`s, or another `FeedDict`, in which case\n   *   copy-construction will be performed.\n   */\n  constructor(feeds?: Feed[]|FeedDict) {\n    if (feeds instanceof FeedDict) {\n      for (const id in feeds.id2Value) {\n        this.id2Value[id] = feeds.id2Value[id];\n        if (id in feeds.id2Mask) {\n          this.id2Mask[id] = feeds.id2Mask[id];\n        }\n      }\n    } else {\n      if (feeds == null) {\n        return;\n      }\n      for (const feed of feeds) {\n        this.add(feed.key, feed.value);\n      }\n    }\n  }\n\n  /**\n   * Add a key-value pair to the FeedDict.\n   *\n   * @param key The key of the feed.\n   * @param value The value of the tensor feed.\n   * @param mask The value of the mask feed (optional).\n   * @returns This `FeedDict`.\n   * @throws ValueError: If the key `SymbolicTensor` already exists in the\n   *   `FeedDict`.\n   */\n  add(key: SymbolicTensor, value: Tensor, mask?: Tensor): FeedDict {\n    if (this.id2Value[key.id] == null) {\n      this.id2Value[key.id] = assertFeedCompatibility(key, value);\n      this.name2Id[key.name] = key.id;\n      if (mask != null) {\n        this.id2Mask[key.id] = mask;\n      }\n    } else {\n      throw new ValueError(`Duplicate key: name=${key.name}, id=${key.id}`);\n    }\n    return this;\n  }\n\n  /**\n   * Add a Feed to the FeedDict.\n   * @param feed The new `Feed` to add.\n   * @returns This `FeedDict`.\n   */\n  addFeed(feed: Feed) {\n    this.add(feed.key, feed.value);\n  }\n\n  /**\n   * Probe whether a key already exists in the FeedDict.\n   * @param key\n   */\n  hasKey(key: SymbolicTensor): boolean {\n    return this.id2Value[key.id] != null;\n  }\n\n  /**\n   * Get all the SymbolicTensor available in this FeedDict.\n   */\n  names(): string[] {\n    return Object.keys(this.name2Id);\n  }\n\n  /**\n   * Get the feed value for given key.\n   * @param key The SymbolicTensor, or its name (as a string), of which the\n   *     value is sought.\n   * @returns If `key` exists, the corresponding feed value.\n   * @throws ValueError: If `key` does not exist in this `FeedDict`.\n   */\n  getValue(key: SymbolicTensor|string): Tensor {\n    if (key instanceof SymbolicTensor) {\n      if (this.id2Value[key.id] == null) {\n        throw new ValueError(`Nonexistent key: ${key.name}`);\n      } else {\n        return this.id2Value[key.id];\n      }\n    } else {\n      const id = this.name2Id[key];\n      if (id == null) {\n        throw new ValueError(`Feed dict has no SymbolicTensor name: ${key}`);\n      }\n      return this.id2Value[id];\n    }\n  }\n\n  /**\n   * Get the feed mask for given key.\n   * @param key The SymbolicTensor, or its name (as a string), of which the\n   *     value is sought.\n   * @returns If `key` exists, the corresponding feed mask.\n   * @throws ValueError: If `key` does not exist in this `FeedDict`.\n   */\n  getMask(key: SymbolicTensor|string): Tensor {\n    if (key instanceof SymbolicTensor) {\n      if (this.id2Value[key.id] == null) {\n        throw new ValueError(`Nonexistent key: ${key.name}`);\n      } else {\n        return this.id2Mask[key.id];\n      }\n    } else {\n      const id = this.name2Id[key];\n      if (id == null) {\n        throw new ValueError(`Feed dict has no SymbolicTensor name: ${key}`);\n      }\n      return this.id2Mask[id];\n    }\n  }\n\n  /** Dispose all mask Tensors held by this object. */\n  disposeMasks() {\n    if (this.id2Mask != null) {\n      dispose(this.id2Mask);\n    }\n  }\n}\n\n// Cache for topologically sorted SymbolicTensors for given execution\n// targets (i.e., fetches).\nconst cachedSorted: {[concatFetchNames: string]: SymbolicTensor[]} = {};\n\n// Cache for recipient count maps for given execution targets (i.e., fetches).\nconst cachedRecipientCounts:\n    {[concatFetchNames: string]: {[fetchName: string]: number}} = {};\n\n/**\n * Interface for the optional object used for probing the memory\n * usage and other statistics during execution.\n */\nexport interface ExecutionProbe {\n  /**\n   * Maximum number of tensors that exist during all steps of the\n   * execution. Tensor counts are measured at the beginning of every\n   * step.\n   */\n  maxNumTensors?: number;\n\n  /**\n   * Minimum number of tensors that exist during all steps of the\n   * execution. Tensor counts are measured at the beginning of every\n   * step.\n   */\n  minNumTensors?: number;\n}\n\n/**\n * Execute a SymbolicTensor by using concrete feed values.\n *\n * A `SymbolicTensor` object is a node in a computation graph of TF.js\n * Layers. The object is backed by a source layer and input\n * `SymbolicTensor`s to the source layer. This method evaluates\n * the `call()` method of the source layer, using concrete values of the\n * inputs obtained from either\n * * `feedDict`, if the input key exists in `feedDict`, or else,\n * * a recursive call to `execute()` itself.\n *\n * @param x: The `SymbolicTensor` to execute.\n * @param feedDict: The feed values, as base condition of the recursion.\n *   execution.\n * @param kwargs: Optional keyword arguments.\n * @param probe: A probe object (of interface `ExecutionProbe`) used for\n *   testing memory footprint of `execute` calls.\n * @returns Result of the execution.\n * @throws ValueError: If any `SymbolicTensor`s from `InputLayer`s\n *   encountered during the execution lacks a feed value in `feedDict`.\n */\nexport function execute(\n    fetches: SymbolicTensor|SymbolicTensor[], feedDict: FeedDict,\n    kwargs?: Kwargs, probe?: ExecutionProbe): Tensor|\n    Tensor[]|[Tensor | Tensor[]] {\n  const training: boolean = kwargs == null ? false : kwargs['training'];\n\n  const arrayFetches = Array.isArray(fetches);\n  const fetchArray: SymbolicTensor[] =\n      arrayFetches ? fetches as SymbolicTensor[] : [fetches as SymbolicTensor];\n\n  const outputNames = fetchArray.map(t => t.name);\n  const finalOutputs: Tensor[] = [];\n  const feedNames = feedDict.names();\n  for (const outputName of outputNames) {\n    if (feedNames.indexOf(outputName) !== -1) {\n      finalOutputs.push(feedDict.getValue(outputName));\n    } else {\n      finalOutputs.push(null);\n    }\n  }\n\n  if (probe != null) {\n    // For optional probing of memory footprint during execution.\n    probe.maxNumTensors = -Infinity;\n    probe.minNumTensors = Infinity;\n  }\n\n  // Check cache.\n  const fetchAndFeedKey =\n      outputNames.join(',') + '|' + feedDict.names().join(',');\n  let sorted: SymbolicTensor[];\n  let recipientCounts: {[fetchName: string]: number};\n  if (cachedSorted[fetchAndFeedKey] == null) {\n    // Cache doesn't contain the desired combination of fetches. Compute\n    // topological sort for the combination for the first time.\n    const out = getTopologicalSortAndRecipientCounts(fetchArray, feedDict);\n    sorted = out.sorted;\n    recipientCounts = out.recipientCounts;\n\n    // Store results in cache for future use.\n    cachedSorted[fetchAndFeedKey] = sorted;\n    cachedRecipientCounts[fetchAndFeedKey] = recipientCounts;\n  }\n  sorted = cachedSorted[fetchAndFeedKey];\n  recipientCounts = {};\n  if (!training) {\n    Object.assign(recipientCounts, cachedRecipientCounts[fetchAndFeedKey]);\n  }\n\n  const internalFeedDict = new FeedDict(feedDict);\n\n  // Start iterative execution on the topologically-sorted SymbolicTensors.\n  for (let i = 0; i < sorted.length; ++i) {\n    if (probe != null) {\n      // For optional probing of memory usage during execution.\n      const numTensors = memory().numTensors;\n      if (numTensors > probe.maxNumTensors) {\n        probe.maxNumTensors = numTensors;\n      }\n      if (numTensors < probe.minNumTensors) {\n        probe.minNumTensors = numTensors;\n      }\n    }\n\n    const symbolic = sorted[i];\n    const srcLayer = symbolic.sourceLayer;\n    if (srcLayer instanceof InputLayer) {\n      continue;\n    }\n    const inputValues: Tensor[] = [];\n    const inputMasks: Tensor[] = [];\n    const tensorsToDispose: Tensor[] = [];\n\n    let maskExists = false;\n    for (const input of symbolic.inputs) {\n      const value = internalFeedDict.getValue(input);\n      const mask = internalFeedDict.getMask(input);\n      inputValues.push(value);\n      inputMasks.push(mask);\n      if (mask != null) {\n        maskExists = true;\n      }\n      if (!training) {\n        recipientCounts[input.name]--;\n        if (recipientCounts[input.name] === 0 && !feedDict.hasKey(input) &&\n            outputNames.indexOf(input.name) === -1 && !value.isDisposed &&\n            input.sourceLayer.stateful !== true) {\n          tensorsToDispose.push(value);\n        }\n      }\n    }\n\n    if (maskExists) {\n      kwargs = kwargs || {};\n      kwargs['mask'] = inputMasks[0];\n    }\n    const outputTensors =\n        toList(srcLayer.apply(inputValues, kwargs)) as Tensor[];\n    let outputMask: Tensor|Tensor[] = null;\n    if (srcLayer.supportsMasking) {\n      outputMask = srcLayer.computeMask(inputValues, inputMasks);\n    }\n    const layerOutputs = getNodeOutputs(symbolic);\n    const outputSymbolicTensors =\n        Array.isArray(layerOutputs) ? layerOutputs : [layerOutputs];\n    for (let i = 0; i < outputSymbolicTensors.length; ++i) {\n      if (!internalFeedDict.hasKey(outputSymbolicTensors[i])) {\n        internalFeedDict.add(\n            outputSymbolicTensors[i], outputTensors[i],\n            Array.isArray(outputMask) ? outputMask[0] : outputMask);\n      }\n      const index = outputNames.indexOf(outputSymbolicTensors[i].name);\n      if (index !== -1) {\n        finalOutputs[index] = outputTensors[i];\n      }\n    }\n\n    if (!training) {\n      // Clean up Tensors that are no longer needed.\n      dispose(tensorsToDispose);\n    }\n  }\n  // NOTE(cais): Unlike intermediate tensors, we don't discard mask\n  // tensors as we go, because these tensors are sometimes passed over a\n  // series of mutliple layers, i.e., not obeying the immediate input\n  // relations in the graph. If this becomes a memory-usage concern,\n  // we can improve this in the future.\n  internalFeedDict.disposeMasks();\n\n  return arrayFetches ? finalOutputs : finalOutputs[0];\n}\n\ntype RecipientCounts = {\n  [fetchName: string]: number\n};\n\nexport type RecipientMap = {\n  [fetchName: string]: Set<string>;\n};\n\n/**\n * Sort the `SymbolicTensor`s topologically, for an array of fetches.\n *\n * This function calls getTopologicalSortAndRecipientCountsForOneFetch and\n * merges their results.\n *\n * @param fetch The array of fetches requested. Must be a non-empty array.\n * @param feedDict The dictionary of fed values.\n * @returns sorted: Topologically-sorted array of SymbolicTensors.\n *   recipientCounts: Recipient counts for all SymbolicTensors in `sorted`.\n */\nfunction getTopologicalSortAndRecipientCounts(\n    fetches: SymbolicTensor[], feedDict: FeedDict):\n    {sorted: SymbolicTensor[], recipientCounts: RecipientCounts} {\n  util.assert(\n      fetches != null && fetches.length > 0,\n      () => `Expected at least one fetch, got none`);\n\n  let finalSorted: SymbolicTensor[] = [];\n  let finalRecipientMap: RecipientMap = {};\n  if (fetches.length === 1) {\n    // Special-casing 1 fetch for efficiency.\n    const out =\n        getTopologicalSortAndRecipientCountsForOneFetch(fetches[0], feedDict);\n    finalSorted = out.sorted;\n    finalRecipientMap = out.recipientMap;\n  } else {\n    const visited = new Set<string>();\n    for (const fetch of fetches) {\n      const {sorted, recipientMap} =\n          getTopologicalSortAndRecipientCountsForOneFetch(fetch, feedDict);\n\n      // Merge sorted SymbolicTensor Arrays.\n      for (const symbolicTensor of sorted) {\n        if (!visited.has(symbolicTensor.name)) {\n          finalSorted.push(symbolicTensor);\n          visited.add(symbolicTensor.name);\n        }\n      }\n\n      // Merge recipient maps.\n      for (const name in recipientMap) {\n        if (finalRecipientMap[name] == null) {\n          finalRecipientMap[name] = new Set<string>();\n        }\n        recipientMap[name].forEach(\n            recipient => finalRecipientMap[name].add(recipient));\n      }\n    }\n  }\n  return {\n    sorted: finalSorted,\n    recipientCounts: recipientMap2Counts(finalRecipientMap)\n  };\n}\n\nfunction recipientMap2Counts(recipientMap: RecipientMap): RecipientCounts {\n  const recipientCounts: RecipientCounts = {};\n  for (const name in recipientMap) {\n    recipientCounts[name] = recipientMap[name].size;\n  }\n  return recipientCounts;\n}\n\n/**\n * Sort the `SymbolicTensor`s topologically, for a single fetch.\n *\n * This helper function processes the upstream SymbolicTensors of a single\n * fetch.\n *\n * @param fetch The single fetch requested.\n * @param feedDict The dictionary of fed values.\n * @returns sorted: Topologically-sorted array of SymbolicTensors.\n *   recipientMap: Recipient names for all SymbolicTensors in `sorted`.\n */\nexport function getTopologicalSortAndRecipientCountsForOneFetch(\n    fetch: SymbolicTensor, feedDict: FeedDict):\n    {sorted: SymbolicTensor[], recipientMap: RecipientMap} {\n  const visited = new Set<string>();\n  const sorted: SymbolicTensor[] = [];\n  const recipientMap: RecipientMap = {};\n\n  // Put keys of the feedDict into visited first, so they don't have to be\n  // walked. This is needed in case where there are feeds for intermediate\n  // SymbolicTensors of the graph.\n  for (const key of feedDict.names()) {\n    visited.add(key);\n  }\n\n  const stack: SymbolicTensor[] = [];\n  const marks: number[] = [];\n\n  // Initial population of stack and marks.\n  stack.push(fetch);\n\n  while (stack.length > 0) {\n    const top = stack[stack.length - 1];\n    if (visited.has(top.name)) {\n      stack.pop();\n      continue;\n    }\n    const topIsMarked = marks[marks.length - 1] === stack.length - 1;\n    if (top.inputs.length === 0 || topIsMarked) {\n      // Input SymbolicTensor or all children have been visited.\n      stack.pop();\n      sorted.push(top);\n      visited.add(top.name);\n      if (topIsMarked) {\n        marks.pop();\n      }\n    } else {\n      // A non-input SymbolicTensor whose upstream SymbolicTensors haven't\n      // been visited yet. Push them onto the stack.\n      marks.push(stack.length - 1);\n      for (const input of top.inputs) {\n        // Increment the recipient count. Note that this needs to happen\n        // regardless of whether the SymbolicTensor has been visited before.\n        if (recipientMap[input.name] == null) {\n          recipientMap[input.name] = new Set<string>();\n        }\n        recipientMap[input.name].add(top.name);\n\n        if (visited.has(input.name)) {\n          continue;  // Avoid repeated visits to the same SymbolicTensor.\n        }\n        stack.push(input);\n      }\n    }\n  }\n  return {sorted, recipientMap};\n}\n\n/**\n * Get the symbolic output tensors of the node to which a given fetch belongs.\n * @param fetch The fetched symbolic tensor.\n * @returns The Array of symbolic tensors output by the node to which `fetch`\n *   belongs.\n */\nfunction getNodeOutputs(fetch: SymbolicTensor): SymbolicTensor|\n    SymbolicTensor[] {\n  let layerOutputs: SymbolicTensor|SymbolicTensor[];\n  if (fetch.sourceLayer.inboundNodes.length === 1) {\n    layerOutputs = fetch.sourceLayer.output;\n  } else {\n    let nodeIndex: number = null;\n    for (let i = 0; i < fetch.sourceLayer.inboundNodes.length; ++i) {\n      for (const outputTensor of fetch.sourceLayer.inboundNodes[i]\n               .outputTensors) {\n        if (outputTensor.id === fetch.id) {\n          nodeIndex = i;\n          break;\n        }\n      }\n    }\n    layerOutputs = fetch.sourceLayer.getOutputAt(nodeIndex);\n  }\n  return layerOutputs;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original source: keras/engine/topology.py */\n\nimport {NamedTensorMap, Scalar, serialization, Tensor, tidy} from '@tensorflow/tfjs-core';\n\nimport {getUid} from '../backend/state';\nimport {NotImplementedError, RuntimeError, ValueError} from '../errors';\nimport {Shape} from '../keras_format/common';\nimport {TensorKeyWithArgsArray} from '../keras_format/node_config';\nimport {PyJsonDict} from '../keras_format/types';\nimport {deserialize as deserializeLayer} from '../layers/serialization';\nimport {Kwargs} from '../types';\nimport * as generic_utils from '../utils/generic_utils';\nimport {convertTsToPythonic} from '../utils/serialization_utils';\nimport * as types_utils from '../utils/types_utils';\nimport {batchSetValue, LayerVariable} from '../variables';\nimport {version as layersVersion} from '../version';\n\nimport {execute, FeedDict} from './executor';\nimport {InputLayer} from './input_layer';\nimport {DisposeResult, Layer, Node, SymbolicTensor} from './topology';\n\n/** Constructor config for Container. */\nexport interface ContainerArgs {\n  inputs: SymbolicTensor|SymbolicTensor[];\n  outputs: SymbolicTensor|SymbolicTensor[];\n  name?: string;\n}\n\n/**\n * A Container is a directed acyclic graph of layers.\n *\n * It is the topological form of a \"model\". A LayersModel\n * is simply a Container with added training routines.\n *\n */\nexport abstract class Container extends Layer {\n  inputs: SymbolicTensor[];\n  outputs: SymbolicTensor[];\n\n  inputLayers: Layer[];\n  inputLayersNodeIndices: number[];\n  inputLayersTensorIndices: number[];\n\n  outputLayers: Layer[];\n  outputLayersNodeIndices: number[];\n  outputLayersTensorIndices: number[];\n\n  layers: Layer[];\n  layersByDepth: {[depth: string]: Layer[]};\n  nodesByDepth: {[depth: string]: Node[]};\n\n  internalContainerRefs: Container[];\n\n  containerNodes = new Set<string>();\n\n  // TODO(michaelterry): Add cache support\n  // private outputMaskCache: any;\n  // private outputTensorCache: any;\n  // private outputShapeCache: any;\n\n  inputNames: string[];\n  outputNames: string[];\n  feedInputShapes: Shape[];\n\n  protected internalInputShapes: Shape[];\n  protected internalOutputShapes: Shape[];\n  // TODO(cais): Maybe 'feed' should not in the names of these variables,\n  //   due to the fact that our backend is not symbolic.\n  protected feedInputNames: string[];\n  protected feedOutputNames: string[];\n\n  constructor(args: ContainerArgs) {\n    // No args passed to super's constructor.\n    super({});\n    this.name = args.name;\n    if (this.name == null) {\n      const prefix = this.getClassName().toLowerCase();\n      this.name = getUid(prefix);\n    }\n\n    this.supportsMasking = false;\n    this.trainable_ = true;\n\n    // TODO(michaelterry): Initialize perInputLosses/Updates here.\n\n    // Container-specific properties.\n    if (Array.isArray(args.inputs)) {\n      this.inputs = args.inputs.slice();\n    } else {\n      this.inputs = [args.inputs];\n    }\n    if (Array.isArray(args.outputs)) {\n      this.outputs = args.outputs.slice();\n    } else {\n      this.outputs = [args.outputs];\n    }\n\n    // Check for redundancy in inputs.\n    if (generic_utils.unique(this.inputs).length !== this.inputs.length) {\n      throw new ValueError(\n          'The list of inputs passed to the model is ' +\n          'redundant. All inputs should only appear once. Found: ' +\n          `${this.inputs.map(x => x.name)}`);\n    }\n\n    // Check for redundancy in outputs.\n    if (generic_utils.unique(this.outputs).length !== this.outputs.length) {\n      console.warn(\n          'The list of outputs passed to the model is redundant. ' +\n          'All outputs should only appear once. Found: ' +\n          `${this.outputs.map(x => x.name)}`);\n    }\n\n    /*\n      List of initial layers (1 to 1 mapping with this.inputs, hence the same\n      layer might appear twice)\n    */\n    this.inputLayers = [];\n    this.inputLayersNodeIndices = [];\n    this.inputLayersTensorIndices = [];\n    /*\n      List of layers (1 to 1 mapping with this.outputs, hence the same layer\n      might appear twice)\n    */\n    this.outputLayers = [];\n    this.outputLayersNodeIndices = [];\n    this.outputLayersTensorIndices = [];\n    /*\n      All layers in order of horizontal graph traversal. Entries are unique.\n      Includes input and output layers.\n    */\n    this.layers = [];\n\n    /*\n      References to container layers that were constructed internally. We need\n      these to properly dispose of tensors from nested containers.\n    */\n    this.internalContainerRefs = [];\n\n    // TODO(michaelterry): Determine if caching still needed with eager\n    // backend.\n    /*\n      This is for performance optimization when calling the Container on new\n      inputs. Every time the Container is called on a set on input tensors,\n      we compute the output tensors, output masks and output shapes in one pass,\n      then cache them here. When one of these outputs is queried later,\n      we retrieve it from there instead of recomputing it.\n    */\n    // this.outputTensorCache = {};\n    // this.outputShapeCache = {};\n\n    // Build this.outputLayers:\n    for (const x of this.outputs) {\n      const layer = x.sourceLayer;\n      const nodeIndex = x.nodeIndex;\n      const tensorIndex = x.tensorIndex;\n      this.outputLayers.push(layer);\n      this.outputLayersNodeIndices.push(nodeIndex);\n      this.outputLayersTensorIndices.push(tensorIndex);\n    }\n\n    // TODO(michaelterry): Add output mask cache code.\n\n    // Build this.inputLayers:\n    for (const x of this.inputs) {\n      const layer = x.sourceLayer;\n      const nodeIndex = x.nodeIndex;\n      const tensorIndex = x.tensorIndex;\n      /*\n        It's supposed to be an input layer, so only one node\n        and one tensor output.\n      */\n      generic_utils.assert(nodeIndex === 0, 'input layer has >1 nodes');\n      generic_utils.assert(tensorIndex === 0, 'input layer has >1 tensors');\n      this.inputLayers.push(layer);\n      this.inputLayersNodeIndices.push(nodeIndex);\n      this.inputLayersTensorIndices.push(tensorIndex);\n    }\n\n    // Build this.inputNames and this.outputNames.\n    this.inputNames = [];\n    this.outputNames = [];\n    this.feedInputShapes = [];\n    this.feedInputNames = [];\n    this.feedOutputNames = [];\n    for (let i = 0; i < this.inputLayers.length; i++) {\n      const layer = this.inputLayers[i];\n      // Check that layer is an InputLayer.\n      if (!(layer instanceof InputLayer)) {\n        throw new TypeError(\n            'Input layers to a LayersModel must be InputLayer objects. ' +\n            `Received inputs: ${args.inputs}. ` +\n            `Input ${i} (0-based) originates ` +\n            `from layer type ${layer.getClassName()}.`);\n      }\n      this.inputNames.push(layer.name);\n      this.feedInputShapes.push(layer.batchInputShape);\n\n      this.feedInputNames.push(layer.name);\n    }\n    for (const layer of this.outputLayers) {\n      this.outputNames.push(layer.name);\n    }\n\n    this.internalInputShapes = this.inputs.map(x => x.shape);\n    this.internalOutputShapes = this.outputs.map(x => x.shape);\n\n    /*\n      Container_nodes: set of nodes included in the graph (not all nodes\n      included in the layers are relevant to the current graph).\n    */\n    // ids of all nodes relevant to the Container:\n    const nodesDepths: {[nodeID: string]: number} = {};\n    // To recover nodes from their ID.\n    const nodeIDToNode: {[nodeID: string]: Node} = {};\n    const layersDepths: {[layerID: string]: number} = {};\n    // To layers from their ID.\n    const layerIDToLayer: {[layerID: string]: Layer} = {};\n    const layerIndices: {[layerID: string]: number} = {};\n    const nodesInDecreasingDepth: Node[] = [];\n\n    /**\n     * Builds a map of the graph of layers.\n     *\n     * This recursively updates the map `layerIndices`,\n     * the list `nodesInDecreasingDepth` and the set `containerNodes`.\n     *\n     * @param tensor Some tensor in a graph.\n     * @param finishedNodes Set of nodes whose subgraphs have been traversed\n     *         completely. Useful to prevent duplicated work.\n     * @param nodesInProgress Set of nodes that are currently active on the\n     *         recursion stack. Useful to detect cycles.\n     * @param layer Layer from which `tensor` comes from. If not provided,\n     *   will be obtained from tensor.sourceLayer.\n     * @param nodeIndex Node index from which `tensor` comes from.\n     * @param tensorIndex TensorIndex from which `tensor` comes from.\n     *\n     * @exception RuntimeError if a cycle is detected.\n     */\n    const buildMapOfGraph =\n        (tensor: SymbolicTensor, finishedNodes: Node[], nodesInProgress: Node[],\n         layer?: Layer, nodeIndex?: number, tensorIndex?: number) => {\n          if (layer == null || nodeIndex == null || tensorIndex == null) {\n            layer = tensor.sourceLayer;\n            nodeIndex = tensor.nodeIndex;\n            tensorIndex = tensor.tensorIndex;\n          }\n          const node = layer.inboundNodes[nodeIndex];\n\n          // Prevent cycles.\n          if (nodesInProgress.indexOf(node) !== -1) {\n            throw new RuntimeError(\n                `The tensor ${tensor.name} at layer \"${layer.name}\" ` +\n                'is part of a cycle.');\n          }\n\n          // Don't repeat work for shared subgraphs\n          if (finishedNodes.indexOf(node) !== -1) {\n            return;\n          }\n\n          // Update containerNodes.\n          this.containerNodes.add(Container.nodeKey(layer, nodeIndex));\n\n          // Store the traversal order for layer sorting.\n          if (!(layer.id in layerIndices)) {\n            layerIndices[layer.id] = Object.keys(layerIndices).length;\n          }\n\n          if (nodesInProgress.indexOf(node) === -1) {\n            nodesInProgress.push(node);\n          }\n\n          // Propagate to all previous tensors connected to this node.\n          const numInboundLayers = node.inboundLayers.length;\n          for (let i = 0; i < numInboundLayers; i++) {\n            const x = node.inputTensors[i];\n            const layer = node.inboundLayers[i];\n            const nodeIndex = node.nodeIndices[i];\n            const tensorIndex = node.tensorIndices[i];\n            buildMapOfGraph(\n                x, finishedNodes, nodesInProgress, layer, nodeIndex,\n                tensorIndex);\n          }\n          finishedNodes.push(node);\n          while (nodesInProgress.indexOf(node) >= 0) {\n            nodesInProgress.splice(nodesInProgress.indexOf(node), 1);\n          }\n          nodesInDecreasingDepth.push(node);\n        };\n\n    const finishedNodes: Node[] = [];\n    const nodesInProgress: Node[] = [];\n    for (const x of this.outputs) {\n      buildMapOfGraph(x, finishedNodes, nodesInProgress);\n    }\n\n    const reversedNodesInDecreasingDepth =\n        nodesInDecreasingDepth.slice().reverse();\n    for (const node of reversedNodesInDecreasingDepth) {\n      nodeIDToNode[node.id] = node;\n      // If the depth is not set, the node has no outbound nodes (depth 0).\n      if (!(node.id in nodesDepths)) {\n        nodesDepths[node.id] = 0;\n      }\n      let depth = nodesDepths[node.id];\n\n      // Update the depth of the corresponding layer\n      const previousDepth =\n          (layersDepths[node.outboundLayer.id] == null ?\n               0 :\n               layersDepths[node.outboundLayer.id]);\n\n      /*\n        If we've seen this layer before at a higher depth, we should use that\n        depth instead of the node depth.  This is necessary for shared layers\n        that have inputs at different depth levels in the graph.\n      */\n      depth = Math.max(depth, previousDepth);\n      layersDepths[node.outboundLayer.id] = depth;\n      layerIDToLayer[node.outboundLayer.id] = node.outboundLayer;\n      nodesDepths[node.id] = depth;\n\n      // Update the depth of inbound nodes.\n      for (let i = 0; i < node.inboundLayers.length; i++) {\n        const inboundLayer = node.inboundLayers[i];\n        const nodeIndex = node.nodeIndices[i];\n        const inboundNode = inboundLayer.inboundNodes[nodeIndex];\n        const previousDepth =\n            (nodesDepths[inboundNode.id] == null ? 0 :\n                                                   nodesDepths[inboundNode.id]);\n        nodesDepths[inboundNode.id] = Math.max(depth + 1, previousDepth);\n        nodeIDToNode[inboundNode.id] = inboundNode;\n      }\n    }\n\n    // Build a dict {depth: list of nodes with this depth}\n    const nodesByDepth: {[depth: string]: Node[]} = {};\n    for (const nodeID in nodesDepths) {\n      const depth = nodesDepths[nodeID];\n      if (!(depth in nodesByDepth)) {\n        nodesByDepth[depth] = [];\n      }\n      nodesByDepth[depth].push(nodeIDToNode[nodeID]);\n    }\n\n    // Build a dict {depth: list of layers with this depth}\n    const layersByDepth: {[depth: string]: Layer[]} = {};\n    for (const layerID in layersDepths) {\n      const depth = layersDepths[layerID];\n      if (!(depth in layersByDepth)) {\n        layersByDepth[depth] = [];\n      }\n      layersByDepth[depth].push(layerIDToLayer[layerID]);\n    }\n\n    // Get sorted list of layer depths.\n    let depthKeys = Object.keys(layersByDepth)\n                        .map(x => parseInt(x, 10))\n                        .sort(generic_utils.reverseNumberCompare);\n\n    // Set this.layers and this.layersByDepth.\n    this.layers = [];\n    for (const depth of depthKeys) {\n      const layersForDepth = layersByDepth[depth];\n      // Container.layers needs to have a deterministic order:\n      // here we order them by traversal order.\n      layersForDepth.sort((a, b) => {\n        const aIndex = layerIndices[a.id];\n        const bIndex = layerIndices[b.id];\n        if (aIndex < bIndex) {\n          return -1;\n        }\n        if (aIndex > bIndex) {\n          return 1;\n        }\n        return 0;\n      });\n      for (const layer of layersForDepth) {\n        if (layer instanceof Container) {\n          this.internalContainerRefs.push(layer);\n        }\n        this.layers.push(layer);\n      }\n    }\n    this.layersByDepth = layersByDepth;\n\n    // Get sorted list of node depths;\n    depthKeys = Object.keys(nodesByDepth)\n                    .map(x => parseInt(x, 10))\n                    .sort(generic_utils.reverseNumberCompare);\n\n    // Check that all tensors required are computable.\n    // computable_tensors: all tensors in the graph\n    // that can be computed from the inputs provided.\n    const computableTensors = this.inputs.slice();\n\n    // To provide a better error msg.\n    const layersWithCompleteInput: string[] = [];\n    for (const depth of depthKeys) {\n      for (const node of nodesByDepth[depth]) {\n        const layer = node.outboundLayer;\n        if (layer != null) {\n          for (const x of node.inputTensors) {\n            if (computableTensors.indexOf(x) === -1) {\n              throw new RuntimeError(\n                  `Graph disconnected: cannot obtain value for tensor ${x}` +\n                  ` at layer \"${layer.name}\". ` +\n                  'The following previous layers were accessed without ' +\n                  `issue: ${layersWithCompleteInput}`);\n            }\n          }\n          for (const x of node.outputTensors) {\n            computableTensors.push(x);\n          }\n          layersWithCompleteInput.push(layer.name);\n        }\n      }\n    }\n\n    // Set this.containerNodes and this.nodesByDepth.\n    this.nodesByDepth = nodesByDepth;\n\n    // Ensure name unicity, which will be crucial for serialization\n    // (since serialized nodes refer to layers by their name).\n    const allNames = this.layers.map(x => x.name);\n    for (const name of allNames) {\n      const numOccurrences = allNames.filter(x => x === name).length;\n      if (numOccurrences !== 1) {\n        throw new RuntimeError(\n            `The name \"${name}\" is used ${numOccurrences} times ` +\n            'in the model. All layer names should be unique. Layer names: ' +\n            JSON.stringify(allNames));\n      }\n    }\n\n    // Layer parameters.\n    // The new container starts with a single inbound node\n    // for its inputs, and no outbound nodes.\n    // Will be appended to by future calls to apply().\n    this.outboundNodes = [];\n    // Will be appended to below, and by future calls to apply().\n    this.inboundNodes = [];\n\n    // Create the node linking internal inputs to internal outputs.\n    // (This call has side effects.)\n    // tslint:disable-next-line:no-unused-expression\n    new Node({\n      outboundLayer: this,\n      inboundLayers: [],\n      nodeIndices: [],\n      tensorIndices: [],\n      inputTensors: this.inputs,\n      outputTensors: this.outputs,\n      inputMasks: this.inputs.map(x => null),\n      outputMasks: this.outputs.map(x => null),\n      inputShapes: this.inputs.map(x => x.shape),\n      outputShapes: this.outputs.map(x => x.shape)\n    });\n    this.built = true;\n    this._refCount = 1;  // The ref count of a container always start at 1.\n  }\n\n  protected assertNotDisposed() {\n    if (this._refCount === 0) {\n      throw new Error(`Container '${this.name}' is already disposed.`);\n    }\n  }\n\n  /**\n   * Attempt to dispose a LayersModel's weights.\n   *\n   * This method decrease the reference count of the LayersModel object by 1.\n   *\n   * A LayersModel is reference-counted. Its reference count is incremented by 1\n   * when it is first constructed and when it is used as a Layer of another\n   * LayersModel.\n   *\n   * If the reference count of a LayersModel becomes 0, the `dispose` method of\n   * all its constituent `Layer`s will be called.\n   *\n   * Note: If the reference count is greater than 0 after the decrement, the\n   * `dispose` method of its constituent `Layer`s will *not* be called.\n   *\n   * After a LayersModel is disposed, it cannot be used in calls such as\n   * 'predict`, `evaluate` or `fit` anymore.\n   *\n   * @returns A DisposeResult Object with the following fields:\n   *   - refCountAfterDispose: The reference count of the LayersModel after this\n   *     `dispose()` call.\n   *   - numDisposedVariables: Number of `tf.Variable`s (i.e., weights) disposed\n   *     during this `dispose()` call.\n   * @throws {Error} If the layer is not built yet, or if the LayersModel has\n   *   already been disposed.\n   */\n  dispose(): DisposeResult {\n    this.assertNotDisposed();\n    const result:\n        DisposeResult = {refCountAfterDispose: null, numDisposedVariables: 0};\n    if (--this._refCount === 0) {\n      for (const layer of this.layers) {\n        result.numDisposedVariables += layer.dispose().numDisposedVariables;\n      }\n\n      // Call dispose on each internally created container layer again to ensure\n      // their refCounts hit zero and their tensors are subsequently deleted.\n      for (const container of this.internalContainerRefs) {\n        result.numDisposedVariables += container.dispose().numDisposedVariables;\n      }\n    }\n    result.refCountAfterDispose = this._refCount;\n    return result;\n  }\n\n  get trainable() {\n    return this.trainable_;\n  }\n\n  set trainable(trainable: boolean) {\n    this.layers.forEach(layer => {\n      // tslint:disable-next-line:no-any\n      ((layer as any)._trainableWeights as LayerVariable[])\n          .forEach(w => w.trainable = trainable);\n    });\n    this.trainable_ = trainable;\n  }\n\n  get trainableWeights(): LayerVariable[] {\n    // Porting Note: This check below is to prevent errors where the\n    //   _trainableWeights inherited from the parent class (Layer) gets\n    //   inadvertently used.\n    if (this._trainableWeights.length > 0) {\n      throw new ValueError(\n          'Container instance unexpectedly contains _trainableWeights.' +\n          'The trainable weights of a Container are a union of the ' +\n          'trainable weights of its consituent Layers. Its own ' +\n          '_trainableWeights must remain an empty Array.');\n    }\n\n    if (!this.trainable) {\n      return [];\n    }\n    let weights: LayerVariable[] = [];\n    for (const layer of this.layers) {\n      weights = weights.concat(layer.trainableWeights);\n    }\n    return weights;\n  }\n\n  get nonTrainableWeights(): LayerVariable[] {\n    const weights: LayerVariable[] = [];\n    for (const layer of this.layers) {\n      weights.push(...layer.nonTrainableWeights);\n    }\n    if (!this.trainable) {\n      const trainableWeights: LayerVariable[] = [];\n      for (const layer of this.layers) {\n        trainableWeights.push(...layer.trainableWeights);\n      }\n      return trainableWeights.concat(weights);\n    }\n    return weights;\n  }\n\n  get weights(): LayerVariable[] {\n    return this.trainableWeights.concat(this.nonTrainableWeights);\n  }\n\n  /**\n   * Loads all layer weights from a JSON object.\n   *\n   * Porting Note: HDF5 weight files cannot be directly loaded in JavaScript /\n   *   TypeScript. The utility script at `scripts/pykeras.py` offers means\n   *   to convert them into JSON strings compatible with this method.\n   * Porting Note: TensorFlow.js Layers supports only loading by name currently.\n   *\n   * @param weights A JSON mapping weight names to weight values as nested\n   *   arrays of numbers, or a `NamedTensorMap`, i.e., a JSON mapping weight\n   *   names to `tf.Tensor` objects.\n   * @param strict Require that the provided weights exactly match those\n   *   required by the container.  Default: `true`.  Passing `false` means that\n   *   extra weights and missing weights will be silently ignored.\n   */\n  loadWeights(weights: NamedTensorMap, strict = true) {\n    const nameToWeight: {[name: string]: LayerVariable} = {};\n    let totalWeightsCount = 0;\n    for (const layer of this.layers) {\n      for (const weight of layer.weights) {\n        if (nameToWeight[weight.originalName] != null) {\n          throw new ValueError(`Duplicate weight name: ${weight.originalName}`);\n        }\n        nameToWeight[weight.originalName] = weight;\n        totalWeightsCount++;\n      }\n    }\n\n    const weightValueTuples: Array<[LayerVariable, Tensor]> = [];\n    for (const name in weights) {\n      if (nameToWeight[name] != null) {\n        weightValueTuples.push([nameToWeight[name], weights[name]]);\n      } else if (strict) {\n        throw new ValueError(\n            `Provided weight data has no target variable: ${name}`);\n      }\n      delete nameToWeight[name];\n    }\n\n    if (strict) {\n      // Check that all weights are set.\n      const unsetNames: string[] = [];\n      for (const name in nameToWeight) {\n        unsetNames.push(name);\n      }\n      if (unsetNames.length > 0) {\n        throw new ValueError(\n            `${unsetNames.length} of ${\n                totalWeightsCount} weights are not set: ` +\n            `${unsetNames}`);\n      }\n    }\n\n    batchSetValue(weightValueTuples);\n  }\n\n  /**\n   * Util shared between different serialization methods.\n   * @returns LayersModel config with Keras version information added.\n   */\n  protected updatedConfig(): serialization.ConfigDict {\n    const theConfig = this.getConfig();\n    const modelConfig: serialization.ConfigDict = {};\n    modelConfig['className'] = this.getClassName();\n    modelConfig['config'] = theConfig;\n    modelConfig['kerasVersion'] = `tfjs-layers ${layersVersion}`;\n    // TODO(nielsene): Replace something like K.backend() once\n    // possible.\n    modelConfig['backend'] = 'TensorFlow.js';\n    return modelConfig;\n  }\n\n  /**\n   * Returns a JSON string containing the network configuration.\n   *\n   * To load a network from a JSON save file, use\n   * models.modelFromJSON(jsonString);\n   * @param extraJsonArgs Unused in tfjs-layers, maintained for PyKeras\n   * @param returnString Whether the return value should be stringified\n   *    (default: `true`).\n   * @returns a JSON string if `returnString` (default), or a JSON object if\n   *   `!returnString`.\n   */\n  // tslint:disable-next-line:no-any\n  toJSON(unused?: any, returnString = true): string|PyJsonDict {\n    const modelConfig = convertTsToPythonic(this.updatedConfig()) as PyJsonDict;\n    return returnString ? JSON.stringify(modelConfig) : modelConfig;\n  }\n\n  /**\n   * Call the model on new inputs.\n   *\n   * In this case `call` just reapplies all ops in the graph to the new inputs\n   * (e.g. build a new computational graph from the provided inputs).\n   *\n   * @param inputs A tensor or list of tensors.\n   * @param mask A mask or list of masks. A mask can be either a tensor or null\n   *   (no mask).\n   *\n   * @return A tensor if there is a single output, or a list of tensors if there\n   *   are more than one outputs.\n   */\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      inputs = generic_utils.toList(inputs);\n      const feedDict = new FeedDict();\n      for (let i = 0; i < this.inputs.length; ++i) {\n        feedDict.add(this.inputs[i], inputs[i]);\n      }\n      return execute(this.outputs, feedDict, kwargs) as Tensor | Tensor[];\n    });\n  }\n\n  /**\n   * Computes an output mask tensor.\n   *\n   * @param inputs Tensor or list of tensors.\n   * @param mask Tensor or list of tensors.\n   *\n   * @return null or a tensor (or list of tensors, one per output tensor of the\n   * layer).\n   */\n  computeMask(inputs: Tensor|Tensor[], mask?: Tensor|Tensor[]): Tensor\n      |Tensor[] {\n    return tidy(() => {\n      inputs = generic_utils.toList(inputs);\n      let masks: Tensor[];\n      if (mask == null) {\n        masks = generic_utils.pyListRepeat(null, inputs.length);\n      } else {\n        masks = generic_utils.toList(mask);\n      }\n      // TODO(michaelterry): Add support for mask caching.\n      return this.runInternalGraph(inputs, masks)[1];\n    });\n  }\n\n  /**\n   * Computes the output shape of the layer.\n   *\n   * Assumes that the layer will be built to match that input shape provided.\n   *\n   * @param inputShape A shape (tuple of integers) or a list of shape tuples\n   *   (one per output tensor of the layer). Shape tuples can include null for\n   *   free dimensions, instead of an integer.\n   */\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    const inputShapes = types_utils.normalizeShapeList(inputShape);\n    if (inputShapes.length !== this.inputLayers.length) {\n      throw new ValueError(\n          `Invalid inputShape argument ${inputShape}: ` +\n          `model has ${this.inputLayers.length} tensor inputs.`);\n    }\n\n    // TODO(michaelterry): Add caching\n    const layersToOutputShapes: {[shapeKey: string]: Shape} = {};\n    for (let i = 0; i < inputShapes.length; i++) {\n      const layer = this.inputLayers[i];\n      const inputShape = inputShapes[i];\n      // It's an input layer: computeOutputShape is identity,\n      // and there is only one node and one tensor output.\n      const shapeKey = layer.name + '_0_0';\n      layersToOutputShapes[shapeKey] = inputShape;\n    }\n\n    const depthKeys = Object.keys(this.nodesByDepth)\n                          .map(x => parseInt(x, 10))\n                          .sort(generic_utils.reverseNumberCompare);\n    // Iterate over nodes, by depth level.\n    if (depthKeys.length > 1) {\n      for (const depth of depthKeys) {\n        const nodes = this.nodesByDepth[depth];\n        for (const node of nodes) {\n          // This is always a single layer, never a list.\n          const layer = node.outboundLayer;\n          if (this.inputLayers.map(x => x.id).indexOf(layer.id) !== -1) {\n            // We've already covered the input layers a few lines above.\n            continue;\n          }\n          // Potentially redundant list, same size of node.inputTensors.\n          const inputShapes: Shape[] = [];\n          for (let j = 0; j < node.inboundLayers.length; j++) {\n            const inboundLayer = node.inboundLayers[j];\n            const nodeIndex = node.nodeIndices[j];\n            const tensorIndex = node.tensorIndices[j];\n            const shapeKey = `${inboundLayer.name}_${nodeIndex}_${tensorIndex}`;\n            const inputShape = layersToOutputShapes[shapeKey];\n            inputShapes.push(inputShape);\n          }\n\n          const outputShape = layer.computeOutputShape(\n              generic_utils.singletonOrArray(inputShapes));\n\n          const outputShapes = types_utils.normalizeShapeList(outputShape);\n          const nodeIndex = layer.inboundNodes.indexOf(node);\n          for (let j = 0; j < outputShapes.length; j++) {\n            const shapeKey = `${layer.name}_${nodeIndex}_${j}`;\n            layersToOutputShapes[shapeKey] = outputShapes[j];\n          }\n        }\n      }\n    }\n\n    // Read final output shapes from layersToOutputShapes.\n    const outputShapes: Shape[] = [];\n    const outputShapeKeys: string[] = [];\n    for (let i = 0; i < this.outputLayers.length; i++) {\n      const layer = this.outputLayers[i];\n      const nodeIndex = this.outputLayersNodeIndices[i];\n      const tensorIndex = this.outputLayersTensorIndices[i];\n      const shapeKey = `${layer.name}_${nodeIndex}_${tensorIndex}`;\n      outputShapeKeys.push(shapeKey);\n    }\n\n    for (let i = 0; i < outputShapeKeys.length; i++) {\n      const key = outputShapeKeys[i];\n      generic_utils.assert(key in layersToOutputShapes);\n      outputShapes.push(layersToOutputShapes[key]);\n    }\n\n    // TODO(michaelterry): Update cache\n    return generic_utils.singletonOrArray(outputShapes);\n  }\n\n  /**\n   * Computes output tensors for new inputs.\n   *\n   * Note:\n   *   - Expects `inputs` to be a list (potentially with 1 element).\n   *\n   * @param inputs List of tensors\n   * @param masks List of masks (tensors or null).\n   * @return Three lists: outputTensors, outputMasks, outputShapes\n   */\n  protected runInternalGraph(inputs: Tensor[], masks?: Tensor[]):\n      [Tensor[], Tensor[], Shape[]] {\n    if (masks == null) {\n      masks = generic_utils.pyListRepeat(null, inputs.length);\n    }\n\n    // Dictionary mapping reference tensors to tuples\n    // (computed tensor, compute mask)\n    // we assume a 1:1 mapping from tensor to mask\n    // TODO: raise exception when a `.computeMask()` call\n    // does not return a list the same size as `call`\n    const tensorMap: {[tensorID: string]: [Tensor, Tensor]} = {};\n    for (let i = 0; i < this.inputs.length; ++i) {\n      const x = this.inputs[i];\n      const y = inputs[i];\n      const mask = masks[i];\n      tensorMap[x.id] = [y, mask];\n    }\n\n    const depthKeys = Object.keys(this.nodesByDepth)\n                          .map(x => parseInt(x, 10))\n                          .sort(generic_utils.reverseNumberCompare);\n    for (const depth of depthKeys) {\n      const nodes = this.nodesByDepth[depth];\n      for (const node of nodes) {\n        // This is always a single layer, never a list.\n        const layer = node.outboundLayer;\n        const referenceInputTensors = node.inputTensors;\n        const referenceOutputTensors = node.outputTensors;\n\n        // If all previous input tensors are available in tensorMap,\n        // then call node.inboundLayer on them.\n        // List of tuples [input, mask]:\n        const computedData = new Array<[Tensor, Tensor]>();\n        for (const x of referenceInputTensors) {\n          if (x.id in tensorMap) {\n            computedData.push(tensorMap[x.id]);\n          }\n        }\n        if (computedData.length === referenceInputTensors.length) {\n          // TODO(michaelterry): Add K.name_scope here, if we need it.\n          let kwargs: Kwargs = {};\n          let computedTensors: Tensor[];\n          let computedMasks: Tensor[];\n          let outputTensors: Tensor[];\n          let outputMasks: Tensor[];\n          // call layer\n          if (node.callArgs != null) {\n            kwargs = node.callArgs;\n          }\n          if (computedData.length === 1) {\n            const [computedTensor, computedMask] = computedData[0];\n            if (kwargs['mask'] == null) {\n              kwargs['mask'] = computedMask;\n            }\n            outputTensors =\n                generic_utils.toList(layer.call(computedTensor, kwargs));\n            outputMasks = generic_utils.toList(\n                layer.computeMask(computedTensor, computedMask));\n            computedTensors = [computedTensor];\n            computedMasks = [computedMask];\n          } else {\n            computedTensors = computedData.map(x => x[0]);\n            computedMasks = computedData.map(x => x[1]);\n            if (kwargs['mask'] == null) {\n              kwargs['mask'] = computedMasks;\n            }\n            outputTensors =\n                generic_utils.toList(layer.call(computedTensors, kwargs));\n            outputMasks = generic_utils.toList(\n                layer.computeMask(computedTensors, computedMasks));\n          }\n\n          if (layer.activityRegularizer) {\n            throw new NotImplementedError(\n                'LayersModel invocation with concrete Tensor value(s) in the ' +\n                'presence of activity regularizer(s) is not supported yet.');\n          }\n          // TODO(michaelterry): Add model updates and losses\n\n          // Update tensor map.\n          for (let i = 0; i < referenceOutputTensors.length; ++i) {\n            const x = referenceOutputTensors[i];\n            const y = outputTensors[i];\n            const mask = outputMasks[i];\n            tensorMap[x.id] = [y, mask];\n          }\n        }\n      }\n    }\n\n    const outputTensors: Tensor[] = [];\n    const outputMasks: Tensor[] = [];\n    const outputShapes: Shape[] = [];\n    for (const x of this.outputs) {\n      generic_utils.assert(\n          x.id in tensorMap, `Could not compute output ${x.name} : ${x.id}`);\n      const [tensor, mask] = tensorMap[x.id];\n      outputShapes.push(tensor.shape);\n      outputTensors.push(tensor);\n      outputMasks.push(mask);\n    }\n\n    // TODO(michaelterry): Add support for caches.\n    return [outputTensors, outputMasks, outputShapes];\n  }\n\n  /**\n   * Builds a map of internal node keys to node ordering.\n   * Used in serializaion a node orderings may change as unused nodes are\n   * dropped. Porting Note:  This helper method was pulled out of getConfig to\n   * improve readability.\n   * @param layers An array of Layers in the model.\n   * @returns Map of Node Keys to index order within the layer.\n   */\n  private buildNodeConversionMap(layers: Layer[]): {[nodeKey: string]: number} {\n    const nodeConversionMap: {[nodeKey: string]: number} = {};\n    let keptNodes: number;\n    for (const layer of this.layers) {\n      keptNodes = layer instanceof Container ? 1 : 0;\n      for (let originalNodeIndex = 0;\n           originalNodeIndex < layer.inboundNodes.length; originalNodeIndex++) {\n        const nodeKey = Container.nodeKey(layer, originalNodeIndex);\n        if (this.containerNodes.has(nodeKey)) {\n          // i.e. we mark it to be saved\n          nodeConversionMap[nodeKey] = keptNodes;\n          keptNodes += 1;\n        }\n      }\n    }\n    return nodeConversionMap;\n  }\n\n  /**\n   * Retrieves a layer based on either its name (unique) or index.\n   *\n   * Indices are based on order of horizontal graph traversal (bottom-up).\n   *\n   * If both `name` and `index` are specified, `index` takes precedence.\n   *\n   * @param name Name of layer.\n   * @param index Index of layer.\n   * @returns A Layer instance.\n   * @throws ValueError: In case of invalid layer name or index.\n   */\n  /**\n   * @doc {\n   *    heading: 'Layers',\n   *    subheading: 'Classes',\n   *    namespace: 'layers',\n   *    subclasses: ['LayersModel']\n   * }\n   */\n  getLayer(name?: string, index?: number): Layer {\n    if (index != null) {\n      if (this.layers.length <= index) {\n        throw new ValueError(\n            `Was asked to retrieve layer at index ${index}, but model only ` +\n            `has ${this.layers.length} layer(s).`);\n      } else {\n        return this.layers[index];\n      }\n    } else {\n      if (name == null) {\n        throw new ValueError('Provide either a layer name or layer index');\n      }\n    }\n\n    for (const layer of this.layers) {\n      if (layer.name === name) {\n        return layer;\n      }\n    }\n    throw new ValueError(`No such layer: ${name}`);\n  }\n\n  /**\n   * Retrieves the Container's current loss values.\n   *\n   * Used for regularizers during training.\n   */\n  calculateLosses(): Scalar[] {\n    // Porting Node: This is an augmentation to Container.loss in PyKeras.\n    //   In PyKeras, Container.loss returns symbolic tensors. Here a concrete\n    //   Tensor (specifically Scalar) values are returned. This is due to the\n    //   imperative backend.\n    return tidy(() => {\n      const losses: Scalar[] = [];\n      for (const layer of this.layers) {\n        for (let nodeIndex = 0; nodeIndex < layer.inboundNodes.length;\n             ++nodeIndex) {\n          const nodeKey = Container.nodeKey(layer, nodeIndex);\n          if (this.containerNodes.has(nodeKey)) {\n            losses.push(...layer.calculateLosses());\n          }\n        }\n      }\n      // TODO(cais): Add any unconditional model-level losses?\n      return losses;\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {name: this.name};\n\n    // Build a map from layer unique name (self._node_key)\n    // to the index of the nodes that are saved in the config.\n    // Only nodes in container_nodes are saved.\n    const nodeConversionMap: {[nodeKey: string]: number} =\n        this.buildNodeConversionMap(this.layers);\n\n    // Serialize and save the layers in layerConfigs\n    const layerConfigs = [];\n    for (const layer of this.layers) {\n      const layerClassName = layer.getClassName();\n      const layerConfig = layer.getConfig();\n      const filteredInboundNodes = [];\n      for (let originalNodeIndex = 0;\n           originalNodeIndex < layer.inboundNodes.length; originalNodeIndex++) {\n        const node = layer.inboundNodes[originalNodeIndex];\n        const nodeKey = Container.nodeKey(layer, originalNodeIndex);\n        let kwargs = {};\n        if (this.containerNodes.has(nodeKey)) {\n          // The node is relevant to the model:\n          // add to filteredInboundNodes.\n          if (node.callArgs) {\n            try {\n              JSON.stringify(node.callArgs);\n              kwargs = node.callArgs;\n            } catch (err) {\n              console.warn(\n                  `Layer ${layer.name} was passed ` +\n                  `non-serializable keyword arguments: ` +\n                  `${node.callArgs}. They will not be included ` +\n                  `in the serialized model (and thus will be ` +\n                  `missing at deserialization time).`);\n              kwargs = {};\n            }\n          }\n          if (node.inboundLayers.length > 0) {\n            const nodeData = [];\n            for (let i = 0; i < node.inboundLayers.length; i++) {\n              const inboundLayer = node.inboundLayers[i];\n              const nodeIndex = node.nodeIndices[i];\n              const tensorIndex = node.tensorIndices[i];\n              const nodeKey = Container.nodeKey(inboundLayer, nodeIndex);\n              let newNodeIndex = nodeConversionMap[nodeKey];\n              if (newNodeIndex == null) {\n                newNodeIndex = 0;\n              }\n              nodeData.push(\n                  [inboundLayer.name, newNodeIndex, tensorIndex, kwargs]);\n            }\n            filteredInboundNodes.push(nodeData);\n          }\n        }\n      }\n      const dict: serialization.ConfigDict = {};\n      dict['name'] = layer.name;\n      dict['className'] = layerClassName;\n      dict['config'] = layerConfig;\n      dict['inboundNodes'] = filteredInboundNodes;\n      layerConfigs.push(dict);\n    }\n    config['layers'] = layerConfigs;\n    // Gather info about inputs and outputs\n    const modelInputs = [];\n    for (let i = 0; i < this.inputLayers.length; i++) {\n      const layer = this.inputLayers[i];\n      const nodeIndex = this.inputLayersNodeIndices[i];\n\n      const nodeKey = Container.nodeKey(layer, nodeIndex);\n      if (!this.containerNodes.has(nodeKey)) {\n        continue;\n      }\n      let newNodeIndex = nodeConversionMap[nodeKey];\n      if (newNodeIndex === null || newNodeIndex === undefined) {\n        newNodeIndex = 0;\n      }\n      const tensorIndex = this.inputLayersTensorIndices[i];\n      modelInputs.push([layer.name, newNodeIndex, tensorIndex]);\n    }\n    config['inputLayers'] = modelInputs;\n\n    const modelOutputs = [];\n    for (let i = 0; i < this.outputLayers.length; i++) {\n      const layer = this.outputLayers[i];\n      const nodeIndex = this.outputLayersNodeIndices[i];\n\n      const nodeKey = Container.nodeKey(layer, nodeIndex);\n      if (!this.containerNodes.has(nodeKey)) {\n        continue;\n      }\n      let newNodeIndex = nodeConversionMap[nodeKey];\n      if (newNodeIndex === null || newNodeIndex === undefined) {\n        newNodeIndex = 0;\n      }\n      const tensorIndex = this.outputLayersTensorIndices[i];\n      modelOutputs.push([layer.name, newNodeIndex, tensorIndex]);\n    }\n    config['outputLayers'] = modelOutputs;\n    return config;\n  }\n\n  /**\n   * Instantiates a LayersModel from its config (output of `get_config()`).\n   * @param cls the class to create\n   * @param config LayersModel config dictionary.\n   * @param customObjects An optional dictionary of custom objects.\n   * @param fastWeightInit Optional flag to use fast weight initialization\n   *   during deserialization. This is applicable to cases in which\n   *   the initialization will be immediately overwritten by loaded weight\n   *   values. Default: `false`.\n   * @returns A LayersModel instance.\n   * @throws ValueError: In case of improperly formatted config dict.\n   */\n  /** @nocollapse */\n  static fromConfig<T extends serialization.Serializable>(\n      cls: serialization.SerializableConstructor<T>,\n      config: serialization.ConfigDict,\n      customObjects = {} as serialization.ConfigDict,\n      fastWeightInit = false): T {\n    // Layer instances created during\n    // the graph reconstruction process\n    const createdLayers: {[layerName: string]: Layer} = {};\n\n    // Dictionary mapping layer instances to\n    // node data that specifies a layer call.\n    // It acts as a queue that maintains any unprocessed\n    // layer call until it becomes possible to process it\n    // (i.e. until the input tensors to the call all exist).\n    const unprocessedNodes: {[layer: string]: TensorKeyWithArgsArray[][]} = {};\n    function addUnprocessedNode(\n        layer: Layer, nodeData: TensorKeyWithArgsArray[]) {\n      if (!(layer.name in unprocessedNodes)) {\n        unprocessedNodes[layer.name] = [nodeData];\n      } else {\n        unprocessedNodes[layer.name].push(nodeData);\n      }\n    }\n\n    function processNode(layer: Layer, nodeData: TensorKeyWithArgsArray[]) {\n      const inputTensors: SymbolicTensor[] = [];\n      let kwargs;\n      for (const inputData of nodeData) {\n        const inboundLayerName = inputData[0];\n        const inboundNodeIndex = inputData[1];\n        const inboundTensorIndex = inputData[2];\n\n        kwargs = inputData[3] == null ?\n            {} :\n            inputData[3] as serialization.ConfigDict;\n        if (!(inboundLayerName in createdLayers)) {\n          addUnprocessedNode(layer, nodeData);\n          return;\n        }\n        const inboundLayer = createdLayers[inboundLayerName];\n        if (inboundLayer.inboundNodes.length <= inboundNodeIndex) {\n          addUnprocessedNode(layer, nodeData);\n          return;\n        }\n        const inboundNode = inboundLayer.inboundNodes[inboundNodeIndex];\n        inputTensors.push(inboundNode.outputTensors[inboundTensorIndex]);\n      }\n      // Call layer on its inputs, thus creating the node\n      // and building the layer if needed.\n      // Note: This has Eager vs Graph Implications.\n      if (inputTensors.length > 0) {\n        layer.apply(\n            generic_utils.singletonOrArray(inputTensors),\n            kwargs);  // was ** kwargs\n      }\n    }\n\n    /**\n     * Deserialize a layer, then call it on appropriate inputs.\n     * @param layerData: layer config dict.\n     * @throws ValueError: In case of improperly formatted `layer_data`\n     * dict.\n     */\n    function processLayer(layerData: serialization.ConfigDict|null) {\n      const layerName = layerData['name'] as string;\n      // Instantiate layer.\n      const layer =\n          deserializeLayer(\n              layerData,\n              config['customObjects'] != null ?\n                  config['customObjects'] as serialization.ConfigDict :\n                  {}) as Layer;\n      layer.setFastWeightInitDuringBuild(fastWeightInit);\n      createdLayers[layerName] = layer;\n      // Gather layer inputs.\n      const inboundNodesData =\n          layerData['inboundNodes'] as TensorKeyWithArgsArray[][];\n      inboundNodesData.forEach(nodeData => {\n        if (!(nodeData instanceof Array)) {\n          throw new ValueError(\n              `Corrupted configuration, expected array for nodeData: ${\n                  nodeData}`);\n        }\n        // We don't process nodes (i.e. make layer calls)\n        // on the fly because the inbound node may not yet exist,\n        // in case of layer shared at different topological depths\n        // (e.g.a model such as A(B(A(B(x)))))\n        addUnprocessedNode(layer, nodeData);\n      });\n    }\n\n    // First, we create all layers and enqueue nodes to be processed.\n    const name = config['name'];\n    const layersFromConfig = config['layers'] as serialization.ConfigDict[];\n    for (const layerData of layersFromConfig) {\n      processLayer(layerData);\n    }\n\n    // Then we process nodes in order of layer depth.\n    // Nodes that cannot yet be processed(if the inbound node\n    // does not yet exist) are re - enqueued, and the process\n    // is repeated until all nodes are processed.\n    while (!generic_utils.isObjectEmpty(unprocessedNodes)) {\n      for (const layerData of layersFromConfig) {\n        const layer = createdLayers[layerData['name'] as string];\n        if (layer.name in unprocessedNodes) {\n          const currentUnprocessedNodesForLayer = unprocessedNodes[layer.name];\n          delete unprocessedNodes[layer.name];\n          for (const nodeData of currentUnprocessedNodesForLayer) {\n            processNode(layer, nodeData);\n          }\n        }\n      }\n    }\n\n    const inputTensors: SymbolicTensor[] = [];\n    const outputTensors: SymbolicTensor[] = [];\n    const inputLayersFromConfig =\n        config['inputLayers'] as serialization.ConfigDict[];\n    for (const layerData of inputLayersFromConfig) {\n      const layerName = layerData[0] as string;\n      const nodeIndex = layerData[1] as number;\n      const tensorIndex = layerData[2] as number;\n      generic_utils.assert(layerName in createdLayers);\n      const layer = createdLayers[layerName];\n      const layerOutputTensors = layer.inboundNodes[nodeIndex].outputTensors;\n      inputTensors.push(layerOutputTensors[tensorIndex]);\n    }\n    const outputLayersFromConfig =\n        config['outputLayers'] as serialization.ConfigDict[];\n    for (const layerData of outputLayersFromConfig) {\n      const layerName = layerData[0] as string;\n      const nodeIndex = layerData[1] as number;\n      const tensorIndex = layerData[2] as number;\n      generic_utils.assert(layerName in createdLayers);\n      const layer = createdLayers[layerName];\n      const layerOutputTensors = layer.inboundNodes[nodeIndex].outputTensors;\n      outputTensors.push(layerOutputTensors[tensorIndex]);\n    }\n    return new cls({inputs: inputTensors, outputs: outputTensors, name});\n  }\n\n  /**\n   * Determine whether the container is stateful.\n   *\n   * Porting Note: this is the equivalent of the stateful @property of\n   *   the Container class in PyKeras.\n   */\n  get stateful(): boolean {\n    // Porting Note: This check is to prevent inadvertent setting of the\n    //   _stateful property of the Container instance.\n    if (this._stateful) {\n      throw new ValueError(\n          'Container instance unexpectedly has _stateful = true. The ' +\n          'statefulness of a Container is determined by the Layers it ' +\n          'contains. Its _stateful property must remain the default false.');\n    }\n    for (const layer of this.layers) {\n      if (layer.stateful) {\n        return true;\n      }\n    }\n    return false;\n  }\n\n  /**\n   * Reset the state of all stateful constituent layers (if any).\n   *\n   * Examples of stateful layers include RNN layers whose `stateful` property\n   * is set as `true`.\n   */\n  resetStates() {\n    tidy(() => {\n      this.layers.forEach(layer => {\n        // tslint:disable:no-any\n        if (layer.stateful) {\n          layer.resetStates();\n        }\n        // tslint:enable:no-any\n      });\n    });\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport {dispose, mul, Tensor, Tensor1D, tensor1d, tidy} from '@tensorflow/tfjs-core';\n\n/**\n * For multi-class classification problems, this object is designed to store a\n * mapping from class index to the \"weight\" of the class, where higher weighted\n * classes have larger impact on loss, accuracy, and other metrics.\n *\n * This is useful for cases in which you want the model to \"pay more attention\"\n * to examples from an under-represented class, e.g., in unbalanced datasets.\n */\nexport type ClassWeight = {\n  [classIndex: number]: number\n};\n\n/**\n * Class weighting for a model with multiple outputs.\n *\n * This object maps each output name to a class-weighting object.\n */\nexport type ClassWeightMap = {\n  [outputName: string]: ClassWeight\n};\n\nfunction standardizeSampleOrClassWeights(\n    xWeight: ClassWeight|ClassWeight[]|ClassWeightMap, outputNames: string[],\n    weightType: 'sampleWeight'|'classWeight'): ClassWeight[] {\n  const numOutputs = outputNames.length;\n  if (xWeight == null || (Array.isArray(xWeight) && xWeight.length === 0)) {\n    return outputNames.map(name => null);\n  }\n  if (numOutputs === 1) {\n    if (Array.isArray(xWeight) && xWeight.length === 1) {\n      return xWeight;\n    } else if (typeof xWeight === 'object' && outputNames[0] in xWeight) {\n      return [(xWeight as ClassWeightMap)[outputNames[0]]];\n    } else {\n      return [xWeight as ClassWeight];\n    }\n  }\n  if (Array.isArray(xWeight)) {\n    if (xWeight.length !== numOutputs) {\n      throw new Error(\n          `Provided ${weightType} is an array of ${xWeight.length} ` +\n          `element(s), but the model has ${numOutputs} outputs. ` +\n          `Make sure a set of weights is provided for each model output.`);\n    }\n    return xWeight;\n  } else if (\n      typeof xWeight === 'object' && Object.keys(xWeight).length > 0 &&\n      typeof (xWeight as ClassWeightMap)[Object.keys(xWeight)[0]] ===\n          'object') {\n    const output: ClassWeight[] = [];\n    outputNames.forEach(outputName => {\n      if (outputName in xWeight) {\n        output.push((xWeight as ClassWeightMap)[outputName]);\n      } else {\n        output.push(null);\n      }\n    });\n    return output;\n  } else {\n    throw new Error(\n        `The model has multiple (${numOutputs}) outputs, ` +\n        `so ${weightType} must be either an array with ` +\n        `${numOutputs} elements or an object with ${outputNames} keys. ` +\n        `Provided ${weightType} not understood: ${JSON.stringify(xWeight)}`);\n  }\n}\n\n/**\n * Standardize class weighting objects.\n *\n * This function takes a single class-weighting object, an array of them,\n * or a map from output name to class-weighting object. It compares it to the\n * output name(s) of the model, base on which it outputs an array of\n * class-weighting objects of which the length matches the number of outputs.\n *\n * @param classWeight Input class-weighting object(s).\n * @param outputNames All output name(s) of the model.\n * @return An array of class-weighting objects. The length of the array matches\n *   the model's number of outputs.\n */\nexport function standardizeClassWeights(\n    classWeight: ClassWeight|ClassWeight[]|ClassWeightMap,\n    outputNames: string[]): ClassWeight[] {\n  return standardizeSampleOrClassWeights(\n      classWeight, outputNames, 'classWeight');\n}\n\nexport function standardizeSampleWeights(\n    classWeight: ClassWeight|ClassWeight[]|ClassWeightMap,\n    outputNames: string[]): ClassWeight[] {\n  return standardizeSampleOrClassWeights(\n      classWeight, outputNames, 'sampleWeight');\n}\n\n/**\n * Standardize by-sample and/or by-class weights for training.\n *\n * Note that this function operates on one model output at a time. For a model\n * with multiple outputs, you must call this function multiple times.\n *\n * @param y The target tensor that the by-sample and/or by-class weight is for.\n *     The values of y are assumed to encode the classes, either directly\n *     as an integer index, or as one-hot encoding.\n * @param sampleWeight By-sample weights.\n * @param classWeight By-class weights: an object mapping class indices\n *     (integers) to a weight (float) to apply to the model's loss for the\n *     samples from this class during training. This can be useful to tell the\n *     model to \"pay more attention\" to samples from an under-represented class.\n * @param sampleWeightMode The mode for the sample weights.\n * @return A Promise of weight tensor, of which the size of the first dimension\n *     matches that of `y`.\n */\nexport async function standardizeWeights(\n    y: Tensor, sampleWeight?: Tensor, classWeight?: ClassWeight,\n    sampleWeightMode?: 'temporal'): Promise<Tensor> {\n  if (sampleWeight != null || sampleWeightMode != null) {\n    // TODO(cais): Once 'temporal' mode is implemented, document it in the doc\n    // string.\n    throw new Error('Support sampleWeight is not implemented yet');\n  }\n\n  if (classWeight != null) {\n    // Apply class weights per sample.\n    const yClasses: Tensor1D = tidy(() => {\n      if (y.shape.length === 1) {\n        // Assume class indices.\n        return y.clone() as Tensor1D;\n      } else if (y.shape.length === 2) {\n        if (y.shape[1] > 1) {\n          // Assume one-hot encoding of classes.\n          const axis = 1;\n          return y.argMax(axis);\n        } else if (y.shape[1] === 1) {\n          // Class index.\n          return y.reshape([y.shape[0]]);\n        } else {\n          throw new Error(\n              `Encountered unexpected last-dimension size (${y.shape[1]}) ` +\n              `during handling of class weights. The size is expected to be ` +\n              `>= 1.`);\n        }\n      } else {\n        throw new Error(\n            `Unexpected rank of target (y) tensor (${y.rank}) during ` +\n            `handling of class weights. The rank is expected to be 1 or 2.`);\n      }\n    });\n\n    const yClassIndices = Array.from(await yClasses.data());\n    dispose(yClasses);\n    const classSampleWeight: number[] = [];\n    yClassIndices.forEach(classIndex => {\n      if (classWeight[classIndex] == null) {\n        throw new Error(\n            `classWeight must contain all classes in the training data. ` +\n            `The class ${classIndex} exists in the data but not in ` +\n            `classWeight`);\n      } else {\n        classSampleWeight.push(classWeight[classIndex]);\n      }\n    });\n\n    return tensor1d(classSampleWeight, 'float32');\n  } else {\n    return null;\n  }\n}\n\n/**\n * Apply per-sample weights on the loss values from a number of samples.\n *\n * @param losses Loss tensor of shape `[batchSize]`.\n * @param sampleWeights Per-sample weight tensor of shape `[batchSize]`.\n * @returns Tensor of the same shape as`losses`.\n */\nexport function computeWeightedLoss(losses: Tensor, sampleWeights: Tensor) {\n  return mul(losses, sampleWeights);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Interfaces and methods for training models using TensorFlow.js datasets.\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar} from '@tensorflow/tfjs-core';\nimport {BaseCallback, configureCallbacks, CustomCallbackArgs, History, ModelLoggingVerbosity, standardizeCallbacks, YieldEveryOptions} from '../base_callbacks';\nimport {NotImplementedError, ValueError} from '../errors';\nimport {disposeTensorsInLogs, UnresolvedLogs} from '../logs';\nimport {TensorOrArrayOrMap} from '../types';\nimport {singletonOrArray, toList} from '../utils/generic_utils';\n\nimport {Dataset, LazyIterator} from './dataset_stub';\nimport {ClassWeight, ClassWeightMap, standardizeClassWeights, standardizeWeights} from './training_utils';\n\n/**\n * Interface for configuring model training based on a dataset object.\n */\nexport interface ModelFitDatasetArgs<T> {\n  /**\n   * (Optional) Total number of steps (batches of samples) before\n   * declaring one epoch finished and starting the next epoch. It should\n   * typically be equal to the number of samples of your dataset divided by\n   * the batch size, so that `fitDataset`() call can utilize the entire dataset.\n   * If it is not provided, use `done` return value in `iterator.next()` as\n   * signal to finish an epoch.\n   */\n  batchesPerEpoch?: number;\n\n  /**\n   * The number of times to iterate over the training dataset.\n   *\n   * An integer.\n   */\n  epochs: number;\n\n  /**\n   * Verbosity level.\n   *\n   * Expected to be 0, 1, or 2. Default: 1.\n   *\n   * 0 - No printed message during fit() call.\n   * 1 - In Node.js (tfjs-node), prints the progress bar, together with\n   *     real-time updates of loss and metric values and training speed.\n   *     In the browser: no action. This is the default.\n   * 2 - Not implemented yet.\n   */\n  verbose?: ModelLoggingVerbosity;\n\n  /**\n   * List of callbacks to be called during training.\n   * Can have one or more of the following callbacks:\n   *   - `onTrainBegin(logs)`: called when training starts.\n   *   - `onTrainEnd(logs)`: called when training ends.\n   *   - `onEpochBegin(epoch, logs)`: called at the start of every epoch.\n   *   - `onEpochEnd(epoch, logs)`: called at the end of every epoch.\n   *   - `onBatchBegin(batch, logs)`: called at the start of every batch.\n   *   - `onBatchEnd(batch, logs)`: called at the end of every batch.\n   *   - `onYield(epoch, batch, logs)`: called every `yieldEvery` milliseconds\n   *      with the current epoch, batch and logs. The logs are the same\n   *      as in `onBatchEnd()`. Note that `onYield` can skip batches or\n   *      epochs. See also docs for `yieldEvery` below.\n   */\n  callbacks?: BaseCallback[]|CustomCallbackArgs|CustomCallbackArgs[];\n\n  /**\n   * Data on which to evaluate the loss and any model\n   * metrics at the end of each epoch. The model will not be trained on this\n   * data. This could be any of the following:\n   *\n   *   - An array `[xVal, yVal]`, where the two values may be `tf.Tensor`,\n   *     an array of Tensors, or a map of string to Tensor.\n   *   - Similarly, an array ` [xVal, yVal, valSampleWeights]`\n   *     (not implemented yet).\n   *   - a `Dataset` object with elements of the form `{xs: xVal, ys: yVal}`,\n   *     where `xs` and `ys` are the feature and label tensors, respectively.\n   *\n   * If `validationData` is an Array of Tensor objects, each `tf.Tensor` will be\n   * sliced into batches during validation, using the parameter\n   * `validationBatchSize` (which defaults to 32). The entirety of the\n   * `tf.Tensor` objects will be used in the validation.\n   *\n   * If `validationData` is a dataset object, and the `validationBatches`\n   * parameter is specified, the validation will use `validationBatches` batches\n   * drawn from the dataset object. If `validationBatches` parameter is not\n   * specified, the validation will stop when the dataset is exhausted.\n   *\n   * The model will not be trained on this data.\n   */\n  validationData?: [\n    TensorOrArrayOrMap, TensorOrArrayOrMap\n  ]|[TensorOrArrayOrMap, TensorOrArrayOrMap, TensorOrArrayOrMap]|Dataset<T>;\n\n  /**\n   * Optional batch size for validation.\n   *\n   * Used only if `validationData` is an array of `tf.Tensor` objects, i.e., not\n   * a dataset object.\n   *\n   * If not specified, its value defaults to 32.\n   */\n  validationBatchSize?: number;\n\n  /**\n   * (Optional) Only relevant if `validationData` is specified and is a dataset\n   * object.\n   *\n   * Total number of batches of samples to draw from `validationData` for\n   * validation purpose before stopping at the end of every epoch. If not\n   * specified, `evaluateDataset` will use `iterator.next().done` as signal to\n   * stop validation.\n   */\n  validationBatches?: number;\n\n  /**\n   * Configures the frequency of yielding the main thread to other tasks.\n   *\n   * In the browser environment, yielding the main thread can improve the\n   * responsiveness of the page during training. In the Node.js environment,\n   * it can ensure tasks queued in the event loop can be handled in a timely\n   * manner.\n   *\n   * The value can be one of the following:\n   *   - `'auto'`: The yielding happens at a certain frame rate (currently set\n   *               at 125ms). This is the default.\n   *   - `'batch'`: yield every batch.\n   *   - `'epoch'`: yield every epoch.\n   *   - a `number`: Will yield every `number` milliseconds.\n   *   - `'never'`: never yield. (But yielding can still happen through `await\n   *      nextFrame()` calls in custom callbacks.)\n   */\n  yieldEvery?: YieldEveryOptions;\n\n  /**\n   * Epoch at which to start training (useful for resuming a previous training\n   * run).\n   */\n  initialEpoch?: number;\n\n  /**\n   * Optional object mapping class indices (integers) to\n   * a weight (float) to apply to the model's loss for the samples from this\n   * class during training. This can be useful to tell the model to \"pay more\n   * attention\" to samples from an under-represented class.\n   *\n   * If the model has multiple outputs, a class weight can be specified for\n   * each of the outputs by setting this field an array of weight object\n   * or a object that maps model output names (e.g., `model.outputNames[0]`)\n   * to weight objects.\n   */\n  classWeight?: ClassWeight|ClassWeight[]|ClassWeightMap;\n}\n\nexport interface FitDatasetElement {\n  xs: TensorOrArrayOrMap;\n  ys: TensorOrArrayOrMap;\n}\n\n/**\n * Interface for configuring model evaluation based on a dataset object.\n */\nexport interface ModelEvaluateDatasetArgs {\n  /**\n   * Number of batches to draw from the dataset object before ending the\n   * evaluation.\n   */\n  batches?: number;\n\n  /**\n   * Verbosity mode.\n   */\n  verbose?: ModelLoggingVerbosity;\n}\n\n// Default batch size used during tensor-based validation.\nconst DEFAULT_VALIDATION_BATCH_SIZE = 32;\n\n/**\n * Standardize the output of a dataset iterator for use by\n * LayersModel.fitDataset().\n *\n * @param model: A `tf.LayersModel` object.\n * @param iteratorOut The output of a dataset iterator. It is required to be\n *   an object of the form `{xs: TensorOrArrayOrMap, ys:\n * TensorOrArrayOrMap}`, where `TensorOrArrayOrMap` is a single `tf.Tensor`,\n * a `tf.Tensor[]`, or a flat map from string names to `tf.Tensor`s.\n * @returns A flat array of `tf.Tensor` objects: the input `tf.Tensor`s\n *   followed by the target `tf.Tensor`s.  When `tf.Tensor`s are provided\n *   as a map, the order in the resulting array is taken from the `inputNames`\n *   and `outputNames` of the model.\n */\nfunction standardizeDataIteratorOutput(\n    // Type `model` as `any` here to avoid circular dependency w/\n    // training.ts.\n    // tslint:disable-next-line:no-any\n    model: any, iteratorOut: {}): {xs: tfc.Tensor[], ys: tfc.Tensor[]} {\n  let xs: TensorOrArrayOrMap;\n  let ys: TensorOrArrayOrMap;\n\n  const iteratorOutObj = iteratorOut as FitDatasetElement;\n  xs = iteratorOutObj['xs'];\n  ys = iteratorOutObj['ys'];\n  tfc.util.assert(\n      xs != null && ys != null,\n      () => 'A Dataset iterator for fitDataset() is expected to generate ' +\n          'objects of the form `{xs: xVal, ys: yVal}`, where the two ' +\n          'values may be `tf.Tensor`, an array of Tensors, or a map of ' +\n          'string to Tensor.  The provided Dataset instead generates ' +\n          `${iteratorOut}`);\n\n  const flattenedXs: tfc.Tensor[] =\n      flattenTensorOrArrayOrMap('input', model.inputNames, xs);\n  const flattenedYs: tfc.Tensor[] =\n      flattenTensorOrArrayOrMap('output', model.outputNames, ys);\n\n  const batchSize: number = flattenedXs[0].shape[0];\n\n  tfc.util.assert(\n      flattenedXs.length === model.inputs.length,\n      () => `LayersModel has ${model.inputs.length} inputs, but the dataset ` +\n          `provides ${flattenedXs.length} inputs.  (Expected input keys: ` +\n          `${JSON.stringify(model.inputNames)})`);\n\n  tfc.util.assert(\n      flattenedYs.length === model.outputs.length,\n      () =>\n          `LayersModel has ${model.outputs.length} outputs, but the dataset ` +\n          `provides ${flattenedYs.length} outputs.  (Expected output keys: ` +\n          `${JSON.stringify(model.outputNames)})`);\n\n  for (let xIndex = 0; xIndex < flattenedXs.length; xIndex++) {\n    tfc.util.assert(\n        flattenedXs[xIndex].shape[0] === batchSize,\n        () => `Batch size mismatch: input ` +\n            `${model.inputNames[xIndex]} has ${\n                  flattenedXs[xIndex].shape[0]}; ` +\n            `expected  ${batchSize} based on input ${model.inputNames[0]}.`);\n  }\n\n  for (let yIndex = 0; yIndex < flattenedYs.length; yIndex++) {\n    tfc.util.assert(\n        flattenedYs[yIndex].shape[0] === batchSize,\n        () => `Batch size mismatch: output ` +\n            `${model.outputNames[yIndex]} has ${\n                  flattenedYs[yIndex].shape[0]}; ` +\n            `expected  ${batchSize} based on input ${model.inputNames[0]}.`);\n  }\n\n  return {xs: flattenedXs, ys: flattenedYs};\n}\n\nfunction flattenTensorOrArrayOrMap(\n    inputOrOutput: string, names: string[], values: TensorOrArrayOrMap) {\n  if (values instanceof tfc.Tensor) {\n    return [values];\n  } else if (Array.isArray(values)) {\n    tfc.util.assert(\n        values.length === names.length,\n        () => `Received an array of ${values.length} Tensors, but expected ${\n            names.length} to match the ${inputOrOutput} keys ${names}.`);\n    return values;\n  } else {\n    const result: tfc.Tensor[] = [];\n    // Check that all the required keys are available.\n    for (const name of names) {\n      if (values[name] == null) {\n        throw new ValueError(\n            `The feature data generated by the dataset lacks the required ` +\n            `${inputOrOutput} key '${name}'.`);\n      }\n      result.push(values[name]);\n    }\n    return result;\n  }\n}\n\nfunction standardizeTensorValidationData<T>(\n    data:\n        [\n          tfc.Tensor|tfc.Tensor[], tfc.Tensor|tfc.Tensor[]\n        ]|[tfc.Tensor | tfc.Tensor[], tfc.Tensor | tfc.Tensor[],\n           tfc.Tensor | tfc.Tensor[]]):\n    {xs: tfc.Tensor|tfc.Tensor[], ys: tfc.Tensor|tfc.Tensor[]} {\n  if (data.length === 3) {\n    throw new NotImplementedError(\n        'Validation with sample weights is not implemented yet.');\n  }\n  return {xs: data[0], ys: data[1]};\n}\n\nexport async function fitDataset<T>(\n    // Type `model` as `any` here to avoid circular dependency w/\n    // training.ts.\n    // tslint:disable-next-line:no-any\n    model: any, dataset: Dataset<T>,\n    args: ModelFitDatasetArgs<T>): Promise<History> {\n  const hasBatchesPerEpoch = args.batchesPerEpoch != null;\n  tfc.util.assert(\n      model.optimizer != null,\n      () => 'You must compile a model before training/testing. Use ' +\n          'LayersModel.compile(modelCompileConfig).');\n\n  tfc.util.assert(\n      args != null,\n      () => `For fitDataset(), the 2nd argument (config) is required, ` +\n          `but it is not provided in this call.`);\n  tfc.util.assert(\n      args.epochs != null && args.epochs > 0 && Number.isInteger(args.epochs),\n      () => `For fitDataset(), config.epochs is expected to be a positive ` +\n          `integer, but got ${args.epochs}`);\n  tfc.util.assert(\n      !hasBatchesPerEpoch ||\n          (args.batchesPerEpoch > 0 && Number.isInteger(args.batchesPerEpoch)),\n      () => `For fitDataset(), config.batchesPerEpoch is expected to be a ` +\n          `positive integer if specified, but got ${args.batchesPerEpoch}`);\n  tfc.util.assert(\n      // tslint:disable-next-line:no-any\n      (args as any)['validationSplit'] == null,\n      () => '`validationSplit` is not supported by `fitDataset()`. ' +\n          'Use validationData instead.');\n\n  if (model.isTraining) {\n    throw new Error(\n        'Cannot start training because another fit() call is ongoing.');\n  }\n  model.isTraining = true;\n\n  try {\n    const doValidation = args.validationData != null;\n    let valXs: tfc.Tensor|tfc.Tensor[];\n    let valYs: tfc.Tensor|tfc.Tensor[];\n    if (doValidation) {\n      if (isDatasetObject(args.validationData)) {\n        tfc.util.assert(\n            args.validationBatches == null ||\n                (args.validationBatches > 0 &&\n                 Number.isInteger(args.validationBatches)),\n            () => `For fitDataset() with dataset-based validation, ` +\n                `config.validationBatches is expected not to be provided, ` +\n                `or to be a positive integer, ` +\n                `but got ${args.validationBatches}`);\n      } else {\n        const validationData = standardizeTensorValidationData(\n            args.validationData as\n                    [tfc.Tensor | tfc.Tensor[], tfc.Tensor | tfc.Tensor[]] |\n            [\n              tfc.Tensor | tfc.Tensor[], tfc.Tensor | tfc.Tensor[],\n              tfc.Tensor | tfc.Tensor[]\n            ]);\n        valXs = validationData.xs;\n        valYs = validationData.ys;\n      }\n    }\n\n    const trainFunction = model.makeTrainFunction();\n    const outLabels = model.getDedupedMetricsNames() as string[];\n\n    let callbackMetrics: string[];\n    if (doValidation) {\n      callbackMetrics =\n          outLabels.slice().concat(outLabels.map(n => 'val_' + n));\n    } else {\n      callbackMetrics = outLabels.slice();\n    }\n\n    const callbacks = standardizeCallbacks(args.callbacks, args.yieldEvery);\n    const verbose = args.verbose == null ? 1 : args.verbose;\n    const {callbackList, history} = configureCallbacks(\n        callbacks, verbose, args.epochs, null, null,\n        getStepsPerEpoch(dataset, args),\n        null,  // Batch size determined by the dataset itself.\n        doValidation, callbackMetrics);\n    callbackList.setModel(model);\n    model.history = history;\n\n    await callbackList.onTrainBegin();\n    model.stopTraining_ = false;\n    let epoch = args.initialEpoch == null ? 0 : args.initialEpoch;\n\n    let dataIterator = await dataset.iterator();\n    while (epoch < args.epochs) {\n      const epochLogs: UnresolvedLogs = {};\n      await callbackList.onEpochBegin(epoch);\n      let stepsDone = 0;\n      let batchIndex = 0;\n      if (!hasBatchesPerEpoch) {\n        dataIterator = await dataset.iterator();\n      }\n      while (hasBatchesPerEpoch ? stepsDone < args.batchesPerEpoch : true) {\n        const iteratorOut = await dataIterator.next();\n\n        // If `batchesPerEpoch` is specified, the dataset should not be\n        // exhausted until all epoches are done.\n        if (hasBatchesPerEpoch && iteratorOut.done) {\n          console.warn(\n              'You provided `batchesPerEpoch` as ' +\n              `${args.batchesPerEpoch}, ` +\n              'but your dataset iterator ran out of data after ' +\n              `${stepsDone} batches; ` +\n              'interrupting training. Make sure that your ' +\n              'dataset can generate at least `batchesPerEpoch * epochs` ' +\n              'batches (in this case, ' +\n              `${args.batchesPerEpoch * args.epochs} batches). ` +\n              'You may need to use the repeat() function when building ' +\n              'your dataset.');\n          break;\n        }\n\n        if (iteratorOut.value != null) {\n          const {xs, ys} =\n              standardizeDataIteratorOutput(model, iteratorOut.value);\n          const batchLogs: UnresolvedLogs = {};\n          batchLogs['batch'] = batchIndex;\n          batchLogs['size'] = xs[0].shape[0];\n\n          await callbackList.onBatchBegin(batchIndex, batchLogs);\n\n          const sampleWeights: tfc.Tensor[] = [];\n          if (args.classWeight != null) {\n            const standardClassWeights =\n                standardizeClassWeights(args.classWeight, model.outputNames);\n            for (let i = 0; i < standardClassWeights.length; ++i) {\n              sampleWeights.push(await standardizeWeights(\n                  ys[i], null, standardClassWeights[i]));\n            }\n          }\n\n          // Train on batch.\n          const ins = xs.concat(ys).concat(sampleWeights);\n          const outs = trainFunction(ins);\n          tfc.dispose(ins);\n          for (let i = 0; i < outLabels.length; ++i) {\n            const label = outLabels[i];\n            const out = outs[i];\n            batchLogs[label] = out;\n            tfc.keep(out);\n          }\n\n          await callbackList.onBatchEnd(batchIndex, batchLogs);\n          disposeTensorsInLogs(batchLogs);\n\n          batchIndex++;\n          stepsDone++;\n        }\n\n        if (hasBatchesPerEpoch ? stepsDone >= args.batchesPerEpoch :\n                                 iteratorOut.done) {\n          // Epoch finished. Perform validation.\n          if (doValidation) {\n            let valOuts: tfc.Scalar[];\n            if (isDatasetObject(args.validationData)) {\n              valOuts = toList(await model.evaluateDataset(\n                  args.validationData, {batches: args.validationBatches}));\n            } else {\n              valOuts = toList(model.evaluate(valXs, valYs, {\n                batchSize: args.validationBatchSize == null ?\n                    DEFAULT_VALIDATION_BATCH_SIZE :\n                    args.validationBatchSize,\n                verbose: 0\n              }));\n            }\n            for (let i = 0; i < model.metricsNames.length; ++i) {\n              epochLogs[`val_${model.metricsNames[i]}`] = valOuts[i];\n            }\n          }\n          // Call `break` to exit one epoch lopp after validation is done. If\n          // config.batchesPerEpoch is specified, an epoch while loop will\n          // stop when `stepsDone >= config.batchesPerEpoch`. When\n          // config.batchesPerEpoch is not provided, the following `break` is\n          // required to exit the while lopp after dataset is exhausted.\n          break;\n        }\n\n        if (model.stopTraining_) {\n          break;\n        }\n      }\n      await callbackList.onEpochEnd(epoch, epochLogs);\n      epoch++;\n      if (model.stopTraining_) {\n        break;\n      }\n    }\n    await callbackList.onTrainEnd();\n    await model.history.syncData();\n    return model.history;\n  } finally {\n    model.isTraining = false;\n  }\n}\n\n/** Helper function that determines number of steps (batches) per epoch. */\nfunction getStepsPerEpoch<T>(\n    dataset: Dataset<T>, args: ModelFitDatasetArgs<T>): number {\n  // Attempt to determine # of batches in an epoch.\n  let stepsPerEpoch: number = null;\n  if (args.batchesPerEpoch != null) {\n    stepsPerEpoch = args.batchesPerEpoch;\n  } else if (Number.isFinite(dataset.size)) {\n    stepsPerEpoch = dataset.size;\n  }\n  return stepsPerEpoch;\n}\n\n// Check if provided object is a Dataset object by checking it's .iterator\n// element.\nfunction isDatasetObject<T>(\n    dataset:\n        [\n          TensorOrArrayOrMap, TensorOrArrayOrMap\n        ]|[TensorOrArrayOrMap, TensorOrArrayOrMap, TensorOrArrayOrMap]|\n    Dataset<T>): boolean {\n  return (typeof (dataset as Dataset<T>).iterator === 'function');\n}\n\n// Check if provided object is a LazyIterator object by checking it's .next\n// element.\nfunction isLazyIteratorObject<T>(iterator: Dataset<T>|\n                                 LazyIterator<T>): boolean {\n  return (typeof (iterator as LazyIterator<T>).next === 'function');\n}\n\nexport async function evaluateDataset<T>(\n    // Type `model` as `any` here to avoid circular dependency w/\n    // training.ts.\n    // tslint:disable-next-line:no-any\n    model: any, dataset: Dataset<T>|LazyIterator<T>,\n    args: ModelEvaluateDatasetArgs): Promise<tfc.Scalar|tfc.Scalar[]> {\n  args = args || {};\n  const hasBatches = args.batches != null;\n  const f = model.testFunction;\n  let outs: tfc.Scalar[] = [];\n  if (args.verbose > 0) {\n    throw new NotImplementedError('Verbose mode is not implemented yet.');\n  }\n\n  tfc.util.assert(\n      !hasBatches || (args.batches > 0 && Number.isInteger(args.batches)),\n      () => 'Test loop expects `batches` to be a positive integer, but ' +\n          `received ${JSON.stringify(args.batches)}`);\n  const dataIterator = isLazyIteratorObject(dataset) ?\n      dataset as LazyIterator<T>:\n      await (dataset as Dataset<T>).iterator();\n  // Keeps track of number of examples used in this evaluation.\n  let numExamples = 0;\n  let batch = 0;\n\n  while (hasBatches ? batch < args.batches : true) {\n    const iteratorOut = await dataIterator.next();\n    outs = tfc.tidy(() => {\n      if (iteratorOut.value) {\n        // TODO(cais): Once real dataset is available, use\n        //   `map(x => standardizeDataIteratorOutput(model, x).map(f)`.\n        const {xs, ys} =\n            standardizeDataIteratorOutput(model, iteratorOut.value);\n        const xsAndYs = xs.concat(ys);\n        const batchOuts = tfc.tidy(() => f(xsAndYs));\n        tfc.dispose(xsAndYs);\n\n        if (batch === 0) {\n          for (let i = 0; i < batchOuts.length; ++i) {\n            outs.push(scalar(0));\n          }\n        }\n\n        const batchSize = xsAndYs[0].shape[0];\n        for (let i = 0; i < batchOuts.length; ++i) {\n          const batchOut = batchOuts[i];\n          const oldScalar = outs[i];\n          outs[i] =\n              tfc.tidy(() => tfc.add(outs[i], tfc.mul(batchSize, batchOut)));\n          if (batch > 0) {\n            tfc.dispose(oldScalar);\n          }\n        }\n        tfc.dispose(batchOuts);\n        numExamples += batchSize;\n\n        ++batch;\n      }\n      return outs;\n    });\n\n    if (iteratorOut.done) {\n      if (hasBatches) {\n        console.warn(\n            'Your dataset iterator ran out of data during evaluateDataset(). ' +\n            'Interrupting evalution. Make sure that your ' +\n            'dataset can generate at least `batches` ' +\n            `batches (in this case, ${args.batches} batches). ` +\n            'You may need to use the repeat() function when building ' +\n            'your dataset.');\n      }\n      break;\n    }\n  }\n\n  for (let i = 0; i < outs.length; ++i) {\n    const oldScalar = outs[i];\n    outs[i] = tfc.div(outs[i], numExamples);\n    tfc.dispose(oldScalar);\n  }\n\n  return singletonOrArray(outs);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Interfaces and methods for training models using tf.Tensor objects.\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {Scalar, Tensor, Tensor1D, tensor1d, util} from '@tensorflow/tfjs-core';\n\nimport {expandDims, gather, sliceAlongFirstAxis} from '../backend/tfjs_backend';\nimport {BaseCallback, configureCallbacks, CustomCallbackArgs, History, ModelLoggingVerbosity, standardizeCallbacks, YieldEveryOptions} from '../base_callbacks';\nimport {NotImplementedError, ValueError} from '../errors';\nimport {disposeTensorsInLogs, UnresolvedLogs} from '../logs';\nimport {range} from '../utils/math_utils';\nimport {ClassWeight, ClassWeightMap} from './training_utils';\n\n/**\n * Interface configuration model training based on data as `tf.Tensor`s.\n */\nexport interface ModelFitArgs {\n  /**\n   * Number of samples per gradient update. If unspecified, it\n   * will default to 32.\n   */\n  batchSize?: number;\n\n  /** The number of times to iterate over the training data arrays. */\n  epochs?: number;\n\n  /**\n   * Verbosity level.\n   *\n   * Expected to be 0, 1, or 2. Default: 1.\n   *\n   * 0 - No printed message during fit() call.\n   * 1 - In Node.js (tfjs-node), prints the progress bar, together with\n   *     real-time updates of loss and metric values and training speed.\n   *     In the browser: no action. This is the default.\n   * 2 - Not implemented yet.\n   */\n  verbose?: ModelLoggingVerbosity;\n\n  /**\n   * List of callbacks to be called during training.\n   * Can have one or more of the following callbacks:\n   *   - `onTrainBegin(logs)`: called when training starts.\n   *   - `onTrainEnd(logs)`: called when training ends.\n   *   - `onEpochBegin(epoch, logs)`: called at the start of every epoch.\n   *   - `onEpochEnd(epoch, logs)`: called at the end of every epoch.\n   *   - `onBatchBegin(batch, logs)`: called at the start of every batch.\n   *   - `onBatchEnd(batch, logs)`: called at the end of every batch.\n   *   - `onYield(epoch, batch, logs)`: called every `yieldEvery` milliseconds\n   *      with the current epoch, batch and logs. The logs are the same\n   *      as in `onBatchEnd()`. Note that `onYield` can skip batches or\n   *      epochs. See also docs for `yieldEvery` below.\n   */\n  callbacks?: BaseCallback[]|CustomCallbackArgs|CustomCallbackArgs[];\n\n  /**\n   * Float between 0 and 1: fraction of the training data\n   * to be used as validation data. The model will set apart this fraction of\n   * the training data, will not train on it, and will evaluate the loss and\n   * any model metrics on this data at the end of each epoch.\n   * The validation data is selected from the last samples in the `x` and `y`\n   * data provided, before shuffling.\n   */\n  validationSplit?: number;\n\n  /**\n   * Data on which to evaluate the loss and any model\n   * metrics at the end of each epoch. The model will not be trained on this\n   * data. This could be a tuple [xVal, yVal] or a tuple [xVal, yVal,\n   * valSampleWeights]. The model will not be trained on this data.\n   * `validationData` will override `validationSplit`.\n   */\n  validationData?: [\n    Tensor|Tensor[], Tensor|Tensor[]\n  ]|[Tensor | Tensor[], Tensor|Tensor[], Tensor|Tensor[]];\n\n  /**\n   * Whether to shuffle the training data before each epoch. Has\n   * no effect when `stepsPerEpoch` is not `null`.\n   */\n  shuffle?: boolean;\n\n  /**\n   * Optional object mapping class indices (integers) to\n   * a weight (float) to apply to the model's loss for the samples from this\n   * class during training. This can be useful to tell the model to \"pay more\n   * attention\" to samples from an under-represented class.\n   *\n   * If the model has multiple outputs, a class weight can be specified for\n   * each of the outputs by setting this field an array of weight object\n   * or a object that maps model output names (e.g., `model.outputNames[0]`)\n   * to weight objects.\n   */\n  classWeight?: ClassWeight|ClassWeight[]|ClassWeightMap;\n\n  /**\n   * Optional array of the same length as x, containing\n   * weights to apply to the model's loss for each sample. In the case of\n   * temporal data, you can pass a 2D array with shape (samples,\n   * sequenceLength), to apply a different weight to every timestep of every\n   * sample. In this case you should make sure to specify\n   * sampleWeightMode=\"temporal\" in compile().\n   */\n  sampleWeight?: Tensor;\n\n  /**\n   * Epoch at which to start training (useful for resuming a previous training\n   * run).\n   */\n  initialEpoch?: number;\n\n  /**\n   * Total number of steps (batches of samples) before\n   * declaring one epoch finished and starting the next epoch. When training\n   * with Input Tensors such as TensorFlow data tensors, the default `null` is\n   * equal to the number of unique samples in your dataset divided by the\n   * batch size, or 1 if that cannot be determined.\n   */\n  stepsPerEpoch?: number;\n\n  /**\n   * Only relevant if `stepsPerEpoch` is specified. Total number of steps\n   * (batches of samples) to validate before stopping.\n   */\n  validationSteps?: number;\n\n  /**\n   * Configures the frequency of yielding the main thread to other tasks.\n   *\n   * In the browser environment, yielding the main thread can improve the\n   * responsiveness of the page during training. In the Node.js environment,\n   * it can ensure tasks queued in the event loop can be handled in a timely\n   * manner.\n   *\n   * The value can be one of the following:\n   *   - `'auto'`: The yielding happens at a certain frame rate (currently set\n   *               at 125ms). This is the default.\n   *   - `'batch'`: yield every batch.\n   *   - `'epoch'`: yield every epoch.\n   *   - any `number`: yield every `number` milliseconds.\n   *   - `'never'`: never yield. (yielding can still happen through `await\n   *      nextFrame()` calls in custom callbacks.)\n   */\n  yieldEvery?: YieldEveryOptions;\n}\n\nexport function checkBatchSize(batchSize: number) {\n  tfc.util.assert(\n      batchSize > 0 && Number.isInteger(batchSize),\n      () => `batchSize is required to be a positive integer, but got ${\n          batchSize}`);\n}\n\n/**\n * Slice an Tensor or an Array of Tensors, by start and stop indices.\n *\n * Porting Note: The `_slice_arrays` function in PyKeras is covered by this\n *   function and `sliceArraysByIndices()` together.\n *\n * @param arrays: the input.\n * @param start: the starting index (inclusive).\n * @param stop: the stopping index (exclusive).\n * @returns The result of the slicing. If `arrays` is an `Array` of\n *   `tf.Tensor`s, the slicing will be applied to all elements of the `Array`\n *   in the same way.\n */\nexport function sliceArrays(\n    arrays: Tensor|Tensor[], start: number, stop: number): Tensor|Tensor[] {\n  if (arrays == null) {\n    return [null];\n  } else if (Array.isArray(arrays)) {\n    return arrays.map(array => sliceAlongFirstAxis(array, start, stop - start));\n  } else {  // Tensor.\n    return sliceAlongFirstAxis(arrays, start, stop - start);\n  }\n}\n\n/**\n * Slice an Tensor or an Array of Tensors, by random-order indices.\n *\n * Porting Note: The `_slice_arrays` function in PyKeras is covered by this\n *   function and `sliceArrays()` together.\n *\n * @param arrays The input `tf.Tensor` or `Array` of `tf.Tensor`s to slice.\n *   If an `Array` of `tf.Tensor`s, all `tf.Tensor`s will be sliced in the\n *   same fashion.\n * @param indices The indices to use for slicing along the first (batch)\n *   dimension.\n * @returns Result(s) of the slicing.\n */\nexport function sliceArraysByIndices(\n    arrays: Tensor|Tensor[], indices: Tensor1D): Tensor|Tensor[] {\n  return tfc.tidy(() => {\n    if (arrays == null) {\n      return null;\n    } else if (Array.isArray(arrays)) {\n      return arrays.map(\n          array => (sliceArraysByIndices(array, indices) as Tensor));\n    } else {\n      // TODO(cais): indices should be a pre-constructed Tensor1D to avoid\n      //   tensor1d() calls.\n      return gather(\n          arrays, indices.dtype === 'int32' ? indices : indices.toInt());\n    }\n  });\n}\n\n/**\n * Returns a list of batch indices (tuples of indices).\n * @param size: Integer, total size of the data to slice into batches.\n * @param batchSize: Integer, batch size.\n * @returns An Array of [batchStart, batchEnd] tuples. batchStart is\n *   inclusive; batchEnd is exclusive. I.e., each batch consists of indices x\n *   that satisfy batchStart <= x < batchEnd.\n */\nexport function makeBatches(\n    size: number, batchSize: number): Array<[number, number]> {\n  const output: Array<[number, number]> = [];\n  let batchStart = 0;\n  let batchEnd: number = null;\n  while (batchStart < size) {\n    batchEnd = batchStart + batchSize;\n    if (batchEnd >= size) {\n      batchEnd = size;\n    }\n    output.push([batchStart, batchEnd]);\n    batchStart = batchEnd;\n  }\n  return output;\n}\n\n/**\n * Abstract fit function for `f(ins)`.\n * @param f A Function returning a list of tensors. For training, this\n *   function is expected to perform the updates to the variables.\n * @param ins List of tensors to be fed to `f`.\n * @param outLabels List of strings, display names of the outputs of `f`.\n * @param batchSize Integer batch size or `== null` if unknown.\n * @param epochs Number of times to iterate over the data.\n * @param verbose Verbosity mode: 0, 1, or 2. Default: 1.\n * @param callbacks List of callbacks to be called during training.\n * @param valF Function to call for validation.\n * @param valIns List of tensors to be fed to `valF`.\n * @param shuffle Whether to shuffle the data at the beginning of every\n * epoch.\n * @param callbackMetrics List of strings, the display names of the metrics\n *   passed to the callbacks. They should be the concatenation of the\n *   display names of the outputs of `f` and the list of display names\n *   of the outputs of `valF`.\n * @param initialEpoch Epoch at which to start training (useful for\n *   resuming a previous training run).\n * @param stepsPerEpoch Total number of steps (batches on samples) before\n *   declaring one epoch finished and starting the next epoch. Ignored with\n *   the default value of `undefined` or `null`.\n * @param validationSteps Number of steps to run validation for (only if\n *   doing validation from data tensors). Not applicable for tfjs-layers.\n * @returns A `History` object.\n */\nasync function fitLoop(\n    // Type `model` as `any` here to avoid circular dependency w/ training.ts.\n    // tslint:disable-next-line:no-any\n    model: any, f: (data: Tensor[]) => Scalar[], ins: Tensor[],\n    outLabels?: string[], batchSize?: number, epochs?: number, verbose?: number,\n    callbacks?: BaseCallback[], valF?: (data: Tensor[]) => Scalar[],\n    valIns?: Tensor[], shuffle?: boolean|string, callbackMetrics?: string[],\n    initialEpoch?: number, stepsPerEpoch?: number,\n    validationSteps?: number): Promise<History> {\n  if (batchSize == null) {\n    batchSize = 32;\n  }\n  if (epochs == null) {\n    epochs = 1;\n  }\n  if (shuffle == null) {\n    shuffle = true;\n  }\n  if (initialEpoch == null) {\n    initialEpoch = 0;\n  }\n\n  // TODO(cais): Change const to let below when implementing validation.\n  let doValidation = false;\n  if (valF != null && valIns != null) {\n    doValidation = true;\n    // TODO(cais): verbose message.\n  }\n  if (validationSteps != null) {\n    doValidation = true;\n    if (stepsPerEpoch == null) {\n      throw new ValueError(\n          'Can only use `validationSteps` when doing step-wise training, ' +\n          'i.e., `stepsPerEpoch` must be set.');\n    }\n  }\n\n  const numTrainSamples =\n      model.checkNumSamples(ins, batchSize, stepsPerEpoch, 'steps_per_epoch');\n  let indexArray: number[];\n  if (numTrainSamples != null) {\n    indexArray = range(0, numTrainSamples);\n  }\n\n  if (verbose == null) {\n    verbose = 1;\n  }\n\n  const {callbackList, history} = configureCallbacks(\n      callbacks, verbose, epochs, initialEpoch, numTrainSamples, stepsPerEpoch,\n      batchSize, doValidation, callbackMetrics);\n  callbackList.setModel(model);\n  model.history = history;\n  await callbackList.onTrainBegin();\n  model.stopTraining_ = false;\n  // TODO(cais): Take care of callbacks.validation_data as in PyKeras.\n  // TODO(cais): Pre-convert feeds for performance as in PyKeras.\n\n  for (let epoch = initialEpoch; epoch < epochs; ++epoch) {\n    await callbackList.onEpochBegin(epoch);\n    const epochLogs: UnresolvedLogs = {};\n    if (stepsPerEpoch != null) {\n      throw new NotImplementedError(\n          'stepsPerEpoch mode is not implemented yet.');\n    } else {\n      if (shuffle === 'batch') {\n        throw new NotImplementedError('batch shuffling is not implemneted yet');\n      } else if (shuffle) {\n        util.shuffle(indexArray);\n      }\n      // Convert the potentially shuffled indices to Tensor1D, to avoid the\n      // cost of repeated creation of Array1Ds later on.\n      const epochIndexArray1D = tensor1d(indexArray);\n\n      const batches = makeBatches(numTrainSamples, batchSize);\n      for (let batchIndex = 0; batchIndex < batches.length; ++batchIndex) {\n        const batchLogs: UnresolvedLogs = {};\n        await callbackList.onBatchBegin(batchIndex, batchLogs);\n\n        tfc.tidy(() => {\n          const batchStart = batches[batchIndex][0];\n          const batchEnd = batches[batchIndex][1];\n          const batchIds = sliceAlongFirstAxis(\n                               epochIndexArray1D, batchStart,\n                               batchEnd - batchStart) as Tensor1D;\n          batchLogs['batch'] = batchIndex;\n          batchLogs['size'] = batchEnd - batchStart;\n\n          // TODO(cais): In ins, train flag can be a number, instead of an\n          //   Tensor? Do we need to handle this in tfjs-layers?\n          const insBatch = sliceArraysByIndices(ins, batchIds) as Tensor[];\n          const outs = f(insBatch);\n          for (let i = 0; i < outLabels.length; ++i) {\n            const label = outLabels[i];\n            const out = outs[i];\n            batchLogs[label] = out;\n            tfc.keep(out);\n            // TODO(cais): Use scope() to avoid ownership.\n          }\n\n          if (batchIndex === batches.length - 1) {  // Last batch.\n            if (doValidation) {\n              const valOuts = model.testLoop(valF, valIns, batchSize);\n              // Porting Notes: In tfjs-layers, valOuts is always an Array.\n              for (let i = 0; i < outLabels.length; ++i) {\n                const label = outLabels[i];\n                const out = valOuts[i];\n                tfc.keep(out);\n                // TODO(cais): Use scope() to avoid ownership.\n                epochLogs['val_' + label] = out;\n              }\n            }\n          }\n        });\n\n        await callbackList.onBatchEnd(batchIndex, batchLogs);\n        disposeTensorsInLogs(batchLogs);\n\n        if (model.stopTraining_) {\n          break;\n        }\n        // TODO(cais): return outs as list of Tensor.\n      }\n\n      epochIndexArray1D.dispose();\n    }\n    // TODO(cais): Run validation at the end of the epoch.\n    await callbackList.onEpochEnd(epoch, epochLogs);\n    if (model.stopTraining_) {\n      break;\n    }\n  }\n  await callbackList.onTrainEnd();\n\n  await model.history.syncData();\n  return model.history;\n}\n\nexport async function fitTensors(\n    // Type `model` as `any` here to avoid circular dependency w/ training.ts.\n    // tslint:disable-next-line:no-any\n    model: any, x: Tensor|Tensor[]|{[inputName: string]: Tensor},\n    y: Tensor|Tensor[]|{[inputName: string]: Tensor},\n    args: ModelFitArgs = {}): Promise<History> {\n  if (model.isTraining) {\n    throw new Error(\n        'Cannot start training because another fit() call is ongoing.');\n  }\n  model.isTraining = true;\n  let inputs: Tensor[];\n  let targets: Tensor[];\n  let inputValX: Tensor|Tensor[];\n  let inputValY: Tensor|Tensor[];\n  let valX: Tensor|Tensor[];\n  let valY: Tensor|Tensor[];\n  let sampleWeights: Tensor[];\n  try {\n    const batchSize = args.batchSize == null ? 32 : args.batchSize;\n    checkBatchSize(batchSize);\n\n    // Validate user data.\n    // TODO(cais): Support sampleWeight.\n    const checkBatchAxis = false;\n    const standardizedOuts =\n        await model.standardizeUserData(\n            x, y, args.sampleWeight, args.classWeight, checkBatchAxis,\n            batchSize) as [Tensor[], Tensor[], Tensor[]];\n    inputs = standardizedOuts[0];\n    targets = standardizedOuts[1];\n    sampleWeights = standardizedOuts[2];\n\n    // Prepare validation data.\n    let doValidation = false;\n    let valIns: Tensor[];\n    if (args.validationData != null && args.validationData.length > 0) {\n      doValidation = true;\n      if (args.validationData.length === 2) {\n        // config.validationData consists of valX and valY.\n        inputValX = args.validationData[0];\n        inputValY = args.validationData[1];\n      } else if (args.validationData.length === 3) {\n        throw new NotImplementedError(\n            'validationData including sample weights is not supported yet.');\n      } else {\n        throw new ValueError(\n            `When passing validation data, it must contain 2 (valX, valY) ` +\n            `or 3 (valX, valY, valSampleWeight) items; ` +\n            `${args.validationData} is invalid.`);\n      }\n\n      const checkBatchAxis = true;\n      const valStandardized =\n          await model.standardizeUserData(\n              inputValX, inputValY, null, /** Unused sample weights. */\n              null,                       /** Unused class weights. */\n              checkBatchAxis, batchSize) as [Tensor[], Tensor[], Tensor[]];\n      valX = valStandardized[0];\n      valY = valStandardized[1];\n      valIns = valX.concat(valY);\n      // TODO(cais): Add useLearningPhase data properly.\n    } else if (\n        args.validationSplit != null && args.validationSplit > 0 &&\n        args.validationSplit < 1) {\n      doValidation = true;\n      // Porting Note: In tfjs-layers, inputs[0] is always an Tensor.\n      const splitAt =\n          Math.floor(inputs[0].shape[0] * (1 - args.validationSplit));\n      const originalBatchSize = inputs[0].shape[0];\n      valX = sliceArrays(inputs, splitAt, originalBatchSize) as Tensor[];\n      inputs = sliceArrays(inputs, 0, splitAt) as Tensor[];\n      valY = sliceArrays(targets, splitAt, originalBatchSize) as Tensor[];\n      targets = sliceArrays(targets, 0, splitAt) as Tensor[];\n      // TODO(cais): Once sampleWeights becomes available, slice it to get\n      //   valSampleWeights.\n      valIns = valX.concat(valY);\n\n      // TODO(cais): Add useLearningPhase data properly.\n    } else if (args.validationSteps != null) {\n      doValidation = true;\n      // TODO(cais): Add useLearningPhase.\n    }\n\n    const ins = inputs.concat(targets).concat(sampleWeights);\n\n    model.checkTrainableWeightsConsistency();\n\n    // TODO(cais): Handle use_learning_phase and learning_phase?\n\n    // Porting Note: Here we see a key deviation of tfjs-layers from\n    // Keras.\n    //  Due to the imperative nature of tfjs-layers' backend (tfjs-core),\n    //  we do not construct symbolic computation graphs to embody the\n    //  training process. Instead, we define a function that performs the\n    //  training action. In PyKeras, the data (inputs and targets) are fed\n    //  through graph placeholders. In tfjs-layers, the data are fed as\n    //  function arguments. Since the function are defined below in the\n    //  scope, we don't have equivalents of PyKeras's\n    //  `_make_train_funciton`.\n    const trainFunction = model.makeTrainFunction();\n    const outLabels = model.getDedupedMetricsNames() as string[];\n\n    let valFunction: (data: Tensor[]) => Scalar[];\n    let callbackMetrics: string[];\n    if (doValidation) {\n      model.makeTestFunction();\n      valFunction = model.testFunction;\n      callbackMetrics =\n          outLabels.slice().concat(outLabels.map(n => 'val_' + n));\n    } else {\n      valFunction = null;\n      valIns = [];\n      callbackMetrics = outLabels.slice();\n    }\n\n    const callbacks = standardizeCallbacks(args.callbacks, args.yieldEvery);\n    const out = await fitLoop(\n        model, trainFunction, ins, outLabels, batchSize, args.epochs,\n        args.verbose, callbacks, valFunction, valIns, args.shuffle,\n        callbackMetrics, args.initialEpoch, null, null);\n    return out;\n  } finally {\n    model.isTraining = false;\n    // Memory clean up.\n    disposeNewTensors(inputs, x);\n    disposeNewTensors(targets, y);\n    disposeNewTensors(valX as Tensor[], inputValX);\n    disposeNewTensors(valY as Tensor[], inputValY);\n    if (sampleWeights != null) {\n      tfc.dispose(sampleWeights);\n    }\n  }\n  // TODO(cais): Add value to outLabels.\n}\n\n/**\n * Ensure tensors all have a rank of at least 2.\n *\n * If a tensor has a rank of 1, it is dimension-expanded to rank 2.\n * If any tensor has a rank of 0 (i.e., is a scalar), an error will be thrown.\n */\nexport function ensureTensorsRank2OrHigher(tensors: Tensor|Tensor[]): Tensor[] {\n  const outs: Tensor[] = [];\n  if (tensors instanceof Tensor) {\n    tensors = [tensors];\n  }\n\n  // Make Tensors at least 2D.\n  for (let i = 0; i < tensors.length; ++i) {\n    const tensor = tensors[i];\n    if (tensor.rank === 1) {\n      outs.push(expandDims(tensor, 1));\n    } else if (tensor.rank === 0) {\n      throw new Error(\n          'Expected tensor to be at least 1D, but received a 0D tensor ' +\n          '(scalar).');\n    } else {\n      outs.push(tensor);\n    }\n  }\n  return outs;\n}\n\n/**\n * Compare a set of tensors with a reference (old) set, discard the ones\n * in the new set that are not present in the reference set.\n *\n * This method is used for memory clenaup during calls such as\n * LayersModel.fit().\n *\n * @param tensors New set which may contain Tensors not present in\n *   `refTensors`.\n * @param refTensors Reference Tensor set.\n */\n// TODO(cais, kangyizhang): Deduplicate with tfjs-data.\nexport function disposeNewTensors(\n    tensors: Tensor|Tensor[]|{[inputName: string]: Tensor},\n    refTensors: Tensor|Tensor[]|{[inputName: string]: Tensor}): void {\n  if (tensors == null) {\n    return;\n  }\n  const oldTensorIds: number[] = [];\n  if (refTensors instanceof Tensor) {\n    oldTensorIds.push(refTensors.id);\n  } else if (Array.isArray(refTensors)) {\n    refTensors.forEach(t => oldTensorIds.push(t.id));\n  } else if (refTensors != null) {\n    // `oldTensors` is a map from string name to Tensor.\n    for (const name in refTensors) {\n      const oldTensor = refTensors[name];\n      oldTensorIds.push(oldTensor.id);\n    }\n  }\n\n  const tensorsToDispose: Tensor[] = [];\n  if (tensors instanceof Tensor) {\n    if (oldTensorIds.indexOf(tensors.id) === -1) {\n      tensorsToDispose.push(tensors);\n    }\n  } else if (Array.isArray(tensors)) {\n    tensors.forEach(t => {\n      if (oldTensorIds.indexOf(t.id) === -1) {\n        tensorsToDispose.push(t);\n      }\n    });\n  } else if (tensors != null) {\n    // `oldTensors` is a map from string name to Tensor.\n    for (const name in tensors) {\n      const tensor = tensors[name];\n      if (oldTensorIds.indexOf(tensor.id) === -1) {\n        tensorsToDispose.push(tensor);\n      }\n    }\n  }\n\n  tensorsToDispose.forEach(t => {\n    if (!t.isDisposed) {\n      t.dispose();\n    }\n  });\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original Source: engine/training.py */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {io, ModelPredictConfig as ModelPredictArgs, NamedTensorMap, Optimizer, Scalar, scalar, serialization, Tensor, Tensor1D, tensor1d, util} from '@tensorflow/tfjs-core';\n\nimport * as K from '../backend/tfjs_backend';\nimport {History, ModelLoggingVerbosity} from '../base_callbacks';\nimport {nameScope} from '../common';\nimport {NotImplementedError, RuntimeError, ValueError} from '../errors';\nimport {Shape} from '../keras_format/common';\nimport {LossIdentifier} from '../keras_format/loss_config';\nimport {OptimizerSerialization} from '../keras_format/optimizer_config';\nimport {MetricsIdentifier, TrainingConfig} from '../keras_format/training_config';\nimport {deserialize} from '../layers/serialization';\nimport * as losses from '../losses';\nimport * as Metrics from '../metrics';\nimport * as optimizers from '../optimizers';\nimport {LossOrMetricFn, NamedTensor} from '../types';\nimport {checkUserDefinedMetadata} from '../user_defined_metadata';\nimport {count, pyListRepeat, singletonOrArray, toCamelCase, toSnakeCase, unique} from '../utils/generic_utils';\nimport {printSummary} from '../utils/layer_utils';\nimport {range} from '../utils/math_utils';\nimport {convertPythonicToTs} from '../utils/serialization_utils';\nimport {LayerVariable} from '../variables';\nimport {version} from '../version';\n\nimport {Container, ContainerArgs} from './container';\nimport {Dataset} from './dataset_stub';\nimport {execute, FeedDict} from './executor';\nimport {DisposeResult, SymbolicTensor} from './topology';\nimport {evaluateDataset, fitDataset, ModelEvaluateDatasetArgs, ModelFitDatasetArgs} from './training_dataset';\nimport {checkBatchSize, disposeNewTensors, ensureTensorsRank2OrHigher, fitTensors, makeBatches, ModelFitArgs, sliceArrays, sliceArraysByIndices} from './training_tensors';\nimport {ClassWeight, ClassWeightMap, computeWeightedLoss, standardizeClassWeights, standardizeWeights} from './training_utils';\n\n/**\n * Helper function for polymorphic input data: 1. singleton Tensor.\n */\nexport function isDataTensor(x: Tensor|Tensor[]|{[inputName: string]: Tensor}|\n                             {[inputName: string]: Tensor[]}): boolean {\n  return x instanceof Tensor;\n}\n\n/**\n * Helper function for polymorphic input data: 2. Array of Tensor.\n */\nexport function isDataArray(x: Tensor|Tensor[]|\n                            {[inputName: string]: Tensor}): boolean {\n  return Array.isArray(x);\n}\n\n/**\n * Helper function for polymorphic input data: 3. \"dict\" of Tensor.\n */\nexport function isDataDict(x: Tensor|Tensor[]|\n                           {[inputName: string]: Tensor}): boolean {\n  return !isDataTensor(x) && !isDataArray(x);\n}\n\n/**\n * Normalizes inputs and targets provided by users.\n * @param data User-provided input data (polymorphic).\n * @param names An Array of expected Tensor names.\n * @param shapes Optional Array of expected Tensor shapes.\n * @param checkBatchAxis Whether to check that the batch axis of the arrays\n *   match  the expected value found in `shapes`.\n * @param exceptionPrefix String prefix used for exception formatting.\n * @returns List of standardized input Tensors (one Tensor per model input).\n * @throws ValueError: in case of improperly formatted user data.\n */\nexport function standardizeInputData(\n    data: Tensor|Tensor[]|{[inputName: string]: Tensor}, names: string[],\n    shapes?: Shape[], checkBatchAxis = true, exceptionPrefix = ''): Tensor[] {\n  if (names == null || names.length === 0) {\n    // Check for the case where the model expected no data, but some data got\n    // sent.\n    if (data != null) {\n      let gotUnexpectedData = false;\n      if (isDataArray(data) && (data as Tensor[]).length > 0) {\n        gotUnexpectedData = true;\n      } else if (isDataDict(data)) {\n        for (const key in data) {\n          if (data.hasOwnProperty(key)) {\n            gotUnexpectedData = true;\n            break;\n          }\n        }\n      } else {\n        // `data` is a singleton Tensor in this case.\n        gotUnexpectedData = true;\n      }\n      if (gotUnexpectedData) {\n        throw new ValueError(\n            `Error when checking model ${exceptionPrefix} expected no data, ` +\n            `but got ${data}`);\n      }\n    }\n    return [];\n  }\n  if (data == null) {\n    return names.map(name => null);\n  }\n\n  let arrays: Tensor[];\n  if (isDataDict(data)) {\n    data = data as {[inputName: string]: Tensor};\n    arrays = [];\n    for (const name of names) {\n      if (data[name] == null) {\n        throw new ValueError(\n            `No data provided for \"${name}\". Need data for each key in: ` +\n            `${names}`);\n      }\n      arrays.push(data[name]);\n    }\n  } else if (isDataArray(data)) {\n    data = data as Tensor[];\n    if (data.length !== names.length) {\n      throw new ValueError(\n          `Error when checking model ${exceptionPrefix}: the Array of ` +\n          `Tensors that you are passing to your model is not the size the ` +\n          `model expected. Expected to see ${names.length} Tensor(s), but ` +\n          `instead got the following list of Tensor(s): ${data}`);\n    }\n    arrays = data;\n  } else {\n    data = data as Tensor;\n    if (names.length > 1) {\n      throw new ValueError(\n          `The model ${exceptionPrefix} expects ${names.length} Tensor(s), ` +\n          `but only received one Tensor. Found: Tensor with shape ${\n              data.shape}`);\n    }\n    arrays = [data];\n  }\n\n  arrays = ensureTensorsRank2OrHigher(arrays);\n\n  // Check shape compatibility.\n  if (shapes != null) {\n    for (let i = 0; i < names.length; ++i) {\n      if (shapes[i] == null) {\n        continue;\n      }\n      const array = arrays[i];\n      if (array.shape.length !== shapes[i].length) {\n        throw new ValueError(\n            `Error when checking ${exceptionPrefix}: expected ${names[i]} ` +\n            `to have ${shapes[i].length} dimension(s). but got array with ` +\n            `shape ${array.shape}`);\n      }\n      for (let j = 0; j < shapes[i].length; ++j) {\n        if (j === 0 && !checkBatchAxis) {\n          // Skip the first (batch) axis.\n          continue;\n        }\n        const dim = array.shape[j];\n        const refDim = shapes[i][j];\n        if (refDim != null && refDim >= 0 && dim !== refDim) {\n          throw new ValueError(\n              `Error when checking ${exceptionPrefix}: expected ${names[i]} ` +\n              `to have shape [${shapes[i]}], but got array with shape ` +\n              `[${array.shape}].`);\n        }\n      }\n    }\n  }\n  return arrays;\n}\n\n/**\n * User input validation for Tensors.\n * @param inputs `Array` of `tf.Tensor`s for inputs.\n * @param targets `Array` of `tf.Tensor`s for targets.\n * @param weights Optional `Array` of `tf.Tensor`s for sample weights.\n * @throws ValueError: in case of incorrectly formatted data.\n */\nexport function checkArrayLengths(\n    inputs: Tensor[], targets: Tensor[], weights?: Tensor[]) {\n  const setX = unique(inputs.map(input => input.shape[0]));\n  setX.sort();\n  const setY = unique(targets.map(target => target.shape[0]));\n  setY.sort();\n  // TODO(cais): Check `weights` as well.\n  if (setX.length > 1) {\n    throw new ValueError(\n        `All input Tensors (x) should have the same number of samples. ` +\n        `Got array shapes: ` +\n        `${JSON.stringify(inputs.map(input => input.shape))}`);\n  }\n  if (setY.length > 1) {\n    throw new ValueError(\n        `All target Tensors (y) should have the same number of samples. ` +\n        `Got array shapes: ` +\n        `${JSON.stringify(targets.map(target => target.shape))}`);\n  }\n  if (setX.length > 0 && setY.length > 0 && !util.arraysEqual(setX, setY)) {\n    throw new ValueError(\n        `Input Tensors should have the same number of samples as target ` +\n        `Tensors. Found ${setX[0]} input sample(s) and ${setY[0]} target ` +\n        `sample(s).`);\n  }\n}\n\n/**\n * Validation on the compatibility of targes and loss functions.\n *\n * This helps prevent users from using loss functions incorrectly.\n *\n * @param targets `Array` of `tf.Tensor`s of targets.\n * @param lossFns `Array` of loss functions.\n * @param outputShapes `Array` of shapes of model outputs.\n */\nfunction checkLossAndTargetCompatibility(\n    targets: Tensor[], lossFns: LossOrMetricFn[], outputShapes: Shape[]) {\n  // TODO(cais): Dedicated test coverage?\n  const keyLosses = [\n    losses.meanSquaredError, losses.binaryCrossentropy,\n    losses.categoricalCrossentropy\n  ];\n  for (let i = 0; i < targets.length; ++i) {\n    const y = targets[i];\n    const loss = lossFns[i];\n    const shape = outputShapes[i];\n    if (loss == null) {\n      continue;\n    }\n    if (loss === losses.categoricalCrossentropy) {\n      if (y.shape[y.shape.length - 1] === 1) {\n        throw new ValueError(\n            `You are passing a target array of shape ${y.shape} while using ` +\n            `a loss 'categorical_crossentropy'. 'categorical_crossentropy'` +\n            `expects targets to be binary matrices (1s and 0s) of shape ` +\n            `[samples, classes].`);\n        // TODO(cais): Example code in error message.\n      }\n    }\n    if (keyLosses.indexOf(loss) !== -1) {\n      const slicedYShape = y.shape.slice(1);\n      const slicedShape = shape.slice(1);\n      for (let j = 0; j < slicedYShape.length; ++j) {\n        const targetDim = slicedYShape[j];\n        const outDim = slicedShape[j];\n        if (outDim != null && targetDim !== outDim) {\n          throw new ValueError(\n              `A target Tensor with shape ${y.shape} was passed for an ` +\n              `output of shape ${shape}, while using a loss function that ` +\n              `expects targets to have the same shape as the output.`);\n        }\n      }\n    }\n  }\n}\n\n/**\n * Check inputs provided by the user.\n *\n * Porting Note: This corresponds to _standardize_input_data() in Python\n *   Keras. Because of the strong typing in TF.js, we do not need to convert\n *   the data. Specifically:\n *   1) in PyKeras, `data` can be `DataFrame` instances from pandas, for\n *      example. We don't need to worry about that here because there is no\n *      widely popular javascript/typesdcript equivalent of pandas (so far).\n *      If one becomes available in the future, we can add support.\n *   2) in PyKeras, inputs can be Python dict. But here we are stipulating\n * that the data is either a single `tf.Tensor` or an Array of `tf.Tensor`s. We\n * may add support for `Object` data inputs in the future when the need\n * arises.\n *\n * Instead, we perform basic checks for number of parameters and shapes.\n *\n * @param data: The input data.\n * @param names: Name for the inputs, from the model.\n * @param shapes: Expected shapes for the input data, from the model.\n * @param checkBatchAxis: Whether the size along the batch axis (i.e., the\n *   first dimension) will be checked for matching.\n * @param exceptionPrefix: Execption prefix message, used in generating error\n *   messages.\n * @throws ValueError: on incorrect number of inputs or mismatches in shapes.\n */\nfunction checkInputData(\n    data: Tensor|Tensor[], names: string[], shapes?: Shape[],\n    checkBatchAxis = true, exceptionPrefix = '') {\n  let arrays: Tensor[];\n  if (Array.isArray(data)) {\n    if (data.length !== names.length) {\n      throw new ValueError(\n          `Error when checking model ${exceptionPrefix}: the Array of ` +\n          `Tensors that you are passing to your model is not the size the ` +\n          `the model expected. Expected to see ${names.length} Tensor(s),` +\n          ` but instead got ${data.length} Tensors(s).`);\n    }\n    arrays = data;\n  } else {\n    if (names.length > 1) {\n      throw new ValueError(\n          `The model expects ${names.length} ${exceptionPrefix} Tensors, ` +\n          `but only received one Tensor. Found: array with shape ` +\n          `${JSON.stringify(data.shape)}.`);\n    }\n    arrays = [data];\n  }\n\n  if (shapes != null) {\n    for (let i = 0; i < names.length; ++i) {\n      if (shapes[i] == null) {\n        continue;\n      }\n      const array = arrays[i];\n      if (array.shape.length !== shapes[i].length) {\n        throw new ValueError(\n            `Error when checking ${exceptionPrefix}: expected ${names[i]} ` +\n            `to have ${shapes[i].length} dimension(s), but got array with ` +\n            `shape ${JSON.stringify(array.shape)}`);\n      }\n      for (let j = 0; j < shapes[i].length; ++j) {\n        if (j === 0 && !checkBatchAxis) {\n          continue;\n        }\n        const dim = array.shape[j];\n        const refDim = shapes[i][j];\n        if (refDim != null) {\n          if (refDim !== dim) {\n            throw new ValueError(\n                `Error when checking ${exceptionPrefix}: expected ` +\n                `${names[i]} to have shape ${JSON.stringify(shapes[i])} but ` +\n                `got array with shape ${JSON.stringify(array.shape)}.`);\n          }\n        }\n      }\n    }\n  }\n}\n\n/**\n * Maps metric functions to model outputs.\n * @param metrics An shortcut strings name, metric function, `Array` or dict\n *   (`Object`) of metric functions.\n * @param outputNames An `Array` of the names of model outputs.\n * @returns An `Array` (one entry per model output) of `Array` of metric\n *   functions. For instance, if the model has 2 outputs, and for the first\n *   output we want to compute `binaryAccuracy` and `binaryCrossentropy`,\n *   and just `binaryAccuracy` for the second output, the `Array` would look\n *   like:\n *     `[[binaryAccuracy, binaryCrossentropy],  [binaryAccuracy]]`\n * @throws TypeError: incompatible metrics format.\n */\nexport function collectMetrics(\n    metrics: string|LossOrMetricFn|Array<string|LossOrMetricFn>|\n    {[outputName: string]: string | LossOrMetricFn},\n    outputNames: string[]): Array<Array<string|LossOrMetricFn>> {\n  if (metrics == null || Array.isArray(metrics) && metrics.length === 0) {\n    return outputNames.map(name => []);\n  }\n\n  let wrappedMetrics: Array<string|LossOrMetricFn>|\n      {[outputName: string]: string | LossOrMetricFn};\n  if (typeof metrics === 'string' || typeof metrics === 'function') {\n    wrappedMetrics = [metrics];\n  } else if (Array.isArray(metrics) || typeof metrics === 'object') {\n    wrappedMetrics = metrics as Array<string|LossOrMetricFn>|\n        {[outputName: string]: string} | {[outputName: string]: LossOrMetricFn};\n  } else {\n    throw new TypeError(\n        'Type of metrics argument not understood. Expected an string,' +\n        `function, Array, or Object, found: ${metrics}`);\n  }\n\n  if (Array.isArray(wrappedMetrics)) {\n    // We then apply all metrics to all outputs.\n    return outputNames.map(\n        name => wrappedMetrics as Array<string|LossOrMetricFn>);\n  } else {\n    // In this case, metrics is a dict.\n    const nestedMetrics: Array<Array<string|LossOrMetricFn>> = [];\n    for (const name of outputNames) {\n      let outputMetrics: string|LossOrMetricFn|Array<string|LossOrMetricFn> =\n          wrappedMetrics.hasOwnProperty(name) ? wrappedMetrics[name] : [];\n      if (!Array.isArray(outputMetrics)) {\n        outputMetrics = [outputMetrics];\n      }\n      nestedMetrics.push(outputMetrics);\n    }\n    return nestedMetrics;\n  }\n}\n\nexport interface ModelEvaluateArgs {\n  /**\n   * Batch size (Integer). If unspecified, it will default to 32.\n   */\n  batchSize?: number;\n\n  /**\n   * Verbosity mode.\n   */\n  verbose?: ModelLoggingVerbosity;\n\n  /**\n   * Tensor of weights to weight the contribution of different samples to the\n   * loss and metrics.\n   */\n  sampleWeight?: Tensor;\n\n  /**\n   * integer: total number of steps (batches of samples)\n   * before declaring the evaluation round finished. Ignored with the default\n   * value of `undefined`.\n   */\n  steps?: number;\n}\n\n/**\n * Configuration for calls to `LayersModel.compile()`.\n */\nexport interface ModelCompileArgs {\n  /**\n   * An instance of `tf.train.Optimizer` or a string name for an Optimizer.\n   */\n  optimizer: string|Optimizer;\n\n  /**\n   * Object function(s) or name(s) of object function(s).\n   * If the model has multiple outputs, you can use a different loss\n   * on each output by passing a dictionary or an Array of losses.\n   * The loss value that will be minimized by the model will then be the sum\n   * of all individual losses.\n   */\n  loss: string|string[]|{[outputName: string]: string}|LossOrMetricFn|\n      LossOrMetricFn[]|{[outputName: string]: LossOrMetricFn};\n\n  /**\n   * List of metrics to be evaluated by the model during training and testing.\n   * Typically you will use `metrics=['accuracy']`.\n   * To specify different metrics for different outputs of a multi-output\n   * model, you could also pass a dictionary.\n   */\n  metrics?: string|LossOrMetricFn|Array<string|LossOrMetricFn>|\n      {[outputName: string]: string | LossOrMetricFn};\n\n  // TODO(cais): Add lossWeights, sampleWeightMode, weightedMetrics, and\n  //   targetTensors.\n}\n\nconst LAYERS_MODEL_FORMAT_NAME = 'layers-model';\n\n/**\n * A `tf.LayersModel` is a directed, acyclic graph of `tf.Layer`s plus methods\n * for training, evaluation, prediction and saving.\n *\n * `tf.LayersModel` is the basic unit of training, inference and evaluation in\n * TensorFlow.js. To create a `tf.LayersModel`, use `tf.LayersModel`.\n *\n * See also:\n *   `tf.Sequential`, `tf.loadLayersModel`.\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class LayersModel extends Container implements tfc.InferenceModel {\n  // The class name is 'Model' rather than 'LayersModel' for backwards\n  // compatibility since this class name shows up in the serialization format.\n  /** @nocollapse */\n  static className = 'Model';\n  protected optimizer_: Optimizer;\n  // Whether the model instance owns the optimizer: `true` if and only if\n  // `optimizer` is created from a string parameter during `compile()` call.\n  protected isOptimizerOwned: boolean;\n\n  loss: string|string[]|{[outputName: string]: string}|LossOrMetricFn|\n      LossOrMetricFn[]|{[outputName: string]: LossOrMetricFn};\n  lossFunctions: LossOrMetricFn[];\n\n  // TODO(cais): These private variables should probably not have the string\n  //   'feed' in their names, because we are not dealing with a symbolic\n  //   backend.\n  private feedOutputShapes: Shape[];\n  private feedLossFns: LossOrMetricFn[];\n  private collectedTrainableWeights: LayerVariable[];\n  private testFunction: (data: Tensor[]) => Scalar[];\n  history: History;\n\n  // A public property that can be set by Callbacks to order early stopping\n  // during `fit()` calls.\n  protected stopTraining_: boolean;\n  protected isTraining: boolean;\n\n  metrics: string|LossOrMetricFn|Array<string|LossOrMetricFn>|\n      {[outputName: string]: string | LossOrMetricFn};\n  metricsNames: string[];\n  // Porting Note: `metrics_tensors` in PyKeras is a symbolic tensor. But given\n  //   the imperative nature of tfjs-core, `metricsTensors` is a\n  //   TypeScript function here.\n  //   Also note that due to the imperative nature of tfjs-core, `metricsTensor`\n  //   here needs an output index to keep track of which output of the\n  //   LayersModel a metric belongs to. This is unlike `metrics_tensors` in\n  //   PyKeras, which is a `list` of symbolic tensors, each of which has\n  //   implicit \"knowledge\" of the outputs it depends on.\n  metricsTensors: Array<[LossOrMetricFn, number]>;\n\n  // User defind metadata (if any).\n  private userDefinedMetadata: {};\n\n  constructor(args: ContainerArgs) {\n    super(args);\n    this.isTraining = false;\n  }\n\n  /**\n   * Print a text summary of the model's layers.\n   *\n   * The summary includes\n   * - Name and type of all layers that comprise the model.\n   * - Output shape(s) of the layers\n   * - Number of weight parameters of each layer\n   * - If the model has non-sequential-like topology, the inputs each layer\n   *   receives\n   * - The total number of trainable and non-trainable parameters of the model.\n   *\n   * ```js\n   * const input1 = tf.input({shape: [10]});\n   * const input2 = tf.input({shape: [20]});\n   * const dense1 = tf.layers.dense({units: 4}).apply(input1);\n   * const dense2 = tf.layers.dense({units: 8}).apply(input2);\n   * const concat = tf.layers.concatenate().apply([dense1, dense2]);\n   * const output =\n   *     tf.layers.dense({units: 3, activation: 'softmax'}).apply(concat);\n   *\n   * const model = tf.model({inputs: [input1, input2], outputs: output});\n   * model.summary();\n   * ```\n   *\n   * @param lineLength Custom line length, in number of characters.\n   * @param positions Custom widths of each of the columns, as either\n   *   fractions of `lineLength` (e.g., `[0.5, 0.75, 1]`) or absolute number\n   *   of characters (e.g., `[30, 50, 65]`). Each number corresponds to\n   *   right-most (i.e., ending) position of a column.\n   * @param printFn Custom print function. Can be used to replace the default\n   *   `console.log`. For example, you can use `x => {}` to mute the printed\n   *   messages in the console.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  summary(\n      lineLength?: number, positions?: number[],\n      printFn:\n          // tslint:disable-next-line:no-any\n      (message?: any, ...optionalParams: any[]) => void = console.log) {\n    if (!this.built) {\n      throw new ValueError(\n          `This model has never been called, thus its weights have not been ` +\n          `created yet. So no summary can be displayed. Build the model ` +\n          `first (e.g., by calling it on some test data).`);\n    }\n    printSummary(this, lineLength, positions, printFn);\n  }\n\n  /**\n   * Configures and prepares the model for training and evaluation.  Compiling\n   * outfits the model with an optimizer, loss, and/or metrics.  Calling `fit`\n   * or `evaluate` on an un-compiled model will throw an error.\n   *\n   * @param args a `ModelCompileArgs` specifying the loss, optimizer, and\n   * metrics to be used for fitting and evaluating this model.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  compile(args: ModelCompileArgs): void {\n    if (args.loss == null) {\n      args.loss = [];\n    }\n    this.loss = args.loss;\n\n    if (typeof args.optimizer === 'string') {\n      this.optimizer_ = optimizers.getOptimizer(args.optimizer);\n      this.isOptimizerOwned = true;\n    } else {\n      if (!(args.optimizer instanceof Optimizer)) {\n        throw new ValueError(\n            `User-defined optimizer must be an instance of tf.Optimizer.`);\n      }\n      this.optimizer_ = args.optimizer;\n      this.isOptimizerOwned = false;\n    }\n\n    // TODO(cais): Add lossWeights.\n    // TODO(cais): Add sampleWeightMode.\n\n    // Prepare loss functions.\n    let lossFunctions: LossOrMetricFn[] = [];\n    if (!Array.isArray(args.loss) && typeof args.loss !== 'string' &&\n        typeof args.loss !== 'function') {\n      args.loss = args.loss as {[outputName: string]: string};\n      for (const name in args.loss) {\n        if (this.outputNames.indexOf(name) === -1) {\n          throw new ValueError(\n              `Unknown entry in loss dictionary: \"${name}\". ` +\n              `Only expected the following keys: ${this.outputNames}`);\n        }\n      }\n      for (const name of this.outputNames) {\n        if (args.loss[name] == null) {\n          console.warn(\n              `Output \"${name}\" is missing from loss dictionary. We assume ` +\n              `this was done on purpose, and we will not be expecting data ` +\n              `to be passed to ${name} during training`);\n        }\n        lossFunctions.push(losses.get(args.loss[name]));\n      }\n    } else if (Array.isArray(args.loss)) {\n      if (args.loss.length !== this.outputs.length) {\n        throw new ValueError(\n            `When passing an Array as loss, it should have one entry per ` +\n            `model output. The model has ${this.outputs.length} output(s), ` +\n            `but you passed loss=${args.loss}.`);\n      }\n      const theLosses = args.loss as Array<string|LossOrMetricFn>;\n      lossFunctions = theLosses.map(l => losses.get(l));\n    } else {\n      const lossFunction = losses.get(args.loss);\n      this.outputs.forEach(_ => {\n        lossFunctions.push(lossFunction);\n      });\n    }\n\n    this.lossFunctions = lossFunctions;\n\n    this.feedOutputNames = [];\n    this.feedOutputShapes = [];\n    this.feedLossFns = [];\n    for (let i = 0; i < this.outputs.length; ++i) {\n      // TODO(cais): Logic for skipping target(s).\n      const shape = this.internalOutputShapes[i];\n      const name = this.outputNames[i];\n      this.feedOutputNames.push(name);\n      this.feedOutputShapes.push(shape);\n      this.feedLossFns.push(this.lossFunctions[i]);\n    }\n\n    // TODO(cais): Add logic for output masks.\n    // TODO(cais): Add logic for sample weights.\n    const skipTargetIndices: number[] = [];\n\n    // Prepare metrics.\n    this.metrics = args.metrics;\n    // TODO(cais): Add weightedMetrics.\n    this.metricsNames = ['loss'];\n    this.metricsTensors = [];\n\n    // Compute total loss.\n    // Porting Note: In PyKeras, metrics_tensors are symbolic tensor objects.\n    //   Here, metricsTensors are TypeScript functions. This difference is due\n    //   to the difference in symbolic/imperative property of the backends.\n    nameScope('loss', () => {\n      for (let i = 0; i < this.outputs.length; ++i) {\n        if (skipTargetIndices.indexOf(i) !== -1) {\n          continue;\n        }\n        // TODO(cais): Add weightedLoss, sampleWeight and mask.\n        //   The following line should be weightedLoss\n        const weightedLoss = this.lossFunctions[i];\n        if (this.outputs.length > 1) {\n          this.metricsTensors.push([weightedLoss, i]);\n          this.metricsNames.push(this.outputNames[i] + '_loss');\n        }\n      }\n\n      // Porting Note: Due to the imperative nature of the backend, we calculate\n      //   the regularizer penalties in the totalLossFunction, instead of here.\n    });\n\n    const nestedMetrics = collectMetrics(args.metrics, this.outputNames);\n    // TODO(cais): Add nestedWeightedMetrics.\n\n    /**\n     * Helper function used in loop below.\n     */\n    const appendMetric =\n        (outputIndex: number, metricName: string,\n         metricTensor: LossOrMetricFn) => {\n          if (this.outputNames.length > 1) {\n            metricName = this.outputNames[outputIndex] + '_' + metricName;\n          }\n          this.metricsNames.push(metricName);\n          this.metricsTensors.push([metricTensor, outputIndex]);\n        };\n\n    nameScope('metric', () => {\n      for (let i = 0; i < this.outputs.length; ++i) {\n        if (skipTargetIndices.indexOf(i) !== -1) {\n          continue;\n        }\n        const outputMetrics = nestedMetrics[i];\n        // TODO(cais): Add weights and outputWeightedMetrics.\n\n        // TODO(cais): Add optional arg `weights` to the following function.\n        const handleMetrics = (metrics: Array<string|LossOrMetricFn>) => {\n          const metricNamePrefix = '';\n          let metricName: string;\n          let accFn: LossOrMetricFn;\n          let weightedMetricFn: LossOrMetricFn;\n          //  TODO(cais): Use 'weights_' for weighted metrics.\n\n          for (const metric of metrics) {\n            if (typeof metric === 'string' &&\n                ['accuracy', 'acc', 'crossentropy', 'ce'].indexOf(metric) !==\n                    -1) {\n              const outputShape = this.internalOutputShapes[i];\n\n              if (outputShape[outputShape.length - 1] === 1 ||\n                  this.lossFunctions[i] === losses.binaryCrossentropy) {\n                // case: binary accuracy/crossentropy.\n                if (['accuracy', 'acc'].indexOf(metric) !== -1) {\n                  accFn = Metrics.binaryAccuracy;\n                } else if (['crossentropy', 'ce'].indexOf(metric) !== -1) {\n                  accFn = Metrics.binaryCrossentropy;\n                }\n              } else if (\n                  this.lossFunctions[i] ===\n                  losses.sparseCategoricalCrossentropy) {\n                // case: categorical accuracy / crossentropy with sparse\n                // targets.\n                if (['accuracy', 'acc'].indexOf(metric) !== -1) {\n                  accFn = Metrics.sparseCategoricalAccuracy;\n                } else if (['crossentropy', 'ce'].indexOf(metric) !== -1) {\n                  accFn = Metrics.sparseCategoricalCrossentropy;\n                }\n              } else {\n                // case: categorical accuracy / crossentropy.\n                if (['accuracy', 'acc'].indexOf(metric) !== -1) {\n                  accFn = Metrics.categoricalAccuracy;\n                } else if (['crossentropy', 'ce'].indexOf(metric) !== -1) {\n                  accFn = Metrics.categoricalCrossentropy;\n                }\n              }\n              let suffix: string;\n              if (['accuracy', 'acc'].indexOf(metric) !== -1) {\n                suffix = 'acc';\n              } else if (['crossentropy', 'ce'].indexOf(metric) !== -1) {\n                suffix = 'ce';\n              }\n              // TODO(cais): Add weighting actually.\n              weightedMetricFn = accFn;\n              metricName = metricNamePrefix + suffix;\n            } else {\n              const metricFn = Metrics.get(metric);\n              // TODO(cais): Add weighting actually.\n              weightedMetricFn = metricFn;\n              metricName =\n                  metricNamePrefix + Metrics.getLossOrMetricName(metric);\n            }\n\n            // TODO(cais): Add weighting and masking to metricResult.\n            let metricResult: LossOrMetricFn;\n            nameScope(metricName, () => {\n              metricResult = weightedMetricFn;\n            });\n            appendMetric(i, metricName, metricResult);\n          }\n        };\n\n        handleMetrics(outputMetrics);\n        // TODO(cais): Call handleMetrics with weights.\n      }\n    });\n\n    // Porting Notes: Given the imperative backend of tfjs-core,\n    //   there is no need for constructing the symbolic graph and placeholders.\n    this.collectedTrainableWeights = this.trainableWeights;\n  }\n\n  /**\n   * Check trainable weights count consistency.\n   *\n   * This will raise a warning if `this.trainableWeights` and\n   * `this.collectedTrainableWeights` are inconsistent (i.e., have different\n   * numbers of parameters).\n   * Inconsistency will typically arise when one modifies `model.trainable`\n   * without calling `model.compile()` again.\n   */\n  protected checkTrainableWeightsConsistency(): void {\n    if (this.collectedTrainableWeights == null) {\n      return;\n    }\n    if (this.trainableWeights.length !==\n        this.collectedTrainableWeights.length) {\n      console.warn(\n          'Discrepancy between trainableweights and collected trainable ' +\n          'weights. Did you set `model.trainable` without calling ' +\n          '`model.compile()` afterwards?');\n    }\n  }\n\n  /**\n   * Returns the loss value & metrics values for the model in test mode.\n   *\n   * Loss and metrics are specified during `compile()`, which needs to happen\n   * before calls to `evaluate()`.\n   *\n   * Computation is done in batches.\n   *\n   * ```js\n   * const model = tf.sequential({\n   *   layers: [tf.layers.dense({units: 1, inputShape: [10]})]\n   * });\n   * model.compile({optimizer: 'sgd', loss: 'meanSquaredError'});\n   * const result = model.evaluate(\n   *     tf.ones([8, 10]), tf.ones([8, 1]), {batchSize: 4});\n   * result.print();\n   * ```\n   *\n   * @param x `tf.Tensor` of test data, or an `Array` of `tf.Tensor`s if the\n   * model has multiple inputs.\n   * @param y `tf.Tensor` of target data, or an `Array` of `tf.Tensor`s if the\n   * model has multiple outputs.\n   * @param args A `ModelEvaluateArgs`, containing optional fields.\n   *\n   * @return `Scalar` test loss (if the model has a single output and no\n   *   metrics) or `Array` of `Scalar`s (if the model has multiple outputs\n   *   and/or metrics). The attribute `model.metricsNames`\n   *   will give you the display labels for the scalar outputs.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  evaluate(\n      x: Tensor|Tensor[], y: Tensor|Tensor[],\n      args: ModelEvaluateArgs = {}): Scalar|Scalar[] {\n    const batchSize = args.batchSize == null ? 32 : args.batchSize;\n    checkBatchSize(batchSize);\n\n    // TODO(cais): Standardize `config.sampleWeights` as well.\n    // Validate user data.\n    const checkBatchAxis = true;\n    const standardizedOuts =\n        this.standardizeUserDataXY(x, y, checkBatchAxis, batchSize);\n    try {\n      // TODO(cais): If uses `useLearningPhase`, set the corresponding element\n      // of the input to 0.\n      const ins = standardizedOuts[0].concat(standardizedOuts[1]);\n      this.makeTestFunction();\n      const f = this.testFunction;\n      const testOuts =\n          this.testLoop(f, ins, batchSize, args.verbose, args.steps);\n      return singletonOrArray(testOuts);\n    } finally {\n      disposeNewTensors(standardizedOuts[0], x);\n      disposeNewTensors(standardizedOuts[1], y);\n    }\n  }\n\n  // TODO(cais): Add code snippet below once real dataset objects are\n  //   available.\n  /**\n   * Evaluate model using a dataset object.\n   *\n   * Note: Unlike `evaluate()`, this method is asynchronous (`async`);\n   *\n   * @param dataset A dataset object. Its `iterator()` method is expected\n   *   to generate a dataset iterator object, the `next()` method of which\n   *   is expected to produce data batches for evaluation. The return value\n   *   of the `next()` call ought to contain a boolean `done` field and a\n   *   `value` field. The `value` field is expected to be an array of two\n   *   `tf.Tensor`s or an array of two nested `tf.Tensor` structures. The former\n   *   case is for models with exactly one input and one output (e.g..\n   *   a sequential model). The latter case is for models with multiple\n   *   inputs and/or multiple outputs. Of the two items in the array, the\n   *   first is the input feature(s) and the second is the output target(s).\n   * @param args A configuration object for the dataset-based evaluation.\n   * @returns Loss and metric values as an Array of `Scalar` objects.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  async evaluateDataset(dataset: Dataset<{}>, args?: ModelEvaluateDatasetArgs):\n      Promise<Scalar|Scalar[]> {\n    this.makeTestFunction();\n    return evaluateDataset(this, dataset, args);\n  }\n\n  /**\n   * Get number of samples provided for training, evaluation or prediction.\n   *\n   * @param ins Input `tf.Tensor`.\n   * @param batchSize Integer batch size, optional.\n   * @param steps Total number of steps (batches of samples) before\n   * declaring loop finished. Optional.\n   * @param stepsName The public API's parameter name for `steps`.\n   * @returns Number of samples provided.\n   */\n  private checkNumSamples(\n      ins: Tensor|Tensor[], batchSize?: number, steps?: number,\n      stepsName = 'steps'): number {\n    let numSamples: number;\n    if (steps != null) {\n      numSamples = null;\n      if (batchSize != null) {\n        throw new ValueError(\n            `If ${stepsName} is set, batchSize must be null or undefined.` +\n            `Got batchSize = ${batchSize}`);\n      }\n    } else if (ins != null) {\n      if (Array.isArray(ins)) {\n        numSamples = ins[0].shape[0];\n      } else {\n        numSamples = ins.shape[0];\n      }\n    } else {\n      throw new ValueError(\n          `Either the input data should have a defined shape, or ` +\n          `${stepsName} shoud be specified.`);\n    }\n    return numSamples;\n  }\n\n  /**\n   * Execute internal tensors of the model with input data feed.\n   * @param inputs Input data feed. Must match the inputs of the model.\n   * @param outputs Names of the output tensors to be fetched. Must match\n   *   names of the SymbolicTensors that belong to the graph.\n   * @returns Fetched values for `outputs`.\n   */\n  execute(inputs: Tensor|Tensor[]|NamedTensorMap, outputs: string|string[]):\n      Tensor|Tensor[] {\n    if (Array.isArray(outputs) && outputs.length === 0) {\n      throw new ValueError(\n          '`outputs` is an empty Array, which is not allowed.');\n    }\n\n    const outputsIsArray = Array.isArray(outputs);\n    const outputNames =\n        (outputsIsArray ? outputs as string[] : [outputs as string]);\n    const outputSymbolicTensors = this.retrieveSymbolicTensors(outputNames);\n\n    // Format the input into a FeedDict.\n    const feedDict = new FeedDict();\n    if (inputs instanceof Tensor) {\n      inputs = [inputs];\n    }\n    if (Array.isArray(inputs)) {\n      if (inputs.length !== this.inputs.length) {\n        throw new ValueError(\n            `The number of inputs provided (${inputs.length}) ` +\n            `does not match the number of inputs of this model ` +\n            `(${this.inputs.length}).`);\n      }\n      for (let i = 0; i < this.inputs.length; ++i) {\n        feedDict.add(this.inputs[i], inputs[i]);\n      }\n    } else {\n      for (const input of this.inputs) {\n        const tensorValue = inputs[input.name];\n        if (tensorValue == null) {\n          throw new ValueError(\n              `No value is provided for the model's input ${input.name}`);\n        }\n        feedDict.add(input, tensorValue);\n      }\n    }\n\n    // Run execution.\n    const executeOutputs = execute(outputSymbolicTensors, feedDict) as Tensor[];\n    return outputsIsArray ? executeOutputs : executeOutputs[0];\n  }\n\n  /**\n   * Retrieve the model's internal symbolic tensors from symbolic-tensor names.\n   */\n  private retrieveSymbolicTensors(symbolicTensorNames: string[]):\n      SymbolicTensor[] {\n    const outputSymbolicTensors: SymbolicTensor[] =\n        pyListRepeat(null, symbolicTensorNames.length);\n    let outputsRemaining = symbolicTensorNames.length;\n    for (const layer of this.layers) {\n      const layerOutputs: SymbolicTensor[] =\n          Array.isArray(layer.output) ? layer.output : [layer.output];\n      const layerOutputNames = layerOutputs.map(output => output.name);\n      for (let i = 0; i < symbolicTensorNames.length; ++i) {\n        const index = layerOutputNames.indexOf(symbolicTensorNames[i]);\n        if (index !== -1) {\n          outputSymbolicTensors[i] = layerOutputs[index];\n          outputsRemaining--;\n        }\n        if (outputsRemaining === 0) {\n          break;\n        }\n      }\n      if (outputsRemaining === 0) {\n        break;\n      }\n    }\n\n    if (outputsRemaining > 0) {\n      const remainingNames: string[] = [];\n      outputSymbolicTensors.forEach((tensor, i) => {\n        if (tensor == null) {\n          remainingNames.push(symbolicTensorNames[i]);\n        }\n      });\n      throw new ValueError(\n          `Cannot find SymbolicTensors for output name(s): ` +\n          `${JSON.stringify(remainingNames)}`);\n    }\n    return outputSymbolicTensors;\n  }\n\n  /**\n   * Helper method to loop over some data in batches.\n   *\n   * Porting Note: Not using the functional approach in the Python equivalent\n   *   due to the imperative backend.\n   * Porting Note: Does not support step mode currently.\n   *\n   * @param ins: input data\n   * @param batchSize: integer batch size.\n   * @param verbose: verbosity model\n   * @returns: Predictions as `tf.Tensor` (if a single output) or an `Array` of\n   *   `tf.Tensor` (if multipe outputs).\n   */\n  private predictLoop(ins: Tensor|Tensor[], batchSize = 32, verbose = false):\n      Tensor|Tensor[] {\n    return tfc.tidy(() => {\n      const numSamples = this.checkNumSamples(ins);\n      if (verbose) {\n        throw new NotImplementedError(\n            'Verbose predictLoop() is not implemented yet.');\n      }\n\n      // Sample-based predictions.\n      // Porting Note: Tensor currently does not support sliced assignments as\n      //   in numpy, e.g., x[1:3] = y. Therefore we use concatenation while\n      //   iterating over the batches.\n\n      const batches = makeBatches(numSamples, batchSize);\n      const outsBatches: Tensor[][] = this.outputs.map(output => []);\n\n      // TODO(cais): Can the scope() be pushed down inside the for loop?\n      for (let batchIndex = 0; batchIndex < batches.length; ++batchIndex) {\n        const batchOuts = tfc.tidy(() => {\n          const batchStart = batches[batchIndex][0];\n          const batchEnd = batches[batchIndex][1];\n          // TODO(cais): Take care of the case of the last element is a flag for\n          //   training/test.\n          const insBatch = sliceArrays(ins, batchStart, batchEnd);\n\n          // Construct the feeds for execute();\n          const feeds = [];\n          if (Array.isArray(insBatch)) {\n            for (let i = 0; i < insBatch.length; ++i) {\n              feeds.push({key: this.inputs[i], value: insBatch[i]});\n            }\n          } else {\n            feeds.push({key: this.inputs[0], value: insBatch});\n          }\n          const feedDict = new FeedDict(feeds);\n          return execute(this.outputs, feedDict) as Tensor[];\n        });\n        batchOuts.forEach((batchOut, i) => outsBatches[i].push(batchOut));\n      }\n      return singletonOrArray(\n          outsBatches.map(batches => tfc.concat(batches, 0)));\n    });\n  }\n\n  /**\n   * Generates output predictions for the input samples.\n   *\n   * Computation is done in batches.\n   *\n   * Note: the \"step\" mode of predict() is currently not supported.\n   *   This is because the TensorFlow.js core backend is imperative only.\n   *\n   * ```js\n   * const model = tf.sequential({\n   *   layers: [tf.layers.dense({units: 1, inputShape: [10]})]\n   * });\n   * model.predict(tf.ones([8, 10]), {batchSize: 4}).print();\n   * ```\n   *\n   * @param x The input data, as an Tensor, or an `Array` of `tf.Tensor`s if\n   *   the model has multiple inputs.\n   * @param args A `ModelPredictArgs` object containing optional fields.\n   *\n   * @return Prediction results as a `tf.Tensor`(s).\n   *\n   * @exception ValueError In case of mismatch between the provided input data\n   *   and the model's expectations, or in case a stateful model receives a\n   *   number of samples that is not a multiple of the batch size.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  predict(x: Tensor|Tensor[], args: ModelPredictArgs = {}): Tensor|Tensor[] {\n    const xsRank2OrHigher = ensureTensorsRank2OrHigher(x);\n    checkInputData(\n        xsRank2OrHigher, this.inputNames, this.feedInputShapes, false);\n    try {\n      // TODO(cais): Take care of stateful models.\n      //   if (this.stateful) ...\n      // TODO(cais): Take care of the learning_phase boolean flag.\n      //   if (this.useLearningPhase) ...\n      const batchSize = args.batchSize == null ? 32 : args.batchSize;\n      checkBatchSize(batchSize);\n      return this.predictLoop(xsRank2OrHigher, batchSize);\n    } finally {\n      disposeNewTensors(xsRank2OrHigher, x);\n    }\n  }\n\n  /**\n   * Returns predictions for a single batch of samples.\n   *\n   * ```js\n   * const model = tf.sequential({\n   *   layers: [tf.layers.dense({units: 1, inputShape: [10]})]\n   * });\n   * model.predictOnBatch(tf.ones([8, 10])).print();\n   * ```\n   * @param x: Input samples, as an Tensor (for models with exactly one\n   *   input) or an array of Tensors (for models with more than one input).\n   * @return Tensor(s) of predictions\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  predictOnBatch(x: Tensor|Tensor[]): Tensor|Tensor[] {\n    checkInputData(x, this.inputNames, this.feedInputShapes, true);\n    // TODO(cais): Take care of the learning_phase boolean flag.\n    //   if (this.useLearningPhase) ...\n    const batchSize = (Array.isArray(x) ? x[0] : x).shape[0];\n    return this.predictLoop(x, batchSize);\n  }\n\n  protected standardizeUserDataXY(\n      x: Tensor|Tensor[]|{[inputName: string]: Tensor},\n      y: Tensor|Tensor[]|{[inputName: string]: Tensor}, checkBatchAxis = true,\n      batchSize?: number): [Tensor[], Tensor[]] {\n    // TODO(cais): Add sampleWeight, classWeight\n    if (this.optimizer_ == null) {\n      throw new RuntimeError(\n          'You must compile a model before training/testing. Use ' +\n          'LayersModel.compile(modelCompileArgs).');\n    }\n    const outputShapes: Shape[] = [];\n    for (let i = 0; i < this.feedOutputShapes.length; ++i) {\n      const outputShape = this.feedOutputShapes[i];\n      const lossFn = this.feedLossFns[i];\n      if (lossFn === losses.sparseCategoricalCrossentropy) {\n        outputShapes.push(\n            outputShape.slice(0, outputShape.length - 1).concat([1]));\n      } else {\n        // Porting Note: Because of strong typing `lossFn` must be a function.\n        outputShapes.push(outputShape);\n      }\n    }\n    x = standardizeInputData(\n        x, this.feedInputNames, this.feedInputShapes, false, 'input');\n    y = standardizeInputData(\n        y, this.feedOutputNames, outputShapes, false, 'target');\n    // TODO(cais): Standardize sampleWeights & classWeights.\n    checkArrayLengths(x, y, null);\n    // TODO(cais): Check sampleWeights as well.\n    checkLossAndTargetCompatibility(y, this.feedLossFns, this.feedOutputShapes);\n    if (this.stateful && batchSize != null && batchSize > 0) {\n      if (x[0].shape[0] % batchSize !== 0) {\n        throw new ValueError(\n            `In a stateful network, you should only pass inputs with a ` +\n            `number of samples that is divisible by the batch size ` +\n            `${batchSize}. Found: ${x[0].shape[0]} sample(s).`);\n      }\n    }\n    return [x, y];\n  }\n\n  protected async standardizeUserData(\n      x: Tensor|Tensor[]|{[inputName: string]: Tensor},\n      y: Tensor|Tensor[]|{[inputName: string]: Tensor},\n      sampleWeight?: Tensor|Tensor[]|{[outputName: string]: Tensor},\n      classWeight?: ClassWeight|ClassWeight[]|ClassWeightMap,\n      checkBatchAxis = true,\n      batchSize?: number): Promise<[Tensor[], Tensor[], Tensor[]]> {\n    const [standardXs, standardYs] =\n        this.standardizeUserDataXY(x, y, checkBatchAxis, batchSize);\n    // TODO(cais): Handle sampleWeights.\n    if (sampleWeight != null) {\n      throw new Error('sample weight is not supported yet.');\n    }\n\n    let standardSampleWeights: Tensor[] = null;\n    if (classWeight != null) {\n      const classWeights =\n          standardizeClassWeights(classWeight, this.outputNames);\n      standardSampleWeights = [];\n      for (let i = 0; i < classWeights.length; ++i) {\n        standardSampleWeights.push(\n            await standardizeWeights(standardYs[i], null, classWeights[i]));\n      }\n    }\n\n    // TODO(cais): Deal with the case of model.stateful == true.\n    return [standardXs, standardYs, standardSampleWeights];\n  }\n\n  /**\n   * Loop over some test data in batches.\n   * @param f A Function returning a list of tensors.\n   * @param ins Array of tensors to be fed to `f`.\n   * @param batchSize Integer batch size or `null` / `undefined`.\n   * @param verbose verbosity mode.\n   * @param steps Total number of steps (batches of samples) before\n   * declaring test finished. Ignored with the default value of `null` /\n   * `undefined`.\n   * @returns Array of Scalars.\n   */\n  private testLoop(\n      f: (data: Tensor[]) => Scalar[], ins: Tensor[], batchSize?: number,\n      verbose = 0, steps?: number): Scalar[] {\n    return tfc.tidy(() => {\n      const numSamples = this.checkNumSamples(ins, batchSize, steps, 'steps');\n      const outs: Scalar[] = [];\n      if (verbose > 0) {\n        throw new NotImplementedError('Verbose mode is not implemented yet.');\n      }\n      // TODO(cais): Use `indicesForConversionToDense' to prevent slow down.\n      if (steps != null) {\n        throw new NotImplementedError(\n            'steps mode in testLoop() is not implemented yet');\n      } else {\n        const batches = makeBatches(numSamples, batchSize);\n        const indexArray = tensor1d(range(0, numSamples));\n        for (let batchIndex = 0; batchIndex < batches.length; ++batchIndex) {\n          const batchStart = batches[batchIndex][0];\n          const batchEnd = batches[batchIndex][1];\n          const batchIds =\n              K.sliceAlongFirstAxis(\n                  indexArray, batchStart, batchEnd - batchStart) as Tensor1D;\n          // TODO(cais): In ins, train flag can be a number, instead of an\n          //   Tensor? Do we need to handle this in tfjs-layers?\n          const insBatch = sliceArraysByIndices(ins, batchIds) as Scalar[];\n          const batchOuts = f(insBatch);\n          if (batchIndex === 0) {\n            for (let i = 0; i < batchOuts.length; ++i) {\n              outs.push(scalar(0));\n            }\n          }\n          for (let i = 0; i < batchOuts.length; ++i) {\n            const batchOut = batchOuts[i];\n            outs[i] =\n                tfc.add(outs[i], tfc.mul(batchEnd - batchStart, batchOut));\n          }\n        }\n        for (let i = 0; i < outs.length; ++i) {\n          outs[i] = tfc.div(outs[i], numSamples);\n        }\n      }\n      return outs;\n    });\n  }\n\n  protected getDedupedMetricsNames(): string[] {\n    const outLabels = this.metricsNames;\n    // Rename duplicated metrics names (can happen with an output layer\n    // shared among multiple dataflows).\n    const dedupedOutLabels = [];\n    for (let i = 0; i < outLabels.length; ++i) {\n      const label = outLabels[i];\n      let newLabel = label;\n      if (count(outLabels, label) > 1) {\n        const dupIndex = count(outLabels.slice(0, i), label);\n        newLabel += `_${dupIndex}`;\n      }\n      dedupedOutLabels.push(newLabel);\n    }\n    return dedupedOutLabels;\n  }\n\n  /**\n   * Creates a function that performs the following actions:\n   *\n   * 1. computes the losses\n   * 2. sums them to get the total loss\n   * 3. call the optimizer computes the gradients of the LayersModel's\n   *    trainable weights w.r.t. the total loss and update the variables\n   * 4. calculates the metrics\n   * 5. returns the values of the losses and metrics.\n   */\n  protected makeTrainFunction(): (data: Tensor[]) => Scalar[] {\n    return (data: Tensor[]) => {\n      const lossValues: Scalar[] = [];\n\n      const inputs = data.slice(0, this.inputs.length);\n      const targets = data.slice(\n          this.inputs.length, this.inputs.length + this.outputs.length);\n      const sampleWeights = data.slice(\n          this.inputs.length + this.outputs.length,\n          this.inputs.length + this.outputs.length * 2);\n\n      const metricsValues: Scalar[] = [];\n\n      // Create a function that computes the total loss based on the\n      // inputs. This function is used for obtaining gradients through\n      // backprop.\n      const totalLossFunction = () => {\n        const feeds = [];\n        for (let i = 0; i < this.inputs.length; ++i) {\n          feeds.push({key: this.inputs[i], value: inputs[i]});\n        }\n        const feedDict = new FeedDict(feeds);\n        const outputs =\n            execute(this.outputs, feedDict, {'training': true}) as Tensor[];\n        // TODO(cais): Take care of the case of multiple outputs from a\n        //   single layer?\n\n        let totalLoss: Tensor;\n        for (let i = 0; i < this.lossFunctions.length; ++i) {\n          const lossFunction = this.lossFunctions[i];\n          let loss = lossFunction(targets[i], outputs[i]);\n          if (sampleWeights[i] != null) {\n            loss = computeWeightedLoss(loss, sampleWeights[i]);\n          }\n\n          // TODO(cais): push Scalar instead.\n          const meanLoss: Scalar = tfc.mean(loss);\n          // TODO(cais): Use a scope() instead, to avoid ownership.\n          lossValues.push(meanLoss);\n          if (i === 0) {\n            totalLoss = loss;\n          } else {\n            totalLoss = tfc.add(totalLoss, loss);\n          }\n        }\n\n        // Compute the metrics.\n        // TODO(cais): These should probably be calculated outside\n        //   totalLossFunction to benefit speed?\n        for (let i = 0; i < this.metricsTensors.length; ++i) {\n          let weightedMetric: Scalar;\n\n          if (this.outputs.length > 1 && i < this.outputs.length) {\n            weightedMetric = lossValues[i];\n          } else {\n            const metric = this.metricsTensors[i][0];\n            const outputIndex = this.metricsTensors[i][1];\n            weightedMetric =\n                tfc.mean(metric(targets[outputIndex], outputs[outputIndex]));\n          }\n\n          tfc.keep(weightedMetric);\n          // TODO(cais): Use a scope() instead, to avoid ownership.\n          metricsValues.push(weightedMetric);\n        }\n\n        totalLoss = tfc.mean(totalLoss);\n\n        // Add regularizer penalties.\n        this.calculateLosses().forEach(regularizerLoss => {\n          totalLoss = tfc.add(totalLoss, regularizerLoss);\n        });\n\n        return totalLoss as Scalar;\n      };\n\n      const variables = this.collectedTrainableWeights.map(\n          param => param.read() as tfc.Variable);\n      const returnCost = true;\n      const totalLossValue =\n          this.optimizer_.minimize(totalLossFunction, returnCost, variables);\n\n      return [totalLossValue].concat(metricsValues);\n    };\n  }\n\n  /**\n   * Create a function which, when invoked with an array of `tf.Tensor`s as a\n   * batch of inputs, returns the prespecified loss and metrics of the model\n   * under the batch of input data.\n   */\n  private makeTestFunction() {\n    this.testFunction = (data: Tensor[]) => {\n      return tfc.tidy(() => {\n        const valOutputs: Scalar[] = [];\n        let totalLoss: Scalar;\n        const inputs = data.slice(0, this.inputs.length);\n        const targets = data.slice(\n            this.inputs.length, this.inputs.length + this.outputs.length);\n        const feeds = [];\n        for (let i = 0; i < this.inputs.length; ++i) {\n          feeds.push({key: this.inputs[i], value: inputs[i]});\n        }\n        const feedDict = new FeedDict(feeds);\n        const outputs = execute(this.outputs, feedDict) as Tensor[];\n        // Compute total loss.\n        for (let i = 0; i < this.lossFunctions.length; ++i) {\n          const lossFunction = this.lossFunctions[i];\n          // TODO(cais): Add sample weighting and replace the simple\n          // averaging.\n          const loss: Scalar = tfc.mean(lossFunction(targets[i], outputs[i]));\n          if (i === 0) {\n            totalLoss = loss;\n          } else {\n            totalLoss = tfc.add(totalLoss, loss);\n          }\n          valOutputs.push(totalLoss);\n        }\n        // Compute the metrics.\n        for (let i = 0; i < this.metricsTensors.length; ++i) {\n          const metric = this.metricsTensors[i][0];\n          const outputIndex = this.metricsTensors[i][1];\n          // TODO(cais): Replace K.mean() with a proper weighting function.\n          const meanMetric =\n              tfc.mean(metric(targets[outputIndex], outputs[outputIndex]));\n          valOutputs.push(meanMetric as Scalar);\n        }\n        return valOutputs;\n      });\n    };\n  }\n\n  /**\n   * Trains the model for a fixed number of epochs (iterations on a\n   * dataset).\n   *\n   * ```js\n   * const model = tf.sequential({\n   *     layers: [tf.layers.dense({units: 1, inputShape: [10]})]\n   * });\n   * model.compile({optimizer: 'sgd', loss: 'meanSquaredError'});\n   * for (let i = 1; i < 5 ; ++i) {\n   *   const h = await model.fit(tf.ones([8, 10]), tf.ones([8, 1]), {\n   *       batchSize: 4,\n   *       epochs: 3\n   *   });\n   *   console.log(\"Loss after Epoch \" + i + \" : \" + h.history.loss[0]);\n   * }\n   * ```\n   *\n   * @param x `tf.Tensor` of training data, or an array of `tf.Tensor`s if the\n   * model has multiple inputs. If all inputs in the model are named, you\n   * can also pass a dictionary mapping input names to `tf.Tensor`s.\n   * @param y `tf.Tensor` of target (label) data, or an array of `tf.Tensor`s if\n   * the model has multiple outputs. If all outputs in the model are named,\n   * you can also pass a dictionary mapping output names to `tf.Tensor`s.\n   * @param args A `ModelFitArgs`, containing optional fields.\n   *\n   * @return A `History` instance. Its `history` attribute contains all\n   *   information collected during training.\n   *\n   * @exception ValueError In case of mismatch between the provided input\n   * data and what the model expects.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  async fit(\n      x: Tensor|Tensor[]|{[inputName: string]: Tensor},\n      y: Tensor|Tensor[]|{[inputName: string]: Tensor},\n      args: ModelFitArgs = {}): Promise<History> {\n    return fitTensors(this, x, y, args);\n  }\n\n  // TODO(cais): Add code snippet below when it's possible to instantiate\n  //   actual dataset objects.\n  /**\n   * Trains the model using a dataset object.\n   *\n   * @param dataset A dataset object. Its `iterator()` method is expected\n   *   to generate a dataset iterator object, the `next()` method of which\n   *   is expected to produce data batches for training. The return value\n   *   of the `next()` call ought to contain a boolean `done` field and a\n   *   `value` field. The `value` field is expected to be an array of two\n   *   `tf.Tensor`s or an array of two nested `tf.Tensor` structures. The former\n   *   case is for models with exactly one input and one output (e.g..\n   *   a sequential model). The latter case is for models with multiple\n   *   inputs and/or multiple outputs.\n   *   Of the two items in the array, the first is the input feature(s) and\n   *   the second is the output target(s).\n   * @param args A `ModelFitDatasetArgs`, containing optional fields.\n   *\n   * @return A `History` instance. Its `history` attribute contains all\n   *   information collected during training.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  async fitDataset<T>(dataset: Dataset<T>, args: ModelFitDatasetArgs<T>):\n      Promise<History> {\n    return fitDataset(this, dataset, args);\n  }\n\n  /**\n   * Runs a single gradient update on a single batch of data.\n   *\n   * This method differs from `fit()` and `fitDataset()` in the following\n   * regards:\n   *   - It operates on exactly one batch of data.\n   *   - It returns only the loss and matric values, instead of\n   *     returning the batch-by-batch loss and metric values.\n   *   - It doesn't support fine-grained options such as verbosity and\n   *     callbacks.\n   *\n   * @param x Input data. It could be one of the following:\n   *   - A `tf.Tensor`, or an Array of `tf.Tensor`s (in case the model has\n   *     multiple inputs).\n   *   - An Object mapping input names to corresponding `tf.Tensor` (if the\n   *     model has named inputs).\n   * @param y Target darta. It could be either a `tf.Tensor` a multiple\n   *   `tf.Tensor`s. It should be consistent with `x`.\n   * @returns Training loss or losses (in case the model has\n   *   multiple outputs), along with metrics (if any), as numbers.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  async trainOnBatch(\n      x: Tensor|Tensor[]|{[inputName: string]: Tensor},\n      y: Tensor|Tensor[]|\n      {[inputName: string]: Tensor}): Promise<number|number[]> {\n    // TODO(cais): Support sampleWeight and classWeight.\n    // TODO(cais): Support Dataset objects.\n    const standardizeOut = await this.standardizeUserData(x, y);\n    const inputs = standardizeOut[0];\n    const targets = standardizeOut[1];\n    const trainFunction = this.makeTrainFunction();\n    const losses = trainFunction(inputs.concat(targets));\n    const lossValues: number[] = [];\n    for (const loss of losses) {\n      const v = await loss.data();\n      lossValues.push(v[0]);\n    }\n    tfc.dispose(losses);\n    return singletonOrArray(lossValues);\n  }\n\n  /**\n   * Extract weight values of the model.\n   *\n   * @param config: An instance of `io.SaveConfig`, which specifies\n   * model-saving options such as whether only trainable weights are to be\n   * saved.\n   * @returns A `NamedTensorMap` mapping original weight names (i.e.,\n   *   non-uniqueified weight names) to their values.\n   */\n  protected getNamedWeights(config?: io.SaveConfig): NamedTensor[] {\n    const namedWeights: NamedTensor[] = [];\n\n    const trainableOnly = config != null && config.trainableOnly;\n    const weights = trainableOnly ? this.trainableWeights : this.weights;\n    const weightValues = this.getWeights(trainableOnly);\n    for (let i = 0; i < weights.length; ++i) {\n      if (trainableOnly && !weights[i].trainable) {\n        // Optionally skip non-trainable weights.\n        continue;\n      }\n      namedWeights.push(\n          {name: weights[i].originalName, tensor: weightValues[i]});\n    }\n    return namedWeights;\n  }\n\n  /**\n   * Setter used for force stopping of LayersModel.fit() (i.e., training).\n   *\n   * Example:\n   *\n   * ```js\n   * const input = tf.input({shape: [10]});\n   * const output = tf.layers.dense({units: 1}).apply(input);\n   * const model = tf.model({inputs: [input], outputs: [output]});\n   * model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});\n   * const xs = tf.ones([8, 10]);\n   * const ys = tf.zeros([8, 1]);\n   *\n   * const history = await model.fit(xs, ys, {\n   *   epochs: 10,\n   *   callbacks: {\n   *     onEpochEnd: async (epoch, logs) => {\n   *       if (epoch === 2) {\n   *         model.stopTraining = true;\n   *       }\n   *     }\n   *   }\n   * });\n   *\n   * // There should be only 3 values in the loss array, instead of 10\n   * values,\n   * // due to the stopping after 3 epochs.\n   * console.log(history.history.loss);\n   * ```\n   */\n  set stopTraining(stop: boolean) {\n    this.stopTraining_ = stop;\n  }\n\n  get stopTraining(): boolean {\n    return this.stopTraining_;\n  }\n\n  get optimizer(): Optimizer {\n    return this.optimizer_;\n  }\n\n  set optimizer(optimizer: Optimizer) {\n    if (this.optimizer_ !== optimizer) {\n      this.optimizer_ = optimizer;\n      this.isOptimizerOwned = false;\n    }\n  }\n\n  dispose(): DisposeResult {\n    const result = super.dispose();\n    if (result.refCountAfterDispose === 0 && this.optimizer != null &&\n        this.isOptimizerOwned) {\n      const numTensorsBeforeOptmizerDisposal = tfc.memory().numTensors;\n      this.optimizer_.dispose();\n      result.numDisposedVariables +=\n          numTensorsBeforeOptmizerDisposal - tfc.memory().numTensors;\n    }\n    return result;\n  }\n\n  private getLossIdentifiers(): LossIdentifier|LossIdentifier[]|\n      {[outputName: string]: LossIdentifier} {\n    let lossNames: LossIdentifier|LossIdentifier[]|\n        {[outputName: string]: LossIdentifier};\n    if (typeof this.loss === 'string') {\n      lossNames = toSnakeCase(this.loss) as LossIdentifier;\n    } else if (Array.isArray(this.loss)) {\n      for (const loss of this.loss) {\n        if (typeof loss !== 'string') {\n          throw new Error('Serialization of non-string loss is not supported.');\n        }\n      }\n      lossNames = (this.loss as string[]).map(name => toSnakeCase(name)) as\n          LossIdentifier[];\n    } else {\n      const outputNames = Object.keys(this.loss);\n      lossNames = {} as {[outputName: string]: LossIdentifier};\n      const losses =\n          this.loss as {[outputName: string]: LossOrMetricFn | string};\n      for (const outputName of outputNames) {\n        if (typeof losses[outputName] === 'string') {\n          lossNames[outputName] =\n              toSnakeCase(losses[outputName] as string) as LossIdentifier;\n        } else {\n          throw new Error('Serialization of non-string loss is not supported.');\n        }\n      }\n    }\n    return lossNames;\n  }\n\n  private getMetricIdentifiers(): MetricsIdentifier[]|\n      {[key: string]: MetricsIdentifier} {\n    if (typeof this.metrics === 'string' ||\n        typeof this.metrics === 'function') {\n      return [toSnakeCase(Metrics.getLossOrMetricName(this.metrics))];\n    } else if (Array.isArray(this.metrics)) {\n      return this.metrics.map(\n          metric => toSnakeCase(Metrics.getLossOrMetricName(metric)));\n    } else {\n      const metricsIdentifiers: {[key: string]: MetricsIdentifier} = {};\n      for (const key in this.metrics) {\n        metricsIdentifiers[key] =\n            toSnakeCase(Metrics.getLossOrMetricName(this.metrics[key]));\n      }\n      return metricsIdentifiers;\n    }\n  }\n\n  protected getTrainingConfig(): TrainingConfig {\n    return {\n      loss: this.getLossIdentifiers(),\n      metrics: this.getMetricIdentifiers(),\n      optimizer_config: {\n        class_name: this.optimizer.getClassName(),\n        config: this.optimizer.getConfig()\n      } as OptimizerSerialization\n    };\n    // TODO(cais): Add weight_metrics when they are supported.\n    // TODO(cais): Add sample_weight_mode when it's supported.\n    // TODO(cais): Add loss_weights when it's supported.\n  }\n\n  loadTrainingConfig(trainingConfig: TrainingConfig) {\n    if (trainingConfig.weighted_metrics != null) {\n      throw new Error('Loading weight_metrics is not supported yet.');\n    }\n    if (trainingConfig.loss_weights != null) {\n      throw new Error('Loading loss_weights is not supported yet.');\n    }\n    if (trainingConfig.sample_weight_mode != null) {\n      throw new Error('Loading sample_weight_mode is not supported yet.');\n    }\n\n    const tsConfig = convertPythonicToTs(trainingConfig.optimizer_config) as\n        serialization.ConfigDict;\n    const optimizer = deserialize(tsConfig) as Optimizer;\n\n    let loss;\n    if (typeof trainingConfig.loss === 'string') {\n      loss = toCamelCase(trainingConfig.loss);\n    } else if (Array.isArray(trainingConfig.loss)) {\n      loss = trainingConfig.loss.map(lossEntry => toCamelCase(lossEntry));\n    } else if (trainingConfig.loss != null) {\n      loss = {} as {[outputName: string]: LossIdentifier};\n      for (const key in trainingConfig.loss) {\n        loss[key] = toCamelCase(trainingConfig.loss[key]) as LossIdentifier;\n      }\n    }\n\n    let metrics;\n    if (Array.isArray(trainingConfig.metrics)) {\n      metrics = trainingConfig.metrics.map(metric => toCamelCase(metric));\n    } else if (trainingConfig.metrics != null) {\n      metrics = {} as {[outputName: string]: MetricsIdentifier};\n      for (const key in trainingConfig.metrics) {\n        metrics[key] = toCamelCase(trainingConfig.metrics[key]);\n      }\n    }\n\n    this.compile({loss, metrics, optimizer});\n  }\n\n  /**\n   * Save the configuration and/or weights of the LayersModel.\n   *\n   * An `IOHandler` is an object that has a `save` method of the proper\n   * signature defined. The `save` method manages the storing or\n   * transmission of serialized data (\"artifacts\") that represent the\n   * model's topology and weights onto or via a specific medium, such as\n   * file downloads, local storage, IndexedDB in the web browser and HTTP\n   * requests to a server. TensorFlow.js provides `IOHandler`\n   * implementations for a number of frequently used saving mediums, such as\n   * `tf.io.browserDownloads` and `tf.io.browserLocalStorage`. See `tf.io`\n   * for more details.\n   *\n   * This method also allows you to refer to certain types of `IOHandler`s\n   * as URL-like string shortcuts, such as 'localstorage://' and\n   * 'indexeddb://'.\n   *\n   * Example 1: Save `model`'s topology and weights to browser [local\n   * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n   * then load it back.\n   *\n   * ```js\n   * const model = tf.sequential(\n   *     {layers: [tf.layers.dense({units: 1, inputShape: [3]})]});\n   * console.log('Prediction from original model:');\n   * model.predict(tf.ones([1, 3])).print();\n   *\n   * const saveResults = await model.save('localstorage://my-model-1');\n   *\n   * const loadedModel = await tf.loadLayersModel('localstorage://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * loadedModel.predict(tf.ones([1, 3])).print();\n   * ```\n   *\n   * Example 2. Saving `model`'s topology and weights to browser\n   * [IndexedDB](https://developer.mozilla.org/en-US/docs/Web/API/IndexedDB_API);\n   * then load it back.\n   *\n   * ```js\n   * const model = tf.sequential(\n   *     {layers: [tf.layers.dense({units: 1, inputShape: [3]})]});\n   * console.log('Prediction from original model:');\n   * model.predict(tf.ones([1, 3])).print();\n   *\n   * const saveResults = await model.save('indexeddb://my-model-1');\n   *\n   * const loadedModel = await tf.loadLayersModel('indexeddb://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * loadedModel.predict(tf.ones([1, 3])).print();\n   * ```\n   *\n   * Example 3. Saving `model`'s topology and weights as two files\n   * (`my-model-1.json` and `my-model-1.weights.bin`) downloaded from\n   * browser.\n   *\n   * ```js\n   * const model = tf.sequential(\n   *     {layers: [tf.layers.dense({units: 1, inputShape: [3]})]});\n   * const saveResults = await model.save('downloads://my-model-1');\n   * ```\n   *\n   * Example 4. Send  `model`'s topology and weights to an HTTP server.\n   * See the documentation of `tf.io.http` for more details\n   * including specifying request parameters and implementation of the\n   * server.\n   *\n   * ```js\n   * const model = tf.sequential(\n   *     {layers: [tf.layers.dense({units: 1, inputShape: [3]})]});\n   * const saveResults = await model.save('http://my-server/model/upload');\n   * ```\n   *\n   * @param handlerOrURL An instance of `IOHandler` or a URL-like,\n   * scheme-based string shortcut for `IOHandler`.\n   * @param config Options for saving the model.\n   * @returns A `Promise` of `SaveResult`, which summarizes the result of\n   * the saving, such as byte sizes of the saved artifacts for the model's\n   *   topology and weight values.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async save(handlerOrURL: io.IOHandler|string, config?: io.SaveConfig):\n      Promise<io.SaveResult> {\n    if (typeof handlerOrURL === 'string') {\n      const handlers = io.getSaveHandlers(handlerOrURL);\n      if (handlers.length === 0) {\n        throw new ValueError(\n            `Cannot find any save handlers for URL '${handlerOrURL}'`);\n      } else if (handlers.length > 1) {\n        throw new ValueError(\n            `Found more than one (${handlers.length}) save handlers for ` +\n            `URL '${handlerOrURL}'`);\n      }\n      handlerOrURL = handlers[0];\n    }\n    if (handlerOrURL.save == null) {\n      throw new ValueError(\n          'LayersModel.save() cannot proceed because the IOHandler ' +\n          'provided does not have the `save` attribute defined.');\n    }\n\n    const weightDataAndSpecs =\n        await io.encodeWeights(this.getNamedWeights(config));\n\n    const returnString = false;\n    const unusedArg: {} = null;\n    const modelConfig = this.toJSON(unusedArg, returnString);\n    const modelArtifacts: io.ModelArtifacts = {\n      modelTopology: modelConfig,\n      format: LAYERS_MODEL_FORMAT_NAME,\n      generatedBy: `TensorFlow.js tfjs-layers v${version}`,\n      convertedBy: null,\n    };\n\n    const includeOptimizer = config == null ? false : config.includeOptimizer;\n    if (includeOptimizer && this.optimizer != null) {\n      modelArtifacts.trainingConfig = this.getTrainingConfig();\n      const weightType = 'optimizer';\n      const {data: optimizerWeightData, specs: optimizerWeightSpecs} =\n          await io.encodeWeights(await this.optimizer.getWeights(), weightType);\n      weightDataAndSpecs.specs.push(...optimizerWeightSpecs);\n      weightDataAndSpecs.data = io.concatenateArrayBuffers(\n          [weightDataAndSpecs.data, optimizerWeightData]);\n    }\n\n    if (this.userDefinedMetadata != null) {\n      // Check serialized size of user-defined metadata.\n      const checkSize = true;\n      checkUserDefinedMetadata(this.userDefinedMetadata, this.name, checkSize);\n      modelArtifacts.userDefinedMetadata = this.userDefinedMetadata;\n    }\n\n    modelArtifacts.weightData = weightDataAndSpecs.data;\n    modelArtifacts.weightSpecs = weightDataAndSpecs.specs;\n    return handlerOrURL.save(modelArtifacts);\n  }\n\n  /**\n   * Set user-defined metadata.\n   *\n   * The set metadata will be serialized together with the topology\n   * and weights of the model during `save()` calls.\n   *\n   * @param setUserDefinedMetadata\n   */\n  setUserDefinedMetadata(userDefinedMetadata: {}): void {\n    checkUserDefinedMetadata(userDefinedMetadata, this.name);\n    this.userDefinedMetadata = userDefinedMetadata;\n  }\n\n  /**\n   * Get user-defined metadata.\n   *\n   * The metadata is supplied via one of the two routes:\n   *   1. By calling `setUserDefinedMetadata()`.\n   *   2. Loaded during model loading (if the model is constructed\n   *      via `tf.loadLayersModel()`.)\n   *\n   * If no user-defined metadata is available from either of the\n   * two routes, this function will return `undefined`.\n   */\n  getUserDefinedMetadata(): {} {\n    return this.userDefinedMetadata;\n  }\n}\nserialization.registerClass(LayersModel);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* Original source keras/models.py */\n\nimport {dispose, io, NamedTensorMap, Optimizer, Scalar, serialization, Tensor, util} from '@tensorflow/tfjs-core';\n\nimport {getUid} from './backend/state';\nimport {History} from './base_callbacks';\nimport {Dataset} from './engine/dataset_stub';\nimport {Input} from './engine/input_layer';\nimport {getSourceInputs, Layer, Node, SymbolicTensor} from './engine/topology';\nimport {LayersModel, ModelCompileArgs, ModelEvaluateArgs} from './engine/training';\nimport {ModelEvaluateDatasetArgs, ModelFitDatasetArgs} from './engine/training_dataset';\nimport {ModelFitArgs} from './engine/training_tensors';\nimport {NotImplementedError, RuntimeError, ValueError} from './errors';\nimport {Shape} from './keras_format/common';\nimport {TrainingConfig} from './keras_format/training_config';\nimport {PyJsonDict} from './keras_format/types';\nimport {deserialize} from './layers/serialization';\nimport {Kwargs, NamedTensor} from './types';\nimport * as generic_utils from './utils/generic_utils';\nimport {convertPythonicToTs} from './utils/serialization_utils';\nimport {getExactlyOneShape} from './utils/types_utils';\n\n/**\n * Parses a JSON model configuration file and returns a model instance.\n *\n * ```js\n * // This example shows how to serialize a model using `toJSON()` and\n * // deserialize it as another model using `tf.models.modelFromJSON()`.\n * // Note: this example serializes and deserializes only the topology\n * // of the model; the weights of the loaded model will be different\n * // from those of the the original model, due to random weight\n * // initialization.\n * // To load the topology and weights of a model, use `tf.loadLayersModel()`.\n * const model1 = tf.sequential();\n * model1.add(tf.layers.repeatVector({inputShape: [2], n: 4}));\n * // Serialize `model1` as a JSON object.\n * const model1JSON = model1.toJSON(null, false);\n * model1.summary();\n *\n * const model2 = await tf.models.modelFromJSON(model1JSON);\n * model2.summary();\n * ```\n *\n *  @param modelAndWeightsConfig JSON object or string encoding a model and\n *       weights configuration. It can also be only the topology JSON of the\n *       model, in which case the weights will not be loaded.\n *  @param custom_objects Optional dictionary mapping names\n *       (strings) to custom classes or functions to be\n *       considered during deserialization.\n * @returns A TensorFlow.js Layers `tf.LayersModel` instance (uncompiled).\n */\nexport async function modelFromJSON(\n    modelAndWeightsConfig: ModelAndWeightsConfig|PyJsonDict,\n    customObjects?: serialization.ConfigDict): Promise<LayersModel> {\n  if (!('modelTopology' in modelAndWeightsConfig)) {\n    modelAndWeightsConfig = {modelTopology: modelAndWeightsConfig};\n  }\n  modelAndWeightsConfig = modelAndWeightsConfig as ModelAndWeightsConfig;\n\n  let modelTopology = modelAndWeightsConfig.modelTopology;\n  if (modelTopology['model_config'] != null) {\n    // If the model-topology JSON contains a 'model_config' field, then it is\n    // a full model JSON (e.g., from `keras.Model.save()`), which contains\n    // not only the model's architecture in its 'model_config' field, but\n    // additional information such as the model's optimizer. We use only the\n    // 'model_config' field currently.\n    modelTopology = modelTopology['model_config'] as PyJsonDict;\n  }\n  const tsConfig =\n      convertPythonicToTs(modelTopology) as serialization.ConfigDict;\n  const model = deserialize(tsConfig, customObjects) as LayersModel;\n\n  if (modelAndWeightsConfig.weightsManifest != null) {\n    // Load the weight values keyed by the original tensor names in the model\n    // file that was loaded.  These should match the keys of the weight\n    // manifest.\n    const weightValues = await io.loadWeights(\n        modelAndWeightsConfig.weightsManifest, modelAndWeightsConfig.pathPrefix,\n        model.weights.map(weight => weight.originalName));\n\n    // Map the weights to the unique tensor names generated during model loading\n    const uniqueWeightValues: NamedTensorMap = {};\n    for (const weight of model.weights) {\n      uniqueWeightValues[weight.originalName] =\n          weightValues[weight.originalName];\n    }\n\n    model.loadWeights(uniqueWeightValues);\n    // Dispose temporary weight values.\n    dispose(weightValues);\n  }\n  return model;\n}\n\n/**\n * Options for loading a saved mode in TensorFlow.js format.\n */\nexport interface ModelAndWeightsConfig {\n  /**\n   * A JSON object or JSON string containing the model config.\n   *\n   * This can be either of the following two formats:\n   *   - A model archiecture-only config,  i.e., a format consistent with the\n   *     return value of`keras.Model.to_json()`.\n   *   - A full model config, containing not only model architecture, but also\n   *     training options and state, i.e., a format consistent with the return\n   *     value of `keras.models.save_model()`.\n   */\n  modelTopology: PyJsonDict;\n\n  /**\n   * A weights manifest in TensorFlow.js format.\n   */\n  weightsManifest?: io.WeightsManifestConfig;\n\n  /**\n   * Path to prepend to the paths in `weightManifest` before fetching.\n   *\n   * The path may optionally end in a slash ('/').\n   */\n  pathPrefix?: string;\n}\n\n// TODO(nielsene): Remove after: https://github.com/tensorflow/tfjs/issues/400\nexport interface ModelPredictArgs {\n  /**\n   * Optional. Batch size (Integer). If unspecified, it will default to 32.\n   */\n  batchSize?: number;\n\n  /**\n   * Optional. Verbosity mode. Defaults to false.\n   */\n  verbose?: boolean;\n}\n\n/**\n * Load a model, including its topology and optionally weights.  See the\n * Tutorial named \"How to import a Keras Model\" for usage examples.\n *\n * Example 1: Save `model`'s topology and weights to browser [local\n * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n * then load it back.\n *\n * ```js\n * const model = tf.sequential(\n *     {layers: [tf.layers.dense({units: 1, inputShape: [3]})]});\n * console.log('Prediction from original model:');\n * model.predict(tf.ones([1, 3])).print();\n *\n * const saveResults = await model.save('localstorage://my-model-1');\n *\n * const loadedModel = await tf.loadLayersModel('localstorage://my-model-1');\n * console.log('Prediction from loaded model:');\n * loadedModel.predict(tf.ones([1, 3])).print();\n * ```\n *\n * Example 2. Saving `model`'s topology and weights to browser\n * [IndexedDB](https://developer.mozilla.org/en-US/docs/Web/API/IndexedDB_API);\n * then load it back.\n *\n * ```js\n * const model = tf.sequential(\n *     {layers: [tf.layers.dense({units: 1, inputShape: [3]})]});\n * console.log('Prediction from original model:');\n * model.predict(tf.ones([1, 3])).print();\n *\n * const saveResults = await model.save('indexeddb://my-model-1');\n *\n * const loadedModel = await tf.loadLayersModel('indexeddb://my-model-1');\n * console.log('Prediction from loaded model:');\n * loadedModel.predict(tf.ones([1, 3])).print();\n * ```\n *\n * Example 3. Load a model from user-selected files from HTML\n * [file input\n * elements](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/input/file).\n *\n * ```js\n * // Note: this code snippet will not work without the HTML elements in the\n * //   page\n * const jsonUpload = document.getElementById('json-upload');\n * const weightsUpload = document.getElementById('weights-upload');\n *\n * const model = await tf.loadLayersModel(\n *     tf.io.browserFiles([jsonUpload.files[0], weightsUpload.files[0]]));\n * ```\n *\n * Example 4. Load a model from an HTTP server.\n *\n * ```js\n * const model = await\n *     tf.loadLayersModel('https://storage.googleapis.com/tfjs-models/tfjs/iris_v1/model.json');\n * model.summary();\n * ```\n *\n * @param pathOrIOHandler Can be either of the two formats\n *   1. A string path to the `ModelAndWeightsConfig` JSON describing\n *      the model in the canonical TensorFlow.js format. This path will be\n *      interpreted as a relative HTTP path, to which `fetch` will be used to\n *      request the model topology and weight manifest JSON.\n *      The content of the JSON file is assumed to be a JSON object with the\n *      following fields and values:\n *      - 'modelTopology': A JSON object that can be either of:\n *        1. a model architecture JSON consistent with the format of the return\n *            value of `keras.Model.to_json()`\n *        2. a full model JSON in the format of `keras.models.save_model()`.\n *      - 'weightsManifest': A TensorFlow.js weights manifest.\n *      See the Python converter function `save_model()` for more details.\n *      It is also assumed that model weights can be accessed from relative\n *      paths described by the `paths` fields in weights manifest.\n *   2. An `tf.io.IOHandler` object that loads model artifacts with its `load`\n *      method.\n * @param options Optional configuration arguments for the model loading,\n *   including:\n *   - `strict`: Require that the provided weights exactly match those required\n *     by the layers.  Default true.  Passing false means that both extra\n *     weights and missing weights will be silently ignored.\n *   - `onProgress`: A progress callback of the form:\n *     `(fraction: number) => void`. This callback can be used to monitor the\n *     model-loading process.\n * @returns A `Promise` of `tf.LayersModel`, with the topology and weights\n *     loaded.\n */\nexport async function loadLayersModelInternal(\n    pathOrIOHandler: string|io.IOHandler,\n    options?: io.LoadOptions): Promise<LayersModel> {\n  if (options == null) {\n    options = {};\n  }\n  if (typeof pathOrIOHandler === 'string') {\n    const handlers = io.getLoadHandlers(pathOrIOHandler, options.onProgress);\n    if (handlers.length === 0) {\n      // For backward compatibility: if no load handler can be found,\n      // assume it is a relative http path.\n      // TODO(cais): Reformat the args into a single `LoadOptions` once the core\n      // is refactored.\n      handlers.push(io.browserHTTPRequest(pathOrIOHandler, options));\n    } else if (handlers.length > 1) {\n      throw new ValueError(\n          `Found more than one (${handlers.length}) load handlers for ` +\n          `URL '${pathOrIOHandler}'`);\n    }\n    pathOrIOHandler = handlers[0];\n  }\n  return loadLayersModelFromIOHandler(pathOrIOHandler, undefined, options);\n}\n\n/**\n * Load a model and optionally its weights, using an IOHandler object.\n *\n * @param handler The instance of `IOHandler` to be used during the model\n *   loading.\n * @param customObjects Any optional custom objects to be used during model\n *   loading.\n * @param strict Whether the weight loading will be done in strict mode.\n *   Default: `true`.\n */\nexport async function loadLayersModelFromIOHandler(\n    handler: io.IOHandler, customObjects?: serialization.ConfigDict,\n    options?: io.LoadOptions): Promise<LayersModel> {\n  if (options == null) {\n    options = {};\n  }\n  if (handler.load == null) {\n    throw new ValueError(\n        'Cannot proceed with model loading because the IOHandler provided ' +\n        'does not have the `load` method implemented.');\n  }\n  const artifacts = await handler.load();\n  let modelTopology = artifacts.modelTopology as PyJsonDict;\n  if (modelTopology['model_config'] != null) {\n    modelTopology = modelTopology['model_config'] as PyJsonDict;\n  }\n\n  const strict = options.strict == null ? true : options.strict;\n  // If weights are provided and the weight-loading mode is strict, use\n  // fast weight initialization. This skips costly initializers such as\n  // 'orthogonal' and saves unnecessary computation in cases where\n  // the initialized weight values will immediately be overwritten by\n  // loaded weight values.\n  const fastWeightInit =\n      artifacts.weightData != null && artifacts.weightSpecs != null && strict;\n  const model =\n      deserialize(\n          convertPythonicToTs(modelTopology) as serialization.ConfigDict,\n          customObjects, fastWeightInit) as LayersModel;\n\n  const trainingConfig = artifacts.trainingConfig as TrainingConfig;\n  if (trainingConfig != null) {\n    model.loadTrainingConfig(trainingConfig);\n  }\n  if (artifacts.userDefinedMetadata != null) {\n    model.setUserDefinedMetadata(artifacts.userDefinedMetadata);\n  }\n\n  // If weightData is present, load the weights into the model.\n  if (artifacts.weightData != null) {\n    // Loading weights requires weightSpecs.\n    if (artifacts.weightSpecs == null) {\n      throw new ValueError(\n          'LayersModel artifacts contains weight data, but not weight specs. ' +\n          'Therefore loading of weights cannot proceed.');\n    }\n\n    const {modelWeights, optimizerWeights} = decodeModelAndOptimizerWeights(\n        artifacts.weightData, artifacts.weightSpecs);\n    model.loadWeights(modelWeights, strict);\n\n    if (model.optimizer != null && optimizerWeights.length > 0) {\n      await model.optimizer.setWeights(optimizerWeights);\n    }\n\n    // Dispose temporary weight values.\n    dispose(modelWeights);\n    dispose(optimizerWeights.map(w => w.tensor));\n  }\n  return model;\n}\n\nfunction decodeModelAndOptimizerWeights(\n    buffer: ArrayBuffer, specs: io.WeightsManifestEntry[]):\n    {modelWeights: NamedTensorMap, optimizerWeights: NamedTensor[]} {\n  const name2Tensor = io.decodeWeights(buffer, specs);\n  const modelWeights: NamedTensorMap = {};\n  const optimizerWeights: NamedTensor[] = [];\n  specs.forEach(spec => {\n    if (spec.group === 'optimizer') {\n      optimizerWeights.push({name: spec.name, tensor: name2Tensor[spec.name]});\n    } else {\n      modelWeights[spec.name] = name2Tensor[spec.name];\n    }\n  });\n  return {modelWeights, optimizerWeights};\n}\n\n/**\n * Configuration for a Sequential model.\n */\nexport interface SequentialArgs {\n  /** Stack of layers for the model. */\n  layers?: Layer[];\n\n  /** The name of this model. */\n  name?: string;\n}\n\n/**\n * A model with a stack of layers, feeding linearly from one to the next.\n *\n * `tf.sequential` is a factory function that creates an instance of\n * `tf.Sequential`.\n *\n * ```js\n *  // Define a model for linear regression.\n *  const model = tf.sequential();\n *  model.add(tf.layers.dense({units: 1, inputShape: [1]}));\n *\n *  // Prepare the model for training: Specify the loss and the optimizer.\n *  model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});\n *\n *  // Generate some synthetic data for training.\n *  const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);\n *  const ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);\n *\n *  // Train the model using the data then do inference on a data point the\n *  // model hasn't seen:\n *  await model.fit(xs, ys);\n *  model.predict(tf.tensor2d([5], [1, 1])).print();\n * ```\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class Sequential extends LayersModel {\n  /** @nocollapse */\n  static className = 'Sequential';\n  private model: LayersModel;\n  constructor(args?: SequentialArgs) {\n    super({inputs: [], outputs: []});\n    args = args || {};\n\n    this.trainable = true;\n    this.built = false;\n\n    // Set model name.\n    this.name = (args.name != null) ? args.name : getUid('sequential_');\n\n    // Add to the model any layers passed to the constructor.\n    if (args.layers != null) {\n      for (const layer of args.layers) {\n        this.add(layer);\n      }\n    }\n  }\n\n  // Helper function to Sequential.add  Throws if the new output shape will be\n  // invalid.\n  private checkShape(layer: Layer) {\n    const shape = layer.inboundNodes[0].outputTensors[0].shape;\n    if (shape.some(x => x < 0)) {\n      throw new ValueError(\n          'Negative dimension size caused by adding layer ' +\n          `${layer.name} with input shape [` +\n          `${layer.inboundNodes[0].inputTensors[0].shape}]`);\n    }\n  }\n\n  /**\n   * Adds a layer instance on top of the layer stack.\n   *\n   * ```js\n   *  const model = tf.sequential();\n   *  model.add(tf.layers.dense({units: 8, inputShape: [1]}));\n   *  model.add(tf.layers.dense({units: 4, activation: 'relu6'}));\n   *  model.add(tf.layers.dense({units: 1, activation: 'relu6'}));\n   *  // Note that the untrained model is random at this point.\n   *  model.predict(tf.randomNormal([10, 1])).print();\n   * ```\n   * @param layer Layer instance.\n   *\n   * @exception ValueError In case the `layer` argument does not know its\n   * input shape.\n   * @exception ValueError In case the `layer` argument has multiple output\n   *   tensors, or is already connected somewhere else (forbidden in\n   *   `Sequential` models).\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  add(layer: Layer): void {\n    const isLayerModelInstance =\n        layer instanceof Sequential || layer instanceof LayersModel;\n    let modelLayer: LayersModel;\n    if (isLayerModelInstance) {\n      modelLayer = layer as LayersModel;\n      if (modelLayer.outputs.length !== 1) {\n        throw new ValueError(\n            'All layers in a Sequential model ' +\n            'should have a single output tensor. ' +\n            'For multi-output layers, ' +\n            'use the functional API.');\n      }\n      if (modelLayer.inputs.length !== 1) {\n        throw new ValueError(\n            'All layers in a Sequential model ' +\n            'should have a single input tensor. ' +\n            'For multi-input layers, ' +\n            'use the functional API.');\n      }\n    }\n\n    if (this.outputs.length === 0) {\n      // first layer in model: check that it is an input layer\n      if (layer.inboundNodes.length === 0) {\n        // create an input layer\n        if (layer.batchInputShape == null) {\n          throw new ValueError(\n              'The first layer in a Sequential model must ' +\n              'get an `inputShape` or `batchInputShape` argument.');\n        }\n        // Instantiate the input layer.\n        const x = Input({\n          batchShape: layer.batchInputShape,\n          dtype: layer.dtype,\n          name: layer.name + '_input'\n        });\n        // This will build the current layer and create the node connecting\n        // the current layer to the input layer we just created.\n        layer.apply(x);\n      }\n\n      if (isLayerModelInstance) {\n        this.outputs = modelLayer.outputs;\n        this.inputs = modelLayer.inputs;\n      } else {\n        if (layer.inboundNodes.length !== 1) {\n          throw new ValueError(\n              'A layer added to a Sequential model must not already be ' +\n              `connected somewhere else. LayersModel received layer ${\n                  layer.name} ` +\n              `which has ${layer.inboundNodes.length} pre-existing inbound ` +\n              'connections.');\n        }\n\n        if (layer.inboundNodes[0].outputTensors.length !== 1) {\n          throw new ValueError(\n              'All layers in a Sequential model ' +\n              'should have a single output tensor. ' +\n              'For multi-output layers, ' +\n              'use the functional API.');\n        }\n        this.checkShape(layer);\n        this.outputs = [layer.inboundNodes[0].outputTensors[0]];\n        this.inputs = getSourceInputs(this.outputs[0]);\n      }\n\n      this.inboundNodes = [];\n      // We create an input node, which we will keep updated\n      // as we add more layers.\n      // (This call has side effects.)\n      // tslint:disable-next-line:no-unused-expression\n      new Node({\n        outboundLayer: this,\n        inboundLayers: [],\n        nodeIndices: [],\n        tensorIndices: [],\n        inputTensors: this.inputs,\n        outputTensors: this.outputs,\n        // no model-level masking for now\n        inputMasks: generic_utils.pyListRepeat(null, this.inputs.length),\n        outputMasks: [null],\n        inputShapes: this.inputs.map(x => x.shape),\n        outputShapes: this.outputs[0].shape\n      });\n    } else {\n      const outputTensor = layer.apply(this.outputs[0]);\n      if (Array.isArray(outputTensor)) {\n        throw new TypeError(\n            'All layers in a Sequential model ' +\n            'should have a single output tensor. ' +\n            'For multi-output layers, ' +\n            'use the functional API.');\n      }\n      this.checkShape(layer);\n      this.outputs = [outputTensor as SymbolicTensor];\n      // update self.inbound_nodes\n      this.inboundNodes[0].outputTensors = this.outputs;\n      this.inboundNodes[0].outputShapes = [this.outputs[0].shape];\n    }\n\n    this.layers.push(layer);\n    this.built = false;\n  }\n\n  /**\n   * Removes the last layer in the model.\n   *\n   * @exception TypeError if there are no layers in the model.\n   */\n  pop(): void {\n    if (this.layers.length === 0) {\n      throw new TypeError('There are no layers in the model.');\n    }\n\n    this.layers.pop();\n    if (this.layers.length === 0) {\n      this.outputs = [];\n      this.inboundNodes = [];\n      this.outboundNodes = [];\n    } else {\n      const lastLayerIndex = this.layers.length - 1;\n      this.layers[lastLayerIndex].outboundNodes = [];\n      this.outputs = [this.layers[lastLayerIndex].output as SymbolicTensor];\n      // update self.inbound_nodes\n      this.inboundNodes[0].outputTensors = this.outputs;\n      this.inboundNodes[0].outputShapes = [this.outputs[0].shape];\n    }\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    if (this.model == null) {\n      this.build();\n    }\n    return this.model.call(inputs, kwargs);\n  }\n\n  build(inputShape?: Shape|Shape[]) {\n    // Call `getExactlyOneShape` without using its return value,\n    // to verify that exactly one input shape is provided.\n    getExactlyOneShape(inputShape);\n\n    if (this.inputs.length === 0 || this.outputs.length === 0) {\n      throw new TypeError(\n          'Sequential model cannot be built: model is empty.' +\n          ' Add some layers first.');\n    }\n    // actually create the model\n    this.model = new LayersModel({\n      inputs: this.inputs,\n      outputs: this.outputs[0],\n      name: this.name + '_model'\n    });\n    this.model.trainable = this.trainable;\n\n    // mirror model attributes\n    this.supportsMasking = this.model.supportsMasking;\n    // TODO(michaelterry): Add caches\n    this.inputLayers = this.model.inputLayers;\n    this.inputLayersNodeIndices = this.model.inputLayersNodeIndices;\n    this.inputLayersTensorIndices = this.model.inputLayersTensorIndices;\n    this.outputLayers = this.model.outputLayers;\n    this.outputLayersNodeIndices = this.model.outputLayersNodeIndices;\n    this.outputLayersTensorIndices = this.model.outputLayersTensorIndices;\n    this.nodesByDepth = this.model.nodesByDepth;\n    this.containerNodes = this.model.containerNodes;\n    this.outputNames = this.model.outputNames;\n    this.inputNames = this.model.inputNames;\n    // TODO(michaelterry): Add feedInputNames, feedInputs, if needed.\n    // TODO(michaelterry): Add callbackModel if needed.\n    this.built = true;\n  }\n\n  countParams(): number {\n    if (!this.built) {\n      this.build();\n    }\n    return super.countParams();\n  }\n\n  /**\n   * Print a text summary of the Sequential model's layers.\n   *\n   * The summary includes\n   * - Name and type of all layers that comprise the model.\n   * - Output shape(s) of the layers\n   * - Number of weight parameters of each layer\n   * - The total number of trainable and non-trainable parameters of the\n   * model.\n   *\n   * ```js\n   * const model = tf.sequential();\n   * model.add(\n   *     tf.layers.dense({units: 100, inputShape: [10], activation: 'relu'}));\n   * model.add(tf.layers.dense({units: 1, activation: 'sigmoid'}));\n   *\n   * model.summary();\n   * ```\n   *\n   * @param lineLength Custom line length, in number of characters.\n   * @param positions Custom widths of each of the columns, as either\n   *   fractions of `lineLength` (e.g., `[0.5, 0.75, 1]`) or absolute number\n   *   of characters (e.g., `[30, 50, 65]`). Each number corresponds to\n   *   right-most (i.e., ending) position of a column.\n   * @param printFn Custom print function. Can be used to replace the default\n   *   `console.log`. For example, you can use `x => {}` to mute the printed\n   *   messages in the console.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  summary(\n      lineLength?: number, positions?: number[],\n      printFn:\n          // tslint:disable-next-line:no-any\n      (message?: any, ...optionalParams: any[]) => void = console.log) {\n    if (!this.built) {\n      this.build();\n    }\n    super.summary(lineLength, positions, printFn);\n  }\n\n  /**\n   * Sets the weights of the model.\n   *\n   * @param weights Should be a list of Tensors with shapes and types matching\n   *   the output of `model.getWeights()`.\n   */\n  setWeights(weights: Tensor[]): void {\n    if (this.model == null) {\n      this.build();\n    }\n    this.model.setWeights(weights);\n  }\n\n  /**\n   * Returns the loss value & metrics values for the model in test mode.\n   *\n   * Loss and metrics are specified during `compile()`, which needs to happen\n   * before calls to `evaluate()`.\n   *\n   * Computation is done in batches.\n   *\n   * ```js\n   * const model = tf.sequential({\n   *   layers: [tf.layers.dense({units: 1, inputShape: [10]})]\n   * });\n   * model.compile({optimizer: 'sgd', loss: 'meanSquaredError'});\n   * const result = model.evaluate(tf.ones([8, 10]), tf.ones([8, 1]), {\n   *   batchSize: 4,\n   * });\n   * result.print();\n   * ```\n   *\n   * @param x `tf.Tensor` of test data, or an `Array` of `tf.Tensor`s if the\n   * model has multiple inputs.\n   * @param y `tf.Tensor` of target data, or an `Array` of `tf.Tensor`s if the\n   * model has multiple outputs.\n   * @param args A `ModelEvaluateConfig`, containing optional fields.\n   *\n   * @return `Scalar` test loss (if the model has a single output and no\n   *   metrics) or `Array` of `Scalar`s (if the model has multiple outputs\n   *   and/or metrics). The attribute `model.metricsNames`\n   *   will give you the display labels for the scalar outputs.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  evaluate(\n      x: Tensor|Tensor[], y: Tensor|Tensor[],\n      args: ModelEvaluateArgs = {}): Scalar|Scalar[] {\n    if (!this.built) {\n      throw new RuntimeError(\n          'The model needs to be compiled before being used.');\n    }\n    return this.model.evaluate(x, y, args);\n  }\n\n  // TODO(cais): Add code snippet below once real dataset objects are\n  //   available.\n  /**\n   * Evaluate model using a dataset object.\n   *\n   * Note: Unlike `evaluate()`, this method is asynchronous (`async`);\n   *\n   * @param dataset A dataset object. Its `iterator()` method is expected\n   *   to generate a dataset iterator object, the `next()` method of which\n   *   is expected to produce data batches for evaluation. The return value\n   *   of the `next()` call ought to contain a boolean `done` field and a\n   *   `value` field. The `value` field is expected to be an array of two\n   *   `tf.Tensor`s or an array of two nested `tf.Tensor` structures. The former\n   *   case is for models with exactly one input and one output (e.g..\n   *   a sequential model). The latter case is for models with multiple\n   *   inputs and/or multiple outputs. Of the two items in the array, the\n   *   first is the input feature(s) and the second is the output target(s).\n   * @param args A configuration object for the dataset-based evaluation.\n   * @returns Loss and metric values as an Array of `Scalar` objects.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  async evaluateDataset(dataset: Dataset<{}>, args: ModelEvaluateDatasetArgs):\n      Promise<Scalar|Scalar[]> {\n    if (!this.built) {\n      throw new RuntimeError(\n          'The model needs to be compiled before being used.');\n    }\n    return this.model.evaluateDataset(dataset, args);\n  }\n\n  /**\n   * Generates output predictions for the input samples.\n   *\n   * Computation is done in batches.\n   *\n   * Note: the \"step\" mode of predict() is currently not supported.\n   *   This is because the TensorFow.js core backend is imperative only.\n   *\n   * ```js\n   * const model = tf.sequential({\n   *   layers: [tf.layers.dense({units: 1, inputShape: [10]})]\n   * });\n   * model.predict(tf.ones([2, 10])).print();\n   * ```\n   *\n   * @param x The input data, as an Tensor, or an `Array` of `tf.Tensor`s if\n   *   the model has multiple inputs.\n   * @param conifg A `ModelPredictConfig` object containing optional fields.\n   *\n   * @return `tf.Tensor`(s) of predictions.\n   *\n   * @exception ValueError In case of mismatch between the provided input data\n   *   and the model's expectations, or in case a stateful model receives a\n   *   number of samples that is not a multiple of the batch size.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  predict(x: Tensor|Tensor[], args: ModelPredictArgs = {}): Tensor|Tensor[] {\n    if (this.model == null) {\n      this.build();\n    }\n    return this.model.predict(x, args);\n  }\n\n  /**\n   * Returns predictions for a single batch of samples.\n   *\n   * @param x: Input samples, as an Tensor, or list of Tensors (if the model\n   *   has multiple inputs).\n   * @return Tensor(s) of predictions\n   */\n  predictOnBatch(x: Tensor): Tensor|Tensor[] {\n    if (this.model == null) {\n      this.build();\n    }\n    return this.model.predictOnBatch(x);\n  }\n\n  /**\n   * See `LayersModel.compile`.\n   *\n   * @param args\n   */\n  compile(args: ModelCompileArgs): void {\n    this.build();\n    this.model.compile(args);\n    this.optimizer_ = this.model.optimizer;\n    // tslint:disable-next-line:no-any\n    this.isOptimizerOwned = (this.model as any).isOptimizerOwned;\n    this.loss = this.model.loss;\n    this.metrics = this.model.metrics;\n    // TODO(cais): Add this.lossWeights, this.sampleWeightMode,\n    //   this.weightedMetrics, this.targets.\n    this.metricsTensors = this.model.metricsTensors;\n    this.metricsNames = this.model.metricsNames;\n    // TODO(cais): Add sampleWeights.\n  }\n\n  get optimizer(): Optimizer {\n    return this.model == null ? undefined : this.model.optimizer;\n  }\n\n  set optimizer(optimizer: Optimizer) {\n    this.model.optimizer = optimizer;\n  }\n\n  /**\n   * Trains the model for a fixed number of epochs (iterations on a dataset).\n   *\n   * ```js\n   * const model = tf.sequential({\n   *   layers: [tf.layers.dense({units: 1, inputShape: [10]})]\n   * });\n   * model.compile({optimizer: 'sgd', loss: 'meanSquaredError'});\n   * const history = await model.fit(tf.ones([8, 10]), tf.ones([8, 1]), {\n   *   batchSize: 4,\n   *   epochs: 3\n   * });\n   * console.log(history.history.loss[0]);\n   * ```\n   *\n   * @param x `tf.Tensor` of training data, or an array of `tf.Tensor`s if the\n   * model has multiple inputs. If all inputs in the model are named, you can\n   * also pass a dictionary mapping input names to `tf.Tensor`s.\n   * @param y `tf.Tensor` of target (label) data, or an array of `tf.Tensor`s if\n   * the model has multiple outputs. If all outputs in the model are named, you\n   *  can also pass a dictionary mapping output names to `tf.Tensor`s.\n   * @param args  A `ModelFitConfig`, containing optional fields.\n   *\n   * @return A `History` instance. Its `history` attribute contains all\n   *   information collected during training.\n   *\n   * @exception ValueError In case of mismatch between the provided input data\n   *   and what the model expects.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  async fit(\n      x: Tensor|Tensor[]|{[inputName: string]: Tensor},\n      y: Tensor|Tensor[]|{[inputName: string]: Tensor},\n      args: ModelFitArgs = {}): Promise<History> {\n    if (!this.built) {\n      throw new RuntimeError(\n          'The model needs to be compiled before ' +\n          'being used.');\n    }\n    return this.model.fit(x, y, args);\n  }\n\n  /**\n   * Trains the model using a dataset object.\n   *\n   * ```js\n   * const xArray = [\n   *   [1, 1, 1, 1, 1, 1, 1, 1, 1],\n   *   [1, 1, 1, 1, 1, 1, 1, 1, 1],\n   *   [1, 1, 1, 1, 1, 1, 1, 1, 1],\n   *   [1, 1, 1, 1, 1, 1, 1, 1, 1],\n   * ];\n   * const yArray = [1, 1, 1, 1];\n   * // Create a dataset from the JavaScript array.\n   * const xDataset = tf.data.array(xArray);\n   * const yDataset = tf.data.array(yArray);\n   * // Zip combines the `x` and `y` Datasets into a single Dataset, the\n   * // iterator of which will return an object containing of two tensors,\n   * // corresponding to `x` and `y`.  The call to `batch(4)` will bundle\n   * // four such samples into a single object, with the same keys now pointing\n   * // to tensors that hold 4 examples, organized along the batch dimension.\n   * // The call to `shuffle(4)` causes each iteration through the dataset to\n   * // happen in a different order.  The size of the shuffle window is 4.\n   * const xyDataset = tf.data.zip({xs: xDataset, ys: yDataset})\n   *     .batch(4)\n   *     .shuffle(4);\n   * const model = tf.sequential({\n   *   layers: [tf.layers.dense({units: 1, inputShape: [9]})]\n   * });\n   * model.compile({optimizer: 'sgd', loss: 'meanSquaredError'});\n   * const history = await model.fitDataset(xyDataset, {\n   *   epochs: 4,\n   *   callbacks: {onEpochEnd: (epoch, logs) => console.log(logs.loss)}\n   * });\n   * ```\n   *\n   * @param dataset A dataset object. Its `iterator()` method is expected to\n   *   generate a dataset iterator object, the `next()` method of which is\n   *   expected to produce data batches for evaluation. The return value of the\n   *   `next()` call ought to contain a boolean `done` field and a `value`\n   *   field.\n   *\n   *   The `value` field is expected to be an object of with fields\n   *   `xs` and `ys`, which point to the feature tensor and the target tensor,\n   *   respectively. This case is for models with exactly one input and one\n   *   output (e.g.. a sequential model). For example:\n   *   ```js\n   *   {value: {xs: xsTensor, ys: ysTensor}, done: false}\n   *   ```\n   *\n   *   If the model has multiple inputs, the `xs` field of `value` should\n   *   be an object mapping input names to their respective feature tensors.\n   *   For example:\n   *   ```js\n   *   {\n   *     value: {\n   *       xs: {\n   *         input_1: xsTensor1,\n   *         input_2: xsTensor2\n   *       },\n   *       ys: ysTensor\n   *     },\n   *     done: false\n   *   }\n   *   ```\n   *   If the model has multiple outputs, the `ys` field of `value` should\n   *   be an object mapping output names to their respective target tensors.\n   *   For example:\n   *   ```js\n   *   {\n   *     value: {\n   *       xs: xsTensor,\n   *       ys: {\n   *         output_1: ysTensor1,\n   *         output_2: ysTensor2\n   *       },\n   *     },\n   *     done: false\n   *   }\n   *   ```\n   * @param args A `ModelFitDatasetArgs`, containing optional fields.\n   *\n   * @return A `History` instance. Its `history` attribute contains all\n   *   information collected during training.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async fitDataset<T>(dataset: Dataset<T>, args: ModelFitDatasetArgs<T>):\n      Promise<History> {\n    if (!this.built) {\n      throw new RuntimeError(\n          'The model needs to be compiled before ' +\n          'being used.');\n    }\n    return this.model.fitDataset(dataset, args);\n  }\n\n  /**\n   * Runs a single gradient update on a single batch of data.\n   *\n   * This method differs from `fit()` and `fitDataset()` in the following\n   * regards:\n   *   - It operates on exactly one batch of data.\n   *   - It returns only the loss and matric values, instead of\n   *     returning the batch-by-batch loss and metric values.\n   *   - It doesn't support fine-grained options such as verbosity and\n   *     callbacks.\n   *\n   * @param x Input data. It could be one of the following:\n   *   - A `tf.Tensor`, or an Array of `tf.Tensor`s (in case the model has\n   *     multiple inputs).\n   *   - An Object mapping input names to corresponding `tf.Tensor` (if the\n   *     model has named inputs).\n   * @param y Target darta. It could be either a `tf.Tensor` a multiple\n   *   `tf.Tensor`s. It should be consistent with `x`.\n   * @returns Training loss or losses (in case the model has\n   *   multiple outputs), along with metrics (if any), as numbers.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes'}\n   */\n  async trainOnBatch(\n      x: Tensor|Tensor[]|{[inputName: string]: Tensor},\n      y: Tensor|Tensor[]|\n      {[inputName: string]: Tensor}): Promise<number|number[]> {\n    return this.model.trainOnBatch(x, y);\n  }\n\n  /* See parent class for JsDoc */\n  /** @nocollapse */\n  static fromConfig<T extends serialization.Serializable>(\n      cls: serialization.SerializableConstructor<T>,\n      config: serialization.ConfigDict,\n      customObjects = {} as serialization.ConfigDict,\n      fastWeightInit = false): T {\n    let configArray: serialization.ConfigDictArray;\n    let extraModelConfig: serialization.ConfigDict = {};\n    if (config instanceof Array) {\n      if (!(config[0].className != null) ||\n          config[0]['className'] === 'Merge') {\n        throw new ValueError('Legacy serialization format not supported yet.');\n      }\n      configArray = config;\n    } else {\n      util.assert(\n          config['layers'] != null,\n          () =>\n              `When the config data for a Sequential model is not an Array, ` +\n              `it must be an Object that contains the 'layers' field.`);\n      configArray = config['layers'] as serialization.ConfigDictArray;\n      delete config['layers'];\n      extraModelConfig = config;\n    }\n\n    const model = new cls(extraModelConfig);\n    if (!(model instanceof Sequential)) {\n      throw new NotImplementedError(\n          `Sequential.fromConfig called on non-Sequential input: ${model}`);\n    }\n    for (const conf of configArray) {\n      const customObjects: serialization.ConfigDict = undefined;\n      const layer = deserialize(\n                        conf as serialization.ConfigDict, customObjects,\n                        fastWeightInit) as Layer;\n      if (fastWeightInit) {\n        layer.setFastWeightInitDuringBuild(true);\n      }\n      model.add(layer);\n    }\n    return model;\n  }\n\n  /**\n   * Setter used for force stopping of LayersModel.fit() (i.e., training).\n   *\n   * Example:\n   *\n   * ```js\n   * const model = tf.sequential();\n   * model.add(tf.layers.dense({units: 1, inputShape: [10]}));\n   * model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});\n   * const xs = tf.ones([8, 10]);\n   * const ys = tf.zeros([8, 1]);\n   *\n   * const history = await model.fit(xs, ys, {\n   *   epochs: 10,\n   *   callbacks: {\n   *     onEpochEnd: async (epoch, logs) => {\n   *       if (epoch === 2) {\n   *         model.stopTraining = true;\n   *       }\n   *     }\n   *   }\n   * });\n   *\n   * // There should be only 3 values in the loss array, instead of 10 values,\n   * // due to the stopping after 3 epochs.\n   * console.log(history.history.loss);\n   * ```\n   */\n  set stopTraining(stop: boolean) {\n    // TODO(cais): When refactoring to remove the composition pattern happens,\n    // remove this method overriding.\n    if (this.model == null) {\n      throw new ValueError(\n          'Cannot set the stopTraining property of a sequential model before ' +\n          'it is compiled.');\n    }\n    this.model.stopTraining = stop;\n  }\n\n  get stopTraining(): boolean {\n    if (this.model == null) {\n      throw new ValueError(\n          'Cannot get the stopTraining property of a sequential model before ' +\n          'it is compiled.');\n    }\n    return this.model.stopTraining;\n  }\n\n  // TODO(cais): Override get trainableWeights() here\n\n  // tslint:disable-next-line:no-any\n  getConfig(): any {\n    // NOTE(cais): We override the return type of getConfig() to `any` here,\n    //   because the `Sequential` class is a special case among `Container`\n    //   subtypes in that its getConfig() method returns an Array (not a\n    //   dict).\n    const layers: serialization.ConfigDict[] = [];\n    for (const layer of this.layers) {\n      const dict: serialization.ConfigDict = {};\n      dict['className'] = layer.getClassName();\n      dict['config'] = layer.getConfig();\n      layers.push(dict);\n    }\n    return {name: this.name, layers};\n  }\n}\nserialization.registerClass(Sequential);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Exported functions.\n */\n\nimport {io} from '@tensorflow/tfjs-core';\n\nimport {BaseCallbackConstructor, CallbackConstructorRegistry} from './base_callbacks';\nimport {ContainerArgs} from './engine/container';\nimport {Input, InputConfig,} from './engine/input_layer';\nimport {SymbolicTensor} from './engine/topology';\nimport {LayersModel} from './engine/training';\nimport {loadLayersModelInternal, Sequential, SequentialArgs} from './models';\n\n// TODO(cais): Add doc string to all the public static functions in this\n//   class; include exectuable JavaScript code snippets where applicable\n//   (b/74074458).\n\n// LayersModel and related factory methods.\n\n/**\n * A model is a data structure that consists of `Layers` and defines inputs\n * and outputs.\n *\n * The key difference between `tf.model` and `tf.sequential` is that\n * `tf.model` is more generic, supporting an arbitrary graph (without\n * cycles) of layers. `tf.sequential` is less generic and supports only a linear\n * stack of layers.\n *\n * When creating a `tf.LayersModel`, specify its input(s) and output(s). Layers\n * are used to wire input(s) to output(s).\n *\n * For example, the following code snippet defines a model consisting of\n * two `dense` layers, with 10 and 4 units, respectively.\n *\n * ```js\n * // Define input, which has a size of 5 (not including batch dimension).\n * const input = tf.input({shape: [5]});\n *\n * // First dense layer uses relu activation.\n * const denseLayer1 = tf.layers.dense({units: 10, activation: 'relu'});\n * // Second dense layer uses softmax activation.\n * const denseLayer2 = tf.layers.dense({units: 4, activation: 'softmax'});\n *\n * // Obtain the output symbolic tensor by applying the layers on the input.\n * const output = denseLayer2.apply(denseLayer1.apply(input));\n *\n * // Create the model based on the inputs.\n * const model = tf.model({inputs: input, outputs: output});\n *\n * // The model can be used for training, evaluation and prediction.\n * // For example, the following line runs prediction with the model on\n * // some fake data.\n * model.predict(tf.ones([2, 5])).print();\n * ```\n * See also:\n *   `tf.sequential`, `tf.loadLayersModel`.\n */\n\n/**\n * @doc {heading: 'Models', subheading: 'Creation'}\n */\nexport function model(args: ContainerArgs): LayersModel {\n  return new LayersModel(args);\n}\n\n/**\n * Creates a `tf.Sequential` model.  A sequential model is any model where the\n * outputs of one layer are the inputs to the next layer, i.e. the model\n * topology is a simple 'stack' of layers, with no branching or skipping.\n *\n * This means that the first layer passed to a `tf.Sequential` model should have\n * a defined input shape. What that means is that it should have received an\n * `inputShape` or `batchInputShape` argument, or for some type of layers\n * (recurrent, Dense...) an `inputDim` argument.\n *\n * The key difference between `tf.model` and `tf.sequential` is that\n * `tf.sequential` is less generic, supporting only a linear stack of layers.\n * `tf.model` is more generic and supports an arbitrary graph (without\n * cycles) of layers.\n *\n * Examples:\n *\n * ```js\n * const model = tf.sequential();\n *\n * // First layer must have an input shape defined.\n * model.add(tf.layers.dense({units: 32, inputShape: [50]}));\n * // Afterwards, TF.js does automatic shape inference.\n * model.add(tf.layers.dense({units: 4}));\n *\n * // Inspect the inferred shape of the model's output, which equals\n * // `[null, 4]`. The 1st dimension is the undetermined batch dimension; the\n * // 2nd is the output size of the model's last layer.\n * console.log(JSON.stringify(model.outputs[0].shape));\n * ```\n *\n * It is also possible to specify a batch size (with potentially undetermined\n * batch dimension, denoted by \"null\") for the first layer using the\n * `batchInputShape` key. The following example is equivalent to the above:\n *\n * ```js\n * const model = tf.sequential();\n *\n * // First layer must have a defined input shape\n * model.add(tf.layers.dense({units: 32, batchInputShape: [null, 50]}));\n * // Afterwards, TF.js does automatic shape inference.\n * model.add(tf.layers.dense({units: 4}));\n *\n * // Inspect the inferred shape of the model's output.\n * console.log(JSON.stringify(model.outputs[0].shape));\n * ```\n *\n * You can also use an `Array` of already-constructed `Layer`s to create\n * a `tf.Sequential` model:\n *\n * ```js\n * const model = tf.sequential({\n *   layers: [tf.layers.dense({units: 32, inputShape: [50]}),\n *            tf.layers.dense({units: 4})]\n * });\n * console.log(JSON.stringify(model.outputs[0].shape));\n * ```\n */\n/**\n * @doc {heading: 'Models', subheading: 'Creation'}\n */\nexport function sequential(config?: SequentialArgs): Sequential {\n  return new Sequential(config);\n}\n\n/**\n * Load a model composed of Layer objects, including its topology and optionally\n * weights. See the Tutorial named \"How to import a Keras Model\" for usage\n * examples.\n *\n * This method is applicable to:\n *\n * 1. Models created with the `tf.layers.*`, `tf.sequential`, and\n * `tf.model` APIs of TensorFlow.js and later saved with the\n * `tf.LayersModel.save` method.\n * 2. Models converted from Keras or TensorFlow tf.keras using\n *    the [tensorflowjs_converter](https://github.com/tensorflow/tfjs-converter)\n *\n * This mode is *not* applicable to TensorFlow `SavedModel`s or their converted\n * forms. For those models, use `tf.loadGraphModel`.\n *\n * Example 1. Load a model from an HTTP server.\n *\n * ```js\n * const model = await tf.loadLayersModel(\n *     'https://storage.googleapis.com/tfjs-models/tfjs/iris_v1/model.json');\n * model.summary();\n * ```\n *\n * Example 2: Save `model`'s topology and weights to browser [local\n * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n * then load it back.\n *\n * ```js\n * const model = tf.sequential(\n *     {layers: [tf.layers.dense({units: 1, inputShape: [3]})]});\n * console.log('Prediction from original model:');\n * model.predict(tf.ones([1, 3])).print();\n *\n * const saveResults = await model.save('localstorage://my-model-1');\n *\n * const loadedModel = await tf.loadLayersModel('localstorage://my-model-1');\n * console.log('Prediction from loaded model:');\n * loadedModel.predict(tf.ones([1, 3])).print();\n * ```\n *\n * Example 3. Saving `model`'s topology and weights to browser\n * [IndexedDB](https://developer.mozilla.org/en-US/docs/Web/API/IndexedDB_API);\n * then load it back.\n *\n * ```js\n * const model = tf.sequential(\n *     {layers: [tf.layers.dense({units: 1, inputShape: [3]})]});\n * console.log('Prediction from original model:');\n * model.predict(tf.ones([1, 3])).print();\n *\n * const saveResults = await model.save('indexeddb://my-model-1');\n *\n * const loadedModel = await tf.loadLayersModel('indexeddb://my-model-1');\n * console.log('Prediction from loaded model:');\n * loadedModel.predict(tf.ones([1, 3])).print();\n * ```\n *\n * Example 4. Load a model from user-selected files from HTML\n * [file input\n * elements](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/input/file).\n *\n * ```js\n * // Note: this code snippet will not work without the HTML elements in the\n * //   page\n * const jsonUpload = document.getElementById('json-upload');\n * const weightsUpload = document.getElementById('weights-upload');\n *\n * const model = await tf.loadLayersModel(\n *     tf.io.browserFiles([jsonUpload.files[0], weightsUpload.files[0]]));\n * ```\n *\n * @param pathOrIOHandler Can be either of the two formats\n *   1. A string path to the `ModelAndWeightsConfig` JSON describing\n *      the model in the canonical TensorFlow.js format. For file://\n *      (tfjs-node-only), http:// and https:// schemas, the path can be\n *      either absolute or relative.\n *   2. An `tf.io.IOHandler` object that loads model artifacts with its `load`\n *      method.\n * @param options Optional configuration arguments for the model loading,\n *   including:\n *   - `strict`: Require that the provided weights exactly match those required\n *     by the layers.  Default true.  Passing false means that both extra\n *     weights and missing weights will be silently ignored.\n *   - ｀onProgress｀: A function of the signature `(fraction: number) => void',\n *     that can be used as the progress callback for the model loading.\n * @returns A `Promise` of `tf.LayersModel`, with the topology and weights\n *     loaded.\n */\n/** @doc {heading: 'Models', subheading: 'Loading'} */\nexport function loadLayersModel(\n    pathOrIOHandler: string|io.IOHandler,\n    options?: io.LoadOptions): Promise<LayersModel> {\n  if (options == null) {\n    options = {};\n  }\n  return loadLayersModelInternal(pathOrIOHandler, options);\n}\n\n/**\n * Used to instantiate an input to a model as a `tf.SymbolicTensor`.\n *\n * Users should call the `input` factory function for\n * consistency with other generator functions.\n *\n * Example:\n *\n * ```js\n * // Defines a simple logistic regression model with 32 dimensional input\n * // and 3 dimensional output.\n * const x = tf.input({shape: [32]});\n * const y = tf.layers.dense({units: 3, activation: 'softmax'}).apply(x);\n * const model = tf.model({inputs: x, outputs: y});\n * model.predict(tf.ones([2, 32])).print();\n * ```\n *\n * Note: `input` is only necessary when using `model`. When using\n * `sequential`, specify `inputShape` for the first layer or use `inputLayer`\n * as the first layer.\n */\n/** @doc {heading: 'Models', subheading: 'Inputs'} */\nexport function input(config: InputConfig): SymbolicTensor {\n  return Input(config);\n}\n\nexport function registerCallbackConstructor(\n    verbosityLevel: number,\n    callbackConstructor: BaseCallbackConstructor): void {\n  CallbackConstructorRegistry.registerCallbackConstructor(\n      verbosityLevel, callbackConstructor);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n// Layer activation functions\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {serialization, Tensor, tidy} from '@tensorflow/tfjs-core';\nimport * as K from './backend/tfjs_backend';\nimport {ActivationIdentifier} from './keras_format/activation_config';\nimport {deserializeKerasObject} from './utils/generic_utils';\n\n/**\n * Base class for Activations.\n *\n * Special note: due to cross-language compatibility reasons, the\n * static readonly className field in this family of classes must be set to\n * the initialLowerCamelCase name of the activation.\n */\nexport abstract class Activation extends serialization.Serializable {\n  abstract apply(tensor: Tensor, axis?: number): Tensor;\n  getConfig(): serialization.ConfigDict {\n    return {};\n  }\n}\n\n/**\n * Exponential linear unit (ELU).\n * Reference: https://arxiv.org/abs/1511.07289\n */\nexport class Elu extends Activation {\n  /** @nocollapse */\n  static readonly className = 'elu';\n  /**\n   * Calculate the activation function.\n   *\n   * @param x: Input.\n   * @param alpha: Scaling factor the negative section.\n   * @return Output of the ELU activation.\n   */\n  apply(x: Tensor, alpha = 1): Tensor {\n    return K.elu(x, alpha);\n  }\n}\nserialization.registerClass(Elu);\n\n/**\n * Scaled Exponential Linear Unit. (Klambauer et al., 2017).\n * Reference: Self-Normalizing Neural Networks, https://arxiv.org/abs/1706.02515\n * Notes:\n *   - To be used together with the initialization \"lecunNormal\".\n *   - To be used together with the dropout variant \"AlphaDropout\".\n */\nexport class Selu extends Activation {\n  /** @nocollapse */\n  static readonly className = 'selu';\n  apply(x: Tensor): Tensor {\n    return tfc.selu(x);\n  }\n}\nserialization.registerClass(Selu);\n\n/**\n *  Rectified linear unit\n */\nexport class Relu extends Activation {\n  /** @nocollapse */\n  static readonly className = 'relu';\n  apply(x: Tensor): Tensor {\n    return tfc.relu(x);\n  }\n}\nserialization.registerClass(Relu);\n\n/**\n * Rectified linear unit activation maxing out at 6.0.\n */\nexport class Relu6 extends Activation {\n  /** @nocollapse */\n  static readonly className = 'relu6';\n  apply(x: Tensor): Tensor {\n    return tidy(() => tfc.minimum(6.0, tfc.relu(x)));\n  }\n}\nserialization.registerClass(Relu6);\n\n//* Linear activation (no-op) */\nexport class Linear extends Activation {\n  /** @nocollapse */\n  static readonly className = 'linear';\n  apply(x: Tensor): Tensor {\n    return x;\n  }\n}\nserialization.registerClass(Linear);\n\n/**\n * Sigmoid activation function.\n */\nexport class Sigmoid extends Activation {\n  /** @nocollapse */\n  static readonly className = 'sigmoid';\n  apply(x: Tensor): Tensor {\n    return tfc.sigmoid(x);\n  }\n}\nserialization.registerClass(Sigmoid);\n\n/**\n * Segment-wise linear approximation of sigmoid.\n */\nexport class HardSigmoid extends Activation {\n  /** @nocollapse */\n  static readonly className = 'hardSigmoid';\n  apply(x: Tensor): Tensor {\n    return K.hardSigmoid(x);\n  }\n}\nserialization.registerClass(HardSigmoid);\n\n/**\n * Softplus activation function.\n */\nexport class Softplus extends Activation {\n  /** @nocollapse */\n  static readonly className = 'softplus';\n  apply(x: Tensor): Tensor {\n    return tfc.softplus(x);\n  }\n}\nserialization.registerClass(Softplus);\n\n/**\n * Softsign activation function.\n */\nexport class Softsign extends Activation {\n  /** @nocollapse */\n  static readonly className = 'softsign';\n  apply(x: Tensor): Tensor {\n    return K.softsign(x);\n  }\n}\nserialization.registerClass(Softsign);\n\n/**\n * Hyperbolic tangent function.\n */\nexport class Tanh extends Activation {\n  /** @nocollapse */\n  static readonly className = 'tanh';\n  apply(x: Tensor): Tensor {\n    return tfc.tanh(x);\n  }\n}\nserialization.registerClass(Tanh);\n\n/**\n * Softmax activation function\n */\nexport class Softmax extends Activation {\n  /** @nocollapse */\n  static readonly className = 'softmax';\n  /**\n   * Calculate the activation function.\n   *\n   * @param x Tensor.\n   * @param axis Integer, axis along which the softmax normalization is applied.\n   * Invalid if < 2, as softmax across 1 (the batch dimension) is assumed to be\n   * an error.\n   *\n   * @returns a Tensor of the same shape as x\n   *\n   * @throws ValueError: In case `dim(x) < 2`.\n   */\n  apply(x: Tensor, axis: number = (-1)): Tensor {\n    return tfc.softmax(x, axis);\n  }\n}\nserialization.registerClass(Softmax);\n\n/**\n * Log softmax activation function\n */\nexport class LogSoftmax extends Activation {\n  /** @nocollapse */\n  static readonly className = 'logSoftmax';\n  /**\n   * Calculate the activation function of log softmax:\n   * log( exp(x_i) / sum(exp(x)) )\n   *\n   * @param x Tensor.\n   * @param axis Integer, axis along which the softmax normalization is applied.\n   * Invalid if < 2, as softmax across 1 (the batch dimension) is assumed to be\n   * an error.\n   *\n   * @returns a Tensor of the same shape as x\n   *\n   * @throws ValueError: In case `dim(x) < 2`.\n   */\n  apply(x: Tensor, axis: number = (-1)): Tensor {\n    return tfc.logSoftmax(x, axis);\n  }\n}\nserialization.registerClass(LogSoftmax);\n\nexport function serializeActivation(activation: Activation): string {\n  return activation.getClassName();\n}\n\nexport function deserializeActivation(\n   config: serialization.ConfigDict,\n   customObjects: serialization.ConfigDict = {}): Activation {\n  return deserializeKerasObject(\n      config, serialization.SerializationMap.getMap().classNameMap,\n      customObjects, 'activation');\n}\n\nexport function getActivation(identifier: ActivationIdentifier|\n                              serialization.ConfigDict|Activation): Activation {\n  if (identifier == null) {\n    const config: serialization.ConfigDict = {};\n    config['className'] = 'linear';\n    config['config'] = {};\n    return deserializeActivation(config);\n  }\n  if (typeof identifier === 'string') {\n    const config: serialization.ConfigDict = {};\n    config['className'] = identifier;\n    config['config'] = {};\n    return deserializeActivation(config);\n  } else if (identifier instanceof Activation) {\n    return identifier;\n  } else {\n    return deserializeActivation(identifier);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/* original source: keras/regularizers.py */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {abs, add, Scalar, serialization, sum, Tensor, tidy, zeros} from '@tensorflow/tfjs-core';\nimport * as K from './backend/tfjs_backend';\nimport {deserializeKerasObject, serializeKerasObject} from './utils/generic_utils';\n\nfunction assertObjectArgs(args: L1Args | L2Args | L1L2Args): void {\n  if (args != null && typeof args !== 'object') {\n    throw new Error(\n        `Argument to L1L2 regularizer's constructor is expected to be an ` +\n        `object, but received: ${args}`);\n  }\n}\n\n/**\n * Regularizer base class.\n */\nexport abstract class Regularizer extends serialization.Serializable {\n  abstract apply(x: Tensor): Scalar;\n}\n\nexport interface L1L2Args {\n  /** L1 regularization rate. Defaults to 0.01. */\n  l1?: number;\n  /** L2 regularization rate. Defaults to 0.01. */\n  l2?: number;\n}\n\nexport interface L1Args {\n  /** L1 regularization rate. Defaults to 0.01. */\n  l1: number;\n}\n\nexport interface L2Args {\n  /** L2 regularization rate. Defaults to 0.01. */\n  l2: number;\n}\n\nexport class L1L2 extends Regularizer {\n  /** @nocollapse */\n  static className = 'L1L2';\n\n  private readonly l1: number;\n  private readonly l2: number;\n  private readonly hasL1: boolean;\n  private readonly hasL2: boolean;\n  constructor(args?: L1L2Args) {\n    super();\n\n    assertObjectArgs(args);\n\n    this.l1 = args == null || args.l1 == null ? 0.01 : args.l1;\n    this.l2 = args == null || args.l2 == null ? 0.01 : args.l2;\n    this.hasL1 = this.l1 !== 0;\n    this.hasL2 = this.l2 !== 0;\n  }\n\n  /**\n   * Porting note: Renamed from __call__.\n   * @param x Variable of which to calculate the regularization score.\n   */\n  apply(x: Tensor): Scalar {\n    return tidy(() => {\n      let regularization: Tensor = zeros([1]);\n      if (this.hasL1) {\n        regularization = add(regularization, sum(tfc.mul(this.l1, abs(x))));\n      }\n      if (this.hasL2) {\n        regularization =\n            add(regularization, sum(tfc.mul(this.l2, K.square(x))));\n      }\n      return regularization.asScalar();\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    return {'l1': this.l1, 'l2': this.l2};\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends serialization.Serializable>(\n      cls: serialization.SerializableConstructor<T>,\n      config: serialization.ConfigDict): T {\n    return new cls({l1: config['l1'] as number, l2: config['l2'] as number});\n  }\n}\nserialization.registerClass(L1L2);\n\nexport function l1(args?: L1Args) {\n  assertObjectArgs(args);\n  return new L1L2({l1: args != null ? args.l1 : null, l2: 0});\n}\n\nexport function l2(args: L2Args) {\n  assertObjectArgs(args);\n  return new L1L2({l2: args != null ? args.l2 : null, l1: 0});\n}\n\n/** @docinline */\nexport type RegularizerIdentifier = 'l1l2'|string;\n\n// Maps the JavaScript-like identifier keys to the corresponding keras symbols.\nexport const REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP:\n    {[identifier in RegularizerIdentifier]: string} = {\n      'l1l2': 'L1L2'\n    };\n\nexport function serializeRegularizer(constraint: Regularizer):\n    serialization.ConfigDictValue {\n  return serializeKerasObject(constraint);\n}\n\nexport function deserializeRegularizer(\n    config: serialization.ConfigDict,\n    customObjects: serialization.ConfigDict = {}): Regularizer {\n  return deserializeKerasObject(\n      config, serialization.SerializationMap.getMap().classNameMap,\n      customObjects, 'regularizer');\n}\n\nexport function getRegularizer(identifier: RegularizerIdentifier|\n                               serialization.ConfigDict|\n                               Regularizer): Regularizer {\n  if (identifier == null) {\n    return null;\n  }\n  if (typeof identifier === 'string') {\n    const className = identifier in REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP ?\n        REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[identifier] :\n        identifier;\n    const config = {className, config: {}};\n    return deserializeRegularizer(config);\n  } else if (identifier instanceof Regularizer) {\n    return identifier;\n  } else {\n    return deserializeRegularizer(identifier);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n *  Advanced activation layers.\n */\n\nimport {clipByValue, elu, leakyRelu, prelu, relu, serialization, Tensor} from '@tensorflow/tfjs-core';\n\nimport {Softmax as softmaxActivation} from '../activations';\nimport {cast} from '../backend/tfjs_backend';\nimport {Constraint, getConstraint, serializeConstraint} from '../constraints';\nimport {InputSpec, Layer, LayerArgs} from '../engine/topology';\nimport {NotImplementedError, ValueError} from '../errors';\nimport {getInitializer, Initializer, InitializerIdentifier, serializeInitializer} from '../initializers';\nimport {Shape} from '../keras_format/common';\nimport {getRegularizer, Regularizer, serializeRegularizer} from '../regularizers';\nimport {Kwargs} from '../types';\nimport {getExactlyOneShape, getExactlyOneTensor} from '../utils/types_utils';\nimport {LayerVariable} from '../variables';\n\nexport declare interface ReLULayerArgs extends LayerArgs {\n  /**\n   * Float, the maximum output value.\n   */\n  maxValue?: number;\n}\n\nexport class ReLU extends Layer {\n  /** @nocollapse */\n  static className = 'ReLU';\n  maxValue: number;\n\n  constructor(args?: ReLULayerArgs) {\n    super(args == null ? {} : args);\n    this.supportsMasking = true;\n    if (args != null) {\n      this.maxValue = args.maxValue;\n    }\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    inputs = getExactlyOneTensor(inputs);\n    let output = relu(inputs);\n    if (this.maxValue != null) {\n      output = clipByValue(output, 0, this.maxValue);\n    }\n    return output;\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    return inputShape;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {maxValue: this.maxValue};\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(ReLU);\n\nexport declare interface LeakyReLULayerArgs extends LayerArgs {\n  /**\n   * Float `>= 0`. Negative slope coefficient. Defaults to `0.3`.\n   */\n  alpha?: number;\n}\n\nexport class LeakyReLU extends Layer {\n  /** @nocollapse */\n  static className = 'LeakyReLU';\n  readonly alpha: number;\n\n  readonly DEFAULT_ALPHA = 0.3;\n\n  constructor(args?: LeakyReLULayerArgs) {\n    super(args == null ? {} : args);\n    if (args == null) {\n      args = {};\n    }\n    this.alpha = args.alpha == null ? this.DEFAULT_ALPHA : args.alpha;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    const x = getExactlyOneTensor(inputs);\n    return leakyRelu(x, this.alpha);\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    return inputShape;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {alpha: this.alpha};\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(LeakyReLU);\n\nexport declare interface PReLULayerArgs extends LayerArgs {\n  /**\n   * Initializer for the learnable alpha.\n   */\n  alphaInitializer?: Initializer|InitializerIdentifier;\n\n  /**\n   * Regularizer for the learnable alpha.\n   */\n  alphaRegularizer?: Regularizer;\n\n  /**\n   * Constraint for the learnable alpha.\n   */\n  alphaConstraint?: Constraint;\n\n  /**\n   * The axes along which to share learnable parameters for the activation\n   * function. For example, if the incoming feature maps are from a 2D\n   * convolution with output shape `[numExamples, height, width, channels]`,\n   * and you wish to share parameters across space (height and width) so that\n   * each filter channels has only one set of parameters, set\n   * `shared_axes: [1, 2]`.\n   */\n  sharedAxes?: number|number[];\n}\n\nexport class PReLU extends Layer {\n  /** @nocollapse */\n  static className = 'PReLU';\n  private readonly alphaInitializer: Initializer;\n  private readonly alphaRegularizer: Regularizer;\n  private readonly alphaConstraint: Constraint;\n  private readonly sharedAxes: number[];\n  private alpha: LayerVariable;\n\n  readonly DEFAULT_ALPHA_INITIALIZER: InitializerIdentifier = 'zeros';\n\n  constructor(args?: PReLULayerArgs) {\n    super(args == null ? {} : args);\n    if (args == null) {\n      args = {};\n    }\n\n    this.supportsMasking = true;\n    this.alphaInitializer =\n        getInitializer(args.alphaInitializer || this.DEFAULT_ALPHA_INITIALIZER);\n    this.alphaRegularizer = getRegularizer(args.alphaRegularizer);\n    this.alphaConstraint = getConstraint(args.alphaConstraint);\n    if (args.sharedAxes == null) {\n      this.sharedAxes = null;\n    } else if (Array.isArray(args.sharedAxes)) {\n      this.sharedAxes = args.sharedAxes;\n    } else if (typeof args.sharedAxes === 'number') {\n      this.sharedAxes = [args.sharedAxes];\n    } else {\n      throw new ValueError(\n          `Expected sharedAxes to be a number or an array of numbers, ` +\n          `but got ${args.sharedAxes}`);\n    }\n  }\n\n  build(inputShape: Shape|Shape[]) {\n    inputShape = getExactlyOneShape(inputShape);\n    const paramShape: Shape = inputShape.slice(1);\n    if (this.sharedAxes != null) {\n      for (const i of this.sharedAxes) {\n        paramShape[i - 1] = 1;\n      }\n    }\n    this.alpha = this.addWeight(\n        'alpha', paramShape, 'float32', this.alphaInitializer,\n        this.alphaRegularizer, true, this.alphaConstraint);\n    // Set input spec.\n    const axes: {[axis: number]: number} = {};\n    if (this.sharedAxes != null) {\n      for (let i = 1; i < inputShape.length; ++i) {\n        axes[i] = inputShape[i];\n      }\n    }\n    this.inputSpec = [new InputSpec({\n      ndim: inputShape.length,\n      axes,\n    })];\n    this.built = true;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    inputs = getExactlyOneTensor(inputs);\n    return prelu(inputs, this.alpha.read());\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      alphaInitializer: serializeInitializer(this.alphaInitializer),\n      alphaRegularizer: serializeRegularizer(this.alphaRegularizer),\n      alphaConstraint: serializeConstraint(this.alphaConstraint),\n      sharedAxes: this.sharedAxes\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(PReLU);\n\nexport declare interface ELULayerArgs extends LayerArgs {\n  /**\n   * Float `>= 0`. Negative slope coefficient. Defaults to `1.0`.\n   */\n  alpha?: number;\n}\n\nexport class ELU extends Layer {\n  /** @nocollapse */\n  static className = 'ELU';\n  readonly alpha: number;\n\n  readonly DEFAULT_ALPHA = 1.0;\n\n  constructor(args?: ELULayerArgs) {\n    super(args == null ? {} : args);\n    if (args == null) {\n      args = {};\n    }\n\n    if (args.alpha != null && args.alpha !== this.DEFAULT_ALPHA) {\n      throw new NotImplementedError(\n          `Non-default alpha value (${args.alpha}) is not supported by the ` +\n          `ELU layer yet.`);\n    }\n\n    this.alpha = args.alpha == null ? this.DEFAULT_ALPHA : args.alpha;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    const x = getExactlyOneTensor(inputs);\n    return elu(x);\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    return inputShape;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {alpha: this.alpha};\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(ELU);\n\nexport declare interface ThresholdedReLULayerArgs extends LayerArgs {\n  /**\n   * Float >= 0. Threshold location of activation.\n   */\n  theta?: number;\n}\n\nexport class ThresholdedReLU extends Layer {\n  /** @nocollapse */\n  static className = 'ThresholdedReLU';\n  readonly theta: number;\n\n  readonly DEFAULT_THETA = 1.0;\n\n  constructor(args?: ThresholdedReLULayerArgs) {\n    super(args == null ? {} : args);\n    if (args == null) {\n      args = {};\n    }\n\n    this.theta = args.theta == null ? this.DEFAULT_THETA : args.theta;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    const x = getExactlyOneTensor(inputs);\n    return x.mul(cast(x.greater(this.theta), 'float32'));\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    return inputShape;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {theta: this.theta};\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(ThresholdedReLU);\n\nexport declare interface SoftmaxLayerArgs extends LayerArgs {\n  /**\n   * Integer, axis along which the softmax normalization is applied.\n   * Defaults to `-1` (i.e., the last axis).\n   */\n  axis?: number;\n}\n\nexport class Softmax extends Layer {\n  /** @nocollapse */\n  static className = 'Softmax';\n  readonly axis: number;\n  readonly softmax: (t: Tensor, a?: number) => Tensor;\n  readonly DEFAULT_AXIS = 1.0;\n\n  constructor(args?: SoftmaxLayerArgs) {\n    super(args == null ? {} : args);\n    if (args == null) {\n      args = {};\n    }\n    this.softmax = new softmaxActivation().apply;\n    this.axis = args.axis == null ? this.DEFAULT_AXIS : args.axis;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    const x = getExactlyOneTensor(inputs);\n    return this.softmax(x, this.axis);\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    return inputShape;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {axis: this.axis};\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(Softmax);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport {ValueError} from '../errors';\nimport {PaddingMode} from '../keras_format/common';\n\nimport {pyListRepeat} from './generic_utils';\nimport {isInteger, max} from './math_utils';\n\n/**\n * Transforms a single number of array of numbers into an array of numbers.\n * @param value\n * @param n: The size of the tuple to be returned.\n * @param name: Name of the parameter, used for generating error messages.\n * @returns An array of numbers.\n */\nexport function normalizeArray(\n    value: number|number[], n: number, name: string): number[] {\n  if (typeof value === 'number') {\n    return pyListRepeat(value, n);\n  } else {\n    if (value.length !== n) {\n      throw new ValueError(\n          `The ${name} argument must be an integer or tuple of ${n} integers.` +\n          ` Received: ${value.length} elements.`);\n    }\n    for (let i = 0; i < n; ++i) {\n      const singleValue = value[i];\n      if (!isInteger(singleValue)) {\n        throw new ValueError(\n            `The ${name} argument must be an integer or tuple of ${n}` +\n            ` integers. Received: ${JSON.stringify(value)} including a` +\n            ` non-integer number ${singleValue}`);\n      }\n    }\n    return value;\n  }\n}\n\n/**\n * Determines output length of a convolution given input length.\n * @param inputLength\n * @param filterSize\n * @param padding\n * @param stride\n * @param dilation: dilation rate.\n */\nexport function convOutputLength(\n    inputLength: number, filterSize: number, padding: PaddingMode,\n    stride: number, dilation = 1): number {\n  if (inputLength == null) {\n    return inputLength;\n  }\n  const dilatedFilterSize = filterSize + (filterSize - 1) * (dilation - 1);\n  let outputLength: number;\n  if (padding === 'same') {\n    outputLength = inputLength;\n  } else {  // VALID\n    outputLength = inputLength - dilatedFilterSize + 1;\n  }\n  return Math.floor((outputLength + stride - 1) / stride);\n}\n\nexport function deconvLength(\n    dimSize: number, strideSize: number, kernelSize: number,\n    padding: PaddingMode): number {\n  if (dimSize == null) {\n    return null;\n  }\n\n  if (padding === 'valid') {\n    dimSize = dimSize * strideSize + max([kernelSize - strideSize, 0]);\n  } else if (padding === 'same') {\n    dimSize = dimSize * strideSize;\n  } else {\n    throw new ValueError(`Unsupport padding mode: ${padding}.`);\n  }\n  return dimSize;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * TensorFlow.js Layers: Convolutional Layers\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {fused, serialization, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, tidy} from '@tensorflow/tfjs-core';\n\nimport {Activation, getActivation, serializeActivation} from '../activations';\nimport {imageDataFormat} from '../backend/common';\nimport * as K from '../backend/tfjs_backend';\nimport {checkDataFormat, checkPaddingMode} from '../common';\nimport {Constraint, ConstraintIdentifier, getConstraint, serializeConstraint} from '../constraints';\nimport {InputSpec, Layer, LayerArgs} from '../engine/topology';\nimport {NotImplementedError, ValueError} from '../errors';\nimport {getInitializer, Initializer, InitializerIdentifier, serializeInitializer} from '../initializers';\nimport {ActivationIdentifier} from '../keras_format/activation_config';\nimport {DataFormat, PaddingMode, Shape} from '../keras_format/common';\nimport {getRegularizer, Regularizer, RegularizerIdentifier, serializeRegularizer} from '../regularizers';\nimport {Kwargs} from '../types';\nimport {convOutputLength, deconvLength, normalizeArray} from '../utils/conv_utils';\nimport * as generic_utils from '../utils/generic_utils';\nimport {getExactlyOneShape, getExactlyOneTensor} from '../utils/types_utils';\nimport {LayerVariable} from '../variables';\n\n/**\n * Transpose and cast the input before the conv2d.\n * @param x Input image tensor.\n * @param dataFormat\n */\nexport function preprocessConv2DInput(\n    x: Tensor, dataFormat: DataFormat): Tensor {\n  // TODO(cais): Cast type to float32 if not.\n  return tidy(() => {\n    checkDataFormat(dataFormat);\n    if (dataFormat === 'channelsFirst') {\n      return tfc.transpose(x, [0, 2, 3, 1]);  // NCHW -> NHWC.\n    } else {\n      return x;\n    }\n  });\n}\n\n/**\n * Transpose and cast the input before the conv3d.\n * @param x Input image tensor.\n * @param dataFormat\n */\nexport function preprocessConv3DInput(\n    x: Tensor, dataFormat: DataFormat): Tensor {\n  return tidy(() => {\n    checkDataFormat(dataFormat);\n    if (dataFormat === 'channelsFirst') {\n      return tfc.transpose(x, [0, 2, 3, 4, 1]);  // NCDHW -> NDHWC.\n    } else {\n      return x;\n    }\n  });\n}\n\n/**\n * 1D-convolution with bias added.\n *\n * Porting Note: This function does not exist in the Python Keras backend.\n *   It is exactly the same as `conv2d`, except the added `bias`.\n *\n * @param x Input tensor, rank-3, of shape `[batchSize, width, inChannels]`.\n * @param kernel Kernel, rank-3, of shape `[filterWidth, inDepth, outDepth]`.\n * @param bias Bias, rank-3, of shape `[outDepth]`.\n * @param strides\n * @param padding Padding mode.\n * @param dataFormat Data format.\n * @param dilationRate\n * @returns The result of the 1D convolution.\n * @throws ValueError, if `x`, `kernel` or `bias` is not of the correct rank.\n */\nexport function conv1dWithBias(\n    x: Tensor, kernel: Tensor, bias: Tensor, strides = 1, padding = 'valid',\n    dataFormat?: DataFormat, dilationRate = 1): Tensor {\n  return tidy(() => {\n    if (dataFormat == null) {\n      dataFormat = imageDataFormat();\n    }\n    checkDataFormat(dataFormat);\n    // Check the ranks of x, kernel and bias.\n    if (x.shape.length !== 3) {\n      throw new ValueError(\n          `The input of a conv1dWithBias operation should be 3, but is ` +\n          `${x.shape.length} instead.`);\n    }\n    if (kernel.shape.length !== 3) {\n      throw new ValueError(\n          `The kernel for a conv1dWithBias operation should be 3, but is ` +\n          `${kernel.shape.length} instead`);\n    }\n    if (bias != null && bias.shape.length !== 1) {\n      throw new ValueError(\n          `The bias for a conv1dWithBias operation should be 1, but is ` +\n          `${kernel.shape.length} instead`);\n    }\n    // TODO(cais): Support CAUSAL padding mode.\n    if (dataFormat === 'channelsFirst') {\n      x = tfc.transpose(x, [0, 2, 1]);  // NCW -> NWC.\n    }\n    if (padding === 'causal') {\n      throw new NotImplementedError(\n          'The support for CAUSAL padding mode in conv1dWithBias is not ' +\n          'implemented yet.');\n    }\n    let y: Tensor = tfc.conv1d(\n        x as Tensor2D | Tensor3D, kernel as Tensor3D, strides,\n        padding === 'same' ? 'same' : 'valid', 'NWC', dilationRate);\n    if (bias != null) {\n      y = K.biasAdd(y, bias);\n    }\n    return y;\n  });\n}\n\n/**\n * 1D-convolution.\n *\n * @param x Input tensor, rank-3, of shape `[batchSize, width, inChannels]`.\n * @param kernel Kernel, rank-3, of shape `[filterWidth, inDepth, outDepth]`.s\n * @param strides\n * @param padding Padding mode.\n * @param dataFormat Data format.\n * @param dilationRate\n * @returns The result of the 1D convolution.\n * @throws ValueError, if `x`, `kernel` or `bias` is not of the correct rank.\n */\nexport function conv1d(\n    x: Tensor, kernel: Tensor, strides = 1, padding = 'valid',\n    dataFormat?: DataFormat, dilationRate = 1): Tensor {\n  return tidy(() => {\n    checkDataFormat(dataFormat);\n    return conv1dWithBias(\n        x, kernel, null, strides, padding, dataFormat, dilationRate);\n  });\n}\n\n/**\n * 2D Convolution\n * @param x\n * @param kernel kernel of the convolution.\n * @param strides strides array.\n * @param padding padding mode. Default to 'valid'.\n * @param dataFormat data format. Defaults to 'channelsLast'.\n * @param dilationRate dilation rate array.\n * @returns Result of the 2D pooling.\n */\nexport function conv2d(\n    x: Tensor, kernel: Tensor, strides = [1, 1], padding = 'valid',\n    dataFormat?: DataFormat, dilationRate?: [number, number]): Tensor {\n  return tidy(() => {\n    checkDataFormat(dataFormat);\n    return conv2dWithBiasActivation(\n        x, kernel, null, strides, padding, dataFormat, dilationRate);\n  });\n}\n\n/**\n * 2D Convolution with an added bias and optional activation.\n * Note: This function does not exist in the Python Keras Backend. This function\n * is exactly the same as `conv2d`, except the added `bias`.\n */\nexport function conv2dWithBiasActivation(\n    x: Tensor, kernel: Tensor, bias: Tensor, strides = [1, 1],\n    padding = 'valid', dataFormat?: DataFormat, dilationRate?: [number, number],\n    activation: fused.Activation = null): Tensor {\n  return tidy(() => {\n    if (dataFormat == null) {\n      dataFormat = imageDataFormat();\n    }\n    checkDataFormat(dataFormat);\n    if (x.rank !== 3 && x.rank !== 4) {\n      throw new ValueError(\n          `conv2dWithBiasActivation expects input to be of rank 3 or 4, ` +\n          `but received ${x.rank}.`);\n    }\n    if (kernel.rank !== 3 && kernel.rank !== 4) {\n      throw new ValueError(\n          `conv2dWithBiasActivation expects kernel to be of rank 3 or 4, ` +\n          `but received ${x.rank}.`);\n    }\n    let y = preprocessConv2DInput(x, dataFormat);\n    if (padding === 'causal') {\n      throw new NotImplementedError(\n          'The support for CAUSAL padding mode in conv1dWithBias is not ' +\n          'implemented yet.');\n    }\n    y = tfc.fused.conv2d({\n      x: y as Tensor3D | Tensor4D,\n      filter: kernel as Tensor4D,\n      strides: strides as [number, number],\n      pad: padding === 'same' ? 'same' : 'valid',\n      dilations: dilationRate,\n      dataFormat: 'NHWC',\n      bias,\n      activation\n    });\n    if (dataFormat === 'channelsFirst') {\n      y = tfc.transpose(y, [0, 3, 1, 2]);\n    }\n    return y;\n  });\n}\n\n/**\n * 3D Convolution.\n * @param x\n * @param kernel kernel of the convolution.\n * @param strides strides array.\n * @param padding padding mode. Default to 'valid'.\n * @param dataFormat data format. Defaults to 'channelsLast'.\n * @param dilationRate dilation rate array.\n * @returns Result of the 3D convolution.\n */\nexport function conv3d(\n    x: Tensor, kernel: Tensor, strides = [1, 1, 1], padding = 'valid',\n    dataFormat?: DataFormat, dilationRate?: [number, number, number]): Tensor {\n  return tidy(() => {\n    checkDataFormat(dataFormat);\n    return conv3dWithBias(\n        x, kernel, null, strides, padding, dataFormat, dilationRate);\n  });\n}\n\n/**\n * 3D Convolution with an added bias.\n * Note: This function does not exist in the Python Keras Backend. This function\n * is exactly the same as `conv3d`, except the added `bias`.\n */\nexport function conv3dWithBias(\n    x: Tensor, kernel: Tensor, bias: Tensor, strides = [1, 1, 1],\n    padding = 'valid', dataFormat?: DataFormat,\n    dilationRate?: [number, number, number]): Tensor {\n  return tidy(() => {\n    if (dataFormat == null) {\n      dataFormat = imageDataFormat();\n    }\n    checkDataFormat(dataFormat);\n    if (x.rank !== 4 && x.rank !== 5) {\n      throw new ValueError(\n          `conv3dWithBias expects input to be of rank 4 or 5, but received ` +\n          `${x.rank}.`);\n    }\n    if (kernel.rank !== 4 && kernel.rank !== 5) {\n      throw new ValueError(\n          `conv3dWithBias expects kernel to be of rank 4 or 5, but received ` +\n          `${x.rank}.`);\n    }\n    let y = preprocessConv3DInput(x, dataFormat);\n    if (padding === 'causal') {\n      throw new NotImplementedError(\n          'The support for CAUSAL padding mode in conv3dWithBias is not ' +\n          'implemented yet.');\n    }\n    y = tfc.conv3d(\n        y as Tensor4D | tfc.Tensor<tfc.Rank.R5>,\n        kernel as tfc.Tensor<tfc.Rank.R5>, strides as [number, number, number],\n        padding === 'same' ? 'same' : 'valid', 'NDHWC', dilationRate);\n    if (bias != null) {\n      y = K.biasAdd(y, bias as Tensor1D);\n    }\n    if (dataFormat === 'channelsFirst') {\n      y = tfc.transpose(y, [0, 4, 1, 2, 3]);\n    }\n    return y;\n  });\n}\n\n/**\n * Base LayerConfig for depthwise and non-depthwise convolutional layers.\n */\nexport declare interface BaseConvLayerArgs extends LayerArgs {\n  /**\n   * The dimensions of the convolution window. If kernelSize is a number, the\n   * convolutional window will be square.\n   */\n  kernelSize: number|number[];\n\n  /**\n   * The strides of the convolution in each dimension. If strides is a number,\n   * strides in both dimensions are equal.\n   *\n   * Specifying any stride value != 1 is incompatible with specifying any\n   * `dilationRate` value != 1.\n   */\n  strides?: number|number[];\n\n  /**\n   * Padding mode.\n   */\n  padding?: PaddingMode;\n\n  /**\n   * Format of the data, which determines the ordering of the dimensions in\n   * the inputs.\n   *\n   * `channels_last` corresponds to inputs with shape\n   *   `(batch, ..., channels)`\n   *\n   *  `channels_first` corresponds to inputs with shape `(batch, channels,\n   * ...)`.\n   *\n   * Defaults to `channels_last`.\n   */\n  dataFormat?: DataFormat;\n\n  /**\n   * The dilation rate to use for the dilated convolution in each dimension.\n   * Should be an integer or array of two or three integers.\n   *\n   * Currently, specifying any `dilationRate` value != 1 is incompatible with\n   * specifying any `strides` value != 1.\n   */\n  dilationRate?: number|[number]|[number, number]|[number, number, number];\n\n  /**\n   * Activation function of the layer.\n   *\n   * If you don't specify the activation, none is applied.\n   */\n  activation?: ActivationIdentifier;\n\n  /**\n   * Whether the layer uses a bias vector. Defaults to `true`.\n   */\n  useBias?: boolean;\n\n  /**\n   * Initializer for the convolutional kernel weights matrix.\n   */\n  kernelInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Initializer for the bias vector.\n   */\n  biasInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Constraint for the convolutional kernel weights.\n   */\n  kernelConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Constraint for the bias vector.\n   */\n  biasConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Regularizer function applied to the kernel weights matrix.\n   */\n  kernelRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Regularizer function applied to the bias vector.\n   */\n  biasRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Regularizer function applied to the activation.\n   */\n  activityRegularizer?: RegularizerIdentifier|Regularizer;\n}\n\n/**\n * LayerConfig for non-depthwise convolutional layers.\n * Applies to non-depthwise convolution of all ranks (e.g, Conv1D, Conv2D,\n * Conv3D).\n */\nexport declare interface ConvLayerArgs extends BaseConvLayerArgs {\n  /**\n   * The dimensionality of the output space (i.e. the number of filters in the\n   * convolution).\n   */\n  filters: number;\n}\n\n/**\n * Abstract convolution layer.\n */\nexport abstract class BaseConv extends Layer {\n  protected readonly rank: number;\n  protected readonly kernelSize: number[];\n  protected readonly strides: number[];\n  protected readonly padding: PaddingMode;\n  protected readonly dataFormat: DataFormat;\n  protected readonly activation: Activation;\n  protected readonly useBias: boolean;\n  protected readonly dilationRate: number[];\n\n  // Bias-related members are here because all convolution subclasses use the\n  // same configuration parmeters to control bias.  Kernel-related members\n  // are in subclass `Conv` because some subclasses use different parameters to\n  // control kernel properties, for instance, `DepthwiseConv2D` uses\n  // `depthwiseInitializer` instead of `kernelInitializer`.\n  protected readonly biasInitializer?: Initializer;\n  protected readonly biasConstraint?: Constraint;\n  protected readonly biasRegularizer?: Regularizer;\n\n  protected bias: LayerVariable = null;\n\n  readonly DEFAULT_KERNEL_INITIALIZER: InitializerIdentifier = 'glorotNormal';\n  readonly DEFAULT_BIAS_INITIALIZER: InitializerIdentifier = 'zeros';\n\n  constructor(rank: number, args: BaseConvLayerArgs) {\n    super(args as LayerArgs);\n    BaseConv.verifyArgs(args);\n    this.rank = rank;\n    generic_utils.assertPositiveInteger(this.rank, 'rank');\n    if (this.rank !== 1 && this.rank !== 2 && this.rank !== 3) {\n      throw new NotImplementedError(\n          `Convolution layer for rank other than 1, 2, or 3 (${\n              this.rank}) is ` +\n          `not implemented yet.`);\n    }\n    this.kernelSize = normalizeArray(args.kernelSize, rank, 'kernelSize');\n    this.strides = normalizeArray(\n        args.strides == null ? 1 : args.strides, rank, 'strides');\n    this.padding = args.padding == null ? 'valid' : args.padding;\n    checkPaddingMode(this.padding);\n    this.dataFormat =\n        args.dataFormat == null ? 'channelsLast' : args.dataFormat;\n    checkDataFormat(this.dataFormat);\n    this.activation = getActivation(args.activation);\n    this.useBias = args.useBias == null ? true : args.useBias;\n    this.biasInitializer =\n        getInitializer(args.biasInitializer || this.DEFAULT_BIAS_INITIALIZER);\n    this.biasConstraint = getConstraint(args.biasConstraint);\n    this.biasRegularizer = getRegularizer(args.biasRegularizer);\n    this.activityRegularizer = getRegularizer(args.activityRegularizer);\n    this.dilationRate = normalizeArray(\n        args.dilationRate == null ? 1 : args.dilationRate, rank,\n        'dilationRate');\n    if (this.rank === 1 &&\n        (Array.isArray(this.dilationRate) && this.dilationRate.length !== 1)) {\n      throw new ValueError(\n          `dilationRate must be a number or an array of a single number ` +\n          `for 1D convolution, but received ` +\n          `${JSON.stringify(this.dilationRate)}`);\n    } else if (this.rank === 2) {\n      if (typeof this.dilationRate === 'number') {\n        this.dilationRate = [this.dilationRate, this.dilationRate];\n      } else if (this.dilationRate.length !== 2) {\n        throw new ValueError(\n            `dilationRate must be a number or array of two numbers for 2D ` +\n            `convolution, but received ${JSON.stringify(this.dilationRate)}`);\n      }\n    } else if (this.rank === 3) {\n      if (typeof this.dilationRate === 'number') {\n        this.dilationRate =\n            [this.dilationRate, this.dilationRate, this.dilationRate];\n      } else if (this.dilationRate.length !== 3) {\n        throw new ValueError(\n            `dilationRate must be a number or array of three numbers for 3D ` +\n            `convolution, but received ${JSON.stringify(this.dilationRate)}`);\n      }\n    }\n  }\n\n  protected static verifyArgs(args: BaseConvLayerArgs) {\n    // Check config.kernelSize type and shape.\n    generic_utils.assert(\n        'kernelSize' in args, `required key 'kernelSize' not in config`);\n    if (typeof args.kernelSize !== 'number' &&\n        !generic_utils.checkArrayTypeAndLength(\n            args.kernelSize, 'number', 1, 3)) {\n      throw new ValueError(\n          `BaseConv expects config.kernelSize to be number or number[] with ` +\n          `length 1, 2, or 3, but received ${\n              JSON.stringify(args.kernelSize)}.`);\n    }\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      kernelSize: this.kernelSize,\n      strides: this.strides,\n      padding: this.padding,\n      dataFormat: this.dataFormat,\n      dilationRate: this.dilationRate,\n      activation: serializeActivation(this.activation),\n      useBias: this.useBias,\n      biasInitializer: serializeInitializer(this.biasInitializer),\n      biasRegularizer: serializeRegularizer(this.biasRegularizer),\n      activityRegularizer: serializeRegularizer(this.activityRegularizer),\n      biasConstraint: serializeConstraint(this.biasConstraint)\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\n\n/**\n * Abstract nD convolution layer.  Ancestor of convolution layers which reduce\n * across channels, i.e., Conv1D and Conv2D, but not DepthwiseConv2D.\n */\nexport abstract class Conv extends BaseConv {\n  protected readonly filters: number;\n\n  protected kernel: LayerVariable = null;\n\n  // Bias-related properties are stored in the superclass `BaseConv` because all\n  // convolution subclasses use the same configuration parameters to control\n  // bias. Kernel-related properties are defined here rather than in the\n  // superclass because some convolution subclasses use different names and\n  // configuration parameters for their internal kernel state.\n  protected readonly kernelInitializer?: Initializer;\n  protected readonly kernelConstraint?: Constraint;\n  protected readonly kernelRegularizer?: Regularizer;\n\n  constructor(rank: number, args: ConvLayerArgs) {\n    super(rank, args as BaseConvLayerArgs);\n    Conv.verifyArgs(args);\n    this.filters = args.filters;\n    generic_utils.assertPositiveInteger(this.filters, 'filters');\n    this.kernelInitializer = getInitializer(\n        args.kernelInitializer || this.DEFAULT_KERNEL_INITIALIZER);\n    this.kernelConstraint = getConstraint(args.kernelConstraint);\n    this.kernelRegularizer = getRegularizer(args.kernelRegularizer);\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n    const channelAxis =\n        this.dataFormat === 'channelsFirst' ? 1 : inputShape.length - 1;\n    if (inputShape[channelAxis] == null) {\n      throw new ValueError(\n          `The channel dimension of the input should be defined. ` +\n          `Found ${inputShape[channelAxis]}`);\n    }\n    const inputDim = inputShape[channelAxis];\n\n    const kernelShape = this.kernelSize.concat([inputDim, this.filters]);\n\n    this.kernel = this.addWeight(\n        'kernel', kernelShape, null, this.kernelInitializer,\n        this.kernelRegularizer, true, this.kernelConstraint);\n    if (this.useBias) {\n      this.bias = this.addWeight(\n          'bias', [this.filters], null, this.biasInitializer,\n          this.biasRegularizer, true, this.biasConstraint);\n    }\n\n    this.inputSpec = [{ndim: this.rank + 2, axes: {[channelAxis]: inputDim}}];\n    this.built = true;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      inputs = getExactlyOneTensor(inputs);\n      let outputs: Tensor;\n      const biasValue = this.bias == null ? null : this.bias.read();\n      const fusedActivationName = generic_utils.mapActivationToFusedKernel(\n                                            this.activation.getClassName());\n\n      if (fusedActivationName != null && this.rank === 2) {\n        outputs = conv2dWithBiasActivation(\n            inputs, this.kernel.read(), biasValue, this.strides, this.padding,\n            this.dataFormat, this.dilationRate as [number, number],\n            fusedActivationName);\n      } else {\n        if (this.rank === 1) {\n          outputs = conv1dWithBias(\n              inputs, this.kernel.read(), biasValue, this.strides[0],\n              this.padding, this.dataFormat, this.dilationRate[0]);\n        } else if (this.rank === 2) {\n          // TODO(cais): Move up to constructor.\n          outputs = conv2dWithBiasActivation(\n              inputs, this.kernel.read(), biasValue, this.strides, this.padding,\n              this.dataFormat, this.dilationRate as [number, number]);\n        } else if (this.rank === 3) {\n          outputs = conv3dWithBias(\n              inputs, this.kernel.read(), biasValue, this.strides, this.padding,\n              this.dataFormat, this.dilationRate as [number, number, number]);\n        } else {\n          throw new NotImplementedError(\n              'convolutions greater than 3D are not implemented yet.');\n        }\n\n        if (this.activation != null) {\n          outputs = this.activation.apply(outputs);\n        }\n      }\n\n      return outputs;\n    });\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    const newSpace: number[] = [];\n    const space = (this.dataFormat === 'channelsLast') ?\n        inputShape.slice(1, inputShape.length - 1) :\n        inputShape.slice(2);\n    for (let i = 0; i < space.length; ++i) {\n      const newDim = convOutputLength(\n          space[i], this.kernelSize[i], this.padding, this.strides[i],\n          typeof this.dilationRate === 'number' ? this.dilationRate :\n                                                  this.dilationRate[i]);\n      newSpace.push(newDim);\n    }\n\n    let outputShape = [inputShape[0]];\n    if (this.dataFormat === 'channelsLast') {\n      outputShape = outputShape.concat(newSpace);\n      outputShape.push(this.filters);\n    } else {\n      outputShape.push(this.filters);\n      outputShape = outputShape.concat(newSpace);\n    }\n    return outputShape;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {\n      filters: this.filters,\n      kernelInitializer: serializeInitializer(this.kernelInitializer),\n      kernelRegularizer: serializeRegularizer(this.kernelRegularizer),\n      kernelConstraint: serializeConstraint(this.kernelConstraint)\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n\n  protected static verifyArgs(args: ConvLayerArgs) {\n    // Check config.filters type, shape, and value.\n    if (!('filters' in args) || typeof args.filters !== 'number' ||\n        args.filters < 1) {\n      throw new ValueError(\n          `Convolution layer expected config.filters to be a 'number' > 0 ` +\n          `but got ${JSON.stringify(args.filters)}`);\n    }\n  }\n}\n\nexport class Conv2D extends Conv {\n  /** @nocollapse */\n  static className = 'Conv2D';\n  constructor(args: ConvLayerArgs) {\n    super(2, args);\n    Conv2D.verifyArgs(args);\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = super.getConfig();\n    delete config['rank'];\n    return config;\n  }\n\n  protected static verifyArgs(args: ConvLayerArgs) {\n    // config.kernelSize must be a number or array of numbers.\n    if ((typeof args.kernelSize !== 'number') &&\n        !generic_utils.checkArrayTypeAndLength(\n            args.kernelSize, 'number', 1, 2)) {\n      throw new ValueError(\n          `Conv2D expects config.kernelSize to be number or number[] with ` +\n          `length 1 or 2, but received ${JSON.stringify(args.kernelSize)}.`);\n    }\n  }\n}\nserialization.registerClass(Conv2D);\n\nexport class Conv3D extends Conv {\n  /** @nocollapse */\n  static className = 'Conv3D';\n  constructor(args: ConvLayerArgs) {\n    super(3, args);\n    Conv3D.verifyArgs(args);\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = super.getConfig();\n    delete config['rank'];\n    return config;\n  }\n\n  protected static verifyArgs(args: ConvLayerArgs) {\n    // config.kernelSize must be a number or array of numbers.\n    if (typeof args.kernelSize !== 'number') {\n      if (!(Array.isArray(args.kernelSize) &&\n            (args.kernelSize.length === 1 || args.kernelSize.length === 3))) {\n        throw new ValueError(\n            `Conv3D expects config.kernelSize to be number or` +\n            ` [number, number, number], but received ${\n                JSON.stringify(args.kernelSize)}.`);\n      }\n    }\n  }\n}\nserialization.registerClass(Conv3D);\n\nexport class Conv2DTranspose extends Conv2D {\n  /** @nocollapse */\n  static className = 'Conv2DTranspose';\n  inputSpec: InputSpec[];\n\n  constructor(args: ConvLayerArgs) {\n    super(args);\n    this.inputSpec = [new InputSpec({ndim: 4})];\n\n    if (this.padding !== 'same' && this.padding !== 'valid') {\n      throw new ValueError(\n          `Conv2DTranspose currently supports only padding modes 'same' ` +\n          `and 'valid', but received padding mode ${this.padding}`);\n    }\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n\n    if (inputShape.length !== 4) {\n      throw new ValueError(\n          'Input should have rank 4; Received input shape: ' +\n          JSON.stringify(inputShape));\n    }\n\n    const channelAxis =\n        this.dataFormat === 'channelsFirst' ? 1 : inputShape.length - 1;\n    if (inputShape[channelAxis] == null) {\n      throw new ValueError(\n          'The channel dimension of the inputs should be defined. ' +\n          'Found `None`.');\n    }\n    const inputDim = inputShape[channelAxis];\n    const kernelShape = this.kernelSize.concat([this.filters, inputDim]);\n\n    this.kernel = this.addWeight(\n        'kernel', kernelShape, 'float32', this.kernelInitializer,\n        this.kernelRegularizer, true, this.kernelConstraint);\n    if (this.useBias) {\n      this.bias = this.addWeight(\n          'bias', [this.filters], 'float32', this.biasInitializer,\n          this.biasRegularizer, true, this.biasConstraint);\n    }\n\n    // Set input spec.\n    this.inputSpec =\n        [new InputSpec({ndim: 4, axes: {[channelAxis]: inputDim}})];\n    this.built = true;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tfc.tidy(() => {\n      let input = getExactlyOneTensor(inputs);\n      if (input.shape.length !== 4) {\n        throw new ValueError(\n            `Conv2DTranspose.call() expects input tensor to be rank-4, but ` +\n            `received a tensor of rank-${input.shape.length}`);\n      }\n\n      const inputShape = input.shape;\n      const batchSize = inputShape[0];\n\n      let hAxis: number;\n      let wAxis: number;\n      if (this.dataFormat === 'channelsFirst') {\n        hAxis = 2;\n        wAxis = 3;\n      } else {\n        hAxis = 1;\n        wAxis = 2;\n      }\n\n      const height = inputShape[hAxis];\n      const width = inputShape[wAxis];\n      const kernelH = this.kernelSize[0];\n      const kernelW = this.kernelSize[1];\n      const strideH = this.strides[0];\n      const strideW = this.strides[1];\n\n      // Infer the dynamic output shape.\n      const outHeight = deconvLength(height, strideH, kernelH, this.padding);\n      const outWidth = deconvLength(width, strideW, kernelW, this.padding);\n\n      // Porting Note: We don't branch based on `this.dataFormat` here,\n      // because\n      //   the tjfs-core function `conv2dTranspose` called below always\n      //   assumes channelsLast.\n      const outputShape: [number, number, number, number] =\n          [batchSize, outHeight, outWidth, this.filters];\n\n      if (this.dataFormat !== 'channelsLast') {\n        input = tfc.transpose(input, [0, 2, 3, 1]);\n      }\n      let outputs = tfc.conv2dTranspose(\n          input as Tensor4D, this.kernel.read() as Tensor4D, outputShape,\n          this.strides as [number, number], this.padding as 'same' | 'valid');\n      if (this.dataFormat !== 'channelsLast') {\n        outputs = tfc.transpose(outputs, [0, 3, 1, 2]);\n      }\n\n      if (this.bias != null) {\n        outputs =\n            K.biasAdd(outputs, this.bias.read(), this.dataFormat) as Tensor4D;\n      }\n      if (this.activation != null) {\n        outputs = this.activation.apply(outputs) as Tensor4D;\n      }\n      return outputs;\n    });\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    const outputShape = inputShape.slice();\n\n    let channelAxis: number;\n    let heightAxis: number;\n    let widthAxis: number;\n    if (this.dataFormat === 'channelsFirst') {\n      channelAxis = 1;\n      heightAxis = 2;\n      widthAxis = 3;\n    } else {\n      channelAxis = 3;\n      heightAxis = 1;\n      widthAxis = 2;\n    }\n\n    const kernelH = this.kernelSize[0];\n    const kernelW = this.kernelSize[1];\n    const strideH = this.strides[0];\n    const strideW = this.strides[1];\n\n    outputShape[channelAxis] = this.filters;\n    outputShape[heightAxis] =\n        deconvLength(outputShape[heightAxis], strideH, kernelH, this.padding);\n    outputShape[widthAxis] =\n        deconvLength(outputShape[widthAxis], strideW, kernelW, this.padding);\n    return outputShape;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = super.getConfig();\n    delete config['dilationRate'];\n    return config;\n  }\n}\nserialization.registerClass(Conv2DTranspose);\n\nexport declare interface SeparableConvLayerArgs extends ConvLayerArgs {\n  /**\n   * The number of depthwise convolution output channels for each input\n   * channel.\n   * The total number of depthwise convolution output channels will be equal\n   * to `filtersIn * depthMultiplier`. Default: 1.\n   */\n  depthMultiplier?: number;\n\n  /**\n   * Initializer for the depthwise kernel matrix.\n   */\n  depthwiseInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Initializer for the pointwise kernel matrix.\n   */\n  pointwiseInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Regularizer function applied to the depthwise kernel matrix.\n   */\n  depthwiseRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Regularizer function applied to the pointwise kernel matrix.\n   */\n  pointwiseRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Constraint function applied to the depthwise kernel matrix.\n   */\n  depthwiseConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Constraint function applied to the pointwise kernel matrix.\n   */\n  pointwiseConstraint?: ConstraintIdentifier|Constraint;\n}\n\nexport class SeparableConv extends Conv {\n  /** @nocollapse */\n  static className = 'SeparableConv';\n\n  readonly depthMultiplier: number;\n\n  protected readonly depthwiseInitializer?: Initializer;\n  protected readonly depthwiseRegularizer?: Regularizer;\n  protected readonly depthwiseConstraint?: Constraint;\n  protected readonly pointwiseInitializer?: Initializer;\n  protected readonly pointwiseRegularizer?: Regularizer;\n  protected readonly pointwiseConstraint?: Constraint;\n\n  readonly DEFAULT_DEPTHWISE_INITIALIZER: InitializerIdentifier =\n      'glorotUniform';\n  readonly DEFAULT_POINTWISE_INITIALIZER: InitializerIdentifier =\n      'glorotUniform';\n\n  protected depthwiseKernel: LayerVariable = null;\n  protected pointwiseKernel: LayerVariable = null;\n\n  constructor(rank: number, config?: SeparableConvLayerArgs) {\n    super(rank, config);\n\n    if (config.filters == null) {\n      throw new ValueError(\n          'The `filters` configuration field is required by SeparableConv, ' +\n          'but is unspecified.');\n    }\n    if (config.kernelInitializer != null || config.kernelRegularizer != null ||\n        config.kernelConstraint != null) {\n      throw new ValueError(\n          'Fields kernelInitializer, kernelRegularizer and kernelConstraint ' +\n          'are invalid for SeparableConv2D. Use depthwiseInitializer, ' +\n          'depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, ' +\n          'pointwiseRegularizer and pointwiseConstraint instead.');\n    }\n    if (config.padding != null && config.padding !== 'same' &&\n        config.padding !== 'valid') {\n      throw new ValueError(\n          `SeparableConv${this.rank}D supports only padding modes: ` +\n          `'same' and 'valid', but received ${JSON.stringify(config.padding)}`);\n    }\n\n    this.depthMultiplier =\n        config.depthMultiplier == null ? 1 : config.depthMultiplier;\n    this.depthwiseInitializer = getInitializer(\n        config.depthwiseInitializer || this.DEFAULT_DEPTHWISE_INITIALIZER);\n    this.depthwiseRegularizer = getRegularizer(config.depthwiseRegularizer);\n    this.depthwiseConstraint = getConstraint(config.depthwiseConstraint);\n    this.pointwiseInitializer = getInitializer(\n        config.depthwiseInitializer || this.DEFAULT_POINTWISE_INITIALIZER);\n    this.pointwiseRegularizer = getRegularizer(config.pointwiseRegularizer);\n    this.pointwiseConstraint = getConstraint(config.pointwiseConstraint);\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n    if (inputShape.length < this.rank + 2) {\n      throw new ValueError(\n          `Inputs to SeparableConv${this.rank}D should have rank ` +\n          `${this.rank + 2}, but received input shape: ` +\n          `${JSON.stringify(inputShape)}`);\n    }\n    const channelAxis =\n        this.dataFormat === 'channelsFirst' ? 1 : inputShape.length - 1;\n    if (inputShape[channelAxis] == null || inputShape[channelAxis] < 0) {\n      throw new ValueError(\n          `The channel dimension of the inputs should be defined, ` +\n          `but found ${JSON.stringify(inputShape[channelAxis])}`);\n    }\n\n    const inputDim = inputShape[channelAxis];\n    const depthwiseKernelShape =\n        this.kernelSize.concat([inputDim, this.depthMultiplier]);\n    const pointwiseKernelShape = [];\n    for (let i = 0; i < this.rank; ++i) {\n      pointwiseKernelShape.push(1);\n    }\n    pointwiseKernelShape.push(inputDim * this.depthMultiplier, this.filters);\n\n    const trainable = true;\n    this.depthwiseKernel = this.addWeight(\n        'depthwise_kernel', depthwiseKernelShape, 'float32',\n        this.depthwiseInitializer, this.depthwiseRegularizer, trainable,\n        this.depthwiseConstraint);\n    this.pointwiseKernel = this.addWeight(\n        'pointwise_kernel', pointwiseKernelShape, 'float32',\n        this.pointwiseInitializer, this.pointwiseRegularizer, trainable,\n        this.pointwiseConstraint);\n    if (this.useBias) {\n      this.bias = this.addWeight(\n          'bias', [this.filters], 'float32', this.biasInitializer,\n          this.biasRegularizer, trainable, this.biasConstraint);\n    } else {\n      this.bias = null;\n    }\n\n    this.inputSpec =\n        [new InputSpec({ndim: this.rank + 2, axes: {[channelAxis]: inputDim}})];\n    this.built = true;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      inputs = getExactlyOneTensor(inputs);\n\n      let output: Tensor;\n      if (this.rank === 1) {\n        throw new NotImplementedError(\n            '1D separable convolution is not implemented yet.');\n      } else if (this.rank === 2) {\n        if (this.dataFormat === 'channelsFirst') {\n          inputs = tfc.transpose(inputs, [0, 2, 3, 1]);  // NCHW -> NHWC.\n        }\n\n        output = tfc.separableConv2d(\n            inputs as Tensor4D, this.depthwiseKernel.read() as Tensor4D,\n            this.pointwiseKernel.read() as Tensor4D,\n            this.strides as [number, number], this.padding as 'same' | 'valid',\n            this.dilationRate as [number, number], 'NHWC');\n      }\n\n      if (this.useBias) {\n        output = K.biasAdd(output, this.bias.read(), this.dataFormat);\n      }\n      if (this.activation != null) {\n        output = this.activation.apply(output);\n      }\n\n      if (this.dataFormat === 'channelsFirst') {\n        output = tfc.transpose(output, [0, 3, 1, 2]);  // NHWC -> NCHW.\n      }\n      return output;\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = super.getConfig();\n    delete config['rank'];\n    delete config['kernelInitializer'];\n    delete config['kernelRegularizer'];\n    delete config['kernelConstraint'];\n    config['depthwiseInitializer'] =\n        serializeInitializer(this.depthwiseInitializer);\n    config['pointwiseInitializer'] =\n        serializeInitializer(this.pointwiseInitializer);\n    config['depthwiseRegularizer'] =\n        serializeRegularizer(this.depthwiseRegularizer);\n    config['pointwiseRegularizer'] =\n        serializeRegularizer(this.pointwiseRegularizer);\n    config['depthwiseConstraint'] =\n        serializeConstraint(this.depthwiseConstraint);\n    config['pointwiseConstraint'] =\n        serializeConstraint(this.pointwiseConstraint);\n    return config;\n  }\n}\n\nexport class SeparableConv2D extends SeparableConv {\n  /** @nocollapse */\n  static className = 'SeparableConv2D';\n  constructor(args?: SeparableConvLayerArgs) {\n    super(2, args);\n  }\n}\nserialization.registerClass(SeparableConv2D);\n\nexport class Conv1D extends Conv {\n  /** @nocollapse */\n  static className = 'Conv1D';\n  constructor(args: ConvLayerArgs) {\n    super(1, args);\n    Conv1D.verifyArgs(args);\n    this.inputSpec = [{ndim: 3}];\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = super.getConfig();\n    delete config['rank'];\n    delete config['dataFormat'];\n    return config;\n  }\n\n  protected static verifyArgs(args: ConvLayerArgs) {\n    // config.kernelSize must be a number or array of numbers.\n    if (typeof args.kernelSize !== 'number' &&\n        !generic_utils.checkArrayTypeAndLength(\n            args.kernelSize, 'number', 1, 1)) {\n      throw new ValueError(\n          `Conv1D expects config.kernelSize to be number or number[] with ` +\n          `length 1, but received ${JSON.stringify(args.kernelSize)}.`);\n    }\n  }\n}\nserialization.registerClass(Conv1D);\n\nexport declare interface Cropping2DLayerArgs extends LayerArgs {\n  /**\n   * Dimension of the cropping along the width and the height.\n   * - If integer: the same symmetric cropping\n   *  is applied to width and height.\n   * - If list of 2 integers:\n   *   interpreted as two different\n   *   symmetric cropping values for height and width:\n   *   `[symmetric_height_crop, symmetric_width_crop]`.\n   * - If a list of 2 list of 2 integers:\n   *   interpreted as\n   *   `[[top_crop, bottom_crop], [left_crop, right_crop]]`\n   */\n  cropping: number|[number, number]|[[number, number], [number, number]];\n\n  /**\n   * Format of the data, which determines the ordering of the dimensions in\n   * the inputs.\n   *\n   * `channels_last` corresponds to inputs with shape\n   *   `(batch, ..., channels)`\n   *\n   *  `channels_first` corresponds to inputs with shape `(batch, channels,\n   * ...)`.\n   *\n   * Defaults to `channels_last`.\n   */\n  dataFormat?: DataFormat;\n}\n\nexport class Cropping2D extends Layer {\n  /** @nocollapse */\n  static className = 'Cropping2D';\n  protected readonly cropping: [[number, number], [number, number]];\n  protected readonly dataFormat: DataFormat;\n\n  constructor(args: Cropping2DLayerArgs) {\n    super(args);\n    if (typeof args.cropping === 'number') {\n      this.cropping =\n          [[args.cropping, args.cropping], [args.cropping, args.cropping]];\n    } else if (typeof args.cropping[0] === 'number') {\n      this.cropping = [\n        [args.cropping[0], args.cropping[0]],\n        [args.cropping[1] as number, args.cropping[1] as number]\n      ];\n    } else {\n      this.cropping = args.cropping as [[number, number], [number, number]];\n    }\n    this.dataFormat =\n        args.dataFormat === undefined ? 'channelsLast' : args.dataFormat;\n    this.inputSpec = [{ndim: 4}];\n  }\n\n  computeOutputShape(inputShape: Shape): Shape {\n    if (this.dataFormat === 'channelsFirst') {\n      return [\n        inputShape[0], inputShape[1],\n        inputShape[2] - this.cropping[0][0] - this.cropping[0][1],\n        inputShape[3] - this.cropping[1][0] - this.cropping[1][1]\n      ];\n    } else {\n      return [\n        inputShape[0],\n        inputShape[1] - this.cropping[0][0] - this.cropping[0][1],\n        inputShape[2] - this.cropping[1][0] - this.cropping[1][1], inputShape[3]\n      ];\n    }\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      inputs = getExactlyOneTensor(inputs);\n\n      if (this.dataFormat === 'channelsLast') {\n        const hSliced = K.sliceAlongAxis(\n            inputs, this.cropping[0][0],\n            inputs.shape[1] - this.cropping[0][0] - this.cropping[0][1], 2);\n        return K.sliceAlongAxis(\n            hSliced, this.cropping[1][0],\n            inputs.shape[2] - this.cropping[1][1] - this.cropping[1][0], 3);\n      } else {\n        const hSliced = K.sliceAlongAxis(\n            inputs, this.cropping[0][0],\n            inputs.shape[2] - this.cropping[0][0] - this.cropping[0][1], 3);\n        return K.sliceAlongAxis(\n            hSliced, this.cropping[1][0],\n            inputs.shape[3] - this.cropping[1][1] - this.cropping[1][0], 4);\n      }\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {cropping: this.cropping, dataFormat: this.dataFormat};\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(Cropping2D);\n\nexport declare interface UpSampling2DLayerArgs extends LayerArgs {\n  /**\n   * The upsampling factors for rows and columns.\n   *\n   * Defaults to `[2, 2]`.\n   */\n  size?: number[];\n  /**\n   * Format of the data, which determines the ordering of the dimensions in\n   * the inputs.\n   *\n   * `\"channelsLast\"` corresponds to inputs with shape\n   *   `[batch, ..., channels]`\n   *\n   *  `\"channelsFirst\"` corresponds to inputs with shape `[batch, channels,\n   * ...]`.\n   *\n   * Defaults to `\"channelsLast\"`.\n   */\n  dataFormat?: DataFormat;\n}\n\nexport class UpSampling2D extends Layer {\n  /** @nocollapse */\n  static className = 'UpSampling2D';\n  protected readonly DEFAULT_SIZE = [2, 2];\n  protected readonly size: number[];\n  protected readonly dataFormat: DataFormat;\n\n  constructor(args: UpSampling2DLayerArgs) {\n    super(args);\n    this.inputSpec = [{ndim: 4}];\n    this.size = args.size == null ? this.DEFAULT_SIZE : args.size;\n    this.dataFormat =\n        args.dataFormat == null ? 'channelsLast' : args.dataFormat;\n  }\n\n  computeOutputShape(inputShape: Shape): Shape {\n    if (this.dataFormat === 'channelsFirst') {\n      const height =\n          inputShape[2] == null ? null : this.size[0] * inputShape[2];\n      const width = inputShape[3] == null ? null : this.size[1] * inputShape[3];\n      return [inputShape[0], inputShape[1], height, width];\n    } else {\n      const height =\n          inputShape[1] == null ? null : this.size[0] * inputShape[1];\n      const width = inputShape[2] == null ? null : this.size[1] * inputShape[2];\n      return [inputShape[0], height, width, inputShape[3]];\n    }\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tfc.tidy(() => {\n      let input = getExactlyOneTensor(inputs) as Tensor4D;\n      const inputShape = input.shape;\n\n      if (this.dataFormat === 'channelsFirst') {\n        input = tfc.transpose(input, [0, 2, 3, 1]);\n        const height = this.size[0] * inputShape[2];\n        const width = this.size[1] * inputShape[3];\n        const resized = input.resizeNearestNeighbor([height, width]);\n        return tfc.transpose(resized, [0, 3, 1, 2]);\n      } else {\n        const height = this.size[0] * inputShape[1];\n        const width = this.size[1] * inputShape[2];\n        return input.resizeNearestNeighbor([height, width]);\n      }\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {size: this.size, dataFormat: this.dataFormat};\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(UpSampling2D);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * TensorFlow.js Layers: Depthwise Convolutional Layers\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {serialization, Tensor, Tensor4D, tidy} from '@tensorflow/tfjs-core';\n\nimport {imageDataFormat} from '../backend/common';\nimport * as K from '../backend/tfjs_backend';\nimport {checkDataFormat} from '../common';\nimport {Constraint, ConstraintIdentifier, getConstraint, serializeConstraint} from '../constraints';\nimport {ValueError} from '../errors';\nimport {getInitializer, Initializer, InitializerIdentifier, serializeInitializer} from '../initializers';\nimport {DataFormat, Shape} from '../keras_format/common';\nimport {getRegularizer, Regularizer, RegularizerIdentifier, serializeRegularizer} from '../regularizers';\nimport {Kwargs} from '../types';\nimport {convOutputLength} from '../utils/conv_utils';\nimport {getExactlyOneShape, getExactlyOneTensor} from '../utils/types_utils';\nimport {LayerVariable} from '../variables';\n\nimport {BaseConv, BaseConvLayerArgs, ConvLayerArgs, preprocessConv2DInput} from './convolutional';\n\n/**\n * 2D convolution with separable filters.\n * @param x Input tensor.\n * @param depthwiseKernel Convolution kernel for depthwise convolution.\n * @param strides Strides (Array of two integers).\n * @param padding Padding model.\n * @param dataFormat Data format.\n * @param dilationRate Array of two integers, dilation rates for the separable\n *   convolution.\n * @returns Output tensor.\n * @throws ValueError If depthwiseKernel is not a 4D array.\n */\nexport function depthwiseConv2d(\n    x: Tensor, depthwiseKernel: Tensor, strides: [number, number] = [1, 1],\n    padding = 'valid', dataFormat?: DataFormat,\n    dilationRate?: [number, number]): Tensor {\n  return tidy(() => {\n    if (dataFormat == null) {\n      dataFormat = imageDataFormat();\n    }\n    checkDataFormat(dataFormat);\n    let y = preprocessConv2DInput(x, dataFormat);\n    if (x.rank !== 4) {\n      throw new ValueError(\n          `Input for depthwiseConv2d is required to be 4-D, but is instead ` +\n          `${x.rank}-D`);\n    }\n    if (depthwiseKernel.rank !== 4) {\n      throw new ValueError(\n          `depthwiseKernel is required to be 4-D, but is instead ` +\n          `${depthwiseKernel.rank}-D`);\n    }\n    y = tfc.depthwiseConv2d(\n        y as Tensor4D, depthwiseKernel as Tensor4D, strides,\n        padding === 'same' ? 'same' : 'valid', 'NHWC', dilationRate);\n    if (dataFormat === 'channelsFirst') {\n      y = tfc.transpose(y, [0, 3, 1, 2]);\n    }\n    return y;\n  });\n}\n\nexport declare interface DepthwiseConv2DLayerArgs extends BaseConvLayerArgs {\n  /**\n   * An integer or Array of 2 integers, specifying the width and height of the\n   * 2D convolution window. Can be a single integer to specify the same value\n   * for all spatial dimensions.\n   */\n  kernelSize: number|[number, number];\n\n  /**\n   * The number of depthwise convolution output channels for each input\n   * channel.\n   * The total number of depthwise convolution output channels will be equal to\n   * `filtersIn * depthMultiplier`.\n   * Default: 1.\n   */\n  depthMultiplier?: number;\n\n  /**\n   * Initializer for the depthwise kernel matrix.\n   * Default: GlorotNormal.\n   */\n  depthwiseInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Constraint for the depthwise kernel matrix.\n   */\n  depthwiseConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Regulzarizer function for the depthwise kernel matrix.\n   */\n  depthwiseRegularizer?: RegularizerIdentifier|Regularizer;\n}\n\nexport class DepthwiseConv2D extends BaseConv {\n  /** @nocollapse */\n  static className = 'DepthwiseConv2D';\n  private readonly depthMultiplier: number;\n  private readonly depthwiseInitializer: Initializer;\n  private readonly depthwiseConstraint: Constraint;\n  private readonly depthwiseRegularizer: Regularizer;\n\n  private depthwiseKernel: LayerVariable = null;\n\n  constructor(args: DepthwiseConv2DLayerArgs) {\n    super(2, args as ConvLayerArgs);\n    this.depthMultiplier =\n        args.depthMultiplier == null ? 1 : args.depthMultiplier;\n    this.depthwiseInitializer = getInitializer(\n        args.depthwiseInitializer || this.DEFAULT_KERNEL_INITIALIZER);\n    this.depthwiseConstraint = getConstraint(args.depthwiseConstraint);\n    this.depthwiseRegularizer = getRegularizer(args.depthwiseRegularizer);\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n    if (inputShape.length < 4) {\n      throw new ValueError(\n          `Inputs to DepthwiseConv2D should have rank 4. ` +\n          `Received input shape: ${JSON.stringify(inputShape)}.`);\n    }\n    const channelAxis = this.dataFormat === 'channelsFirst' ? 1 : 3;\n    if (inputShape[channelAxis] == null || inputShape[channelAxis] < 0) {\n      throw new ValueError(\n          'The channel dimension of the inputs to DepthwiseConv2D should ' +\n          `be defined, but is not (${inputShape[channelAxis]}).`);\n    }\n    const inputDim = inputShape[channelAxis];\n    const depthwiseKernelShape: Shape = [\n      this.kernelSize[0], this.kernelSize[1], inputDim, this.depthMultiplier\n    ];\n\n    this.depthwiseKernel = this.addWeight(\n        'depthwise_kernel', depthwiseKernelShape, null,\n        this.depthwiseInitializer, this.depthwiseRegularizer, true,\n        this.depthwiseConstraint);\n    if (this.useBias) {\n      this.bias = this.addWeight(\n          'bias', [inputDim * this.depthMultiplier], null, this.biasInitializer,\n          this.biasRegularizer, true, this.biasConstraint);\n    } else {\n      this.bias = null;\n    }\n    this.built = true;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      inputs = getExactlyOneTensor(inputs);\n      let outputs = depthwiseConv2d(\n          inputs, this.depthwiseKernel.read(), this.strides as [number, number],\n          this.padding, this.dataFormat, null);\n      // TODO(cais): Add support for dilation.\n      if (this.useBias) {\n        outputs = K.biasAdd(outputs, this.bias.read(), this.dataFormat);\n      }\n      if (this.activation != null) {\n        outputs = this.activation.apply(outputs);\n      }\n      return outputs;\n    });\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    const rows =\n        this.dataFormat === 'channelsFirst' ? inputShape[2] : inputShape[1];\n    const cols =\n        this.dataFormat === 'channelsFirst' ? inputShape[3] : inputShape[2];\n    const outFilters = this.dataFormat === 'channelsFirst' ?\n        inputShape[1] * this.depthMultiplier :\n        inputShape[3] * this.depthMultiplier;\n    const outRows = convOutputLength(\n        rows, this.kernelSize[0], this.padding, this.strides[0]);\n    const outCols = convOutputLength(\n        cols, this.kernelSize[1], this.padding, this.strides[1]);\n    if (this.dataFormat === 'channelsFirst') {\n      return [inputShape[0], outFilters, outRows, outCols];\n    } else {\n      // In this case, assume 'channelsLast'.\n      return [inputShape[0], outRows, outCols, outFilters];\n    }\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = super.getConfig();\n    config['depthMultiplier'] = this.depthMultiplier;\n    config['depthwiseInitializer'] =\n        serializeInitializer(this.depthwiseInitializer);\n    config['depthwiseRegularizer'] =\n        serializeRegularizer(this.depthwiseRegularizer);\n    config['depthwiseConstraint'] =\n        serializeConstraint(this.depthwiseRegularizer);\n    return config;\n  }\n}\nserialization.registerClass(DepthwiseConv2D);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * TensorFlow.js Layers: Basic Layers.\n */\n\nimport {any, notEqual, serialization, Tensor, tidy, transpose, util} from '@tensorflow/tfjs-core';\n\nimport {Activation as ActivationFn, getActivation, serializeActivation} from '../activations';\nimport * as K from '../backend/tfjs_backend';\nimport {Constraint, ConstraintIdentifier, getConstraint, serializeConstraint} from '../constraints';\nimport {DisposeResult, InputSpec, Layer, LayerArgs} from '../engine/topology';\nimport {ValueError} from '../errors';\nimport {getInitializer, Initializer, InitializerIdentifier, serializeInitializer} from '../initializers';\nimport {ActivationIdentifier} from '../keras_format/activation_config';\nimport {DataFormat, Shape} from '../keras_format/common';\nimport {LayerConfig} from '../keras_format/topology_config';\nimport {getRegularizer, Regularizer, RegularizerIdentifier, serializeRegularizer} from '../regularizers';\nimport {Kwargs} from '../types';\nimport {assertPositiveInteger, mapActivationToFusedKernel} from '../utils/generic_utils';\nimport {arrayProd, range} from '../utils/math_utils';\nimport {getExactlyOneShape, getExactlyOneTensor} from '../utils/types_utils';\nimport {LayerVariable} from '../variables';\n\nexport declare interface DropoutLayerArgs extends LayerArgs {\n  /** Float between 0 and 1. Fraction of the input units to drop. */\n  rate: number;\n\n  /**\n   * Integer array representing the shape of the binary dropout mask that will\n   * be multiplied with the input.\n   *\n   * For instance, if your inputs have shape `(batchSize, timesteps, features)`\n   * and you want the dropout mask to be the same for all timesteps, you can use\n   * `noise_shape=(batch_size, 1, features)`.\n   */\n  noiseShape?: number[];\n\n  /** An integer to use as random seed. */\n  seed?: number;\n}\n\nexport class Dropout extends Layer {\n  /** @nocollapse */\n  static className = 'Dropout';\n  private readonly rate: number;\n  private readonly noiseShape: number[];\n  private readonly seed: number;\n\n  constructor(args: DropoutLayerArgs) {\n    super(args);\n    this.rate = Math.max(Math.min(args.rate, 1), 0);\n    // So that the scalar doesn't get tidied up between executions.\n    this.noiseShape = args.noiseShape;\n    this.seed = args.seed;\n    this.supportsMasking = true;\n  }\n\n  protected getNoiseShape(input: Tensor): Shape {\n    if (this.noiseShape == null) {\n      return this.noiseShape;\n    }\n    const inputShape = input.shape;\n    const noiseShape: Shape = [];\n    for (let i = 0; i < this.noiseShape.length; ++i) {\n      noiseShape.push(\n          this.noiseShape[i] == null ? inputShape[i] : this.noiseShape[i]);\n    }\n    return noiseShape;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      this.invokeCallHook(inputs, kwargs);\n      const input = getExactlyOneTensor(inputs);\n      if (0 < this.rate && this.rate < 1) {\n        const training =\n            kwargs['training'] == null ? false : kwargs['training'];\n        const noiseShape = this.getNoiseShape(input);\n        const output = K.inTrainPhase(\n            () => K.dropout(input, this.rate, noiseShape, this.seed),\n            () => input, training);\n        return output;\n      }\n      return inputs;\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {\n      rate: this.rate,\n      noiseShape: this.noiseShape,\n      seed: this.seed,\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n\n  dispose(): DisposeResult {\n    return super.dispose();\n  }\n}\nserialization.registerClass(Dropout);\n\nexport declare interface DenseLayerArgs extends LayerArgs {\n  /** Positive integer, dimensionality of the output space. */\n  units: number;\n  /**\n   * Activation function to use.\n   *\n   * If unspecified, no activation is applied.\n   */\n  activation?: ActivationIdentifier;\n  /** Whether to apply a bias. */\n  useBias?: boolean;\n  /**\n   * Initializer for the dense kernel weights matrix.\n   */\n  kernelInitializer?: InitializerIdentifier|Initializer;\n  /**\n   * Initializer for the bias vector.\n   */\n  biasInitializer?: InitializerIdentifier|Initializer;\n  /**\n   * If specified, defines inputShape as `[inputDim]`.\n   */\n  inputDim?: number;\n\n  /**\n   * Constraint for the kernel weights.\n   */\n  kernelConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Constraint for the bias vector.\n   */\n  biasConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Regularizer function applied to the dense kernel weights matrix.\n   */\n  kernelRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Regularizer function applied to the bias vector.\n   */\n  biasRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Regularizer function applied to the activation.\n   */\n  activityRegularizer?: RegularizerIdentifier|Regularizer;\n}\n\nexport interface SpatialDropout1DLayerConfig extends LayerConfig {\n  /** Float between 0 and 1. Fraction of the input units to drop. */\n  rate: number;\n\n  /** An integer to use as random seed. */\n  seed?: number;\n}\n\nexport class SpatialDropout1D extends Dropout {\n  /** @nocollapse */\n  static className = 'SpatialDropout1D';\n\n  constructor(args: SpatialDropout1DLayerConfig) {\n    super(args);\n    this.inputSpec = [{ndim: 3}];\n  }\n\n  protected getNoiseShape(input: Tensor): Shape {\n    const inputShape = input.shape;\n    return [inputShape[0], 1, inputShape[2]];\n  }\n}\nserialization.registerClass(SpatialDropout1D);\n\nexport class Dense extends Layer {\n  /** @nocollapse */\n  static className = 'Dense';\n  private units: number;\n  // Default activation: Linear (none).\n  private activation: ActivationFn = null;\n  private useBias = true;\n  private kernelInitializer: Initializer;\n  private biasInitializer: Initializer;\n  private kernel: LayerVariable = null;\n  private bias: LayerVariable = null;\n\n  readonly DEFAULT_KERNEL_INITIALIZER: InitializerIdentifier = 'glorotNormal';\n  readonly DEFAULT_BIAS_INITIALIZER: InitializerIdentifier = 'zeros';\n  private readonly kernelConstraint?: Constraint;\n  private readonly biasConstraint?: Constraint;\n  private readonly kernelRegularizer?: Regularizer;\n  private readonly biasRegularizer?: Regularizer;\n\n  constructor(args: DenseLayerArgs) {\n    super(args);\n    if (args.batchInputShape == null && args.inputShape == null &&\n        args.inputDim != null) {\n      // This logic is copied from Layer's constructor, since we can't\n      // do exactly what the Python constructor does for Dense().\n      let batchSize: number = null;\n      if (args.batchSize != null) {\n        batchSize = args.batchSize;\n      }\n      this.batchInputShape = [batchSize, args.inputDim];\n    }\n\n    this.units = args.units;\n    assertPositiveInteger(this.units, 'units');\n    this.activation = getActivation(args.activation);\n    if (args.useBias != null) {\n      this.useBias = args.useBias;\n    }\n    this.kernelInitializer = getInitializer(\n        args.kernelInitializer || this.DEFAULT_KERNEL_INITIALIZER);\n    this.biasInitializer =\n        getInitializer(args.biasInitializer || this.DEFAULT_BIAS_INITIALIZER);\n    this.kernelConstraint = getConstraint(args.kernelConstraint);\n    this.biasConstraint = getConstraint(args.biasConstraint);\n    this.kernelRegularizer = getRegularizer(args.kernelRegularizer);\n    this.biasRegularizer = getRegularizer(args.biasRegularizer);\n    this.activityRegularizer = getRegularizer(args.activityRegularizer);\n    this.supportsMasking = true;\n\n    this.inputSpec = [{minNDim: 2}];\n  }\n\n  public build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n    const inputLastDim = inputShape[inputShape.length - 1];\n    if (this.kernel == null) {\n      this.kernel = this.addWeight(\n          'kernel', [inputLastDim, this.units], null, this.kernelInitializer,\n          this.kernelRegularizer, true, this.kernelConstraint);\n      if (this.useBias) {\n        this.bias = this.addWeight(\n            'bias', [this.units], null, this.biasInitializer,\n            this.biasRegularizer, true, this.biasConstraint);\n      }\n    }\n\n    this.inputSpec = [{minNDim: 2, axes: {[-1]: inputLastDim}}];\n    this.built = true;\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    const outputShape = inputShape.slice();\n    outputShape[outputShape.length - 1] = this.units;\n    return outputShape;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      this.invokeCallHook(inputs, kwargs);\n      // Dense layer accepts only a single input.\n      const input = getExactlyOneTensor(inputs);\n      const fusedActivationName =\n          mapActivationToFusedKernel(this.activation.getClassName());\n      let output: Tensor;\n\n      if (fusedActivationName != null) {\n        output = K.dot(\n            input, this.kernel.read(), fusedActivationName,\n            this.bias ? this.bias.read() : null);\n      } else {\n        output = K.dot(input, this.kernel.read());\n        if (this.bias != null) {\n          output = K.biasAdd(output, this.bias.read());\n        }\n        if (this.activation != null) {\n          output = this.activation.apply(output);\n        }\n      }\n\n      return output;\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      units: this.units,\n      activation: serializeActivation(this.activation),\n      useBias: this.useBias,\n      kernelInitializer: serializeInitializer(this.kernelInitializer),\n      biasInitializer: serializeInitializer(this.biasInitializer),\n      kernelRegularizer: serializeRegularizer(this.kernelRegularizer),\n      biasRegularizer: serializeRegularizer(this.biasRegularizer),\n      activityRegularizer: serializeRegularizer(this.activityRegularizer),\n      kernelConstraint: serializeConstraint(this.kernelConstraint),\n      biasConstraint: serializeConstraint(this.biasConstraint)\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(Dense);\n\nexport declare interface FlattenLayerArgs extends LayerArgs {\n  /** Image data format: channeLast (default) or channelFirst. */\n  dataFormat?: DataFormat;\n}\n\nexport class Flatten extends Layer {\n  private dataFormat: DataFormat;\n\n  /** @nocollapse */\n  static className = 'Flatten';\n  constructor(args?: FlattenLayerArgs) {\n    args = args || {};\n    super(args);\n    this.inputSpec = [{minNDim: 3}];\n    this.dataFormat = args.dataFormat;\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    for (const dim of inputShape.slice(1)) {\n      if (dim == null) {\n        throw new ValueError(\n            `The shape of the input to \"Flatten\" is not fully defined ` +\n            `(got ${inputShape.slice(1)}). Make sure to pass a complete ` +\n            `\"input_shape\" or \"batch_input_shape\" argument to the first ` +\n            `layer in your model.`);\n      }\n    }\n    return [inputShape[0], arrayProd(inputShape, 1)];\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      this.invokeCallHook(inputs, kwargs);\n\n      let input = getExactlyOneTensor(inputs);\n      if (this.dataFormat === 'channelsFirst' && input.rank > 1) {\n        const permutation: number[] = [0];\n        for (let i = 2; i < input.rank; ++i) {\n          permutation.push(i);\n        }\n        permutation.push(1);\n        input = input.transpose(permutation);\n      }\n\n      return K.batchFlatten(input);\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {};\n    if (this.dataFormat != null) {\n      config['dataFormat'] = this.dataFormat;\n    }\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(Flatten);\n\nexport declare interface ActivationLayerArgs extends LayerArgs {\n  /**\n   * Name of the activation function to use.\n   */\n  activation: ActivationIdentifier;\n}\n\nexport class Activation extends Layer {\n  /** @nocollapse */\n  static className = 'Activation';\n  activation: ActivationFn;\n\n  constructor(args: ActivationLayerArgs) {\n    super(args);\n    this.supportsMasking = true;\n    this.activation = getActivation(args.activation);\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      this.invokeCallHook(inputs, kwargs);\n      const input = getExactlyOneTensor(inputs);\n      return this.activation.apply(input);\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {activation: serializeActivation(this.activation)};\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(Activation);\n\nexport declare interface ReshapeLayerArgs extends LayerArgs {\n  /** The target shape. Does not include the batch axis. */\n  targetShape: Shape;\n}\n\nexport declare interface RepeatVectorLayerArgs extends LayerArgs {\n  /**\n   * The integer number of times to repeat the input.\n   */\n  n: number;\n}\n\nexport class RepeatVector extends Layer {\n  /** @nocollapse */\n  static className = 'RepeatVector';\n  readonly n: number;\n\n  constructor(args: RepeatVectorLayerArgs) {\n    super(args);\n    this.n = args.n;\n    this.inputSpec = [{ndim: 2}];\n  }\n\n  computeOutputShape(inputShape: Shape): Shape {\n    return [inputShape[0], this.n, inputShape[1]];\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      inputs = getExactlyOneTensor(inputs);\n      return K.repeat(inputs, this.n);\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {\n      n: this.n,\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(RepeatVector);\n\nexport class Reshape extends Layer {\n  /** @nocollapse */\n  static className = 'Reshape';\n  private targetShape: Shape;\n\n  constructor(args: ReshapeLayerArgs) {\n    super(args);\n    this.targetShape = args.targetShape;\n\n    // Make sure that all unknown dimensions are represented as `null`.\n    for (let i = 0; i < this.targetShape.length; ++i) {\n      if (this.isUnknown(this.targetShape[i])) {\n        this.targetShape[i] = null;\n      }\n    }\n  }\n\n  private isUnknown(dim: number): boolean {\n    return dim < 0 || dim == null;\n  }\n\n  /**\n   * Finds and replaces a missing dimension in output shape.\n   *\n   * This is a near direct port of the internal Numpy function\n   * `_fix_unknown_dimension` in `numpy/core/src/multiarray/shape.c`.\n   *\n   * @param inputShape: Original shape of array begin reshape.\n   * @param outputShape: Target shape of the array, with at most a single\n   * `null` or negative number, which indicates an underdetermined dimension\n   * that should be derived from `inputShape` and the known dimensions of\n   *   `outputShape`.\n   * @returns: The output shape with `null` replaced with its computed value.\n   * @throws: ValueError: If `inputShape` and `outputShape` do not match.\n   */\n  private fixUnknownDimension(inputShape: Shape, outputShape: Shape): Shape {\n    const errorMsg = 'Total size of new array must be unchanged.';\n    const finalShape = outputShape.slice();\n    let known = 1;\n    let unknown = null;\n    for (let i = 0; i < finalShape.length; ++i) {\n      const dim = finalShape[i];\n      if (this.isUnknown(dim)) {\n        if (unknown === null) {\n          unknown = i;\n        } else {\n          throw new ValueError('Can only specifiy one unknown dimension.');\n        }\n      } else {\n        known *= dim;\n      }\n    }\n\n    const originalSize = arrayProd(inputShape);\n    if (unknown !== null) {\n      if (known === 0 || originalSize % known !== 0) {\n        throw new ValueError(errorMsg);\n      }\n      finalShape[unknown] = originalSize / known;\n    } else if (originalSize !== known) {\n      throw new ValueError(errorMsg);\n    }\n\n    return finalShape;\n  }\n\n  computeOutputShape(inputShape: Shape): Shape {\n    let anyUnknownDims = false;\n    for (let i = 0; i < inputShape.length; ++i) {\n      if (this.isUnknown(inputShape[i])) {\n        anyUnknownDims = true;\n        break;\n      }\n    }\n\n    if (anyUnknownDims) {\n      return inputShape.slice(0, 1).concat(this.targetShape);\n    } else {\n      return inputShape.slice(0, 1).concat(\n          this.fixUnknownDimension(inputShape.slice(1), this.targetShape));\n    }\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      this.invokeCallHook(inputs, kwargs);\n      const input = getExactlyOneTensor(inputs);\n      const inputShape = input.shape;\n      const outputShape = inputShape.slice(0, 1).concat(\n          this.fixUnknownDimension(inputShape.slice(1), this.targetShape));\n      return input.reshape(outputShape);\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {\n      targetShape: this.targetShape,\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(Reshape);\n\nexport declare interface PermuteLayerArgs extends LayerArgs {\n  /**\n   * Array of integers. Permutation pattern. Does not include the\n   * sample (batch) dimension. Index starts at 1.\n   * For instance, `[2, 1]` permutes the first and second dimensions\n   * of the input.\n   */\n  dims: number[];\n}\n\nexport class Permute extends Layer {\n  /** @nocollapse */\n  static className = 'Permute';\n  readonly dims: number[];\n  private readonly dimsIncludingBatch: number[];\n\n  constructor(args: PermuteLayerArgs) {\n    super(args);\n    if (args.dims == null) {\n      throw new Error(\n          'Required configuration field `dims` is missing during Permute ' +\n          'constructor call.');\n    }\n    if (!Array.isArray(args.dims)) {\n      throw new Error(\n          'Permute constructor requires `dims` to be an Array, but received ' +\n          `${args.dims} instead.`);\n    }\n\n    // Check the validity of the permutation indices.\n    const expectedSortedIndices = range(1, args.dims.length + 1);\n    if (!util.arraysEqual(args.dims.slice().sort(), expectedSortedIndices)) {\n      throw new Error(\n          'Invalid permutation `dims`: ' + JSON.stringify(args.dims) +\n          ' `dims` must contain consecutive integers starting from 1.');\n    }\n\n    this.dims = args.dims;\n    this.dimsIncludingBatch = [0].concat(this.dims);\n    this.inputSpec = [new InputSpec({ndim: this.dims.length + 1})];\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    const outputShape = inputShape.slice();\n    this.dims.forEach((dim: number, i: number) => {\n      outputShape[i + 1] = (inputShape as Shape)[dim];\n    });\n    return outputShape;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return transpose(getExactlyOneTensor(inputs), this.dimsIncludingBatch);\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {\n      dims: this.dims,\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(Permute);\n\nexport declare interface MaskingArgs extends LayerArgs {\n  /**\n   * Masking Value. Defaults to `0.0`.\n   */\n  maskValue?: number;\n}\n\nexport class Masking extends Layer {\n  /** @nocollapse */\n  static className = 'Masking';\n  maskValue: number;\n\n  constructor(args?: MaskingArgs) {\n    super(args == null ? {} : args);\n    this.supportsMasking = true;\n    if (args != null) {\n      this.maskValue = args.maskValue == null ? 0 : args.maskValue;\n    } else {\n      this.maskValue = 0;\n    }\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    return inputShape;\n  }\n\n  getConfig() {\n    const baseConfig = super.getConfig();\n    const config = {maskValue: this.maskValue};\n    Object.assign(config, baseConfig);\n    return config;\n  }\n\n  computeMask(inputs: Tensor|Tensor[], mask?: Tensor|Tensor[]): Tensor {\n    const input = getExactlyOneTensor(inputs);\n    const axis = -1;\n    return any(notEqual(input, this.maskValue), axis);\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      this.invokeCallHook(inputs, kwargs);\n      const input = getExactlyOneTensor(inputs);\n      const axis = -1;\n      const keepDims = true;\n      const booleanMask = any(notEqual(input, this.maskValue), axis, keepDims);\n      const output = input.mul(booleanMask.asType(input.dtype));\n      return output;\n    });\n  }\n}\nserialization.registerClass(Masking);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * TensorFlow.js Layers: Embedding Layer.\n *\n * Original source: keras/constraints.py\n */\nimport {notEqual, serialization, Tensor, tidy, zerosLike} from '@tensorflow/tfjs-core';\n\nimport * as K from '../backend/tfjs_backend';\nimport {Constraint, ConstraintIdentifier, getConstraint, serializeConstraint} from '../constraints';\nimport {Layer, LayerArgs} from '../engine/topology';\nimport {ValueError} from '../errors';\nimport {getInitializer, Initializer, InitializerIdentifier, serializeInitializer} from '../initializers';\nimport {Shape} from '../keras_format/common';\nimport {getRegularizer, Regularizer, RegularizerIdentifier, serializeRegularizer} from '../regularizers';\nimport {Kwargs} from '../types';\nimport * as generic_utils from '../utils/generic_utils';\nimport {getExactlyOneShape, getExactlyOneTensor} from '../utils/types_utils';\nimport {LayerVariable} from '../variables';\n\nexport declare interface EmbeddingLayerArgs extends LayerArgs {\n  /**\n   * Integer > 0. Size of the vocabulary, i.e. maximum integer index + 1.\n   */\n  inputDim: number;\n  /**\n   * Integer >= 0. Dimension of the dense embedding.\n   */\n  outputDim: number;\n  /**\n   * Initializer for the `embeddings` matrix.\n   */\n  embeddingsInitializer?: InitializerIdentifier|Initializer;\n  /**\n   * Regularizer function applied to the `embeddings` matrix.\n   */\n  embeddingsRegularizer?: RegularizerIdentifier|Regularizer;\n  /**\n   * Regularizer function applied to the activation.\n   */\n  activityRegularizer?: RegularizerIdentifier|Regularizer;\n  /**\n   * Constraint function applied to the `embeddings` matrix.\n   */\n  embeddingsConstraint?: ConstraintIdentifier|Constraint;\n  /**\n   * Whether the input value 0 is a special \"padding\" value that should be\n   * masked out. This is useful when using recurrent layers which may take\n   * variable length input.\n   *\n   * If this is `True` then all subsequent layers in the model need to support\n   * masking or an exception will be raised. If maskZero is set to `True`, as a\n   * consequence, index 0 cannot be used in the vocabulary (inputDim should\n   * equal size of vocabulary + 1).\n   */\n  maskZero?: boolean;\n  /**\n   * Length of input sequences, when it is constant.\n   *\n   * This argument is required if you are going to connect `flatten` then\n   * `dense` layers upstream (without it, the shape of the dense outputs cannot\n   * be computed).\n   */\n  inputLength?: number|number[];\n}\n\nexport class Embedding extends Layer {\n  /** @nocollapse */\n  static className = 'Embedding';\n  private inputDim: number;\n  private outputDim: number;\n  private embeddingsInitializer: Initializer;\n  private maskZero: boolean;\n  private inputLength: number|number[];\n\n  private embeddings: LayerVariable = null;\n\n  readonly DEFAULT_EMBEDDINGS_INITIALIZER: InitializerIdentifier =\n      'randomUniform';\n  private readonly embeddingsRegularizer?: Regularizer;\n  private readonly embeddingsConstraint?: Constraint;\n\n  constructor(args: EmbeddingLayerArgs) {\n    super(args);\n    if (args.batchInputShape == null && args.inputShape == null) {\n      // Porting Note: This logic is copied from Layer's constructor, since we\n      // can't do exactly what the Python constructor does for Embedding().\n      // Specifically, the super constructor can not be called after the\n      // mutation of the `config` argument.\n      let batchSize: number = null;\n      if (args.batchSize != null) {\n        batchSize = args.batchSize;\n      }\n      if (args.inputLength == null) {\n        // Fix super-constructor to what it would have done if\n        // 'config.inputShape' were (None, )\n        this.batchInputShape = [batchSize, null];\n      } else {\n        // Fix super-constructor to what it would have done if\n        // 'config.inputShape' were (config.inputLength, )\n        this.batchInputShape =\n            [batchSize].concat(generic_utils.toList(args.inputLength));\n      }\n    }\n    this.inputDim = args.inputDim;\n    generic_utils.assertPositiveInteger(this.inputDim, 'inputDim');\n    this.outputDim = args.outputDim;\n    generic_utils.assertPositiveInteger(this.outputDim, 'outputDim');\n    this.embeddingsInitializer = getInitializer(\n        args.embeddingsInitializer || this.DEFAULT_EMBEDDINGS_INITIALIZER);\n    this.embeddingsRegularizer = getRegularizer(args.embeddingsRegularizer);\n    this.activityRegularizer = getRegularizer(args.activityRegularizer);\n    this.embeddingsConstraint = getConstraint(args.embeddingsConstraint);\n    this.maskZero = args.maskZero;\n    this.supportsMasking = args.maskZero;\n    this.inputLength = args.inputLength;\n  }\n\n  public build(inputShape: Shape|Shape[]): void {\n    this.embeddings = this.addWeight(\n        'embeddings', [this.inputDim, this.outputDim], this.dtype,\n        this.embeddingsInitializer, this.embeddingsRegularizer, true,\n        this.embeddingsConstraint);\n    this.built = true;\n  }\n\n  // Override warnOnIncompatibleInputShape because an embedding layer allows\n  // the input to have varying ranks.\n  protected warnOnIncompatibleInputShape(inputShape: Shape) {}\n\n  computeMask(inputs: Tensor|Tensor[], mask?: Tensor|Tensor[]): Tensor {\n    return tidy(() => {\n      if (!this.maskZero) {\n        return null;\n      } else {\n        inputs = getExactlyOneTensor(inputs);\n        return notEqual(inputs, zerosLike(inputs));\n      }\n    });\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    if (this.inputLength == null) {\n      return [...inputShape, this.outputDim];\n    }\n    // inputLength can be an array if input is 3D or higher.\n    const inLens: number[] = generic_utils.toList(this.inputLength);\n    if (inLens.length !== inputShape.length - 1) {\n      throw new ValueError(\n          `\"inputLength\" is ${this.inputLength}, but received ` +\n          `input shape has shape ${inputShape}`);\n    } else {\n      let i = 0;\n      for (let k = 0; k < inLens.length; ++k) {\n        const s1 = inLens[k];\n        const s2 = inputShape[k + 1];\n        if ((s1 != null) && (s2 != null) && (s1 !== s2)) {\n          throw new ValueError(\n              `\"inputLength\" is ${this.inputLength}, but received ` +\n              `input shape has shape ${inputShape}`);\n        } else if (s1 == null) {\n          inLens[i] = s2;\n        }\n        i++;\n      }\n    }\n    return [inputShape[0], ...inLens, this.outputDim];\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      this.invokeCallHook(inputs, kwargs);\n      // Embedding layer accepts only a single input.\n      let input = getExactlyOneTensor(inputs);\n      if (input.dtype !== 'int32') {\n        input = K.cast(input, 'int32');\n      }\n      const output = K.gather(this.embeddings.read(), input.as1D());\n      return output.reshape(\n          getExactlyOneShape(this.computeOutputShape(input.shape)));\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {\n      inputDim: this.inputDim,\n      outputDim: this.outputDim,\n      embeddingsInitializer: serializeInitializer(this.embeddingsInitializer),\n      embeddingsRegularizer: serializeRegularizer(this.embeddingsRegularizer),\n      activityRegularizer: serializeRegularizer(this.activityRegularizer),\n      embeddingsConstraint: serializeConstraint(this.embeddingsConstraint),\n      maskZero: this.maskZero,\n      inputLength: this.inputLength\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(Embedding);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * TensorFlow.js Layers: Merge Layers.\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {serialization, Tensor, tidy, util} from '@tensorflow/tfjs-core';\nimport * as K from '../backend/tfjs_backend';\nimport {Layer, LayerArgs, SymbolicTensor} from '../engine/topology';\nimport {NotImplementedError, ValueError} from '../errors';\nimport {Shape} from '../keras_format/common';\nimport {l2Normalize} from '../losses';\nimport {Kwargs} from '../types';\nimport * as generic_utils from '../utils/generic_utils';\nimport * as mathUtils from '../utils/math_utils';\nimport {getExactlyOneShape} from '../utils/types_utils';\n\n/**\n * Generic Merge layer for element-wise merge functions.\n *\n * Used to implement `Sum`, `Average`, `Concatenate`, etc.\n */\nexport abstract class Merge extends Layer {\n  protected reshapeRequired: boolean;\n\n  constructor(args?: LayerArgs) {\n    super(args || {});\n    this.supportsMasking = true;\n  }\n\n  /**\n   * Logic for merging multiple tensors, to be overridden by subclasses.\n   * @param inputs\n   */\n  protected mergeFunction(inputs: Tensor[]): Tensor {\n    throw new NotImplementedError();\n  }\n\n  /**\n   * Computes the shape of the result of an elementwise operation.\n   *\n   * @param shape1: Shape of the first tensor.\n   * @param shape2: Shape of the second tensor.\n   * @returns Expected output shape when an elementwise operation is carried\n   *   out on 2 tensors with shapes `shape1` and `shape2`.\n   * @throws ValueError: If `shape1` and `shape2` are not compatible for\n   *   element-wise operations.\n   */\n  private computeElementwiseOpOutputShape(shape1: Shape, shape2: Shape): Shape {\n    if (shape1 == null || shape2 == null) {\n      return null;\n    } else if (shape1.length < shape2.length) {\n      return this.computeElementwiseOpOutputShape(shape2, shape1);\n    } else if (shape2.length === 0) {\n      return shape1;\n    }\n    const outputShape: Shape = shape1.slice(0, shape1.length - shape2.length);\n    for (let k = 0; k < shape2.length; ++k) {\n      const i = shape1[shape1.length - shape2.length + k];\n      const j = shape2[k];\n      if (i == null || j == null || i < 0 || j < 0) {\n        outputShape.push(null);\n      } else if (i === 1) {\n        outputShape.push(j);\n      } else if (j === 1) {\n        outputShape.push(i);\n      } else {\n        if (i !== j) {\n          throw new ValueError(\n              'Operands could not be broadcast together with shapes ' +\n              JSON.stringify(shape1) + ' ' + JSON.stringify(shape2));\n        }\n        outputShape.push(i);\n      }\n    }\n    return outputShape;\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    // Used purely for shape validation.\n    if (Array.isArray(inputShape) && !Array.isArray(inputShape[0])) {\n      // Make sure that inputShape is an Array of shape.\n      inputShape = [getExactlyOneShape(inputShape)];\n    }\n    inputShape = inputShape as Shape[];\n    if (inputShape.length < 2) {\n      throw new ValueError(\n          'A merge layer should be called on an Array of at least 2 inputs.' +\n          ` Got ${inputShape.length} input(s).`);\n    }\n\n    // Make sure that there is at most one unique batch size among the input\n    // shapes.\n    let batchSizes: number[] = [];\n    for (const shape of inputShape) {\n      if (shape != null && shape[0] !== null) {\n        batchSizes.push(shape[0]);\n      }\n    }\n    batchSizes = generic_utils.unique(batchSizes);\n    if (batchSizes.length > 1) {\n      throw new ValueError(\n          `Can not merge tensors with different batch sizes. ` +\n          `Got tensors with shapes: ${JSON.stringify(inputShape)}.`);\n    }\n\n    let outputShape: Shape =\n        inputShape[0] == null ? null : inputShape[0].slice(1);\n    for (let i = 1; i < inputShape.length; ++i) {\n      const shape = inputShape[i] == null ? null : inputShape[i].slice(1);\n      outputShape = this.computeElementwiseOpOutputShape(outputShape, shape);\n    }\n    // If the inputs have different ranks, we have to reshape them to make them\n    // broadcastable.\n    const allRanks = inputShape.map(shape => shape.length);\n    if (inputShape.indexOf(null) === -1 &&\n        generic_utils.unique(allRanks).length === 1) {\n      this.reshapeRequired = false;\n    } else {\n      this.reshapeRequired = true;\n    }\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      inputs = inputs as Tensor[];\n      if (this.reshapeRequired) {\n        const reshapedInputs: Tensor[] = [];\n        const inputDims = inputs.map(input => input.rank);\n        if (inputDims.indexOf(null) === -1) {\n          // If ranks of all inputs are available, we simply expand each of them\n          // at axis=1 until all of them have the same rank.\n          const maxNDim = mathUtils.max(inputDims);\n          for (let x of inputs) {\n            const xNDim = x.rank;\n            for (let k = 0; k < maxNDim - xNDim; ++k) {\n              x = K.expandDims(x, 1);\n            }\n            reshapedInputs.push(x);\n          }\n          return this.mergeFunction(reshapedInputs);\n        } else {\n          // Transpose all inputs so that batch size is the last dimension.\n          // [batchSize, dim1, dim2, ...] -> [dim1, dim2, ..., batchSize]\n          let transposed = false;\n          for (const x of inputs) {\n            const xNDim = x.rank;\n            if (xNDim == null) {\n              const xShape = x.shape;\n              const batchSize = xShape[0];\n              const newShape = xShape.slice(1).concat([batchSize]);\n              let xTransposed = x.reshape(\n                  [batchSize].concat(mathUtils.arrayProd(xShape.slice(1))));\n              xTransposed = tfc.transpose(xTransposed, [1, 0]);\n              xTransposed = xTransposed.reshape(newShape);\n              reshapedInputs.push(xTransposed);\n              transposed = true;\n            } else if (xNDim > 1) {\n              const dims = mathUtils.range(1, xNDim).concat([0]);\n              reshapedInputs.push(tfc.transpose(x, dims));\n              transposed = true;\n            } else {\n              // We don't transpose inputs if they are 1D vectors or scalars.\n              reshapedInputs.push(x);\n            }\n          }\n          let y = this.mergeFunction(reshapedInputs);\n          const yNDim = y.rank;\n          if (transposed) {\n            // If inputs have been transposed, we have to transpose the output\n            // too.\n            if (yNDim == null) {\n              const yShape = y.shape;\n              const yNDim = yShape.length;\n              const batchSize = yShape[yNDim - 1];\n              const newShape =\n                  [batchSize].concat(yShape.slice(0, yShape.length - 1));\n              y = tfc.transpose(y.reshape([-1, batchSize]), [1, 0])\n                      .reshape(newShape);\n            } else if (yNDim > 1) {\n              const dims = [yNDim - 1].concat(mathUtils.range(0, yNDim - 1));\n              y = tfc.transpose(y, dims);\n            }\n          }\n          return y;\n        }\n      } else {\n        return this.mergeFunction(inputs);\n      }\n    });\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = inputShape as Shape[];\n    let outputShape: Shape;\n    if (inputShape[0] == null) {\n      outputShape = null;\n    } else {\n      outputShape = inputShape[0].slice(1);\n    }\n    for (let i = 1; i < inputShape.length; ++i) {\n      const shape = inputShape[i] == null ? null : inputShape[i].slice(1);\n      outputShape = this.computeElementwiseOpOutputShape(outputShape, shape);\n    }\n\n    let batchSizes: number[] = [];\n    for (const shape of inputShape) {\n      if (shape != null && shape[0] !== null) {\n        batchSizes.push(shape[0]);\n      }\n    }\n    batchSizes = generic_utils.unique(batchSizes);\n    if (batchSizes.length === 1) {\n      outputShape = batchSizes.concat(outputShape);\n    } else {\n      outputShape = [null].concat(outputShape);\n    }\n    return outputShape;\n  }\n\n  computeMask(inputs: Tensor|Tensor[], mask?: Tensor|Tensor[]): Tensor {\n    return tfc.tidy(() => {\n      if (mask == null) {\n        return null;\n      }\n      if (!Array.isArray(mask)) {\n        throw new ValueError('`mask` should be an Array');\n      }\n      if (!Array.isArray(inputs)) {\n        throw new ValueError('`inputs` should be an Array');\n      }\n      if (mask.length !== inputs.length) {\n        throw new ValueError(\n            `The Array 'inputs' and 'mask' are expected to have the same ` +\n            `length, but have different lengths ` +\n            `(${inputs.length} vs ${mask.length})`);\n      }\n      if (mask.every(m => m == null)) {\n        return null;\n      }\n      mask = mask.map(m => m == null ? m : tfc.expandDims(m, 0));\n      let output = mask[0];\n      for (let i = 1; i < mask.length - 1; ++i) {\n        output = tfc.logicalAnd(output, mask[i]);\n      }\n      return output;\n    });\n  }\n}\n\nexport class Add extends Merge {\n  /** @nocollapse */\n  static className = 'Add';\n  constructor(args?: LayerArgs) {\n    super(args);\n  }\n\n  protected mergeFunction(inputs: Tensor[]): Tensor {\n    return tidy(() => {\n      let output = inputs[0].clone();\n      for (let i = 1; i < inputs.length; ++i) {\n        output = tfc.add(output, inputs[i]);\n      }\n      return output;\n    });\n  }\n}\nserialization.registerClass(Add);\n\n/**\n * Calculate the element-wise sum of inputs, which all have the same shape.\n *\n * This function can be invoked in three ways.\n *\n * 1. Construct an instance of `Add` layer, by using no input argument\n *    or a single configuration argument. The resultant `Add` layer can then\n *    be used on `tf.SymbolicTensor`s or `tf.Tensor`s. For example:\n *\n * ```js\n * const addLayer = tf.layers.add();\n *\n * // The layer can be applied to inputs.\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const output = addLayer.apply([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n *\n * 2. Invoke directly on an `Array` of `tf.SymbolicTensor`s. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.SymbolicTensor`. For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const output = tf.layers.add([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n *\n * 3. Invoke directly on `tf.Tensor`s, i.e., concrete values. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.Tensor` as the result of the computation. For\n * example:\n *\n * ```js\n * const input1 = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const input2 = tf.tensor2d([10, 20, 30, 40], [2, 2]);\n * tf.layers.add([input1, input2]).print();\n * // Gives [[11, 22], [33, 44]].\n *\n */\nexport function add(config?: SymbolicTensor[]|Tensor[]|LayerArgs): Layer|\n    SymbolicTensor|Tensor {\n  if (Array.isArray(config)) {\n    const layer = new Add({});\n    return layer.apply(config) as SymbolicTensor | Tensor;\n  } else {\n    return new Add(config);\n  }\n}\n\nexport class Multiply extends Merge {\n  /** @nocollapse */\n  static className = 'Multiply';\n  constructor(args?: LayerArgs) {\n    super(args);\n  }\n\n  protected mergeFunction(inputs: Tensor[]): Tensor {\n    return tidy(() => {\n      let output = inputs[0].clone();\n      for (let i = 1; i < inputs.length; ++i) {\n        output = tfc.mul(output, inputs[i]);\n      }\n      return output;\n    });\n  }\n}\nserialization.registerClass(Multiply);\n\n/**\n * Calculate the element-wise product of inputs, which all have the same shape.\n *\n * This function can be invoked in three ways.\n *\n * 1. Construct an instance of `Multiply` layer, by using no input argument\n *    or a single configuration argument. The resultant `Multiply` layer can\n *    then be used on `tf.SymbolicTensor`s or `tf.Tensor`s. For example:\n *\n * ```js\n * const multiplyLayer = tf.layers.multiply();\n *\n * // The layer can be applied to inputs.\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const output = multiplyLayer.apply([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n *\n * 2. Invoke directly on an `Array` of `tf.SymbolicTensor`s. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.SymbolicTensor`. For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const output = tf.layers.multiply([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n *\n * 3. Invoke directly on `tf.Tensor`s, i.e., concrete values. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.Tensor` as the result of the computation. For\n * example:\n *\n * ```js\n * const input1 = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const input2 = tf.tensor2d([10, 20, 30, 40], [2, 2]);\n * tf.layers.multiply([input1, input2]).print();\n * // Gives [[10, 40], [90, 160]].\n *\n */\nexport function multiply(config?: SymbolicTensor[]|Tensor[]|LayerArgs): Layer|\n    SymbolicTensor|Tensor {\n  if (Array.isArray(config)) {\n    const layer = new Multiply({});\n    return layer.apply(config) as SymbolicTensor | Tensor;\n  } else {\n    return new Multiply(config);\n  }\n}\n\nexport class Average extends Merge {\n  /** @nocollapse */\n  static className = 'Average';\n  constructor(args?: LayerArgs) {\n    super(args);\n  }\n\n  protected mergeFunction(inputs: Tensor[]): Tensor {\n    return tidy(() => {\n      let output = inputs[0].clone();\n      for (let i = 1; i < inputs.length; ++i) {\n        output = tfc.add(output, inputs[i]);\n      }\n      return tfc.mul(1 / inputs.length, output);\n    });\n  }\n}\nserialization.registerClass(Average);\n\n/**\n * Calculate the element-wise arithmetic mean of inputs, which all have the same\n * shape.\n *\n * This function can be invoked in three ways.\n *\n * 1. Construct an instance of `Average` layer, by using no input argument\n *    or a single configuration argument. The resultant `Average` layer can then\n *    be used on `tf.SymbolicTensor`s or `tf.Tensor`s. For example:\n *\n * ```js\n * const averageLayer = tf.layers.average();\n *\n * // The layer can be applied to inputs.\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const output = averageLayer.apply([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n *\n * 2. Invoke directly on an `Array` of `tf.SymbolicTensor`s. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.SymbolicTensor`. For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const output = tf.layers.average([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n *\n * 3. Invoke directly on `tf.Tensor`s, i.e., concrete values. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.Tensor` as the result of the computation. For\n * example:\n *\n * ```js\n * const input1 = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const input2 = tf.tensor2d([10, 20, 30, 40], [2, 2]);\n * tf.layers.average([input1, input2]).print();\n * // Gives [[5.5, 11], [16.5, 22]].\n *\n */\nexport function average(config?: SymbolicTensor[]|Tensor[]|LayerArgs): Layer|\n    SymbolicTensor|Tensor {\n  if (Array.isArray(config)) {\n    const layer = new Average({});\n    return layer.apply(config) as SymbolicTensor | Tensor;\n  } else {\n    return new Average(config);\n  }\n}\n\nexport class Maximum extends Merge {\n  /** @nocollapse */\n  static className = 'Maximum';\n  constructor(args?: LayerArgs) {\n    super(args);\n  }\n\n  protected mergeFunction(inputs: Tensor[]): Tensor {\n    return tidy(() => {\n      let output = inputs[0];\n      for (let i = 1; i < inputs.length; ++i) {\n        output = tfc.maximum(output, inputs[i]);\n      }\n      return output;\n    });\n  }\n}\nserialization.registerClass(Maximum);\n\n/**\n * Calculate the element-wise maximum of inputs, which all have the same shape.\n *\n * This function can be invoked in three ways.\n *\n * 1. Construct an instance of `Maximum` layer, by using no input argument\n *    or a single configuration argument. The resultant `Maximum` layer can then\n *    be used on `tf.SymbolicTensor`s or `tf.Tensor`s. For example:\n *\n * ```js\n * const maximumLayer = tf.layers.maximum();\n *\n * // The layer can be applied to inputs.\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const output = maximumLayer.apply([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n *\n * 2. Invoke directly on an `Array` of `tf.SymbolicTensor`s. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.SymbolicTensor`. For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const output = tf.layers.maximum([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n *\n * 3. Invoke directly on `tf.Tensor`s, i.e., concrete values. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.Tensor` as the result of the computation. For\n * example:\n *\n * ```js\n * const input1 = tf.tensor2d([1, 20, 3, 40], [2, 2]);\n * const input2 = tf.tensor2d([10, 2, 30, 4], [2, 2]);\n * tf.layers.maximum([input1, input2]).print();\n * // Gives [[10, 20], [30, 40]].\n *\n */\nexport function maximum(config?: SymbolicTensor[]|Tensor[]|LayerArgs): Layer|\n    SymbolicTensor|Tensor {\n  if (Array.isArray(config)) {\n    const layer = new Maximum({});\n    return layer.apply(config) as SymbolicTensor | Tensor;\n  } else {\n    return new Maximum(config);\n  }\n}\n\nexport class Minimum extends Merge {\n  /** @nocollapse */\n  static className = 'Minimum';\n  constructor(args?: LayerArgs) {\n    super(args);\n  }\n\n  protected mergeFunction(inputs: Tensor[]): Tensor {\n    return tidy(() => {\n      let output = inputs[0];\n      for (let i = 1; i < inputs.length; ++i) {\n        output = tfc.minimum(output, inputs[i]);\n      }\n      return output;\n    });\n  }\n}\nserialization.registerClass(Minimum);\n\n/**\n * Calculate the element-wise minimum of inputs, which all have the same shape.\n *\n * This function can be invoked in three ways.\n *\n * 1. Construct an instance of `Minimum` layer, by using no input argument\n *    or a single configuration argument. The resultant `Minimum` layer can then\n *    be used on `tf.SymbolicTensor`s or `tf.Tensor`s. For example:\n *\n * ```js\n * const minimumLayer = tf.layers.minimum();\n *\n * // The layer can be applied to inputs.\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const output = minimumLayer.apply([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n *\n * 2. Invoke directly on an `Array` of `tf.SymbolicTensor`s. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.SymbolicTensor`. For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const output = tf.layers.minimum([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n *\n * 3. Invoke directly on `tf.Tensor`s, i.e., concrete values. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.Tensor` as the result of the computation. For\n * example:\n *\n * ```js\n * const input1 = tf.tensor2d([1, 20, 3, 40], [2, 2]);\n * const input2 = tf.tensor2d([10, 2, 30, 4], [2, 2]);\n * tf.layers.minimum([input1, input2]).print();\n * // Gives [[1, 2], [3, 4]].\n *\n */\nexport function minimum(config?: SymbolicTensor[]|Tensor[]|LayerArgs): Layer|\n    SymbolicTensor|Tensor {\n  if (Array.isArray(config)) {\n    const layer = new Minimum({});\n    return layer.apply(config) as SymbolicTensor | Tensor;\n  } else {\n    return new Minimum(config);\n  }\n}\n\nexport declare interface ConcatenateLayerArgs extends LayerArgs {\n  /**\n   * Axis along which to concatenate.\n   */\n  axis?: number;\n}\n\nexport class Concatenate extends Merge {\n  /** @nocollapse */\n  static className = 'Concatenate';\n  readonly DEFAULT_AXIS = -1;\n  private readonly axis: number;\n\n  constructor(args?: ConcatenateLayerArgs) {\n    super(args);\n    if (args == null) {\n      args = {};\n    }\n    this.axis = args.axis == null ? this.DEFAULT_AXIS : args.axis;\n    this.supportsMasking = true;\n    this.reshapeRequired = false;\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    // Used purely for shape validation.]\n    if (!(Array.isArray(inputShape) && Array.isArray(inputShape[0])) ||\n        inputShape.length === 1) {\n      throw new ValueError(\n          'A `Concatenate` layer should be called on a list of at least 2 ' +\n          'inputs');\n    }\n    inputShape = inputShape as Shape[];\n\n    let allNoneShape = true;\n    for (const shape of inputShape) {\n      if (shape != null) {\n        allNoneShape = false;\n        break;\n      }\n    }\n    if (allNoneShape) {\n      return;\n    }\n\n    const shapeSet: Shape[] = [];\n    for (let i = 0; i < inputShape.length; ++i) {\n      const shapeWithoutConcatAxis = inputShape[i].slice();\n      shapeWithoutConcatAxis.splice(this.axis, 1);\n      let exists = false;\n      for (const shape of shapeSet) {\n        if (util.arraysEqual(shape, shapeWithoutConcatAxis)) {\n          exists = true;\n          break;\n        }\n      }\n      if (!exists) {\n        shapeSet.push(shapeWithoutConcatAxis);\n      }\n    }\n    if (shapeSet.length > 1) {\n      throw new ValueError(\n          'A `Concatenate` layer requires inputs with matching shapes ' +\n          'except for the concat axis. Got input shapes: ' +\n          JSON.stringify(inputShape));\n    }\n  }\n\n  protected mergeFunction(inputs: Tensor[]): Tensor {\n    return tidy(() => {\n      return K.concatenate(inputs, this.axis);\n    });\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    if (!(Array.isArray(inputShape) && Array.isArray(inputShape[0]))) {\n      throw new ValueError(\n          'A `Concatenate` layer should be called on a list of inputs.');\n    }\n    const inputShapes = inputShape as Shape[];\n    const outputShape = inputShapes[0].slice();\n    const axis = this.axis < 0 ? outputShape.length + this.axis : this.axis;\n    // Porting Note: the line above is because TypeScript doesn't support\n    //   negative indices.\n    for (const shape of inputShapes.slice(1)) {\n      if (outputShape[axis] == null || shape[axis] == null) {\n        outputShape[axis] = null;\n        break;\n      }\n      outputShape[axis] += shape[axis];\n    }\n    return outputShape;\n  }\n\n  computeMask(inputs: Tensor|Tensor[], mask?: Tensor|Tensor[]): Tensor {\n    if (mask == null) {\n      return null;\n    }\n    if (!Array.isArray(mask)) {\n      throw new ValueError('`mask` should be an array for Concatenate');\n    }\n    if (!Array.isArray(inputs)) {\n      throw new ValueError('`inputs` should be an array for Concatenate');\n    }\n    if (mask.length !== inputs.length) {\n      throw new ValueError(\n          `Mismatch in the length of mask (${mask.length}) ` +\n          `and the legnth of inputs (${inputs.length})`);\n    }\n    return tfc.tidy(() => {\n      let allNullMasks = true;\n      mask.forEach(m => {\n        if (m != null) {\n          allNullMasks = false;\n          return;\n        }\n      });\n      if (allNullMasks) {\n        return null;\n      }\n      const outputMasks: Tensor[] = [];\n      for (let i = 0; i < inputs.length; ++i) {\n        if (mask[i] == null) {\n          // Input is unmasked. Append all 1's to masks.\n          outputMasks.push(tfc.onesLike(inputs[i]).asType('bool'));\n        } else if (mask[i].rank < inputs[i].rank) {\n          // Mask is smaller than the input, expand it.\n          outputMasks.push(tfc.expandDims(mask[i], -1));\n        } else {\n          outputMasks.push(mask[i]);\n        }\n      }\n      const concatenatedMasks = tfc.concat(outputMasks, this.axis);\n      return tfc.all(concatenatedMasks, -1, false);\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      'axis': this.axis,\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(Concatenate);\n\n/**\n * Concatenate an `Array` of inputs.\n *\n * This function can be invoked in three ways.\n *\n * 1. Construct an instance of `Concatenate` layer, by using no input argument\n *    or a single configuration argument. The resultant `Concatenate` layer can\n *    then be used on `tf.SymbolicTensor`s or `tf.Tensor`s. For example:\n *\n * ```js\n * const concatLayer = tf.layers.concatenate();\n *\n * // The layer can be applied to inputs.\n * const input1 = tf.input({shape: [2, 3]});\n * const input2 = tf.input({shape: [2, 4]});\n * const output = concatLayer.apply([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 7], with the first dimension as the undetermined batch\n * // dimension and the last dimension as the result of concatenating the\n * // last dimensions of the two inputs.\n * ```\n *\n * 2. Invoke directly on an `Array` of `tf.SymbolicTensor`s. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.SymbolicTensor`. For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 3]});\n * const input2 = tf.input({shape: [2, 4]});\n * const output = tf.layers.concatenate([input1, input2]);\n * console.log(output.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension and the last dimension as the result of concatenating the\n * // last dimensions of the two inputs.\n * ```\n *\n * 3. Invoke directly on `tf.Tensor`s, i.e., concrete values. This constructs\n *    an `Layer` object internally and calls its `apply` method on the inputs,\n *    generating a new `tf.Tensor` as the result of the computation. For\n * example:\n *\n * ```js\n * const input1 = tf.tensor2d([[1, 2], [3, 4]], [2, 2]);\n * const input2 = tf.tensor2d([[10, 20], [30, 40]], [2, 2]);\n * tf.layers.concatenate([input1, input2]).print();\n * // Gives [[1, 2, 10, 20], [3, 4, 30, 40]].\n *\n */\nexport function concatenate(config?: SymbolicTensor[]|Tensor[]|\n                            ConcatenateLayerArgs): Layer|SymbolicTensor|Tensor {\n  if (Array.isArray(config)) {\n    const layer = new Concatenate({});\n    return layer.apply(config) as SymbolicTensor | Tensor;\n  } else {\n    return new Concatenate(config);\n  }\n}\n\nexport declare interface DotLayerArgs extends LayerArgs {\n  /**\n   * Axis or axes along which the dot product will be taken.\n   *\n   * Integer or an Array of integers.\n   */\n  axes: number|[number, number];\n\n  /**\n   * Whether to L2-normalize samples along the dot product axis\n   * before taking the dot product.\n   *\n   * If set to `true`, the output of the dot product isthe cosine\n   * proximity between the two samples.\n   */\n  normalize?: boolean;\n}\n\n/**\n * Interpretable potentially negative axis index.\n *\n * For example, given axis = -1, and dim = 3, this function will return 2.\n *\n * @param axis The axis index, may be a positive, zero or negative integer.\n * @param dim Total number of dimensions, a positive integer.\n * @returns A non-negative axis index equivalent to the input `axis`.\n */\nfunction interpretAxis(axis: number, dim: number): number {\n  while (axis < 0) {\n    axis += dim;\n  }\n  return axis;\n}\n\nfunction batchDot(x: Tensor, y: Tensor, axes: number|[number, number]): Tensor {\n  if (x.shape.length > 3 || y.shape.length > 3) {\n    throw new NotImplementedError(\n        'batchDot is not implemented for tensors of 4D or higher rank yet');\n  }\n  tfc.util.assert(\n      x.shape.length >= 2,\n      () => `batchDot requires the rank of x to be >= 2, ` +\n          `but got ${x.shape.length}`);\n  tfc.util.assert(\n      x.shape.length >= 2,\n      () => `batchDot requires the rank of y to be >= 2, ` +\n          `but got ${y.shape.length}`);\n\n  if (typeof axes === 'number') {\n    axes = [axes, axes];\n  }\n\n  if (x.dtype === 'complex64' || y.dtype === 'complex64') {\n    throw new NotImplementedError(\n        'batchDot is not implemented for complex64-type Tensors yet.');\n  }\n\n  const xNDim = x.shape.length;\n  const yNDim = y.shape.length;\n  if (axes == null) {\n    // Behave like batchMatmul by default.\n    axes = [xNDim - 1, yNDim - 2];\n  }\n  const axesArray = axes as [number, number];\n\n  return tfc.tidy(() => {\n    let diff: number;\n    if (xNDim > yNDim) {\n      diff = xNDim - yNDim;\n      const diffShape: Shape = [];\n      for (let i = 0; i < diff; ++i) {\n        diffShape.push(1);\n      }\n      y = y.reshape(y.shape.concat(diffShape));\n    } else if (yNDim > xNDim) {\n      diff = yNDim - xNDim;\n      const diffShape: Shape = [];\n      for (let i = 0; i < diff; ++i) {\n        diffShape.push(1);\n      }\n      x = x.reshape(x.shape.concat(diffShape));\n    } else {\n      diff = 0;\n    }\n\n    let out: Tensor;\n    if (x.shape.length === 2 && y.shape.length === 2) {\n      if (axesArray[0] === axesArray[1]) {\n        out = x.mulStrict(y).sum(axesArray[0]);\n      } else {\n        out = x.transpose([1, 0]).mulStrict(y).sum(axesArray[1]);\n      }\n    } else {\n      const adjX = axesArray[0] !== x.shape.length - 1;\n      const adjY = axesArray[1] === y.shape.length - 1;\n      out = x.matMul(y, adjX, adjY);\n    }\n\n    if (diff > 0) {\n      let idx: number;\n      if (xNDim > yNDim) {\n        idx = xNDim + yNDim - 3;\n      } else {\n        idx = xNDim - 1;\n      }\n      const squeezeAxes: number[] = [];\n      for (let i = idx; i < idx + diff; ++i) {\n        squeezeAxes.push(i);\n      }\n      out = out.squeeze(squeezeAxes);\n    }\n    if (out.shape.length === 1) {\n      out = out.expandDims(1);\n    }\n    return out;\n  });\n}\n\nexport class Dot extends Merge {\n  /** @nocollapse */\n  static className = 'Dot';\n\n  private axes: number|[number, number];\n  private normalize: boolean;\n\n  constructor(args: DotLayerArgs) {\n    super(args);\n    this.axes = args.axes;\n    this.normalize = args.normalize == null ? false : args.normalize;\n    this.supportsMasking = true;\n    this.reshapeRequired = false;\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    tfc.util.assert(\n        Array.isArray(inputShape) && inputShape.length === 2 &&\n            Array.isArray(inputShape[0]) && Array.isArray(inputShape[1]),\n        () => 'A `Dot` layer should be called on a list of exactly 2 inputs.');\n    const shape1 = inputShape[0] as Shape;\n    const shape2 = inputShape[1] as Shape;\n    if (shape1.length > 3 || shape2.length > 3) {\n      throw new NotImplementedError(\n          'Dot layer does not support tensors of 4D or higher rank yet.');\n    }\n\n    const axes = this.interpretAxes(shape1, shape2);\n    if (shape1[axes[0]] !== shape2[axes[1]]) {\n      throw new ValueError(\n          `Dimension incompatibility: ` +\n          `${shape1[axes[0]]} !== ${shape2[axes[1]]}`);\n    }\n  }\n\n  protected mergeFunction(inputs: Tensor[]): Tensor {\n    if (inputs.length !== 2) {\n      throw new ValueError(\n          'A `Dot` layer must be called on exactly 2 inputs, ' +\n          `but received ${inputs.length} input(s).`);\n    }\n\n    let x1 = inputs[0];\n    let x2 = inputs[1];\n    let axes: [number, number];\n    if (!Array.isArray(this.axes)) {\n      axes = [\n        interpretAxis(this.axes, x1.shape.length),\n        interpretAxis(this.axes, x2.shape.length)\n      ];\n    } else {\n      axes = this.axes.map(\n                 (axis, i) => interpretAxis(\n                     axis, inputs[i].shape.length)) as [number, number];\n    }\n    if (this.normalize) {\n      x1 = l2Normalize(x1, axes[0]);\n      x2 = l2Normalize(x2, axes[1]);\n    }\n    return batchDot(x1, x2, axes);\n  }\n\n  private interpretAxes(shape1: Shape, shape2: Shape): number[] {\n    let axes: number[];\n    if (!Array.isArray(this.axes)) {\n      // `this.axes` is a single integer.\n      axes = [\n        interpretAxis(this.axes, shape1.length),\n        interpretAxis(this.axes, shape2.length)\n      ];\n    } else {\n      // `this.axes` is an Array of integers.\n      axes = this.axes;\n    }\n    return axes;\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    tfc.util.assert(\n        Array.isArray(inputShape) && inputShape.length === 2 &&\n            Array.isArray(inputShape[0]) && Array.isArray(inputShape[1]),\n        () => 'A `Dot` layer should be called on a list of exactly 2 inputs.');\n    const shape1 = (inputShape[0] as Shape).slice();\n    const shape2 = (inputShape[1] as Shape).slice();\n    if (shape1.length > 3 || shape2.length > 3) {\n      throw new NotImplementedError(\n          'Dot layer does not support tensors of 4D or higher rank yet.');\n    }\n\n    const axes = this.interpretAxes(shape1, shape2);\n    shape1.splice(axes[0], 1);\n    shape2.splice(axes[1], 1);\n    shape2.splice(0, 1);\n    const outputShape = shape1.concat(shape2);\n    if (outputShape.length === 1) {\n      outputShape.push(1);\n    }\n    return outputShape;\n  }\n\n  computeMask(inputs: Tensor|Tensor[], mask?: Tensor|Tensor[]): Tensor {\n    return null;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      'axes': this.axes,\n      'normalize': this.normalize\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(Dot);\n\n// TODO(cais): Add functional interfaces for the merge layers.\n","/**\r\n * @license\r\n * Copyright 2018 Google LLC\r\n *\r\n * Use of this source code is governed by an MIT-style\r\n * license that can be found in the LICENSE file or at\r\n * https://opensource.org/licenses/MIT.\r\n * =============================================================================\r\n */\r\n\r\n/**\r\n * TensorFlow.js Layers: Noise Layers.\r\n */\r\n\r\nimport {greaterEqual, randomUniform, serialization, Tensor, tidy} from '@tensorflow/tfjs-core';\r\n\r\nimport * as K from '../backend/tfjs_backend';\r\nimport {Layer, LayerArgs} from '../engine/topology';\r\nimport {Shape} from '../keras_format/common';\r\nimport {Kwargs} from '../types';\r\nimport {getExactlyOneTensor} from '../utils/types_utils';\r\n\r\nexport declare interface GaussianNoiseArgs extends LayerArgs {\r\n  /** Standard Deviation.  */\r\n  stddev: number;\r\n}\r\n\r\nexport class GaussianNoise extends Layer {\r\n  /** @nocollapse */\r\n  static className = 'GaussianNoise';\r\n  readonly stddev: number;\r\n\r\n  constructor(args: GaussianNoiseArgs) {\r\n    super(args);\r\n    this.supportsMasking = true;\r\n    this.stddev = args.stddev;\r\n  }\r\n\r\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\r\n    return inputShape;\r\n  }\r\n\r\n  getConfig() {\r\n    const baseConfig = super.getConfig();\r\n    const config = {stddev: this.stddev};\r\n    Object.assign(config, baseConfig);\r\n    return config;\r\n  }\r\n\r\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\r\n    return tidy(() => {\r\n      this.invokeCallHook(inputs, kwargs);\r\n      const input = getExactlyOneTensor(inputs);\r\n      const noised = () =>\r\n          K.randomNormal(input.shape, 0, this.stddev).add(input);\r\n      const output =\r\n          K.inTrainPhase(noised, () => input, kwargs['training'] || false);\r\n      return output;\r\n    });\r\n  }\r\n}\r\nserialization.registerClass(GaussianNoise);\r\n\r\nexport declare interface GaussianDropoutArgs extends LayerArgs {\r\n  /** drop probability.  */\r\n  rate: number;\r\n}\r\n\r\nexport class GaussianDropout extends Layer {\r\n  /** @nocollapse */\r\n  static className = 'GaussianDropout';\r\n  readonly rate: number;\r\n\r\n  constructor(args: GaussianDropoutArgs) {\r\n    super(args);\r\n    this.supportsMasking = true;\r\n    this.rate = args.rate;\r\n  }\r\n\r\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\r\n    return inputShape;\r\n  }\r\n\r\n  getConfig() {\r\n    const baseConfig = super.getConfig();\r\n    const config = {rate: this.rate};\r\n    Object.assign(config, baseConfig);\r\n    return config;\r\n  }\r\n\r\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\r\n    return tidy(() => {\r\n      this.invokeCallHook(inputs, kwargs);\r\n      const input = getExactlyOneTensor(inputs);\r\n      if (this.rate > 0 && this.rate < 1) {\r\n        const noised = () => {\r\n          const stddev = Math.sqrt(this.rate / (1 - this.rate));\r\n          return input.mul(K.randomNormal(input.shape, 1, stddev));\r\n        };\r\n        return K.inTrainPhase(noised, () => input, kwargs['training'] || false);\r\n      }\r\n      return input;\r\n    });\r\n  }\r\n}\r\nserialization.registerClass(GaussianDropout);\r\n\r\nexport declare interface AlphaDropoutArgs extends LayerArgs {\r\n  /** drop probability.  */\r\n  rate: number;\r\n  /**\r\n   * A 1-D `Tensor` of type `int32`, representing the\r\n   * shape for randomly generated keep/drop flags.\r\n   */\r\n  noiseShape?: Shape;\r\n}\r\n\r\n/**\r\n * Applies Alpha Dropout to the input.\r\n *\r\n * As it is a regularization layer, it is only active at training time.\r\n *\r\n * Alpha Dropout is a `Dropout` that keeps mean and variance of inputs\r\n * to their original values, in order to ensure the self-normalizing property\r\n * even after this dropout.\r\n * Alpha Dropout fits well to Scaled Exponential Linear Units\r\n * by randomly setting activations to the negative saturation value.\r\n *\r\n * Arguments:\r\n *   - `rate`: float, drop probability (as with `Dropout`).\r\n *     The multiplicative noise will have\r\n *     standard deviation `sqrt(rate / (1 - rate))`.\r\n *   - `noise_shape`: A 1-D `Tensor` of type `int32`, representing the\r\n *     shape for randomly generated keep/drop flags.\r\n *\r\n * Input shape:\r\n *   Arbitrary. Use the keyword argument `inputShape`\r\n *   (tuple of integers, does not include the samples axis)\r\n *   when using this layer as the first layer in a model.\r\n *\r\n * Output shape:\r\n *   Same shape as input.\r\n *\r\n * References:\r\n *   - [Self-Normalizing Neural Networks](https://arxiv.org/abs/1706.02515)\r\n */\r\nexport class AlphaDropout extends Layer {\r\n  /** @nocollapse */\r\n  static className = 'AlphaDropout';\r\n  readonly rate: number;\r\n  readonly noiseShape: Shape;\r\n\r\n  constructor(args: AlphaDropoutArgs) {\r\n    super(args);\r\n    this.supportsMasking = true;\r\n    this.rate = args.rate;\r\n    this.noiseShape = args.noiseShape;\r\n  }\r\n\r\n  _getNoiseShape(inputs: Tensor|Tensor[]) {\r\n    return this.noiseShape || getExactlyOneTensor(inputs).shape;\r\n  }\r\n\r\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\r\n    return inputShape;\r\n  }\r\n\r\n  getConfig() {\r\n    const baseConfig = super.getConfig();\r\n    const config = {rate: this.rate};\r\n    Object.assign(config, baseConfig);\r\n    return config;\r\n  }\r\n\r\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\r\n    return tidy(() => {\r\n      if (this.rate < 1 && this.rate > 0) {\r\n        const noiseShape = this._getNoiseShape(inputs);\r\n\r\n        const droppedInputs = () => {\r\n          const input = getExactlyOneTensor(inputs);\r\n\r\n          const alpha = 1.6732632423543772848170429916717;\r\n          const scale = 1.0507009873554804934193349852946;\r\n\r\n          const alphaP = -alpha * scale;\r\n\r\n          let keptIdx = greaterEqual(randomUniform(noiseShape), this.rate);\r\n\r\n          keptIdx = K.cast(keptIdx, 'float32');  // get default dtype.\r\n\r\n          // Get affine transformation params.\r\n          const a = ((1 - this.rate) * (1 + this.rate * alphaP ** 2)) ** -0.5;\r\n          const b = -a * alphaP * this.rate;\r\n\r\n          // Apply mask.\r\n          const x = input.mul(keptIdx).add(keptIdx.add(-1).mul(alphaP));\r\n\r\n          return x.mul(a).add(b);\r\n        };\r\n        return K.inTrainPhase(\r\n            droppedInputs, () => getExactlyOneTensor(inputs),\r\n            kwargs['training'] || false);\r\n      }\r\n      return inputs;\r\n    });\r\n  }\r\n}\r\nserialization.registerClass(AlphaDropout);\r\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Normalization layers.\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {moments, serialization, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {Constraint, ConstraintIdentifier, getConstraint, serializeConstraint} from '../constraints';\nimport {InputSpec, Layer, LayerArgs} from '../engine/topology';\nimport {NotImplementedError, ValueError} from '../errors';\nimport {getInitializer, Initializer, InitializerIdentifier, serializeInitializer} from '../initializers';\nimport {Shape} from '../keras_format/common';\nimport {getRegularizer, Regularizer, RegularizerIdentifier, serializeRegularizer} from '../regularizers';\nimport {Kwargs} from '../types';\nimport * as generic_utils from '../utils/generic_utils';\nimport * as math_utils from '../utils/math_utils';\nimport {getExactlyOneShape, getExactlyOneTensor} from '../utils/types_utils';\nimport {LayerVariable} from '../variables';\n\n/**\n * Applies batch normalization on x given mean, var, beta and gamma.\n *\n * I.e. returns:\n *   `output = (x - mean) / (sqrt(var) + epsilon) * gamma + beta`\n *\n * @param x Input tensor.\n * @param mean Mean of batch.\n * @param variance Variance of batch.\n * @param beta Tensor with which to center the input.\n * @param gamma Tensor by which to scale the input.\n * @param epsilon Fuzz factor.\n * @returns The result of the batch normalization.\n */\nexport function batchNormalization(\n    x: Tensor, mean: Tensor, variance: Tensor, beta?: Tensor, gamma?: Tensor,\n    epsilon = 1e-3): Tensor {\n  let out: Tensor;\n  if (x.rank === 2) {\n    out = tfc.batchNorm2d(\n        x as Tensor2D, mean as Tensor2D | Tensor1D,\n        variance as Tensor2D | Tensor1D, beta as Tensor2D | Tensor1D,\n        gamma as Tensor2D | Tensor1D, epsilon);\n  } else if (x.rank === 3) {\n    // TODO(cais): Check rank; give proper error message.\n    out = tfc.batchNorm3d(\n        x as Tensor3D, mean as Tensor3D | Tensor1D,\n        variance as Tensor3D | Tensor1D, beta as Tensor3D | Tensor1D,\n        gamma as Tensor3D | Tensor1D, epsilon);\n  } else if (x.rank === 4) {\n    out = tfc.batchNorm4d(\n        x as Tensor4D, mean as Tensor4D | Tensor1D,\n        variance as Tensor4D | Tensor1D, beta as Tensor4D | Tensor1D,\n        gamma as Tensor4D | Tensor1D, epsilon);\n  } else {\n    throw new NotImplementedError(\n        `batchNormalization is not implemented for array of rank ${x.rank} ` +\n        `yet`);\n  }\n  return out;\n}\n\n/**\n * Non-broadcasting batch normalization for use in training (not inference).\n *\n * The input is normalized to zero mean and unit variance along the\n * `reductionAxes`, followed by scaling with `gamma` and shifted by `beta`.\n * The result of that is returned as the first element\n * of the returned `Array`. The other two elements are the mean and variance,\n * respectively.\n *\n * @param x Input tensor to be normalized.\n * @param gamma Tensor by which to scale the input.\n * @param beta Tensor by which to center the input.\n * @param reductionAxes Axes over which to normalize.\n * @param epsilon Fuzz factor.\n * @returns An `Array` of three `Tensors`:\n *   [normalized tensor, mean of input, variance of input].\n */\nfunction regularNormalizeBatchInTraining(\n    x: Tensor, gamma: Tensor, beta: Tensor, reductionAxes: number[],\n    epsilon = 1e-3): [Tensor, Tensor, Tensor] {\n  return tidy(() => {\n           const meanAndVariance = tfc.moments(x, reductionAxes);\n           const mean = meanAndVariance.mean;\n           const variance = meanAndVariance.variance;\n           const normed =\n               batchNormalization(x, mean, variance, beta, gamma, epsilon);\n           return [normed, mean, variance];\n         }) as [Tensor, Tensor, Tensor];\n}\n\n/**\n * Broadcasting batch normalization for use in training (not inference).\n *\n * The input is normalized to zero mean and unit variance along the\n * `reductionAxes`, followed by scaling with `gamma` and shifted by `beta`.\n * The result of that is returned as the first element\n * of the returned `Array`. The other two elements are the mean and variance,\n * respectively.\n *\n * @param x Input tensor to be normalized.\n * @param gamma Tensor by which to scale the input.\n * @param beta Tensor by which to center the input.\n * @param reductionAxes Axes over which to normalize.\n * @param epsilon Fuzz factor.\n * @returns An `Array` of three `Tensors`:\n *   [normalized tensor, mean of input, variance of input].\n */\nfunction broadcastNormalizeBatchInTraining(\n    x: Tensor, gamma: Tensor, beta: Tensor, reductionAxes: number[],\n    epsilon = 1e-3): [Tensor, Tensor, Tensor] {\n  return tidy(() => {\n           const meanAndVariance = tfc.moments(x, reductionAxes);\n           const mean = meanAndVariance.mean;\n           const variance = meanAndVariance.variance;\n           const targetShape: number[] = [];\n           for (const axis of math_utils.range(0, x.rank)) {\n             if (reductionAxes.indexOf(axis) !== -1) {\n               targetShape.push(1);\n             } else {\n               targetShape.push(x.shape[axis]);\n             }\n           }\n           const broadcastMean = mean.reshape(targetShape);\n           const broadcastVariance = variance.reshape(targetShape);\n           const broadcastGamma =\n               gamma == null ? null : gamma.reshape(targetShape);\n           const broadcastBeta =\n               beta == null ? null : beta.reshape(targetShape);\n           const normed = batchNormalization(\n               x, broadcastMean, broadcastVariance, broadcastBeta,\n               broadcastGamma, epsilon);\n           return [normed, mean, variance];\n         }) as [Tensor, Tensor, Tensor];\n}\n\n/**\n * Batch normalization for use in training (not inference).\n *\n * @param x Input tensor to be normalized.\n * @param gamma Tensor by which to scale the input.\n * @param beta Tensor by which to center the input.\n * @param reductionAxes Axes over which to normalize.\n * @param epsilon Fuzz factor.\n * @returns An `Array` of three `Tensors`:\n *   [normalized tensor, mean of input, variance of input].\n */\nexport function normalizeBatchInTraining(\n    x: Tensor, gamma: Tensor, beta: Tensor, reductionAxes: number[],\n    epsilon = 1e-3): [Tensor, Tensor, Tensor] {\n  if (util.arraysEqual(\n          reductionAxes.slice().sort(), math_utils.range(0, x.rank - 1))) {\n    return regularNormalizeBatchInTraining(\n        x, gamma, beta, reductionAxes, epsilon);\n  } else {\n    return broadcastNormalizeBatchInTraining(\n        x, gamma, beta, reductionAxes, epsilon);\n  }\n}\n\nexport declare interface BatchNormalizationLayerArgs extends LayerArgs {\n  /**\n   * The integer axis that should be normalized (typically the features axis).\n   * Defaults to -1.\n   *\n   * For instance, after a `Conv2D` layer with `data_format=\"channels_first\"`,\n   * set `axis=1` in `batchNormalization`.\n   */\n  axis?: number;\n\n  /**\n   * Momentum of the moving average. Defaults to 0.99.\n   */\n  momentum?: number;\n\n  /**\n   * Small float added to the variance to avoid dividing by zero. Defaults to\n   * 1e-3.\n   */\n  epsilon?: number;\n\n  /**\n   * If `true`, add offset of `beta` to normalized tensor.\n   * If `false`, `beta` is ignored.\n   * Defaults to `true`.\n   */\n  center?: boolean;\n\n  /**\n   * If `true`, multiply by `gamma`.\n   * If `false`, `gamma` is not used.\n   * When the next layer is linear (also e.g. `nn.relu`),\n   * this can be disabled since the scaling will be done by the next layer.\n   * Defaults to `true`.\n   */\n  scale?: boolean;\n\n  /**\n   * Initializer for the beta weight.\n   *  Defaults to 'zeros'.\n   */\n  betaInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Initializer for the gamma weight.\n   *  Defaults to `ones`.\n   */\n  gammaInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Initializer for the moving mean.\n   * Defaults to `zeros`\n   */\n  movingMeanInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Initializer for the moving variance.\n   *  Defaults to 'Ones'.\n   */\n  movingVarianceInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Constraint for the beta weight.\n   */\n  betaConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Constraint for gamma weight.\n   */\n  gammaConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Regularizer for the beta weight.\n   */\n  betaRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Regularizer for the gamma weight.\n   */\n  gammaRegularizer?: RegularizerIdentifier|Regularizer;\n}\n\nexport class BatchNormalization extends Layer {\n  /** @nocollapse */\n  static className = 'BatchNormalization';\n  private readonly axis: number;\n  private readonly momentum: number;\n  private readonly epsilon: number;\n  private readonly center: boolean;\n  private readonly scale: boolean;\n  private readonly betaInitializer: Initializer;\n  private readonly gammaInitializer: Initializer;\n  private readonly movingMeanInitializer: Initializer;\n  private readonly movingVarianceInitializer: Initializer;\n  private readonly betaConstraint: Constraint;\n  private readonly gammaConstraint: Constraint;\n  private readonly betaRegularizer: Regularizer;\n  private readonly gammaRegularizer: Regularizer;\n  private gamma: LayerVariable;\n  private beta: LayerVariable;\n  private movingMean: LayerVariable;\n  private movingVariance: LayerVariable;\n\n  constructor(args?: BatchNormalizationLayerArgs) {\n    if (args == null) {\n      args = {};\n    }\n    super(args);\n\n    this.supportsMasking = true;\n    this.axis = args.axis == null ? -1 : args.axis;\n    this.momentum = args.momentum == null ? 0.99 : args.momentum;\n    this.epsilon = args.epsilon == null ? 1e-3 : args.epsilon;\n    this.center = args.center == null ? true : args.center;\n    this.scale = args.scale == null ? true : args.scale;\n    this.betaInitializer = getInitializer(args.betaInitializer || 'zeros');\n    this.gammaInitializer = getInitializer(args.gammaInitializer || 'ones');\n    this.movingMeanInitializer =\n        getInitializer(args.movingMeanInitializer || 'zeros');\n    this.movingVarianceInitializer =\n        getInitializer(args.movingVarianceInitializer || 'ones');\n    this.betaConstraint = getConstraint(args.betaConstraint);\n    this.gammaConstraint = getConstraint(args.gammaConstraint);\n    this.betaRegularizer = getRegularizer(args.betaRegularizer);\n    this.gammaRegularizer = getRegularizer(args.gammaRegularizer);\n  }\n\n  public build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n    const axis = this.axis >= 0 ? this.axis : (this.axis + inputShape.length);\n    const dim = inputShape[axis];\n    if (dim == null) {\n      throw new ValueError(\n          `Axis ${axis} of input tensor should have a defined dimension but ` +\n          `the layer received an input with shape ` +\n          `${JSON.stringify(inputShape)}.`);\n    }\n    this.inputSpec =\n        [new InputSpec({ndim: inputShape.length, axes: {[axis]: dim}})];\n    const shape = [dim];\n    if (this.scale) {\n      this.gamma = this.addWeight(\n          'gamma', shape, null, this.gammaInitializer, this.gammaRegularizer,\n          true, this.gammaConstraint);\n    }\n    if (this.center) {\n      this.beta = this.addWeight(\n          'beta', shape, null, this.betaInitializer, this.betaRegularizer, true,\n          this.betaConstraint);\n    }\n    this.movingMean = this.addWeight(\n        'moving_mean', shape, null, this.movingMeanInitializer, null, false);\n    this.movingVariance = this.addWeight(\n        'moving_variance', shape, null, this.movingVarianceInitializer, null,\n        false);\n    this.built = true;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      const training = kwargs['training'] == null ? false : kwargs['training'];\n      const input = getExactlyOneTensor(inputs);\n      const inputShape = input.shape;\n      const ndim = inputShape.length;\n      const reductionAxes = math_utils.range(0, ndim);\n      const axis = this.axis >= 0 ? this.axis : (this.axis + ndim);\n      reductionAxes.splice(axis, 1);\n      const broadcastShape = generic_utils.pyListRepeat(1, ndim);\n      broadcastShape[axis] = inputShape[axis];\n\n      const sortedReductionAxes = reductionAxes.slice();\n      sortedReductionAxes.sort();\n      const needsBroadcasting = !util.arraysEqual(\n          sortedReductionAxes, math_utils.range(0, ndim).slice(0, ndim - 1));\n\n      const normalizeInference: () => Tensor = () => {\n        if (needsBroadcasting) {\n          const broadcastMovingMean =\n              this.movingMean.read().reshape(broadcastShape);\n          const broadcastMovingVariance =\n              this.movingVariance.read().reshape(broadcastShape);\n          const broadcastBeta =\n              this.center ? this.beta.read().reshape(broadcastShape) : null;\n          const broadcastGamma =\n              this.scale ? this.gamma.read().reshape(broadcastShape) : null;\n          return batchNormalization(\n              input, broadcastMovingMean, broadcastMovingVariance,\n              broadcastBeta, broadcastGamma, this.epsilon);\n        } else {\n          return batchNormalization(\n              input, this.movingMean.read(), this.movingVariance.read(),\n              this.beta == null ? null : this.beta.read(),\n              this.gamma == null ? null : this.gamma.read(), this.epsilon);\n        }\n      };\n\n      if (!training) {\n        return normalizeInference();\n      }\n\n      const [normedTraining, mean, variance] = normalizeBatchInTraining(\n          input, this.gamma.read(), this.beta.read(), reductionAxes,\n          this.epsilon);\n\n      const doMovingAverage =\n          (variable: LayerVariable, value: Tensor, momentum: number): void => {\n            tfc.tidy(() => {\n              const decay = 1 - momentum;\n              const origValue = variable.read();\n              const updateDelta = origValue.sub(value).mul(decay);\n              variable.write(origValue.sub(updateDelta));\n            });\n          };\n\n      // Perform updates to moving mean and moving variance for training.\n      // Porting Note: In PyKeras, these updates to `movingMean` and\n      //   `movingAverage` are done as a deferred Graph, added to the `Layer`'s\n      //   `update`s using the `add_update()` method. Here we do it imperatively\n      //   and encapsulate the updates in a function that is invoked\n      //   immediately.\n      const updateMovingMeanAndVariance = () => {\n        doMovingAverage(this.movingMean, mean, this.momentum);\n        doMovingAverage(this.movingVariance, variance, this.momentum);\n      };\n      updateMovingMeanAndVariance();\n\n      return normedTraining;\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      axis: this.axis,\n      momentum: this.momentum,\n      epsilon: this.epsilon,\n      center: this.center,\n      scale: this.scale,\n      betaInitializer: serializeInitializer(this.betaInitializer),\n      gammaInitializer: serializeInitializer(this.gammaInitializer),\n      movingMeanInitializer: serializeInitializer(this.movingMeanInitializer),\n      movingVarianceInitializer:\n          serializeInitializer(this.movingVarianceInitializer),\n      betaRegularizer: serializeRegularizer(this.betaRegularizer),\n      gammaRegularizer: serializeRegularizer(this.gammaRegularizer),\n      betaConstraint: serializeConstraint(this.betaConstraint),\n      gammaConstraint: serializeConstraint(this.gammaConstraint)\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(BatchNormalization);\n\nexport interface LayerNormalizationLayerArgs extends LayerArgs {\n  /**\n   * The axis or axes that should be normalized (typically, the feature axis.)\n   * Defaults to -1 (the last axis.)\n   */\n  axis?: number|number[];\n\n  /**\n   * A small positive float added to variance to avoid divison by zero.\n   * Defaults to 1e-3.\n   */\n  epsilon?: number;\n\n  /**\n   * If `true`, add offset of `beta` to normalized tensor.\n   * If `false`, `beta` is ignored.\n   * Default: `true`.\n   */\n  center?: boolean;\n\n  /**\n   * If `true`, multiply output by `gamma`.\n   * If `false`, `gamma` is not used.\n   * When the next layer is linear, this can be disabled since scaling will\n   * be done by the next layer.\n   * Default: `true`.\n   */\n  scale?: boolean;\n\n  /**\n   * Initializer for the beta weight.\n   * Default: `'zeros'`.\n   */\n  betaInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Initializer for the gamma weight.\n   * Default: `'ones'`.\n   */\n  gammaInitializer?: InitializerIdentifier|Initializer;\n\n  /** Regularizer for the beta weight. */\n  betaRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /** Regularizer for the gamma weight. */\n  gammaRegularizer?: RegularizerIdentifier|Regularizer;\n}\n\nexport class LayerNormalization extends Layer {\n  /** @nocollapse */\n  static className = 'LayerNormalization';\n\n  private axis: number|number[];\n  readonly epsilon: number;\n  readonly center: boolean;\n  readonly scale: boolean;\n  readonly betaInitializer: Initializer;\n  readonly gammaInitializer: Initializer;\n  readonly betaRegularizer: Regularizer;\n  readonly gammaRegularizer: Regularizer;\n\n  private gamma: LayerVariable;\n  private beta: LayerVariable;\n\n  constructor(args?: LayerNormalizationLayerArgs) {\n    if (args == null) {\n      args = {};\n    }\n    super(args);\n\n    this.axis = args.axis == null ? -1 : args.axis;\n    if (typeof this.axis === 'number') {\n      if (!Number.isInteger(this.axis)) {\n        throw new Error(\n            `Expected axis to be an integer, but received ${this.axis}`);\n      }\n    } else if (Array.isArray(this.axis)) {\n      for (const axis of this.axis) {\n        if (!Number.isInteger(axis)) {\n          throw new Error(\n              `Expected axis to be an array of integers, ` +\n              `but received ${JSON.stringify(this.axis)}`);\n        }\n      }\n    } else {\n      throw new Error(\n          `Expected axis to be an integer or an array of integers, ` +\n          `but received ${JSON.stringify(this.axis)}`);\n    }\n\n    this.epsilon = args.epsilon == null ? 1e-3 : args.epsilon;\n    this.center = args.center == null ? true : args.center;\n    this.scale = args.scale == null ? true : args.scale;\n    this.betaInitializer = getInitializer(args.betaInitializer || 'zeros');\n    this.gammaInitializer = getInitializer(args.gammaInitializer || 'ones');\n    this.betaRegularizer = getRegularizer(args.betaRegularizer);\n    this.gammaRegularizer = getRegularizer(args.gammaRegularizer);\n\n    this.supportsMasking = true;\n  }\n\n  public build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n    const nDims = inputShape.length;\n\n    // Convert axis to array and resolve negatives.\n    if (typeof this.axis === 'number') {\n      this.axis = [this.axis];\n    }\n    for (let i = 0; i < this.axis.length; ++i) {\n      if (this.axis[i] < 0) {\n        this.axis[i] += nDims;\n      }\n    }\n\n    // Further validate axes.\n    for (const axis of this.axis) {\n      if (axis < 0 || axis >= nDims) {\n        throw new Error(`Invalid axis: ${axis}`);\n      }\n    }\n    if (this.axis.length !== generic_utils.unique(this.axis).length) {\n      throw new Error(`Found duplicate axes in: ${this.axis}`);\n    }\n\n    const paramShape = this.axis.map(axis => inputShape[axis]) as number[];\n\n    const trainable = true;\n    if (this.scale) {\n      this.gamma = this.addWeight(\n          'gamma', paramShape, 'float32', this.gammaInitializer,\n          this.gammaRegularizer, trainable);\n    } else {\n      this.gamma = null;\n    }\n    if (this.center) {\n      this.beta = this.addWeight(\n          'beta', paramShape, 'float32', this.betaInitializer,\n          this.betaRegularizer, trainable);\n    } else {\n      this.beta = null;\n    }\n\n    this.built = true;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    const input = getExactlyOneTensor(inputs);\n    const inputShape = input.shape;\n    const nDims = inputShape.length;\n\n    return tidy(() => {\n      const keepDims = true;\n      let {mean, variance} = moments(input, this.axis, keepDims);\n      const broadcastShape = generic_utils.pyListRepeat(1, nDims);\n      for (const dim of this.axis as number[]) {\n        broadcastShape[dim] = inputShape[dim];\n      }\n\n      const broadcast = (v: Tensor) => {\n        if (v != null && v.shape.length !== nDims &&\n            this.axis !== [nDims - 1]) {\n          return v.reshape(broadcastShape);\n        } else {\n          return v;\n        }\n      };\n\n      let scale = broadcast(this.gamma.read());\n      let offset = broadcast(this.beta.read());\n\n      // TODO(https://github.com/tensorflow/tfjs/issues/2120): The tiling below\n      // is a workaround for the limitation of core's batchNormalization?d don't\n      // support broadcasting in their gradients. In addition, the tiling is\n      // necessary to ensure correctness on the browser CPU backend regardless\n      // of forward or backward computation. Remove this workaround once the\n      // limitation is addressed. See .\n      const momentsTiling: number[] = [];\n      const scaleOffsetTiling: number[] = [];\n      for (let i = 0; i < nDims; ++i) {\n        if ((this.axis as number[]).indexOf(i) !== -1) {\n          momentsTiling.push(inputShape[i]);\n          scaleOffsetTiling.push(1);\n        } else {\n          momentsTiling.push(1);\n          scaleOffsetTiling.push(inputShape[i]);\n        }\n      }\n      mean = mean.tile(momentsTiling);\n      variance = variance.tile(momentsTiling);\n      scale = scale.tile(scaleOffsetTiling);\n      offset = offset.tile(scaleOffsetTiling);\n\n      return batchNormalization(\n          input, mean, variance, offset, scale, this.epsilon);\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      axis: this.axis,\n      epsilon: this.epsilon,\n      center: this.center,\n      scale: this.scale,\n      betaInitializer: serializeInitializer(this.betaInitializer),\n      gammaInitializer: serializeInitializer(this.gammaInitializer),\n      betaRegularizer: serializeRegularizer(this.betaRegularizer),\n      gammaRegularizer: serializeRegularizer(this.gammaRegularizer)\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(LayerNormalization);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Padding Layers.\n */\n\n// Porting Note: In Python Keras, the padding layers are in convolutional.py,\n//   but we decided to put them in a separate file (padding.ts) for clarity.\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {serialization, Tensor, tidy} from '@tensorflow/tfjs-core';\n\nimport {imageDataFormat} from '../backend/common';\nimport {InputSpec, Layer, LayerArgs} from '../engine/topology';\nimport {ValueError} from '../errors';\nimport {DataFormat, Shape} from '../keras_format/common';\nimport {Kwargs} from '../types';\nimport {getExactlyOneShape, getExactlyOneTensor} from '../utils/types_utils';\n\n/**\n * Pads the middle dimension of a 3D tensor.\n *\n * @param x Input `tf.Tensor` to be padded.\n * @param padding `Array` of 2 integers, how many zeros to add at the start and\n *   end of the middle dimension (i.e., dimension 1).\n * @return A padded 3D `tf.Tensor`.\n */\nexport function temporalPadding(x: Tensor, padding?: [number, number]): Tensor {\n  return tidy(() => {\n    if (x.rank !== 3) {\n      throw new ValueError(\n          `temporalPadding expects input tensor to be 3-D, but received a ` +\n          `${x.rank}-D tensor.`);\n    }\n\n    if (padding == null) {\n      padding = [1, 1];\n    }\n    if (padding.length !== 2) {\n      throw new ValueError(\n          `temporalPadding expects input padding pattern to be a length-2 ` +\n          `array, but received a length-${padding.length} array.`);\n    }\n\n    const pattern: Array<[number, number]> = [[0, 0], padding, [0, 0]];\n    return tfc.pad(x, pattern);\n  });\n}\n\n/**\n * Pads the 2nd and 3rd dimensions of a 4D tensor.\n *\n * @param x Input `tf.Tensor` to be padded.\n * @param padding `Array` of two `Array`s, each of which is an `Array` of two\n *   integers. The amount of padding at the beginning and end of the 2nd and 3rd\n *   dimensions, respectively.\n * @param dataFormat 'channelsLast' (default) or 'channelsFirst'.\n * @return Padded 4D `tf.Tensor`.\n */\nexport function spatial2dPadding(\n    x: Tensor, padding?: [[number, number], [number, number]],\n    dataFormat?: DataFormat): Tensor {\n  return tidy(() => {\n    if (x.rank !== 4) {\n      throw new ValueError(\n          `temporalPadding expects input tensor to be 4-D, but received a ` +\n          `${x.rank}-D tensor.`);\n    }\n\n    if (padding == null) {\n      padding = [[1, 1], [1, 1]];\n    }\n    if (padding.length !== 2 || padding[0].length !== 2 ||\n        padding[1].length !== 2) {\n      throw new ValueError(\n          'spatial2dPadding expects `padding` to be an Array of two Arrays, ' +\n          'each of which is an Array of two integers.');\n    }\n\n    if (dataFormat == null) {\n      dataFormat = imageDataFormat();\n    }\n    if (dataFormat !== 'channelsLast' && dataFormat !== 'channelsFirst') {\n      throw new ValueError(\n          `Unknown data format: ${dataFormat}. ` +\n          `Supported data formats are 'channelsLast' and 'channelsFirst.`);\n    }\n\n    let pattern: Array<[number, number]>;\n    if (dataFormat === 'channelsFirst') {\n      pattern = [[0, 0], [0, 0], padding[0], padding[1]];\n    } else {\n      pattern = [[0, 0], padding[0], padding[1], [0, 0]];\n    }\n\n    return tfc.pad(x, pattern);\n  });\n}\n\nexport declare interface ZeroPadding2DLayerArgs extends LayerArgs {\n  /**\n   * Integer, or `Array` of 2 integers, or `Array` of 2 `Array`s, each of\n   * which is an `Array` of 2 integers.\n   * - If integer, the same symmetric padding is applied to width and height.\n   * - If Array` of 2 integers, interpreted as two different symmetric values\n   *   for height and width:\n   *   `[symmetricHeightPad, symmetricWidthPad]`.\n   * - If `Array` of 2 `Array`s, interpreted as:\n   *   `[[topPad, bottomPad], [leftPad, rightPad]]`.\n   */\n  padding?: number|[number, number]|[[number, number], [number, number]];\n\n  /**\n   * One of `'channelsLast'` (default) and `'channelsFirst'`.\n   *\n   * The ordering of the dimensions in the inputs.\n   * `channelsLast` corresponds to inputs with shape\n   * `[batch, height, width, channels]` while `channelsFirst`\n   * corresponds to inputs with shape\n   * `[batch, channels, height, width]`.\n   */\n  dataFormat?: DataFormat;\n}\n\nexport class ZeroPadding2D extends Layer {\n  /** @nocollapse */\n  static className = 'ZeroPadding2D';\n  readonly dataFormat: DataFormat;\n  readonly padding: [[number, number], [number, number]];\n\n  constructor(args?: ZeroPadding2DLayerArgs) {\n    if (args == null) {\n      args = {};\n    }\n    super(args);\n\n    this.dataFormat =\n        args.dataFormat == null ? imageDataFormat() : args.dataFormat;\n    // TODO(cais): Maybe refactor the following logic surrounding `padding`\n    //   into a helper method.\n    if (args.padding == null) {\n      this.padding = [[1, 1], [1, 1]];\n    } else if (typeof args.padding === 'number') {\n      this.padding =\n          [[args.padding, args.padding], [args.padding, args.padding]];\n    } else {\n      args.padding = args.padding;\n      if (args.padding.length !== 2) {\n        throw new ValueError(\n            `ZeroPadding2D expects padding to be a length-2 array, but ` +\n            `received a length-${args.padding.length} array.`);\n      }\n\n      let heightPadding: [number, number];\n      let widthPadding: [number, number];\n      if (typeof args.padding[0] === 'number') {\n        heightPadding = [args.padding[0], args.padding[0]];\n        widthPadding = [args.padding[1] as number, args.padding[1] as number];\n      } else {\n        args.padding = args.padding as [[number, number], [number, number]];\n\n        if (args.padding[0].length !== 2) {\n          throw new ValueError(\n              `ZeroPadding2D expects height padding to be a length-2 array, ` +\n              `but received a length-${args.padding[0].length} array.`);\n        }\n        heightPadding = args.padding[0] as [number, number];\n\n        if (args.padding[1].length !== 2) {\n          throw new ValueError(\n              `ZeroPadding2D expects width padding to be a length-2 array, ` +\n              `but received a length-${args.padding[1].length} array.`);\n        }\n        widthPadding = args.padding[1] as [number, number];\n      }\n      this.padding = [heightPadding, widthPadding];\n    }\n    this.inputSpec = [new InputSpec({ndim: 4})];\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n\n    let rows: number;\n    let cols: number;\n    if (this.dataFormat === 'channelsFirst') {\n      if (inputShape[2] != null && inputShape[2] >= 0) {\n        rows = inputShape[2] + this.padding[0][0] + this.padding[0][1];\n      } else {\n        rows = null;\n      }\n      if (inputShape[3] != null && inputShape[3] >= 0) {\n        cols = inputShape[3] + this.padding[1][0] + this.padding[1][1];\n      } else {\n        cols = null;\n      }\n      return [inputShape[0], inputShape[1], rows, cols];\n    } else {\n      if (inputShape[1] != null && inputShape[1] >= 0) {\n        rows = inputShape[1] + this.padding[0][0] + this.padding[0][1];\n      } else {\n        rows = null;\n      }\n      if (inputShape[2] != null && inputShape[2] >= 0) {\n        cols = inputShape[2] + this.padding[1][0] + this.padding[1][1];\n      } else {\n        cols = null;\n      }\n      return [inputShape[0], rows, cols, inputShape[3]];\n    }\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(\n        () => spatial2dPadding(\n            getExactlyOneTensor(inputs), this.padding, this.dataFormat));\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      padding: this.padding,\n      dataFormat: this.dataFormat,\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(ZeroPadding2D);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * TensorFlow.js Layers: Pooling Layers.\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {serialization, Tensor, Tensor3D, Tensor4D, Tensor5D, tidy} from '@tensorflow/tfjs-core';\n\nimport {imageDataFormat} from '../backend/common';\nimport * as K from '../backend/tfjs_backend';\nimport {checkDataFormat, checkPaddingMode, checkPoolMode} from '../common';\nimport {InputSpec} from '../engine/topology';\nimport {Layer, LayerArgs} from '../engine/topology';\nimport {NotImplementedError, ValueError} from '../errors';\nimport {DataFormat, PaddingMode, PoolMode, Shape} from '../keras_format/common';\nimport {Kwargs} from '../types';\nimport {convOutputLength} from '../utils/conv_utils';\nimport {assertPositiveInteger} from '../utils/generic_utils';\nimport {getExactlyOneShape, getExactlyOneTensor} from '../utils/types_utils';\n\nimport {preprocessConv2DInput, preprocessConv3DInput} from './convolutional';\n\n/**\n * 2D pooling.\n * @param x\n * @param poolSize\n * @param stridesdes strides. Defaults to [1, 1].\n * @param padding padding. Defaults to 'valid'.\n * @param dataFormat data format. Defaults to 'channelsLast'.\n * @param poolMode Mode of pooling. Defaults to 'max'.\n * @returns Result of the 2D pooling.\n */\nexport function pool2d(\n    x: Tensor, poolSize: [number, number], strides?: [number, number],\n    padding?: PaddingMode, dataFormat?: DataFormat,\n    poolMode?: PoolMode): Tensor {\n  return tidy(() => {\n    checkDataFormat(dataFormat);\n    checkPoolMode(poolMode);\n    checkPaddingMode(padding);\n    if (strides == null) {\n      strides = [1, 1];\n    }\n    if (padding == null) {\n      padding = 'valid';\n    }\n    if (dataFormat == null) {\n      dataFormat = imageDataFormat();\n    }\n    if (poolMode == null) {\n      poolMode = 'max';\n    }\n\n    // TODO(cais): Remove the preprocessing step once deeplearn.js supports\n    // dataFormat as an input argument.\n    x = preprocessConv2DInput(x, dataFormat);  // x is NHWC after preprocessing.\n    let y: Tensor;\n    const paddingString = (padding === 'same') ? 'same' : 'valid';\n    if (poolMode === 'max') {\n      // TODO(cais): Rank check?\n      y = tfc.maxPool(x as Tensor4D, poolSize, strides, paddingString);\n    } else {  // 'avg'\n      // TODO(cais): Check the dtype and rank of x and give clear error message\n      //   if those are incorrect.\n      y = tfc.avgPool(\n          // TODO(cais): Rank check?\n          x as Tensor3D | Tensor4D, poolSize, strides, paddingString);\n    }\n    if (dataFormat === 'channelsFirst') {\n      y = tfc.transpose(y, [0, 3, 1, 2]);  // NHWC -> NCHW.\n    }\n    return y;\n  });\n}\n\n/**\n * 3D pooling.\n * @param x\n * @param poolSize. Default to [1, 1, 1].\n * @param strides strides. Defaults to [1, 1, 1].\n * @param padding padding. Defaults to 'valid'.\n * @param dataFormat data format. Defaults to 'channelsLast'.\n * @param poolMode Mode of pooling. Defaults to 'max'.\n * @returns Result of the 3D pooling.\n */\nexport function pool3d(\n    x: Tensor5D, poolSize: [number, number, number],\n    strides?: [number, number, number], padding?: PaddingMode,\n    dataFormat?: DataFormat, poolMode?: PoolMode): Tensor {\n  return tidy(() => {\n    checkDataFormat(dataFormat);\n    checkPoolMode(poolMode);\n    checkPaddingMode(padding);\n    if (strides == null) {\n      strides = [1, 1, 1];\n    }\n    if (padding == null) {\n      padding = 'valid';\n    }\n    if (dataFormat == null) {\n      dataFormat = imageDataFormat();\n    }\n    if (poolMode == null) {\n      poolMode = 'max';\n    }\n\n    // x is NDHWC after preprocessing.\n    x = preprocessConv3DInput(x as Tensor, dataFormat) as Tensor5D;\n    let y: Tensor;\n    const paddingString = (padding === 'same') ? 'same' : 'valid';\n    if (poolMode === 'max') {\n      y = tfc.maxPool3d(x, poolSize, strides, paddingString);\n    } else {  // 'avg'\n      y = tfc.avgPool3d(x, poolSize, strides, paddingString);\n    }\n    if (dataFormat === 'channelsFirst') {\n      y = tfc.transpose(y, [0, 4, 1, 2, 3]);  // NDHWC -> NCDHW.\n    }\n    return y;\n  });\n}\n\nexport declare interface Pooling1DLayerArgs extends LayerArgs {\n  /**\n   * Size of the window to pool over, should be an integer.\n   */\n  poolSize?: number|[number];\n  /**\n   * Period at which to sample the pooled values.\n   *\n   * If `null`, defaults to `poolSize`.\n   */\n  strides?: number|[number];\n  /** How to fill in data that's not an integer multiple of poolSize. */\n  padding?: PaddingMode;\n}\n\n/**\n * Abstract class for different pooling 1D layers.\n */\nexport abstract class Pooling1D extends Layer {\n  protected readonly poolSize: [number];\n  protected readonly strides: [number];\n  protected readonly padding: PaddingMode;\n\n  /**\n   *\n   * @param args Parameters for the Pooling layer.\n   *\n   * config.poolSize defaults to 2.\n   */\n  constructor(args: Pooling1DLayerArgs) {\n    if (args.poolSize == null) {\n      args.poolSize = 2;\n    }\n    super(args);\n    if (typeof args.poolSize === 'number') {\n      this.poolSize = [args.poolSize];\n    } else if (\n        Array.isArray(args.poolSize) &&\n        (args.poolSize as number[]).length === 1 &&\n        typeof (args.poolSize as number[])[0] === 'number') {\n      this.poolSize = args.poolSize;\n    } else {\n      throw new ValueError(\n          `poolSize for 1D convolutional layer must be a number or an ` +\n          `Array of a single number, but received ` +\n          `${JSON.stringify(args.poolSize)}`);\n    }\n    assertPositiveInteger(this.poolSize, 'poolSize');\n    if (args.strides == null) {\n      this.strides = this.poolSize;\n    } else {\n      if (typeof args.strides === 'number') {\n        this.strides = [args.strides];\n      } else if (\n          Array.isArray(args.strides) &&\n          (args.strides as number[]).length === 1 &&\n          typeof (args.strides as number[])[0] === 'number') {\n        this.strides = args.strides;\n      } else {\n        throw new ValueError(\n            `strides for 1D convolutional layer must be a number or an ` +\n            `Array of a single number, but received ` +\n            `${JSON.stringify(args.strides)}`);\n      }\n    }\n    assertPositiveInteger(this.strides, 'strides');\n\n    this.padding = args.padding == null ? 'valid' : args.padding;\n    checkPaddingMode(this.padding);\n    this.inputSpec = [new InputSpec({ndim: 3})];\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    const length = convOutputLength(\n        inputShape[1], this.poolSize[0], this.padding, this.strides[0]);\n    return [inputShape[0], length, inputShape[2]];\n  }\n\n  protected abstract poolingFunction(\n      inputs: Tensor, poolSize: [number, number], strides: [number, number],\n      padding: PaddingMode, dataFormat: DataFormat): Tensor;\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      this.invokeCallHook(inputs, kwargs);\n      // Add dummy last dimension.\n      inputs = K.expandDims(getExactlyOneTensor(inputs), 2);\n      const output = this.poolingFunction(\n          getExactlyOneTensor(inputs), [this.poolSize[0], 1],\n          [this.strides[0], 1], this.padding, 'channelsLast');\n      // Remove dummy last dimension.\n      return tfc.squeeze(output, [2]);\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {\n      poolSize: this.poolSize,\n      padding: this.padding,\n      strides: this.strides,\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\n\nexport class MaxPooling1D extends Pooling1D {\n  /** @nocollapse */\n  static className = 'MaxPooling1D';\n  constructor(args: Pooling1DLayerArgs) {\n    super(args);\n  }\n\n  protected poolingFunction(\n      inputs: Tensor, poolSize: [number, number], strides: [number, number],\n      padding: PaddingMode, dataFormat: DataFormat): Tensor {\n    checkDataFormat(dataFormat);\n    checkPaddingMode(padding);\n    return pool2d(inputs, poolSize, strides, padding, dataFormat, 'max');\n  }\n}\nserialization.registerClass(MaxPooling1D);\n\nexport class AveragePooling1D extends Pooling1D {\n  /** @nocollapse */\n  static className = 'AveragePooling1D';\n  constructor(args: Pooling1DLayerArgs) {\n    super(args);\n  }\n\n  protected poolingFunction(\n      inputs: Tensor, poolSize: [number, number], strides: [number, number],\n      padding: PaddingMode, dataFormat: DataFormat): Tensor {\n    checkDataFormat(dataFormat);\n    checkPaddingMode(padding);\n    return pool2d(inputs, poolSize, strides, padding, dataFormat, 'avg');\n  }\n}\nserialization.registerClass(AveragePooling1D);\n\nexport declare interface Pooling2DLayerArgs extends LayerArgs {\n  /**\n   * Factors by which to downscale in each dimension [vertical, horizontal].\n   * Expects an integer or an array of 2 integers.\n   *\n   * For example, `[2, 2]` will halve the input in both spatial dimension.\n   * If only one integer is specified, the same window length\n   * will be used for both dimensions.\n   */\n  poolSize?: number|[number, number];\n\n  /**\n   * The size of the stride in each dimension of the pooling window. Expects\n   * an integer or an array of 2 integers. Integer, tuple of 2 integers, or\n   * None.\n   *\n   * If `null`, defaults to `poolSize`.\n   */\n  strides?: number|[number, number];\n\n  /** The padding type to use for the pooling layer. */\n  padding?: PaddingMode;\n  /** The data format to use for the pooling layer. */\n  dataFormat?: DataFormat;\n}\n\n/**\n * Abstract class for different pooling 2D layers.\n */\nexport abstract class Pooling2D extends Layer {\n  protected readonly poolSize: [number, number];\n  protected readonly strides: [number, number];\n  protected readonly padding: PaddingMode;\n  protected readonly dataFormat: DataFormat;\n\n  constructor(args: Pooling2DLayerArgs) {\n    if (args.poolSize == null) {\n      args.poolSize = [2, 2];\n    }\n    super(args);\n    this.poolSize = Array.isArray(args.poolSize) ?\n        args.poolSize :\n        [args.poolSize, args.poolSize];\n    if (args.strides == null) {\n      this.strides = this.poolSize;\n    } else if (Array.isArray(args.strides)) {\n      if (args.strides.length !== 2) {\n        throw new ValueError(\n            `If the strides property of a 2D pooling layer is an Array, ` +\n            `it is expected to have a length of 2, but received length ` +\n            `${args.strides.length}.`);\n      }\n      this.strides = args.strides;\n    } else {\n      // `config.strides` is a number.\n      this.strides = [args.strides, args.strides];\n    }\n    assertPositiveInteger(this.poolSize, 'poolSize');\n    assertPositiveInteger(this.strides, 'strides');\n    this.padding = args.padding == null ? 'valid' : args.padding;\n    this.dataFormat =\n        args.dataFormat == null ? 'channelsLast' : args.dataFormat;\n    checkDataFormat(this.dataFormat);\n    checkPaddingMode(this.padding);\n\n    this.inputSpec = [new InputSpec({ndim: 4})];\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    let rows =\n        this.dataFormat === 'channelsFirst' ? inputShape[2] : inputShape[1];\n    let cols =\n        this.dataFormat === 'channelsFirst' ? inputShape[3] : inputShape[2];\n    rows =\n        convOutputLength(rows, this.poolSize[0], this.padding, this.strides[0]);\n    cols =\n        convOutputLength(cols, this.poolSize[1], this.padding, this.strides[1]);\n    if (this.dataFormat === 'channelsFirst') {\n      return [inputShape[0], inputShape[1], rows, cols];\n    } else {\n      return [inputShape[0], rows, cols, inputShape[3]];\n    }\n  }\n\n  protected abstract poolingFunction(\n      inputs: Tensor, poolSize: [number, number], strides: [number, number],\n      padding: PaddingMode, dataFormat: DataFormat): Tensor;\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      this.invokeCallHook(inputs, kwargs);\n      return this.poolingFunction(\n          getExactlyOneTensor(inputs), this.poolSize, this.strides,\n          this.padding, this.dataFormat);\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {\n      poolSize: this.poolSize,\n      padding: this.padding,\n      strides: this.strides,\n      dataFormat: this.dataFormat\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\n\nexport class MaxPooling2D extends Pooling2D {\n  /** @nocollapse */\n  static className = 'MaxPooling2D';\n  constructor(args: Pooling2DLayerArgs) {\n    super(args);\n  }\n\n  protected poolingFunction(\n      inputs: Tensor, poolSize: [number, number], strides: [number, number],\n      padding: PaddingMode, dataFormat: DataFormat): Tensor {\n    checkDataFormat(dataFormat);\n    checkPaddingMode(padding);\n    return pool2d(inputs, poolSize, strides, padding, dataFormat, 'max');\n  }\n}\nserialization.registerClass(MaxPooling2D);\n\nexport class AveragePooling2D extends Pooling2D {\n  /** @nocollapse */\n  static className = 'AveragePooling2D';\n  constructor(args: Pooling2DLayerArgs) {\n    super(args);\n  }\n\n  protected poolingFunction(\n      inputs: Tensor, poolSize: [number, number], strides: [number, number],\n      padding: PaddingMode, dataFormat: DataFormat): Tensor {\n    checkDataFormat(dataFormat);\n    checkPaddingMode(padding);\n    return pool2d(inputs, poolSize, strides, padding, dataFormat, 'avg');\n  }\n}\nserialization.registerClass(AveragePooling2D);\n\nexport declare interface Pooling3DLayerArgs extends LayerArgs {\n  /**\n   * Factors by which to downscale in each dimension [depth, height, width].\n   * Expects an integer or an array of 3 integers.\n   *\n   * For example, `[2, 2, 2]` will halve the input in three dimensions.\n   * If only one integer is specified, the same window length\n   * will be used for all dimensions.\n   */\n  poolSize?: number|[number, number, number];\n\n  /**\n   * The size of the stride in each dimension of the pooling window. Expects\n   * an integer or an array of 3 integers. Integer, tuple of 3 integers, or\n   * None.\n   *\n   * If `null`, defaults to `poolSize`.\n   */\n  strides?: number|[number, number, number];\n\n  /** The padding type to use for the pooling layer. */\n  padding?: PaddingMode;\n  /** The data format to use for the pooling layer. */\n  dataFormat?: DataFormat;\n}\n\n/**\n * Abstract class for different pooling 3D layers.\n */\nexport abstract class Pooling3D extends Layer {\n  protected readonly poolSize: [number, number, number];\n  protected readonly strides: [number, number, number];\n  protected readonly padding: PaddingMode;\n  protected readonly dataFormat: DataFormat;\n\n  constructor(args: Pooling3DLayerArgs) {\n    if (args.poolSize == null) {\n      args.poolSize = [2, 2, 2];\n    }\n    super(args);\n    this.poolSize = Array.isArray(args.poolSize) ?\n        args.poolSize :\n        [args.poolSize, args.poolSize, args.poolSize];\n    if (args.strides == null) {\n      this.strides = this.poolSize;\n    } else if (Array.isArray(args.strides)) {\n      if (args.strides.length !== 3) {\n        throw new ValueError(\n            `If the strides property of a 3D pooling layer is an Array, ` +\n            `it is expected to have a length of 3, but received length ` +\n            `${args.strides.length}.`);\n      }\n      this.strides = args.strides;\n    } else {\n      // `config.strides` is a number.\n      this.strides = [args.strides, args.strides, args.strides];\n    }\n    assertPositiveInteger(this.poolSize, 'poolSize');\n    assertPositiveInteger(this.strides, 'strides');\n    this.padding = args.padding == null ? 'valid' : args.padding;\n    this.dataFormat =\n        args.dataFormat == null ? 'channelsLast' : args.dataFormat;\n    checkDataFormat(this.dataFormat);\n    checkPaddingMode(this.padding);\n\n    this.inputSpec = [new InputSpec({ndim: 5})];\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    let depths =\n        this.dataFormat === 'channelsFirst' ? inputShape[2] : inputShape[1];\n    let rows =\n        this.dataFormat === 'channelsFirst' ? inputShape[3] : inputShape[2];\n    let cols =\n        this.dataFormat === 'channelsFirst' ? inputShape[4] : inputShape[3];\n    depths = convOutputLength(\n        depths, this.poolSize[0], this.padding, this.strides[0]);\n    rows =\n        convOutputLength(rows, this.poolSize[1], this.padding, this.strides[1]);\n    cols =\n        convOutputLength(cols, this.poolSize[2], this.padding, this.strides[2]);\n    if (this.dataFormat === 'channelsFirst') {\n      return [inputShape[0], inputShape[1], depths, rows, cols];\n    } else {\n      return [inputShape[0], depths, rows, cols, inputShape[4]];\n    }\n  }\n\n  protected abstract poolingFunction(\n      inputs: Tensor, poolSize: [number, number, number],\n      strides: [number, number, number], padding: PaddingMode,\n      dataFormat: DataFormat): Tensor;\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      this.invokeCallHook(inputs, kwargs);\n      return this.poolingFunction(\n          getExactlyOneTensor(inputs), this.poolSize, this.strides,\n          this.padding, this.dataFormat);\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {\n      poolSize: this.poolSize,\n      padding: this.padding,\n      strides: this.strides,\n      dataFormat: this.dataFormat\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\n\nexport class MaxPooling3D extends Pooling3D {\n  /** @nocollapse */\n  static className = 'MaxPooling3D';\n  constructor(args: Pooling3DLayerArgs) {\n    super(args);\n  }\n\n  protected poolingFunction(\n      inputs: Tensor, poolSize: [number, number, number],\n      strides: [number, number, number], padding: PaddingMode,\n      dataFormat: DataFormat): Tensor {\n    checkDataFormat(dataFormat);\n    checkPaddingMode(padding);\n    return pool3d(\n        inputs as Tensor5D, poolSize, strides, padding, dataFormat, 'max');\n  }\n}\nserialization.registerClass(MaxPooling3D);\n\nexport class AveragePooling3D extends Pooling3D {\n  /** @nocollapse */\n  static className = 'AveragePooling3D';\n  constructor(args: Pooling3DLayerArgs) {\n    super(args);\n  }\n\n  protected poolingFunction(\n      inputs: Tensor, poolSize: [number, number, number],\n      strides: [number, number, number], padding: PaddingMode,\n      dataFormat: DataFormat): Tensor {\n    checkDataFormat(dataFormat);\n    checkPaddingMode(padding);\n    return pool3d(\n        inputs as Tensor5D, poolSize, strides, padding, dataFormat, 'avg');\n  }\n}\nserialization.registerClass(AveragePooling3D);\n\n/**\n * Abstract class for different global pooling 1D layers.\n */\nexport abstract class GlobalPooling1D extends Layer {\n  constructor(args: LayerArgs) {\n    super(args);\n    this.inputSpec = [new InputSpec({ndim: 3})];\n  }\n\n  computeOutputShape(inputShape: Shape): Shape {\n    return [inputShape[0], inputShape[2]];\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    throw new NotImplementedError();\n  }\n}\n\nexport class GlobalAveragePooling1D extends GlobalPooling1D {\n  /** @nocollapse */\n  static className = 'GlobalAveragePooling1D';\n  constructor(args?: LayerArgs) {\n    super(args || {});\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      const input = getExactlyOneTensor(inputs);\n      return tfc.mean(input, 1);\n    });\n  }\n}\nserialization.registerClass(GlobalAveragePooling1D);\n\nexport class GlobalMaxPooling1D extends GlobalPooling1D {\n  /** @nocollapse */\n  static className = 'GlobalMaxPooling1D';\n  constructor(args: LayerArgs) {\n    super(args || {});\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      const input = getExactlyOneTensor(inputs);\n      return tfc.max(input, 1);\n    });\n  }\n}\nserialization.registerClass(GlobalMaxPooling1D);\n\nexport declare interface GlobalPooling2DLayerArgs extends LayerArgs {\n  /**\n   * One of `CHANNEL_LAST` (default) or `CHANNEL_FIRST`.\n   *\n   * The ordering of the dimensions in the inputs. `CHANNEL_LAST` corresponds\n   * to inputs with shape `[batch, height, width, channels[` while\n   * `CHANNEL_FIRST` corresponds to inputs with shape\n   * `[batch, channels, height, width]`.\n   */\n  dataFormat?: DataFormat;\n}\n\n/**\n * Abstract class for different global pooling 2D layers.\n */\nexport abstract class GlobalPooling2D extends Layer {\n  protected dataFormat: DataFormat;\n  constructor(args: GlobalPooling2DLayerArgs) {\n    super(args);\n    this.dataFormat =\n        args.dataFormat == null ? 'channelsLast' : args.dataFormat;\n    checkDataFormat(this.dataFormat);\n    this.inputSpec = [new InputSpec({ndim: 4})];\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = inputShape as Shape;\n    if (this.dataFormat === 'channelsLast') {\n      return [inputShape[0], inputShape[3]];\n    } else {\n      return [inputShape[0], inputShape[1]];\n    }\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    throw new NotImplementedError();\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config = {dataFormat: this.dataFormat};\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\n\nexport class GlobalAveragePooling2D extends GlobalPooling2D {\n  /** @nocollapse */\n  static className = 'GlobalAveragePooling2D';\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      const input = getExactlyOneTensor(inputs);\n      if (this.dataFormat === 'channelsLast') {\n        return tfc.mean(input, [1, 2]);\n      } else {\n        return tfc.mean(input, [2, 3]);\n      }\n    });\n  }\n}\nserialization.registerClass(GlobalAveragePooling2D);\n\nexport class GlobalMaxPooling2D extends GlobalPooling2D {\n  /** @nocollapse */\n  static className = 'GlobalMaxPooling2D';\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      const input = getExactlyOneTensor(inputs);\n      if (this.dataFormat === 'channelsLast') {\n        return tfc.max(input, [1, 2]);\n      } else {\n        return tfc.max(input, [2, 3]);\n      }\n    });\n  }\n}\nserialization.registerClass(GlobalMaxPooling2D);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * TensorFlow.js Layers: Recurrent Neural Network Layers.\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {DataType, serialization, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {Activation, getActivation, serializeActivation} from '../activations';\nimport * as K from '../backend/tfjs_backend';\nimport {nameScope} from '../common';\nimport {Constraint, ConstraintIdentifier, getConstraint, serializeConstraint} from '../constraints';\nimport {InputSpec, SymbolicTensor} from '../engine/topology';\nimport {Layer, LayerArgs} from '../engine/topology';\nimport {AttributeError, NotImplementedError, ValueError} from '../errors';\nimport {getInitializer, Initializer, InitializerIdentifier, Ones, serializeInitializer} from '../initializers';\nimport {ActivationIdentifier} from '../keras_format/activation_config';\nimport {Shape} from '../keras_format/common';\nimport {getRegularizer, Regularizer, RegularizerIdentifier, serializeRegularizer} from '../regularizers';\nimport {Kwargs, RnnStepFunction} from '../types';\nimport {assertPositiveInteger} from '../utils/generic_utils';\nimport * as math_utils from '../utils/math_utils';\nimport {getExactlyOneShape, getExactlyOneTensor, isArrayOfShapes} from '../utils/types_utils';\nimport {batchGetValue, batchSetValue, LayerVariable} from '../variables';\nimport {deserialize} from './serialization';\n\n/**\n * Standardize `apply()` args to a single list of tensor inputs.\n *\n * When running a model loaded from file, the input tensors `initialState` and\n * `constants` are passed to `RNN.apply()` as part of `inputs` instead of the\n * dedicated kwargs fields. `inputs` consists of\n * `[inputs, initialState0, initialState1, ..., constant0, constant1]` in this\n * case.\n * This method makes sure that arguments are\n * separated and that `initialState` and `constants` are `Array`s of tensors\n * (or None).\n *\n * @param inputs Tensor or `Array` of  tensors.\n * @param initialState Tensor or `Array` of tensors or `null`/`undefined`.\n * @param constants Tensor or `Array` of tensors or `null`/`undefined`.\n * @returns An object consisting of\n *   inputs: A tensor.\n *   initialState: `Array` of tensors or `null`.\n *   constants: `Array` of tensors or `null`.\n * @throws ValueError, if `inputs` is an `Array` but either `initialState` or\n *   `constants` is provided.\n */\nexport function standardizeArgs(\n    inputs: Tensor|Tensor[]|SymbolicTensor|SymbolicTensor[],\n    initialState: Tensor|Tensor[]|SymbolicTensor|SymbolicTensor[],\n    constants: Tensor|Tensor[]|SymbolicTensor|SymbolicTensor[],\n    numConstants?: number): {\n  inputs: Tensor|SymbolicTensor,\n  initialState: Tensor[]|SymbolicTensor[],\n  constants: Tensor[]|SymbolicTensor[]\n} {\n  if (Array.isArray(inputs)) {\n    if (initialState != null || constants != null) {\n      throw new ValueError(\n          'When inputs is an array, neither initialState or constants ' +\n          'should be provided');\n    }\n    if (numConstants != null) {\n      constants = inputs.slice(inputs.length - numConstants, inputs.length);\n      inputs = inputs.slice(0, inputs.length - numConstants);\n    }\n    if (inputs.length > 1) {\n      initialState = inputs.slice(1, inputs.length);\n    }\n    inputs = inputs[0];\n  }\n\n  function toListOrNull(x: Tensor|Tensor[]|SymbolicTensor|\n                        SymbolicTensor[]): Tensor[]|SymbolicTensor[] {\n    if (x == null || Array.isArray(x)) {\n      return x as Tensor[] | SymbolicTensor[];\n    } else {\n      return [x] as Tensor[] | SymbolicTensor[];\n    }\n  }\n\n  initialState = toListOrNull(initialState);\n  constants = toListOrNull(constants);\n\n  return {inputs, initialState, constants};\n}\n\n/**\n * Iterates over the time dimension of a tensor.\n *\n * @param stepFunction RNN step function.\n *   Parameters:\n *     inputs: tensor with shape `[samples, ...]` (no time dimension),\n *       representing input for the batch of samples at a certain time step.\n *     states: an Array of tensors.\n *   Returns:\n *     outputs: tensor with shape `[samples, outputDim]` (no time dimension).\n *     newStates: list of tensors, same length and shapes as `states`. The first\n *       state in the list must be the output tensor at the previous timestep.\n * @param inputs Tensor of temporal data of shape `[samples, time, ...]` (at\n *   least 3D).\n * @param initialStates Tensor with shape `[samples, outputDim]` (no time\n *   dimension), containing the initial values of the states used in the step\n *   function.\n * @param goBackwards If `true`, do the iteration over the time dimension in\n *   reverse order and return the reversed sequence.\n * @param mask Binary tensor with shape `[sample, time, 1]`, with a zero for\n *   every element that is masked.\n * @param constants An Array of constant values passed at each step.\n * @param unroll Whether to unroll the RNN or to use a symbolic loop. *Not*\n *   applicable to this imperative deeplearn.js backend. Its value is ignored.\n * @param needPerStepOutputs Whether the per-step outputs are to be\n *   concatenated into a single tensor and returned (as the second return\n *   value). Default: `false`. This arg is included so that the relatively\n *   expensive concatenation of the stepwise outputs can be omitted unless\n *   the stepwise outputs need to be kept (e.g., for an LSTM layer of which\n *   `returnSequence` is `true`.)\n * @returns An Array: `[lastOutput, outputs, newStates]`.\n *   lastOutput: the lastest output of the RNN, of shape `[samples, ...]`.\n *   outputs: tensor with shape `[samples, time, ...]` where each entry\n *     `output[s, t]` is the output of the step function at time `t` for sample\n *     `s`. This return value is provided if and only if the\n *     `needPerStepOutputs` is set as `true`. If it is set as `false`, this\n *     return value will be `undefined`.\n *   newStates: Array of tensors, latest states returned by the step function,\n *      of shape `(samples, ...)`.\n * @throws ValueError If input dimension is less than 3.\n *\n * TODO(nielsene): This needs to be tidy-ed.\n */\nexport function rnn(\n    stepFunction: RnnStepFunction, inputs: Tensor, initialStates: Tensor[],\n    goBackwards = false, mask?: Tensor, constants?: Tensor[], unroll = false,\n    needPerStepOutputs = false): [Tensor, Tensor, Tensor[]] {\n  return tfc.tidy(() => {\n    const ndim = inputs.shape.length;\n    if (ndim < 3) {\n      throw new ValueError(`Input should be at least 3D, but is ${ndim}D.`);\n    }\n\n    // Transpose to time-major, i.e., from [batch, time, ...] to [time, batch,\n    // ...].\n    const axes = [1, 0].concat(math_utils.range(2, ndim));\n    inputs = tfc.transpose(inputs, axes);\n\n    if (constants != null) {\n      throw new NotImplementedError(\n          'The rnn() functoin of the deeplearn.js backend does not support ' +\n          'constants yet.');\n    }\n\n    // Porting Note: the unroll option is ignored by the imperative backend.\n    if (unroll) {\n      console.warn(\n          'Backend rnn(): the unroll = true option is not applicable to the ' +\n          'imperative deeplearn.js backend.');\n    }\n\n    if (mask != null) {\n      mask = mask.asType('bool').asType('float32');\n      if (mask.rank === ndim - 1) {\n        mask = tfc.expandDims(mask, -1);\n      }\n      mask = tfc.transpose(mask, axes);\n    }\n\n    if (goBackwards) {\n      inputs = tfc.reverse(inputs, 0);\n      if (mask != null) {\n        mask = tfc.reverse(mask, 0);\n      }\n    }\n\n    // Porting Note: PyKeras with TensorFlow backend uses a symbolic loop\n    //   (tf.while_loop). But for the imperative deeplearn.js backend, we just\n    //   use the usual TypeScript control flow to iterate over the time steps in\n    //   the inputs.\n    // Porting Note: PyKeras patches a \"_use_learning_phase\" attribute to\n    // outputs.\n    //   This is not idiomatic in TypeScript. The info regarding whether we are\n    //   in a learning (i.e., training) phase for RNN is passed in a different\n    //   way.\n\n    const perStepOutputs: Tensor[] = [];\n    let lastOutput: Tensor;\n    let states = initialStates;\n    const timeSteps = inputs.shape[0];\n    const perStepInputs = tfc.unstack(inputs);\n    let perStepMasks: Tensor[];\n    if (mask != null) {\n      perStepMasks = tfc.unstack(mask);\n    }\n\n    for (let t = 0; t < timeSteps; ++t) {\n      const currentInput = perStepInputs[t];\n      const stepOutputs = tfc.tidy(() => stepFunction(currentInput, states));\n\n      if (mask == null) {\n        lastOutput = stepOutputs[0];\n        states = stepOutputs[1];\n      } else {\n        const maskedOutputs = tfc.tidy(() => {\n          const stepMask = perStepMasks[t];\n          const negStepMask = tfc.onesLike(stepMask).sub(stepMask);\n          // TODO(cais): Would tfc.where() be better for performance?\n          const output = stepOutputs[0].mul(stepMask).addStrict(\n              states[0].mul(negStepMask));\n          const newStates = states.map((state, i) => {\n            return stepOutputs[1][i].mul(stepMask).addStrict(\n                state.mul(negStepMask));\n          });\n          return {output, newStates};\n        });\n        lastOutput = maskedOutputs.output;\n        states = maskedOutputs.newStates;\n      }\n\n      if (needPerStepOutputs) {\n        perStepOutputs.push(lastOutput);\n      }\n    }\n    let outputs: Tensor;\n    if (needPerStepOutputs) {\n      const axis = 1;\n      outputs = tfc.stack(perStepOutputs, axis);\n    }\n    return [lastOutput, outputs, states] as [Tensor, Tensor, Tensor[]];\n  });\n}\n\nexport declare interface BaseRNNLayerArgs extends LayerArgs {\n  /**\n   * A RNN cell instance. A RNN cell is a class that has:\n   *   - a `call()` method, which takes `[Tensor, Tensor]` as the\n   *     first input argument. The first item is the input at time t, and\n   *     second item is the cell state at time t.\n   *     The `call()` method returns `[outputAtT, statesAtTPlus1]`.\n   *     The `call()` method of the cell can also take the argument `constants`,\n   *     see section \"Note on passing external constants\" below.\n   *     Porting Node: PyKeras overrides the `call()` signature of RNN cells,\n   *       which are Layer subtypes, to accept two arguments. tfjs-layers does\n   *       not do such overriding. Instead we preseve the `call()` signature,\n   *       which due to its `Tensor|Tensor[]` argument and return value, is\n   *       flexible enough to handle the inputs and states.\n   *   - a `stateSize` attribute. This can be a single integer (single state)\n   *     in which case it is the size of the recurrent state (which should be\n   *     the same as the size of the cell output). This can also be an Array of\n   *     integers (one size per state). In this case, the first entry\n   *     (`stateSize[0]`) should be the same as the size of the cell output.\n   * It is also possible for `cell` to be a list of RNN cell instances, in which\n   * case the cells get stacked on after the other in the RNN, implementing an\n   * efficient stacked RNN.\n   */\n  cell?: RNNCell|RNNCell[];\n\n  /**\n   * Whether to return the last output in the output sequence, or the full\n   * sequence.\n   */\n  returnSequences?: boolean;\n\n  /**\n   * Whether to return the last state in addition to the output.\n   */\n  returnState?: boolean;\n\n  /**\n   * If `true`, process the input sequence backwards and return the reversed\n   * sequence (default: `false`).\n   */\n  goBackwards?: boolean;\n\n  /**\n   * If `true`, the last state for each sample at index i in a batch will be\n   * used as initial state of the sample of index i in the following batch\n   * (default: `false`).\n   *\n   * You can set RNN layers to be \"stateful\", which means that the states\n   * computed for the samples in one batch will be reused as initial states\n   * for the samples in the next batch. This assumes a one-to-one mapping\n   * between samples in different successive batches.\n   *\n   * To enable \"statefulness\":\n   *   - specify `stateful: true` in the layer constructor.\n   *   - specify a fixed batch size for your model, by passing\n   *     - if sequential model:\n   *       `batchInputShape: [...]` to the first layer in your model.\n   *     - else for functional model with 1 or more Input layers:\n   *       `batchShape: [...]` to all the first layers in your model.\n   *     This is the expected shape of your inputs\n   *     *including the batch size*.\n   *     It should be a tuple of integers, e.g., `[32, 10, 100]`.\n   *   - specify `shuffle: false` when calling `LayersModel.fit()`.\n   *\n   * To reset the state of your model, call `resetStates()` on either the\n   * specific layer or on the entire model.\n   */\n  stateful?: boolean;\n  // TODO(cais): Explore whether we can warn users when they fail to set\n  //   `shuffle: false` when training a model consisting of stateful RNNs\n  //   and any stateful Layers in general.\n\n  /**\n   * If `true`, the network will be unrolled, else a symbolic loop will be\n   * used. Unrolling can speed-up a RNN, although it tends to be more memory-\n   * intensive. Unrolling is only suitable for short sequences (default:\n   * `false`).\n   * Porting Note: tfjs-layers has an imperative backend. RNNs are executed with\n   *   normal TypeScript control flow. Hence this property is inapplicable and\n   *   ignored in tfjs-layers.\n   */\n  unroll?: boolean;\n\n  /**\n   * Dimensionality of the input (integer).\n   *   This option (or alternatively, the option `inputShape`) is required when\n   *   this layer is used as the first layer in a model.\n   */\n  inputDim?: number;\n\n  /**\n   * Length of the input sequences, to be specified when it is constant.\n   * This argument is required if you are going to connect `Flatten` then\n   * `Dense` layers upstream (without it, the shape of the dense outputs cannot\n   * be computed). Note that if the recurrent layer is not the first layer in\n   * your model, you would need to specify the input length at the level of the\n   * first layer (e.g., via the `inputShape` option).\n   */\n  inputLength?: number;\n}\n\nexport class RNN extends Layer {\n  /** @nocollapse */\n  static className = 'RNN';\n  public readonly cell: RNNCell;\n  public readonly returnSequences: boolean;\n  public readonly returnState: boolean;\n  public readonly goBackwards: boolean;\n  public readonly unroll: boolean;\n\n  public stateSpec: InputSpec[];\n  private states_: Tensor[];\n\n  // NOTE(cais): For stateful RNNs, the old states cannot be disposed right\n  // away when new states are set, because the old states may need to be used\n  // later for backpropagation through time (BPTT) and other purposes. So we\n  // keep them here for final disposal when the state is reset completely\n  // (i.e., through no-arg call to `resetStates()`).\n  private keptStates: Tensor[][];\n\n  private numConstants: number;\n\n  constructor(args: RNNLayerArgs) {\n    super(args);\n    let cell: RNNCell;\n    if (args.cell == null) {\n      throw new ValueError(\n          'cell property is missing for the constructor of RNN.');\n    } else if (Array.isArray(args.cell)) {\n      cell = new StackedRNNCells({cells: args.cell});\n    } else {\n      cell = args.cell;\n    }\n    if (cell.stateSize == null) {\n      throw new ValueError(\n          'The RNN cell should have an attribute `stateSize` (tuple of ' +\n          'integers, one integer per RNN state).');\n    }\n    this.cell = cell;\n    this.returnSequences =\n        args.returnSequences == null ? false : args.returnSequences;\n    this.returnState = args.returnState == null ? false : args.returnState;\n    this.goBackwards = args.goBackwards == null ? false : args.goBackwards;\n    this._stateful = args.stateful == null ? false : args.stateful;\n    this.unroll = args.unroll == null ? false : args.unroll;\n\n    this.supportsMasking = true;\n    this.inputSpec = [new InputSpec({ndim: 3})];\n    this.stateSpec = null;\n    this.states_ = null;\n    // TODO(cais): Add constantsSpec and numConstants.\n    this.numConstants = null;\n    // TODO(cais): Look into the use of initial_state in the kwargs of the\n    //   constructor.\n\n    this.keptStates = [];\n  }\n\n  // Porting Note: This is the equivalent of `RNN.states` property getter in\n  //   PyKeras.\n  getStates(): Tensor[] {\n    if (this.states_ == null) {\n      const numStates =\n          Array.isArray(this.cell.stateSize) ? this.cell.stateSize.length : 1;\n      return math_utils.range(0, numStates).map(x => null);\n    } else {\n      return this.states_;\n    }\n  }\n\n  // Porting Note: This is the equivalent of the `RNN.states` property setter in\n  //   PyKeras.\n  setStates(states: Tensor[]): void {\n    this.states_ = states;\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    if (isArrayOfShapes(inputShape)) {\n      inputShape = (inputShape as Shape[])[0];\n    }\n    inputShape = inputShape as Shape;\n\n    // TODO(cais): Remove the casting once stacked RNN cells become supported.\n    let stateSize = this.cell.stateSize;\n    if (!Array.isArray(stateSize)) {\n      stateSize = [stateSize];\n    }\n    const outputDim = stateSize[0];\n    let outputShape: Shape|Shape[];\n    if (this.returnSequences) {\n      outputShape = [inputShape[0], inputShape[1], outputDim];\n    } else {\n      outputShape = [inputShape[0], outputDim];\n    }\n\n    if (this.returnState) {\n      const stateShape: Shape[] = [];\n      for (const dim of stateSize) {\n        stateShape.push([inputShape[0], dim]);\n      }\n      return [outputShape].concat(stateShape);\n    } else {\n      return outputShape;\n    }\n  }\n\n  computeMask(inputs: Tensor|Tensor[], mask?: Tensor|Tensor[]): Tensor\n      |Tensor[] {\n    return tfc.tidy(() => {\n      if (Array.isArray(mask)) {\n        mask = mask[0];\n      }\n      const outputMask = this.returnSequences ? mask : null;\n\n      if (this.returnState) {\n        const stateMask = this.states.map(s => null);\n        return [outputMask].concat(stateMask);\n      } else {\n        return outputMask;\n      }\n    });\n  }\n\n  /**\n   * Get the current state tensors of the RNN.\n   *\n   * If the state hasn't been set, return an array of `null`s of the correct\n   * length.\n   */\n  get states(): Tensor[] {\n    if (this.states_ == null) {\n      const numStates =\n          Array.isArray(this.cell.stateSize) ? this.cell.stateSize.length : 1;\n      const output: Tensor[] = [];\n      for (let i = 0; i < numStates; ++i) {\n        output.push(null);\n      }\n      return output;\n    } else {\n      return this.states_;\n    }\n  }\n\n  set states(s: Tensor[]) {\n    this.states_ = s;\n  }\n\n  public build(inputShape: Shape|Shape[]): void {\n    // Note inputShape will be an Array of Shapes of initial states and\n    // constants if these are passed in apply().\n    const constantShape: Shape[] = null;\n    if (this.numConstants != null) {\n      throw new NotImplementedError(\n          'Constants support is not implemented in RNN yet.');\n    }\n\n    if (isArrayOfShapes(inputShape)) {\n      inputShape = (inputShape as Shape[])[0];\n    }\n    inputShape = inputShape as Shape;\n\n    const batchSize: number = this.stateful ? inputShape[0] : null;\n    const inputDim = inputShape[inputShape.length - 1];\n    this.inputSpec[0] = new InputSpec({shape: [batchSize, null, inputDim]});\n\n    // Allow cell (if RNNCell Layer) to build before we set or validate\n    // stateSpec.\n    const stepInputShape = [inputShape[0]].concat(inputShape.slice(2));\n    if (constantShape != null) {\n      throw new NotImplementedError(\n          'Constants support is not implemented in RNN yet.');\n    } else {\n      this.cell.build(stepInputShape);\n    }\n\n    // Set or validate stateSpec.\n    let stateSize: number[];\n    if (Array.isArray(this.cell.stateSize)) {\n      stateSize = this.cell.stateSize;\n    } else {\n      stateSize = [this.cell.stateSize];\n    }\n\n    if (this.stateSpec != null) {\n      if (!util.arraysEqual(\n              this.stateSpec.map(spec => spec.shape[spec.shape.length - 1]),\n              stateSize)) {\n        throw new ValueError(\n            `An initialState was passed that is not compatible with ` +\n            `cell.stateSize. Received stateSpec=${this.stateSpec}; ` +\n            `However cell.stateSize is ${this.cell.stateSize}`);\n      }\n    } else {\n      this.stateSpec =\n          stateSize.map(dim => new InputSpec({shape: [null, dim]}));\n    }\n    if (this.stateful) {\n      this.resetStates();\n    }\n  }\n\n  /**\n   * Reset the state tensors of the RNN.\n   *\n   * If the `states` argument is `undefined` or `null`, will set the\n   * state tensor(s) of the RNN to all-zero tensors of the appropriate\n   * shape(s).\n   *\n   * If `states` is provided, will set the state tensors of the RNN to its\n   * value.\n   *\n   * @param states Optional externally-provided initial states.\n   * @param training Whether this call is done during training. For stateful\n   *   RNNs, this affects whether the old states are kept or discarded. In\n   *   particular, if `training` is `true`, the old states will be kept so\n   *   that subsequent backpropgataion through time (BPTT) may work properly.\n   *   Else, the old states will be discarded.\n   */\n  resetStates(states?: Tensor|Tensor[], training = false): void {\n    tidy(() => {\n      if (!this.stateful) {\n        throw new AttributeError(\n            'Cannot call resetStates() on an RNN Layer that is not stateful.');\n      }\n      const batchSize = this.inputSpec[0].shape[0];\n      if (batchSize == null) {\n        throw new ValueError(\n            'If an RNN is stateful, it needs to know its batch size. Specify ' +\n            'the batch size of your input tensors: \\n' +\n            '- If using a Sequential model, specify the batch size by ' +\n            'passing a `batchInputShape` option to your first layer.\\n' +\n            '- If using the functional API, specify the batch size by ' +\n            'passing a `batchShape` option to your Input layer.');\n      }\n      // Initialize state if null.\n      if (this.states_ == null) {\n        if (Array.isArray(this.cell.stateSize)) {\n          this.states_ =\n              this.cell.stateSize.map(dim => tfc.zeros([batchSize, dim]));\n        } else {\n          this.states_ = [tfc.zeros([batchSize, this.cell.stateSize])];\n        }\n      } else if (states == null) {\n        // Dispose old state tensors.\n        tfc.dispose(this.states_);\n        // For stateful RNNs, fully dispose kept old states.\n        if (this.keptStates != null) {\n          tfc.dispose(this.keptStates);\n          this.keptStates = [];\n        }\n\n        if (Array.isArray(this.cell.stateSize)) {\n          this.states_ =\n              this.cell.stateSize.map(dim => tfc.zeros([batchSize, dim]));\n        } else {\n          this.states_[0] = tfc.zeros([batchSize, this.cell.stateSize]);\n        }\n      } else {\n        if (!Array.isArray(states)) {\n          states = [states];\n        }\n        if (states.length !== this.states_.length) {\n          throw new ValueError(\n              `Layer ${this.name} expects ${this.states_.length} state(s), ` +\n              `but it received ${states.length} state value(s). Input ` +\n              `received: ${states}`);\n        }\n\n        if (training === true) {\n          // Store old state tensors for complete disposal later, i.e., during\n          // the next no-arg call to this method. We do not dispose the old\n          // states immediately because that BPTT (among other things) require\n          // them.\n          this.keptStates.push(this.states_.slice());\n        } else {\n          tfc.dispose(this.states_);\n        }\n\n        for (let index = 0; index < this.states_.length; ++index) {\n          const value = states[index];\n          const dim = Array.isArray(this.cell.stateSize) ?\n              this.cell.stateSize[index] :\n              this.cell.stateSize;\n          const expectedShape = [batchSize, dim];\n          if (!util.arraysEqual(value.shape, expectedShape)) {\n            throw new ValueError(\n                `State ${index} is incompatible with layer ${this.name}: ` +\n                `expected shape=${expectedShape}, received shape=${\n                    value.shape}`);\n          }\n          this.states_[index] = value;\n        }\n      }\n      this.states_ = this.states_.map(state => tfc.keep(state.clone()));\n    });\n  }\n\n  apply(\n      inputs: Tensor|Tensor[]|SymbolicTensor|SymbolicTensor[],\n      kwargs?: Kwargs): Tensor|Tensor[]|SymbolicTensor|SymbolicTensor[] {\n    // TODO(cais): Figure out whether initialState is in kwargs or inputs.\n    let initialState: Tensor[]|SymbolicTensor[] =\n        kwargs == null ? null : kwargs['initialState'];\n    let constants: Tensor[]|SymbolicTensor[] =\n        kwargs == null ? null : kwargs['constants'];\n    if (kwargs == null) {\n      kwargs = {};\n    }\n\n    const standardized =\n        standardizeArgs(inputs, initialState, constants, this.numConstants);\n    inputs = standardized.inputs;\n    initialState = standardized.initialState;\n    constants = standardized.constants;\n\n    // If any of `initial_state` or `constants` are specified and are\n    // `tf.SymbolicTensor`s, then add them to the inputs and temporarily modify\n    // the input_spec to include them.\n\n    let additionalInputs: Array<Tensor|SymbolicTensor> = [];\n    let additionalSpecs: InputSpec[] = [];\n    if (initialState != null) {\n      kwargs['initialState'] = initialState;\n      additionalInputs = additionalInputs.concat(initialState);\n      this.stateSpec = [];\n      for (const state of initialState) {\n        this.stateSpec.push(new InputSpec({shape: state.shape}));\n      }\n      // TODO(cais): Use the following instead.\n      // this.stateSpec = initialState.map(state => new InputSpec({shape:\n      // state.shape}));\n      additionalSpecs = additionalSpecs.concat(this.stateSpec);\n    }\n    if (constants != null) {\n      kwargs['constants'] = constants;\n      additionalInputs = additionalInputs.concat(constants);\n      // TODO(cais): Add this.constantsSpec.\n      this.numConstants = constants.length;\n    }\n\n    const isTensor = additionalInputs[0] instanceof SymbolicTensor;\n    if (isTensor) {\n      // Compute full input spec, including state and constants.\n      const fullInput =\n          [inputs].concat(additionalInputs) as Tensor[] | SymbolicTensor[];\n      const fullInputSpec = this.inputSpec.concat(additionalSpecs);\n      // Perform the call with temporarily replaced inputSpec.\n      const originalInputSpec = this.inputSpec;\n      this.inputSpec = fullInputSpec;\n      const output = super.apply(fullInput, kwargs);\n      this.inputSpec = originalInputSpec;\n      return output;\n    } else {\n      return super.apply(inputs, kwargs);\n    }\n  }\n\n  // tslint:disable-next-line:no-any\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    // Input shape: `[samples, time (padded with zeros), input_dim]`.\n    // Note that the .build() method of subclasses **must** define\n    // this.inputSpec and this.stateSpec owith complete input shapes.\n    return tidy(() => {\n      const mask = kwargs == null ? null : kwargs['mask'] as Tensor;\n      const training = kwargs == null ? null : kwargs['training'];\n      let initialState: Tensor[] =\n          kwargs == null ? null : kwargs['initialState'];\n\n      inputs = getExactlyOneTensor(inputs);\n      if (initialState == null) {\n        if (this.stateful) {\n          initialState = this.states_;\n        } else {\n          initialState = this.getInitialState(inputs);\n        }\n      }\n\n      const numStates =\n          Array.isArray(this.cell.stateSize) ? this.cell.stateSize.length : 1;\n      if (initialState.length !== numStates) {\n        throw new ValueError(\n            `RNN Layer has ${numStates} state(s) but was passed ` +\n            `${initialState.length} initial state(s).`);\n      }\n      if (this.unroll) {\n        console.warn(\n            'Ignoring unroll = true for RNN layer, due to imperative backend.');\n      }\n\n      const cellCallKwargs: Kwargs = {training};\n\n      // TODO(cais): Add support for constants.\n      const step = (inputs: Tensor, states: Tensor[]) => {\n        // `inputs` and `states` are concatenated to form a single `Array` of\n        // `tf.Tensor`s as the input to `cell.call()`.\n        const outputs =\n            this.cell.call([inputs].concat(states), cellCallKwargs) as Tensor[];\n        // Marshall the return value into output and new states.\n        return [outputs[0], outputs.slice(1)] as [Tensor, Tensor[]];\n      };\n\n      // TODO(cais): Add support for constants.\n\n      const rnnOutputs =\n          rnn(step, inputs, initialState, this.goBackwards, mask, null,\n              this.unroll, this.returnSequences);\n      const lastOutput = rnnOutputs[0];\n      const outputs = rnnOutputs[1];\n      const states = rnnOutputs[2];\n\n      if (this.stateful) {\n        this.resetStates(states, training);\n      }\n\n      const output = this.returnSequences ? outputs : lastOutput;\n\n      // TODO(cais): Porperty set learning phase flag.\n\n      if (this.returnState) {\n        return [output].concat(states);\n      } else {\n        return output;\n      }\n    });\n  }\n\n  getInitialState(inputs: Tensor): Tensor[] {\n    return tidy(() => {\n      // Build an all-zero tensor of shape [samples, outputDim].\n      // [Samples, timeSteps, inputDim].\n      let initialState = tfc.zeros(inputs.shape);\n      // [Samples].\n      initialState = tfc.sum(initialState, [1, 2]);\n      initialState = K.expandDims(initialState);  // [Samples, 1].\n\n      if (Array.isArray(this.cell.stateSize)) {\n        return this.cell.stateSize.map(\n            dim => dim > 1 ? K.tile(initialState, [1, dim]) : initialState);\n      } else {\n        return this.cell.stateSize > 1 ?\n            [K.tile(initialState, [1, this.cell.stateSize])] :\n            [initialState];\n      }\n    });\n  }\n\n  get trainableWeights(): LayerVariable[] {\n    if (!this.trainable) {\n      return [];\n    }\n    // Porting Note: In TypeScript, `this` is always an instance of `Layer`.\n    return this.cell.trainableWeights;\n  }\n\n  get nonTrainableWeights(): LayerVariable[] {\n    // Porting Note: In TypeScript, `this` is always an instance of `Layer`.\n    if (!this.trainable) {\n      return this.cell.weights;\n    }\n    return this.cell.nonTrainableWeights;\n  }\n\n  setFastWeightInitDuringBuild(value: boolean) {\n    super.setFastWeightInitDuringBuild(value);\n    if (this.cell != null) {\n      this.cell.setFastWeightInitDuringBuild(value);\n    }\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      returnSequences: this.returnSequences,\n      returnState: this.returnState,\n      goBackwards: this.goBackwards,\n      stateful: this.stateful,\n      unroll: this.unroll,\n    };\n    if (this.numConstants != null) {\n      config['numConstants'] = this.numConstants;\n    }\n    const cellConfig = this.cell.getConfig();\n    config['cell'] = {\n      'className': this.cell.getClassName(),\n      'config': cellConfig,\n    } as serialization.ConfigDictValue;\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends serialization.Serializable>(\n      cls: serialization.SerializableConstructor<T>,\n      config: serialization.ConfigDict,\n      customObjects = {} as serialization.ConfigDict): T {\n    const cellConfig = config['cell'] as serialization.ConfigDict;\n    const cell = deserialize(cellConfig, customObjects) as RNNCell;\n    return new cls(Object.assign(config, {cell}));\n  }\n}\nserialization.registerClass(RNN);\n\n/**\n * An RNNCell layer.\n */\n// Porting Note: This is a common parent class for RNN cells. There is no\n// equivalent of this in PyKeras. Having a common parent class forgoes the\n//  need for `has_attr(cell, ...)` checks or its TypeScript equivalent.\n/** @doc {heading: 'Layers', subheading: 'Classes'} */\nexport abstract class RNNCell extends Layer {\n  /**\n   * Size(s) of the states.\n   * For RNN cells with only a single state, this is a single integer.\n   */\n  public stateSize: number|number[];\n  public dropoutMask: Tensor|Tensor[];\n  public recurrentDropoutMask: Tensor|Tensor[];\n}\n\nexport declare interface SimpleRNNCellLayerArgs extends LayerArgs {\n  /**\n   * units: Positive integer, dimensionality of the output space.\n   */\n  units: number;\n\n  /**\n   * Activation function to use.\n   * Default: hyperbolic tangent ('tanh').\n   * If you pass `null`,  'linear' activation will be applied.\n   */\n  activation?: ActivationIdentifier;\n\n  /**\n   * Whether the layer uses a bias vector.\n   */\n  useBias?: boolean;\n\n  /**\n   * Initializer for the `kernel` weights matrix, used for the linear\n   * transformation of the inputs.\n   */\n  kernelInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Initializer for the `recurrentKernel` weights matrix, used for\n   * linear transformation of the recurrent state.\n   */\n  recurrentInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Initializer for the bias vector.\n   */\n  biasInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Regularizer function applied to the `kernel` weights matrix.\n   */\n  kernelRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Regularizer function applied to the `recurrent_kernel` weights matrix.\n   */\n  recurrentRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Regularizer function applied to the bias vector.\n   */\n  biasRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Constraint function applied to the `kernel` weights matrix.\n   */\n  kernelConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Constraint function applied to the `recurrentKernel` weights matrix.\n   */\n  recurrentConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Constraintfunction applied to the bias vector.\n   */\n  biasConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Float number between 0 and 1. Fraction of the units to drop for the linear\n   * transformation of the inputs.\n   */\n  dropout?: number;\n\n  /**\n   * Float number between 0 and 1. Fraction of the units to drop for the linear\n   * transformation of the recurrent state.\n   */\n  recurrentDropout?: number;\n}\n\nexport class SimpleRNNCell extends RNNCell {\n  /** @nocollapse */\n  static className = 'SimpleRNNCell';\n  readonly units: number;\n  readonly activation: Activation;\n  readonly useBias: boolean;\n\n  readonly kernelInitializer: Initializer;\n  readonly recurrentInitializer: Initializer;\n  readonly biasInitializer: Initializer;\n\n  readonly kernelConstraint: Constraint;\n  readonly recurrentConstraint: Constraint;\n  readonly biasConstraint: Constraint;\n\n  readonly kernelRegularizer: Regularizer;\n  readonly recurrentRegularizer: Regularizer;\n  readonly biasRegularizer: Regularizer;\n\n  readonly dropout: number;\n  readonly recurrentDropout: number;\n\n  readonly stateSize: number;\n\n  kernel: LayerVariable;\n  recurrentKernel: LayerVariable;\n  bias: LayerVariable;\n\n  readonly DEFAULT_ACTIVATION = 'tanh';\n  readonly DEFAULT_KERNEL_INITIALIZER = 'glorotNormal';\n  readonly DEFAULT_RECURRENT_INITIALIZER = 'orthogonal';\n  readonly DEFAULT_BIAS_INITIALIZER: InitializerIdentifier = 'zeros';\n\n  constructor(args: SimpleRNNCellLayerArgs) {\n    super(args);\n    this.units = args.units;\n    assertPositiveInteger(this.units, `units`);\n    this.activation = getActivation(\n        args.activation == null ? this.DEFAULT_ACTIVATION : args.activation);\n    this.useBias = args.useBias == null ? true : args.useBias;\n\n    this.kernelInitializer = getInitializer(\n        args.kernelInitializer || this.DEFAULT_KERNEL_INITIALIZER);\n    this.recurrentInitializer = getInitializer(\n        args.recurrentInitializer || this.DEFAULT_RECURRENT_INITIALIZER);\n\n    this.biasInitializer =\n        getInitializer(args.biasInitializer || this.DEFAULT_BIAS_INITIALIZER);\n\n    this.kernelRegularizer = getRegularizer(args.kernelRegularizer);\n    this.recurrentRegularizer = getRegularizer(args.recurrentRegularizer);\n    this.biasRegularizer = getRegularizer(args.biasRegularizer);\n\n    this.kernelConstraint = getConstraint(args.kernelConstraint);\n    this.recurrentConstraint = getConstraint(args.recurrentConstraint);\n    this.biasConstraint = getConstraint(args.biasConstraint);\n\n    this.dropout = math_utils.min(\n        [1, math_utils.max([0, args.dropout == null ? 0 : args.dropout])]);\n    this.recurrentDropout = math_utils.min([\n      1,\n      math_utils.max(\n          [0, args.recurrentDropout == null ? 0 : args.recurrentDropout])\n    ]);\n    this.stateSize = this.units;\n    this.dropoutMask = null;\n    this.recurrentDropoutMask = null;\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n    // TODO(cais): Use regularizer.\n    this.kernel = this.addWeight(\n        'kernel', [inputShape[inputShape.length - 1], this.units], null,\n        this.kernelInitializer, this.kernelRegularizer, true,\n        this.kernelConstraint);\n    this.recurrentKernel = this.addWeight(\n        'recurrent_kernel', [this.units, this.units], null,\n        this.recurrentInitializer, this.recurrentRegularizer, true,\n        this.recurrentConstraint);\n    if (this.useBias) {\n      this.bias = this.addWeight(\n          'bias', [this.units], null, this.biasInitializer,\n          this.biasRegularizer, true, this.biasConstraint);\n    } else {\n      this.bias = null;\n    }\n    this.built = true;\n  }\n\n  // Porting Note: PyKeras' equivalent of this method takes two tensor inputs:\n  //   `inputs` and `states`. Here, the two tensors are combined into an\n  //   `Tensor[]` Array as the first input argument.\n  //   Similarly, PyKeras' equivalent of this method returns two values:\n  //    `output` and `[output]`. Here the two are combined into one length-2\n  //    `Tensor[]`, consisting of `output` repeated.\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      inputs = inputs as Tensor[];\n      if (inputs.length !== 2) {\n        throw new ValueError(\n            `SimpleRNNCell expects 2 input Tensors, got ${inputs.length}.`);\n      }\n      let prevOutput = inputs[1];\n      inputs = inputs[0];\n      const training = kwargs['training'] == null ? false : kwargs['training'];\n\n      if (0 < this.dropout && this.dropout < 1 && this.dropoutMask == null) {\n        this.dropoutMask = generateDropoutMask(\n                               () => tfc.onesLike(inputs as Tensor),\n                               this.dropout, training) as Tensor;\n      }\n      if (0 < this.recurrentDropout && this.recurrentDropout < 1 &&\n          this.recurrentDropoutMask == null) {\n        this.recurrentDropoutMask =\n            generateDropoutMask(\n                () => tfc.onesLike(prevOutput), this.recurrentDropout,\n                training) as Tensor;\n      }\n      let h: Tensor;\n      const dpMask: Tensor = this.dropoutMask as Tensor;\n      const recDpMask: Tensor = this.recurrentDropoutMask as Tensor;\n      if (dpMask != null) {\n        h = K.dot(tfc.mul(inputs, dpMask), this.kernel.read());\n      } else {\n        h = K.dot(inputs, this.kernel.read());\n      }\n      if (this.bias != null) {\n        h = K.biasAdd(h, this.bias.read());\n      }\n      if (recDpMask != null) {\n        prevOutput = tfc.mul(prevOutput, recDpMask);\n      }\n      let output = tfc.add(h, K.dot(prevOutput, this.recurrentKernel.read()));\n      if (this.activation != null) {\n        output = this.activation.apply(output);\n      }\n\n      // TODO(cais): Properly set learning phase on output tensor?\n      return [output, output];\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      units: this.units,\n      activation: serializeActivation(this.activation),\n      useBias: this.useBias,\n      kernelInitializer: serializeInitializer(this.kernelInitializer),\n      recurrentInitializer: serializeInitializer(this.recurrentInitializer),\n      biasInitializer: serializeInitializer(this.biasInitializer),\n      kernelRegularizer: serializeRegularizer(this.kernelRegularizer),\n      recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer),\n      biasRegularizer: serializeRegularizer(this.biasRegularizer),\n      activityRegularizer: serializeRegularizer(this.activityRegularizer),\n      kernelConstraint: serializeConstraint(this.kernelConstraint),\n      recurrentConstraint: serializeConstraint(this.recurrentConstraint),\n      biasConstraint: serializeConstraint(this.biasConstraint),\n      dropout: this.dropout,\n      recurrentDropout: this.recurrentDropout,\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(SimpleRNNCell);\n\nexport declare interface SimpleRNNLayerArgs extends BaseRNNLayerArgs {\n  /**\n   * Positive integer, dimensionality of the output space.\n   */\n  units: number;\n\n  /**\n   * Activation function to use.\n   *\n   * Defaults to  hyperbolic tangent (`tanh`)\n   *\n   * If you pass `null`, no activation will be applied.\n   */\n  activation?: ActivationIdentifier;\n\n  /**\n   * Whether the layer uses a bias vector.\n   */\n  useBias?: boolean;\n\n  /**\n   * Initializer for the `kernel` weights matrix, used for the linear\n   * transformation of the inputs.\n   */\n  kernelInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Initializer for the `recurrentKernel` weights matrix, used for\n   * linear transformation of the recurrent state.\n   */\n  recurrentInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Initializer for the bias vector.\n   */\n  biasInitializer?: InitializerIdentifier|Initializer;\n\n  /**\n   * Regularizer function applied to the kernel weights matrix.\n   */\n  kernelRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Regularizer function applied to the recurrentKernel weights matrix.\n   */\n  recurrentRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Regularizer function applied to the bias vector.\n   */\n  biasRegularizer?: RegularizerIdentifier|Regularizer;\n\n  /**\n   * Constraint function applied to the kernel weights matrix.\n   */\n  kernelConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Constraint function applied to the recurrentKernel weights matrix.\n   */\n  recurrentConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Constraint function applied to the bias vector.\n   */\n  biasConstraint?: ConstraintIdentifier|Constraint;\n\n  /**\n   * Number between 0 and 1. Fraction of the units to drop for the linear\n   * transformation of the inputs.\n   */\n  dropout?: number;\n\n  /**\n   * Number between 0 and 1. Fraction of the units to drop for the linear\n   * transformation of the recurrent state.\n   */\n  recurrentDropout?: number;\n}\n\n/**\n * RNNLayerConfig is identical to BaseRNNLayerConfig, except it makes the\n * `cell` property required. This interface is to be used with constructors\n * of concrete RNN layer subtypes.\n */\nexport declare interface RNNLayerArgs extends BaseRNNLayerArgs {\n  cell: RNNCell|RNNCell[];\n}\n\nexport class SimpleRNN extends RNN {\n  /** @nocollapse */\n  static className = 'SimpleRNN';\n  constructor(args: SimpleRNNLayerArgs) {\n    args.cell = new SimpleRNNCell(args);\n    super(args as RNNLayerArgs);\n    // TODO(cais): Add activityRegularizer.\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      if (this.cell.dropoutMask != null) {\n        tfc.dispose(this.cell.dropoutMask);\n        this.cell.dropoutMask = null;\n      }\n      if (this.cell.recurrentDropoutMask != null) {\n        tfc.dispose(this.cell.recurrentDropoutMask);\n        this.cell.recurrentDropoutMask = null;\n      }\n      const mask = kwargs == null ? null : kwargs['mask'];\n      const training = kwargs == null ? null : kwargs['training'];\n      const initialState: Tensor[] =\n          kwargs == null ? null : kwargs['initialState'];\n      return super.call(inputs, {mask, training, initialState});\n    });\n  }\n\n  // TODO(cais): Research possibility of refactoring out the tedious all\n  //   the getters that delegate to `this.cell` below.\n  get units(): number {\n    return (this.cell as SimpleRNNCell).units;\n  }\n\n  get activation(): Activation {\n    return (this.cell as SimpleRNNCell).activation;\n  }\n\n  get useBias(): boolean {\n    return (this.cell as SimpleRNNCell).useBias;\n  }\n\n  get kernelInitializer(): Initializer {\n    return (this.cell as SimpleRNNCell).kernelInitializer;\n  }\n\n  get recurrentInitializer(): Initializer {\n    return (this.cell as SimpleRNNCell).recurrentInitializer;\n  }\n\n  get biasInitializer(): Initializer {\n    return (this.cell as SimpleRNNCell).biasInitializer;\n  }\n\n  get kernelRegularizer(): Regularizer {\n    return (this.cell as SimpleRNNCell).kernelRegularizer;\n  }\n\n  get recurrentRegularizer(): Regularizer {\n    return (this.cell as SimpleRNNCell).recurrentRegularizer;\n  }\n\n  get biasRegularizer(): Regularizer {\n    return (this.cell as SimpleRNNCell).biasRegularizer;\n  }\n\n  get kernelConstraint(): Constraint {\n    return (this.cell as SimpleRNNCell).kernelConstraint;\n  }\n\n  get recurrentConstraint(): Constraint {\n    return (this.cell as SimpleRNNCell).recurrentConstraint;\n  }\n\n  get biasConstraint(): Constraint {\n    return (this.cell as SimpleRNNCell).biasConstraint;\n  }\n\n  get dropout(): number {\n    return (this.cell as SimpleRNNCell).dropout;\n  }\n\n  get recurrentDropout(): number {\n    return (this.cell as SimpleRNNCell).recurrentDropout;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      units: this.units,\n      activation: serializeActivation(this.activation),\n      useBias: this.useBias,\n      kernelInitializer: serializeInitializer(this.kernelInitializer),\n      recurrentInitializer: serializeInitializer(this.recurrentInitializer),\n      biasInitializer: serializeInitializer(this.biasInitializer),\n      kernelRegularizer: serializeRegularizer(this.kernelRegularizer),\n      recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer),\n      biasRegularizer: serializeRegularizer(this.biasRegularizer),\n      activityRegularizer: serializeRegularizer(this.activityRegularizer),\n      kernelConstraint: serializeConstraint(this.kernelConstraint),\n      recurrentConstraint: serializeConstraint(this.recurrentConstraint),\n      biasConstraint: serializeConstraint(this.biasConstraint),\n      dropout: this.dropout,\n      recurrentDropout: this.recurrentDropout,\n    };\n    const baseConfig = super.getConfig();\n    delete baseConfig['cell'];\n    Object.assign(config, baseConfig);\n    return config;\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends serialization.Serializable>(\n      cls: serialization.SerializableConstructor<T>,\n      config: serialization.ConfigDict): T {\n    return new cls(config);\n  }\n}\nserialization.registerClass(SimpleRNN);\n\n// Porting Note: Since this is a superset of SimpleRNNLayerConfig, we extend\n//   that interface instead of repeating the fields.\nexport declare interface GRUCellLayerArgs extends SimpleRNNCellLayerArgs {\n  /**\n   * Activation function to use for the recurrent step.\n   *\n   * Defaults to hard sigmoid (`hardSigmoid`).\n   *\n   * If `null`, no activation is applied.\n   */\n  recurrentActivation?: ActivationIdentifier;\n\n  /**\n   * Implementation mode, either 1 or 2.\n   *\n   * Mode 1 will structure its operations as a larger number of\n   *   smaller dot products and additions.\n   *\n   * Mode 2 will batch them into fewer, larger operations. These modes will\n   * have different performance profiles on different hardware and\n   * for different applications.\n   *\n   * Note: For superior performance, TensorFlow.js always uses implementation\n   * 2, regardless of the actual value of this configuration field.\n   */\n  implementation?: number;\n}\n\nexport class GRUCell extends RNNCell {\n  /** @nocollapse */\n  static className = 'GRUCell';\n  readonly units: number;\n  readonly activation: Activation;\n  readonly recurrentActivation: Activation;\n  readonly useBias: boolean;\n\n  readonly kernelInitializer: Initializer;\n  readonly recurrentInitializer: Initializer;\n  readonly biasInitializer: Initializer;\n\n  readonly kernelRegularizer: Regularizer;\n  readonly recurrentRegularizer: Regularizer;\n  readonly biasRegularizer: Regularizer;\n\n  readonly kernelConstraint: Constraint;\n  readonly recurrentConstraint: Constraint;\n  readonly biasConstraint: Constraint;\n\n  readonly dropout: number;\n  readonly recurrentDropout: number;\n\n  readonly stateSize: number;\n  readonly implementation: number;\n\n  readonly DEFAULT_ACTIVATION = 'tanh';\n  readonly DEFAULT_RECURRENT_ACTIVATION: ActivationIdentifier = 'hardSigmoid';\n\n  readonly DEFAULT_KERNEL_INITIALIZER = 'glorotNormal';\n  readonly DEFAULT_RECURRENT_INITIALIZER = 'orthogonal';\n  readonly DEFAULT_BIAS_INITIALIZER: InitializerIdentifier = 'zeros';\n\n  kernel: LayerVariable;\n  recurrentKernel: LayerVariable;\n  bias: LayerVariable;\n\n  constructor(args: GRUCellLayerArgs) {\n    super(args);\n\n    this.units = args.units;\n    assertPositiveInteger(this.units, 'units');\n    this.activation = getActivation(\n        args.activation === undefined ? this.DEFAULT_ACTIVATION :\n                                        args.activation);\n    this.recurrentActivation = getActivation(\n        args.recurrentActivation === undefined ?\n            this.DEFAULT_RECURRENT_ACTIVATION :\n            args.recurrentActivation);\n    this.useBias = args.useBias == null ? true : args.useBias;\n\n    this.kernelInitializer = getInitializer(\n        args.kernelInitializer || this.DEFAULT_KERNEL_INITIALIZER);\n    this.recurrentInitializer = getInitializer(\n        args.recurrentInitializer || this.DEFAULT_RECURRENT_INITIALIZER);\n\n    this.biasInitializer =\n        getInitializer(args.biasInitializer || this.DEFAULT_BIAS_INITIALIZER);\n\n    this.kernelRegularizer = getRegularizer(args.kernelRegularizer);\n    this.recurrentRegularizer = getRegularizer(args.recurrentRegularizer);\n    this.biasRegularizer = getRegularizer(args.biasRegularizer);\n\n    this.kernelConstraint = getConstraint(args.kernelConstraint);\n    this.recurrentConstraint = getConstraint(args.recurrentConstraint);\n    this.biasConstraint = getConstraint(args.biasConstraint);\n\n    this.dropout = math_utils.min(\n        [1, math_utils.max([0, args.dropout == null ? 0 : args.dropout])]);\n    this.recurrentDropout = math_utils.min([\n      1,\n      math_utils.max(\n          [0, args.recurrentDropout == null ? 0 : args.recurrentDropout])\n    ]);\n    this.implementation = args.implementation;\n    this.stateSize = this.units;\n    this.dropoutMask = null;\n    this.recurrentDropoutMask = null;\n  }\n\n  public build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n    const inputDim = inputShape[inputShape.length - 1];\n    this.kernel = this.addWeight(\n        'kernel', [inputDim, this.units * 3], null, this.kernelInitializer,\n        this.kernelRegularizer, true, this.kernelConstraint);\n    this.recurrentKernel = this.addWeight(\n        'recurrent_kernel', [this.units, this.units * 3], null,\n        this.recurrentInitializer, this.recurrentRegularizer, true,\n        this.recurrentConstraint);\n    if (this.useBias) {\n      this.bias = this.addWeight(\n          'bias', [this.units * 3], null, this.biasInitializer,\n          this.biasRegularizer, true, this.biasConstraint);\n    } else {\n      this.bias = null;\n    }\n    // Porting Notes: Unlike the PyKeras implementation, we perform slicing\n    //   of the weights and bias in the call() method, at execution time.\n    this.built = true;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      inputs = inputs as Tensor[];\n      if (inputs.length !== 2) {\n        throw new ValueError(\n            `GRUCell expects 2 input Tensors (inputs, h, c), got ` +\n            `${inputs.length}.`);\n      }\n\n      const training = kwargs['training'] == null ? false : kwargs['training'];\n      let hTMinus1 = inputs[1];  // Previous memory state.\n      inputs = inputs[0];\n\n      // Note: For superior performance, TensorFlow.js always uses\n      // implementation 2, regardless of the actual value of\n      // config.implementation.\n      if (0 < this.dropout && this.dropout < 1 && this.dropoutMask == null) {\n        this.dropoutMask = generateDropoutMask(\n                               () => tfc.onesLike(inputs as Tensor),\n                               this.dropout, training, 3) as Tensor[];\n      }\n      if (0 < this.recurrentDropout && this.recurrentDropout < 1 &&\n          this.recurrentDropoutMask == null) {\n        this.recurrentDropoutMask =\n            generateDropoutMask(\n                () => tfc.onesLike(hTMinus1), this.recurrentDropout, training,\n                3) as Tensor[];\n      }\n      const dpMask = this.dropoutMask as [Tensor, Tensor, Tensor];\n      const recDpMask = this.recurrentDropoutMask as [Tensor, Tensor, Tensor];\n      let z: Tensor;\n      let r: Tensor;\n      let hh: Tensor;\n\n      if (0 < this.dropout && this.dropout < 1) {\n        inputs = tfc.mul(inputs, dpMask[0]);\n      }\n      let matrixX = K.dot(inputs, this.kernel.read());\n      if (this.useBias) {\n        matrixX = K.biasAdd(matrixX, this.bias.read());\n      }\n      if (0 < this.recurrentDropout && this.recurrentDropout < 1) {\n        hTMinus1 = tfc.mul(hTMinus1, recDpMask[0]);\n      }\n\n      const recurrentKernelValue = this.recurrentKernel.read();\n      const [rk1, rk2] = tfc.split(\n          recurrentKernelValue, [2 * this.units, this.units],\n          recurrentKernelValue.rank - 1);\n      const matrixInner = K.dot(hTMinus1, rk1);\n\n      const [xZ, xR, xH] = tfc.split(matrixX, 3, matrixX.rank - 1);\n      const [recurrentZ, recurrentR] =\n          tfc.split(matrixInner, 2, matrixInner.rank - 1);\n      z = this.recurrentActivation.apply(tfc.add(xZ, recurrentZ));\n      r = this.recurrentActivation.apply(tfc.add(xR, recurrentR));\n\n      const recurrentH = K.dot(tfc.mul(r, hTMinus1), rk2);\n      hh = this.activation.apply(tfc.add(xH, recurrentH));\n\n      const h =\n          tfc.add(tfc.mul(z, hTMinus1), tfc.mul(tfc.add(1, tfc.neg(z)), hh));\n      // TODO(cais): Add use_learning_phase flag properly.\n      return [h, h];\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      units: this.units,\n      activation: serializeActivation(this.activation),\n      recurrentActivation: serializeActivation(this.recurrentActivation),\n      useBias: this.useBias,\n      kernelInitializer: serializeInitializer(this.kernelInitializer),\n      recurrentInitializer: serializeInitializer(this.recurrentInitializer),\n      biasInitializer: serializeInitializer(this.biasInitializer),\n      kernelRegularizer: serializeRegularizer(this.kernelRegularizer),\n      recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer),\n      biasRegularizer: serializeRegularizer(this.biasRegularizer),\n      activityRegularizer: serializeRegularizer(this.activityRegularizer),\n      kernelConstraint: serializeConstraint(this.kernelConstraint),\n      recurrentConstraint: serializeConstraint(this.recurrentConstraint),\n      biasConstraint: serializeConstraint(this.biasConstraint),\n      dropout: this.dropout,\n      recurrentDropout: this.recurrentDropout,\n      implementation: this.implementation,\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(GRUCell);\n\n// Porting Note: Since this is a superset of SimpleRNNLayerConfig, we inherit\n//   from that interface instead of repeating the fields here.\nexport declare interface GRULayerArgs extends SimpleRNNLayerArgs {\n  /**\n   * Activation function to use for the recurrent step.\n   *\n   * Defaults to hard sigmoid (`hardSigmoid`).\n   *\n   * If `null`, no activation is applied.\n   */\n  recurrentActivation?: ActivationIdentifier;\n\n  /**\n   * Implementation mode, either 1 or 2.\n   *\n   * Mode 1 will structure its operations as a larger number of\n   * smaller dot products and additions.\n   *\n   * Mode 2 will batch them into fewer, larger operations. These modes will\n   * have different performance profiles on different hardware and\n   * for different applications.\n   *\n   * Note: For superior performance, TensorFlow.js always uses implementation\n   * 2, regardless of the actual value of this configuration field.\n   */\n  implementation?: number;\n}\n\nexport class GRU extends RNN {\n  /** @nocollapse */\n  static className = 'GRU';\n  constructor(args: GRULayerArgs) {\n    if (args.implementation === 0) {\n      console.warn(\n          '`implementation=0` has been deprecated, and now defaults to ' +\n          '`implementation=1`. Please update your layer call.');\n    }\n    args.cell = new GRUCell(args);\n    super(args as RNNLayerArgs);\n    // TODO(cais): Add activityRegularizer.\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      if (this.cell.dropoutMask != null) {\n        tfc.dispose(this.cell.dropoutMask);\n        this.cell.dropoutMask = null;\n      }\n      if (this.cell.recurrentDropoutMask != null) {\n        tfc.dispose(this.cell.recurrentDropoutMask);\n        this.cell.recurrentDropoutMask = null;\n      }\n      const mask = kwargs == null ? null : kwargs['mask'];\n      const training = kwargs == null ? null : kwargs['training'];\n      const initialState: Tensor[] =\n          kwargs == null ? null : kwargs['initialState'];\n      return super.call(inputs, {mask, training, initialState});\n    });\n  }\n\n  get units(): number {\n    return (this.cell as GRUCell).units;\n  }\n\n  get activation(): Activation {\n    return (this.cell as GRUCell).activation;\n  }\n\n  get recurrentActivation(): Activation {\n    return (this.cell as GRUCell).recurrentActivation;\n  }\n\n  get useBias(): boolean {\n    return (this.cell as GRUCell).useBias;\n  }\n\n  get kernelInitializer(): Initializer {\n    return (this.cell as GRUCell).kernelInitializer;\n  }\n\n  get recurrentInitializer(): Initializer {\n    return (this.cell as GRUCell).recurrentInitializer;\n  }\n\n  get biasInitializer(): Initializer {\n    return (this.cell as GRUCell).biasInitializer;\n  }\n\n  get kernelRegularizer(): Regularizer {\n    return (this.cell as GRUCell).kernelRegularizer;\n  }\n\n  get recurrentRegularizer(): Regularizer {\n    return (this.cell as GRUCell).recurrentRegularizer;\n  }\n\n  get biasRegularizer(): Regularizer {\n    return (this.cell as GRUCell).biasRegularizer;\n  }\n\n  get kernelConstraint(): Constraint {\n    return (this.cell as GRUCell).kernelConstraint;\n  }\n\n  get recurrentConstraint(): Constraint {\n    return (this.cell as GRUCell).recurrentConstraint;\n  }\n\n  get biasConstraint(): Constraint {\n    return (this.cell as GRUCell).biasConstraint;\n  }\n\n  get dropout(): number {\n    return (this.cell as GRUCell).dropout;\n  }\n\n  get recurrentDropout(): number {\n    return (this.cell as GRUCell).recurrentDropout;\n  }\n\n  get implementation(): number {\n    return (this.cell as GRUCell).implementation;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      units: this.units,\n      activation: serializeActivation(this.activation),\n      recurrentActivation: serializeActivation(this.recurrentActivation),\n      useBias: this.useBias,\n      kernelInitializer: serializeInitializer(this.kernelInitializer),\n      recurrentInitializer: serializeInitializer(this.recurrentInitializer),\n      biasInitializer: serializeInitializer(this.biasInitializer),\n      kernelRegularizer: serializeRegularizer(this.kernelRegularizer),\n      recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer),\n      biasRegularizer: serializeRegularizer(this.biasRegularizer),\n      activityRegularizer: serializeRegularizer(this.activityRegularizer),\n      kernelConstraint: serializeConstraint(this.kernelConstraint),\n      recurrentConstraint: serializeConstraint(this.recurrentConstraint),\n      biasConstraint: serializeConstraint(this.biasConstraint),\n      dropout: this.dropout,\n      recurrentDropout: this.recurrentDropout,\n      implementation: this.implementation,\n    };\n    const baseConfig = super.getConfig();\n    delete baseConfig['cell'];\n    Object.assign(config, baseConfig);\n    return config;\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends serialization.Serializable>(\n      cls: serialization.SerializableConstructor<T>,\n      config: serialization.ConfigDict): T {\n    if (config['implmentation'] === 0) {\n      config['implementation'] = 1;\n    }\n    return new cls(config);\n  }\n}\nserialization.registerClass(GRU);\n\n// Porting Note: Since this is a superset of SimpleRNNLayerConfig, we extend\n//   that interface instead of repeating the fields.\nexport declare interface LSTMCellLayerArgs extends SimpleRNNCellLayerArgs {\n  /**\n   * Activation function to use for the recurrent step.\n   *\n   * Defaults to hard sigmoid (`hardSigmoid`).\n   *\n   * If `null`, no activation is applied.\n   */\n  recurrentActivation?: ActivationIdentifier;\n\n  /**\n   * If `true`, add 1 to the bias of the forget gate at initialization.\n   * Setting it to `true` will also force `biasInitializer = 'zeros'`.\n   * This is recommended in\n   * [Jozefowicz et\n   * al.](http://www.jmlr.org/proceedings/papers/v37/jozefowicz15.pdf).\n   */\n  unitForgetBias?: boolean;\n\n  /**\n   * Implementation mode, either 1 or 2.\n   *\n   * Mode 1 will structure its operations as a larger number of\n   *   smaller dot products and additions.\n   *\n   * Mode 2 will batch them into fewer, larger operations. These modes will\n   * have different performance profiles on different hardware and\n   * for different applications.\n   *\n   * Note: For superior performance, TensorFlow.js always uses implementation\n   * 2, regardless of the actual value of this configuration field.\n   */\n  implementation?: number;\n}\n\nexport class LSTMCell extends RNNCell {\n  /** @nocollapse */\n  static className = 'LSTMCell';\n  readonly units: number;\n  readonly activation: Activation;\n  readonly recurrentActivation: Activation;\n  readonly useBias: boolean;\n\n  readonly kernelInitializer: Initializer;\n  readonly recurrentInitializer: Initializer;\n  readonly biasInitializer: Initializer;\n  readonly unitForgetBias: boolean;\n\n  readonly kernelConstraint: Constraint;\n  readonly recurrentConstraint: Constraint;\n  readonly biasConstraint: Constraint;\n\n  readonly kernelRegularizer: Regularizer;\n  readonly recurrentRegularizer: Regularizer;\n  readonly biasRegularizer: Regularizer;\n\n  readonly dropout: number;\n  readonly recurrentDropout: number;\n\n  readonly stateSize: number[];\n  readonly implementation: number;\n\n  readonly DEFAULT_ACTIVATION = 'tanh';\n  readonly DEFAULT_RECURRENT_ACTIVATION = 'hardSigmoid';\n  readonly DEFAULT_KERNEL_INITIALIZER = 'glorotNormal';\n  readonly DEFAULT_RECURRENT_INITIALIZER = 'orthogonal';\n\n  readonly DEFAULT_BIAS_INITIALIZER = 'zeros';\n\n  kernel: LayerVariable;\n  recurrentKernel: LayerVariable;\n  bias: LayerVariable;\n\n  constructor(args: LSTMCellLayerArgs) {\n    super(args);\n\n    this.units = args.units;\n    assertPositiveInteger(this.units, 'units');\n    this.activation = getActivation(\n        args.activation === undefined ? this.DEFAULT_ACTIVATION :\n                                        args.activation);\n    this.recurrentActivation = getActivation(\n        args.recurrentActivation === undefined ?\n            this.DEFAULT_RECURRENT_ACTIVATION :\n            args.recurrentActivation);\n    this.useBias = args.useBias == null ? true : args.useBias;\n\n    this.kernelInitializer = getInitializer(\n        args.kernelInitializer || this.DEFAULT_KERNEL_INITIALIZER);\n    this.recurrentInitializer = getInitializer(\n        args.recurrentInitializer || this.DEFAULT_RECURRENT_INITIALIZER);\n\n    this.biasInitializer =\n        getInitializer(args.biasInitializer || this.DEFAULT_BIAS_INITIALIZER);\n    this.unitForgetBias = args.unitForgetBias;\n\n    this.kernelRegularizer = getRegularizer(args.kernelRegularizer);\n    this.recurrentRegularizer = getRegularizer(args.recurrentRegularizer);\n    this.biasRegularizer = getRegularizer(args.biasRegularizer);\n\n    this.kernelConstraint = getConstraint(args.kernelConstraint);\n    this.recurrentConstraint = getConstraint(args.recurrentConstraint);\n    this.biasConstraint = getConstraint(args.biasConstraint);\n\n    this.dropout = math_utils.min(\n        [1, math_utils.max([0, args.dropout == null ? 0 : args.dropout])]);\n    this.recurrentDropout = math_utils.min([\n      1,\n      math_utils.max(\n          [0, args.recurrentDropout == null ? 0 : args.recurrentDropout])\n    ]);\n    this.implementation = args.implementation;\n    this.stateSize = [this.units, this.units];\n    this.dropoutMask = null;\n    this.recurrentDropoutMask = null;\n  }\n\n  public build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n    const inputDim = inputShape[inputShape.length - 1];\n    this.kernel = this.addWeight(\n        'kernel', [inputDim, this.units * 4], null, this.kernelInitializer,\n        this.kernelRegularizer, true, this.kernelConstraint);\n    this.recurrentKernel = this.addWeight(\n        'recurrent_kernel', [this.units, this.units * 4], null,\n        this.recurrentInitializer, this.recurrentRegularizer, true,\n        this.recurrentConstraint);\n    let biasInitializer: Initializer;\n    if (this.useBias) {\n      if (this.unitForgetBias) {\n        const capturedBiasInit = this.biasInitializer;\n        const capturedUnits = this.units;\n        biasInitializer = new (class CustomInit extends Initializer {\n          /** @nocollapse */\n          static className = 'CustomInit';\n\n          apply(shape: Shape, dtype?: DataType): Tensor {\n            // TODO(cais): More informative variable names?\n            const bI = capturedBiasInit.apply([capturedUnits]);\n            const bF = (new Ones()).apply([capturedUnits]);\n            const bCAndH = capturedBiasInit.apply([capturedUnits * 2]);\n            return K.concatAlongFirstAxis(\n                K.concatAlongFirstAxis(bI, bF), bCAndH);\n          }\n        })();\n      } else {\n        biasInitializer = this.biasInitializer;\n      }\n      this.bias = this.addWeight(\n          'bias', [this.units * 4], null, biasInitializer, this.biasRegularizer,\n          true, this.biasConstraint);\n    } else {\n      this.bias = null;\n    }\n    // Porting Notes: Unlike the PyKeras implementation, we perform slicing\n    //   of the weights and bias in the call() method, at execution time.\n    this.built = true;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      const training = kwargs['training'] == null ? false : kwargs['training'];\n      inputs = inputs as Tensor[];\n      if (inputs.length !== 3) {\n        throw new ValueError(\n            `LSTMCell expects 3 input Tensors (inputs, h, c), got ` +\n            `${inputs.length}.`);\n      }\n      let hTMinus1 = inputs[1];    // Previous memory state.\n      const cTMinus1 = inputs[2];  // Previous carry state.\n      inputs = inputs[0];\n      if (0 < this.dropout && this.dropout < 1 && this.dropoutMask == null) {\n        this.dropoutMask = generateDropoutMask(\n                               () => tfc.onesLike(inputs as Tensor),\n                               this.dropout, training, 4) as Tensor[];\n      }\n      if (0 < this.recurrentDropout && this.recurrentDropout < 1 &&\n          this.recurrentDropoutMask == null) {\n        this.recurrentDropoutMask =\n            generateDropoutMask(\n                () => tfc.onesLike(hTMinus1), this.recurrentDropout, training,\n                4) as Tensor[];\n      }\n      const dpMask = this.dropoutMask as [Tensor, Tensor, Tensor, Tensor];\n      const recDpMask =\n          this.recurrentDropoutMask as [Tensor, Tensor, Tensor, Tensor];\n\n      // Note: For superior performance, TensorFlow.js always uses\n      // implementation 2 regardless of the actual value of\n      // config.implementation.\n      let i: Tensor;\n      let f: Tensor;\n      let c: Tensor;\n      let o: Tensor;\n      if (0 < this.dropout && this.dropout < 1) {\n        inputs = tfc.mul(inputs, dpMask[0]);\n      }\n      let z = K.dot(inputs, this.kernel.read());\n      if (0 < this.recurrentDropout && this.recurrentDropout < 1) {\n        hTMinus1 = tfc.mul(hTMinus1, recDpMask[0]);\n      }\n      z = tfc.add(z, K.dot(hTMinus1, this.recurrentKernel.read()));\n      if (this.useBias) {\n        z = K.biasAdd(z, this.bias.read());\n      }\n\n      const [z0, z1, z2, z3] = tfc.split(z, 4, z.rank - 1);\n\n      i = this.recurrentActivation.apply(z0);\n      f = this.recurrentActivation.apply(z1);\n      c = tfc.add(tfc.mul(f, cTMinus1), tfc.mul(i, this.activation.apply(z2)));\n      o = this.recurrentActivation.apply(z3);\n\n      const h = tfc.mul(o, this.activation.apply(c));\n      // TODO(cais): Add use_learning_phase flag properly.\n      return [h, h, c];\n    });\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      units: this.units,\n      activation: serializeActivation(this.activation),\n      recurrentActivation: serializeActivation(this.recurrentActivation),\n      useBias: this.useBias,\n      kernelInitializer: serializeInitializer(this.kernelInitializer),\n      recurrentInitializer: serializeInitializer(this.recurrentInitializer),\n      biasInitializer: serializeInitializer(this.biasInitializer),\n      unitForgetBias: this.unitForgetBias,\n      kernelRegularizer: serializeRegularizer(this.kernelRegularizer),\n      recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer),\n      biasRegularizer: serializeRegularizer(this.biasRegularizer),\n      activityRegularizer: serializeRegularizer(this.activityRegularizer),\n      kernelConstraint: serializeConstraint(this.kernelConstraint),\n      recurrentConstraint: serializeConstraint(this.recurrentConstraint),\n      biasConstraint: serializeConstraint(this.biasConstraint),\n      dropout: this.dropout,\n      recurrentDropout: this.recurrentDropout,\n      implementation: this.implementation,\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n}\nserialization.registerClass(LSTMCell);\n\n// Porting Note: Since this is a superset of SimpleRNNLayerConfig, we inherit\n//   from that interface instead of repeating the fields here.\nexport declare interface LSTMLayerArgs extends SimpleRNNLayerArgs {\n  /**\n   * Activation function to use for the recurrent step.\n   *\n   * Defaults to hard sigmoid (`hardSigmoid`).\n   *\n   * If `null`, no activation is applied.\n   */\n  recurrentActivation?: ActivationIdentifier;\n\n  /**\n   * If `true`, add 1 to the bias of the forget gate at initialization.\n   * Setting it to `true` will also force `biasInitializer = 'zeros'`.\n   * This is recommended in\n   * [Jozefowicz et\n   * al.](http://www.jmlr.org/proceedings/papers/v37/jozefowicz15.pdf).\n   */\n  unitForgetBias?: boolean;\n\n  /**\n   * Implementation mode, either 1 or 2.\n   *   Mode 1 will structure its operations as a larger number of\n   *   smaller dot products and additions, whereas mode 2 will\n   *   batch them into fewer, larger operations. These modes will\n   *   have different performance profiles on different hardware and\n   *   for different applications.\n   *\n   * Note: For superior performance, TensorFlow.js always uses implementation\n   * 2, regardless of the actual value of this config field.\n   */\n  implementation?: number;\n}\n\nexport class LSTM extends RNN {\n  /** @nocollapse */\n  static className = 'LSTM';\n  constructor(args: LSTMLayerArgs) {\n    if (args.implementation === 0) {\n      console.warn(\n          '`implementation=0` has been deprecated, and now defaults to ' +\n          '`implementation=1`. Please update your layer call.');\n    }\n    args.cell = new LSTMCell(args);\n    super(args as RNNLayerArgs);\n    // TODO(cais): Add activityRegularizer.\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      if (this.cell.dropoutMask != null) {\n        tfc.dispose(this.cell.dropoutMask);\n        this.cell.dropoutMask = null;\n      }\n      if (this.cell.recurrentDropoutMask != null) {\n        tfc.dispose(this.cell.recurrentDropoutMask);\n        this.cell.recurrentDropoutMask = null;\n      }\n      const mask = kwargs == null ? null : kwargs['mask'];\n      const training = kwargs == null ? null : kwargs['training'];\n      const initialState: Tensor[] =\n          kwargs == null ? null : kwargs['initialState'];\n      return super.call(inputs, {mask, training, initialState});\n    });\n  }\n\n  get units(): number {\n    return (this.cell as LSTMCell).units;\n  }\n\n  get activation(): Activation {\n    return (this.cell as LSTMCell).activation;\n  }\n\n  get recurrentActivation(): Activation {\n    return (this.cell as LSTMCell).recurrentActivation;\n  }\n\n  get useBias(): boolean {\n    return (this.cell as LSTMCell).useBias;\n  }\n\n  get kernelInitializer(): Initializer {\n    return (this.cell as LSTMCell).kernelInitializer;\n  }\n\n  get recurrentInitializer(): Initializer {\n    return (this.cell as LSTMCell).recurrentInitializer;\n  }\n\n  get biasInitializer(): Initializer {\n    return (this.cell as LSTMCell).biasInitializer;\n  }\n\n  get unitForgetBias(): boolean {\n    return (this.cell as LSTMCell).unitForgetBias;\n  }\n\n  get kernelRegularizer(): Regularizer {\n    return (this.cell as LSTMCell).kernelRegularizer;\n  }\n\n  get recurrentRegularizer(): Regularizer {\n    return (this.cell as LSTMCell).recurrentRegularizer;\n  }\n\n  get biasRegularizer(): Regularizer {\n    return (this.cell as LSTMCell).biasRegularizer;\n  }\n\n  get kernelConstraint(): Constraint {\n    return (this.cell as LSTMCell).kernelConstraint;\n  }\n\n  get recurrentConstraint(): Constraint {\n    return (this.cell as LSTMCell).recurrentConstraint;\n  }\n\n  get biasConstraint(): Constraint {\n    return (this.cell as LSTMCell).biasConstraint;\n  }\n\n  get dropout(): number {\n    return (this.cell as LSTMCell).dropout;\n  }\n\n  get recurrentDropout(): number {\n    return (this.cell as LSTMCell).recurrentDropout;\n  }\n\n  get implementation(): number {\n    return (this.cell as LSTMCell).implementation;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      units: this.units,\n      activation: serializeActivation(this.activation),\n      recurrentActivation: serializeActivation(this.recurrentActivation),\n      useBias: this.useBias,\n      kernelInitializer: serializeInitializer(this.kernelInitializer),\n      recurrentInitializer: serializeInitializer(this.recurrentInitializer),\n      biasInitializer: serializeInitializer(this.biasInitializer),\n      unitForgetBias: this.unitForgetBias,\n      kernelRegularizer: serializeRegularizer(this.kernelRegularizer),\n      recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer),\n      biasRegularizer: serializeRegularizer(this.biasRegularizer),\n      activityRegularizer: serializeRegularizer(this.activityRegularizer),\n      kernelConstraint: serializeConstraint(this.kernelConstraint),\n      recurrentConstraint: serializeConstraint(this.recurrentConstraint),\n      biasConstraint: serializeConstraint(this.biasConstraint),\n      dropout: this.dropout,\n      recurrentDropout: this.recurrentDropout,\n      implementation: this.implementation,\n    };\n    const baseConfig = super.getConfig();\n    delete baseConfig['cell'];\n    Object.assign(config, baseConfig);\n    return config;\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends serialization.Serializable>(\n      cls: serialization.SerializableConstructor<T>,\n      config: serialization.ConfigDict): T {\n    if (config['implmentation'] === 0) {\n      config['implementation'] = 1;\n    }\n    return new cls(config);\n  }\n}\nserialization.registerClass(LSTM);\n\nexport declare interface StackedRNNCellsArgs extends LayerArgs {\n  /**\n   * A `Array` of `RNNCell` instances.\n   */\n  cells: RNNCell[];\n}\n\nexport class StackedRNNCells extends RNNCell {\n  /** @nocollapse */\n  static className = 'StackedRNNCells';\n  protected cells: RNNCell[];\n\n  constructor(args: StackedRNNCellsArgs) {\n    super(args);\n    this.cells = args.cells;\n  }\n\n  get stateSize(): number[] {\n    // States are a flat list in reverse order of the cell stack.\n    // This allows perserving the requirement `stack.statesize[0] ===\n    // outputDim`. E.g., states of a 2-layer LSTM would be `[h2, c2, h1, c1]`,\n    // assuming one LSTM has states `[h, c]`.\n    const stateSize: number[] = [];\n    for (const cell of this.cells.slice().reverse()) {\n      if (Array.isArray(cell.stateSize)) {\n        stateSize.push(...cell.stateSize);\n      } else {\n        stateSize.push(cell.stateSize);\n      }\n    }\n    return stateSize;\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      inputs = inputs as Tensor[];\n      let states = inputs.slice(1);\n\n      // Recover per-cell states.\n      const nestedStates: Tensor[][] = [];\n      for (const cell of this.cells.slice().reverse()) {\n        if (Array.isArray(cell.stateSize)) {\n          nestedStates.push(states.splice(0, cell.stateSize.length));\n        } else {\n          nestedStates.push(states.splice(0, 1));\n        }\n      }\n      nestedStates.reverse();\n\n      // Call the cells in order and store the returned states.\n      const newNestedStates: Tensor[][] = [];\n      let callInputs: Tensor[];\n      for (let i = 0; i < this.cells.length; ++i) {\n        const cell = this.cells[i];\n        states = nestedStates[i];\n        // TODO(cais): Take care of constants.\n        if (i === 0) {\n          callInputs = [inputs[0]].concat(states);\n        } else {\n          callInputs = [callInputs[0]].concat(states);\n        }\n        callInputs = cell.call(callInputs, kwargs) as Tensor[];\n        newNestedStates.push(callInputs.slice(1));\n      }\n\n      // Format the new states as a flat list in reverse cell order.\n      states = [];\n      for (const cellStates of newNestedStates.slice().reverse()) {\n        states.push(...cellStates);\n      }\n      return [callInputs[0]].concat(states);\n    });\n  }\n\n  public build(inputShape: Shape|Shape[]): void {\n    if (isArrayOfShapes(inputShape)) {\n      // TODO(cais): Take care of input constants.\n      // const constantShape = inputShape.slice(1);\n      inputShape = (inputShape as Shape[])[0];\n    }\n    inputShape = inputShape as Shape;\n    let outputDim: number;\n    this.cells.forEach((cell, i) => {\n      nameScope(`RNNCell_${i}`, () => {\n        // TODO(cais): Take care of input constants.\n\n        cell.build(inputShape);\n        if (Array.isArray(cell.stateSize)) {\n          outputDim = cell.stateSize[0];\n        } else {\n          outputDim = cell.stateSize;\n        }\n        inputShape = [inputShape[0], outputDim] as Shape;\n      });\n    });\n    this.built = true;\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const cellConfigs: serialization.ConfigDict[] = [];\n    for (const cell of this.cells) {\n      cellConfigs.push({\n        'className': cell.getClassName(),\n        'config': cell.getConfig(),\n      });\n    }\n    const config: serialization.ConfigDict = {'cells': cellConfigs};\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends serialization.Serializable>(\n      cls: serialization.SerializableConstructor<T>,\n      config: serialization.ConfigDict,\n      customObjects = {} as serialization.ConfigDict): T {\n    const cells: RNNCell[] = [];\n    for (const cellConfig of (config['cells'] as serialization.ConfigDict[])) {\n      cells.push(deserialize(cellConfig, customObjects) as RNNCell);\n    }\n    return new cls({cells});\n  }\n\n  get trainableWeights(): LayerVariable[] {\n    if (!this.trainable) {\n      return [];\n    }\n    const weights: LayerVariable[] = [];\n    for (const cell of this.cells) {\n      weights.push(...cell.trainableWeights);\n    }\n    return weights;\n  }\n\n  get nonTrainableWeights(): LayerVariable[] {\n    const weights: LayerVariable[] = [];\n    for (const cell of this.cells) {\n      weights.push(...cell.nonTrainableWeights);\n    }\n    if (!this.trainable) {\n      const trainableWeights: LayerVariable[] = [];\n      for (const cell of this.cells) {\n        trainableWeights.push(...cell.trainableWeights);\n      }\n      return trainableWeights.concat(weights);\n    }\n    return weights;\n  }\n\n  /**\n   * Retrieve the weights of a the model.\n   *\n   * @returns A flat `Array` of `tf.Tensor`s.\n   */\n  getWeights(): Tensor[] {\n    const weights: LayerVariable[] = [];\n    for (const cell of this.cells) {\n      weights.push(...cell.weights);\n    }\n    return batchGetValue(weights);\n  }\n\n  /**\n   * Set the weights of the model.\n   *\n   * @param weights An `Array` of `tf.Tensor`s with shapes and types matching\n   *     the output of `getWeights()`.\n   */\n  setWeights(weights: Tensor[]): void {\n    const tuples: Array<[LayerVariable, Tensor]> = [];\n    for (const cell of this.cells) {\n      const numParams = cell.weights.length;\n      const inputWeights = weights.splice(numParams);\n      for (let i = 0; i < cell.weights.length; ++i) {\n        tuples.push([cell.weights[i], inputWeights[i]]);\n      }\n    }\n    batchSetValue(tuples);\n  }\n\n  // TODO(cais): Maybe implemnt `losses` and `getLossesFor`.\n}\nserialization.registerClass(StackedRNNCells);\n\nfunction generateDropoutMask(\n    ones: () => Tensor, rate: number, training: boolean = null,\n    count = 1): Tensor|Tensor[] {\n  function droppedInputs(): Tensor {\n    return K.dropout(ones(), rate);\n  }\n  if (count > 1) {\n    const mask: Tensor[] = [];\n    for (let i = 0; i < count; i++) {\n      mask.push(K.inTrainPhase(droppedInputs, ones, training));\n    }\n    return mask.map(m => tfc.keep(m.clone()));\n  } else {\n    return tfc.keep(K.inTrainPhase(droppedInputs, ones, training).clone());\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\n/**\n * Layers that augment the functionality of a base layer.\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {serialization, Tensor, tidy} from '@tensorflow/tfjs-core';\nimport * as K from '../backend/tfjs_backend';\nimport {nameScope} from '../common';\nimport {InputSpec, Layer, LayerArgs, SymbolicTensor} from '../engine/topology';\nimport {NotImplementedError, ValueError} from '../errors';\nimport {BidirectionalMergeMode, Shape, VALID_BIDIRECTIONAL_MERGE_MODES} from '../keras_format/common';\nimport {Kwargs} from '../types';\nimport {RegularizerFn, RnnStepFunction} from '../types';\nimport * as generic_utils from '../utils/generic_utils';\nimport {getExactlyOneShape, getExactlyOneTensor} from '../utils/types_utils';\nimport {LayerVariable} from '../variables';\n\nimport {rnn, RNN, standardizeArgs} from './recurrent';\nimport {deserialize} from './serialization';\n\nexport declare interface WrapperLayerArgs extends LayerArgs {\n  /**\n   * The layer to be wrapped.\n   */\n  layer: Layer;\n}\n\n/**\n * Abstract wrapper base class.\n *\n * Wrappers take another layer and augment it in various ways.\n * Do not use this class as a layer, it is only an abstract base class.\n * Two usable wrappers are the `TimeDistributed` and `Bidirectional` wrappers.\n */\nexport abstract class Wrapper extends Layer {\n  readonly layer: Layer;\n\n  constructor(args: WrapperLayerArgs) {\n    // Porting Note: In PyKeras, `self.layer` is set prior to the calling\n    //   `super()`. But we can't do that here due to TypeScript's restriction.\n    //   See: https://github.com/Microsoft/TypeScript/issues/8277\n    //   As a result, we have to add checks in `get trainable()` and\n    //   `set trainable()` below in order to prevent using `this.layer` when\n    //   its value is `undefined`. The super constructor does use the getter\n    //   and the setter of `this.layer`.\n    super(args);\n    this.layer = args.layer;\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    this.built = true;\n  }\n\n  // TODO(cais): Implement activityRegularizer getter.\n\n  get trainable(): boolean {\n    // Porting Note: the check of `this.layer` here is necessary due to the\n    //   way the `constructor` of this class is written (see Porting Note\n    //   above).\n    if (this.layer != null) {\n      return this.layer.trainable;\n    } else {\n      return false;\n    }\n  }\n\n  set trainable(value: boolean) {\n    // Porting Note: the check of `this.layer` here is necessary due to the\n    //   way the `constructor` of this class is written (see Porting Note\n    //   above).\n    if (this.layer != null) {\n      this.layer.trainable = value;\n    }\n  }\n\n  get trainableWeights(): LayerVariable[] {\n    return this.layer.trainableWeights;\n  }\n  // TODO(cais): Implement setter for trainableWeights.\n\n  get nonTrainableWeights(): LayerVariable[] {\n    return this.layer.nonTrainableWeights;\n  }\n  // TODO(cais): Implement setter for nonTrainableWeights.\n\n  get updates(): Tensor[] {\n    // tslint:disable-next-line:no-any\n    return (this.layer as any)._updates;\n  }\n\n  // TODO(cais): Implement getUpdatesFor().\n\n  get losses(): RegularizerFn[] {\n    return this.layer.losses;\n  }\n\n  // TODO(cais): Implement getLossesFor().\n\n  getWeights(): Tensor[] {\n    return this.layer.getWeights();\n  }\n\n  setWeights(weights: Tensor[]): void {\n    this.layer.setWeights(weights);\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      'layer': {\n        'className': this.layer.getClassName(),\n        'config': this.layer.getConfig(),\n      }\n    };\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n\n  setFastWeightInitDuringBuild(value: boolean) {\n    super.setFastWeightInitDuringBuild(value);\n    if (this.layer != null) {\n      this.layer.setFastWeightInitDuringBuild(value);\n    }\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends serialization.Serializable>(\n      cls: serialization.SerializableConstructor<T>,\n      config: serialization.ConfigDict,\n      customObjects = {} as serialization.ConfigDict): T {\n    const layerConfig = config['layer'] as serialization.ConfigDict;\n    const layer = deserialize(layerConfig, customObjects) as Layer;\n    delete config['layer'];\n    const newConfig = {layer};\n    Object.assign(newConfig, config);\n    return new cls(newConfig);\n  }\n}\n\nexport class TimeDistributed extends Wrapper {\n  /** @nocollapse */\n  static className = 'TimeDistributed';\n  constructor(args: WrapperLayerArgs) {\n    super(args);\n    this.supportsMasking = true;\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    inputShape = getExactlyOneShape(inputShape);\n    if (inputShape.length < 3) {\n      throw new ValueError(\n          `TimeDistributed layer expects an input shape >= 3D, but received ` +\n          `input shape ${JSON.stringify(inputShape)}`);\n    }\n    this.inputSpec = [{shape: inputShape}];\n    const childInputShape = [inputShape[0]].concat(inputShape.slice(2));\n    if (!this.layer.built) {\n      this.layer.build(childInputShape);\n      this.layer.built = true;\n    }\n    super.build(inputShape);\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    inputShape = getExactlyOneShape(inputShape);\n    const childInputShape = [inputShape[0]].concat(inputShape.slice(2));\n    const childOutputShape =\n        this.layer.computeOutputShape(childInputShape) as Shape;\n    const timesteps = inputShape[1];\n    return [childOutputShape[0], timesteps].concat(childOutputShape.slice(1));\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      // TODO(cais): Add 'training' and 'useLearningPhase' to kwargs.\n      inputs = getExactlyOneTensor(inputs);\n      // Porting Note: In tfjs-layers, `inputs` are always concrete tensor\n      // values. Hence the inputs can't have an undetermined first (batch)\n      // dimension, which is why we always use the K.rnn approach here.\n      const step: RnnStepFunction = (inputs: Tensor, states: Tensor[]) => {\n        // TODO(cais): Add useLearningPhase.\n        // NOTE(cais): `layer.call` may return a length-1 array of Tensor in\n        //   some cases (e.g., `layer` is a `Sequential` instance), which is\n        //   why `getExactlyOneTensor` is used below.\n        const output = getExactlyOneTensor(this.layer.call(inputs, kwargs));\n        return [output, []];\n      };\n      const rnnOutputs =\n          rnn(step, inputs, [], false /* goBackwards */, null /* mask */,\n              null /* constants */, false /* unroll */,\n              true /* needPerStepOutputs */);\n      const y = rnnOutputs[1];\n      // TODO(cais): Add activity regularization.\n      // TODO(cais): Add useLearningPhase.\n      return y;\n    });\n  }\n\n  // TODO(cais): Implement detailed computeMask() logic.\n}\nserialization.registerClass(TimeDistributed);\n\nexport function checkBidirectionalMergeMode(value?: string): void {\n  generic_utils.checkStringTypeUnionValue(\n      VALID_BIDIRECTIONAL_MERGE_MODES, 'BidirectionalMergeMode', value);\n}\n\nexport declare interface BidirectionalLayerArgs extends WrapperLayerArgs {\n  /**\n   * The instance of an `RNN` layer to be wrapped.\n   */\n  layer: RNN;\n\n  /**\n   * Mode by which outputs of the forward and backward RNNs are\n   * combined. If `null` or `undefined`, the output will not be\n   * combined, they will be returned as an `Array`.\n   *\n   * If `undefined` (i.e., not provided), defaults to `'concat'`.\n   */\n  mergeMode?: BidirectionalMergeMode;\n}\n\nconst DEFAULT_BIDIRECTIONAL_MERGE_MODE: BidirectionalMergeMode = 'concat';\n\nexport class Bidirectional extends Wrapper {\n  /** @nocollapse */\n  static className = 'Bidirectional';\n  mergeMode: BidirectionalMergeMode;\n  private forwardLayer: RNN;\n  private backwardLayer: RNN;\n  private returnSequences: boolean;\n  private returnState: boolean;\n  private numConstants?: number;\n  private _trainable: boolean;\n\n  constructor(args: BidirectionalLayerArgs) {\n    super(args);\n\n    // Note: When creating `this.forwardLayer`, the original Layer object\n    //   (`config.layer`) ought to be cloned. This is why we call\n    //   `getConfig()` followed by `deserialize()`. Without this cloning,\n    //   the layer names saved during serialization will incorrectly contain\n    //   the 'forward_' prefix. In Python Keras, this is done using\n    //   `copy.copy` (shallow copy), which does not have a simple equivalent\n    //   in JavaScript. JavaScript's `Object.assign()` does not copy\n    //   methods.\n    const layerConfig = args.layer.getConfig();\n    const forwDict: serialization.ConfigDict = {};\n    forwDict['className'] = args.layer.getClassName();\n    forwDict['config'] = layerConfig;\n    this.forwardLayer = deserialize(forwDict) as RNN;\n    layerConfig['goBackwards'] =\n        layerConfig['goBackwards'] === true ? false : true;\n    const backDict: serialization.ConfigDict = {};\n    backDict['className'] = args.layer.getClassName();\n    backDict['config'] = layerConfig;\n    this.backwardLayer = deserialize(backDict) as RNN;\n    this.forwardLayer.name = 'forward_' + this.forwardLayer.name;\n    this.backwardLayer.name = 'backward_' + this.backwardLayer.name;\n\n    this.mergeMode = args.mergeMode === undefined ?\n        DEFAULT_BIDIRECTIONAL_MERGE_MODE :\n        args.mergeMode;\n    checkBidirectionalMergeMode(this.mergeMode);\n    if (args.weights) {\n      throw new NotImplementedError(\n          'weights support is not implemented for Bidirectional layer yet.');\n    }\n    this._stateful = args.layer.stateful;\n    this.returnSequences = args.layer.returnSequences;\n    this.returnState = args.layer.returnState;\n    this.supportsMasking = true;\n    this._trainable = true;\n    this.inputSpec = args.layer.inputSpec;\n    this.numConstants = null;\n  }\n\n  get trainable(): boolean {\n    return this._trainable;\n  }\n\n  set trainable(value: boolean) {\n    // Porting Note: the check of `this.layer` here is necessary due to the\n    //   way the `constructor` of this class is written (see Porting Note\n    //   above).\n    this._trainable = value;\n    if (this.forwardLayer != null) {\n      this.forwardLayer.trainable = value;\n    }\n    if (this.backwardLayer != null) {\n      this.backwardLayer.trainable = value;\n    }\n  }\n\n  getWeights(): Tensor[] {\n    return this.forwardLayer.getWeights().concat(\n        this.backwardLayer.getWeights());\n  }\n\n  setWeights(weights: Tensor[]): void {\n    const numWeights = weights.length;\n    const numeightsOver2 = Math.floor(numWeights / 2);\n    this.forwardLayer.setWeights(weights.slice(0, numeightsOver2));\n    this.backwardLayer.setWeights(weights.slice(numeightsOver2));\n  }\n\n  computeOutputShape(inputShape: Shape|Shape[]): Shape|Shape[] {\n    let layerShapes: Shape|Shape[] =\n        this.forwardLayer.computeOutputShape(inputShape);\n    if (!(Array.isArray(layerShapes) && Array.isArray(layerShapes[0]))) {\n      layerShapes = [layerShapes as Shape];\n    }\n    layerShapes = layerShapes as Shape[];\n\n    let outputShape: Shape;\n    let outputShapes: Shape[];\n    let stateShape: Shape[];\n    if (this.returnState) {\n      stateShape = layerShapes.slice(1);\n      outputShape = layerShapes[0];\n    } else {\n      outputShape = layerShapes[0];\n    }\n    outputShape = outputShape;\n    if (this.mergeMode === 'concat') {\n      outputShape[outputShape.length - 1] *= 2;\n      outputShapes = [outputShape];\n    } else if (this.mergeMode == null) {\n      outputShapes = [outputShape, outputShape.slice()];\n    } else {\n      outputShapes = [outputShape];\n    }\n\n    if (this.returnState) {\n      if (this.mergeMode == null) {\n        return outputShapes.concat(stateShape).concat(stateShape.slice());\n      }\n      return [outputShape].concat(stateShape).concat(stateShape.slice());\n    }\n    return generic_utils.singletonOrArray(outputShapes);\n  }\n\n  apply(\n      inputs: Tensor|Tensor[]|SymbolicTensor|SymbolicTensor[],\n      kwargs?: Kwargs): Tensor|Tensor[]|SymbolicTensor|SymbolicTensor[] {\n    let initialState: Tensor[]|SymbolicTensor[] =\n        kwargs == null ? null : kwargs['initialState'];\n    let constants: Tensor[]|SymbolicTensor[] =\n        kwargs == null ? null : kwargs['constants'];\n    if (kwargs == null) {\n      kwargs = {};\n    }\n    const standardized =\n        standardizeArgs(inputs, initialState, constants, this.numConstants);\n    inputs = standardized.inputs;\n    initialState = standardized.initialState;\n    constants = standardized.constants;\n\n    if (Array.isArray(inputs)) {\n      initialState = (inputs as Tensor[] | SymbolicTensor[]).slice(1);\n      inputs = (inputs as Tensor[] | SymbolicTensor[])[0];\n    }\n\n    if ((initialState == null || initialState.length === 0) &&\n        constants == null) {\n      return super.apply(inputs, kwargs);\n    }\n    const additionalInputs: Array<Tensor|SymbolicTensor> = [];\n    const additionalSpecs: InputSpec[] = [];\n    if (initialState != null) {\n      const numStates = initialState.length;\n      if (numStates % 2 > 0) {\n        throw new ValueError(\n            'When passing `initialState` to a Bidrectional RNN, ' +\n            'the state should be an Array containing the states of ' +\n            'the underlying RNNs.');\n      }\n      kwargs['initialState'] = initialState;\n      additionalInputs.push(...initialState);\n      const stateSpecs = (initialState as Array<Tensor|SymbolicTensor>)\n                             .map(state => new InputSpec({shape: state.shape}));\n      this.forwardLayer.stateSpec = stateSpecs.slice(0, numStates / 2);\n      this.backwardLayer.stateSpec = stateSpecs.slice(numStates / 2);\n      additionalSpecs.push(...stateSpecs);\n    }\n    if (constants != null) {\n      throw new NotImplementedError(\n          'Support for constants in Bidirectional layers is not ' +\n          'implemented yet.');\n    }\n\n    const isSymbolicTensor = additionalInputs[0] instanceof SymbolicTensor;\n    for (const tensor of additionalInputs) {\n      if (tensor instanceof SymbolicTensor !== isSymbolicTensor) {\n        throw new ValueError(\n            'The initial state of a Bidirectional layer cannot be ' +\n            'specified as a mix of symbolic and non-symbolic tensors');\n      }\n    }\n\n    if (isSymbolicTensor) {\n      // Compute the full input and specs, including the states.\n      const fullInput = [inputs].concat(additionalInputs);\n      const fullInputSpec = this.inputSpec.concat(additionalSpecs);\n      // Perform the call temporarily and replace inputSpec.\n      // Note: with initial states symbolic calls and non-symbolic calls to\n      // this method differ in how the initial states are passed. For\n      // symbolic calls, the initial states are passed in the first arg, as\n      // an Array of SymbolicTensors; for non-symbolic calls, they are\n      // passed in the second arg as a part of the kwargs. Hence the need to\n      // temporarily modify inputSpec here.\n      // TODO(cais): Make refactoring so that this hacky code below is no\n      // longer needed.\n      const originalInputSpec = this.inputSpec;\n      this.inputSpec = fullInputSpec;\n      const output =\n          super.apply(fullInput as Tensor[] | SymbolicTensor[], kwargs);\n      this.inputSpec = originalInputSpec;\n      return output;\n    } else {\n      return super.apply(inputs, kwargs);\n    }\n  }\n\n  call(inputs: Tensor|Tensor[], kwargs: Kwargs): Tensor|Tensor[] {\n    return tidy(() => {\n      const initialState = kwargs['initialState'];\n\n      let y: Tensor|Tensor[];\n      let yRev: Tensor|Tensor[];\n      if (initialState == null) {\n        y = this.forwardLayer.call(inputs, kwargs);\n        yRev = this.backwardLayer.call(inputs, kwargs);\n      } else {\n        const forwardState = initialState.slice(0, initialState.length / 2);\n        const backwardState = initialState.slice(initialState.length / 2);\n        y = this.forwardLayer.call(\n            inputs, Object.assign(kwargs, {initialState: forwardState}));\n        yRev = this.backwardLayer.call(\n            inputs, Object.assign(kwargs, {initialState: backwardState}));\n      }\n\n      let states: Tensor[];\n      if (this.returnState) {\n        if (Array.isArray(y)) {\n          states = y.slice(1).concat((yRev as Tensor[]).slice(1));\n        } else {\n        }\n        y = (y as Tensor[])[0];\n        yRev = (yRev as Tensor[])[0];\n      }\n\n      if (this.returnSequences) {\n        yRev = tfc.reverse(yRev as Tensor, 1);\n      }\n\n      let output: Tensor|Tensor[];\n      if (this.mergeMode === 'concat') {\n        output = K.concatenate([y as Tensor, yRev as Tensor]);\n      } else if (this.mergeMode === 'sum') {\n        output = tfc.add(y as Tensor, yRev as Tensor);\n      } else if (this.mergeMode === 'ave') {\n        output = tfc.mul(.5, tfc.add(y as Tensor, yRev as Tensor));\n      } else if (this.mergeMode === 'mul') {\n        output = tfc.mul(y as Tensor, yRev as Tensor);\n      } else if (this.mergeMode == null) {\n        output = [y as Tensor, yRev as Tensor];\n      }\n\n      // TODO(cais): Properly set learning phase.\n      if (this.returnState) {\n        if (this.mergeMode == null) {\n          return (output as Tensor[]).concat(states);\n        }\n        return [output as Tensor].concat(states);\n      }\n      return output;\n    });\n  }\n\n  resetStates(states?: Tensor|Tensor[]): void {\n    this.forwardLayer.resetStates();\n    this.backwardLayer.resetStates();\n  }\n\n  build(inputShape: Shape|Shape[]): void {\n    nameScope(this.forwardLayer.name, () => {\n      this.forwardLayer.build(inputShape);\n    });\n    nameScope(this.backwardLayer.name, () => {\n      this.backwardLayer.build(inputShape);\n    });\n    this.built = true;\n  }\n\n  computeMask(inputs: Tensor|Tensor[], mask?: Tensor|Tensor[]): Tensor\n      |Tensor[] {\n    if (Array.isArray(mask)) {\n      mask = mask[0];\n    }\n    let outputMask: Tensor|Tensor[];\n    if (this.returnSequences) {\n      if (this.mergeMode == null) {\n        outputMask = [mask, mask];\n      } else {\n        outputMask = mask;\n      }\n    } else {\n      if (this.mergeMode == null) {\n        outputMask = [null, null];\n      } else {\n        outputMask = null;\n      }\n    }\n    if (this.returnState) {\n      const states = this.forwardLayer.states;\n      const stateMask: Tensor[] = states.map(state => null);\n      if (Array.isArray(outputMask)) {\n        return outputMask.concat(stateMask).concat(stateMask);\n      } else {\n        return [outputMask].concat(stateMask).concat(stateMask);\n      }\n    } else {\n      return outputMask;\n    }\n  }\n\n  get trainableWeights(): LayerVariable[] {\n    return this.forwardLayer.trainableWeights.concat(\n        this.backwardLayer.trainableWeights);\n  }\n\n  get nonTrainableWeights(): LayerVariable[] {\n    return this.forwardLayer.nonTrainableWeights.concat(\n        this.backwardLayer.nonTrainableWeights);\n  }\n\n  // TODO(cais): Implement constraints().\n\n  setFastWeightInitDuringBuild(value: boolean) {\n    super.setFastWeightInitDuringBuild(value);\n    if (this.forwardLayer != null) {\n      this.forwardLayer.setFastWeightInitDuringBuild(value);\n    }\n    if (this.backwardLayer != null) {\n      this.backwardLayer.setFastWeightInitDuringBuild(value);\n    }\n  }\n\n  getConfig(): serialization.ConfigDict {\n    const config: serialization.ConfigDict = {\n      'mergeMode': this.mergeMode,\n    };\n    // TODO(cais): Add logic for `numConstants` once the property is added.\n    const baseConfig = super.getConfig();\n    Object.assign(config, baseConfig);\n    return config;\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends serialization.Serializable>(\n      cls: serialization.SerializableConstructor<T>,\n      config: serialization.ConfigDict): T {\n    const rnnLayer =\n        deserialize(config['layer'] as serialization.ConfigDict) as RNN;\n    delete config['layer'];\n    // TODO(cais): Add logic for `numConstants` once the property is added.\n    if (config['numConstants'] != null) {\n      throw new NotImplementedError(\n          `Deserialization of a Bidirectional layer with numConstants ` +\n          `present is not supported yet.`);\n    }\n    // tslint:disable-next-line:no-any\n    const newConfig: {[key: string]: any} = config;\n    newConfig['layer'] = rnnLayer;\n    return new cls(newConfig);\n  }\n}\nserialization.registerClass(Bidirectional);\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\n\nimport {InputLayer, InputLayerArgs} from './engine/input_layer';\nimport {Layer, LayerArgs} from './engine/topology';\nimport {input} from './exports';\nimport {ELU, ELULayerArgs, LeakyReLU, LeakyReLULayerArgs, PReLU, PReLULayerArgs, ReLU, ReLULayerArgs, Softmax, SoftmaxLayerArgs, ThresholdedReLU, ThresholdedReLULayerArgs} from './layers/advanced_activations';\nimport {Conv1D, Conv2D, Conv2DTranspose, Conv3D, ConvLayerArgs, Cropping2D, Cropping2DLayerArgs, SeparableConv2D, SeparableConvLayerArgs, UpSampling2D, UpSampling2DLayerArgs} from './layers/convolutional';\nimport {DepthwiseConv2D, DepthwiseConv2DLayerArgs} from './layers/convolutional_depthwise';\nimport {Activation, ActivationLayerArgs, Dense, DenseLayerArgs, Dropout, DropoutLayerArgs, Flatten, FlattenLayerArgs, Masking, MaskingArgs, Permute, PermuteLayerArgs, RepeatVector, RepeatVectorLayerArgs, Reshape, ReshapeLayerArgs, SpatialDropout1D, SpatialDropout1DLayerConfig} from './layers/core';\nimport {Embedding, EmbeddingLayerArgs} from './layers/embeddings';\nimport {Add, Average, Concatenate, ConcatenateLayerArgs, Dot, DotLayerArgs, Maximum, Minimum, Multiply} from './layers/merge';\nimport {AlphaDropout, AlphaDropoutArgs, GaussianDropout, GaussianDropoutArgs, GaussianNoise, GaussianNoiseArgs} from './layers/noise';\nimport {BatchNormalization, BatchNormalizationLayerArgs, LayerNormalization, LayerNormalizationLayerArgs} from './layers/normalization';\nimport {ZeroPadding2D, ZeroPadding2DLayerArgs} from './layers/padding';\nimport {AveragePooling1D, AveragePooling2D, AveragePooling3D, GlobalAveragePooling1D, GlobalAveragePooling2D, GlobalMaxPooling1D, GlobalMaxPooling2D, GlobalPooling2DLayerArgs, MaxPooling1D, MaxPooling2D, MaxPooling3D, Pooling1DLayerArgs, Pooling2DLayerArgs, Pooling3DLayerArgs} from './layers/pooling';\nimport {GRU, GRUCell, GRUCellLayerArgs, GRULayerArgs, LSTM, LSTMCell, LSTMCellLayerArgs, LSTMLayerArgs, RNN, RNNCell, RNNLayerArgs, SimpleRNN, SimpleRNNCell, SimpleRNNCellLayerArgs, SimpleRNNLayerArgs, StackedRNNCells, StackedRNNCellsArgs} from './layers/recurrent';\nimport {Bidirectional, BidirectionalLayerArgs, TimeDistributed, WrapperLayerArgs} from './layers/wrappers';\n\n// TODO(cais): Add doc string to all the public static functions in this\n//   class; include exectuable JavaScript code snippets where applicable\n//   (b/74074458).\n\n// Input Layer.\n/**\n * An input layer is an entry point into a `tf.LayersModel`.\n *\n * `InputLayer` is generated automatically for `tf.Sequential`` models by\n * specifying the `inputshape` or `batchInputShape` for the first layer.  It\n * should not be specified explicitly. However, it can be useful sometimes,\n * e.g., when constructing a sequential model from a subset of another\n * sequential model's layers. Like the code snippet below shows.\n *\n * ```js\n * // Define a model which simply adds two inputs.\n * const model1 = tf.sequential();\n * model1.add(tf.layers.dense({inputShape: [4], units: 3, activation: 'relu'}));\n * model1.add(tf.layers.dense({units: 1, activation: 'sigmoid'}));\n * model1.summary();\n * model1.predict(tf.zeros([1, 4])).print();\n *\n * // Construct another model, reusing the second layer of `model1` while\n * // not using the first layer of `model1`. Note that you cannot add the second\n * // layer of `model` directly as the first layer of the new sequential model,\n * // because doing so will lead to an error related to the fact that the layer\n * // is not an input layer. Instead, you need to create an `inputLayer` and add\n * // it to the new sequential model before adding the reused layer.\n * const model2 = tf.sequential();\n * // Use an inputShape that matches the input shape of `model1`'s second\n * // layer.\n * model2.add(tf.layers.inputLayer({inputShape: [3]}));\n * model2.add(model1.layers[1]);\n * model2.summary();\n * model2.predict(tf.zeros([1, 3])).print();\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Inputs', namespace: 'layers'} */\nexport function inputLayer(args: InputLayerArgs): Layer {\n  return new InputLayer(args);\n}\n\n// Advanced Activation Layers.\n\n/**\n * Exponetial Linear Unit (ELU).\n *\n * It follows:\n * `f(x) =  alpha * (exp(x) - 1.) for x < 0`,\n * `f(x) = x for x >= 0`.\n *\n * Input shape:\n *   Arbitrary. Use the configuration `inputShape` when using this layer as the\n *   first layer in a model.\n *\n * Output shape:\n *   Same shape as the input.\n *\n * References:\n *   - [Fast and Accurate Deep Network Learning by Exponential Linear Units\n * (ELUs)](https://arxiv.org/abs/1511.07289v1)\n */\n/**\n * @doc {\n *   heading: 'Layers',\n *   subheading: 'Advanced Activation',\n *   namespace: 'layers'\n * }\n */\nexport function elu(args?: ELULayerArgs): Layer {\n  return new ELU(args);\n}\n\n/**\n * Rectified Linear Unit activation function.\n *\n * Input shape:\n *   Arbitrary. Use the config field `inputShape` (Array of integers, does\n *   not include the sample axis) when using this layer as the first layer\n *   in a model.\n *\n * Output shape:\n *   Same shape as the input.\n */\n/**\n * @doc {\n *   heading: 'Layers',\n *   subheading: 'Advanced Activation',\n *   namespace: 'layers'\n * }\n */\nexport function reLU(args?: ReLULayerArgs): Layer {\n  return new ReLU(args);\n}\n\n/**\n * Leaky version of a rectified linear unit.\n *\n * It allows a small gradient when the unit is not active:\n * `f(x) = alpha * x for x < 0.`\n * `f(x) = x for x >= 0.`\n *\n * Input shape:\n *   Arbitrary. Use the configuration `inputShape` when using this layer as the\n *   first layer in a model.\n *\n * Output shape:\n *   Same shape as the input.\n */\n/**\n * @doc {\n *   heading: 'Layers',\n *   subheading: 'Advanced Activation',\n *   namespace: 'layers'\n * }\n */\nexport function leakyReLU(args?: LeakyReLULayerArgs): Layer {\n  return new LeakyReLU(args);\n}\n\n/**\n * Parameterized version of a leaky rectified linear unit.\n *\n * It follows\n * `f(x) = alpha * x for x < 0.`\n * `f(x) = x for x >= 0.`\n * wherein `alpha` is a trainable weight.\n *\n * Input shape:\n *   Arbitrary. Use the configuration `inputShape` when using this layer as the\n *   first layer in a model.\n *\n * Output shape:\n *   Same shape as the input.\n */\n/**\n * @doc {\n *   heading: 'Layers',\n *   subheading: 'Advanced Activation',\n *   namespace: 'layers'\n * }\n */\nexport function prelu(args?: PReLULayerArgs): Layer {\n  return new PReLU(args);\n}\n\n/**\n * Softmax activation layer.\n *\n * Input shape:\n *   Arbitrary. Use the configuration `inputShape` when using this layer as the\n *   first layer in a model.\n *\n * Output shape:\n *   Same shape as the input.\n */\n/**\n * @doc {\n *   heading: 'Layers',\n *   subheading: 'Advanced Activation',\n *   namespace: 'layers'\n * }\n */\nexport function softmax(args?: SoftmaxLayerArgs): Layer {\n  return new Softmax(args);\n}\n\n/**\n * Thresholded Rectified Linear Unit.\n *\n * It follows:\n * `f(x) = x for x > theta`,\n * `f(x) = 0 otherwise`.\n *\n * Input shape:\n *   Arbitrary. Use the configuration `inputShape` when using this layer as the\n *   first layer in a model.\n *\n * Output shape:\n *   Same shape as the input.\n *\n * References:\n *   - [Zero-Bias Autoencoders and the Benefits of Co-Adapting\n * Features](http://arxiv.org/abs/1402.3337)\n */\n/**\n * @doc {\n *   heading: 'Layers',\n *   subheading: 'Advanced Activation',\n *   namespace: 'layers'\n * }\n */\nexport function thresholdedReLU(args?: ThresholdedReLULayerArgs): Layer {\n  return new ThresholdedReLU(args);\n}\n\n// Convolutional Layers.\n\n/**\n * 1D convolution layer (e.g., temporal convolution).\n *\n * This layer creates a convolution kernel that is convolved\n * with the layer input over a single spatial (or temporal) dimension\n * to produce a tensor of outputs.\n *\n * If `use_bias` is True, a bias vector is created and added to the outputs.\n *\n * If `activation` is not `null`, it is applied to the outputs as well.\n *\n * When using this layer as the first layer in a model, provide an\n * `inputShape` argument `Array` or `null`.\n *\n * For example, `inputShape` would be:\n * - `[10, 128]` for sequences of 10 vectors of 128-dimensional vectors\n * - `[null, 128]` for variable-length sequences of 128-dimensional vectors.\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Convolutional',  namespace: 'layers'}\n */\nexport function conv1d(args: ConvLayerArgs): Layer {\n  return new Conv1D(args);\n}\n\n/**\n * 2D convolution layer (e.g. spatial convolution over images).\n *\n * This layer creates a convolution kernel that is convolved\n * with the layer input to produce a tensor of outputs.\n *\n * If `useBias` is True, a bias vector is created and added to the outputs.\n *\n * If `activation` is not `null`, it is applied to the outputs as well.\n *\n * When using this layer as the first layer in a model,\n * provide the keyword argument `inputShape`\n * (Array of integers, does not include the sample axis),\n * e.g. `inputShape=[128, 128, 3]` for 128x128 RGB pictures\n * in `dataFormat='channelsLast'`.\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Convolutional', namespace: 'layers'}\n */\nexport function conv2d(args: ConvLayerArgs): Layer {\n  return new Conv2D(args);\n}\n\n/**\n * Transposed convolutional layer (sometimes called Deconvolution).\n *\n * The need for transposed convolutions generally arises\n * from the desire to use a transformation going in the opposite direction of\n * a normal convolution, i.e., from something that has the shape of the output\n * of some convolution to something that has the shape of its input while\n * maintaining a connectivity pattern that is compatible with said\n * convolution.\n *\n * When using this layer as the first layer in a model, provide the\n * configuration `inputShape` (`Array` of integers, does not include the\n * sample axis), e.g., `inputShape: [128, 128, 3]` for 128x128 RGB pictures in\n * `dataFormat: 'channelsLast'`.\n *\n * Input shape:\n *   4D tensor with shape:\n *   `[batch, channels, rows, cols]` if `dataFormat` is `'channelsFirst'`.\n *   or 4D tensor with shape\n *   `[batch, rows, cols, channels]` if `dataFormat` is `'channelsLast`.\n *\n * Output shape:\n *   4D tensor with shape:\n *   `[batch, filters, newRows, newCols]` if `dataFormat` is\n * `'channelsFirst'`. or 4D tensor with shape:\n *   `[batch, newRows, newCols, filters]` if `dataFormat` is `'channelsLast'`.\n *\n * References:\n *   - [A guide to convolution arithmetic for deep\n * learning](https://arxiv.org/abs/1603.07285v1)\n *   - [Deconvolutional\n * Networks](http://www.matthewzeiler.com/pubs/cvpr2010/cvpr2010.pdf)\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Convolutional', namespace: 'layers'}\n */\nexport function conv2dTranspose(args: ConvLayerArgs): Layer {\n  return new Conv2DTranspose(args);\n}\n\n/**\n * 3D convolution layer (e.g. spatial convolution over volumes).\n *\n * This layer creates a convolution kernel that is convolved\n * with the layer input to produce a tensor of outputs.\n *\n * If `useBias` is True, a bias vector is created and added to the outputs.\n *\n * If `activation` is not `null`, it is applied to the outputs as well.\n *\n * When using this layer as the first layer in a model,\n * provide the keyword argument `inputShape`\n * (Array of integers, does not include the sample axis),\n * e.g. `inputShape=[128, 128, 128, 1]` for 128x128x128 grayscale volumes\n * in `dataFormat='channelsLast'`.\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Convolutional', namespace: 'layers'}\n */\nexport function conv3d(args: ConvLayerArgs): Layer {\n  return new Conv3D(args);\n}\n\n/**\n * Depthwise separable 2D convolution.\n *\n * Separable convolution consists of first performing\n * a depthwise spatial convolution\n * (which acts on each input channel separately)\n * followed by a pointwise convolution which mixes together the resulting\n * output channels. The `depthMultiplier` argument controls how many\n * output channels are generated per input channel in the depthwise step.\n *\n * Intuitively, separable convolutions can be understood as\n * a way to factorize a convolution kernel into two smaller kernels,\n * or as an extreme version of an Inception block.\n *\n * Input shape:\n *   4D tensor with shape:\n *     `[batch, channels, rows, cols]` if data_format='channelsFirst'\n *   or 4D tensor with shape:\n *     `[batch, rows, cols, channels]` if data_format='channelsLast'.\n *\n * Output shape:\n *   4D tensor with shape:\n *     `[batch, filters, newRows, newCols]` if data_format='channelsFirst'\n *   or 4D tensor with shape:\n *     `[batch, newRows, newCols, filters]` if data_format='channelsLast'.\n *     `rows` and `cols` values might have changed due to padding.\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Convolutional', namespace: 'layers'}\n */\nexport function separableConv2d(args: SeparableConvLayerArgs): Layer {\n  return new SeparableConv2D(args);\n}\n\n/**\n * Cropping layer for 2D input (e.g., image).\n *\n * This layer can crop an input\n * at the top, bottom, left and right side of an image tensor.\n *\n * Input shape:\n *   4D tensor with shape:\n *   - If `dataFormat` is `\"channelsLast\"`:\n *     `[batch, rows, cols, channels]`\n *   - If `data_format` is `\"channels_first\"`:\n *     `[batch, channels, rows, cols]`.\n *\n * Output shape:\n *   4D with shape:\n *   - If `dataFormat` is `\"channelsLast\"`:\n *     `[batch, croppedRows, croppedCols, channels]`\n *    - If `dataFormat` is `\"channelsFirst\"`:\n *     `[batch, channels, croppedRows, croppedCols]`.\n *\n * Examples\n * ```js\n *\n * const model = tf.sequential();\n * model.add(tf.layers.cropping2D({cropping:[[2, 2], [2, 2]],\n *                                inputShape: [128, 128, 3]}));\n * //now output shape is [batch, 124, 124, 3]\n * ```\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Convolutional', namespace: 'layers'}\n */\nexport function cropping2D(args: Cropping2DLayerArgs): Layer {\n  return new Cropping2D(args);\n}\n\n/**\n * Upsampling layer for 2D inputs.\n *\n * Repeats the rows and columns of the data\n * by size[0] and size[1] respectively.\n *\n *\n * Input shape:\n *    4D tensor with shape:\n *     - If `dataFormat` is `\"channelsLast\"`:\n *         `[batch, rows, cols, channels]`\n *     - If `dataFormat` is `\"channelsFirst\"`:\n *        `[batch, channels, rows, cols]`\n *\n * Output shape:\n *     4D tensor with shape:\n *     - If `dataFormat` is `\"channelsLast\"`:\n *        `[batch, upsampledRows, upsampledCols, channels]`\n *     - If `dataFormat` is `\"channelsFirst\"`:\n *         `[batch, channels, upsampledRows, upsampledCols]`\n *\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Convolutional', namespace: 'layers'}\n */\nexport function upSampling2d(args: UpSampling2DLayerArgs): Layer {\n  return new UpSampling2D(args);\n}\n\n// Convolutional(depthwise) Layers.\n\n/**\n * Depthwise separable 2D convolution.\n *\n * Depthwise Separable convolutions consists in performing just the first step\n * in a depthwise spatial convolution (which acts on each input channel\n * separately). The `depthMultplier` argument controls how many output channels\n * are generated per input channel in the depthwise step.\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Convolutional', namespace: 'layers'}\n */\nexport function depthwiseConv2d(args: DepthwiseConv2DLayerArgs): Layer {\n  return new DepthwiseConv2D(args);\n}\n\n// Basic Layers.\n\n/**\n * Applies an activation function to an output.\n *\n * This layer applies element-wise activation function.  Other layers, notably\n * `dense` can also apply activation functions.  Use this isolated activation\n * function to extract the values before and after the\n * activation. For instance:\n *\n * ```js\n * const input = tf.input({shape: [5]});\n * const denseLayer = tf.layers.dense({units: 1});\n * const activationLayer = tf.layers.activation({activation: 'relu6'});\n *\n * // Obtain the output symbolic tensors by applying the layers in order.\n * const denseOutput = denseLayer.apply(input);\n * const activationOutput = activationLayer.apply(denseOutput);\n *\n * // Create the model based on the inputs.\n * const model = tf.model({\n *     inputs: input,\n *     outputs: [denseOutput, activationOutput]\n * });\n *\n * // Collect both outputs and print separately.\n * const [denseOut, activationOut] = model.predict(tf.randomNormal([6, 5]));\n * denseOut.print();\n * activationOut.print();\n * ```\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Basic', namespace: 'layers'}\n */\nexport function activation(args: ActivationLayerArgs): Layer {\n  return new Activation(args);\n}\n\n/**\n * Creates a dense (fully connected) layer.\n *\n * This layer implements the operation:\n *   `output = activation(dot(input, kernel) + bias)`\n *\n * `activation` is the element-wise activation function\n *   passed as the `activation` argument.\n *\n * `kernel` is a weights matrix created by the layer.\n *\n * `bias` is a bias vector created by the layer (only applicable if `useBias`\n * is `true`).\n *\n * **Input shape:**\n *\n *   nD `tf.Tensor` with shape: `(batchSize, ..., inputDim)`.\n *\n *   The most common situation would be\n *   a 2D input with shape `(batchSize, inputDim)`.\n *\n * **Output shape:**\n *\n *   nD tensor with shape: `(batchSize, ..., units)`.\n *\n *   For instance, for a 2D input with shape `(batchSize, inputDim)`,\n *   the output would have shape `(batchSize, units)`.\n *\n * Note: if the input to the layer has a rank greater than 2, then it is\n * flattened prior to the initial dot product with the kernel.\n */\n/** @doc {heading: 'Layers', subheading: 'Basic', namespace: 'layers'} */\nexport function dense(args: DenseLayerArgs): Layer {\n  return new Dense(args);\n}\n\n/**\n * Applies\n * [dropout](http://www.cs.toronto.edu/~rsalakhu/papers/srivastava14a.pdf) to\n * the input.\n *\n * Dropout consists in randomly setting a fraction `rate` of input units to 0 at\n * each update during training time, which helps prevent overfitting.\n */\n/** @doc {heading: 'Layers', subheading: 'Basic', namespace: 'layers'} */\nexport function dropout(args: DropoutLayerArgs): Layer {\n  return new Dropout(args);\n}\n\n/**\n * Spatial 1D version of Dropout.\n *\n * This Layer type performs the same function as the Dropout layer, but it drops\n * entire 1D feature maps instead of individual elements. For example, if an\n * input example consists of 3 timesteps and the feature map for each timestep\n * has a size of 4, a `spatialDropout1d` layer may zero out the feature maps\n * of the 1st timesteps and 2nd timesteps completely while sparing all feature\n * elements of the 3rd timestep.\n *\n * If adjacent frames (timesteps) are strongly correlated (as is normally the\n * case in early convolution layers), regular dropout will not regularize the\n * activation and will otherwise just result in merely an effective learning\n * rate decrease. In this case, `spatialDropout1d` will help promote\n * independence among feature maps and should be used instead.\n *\n * **Arguments:**\n *   rate: A floating-point number >=0 and <=1. Fraction of the input elements\n *     to drop.\n *\n * **Input shape:**\n *   3D tensor with shape `(samples, timesteps, channels)`.\n *\n * **Output shape:**\n *   Same as the input shape.\n *\n * References:\n *   - [Efficient Object Localization Using Convolutional\n *      Networks](https://arxiv.org/abs/1411.4280)\n */\n/** @doc {heading: 'Layers', subheading: 'Basic', namespace: 'layers'} */\nexport function spatialDropout1d(args: SpatialDropout1DLayerConfig): Layer {\n  return new SpatialDropout1D(args);\n}\n\n/**\n * Flattens the input. Does not affect the batch size.\n *\n * A `Flatten` layer flattens each batch in its inputs to 1D (making the output\n * 2D).\n *\n * For example:\n *\n * ```js\n * const input = tf.input({shape: [4, 3]});\n * const flattenLayer = tf.layers.flatten();\n * // Inspect the inferred output shape of the flatten layer, which\n * // equals `[null, 12]`. The 2nd dimension is 4 * 3, i.e., the result of the\n * // flattening. (The 1st dimension is the undermined batch size.)\n * console.log(JSON.stringify(flattenLayer.apply(input).shape));\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Basic', namespace: 'layers'} */\nexport function flatten(args?: FlattenLayerArgs): Layer {\n  return new Flatten(args);\n}\n\n/**\n * Repeats the input n times in a new dimension.\n *\n * ```js\n *  const model = tf.sequential();\n *  model.add(tf.layers.repeatVector({n: 4, inputShape: [2]}));\n *  const x = tf.tensor2d([[10, 20]]);\n *  // Use the model to do inference on a data point the model hasn't see\n *  model.predict(x).print();\n *  // output shape is now [batch, 2, 4]\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Basic', namespace: 'layers'} */\nexport function repeatVector(args: RepeatVectorLayerArgs): Layer {\n  return new RepeatVector(args);\n}\n\n/**\n * Reshapes an input to a certain shape.\n *\n * ```js\n * const input = tf.input({shape: [4, 3]});\n * const reshapeLayer = tf.layers.reshape({targetShape: [2, 6]});\n * // Inspect the inferred output shape of the Reshape layer, which\n * // equals `[null, 2, 6]`. (The 1st dimension is the undermined batch size.)\n * console.log(JSON.stringify(reshapeLayer.apply(input).shape));\n * ```\n *\n * Input shape:\n *   Arbitrary, although all dimensions in the input shape must be fixed.\n *   Use the configuration `inputShape` when using this layer as the\n *   first layer in a model.\n *\n *\n * Output shape:\n *   [batchSize, targetShape[0], targetShape[1], ...,\n *    targetShape[targetShape.length - 1]].\n */\n/** @doc {heading: 'Layers', subheading: 'Basic', namespace: 'layers'} */\nexport function reshape(args: ReshapeLayerArgs): Layer {\n  return new Reshape(args);\n}\n\n/**\n * Permutes the dimensions of the input according to a given pattern.\n *\n * Useful for, e.g., connecting RNNs and convnets together.\n *\n * Example:\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.permute({\n *   dims: [2, 1],\n *   inputShape: [10, 64]\n * }));\n * console.log(model.outputShape);\n * // Now model's output shape is [null, 64, 10], where null is the\n * // unpermuted sample (batch) dimension.\n * ```\n *\n * Input shape:\n *   Arbitrary. Use the configuration field `inputShape` when using this\n *   layer as the first layer in a model.\n *\n * Output shape:\n *   Same rank as the input shape, but with the dimensions re-ordered (i.e.,\n *   permuted) according to the `dims` configuration of this layer.\n */\n/** @doc {heading: 'Layers', subheading: 'Basic', namespace: 'layers'} */\nexport function permute(args: PermuteLayerArgs): Layer {\n  return new Permute(args);\n}\n\n/**\n * Maps positive integers (indices) into dense vectors of fixed size.\n * eg. [[4], [20]] -> [[0.25, 0.1], [0.6, -0.2]]\n *\n * **Input shape:** 2D tensor with shape: `[batchSize, sequenceLength]`.\n *\n * **Output shape:** 3D tensor with shape: `[batchSize, sequenceLength,\n * outputDim]`.\n */\n/** @doc {heading: 'Layers', subheading: 'Basic', namespace: 'layers'} */\nexport function embedding(args: EmbeddingLayerArgs): Layer {\n  return new Embedding(args);\n}\n\n// Merge Layers.\n\n/**\n * Layer that performs element-wise addition on an `Array` of inputs.\n *\n * It takes as input a list of tensors, all of the same shape, and returns a\n * single tensor (also of the same shape). The inputs are specified as an\n * `Array` when the `apply` method of the `Add` layer instance is called. For\n * example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const addLayer = tf.layers.add();\n * const sum = addLayer.apply([input1, input2]);\n * console.log(JSON.stringify(sum.shape));\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Merge', namespace: 'layers'} */\nexport function add(args?: LayerArgs): Layer {\n  return new Add(args);\n}\n\n/**\n * Layer that performs element-wise averaging on an `Array` of inputs.\n *\n * It takes as input a list of tensors, all of the same shape, and returns a\n * single tensor (also of the same shape). For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const averageLayer = tf.layers.average();\n * const average = averageLayer.apply([input1, input2]);\n * console.log(JSON.stringify(average.shape));\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Merge', namespace: 'layers'} */\nexport function average(args?: LayerArgs): Layer {\n  return new Average(args);\n}\n\n/**\n * Layer that concatenates an `Array` of inputs.\n *\n * It takes a list of tensors, all of the same shape except for the\n * concatenation axis, and returns a single tensor, the concatenation\n * of all inputs. For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 3]});\n * const concatLayer = tf.layers.concatenate();\n * const output = concatLayer.apply([input1, input2]);\n * console.log(JSON.stringify(output.shape));\n * // You get [null, 2, 5], with the first dimension as the undetermined batch\n * // dimension. The last dimension (5) is the result of concatenating the\n * // last dimensions of the inputs (2 and 3).\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Merge', namespace: 'layers'} */\nexport function concatenate(args?: ConcatenateLayerArgs): Layer {\n  return new Concatenate(args);\n}\n\n/**\n * Layer that computes the element-wise maximum an `Array` of inputs.\n *\n * It takes as input a list of tensors, all of the same shape and returns a\n * single tensor (also of the same shape). For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const maxLayer = tf.layers.maximum();\n * const max = maxLayer.apply([input1, input2]);\n * console.log(JSON.stringify(max.shape));\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Merge', namespace: 'layers'} */\nexport function maximum(args?: LayerArgs): Layer {\n  return new Maximum(args);\n}\n\n/**\n * Layer that computes the element-wise minimum of an `Array` of inputs.\n *\n * It takes as input a list of tensors, all of the same shape and returns a\n * single tensor (also of the same shape). For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const minLayer = tf.layers.minimum();\n * const min = minLayer.apply([input1, input2]);\n * console.log(JSON.stringify(min.shape));\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Merge', namespace: 'layers'} */\nexport function minimum(args?: LayerArgs): Layer {\n  return new Minimum(args);\n}\n\n/**\n * Layer that multiplies (element-wise) an `Array` of inputs.\n *\n * It takes as input an Array of tensors, all of the same\n * shape, and returns a single tensor (also of the same shape).\n * For example:\n *\n * ```js\n * const input1 = tf.input({shape: [2, 2]});\n * const input2 = tf.input({shape: [2, 2]});\n * const input3 = tf.input({shape: [2, 2]});\n * const multiplyLayer = tf.layers.multiply();\n * const product = multiplyLayer.apply([input1, input2, input3]);\n * console.log(product.shape);\n * // You get [null, 2, 2], with the first dimension as the undetermined batch\n * // dimension.\n */\n/** @doc {heading: 'Layers', subheading: 'Merge', namespace: 'layers'} */\nexport function multiply(args?: LayerArgs): Layer {\n  return new Multiply(args);\n}\n\n/**\n * Layer that computes a dot product between samples in two tensors.\n *\n * E.g., if applied to a list of two tensors `a` and `b` both of shape\n * `[batchSize, n]`, the output will be a tensor of shape `[batchSize, 1]`,\n * where each entry at index `[i, 0]` will be the dot product between\n * `a[i, :]` and `b[i, :]`.\n *\n * Example:\n *\n * ```js\n * const dotLayer = tf.layers.dot({axes: -1});\n * const x1 = tf.tensor2d([[10, 20], [30, 40]]);\n * const x2 = tf.tensor2d([[-1, -2], [-3, -4]]);\n *\n * // Invoke the layer's apply() method in eager (imperative) mode.\n * const y = dotLayer.apply([x1, x2]);\n * y.print();\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Merge', namespace: 'layers'} */\nexport function dot(args: DotLayerArgs): Layer {\n  return new Dot(args);\n}\n\n// Normalization Layers.\n\n/**\n * Batch normalization layer (Ioffe and Szegedy, 2014).\n *\n * Normalize the activations of the previous layer at each batch,\n * i.e. applies a transformation that maintains the mean activation\n * close to 0 and the activation standard deviation close to 1.\n *\n * Input shape:\n *   Arbitrary. Use the keyword argument `inputShape` (Array of integers, does\n *   not include the sample axis) when calling the constructor of this class,\n *   if this layer is used as a first layer in a model.\n *\n * Output shape:\n *   Same shape as input.\n *\n * References:\n *   - [Batch Normalization: Accelerating Deep Network Training by Reducing\n * Internal Covariate Shift](https://arxiv.org/abs/1502.03167)\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Normalization', namespace: 'layers'}\n */\nexport function batchNormalization(args?: BatchNormalizationLayerArgs): Layer {\n  return new BatchNormalization(args);\n}\n\n/**\n * Layer-normalization layer (Ba et al., 2016).\n *\n * Normalizes the activations of the previous layer for each given example in a\n * batch independently, instead of across a batch like in `batchNormalization`.\n * In other words, this layer applies a transformation that maintanis the mean\n * activation within each example close to0 and activation variance close to 1.\n *\n * Input shape:\n *   Arbitrary. Use the argument `inputShape` when using this layer as the first\n *   layer in a model.\n *\n * Output shape:\n *   Same as input.\n *\n * References:\n *   - [Layer Normalization](https://arxiv.org/abs/1607.06450)\n */\n/**\n * @doc {heading: 'Layers', subheading: 'Normalization', namespace: 'layers'}\n */\nexport function layerNormalization(args?: LayerNormalizationLayerArgs): Layer {\n  return new LayerNormalization(args);\n}\n\n// Padding Layers.\n\n/**\n * Zero-padding layer for 2D input (e.g., image).\n *\n * This layer can add rows and columns of zeros\n * at the top, bottom, left and right side of an image tensor.\n *\n * Input shape:\n *   4D tensor with shape:\n *   - If `dataFormat` is `\"channelsLast\"`:\n *     `[batch, rows, cols, channels]`\n *   - If `data_format` is `\"channels_first\"`:\n *     `[batch, channels, rows, cols]`.\n *\n * Output shape:\n *   4D with shape:\n *   - If `dataFormat` is `\"channelsLast\"`:\n *     `[batch, paddedRows, paddedCols, channels]`\n *    - If `dataFormat` is `\"channelsFirst\"`:\n *     `[batch, channels, paddedRows, paddedCols]`.\n */\n/** @doc {heading: 'Layers', subheading: 'Padding', namespace: 'layers'} */\nexport function zeroPadding2d(args?: ZeroPadding2DLayerArgs): Layer {\n  return new ZeroPadding2D(args);\n}\n\n// Pooling Layers.\n\n/**\n * Average pooling operation for spatial data.\n *\n * Input shape: `[batchSize, inLength, channels]`\n *\n * Output shape: `[batchSize, pooledLength, channels]`\n *\n * `tf.avgPool1d` is an alias.\n */\n/** @doc {heading: 'Layers', subheading: 'Pooling', namespace: 'layers'} */\nexport function averagePooling1d(args: Pooling1DLayerArgs): Layer {\n  return new AveragePooling1D(args);\n}\nexport function avgPool1d(args: Pooling1DLayerArgs): Layer {\n  return averagePooling1d(args);\n}\n// For backwards compatibility.\n// See https://github.com/tensorflow/tfjs/issues/152\nexport function avgPooling1d(args: Pooling1DLayerArgs): Layer {\n  return averagePooling1d(args);\n}\n\n/**\n * Average pooling operation for spatial data.\n *\n * Input shape:\n *  - If `dataFormat === CHANNEL_LAST`:\n *      4D tensor with shape:\n *      `[batchSize, rows, cols, channels]`\n *  - If `dataFormat === CHANNEL_FIRST`:\n *      4D tensor with shape:\n *      `[batchSize, channels, rows, cols]`\n *\n * Output shape\n *  - If `dataFormat === CHANNEL_LAST`:\n *      4D tensor with shape:\n *      `[batchSize, pooleRows, pooledCols, channels]`\n *  - If `dataFormat === CHANNEL_FIRST`:\n *      4D tensor with shape:\n *      `[batchSize, channels, pooleRows, pooledCols]`\n *\n * `tf.avgPool2d` is an alias.\n */\n/** @doc {heading: 'Layers', subheading: 'Pooling', namespace: 'layers'} */\nexport function averagePooling2d(args: Pooling2DLayerArgs): Layer {\n  return new AveragePooling2D(args);\n}\nexport function avgPool2d(args: Pooling2DLayerArgs): Layer {\n  return averagePooling2d(args);\n}\n// For backwards compatibility.\n// See https://github.com/tensorflow/tfjs/issues/152\nexport function avgPooling2d(args: Pooling2DLayerArgs): Layer {\n  return averagePooling2d(args);\n}\n\n/**\n * Average pooling operation for 3D data.\n *\n * Input shape\n *   - If `dataFormat === channelsLast`:\n *       5D tensor with shape:\n *       `[batchSize, depths, rows, cols, channels]`\n *   - If `dataFormat === channelsFirst`:\n *      4D tensor with shape:\n *       `[batchSize, channels, depths, rows, cols]`\n *\n * Output shape\n *   - If `dataFormat=channelsLast`:\n *       5D tensor with shape:\n *       `[batchSize, pooledDepths, pooledRows, pooledCols, channels]`\n *   - If `dataFormat=channelsFirst`:\n *       5D tensor with shape:\n *       `[batchSize, channels, pooledDepths, pooledRows, pooledCols]`\n */\n/** @doc {heading: 'Layers', subheading: 'Pooling', namespace: 'layers'} */\nexport function averagePooling3d(args: Pooling3DLayerArgs): Layer {\n  return new AveragePooling3D(args);\n}\nexport function avgPool3d(args: Pooling3DLayerArgs): Layer {\n  return averagePooling3d(args);\n}\n// For backwards compatibility.\n// See https://github.com/tensorflow/tfjs/issues/152\nexport function avgPooling3d(args: Pooling3DLayerArgs): Layer {\n  return averagePooling3d(args);\n}\n\n/**\n * Global average pooling operation for temporal data.\n *\n * Input Shape: 3D tensor with shape: `[batchSize, steps, features]`.\n *\n * Output Shape:2D tensor with shape: `[batchSize, features]`.\n */\n/** @doc {heading: 'Layers', subheading: 'Pooling', namespace: 'layers'} */\nexport function globalAveragePooling1d(args?: LayerArgs): Layer {\n  return new GlobalAveragePooling1D(args);\n}\n\n/**\n * Global average pooling operation for spatial data.\n *\n * Input shape:\n *   - If `dataFormat` is `CHANNEL_LAST`:\n *       4D tensor with shape: `[batchSize, rows, cols, channels]`.\n *   - If `dataFormat` is `CHANNEL_FIRST`:\n *       4D tensor with shape: `[batchSize, channels, rows, cols]`.\n *\n * Output shape:\n *   2D tensor with shape: `[batchSize, channels]`.\n */\n/** @doc {heading: 'Layers', subheading: 'Pooling', namespace: 'layers'} */\nexport function globalAveragePooling2d(args: GlobalPooling2DLayerArgs): Layer {\n  return new GlobalAveragePooling2D(args);\n}\n\n/**\n * Global max pooling operation for temporal data.\n *\n * Input Shape: 3D tensor with shape: `[batchSize, steps, features]`.\n *\n * Output Shape:2D tensor with shape: `[batchSize, features]`.\n */\n/** @doc {heading: 'Layers', subheading: 'Pooling', namespace: 'layers'} */\nexport function globalMaxPooling1d(args?: LayerArgs): Layer {\n  return new GlobalMaxPooling1D(args);\n}\n\n/**\n * Global max pooling operation for spatial data.\n *\n * Input shape:\n *   - If `dataFormat` is `CHANNEL_LAST`:\n *       4D tensor with shape: `[batchSize, rows, cols, channels]`.\n *   - If `dataFormat` is `CHANNEL_FIRST`:\n *       4D tensor with shape: `[batchSize, channels, rows, cols]`.\n *\n * Output shape:\n *   2D tensor with shape: `[batchSize, channels]`.\n */\n/** @doc {heading: 'Layers', subheading: 'Pooling', namespace: 'layers'} */\nexport function globalMaxPooling2d(args: GlobalPooling2DLayerArgs): Layer {\n  return new GlobalMaxPooling2D(args);\n}\n\n/**\n * Max pooling operation for temporal data.\n *\n * Input shape:  `[batchSize, inLength, channels]`\n *\n * Output shape: `[batchSize, pooledLength, channels]`\n */\n/** @doc {heading: 'Layers', subheading: 'Pooling', namespace: 'layers'} */\nexport function maxPooling1d(args: Pooling1DLayerArgs): Layer {\n  return new MaxPooling1D(args);\n}\n\n/**\n * Max pooling operation for spatial data.\n *\n * Input shape\n *   - If `dataFormat === CHANNEL_LAST`:\n *       4D tensor with shape:\n *       `[batchSize, rows, cols, channels]`\n *   - If `dataFormat === CHANNEL_FIRST`:\n *      4D tensor with shape:\n *       `[batchSize, channels, rows, cols]`\n *\n * Output shape\n *   - If `dataFormat=CHANNEL_LAST`:\n *       4D tensor with shape:\n *       `[batchSize, pooleRows, pooledCols, channels]`\n *   - If `dataFormat=CHANNEL_FIRST`:\n *       4D tensor with shape:\n *       `[batchSize, channels, pooleRows, pooledCols]`\n */\n/** @doc {heading: 'Layers', subheading: 'Pooling', namespace: 'layers'} */\nexport function maxPooling2d(args: Pooling2DLayerArgs): Layer {\n  return new MaxPooling2D(args);\n}\n\n/**\n * Max pooling operation for 3D data.\n *\n * Input shape\n *   - If `dataFormat === channelsLast`:\n *       5D tensor with shape:\n *       `[batchSize, depths, rows, cols, channels]`\n *   - If `dataFormat === channelsFirst`:\n *      5D tensor with shape:\n *       `[batchSize, channels, depths, rows, cols]`\n *\n * Output shape\n *   - If `dataFormat=channelsLast`:\n *       5D tensor with shape:\n *       `[batchSize, pooledDepths, pooledRows, pooledCols, channels]`\n *   - If `dataFormat=channelsFirst`:\n *       5D tensor with shape:\n *       `[batchSize, channels, pooledDepths, pooledRows, pooledCols]`\n */\n/** @doc {heading: 'Layers', subheading: 'Pooling', namespace: 'layers'} */\nexport function maxPooling3d(args: Pooling3DLayerArgs): Layer {\n  return new MaxPooling3D(args);\n}\n\n// Recurrent Layers.\n\n/**\n * Gated Recurrent Unit - Cho et al. 2014.\n *\n * This is an `RNN` layer consisting of one `GRUCell`. However, unlike\n * the underlying `GRUCell`, the `apply` method of `SimpleRNN` operates\n * on a sequence of inputs. The shape of the input (not including the first,\n * batch dimension) needs to be at least 2-D, with the first dimension being\n * time steps. For example:\n *\n * ```js\n * const rnn = tf.layers.gru({units: 8, returnSequences: true});\n *\n * // Create an input with 10 time steps.\n * const input = tf.input({shape: [10, 20]});\n * const output = rnn.apply(input);\n *\n * console.log(JSON.stringify(output.shape));\n * // [null, 10, 8]: 1st dimension is unknown batch size; 2nd dimension is the\n * // same as the sequence length of `input`, due to `returnSequences`: `true`;\n * // 3rd dimension is the `GRUCell`'s number of units.\n */\n/** @doc {heading: 'Layers', subheading: 'Recurrent', namespace: 'layers'} */\nexport function gru(args: GRULayerArgs): Layer {\n  return new GRU(args);\n}\n\n/**\n * Cell class for `GRU`.\n *\n * `GRUCell` is distinct from the `RNN` subclass `GRU` in that its\n * `apply` method takes the input data of only a single time step and returns\n * the cell's output at the time step, while `GRU` takes the input data\n * over a number of time steps. For example:\n *\n * ```js\n * const cell = tf.layers.gruCell({units: 2});\n * const input = tf.input({shape: [10]});\n * const output = cell.apply(input);\n *\n * console.log(JSON.stringify(output.shape));\n * // [null, 10]: This is the cell's output at a single time step. The 1st\n * // dimension is the unknown batch size.\n * ```\n *\n * Instance(s) of `GRUCell` can be used to construct `RNN` layers. The\n * most typical use of this workflow is to combine a number of cells into a\n * stacked RNN cell (i.e., `StackedRNNCell` internally) and use it to create an\n * RNN. For example:\n *\n * ```js\n * const cells = [\n *   tf.layers.gruCell({units: 4}),\n *   tf.layers.gruCell({units: 8}),\n * ];\n * const rnn = tf.layers.rnn({cell: cells, returnSequences: true});\n *\n * // Create an input with 10 time steps and a length-20 vector at each step.\n * const input = tf.input({shape: [10, 20]});\n * const output = rnn.apply(input);\n *\n * console.log(JSON.stringify(output.shape));\n * // [null, 10, 8]: 1st dimension is unknown batch size; 2nd dimension is the\n * // same as the sequence length of `input`, due to `returnSequences`: `true`;\n * // 3rd dimension is the last `gruCell`'s number of units.\n * ```\n *\n * To create an `RNN` consisting of only *one* `GRUCell`, use the\n * `tf.layers.gru`.\n */\n/** @doc {heading: 'Layers', subheading: 'Recurrent', namespace: 'layers'} */\nexport function gruCell(args: GRUCellLayerArgs): RNNCell {\n  return new GRUCell(args);\n}\n\n/**\n * Long-Short Term Memory layer - Hochreiter 1997.\n *\n * This is an `RNN` layer consisting of one `LSTMCell`. However, unlike\n * the underlying `LSTMCell`, the `apply` method of `LSTM` operates\n * on a sequence of inputs. The shape of the input (not including the first,\n * batch dimension) needs to be at least 2-D, with the first dimension being\n * time steps. For example:\n *\n * ```js\n * const lstm = tf.layers.lstm({units: 8, returnSequences: true});\n *\n * // Create an input with 10 time steps.\n * const input = tf.input({shape: [10, 20]});\n * const output = lstm.apply(input);\n *\n * console.log(JSON.stringify(output.shape));\n * // [null, 10, 8]: 1st dimension is unknown batch size; 2nd dimension is the\n * // same as the sequence length of `input`, due to `returnSequences`: `true`;\n * // 3rd dimension is the `LSTMCell`'s number of units.\n */\n/** @doc {heading: 'Layers', subheading: 'Recurrent', namespace: 'layers'} */\nexport function lstm(args: LSTMLayerArgs): Layer {\n  return new LSTM(args);\n}\n\n/**\n * Cell class for `LSTM`.\n *\n * `LSTMCell` is distinct from the `RNN` subclass `LSTM` in that its\n * `apply` method takes the input data of only a single time step and returns\n * the cell's output at the time step, while `LSTM` takes the input data\n * over a number of time steps. For example:\n *\n * ```js\n * const cell = tf.layers.lstmCell({units: 2});\n * const input = tf.input({shape: [10]});\n * const output = cell.apply(input);\n *\n * console.log(JSON.stringify(output.shape));\n * // [null, 10]: This is the cell's output at a single time step. The 1st\n * // dimension is the unknown batch size.\n * ```\n *\n * Instance(s) of `LSTMCell` can be used to construct `RNN` layers. The\n * most typical use of this workflow is to combine a number of cells into a\n * stacked RNN cell (i.e., `StackedRNNCell` internally) and use it to create an\n * RNN. For example:\n *\n * ```js\n * const cells = [\n *   tf.layers.lstmCell({units: 4}),\n *   tf.layers.lstmCell({units: 8}),\n * ];\n * const rnn = tf.layers.rnn({cell: cells, returnSequences: true});\n *\n * // Create an input with 10 time steps and a length-20 vector at each step.\n * const input = tf.input({shape: [10, 20]});\n * const output = rnn.apply(input);\n *\n * console.log(JSON.stringify(output.shape));\n * // [null, 10, 8]: 1st dimension is unknown batch size; 2nd dimension is the\n * // same as the sequence length of `input`, due to `returnSequences`: `true`;\n * // 3rd dimension is the last `lstmCell`'s number of units.\n * ```\n *\n * To create an `RNN` consisting of only *one* `LSTMCell`, use the\n * `tf.layers.lstm`.\n */\n/** @doc {heading: 'Layers', subheading: 'Recurrent', namespace: 'layers'} */\nexport function lstmCell(args: LSTMCellLayerArgs): RNNCell {\n  return new LSTMCell(args);\n}\n\n/**\n * Fully-connected RNN where the output is to be fed back to input.\n *\n * This is an `RNN` layer consisting of one `SimpleRNNCell`. However, unlike\n * the underlying `SimpleRNNCell`, the `apply` method of `SimpleRNN` operates\n * on a sequence of inputs. The shape of the input (not including the first,\n * batch dimension) needs to be at least 2-D, with the first dimension being\n * time steps. For example:\n *\n * ```js\n * const rnn = tf.layers.simpleRNN({units: 8, returnSequences: true});\n *\n * // Create an input with 10 time steps.\n * const input = tf.input({shape: [10, 20]});\n * const output = rnn.apply(input);\n *\n * console.log(JSON.stringify(output.shape));\n * // [null, 10, 8]: 1st dimension is unknown batch size; 2nd dimension is the\n * // same as the sequence length of `input`, due to `returnSequences`: `true`;\n * // 3rd dimension is the `SimpleRNNCell`'s number of units.\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Recurrent', namespace: 'layers'} */\nexport function simpleRNN(args: SimpleRNNLayerArgs): Layer {\n  return new SimpleRNN(args);\n}\n\n/**\n * Cell class for `SimpleRNN`.\n *\n * `SimpleRNNCell` is distinct from the `RNN` subclass `SimpleRNN` in that its\n * `apply` method takes the input data of only a single time step and returns\n * the cell's output at the time step, while `SimpleRNN` takes the input data\n * over a number of time steps. For example:\n *\n * ```js\n * const cell = tf.layers.simpleRNNCell({units: 2});\n * const input = tf.input({shape: [10]});\n * const output = cell.apply(input);\n *\n * console.log(JSON.stringify(output.shape));\n * // [null, 10]: This is the cell's output at a single time step. The 1st\n * // dimension is the unknown batch size.\n * ```\n *\n * Instance(s) of `SimpleRNNCell` can be used to construct `RNN` layers. The\n * most typical use of this workflow is to combine a number of cells into a\n * stacked RNN cell (i.e., `StackedRNNCell` internally) and use it to create an\n * RNN. For example:\n *\n * ```js\n * const cells = [\n *   tf.layers.simpleRNNCell({units: 4}),\n *   tf.layers.simpleRNNCell({units: 8}),\n * ];\n * const rnn = tf.layers.rnn({cell: cells, returnSequences: true});\n *\n * // Create an input with 10 time steps and a length-20 vector at each step.\n * const input = tf.input({shape: [10, 20]});\n * const output = rnn.apply(input);\n *\n * console.log(JSON.stringify(output.shape));\n * // [null, 10, 8]: 1st dimension is unknown batch size; 2nd dimension is the\n * // same as the sequence length of `input`, due to `returnSequences`: `true`;\n * // 3rd dimension is the last `SimpleRNNCell`'s number of units.\n * ```\n *\n * To create an `RNN` consisting of only *one* `SimpleRNNCell`, use the\n * `tf.layers.simpleRNN`.\n */\n/** @doc {heading: 'Layers', subheading: 'Recurrent', namespace: 'layers'} */\nexport function simpleRNNCell(args: SimpleRNNCellLayerArgs): RNNCell {\n  return new SimpleRNNCell(args);\n}\n\n/**\n * Base class for recurrent layers.\n *\n * Input shape:\n *   3D tensor with shape `[batchSize, timeSteps, inputDim]`.\n *\n * Output shape:\n *   - if `returnState`, an Array of tensors (i.e., `tf.Tensor`s). The first\n *     tensor is the output. The remaining tensors are the states at the\n *     last time step, each with shape `[batchSize, units]`.\n *   - if `returnSequences`, the output will have shape\n *     `[batchSize, timeSteps, units]`.\n *   - else, the output will have shape `[batchSize, units]`.\n *\n * Masking:\n *   This layer supports masking for input data with a variable number\n *   of timesteps. To introduce masks to your data,\n *   use an embedding layer with the `mask_zero` parameter\n *   set to `True`.\n *\n * Notes on using statefulness in RNNs:\n *   You can set RNN layers to be 'stateful', which means that the states\n *   computed for the samples in one batch will be reused as initial states\n *   for the samples in the next batch. This assumes a one-to-one mapping\n *   between samples in different successive batches.\n *\n *   To enable statefulness:\n *     - specify `stateful: true` in the layer constructor.\n *     - specify a fixed batch size for your model, by passing\n *       if sequential model:\n *         `batchInputShape=[...]` to the first layer in your model.\n *       else for functional model with 1 or more Input layers:\n *         `batchShape=[...]` to all the first layers in your model.\n *       This is the expected shape of your inputs *including the batch size*.\n *       It should be a tuple of integers, e.g. `(32, 10, 100)`.\n *     - specify `shuffle=False` when calling fit().\n *\n *   To reset the states of your model, call `.resetStates()` on either\n *   a specific layer, or on your entire model.\n *\n * Note on specifying the initial state of RNNs\n *   You can specify the initial state of RNN layers symbolically by\n *   calling them with the option `initialState`. The value of\n *   `initialState` should be a tensor or list of tensors representing\n *   the initial state of the RNN layer.\n *\n *   You can specify the initial state of RNN layers numerically by\n *   calling `resetStates` with the keyword argument `states`. The value of\n *   `states` should be a numpy array or list of numpy arrays representing\n *   the initial state of the RNN layer.\n *\n * Note on passing external constants to RNNs\n *   You can pass \"external\" constants to the cell using the `constants`\n *   keyword argument of `RNN.call` method. This requires that the `cell.call`\n *   method accepts the same keyword argument `constants`. Such constants\n *   can be used to conditon the cell transformation on additional static inputs\n *   (not changing over time), a.k.a an attention mechanism.\n */\n/** @doc {heading: 'Layers', subheading: 'Recurrent', namespace: 'layers'} */\nexport function rnn(args: RNNLayerArgs): Layer {\n  return new RNN(args);\n}\n\n/**\n * Wrapper allowing a stack of RNN cells to behave as a single cell.\n *\n * Used to implement efficient stacked RNNs.\n */\n/** @doc {heading: 'Layers', subheading: 'Recurrent', namespace: 'layers'} */\nexport function stackedRNNCells(args: StackedRNNCellsArgs): RNNCell {\n  return new StackedRNNCells(args);\n}\n\n// Wrapper Layers.\n\n/** @doc {heading: 'Layers', subheading: 'Wrapper', namespace: 'layers'} */\nexport function bidirectional(args: BidirectionalLayerArgs): Bidirectional {\n  return new Bidirectional(args);\n}\n\n/**\n * This wrapper applies a layer to every temporal slice of an input.\n *\n * The input should be at least 3D,  and the dimension of the index `1` will be\n * considered to be the temporal dimension.\n *\n * Consider a batch of 32 samples, where each sample is a sequence of 10 vectors\n * of 16 dimensions. The batch input shape of the layer is then `[32,  10,\n * 16]`, and the `inputShape`, not including the sample dimension, is\n * `[10, 16]`.\n *\n * You can then use `TimeDistributed` to apply a `Dense` layer to each of the 10\n * timesteps, independently:\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.timeDistributed({\n *   layer: tf.layers.dense({units: 8}),\n *   inputShape: [10, 16],\n * }));\n *\n * // Now model.outputShape = [null, 10, 8].\n * // The output will then have shape `[32, 10, 8]`.\n *\n * // In subsequent layers, there is no need for `inputShape`:\n * model.add(tf.layers.timeDistributed({layer: tf.layers.dense({units: 32})}));\n * console.log(JSON.stringify(model.outputs[0].shape));\n * // Now model.outputShape = [null, 10, 32].\n * ```\n *\n * The output will then have shape `[32, 10, 32]`.\n *\n * `TimeDistributed` can be used with arbitrary layers, not just `Dense`, for\n * instance a `Conv2D` layer.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.timeDistributed({\n *   layer: tf.layers.conv2d({filters: 64, kernelSize: [3, 3]}),\n *   inputShape: [10, 299, 299, 3],\n * }));\n * console.log(JSON.stringify(model.outputs[0].shape));\n * ```\n */\n/** @doc {heading: 'Layers', subheading: 'Wrapper', namespace: 'layers'} */\nexport function timeDistributed(args: WrapperLayerArgs): Layer {\n  return new TimeDistributed(args);\n}\n\n// Aliases for pooling.\nexport const globalMaxPool1d = globalMaxPooling1d;\nexport const globalMaxPool2d = globalMaxPooling2d;\nexport const maxPool1d = maxPooling1d;\nexport const maxPool2d = maxPooling2d;\n\nexport {Layer, RNN, RNNCell, input /* alias for tf.input */};\n\n/**\n * Apply additive zero-centered Gaussian noise.\n *\n * As it is a regularization layer, it is only active at training time.\n *\n * This is useful to mitigate overfitting\n * (you could see it as a form of random data augmentation).\n * Gaussian Noise (GS) is a natural choice as corruption process\n * for real valued inputs.\n *\n * # Arguments\n *     stddev: float, standard deviation of the noise distribution.\n *\n * # Input shape\n *         Arbitrary. Use the keyword argument `input_shape`\n *         (tuple of integers, does not include the samples axis)\n *         when using this layer as the first layer in a model.\n *\n * # Output shape\n *         Same shape as input.\n */\n/** @doc {heading: 'Layers', subheading: 'Noise', namespace: 'layers'} */\nexport function gaussianNoise(args: GaussianNoiseArgs): GaussianNoise {\n  return new GaussianNoise(args);\n}\n\n/**\n * Apply multiplicative 1-centered Gaussian noise.\n *\n * As it is a regularization layer, it is only active at training time.\n *\n * Arguments:\n *   - `rate`: float, drop probability (as with `Dropout`).\n *     The multiplicative noise will have\n *     standard deviation `sqrt(rate / (1 - rate))`.\n *\n * Input shape:\n *   Arbitrary. Use the keyword argument `inputShape`\n *   (tuple of integers, does not include the samples axis)\n *   when using this layer as the first layer in a model.\n *\n * Output shape:\n *   Same shape as input.\n *\n * References:\n *   - [Dropout: A Simple Way to Prevent Neural Networks from Overfitting](\n *      http://www.cs.toronto.edu/~rsalakhu/papers/srivastava14a.pdf)\n *\n */\n/** @doc {heading: 'Layers', subheading: 'Noise', namespace: 'layers'} */\nexport function gaussianDropout(args: GaussianDropoutArgs): GaussianDropout {\n  return new GaussianDropout(args);\n}\n\n/**\n * Applies Alpha Dropout to the input.\n *\n * As it is a regularization layer, it is only active at training time.\n *\n * Alpha Dropout is a `Dropout` that keeps mean and variance of inputs\n * to their original values, in order to ensure the self-normalizing property\n * even after this dropout.\n * Alpha Dropout fits well to Scaled Exponential Linear Units\n * by randomly setting activations to the negative saturation value.\n *\n * Arguments:\n *   - `rate`: float, drop probability (as with `Dropout`).\n *     The multiplicative noise will have\n *     standard deviation `sqrt(rate / (1 - rate))`.\n *   - `noise_shape`: A 1-D `Tensor` of type `int32`, representing the\n *     shape for randomly generated keep/drop flags.\n *\n * Input shape:\n *   Arbitrary. Use the keyword argument `inputShape`\n *   (tuple of integers, does not include the samples axis)\n *   when using this layer as the first layer in a model.\n *\n * Output shape:\n *   Same shape as input.\n *\n * References:\n *   - [Self-Normalizing Neural Networks](https://arxiv.org/abs/1706.02515)\n */\n/** @doc {heading: 'Layers', subheading: 'Noise', namespace: 'layers'} */\nexport function alphaDropout(args: AlphaDropoutArgs): AlphaDropout {\n  return new AlphaDropout(args);\n}\n\n/**\n * Masks a sequence by using a mask value to skip timesteps.\n *\n * If all features for a given sample timestep are equal to `mask_value`,\n * then the sample timestep will be masked (skipped) in all downstream layers\n * (as long as they support masking).\n *\n * If any downstream layer does not support masking yet receives such\n * an input mask, an exception will be raised.\n *\n * Arguments:\n *   - `maskValue`: Either None or mask value to skip.\n *\n * Input shape:\n *   Arbitrary. Use the keyword argument `inputShape`\n *   (tuple of integers, does not include the samples axis)\n *   when using this layer as the first layer in a model.\n *\n * Output shape:\n *   Same shape as input.\n */\n/** @doc {heading: 'Layers', subheading: 'Mask', namespace: 'layers'} */\nexport function masking(args?: MaskingArgs): Layer {\n  return new Masking(args);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\nimport {Tensor} from '@tensorflow/tfjs-core';\n\nimport * as losses from './losses';\nimport * as metrics from './metrics';\n\n/**\n * Binary accuracy metric function.\n *\n * `yTrue` and `yPred` can have 0-1 values. Example:\n * ```js\n * const x = tf.tensor2d([[1, 1, 1, 1], [0, 0, 0, 0]], [2, 4]);\n * const y = tf.tensor2d([[1, 0, 1, 0], [0, 0, 0, 1]], [2, 4]);\n * const accuracy = tf.metrics.binaryAccuracy(x, y);\n * accuracy.print();\n * ```\n *\n * `yTrue` and `yPred` can also have floating-number values between 0 and 1, in\n * which case the values will be thresholded at 0.5 to yield 0-1 values (i.e.,\n * a value >= 0.5 and <= 1.0 is interpreted as 1.\n * )\n * Example:\n * ```js\n * const x = tf.tensor1d([1, 1, 1, 1, 0, 0, 0, 0]);\n * const y = tf.tensor1d([0.2, 0.4, 0.6, 0.8, 0.2, 0.3, 0.4, 0.7]);\n * const accuracy = tf.metrics.binaryAccuracy(x, y);\n * accuracy.print();\n * ```\n *\n * @param yTrue Binary Tensor of truth.\n * @param yPred Binary Tensor of prediction.\n * @return Accuracy Tensor.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function binaryAccuracy(yTrue: Tensor, yPred: Tensor): Tensor {\n  return metrics.binaryAccuracy(yTrue, yPred);\n}\n\n/**\n * Binary crossentropy metric function.\n *\n * Example:\n * ```js\n * const x = tf.tensor2d([[0], [1], [1], [1]]);\n * const y = tf.tensor2d([[0], [0], [0.5], [1]]);\n * const crossentropy = tf.metrics.binaryCrossentropy(x, y);\n * crossentropy.print();\n * ```\n *\n * @param yTrue Binary Tensor of truth.\n * @param yPred Binary Tensor of prediction, probabilities for the `1` case.\n * @return Accuracy Tensor.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function binaryCrossentropy(yTrue: Tensor, yPred: Tensor): Tensor {\n  return metrics.binaryCrossentropy(yTrue, yPred);\n}\n\n/**\n * Sparse categorical accuracy metric function.\n *\n * Example:\n * ```js\n *\n * const yTrue = tf.tensor1d([1, 1, 2, 2, 0]);\n * const yPred = tf.tensor2d(\n *      [[0, 1, 0], [1, 0, 0], [0, 0.4, 0.6], [0, 0.6, 0.4], [0.7, 0.3, 0]]);\n * const crossentropy = tf.metrics.sparseCategoricalAccuracy(yTrue, yPred);\n * crossentropy.print();\n * ```\n *\n * @param yTrue True labels: indices.\n * @param yPred Predicted probabilities or logits.\n * @returns Accuracy tensor.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function sparseCategoricalAccuracy(\n    yTrue: Tensor, yPred: Tensor): Tensor {\n  return metrics.sparseCategoricalAccuracy(yTrue, yPred);\n}\n\n/**\n * Categorical accuracy metric function.\n *\n * Example:\n * ```js\n * const x = tf.tensor2d([[0, 0, 0, 1], [0, 0, 0, 1]]);\n * const y = tf.tensor2d([[0.1, 0.8, 0.05, 0.05], [0.1, 0.05, 0.05, 0.8]]);\n * const accuracy = tf.metrics.categoricalAccuracy(x, y);\n * accuracy.print();\n * ```\n *\n * @param yTrue Binary Tensor of truth: one-hot encoding of categories.\n * @param yPred Binary Tensor of prediction: probabilities or logits for the\n *   same categories as in `yTrue`.\n * @return Accuracy Tensor.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function categoricalAccuracy(yTrue: Tensor, yPred: Tensor): Tensor {\n  return metrics.categoricalAccuracy(yTrue, yPred);\n}\n\n/**\n * Categorical crossentropy between an output tensor and a target tensor.\n *\n * @param target A tensor of the same shape as `output`.\n * @param output A tensor resulting from a softmax (unless `fromLogits` is\n *  `true`, in which case `output` is expected to be the logits).\n * @param fromLogits Boolean, whether `output` is the result of a softmax, or is\n *   a tensor of logits.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function categoricalCrossentropy(yTrue: Tensor, yPred: Tensor): Tensor {\n  return metrics.categoricalCrossentropy(yTrue, yPred);\n}\n\n/**\n * Computes the precision of the predictions with respect to the labels.\n *\n * Example:\n * ```js\n * const x = tf.tensor2d(\n *    [\n *      [0, 0, 0, 1],\n *      [0, 1, 0, 0],\n *      [0, 0, 0, 1],\n *      [1, 0, 0, 0],\n *      [0, 0, 1, 0]\n *    ]\n * );\n *\n * const y = tf.tensor2d(\n *    [\n *      [0, 0, 1, 0],\n *      [0, 1, 0, 0],\n *      [0, 0, 0, 1],\n *      [0, 1, 0, 0],\n *      [0, 1, 0, 0]\n *    ]\n * );\n *\n * const precision = tf.metrics.precision(x, y);\n * precision.print();\n * ```\n *\n * @param yTrue The ground truth values. Expected to be contain only 0-1 values.\n * @param yPred The predicted values. Expected to be contain only 0-1 values.\n * @return Precision Tensor.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function precision(yTrue: Tensor, yPred: Tensor): Tensor {\n  return metrics.precision(yTrue, yPred);\n}\n\n/**\n * Computes the recall of the predictions with respect to the labels.\n *\n * Example:\n * ```js\n * const x = tf.tensor2d(\n *    [\n *      [0, 0, 0, 1],\n *      [0, 1, 0, 0],\n *      [0, 0, 0, 1],\n *      [1, 0, 0, 0],\n *      [0, 0, 1, 0]\n *    ]\n * );\n *\n * const y = tf.tensor2d(\n *    [\n *      [0, 0, 1, 0],\n *      [0, 1, 0, 0],\n *      [0, 0, 0, 1],\n *      [0, 1, 0, 0],\n *      [0, 1, 0, 0]\n *    ]\n * );\n *\n * const recall = tf.metrics.recall(x, y);\n * recall.print();\n * ```\n *\n * @param yTrue The ground truth values. Expected to be contain only 0-1 values.\n * @param yPred The predicted values. Expected to be contain only 0-1 values.\n * @return Recall Tensor.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function recall(yTrue: Tensor, yPred: Tensor): Tensor {\n  return metrics.recall(yTrue, yPred);\n}\n\n/**\n * Loss or metric function: Cosine proximity.\n *\n * Mathematically, cosine proximity is defined as:\n *   `-sum(l2Normalize(yTrue) * l2Normalize(yPred))`,\n * wherein `l2Normalize()` normalizes the L2 norm of the input to 1 and `*`\n * represents element-wise multiplication.\n *\n * ```js\n * const yTrue = tf.tensor2d([[1, 0], [1, 0]]);\n * const yPred = tf.tensor2d([[1 / Math.sqrt(2), 1 / Math.sqrt(2)], [0, 1]]);\n * const proximity = tf.metrics.cosineProximity(yTrue, yPred);\n * proximity.print();\n * ```\n *\n * @param yTrue Truth Tensor.\n * @param yPred Prediction Tensor.\n * @return Cosine proximity Tensor.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function cosineProximity(yTrue: Tensor, yPred: Tensor): Tensor {\n  return losses.cosineProximity(yTrue, yPred);\n}\n\n/**\n * Loss or metric function: Mean absolute error.\n *\n * Mathematically, mean absolute error is defined as:\n *   `mean(abs(yPred - yTrue))`,\n * wherein the `mean` is applied over feature dimensions.\n *\n * ```js\n * const yTrue = tf.tensor2d([[0, 1], [0, 0], [2, 3]]);\n * const yPred = tf.tensor2d([[0, 1], [0, 1], [-2, -3]]);\n * const mse = tf.metrics.meanAbsoluteError(yTrue, yPred);\n * mse.print();\n * ```\n *\n * @param yTrue Truth Tensor.\n * @param yPred Prediction Tensor.\n * @return Mean absolute error Tensor.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function meanAbsoluteError(yTrue: Tensor, yPred: Tensor): Tensor {\n  return losses.meanAbsoluteError(yTrue, yPred);\n}\n\n/**\n * Loss or metric function: Mean absolute percentage error.\n *\n * ```js\n * const yTrue = tf.tensor2d([[0, 1], [10, 20]]);\n * const yPred = tf.tensor2d([[0, 1], [11, 24]]);\n * const mse = tf.metrics.meanAbsolutePercentageError(yTrue, yPred);\n * mse.print();\n * ```\n *\n * Aliases: `tf.metrics.MAPE`, `tf.metrics.mape`.\n *\n * @param yTrue Truth Tensor.\n * @param yPred Prediction Tensor.\n * @return Mean absolute percentage error Tensor.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function meanAbsolutePercentageError(\n    yTrue: Tensor, yPred: Tensor): Tensor {\n  return losses.meanAbsolutePercentageError(yTrue, yPred);\n}\n\nexport function MAPE(yTrue: Tensor, yPred: Tensor): Tensor {\n  return losses.meanAbsolutePercentageError(yTrue, yPred);\n}\n\nexport function mape(yTrue: Tensor, yPred: Tensor): Tensor {\n  return losses.meanAbsolutePercentageError(yTrue, yPred);\n}\n\n/**\n * Loss or metric function: Mean squared error.\n *\n * ```js\n * const yTrue = tf.tensor2d([[0, 1], [3, 4]]);\n * const yPred = tf.tensor2d([[0, 1], [-3, -4]]);\n * const mse = tf.metrics.meanSquaredError(yTrue, yPred);\n * mse.print();\n * ```\n *\n * Aliases: `tf.metrics.MSE`, `tf.metrics.mse`.\n *\n * @param yTrue Truth Tensor.\n * @param yPred Prediction Tensor.\n * @return Mean squared error Tensor.\n */\n/** @doc {heading: 'Metrics', namespace: 'metrics'} */\nexport function meanSquaredError(yTrue: Tensor, yPred: Tensor): Tensor {\n  return losses.meanSquaredError(yTrue, yPred);\n}\n\nexport function MSE(yTrue: Tensor, yPred: Tensor): Tensor {\n  return losses.meanSquaredError(yTrue, yPred);\n}\n\nexport function mse(yTrue: Tensor, yPred: Tensor): Tensor {\n  return losses.meanSquaredError(yTrue, yPred);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC\n *\n * Use of this source code is governed by an MIT-style\n * license that can be found in the LICENSE file or at\n * https://opensource.org/licenses/MIT.\n * =============================================================================\n */\nimport * as regularizers from './regularizers';\n// tslint:disable-next-line:max-line-length\nimport {L1Args, L1L2, L1L2Args, L2Args, Regularizer} from './regularizers';\n\n/**\n * Regularizer for L1 and L2 regularization.\n *\n * Adds a term to the loss to penalize large weights:\n * loss += sum(l1 * abs(x)) + sum(l2 * x^2)\n */\n/** @doc {heading: 'Regularizers', namespace: 'regularizers'} */\nexport function l1l2(config?: L1L2Args): Regularizer {\n  return new L1L2(config);\n}\n\n/**\n * Regularizer for L1 regularization.\n *\n * Adds a term to the loss to penalize large weights:\n * loss += sum(l1 * abs(x))\n * @param args l1 config.\n */\n/** @doc {heading: 'Regularizers', namespace: 'regularizers'} */\nexport function l1(config?: L1Args): Regularizer {\n  return regularizers.l1(config);\n}\n\n/**\n * Regularizer for L2 regularization.\n *\n * Adds a term to the loss to penalize large weights:\n * loss += sum(l2 * x^2)\n * @param args l2 config.\n */\n/** @doc {heading: 'Regularizers', namespace: 'regularizers'} */\nexport function l2(config?: L2Args): Regularizer {\n  return regularizers.l2(config);\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n/* tslint:disable */\n\n/** Properties of an Any. */\nexport declare interface IAny {\n  /** Any typeUrl */\n  typeUrl?: (string|null);\n\n  /** Any value */\n  value?: (Uint8Array|null);\n}\n\n/** DataType enum. */\nexport enum DataType {\n  'DT_INVALID' = 0,\n  'DT_FLOAT' = 1,\n  'DT_DOUBLE' = 2,\n  'DT_INT32' = 3,\n  'DT_UINT8' = 4,\n  'DT_INT16' = 5,\n  'DT_INT8' = 6,\n  'DT_STRING' = 7,\n  'DT_COMPLEX64' = 8,\n  'DT_INT64' = 9,\n  'DT_BOOL' = 10,\n  'DT_QINT8' = 11,\n  'DT_QUINT8' = 12,\n  'DT_QINT32' = 13,\n  'DT_BFLOAT16' = 14,\n  'DT_FLOAT_REF' = 101,\n  'DT_DOUBLE_REF' = 102,\n  'DT_INT32_REF' = 103,\n  'DT_UINT8_REF' = 104,\n  'DT_INT16_REF' = 105,\n  'DT_INT8_REF' = 106,\n  'DT_STRING_REF' = 107,\n  'DT_COMPLEX64_REF' = 108,\n  'DT_INT64_REF' = 109,\n  'DT_BOOL_REF' = 110,\n  'DT_QINT8_REF' = 111,\n  'DT_QUINT8_REF' = 112,\n  'DT_QINT32_REF' = 113,\n  'DT_BFLOAT16_REF' = 114\n}\n\n/** Properties of a TensorShape. */\nexport declare interface ITensorShape {\n  /** TensorShape dim */\n  dim?: (TensorShape.IDim[]|null);\n\n  /** TensorShape unknownRank */\n  unknownRank?: (boolean|null);\n}\n\nexport namespace TensorShape {\n  /** Properties of a Dim. */\n  export declare interface IDim {\n    /** Dim size */\n    size?: (number|string|null);\n\n    /** Dim name */\n    name?: (string|null);\n  }\n}\n\n/** Properties of a Tensor. */\nexport declare interface ITensor {\n  /** Tensor dtype */\n  dtype?: (DataType|null);\n\n  /** Tensor tensorShape */\n  tensorShape?: (ITensorShape|null);\n\n  /** Tensor versionNumber */\n  versionNumber?: (number|null);\n\n  /** Tensor tensorContent */\n  tensorContent?: (Uint8Array|null);\n\n  /** Tensor floatVal */\n  floatVal?: (number[]|null);\n\n  /** Tensor doubleVal */\n  doubleVal?: (number[]|null);\n\n  /** Tensor intVal */\n  intVal?: (number[]|null);\n\n  /** Tensor stringVal */\n  stringVal?: (Uint8Array[]|null);\n\n  /** Tensor scomplexVal */\n  scomplexVal?: (number[]|null);\n\n  /** Tensor int64Val */\n  int64Val?: ((number | string)[]|null);\n\n  /** Tensor boolVal */\n  boolVal?: (boolean[]|null);\n\n  /** Tensor uint32Val */\n  uint32Val?: (number[]|null);\n\n  /** Tensor uint64Val */\n  uint64Val?: ((number | string)[]|null);\n}\n\n/** Properties of an AttrValue. */\nexport declare interface IAttrValue {\n  /** AttrValue list */\n  list?: (AttrValue.IListValue|null);\n\n  /** AttrValue s */\n  s?: (string|null);\n\n  /** AttrValue i */\n  i?: (number|string|null);\n\n  /** AttrValue f */\n  f?: (number|null);\n\n  /** AttrValue b */\n  b?: (boolean|null);\n\n  /** AttrValue type */\n  type?: (DataType|null);\n\n  /** AttrValue shape */\n  shape?: (ITensorShape|null);\n\n  /** AttrValue tensor */\n  tensor?: (ITensor|null);\n\n  /** AttrValue placeholder */\n  placeholder?: (string|null);\n\n  /** AttrValue func */\n  func?: (INameAttrList|null);\n}\n\nexport namespace AttrValue {\n  /** Properties of a ListValue. */\n  export declare interface IListValue {\n    /** ListValue s */\n    s?: (string[]|null);\n\n    /** ListValue i */\n    i?: ((number | string)[]|null);\n\n    /** ListValue f */\n    f?: (number[]|null);\n\n    /** ListValue b */\n    b?: (boolean[]|null);\n\n    /** ListValue type */\n    type?: (DataType[]|null);\n\n    /** ListValue shape */\n    shape?: (ITensorShape[]|null);\n\n    /** ListValue tensor */\n    tensor?: (ITensor[]|null);\n\n    /** ListValue func */\n    func?: (INameAttrList[]|null);\n  }\n}\n\n/** Properties of a NameAttrList. */\nexport declare interface INameAttrList {\n  /** NameAttrList name */\n  name?: (string|null);\n\n  /** NameAttrList attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a NodeDef. */\nexport declare interface INodeDef {\n  /** NodeDef name */\n  name?: (string|null);\n\n  /** NodeDef op */\n  op?: (string|null);\n\n  /** NodeDef input */\n  input?: (string[]|null);\n\n  /** NodeDef device */\n  device?: (string|null);\n\n  /** NodeDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a VersionDef. */\nexport declare interface IVersionDef {\n  /** VersionDef producer */\n  producer?: (number|null);\n\n  /** VersionDef minConsumer */\n  minConsumer?: (number|null);\n\n  /** VersionDef badConsumers */\n  badConsumers?: (number[]|null);\n}\n\n/** Properties of a GraphDef. */\nexport declare interface IGraphDef {\n  /** GraphDef node */\n  node?: (INodeDef[]|null);\n\n  /** GraphDef versions */\n  versions?: (IVersionDef|null);\n\n  /** GraphDef library */\n  library?: (IFunctionDefLibrary|null);\n}\n\n/** Properties of a CollectionDef. */\nexport declare interface ICollectionDef {\n  /** CollectionDef nodeList */\n  nodeList?: (CollectionDef.INodeList|null);\n\n  /** CollectionDef bytesList */\n  bytesList?: (CollectionDef.IBytesList|null);\n\n  /** CollectionDef int64List */\n  int64List?: (CollectionDef.IInt64List|null);\n\n  /** CollectionDef floatList */\n  floatList?: (CollectionDef.IFloatList|null);\n\n  /** CollectionDef anyList */\n  anyList?: (CollectionDef.IAnyList|null);\n}\n\nexport namespace CollectionDef {\n  /** Properties of a NodeList. */\n  export declare interface INodeList {\n    /** NodeList value */\n    value?: (string[]|null);\n  }\n\n  /** Properties of a BytesList. */\n  export declare interface IBytesList {\n    /** BytesList value */\n    value?: (Uint8Array[]|null);\n  }\n\n  /** Properties of an Int64List. */\n  export declare interface IInt64List {\n    /** Int64List value */\n    value?: ((number | string)[]|null);\n  }\n\n  /** Properties of a FloatList. */\n  export declare interface IFloatList {\n    /** FloatList value */\n    value?: (number[]|null);\n  }\n\n  /** Properties of an AnyList. */\n  export declare interface IAnyList {\n    /** AnyList value */\n    value?: (IAny[]|null);\n  }\n}\n\n/** Properties of a SaverDef. */\nexport declare interface ISaverDef {\n  /** SaverDef filenameTensorName */\n  filenameTensorName?: (string|null);\n\n  /** SaverDef saveTensorName */\n  saveTensorName?: (string|null);\n\n  /** SaverDef restoreOpName */\n  restoreOpName?: (string|null);\n\n  /** SaverDef maxToKeep */\n  maxToKeep?: (number|null);\n\n  /** SaverDef sharded */\n  sharded?: (boolean|null);\n\n  /** SaverDef keepCheckpointEveryNHours */\n  keepCheckpointEveryNHours?: (number|null);\n\n  /** SaverDef version */\n  version?: (SaverDef.CheckpointFormatVersion|null);\n}\n\nexport namespace SaverDef {\n  /** CheckpointFormatVersion enum. */\n  export enum CheckpointFormatVersion {'LEGACY' = 0, 'V1' = 1, 'V2' = 2}\n}\n\n/** Properties of a TensorInfo. */\nexport declare interface ITensorInfo {\n  /** TensorInfo name */\n  name?: (string|null);\n\n  /** TensorInfo cooSparse */\n  cooSparse?: (TensorInfo.ICooSparse|null);\n\n  /** TensorInfo dtype */\n  dtype?: (DataType|null);\n\n  /** TensorInfo tensorShape */\n  tensorShape?: (ITensorShape|null);\n}\n\nexport namespace TensorInfo {\n  /** Properties of a CooSparse. */\n  export declare interface ICooSparse {\n    /** CooSparse valuesTensorName */\n    valuesTensorName?: (string|null);\n\n    /** CooSparse indicesTensorName */\n    indicesTensorName?: (string|null);\n\n    /** CooSparse denseShapeTensorName */\n    denseShapeTensorName?: (string|null);\n  }\n}\n\n/** Properties of a SignatureDef. */\nexport declare interface ISignatureDef {\n  /** SignatureDef inputs */\n  inputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef outputs */\n  outputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef methodName */\n  methodName?: (string|null);\n}\n\n/** Properties of an AssetFileDef. */\nexport declare interface IAssetFileDef {\n  /** AssetFileDef tensorInfo */\n  tensorInfo?: (ITensorInfo|null);\n\n  /** AssetFileDef filename */\n  filename?: (string|null);\n}\n\n/** Properties of an OpDef. */\nexport declare interface IOpDef {\n  /** OpDef name */\n  name?: (string|null);\n\n  /** OpDef inputArg */\n  inputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef outputArg */\n  outputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef attr */\n  attr?: (OpDef.IAttrDef[]|null);\n\n  /** OpDef deprecation */\n  deprecation?: (OpDef.IOpDeprecation|null);\n\n  /** OpDef summary */\n  summary?: (string|null);\n\n  /** OpDef description */\n  description?: (string|null);\n\n  /** OpDef isCommutative */\n  isCommutative?: (boolean|null);\n\n  /** OpDef isAggregate */\n  isAggregate?: (boolean|null);\n\n  /** OpDef isStateful */\n  isStateful?: (boolean|null);\n\n  /** OpDef allowsUninitializedInput */\n  allowsUninitializedInput?: (boolean|null);\n}\n\nexport namespace OpDef {\n  /** Properties of an ArgDef. */\n  export declare interface IArgDef {\n    /** ArgDef name */\n    name?: (string|null);\n\n    /** ArgDef description */\n    description?: (string|null);\n\n    /** ArgDef type */\n    type?: (DataType|null);\n\n    /** ArgDef typeAttr */\n    typeAttr?: (string|null);\n\n    /** ArgDef numberAttr */\n    numberAttr?: (string|null);\n\n    /** ArgDef typeListAttr */\n    typeListAttr?: (string|null);\n\n    /** ArgDef isRef */\n    isRef?: (boolean|null);\n  }\n\n  /** Properties of an AttrDef. */\n  export declare interface IAttrDef {\n    /** AttrDef name */\n    name?: (string|null);\n\n    /** AttrDef type */\n    type?: (string|null);\n\n    /** AttrDef defaultValue */\n    defaultValue?: (IAttrValue|null);\n\n    /** AttrDef description */\n    description?: (string|null);\n\n    /** AttrDef hasMinimum */\n    hasMinimum?: (boolean|null);\n\n    /** AttrDef minimum */\n    minimum?: (number|string|null);\n\n    /** AttrDef allowedValues */\n    allowedValues?: (IAttrValue|null);\n  }\n\n  /** Properties of an OpDeprecation. */\n  export declare interface IOpDeprecation {\n    /** OpDeprecation version */\n    version?: (number|null);\n\n    /** OpDeprecation explanation */\n    explanation?: (string|null);\n  }\n}\n\n/** Properties of an OpList. */\nexport declare interface IOpList {\n  /** OpList op */\n  op?: (IOpDef[]|null);\n}\n\n/** Properties of a MetaGraphDef. */\nexport declare interface IMetaGraphDef {\n  /** MetaGraphDef metaInfoDef */\n  metaInfoDef?: (MetaGraphDef.IMetaInfoDef|null);\n\n  /** MetaGraphDef graphDef */\n  graphDef?: (IGraphDef|null);\n\n  /** MetaGraphDef saverDef */\n  saverDef?: (ISaverDef|null);\n\n  /** MetaGraphDef collectionDef */\n  collectionDef?: ({[k: string]: ICollectionDef}|null);\n\n  /** MetaGraphDef signatureDef */\n  signatureDef?: ({[k: string]: ISignatureDef}|null);\n\n  /** MetaGraphDef assetFileDef */\n  assetFileDef?: (IAssetFileDef[]|null);\n}\n\nexport namespace MetaGraphDef {\n  /** Properties of a MetaInfoDef. */\n  export declare interface IMetaInfoDef {\n    /** MetaInfoDef metaGraphVersion */\n    metaGraphVersion?: (string|null);\n\n    /** MetaInfoDef strippedOpList */\n    strippedOpList?: (IOpList|null);\n\n    /** MetaInfoDef anyInfo */\n    anyInfo?: (IAny|null);\n\n    /** MetaInfoDef tags */\n    tags?: (string[]|null);\n\n    /** MetaInfoDef tensorflowVersion */\n    tensorflowVersion?: (string|null);\n\n    /** MetaInfoDef tensorflowGitVersion */\n    tensorflowGitVersion?: (string|null);\n  }\n}\n\n/** Properties of a SavedModel. */\nexport declare interface ISavedModel {\n  /** SavedModel savedModelSchemaVersion */\n  savedModelSchemaVersion?: (number|string|null);\n\n  /** SavedModel metaGraphs */\n  metaGraphs?: (IMetaGraphDef[]|null);\n}\n\n/** Properties of a FunctionDefLibrary. */\nexport declare interface IFunctionDefLibrary {\n  /** FunctionDefLibrary function */\n  'function'?: (IFunctionDef[]|null);\n\n  /** FunctionDefLibrary gradient */\n  gradient?: (IGradientDef[]|null);\n}\n\n/** Properties of a FunctionDef. */\nexport declare interface IFunctionDef {\n  /** FunctionDef signature */\n  signature?: (IOpDef|null);\n\n  /** FunctionDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n\n  /** FunctionDef nodeDef */\n  nodeDef?: (INodeDef[]|null);\n\n  /** FunctionDef ret */\n  ret?: ({[k: string]: string}|null);\n}\n\n/** Properties of a GradientDef. */\nexport declare interface IGradientDef {\n  /** GradientDef functionName */\n  functionName?: (string|null);\n\n  /** GradientDef gradientFunc */\n  gradientFunc?: (string|null);\n}\n","\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpExecutor, OpMapper} from '../types';\n\nconst CUSTOM_OPS: {[key: string]: OpMapper} = {};\n\n/**\n * Register an Op for graph model executor. This allow you to register\n * TensorFlow custom op or override existing op.\n *\n * Here is an example of registering a new MatMul Op.\n * ```js\n * const customMatmul = (node) =>\n *    tf.matMul(\n *        node.inputs[0], node.inputs[1],\n *        node.attrs['transpose_a'], node.attrs['transpose_b']);\n *\n * tf.registerOp('MatMul', customMatmul);\n * ```\n * The inputs and attrs of the node object is based on the TensorFlow op\n * registry.\n *\n * @param name The Tensorflow Op name.\n * @param opFunc An op function which is called with the current graph node\n * during execution and needs to return a tensor or a list of tensors. The node\n * has the following attributes:\n *    - attr: A map from attribute name to its value\n *    - inputs: A list of input tensors\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function registerOp(name: string, opFunc: OpExecutor) {\n  const opMapper: OpMapper = {\n    tfOpName: name,\n    category: 'custom',\n    inputs: [],\n    attrs: [],\n    customExecutor: opFunc\n  };\n\n  CUSTOM_OPS[name] = opMapper;\n}\n\n/**\n * Retrieve the OpMapper object for the registered op.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\n\nexport function getRegisteredOp(name: string): OpMapper {\n  return CUSTOM_OPS[name];\n}\n\n/**\n * Deregister the Op for graph model executor.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function deregisterOp(name: string) {\n  delete CUSTOM_OPS[name];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {Node, ValueType} from '../types';\n\nexport function getParamValue(\n    paramName: string, node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): ValueType {\n  const inputParam = node.inputParams[paramName];\n  if (inputParam && inputParam.inputIndexStart !== undefined) {\n    const start = inputParam.inputIndexStart;\n    const end = inputParam.inputIndexEnd === 0 ?\n        undefined :\n        (inputParam.inputIndexEnd === undefined ? start + 1 :\n                                                  inputParam.inputIndexEnd);\n    if (inputParam.type === 'tensor') {\n      return getTensor(\n          node.inputNames[inputParam.inputIndexStart], tensorMap, context);\n    }\n    if (inputParam.type === 'tensors') {\n      const inputs = node.inputNames.slice(start, end);\n\n      return inputs.map(name => getTensor(name, tensorMap, context));\n    }\n    const data = Array.prototype.slice.call(\n        getTensor(node.inputNames.slice(start)[0], tensorMap, context)\n            .dataSync());\n    return inputParam.type === 'number' ? data[0] : data;\n  }\n  const attrParam = node.attrParams[paramName];\n  return attrParam && attrParam.value;\n}\n\n/**\n * Retrieve the tensor based on input name by extracting the node name and\n * output index information.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensor(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor {\n  const [nodeName, index] = parseNodeName(name);\n  const contextId = context.currentContextIds.find(contextId => {\n    return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];\n  });\n\n  return contextId !== undefined ?\n      tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] :\n      undefined;\n}\n\n/**\n * Retrieve the tensors based on input name for current context.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensorsForCurrentContenxt(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[] {\n  return tensorsMap[getNodeNameWithContextId(name, context.currentContextId)];\n}\n\n/**\n * Returns the node name and index from the Node input name.\n * @param inputName The input name of the node, in format of\n * node_name:output_index, i.e. MatMul:0, if the output_index is not set, it is\n * default to 0.\n */\nexport function getNodeNameAndIndex(\n    inputName: string, context?: ExecutionContext): [string, number] {\n  const [nodeName, index] = parseNodeName(inputName);\n\n  return [\n    getNodeNameWithContextId(nodeName, context && context.currentContextId),\n    index\n  ];\n}\n\nfunction getNodeNameWithContextId(name: string, contextId?: string): string {\n  return !!contextId ? `${name}-${contextId}` : name;\n}\n\nexport function parseNodeName(name: string): [string, number] {\n  const index = name.lastIndexOf(':');\n  if (index === -1) {\n    return [name, 0];\n  }\n\n  const nodeName = name.substring(0, index);\n  return [nodeName, Number(name.substring(index + 1))];\n}\n\nexport function split(arr: number[], size: number) {\n  const res = [];\n  for (let i = 0; i < arr.length; i += size) {\n    res.push(arr.slice(i, i + size));\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Add',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddV2',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddN',\n    'category': 'arithmetic',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'BiasAdd',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sub',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'RealDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Div',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'DivNoNan',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mul',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Maximum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Minimum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Pow',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SquaredDifference',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorMod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Abs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan2',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ceil',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ClipByValue',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'clip_value_min', 'name': 'clipValueMin', 'type': 'number'},\n      {'tfName': 'clip_value_max', 'name': 'clipValueMax', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Complex',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'real', 'type': 'tensor'},\n      {'start': 1, 'name': 'imag', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ComplexAbs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Elu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Exp',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Floor',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Imag',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Neg',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Real',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Prelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'alpha', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu6',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'clipValueMin',\n        'name': 'clipValueMin',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'clipValueMax',\n        'name': 'clipValueMax',\n        'type': 'number',\n        'defaultValue': 6\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Selu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sigmoid',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Rsqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Square',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sign',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Round',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Expm1',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log1p',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Reciprocal',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Softplus',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Erf',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axes', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'keep_dims',\n        'name': 'keepDims',\n        'type': 'bool',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LeakyRelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 0.2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'LoopCond',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'pred', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Switch',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'data', 'type': 'tensor'},\n      {'start': 1, 'name': 'pred', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Merge',\n    'category': 'control',\n    'inputs':\n        [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Enter',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'frame_name', 'name': 'frameName', 'type': 'string'},\n      {'tfName': 'is_constant', 'name': 'isConstant', 'type': 'bool'}\n    ]\n  },\n  {\n    'tfOpName': 'Exit',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NextIteration',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'size', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'},\n      {'tfName': 'dynamic_size', 'name': 'dynamicSize', 'type': 'bool'},\n      {'tfName': 'clear_after_read', 'name': 'clearAfterRead', 'type': 'bool'},\n      {\n        'tfName': 'identical_element_shapes',\n        'name': 'identicalElementShapes',\n        'type': 'bool'\n      },\n      {'tfName': 'tensor_array_name', 'name': 'name', 'type': 'string'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayWriteV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayReadV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{\n      'tfName': 'dtype',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  },\n  {\n    'tfOpName': 'TensorArrayGatherV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayScatterV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArrayConcatV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}, {\n        'tfName': 'element_shape_except0',\n        'name': 'elementShapeExcept0',\n        'type': 'shape',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'TensorArraySplitV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 2, 'name': 'lengths', 'type': 'number[]'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArraySizeV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayCloseV3',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'tensorArrayId', 'type': 'number'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'AvgPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AvgPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Conv1D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'stride', 'name': 'stride', 'type': 'number'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NWC'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'dilation',\n        'name': 'dilation',\n        'type': 'number',\n        'defaultValue': 1\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'useCudnnOnGpu', 'name': 'useCudnnOnGpu', 'type': 'bool'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': '_FusedConv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {\n        'tfName': 'explicit_paddings',\n        'name': 'explicitPaddings',\n        'type': 'number[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'use_cudnn_on_gpu',\n        'name': 'useCudnnOnGpu',\n        'type': 'bool',\n        'defaultValue': true\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n    ]\n  },\n  {\n    'tfOpName': 'Conv2DBackpropInput',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 2, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 0, 'name': 'outputShape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2d',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'FusedDepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ],\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Fill',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n      {'start': 1, 'name': 'value', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'LinSpace',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'num', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'OneHot',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'depth', 'type': 'number'},\n      {'start': 2, 'name': 'onValue', 'type': 'number', 'defaultValue': 1},\n      {'start': 3, 'name': 'offValue', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [\n      {\n        'tfName': 'axis',\n        'name': 'axis',\n        'type': 'number',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ones',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'OnesLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'RandomUniform',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'minval',\n        'name': 'minval',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'maxval',\n        'name': 'maxval',\n        'type': 'number',\n        'defaultValue': 1\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Range',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'step', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [{'tfName': 'Tidx', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TruncatedNormal',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'means',\n        'name': 'mean',\n        'type': 'number',\n        'defaultValue': 0.0\n      },\n      {\n        'tfName': 'stddev',\n        'name': 'stdDev',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Zeros',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'ZerosLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'Multinomial',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'logits', 'type': 'tensor'},\n      {'start': 1, 'name': 'numSamples', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'},\n      {'tfName': 'seed2', 'name': 'seed2', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'output_dtype', 'name': 'output_dtype', 'type': 'dtype'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'NonMaxSuppressionV2',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV3',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV5',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'},\n      {'start': 5, 'name': 'softNmsSigma', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Where',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ListDiff',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [{\n  'tfOpName': 'TopKV2',\n  'category': 'evaluation',\n  'inputs': [\n    {'start': 0, 'name': 'x', 'type': 'tensor'},\n    {'start': 1, 'name': 'k', 'type': 'number'},\n  ],\n  'attrs': [{'tfName': 'sorted', 'name': 'sorted', 'type': 'bool'}]\n}];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'PlaceholderWithDefault',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'default', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'Placeholder',\n    'category': 'graph',\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {'tfOpName': 'Const', 'category': 'graph'}, {\n    'tfOpName': 'Identity',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IdentityN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Snapshot',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Rank',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Size',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Shape',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'ShapeN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Print',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'data', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'message', 'name': 'message', 'type': 'string'}, {\n        'tfName': 'first_n',\n        'name': 'firstN',\n        'type': 'number',\n        'notSupported': true\n      },\n      {\n        'tfName': 'summarize',\n        'name': 'summarize',\n        'type': 'number',\n        'defaultValue': 3\n      }\n    ]\n  },\n  {'tfOpName': 'NoOp', 'category': 'graph', 'inputs': []}, {\n    'tfOpName': 'StopGradient',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'FakeQuantWithMinMaxVars',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'min', 'name': 'min', 'type': 'number'},\n      {'tfName': 'max', 'name': 'max', 'type': 'number'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ResizeBilinear',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ResizeNearestNeighbor',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'CropAndResize',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'image', 'type': 'tensor'},\n      {'start': 1, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 2, 'name': 'boxInd', 'type': 'tensor'},\n      {'start': 3, 'name': 'cropSize', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'method', 'name': 'method', 'type': 'string'}, {\n        'tfName': 'extrapolation_value',\n        'name': 'extrapolationValue',\n        'type': 'number'\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Equal',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NotEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Greater',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'GreaterEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Less',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LessEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalAnd',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalNot',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalOr',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Select',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': '_FusedMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'}, {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMulV2',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Transpose',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'perm', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FusedBatchNorm',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV2',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV3',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'LRN',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'depth_radius',\n        'name': 'radius',\n        'type': 'number',\n        'defaultValue': 5\n      },\n      {'tfName': 'bias', 'name': 'bias', 'type': 'number', 'defaultValue': 1.0},\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {\n        'tfName': 'beta',\n        'name': 'beta',\n        'type': 'number',\n        'defaultValue': 0.5\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Softmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'LogSoftmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': true,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Max',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Mean',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Min',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Sum',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'All',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Any',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'ArgMax',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'ArgMin',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ConcatV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': -1, 'name': 'tensors', 'type': 'tensors'},\n      {'start': -1, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs':\n        [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n  },\n  {\n    'tfOpName': 'Concat',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 1, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n      {'start': 0, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs': [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n\n  },\n  {\n    'tfOpName': 'GatherV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Gather',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'validate_indices',\n        'name': 'validateIndices',\n        'type': 'bool',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reverse',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'dims', 'type': 'bool', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ReverseV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Slice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'size', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'StridedSlice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'end', 'type': 'number[]'},\n      {'start': 3, 'name': 'strides', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'begin_mask',\n        'name': 'beginMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'end_mask',\n        'name': 'endMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'new_axis_mask',\n        'name': 'newAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'ellipsis_mask',\n        'name': 'ellipsisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'shrink_axis_mask',\n        'name': 'shrinkAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Pack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Unpack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'num',\n        'name': 'num',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Tile',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'reps', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Split',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'axis', 'type': 'number', 'defaultValue': 0},\n      {'start': 1, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'num_split',\n      'name': 'numOrSizeSplits',\n      'type': 'number',\n      'defaultValue': 1\n    }]\n  },\n  {\n    'tfOpName': 'SplitV',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'numOrSizeSplits', 'type': 'number[]'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'ScatterNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'values', 'type': 'tensor'},\n      {'start': 2, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'GatherNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': false,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IFFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'RFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'IRFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Cast',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'SrcT',\n        'name': 'sdtype',\n        'type': 'dtype',\n        'notSupported': true\n      },\n      {'tfName': 'DstT', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'ExpandDims',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Pad',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'constant_value',\n      'name': 'constantValue',\n      'type': 'number',\n      'defaultValue': 0\n    }]\n  },\n  {\n    'tfOpName': 'PadV2',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'}, {\n        'start': 2,\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reshape',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Squeeze',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'axis',\n      'tfDeprecatedName': 'squeeze_dims',\n      'name': 'axis',\n      'type': 'number[]'\n    }]\n  },\n  {\n    'tfOpName': 'SpaceToBatchND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'paddings', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'BatchToSpaceND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'crops', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthToSpace',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'block_size', 'name': 'blockSize', 'type': 'number'},\n      {'tfName': 'data_format', 'name': 'dataFormat', 'type': 'string'}\n    ]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, env} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {getRegisteredOp} from './custom_op/register';\n\nimport {getNodeNameAndIndex} from './executors/utils';\nimport * as arithmetic from './op_list/arithmetic';\nimport * as basicMath from './op_list/basic_math';\nimport * as control from './op_list/control';\nimport * as convolution from './op_list/convolution';\nimport * as creation from './op_list/creation';\nimport * as dynamic from './op_list/dynamic';\nimport * as evaluation from './op_list/evaluation';\nimport * as graph from './op_list/graph';\nimport * as image from './op_list/image';\nimport * as logical from './op_list/logical';\nimport * as matrices from './op_list/matrices';\nimport * as normalization from './op_list/normalization';\nimport * as reduction from './op_list/reduction';\nimport * as sliceJoin from './op_list/slice_join';\nimport * as spectral from './op_list/spectral';\nimport * as transformation from './op_list/transformation';\nimport {Graph, InputParamValue, Node, OpMapper, ParamValue} from './types';\n\nexport class OperationMapper {\n  private static _instance: OperationMapper;\n\n  private opMappers: {[key: string]: OpMapper};\n\n  // Singleton instance for the mapper\n  public static get Instance() {\n    return this._instance || (this._instance = new this());\n  }\n\n  // Loads the op mapping from the JSON file.\n  private constructor() {\n    const ops = [\n      arithmetic, basicMath, control, convolution, creation, dynamic,\n      evaluation, logical, image, graph, matrices, normalization, reduction,\n      sliceJoin, spectral, transformation\n    ];\n    const mappersJson: OpMapper[] = [].concat(...ops.map(op => op.json));\n\n    this.opMappers = mappersJson.reduce<{[key: string]: OpMapper}>(\n        (map, mapper: OpMapper) => {\n          map[mapper.tfOpName] = mapper;\n          return map;\n        },\n        {});\n  }\n\n  // Converts the model from Tensorflow GraphDef to local representation for\n  // TensorFlow.js API\n  transformGraph(\n      graph: tensorflow.IGraphDef,\n      signature: tensorflow.ISignatureDef = {}): Graph {\n    const tfNodes = graph.node;\n    const placeholders: Node[] = [];\n    const weights: Node[] = [];\n    const nodes = tfNodes.reduce<{[key: string]: Node}>((map, node) => {\n      map[node.name] = this.mapNode(node);\n      if (node.op.startsWith('Placeholder')) {\n        placeholders.push(map[node.name]);\n      }\n      if (node.op === 'Const') {\n        weights.push(map[node.name]);\n      }\n      return map;\n    }, {});\n\n    let inputs: Node[] = [];\n    const outputs: Node[] = [];\n    let inputNodeNameToKey: {[key: string]: string} = {};\n    let outputNodeNameToKey: {[key: string]: string} = {};\n    if (signature != null) {\n      inputNodeNameToKey = this.mapSignatureEntries(signature.inputs);\n      outputNodeNameToKey = this.mapSignatureEntries(signature.outputs);\n    }\n    const allNodes = Object.keys(nodes);\n    allNodes.forEach(key => {\n      const node = nodes[key];\n      node.inputNames.forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        node.inputs.push(nodes[nodeName]);\n        nodes[nodeName].children.push(node);\n      });\n    });\n\n    // if signature has not outputs set, add any node that does not have\n    // outputs.\n    if (Object.keys(outputNodeNameToKey).length === 0) {\n      allNodes.forEach(key => {\n        const node = nodes[key];\n        if (node.children.length === 0) {\n          outputs.push(node);\n        }\n      });\n    } else {\n      Object.keys(outputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node != null) {\n          node.signatureKey = outputNodeNameToKey[name];\n          outputs.push(node);\n        }\n      });\n    }\n\n    if (Object.keys(inputNodeNameToKey).length > 0) {\n      Object.keys(inputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node) {\n          node.signatureKey = inputNodeNameToKey[name];\n          inputs.push(node);\n        }\n      });\n    } else {\n      inputs = placeholders;\n    }\n\n    return {nodes, inputs, outputs, weights, placeholders, signature};\n  }\n\n  private mapSignatureEntries(entries: {[k: string]: tensorflow.ITensorInfo}) {\n    return Object.keys(entries || {})\n        .reduce<{[key: string]: string}>((prev, curr) => {\n          prev[entries[curr].name] = curr;\n          return prev;\n        }, {});\n  }\n\n  private mapNode(node: tensorflow.INodeDef): Node {\n    // Unsupported ops will cause an error at run-time (not parse time), since\n    // they may not be used by the actual execution subgraph.\n    const mapper =\n        getRegisteredOp(node.op) || this.opMappers[node.op] || {} as OpMapper;\n    if (node.attr == null) {\n      node.attr = {};\n    }\n\n    const newNode: Node = {\n      name: node.name,\n      op: node.op,\n      category: mapper.category,\n      inputNames:\n          (node.input ||\n           []).map(input => input.startsWith('^') ? input.substr(1) : input),\n      inputs: [],\n      children: [],\n      inputParams: {},\n      attrParams: {},\n      rawAttrs: node.attr\n    };\n\n    if (mapper.inputs != null) {\n      newNode.inputParams =\n          mapper.inputs.reduce<{[key: string]: InputParamValue}>(\n              (map, param) => {\n                map[param.name] = {\n                  type: param.type,\n                  inputIndexStart: param.start,\n                  inputIndexEnd: param.end\n                };\n                return map;\n              },\n              {});\n    }\n    if (mapper.attrs != null) {\n      newNode.attrParams =\n          mapper.attrs.reduce<{[key: string]: ParamValue}>((map, param) => {\n            const type = param.type;\n            let value = undefined;\n            switch (param.type) {\n              case 'string':\n                value = getStringParam(\n                    node.attr, param.tfName, param.defaultValue as string);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string);\n                }\n                break;\n              case 'string[]':\n                value = getStringArrayParam(\n                    node.attr, param.tfName, param.defaultValue as string[]);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string[]);\n                }\n                break;\n              case 'number':\n                value = getNumberParam(\n                    node.attr, param.tfName,\n                    (param.defaultValue || 0) as number);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumberParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number);\n                }\n                break;\n              case 'number[]':\n                value = getNumericArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumericArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'bool':\n                value = getBoolParam(\n                    node.attr, param.tfName, param.defaultValue as boolean);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean);\n                }\n                break;\n              case 'bool[]':\n                value = getBoolArrayParam(\n                    node.attr, param.tfName, param.defaultValue as boolean[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean[]);\n                }\n                break;\n              case 'shape':\n                value = getTensorShapeParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'shape[]':\n                value = getTensorShapeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[][]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[][]);\n                }\n                break;\n              case 'dtype':\n                value = getDtypeParam(\n                    node.attr, param.tfName, param.defaultValue as DataType);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType);\n                }\n                break;\n              case 'dtype[]':\n                value = getDtypeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as DataType[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType[]);\n                }\n                break;\n              case 'tensor':\n              case 'tensors':\n                break;\n              default:\n                throw new Error(\n                    `Unsupported param type: ${param.type} for op: ${node.op}`);\n            }\n            map[param.name] = {value, type};\n            return map;\n          }, {});\n    }\n    return newNode;\n  }\n}\n\nexport function decodeBase64(text: string): string {\n  const global = env().global;\n  if (typeof global.atob !== 'undefined') {\n    return global.atob(text);\n  } else if (typeof Buffer !== 'undefined') {\n    return new Buffer(text, 'base64').toString();\n  } else {\n    throw new Error(\n        'Unable to decode base64 in this environment. ' +\n        'Missing built-in atob() or Buffer()');\n  }\n}\n\nexport function parseStringParam(s: []|string, keepCase: boolean): string {\n  const value =\n      Array.isArray(s) ? String.fromCharCode.apply(null, s) : decodeBase64(s);\n  return keepCase ? value : value.toLowerCase();\n}\n\nexport function getStringParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string,\n    keepCase = false): string {\n  const param = attrs[name];\n  if (param != null) {\n    return parseStringParam(param.s, keepCase);\n  }\n  return def;\n}\n\nexport function getBoolParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean): boolean {\n  const param = attrs[name];\n  return param ? param.b : def;\n}\n\nexport function getNumberParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number): number {\n  const param = attrs[name] || {};\n  const value =\n      param['i'] != null ? param['i'] : (param['f'] != null ? param['f'] : def);\n  return (typeof value === 'number') ? value : parseInt(value, 10);\n}\n\nexport function parseDtypeParam(value: string|tensorflow.DataType): DataType {\n  if (typeof (value) === 'string') {\n    // tslint:disable-next-line:no-any\n    value = tensorflow.DataType[value as any];\n  }\n  switch (value) {\n    case tensorflow.DataType.DT_FLOAT:\n      return 'float32';\n    case tensorflow.DataType.DT_INT32:\n    case tensorflow.DataType.DT_INT64:\n      return 'int32';\n    case tensorflow.DataType.DT_BOOL:\n      return 'bool';\n    case tensorflow.DataType.DT_DOUBLE:\n      return 'float32';\n    case tensorflow.DataType.DT_STRING:\n      return 'string';\n    default:\n      // Unknown dtype error will happen at runtime (instead of parse time),\n      // since these nodes might not be used by the actual subgraph execution.\n      return null;\n  }\n}\n\nexport function getDtypeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType): DataType {\n  const param = attrs[name];\n  if (param && param.type) {\n    return parseDtypeParam(param.type);\n  }\n  return def;\n}\n\nexport function getDtypeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType[]): DataType[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.type) {\n    return param.list.type.map(v => parseDtypeParam(v));\n  }\n  return def;\n}\n\nexport function parseTensorShapeParam(shape: tensorflow.ITensorShape): number[]|\n    undefined {\n  if (shape.unknownRank) {\n    return undefined;\n  }\n  if (shape.dim != null) {\n    return shape.dim.map(\n        dim =>\n            (typeof dim.size === 'number') ? dim.size : parseInt(dim.size, 10));\n  }\n  return [];\n}\n\nexport function getTensorShapeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def?: number[]): number[]|undefined {\n  const param = attrs[name];\n  if (param && param.shape) {\n    return parseTensorShapeParam(param.shape);\n  }\n  return def;\n}\n\nexport function getNumericArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[]): number[] {\n  const param = attrs[name];\n  if (param) {\n    return ((param.list.f && param.list.f.length ? param.list.f :\n                                                   param.list.i) ||\n            [])\n        .map(v => (typeof v === 'number') ? v : parseInt(v, 10));\n  }\n  return def;\n}\n\nexport function getStringArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string[],\n    keepCase = false): string[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.s) {\n    return param.list.s.map((v) => {\n      return parseStringParam(v, keepCase);\n    });\n  }\n  return def;\n}\n\nexport function getTensorShapeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[][]): number[][] {\n  const param = attrs[name];\n  if (param && param.list && param.list.shape) {\n    return param.list.shape.map((v) => {\n      return parseTensorShapeParam(v);\n    });\n  }\n  return def;\n}\n\nexport function getBoolArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean[]): boolean[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.b) {\n    return param.list.b;\n  }\n  return def;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {getTensor} from '../executors/utils';\nimport {getBoolArrayParam, getBoolParam, getDtypeArrayParam, getDtypeParam, getNumberParam, getNumericArrayParam, getStringArrayParam, getStringParam, getTensorShapeArrayParam, getTensorShapeParam} from '../operation_mapper';\nimport {GraphNode, Node, ValueType} from '../types';\n\n/**\n * Helper class for lookup inputs and params for nodes in the model graph.\n */\nexport class NodeValueImpl implements GraphNode {\n  public readonly inputs: Tensor[] = [];\n  public readonly attrs: {[key: string]: ValueType} = {};\n  constructor(\n      private node: Node, private tensorMap: NamedTensorsMap,\n      private context: ExecutionContext) {\n    this.inputs = node.inputNames.map(name => this.getInput(name));\n    if (node.rawAttrs != null) {\n      this.attrs = Object.keys(node.rawAttrs)\n                       .reduce((attrs: {[key: string]: ValueType}, key) => {\n                         attrs[key] = this.getAttr(key);\n                         return attrs;\n                       }, {});\n    }\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getInput(name: string): Tensor {\n    return getTensor(name, this.tensorMap, this.context);\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getAttr(name: string, defaultValue?: ValueType): ValueType {\n    const value = this.node.rawAttrs[name];\n    if (value.tensor != null) {\n      return getTensor(name, this.tensorMap, this.context);\n    }\n    if (value.i != null || value.f != null) {\n      return getNumberParam(this.node.rawAttrs, name, defaultValue as number);\n    }\n    if (value.s != null) {\n      return getStringParam(this.node.rawAttrs, name, defaultValue as string);\n    }\n    if (value.b != null) {\n      return getBoolParam(this.node.rawAttrs, name, defaultValue as boolean);\n    }\n    if (value.shape != null) {\n      return getTensorShapeParam(\n          this.node.rawAttrs, name, defaultValue as number[]);\n    }\n    if (value.type != null) {\n      return getDtypeParam(this.node.rawAttrs, name, defaultValue as DataType);\n    }\n    if (value.list != null) {\n      if (value.list.i != null || value.list.f != null) {\n        return getNumericArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[]);\n      }\n      if (value.list.s != null) {\n        return getStringArrayParam(\n            this.node.rawAttrs, name, defaultValue as string[]);\n      }\n      if (value.list.shape != null) {\n        return getTensorShapeArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[][]);\n      }\n      if (value.list.b != null) {\n        return getBoolArrayParam(\n            this.node.rawAttrs, name, defaultValue as boolean[]);\n      }\n      if (value.list.type != null) {\n        return getDtypeArrayParam(\n            this.node.rawAttrs, name, defaultValue as DataType[]);\n      }\n    }\n\n    return defaultValue;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BiasAdd':\n    case 'AddV2':\n    case 'Add': {\n      return [tfc.add(\n          (getParamValue('a', node, tensorMap, context) as tfc.Tensor),\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'AddN': {\n      return [tfc.addN((\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[]))];\n    }\n    case 'FloorMod':\n    case 'Mod':\n      return [tfc.mod(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'Mul':\n      return [tfc.mul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'RealDiv':\n    case 'Div': {\n      return [tfc.div(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'DivNoNan': {\n      return [tfc.divNoNan(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'FloorDiv': {\n      return [tfc.floorDiv(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sub': {\n      return [tfc.sub(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Minimum': {\n      return [tfc.minimum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Maximum': {\n      return [tfc.maximum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Pow': {\n      return [tfc.pow(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SquaredDifference': {\n      return [tfc.squaredDifference(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'arithmetic';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Abs':\n    case 'ComplexAbs':\n      return [tfc.abs(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acos':\n      return [tfc.acos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acosh':\n      return [tfc.acosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asin':\n      return [tfc.asin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asinh':\n      return [tfc.asinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan':\n      return [tfc.atan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan2':\n      return [tfc.atan2(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atanh':\n      return [tfc.atanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Ceil':\n      return [tfc.ceil(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Complex':\n      return [tfc.complex(\n          getParamValue('real', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('imag', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cos':\n      return [tfc.cos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cosh':\n      return [tfc.cosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Elu':\n      return [tfc.elu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Erf':\n      return [tfc.erf(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Exp':\n      return [tfc.exp(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Expm1': {\n      return [tfc.expm1(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Floor':\n      return [tfc.floor(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log':\n      return [tfc.log(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log1p': {\n      return [tfc.log1p(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Imag':\n      return [tfc.imag(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n\n    case 'Neg':\n      return [tfc.neg(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Reciprocal': {\n      return [tfc.reciprocal(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Real':\n      return [tfc.real(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu':\n      return [tfc.relu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Round': {\n      return [tfc.round(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Selu':\n      return [tfc.selu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sigmoid':\n      return [tfc.sigmoid(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sin':\n      return [tfc.sin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sign': {\n      return [tfc.sign(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sinh': {\n      return [tfc.sinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Softplus': {\n      return [tfc.softplus(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sqrt': {\n      return [tfc.sqrt(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Square': {\n      return [tfc.square(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tanh': {\n      return [tfc.tanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tan':\n      return [tfc.tan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu6':\n    case 'ClipByValue':\n      return [tfc.clipByValue(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('clipValueMin', node, tensorMap, context) as number,\n          getParamValue('clipValueMax', node, tensorMap, context) as number)];\n    case 'Rsqrt':\n      return [tfc.rsqrt(getTensor(node.inputNames[0], tensorMap, context))];\n    case 'Prod':\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('axes', node, tensorMap, context) as number[])];\n    case 'LeakyRelu':\n      return [tfc.leakyRelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as number)];\n    case 'Prelu':\n      return [tfc.prelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as tfc.Tensor)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'basic_math';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {concat, DataType, slice, stack, Tensor, tensor, tidy, unstack, util} from '@tensorflow/tfjs-core';\n\nexport interface TensorWithState {\n  tensor?: Tensor;\n  written?: boolean;\n  read?: boolean;\n  cleared?: boolean;\n}\n/**\n * The TensorArray object keeps an array of Tensors.  It\n * allows reading from the array and writing to the array.\n */\nexport class TensorArray {\n  private static nextId = 0;\n  private tensors: TensorWithState[] = [];\n  private closed_ = false;\n  readonly id: number;\n  constructor(\n      public readonly name: string, public readonly dtype: DataType,\n      private maxSize: number, private elementShape: number[],\n      public readonly identicalElementShapes: boolean,\n      public readonly dynamicSize: boolean,\n      public readonly clearAfterRead: boolean) {\n    this.id = TensorArray.nextId++;\n  }\n\n  get closed() {\n    return this.closed_;\n  }\n\n  /**\n   * Close the current TensorArray.\n   */\n  clearAndClose() {\n    this.tensors.forEach(tensor => tensor.tensor.dispose());\n    this.tensors = [];\n    this.closed_ = true;\n  }\n\n  size(): number {\n    return this.tensors.length;\n  }\n\n  /**\n   * Read the value at location index in the TensorArray.\n   * @param index Number the index to read from.\n   */\n  read(index: number): Tensor {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || index >= this.tensors.length) {\n      throw new Error(`Tried to read from index ${index}, but array size is: ${\n          this.tensors.length}`);\n    }\n\n    const tensorWithState = this.tensors[index];\n    if (tensorWithState.cleared) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not read index ${\n              index} twice because it was cleared after a previous read ` +\n          `(perhaps try setting clear_after_read = false?).`);\n    }\n\n    if (this.clearAfterRead) {\n      tensorWithState.cleared = true;\n    }\n\n    tensorWithState.read = true;\n    return tensorWithState.tensor;\n  }\n\n  /**\n   * Helper method to read multiple tensors from the specified indices.\n   */\n  readMany(indices: number[]): Tensor[] {\n    return indices.map(index => this.read(index));\n  }\n\n  /**\n   * Write value into the index of the TensorArray.\n   * @param index number the index to write to.\n   * @param tensor\n   */\n  write(index: number, tensor: Tensor) {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || !this.dynamicSize && index >= this.maxSize) {\n      throw new Error(`Tried to write to index ${\n          index}, but array is not resizeable and size is: ${this.maxSize}`);\n    }\n\n    const t = this.tensors[index] || {};\n\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray ${\n          this.name}: Could not write to TensorArray index ${index},\n          because the value dtype is ${\n          tensor.dtype}, but TensorArray dtype is ${this.dtype}.`);\n    }\n\n    // Set the shape for the first time write to unknow shape tensor array\n    if (this.size() === 0 &&\n        (this.elementShape == null || this.elementShape.length === 0)) {\n      this.elementShape = tensor.shape;\n    }\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensor.shape,\n        `TensorArray ${this.name}: Could not write to TensorArray index ${\n            index}.`);\n\n    if (t && t.read) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been read.`);\n    }\n\n    if (t && t.written) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been written.`);\n    }\n\n    t.tensor = tensor;\n    t.written = true;\n\n    this.tensors[index] = t;\n  }\n\n  /**\n   * Helper method to write multiple tensors to the specified indices.\n   */\n  writeMany(indices: number[], tensors: Tensor[]) {\n    if (indices.length !== tensors.length) {\n      throw new Error(\n          `TensorArray ${this.name}: could not write multiple tensors,` +\n          `because the index size: ${\n              indices.length} is not the same as tensors size: ${\n              tensors.length}.`);\n    }\n\n    indices.forEach((i, index) => this.write(i, tensors[index]));\n  }\n\n  /**\n   * Return selected values in the TensorArray as a packed Tensor. All of\n   * selected values must have been written and their shapes must all match.\n   * @param [indices] number[] Optional. Taking values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size(). If not specified returns\n   *    all tensors in the original order.\n   * @param [dtype]\n   */\n  gather(indices?: number[], dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but gather requested dtype ${dtype}`);\n    }\n\n    if (!indices) {\n      indices = [];\n      for (let i = 0; i < this.size(); i++) {\n        indices.push(i);\n      }\n    }\n\n    if (indices.length === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    // Read all the PersistentTensors into a vector to keep track of\n    // their memory.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape, 'TensorArray shape mismatch: ');\n\n    return stack(tensors, 0);\n  }\n\n  /**\n   * Return the values in the TensorArray as a concatenated Tensor.\n   */\n  concat(dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but concat requested dtype ${dtype}`);\n    }\n\n    if (this.size() === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    const indices = [];\n    for (let i = 0; i < this.size(); i++) {\n      indices.push(i);\n    }\n    // Collect all the tensors from the tensors array.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape,\n        `TensorArray shape mismatch: tensor array shape (${\n            this.elementShape}) vs first tensor shape (${tensors[0].shape})`);\n\n    return concat(tensors, 0);\n  }\n\n  /**\n   * Scatter the values of a Tensor in specific indices of a TensorArray.\n   * @param indices nummber[] values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size().\n   * @param tensor Tensor input tensor.\n   */\n  scatter(indices: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n\n    if (indices.length !== tensor.shape[0]) {\n      throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${\n          indices.length} vs. ${tensor.shape[0]}`);\n    }\n\n    const maxIndex = Math.max(...indices);\n\n    if (!this.dynamicSize && maxIndex >= this.maxSize) {\n      throw new Error(\n          `Max index must be < array size (${maxIndex}  vs. ${this.maxSize})`);\n    }\n\n    this.writeMany(indices, unstack(tensor, 0));\n  }\n\n  /**\n   * Split the values of a Tensor into the TensorArray.\n   * @param length number[] with the lengths to use when splitting value along\n   *    its first dimension.\n   * @param tensor Tensor, the tensor to split.\n   */\n  split(length: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n    let totalLength = 0;\n    const cumulativeLengths = length.map(len => {\n      totalLength += len;\n      return totalLength;\n    });\n\n    if (totalLength !== tensor.shape[0]) {\n      throw new Error(`Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ${totalLength}, and tensor's shape is: ${tensor.shape}`);\n    }\n\n    if (!this.dynamicSize && length.length !== this.maxSize) {\n      throw new Error(\n          `TensorArray's size is not equal to the size of lengths (${\n              this.maxSize} vs. ${length.length}), ` +\n          'and the TensorArray is not marked as dynamically resizeable');\n    }\n\n    const elementPerRow = totalLength === 0 ? 0 : tensor.size / totalLength;\n    const tensors: Tensor[] = [];\n    tidy(() => {\n      tensor = tensor.reshape([1, totalLength, elementPerRow]);\n      for (let i = 0; i < length.length; ++i) {\n        const previousLength = (i === 0) ? 0 : cumulativeLengths[i - 1];\n        const indices = [0, previousLength, 0];\n        const sizes = [1, length[i], elementPerRow];\n        tensors[i] = slice(tensor, indices, sizes).reshape(this.elementShape);\n      }\n      return tensors;\n    });\n    const indices = [];\n    for (let i = 0; i < length.length; i++) {\n      indices[i] = i;\n    }\n    this.writeMany(indices, tensors);\n  }\n\n  /**\n   * This differs from util.assertShapesMatch in that it allows values of\n   * negative one, an undefined size of a dimensinon, in a shape to match\n   * anything.\n   */\n  private assertShapesMatchAllowUndefinedSize(\n      shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n    util.assert(\n        this.shapesEqualAllowUndefinedSize(shapeA, shapeB),\n        () =>\n            errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n  }\n\n  private shapesEqualAllowUndefinedSize(n1: number[], n2: number[]) {\n    if (n1.length !== n2.length) {\n      return false;\n    }\n    for (let i = 0; i < n1.length; i++) {\n      if (n1[i] !== -1 && n2[i] !== -1 && n1[i] !== n2[i]) {\n        return false;\n      }\n    }\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {TensorArray} from '../../executor/tensor_array';\nimport {Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport async function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> {\n  switch (node.op) {\n    case 'LoopCond':\n      return [\n        (getParamValue('pred', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'Switch': {\n      const pred =\n          getParamValue('pred', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor;\n      // Outputs nodes :0 => false, :1 => true\n      return (await pred.data())[0] ? [undefined, data.clone()] :\n                                      [data.clone(), undefined];\n    }\n    case 'Merge':\n      const inputName = node.inputNames.find(\n          name => getTensor(name, tensorMap, context) !== undefined);\n      return inputName ? [getTensor(inputName, tensorMap, context).clone()] :\n                         undefined;\n\n    case 'Enter':\n      const frameId =\n          getParamValue('frameName', node, tensorMap, context) as string;\n      const data =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.enterFrame(frameId);\n      return [data.clone()];\n\n    case 'Exit':\n      const tensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.exitFrame();\n      return [tensor.clone()];\n\n    case 'NextIteration':\n      const input =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.nextIteration();\n      return [input.clone()];\n\n    case 'TensorArrayV3':\n      const size = getParamValue('size', node, tensorMap, context) as number;\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const elementShape =\n          getParamValue('elementShape', node, tensorMap, context) as number[];\n      const dynamicSize =\n          getParamValue('dynamicSize', node, tensorMap, context) as boolean;\n      const clearAfterRead =\n          getParamValue('clearAfterRead', node, tensorMap, context) as boolean;\n      const identicalElementShapes =\n          getParamValue('identicalElementShapes', node, tensorMap, context) as\n          boolean;\n      const name = getParamValue('name', node, tensorMap, context) as string;\n      const tensorArray = new TensorArray(\n          name, dtype, size, elementShape, identicalElementShapes, dynamicSize,\n          clearAfterRead);\n      context.addTensorArray(tensorArray);\n      return [scalar(tensorArray.id), scalar(1.0)];\n\n    case 'TensorArrayWriteV3':\n      const id =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const index = getParamValue('index', node, tensorMap, context) as number;\n      const writeTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const writeTensorArray = context.getTensorArray(id);\n      writeTensorArray.write(index, writeTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayReadV3':\n      const readId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const readIndex =\n          getParamValue('index', node, tensorMap, context) as number;\n      const readTensorArray = context.getTensorArray(readId);\n      return [readTensorArray.read(readIndex)];\n\n    case 'TensorArrayGatherV3':\n      const gatherId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const gatherIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const gatherDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const gatherTensorArray = context.getTensorArray(gatherId);\n      return [gatherTensorArray.gather(gatherIndices, gatherDtype)];\n\n    case 'TensorArrayScatterV3':\n      const scatterId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const scatterIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const scatterTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const scatterTensorArray = context.getTensorArray(scatterId);\n      scatterTensorArray.scatter(scatterIndices, scatterTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayConcatV3':\n      const concatId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const concatTensorArray = context.getTensorArray(concatId);\n      const concatDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      return [concatTensorArray.concat(concatDtype)];\n\n    case 'TensorArraySplitV3':\n      const splitId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const splitTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const lengths =\n          getParamValue('lengths', node, tensorMap, context) as number[];\n      const splitTensorArray = context.getTensorArray(splitId);\n      splitTensorArray.split(lengths, splitTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArraySizeV3':\n      const sizeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const sizeTensorArray = context.getTensorArray(sizeId);\n      return [scalar(sizeTensorArray.size(), 'int32')];\n\n    case 'TensorArrayCloseV3':\n      const closeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const closeTensorArray = context.getTensorArray(closeId);\n      closeTensorArray.clearAndClose();\n      return [scalar(0)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n}\n\nexport const CATEGORY = 'control';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'Conv1D': {\n          const stride =\n              getParamValue('stride', node, tensorMap, context) as number;\n          const pad = getParamValue('pad', node, tensorMap, context);\n          const dataFormat =\n              (getParamValue('dataFormat', node, tensorMap, context) as string)\n                  .toUpperCase();\n          const dilation =\n              getParamValue('dilation', node, tensorMap, context) as number;\n          return [tfc.conv1d(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor3D,\n              getParamValue('filter', node, tensorMap, context) as tfc.Tensor3D,\n              stride, pad as 'valid' | 'same', dataFormat as 'NWC' | 'NCW',\n              dilation)];\n        }\n        case 'Conv2D': {\n          const stride =\n              getParamValue('strides', node, tensorMap, context) as number[];\n          const pad = getParamValue('pad', node, tensorMap, context);\n          const dataFormat =\n              (getParamValue('dataFormat', node, tensorMap, context) as string)\n                  .toUpperCase();\n          const dilations =\n              getParamValue('dilations', node, tensorMap, context) as number[];\n          return [tfc.conv2d(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n                  tfc.Tensor4D,\n              getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n              [stride[1], stride[2]], pad as 'valid' | 'same',\n              dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n        }\n        case '_FusedConv2D':\n        case 'FusedDepthwiseConv2dNative': {\n          const [extraOp, activationFunc] =\n              (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n          const isBiasAdd = extraOp === 'biasadd';\n          const isPrelu = activationFunc === 'prelu';\n          const isBatchNorm = extraOp === 'fusedbatchnorm';\n\n          const numArgs =\n              (getParamValue('numArgs', node, tensorMap, context) as number);\n          if (isBiasAdd) {\n            if (isPrelu && numArgs !== 2) {\n              throw new Error(\n                  'FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu ' +\n                  'must have two extra arguments: bias and alpha.');\n            }\n            if (!isPrelu && numArgs !== 1) {\n              throw new Error(\n                  'FusedConv2d and DepthwiseConv2d with BiasAdd must have ' +\n                  'one extra argument: bias.');\n            }\n          }\n          if (isBatchNorm) {\n            throw new Error(\n                'FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.');\n          }\n          const stride =\n              getParamValue('strides', node, tensorMap, context) as number[];\n          const pad = getParamValue('pad', node, tensorMap, context);\n          const dataFormat =\n              (getParamValue('dataFormat', node, tensorMap, context) as string)\n                  .toUpperCase();\n          const dilations =\n              getParamValue('dilations', node, tensorMap, context) as number[];\n          const [biasArg, preluArg] =\n              getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n          const kernelMethod = node.op === '_FusedConv2D' ?\n              tfc.fused.conv2d :\n              tfc.fused.depthwiseConv2d;\n          return [kernelMethod({\n            x: getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n                tfc.Tensor4D,\n            filter: getParamValue('filter', node, tensorMap, context) as\n                tfc.Tensor4D,\n            strides: [stride[1], stride[2]],\n            pad: pad as 'valid' | 'same',\n            dataFormat: dataFormat as 'NHWC' | 'NCHW',\n            dilations: [dilations[1], dilations[2]],\n            bias: biasArg,\n            activation: activationFunc as tfc.fused.Activation,\n            preluActivationWeights: preluArg\n          })];\n        }\n        case 'Conv2DBackpropInput':\n        case 'Conv2dTranspose': {\n          const shape = getParamValue(\n                            'outputShape', node, tensorMap,\n                            context) as [number, number, number] |\n              [number, number, number, number];\n          const stride =\n              getParamValue('strides', node, tensorMap, context) as number[];\n          const pad = getParamValue('pad', node, tensorMap, context);\n          return [tfc.conv2dTranspose(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n                  tfc.Tensor4D,\n              getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n              shape, [stride[1], stride[2]], pad as 'valid' | 'same')];\n        }\n        case 'DepthwiseConv2dNative':\n        case 'DepthwiseConv2d': {\n          const stride =\n              getParamValue('strides', node, tensorMap, context) as number[];\n          const pad = getParamValue('pad', node, tensorMap, context);\n          const dilations =\n              getParamValue('dilations', node, tensorMap, context) as number[];\n          const dataFormat =\n              (getParamValue('dataFormat', node, tensorMap, context) as string)\n                  .toUpperCase();\n\n          return [tfc.depthwiseConv2d(\n              getParamValue('input', node, tensorMap, context) as tfc.Tensor3D |\n                  tfc.Tensor4D,\n              getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n              [stride[1], stride[2]], pad as 'valid' | 'same',\n              dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n        }\n        case 'Conv3D': {\n          const stride =\n              getParamValue('strides', node, tensorMap, context) as number[];\n          const pad = getParamValue('pad', node, tensorMap, context);\n          const dataFormat =\n              (getParamValue('dataFormat', node, tensorMap, context) as string)\n                  .toUpperCase();\n          const dilations =\n              getParamValue('dilations', node, tensorMap, context) as number[];\n          return [tfc.conv3d(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor4D |\n                  tfc.Tensor<tfc.Rank.R5>,\n              getParamValue('filter', node, tensorMap, context) as\n                  tfc.Tensor<tfc.Rank.R5>,\n              [stride[1], stride[2], stride[3]], pad as 'valid' | 'same',\n              dataFormat as 'NDHWC' | 'NCDHW',\n              [dilations[1], dilations[2], dilations[3]])];\n        }\n\n        case 'AvgPool': {\n          const stride =\n              getParamValue('strides', node, tensorMap, context) as number[];\n          const pad = getParamValue('pad', node, tensorMap, context);\n          const kernelSize =\n              getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n          return [tfc.avgPool(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n                  tfc.Tensor4D,\n              [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n              pad as 'valid' | 'same')];\n        }\n\n        case 'MaxPool': {\n          const stride =\n              getParamValue('strides', node, tensorMap, context) as number[];\n          const pad = getParamValue('pad', node, tensorMap, context);\n          const kernelSize =\n              getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n          return [tfc.maxPool(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n                  tfc.Tensor4D,\n              [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n              pad as 'valid' | 'same')];\n        }\n\n        case 'AvgPool3D': {\n          const stride =\n              getParamValue('strides', node, tensorMap, context) as number[];\n          const pad = getParamValue('pad', node, tensorMap, context);\n          const kernelSize =\n              getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n          return [tfc.avgPool3d(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n              [kernelSize[1], kernelSize[2], kernelSize[3]],\n              [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n        }\n\n        case 'MaxPool3D': {\n          const stride =\n              getParamValue('strides', node, tensorMap, context) as number[];\n          const pad = getParamValue('pad', node, tensorMap, context);\n          const kernelSize =\n              getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n          return [tfc.maxPool3d(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n              [kernelSize[1], kernelSize[2], kernelSize[3]],\n              [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n        }\n\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'convolution';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Fill': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const value = getParamValue('value', node, tensorMap, context) as number;\n      return [tfc.fill(shape, value, dtype)];\n    }\n    case 'LinSpace': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const num = getParamValue('num', node, tensorMap, context) as number;\n      return [tfc.linspace(start, stop, num)];\n    }\n    case 'Multinomial': {\n      const logits =\n          getParamValue('logits', node, tensorMap, context) as tfc.Tensor1D;\n      const numSamples =\n          getParamValue('numSamples', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.multinomial(logits, numSamples, seed)];\n    }\n    case 'OneHot': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      const depth = getParamValue('depth', node, tensorMap, context) as number;\n      const onValue =\n          getParamValue('onValue', node, tensorMap, context) as number;\n      const offValue =\n          getParamValue('offValue', node, tensorMap, context) as number;\n      return [tfc.oneHot(indices, depth, onValue, offValue)];\n    }\n    case 'Ones': {\n      return [tfc.ones(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'OnesLike': {\n      return [tfc.onesLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'RandomUniform': {\n      return [tfc.randomUniform(\n          // tslint:disable-next-line:no-any\n          getParamValue('shape', node, tensorMap, context) as any,\n          getParamValue('minval', node, tensorMap, context) as number,\n          getParamValue('maxval', node, tensorMap, context) as number,\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'Range': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const step = getParamValue('step', node, tensorMap, context) as number;\n      return [tfc.range(\n          start, stop, step,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32')];\n    }\n    case 'TruncatedNormal': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const mean = getParamValue('mean', node, tensorMap, context) as number;\n      const stdDev =\n          getParamValue('stdDev', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.truncatedNormal(\n          shape, mean, stdDev,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32',\n          seed)];\n    }\n    case 'Zeros': {\n      return [tfc.zeros(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'ZerosLike': {\n      return [tfc.zerosLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'creation';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {Node} from '../types';\nimport {getParamValue} from './utils';\n\nexport async function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> {\n  switch (node.op) {\n    case 'NonMaxSuppressionV5':\n    case 'NonMaxSuppressionV3':\n    case 'NonMaxSuppressionV2': {\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const scores =\n          getParamValue('scores', node, tensorMap, context) as tfc.Tensor;\n      const maxOutputSize =\n          getParamValue('maxOutputSize', node, tensorMap, context) as number;\n      const iouThreshold =\n          getParamValue('iouThreshold', node, tensorMap, context) as number;\n      const scoreThreshold =\n          getParamValue('scoreThreshold', node, tensorMap, context) as number;\n\n      if (node.op === 'NonMaxSuppressionV5') {\n        const softNmsSigma =\n            getParamValue('softNmsSigma', node, tensorMap, context) as number;\n\n        const result = await tfc.image.nonMaxSuppressionWithScoreAsync(\n            boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n            iouThreshold, scoreThreshold, softNmsSigma);\n\n        return [result.selectedIndices, result.selectedScores];\n      }\n\n      return [await tfc.image.nonMaxSuppressionAsync(\n          boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n          iouThreshold, scoreThreshold)];\n    }\n    case 'Where': {\n      return [await tfc.whereAsync(\n          (getParamValue('condition', node, tensorMap, context) as tfc.Tensor)\n              .asType('bool'))];\n    }\n    case 'ListDiff': {\n      return tfc.setdiff1dAsync(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor);\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n}\n\nexport const CATEGORY = 'dynamic';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'TopKV2': {\n          const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n          const k = getParamValue('k', node, tensorMap, context) as number;\n          const sorted =\n              getParamValue('sorted', node, tensorMap, context) as boolean;\n          const result = tfc.topk(x, k, sorted);\n          return [result.values, result.indices];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'evaluation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Const': {\n      return tensorMap[node.name];\n    }\n    case 'PlaceholderWithDefault':\n      const def =\n          getParamValue('default', node, tensorMap, context) as tfc.Tensor;\n      return [getTensor(node.name, tensorMap, context) || def];\n    case 'Placeholder':\n      return [getTensor(node.name, tensorMap, context)];\n    case 'Identity':\n    case 'StopGradient':\n    case 'FakeQuantWithMinMaxVars':  // This op is currently ignored.\n      return [\n        (getParamValue('x', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'IdentityN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => t.clone());\n    case 'Snapshot':\n      const snapshot =\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor);\n      return [snapshot.clone()];\n    case 'Shape':\n      return [tfc.tensor1d(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).shape,\n          'int32')];\n    case 'ShapeN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => tfc.tensor1d(t.shape));\n    case 'Size':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).size,\n          'int32')];\n    case 'Rank':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).rank,\n          'int32')];\n    case 'NoOp':\n      return [tfc.scalar(1)];\n    case 'Print':\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor[];\n      const message =\n          getParamValue('message', node, tensorMap, context) as string;\n      const summarize =\n          getParamValue('summarize', node, tensorMap, context) as number;\n      console.warn(\n          'The graph has a tf.print() operation,' +\n          'usually used for debugging, which slows down performance.');\n      console.log(message);\n      for (let i = 0; i < data.length; i++) {\n        console.log(\n            Array.prototype.slice.call(data[i].dataSync()).slice(0, summarize));\n      }\n      return [input];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'graph';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ResizeBilinear': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeBilinear(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'ResizeNearestNeighbor': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeNearestNeighbor(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'CropAndResize': {\n      const image =\n          getParamValue('image', node, tensorMap, context) as tfc.Tensor;\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const boxInd =\n          getParamValue('boxInd', node, tensorMap, context) as tfc.Tensor;\n      const cropSize =\n          getParamValue('cropSize', node, tensorMap, context) as number[];\n      const method =\n          getParamValue('method', node, tensorMap, context) as string;\n      const extrapolationValue =\n          getParamValue('extrapolationValue', node, tensorMap, context) as\n          number;\n      return [tfc.image.cropAndResize(\n          image as tfc.Tensor4D, boxes as tfc.Tensor2D, boxInd as tfc.Tensor1D,\n          cropSize as [number, number], method as 'bilinear' | 'nearest',\n          extrapolationValue)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'image';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Equal': {\n      return [tfc.equal(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'NotEqual': {\n      return [tfc.notEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Greater': {\n      return [tfc.greater(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'GreaterEqual': {\n      return [tfc.greaterEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Less': {\n      return [tfc.less(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LessEqual': {\n      return [tfc.lessEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalAnd': {\n      return [tfc.logicalAnd(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalNot': {\n      return [tfc.logicalNot(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalOr': {\n      return [tfc.logicalOr(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Select': {\n      return [tfc.where(\n          getParamValue('condition', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'logical';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BatchMatMul':\n    case 'BatchMatMulV2':\n    case 'MatMul':\n      return [tfc.matMul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('transposeA', node, tensorMap, context) as boolean,\n          getParamValue('transposeB', node, tensorMap, context) as boolean)];\n\n    case 'Transpose':\n      return [tfc.transpose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('perm', node, tensorMap, context) as number[])];\n\n    case '_FusedMatMul':\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'Fused MatMul with BiasAdd and Prelu must have two ' +\n              'extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'Fused MatMul with BiasAdd must have one extra argument: bias.');\n        }\n      }\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      return [tfc.fused.matMul({\n        a: getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n        b: getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n        transposeA: getParamValue('transposeA', node, tensorMap, context) as\n            boolean,\n        transposeB: getParamValue('transposeB', node, tensorMap, context) as\n            boolean,\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'matrices';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'FusedBatchNorm':\n    case 'FusedBatchNormV2': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'FusedBatchNormV3': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'LRN': {\n      return [tfc.localResponseNormalization(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('radius', node, tensorMap, context) as number,\n          getParamValue('bias', node, tensorMap, context) as number,\n          getParamValue('alpha', node, tensorMap, context) as number,\n          getParamValue('beta', node, tensorMap, context) as number)];\n    }\n    case 'Softmax': {\n      return [tfc.softmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogSoftmax': {\n      return [tfc.logSoftmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SparseToDense': {\n      return [tfc.sparseToDense(\n          getParamValue('sparseIndices', node, tensorMap, context) as\n              tfc.Tensor,\n          getParamValue('outputShape', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('sparseValues', node, tensorMap, context) as number[],\n          getParamValue('defaultValue', node, tensorMap, context) as\n              tfc.Scalar)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'normalization';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Max': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.max(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Mean': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.mean(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Min': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.min(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Sum': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.sum(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'All': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.all(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Any': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.any(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'ArgMax': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'ArgMin': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Prod': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'reduction';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ConcatV2':\n    case 'Concat': {\n      const n = getParamValue('n', node, tensorMap, context) as number;\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      let inputs =\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n      inputs = inputs.slice(0, n);\n      return [tfc.concat(inputs, axis)];\n    }\n    case 'GatherV2':\n    case 'Gather': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      return [tfc.gather(input, indices.asType('int32'), axis)];\n    }\n    case 'ReverseV2':\n    case 'Reverse': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.reverse(input, axis)];\n    }\n    case 'Slice': {\n      // tslint:disable-next-line:no-any\n      const begin = getParamValue('begin', node, tensorMap, context) as any;\n      // tslint:disable-next-line:no-any\n      const size = getParamValue('size', node, tensorMap, context) as any;\n      return [tfc.slice(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, begin,\n          size)];\n    }\n    case 'StridedSlice': {\n      const begin =\n          getParamValue('begin', node, tensorMap, context) as number[];\n      const end = getParamValue('end', node, tensorMap, context) as number[];\n      const strides =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const beginMask =\n          getParamValue('beginMask', node, tensorMap, context) as number;\n      const endMask =\n          getParamValue('endMask', node, tensorMap, context) as number;\n      const ellipsisMask =\n          getParamValue('ellipsisMask', node, tensorMap, context) as number;\n      const newAxisMask =\n          getParamValue('newAxisMask', node, tensorMap, context) as number;\n      const shrinkAxisMask =\n          getParamValue('shrinkAxisMask', node, tensorMap, context) as number;\n      const tensor = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      if (begin.length === 1 && tensor.shape.length > 1) {\n        for (let i = 1; i < tensor.shape.length; i++) {\n          begin.push(0);\n          end.push(tensor.shape[i]);\n          strides.push(strides[0]);\n        }\n      }\n      return [tfc.stridedSlice(\n          tensor, begin, end, strides, beginMask, endMask, ellipsisMask,\n          newAxisMask, shrinkAxisMask)];\n    }\n    case 'Pack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensors =\n            getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n        // Reshape the tensors to the first tensor's shape if they don't match.\n        const shape = tensors[0].shape;\n        const squeezedShape = tensors[0].squeeze().shape;\n        const mapped = tensors.map(tensor => {\n          const sameShape = tfc.util.arraysEqual(tensor.shape, shape);\n          if (!sameShape &&\n              !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {\n            throw new Error('the input tensors shape does not match');\n          }\n          return sameShape ? tensor : tensor.reshape(shape);\n        });\n        return [tfc.stack(mapped, axis)];\n      });\n    }\n    case 'Unpack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensor =\n            getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n        return tfc.unstack(tensor, axis);\n      });\n    }\n    case 'Tile': {\n      const reps = getParamValue('reps', node, tensorMap, context) as number[];\n      return [tfc.tile(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, reps)];\n    }\n    case 'Split':\n    case 'SplitV': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const numOrSizeSplits =\n          getParamValue('numOrSizeSplits', node, tensorMap, context) as number |\n          number[];\n      return tfc.split(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          numOrSizeSplits, axis);\n    }\n    case 'ScatterNd': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      const values =\n          getParamValue('values', node, tensorMap, context) as tfc.Tensor;\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      return [tfc.scatterND(indices, values, shape)];\n    }\n    case 'GatherNd': {\n      const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.gatherND(x, indices)];\n    }\n    case 'SparseToDense': {\n      const indices =\n          getParamValue('sparseIndices', node, tensorMap, context) as\n          tfc.Tensor;\n      const shape =\n          getParamValue('outputShape', node, tensorMap, context) as number[];\n      const sparseValues =\n          getParamValue('sparseValues', node, tensorMap, context) as tfc.Tensor;\n      const defaultValue =\n          getParamValue('defaultValue', node, tensorMap, context) as tfc.Scalar;\n      return [tfc.sparseToDense(\n          indices, sparseValues, shape,\n          sparseValues.dtype === defaultValue.dtype ?\n              defaultValue :\n              defaultValue.asType(sparseValues.dtype))];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'slice_join';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'FFT': {\n          return [tfc.fft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IFFT': {\n          return [tfc.ifft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'RFFT': {\n          return [tfc.rfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IRFFT': {\n          return [tfc.irfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'spectral';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, split} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Cast': {\n      return [tfc.cast(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('dtype', node, tensorMap, context) as 'int32' |\n              'float32' | 'bool')];\n    }\n    case 'ExpandDims': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.expandDims(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Squeeze': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      return [tfc.squeeze(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n\n    case 'Reshape': {\n      return [tfc.reshape(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('shape', node, tensorMap, context) as number[])];\n    }\n    case 'PadV2':\n    case 'Pad': {\n      return [tfc.pad(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          split(\n              getParamValue('padding', node, tensorMap, context) as number[],\n              2) as Array<[number, number]>,\n          getParamValue('constantValue', node, tensorMap, context) as number)];\n    }\n    case 'SpaceToBatchND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const paddings = split(\n          getParamValue('paddings', node, tensorMap, context) as number[], 2);\n      return [tfc.spaceToBatchND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, paddings)];\n    }\n    case 'BatchToSpaceND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const crops = split(\n          getParamValue('crops', node, tensorMap, context) as number[], 2);\n      return [tfc.batchToSpaceND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, crops)];\n    }\n    case 'DepthToSpace': {\n      const blockSize =\n          getParamValue('blockSize', node, tensorMap, context) as number;\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as\n           string).toUpperCase() as 'NHWC' |\n          'NCHW';\n      return [tfc.depthToSpace(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          blockSize, dataFormat)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'transformation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {ExecutionContext} from '../executor/execution_context';\n\nimport {NodeValueImpl} from './custom_op/node_value_impl';\nimport {getRegisteredOp} from './custom_op/register';\nimport * as arithmetic from './executors/arithmetic_executor';\nimport * as basicMath from './executors/basic_math_executor';\nimport * as control from './executors/control_executor';\nimport * as convolution from './executors/convolution_executor';\nimport * as creation from './executors/creation_executor';\nimport * as dynamic from './executors/dynamic_executor';\nimport * as evaluation from './executors/evaluation_executor';\nimport * as graph from './executors/graph_executor';\nimport * as image from './executors/image_executor';\nimport * as logical from './executors/logical_executor';\nimport * as matrices from './executors/matrices_executor';\nimport * as normalization from './executors/normalization_executor';\nimport * as reduction from './executors/reduction_executor';\nimport * as sliceJoin from './executors/slice_join_executor';\nimport * as spectral from './executors/spectral_executor';\nimport * as transformation from './executors/transformation_executor';\nimport {Node} from './types';\n\n/**\n * Executes the op defined by the node object.\n * @param node\n * @param tensorMap contains tensors for executed nodes and weights\n */\nexport function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[]|Promise<tfc.Tensor[]> {\n  const value =\n      ((node: Node, tensorMap: NamedTensorsMap, context: ExecutionContext) => {\n        switch (node.category) {\n          case 'arithmetic':\n            return arithmetic.executeOp(node, tensorMap, context);\n          case 'basic_math':\n            return basicMath.executeOp(node, tensorMap, context);\n          case 'control':\n            return control.executeOp(node, tensorMap, context);\n          case 'convolution':\n            return convolution.executeOp(node, tensorMap, context);\n          case 'creation':\n            return creation.executeOp(node, tensorMap, context);\n          case 'dynamic':\n            return dynamic.executeOp(node, tensorMap, context);\n          case 'evaluation':\n            return evaluation.executeOp(node, tensorMap, context);\n          case 'image':\n            return image.executeOp(node, tensorMap, context);\n          case 'graph':\n            return graph.executeOp(node, tensorMap, context);\n          case 'logical':\n            return logical.executeOp(node, tensorMap, context);\n          case 'matrices':\n            return matrices.executeOp(node, tensorMap, context);\n          case 'normalization':\n            return normalization.executeOp(node, tensorMap, context);\n          case 'reduction':\n            return reduction.executeOp(node, tensorMap, context);\n          case 'slice_join':\n            return sliceJoin.executeOp(node, tensorMap, context);\n          case 'spectral':\n            return spectral.executeOp(node, tensorMap, context);\n          case 'transformation':\n            return transformation.executeOp(node, tensorMap, context);\n          case 'custom':\n            const opMapper = getRegisteredOp(node.op);\n            if (opMapper && opMapper.customExecutor) {\n              return opMapper.customExecutor(\n                  new NodeValueImpl(node, tensorMap, context));\n            } else {\n              throw TypeError(`Custom op ${node.op} is not registered.`);\n            }\n          default:\n            throw TypeError(\n                `Unknown op '${node.op}'. File an issue at ` +\n                `https://github.com/tensorflow/tfjs/issues so we can add it` +\n                `, or register a custom execution with tf.registerOp()`);\n        }\n      })(node, tensorMap, context);\n  if (value instanceof Promise) {\n    return value.then((data) => [].concat(data));\n  }\n  return [].concat(value);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap, TensorArrayMap} from '../data/types';\n\nimport {TensorArray} from './tensor_array';\n\nexport interface ExecutionContextInfo {\n  id: number;           // the unique id of the context info\n  frameName: string;    // The frame name of the loop, this comes from\n                        // the TensorFlow NodeDef.\n  iterationId: number;  // The iteration id of the loop\n}\n\n/**\n * ExecutionContext captures the runtime environment of the node. It keeps\n * track of the current frame and iteration for the control flow ops.\n *\n * For example, typical Dynamic RNN model may contain loops, for which\n * TensorFlow will generate graphs with Enter/Exit nodes to control the\n * current execution frame, and NextIteration Nodes for iteration id increment.\n * For model with branch logic, TensorFLow will generate Switch/Merge ops.\n */\nexport class ExecutionContext {\n  private rootContext = {id: 0, frameName: '', iterationId: 0};\n  private contexts: ExecutionContextInfo[] = [this.rootContext];\n  private lastId = 0;\n  private _currentContextIds: string[];\n\n  constructor(\n      public readonly weightMap: NamedTensorsMap,\n      public readonly tensorArrayMap: TensorArrayMap) {\n    this.generateCurrentContextIds();\n  }\n\n  private newFrame(id: number, frameName: string) {\n    return {id, frameName, iterationId: 0};\n  }\n\n  /**\n   * Set the current context\n   * @param contexts: ExecutionContextInfo[] the current path of execution\n   * frames\n   */\n  set currentContext(contexts: ExecutionContextInfo[]) {\n    if (this.contexts !== contexts) {\n      this.contexts = contexts;\n      this.generateCurrentContextIds();\n    }\n  }\n\n  get currentContext(): ExecutionContextInfo[] {\n    return this.contexts;\n  }\n\n  /**\n   * Returns the current context in string format.\n   */\n  get currentContextId(): string {\n    return this._currentContextIds[0];\n  }\n\n  /**\n   * Returns the current context and all parent contexts in string format.\n   * This allow access to the nodes in the current and parent frames.\n   */\n  get currentContextIds(): string[] {\n    return this._currentContextIds;\n  }\n\n  private generateCurrentContextIds() {\n    const names = [];\n    for (let i = 0; i < this.contexts.length - 1; i++) {\n      const contexts = this.contexts.slice(0, this.contexts.length - i);\n      names.push(this.contextIdforContexts(contexts));\n    }\n    names.push('');\n    this._currentContextIds = names;\n  }\n\n  private contextIdforContexts(contexts: ExecutionContextInfo[]) {\n    return contexts ?\n        contexts\n            .map(\n                context => (context.id === 0 && context.iterationId === 0) ?\n                    '' :\n                    `${context.frameName}-${context.iterationId}`)\n            .join('/') :\n        '';\n  }\n\n  /**\n   * Enter a new frame, a new context is pushed on the current context list.\n   * @param frameId new frame id\n   */\n  enterFrame(frameId: string) {\n    if (this.contexts) {\n      this.lastId++;\n      this.contexts = this.contexts.slice();\n      this.contexts.push(this.newFrame(this.lastId, frameId));\n      this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));\n    }\n  }\n\n  /**\n   * Exit the current frame, the last context is removed from the current\n   * context list.\n   */\n  exitFrame() {\n    if (this.contexts && this.contexts.length > 1) {\n      this.contexts = this.contexts.slice();\n      this.contexts.splice(-1);\n      this.currentContextIds.shift();\n    } else {\n      throw new Error('Cannot exit frame, the context is empty');\n    }\n  }\n\n  /**\n   * Enter the next iteration of a loop, the iteration id of last context is\n   * increased.\n   */\n  nextIteration() {\n    if (this.contexts && this.contexts.length > 0) {\n      this.contexts = this.contexts.slice();\n      this.lastId++;\n      const context =\n          Object.assign({}, this.contexts[this.contexts.length - 1]);\n      context.iterationId += 1;\n      context.id = this.lastId;\n      this.contexts.splice(-1, 1, context);\n      this._currentContextIds.splice(\n          0, 1, this.contextIdforContexts(this.contexts));\n    } else {\n      throw new Error('Cannot increase frame iteration, the context is empty');\n    }\n  }\n\n  getWeight(name: string): Tensor[] {\n    return this.weightMap[name];\n  }\n\n  addTensorArray(tensorArray: TensorArray) {\n    this.tensorArrayMap[tensorArray.id] = tensorArray;\n  }\n\n  getTensorArray(id: number): TensorArray {\n    return this.tensorArrayMap[id];\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorMap} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {parseNodeName} from '../operations/executors/utils';\nimport {Graph, Node} from '../operations/types';\n\nexport interface ExecutionInfo {\n  inputs: NamedTensorMap;\n  outputs: Node[];\n  usedNodes: Set<string>;\n  missingInputs: string[];\n  dynamicNode: Node;\n  syncInputs: string[];\n}\n\n/**\n * Given graph inputs and desired outputs, find the minimal set of nodes\n * to execute in order to compute the outputs. In addition return other useful\n * info such:\n * - Missing inputs needed to compute the output.\n * - Whether the subgraph contains dynamic ops (control flow, dynamic shape).\n * - Alternative inputs in order to avoid async (dynamic op) execution.\n */\nexport function getExecutionSubgraph(\n    inputs: NamedTensorMap, outputs: Node[],\n    weightMap: NamedTensorsMap): ExecutionInfo {\n  const usedNodes = new Set<string>();\n  const missingInputs: string[] = [];\n  let dynamicNode: Node = null;\n  let syncInputs: string[] = null;\n\n  // Start with the outputs, going backwards and find all the nodes that are\n  // needed to compute those outputs.\n  const seen = new Set<string>();\n  const inputNodeNames =\n      Object.keys(inputs).map(name => parseNodeName(name)[0]);\n  const frontier = [...outputs];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    if (isControlFlow(node) || isDynamicShape(node)) {\n      if (dynamicNode == null) {\n        dynamicNode = node;\n        syncInputs = dynamicNode.children.map(child => child.name)\n                         .filter(name => usedNodes.has(name));\n      }\n    }\n    usedNodes.add(node.name);\n\n    // Weights are dead end since we already have their values.\n    if (weightMap[node.name] != null) {\n      continue;\n    }\n    // This node is a dead end since it's one of the user-provided inputs.\n\n    if (inputNodeNames.indexOf(node.name) !== -1) {\n      continue;\n    }\n    if (node.inputs.length === 0) {\n      missingInputs.push(node.name);\n      continue;\n    }\n    node.inputs.forEach(input => {\n      // Don't add to the frontier if it is already there.\n      if (seen.has(input.name)) {\n        return;\n      }\n      seen.add(input.name);\n      frontier.push(input);\n    });\n  }\n  return {inputs, outputs, usedNodes, missingInputs, dynamicNode, syncInputs};\n}\n\n/**\n * Given the execution info, return a list of nodes in topological order that\n * need to be executed to compute the output.\n */\nexport function getNodesInTopologicalOrder(\n    graph: Graph, weightMap: NamedTensorsMap,\n    executionInfo: ExecutionInfo): Node[] {\n  const {usedNodes, inputs} = executionInfo;\n  const frontier: Node[] = [];\n  const inputNodes = Object.keys(inputs)\n                         .map(name => parseNodeName(name)[0])\n                         .map(name => graph.nodes[name]);\n  inputNodes.forEach(input => {\n    if (usedNodes.has(input.name)) {\n      frontier.push(input);\n    }\n  });\n  graph.weights.forEach(weight => {\n    if (usedNodes.has(weight.name)) {\n      frontier.push(weight);\n    }\n  });\n  const seen = new Set<string>();\n  const orderedNodes: Node[] = [];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    seen.add(node.name);\n    if (!weightMap[node.name]) {\n      orderedNodes.push(node);\n    }\n    node.children.forEach(child => {\n      if (!seen.has(child.name) && usedNodes.has(child.name) &&\n          child.inputs.every(input => seen.has(input.name))) {\n        frontier.push(child);\n      }\n    });\n  }\n  return orderedNodes;\n}\n\nconst CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];\nconst DYNAMIC_SHAPE_OPS = [\n  'NonMaxSuppressionV2', 'NonMaxSuppressionV3', 'NonMaxSuppressionV5', 'Where'\n];\n\nexport function isControlFlow(node: Node) {\n  return CONTROL_FLOW_OPS.indexOf(node.op) >= 0;\n}\n\nexport function isDynamicShape(node: Node) {\n  return DYNAMIC_SHAPE_OPS.indexOf(node.op) >= 0;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NamedTensorMap, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {ISignatureDef} from '../data/compiled_api';\nimport {NamedTensorsMap, TensorArrayMap, TensorInfo} from '../data/types';\nimport {getNodeNameAndIndex, getParamValue, getTensor, getTensorsForCurrentContenxt, parseNodeName} from '../operations/executors/utils';\nimport {executeOp} from '../operations/operation_executor';\nimport {Graph, Node} from '../operations/types';\n\nimport {ExecutionContext, ExecutionContextInfo} from './execution_context';\nimport {getExecutionSubgraph, getNodesInTopologicalOrder, isControlFlow} from './model_analysis';\n\ninterface NodeWithContexts {\n  contexts: ExecutionContextInfo[];\n  node: Node;\n}\n\nexport class GraphExecutor {\n  private compiledMap: Map<string, Node[]> = new Map();\n  private _weightMap: NamedTensorsMap = {};\n  private weightIds: number[];\n  private _signature: ISignatureDef;\n  private _inputs: Node[];\n  private _outputs: Node[];\n  private SEPERATOR = ',';\n  get weightMap(): NamedTensorsMap {\n    return this._weightMap;\n  }\n  set weightMap(weightMap: NamedTensorsMap) {\n    const weightIds = Object.keys(weightMap).map(\n        key => weightMap[key].map(tensor => tensor.id));\n    this.weightIds = [].concat(...weightIds);\n    this._weightMap = weightMap;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this._inputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get outputs(): TensorInfo[] {\n    return this._outputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get inputNodes(): string[] {\n    return this._inputs.map(node => node.signatureKey || node.name);\n  }\n\n  get outputNodes(): string[] {\n    return this._outputs.map(node => node.signatureKey || node.name);\n  }\n\n  constructor(private graph: Graph) {\n    this._outputs = graph.outputs;\n    this._inputs = graph.inputs;\n    this._signature = graph.signature;\n  }\n\n  private getCompilationKey(inputs: Node[], outputs: Node[]): string {\n    const sortedInputs = inputs.map(node => node.name).sort();\n    const sortedOutputs = outputs.map(node => node.name).sort();\n    return sortedInputs.join(this.SEPERATOR) + '--' +\n        sortedOutputs.join(this.SEPERATOR);\n  }\n\n  /**\n   * Compiles the inference graph and returns the minimal set of nodes that are\n   * required for execution, in the correct execution order.\n   */\n  private compile(inputs: NamedTensorMap, outputs: Node[]): Node[] {\n    const executionInfo = getExecutionSubgraph(inputs, outputs, this.weightMap);\n    const {missingInputs, dynamicNode, syncInputs} = executionInfo;\n    if (dynamicNode != null) {\n      throw new Error(\n          `This execution contains the node '${dynamicNode.name}', which has ` +\n          `the dynamic op '${dynamicNode.op}'. Please use ` +\n          `model.executeAsync() instead. Alternatively, to avoid the ` +\n          `dynamic ops, specify the inputs [${syncInputs}]`);\n    }\n\n    if (missingInputs.length > 0) {\n      const outNames = outputs.map(n => n.name);\n      const inNames = Object.keys(inputs);\n      throw new Error(\n          `Cannot compute the outputs [${outNames}] from the provided inputs ` +\n          `[${inNames}]. Missing the following inputs: [${missingInputs}]`);\n    }\n\n    return getNodesInTopologicalOrder(\n        this.graph, this.weightMap, executionInfo);\n  }\n\n  /**\n   * Executes the inference for given input tensors.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  execute(inputs: NamedTensorMap, outputs: string[]): Tensor[] {\n    inputs = this.mapInputs(inputs);\n    const names = Object.keys(inputs).sort();\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputs.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const compilationKey = this.getCompilationKey(inputNodes, outputNodes);\n    // Do nothing if the compiled graph cache contains the input.\n    let orderedNodes = this.compiledMap.get(compilationKey);\n    if (orderedNodes == null) {\n      orderedNodes = this.compile(inputs, outputNodes);\n      this.compiledMap.set(compilationKey, orderedNodes);\n    }\n    const tensorArrayMap: TensorArrayMap = {};\n    return tidy(() => {\n      const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n      const tensorsMap: NamedTensorsMap = {...this.weightMap};\n      Object.keys(inputs).forEach(name => {\n        const [nodeName, index] = parseNodeName(name);\n        const tensors: Tensor[] = [];\n        tensors[index] = inputs[name];\n        tensorsMap[nodeName] = tensors;\n      });\n      const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n      const intermediateTensorConsumerCount: {[key: number]: number} = {};\n      for (let i = 0; i < orderedNodes.length; i++) {\n        const node = orderedNodes[i];\n        if (!tensorsMap[node.name]) {\n          const tensors = executeOp(node, tensorsMap, context) as Tensor[];\n          if (tensors instanceof Promise) {\n            throw new Error(\n                `The execution of the op '${node.op}' returned a promise. ` +\n                `Please use model.executeAsync() instead.`);\n          }\n          tensorsMap[node.name] = tensors;\n          this.checkTensorForDisposal(\n              node.name, node, tensorsMap, context, tensorsToKeep, outputs,\n              intermediateTensorConsumerCount);\n        }\n      }\n      return outputs.map(name => getTensor(name, tensorsMap, context));\n    });\n  }\n\n  private getFrozenTensorIds(tensorMap: NamedTensorsMap): Set<number> {\n    const ids = [].concat.apply(\n        [],\n        Object.keys(tensorMap)\n            .map(key => tensorMap[key])\n            .map(tensors => tensors.map(tensor => tensor.id)));\n    return new Set(ids);\n  }\n  private checkTensorForDisposal(\n      nodeName: string, node: Node, tensorMap: NamedTensorsMap,\n      context: ExecutionContext, tensorsToKeep: Set<number>,\n      outputNames: string[],\n      intermediateTensorConsumerCount: {[key: string]: number}) {\n    // Skip output nodes and any control flow nodes, since its dependency is\n    // tricky to track correctly.\n    if (node.category === 'control' || outputNames.indexOf(nodeName) !== -1) {\n      return;\n    }\n\n    tensorMap[nodeName].forEach(tensor => {\n      if (tensor != null) {\n        intermediateTensorConsumerCount[tensor.id] =\n            (intermediateTensorConsumerCount[tensor.id] || 0) +\n            node.children.length;\n      }\n    });\n    node.inputs.forEach(input => {\n      // Skip any control flow nodes, since its dependency is tricky to track\n      // correctly.\n      if (input.category !== 'control') {\n        const tensors =\n            getTensorsForCurrentContenxt(input.name, tensorMap, context);\n        if (tensors != null) {\n          tensors.forEach(tensor => {\n            if (tensor && !tensorsToKeep.has(tensor.id)) {\n              const count = intermediateTensorConsumerCount[tensor.id];\n              if (count === 1) {\n                tensor.dispose();\n                delete intermediateTensorConsumerCount[tensor.id];\n              } else if (count != null) {\n                // only intermediate nodes has count set, inputs and weights are\n                // not.\n                intermediateTensorConsumerCount[tensor.id]--;\n              }\n            }\n          });\n        }\n      }\n    });\n  }\n  /**\n   * Executes the inference for given input tensors in Async fashion.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  async executeAsync(inputs: NamedTensorMap, outputs: string[]):\n      Promise<Tensor[]> {\n    inputs = this.mapInputs(inputs);\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const tensorArrayMap: TensorArrayMap = {};\n    const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n    // Graph with control flow op requires runtime evaluation of the execution\n    // order, while without control flow the execution order is pre-determined\n    // in the compile method.\n    const tensorMap =\n        await this.executeWithControlFlow(inputs, context, outputs);\n    const results = outputs.map(name => getTensor(name, tensorMap, context));\n\n    // dispose all the intermediate tensors\n    const outputIds = new Set<number>(results.map(t => t.id));\n    const inputIds =\n        new Set<number>(Object.keys(inputs).map(name => inputs[name].id));\n    Object.keys(tensorMap).forEach(key => {\n      const tensorArray = tensorMap[key];\n      tensorArray.forEach(tensor => {\n        if (tensor && !tensor.isDisposed && !outputIds.has(tensor.id) &&\n            !inputIds.has(tensor.id) &&\n            this.weightIds.indexOf(tensor.id) === -1) {\n          tensor.dispose();\n        }\n      });\n    });\n    return results;\n  }\n\n  /**\n   * When there are control flow nodes in the graph, the graph execution use\n   * ExecutionContext to keep track of the frames and loop iterators.\n   * @param inputs placeholder tensors for the graph.\n   * @param context the execution context object for current execution.\n   */\n  private async executeWithControlFlow(\n      inputs: NamedTensorMap, context: ExecutionContext,\n      outputNames: string[]): Promise<NamedTensorsMap> {\n    const names = Object.keys(inputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputNames.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const {usedNodes, missingInputs, dynamicNode, syncInputs} =\n        getExecutionSubgraph(inputs, outputNodes, this.weightMap);\n\n    const stack: NodeWithContexts[] =\n        [...inputNodes, ...this.graph.weights].map(node => {\n          return {node, contexts: context.currentContext};\n        });\n    const tensorsMap: NamedTensorsMap = {...this.weightMap};\n    Object.keys(inputs).forEach(name => {\n      const [nodeName, index] = parseNodeName(name);\n      const tensors: Tensor[] = [];\n      tensors[index] = inputs[name];\n      tensorsMap[nodeName] = tensors;\n    });\n    const intermediateTensorConsumerCount: {[key: number]: number} = {};\n    const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n    const added: {[key: string]: boolean} = {};\n    while (stack.length > 0) {\n      const promises = this.processStack(\n          inputNodes, stack, context, tensorsMap, added, tensorsToKeep,\n          outputNames, intermediateTensorConsumerCount, usedNodes);\n      await Promise.all(promises);\n    }\n    if (dynamicNode == null) {\n      console.warn(\n          `This model execution did not contain any nodes with control flow ` +\n          `or dynamic output shapes. You can use model.execute() instead.`);\n    }\n    const missingOutputs =\n        outputNodes\n            .filter(\n                node => !isControlFlow(node) &&\n                    !getTensor(node.name, tensorsMap, context))\n            .map(node => node.name);\n    if (missingOutputs.length > 0) {\n      let alternativeMsg = '';\n      if (dynamicNode != null) {\n        alternativeMsg =\n            `Alternatively, to avoid the dynamic ops, use model.execute() ` +\n            `and specify the inputs [${syncInputs}]`;\n      }\n      throw new Error(\n          `Cannot compute the outputs [${missingOutputs}] from the provided ` +\n          `inputs [${names}]. Consider providing the following inputs: ` +\n          `[${missingInputs}]. ${alternativeMsg}`);\n    }\n    return tensorsMap;\n  }\n\n  private processStack(\n      inputNodes: Node[], stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      tensorsToKeep: Set<number>, outputNames: string[],\n      intermediateTensorConsumerCount: {[key: number]: number},\n      usedNodes: Set<string>) {\n    const promises: Array<Promise<Tensor[]>> = [];\n    while (stack.length > 0) {\n      const item = stack.pop();\n      context.currentContext = item.contexts;\n      let nodeName = '';\n      // The tensor of the Enter op with isConstant set should be set\n      // in the parent scope, so it will be available as constant for the\n      // whole loop.\n      if (item.node.op === 'Enter' &&\n          getParamValue('isConstant', item.node, tensorMap, context)) {\n        [nodeName] = getNodeNameAndIndex(item.node.name, context);\n      }\n\n      // only process nodes that are not provided as input nodes.\n      if (inputNodes.indexOf(item.node) === -1) {\n        const tensors = executeOp(item.node, tensorMap, context);\n        if (!nodeName) {\n          [nodeName] = getNodeNameAndIndex(item.node.name, context);\n        }\n        const currentContext = context.currentContext;\n        if (tensors instanceof Promise) {\n          promises.push(tensors.then(t => {\n            tensorMap[nodeName] = t;\n            context.currentContext = currentContext;\n            this.checkTensorForDisposal(\n                nodeName, item.node, tensorMap, context, tensorsToKeep,\n                outputNames, intermediateTensorConsumerCount);\n            this.processChildNodes(\n                item.node, stack, context, tensorMap, added, usedNodes);\n            return t;\n          }));\n        } else {\n          tensorMap[nodeName] = tensors;\n          this.checkTensorForDisposal(\n              nodeName, item.node, tensorMap, context, tensorsToKeep,\n              outputNames, intermediateTensorConsumerCount);\n          this.processChildNodes(\n              item.node, stack, context, tensorMap, added, usedNodes);\n        }\n      } else {\n        this.processChildNodes(\n            item.node, stack, context, tensorMap, added, usedNodes);\n      }\n    }\n    return promises;\n  }\n\n  private processChildNodes(\n      node: Node, stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      usedNodes: Set<string>) {\n    node.children.forEach((childNode) => {\n      const [nodeName, ] = getNodeNameAndIndex(childNode.name, context);\n      if (added[nodeName] || !usedNodes.has(childNode.name)) {\n        return;\n      }\n      // Merge op can be pushed if any of its inputs has value.\n      if (childNode.op === 'Merge') {\n        if (childNode.inputNames.some(name => {\n              return !!getTensor(name, tensorMap, context);\n            })) {\n          added[nodeName] = true;\n          stack.push({contexts: context.currentContext, node: childNode});\n        }\n      } else  // Otherwise all inputs must to have value.\n          if (childNode.inputNames.every(name => {\n                return !!getTensor(name, tensorMap, context);\n              })) {\n        added[nodeName] = true;\n        stack.push({contexts: context.currentContext, node: childNode});\n      }\n    });\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  dispose() {\n    Object.keys(this.weightMap)\n        .forEach(\n            key => this.weightMap[key].forEach(tensor => tensor.dispose()));\n  }\n\n  private checkInputShapeAndType(inputs: NamedTensorMap) {\n    Object.keys(inputs).forEach(name => {\n      const input = inputs[name];\n      const [nodeName, ] = parseNodeName(name);\n      const node = this.graph.nodes[nodeName];\n      if (node.attrParams['shape'] && node.attrParams['shape'].value) {\n        const shape = node.attrParams['shape'].value as number[];\n        const match = shape.length === input.shape.length &&\n            input.shape.every(\n                (dim, index) => shape[index] === -1 || shape[index] === dim);\n        util.assert(\n            match,\n            () => `The shape of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be [${shape}], but was ` +\n                `[${input.shape}]`);\n      }\n      if (node.attrParams['dtype'] && node.attrParams['dtype'].value) {\n        util.assert(\n            input.dtype === node.attrParams['dtype'].value as string,\n            () => `The dtype of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be ` +\n                `${node.attrParams['dtype'].value}, but was ${input.dtype}`);\n      }\n    });\n  }\n\n  private mapInputs(inputs: NamedTensorMap) {\n    const result: NamedTensorMap = {};\n    for (const inputName in inputs) {\n      if (this._signature != null && this._signature.inputs != null &&\n          this._signature.inputs[inputName] != null) {\n        const tensor = this._signature.inputs[inputName];\n        result[tensor.name] = inputs[inputName];\n      } else {\n        result[inputName] = inputs[inputName];\n      }\n    }\n    return result;\n  }\n\n  private checkInputs(inputs: NamedTensorMap) {\n    const notInGraph = Object.keys(inputs).filter(name => {\n      const [nodeName] = parseNodeName(name);\n      return this.graph.nodes[nodeName] == null;\n    });\n    if (notInGraph.length > 0) {\n      throw new Error(\n          `The dict provided in model.execute(dict) has ` +\n          `keys: [${notInGraph}] that are not part of graph`);\n    }\n  }\n\n  private mapOutputs(outputs: string[]) {\n    return outputs.map(name => {\n      if (this._signature != null && this._signature.outputs != null &&\n          this._signature.outputs[name] != null) {\n        const tensor = this._signature.outputs[name];\n        return tensor.name;\n      }\n      return name;\n    }, {});\n  }\n  private checkOutputs(outputs: string[]): void {\n    outputs.forEach(name => {\n      const [normalizedName] = parseNodeName(name);\n      if (!this.graph.nodes[normalizedName]) {\n        throw new Error(`The output '${name}' is not found in the graph`);\n      }\n    });\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {InferenceModel, io, ModelPredictConfig, NamedTensorMap, Tensor} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {NamedTensorsMap, TensorInfo} from '../data/types';\nimport {OperationMapper} from '../operations/operation_mapper';\n\nimport {GraphExecutor} from './graph_executor';\n\nexport const TFHUB_SEARCH_PARAM = '?tfjs-format=file';\nexport const DEFAULT_MODEL_NAME = 'model.json';\n/**\n * A `tf.GraphModel` is a directed, acyclic graph of built from\n * SavedModel GraphDef and allows inference exeuction.\n *\n * A `tf.GraphModel` can only be created by loading from a model converted from\n * a [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) using\n * the command line converter tool and loaded via `tf.loadGraphModel`.\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class GraphModel implements InferenceModel {\n  private executor: GraphExecutor;\n  private version = 'n/a';\n  private handler: io.IOHandler;\n  private artifacts: io.ModelArtifacts;\n  // Returns the version information for the tensorflow model GraphDef.\n  get modelVersion(): string {\n    return this.version;\n  }\n\n  get inputNodes(): string[] {\n    return this.executor.inputNodes;\n  }\n\n  get outputNodes(): string[] {\n    return this.executor.outputNodes;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this.executor.inputs;\n  }\n\n  get outputs(): TensorInfo[] {\n    return this.executor.outputs;\n  }\n\n  get weights(): NamedTensorsMap {\n    return this.executor.weightMap;\n  }\n\n  /**\n   * @param modelUrl url for the model, or an `io.IOHandler`.\n   * @param weightManifestUrl url for the weight file generated by\n   * scripts/convert.py script.\n   * @param requestOption options for Request, which allows to send credentials\n   * and custom headers.\n   * @param onProgress Optional, progress callback function, fired periodically\n   * before the load is completed.\n   */\n  constructor(\n      private modelUrl: string|io.IOHandler,\n      private loadOptions: io.LoadOptions = {}) {\n    if (loadOptions == null) {\n      this.loadOptions = {};\n    }\n  }\n\n  private findIOHandler() {\n    const path = this.modelUrl;\n    if ((path as io.IOHandler).load != null) {\n      // Path is an IO Handler.\n      this.handler = path as io.IOHandler;\n    } else if (this.loadOptions.requestInit != null) {\n      this.handler = io.browserHTTPRequest(path as string, this.loadOptions);\n    } else {\n      const handlers =\n          io.getLoadHandlers(path as string, this.loadOptions.onProgress);\n      if (handlers.length === 0) {\n        // For backward compatibility: if no load handler can be found,\n        // assume it is a relative http path.\n        handlers.push(io.browserHTTPRequest(path as string, this.loadOptions));\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) load handlers for ` +\n            `URL '${[path]}'`);\n      }\n      this.handler = handlers[0];\n    }\n  }\n\n  /**\n   * Loads the model and weight files, construct the in memory weight map and\n   * compile the inference graph.\n   */\n  async load(): Promise<boolean> {\n    this.findIOHandler();\n    if (this.handler.load == null) {\n      throw new Error(\n          'Cannot proceed with model loading because the IOHandler provided ' +\n          'does not have the `load` method implemented.');\n    }\n    this.artifacts = await this.handler.load();\n    const graph = this.artifacts.modelTopology as tensorflow.IGraphDef;\n    let signature = {};\n    if (this.artifacts.userDefinedMetadata != null) {\n      signature =  // tslint:disable-next-line:no-any\n          (this.artifacts.userDefinedMetadata as any).signature as\n          tensorflow.ISignatureDef;\n    }\n\n    this.version = `${graph.versions.producer}.${graph.versions.minConsumer}`;\n    const weightMap =\n        io.decodeWeights(this.artifacts.weightData, this.artifacts.weightSpecs);\n    this.executor = new GraphExecutor(\n        OperationMapper.Instance.transformGraph(graph, signature));\n    this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);\n    return true;\n  }\n\n  /**\n   * Save the configuration and/or weights of the GraphModel.\n   *\n   * An `IOHandler` is an object that has a `save` method of the proper\n   * signature defined. The `save` method manages the storing or\n   * transmission of serialized data (\"artifacts\") that represent the\n   * model's topology and weights onto or via a specific medium, such as\n   * file downloads, local storage, IndexedDB in the web browser and HTTP\n   * requests to a server. TensorFlow.js provides `IOHandler`\n   * implementations for a number of frequently used saving mediums, such as\n   * `tf.io.browserDownloads` and `tf.io.browserLocalStorage`. See `tf.io`\n   * for more details.\n   *\n   * This method also allows you to refer to certain types of `IOHandler`s\n   * as URL-like string shortcuts, such as 'localstorage://' and\n   * 'indexeddb://'.\n   *\n   * Example 1: Save `model`'s topology and weights to browser [local\n   * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n   * then load it back.\n   *\n   * ```js\n   * const modelUrl =\n   *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n   * const model = await tf.loadGraphModel(modelUrl);\n   * const zeros = tf.zeros([1, 224, 224, 3]);\n   * model.predict(zeros).print();\n   *\n   * const saveResults = await model.save('localstorage://my-model-1');\n   *\n   * const loadedModel = await tf.loadGraphModel('localstorage://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * model.predict(zeros).print();\n   * ```\n   *\n   * @param handlerOrURL An instance of `IOHandler` or a URL-like,\n   * scheme-based string shortcut for `IOHandler`.\n   * @param config Options for saving the model.\n   * @returns A `Promise` of `SaveResult`, which summarizes the result of\n   * the saving, such as byte sizes of the saved artifacts for the model's\n   *   topology and weight values.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async save(handlerOrURL: io.IOHandler|string, config?: io.SaveConfig):\n      Promise<io.SaveResult> {\n    if (typeof handlerOrURL === 'string') {\n      const handlers = io.getSaveHandlers(handlerOrURL);\n      if (handlers.length === 0) {\n        throw new Error(\n            `Cannot find any save handlers for URL '${handlerOrURL}'`);\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) save handlers for ` +\n            `URL '${handlerOrURL}'`);\n      }\n      handlerOrURL = handlers[0];\n    }\n    if (handlerOrURL.save == null) {\n      throw new Error(\n          'GraphModel.save() cannot proceed because the IOHandler ' +\n          'provided does not have the `save` attribute defined.');\n    }\n\n    return handlerOrURL.save(this.artifacts);\n  }\n\n  /**\n   * Execute the inference for the input tensors.\n   *\n   * @param input The input tensors, when there is single input for the model,\n   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,\n   * inputs params should be in either `tf.Tensor`[] if the input order is\n   * fixed, or otherwise NamedTensorMap format.\n   *\n   * For model with multiple inputs, we recommend you use NamedTensorMap as the\n   * input type, if you use `tf.Tensor`[], the order of the array needs to\n   * follow the\n   * order of inputNodes array. @see {@link GraphModel.inputNodes}\n   *\n   * You can also feed any intermediate nodes using the NamedTensorMap as the\n   * input type. For example, given the graph\n   *    InputNode => Intermediate => OutputNode,\n   * you can execute the subgraph Intermediate => OutputNode by calling\n   *    model.execute('IntermediateNode' : tf.tensor(...));\n   *\n   * This is useful for models that uses tf.dynamic_rnn, where the intermediate\n   * state needs to be fed manually.\n   *\n   * For batch inference execution, the tensors for each input need to be\n   * concatenated together. For example with mobilenet, the required input shape\n   * is [1, 244, 244, 3], which represents the [batch, height, width, channel].\n   * If we are provide a batched data of 100 images, the input tensor should be\n   * in the shape of [100, 244, 244, 3].\n   *\n   * @param config Prediction configuration for specifying the batch size and\n   * output node names. Currently the batch size option is ignored for graph\n   * model.\n   *\n   * @returns Inference result tensors. The output would be single `tf.Tensor`\n   * if model has single output node, otherwise Tensor[] or NamedTensorMap[]\n   * will be returned for model with multiple outputs.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  predict(inputs: Tensor|Tensor[]|NamedTensorMap, config?: ModelPredictConfig):\n      Tensor|Tensor[]|NamedTensorMap {\n    return this.execute(inputs, this.outputNodes);\n  }\n\n  private normalizeInputs(inputs: Tensor|Tensor[]|\n                          NamedTensorMap): NamedTensorMap {\n    if (!(inputs instanceof Tensor) && !Array.isArray(inputs)) {\n      // The input is already a NamedTensorMap.\n      return inputs;\n    }\n    inputs = Array.isArray(inputs) ? inputs : [inputs];\n    if (inputs.length !== this.inputNodes.length) {\n      throw new Error(\n          'Input tensor count mismatch,' +\n          `the graph model has ${this.inputNodes.length} placeholders, ` +\n          `while there are ${inputs.length} input tensors.`);\n    }\n    return this.inputNodes.reduce((map, inputName, i) => {\n      map[inputName] = (inputs as Tensor[])[i];\n      return map;\n    }, {} as NamedTensorMap);\n  }\n\n  private normalizeOutputs(outputs: string|string[]): string[] {\n    outputs = outputs || this.outputNodes;\n    return !Array.isArray(outputs) ? [outputs] : outputs;\n  }\n\n  /**\n   * Executes inference for the model for given input tensors.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no\n   * outputs are specified, the default outputs of the model would be used.\n   * You can inspect intermediate nodes of the model by adding them to the\n   * outputs array.\n   *\n   * @returns A single tensor if provided with a single output or no outputs\n   * are provided and there is only one default output, otherwise return a\n   * tensor array. The order of the tensor array is the same as the outputs\n   * if provided, otherwise the order of outputNodes attribute of the model.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  execute(inputs: Tensor|Tensor[]|NamedTensorMap, outputs?: string|string[]):\n      Tensor|Tensor[] {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = this.executor.execute(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n  /**\n   * Executes inference for the model for given input tensors in async\n   * fashion, use this method when your model contains control flow ops.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   *\n   * @returns A Promise of single tensor if provided with a single output or\n   * no outputs are provided and there is only one default output, otherwise\n   * return a tensor map.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  async executeAsync(\n      inputs: Tensor|Tensor[]|NamedTensorMap,\n      outputs?: string|string[]): Promise<Tensor|Tensor[]> {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = await this.executor.executeAsync(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n\n  private convertTensorMapToTensorsMap(map: NamedTensorMap): NamedTensorsMap {\n    return Object.keys(map).reduce((newMap: NamedTensorsMap, key) => {\n      newMap[key] = [map[key]];\n      return newMap;\n    }, {});\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  dispose() {\n    this.executor.dispose();\n  }\n}\n\n/**\n * Load a graph model given a URL to the model definition.\n *\n * Example of loading MobileNetV2 from a URL and making a prediction with a\n * zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n * const model = await tf.loadGraphModel(modelUrl);\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n *\n * Example of loading MobileNetV2 from a TF Hub URL and making a prediction with\n * a zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2';\n * const model = await tf.loadGraphModel(modelUrl, {fromTFHub: true});\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n * @param modelUrl The url or an `io.IOHandler` that loads the model.\n * @param options Options for the HTTP request, which allows to send credentials\n *    and custom headers.\n */\n/** @doc {heading: 'Models', subheading: 'Loading'} */\nexport async function loadGraphModel(\n    modelUrl: string|io.IOHandler,\n    options: io.LoadOptions = {}): Promise<GraphModel> {\n  if (modelUrl == null) {\n    throw new Error(\n        'modelUrl in loadGraphModel() cannot be null. Please provide a url ' +\n        'or an IOHandler that loads the model');\n  }\n  if (options == null) {\n    options = {};\n  }\n\n  if (options.fromTFHub) {\n    if ((modelUrl as io.IOHandler).load == null) {\n      if (!(modelUrl as string).endsWith('/')) {\n        modelUrl = (modelUrl as string) + '/';\n      }\n      modelUrl = `${modelUrl}${DEFAULT_MODEL_NAME}${TFHUB_SEARCH_PARAM}`;\n    }\n  }\n  const model = new GraphModel(modelUrl, options);\n  await model.load();\n  return model;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport * as tf from '@tensorflow/tfjs-core';\n\n// tslint:disable:no-any\n\n/**\n * A return value for a mapping function that can be applied via deepMap.\n *\n * If recurse is true, the value should be empty, and iteration will continue\n * into the object or array.\n */\nexport type DeepMapResult = {\n  value: any,\n  recurse: boolean\n};\n\n/**\n * Apply a mapping function to a nested structure in a recursive manner.\n *\n * The result of the mapping is an object with the same nested structure (i.e.,\n * of arrays and dicts) as the input, except that some subtrees are replaced,\n * according to the results of the mapping function.\n *\n * Mappings are memoized.  Thus, if the nested structure contains the same\n * object in multiple positions, the output will contain the same mapped object\n * in those positions.  Cycles are not supported, however.\n *\n * @param input: The object to which to apply the mapping function.\n * @param mapFn: A function that expects a single node of the object tree, and\n *   returns a `DeepMapResult`.  The `DeepMapResult` either provides a\n *   replacement value for that node (i.e., replacing the subtree), or indicates\n *   that the node should be processed recursively.\n */\nexport function deepMap(input: any, mapFn: (x: any) => DeepMapResult): any|\n    any[] {\n  return deepMapInternal(input, mapFn);\n}\n\n/**\n * @param seen: A Map of known object mappings (i.e., memoized results of\n *   `mapFn()`)\n * @param containedIn: An set containing objects on the reference path currently\n *   being processed (used to detect cycles).\n */\nfunction deepMapInternal(\n    input: any, mapFn: (x: any) => DeepMapResult,\n    seen: Map<any, any> = new Map(), containedIn: Set<{}> = new Set()): any|\n    any[] {\n  if (input == null) {\n    return null;\n  }\n  if (containedIn.has(input)) {\n    throw new Error('Circular references are not supported.');\n  }\n  if (seen.has(input)) {\n    return seen.get(input);\n  }\n  const result = mapFn(input);\n\n  if (result.recurse && result.value !== null) {\n    throw new Error(\n        'A deep map function may not return both a value and recurse=true.');\n  }\n\n  if (!result.recurse) {\n    seen.set(input, result.value);\n    return result.value;\n  } else if (isIterable(input)) {\n    // tslint:disable-next-line:no-any\n    const mappedIterable: any|any[] = Array.isArray(input) ? [] : {};\n    containedIn.add(input);\n    for (const k in input) {\n      const child = input[k];\n      const childResult = deepMapInternal(child, mapFn, seen, containedIn);\n      mappedIterable[k] = childResult;\n    }\n    containedIn.delete(input);\n    return mappedIterable;\n  } else {\n    throw new Error(`Can't recurse into non-iterable type: ${input}`);\n  }\n}\n\n// TODO(soergel, kangyizhang) Reconsider naming of deepZip() to avoid confusion\n// with zip()\n\n/**\n * Zip nested structures together in a recursive manner.\n *\n * This has the effect of transposing or pivoting data, e.g. converting it from\n * a row-major representation to a column-major representation.\n *\n * For example, `deepZip([{a: 1, b: 2}, {a: 3, b: 4}])` returns\n * `{a: [1, 3], b: [2, 4]}`.\n *\n * The inputs should all have the same nested structure (i.e., of arrays and\n * dicts).  The result is a single object with the same nested structure, where\n * the leaves are arrays collecting the values of the inputs at that location\n * (or, optionally, the result of a custom function applied to those arrays).\n *\n * @param inputs: An array of the objects to zip together.\n * @param zipFn: (optional) A function that expects an array of elements at a\n *   single node of the object tree, and returns a `DeepMapResult`.  The\n *   `DeepMapResult` either provides a result value for that node (i.e.,\n *   representing the subtree), or indicates that the node should be processed\n *   recursively.  The default zipFn recurses as far as possible and places\n *   arrays at the leaves.\n */\nexport function deepZip(\n    inputs: any[], zipFn: (xs: any[]) => DeepMapResult = zipToList): any|any[] {\n  return deepZipInternal(inputs, zipFn);\n}\n\n/**\n * @param containedIn: An set containing objects on the reference path currently\n *   being processed (used to detect cycles).\n */\nfunction deepZipInternal(\n    inputs: any[], zipFn: (xs: any[]) => DeepMapResult,\n    containedIn: Set<{}> = new Set()): any|any[] {\n  // The recursion follows the structure of input 0; it's assumed that all the\n  // other inputs have the same structure.\n  const input = inputs[0];\n  if (containedIn.has(input)) {\n    throw new Error('Circular references are not supported.');\n  }\n  const result = zipFn(inputs);\n\n  if (result.recurse && result.value !== null) {\n    throw new Error(\n        'A deep zip function may not return both a value and recurse=true.');\n  }\n\n  if (!result.recurse) {\n    return result.value;\n  } else if (isIterable(input)) {\n    // tslint:disable-next-line:no-any\n    const mappedIterable: any|any[] = Array.isArray(input) ? [] : {};\n    containedIn.add(input);\n    for (const k in input) {\n      const children = inputs.map(x => x[k]);\n      const childResult = deepZipInternal(children, zipFn, containedIn);\n      mappedIterable[k] = childResult;\n    }\n    containedIn.delete(input);\n    return mappedIterable;\n  } else {\n    throw new Error(`Can't recurse into non-iterable type: ${input}`);\n  }\n}\n\n// tslint:disable-next-line:no-any\nexport function zipToList(x: any[]): DeepMapResult {\n  if (x === null) {\n    return null;\n  }\n  // TODO(soergel): validate array type?\n\n  if (isIterable(x[0])) {\n    return {value: null, recurse: true};\n  } else {\n    return {value: x, recurse: false};\n  }\n}\n\n/**\n * A return value for an async map function for use with deepMapAndAwaitAll.\n *\n * If recurse is true, the value should be empty, and iteration will continue\n * into the object or array.\n */\nexport type DeepMapAsyncResult = {\n  value: Promise<any>,\n  recurse: boolean\n};\n\n/**\n * Apply an async mapping function to a nested structure in a recursive manner.\n *\n * This first creates a nested structure of Promises, and then awaits all of\n * those, resulting in a single Promise for a resolved nested structure.\n *\n * The result of the mapping is an object with the same nested structure (i.e.,\n * of arrays and dicts) as the input, except that some subtrees are replaced,\n * according to the results of the mapping function.\n *\n * Mappings are memoized.  Thus, if the nested structure contains the same\n * object in multiple positions, the output will contain the same mapped object\n * in those positions.  Cycles are not supported, however.\n *\n * @param input: The object to which to apply the mapping function.\n * @param mapFn: A function that expects a single node of the object tree, and\n *   returns a `DeepMapAsyncResult`.  The `DeepMapAsyncResult` either provides\n *   a `Promise` for a replacement value for that node (i.e., replacing the\n *   subtree), or indicates that the node should be processed recursively.  Note\n *   that the decision whether or not to recurse must be made immediately; only\n *   the mapped value may be promised.\n */\nexport async function deepMapAndAwaitAll(\n    input: any, mapFn: (x: any) => DeepMapAsyncResult): Promise<any|any[]> {\n  const seen: Map<any, Promise<any>> = new Map();\n\n  // First do a normal deepMap, collecting Promises in 'seen' as a side effect.\n  deepMapInternal(input, mapFn, seen);\n\n  // Replace the Promises in 'seen' in place.\n  // Note TypeScript provides no async map iteration, and regular map iteration\n  // is broken too, so sadly we have to do Array.from() to make it work.\n  // (There's no advantage to Promise.all(), and that would be tricky anyway.)\n  for (const key of Array.from(seen.keys())) {\n    const value = seen.get(key);\n    if (value instanceof Promise) {\n      const mappedValue = await value;\n      seen.set(key, mappedValue);\n    }\n  }\n\n  // Normal deepMap again, this time filling in the resolved values.\n  // It's unfortunate that we have to do two passes.\n  // TODO(soergel): test performance and think harder about a fast solution.\n  const result = deepMapInternal(input, mapFn, seen);\n  return result;\n}\n\n/**\n * Determine whether the argument is iterable.\n *\n * @returns true if the argument is an array or any non-Tensor object.\n */\n// tslint:disable-next-line:no-any\nexport function isIterable(obj: any): boolean {\n  return obj != null && (!ArrayBuffer.isView(obj)) &&\n      (Array.isArray(obj) ||\n       (typeof obj === 'object' && !(obj instanceof tf.Tensor)));\n}\n\n/**\n * Determine whether the argument can be converted to Tensor.\n *\n * Tensors, primitives, arrays, and TypedArrays all qualify; anything else does\n * not.\n *\n * @returns true if the argument can be converted to Tensor.\n */\n// tslint:disable-next-line:no-any\nexport function canTensorify(obj: any): boolean {\n  return obj == null || isPrimitive(obj) || Array.isArray(obj) ||\n      (typeof obj === 'object' && (obj instanceof tf.Tensor)) ||\n      tf.util.isTypedArray(obj);\n}\n\n/**\n * Returns true if the given `value` is a primitive type. Otherwise returns\n * false. This is equivalant to node util.isPrimitive\n */\nfunction isPrimitive(value: any): boolean {\n  return (\n      value === null ||\n      (typeof value !== 'object' && typeof value !== 'function'));\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport * as tf from '@tensorflow/tfjs-core';\nimport {deepMap, DeepMapResult, isIterable} from './deep_map';\n\nexport function deepClone<T>(container: T): T {\n  return deepMap(container, cloneIfTensor);\n}\n\n// tslint:disable-next-line: no-any\nfunction cloneIfTensor(item: any): DeepMapResult {\n  if (item instanceof tf.Tensor) {\n    return ({value: item.clone(), recurse: false});\n  } else if (isIterable(item)) {\n    return {value: null, recurse: true};\n  } else {\n    return {value: item, recurse: false};\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n/**\n * A ring buffer, providing O(1) FIFO, LIFO, and related operations.\n */\nexport class RingBuffer<T> {\n  // Note we store the indices in the range 0 <= index < 2*capacity.\n  // This allows us to distinguish the full from the empty case.\n  // See https://www.snellman.net/blog/archive/2016-12-13-ring-buffers/\n  protected begin = 0;  // inclusive\n  protected end = 0;    // exclusive\n  protected doubledCapacity: number;\n\n  protected data: T[];\n\n  /**\n   * Constructs a `RingBuffer`.\n   * @param capacity The number of items that the buffer can accomodate.\n   */\n  constructor(public capacity: number) {\n    if (capacity == null) {\n      throw new RangeError('Can\\'t create a ring buffer of unknown capacity.');\n    }\n    if (capacity < 1) {\n      throw new RangeError('Can\\'t create ring buffer of capacity < 1.');\n    }\n    this.data = new Array<T>(capacity);\n    this.doubledCapacity = 2 * capacity;\n  }\n\n  /**\n   * Map any index into the range 0 <= index < 2*capacity.\n   */\n  protected wrap(index: number) {\n    // don't trust % on negative numbers\n    while (index < 0) {\n      index += this.doubledCapacity;\n    }\n    return index % this.doubledCapacity;\n  }\n\n  protected get(index: number) {\n    if (index < 0) {\n      throw new RangeError('Can\\'t get item at a negative index.');\n    }\n    return this.data[index % this.capacity];\n  }\n\n  protected set(index: number, value: T) {\n    if (index < 0) {\n      throw new RangeError('Can\\'t set item at a negative index.');\n    }\n    this.data[index % this.capacity] = value;\n  }\n\n  /**\n   * Returns the current number of items in the buffer.\n   */\n  length(): number {\n    let length = this.end - this.begin;\n    if (length < 0) {\n      length = this.doubledCapacity + length;\n    }\n    return length;\n  }\n\n  /**\n   * Reports whether the buffer is full.\n   * @returns true if the number of items in the buffer equals its capacity, and\n   *   false otherwise.\n   */\n  isFull() {\n    return this.length() === this.capacity;\n  }\n\n  /**\n   * Reports whether the buffer is empty.\n   * @returns true if the number of items in the buffer equals zero, and\n   *   false otherwise.\n   */\n  isEmpty() {\n    return this.length() === 0;\n  }\n\n  /**\n   * Adds an item to the end of the buffer.\n   */\n  push(value: T) {\n    if (this.isFull()) {\n      throw new RangeError('Ring buffer is full.');\n    }\n    this.set(this.end, value);\n    this.end = this.wrap(this.end + 1);\n  }\n\n  /**\n   * Adds many items to the end of the buffer, in order.\n   */\n  pushAll(values: T[]) {\n    for (const value of values) {\n      this.push(value);\n    }\n  }\n\n  /**\n   * Removes and returns the last item in the buffer.\n   */\n  pop(): T {\n    if (this.isEmpty()) {\n      throw new RangeError('Ring buffer is empty.');\n    }\n    this.end = this.wrap(this.end - 1);\n    const result = this.get(this.end);\n    this.set(this.end, undefined);\n    return result;\n  }\n\n  /**\n   * Adds an item to the beginning of the buffer.\n   */\n  unshift(value: T) {\n    if (this.isFull()) {\n      throw new RangeError('Ring buffer is full.');\n    }\n    this.begin = this.wrap(this.begin - 1);\n    this.set(this.begin, value);\n  }\n\n  /**\n   * Removes and returns the first item in the buffer.\n   */\n  shift(): T {\n    if (this.isEmpty()) {\n      throw new RangeError('Ring buffer is empty.');\n    }\n    const result = this.get(this.begin);\n    this.set(this.begin, undefined);\n    this.begin = this.wrap(this.begin + 1);\n    return result;\n  }\n\n  /**\n   * Removes and returns a specific item in the buffer, and moves the last item\n   * to the vacated slot.  This is useful for implementing a shuffling stream.\n   * Note that this operation necessarily scrambles the original order.\n   *\n   * @param relativeIndex: the index of the item to remove, relative to the\n   *   first item in the buffer (e.g., hiding the ring nature of the underlying\n   *   storage).\n   */\n  shuffleExcise(relativeIndex: number): T {\n    if (this.isEmpty()) {\n      throw new RangeError('Ring buffer is empty.');\n    }\n    const index = this.wrap(this.begin + relativeIndex);\n    const result = this.get(index);\n    this.set(index, this.pop());\n    return result;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {RingBuffer} from './ring_buffer';\n\nexport class GrowingRingBuffer<T> extends RingBuffer<T> {\n  private static INITIAL_CAPACITY = 32;\n\n  /**\n   * Constructs a `GrowingRingBuffer`.\n   */\n  constructor() {\n    super(GrowingRingBuffer.INITIAL_CAPACITY);\n  }\n\n  isFull() {\n    return false;\n  }\n\n  push(value: T) {\n    if (super.isFull()) {\n      this.expand();\n    }\n    super.push(value);\n  }\n\n  unshift(value: T) {\n    if (super.isFull()) {\n      this.expand();\n    }\n    super.unshift(value);\n  }\n\n  /**\n   * Doubles the capacity of the buffer.\n   */\n  private expand() {\n    const newCapacity = this.capacity * 2;\n    const newData = new Array<T>(newCapacity);\n    const len = this.length();\n\n    // Rotate the buffer to start at index 0 again, since we can't just\n    // allocate more space at the end.\n    for (let i = 0; i < len; i++) {\n      newData[i] = this.get(this.wrap(this.begin + i));\n    }\n\n    this.data = newData;\n    this.capacity = newCapacity;\n    this.doubledCapacity = 2 * this.capacity;\n    this.begin = 0;\n    this.end = len;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport * as tf from '@tensorflow/tfjs-core';\nimport * as seedrandom from 'seedrandom';\n\nimport {Container, DataElement} from '../types';\nimport {deepClone} from '../util/deep_clone';\nimport {deepMapAndAwaitAll, DeepMapAsyncResult, DeepMapResult, deepZip, zipToList} from '../util/deep_map';\nimport {GrowingRingBuffer} from '../util/growing_ring_buffer';\nimport {RingBuffer} from '../util/ring_buffer';\n\n/**\n * A nested structure of LazyIterators, used as the input to zip().\n */\nexport type IteratorContainer = Container<LazyIterator<DataElement>>;\n\n// Here we implement a simple asynchronous iterator.\n// This lets us avoid using either third-party stream libraries or\n// recent TypeScript language support requiring polyfills.\n\n/**\n * Create a `LazyIterator` from an array of items.\n */\nexport function iteratorFromItems<T>(items: T[]): LazyIterator<T> {\n  return new ArrayIterator(items);\n}\n\n/**\n * Create a `LazyIterator` of incrementing integers.\n */\nexport function iteratorFromIncrementing(start: number): LazyIterator<number> {\n  let i = start;\n  return iteratorFromFunction(() => ({value: i++, done: false}));\n}\n\n/**\n * Create a `LazyIterator` from a function.\n *\n * ```js\n * let i = -1;\n * const func = () =>\n *    ++i < 5 ? {value: i, done: false} : {value: null, done: true};\n * const iter = tf.data.iteratorFromFunction(func);\n * await iter.forEachAsync(e => console.log(e));\n * ```\n *\n * @param func A function that produces data on each call.\n */\nexport function iteratorFromFunction<T>(\n    func: () =>\n        IteratorResult<T>| Promise<IteratorResult<T>>): LazyIterator<T> {\n  return new FunctionCallIterator(func);\n}\n\n/**\n * Create a `LazyIterator` by concatenating underlying streams, which are\n * themselves provided as a stream.\n *\n * This can also be thought of as a \"stream flatten\" operation.\n *\n * @param baseIterators A stream of streams to be concatenated.\n * @param baseErrorHandler An optional function that can intercept `Error`s\n *   raised during a `next()` call on the base stream.  This function can decide\n *   whether the error should be propagated, whether the error should be\n *   ignored, or whether the base stream should be terminated.\n */\nexport function iteratorFromConcatenated<T>(\n    baseIterators: LazyIterator<LazyIterator<T>>,\n    baseErrorHandler?: (e: Error) => boolean): LazyIterator<T> {\n  return new ChainedIterator(baseIterators, baseErrorHandler);\n}\n\n/**\n * Create a `LazyIterator` by concatenating streams produced by calling a\n * stream-generating function a given number of times.\n *\n * Since a `LazyIterator` is read-once, it cannot be repeated, but this\n * function can be used to achieve a similar effect:\n *\n *   LazyIterator.ofConcatenatedFunction(() => new MyIterator(), 6);\n *\n * @param iteratorFunc: A function that produces a new stream on each call.\n * @param count: The number of times to call the function.\n * @param baseErrorHandler An optional function that can intercept `Error`s\n *   raised during a `next()` call on the base stream.  This function can decide\n *   whether the error should be propagated, whether the error should be\n *   ignored, or whether the base stream should be terminated.\n */\nexport function iteratorFromConcatenatedFunction<T>(\n    iteratorFunc: () => IteratorResult<LazyIterator<T>>, count: number,\n    baseErrorHandler?: (e: Error) => boolean): LazyIterator<T> {\n  return iteratorFromConcatenated(\n      iteratorFromFunction(iteratorFunc).take(count), baseErrorHandler);\n}\n\n/**\n * Create a `LazyIterator` by zipping together an array, dict, or nested\n * structure of `LazyIterator`s (and perhaps additional constants).\n *\n * The underlying streams must provide elements in a consistent order such\n * that they correspond.\n *\n * Typically, the underlying streams should have the same number of\n * elements. If they do not, the behavior is determined by the\n * `mismatchMode` argument.\n *\n * The nested structure of the `iterators` argument determines the\n * structure of elements in the resulting iterator.\n *\n * @param iterators: An array or object containing LazyIterators at the\n * leaves.\n * @param mismatchMode: Determines what to do when one underlying iterator\n * is exhausted before the others.  `ZipMismatchMode.FAIL` (the default)\n * causes an error to be thrown in this case.  `ZipMismatchMode.SHORTEST`\n * causes the zipped iterator to terminate with the furst underlying\n * streams, so elements remaining on the longer streams are ignored.\n * `ZipMismatchMode.LONGEST` causes the zipped stream to continue, filling\n * in nulls for the exhausted streams, until all streams are exhausted.\n */\nexport function iteratorFromZipped<O extends tf.TensorContainer>(\n    iterators: IteratorContainer,\n    mismatchMode: ZipMismatchMode = ZipMismatchMode.FAIL): LazyIterator<O> {\n  return new ZipIterator<O>(iterators, mismatchMode);\n}\n\n/**\n * An asynchronous iterator, providing lazy access to a potentially\n * unbounded stream of elements.\n *\n * Iterator can be obtained from a dataset:\n * `const iter = await dataset.iterator();`\n */\nexport abstract class LazyIterator<T> {\n  // This class implements AsyncIterator<T>, but we have not yet set the\n  // TypeScript --downlevelIteration flag to enable that.\n\n  abstract summary(): string;\n\n  /**\n   * Returns a `Promise` for the next element in the stream.\n   *\n   * When an item can be provided successfully, the return value is\n   * `{value:T, done:false}`.\n   *\n   * Calling next() on a closed stream returns `{value:null, done:true}`.\n   */\n  abstract async next(): Promise<IteratorResult<T>>;\n\n  /**\n   * Collect all remaining elements of a bounded stream into an array.\n   * Obviously this will succeed only for small streams that fit in memory.\n   * Useful for testing.\n   *\n   * @returns A Promise for an array of stream elements, which will resolve\n   *   when the stream is exhausted.\n   */\n  async toArray(): Promise<T[]> {\n    const result: T[] = [];\n    let x = await this.next();\n    while (!x.done) {\n      result.push(x.value);\n      x = await this.next();\n    }\n    return result;\n  }\n\n  /**\n   * Collect all elements of this dataset into an array with prefetching 100\n   * elements. This is useful for testing, because the prefetch changes the\n   * order in which the Promises are resolved along the processing pipeline.\n   * This may help expose bugs where results are dependent on the order of\n   * Promise resolution rather than on the logical order of the stream (i.e.,\n   * due to hidden mutable state).\n   *\n   * @returns A Promise for an array of stream elements, which will resolve\n   *   when the stream is exhausted.\n   */\n  async toArrayForTest(): Promise<T[]> {\n    const stream = this.prefetch(100);\n    const result: T[] = [];\n    let x = await stream.next();\n    while (!x.done) {\n      result.push(x.value);\n      x = await stream.next();\n    }\n    return result;\n  }\n\n  /**\n   * Draw items from the stream until it is exhausted.\n   *\n   * This can be useful when the stream has side effects but no output.  In\n   * that case, calling this function guarantees that the stream will be\n   * fully processed.\n   */\n  async resolveFully(): Promise<void> {\n    let x = await this.next();\n    while (!x.done) {\n      x = await this.next();\n    }\n  }\n\n  /**\n   * Draw items from the stream until it is exhausted, or a predicate fails.\n   *\n   * This can be useful when the stream has side effects but no output.  In\n   * that case, calling this function guarantees that the stream will be\n   * fully processed.\n   */\n  async resolveWhile(predicate: (r: T) => boolean): Promise<void> {\n    let x = await this.next();\n    let shouldContinue = predicate(x.value);\n    while ((!x.done) && shouldContinue) {\n      x = await this.next();\n      shouldContinue = predicate(x.value);\n    }\n  }\n\n  /**\n   * Handles errors thrown on this stream using a provided handler function.\n   *\n   * @param handler A function that handles any `Error` thrown during a `next()`\n   *   call and returns true if the stream should continue (dropping the failed\n   *   call) or false if the stream should quietly terminate.  If the handler\n   *   itself throws (or rethrows) an `Error`, that will be propagated.\n   *\n   * @returns A `LazyIterator` of elements passed through from upstream,\n   *   possibly filtering or terminating on upstream `next()` calls that\n   *   throw an `Error`.\n   */\n  handleErrors(handler: (error: Error) => boolean): LazyIterator<T> {\n    return new ErrorHandlingLazyIterator(this, handler);\n  }\n\n  // TODO(soergel): Implement reduce() etc.\n\n  /**\n   * Filters this stream according to `predicate`.\n   *\n   * @param predicate A function mapping a stream element to a boolean or a\n   * `Promise` for one.\n   *\n   * @returns A `LazyIterator` of elements for which the predicate was true.\n   */\n  filter(predicate: (value: T) => boolean): LazyIterator<T> {\n    return new FilterIterator(this, predicate);\n  }\n\n  /**\n   * Maps this stream through a 1-to-1 transform.\n   *\n   * @param transform A function mapping a stream element to a transformed\n   *   element.\n   *\n   * @returns A `LazyIterator` of transformed elements.\n   */\n  map<O>(transform: (value: T) => O): LazyIterator<O> {\n    return new MapIterator(this, transform);\n  }\n\n  /**\n   * Maps this stream through an async 1-to-1 transform.\n   *\n   * @param transform A function mapping a stream element to a `Promise` for a\n   *   transformed stream element.\n   *\n   * @returns A `LazyIterator` of transformed elements.\n   */\n  mapAsync<O>(transform: (value: T) => Promise<O>): LazyIterator<O> {\n    return new AsyncMapIterator(this, transform);\n  }\n\n  /**\n   * Maps this stream through a 1-to-1 transform, forcing serial execution.\n   *\n   * @param transform A function mapping a stream element to a transformed\n   *   element.\n   *\n   * @returns A `LazyIterator` of transformed elements.\n   */\n  serialMapAsync<O>(transform: (value: T) => Promise<O>): LazyIterator<O> {\n    return new AsyncMapIterator(this, transform).serial();\n  }\n\n  /**\n   * Maps this stream through a 1-to-many transform.\n   *\n   * @param transform A function mapping a stream element to an array of\n   *   transformed elements.\n   *\n   * @returns A `DataStream` of transformed elements.\n   */\n  flatmap<O>(transform: (value: T) => O[]): LazyIterator<O> {\n    return new FlatmapIterator(this, transform);\n  }\n\n  /**\n   * Apply a function to every element of the stream.\n   *\n   * @param f A function to apply to each stream element.\n   */\n  async forEachAsync(f: (value: T) => void): Promise<void> {\n    return this.map(f).resolveFully();\n  }\n\n  /**\n   * Apply a function to every element of the stream, forcing serial execution.\n   *\n   * @param f A function to apply to each stream element.  Should return 'true'\n   *   to indicate that the stream should continue, or 'false' to cause it to\n   *   terminate.\n   */\n  async serialForEach(f: (value: T) => Promise<boolean>): Promise<void> {\n    return this.serialMapAsync(f).resolveWhile(x => (x === true));\n  }\n\n  /**\n   * Groups elements into batches, represented as arrays of elements.\n   *\n   * We can think of the elements of this iterator as 'rows' (even if they are\n   * nested structures).  By the same token, consecutive values for a given\n   * key within the elements form a 'column'.  This matches the usual sense of\n   * 'row' and 'column' when processing tabular data (e.g., parsing a CSV).\n   *\n   * Thus, \"Row-major\" means that the resulting batch is simply a collection of\n   * rows: `[row1, row2, row3, ...]`.  This is contrast to the column-major\n   * form, which is needed for vectorized computation.\n   *\n   * @param batchSize The number of elements desired per batch.\n   * @param smallLastBatch Whether to emit the final batch when it has fewer\n   *   than batchSize elements. Default true.\n   * @returns A `LazyIterator` of batches of elements, represented as arrays\n   *   of the original element type.\n   */\n  rowMajorBatch(batchSize: number, smallLastBatch = true): LazyIterator<T[]> {\n    return new RowMajorBatchIterator(this, batchSize, smallLastBatch);\n  }\n\n  /**\n   * Groups elements into batches, represented in column-major form.\n   *\n   * We can think of the elements of this iterator as 'rows' (even if they are\n   * nested structures).  By the same token, consecutive values for a given\n   * key within the elements form a 'column'.  This matches the usual sense of\n   * 'row' and 'column' when processing tabular data (e.g., parsing a CSV).\n   *\n   * Thus, \"column-major\" means that the resulting batch is a (potentially\n   * nested) structure representing the columns.  Each column entry, then,\n   * contains a collection of the values found in that column for a range of\n   * input elements.  This representation allows for vectorized computation, in\n   * contrast to the row-major form.\n   *\n   * The inputs should all have the same nested structure (i.e., of arrays and\n   * dicts).  The result is a single object with the same nested structure,\n   * where the leaves are arrays collecting the values of the inputs at that\n   * location (or, optionally, the result of a custom function applied to those\n   * arrays).\n   *\n   * @param batchSize The number of elements desired per batch.\n   * @param smallLastBatch Whether to emit the final batch when it has fewer\n   *   than batchSize elements. Default true.\n   * @param zipFn: (optional) A function that expects an array of elements at a\n   *   single node of the object tree, and returns a `DeepMapResult`.  The\n   *   `DeepMapResult` either provides a result value for that node (i.e.,\n   *   representing the subtree), or indicates that the node should be processed\n   *   recursively.  The default zipFn recurses as far as possible and places\n   *   arrays at the leaves.\n   * @returns A `LazyIterator` of batches of elements, represented as an object\n   *   with collections at the leaves.\n   */\n  columnMajorBatch(\n      batchSize: number, smallLastBatch = true,\n      // tslint:disable-next-line:no-any\n      zipFn: (xs: any[]) => DeepMapResult = zipToList):\n      LazyIterator<tf.TensorContainer> {\n    // First collect the desired number of input elements as a row-major batch.\n    const rowBatches = this.rowMajorBatch(batchSize, smallLastBatch);\n    // Now 'rotate' or 'pivot' the data, collecting all values from each column\n    // in the batch (i.e., for each key within the elements) into an array.\n    return rowBatches.map(x => deepZip(x, zipFn));\n  }\n\n  /**\n   * Concatenate this `LazyIterator` with another.\n   *\n   * @param iterator A `LazyIterator` to be concatenated onto this one.\n   * @param baseErrorHandler An optional function that can intercept `Error`s\n   *   raised during a `next()` call on the base stream.  This function can\n   *   decide whether the error should be propagated, whether the error should\n   *   be ignored, or whether the base stream should be terminated.\n   * @returns A `LazyIterator`.\n   */\n  concatenate(\n      iterator: LazyIterator<T>,\n      baseErrorHandler?: (e: Error) => boolean): LazyIterator<T> {\n    return new ChainedIterator(\n        iteratorFromItems([this, iterator]), baseErrorHandler);\n  }\n\n  /**\n   * Limits this stream to return at most `count` items.\n   *\n   * @param count The maximum number of items to provide from the stream. If\n   * a negative or undefined value is given, the entire stream is returned\n   *   unaltered.\n   */\n  take(count: number): LazyIterator<T> {\n    if (count < 0 || count == null) {\n      return this;\n    }\n    return new TakeIterator(this, count);\n  }\n\n  /**\n   * Skips the first `count` items in this stream.\n   *\n   * @param count The number of items to skip.  If a negative or undefined\n   * value is given, the entire stream is returned unaltered.\n   */\n  skip(count: number): LazyIterator<T> {\n    if (count < 0 || count == null) {\n      return this;\n    }\n    return new SkipIterator(this, count);\n  }\n\n  /**\n   * Prefetch the first `bufferSize` items in this stream.\n   *\n   * Note this prefetches Promises, but makes no guarantees about when those\n   * Promises resolve.\n   *\n   * @param bufferSize: An integer specifying the number of elements to be\n   *   prefetched.\n   */\n  prefetch(bufferSize: number): LazyIterator<T> {\n    return new PrefetchIterator(this, bufferSize);\n  }\n\n  // TODO(soergel): deep sharded shuffle, where supported\n\n  /**\n   * Randomly shuffles the elements of this stream.\n   *\n   * @param bufferSize: An integer specifying the number of elements from\n   * this stream from which the new stream will sample.\n   * @param seed: (Optional.) An integer specifying the random seed that\n   * will be used to create the distribution.\n   */\n  shuffle(windowSize: number, seed?: string): LazyIterator<T> {\n    return new ShuffleIterator(this, windowSize, seed);\n  }\n\n  /**\n   * Force an iterator to execute serially: each next() call will await the\n   * prior one, so that they cannot execute concurrently.\n   */\n  serial(): LazyIterator<T> {\n    return new SerialIterator(this);\n  }\n}\n\n// ============================================================================\n// The following private classes serve to implement the chainable methods\n// on LazyIterator.  Unfortunately they can't be placed in separate files,\n// due to resulting trouble with circular imports.\n// ============================================================================\n\n// Iterators that just extend LazyIterator directly\n// ============================================================================\n\nclass ArrayIterator<T> extends LazyIterator<T> {\n  private trav = 0;\n  constructor(protected items: T[]) {\n    super();\n  }\n\n  summary() {\n    return `Array of ${this.items.length} items`;\n  }\n\n  async next(): Promise<IteratorResult<T>> {\n    if (this.trav >= this.items.length) {\n      return {value: null, done: true};\n    }\n    const item = this.items[this.trav];\n    this.trav++;\n    return {value: deepClone(item), done: false};\n  }\n}\n\nclass FunctionCallIterator<T> extends LazyIterator<T> {\n  constructor(\n      protected nextFn: () => IteratorResult<T>| Promise<IteratorResult<T>>) {\n    super();\n  }\n\n  summary() {\n    return `Function call`;\n  }\n\n  async next(): Promise<IteratorResult<T>> {\n    try {\n      return this.nextFn();\n    } catch (e) {\n      // Modify the error message but leave the stack trace intact\n      e.message =\n          `Error thrown while iterating through a dataset: ${e.message}`;\n      throw e;\n    }\n  }\n}\n\nclass SerialIterator<T> extends LazyIterator<T> {\n  // Strict Promise execution order:\n  // a next() call may not even begin until the previous one completes.\n  private lastRead: Promise<IteratorResult<T>>;\n\n  constructor(protected upstream: LazyIterator<T>) {\n    super();\n    this.lastRead = Promise.resolve({value: null, done: false});\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> Serial`;\n  }\n\n  async next(): Promise<IteratorResult<T>> {\n    // This sets this.lastRead to a new Promise right away, as opposed to\n    // saying `await this.lastRead; this.lastRead = this.serialNext();` which\n    // would not work because this.nextRead would be updated only after the\n    // promise resolves.\n    this.lastRead = this.lastRead.then(() => this.serialNext());\n    return this.lastRead;\n  }\n\n  private async serialNext(): Promise<IteratorResult<T>> {\n    return this.upstream.next();\n  }\n}\n\nclass SkipIterator<T> extends LazyIterator<T> {\n  // Strict Promise execution order:\n  // a next() call may not even begin until the previous one completes.\n  private lastRead: Promise<IteratorResult<T>>;\n\n  // Local state that should not be clobbered by out-of-order execution.\n  count = 0;\n\n  constructor(protected upstream: LazyIterator<T>, protected maxCount: number) {\n    super();\n    this.lastRead = Promise.resolve({value: null, done: false});\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> Skip`;\n  }\n\n  async next(): Promise<IteratorResult<T>> {\n    // This sets this.lastRead to a new Promise right away, as opposed to\n    // saying `await this.lastRead; this.lastRead = this.serialNext();` which\n    // would not work because this.nextRead would be updated only after the\n    // promise resolves.\n    this.lastRead = this.lastRead.then(() => this.serialNext());\n    return this.lastRead;\n  }\n\n  private async serialNext(): Promise<IteratorResult<T>> {\n    // TODO(soergel): consider tradeoffs of reading in parallel, eg.\n    // collecting next() promises in an Array and then waiting for\n    // Promise.all() of those. Benefit: pseudo-parallel execution.  Drawback:\n    // maybe delayed GC.\n    while (this.count++ < this.maxCount) {\n      const skipped = await this.upstream.next();\n      // short-circuit if upstream is already empty\n      if (skipped.done) {\n        return skipped;\n      }\n      tf.dispose(skipped.value as {});\n    }\n    return this.upstream.next();\n  }\n}\n\nclass TakeIterator<T> extends LazyIterator<T> {\n  count = 0;\n  constructor(protected upstream: LazyIterator<T>, protected maxCount: number) {\n    super();\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> Take`;\n  }\n\n  async next(): Promise<IteratorResult<T>> {\n    if (this.count++ >= this.maxCount) {\n      return {value: null, done: true};\n    }\n    return this.upstream.next();\n  }\n}\n\n// Note this batch just groups items into row-wise element arrays.\n// Rotating these to a column-wise representation happens only at the dataset\n// level.\nclass RowMajorBatchIterator<T> extends LazyIterator<T[]> {\n  // Strict Promise execution order:\n  // a next() call may not even begin until the previous one completes.\n  private lastRead: Promise<IteratorResult<T[]>>;\n\n  constructor(\n      protected upstream: LazyIterator<T>, protected batchSize: number,\n      protected enableSmallLastBatch = true) {\n    super();\n    this.lastRead = Promise.resolve({value: null, done: false});\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> RowMajorBatch`;\n  }\n\n  async next(): Promise<IteratorResult<T[]>> {\n    // This sets this.lastRead to a new Promise right away, as opposed to\n    // saying `await this.lastRead; this.lastRead = this.serialNext();` which\n    // would not work because this.nextRead would be updated only after the\n    // promise resolves.\n    this.lastRead = this.lastRead.then(() => this.serialNext());\n    return this.lastRead;\n  }\n\n  private async serialNext(): Promise<IteratorResult<T[]>> {\n    const batch: T[] = [];\n    while (batch.length < this.batchSize) {\n      const item = await this.upstream.next();\n      if (item.done) {\n        if (this.enableSmallLastBatch && batch.length > 0) {\n          return {value: batch, done: false};\n        }\n        return {value: null, done: true};\n      }\n      batch.push(item.value);\n    }\n    return {value: batch, done: false};\n  }\n}\n\nclass FilterIterator<T> extends LazyIterator<T> {\n  // Strict Promise execution order:\n  // a next() call may not even begin until the previous one completes.\n  private lastRead: Promise<IteratorResult<T>>;\n\n  constructor(\n      protected upstream: LazyIterator<T>,\n      protected predicate: (value: T) => boolean) {\n    super();\n    this.lastRead = Promise.resolve({value: null, done: false});\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> Filter`;\n  }\n\n  async next(): Promise<IteratorResult<T>> {\n    // This sets this.lastRead to a new Promise right away, as opposed to\n    // saying `await this.lastRead; this.lastRead = this.serialNext();` which\n    // would not work because this.nextRead would be updated only after the\n    // promise resolves.\n    this.lastRead = this.lastRead.then(() => this.serialNext());\n    return this.lastRead;\n  }\n\n  private async serialNext(): Promise<IteratorResult<T>> {\n    while (true) {\n      const item = await this.upstream.next();\n      if (item.done || this.predicate(item.value)) {\n        return item;\n      }\n      tf.dispose(item.value as {});\n    }\n  }\n}\n\nclass MapIterator<I, O> extends LazyIterator<O> {\n  constructor(\n      protected upstream: LazyIterator<I>,\n      protected transform: (value: I) => O) {\n    super();\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> Map`;\n  }\n\n  async next(): Promise<IteratorResult<O>> {\n    const item = await this.upstream.next();\n    if (item.done) {\n      return {value: null, done: true};\n    }\n    const inputTensors = tf.tensor_util.getTensorsInContainer(item.value as {});\n    // Careful: the transform may mutate the item in place.\n    // That's why we have to remember the input Tensors above, and then\n    // below dispose only those that were not passed through to the output.\n    // Note too that the transform function is responsible for tidying\n    // any intermediate Tensors.  Here we are concerned only about the\n    // inputs.\n    const mapped = this.transform(item.value);\n    const outputTensors = tf.tensor_util.getTensorsInContainer(mapped as {});\n\n    // TODO(soergel) faster intersection\n    // TODO(soergel) move to tf.disposeExcept(in, out)?\n    for (const t of inputTensors) {\n      if (!tf.tensor_util.isTensorInList(t, outputTensors)) {\n        t.dispose();\n      }\n    }\n    return {value: mapped, done: false};\n  }\n}\n\nclass ErrorHandlingLazyIterator<T> extends LazyIterator<T> {\n  count = 0;\n  constructor(\n      protected upstream: LazyIterator<T>,\n      protected handler: (error: Error) => boolean) {\n    super();\n    this.lastRead = Promise.resolve({value: null, done: false});\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> handleErrors`;\n  }\n\n  // Strict Promise execution order:\n  // a next() call may not even begin until the previous one completes.\n  private lastRead: Promise<IteratorResult<T>>;\n\n  async next(): Promise<IteratorResult<T>> {\n    // This sets this.lastRead to a new Promise right away, as opposed to\n    // saying `await this.lastRead; this.lastRead = this.serialNext();` which\n    // would not work because this.nextRead would be updated only after the\n    // promise resolves.\n    this.lastRead = this.lastRead.then(() => this.serialNext());\n    return this.lastRead;\n  }\n\n  async serialNext(): Promise<IteratorResult<T>> {\n    while (true) {\n      try {\n        return await this.upstream.next();\n      } catch (e) {\n        if (!this.handler(e)) {\n          return {value: null, done: true};\n        }\n        // If the handler returns true, loop and fetch the next upstream item.\n\n        // If the upstream iterator throws an endless stream of errors, and if\n        // the handler says to ignore them, then we loop forever here.  That is\n        // the correct behavior-- it's up to the handler to decide when to stop.\n      }\n    }\n  }\n}\n\nclass AsyncMapIterator<I, O> extends LazyIterator<O> {\n  constructor(\n      protected upstream: LazyIterator<I>,\n      protected transform: (value: I) => Promise<O>) {\n    super();\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> AsyncMap`;\n  }\n\n  async next(): Promise<IteratorResult<O>> {\n    const item = await this.upstream.next();\n    if (item.done) {\n      return {value: null, done: true};\n    }\n    const inputTensors = tf.tensor_util.getTensorsInContainer(item.value as {});\n    // Careful: the transform may mutate the item in place.\n    // That's why we have to remember the input Tensors above, and then\n    // below dispose only those that were not passed through to the output.\n    // Note too that the transform function is responsible for tidying\n    // any intermediate Tensors.  Here we are concerned only about the\n    // inputs.\n    const mapped = await this.transform(item.value);\n    const outputTensors = tf.tensor_util.getTensorsInContainer(mapped as {});\n\n    // TODO(soergel) faster intersection\n    // TODO(soergel) move to tf.disposeExcept(in, out)?\n    for (const t of inputTensors) {\n      if (!tf.tensor_util.isTensorInList(t, outputTensors)) {\n        t.dispose();\n      }\n    }\n    return {value: mapped, done: false};\n  }\n}\n\n// Iterators that maintain a queue of pending items\n// ============================================================================\n\n/**\n * A base class for transforming streams that operate by maintaining an\n * output queue of elements that are ready to return via next().  This is\n * commonly required when the transformation is 1-to-many:  A call to next()\n * may trigger a call to the underlying stream, which will produce many\n * mapped elements of this stream-- of which we need to return only one, so\n * we have to queue the rest.\n */\nexport abstract class OneToManyIterator<T> extends LazyIterator<T> {\n  // Strict Promise execution order:\n  // a next() call may not even begin until the previous one completes.\n  private lastRead: Promise<IteratorResult<T>>;\n\n  // Local state that should not be clobbered by out-of-order execution.\n  protected outputQueue: RingBuffer<T>;\n\n  constructor() {\n    super();\n    this.outputQueue = new GrowingRingBuffer<T>();\n    this.lastRead = Promise.resolve({value: null, done: false});\n  }\n\n  async next(): Promise<IteratorResult<T>> {\n    // This sets this.lastRead to a new Promise right away, as opposed to\n    // saying `await this.lastRead; this.lastRead = this.serialNext();` which\n    // would not work because this.nextRead would be updated only after the\n    // promise resolves.\n    this.lastRead = this.lastRead.then(() => this.serialNext());\n    return this.lastRead;\n  }\n\n  /**\n   * Read one or more chunks from upstream and process them, possibly\n   * reading or writing a carryover, and adding processed items to the\n   * output queue.  Note it's possible that no items are added to the queue\n   * on a given pump() call, even if the upstream stream is not closed\n   * (e.g., because items are filtered).\n   *\n   * @return `true` if any action was taken, i.e. fetching items from the\n   *   upstream source OR adding items to the output queue.  `false` if the\n   *   upstream source is exhausted AND nothing was added to the queue\n   * (i.e., any remaining carryover).\n   */\n  protected abstract async pump(): Promise<boolean>;\n\n  async serialNext(): Promise<IteratorResult<T>> {\n    // Fetch so that the queue contains at least one item if possible.\n    // If the upstream source is exhausted, AND there are no items left in\n    // the output queue, then this stream is also exhausted.\n    while (this.outputQueue.length() === 0) {\n      // TODO(soergel): consider parallel reads.\n      if (!await this.pump()) {\n        return {value: null, done: true};\n      }\n    }\n    return {value: this.outputQueue.shift(), done: false};\n  }\n}\nclass FlatmapIterator<I, O> extends OneToManyIterator<O> {\n  constructor(\n      protected upstream: LazyIterator<I>,\n      protected transform: (value: I) => O[]) {\n    super();\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> Flatmap`;\n  }\n\n  async pump(): Promise<boolean> {\n    const item = await this.upstream.next();\n    if (item.done) {\n      return false;\n    }\n    const inputTensors = tf.tensor_util.getTensorsInContainer(item.value as {});\n    // Careful: the transform may mutate the item in place.\n    // that's why we have to remember the input Tensors above, and then\n    // below dispose only those that were not passed through to the output.\n    // Note too that the transform function is responsible for tidying any\n    // intermediate Tensors.  Here we are concerned only about the inputs.\n    const mappedArray = this.transform(item.value);\n    const outputTensors =\n        tf.tensor_util.getTensorsInContainer(mappedArray as {});\n    this.outputQueue.pushAll(mappedArray);\n\n    // TODO(soergel) faster intersection, and deduplicate outputTensors\n    // TODO(soergel) move to tf.disposeExcept(in, out)?\n    for (const t of inputTensors) {\n      if (!tf.tensor_util.isTensorInList(t, outputTensors)) {\n        t.dispose();\n      }\n    }\n\n    return true;\n  }\n}\n\n/**\n * Provides a `LazyIterator` that concatenates a stream of underlying\n * streams.\n *\n * Doing this in a concurrency-safe way requires some trickery.  In\n * particular, we want this stream to return the elements from the\n * underlying streams in the correct order according to when next() was\n * called, even if the resulting Promises resolve in a different order.\n */\nexport class ChainedIterator<T> extends LazyIterator<T> {\n  // Strict Promise execution order:\n  // a next() call may not even begin until the previous one completes.\n  private lastRead: Promise<IteratorResult<T>> = null;\n\n  // Local state that should not be clobbered by out-of-order execution.\n  private iterator: LazyIterator<T> = null;\n  private moreIterators: LazyIterator<LazyIterator<T>>;\n\n  constructor(\n      iterators: LazyIterator<LazyIterator<T>>,\n      private readonly baseErrorHandler?: (e: Error) => boolean) {\n    super();\n    this.moreIterators = iterators;\n  }\n\n  summary() {\n    const upstreamSummaries = 'TODO: fill in upstream of chained summaries';\n    return `${upstreamSummaries} -> Chained`;\n  }\n\n  async next(): Promise<IteratorResult<T>> {\n    this.lastRead = this.readFromChain(this.lastRead);\n    return this.lastRead;\n  }\n\n  private async readFromChain(lastRead: Promise<IteratorResult<T>>):\n      Promise<IteratorResult<T>> {\n    // Must await on the previous read since the previous read may have advanced\n    // the stream of streams, from which we need to read.\n    // This is unfortunate since we can't parallelize reads. Which means\n    // prefetching of chained streams is a no-op.\n    // One solution is to prefetch immediately upstream of this.\n    await lastRead;\n    if (this.iterator == null) {\n      const iteratorResult = await this.moreIterators.next();\n      if (iteratorResult.done) {\n        // No more streams to stream from.\n        return {value: null, done: true};\n      }\n      this.iterator = iteratorResult.value;\n      if (this.baseErrorHandler != null) {\n        this.iterator = this.iterator.handleErrors(this.baseErrorHandler);\n      }\n    }\n    const itemResult = await this.iterator.next();\n    if (itemResult.done) {\n      this.iterator = null;\n      return this.readFromChain(lastRead);\n    }\n    return itemResult;\n  }\n}\n\nexport enum ZipMismatchMode {\n  FAIL,      // require zipped streams to have the same length\n  SHORTEST,  // terminate zip when the first stream is exhausted\n  LONGEST    // use nulls for exhausted streams; use up the longest stream.\n}\n\n/**\n * Provides a `LazyIterator` that zips together an array, dict, or nested\n * structure of `LazyIterator`s (and perhaps additional constants).\n *\n * The underlying streams must provide elements in a consistent order such\n * that they correspond.\n *\n * Typically, the underlying streams should have the same number of\n * elements. If they do not, the behavior is determined by the\n * `mismatchMode` argument.\n *\n * The nested structure of the `iterators` argument determines the\n * structure of elements in the resulting iterator.\n *\n * Doing this in a concurrency-safe way requires some trickery.  In\n * particular, we want this stream to return the elements from the\n * underlying streams in the correct order according to when next() was\n * called, even if the resulting Promises resolve in a different order.\n *\n * @param iterators: An array or object containing LazyIterators at the\n * leaves.\n * @param mismatchMode: Determines what to do when one underlying iterator\n * is exhausted before the others.  `ZipMismatchMode.FAIL` (the default)\n * causes an error to be thrown in this case.  `ZipMismatchMode.SHORTEST`\n * causes the zipped iterator to terminate with the furst underlying\n * streams, so elements remaining on the longer streams are ignored.\n * `ZipMismatchMode.LONGEST` causes the zipped stream to continue, filling\n * in nulls for the exhausted streams, until all streams are exhausted.\n */\nclass ZipIterator<O extends tf.TensorContainer> extends LazyIterator<O> {\n  private count = 0;\n  private currentPromise: Promise<IteratorResult<O>> = null;\n\n  constructor(\n      protected readonly iterators: IteratorContainer,\n      protected readonly mismatchMode: ZipMismatchMode = ZipMismatchMode.FAIL) {\n    super();\n  }\n\n  summary() {\n    const upstreamSummaries = 'TODO: fill in upstream of zip summaries';\n    return `{${upstreamSummaries}} -> Zip`;\n  }\n\n  private async nextState(afterState: Promise<IteratorResult<O>>):\n      Promise<IteratorResult<O>> {\n    // This chaining ensures that the underlying next() are not even called\n    // before the previous ones have resolved.\n    await afterState;\n\n    // Collect underlying iterator \"done\" signals as a side effect in\n    // getNext()\n    let numIterators = 0;\n    let iteratorsDone = 0;\n\n    function getNext(container: IteratorContainer): DeepMapAsyncResult {\n      if (container instanceof LazyIterator) {\n        const result = container.next();\n        return {\n          value: result.then(x => {\n            numIterators++;\n            if (x.done) {\n              iteratorsDone++;\n            }\n            return x.value;\n          }),\n          recurse: false\n        };\n      } else {\n        return {value: null, recurse: true};\n      }\n    }\n\n    const mapped: O = await deepMapAndAwaitAll(this.iterators, getNext);\n\n    if (numIterators === iteratorsDone) {\n      // The streams have all ended.\n      return {value: null, done: true};\n    }\n    if (iteratorsDone > 0) {\n      switch (this.mismatchMode) {\n        case ZipMismatchMode.FAIL:\n          throw new Error(\n              'Zipped streams should have the same length. ' +\n              `Mismatched at element ${this.count}.`);\n        case ZipMismatchMode.SHORTEST:\n          return {value: null, done: true};\n        case ZipMismatchMode.LONGEST:\n        default:\n          // Continue.  The exhausted streams already produced value: null.\n      }\n    }\n\n    this.count++;\n    return {value: mapped, done: false};\n  }\n\n  async next(): Promise<IteratorResult<O>> {\n    this.currentPromise = this.nextState(this.currentPromise);\n    return this.currentPromise;\n  }\n}\n\n// Iterators that maintain a ring buffer of pending promises\n// ============================================================================\n\n/**\n * A stream that prefetches a given number of items from an upstream source,\n * returning them in FIFO order.\n *\n * Note this prefetches Promises, but makes no guarantees about when those\n * Promises resolve.\n */\nexport class PrefetchIterator<T> extends LazyIterator<T> {\n  protected buffer: RingBuffer<Promise<IteratorResult<T>>>;\n\n  constructor(\n      protected upstream: LazyIterator<T>, protected bufferSize: number) {\n    super();\n    this.buffer = new RingBuffer<Promise<IteratorResult<T>>>(bufferSize);\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> Prefetch`;\n  }\n\n  /**\n   * Refill the prefetch buffer.  Returns only after the buffer is full, or\n   * the upstream source is exhausted.\n   */\n  protected refill() {\n    while (!this.buffer.isFull()) {\n      const v = this.upstream.next();\n      this.buffer.push(v);\n    }\n  }\n\n  next(): Promise<IteratorResult<T>> {\n    this.refill();\n    // This shift will never throw an error because the buffer is always\n    // full after a refill. If the stream is exhausted, the buffer will be\n    // full of Promises that will resolve to the end-of-stream signal.\n    return this.buffer.shift();\n  }\n}\n\n/**\n * A stream that performs a sliding-window random shuffle on an upstream\n * source. This is like a `PrefetchIterator` except that the items are\n * returned in randomized order.  Mixing naturally improves as the buffer\n * size increases.\n */\nexport class ShuffleIterator<T> extends PrefetchIterator<T> {\n  private readonly random: seedrandom.prng;\n\n  // Strict Promise execution order:\n  // a next() call may not even begin until the previous one completes.\n  private lastRead: Promise<IteratorResult<T>>;\n\n  // Local state that should not be clobbered by out-of-order execution.\n  private upstreamExhausted = false;\n\n  constructor(\n      protected upstream: LazyIterator<T>, protected windowSize: number,\n      seed?: string) {\n    super(upstream, windowSize);\n    this.random = seedrandom.alea(seed || tf.util.now().toString());\n    this.lastRead = Promise.resolve({value: null, done: false});\n  }\n\n  async next(): Promise<IteratorResult<T>> {\n    // This sets this.lastRead to a new Promise right away, as opposed to\n    // saying `await this.lastRead; this.lastRead = this.serialNext();` which\n    // would not work because this.nextRead would be updated only after the\n    // promise resolves.\n    this.lastRead = this.lastRead.then(() => this.serialNext());\n    return this.lastRead;\n  }\n\n  private randomInt(max: number) {\n    return Math.floor(this.random() * max);\n  }\n\n  protected chooseIndex(): number {\n    return this.randomInt(this.buffer.length());\n  }\n\n  async serialNext(): Promise<IteratorResult<T>> {\n    // TODO(soergel): consider performance\n    if (!this.upstreamExhausted) {\n      this.refill();\n    }\n    while (!this.buffer.isEmpty()) {\n      const chosenIndex = this.chooseIndex();\n      const result = await this.buffer.shuffleExcise(chosenIndex);\n      if (result.done) {\n        this.upstreamExhausted = true;\n      } else {\n        this.refill();\n        return result;\n      }\n    }\n    return {value: null, done: true};\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport * as tf from '@tensorflow/tfjs-core';\nimport {TensorLike} from '@tensorflow/tfjs-core';\nimport * as seedrandom from 'seedrandom';\nimport {iteratorFromConcatenated, iteratorFromFunction, iteratorFromItems, iteratorFromZipped, LazyIterator, ZipMismatchMode} from './iterators/lazy_iterator';\nimport {Container, DataElement} from './types';\nimport {canTensorify, deepMapAndAwaitAll, DeepMapResult, isIterable} from './util/deep_map';\n\n/**\n * A nested structure of Datasets, used as the input to zip().\n */\nexport type DatasetContainer = Container<Dataset<DataElement>>;\n\n// TODO(soergel): consider vectorized operations within the pipeline.\n\n/**\n * Represents a potentially large list of independent data elements (typically\n * 'samples' or 'examples').\n *\n * A 'data example' may be a primitive, an array, a map from string keys to\n * values, or any nested structure of these.\n *\n * A `Dataset` represents an ordered collection of elements, together with a\n * chain of transformations to be performed on those elements. Each\n * transformation is a method of `Dataset` that returns another `Dataset`, so\n * these may be chained, e.g.\n * `const processedDataset = rawDataset.filter(...).map(...).batch(...)`.\n *\n * Data loading and transformation is done in a lazy, streaming fashion.  The\n * dataset may be iterated over multiple times; each iteration starts the data\n * loading anew and recapitulates the transformations.\n *\n * A `Dataset` is typically processed as a stream of unbatched examples --i.e.,\n * its transformations are applied one example at a time. Batching produces a\n * new `Dataset` where each element is a batch. Batching should usually come\n * last in a pipeline, because data transformations are easier to express on a\n * per-example basis than on a per-batch basis.\n *\n * The following code examples are calling `await dataset.forEachAsync(...)` to\n * iterate once over the entire dataset in order to print out the data.\n */\n/** @doc {heading: 'Data', subheading: 'Classes', namespace: 'data'} */\nexport abstract class Dataset<T extends tf.TensorContainer> {\n  /*\n   * Provide a new stream of elements.  Note this will also start new streams\n   * from any underlying `Dataset`s.\n   *\n   * CAUTION: Any Tensors contained within the elements returned from\n   * this stream *must* be manually disposed to avoid a GPU memory leak.\n   * The tf.tidy() approach cannot be used in an asynchronous context.\n   */\n  abstract async iterator(): Promise<LazyIterator<T>>;\n\n  readonly size: number = null;\n\n  // TODO(soergel): Make Datasets report whether repeated iterator() calls\n  // produce the same result (e.g., reading from a file) or different results\n  // (e.g., from the webcam).  Currently we don't make this distinction but it\n  // could be important for the user to know.\n  // abstract isDeterministic(): boolean;\n\n  /**\n   * Groups elements into batches.\n   *\n   * It is assumed that each of the incoming dataset elements has the same\n   * structure-- i.e. the same set of keys at each location in an object\n   * hierarchy.  For each key, the resulting `Dataset` provides a batched\n   * element collecting all of the incoming values for that key.\n   *\n   *  * Incoming primitives are grouped into a 1-D Tensor.\n   *  * Incoming Tensors are grouped into a new Tensor where the 0'th axis is\n   *    the batch dimension.\n   *  * Incoming arrays are converted to Tensor and then batched.\n   *  * A nested array is interpreted as an n-D Tensor, so the batched result\n   *    has n+1 dimensions.\n   *  * An array that cannot be converted to Tensor produces an error.\n   *\n   * If an array should not be batched as a unit, it should first be converted\n   * to an object with integer keys.\n   *\n   * Here are a few examples:\n   *\n   * Batch a dataset of numbers:\n   * ```js\n   * const a = tf.data.array([1, 2, 3, 4, 5, 6, 7, 8]).batch(4);\n   * await a.forEachAsync(e => e.print());\n   * ```\n   *\n   * Batch a dataset of arrays:\n   * ```js\n   * const b = tf.data.array([[1], [2], [3], [4], [5], [6], [7], [8]]).batch(4);\n   * await b.forEachAsync(e => e.print());\n   * ```\n   *\n   * Batch a dataset of objects:\n   * ```js\n   * const c = tf.data.array([{a: 1, b: 11}, {a: 2, b: 12}, {a: 3, b: 13},\n   *   {a: 4, b: 14}, {a: 5, b: 15}, {a: 6, b: 16}, {a: 7, b: 17},\n   *   {a: 8, b: 18}]).batch(4);\n   * await c.forEachAsync(e => {\n   *   console.log('{');\n   *   for(var key in e) {\n   *     console.log(key+':');\n   *     e[key].print();\n   *   }\n   *   console.log('}');\n   * })\n   * ```\n   *\n   * @param batchSize The number of elements desired per batch.\n   * @param smallLastBatch Whether to emit the final batch when it has fewer\n   *   than batchSize elements. Default true.\n   * @returns A `Dataset`, from which a stream of batches can be obtained.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  batch(batchSize: number, smallLastBatch = true): Dataset<tf.TensorContainer> {\n    const base = this;\n    tf.util.assert(\n        batchSize > 0, () => `batchSize needs to be positive, but it is\n      ${batchSize}`);\n    let size;\n    if (this.size === Infinity || this.size == null) {\n      // If the size of this dataset is infinity or null, the new size keeps the\n      // same.\n      size = this.size;\n    } else if (smallLastBatch) {\n      // If the size of this dataset is known and include small last batch, the\n      // new size is full batch count plus last batch.\n      size = Math.ceil(this.size / batchSize);\n    } else {\n      // If the size of this dataset is known and not include small last batch,\n      // the new size is full batch count.\n      size = Math.floor(this.size / batchSize);\n    }\n    return datasetFromIteratorFn(async () => {\n      return (await base.iterator())\n          .columnMajorBatch(batchSize, smallLastBatch, deepBatchConcat);\n    }, size);\n  }\n\n  /**\n   * Concatenates this `Dataset` with another.\n   *\n   * ```js\n   * const a = tf.data.array([1, 2, 3]);\n   * const b = tf.data.array([4, 5, 6]);\n   * const c = a.concatenate(b);\n   * await c.forEachAsync(e => console.log(e));\n   * ```\n   *\n   * @param dataset A `Dataset` to be concatenated onto this one.\n   * @returns A `Dataset`.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  concatenate(dataset: Dataset<T>): Dataset<T> {\n    const base = this;\n    let size;\n    if (this.size === Infinity || dataset.size === Infinity) {\n      // If the size of any of these two dataset is infinity, new size is\n      // infinity.\n      size = Infinity;\n    } else if (this.size != null && dataset.size != null) {\n      // If the size of both datasets are known and not infinity, new size is\n      // sum the size of these two datasets.\n      size = this.size + dataset.size;\n    } else {\n      // If neither of these two datasets has infinite size and any of these two\n      // datasets' size is null, the new size is null.\n      size = null;\n    }\n    return datasetFromIteratorFn(\n        async () =>\n            (await base.iterator()).concatenate(await dataset.iterator()),\n        size);\n  }\n\n  /**\n   * Filters this dataset according to `predicate`.\n   *\n   * ```js\n   * const a = tf.data.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])\n   *   .filter(x => x%2 === 0);\n   * await a.forEachAsync(e => console.log(e));\n   * ```\n   *\n   * @param predicate A function mapping a dataset element to a boolean or a\n   * `Promise` for one.\n   *\n   * @returns A `Dataset` of elements for which the predicate was true.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  filter(predicate: (value: T) => boolean): Dataset<T> {\n    const base = this;\n    let size;\n    if (this.size === Infinity) {\n      // If the size of this dataset is infinity, new size is infinity\n      size = Infinity;\n    } else {\n      // If this dataset has limited elements, new size is null because it might\n      // exhausted randomly.\n      size = null;\n    }\n    return datasetFromIteratorFn(async () => {\n      return (await base.iterator()).filter(x => tf.tidy(() => predicate(x)));\n    }, size);\n  }\n\n  /**\n   * Apply a function to every element of the dataset.\n   *\n   * After the function is applied to a dataset element, any Tensors contained\n   * within that element are disposed.\n   *\n   * ```js\n   * const a = tf.data.array([1, 2, 3]);\n   * await a.forEachAsync(e => console.log(e));\n   * ```\n   *\n   * @param f A function to apply to each dataset element.\n   * @returns A `Promise` that resolves after all elements have been processed.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  async forEachAsync(f: (input: T) => void): Promise<void> {\n    return (await this.iterator()).forEachAsync(f);\n  }\n\n  /** @deprecated Please use `dataset.forEachAsync()` instead. */\n  async forEach(f: (input: T) => void): Promise<void> {\n    tf.deprecationWarn(\n        'dataset.forEach() is deprecated and will be removed. ' +\n        'Please use dataset.forEachAsync() instead');\n    return this.forEachAsync(f);\n  }\n\n  /**\n   * Maps this dataset through a 1-to-1 transform.\n   *\n   * ```js\n   * const a = tf.data.array([1, 2, 3]).map(x => x*x);\n   * await a.forEachAsync(e => console.log(e));\n   * ```\n   *\n   * @param transform A function mapping a dataset element to a transformed\n   *   dataset element.\n   *\n   * @returns A `Dataset` of transformed elements.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  map<O extends tf.TensorContainer>(transform: (value: T) => O): Dataset<O> {\n    const base = this;\n    return datasetFromIteratorFn(async () => {\n      return (await base.iterator()).map(x => tf.tidy(() => transform(x)));\n    }, this.size);\n  }\n\n  /**\n   * Maps this dataset through an async 1-to-1 transform.\n   *\n   * ```js\n   * const a =\n   *  tf.data.array([1, 2, 3]).mapAsync(x => new Promise(function(resolve){\n   *    setTimeout(() => {\n   *      resolve(x * x);\n   *    }, Math.random()*1000 + 500);\n   *  }));\n   * console.log(await a.toArray());\n   * ```\n   *\n   * @param transform A function mapping a dataset element to a `Promise` for a\n   *   transformed dataset element.  This transform is responsible for disposing\n   *   any intermediate `Tensor`s, i.e. by wrapping its computation in\n   *   `tf.tidy()`; that cannot be automated here (as it is in the synchronous\n   *   `map()` case).\n   *\n   * @returns A `Dataset` of transformed elements.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  mapAsync<O extends tf.TensorContainer>(transform: (value: T) => Promise<O>):\n      Dataset<O> {\n    const base = this;\n    return datasetFromIteratorFn(async () => {\n      return (await base.iterator()).mapAsync(transform);\n    }, this.size);\n  }\n\n  /**\n   *  Creates a `Dataset` that prefetches elements from this dataset.\n   *\n   * @param bufferSize: An integer specifying the number of elements to be\n   *   prefetched.\n   * @returns A `Dataset`.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  prefetch(bufferSize: number): Dataset<T> {\n    if (bufferSize == null) {\n      throw new RangeError(\n          '`Dataset.prefetch()` requires bufferSize to be specified.');\n    }\n\n    const base = this;\n    return datasetFromIteratorFn(\n        async () => (await base.iterator()).prefetch(bufferSize), this.size);\n  }\n\n  /**\n   * Repeats this dataset `count` times.\n   *\n   * NOTE: If this dataset is a function of global state (e.g. a random number\n   * generator), then different repetitions may produce different elements.\n   *\n   * ```js\n   * const a = tf.data.array([1, 2, 3]).repeat(3);\n   * await a.forEachAsync(e => console.log(e));\n   * ```\n   *\n   * @param count: (Optional) An integer, representing the number of times\n   *   the dataset should be repeated. The default behavior (if `count` is\n   *   `undefined` or negative) is for the dataset be repeated indefinitely.\n   * @returns A `Dataset`.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  repeat(count?: number): Dataset<T> {\n    const base = this;\n    let size;\n    if (this.size != null && count > 0) {\n      // If this dataset has size and count is positive, new size is current\n      // size multiply count. This also covers the case that current size is\n      // infinity.\n      size = this.size * count;\n    } else if (count === 0) {\n      // If count is 0, new size is 0.\n      size = 0;\n    } else if (this.size != null && (count === undefined || count < 0)) {\n      // If this dataset has size and count is undefined or negative, the\n      // dataset will be repeated indefinitely and new size is infinity.\n      size = Infinity;\n    } else {\n      // If the size of this dataset is null, the new dataset's size is null.\n      size = null;\n    }\n    return datasetFromIteratorFn(async () => {\n      const iteratorIterator = iteratorFromFunction(\n          async () => ({value: await base.iterator(), done: false}));\n      return iteratorFromConcatenated(iteratorIterator.take(count));\n    }, size);\n  }\n\n  /**\n   * Creates a `Dataset` that skips `count` initial elements from this dataset.\n   *\n   * ```js\n   * const a = tf.data.array([1, 2, 3, 4, 5, 6]).skip(3);\n   * await a.forEachAsync(e => console.log(e));\n   * ```\n   *\n   * @param count: The number of elements of this dataset that should be skipped\n   *   to form the new dataset.  If `count` is greater than the size of this\n   *   dataset, the new dataset will contain no elements.  If `count`\n   *   is `undefined` or negative, skips the entire dataset.\n   *\n   * @returns A `Dataset`.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  skip(count: number): Dataset<T> {\n    const base = this;\n    let size;\n    if (this.size != null && count >= 0 && this.size >= count) {\n      // If the size of this dataset is greater than count, the new dataset's\n      // size is current size minus skipped size.This also covers the case that\n      // current size is infinity.\n      size = this.size - count;\n    } else if (\n        this.size != null &&\n        (this.size < count || count === undefined || count < 0)) {\n      // If the size of this dataset is smaller than count, or count is\n      // undefined or negative, skips the entire dataset and the new size is 0.\n      size = 0;\n    } else {\n      // If the size of this dataset is null, the new dataset's size is null.\n      size = null;\n    }\n    return datasetFromIteratorFn(\n        async () => (await base.iterator()).skip(count), size);\n  }\n\n  // TODO(soergel): deep sharded shuffle, where supported\n\n  static readonly MAX_BUFFER_SIZE = 10000;\n\n  /**\n   * Pseudorandomly shuffles the elements of this dataset. This is done in a\n   * streaming manner, by sampling from a given number of prefetched elements.\n   *\n   * ```js\n   * const a = tf.data.array([1, 2, 3, 4, 5, 6]).shuffle(3);\n   * await a.forEachAsync(e => console.log(e));\n   * ```\n   *\n   * @param bufferSize: An integer specifying the number of elements from this\n   *   dataset from which the new dataset will sample.\n   * @param seed: (Optional) An integer specifying the random seed that will\n   *   be used to create the distribution.\n   * @param reshuffleEachIteration: (Optional) A boolean, which if true\n   *   indicates that the dataset should be pseudorandomly reshuffled each time\n   *   it is iterated over. If false, elements will be returned in the same\n   *   shuffled order on each iteration. (Defaults to `true`.)\n   * @returns A `Dataset`.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  shuffle(bufferSize: number, seed?: string, reshuffleEachIteration = true):\n      Dataset<T> {\n    if (bufferSize == null || bufferSize < 0) {\n      if (this.size == null) {\n        throw new RangeError(\n            '`Dataset.shuffle()` requires bufferSize to be specified.');\n      } else {\n        throw new RangeError(\n            '`Dataset.shuffle()` requires bufferSize to be specified.  ' +\n            'If your data fits in main memory (for regular JS objects), ' +\n            'and/or GPU memory (for `tf.Tensor`s), consider setting ' +\n            `bufferSize to the dataset size (${this.size} elements)`);\n      }\n    }\n    const base = this;\n    const random = seedrandom.alea(seed || tf.util.now().toString());\n    return datasetFromIteratorFn(async () => {\n      let seed2 = random.int32();\n      if (reshuffleEachIteration) {\n        seed2 += random.int32();\n      }\n      return (await base.iterator()).shuffle(bufferSize, seed2.toString());\n    }, this.size);\n  }\n\n  /**\n   * Creates a `Dataset` with at most `count` initial elements from this\n   * dataset.\n   *\n   * ```js\n   * const a = tf.data.array([1, 2, 3, 4, 5, 6]).take(3);\n   * await a.forEachAsync(e => console.log(e));\n   * ```\n   *\n   * @param count: The number of elements of this dataset that should be taken\n   *   to form the new dataset.  If `count` is `undefined` or negative, or if\n   *   `count` is greater than the size of this dataset, the new dataset will\n   *   contain all elements of this dataset.\n   * @returns A `Dataset`.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  take(count: number): Dataset<T> {\n    const base = this;\n    let size;\n    if (this.size != null && this.size > count) {\n      // If the size of this dataset is greater than count, the new dataset's\n      // size is count.\n      size = count;\n    } else if (this.size != null && this.size <= count) {\n      // If the size of this dataset is equal or smaller than count, the new\n      // dataset's size is the size of this dataset.\n      size = this.size;\n    } else {\n      // If the size of this dataset is null, the new dataset's size is null.\n      size = null;\n    }\n    return datasetFromIteratorFn(\n        async () => (await base.iterator()).take(count), size);\n  }\n\n  /**\n   * Collect all elements of this dataset into an array.\n   *\n   * Obviously this will succeed only for small datasets that fit in memory.\n   * Useful for testing and generally should be avoided if possible.\n   *\n   * ```js\n   * const a = tf.data.array([1, 2, 3, 4, 5, 6]);\n   * console.log(await a.toArray());\n   * ```\n   *\n   * @returns A Promise for an array of elements, which will resolve\n   *   when a new stream has been obtained and fully consumed.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  async toArray() {\n    if (this.size === Infinity) {\n      throw new Error('Can not convert infinite data stream to array.');\n    }\n    return (await this.iterator()).toArray();\n  }\n\n  /**\n   * Collect all elements of this dataset into an array with prefetching 100\n   * elements. This is useful for testing, because the prefetch changes the\n   * order in which the Promises are resolved along the processing pipeline.\n   * This may help expose bugs where results are dependent on the order of\n   * Promise resolution rather than on the logical order of the stream (i.e.,\n   * due to hidden mutable state).\n   *\n   * @returns A Promise for an array of elements, which will resolve\n   *   when a new stream has been obtained and fully consumed.\n   */\n  async toArrayForTest() {\n    if (this.size === Infinity) {\n      throw new Error('Can not convert infinite data stream to array.');\n    }\n    return (await this.iterator()).toArrayForTest();\n  }\n}\n\n/**\n * Create a `Dataset` defined by a provided iterator() function.\n *\n * ```js\n * let i = -1;\n * const func = () =>\n *    ++i < 5 ? {value: i, done: false} : {value: null, done: true};\n * const iter = tf.data.iteratorFromFunction(func);\n * const ds = tf.data.datasetFromIteratorFn(iter);\n * await ds.forEachAsync(e => console.log(e));\n * ```\n */\nexport function datasetFromIteratorFn<T extends tf.TensorContainer>(\n    iteratorFn: () => Promise<LazyIterator<T>>,\n    size: number = null): Dataset<T> {\n  return new class extends Dataset<T> {\n    size = size;\n\n    /*\n     * Provide a new stream of elements.  Note this will also start new streams\n     * from any underlying `Dataset`s.\n     */\n    async iterator(): Promise<LazyIterator<T>> {\n      return iteratorFn();\n    }\n  }\n  ();\n}\n\n/**\n * Create a `Dataset` from an array of elements.\n *\n * Create a Dataset from an array of objects:\n * ```js\n * const a = tf.data.array([{'item': 1}, {'item': 2}, {'item': 3}]);\n * await a.forEachAsync(e => console.log(e));\n * ```\n *\n * Create a Dataset from an array of numbers:\n * ```js\n * const a = tf.data.array([4, 5, 6]);\n * await a.forEachAsync(e => console.log(e));\n * ```\n * @param items An array of elements that will be parsed as items in a dataset.\n */\n/** @doc {heading: 'Data', subheading: 'Creation', namespace: 'data'} */\nexport function array<T extends tf.TensorContainer>(items: T[]): Dataset<T> {\n  return datasetFromIteratorFn(\n      async () => iteratorFromItems(items), items.length);\n}\n\n/**\n * Create a `Dataset` by zipping together an array, dict, or nested\n * structure of `Dataset`s (and perhaps additional constants).\n * The underlying datasets must provide elements in a consistent order such that\n * they correspond.\n *\n * The number of elements in the resulting dataset is the same as the size of\n * the smallest dataset in datasets.\n *\n * The nested structure of the `datasets` argument determines the\n * structure of elements in the resulting iterator.\n *\n * Note this means that, given an array of two datasets that produce dict\n * elements, the result is a dataset that produces elements that are arrays\n * of two dicts:\n *\n * Zip an array of datasets:\n * ```js\n * console.log('Zip two datasets of objects:');\n * const ds1 = tf.data.array([{a: 1}, {a: 2}, {a: 3}]);\n * const ds2 = tf.data.array([{b: 4}, {b: 5}, {b: 6}]);\n * const ds3 = tf.data.zip([ds1, ds2]);\n * await ds3.forEachAsync(e => console.log(JSON.stringify(e)));\n *\n * // If the goal is to merge the dicts in order to produce elements like\n * // {a: ..., b: ...}, this requires a second step such as:\n * console.log('Merge the objects:');\n * const ds4 = ds3.map(x => {return {a: x[0].a, b: x[1].b}});\n * await ds4.forEachAsync(e => console.log(e));\n * ```\n *\n * Zip a dict of datasets:\n * ```js\n * const a = tf.data.array([{a: 1}, {a: 2}, {a: 3}]);\n * const b = tf.data.array([{b: 4}, {b: 5}, {b: 6}]);\n * const c = tf.data.zip({c: a, d: b});\n * await c.forEachAsync(e => console.log(JSON.stringify(e)));\n * ```\n */\n/** @doc {heading: 'Data', subheading: 'Operations', namespace: 'data'} */\nexport function zip<O extends tf.TensorContainer>(datasets: DatasetContainer):\n    Dataset<O> {\n  // manually type-check the argument for JS users\n  if (!isIterable(datasets)) {\n    throw new Error('The argument to zip() must be an object or array.');\n  }\n  let size;\n  if (Array.isArray(datasets)) {\n    for (let i = 0; i < datasets.length; i++) {\n      size = size == null ? (datasets[i] as Dataset<O>).size :\n                            Math.min(size, (datasets[i] as Dataset<O>).size);\n    }\n  } else if (datasets instanceof Object) {\n    for (const ds in datasets) {\n      size = size == null ? (datasets[ds] as Dataset<O>).size :\n                            Math.min(size, (datasets[ds] as Dataset<O>).size);\n    }\n  }\n  return datasetFromIteratorFn<O>(async () => {\n    const streams = await deepMapAndAwaitAll(datasets, d => {\n      if (d instanceof Dataset) {\n        return {value: d.iterator(), recurse: false};\n      } else if (isIterable(d)) {\n        return {value: null, recurse: true};\n      } else {\n        throw new Error(\n            'Leaves of the structure passed to zip() must be Datasets, ' +\n            'not primitives.');\n      }\n    });\n    return iteratorFromZipped<O>(streams, ZipMismatchMode.SHORTEST);\n  }, size);\n}\n\n/**\n * A zip function for use with deepZip, passed via the columnMajorBatch call.\n *\n * Accepts an array of identically-structured nested elements and either batches\n * them (if they are primitives, numeric arrays, or Tensors) or requests\n * recursion (if not).\n */\n// tslint:disable-next-line:no-any\nfunction deepBatchConcat(rows: any[]): DeepMapResult {\n  if (rows === null) {\n    return null;\n  }\n\n  // use the first item to decide whether to recurse or batch here.\n  const exampleRow = rows[0];\n\n  if (canTensorify(exampleRow)) {\n    // rows is an array of primitives, Tensors, or arrays.  Batch them.\n    const value = batchConcat(rows);\n    return {value, recurse: false};\n  }\n\n  // the example row is an object, so recurse into it.\n  return {value: null, recurse: true};\n}\n\n/**\n * Assembles a list of same-shaped numbers, number arrays, or Tensors\n * into a single new Tensor where axis 0 is the batch dimension.\n */\nfunction batchConcat<T extends(TensorLike | tf.Tensor)>(arrays: T[]):\n    tf.Tensor {\n  if (arrays.length === 0) {\n    // We can't return an empty Tensor because we don't know the element shape.\n    throw new Error('Can\\'t make a batch of zero elements.');\n  }\n\n  if (arrays[0] instanceof tf.Tensor) {\n    // Input is an array of Tensors\n    return tf.stack(arrays as tf.Tensor[]);\n  } else {\n    // Input is a possibly-nested array of numbers.\n    return tf.tensor(arrays as TensorLike);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {Dataset} from '../dataset';\nimport {DataSource} from '../datasource';\nimport {LazyIterator} from '../iterators/lazy_iterator';\n\n/**\n * Represents a potentially large collection of text lines.\n *\n * The results are not batched.\n */\nexport class TextLineDataset extends Dataset<string> {\n  /**\n   * Create a `TextLineDataset`.\n   *\n   * @param input A `DataSource` providing a chunked, UTF8-encoded byte stream.\n   */\n  constructor(protected readonly input: DataSource) {\n    super();\n  }\n\n  async iterator(): Promise<LazyIterator<string>> {\n    const inputIterator = await this.input.iterator();\n    const utf8Iterator = inputIterator.decodeUTF8();\n    const lineIterator = utf8Iterator.split('\\n').map(line => {\n      // Windows/DOS format text file has extra line breaker at the end of line.\n      if (line.endsWith('\\r')) {\n        line = line.slice(0, -1);\n      }\n      return line;\n    });\n    return lineIterator;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {TensorContainer, util} from '@tensorflow/tfjs-core';\nimport {Dataset} from '../dataset';\nimport {DataSource} from '../datasource';\nimport {LazyIterator} from '../iterators/lazy_iterator';\nimport {ColumnConfig, CSVConfig} from '../types';\nimport {TextLineDataset} from './text_line_dataset';\n\nconst CODE_QUOTE = '\"';\nconst STATE_OUT = Symbol('out');\nconst STATE_FIELD = Symbol('field');\nconst STATE_QUOTE = Symbol('quote');\nconst STATE_QUOTE_AFTER_QUOTE = Symbol('quoteafterquote');\nconst STATE_WITHIN_QUOTE_IN_QUOTE = Symbol('quoteinquote');\n\n/**\n * Represents a potentially large collection of delimited text records.\n *\n * The produced `TensorContainer`s each contain one key-value pair for\n * every column of the table.  When a field is empty in the incoming data, the\n * resulting value is `undefined`, or throw error if it is required.  Values\n * that can be parsed as numbers are emitted as type `number`, other values\n * are parsed as `string`.\n *\n * The results are not batched.\n */\n/** @doc {heading: 'Data', subheading: 'Classes', namespace: 'data'} */\nexport class CSVDataset extends Dataset<TensorContainer> {\n  base: TextLineDataset;\n  private hasHeader = true;\n  private fullColumnNames: string[] = null;\n  private columnNamesValidated = false;\n  private columnConfigs: {[key: string]: ColumnConfig} = null;\n  private configuredColumnsOnly = false;\n  private delimiter = ',';\n  private delimWhitespace = false;\n\n  /**\n   * Returns column names of the csv dataset. If `configuredColumnsOnly` is\n   * true, return column names in `columnConfigs`. If `configuredColumnsOnly` is\n   * false and `columnNames` is provided, `columnNames`. If\n   * `configuredColumnsOnly` is false and `columnNames` is not provided, return\n   * all column names parsed from the csv file. For example usage please go to\n   * `tf.data.csv`.\n   */\n  /** @doc {heading: 'Data', subheading: 'Classes'} */\n  async columnNames() {\n    if (!this.columnNamesValidated) {\n      await this.setColumnNames();\n    }\n    return this.configuredColumnsOnly ? Object.keys(this.columnConfigs) :\n                                        this.fullColumnNames;\n  }\n\n  /* 1) If `columnNames` is provided as string[], use this string[] as output\n   * keys in corresponding order. The length must match the number of inferred\n   * columns if `hasHeader` is true .\n   * 2) If `columnNames` is not provided, parse header line as `columnNames` if\n   * hasHeader is true. If `hasHeader` is false, throw an error.\n   * 3) If `columnConfigs` is provided, all the keys in `columnConfigs` must\n   * exist in parsed `columnNames`.\n   */\n  private async setColumnNames() {\n    const columnNamesFromFile = await this.maybeReadHeaderLine();\n    if (!this.fullColumnNames && !columnNamesFromFile) {\n      // Throw an error if columnNames is not provided and no header line.\n      throw new Error(\n          'Column names must be provided if there is no header line.');\n    } else if (this.fullColumnNames && columnNamesFromFile) {\n      // Check provided columnNames match header line.\n      util.assert(\n          columnNamesFromFile.length === this.fullColumnNames.length,\n          () => 'The length of provided columnNames (' +\n              this.fullColumnNames.length.toString() +\n              ') does not match the length of the header line read from ' +\n              'file (' + columnNamesFromFile.length.toString() + ').');\n    }\n    if (!this.fullColumnNames) {\n      this.fullColumnNames = columnNamesFromFile;\n    }\n    // Check if there are duplicate column names.\n    const counts: {[key: string]: number} = this.fullColumnNames.reduce(\n        (countAcc: {[key: string]: number}, name) => {\n          countAcc[name] = (countAcc[name] + 1) || 1;\n          return countAcc;\n        },\n        {});\n    const duplicateNames =\n        Object.keys(counts).filter((name) => (counts[name] > 1));\n    util.assert(\n        duplicateNames.length === 0,\n        () => 'Duplicate column names found: ' + duplicateNames.toString());\n    // Check if keys in columnConfigs match columnNames.\n    if (this.columnConfigs) {\n      for (const key of Object.keys(this.columnConfigs)) {\n        const index = this.fullColumnNames.indexOf(key);\n        if (index === -1) {\n          throw new Error(\n              'The key \"' + key +\n              '\" provided in columnConfigs does not match any of the column ' +\n              'names (' + this.fullColumnNames.toString() + ').');\n        }\n      }\n    }\n    this.columnNamesValidated = true;\n  }\n\n  private async maybeReadHeaderLine() {\n    if (this.hasHeader) {\n      const iter = await this.base.iterator();\n      const firstElement = await iter.next();\n      if (firstElement.done) {\n        throw new Error('No data was found for CSV parsing.');\n      }\n      const firstLine: string = firstElement.value;\n      const headers = this.parseRow(firstLine, false);\n      return headers;\n    } else {\n      return null;\n    }\n  }\n\n  /**\n   * Create a `CSVDataset`.\n   *\n   * @param input A `DataSource` providing a chunked, UTF8-encoded byte stream.\n   * @param csvConfig (Optional) A CSVConfig object that contains configurations\n   *     of reading and decoding from CSV file(s).\n   *\n   *     hasHeader: (Optional) A boolean value that indicates whether the first\n   *     row of provided CSV file is a header line with column names, and should\n   *     not be included in the data. Defaults to `true`.\n   *\n   *     columnNames: (Optional) A list of strings that corresponds to\n   *     the CSV column names, in order. If provided, it ignores the column\n   *     names inferred from the header row. If not provided, infers the column\n   *     names from the first row of the records. If hasHeader is false and\n   *     columnNames is not provided, this method throws an error.\n   *\n   *     columnConfigs: (Optional) A dictionary whose key is column names, value\n   *     is an object stating if this column is required, column's data type,\n   *     default value, and if this column is label. If provided, keys must\n   *     correspond to names provided in columnNames or inferred from the file\n   *     header lines. If isLabel is true any column, returns an array of two\n   *     items: the first item is a dict of features key/value pairs, the second\n   *     item is a dict of labels key/value pairs. If no feature is marked as\n   *     label, returns a dict of features only.\n   *\n   *     configuredColumnsOnly (Optional) If true, only columns provided in\n   *     columnConfigs will be parsed and provided during iteration.\n   *\n   *     delimiter (Optional) The string used to parse each line of the input\n   *     file. Defaults to `,`.\n   */\n  constructor(protected readonly input: DataSource, csvConfig?: CSVConfig) {\n    super();\n    this.base = new TextLineDataset(input);\n    if (!csvConfig) {\n      csvConfig = {};\n    }\n    this.hasHeader = csvConfig.hasHeader === false ? false : true;\n    this.fullColumnNames = csvConfig.columnNames;\n    this.columnConfigs = csvConfig.columnConfigs;\n    this.configuredColumnsOnly = csvConfig.configuredColumnsOnly;\n    if (csvConfig.delimWhitespace) {\n      util.assert(\n          csvConfig.delimiter == null,\n          () =>\n              'Delimiter should not be provided when delimWhitespace is true.');\n      this.delimWhitespace = true;\n      this.delimiter = ' ';\n    } else {\n      this.delimiter = csvConfig.delimiter ? csvConfig.delimiter : ',';\n    }\n  }\n\n  async iterator(): Promise<LazyIterator<TensorContainer>> {\n    if (!this.columnNamesValidated) {\n      await this.setColumnNames();\n    }\n    let lines = await this.base.iterator();\n    if (this.hasHeader) {\n      // We previously read the first line to get the columnNames.\n      // Now that we're providing data, skip it.\n      lines = lines.skip(1);\n    }\n    return lines.map(x => this.makeDataElement(x));\n  }\n\n  makeDataElement(line: string): TensorContainer {\n    const values = this.parseRow(line);\n    const features: {[key: string]: TensorContainer} = {};\n    const labels: {[key: string]: TensorContainer} = {};\n\n    for (let i = 0; i < this.fullColumnNames.length; i++) {\n      const key = this.fullColumnNames[i];\n      const config = this.columnConfigs ? this.columnConfigs[key] : null;\n      if (this.configuredColumnsOnly && !config) {\n        // This column is not selected.\n        continue;\n      } else {\n        const value = values[i];\n        let parsedValue = null;\n        if (value === '') {\n          // If default value is provided, use it. If default value is not\n          // provided, set as undefined.\n          if (config && config.default !== undefined) {\n            parsedValue = config.default;\n          } else if (config && (config.required || config.isLabel)) {\n            throw new Error(\n                `Required column ${key} is empty in this line: ${line}`);\n          } else {\n            parsedValue = undefined;\n          }\n        } else {\n          // A value is present, so parse it based on type\n          const valueAsNum = Number(value);\n          if (isNaN(valueAsNum)) {\n            // The value is a string and this column is declared as boolean\n            // in config, parse it as boolean.\n            if (config && config.dtype === 'bool') {\n              parsedValue = this.getBoolean(value);\n            } else {\n              // Set value as string\n              parsedValue = value;\n            }\n          } else if (!config || !config.dtype) {\n            // If this value is a number and no type config is provided, return\n            // it as number.\n            parsedValue = valueAsNum;\n          } else {\n            // If this value is a number and data type is provided, parse it\n            // according to provided data type.\n            switch (config.dtype) {\n              case 'float32':\n                parsedValue = valueAsNum;\n                break;\n              case 'int32':\n                parsedValue = Math.floor(valueAsNum);\n                break;\n              case 'bool':\n                parsedValue = this.getBoolean(value);\n                break;\n              default:\n                parsedValue = valueAsNum;\n            }\n          }\n        }\n        // Check if this column is label.\n        (config && config.isLabel) ? labels[key] = parsedValue :\n                                     features[key] = parsedValue;\n      }\n    }\n    // If label exists, return an object of features and labels as {xs:features,\n    // ys:labels}, otherwise return features only.\n    if (Object.keys(labels).length === 0) {\n      return features;\n\n    } else {\n      return {xs: features, ys: labels};\n    }\n  }\n\n  private getBoolean(value: string): number {\n    if (value === '1' || value.toLowerCase() === 'true') {\n      return 1;\n    } else {\n      return 0;\n    }\n  }\n\n  // adapted from https://beta.observablehq.com/@mbostock/streaming-csv\n  private parseRow(line: string, validateElementCount = true): string[] {\n    const result: string[] = [];\n    let readOffset = 0;\n    const readLength = line.length;\n    let currentState = STATE_OUT;\n    // Goes through the line to parse quote.\n    for (let i = 0; i < readLength; i++) {\n      switch (currentState) {\n        // Before enter a new field\n        case STATE_OUT:\n          switch (line.charAt(i)) {\n            // Enter a quoted field\n            case CODE_QUOTE:\n              readOffset = i + 1;\n              currentState = STATE_QUOTE;\n              break;\n            // Read an empty field\n            case this.delimiter:\n              readOffset = i + 1;\n              // If delimiter is white space and configured to collapse\n              // multiple white spaces, ignore this white space.\n              if (this.delimiter === ' ' && this.delimWhitespace) {\n                break;\n              }\n              result.push('');\n              currentState = STATE_OUT;\n              break;\n            // Enter an unquoted field\n            default:\n              currentState = STATE_FIELD;\n              readOffset = i;\n              break;\n          }\n          break;\n        // In an unquoted field\n        case STATE_FIELD:\n          switch (line.charAt(i)) {\n            // Exit an unquoted field, add it to result\n            case this.delimiter:\n              result.push(line.substring(readOffset, i));\n              currentState = STATE_OUT;\n              readOffset = i + 1;\n              break;\n            default:\n          }\n          break;\n        // In a quoted field\n        case STATE_QUOTE:\n          switch (line.charAt(i)) {\n            // Read a quote after a quote\n            case CODE_QUOTE:\n              currentState = STATE_QUOTE_AFTER_QUOTE;\n              break;\n            default:\n          }\n          break;\n        // This state means it's right after a second quote in a field\n        case STATE_QUOTE_AFTER_QUOTE:\n          switch (line.charAt(i)) {\n            // Finished a quoted field\n            case this.delimiter:\n              result.push(line.substring(readOffset, i - 1));\n              currentState = STATE_OUT;\n              readOffset = i + 1;\n              break;\n            // Finished a quoted part in a quoted field\n            case CODE_QUOTE:\n              currentState = STATE_QUOTE;\n              break;\n            // In a quoted part in a quoted field\n            default:\n              currentState = STATE_WITHIN_QUOTE_IN_QUOTE;\n              break;\n          }\n          break;\n        case STATE_WITHIN_QUOTE_IN_QUOTE:\n          switch (line.charAt(i)) {\n            // Exit a quoted part in a quoted field\n            case CODE_QUOTE:\n              currentState = STATE_QUOTE;\n              break;\n            default:\n          }\n          break;\n        default:\n      }\n    }\n    // Adds last item based on if it is quoted.\n    if (currentState === STATE_QUOTE_AFTER_QUOTE) {\n      result.push(line.substring(readOffset, readLength - 1));\n    } else {\n      result.push(line.substring(readOffset));\n    }\n    // Check if each row has the same number of elements as column names.\n    if (validateElementCount && result.length !== this.fullColumnNames.length) {\n      throw new Error(`Invalid row in csv file. Should have ${\n          this.fullColumnNames.length} elements in a row, but got ${result}`);\n    }\n    return result;\n  }\n}\n\n// TODO(soergel): add more basic datasets for parity with tf.data\n// tf.data.FixedLengthRecordDataset()\n// tf.data.TFRecordDataset()\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {env, Tensor, tensor, Tensor2D, Tensor3D, TensorContainer, util} from '@tensorflow/tfjs-core';\nimport {MicrophoneConfig} from '../types';\nimport {LazyIterator} from './lazy_iterator';\n\n/**\n * Provide a stream of tensors from microphone audio stream. The tensors are\n * representing audio data as frequency-domain spectrogram generated with\n * browser's native FFT. Tensors representing time-domain waveform is available\n * based on configuration. Only works in browser environment.\n */\nexport class MicrophoneIterator extends LazyIterator<TensorContainer> {\n  private isClosed = false;\n  private stream: MediaStream;\n  private readonly fftSize: number;\n  private readonly columnTruncateLength: number;\n  private freqData: Float32Array;\n  private timeData: Float32Array;\n  private readonly numFrames: number;\n  private analyser: AnalyserNode;\n  private audioContext: AudioContext;\n  private sampleRateHz: number;\n  private readonly audioTrackConstraints: MediaTrackConstraints;\n  private readonly smoothingTimeConstant: number;\n  private readonly includeSpectrogram: boolean;\n  private readonly includeWaveform: boolean;\n\n  private constructor(protected readonly microphoneConfig: MicrophoneConfig) {\n    super();\n    this.fftSize = microphoneConfig.fftSize || 1024;\n    const fftSizeLog2 = Math.log2(this.fftSize);\n    if (this.fftSize < 0 || fftSizeLog2 < 4 || fftSizeLog2 > 14 ||\n        !Number.isInteger(fftSizeLog2)) {\n      throw new Error(\n          `Invalid fftSize: it must be a power of 2 between ` +\n          `2 to 4 and 2 to 14, but got ${this.fftSize}`);\n    }\n\n    this.numFrames = microphoneConfig.numFramesPerSpectrogram || 43;\n    this.sampleRateHz = microphoneConfig.sampleRateHz;\n    this.columnTruncateLength =\n        microphoneConfig.columnTruncateLength || this.fftSize;\n    this.audioTrackConstraints = microphoneConfig.audioTrackConstraints;\n    this.smoothingTimeConstant = microphoneConfig.smoothingTimeConstant || 0;\n\n    this.includeSpectrogram =\n        microphoneConfig.includeSpectrogram === false ? false : true;\n    this.includeWaveform =\n        microphoneConfig.includeWaveform === true ? true : false;\n    if (!this.includeSpectrogram && !this.includeWaveform) {\n      throw new Error(\n          'Both includeSpectrogram and includeWaveform are false. ' +\n          'At least one type of data should be returned.');\n    }\n  }\n\n  summary() {\n    return `microphone`;\n  }\n\n  // Construct a MicrophoneIterator and start the audio stream.\n  static async create(microphoneConfig: MicrophoneConfig = {}) {\n    if (env().get('IS_NODE')) {\n      throw new Error(\n          'microphone API is only supported in browser environment.');\n    }\n\n    const microphoneIterator = new MicrophoneIterator(microphoneConfig);\n\n    // Call async function start() to initialize the audio stream.\n    await microphoneIterator.start();\n\n    return microphoneIterator;\n  }\n\n  // Start the audio stream and FFT.\n  async start(): Promise<void> {\n    try {\n      this.stream = await navigator.mediaDevices.getUserMedia({\n        audio: this.audioTrackConstraints == null ? true :\n                                                    this.audioTrackConstraints,\n        video: false\n      });\n    } catch (e) {\n      throw new Error(\n          `Error thrown while initializing video stream: ${e.message}`);\n    }\n\n    if (!this.stream) {\n      throw new Error('Could not obtain audio from microphone.');\n    }\n\n    const ctxConstructor =\n        // tslint:disable-next-line:no-any\n        (window as any).AudioContext || (window as any).webkitAudioContext;\n    this.audioContext = new ctxConstructor();\n\n    if (!this.sampleRateHz) {\n      // If sample rate is not provided, use the available sample rate on\n      // device.\n      this.sampleRateHz = this.audioContext.sampleRate;\n    } else if (this.audioContext.sampleRate !== this.sampleRateHz) {\n      throw new Error(\n          `Mismatch in sampling rate: ` +\n          `Expected: ${this.sampleRateHz}; ` +\n          `Actual: ${this.audioContext.sampleRate}`);\n    }\n\n    const streamSource = this.audioContext.createMediaStreamSource(this.stream);\n    this.analyser = this.audioContext.createAnalyser();\n    this.analyser.fftSize = this.fftSize * 2;\n    this.analyser.smoothingTimeConstant = this.smoothingTimeConstant;\n    streamSource.connect(this.analyser);\n    this.freqData = new Float32Array(this.fftSize);\n    this.timeData = new Float32Array(this.fftSize);\n    return;\n  }\n\n  async next(): Promise<IteratorResult<TensorContainer>> {\n    if (this.isClosed) {\n      return {value: null, done: true};\n    }\n\n    let spectrogramTensor: Tensor;\n    let waveformTensor: Tensor;\n\n    const audioDataQueue = await this.getAudioData();\n    if (this.includeSpectrogram) {\n      const freqData = this.flattenQueue(audioDataQueue.freqDataQueue);\n      spectrogramTensor = this.getTensorFromAudioDataArray(\n          freqData, [this.numFrames, this.columnTruncateLength, 1]);\n    }\n    if (this.includeWaveform) {\n      const timeData = this.flattenQueue(audioDataQueue.timeDataQueue);\n      waveformTensor = this.getTensorFromAudioDataArray(\n          timeData, [this.numFrames * this.fftSize, 1]);\n    }\n\n    return {\n      value: {'spectrogram': spectrogramTensor, 'waveform': waveformTensor},\n      done: false\n    };\n  }\n\n  // Capture one result from the audio stream, and extract the value from\n  // iterator.next() result.\n  async capture(): Promise<{spectrogram: Tensor3D, waveform: Tensor2D}> {\n    return (await this.next()).value as\n        {spectrogram: Tensor3D, waveform: Tensor2D};\n  }\n\n  private async getAudioData():\n      Promise<{freqDataQueue: Float32Array[], timeDataQueue: Float32Array[]}> {\n    const freqDataQueue: Float32Array[] = [];\n    const timeDataQueue: Float32Array[] = [];\n    let currentFrames = 0;\n    return new Promise(resolve => {\n      const intervalID = setInterval(() => {\n        if (this.includeSpectrogram) {\n          this.analyser.getFloatFrequencyData(this.freqData);\n          // If the audio stream is initializing, return empty queue.\n          if (this.freqData[0] === -Infinity) {\n            resolve({freqDataQueue, timeDataQueue});\n          }\n          freqDataQueue.push(this.freqData.slice(0, this.columnTruncateLength));\n        }\n        if (this.includeWaveform) {\n          this.analyser.getFloatTimeDomainData(this.timeData);\n          timeDataQueue.push(this.timeData.slice());\n        }\n\n        // Clean interval and return when all frames have been collected\n        if (++currentFrames === this.numFrames) {\n          clearInterval(intervalID);\n          resolve({freqDataQueue, timeDataQueue});\n        }\n      }, this.fftSize / this.sampleRateHz * 1e3);\n    });\n  }\n\n  // Stop the audio stream and pause the iterator.\n  stop(): void {\n    if (!this.isClosed) {\n      this.isClosed = true;\n      this.analyser.disconnect();\n      this.audioContext.close();\n      if (this.stream != null && this.stream.getTracks().length > 0) {\n        this.stream.getTracks()[0].stop();\n      }\n    }\n  }\n\n  // Override toArray() function to prevent collecting.\n  toArray(): Promise<Tensor[]> {\n    throw new Error('Can not convert infinite audio stream to array.');\n  }\n\n  // Return audio sampling rate in Hz\n  getSampleRate(): number {\n    return this.sampleRateHz;\n  }\n\n  private flattenQueue(queue: Float32Array[]): Float32Array {\n    const frameSize = queue[0].length;\n    const freqData = new Float32Array(queue.length * frameSize);\n    queue.forEach((data, i) => freqData.set(data, i * frameSize));\n    return freqData;\n  }\n\n  private getTensorFromAudioDataArray(freqData: Float32Array, shape: number[]):\n      Tensor {\n    const vals = new Float32Array(util.sizeFromShape(shape));\n    // If the data is less than the output shape, the rest is padded with zeros.\n    vals.set(freqData, vals.length - freqData.length);\n    return tensor(vals, shape);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {browser, env, image, tensor1d, Tensor1D, tensor2d, Tensor2D, Tensor3D, Tensor4D, tidy, util} from '@tensorflow/tfjs-core';\nimport {WebcamConfig} from '../types';\nimport {LazyIterator} from './lazy_iterator';\n\n/**\n * Provide a stream of image tensors from webcam video stream. Only works in\n * browser environment.\n */\nexport class WebcamIterator extends LazyIterator<Tensor3D> {\n  private isClosed = true;\n  private stream: MediaStream;\n  private resize = false;\n  private cropSize: [number, number];\n  private cropBox: Tensor2D;\n  private cropBoxInd: Tensor1D;\n\n  private constructor(\n      protected readonly webcamVideoElement: HTMLVideoElement,\n      protected readonly webcamConfig: WebcamConfig) {\n    super();\n    if (this.needToResize()) {\n      this.resize = true;\n      this.cropSize =\n          [this.webcamConfig.resizeHeight, this.webcamConfig.resizeWidth];\n      this.cropBoxInd = tensor1d([0], 'int32');\n      if (this.webcamConfig.centerCrop) {\n        // Calculate the box based on resizing shape.\n        const widthCroppingRatio =\n            this.webcamConfig.resizeWidth * 1.0 / this.webcamVideoElement.width;\n        const heightCroppingRatio = this.webcamConfig.resizeHeight * 1.0 /\n            this.webcamVideoElement.height;\n        const widthCropStart = (1 - widthCroppingRatio) / 2;\n        const heightCropStart = (1 - heightCroppingRatio) / 2;\n        const widthCropEnd = widthCropStart + widthCroppingRatio;\n        const heightCropEnd = heightCroppingRatio + heightCropStart;\n        this.cropBox = tensor2d(\n            [heightCropStart, widthCropStart, heightCropEnd, widthCropEnd],\n            [1, 4]);\n      } else {\n        this.cropBox = tensor2d([0, 0, 1, 1], [1, 4]);\n      }\n    }\n  }\n\n  summary() {\n    return `webcam`;\n  }\n\n  // Construct a WebcamIterator and start it's video stream.\n  static async create(\n      webcamVideoElement?: HTMLVideoElement, webcamConfig: WebcamConfig = {}) {\n    if (env().get('IS_NODE')) {\n      throw new Error(\n          'tf.data.webcam is only supported in browser environment.');\n    }\n\n    if (!webcamVideoElement) {\n      // If webcam video element is not provided, create a hidden video element\n      // with provided width and height.\n      webcamVideoElement = document.createElement('video');\n      if (!webcamConfig.resizeWidth || !webcamConfig.resizeHeight) {\n        throw new Error(\n            'Please provide webcam video element, or resizeWidth and ' +\n            'resizeHeight to create a hidden video element.');\n      }\n      webcamVideoElement.width = webcamConfig.resizeWidth;\n      webcamVideoElement.height = webcamConfig.resizeHeight;\n    }\n    const webcamIterator = new WebcamIterator(webcamVideoElement, webcamConfig);\n\n    // Call async function to initialize the video stream.\n    await webcamIterator.start();\n\n    return webcamIterator;\n  }\n\n  // Async function to start video stream.\n  async start(): Promise<void> {\n    if (this.webcamConfig.facingMode) {\n      util.assert(\n          (this.webcamConfig.facingMode === 'user') ||\n              (this.webcamConfig.facingMode === 'environment'),\n          () =>\n              `Invalid webcam facing mode: ${this.webcamConfig.facingMode}. ` +\n              `Please provide 'user' or 'environment'`);\n    }\n\n    try {\n      this.stream = await navigator.mediaDevices.getUserMedia({\n        video: {\n          deviceId: this.webcamConfig.deviceId,\n          facingMode: this.webcamConfig.facingMode ?\n              this.webcamConfig.facingMode :\n              'user',\n          width: this.webcamVideoElement.width,\n          height: this.webcamVideoElement.height\n        }\n      });\n    } catch (e) {\n      // Modify the error message but leave the stack trace intact\n      e.message = `Error thrown while initializing video stream: ${e.message}`;\n      throw e;\n    }\n\n    if (!this.stream) {\n      throw new Error('Could not obtain video from webcam.');\n    }\n\n    // Older browsers may not have srcObject\n    try {\n      this.webcamVideoElement.srcObject = this.stream;\n    } catch (error) {\n      console.log(error);\n      this.webcamVideoElement.src = window.URL.createObjectURL(this.stream);\n    }\n    // Start the webcam video stream\n    this.webcamVideoElement.play();\n\n    this.isClosed = false;\n\n    return new Promise<void>(resolve => {\n      // Add event listener to make sure the webcam has been fully initialized.\n      this.webcamVideoElement.onloadedmetadata = () => {\n        resolve();\n      };\n    });\n  }\n\n  async next(): Promise<IteratorResult<Tensor3D>> {\n    if (this.isClosed) {\n      return {value: null, done: true};\n    }\n\n    let img;\n    try {\n      img = browser.fromPixels(this.webcamVideoElement);\n    } catch (e) {\n      throw new Error(\n          `Error thrown converting video to pixels: ${JSON.stringify(e)}`);\n    }\n    if (this.resize) {\n      try {\n        return {value: this.cropAndResizeFrame(img), done: false};\n      } catch (e) {\n        throw new Error(`Error thrown cropping the video: ${e.message}`);\n      } finally {\n        img.dispose();\n      }\n    } else {\n      return {value: img, done: false};\n    }\n  }\n\n  private needToResize() {\n    // If resizeWidth and resizeHeight are provided, and different from the\n    // width and height of original HTMLVideoElement, then resizing and cropping\n    // is required.\n    if (this.webcamConfig.resizeWidth && this.webcamConfig.resizeHeight &&\n        (this.webcamVideoElement.width !== this.webcamConfig.resizeWidth ||\n         this.webcamVideoElement.height !== this.webcamConfig.resizeHeight)) {\n      return true;\n    }\n    return false;\n  }\n\n  // Cropping and resizing each frame based on config\n  cropAndResizeFrame(img: Tensor3D): Tensor3D {\n    return tidy(() => {\n      const expandedImage: Tensor4D = img.toFloat().expandDims(0);\n      let resizedImage;\n      resizedImage = image.cropAndResize(\n          expandedImage, this.cropBox, this.cropBoxInd, this.cropSize,\n          'bilinear');\n      // Extract image from batch cropping.\n      const shape = resizedImage.shape;\n      return resizedImage.reshape(shape.slice(1) as [number, number, number]);\n    });\n  }\n\n  // Capture one frame from the video stream, and extract the value from\n  // iterator.next() result.\n  async capture(): Promise<Tensor3D> {\n    return (await this.next()).value;\n  }\n\n  // Stop the video stream and pause webcam iterator.\n  stop(): void {\n    const tracks = this.stream.getTracks();\n\n    tracks.forEach(track => track.stop());\n\n    try {\n      this.webcamVideoElement.srcObject = null;\n    } catch (error) {\n      console.log(error);\n      this.webcamVideoElement.src = null;\n    }\n    this.isClosed = true;\n  }\n\n  // Override toArray() function to prevent collecting.\n  toArray(): Promise<Tensor3D[]> {\n    throw new Error('Can not convert infinite video stream to array.');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {ByteChunkIterator} from './iterators/byte_chunk_iterator';\n\n/**\n * Represents a data source readable as a stream of binary data chunks.\n *\n * Because `Dataset`s can be read repeatedly (via `Dataset.iterator()`), this\n * provides a means to repeatedly create streams from the underlying data\n * sources.\n */\nexport abstract class DataSource {\n  /**\n   * Obtain a new stream of binary data chunks.\n   *\n   * Starts the new stream from the beginning of the data source, even if other\n   * streams have been obtained previously.\n   */\n  abstract async iterator(): Promise<ByteChunkIterator>;\n\n  // TODO(soergel): consider chainable Dataset construction here\n}\n\n// TODO(soergel): consider convenience factory functions here\n// in combination with chainable source->dataset above, e.g.:\n// tf.data.url(...).asCsvDataset().shuffle().batch()\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {LazyIterator, OneToManyIterator} from './lazy_iterator';\n\nexport abstract class StringIterator extends LazyIterator<string> {\n  /**\n   * Splits a string stream on a given separator.\n   *\n   * It is assumed that the incoming chunk boundaries have no semantic meaning,\n   * so conceptually the incoming stream is treated simply as the concatenation\n   * of its elements.\n   *\n   * The outgoing stream provides chunks corresponding to the results of the\n   * standard string split() operation (even if such a chunk spanned incoming\n   * chunks).  The separators are not included.\n   *\n   * A typical usage is to split a text file (represented as a stream with\n   * arbitrary chunk boundaries) into lines.\n   *\n   * @param upstream A readable stream of strings that can be treated as\n   *   concatenated.\n   * @param separator A character to split on.\n   */\n  split(separator: string): StringIterator {\n    return new SplitIterator(this, separator);\n  }\n}\n\n// ============================================================================\n// The following private classes serve to implement the chainable methods\n// on StringIterator.  Unfortunately they can't be placed in separate files, due\n// to resulting trouble with circular imports.\n// ============================================================================\n\n// We wanted multiple inheritance, e.g.\n//   class SplitIterator extends QueueIterator<string>, StringIterator\n// but the TypeScript mixin approach is a bit hacky, so we take this adapter\n// approach instead.\n\nclass SplitIterator extends StringIterator {\n  private impl: SplitIteratorImpl;\n\n  constructor(protected upstream: LazyIterator<string>, separator: string) {\n    super();\n    this.impl = new SplitIteratorImpl(upstream, separator);\n  }\n\n  summary() {\n    return this.impl.summary();\n  }\n\n  async next() {\n    return this.impl.next();\n  }\n}\n\nclass SplitIteratorImpl extends OneToManyIterator<string> {\n  // A partial string at the end of an upstream chunk\n  carryover = '';\n\n  constructor(\n      protected upstream: LazyIterator<string>, protected separator: string) {\n    super();\n  }\n\n  summary() {\n    return `${this.upstream.summary()} -> Split('${this.separator}')`;\n  }\n\n  async pump(): Promise<boolean> {\n    const chunkResult = await this.upstream.next();\n    if (chunkResult.done) {\n      if (this.carryover === '') {\n        return false;\n      }\n\n      // Pretend that the pump succeeded in order to emit the small last batch.\n      // The next pump() call will actually fail.\n      this.outputQueue.push(this.carryover);\n      this.carryover = '';\n      return true;\n    }\n    const lines = chunkResult.value.split(this.separator);\n    // Note the behavior: \" ab \".split(' ') === ['', 'ab', '']\n    // Thus the carryover may be '' if the separator falls on a chunk\n    // boundary; this produces the correct result.\n\n    lines[0] = this.carryover + lines[0];\n    for (const line of lines.slice(0, -1)) {\n      this.outputQueue.push(line);\n    }\n    this.carryover = lines[lines.length - 1];\n\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {env} from '@tensorflow/tfjs-core';\nimport {LazyIterator, OneToManyIterator} from './lazy_iterator';\nimport {StringIterator} from './string_iterator';\n\nexport abstract class ByteChunkIterator extends LazyIterator<Uint8Array> {\n  /**\n   * Decode a stream of UTF8-encoded byte arrays to a stream of strings.\n   *\n   * The byte arrays producetd from the ByteChunkIterator on which this is\n   * called will be interpreted as concatenated.  No assumptions are made about\n   * the boundaries of the incoming chunks, so a multi-byte UTF8 encoding of a\n   * character may span the boundary between chunks.  This naturally happens,\n   * for instance, when reading fixed-size byte arrays from a file.\n   */\n  decodeUTF8(): StringIterator {\n    return new Utf8Iterator(this);\n  }\n}\n\n// ============================================================================\n// The following private classes serve to implement the chainable methods\n// on ByteChunkIterator.  Unfortunately they can't be placed in separate files,\n// due to resulting trouble with circular imports.\n// ============================================================================\n\n// We wanted multiple inheritance, e.g.\n//   class Utf8Iterator extends QueueIterator<string>, StringIterator\n// but the TypeScript mixin approach is a bit hacky, so we take this adapter\n// approach instead.\n\nclass Utf8Iterator extends StringIterator {\n  private impl: Utf8IteratorImpl;\n\n  constructor(protected upstream: LazyIterator<Uint8Array>) {\n    super();\n    this.impl = new Utf8IteratorImpl(upstream);\n  }\n\n  summary() {\n    return this.impl.summary();\n  }\n\n  async next() {\n    return this.impl.next();\n  }\n}\n\n/**\n * Decode a stream of UTF8-encoded byte arrays to a stream of strings.\n *\n * This is tricky because the incoming byte array boundaries may disrupt a\n * multi-byte UTF8 character. Thus any incomplete character data at the end of\n * a chunk must be carried over and prepended to the next chunk before\n * decoding. Luckily with native decoder, TextDecoder in browser and\n * string_decoder in node, byte array boundaries are handled automatically.\n *\n * In the context of an input pipeline for machine learning, UTF8 decoding is\n * needed to parse text files containing training examples or prediction\n * requests (e.g., formatted as CSV or JSON). We cannot use the built-in\n * decoding provided by FileReader.readAsText() because here we are in a\n * streaming context, which FileReader does not support.\n *\n * @param upstream A `LazyIterator` of `Uint8Arrays` containing UTF8-encoded\n *   text, which should be interpreted as concatenated.  No assumptions are\n *   made about the boundaries of the incoming chunks, so a multi-byte UTF8\n *   encoding of a character may span the boundary between chunks.  This\n *   naturally happens, for instance, when reading fixed-size byte arrays from a\n *   file.\n */\nclass Utf8IteratorImpl extends OneToManyIterator<string> {\n  // `decoder` as `any` here to dynamically assign value based on the\n  // environment.\n  // tslint:disable-next-line:no-any\n  decoder: any;\n\n  constructor(protected readonly upstream: LazyIterator<Uint8Array>) {\n    super();\n    if (env().get('IS_BROWSER')) {\n      this.decoder = new TextDecoder('utf-8');\n    } else {\n      // tslint:disable-next-line:no-require-imports\n      const {StringDecoder} = require('string_decoder');\n      this.decoder = new StringDecoder('utf8');\n    }\n  }\n  summary() {\n    return `${this.upstream.summary()} -> Utf8`;\n  }\n\n  async pump(): Promise<boolean> {\n    const chunkResult = await this.upstream.next();\n    let chunk;\n    if (chunkResult.done) {\n      return false;\n    } else {\n      chunk = chunkResult.value;\n    }\n\n    let text: string;\n    if (env().get('IS_BROWSER')) {\n      text = this.decoder.decode(chunk, {stream: true});\n    } else {\n      text = this.decoder.write(Buffer.from(chunk.buffer));\n    }\n    this.outputQueue.push(text);\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n// inspired by https://github.com/maxogden/filereader-stream\nimport {env, util} from '@tensorflow/tfjs-core';\nimport {FileElement} from '../types';\nimport {ByteChunkIterator} from './byte_chunk_iterator';\n\nexport interface FileChunkIteratorOptions {\n  /** The byte offset at which to begin reading the File or Blob. Default 0. */\n  offset?: number;\n  /** The number of bytes to read at a time. Default 1MB. */\n  chunkSize?: number;\n}\n\n/**\n * Provide a stream of chunks from a File, Blob, or Uint8Array.\n * @param file The source File, Blob or Uint8Array.\n * @param options Optional settings controlling file reading.\n * @returns a lazy Iterator of Uint8Arrays containing sequential chunks of the\n *   input File, Blob or Uint8Array.\n */\nexport class FileChunkIterator extends ByteChunkIterator {\n  offset: number;\n  chunkSize: number;\n\n  constructor(\n      protected file: FileElement,\n      protected options: FileChunkIteratorOptions = {}) {\n    super();\n    util.assert(\n        (file instanceof Uint8Array) ||\n            (env().get('IS_BROWSER') ?\n                 (file instanceof File || file instanceof Blob) :\n                 false),\n        () => 'FileChunkIterator only supports File, Blob and Uint8Array ' +\n            'right now.');\n    this.offset = options.offset || 0;\n    // default 1MB chunk has tolerable perf on large files\n    this.chunkSize = options.chunkSize || 1024 * 1024;\n  }\n\n  summary() {\n    return `FileChunks ${this.file}`;\n  }\n\n  async next(): Promise<IteratorResult<Uint8Array>> {\n    if (this.offset >= ((this.file instanceof Uint8Array) ?\n                            this.file.byteLength :\n                            this.file.size)) {\n      return {value: null, done: true};\n    }\n    const chunk = new Promise<Uint8Array>((resolve, reject) => {\n      const end = this.offset + this.chunkSize;\n      if (this.file instanceof Uint8Array) {\n        // Note if end > this.uint8Array.byteLength, we just get a small last\n        // chunk.\n        resolve(new Uint8Array(this.file.slice(this.offset, end)));\n      } else {\n        // This branch assumes that this.file type is File or Blob, which\n        // means it is in the browser environment.\n\n        // TODO(soergel): is this a performance issue?\n        const fileReader = new FileReader();\n        fileReader.onload = (event) => {\n          let data: string|ArrayBuffer|Uint8Array = fileReader.result;\n          // Not sure we can trust the return type of\n          // FileReader.readAsArrayBuffer See e.g.\n          // https://github.com/node-file-api/FileReader/issues/2\n          if (data instanceof ArrayBuffer) {\n            data = new Uint8Array(data);\n          }\n          if (!(data instanceof Uint8Array)) {\n            return reject(new TypeError('FileReader returned unknown type.'));\n          }\n          resolve(data);\n        };\n        fileReader.onabort = (event) => {\n          return reject(new Error('Aborted'));\n        };\n        fileReader.onerror = (event) => {\n          return reject(new Error(event.type));\n        };\n        // TODO(soergel): better handle onabort, onerror\n        // Note if end > this.file.size, we just get a small last chunk.\n        const slice = this.file.slice(this.offset, end);\n        // We can't use readAsText here (even if we know the file is text)\n        // because the slice boundary may fall within a multi-byte character.\n        fileReader.readAsArrayBuffer(slice);\n      }\n      this.offset = end;\n    });\n    return {value: (await chunk), done: false};\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {util} from '@tensorflow/tfjs-core';\nimport {FileChunkIterator, FileChunkIteratorOptions} from './file_chunk_iterator';\n\n/**\n * Provide a stream of chunks from a URL.\n *\n * Note this class first downloads the entire file into memory before providing\n * the first element from the stream.  This is because the Fetch API does not\n * yet reliably provide a reader stream for the response body.\n */\nexport async function urlChunkIterator(\n    url: RequestInfo, options: FileChunkIteratorOptions = {}) {\n  let urlString;\n  let requestInit;\n  if ((typeof url) === 'string') {\n    urlString = url as string;\n  } else {\n    urlString = (url as Request).url;\n    requestInit = getRequestInitFromRequest(url as Request);\n  }\n  const response = await util.fetch(urlString, requestInit);\n  if (response.ok) {\n    const uint8Array = new Uint8Array(await response.arrayBuffer());\n    return new FileChunkIterator(uint8Array, options);\n  } else {\n    throw new Error(response.statusText);\n  }\n}\n\n// Generate RequestInit from Request to match tf.util.fetch signature.\nconst getRequestInitFromRequest = (request: Request) => {\n  const init = {\n    method: request.method,\n    headers: request.headers,\n    body: request.body,\n    mode: request.mode,\n    credentials: request.credentials,\n    cache: request.cache,\n    redirect: request.redirect,\n    referrer: request.referrer,\n    integrity: request.integrity,\n  };\n  return init;\n};\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n// Skip tslint any type check cause this method is aiming to check type of\n// input.\n// tslint:disable-next-line:no-any\nexport function isLocalPath(source: any): boolean {\n  return (typeof source === 'string') && source.substr(0, 7) === 'file://';\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {env} from '@tensorflow/tfjs-core';\nimport {DataSource} from '../datasource';\nimport {ByteChunkIterator} from '../iterators/byte_chunk_iterator';\nimport {FileChunkIterator, FileChunkIteratorOptions} from '../iterators/file_chunk_iterator';\nimport {FileElement} from '../types';\nimport {isLocalPath} from '../util/source_util';\n\n/**\n * Represents a file, blob, or Uint8Array readable as a stream of binary data\n * chunks.\n */\nexport class FileDataSource extends DataSource {\n  /**\n   * Create a `FileDataSource`.\n   *\n   * @param input Local file path, or `File`/`Blob`/`Uint8Array` object to\n   *     read. Local file only works in node environment.\n   * @param options Options passed to the underlying `FileChunkIterator`s,\n   *   such as {chunksize: 1024}.\n   */\n  constructor(\n      protected input: FileElement|string,\n      protected readonly options: FileChunkIteratorOptions = {}) {\n    super();\n  }\n\n  async iterator(): Promise<ByteChunkIterator> {\n    if (isLocalPath(this.input) && env().get('IS_NODE')) {\n      // tslint:disable-next-line:no-require-imports\n      const fs = require('fs');\n      this.input = fs.readFileSync((this.input as string).substr(7));\n    }\n    // TODO(kangyizhang): Add LocalFileChunkIterator to split local streaming\n    // with file in browser.\n    return new FileChunkIterator(this.input as FileElement, this.options);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {DataSource} from '../datasource';\nimport {ByteChunkIterator} from '../iterators/byte_chunk_iterator';\nimport {FileChunkIteratorOptions} from '../iterators/file_chunk_iterator';\nimport {urlChunkIterator} from '../iterators/url_chunk_iterator';\nimport {isLocalPath} from '../util/source_util';\nimport {FileDataSource} from './file_data_source';\n\n/*\n * Represents a URL readable as a stream of binary data chunks.\n */\nexport class URLDataSource extends DataSource {\n  /**\n   * Create a `URLDataSource`.\n   *\n   * @param url A source URL string, or a `Request` object.\n   * @param options Options passed to the underlying `FileChunkIterator`s,\n   *   such as {chunksize: 1024}.\n   */\n  constructor(\n      protected readonly url: RequestInfo,\n      protected readonly fileOptions: FileChunkIteratorOptions = {}) {\n    super();\n  }\n\n  // TODO(soergel): provide appropriate caching options.  Currently this\n  // will download the URL anew for each call to iterator().  Since we have\n  // to treat the downloaded file as a blob/buffer anyway, we may as well retain\n  // it-- but that raises GC issues.  Also we may want a persistent disk cache.\n  async iterator(): Promise<ByteChunkIterator> {\n    if (isLocalPath(this.url)) {\n      return (new FileDataSource(this.url as string, this.fileOptions))\n          .iterator();\n    } else {\n      return urlChunkIterator(this.url, this.fileOptions);\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\nimport {TensorContainer} from '@tensorflow/tfjs-core';\nimport {Dataset, datasetFromIteratorFn} from './dataset';\nimport {CSVDataset} from './datasets/csv_dataset';\nimport {iteratorFromFunction} from './iterators/lazy_iterator';\nimport {MicrophoneIterator} from './iterators/microphone_iterator';\nimport {WebcamIterator} from './iterators/webcam_iterator';\nimport {URLDataSource} from './sources/url_data_source';\nimport {CSVConfig, MicrophoneConfig, WebcamConfig} from './types';\n\n/**\n * Create a `CSVDataset` by reading and decoding CSV file(s) from provided URL\n * or local path if it's in Node environment.\n *\n * Note: If isLabel in columnConfigs is `true` for at least one column, the\n * element in returned `CSVDataset` will be an object of\n * `{xs:features, ys:labels}`: xs is a dict of features key/value pairs, ys\n * is a dict of labels key/value pairs. If no column is marked as label,\n * returns a dict of features only.\n *\n * ```js\n * const csvUrl =\n * 'https://storage.googleapis.com/tfjs-examples/multivariate-linear-regression/data/boston-housing-train.csv';\n *\n * async function run() {\n *   // We want to predict the column \"medv\", which represents a median value of\n *   // a home (in $1000s), so we mark it as a label.\n *   const csvDataset = tf.data.csv(\n *     csvUrl, {\n *       columnConfigs: {\n *         medv: {\n *           isLabel: true\n *         }\n *       }\n *     });\n *\n *   // Number of features is the number of column names minus one for the label\n *   // column.\n *   const numOfFeatures = (await csvDataset.columnNames()).length - 1;\n *\n *   // Prepare the Dataset for training.\n *   const flattenedDataset =\n *     csvDataset\n *     .map(({xs, ys}) =>\n *       {\n *         // Convert xs(features) and ys(labels) from object form (keyed by\n *         // column name) to array form.\n *         return {xs:Object.values(xs), ys:Object.values(ys)};\n *       })\n *     .batch(10);\n *\n *   // Define the model.\n *   const model = tf.sequential();\n *   model.add(tf.layers.dense({\n *     inputShape: [numOfFeatures],\n *     units: 1\n *   }));\n *   model.compile({\n *     optimizer: tf.train.sgd(0.000001),\n *     loss: 'meanSquaredError'\n *   });\n *\n *   // Fit the model using the prepared Dataset\n *   return model.fitDataset(flattenedDataset, {\n *     epochs: 10,\n *     callbacks: {\n *       onEpochEnd: async (epoch, logs) => {\n *         console.log(epoch + ':' + logs.loss);\n *       }\n *     }\n *   });\n * }\n *\n * await run();\n * ```\n *\n * @param source URL or local path to get CSV file. If it's a local path, it\n * must have prefix `file://` and it only works in node environment.\n * @param csvConfig (Optional) A CSVConfig object that contains configurations\n *     of reading and decoding from CSV file(s).\n */\n/**\n * @doc {\n *   heading: 'Data',\n *   subheading: 'Creation',\n *   namespace: 'data',\n *   configParamIndices: [1]\n *  }\n */\nexport function csv(\n    source: RequestInfo, csvConfig: CSVConfig = {}): CSVDataset {\n  return new CSVDataset(new URLDataSource(source), csvConfig);\n}\n\n/**\n * Create a `Dataset` that produces each element by calling a provided function.\n *\n * Note that repeated iterations over this `Dataset` may produce different\n * results, because the function will be called anew for each element of each\n * iteration.\n *\n * Also, beware that the sequence of calls to this function may be out of order\n * in time with respect to the logical order of the Dataset. This is due to the\n * asynchronous lazy nature of stream processing, and depends on downstream\n * transformations (e.g. .shuffle()). If the provided function is pure, this is\n * no problem, but if it is a closure over a mutable state (e.g., a traversal\n * pointer), then the order of the produced elements may be scrambled.\n *\n * ```js\n * let i = -1;\n * const func = () =>\n *    ++i < 5 ? {value: i, done: false} : {value: null, done: true};\n * const ds = tf.data.func(func);\n * await ds.forEachAsync(e => console.log(e));\n * ```\n *\n * @param f A function that produces one data element on each call.\n */\nexport function func<T extends TensorContainer>(\n    f: () => IteratorResult<T>| Promise<IteratorResult<T>>): Dataset<T> {\n  const iter = iteratorFromFunction(f);\n  return datasetFromIteratorFn(async () => iter);\n}\n\n/**\n * Create a `Dataset` that produces each element from provided JavaScript\n * generator, which is a function*\n * (https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Iterators_and_Generators#Generator_functions),\n * or a function that returns an\n * iterator\n * (https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Iterators_and_Generators#Generator_functions).\n *\n * The returned iterator should have `.next()` function that returns element in\n * format of `{value: TensorContainer, done:boolean}`.\n *\n * Example of creating a dataset from an iterator factory:\n * ```js\n * function makeIterator() {\n *   const numElements = 10;\n *   let index = 0;\n *\n *   const iterator = {\n *     next: () => {\n *       let result;\n *       if (index < numElements) {\n *         result = {value: index, done: false};\n *         index++;\n *         return result;\n *       }\n *       return {value: index, done: true};\n *     }\n *   };\n *   return iterator;\n * }\n * const ds = tf.data.generator(makeIterator);\n * ds.forEachAsync(e => console.log(e));\n * ```\n *\n * Example of creating a dataset from a generator:\n * ```js\n * function* dataGenerator() {\n *   const numElements = 10;\n *   let index = 0;\n *   while (index < numElements) {\n *     const x = index;\n *     index++;\n *     yield x;\n *   }\n * }\n *\n * const ds = tf.data.generator(dataGenerator);\n * ds.forEachAsync(e => console.log(e));\n * ```\n *\n * @param generator A Javascript generator function that returns a JavaScript\n *     iterator.\n */\n/**\n * @doc {\n *   heading: 'Data',\n *   subheading: 'Creation',\n *   namespace: 'data',\n *   configParamIndices: [1]\n *  }\n */\nexport function generator<T extends TensorContainer>(\n    generator: () => Iterator<T>| Promise<Iterator<T>>): Dataset<T> {\n  return datasetFromIteratorFn(async () => {\n    const gen = await generator();\n    return iteratorFromFunction(() => gen.next());\n  });\n}\n\n/**\n * Create an iterator that generate `Tensor`s from webcam video stream. This API\n * only works in Browser environment when the device has webcam.\n *\n * Note: this code snippet only works when the device has a webcam. It will\n * request permission to open the webcam when running.\n * ```js\n * const videoElement = document.createElement('video');\n * videoElement.width = 100;\n * videoElement.height = 100;\n * const cam = await tf.data.webcam(videoElement);\n * const img = await cam.capture();\n * img.print();\n * cam.stop();\n * ```\n *\n * @param webcamVideoElement A `HTMLVideoElement` used to play video from\n *     webcam. If this element is not provided, a hidden `HTMLVideoElement` will\n *     be created. In that case, `resizeWidth` and `resizeHeight` must be\n *     provided to set the generated tensor shape.\n * @param webcamConfig A `WebcamConfig` object that contains configurations of\n *     reading and manipulating data from webcam video stream.\n */\n/**\n * @doc {\n *   heading: 'Data',\n *   subheading: 'Creation',\n *   namespace: 'data',\n *   ignoreCI: true\n *  }\n */\nexport async function webcam(\n    webcamVideoElement?: HTMLVideoElement,\n    webcamConfig?: WebcamConfig): Promise<WebcamIterator> {\n  return WebcamIterator.create(webcamVideoElement, webcamConfig);\n}\n\n/**\n * Create an iterator that generate frequency-domain spectrogram `Tensor`s from\n * microphone audio stream with browser's native FFT. This API only works in\n * browser environment when the device has microphone.\n *\n * Note: this code snippet only works when the device has a microphone. It will\n * request permission to open the microphone when running.\n * ```js\n * const mic = await tf.data.microphone({\n *   fftSize: 1024,\n *   columnTruncateLength: 232,\n *   numFramesPerSpectrogram: 43,\n *   sampleRateHz:44100,\n *   includeSpectrogram: true,\n *   includeWaveform: true\n * });\n * const audioData = await mic.capture();\n * const spectrogramTensor = audioData.spectrogram;\n * spectrogramTensor.print();\n * const waveformTensor = audioData.waveform;\n * waveformTensor.print();\n * mic.stop();\n * ```\n *\n * @param microphoneConfig A `MicrophoneConfig` object that contains\n *     configurations of reading audio data from microphone.\n */\n/**\n * @doc {\n *   heading: 'Data',\n *   subheading: 'Creation',\n *   namespace: 'data',\n *   ignoreCI: true\n *  }\n */\nexport async function microphone(microphoneConfig?: MicrophoneConfig):\n    Promise<MicrophoneIterator> {\n  return MicrophoneIterator.create(microphoneConfig);\n}\n","/**\n* plotly.js v1.42.1\n* 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_dereq_('../src/transforms/filter');\n\n},{\"../src/transforms/filter\":1157}],16:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/transforms/groupby');\n\n},{\"../src/transforms/groupby\":1158}],17:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/heatmap');\n\n},{\"../src/traces/heatmap\":954}],18:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/heatmapgl');\n\n},{\"../src/traces/heatmapgl\":964}],19:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/histogram');\n\n},{\"../src/traces/histogram\":975}],20:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/histogram2d');\n\n},{\"../src/traces/histogram2d\":982}],21:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/histogram2dcontour');\n\n},{\"../src/traces/histogram2dcontour\":986}],22:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Plotly = _dereq_('./core');\n\n// traces\nPlotly.register([\n    _dereq_('./bar'),\n    _dereq_('./box'),\n    _dereq_('./heatmap'),\n    _dereq_('./histogram'),\n    _dereq_('./histogram2d'),\n    _dereq_('./histogram2dcontour'),\n    _dereq_('./pie'),\n    _dereq_('./contour'),\n    _dereq_('./scatterternary'),\n    _dereq_('./violin'),\n\n    _dereq_('./scatter3d'),\n    _dereq_('./surface'),\n    _dereq_('./mesh3d'),\n    _dereq_('./cone'),\n    _dereq_('./streamtube'),\n\n    _dereq_('./scattergeo'),\n    _dereq_('./choropleth'),\n\n    _dereq_('./scattergl'),\n    _dereq_('./splom'),\n\n    _dereq_('./pointcloud'),\n    _dereq_('./heatmapgl'),\n    _dereq_('./parcoords'),\n    _dereq_('./parcats'),\n    _dereq_('./scattermapbox'),\n\n    _dereq_('./sankey'),\n\n    _dereq_('./table'),\n\n    _dereq_('./carpet'),\n    _dereq_('./scattercarpet'),\n    _dereq_('./contourcarpet'),\n\n    _dereq_('./ohlc'),\n    _dereq_('./candlestick'),\n\n    _dereq_('./scatterpolar'),\n    _dereq_('./scatterpolargl'),\n    _dereq_('./barpolar')\n]);\n\n// transforms\n//\n// Please note that all *transform* methods are executed before\n// all *calcTransform* methods - which could possibly lead to\n// unexpected results when applying multiple transforms of different types\n// to a given trace.\n//\n// For more info, see:\n// https://github.com/plotly/plotly.js/pull/978#pullrequestreview-2403353\n//\nPlotly.register([\n    _dereq_('./aggregate'),\n    _dereq_('./filter'),\n    _dereq_('./groupby'),\n    _dereq_('./sort')\n]);\n\n// components\nPlotly.register([\n    _dereq_('./calendars')\n]);\n\nmodule.exports = Plotly;\n\n},{\"./aggregate\":3,\"./bar\":4,\"./barpolar\":5,\"./box\":6,\"./calendars\":7,\"./candlestick\":8,\"./carpet\":9,\"./choropleth\":10,\"./cone\":11,\"./contour\":12,\"./contourcarpet\":13,\"./core\":14,\"./filter\":15,\"./groupby\":16,\"./heatmap\":17,\"./heatmapgl\":18,\"./histogram\":19,\"./histogram2d\":20,\"./histogram2dcontour\":21,\"./mesh3d\":23,\"./ohlc\":24,\"./parcats\":25,\"./parcoords\":26,\"./pie\":27,\"./pointcloud\":28,\"./sankey\":29,\"./scatter3d\":30,\"./scattercarpet\":31,\"./scattergeo\":32,\"./scattergl\":33,\"./scattermapbox\":34,\"./scatterpolar\":35,\"./scatterpolargl\":36,\"./scatterternary\":37,\"./sort\":38,\"./splom\":39,\"./streamtube\":40,\"./surface\":41,\"./table\":42,\"./violin\":43}],23:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/mesh3d');\n\n},{\"../src/traces/mesh3d\":991}],24:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/ohlc');\n\n},{\"../src/traces/ohlc\":996}],25:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/parcats');\n\n},{\"../src/traces/parcats\":1005}],26:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/parcoords');\n\n},{\"../src/traces/parcoords\":1014}],27:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/pie');\n\n},{\"../src/traces/pie\":1025}],28:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/pointcloud');\n\n},{\"../src/traces/pointcloud\":1034}],29:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/sankey');\n\n},{\"../src/traces/sankey\":1040}],30:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/scatter3d');\n\n},{\"../src/traces/scatter3d\":1076}],31:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/scattercarpet');\n\n},{\"../src/traces/scattercarpet\":1082}],32:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/scattergeo');\n\n},{\"../src/traces/scattergeo\":1089}],33:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/scattergl');\n\n},{\"../src/traces/scattergl\":1097}],34:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/scattermapbox');\n\n},{\"../src/traces/scattermapbox\":1103}],35:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/scatterpolar');\n\n},{\"../src/traces/scatterpolar\":1110}],36:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/scatterpolargl');\n\n},{\"../src/traces/scatterpolargl\":1114}],37:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/scatterternary');\n\n},{\"../src/traces/scatterternary\":1120}],38:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/transforms/sort');\n\n},{\"../src/transforms/sort\":1160}],39:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/splom');\n\n},{\"../src/traces/splom\":1125}],40:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/streamtube');\n\n},{\"../src/traces/streamtube\":1130}],41:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/surface');\n\n},{\"../src/traces/surface\":1135}],42:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/table');\n\n},{\"../src/traces/table\":1143}],43:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = _dereq_('../src/traces/violin');\n\n},{\"../src/traces/violin\":1151}],44:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createCamera\r\n\r\nvar now         = _dereq_('right-now')\r\nvar createView  = _dereq_('3d-view')\r\nvar mouseChange = _dereq_('mouse-change')\r\nvar mouseWheel  = _dereq_('mouse-wheel')\r\nvar mouseOffset = _dereq_('mouse-event-offset')\r\nvar hasPassive  = _dereq_('has-passive-events')\r\n\r\nfunction createCamera(element, options) {\r\n  element = element || document.body\r\n  options = options || {}\r\n\r\n  var limits  = [ 0.01, Infinity ]\r\n  if('distanceLimits' in options) {\r\n    limits[0] = options.distanceLimits[0]\r\n    limits[1] = options.distanceLimits[1]\r\n  }\r\n  if('zoomMin' in options) {\r\n    limits[0] = options.zoomMin\r\n  }\r\n  if('zoomMax' in options) {\r\n    limits[1] = options.zoomMax\r\n  }\r\n\r\n  var view = createView({\r\n    center: options.center || [0,0,0],\r\n    up:     options.up     || [0,1,0],\r\n    eye:    options.eye    || [0,0,10],\r\n    mode:   options.mode   || 'orbit',\r\n    distanceLimits: limits\r\n  })\r\n\r\n  var pmatrix = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\r\n  var distance = 0.0\r\n  var width   = element.clientWidth\r\n  var height  = element.clientHeight\r\n\r\n  var camera = {\r\n    view:               view,\r\n    element:            element,\r\n    delay:              options.delay          || 16,\r\n    rotateSpeed:        options.rotateSpeed    || 1,\r\n    zoomSpeed:          options.zoomSpeed      || 1,\r\n    translateSpeed:     options.translateSpeed || 1,\r\n    flipX:              !!options.flipX,\r\n    flipY:              !!options.flipY,\r\n    modes:              view.modes,\r\n    tick: function() {\r\n      var t = now()\r\n      var delay = this.delay\r\n      view.idle(t-delay)\r\n      view.flush(t-(100+delay*2))\r\n      var ctime = t - 2 * delay\r\n      view.recalcMatrix(ctime)\r\n      var allEqual = true\r\n      var matrix = view.computedMatrix\r\n      for(var i=0; i<16; ++i) {\r\n        allEqual = allEqual && (pmatrix[i] === matrix[i])\r\n        pmatrix[i] = matrix[i]\r\n      }\r\n      var sizeChanged =\r\n          element.clientWidth === width &&\r\n          element.clientHeight === height\r\n      width  = element.clientWidth\r\n      height = element.clientHeight\r\n      if(allEqual) {\r\n        return !sizeChanged\r\n      }\r\n      distance = Math.exp(view.computedRadius[0])\r\n      return true\r\n    },\r\n    lookAt: function(center, eye, up) {\r\n      view.lookAt(view.lastT(), center, eye, up)\r\n    },\r\n    rotate: function(pitch, yaw, roll) {\r\n      view.rotate(view.lastT(), pitch, yaw, roll)\r\n    },\r\n    pan: function(dx, dy, dz) {\r\n      view.pan(view.lastT(), dx, dy, dz)\r\n    },\r\n    translate: function(dx, dy, dz) {\r\n      view.translate(view.lastT(), dx, dy, dz)\r\n    }\r\n  }\r\n\r\n  Object.defineProperties(camera, {\r\n    matrix: {\r\n      get: function() {\r\n        return view.computedMatrix\r\n      },\r\n      set: function(mat) {\r\n        view.setMatrix(view.lastT(), mat)\r\n        return view.computedMatrix\r\n      },\r\n      enumerable: true\r\n    },\r\n    mode: {\r\n      get: function() {\r\n        return view.getMode()\r\n      },\r\n      set: function(mode) {\r\n        view.setMode(mode)\r\n        return view.getMode()\r\n      },\r\n      enumerable: true\r\n    },\r\n    center: {\r\n      get: function() {\r\n        return view.computedCenter\r\n      },\r\n      set: function(ncenter) {\r\n        view.lookAt(view.lastT(), ncenter)\r\n        return view.computedCenter\r\n      },\r\n      enumerable: true\r\n    },\r\n    eye: {\r\n      get: function() {\r\n        return view.computedEye\r\n      },\r\n      set: function(neye) {\r\n        view.lookAt(view.lastT(), null, neye)\r\n        return view.computedEye\r\n      },\r\n      enumerable: true\r\n    },\r\n    up: {\r\n      get: function() {\r\n        return view.computedUp\r\n      },\r\n      set: function(nup) {\r\n        view.lookAt(view.lastT(), null, null, nup)\r\n        return view.computedUp\r\n      },\r\n      enumerable: true\r\n    },\r\n    distance: {\r\n      get: function() {\r\n        return distance\r\n      },\r\n      set: function(d) {\r\n        view.setDistance(view.lastT(), d)\r\n        return d\r\n      },\r\n      enumerable: true\r\n    },\r\n    distanceLimits: {\r\n      get: function() {\r\n        return view.getDistanceLimits(limits)\r\n      },\r\n      set: function(v) {\r\n        view.setDistanceLimits(v)\r\n        return v\r\n      },\r\n      enumerable: true\r\n    }\r\n  })\r\n\r\n  element.addEventListener('contextmenu', function(ev) {\r\n    ev.preventDefault()\r\n    return false\r\n  })\r\n\r\n  var lastX = 0, lastY = 0, lastMods = {shift: false, control: false, alt: false, meta: false}\r\n  mouseChange(element, handleInteraction)\r\n\r\n  //enable simple touch interactions\r\n  element.addEventListener('touchstart', function (ev) {\r\n    var xy = mouseOffset(ev.changedTouches[0], element)\r\n    handleInteraction(0, xy[0], xy[1], lastMods)\r\n    handleInteraction(1, xy[0], xy[1], lastMods)\r\n\r\n    ev.preventDefault()\r\n  }, hasPassive ? {passive: false} : false)\r\n\r\n  element.addEventListener('touchmove', function (ev) {\r\n    var xy = mouseOffset(ev.changedTouches[0], element)\r\n    handleInteraction(1, xy[0], xy[1], lastMods)\r\n\r\n    ev.preventDefault()\r\n  }, hasPassive ? {passive: false} : false)\r\n\r\n  element.addEventListener('touchend', function (ev) {\r\n    var xy = mouseOffset(ev.changedTouches[0], element)\r\n    handleInteraction(0, lastX, lastY, lastMods)\r\n\r\n    ev.preventDefault()\r\n  }, hasPassive ? {passive: false} : false)\r\n\r\n  function handleInteraction (buttons, x, y, mods) {\r\n    var scale = 1.0 / element.clientHeight\r\n    var dx    = scale * (x - lastX)\r\n    var dy    = scale * (y - lastY)\r\n\r\n    var flipX = camera.flipX ? 1 : -1\r\n    var flipY = camera.flipY ? 1 : -1\r\n\r\n    var drot  = Math.PI * camera.rotateSpeed\r\n\r\n    var t = now()\r\n\r\n    if(buttons & 1) {\r\n      if(mods.shift) {\r\n        view.rotate(t, 0, 0, -dx * drot)\r\n      } else {\r\n        view.rotate(t, flipX * drot * dx, -flipY * drot * dy, 0)\r\n      }\r\n    } else if(buttons & 2) {\r\n      view.pan(t, -camera.translateSpeed * dx * distance, camera.translateSpeed * dy * distance, 0)\r\n    } else if(buttons & 4) {\r\n      var kzoom = camera.zoomSpeed * dy / window.innerHeight * (t - view.lastT()) * 50.0\r\n      view.pan(t, 0, 0, distance * (Math.exp(kzoom) - 1))\r\n    }\r\n\r\n    lastX = x\r\n    lastY = y\r\n    lastMods = mods\r\n  }\r\n\r\n  mouseWheel(element, function(dx, dy, dz) {\r\n    var flipX = camera.flipX ? 1 : -1\r\n    var flipY = camera.flipY ? 1 : -1\r\n    var t = now()\r\n    if(Math.abs(dx) > Math.abs(dy)) {\r\n      view.rotate(t, 0, 0, -dx * flipX * Math.PI * camera.rotateSpeed / window.innerWidth)\r\n    } else {\r\n      var kzoom = camera.zoomSpeed * flipY * dy / window.innerHeight * (t - view.lastT()) / 100.0\r\n      view.pan(t, 0, 0, distance * (Math.exp(kzoom) - 1))\r\n    }\r\n  }, true)\r\n\r\n  return camera\r\n}\r\n\n},{\"3d-view\":45,\"has-passive-events\":394,\"mouse-change\":418,\"mouse-event-offset\":419,\"mouse-wheel\":421,\"right-now\":480}],45:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = createViewController\n\nvar createTurntable = _dereq_('turntable-camera-controller')\nvar createOrbit     = _dereq_('orbit-camera-controller')\nvar createMatrix    = _dereq_('matrix-camera-controller')\n\nfunction ViewController(controllers, mode) {\n  this._controllerNames = Object.keys(controllers)\n  this._controllerList = this._controllerNames.map(function(n) {\n    return controllers[n]\n  })\n  this._mode   = mode\n  this._active = controllers[mode]\n  if(!this._active) {\n    this._mode   = 'turntable'\n    this._active = controllers.turntable\n  }\n  this.modes = this._controllerNames\n  this.computedMatrix = this._active.computedMatrix\n  this.computedEye    = this._active.computedEye\n  this.computedUp     = this._active.computedUp\n  this.computedCenter = this._active.computedCenter\n  this.computedRadius = this._active.computedRadius\n}\n\nvar proto = ViewController.prototype\n\nvar COMMON_METHODS = [\n  ['flush', 1],\n  ['idle', 1],\n  ['lookAt', 4],\n  ['rotate', 4],\n  ['pan', 4],\n  ['translate', 4],\n  ['setMatrix', 2],\n  ['setDistanceLimits', 2],\n  ['setDistance', 2]\n]\n\nCOMMON_METHODS.forEach(function(method) {\n  var name = method[0]\n  var argNames = []\n  for(var i=0; i<method[1]; ++i) {\n    argNames.push('a'+i)\n  }\n  var code = 'var cc=this._controllerList;for(var i=0;i<cc.length;++i){cc[i].'+method[0]+'('+argNames.join()+')}'\n  proto[name] = Function.apply(null, argNames.concat(code))\n})\n\nproto.recalcMatrix = function(t) {\n  this._active.recalcMatrix(t)\n}\n\nproto.getDistance = function(t) {\n  return this._active.getDistance(t)\n}\nproto.getDistanceLimits = function(out) {\n  return this._active.getDistanceLimits(out)\n}\n\nproto.lastT = function() {\n  return this._active.lastT()\n}\n\nproto.setMode = function(mode) {\n  if(mode === this._mode) {\n    return\n  }\n  var idx = this._controllerNames.indexOf(mode)\n  if(idx < 0) {\n    return\n  }\n  var prev  = this._active\n  var next  = this._controllerList[idx]\n  var lastT = Math.max(prev.lastT(), next.lastT())\n\n  prev.recalcMatrix(lastT)\n  next.setMatrix(lastT, prev.computedMatrix)\n  \n  this._active = next\n  this._mode   = mode\n\n  //Update matrix properties\n  this.computedMatrix = this._active.computedMatrix\n  this.computedEye    = this._active.computedEye\n  this.computedUp     = this._active.computedUp\n  this.computedCenter = this._active.computedCenter\n  this.computedRadius = this._active.computedRadius\n}\n\nproto.getMode = function() {\n  return this._mode\n}\n\nfunction createViewController(options) {\n  options = options || {}\n\n  var eye       = options.eye    || [0,0,1]\n  var center    = options.center || [0,0,0]\n  var up        = options.up     || [0,1,0]\n  var limits    = options.distanceLimits || [0, Infinity]\n  var mode      = options.mode   || 'turntable'\n\n  var turntable = createTurntable()\n  var orbit     = createOrbit()\n  var matrix    = createMatrix()\n\n  turntable.setDistanceLimits(limits[0], limits[1])\n  turntable.lookAt(0, eye, center, up)\n  orbit.setDistanceLimits(limits[0], limits[1])\n  orbit.lookAt(0, eye, center, up)\n  matrix.setDistanceLimits(limits[0], limits[1])\n  matrix.lookAt(0, eye, center, up)\n\n  return new ViewController({\n    turntable: turntable,\n    orbit: orbit,\n    matrix: matrix\n  }, mode)\n}\n},{\"matrix-camera-controller\":416,\"orbit-camera-controller\":439,\"turntable-camera-controller\":519}],46:[function(_dereq_,module,exports){\n// https://github.com/d3/d3-sankey Version 0.5.1. Copyright 2018 Mike Bostock.\n(function (global, factory) {\n\ttypeof exports === 'object' && typeof module !== 'undefined' ? factory(exports, _dereq_('d3-array'), _dereq_('d3-collection'), _dereq_('d3-interpolate')) :\n\ttypeof define === 'function' && define.amd ? define(['exports', 'd3-array', 'd3-collection', 'd3-interpolate'], factory) :\n\t(factory((global.d3 = global.d3 || {}),global.d3,global.d3,global.d3));\n}(this, (function (exports,d3Array,d3Collection,d3Interpolate) { 'use strict';\n\nvar sankey = function() {\n  var sankey = {},\n      nodeWidth = 24,\n      nodePadding = 8,\n      size = [1, 1],\n      nodes = [],\n      links = [],\n      maxPaddedSpace = 2 / 3; // Defined as a fraction of the total available space\n\n  sankey.nodeWidth = function(_) {\n    if (!arguments.length) return nodeWidth;\n    nodeWidth = +_;\n    return sankey;\n  };\n\n  sankey.nodePadding = function(_) {\n    if (!arguments.length) return nodePadding;\n    nodePadding = +_;\n    return sankey;\n  };\n\n  sankey.nodes = function(_) {\n    if (!arguments.length) return nodes;\n    nodes = _;\n    return sankey;\n  };\n\n  sankey.links = function(_) {\n    if (!arguments.length) return links;\n    links = _;\n    return sankey;\n  };\n\n  sankey.size = function(_) {\n    if (!arguments.length) return size;\n    size = _;\n    return sankey;\n  };\n\n  sankey.layout = function(iterations) {\n    computeNodeLinks();\n    computeNodeValues();\n    computeNodeBreadths();\n    computeNodeDepths(iterations);\n    computeLinkDepths();\n    return sankey;\n  };\n\n  sankey.relayout = function() {\n    computeLinkDepths();\n    return sankey;\n  };\n\n  sankey.link = function() {\n    var curvature = .5;\n\n    function link(d) {\n      var x0 = d.source.x + d.source.dx,\n          x1 = d.target.x,\n          xi = d3Interpolate.interpolateNumber(x0, x1),\n          x2 = xi(curvature),\n          x3 = xi(1 - curvature),\n          y0a = d.source.y + d.sy,\n          y0b = y0a + d.dy,\n          y1a = d.target.y + d.ty,\n          y1b = y1a + d.dy;\n      return \"M\" + x0 + \",\" + y0a\n           + \"C\" + x2 + \",\" + y0a\n           + \" \" + x3 + \",\" + y1a\n           + \" \" + x1 + \",\" + y1a\n           + \"L\" + x1 + \",\" + y1b\n           + \"C\" + x3 + \",\" + y1b\n           + \" \" + x2 + \",\" + y0b\n           + \" \" + x0 + \",\" + y0b\n           + \"Z\";\n    }\n\n    link.curvature = function(_) {\n      if (!arguments.length) return curvature;\n      curvature = +_;\n      return link;\n    };\n\n    return link;\n  };\n\n  // Populate the sourceLinks and targetLinks for each node.\n  // Also, if the source and target are not objects, assume they are indices.\n  function computeNodeLinks() {\n    nodes.forEach(function(node) {\n      node.sourceLinks = [];\n      node.targetLinks = [];\n    });\n    links.forEach(function(link, i) {\n      var source = link.source,\n          target = link.target;\n      if (typeof source === \"number\") source = link.source = nodes[link.source];\n      if (typeof target === \"number\") target = link.target = nodes[link.target];\n      link.originalIndex = i;\n      source.sourceLinks.push(link);\n      target.targetLinks.push(link);\n    });\n  }\n\n  // Compute the value (size) of each node by summing the associated links.\n  function computeNodeValues() {\n    nodes.forEach(function(node) {\n      node.value = Math.max(\n        d3Array.sum(node.sourceLinks, value),\n        d3Array.sum(node.targetLinks, value)\n      );\n    });\n  }\n\n  // Iteratively assign the breadth (x-position) for each node.\n  // Nodes are assigned the maximum breadth of incoming neighbors plus one;\n  // nodes with no incoming links are assigned breadth zero, while\n  // nodes with no outgoing links are assigned the maximum breadth.\n  function computeNodeBreadths() {\n    var remainingNodes = nodes,\n        nextNodes,\n        x = 0;\n\n    while (remainingNodes.length) {\n      nextNodes = [];\n      remainingNodes.forEach(function(node) {\n        node.x = x;\n        node.dx = nodeWidth;\n        node.sourceLinks.forEach(function(link) {\n          if (nextNodes.indexOf(link.target) < 0) {\n            nextNodes.push(link.target);\n          }\n        });\n      });\n      remainingNodes = nextNodes;\n      ++x;\n    }\n\n    //\n    moveSinksRight(x);\n    scaleNodeBreadths((size[0] - nodeWidth) / (x - 1));\n  }\n\n  // function moveSourcesRight() {\n  //   nodes.forEach(function(node) {\n  //     if (!node.targetLinks.length) {\n  //       node.x = min(node.sourceLinks, function(d) { return d.target.x; }) - 1;\n  //     }\n  //   });\n  // }\n\n  function moveSinksRight(x) {\n    nodes.forEach(function(node) {\n      if (!node.sourceLinks.length) {\n        node.x = x - 1;\n      }\n    });\n  }\n\n  function scaleNodeBreadths(kx) {\n    nodes.forEach(function(node) {\n      node.x *= kx;\n    });\n  }\n\n  function computeNodeDepths(iterations) {\n    var nodesByBreadth = d3Collection.nest()\n        .key(function(d) { return d.x; })\n        .sortKeys(d3Array.ascending)\n        .entries(nodes)\n        .map(function(d) { return d.values; });\n\n    //\n    initializeNodeDepth();\n    resolveCollisions();\n    for (var alpha = 1; iterations > 0; --iterations) {\n      relaxRightToLeft(alpha *= .99);\n      resolveCollisions();\n      relaxLeftToRight(alpha);\n      resolveCollisions();\n    }\n\n    function initializeNodeDepth() {\n      var L = d3Array.max(nodesByBreadth, function(nodes) {\n        return nodes.length;\n      });\n      var maxNodePadding = maxPaddedSpace * size[1] / (L - 1);\n      if(nodePadding > maxNodePadding) nodePadding = maxNodePadding;\n      var ky = d3Array.min(nodesByBreadth, function(nodes) {\n        return (size[1] - (nodes.length - 1) * nodePadding) / d3Array.sum(nodes, value);\n      });\n\n      nodesByBreadth.forEach(function(nodes) {\n        nodes.forEach(function(node, i) {\n          node.y = i;\n          node.dy = node.value * ky;\n        });\n      });\n\n      links.forEach(function(link) {\n        link.dy = link.value * ky;\n      });\n    }\n\n    function relaxLeftToRight(alpha) {\n      nodesByBreadth.forEach(function(nodes) {\n        nodes.forEach(function(node) {\n          if (node.targetLinks.length) {\n            var y = d3Array.sum(node.targetLinks, weightedSource) / d3Array.sum(node.targetLinks, value);\n            node.y += (y - center(node)) * alpha;\n          }\n        });\n      });\n\n      function weightedSource(link) {\n        return center(link.source) * link.value;\n      }\n    }\n\n    function relaxRightToLeft(alpha) {\n      nodesByBreadth.slice().reverse().forEach(function(nodes) {\n        nodes.forEach(function(node) {\n          if (node.sourceLinks.length) {\n            var y = d3Array.sum(node.sourceLinks, weightedTarget) / d3Array.sum(node.sourceLinks, value);\n            node.y += (y - center(node)) * alpha;\n          }\n        });\n      });\n\n      function weightedTarget(link) {\n        return center(link.target) * link.value;\n      }\n    }\n\n    function resolveCollisions() {\n      nodesByBreadth.forEach(function(nodes) {\n        var node,\n            dy,\n            y0 = 0,\n            n = nodes.length,\n            i;\n\n        // Push any overlapping nodes down.\n        nodes.sort(ascendingDepth);\n        for (i = 0; i < n; ++i) {\n          node = nodes[i];\n          dy = y0 - node.y;\n          if (dy > 0) node.y += dy;\n          y0 = node.y + node.dy + nodePadding;\n        }\n\n        // If the bottommost node goes outside the bounds, push it back up.\n        dy = y0 - nodePadding - size[1];\n        if (dy > 0) {\n          y0 = node.y -= dy;\n\n          // Push any overlapping nodes back up.\n          for (i = n - 2; i >= 0; --i) {\n            node = nodes[i];\n            dy = node.y + node.dy + nodePadding - y0;\n            if (dy > 0) node.y -= dy;\n            y0 = node.y;\n          }\n        }\n      });\n    }\n\n    function ascendingDepth(a, b) {\n      return a.y - b.y;\n    }\n  }\n\n  function computeLinkDepths() {\n    nodes.forEach(function(node) {\n      node.sourceLinks.sort(ascendingTargetDepth);\n      node.targetLinks.sort(ascendingSourceDepth);\n    });\n    nodes.forEach(function(node) {\n      var sy = 0, ty = 0;\n      node.sourceLinks.forEach(function(link) {\n        link.sy = sy;\n        sy += link.dy;\n      });\n      node.targetLinks.forEach(function(link) {\n        link.ty = ty;\n        ty += link.dy;\n      });\n    });\n\n    function ascendingSourceDepth(a, b) {\n      return (a.source.y - b.source.y) || (a.originalIndex - b.originalIndex);\n    }\n\n    function ascendingTargetDepth(a, b) {\n      return (a.target.y - b.target.y) || (a.originalIndex - b.originalIndex);\n    }\n  }\n\n  function center(node) {\n    return node.y + node.dy / 2;\n  }\n\n  function value(link) {\n    return link.value;\n  }\n\n  return sankey;\n};\n\nexports.sankey = sankey;\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n})));\n\n},{\"d3-array\":140,\"d3-collection\":141,\"d3-interpolate\":145}],47:[function(_dereq_,module,exports){\n'use strict'\n\nvar weakMap      = typeof WeakMap === 'undefined' ? _dereq_('weak-map') : WeakMap\nvar createBuffer = _dereq_('gl-buffer')\nvar createVAO    = _dereq_('gl-vao')\n\nvar TriangleCache = new weakMap()\n\nfunction createABigTriangle(gl) {\n\n  var triangleVAO = TriangleCache.get(gl)\n  var handle = triangleVAO && (triangleVAO._triangleBuffer.handle || triangleVAO._triangleBuffer.buffer)\n  if(!handle || !gl.isBuffer(handle)) {\n    var buf = createBuffer(gl, new Float32Array([-1, -1, -1, 4, 4, -1]))\n    triangleVAO = createVAO(gl, [\n      { buffer: buf,\n        type: gl.FLOAT,\n        size: 2\n      }\n    ])\n    triangleVAO._triangleBuffer = buf\n    TriangleCache.set(gl, triangleVAO)\n  }\n  triangleVAO.bind()\n  gl.drawArrays(gl.TRIANGLES, 0, 3)\n  triangleVAO.unbind()\n}\n\nmodule.exports = createABigTriangle\n\n},{\"gl-buffer\":230,\"gl-vao\":310,\"weak-map\":529}],48:[function(_dereq_,module,exports){\n\nmodule.exports = absolutize\n\n/**\n * redefine `path` with absolute coordinates\n *\n * @param {Array} path\n * @return {Array}\n */\n\nfunction absolutize(path){\n\tvar startX = 0\n\tvar startY = 0\n\tvar x = 0\n\tvar y = 0\n\n\treturn path.map(function(seg){\n\t\tseg = seg.slice()\n\t\tvar type = seg[0]\n\t\tvar command = type.toUpperCase()\n\n\t\t// is relative\n\t\tif (type != command) {\n\t\t\tseg[0] = command\n\t\t\tswitch (type) {\n\t\t\t\tcase 'a':\n\t\t\t\t\tseg[6] += x\n\t\t\t\t\tseg[7] += y\n\t\t\t\t\tbreak\n\t\t\t\tcase 'v':\n\t\t\t\t\tseg[1] += y\n\t\t\t\t\tbreak\n\t\t\t\tcase 'h':\n\t\t\t\t\tseg[1] += x\n\t\t\t\t\tbreak\n\t\t\t\tdefault:\n\t\t\t\t\tfor (var i = 1; i < seg.length;) {\n\t\t\t\t\t\tseg[i++] += x\n\t\t\t\t\t\tseg[i++] += y\n\t\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// update cursor state\n\t\tswitch (command) {\n\t\t\tcase 'Z':\n\t\t\t\tx = startX\n\t\t\t\ty = startY\n\t\t\t\tbreak\n\t\t\tcase 'H':\n\t\t\t\tx = seg[1]\n\t\t\t\tbreak\n\t\t\tcase 'V':\n\t\t\t\ty = seg[1]\n\t\t\t\tbreak\n\t\t\tcase 'M':\n\t\t\t\tx = startX = seg[1]\n\t\t\t\ty = startY = seg[2]\n\t\t\t\tbreak\n\t\t\tdefault:\n\t\t\t\tx = seg[seg.length - 2]\n\t\t\t\ty = seg[seg.length - 1]\n\t\t}\n\n\t\treturn seg\n\t})\n}\n\n},{}],49:[function(_dereq_,module,exports){\nvar padLeft = _dereq_('pad-left')\n\nmodule.exports = addLineNumbers\nfunction addLineNumbers (string, start, delim) {\n  start = typeof start === 'number' ? start : 1\n  delim = delim || ': '\n\n  var lines = string.split(/\\r?\\n/)\n  var totalDigits = String(lines.length + start - 1).length\n  return lines.map(function (line, i) {\n    var c = i + start\n    var digits = String(c).length\n    var prefix = padLeft(c, totalDigits - digits)\n    return prefix + delim + line\n  }).join('\\n')\n}\n\n},{\"pad-left\":440}],50:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = affineHull\n\nvar orient = _dereq_('robust-orientation')\n\nfunction linearlyIndependent(points, d) {\n  var nhull = new Array(d+1)\n  for(var i=0; i<points.length; ++i) {\n    nhull[i] = points[i]\n  }\n  for(var i=0; i<=points.length; ++i) {\n    for(var j=points.length; j<=d; ++j) {\n      var x = new Array(d)\n      for(var k=0; k<d; ++k) {\n        x[k] = Math.pow(j+1-i, k)\n      }\n      nhull[j] = x\n    }\n    var o = orient.apply(void 0, nhull)\n    if(o) {\n      return true\n    }\n  }\n  return false\n}\n\nfunction affineHull(points) {\n  var n = points.length\n  if(n === 0) {\n    return []\n  }\n  if(n === 1) {\n    return [0]\n  }\n  var d = points[0].length\n  var frame = [ points[0] ]\n  var index = [ 0 ]\n  for(var i=1; i<n; ++i) {\n    frame.push(points[i])\n    if(!linearlyIndependent(frame, d)) {\n      frame.pop()\n      continue\n    }\n    index.push(i)\n    if(index.length === d+1) {\n      return index\n    }\n  }\n  return index\n}\n},{\"robust-orientation\":486}],51:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = alphaComplex\n\nvar delaunay = _dereq_('delaunay-triangulate')\nvar circumradius = _dereq_('circumradius')\n\nfunction alphaComplex(alpha, points) {\n  return delaunay(points).filter(function(cell) {\n    var simplex = new Array(cell.length)\n    for(var i=0; i<cell.length; ++i) {\n      simplex[i] = points[cell[i]]\n    }\n    return circumradius(simplex) * alpha < 1\n  })\n}\n},{\"circumradius\":102,\"delaunay-triangulate\":150}],52:[function(_dereq_,module,exports){\nmodule.exports = alphaShape\n\nvar ac = _dereq_('alpha-complex')\nvar bnd = _dereq_('simplicial-complex-boundary')\n\nfunction alphaShape(alpha, points) {\n  return bnd(ac(alpha, points))\n}\n},{\"alpha-complex\":51,\"simplicial-complex-boundary\":493}],53:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = normalize;\r\n\r\nfunction normalize (arr, dim) {\r\n\tif (!arr || arr.length == null) throw Error('Argument should be an array')\r\n\r\n\tif (dim == null) dim = 1\r\n\telse dim = Math.floor(dim)\r\n\r\n\tvar bounds = Array(dim * 2)\r\n\r\n\tfor (var offset = 0; offset < dim; offset++) {\r\n\t\tvar max = -Infinity, min = Infinity, i = offset, l = arr.length;\r\n\r\n\t\tfor (; i < l; i+=dim) {\r\n\t\t\tif (arr[i] > max) max = arr[i];\r\n\t\t\tif (arr[i] < min) min = arr[i];\r\n\t\t}\r\n\r\n\t\tbounds[offset] = min\r\n\t\tbounds[dim + offset] = max\r\n\t}\r\n\r\n\treturn bounds;\r\n}\r\n\n},{}],54:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar getBounds = _dereq_('array-bounds')\r\n\r\nmodule.exports = normalize;\r\n\r\nfunction normalize (arr, dim, bounds) {\r\n\tif (!arr || arr.length == null) throw Error('Argument should be an array')\r\n\r\n\tif (dim == null) dim = 1\r\n\tif (bounds == null) bounds = getBounds(arr, dim)\r\n\r\n\tfor (var offset = 0; offset < dim; offset++) {\r\n\t\tvar max = bounds[dim + offset], min = bounds[offset], i = offset, l = arr.length;\r\n\r\n\t\tif (max === Infinity && min === -Infinity) {\r\n\t\t\tfor (i = offset; i < l; i+=dim) {\r\n\t\t\t\tarr[i] = arr[i] === max ? 1 : arr[i] === min ? 0 : .5\r\n\t\t\t}\r\n\t\t}\r\n\t\telse if (max === Infinity) {\r\n\t\t\tfor (i = offset; i < l; i+=dim) {\r\n\t\t\t\tarr[i] = arr[i] === max ? 1 : 0\r\n\t\t\t}\r\n\t\t}\r\n\t\telse if (min === -Infinity) {\r\n\t\t\tfor (i = offset; i < l; i+=dim) {\r\n\t\t\t\tarr[i] = arr[i] === min ? 0 : 1\r\n\t\t\t}\r\n\t\t}\r\n\t\telse {\r\n\t\t\tvar range = max - min\r\n\t\t\tfor (i = offset; i < l; i+=dim) {\r\n\t\t\t\tarr[i] = range === 0 ? .5 : (arr[i] - min) / range\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n\r\n\treturn arr;\r\n}\r\n\n},{\"array-bounds\":53}],55:[function(_dereq_,module,exports){\n\nmodule.exports = function newArray(start, end) {\n    var n0 = typeof start === 'number',\n        n1 = typeof end === 'number'\n\n    if (n0 && !n1) {\n        end = start\n        start = 0\n    } else if (!n0 && !n1) {\n        start = 0\n        end = 0\n    }\n\n    start = start|0\n    end = end|0\n    var len = end-start\n    if (len<0)\n        throw new Error('array length must be positive')\n    \n    var a = new Array(len)\n    for (var i=0, c=start; i<len; i++, c++)\n        a[i] = c\n    return a\n}\n},{}],56:[function(_dereq_,module,exports){\n(function (global){\n'use strict';\n\n// compare and isBuffer taken from https://github.com/feross/buffer/blob/680e9e5e488f22aac27599a57dc844a6315928dd/index.js\n// original notice:\n\n/*!\n * The buffer module from node.js, for the browser.\n *\n * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n * @license  MIT\n */\nfunction compare(a, b) {\n  if (a === b) {\n    return 0;\n  }\n\n  var x = a.length;\n  var y = b.length;\n\n  for (var i = 0, len = Math.min(x, y); i < len; ++i) {\n    if (a[i] !== b[i]) {\n      x = a[i];\n      y = b[i];\n      break;\n    }\n  }\n\n  if (x < y) {\n    return -1;\n  }\n  if (y < x) {\n    return 1;\n  }\n  return 0;\n}\nfunction isBuffer(b) {\n  if (global.Buffer && typeof global.Buffer.isBuffer === 'function') {\n    return global.Buffer.isBuffer(b);\n  }\n  return !!(b != null && b._isBuffer);\n}\n\n// based on node assert, original notice:\n\n// http://wiki.commonjs.org/wiki/Unit_Testing/1.0\n//\n// THIS IS NOT TESTED NOR LIKELY TO WORK OUTSIDE V8!\n//\n// Originally from narwhal.js (http://narwhaljs.org)\n// Copyright (c) 2009 Thomas Robinson <280north.com>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the 'Software'), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN\n// ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION\n// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nvar util = _dereq_('util/');\nvar hasOwn = Object.prototype.hasOwnProperty;\nvar pSlice = Array.prototype.slice;\nvar functionsHaveNames = (function () {\n  return function foo() {}.name === 'foo';\n}());\nfunction pToString (obj) {\n  return Object.prototype.toString.call(obj);\n}\nfunction isView(arrbuf) {\n  if (isBuffer(arrbuf)) {\n    return false;\n  }\n  if (typeof global.ArrayBuffer !== 'function') {\n    return false;\n  }\n  if (typeof ArrayBuffer.isView === 'function') {\n    return ArrayBuffer.isView(arrbuf);\n  }\n  if (!arrbuf) {\n    return false;\n  }\n  if (arrbuf instanceof DataView) {\n    return true;\n  }\n  if (arrbuf.buffer && arrbuf.buffer instanceof ArrayBuffer) {\n    return true;\n  }\n  return false;\n}\n// 1. The assert module provides functions that throw\n// AssertionError's when particular conditions are not met. The\n// assert module must conform to the following interface.\n\nvar assert = module.exports = ok;\n\n// 2. The AssertionError is defined in assert.\n// new assert.AssertionError({ message: message,\n//                             actual: actual,\n//                             expected: expected })\n\nvar regex = /\\s*function\\s+([^\\(\\s]*)\\s*/;\n// based on https://github.com/ljharb/function.prototype.name/blob/adeeeec8bfcc6068b187d7d9fb3d5bb1d3a30899/implementation.js\nfunction getName(func) {\n  if (!util.isFunction(func)) {\n    return;\n  }\n  if (functionsHaveNames) {\n    return func.name;\n  }\n  var str = func.toString();\n  var match = str.match(regex);\n  return match && match[1];\n}\nassert.AssertionError = function AssertionError(options) {\n  this.name = 'AssertionError';\n  this.actual = options.actual;\n  this.expected = options.expected;\n  this.operator = options.operator;\n  if (options.message) {\n    this.message = options.message;\n    this.generatedMessage = false;\n  } else {\n    this.message = getMessage(this);\n    this.generatedMessage = true;\n  }\n  var stackStartFunction = options.stackStartFunction || fail;\n  if (Error.captureStackTrace) {\n    Error.captureStackTrace(this, stackStartFunction);\n  } else {\n    // non v8 browsers so we can have a stacktrace\n    var err = new Error();\n    if (err.stack) {\n      var out = err.stack;\n\n      // try to strip useless frames\n      var fn_name = getName(stackStartFunction);\n      var idx = out.indexOf('\\n' + fn_name);\n      if (idx >= 0) {\n        // once we have located the function frame\n        // we need to strip out everything before it (and its line)\n        var next_line = out.indexOf('\\n', idx + 1);\n        out = out.substring(next_line + 1);\n      }\n\n      this.stack = out;\n    }\n  }\n};\n\n// assert.AssertionError instanceof Error\nutil.inherits(assert.AssertionError, Error);\n\nfunction truncate(s, n) {\n  if (typeof s === 'string') {\n    return s.length < n ? s : s.slice(0, n);\n  } else {\n    return s;\n  }\n}\nfunction inspect(something) {\n  if (functionsHaveNames || !util.isFunction(something)) {\n    return util.inspect(something);\n  }\n  var rawname = getName(something);\n  var name = rawname ? ': ' + rawname : '';\n  return '[Function' +  name + ']';\n}\nfunction getMessage(self) {\n  return truncate(inspect(self.actual), 128) + ' ' +\n         self.operator + ' ' +\n         truncate(inspect(self.expected), 128);\n}\n\n// At present only the three keys mentioned above are used and\n// understood by the spec. Implementations or sub modules can pass\n// other keys to the AssertionError's constructor - they will be\n// ignored.\n\n// 3. All of the following functions must throw an AssertionError\n// when a corresponding condition is not met, with a message that\n// may be undefined if not provided.  All assertion methods provide\n// both the actual and expected values to the assertion error for\n// display purposes.\n\nfunction fail(actual, expected, message, operator, stackStartFunction) {\n  throw new assert.AssertionError({\n    message: message,\n    actual: actual,\n    expected: expected,\n    operator: operator,\n    stackStartFunction: stackStartFunction\n  });\n}\n\n// EXTENSION! allows for well behaved errors defined elsewhere.\nassert.fail = fail;\n\n// 4. Pure assertion tests whether a value is truthy, as determined\n// by !!guard.\n// assert.ok(guard, message_opt);\n// This statement is equivalent to assert.equal(true, !!guard,\n// message_opt);. To test strictly for the value true, use\n// assert.strictEqual(true, guard, message_opt);.\n\nfunction ok(value, message) {\n  if (!value) fail(value, true, message, '==', assert.ok);\n}\nassert.ok = ok;\n\n// 5. The equality assertion tests shallow, coercive equality with\n// ==.\n// assert.equal(actual, expected, message_opt);\n\nassert.equal = function equal(actual, expected, message) {\n  if (actual != expected) fail(actual, expected, message, '==', assert.equal);\n};\n\n// 6. The non-equality assertion tests for whether two objects are not equal\n// with != assert.notEqual(actual, expected, message_opt);\n\nassert.notEqual = function notEqual(actual, expected, message) {\n  if (actual == expected) {\n    fail(actual, expected, message, '!=', assert.notEqual);\n  }\n};\n\n// 7. The equivalence assertion tests a deep equality relation.\n// assert.deepEqual(actual, expected, message_opt);\n\nassert.deepEqual = function deepEqual(actual, expected, message) {\n  if (!_deepEqual(actual, expected, false)) {\n    fail(actual, expected, message, 'deepEqual', assert.deepEqual);\n  }\n};\n\nassert.deepStrictEqual = function deepStrictEqual(actual, expected, message) {\n  if (!_deepEqual(actual, expected, true)) {\n    fail(actual, expected, message, 'deepStrictEqual', assert.deepStrictEqual);\n  }\n};\n\nfunction _deepEqual(actual, expected, strict, memos) {\n  // 7.1. All identical values are equivalent, as determined by ===.\n  if (actual === expected) {\n    return true;\n  } else if (isBuffer(actual) && isBuffer(expected)) {\n    return compare(actual, expected) === 0;\n\n  // 7.2. If the expected value is a Date object, the actual value is\n  // equivalent if it is also a Date object that refers to the same time.\n  } else if (util.isDate(actual) && util.isDate(expected)) {\n    return actual.getTime() === expected.getTime();\n\n  // 7.3 If the expected value is a RegExp object, the actual value is\n  // equivalent if it is also a RegExp object with the same source and\n  // properties (`global`, `multiline`, `lastIndex`, `ignoreCase`).\n  } else if (util.isRegExp(actual) && util.isRegExp(expected)) {\n    return actual.source === expected.source &&\n           actual.global === expected.global &&\n           actual.multiline === expected.multiline &&\n           actual.lastIndex === expected.lastIndex &&\n           actual.ignoreCase === expected.ignoreCase;\n\n  // 7.4. Other pairs that do not both pass typeof value == 'object',\n  // equivalence is determined by ==.\n  } else if ((actual === null || typeof actual !== 'object') &&\n             (expected === null || typeof expected !== 'object')) {\n    return strict ? actual === expected : actual == expected;\n\n  // If both values are instances of typed arrays, wrap their underlying\n  // ArrayBuffers in a Buffer each to increase performance\n  // This optimization requires the arrays to have the same type as checked by\n  // Object.prototype.toString (aka pToString). Never perform binary\n  // comparisons for Float*Arrays, though, since e.g. +0 === -0 but their\n  // bit patterns are not identical.\n  } else if (isView(actual) && isView(expected) &&\n             pToString(actual) === pToString(expected) &&\n             !(actual instanceof Float32Array ||\n               actual instanceof Float64Array)) {\n    return compare(new Uint8Array(actual.buffer),\n                   new Uint8Array(expected.buffer)) === 0;\n\n  // 7.5 For all other Object pairs, including Array objects, equivalence is\n  // determined by having the same number of owned properties (as verified\n  // with Object.prototype.hasOwnProperty.call), the same set of keys\n  // (although not necessarily the same order), equivalent values for every\n  // corresponding key, and an identical 'prototype' property. Note: this\n  // accounts for both named and indexed properties on Arrays.\n  } else if (isBuffer(actual) !== isBuffer(expected)) {\n    return false;\n  } else {\n    memos = memos || {actual: [], expected: []};\n\n    var actualIndex = memos.actual.indexOf(actual);\n    if (actualIndex !== -1) {\n      if (actualIndex === memos.expected.indexOf(expected)) {\n        return true;\n      }\n    }\n\n    memos.actual.push(actual);\n    memos.expected.push(expected);\n\n    return objEquiv(actual, expected, strict, memos);\n  }\n}\n\nfunction isArguments(object) {\n  return Object.prototype.toString.call(object) == '[object Arguments]';\n}\n\nfunction objEquiv(a, b, strict, actualVisitedObjects) {\n  if (a === null || a === undefined || b === null || b === undefined)\n    return false;\n  // if one is a primitive, the other must be same\n  if (util.isPrimitive(a) || util.isPrimitive(b))\n    return a === b;\n  if (strict && Object.getPrototypeOf(a) !== Object.getPrototypeOf(b))\n    return false;\n  var aIsArgs = isArguments(a);\n  var bIsArgs = isArguments(b);\n  if ((aIsArgs && !bIsArgs) || (!aIsArgs && bIsArgs))\n    return false;\n  if (aIsArgs) {\n    a = pSlice.call(a);\n    b = pSlice.call(b);\n    return _deepEqual(a, b, strict);\n  }\n  var ka = objectKeys(a);\n  var kb = objectKeys(b);\n  var key, i;\n  // having the same number of owned properties (keys incorporates\n  // hasOwnProperty)\n  if (ka.length !== kb.length)\n    return false;\n  //the same set of keys (although not necessarily the same order),\n  ka.sort();\n  kb.sort();\n  //~~~cheap key test\n  for (i = ka.length - 1; i >= 0; i--) {\n    if (ka[i] !== kb[i])\n      return false;\n  }\n  //equivalent values for every corresponding key, and\n  //~~~possibly expensive deep test\n  for (i = ka.length - 1; i >= 0; i--) {\n    key = ka[i];\n    if (!_deepEqual(a[key], b[key], strict, actualVisitedObjects))\n      return false;\n  }\n  return true;\n}\n\n// 8. The non-equivalence assertion tests for any deep inequality.\n// assert.notDeepEqual(actual, expected, message_opt);\n\nassert.notDeepEqual = function notDeepEqual(actual, expected, message) {\n  if (_deepEqual(actual, expected, false)) {\n    fail(actual, expected, message, 'notDeepEqual', assert.notDeepEqual);\n  }\n};\n\nassert.notDeepStrictEqual = notDeepStrictEqual;\nfunction notDeepStrictEqual(actual, expected, message) {\n  if (_deepEqual(actual, expected, true)) {\n    fail(actual, expected, message, 'notDeepStrictEqual', notDeepStrictEqual);\n  }\n}\n\n\n// 9. The strict equality assertion tests strict equality, as determined by ===.\n// assert.strictEqual(actual, expected, message_opt);\n\nassert.strictEqual = function strictEqual(actual, expected, message) {\n  if (actual !== expected) {\n    fail(actual, expected, message, '===', assert.strictEqual);\n  }\n};\n\n// 10. The strict non-equality assertion tests for strict inequality, as\n// determined by !==.  assert.notStrictEqual(actual, expected, message_opt);\n\nassert.notStrictEqual = function notStrictEqual(actual, expected, message) {\n  if (actual === expected) {\n    fail(actual, expected, message, '!==', assert.notStrictEqual);\n  }\n};\n\nfunction expectedException(actual, expected) {\n  if (!actual || !expected) {\n    return false;\n  }\n\n  if (Object.prototype.toString.call(expected) == '[object RegExp]') {\n    return expected.test(actual);\n  }\n\n  try {\n    if (actual instanceof expected) {\n      return true;\n    }\n  } catch (e) {\n    // Ignore.  The instanceof check doesn't work for arrow functions.\n  }\n\n  if (Error.isPrototypeOf(expected)) {\n    return false;\n  }\n\n  return expected.call({}, actual) === true;\n}\n\nfunction _tryBlock(block) {\n  var error;\n  try {\n    block();\n  } catch (e) {\n    error = e;\n  }\n  return error;\n}\n\nfunction _throws(shouldThrow, block, expected, message) {\n  var actual;\n\n  if (typeof block !== 'function') {\n    throw new TypeError('\"block\" argument must be a function');\n  }\n\n  if (typeof expected === 'string') {\n    message = expected;\n    expected = null;\n  }\n\n  actual = _tryBlock(block);\n\n  message = (expected && expected.name ? ' (' + expected.name + ').' : '.') +\n            (message ? ' ' + message : '.');\n\n  if (shouldThrow && !actual) {\n    fail(actual, expected, 'Missing expected exception' + message);\n  }\n\n  var userProvidedMessage = typeof message === 'string';\n  var isUnwantedException = !shouldThrow && util.isError(actual);\n  var isUnexpectedException = !shouldThrow && actual && !expected;\n\n  if ((isUnwantedException &&\n      userProvidedMessage &&\n      expectedException(actual, expected)) ||\n      isUnexpectedException) {\n    fail(actual, expected, 'Got unwanted exception' + message);\n  }\n\n  if ((shouldThrow && actual && expected &&\n      !expectedException(actual, expected)) || (!shouldThrow && actual)) {\n    throw actual;\n  }\n}\n\n// 11. Expected to throw an error:\n// assert.throws(block, Error_opt, message_opt);\n\nassert.throws = function(block, /*optional*/error, /*optional*/message) {\n  _throws(true, block, error, message);\n};\n\n// EXTENSION! This is annoying to write outside this module.\nassert.doesNotThrow = function(block, /*optional*/error, /*optional*/message) {\n  _throws(false, block, error, message);\n};\n\nassert.ifError = function(err) { if (err) throw err; };\n\nvar objectKeys = Object.keys || function (obj) {\n  var keys = [];\n  for (var key in obj) {\n    if (hasOwn.call(obj, key)) keys.push(key);\n  }\n  return keys;\n};\n\n}).call(this,typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {})\n},{\"util/\":59}],57:[function(_dereq_,module,exports){\nif (typeof Object.create === 'function') {\n  // implementation from standard node.js 'util' module\n  module.exports = function inherits(ctor, superCtor) {\n    ctor.super_ = superCtor\n    ctor.prototype = Object.create(superCtor.prototype, {\n      constructor: {\n        value: ctor,\n        enumerable: false,\n        writable: true,\n        configurable: true\n      }\n    });\n  };\n} else {\n  // old school shim for old browsers\n  module.exports = function inherits(ctor, superCtor) {\n    ctor.super_ = superCtor\n    var TempCtor = function () {}\n    TempCtor.prototype = superCtor.prototype\n    ctor.prototype = new TempCtor()\n    ctor.prototype.constructor = ctor\n  }\n}\n\n},{}],58:[function(_dereq_,module,exports){\nmodule.exports = function isBuffer(arg) {\n  return arg && typeof arg === 'object'\n    && typeof arg.copy === 'function'\n    && typeof arg.fill === 'function'\n    && typeof arg.readUInt8 === 'function';\n}\n},{}],59:[function(_dereq_,module,exports){\n(function (process,global){\n// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nvar formatRegExp = /%[sdj%]/g;\nexports.format = function(f) {\n  if (!isString(f)) {\n    var objects = [];\n    for (var i = 0; i < arguments.length; i++) {\n      objects.push(inspect(arguments[i]));\n    }\n    return objects.join(' ');\n  }\n\n  var i = 1;\n  var args = arguments;\n  var len = args.length;\n  var str = String(f).replace(formatRegExp, function(x) {\n    if (x === '%%') return '%';\n    if (i >= len) return x;\n    switch (x) {\n      case '%s': return String(args[i++]);\n      case '%d': return Number(args[i++]);\n      case '%j':\n        try {\n          return JSON.stringify(args[i++]);\n        } catch (_) {\n          return '[Circular]';\n        }\n      default:\n        return x;\n    }\n  });\n  for (var x = args[i]; i < len; x = args[++i]) {\n    if (isNull(x) || !isObject(x)) {\n      str += ' ' + x;\n    } else {\n      str += ' ' + inspect(x);\n    }\n  }\n  return str;\n};\n\n\n// Mark that a method should not be used.\n// Returns a modified function which warns once by default.\n// If --no-deprecation is set, then it is a no-op.\nexports.deprecate = function(fn, msg) {\n  // Allow for deprecating things in the process of starting up.\n  if (isUndefined(global.process)) {\n    return function() {\n      return exports.deprecate(fn, msg).apply(this, arguments);\n    };\n  }\n\n  if (process.noDeprecation === true) {\n    return fn;\n  }\n\n  var warned = false;\n  function deprecated() {\n    if (!warned) {\n      if (process.throwDeprecation) {\n        throw new Error(msg);\n      } else if (process.traceDeprecation) {\n        console.trace(msg);\n      } else {\n        console.error(msg);\n      }\n      warned = true;\n    }\n    return fn.apply(this, arguments);\n  }\n\n  return deprecated;\n};\n\n\nvar debugs = {};\nvar debugEnviron;\nexports.debuglog = function(set) {\n  if (isUndefined(debugEnviron))\n    debugEnviron = process.env.NODE_DEBUG || '';\n  set = set.toUpperCase();\n  if (!debugs[set]) {\n    if (new RegExp('\\\\b' + set + '\\\\b', 'i').test(debugEnviron)) {\n      var pid = process.pid;\n      debugs[set] = function() {\n        var msg = exports.format.apply(exports, arguments);\n        console.error('%s %d: %s', set, pid, msg);\n      };\n    } else {\n      debugs[set] = function() {};\n    }\n  }\n  return debugs[set];\n};\n\n\n/**\n * Echos the value of a value. Trys to print the value out\n * in the best way possible given the different types.\n *\n * @param {Object} obj The object to print out.\n * @param {Object} opts Optional options object that alters the output.\n */\n/* legacy: obj, showHidden, depth, colors*/\nfunction inspect(obj, opts) {\n  // default options\n  var ctx = {\n    seen: [],\n    stylize: stylizeNoColor\n  };\n  // legacy...\n  if (arguments.length >= 3) ctx.depth = arguments[2];\n  if (arguments.length >= 4) ctx.colors = arguments[3];\n  if (isBoolean(opts)) {\n    // legacy...\n    ctx.showHidden = opts;\n  } else if (opts) {\n    // got an \"options\" object\n    exports._extend(ctx, opts);\n  }\n  // set default options\n  if (isUndefined(ctx.showHidden)) ctx.showHidden = false;\n  if (isUndefined(ctx.depth)) ctx.depth = 2;\n  if (isUndefined(ctx.colors)) ctx.colors = false;\n  if (isUndefined(ctx.customInspect)) ctx.customInspect = true;\n  if (ctx.colors) ctx.stylize = stylizeWithColor;\n  return formatValue(ctx, obj, ctx.depth);\n}\nexports.inspect = inspect;\n\n\n// http://en.wikipedia.org/wiki/ANSI_escape_code#graphics\ninspect.colors = {\n  'bold' : [1, 22],\n  'italic' : [3, 23],\n  'underline' : [4, 24],\n  'inverse' : [7, 27],\n  'white' : [37, 39],\n  'grey' : [90, 39],\n  'black' : [30, 39],\n  'blue' : [34, 39],\n  'cyan' : [36, 39],\n  'green' : [32, 39],\n  'magenta' : [35, 39],\n  'red' : [31, 39],\n  'yellow' : [33, 39]\n};\n\n// Don't use 'blue' not visible on cmd.exe\ninspect.styles = {\n  'special': 'cyan',\n  'number': 'yellow',\n  'boolean': 'yellow',\n  'undefined': 'grey',\n  'null': 'bold',\n  'string': 'green',\n  'date': 'magenta',\n  // \"name\": intentionally not styling\n  'regexp': 'red'\n};\n\n\nfunction stylizeWithColor(str, styleType) {\n  var style = inspect.styles[styleType];\n\n  if (style) {\n    return '\\u001b[' + inspect.colors[style][0] + 'm' + str +\n           '\\u001b[' + inspect.colors[style][1] + 'm';\n  } else {\n    return str;\n  }\n}\n\n\nfunction stylizeNoColor(str, styleType) {\n  return str;\n}\n\n\nfunction arrayToHash(array) {\n  var hash = {};\n\n  array.forEach(function(val, idx) {\n    hash[val] = true;\n  });\n\n  return hash;\n}\n\n\nfunction formatValue(ctx, value, recurseTimes) {\n  // Provide a hook for user-specified inspect functions.\n  // Check that value is an object with an inspect function on it\n  if (ctx.customInspect &&\n      value &&\n      isFunction(value.inspect) &&\n      // Filter out the util module, it's inspect function is special\n      value.inspect !== exports.inspect &&\n      // Also filter out any prototype objects using the circular check.\n      !(value.constructor && value.constructor.prototype === value)) {\n    var ret = value.inspect(recurseTimes, ctx);\n    if (!isString(ret)) {\n      ret = formatValue(ctx, ret, recurseTimes);\n    }\n    return ret;\n  }\n\n  // Primitive types cannot have properties\n  var primitive = formatPrimitive(ctx, value);\n  if (primitive) {\n    return primitive;\n  }\n\n  // Look up the keys of the object.\n  var keys = Object.keys(value);\n  var visibleKeys = arrayToHash(keys);\n\n  if (ctx.showHidden) {\n    keys = Object.getOwnPropertyNames(value);\n  }\n\n  // IE doesn't make error fields non-enumerable\n  // http://msdn.microsoft.com/en-us/library/ie/dww52sbt(v=vs.94).aspx\n  if (isError(value)\n      && (keys.indexOf('message') >= 0 || keys.indexOf('description') >= 0)) {\n    return formatError(value);\n  }\n\n  // Some type of object without properties can be shortcutted.\n  if (keys.length === 0) {\n    if (isFunction(value)) {\n      var name = value.name ? ': ' + value.name : '';\n      return ctx.stylize('[Function' + name + ']', 'special');\n    }\n    if (isRegExp(value)) {\n      return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp');\n    }\n    if (isDate(value)) {\n      return ctx.stylize(Date.prototype.toString.call(value), 'date');\n    }\n    if (isError(value)) {\n      return formatError(value);\n    }\n  }\n\n  var base = '', array = false, braces = ['{', '}'];\n\n  // Make Array say that they are Array\n  if (isArray(value)) {\n    array = true;\n    braces = ['[', ']'];\n  }\n\n  // Make functions say that they are functions\n  if (isFunction(value)) {\n    var n = value.name ? ': ' + value.name : '';\n    base = ' [Function' + n + ']';\n  }\n\n  // Make RegExps say that they are RegExps\n  if (isRegExp(value)) {\n    base = ' ' + RegExp.prototype.toString.call(value);\n  }\n\n  // Make dates with properties first say the date\n  if (isDate(value)) {\n    base = ' ' + Date.prototype.toUTCString.call(value);\n  }\n\n  // Make error with message first say the error\n  if (isError(value)) {\n    base = ' ' + formatError(value);\n  }\n\n  if (keys.length === 0 && (!array || value.length == 0)) {\n    return braces[0] + base + braces[1];\n  }\n\n  if (recurseTimes < 0) {\n    if (isRegExp(value)) {\n      return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp');\n    } else {\n      return ctx.stylize('[Object]', 'special');\n    }\n  }\n\n  ctx.seen.push(value);\n\n  var output;\n  if (array) {\n    output = formatArray(ctx, value, recurseTimes, visibleKeys, keys);\n  } else {\n    output = keys.map(function(key) {\n      return formatProperty(ctx, value, recurseTimes, visibleKeys, key, array);\n    });\n  }\n\n  ctx.seen.pop();\n\n  return reduceToSingleString(output, base, braces);\n}\n\n\nfunction formatPrimitive(ctx, value) {\n  if (isUndefined(value))\n    return ctx.stylize('undefined', 'undefined');\n  if (isString(value)) {\n    var simple = '\\'' + JSON.stringify(value).replace(/^\"|\"$/g, '')\n                                             .replace(/'/g, \"\\\\'\")\n                                             .replace(/\\\\\"/g, '\"') + '\\'';\n    return ctx.stylize(simple, 'string');\n  }\n  if (isNumber(value))\n    return ctx.stylize('' + value, 'number');\n  if (isBoolean(value))\n    return ctx.stylize('' + value, 'boolean');\n  // For some reason typeof null is \"object\", so special case here.\n  if (isNull(value))\n    return ctx.stylize('null', 'null');\n}\n\n\nfunction formatError(value) {\n  return '[' + Error.prototype.toString.call(value) + ']';\n}\n\n\nfunction formatArray(ctx, value, recurseTimes, visibleKeys, keys) {\n  var output = [];\n  for (var i = 0, l = value.length; i < l; ++i) {\n    if (hasOwnProperty(value, String(i))) {\n      output.push(formatProperty(ctx, value, recurseTimes, visibleKeys,\n          String(i), true));\n    } else {\n      output.push('');\n    }\n  }\n  keys.forEach(function(key) {\n    if (!key.match(/^\\d+$/)) {\n      output.push(formatProperty(ctx, value, recurseTimes, visibleKeys,\n          key, true));\n    }\n  });\n  return output;\n}\n\n\nfunction formatProperty(ctx, value, recurseTimes, visibleKeys, key, array) {\n  var name, str, desc;\n  desc = Object.getOwnPropertyDescriptor(value, key) || { value: value[key] };\n  if (desc.get) {\n    if (desc.set) {\n      str = ctx.stylize('[Getter/Setter]', 'special');\n    } else {\n      str = ctx.stylize('[Getter]', 'special');\n    }\n  } else {\n    if (desc.set) {\n      str = ctx.stylize('[Setter]', 'special');\n    }\n  }\n  if (!hasOwnProperty(visibleKeys, key)) {\n    name = '[' + key + ']';\n  }\n  if (!str) {\n    if (ctx.seen.indexOf(desc.value) < 0) {\n      if (isNull(recurseTimes)) {\n        str = formatValue(ctx, desc.value, null);\n      } else {\n        str = formatValue(ctx, desc.value, recurseTimes - 1);\n      }\n      if (str.indexOf('\\n') > -1) {\n        if (array) {\n          str = str.split('\\n').map(function(line) {\n            return '  ' + line;\n          }).join('\\n').substr(2);\n        } else {\n          str = '\\n' + str.split('\\n').map(function(line) {\n            return '   ' + line;\n          }).join('\\n');\n        }\n      }\n    } else {\n      str = ctx.stylize('[Circular]', 'special');\n    }\n  }\n  if (isUndefined(name)) {\n    if (array && key.match(/^\\d+$/)) {\n      return str;\n    }\n    name = JSON.stringify('' + key);\n    if (name.match(/^\"([a-zA-Z_][a-zA-Z_0-9]*)\"$/)) {\n      name = name.substr(1, name.length - 2);\n      name = ctx.stylize(name, 'name');\n    } else {\n      name = name.replace(/'/g, \"\\\\'\")\n                 .replace(/\\\\\"/g, '\"')\n                 .replace(/(^\"|\"$)/g, \"'\");\n      name = ctx.stylize(name, 'string');\n    }\n  }\n\n  return name + ': ' + str;\n}\n\n\nfunction reduceToSingleString(output, base, braces) {\n  var numLinesEst = 0;\n  var length = output.reduce(function(prev, cur) {\n    numLinesEst++;\n    if (cur.indexOf('\\n') >= 0) numLinesEst++;\n    return prev + cur.replace(/\\u001b\\[\\d\\d?m/g, '').length + 1;\n  }, 0);\n\n  if (length > 60) {\n    return braces[0] +\n           (base === '' ? '' : base + '\\n ') +\n           ' ' +\n           output.join(',\\n  ') +\n           ' ' +\n           braces[1];\n  }\n\n  return braces[0] + base + ' ' + output.join(', ') + ' ' + braces[1];\n}\n\n\n// NOTE: These type checking functions intentionally don't use `instanceof`\n// because it is fragile and can be easily faked with `Object.create()`.\nfunction isArray(ar) {\n  return Array.isArray(ar);\n}\nexports.isArray = isArray;\n\nfunction isBoolean(arg) {\n  return typeof arg === 'boolean';\n}\nexports.isBoolean = isBoolean;\n\nfunction isNull(arg) {\n  return arg === null;\n}\nexports.isNull = isNull;\n\nfunction isNullOrUndefined(arg) {\n  return arg == null;\n}\nexports.isNullOrUndefined = isNullOrUndefined;\n\nfunction isNumber(arg) {\n  return typeof arg === 'number';\n}\nexports.isNumber = isNumber;\n\nfunction isString(arg) {\n  return typeof arg === 'string';\n}\nexports.isString = isString;\n\nfunction isSymbol(arg) {\n  return typeof arg === 'symbol';\n}\nexports.isSymbol = isSymbol;\n\nfunction isUndefined(arg) {\n  return arg === void 0;\n}\nexports.isUndefined = isUndefined;\n\nfunction isRegExp(re) {\n  return isObject(re) && objectToString(re) === '[object RegExp]';\n}\nexports.isRegExp = isRegExp;\n\nfunction isObject(arg) {\n  return typeof arg === 'object' && arg !== null;\n}\nexports.isObject = isObject;\n\nfunction isDate(d) {\n  return isObject(d) && objectToString(d) === '[object Date]';\n}\nexports.isDate = isDate;\n\nfunction isError(e) {\n  return isObject(e) &&\n      (objectToString(e) === '[object Error]' || e instanceof Error);\n}\nexports.isError = isError;\n\nfunction isFunction(arg) {\n  return typeof arg === 'function';\n}\nexports.isFunction = isFunction;\n\nfunction isPrimitive(arg) {\n  return arg === null ||\n         typeof arg === 'boolean' ||\n         typeof arg === 'number' ||\n         typeof arg === 'string' ||\n         typeof arg === 'symbol' ||  // ES6 symbol\n         typeof arg === 'undefined';\n}\nexports.isPrimitive = isPrimitive;\n\nexports.isBuffer = _dereq_('./support/isBuffer');\n\nfunction objectToString(o) {\n  return Object.prototype.toString.call(o);\n}\n\n\nfunction pad(n) {\n  return n < 10 ? '0' + n.toString(10) : n.toString(10);\n}\n\n\nvar months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep',\n              'Oct', 'Nov', 'Dec'];\n\n// 26 Feb 16:19:34\nfunction timestamp() {\n  var d = new Date();\n  var time = [pad(d.getHours()),\n              pad(d.getMinutes()),\n              pad(d.getSeconds())].join(':');\n  return [d.getDate(), months[d.getMonth()], time].join(' ');\n}\n\n\n// log is just a thin wrapper to console.log that prepends a timestamp\nexports.log = function() {\n  console.log('%s - %s', timestamp(), exports.format.apply(exports, arguments));\n};\n\n\n/**\n * Inherit the prototype methods from one constructor into another.\n *\n * The Function.prototype.inherits from lang.js rewritten as a standalone\n * function (not on Function.prototype). NOTE: If this file is to be loaded\n * during bootstrapping this function needs to be rewritten using some native\n * functions as prototype setup using normal JavaScript does not work as\n * expected during bootstrapping (see mirror.js in r114903).\n *\n * @param {function} ctor Constructor function which needs to inherit the\n *     prototype.\n * @param {function} superCtor Constructor function to inherit prototype from.\n */\nexports.inherits = _dereq_('inherits');\n\nexports._extend = function(origin, add) {\n  // Don't do anything if add isn't an object\n  if (!add || !isObject(add)) return origin;\n\n  var keys = Object.keys(add);\n  var i = keys.length;\n  while (i--) {\n    origin[keys[i]] = add[keys[i]];\n  }\n  return origin;\n};\n\nfunction hasOwnProperty(obj, prop) {\n  return Object.prototype.hasOwnProperty.call(obj, prop);\n}\n\n}).call(this,_dereq_('_process'),typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {})\n},{\"./support/isBuffer\":58,\"_process\":465,\"inherits\":57}],60:[function(_dereq_,module,exports){\nmodule.exports = function _atob(str) {\n  return atob(str)\n}\n\n},{}],61:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = barycentric\n\nvar solve = _dereq_('robust-linear-solve')\n\nfunction reduce(x) {\n  var r = 0\n  for(var i=0; i<x.length; ++i) {\n    r += x[i]\n  }\n  return r\n}\n\nfunction barycentric(simplex, point) {\n  var d = point.length\n  var A = new Array(d+1)\n  for(var i=0; i<d; ++i) {\n    var row = new Array(d+1)\n    for(var j=0; j<=d; ++j) {\n      row[j] = simplex[j][i]\n    }\n    A[i] = row\n  }\n  A[d] = new Array(d+1)\n  for(var i=0; i<=d; ++i) {\n    A[d][i] = 1\n  }\n\n  var b = new Array(d+1)\n  for(var i=0; i<d; ++i) {\n    b[i] = point[i]\n  }\n  b[d] = 1.0\n\n  var x = solve(A, b)\n  var w = reduce(x[d+1])\n  \n  if(w === 0) {\n    w = 1.0\n  }\n  var y = new Array(d+1)\n  for(var i=0; i<=d; ++i) {\n    y[i] = reduce(x[i]) / w\n  }\n  return y\n}\n},{\"robust-linear-solve\":485}],62:[function(_dereq_,module,exports){\n'use strict'\n\nexports.byteLength = byteLength\nexports.toByteArray = toByteArray\nexports.fromByteArray = fromByteArray\n\nvar lookup = []\nvar revLookup = []\nvar Arr = typeof Uint8Array !== 'undefined' ? Uint8Array : Array\n\nvar code = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'\nfor (var i = 0, len = code.length; i < len; ++i) {\n  lookup[i] = code[i]\n  revLookup[code.charCodeAt(i)] = i\n}\n\n// Support decoding URL-safe base64 strings, as Node.js does.\n// See: https://en.wikipedia.org/wiki/Base64#URL_applications\nrevLookup['-'.charCodeAt(0)] = 62\nrevLookup['_'.charCodeAt(0)] = 63\n\nfunction getLens (b64) {\n  var len = b64.length\n\n  if (len % 4 > 0) {\n    throw new Error('Invalid string. Length must be a multiple of 4')\n  }\n\n  // Trim off extra bytes after placeholder bytes are found\n  // See: https://github.com/beatgammit/base64-js/issues/42\n  var validLen = b64.indexOf('=')\n  if (validLen === -1) validLen = len\n\n  var placeHoldersLen = validLen === len\n    ? 0\n    : 4 - (validLen % 4)\n\n  return [validLen, placeHoldersLen]\n}\n\n// base64 is 4/3 + up to two characters of the original data\nfunction byteLength (b64) {\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction _byteLength (b64, validLen, placeHoldersLen) {\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction toByteArray (b64) {\n  var tmp\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n\n  var arr = new Arr(_byteLength(b64, validLen, placeHoldersLen))\n\n  var curByte = 0\n\n  // if there are placeholders, only get up to the last complete 4 chars\n  var len = placeHoldersLen > 0\n    ? validLen - 4\n    : validLen\n\n  for (var i = 0; i < len; i += 4) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 18) |\n      (revLookup[b64.charCodeAt(i + 1)] << 12) |\n      (revLookup[b64.charCodeAt(i + 2)] << 6) |\n      revLookup[b64.charCodeAt(i + 3)]\n    arr[curByte++] = (tmp >> 16) & 0xFF\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 2) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 2) |\n      (revLookup[b64.charCodeAt(i + 1)] >> 4)\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 1) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 10) |\n      (revLookup[b64.charCodeAt(i + 1)] << 4) |\n      (revLookup[b64.charCodeAt(i + 2)] >> 2)\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  return arr\n}\n\nfunction tripletToBase64 (num) {\n  return lookup[num >> 18 & 0x3F] +\n    lookup[num >> 12 & 0x3F] +\n    lookup[num >> 6 & 0x3F] +\n    lookup[num & 0x3F]\n}\n\nfunction encodeChunk (uint8, start, end) {\n  var tmp\n  var output = []\n  for (var i = start; i < end; i += 3) {\n    tmp =\n      ((uint8[i] << 16) & 0xFF0000) +\n      ((uint8[i + 1] << 8) & 0xFF00) +\n      (uint8[i + 2] & 0xFF)\n    output.push(tripletToBase64(tmp))\n  }\n  return output.join('')\n}\n\nfunction fromByteArray (uint8) {\n  var tmp\n  var len = uint8.length\n  var extraBytes = len % 3 // if we have 1 byte left, pad 2 bytes\n  var parts = []\n  var maxChunkLength = 16383 // must be multiple of 3\n\n  // go through the array every three bytes, we'll deal with trailing stuff later\n  for (var i = 0, len2 = len - extraBytes; i < len2; i += maxChunkLength) {\n    parts.push(encodeChunk(\n      uint8, i, (i + maxChunkLength) > len2 ? len2 : (i + maxChunkLength)\n    ))\n  }\n\n  // pad the end with zeros, but make sure to not forget the extra bytes\n  if (extraBytes === 1) {\n    tmp = uint8[len - 1]\n    parts.push(\n      lookup[tmp >> 2] +\n      lookup[(tmp << 4) & 0x3F] +\n      '=='\n    )\n  } else if (extraBytes === 2) {\n    tmp = (uint8[len - 2] << 8) + uint8[len - 1]\n    parts.push(\n      lookup[tmp >> 10] +\n      lookup[(tmp >> 4) & 0x3F] +\n      lookup[(tmp << 2) & 0x3F] +\n      '='\n    )\n  }\n\n  return parts.join('')\n}\n\n},{}],63:[function(_dereq_,module,exports){\n'use strict'\n\nvar rationalize = _dereq_('./lib/rationalize')\n\nmodule.exports = add\n\nfunction add(a, b) {\n  return rationalize(\n    a[0].mul(b[1]).add(b[0].mul(a[1])),\n    a[1].mul(b[1]))\n}\n\n},{\"./lib/rationalize\":73}],64:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = cmp\n\nfunction cmp(a, b) {\n    return a[0].mul(b[1]).cmp(b[0].mul(a[1]))\n}\n\n},{}],65:[function(_dereq_,module,exports){\n'use strict'\n\nvar rationalize = _dereq_('./lib/rationalize')\n\nmodule.exports = div\n\nfunction div(a, b) {\n  return rationalize(a[0].mul(b[1]), a[1].mul(b[0]))\n}\n\n},{\"./lib/rationalize\":73}],66:[function(_dereq_,module,exports){\n'use strict'\n\nvar isRat = _dereq_('./is-rat')\nvar isBN = _dereq_('./lib/is-bn')\nvar num2bn = _dereq_('./lib/num-to-bn')\nvar str2bn = _dereq_('./lib/str-to-bn')\nvar rationalize = _dereq_('./lib/rationalize')\nvar div = _dereq_('./div')\n\nmodule.exports = makeRational\n\nfunction makeRational(numer, denom) {\n  if(isRat(numer)) {\n    if(denom) {\n      return div(numer, makeRational(denom))\n    }\n    return [numer[0].clone(), numer[1].clone()]\n  }\n  var shift = 0\n  var a, b\n  if(isBN(numer)) {\n    a = numer.clone()\n  } else if(typeof numer === 'string') {\n    a = str2bn(numer)\n  } else if(numer === 0) {\n    return [num2bn(0), num2bn(1)]\n  } else if(numer === Math.floor(numer)) {\n    a = num2bn(numer)\n  } else {\n    while(numer !== Math.floor(numer)) {\n      numer = numer * Math.pow(2, 256)\n      shift -= 256\n    }\n    a = num2bn(numer)\n  }\n  if(isRat(denom)) {\n    a.mul(denom[1])\n    b = denom[0].clone()\n  } else if(isBN(denom)) {\n    b = denom.clone()\n  } else if(typeof denom === 'string') {\n    b = str2bn(denom)\n  } else if(!denom) {\n    b = num2bn(1)\n  } else if(denom === Math.floor(denom)) {\n    b = num2bn(denom)\n  } else {\n    while(denom !== Math.floor(denom)) {\n      denom = denom * Math.pow(2, 256)\n      shift += 256\n    }\n    b = num2bn(denom)\n  }\n  if(shift > 0) {\n    a = a.ushln(shift)\n  } else if(shift < 0) {\n    b = b.ushln(-shift)\n  }\n  return rationalize(a, b)\n}\n\n},{\"./div\":65,\"./is-rat\":67,\"./lib/is-bn\":71,\"./lib/num-to-bn\":72,\"./lib/rationalize\":73,\"./lib/str-to-bn\":74}],67:[function(_dereq_,module,exports){\n'use strict'\n\nvar isBN = _dereq_('./lib/is-bn')\n\nmodule.exports = isRat\n\nfunction isRat(x) {\n  return Array.isArray(x) && x.length === 2 && isBN(x[0]) && isBN(x[1])\n}\n\n},{\"./lib/is-bn\":71}],68:[function(_dereq_,module,exports){\n'use strict'\n\nvar BN = _dereq_('bn.js')\n\nmodule.exports = sign\n\nfunction sign (x) {\n  return x.cmp(new BN(0))\n}\n\n},{\"bn.js\":82}],69:[function(_dereq_,module,exports){\n'use strict'\n\nvar sign = _dereq_('./bn-sign')\n\nmodule.exports = bn2num\n\n//TODO: Make this better\nfunction bn2num(b) {\n  var l = b.length\n  var words = b.words\n  var out = 0\n  if (l === 1) {\n    out = words[0]\n  } else if (l === 2) {\n    out = words[0] + (words[1] * 0x4000000)\n  } else {\n    for (var i = 0; i < l; i++) {\n      var w = words[i]\n      out += w * Math.pow(0x4000000, i)\n    }\n  }\n  return sign(b) * out\n}\n\n},{\"./bn-sign\":68}],70:[function(_dereq_,module,exports){\n'use strict'\n\nvar db = _dereq_('double-bits')\nvar ctz = _dereq_('bit-twiddle').countTrailingZeros\n\nmodule.exports = ctzNumber\n\n//Counts the number of trailing zeros\nfunction ctzNumber(x) {\n  var l = ctz(db.lo(x))\n  if(l < 32) {\n    return l\n  }\n  var h = ctz(db.hi(x))\n  if(h > 20) {\n    return 52\n  }\n  return h + 32\n}\n\n},{\"bit-twiddle\":80,\"double-bits\":152}],71:[function(_dereq_,module,exports){\n'use strict'\n\nvar BN = _dereq_('bn.js')\n\nmodule.exports = isBN\n\n//Test if x is a bignumber\n//FIXME: obviously this is the wrong way to do it\nfunction isBN(x) {\n  return x && typeof x === 'object' && Boolean(x.words)\n}\n\n},{\"bn.js\":82}],72:[function(_dereq_,module,exports){\n'use strict'\n\nvar BN = _dereq_('bn.js')\nvar db = _dereq_('double-bits')\n\nmodule.exports = num2bn\n\nfunction num2bn(x) {\n  var e = db.exponent(x)\n  if(e < 52) {\n    return new BN(x)\n  } else {\n    return (new BN(x * Math.pow(2, 52-e))).ushln(e-52)\n  }\n}\n\n},{\"bn.js\":82,\"double-bits\":152}],73:[function(_dereq_,module,exports){\n'use strict'\n\nvar num2bn = _dereq_('./num-to-bn')\nvar sign = _dereq_('./bn-sign')\n\nmodule.exports = rationalize\n\nfunction rationalize(numer, denom) {\n  var snumer = sign(numer)\n  var sdenom = sign(denom)\n  if(snumer === 0) {\n    return [num2bn(0), num2bn(1)]\n  }\n  if(sdenom === 0) {\n    return [num2bn(0), num2bn(0)]\n  }\n  if(sdenom < 0) {\n    numer = numer.neg()\n    denom = denom.neg()\n  }\n  var d = numer.gcd(denom)\n  if(d.cmpn(1)) {\n    return [ numer.div(d), denom.div(d) ]\n  }\n  return [ numer, denom ]\n}\n\n},{\"./bn-sign\":68,\"./num-to-bn\":72}],74:[function(_dereq_,module,exports){\n'use strict'\n\nvar BN = _dereq_('bn.js')\n\nmodule.exports = str2BN\n\nfunction str2BN(x) {\n  return new BN(x)\n}\n\n},{\"bn.js\":82}],75:[function(_dereq_,module,exports){\n'use strict'\n\nvar rationalize = _dereq_('./lib/rationalize')\n\nmodule.exports = mul\n\nfunction mul(a, b) {\n  return rationalize(a[0].mul(b[0]), a[1].mul(b[1]))\n}\n\n},{\"./lib/rationalize\":73}],76:[function(_dereq_,module,exports){\n'use strict'\n\nvar bnsign = _dereq_('./lib/bn-sign')\n\nmodule.exports = sign\n\nfunction sign(x) {\n  return bnsign(x[0]) * bnsign(x[1])\n}\n\n},{\"./lib/bn-sign\":68}],77:[function(_dereq_,module,exports){\n'use strict'\n\nvar rationalize = _dereq_('./lib/rationalize')\n\nmodule.exports = sub\n\nfunction sub(a, b) {\n  return rationalize(a[0].mul(b[1]).sub(a[1].mul(b[0])), a[1].mul(b[1]))\n}\n\n},{\"./lib/rationalize\":73}],78:[function(_dereq_,module,exports){\n'use strict'\n\nvar bn2num = _dereq_('./lib/bn-to-num')\nvar ctz = _dereq_('./lib/ctz')\n\nmodule.exports = roundRat\n\n// Round a rational to the closest float\nfunction roundRat (f) {\n  var a = f[0]\n  var b = f[1]\n  if (a.cmpn(0) === 0) {\n    return 0\n  }\n  var h = a.abs().divmod(b.abs())\n  var iv = h.div\n  var x = bn2num(iv)\n  var ir = h.mod\n  var sgn = (a.negative !== b.negative) ? -1 : 1\n  if (ir.cmpn(0) === 0) {\n    return sgn * x\n  }\n  if (x) {\n    var s = ctz(x) + 4\n    var y = bn2num(ir.ushln(s).divRound(b))\n    return sgn * (x + y * Math.pow(2, -s))\n  } else {\n    var ybits = b.bitLength() - ir.bitLength() + 53\n    var y = bn2num(ir.ushln(ybits).divRound(b))\n    if (ybits < 1023) {\n      return sgn * y * Math.pow(2, -ybits)\n    }\n    y *= Math.pow(2, -1023)\n    return sgn * y * Math.pow(2, 1023 - ybits)\n  }\n}\n\n},{\"./lib/bn-to-num\":69,\"./lib/ctz\":70}],79:[function(_dereq_,module,exports){\n\"use strict\"\n\nfunction compileSearch(funcName, predicate, reversed, extraArgs, useNdarray, earlyOut) {\n  var code = [\n    \"function \", funcName, \"(a,l,h,\", extraArgs.join(\",\"),  \"){\",\nearlyOut ? \"\" : \"var i=\", (reversed ? \"l-1\" : \"h+1\"),\n\";while(l<=h){\\\nvar m=(l+h)>>>1,x=a\", useNdarray ? \".get(m)\" : \"[m]\"]\n  if(earlyOut) {\n    if(predicate.indexOf(\"c\") < 0) {\n      code.push(\";if(x===y){return m}else if(x<=y){\")\n    } else {\n      code.push(\";var p=c(x,y);if(p===0){return m}else if(p<=0){\")\n    }\n  } else {\n    code.push(\";if(\", predicate, \"){i=m;\")\n  }\n  if(reversed) {\n    code.push(\"l=m+1}else{h=m-1}\")\n  } else {\n    code.push(\"h=m-1}else{l=m+1}\")\n  }\n  code.push(\"}\")\n  if(earlyOut) {\n    code.push(\"return -1};\")\n  } else {\n    code.push(\"return i};\")\n  }\n  return code.join(\"\")\n}\n\nfunction compileBoundsSearch(predicate, reversed, suffix, earlyOut) {\n  var result = new Function([\n  compileSearch(\"A\", \"x\" + predicate + \"y\", reversed, [\"y\"], false, earlyOut),\n  compileSearch(\"B\", \"x\" + predicate + \"y\", reversed, [\"y\"], true, earlyOut),\n  compileSearch(\"P\", \"c(x,y)\" + predicate + \"0\", reversed, [\"y\", \"c\"], false, earlyOut),\n  compileSearch(\"Q\", \"c(x,y)\" + predicate + \"0\", reversed, [\"y\", \"c\"], true, earlyOut),\n\"function dispatchBsearch\", suffix, \"(a,y,c,l,h){\\\nif(a.shape){\\\nif(typeof(c)==='function'){\\\nreturn Q(a,(l===undefined)?0:l|0,(h===undefined)?a.shape[0]-1:h|0,y,c)\\\n}else{\\\nreturn B(a,(c===undefined)?0:c|0,(l===undefined)?a.shape[0]-1:l|0,y)\\\n}}else{\\\nif(typeof(c)==='function'){\\\nreturn P(a,(l===undefined)?0:l|0,(h===undefined)?a.length-1:h|0,y,c)\\\n}else{\\\nreturn A(a,(c===undefined)?0:c|0,(l===undefined)?a.length-1:l|0,y)\\\n}}}\\\nreturn dispatchBsearch\", suffix].join(\"\"))\n  return result()\n}\n\nmodule.exports = {\n  ge: compileBoundsSearch(\">=\", false, \"GE\"),\n  gt: compileBoundsSearch(\">\", false, \"GT\"),\n  lt: compileBoundsSearch(\"<\", true, \"LT\"),\n  le: compileBoundsSearch(\"<=\", true, \"LE\"),\n  eq: compileBoundsSearch(\"-\", true, \"EQ\", true)\n}\n\n},{}],80:[function(_dereq_,module,exports){\n/**\n * Bit twiddling hacks for JavaScript.\n *\n * Author: Mikola Lysenko\n *\n * Ported from Stanford bit twiddling hack library:\n *    http://graphics.stanford.edu/~seander/bithacks.html\n */\n\n\"use strict\"; \"use restrict\";\n\n//Number of bits in an integer\nvar INT_BITS = 32;\n\n//Constants\nexports.INT_BITS  = INT_BITS;\nexports.INT_MAX   =  0x7fffffff;\nexports.INT_MIN   = -1<<(INT_BITS-1);\n\n//Returns -1, 0, +1 depending on sign of x\nexports.sign = function(v) {\n  return (v > 0) - (v < 0);\n}\n\n//Computes absolute value of integer\nexports.abs = function(v) {\n  var mask = v >> (INT_BITS-1);\n  return (v ^ mask) - mask;\n}\n\n//Computes minimum of integers x and y\nexports.min = function(x, y) {\n  return y ^ ((x ^ y) & -(x < y));\n}\n\n//Computes maximum of integers x and y\nexports.max = function(x, y) {\n  return x ^ ((x ^ y) & -(x < y));\n}\n\n//Checks if a number is a power of two\nexports.isPow2 = function(v) {\n  return !(v & (v-1)) && (!!v);\n}\n\n//Computes log base 2 of v\nexports.log2 = function(v) {\n  var r, shift;\n  r =     (v > 0xFFFF) << 4; v >>>= r;\n  shift = (v > 0xFF  ) << 3; v >>>= shift; r |= shift;\n  shift = (v > 0xF   ) << 2; v >>>= shift; r |= shift;\n  shift = (v > 0x3   ) << 1; v >>>= shift; r |= shift;\n  return r | (v >> 1);\n}\n\n//Computes log base 10 of v\nexports.log10 = function(v) {\n  return  (v >= 1000000000) ? 9 : (v >= 100000000) ? 8 : (v >= 10000000) ? 7 :\n          (v >= 1000000) ? 6 : (v >= 100000) ? 5 : (v >= 10000) ? 4 :\n          (v >= 1000) ? 3 : (v >= 100) ? 2 : (v >= 10) ? 1 : 0;\n}\n\n//Counts number of bits\nexports.popCount = function(v) {\n  v = v - ((v >>> 1) & 0x55555555);\n  v = (v & 0x33333333) + ((v >>> 2) & 0x33333333);\n  return ((v + (v >>> 4) & 0xF0F0F0F) * 0x1010101) >>> 24;\n}\n\n//Counts number of trailing zeros\nfunction countTrailingZeros(v) {\n  var c = 32;\n  v &= -v;\n  if (v) c--;\n  if (v & 0x0000FFFF) c -= 16;\n  if (v & 0x00FF00FF) c -= 8;\n  if (v & 0x0F0F0F0F) c -= 4;\n  if (v & 0x33333333) c -= 2;\n  if (v & 0x55555555) c -= 1;\n  return c;\n}\nexports.countTrailingZeros = countTrailingZeros;\n\n//Rounds to next power of 2\nexports.nextPow2 = function(v) {\n  v += v === 0;\n  --v;\n  v |= v >>> 1;\n  v |= v >>> 2;\n  v |= v >>> 4;\n  v |= v >>> 8;\n  v |= v >>> 16;\n  return v + 1;\n}\n\n//Rounds down to previous power of 2\nexports.prevPow2 = function(v) {\n  v |= v >>> 1;\n  v |= v >>> 2;\n  v |= v >>> 4;\n  v |= v >>> 8;\n  v |= v >>> 16;\n  return v - (v>>>1);\n}\n\n//Computes parity of word\nexports.parity = function(v) {\n  v ^= v >>> 16;\n  v ^= v >>> 8;\n  v ^= v >>> 4;\n  v &= 0xf;\n  return (0x6996 >>> v) & 1;\n}\n\nvar REVERSE_TABLE = new Array(256);\n\n(function(tab) {\n  for(var i=0; i<256; ++i) {\n    var v = i, r = i, s = 7;\n    for (v >>>= 1; v; v >>>= 1) {\n      r <<= 1;\n      r |= v & 1;\n      --s;\n    }\n    tab[i] = (r << s) & 0xff;\n  }\n})(REVERSE_TABLE);\n\n//Reverse bits in a 32 bit word\nexports.reverse = function(v) {\n  return  (REVERSE_TABLE[ v         & 0xff] << 24) |\n          (REVERSE_TABLE[(v >>> 8)  & 0xff] << 16) |\n          (REVERSE_TABLE[(v >>> 16) & 0xff] << 8)  |\n           REVERSE_TABLE[(v >>> 24) & 0xff];\n}\n\n//Interleave bits of 2 coordinates with 16 bits.  Useful for fast quadtree codes\nexports.interleave2 = function(x, y) {\n  x &= 0xFFFF;\n  x = (x | (x << 8)) & 0x00FF00FF;\n  x = (x | (x << 4)) & 0x0F0F0F0F;\n  x = (x | (x << 2)) & 0x33333333;\n  x = (x | (x << 1)) & 0x55555555;\n\n  y &= 0xFFFF;\n  y = (y | (y << 8)) & 0x00FF00FF;\n  y = (y | (y << 4)) & 0x0F0F0F0F;\n  y = (y | (y << 2)) & 0x33333333;\n  y = (y | (y << 1)) & 0x55555555;\n\n  return x | (y << 1);\n}\n\n//Extracts the nth interleaved component\nexports.deinterleave2 = function(v, n) {\n  v = (v >>> n) & 0x55555555;\n  v = (v | (v >>> 1))  & 0x33333333;\n  v = (v | (v >>> 2))  & 0x0F0F0F0F;\n  v = (v | (v >>> 4))  & 0x00FF00FF;\n  v = (v | (v >>> 16)) & 0x000FFFF;\n  return (v << 16) >> 16;\n}\n\n\n//Interleave bits of 3 coordinates, each with 10 bits.  Useful for fast octree codes\nexports.interleave3 = function(x, y, z) {\n  x &= 0x3FF;\n  x  = (x | (x<<16)) & 4278190335;\n  x  = (x | (x<<8))  & 251719695;\n  x  = (x | (x<<4))  & 3272356035;\n  x  = (x | (x<<2))  & 1227133513;\n\n  y &= 0x3FF;\n  y  = (y | (y<<16)) & 4278190335;\n  y  = (y | (y<<8))  & 251719695;\n  y  = (y | (y<<4))  & 3272356035;\n  y  = (y | (y<<2))  & 1227133513;\n  x |= (y << 1);\n  \n  z &= 0x3FF;\n  z  = (z | (z<<16)) & 4278190335;\n  z  = (z | (z<<8))  & 251719695;\n  z  = (z | (z<<4))  & 3272356035;\n  z  = (z | (z<<2))  & 1227133513;\n  \n  return x | (z << 2);\n}\n\n//Extracts nth interleaved component of a 3-tuple\nexports.deinterleave3 = function(v, n) {\n  v = (v >>> n)       & 1227133513;\n  v = (v | (v>>>2))   & 3272356035;\n  v = (v | (v>>>4))   & 251719695;\n  v = (v | (v>>>8))   & 4278190335;\n  v = (v | (v>>>16))  & 0x3FF;\n  return (v<<22)>>22;\n}\n\n//Computes next combination in colexicographic order (this is mistakenly called nextPermutation on the bit twiddling hacks page)\nexports.nextCombination = function(v) {\n  var t = v | (v - 1);\n  return (t + 1) | (((~t & -~t) - 1) >>> (countTrailingZeros(v) + 1));\n}\n\n\n},{}],81:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar clamp = _dereq_('clamp')\r\n\r\nmodule.exports = calcSDF\r\n\r\nvar INF = 1e20;\r\n\r\nfunction calcSDF(src, options) {\r\n    if (!options) options = {}\r\n\r\n    var cutoff = options.cutoff == null ? 0.25 : options.cutoff\r\n    var radius = options.radius == null ? 8 : options.radius\r\n    var channel = options.channel || 0\r\n    var w, h, size, data, intData, stride, ctx, canvas, imgData, i, l\r\n\r\n    // handle image container\r\n    if (ArrayBuffer.isView(src) || Array.isArray(src)) {\r\n        if (!options.width || !options.height) throw Error('For raw data width and height should be provided by options')\r\n        w = options.width, h = options.height\r\n        data = src\r\n\r\n        if (!options.stride) stride = Math.floor(src.length / w / h)\r\n        else stride = options.stride\r\n    }\r\n    else {\r\n        if (window.HTMLCanvasElement && src instanceof window.HTMLCanvasElement) {\r\n            canvas = src\r\n            ctx = canvas.getContext('2d')\r\n            w = canvas.width, h = canvas.height\r\n            imgData = ctx.getImageData(0, 0, w, h)\r\n            data = imgData.data\r\n            stride = 4\r\n        }\r\n        else if (window.CanvasRenderingContext2D && src instanceof window.CanvasRenderingContext2D) {\r\n            canvas = src.canvas\r\n            ctx = src\r\n            w = canvas.width, h = canvas.height\r\n            imgData = ctx.getImageData(0, 0, w, h)\r\n            data = imgData.data\r\n            stride = 4\r\n        }\r\n        else if (window.ImageData && src instanceof window.ImageData) {\r\n            imgData = src\r\n            w = src.width, h = src.height\r\n            data = imgData.data\r\n            stride = 4\r\n        }\r\n    }\r\n\r\n    size = Math.max(w, h)\r\n\r\n    //convert int data to floats\r\n    if ((window.Uint8ClampedArray && data instanceof window.Uint8ClampedArray) || (window.Uint8Array && data instanceof window.Uint8Array)) {\r\n        intData = data\r\n        data = Array(w*h)\r\n\r\n        for (i = 0, l = intData.length; i < l; i++) {\r\n            data[i] = intData[i*stride + channel] / 255\r\n        }\r\n    }\r\n    else {\r\n        if (stride !== 1) throw Error('Raw data can have only 1 value per pixel')\r\n    }\r\n\r\n    // temporary arrays for the distance transform\r\n    var gridOuter = Array(w * h)\r\n    var gridInner = Array(w * h)\r\n    var f = Array(size)\r\n    var d = Array(size)\r\n    var z = Array(size + 1)\r\n    var v = Array(size)\r\n\r\n    for (i = 0, l = w * h; i < l; i++) {\r\n        var a = data[i]\r\n        gridOuter[i] = a === 1 ? 0 : a === 0 ? INF : Math.pow(Math.max(0, 0.5 - a), 2)\r\n        gridInner[i] = a === 1 ? INF : a === 0 ? 0 : Math.pow(Math.max(0, a - 0.5), 2)\r\n    }\r\n\r\n    edt(gridOuter, w, h, f, d, v, z)\r\n    edt(gridInner, w, h, f, d, v, z)\r\n\r\n    var dist = window.Float32Array ? new Float32Array(w * h) : new Array(w * h)\r\n\r\n    for (i = 0, l = w*h; i < l; i++) {\r\n        dist[i] = clamp(1 - ( (gridOuter[i] - gridInner[i]) / radius + cutoff), 0, 1)\r\n    }\r\n\r\n    return dist\r\n}\r\n\r\n// 2D Euclidean distance transform by Felzenszwalb & Huttenlocher https://cs.brown.edu/~pff/dt/\r\nfunction edt(data, width, height, f, d, v, z) {\r\n    for (var x = 0; x < width; x++) {\r\n        for (var y = 0; y < height; y++) {\r\n            f[y] = data[y * width + x]\r\n        }\r\n        edt1d(f, d, v, z, height)\r\n        for (y = 0; y < height; y++) {\r\n            data[y * width + x] = d[y]\r\n        }\r\n    }\r\n    for (y = 0; y < height; y++) {\r\n        for (x = 0; x < width; x++) {\r\n            f[x] = data[y * width + x]\r\n        }\r\n        edt1d(f, d, v, z, width)\r\n        for (x = 0; x < width; x++) {\r\n            data[y * width + x] = Math.sqrt(d[x])\r\n        }\r\n    }\r\n}\r\n\r\n// 1D squared distance transform\r\nfunction edt1d(f, d, v, z, n) {\r\n    v[0] = 0;\r\n    z[0] = -INF\r\n    z[1] = +INF\r\n\r\n    for (var q = 1, k = 0; q < n; q++) {\r\n        var s = ((f[q] + q * q) - (f[v[k]] + v[k] * v[k])) / (2 * q - 2 * v[k])\r\n        while (s <= z[k]) {\r\n            k--\r\n            s = ((f[q] + q * q) - (f[v[k]] + v[k] * v[k])) / (2 * q - 2 * v[k])\r\n        }\r\n        k++\r\n        v[k] = q\r\n        z[k] = s\r\n        z[k + 1] = +INF\r\n    }\r\n\r\n    for (q = 0, k = 0; q < n; q++) {\r\n        while (z[k + 1] < q) k++\r\n        d[q] = (q - v[k]) * (q - v[k]) + f[v[k]]\r\n    }\r\n}\r\n\n},{\"clamp\":103}],82:[function(_dereq_,module,exports){\n(function (module, exports) {\n  'use strict';\n\n  // Utils\n  function assert (val, msg) {\n    if (!val) throw new Error(msg || 'Assertion failed');\n  }\n\n  // Could use `inherits` module, but don't want to move from single file\n  // architecture yet.\n  function inherits (ctor, superCtor) {\n    ctor.super_ = superCtor;\n    var TempCtor = function () {};\n    TempCtor.prototype = superCtor.prototype;\n    ctor.prototype = new TempCtor();\n    ctor.prototype.constructor = ctor;\n  }\n\n  // BN\n\n  function BN (number, base, endian) {\n    if (BN.isBN(number)) {\n      return number;\n    }\n\n    this.negative = 0;\n    this.words = null;\n    this.length = 0;\n\n    // Reduction context\n    this.red = null;\n\n    if (number !== null) {\n      if (base === 'le' || base === 'be') {\n        endian = base;\n        base = 10;\n      }\n\n      this._init(number || 0, base || 10, endian || 'be');\n    }\n  }\n  if (typeof module === 'object') {\n    module.exports = BN;\n  } else {\n    exports.BN = BN;\n  }\n\n  BN.BN = BN;\n  BN.wordSize = 26;\n\n  var Buffer;\n  try {\n    Buffer = _dereq_('buffer').Buffer;\n  } catch (e) {\n  }\n\n  BN.isBN = function isBN (num) {\n    if (num instanceof BN) {\n      return true;\n    }\n\n    return num !== null && typeof num === 'object' &&\n      num.constructor.wordSize === BN.wordSize && Array.isArray(num.words);\n  };\n\n  BN.max = function max (left, right) {\n    if (left.cmp(right) > 0) return left;\n    return right;\n  };\n\n  BN.min = function min (left, right) {\n    if (left.cmp(right) < 0) return left;\n    return right;\n  };\n\n  BN.prototype._init = function init (number, base, endian) {\n    if (typeof number === 'number') {\n      return this._initNumber(number, base, endian);\n    }\n\n    if (typeof number === 'object') {\n      return this._initArray(number, base, endian);\n    }\n\n    if (base === 'hex') {\n      base = 16;\n    }\n    assert(base === (base | 0) && base >= 2 && base <= 36);\n\n    number = number.toString().replace(/\\s+/g, '');\n    var start = 0;\n    if (number[0] === '-') {\n      start++;\n    }\n\n    if (base === 16) {\n      this._parseHex(number, start);\n    } else {\n      this._parseBase(number, base, start);\n    }\n\n    if (number[0] === '-') {\n      this.negative = 1;\n    }\n\n    this.strip();\n\n    if (endian !== 'le') return;\n\n    this._initArray(this.toArray(), base, endian);\n  };\n\n  BN.prototype._initNumber = function _initNumber (number, base, endian) {\n    if (number < 0) {\n      this.negative = 1;\n      number = -number;\n    }\n    if (number < 0x4000000) {\n      this.words = [ number & 0x3ffffff ];\n      this.length = 1;\n    } else if (number < 0x10000000000000) {\n      this.words = [\n        number & 0x3ffffff,\n        (number / 0x4000000) & 0x3ffffff\n      ];\n      this.length = 2;\n    } else {\n      assert(number < 0x20000000000000); // 2 ^ 53 (unsafe)\n      this.words = [\n        number & 0x3ffffff,\n        (number / 0x4000000) & 0x3ffffff,\n        1\n      ];\n      this.length = 3;\n    }\n\n    if (endian !== 'le') return;\n\n    // Reverse the bytes\n    this._initArray(this.toArray(), base, endian);\n  };\n\n  BN.prototype._initArray = function _initArray (number, base, endian) {\n    // Perhaps a Uint8Array\n    assert(typeof number.length === 'number');\n    if (number.length <= 0) {\n      this.words = [ 0 ];\n      this.length = 1;\n      return this;\n    }\n\n    this.length = Math.ceil(number.length / 3);\n    this.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      this.words[i] = 0;\n    }\n\n    var j, w;\n    var off = 0;\n    if (endian === 'be') {\n      for (i = number.length - 1, j = 0; i >= 0; i -= 3) {\n        w = number[i] | (number[i - 1] << 8) | (number[i - 2] << 16);\n        this.words[j] |= (w << off) & 0x3ffffff;\n        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;\n        off += 24;\n        if (off >= 26) {\n          off -= 26;\n          j++;\n        }\n      }\n    } else if (endian === 'le') {\n      for (i = 0, j = 0; i < number.length; i += 3) {\n        w = number[i] | (number[i + 1] << 8) | (number[i + 2] << 16);\n        this.words[j] |= (w << off) & 0x3ffffff;\n        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;\n        off += 24;\n        if (off >= 26) {\n          off -= 26;\n          j++;\n        }\n      }\n    }\n    return this.strip();\n  };\n\n  function parseHex (str, start, end) {\n    var r = 0;\n    var len = Math.min(str.length, end);\n    for (var i = start; i < len; i++) {\n      var c = str.charCodeAt(i) - 48;\n\n      r <<= 4;\n\n      // 'a' - 'f'\n      if (c >= 49 && c <= 54) {\n        r |= c - 49 + 0xa;\n\n      // 'A' - 'F'\n      } else if (c >= 17 && c <= 22) {\n        r |= c - 17 + 0xa;\n\n      // '0' - '9'\n      } else {\n        r |= c & 0xf;\n      }\n    }\n    return r;\n  }\n\n  BN.prototype._parseHex = function _parseHex (number, start) {\n    // Create possibly bigger array to ensure that it fits the number\n    this.length = Math.ceil((number.length - start) / 6);\n    this.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      this.words[i] = 0;\n    }\n\n    var j, w;\n    // Scan 24-bit chunks and add them to the number\n    var off = 0;\n    for (i = number.length - 6, j = 0; i >= start; i -= 6) {\n      w = parseHex(number, i, i + 6);\n      this.words[j] |= (w << off) & 0x3ffffff;\n      // NOTE: `0x3fffff` is intentional here, 26bits max shift + 24bit hex limb\n      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;\n      off += 24;\n      if (off >= 26) {\n        off -= 26;\n        j++;\n      }\n    }\n    if (i + 6 !== start) {\n      w = parseHex(number, start, i + 6);\n      this.words[j] |= (w << off) & 0x3ffffff;\n      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;\n    }\n    this.strip();\n  };\n\n  function parseBase (str, start, end, mul) {\n    var r = 0;\n    var len = Math.min(str.length, end);\n    for (var i = start; i < len; i++) {\n      var c = str.charCodeAt(i) - 48;\n\n      r *= mul;\n\n      // 'a'\n      if (c >= 49) {\n        r += c - 49 + 0xa;\n\n      // 'A'\n      } else if (c >= 17) {\n        r += c - 17 + 0xa;\n\n      // '0' - '9'\n      } else {\n        r += c;\n      }\n    }\n    return r;\n  }\n\n  BN.prototype._parseBase = function _parseBase (number, base, start) {\n    // Initialize as zero\n    this.words = [ 0 ];\n    this.length = 1;\n\n    // Find length of limb in base\n    for (var limbLen = 0, limbPow = 1; limbPow <= 0x3ffffff; limbPow *= base) {\n      limbLen++;\n    }\n    limbLen--;\n    limbPow = (limbPow / base) | 0;\n\n    var total = number.length - start;\n    var mod = total % limbLen;\n    var end = Math.min(total, total - mod) + start;\n\n    var word = 0;\n    for (var i = start; i < end; i += limbLen) {\n      word = parseBase(number, i, i + limbLen, base);\n\n      this.imuln(limbPow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n\n    if (mod !== 0) {\n      var pow = 1;\n      word = parseBase(number, i, number.length, base);\n\n      for (i = 0; i < mod; i++) {\n        pow *= base;\n      }\n\n      this.imuln(pow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n  };\n\n  BN.prototype.copy = function copy (dest) {\n    dest.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      dest.words[i] = this.words[i];\n    }\n    dest.length = this.length;\n    dest.negative = this.negative;\n    dest.red = this.red;\n  };\n\n  BN.prototype.clone = function clone () {\n    var r = new BN(null);\n    this.copy(r);\n    return r;\n  };\n\n  BN.prototype._expand = function _expand (size) {\n    while (this.length < size) {\n      this.words[this.length++] = 0;\n    }\n    return this;\n  };\n\n  // Remove leading `0` from `this`\n  BN.prototype.strip = function strip () {\n    while (this.length > 1 && this.words[this.length - 1] === 0) {\n      this.length--;\n    }\n    return this._normSign();\n  };\n\n  BN.prototype._normSign = function _normSign () {\n    // -0 = 0\n    if (this.length === 1 && this.words[0] === 0) {\n      this.negative = 0;\n    }\n    return this;\n  };\n\n  BN.prototype.inspect = function inspect () {\n    return (this.red ? '<BN-R: ' : '<BN: ') + this.toString(16) + '>';\n  };\n\n  /*\n\n  var zeros = [];\n  var groupSizes = [];\n  var groupBases = [];\n\n  var s = '';\n  var i = -1;\n  while (++i < BN.wordSize) {\n    zeros[i] = s;\n    s += '0';\n  }\n  groupSizes[0] = 0;\n  groupSizes[1] = 0;\n  groupBases[0] = 0;\n  groupBases[1] = 0;\n  var base = 2 - 1;\n  while (++base < 36 + 1) {\n    var groupSize = 0;\n    var groupBase = 1;\n    while (groupBase < (1 << BN.wordSize) / base) {\n      groupBase *= base;\n      groupSize += 1;\n    }\n    groupSizes[base] = groupSize;\n    groupBases[base] = groupBase;\n  }\n\n  */\n\n  var zeros = [\n    '',\n    '0',\n    '00',\n    '000',\n    '0000',\n    '00000',\n    '000000',\n    '0000000',\n    '00000000',\n    '000000000',\n    '0000000000',\n    '00000000000',\n    '000000000000',\n    '0000000000000',\n    '00000000000000',\n    '000000000000000',\n    '0000000000000000',\n    '00000000000000000',\n    '000000000000000000',\n    '0000000000000000000',\n    '00000000000000000000',\n    '000000000000000000000',\n    '0000000000000000000000',\n    '00000000000000000000000',\n    '000000000000000000000000',\n    '0000000000000000000000000'\n  ];\n\n  var groupSizes = [\n    0, 0,\n    25, 16, 12, 11, 10, 9, 8,\n    8, 7, 7, 7, 7, 6, 6,\n    6, 6, 6, 6, 6, 5, 5,\n    5, 5, 5, 5, 5, 5, 5,\n    5, 5, 5, 5, 5, 5, 5\n  ];\n\n  var groupBases = [\n    0, 0,\n    33554432, 43046721, 16777216, 48828125, 60466176, 40353607, 16777216,\n    43046721, 10000000, 19487171, 35831808, 62748517, 7529536, 11390625,\n    16777216, 24137569, 34012224, 47045881, 64000000, 4084101, 5153632,\n    6436343, 7962624, 9765625, 11881376, 14348907, 17210368, 20511149,\n    24300000, 28629151, 33554432, 39135393, 45435424, 52521875, 60466176\n  ];\n\n  BN.prototype.toString = function toString (base, padding) {\n    base = base || 10;\n    padding = padding | 0 || 1;\n\n    var out;\n    if (base === 16 || base === 'hex') {\n      out = '';\n      var off = 0;\n      var carry = 0;\n      for (var i = 0; i < this.length; i++) {\n        var w = this.words[i];\n        var word = (((w << off) | carry) & 0xffffff).toString(16);\n        carry = (w >>> (24 - off)) & 0xffffff;\n        if (carry !== 0 || i !== this.length - 1) {\n          out = zeros[6 - word.length] + word + out;\n        } else {\n          out = word + out;\n        }\n        off += 2;\n        if (off >= 26) {\n          off -= 26;\n          i--;\n        }\n      }\n      if (carry !== 0) {\n        out = carry.toString(16) + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    if (base === (base | 0) && base >= 2 && base <= 36) {\n      // var groupSize = Math.floor(BN.wordSize * Math.LN2 / Math.log(base));\n      var groupSize = groupSizes[base];\n      // var groupBase = Math.pow(base, groupSize);\n      var groupBase = groupBases[base];\n      out = '';\n      var c = this.clone();\n      c.negative = 0;\n      while (!c.isZero()) {\n        var r = c.modn(groupBase).toString(base);\n        c = c.idivn(groupBase);\n\n        if (!c.isZero()) {\n          out = zeros[groupSize - r.length] + r + out;\n        } else {\n          out = r + out;\n        }\n      }\n      if (this.isZero()) {\n        out = '0' + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    assert(false, 'Base should be between 2 and 36');\n  };\n\n  BN.prototype.toNumber = function toNumber () {\n    var ret = this.words[0];\n    if (this.length === 2) {\n      ret += this.words[1] * 0x4000000;\n    } else if (this.length === 3 && this.words[2] === 0x01) {\n      // NOTE: at this stage it is known that the top bit is set\n      ret += 0x10000000000000 + (this.words[1] * 0x4000000);\n    } else if (this.length > 2) {\n      assert(false, 'Number can only safely store up to 53 bits');\n    }\n    return (this.negative !== 0) ? -ret : ret;\n  };\n\n  BN.prototype.toJSON = function toJSON () {\n    return this.toString(16);\n  };\n\n  BN.prototype.toBuffer = function toBuffer (endian, length) {\n    assert(typeof Buffer !== 'undefined');\n    return this.toArrayLike(Buffer, endian, length);\n  };\n\n  BN.prototype.toArray = function toArray (endian, length) {\n    return this.toArrayLike(Array, endian, length);\n  };\n\n  BN.prototype.toArrayLike = function toArrayLike (ArrayType, endian, length) {\n    var byteLength = this.byteLength();\n    var reqLength = length || Math.max(1, byteLength);\n    assert(byteLength <= reqLength, 'byte array longer than desired length');\n    assert(reqLength > 0, 'Requested array length <= 0');\n\n    this.strip();\n    var littleEndian = endian === 'le';\n    var res = new ArrayType(reqLength);\n\n    var b, i;\n    var q = this.clone();\n    if (!littleEndian) {\n      // Assume big-endian\n      for (i = 0; i < reqLength - byteLength; i++) {\n        res[i] = 0;\n      }\n\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[reqLength - i - 1] = b;\n      }\n    } else {\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[i] = b;\n      }\n\n      for (; i < reqLength; i++) {\n        res[i] = 0;\n      }\n    }\n\n    return res;\n  };\n\n  if (Math.clz32) {\n    BN.prototype._countBits = function _countBits (w) {\n      return 32 - Math.clz32(w);\n    };\n  } else {\n    BN.prototype._countBits = function _countBits (w) {\n      var t = w;\n      var r = 0;\n      if (t >= 0x1000) {\n        r += 13;\n        t >>>= 13;\n      }\n      if (t >= 0x40) {\n        r += 7;\n        t >>>= 7;\n      }\n      if (t >= 0x8) {\n        r += 4;\n        t >>>= 4;\n      }\n      if (t >= 0x02) {\n        r += 2;\n        t >>>= 2;\n      }\n      return r + t;\n    };\n  }\n\n  BN.prototype._zeroBits = function _zeroBits (w) {\n    // Short-cut\n    if (w === 0) return 26;\n\n    var t = w;\n    var r = 0;\n    if ((t & 0x1fff) === 0) {\n      r += 13;\n      t >>>= 13;\n    }\n    if ((t & 0x7f) === 0) {\n      r += 7;\n      t >>>= 7;\n    }\n    if ((t & 0xf) === 0) {\n      r += 4;\n      t >>>= 4;\n    }\n    if ((t & 0x3) === 0) {\n      r += 2;\n      t >>>= 2;\n    }\n    if ((t & 0x1) === 0) {\n      r++;\n    }\n    return r;\n  };\n\n  // Return number of used bits in a BN\n  BN.prototype.bitLength = function bitLength () {\n    var w = this.words[this.length - 1];\n    var hi = this._countBits(w);\n    return (this.length - 1) * 26 + hi;\n  };\n\n  function toBitArray (num) {\n    var w = new Array(num.bitLength());\n\n    for (var bit = 0; bit < w.length; bit++) {\n      var off = (bit / 26) | 0;\n      var wbit = bit % 26;\n\n      w[bit] = (num.words[off] & (1 << wbit)) >>> wbit;\n    }\n\n    return w;\n  }\n\n  // Number of trailing zero bits\n  BN.prototype.zeroBits = function zeroBits () {\n    if (this.isZero()) return 0;\n\n    var r = 0;\n    for (var i = 0; i < this.length; i++) {\n      var b = this._zeroBits(this.words[i]);\n      r += b;\n      if (b !== 26) break;\n    }\n    return r;\n  };\n\n  BN.prototype.byteLength = function byteLength () {\n    return Math.ceil(this.bitLength() / 8);\n  };\n\n  BN.prototype.toTwos = function toTwos (width) {\n    if (this.negative !== 0) {\n      return this.abs().inotn(width).iaddn(1);\n    }\n    return this.clone();\n  };\n\n  BN.prototype.fromTwos = function fromTwos (width) {\n    if (this.testn(width - 1)) {\n      return this.notn(width).iaddn(1).ineg();\n    }\n    return this.clone();\n  };\n\n  BN.prototype.isNeg = function isNeg () {\n    return this.negative !== 0;\n  };\n\n  // Return negative clone of `this`\n  BN.prototype.neg = function neg () {\n    return this.clone().ineg();\n  };\n\n  BN.prototype.ineg = function ineg () {\n    if (!this.isZero()) {\n      this.negative ^= 1;\n    }\n\n    return this;\n  };\n\n  // Or `num` with `this` in-place\n  BN.prototype.iuor = function iuor (num) {\n    while (this.length < num.length) {\n      this.words[this.length++] = 0;\n    }\n\n    for (var i = 0; i < num.length; i++) {\n      this.words[i] = this.words[i] | num.words[i];\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ior = function ior (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuor(num);\n  };\n\n  // Or `num` with `this`\n  BN.prototype.or = function or (num) {\n    if (this.length > num.length) return this.clone().ior(num);\n    return num.clone().ior(this);\n  };\n\n  BN.prototype.uor = function uor (num) {\n    if (this.length > num.length) return this.clone().iuor(num);\n    return num.clone().iuor(this);\n  };\n\n  // And `num` with `this` in-place\n  BN.prototype.iuand = function iuand (num) {\n    // b = min-length(num, this)\n    var b;\n    if (this.length > num.length) {\n      b = num;\n    } else {\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = this.words[i] & num.words[i];\n    }\n\n    this.length = b.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.iand = function iand (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuand(num);\n  };\n\n  // And `num` with `this`\n  BN.prototype.and = function and (num) {\n    if (this.length > num.length) return this.clone().iand(num);\n    return num.clone().iand(this);\n  };\n\n  BN.prototype.uand = function uand (num) {\n    if (this.length > num.length) return this.clone().iuand(num);\n    return num.clone().iuand(this);\n  };\n\n  // Xor `num` with `this` in-place\n  BN.prototype.iuxor = function iuxor (num) {\n    // a.length > b.length\n    var a;\n    var b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = a.words[i] ^ b.words[i];\n    }\n\n    if (this !== a) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = a.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.ixor = function ixor (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuxor(num);\n  };\n\n  // Xor `num` with `this`\n  BN.prototype.xor = function xor (num) {\n    if (this.length > num.length) return this.clone().ixor(num);\n    return num.clone().ixor(this);\n  };\n\n  BN.prototype.uxor = function uxor (num) {\n    if (this.length > num.length) return this.clone().iuxor(num);\n    return num.clone().iuxor(this);\n  };\n\n  // Not ``this`` with ``width`` bitwidth\n  BN.prototype.inotn = function inotn (width) {\n    assert(typeof width === 'number' && width >= 0);\n\n    var bytesNeeded = Math.ceil(width / 26) | 0;\n    var bitsLeft = width % 26;\n\n    // Extend the buffer with leading zeroes\n    this._expand(bytesNeeded);\n\n    if (bitsLeft > 0) {\n      bytesNeeded--;\n    }\n\n    // Handle complete words\n    for (var i = 0; i < bytesNeeded; i++) {\n      this.words[i] = ~this.words[i] & 0x3ffffff;\n    }\n\n    // Handle the residue\n    if (bitsLeft > 0) {\n      this.words[i] = ~this.words[i] & (0x3ffffff >> (26 - bitsLeft));\n    }\n\n    // And remove leading zeroes\n    return this.strip();\n  };\n\n  BN.prototype.notn = function notn (width) {\n    return this.clone().inotn(width);\n  };\n\n  // Set `bit` of `this`\n  BN.prototype.setn = function setn (bit, val) {\n    assert(typeof bit === 'number' && bit >= 0);\n\n    var off = (bit / 26) | 0;\n    var wbit = bit % 26;\n\n    this._expand(off + 1);\n\n    if (val) {\n      this.words[off] = this.words[off] | (1 << wbit);\n    } else {\n      this.words[off] = this.words[off] & ~(1 << wbit);\n    }\n\n    return this.strip();\n  };\n\n  // Add `num` to `this` in-place\n  BN.prototype.iadd = function iadd (num) {\n    var r;\n\n    // negative + positive\n    if (this.negative !== 0 && num.negative === 0) {\n      this.negative = 0;\n      r = this.isub(num);\n      this.negative ^= 1;\n      return this._normSign();\n\n    // positive + negative\n    } else if (this.negative === 0 && num.negative !== 0) {\n      num.negative = 0;\n      r = this.isub(num);\n      num.negative = 1;\n      return r._normSign();\n    }\n\n    // a.length > b.length\n    var a, b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) + (b.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n\n    this.length = a.length;\n    if (carry !== 0) {\n      this.words[this.length] = carry;\n      this.length++;\n    // Copy the rest of the words\n    } else if (a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    return this;\n  };\n\n  // Add `num` to `this`\n  BN.prototype.add = function add (num) {\n    var res;\n    if (num.negative !== 0 && this.negative === 0) {\n      num.negative = 0;\n      res = this.sub(num);\n      num.negative ^= 1;\n      return res;\n    } else if (num.negative === 0 && this.negative !== 0) {\n      this.negative = 0;\n      res = num.sub(this);\n      this.negative = 1;\n      return res;\n    }\n\n    if (this.length > num.length) return this.clone().iadd(num);\n\n    return num.clone().iadd(this);\n  };\n\n  // Subtract `num` from `this` in-place\n  BN.prototype.isub = function isub (num) {\n    // this - (-num) = this + num\n    if (num.negative !== 0) {\n      num.negative = 0;\n      var r = this.iadd(num);\n      num.negative = 1;\n      return r._normSign();\n\n    // -this - num = -(this + num)\n    } else if (this.negative !== 0) {\n      this.negative = 0;\n      this.iadd(num);\n      this.negative = 1;\n      return this._normSign();\n    }\n\n    // At this point both numbers are positive\n    var cmp = this.cmp(num);\n\n    // Optimization - zeroify\n    if (cmp === 0) {\n      this.negative = 0;\n      this.length = 1;\n      this.words[0] = 0;\n      return this;\n    }\n\n    // a > b\n    var a, b;\n    if (cmp > 0) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) - (b.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n\n    // Copy rest of the words\n    if (carry === 0 && i < a.length && a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = Math.max(this.length, i);\n\n    if (a !== this) {\n      this.negative = 1;\n    }\n\n    return this.strip();\n  };\n\n  // Subtract `num` from `this`\n  BN.prototype.sub = function sub (num) {\n    return this.clone().isub(num);\n  };\n\n  function smallMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    var len = (self.length + num.length) | 0;\n    out.length = len;\n    len = (len - 1) | 0;\n\n    // Peel one iteration (compiler can't do it, because of code complexity)\n    var a = self.words[0] | 0;\n    var b = num.words[0] | 0;\n    var r = a * b;\n\n    var lo = r & 0x3ffffff;\n    var carry = (r / 0x4000000) | 0;\n    out.words[0] = lo;\n\n    for (var k = 1; k < len; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = carry >>> 26;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = (k - j) | 0;\n        a = self.words[i] | 0;\n        b = num.words[j] | 0;\n        r = a * b + rword;\n        ncarry += (r / 0x4000000) | 0;\n        rword = r & 0x3ffffff;\n      }\n      out.words[k] = rword | 0;\n      carry = ncarry | 0;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry | 0;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  // TODO(indutny): it may be reasonable to omit it for users who don't need\n  // to work with 256-bit numbers, otherwise it gives 20% improvement for 256-bit\n  // multiplication (like elliptic secp256k1).\n  var comb10MulTo = function comb10MulTo (self, num, out) {\n    var a = self.words;\n    var b = num.words;\n    var o = out.words;\n    var c = 0;\n    var lo;\n    var mid;\n    var hi;\n    var a0 = a[0] | 0;\n    var al0 = a0 & 0x1fff;\n    var ah0 = a0 >>> 13;\n    var a1 = a[1] | 0;\n    var al1 = a1 & 0x1fff;\n    var ah1 = a1 >>> 13;\n    var a2 = a[2] | 0;\n    var al2 = a2 & 0x1fff;\n    var ah2 = a2 >>> 13;\n    var a3 = a[3] | 0;\n    var al3 = a3 & 0x1fff;\n    var ah3 = a3 >>> 13;\n    var a4 = a[4] | 0;\n    var al4 = a4 & 0x1fff;\n    var ah4 = a4 >>> 13;\n    var a5 = a[5] | 0;\n    var al5 = a5 & 0x1fff;\n    var ah5 = a5 >>> 13;\n    var a6 = a[6] | 0;\n    var al6 = a6 & 0x1fff;\n    var ah6 = a6 >>> 13;\n    var a7 = a[7] | 0;\n    var al7 = a7 & 0x1fff;\n    var ah7 = a7 >>> 13;\n    var a8 = a[8] | 0;\n    var al8 = a8 & 0x1fff;\n    var ah8 = a8 >>> 13;\n    var a9 = a[9] | 0;\n    var al9 = a9 & 0x1fff;\n    var ah9 = a9 >>> 13;\n    var b0 = b[0] | 0;\n    var bl0 = b0 & 0x1fff;\n    var bh0 = b0 >>> 13;\n    var b1 = b[1] | 0;\n    var bl1 = b1 & 0x1fff;\n    var bh1 = b1 >>> 13;\n    var b2 = b[2] | 0;\n    var bl2 = b2 & 0x1fff;\n    var bh2 = b2 >>> 13;\n    var b3 = b[3] | 0;\n    var bl3 = b3 & 0x1fff;\n    var bh3 = b3 >>> 13;\n    var b4 = b[4] | 0;\n    var bl4 = b4 & 0x1fff;\n    var bh4 = b4 >>> 13;\n    var b5 = b[5] | 0;\n    var bl5 = b5 & 0x1fff;\n    var bh5 = b5 >>> 13;\n    var b6 = b[6] | 0;\n    var bl6 = b6 & 0x1fff;\n    var bh6 = b6 >>> 13;\n    var b7 = b[7] | 0;\n    var bl7 = b7 & 0x1fff;\n    var bh7 = b7 >>> 13;\n    var b8 = b[8] | 0;\n    var bl8 = b8 & 0x1fff;\n    var bh8 = b8 >>> 13;\n    var b9 = b[9] | 0;\n    var bl9 = b9 & 0x1fff;\n    var bh9 = b9 >>> 13;\n\n    out.negative = self.negative ^ num.negative;\n    out.length = 19;\n    /* k = 0 */\n    lo = Math.imul(al0, bl0);\n    mid = Math.imul(al0, bh0);\n    mid = (mid + Math.imul(ah0, bl0)) | 0;\n    hi = Math.imul(ah0, bh0);\n    var w0 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w0 >>> 26)) | 0;\n    w0 &= 0x3ffffff;\n    /* k = 1 */\n    lo = Math.imul(al1, bl0);\n    mid = Math.imul(al1, bh0);\n    mid = (mid + Math.imul(ah1, bl0)) | 0;\n    hi = Math.imul(ah1, bh0);\n    lo = (lo + Math.imul(al0, bl1)) | 0;\n    mid = (mid + Math.imul(al0, bh1)) | 0;\n    mid = (mid + Math.imul(ah0, bl1)) | 0;\n    hi = (hi + Math.imul(ah0, bh1)) | 0;\n    var w1 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w1 >>> 26)) | 0;\n    w1 &= 0x3ffffff;\n    /* k = 2 */\n    lo = Math.imul(al2, bl0);\n    mid = Math.imul(al2, bh0);\n    mid = (mid + Math.imul(ah2, bl0)) | 0;\n    hi = Math.imul(ah2, bh0);\n    lo = (lo + Math.imul(al1, bl1)) | 0;\n    mid = (mid + Math.imul(al1, bh1)) | 0;\n    mid = (mid + Math.imul(ah1, bl1)) | 0;\n    hi = (hi + Math.imul(ah1, bh1)) | 0;\n    lo = (lo + Math.imul(al0, bl2)) | 0;\n    mid = (mid + Math.imul(al0, bh2)) | 0;\n    mid = (mid + Math.imul(ah0, bl2)) | 0;\n    hi = (hi + Math.imul(ah0, bh2)) | 0;\n    var w2 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w2 >>> 26)) | 0;\n    w2 &= 0x3ffffff;\n    /* k = 3 */\n    lo = Math.imul(al3, bl0);\n    mid = Math.imul(al3, bh0);\n    mid = (mid + Math.imul(ah3, bl0)) | 0;\n    hi = Math.imul(ah3, bh0);\n    lo = (lo + Math.imul(al2, bl1)) | 0;\n    mid = (mid + Math.imul(al2, bh1)) | 0;\n    mid = (mid + Math.imul(ah2, bl1)) | 0;\n    hi = (hi + Math.imul(ah2, bh1)) | 0;\n    lo = (lo + Math.imul(al1, bl2)) | 0;\n    mid = (mid + Math.imul(al1, bh2)) | 0;\n    mid = (mid + Math.imul(ah1, bl2)) | 0;\n    hi = (hi + Math.imul(ah1, bh2)) | 0;\n    lo = (lo + Math.imul(al0, bl3)) | 0;\n    mid = (mid + Math.imul(al0, bh3)) | 0;\n    mid = (mid + Math.imul(ah0, bl3)) | 0;\n    hi = (hi + Math.imul(ah0, bh3)) | 0;\n    var w3 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w3 >>> 26)) | 0;\n    w3 &= 0x3ffffff;\n    /* k = 4 */\n    lo = Math.imul(al4, bl0);\n    mid = Math.imul(al4, bh0);\n    mid = (mid + Math.imul(ah4, bl0)) | 0;\n    hi = Math.imul(ah4, bh0);\n    lo = (lo + Math.imul(al3, bl1)) | 0;\n    mid = (mid + Math.imul(al3, bh1)) | 0;\n    mid = (mid + Math.imul(ah3, bl1)) | 0;\n    hi = (hi + Math.imul(ah3, bh1)) | 0;\n    lo = (lo + Math.imul(al2, bl2)) | 0;\n    mid = (mid + Math.imul(al2, bh2)) | 0;\n    mid = (mid + Math.imul(ah2, bl2)) | 0;\n    hi = (hi + Math.imul(ah2, bh2)) | 0;\n    lo = (lo + Math.imul(al1, bl3)) | 0;\n    mid = (mid + Math.imul(al1, bh3)) | 0;\n    mid = (mid + Math.imul(ah1, bl3)) | 0;\n    hi = (hi + Math.imul(ah1, bh3)) | 0;\n    lo = (lo + Math.imul(al0, bl4)) | 0;\n    mid = (mid + Math.imul(al0, bh4)) | 0;\n    mid = (mid + Math.imul(ah0, bl4)) | 0;\n    hi = (hi + Math.imul(ah0, bh4)) | 0;\n    var w4 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w4 >>> 26)) | 0;\n    w4 &= 0x3ffffff;\n    /* k = 5 */\n    lo = Math.imul(al5, bl0);\n    mid = Math.imul(al5, bh0);\n    mid = (mid + Math.imul(ah5, bl0)) | 0;\n    hi = Math.imul(ah5, bh0);\n    lo = (lo + Math.imul(al4, bl1)) | 0;\n    mid = (mid + Math.imul(al4, bh1)) | 0;\n    mid = (mid + Math.imul(ah4, bl1)) | 0;\n    hi = (hi + Math.imul(ah4, bh1)) | 0;\n    lo = (lo + Math.imul(al3, bl2)) | 0;\n    mid = (mid + Math.imul(al3, bh2)) | 0;\n    mid = (mid + Math.imul(ah3, bl2)) | 0;\n    hi = (hi + Math.imul(ah3, bh2)) | 0;\n    lo = (lo + Math.imul(al2, bl3)) | 0;\n    mid = (mid + Math.imul(al2, bh3)) | 0;\n    mid = (mid + Math.imul(ah2, bl3)) | 0;\n    hi = (hi + Math.imul(ah2, bh3)) | 0;\n    lo = (lo + Math.imul(al1, bl4)) | 0;\n    mid = (mid + Math.imul(al1, bh4)) | 0;\n    mid = (mid + Math.imul(ah1, bl4)) | 0;\n    hi = (hi + Math.imul(ah1, bh4)) | 0;\n    lo = (lo + Math.imul(al0, bl5)) | 0;\n    mid = (mid + Math.imul(al0, bh5)) | 0;\n    mid = (mid + Math.imul(ah0, bl5)) | 0;\n    hi = (hi + Math.imul(ah0, bh5)) | 0;\n    var w5 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w5 >>> 26)) | 0;\n    w5 &= 0x3ffffff;\n    /* k = 6 */\n    lo = Math.imul(al6, bl0);\n    mid = Math.imul(al6, bh0);\n    mid = (mid + Math.imul(ah6, bl0)) | 0;\n    hi = Math.imul(ah6, bh0);\n    lo = (lo + Math.imul(al5, bl1)) | 0;\n    mid = (mid + Math.imul(al5, bh1)) | 0;\n    mid = (mid + Math.imul(ah5, bl1)) | 0;\n    hi = (hi + Math.imul(ah5, bh1)) | 0;\n    lo = (lo + Math.imul(al4, bl2)) | 0;\n    mid = (mid + Math.imul(al4, bh2)) | 0;\n    mid = (mid + Math.imul(ah4, bl2)) | 0;\n    hi = (hi + Math.imul(ah4, bh2)) | 0;\n    lo = (lo + Math.imul(al3, bl3)) | 0;\n    mid = (mid + Math.imul(al3, bh3)) | 0;\n    mid = (mid + Math.imul(ah3, bl3)) | 0;\n    hi = (hi + Math.imul(ah3, bh3)) | 0;\n    lo = (lo + Math.imul(al2, bl4)) | 0;\n    mid = (mid + Math.imul(al2, bh4)) | 0;\n    mid = (mid + Math.imul(ah2, bl4)) | 0;\n    hi = (hi + Math.imul(ah2, bh4)) | 0;\n    lo = (lo + Math.imul(al1, bl5)) | 0;\n    mid = (mid + Math.imul(al1, bh5)) | 0;\n    mid = (mid + Math.imul(ah1, bl5)) | 0;\n    hi = (hi + Math.imul(ah1, bh5)) | 0;\n    lo = (lo + Math.imul(al0, bl6)) | 0;\n    mid = (mid + Math.imul(al0, bh6)) | 0;\n    mid = (mid + Math.imul(ah0, bl6)) | 0;\n    hi = (hi + Math.imul(ah0, bh6)) | 0;\n    var w6 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w6 >>> 26)) | 0;\n    w6 &= 0x3ffffff;\n    /* k = 7 */\n    lo = Math.imul(al7, bl0);\n    mid = Math.imul(al7, bh0);\n    mid = (mid + Math.imul(ah7, bl0)) | 0;\n    hi = Math.imul(ah7, bh0);\n    lo = (lo + Math.imul(al6, bl1)) | 0;\n    mid = (mid + Math.imul(al6, bh1)) | 0;\n    mid = (mid + Math.imul(ah6, bl1)) | 0;\n    hi = (hi + Math.imul(ah6, bh1)) | 0;\n    lo = (lo + Math.imul(al5, bl2)) | 0;\n    mid = (mid + Math.imul(al5, bh2)) | 0;\n    mid = (mid + Math.imul(ah5, bl2)) | 0;\n    hi = (hi + Math.imul(ah5, bh2)) | 0;\n    lo = (lo + Math.imul(al4, bl3)) | 0;\n    mid = (mid + Math.imul(al4, bh3)) | 0;\n    mid = (mid + Math.imul(ah4, bl3)) | 0;\n    hi = (hi + Math.imul(ah4, bh3)) | 0;\n    lo = (lo + Math.imul(al3, bl4)) | 0;\n    mid = (mid + Math.imul(al3, bh4)) | 0;\n    mid = (mid + Math.imul(ah3, bl4)) | 0;\n    hi = (hi + Math.imul(ah3, bh4)) | 0;\n    lo = (lo + Math.imul(al2, bl5)) | 0;\n    mid = (mid + Math.imul(al2, bh5)) | 0;\n    mid = (mid + Math.imul(ah2, bl5)) | 0;\n    hi = (hi + Math.imul(ah2, bh5)) | 0;\n    lo = (lo + Math.imul(al1, bl6)) | 0;\n    mid = (mid + Math.imul(al1, bh6)) | 0;\n    mid = (mid + Math.imul(ah1, bl6)) | 0;\n    hi = (hi + Math.imul(ah1, bh6)) | 0;\n    lo = (lo + Math.imul(al0, bl7)) | 0;\n    mid = (mid + Math.imul(al0, bh7)) | 0;\n    mid = (mid + Math.imul(ah0, bl7)) | 0;\n    hi = (hi + Math.imul(ah0, bh7)) | 0;\n    var w7 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w7 >>> 26)) | 0;\n    w7 &= 0x3ffffff;\n    /* k = 8 */\n    lo = Math.imul(al8, bl0);\n    mid = Math.imul(al8, bh0);\n    mid = (mid + Math.imul(ah8, bl0)) | 0;\n    hi = Math.imul(ah8, bh0);\n    lo = (lo + Math.imul(al7, bl1)) | 0;\n    mid = (mid + Math.imul(al7, bh1)) | 0;\n    mid = (mid + Math.imul(ah7, bl1)) | 0;\n    hi = (hi + Math.imul(ah7, bh1)) | 0;\n    lo = (lo + Math.imul(al6, bl2)) | 0;\n    mid = (mid + Math.imul(al6, bh2)) | 0;\n    mid = (mid + Math.imul(ah6, bl2)) | 0;\n    hi = (hi + Math.imul(ah6, bh2)) | 0;\n    lo = (lo + Math.imul(al5, bl3)) | 0;\n    mid = (mid + Math.imul(al5, bh3)) | 0;\n    mid = (mid + Math.imul(ah5, bl3)) | 0;\n    hi = (hi + Math.imul(ah5, bh3)) | 0;\n    lo = (lo + Math.imul(al4, bl4)) | 0;\n    mid = (mid + Math.imul(al4, bh4)) | 0;\n    mid = (mid + Math.imul(ah4, bl4)) | 0;\n    hi = (hi + Math.imul(ah4, bh4)) | 0;\n    lo = (lo + Math.imul(al3, bl5)) | 0;\n    mid = (mid + Math.imul(al3, bh5)) | 0;\n    mid = (mid + Math.imul(ah3, bl5)) | 0;\n    hi = (hi + Math.imul(ah3, bh5)) | 0;\n    lo = (lo + Math.imul(al2, bl6)) | 0;\n    mid = (mid + Math.imul(al2, bh6)) | 0;\n    mid = (mid + Math.imul(ah2, bl6)) | 0;\n    hi = (hi + Math.imul(ah2, bh6)) | 0;\n    lo = (lo + Math.imul(al1, bl7)) | 0;\n    mid = (mid + Math.imul(al1, bh7)) | 0;\n    mid = (mid + Math.imul(ah1, bl7)) | 0;\n    hi = (hi + Math.imul(ah1, bh7)) | 0;\n    lo = (lo + Math.imul(al0, bl8)) | 0;\n    mid = (mid + Math.imul(al0, bh8)) | 0;\n    mid = (mid + Math.imul(ah0, bl8)) | 0;\n    hi = (hi + Math.imul(ah0, bh8)) | 0;\n    var w8 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w8 >>> 26)) | 0;\n    w8 &= 0x3ffffff;\n    /* k = 9 */\n    lo = Math.imul(al9, bl0);\n    mid = Math.imul(al9, bh0);\n    mid = (mid + Math.imul(ah9, bl0)) | 0;\n    hi = Math.imul(ah9, bh0);\n    lo = (lo + Math.imul(al8, bl1)) | 0;\n    mid = (mid + Math.imul(al8, bh1)) | 0;\n    mid = (mid + Math.imul(ah8, bl1)) | 0;\n    hi = (hi + Math.imul(ah8, bh1)) | 0;\n    lo = (lo + Math.imul(al7, bl2)) | 0;\n    mid = (mid + Math.imul(al7, bh2)) | 0;\n    mid = (mid + Math.imul(ah7, bl2)) | 0;\n    hi = (hi + Math.imul(ah7, bh2)) | 0;\n    lo = (lo + Math.imul(al6, bl3)) | 0;\n    mid = (mid + Math.imul(al6, bh3)) | 0;\n    mid = (mid + Math.imul(ah6, bl3)) | 0;\n    hi = (hi + Math.imul(ah6, bh3)) | 0;\n    lo = (lo + Math.imul(al5, bl4)) | 0;\n    mid = (mid + Math.imul(al5, bh4)) | 0;\n    mid = (mid + Math.imul(ah5, bl4)) | 0;\n    hi = (hi + Math.imul(ah5, bh4)) | 0;\n    lo = (lo + Math.imul(al4, bl5)) | 0;\n    mid = (mid + Math.imul(al4, bh5)) | 0;\n    mid = (mid + Math.imul(ah4, bl5)) | 0;\n    hi = (hi + Math.imul(ah4, bh5)) | 0;\n    lo = (lo + Math.imul(al3, bl6)) | 0;\n    mid = (mid + Math.imul(al3, bh6)) | 0;\n    mid = (mid + Math.imul(ah3, bl6)) | 0;\n    hi = (hi + Math.imul(ah3, bh6)) | 0;\n    lo = (lo + Math.imul(al2, bl7)) | 0;\n    mid = (mid + Math.imul(al2, bh7)) | 0;\n    mid = (mid + Math.imul(ah2, bl7)) | 0;\n    hi = (hi + Math.imul(ah2, bh7)) | 0;\n    lo = (lo + Math.imul(al1, bl8)) | 0;\n    mid = (mid + Math.imul(al1, bh8)) | 0;\n    mid = (mid + Math.imul(ah1, bl8)) | 0;\n    hi = (hi + Math.imul(ah1, bh8)) | 0;\n    lo = (lo + Math.imul(al0, bl9)) | 0;\n    mid = (mid + Math.imul(al0, bh9)) | 0;\n    mid = (mid + Math.imul(ah0, bl9)) | 0;\n    hi = (hi + Math.imul(ah0, bh9)) | 0;\n    var w9 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w9 >>> 26)) | 0;\n    w9 &= 0x3ffffff;\n    /* k = 10 */\n    lo = Math.imul(al9, bl1);\n    mid = Math.imul(al9, bh1);\n    mid = (mid + Math.imul(ah9, bl1)) | 0;\n    hi = Math.imul(ah9, bh1);\n    lo = (lo + Math.imul(al8, bl2)) | 0;\n    mid = (mid + Math.imul(al8, bh2)) | 0;\n    mid = (mid + Math.imul(ah8, bl2)) | 0;\n    hi = (hi + Math.imul(ah8, bh2)) | 0;\n    lo = (lo + Math.imul(al7, bl3)) | 0;\n    mid = (mid + Math.imul(al7, bh3)) | 0;\n    mid = (mid + Math.imul(ah7, bl3)) | 0;\n    hi = (hi + Math.imul(ah7, bh3)) | 0;\n    lo = (lo + Math.imul(al6, bl4)) | 0;\n    mid = (mid + Math.imul(al6, bh4)) | 0;\n    mid = (mid + Math.imul(ah6, bl4)) | 0;\n    hi = (hi + Math.imul(ah6, bh4)) | 0;\n    lo = (lo + Math.imul(al5, bl5)) | 0;\n    mid = (mid + Math.imul(al5, bh5)) | 0;\n    mid = (mid + Math.imul(ah5, bl5)) | 0;\n    hi = (hi + Math.imul(ah5, bh5)) | 0;\n    lo = (lo + Math.imul(al4, bl6)) | 0;\n    mid = (mid + Math.imul(al4, bh6)) | 0;\n    mid = (mid + Math.imul(ah4, bl6)) | 0;\n    hi = (hi + Math.imul(ah4, bh6)) | 0;\n    lo = (lo + Math.imul(al3, bl7)) | 0;\n    mid = (mid + Math.imul(al3, bh7)) | 0;\n    mid = (mid + Math.imul(ah3, bl7)) | 0;\n    hi = (hi + Math.imul(ah3, bh7)) | 0;\n    lo = (lo + Math.imul(al2, bl8)) | 0;\n    mid = (mid + Math.imul(al2, bh8)) | 0;\n    mid = (mid + Math.imul(ah2, bl8)) | 0;\n    hi = (hi + Math.imul(ah2, bh8)) | 0;\n    lo = (lo + Math.imul(al1, bl9)) | 0;\n    mid = (mid + Math.imul(al1, bh9)) | 0;\n    mid = (mid + Math.imul(ah1, bl9)) | 0;\n    hi = (hi + Math.imul(ah1, bh9)) | 0;\n    var w10 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w10 >>> 26)) | 0;\n    w10 &= 0x3ffffff;\n    /* k = 11 */\n    lo = Math.imul(al9, bl2);\n    mid = Math.imul(al9, bh2);\n    mid = (mid + Math.imul(ah9, bl2)) | 0;\n    hi = Math.imul(ah9, bh2);\n    lo = (lo + Math.imul(al8, bl3)) | 0;\n    mid = (mid + Math.imul(al8, bh3)) | 0;\n    mid = (mid + Math.imul(ah8, bl3)) | 0;\n    hi = (hi + Math.imul(ah8, bh3)) | 0;\n    lo = (lo + Math.imul(al7, bl4)) | 0;\n    mid = (mid + Math.imul(al7, bh4)) | 0;\n    mid = (mid + Math.imul(ah7, bl4)) | 0;\n    hi = (hi + Math.imul(ah7, bh4)) | 0;\n    lo = (lo + Math.imul(al6, bl5)) | 0;\n    mid = (mid + Math.imul(al6, bh5)) | 0;\n    mid = (mid + Math.imul(ah6, bl5)) | 0;\n    hi = (hi + Math.imul(ah6, bh5)) | 0;\n    lo = (lo + Math.imul(al5, bl6)) | 0;\n    mid = (mid + Math.imul(al5, bh6)) | 0;\n    mid = (mid + Math.imul(ah5, bl6)) | 0;\n    hi = (hi + Math.imul(ah5, bh6)) | 0;\n    lo = (lo + Math.imul(al4, bl7)) | 0;\n    mid = (mid + Math.imul(al4, bh7)) | 0;\n    mid = (mid + Math.imul(ah4, bl7)) | 0;\n    hi = (hi + Math.imul(ah4, bh7)) | 0;\n    lo = (lo + Math.imul(al3, bl8)) | 0;\n    mid = (mid + Math.imul(al3, bh8)) | 0;\n    mid = (mid + Math.imul(ah3, bl8)) | 0;\n    hi = (hi + Math.imul(ah3, bh8)) | 0;\n    lo = (lo + Math.imul(al2, bl9)) | 0;\n    mid = (mid + Math.imul(al2, bh9)) | 0;\n    mid = (mid + Math.imul(ah2, bl9)) | 0;\n    hi = (hi + Math.imul(ah2, bh9)) | 0;\n    var w11 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w11 >>> 26)) | 0;\n    w11 &= 0x3ffffff;\n    /* k = 12 */\n    lo = Math.imul(al9, bl3);\n    mid = Math.imul(al9, bh3);\n    mid = (mid + Math.imul(ah9, bl3)) | 0;\n    hi = Math.imul(ah9, bh3);\n    lo = (lo + Math.imul(al8, bl4)) | 0;\n    mid = (mid + Math.imul(al8, bh4)) | 0;\n    mid = (mid + Math.imul(ah8, bl4)) | 0;\n    hi = (hi + Math.imul(ah8, bh4)) | 0;\n    lo = (lo + Math.imul(al7, bl5)) | 0;\n    mid = (mid + Math.imul(al7, bh5)) | 0;\n    mid = (mid + Math.imul(ah7, bl5)) | 0;\n    hi = (hi + Math.imul(ah7, bh5)) | 0;\n    lo = (lo + Math.imul(al6, bl6)) | 0;\n    mid = (mid + Math.imul(al6, bh6)) | 0;\n    mid = (mid + Math.imul(ah6, bl6)) | 0;\n    hi = (hi + Math.imul(ah6, bh6)) | 0;\n    lo = (lo + Math.imul(al5, bl7)) | 0;\n    mid = (mid + Math.imul(al5, bh7)) | 0;\n    mid = (mid + Math.imul(ah5, bl7)) | 0;\n    hi = (hi + Math.imul(ah5, bh7)) | 0;\n    lo = (lo + Math.imul(al4, bl8)) | 0;\n    mid = (mid + Math.imul(al4, bh8)) | 0;\n    mid = (mid + Math.imul(ah4, bl8)) | 0;\n    hi = (hi + Math.imul(ah4, bh8)) | 0;\n    lo = (lo + Math.imul(al3, bl9)) | 0;\n    mid = (mid + Math.imul(al3, bh9)) | 0;\n    mid = (mid + Math.imul(ah3, bl9)) | 0;\n    hi = (hi + Math.imul(ah3, bh9)) | 0;\n    var w12 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w12 >>> 26)) | 0;\n    w12 &= 0x3ffffff;\n    /* k = 13 */\n    lo = Math.imul(al9, bl4);\n    mid = Math.imul(al9, bh4);\n    mid = (mid + Math.imul(ah9, bl4)) | 0;\n    hi = Math.imul(ah9, bh4);\n    lo = (lo + Math.imul(al8, bl5)) | 0;\n    mid = (mid + Math.imul(al8, bh5)) | 0;\n    mid = (mid + Math.imul(ah8, bl5)) | 0;\n    hi = (hi + Math.imul(ah8, bh5)) | 0;\n    lo = (lo + Math.imul(al7, bl6)) | 0;\n    mid = (mid + Math.imul(al7, bh6)) | 0;\n    mid = (mid + Math.imul(ah7, bl6)) | 0;\n    hi = (hi + Math.imul(ah7, bh6)) | 0;\n    lo = (lo + Math.imul(al6, bl7)) | 0;\n    mid = (mid + Math.imul(al6, bh7)) | 0;\n    mid = (mid + Math.imul(ah6, bl7)) | 0;\n    hi = (hi + Math.imul(ah6, bh7)) | 0;\n    lo = (lo + Math.imul(al5, bl8)) | 0;\n    mid = (mid + Math.imul(al5, bh8)) | 0;\n    mid = (mid + Math.imul(ah5, bl8)) | 0;\n    hi = (hi + Math.imul(ah5, bh8)) | 0;\n    lo = (lo + Math.imul(al4, bl9)) | 0;\n    mid = (mid + Math.imul(al4, bh9)) | 0;\n    mid = (mid + Math.imul(ah4, bl9)) | 0;\n    hi = (hi + Math.imul(ah4, bh9)) | 0;\n    var w13 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w13 >>> 26)) | 0;\n    w13 &= 0x3ffffff;\n    /* k = 14 */\n    lo = Math.imul(al9, bl5);\n    mid = Math.imul(al9, bh5);\n    mid = (mid + Math.imul(ah9, bl5)) | 0;\n    hi = Math.imul(ah9, bh5);\n    lo = (lo + Math.imul(al8, bl6)) | 0;\n    mid = (mid + Math.imul(al8, bh6)) | 0;\n    mid = (mid + Math.imul(ah8, bl6)) | 0;\n    hi = (hi + Math.imul(ah8, bh6)) | 0;\n    lo = (lo + Math.imul(al7, bl7)) | 0;\n    mid = (mid + Math.imul(al7, bh7)) | 0;\n    mid = (mid + Math.imul(ah7, bl7)) | 0;\n    hi = (hi + Math.imul(ah7, bh7)) | 0;\n    lo = (lo + Math.imul(al6, bl8)) | 0;\n    mid = (mid + Math.imul(al6, bh8)) | 0;\n    mid = (mid + Math.imul(ah6, bl8)) | 0;\n    hi = (hi + Math.imul(ah6, bh8)) | 0;\n    lo = (lo + Math.imul(al5, bl9)) | 0;\n    mid = (mid + Math.imul(al5, bh9)) | 0;\n    mid = (mid + Math.imul(ah5, bl9)) | 0;\n    hi = (hi + Math.imul(ah5, bh9)) | 0;\n    var w14 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w14 >>> 26)) | 0;\n    w14 &= 0x3ffffff;\n    /* k = 15 */\n    lo = Math.imul(al9, bl6);\n    mid = Math.imul(al9, bh6);\n    mid = (mid + Math.imul(ah9, bl6)) | 0;\n    hi = Math.imul(ah9, bh6);\n    lo = (lo + Math.imul(al8, bl7)) | 0;\n    mid = (mid + Math.imul(al8, bh7)) | 0;\n    mid = (mid + Math.imul(ah8, bl7)) | 0;\n    hi = (hi + Math.imul(ah8, bh7)) | 0;\n    lo = (lo + Math.imul(al7, bl8)) | 0;\n    mid = (mid + Math.imul(al7, bh8)) | 0;\n    mid = (mid + Math.imul(ah7, bl8)) | 0;\n    hi = (hi + Math.imul(ah7, bh8)) | 0;\n    lo = (lo + Math.imul(al6, bl9)) | 0;\n    mid = (mid + Math.imul(al6, bh9)) | 0;\n    mid = (mid + Math.imul(ah6, bl9)) | 0;\n    hi = (hi + Math.imul(ah6, bh9)) | 0;\n    var w15 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w15 >>> 26)) | 0;\n    w15 &= 0x3ffffff;\n    /* k = 16 */\n    lo = Math.imul(al9, bl7);\n    mid = Math.imul(al9, bh7);\n    mid = (mid + Math.imul(ah9, bl7)) | 0;\n    hi = Math.imul(ah9, bh7);\n    lo = (lo + Math.imul(al8, bl8)) | 0;\n    mid = (mid + Math.imul(al8, bh8)) | 0;\n    mid = (mid + Math.imul(ah8, bl8)) | 0;\n    hi = (hi + Math.imul(ah8, bh8)) | 0;\n    lo = (lo + Math.imul(al7, bl9)) | 0;\n    mid = (mid + Math.imul(al7, bh9)) | 0;\n    mid = (mid + Math.imul(ah7, bl9)) | 0;\n    hi = (hi + Math.imul(ah7, bh9)) | 0;\n    var w16 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w16 >>> 26)) | 0;\n    w16 &= 0x3ffffff;\n    /* k = 17 */\n    lo = Math.imul(al9, bl8);\n    mid = Math.imul(al9, bh8);\n    mid = (mid + Math.imul(ah9, bl8)) | 0;\n    hi = Math.imul(ah9, bh8);\n    lo = (lo + Math.imul(al8, bl9)) | 0;\n    mid = (mid + Math.imul(al8, bh9)) | 0;\n    mid = (mid + Math.imul(ah8, bl9)) | 0;\n    hi = (hi + Math.imul(ah8, bh9)) | 0;\n    var w17 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w17 >>> 26)) | 0;\n    w17 &= 0x3ffffff;\n    /* k = 18 */\n    lo = Math.imul(al9, bl9);\n    mid = Math.imul(al9, bh9);\n    mid = (mid + Math.imul(ah9, bl9)) | 0;\n    hi = Math.imul(ah9, bh9);\n    var w18 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w18 >>> 26)) | 0;\n    w18 &= 0x3ffffff;\n    o[0] = w0;\n    o[1] = w1;\n    o[2] = w2;\n    o[3] = w3;\n    o[4] = w4;\n    o[5] = w5;\n    o[6] = w6;\n    o[7] = w7;\n    o[8] = w8;\n    o[9] = w9;\n    o[10] = w10;\n    o[11] = w11;\n    o[12] = w12;\n    o[13] = w13;\n    o[14] = w14;\n    o[15] = w15;\n    o[16] = w16;\n    o[17] = w17;\n    o[18] = w18;\n    if (c !== 0) {\n      o[19] = c;\n      out.length++;\n    }\n    return out;\n  };\n\n  // Polyfill comb\n  if (!Math.imul) {\n    comb10MulTo = smallMulTo;\n  }\n\n  function bigMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    out.length = self.length + num.length;\n\n    var carry = 0;\n    var hncarry = 0;\n    for (var k = 0; k < out.length - 1; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = hncarry;\n      hncarry = 0;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = k - j;\n        var a = self.words[i] | 0;\n        var b = num.words[j] | 0;\n        var r = a * b;\n\n        var lo = r & 0x3ffffff;\n        ncarry = (ncarry + ((r / 0x4000000) | 0)) | 0;\n        lo = (lo + rword) | 0;\n        rword = lo & 0x3ffffff;\n        ncarry = (ncarry + (lo >>> 26)) | 0;\n\n        hncarry += ncarry >>> 26;\n        ncarry &= 0x3ffffff;\n      }\n      out.words[k] = rword;\n      carry = ncarry;\n      ncarry = hncarry;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  function jumboMulTo (self, num, out) {\n    var fftm = new FFTM();\n    return fftm.mulp(self, num, out);\n  }\n\n  BN.prototype.mulTo = function mulTo (num, out) {\n    var res;\n    var len = this.length + num.length;\n    if (this.length === 10 && num.length === 10) {\n      res = comb10MulTo(this, num, out);\n    } else if (len < 63) {\n      res = smallMulTo(this, num, out);\n    } else if (len < 1024) {\n      res = bigMulTo(this, num, out);\n    } else {\n      res = jumboMulTo(this, num, out);\n    }\n\n    return res;\n  };\n\n  // Cooley-Tukey algorithm for FFT\n  // slightly revisited to rely on looping instead of recursion\n\n  function FFTM (x, y) {\n    this.x = x;\n    this.y = y;\n  }\n\n  FFTM.prototype.makeRBT = function makeRBT (N) {\n    var t = new Array(N);\n    var l = BN.prototype._countBits(N) - 1;\n    for (var i = 0; i < N; i++) {\n      t[i] = this.revBin(i, l, N);\n    }\n\n    return t;\n  };\n\n  // Returns binary-reversed representation of `x`\n  FFTM.prototype.revBin = function revBin (x, l, N) {\n    if (x === 0 || x === N - 1) return x;\n\n    var rb = 0;\n    for (var i = 0; i < l; i++) {\n      rb |= (x & 1) << (l - i - 1);\n      x >>= 1;\n    }\n\n    return rb;\n  };\n\n  // Performs \"tweedling\" phase, therefore 'emulating'\n  // behaviour of the recursive algorithm\n  FFTM.prototype.permute = function permute (rbt, rws, iws, rtws, itws, N) {\n    for (var i = 0; i < N; i++) {\n      rtws[i] = rws[rbt[i]];\n      itws[i] = iws[rbt[i]];\n    }\n  };\n\n  FFTM.prototype.transform = function transform (rws, iws, rtws, itws, N, rbt) {\n    this.permute(rbt, rws, iws, rtws, itws, N);\n\n    for (var s = 1; s < N; s <<= 1) {\n      var l = s << 1;\n\n      var rtwdf = Math.cos(2 * Math.PI / l);\n      var itwdf = Math.sin(2 * Math.PI / l);\n\n      for (var p = 0; p < N; p += l) {\n        var rtwdf_ = rtwdf;\n        var itwdf_ = itwdf;\n\n        for (var j = 0; j < s; j++) {\n          var re = rtws[p + j];\n          var ie = itws[p + j];\n\n          var ro = rtws[p + j + s];\n          var io = itws[p + j + s];\n\n          var rx = rtwdf_ * ro - itwdf_ * io;\n\n          io = rtwdf_ * io + itwdf_ * ro;\n          ro = rx;\n\n          rtws[p + j] = re + ro;\n          itws[p + j] = ie + io;\n\n          rtws[p + j + s] = re - ro;\n          itws[p + j + s] = ie - io;\n\n          /* jshint maxdepth : false */\n          if (j !== l) {\n            rx = rtwdf * rtwdf_ - itwdf * itwdf_;\n\n            itwdf_ = rtwdf * itwdf_ + itwdf * rtwdf_;\n            rtwdf_ = rx;\n          }\n        }\n      }\n    }\n  };\n\n  FFTM.prototype.guessLen13b = function guessLen13b (n, m) {\n    var N = Math.max(m, n) | 1;\n    var odd = N & 1;\n    var i = 0;\n    for (N = N / 2 | 0; N; N = N >>> 1) {\n      i++;\n    }\n\n    return 1 << i + 1 + odd;\n  };\n\n  FFTM.prototype.conjugate = function conjugate (rws, iws, N) {\n    if (N <= 1) return;\n\n    for (var i = 0; i < N / 2; i++) {\n      var t = rws[i];\n\n      rws[i] = rws[N - i - 1];\n      rws[N - i - 1] = t;\n\n      t = iws[i];\n\n      iws[i] = -iws[N - i - 1];\n      iws[N - i - 1] = -t;\n    }\n  };\n\n  FFTM.prototype.normalize13b = function normalize13b (ws, N) {\n    var carry = 0;\n    for (var i = 0; i < N / 2; i++) {\n      var w = Math.round(ws[2 * i + 1] / N) * 0x2000 +\n        Math.round(ws[2 * i] / N) +\n        carry;\n\n      ws[i] = w & 0x3ffffff;\n\n      if (w < 0x4000000) {\n        carry = 0;\n      } else {\n        carry = w / 0x4000000 | 0;\n      }\n    }\n\n    return ws;\n  };\n\n  FFTM.prototype.convert13b = function convert13b (ws, len, rws, N) {\n    var carry = 0;\n    for (var i = 0; i < len; i++) {\n      carry = carry + (ws[i] | 0);\n\n      rws[2 * i] = carry & 0x1fff; carry = carry >>> 13;\n      rws[2 * i + 1] = carry & 0x1fff; carry = carry >>> 13;\n    }\n\n    // Pad with zeroes\n    for (i = 2 * len; i < N; ++i) {\n      rws[i] = 0;\n    }\n\n    assert(carry === 0);\n    assert((carry & ~0x1fff) === 0);\n  };\n\n  FFTM.prototype.stub = function stub (N) {\n    var ph = new Array(N);\n    for (var i = 0; i < N; i++) {\n      ph[i] = 0;\n    }\n\n    return ph;\n  };\n\n  FFTM.prototype.mulp = function mulp (x, y, out) {\n    var N = 2 * this.guessLen13b(x.length, y.length);\n\n    var rbt = this.makeRBT(N);\n\n    var _ = this.stub(N);\n\n    var rws = new Array(N);\n    var rwst = new Array(N);\n    var iwst = new Array(N);\n\n    var nrws = new Array(N);\n    var nrwst = new Array(N);\n    var niwst = new Array(N);\n\n    var rmws = out.words;\n    rmws.length = N;\n\n    this.convert13b(x.words, x.length, rws, N);\n    this.convert13b(y.words, y.length, nrws, N);\n\n    this.transform(rws, _, rwst, iwst, N, rbt);\n    this.transform(nrws, _, nrwst, niwst, N, rbt);\n\n    for (var i = 0; i < N; i++) {\n      var rx = rwst[i] * nrwst[i] - iwst[i] * niwst[i];\n      iwst[i] = rwst[i] * niwst[i] + iwst[i] * nrwst[i];\n      rwst[i] = rx;\n    }\n\n    this.conjugate(rwst, iwst, N);\n    this.transform(rwst, iwst, rmws, _, N, rbt);\n    this.conjugate(rmws, _, N);\n    this.normalize13b(rmws, N);\n\n    out.negative = x.negative ^ y.negative;\n    out.length = x.length + y.length;\n    return out.strip();\n  };\n\n  // Multiply `this` by `num`\n  BN.prototype.mul = function mul (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return this.mulTo(num, out);\n  };\n\n  // Multiply employing FFT\n  BN.prototype.mulf = function mulf (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return jumboMulTo(this, num, out);\n  };\n\n  // In-place Multiplication\n  BN.prototype.imul = function imul (num) {\n    return this.clone().mulTo(num, this);\n  };\n\n  BN.prototype.imuln = function imuln (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n\n    // Carry\n    var carry = 0;\n    for (var i = 0; i < this.length; i++) {\n      var w = (this.words[i] | 0) * num;\n      var lo = (w & 0x3ffffff) + (carry & 0x3ffffff);\n      carry >>= 26;\n      carry += (w / 0x4000000) | 0;\n      // NOTE: lo is 27bit maximum\n      carry += lo >>> 26;\n      this.words[i] = lo & 0x3ffffff;\n    }\n\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n\n    return this;\n  };\n\n  BN.prototype.muln = function muln (num) {\n    return this.clone().imuln(num);\n  };\n\n  // `this` * `this`\n  BN.prototype.sqr = function sqr () {\n    return this.mul(this);\n  };\n\n  // `this` * `this` in-place\n  BN.prototype.isqr = function isqr () {\n    return this.imul(this.clone());\n  };\n\n  // Math.pow(`this`, `num`)\n  BN.prototype.pow = function pow (num) {\n    var w = toBitArray(num);\n    if (w.length === 0) return new BN(1);\n\n    // Skip leading zeroes\n    var res = this;\n    for (var i = 0; i < w.length; i++, res = res.sqr()) {\n      if (w[i] !== 0) break;\n    }\n\n    if (++i < w.length) {\n      for (var q = res.sqr(); i < w.length; i++, q = q.sqr()) {\n        if (w[i] === 0) continue;\n\n        res = res.mul(q);\n      }\n    }\n\n    return res;\n  };\n\n  // Shift-left in-place\n  BN.prototype.iushln = function iushln (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n    var carryMask = (0x3ffffff >>> (26 - r)) << (26 - r);\n    var i;\n\n    if (r !== 0) {\n      var carry = 0;\n\n      for (i = 0; i < this.length; i++) {\n        var newCarry = this.words[i] & carryMask;\n        var c = ((this.words[i] | 0) - newCarry) << r;\n        this.words[i] = c | carry;\n        carry = newCarry >>> (26 - r);\n      }\n\n      if (carry) {\n        this.words[i] = carry;\n        this.length++;\n      }\n    }\n\n    if (s !== 0) {\n      for (i = this.length - 1; i >= 0; i--) {\n        this.words[i + s] = this.words[i];\n      }\n\n      for (i = 0; i < s; i++) {\n        this.words[i] = 0;\n      }\n\n      this.length += s;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishln = function ishln (bits) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushln(bits);\n  };\n\n  // Shift-right in-place\n  // NOTE: `hint` is a lowest bit before trailing zeroes\n  // NOTE: if `extended` is present - it will be filled with destroyed bits\n  BN.prototype.iushrn = function iushrn (bits, hint, extended) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var h;\n    if (hint) {\n      h = (hint - (hint % 26)) / 26;\n    } else {\n      h = 0;\n    }\n\n    var r = bits % 26;\n    var s = Math.min((bits - r) / 26, this.length);\n    var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n    var maskedWords = extended;\n\n    h -= s;\n    h = Math.max(0, h);\n\n    // Extended mode, copy masked part\n    if (maskedWords) {\n      for (var i = 0; i < s; i++) {\n        maskedWords.words[i] = this.words[i];\n      }\n      maskedWords.length = s;\n    }\n\n    if (s === 0) {\n      // No-op, we should not move anything at all\n    } else if (this.length > s) {\n      this.length -= s;\n      for (i = 0; i < this.length; i++) {\n        this.words[i] = this.words[i + s];\n      }\n    } else {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    var carry = 0;\n    for (i = this.length - 1; i >= 0 && (carry !== 0 || i >= h); i--) {\n      var word = this.words[i] | 0;\n      this.words[i] = (carry << (26 - r)) | (word >>> r);\n      carry = word & mask;\n    }\n\n    // Push carried bits as a mask\n    if (maskedWords && carry !== 0) {\n      maskedWords.words[maskedWords.length++] = carry;\n    }\n\n    if (this.length === 0) {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishrn = function ishrn (bits, hint, extended) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushrn(bits, hint, extended);\n  };\n\n  // Shift-left\n  BN.prototype.shln = function shln (bits) {\n    return this.clone().ishln(bits);\n  };\n\n  BN.prototype.ushln = function ushln (bits) {\n    return this.clone().iushln(bits);\n  };\n\n  // Shift-right\n  BN.prototype.shrn = function shrn (bits) {\n    return this.clone().ishrn(bits);\n  };\n\n  BN.prototype.ushrn = function ushrn (bits) {\n    return this.clone().iushrn(bits);\n  };\n\n  // Test if n bit is set\n  BN.prototype.testn = function testn (bit) {\n    assert(typeof bit === 'number' && bit >= 0);\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) return false;\n\n    // Check bit and return\n    var w = this.words[s];\n\n    return !!(w & q);\n  };\n\n  // Return only lowers bits of number (in-place)\n  BN.prototype.imaskn = function imaskn (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n\n    assert(this.negative === 0, 'imaskn works only with positive numbers');\n\n    if (this.length <= s) {\n      return this;\n    }\n\n    if (r !== 0) {\n      s++;\n    }\n    this.length = Math.min(s, this.length);\n\n    if (r !== 0) {\n      var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n      this.words[this.length - 1] &= mask;\n    }\n\n    return this.strip();\n  };\n\n  // Return only lowers bits of number\n  BN.prototype.maskn = function maskn (bits) {\n    return this.clone().imaskn(bits);\n  };\n\n  // Add plain number `num` to `this`\n  BN.prototype.iaddn = function iaddn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.isubn(-num);\n\n    // Possible sign change\n    if (this.negative !== 0) {\n      if (this.length === 1 && (this.words[0] | 0) < num) {\n        this.words[0] = num - (this.words[0] | 0);\n        this.negative = 0;\n        return this;\n      }\n\n      this.negative = 0;\n      this.isubn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    // Add without checks\n    return this._iaddn(num);\n  };\n\n  BN.prototype._iaddn = function _iaddn (num) {\n    this.words[0] += num;\n\n    // Carry\n    for (var i = 0; i < this.length && this.words[i] >= 0x4000000; i++) {\n      this.words[i] -= 0x4000000;\n      if (i === this.length - 1) {\n        this.words[i + 1] = 1;\n      } else {\n        this.words[i + 1]++;\n      }\n    }\n    this.length = Math.max(this.length, i + 1);\n\n    return this;\n  };\n\n  // Subtract plain number `num` from `this`\n  BN.prototype.isubn = function isubn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.iaddn(-num);\n\n    if (this.negative !== 0) {\n      this.negative = 0;\n      this.iaddn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    this.words[0] -= num;\n\n    if (this.length === 1 && this.words[0] < 0) {\n      this.words[0] = -this.words[0];\n      this.negative = 1;\n    } else {\n      // Carry\n      for (var i = 0; i < this.length && this.words[i] < 0; i++) {\n        this.words[i] += 0x4000000;\n        this.words[i + 1] -= 1;\n      }\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.addn = function addn (num) {\n    return this.clone().iaddn(num);\n  };\n\n  BN.prototype.subn = function subn (num) {\n    return this.clone().isubn(num);\n  };\n\n  BN.prototype.iabs = function iabs () {\n    this.negative = 0;\n\n    return this;\n  };\n\n  BN.prototype.abs = function abs () {\n    return this.clone().iabs();\n  };\n\n  BN.prototype._ishlnsubmul = function _ishlnsubmul (num, mul, shift) {\n    var len = num.length + shift;\n    var i;\n\n    this._expand(len);\n\n    var w;\n    var carry = 0;\n    for (i = 0; i < num.length; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      var right = (num.words[i] | 0) * mul;\n      w -= right & 0x3ffffff;\n      carry = (w >> 26) - ((right / 0x4000000) | 0);\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n    for (; i < this.length - shift; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      carry = w >> 26;\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n\n    if (carry === 0) return this.strip();\n\n    // Subtraction overflow\n    assert(carry === -1);\n    carry = 0;\n    for (i = 0; i < this.length; i++) {\n      w = -(this.words[i] | 0) + carry;\n      carry = w >> 26;\n      this.words[i] = w & 0x3ffffff;\n    }\n    this.negative = 1;\n\n    return this.strip();\n  };\n\n  BN.prototype._wordDiv = function _wordDiv (num, mode) {\n    var shift = this.length - num.length;\n\n    var a = this.clone();\n    var b = num;\n\n    // Normalize\n    var bhi = b.words[b.length - 1] | 0;\n    var bhiBits = this._countBits(bhi);\n    shift = 26 - bhiBits;\n    if (shift !== 0) {\n      b = b.ushln(shift);\n      a.iushln(shift);\n      bhi = b.words[b.length - 1] | 0;\n    }\n\n    // Initialize quotient\n    var m = a.length - b.length;\n    var q;\n\n    if (mode !== 'mod') {\n      q = new BN(null);\n      q.length = m + 1;\n      q.words = new Array(q.length);\n      for (var i = 0; i < q.length; i++) {\n        q.words[i] = 0;\n      }\n    }\n\n    var diff = a.clone()._ishlnsubmul(b, 1, m);\n    if (diff.negative === 0) {\n      a = diff;\n      if (q) {\n        q.words[m] = 1;\n      }\n    }\n\n    for (var j = m - 1; j >= 0; j--) {\n      var qj = (a.words[b.length + j] | 0) * 0x4000000 +\n        (a.words[b.length + j - 1] | 0);\n\n      // NOTE: (qj / bhi) is (0x3ffffff * 0x4000000 + 0x3ffffff) / 0x2000000 max\n      // (0x7ffffff)\n      qj = Math.min((qj / bhi) | 0, 0x3ffffff);\n\n      a._ishlnsubmul(b, qj, j);\n      while (a.negative !== 0) {\n        qj--;\n        a.negative = 0;\n        a._ishlnsubmul(b, 1, j);\n        if (!a.isZero()) {\n          a.negative ^= 1;\n        }\n      }\n      if (q) {\n        q.words[j] = qj;\n      }\n    }\n    if (q) {\n      q.strip();\n    }\n    a.strip();\n\n    // Denormalize\n    if (mode !== 'div' && shift !== 0) {\n      a.iushrn(shift);\n    }\n\n    return {\n      div: q || null,\n      mod: a\n    };\n  };\n\n  // NOTE: 1) `mode` can be set to `mod` to request mod only,\n  //       to `div` to request div only, or be absent to\n  //       request both div & mod\n  //       2) `positive` is true if unsigned mod is requested\n  BN.prototype.divmod = function divmod (num, mode, positive) {\n    assert(!num.isZero());\n\n    if (this.isZero()) {\n      return {\n        div: new BN(0),\n        mod: new BN(0)\n      };\n    }\n\n    var div, mod, res;\n    if (this.negative !== 0 && num.negative === 0) {\n      res = this.neg().divmod(num, mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.iadd(num);\n        }\n      }\n\n      return {\n        div: div,\n        mod: mod\n      };\n    }\n\n    if (this.negative === 0 && num.negative !== 0) {\n      res = this.divmod(num.neg(), mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      return {\n        div: div,\n        mod: res.mod\n      };\n    }\n\n    if ((this.negative & num.negative) !== 0) {\n      res = this.neg().divmod(num.neg(), mode);\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.isub(num);\n        }\n      }\n\n      return {\n        div: res.div,\n        mod: mod\n      };\n    }\n\n    // Both numbers are positive at this point\n\n    // Strip both numbers to approximate shift value\n    if (num.length > this.length || this.cmp(num) < 0) {\n      return {\n        div: new BN(0),\n        mod: this\n      };\n    }\n\n    // Very short reduction\n    if (num.length === 1) {\n      if (mode === 'div') {\n        return {\n          div: this.divn(num.words[0]),\n          mod: null\n        };\n      }\n\n      if (mode === 'mod') {\n        return {\n          div: null,\n          mod: new BN(this.modn(num.words[0]))\n        };\n      }\n\n      return {\n        div: this.divn(num.words[0]),\n        mod: new BN(this.modn(num.words[0]))\n      };\n    }\n\n    return this._wordDiv(num, mode);\n  };\n\n  // Find `this` / `num`\n  BN.prototype.div = function div (num) {\n    return this.divmod(num, 'div', false).div;\n  };\n\n  // Find `this` % `num`\n  BN.prototype.mod = function mod (num) {\n    return this.divmod(num, 'mod', false).mod;\n  };\n\n  BN.prototype.umod = function umod (num) {\n    return this.divmod(num, 'mod', true).mod;\n  };\n\n  // Find Round(`this` / `num`)\n  BN.prototype.divRound = function divRound (num) {\n    var dm = this.divmod(num);\n\n    // Fast case - exact division\n    if (dm.mod.isZero()) return dm.div;\n\n    var mod = dm.div.negative !== 0 ? dm.mod.isub(num) : dm.mod;\n\n    var half = num.ushrn(1);\n    var r2 = num.andln(1);\n    var cmp = mod.cmp(half);\n\n    // Round down\n    if (cmp < 0 || r2 === 1 && cmp === 0) return dm.div;\n\n    // Round up\n    return dm.div.negative !== 0 ? dm.div.isubn(1) : dm.div.iaddn(1);\n  };\n\n  BN.prototype.modn = function modn (num) {\n    assert(num <= 0x3ffffff);\n    var p = (1 << 26) % num;\n\n    var acc = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      acc = (p * acc + (this.words[i] | 0)) % num;\n    }\n\n    return acc;\n  };\n\n  // In-place division by number\n  BN.prototype.idivn = function idivn (num) {\n    assert(num <= 0x3ffffff);\n\n    var carry = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var w = (this.words[i] | 0) + carry * 0x4000000;\n      this.words[i] = (w / num) | 0;\n      carry = w % num;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.divn = function divn (num) {\n    return this.clone().idivn(num);\n  };\n\n  BN.prototype.egcd = function egcd (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var x = this;\n    var y = p.clone();\n\n    if (x.negative !== 0) {\n      x = x.umod(p);\n    } else {\n      x = x.clone();\n    }\n\n    // A * x + B * y = x\n    var A = new BN(1);\n    var B = new BN(0);\n\n    // C * x + D * y = y\n    var C = new BN(0);\n    var D = new BN(1);\n\n    var g = 0;\n\n    while (x.isEven() && y.isEven()) {\n      x.iushrn(1);\n      y.iushrn(1);\n      ++g;\n    }\n\n    var yp = y.clone();\n    var xp = x.clone();\n\n    while (!x.isZero()) {\n      for (var i = 0, im = 1; (x.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        x.iushrn(i);\n        while (i-- > 0) {\n          if (A.isOdd() || B.isOdd()) {\n            A.iadd(yp);\n            B.isub(xp);\n          }\n\n          A.iushrn(1);\n          B.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (y.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        y.iushrn(j);\n        while (j-- > 0) {\n          if (C.isOdd() || D.isOdd()) {\n            C.iadd(yp);\n            D.isub(xp);\n          }\n\n          C.iushrn(1);\n          D.iushrn(1);\n        }\n      }\n\n      if (x.cmp(y) >= 0) {\n        x.isub(y);\n        A.isub(C);\n        B.isub(D);\n      } else {\n        y.isub(x);\n        C.isub(A);\n        D.isub(B);\n      }\n    }\n\n    return {\n      a: C,\n      b: D,\n      gcd: y.iushln(g)\n    };\n  };\n\n  // This is reduced incarnation of the binary EEA\n  // above, designated to invert members of the\n  // _prime_ fields F(p) at a maximal speed\n  BN.prototype._invmp = function _invmp (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var a = this;\n    var b = p.clone();\n\n    if (a.negative !== 0) {\n      a = a.umod(p);\n    } else {\n      a = a.clone();\n    }\n\n    var x1 = new BN(1);\n    var x2 = new BN(0);\n\n    var delta = b.clone();\n\n    while (a.cmpn(1) > 0 && b.cmpn(1) > 0) {\n      for (var i = 0, im = 1; (a.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        a.iushrn(i);\n        while (i-- > 0) {\n          if (x1.isOdd()) {\n            x1.iadd(delta);\n          }\n\n          x1.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (b.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        b.iushrn(j);\n        while (j-- > 0) {\n          if (x2.isOdd()) {\n            x2.iadd(delta);\n          }\n\n          x2.iushrn(1);\n        }\n      }\n\n      if (a.cmp(b) >= 0) {\n        a.isub(b);\n        x1.isub(x2);\n      } else {\n        b.isub(a);\n        x2.isub(x1);\n      }\n    }\n\n    var res;\n    if (a.cmpn(1) === 0) {\n      res = x1;\n    } else {\n      res = x2;\n    }\n\n    if (res.cmpn(0) < 0) {\n      res.iadd(p);\n    }\n\n    return res;\n  };\n\n  BN.prototype.gcd = function gcd (num) {\n    if (this.isZero()) return num.abs();\n    if (num.isZero()) return this.abs();\n\n    var a = this.clone();\n    var b = num.clone();\n    a.negative = 0;\n    b.negative = 0;\n\n    // Remove common factor of two\n    for (var shift = 0; a.isEven() && b.isEven(); shift++) {\n      a.iushrn(1);\n      b.iushrn(1);\n    }\n\n    do {\n      while (a.isEven()) {\n        a.iushrn(1);\n      }\n      while (b.isEven()) {\n        b.iushrn(1);\n      }\n\n      var r = a.cmp(b);\n      if (r < 0) {\n        // Swap `a` and `b` to make `a` always bigger than `b`\n        var t = a;\n        a = b;\n        b = t;\n      } else if (r === 0 || b.cmpn(1) === 0) {\n        break;\n      }\n\n      a.isub(b);\n    } while (true);\n\n    return b.iushln(shift);\n  };\n\n  // Invert number in the field F(num)\n  BN.prototype.invm = function invm (num) {\n    return this.egcd(num).a.umod(num);\n  };\n\n  BN.prototype.isEven = function isEven () {\n    return (this.words[0] & 1) === 0;\n  };\n\n  BN.prototype.isOdd = function isOdd () {\n    return (this.words[0] & 1) === 1;\n  };\n\n  // And first word and num\n  BN.prototype.andln = function andln (num) {\n    return this.words[0] & num;\n  };\n\n  // Increment at the bit position in-line\n  BN.prototype.bincn = function bincn (bit) {\n    assert(typeof bit === 'number');\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) {\n      this._expand(s + 1);\n      this.words[s] |= q;\n      return this;\n    }\n\n    // Add bit and propagate, if needed\n    var carry = q;\n    for (var i = s; carry !== 0 && i < this.length; i++) {\n      var w = this.words[i] | 0;\n      w += carry;\n      carry = w >>> 26;\n      w &= 0x3ffffff;\n      this.words[i] = w;\n    }\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n    return this;\n  };\n\n  BN.prototype.isZero = function isZero () {\n    return this.length === 1 && this.words[0] === 0;\n  };\n\n  BN.prototype.cmpn = function cmpn (num) {\n    var negative = num < 0;\n\n    if (this.negative !== 0 && !negative) return -1;\n    if (this.negative === 0 && negative) return 1;\n\n    this.strip();\n\n    var res;\n    if (this.length > 1) {\n      res = 1;\n    } else {\n      if (negative) {\n        num = -num;\n      }\n\n      assert(num <= 0x3ffffff, 'Number is too big');\n\n      var w = this.words[0] | 0;\n      res = w === num ? 0 : w < num ? -1 : 1;\n    }\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Compare two numbers and return:\n  // 1 - if `this` > `num`\n  // 0 - if `this` == `num`\n  // -1 - if `this` < `num`\n  BN.prototype.cmp = function cmp (num) {\n    if (this.negative !== 0 && num.negative === 0) return -1;\n    if (this.negative === 0 && num.negative !== 0) return 1;\n\n    var res = this.ucmp(num);\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Unsigned comparison\n  BN.prototype.ucmp = function ucmp (num) {\n    // At this point both numbers have the same sign\n    if (this.length > num.length) return 1;\n    if (this.length < num.length) return -1;\n\n    var res = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var a = this.words[i] | 0;\n      var b = num.words[i] | 0;\n\n      if (a === b) continue;\n      if (a < b) {\n        res = -1;\n      } else if (a > b) {\n        res = 1;\n      }\n      break;\n    }\n    return res;\n  };\n\n  BN.prototype.gtn = function gtn (num) {\n    return this.cmpn(num) === 1;\n  };\n\n  BN.prototype.gt = function gt (num) {\n    return this.cmp(num) === 1;\n  };\n\n  BN.prototype.gten = function gten (num) {\n    return this.cmpn(num) >= 0;\n  };\n\n  BN.prototype.gte = function gte (num) {\n    return this.cmp(num) >= 0;\n  };\n\n  BN.prototype.ltn = function ltn (num) {\n    return this.cmpn(num) === -1;\n  };\n\n  BN.prototype.lt = function lt (num) {\n    return this.cmp(num) === -1;\n  };\n\n  BN.prototype.lten = function lten (num) {\n    return this.cmpn(num) <= 0;\n  };\n\n  BN.prototype.lte = function lte (num) {\n    return this.cmp(num) <= 0;\n  };\n\n  BN.prototype.eqn = function eqn (num) {\n    return this.cmpn(num) === 0;\n  };\n\n  BN.prototype.eq = function eq (num) {\n    return this.cmp(num) === 0;\n  };\n\n  //\n  // A reduce context, could be using montgomery or something better, depending\n  // on the `m` itself.\n  //\n  BN.red = function red (num) {\n    return new Red(num);\n  };\n\n  BN.prototype.toRed = function toRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    assert(this.negative === 0, 'red works only with positives');\n    return ctx.convertTo(this)._forceRed(ctx);\n  };\n\n  BN.prototype.fromRed = function fromRed () {\n    assert(this.red, 'fromRed works only with numbers in reduction context');\n    return this.red.convertFrom(this);\n  };\n\n  BN.prototype._forceRed = function _forceRed (ctx) {\n    this.red = ctx;\n    return this;\n  };\n\n  BN.prototype.forceRed = function forceRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    return this._forceRed(ctx);\n  };\n\n  BN.prototype.redAdd = function redAdd (num) {\n    assert(this.red, 'redAdd works only with red numbers');\n    return this.red.add(this, num);\n  };\n\n  BN.prototype.redIAdd = function redIAdd (num) {\n    assert(this.red, 'redIAdd works only with red numbers');\n    return this.red.iadd(this, num);\n  };\n\n  BN.prototype.redSub = function redSub (num) {\n    assert(this.red, 'redSub works only with red numbers');\n    return this.red.sub(this, num);\n  };\n\n  BN.prototype.redISub = function redISub (num) {\n    assert(this.red, 'redISub works only with red numbers');\n    return this.red.isub(this, num);\n  };\n\n  BN.prototype.redShl = function redShl (num) {\n    assert(this.red, 'redShl works only with red numbers');\n    return this.red.shl(this, num);\n  };\n\n  BN.prototype.redMul = function redMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.mul(this, num);\n  };\n\n  BN.prototype.redIMul = function redIMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.imul(this, num);\n  };\n\n  BN.prototype.redSqr = function redSqr () {\n    assert(this.red, 'redSqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqr(this);\n  };\n\n  BN.prototype.redISqr = function redISqr () {\n    assert(this.red, 'redISqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.isqr(this);\n  };\n\n  // Square root over p\n  BN.prototype.redSqrt = function redSqrt () {\n    assert(this.red, 'redSqrt works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqrt(this);\n  };\n\n  BN.prototype.redInvm = function redInvm () {\n    assert(this.red, 'redInvm works only with red numbers');\n    this.red._verify1(this);\n    return this.red.invm(this);\n  };\n\n  // Return negative clone of `this` % `red modulo`\n  BN.prototype.redNeg = function redNeg () {\n    assert(this.red, 'redNeg works only with red numbers');\n    this.red._verify1(this);\n    return this.red.neg(this);\n  };\n\n  BN.prototype.redPow = function redPow (num) {\n    assert(this.red && !num.red, 'redPow(normalNum)');\n    this.red._verify1(this);\n    return this.red.pow(this, num);\n  };\n\n  // Prime numbers with efficient reduction\n  var primes = {\n    k256: null,\n    p224: null,\n    p192: null,\n    p25519: null\n  };\n\n  // Pseudo-Mersenne prime\n  function MPrime (name, p) {\n    // P = 2 ^ N - K\n    this.name = name;\n    this.p = new BN(p, 16);\n    this.n = this.p.bitLength();\n    this.k = new BN(1).iushln(this.n).isub(this.p);\n\n    this.tmp = this._tmp();\n  }\n\n  MPrime.prototype._tmp = function _tmp () {\n    var tmp = new BN(null);\n    tmp.words = new Array(Math.ceil(this.n / 13));\n    return tmp;\n  };\n\n  MPrime.prototype.ireduce = function ireduce (num) {\n    // Assumes that `num` is less than `P^2`\n    // num = HI * (2 ^ N - K) + HI * K + LO = HI * K + LO (mod P)\n    var r = num;\n    var rlen;\n\n    do {\n      this.split(r, this.tmp);\n      r = this.imulK(r);\n      r = r.iadd(this.tmp);\n      rlen = r.bitLength();\n    } while (rlen > this.n);\n\n    var cmp = rlen < this.n ? -1 : r.ucmp(this.p);\n    if (cmp === 0) {\n      r.words[0] = 0;\n      r.length = 1;\n    } else if (cmp > 0) {\n      r.isub(this.p);\n    } else {\n      r.strip();\n    }\n\n    return r;\n  };\n\n  MPrime.prototype.split = function split (input, out) {\n    input.iushrn(this.n, 0, out);\n  };\n\n  MPrime.prototype.imulK = function imulK (num) {\n    return num.imul(this.k);\n  };\n\n  function K256 () {\n    MPrime.call(\n      this,\n      'k256',\n      'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f');\n  }\n  inherits(K256, MPrime);\n\n  K256.prototype.split = function split (input, output) {\n    // 256 = 9 * 26 + 22\n    var mask = 0x3fffff;\n\n    var outLen = Math.min(input.length, 9);\n    for (var i = 0; i < outLen; i++) {\n      output.words[i] = input.words[i];\n    }\n    output.length = outLen;\n\n    if (input.length <= 9) {\n      input.words[0] = 0;\n      input.length = 1;\n      return;\n    }\n\n    // Shift by 9 limbs\n    var prev = input.words[9];\n    output.words[output.length++] = prev & mask;\n\n    for (i = 10; i < input.length; i++) {\n      var next = input.words[i] | 0;\n      input.words[i - 10] = ((next & mask) << 4) | (prev >>> 22);\n      prev = next;\n    }\n    prev >>>= 22;\n    input.words[i - 10] = prev;\n    if (prev === 0 && input.length > 10) {\n      input.length -= 10;\n    } else {\n      input.length -= 9;\n    }\n  };\n\n  K256.prototype.imulK = function imulK (num) {\n    // K = 0x1000003d1 = [ 0x40, 0x3d1 ]\n    num.words[num.length] = 0;\n    num.words[num.length + 1] = 0;\n    num.length += 2;\n\n    // bounded at: 0x40 * 0x3ffffff + 0x3d0 = 0x100000390\n    var lo = 0;\n    for (var i = 0; i < num.length; i++) {\n      var w = num.words[i] | 0;\n      lo += w * 0x3d1;\n      num.words[i] = lo & 0x3ffffff;\n      lo = w * 0x40 + ((lo / 0x4000000) | 0);\n    }\n\n    // Fast length reduction\n    if (num.words[num.length - 1] === 0) {\n      num.length--;\n      if (num.words[num.length - 1] === 0) {\n        num.length--;\n      }\n    }\n    return num;\n  };\n\n  function P224 () {\n    MPrime.call(\n      this,\n      'p224',\n      'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001');\n  }\n  inherits(P224, MPrime);\n\n  function P192 () {\n    MPrime.call(\n      this,\n      'p192',\n      'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff');\n  }\n  inherits(P192, MPrime);\n\n  function P25519 () {\n    // 2 ^ 255 - 19\n    MPrime.call(\n      this,\n      '25519',\n      '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed');\n  }\n  inherits(P25519, MPrime);\n\n  P25519.prototype.imulK = function imulK (num) {\n    // K = 0x13\n    var carry = 0;\n    for (var i = 0; i < num.length; i++) {\n      var hi = (num.words[i] | 0) * 0x13 + carry;\n      var lo = hi & 0x3ffffff;\n      hi >>>= 26;\n\n      num.words[i] = lo;\n      carry = hi;\n    }\n    if (carry !== 0) {\n      num.words[num.length++] = carry;\n    }\n    return num;\n  };\n\n  // Exported mostly for testing purposes, use plain name instead\n  BN._prime = function prime (name) {\n    // Cached version of prime\n    if (primes[name]) return primes[name];\n\n    var prime;\n    if (name === 'k256') {\n      prime = new K256();\n    } else if (name === 'p224') {\n      prime = new P224();\n    } else if (name === 'p192') {\n      prime = new P192();\n    } else if (name === 'p25519') {\n      prime = new P25519();\n    } else {\n      throw new Error('Unknown prime ' + name);\n    }\n    primes[name] = prime;\n\n    return prime;\n  };\n\n  //\n  // Base reduction engine\n  //\n  function Red (m) {\n    if (typeof m === 'string') {\n      var prime = BN._prime(m);\n      this.m = prime.p;\n      this.prime = prime;\n    } else {\n      assert(m.gtn(1), 'modulus must be greater than 1');\n      this.m = m;\n      this.prime = null;\n    }\n  }\n\n  Red.prototype._verify1 = function _verify1 (a) {\n    assert(a.negative === 0, 'red works only with positives');\n    assert(a.red, 'red works only with red numbers');\n  };\n\n  Red.prototype._verify2 = function _verify2 (a, b) {\n    assert((a.negative | b.negative) === 0, 'red works only with positives');\n    assert(a.red && a.red === b.red,\n      'red works only with red numbers');\n  };\n\n  Red.prototype.imod = function imod (a) {\n    if (this.prime) return this.prime.ireduce(a)._forceRed(this);\n    return a.umod(this.m)._forceRed(this);\n  };\n\n  Red.prototype.neg = function neg (a) {\n    if (a.isZero()) {\n      return a.clone();\n    }\n\n    return this.m.sub(a)._forceRed(this);\n  };\n\n  Red.prototype.add = function add (a, b) {\n    this._verify2(a, b);\n\n    var res = a.add(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.iadd = function iadd (a, b) {\n    this._verify2(a, b);\n\n    var res = a.iadd(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.sub = function sub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.sub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.isub = function isub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.isub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.shl = function shl (a, num) {\n    this._verify1(a);\n    return this.imod(a.ushln(num));\n  };\n\n  Red.prototype.imul = function imul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.imul(b));\n  };\n\n  Red.prototype.mul = function mul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.mul(b));\n  };\n\n  Red.prototype.isqr = function isqr (a) {\n    return this.imul(a, a.clone());\n  };\n\n  Red.prototype.sqr = function sqr (a) {\n    return this.mul(a, a);\n  };\n\n  Red.prototype.sqrt = function sqrt (a) {\n    if (a.isZero()) return a.clone();\n\n    var mod3 = this.m.andln(3);\n    assert(mod3 % 2 === 1);\n\n    // Fast case\n    if (mod3 === 3) {\n      var pow = this.m.add(new BN(1)).iushrn(2);\n      return this.pow(a, pow);\n    }\n\n    // Tonelli-Shanks algorithm (Totally unoptimized and slow)\n    //\n    // Find Q and S, that Q * 2 ^ S = (P - 1)\n    var q = this.m.subn(1);\n    var s = 0;\n    while (!q.isZero() && q.andln(1) === 0) {\n      s++;\n      q.iushrn(1);\n    }\n    assert(!q.isZero());\n\n    var one = new BN(1).toRed(this);\n    var nOne = one.redNeg();\n\n    // Find quadratic non-residue\n    // NOTE: Max is such because of generalized Riemann hypothesis.\n    var lpow = this.m.subn(1).iushrn(1);\n    var z = this.m.bitLength();\n    z = new BN(2 * z * z).toRed(this);\n\n    while (this.pow(z, lpow).cmp(nOne) !== 0) {\n      z.redIAdd(nOne);\n    }\n\n    var c = this.pow(z, q);\n    var r = this.pow(a, q.addn(1).iushrn(1));\n    var t = this.pow(a, q);\n    var m = s;\n    while (t.cmp(one) !== 0) {\n      var tmp = t;\n      for (var i = 0; tmp.cmp(one) !== 0; i++) {\n        tmp = tmp.redSqr();\n      }\n      assert(i < m);\n      var b = this.pow(c, new BN(1).iushln(m - i - 1));\n\n      r = r.redMul(b);\n      c = b.redSqr();\n      t = t.redMul(c);\n      m = i;\n    }\n\n    return r;\n  };\n\n  Red.prototype.invm = function invm (a) {\n    var inv = a._invmp(this.m);\n    if (inv.negative !== 0) {\n      inv.negative = 0;\n      return this.imod(inv).redNeg();\n    } else {\n      return this.imod(inv);\n    }\n  };\n\n  Red.prototype.pow = function pow (a, num) {\n    if (num.isZero()) return new BN(1).toRed(this);\n    if (num.cmpn(1) === 0) return a.clone();\n\n    var windowSize = 4;\n    var wnd = new Array(1 << windowSize);\n    wnd[0] = new BN(1).toRed(this);\n    wnd[1] = a;\n    for (var i = 2; i < wnd.length; i++) {\n      wnd[i] = this.mul(wnd[i - 1], a);\n    }\n\n    var res = wnd[0];\n    var current = 0;\n    var currentLen = 0;\n    var start = num.bitLength() % 26;\n    if (start === 0) {\n      start = 26;\n    }\n\n    for (i = num.length - 1; i >= 0; i--) {\n      var word = num.words[i];\n      for (var j = start - 1; j >= 0; j--) {\n        var bit = (word >> j) & 1;\n        if (res !== wnd[0]) {\n          res = this.sqr(res);\n        }\n\n        if (bit === 0 && current === 0) {\n          currentLen = 0;\n          continue;\n        }\n\n        current <<= 1;\n        current |= bit;\n        currentLen++;\n        if (currentLen !== windowSize && (i !== 0 || j !== 0)) continue;\n\n        res = this.mul(res, wnd[current]);\n        currentLen = 0;\n        current = 0;\n      }\n      start = 26;\n    }\n\n    return res;\n  };\n\n  Red.prototype.convertTo = function convertTo (num) {\n    var r = num.umod(this.m);\n\n    return r === num ? r.clone() : r;\n  };\n\n  Red.prototype.convertFrom = function convertFrom (num) {\n    var res = num.clone();\n    res.red = null;\n    return res;\n  };\n\n  //\n  // Montgomery method engine\n  //\n\n  BN.mont = function mont (num) {\n    return new Mont(num);\n  };\n\n  function Mont (m) {\n    Red.call(this, m);\n\n    this.shift = this.m.bitLength();\n    if (this.shift % 26 !== 0) {\n      this.shift += 26 - (this.shift % 26);\n    }\n\n    this.r = new BN(1).iushln(this.shift);\n    this.r2 = this.imod(this.r.sqr());\n    this.rinv = this.r._invmp(this.m);\n\n    this.minv = this.rinv.mul(this.r).isubn(1).div(this.m);\n    this.minv = this.minv.umod(this.r);\n    this.minv = this.r.sub(this.minv);\n  }\n  inherits(Mont, Red);\n\n  Mont.prototype.convertTo = function convertTo (num) {\n    return this.imod(num.ushln(this.shift));\n  };\n\n  Mont.prototype.convertFrom = function convertFrom (num) {\n    var r = this.imod(num.mul(this.rinv));\n    r.red = null;\n    return r;\n  };\n\n  Mont.prototype.imul = function imul (a, b) {\n    if (a.isZero() || b.isZero()) {\n      a.words[0] = 0;\n      a.length = 1;\n      return a;\n    }\n\n    var t = a.imul(b);\n    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);\n    var u = t.isub(c).iushrn(this.shift);\n    var res = u;\n\n    if (u.cmp(this.m) >= 0) {\n      res = u.isub(this.m);\n    } else if (u.cmpn(0) < 0) {\n      res = u.iadd(this.m);\n    }\n\n    return res._forceRed(this);\n  };\n\n  Mont.prototype.mul = function mul (a, b) {\n    if (a.isZero() || b.isZero()) return new BN(0)._forceRed(this);\n\n    var t = a.mul(b);\n    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);\n    var u = t.isub(c).iushrn(this.shift);\n    var res = u;\n    if (u.cmp(this.m) >= 0) {\n      res = u.isub(this.m);\n    } else if (u.cmpn(0) < 0) {\n      res = u.iadd(this.m);\n    }\n\n    return res._forceRed(this);\n  };\n\n  Mont.prototype.invm = function invm (a) {\n    // (AR)^-1 * R^2 = (A^-1 * R^-1) * R^2 = A^-1 * R\n    var res = this.imod(a._invmp(this.m).mul(this.r2));\n    return res._forceRed(this);\n  };\n})(typeof module === 'undefined' || module, this);\n\n},{\"buffer\":91}],83:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = boundary\n\nfunction boundary (cells) {\n  var i, j, k\n  var n = cells.length\n  var sz = 0\n  for (i = 0; i < n; ++i) {\n    sz += cells[i].length\n  }\n  var result = new Array(sz)\n  var ptr = 0\n  for (i = 0; i < n; ++i) {\n    var c = cells[i]\n    var d = c.length\n    for (j = 0; j < d; ++j) {\n      var b = result[ptr++] = new Array(d - 1)\n      var p = 0\n      for (k = 0; k < d; ++k) {\n        if (k === j) {\n          continue\n        }\n        b[p++] = c[k]\n      }\n      if (j & 1) {\n        var tmp = b[1]\n        b[1] = b[0]\n        b[0] = tmp\n      }\n    }\n  }\n  return result\n}\n\n},{}],84:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = boxIntersectWrapper\n\nvar pool = _dereq_('typedarray-pool')\nvar sweep = _dereq_('./lib/sweep')\nvar boxIntersectIter = _dereq_('./lib/intersect')\n\nfunction boxEmpty(d, box) {\n  for(var j=0; j<d; ++j) {\n    if(!(box[j] <= box[j+d])) {\n      return true\n    }\n  }\n  return false\n}\n\n//Unpack boxes into a flat typed array, remove empty boxes\nfunction convertBoxes(boxes, d, data, ids) {\n  var ptr = 0\n  var count = 0\n  for(var i=0, n=boxes.length; i<n; ++i) {\n    var b = boxes[i]\n    if(boxEmpty(d, b)) {\n      continue\n    }\n    for(var j=0; j<2*d; ++j) {\n      data[ptr++] = b[j]\n    }\n    ids[count++] = i\n  }\n  return count\n}\n\n//Perform type conversions, check bounds\nfunction boxIntersect(red, blue, visit, full) {\n  var n = red.length\n  var m = blue.length\n\n  //If either array is empty, then we can skip this whole thing\n  if(n <= 0 || m <= 0) {\n    return\n  }\n\n  //Compute dimension, if it is 0 then we skip\n  var d = (red[0].length)>>>1\n  if(d <= 0) {\n    return\n  }\n\n  var retval\n\n  //Convert red boxes\n  var redList  = pool.mallocDouble(2*d*n)\n  var redIds   = pool.mallocInt32(n)\n  n = convertBoxes(red, d, redList, redIds)\n\n  if(n > 0) {\n    if(d === 1 && full) {\n      //Special case: 1d complete\n      sweep.init(n)\n      retval = sweep.sweepComplete(\n        d, visit, \n        0, n, redList, redIds,\n        0, n, redList, redIds)\n    } else {\n\n      //Convert blue boxes\n      var blueList = pool.mallocDouble(2*d*m)\n      var blueIds  = pool.mallocInt32(m)\n      m = convertBoxes(blue, d, blueList, blueIds)\n\n      if(m > 0) {\n        sweep.init(n+m)\n\n        if(d === 1) {\n          //Special case: 1d bipartite\n          retval = sweep.sweepBipartite(\n            d, visit, \n            0, n, redList,  redIds,\n            0, m, blueList, blueIds)\n        } else {\n          //General case:  d>1\n          retval = boxIntersectIter(\n            d, visit,    full,\n            n, redList,  redIds,\n            m, blueList, blueIds)\n        }\n\n        pool.free(blueList)\n        pool.free(blueIds)\n      }\n    }\n\n    pool.free(redList)\n    pool.free(redIds)\n  }\n\n  return retval\n}\n\n\nvar RESULT\n\nfunction appendItem(i,j) {\n  RESULT.push([i,j])\n}\n\nfunction intersectFullArray(x) {\n  RESULT = []\n  boxIntersect(x, x, appendItem, true)\n  return RESULT\n}\n\nfunction intersectBipartiteArray(x, y) {\n  RESULT = []\n  boxIntersect(x, y, appendItem, false)\n  return RESULT\n}\n\n//User-friendly wrapper, handle full input and no-visitor cases\nfunction boxIntersectWrapper(arg0, arg1, arg2) {\n  var result\n  switch(arguments.length) {\n    case 1:\n      return intersectFullArray(arg0)\n    case 2:\n      if(typeof arg1 === 'function') {\n        return boxIntersect(arg0, arg0, arg1, true)\n      } else {\n        return intersectBipartiteArray(arg0, arg1)\n      }\n    case 3:\n      return boxIntersect(arg0, arg1, arg2, false)\n    default:\n      throw new Error('box-intersect: Invalid arguments')\n  }\n}\n},{\"./lib/intersect\":86,\"./lib/sweep\":90,\"typedarray-pool\":522}],85:[function(_dereq_,module,exports){\n'use strict'\n\nvar DIMENSION   = 'd'\nvar AXIS        = 'ax'\nvar VISIT       = 'vv'\nvar FLIP        = 'fp'\n\nvar ELEM_SIZE   = 'es'\n\nvar RED_START   = 'rs'\nvar RED_END     = 're'\nvar RED_BOXES   = 'rb'\nvar RED_INDEX   = 'ri'\nvar RED_PTR     = 'rp'\n\nvar BLUE_START  = 'bs'\nvar BLUE_END    = 'be'\nvar BLUE_BOXES  = 'bb'\nvar BLUE_INDEX  = 'bi'\nvar BLUE_PTR    = 'bp'\n\nvar RETVAL      = 'rv'\n\nvar INNER_LABEL = 'Q'\n\nvar ARGS = [\n  DIMENSION,\n  AXIS,\n  VISIT,\n  RED_START,\n  RED_END,\n  RED_BOXES,\n  RED_INDEX,\n  BLUE_START,\n  BLUE_END,\n  BLUE_BOXES,\n  BLUE_INDEX\n]\n\nfunction generateBruteForce(redMajor, flip, full) {\n  var funcName = 'bruteForce' + \n    (redMajor ? 'Red' : 'Blue') + \n    (flip ? 'Flip' : '') +\n    (full ? 'Full' : '')\n\n  var code = ['function ', funcName, '(', ARGS.join(), '){',\n    'var ', ELEM_SIZE, '=2*', DIMENSION, ';']\n\n  var redLoop = \n    'for(var i=' + RED_START + ',' + RED_PTR + '=' + ELEM_SIZE + '*' + RED_START + ';' +\n        'i<' + RED_END +';' +\n        '++i,' + RED_PTR + '+=' + ELEM_SIZE + '){' +\n        'var x0=' + RED_BOXES + '[' + AXIS + '+' + RED_PTR + '],' +\n            'x1=' + RED_BOXES + '[' + AXIS + '+' + RED_PTR + '+' + DIMENSION + '],' +\n            'xi=' + RED_INDEX + '[i];'\n\n  var blueLoop = \n    'for(var j=' + BLUE_START + ',' + BLUE_PTR + '=' + ELEM_SIZE + '*' + BLUE_START + ';' +\n        'j<' + BLUE_END + ';' +\n        '++j,' + BLUE_PTR + '+=' + ELEM_SIZE + '){' +\n        'var y0=' + BLUE_BOXES + '[' + AXIS + '+' + BLUE_PTR + '],' +\n            (full ? 'y1=' + BLUE_BOXES + '[' + AXIS + '+' + BLUE_PTR + '+' + DIMENSION + '],' : '') +\n            'yi=' + BLUE_INDEX + '[j];'\n\n  if(redMajor) {\n    code.push(redLoop, INNER_LABEL, ':', blueLoop)\n  } else {\n    code.push(blueLoop, INNER_LABEL, ':', redLoop)\n  }\n\n  if(full) {\n    code.push('if(y1<x0||x1<y0)continue;')\n  } else if(flip) {\n    code.push('if(y0<=x0||x1<y0)continue;')\n  } else {\n    code.push('if(y0<x0||x1<y0)continue;')\n  }\n\n  code.push('for(var k='+AXIS+'+1;k<'+DIMENSION+';++k){'+\n    'var r0='+RED_BOXES+'[k+'+RED_PTR+'],'+\n        'r1='+RED_BOXES+'[k+'+DIMENSION+'+'+RED_PTR+'],'+\n        'b0='+BLUE_BOXES+'[k+'+BLUE_PTR+'],'+\n        'b1='+BLUE_BOXES+'[k+'+DIMENSION+'+'+BLUE_PTR+'];'+\n      'if(r1<b0||b1<r0)continue ' + INNER_LABEL + ';}' +\n      'var ' + RETVAL + '=' + VISIT + '(')\n\n  if(flip) {\n    code.push('yi,xi')\n  } else {\n    code.push('xi,yi')\n  }\n\n  code.push(');if(' + RETVAL + '!==void 0)return ' + RETVAL + ';}}}')\n\n  return {\n    name: funcName, \n    code: code.join('')\n  }\n}\n\nfunction bruteForcePlanner(full) {\n  var funcName = 'bruteForce' + (full ? 'Full' : 'Partial')\n  var prefix = []\n  var fargs = ARGS.slice()\n  if(!full) {\n    fargs.splice(3, 0, FLIP)\n  }\n\n  var code = ['function ' + funcName + '(' + fargs.join() + '){']\n\n  function invoke(redMajor, flip) {\n    var res = generateBruteForce(redMajor, flip, full)\n    prefix.push(res.code)\n    code.push('return ' + res.name + '(' + ARGS.join() + ');')\n  }\n\n  code.push('if(' + RED_END + '-' + RED_START + '>' +\n                    BLUE_END + '-' + BLUE_START + '){')\n\n  if(full) {\n    invoke(true, false)\n    code.push('}else{')\n    invoke(false, false)\n  } else {\n    code.push('if(' + FLIP + '){')\n    invoke(true, true)\n    code.push('}else{')\n    invoke(true, false)\n    code.push('}}else{if(' + FLIP + '){')\n    invoke(false, true)\n    code.push('}else{')\n    invoke(false, false)\n    code.push('}')\n  }\n  code.push('}}return ' + funcName)\n\n  var codeStr = prefix.join('') + code.join('')\n  var proc = new Function(codeStr)\n  return proc()\n}\n\n\nexports.partial = bruteForcePlanner(false)\nexports.full    = bruteForcePlanner(true)\n},{}],86:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = boxIntersectIter\n\nvar pool = _dereq_('typedarray-pool')\nvar bits = _dereq_('bit-twiddle')\nvar bruteForce = _dereq_('./brute')\nvar bruteForcePartial = bruteForce.partial\nvar bruteForceFull = bruteForce.full\nvar sweep = _dereq_('./sweep')\nvar findMedian = _dereq_('./median')\nvar genPartition = _dereq_('./partition')\n\n//Twiddle parameters\nvar BRUTE_FORCE_CUTOFF    = 128       //Cut off for brute force search\nvar SCAN_CUTOFF           = (1<<22)   //Cut off for two way scan\nvar SCAN_COMPLETE_CUTOFF  = (1<<22)  \n\n//Partition functions\nvar partitionInteriorContainsInterval = genPartition(\n  '!(lo>=p0)&&!(p1>=hi)', \n  ['p0', 'p1'])\n\nvar partitionStartEqual = genPartition(\n  'lo===p0',\n  ['p0'])\n\nvar partitionStartLessThan = genPartition(\n  'lo<p0',\n  ['p0'])\n\nvar partitionEndLessThanEqual = genPartition(\n  'hi<=p0',\n  ['p0'])\n\nvar partitionContainsPoint = genPartition(\n  'lo<=p0&&p0<=hi',\n  ['p0'])\n\nvar partitionContainsPointProper = genPartition(\n  'lo<p0&&p0<=hi',\n  ['p0'])\n\n//Frame size for iterative loop\nvar IFRAME_SIZE = 6\nvar DFRAME_SIZE = 2\n\n//Data for box statck\nvar INIT_CAPACITY = 1024\nvar BOX_ISTACK  = pool.mallocInt32(INIT_CAPACITY)\nvar BOX_DSTACK  = pool.mallocDouble(INIT_CAPACITY)\n\n//Initialize iterative loop queue\nfunction iterInit(d, count) {\n  var levels = (8 * bits.log2(count+1) * (d+1))|0\n  var maxInts = bits.nextPow2(IFRAME_SIZE*levels)\n  if(BOX_ISTACK.length < maxInts) {\n    pool.free(BOX_ISTACK)\n    BOX_ISTACK = pool.mallocInt32(maxInts)\n  }\n  var maxDoubles = bits.nextPow2(DFRAME_SIZE*levels)\n  if(BOX_DSTACK < maxDoubles) {\n    pool.free(BOX_DSTACK)\n    BOX_DSTACK = pool.mallocDouble(maxDoubles)\n  }\n}\n\n//Append item to queue\nfunction iterPush(ptr,\n  axis, \n  redStart, redEnd, \n  blueStart, blueEnd, \n  state, \n  lo, hi) {\n\n  var iptr = IFRAME_SIZE * ptr\n  BOX_ISTACK[iptr]   = axis\n  BOX_ISTACK[iptr+1] = redStart\n  BOX_ISTACK[iptr+2] = redEnd\n  BOX_ISTACK[iptr+3] = blueStart\n  BOX_ISTACK[iptr+4] = blueEnd\n  BOX_ISTACK[iptr+5] = state\n\n  var dptr = DFRAME_SIZE * ptr\n  BOX_DSTACK[dptr]   = lo\n  BOX_DSTACK[dptr+1] = hi\n}\n\n//Special case:  Intersect single point with list of intervals\nfunction onePointPartial(\n  d, axis, visit, flip,\n  redStart, redEnd, red, redIndex,\n  blueOffset, blue, blueId) {\n\n  var elemSize = 2 * d\n  var bluePtr  = blueOffset * elemSize\n  var blueX    = blue[bluePtr + axis]\n\nred_loop:\n  for(var i=redStart, redPtr=redStart*elemSize; i<redEnd; ++i, redPtr+=elemSize) {\n    var r0 = red[redPtr+axis]\n    var r1 = red[redPtr+axis+d]\n    if(blueX < r0 || r1 < blueX) {\n      continue\n    }\n    if(flip && blueX === r0) {\n      continue\n    }\n    var redId = redIndex[i]\n    for(var j=axis+1; j<d; ++j) {\n      var r0 = red[redPtr+j]\n      var r1 = red[redPtr+j+d]\n      var b0 = blue[bluePtr+j]\n      var b1 = blue[bluePtr+j+d]\n      if(r1 < b0 || b1 < r0) {\n        continue red_loop\n      }\n    }\n    var retval\n    if(flip) {\n      retval = visit(blueId, redId)\n    } else {\n      retval = visit(redId, blueId)\n    }\n    if(retval !== void 0) {\n      return retval\n    }\n  }\n}\n\n//Special case:  Intersect one point with list of intervals\nfunction onePointFull(\n  d, axis, visit,\n  redStart, redEnd, red, redIndex,\n  blueOffset, blue, blueId) {\n\n  var elemSize = 2 * d\n  var bluePtr  = blueOffset * elemSize\n  var blueX    = blue[bluePtr + axis]\n\nred_loop:\n  for(var i=redStart, redPtr=redStart*elemSize; i<redEnd; ++i, redPtr+=elemSize) {\n    var redId = redIndex[i]\n    if(redId === blueId) {\n      continue\n    }\n    var r0 = red[redPtr+axis]\n    var r1 = red[redPtr+axis+d]\n    if(blueX < r0 || r1 < blueX) {\n      continue\n    }\n    for(var j=axis+1; j<d; ++j) {\n      var r0 = red[redPtr+j]\n      var r1 = red[redPtr+j+d]\n      var b0 = blue[bluePtr+j]\n      var b1 = blue[bluePtr+j+d]\n      if(r1 < b0 || b1 < r0) {\n        continue red_loop\n      }\n    }\n    var retval = visit(redId, blueId)\n    if(retval !== void 0) {\n      return retval\n    }\n  }\n}\n\n//The main box intersection routine\nfunction boxIntersectIter(\n  d, visit, initFull,\n  xSize, xBoxes, xIndex,\n  ySize, yBoxes, yIndex) {\n\n  //Reserve memory for stack\n  iterInit(d, xSize + ySize)\n\n  var top  = 0\n  var elemSize = 2 * d\n  var retval\n\n  iterPush(top++,\n      0,\n      0, xSize,\n      0, ySize,\n      initFull ? 16 : 0, \n      -Infinity, Infinity)\n  if(!initFull) {\n    iterPush(top++,\n      0,\n      0, ySize,\n      0, xSize,\n      1, \n      -Infinity, Infinity)\n  }\n\n  while(top > 0) {\n    top  -= 1\n\n    var iptr = top * IFRAME_SIZE\n    var axis      = BOX_ISTACK[iptr]\n    var redStart  = BOX_ISTACK[iptr+1]\n    var redEnd    = BOX_ISTACK[iptr+2]\n    var blueStart = BOX_ISTACK[iptr+3]\n    var blueEnd   = BOX_ISTACK[iptr+4]\n    var state     = BOX_ISTACK[iptr+5]\n\n    var dptr = top * DFRAME_SIZE\n    var lo        = BOX_DSTACK[dptr]\n    var hi        = BOX_DSTACK[dptr+1]\n\n    //Unpack state info\n    var flip      = (state & 1)\n    var full      = !!(state & 16)\n\n    //Unpack indices\n    var red       = xBoxes\n    var redIndex  = xIndex\n    var blue      = yBoxes\n    var blueIndex = yIndex\n    if(flip) {\n      red         = yBoxes\n      redIndex    = yIndex\n      blue        = xBoxes\n      blueIndex   = xIndex\n    }\n\n    if(state & 2) {\n      redEnd = partitionStartLessThan(\n        d, axis,\n        redStart, redEnd, red, redIndex,\n        hi)\n      if(redStart >= redEnd) {\n        continue\n      }\n    }\n    if(state & 4) {\n      redStart = partitionEndLessThanEqual(\n        d, axis,\n        redStart, redEnd, red, redIndex,\n        lo)\n      if(redStart >= redEnd) {\n        continue\n      }\n    }\n    \n    var redCount  = redEnd  - redStart\n    var blueCount = blueEnd - blueStart\n\n    if(full) {\n      if(d * redCount * (redCount + blueCount) < SCAN_COMPLETE_CUTOFF) {\n        retval = sweep.scanComplete(\n          d, axis, visit, \n          redStart, redEnd, red, redIndex,\n          blueStart, blueEnd, blue, blueIndex)\n        if(retval !== void 0) {\n          return retval\n        }\n        continue\n      }\n    } else {\n      if(d * Math.min(redCount, blueCount) < BRUTE_FORCE_CUTOFF) {\n        //If input small, then use brute force\n        retval = bruteForcePartial(\n            d, axis, visit, flip,\n            redStart,  redEnd,  red,  redIndex,\n            blueStart, blueEnd, blue, blueIndex)\n        if(retval !== void 0) {\n          return retval\n        }\n        continue\n      } else if(d * redCount * blueCount < SCAN_CUTOFF) {\n        //If input medium sized, then use sweep and prune\n        retval = sweep.scanBipartite(\n          d, axis, visit, flip, \n          redStart, redEnd, red, redIndex,\n          blueStart, blueEnd, blue, blueIndex)\n        if(retval !== void 0) {\n          return retval\n        }\n        continue\n      }\n    }\n    \n    //First, find all red intervals whose interior contains (lo,hi)\n    var red0 = partitionInteriorContainsInterval(\n      d, axis, \n      redStart, redEnd, red, redIndex,\n      lo, hi)\n\n    //Lower dimensional case\n    if(redStart < red0) {\n\n      if(d * (red0 - redStart) < BRUTE_FORCE_CUTOFF) {\n        //Special case for small inputs: use brute force\n        retval = bruteForceFull(\n          d, axis+1, visit,\n          redStart, red0, red, redIndex,\n          blueStart, blueEnd, blue, blueIndex)\n        if(retval !== void 0) {\n          return retval\n        }\n      } else if(axis === d-2) {\n        if(flip) {\n          retval = sweep.sweepBipartite(\n            d, visit,\n            blueStart, blueEnd, blue, blueIndex,\n            redStart, red0, red, redIndex)\n        } else {\n          retval = sweep.sweepBipartite(\n            d, visit,\n            redStart, red0, red, redIndex,\n            blueStart, blueEnd, blue, blueIndex)\n        }\n        if(retval !== void 0) {\n          return retval\n        }\n      } else {\n        iterPush(top++,\n          axis+1,\n          redStart, red0,\n          blueStart, blueEnd,\n          flip,\n          -Infinity, Infinity)\n        iterPush(top++,\n          axis+1,\n          blueStart, blueEnd,\n          redStart, red0,\n          flip^1,\n          -Infinity, Infinity)\n      }\n    }\n\n    //Divide and conquer phase\n    if(red0 < redEnd) {\n\n      //Cut blue into 3 parts:\n      //\n      //  Points < mid point\n      //  Points = mid point\n      //  Points > mid point\n      //\n      var blue0 = findMedian(\n        d, axis, \n        blueStart, blueEnd, blue, blueIndex)\n      var mid = blue[elemSize * blue0 + axis]\n      var blue1 = partitionStartEqual(\n        d, axis,\n        blue0, blueEnd, blue, blueIndex,\n        mid)\n\n      //Right case\n      if(blue1 < blueEnd) {\n        iterPush(top++,\n          axis,\n          red0, redEnd,\n          blue1, blueEnd,\n          (flip|4) + (full ? 16 : 0),\n          mid, hi)\n      }\n\n      //Left case\n      if(blueStart < blue0) {\n        iterPush(top++,\n          axis,\n          red0, redEnd,\n          blueStart, blue0,\n          (flip|2) + (full ? 16 : 0),\n          lo, mid)\n      }\n\n      //Center case (the hard part)\n      if(blue0 + 1 === blue1) {\n        //Optimization: Range with exactly 1 point, use a brute force scan\n        if(full) {\n          retval = onePointFull(\n            d, axis, visit,\n            red0, redEnd, red, redIndex,\n            blue0, blue, blueIndex[blue0])\n        } else {\n          retval = onePointPartial(\n            d, axis, visit, flip,\n            red0, redEnd, red, redIndex,\n            blue0, blue, blueIndex[blue0])\n        }\n        if(retval !== void 0) {\n          return retval\n        }\n      } else if(blue0 < blue1) {\n        var red1\n        if(full) {\n          //If full intersection, need to handle special case\n          red1 = partitionContainsPoint(\n            d, axis,\n            red0, redEnd, red, redIndex,\n            mid)\n          if(red0 < red1) {\n            var redX = partitionStartEqual(\n              d, axis,\n              red0, red1, red, redIndex,\n              mid)\n            if(axis === d-2) {\n              //Degenerate sweep intersection:\n              //  [red0, redX] with [blue0, blue1]\n              if(red0 < redX) {\n                retval = sweep.sweepComplete(\n                  d, visit,\n                  red0, redX, red, redIndex,\n                  blue0, blue1, blue, blueIndex)\n                if(retval !== void 0) {\n                  return retval\n                }\n              }\n\n              //Normal sweep intersection:\n              //  [redX, red1] with [blue0, blue1]\n              if(redX < red1) {\n                retval = sweep.sweepBipartite(\n                  d, visit,\n                  redX, red1, red, redIndex,\n                  blue0, blue1, blue, blueIndex)\n                if(retval !== void 0) {\n                  return retval\n                }\n              }\n            } else {\n              if(red0 < redX) {\n                iterPush(top++,\n                  axis+1,\n                  red0, redX,\n                  blue0, blue1,\n                  16,\n                  -Infinity, Infinity)\n              }\n              if(redX < red1) {\n                iterPush(top++,\n                  axis+1,\n                  redX, red1,\n                  blue0, blue1,\n                  0,\n                  -Infinity, Infinity)\n                iterPush(top++,\n                  axis+1,\n                  blue0, blue1,\n                  redX, red1,\n                  1,\n                  -Infinity, Infinity)\n              }\n            }\n          }\n        } else {\n          if(flip) {\n            red1 = partitionContainsPointProper(\n              d, axis,\n              red0, redEnd, red, redIndex,\n              mid)\n          } else {\n            red1 = partitionContainsPoint(\n              d, axis,\n              red0, redEnd, red, redIndex,\n              mid)\n          }\n          if(red0 < red1) {\n            if(axis === d-2) {\n              if(flip) {\n                retval = sweep.sweepBipartite(\n                  d, visit,\n                  blue0, blue1, blue, blueIndex,\n                  red0, red1, red, redIndex)\n              } else {\n                retval = sweep.sweepBipartite(\n                  d, visit,\n                  red0, red1, red, redIndex,\n                  blue0, blue1, blue, blueIndex)\n              }\n            } else {\n              iterPush(top++,\n                axis+1,\n                red0, red1,\n                blue0, blue1,\n                flip,\n                -Infinity, Infinity)\n              iterPush(top++,\n                axis+1,\n                blue0, blue1,\n                red0, red1,\n                flip^1,\n                -Infinity, Infinity)\n            }\n          }\n        }\n      }\n    }\n  }\n}\n},{\"./brute\":85,\"./median\":87,\"./partition\":88,\"./sweep\":90,\"bit-twiddle\":80,\"typedarray-pool\":522}],87:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = findMedian\n\nvar genPartition = _dereq_('./partition')\n\nvar partitionStartLessThan = genPartition('lo<p0', ['p0'])\n\nvar PARTITION_THRESHOLD = 8   //Cut off for using insertion sort in findMedian\n\n//Base case for median finding:  Use insertion sort\nfunction insertionSort(d, axis, start, end, boxes, ids) {\n  var elemSize = 2 * d\n  var boxPtr = elemSize * (start+1) + axis\n  for(var i=start+1; i<end; ++i, boxPtr+=elemSize) {\n    var x = boxes[boxPtr]\n    for(var j=i, ptr=elemSize*(i-1); \n        j>start && boxes[ptr+axis] > x; \n        --j, ptr-=elemSize) {\n      //Swap\n      var aPtr = ptr\n      var bPtr = ptr+elemSize\n      for(var k=0; k<elemSize; ++k, ++aPtr, ++bPtr) {\n        var y = boxes[aPtr]\n        boxes[aPtr] = boxes[bPtr]\n        boxes[bPtr] = y\n      }\n      var tmp = ids[j]\n      ids[j] = ids[j-1]\n      ids[j-1] = tmp\n    }\n  }\n}\n\n//Find median using quick select algorithm\n//  takes O(n) time with high probability\nfunction findMedian(d, axis, start, end, boxes, ids) {\n  if(end <= start+1) {\n    return start\n  }\n\n  var lo       = start\n  var hi       = end\n  var mid      = ((end + start) >>> 1)\n  var elemSize = 2*d\n  var pivot    = mid\n  var value    = boxes[elemSize*mid+axis]\n  \n  while(lo < hi) {\n    if(hi - lo < PARTITION_THRESHOLD) {\n      insertionSort(d, axis, lo, hi, boxes, ids)\n      value = boxes[elemSize*mid+axis]\n      break\n    }\n    \n    //Select pivot using median-of-3\n    var count  = hi - lo\n    var pivot0 = (Math.random()*count+lo)|0\n    var value0 = boxes[elemSize*pivot0 + axis]\n    var pivot1 = (Math.random()*count+lo)|0\n    var value1 = boxes[elemSize*pivot1 + axis]\n    var pivot2 = (Math.random()*count+lo)|0\n    var value2 = boxes[elemSize*pivot2 + axis]\n    if(value0 <= value1) {\n      if(value2 >= value1) {\n        pivot = pivot1\n        value = value1\n      } else if(value0 >= value2) {\n        pivot = pivot0\n        value = value0\n      } else {\n        pivot = pivot2\n        value = value2\n      }\n    } else {\n      if(value1 >= value2) {\n        pivot = pivot1\n        value = value1\n      } else if(value2 >= value0) {\n        pivot = pivot0\n        value = value0\n      } else {\n        pivot = pivot2\n        value = value2\n      }\n    }\n\n    //Swap pivot to end of array\n    var aPtr = elemSize * (hi-1)\n    var bPtr = elemSize * pivot\n    for(var i=0; i<elemSize; ++i, ++aPtr, ++bPtr) {\n      var x = boxes[aPtr]\n      boxes[aPtr] = boxes[bPtr]\n      boxes[bPtr] = x\n    }\n    var y = ids[hi-1]\n    ids[hi-1] = ids[pivot]\n    ids[pivot] = y\n\n    //Partition using pivot\n    pivot = partitionStartLessThan(\n      d, axis, \n      lo, hi-1, boxes, ids,\n      value)\n\n    //Swap pivot back\n    var aPtr = elemSize * (hi-1)\n    var bPtr = elemSize * pivot\n    for(var i=0; i<elemSize; ++i, ++aPtr, ++bPtr) {\n      var x = boxes[aPtr]\n      boxes[aPtr] = boxes[bPtr]\n      boxes[bPtr] = x\n    }\n    var y = ids[hi-1]\n    ids[hi-1] = ids[pivot]\n    ids[pivot] = y\n\n    //Swap pivot to last pivot\n    if(mid < pivot) {\n      hi = pivot-1\n      while(lo < hi && \n        boxes[elemSize*(hi-1)+axis] === value) {\n        hi -= 1\n      }\n      hi += 1\n    } else if(pivot < mid) {\n      lo = pivot + 1\n      while(lo < hi &&\n        boxes[elemSize*lo+axis] === value) {\n        lo += 1\n      }\n    } else {\n      break\n    }\n  }\n\n  //Make sure pivot is at start\n  return partitionStartLessThan(\n    d, axis, \n    start, mid, boxes, ids,\n    boxes[elemSize*mid+axis])\n}\n},{\"./partition\":88}],88:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = genPartition\n\nvar code = 'for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m'\n\nfunction genPartition(predicate, args) {\n  var fargs ='abcdef'.split('').concat(args)\n  var reads = []\n  if(predicate.indexOf('lo') >= 0) {\n    reads.push('lo=e[k+n]')\n  }\n  if(predicate.indexOf('hi') >= 0) {\n    reads.push('hi=e[k+o]')\n  }\n  fargs.push(\n    code.replace('_', reads.join())\n        .replace('$', predicate))\n  return Function.apply(void 0, fargs)\n}\n},{}],89:[function(_dereq_,module,exports){\n'use strict';\n\n//This code is extracted from ndarray-sort\n//It is inlined here as a temporary workaround\n\nmodule.exports = wrapper;\n\nvar INSERT_SORT_CUTOFF = 32\n\nfunction wrapper(data, n0) {\n  if (n0 <= 4*INSERT_SORT_CUTOFF) {\n    insertionSort(0, n0 - 1, data);\n  } else {\n    quickSort(0, n0 - 1, data);\n  }\n}\n\nfunction insertionSort(left, right, data) {\n  var ptr = 2*(left+1)\n  for(var i=left+1; i<=right; ++i) {\n    var a = data[ptr++]\n    var b = data[ptr++]\n    var j = i\n    var jptr = ptr-2\n    while(j-- > left) {\n      var x = data[jptr-2]\n      var y = data[jptr-1]\n      if(x < a) {\n        break\n      } else if(x === a && y < b) {\n        break\n      }\n      data[jptr]   = x\n      data[jptr+1] = y\n      jptr -= 2\n    }\n    data[jptr]   = a\n    data[jptr+1] = b\n  }\n}\n\nfunction swap(i, j, data) {\n  i *= 2\n  j *= 2\n  var x = data[i]\n  var y = data[i+1]\n  data[i] = data[j]\n  data[i+1] = data[j+1]\n  data[j] = x\n  data[j+1] = y\n}\n\nfunction move(i, j, data) {\n  i *= 2\n  j *= 2\n  data[i] = data[j]\n  data[i+1] = data[j+1]\n}\n\nfunction rotate(i, j, k, data) {\n  i *= 2\n  j *= 2\n  k *= 2\n  var x = data[i]\n  var y = data[i+1]\n  data[i] = data[j]\n  data[i+1] = data[j+1]\n  data[j] = data[k]\n  data[j+1] = data[k+1]\n  data[k] = x\n  data[k+1] = y\n}\n\nfunction shufflePivot(i, j, px, py, data) {\n  i *= 2\n  j *= 2\n  data[i] = data[j]\n  data[j] = px\n  data[i+1] = data[j+1]\n  data[j+1] = py\n}\n\nfunction compare(i, j, data) {\n  i *= 2\n  j *= 2\n  var x = data[i],\n      y = data[j]\n  if(x < y) {\n    return false\n  } else if(x === y) {\n    return data[i+1] > data[j+1]\n  }\n  return true\n}\n\nfunction comparePivot(i, y, b, data) {\n  i *= 2\n  var x = data[i]\n  if(x < y) {\n    return true\n  } else if(x === y) {\n    return data[i+1] < b\n  }\n  return false\n}\n\nfunction quickSort(left, right, data) {\n  var sixth = (right - left + 1) / 6 | 0, \n      index1 = left + sixth, \n      index5 = right - sixth, \n      index3 = left + right >> 1, \n      index2 = index3 - sixth, \n      index4 = index3 + sixth, \n      el1 = index1, \n      el2 = index2, \n      el3 = index3, \n      el4 = index4, \n      el5 = index5, \n      less = left + 1, \n      great = right - 1, \n      tmp = 0\n  if(compare(el1, el2, data)) {\n    tmp = el1\n    el1 = el2\n    el2 = tmp\n  }\n  if(compare(el4, el5, data)) {\n    tmp = el4\n    el4 = el5\n    el5 = tmp\n  }\n  if(compare(el1, el3, data)) {\n    tmp = el1\n    el1 = el3\n    el3 = tmp\n  }\n  if(compare(el2, el3, data)) {\n    tmp = el2\n    el2 = el3\n    el3 = tmp\n  }\n  if(compare(el1, el4, data)) {\n    tmp = el1\n    el1 = el4\n    el4 = tmp\n  }\n  if(compare(el3, el4, data)) {\n    tmp = el3\n    el3 = el4\n    el4 = tmp\n  }\n  if(compare(el2, el5, data)) {\n    tmp = el2\n    el2 = el5\n    el5 = tmp\n  }\n  if(compare(el2, el3, data)) {\n    tmp = el2\n    el2 = el3\n    el3 = tmp\n  }\n  if(compare(el4, el5, data)) {\n    tmp = el4\n    el4 = el5\n    el5 = tmp\n  }\n\n  var pivot1X = data[2*el2]\n  var pivot1Y = data[2*el2+1]\n  var pivot2X = data[2*el4]\n  var pivot2Y = data[2*el4+1]\n\n  var ptr0 = 2 * el1;\n  var ptr2 = 2 * el3;\n  var ptr4 = 2 * el5;\n  var ptr5 = 2 * index1;\n  var ptr6 = 2 * index3;\n  var ptr7 = 2 * index5;\n  for (var i1 = 0; i1 < 2; ++i1) {\n    var x = data[ptr0+i1];\n    var y = data[ptr2+i1];\n    var z = data[ptr4+i1];\n    data[ptr5+i1] = x;\n    data[ptr6+i1] = y;\n    data[ptr7+i1] = z;\n  }\n\n  move(index2, left, data)\n  move(index4, right, data)\n  for (var k = less; k <= great; ++k) {\n    if (comparePivot(k, pivot1X, pivot1Y, data)) {\n      if (k !== less) {\n        swap(k, less, data)\n      }\n      ++less;\n    } else {\n      if (!comparePivot(k, pivot2X, pivot2Y, data)) {\n        while (true) {\n          if (!comparePivot(great, pivot2X, pivot2Y, data)) {\n            if (--great < k) {\n              break;\n            }\n            continue;\n          } else {\n            if (comparePivot(great, pivot1X, pivot1Y, data)) {\n              rotate(k, less, great, data)\n              ++less;\n              --great;\n            } else {\n              swap(k, great, data)\n              --great;\n            }\n            break;\n          }\n        }\n      }\n    }\n  }\n  shufflePivot(left, less-1, pivot1X, pivot1Y, data)\n  shufflePivot(right, great+1, pivot2X, pivot2Y, data)\n  if (less - 2 - left <= INSERT_SORT_CUTOFF) {\n    insertionSort(left, less - 2, data);\n  } else {\n    quickSort(left, less - 2, data);\n  }\n  if (right - (great + 2) <= INSERT_SORT_CUTOFF) {\n    insertionSort(great + 2, right, data);\n  } else {\n    quickSort(great + 2, right, data);\n  }\n  if (great - less <= INSERT_SORT_CUTOFF) {\n    insertionSort(less, great, data);\n  } else {\n    quickSort(less, great, data);\n  }\n}\n},{}],90:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = {\n  init:           sqInit,\n  sweepBipartite: sweepBipartite,\n  sweepComplete:  sweepComplete,\n  scanBipartite:  scanBipartite,\n  scanComplete:   scanComplete\n}\n\nvar pool  = _dereq_('typedarray-pool')\nvar bits  = _dereq_('bit-twiddle')\nvar isort = _dereq_('./sort')\n\n//Flag for blue\nvar BLUE_FLAG = (1<<28)\n\n//1D sweep event queue stuff (use pool to save space)\nvar INIT_CAPACITY      = 1024\nvar RED_SWEEP_QUEUE    = pool.mallocInt32(INIT_CAPACITY)\nvar RED_SWEEP_INDEX    = pool.mallocInt32(INIT_CAPACITY)\nvar BLUE_SWEEP_QUEUE   = pool.mallocInt32(INIT_CAPACITY)\nvar BLUE_SWEEP_INDEX   = pool.mallocInt32(INIT_CAPACITY)\nvar COMMON_SWEEP_QUEUE = pool.mallocInt32(INIT_CAPACITY)\nvar COMMON_SWEEP_INDEX = pool.mallocInt32(INIT_CAPACITY)\nvar SWEEP_EVENTS       = pool.mallocDouble(INIT_CAPACITY * 8)\n\n//Reserves memory for the 1D sweep data structures\nfunction sqInit(count) {\n  var rcount = bits.nextPow2(count)\n  if(RED_SWEEP_QUEUE.length < rcount) {\n    pool.free(RED_SWEEP_QUEUE)\n    RED_SWEEP_QUEUE = pool.mallocInt32(rcount)\n  }\n  if(RED_SWEEP_INDEX.length < rcount) {\n    pool.free(RED_SWEEP_INDEX)\n    RED_SWEEP_INDEX = pool.mallocInt32(rcount)\n  }\n  if(BLUE_SWEEP_QUEUE.length < rcount) {\n    pool.free(BLUE_SWEEP_QUEUE)\n    BLUE_SWEEP_QUEUE = pool.mallocInt32(rcount)\n  }\n  if(BLUE_SWEEP_INDEX.length < rcount) {\n    pool.free(BLUE_SWEEP_INDEX)\n    BLUE_SWEEP_INDEX = pool.mallocInt32(rcount)\n  }\n  if(COMMON_SWEEP_QUEUE.length < rcount) {\n    pool.free(COMMON_SWEEP_QUEUE)\n    COMMON_SWEEP_QUEUE = pool.mallocInt32(rcount)\n  }\n  if(COMMON_SWEEP_INDEX.length < rcount) {\n    pool.free(COMMON_SWEEP_INDEX)\n    COMMON_SWEEP_INDEX = pool.mallocInt32(rcount)\n  }\n  var eventLength = 8 * rcount\n  if(SWEEP_EVENTS.length < eventLength) {\n    pool.free(SWEEP_EVENTS)\n    SWEEP_EVENTS = pool.mallocDouble(eventLength)\n  }\n}\n\n//Remove an item from the active queue in O(1)\nfunction sqPop(queue, index, count, item) {\n  var idx = index[item]\n  var top = queue[count-1]\n  queue[idx] = top\n  index[top] = idx\n}\n\n//Insert an item into the active queue in O(1)\nfunction sqPush(queue, index, count, item) {\n  queue[count] = item\n  index[item]  = count\n}\n\n//Recursion base case: use 1D sweep algorithm\nfunction sweepBipartite(\n    d, visit,\n    redStart,  redEnd, red, redIndex,\n    blueStart, blueEnd, blue, blueIndex) {\n\n  //store events as pairs [coordinate, idx]\n  //\n  //  red create:  -(idx+1)\n  //  red destroy: idx\n  //  blue create: -(idx+BLUE_FLAG)\n  //  blue destroy: idx+BLUE_FLAG\n  //\n  var ptr      = 0\n  var elemSize = 2*d\n  var istart   = d-1\n  var iend     = elemSize-1\n\n  for(var i=redStart; i<redEnd; ++i) {\n    var idx = redIndex[i]\n    var redOffset = elemSize*i\n    SWEEP_EVENTS[ptr++] = red[redOffset+istart]\n    SWEEP_EVENTS[ptr++] = -(idx+1)\n    SWEEP_EVENTS[ptr++] = red[redOffset+iend]\n    SWEEP_EVENTS[ptr++] = idx\n  }\n\n  for(var i=blueStart; i<blueEnd; ++i) {\n    var idx = blueIndex[i]+BLUE_FLAG\n    var blueOffset = elemSize*i\n    SWEEP_EVENTS[ptr++] = blue[blueOffset+istart]\n    SWEEP_EVENTS[ptr++] = -idx\n    SWEEP_EVENTS[ptr++] = blue[blueOffset+iend]\n    SWEEP_EVENTS[ptr++] = idx\n  }\n\n  //process events from left->right\n  var n = ptr >>> 1\n  isort(SWEEP_EVENTS, n)\n  \n  var redActive  = 0\n  var blueActive = 0\n  for(var i=0; i<n; ++i) {\n    var e = SWEEP_EVENTS[2*i+1]|0\n    if(e >= BLUE_FLAG) {\n      //blue destroy event\n      e = (e-BLUE_FLAG)|0\n      sqPop(BLUE_SWEEP_QUEUE, BLUE_SWEEP_INDEX, blueActive--, e)\n    } else if(e >= 0) {\n      //red destroy event\n      sqPop(RED_SWEEP_QUEUE, RED_SWEEP_INDEX, redActive--, e)\n    } else if(e <= -BLUE_FLAG) {\n      //blue create event\n      e = (-e-BLUE_FLAG)|0\n      for(var j=0; j<redActive; ++j) {\n        var retval = visit(RED_SWEEP_QUEUE[j], e)\n        if(retval !== void 0) {\n          return retval\n        }\n      }\n      sqPush(BLUE_SWEEP_QUEUE, BLUE_SWEEP_INDEX, blueActive++, e)\n    } else {\n      //red create event\n      e = (-e-1)|0\n      for(var j=0; j<blueActive; ++j) {\n        var retval = visit(e, BLUE_SWEEP_QUEUE[j])\n        if(retval !== void 0) {\n          return retval\n        }\n      }\n      sqPush(RED_SWEEP_QUEUE, RED_SWEEP_INDEX, redActive++, e)\n    }\n  }\n}\n\n//Complete sweep\nfunction sweepComplete(d, visit, \n  redStart, redEnd, red, redIndex,\n  blueStart, blueEnd, blue, blueIndex) {\n\n  var ptr      = 0\n  var elemSize = 2*d\n  var istart   = d-1\n  var iend     = elemSize-1\n\n  for(var i=redStart; i<redEnd; ++i) {\n    var idx = (redIndex[i]+1)<<1\n    var redOffset = elemSize*i\n    SWEEP_EVENTS[ptr++] = red[redOffset+istart]\n    SWEEP_EVENTS[ptr++] = -idx\n    SWEEP_EVENTS[ptr++] = red[redOffset+iend]\n    SWEEP_EVENTS[ptr++] = idx\n  }\n\n  for(var i=blueStart; i<blueEnd; ++i) {\n    var idx = (blueIndex[i]+1)<<1\n    var blueOffset = elemSize*i\n    SWEEP_EVENTS[ptr++] = blue[blueOffset+istart]\n    SWEEP_EVENTS[ptr++] = (-idx)|1\n    SWEEP_EVENTS[ptr++] = blue[blueOffset+iend]\n    SWEEP_EVENTS[ptr++] = idx|1\n  }\n\n  //process events from left->right\n  var n = ptr >>> 1\n  isort(SWEEP_EVENTS, n)\n  \n  var redActive    = 0\n  var blueActive   = 0\n  var commonActive = 0\n  for(var i=0; i<n; ++i) {\n    var e     = SWEEP_EVENTS[2*i+1]|0\n    var color = e&1\n    if(i < n-1 && (e>>1) === (SWEEP_EVENTS[2*i+3]>>1)) {\n      color = 2\n      i += 1\n    }\n    \n    if(e < 0) {\n      //Create event\n      var id = -(e>>1) - 1\n\n      //Intersect with common\n      for(var j=0; j<commonActive; ++j) {\n        var retval = visit(COMMON_SWEEP_QUEUE[j], id)\n        if(retval !== void 0) {\n          return retval\n        }\n      }\n\n      if(color !== 0) {\n        //Intersect with red\n        for(var j=0; j<redActive; ++j) {\n          var retval = visit(RED_SWEEP_QUEUE[j], id)\n          if(retval !== void 0) {\n            return retval\n          }\n        }\n      }\n\n      if(color !== 1) {\n        //Intersect with blue\n        for(var j=0; j<blueActive; ++j) {\n          var retval = visit(BLUE_SWEEP_QUEUE[j], id)\n          if(retval !== void 0) {\n            return retval\n          }\n        }\n      }\n\n      if(color === 0) {\n        //Red\n        sqPush(RED_SWEEP_QUEUE, RED_SWEEP_INDEX, redActive++, id)\n      } else if(color === 1) {\n        //Blue\n        sqPush(BLUE_SWEEP_QUEUE, BLUE_SWEEP_INDEX, blueActive++, id)\n      } else if(color === 2) {\n        //Both\n        sqPush(COMMON_SWEEP_QUEUE, COMMON_SWEEP_INDEX, commonActive++, id)\n      }\n    } else {\n      //Destroy event\n      var id = (e>>1) - 1\n      if(color === 0) {\n        //Red\n        sqPop(RED_SWEEP_QUEUE, RED_SWEEP_INDEX, redActive--, id)\n      } else if(color === 1) {\n        //Blue\n        sqPop(BLUE_SWEEP_QUEUE, BLUE_SWEEP_INDEX, blueActive--, id)\n      } else if(color === 2) {\n        //Both\n        sqPop(COMMON_SWEEP_QUEUE, COMMON_SWEEP_INDEX, commonActive--, id)\n      }\n    }\n  }\n}\n\n//Sweep and prune/scanline algorithm:\n//  Scan along axis, detect intersections\n//  Brute force all boxes along axis\nfunction scanBipartite(\n  d, axis, visit, flip,\n  redStart,  redEnd, red, redIndex,\n  blueStart, blueEnd, blue, blueIndex) {\n  \n  var ptr      = 0\n  var elemSize = 2*d\n  var istart   = axis\n  var iend     = axis+d\n\n  var redShift  = 1\n  var blueShift = 1\n  if(flip) {\n    blueShift = BLUE_FLAG\n  } else {\n    redShift  = BLUE_FLAG\n  }\n\n  for(var i=redStart; i<redEnd; ++i) {\n    var idx = i + redShift\n    var redOffset = elemSize*i\n    SWEEP_EVENTS[ptr++] = red[redOffset+istart]\n    SWEEP_EVENTS[ptr++] = -idx\n    SWEEP_EVENTS[ptr++] = red[redOffset+iend]\n    SWEEP_EVENTS[ptr++] = idx\n  }\n  for(var i=blueStart; i<blueEnd; ++i) {\n    var idx = i + blueShift\n    var blueOffset = elemSize*i\n    SWEEP_EVENTS[ptr++] = blue[blueOffset+istart]\n    SWEEP_EVENTS[ptr++] = -idx\n  }\n\n  //process events from left->right\n  var n = ptr >>> 1\n  isort(SWEEP_EVENTS, n)\n  \n  var redActive    = 0\n  for(var i=0; i<n; ++i) {\n    var e = SWEEP_EVENTS[2*i+1]|0\n    if(e < 0) {\n      var idx   = -e\n      var isRed = false\n      if(idx >= BLUE_FLAG) {\n        isRed = !flip\n        idx -= BLUE_FLAG \n      } else {\n        isRed = !!flip\n        idx -= 1\n      }\n      if(isRed) {\n        sqPush(RED_SWEEP_QUEUE, RED_SWEEP_INDEX, redActive++, idx)\n      } else {\n        var blueId  = blueIndex[idx]\n        var bluePtr = elemSize * idx\n        \n        var b0 = blue[bluePtr+axis+1]\n        var b1 = blue[bluePtr+axis+1+d]\n\nred_loop:\n        for(var j=0; j<redActive; ++j) {\n          var oidx   = RED_SWEEP_QUEUE[j]\n          var redPtr = elemSize * oidx\n\n          if(b1 < red[redPtr+axis+1] || \n             red[redPtr+axis+1+d] < b0) {\n            continue\n          }\n\n          for(var k=axis+2; k<d; ++k) {\n            if(blue[bluePtr + k + d] < red[redPtr + k] || \n               red[redPtr + k + d] < blue[bluePtr + k]) {\n              continue red_loop\n            }\n          }\n\n          var redId  = redIndex[oidx]\n          var retval\n          if(flip) {\n            retval = visit(blueId, redId)\n          } else {\n            retval = visit(redId, blueId)\n          }\n          if(retval !== void 0) {\n            return retval \n          }\n        }\n      }\n    } else {\n      sqPop(RED_SWEEP_QUEUE, RED_SWEEP_INDEX, redActive--, e - redShift)\n    }\n  }\n}\n\nfunction scanComplete(\n  d, axis, visit,\n  redStart,  redEnd, red, redIndex,\n  blueStart, blueEnd, blue, blueIndex) {\n\n  var ptr      = 0\n  var elemSize = 2*d\n  var istart   = axis\n  var iend     = axis+d\n\n  for(var i=redStart; i<redEnd; ++i) {\n    var idx = i + BLUE_FLAG\n    var redOffset = elemSize*i\n    SWEEP_EVENTS[ptr++] = red[redOffset+istart]\n    SWEEP_EVENTS[ptr++] = -idx\n    SWEEP_EVENTS[ptr++] = red[redOffset+iend]\n    SWEEP_EVENTS[ptr++] = idx\n  }\n  for(var i=blueStart; i<blueEnd; ++i) {\n    var idx = i + 1\n    var blueOffset = elemSize*i\n    SWEEP_EVENTS[ptr++] = blue[blueOffset+istart]\n    SWEEP_EVENTS[ptr++] = -idx\n  }\n\n  //process events from left->right\n  var n = ptr >>> 1\n  isort(SWEEP_EVENTS, n)\n  \n  var redActive    = 0\n  for(var i=0; i<n; ++i) {\n    var e = SWEEP_EVENTS[2*i+1]|0\n    if(e < 0) {\n      var idx   = -e\n      if(idx >= BLUE_FLAG) {\n        RED_SWEEP_QUEUE[redActive++] = idx - BLUE_FLAG\n      } else {\n        idx -= 1\n        var blueId  = blueIndex[idx]\n        var bluePtr = elemSize * idx\n\n        var b0 = blue[bluePtr+axis+1]\n        var b1 = blue[bluePtr+axis+1+d]\n\nred_loop:\n        for(var j=0; j<redActive; ++j) {\n          var oidx   = RED_SWEEP_QUEUE[j]\n          var redId  = redIndex[oidx]\n\n          if(redId === blueId) {\n            break\n          }\n\n          var redPtr = elemSize * oidx\n          if(b1 < red[redPtr+axis+1] || \n            red[redPtr+axis+1+d] < b0) {\n            continue\n          }\n          for(var k=axis+2; k<d; ++k) {\n            if(blue[bluePtr + k + d] < red[redPtr + k] || \n               red[redPtr + k + d]   < blue[bluePtr + k]) {\n              continue red_loop\n            }\n          }\n\n          var retval = visit(redId, blueId)\n          if(retval !== void 0) {\n            return retval \n          }\n        }\n      }\n    } else {\n      var idx = e - BLUE_FLAG\n      for(var j=redActive-1; j>=0; --j) {\n        if(RED_SWEEP_QUEUE[j] === idx) {\n          for(var k=j+1; k<redActive; ++k) {\n            RED_SWEEP_QUEUE[k-1] = RED_SWEEP_QUEUE[k]\n          }\n          break\n        }\n      }\n      --redActive\n    }\n  }\n}\n},{\"./sort\":89,\"bit-twiddle\":80,\"typedarray-pool\":522}],91:[function(_dereq_,module,exports){\n\n},{}],92:[function(_dereq_,module,exports){\n// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nvar objectCreate = Object.create || objectCreatePolyfill\nvar objectKeys = Object.keys || objectKeysPolyfill\nvar bind = Function.prototype.bind || functionBindPolyfill\n\nfunction EventEmitter() {\n  if (!this._events || !Object.prototype.hasOwnProperty.call(this, '_events')) {\n    this._events = objectCreate(null);\n    this._eventsCount = 0;\n  }\n\n  this._maxListeners = this._maxListeners || undefined;\n}\nmodule.exports = EventEmitter;\n\n// Backwards-compat with node 0.10.x\nEventEmitter.EventEmitter = EventEmitter;\n\nEventEmitter.prototype._events = undefined;\nEventEmitter.prototype._maxListeners = undefined;\n\n// By default EventEmitters will print a warning if more than 10 listeners are\n// added to it. This is a useful default which helps finding memory leaks.\nvar defaultMaxListeners = 10;\n\nvar hasDefineProperty;\ntry {\n  var o = {};\n  if (Object.defineProperty) Object.defineProperty(o, 'x', { value: 0 });\n  hasDefineProperty = o.x === 0;\n} catch (err) { hasDefineProperty = false }\nif (hasDefineProperty) {\n  Object.defineProperty(EventEmitter, 'defaultMaxListeners', {\n    enumerable: true,\n    get: function() {\n      return defaultMaxListeners;\n    },\n    set: function(arg) {\n      // check whether the input is a positive number (whose value is zero or\n      // greater and not a NaN).\n      if (typeof arg !== 'number' || arg < 0 || arg !== arg)\n        throw new TypeError('\"defaultMaxListeners\" must be a positive number');\n      defaultMaxListeners = arg;\n    }\n  });\n} else {\n  EventEmitter.defaultMaxListeners = defaultMaxListeners;\n}\n\n// Obviously not all Emitters should be limited to 10. This function allows\n// that to be increased. Set to zero for unlimited.\nEventEmitter.prototype.setMaxListeners = function setMaxListeners(n) {\n  if (typeof n !== 'number' || n < 0 || isNaN(n))\n    throw new TypeError('\"n\" argument must be a positive number');\n  this._maxListeners = n;\n  return this;\n};\n\nfunction $getMaxListeners(that) {\n  if (that._maxListeners === undefined)\n    return EventEmitter.defaultMaxListeners;\n  return that._maxListeners;\n}\n\nEventEmitter.prototype.getMaxListeners = function getMaxListeners() {\n  return $getMaxListeners(this);\n};\n\n// These standalone emit* functions are used to optimize calling of event\n// handlers for fast cases because emit() itself often has a variable number of\n// arguments and can be deoptimized because of that. These functions always have\n// the same number of arguments and thus do not get deoptimized, so the code\n// inside them can execute faster.\nfunction emitNone(handler, isFn, self) {\n  if (isFn)\n    handler.call(self);\n  else {\n    var len = handler.length;\n    var listeners = arrayClone(handler, len);\n    for (var i = 0; i < len; ++i)\n      listeners[i].call(self);\n  }\n}\nfunction emitOne(handler, isFn, self, arg1) {\n  if (isFn)\n    handler.call(self, arg1);\n  else {\n    var len = handler.length;\n    var listeners = arrayClone(handler, len);\n    for (var i = 0; i < len; ++i)\n      listeners[i].call(self, arg1);\n  }\n}\nfunction emitTwo(handler, isFn, self, arg1, arg2) {\n  if (isFn)\n    handler.call(self, arg1, arg2);\n  else {\n    var len = handler.length;\n    var listeners = arrayClone(handler, len);\n    for (var i = 0; i < len; ++i)\n      listeners[i].call(self, arg1, arg2);\n  }\n}\nfunction emitThree(handler, isFn, self, arg1, arg2, arg3) {\n  if (isFn)\n    handler.call(self, arg1, arg2, arg3);\n  else {\n    var len = handler.length;\n    var listeners = arrayClone(handler, len);\n    for (var i = 0; i < len; ++i)\n      listeners[i].call(self, arg1, arg2, arg3);\n  }\n}\n\nfunction emitMany(handler, isFn, self, args) {\n  if (isFn)\n    handler.apply(self, args);\n  else {\n    var len = handler.length;\n    var listeners = arrayClone(handler, len);\n    for (var i = 0; i < len; ++i)\n      listeners[i].apply(self, args);\n  }\n}\n\nEventEmitter.prototype.emit = function emit(type) {\n  var er, handler, len, args, i, events;\n  var doError = (type === 'error');\n\n  events = this._events;\n  if (events)\n    doError = (doError && events.error == null);\n  else if (!doError)\n    return false;\n\n  // If there is no 'error' event listener then throw.\n  if (doError) {\n    if (arguments.length > 1)\n      er = arguments[1];\n    if (er instanceof Error) {\n      throw er; // Unhandled 'error' event\n    } else {\n      // At least give some kind of context to the user\n      var err = new Error('Unhandled \"error\" event. (' + er + ')');\n      err.context = er;\n      throw err;\n    }\n    return false;\n  }\n\n  handler = events[type];\n\n  if (!handler)\n    return false;\n\n  var isFn = typeof handler === 'function';\n  len = arguments.length;\n  switch (len) {\n      // fast cases\n    case 1:\n      emitNone(handler, isFn, this);\n      break;\n    case 2:\n      emitOne(handler, isFn, this, arguments[1]);\n      break;\n    case 3:\n      emitTwo(handler, isFn, this, arguments[1], arguments[2]);\n      break;\n    case 4:\n      emitThree(handler, isFn, this, arguments[1], arguments[2], arguments[3]);\n      break;\n      // slower\n    default:\n      args = new Array(len - 1);\n      for (i = 1; i < len; i++)\n        args[i - 1] = arguments[i];\n      emitMany(handler, isFn, this, args);\n  }\n\n  return true;\n};\n\nfunction _addListener(target, type, listener, prepend) {\n  var m;\n  var events;\n  var existing;\n\n  if (typeof listener !== 'function')\n    throw new TypeError('\"listener\" argument must be a function');\n\n  events = target._events;\n  if (!events) {\n    events = target._events = objectCreate(null);\n    target._eventsCount = 0;\n  } else {\n    // To avoid recursion in the case that type === \"newListener\"! Before\n    // adding it to the listeners, first emit \"newListener\".\n    if (events.newListener) {\n      target.emit('newListener', type,\n          listener.listener ? listener.listener : listener);\n\n      // Re-assign `events` because a newListener handler could have caused the\n      // this._events to be assigned to a new object\n      events = target._events;\n    }\n    existing = events[type];\n  }\n\n  if (!existing) {\n    // Optimize the case of one listener. Don't need the extra array object.\n    existing = events[type] = listener;\n    ++target._eventsCount;\n  } else {\n    if (typeof existing === 'function') {\n      // Adding the second element, need to change to array.\n      existing = events[type] =\n          prepend ? [listener, existing] : [existing, listener];\n    } else {\n      // If we've already got an array, just append.\n      if (prepend) {\n        existing.unshift(listener);\n      } else {\n        existing.push(listener);\n      }\n    }\n\n    // Check for listener leak\n    if (!existing.warned) {\n      m = $getMaxListeners(target);\n      if (m && m > 0 && existing.length > m) {\n        existing.warned = true;\n        var w = new Error('Possible EventEmitter memory leak detected. ' +\n            existing.length + ' \"' + String(type) + '\" listeners ' +\n            'added. Use emitter.setMaxListeners() to ' +\n            'increase limit.');\n        w.name = 'MaxListenersExceededWarning';\n        w.emitter = target;\n        w.type = type;\n        w.count = existing.length;\n        if (typeof console === 'object' && console.warn) {\n          console.warn('%s: %s', w.name, w.message);\n        }\n      }\n    }\n  }\n\n  return target;\n}\n\nEventEmitter.prototype.addListener = function addListener(type, listener) {\n  return _addListener(this, type, listener, false);\n};\n\nEventEmitter.prototype.on = EventEmitter.prototype.addListener;\n\nEventEmitter.prototype.prependListener =\n    function prependListener(type, listener) {\n      return _addListener(this, type, listener, true);\n    };\n\nfunction onceWrapper() {\n  if (!this.fired) {\n    this.target.removeListener(this.type, this.wrapFn);\n    this.fired = true;\n    switch (arguments.length) {\n      case 0:\n        return this.listener.call(this.target);\n      case 1:\n        return this.listener.call(this.target, arguments[0]);\n      case 2:\n        return this.listener.call(this.target, arguments[0], arguments[1]);\n      case 3:\n        return this.listener.call(this.target, arguments[0], arguments[1],\n            arguments[2]);\n      default:\n        var args = new Array(arguments.length);\n        for (var i = 0; i < args.length; ++i)\n          args[i] = arguments[i];\n        this.listener.apply(this.target, args);\n    }\n  }\n}\n\nfunction _onceWrap(target, type, listener) {\n  var state = { fired: false, wrapFn: undefined, target: target, type: type, listener: listener };\n  var wrapped = bind.call(onceWrapper, state);\n  wrapped.listener = listener;\n  state.wrapFn = wrapped;\n  return wrapped;\n}\n\nEventEmitter.prototype.once = function once(type, listener) {\n  if (typeof listener !== 'function')\n    throw new TypeError('\"listener\" argument must be a function');\n  this.on(type, _onceWrap(this, type, listener));\n  return this;\n};\n\nEventEmitter.prototype.prependOnceListener =\n    function prependOnceListener(type, listener) {\n      if (typeof listener !== 'function')\n        throw new TypeError('\"listener\" argument must be a function');\n      this.prependListener(type, _onceWrap(this, type, listener));\n      return this;\n    };\n\n// Emits a 'removeListener' event if and only if the listener was removed.\nEventEmitter.prototype.removeListener =\n    function removeListener(type, listener) {\n      var list, events, position, i, originalListener;\n\n      if (typeof listener !== 'function')\n        throw new TypeError('\"listener\" argument must be a function');\n\n      events = this._events;\n      if (!events)\n        return this;\n\n      list = events[type];\n      if (!list)\n        return this;\n\n      if (list === listener || list.listener === listener) {\n        if (--this._eventsCount === 0)\n          this._events = objectCreate(null);\n        else {\n          delete events[type];\n          if (events.removeListener)\n            this.emit('removeListener', type, list.listener || listener);\n        }\n      } else if (typeof list !== 'function') {\n        position = -1;\n\n        for (i = list.length - 1; i >= 0; i--) {\n          if (list[i] === listener || list[i].listener === listener) {\n            originalListener = list[i].listener;\n            position = i;\n            break;\n          }\n        }\n\n        if (position < 0)\n          return this;\n\n        if (position === 0)\n          list.shift();\n        else\n          spliceOne(list, position);\n\n        if (list.length === 1)\n          events[type] = list[0];\n\n        if (events.removeListener)\n          this.emit('removeListener', type, originalListener || listener);\n      }\n\n      return this;\n    };\n\nEventEmitter.prototype.removeAllListeners =\n    function removeAllListeners(type) {\n      var listeners, events, i;\n\n      events = this._events;\n      if (!events)\n        return this;\n\n      // not listening for removeListener, no need to emit\n      if (!events.removeListener) {\n        if (arguments.length === 0) {\n          this._events = objectCreate(null);\n          this._eventsCount = 0;\n        } else if (events[type]) {\n          if (--this._eventsCount === 0)\n            this._events = objectCreate(null);\n          else\n            delete events[type];\n        }\n        return this;\n      }\n\n      // emit removeListener for all listeners on all events\n      if (arguments.length === 0) {\n        var keys = objectKeys(events);\n        var key;\n        for (i = 0; i < keys.length; ++i) {\n          key = keys[i];\n          if (key === 'removeListener') continue;\n          this.removeAllListeners(key);\n        }\n        this.removeAllListeners('removeListener');\n        this._events = objectCreate(null);\n        this._eventsCount = 0;\n        return this;\n      }\n\n      listeners = events[type];\n\n      if (typeof listeners === 'function') {\n        this.removeListener(type, listeners);\n      } else if (listeners) {\n        // LIFO order\n        for (i = listeners.length - 1; i >= 0; i--) {\n          this.removeListener(type, listeners[i]);\n        }\n      }\n\n      return this;\n    };\n\nfunction _listeners(target, type, unwrap) {\n  var events = target._events;\n\n  if (!events)\n    return [];\n\n  var evlistener = events[type];\n  if (!evlistener)\n    return [];\n\n  if (typeof evlistener === 'function')\n    return unwrap ? [evlistener.listener || evlistener] : [evlistener];\n\n  return unwrap ? unwrapListeners(evlistener) : arrayClone(evlistener, evlistener.length);\n}\n\nEventEmitter.prototype.listeners = function listeners(type) {\n  return _listeners(this, type, true);\n};\n\nEventEmitter.prototype.rawListeners = function rawListeners(type) {\n  return _listeners(this, type, false);\n};\n\nEventEmitter.listenerCount = function(emitter, type) {\n  if (typeof emitter.listenerCount === 'function') {\n    return emitter.listenerCount(type);\n  } else {\n    return listenerCount.call(emitter, type);\n  }\n};\n\nEventEmitter.prototype.listenerCount = listenerCount;\nfunction listenerCount(type) {\n  var events = this._events;\n\n  if (events) {\n    var evlistener = events[type];\n\n    if (typeof evlistener === 'function') {\n      return 1;\n    } else if (evlistener) {\n      return evlistener.length;\n    }\n  }\n\n  return 0;\n}\n\nEventEmitter.prototype.eventNames = function eventNames() {\n  return this._eventsCount > 0 ? Reflect.ownKeys(this._events) : [];\n};\n\n// About 1.5x faster than the two-arg version of Array#splice().\nfunction spliceOne(list, index) {\n  for (var i = index, k = i + 1, n = list.length; k < n; i += 1, k += 1)\n    list[i] = list[k];\n  list.pop();\n}\n\nfunction arrayClone(arr, n) {\n  var copy = new Array(n);\n  for (var i = 0; i < n; ++i)\n    copy[i] = arr[i];\n  return copy;\n}\n\nfunction unwrapListeners(arr) {\n  var ret = new Array(arr.length);\n  for (var i = 0; i < ret.length; ++i) {\n    ret[i] = arr[i].listener || arr[i];\n  }\n  return ret;\n}\n\nfunction objectCreatePolyfill(proto) {\n  var F = function() {};\n  F.prototype = proto;\n  return new F;\n}\nfunction objectKeysPolyfill(obj) {\n  var keys = [];\n  for (var k in obj) if (Object.prototype.hasOwnProperty.call(obj, k)) {\n    keys.push(k);\n  }\n  return k;\n}\nfunction functionBindPolyfill(context) {\n  var fn = this;\n  return function () {\n    return fn.apply(context, arguments);\n  };\n}\n\n},{}],93:[function(_dereq_,module,exports){\n/*!\n * The buffer module from node.js, for the browser.\n *\n * @author   Feross Aboukhadijeh <https://feross.org>\n * @license  MIT\n */\n/* eslint-disable no-proto */\n\n'use strict'\n\nvar base64 = _dereq_('base64-js')\nvar ieee754 = _dereq_('ieee754')\n\nexports.Buffer = Buffer\nexports.SlowBuffer = SlowBuffer\nexports.INSPECT_MAX_BYTES = 50\n\nvar K_MAX_LENGTH = 0x7fffffff\nexports.kMaxLength = K_MAX_LENGTH\n\n/**\n * If `Buffer.TYPED_ARRAY_SUPPORT`:\n *   === true    Use Uint8Array implementation (fastest)\n *   === false   Print warning and recommend using `buffer` v4.x which has an Object\n *               implementation (most compatible, even IE6)\n *\n * Browsers that support typed arrays are IE 10+, Firefox 4+, Chrome 7+, Safari 5.1+,\n * Opera 11.6+, iOS 4.2+.\n *\n * We report that the browser does not support typed arrays if the are not subclassable\n * using __proto__. Firefox 4-29 lacks support for adding new properties to `Uint8Array`\n * (See: https://bugzilla.mozilla.org/show_bug.cgi?id=695438). IE 10 lacks support\n * for __proto__ and has a buggy typed array implementation.\n */\nBuffer.TYPED_ARRAY_SUPPORT = typedArraySupport()\n\nif (!Buffer.TYPED_ARRAY_SUPPORT && typeof console !== 'undefined' &&\n    typeof console.error === 'function') {\n  console.error(\n    'This browser lacks typed array (Uint8Array) support which is required by ' +\n    '`buffer` v5.x. Use `buffer` v4.x if you require old browser support.'\n  )\n}\n\nfunction typedArraySupport () {\n  // Can typed array instances can be augmented?\n  try {\n    var arr = new Uint8Array(1)\n    arr.__proto__ = {__proto__: Uint8Array.prototype, foo: function () { return 42 }}\n    return arr.foo() === 42\n  } catch (e) {\n    return false\n  }\n}\n\nObject.defineProperty(Buffer.prototype, 'parent', {\n  enumerable: true,\n  get: function () {\n    if (!Buffer.isBuffer(this)) return undefined\n    return this.buffer\n  }\n})\n\nObject.defineProperty(Buffer.prototype, 'offset', {\n  enumerable: true,\n  get: function () {\n    if (!Buffer.isBuffer(this)) return undefined\n    return this.byteOffset\n  }\n})\n\nfunction createBuffer (length) {\n  if (length > K_MAX_LENGTH) {\n    throw new RangeError('The value \"' + length + '\" is invalid for option \"size\"')\n  }\n  // Return an augmented `Uint8Array` instance\n  var buf = new Uint8Array(length)\n  buf.__proto__ = Buffer.prototype\n  return buf\n}\n\n/**\n * The Buffer constructor returns instances of `Uint8Array` that have their\n * prototype changed to `Buffer.prototype`. Furthermore, `Buffer` is a subclass of\n * `Uint8Array`, so the returned instances will have all the node `Buffer` methods\n * and the `Uint8Array` methods. Square bracket notation works as expected -- it\n * returns a single octet.\n *\n * The `Uint8Array` prototype remains unmodified.\n */\n\nfunction Buffer (arg, encodingOrOffset, length) {\n  // Common case.\n  if (typeof arg === 'number') {\n    if (typeof encodingOrOffset === 'string') {\n      throw new TypeError(\n        'The \"string\" argument must be of type string. Received type number'\n      )\n    }\n    return allocUnsafe(arg)\n  }\n  return from(arg, encodingOrOffset, length)\n}\n\n// Fix subarray() in ES2016. See: https://github.com/feross/buffer/pull/97\nif (typeof Symbol !== 'undefined' && Symbol.species != null &&\n    Buffer[Symbol.species] === Buffer) {\n  Object.defineProperty(Buffer, Symbol.species, {\n    value: null,\n    configurable: true,\n    enumerable: false,\n    writable: false\n  })\n}\n\nBuffer.poolSize = 8192 // not used by this implementation\n\nfunction from (value, encodingOrOffset, length) {\n  if (typeof value === 'string') {\n    return fromString(value, encodingOrOffset)\n  }\n\n  if (ArrayBuffer.isView(value)) {\n    return fromArrayLike(value)\n  }\n\n  if (value == null) {\n    throw TypeError(\n      'The first argument must be one of type string, Buffer, ArrayBuffer, Array, ' +\n      'or Array-like Object. Received type ' + (typeof value)\n    )\n  }\n\n  if (isInstance(value, ArrayBuffer) ||\n      (value && isInstance(value.buffer, ArrayBuffer))) {\n    return fromArrayBuffer(value, encodingOrOffset, length)\n  }\n\n  if (typeof value === 'number') {\n    throw new TypeError(\n      'The \"value\" argument must not be of type number. Received type number'\n    )\n  }\n\n  var valueOf = value.valueOf && value.valueOf()\n  if (valueOf != null && valueOf !== value) {\n    return Buffer.from(valueOf, encodingOrOffset, length)\n  }\n\n  var b = fromObject(value)\n  if (b) return b\n\n  if (typeof Symbol !== 'undefined' && Symbol.toPrimitive != null &&\n      typeof value[Symbol.toPrimitive] === 'function') {\n    return Buffer.from(\n      value[Symbol.toPrimitive]('string'), encodingOrOffset, length\n    )\n  }\n\n  throw new TypeError(\n    'The first argument must be one of type string, Buffer, ArrayBuffer, Array, ' +\n    'or Array-like Object. Received type ' + (typeof value)\n  )\n}\n\n/**\n * Functionally equivalent to Buffer(arg, encoding) but throws a TypeError\n * if value is a number.\n * Buffer.from(str[, encoding])\n * Buffer.from(array)\n * Buffer.from(buffer)\n * Buffer.from(arrayBuffer[, byteOffset[, length]])\n **/\nBuffer.from = function (value, encodingOrOffset, length) {\n  return from(value, encodingOrOffset, length)\n}\n\n// Note: Change prototype *after* Buffer.from is defined to workaround Chrome bug:\n// https://github.com/feross/buffer/pull/148\nBuffer.prototype.__proto__ = Uint8Array.prototype\nBuffer.__proto__ = Uint8Array\n\nfunction assertSize (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('\"size\" argument must be of type number')\n  } else if (size < 0) {\n    throw new RangeError('The value \"' + size + '\" is invalid for option \"size\"')\n  }\n}\n\nfunction alloc (size, fill, encoding) {\n  assertSize(size)\n  if (size <= 0) {\n    return createBuffer(size)\n  }\n  if (fill !== undefined) {\n    // Only pay attention to encoding if it's a string. This\n    // prevents accidentally sending in a number that would\n    // be interpretted as a start offset.\n    return typeof encoding === 'string'\n      ? createBuffer(size).fill(fill, encoding)\n      : createBuffer(size).fill(fill)\n  }\n  return createBuffer(size)\n}\n\n/**\n * Creates a new filled Buffer instance.\n * alloc(size[, fill[, encoding]])\n **/\nBuffer.alloc = function (size, fill, encoding) {\n  return alloc(size, fill, encoding)\n}\n\nfunction allocUnsafe (size) {\n  assertSize(size)\n  return createBuffer(size < 0 ? 0 : checked(size) | 0)\n}\n\n/**\n * Equivalent to Buffer(num), by default creates a non-zero-filled Buffer instance.\n * */\nBuffer.allocUnsafe = function (size) {\n  return allocUnsafe(size)\n}\n/**\n * Equivalent to SlowBuffer(num), by default creates a non-zero-filled Buffer instance.\n */\nBuffer.allocUnsafeSlow = function (size) {\n  return allocUnsafe(size)\n}\n\nfunction fromString (string, encoding) {\n  if (typeof encoding !== 'string' || encoding === '') {\n    encoding = 'utf8'\n  }\n\n  if (!Buffer.isEncoding(encoding)) {\n    throw new TypeError('Unknown encoding: ' + encoding)\n  }\n\n  var length = byteLength(string, encoding) | 0\n  var buf = createBuffer(length)\n\n  var actual = buf.write(string, encoding)\n\n  if (actual !== length) {\n    // Writing a hex string, for example, that contains invalid characters will\n    // cause everything after the first invalid character to be ignored. (e.g.\n    // 'abxxcd' will be treated as 'ab')\n    buf = buf.slice(0, actual)\n  }\n\n  return buf\n}\n\nfunction fromArrayLike (array) {\n  var length = array.length < 0 ? 0 : checked(array.length) | 0\n  var buf = createBuffer(length)\n  for (var i = 0; i < length; i += 1) {\n    buf[i] = array[i] & 255\n  }\n  return buf\n}\n\nfunction fromArrayBuffer (array, byteOffset, length) {\n  if (byteOffset < 0 || array.byteLength < byteOffset) {\n    throw new RangeError('\"offset\" is outside of buffer bounds')\n  }\n\n  if (array.byteLength < byteOffset + (length || 0)) {\n    throw new RangeError('\"length\" is outside of buffer bounds')\n  }\n\n  var buf\n  if (byteOffset === undefined && length === undefined) {\n    buf = new Uint8Array(array)\n  } else if (length === undefined) {\n    buf = new Uint8Array(array, byteOffset)\n  } else {\n    buf = new Uint8Array(array, byteOffset, length)\n  }\n\n  // Return an augmented `Uint8Array` instance\n  buf.__proto__ = Buffer.prototype\n  return buf\n}\n\nfunction fromObject (obj) {\n  if (Buffer.isBuffer(obj)) {\n    var len = checked(obj.length) | 0\n    var buf = createBuffer(len)\n\n    if (buf.length === 0) {\n      return buf\n    }\n\n    obj.copy(buf, 0, 0, len)\n    return buf\n  }\n\n  if (obj.length !== undefined) {\n    if (typeof obj.length !== 'number' || numberIsNaN(obj.length)) {\n      return createBuffer(0)\n    }\n    return fromArrayLike(obj)\n  }\n\n  if (obj.type === 'Buffer' && Array.isArray(obj.data)) {\n    return fromArrayLike(obj.data)\n  }\n}\n\nfunction checked (length) {\n  // Note: cannot use `length < K_MAX_LENGTH` here because that fails when\n  // length is NaN (which is otherwise coerced to zero.)\n  if (length >= K_MAX_LENGTH) {\n    throw new RangeError('Attempt to allocate Buffer larger than maximum ' +\n                         'size: 0x' + K_MAX_LENGTH.toString(16) + ' bytes')\n  }\n  return length | 0\n}\n\nfunction SlowBuffer (length) {\n  if (+length != length) { // eslint-disable-line eqeqeq\n    length = 0\n  }\n  return Buffer.alloc(+length)\n}\n\nBuffer.isBuffer = function isBuffer (b) {\n  return b != null && b._isBuffer === true &&\n    b !== Buffer.prototype // so Buffer.isBuffer(Buffer.prototype) will be false\n}\n\nBuffer.compare = function compare (a, b) {\n  if (isInstance(a, Uint8Array)) a = Buffer.from(a, a.offset, a.byteLength)\n  if (isInstance(b, Uint8Array)) b = Buffer.from(b, b.offset, b.byteLength)\n  if (!Buffer.isBuffer(a) || !Buffer.isBuffer(b)) {\n    throw new TypeError(\n      'The \"buf1\", \"buf2\" arguments must be one of type Buffer or Uint8Array'\n    )\n  }\n\n  if (a === b) return 0\n\n  var x = a.length\n  var y = b.length\n\n  for (var i = 0, len = Math.min(x, y); i < len; ++i) {\n    if (a[i] !== b[i]) {\n      x = a[i]\n      y = b[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\nBuffer.isEncoding = function isEncoding (encoding) {\n  switch (String(encoding).toLowerCase()) {\n    case 'hex':\n    case 'utf8':\n    case 'utf-8':\n    case 'ascii':\n    case 'latin1':\n    case 'binary':\n    case 'base64':\n    case 'ucs2':\n    case 'ucs-2':\n    case 'utf16le':\n    case 'utf-16le':\n      return true\n    default:\n      return false\n  }\n}\n\nBuffer.concat = function concat (list, length) {\n  if (!Array.isArray(list)) {\n    throw new TypeError('\"list\" argument must be an Array of Buffers')\n  }\n\n  if (list.length === 0) {\n    return Buffer.alloc(0)\n  }\n\n  var i\n  if (length === undefined) {\n    length = 0\n    for (i = 0; i < list.length; ++i) {\n      length += list[i].length\n    }\n  }\n\n  var buffer = Buffer.allocUnsafe(length)\n  var pos = 0\n  for (i = 0; i < list.length; ++i) {\n    var buf = list[i]\n    if (isInstance(buf, Uint8Array)) {\n      buf = Buffer.from(buf)\n    }\n    if (!Buffer.isBuffer(buf)) {\n      throw new TypeError('\"list\" argument must be an Array of Buffers')\n    }\n    buf.copy(buffer, pos)\n    pos += buf.length\n  }\n  return buffer\n}\n\nfunction byteLength (string, encoding) {\n  if (Buffer.isBuffer(string)) {\n    return string.length\n  }\n  if (ArrayBuffer.isView(string) || isInstance(string, ArrayBuffer)) {\n    return string.byteLength\n  }\n  if (typeof string !== 'string') {\n    throw new TypeError(\n      'The \"string\" argument must be one of type string, Buffer, or ArrayBuffer. ' +\n      'Received type ' + typeof string\n    )\n  }\n\n  var len = string.length\n  var mustMatch = (arguments.length > 2 && arguments[2] === true)\n  if (!mustMatch && len === 0) return 0\n\n  // Use a for loop to avoid recursion\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'ascii':\n      case 'latin1':\n      case 'binary':\n        return len\n      case 'utf8':\n      case 'utf-8':\n        return utf8ToBytes(string).length\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return len * 2\n      case 'hex':\n        return len >>> 1\n      case 'base64':\n        return base64ToBytes(string).length\n      default:\n        if (loweredCase) {\n          return mustMatch ? -1 : utf8ToBytes(string).length // assume utf8\n        }\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\nBuffer.byteLength = byteLength\n\nfunction slowToString (encoding, start, end) {\n  var loweredCase = false\n\n  // No need to verify that \"this.length <= MAX_UINT32\" since it's a read-only\n  // property of a typed array.\n\n  // This behaves neither like String nor Uint8Array in that we set start/end\n  // to their upper/lower bounds if the value passed is out of range.\n  // undefined is handled specially as per ECMA-262 6th Edition,\n  // Section 13.3.3.7 Runtime Semantics: KeyedBindingInitialization.\n  if (start === undefined || start < 0) {\n    start = 0\n  }\n  // Return early if start > this.length. Done here to prevent potential uint32\n  // coercion fail below.\n  if (start > this.length) {\n    return ''\n  }\n\n  if (end === undefined || end > this.length) {\n    end = this.length\n  }\n\n  if (end <= 0) {\n    return ''\n  }\n\n  // Force coersion to uint32. This will also coerce falsey/NaN values to 0.\n  end >>>= 0\n  start >>>= 0\n\n  if (end <= start) {\n    return ''\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  while (true) {\n    switch (encoding) {\n      case 'hex':\n        return hexSlice(this, start, end)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Slice(this, start, end)\n\n      case 'ascii':\n        return asciiSlice(this, start, end)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Slice(this, start, end)\n\n      case 'base64':\n        return base64Slice(this, start, end)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return utf16leSlice(this, start, end)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = (encoding + '').toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\n// This property is used by `Buffer.isBuffer` (and the `is-buffer` npm package)\n// to detect a Buffer instance. It's not possible to use `instanceof Buffer`\n// reliably in a browserify context because there could be multiple different\n// copies of the 'buffer' package in use. This method works even for Buffer\n// instances that were created from another copy of the `buffer` package.\n// See: https://github.com/feross/buffer/issues/154\nBuffer.prototype._isBuffer = true\n\nfunction swap (b, n, m) {\n  var i = b[n]\n  b[n] = b[m]\n  b[m] = i\n}\n\nBuffer.prototype.swap16 = function swap16 () {\n  var len = this.length\n  if (len % 2 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 16-bits')\n  }\n  for (var i = 0; i < len; i += 2) {\n    swap(this, i, i + 1)\n  }\n  return this\n}\n\nBuffer.prototype.swap32 = function swap32 () {\n  var len = this.length\n  if (len % 4 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 32-bits')\n  }\n  for (var i = 0; i < len; i += 4) {\n    swap(this, i, i + 3)\n    swap(this, i + 1, i + 2)\n  }\n  return this\n}\n\nBuffer.prototype.swap64 = function swap64 () {\n  var len = this.length\n  if (len % 8 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 64-bits')\n  }\n  for (var i = 0; i < len; i += 8) {\n    swap(this, i, i + 7)\n    swap(this, i + 1, i + 6)\n    swap(this, i + 2, i + 5)\n    swap(this, i + 3, i + 4)\n  }\n  return this\n}\n\nBuffer.prototype.toString = function toString () {\n  var length = this.length\n  if (length === 0) return ''\n  if (arguments.length === 0) return utf8Slice(this, 0, length)\n  return slowToString.apply(this, arguments)\n}\n\nBuffer.prototype.toLocaleString = Buffer.prototype.toString\n\nBuffer.prototype.equals = function equals (b) {\n  if (!Buffer.isBuffer(b)) throw new TypeError('Argument must be a Buffer')\n  if (this === b) return true\n  return Buffer.compare(this, b) === 0\n}\n\nBuffer.prototype.inspect = function inspect () {\n  var str = ''\n  var max = exports.INSPECT_MAX_BYTES\n  str = this.toString('hex', 0, max).replace(/(.{2})/g, '$1 ').trim()\n  if (this.length > max) str += ' ... '\n  return '<Buffer ' + str + '>'\n}\n\nBuffer.prototype.compare = function compare (target, start, end, thisStart, thisEnd) {\n  if (isInstance(target, Uint8Array)) {\n    target = Buffer.from(target, target.offset, target.byteLength)\n  }\n  if (!Buffer.isBuffer(target)) {\n    throw new TypeError(\n      'The \"target\" argument must be one of type Buffer or Uint8Array. ' +\n      'Received type ' + (typeof target)\n    )\n  }\n\n  if (start === undefined) {\n    start = 0\n  }\n  if (end === undefined) {\n    end = target ? target.length : 0\n  }\n  if (thisStart === undefined) {\n    thisStart = 0\n  }\n  if (thisEnd === undefined) {\n    thisEnd = this.length\n  }\n\n  if (start < 0 || end > target.length || thisStart < 0 || thisEnd > this.length) {\n    throw new RangeError('out of range index')\n  }\n\n  if (thisStart >= thisEnd && start >= end) {\n    return 0\n  }\n  if (thisStart >= thisEnd) {\n    return -1\n  }\n  if (start >= end) {\n    return 1\n  }\n\n  start >>>= 0\n  end >>>= 0\n  thisStart >>>= 0\n  thisEnd >>>= 0\n\n  if (this === target) return 0\n\n  var x = thisEnd - thisStart\n  var y = end - start\n  var len = Math.min(x, y)\n\n  var thisCopy = this.slice(thisStart, thisEnd)\n  var targetCopy = target.slice(start, end)\n\n  for (var i = 0; i < len; ++i) {\n    if (thisCopy[i] !== targetCopy[i]) {\n      x = thisCopy[i]\n      y = targetCopy[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\n// Finds either the first index of `val` in `buffer` at offset >= `byteOffset`,\n// OR the last index of `val` in `buffer` at offset <= `byteOffset`.\n//\n// Arguments:\n// - buffer - a Buffer to search\n// - val - a string, Buffer, or number\n// - byteOffset - an index into `buffer`; will be clamped to an int32\n// - encoding - an optional encoding, relevant is val is a string\n// - dir - true for indexOf, false for lastIndexOf\nfunction bidirectionalIndexOf (buffer, val, byteOffset, encoding, dir) {\n  // Empty buffer means no match\n  if (buffer.length === 0) return -1\n\n  // Normalize byteOffset\n  if (typeof byteOffset === 'string') {\n    encoding = byteOffset\n    byteOffset = 0\n  } else if (byteOffset > 0x7fffffff) {\n    byteOffset = 0x7fffffff\n  } else if (byteOffset < -0x80000000) {\n    byteOffset = -0x80000000\n  }\n  byteOffset = +byteOffset // Coerce to Number.\n  if (numberIsNaN(byteOffset)) {\n    // byteOffset: it it's undefined, null, NaN, \"foo\", etc, search whole buffer\n    byteOffset = dir ? 0 : (buffer.length - 1)\n  }\n\n  // Normalize byteOffset: negative offsets start from the end of the buffer\n  if (byteOffset < 0) byteOffset = buffer.length + byteOffset\n  if (byteOffset >= buffer.length) {\n    if (dir) return -1\n    else byteOffset = buffer.length - 1\n  } else if (byteOffset < 0) {\n    if (dir) byteOffset = 0\n    else return -1\n  }\n\n  // Normalize val\n  if (typeof val === 'string') {\n    val = Buffer.from(val, encoding)\n  }\n\n  // Finally, search either indexOf (if dir is true) or lastIndexOf\n  if (Buffer.isBuffer(val)) {\n    // Special case: looking for empty string/buffer always fails\n    if (val.length === 0) {\n      return -1\n    }\n    return arrayIndexOf(buffer, val, byteOffset, encoding, dir)\n  } else if (typeof val === 'number') {\n    val = val & 0xFF // Search for a byte value [0-255]\n    if (typeof Uint8Array.prototype.indexOf === 'function') {\n      if (dir) {\n        return Uint8Array.prototype.indexOf.call(buffer, val, byteOffset)\n      } else {\n        return Uint8Array.prototype.lastIndexOf.call(buffer, val, byteOffset)\n      }\n    }\n    return arrayIndexOf(buffer, [ val ], byteOffset, encoding, dir)\n  }\n\n  throw new TypeError('val must be string, number or Buffer')\n}\n\nfunction arrayIndexOf (arr, val, byteOffset, encoding, dir) {\n  var indexSize = 1\n  var arrLength = arr.length\n  var valLength = val.length\n\n  if (encoding !== undefined) {\n    encoding = String(encoding).toLowerCase()\n    if (encoding === 'ucs2' || encoding === 'ucs-2' ||\n        encoding === 'utf16le' || encoding === 'utf-16le') {\n      if (arr.length < 2 || val.length < 2) {\n        return -1\n      }\n      indexSize = 2\n      arrLength /= 2\n      valLength /= 2\n      byteOffset /= 2\n    }\n  }\n\n  function read (buf, i) {\n    if (indexSize === 1) {\n      return buf[i]\n    } else {\n      return buf.readUInt16BE(i * indexSize)\n    }\n  }\n\n  var i\n  if (dir) {\n    var foundIndex = -1\n    for (i = byteOffset; i < arrLength; i++) {\n      if (read(arr, i) === read(val, foundIndex === -1 ? 0 : i - foundIndex)) {\n        if (foundIndex === -1) foundIndex = i\n        if (i - foundIndex + 1 === valLength) return foundIndex * indexSize\n      } else {\n        if (foundIndex !== -1) i -= i - foundIndex\n        foundIndex = -1\n      }\n    }\n  } else {\n    if (byteOffset + valLength > arrLength) byteOffset = arrLength - valLength\n    for (i = byteOffset; i >= 0; i--) {\n      var found = true\n      for (var j = 0; j < valLength; j++) {\n        if (read(arr, i + j) !== read(val, j)) {\n          found = false\n          break\n        }\n      }\n      if (found) return i\n    }\n  }\n\n  return -1\n}\n\nBuffer.prototype.includes = function includes (val, byteOffset, encoding) {\n  return this.indexOf(val, byteOffset, encoding) !== -1\n}\n\nBuffer.prototype.indexOf = function indexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, true)\n}\n\nBuffer.prototype.lastIndexOf = function lastIndexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, false)\n}\n\nfunction hexWrite (buf, string, offset, length) {\n  offset = Number(offset) || 0\n  var remaining = buf.length - offset\n  if (!length) {\n    length = remaining\n  } else {\n    length = Number(length)\n    if (length > remaining) {\n      length = remaining\n    }\n  }\n\n  var strLen = string.length\n\n  if (length > strLen / 2) {\n    length = strLen / 2\n  }\n  for (var i = 0; i < length; ++i) {\n    var parsed = parseInt(string.substr(i * 2, 2), 16)\n    if (numberIsNaN(parsed)) return i\n    buf[offset + i] = parsed\n  }\n  return i\n}\n\nfunction utf8Write (buf, string, offset, length) {\n  return blitBuffer(utf8ToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nfunction asciiWrite (buf, string, offset, length) {\n  return blitBuffer(asciiToBytes(string), buf, offset, length)\n}\n\nfunction latin1Write (buf, string, offset, length) {\n  return asciiWrite(buf, string, offset, length)\n}\n\nfunction base64Write (buf, string, offset, length) {\n  return blitBuffer(base64ToBytes(string), buf, offset, length)\n}\n\nfunction ucs2Write (buf, string, offset, length) {\n  return blitBuffer(utf16leToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nBuffer.prototype.write = function write (string, offset, length, encoding) {\n  // Buffer#write(string)\n  if (offset === undefined) {\n    encoding = 'utf8'\n    length = this.length\n    offset = 0\n  // Buffer#write(string, encoding)\n  } else if (length === undefined && typeof offset === 'string') {\n    encoding = offset\n    length = this.length\n    offset = 0\n  // Buffer#write(string, offset[, length][, encoding])\n  } else if (isFinite(offset)) {\n    offset = offset >>> 0\n    if (isFinite(length)) {\n      length = length >>> 0\n      if (encoding === undefined) encoding = 'utf8'\n    } else {\n      encoding = length\n      length = undefined\n    }\n  } else {\n    throw new Error(\n      'Buffer.write(string, encoding, offset[, length]) is no longer supported'\n    )\n  }\n\n  var remaining = this.length - offset\n  if (length === undefined || length > remaining) length = remaining\n\n  if ((string.length > 0 && (length < 0 || offset < 0)) || offset > this.length) {\n    throw new RangeError('Attempt to write outside buffer bounds')\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'hex':\n        return hexWrite(this, string, offset, length)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Write(this, string, offset, length)\n\n      case 'ascii':\n        return asciiWrite(this, string, offset, length)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Write(this, string, offset, length)\n\n      case 'base64':\n        // Warning: maxLength not taken into account in base64Write\n        return base64Write(this, string, offset, length)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return ucs2Write(this, string, offset, length)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\nBuffer.prototype.toJSON = function toJSON () {\n  return {\n    type: 'Buffer',\n    data: Array.prototype.slice.call(this._arr || this, 0)\n  }\n}\n\nfunction base64Slice (buf, start, end) {\n  if (start === 0 && end === buf.length) {\n    return base64.fromByteArray(buf)\n  } else {\n    return base64.fromByteArray(buf.slice(start, end))\n  }\n}\n\nfunction utf8Slice (buf, start, end) {\n  end = Math.min(buf.length, end)\n  var res = []\n\n  var i = start\n  while (i < end) {\n    var firstByte = buf[i]\n    var codePoint = null\n    var bytesPerSequence = (firstByte > 0xEF) ? 4\n      : (firstByte > 0xDF) ? 3\n        : (firstByte > 0xBF) ? 2\n          : 1\n\n    if (i + bytesPerSequence <= end) {\n      var secondByte, thirdByte, fourthByte, tempCodePoint\n\n      switch (bytesPerSequence) {\n        case 1:\n          if (firstByte < 0x80) {\n            codePoint = firstByte\n          }\n          break\n        case 2:\n          secondByte = buf[i + 1]\n          if ((secondByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0x1F) << 0x6 | (secondByte & 0x3F)\n            if (tempCodePoint > 0x7F) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 3:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0xC | (secondByte & 0x3F) << 0x6 | (thirdByte & 0x3F)\n            if (tempCodePoint > 0x7FF && (tempCodePoint < 0xD800 || tempCodePoint > 0xDFFF)) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 4:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          fourthByte = buf[i + 3]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80 && (fourthByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0x12 | (secondByte & 0x3F) << 0xC | (thirdByte & 0x3F) << 0x6 | (fourthByte & 0x3F)\n            if (tempCodePoint > 0xFFFF && tempCodePoint < 0x110000) {\n              codePoint = tempCodePoint\n            }\n          }\n      }\n    }\n\n    if (codePoint === null) {\n      // we did not generate a valid codePoint so insert a\n      // replacement char (U+FFFD) and advance only 1 byte\n      codePoint = 0xFFFD\n      bytesPerSequence = 1\n    } else if (codePoint > 0xFFFF) {\n      // encode to utf16 (surrogate pair dance)\n      codePoint -= 0x10000\n      res.push(codePoint >>> 10 & 0x3FF | 0xD800)\n      codePoint = 0xDC00 | codePoint & 0x3FF\n    }\n\n    res.push(codePoint)\n    i += bytesPerSequence\n  }\n\n  return decodeCodePointsArray(res)\n}\n\n// Based on http://stackoverflow.com/a/22747272/680742, the browser with\n// the lowest limit is Chrome, with 0x10000 args.\n// We go 1 magnitude less, for safety\nvar MAX_ARGUMENTS_LENGTH = 0x1000\n\nfunction decodeCodePointsArray (codePoints) {\n  var len = codePoints.length\n  if (len <= MAX_ARGUMENTS_LENGTH) {\n    return String.fromCharCode.apply(String, codePoints) // avoid extra slice()\n  }\n\n  // Decode in chunks to avoid \"call stack size exceeded\".\n  var res = ''\n  var i = 0\n  while (i < len) {\n    res += String.fromCharCode.apply(\n      String,\n      codePoints.slice(i, i += MAX_ARGUMENTS_LENGTH)\n    )\n  }\n  return res\n}\n\nfunction asciiSlice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i] & 0x7F)\n  }\n  return ret\n}\n\nfunction latin1Slice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i])\n  }\n  return ret\n}\n\nfunction hexSlice (buf, start, end) {\n  var len = buf.length\n\n  if (!start || start < 0) start = 0\n  if (!end || end < 0 || end > len) end = len\n\n  var out = ''\n  for (var i = start; i < end; ++i) {\n    out += toHex(buf[i])\n  }\n  return out\n}\n\nfunction utf16leSlice (buf, start, end) {\n  var bytes = buf.slice(start, end)\n  var res = ''\n  for (var i = 0; i < bytes.length; i += 2) {\n    res += String.fromCharCode(bytes[i] + (bytes[i + 1] * 256))\n  }\n  return res\n}\n\nBuffer.prototype.slice = function slice (start, end) {\n  var len = this.length\n  start = ~~start\n  end = end === undefined ? len : ~~end\n\n  if (start < 0) {\n    start += len\n    if (start < 0) start = 0\n  } else if (start > len) {\n    start = len\n  }\n\n  if (end < 0) {\n    end += len\n    if (end < 0) end = 0\n  } else if (end > len) {\n    end = len\n  }\n\n  if (end < start) end = start\n\n  var newBuf = this.subarray(start, end)\n  // Return an augmented `Uint8Array` instance\n  newBuf.__proto__ = Buffer.prototype\n  return newBuf\n}\n\n/*\n * Need to make sure that buffer isn't trying to write out of bounds.\n */\nfunction checkOffset (offset, ext, length) {\n  if ((offset % 1) !== 0 || offset < 0) throw new RangeError('offset is not uint')\n  if (offset + ext > length) throw new RangeError('Trying to access beyond buffer length')\n}\n\nBuffer.prototype.readUIntLE = function readUIntLE (offset, byteLength, noAssert) {\n  offset = offset >>> 0\n  byteLength = byteLength >>> 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUIntBE = function readUIntBE (offset, byteLength, noAssert) {\n  offset = offset >>> 0\n  byteLength = byteLength >>> 0\n  if (!noAssert) {\n    checkOffset(offset, byteLength, this.length)\n  }\n\n  var val = this[offset + --byteLength]\n  var mul = 1\n  while (byteLength > 0 && (mul *= 0x100)) {\n    val += this[offset + --byteLength] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUInt8 = function readUInt8 (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  return this[offset]\n}\n\nBuffer.prototype.readUInt16LE = function readUInt16LE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return this[offset] | (this[offset + 1] << 8)\n}\n\nBuffer.prototype.readUInt16BE = function readUInt16BE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return (this[offset] << 8) | this[offset + 1]\n}\n\nBuffer.prototype.readUInt32LE = function readUInt32LE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return ((this[offset]) |\n      (this[offset + 1] << 8) |\n      (this[offset + 2] << 16)) +\n      (this[offset + 3] * 0x1000000)\n}\n\nBuffer.prototype.readUInt32BE = function readUInt32BE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] * 0x1000000) +\n    ((this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    this[offset + 3])\n}\n\nBuffer.prototype.readIntLE = function readIntLE (offset, byteLength, noAssert) {\n  offset = offset >>> 0\n  byteLength = byteLength >>> 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readIntBE = function readIntBE (offset, byteLength, noAssert) {\n  offset = offset >>> 0\n  byteLength = byteLength >>> 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var i = byteLength\n  var mul = 1\n  var val = this[offset + --i]\n  while (i > 0 && (mul *= 0x100)) {\n    val += this[offset + --i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readInt8 = function readInt8 (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  if (!(this[offset] & 0x80)) return (this[offset])\n  return ((0xff - this[offset] + 1) * -1)\n}\n\nBuffer.prototype.readInt16LE = function readInt16LE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset] | (this[offset + 1] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt16BE = function readInt16BE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset + 1] | (this[offset] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt32LE = function readInt32LE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset]) |\n    (this[offset + 1] << 8) |\n    (this[offset + 2] << 16) |\n    (this[offset + 3] << 24)\n}\n\nBuffer.prototype.readInt32BE = function readInt32BE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] << 24) |\n    (this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    (this[offset + 3])\n}\n\nBuffer.prototype.readFloatLE = function readFloatLE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, true, 23, 4)\n}\n\nBuffer.prototype.readFloatBE = function readFloatBE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, false, 23, 4)\n}\n\nBuffer.prototype.readDoubleLE = function readDoubleLE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, true, 52, 8)\n}\n\nBuffer.prototype.readDoubleBE = function readDoubleBE (offset, noAssert) {\n  offset = offset >>> 0\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, false, 52, 8)\n}\n\nfunction checkInt (buf, value, offset, ext, max, min) {\n  if (!Buffer.isBuffer(buf)) throw new TypeError('\"buffer\" argument must be a Buffer instance')\n  if (value > max || value < min) throw new RangeError('\"value\" argument is out of bounds')\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n}\n\nBuffer.prototype.writeUIntLE = function writeUIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  byteLength = byteLength >>> 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var mul = 1\n  var i = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUIntBE = function writeUIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  byteLength = byteLength >>> 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUInt8 = function writeUInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0xff, 0)\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nBuffer.prototype.writeUInt16LE = function writeUInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  this[offset] = (value & 0xff)\n  this[offset + 1] = (value >>> 8)\n  return offset + 2\n}\n\nBuffer.prototype.writeUInt16BE = function writeUInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  this[offset] = (value >>> 8)\n  this[offset + 1] = (value & 0xff)\n  return offset + 2\n}\n\nBuffer.prototype.writeUInt32LE = function writeUInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  this[offset + 3] = (value >>> 24)\n  this[offset + 2] = (value >>> 16)\n  this[offset + 1] = (value >>> 8)\n  this[offset] = (value & 0xff)\n  return offset + 4\n}\n\nBuffer.prototype.writeUInt32BE = function writeUInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  this[offset] = (value >>> 24)\n  this[offset + 1] = (value >>> 16)\n  this[offset + 2] = (value >>> 8)\n  this[offset + 3] = (value & 0xff)\n  return offset + 4\n}\n\nBuffer.prototype.writeIntLE = function writeIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) {\n    var limit = Math.pow(2, (8 * byteLength) - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = 0\n  var mul = 1\n  var sub = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i - 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeIntBE = function writeIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) {\n    var limit = Math.pow(2, (8 * byteLength) - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  var sub = 0\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i + 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeInt8 = function writeInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0x7f, -0x80)\n  if (value < 0) value = 0xff + value + 1\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nBuffer.prototype.writeInt16LE = function writeInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  this[offset] = (value & 0xff)\n  this[offset + 1] = (value >>> 8)\n  return offset + 2\n}\n\nBuffer.prototype.writeInt16BE = function writeInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  this[offset] = (value >>> 8)\n  this[offset + 1] = (value & 0xff)\n  return offset + 2\n}\n\nBuffer.prototype.writeInt32LE = function writeInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  this[offset] = (value & 0xff)\n  this[offset + 1] = (value >>> 8)\n  this[offset + 2] = (value >>> 16)\n  this[offset + 3] = (value >>> 24)\n  return offset + 4\n}\n\nBuffer.prototype.writeInt32BE = function writeInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (value < 0) value = 0xffffffff + value + 1\n  this[offset] = (value >>> 24)\n  this[offset + 1] = (value >>> 16)\n  this[offset + 2] = (value >>> 8)\n  this[offset + 3] = (value & 0xff)\n  return offset + 4\n}\n\nfunction checkIEEE754 (buf, value, offset, ext, max, min) {\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n  if (offset < 0) throw new RangeError('Index out of range')\n}\n\nfunction writeFloat (buf, value, offset, littleEndian, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 4, 3.4028234663852886e+38, -3.4028234663852886e+38)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 23, 4)\n  return offset + 4\n}\n\nBuffer.prototype.writeFloatLE = function writeFloatLE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeFloatBE = function writeFloatBE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, false, noAssert)\n}\n\nfunction writeDouble (buf, value, offset, littleEndian, noAssert) {\n  value = +value\n  offset = offset >>> 0\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 8, 1.7976931348623157E+308, -1.7976931348623157E+308)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 52, 8)\n  return offset + 8\n}\n\nBuffer.prototype.writeDoubleLE = function writeDoubleLE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeDoubleBE = function writeDoubleBE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, false, noAssert)\n}\n\n// copy(targetBuffer, targetStart=0, sourceStart=0, sourceEnd=buffer.length)\nBuffer.prototype.copy = function copy (target, targetStart, start, end) {\n  if (!Buffer.isBuffer(target)) throw new TypeError('argument should be a Buffer')\n  if (!start) start = 0\n  if (!end && end !== 0) end = this.length\n  if (targetStart >= target.length) targetStart = target.length\n  if (!targetStart) targetStart = 0\n  if (end > 0 && end < start) end = start\n\n  // Copy 0 bytes; we're done\n  if (end === start) return 0\n  if (target.length === 0 || this.length === 0) return 0\n\n  // Fatal error conditions\n  if (targetStart < 0) {\n    throw new RangeError('targetStart out of bounds')\n  }\n  if (start < 0 || start >= this.length) throw new RangeError('Index out of range')\n  if (end < 0) throw new RangeError('sourceEnd out of bounds')\n\n  // Are we oob?\n  if (end > this.length) end = this.length\n  if (target.length - targetStart < end - start) {\n    end = target.length - targetStart + start\n  }\n\n  var len = end - start\n\n  if (this === target && typeof Uint8Array.prototype.copyWithin === 'function') {\n    // Use built-in when available, missing from IE11\n    this.copyWithin(targetStart, start, end)\n  } else if (this === target && start < targetStart && targetStart < end) {\n    // descending copy from end\n    for (var i = len - 1; i >= 0; --i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else {\n    Uint8Array.prototype.set.call(\n      target,\n      this.subarray(start, end),\n      targetStart\n    )\n  }\n\n  return len\n}\n\n// Usage:\n//    buffer.fill(number[, offset[, end]])\n//    buffer.fill(buffer[, offset[, end]])\n//    buffer.fill(string[, offset[, end]][, encoding])\nBuffer.prototype.fill = function fill (val, start, end, encoding) {\n  // Handle string cases:\n  if (typeof val === 'string') {\n    if (typeof start === 'string') {\n      encoding = start\n      start = 0\n      end = this.length\n    } else if (typeof end === 'string') {\n      encoding = end\n      end = this.length\n    }\n    if (encoding !== undefined && typeof encoding !== 'string') {\n      throw new TypeError('encoding must be a string')\n    }\n    if (typeof encoding === 'string' && !Buffer.isEncoding(encoding)) {\n      throw new TypeError('Unknown encoding: ' + encoding)\n    }\n    if (val.length === 1) {\n      var code = val.charCodeAt(0)\n      if ((encoding === 'utf8' && code < 128) ||\n          encoding === 'latin1') {\n        // Fast path: If `val` fits into a single byte, use that numeric value.\n        val = code\n      }\n    }\n  } else if (typeof val === 'number') {\n    val = val & 255\n  }\n\n  // Invalid ranges are not set to a default, so can range check early.\n  if (start < 0 || this.length < start || this.length < end) {\n    throw new RangeError('Out of range index')\n  }\n\n  if (end <= start) {\n    return this\n  }\n\n  start = start >>> 0\n  end = end === undefined ? this.length : end >>> 0\n\n  if (!val) val = 0\n\n  var i\n  if (typeof val === 'number') {\n    for (i = start; i < end; ++i) {\n      this[i] = val\n    }\n  } else {\n    var bytes = Buffer.isBuffer(val)\n      ? val\n      : Buffer.from(val, encoding)\n    var len = bytes.length\n    if (len === 0) {\n      throw new TypeError('The value \"' + val +\n        '\" is invalid for argument \"value\"')\n    }\n    for (i = 0; i < end - start; ++i) {\n      this[i + start] = bytes[i % len]\n    }\n  }\n\n  return this\n}\n\n// HELPER FUNCTIONS\n// ================\n\nvar INVALID_BASE64_RE = /[^+/0-9A-Za-z-_]/g\n\nfunction base64clean (str) {\n  // Node takes equal signs as end of the Base64 encoding\n  str = str.split('=')[0]\n  // Node strips out invalid characters like \\n and \\t from the string, base64-js does not\n  str = str.trim().replace(INVALID_BASE64_RE, '')\n  // Node converts strings with length < 2 to ''\n  if (str.length < 2) return ''\n  // Node allows for non-padded base64 strings (missing trailing ===), base64-js does not\n  while (str.length % 4 !== 0) {\n    str = str + '='\n  }\n  return str\n}\n\nfunction toHex (n) {\n  if (n < 16) return '0' + n.toString(16)\n  return n.toString(16)\n}\n\nfunction utf8ToBytes (string, units) {\n  units = units || Infinity\n  var codePoint\n  var length = string.length\n  var leadSurrogate = null\n  var bytes = []\n\n  for (var i = 0; i < length; ++i) {\n    codePoint = string.charCodeAt(i)\n\n    // is surrogate component\n    if (codePoint > 0xD7FF && codePoint < 0xE000) {\n      // last char was a lead\n      if (!leadSurrogate) {\n        // no lead yet\n        if (codePoint > 0xDBFF) {\n          // unexpected trail\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        } else if (i + 1 === length) {\n          // unpaired lead\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        }\n\n        // valid lead\n        leadSurrogate = codePoint\n\n        continue\n      }\n\n      // 2 leads in a row\n      if (codePoint < 0xDC00) {\n        if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n        leadSurrogate = codePoint\n        continue\n      }\n\n      // valid surrogate pair\n      codePoint = (leadSurrogate - 0xD800 << 10 | codePoint - 0xDC00) + 0x10000\n    } else if (leadSurrogate) {\n      // valid bmp char, but last char was a lead\n      if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n    }\n\n    leadSurrogate = null\n\n    // encode utf8\n    if (codePoint < 0x80) {\n      if ((units -= 1) < 0) break\n      bytes.push(codePoint)\n    } else if (codePoint < 0x800) {\n      if ((units -= 2) < 0) break\n      bytes.push(\n        codePoint >> 0x6 | 0xC0,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x10000) {\n      if ((units -= 3) < 0) break\n      bytes.push(\n        codePoint >> 0xC | 0xE0,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x110000) {\n      if ((units -= 4) < 0) break\n      bytes.push(\n        codePoint >> 0x12 | 0xF0,\n        codePoint >> 0xC & 0x3F | 0x80,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else {\n      throw new Error('Invalid code point')\n    }\n  }\n\n  return bytes\n}\n\nfunction asciiToBytes (str) {\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    // Node's code seems to be doing this and not & 0x7F..\n    byteArray.push(str.charCodeAt(i) & 0xFF)\n  }\n  return byteArray\n}\n\nfunction utf16leToBytes (str, units) {\n  var c, hi, lo\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    if ((units -= 2) < 0) break\n\n    c = str.charCodeAt(i)\n    hi = c >> 8\n    lo = c % 256\n    byteArray.push(lo)\n    byteArray.push(hi)\n  }\n\n  return byteArray\n}\n\nfunction base64ToBytes (str) {\n  return base64.toByteArray(base64clean(str))\n}\n\nfunction blitBuffer (src, dst, offset, length) {\n  for (var i = 0; i < length; ++i) {\n    if ((i + offset >= dst.length) || (i >= src.length)) break\n    dst[i + offset] = src[i]\n  }\n  return i\n}\n\n// ArrayBuffer or Uint8Array objects from other contexts (i.e. iframes) do not pass\n// the `instanceof` check but they should be treated as of that type.\n// See: https://github.com/feross/buffer/issues/166\nfunction isInstance (obj, type) {\n  return obj instanceof type ||\n    (obj != null && obj.constructor != null && obj.constructor.name != null &&\n      obj.constructor.name === type.name)\n}\nfunction numberIsNaN (obj) {\n  // For IE11 support\n  return obj !== obj // eslint-disable-line no-self-compare\n}\n\n},{\"base64-js\":62,\"ieee754\":395}],94:[function(_dereq_,module,exports){\n'use strict'\n\nvar monotoneTriangulate = _dereq_('./lib/monotone')\nvar makeIndex = _dereq_('./lib/triangulation')\nvar delaunayFlip = _dereq_('./lib/delaunay')\nvar filterTriangulation = _dereq_('./lib/filter')\n\nmodule.exports = cdt2d\n\nfunction canonicalizeEdge(e) {\n  return [Math.min(e[0], e[1]), Math.max(e[0], e[1])]\n}\n\nfunction compareEdge(a, b) {\n  return a[0]-b[0] || a[1]-b[1]\n}\n\nfunction canonicalizeEdges(edges) {\n  return edges.map(canonicalizeEdge).sort(compareEdge)\n}\n\nfunction getDefault(options, property, dflt) {\n  if(property in options) {\n    return options[property]\n  }\n  return dflt\n}\n\nfunction cdt2d(points, edges, options) {\n\n  if(!Array.isArray(edges)) {\n    options = edges || {}\n    edges = []\n  } else {\n    options = options || {}\n    edges = edges || []\n  }\n\n  //Parse out options\n  var delaunay = !!getDefault(options, 'delaunay', true)\n  var interior = !!getDefault(options, 'interior', true)\n  var exterior = !!getDefault(options, 'exterior', true)\n  var infinity = !!getDefault(options, 'infinity', false)\n\n  //Handle trivial case\n  if((!interior && !exterior) || points.length === 0) {\n    return []\n  }\n\n  //Construct initial triangulation\n  var cells = monotoneTriangulate(points, edges)\n\n  //If delaunay refinement needed, then improve quality by edge flipping\n  if(delaunay || interior !== exterior || infinity) {\n\n    //Index all of the cells to support fast neighborhood queries\n    var triangulation = makeIndex(points.length, canonicalizeEdges(edges))\n    for(var i=0; i<cells.length; ++i) {\n      var f = cells[i]\n      triangulation.addTriangle(f[0], f[1], f[2])\n    }\n\n    //Run edge flipping\n    if(delaunay) {\n      delaunayFlip(points, triangulation)\n    }\n\n    //Filter points\n    if(!exterior) {\n      return filterTriangulation(triangulation, -1)\n    } else if(!interior) {\n      return filterTriangulation(triangulation,  1, infinity)\n    } else if(infinity) {\n      return filterTriangulation(triangulation, 0, infinity)\n    } else {\n      return triangulation.cells()\n    }\n    \n  } else {\n    return cells\n  }\n}\n\n},{\"./lib/delaunay\":95,\"./lib/filter\":96,\"./lib/monotone\":97,\"./lib/triangulation\":98}],95:[function(_dereq_,module,exports){\n'use strict'\n\nvar inCircle = _dereq_('robust-in-sphere')[4]\nvar bsearch = _dereq_('binary-search-bounds')\n\nmodule.exports = delaunayRefine\n\nfunction testFlip(points, triangulation, stack, a, b, x) {\n  var y = triangulation.opposite(a, b)\n\n  //Test boundary edge\n  if(y < 0) {\n    return\n  }\n\n  //Swap edge if order flipped\n  if(b < a) {\n    var tmp = a\n    a = b\n    b = tmp\n    tmp = x\n    x = y\n    y = tmp\n  }\n\n  //Test if edge is constrained\n  if(triangulation.isConstraint(a, b)) {\n    return\n  }\n\n  //Test if edge is delaunay\n  if(inCircle(points[a], points[b], points[x], points[y]) < 0) {\n    stack.push(a, b)\n  }\n}\n\n//Assume edges are sorted lexicographically\nfunction delaunayRefine(points, triangulation) {\n  var stack = []\n\n  var numPoints = points.length\n  var stars = triangulation.stars\n  for(var a=0; a<numPoints; ++a) {\n    var star = stars[a]\n    for(var j=1; j<star.length; j+=2) {\n      var b = star[j]\n\n      //If order is not consistent, then skip edge\n      if(b < a) {\n        continue\n      }\n\n      //Check if edge is constrained\n      if(triangulation.isConstraint(a, b)) {\n        continue\n      }\n\n      //Find opposite edge\n      var x = star[j-1], y = -1\n      for(var k=1; k<star.length; k+=2) {\n        if(star[k-1] === b) {\n          y = star[k]\n          break\n        }\n      }\n\n      //If this is a boundary edge, don't flip it\n      if(y < 0) {\n        continue\n      }\n\n      //If edge is in circle, flip it\n      if(inCircle(points[a], points[b], points[x], points[y]) < 0) {\n        stack.push(a, b)\n      }\n    }\n  }\n\n  while(stack.length > 0) {\n    var b = stack.pop()\n    var a = stack.pop()\n\n    //Find opposite pairs\n    var x = -1, y = -1\n    var star = stars[a]\n    for(var i=1; i<star.length; i+=2) {\n      var s = star[i-1]\n      var t = star[i]\n      if(s === b) {\n        y = t\n      } else if(t === b) {\n        x = s\n      }\n    }\n\n    //If x/y are both valid then skip edge\n    if(x < 0 || y < 0) {\n      continue\n    }\n\n    //If edge is now delaunay, then don't flip it\n    if(inCircle(points[a], points[b], points[x], points[y]) >= 0) {\n      continue\n    }\n\n    //Flip the edge\n    triangulation.flip(a, b)\n\n    //Test flipping neighboring edges\n    testFlip(points, triangulation, stack, x, a, y)\n    testFlip(points, triangulation, stack, a, y, x)\n    testFlip(points, triangulation, stack, y, b, x)\n    testFlip(points, triangulation, stack, b, x, y)\n  }\n}\n\n},{\"binary-search-bounds\":99,\"robust-in-sphere\":484}],96:[function(_dereq_,module,exports){\n'use strict'\n\nvar bsearch = _dereq_('binary-search-bounds')\n\nmodule.exports = classifyFaces\n\nfunction FaceIndex(cells, neighbor, constraint, flags, active, next, boundary) {\n  this.cells       = cells\n  this.neighbor    = neighbor\n  this.flags       = flags\n  this.constraint  = constraint\n  this.active      = active\n  this.next        = next\n  this.boundary    = boundary\n}\n\nvar proto = FaceIndex.prototype\n\nfunction compareCell(a, b) {\n  return a[0] - b[0] ||\n         a[1] - b[1] ||\n         a[2] - b[2]\n}\n\nproto.locate = (function() {\n  var key = [0,0,0]\n  return function(a, b, c) {\n    var x = a, y = b, z = c\n    if(b < c) {\n      if(b < a) {\n        x = b\n        y = c\n        z = a\n      }\n    } else if(c < a) {\n      x = c\n      y = a\n      z = b\n    }\n    if(x < 0) {\n      return -1\n    }\n    key[0] = x\n    key[1] = y\n    key[2] = z\n    return bsearch.eq(this.cells, key, compareCell)\n  }\n})()\n\nfunction indexCells(triangulation, infinity) {\n  //First get cells and canonicalize\n  var cells = triangulation.cells()\n  var nc = cells.length\n  for(var i=0; i<nc; ++i) {\n    var c = cells[i]\n    var x = c[0], y = c[1], z = c[2]\n    if(y < z) {\n      if(y < x) {\n        c[0] = y\n        c[1] = z\n        c[2] = x\n      }\n    } else if(z < x) {\n      c[0] = z\n      c[1] = x\n      c[2] = y\n    }\n  }\n  cells.sort(compareCell)\n\n  //Initialize flag array\n  var flags = new Array(nc)\n  for(var i=0; i<flags.length; ++i) {\n    flags[i] = 0\n  }\n\n  //Build neighbor index, initialize queues\n  var active = []\n  var next   = []\n  var neighbor = new Array(3*nc)\n  var constraint = new Array(3*nc)\n  var boundary = null\n  if(infinity) {\n    boundary = []\n  }\n  var index = new FaceIndex(\n    cells,\n    neighbor,\n    constraint,\n    flags,\n    active,\n    next,\n    boundary)\n  for(var i=0; i<nc; ++i) {\n    var c = cells[i]\n    for(var j=0; j<3; ++j) {\n      var x = c[j], y = c[(j+1)%3]\n      var a = neighbor[3*i+j] = index.locate(y, x, triangulation.opposite(y, x))\n      var b = constraint[3*i+j] = triangulation.isConstraint(x, y)\n      if(a < 0) {\n        if(b) {\n          next.push(i)\n        } else {\n          active.push(i)\n          flags[i] = 1\n        }\n        if(infinity) {\n          boundary.push([y, x, -1])\n        }\n      }\n    }\n  }\n  return index\n}\n\nfunction filterCells(cells, flags, target) {\n  var ptr = 0\n  for(var i=0; i<cells.length; ++i) {\n    if(flags[i] === target) {\n      cells[ptr++] = cells[i]\n    }\n  }\n  cells.length = ptr\n  return cells\n}\n\nfunction classifyFaces(triangulation, target, infinity) {\n  var index = indexCells(triangulation, infinity)\n\n  if(target === 0) {\n    if(infinity) {\n      return index.cells.concat(index.boundary)\n    } else {\n      return index.cells\n    }\n  }\n\n  var side = 1\n  var active = index.active\n  var next = index.next\n  var flags = index.flags\n  var cells = index.cells\n  var constraint = index.constraint\n  var neighbor = index.neighbor\n\n  while(active.length > 0 || next.length > 0) {\n    while(active.length > 0) {\n      var t = active.pop()\n      if(flags[t] === -side) {\n        continue\n      }\n      flags[t] = side\n      var c = cells[t]\n      for(var j=0; j<3; ++j) {\n        var f = neighbor[3*t+j]\n        if(f >= 0 && flags[f] === 0) {\n          if(constraint[3*t+j]) {\n            next.push(f)\n          } else {\n            active.push(f)\n            flags[f] = side\n          }\n        }\n      }\n    }\n\n    //Swap arrays and loop\n    var tmp = next\n    next = active\n    active = tmp\n    next.length = 0\n    side = -side\n  }\n\n  var result = filterCells(cells, flags, target)\n  if(infinity) {\n    return result.concat(index.boundary)\n  }\n  return result\n}\n\n},{\"binary-search-bounds\":99}],97:[function(_dereq_,module,exports){\n'use strict'\n\nvar bsearch = _dereq_('binary-search-bounds')\nvar orient = _dereq_('robust-orientation')[3]\n\nvar EVENT_POINT = 0\nvar EVENT_END   = 1\nvar EVENT_START = 2\n\nmodule.exports = monotoneTriangulate\n\n//A partial convex hull fragment, made of two unimonotone polygons\nfunction PartialHull(a, b, idx, lowerIds, upperIds) {\n  this.a = a\n  this.b = b\n  this.idx = idx\n  this.lowerIds = lowerIds\n  this.upperIds = upperIds\n}\n\n//An event in the sweep line procedure\nfunction Event(a, b, type, idx) {\n  this.a    = a\n  this.b    = b\n  this.type = type\n  this.idx  = idx\n}\n\n//This is used to compare events for the sweep line procedure\n// Points are:\n//  1. sorted lexicographically\n//  2. sorted by type  (point < end < start)\n//  3. segments sorted by winding order\n//  4. sorted by index\nfunction compareEvent(a, b) {\n  var d =\n    (a.a[0] - b.a[0]) ||\n    (a.a[1] - b.a[1]) ||\n    (a.type - b.type)\n  if(d) { return d }\n  if(a.type !== EVENT_POINT) {\n    d = orient(a.a, a.b, b.b)\n    if(d) { return d }\n  }\n  return a.idx - b.idx\n}\n\nfunction testPoint(hull, p) {\n  return orient(hull.a, hull.b, p)\n}\n\nfunction addPoint(cells, hulls, points, p, idx) {\n  var lo = bsearch.lt(hulls, p, testPoint)\n  var hi = bsearch.gt(hulls, p, testPoint)\n  for(var i=lo; i<hi; ++i) {\n    var hull = hulls[i]\n\n    //Insert p into lower hull\n    var lowerIds = hull.lowerIds\n    var m = lowerIds.length\n    while(m > 1 && orient(\n        points[lowerIds[m-2]],\n        points[lowerIds[m-1]],\n        p) > 0) {\n      cells.push(\n        [lowerIds[m-1],\n         lowerIds[m-2],\n         idx])\n      m -= 1\n    }\n    lowerIds.length = m\n    lowerIds.push(idx)\n\n    //Insert p into upper hull\n    var upperIds = hull.upperIds\n    var m = upperIds.length\n    while(m > 1 && orient(\n        points[upperIds[m-2]],\n        points[upperIds[m-1]],\n        p) < 0) {\n      cells.push(\n        [upperIds[m-2],\n         upperIds[m-1],\n         idx])\n      m -= 1\n    }\n    upperIds.length = m\n    upperIds.push(idx)\n  }\n}\n\nfunction findSplit(hull, edge) {\n  var d\n  if(hull.a[0] < edge.a[0]) {\n    d = orient(hull.a, hull.b, edge.a)\n  } else {\n    d = orient(edge.b, edge.a, hull.a)\n  }\n  if(d) { return d }\n  if(edge.b[0] < hull.b[0]) {\n    d = orient(hull.a, hull.b, edge.b)\n  } else {\n    d = orient(edge.b, edge.a, hull.b)\n  }\n  return d || hull.idx - edge.idx\n}\n\nfunction splitHulls(hulls, points, event) {\n  var splitIdx = bsearch.le(hulls, event, findSplit)\n  var hull = hulls[splitIdx]\n  var upperIds = hull.upperIds\n  var x = upperIds[upperIds.length-1]\n  hull.upperIds = [x]\n  hulls.splice(splitIdx+1, 0,\n    new PartialHull(event.a, event.b, event.idx, [x], upperIds))\n}\n\n\nfunction mergeHulls(hulls, points, event) {\n  //Swap pointers for merge search\n  var tmp = event.a\n  event.a = event.b\n  event.b = tmp\n  var mergeIdx = bsearch.eq(hulls, event, findSplit)\n  var upper = hulls[mergeIdx]\n  var lower = hulls[mergeIdx-1]\n  lower.upperIds = upper.upperIds\n  hulls.splice(mergeIdx, 1)\n}\n\n\nfunction monotoneTriangulate(points, edges) {\n\n  var numPoints = points.length\n  var numEdges = edges.length\n\n  var events = []\n\n  //Create point events\n  for(var i=0; i<numPoints; ++i) {\n    events.push(new Event(\n      points[i],\n      null,\n      EVENT_POINT,\n      i))\n  }\n\n  //Create edge events\n  for(var i=0; i<numEdges; ++i) {\n    var e = edges[i]\n    var a = points[e[0]]\n    var b = points[e[1]]\n    if(a[0] < b[0]) {\n      events.push(\n        new Event(a, b, EVENT_START, i),\n        new Event(b, a, EVENT_END, i))\n    } else if(a[0] > b[0]) {\n      events.push(\n        new Event(b, a, EVENT_START, i),\n        new Event(a, b, EVENT_END, i))\n    }\n  }\n\n  //Sort events\n  events.sort(compareEvent)\n\n  //Initialize hull\n  var minX = events[0].a[0] - (1 + Math.abs(events[0].a[0])) * Math.pow(2, -52)\n  var hull = [ new PartialHull([minX, 1], [minX, 0], -1, [], [], [], []) ]\n\n  //Process events in order\n  var cells = []\n  for(var i=0, numEvents=events.length; i<numEvents; ++i) {\n    var event = events[i]\n    var type = event.type\n    if(type === EVENT_POINT) {\n      addPoint(cells, hull, points, event.a, event.idx)\n    } else if(type === EVENT_START) {\n      splitHulls(hull, points, event)\n    } else {\n      mergeHulls(hull, points, event)\n    }\n  }\n\n  //Return triangulation\n  return cells\n}\n\n},{\"binary-search-bounds\":99,\"robust-orientation\":486}],98:[function(_dereq_,module,exports){\n'use strict'\n\nvar bsearch = _dereq_('binary-search-bounds')\n\nmodule.exports = createTriangulation\n\nfunction Triangulation(stars, edges) {\n  this.stars = stars\n  this.edges = edges\n}\n\nvar proto = Triangulation.prototype\n\nfunction removePair(list, j, k) {\n  for(var i=1, n=list.length; i<n; i+=2) {\n    if(list[i-1] === j && list[i] === k) {\n      list[i-1] = list[n-2]\n      list[i] = list[n-1]\n      list.length = n - 2\n      return\n    }\n  }\n}\n\nproto.isConstraint = (function() {\n  var e = [0,0]\n  function compareLex(a, b) {\n    return a[0] - b[0] || a[1] - b[1]\n  }\n  return function(i, j) {\n    e[0] = Math.min(i,j)\n    e[1] = Math.max(i,j)\n    return bsearch.eq(this.edges, e, compareLex) >= 0\n  }\n})()\n\nproto.removeTriangle = function(i, j, k) {\n  var stars = this.stars\n  removePair(stars[i], j, k)\n  removePair(stars[j], k, i)\n  removePair(stars[k], i, j)\n}\n\nproto.addTriangle = function(i, j, k) {\n  var stars = this.stars\n  stars[i].push(j, k)\n  stars[j].push(k, i)\n  stars[k].push(i, j)\n}\n\nproto.opposite = function(j, i) {\n  var list = this.stars[i]\n  for(var k=1, n=list.length; k<n; k+=2) {\n    if(list[k] === j) {\n      return list[k-1]\n    }\n  }\n  return -1\n}\n\nproto.flip = function(i, j) {\n  var a = this.opposite(i, j)\n  var b = this.opposite(j, i)\n  this.removeTriangle(i, j, a)\n  this.removeTriangle(j, i, b)\n  this.addTriangle(i, b, a)\n  this.addTriangle(j, a, b)\n}\n\nproto.edges = function() {\n  var stars = this.stars\n  var result = []\n  for(var i=0, n=stars.length; i<n; ++i) {\n    var list = stars[i]\n    for(var j=0, m=list.length; j<m; j+=2) {\n      result.push([list[j], list[j+1]])\n    }\n  }\n  return result\n}\n\nproto.cells = function() {\n  var stars = this.stars\n  var result = []\n  for(var i=0, n=stars.length; i<n; ++i) {\n    var list = stars[i]\n    for(var j=0, m=list.length; j<m; j+=2) {\n      var s = list[j]\n      var t = list[j+1]\n      if(i < Math.min(s, t)) {\n        result.push([i, s, t])\n      }\n    }\n  }\n  return result\n}\n\nfunction createTriangulation(numVerts, edges) {\n  var stars = new Array(numVerts)\n  for(var i=0; i<numVerts; ++i) {\n    stars[i] = []\n  }\n  return new Triangulation(stars, edges)\n}\n\n},{\"binary-search-bounds\":99}],99:[function(_dereq_,module,exports){\n\"use strict\"\n\nfunction compileSearch(funcName, predicate, reversed, extraArgs, earlyOut) {\n  var code = [\n    \"function \", funcName, \"(a,l,h,\", extraArgs.join(\",\"),  \"){\",\n    earlyOut ? \"\" : \"var i=\", (reversed ? \"l-1\" : \"h+1\"),\n    \";while(l<=h){var m=(l+h)>>>1,x=a[m]\"]\n  if(earlyOut) {\n    if(predicate.indexOf(\"c\") < 0) {\n      code.push(\";if(x===y){return m}else if(x<=y){\")\n    } else {\n      code.push(\";var p=c(x,y);if(p===0){return m}else if(p<=0){\")\n    }\n  } else {\n    code.push(\";if(\", predicate, \"){i=m;\")\n  }\n  if(reversed) {\n    code.push(\"l=m+1}else{h=m-1}\")\n  } else {\n    code.push(\"h=m-1}else{l=m+1}\")\n  }\n  code.push(\"}\")\n  if(earlyOut) {\n    code.push(\"return -1};\")\n  } else {\n    code.push(\"return i};\")\n  }\n  return code.join(\"\")\n}\n\nfunction compileBoundsSearch(predicate, reversed, suffix, earlyOut) {\n  var result = new Function([\n  compileSearch(\"A\", \"x\" + predicate + \"y\", reversed, [\"y\"], earlyOut),\n  compileSearch(\"P\", \"c(x,y)\" + predicate + \"0\", reversed, [\"y\", \"c\"], earlyOut),\n\"function dispatchBsearch\", suffix, \"(a,y,c,l,h){\\\nif(typeof(c)==='function'){\\\nreturn P(a,(l===void 0)?0:l|0,(h===void 0)?a.length-1:h|0,y,c)\\\n}else{\\\nreturn A(a,(c===void 0)?0:c|0,(l===void 0)?a.length-1:l|0,y)\\\n}}\\\nreturn dispatchBsearch\", suffix].join(\"\"))\n  return result()\n}\n\nmodule.exports = {\n  ge: compileBoundsSearch(\">=\", false,  \"GE\"),\n  gt: compileBoundsSearch(\">\",  false,  \"GT\"),\n  lt: compileBoundsSearch(\"<\",  true,   \"LT\"),\n  le: compileBoundsSearch(\"<=\", true,   \"LE\"),\n  eq: compileBoundsSearch(\"-\",  true,   \"EQ\", true)\n}\n\n},{}],100:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = orientation\n\nfunction orientation(s) {\n  var p = 1\n  for(var i=1; i<s.length; ++i) {\n    for(var j=0; j<i; ++j) {\n      if(s[i] < s[j]) {\n        p = -p\n      } else if(s[j] === s[i]) {\n        return 0\n      }\n    }\n  }\n  return p\n}\n\n},{}],101:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar dup = _dereq_(\"dup\")\nvar solve = _dereq_(\"robust-linear-solve\")\n\nfunction dot(a, b) {\n  var s = 0.0\n  var d = a.length\n  for(var i=0; i<d; ++i) {\n    s += a[i] * b[i]\n  }\n  return s\n}\n\nfunction barycentricCircumcenter(points) {\n  var N = points.length\n  if(N === 0) {\n    return []\n  }\n  \n  var D = points[0].length\n  var A = dup([points.length+1, points.length+1], 1.0)\n  var b = dup([points.length+1], 1.0)\n  A[N][N] = 0.0\n  for(var i=0; i<N; ++i) {\n    for(var j=0; j<=i; ++j) {\n      A[j][i] = A[i][j] = 2.0 * dot(points[i], points[j])\n    }\n    b[i] = dot(points[i], points[i])\n  }\n  var x = solve(A, b)\n\n  var denom = 0.0\n  var h = x[N+1]\n  for(var i=0; i<h.length; ++i) {\n    denom += h[i]\n  }\n\n  var y = new Array(N)\n  for(var i=0; i<N; ++i) {\n    var h = x[i]\n    var numer = 0.0\n    for(var j=0; j<h.length; ++j) {\n      numer += h[j]\n    }\n    y[i] =  numer / denom\n  }\n\n  return y\n}\n\nfunction circumcenter(points) {\n  if(points.length === 0) {\n    return []\n  }\n  var D = points[0].length\n  var result = dup([D])\n  var weights = barycentricCircumcenter(points)\n  for(var i=0; i<points.length; ++i) {\n    for(var j=0; j<D; ++j) {\n      result[j] += points[i][j] * weights[i]\n    }\n  }\n  return result\n}\n\ncircumcenter.barycenetric = barycentricCircumcenter\nmodule.exports = circumcenter\n},{\"dup\":155,\"robust-linear-solve\":485}],102:[function(_dereq_,module,exports){\nmodule.exports = circumradius\n\nvar circumcenter = _dereq_('circumcenter')\n\nfunction circumradius(points) {\n  var center = circumcenter(points)\n  var avgDist = 0.0\n  for(var i=0; i<points.length; ++i) {\n    var p = points[i]\n    for(var j=0; j<center.length; ++j) {\n      avgDist += Math.pow(p[j] - center[j], 2)\n    }\n  }\n  return Math.sqrt(avgDist / points.length)\n}\n},{\"circumcenter\":101}],103:[function(_dereq_,module,exports){\nmodule.exports = clamp\n\nfunction clamp(value, min, max) {\n  return min < max\n    ? (value < min ? min : value > max ? max : value)\n    : (value < max ? max : value > min ? min : value)\n}\n\n},{}],104:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = cleanPSLG\n\nvar UnionFind = _dereq_('union-find')\nvar boxIntersect = _dereq_('box-intersect')\nvar segseg = _dereq_('robust-segment-intersect')\nvar rat = _dereq_('big-rat')\nvar ratCmp = _dereq_('big-rat/cmp')\nvar ratToFloat = _dereq_('big-rat/to-float')\nvar ratVec = _dereq_('rat-vec')\nvar nextafter = _dereq_('nextafter')\n\nvar solveIntersection = _dereq_('./lib/rat-seg-intersect')\n\n// Bounds on a rational number when rounded to a float\nfunction boundRat (r) {\n  var f = ratToFloat(r)\n  return [\n    nextafter(f, -Infinity),\n    nextafter(f, Infinity)\n  ]\n}\n\n// Convert a list of edges in a pslg to bounding boxes\nfunction boundEdges (points, edges) {\n  var bounds = new Array(edges.length)\n  for (var i = 0; i < edges.length; ++i) {\n    var e = edges[i]\n    var a = points[e[0]]\n    var b = points[e[1]]\n    bounds[i] = [\n      nextafter(Math.min(a[0], b[0]), -Infinity),\n      nextafter(Math.min(a[1], b[1]), -Infinity),\n      nextafter(Math.max(a[0], b[0]), Infinity),\n      nextafter(Math.max(a[1], b[1]), Infinity)\n    ]\n  }\n  return bounds\n}\n\n// Convert a list of points into bounding boxes by duplicating coords\nfunction boundPoints (points) {\n  var bounds = new Array(points.length)\n  for (var i = 0; i < points.length; ++i) {\n    var p = points[i]\n    bounds[i] = [\n      nextafter(p[0], -Infinity),\n      nextafter(p[1], -Infinity),\n      nextafter(p[0], Infinity),\n      nextafter(p[1], Infinity)\n    ]\n  }\n  return bounds\n}\n\n// Find all pairs of crossing edges in a pslg (given edge bounds)\nfunction getCrossings (points, edges, edgeBounds) {\n  var result = []\n  boxIntersect(edgeBounds, function (i, j) {\n    var e = edges[i]\n    var f = edges[j]\n    if (e[0] === f[0] || e[0] === f[1] ||\n      e[1] === f[0] || e[1] === f[1]) {\n      return\n    }\n    var a = points[e[0]]\n    var b = points[e[1]]\n    var c = points[f[0]]\n    var d = points[f[1]]\n    if (segseg(a, b, c, d)) {\n      result.push([i, j])\n    }\n  })\n  return result\n}\n\n// Find all pairs of crossing vertices in a pslg (given edge/vert bounds)\nfunction getTJunctions (points, edges, edgeBounds, vertBounds) {\n  var result = []\n  boxIntersect(edgeBounds, vertBounds, function (i, v) {\n    var e = edges[i]\n    if (e[0] === v || e[1] === v) {\n      return\n    }\n    var p = points[v]\n    var a = points[e[0]]\n    var b = points[e[1]]\n    if (segseg(a, b, p, p)) {\n      result.push([i, v])\n    }\n  })\n  return result\n}\n\n// Cut edges along crossings/tjunctions\nfunction cutEdges (floatPoints, edges, crossings, junctions, useColor) {\n  var i, e\n\n  // Convert crossings into tjunctions by constructing rational points\n  var ratPoints = floatPoints.map(function(p) {\n      return [\n          rat(p[0]),\n          rat(p[1])\n      ]\n  })\n  for (i = 0; i < crossings.length; ++i) {\n    var crossing = crossings[i]\n    e = crossing[0]\n    var f = crossing[1]\n    var ee = edges[e]\n    var ef = edges[f]\n    var x = solveIntersection(\n      ratVec(floatPoints[ee[0]]),\n      ratVec(floatPoints[ee[1]]),\n      ratVec(floatPoints[ef[0]]),\n      ratVec(floatPoints[ef[1]]))\n    if (!x) {\n      // Segments are parallel, should already be handled by t-junctions\n      continue\n    }\n    var idx = floatPoints.length\n    floatPoints.push([ratToFloat(x[0]), ratToFloat(x[1])])\n    ratPoints.push(x)\n    junctions.push([e, idx], [f, idx])\n  }\n\n  // Sort tjunctions\n  junctions.sort(function (a, b) {\n    if (a[0] !== b[0]) {\n      return a[0] - b[0]\n    }\n    var u = ratPoints[a[1]]\n    var v = ratPoints[b[1]]\n    return ratCmp(u[0], v[0]) || ratCmp(u[1], v[1])\n  })\n\n  // Split edges along junctions\n  for (i = junctions.length - 1; i >= 0; --i) {\n    var junction = junctions[i]\n    e = junction[0]\n\n    var edge = edges[e]\n    var s = edge[0]\n    var t = edge[1]\n\n    // Check if edge is not lexicographically sorted\n    var a = floatPoints[s]\n    var b = floatPoints[t]\n    if (((a[0] - b[0]) || (a[1] - b[1])) < 0) {\n      var tmp = s\n      s = t\n      t = tmp\n    }\n\n    // Split leading edge\n    edge[0] = s\n    var last = edge[1] = junction[1]\n\n    // If we are grouping edges by color, remember to track data\n    var color\n    if (useColor) {\n      color = edge[2]\n    }\n\n    // Split other edges\n    while (i > 0 && junctions[i - 1][0] === e) {\n      var junction = junctions[--i]\n      var next = junction[1]\n      if (useColor) {\n        edges.push([last, next, color])\n      } else {\n        edges.push([last, next])\n      }\n      last = next\n    }\n\n    // Add final edge\n    if (useColor) {\n      edges.push([last, t, color])\n    } else {\n      edges.push([last, t])\n    }\n  }\n\n  // Return constructed rational points\n  return ratPoints\n}\n\n// Merge overlapping points\nfunction dedupPoints (floatPoints, ratPoints, floatBounds) {\n  var numPoints = ratPoints.length\n  var uf = new UnionFind(numPoints)\n\n  // Compute rational bounds\n  var bounds = []\n  for (var i = 0; i < ratPoints.length; ++i) {\n    var p = ratPoints[i]\n    var xb = boundRat(p[0])\n    var yb = boundRat(p[1])\n    bounds.push([\n      nextafter(xb[0], -Infinity),\n      nextafter(yb[0], -Infinity),\n      nextafter(xb[1], Infinity),\n      nextafter(yb[1], Infinity)\n    ])\n  }\n\n  // Link all points with over lapping boxes\n  boxIntersect(bounds, function (i, j) {\n    uf.link(i, j)\n  })\n\n  // Do 1 pass over points to combine points in label sets\n  var noDupes = true\n  var labels = new Array(numPoints)\n  for (var i = 0; i < numPoints; ++i) {\n    var j = uf.find(i)\n    if (j !== i) {\n      // Clear no-dupes flag, zero out label\n      noDupes = false\n      // Make each point the top-left point from its cell\n      floatPoints[j] = [\n        Math.min(floatPoints[i][0], floatPoints[j][0]),\n        Math.min(floatPoints[i][1], floatPoints[j][1])\n      ]\n    }\n  }\n\n  // If no duplicates, return null to signal termination\n  if (noDupes) {\n    return null\n  }\n\n  var ptr = 0\n  for (var i = 0; i < numPoints; ++i) {\n    var j = uf.find(i)\n    if (j === i) {\n      labels[i] = ptr\n      floatPoints[ptr++] = floatPoints[i]\n    } else {\n      labels[i] = -1\n    }\n  }\n\n  floatPoints.length = ptr\n\n  // Do a second pass to fix up missing labels\n  for (var i = 0; i < numPoints; ++i) {\n    if (labels[i] < 0) {\n      labels[i] = labels[uf.find(i)]\n    }\n  }\n\n  // Return resulting union-find data structure\n  return labels\n}\n\nfunction compareLex2 (a, b) { return (a[0] - b[0]) || (a[1] - b[1]) }\nfunction compareLex3 (a, b) {\n  var d = (a[0] - b[0]) || (a[1] - b[1])\n  if (d) {\n    return d\n  }\n  if (a[2] < b[2]) {\n    return -1\n  } else if (a[2] > b[2]) {\n    return 1\n  }\n  return 0\n}\n\n// Remove duplicate edge labels\nfunction dedupEdges (edges, labels, useColor) {\n  if (edges.length === 0) {\n    return\n  }\n  if (labels) {\n    for (var i = 0; i < edges.length; ++i) {\n      var e = edges[i]\n      var a = labels[e[0]]\n      var b = labels[e[1]]\n      e[0] = Math.min(a, b)\n      e[1] = Math.max(a, b)\n    }\n  } else {\n    for (var i = 0; i < edges.length; ++i) {\n      var e = edges[i]\n      var a = e[0]\n      var b = e[1]\n      e[0] = Math.min(a, b)\n      e[1] = Math.max(a, b)\n    }\n  }\n  if (useColor) {\n    edges.sort(compareLex3)\n  } else {\n    edges.sort(compareLex2)\n  }\n  var ptr = 1\n  for (var i = 1; i < edges.length; ++i) {\n    var prev = edges[i - 1]\n    var next = edges[i]\n    if (next[0] === prev[0] && next[1] === prev[1] &&\n      (!useColor || next[2] === prev[2])) {\n      continue\n    }\n    edges[ptr++] = next\n  }\n  edges.length = ptr\n}\n\nfunction preRound (points, edges, useColor) {\n  var labels = dedupPoints(points, [], boundPoints(points))\n  dedupEdges(edges, labels, useColor)\n  return !!labels\n}\n\n// Repeat until convergence\nfunction snapRound (points, edges, useColor) {\n  // 1. find edge crossings\n  var edgeBounds = boundEdges(points, edges)\n  var crossings = getCrossings(points, edges, edgeBounds)\n\n  // 2. find t-junctions\n  var vertBounds = boundPoints(points)\n  var tjunctions = getTJunctions(points, edges, edgeBounds, vertBounds)\n\n  // 3. cut edges, construct rational points\n  var ratPoints = cutEdges(points, edges, crossings, tjunctions, useColor)\n\n  // 4. dedupe verts\n  var labels = dedupPoints(points, ratPoints, vertBounds)\n\n  // 5. dedupe edges\n  dedupEdges(edges, labels, useColor)\n\n  // 6. check termination\n  if (!labels) {\n    return (crossings.length > 0 || tjunctions.length > 0)\n  }\n\n  // More iterations necessary\n  return true\n}\n\n// Main loop, runs PSLG clean up until completion\nfunction cleanPSLG (points, edges, colors) {\n  // If using colors, augment edges with color data\n  var prevEdges\n  if (colors) {\n    prevEdges = edges\n    var augEdges = new Array(edges.length)\n    for (var i = 0; i < edges.length; ++i) {\n      var e = edges[i]\n      augEdges[i] = [e[0], e[1], colors[i]]\n    }\n    edges = augEdges\n  }\n\n  // First round: remove duplicate edges and points\n  var modified = preRound(points, edges, !!colors)\n\n  // Run snap rounding until convergence\n  while (snapRound(points, edges, !!colors)) {\n    modified = true\n  }\n\n  // Strip color tags\n  if (!!colors && modified) {\n    prevEdges.length = 0\n    colors.length = 0\n    for (var i = 0; i < edges.length; ++i) {\n      var e = edges[i]\n      prevEdges.push([e[0], e[1]])\n      colors.push(e[2])\n    }\n  }\n\n  return modified\n}\n\n},{\"./lib/rat-seg-intersect\":105,\"big-rat\":66,\"big-rat/cmp\":64,\"big-rat/to-float\":78,\"box-intersect\":84,\"nextafter\":434,\"rat-vec\":469,\"robust-segment-intersect\":489,\"union-find\":523}],105:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = solveIntersection\n\nvar ratMul = _dereq_('big-rat/mul')\nvar ratDiv = _dereq_('big-rat/div')\nvar ratSub = _dereq_('big-rat/sub')\nvar ratSign = _dereq_('big-rat/sign')\nvar rvSub = _dereq_('rat-vec/sub')\nvar rvAdd = _dereq_('rat-vec/add')\nvar rvMuls = _dereq_('rat-vec/muls')\n\nfunction ratPerp (a, b) {\n  return ratSub(ratMul(a[0], b[1]), ratMul(a[1], b[0]))\n}\n\n// Solve for intersection\n//  x = a + t (b-a)\n//  (x - c) ^ (d-c) = 0\n//  (t * (b-a) + (a-c) ) ^ (d-c) = 0\n//  t * (b-a)^(d-c) = (d-c)^(a-c)\n//  t = (d-c)^(a-c) / (b-a)^(d-c)\n\nfunction solveIntersection (a, b, c, d) {\n  var ba = rvSub(b, a)\n  var dc = rvSub(d, c)\n\n  var baXdc = ratPerp(ba, dc)\n\n  if (ratSign(baXdc) === 0) {\n    return null\n  }\n\n  var ac = rvSub(a, c)\n  var dcXac = ratPerp(dc, ac)\n\n  var t = ratDiv(dcXac, baXdc)\n  var s = rvMuls(ba, t)\n  var r = rvAdd(a, s)\n\n  return r\n}\n\n},{\"big-rat/div\":65,\"big-rat/mul\":75,\"big-rat/sign\":76,\"big-rat/sub\":77,\"rat-vec/add\":468,\"rat-vec/muls\":470,\"rat-vec/sub\":471}],106:[function(_dereq_,module,exports){\n/** @module  color-id */\r\n\r\n'use strict'\r\n\r\nvar clamp = _dereq_('clamp')\r\n\r\nmodule.exports = toNumber\r\nmodule.exports.to = toNumber\r\nmodule.exports.from = fromNumber\r\n\r\nfunction toNumber (rgba, normalized) {\r\n\tif(normalized == null) normalized = true\r\n\r\n\tvar r = rgba[0], g = rgba[1], b = rgba[2], a = rgba[3]\r\n\r\n\tif (a == null) a = normalized ? 1 : 255\r\n\r\n\tif (normalized) {\r\n\t\tr *= 255\r\n\t\tg *= 255\r\n\t\tb *= 255\r\n\t\ta *= 255\r\n\t}\r\n\r\n\tr = clamp(r, 0, 255) & 0xFF\r\n\tg = clamp(g, 0, 255) & 0xFF\r\n\tb = clamp(b, 0, 255) & 0xFF\r\n\ta = clamp(a, 0, 255) & 0xFF\r\n\r\n\t//hi-order shift converts to -1, so we can't use <<24\r\n\tvar n = (r * 0x01000000) + (g << 16) + (b << 8) + (a)\r\n\r\n\treturn n\r\n}\r\n\r\nfunction fromNumber (n, normalized) {\r\n\tn = +n\r\n\r\n\tvar r = n >>> 24\r\n\tvar g = (n & 0x00ff0000) >>> 16\r\n\tvar b = (n & 0x0000ff00) >>> 8\r\n\tvar a = n & 0x000000ff\r\n\r\n\tif (normalized === false) return [r, g, b, a]\r\n\r\n\treturn [r/255, g/255, b/255, a/255]\r\n}\r\n\n},{\"clamp\":103}],107:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = {\r\n\t\"aliceblue\": [240, 248, 255],\r\n\t\"antiquewhite\": [250, 235, 215],\r\n\t\"aqua\": [0, 255, 255],\r\n\t\"aquamarine\": [127, 255, 212],\r\n\t\"azure\": [240, 255, 255],\r\n\t\"beige\": [245, 245, 220],\r\n\t\"bisque\": [255, 228, 196],\r\n\t\"black\": [0, 0, 0],\r\n\t\"blanchedalmond\": [255, 235, 205],\r\n\t\"blue\": [0, 0, 255],\r\n\t\"blueviolet\": [138, 43, 226],\r\n\t\"brown\": [165, 42, 42],\r\n\t\"burlywood\": [222, 184, 135],\r\n\t\"cadetblue\": [95, 158, 160],\r\n\t\"chartreuse\": [127, 255, 0],\r\n\t\"chocolate\": [210, 105, 30],\r\n\t\"coral\": [255, 127, 80],\r\n\t\"cornflowerblue\": [100, 149, 237],\r\n\t\"cornsilk\": [255, 248, 220],\r\n\t\"crimson\": [220, 20, 60],\r\n\t\"cyan\": [0, 255, 255],\r\n\t\"darkblue\": [0, 0, 139],\r\n\t\"darkcyan\": [0, 139, 139],\r\n\t\"darkgoldenrod\": [184, 134, 11],\r\n\t\"darkgray\": [169, 169, 169],\r\n\t\"darkgreen\": [0, 100, 0],\r\n\t\"darkgrey\": [169, 169, 169],\r\n\t\"darkkhaki\": [189, 183, 107],\r\n\t\"darkmagenta\": [139, 0, 139],\r\n\t\"darkolivegreen\": [85, 107, 47],\r\n\t\"darkorange\": [255, 140, 0],\r\n\t\"darkorchid\": [153, 50, 204],\r\n\t\"darkred\": [139, 0, 0],\r\n\t\"darksalmon\": [233, 150, 122],\r\n\t\"darkseagreen\": [143, 188, 143],\r\n\t\"darkslateblue\": [72, 61, 139],\r\n\t\"darkslategray\": [47, 79, 79],\r\n\t\"darkslategrey\": [47, 79, 79],\r\n\t\"darkturquoise\": [0, 206, 209],\r\n\t\"darkviolet\": [148, 0, 211],\r\n\t\"deeppink\": [255, 20, 147],\r\n\t\"deepskyblue\": [0, 191, 255],\r\n\t\"dimgray\": [105, 105, 105],\r\n\t\"dimgrey\": [105, 105, 105],\r\n\t\"dodgerblue\": [30, 144, 255],\r\n\t\"firebrick\": [178, 34, 34],\r\n\t\"floralwhite\": [255, 250, 240],\r\n\t\"forestgreen\": [34, 139, 34],\r\n\t\"fuchsia\": [255, 0, 255],\r\n\t\"gainsboro\": [220, 220, 220],\r\n\t\"ghostwhite\": [248, 248, 255],\r\n\t\"gold\": [255, 215, 0],\r\n\t\"goldenrod\": [218, 165, 32],\r\n\t\"gray\": [128, 128, 128],\r\n\t\"green\": [0, 128, 0],\r\n\t\"greenyellow\": [173, 255, 47],\r\n\t\"grey\": [128, 128, 128],\r\n\t\"honeydew\": [240, 255, 240],\r\n\t\"hotpink\": [255, 105, 180],\r\n\t\"indianred\": [205, 92, 92],\r\n\t\"indigo\": [75, 0, 130],\r\n\t\"ivory\": [255, 255, 240],\r\n\t\"khaki\": [240, 230, 140],\r\n\t\"lavender\": [230, 230, 250],\r\n\t\"lavenderblush\": [255, 240, 245],\r\n\t\"lawngreen\": [124, 252, 0],\r\n\t\"lemonchiffon\": [255, 250, 205],\r\n\t\"lightblue\": [173, 216, 230],\r\n\t\"lightcoral\": [240, 128, 128],\r\n\t\"lightcyan\": [224, 255, 255],\r\n\t\"lightgoldenrodyellow\": [250, 250, 210],\r\n\t\"lightgray\": [211, 211, 211],\r\n\t\"lightgreen\": [144, 238, 144],\r\n\t\"lightgrey\": [211, 211, 211],\r\n\t\"lightpink\": [255, 182, 193],\r\n\t\"lightsalmon\": [255, 160, 122],\r\n\t\"lightseagreen\": [32, 178, 170],\r\n\t\"lightskyblue\": [135, 206, 250],\r\n\t\"lightslategray\": [119, 136, 153],\r\n\t\"lightslategrey\": [119, 136, 153],\r\n\t\"lightsteelblue\": [176, 196, 222],\r\n\t\"lightyellow\": [255, 255, 224],\r\n\t\"lime\": [0, 255, 0],\r\n\t\"limegreen\": [50, 205, 50],\r\n\t\"linen\": [250, 240, 230],\r\n\t\"magenta\": [255, 0, 255],\r\n\t\"maroon\": [128, 0, 0],\r\n\t\"mediumaquamarine\": [102, 205, 170],\r\n\t\"mediumblue\": [0, 0, 205],\r\n\t\"mediumorchid\": [186, 85, 211],\r\n\t\"mediumpurple\": [147, 112, 219],\r\n\t\"mediumseagreen\": [60, 179, 113],\r\n\t\"mediumslateblue\": [123, 104, 238],\r\n\t\"mediumspringgreen\": [0, 250, 154],\r\n\t\"mediumturquoise\": [72, 209, 204],\r\n\t\"mediumvioletred\": [199, 21, 133],\r\n\t\"midnightblue\": [25, 25, 112],\r\n\t\"mintcream\": [245, 255, 250],\r\n\t\"mistyrose\": [255, 228, 225],\r\n\t\"moccasin\": [255, 228, 181],\r\n\t\"navajowhite\": [255, 222, 173],\r\n\t\"navy\": [0, 0, 128],\r\n\t\"oldlace\": [253, 245, 230],\r\n\t\"olive\": [128, 128, 0],\r\n\t\"olivedrab\": [107, 142, 35],\r\n\t\"orange\": [255, 165, 0],\r\n\t\"orangered\": [255, 69, 0],\r\n\t\"orchid\": [218, 112, 214],\r\n\t\"palegoldenrod\": [238, 232, 170],\r\n\t\"palegreen\": [152, 251, 152],\r\n\t\"paleturquoise\": [175, 238, 238],\r\n\t\"palevioletred\": [219, 112, 147],\r\n\t\"papayawhip\": [255, 239, 213],\r\n\t\"peachpuff\": [255, 218, 185],\r\n\t\"peru\": [205, 133, 63],\r\n\t\"pink\": [255, 192, 203],\r\n\t\"plum\": [221, 160, 221],\r\n\t\"powderblue\": [176, 224, 230],\r\n\t\"purple\": [128, 0, 128],\r\n\t\"rebeccapurple\": [102, 51, 153],\r\n\t\"red\": [255, 0, 0],\r\n\t\"rosybrown\": [188, 143, 143],\r\n\t\"royalblue\": [65, 105, 225],\r\n\t\"saddlebrown\": [139, 69, 19],\r\n\t\"salmon\": [250, 128, 114],\r\n\t\"sandybrown\": [244, 164, 96],\r\n\t\"seagreen\": [46, 139, 87],\r\n\t\"seashell\": [255, 245, 238],\r\n\t\"sienna\": [160, 82, 45],\r\n\t\"silver\": [192, 192, 192],\r\n\t\"skyblue\": [135, 206, 235],\r\n\t\"slateblue\": [106, 90, 205],\r\n\t\"slategray\": [112, 128, 144],\r\n\t\"slategrey\": [112, 128, 144],\r\n\t\"snow\": [255, 250, 250],\r\n\t\"springgreen\": [0, 255, 127],\r\n\t\"steelblue\": [70, 130, 180],\r\n\t\"tan\": [210, 180, 140],\r\n\t\"teal\": [0, 128, 128],\r\n\t\"thistle\": [216, 191, 216],\r\n\t\"tomato\": [255, 99, 71],\r\n\t\"turquoise\": [64, 224, 208],\r\n\t\"violet\": [238, 130, 238],\r\n\t\"wheat\": [245, 222, 179],\r\n\t\"white\": [255, 255, 255],\r\n\t\"whitesmoke\": [245, 245, 245],\r\n\t\"yellow\": [255, 255, 0],\r\n\t\"yellowgreen\": [154, 205, 50]\r\n};\r\n\n},{}],108:[function(_dereq_,module,exports){\n/** @module  color-normalize */\r\n\r\n'use strict'\r\n\r\nvar rgba = _dereq_('color-rgba')\r\nvar clamp = _dereq_('clamp')\r\nvar dtype = _dereq_('dtype')\r\n\r\nmodule.exports = function normalize (color, type) {\r\n\tif (type === 'float' || !type) type = 'array'\r\n\tif (type === 'uint') type = 'uint8'\r\n\tif (type === 'uint_clamped') type = 'uint8_clamped'\r\n\tvar Ctor = dtype(type)\r\n\tvar output = new Ctor(4)\r\n\r\n\tvar normalize = type !== 'uint8' && type !== 'uint8_clamped'\r\n\r\n\t// attempt to parse non-array arguments\r\n\tif (!color.length || typeof color === 'string') {\r\n\t\tcolor = rgba(color)\r\n\t\tcolor[0] /= 255\r\n\t\tcolor[1] /= 255\r\n\t\tcolor[2] /= 255\r\n\t}\r\n\r\n\t// 0, 1 are possible contradictory values for Arrays:\r\n\t// [1,1,1] input gives [1,1,1] output instead of [1/255,1/255,1/255], which may be collision if input is meant to be uint.\r\n\t// converting [1,1,1] to [1/255,1/255,1/255] in case of float input gives larger mistake since [1,1,1] float is frequent edge value, whereas [0,1,1], [1,1,1] etc. uint inputs are relatively rare\r\n\tif (isInt(color)) {\r\n\t\toutput[0] = color[0]\r\n\t\toutput[1] = color[1]\r\n\t\toutput[2] = color[2]\r\n\t\toutput[3] = color[3] != null ? color[3] : 255\r\n\r\n\t\tif (normalize) {\r\n\t\t\toutput[0] /= 255\r\n\t\t\toutput[1] /= 255\r\n\t\t\toutput[2] /= 255\r\n\t\t\toutput[3] /= 255\r\n\t\t}\r\n\r\n\t\treturn output\r\n\t}\r\n\r\n\tif (!normalize) {\r\n\t\toutput[0] = clamp(Math.floor(color[0] * 255), 0, 255)\r\n\t\toutput[1] = clamp(Math.floor(color[1] * 255), 0, 255)\r\n\t\toutput[2] = clamp(Math.floor(color[2] * 255), 0, 255)\r\n\t\toutput[3] = color[3] == null ? 255 : clamp(Math.floor(color[3] * 255), 0, 255)\r\n\t} else {\r\n\t\toutput[0] = color[0]\r\n\t\toutput[1] = color[1]\r\n\t\toutput[2] = color[2]\r\n\t\toutput[3] = color[3] != null ? color[3] : 1\r\n\t}\r\n\r\n\treturn output\r\n}\r\n\r\nfunction isInt(color) {\r\n\tif (color instanceof Uint8Array || color instanceof Uint8ClampedArray) return true\r\n\r\n\tif (Array.isArray(color) &&\r\n\t\t(color[0] > 1 || color[0] === 0) &&\r\n\t\t(color[1] > 1 || color[1] === 0) &&\r\n\t\t(color[2] > 1 || color[2] === 0) &&\r\n\t\t(!color[3] || color[3] > 1)\r\n\t) return true\r\n\r\n\treturn false\r\n}\r\n\n},{\"clamp\":103,\"color-rgba\":110,\"dtype\":154}],109:[function(_dereq_,module,exports){\n(function (global){\n/**\r\n * @module color-parse\r\n */\r\n\r\n'use strict'\r\n\r\nvar names = _dereq_('color-name')\r\nvar isObject = _dereq_('is-plain-obj')\r\nvar defined = _dereq_('defined')\r\n\r\nmodule.exports = parse\r\n\r\n/**\r\n * Base hues\r\n * http://dev.w3.org/csswg/css-color/#typedef-named-hue\r\n */\r\n//FIXME: use external hue detector\r\nvar baseHues = {\r\n\tred: 0,\r\n\torange: 60,\r\n\tyellow: 120,\r\n\tgreen: 180,\r\n\tblue: 240,\r\n\tpurple: 300\r\n}\r\n\r\n/**\r\n * Parse color from the string passed\r\n *\r\n * @return {Object} A space indicator `space`, an array `values` and `alpha`\r\n */\r\nfunction parse (cstr) {\r\n\tvar m, parts = [], alpha = 1, space\r\n\r\n\tif (typeof cstr === 'string') {\r\n\t\t//keyword\r\n\t\tif (names[cstr]) {\r\n\t\t\tparts = names[cstr].slice()\r\n\t\t\tspace = 'rgb'\r\n\t\t}\r\n\r\n\t\t//reserved words\r\n\t\telse if (cstr === 'transparent') {\r\n\t\t\talpha = 0\r\n\t\t\tspace = 'rgb'\r\n\t\t\tparts = [0,0,0]\r\n\t\t}\r\n\r\n\t\t//hex\r\n\t\telse if (/^#[A-Fa-f0-9]+$/.test(cstr)) {\r\n\t\t\tvar base = cstr.slice(1)\r\n\t\t\tvar size = base.length\r\n\t\t\tvar isShort = size <= 4\r\n\t\t\talpha = 1\r\n\r\n\t\t\tif (isShort) {\r\n\t\t\t\tparts = [\r\n\t\t\t\t\tparseInt(base[0] + base[0], 16),\r\n\t\t\t\t\tparseInt(base[1] + base[1], 16),\r\n\t\t\t\t\tparseInt(base[2] + base[2], 16)\r\n\t\t\t\t]\r\n\t\t\t\tif (size === 4) {\r\n\t\t\t\t\talpha = parseInt(base[3] + base[3], 16) / 255\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\telse {\r\n\t\t\t\tparts = [\r\n\t\t\t\t\tparseInt(base[0] + base[1], 16),\r\n\t\t\t\t\tparseInt(base[2] + base[3], 16),\r\n\t\t\t\t\tparseInt(base[4] + base[5], 16)\r\n\t\t\t\t]\r\n\t\t\t\tif (size === 8) {\r\n\t\t\t\t\talpha = parseInt(base[6] + base[7], 16) / 255\r\n\t\t\t\t}\r\n\t\t\t}\r\n\r\n\t\t\tif (!parts[0]) parts[0] = 0\r\n\t\t\tif (!parts[1]) parts[1] = 0\r\n\t\t\tif (!parts[2]) parts[2] = 0\r\n\r\n\t\t\tspace = 'rgb'\r\n\t\t}\r\n\r\n\t\t//color space\r\n\t\telse if (m = /^((?:rgb|hs[lvb]|hwb|cmyk?|xy[zy]|gray|lab|lchu?v?|[ly]uv|lms)a?)\\s*\\(([^\\)]*)\\)/.exec(cstr)) {\r\n\t\t\tvar name = m[1]\r\n\t\t\tvar base = name.replace(/a$/, '')\r\n\t\t\tspace = base\r\n\t\t\tvar size = base === 'cmyk' ? 4 : base === 'gray' ? 1 : 3\r\n\t\t\tparts = m[2].trim()\r\n\t\t\t\t.split(/\\s*,\\s*/)\r\n\t\t\t\t.map(function (x, i) {\r\n\t\t\t\t\t//<percentage>\r\n\t\t\t\t\tif (/%$/.test(x)) {\r\n\t\t\t\t\t\t//alpha\r\n\t\t\t\t\t\tif (i === size)\treturn parseFloat(x) / 100\r\n\t\t\t\t\t\t//rgb\r\n\t\t\t\t\t\tif (base === 'rgb') return parseFloat(x) * 255 / 100\r\n\t\t\t\t\t\treturn parseFloat(x)\r\n\t\t\t\t\t}\r\n\t\t\t\t\t//hue\r\n\t\t\t\t\telse if (base[i] === 'h') {\r\n\t\t\t\t\t\t//<deg>\r\n\t\t\t\t\t\tif (/deg$/.test(x)) {\r\n\t\t\t\t\t\t\treturn parseFloat(x)\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t\t//<base-hue>\r\n\t\t\t\t\t\telse if (baseHues[x] !== undefined) {\r\n\t\t\t\t\t\t\treturn baseHues[x]\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\treturn parseFloat(x)\r\n\t\t\t\t})\r\n\r\n\t\t\tif (name === base) parts.push(1)\r\n\t\t\talpha = parts[size] === undefined ? 1 : parts[size]\r\n\t\t\tparts = parts.slice(0, size)\r\n\t\t}\r\n\r\n\t\t//named channels case\r\n\t\telse if (cstr.length > 10 && /[0-9](?:\\s|\\/)/.test(cstr)) {\r\n\t\t\tparts = cstr.match(/([0-9]+)/g).map(function (value) {\r\n\t\t\t\treturn parseFloat(value)\r\n\t\t\t})\r\n\r\n\t\t\tspace = cstr.match(/([a-z])/ig).join('').toLowerCase()\r\n\t\t}\r\n\t}\r\n\r\n\t//numeric case\r\n\telse if (!isNaN(cstr)) {\r\n\t\tspace = 'rgb'\r\n\t\tparts = [cstr >>> 16, (cstr & 0x00ff00) >>> 8, cstr & 0x0000ff]\r\n\t}\r\n\r\n\t//object case - detects css cases of rgb and hsl\r\n\telse if (isObject(cstr)) {\r\n\t\tvar r = defined(cstr.r, cstr.red, cstr.R, null)\r\n\r\n\t\tif (r !== null) {\r\n\t\t\tspace = 'rgb'\r\n\t\t\tparts = [\r\n\t\t\t\tr,\r\n\t\t\t\tdefined(cstr.g, cstr.green, cstr.G),\r\n\t\t\t\tdefined(cstr.b, cstr.blue, cstr.B)\r\n\t\t\t]\r\n\t\t}\r\n\t\telse {\r\n\t\t\tspace = 'hsl'\r\n\t\t\tparts = [\r\n\t\t\t\tdefined(cstr.h, cstr.hue, cstr.H),\r\n\t\t\t\tdefined(cstr.s, cstr.saturation, cstr.S),\r\n\t\t\t\tdefined(cstr.l, cstr.lightness, cstr.L, cstr.b, cstr.brightness)\r\n\t\t\t]\r\n\t\t}\r\n\r\n\t\talpha = defined(cstr.a, cstr.alpha, cstr.opacity, 1)\r\n\r\n\t\tif (cstr.opacity != null) alpha /= 100\r\n\t}\r\n\r\n\t//array\r\n\telse if (Array.isArray(cstr) || global.ArrayBuffer && ArrayBuffer.isView && ArrayBuffer.isView(cstr)) {\r\n\t\tparts = [cstr[0], cstr[1], cstr[2]]\r\n\t\tspace = 'rgb'\r\n\t\talpha = cstr.length === 4 ? cstr[3] : 1\r\n\t}\r\n\r\n\treturn {\r\n\t\tspace: space,\r\n\t\tvalues: parts,\r\n\t\talpha: alpha\r\n\t}\r\n}\r\n\n}).call(this,typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {})\n},{\"color-name\":107,\"defined\":149,\"is-plain-obj\":405}],110:[function(_dereq_,module,exports){\n/** @module  color-rgba */\r\n\r\n'use strict'\r\n\r\nvar parse = _dereq_('color-parse')\r\nvar hsl = _dereq_('color-space/hsl')\r\nvar clamp = _dereq_('clamp')\r\n\r\nmodule.exports = function rgba (color) {\r\n\tvar values, i, l\r\n\r\n\t//attempt to parse non-array arguments\r\n\tvar parsed = parse(color)\r\n\r\n\tif (!parsed.space) return []\r\n\r\n\tvalues = Array(3)\r\n\tvalues[0] = clamp(parsed.values[0], 0, 255)\r\n\tvalues[1] = clamp(parsed.values[1], 0, 255)\r\n\tvalues[2] = clamp(parsed.values[2], 0, 255)\r\n\r\n\tif (parsed.space[0] === 'h') {\r\n\t\tvalues = hsl.rgb(values)\r\n\t}\r\n\r\n\tvalues.push(clamp(parsed.alpha, 0, 1))\r\n\r\n\treturn values\r\n}\r\n\n},{\"clamp\":103,\"color-parse\":109,\"color-space/hsl\":111}],111:[function(_dereq_,module,exports){\n/**\n * @module color-space/hsl\n */\n'use strict'\n\nvar rgb = _dereq_('./rgb');\n\nmodule.exports = {\n\tname: 'hsl',\n\tmin: [0,0,0],\n\tmax: [360,100,100],\n\tchannel: ['hue', 'saturation', 'lightness'],\n\talias: ['HSL'],\n\n\trgb: function(hsl) {\n\t\tvar h = hsl[0] / 360,\n\t\t\t\ts = hsl[1] / 100,\n\t\t\t\tl = hsl[2] / 100,\n\t\t\t\tt1, t2, t3, rgb, val;\n\n\t\tif (s === 0) {\n\t\t\tval = l * 255;\n\t\t\treturn [val, val, val];\n\t\t}\n\n\t\tif (l < 0.5) {\n\t\t\tt2 = l * (1 + s);\n\t\t}\n\t\telse {\n\t\t\tt2 = l + s - l * s;\n\t\t}\n\t\tt1 = 2 * l - t2;\n\n\t\trgb = [0, 0, 0];\n\t\tfor (var i = 0; i < 3; i++) {\n\t\t\tt3 = h + 1 / 3 * - (i - 1);\n\t\t\tif (t3 < 0) {\n\t\t\t\tt3++;\n\t\t\t}\n\t\t\telse if (t3 > 1) {\n\t\t\t\tt3--;\n\t\t\t}\n\n\t\t\tif (6 * t3 < 1) {\n\t\t\t\tval = t1 + (t2 - t1) * 6 * t3;\n\t\t\t}\n\t\t\telse if (2 * t3 < 1) {\n\t\t\t\tval = t2;\n\t\t\t}\n\t\t\telse if (3 * t3 < 2) {\n\t\t\t\tval = t1 + (t2 - t1) * (2 / 3 - t3) * 6;\n\t\t\t}\n\t\t\telse {\n\t\t\t\tval = t1;\n\t\t\t}\n\n\t\t\trgb[i] = val * 255;\n\t\t}\n\n\t\treturn rgb;\n\t}\n};\n\n\n//extend rgb\nrgb.hsl = function(rgb) {\n\tvar r = rgb[0]/255,\n\t\t\tg = rgb[1]/255,\n\t\t\tb = rgb[2]/255,\n\t\t\tmin = Math.min(r, g, b),\n\t\t\tmax = Math.max(r, g, b),\n\t\t\tdelta = max - min,\n\t\t\th, s, l;\n\n\tif (max === min) {\n\t\th = 0;\n\t}\n\telse if (r === max) {\n\t\th = (g - b) / delta;\n\t}\n\telse if (g === max) {\n\t\th = 2 + (b - r) / delta;\n\t}\n\telse if (b === max) {\n\t\th = 4 + (r - g)/ delta;\n\t}\n\n\th = Math.min(h * 60, 360);\n\n\tif (h < 0) {\n\t\th += 360;\n\t}\n\n\tl = (min + max) / 2;\n\n\tif (max === min) {\n\t\ts = 0;\n\t}\n\telse if (l <= 0.5) {\n\t\ts = delta / (max + min);\n\t}\n\telse {\n\t\ts = delta / (2 - max - min);\n\t}\n\n\treturn [h, s * 100, l * 100];\n};\n\n},{\"./rgb\":112}],112:[function(_dereq_,module,exports){\n/**\n * RGB space.\n *\n * @module  color-space/rgb\n */\n'use strict'\n\nmodule.exports = {\n\tname: 'rgb',\n\tmin: [0,0,0],\n\tmax: [255,255,255],\n\tchannel: ['red', 'green', 'blue'],\n\talias: ['RGB']\n};\n\n},{}],113:[function(_dereq_,module,exports){\nmodule.exports={\n\t\"jet\":[{\"index\":0,\"rgb\":[0,0,131]},{\"index\":0.125,\"rgb\":[0,60,170]},{\"index\":0.375,\"rgb\":[5,255,255]},{\"index\":0.625,\"rgb\":[255,255,0]},{\"index\":0.875,\"rgb\":[250,0,0]},{\"index\":1,\"rgb\":[128,0,0]}],\n\n\t\"hsv\":[{\"index\":0,\"rgb\":[255,0,0]},{\"index\":0.169,\"rgb\":[253,255,2]},{\"index\":0.173,\"rgb\":[247,255,2]},{\"index\":0.337,\"rgb\":[0,252,4]},{\"index\":0.341,\"rgb\":[0,252,10]},{\"index\":0.506,\"rgb\":[1,249,255]},{\"index\":0.671,\"rgb\":[2,0,253]},{\"index\":0.675,\"rgb\":[8,0,253]},{\"index\":0.839,\"rgb\":[255,0,251]},{\"index\":0.843,\"rgb\":[255,0,245]},{\"index\":1,\"rgb\":[255,0,6]}],\n\n\t\"hot\":[{\"index\":0,\"rgb\":[0,0,0]},{\"index\":0.3,\"rgb\":[230,0,0]},{\"index\":0.6,\"rgb\":[255,210,0]},{\"index\":1,\"rgb\":[255,255,255]}],\n\n\t\"cool\":[{\"index\":0,\"rgb\":[0,255,255]},{\"index\":1,\"rgb\":[255,0,255]}],\n\n\t\"spring\":[{\"index\":0,\"rgb\":[255,0,255]},{\"index\":1,\"rgb\":[255,255,0]}],\n\n\t\"summer\":[{\"index\":0,\"rgb\":[0,128,102]},{\"index\":1,\"rgb\":[255,255,102]}],\n\n\t\"autumn\":[{\"index\":0,\"rgb\":[255,0,0]},{\"index\":1,\"rgb\":[255,255,0]}],\n\n\t\"winter\":[{\"index\":0,\"rgb\":[0,0,255]},{\"index\":1,\"rgb\":[0,255,128]}],\n\n\t\"bone\":[{\"index\":0,\"rgb\":[0,0,0]},{\"index\":0.376,\"rgb\":[84,84,116]},{\"index\":0.753,\"rgb\":[169,200,200]},{\"index\":1,\"rgb\":[255,255,255]}],\n\n\t\"copper\":[{\"index\":0,\"rgb\":[0,0,0]},{\"index\":0.804,\"rgb\":[255,160,102]},{\"index\":1,\"rgb\":[255,199,127]}],\n\n\t\"greys\":[{\"index\":0,\"rgb\":[0,0,0]},{\"index\":1,\"rgb\":[255,255,255]}],\n\n\t\"yignbu\":[{\"index\":0,\"rgb\":[8,29,88]},{\"index\":0.125,\"rgb\":[37,52,148]},{\"index\":0.25,\"rgb\":[34,94,168]},{\"index\":0.375,\"rgb\":[29,145,192]},{\"index\":0.5,\"rgb\":[65,182,196]},{\"index\":0.625,\"rgb\":[127,205,187]},{\"index\":0.75,\"rgb\":[199,233,180]},{\"index\":0.875,\"rgb\":[237,248,217]},{\"index\":1,\"rgb\":[255,255,217]}],\n\n\t\"greens\":[{\"index\":0,\"rgb\":[0,68,27]},{\"index\":0.125,\"rgb\":[0,109,44]},{\"index\":0.25,\"rgb\":[35,139,69]},{\"index\":0.375,\"rgb\":[65,171,93]},{\"index\":0.5,\"rgb\":[116,196,118]},{\"index\":0.625,\"rgb\":[161,217,155]},{\"index\":0.75,\"rgb\":[199,233,192]},{\"index\":0.875,\"rgb\":[229,245,224]},{\"index\":1,\"rgb\":[247,252,245]}],\n\n\t\"yiorrd\":[{\"index\":0,\"rgb\":[128,0,38]},{\"index\":0.125,\"rgb\":[189,0,38]},{\"index\":0.25,\"rgb\":[227,26,28]},{\"index\":0.375,\"rgb\":[252,78,42]},{\"index\":0.5,\"rgb\":[253,141,60]},{\"index\":0.625,\"rgb\":[254,178,76]},{\"index\":0.75,\"rgb\":[254,217,118]},{\"index\":0.875,\"rgb\":[255,237,160]},{\"index\":1,\"rgb\":[255,255,204]}],\n\n\t\"bluered\":[{\"index\":0,\"rgb\":[0,0,255]},{\"index\":1,\"rgb\":[255,0,0]}],\n\n\t\"rdbu\":[{\"index\":0,\"rgb\":[5,10,172]},{\"index\":0.35,\"rgb\":[106,137,247]},{\"index\":0.5,\"rgb\":[190,190,190]},{\"index\":0.6,\"rgb\":[220,170,132]},{\"index\":0.7,\"rgb\":[230,145,90]},{\"index\":1,\"rgb\":[178,10,28]}],\n\n\t\"picnic\":[{\"index\":0,\"rgb\":[0,0,255]},{\"index\":0.1,\"rgb\":[51,153,255]},{\"index\":0.2,\"rgb\":[102,204,255]},{\"index\":0.3,\"rgb\":[153,204,255]},{\"index\":0.4,\"rgb\":[204,204,255]},{\"index\":0.5,\"rgb\":[255,255,255]},{\"index\":0.6,\"rgb\":[255,204,255]},{\"index\":0.7,\"rgb\":[255,153,255]},{\"index\":0.8,\"rgb\":[255,102,204]},{\"index\":0.9,\"rgb\":[255,102,102]},{\"index\":1,\"rgb\":[255,0,0]}],\n\n\t\"rainbow\":[{\"index\":0,\"rgb\":[150,0,90]},{\"index\":0.125,\"rgb\":[0,0,200]},{\"index\":0.25,\"rgb\":[0,25,255]},{\"index\":0.375,\"rgb\":[0,152,255]},{\"index\":0.5,\"rgb\":[44,255,150]},{\"index\":0.625,\"rgb\":[151,255,0]},{\"index\":0.75,\"rgb\":[255,234,0]},{\"index\":0.875,\"rgb\":[255,111,0]},{\"index\":1,\"rgb\":[255,0,0]}],\n\n\t\"portland\":[{\"index\":0,\"rgb\":[12,51,131]},{\"index\":0.25,\"rgb\":[10,136,186]},{\"index\":0.5,\"rgb\":[242,211,56]},{\"index\":0.75,\"rgb\":[242,143,56]},{\"index\":1,\"rgb\":[217,30,30]}],\n\n\t\"blackbody\":[{\"index\":0,\"rgb\":[0,0,0]},{\"index\":0.2,\"rgb\":[230,0,0]},{\"index\":0.4,\"rgb\":[230,210,0]},{\"index\":0.7,\"rgb\":[255,255,255]},{\"index\":1,\"rgb\":[160,200,255]}],\n\n\t\"earth\":[{\"index\":0,\"rgb\":[0,0,130]},{\"index\":0.1,\"rgb\":[0,180,180]},{\"index\":0.2,\"rgb\":[40,210,40]},{\"index\":0.4,\"rgb\":[230,230,50]},{\"index\":0.6,\"rgb\":[120,70,20]},{\"index\":1,\"rgb\":[255,255,255]}],\n\n\t\"electric\":[{\"index\":0,\"rgb\":[0,0,0]},{\"index\":0.15,\"rgb\":[30,0,100]},{\"index\":0.4,\"rgb\":[120,0,100]},{\"index\":0.6,\"rgb\":[160,90,0]},{\"index\":0.8,\"rgb\":[230,200,0]},{\"index\":1,\"rgb\":[255,250,220]}],\n\n\t\"alpha\": [{\"index\":0, \"rgb\": [255,255,255,0]},{\"index\":1, \"rgb\": [255,255,255,1]}],\n\n\t\"viridis\": [{\"index\":0,\"rgb\":[68,1,84]},{\"index\":0.13,\"rgb\":[71,44,122]},{\"index\":0.25,\"rgb\":[59,81,139]},{\"index\":0.38,\"rgb\":[44,113,142]},{\"index\":0.5,\"rgb\":[33,144,141]},{\"index\":0.63,\"rgb\":[39,173,129]},{\"index\":0.75,\"rgb\":[92,200,99]},{\"index\":0.88,\"rgb\":[170,220,50]},{\"index\":1,\"rgb\":[253,231,37]}],\n\n\t\"inferno\": [{\"index\":0,\"rgb\":[0,0,4]},{\"index\":0.13,\"rgb\":[31,12,72]},{\"index\":0.25,\"rgb\":[85,15,109]},{\"index\":0.38,\"rgb\":[136,34,106]},{\"index\":0.5,\"rgb\":[186,54,85]},{\"index\":0.63,\"rgb\":[227,89,51]},{\"index\":0.75,\"rgb\":[249,140,10]},{\"index\":0.88,\"rgb\":[249,201,50]},{\"index\":1,\"rgb\":[252,255,164]}],\n\n\t\"magma\": [{\"index\":0,\"rgb\":[0,0,4]},{\"index\":0.13,\"rgb\":[28,16,68]},{\"index\":0.25,\"rgb\":[79,18,123]},{\"index\":0.38,\"rgb\":[129,37,129]},{\"index\":0.5,\"rgb\":[181,54,122]},{\"index\":0.63,\"rgb\":[229,80,100]},{\"index\":0.75,\"rgb\":[251,135,97]},{\"index\":0.88,\"rgb\":[254,194,135]},{\"index\":1,\"rgb\":[252,253,191]}],\n\n\t\"plasma\": [{\"index\":0,\"rgb\":[13,8,135]},{\"index\":0.13,\"rgb\":[75,3,161]},{\"index\":0.25,\"rgb\":[125,3,168]},{\"index\":0.38,\"rgb\":[168,34,150]},{\"index\":0.5,\"rgb\":[203,70,121]},{\"index\":0.63,\"rgb\":[229,107,93]},{\"index\":0.75,\"rgb\":[248,148,65]},{\"index\":0.88,\"rgb\":[253,195,40]},{\"index\":1,\"rgb\":[240,249,33]}],\n\n\t\"warm\": [{\"index\":0,\"rgb\":[125,0,179]},{\"index\":0.13,\"rgb\":[172,0,187]},{\"index\":0.25,\"rgb\":[219,0,170]},{\"index\":0.38,\"rgb\":[255,0,130]},{\"index\":0.5,\"rgb\":[255,63,74]},{\"index\":0.63,\"rgb\":[255,123,0]},{\"index\":0.75,\"rgb\":[234,176,0]},{\"index\":0.88,\"rgb\":[190,228,0]},{\"index\":1,\"rgb\":[147,255,0]}],\n\n\t\"cool\": [{\"index\":0,\"rgb\":[125,0,179]},{\"index\":0.13,\"rgb\":[116,0,218]},{\"index\":0.25,\"rgb\":[98,74,237]},{\"index\":0.38,\"rgb\":[68,146,231]},{\"index\":0.5,\"rgb\":[0,204,197]},{\"index\":0.63,\"rgb\":[0,247,146]},{\"index\":0.75,\"rgb\":[0,255,88]},{\"index\":0.88,\"rgb\":[40,255,8]},{\"index\":1,\"rgb\":[147,255,0]}],\n\n\t\"rainbow-soft\": 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[{\"index\":0,\"rgb\":[42,24,108]},{\"index\":0.13,\"rgb\":[33,50,162]},{\"index\":0.25,\"rgb\":[15,90,145]},{\"index\":0.38,\"rgb\":[40,118,137]},{\"index\":0.5,\"rgb\":[59,146,135]},{\"index\":0.63,\"rgb\":[79,175,126]},{\"index\":0.75,\"rgb\":[120,203,104]},{\"index\":0.88,\"rgb\":[193,221,100]},{\"index\":1,\"rgb\":[253,239,154]}],\n\n\t\"temperature\": [{\"index\":0,\"rgb\":[4,35,51]},{\"index\":0.13,\"rgb\":[23,51,122]},{\"index\":0.25,\"rgb\":[85,59,157]},{\"index\":0.38,\"rgb\":[129,79,143]},{\"index\":0.5,\"rgb\":[175,95,130]},{\"index\":0.63,\"rgb\":[222,112,101]},{\"index\":0.75,\"rgb\":[249,146,66]},{\"index\":0.88,\"rgb\":[249,196,65]},{\"index\":1,\"rgb\":[232,250,91]}],\n\n\t\"turbidity\": [{\"index\":0,\"rgb\":[34,31,27]},{\"index\":0.13,\"rgb\":[65,50,41]},{\"index\":0.25,\"rgb\":[98,69,52]},{\"index\":0.38,\"rgb\":[131,89,57]},{\"index\":0.5,\"rgb\":[161,112,59]},{\"index\":0.63,\"rgb\":[185,140,66]},{\"index\":0.75,\"rgb\":[202,174,88]},{\"index\":0.88,\"rgb\":[216,209,126]},{\"index\":1,\"rgb\":[233,246,171]}],\n\n\t\"velocity-blue\": [{\"index\":0,\"rgb\":[17,32,64]},{\"index\":0.13,\"rgb\":[35,52,116]},{\"index\":0.25,\"rgb\":[29,81,156]},{\"index\":0.38,\"rgb\":[31,113,162]},{\"index\":0.5,\"rgb\":[50,144,169]},{\"index\":0.63,\"rgb\":[87,173,176]},{\"index\":0.75,\"rgb\":[149,196,189]},{\"index\":0.88,\"rgb\":[203,221,211]},{\"index\":1,\"rgb\":[254,251,230]}],\n\n\t\"velocity-green\": [{\"index\":0,\"rgb\":[23,35,19]},{\"index\":0.13,\"rgb\":[24,64,38]},{\"index\":0.25,\"rgb\":[11,95,45]},{\"index\":0.38,\"rgb\":[39,123,35]},{\"index\":0.5,\"rgb\":[95,146,12]},{\"index\":0.63,\"rgb\":[152,165,18]},{\"index\":0.75,\"rgb\":[201,186,69]},{\"index\":0.88,\"rgb\":[233,216,137]},{\"index\":1,\"rgb\":[255,253,205]}],\n\n\t\"cubehelix\": [{\"index\":0,\"rgb\":[0,0,0]},{\"index\":0.07,\"rgb\":[22,5,59]},{\"index\":0.13,\"rgb\":[60,4,105]},{\"index\":0.2,\"rgb\":[109,1,135]},{\"index\":0.27,\"rgb\":[161,0,147]},{\"index\":0.33,\"rgb\":[210,2,142]},{\"index\":0.4,\"rgb\":[251,11,123]},{\"index\":0.47,\"rgb\":[255,29,97]},{\"index\":0.53,\"rgb\":[255,54,69]},{\"index\":0.6,\"rgb\":[255,85,46]},{\"index\":0.67,\"rgb\":[255,120,34]},{\"index\":0.73,\"rgb\":[255,157,37]},{\"index\":0.8,\"rgb\":[241,191,57]},{\"index\":0.87,\"rgb\":[224,220,93]},{\"index\":0.93,\"rgb\":[218,241,142]},{\"index\":1,\"rgb\":[227,253,198]}]\n};\n\n},{}],114:[function(_dereq_,module,exports){\n/*\n * Ben Postlethwaite\n * January 2013\n * License MIT\n */\n'use strict';\n\nvar colorScale = _dereq_('./colorScale');\nvar lerp = _dereq_('lerp')\n\nmodule.exports = createColormap;\n\nfunction createColormap (spec) {\n    /*\n     * Default Options\n     */\n    var indicies, rgba, fromrgba, torgba,\n        nsteps, cmap, colormap, format,\n        nshades, colors, alpha, index, i,\n        r = [],\n        g = [],\n        b = [],\n        a = [];\n\n    if ( !spec ) spec = {};\n\n    nshades = (spec.nshades || 72) - 1;\n    format = spec.format || 'hex';\n\n    colormap = spec.colormap;\n    if (!colormap) colormap = 'jet';\n\n    if (typeof colormap === 'string') {\n        colormap = colormap.toLowerCase();\n\n        if (!colorScale[colormap]) {\n            throw Error(colormap + ' not a supported colorscale');\n        }\n\n        cmap = colorScale[colormap];\n\n    } else if (Array.isArray(colormap)) {\n        cmap = colormap.slice();\n\n    } else {\n        throw Error('unsupported colormap option', colormap);\n    }\n\n    if (cmap.length > nshades) {\n        throw new Error(\n            colormap+' map requires nshades to be at least size '+cmap.length\n        );\n    }\n\n    if (!Array.isArray(spec.alpha)) {\n\n        if (typeof spec.alpha === 'number') {\n            alpha = [spec.alpha, spec.alpha];\n\n        } else {\n            alpha = [1, 1];\n        }\n\n    } else if (spec.alpha.length !== 2) {\n        alpha = [1, 1];\n\n    } else {\n        alpha = spec.alpha.slice();\n    }\n\n    // map index points from 0..1 to 0..n-1\n    indicies = cmap.map(function(c) {\n        return Math.round(c.index * nshades);\n    });\n\n    // Add alpha channel to the map\n    alpha[0] = Math.min(Math.max(alpha[0], 0), 1);\n    alpha[1] = Math.min(Math.max(alpha[1], 0), 1);\n\n    var steps = cmap.map(function(c, i) {\n        var index = cmap[i].index\n\n        var rgba = cmap[i].rgb.slice();\n\n        // if user supplies their own map use it\n        if (rgba.length === 4 && rgba[3] >= 0 && rgba[3] <= 1) {\n            return rgba\n        }\n        rgba[3] = alpha[0] + (alpha[1] - alpha[0])*index;\n\n        return rgba\n    })\n\n\n    /*\n     * map increasing linear values between indicies to\n     * linear steps in colorvalues\n     */\n    var colors = []\n    for (i = 0; i < indicies.length-1; ++i) {\n        nsteps = indicies[i+1] - indicies[i];\n        fromrgba = steps[i];\n        torgba = steps[i+1];\n\n        for (var j = 0; j < nsteps; j++) {\n            var amt = j / nsteps\n            colors.push([\n                Math.round(lerp(fromrgba[0], torgba[0], amt)),\n                Math.round(lerp(fromrgba[1], torgba[1], amt)),\n                Math.round(lerp(fromrgba[2], torgba[2], amt)),\n                lerp(fromrgba[3], torgba[3], amt)\n            ])\n        }\n    }\n\n    //add 1 step as last value\n    colors.push(cmap[cmap.length - 1].rgb.concat(alpha[1]))\n\n    if (format === 'hex') colors = colors.map( rgb2hex );\n    else if (format === 'rgbaString') colors = colors.map( rgbaStr );\n    else if (format === 'float') colors = colors.map( rgb2float );\n\n    return colors;\n};\n\nfunction rgb2float (rgba) {\n    return [\n        rgba[0] / 255,\n        rgba[1] / 255,\n        rgba[2] / 255,\n        rgba[3]\n    ]\n}\n\nfunction rgb2hex (rgba) {\n    var dig, hex = '#';\n    for (var i = 0; i < 3; ++i) {\n        dig = rgba[i];\n        dig = dig.toString(16);\n        hex += ('00' + dig).substr( dig.length );\n    }\n    return hex;\n}\n\nfunction rgbaStr (rgba) {\n    return 'rgba(' + rgba.join(',') + ')';\n}\n\n},{\"./colorScale\":113,\"lerp\":408}],115:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = compareAngle\n\nvar orient = _dereq_(\"robust-orientation\")\nvar sgn = _dereq_(\"signum\")\nvar twoSum = _dereq_(\"two-sum\")\nvar robustProduct = _dereq_(\"robust-product\")\nvar robustSum = _dereq_(\"robust-sum\")\n\nfunction testInterior(a, b, c) {\n  var x0 = twoSum(a[0], -b[0])\n  var y0 = twoSum(a[1], -b[1])\n  var x1 = twoSum(c[0], -b[0])\n  var y1 = twoSum(c[1], -b[1])\n\n  var d = robustSum(\n    robustProduct(x0, x1),\n    robustProduct(y0, y1))\n\n  return d[d.length-1] >= 0\n}\n\nfunction compareAngle(a, b, c, d) {\n  var bcd = orient(b, c, d)\n  if(bcd === 0) {\n    //Handle degenerate cases\n    var sabc = sgn(orient(a, b, c))\n    var sabd = sgn(orient(a, b, d))\n    if(sabc === sabd) {\n      if(sabc === 0) {\n        var ic = testInterior(a, b, c)\n        var id = testInterior(a, b, d)\n        if(ic === id) {\n          return 0\n        } else if(ic) {\n          return 1\n        } else {\n          return -1\n        }\n      }\n      return 0\n    } else if(sabd === 0) {\n      if(sabc > 0) {\n        return -1\n      } else if(testInterior(a, b, d)) {\n        return -1\n      } else {\n        return 1\n      }\n    } else if(sabc === 0) {\n      if(sabd > 0) {\n        return 1\n      } else if(testInterior(a, b, c)) {\n        return 1\n      } else {\n        return -1\n      }\n    }\n    return sgn(sabd - sabc)\n  }\n  var abc = orient(a, b, c)\n  if(abc > 0) {\n    if(bcd > 0 && orient(a, b, d) > 0) {\n      return 1\n    }\n    return -1\n  } else if(abc < 0) {\n    if(bcd > 0 || orient(a, b, d) > 0) {\n      return 1\n    }\n    return -1\n  } else {\n    var abd = orient(a, b, d)\n    if(abd > 0) {\n      return 1\n    } else {\n      if(testInterior(a, b, c)) {\n        return 1\n      } else {\n        return -1\n      }\n    }\n  }\n}\n},{\"robust-orientation\":486,\"robust-product\":487,\"robust-sum\":491,\"signum\":492,\"two-sum\":521}],116:[function(_dereq_,module,exports){\nmodule.exports = compareCells\n\nvar min = Math.min\n\nfunction compareInt(a, b) {\n  return a - b\n}\n\nfunction compareCells(a, b) {\n  var n = a.length\n    , t = a.length - b.length\n  if(t) {\n    return t\n  }\n  switch(n) {\n    case 0:\n      return 0\n    case 1:\n      return a[0] - b[0]\n    case 2:\n      return (a[0]+a[1]-b[0]-b[1]) ||\n             min(a[0],a[1]) - min(b[0],b[1])\n    case 3:\n      var l1 = a[0]+a[1]\n        , m1 = b[0]+b[1]\n      t = l1+a[2] - (m1+b[2])\n      if(t) {\n        return t\n      }\n      var l0 = min(a[0], a[1])\n        , m0 = min(b[0], b[1])\n      return min(l0, a[2]) - min(m0, b[2]) ||\n             min(l0+a[2], l1) - min(m0+b[2], m1)\n    case 4:\n      var aw=a[0], ax=a[1], ay=a[2], az=a[3]\n        , bw=b[0], bx=b[1], by=b[2], bz=b[3]\n      return (aw+ax+ay+az)-(bw+bx+by+bz) ||\n             min(aw,ax,ay,az)-min(bw,bx,by,bz,bw) ||\n             min(aw+ax,aw+ay,aw+az,ax+ay,ax+az,ay+az) -\n               min(bw+bx,bw+by,bw+bz,bx+by,bx+bz,by+bz) ||\n             min(aw+ax+ay,aw+ax+az,aw+ay+az,ax+ay+az) -\n               min(bw+bx+by,bw+bx+bz,bw+by+bz,bx+by+bz)\n    default:\n      var as = a.slice().sort(compareInt)\n      var bs = b.slice().sort(compareInt)\n      for(var i=0; i<n; ++i) {\n        t = as[i] - bs[i]\n        if(t) {\n          return t\n        }\n      }\n      return 0\n  }\n}\n\n},{}],117:[function(_dereq_,module,exports){\n'use strict'\n\nvar compareCells = _dereq_('compare-cell')\nvar parity = _dereq_('cell-orientation')\n\nmodule.exports = compareOrientedCells\n\nfunction compareOrientedCells(a, b) {\n  return compareCells(a, b) || parity(a) - parity(b)\n}\n\n},{\"cell-orientation\":100,\"compare-cell\":116}],118:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar convexHull1d = _dereq_('./lib/ch1d')\nvar convexHull2d = _dereq_('./lib/ch2d')\nvar convexHullnd = _dereq_('./lib/chnd')\n\nmodule.exports = convexHull\n\nfunction convexHull(points) {\n  var n = points.length\n  if(n === 0) {\n    return []\n  } else if(n === 1) {\n    return [[0]]\n  }\n  var d = points[0].length\n  if(d === 0) {\n    return []\n  } else if(d === 1) {\n    return convexHull1d(points)\n  } else if(d === 2) {\n    return convexHull2d(points)\n  }\n  return convexHullnd(points, d)\n}\n},{\"./lib/ch1d\":119,\"./lib/ch2d\":120,\"./lib/chnd\":121}],119:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = convexHull1d\n\nfunction convexHull1d(points) {\n  var lo = 0\n  var hi = 0\n  for(var i=1; i<points.length; ++i) {\n    if(points[i][0] < points[lo][0]) {\n      lo = i\n    }\n    if(points[i][0] > points[hi][0]) {\n      hi = i\n    }\n  }\n  if(lo < hi) {\n    return [[lo], [hi]]\n  } else if(lo > hi) {\n    return [[hi], [lo]]\n  } else {\n    return [[lo]]\n  }\n}\n},{}],120:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = convexHull2D\n\nvar monotoneHull = _dereq_('monotone-convex-hull-2d')\n\nfunction convexHull2D(points) {\n  var hull = monotoneHull(points)\n  var h = hull.length\n  if(h <= 2) {\n    return []\n  }\n  var edges = new Array(h)\n  var a = hull[h-1]\n  for(var i=0; i<h; ++i) {\n    var b = hull[i]\n    edges[i] = [a,b]\n    a = b\n  }\n  return edges\n}\n\n},{\"monotone-convex-hull-2d\":417}],121:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = convexHullnD\n\nvar ich = _dereq_('incremental-convex-hull')\nvar aff = _dereq_('affine-hull')\n\nfunction permute(points, front) {\n  var n = points.length\n  var npoints = new Array(n)\n  for(var i=0; i<front.length; ++i) {\n    npoints[i] = points[front[i]]\n  }\n  var ptr = front.length\n  for(var i=0; i<n; ++i) {\n    if(front.indexOf(i) < 0) {\n      npoints[ptr++] = points[i]\n    }\n  }\n  return npoints\n}\n\nfunction invPermute(cells, front) {\n  var nc = cells.length\n  var nf = front.length\n  for(var i=0; i<nc; ++i) {\n    var c = cells[i]\n    for(var j=0; j<c.length; ++j) {\n      var x = c[j]\n      if(x < nf) {\n        c[j] = front[x]\n      } else {\n        x = x - nf\n        for(var k=0; k<nf; ++k) {\n          if(x >= front[k]) {\n            x += 1\n          }\n        }\n        c[j] = x\n      }\n    }\n  }\n  return cells\n}\n\nfunction convexHullnD(points, d) {\n  try {\n    return ich(points, true)\n  } catch(e) {\n    //If point set is degenerate, try to find a basis and rerun it\n    var ah = aff(points)\n    if(ah.length <= d) {\n      //No basis, no try\n      return []\n    }\n    var npoints = permute(points, ah)\n    var nhull   = ich(npoints, true)\n    return invPermute(nhull, ah)\n  }\n}\n},{\"affine-hull\":50,\"incremental-convex-hull\":396}],122:[function(_dereq_,module,exports){\nmodule.exports = {\n  AFG: 'afghan',\n  ALA: '\\\\b\\\\wland',\n  ALB: 'albania',\n  DZA: 'algeria',\n  ASM: '^(?=.*americ).*samoa',\n  AND: 'andorra',\n  AGO: 'angola',\n  AIA: 'anguill?a',\n  ATA: 'antarctica',\n  ATG: 'antigua',\n  ARG: 'argentin',\n  ARM: 'armenia',\n  ABW: '^(?!.*bonaire).*\\\\baruba',\n  AUS: 'australia',\n  AUT: '^(?!.*hungary).*austria|\\\\baustri.*\\\\bemp',\n  AZE: 'azerbaijan',\n  BHS: 'bahamas',\n  BHR: 'bahrain',\n  BGD: 'bangladesh|^(?=.*east).*paki?stan',\n  BRB: 'barbados',\n  BLR: 'belarus|byelo',\n  BEL: '^(?!.*luxem).*belgium',\n  BLZ: 'belize|^(?=.*british).*honduras',\n  BEN: 'benin|dahome',\n  BMU: 'bermuda',\n  BTN: 'bhutan',\n  BOL: 'bolivia',\n  BES: '^(?=.*bonaire).*eustatius|^(?=.*carib).*netherlands|\\\\bbes.?islands',\n  BIH: 'herzegovina|bosnia',\n  BWA: 'botswana|bechuana',\n  BVT: 'bouvet',\n  BRA: 'brazil',\n  IOT: 'british.?indian.?ocean',\n  BRN: 'brunei',\n  BGR: 'bulgaria',\n  BFA: 'burkina|\\\\bfaso|upper.?volta',\n  BDI: 'burundi',\n  CPV: 'verde',\n  KHM: 'cambodia|kampuchea|khmer',\n  CMR: 'cameroon',\n  CAN: 'canada',\n  CYM: 'cayman',\n  CAF: '\\\\bcentral.african.republic',\n  TCD: '\\\\bchad',\n  CHL: '\\\\bchile',\n  CHN: '^(?!.*\\\\bmac)(?!.*\\\\bhong)(?!.*\\\\btai)(?!.*\\\\brep).*china|^(?=.*peo)(?=.*rep).*china',\n  CXR: 'christmas',\n  CCK: '\\\\bcocos|keeling',\n  COL: 'colombia',\n  COM: 'comoro',\n  COG: '^(?!.*\\\\bdem)(?!.*\\\\bd[\\\\.]?r)(?!.*kinshasa)(?!.*zaire)(?!.*belg)(?!.*l.opoldville)(?!.*free).*\\\\bcongo',\n  COK: '\\\\bcook',\n  CRI: 'costa.?rica',\n  CIV: 'ivoire|ivory',\n  HRV: 'croatia',\n  CUB: '\\\\bcuba',\n  CUW: '^(?!.*bonaire).*\\\\bcura(c|ç)ao',\n  CYP: 'cyprus',\n  CSK: 'czechoslovakia',\n  CZE: '^(?=.*rep).*czech|czechia|bohemia',\n  COD: '\\\\bdem.*congo|congo.*\\\\bdem|congo.*\\\\bd[\\\\.]?r|\\\\bd[\\\\.]?r.*congo|belgian.?congo|congo.?free.?state|kinshasa|zaire|l.opoldville|drc|droc|rdc',\n  DNK: 'denmark',\n  DJI: 'djibouti',\n  DMA: 'dominica(?!n)',\n  DOM: 'dominican.rep',\n  ECU: 'ecuador',\n  EGY: 'egypt',\n  SLV: 'el.?salvador',\n  GNQ: 'guine.*eq|eq.*guine|^(?=.*span).*guinea',\n  ERI: 'eritrea',\n  EST: 'estonia',\n  ETH: 'ethiopia|abyssinia',\n  FLK: 'falkland|malvinas',\n  FRO: 'faroe|faeroe',\n  FJI: 'fiji',\n  FIN: 'finland',\n  FRA: '^(?!.*\\\\bdep)(?!.*martinique).*france|french.?republic|\\\\bgaul',\n  GUF: '^(?=.*french).*guiana',\n  PYF: 'french.?polynesia|tahiti',\n  ATF: 'french.?southern',\n  GAB: 'gabon',\n  GMB: 'gambia',\n  GEO: '^(?!.*south).*georgia',\n  DDR: 'german.?democratic.?republic|democratic.?republic.*germany|east.germany',\n  DEU: '^(?!.*east).*germany|^(?=.*\\\\bfed.*\\\\brep).*german',\n  GHA: 'ghana|gold.?coast',\n  GIB: 'gibraltar',\n  GRC: 'greece|hellenic|hellas',\n  GRL: 'greenland',\n  GRD: 'grenada',\n  GLP: 'guadeloupe',\n  GUM: '\\\\bguam',\n  GTM: 'guatemala',\n  GGY: 'guernsey',\n  GIN: '^(?!.*eq)(?!.*span)(?!.*bissau)(?!.*portu)(?!.*new).*guinea',\n  GNB: 'bissau|^(?=.*portu).*guinea',\n  GUY: 'guyana|british.?guiana',\n  HTI: 'haiti',\n  HMD: 'heard.*mcdonald',\n  VAT: 'holy.?see|vatican|papal.?st',\n  HND: '^(?!.*brit).*honduras',\n  HKG: 'hong.?kong',\n  HUN: '^(?!.*austr).*hungary',\n  ISL: 'iceland',\n  IND: 'india(?!.*ocea)',\n  IDN: 'indonesia',\n  IRN: '\\\\biran|persia',\n  IRQ: '\\\\biraq|mesopotamia',\n  IRL: '(^ireland)|(^republic.*ireland)',\n  IMN: '^(?=.*isle).*\\\\bman',\n  ISR: 'israel',\n  ITA: 'italy',\n  JAM: 'jamaica',\n  JPN: 'japan',\n  JEY: 'jersey',\n  JOR: 'jordan',\n  KAZ: 'kazak',\n  KEN: 'kenya|british.?east.?africa|east.?africa.?prot',\n  KIR: 'kiribati',\n  PRK: '^(?=.*democrat|people|north|d.*p.*.r).*\\\\bkorea|dprk|korea.*(d.*p.*r)',\n  KWT: 'kuwait',\n  KGZ: 'kyrgyz|kirghiz',\n  LAO: '\\\\blaos?\\\\b',\n  LVA: 'latvia',\n  LBN: 'lebanon',\n  LSO: 'lesotho|basuto',\n  LBR: 'liberia',\n  LBY: 'libya',\n  LIE: 'liechtenstein',\n  LTU: 'lithuania',\n  LUX: '^(?!.*belg).*luxem',\n  MAC: 'maca(o|u)',\n  MDG: 'madagascar|malagasy',\n  MWI: 'malawi|nyasa',\n  MYS: 'malaysia',\n  MDV: 'maldive',\n  MLI: '\\\\bmali\\\\b',\n  MLT: '\\\\bmalta',\n  MHL: 'marshall',\n  MTQ: 'martinique',\n  MRT: 'mauritania',\n  MUS: 'mauritius',\n  MYT: '\\\\bmayotte',\n  MEX: '\\\\bmexic',\n  FSM: 'fed.*micronesia|micronesia.*fed',\n  MCO: 'monaco',\n  MNG: 'mongolia',\n  MNE: '^(?!.*serbia).*montenegro',\n  MSR: 'montserrat',\n  MAR: 'morocco|\\\\bmaroc',\n  MOZ: 'mozambique',\n  MMR: 'myanmar|burma',\n  NAM: 'namibia',\n  NRU: 'nauru',\n  NPL: 'nepal',\n  NLD: '^(?!.*\\\\bant)(?!.*\\\\bcarib).*netherlands',\n  ANT: '^(?=.*\\\\bant).*(nether|dutch)',\n  NCL: 'new.?caledonia',\n  NZL: 'new.?zealand',\n  NIC: 'nicaragua',\n  NER: '\\\\bniger(?!ia)',\n  NGA: 'nigeria',\n  NIU: 'niue',\n  NFK: 'norfolk',\n  MNP: 'mariana',\n  NOR: 'norway',\n  OMN: '\\\\boman|trucial',\n  PAK: '^(?!.*east).*paki?stan',\n  PLW: 'palau',\n  PSE: 'palestin|\\\\bgaza|west.?bank',\n  PAN: 'panama',\n  PNG: 'papua|new.?guinea',\n  PRY: 'paraguay',\n  PER: 'peru',\n  PHL: 'philippines',\n  PCN: 'pitcairn',\n  POL: 'poland',\n  PRT: 'portugal',\n  PRI: 'puerto.?rico',\n  QAT: 'qatar',\n  KOR: '^(?!.*d.*p.*r)(?!.*democrat)(?!.*people)(?!.*north).*\\\\bkorea(?!.*d.*p.*r)',\n  MDA: 'moldov|b(a|e)ssarabia',\n  REU: 'r(e|é)union',\n  ROU: 'r(o|u|ou)mania',\n  RUS: '\\\\brussia|soviet.?union|u\\\\.?s\\\\.?s\\\\.?r|socialist.?republics',\n  RWA: 'rwanda',\n  BLM: 'barth(e|é)lemy',\n  SHN: 'helena',\n  KNA: 'kitts|\\\\bnevis',\n  LCA: '\\\\blucia',\n  MAF: '^(?=.*collectivity).*martin|^(?=.*france).*martin(?!ique)|^(?=.*french).*martin(?!ique)',\n  SPM: 'miquelon',\n  VCT: 'vincent',\n  WSM: '^(?!.*amer).*samoa',\n  SMR: 'san.?marino',\n  STP: '\\\\bs(a|ã)o.?tom(e|é)',\n  SAU: '\\\\bsa\\\\w*.?arabia',\n  SEN: 'senegal',\n  SRB: '^(?!.*monte).*serbia',\n  SYC: 'seychell',\n  SLE: 'sierra',\n  SGP: 'singapore',\n  SXM: '^(?!.*martin)(?!.*saba).*maarten',\n  SVK: '^(?!.*cze).*slovak',\n  SVN: 'slovenia',\n  SLB: 'solomon',\n  SOM: 'somali',\n  ZAF: 'south.africa|s\\\\\\\\..?africa',\n  SGS: 'south.?georgia|sandwich',\n  SSD: '\\\\bs\\\\w*.?sudan',\n  ESP: 'spain',\n  LKA: 'sri.?lanka|ceylon',\n  SDN: '^(?!.*\\\\bs(?!u)).*sudan',\n  SUR: 'surinam|dutch.?guiana',\n  SJM: 'svalbard',\n  SWZ: 'swaziland',\n  SWE: 'sweden',\n  CHE: 'switz|swiss',\n  SYR: 'syria',\n  TWN: 'taiwan|taipei|formosa|^(?!.*peo)(?=.*rep).*china',\n  TJK: 'tajik',\n  THA: 'thailand|\\\\bsiam',\n  MKD: 'macedonia|fyrom',\n  TLS: '^(?=.*leste).*timor|^(?=.*east).*timor',\n  TGO: 'togo',\n  TKL: 'tokelau',\n  TON: 'tonga',\n  TTO: 'trinidad|tobago',\n  TUN: 'tunisia',\n  TUR: 'turkey',\n  TKM: 'turkmen',\n  TCA: 'turks',\n  TUV: 'tuvalu',\n  UGA: 'uganda',\n  UKR: 'ukrain',\n  ARE: 'emirates|^u\\\\.?a\\\\.?e\\\\.?$|united.?arab.?em',\n  GBR: 'united.?kingdom|britain|^u\\\\.?k\\\\.?$',\n  TZA: 'tanzania',\n  USA: 'united.?states\\\\b(?!.*islands)|\\\\bu\\\\.?s\\\\.?a\\\\.?\\\\b|^\\\\s*u\\\\.?s\\\\.?\\\\b(?!.*islands)',\n  UMI: 'minor.?outlying.?is',\n  URY: 'uruguay',\n  UZB: 'uzbek',\n  VUT: 'vanuatu|new.?hebrides',\n  VEN: 'venezuela',\n  VNM: '^(?!.*republic).*viet.?nam|^(?=.*socialist).*viet.?nam',\n  VGB: '^(?=.*\\\\bu\\\\.?\\\\s?k).*virgin|^(?=.*brit).*virgin|^(?=.*kingdom).*virgin',\n  VIR: '^(?=.*\\\\bu\\\\.?\\\\s?s).*virgin|^(?=.*states).*virgin',\n  WLF: 'futuna|wallis',\n  ESH: 'western.sahara',\n  YEM: '^(?!.*arab)(?!.*north)(?!.*sana)(?!.*peo)(?!.*dem)(?!.*south)(?!.*aden)(?!.*\\\\bp\\\\.?d\\\\.?r).*yemen',\n  YMD: '^(?=.*peo).*yemen|^(?!.*rep)(?=.*dem).*yemen|^(?=.*south).*yemen|^(?=.*aden).*yemen|^(?=.*\\\\bp\\\\.?d\\\\.?r).*yemen',\n  YUG: 'yugoslavia',\n  ZMB: 'zambia|northern.?rhodesia',\n  EAZ: 'zanzibar',\n  ZWE: 'zimbabwe|^(?!.*northern).*rhodesia'\n}\n\n},{}],123:[function(_dereq_,module,exports){\nmodule.exports=[\r\n\t\"xx-small\",\r\n\t\"x-small\",\r\n\t\"small\",\r\n\t\"medium\",\r\n\t\"large\",\r\n\t\"x-large\",\r\n\t\"xx-large\",\r\n\t\"larger\",\r\n\t\"smaller\"\r\n]\r\n\n},{}],124:[function(_dereq_,module,exports){\nmodule.exports=[\r\n\t\"normal\",\r\n\t\"condensed\",\r\n\t\"semi-condensed\",\r\n\t\"extra-condensed\",\r\n\t\"ultra-condensed\",\r\n\t\"expanded\",\r\n\t\"semi-expanded\",\r\n\t\"extra-expanded\",\r\n\t\"ultra-expanded\"\r\n]\r\n\n},{}],125:[function(_dereq_,module,exports){\nmodule.exports=[\r\n\t\"normal\",\r\n\t\"italic\",\r\n\t\"oblique\"\r\n]\r\n\n},{}],126:[function(_dereq_,module,exports){\nmodule.exports=[\r\n\t\"normal\",\r\n\t\"bold\",\r\n\t\"bolder\",\r\n\t\"lighter\",\r\n\t\"100\",\r\n\t\"200\",\r\n\t\"300\",\r\n\t\"400\",\r\n\t\"500\",\r\n\t\"600\",\r\n\t\"700\",\r\n\t\"800\",\r\n\t\"900\"\r\n]\r\n\n},{}],127:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = {\r\n\tparse: _dereq_('./parse'),\r\n\tstringify: _dereq_('./stringify')\r\n}\r\n\n},{\"./parse\":129,\"./stringify\":130}],128:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar sizes = _dereq_('css-font-size-keywords')\r\n\r\nmodule.exports = {\r\n\tisSize: function isSize(value) {\r\n\t\treturn /^[\\d\\.]/.test(value)\r\n\t\t\t|| value.indexOf('/') !== -1\r\n\t\t\t|| sizes.indexOf(value) !== -1\r\n\t}\r\n}\r\n\n},{\"css-font-size-keywords\":123}],129:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar unquote = _dereq_('unquote')\r\nvar globalKeywords = _dereq_('css-global-keywords')\r\nvar systemFontKeywords = _dereq_('css-system-font-keywords')\r\nvar fontWeightKeywords = _dereq_('css-font-weight-keywords')\r\nvar fontStyleKeywords = _dereq_('css-font-style-keywords')\r\nvar fontStretchKeywords = _dereq_('css-font-stretch-keywords')\r\nvar splitBy = _dereq_('string-split-by')\r\nvar isSize = _dereq_('./lib/util').isSize\r\n\r\n\r\nmodule.exports = parseFont\r\n\r\n\r\nvar cache = parseFont.cache = {}\r\n\r\n\r\nfunction parseFont (value) {\r\n\tif (typeof value !== 'string') throw new Error('Font argument must be a string.')\r\n\r\n\tif (cache[value]) return cache[value]\r\n\r\n\tif (value === '') {\r\n\t\tthrow new Error('Cannot parse an empty string.')\r\n\t}\r\n\r\n\tif (systemFontKeywords.indexOf(value) !== -1) {\r\n\t\treturn cache[value] = {system: value}\r\n\t}\r\n\r\n\tvar font = {\r\n\t\tstyle: 'normal',\r\n\t\tvariant: 'normal',\r\n\t\tweight: 'normal',\r\n\t\tstretch: 'normal',\r\n\t\tlineHeight: 'normal',\r\n\t\tsize: '1rem',\r\n\t\tfamily: ['serif']\r\n\t}\r\n\r\n\tvar tokens = splitBy(value, /\\s+/)\r\n\tvar token\r\n\r\n\twhile (token = tokens.shift()) {\r\n\t\tif (globalKeywords.indexOf(token) !== -1) {\r\n\t\t\t['style', 'variant', 'weight', 'stretch'].forEach(function(prop) {\r\n\t\t\t\tfont[prop] = token\r\n\t\t\t})\r\n\r\n\t\t\treturn cache[value] = font\r\n\t\t}\r\n\r\n\t\tif (fontStyleKeywords.indexOf(token) !== -1) {\r\n\t\t\tfont.style = token\r\n\t\t\tcontinue\r\n\t\t}\r\n\r\n\t\tif (token === 'normal' || token === 'small-caps') {\r\n\t\t\tfont.variant = token\r\n\t\t\tcontinue\r\n\t\t}\r\n\r\n\t\tif (fontStretchKeywords.indexOf(token) !== -1) {\r\n\t\t\tfont.stretch = token\r\n\t\t\tcontinue\r\n\t\t}\r\n\r\n\t\tif (fontWeightKeywords.indexOf(token) !== -1) {\r\n\t\t\tfont.weight = token\r\n\t\t\tcontinue\r\n\t\t}\r\n\r\n\r\n\t\tif (isSize(token)) {\r\n\t\t\tvar parts = splitBy(token, '/')\r\n\t\t\tfont.size = parts[0]\r\n\t\t\tif (parts[1] != null) {\r\n\t\t\t\tfont.lineHeight = parseLineHeight(parts[1])\r\n\t\t\t}\r\n\t\t\telse if (tokens[0] === '/') {\r\n\t\t\t\ttokens.shift()\r\n\t\t\t\tfont.lineHeight = parseLineHeight(tokens.shift())\r\n \t\t\t}\r\n\r\n\t\t\tif (!tokens.length) {\r\n\t\t\t\tthrow new Error('Missing required font-family.')\r\n\t\t\t}\r\n\t\t\tfont.family = splitBy(tokens.join(' '), /\\s*,\\s*/).map(unquote)\r\n\r\n\t\t\treturn cache[value] = font\r\n\t\t}\r\n\r\n\t\tthrow new Error('Unknown or unsupported font token: ' + token)\r\n\t}\r\n\r\n\tthrow new Error('Missing required font-size.')\r\n}\r\n\r\n\r\nfunction parseLineHeight(value) {\r\n\tvar parsed = parseFloat(value)\r\n\tif (parsed.toString() === value) {\r\n\t\treturn parsed\r\n\t}\r\n\treturn value\r\n}\r\n\n},{\"./lib/util\":128,\"css-font-stretch-keywords\":124,\"css-font-style-keywords\":125,\"css-font-weight-keywords\":126,\"css-global-keywords\":131,\"css-system-font-keywords\":132,\"string-split-by\":505,\"unquote\":525}],130:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar pick = _dereq_('pick-by-alias')\r\nvar isSize = _dereq_('./lib/util').isSize\r\n\r\nvar globals = a2o(_dereq_('css-global-keywords'))\r\nvar systems = a2o(_dereq_('css-system-font-keywords'))\r\nvar weights = a2o(_dereq_('css-font-weight-keywords'))\r\nvar styles = a2o(_dereq_('css-font-style-keywords'))\r\nvar stretches = a2o(_dereq_('css-font-stretch-keywords'))\r\n\r\nvar variants = {'normal': 1, 'small-caps': 1}\r\nvar fams = {\r\n\t'serif': 1,\r\n\t'sans-serif': 1,\r\n\t'monospace': 1,\r\n\t'cursive': 1,\r\n\t'fantasy': 1,\r\n\t'system-ui': 1\r\n}\r\n\r\nvar defaults = {\r\n\tstyle: 'normal',\r\n\tvariant: 'normal',\r\n\tweight: 'normal',\r\n\tstretch: 'normal',\r\n\tsize: '1rem',\r\n\tlineHeight: 'normal',\r\n\tfamily: 'serif'\r\n}\r\n\r\nmodule.exports = function stringifyFont (o) {\r\n\to = pick(o, {\r\n\t\tstyle: 'style fontstyle fontStyle font-style slope distinction',\r\n\t\tvariant: 'variant font-variant fontVariant fontvariant var capitalization',\r\n\t\tweight: 'weight w font-weight fontWeight fontweight',\r\n\t\tstretch: 'stretch font-stretch fontStretch fontstretch width',\r\n\t\tsize: 'size s font-size fontSize fontsize height em emSize',\r\n\t\tlineHeight: 'lh line-height lineHeight lineheight leading',\r\n\t\tfamily: 'font family fontFamily font-family fontfamily type typeface face',\r\n\t\tsystem: 'system reserved default global',\r\n\t})\r\n\r\n\tif (o.system) {\r\n\t\tif (o.system) verify(o.system, systems)\r\n\t\treturn o.system\r\n\t}\r\n\r\n\tverify(o.style, styles)\r\n\tverify(o.variant, variants)\r\n\tverify(o.weight, weights)\r\n\tverify(o.stretch, stretches)\r\n\r\n\t// default root value is medium, but by default it's inherited\r\n\tif (o.size == null) o.size = defaults.size\r\n\tif (typeof o.size === 'number') o.size += 'px'\r\n\r\n\tif (!isSize) throw Error('Bad size value `' + o.size + '`')\r\n\r\n\t// many user-agents use serif, we don't detect that for consistency\r\n\tif (!o.family) o.family = defaults.family\r\n\tif (Array.isArray(o.family)) {\r\n\t\tif (!o.family.length) o.family = [defaults.family]\r\n\t\to.family = o.family.map(function (f) {\r\n\t\t\treturn fams[f] ? f : '\"' + f + '\"'\r\n\t\t}).join(', ')\r\n\t}\r\n\r\n\t// [ [ <'font-style'> || <font-variant-css21> || <'font-weight'> || <'font-stretch'> ]? <'font-size'> [ / <'line-height'> ]? <'font-family'> ]\r\n\tvar result = []\r\n\r\n\tresult.push(o.style)\r\n\tif (o.variant !== o.style) result.push(o.variant)\r\n\r\n\tif (o.weight !== o.variant &&\r\n\t\to.weight !== o.style) result.push(o.weight)\r\n\r\n\tif (o.stretch !== o.weight &&\r\n\t\to.stretch !== o.variant &&\r\n\t\to.stretch !== o.style) result.push(o.stretch)\r\n\r\n\tresult.push(o.size + (o.lineHeight == null || o.lineHeight === 'normal' || (o.lineHeight + '' === '1')  ? '' : ('/' + o.lineHeight)))\r\n\tresult.push(o.family)\r\n\r\n\treturn result.filter(Boolean).join(' ')\r\n}\r\n\r\nfunction verify (value, values) {\r\n\tif (value && !values[value] && !globals[value]) throw Error('Unknown keyword `' + value +'`')\r\n\r\n\treturn value\r\n}\r\n\r\n\r\n// ['a', 'b'] -> {a: true, b: true}\r\nfunction a2o (a) {\r\n\tvar o = {}\r\n\tfor (var i = 0; i < a.length; i++) {\r\n\t\to[a[i]] = 1\r\n\t}\r\n\treturn o\r\n}\r\n\n},{\"./lib/util\":128,\"css-font-stretch-keywords\":124,\"css-font-style-keywords\":125,\"css-font-weight-keywords\":126,\"css-global-keywords\":131,\"css-system-font-keywords\":132,\"pick-by-alias\":448}],131:[function(_dereq_,module,exports){\nmodule.exports=[\r\n\t\"inherit\",\r\n\t\"initial\",\r\n\t\"unset\"\r\n]\r\n\n},{}],132:[function(_dereq_,module,exports){\nmodule.exports=[\r\n\t\"caption\",\r\n\t\"icon\",\r\n\t\"menu\",\r\n\t\"message-box\",\r\n\t\"small-caption\",\r\n\t\"status-bar\"\r\n]\r\n\n},{}],133:[function(_dereq_,module,exports){\n\"use strict\"\n\nfunction dcubicHermite(p0, v0, p1, v1, t, f) {\n  var dh00 = 6*t*t-6*t,\n      dh10 = 3*t*t-4*t + 1,\n      dh01 = -6*t*t+6*t,\n      dh11 = 3*t*t-2*t\n  if(p0.length) {\n    if(!f) {\n      f = new Array(p0.length)\n    }\n    for(var i=p0.length-1; i>=0; --i) {\n      f[i] = dh00*p0[i] + dh10*v0[i] + dh01*p1[i] + dh11*v1[i]\n    }\n    return f\n  }\n  return dh00*p0 + dh10*v0 + dh01*p1[i] + dh11*v1\n}\n\nfunction cubicHermite(p0, v0, p1, v1, t, f) {\n  var ti  = (t-1), t2 = t*t, ti2 = ti*ti,\n      h00 = (1+2*t)*ti2,\n      h10 = t*ti2,\n      h01 = t2*(3-2*t),\n      h11 = t2*ti\n  if(p0.length) {\n    if(!f) {\n      f = new Array(p0.length)\n    }\n    for(var i=p0.length-1; i>=0; --i) {\n      f[i] = h00*p0[i] + h10*v0[i] + h01*p1[i] + h11*v1[i]\n    }\n    return f\n  }\n  return h00*p0 + h10*v0 + h01*p1 + h11*v1\n}\n\nmodule.exports = cubicHermite\nmodule.exports.derivative = dcubicHermite\n},{}],134:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar createThunk = _dereq_(\"./lib/thunk.js\")\n\nfunction Procedure() {\n  this.argTypes = []\n  this.shimArgs = []\n  this.arrayArgs = []\n  this.arrayBlockIndices = []\n  this.scalarArgs = []\n  this.offsetArgs = []\n  this.offsetArgIndex = []\n  this.indexArgs = []\n  this.shapeArgs = []\n  this.funcName = \"\"\n  this.pre = null\n  this.body = null\n  this.post = null\n  this.debug = false\n}\n\nfunction compileCwise(user_args) {\n  //Create procedure\n  var proc = new Procedure()\n  \n  //Parse blocks\n  proc.pre    = user_args.pre\n  proc.body   = user_args.body\n  proc.post   = user_args.post\n\n  //Parse arguments\n  var proc_args = user_args.args.slice(0)\n  proc.argTypes = proc_args\n  for(var i=0; i<proc_args.length; ++i) {\n    var arg_type = proc_args[i]\n    if(arg_type === \"array\" || (typeof arg_type === \"object\" && arg_type.blockIndices)) {\n      proc.argTypes[i] = \"array\"\n      proc.arrayArgs.push(i)\n      proc.arrayBlockIndices.push(arg_type.blockIndices ? arg_type.blockIndices : 0)\n      proc.shimArgs.push(\"array\" + i)\n      if(i < proc.pre.args.length && proc.pre.args[i].count>0) {\n        throw new Error(\"cwise: pre() block may not reference array args\")\n      }\n      if(i < proc.post.args.length && proc.post.args[i].count>0) {\n        throw new Error(\"cwise: post() block may not reference array args\")\n      }\n    } else if(arg_type === \"scalar\") {\n      proc.scalarArgs.push(i)\n      proc.shimArgs.push(\"scalar\" + i)\n    } else if(arg_type === \"index\") {\n      proc.indexArgs.push(i)\n      if(i < proc.pre.args.length && proc.pre.args[i].count > 0) {\n        throw new Error(\"cwise: pre() block may not reference array index\")\n      }\n      if(i < proc.body.args.length && proc.body.args[i].lvalue) {\n        throw new Error(\"cwise: body() block may not write to array index\")\n      }\n      if(i < proc.post.args.length && proc.post.args[i].count > 0) {\n        throw new Error(\"cwise: post() block may not reference array index\")\n      }\n    } else if(arg_type === \"shape\") {\n      proc.shapeArgs.push(i)\n      if(i < proc.pre.args.length && proc.pre.args[i].lvalue) {\n        throw new Error(\"cwise: pre() block may not write to array shape\")\n      }\n      if(i < proc.body.args.length && proc.body.args[i].lvalue) {\n        throw new Error(\"cwise: body() block may not write to array shape\")\n      }\n      if(i < proc.post.args.length && proc.post.args[i].lvalue) {\n        throw new Error(\"cwise: post() block may not write to array shape\")\n      }\n    } else if(typeof arg_type === \"object\" && arg_type.offset) {\n      proc.argTypes[i] = \"offset\"\n      proc.offsetArgs.push({ array: arg_type.array, offset:arg_type.offset })\n      proc.offsetArgIndex.push(i)\n    } else {\n      throw new Error(\"cwise: Unknown argument type \" + proc_args[i])\n    }\n  }\n  \n  //Make sure at least one array argument was specified\n  if(proc.arrayArgs.length <= 0) {\n    throw new Error(\"cwise: No array arguments specified\")\n  }\n  \n  //Make sure arguments are correct\n  if(proc.pre.args.length > proc_args.length) {\n    throw new Error(\"cwise: Too many arguments in pre() block\")\n  }\n  if(proc.body.args.length > proc_args.length) {\n    throw new Error(\"cwise: Too many arguments in body() block\")\n  }\n  if(proc.post.args.length > proc_args.length) {\n    throw new Error(\"cwise: Too many arguments in post() block\")\n  }\n\n  //Check debug flag\n  proc.debug = !!user_args.printCode || !!user_args.debug\n  \n  //Retrieve name\n  proc.funcName = user_args.funcName || \"cwise\"\n  \n  //Read in block size\n  proc.blockSize = user_args.blockSize || 64\n\n  return createThunk(proc)\n}\n\nmodule.exports = compileCwise\n\n},{\"./lib/thunk.js\":136}],135:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar uniq = _dereq_(\"uniq\")\n\n// This function generates very simple loops analogous to how you typically traverse arrays (the outermost loop corresponds to the slowest changing index, the innermost loop to the fastest changing index)\n// TODO: If two arrays have the same strides (and offsets) there is potential for decreasing the number of \"pointers\" and related variables. The drawback is that the type signature would become more specific and that there would thus be less potential for caching, but it might still be worth it, especially when dealing with large numbers of arguments.\nfunction innerFill(order, proc, body) {\n  var dimension = order.length\n    , nargs = proc.arrayArgs.length\n    , has_index = proc.indexArgs.length>0\n    , code = []\n    , vars = []\n    , idx=0, pidx=0, i, j\n  for(i=0; i<dimension; ++i) { // Iteration variables\n    vars.push([\"i\",i,\"=0\"].join(\"\"))\n  }\n  //Compute scan deltas\n  for(j=0; j<nargs; ++j) {\n    for(i=0; i<dimension; ++i) {\n      pidx = idx\n      idx = order[i]\n      if(i === 0) { // The innermost/fastest dimension's delta is simply its stride\n        vars.push([\"d\",j,\"s\",i,\"=t\",j,\"p\",idx].join(\"\"))\n      } else { // For other dimensions the delta is basically the stride minus something which essentially \"rewinds\" the previous (more inner) dimension\n        vars.push([\"d\",j,\"s\",i,\"=(t\",j,\"p\",idx,\"-s\",pidx,\"*t\",j,\"p\",pidx,\")\"].join(\"\"))\n      }\n    }\n  }\n  if (vars.length > 0) {\n    code.push(\"var \" + vars.join(\",\"))\n  }  \n  //Scan loop\n  for(i=dimension-1; i>=0; --i) { // Start at largest stride and work your way inwards\n    idx = order[i]\n    code.push([\"for(i\",i,\"=0;i\",i,\"<s\",idx,\";++i\",i,\"){\"].join(\"\"))\n  }\n  //Push body of inner loop\n  code.push(body)\n  //Advance scan pointers\n  for(i=0; i<dimension; ++i) {\n    pidx = idx\n    idx = order[i]\n    for(j=0; j<nargs; ++j) {\n      code.push([\"p\",j,\"+=d\",j,\"s\",i].join(\"\"))\n    }\n    if(has_index) {\n      if(i > 0) {\n        code.push([\"index[\",pidx,\"]-=s\",pidx].join(\"\"))\n      }\n      code.push([\"++index[\",idx,\"]\"].join(\"\"))\n    }\n    code.push(\"}\")\n  }\n  return code.join(\"\\n\")\n}\n\n// Generate \"outer\" loops that loop over blocks of data, applying \"inner\" loops to the blocks by manipulating the local variables in such a way that the inner loop only \"sees\" the current block.\n// TODO: If this is used, then the previous declaration (done by generateCwiseOp) of s* is essentially unnecessary.\n//       I believe the s* are not used elsewhere (in particular, I don't think they're used in the pre/post parts and \"shape\" is defined independently), so it would be possible to make defining the s* dependent on what loop method is being used.\nfunction outerFill(matched, order, proc, body) {\n  var dimension = order.length\n    , nargs = proc.arrayArgs.length\n    , blockSize = proc.blockSize\n    , has_index = proc.indexArgs.length > 0\n    , code = []\n  for(var i=0; i<nargs; ++i) {\n    code.push([\"var offset\",i,\"=p\",i].join(\"\"))\n  }\n  //Generate loops for unmatched dimensions\n  // The order in which these dimensions are traversed is fairly arbitrary (from small stride to large stride, for the first argument)\n  // TODO: It would be nice if the order in which these loops are placed would also be somehow \"optimal\" (at the very least we should check that it really doesn't hurt us if they're not).\n  for(var i=matched; i<dimension; ++i) {\n    code.push([\"for(var j\"+i+\"=SS[\", order[i], \"]|0;j\", i, \">0;){\"].join(\"\")) // Iterate back to front\n    code.push([\"if(j\",i,\"<\",blockSize,\"){\"].join(\"\")) // Either decrease j by blockSize (s = blockSize), or set it to zero (after setting s = j).\n    code.push([\"s\",order[i],\"=j\",i].join(\"\"))\n    code.push([\"j\",i,\"=0\"].join(\"\"))\n    code.push([\"}else{s\",order[i],\"=\",blockSize].join(\"\"))\n    code.push([\"j\",i,\"-=\",blockSize,\"}\"].join(\"\"))\n    if(has_index) {\n      code.push([\"index[\",order[i],\"]=j\",i].join(\"\"))\n    }\n  }\n  for(var i=0; i<nargs; ++i) {\n    var indexStr = [\"offset\"+i]\n    for(var j=matched; j<dimension; ++j) {\n      indexStr.push([\"j\",j,\"*t\",i,\"p\",order[j]].join(\"\"))\n    }\n    code.push([\"p\",i,\"=(\",indexStr.join(\"+\"),\")\"].join(\"\"))\n  }\n  code.push(innerFill(order, proc, body))\n  for(var i=matched; i<dimension; ++i) {\n    code.push(\"}\")\n  }\n  return code.join(\"\\n\")\n}\n\n//Count the number of compatible inner orders\n// This is the length of the longest common prefix of the arrays in orders.\n// Each array in orders lists the dimensions of the correspond ndarray in order of increasing stride.\n// This is thus the maximum number of dimensions that can be efficiently traversed by simple nested loops for all arrays.\nfunction countMatches(orders) {\n  var matched = 0, dimension = orders[0].length\n  while(matched < dimension) {\n    for(var j=1; j<orders.length; ++j) {\n      if(orders[j][matched] !== orders[0][matched]) {\n        return matched\n      }\n    }\n    ++matched\n  }\n  return matched\n}\n\n//Processes a block according to the given data types\n// Replaces variable names by different ones, either \"local\" ones (that are then ferried in and out of the given array) or ones matching the arguments that the function performing the ultimate loop will accept.\nfunction processBlock(block, proc, dtypes) {\n  var code = block.body\n  var pre = []\n  var post = []\n  for(var i=0; i<block.args.length; ++i) {\n    var carg = block.args[i]\n    if(carg.count <= 0) {\n      continue\n    }\n    var re = new RegExp(carg.name, \"g\")\n    var ptrStr = \"\"\n    var arrNum = proc.arrayArgs.indexOf(i)\n    switch(proc.argTypes[i]) {\n      case \"offset\":\n        var offArgIndex = proc.offsetArgIndex.indexOf(i)\n        var offArg = proc.offsetArgs[offArgIndex]\n        arrNum = offArg.array\n        ptrStr = \"+q\" + offArgIndex // Adds offset to the \"pointer\" in the array\n      case \"array\":\n        ptrStr = \"p\" + arrNum + ptrStr\n        var localStr = \"l\" + i\n        var arrStr = \"a\" + arrNum\n        if (proc.arrayBlockIndices[arrNum] === 0) { // Argument to body is just a single value from this array\n          if(carg.count === 1) { // Argument/array used only once(?)\n            if(dtypes[arrNum] === \"generic\") {\n              if(carg.lvalue) {\n                pre.push([\"var \", localStr, \"=\", arrStr, \".get(\", ptrStr, \")\"].join(\"\")) // Is this necessary if the argument is ONLY used as an lvalue? (keep in mind that we can have a += something, so we would actually need to check carg.rvalue)\n                code = code.replace(re, localStr)\n                post.push([arrStr, \".set(\", ptrStr, \",\", localStr,\")\"].join(\"\"))\n              } else {\n                code = code.replace(re, [arrStr, \".get(\", ptrStr, \")\"].join(\"\"))\n              }\n            } else {\n              code = code.replace(re, [arrStr, \"[\", ptrStr, \"]\"].join(\"\"))\n            }\n          } else if(dtypes[arrNum] === \"generic\") {\n            pre.push([\"var \", localStr, \"=\", arrStr, \".get(\", ptrStr, \")\"].join(\"\")) // TODO: Could we optimize by checking for carg.rvalue?\n            code = code.replace(re, localStr)\n            if(carg.lvalue) {\n              post.push([arrStr, \".set(\", ptrStr, \",\", localStr,\")\"].join(\"\"))\n            }\n          } else {\n            pre.push([\"var \", localStr, \"=\", arrStr, \"[\", ptrStr, \"]\"].join(\"\")) // TODO: Could we optimize by checking for carg.rvalue?\n            code = code.replace(re, localStr)\n            if(carg.lvalue) {\n              post.push([arrStr, \"[\", ptrStr, \"]=\", localStr].join(\"\"))\n            }\n          }\n        } else { // Argument to body is a \"block\"\n          var reStrArr = [carg.name], ptrStrArr = [ptrStr]\n          for(var j=0; j<Math.abs(proc.arrayBlockIndices[arrNum]); j++) {\n            reStrArr.push(\"\\\\s*\\\\[([^\\\\]]+)\\\\]\")\n            ptrStrArr.push(\"$\" + (j+1) + \"*t\" + arrNum + \"b\" + j) // Matched index times stride\n          }\n          re = new RegExp(reStrArr.join(\"\"), \"g\")\n          ptrStr = ptrStrArr.join(\"+\")\n          if(dtypes[arrNum] === \"generic\") {\n            /*if(carg.lvalue) {\n              pre.push([\"var \", localStr, \"=\", arrStr, \".get(\", ptrStr, \")\"].join(\"\")) // Is this necessary if the argument is ONLY used as an lvalue? (keep in mind that we can have a += something, so we would actually need to check carg.rvalue)\n              code = code.replace(re, localStr)\n              post.push([arrStr, \".set(\", ptrStr, \",\", localStr,\")\"].join(\"\"))\n            } else {\n              code = code.replace(re, [arrStr, \".get(\", ptrStr, \")\"].join(\"\"))\n            }*/\n            throw new Error(\"cwise: Generic arrays not supported in combination with blocks!\")\n          } else {\n            // This does not produce any local variables, even if variables are used multiple times. It would be possible to do so, but it would complicate things quite a bit.\n            code = code.replace(re, [arrStr, \"[\", ptrStr, \"]\"].join(\"\"))\n          }\n        }\n      break\n      case \"scalar\":\n        code = code.replace(re, \"Y\" + proc.scalarArgs.indexOf(i))\n      break\n      case \"index\":\n        code = code.replace(re, \"index\")\n      break\n      case \"shape\":\n        code = code.replace(re, \"shape\")\n      break\n    }\n  }\n  return [pre.join(\"\\n\"), code, post.join(\"\\n\")].join(\"\\n\").trim()\n}\n\nfunction typeSummary(dtypes) {\n  var summary = new Array(dtypes.length)\n  var allEqual = true\n  for(var i=0; i<dtypes.length; ++i) {\n    var t = dtypes[i]\n    var digits = t.match(/\\d+/)\n    if(!digits) {\n      digits = \"\"\n    } else {\n      digits = digits[0]\n    }\n    if(t.charAt(0) === 0) {\n      summary[i] = \"u\" + t.charAt(1) + digits\n    } else {\n      summary[i] = t.charAt(0) + digits\n    }\n    if(i > 0) {\n      allEqual = allEqual && summary[i] === summary[i-1]\n    }\n  }\n  if(allEqual) {\n    return summary[0]\n  }\n  return summary.join(\"\")\n}\n\n//Generates a cwise operator\nfunction generateCWiseOp(proc, typesig) {\n\n  //Compute dimension\n  // Arrays get put first in typesig, and there are two entries per array (dtype and order), so this gets the number of dimensions in the first array arg.\n  var dimension = (typesig[1].length - Math.abs(proc.arrayBlockIndices[0]))|0\n  var orders = new Array(proc.arrayArgs.length)\n  var dtypes = new Array(proc.arrayArgs.length)\n  for(var i=0; i<proc.arrayArgs.length; ++i) {\n    dtypes[i] = typesig[2*i]\n    orders[i] = typesig[2*i+1]\n  }\n  \n  //Determine where block and loop indices start and end\n  var blockBegin = [], blockEnd = [] // These indices are exposed as blocks\n  var loopBegin = [], loopEnd = [] // These indices are iterated over\n  var loopOrders = [] // orders restricted to the loop indices\n  for(var i=0; i<proc.arrayArgs.length; ++i) {\n    if (proc.arrayBlockIndices[i]<0) {\n      loopBegin.push(0)\n      loopEnd.push(dimension)\n      blockBegin.push(dimension)\n      blockEnd.push(dimension+proc.arrayBlockIndices[i])\n    } else {\n      loopBegin.push(proc.arrayBlockIndices[i]) // Non-negative\n      loopEnd.push(proc.arrayBlockIndices[i]+dimension)\n      blockBegin.push(0)\n      blockEnd.push(proc.arrayBlockIndices[i])\n    }\n    var newOrder = []\n    for(var j=0; j<orders[i].length; j++) {\n      if (loopBegin[i]<=orders[i][j] && orders[i][j]<loopEnd[i]) {\n        newOrder.push(orders[i][j]-loopBegin[i]) // If this is a loop index, put it in newOrder, subtracting loopBegin, to make sure that all loopOrders are using a common set of indices.\n      }\n    }\n    loopOrders.push(newOrder)\n  }\n\n  //First create arguments for procedure\n  var arglist = [\"SS\"] // SS is the overall shape over which we iterate\n  var code = [\"'use strict'\"]\n  var vars = []\n  \n  for(var j=0; j<dimension; ++j) {\n    vars.push([\"s\", j, \"=SS[\", j, \"]\"].join(\"\")) // The limits for each dimension.\n  }\n  for(var i=0; i<proc.arrayArgs.length; ++i) {\n    arglist.push(\"a\"+i) // Actual data array\n    arglist.push(\"t\"+i) // Strides\n    arglist.push(\"p\"+i) // Offset in the array at which the data starts (also used for iterating over the data)\n    \n    for(var j=0; j<dimension; ++j) { // Unpack the strides into vars for looping\n      vars.push([\"t\",i,\"p\",j,\"=t\",i,\"[\",loopBegin[i]+j,\"]\"].join(\"\"))\n    }\n    \n    for(var j=0; j<Math.abs(proc.arrayBlockIndices[i]); ++j) { // Unpack the strides into vars for block iteration\n      vars.push([\"t\",i,\"b\",j,\"=t\",i,\"[\",blockBegin[i]+j,\"]\"].join(\"\"))\n    }\n  }\n  for(var i=0; i<proc.scalarArgs.length; ++i) {\n    arglist.push(\"Y\" + i)\n  }\n  if(proc.shapeArgs.length > 0) {\n    vars.push(\"shape=SS.slice(0)\") // Makes the shape over which we iterate available to the user defined functions (so you can use width/height for example)\n  }\n  if(proc.indexArgs.length > 0) {\n    // Prepare an array to keep track of the (logical) indices, initialized to dimension zeroes.\n    var zeros = new Array(dimension)\n    for(var i=0; i<dimension; ++i) {\n      zeros[i] = \"0\"\n    }\n    vars.push([\"index=[\", zeros.join(\",\"), \"]\"].join(\"\"))\n  }\n  for(var i=0; i<proc.offsetArgs.length; ++i) { // Offset arguments used for stencil operations\n    var off_arg = proc.offsetArgs[i]\n    var init_string = []\n    for(var j=0; j<off_arg.offset.length; ++j) {\n      if(off_arg.offset[j] === 0) {\n        continue\n      } else if(off_arg.offset[j] === 1) {\n        init_string.push([\"t\", off_arg.array, \"p\", j].join(\"\"))      \n      } else {\n        init_string.push([off_arg.offset[j], \"*t\", off_arg.array, \"p\", j].join(\"\"))\n      }\n    }\n    if(init_string.length === 0) {\n      vars.push(\"q\" + i + \"=0\")\n    } else {\n      vars.push([\"q\", i, \"=\", init_string.join(\"+\")].join(\"\"))\n    }\n  }\n\n  //Prepare this variables\n  var thisVars = uniq([].concat(proc.pre.thisVars)\n                      .concat(proc.body.thisVars)\n                      .concat(proc.post.thisVars))\n  vars = vars.concat(thisVars)\n  if (vars.length > 0) {\n    code.push(\"var \" + vars.join(\",\"))\n  }\n  for(var i=0; i<proc.arrayArgs.length; ++i) {\n    code.push(\"p\"+i+\"|=0\")\n  }\n  \n  //Inline prelude\n  if(proc.pre.body.length > 3) {\n    code.push(processBlock(proc.pre, proc, dtypes))\n  }\n\n  //Process body\n  var body = processBlock(proc.body, proc, dtypes)\n  var matched = countMatches(loopOrders)\n  if(matched < dimension) {\n    code.push(outerFill(matched, loopOrders[0], proc, body)) // TODO: Rather than passing loopOrders[0], it might be interesting to look at passing an order that represents the majority of the arguments for example.\n  } else {\n    code.push(innerFill(loopOrders[0], proc, body))\n  }\n\n  //Inline epilog\n  if(proc.post.body.length > 3) {\n    code.push(processBlock(proc.post, proc, dtypes))\n  }\n  \n  if(proc.debug) {\n    console.log(\"-----Generated cwise routine for \", typesig, \":\\n\" + code.join(\"\\n\") + \"\\n----------\")\n  }\n  \n  var loopName = [(proc.funcName||\"unnamed\"), \"_cwise_loop_\", orders[0].join(\"s\"),\"m\",matched,typeSummary(dtypes)].join(\"\")\n  var f = new Function([\"function \",loopName,\"(\", arglist.join(\",\"),\"){\", code.join(\"\\n\"),\"} return \", loopName].join(\"\"))\n  return f()\n}\nmodule.exports = generateCWiseOp\n\n},{\"uniq\":524}],136:[function(_dereq_,module,exports){\n\"use strict\"\n\n// The function below is called when constructing a cwise function object, and does the following:\n// A function object is constructed which accepts as argument a compilation function and returns another function.\n// It is this other function that is eventually returned by createThunk, and this function is the one that actually\n// checks whether a certain pattern of arguments has already been used before and compiles new loops as needed.\n// The compilation passed to the first function object is used for compiling new functions.\n// Once this function object is created, it is called with compile as argument, where the first argument of compile\n// is bound to \"proc\" (essentially containing a preprocessed version of the user arguments to cwise).\n// So createThunk roughly works like this:\n// function createThunk(proc) {\n//   var thunk = function(compileBound) {\n//     var CACHED = {}\n//     return function(arrays and scalars) {\n//       if (dtype and order of arrays in CACHED) {\n//         var func = CACHED[dtype and order of arrays]\n//       } else {\n//         var func = CACHED[dtype and order of arrays] = compileBound(dtype and order of arrays)\n//       }\n//       return func(arrays and scalars)\n//     }\n//   }\n//   return thunk(compile.bind1(proc))\n// }\n\nvar compile = _dereq_(\"./compile.js\")\n\nfunction createThunk(proc) {\n  var code = [\"'use strict'\", \"var CACHED={}\"]\n  var vars = []\n  var thunkName = proc.funcName + \"_cwise_thunk\"\n  \n  //Build thunk\n  code.push([\"return function \", thunkName, \"(\", proc.shimArgs.join(\",\"), \"){\"].join(\"\"))\n  var typesig = []\n  var string_typesig = []\n  var proc_args = [[\"array\",proc.arrayArgs[0],\".shape.slice(\", // Slice shape so that we only retain the shape over which we iterate (which gets passed to the cwise operator as SS).\n                    Math.max(0,proc.arrayBlockIndices[0]),proc.arrayBlockIndices[0]<0?(\",\"+proc.arrayBlockIndices[0]+\")\"):\")\"].join(\"\")]\n  var shapeLengthConditions = [], shapeConditions = []\n  // Process array arguments\n  for(var i=0; i<proc.arrayArgs.length; ++i) {\n    var j = proc.arrayArgs[i]\n    vars.push([\"t\", j, \"=array\", j, \".dtype,\",\n               \"r\", j, \"=array\", j, \".order\"].join(\"\"))\n    typesig.push(\"t\" + j)\n    typesig.push(\"r\" + j)\n    string_typesig.push(\"t\"+j)\n    string_typesig.push(\"r\"+j+\".join()\")\n    proc_args.push(\"array\" + j + \".data\")\n    proc_args.push(\"array\" + j + \".stride\")\n    proc_args.push(\"array\" + j + \".offset|0\")\n    if (i>0) { // Gather conditions to check for shape equality (ignoring block indices)\n      shapeLengthConditions.push(\"array\" + proc.arrayArgs[0] + \".shape.length===array\" + j + \".shape.length+\" + (Math.abs(proc.arrayBlockIndices[0])-Math.abs(proc.arrayBlockIndices[i])))\n      shapeConditions.push(\"array\" + proc.arrayArgs[0] + \".shape[shapeIndex+\" + Math.max(0,proc.arrayBlockIndices[0]) + \"]===array\" + j + \".shape[shapeIndex+\" + Math.max(0,proc.arrayBlockIndices[i]) + \"]\")\n    }\n  }\n  // Check for shape equality\n  if (proc.arrayArgs.length > 1) {\n    code.push(\"if (!(\" + shapeLengthConditions.join(\" && \") + \")) throw new Error('cwise: Arrays do not all have the same dimensionality!')\")\n    code.push(\"for(var shapeIndex=array\" + proc.arrayArgs[0] + \".shape.length-\" + Math.abs(proc.arrayBlockIndices[0]) + \"; shapeIndex-->0;) {\")\n    code.push(\"if (!(\" + shapeConditions.join(\" && \") + \")) throw new Error('cwise: Arrays do not all have the same shape!')\")\n    code.push(\"}\")\n  }\n  // Process scalar arguments\n  for(var i=0; i<proc.scalarArgs.length; ++i) {\n    proc_args.push(\"scalar\" + proc.scalarArgs[i])\n  }\n  // Check for cached function (and if not present, generate it)\n  vars.push([\"type=[\", string_typesig.join(\",\"), \"].join()\"].join(\"\"))\n  vars.push(\"proc=CACHED[type]\")\n  code.push(\"var \" + vars.join(\",\"))\n  \n  code.push([\"if(!proc){\",\n             \"CACHED[type]=proc=compile([\", typesig.join(\",\"), \"])}\",\n             \"return proc(\", proc_args.join(\",\"), \")}\"].join(\"\"))\n\n  if(proc.debug) {\n    console.log(\"-----Generated thunk:\\n\" + code.join(\"\\n\") + \"\\n----------\")\n  }\n  \n  //Compile thunk\n  var thunk = new Function(\"compile\", code.join(\"\\n\"))\n  return thunk(compile.bind(undefined, proc))\n}\n\nmodule.exports = createThunk\n\n},{\"./compile.js\":135}],137:[function(_dereq_,module,exports){\nmodule.exports = _dereq_(\"cwise-compiler\")\n},{\"cwise-compiler\":134}],138:[function(_dereq_,module,exports){\n'use strict';\n\nvar copy             = _dereq_('es5-ext/object/copy')\n  , normalizeOptions = _dereq_('es5-ext/object/normalize-options')\n  , ensureCallable   = _dereq_('es5-ext/object/valid-callable')\n  , map              = _dereq_('es5-ext/object/map')\n  , callable         = _dereq_('es5-ext/object/valid-callable')\n  , validValue       = _dereq_('es5-ext/object/valid-value')\n\n  , bind = Function.prototype.bind, defineProperty = Object.defineProperty\n  , hasOwnProperty = Object.prototype.hasOwnProperty\n  , define;\n\ndefine = function (name, desc, options) {\n\tvar value = validValue(desc) && callable(desc.value), dgs;\n\tdgs = copy(desc);\n\tdelete dgs.writable;\n\tdelete dgs.value;\n\tdgs.get = function () {\n\t\tif (!options.overwriteDefinition && hasOwnProperty.call(this, name)) return value;\n\t\tdesc.value = bind.call(value, options.resolveContext ? options.resolveContext(this) : this);\n\t\tdefineProperty(this, name, desc);\n\t\treturn this[name];\n\t};\n\treturn dgs;\n};\n\nmodule.exports = function (props/*, options*/) {\n\tvar options = normalizeOptions(arguments[1]);\n\tif (options.resolveContext != null) ensureCallable(options.resolveContext);\n\treturn map(props, function (desc, name) { return define(name, desc, options); });\n};\n\n},{\"es5-ext/object/copy\":174,\"es5-ext/object/map\":183,\"es5-ext/object/normalize-options\":184,\"es5-ext/object/valid-callable\":188,\"es5-ext/object/valid-value\":190}],139:[function(_dereq_,module,exports){\n'use strict';\n\nvar assign        = _dereq_('es5-ext/object/assign')\n  , normalizeOpts = _dereq_('es5-ext/object/normalize-options')\n  , isCallable    = _dereq_('es5-ext/object/is-callable')\n  , contains      = _dereq_('es5-ext/string/#/contains')\n\n  , d;\n\nd = module.exports = function (dscr, value/*, options*/) {\n\tvar c, e, w, options, desc;\n\tif ((arguments.length < 2) || (typeof dscr !== 'string')) {\n\t\toptions = value;\n\t\tvalue = dscr;\n\t\tdscr = null;\n\t} else {\n\t\toptions = arguments[2];\n\t}\n\tif (dscr == null) {\n\t\tc = w = true;\n\t\te = false;\n\t} else {\n\t\tc = contains.call(dscr, 'c');\n\t\te = contains.call(dscr, 'e');\n\t\tw = contains.call(dscr, 'w');\n\t}\n\n\tdesc = { value: value, configurable: c, enumerable: e, writable: w };\n\treturn !options ? desc : assign(normalizeOpts(options), desc);\n};\n\nd.gs = function (dscr, get, set/*, options*/) {\n\tvar c, e, options, desc;\n\tif (typeof dscr !== 'string') {\n\t\toptions = set;\n\t\tset = get;\n\t\tget = dscr;\n\t\tdscr = null;\n\t} else {\n\t\toptions = arguments[3];\n\t}\n\tif (get == null) {\n\t\tget = undefined;\n\t} else if (!isCallable(get)) {\n\t\toptions = get;\n\t\tget = set = undefined;\n\t} else if (set == null) {\n\t\tset = undefined;\n\t} else if (!isCallable(set)) {\n\t\toptions = set;\n\t\tset = undefined;\n\t}\n\tif (dscr == null) {\n\t\tc = true;\n\t\te = false;\n\t} else {\n\t\tc = contains.call(dscr, 'c');\n\t\te = contains.call(dscr, 'e');\n\t}\n\n\tdesc = { get: get, set: set, configurable: c, enumerable: e };\n\treturn !options ? desc : assign(normalizeOpts(options), desc);\n};\n\n},{\"es5-ext/object/assign\":171,\"es5-ext/object/is-callable\":177,\"es5-ext/object/normalize-options\":184,\"es5-ext/string/#/contains\":191}],140:[function(_dereq_,module,exports){\n// https://d3js.org/d3-array/ v1.2.4 Copyright 2018 Mike Bostock\n(function (global, factory) {\ntypeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :\ntypeof define === 'function' && define.amd ? define(['exports'], factory) :\n(factory((global.d3 = global.d3 || {})));\n}(this, (function (exports) { 'use strict';\n\nfunction ascending(a, b) {\n  return a < b ? -1 : a > b ? 1 : a >= b ? 0 : NaN;\n}\n\nfunction bisector(compare) {\n  if (compare.length === 1) compare = ascendingComparator(compare);\n  return {\n    left: function(a, x, lo, hi) {\n      if (lo == null) lo = 0;\n      if (hi == null) hi = a.length;\n      while (lo < hi) {\n        var mid = lo + hi >>> 1;\n        if (compare(a[mid], x) < 0) lo = mid + 1;\n        else hi = mid;\n      }\n      return lo;\n    },\n    right: function(a, x, lo, hi) {\n      if (lo == null) lo = 0;\n      if (hi == null) hi = a.length;\n      while (lo < hi) {\n        var mid = lo + hi >>> 1;\n        if (compare(a[mid], x) > 0) hi = mid;\n        else lo = mid + 1;\n      }\n      return lo;\n    }\n  };\n}\n\nfunction ascendingComparator(f) {\n  return function(d, x) {\n    return ascending(f(d), x);\n  };\n}\n\nvar ascendingBisect = bisector(ascending);\nvar bisectRight = ascendingBisect.right;\nvar bisectLeft = ascendingBisect.left;\n\nfunction pairs(array, f) {\n  if (f == null) f = pair;\n  var i = 0, n = array.length - 1, p = array[0], pairs = new Array(n < 0 ? 0 : n);\n  while (i < n) pairs[i] = f(p, p = array[++i]);\n  return pairs;\n}\n\nfunction pair(a, b) {\n  return [a, b];\n}\n\nfunction cross(values0, values1, reduce) {\n  var n0 = values0.length,\n      n1 = values1.length,\n      values = new Array(n0 * n1),\n      i0,\n      i1,\n      i,\n      value0;\n\n  if (reduce == null) reduce = pair;\n\n  for (i0 = i = 0; i0 < n0; ++i0) {\n    for (value0 = values0[i0], i1 = 0; i1 < n1; ++i1, ++i) {\n      values[i] = reduce(value0, values1[i1]);\n    }\n  }\n\n  return values;\n}\n\nfunction descending(a, b) {\n  return b < a ? -1 : b > a ? 1 : b >= a ? 0 : NaN;\n}\n\nfunction number(x) {\n  return x === null ? NaN : +x;\n}\n\nfunction variance(values, valueof) {\n  var n = values.length,\n      m = 0,\n      i = -1,\n      mean = 0,\n      value,\n      delta,\n      sum = 0;\n\n  if (valueof == null) {\n    while (++i < n) {\n      if (!isNaN(value = number(values[i]))) {\n        delta = value - mean;\n        mean += delta / ++m;\n        sum += delta * (value - mean);\n      }\n    }\n  }\n\n  else {\n    while (++i < n) {\n      if (!isNaN(value = number(valueof(values[i], i, values)))) {\n        delta = value - mean;\n        mean += delta / ++m;\n        sum += delta * (value - mean);\n      }\n    }\n  }\n\n  if (m > 1) return sum / (m - 1);\n}\n\nfunction deviation(array, f) {\n  var v = variance(array, f);\n  return v ? Math.sqrt(v) : v;\n}\n\nfunction extent(values, valueof) {\n  var n = values.length,\n      i = -1,\n      value,\n      min,\n      max;\n\n  if (valueof == null) {\n    while (++i < n) { // Find the first comparable value.\n      if ((value = values[i]) != null && value >= value) {\n        min = max = value;\n        while (++i < n) { // Compare the remaining values.\n          if ((value = values[i]) != null) {\n            if (min > value) min = value;\n            if (max < value) max = value;\n          }\n        }\n      }\n    }\n  }\n\n  else {\n    while (++i < n) { // Find the first comparable value.\n      if ((value = valueof(values[i], i, values)) != null && value >= value) {\n        min = max = value;\n        while (++i < n) { // Compare the remaining values.\n          if ((value = valueof(values[i], i, values)) != null) {\n            if (min > value) min = value;\n            if (max < value) max = value;\n          }\n        }\n      }\n    }\n  }\n\n  return [min, max];\n}\n\nvar array = Array.prototype;\n\nvar slice = array.slice;\nvar map = array.map;\n\nfunction constant(x) {\n  return function() {\n    return x;\n  };\n}\n\nfunction identity(x) {\n  return x;\n}\n\nfunction range(start, stop, step) {\n  start = +start, stop = +stop, step = (n = arguments.length) < 2 ? (stop = start, start = 0, 1) : n < 3 ? 1 : +step;\n\n  var i = -1,\n      n = Math.max(0, Math.ceil((stop - start) / step)) | 0,\n      range = new Array(n);\n\n  while (++i < n) {\n    range[i] = start + i * step;\n  }\n\n  return range;\n}\n\nvar e10 = Math.sqrt(50),\n    e5 = Math.sqrt(10),\n    e2 = Math.sqrt(2);\n\nfunction ticks(start, stop, count) {\n  var reverse,\n      i = -1,\n      n,\n      ticks,\n      step;\n\n  stop = +stop, start = +start, count = +count;\n  if (start === stop && count > 0) return [start];\n  if (reverse = stop < start) n = start, start = stop, stop = n;\n  if ((step = tickIncrement(start, stop, count)) === 0 || !isFinite(step)) return [];\n\n  if (step > 0) {\n    start = Math.ceil(start / step);\n    stop = Math.floor(stop / step);\n    ticks = new Array(n = Math.ceil(stop - start + 1));\n    while (++i < n) ticks[i] = (start + i) * step;\n  } else {\n    start = Math.floor(start * step);\n    stop = Math.ceil(stop * step);\n    ticks = new Array(n = Math.ceil(start - stop + 1));\n    while (++i < n) ticks[i] = (start - i) / step;\n  }\n\n  if (reverse) ticks.reverse();\n\n  return ticks;\n}\n\nfunction tickIncrement(start, stop, count) {\n  var step = (stop - start) / Math.max(0, count),\n      power = Math.floor(Math.log(step) / Math.LN10),\n      error = step / Math.pow(10, power);\n  return power >= 0\n      ? (error >= e10 ? 10 : error >= e5 ? 5 : error >= e2 ? 2 : 1) * Math.pow(10, power)\n      : -Math.pow(10, -power) / (error >= e10 ? 10 : error >= e5 ? 5 : error >= e2 ? 2 : 1);\n}\n\nfunction tickStep(start, stop, count) {\n  var step0 = Math.abs(stop - start) / Math.max(0, count),\n      step1 = Math.pow(10, Math.floor(Math.log(step0) / Math.LN10)),\n      error = step0 / step1;\n  if (error >= e10) step1 *= 10;\n  else if (error >= e5) step1 *= 5;\n  else if (error >= e2) step1 *= 2;\n  return stop < start ? -step1 : step1;\n}\n\nfunction sturges(values) {\n  return Math.ceil(Math.log(values.length) / Math.LN2) + 1;\n}\n\nfunction histogram() {\n  var value = identity,\n      domain = extent,\n      threshold = sturges;\n\n  function histogram(data) {\n    var i,\n        n = data.length,\n        x,\n        values = new Array(n);\n\n    for (i = 0; i < n; ++i) {\n      values[i] = value(data[i], i, data);\n    }\n\n    var xz = domain(values),\n        x0 = xz[0],\n        x1 = xz[1],\n        tz = threshold(values, x0, x1);\n\n    // Convert number of thresholds into uniform thresholds.\n    if (!Array.isArray(tz)) {\n      tz = tickStep(x0, x1, tz);\n      tz = range(Math.ceil(x0 / tz) * tz, x1, tz); // exclusive\n    }\n\n    // Remove any thresholds outside the domain.\n    var m = tz.length;\n    while (tz[0] <= x0) tz.shift(), --m;\n    while (tz[m - 1] > x1) tz.pop(), --m;\n\n    var bins = new Array(m + 1),\n        bin;\n\n    // Initialize bins.\n    for (i = 0; i <= m; ++i) {\n      bin = bins[i] = [];\n      bin.x0 = i > 0 ? tz[i - 1] : x0;\n      bin.x1 = i < m ? tz[i] : x1;\n    }\n\n    // Assign data to bins by value, ignoring any outside the domain.\n    for (i = 0; i < n; ++i) {\n      x = values[i];\n      if (x0 <= x && x <= x1) {\n        bins[bisectRight(tz, x, 0, m)].push(data[i]);\n      }\n    }\n\n    return bins;\n  }\n\n  histogram.value = function(_) {\n    return arguments.length ? (value = typeof _ === \"function\" ? _ : constant(_), histogram) : value;\n  };\n\n  histogram.domain = function(_) {\n    return arguments.length ? (domain = typeof _ === \"function\" ? _ : constant([_[0], _[1]]), histogram) : domain;\n  };\n\n  histogram.thresholds = function(_) {\n    return arguments.length ? (threshold = typeof _ === \"function\" ? _ : Array.isArray(_) ? constant(slice.call(_)) : constant(_), histogram) : threshold;\n  };\n\n  return histogram;\n}\n\nfunction quantile(values, p, valueof) {\n  if (valueof == null) valueof = number;\n  if (!(n = values.length)) return;\n  if ((p = +p) <= 0 || n < 2) return +valueof(values[0], 0, values);\n  if (p >= 1) return +valueof(values[n - 1], n - 1, values);\n  var n,\n      i = (n - 1) * p,\n      i0 = Math.floor(i),\n      value0 = +valueof(values[i0], i0, values),\n      value1 = +valueof(values[i0 + 1], i0 + 1, values);\n  return value0 + (value1 - value0) * (i - i0);\n}\n\nfunction freedmanDiaconis(values, min, max) {\n  values = map.call(values, number).sort(ascending);\n  return Math.ceil((max - min) / (2 * (quantile(values, 0.75) - quantile(values, 0.25)) * Math.pow(values.length, -1 / 3)));\n}\n\nfunction scott(values, min, max) {\n  return Math.ceil((max - min) / (3.5 * deviation(values) * Math.pow(values.length, -1 / 3)));\n}\n\nfunction max(values, valueof) {\n  var n = values.length,\n      i = -1,\n      value,\n      max;\n\n  if (valueof == null) {\n    while (++i < n) { // Find the first comparable value.\n      if ((value = values[i]) != null && value >= value) {\n        max = value;\n        while (++i < n) { // Compare the remaining values.\n          if ((value = values[i]) != null && value > max) {\n            max = value;\n          }\n        }\n      }\n    }\n  }\n\n  else {\n    while (++i < n) { // Find the first comparable value.\n      if ((value = valueof(values[i], i, values)) != null && value >= value) {\n        max = value;\n        while (++i < n) { // Compare the remaining values.\n          if ((value = valueof(values[i], i, values)) != null && value > max) {\n            max = value;\n          }\n        }\n      }\n    }\n  }\n\n  return max;\n}\n\nfunction mean(values, valueof) {\n  var n = values.length,\n      m = n,\n      i = -1,\n      value,\n      sum = 0;\n\n  if (valueof == null) {\n    while (++i < n) {\n      if (!isNaN(value = number(values[i]))) sum += value;\n      else --m;\n    }\n  }\n\n  else {\n    while (++i < n) {\n      if (!isNaN(value = number(valueof(values[i], i, values)))) sum += value;\n      else --m;\n    }\n  }\n\n  if (m) return sum / m;\n}\n\nfunction median(values, valueof) {\n  var n = values.length,\n      i = -1,\n      value,\n      numbers = [];\n\n  if (valueof == null) {\n    while (++i < n) {\n      if (!isNaN(value = number(values[i]))) {\n        numbers.push(value);\n      }\n    }\n  }\n\n  else {\n    while (++i < n) {\n      if (!isNaN(value = number(valueof(values[i], i, values)))) {\n        numbers.push(value);\n      }\n    }\n  }\n\n  return quantile(numbers.sort(ascending), 0.5);\n}\n\nfunction merge(arrays) {\n  var n = arrays.length,\n      m,\n      i = -1,\n      j = 0,\n      merged,\n      array;\n\n  while (++i < n) j += arrays[i].length;\n  merged = new Array(j);\n\n  while (--n >= 0) {\n    array = arrays[n];\n    m = array.length;\n    while (--m >= 0) {\n      merged[--j] = array[m];\n    }\n  }\n\n  return merged;\n}\n\nfunction min(values, valueof) {\n  var n = values.length,\n      i = -1,\n      value,\n      min;\n\n  if (valueof == null) {\n    while (++i < n) { // Find the first comparable value.\n      if ((value = values[i]) != null && value >= value) {\n        min = value;\n        while (++i < n) { // Compare the remaining values.\n          if ((value = values[i]) != null && min > value) {\n            min = value;\n          }\n        }\n      }\n    }\n  }\n\n  else {\n    while (++i < n) { // Find the first comparable value.\n      if ((value = valueof(values[i], i, values)) != null && value >= value) {\n        min = value;\n        while (++i < n) { // Compare the remaining values.\n          if ((value = valueof(values[i], i, values)) != null && min > value) {\n            min = value;\n          }\n        }\n      }\n    }\n  }\n\n  return min;\n}\n\nfunction permute(array, indexes) {\n  var i = indexes.length, permutes = new Array(i);\n  while (i--) permutes[i] = array[indexes[i]];\n  return permutes;\n}\n\nfunction scan(values, compare) {\n  if (!(n = values.length)) return;\n  var n,\n      i = 0,\n      j = 0,\n      xi,\n      xj = values[j];\n\n  if (compare == null) compare = ascending;\n\n  while (++i < n) {\n    if (compare(xi = values[i], xj) < 0 || compare(xj, xj) !== 0) {\n      xj = xi, j = i;\n    }\n  }\n\n  if (compare(xj, xj) === 0) return j;\n}\n\nfunction shuffle(array, i0, i1) {\n  var m = (i1 == null ? array.length : i1) - (i0 = i0 == null ? 0 : +i0),\n      t,\n      i;\n\n  while (m) {\n    i = Math.random() * m-- | 0;\n    t = array[m + i0];\n    array[m + i0] = array[i + i0];\n    array[i + i0] = t;\n  }\n\n  return array;\n}\n\nfunction sum(values, valueof) {\n  var n = values.length,\n      i = -1,\n      value,\n      sum = 0;\n\n  if (valueof == null) {\n    while (++i < n) {\n      if (value = +values[i]) sum += value; // Note: zero and null are equivalent.\n    }\n  }\n\n  else {\n    while (++i < n) {\n      if (value = +valueof(values[i], i, values)) sum += value;\n    }\n  }\n\n  return sum;\n}\n\nfunction transpose(matrix) {\n  if (!(n = matrix.length)) return [];\n  for (var i = -1, m = min(matrix, length), transpose = new Array(m); ++i < m;) {\n    for (var j = -1, n, row = transpose[i] = new Array(n); ++j < n;) {\n      row[j] = matrix[j][i];\n    }\n  }\n  return transpose;\n}\n\nfunction length(d) {\n  return d.length;\n}\n\nfunction zip() {\n  return transpose(arguments);\n}\n\nexports.bisect = bisectRight;\nexports.bisectRight = bisectRight;\nexports.bisectLeft = bisectLeft;\nexports.ascending = ascending;\nexports.bisector = bisector;\nexports.cross = cross;\nexports.descending = descending;\nexports.deviation = deviation;\nexports.extent = extent;\nexports.histogram = histogram;\nexports.thresholdFreedmanDiaconis = freedmanDiaconis;\nexports.thresholdScott = scott;\nexports.thresholdSturges = sturges;\nexports.max = max;\nexports.mean = mean;\nexports.median = median;\nexports.merge = merge;\nexports.min = min;\nexports.pairs = pairs;\nexports.permute = permute;\nexports.quantile = quantile;\nexports.range = range;\nexports.scan = scan;\nexports.shuffle = shuffle;\nexports.sum = sum;\nexports.ticks = ticks;\nexports.tickIncrement = tickIncrement;\nexports.tickStep = tickStep;\nexports.transpose = transpose;\nexports.variance = variance;\nexports.zip = zip;\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n})));\n\n},{}],141:[function(_dereq_,module,exports){\n// https://d3js.org/d3-collection/ Version 1.0.4. Copyright 2017 Mike Bostock.\n(function (global, factory) {\n\ttypeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :\n\ttypeof define === 'function' && define.amd ? define(['exports'], factory) :\n\t(factory((global.d3 = global.d3 || {})));\n}(this, (function (exports) { 'use strict';\n\nvar prefix = \"$\";\n\nfunction Map() {}\n\nMap.prototype = map.prototype = {\n  constructor: Map,\n  has: function(key) {\n    return (prefix + key) in this;\n  },\n  get: function(key) {\n    return this[prefix + key];\n  },\n  set: function(key, value) {\n    this[prefix + key] = value;\n    return this;\n  },\n  remove: function(key) {\n    var property = prefix + key;\n    return property in this && delete this[property];\n  },\n  clear: function() {\n    for (var property in this) if (property[0] === prefix) delete this[property];\n  },\n  keys: function() {\n    var keys = [];\n    for (var property in this) if (property[0] === prefix) keys.push(property.slice(1));\n    return keys;\n  },\n  values: function() {\n    var values = [];\n    for (var property in this) if (property[0] === prefix) values.push(this[property]);\n    return values;\n  },\n  entries: function() {\n    var entries = [];\n    for (var property in this) if (property[0] === prefix) entries.push({key: property.slice(1), value: this[property]});\n    return entries;\n  },\n  size: function() {\n    var size = 0;\n    for (var property in this) if (property[0] === prefix) ++size;\n    return size;\n  },\n  empty: function() {\n    for (var property in this) if (property[0] === prefix) return false;\n    return true;\n  },\n  each: function(f) {\n    for (var property in this) if (property[0] === prefix) f(this[property], property.slice(1), this);\n  }\n};\n\nfunction map(object, f) {\n  var map = new Map;\n\n  // Copy constructor.\n  if (object instanceof Map) object.each(function(value, key) { map.set(key, value); });\n\n  // Index array by numeric index or specified key function.\n  else if (Array.isArray(object)) {\n    var i = -1,\n        n = object.length,\n        o;\n\n    if (f == null) while (++i < n) map.set(i, object[i]);\n    else while (++i < n) map.set(f(o = object[i], i, object), o);\n  }\n\n  // Convert object to map.\n  else if (object) for (var key in object) map.set(key, object[key]);\n\n  return map;\n}\n\nvar nest = function() {\n  var keys = [],\n      sortKeys = [],\n      sortValues,\n      rollup,\n      nest;\n\n  function apply(array, depth, createResult, setResult) {\n    if (depth >= keys.length) {\n      if (sortValues != null) array.sort(sortValues);\n      return rollup != null ? rollup(array) : array;\n    }\n\n    var i = -1,\n        n = array.length,\n        key = keys[depth++],\n        keyValue,\n        value,\n        valuesByKey = map(),\n        values,\n        result = createResult();\n\n    while (++i < n) {\n      if (values = valuesByKey.get(keyValue = key(value = array[i]) + \"\")) {\n        values.push(value);\n      } else {\n        valuesByKey.set(keyValue, [value]);\n      }\n    }\n\n    valuesByKey.each(function(values, key) {\n      setResult(result, key, apply(values, depth, createResult, setResult));\n    });\n\n    return result;\n  }\n\n  function entries(map$$1, depth) {\n    if (++depth > keys.length) return map$$1;\n    var array, sortKey = sortKeys[depth - 1];\n    if (rollup != null && depth >= keys.length) array = map$$1.entries();\n    else array = [], map$$1.each(function(v, k) { array.push({key: k, values: entries(v, depth)}); });\n    return sortKey != null ? array.sort(function(a, b) { return sortKey(a.key, b.key); }) : array;\n  }\n\n  return nest = {\n    object: function(array) { return apply(array, 0, createObject, setObject); },\n    map: function(array) { return apply(array, 0, createMap, setMap); },\n    entries: function(array) { return entries(apply(array, 0, createMap, setMap), 0); },\n    key: function(d) { keys.push(d); return nest; },\n    sortKeys: function(order) { sortKeys[keys.length - 1] = order; return nest; },\n    sortValues: function(order) { sortValues = order; return nest; },\n    rollup: function(f) { rollup = f; return nest; }\n  };\n};\n\nfunction createObject() {\n  return {};\n}\n\nfunction setObject(object, key, value) {\n  object[key] = value;\n}\n\nfunction createMap() {\n  return map();\n}\n\nfunction setMap(map$$1, key, value) {\n  map$$1.set(key, value);\n}\n\nfunction Set() {}\n\nvar proto = map.prototype;\n\nSet.prototype = set.prototype = {\n  constructor: Set,\n  has: proto.has,\n  add: function(value) {\n    value += \"\";\n    this[prefix + value] = value;\n    return this;\n  },\n  remove: proto.remove,\n  clear: proto.clear,\n  values: proto.keys,\n  size: proto.size,\n  empty: proto.empty,\n  each: proto.each\n};\n\nfunction set(object, f) {\n  var set = new Set;\n\n  // Copy constructor.\n  if (object instanceof Set) object.each(function(value) { set.add(value); });\n\n  // Otherwise, assume it’s an array.\n  else if (object) {\n    var i = -1, n = object.length;\n    if (f == null) while (++i < n) set.add(object[i]);\n    else while (++i < n) set.add(f(object[i], i, object));\n  }\n\n  return set;\n}\n\nvar keys = function(map) {\n  var keys = [];\n  for (var key in map) keys.push(key);\n  return keys;\n};\n\nvar values = function(map) {\n  var values = [];\n  for (var key in map) values.push(map[key]);\n  return values;\n};\n\nvar entries = function(map) {\n  var entries = [];\n  for (var key in map) entries.push({key: key, value: map[key]});\n  return entries;\n};\n\nexports.nest = nest;\nexports.set = set;\nexports.map = map;\nexports.keys = keys;\nexports.values = values;\nexports.entries = entries;\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n})));\n\n},{}],142:[function(_dereq_,module,exports){\n// https://d3js.org/d3-color/ v1.2.3 Copyright 2018 Mike Bostock\n(function (global, factory) {\ntypeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :\ntypeof define === 'function' && define.amd ? define(['exports'], factory) :\n(factory((global.d3 = global.d3 || {})));\n}(this, (function (exports) { 'use strict';\n\nfunction define(constructor, factory, prototype) {\n  constructor.prototype = factory.prototype = prototype;\n  prototype.constructor = constructor;\n}\n\nfunction extend(parent, definition) {\n  var prototype = Object.create(parent.prototype);\n  for (var key in definition) prototype[key] = definition[key];\n  return prototype;\n}\n\nfunction Color() {}\n\nvar darker = 0.7;\nvar brighter = 1 / darker;\n\nvar reI = \"\\\\s*([+-]?\\\\d+)\\\\s*\",\n    reN = \"\\\\s*([+-]?\\\\d*\\\\.?\\\\d+(?:[eE][+-]?\\\\d+)?)\\\\s*\",\n    reP = \"\\\\s*([+-]?\\\\d*\\\\.?\\\\d+(?:[eE][+-]?\\\\d+)?)%\\\\s*\",\n    reHex3 = /^#([0-9a-f]{3})$/,\n    reHex6 = /^#([0-9a-f]{6})$/,\n    reRgbInteger = new RegExp(\"^rgb\\\\(\" + [reI, reI, reI] + \"\\\\)$\"),\n    reRgbPercent = new RegExp(\"^rgb\\\\(\" + [reP, reP, reP] + \"\\\\)$\"),\n    reRgbaInteger = new RegExp(\"^rgba\\\\(\" + [reI, reI, reI, reN] + \"\\\\)$\"),\n    reRgbaPercent = new RegExp(\"^rgba\\\\(\" + [reP, reP, reP, reN] + \"\\\\)$\"),\n    reHslPercent = new RegExp(\"^hsl\\\\(\" + [reN, reP, reP] + \"\\\\)$\"),\n    reHslaPercent = new RegExp(\"^hsla\\\\(\" + [reN, reP, reP, reN] + \"\\\\)$\");\n\nvar named = {\n  aliceblue: 0xf0f8ff,\n  antiquewhite: 0xfaebd7,\n  aqua: 0x00ffff,\n  aquamarine: 0x7fffd4,\n  azure: 0xf0ffff,\n  beige: 0xf5f5dc,\n  bisque: 0xffe4c4,\n  black: 0x000000,\n  blanchedalmond: 0xffebcd,\n  blue: 0x0000ff,\n  blueviolet: 0x8a2be2,\n  brown: 0xa52a2a,\n  burlywood: 0xdeb887,\n  cadetblue: 0x5f9ea0,\n  chartreuse: 0x7fff00,\n  chocolate: 0xd2691e,\n  coral: 0xff7f50,\n  cornflowerblue: 0x6495ed,\n  cornsilk: 0xfff8dc,\n  crimson: 0xdc143c,\n  cyan: 0x00ffff,\n  darkblue: 0x00008b,\n  darkcyan: 0x008b8b,\n  darkgoldenrod: 0xb8860b,\n  darkgray: 0xa9a9a9,\n  darkgreen: 0x006400,\n  darkgrey: 0xa9a9a9,\n  darkkhaki: 0xbdb76b,\n  darkmagenta: 0x8b008b,\n  darkolivegreen: 0x556b2f,\n  darkorange: 0xff8c00,\n  darkorchid: 0x9932cc,\n  darkred: 0x8b0000,\n  darksalmon: 0xe9967a,\n  darkseagreen: 0x8fbc8f,\n  darkslateblue: 0x483d8b,\n  darkslategray: 0x2f4f4f,\n  darkslategrey: 0x2f4f4f,\n  darkturquoise: 0x00ced1,\n  darkviolet: 0x9400d3,\n  deeppink: 0xff1493,\n  deepskyblue: 0x00bfff,\n  dimgray: 0x696969,\n  dimgrey: 0x696969,\n  dodgerblue: 0x1e90ff,\n  firebrick: 0xb22222,\n  floralwhite: 0xfffaf0,\n  forestgreen: 0x228b22,\n  fuchsia: 0xff00ff,\n  gainsboro: 0xdcdcdc,\n  ghostwhite: 0xf8f8ff,\n  gold: 0xffd700,\n  goldenrod: 0xdaa520,\n  gray: 0x808080,\n  green: 0x008000,\n  greenyellow: 0xadff2f,\n  grey: 0x808080,\n  honeydew: 0xf0fff0,\n  hotpink: 0xff69b4,\n  indianred: 0xcd5c5c,\n  indigo: 0x4b0082,\n  ivory: 0xfffff0,\n  khaki: 0xf0e68c,\n  lavender: 0xe6e6fa,\n  lavenderblush: 0xfff0f5,\n  lawngreen: 0x7cfc00,\n  lemonchiffon: 0xfffacd,\n  lightblue: 0xadd8e6,\n  lightcoral: 0xf08080,\n  lightcyan: 0xe0ffff,\n  lightgoldenrodyellow: 0xfafad2,\n  lightgray: 0xd3d3d3,\n  lightgreen: 0x90ee90,\n  lightgrey: 0xd3d3d3,\n  lightpink: 0xffb6c1,\n  lightsalmon: 0xffa07a,\n  lightseagreen: 0x20b2aa,\n  lightskyblue: 0x87cefa,\n  lightslategray: 0x778899,\n  lightslategrey: 0x778899,\n  lightsteelblue: 0xb0c4de,\n  lightyellow: 0xffffe0,\n  lime: 0x00ff00,\n  limegreen: 0x32cd32,\n  linen: 0xfaf0e6,\n  magenta: 0xff00ff,\n  maroon: 0x800000,\n  mediumaquamarine: 0x66cdaa,\n  mediumblue: 0x0000cd,\n  mediumorchid: 0xba55d3,\n  mediumpurple: 0x9370db,\n  mediumseagreen: 0x3cb371,\n  mediumslateblue: 0x7b68ee,\n  mediumspringgreen: 0x00fa9a,\n  mediumturquoise: 0x48d1cc,\n  mediumvioletred: 0xc71585,\n  midnightblue: 0x191970,\n  mintcream: 0xf5fffa,\n  mistyrose: 0xffe4e1,\n  moccasin: 0xffe4b5,\n  navajowhite: 0xffdead,\n  navy: 0x000080,\n  oldlace: 0xfdf5e6,\n  olive: 0x808000,\n  olivedrab: 0x6b8e23,\n  orange: 0xffa500,\n  orangered: 0xff4500,\n  orchid: 0xda70d6,\n  palegoldenrod: 0xeee8aa,\n  palegreen: 0x98fb98,\n  paleturquoise: 0xafeeee,\n  palevioletred: 0xdb7093,\n  papayawhip: 0xffefd5,\n  peachpuff: 0xffdab9,\n  peru: 0xcd853f,\n  pink: 0xffc0cb,\n  plum: 0xdda0dd,\n  powderblue: 0xb0e0e6,\n  purple: 0x800080,\n  rebeccapurple: 0x663399,\n  red: 0xff0000,\n  rosybrown: 0xbc8f8f,\n  royalblue: 0x4169e1,\n  saddlebrown: 0x8b4513,\n  salmon: 0xfa8072,\n  sandybrown: 0xf4a460,\n  seagreen: 0x2e8b57,\n  seashell: 0xfff5ee,\n  sienna: 0xa0522d,\n  silver: 0xc0c0c0,\n  skyblue: 0x87ceeb,\n  slateblue: 0x6a5acd,\n  slategray: 0x708090,\n  slategrey: 0x708090,\n  snow: 0xfffafa,\n  springgreen: 0x00ff7f,\n  steelblue: 0x4682b4,\n  tan: 0xd2b48c,\n  teal: 0x008080,\n  thistle: 0xd8bfd8,\n  tomato: 0xff6347,\n  turquoise: 0x40e0d0,\n  violet: 0xee82ee,\n  wheat: 0xf5deb3,\n  white: 0xffffff,\n  whitesmoke: 0xf5f5f5,\n  yellow: 0xffff00,\n  yellowgreen: 0x9acd32\n};\n\ndefine(Color, color, {\n  displayable: function() {\n    return this.rgb().displayable();\n  },\n  hex: function() {\n    return this.rgb().hex();\n  },\n  toString: function() {\n    return this.rgb() + \"\";\n  }\n});\n\nfunction color(format) {\n  var m;\n  format = (format + \"\").trim().toLowerCase();\n  return (m = reHex3.exec(format)) ? (m = parseInt(m[1], 16), new Rgb((m >> 8 & 0xf) | (m >> 4 & 0x0f0), (m >> 4 & 0xf) | (m & 0xf0), ((m & 0xf) << 4) | (m & 0xf), 1)) // #f00\n      : (m = reHex6.exec(format)) ? rgbn(parseInt(m[1], 16)) // #ff0000\n      : (m = reRgbInteger.exec(format)) ? new Rgb(m[1], m[2], m[3], 1) // rgb(255, 0, 0)\n      : (m = reRgbPercent.exec(format)) ? new Rgb(m[1] * 255 / 100, m[2] * 255 / 100, m[3] * 255 / 100, 1) // rgb(100%, 0%, 0%)\n      : (m = reRgbaInteger.exec(format)) ? rgba(m[1], m[2], m[3], m[4]) // rgba(255, 0, 0, 1)\n      : (m = reRgbaPercent.exec(format)) ? rgba(m[1] * 255 / 100, m[2] * 255 / 100, m[3] * 255 / 100, m[4]) // rgb(100%, 0%, 0%, 1)\n      : (m = reHslPercent.exec(format)) ? hsla(m[1], m[2] / 100, m[3] / 100, 1) // hsl(120, 50%, 50%)\n      : (m = reHslaPercent.exec(format)) ? hsla(m[1], m[2] / 100, m[3] / 100, m[4]) // hsla(120, 50%, 50%, 1)\n      : named.hasOwnProperty(format) ? rgbn(named[format])\n      : format === \"transparent\" ? new Rgb(NaN, NaN, NaN, 0)\n      : null;\n}\n\nfunction rgbn(n) {\n  return new Rgb(n >> 16 & 0xff, n >> 8 & 0xff, n & 0xff, 1);\n}\n\nfunction rgba(r, g, b, a) {\n  if (a <= 0) r = g = b = NaN;\n  return new Rgb(r, g, b, a);\n}\n\nfunction rgbConvert(o) {\n  if (!(o instanceof Color)) o = color(o);\n  if (!o) return new Rgb;\n  o = o.rgb();\n  return new Rgb(o.r, o.g, o.b, o.opacity);\n}\n\nfunction rgb(r, g, b, opacity) {\n  return arguments.length === 1 ? rgbConvert(r) : new Rgb(r, g, b, opacity == null ? 1 : opacity);\n}\n\nfunction Rgb(r, g, b, opacity) {\n  this.r = +r;\n  this.g = +g;\n  this.b = +b;\n  this.opacity = +opacity;\n}\n\ndefine(Rgb, rgb, extend(Color, {\n  brighter: function(k) {\n    k = k == null ? brighter : Math.pow(brighter, k);\n    return new Rgb(this.r * k, this.g * k, this.b * k, this.opacity);\n  },\n  darker: function(k) {\n    k = k == null ? darker : Math.pow(darker, k);\n    return new Rgb(this.r * k, this.g * k, this.b * k, this.opacity);\n  },\n  rgb: function() {\n    return this;\n  },\n  displayable: function() {\n    return (0 <= this.r && this.r <= 255)\n        && (0 <= this.g && this.g <= 255)\n        && (0 <= this.b && this.b <= 255)\n        && (0 <= this.opacity && this.opacity <= 1);\n  },\n  hex: function() {\n    return \"#\" + hex(this.r) + hex(this.g) + hex(this.b);\n  },\n  toString: function() {\n    var a = this.opacity; a = isNaN(a) ? 1 : Math.max(0, Math.min(1, a));\n    return (a === 1 ? \"rgb(\" : \"rgba(\")\n        + Math.max(0, Math.min(255, Math.round(this.r) || 0)) + \", \"\n        + Math.max(0, Math.min(255, Math.round(this.g) || 0)) + \", \"\n        + Math.max(0, Math.min(255, Math.round(this.b) || 0))\n        + (a === 1 ? \")\" : \", \" + a + \")\");\n  }\n}));\n\nfunction hex(value) {\n  value = Math.max(0, Math.min(255, Math.round(value) || 0));\n  return (value < 16 ? \"0\" : \"\") + value.toString(16);\n}\n\nfunction hsla(h, s, l, a) {\n  if (a <= 0) h = s = l = NaN;\n  else if (l <= 0 || l >= 1) h = s = NaN;\n  else if (s <= 0) h = NaN;\n  return new Hsl(h, s, l, a);\n}\n\nfunction hslConvert(o) {\n  if (o instanceof Hsl) return new Hsl(o.h, o.s, o.l, o.opacity);\n  if (!(o instanceof Color)) o = color(o);\n  if (!o) return new Hsl;\n  if (o instanceof Hsl) return o;\n  o = o.rgb();\n  var r = o.r / 255,\n      g = o.g / 255,\n      b = o.b / 255,\n      min = Math.min(r, g, b),\n      max = Math.max(r, g, b),\n      h = NaN,\n      s = max - min,\n      l = (max + min) / 2;\n  if (s) {\n    if (r === max) h = (g - b) / s + (g < b) * 6;\n    else if (g === max) h = (b - r) / s + 2;\n    else h = (r - g) / s + 4;\n    s /= l < 0.5 ? max + min : 2 - max - min;\n    h *= 60;\n  } else {\n    s = l > 0 && l < 1 ? 0 : h;\n  }\n  return new Hsl(h, s, l, o.opacity);\n}\n\nfunction hsl(h, s, l, opacity) {\n  return arguments.length === 1 ? hslConvert(h) : new Hsl(h, s, l, opacity == null ? 1 : opacity);\n}\n\nfunction Hsl(h, s, l, opacity) {\n  this.h = +h;\n  this.s = +s;\n  this.l = +l;\n  this.opacity = +opacity;\n}\n\ndefine(Hsl, hsl, extend(Color, {\n  brighter: function(k) {\n    k = k == null ? brighter : Math.pow(brighter, k);\n    return new Hsl(this.h, this.s, this.l * k, this.opacity);\n  },\n  darker: function(k) {\n    k = k == null ? darker : Math.pow(darker, k);\n    return new Hsl(this.h, this.s, this.l * k, this.opacity);\n  },\n  rgb: function() {\n    var h = this.h % 360 + (this.h < 0) * 360,\n        s = isNaN(h) || isNaN(this.s) ? 0 : this.s,\n        l = this.l,\n        m2 = l + (l < 0.5 ? l : 1 - l) * s,\n        m1 = 2 * l - m2;\n    return new Rgb(\n      hsl2rgb(h >= 240 ? h - 240 : h + 120, m1, m2),\n      hsl2rgb(h, m1, m2),\n      hsl2rgb(h < 120 ? h + 240 : h - 120, m1, m2),\n      this.opacity\n    );\n  },\n  displayable: function() {\n    return (0 <= this.s && this.s <= 1 || isNaN(this.s))\n        && (0 <= this.l && this.l <= 1)\n        && (0 <= this.opacity && this.opacity <= 1);\n  }\n}));\n\n/* From FvD 13.37, CSS Color Module Level 3 */\nfunction hsl2rgb(h, m1, m2) {\n  return (h < 60 ? m1 + (m2 - m1) * h / 60\n      : h < 180 ? m2\n      : h < 240 ? m1 + (m2 - m1) * (240 - h) / 60\n      : m1) * 255;\n}\n\nvar deg2rad = Math.PI / 180;\nvar rad2deg = 180 / Math.PI;\n\n// https://beta.observablehq.com/@mbostock/lab-and-rgb\nvar K = 18,\n    Xn = 0.96422,\n    Yn = 1,\n    Zn = 0.82521,\n    t0 = 4 / 29,\n    t1 = 6 / 29,\n    t2 = 3 * t1 * t1,\n    t3 = t1 * t1 * t1;\n\nfunction labConvert(o) {\n  if (o instanceof Lab) return new Lab(o.l, o.a, o.b, o.opacity);\n  if (o instanceof Hcl) {\n    if (isNaN(o.h)) return new Lab(o.l, 0, 0, o.opacity);\n    var h = o.h * deg2rad;\n    return new Lab(o.l, Math.cos(h) * o.c, Math.sin(h) * o.c, o.opacity);\n  }\n  if (!(o instanceof Rgb)) o = rgbConvert(o);\n  var r = rgb2lrgb(o.r),\n      g = rgb2lrgb(o.g),\n      b = rgb2lrgb(o.b),\n      y = xyz2lab((0.2225045 * r + 0.7168786 * g + 0.0606169 * b) / Yn), x, z;\n  if (r === g && g === b) x = z = y; else {\n    x = xyz2lab((0.4360747 * r + 0.3850649 * g + 0.1430804 * b) / Xn);\n    z = xyz2lab((0.0139322 * r + 0.0971045 * g + 0.7141733 * b) / Zn);\n  }\n  return new Lab(116 * y - 16, 500 * (x - y), 200 * (y - z), o.opacity);\n}\n\nfunction gray(l, opacity) {\n  return new Lab(l, 0, 0, opacity == null ? 1 : opacity);\n}\n\nfunction lab(l, a, b, opacity) {\n  return arguments.length === 1 ? labConvert(l) : new Lab(l, a, b, opacity == null ? 1 : opacity);\n}\n\nfunction Lab(l, a, b, opacity) {\n  this.l = +l;\n  this.a = +a;\n  this.b = +b;\n  this.opacity = +opacity;\n}\n\ndefine(Lab, lab, extend(Color, {\n  brighter: function(k) {\n    return new Lab(this.l + K * (k == null ? 1 : k), this.a, this.b, this.opacity);\n  },\n  darker: function(k) {\n    return new Lab(this.l - K * (k == null ? 1 : k), this.a, this.b, this.opacity);\n  },\n  rgb: function() {\n    var y = (this.l + 16) / 116,\n        x = isNaN(this.a) ? y : y + this.a / 500,\n        z = isNaN(this.b) ? y : y - this.b / 200;\n    x = Xn * lab2xyz(x);\n    y = Yn * lab2xyz(y);\n    z = Zn * lab2xyz(z);\n    return new Rgb(\n      lrgb2rgb( 3.1338561 * x - 1.6168667 * y - 0.4906146 * z),\n      lrgb2rgb(-0.9787684 * x + 1.9161415 * y + 0.0334540 * z),\n      lrgb2rgb( 0.0719453 * x - 0.2289914 * y + 1.4052427 * z),\n      this.opacity\n    );\n  }\n}));\n\nfunction xyz2lab(t) {\n  return t > t3 ? Math.pow(t, 1 / 3) : t / t2 + t0;\n}\n\nfunction lab2xyz(t) {\n  return t > t1 ? t * t * t : t2 * (t - t0);\n}\n\nfunction lrgb2rgb(x) {\n  return 255 * (x <= 0.0031308 ? 12.92 * x : 1.055 * Math.pow(x, 1 / 2.4) - 0.055);\n}\n\nfunction rgb2lrgb(x) {\n  return (x /= 255) <= 0.04045 ? x / 12.92 : Math.pow((x + 0.055) / 1.055, 2.4);\n}\n\nfunction hclConvert(o) {\n  if (o instanceof Hcl) return new Hcl(o.h, o.c, o.l, o.opacity);\n  if (!(o instanceof Lab)) o = labConvert(o);\n  if (o.a === 0 && o.b === 0) return new Hcl(NaN, 0, o.l, o.opacity);\n  var h = Math.atan2(o.b, o.a) * rad2deg;\n  return new Hcl(h < 0 ? h + 360 : h, Math.sqrt(o.a * o.a + o.b * o.b), o.l, o.opacity);\n}\n\nfunction lch(l, c, h, opacity) {\n  return arguments.length === 1 ? hclConvert(l) : new Hcl(h, c, l, opacity == null ? 1 : opacity);\n}\n\nfunction hcl(h, c, l, opacity) {\n  return arguments.length === 1 ? hclConvert(h) : new Hcl(h, c, l, opacity == null ? 1 : opacity);\n}\n\nfunction Hcl(h, c, l, opacity) {\n  this.h = +h;\n  this.c = +c;\n  this.l = +l;\n  this.opacity = +opacity;\n}\n\ndefine(Hcl, hcl, extend(Color, {\n  brighter: function(k) {\n    return new Hcl(this.h, this.c, this.l + K * (k == null ? 1 : k), this.opacity);\n  },\n  darker: function(k) {\n    return new Hcl(this.h, this.c, this.l - K * (k == null ? 1 : k), this.opacity);\n  },\n  rgb: function() {\n    return labConvert(this).rgb();\n  }\n}));\n\nvar A = -0.14861,\n    B = +1.78277,\n    C = -0.29227,\n    D = -0.90649,\n    E = +1.97294,\n    ED = E * D,\n    EB = E * B,\n    BC_DA = B * C - D * A;\n\nfunction cubehelixConvert(o) {\n  if (o instanceof Cubehelix) return new Cubehelix(o.h, o.s, o.l, o.opacity);\n  if (!(o instanceof Rgb)) o = rgbConvert(o);\n  var r = o.r / 255,\n      g = o.g / 255,\n      b = o.b / 255,\n      l = (BC_DA * b + ED * r - EB * g) / (BC_DA + ED - EB),\n      bl = b - l,\n      k = (E * (g - l) - C * bl) / D,\n      s = Math.sqrt(k * k + bl * bl) / (E * l * (1 - l)), // NaN if l=0 or l=1\n      h = s ? Math.atan2(k, bl) * rad2deg - 120 : NaN;\n  return new Cubehelix(h < 0 ? h + 360 : h, s, l, o.opacity);\n}\n\nfunction cubehelix(h, s, l, opacity) {\n  return arguments.length === 1 ? cubehelixConvert(h) : new Cubehelix(h, s, l, opacity == null ? 1 : opacity);\n}\n\nfunction Cubehelix(h, s, l, opacity) {\n  this.h = +h;\n  this.s = +s;\n  this.l = +l;\n  this.opacity = +opacity;\n}\n\ndefine(Cubehelix, cubehelix, extend(Color, {\n  brighter: function(k) {\n    k = k == null ? brighter : Math.pow(brighter, k);\n    return new Cubehelix(this.h, this.s, this.l * k, this.opacity);\n  },\n  darker: function(k) {\n    k = k == null ? darker : Math.pow(darker, k);\n    return new Cubehelix(this.h, this.s, this.l * k, this.opacity);\n  },\n  rgb: function() {\n    var h = isNaN(this.h) ? 0 : (this.h + 120) * deg2rad,\n        l = +this.l,\n        a = isNaN(this.s) ? 0 : this.s * l * (1 - l),\n        cosh = Math.cos(h),\n        sinh = Math.sin(h);\n    return new Rgb(\n      255 * (l + a * (A * cosh + B * sinh)),\n      255 * (l + a * (C * cosh + D * sinh)),\n      255 * (l + a * (E * cosh)),\n      this.opacity\n    );\n  }\n}));\n\nexports.color = color;\nexports.rgb = rgb;\nexports.hsl = hsl;\nexports.lab = lab;\nexports.hcl = hcl;\nexports.lch = lch;\nexports.gray = gray;\nexports.cubehelix = cubehelix;\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n})));\n\n},{}],143:[function(_dereq_,module,exports){\n// https://d3js.org/d3-dispatch/ Version 1.0.3. Copyright 2017 Mike Bostock.\n(function (global, factory) {\n\ttypeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :\n\ttypeof define === 'function' && define.amd ? define(['exports'], factory) :\n\t(factory((global.d3 = global.d3 || {})));\n}(this, (function (exports) { 'use strict';\n\nvar noop = {value: function() {}};\n\nfunction dispatch() {\n  for (var i = 0, n = arguments.length, _ = {}, t; i < n; ++i) {\n    if (!(t = arguments[i] + \"\") || (t in _)) throw new Error(\"illegal type: \" + t);\n    _[t] = [];\n  }\n  return new Dispatch(_);\n}\n\nfunction Dispatch(_) {\n  this._ = _;\n}\n\nfunction parseTypenames(typenames, types) {\n  return typenames.trim().split(/^|\\s+/).map(function(t) {\n    var name = \"\", i = t.indexOf(\".\");\n    if (i >= 0) name = t.slice(i + 1), t = t.slice(0, i);\n    if (t && !types.hasOwnProperty(t)) throw new Error(\"unknown type: \" + t);\n    return {type: t, name: name};\n  });\n}\n\nDispatch.prototype = dispatch.prototype = {\n  constructor: Dispatch,\n  on: function(typename, callback) {\n    var _ = this._,\n        T = parseTypenames(typename + \"\", _),\n        t,\n        i = -1,\n        n = T.length;\n\n    // If no callback was specified, return the callback of the given type and name.\n    if (arguments.length < 2) {\n      while (++i < n) if ((t = (typename = T[i]).type) && (t = get(_[t], typename.name))) return t;\n      return;\n    }\n\n    // If a type was specified, set the callback for the given type and name.\n    // Otherwise, if a null callback was specified, remove callbacks of the given name.\n    if (callback != null && typeof callback !== \"function\") throw new Error(\"invalid callback: \" + callback);\n    while (++i < n) {\n      if (t = (typename = T[i]).type) _[t] = set(_[t], typename.name, callback);\n      else if (callback == null) for (t in _) _[t] = set(_[t], typename.name, null);\n    }\n\n    return this;\n  },\n  copy: function() {\n    var copy = {}, _ = this._;\n    for (var t in _) copy[t] = _[t].slice();\n    return new Dispatch(copy);\n  },\n  call: function(type, that) {\n    if ((n = arguments.length - 2) > 0) for (var args = new Array(n), i = 0, n, t; i < n; ++i) args[i] = arguments[i + 2];\n    if (!this._.hasOwnProperty(type)) throw new Error(\"unknown type: \" + type);\n    for (t = this._[type], i = 0, n = t.length; i < n; ++i) t[i].value.apply(that, args);\n  },\n  apply: function(type, that, args) {\n    if (!this._.hasOwnProperty(type)) throw new Error(\"unknown type: \" + type);\n    for (var t = this._[type], i = 0, n = t.length; i < n; ++i) t[i].value.apply(that, args);\n  }\n};\n\nfunction get(type, name) {\n  for (var i = 0, n = type.length, c; i < n; ++i) {\n    if ((c = type[i]).name === name) {\n      return c.value;\n    }\n  }\n}\n\nfunction set(type, name, callback) {\n  for (var i = 0, n = type.length; i < n; ++i) {\n    if (type[i].name === name) {\n      type[i] = noop, type = type.slice(0, i).concat(type.slice(i + 1));\n      break;\n    }\n  }\n  if (callback != null) type.push({name: name, value: callback});\n  return type;\n}\n\nexports.dispatch = dispatch;\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n})));\n\n},{}],144:[function(_dereq_,module,exports){\n// https://d3js.org/d3-force/ Version 1.1.0. Copyright 2017 Mike Bostock.\n(function (global, factory) {\n\ttypeof exports === 'object' && typeof module !== 'undefined' ? factory(exports, _dereq_('d3-quadtree'), _dereq_('d3-collection'), _dereq_('d3-dispatch'), _dereq_('d3-timer')) :\n\ttypeof define === 'function' && define.amd ? define(['exports', 'd3-quadtree', 'd3-collection', 'd3-dispatch', 'd3-timer'], factory) :\n\t(factory((global.d3 = global.d3 || {}),global.d3,global.d3,global.d3,global.d3));\n}(this, (function (exports,d3Quadtree,d3Collection,d3Dispatch,d3Timer) { 'use strict';\n\nvar center = function(x, y) {\n  var nodes;\n\n  if (x == null) x = 0;\n  if (y == null) y = 0;\n\n  function force() {\n    var i,\n        n = nodes.length,\n        node,\n        sx = 0,\n        sy = 0;\n\n    for (i = 0; i < n; ++i) {\n      node = nodes[i], sx += node.x, sy += node.y;\n    }\n\n    for (sx = sx / n - x, sy = sy / n - y, i = 0; i < n; ++i) {\n      node = nodes[i], node.x -= sx, node.y -= sy;\n    }\n  }\n\n  force.initialize = function(_) {\n    nodes = _;\n  };\n\n  force.x = function(_) {\n    return arguments.length ? (x = +_, force) : x;\n  };\n\n  force.y = function(_) {\n    return arguments.length ? (y = +_, force) : y;\n  };\n\n  return force;\n};\n\nvar constant = function(x) {\n  return function() {\n    return x;\n  };\n};\n\nvar jiggle = function() {\n  return (Math.random() - 0.5) * 1e-6;\n};\n\nfunction x(d) {\n  return d.x + d.vx;\n}\n\nfunction y(d) {\n  return d.y + d.vy;\n}\n\nvar collide = function(radius) {\n  var nodes,\n      radii,\n      strength = 1,\n      iterations = 1;\n\n  if (typeof radius !== \"function\") radius = constant(radius == null ? 1 : +radius);\n\n  function force() {\n    var i, n = nodes.length,\n        tree,\n        node,\n        xi,\n        yi,\n        ri,\n        ri2;\n\n    for (var k = 0; k < iterations; ++k) {\n      tree = d3Quadtree.quadtree(nodes, x, y).visitAfter(prepare);\n      for (i = 0; i < n; ++i) {\n        node = nodes[i];\n        ri = radii[node.index], ri2 = ri * ri;\n        xi = node.x + node.vx;\n        yi = node.y + node.vy;\n        tree.visit(apply);\n      }\n    }\n\n    function apply(quad, x0, y0, x1, y1) {\n      var data = quad.data, rj = quad.r, r = ri + rj;\n      if (data) {\n        if (data.index > node.index) {\n          var x = xi - data.x - data.vx,\n              y = yi - data.y - data.vy,\n              l = x * x + y * y;\n          if (l < r * r) {\n            if (x === 0) x = jiggle(), l += x * x;\n            if (y === 0) y = jiggle(), l += y * y;\n            l = (r - (l = Math.sqrt(l))) / l * strength;\n            node.vx += (x *= l) * (r = (rj *= rj) / (ri2 + rj));\n            node.vy += (y *= l) * r;\n            data.vx -= x * (r = 1 - r);\n            data.vy -= y * r;\n          }\n        }\n        return;\n      }\n      return x0 > xi + r || x1 < xi - r || y0 > yi + r || y1 < yi - r;\n    }\n  }\n\n  function prepare(quad) {\n    if (quad.data) return quad.r = radii[quad.data.index];\n    for (var i = quad.r = 0; i < 4; ++i) {\n      if (quad[i] && quad[i].r > quad.r) {\n        quad.r = quad[i].r;\n      }\n    }\n  }\n\n  function initialize() {\n    if (!nodes) return;\n    var i, n = nodes.length, node;\n    radii = new Array(n);\n    for (i = 0; i < n; ++i) node = nodes[i], radii[node.index] = +radius(node, i, nodes);\n  }\n\n  force.initialize = function(_) {\n    nodes = _;\n    initialize();\n  };\n\n  force.iterations = function(_) {\n    return arguments.length ? (iterations = +_, force) : iterations;\n  };\n\n  force.strength = function(_) {\n    return arguments.length ? (strength = +_, force) : strength;\n  };\n\n  force.radius = function(_) {\n    return arguments.length ? (radius = typeof _ === \"function\" ? _ : constant(+_), initialize(), force) : radius;\n  };\n\n  return force;\n};\n\nfunction index(d) {\n  return d.index;\n}\n\nfunction find(nodeById, nodeId) {\n  var node = nodeById.get(nodeId);\n  if (!node) throw new Error(\"missing: \" + nodeId);\n  return node;\n}\n\nvar link = function(links) {\n  var id = index,\n      strength = defaultStrength,\n      strengths,\n      distance = constant(30),\n      distances,\n      nodes,\n      count,\n      bias,\n      iterations = 1;\n\n  if (links == null) links = [];\n\n  function defaultStrength(link) {\n    return 1 / Math.min(count[link.source.index], count[link.target.index]);\n  }\n\n  function force(alpha) {\n    for (var k = 0, n = links.length; k < iterations; ++k) {\n      for (var i = 0, link, source, target, x, y, l, b; i < n; ++i) {\n        link = links[i], source = link.source, target = link.target;\n        x = target.x + target.vx - source.x - source.vx || jiggle();\n        y = target.y + target.vy - source.y - source.vy || jiggle();\n        l = Math.sqrt(x * x + y * y);\n        l = (l - distances[i]) / l * alpha * strengths[i];\n        x *= l, y *= l;\n        target.vx -= x * (b = bias[i]);\n        target.vy -= y * b;\n        source.vx += x * (b = 1 - b);\n        source.vy += y * b;\n      }\n    }\n  }\n\n  function initialize() {\n    if (!nodes) return;\n\n    var i,\n        n = nodes.length,\n        m = links.length,\n        nodeById = d3Collection.map(nodes, id),\n        link;\n\n    for (i = 0, count = new Array(n); i < m; ++i) {\n      link = links[i], link.index = i;\n      if (typeof link.source !== \"object\") link.source = find(nodeById, link.source);\n      if (typeof link.target !== \"object\") link.target = find(nodeById, link.target);\n      count[link.source.index] = (count[link.source.index] || 0) + 1;\n      count[link.target.index] = (count[link.target.index] || 0) + 1;\n    }\n\n    for (i = 0, bias = new Array(m); i < m; ++i) {\n      link = links[i], bias[i] = count[link.source.index] / (count[link.source.index] + count[link.target.index]);\n    }\n\n    strengths = new Array(m), initializeStrength();\n    distances = new Array(m), initializeDistance();\n  }\n\n  function initializeStrength() {\n    if (!nodes) return;\n\n    for (var i = 0, n = links.length; i < n; ++i) {\n      strengths[i] = +strength(links[i], i, links);\n    }\n  }\n\n  function initializeDistance() {\n    if (!nodes) return;\n\n    for (var i = 0, n = links.length; i < n; ++i) {\n      distances[i] = +distance(links[i], i, links);\n    }\n  }\n\n  force.initialize = function(_) {\n    nodes = _;\n    initialize();\n  };\n\n  force.links = function(_) {\n    return arguments.length ? (links = _, initialize(), force) : links;\n  };\n\n  force.id = function(_) {\n    return arguments.length ? (id = _, force) : id;\n  };\n\n  force.iterations = function(_) {\n    return arguments.length ? (iterations = +_, force) : iterations;\n  };\n\n  force.strength = function(_) {\n    return arguments.length ? (strength = typeof _ === \"function\" ? _ : constant(+_), initializeStrength(), force) : strength;\n  };\n\n  force.distance = function(_) {\n    return arguments.length ? (distance = typeof _ === \"function\" ? _ : constant(+_), initializeDistance(), force) : distance;\n  };\n\n  return force;\n};\n\nfunction x$1(d) {\n  return d.x;\n}\n\nfunction y$1(d) {\n  return d.y;\n}\n\nvar initialRadius = 10;\nvar initialAngle = Math.PI * (3 - Math.sqrt(5));\n\nvar simulation = function(nodes) {\n  var simulation,\n      alpha = 1,\n      alphaMin = 0.001,\n      alphaDecay = 1 - Math.pow(alphaMin, 1 / 300),\n      alphaTarget = 0,\n      velocityDecay = 0.6,\n      forces = d3Collection.map(),\n      stepper = d3Timer.timer(step),\n      event = d3Dispatch.dispatch(\"tick\", \"end\");\n\n  if (nodes == null) nodes = [];\n\n  function step() {\n    tick();\n    event.call(\"tick\", simulation);\n    if (alpha < alphaMin) {\n      stepper.stop();\n      event.call(\"end\", simulation);\n    }\n  }\n\n  function tick() {\n    var i, n = nodes.length, node;\n\n    alpha += (alphaTarget - alpha) * alphaDecay;\n\n    forces.each(function(force) {\n      force(alpha);\n    });\n\n    for (i = 0; i < n; ++i) {\n      node = nodes[i];\n      if (node.fx == null) node.x += node.vx *= velocityDecay;\n      else node.x = node.fx, node.vx = 0;\n      if (node.fy == null) node.y += node.vy *= velocityDecay;\n      else node.y = node.fy, node.vy = 0;\n    }\n  }\n\n  function initializeNodes() {\n    for (var i = 0, n = nodes.length, node; i < n; ++i) {\n      node = nodes[i], node.index = i;\n      if (isNaN(node.x) || isNaN(node.y)) {\n        var radius = initialRadius * Math.sqrt(i), angle = i * initialAngle;\n        node.x = radius * Math.cos(angle);\n        node.y = radius * Math.sin(angle);\n      }\n      if (isNaN(node.vx) || isNaN(node.vy)) {\n        node.vx = node.vy = 0;\n      }\n    }\n  }\n\n  function initializeForce(force) {\n    if (force.initialize) force.initialize(nodes);\n    return force;\n  }\n\n  initializeNodes();\n\n  return simulation = {\n    tick: tick,\n\n    restart: function() {\n      return stepper.restart(step), simulation;\n    },\n\n    stop: function() {\n      return stepper.stop(), simulation;\n    },\n\n    nodes: function(_) {\n      return arguments.length ? (nodes = _, initializeNodes(), forces.each(initializeForce), simulation) : nodes;\n    },\n\n    alpha: function(_) {\n      return arguments.length ? (alpha = +_, simulation) : alpha;\n    },\n\n    alphaMin: function(_) {\n      return arguments.length ? (alphaMin = +_, simulation) : alphaMin;\n    },\n\n    alphaDecay: function(_) {\n      return arguments.length ? (alphaDecay = +_, simulation) : +alphaDecay;\n    },\n\n    alphaTarget: function(_) {\n      return arguments.length ? (alphaTarget = +_, simulation) : alphaTarget;\n    },\n\n    velocityDecay: function(_) {\n      return arguments.length ? (velocityDecay = 1 - _, simulation) : 1 - velocityDecay;\n    },\n\n    force: function(name, _) {\n      return arguments.length > 1 ? ((_ == null ? forces.remove(name) : forces.set(name, initializeForce(_))), simulation) : forces.get(name);\n    },\n\n    find: function(x, y, radius) {\n      var i = 0,\n          n = nodes.length,\n          dx,\n          dy,\n          d2,\n          node,\n          closest;\n\n      if (radius == null) radius = Infinity;\n      else radius *= radius;\n\n      for (i = 0; i < n; ++i) {\n        node = nodes[i];\n        dx = x - node.x;\n        dy = y - node.y;\n        d2 = dx * dx + dy * dy;\n        if (d2 < radius) closest = node, radius = d2;\n      }\n\n      return closest;\n    },\n\n    on: function(name, _) {\n      return arguments.length > 1 ? (event.on(name, _), simulation) : event.on(name);\n    }\n  };\n};\n\nvar manyBody = function() {\n  var nodes,\n      node,\n      alpha,\n      strength = constant(-30),\n      strengths,\n      distanceMin2 = 1,\n      distanceMax2 = Infinity,\n      theta2 = 0.81;\n\n  function force(_) {\n    var i, n = nodes.length, tree = d3Quadtree.quadtree(nodes, x$1, y$1).visitAfter(accumulate);\n    for (alpha = _, i = 0; i < n; ++i) node = nodes[i], tree.visit(apply);\n  }\n\n  function initialize() {\n    if (!nodes) return;\n    var i, n = nodes.length, node;\n    strengths = new Array(n);\n    for (i = 0; i < n; ++i) node = nodes[i], strengths[node.index] = +strength(node, i, nodes);\n  }\n\n  function accumulate(quad) {\n    var strength = 0, q, c, weight = 0, x, y, i;\n\n    // For internal nodes, accumulate forces from child quadrants.\n    if (quad.length) {\n      for (x = y = i = 0; i < 4; ++i) {\n        if ((q = quad[i]) && (c = Math.abs(q.value))) {\n          strength += q.value, weight += c, x += c * q.x, y += c * q.y;\n        }\n      }\n      quad.x = x / weight;\n      quad.y = y / weight;\n    }\n\n    // For leaf nodes, accumulate forces from coincident quadrants.\n    else {\n      q = quad;\n      q.x = q.data.x;\n      q.y = q.data.y;\n      do strength += strengths[q.data.index];\n      while (q = q.next);\n    }\n\n    quad.value = strength;\n  }\n\n  function apply(quad, x1, _, x2) {\n    if (!quad.value) return true;\n\n    var x = quad.x - node.x,\n        y = quad.y - node.y,\n        w = x2 - x1,\n        l = x * x + y * y;\n\n    // Apply the Barnes-Hut approximation if possible.\n    // Limit forces for very close nodes; randomize direction if coincident.\n    if (w * w / theta2 < l) {\n      if (l < distanceMax2) {\n        if (x === 0) x = jiggle(), l += x * x;\n        if (y === 0) y = jiggle(), l += y * y;\n        if (l < distanceMin2) l = Math.sqrt(distanceMin2 * l);\n        node.vx += x * quad.value * alpha / l;\n        node.vy += y * quad.value * alpha / l;\n      }\n      return true;\n    }\n\n    // Otherwise, process points directly.\n    else if (quad.length || l >= distanceMax2) return;\n\n    // Limit forces for very close nodes; randomize direction if coincident.\n    if (quad.data !== node || quad.next) {\n      if (x === 0) x = jiggle(), l += x * x;\n      if (y === 0) y = jiggle(), l += y * y;\n      if (l < distanceMin2) l = Math.sqrt(distanceMin2 * l);\n    }\n\n    do if (quad.data !== node) {\n      w = strengths[quad.data.index] * alpha / l;\n      node.vx += x * w;\n      node.vy += y * w;\n    } while (quad = quad.next);\n  }\n\n  force.initialize = function(_) {\n    nodes = _;\n    initialize();\n  };\n\n  force.strength = function(_) {\n    return arguments.length ? (strength = typeof _ === \"function\" ? _ : constant(+_), initialize(), force) : strength;\n  };\n\n  force.distanceMin = function(_) {\n    return arguments.length ? (distanceMin2 = _ * _, force) : Math.sqrt(distanceMin2);\n  };\n\n  force.distanceMax = function(_) {\n    return arguments.length ? (distanceMax2 = _ * _, force) : Math.sqrt(distanceMax2);\n  };\n\n  force.theta = function(_) {\n    return arguments.length ? (theta2 = _ * _, force) : Math.sqrt(theta2);\n  };\n\n  return force;\n};\n\nvar radial = function(radius, x, y) {\n  var nodes,\n      strength = constant(0.1),\n      strengths,\n      radiuses;\n\n  if (typeof radius !== \"function\") radius = constant(+radius);\n  if (x == null) x = 0;\n  if (y == null) y = 0;\n\n  function force(alpha) {\n    for (var i = 0, n = nodes.length; i < n; ++i) {\n      var node = nodes[i],\n          dx = node.x - x || 1e-6,\n          dy = node.y - y || 1e-6,\n          r = Math.sqrt(dx * dx + dy * dy),\n          k = (radiuses[i] - r) * strengths[i] * alpha / r;\n      node.vx += dx * k;\n      node.vy += dy * k;\n    }\n  }\n\n  function initialize() {\n    if (!nodes) return;\n    var i, n = nodes.length;\n    strengths = new Array(n);\n    radiuses = new Array(n);\n    for (i = 0; i < n; ++i) {\n      radiuses[i] = +radius(nodes[i], i, nodes);\n      strengths[i] = isNaN(radiuses[i]) ? 0 : +strength(nodes[i], i, nodes);\n    }\n  }\n\n  force.initialize = function(_) {\n    nodes = _, initialize();\n  };\n\n  force.strength = function(_) {\n    return arguments.length ? (strength = typeof _ === \"function\" ? _ : constant(+_), initialize(), force) : strength;\n  };\n\n  force.radius = function(_) {\n    return arguments.length ? (radius = typeof _ === \"function\" ? _ : constant(+_), initialize(), force) : radius;\n  };\n\n  force.x = function(_) {\n    return arguments.length ? (x = +_, force) : x;\n  };\n\n  force.y = function(_) {\n    return arguments.length ? (y = +_, force) : y;\n  };\n\n  return force;\n};\n\nvar x$2 = function(x) {\n  var strength = constant(0.1),\n      nodes,\n      strengths,\n      xz;\n\n  if (typeof x !== \"function\") x = constant(x == null ? 0 : +x);\n\n  function force(alpha) {\n    for (var i = 0, n = nodes.length, node; i < n; ++i) {\n      node = nodes[i], node.vx += (xz[i] - node.x) * strengths[i] * alpha;\n    }\n  }\n\n  function initialize() {\n    if (!nodes) return;\n    var i, n = nodes.length;\n    strengths = new Array(n);\n    xz = new Array(n);\n    for (i = 0; i < n; ++i) {\n      strengths[i] = isNaN(xz[i] = +x(nodes[i], i, nodes)) ? 0 : +strength(nodes[i], i, nodes);\n    }\n  }\n\n  force.initialize = function(_) {\n    nodes = _;\n    initialize();\n  };\n\n  force.strength = function(_) {\n    return arguments.length ? (strength = typeof _ === \"function\" ? _ : constant(+_), initialize(), force) : strength;\n  };\n\n  force.x = function(_) {\n    return arguments.length ? (x = typeof _ === \"function\" ? _ : constant(+_), initialize(), force) : x;\n  };\n\n  return force;\n};\n\nvar y$2 = function(y) {\n  var strength = constant(0.1),\n      nodes,\n      strengths,\n      yz;\n\n  if (typeof y !== \"function\") y = constant(y == null ? 0 : +y);\n\n  function force(alpha) {\n    for (var i = 0, n = nodes.length, node; i < n; ++i) {\n      node = nodes[i], node.vy += (yz[i] - node.y) * strengths[i] * alpha;\n    }\n  }\n\n  function initialize() {\n    if (!nodes) return;\n    var i, n = nodes.length;\n    strengths = new Array(n);\n    yz = new Array(n);\n    for (i = 0; i < n; ++i) {\n      strengths[i] = isNaN(yz[i] = +y(nodes[i], i, nodes)) ? 0 : +strength(nodes[i], i, nodes);\n    }\n  }\n\n  force.initialize = function(_) {\n    nodes = _;\n    initialize();\n  };\n\n  force.strength = function(_) {\n    return arguments.length ? (strength = typeof _ === \"function\" ? _ : constant(+_), initialize(), force) : strength;\n  };\n\n  force.y = function(_) {\n    return arguments.length ? (y = typeof _ === \"function\" ? _ : constant(+_), initialize(), force) : y;\n  };\n\n  return force;\n};\n\nexports.forceCenter = center;\nexports.forceCollide = collide;\nexports.forceLink = link;\nexports.forceManyBody = manyBody;\nexports.forceRadial = radial;\nexports.forceSimulation = simulation;\nexports.forceX = x$2;\nexports.forceY = y$2;\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n})));\n\n},{\"d3-collection\":141,\"d3-dispatch\":143,\"d3-quadtree\":146,\"d3-timer\":147}],145:[function(_dereq_,module,exports){\n// https://d3js.org/d3-interpolate/ v1.3.2 Copyright 2018 Mike Bostock\n(function (global, factory) {\ntypeof exports === 'object' && typeof module !== 'undefined' ? factory(exports, _dereq_('d3-color')) :\ntypeof define === 'function' && define.amd ? define(['exports', 'd3-color'], factory) :\n(factory((global.d3 = global.d3 || {}),global.d3));\n}(this, (function (exports,d3Color) { 'use strict';\n\nfunction basis(t1, v0, v1, v2, v3) {\n  var t2 = t1 * t1, t3 = t2 * t1;\n  return ((1 - 3 * t1 + 3 * t2 - t3) * v0\n      + (4 - 6 * t2 + 3 * t3) * v1\n      + (1 + 3 * t1 + 3 * t2 - 3 * t3) * v2\n      + t3 * v3) / 6;\n}\n\nfunction basis$1(values) {\n  var n = values.length - 1;\n  return function(t) {\n    var i = t <= 0 ? (t = 0) : t >= 1 ? (t = 1, n - 1) : Math.floor(t * n),\n        v1 = values[i],\n        v2 = values[i + 1],\n        v0 = i > 0 ? values[i - 1] : 2 * v1 - v2,\n        v3 = i < n - 1 ? values[i + 2] : 2 * v2 - v1;\n    return basis((t - i / n) * n, v0, v1, v2, v3);\n  };\n}\n\nfunction basisClosed(values) {\n  var n = values.length;\n  return function(t) {\n    var i = Math.floor(((t %= 1) < 0 ? ++t : t) * n),\n        v0 = values[(i + n - 1) % n],\n        v1 = values[i % n],\n        v2 = values[(i + 1) % n],\n        v3 = values[(i + 2) % n];\n    return basis((t - i / n) * n, v0, v1, v2, v3);\n  };\n}\n\nfunction constant(x) {\n  return function() {\n    return x;\n  };\n}\n\nfunction linear(a, d) {\n  return function(t) {\n    return a + t * d;\n  };\n}\n\nfunction exponential(a, b, y) {\n  return a = Math.pow(a, y), b = Math.pow(b, y) - a, y = 1 / y, function(t) {\n    return Math.pow(a + t * b, y);\n  };\n}\n\nfunction hue(a, b) {\n  var d = b - a;\n  return d ? linear(a, d > 180 || d < -180 ? d - 360 * Math.round(d / 360) : d) : constant(isNaN(a) ? b : a);\n}\n\nfunction gamma(y) {\n  return (y = +y) === 1 ? nogamma : function(a, b) {\n    return b - a ? exponential(a, b, y) : constant(isNaN(a) ? b : a);\n  };\n}\n\nfunction nogamma(a, b) {\n  var d = b - a;\n  return d ? linear(a, d) : constant(isNaN(a) ? b : a);\n}\n\nvar rgb = (function rgbGamma(y) {\n  var color = gamma(y);\n\n  function rgb(start, end) {\n    var r = color((start = d3Color.rgb(start)).r, (end = d3Color.rgb(end)).r),\n        g = color(start.g, end.g),\n        b = color(start.b, end.b),\n        opacity = nogamma(start.opacity, end.opacity);\n    return function(t) {\n      start.r = r(t);\n      start.g = g(t);\n      start.b = b(t);\n      start.opacity = opacity(t);\n      return start + \"\";\n    };\n  }\n\n  rgb.gamma = rgbGamma;\n\n  return rgb;\n})(1);\n\nfunction rgbSpline(spline) {\n  return function(colors) {\n    var n = colors.length,\n        r = new Array(n),\n        g = new Array(n),\n        b = new Array(n),\n        i, color;\n    for (i = 0; i < n; ++i) {\n      color = d3Color.rgb(colors[i]);\n      r[i] = color.r || 0;\n      g[i] = color.g || 0;\n      b[i] = color.b || 0;\n    }\n    r = spline(r);\n    g = spline(g);\n    b = spline(b);\n    color.opacity = 1;\n    return function(t) {\n      color.r = r(t);\n      color.g = g(t);\n      color.b = b(t);\n      return color + \"\";\n    };\n  };\n}\n\nvar rgbBasis = rgbSpline(basis$1);\nvar rgbBasisClosed = rgbSpline(basisClosed);\n\nfunction array(a, b) {\n  var nb = b ? b.length : 0,\n      na = a ? Math.min(nb, a.length) : 0,\n      x = new Array(na),\n      c = new Array(nb),\n      i;\n\n  for (i = 0; i < na; ++i) x[i] = value(a[i], b[i]);\n  for (; i < nb; ++i) c[i] = b[i];\n\n  return function(t) {\n    for (i = 0; i < na; ++i) c[i] = x[i](t);\n    return c;\n  };\n}\n\nfunction date(a, b) {\n  var d = new Date;\n  return a = +a, b -= a, function(t) {\n    return d.setTime(a + b * t), d;\n  };\n}\n\nfunction number(a, b) {\n  return a = +a, b -= a, function(t) {\n    return a + b * t;\n  };\n}\n\nfunction object(a, b) {\n  var i = {},\n      c = {},\n      k;\n\n  if (a === null || typeof a !== \"object\") a = {};\n  if (b === null || typeof b !== \"object\") b = {};\n\n  for (k in b) {\n    if (k in a) {\n      i[k] = value(a[k], b[k]);\n    } else {\n      c[k] = b[k];\n    }\n  }\n\n  return function(t) {\n    for (k in i) c[k] = i[k](t);\n    return c;\n  };\n}\n\nvar reA = /[-+]?(?:\\d+\\.?\\d*|\\.?\\d+)(?:[eE][-+]?\\d+)?/g,\n    reB = new RegExp(reA.source, \"g\");\n\nfunction zero(b) {\n  return function() {\n    return b;\n  };\n}\n\nfunction one(b) {\n  return function(t) {\n    return b(t) + \"\";\n  };\n}\n\nfunction string(a, b) {\n  var bi = reA.lastIndex = reB.lastIndex = 0, // scan index for next number in b\n      am, // current match in a\n      bm, // current match in b\n      bs, // string preceding current number in b, if any\n      i = -1, // index in s\n      s = [], // string constants and placeholders\n      q = []; // number interpolators\n\n  // Coerce inputs to strings.\n  a = a + \"\", b = b + \"\";\n\n  // Interpolate pairs of numbers in a & b.\n  while ((am = reA.exec(a))\n      && (bm = reB.exec(b))) {\n    if ((bs = bm.index) > bi) { // a string precedes the next number in b\n      bs = b.slice(bi, bs);\n      if (s[i]) s[i] += bs; // coalesce with previous string\n      else s[++i] = bs;\n    }\n    if ((am = am[0]) === (bm = bm[0])) { // numbers in a & b match\n      if (s[i]) s[i] += bm; // coalesce with previous string\n      else s[++i] = bm;\n    } else { // interpolate non-matching numbers\n      s[++i] = null;\n      q.push({i: i, x: number(am, bm)});\n    }\n    bi = reB.lastIndex;\n  }\n\n  // Add remains of b.\n  if (bi < b.length) {\n    bs = b.slice(bi);\n    if (s[i]) s[i] += bs; // coalesce with previous string\n    else s[++i] = bs;\n  }\n\n  // Special optimization for only a single match.\n  // Otherwise, interpolate each of the numbers and rejoin the string.\n  return s.length < 2 ? (q[0]\n      ? one(q[0].x)\n      : zero(b))\n      : (b = q.length, function(t) {\n          for (var i = 0, o; i < b; ++i) s[(o = q[i]).i] = o.x(t);\n          return s.join(\"\");\n        });\n}\n\nfunction value(a, b) {\n  var t = typeof b, c;\n  return b == null || t === \"boolean\" ? constant(b)\n      : (t === \"number\" ? number\n      : t === \"string\" ? ((c = d3Color.color(b)) ? (b = c, rgb) : string)\n      : b instanceof d3Color.color ? rgb\n      : b instanceof Date ? date\n      : Array.isArray(b) ? array\n      : typeof b.valueOf !== \"function\" && typeof b.toString !== \"function\" || isNaN(b) ? object\n      : number)(a, b);\n}\n\nfunction discrete(range) {\n  var n = range.length;\n  return function(t) {\n    return range[Math.max(0, Math.min(n - 1, Math.floor(t * n)))];\n  };\n}\n\nfunction hue$1(a, b) {\n  var i = hue(+a, +b);\n  return function(t) {\n    var x = i(t);\n    return x - 360 * Math.floor(x / 360);\n  };\n}\n\nfunction round(a, b) {\n  return a = +a, b -= a, function(t) {\n    return Math.round(a + b * t);\n  };\n}\n\nvar degrees = 180 / Math.PI;\n\nvar identity = {\n  translateX: 0,\n  translateY: 0,\n  rotate: 0,\n  skewX: 0,\n  scaleX: 1,\n  scaleY: 1\n};\n\nfunction decompose(a, b, c, d, e, f) {\n  var scaleX, scaleY, skewX;\n  if (scaleX = Math.sqrt(a * a + b * b)) a /= scaleX, b /= scaleX;\n  if (skewX = a * c + b * d) c -= a * skewX, d -= b * skewX;\n  if (scaleY = Math.sqrt(c * c + d * d)) c /= scaleY, d /= scaleY, skewX /= scaleY;\n  if (a * d < b * c) a = -a, b = -b, skewX = -skewX, scaleX = -scaleX;\n  return {\n    translateX: e,\n    translateY: f,\n    rotate: Math.atan2(b, a) * degrees,\n    skewX: Math.atan(skewX) * degrees,\n    scaleX: scaleX,\n    scaleY: scaleY\n  };\n}\n\nvar cssNode,\n    cssRoot,\n    cssView,\n    svgNode;\n\nfunction parseCss(value) {\n  if (value === \"none\") return identity;\n  if (!cssNode) cssNode = document.createElement(\"DIV\"), cssRoot = document.documentElement, cssView = document.defaultView;\n  cssNode.style.transform = value;\n  value = cssView.getComputedStyle(cssRoot.appendChild(cssNode), null).getPropertyValue(\"transform\");\n  cssRoot.removeChild(cssNode);\n  value = value.slice(7, -1).split(\",\");\n  return decompose(+value[0], +value[1], +value[2], +value[3], +value[4], +value[5]);\n}\n\nfunction parseSvg(value) {\n  if (value == null) return identity;\n  if (!svgNode) svgNode = document.createElementNS(\"http://www.w3.org/2000/svg\", \"g\");\n  svgNode.setAttribute(\"transform\", value);\n  if (!(value = svgNode.transform.baseVal.consolidate())) return identity;\n  value = value.matrix;\n  return decompose(value.a, value.b, value.c, value.d, value.e, value.f);\n}\n\nfunction interpolateTransform(parse, pxComma, pxParen, degParen) {\n\n  function pop(s) {\n    return s.length ? s.pop() + \" \" : \"\";\n  }\n\n  function translate(xa, ya, xb, yb, s, q) {\n    if (xa !== xb || ya !== yb) {\n      var i = s.push(\"translate(\", null, pxComma, null, pxParen);\n      q.push({i: i - 4, x: number(xa, xb)}, {i: i - 2, x: number(ya, yb)});\n    } else if (xb || yb) {\n      s.push(\"translate(\" + xb + pxComma + yb + pxParen);\n    }\n  }\n\n  function rotate(a, b, s, q) {\n    if (a !== b) {\n      if (a - b > 180) b += 360; else if (b - a > 180) a += 360; // shortest path\n      q.push({i: s.push(pop(s) + \"rotate(\", null, degParen) - 2, x: number(a, b)});\n    } else if (b) {\n      s.push(pop(s) + \"rotate(\" + b + degParen);\n    }\n  }\n\n  function skewX(a, b, s, q) {\n    if (a !== b) {\n      q.push({i: s.push(pop(s) + \"skewX(\", null, degParen) - 2, x: number(a, b)});\n    } else if (b) {\n      s.push(pop(s) + \"skewX(\" + b + degParen);\n    }\n  }\n\n  function scale(xa, ya, xb, yb, s, q) {\n    if (xa !== xb || ya !== yb) {\n      var i = s.push(pop(s) + \"scale(\", null, \",\", null, \")\");\n      q.push({i: i - 4, x: number(xa, xb)}, {i: i - 2, x: number(ya, yb)});\n    } else if (xb !== 1 || yb !== 1) {\n      s.push(pop(s) + \"scale(\" + xb + \",\" + yb + \")\");\n    }\n  }\n\n  return function(a, b) {\n    var s = [], // string constants and placeholders\n        q = []; // number interpolators\n    a = parse(a), b = parse(b);\n    translate(a.translateX, a.translateY, b.translateX, b.translateY, s, q);\n    rotate(a.rotate, b.rotate, s, q);\n    skewX(a.skewX, b.skewX, s, q);\n    scale(a.scaleX, a.scaleY, b.scaleX, b.scaleY, s, q);\n    a = b = null; // gc\n    return function(t) {\n      var i = -1, n = q.length, o;\n      while (++i < n) s[(o = q[i]).i] = o.x(t);\n      return s.join(\"\");\n    };\n  };\n}\n\nvar interpolateTransformCss = interpolateTransform(parseCss, \"px, \", \"px)\", \"deg)\");\nvar interpolateTransformSvg = interpolateTransform(parseSvg, \", \", \")\", \")\");\n\nvar rho = Math.SQRT2,\n    rho2 = 2,\n    rho4 = 4,\n    epsilon2 = 1e-12;\n\nfunction cosh(x) {\n  return ((x = Math.exp(x)) + 1 / x) / 2;\n}\n\nfunction sinh(x) {\n  return ((x = Math.exp(x)) - 1 / x) / 2;\n}\n\nfunction tanh(x) {\n  return ((x = Math.exp(2 * x)) - 1) / (x + 1);\n}\n\n// p0 = [ux0, uy0, w0]\n// p1 = [ux1, uy1, w1]\nfunction zoom(p0, p1) {\n  var ux0 = p0[0], uy0 = p0[1], w0 = p0[2],\n      ux1 = p1[0], uy1 = p1[1], w1 = p1[2],\n      dx = ux1 - ux0,\n      dy = uy1 - uy0,\n      d2 = dx * dx + dy * dy,\n      i,\n      S;\n\n  // Special case for u0 ≅ u1.\n  if (d2 < epsilon2) {\n    S = Math.log(w1 / w0) / rho;\n    i = function(t) {\n      return [\n        ux0 + t * dx,\n        uy0 + t * dy,\n        w0 * Math.exp(rho * t * S)\n      ];\n    };\n  }\n\n  // General case.\n  else {\n    var d1 = Math.sqrt(d2),\n        b0 = (w1 * w1 - w0 * w0 + rho4 * d2) / (2 * w0 * rho2 * d1),\n        b1 = (w1 * w1 - w0 * w0 - rho4 * d2) / (2 * w1 * rho2 * d1),\n        r0 = Math.log(Math.sqrt(b0 * b0 + 1) - b0),\n        r1 = Math.log(Math.sqrt(b1 * b1 + 1) - b1);\n    S = (r1 - r0) / rho;\n    i = function(t) {\n      var s = t * S,\n          coshr0 = cosh(r0),\n          u = w0 / (rho2 * d1) * (coshr0 * tanh(rho * s + r0) - sinh(r0));\n      return [\n        ux0 + u * dx,\n        uy0 + u * dy,\n        w0 * coshr0 / cosh(rho * s + r0)\n      ];\n    };\n  }\n\n  i.duration = S * 1000;\n\n  return i;\n}\n\nfunction hsl(hue$$1) {\n  return function(start, end) {\n    var h = hue$$1((start = d3Color.hsl(start)).h, (end = d3Color.hsl(end)).h),\n        s = nogamma(start.s, end.s),\n        l = nogamma(start.l, end.l),\n        opacity = nogamma(start.opacity, end.opacity);\n    return function(t) {\n      start.h = h(t);\n      start.s = s(t);\n      start.l = l(t);\n      start.opacity = opacity(t);\n      return start + \"\";\n    };\n  }\n}\n\nvar hsl$1 = hsl(hue);\nvar hslLong = hsl(nogamma);\n\nfunction lab(start, end) {\n  var l = nogamma((start = d3Color.lab(start)).l, (end = d3Color.lab(end)).l),\n      a = nogamma(start.a, end.a),\n      b = nogamma(start.b, end.b),\n      opacity = nogamma(start.opacity, end.opacity);\n  return function(t) {\n    start.l = l(t);\n    start.a = a(t);\n    start.b = b(t);\n    start.opacity = opacity(t);\n    return start + \"\";\n  };\n}\n\nfunction hcl(hue$$1) {\n  return function(start, end) {\n    var h = hue$$1((start = d3Color.hcl(start)).h, (end = d3Color.hcl(end)).h),\n        c = nogamma(start.c, end.c),\n        l = nogamma(start.l, end.l),\n        opacity = nogamma(start.opacity, end.opacity);\n    return function(t) {\n      start.h = h(t);\n      start.c = c(t);\n      start.l = l(t);\n      start.opacity = opacity(t);\n      return start + \"\";\n    };\n  }\n}\n\nvar hcl$1 = hcl(hue);\nvar hclLong = hcl(nogamma);\n\nfunction cubehelix(hue$$1) {\n  return (function cubehelixGamma(y) {\n    y = +y;\n\n    function cubehelix(start, end) {\n      var h = hue$$1((start = d3Color.cubehelix(start)).h, (end = d3Color.cubehelix(end)).h),\n          s = nogamma(start.s, end.s),\n          l = nogamma(start.l, end.l),\n          opacity = nogamma(start.opacity, end.opacity);\n      return function(t) {\n        start.h = h(t);\n        start.s = s(t);\n        start.l = l(Math.pow(t, y));\n        start.opacity = opacity(t);\n        return start + \"\";\n      };\n    }\n\n    cubehelix.gamma = cubehelixGamma;\n\n    return cubehelix;\n  })(1);\n}\n\nvar cubehelix$1 = cubehelix(hue);\nvar cubehelixLong = cubehelix(nogamma);\n\nfunction piecewise(interpolate, values) {\n  var i = 0, n = values.length - 1, v = values[0], I = new Array(n < 0 ? 0 : n);\n  while (i < n) I[i] = interpolate(v, v = values[++i]);\n  return function(t) {\n    var i = Math.max(0, Math.min(n - 1, Math.floor(t *= n)));\n    return I[i](t - i);\n  };\n}\n\nfunction quantize(interpolator, n) {\n  var samples = new Array(n);\n  for (var i = 0; i < n; ++i) samples[i] = interpolator(i / (n - 1));\n  return samples;\n}\n\nexports.interpolate = value;\nexports.interpolateArray = array;\nexports.interpolateBasis = basis$1;\nexports.interpolateBasisClosed = basisClosed;\nexports.interpolateDate = date;\nexports.interpolateDiscrete = discrete;\nexports.interpolateHue = hue$1;\nexports.interpolateNumber = number;\nexports.interpolateObject = object;\nexports.interpolateRound = round;\nexports.interpolateString = string;\nexports.interpolateTransformCss = interpolateTransformCss;\nexports.interpolateTransformSvg = interpolateTransformSvg;\nexports.interpolateZoom = zoom;\nexports.interpolateRgb = rgb;\nexports.interpolateRgbBasis = rgbBasis;\nexports.interpolateRgbBasisClosed = rgbBasisClosed;\nexports.interpolateHsl = hsl$1;\nexports.interpolateHslLong = hslLong;\nexports.interpolateLab = lab;\nexports.interpolateHcl = hcl$1;\nexports.interpolateHclLong = hclLong;\nexports.interpolateCubehelix = cubehelix$1;\nexports.interpolateCubehelixLong = cubehelixLong;\nexports.piecewise = piecewise;\nexports.quantize = quantize;\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n})));\n\n},{\"d3-color\":142}],146:[function(_dereq_,module,exports){\n// https://d3js.org/d3-quadtree/ Version 1.0.3. Copyright 2017 Mike Bostock.\n(function (global, factory) {\n\ttypeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :\n\ttypeof define === 'function' && define.amd ? define(['exports'], factory) :\n\t(factory((global.d3 = global.d3 || {})));\n}(this, (function (exports) { 'use strict';\n\nvar tree_add = function(d) {\n  var x = +this._x.call(null, d),\n      y = +this._y.call(null, d);\n  return add(this.cover(x, y), x, y, d);\n};\n\nfunction add(tree, x, y, d) {\n  if (isNaN(x) || isNaN(y)) return tree; // ignore invalid points\n\n  var parent,\n      node = tree._root,\n      leaf = {data: d},\n      x0 = tree._x0,\n      y0 = tree._y0,\n      x1 = tree._x1,\n      y1 = tree._y1,\n      xm,\n      ym,\n      xp,\n      yp,\n      right,\n      bottom,\n      i,\n      j;\n\n  // If the tree is empty, initialize the root as a leaf.\n  if (!node) return tree._root = leaf, tree;\n\n  // Find the existing leaf for the new point, or add it.\n  while (node.length) {\n    if (right = x >= (xm = (x0 + x1) / 2)) x0 = xm; else x1 = xm;\n    if (bottom = y >= (ym = (y0 + y1) / 2)) y0 = ym; else y1 = ym;\n    if (parent = node, !(node = node[i = bottom << 1 | right])) return parent[i] = leaf, tree;\n  }\n\n  // Is the new point is exactly coincident with the existing point?\n  xp = +tree._x.call(null, node.data);\n  yp = +tree._y.call(null, node.data);\n  if (x === xp && y === yp) return leaf.next = node, parent ? parent[i] = leaf : tree._root = leaf, tree;\n\n  // Otherwise, split the leaf node until the old and new point are separated.\n  do {\n    parent = parent ? parent[i] = new Array(4) : tree._root = new Array(4);\n    if (right = x >= (xm = (x0 + x1) / 2)) x0 = xm; else x1 = xm;\n    if (bottom = y >= (ym = (y0 + y1) / 2)) y0 = ym; else y1 = ym;\n  } while ((i = bottom << 1 | right) === (j = (yp >= ym) << 1 | (xp >= xm)));\n  return parent[j] = node, parent[i] = leaf, tree;\n}\n\nfunction addAll(data) {\n  var d, i, n = data.length,\n      x,\n      y,\n      xz = new Array(n),\n      yz = new Array(n),\n      x0 = Infinity,\n      y0 = Infinity,\n      x1 = -Infinity,\n      y1 = -Infinity;\n\n  // Compute the points and their extent.\n  for (i = 0; i < n; ++i) {\n    if (isNaN(x = +this._x.call(null, d = data[i])) || isNaN(y = +this._y.call(null, d))) continue;\n    xz[i] = x;\n    yz[i] = y;\n    if (x < x0) x0 = x;\n    if (x > x1) x1 = x;\n    if (y < y0) y0 = y;\n    if (y > y1) y1 = y;\n  }\n\n  // If there were no (valid) points, inherit the existing extent.\n  if (x1 < x0) x0 = this._x0, x1 = this._x1;\n  if (y1 < y0) y0 = this._y0, y1 = this._y1;\n\n  // Expand the tree to cover the new points.\n  this.cover(x0, y0).cover(x1, y1);\n\n  // Add the new points.\n  for (i = 0; i < n; ++i) {\n    add(this, xz[i], yz[i], data[i]);\n  }\n\n  return this;\n}\n\nvar tree_cover = function(x, y) {\n  if (isNaN(x = +x) || isNaN(y = +y)) return this; // ignore invalid points\n\n  var x0 = this._x0,\n      y0 = this._y0,\n      x1 = this._x1,\n      y1 = this._y1;\n\n  // If the quadtree has no extent, initialize them.\n  // Integer extent are necessary so that if we later double the extent,\n  // the existing quadrant boundaries don’t change due to floating point error!\n  if (isNaN(x0)) {\n    x1 = (x0 = Math.floor(x)) + 1;\n    y1 = (y0 = Math.floor(y)) + 1;\n  }\n\n  // Otherwise, double repeatedly to cover.\n  else if (x0 > x || x > x1 || y0 > y || y > y1) {\n    var z = x1 - x0,\n        node = this._root,\n        parent,\n        i;\n\n    switch (i = (y < (y0 + y1) / 2) << 1 | (x < (x0 + x1) / 2)) {\n      case 0: {\n        do parent = new Array(4), parent[i] = node, node = parent;\n        while (z *= 2, x1 = x0 + z, y1 = y0 + z, x > x1 || y > y1);\n        break;\n      }\n      case 1: {\n        do parent = new Array(4), parent[i] = node, node = parent;\n        while (z *= 2, x0 = x1 - z, y1 = y0 + z, x0 > x || y > y1);\n        break;\n      }\n      case 2: {\n        do parent = new Array(4), parent[i] = node, node = parent;\n        while (z *= 2, x1 = x0 + z, y0 = y1 - z, x > x1 || y0 > y);\n        break;\n      }\n      case 3: {\n        do parent = new Array(4), parent[i] = node, node = parent;\n        while (z *= 2, x0 = x1 - z, y0 = y1 - z, x0 > x || y0 > y);\n        break;\n      }\n    }\n\n    if (this._root && this._root.length) this._root = node;\n  }\n\n  // If the quadtree covers the point already, just return.\n  else return this;\n\n  this._x0 = x0;\n  this._y0 = y0;\n  this._x1 = x1;\n  this._y1 = y1;\n  return this;\n};\n\nvar tree_data = function() {\n  var data = [];\n  this.visit(function(node) {\n    if (!node.length) do data.push(node.data); while (node = node.next)\n  });\n  return data;\n};\n\nvar tree_extent = function(_) {\n  return arguments.length\n      ? this.cover(+_[0][0], +_[0][1]).cover(+_[1][0], +_[1][1])\n      : isNaN(this._x0) ? undefined : [[this._x0, this._y0], [this._x1, this._y1]];\n};\n\nvar Quad = function(node, x0, y0, x1, y1) {\n  this.node = node;\n  this.x0 = x0;\n  this.y0 = y0;\n  this.x1 = x1;\n  this.y1 = y1;\n};\n\nvar tree_find = function(x, y, radius) {\n  var data,\n      x0 = this._x0,\n      y0 = this._y0,\n      x1,\n      y1,\n      x2,\n      y2,\n      x3 = this._x1,\n      y3 = this._y1,\n      quads = [],\n      node = this._root,\n      q,\n      i;\n\n  if (node) quads.push(new Quad(node, x0, y0, x3, y3));\n  if (radius == null) radius = Infinity;\n  else {\n    x0 = x - radius, y0 = y - radius;\n    x3 = x + radius, y3 = y + radius;\n    radius *= radius;\n  }\n\n  while (q = quads.pop()) {\n\n    // Stop searching if this quadrant can’t contain a closer node.\n    if (!(node = q.node)\n        || (x1 = q.x0) > x3\n        || (y1 = q.y0) > y3\n        || (x2 = q.x1) < x0\n        || (y2 = q.y1) < y0) continue;\n\n    // Bisect the current quadrant.\n    if (node.length) {\n      var xm = (x1 + x2) / 2,\n          ym = (y1 + y2) / 2;\n\n      quads.push(\n        new Quad(node[3], xm, ym, x2, y2),\n        new Quad(node[2], x1, ym, xm, y2),\n        new Quad(node[1], xm, y1, x2, ym),\n        new Quad(node[0], x1, y1, xm, ym)\n      );\n\n      // Visit the closest quadrant first.\n      if (i = (y >= ym) << 1 | (x >= xm)) {\n        q = quads[quads.length - 1];\n        quads[quads.length - 1] = quads[quads.length - 1 - i];\n        quads[quads.length - 1 - i] = q;\n      }\n    }\n\n    // Visit this point. (Visiting coincident points isn’t necessary!)\n    else {\n      var dx = x - +this._x.call(null, node.data),\n          dy = y - +this._y.call(null, node.data),\n          d2 = dx * dx + dy * dy;\n      if (d2 < radius) {\n        var d = Math.sqrt(radius = d2);\n        x0 = x - d, y0 = y - d;\n        x3 = x + d, y3 = y + d;\n        data = node.data;\n      }\n    }\n  }\n\n  return data;\n};\n\nvar tree_remove = function(d) {\n  if (isNaN(x = +this._x.call(null, d)) || isNaN(y = +this._y.call(null, d))) return this; // ignore invalid points\n\n  var parent,\n      node = this._root,\n      retainer,\n      previous,\n      next,\n      x0 = this._x0,\n      y0 = this._y0,\n      x1 = this._x1,\n      y1 = this._y1,\n      x,\n      y,\n      xm,\n      ym,\n      right,\n      bottom,\n      i,\n      j;\n\n  // If the tree is empty, initialize the root as a leaf.\n  if (!node) return this;\n\n  // Find the leaf node for the point.\n  // While descending, also retain the deepest parent with a non-removed sibling.\n  if (node.length) while (true) {\n    if (right = x >= (xm = (x0 + x1) / 2)) x0 = xm; else x1 = xm;\n    if (bottom = y >= (ym = (y0 + y1) / 2)) y0 = ym; else y1 = ym;\n    if (!(parent = node, node = node[i = bottom << 1 | right])) return this;\n    if (!node.length) break;\n    if (parent[(i + 1) & 3] || parent[(i + 2) & 3] || parent[(i + 3) & 3]) retainer = parent, j = i;\n  }\n\n  // Find the point to remove.\n  while (node.data !== d) if (!(previous = node, node = node.next)) return this;\n  if (next = node.next) delete node.next;\n\n  // If there are multiple coincident points, remove just the point.\n  if (previous) return (next ? previous.next = next : delete previous.next), this;\n\n  // If this is the root point, remove it.\n  if (!parent) return this._root = next, this;\n\n  // Remove this leaf.\n  next ? parent[i] = next : delete parent[i];\n\n  // If the parent now contains exactly one leaf, collapse superfluous parents.\n  if ((node = parent[0] || parent[1] || parent[2] || parent[3])\n      && node === (parent[3] || parent[2] || parent[1] || parent[0])\n      && !node.length) {\n    if (retainer) retainer[j] = node;\n    else this._root = node;\n  }\n\n  return this;\n};\n\nfunction removeAll(data) {\n  for (var i = 0, n = data.length; i < n; ++i) this.remove(data[i]);\n  return this;\n}\n\nvar tree_root = function() {\n  return this._root;\n};\n\nvar tree_size = function() {\n  var size = 0;\n  this.visit(function(node) {\n    if (!node.length) do ++size; while (node = node.next)\n  });\n  return size;\n};\n\nvar tree_visit = function(callback) {\n  var quads = [], q, node = this._root, child, x0, y0, x1, y1;\n  if (node) quads.push(new Quad(node, this._x0, this._y0, this._x1, this._y1));\n  while (q = quads.pop()) {\n    if (!callback(node = q.node, x0 = q.x0, y0 = q.y0, x1 = q.x1, y1 = q.y1) && node.length) {\n      var xm = (x0 + x1) / 2, ym = (y0 + y1) / 2;\n      if (child = node[3]) quads.push(new Quad(child, xm, ym, x1, y1));\n      if (child = node[2]) quads.push(new Quad(child, x0, ym, xm, y1));\n      if (child = node[1]) quads.push(new Quad(child, xm, y0, x1, ym));\n      if (child = node[0]) quads.push(new Quad(child, x0, y0, xm, ym));\n    }\n  }\n  return this;\n};\n\nvar tree_visitAfter = function(callback) {\n  var quads = [], next = [], q;\n  if (this._root) quads.push(new Quad(this._root, this._x0, this._y0, this._x1, this._y1));\n  while (q = quads.pop()) {\n    var node = q.node;\n    if (node.length) {\n      var child, x0 = q.x0, y0 = q.y0, x1 = q.x1, y1 = q.y1, xm = (x0 + x1) / 2, ym = (y0 + y1) / 2;\n      if (child = node[0]) quads.push(new Quad(child, x0, y0, xm, ym));\n      if (child = node[1]) quads.push(new Quad(child, xm, y0, x1, ym));\n      if (child = node[2]) quads.push(new Quad(child, x0, ym, xm, y1));\n      if (child = node[3]) quads.push(new Quad(child, xm, ym, x1, y1));\n    }\n    next.push(q);\n  }\n  while (q = next.pop()) {\n    callback(q.node, q.x0, q.y0, q.x1, q.y1);\n  }\n  return this;\n};\n\nfunction defaultX(d) {\n  return d[0];\n}\n\nvar tree_x = function(_) {\n  return arguments.length ? (this._x = _, this) : this._x;\n};\n\nfunction defaultY(d) {\n  return d[1];\n}\n\nvar tree_y = function(_) {\n  return arguments.length ? (this._y = _, this) : this._y;\n};\n\nfunction quadtree(nodes, x, y) {\n  var tree = new Quadtree(x == null ? defaultX : x, y == null ? defaultY : y, NaN, NaN, NaN, NaN);\n  return nodes == null ? tree : tree.addAll(nodes);\n}\n\nfunction Quadtree(x, y, x0, y0, x1, y1) {\n  this._x = x;\n  this._y = y;\n  this._x0 = x0;\n  this._y0 = y0;\n  this._x1 = x1;\n  this._y1 = y1;\n  this._root = undefined;\n}\n\nfunction leaf_copy(leaf) {\n  var copy = {data: leaf.data}, next = copy;\n  while (leaf = leaf.next) next = next.next = {data: leaf.data};\n  return copy;\n}\n\nvar treeProto = quadtree.prototype = Quadtree.prototype;\n\ntreeProto.copy = function() {\n  var copy = new Quadtree(this._x, this._y, this._x0, this._y0, this._x1, this._y1),\n      node = this._root,\n      nodes,\n      child;\n\n  if (!node) return copy;\n\n  if (!node.length) return copy._root = leaf_copy(node), copy;\n\n  nodes = [{source: node, target: copy._root = new Array(4)}];\n  while (node = nodes.pop()) {\n    for (var i = 0; i < 4; ++i) {\n      if (child = node.source[i]) {\n        if (child.length) nodes.push({source: child, target: node.target[i] = new Array(4)});\n        else node.target[i] = leaf_copy(child);\n      }\n    }\n  }\n\n  return copy;\n};\n\ntreeProto.add = tree_add;\ntreeProto.addAll = addAll;\ntreeProto.cover = tree_cover;\ntreeProto.data = tree_data;\ntreeProto.extent = tree_extent;\ntreeProto.find = tree_find;\ntreeProto.remove = tree_remove;\ntreeProto.removeAll = removeAll;\ntreeProto.root = tree_root;\ntreeProto.size = tree_size;\ntreeProto.visit = tree_visit;\ntreeProto.visitAfter = tree_visitAfter;\ntreeProto.x = tree_x;\ntreeProto.y = tree_y;\n\nexports.quadtree = quadtree;\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n})));\n\n},{}],147:[function(_dereq_,module,exports){\n// https://d3js.org/d3-timer/ Version 1.0.7. Copyright 2017 Mike Bostock.\n(function (global, factory) {\n\ttypeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :\n\ttypeof define === 'function' && define.amd ? define(['exports'], factory) :\n\t(factory((global.d3 = global.d3 || {})));\n}(this, (function (exports) { 'use strict';\n\nvar frame = 0;\nvar timeout = 0;\nvar interval = 0;\nvar pokeDelay = 1000;\nvar taskHead;\nvar taskTail;\nvar clockLast = 0;\nvar clockNow = 0;\nvar clockSkew = 0;\nvar clock = typeof performance === \"object\" && performance.now ? performance : Date;\nvar setFrame = typeof window === \"object\" && window.requestAnimationFrame ? window.requestAnimationFrame.bind(window) : function(f) { setTimeout(f, 17); };\n\nfunction now() {\n  return clockNow || (setFrame(clearNow), clockNow = clock.now() + clockSkew);\n}\n\nfunction clearNow() {\n  clockNow = 0;\n}\n\nfunction Timer() {\n  this._call =\n  this._time =\n  this._next = null;\n}\n\nTimer.prototype = timer.prototype = {\n  constructor: Timer,\n  restart: function(callback, delay, time) {\n    if (typeof callback !== \"function\") throw new TypeError(\"callback is not a function\");\n    time = (time == null ? now() : +time) + (delay == null ? 0 : +delay);\n    if (!this._next && taskTail !== this) {\n      if (taskTail) taskTail._next = this;\n      else taskHead = this;\n      taskTail = this;\n    }\n    this._call = callback;\n    this._time = time;\n    sleep();\n  },\n  stop: function() {\n    if (this._call) {\n      this._call = null;\n      this._time = Infinity;\n      sleep();\n    }\n  }\n};\n\nfunction timer(callback, delay, time) {\n  var t = new Timer;\n  t.restart(callback, delay, time);\n  return t;\n}\n\nfunction timerFlush() {\n  now(); // Get the current time, if not already set.\n  ++frame; // Pretend we’ve set an alarm, if we haven’t already.\n  var t = taskHead, e;\n  while (t) {\n    if ((e = clockNow - t._time) >= 0) t._call.call(null, e);\n    t = t._next;\n  }\n  --frame;\n}\n\nfunction wake() {\n  clockNow = (clockLast = clock.now()) + clockSkew;\n  frame = timeout = 0;\n  try {\n    timerFlush();\n  } finally {\n    frame = 0;\n    nap();\n    clockNow = 0;\n  }\n}\n\nfunction poke() {\n  var now = clock.now(), delay = now - clockLast;\n  if (delay > pokeDelay) clockSkew -= delay, clockLast = now;\n}\n\nfunction nap() {\n  var t0, t1 = taskHead, t2, time = Infinity;\n  while (t1) {\n    if (t1._call) {\n      if (time > t1._time) time = t1._time;\n      t0 = t1, t1 = t1._next;\n    } else {\n      t2 = t1._next, t1._next = null;\n      t1 = t0 ? t0._next = t2 : taskHead = t2;\n    }\n  }\n  taskTail = t0;\n  sleep(time);\n}\n\nfunction sleep(time) {\n  if (frame) return; // Soonest alarm already set, or will be.\n  if (timeout) timeout = clearTimeout(timeout);\n  var delay = time - clockNow; // Strictly less than if we recomputed clockNow.\n  if (delay > 24) {\n    if (time < Infinity) timeout = setTimeout(wake, time - clock.now() - clockSkew);\n    if (interval) interval = clearInterval(interval);\n  } else {\n    if (!interval) clockLast = clock.now(), interval = setInterval(poke, pokeDelay);\n    frame = 1, setFrame(wake);\n  }\n}\n\nvar timeout$1 = function(callback, delay, time) {\n  var t = new Timer;\n  delay = delay == null ? 0 : +delay;\n  t.restart(function(elapsed) {\n    t.stop();\n    callback(elapsed + delay);\n  }, delay, time);\n  return t;\n};\n\nvar interval$1 = function(callback, delay, time) {\n  var t = new Timer, total = delay;\n  if (delay == null) return t.restart(callback, delay, time), t;\n  delay = +delay, time = time == null ? now() : +time;\n  t.restart(function tick(elapsed) {\n    elapsed += total;\n    t.restart(tick, total += delay, time);\n    callback(elapsed);\n  }, delay, time);\n  return t;\n};\n\nexports.now = now;\nexports.timer = timer;\nexports.timerFlush = timerFlush;\nexports.timeout = timeout$1;\nexports.interval = interval$1;\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n})));\n\n},{}],148:[function(_dereq_,module,exports){\n!function() {\n  var d3 = {\n    version: \"3.5.17\"\n  };\n  var d3_arraySlice = [].slice, d3_array = function(list) {\n    return d3_arraySlice.call(list);\n  };\n  var d3_document = this.document;\n  function d3_documentElement(node) {\n    return node && (node.ownerDocument || node.document || node).documentElement;\n  }\n  function d3_window(node) {\n    return node && (node.ownerDocument && node.ownerDocument.defaultView || node.document && node || node.defaultView);\n  }\n  if (d3_document) {\n    try {\n      d3_array(d3_document.documentElement.childNodes)[0].nodeType;\n    } catch (e) {\n      d3_array = function(list) {\n        var i = list.length, array = new Array(i);\n        while (i--) array[i] = list[i];\n        return array;\n      };\n    }\n  }\n  if (!Date.now) Date.now = function() {\n    return +new Date();\n  };\n  if (d3_document) {\n    try {\n      d3_document.createElement(\"DIV\").style.setProperty(\"opacity\", 0, \"\");\n    } catch (error) {\n      var d3_element_prototype = this.Element.prototype, d3_element_setAttribute = d3_element_prototype.setAttribute, d3_element_setAttributeNS = d3_element_prototype.setAttributeNS, d3_style_prototype = this.CSSStyleDeclaration.prototype, d3_style_setProperty = d3_style_prototype.setProperty;\n      d3_element_prototype.setAttribute = function(name, value) {\n        d3_element_setAttribute.call(this, name, value + \"\");\n      };\n      d3_element_prototype.setAttributeNS = function(space, local, value) {\n        d3_element_setAttributeNS.call(this, space, local, value + \"\");\n      };\n      d3_style_prototype.setProperty = function(name, value, priority) {\n        d3_style_setProperty.call(this, name, value + \"\", priority);\n      };\n    }\n  }\n  d3.ascending = d3_ascending;\n  function d3_ascending(a, b) {\n    return a < b ? -1 : a > b ? 1 : a >= b ? 0 : NaN;\n  }\n  d3.descending = function(a, b) {\n    return b < a ? -1 : b > a ? 1 : b >= a ? 0 : NaN;\n  };\n  d3.min = function(array, f) {\n    var i = -1, n = array.length, a, b;\n    if (arguments.length === 1) {\n      while (++i < n) if ((b = array[i]) != null && b >= b) {\n        a = b;\n        break;\n      }\n      while (++i < n) if ((b = array[i]) != null && a > b) a = b;\n    } else {\n      while (++i < n) if ((b = f.call(array, array[i], i)) != null && b >= b) {\n        a = b;\n        break;\n      }\n      while (++i < n) if ((b = f.call(array, array[i], i)) != null && a > b) a = b;\n    }\n    return a;\n  };\n  d3.max = function(array, f) {\n    var i = -1, n = array.length, a, b;\n    if (arguments.length === 1) {\n      while (++i < n) if ((b = array[i]) != null && b >= b) {\n        a = b;\n        break;\n      }\n      while (++i < n) if ((b = array[i]) != null && b > a) a = b;\n    } else {\n      while (++i < n) if ((b = f.call(array, array[i], i)) != null && b >= b) {\n        a = b;\n        break;\n      }\n      while (++i < n) if ((b = f.call(array, array[i], i)) != null && b > a) a = b;\n    }\n    return a;\n  };\n  d3.extent = function(array, f) {\n    var i = -1, n = array.length, a, b, c;\n    if (arguments.length === 1) {\n      while (++i < n) if ((b = array[i]) != null && b >= b) {\n        a = c = b;\n        break;\n      }\n      while (++i < n) if ((b = array[i]) != null) {\n        if (a > b) a = b;\n        if (c < b) c = b;\n      }\n    } else {\n      while (++i < n) if ((b = f.call(array, array[i], i)) != null && b >= b) {\n        a = c = b;\n        break;\n      }\n      while (++i < n) if ((b = f.call(array, array[i], i)) != null) {\n        if (a > b) a = b;\n        if (c < b) c = b;\n      }\n    }\n    return [ a, c ];\n  };\n  function d3_number(x) {\n    return x === null ? NaN : +x;\n  }\n  function d3_numeric(x) {\n    return !isNaN(x);\n  }\n  d3.sum = function(array, f) {\n    var s = 0, n = array.length, a, i = -1;\n    if (arguments.length === 1) {\n      while (++i < n) if (d3_numeric(a = +array[i])) s += a;\n    } else {\n      while (++i < n) if (d3_numeric(a = +f.call(array, array[i], i))) s += a;\n    }\n    return s;\n  };\n  d3.mean = function(array, f) {\n    var s = 0, n = array.length, a, i = -1, j = n;\n    if (arguments.length === 1) {\n      while (++i < n) if (d3_numeric(a = d3_number(array[i]))) s += a; else --j;\n    } else {\n      while (++i < n) if (d3_numeric(a = d3_number(f.call(array, array[i], i)))) s += a; else --j;\n    }\n    if (j) return s / j;\n  };\n  d3.quantile = function(values, p) {\n    var H = (values.length - 1) * p + 1, h = Math.floor(H), v = +values[h - 1], e = H - h;\n    return e ? v + e * (values[h] - v) : v;\n  };\n  d3.median = function(array, f) {\n    var numbers = [], n = array.length, a, i = -1;\n    if (arguments.length === 1) {\n      while (++i < n) if (d3_numeric(a = d3_number(array[i]))) numbers.push(a);\n    } else {\n      while (++i < n) if (d3_numeric(a = d3_number(f.call(array, array[i], i)))) numbers.push(a);\n    }\n    if (numbers.length) return d3.quantile(numbers.sort(d3_ascending), .5);\n  };\n  d3.variance = function(array, f) {\n    var n = array.length, m = 0, a, d, s = 0, i = -1, j = 0;\n    if (arguments.length === 1) {\n      while (++i < n) {\n        if (d3_numeric(a = d3_number(array[i]))) {\n          d = a - m;\n          m += d / ++j;\n          s += d * (a - m);\n        }\n      }\n    } else {\n      while (++i < n) {\n        if (d3_numeric(a = d3_number(f.call(array, array[i], i)))) {\n          d = a - m;\n          m += d / ++j;\n          s += d * (a - m);\n        }\n      }\n    }\n    if (j > 1) return s / (j - 1);\n  };\n  d3.deviation = function() {\n    var v = d3.variance.apply(this, arguments);\n    return v ? Math.sqrt(v) : v;\n  };\n  function d3_bisector(compare) {\n    return {\n      left: function(a, x, lo, hi) {\n        if (arguments.length < 3) lo = 0;\n        if (arguments.length < 4) hi = a.length;\n        while (lo < hi) {\n          var mid = lo + hi >>> 1;\n          if (compare(a[mid], x) < 0) lo = mid + 1; else hi = mid;\n        }\n        return lo;\n      },\n      right: function(a, x, lo, hi) {\n        if (arguments.length < 3) lo = 0;\n        if (arguments.length < 4) hi = a.length;\n        while (lo < hi) {\n          var mid = lo + hi >>> 1;\n          if (compare(a[mid], x) > 0) hi = mid; else lo = mid + 1;\n        }\n        return lo;\n      }\n    };\n  }\n  var d3_bisect = d3_bisector(d3_ascending);\n  d3.bisectLeft = d3_bisect.left;\n  d3.bisect = d3.bisectRight = d3_bisect.right;\n  d3.bisector = function(f) {\n    return d3_bisector(f.length === 1 ? function(d, x) {\n      return d3_ascending(f(d), x);\n    } : f);\n  };\n  d3.shuffle = function(array, i0, i1) {\n    if ((m = arguments.length) < 3) {\n      i1 = array.length;\n      if (m < 2) i0 = 0;\n    }\n    var m = i1 - i0, t, i;\n    while (m) {\n      i = Math.random() * m-- | 0;\n      t = array[m + i0], array[m + i0] = array[i + i0], array[i + i0] = t;\n    }\n    return array;\n  };\n  d3.permute = function(array, indexes) {\n    var i = indexes.length, permutes = new Array(i);\n    while (i--) permutes[i] = array[indexes[i]];\n    return permutes;\n  };\n  d3.pairs = function(array) {\n    var i = 0, n = array.length - 1, p0, p1 = array[0], pairs = new Array(n < 0 ? 0 : n);\n    while (i < n) pairs[i] = [ p0 = p1, p1 = array[++i] ];\n    return pairs;\n  };\n  d3.transpose = function(matrix) {\n    if (!(n = matrix.length)) return [];\n    for (var i = -1, m = d3.min(matrix, d3_transposeLength), transpose = new Array(m); ++i < m; ) {\n      for (var j = -1, n, row = transpose[i] = new Array(n); ++j < n; ) {\n        row[j] = matrix[j][i];\n      }\n    }\n    return transpose;\n  };\n  function d3_transposeLength(d) {\n    return d.length;\n  }\n  d3.zip = function() {\n    return d3.transpose(arguments);\n  };\n  d3.keys = function(map) {\n    var keys = [];\n    for (var key in map) keys.push(key);\n    return keys;\n  };\n  d3.values = function(map) {\n    var values = [];\n    for (var key in map) values.push(map[key]);\n    return values;\n  };\n  d3.entries = function(map) {\n    var entries = [];\n    for (var key in map) entries.push({\n      key: key,\n      value: map[key]\n    });\n    return entries;\n  };\n  d3.merge = function(arrays) {\n    var n = arrays.length, m, i = -1, j = 0, merged, array;\n    while (++i < n) j += arrays[i].length;\n    merged = new Array(j);\n    while (--n >= 0) {\n      array = arrays[n];\n      m = array.length;\n      while (--m >= 0) {\n        merged[--j] = array[m];\n      }\n    }\n    return merged;\n  };\n  var abs = Math.abs;\n  d3.range = function(start, stop, step) {\n    if (arguments.length < 3) {\n      step = 1;\n      if (arguments.length < 2) {\n        stop = start;\n        start = 0;\n      }\n    }\n    if ((stop - start) / step === Infinity) throw new Error(\"infinite range\");\n    var range = [], k = d3_range_integerScale(abs(step)), i = -1, j;\n    start *= k, stop *= k, step *= k;\n    if (step < 0) while ((j = start + step * ++i) > stop) range.push(j / k); else while ((j = start + step * ++i) < stop) range.push(j / k);\n    return range;\n  };\n  function d3_range_integerScale(x) {\n    var k = 1;\n    while (x * k % 1) k *= 10;\n    return k;\n  }\n  function d3_class(ctor, properties) {\n    for (var key in properties) {\n      Object.defineProperty(ctor.prototype, key, {\n        value: properties[key],\n        enumerable: false\n      });\n    }\n  }\n  d3.map = function(object, f) {\n    var map = new d3_Map();\n    if (object instanceof d3_Map) {\n      object.forEach(function(key, value) {\n        map.set(key, value);\n      });\n    } else if (Array.isArray(object)) {\n      var i = -1, n = object.length, o;\n      if (arguments.length === 1) while (++i < n) map.set(i, object[i]); else while (++i < n) map.set(f.call(object, o = object[i], i), o);\n    } else {\n      for (var key in object) map.set(key, object[key]);\n    }\n    return map;\n  };\n  function d3_Map() {\n    this._ = Object.create(null);\n  }\n  var d3_map_proto = \"__proto__\", d3_map_zero = \"\\x00\";\n  d3_class(d3_Map, {\n    has: d3_map_has,\n    get: function(key) {\n      return this._[d3_map_escape(key)];\n    },\n    set: function(key, value) {\n      return this._[d3_map_escape(key)] = value;\n    },\n    remove: d3_map_remove,\n    keys: d3_map_keys,\n    values: function() {\n      var values = [];\n      for (var key in this._) values.push(this._[key]);\n      return values;\n    },\n    entries: function() {\n      var entries = [];\n      for (var key in this._) entries.push({\n        key: d3_map_unescape(key),\n        value: this._[key]\n      });\n      return entries;\n    },\n    size: d3_map_size,\n    empty: d3_map_empty,\n    forEach: function(f) {\n      for (var key in this._) f.call(this, d3_map_unescape(key), this._[key]);\n    }\n  });\n  function d3_map_escape(key) {\n    return (key += \"\") === d3_map_proto || key[0] === d3_map_zero ? d3_map_zero + key : key;\n  }\n  function d3_map_unescape(key) {\n    return (key += \"\")[0] === d3_map_zero ? key.slice(1) : key;\n  }\n  function d3_map_has(key) {\n    return d3_map_escape(key) in this._;\n  }\n  function d3_map_remove(key) {\n    return (key = d3_map_escape(key)) in this._ && delete this._[key];\n  }\n  function d3_map_keys() {\n    var keys = [];\n    for (var key in this._) keys.push(d3_map_unescape(key));\n    return keys;\n  }\n  function d3_map_size() {\n    var size = 0;\n    for (var key in this._) ++size;\n    return size;\n  }\n  function d3_map_empty() {\n    for (var key in this._) return false;\n    return true;\n  }\n  d3.nest = function() {\n    var nest = {}, keys = [], sortKeys = [], sortValues, rollup;\n    function map(mapType, array, depth) {\n      if (depth >= keys.length) return rollup ? rollup.call(nest, array) : sortValues ? array.sort(sortValues) : array;\n      var i = -1, n = array.length, key = keys[depth++], keyValue, object, setter, valuesByKey = new d3_Map(), values;\n      while (++i < n) {\n        if (values = valuesByKey.get(keyValue = key(object = array[i]))) {\n          values.push(object);\n        } else {\n          valuesByKey.set(keyValue, [ object ]);\n        }\n      }\n      if (mapType) {\n        object = mapType();\n        setter = function(keyValue, values) {\n          object.set(keyValue, map(mapType, values, depth));\n        };\n      } else {\n        object = {};\n        setter = function(keyValue, values) {\n          object[keyValue] = map(mapType, values, depth);\n        };\n      }\n      valuesByKey.forEach(setter);\n      return object;\n    }\n    function entries(map, depth) {\n      if (depth >= keys.length) return map;\n      var array = [], sortKey = sortKeys[depth++];\n      map.forEach(function(key, keyMap) {\n        array.push({\n          key: key,\n          values: entries(keyMap, depth)\n        });\n      });\n      return sortKey ? array.sort(function(a, b) {\n        return sortKey(a.key, b.key);\n      }) : array;\n    }\n    nest.map = function(array, mapType) {\n      return map(mapType, array, 0);\n    };\n    nest.entries = function(array) {\n      return entries(map(d3.map, array, 0), 0);\n    };\n    nest.key = function(d) {\n      keys.push(d);\n      return nest;\n    };\n    nest.sortKeys = function(order) {\n      sortKeys[keys.length - 1] = order;\n      return nest;\n    };\n    nest.sortValues = function(order) {\n      sortValues = order;\n      return nest;\n    };\n    nest.rollup = function(f) {\n      rollup = f;\n      return nest;\n    };\n    return nest;\n  };\n  d3.set = function(array) {\n    var set = new d3_Set();\n    if (array) for (var i = 0, n = array.length; i < n; ++i) set.add(array[i]);\n    return set;\n  };\n  function d3_Set() {\n    this._ = Object.create(null);\n  }\n  d3_class(d3_Set, {\n    has: d3_map_has,\n    add: function(key) {\n      this._[d3_map_escape(key += \"\")] = true;\n      return key;\n    },\n    remove: d3_map_remove,\n    values: d3_map_keys,\n    size: d3_map_size,\n    empty: d3_map_empty,\n    forEach: function(f) {\n      for (var key in this._) f.call(this, d3_map_unescape(key));\n    }\n  });\n  d3.behavior = {};\n  function d3_identity(d) {\n    return d;\n  }\n  d3.rebind = function(target, source) {\n    var i = 1, n = arguments.length, method;\n    while (++i < n) target[method = arguments[i]] = d3_rebind(target, source, source[method]);\n    return target;\n  };\n  function d3_rebind(target, source, method) {\n    return function() {\n      var value = method.apply(source, arguments);\n      return value === source ? target : value;\n    };\n  }\n  function d3_vendorSymbol(object, name) {\n    if (name in object) return name;\n    name = name.charAt(0).toUpperCase() + name.slice(1);\n    for (var i = 0, n = d3_vendorPrefixes.length; i < n; ++i) {\n      var prefixName = d3_vendorPrefixes[i] + name;\n      if (prefixName in object) return prefixName;\n    }\n  }\n  var d3_vendorPrefixes = [ \"webkit\", \"ms\", \"moz\", \"Moz\", \"o\", \"O\" ];\n  function d3_noop() {}\n  d3.dispatch = function() {\n    var dispatch = new d3_dispatch(), i = -1, n = arguments.length;\n    while (++i < n) dispatch[arguments[i]] = d3_dispatch_event(dispatch);\n    return dispatch;\n  };\n  function d3_dispatch() {}\n  d3_dispatch.prototype.on = function(type, listener) {\n    var i = type.indexOf(\".\"), name = \"\";\n    if (i >= 0) {\n      name = type.slice(i + 1);\n      type = type.slice(0, i);\n    }\n    if (type) return arguments.length < 2 ? this[type].on(name) : this[type].on(name, listener);\n    if (arguments.length === 2) {\n      if (listener == null) for (type in this) {\n        if (this.hasOwnProperty(type)) this[type].on(name, null);\n      }\n      return this;\n    }\n  };\n  function d3_dispatch_event(dispatch) {\n    var listeners = [], listenerByName = new d3_Map();\n    function event() {\n      var z = listeners, i = -1, n = z.length, l;\n      while (++i < n) if (l = z[i].on) l.apply(this, arguments);\n      return dispatch;\n    }\n    event.on = function(name, listener) {\n      var l = listenerByName.get(name), i;\n      if (arguments.length < 2) return l && l.on;\n      if (l) {\n        l.on = null;\n        listeners = listeners.slice(0, i = listeners.indexOf(l)).concat(listeners.slice(i + 1));\n        listenerByName.remove(name);\n      }\n      if (listener) listeners.push(listenerByName.set(name, {\n        on: listener\n      }));\n      return dispatch;\n    };\n    return event;\n  }\n  d3.event = null;\n  function d3_eventPreventDefault() {\n    d3.event.preventDefault();\n  }\n  function d3_eventSource() {\n    var e = d3.event, s;\n    while (s = e.sourceEvent) e = s;\n    return e;\n  }\n  function d3_eventDispatch(target) {\n    var dispatch = new d3_dispatch(), i = 0, n = arguments.length;\n    while (++i < n) dispatch[arguments[i]] = d3_dispatch_event(dispatch);\n    dispatch.of = function(thiz, argumentz) {\n      return function(e1) {\n        try {\n          var e0 = e1.sourceEvent = d3.event;\n          e1.target = target;\n          d3.event = e1;\n          dispatch[e1.type].apply(thiz, argumentz);\n        } finally {\n          d3.event = e0;\n        }\n      };\n    };\n    return dispatch;\n  }\n  d3.requote = function(s) {\n    return s.replace(d3_requote_re, \"\\\\$&\");\n  };\n  var d3_requote_re = /[\\\\\\^\\$\\*\\+\\?\\|\\[\\]\\(\\)\\.\\{\\}]/g;\n  var d3_subclass = {}.__proto__ ? function(object, prototype) {\n    object.__proto__ = prototype;\n  } : function(object, prototype) {\n    for (var property in prototype) object[property] = prototype[property];\n  };\n  function d3_selection(groups) {\n    d3_subclass(groups, d3_selectionPrototype);\n    return groups;\n  }\n  var d3_select = function(s, n) {\n    return n.querySelector(s);\n  }, d3_selectAll = function(s, n) {\n    return n.querySelectorAll(s);\n  }, d3_selectMatches = function(n, s) {\n    var d3_selectMatcher = n.matches || n[d3_vendorSymbol(n, \"matchesSelector\")];\n    d3_selectMatches = function(n, s) {\n      return d3_selectMatcher.call(n, s);\n    };\n    return d3_selectMatches(n, s);\n  };\n  if (typeof Sizzle === \"function\") {\n    d3_select = function(s, n) {\n      return Sizzle(s, n)[0] || null;\n    };\n    d3_selectAll = Sizzle;\n    d3_selectMatches = Sizzle.matchesSelector;\n  }\n  d3.selection = function() {\n    return d3.select(d3_document.documentElement);\n  };\n  var d3_selectionPrototype = d3.selection.prototype = [];\n  d3_selectionPrototype.select = function(selector) {\n    var subgroups = [], subgroup, subnode, group, node;\n    selector = d3_selection_selector(selector);\n    for (var j = -1, m = this.length; ++j < m; ) {\n      subgroups.push(subgroup = []);\n      subgroup.parentNode = (group = this[j]).parentNode;\n      for (var i = -1, n = group.length; ++i < n; ) {\n        if (node = group[i]) {\n          subgroup.push(subnode = selector.call(node, node.__data__, i, j));\n          if (subnode && \"__data__\" in node) subnode.__data__ = node.__data__;\n        } else {\n          subgroup.push(null);\n        }\n      }\n    }\n    return d3_selection(subgroups);\n  };\n  function d3_selection_selector(selector) {\n    return typeof selector === \"function\" ? selector : function() {\n      return d3_select(selector, this);\n    };\n  }\n  d3_selectionPrototype.selectAll = function(selector) {\n    var subgroups = [], subgroup, node;\n    selector = d3_selection_selectorAll(selector);\n    for (var j = -1, m = this.length; ++j < m; ) {\n      for (var group = this[j], i = -1, n = group.length; ++i < n; ) {\n        if (node = group[i]) {\n          subgroups.push(subgroup = d3_array(selector.call(node, node.__data__, i, j)));\n          subgroup.parentNode = node;\n        }\n      }\n    }\n    return d3_selection(subgroups);\n  };\n  function d3_selection_selectorAll(selector) {\n    return typeof selector === \"function\" ? selector : function() {\n      return d3_selectAll(selector, this);\n    };\n  }\n  var d3_nsXhtml = \"http://www.w3.org/1999/xhtml\";\n  var d3_nsPrefix = {\n    svg: \"http://www.w3.org/2000/svg\",\n    xhtml: d3_nsXhtml,\n    xlink: \"http://www.w3.org/1999/xlink\",\n    xml: \"http://www.w3.org/XML/1998/namespace\",\n    xmlns: \"http://www.w3.org/2000/xmlns/\"\n  };\n  d3.ns = {\n    prefix: d3_nsPrefix,\n    qualify: function(name) {\n      var i = name.indexOf(\":\"), prefix = name;\n      if (i >= 0 && (prefix = name.slice(0, i)) !== \"xmlns\") name = name.slice(i + 1);\n      return d3_nsPrefix.hasOwnProperty(prefix) ? {\n        space: d3_nsPrefix[prefix],\n        local: name\n      } : name;\n    }\n  };\n  d3_selectionPrototype.attr = function(name, value) {\n    if (arguments.length < 2) {\n      if (typeof name === \"string\") {\n        var node = this.node();\n        name = d3.ns.qualify(name);\n        return name.local ? node.getAttributeNS(name.space, name.local) : node.getAttribute(name);\n      }\n      for (value in name) this.each(d3_selection_attr(value, name[value]));\n      return this;\n    }\n    return this.each(d3_selection_attr(name, value));\n  };\n  function d3_selection_attr(name, value) {\n    name = d3.ns.qualify(name);\n    function attrNull() {\n      this.removeAttribute(name);\n    }\n    function attrNullNS() {\n      this.removeAttributeNS(name.space, name.local);\n    }\n    function attrConstant() {\n      this.setAttribute(name, value);\n    }\n    function attrConstantNS() {\n      this.setAttributeNS(name.space, name.local, value);\n    }\n    function attrFunction() {\n      var x = value.apply(this, arguments);\n      if (x == null) this.removeAttribute(name); else this.setAttribute(name, x);\n    }\n    function attrFunctionNS() {\n      var x = value.apply(this, arguments);\n      if (x == null) this.removeAttributeNS(name.space, name.local); else this.setAttributeNS(name.space, name.local, x);\n    }\n    return value == null ? name.local ? attrNullNS : attrNull : typeof value === \"function\" ? name.local ? attrFunctionNS : attrFunction : name.local ? attrConstantNS : attrConstant;\n  }\n  function d3_collapse(s) {\n    return s.trim().replace(/\\s+/g, \" \");\n  }\n  d3_selectionPrototype.classed = function(name, value) {\n    if (arguments.length < 2) {\n      if (typeof name === \"string\") {\n        var node = this.node(), n = (name = d3_selection_classes(name)).length, i = -1;\n        if (value = node.classList) {\n          while (++i < n) if (!value.contains(name[i])) return false;\n        } else {\n          value = node.getAttribute(\"class\");\n          while (++i < n) if (!d3_selection_classedRe(name[i]).test(value)) return false;\n        }\n        return true;\n      }\n      for (value in name) this.each(d3_selection_classed(value, name[value]));\n      return this;\n    }\n    return this.each(d3_selection_classed(name, value));\n  };\n  function d3_selection_classedRe(name) {\n    return new RegExp(\"(?:^|\\\\s+)\" + d3.requote(name) + \"(?:\\\\s+|$)\", \"g\");\n  }\n  function d3_selection_classes(name) {\n    return (name + \"\").trim().split(/^|\\s+/);\n  }\n  function d3_selection_classed(name, value) {\n    name = d3_selection_classes(name).map(d3_selection_classedName);\n    var n = name.length;\n    function classedConstant() {\n      var i = -1;\n      while (++i < n) name[i](this, value);\n    }\n    function classedFunction() {\n      var i = -1, x = value.apply(this, arguments);\n      while (++i < n) name[i](this, x);\n    }\n    return typeof value === \"function\" ? classedFunction : classedConstant;\n  }\n  function d3_selection_classedName(name) {\n    var re = d3_selection_classedRe(name);\n    return function(node, value) {\n      if (c = node.classList) return value ? c.add(name) : c.remove(name);\n      var c = node.getAttribute(\"class\") || \"\";\n      if (value) {\n        re.lastIndex = 0;\n        if (!re.test(c)) node.setAttribute(\"class\", d3_collapse(c + \" \" + name));\n      } else {\n        node.setAttribute(\"class\", d3_collapse(c.replace(re, \" \")));\n      }\n    };\n  }\n  d3_selectionPrototype.style = function(name, value, priority) {\n    var n = arguments.length;\n    if (n < 3) {\n      if (typeof name !== \"string\") {\n        if (n < 2) value = \"\";\n        for (priority in name) this.each(d3_selection_style(priority, name[priority], value));\n        return this;\n      }\n      if (n < 2) {\n        var node = this.node();\n        return d3_window(node).getComputedStyle(node, null).getPropertyValue(name);\n      }\n      priority = \"\";\n    }\n    return this.each(d3_selection_style(name, value, priority));\n  };\n  function d3_selection_style(name, value, priority) {\n    function styleNull() {\n      this.style.removeProperty(name);\n    }\n    function styleConstant() {\n      this.style.setProperty(name, value, priority);\n    }\n    function styleFunction() {\n      var x = value.apply(this, arguments);\n      if (x == null) this.style.removeProperty(name); else this.style.setProperty(name, x, priority);\n    }\n    return value == null ? styleNull : typeof value === \"function\" ? styleFunction : styleConstant;\n  }\n  d3_selectionPrototype.property = function(name, value) {\n    if (arguments.length < 2) {\n      if (typeof name === \"string\") return this.node()[name];\n      for (value in name) this.each(d3_selection_property(value, name[value]));\n      return this;\n    }\n    return this.each(d3_selection_property(name, value));\n  };\n  function d3_selection_property(name, value) {\n    function propertyNull() {\n      delete this[name];\n    }\n    function propertyConstant() {\n      this[name] = value;\n    }\n    function propertyFunction() {\n      var x = value.apply(this, arguments);\n      if (x == null) delete this[name]; else this[name] = x;\n    }\n    return value == null ? propertyNull : typeof value === \"function\" ? propertyFunction : propertyConstant;\n  }\n  d3_selectionPrototype.text = function(value) {\n    return arguments.length ? this.each(typeof value === \"function\" ? function() {\n      var v = value.apply(this, arguments);\n      this.textContent = v == null ? \"\" : v;\n    } : value == null ? function() {\n      this.textContent = \"\";\n    } : function() {\n      this.textContent = value;\n    }) : this.node().textContent;\n  };\n  d3_selectionPrototype.html = function(value) {\n    return arguments.length ? this.each(typeof value === \"function\" ? function() {\n      var v = value.apply(this, arguments);\n      this.innerHTML = v == null ? \"\" : v;\n    } : value == null ? function() {\n      this.innerHTML = \"\";\n    } : function() {\n      this.innerHTML = value;\n    }) : this.node().innerHTML;\n  };\n  d3_selectionPrototype.append = function(name) {\n    name = d3_selection_creator(name);\n    return this.select(function() {\n      return this.appendChild(name.apply(this, arguments));\n    });\n  };\n  function d3_selection_creator(name) {\n    function create() {\n      var document = this.ownerDocument, namespace = this.namespaceURI;\n      return namespace === d3_nsXhtml && document.documentElement.namespaceURI === d3_nsXhtml ? document.createElement(name) : document.createElementNS(namespace, name);\n    }\n    function createNS() {\n      return this.ownerDocument.createElementNS(name.space, name.local);\n    }\n    return typeof name === \"function\" ? name : (name = d3.ns.qualify(name)).local ? createNS : create;\n  }\n  d3_selectionPrototype.insert = function(name, before) {\n    name = d3_selection_creator(name);\n    before = d3_selection_selector(before);\n    return this.select(function() {\n      return this.insertBefore(name.apply(this, arguments), before.apply(this, arguments) || null);\n    });\n  };\n  d3_selectionPrototype.remove = function() {\n    return this.each(d3_selectionRemove);\n  };\n  function d3_selectionRemove() {\n    var parent = this.parentNode;\n    if (parent) parent.removeChild(this);\n  }\n  d3_selectionPrototype.data = function(value, key) {\n    var i = -1, n = this.length, group, node;\n    if (!arguments.length) {\n      value = new Array(n = (group = this[0]).length);\n      while (++i < n) {\n        if (node = group[i]) {\n          value[i] = node.__data__;\n        }\n      }\n      return value;\n    }\n    function bind(group, groupData) {\n      var i, n = group.length, m = groupData.length, n0 = Math.min(n, m), updateNodes = new Array(m), enterNodes = new Array(m), exitNodes = new Array(n), node, nodeData;\n      if (key) {\n        var nodeByKeyValue = new d3_Map(), keyValues = new Array(n), keyValue;\n        for (i = -1; ++i < n; ) {\n          if (node = group[i]) {\n            if (nodeByKeyValue.has(keyValue = key.call(node, node.__data__, i))) {\n              exitNodes[i] = node;\n            } else {\n              nodeByKeyValue.set(keyValue, node);\n            }\n            keyValues[i] = keyValue;\n          }\n        }\n        for (i = -1; ++i < m; ) {\n          if (!(node = nodeByKeyValue.get(keyValue = key.call(groupData, nodeData = groupData[i], i)))) {\n            enterNodes[i] = d3_selection_dataNode(nodeData);\n          } else if (node !== true) {\n            updateNodes[i] = node;\n            node.__data__ = nodeData;\n          }\n          nodeByKeyValue.set(keyValue, true);\n        }\n        for (i = -1; ++i < n; ) {\n          if (i in keyValues && nodeByKeyValue.get(keyValues[i]) !== true) {\n            exitNodes[i] = group[i];\n          }\n        }\n      } else {\n        for (i = -1; ++i < n0; ) {\n          node = group[i];\n          nodeData = groupData[i];\n          if (node) {\n            node.__data__ = nodeData;\n            updateNodes[i] = node;\n          } else {\n            enterNodes[i] = d3_selection_dataNode(nodeData);\n          }\n        }\n        for (;i < m; ++i) {\n          enterNodes[i] = d3_selection_dataNode(groupData[i]);\n        }\n        for (;i < n; ++i) {\n          exitNodes[i] = group[i];\n        }\n      }\n      enterNodes.update = updateNodes;\n      enterNodes.parentNode = updateNodes.parentNode = exitNodes.parentNode = group.parentNode;\n      enter.push(enterNodes);\n      update.push(updateNodes);\n      exit.push(exitNodes);\n    }\n    var enter = d3_selection_enter([]), update = d3_selection([]), exit = d3_selection([]);\n    if (typeof value === \"function\") {\n      while (++i < n) {\n        bind(group = this[i], value.call(group, group.parentNode.__data__, i));\n      }\n    } else {\n      while (++i < n) {\n        bind(group = this[i], value);\n      }\n    }\n    update.enter = function() {\n      return enter;\n    };\n    update.exit = function() {\n      return exit;\n    };\n    return update;\n  };\n  function d3_selection_dataNode(data) {\n    return {\n      __data__: data\n    };\n  }\n  d3_selectionPrototype.datum = function(value) {\n    return arguments.length ? this.property(\"__data__\", value) : this.property(\"__data__\");\n  };\n  d3_selectionPrototype.filter = function(filter) {\n    var subgroups = [], subgroup, group, node;\n    if (typeof filter !== \"function\") filter = d3_selection_filter(filter);\n    for (var j = 0, m = this.length; j < m; j++) {\n      subgroups.push(subgroup = []);\n      subgroup.parentNode = (group = this[j]).parentNode;\n      for (var i = 0, n = group.length; i < n; i++) {\n        if ((node = group[i]) && filter.call(node, node.__data__, i, j)) {\n          subgroup.push(node);\n        }\n      }\n    }\n    return d3_selection(subgroups);\n  };\n  function d3_selection_filter(selector) {\n    return function() {\n      return d3_selectMatches(this, selector);\n    };\n  }\n  d3_selectionPrototype.order = function() {\n    for (var j = -1, m = this.length; ++j < m; ) {\n      for (var group = this[j], i = group.length - 1, next = group[i], node; --i >= 0; ) {\n        if (node = group[i]) {\n          if (next && next !== node.nextSibling) next.parentNode.insertBefore(node, next);\n          next = node;\n        }\n      }\n    }\n    return this;\n  };\n  d3_selectionPrototype.sort = function(comparator) {\n    comparator = d3_selection_sortComparator.apply(this, arguments);\n    for (var j = -1, m = this.length; ++j < m; ) this[j].sort(comparator);\n    return this.order();\n  };\n  function d3_selection_sortComparator(comparator) {\n    if (!arguments.length) comparator = d3_ascending;\n    return function(a, b) {\n      return a && b ? comparator(a.__data__, b.__data__) : !a - !b;\n    };\n  }\n  d3_selectionPrototype.each = function(callback) {\n    return d3_selection_each(this, function(node, i, j) {\n      callback.call(node, node.__data__, i, j);\n    });\n  };\n  function d3_selection_each(groups, callback) {\n    for (var j = 0, m = groups.length; j < m; j++) {\n      for (var group = groups[j], i = 0, n = group.length, node; i < n; i++) {\n        if (node = group[i]) callback(node, i, j);\n      }\n    }\n    return groups;\n  }\n  d3_selectionPrototype.call = function(callback) {\n    var args = d3_array(arguments);\n    callback.apply(args[0] = this, args);\n    return this;\n  };\n  d3_selectionPrototype.empty = function() {\n    return !this.node();\n  };\n  d3_selectionPrototype.node = function() {\n    for (var j = 0, m = this.length; j < m; j++) {\n      for (var group = this[j], i = 0, n = group.length; i < n; i++) {\n        var node = group[i];\n        if (node) return node;\n      }\n    }\n    return null;\n  };\n  d3_selectionPrototype.size = function() {\n    var n = 0;\n    d3_selection_each(this, function() {\n      ++n;\n    });\n    return n;\n  };\n  function d3_selection_enter(selection) {\n    d3_subclass(selection, d3_selection_enterPrototype);\n    return selection;\n  }\n  var d3_selection_enterPrototype = [];\n  d3.selection.enter = d3_selection_enter;\n  d3.selection.enter.prototype = d3_selection_enterPrototype;\n  d3_selection_enterPrototype.append = d3_selectionPrototype.append;\n  d3_selection_enterPrototype.empty = d3_selectionPrototype.empty;\n  d3_selection_enterPrototype.node = d3_selectionPrototype.node;\n  d3_selection_enterPrototype.call = d3_selectionPrototype.call;\n  d3_selection_enterPrototype.size = d3_selectionPrototype.size;\n  d3_selection_enterPrototype.select = function(selector) {\n    var subgroups = [], subgroup, subnode, upgroup, group, node;\n    for (var j = -1, m = this.length; ++j < m; ) {\n      upgroup = (group = this[j]).update;\n      subgroups.push(subgroup = []);\n      subgroup.parentNode = group.parentNode;\n      for (var i = -1, n = group.length; ++i < n; ) {\n        if (node = group[i]) {\n          subgroup.push(upgroup[i] = subnode = selector.call(group.parentNode, node.__data__, i, j));\n          subnode.__data__ = node.__data__;\n        } else {\n          subgroup.push(null);\n        }\n      }\n    }\n    return d3_selection(subgroups);\n  };\n  d3_selection_enterPrototype.insert = function(name, before) {\n    if (arguments.length < 2) before = d3_selection_enterInsertBefore(this);\n    return d3_selectionPrototype.insert.call(this, name, before);\n  };\n  function d3_selection_enterInsertBefore(enter) {\n    var i0, j0;\n    return function(d, i, j) {\n      var group = enter[j].update, n = group.length, node;\n      if (j != j0) j0 = j, i0 = 0;\n      if (i >= i0) i0 = i + 1;\n      while (!(node = group[i0]) && ++i0 < n) ;\n      return node;\n    };\n  }\n  d3.select = function(node) {\n    var group;\n    if (typeof node === \"string\") {\n      group = [ d3_select(node, d3_document) ];\n      group.parentNode = d3_document.documentElement;\n    } else {\n      group = [ node ];\n      group.parentNode = d3_documentElement(node);\n    }\n    return d3_selection([ group ]);\n  };\n  d3.selectAll = function(nodes) {\n    var group;\n    if (typeof nodes === \"string\") {\n      group = d3_array(d3_selectAll(nodes, d3_document));\n      group.parentNode = d3_document.documentElement;\n    } else {\n      group = d3_array(nodes);\n      group.parentNode = null;\n    }\n    return d3_selection([ group ]);\n  };\n  d3_selectionPrototype.on = function(type, listener, capture) {\n    var n = arguments.length;\n    if (n < 3) {\n      if (typeof type !== \"string\") {\n        if (n < 2) listener = false;\n        for (capture in type) this.each(d3_selection_on(capture, type[capture], listener));\n        return this;\n      }\n      if (n < 2) return (n = this.node()[\"__on\" + type]) && n._;\n      capture = false;\n    }\n    return this.each(d3_selection_on(type, listener, capture));\n  };\n  function d3_selection_on(type, listener, capture) {\n    var name = \"__on\" + type, i = type.indexOf(\".\"), wrap = d3_selection_onListener;\n    if (i > 0) type = type.slice(0, i);\n    var filter = d3_selection_onFilters.get(type);\n    if (filter) type = filter, wrap = d3_selection_onFilter;\n    function onRemove() {\n      var l = this[name];\n      if (l) {\n        this.removeEventListener(type, l, l.$);\n        delete this[name];\n      }\n    }\n    function onAdd() {\n      var l = wrap(listener, d3_array(arguments));\n      onRemove.call(this);\n      this.addEventListener(type, this[name] = l, l.$ = capture);\n      l._ = listener;\n    }\n    function removeAll() {\n      var re = new RegExp(\"^__on([^.]+)\" + d3.requote(type) + \"$\"), match;\n      for (var name in this) {\n        if (match = name.match(re)) {\n          var l = this[name];\n          this.removeEventListener(match[1], l, l.$);\n          delete this[name];\n        }\n      }\n    }\n    return i ? listener ? onAdd : onRemove : listener ? d3_noop : removeAll;\n  }\n  var d3_selection_onFilters = d3.map({\n    mouseenter: \"mouseover\",\n    mouseleave: \"mouseout\"\n  });\n  if (d3_document) {\n    d3_selection_onFilters.forEach(function(k) {\n      if (\"on\" + k in d3_document) d3_selection_onFilters.remove(k);\n    });\n  }\n  function d3_selection_onListener(listener, argumentz) {\n    return function(e) {\n      var o = d3.event;\n      d3.event = e;\n      argumentz[0] = this.__data__;\n      try {\n        listener.apply(this, argumentz);\n      } finally {\n        d3.event = o;\n      }\n    };\n  }\n  function d3_selection_onFilter(listener, argumentz) {\n    var l = d3_selection_onListener(listener, argumentz);\n    return function(e) {\n      var target = this, related = e.relatedTarget;\n      if (!related || related !== target && !(related.compareDocumentPosition(target) & 8)) {\n        l.call(target, e);\n      }\n    };\n  }\n  var d3_event_dragSelect, d3_event_dragId = 0;\n  function d3_event_dragSuppress(node) {\n    var name = \".dragsuppress-\" + ++d3_event_dragId, click = \"click\" + name, w = d3.select(d3_window(node)).on(\"touchmove\" + name, d3_eventPreventDefault).on(\"dragstart\" + name, d3_eventPreventDefault).on(\"selectstart\" + name, d3_eventPreventDefault);\n    if (d3_event_dragSelect == null) {\n      d3_event_dragSelect = \"onselectstart\" in node ? false : d3_vendorSymbol(node.style, \"userSelect\");\n    }\n    if (d3_event_dragSelect) {\n      var style = d3_documentElement(node).style, select = style[d3_event_dragSelect];\n      style[d3_event_dragSelect] = \"none\";\n    }\n    return function(suppressClick) {\n      w.on(name, null);\n      if (d3_event_dragSelect) style[d3_event_dragSelect] = select;\n      if (suppressClick) {\n        var off = function() {\n          w.on(click, null);\n        };\n        w.on(click, function() {\n          d3_eventPreventDefault();\n          off();\n        }, true);\n        setTimeout(off, 0);\n      }\n    };\n  }\n  d3.mouse = function(container) {\n    return d3_mousePoint(container, d3_eventSource());\n  };\n  var d3_mouse_bug44083 = this.navigator && /WebKit/.test(this.navigator.userAgent) ? -1 : 0;\n  function d3_mousePoint(container, e) {\n    if (e.changedTouches) e = e.changedTouches[0];\n    var svg = container.ownerSVGElement || container;\n    if (svg.createSVGPoint) {\n      var point = svg.createSVGPoint();\n      if (d3_mouse_bug44083 < 0) {\n        var window = d3_window(container);\n        if (window.scrollX || window.scrollY) {\n          svg = d3.select(\"body\").append(\"svg\").style({\n            position: \"absolute\",\n            top: 0,\n            left: 0,\n            margin: 0,\n            padding: 0,\n            border: \"none\"\n          }, \"important\");\n          var ctm = svg[0][0].getScreenCTM();\n          d3_mouse_bug44083 = !(ctm.f || ctm.e);\n          svg.remove();\n        }\n      }\n      if (d3_mouse_bug44083) point.x = e.pageX, point.y = e.pageY; else point.x = e.clientX, \n      point.y = e.clientY;\n      point = point.matrixTransform(container.getScreenCTM().inverse());\n      return [ point.x, point.y ];\n    }\n    var rect = container.getBoundingClientRect();\n    return [ e.clientX - rect.left - container.clientLeft, e.clientY - rect.top - container.clientTop ];\n  }\n  d3.touch = function(container, touches, identifier) {\n    if (arguments.length < 3) identifier = touches, touches = d3_eventSource().changedTouches;\n    if (touches) for (var i = 0, n = touches.length, touch; i < n; ++i) {\n      if ((touch = touches[i]).identifier === identifier) {\n        return d3_mousePoint(container, touch);\n      }\n    }\n  };\n  d3.behavior.drag = function() {\n    var event = d3_eventDispatch(drag, \"drag\", \"dragstart\", \"dragend\"), origin = null, mousedown = dragstart(d3_noop, d3.mouse, d3_window, \"mousemove\", \"mouseup\"), touchstart = dragstart(d3_behavior_dragTouchId, d3.touch, d3_identity, \"touchmove\", \"touchend\");\n    function drag() {\n      this.on(\"mousedown.drag\", mousedown).on(\"touchstart.drag\", touchstart);\n    }\n    function dragstart(id, position, subject, move, end) {\n      return function() {\n        var that = this, target = d3.event.target.correspondingElement || d3.event.target, parent = that.parentNode, dispatch = event.of(that, arguments), dragged = 0, dragId = id(), dragName = \".drag\" + (dragId == null ? \"\" : \"-\" + dragId), dragOffset, dragSubject = d3.select(subject(target)).on(move + dragName, moved).on(end + dragName, ended), dragRestore = d3_event_dragSuppress(target), position0 = position(parent, dragId);\n        if (origin) {\n          dragOffset = origin.apply(that, arguments);\n          dragOffset = [ dragOffset.x - position0[0], dragOffset.y - position0[1] ];\n        } else {\n          dragOffset = [ 0, 0 ];\n        }\n        dispatch({\n          type: \"dragstart\"\n        });\n        function moved() {\n          var position1 = position(parent, dragId), dx, dy;\n          if (!position1) return;\n          dx = position1[0] - position0[0];\n          dy = position1[1] - position0[1];\n          dragged |= dx | dy;\n          position0 = position1;\n          dispatch({\n            type: \"drag\",\n            x: position1[0] + dragOffset[0],\n            y: position1[1] + dragOffset[1],\n            dx: dx,\n            dy: dy\n          });\n        }\n        function ended() {\n          if (!position(parent, dragId)) return;\n          dragSubject.on(move + dragName, null).on(end + dragName, null);\n          dragRestore(dragged);\n          dispatch({\n            type: \"dragend\"\n          });\n        }\n      };\n    }\n    drag.origin = function(x) {\n      if (!arguments.length) return origin;\n      origin = x;\n      return drag;\n    };\n    return d3.rebind(drag, event, \"on\");\n  };\n  function d3_behavior_dragTouchId() {\n    return d3.event.changedTouches[0].identifier;\n  }\n  d3.touches = function(container, touches) {\n    if (arguments.length < 2) touches = d3_eventSource().touches;\n    return touches ? d3_array(touches).map(function(touch) {\n      var point = d3_mousePoint(container, touch);\n      point.identifier = touch.identifier;\n      return point;\n    }) : [];\n  };\n  var ε = 1e-6, ε2 = ε * ε, π = Math.PI, τ = 2 * π, τε = τ - ε, halfπ = π / 2, d3_radians = π / 180, d3_degrees = 180 / π;\n  function d3_sgn(x) {\n    return x > 0 ? 1 : x < 0 ? -1 : 0;\n  }\n  function d3_cross2d(a, b, c) {\n    return (b[0] - a[0]) * (c[1] - a[1]) - (b[1] - a[1]) * (c[0] - a[0]);\n  }\n  function d3_acos(x) {\n    return x > 1 ? 0 : x < -1 ? π : Math.acos(x);\n  }\n  function d3_asin(x) {\n    return x > 1 ? halfπ : x < -1 ? -halfπ : Math.asin(x);\n  }\n  function d3_sinh(x) {\n    return ((x = Math.exp(x)) - 1 / x) / 2;\n  }\n  function d3_cosh(x) {\n    return ((x = Math.exp(x)) + 1 / x) / 2;\n  }\n  function d3_tanh(x) {\n    return ((x = Math.exp(2 * x)) - 1) / (x + 1);\n  }\n  function d3_haversin(x) {\n    return (x = Math.sin(x / 2)) * x;\n  }\n  var ρ = Math.SQRT2, ρ2 = 2, ρ4 = 4;\n  d3.interpolateZoom = function(p0, p1) {\n    var ux0 = p0[0], uy0 = p0[1], w0 = p0[2], ux1 = p1[0], uy1 = p1[1], w1 = p1[2], dx = ux1 - ux0, dy = uy1 - uy0, d2 = dx * dx + dy * dy, i, S;\n    if (d2 < ε2) {\n      S = Math.log(w1 / w0) / ρ;\n      i = function(t) {\n        return [ ux0 + t * dx, uy0 + t * dy, w0 * Math.exp(ρ * t * S) ];\n      };\n    } else {\n      var d1 = Math.sqrt(d2), b0 = (w1 * w1 - w0 * w0 + ρ4 * d2) / (2 * w0 * ρ2 * d1), b1 = (w1 * w1 - w0 * w0 - ρ4 * d2) / (2 * w1 * ρ2 * d1), r0 = Math.log(Math.sqrt(b0 * b0 + 1) - b0), r1 = Math.log(Math.sqrt(b1 * b1 + 1) - b1);\n      S = (r1 - r0) / ρ;\n      i = function(t) {\n        var s = t * S, coshr0 = d3_cosh(r0), u = w0 / (ρ2 * d1) * (coshr0 * d3_tanh(ρ * s + r0) - d3_sinh(r0));\n        return [ ux0 + u * dx, uy0 + u * dy, w0 * coshr0 / d3_cosh(ρ * s + r0) ];\n      };\n    }\n    i.duration = S * 1e3;\n    return i;\n  };\n  d3.behavior.zoom = function() {\n    var view = {\n      x: 0,\n      y: 0,\n      k: 1\n    }, translate0, center0, center, size = [ 960, 500 ], scaleExtent = d3_behavior_zoomInfinity, duration = 250, zooming = 0, mousedown = \"mousedown.zoom\", mousemove = \"mousemove.zoom\", mouseup = \"mouseup.zoom\", mousewheelTimer, touchstart = \"touchstart.zoom\", touchtime, event = d3_eventDispatch(zoom, \"zoomstart\", \"zoom\", \"zoomend\"), x0, x1, y0, y1;\n    if (!d3_behavior_zoomWheel) {\n      d3_behavior_zoomWheel = \"onwheel\" in d3_document ? (d3_behavior_zoomDelta = function() {\n        return -d3.event.deltaY * (d3.event.deltaMode ? 120 : 1);\n      }, \"wheel\") : \"onmousewheel\" in d3_document ? (d3_behavior_zoomDelta = function() {\n        return d3.event.wheelDelta;\n      }, \"mousewheel\") : (d3_behavior_zoomDelta = function() {\n        return -d3.event.detail;\n      }, \"MozMousePixelScroll\");\n    }\n    function zoom(g) {\n      g.on(mousedown, mousedowned).on(d3_behavior_zoomWheel + \".zoom\", mousewheeled).on(\"dblclick.zoom\", dblclicked).on(touchstart, touchstarted);\n    }\n    zoom.event = function(g) {\n      g.each(function() {\n        var dispatch = event.of(this, arguments), view1 = view;\n        if (d3_transitionInheritId) {\n          d3.select(this).transition().each(\"start.zoom\", function() {\n            view = this.__chart__ || {\n              x: 0,\n              y: 0,\n              k: 1\n            };\n            zoomstarted(dispatch);\n          }).tween(\"zoom:zoom\", function() {\n            var dx = size[0], dy = size[1], cx = center0 ? center0[0] : dx / 2, cy = center0 ? center0[1] : dy / 2, i = d3.interpolateZoom([ (cx - view.x) / view.k, (cy - view.y) / view.k, dx / view.k ], [ (cx - view1.x) / view1.k, (cy - view1.y) / view1.k, dx / view1.k ]);\n            return function(t) {\n              var l = i(t), k = dx / l[2];\n              this.__chart__ = view = {\n                x: cx - l[0] * k,\n                y: cy - l[1] * k,\n                k: k\n              };\n              zoomed(dispatch);\n            };\n          }).each(\"interrupt.zoom\", function() {\n            zoomended(dispatch);\n          }).each(\"end.zoom\", function() {\n            zoomended(dispatch);\n          });\n        } else {\n          this.__chart__ = view;\n          zoomstarted(dispatch);\n          zoomed(dispatch);\n          zoomended(dispatch);\n        }\n      });\n    };\n    zoom.translate = function(_) {\n      if (!arguments.length) return [ view.x, view.y ];\n      view = {\n        x: +_[0],\n        y: +_[1],\n        k: view.k\n      };\n      rescale();\n      return zoom;\n    };\n    zoom.scale = function(_) {\n      if (!arguments.length) return view.k;\n      view = {\n        x: view.x,\n        y: view.y,\n        k: null\n      };\n      scaleTo(+_);\n      rescale();\n      return zoom;\n    };\n    zoom.scaleExtent = function(_) {\n      if (!arguments.length) return scaleExtent;\n      scaleExtent = _ == null ? d3_behavior_zoomInfinity : [ +_[0], +_[1] ];\n      return zoom;\n    };\n    zoom.center = function(_) {\n      if (!arguments.length) return center;\n      center = _ && [ +_[0], +_[1] ];\n      return zoom;\n    };\n    zoom.size = function(_) {\n      if (!arguments.length) return size;\n      size = _ && [ +_[0], +_[1] ];\n      return zoom;\n    };\n    zoom.duration = function(_) {\n      if (!arguments.length) return duration;\n      duration = +_;\n      return zoom;\n    };\n    zoom.x = function(z) {\n      if (!arguments.length) return x1;\n      x1 = z;\n      x0 = z.copy();\n      view = {\n        x: 0,\n        y: 0,\n        k: 1\n      };\n      return zoom;\n    };\n    zoom.y = function(z) {\n      if (!arguments.length) return y1;\n      y1 = z;\n      y0 = z.copy();\n      view = {\n        x: 0,\n        y: 0,\n        k: 1\n      };\n      return zoom;\n    };\n    function location(p) {\n      return [ (p[0] - view.x) / view.k, (p[1] - view.y) / view.k ];\n    }\n    function point(l) {\n      return [ l[0] * view.k + view.x, l[1] * view.k + view.y ];\n    }\n    function scaleTo(s) {\n      view.k = Math.max(scaleExtent[0], Math.min(scaleExtent[1], s));\n    }\n    function translateTo(p, l) {\n      l = point(l);\n      view.x += p[0] - l[0];\n      view.y += p[1] - l[1];\n    }\n    function zoomTo(that, p, l, k) {\n      that.__chart__ = {\n        x: view.x,\n        y: view.y,\n        k: view.k\n      };\n      scaleTo(Math.pow(2, k));\n      translateTo(center0 = p, l);\n      that = d3.select(that);\n      if (duration > 0) that = that.transition().duration(duration);\n      that.call(zoom.event);\n    }\n    function rescale() {\n      if (x1) x1.domain(x0.range().map(function(x) {\n        return (x - view.x) / view.k;\n      }).map(x0.invert));\n      if (y1) y1.domain(y0.range().map(function(y) {\n        return (y - view.y) / view.k;\n      }).map(y0.invert));\n    }\n    function zoomstarted(dispatch) {\n      if (!zooming++) dispatch({\n        type: \"zoomstart\"\n      });\n    }\n    function zoomed(dispatch) {\n      rescale();\n      dispatch({\n        type: \"zoom\",\n        scale: view.k,\n        translate: [ view.x, view.y ]\n      });\n    }\n    function zoomended(dispatch) {\n      if (!--zooming) dispatch({\n        type: \"zoomend\"\n      }), center0 = null;\n    }\n    function mousedowned() {\n      var that = this, dispatch = event.of(that, arguments), dragged = 0, subject = d3.select(d3_window(that)).on(mousemove, moved).on(mouseup, ended), location0 = location(d3.mouse(that)), dragRestore = d3_event_dragSuppress(that);\n      d3_selection_interrupt.call(that);\n      zoomstarted(dispatch);\n      function moved() {\n        dragged = 1;\n        translateTo(d3.mouse(that), location0);\n        zoomed(dispatch);\n      }\n      function ended() {\n        subject.on(mousemove, null).on(mouseup, null);\n        dragRestore(dragged);\n        zoomended(dispatch);\n      }\n    }\n    function touchstarted() {\n      var that = this, dispatch = event.of(that, arguments), locations0 = {}, distance0 = 0, scale0, zoomName = \".zoom-\" + d3.event.changedTouches[0].identifier, touchmove = \"touchmove\" + zoomName, touchend = \"touchend\" + zoomName, targets = [], subject = d3.select(that), dragRestore = d3_event_dragSuppress(that);\n      started();\n      zoomstarted(dispatch);\n      subject.on(mousedown, null).on(touchstart, started);\n      function relocate() {\n        var touches = d3.touches(that);\n        scale0 = view.k;\n        touches.forEach(function(t) {\n          if (t.identifier in locations0) locations0[t.identifier] = location(t);\n        });\n        return touches;\n      }\n      function started() {\n        var target = d3.event.target;\n        d3.select(target).on(touchmove, moved).on(touchend, ended);\n        targets.push(target);\n        var changed = d3.event.changedTouches;\n        for (var i = 0, n = changed.length; i < n; ++i) {\n          locations0[changed[i].identifier] = null;\n        }\n        var touches = relocate(), now = Date.now();\n        if (touches.length === 1) {\n          if (now - touchtime < 500) {\n            var p = touches[0];\n            zoomTo(that, p, locations0[p.identifier], Math.floor(Math.log(view.k) / Math.LN2) + 1);\n            d3_eventPreventDefault();\n          }\n          touchtime = now;\n        } else if (touches.length > 1) {\n          var p = touches[0], q = touches[1], dx = p[0] - q[0], dy = p[1] - q[1];\n          distance0 = dx * dx + dy * dy;\n        }\n      }\n      function moved() {\n        var touches = d3.touches(that), p0, l0, p1, l1;\n        d3_selection_interrupt.call(that);\n        for (var i = 0, n = touches.length; i < n; ++i, l1 = null) {\n          p1 = touches[i];\n          if (l1 = locations0[p1.identifier]) {\n            if (l0) break;\n            p0 = p1, l0 = l1;\n          }\n        }\n        if (l1) {\n          var distance1 = (distance1 = p1[0] - p0[0]) * distance1 + (distance1 = p1[1] - p0[1]) * distance1, scale1 = distance0 && Math.sqrt(distance1 / distance0);\n          p0 = [ (p0[0] + p1[0]) / 2, (p0[1] + p1[1]) / 2 ];\n          l0 = [ (l0[0] + l1[0]) / 2, (l0[1] + l1[1]) / 2 ];\n          scaleTo(scale1 * scale0);\n        }\n        touchtime = null;\n        translateTo(p0, l0);\n        zoomed(dispatch);\n      }\n      function ended() {\n        if (d3.event.touches.length) {\n          var changed = d3.event.changedTouches;\n          for (var i = 0, n = changed.length; i < n; ++i) {\n            delete locations0[changed[i].identifier];\n          }\n          for (var identifier in locations0) {\n            return void relocate();\n          }\n        }\n        d3.selectAll(targets).on(zoomName, null);\n        subject.on(mousedown, mousedowned).on(touchstart, touchstarted);\n        dragRestore();\n        zoomended(dispatch);\n      }\n    }\n    function mousewheeled() {\n      var dispatch = event.of(this, arguments);\n      if (mousewheelTimer) clearTimeout(mousewheelTimer); else d3_selection_interrupt.call(this), \n      translate0 = location(center0 = center || d3.mouse(this)), zoomstarted(dispatch);\n      mousewheelTimer = setTimeout(function() {\n        mousewheelTimer = null;\n        zoomended(dispatch);\n      }, 50);\n      d3_eventPreventDefault();\n      scaleTo(Math.pow(2, d3_behavior_zoomDelta() * .002) * view.k);\n      translateTo(center0, translate0);\n      zoomed(dispatch);\n    }\n    function dblclicked() {\n      var p = d3.mouse(this), k = Math.log(view.k) / Math.LN2;\n      zoomTo(this, p, location(p), d3.event.shiftKey ? Math.ceil(k) - 1 : Math.floor(k) + 1);\n    }\n    return d3.rebind(zoom, event, \"on\");\n  };\n  var d3_behavior_zoomInfinity = [ 0, Infinity ], d3_behavior_zoomDelta, d3_behavior_zoomWheel;\n  d3.color = d3_color;\n  function d3_color() {}\n  d3_color.prototype.toString = function() {\n    return this.rgb() + \"\";\n  };\n  d3.hsl = d3_hsl;\n  function d3_hsl(h, s, l) {\n    return this instanceof d3_hsl ? void (this.h = +h, this.s = +s, this.l = +l) : arguments.length < 2 ? h instanceof d3_hsl ? new d3_hsl(h.h, h.s, h.l) : d3_rgb_parse(\"\" + h, d3_rgb_hsl, d3_hsl) : new d3_hsl(h, s, l);\n  }\n  var d3_hslPrototype = d3_hsl.prototype = new d3_color();\n  d3_hslPrototype.brighter = function(k) {\n    k = Math.pow(.7, arguments.length ? k : 1);\n    return new d3_hsl(this.h, this.s, this.l / k);\n  };\n  d3_hslPrototype.darker = function(k) {\n    k = Math.pow(.7, arguments.length ? k : 1);\n    return new d3_hsl(this.h, this.s, k * this.l);\n  };\n  d3_hslPrototype.rgb = function() {\n    return d3_hsl_rgb(this.h, this.s, this.l);\n  };\n  function d3_hsl_rgb(h, s, l) {\n    var m1, m2;\n    h = isNaN(h) ? 0 : (h %= 360) < 0 ? h + 360 : h;\n    s = isNaN(s) ? 0 : s < 0 ? 0 : s > 1 ? 1 : s;\n    l = l < 0 ? 0 : l > 1 ? 1 : l;\n    m2 = l <= .5 ? l * (1 + s) : l + s - l * s;\n    m1 = 2 * l - m2;\n    function v(h) {\n      if (h > 360) h -= 360; else if (h < 0) h += 360;\n      if (h < 60) return m1 + (m2 - m1) * h / 60;\n      if (h < 180) return m2;\n      if (h < 240) return m1 + (m2 - m1) * (240 - h) / 60;\n      return m1;\n    }\n    function vv(h) {\n      return Math.round(v(h) * 255);\n    }\n    return new d3_rgb(vv(h + 120), vv(h), vv(h - 120));\n  }\n  d3.hcl = d3_hcl;\n  function d3_hcl(h, c, l) {\n    return this instanceof d3_hcl ? void (this.h = +h, this.c = +c, this.l = +l) : arguments.length < 2 ? h instanceof d3_hcl ? new d3_hcl(h.h, h.c, h.l) : h instanceof d3_lab ? d3_lab_hcl(h.l, h.a, h.b) : d3_lab_hcl((h = d3_rgb_lab((h = d3.rgb(h)).r, h.g, h.b)).l, h.a, h.b) : new d3_hcl(h, c, l);\n  }\n  var d3_hclPrototype = d3_hcl.prototype = new d3_color();\n  d3_hclPrototype.brighter = function(k) {\n    return new d3_hcl(this.h, this.c, Math.min(100, this.l + d3_lab_K * (arguments.length ? k : 1)));\n  };\n  d3_hclPrototype.darker = function(k) {\n    return new d3_hcl(this.h, this.c, Math.max(0, this.l - d3_lab_K * (arguments.length ? k : 1)));\n  };\n  d3_hclPrototype.rgb = function() {\n    return d3_hcl_lab(this.h, this.c, this.l).rgb();\n  };\n  function d3_hcl_lab(h, c, l) {\n    if (isNaN(h)) h = 0;\n    if (isNaN(c)) c = 0;\n    return new d3_lab(l, Math.cos(h *= d3_radians) * c, Math.sin(h) * c);\n  }\n  d3.lab = d3_lab;\n  function d3_lab(l, a, b) {\n    return this instanceof d3_lab ? void (this.l = +l, this.a = +a, this.b = +b) : arguments.length < 2 ? l instanceof d3_lab ? new d3_lab(l.l, l.a, l.b) : l instanceof d3_hcl ? d3_hcl_lab(l.h, l.c, l.l) : d3_rgb_lab((l = d3_rgb(l)).r, l.g, l.b) : new d3_lab(l, a, b);\n  }\n  var d3_lab_K = 18;\n  var d3_lab_X = .95047, d3_lab_Y = 1, d3_lab_Z = 1.08883;\n  var d3_labPrototype = d3_lab.prototype = new d3_color();\n  d3_labPrototype.brighter = function(k) {\n    return new d3_lab(Math.min(100, this.l + d3_lab_K * (arguments.length ? k : 1)), this.a, this.b);\n  };\n  d3_labPrototype.darker = function(k) {\n    return new d3_lab(Math.max(0, this.l - d3_lab_K * (arguments.length ? k : 1)), this.a, this.b);\n  };\n  d3_labPrototype.rgb = function() {\n    return d3_lab_rgb(this.l, this.a, this.b);\n  };\n  function d3_lab_rgb(l, a, b) {\n    var y = (l + 16) / 116, x = y + a / 500, z = y - b / 200;\n    x = d3_lab_xyz(x) * d3_lab_X;\n    y = d3_lab_xyz(y) * d3_lab_Y;\n    z = d3_lab_xyz(z) * d3_lab_Z;\n    return new d3_rgb(d3_xyz_rgb(3.2404542 * x - 1.5371385 * y - .4985314 * z), d3_xyz_rgb(-.969266 * x + 1.8760108 * y + .041556 * z), d3_xyz_rgb(.0556434 * x - .2040259 * y + 1.0572252 * z));\n  }\n  function d3_lab_hcl(l, a, b) {\n    return l > 0 ? new d3_hcl(Math.atan2(b, a) * d3_degrees, Math.sqrt(a * a + b * b), l) : new d3_hcl(NaN, NaN, l);\n  }\n  function d3_lab_xyz(x) {\n    return x > .206893034 ? x * x * x : (x - 4 / 29) / 7.787037;\n  }\n  function d3_xyz_lab(x) {\n    return x > .008856 ? Math.pow(x, 1 / 3) : 7.787037 * x + 4 / 29;\n  }\n  function d3_xyz_rgb(r) {\n    return Math.round(255 * (r <= .00304 ? 12.92 * r : 1.055 * Math.pow(r, 1 / 2.4) - .055));\n  }\n  d3.rgb = d3_rgb;\n  function d3_rgb(r, g, b) {\n    return this instanceof d3_rgb ? void (this.r = ~~r, this.g = ~~g, this.b = ~~b) : arguments.length < 2 ? r instanceof d3_rgb ? new d3_rgb(r.r, r.g, r.b) : d3_rgb_parse(\"\" + r, d3_rgb, d3_hsl_rgb) : new d3_rgb(r, g, b);\n  }\n  function d3_rgbNumber(value) {\n    return new d3_rgb(value >> 16, value >> 8 & 255, value & 255);\n  }\n  function d3_rgbString(value) {\n    return d3_rgbNumber(value) + \"\";\n  }\n  var d3_rgbPrototype = d3_rgb.prototype = new d3_color();\n  d3_rgbPrototype.brighter = function(k) {\n    k = Math.pow(.7, arguments.length ? k : 1);\n    var r = this.r, g = this.g, b = this.b, i = 30;\n    if (!r && !g && !b) return new d3_rgb(i, i, i);\n    if (r && r < i) r = i;\n    if (g && g < i) g = i;\n    if (b && b < i) b = i;\n    return new d3_rgb(Math.min(255, r / k), Math.min(255, g / k), Math.min(255, b / k));\n  };\n  d3_rgbPrototype.darker = function(k) {\n    k = Math.pow(.7, arguments.length ? k : 1);\n    return new d3_rgb(k * this.r, k * this.g, k * this.b);\n  };\n  d3_rgbPrototype.hsl = function() {\n    return d3_rgb_hsl(this.r, this.g, this.b);\n  };\n  d3_rgbPrototype.toString = function() {\n    return \"#\" + d3_rgb_hex(this.r) + d3_rgb_hex(this.g) + d3_rgb_hex(this.b);\n  };\n  function d3_rgb_hex(v) {\n    return v < 16 ? \"0\" + Math.max(0, v).toString(16) : Math.min(255, v).toString(16);\n  }\n  function d3_rgb_parse(format, rgb, hsl) {\n    var r = 0, g = 0, b = 0, m1, m2, color;\n    m1 = /([a-z]+)\\((.*)\\)/.exec(format = format.toLowerCase());\n    if (m1) {\n      m2 = m1[2].split(\",\");\n      switch (m1[1]) {\n       case \"hsl\":\n        {\n          return hsl(parseFloat(m2[0]), parseFloat(m2[1]) / 100, parseFloat(m2[2]) / 100);\n        }\n\n       case \"rgb\":\n        {\n          return rgb(d3_rgb_parseNumber(m2[0]), d3_rgb_parseNumber(m2[1]), d3_rgb_parseNumber(m2[2]));\n        }\n      }\n    }\n    if (color = d3_rgb_names.get(format)) {\n      return rgb(color.r, color.g, color.b);\n    }\n    if (format != null && format.charAt(0) === \"#\" && !isNaN(color = parseInt(format.slice(1), 16))) {\n      if (format.length === 4) {\n        r = (color & 3840) >> 4;\n        r = r >> 4 | r;\n        g = color & 240;\n        g = g >> 4 | g;\n        b = color & 15;\n        b = b << 4 | b;\n      } else if (format.length === 7) {\n        r = (color & 16711680) >> 16;\n        g = (color & 65280) >> 8;\n        b = color & 255;\n      }\n    }\n    return rgb(r, g, b);\n  }\n  function d3_rgb_hsl(r, g, b) {\n    var min = Math.min(r /= 255, g /= 255, b /= 255), max = Math.max(r, g, b), d = max - min, h, s, l = (max + min) / 2;\n    if (d) {\n      s = l < .5 ? d / (max + min) : d / (2 - max - min);\n      if (r == max) h = (g - b) / d + (g < b ? 6 : 0); else if (g == max) h = (b - r) / d + 2; else h = (r - g) / d + 4;\n      h *= 60;\n    } else {\n      h = NaN;\n      s = l > 0 && l < 1 ? 0 : h;\n    }\n    return new d3_hsl(h, s, l);\n  }\n  function d3_rgb_lab(r, g, b) {\n    r = d3_rgb_xyz(r);\n    g = d3_rgb_xyz(g);\n    b = d3_rgb_xyz(b);\n    var x = d3_xyz_lab((.4124564 * r + .3575761 * g + .1804375 * b) / d3_lab_X), y = d3_xyz_lab((.2126729 * r + .7151522 * g + .072175 * b) / d3_lab_Y), z = d3_xyz_lab((.0193339 * r + .119192 * g + .9503041 * b) / d3_lab_Z);\n    return d3_lab(116 * y - 16, 500 * (x - y), 200 * (y - z));\n  }\n  function d3_rgb_xyz(r) {\n    return (r /= 255) <= .04045 ? r / 12.92 : Math.pow((r + .055) / 1.055, 2.4);\n  }\n  function d3_rgb_parseNumber(c) {\n    var f = parseFloat(c);\n    return c.charAt(c.length - 1) === \"%\" ? Math.round(f * 2.55) : f;\n  }\n  var d3_rgb_names = d3.map({\n    aliceblue: 15792383,\n    antiquewhite: 16444375,\n    aqua: 65535,\n    aquamarine: 8388564,\n    azure: 15794175,\n    beige: 16119260,\n    bisque: 16770244,\n    black: 0,\n    blanchedalmond: 16772045,\n    blue: 255,\n    blueviolet: 9055202,\n    brown: 10824234,\n    burlywood: 14596231,\n    cadetblue: 6266528,\n    chartreuse: 8388352,\n    chocolate: 13789470,\n    coral: 16744272,\n    cornflowerblue: 6591981,\n    cornsilk: 16775388,\n    crimson: 14423100,\n    cyan: 65535,\n    darkblue: 139,\n    darkcyan: 35723,\n    darkgoldenrod: 12092939,\n    darkgray: 11119017,\n    darkgreen: 25600,\n    darkgrey: 11119017,\n    darkkhaki: 12433259,\n    darkmagenta: 9109643,\n    darkolivegreen: 5597999,\n    darkorange: 16747520,\n    darkorchid: 10040012,\n    darkred: 9109504,\n    darksalmon: 15308410,\n    darkseagreen: 9419919,\n    darkslateblue: 4734347,\n    darkslategray: 3100495,\n    darkslategrey: 3100495,\n    darkturquoise: 52945,\n    darkviolet: 9699539,\n    deeppink: 16716947,\n    deepskyblue: 49151,\n    dimgray: 6908265,\n    dimgrey: 6908265,\n    dodgerblue: 2003199,\n    firebrick: 11674146,\n    floralwhite: 16775920,\n    forestgreen: 2263842,\n    fuchsia: 16711935,\n    gainsboro: 14474460,\n    ghostwhite: 16316671,\n    gold: 16766720,\n    goldenrod: 14329120,\n    gray: 8421504,\n    green: 32768,\n    greenyellow: 11403055,\n    grey: 8421504,\n    honeydew: 15794160,\n    hotpink: 16738740,\n    indianred: 13458524,\n    indigo: 4915330,\n    ivory: 16777200,\n    khaki: 15787660,\n    lavender: 15132410,\n    lavenderblush: 16773365,\n    lawngreen: 8190976,\n    lemonchiffon: 16775885,\n    lightblue: 11393254,\n    lightcoral: 15761536,\n    lightcyan: 14745599,\n    lightgoldenrodyellow: 16448210,\n    lightgray: 13882323,\n    lightgreen: 9498256,\n    lightgrey: 13882323,\n    lightpink: 16758465,\n    lightsalmon: 16752762,\n    lightseagreen: 2142890,\n    lightskyblue: 8900346,\n    lightslategray: 7833753,\n    lightslategrey: 7833753,\n    lightsteelblue: 11584734,\n    lightyellow: 16777184,\n    lime: 65280,\n    limegreen: 3329330,\n    linen: 16445670,\n    magenta: 16711935,\n    maroon: 8388608,\n    mediumaquamarine: 6737322,\n    mediumblue: 205,\n    mediumorchid: 12211667,\n    mediumpurple: 9662683,\n    mediumseagreen: 3978097,\n    mediumslateblue: 8087790,\n    mediumspringgreen: 64154,\n    mediumturquoise: 4772300,\n    mediumvioletred: 13047173,\n    midnightblue: 1644912,\n    mintcream: 16121850,\n    mistyrose: 16770273,\n    moccasin: 16770229,\n    navajowhite: 16768685,\n    navy: 128,\n    oldlace: 16643558,\n    olive: 8421376,\n    olivedrab: 7048739,\n    orange: 16753920,\n    orangered: 16729344,\n    orchid: 14315734,\n    palegoldenrod: 15657130,\n    palegreen: 10025880,\n    paleturquoise: 11529966,\n    palevioletred: 14381203,\n    papayawhip: 16773077,\n    peachpuff: 16767673,\n    peru: 13468991,\n    pink: 16761035,\n    plum: 14524637,\n    powderblue: 11591910,\n    purple: 8388736,\n    rebeccapurple: 6697881,\n    red: 16711680,\n    rosybrown: 12357519,\n    royalblue: 4286945,\n    saddlebrown: 9127187,\n    salmon: 16416882,\n    sandybrown: 16032864,\n    seagreen: 3050327,\n    seashell: 16774638,\n    sienna: 10506797,\n    silver: 12632256,\n    skyblue: 8900331,\n    slateblue: 6970061,\n    slategray: 7372944,\n    slategrey: 7372944,\n    snow: 16775930,\n    springgreen: 65407,\n    steelblue: 4620980,\n    tan: 13808780,\n    teal: 32896,\n    thistle: 14204888,\n    tomato: 16737095,\n    turquoise: 4251856,\n    violet: 15631086,\n    wheat: 16113331,\n    white: 16777215,\n    whitesmoke: 16119285,\n    yellow: 16776960,\n    yellowgreen: 10145074\n  });\n  d3_rgb_names.forEach(function(key, value) {\n    d3_rgb_names.set(key, d3_rgbNumber(value));\n  });\n  function d3_functor(v) {\n    return typeof v === \"function\" ? v : function() {\n      return v;\n    };\n  }\n  d3.functor = d3_functor;\n  d3.xhr = d3_xhrType(d3_identity);\n  function d3_xhrType(response) {\n    return function(url, mimeType, callback) {\n      if (arguments.length === 2 && typeof mimeType === \"function\") callback = mimeType, \n      mimeType = null;\n      return d3_xhr(url, mimeType, response, callback);\n    };\n  }\n  function d3_xhr(url, mimeType, response, callback) {\n    var xhr = {}, dispatch = d3.dispatch(\"beforesend\", \"progress\", \"load\", \"error\"), headers = {}, request = new XMLHttpRequest(), responseType = null;\n    if (this.XDomainRequest && !(\"withCredentials\" in request) && /^(http(s)?:)?\\/\\//.test(url)) request = new XDomainRequest();\n    \"onload\" in request ? request.onload = request.onerror = respond : request.onreadystatechange = function() {\n      request.readyState > 3 && respond();\n    };\n    function respond() {\n      var status = request.status, result;\n      if (!status && d3_xhrHasResponse(request) || status >= 200 && status < 300 || status === 304) {\n        try {\n          result = response.call(xhr, request);\n        } catch (e) {\n          dispatch.error.call(xhr, e);\n          return;\n        }\n        dispatch.load.call(xhr, result);\n      } else {\n        dispatch.error.call(xhr, request);\n      }\n    }\n    request.onprogress = function(event) {\n      var o = d3.event;\n      d3.event = event;\n      try {\n        dispatch.progress.call(xhr, request);\n      } finally {\n        d3.event = o;\n      }\n    };\n    xhr.header = function(name, value) {\n      name = (name + \"\").toLowerCase();\n      if (arguments.length < 2) return headers[name];\n      if (value == null) delete headers[name]; else headers[name] = value + \"\";\n      return xhr;\n    };\n    xhr.mimeType = function(value) {\n      if (!arguments.length) return mimeType;\n      mimeType = value == null ? null : value + \"\";\n      return xhr;\n    };\n    xhr.responseType = function(value) {\n      if (!arguments.length) return responseType;\n      responseType = value;\n      return xhr;\n    };\n    xhr.response = function(value) {\n      response = value;\n      return xhr;\n    };\n    [ \"get\", \"post\" ].forEach(function(method) {\n      xhr[method] = function() {\n        return xhr.send.apply(xhr, [ method ].concat(d3_array(arguments)));\n      };\n    });\n    xhr.send = function(method, data, callback) {\n      if (arguments.length === 2 && typeof data === \"function\") callback = data, data = null;\n      request.open(method, url, true);\n      if (mimeType != null && !(\"accept\" in headers)) headers[\"accept\"] = mimeType + \",*/*\";\n      if (request.setRequestHeader) for (var name in headers) request.setRequestHeader(name, headers[name]);\n      if (mimeType != null && request.overrideMimeType) request.overrideMimeType(mimeType);\n      if (responseType != null) request.responseType = responseType;\n      if (callback != null) xhr.on(\"error\", callback).on(\"load\", function(request) {\n        callback(null, request);\n      });\n      dispatch.beforesend.call(xhr, request);\n      request.send(data == null ? null : data);\n      return xhr;\n    };\n    xhr.abort = function() {\n      request.abort();\n      return xhr;\n    };\n    d3.rebind(xhr, dispatch, \"on\");\n    return callback == null ? xhr : xhr.get(d3_xhr_fixCallback(callback));\n  }\n  function d3_xhr_fixCallback(callback) {\n    return callback.length === 1 ? function(error, request) {\n      callback(error == null ? request : null);\n    } : callback;\n  }\n  function d3_xhrHasResponse(request) {\n    var type = request.responseType;\n    return type && type !== \"text\" ? request.response : request.responseText;\n  }\n  d3.dsv = function(delimiter, mimeType) {\n    var reFormat = new RegExp('[\"' + delimiter + \"\\n]\"), delimiterCode = delimiter.charCodeAt(0);\n    function dsv(url, row, callback) {\n      if (arguments.length < 3) callback = row, row = null;\n      var xhr = d3_xhr(url, mimeType, row == null ? response : typedResponse(row), callback);\n      xhr.row = function(_) {\n        return arguments.length ? xhr.response((row = _) == null ? response : typedResponse(_)) : row;\n      };\n      return xhr;\n    }\n    function response(request) {\n      return dsv.parse(request.responseText);\n    }\n    function typedResponse(f) {\n      return function(request) {\n        return dsv.parse(request.responseText, f);\n      };\n    }\n    dsv.parse = function(text, f) {\n      var o;\n      return dsv.parseRows(text, function(row, i) {\n        if (o) return o(row, i - 1);\n        var a = new Function(\"d\", \"return {\" + row.map(function(name, i) {\n          return JSON.stringify(name) + \": d[\" + i + \"]\";\n        }).join(\",\") + \"}\");\n        o = f ? function(row, i) {\n          return f(a(row), i);\n        } : a;\n      });\n    };\n    dsv.parseRows = function(text, f) {\n      var EOL = {}, EOF = {}, rows = [], N = text.length, I = 0, n = 0, t, eol;\n      function token() {\n        if (I >= N) return EOF;\n        if (eol) return eol = false, EOL;\n        var j = I;\n        if (text.charCodeAt(j) === 34) {\n          var i = j;\n          while (i++ < N) {\n            if (text.charCodeAt(i) === 34) {\n              if (text.charCodeAt(i + 1) !== 34) break;\n              ++i;\n            }\n          }\n          I = i + 2;\n          var c = text.charCodeAt(i + 1);\n          if (c === 13) {\n            eol = true;\n            if (text.charCodeAt(i + 2) === 10) ++I;\n          } else if (c === 10) {\n            eol = true;\n          }\n          return text.slice(j + 1, i).replace(/\"\"/g, '\"');\n        }\n        while (I < N) {\n          var c = text.charCodeAt(I++), k = 1;\n          if (c === 10) eol = true; else if (c === 13) {\n            eol = true;\n            if (text.charCodeAt(I) === 10) ++I, ++k;\n          } else if (c !== delimiterCode) continue;\n          return text.slice(j, I - k);\n        }\n        return text.slice(j);\n      }\n      while ((t = token()) !== EOF) {\n        var a = [];\n        while (t !== EOL && t !== EOF) {\n          a.push(t);\n          t = token();\n        }\n        if (f && (a = f(a, n++)) == null) continue;\n        rows.push(a);\n      }\n      return rows;\n    };\n    dsv.format = function(rows) {\n      if (Array.isArray(rows[0])) return dsv.formatRows(rows);\n      var fieldSet = new d3_Set(), fields = [];\n      rows.forEach(function(row) {\n        for (var field in row) {\n          if (!fieldSet.has(field)) {\n            fields.push(fieldSet.add(field));\n          }\n        }\n      });\n      return [ fields.map(formatValue).join(delimiter) ].concat(rows.map(function(row) {\n        return fields.map(function(field) {\n          return formatValue(row[field]);\n        }).join(delimiter);\n      })).join(\"\\n\");\n    };\n    dsv.formatRows = function(rows) {\n      return rows.map(formatRow).join(\"\\n\");\n    };\n    function formatRow(row) {\n      return row.map(formatValue).join(delimiter);\n    }\n    function formatValue(text) {\n      return reFormat.test(text) ? '\"' + text.replace(/\\\"/g, '\"\"') + '\"' : text;\n    }\n    return dsv;\n  };\n  d3.csv = d3.dsv(\",\", \"text/csv\");\n  d3.tsv = d3.dsv(\"\t\", \"text/tab-separated-values\");\n  var d3_timer_queueHead, d3_timer_queueTail, d3_timer_interval, d3_timer_timeout, d3_timer_frame = this[d3_vendorSymbol(this, \"requestAnimationFrame\")] || function(callback) {\n    setTimeout(callback, 17);\n  };\n  d3.timer = function() {\n    d3_timer.apply(this, arguments);\n  };\n  function d3_timer(callback, delay, then) {\n    var n = arguments.length;\n    if (n < 2) delay = 0;\n    if (n < 3) then = Date.now();\n    var time = then + delay, timer = {\n      c: callback,\n      t: time,\n      n: null\n    };\n    if (d3_timer_queueTail) d3_timer_queueTail.n = timer; else d3_timer_queueHead = timer;\n    d3_timer_queueTail = timer;\n    if (!d3_timer_interval) {\n      d3_timer_timeout = clearTimeout(d3_timer_timeout);\n      d3_timer_interval = 1;\n      d3_timer_frame(d3_timer_step);\n    }\n    return timer;\n  }\n  function d3_timer_step() {\n    var now = d3_timer_mark(), delay = d3_timer_sweep() - now;\n    if (delay > 24) {\n      if (isFinite(delay)) {\n        clearTimeout(d3_timer_timeout);\n        d3_timer_timeout = setTimeout(d3_timer_step, delay);\n      }\n      d3_timer_interval = 0;\n    } else {\n      d3_timer_interval = 1;\n      d3_timer_frame(d3_timer_step);\n    }\n  }\n  d3.timer.flush = function() {\n    d3_timer_mark();\n    d3_timer_sweep();\n  };\n  function d3_timer_mark() {\n    var now = Date.now(), timer = d3_timer_queueHead;\n    while (timer) {\n      if (now >= timer.t && timer.c(now - timer.t)) timer.c = null;\n      timer = timer.n;\n    }\n    return now;\n  }\n  function d3_timer_sweep() {\n    var t0, t1 = d3_timer_queueHead, time = Infinity;\n    while (t1) {\n      if (t1.c) {\n        if (t1.t < time) time = t1.t;\n        t1 = (t0 = t1).n;\n      } else {\n        t1 = t0 ? t0.n = t1.n : d3_timer_queueHead = t1.n;\n      }\n    }\n    d3_timer_queueTail = t0;\n    return time;\n  }\n  function d3_format_precision(x, p) {\n    return p - (x ? Math.ceil(Math.log(x) / Math.LN10) : 1);\n  }\n  d3.round = function(x, n) {\n    return n ? Math.round(x * (n = Math.pow(10, n))) / n : Math.round(x);\n  };\n  var d3_formatPrefixes = [ \"y\", \"z\", \"a\", \"f\", \"p\", \"n\", \"µ\", \"m\", \"\", \"k\", \"M\", \"G\", \"T\", \"P\", \"E\", \"Z\", \"Y\" ].map(d3_formatPrefix);\n  d3.formatPrefix = function(value, precision) {\n    var i = 0;\n    if (value = +value) {\n      if (value < 0) value *= -1;\n      if (precision) value = d3.round(value, d3_format_precision(value, precision));\n      i = 1 + Math.floor(1e-12 + Math.log(value) / Math.LN10);\n      i = Math.max(-24, Math.min(24, Math.floor((i - 1) / 3) * 3));\n    }\n    return d3_formatPrefixes[8 + i / 3];\n  };\n  function d3_formatPrefix(d, i) {\n    var k = Math.pow(10, abs(8 - i) * 3);\n    return {\n      scale: i > 8 ? function(d) {\n        return d / k;\n      } : function(d) {\n        return d * k;\n      },\n      symbol: d\n    };\n  }\n  function d3_locale_numberFormat(locale) {\n    var locale_decimal = locale.decimal, locale_thousands = locale.thousands, locale_grouping = locale.grouping, locale_currency = locale.currency, formatGroup = locale_grouping && locale_thousands ? function(value, width) {\n      var i = value.length, t = [], j = 0, g = locale_grouping[0], length = 0;\n      while (i > 0 && g > 0) {\n        if (length + g + 1 > width) g = Math.max(1, width - length);\n        t.push(value.substring(i -= g, i + g));\n        if ((length += g + 1) > width) break;\n        g = locale_grouping[j = (j + 1) % locale_grouping.length];\n      }\n      return t.reverse().join(locale_thousands);\n    } : d3_identity;\n    return function(specifier) {\n      var match = d3_format_re.exec(specifier), fill = match[1] || \" \", align = match[2] || \">\", sign = match[3] || \"-\", symbol = match[4] || \"\", zfill = match[5], width = +match[6], comma = match[7], precision = match[8], type = match[9], scale = 1, prefix = \"\", suffix = \"\", integer = false, exponent = true;\n      if (precision) precision = +precision.substring(1);\n      if (zfill || fill === \"0\" && align === \"=\") {\n        zfill = fill = \"0\";\n        align = \"=\";\n      }\n      switch (type) {\n       case \"n\":\n        comma = true;\n        type = \"g\";\n        break;\n\n       case \"%\":\n        scale = 100;\n        suffix = \"%\";\n        type = \"f\";\n        break;\n\n       case \"p\":\n        scale = 100;\n        suffix = \"%\";\n        type = \"r\";\n        break;\n\n       case \"b\":\n       case \"o\":\n       case \"x\":\n       case \"X\":\n        if (symbol === \"#\") prefix = \"0\" + type.toLowerCase();\n\n       case \"c\":\n        exponent = false;\n\n       case \"d\":\n        integer = true;\n        precision = 0;\n        break;\n\n       case \"s\":\n        scale = -1;\n        type = \"r\";\n        break;\n      }\n      if (symbol === \"$\") prefix = locale_currency[0], suffix = locale_currency[1];\n      if (type == \"r\" && !precision) type = \"g\";\n      if (precision != null) {\n        if (type == \"g\") precision = Math.max(1, Math.min(21, precision)); else if (type == \"e\" || type == \"f\") precision = Math.max(0, Math.min(20, precision));\n      }\n      type = d3_format_types.get(type) || d3_format_typeDefault;\n      var zcomma = zfill && comma;\n      return function(value) {\n        var fullSuffix = suffix;\n        if (integer && value % 1) return \"\";\n        var negative = value < 0 || value === 0 && 1 / value < 0 ? (value = -value, \"-\") : sign === \"-\" ? \"\" : sign;\n        if (scale < 0) {\n          var unit = d3.formatPrefix(value, precision);\n          value = unit.scale(value);\n          fullSuffix = unit.symbol + suffix;\n        } else {\n          value *= scale;\n        }\n        value = type(value, precision);\n        var i = value.lastIndexOf(\".\"), before, after;\n        if (i < 0) {\n          var j = exponent ? value.lastIndexOf(\"e\") : -1;\n          if (j < 0) before = value, after = \"\"; else before = value.substring(0, j), after = value.substring(j);\n        } else {\n          before = value.substring(0, i);\n          after = locale_decimal + value.substring(i + 1);\n        }\n        if (!zfill && comma) before = formatGroup(before, Infinity);\n        var length = prefix.length + before.length + after.length + (zcomma ? 0 : negative.length), padding = length < width ? new Array(length = width - length + 1).join(fill) : \"\";\n        if (zcomma) before = formatGroup(padding + before, padding.length ? width - after.length : Infinity);\n        negative += prefix;\n        value = before + after;\n        return (align === \"<\" ? negative + value + padding : align === \">\" ? padding + negative + value : align === \"^\" ? padding.substring(0, length >>= 1) + negative + value + padding.substring(length) : negative + (zcomma ? value : padding + value)) + fullSuffix;\n      };\n    };\n  }\n  var d3_format_re = /(?:([^{])?([<>=^]))?([+\\- ])?([$#])?(0)?(\\d+)?(,)?(\\.-?\\d+)?([a-z%])?/i;\n  var d3_format_types = d3.map({\n    b: function(x) {\n      return x.toString(2);\n    },\n    c: function(x) {\n      return String.fromCharCode(x);\n    },\n    o: function(x) {\n      return x.toString(8);\n    },\n    x: function(x) {\n      return x.toString(16);\n    },\n    X: function(x) {\n      return x.toString(16).toUpperCase();\n    },\n    g: function(x, p) {\n      return x.toPrecision(p);\n    },\n    e: function(x, p) {\n      return x.toExponential(p);\n    },\n    f: function(x, p) {\n      return x.toFixed(p);\n    },\n    r: function(x, p) {\n      return (x = d3.round(x, d3_format_precision(x, p))).toFixed(Math.max(0, Math.min(20, d3_format_precision(x * (1 + 1e-15), p))));\n    }\n  });\n  function d3_format_typeDefault(x) {\n    return x + \"\";\n  }\n  var d3_time = d3.time = {}, d3_date = Date;\n  function d3_date_utc() {\n    this._ = new Date(arguments.length > 1 ? Date.UTC.apply(this, arguments) : arguments[0]);\n  }\n  d3_date_utc.prototype = {\n    getDate: function() {\n      return this._.getUTCDate();\n    },\n    getDay: function() {\n      return this._.getUTCDay();\n    },\n    getFullYear: function() {\n      return this._.getUTCFullYear();\n    },\n    getHours: function() {\n      return this._.getUTCHours();\n    },\n    getMilliseconds: function() {\n      return this._.getUTCMilliseconds();\n    },\n    getMinutes: function() {\n      return this._.getUTCMinutes();\n    },\n    getMonth: function() {\n      return this._.getUTCMonth();\n    },\n    getSeconds: function() {\n      return this._.getUTCSeconds();\n    },\n    getTime: function() {\n      return this._.getTime();\n    },\n    getTimezoneOffset: function() {\n      return 0;\n    },\n    valueOf: function() {\n      return this._.valueOf();\n    },\n    setDate: function() {\n      d3_time_prototype.setUTCDate.apply(this._, arguments);\n    },\n    setDay: function() {\n      d3_time_prototype.setUTCDay.apply(this._, arguments);\n    },\n    setFullYear: function() {\n      d3_time_prototype.setUTCFullYear.apply(this._, arguments);\n    },\n    setHours: function() {\n      d3_time_prototype.setUTCHours.apply(this._, arguments);\n    },\n    setMilliseconds: function() {\n      d3_time_prototype.setUTCMilliseconds.apply(this._, arguments);\n    },\n    setMinutes: function() {\n      d3_time_prototype.setUTCMinutes.apply(this._, arguments);\n    },\n    setMonth: function() {\n      d3_time_prototype.setUTCMonth.apply(this._, arguments);\n    },\n    setSeconds: function() {\n      d3_time_prototype.setUTCSeconds.apply(this._, arguments);\n    },\n    setTime: function() {\n      d3_time_prototype.setTime.apply(this._, arguments);\n    }\n  };\n  var d3_time_prototype = Date.prototype;\n  function d3_time_interval(local, step, number) {\n    function round(date) {\n      var d0 = local(date), d1 = offset(d0, 1);\n      return date - d0 < d1 - date ? d0 : d1;\n    }\n    function ceil(date) {\n      step(date = local(new d3_date(date - 1)), 1);\n      return date;\n    }\n    function offset(date, k) {\n      step(date = new d3_date(+date), k);\n      return date;\n    }\n    function range(t0, t1, dt) {\n      var time = ceil(t0), times = [];\n      if (dt > 1) {\n        while (time < t1) {\n          if (!(number(time) % dt)) times.push(new Date(+time));\n          step(time, 1);\n        }\n      } else {\n        while (time < t1) times.push(new Date(+time)), step(time, 1);\n      }\n      return times;\n    }\n    function range_utc(t0, t1, dt) {\n      try {\n        d3_date = d3_date_utc;\n        var utc = new d3_date_utc();\n        utc._ = t0;\n        return range(utc, t1, dt);\n      } finally {\n        d3_date = Date;\n      }\n    }\n    local.floor = local;\n    local.round = round;\n    local.ceil = ceil;\n    local.offset = offset;\n    local.range = range;\n    var utc = local.utc = d3_time_interval_utc(local);\n    utc.floor = utc;\n    utc.round = d3_time_interval_utc(round);\n    utc.ceil = d3_time_interval_utc(ceil);\n    utc.offset = d3_time_interval_utc(offset);\n    utc.range = range_utc;\n    return local;\n  }\n  function d3_time_interval_utc(method) {\n    return function(date, k) {\n      try {\n        d3_date = d3_date_utc;\n        var utc = new d3_date_utc();\n        utc._ = date;\n        return method(utc, k)._;\n      } finally {\n        d3_date = Date;\n      }\n    };\n  }\n  d3_time.year = d3_time_interval(function(date) {\n    date = d3_time.day(date);\n    date.setMonth(0, 1);\n    return date;\n  }, function(date, offset) {\n    date.setFullYear(date.getFullYear() + offset);\n  }, function(date) {\n    return date.getFullYear();\n  });\n  d3_time.years = d3_time.year.range;\n  d3_time.years.utc = d3_time.year.utc.range;\n  d3_time.day = d3_time_interval(function(date) {\n    var day = new d3_date(2e3, 0);\n    day.setFullYear(date.getFullYear(), date.getMonth(), date.getDate());\n    return day;\n  }, function(date, offset) {\n    date.setDate(date.getDate() + offset);\n  }, function(date) {\n    return date.getDate() - 1;\n  });\n  d3_time.days = d3_time.day.range;\n  d3_time.days.utc = d3_time.day.utc.range;\n  d3_time.dayOfYear = function(date) {\n    var year = d3_time.year(date);\n    return Math.floor((date - year - (date.getTimezoneOffset() - year.getTimezoneOffset()) * 6e4) / 864e5);\n  };\n  [ \"sunday\", \"monday\", \"tuesday\", \"wednesday\", \"thursday\", \"friday\", \"saturday\" ].forEach(function(day, i) {\n    i = 7 - i;\n    var interval = d3_time[day] = d3_time_interval(function(date) {\n      (date = d3_time.day(date)).setDate(date.getDate() - (date.getDay() + i) % 7);\n      return date;\n    }, function(date, offset) {\n      date.setDate(date.getDate() + Math.floor(offset) * 7);\n    }, function(date) {\n      var day = d3_time.year(date).getDay();\n      return Math.floor((d3_time.dayOfYear(date) + (day + i) % 7) / 7) - (day !== i);\n    });\n    d3_time[day + \"s\"] = interval.range;\n    d3_time[day + \"s\"].utc = interval.utc.range;\n    d3_time[day + \"OfYear\"] = function(date) {\n      var day = d3_time.year(date).getDay();\n      return Math.floor((d3_time.dayOfYear(date) + (day + i) % 7) / 7);\n    };\n  });\n  d3_time.week = d3_time.sunday;\n  d3_time.weeks = d3_time.sunday.range;\n  d3_time.weeks.utc = d3_time.sunday.utc.range;\n  d3_time.weekOfYear = d3_time.sundayOfYear;\n  function d3_locale_timeFormat(locale) {\n    var locale_dateTime = locale.dateTime, locale_date = locale.date, locale_time = locale.time, locale_periods = locale.periods, locale_days = locale.days, locale_shortDays = locale.shortDays, locale_months = locale.months, locale_shortMonths = locale.shortMonths;\n    function d3_time_format(template) {\n      var n = template.length;\n      function format(date) {\n        var string = [], i = -1, j = 0, c, p, f;\n        while (++i < n) {\n          if (template.charCodeAt(i) === 37) {\n            string.push(template.slice(j, i));\n            if ((p = d3_time_formatPads[c = template.charAt(++i)]) != null) c = template.charAt(++i);\n            if (f = d3_time_formats[c]) c = f(date, p == null ? c === \"e\" ? \" \" : \"0\" : p);\n            string.push(c);\n            j = i + 1;\n          }\n        }\n        string.push(template.slice(j, i));\n        return string.join(\"\");\n      }\n      format.parse = function(string) {\n        var d = {\n          y: 1900,\n          m: 0,\n          d: 1,\n          H: 0,\n          M: 0,\n          S: 0,\n          L: 0,\n          Z: null\n        }, i = d3_time_parse(d, template, string, 0);\n        if (i != string.length) return null;\n        if (\"p\" in d) d.H = d.H % 12 + d.p * 12;\n        var localZ = d.Z != null && d3_date !== d3_date_utc, date = new (localZ ? d3_date_utc : d3_date)();\n        if (\"j\" in d) date.setFullYear(d.y, 0, d.j); else if (\"W\" in d || \"U\" in d) {\n          if (!(\"w\" in d)) d.w = \"W\" in d ? 1 : 0;\n          date.setFullYear(d.y, 0, 1);\n          date.setFullYear(d.y, 0, \"W\" in d ? (d.w + 6) % 7 + d.W * 7 - (date.getDay() + 5) % 7 : d.w + d.U * 7 - (date.getDay() + 6) % 7);\n        } else date.setFullYear(d.y, d.m, d.d);\n        date.setHours(d.H + (d.Z / 100 | 0), d.M + d.Z % 100, d.S, d.L);\n        return localZ ? date._ : date;\n      };\n      format.toString = function() {\n        return template;\n      };\n      return format;\n    }\n    function d3_time_parse(date, template, string, j) {\n      var c, p, t, i = 0, n = template.length, m = string.length;\n      while (i < n) {\n        if (j >= m) return -1;\n        c = template.charCodeAt(i++);\n        if (c === 37) {\n          t = template.charAt(i++);\n          p = d3_time_parsers[t in d3_time_formatPads ? template.charAt(i++) : t];\n          if (!p || (j = p(date, string, j)) < 0) return -1;\n        } else if (c != string.charCodeAt(j++)) {\n          return -1;\n        }\n      }\n      return j;\n    }\n    d3_time_format.utc = function(template) {\n      var local = d3_time_format(template);\n      function format(date) {\n        try {\n          d3_date = d3_date_utc;\n          var utc = new d3_date();\n          utc._ = date;\n          return local(utc);\n        } finally {\n          d3_date = Date;\n        }\n      }\n      format.parse = function(string) {\n        try {\n          d3_date = d3_date_utc;\n          var date = local.parse(string);\n          return date && date._;\n        } finally {\n          d3_date = Date;\n        }\n      };\n      format.toString = local.toString;\n      return format;\n    };\n    d3_time_format.multi = d3_time_format.utc.multi = d3_time_formatMulti;\n    var d3_time_periodLookup = d3.map(), d3_time_dayRe = d3_time_formatRe(locale_days), d3_time_dayLookup = d3_time_formatLookup(locale_days), d3_time_dayAbbrevRe = d3_time_formatRe(locale_shortDays), d3_time_dayAbbrevLookup = d3_time_formatLookup(locale_shortDays), d3_time_monthRe = d3_time_formatRe(locale_months), d3_time_monthLookup = d3_time_formatLookup(locale_months), d3_time_monthAbbrevRe = d3_time_formatRe(locale_shortMonths), d3_time_monthAbbrevLookup = d3_time_formatLookup(locale_shortMonths);\n    locale_periods.forEach(function(p, i) {\n      d3_time_periodLookup.set(p.toLowerCase(), i);\n    });\n    var d3_time_formats = {\n      a: function(d) {\n        return locale_shortDays[d.getDay()];\n      },\n      A: function(d) {\n        return locale_days[d.getDay()];\n      },\n      b: function(d) {\n        return locale_shortMonths[d.getMonth()];\n      },\n      B: function(d) {\n        return locale_months[d.getMonth()];\n      },\n      c: d3_time_format(locale_dateTime),\n      d: function(d, p) {\n        return d3_time_formatPad(d.getDate(), p, 2);\n      },\n      e: function(d, p) {\n        return d3_time_formatPad(d.getDate(), p, 2);\n      },\n      H: function(d, p) {\n        return d3_time_formatPad(d.getHours(), p, 2);\n      },\n      I: function(d, p) {\n        return d3_time_formatPad(d.getHours() % 12 || 12, p, 2);\n      },\n      j: function(d, p) {\n        return d3_time_formatPad(1 + d3_time.dayOfYear(d), p, 3);\n      },\n      L: function(d, p) {\n        return d3_time_formatPad(d.getMilliseconds(), p, 3);\n      },\n      m: function(d, p) {\n        return d3_time_formatPad(d.getMonth() + 1, p, 2);\n      },\n      M: function(d, p) {\n        return d3_time_formatPad(d.getMinutes(), p, 2);\n      },\n      p: function(d) {\n        return locale_periods[+(d.getHours() >= 12)];\n      },\n      S: function(d, p) {\n        return d3_time_formatPad(d.getSeconds(), p, 2);\n      },\n      U: function(d, p) {\n        return d3_time_formatPad(d3_time.sundayOfYear(d), p, 2);\n      },\n      w: function(d) {\n        return d.getDay();\n      },\n      W: function(d, p) {\n        return d3_time_formatPad(d3_time.mondayOfYear(d), p, 2);\n      },\n      x: d3_time_format(locale_date),\n      X: d3_time_format(locale_time),\n      y: function(d, p) {\n        return d3_time_formatPad(d.getFullYear() % 100, p, 2);\n      },\n      Y: function(d, p) {\n        return d3_time_formatPad(d.getFullYear() % 1e4, p, 4);\n      },\n      Z: d3_time_zone,\n      \"%\": function() {\n        return \"%\";\n      }\n    };\n    var d3_time_parsers = {\n      a: d3_time_parseWeekdayAbbrev,\n      A: d3_time_parseWeekday,\n      b: d3_time_parseMonthAbbrev,\n      B: d3_time_parseMonth,\n      c: d3_time_parseLocaleFull,\n      d: d3_time_parseDay,\n      e: d3_time_parseDay,\n      H: d3_time_parseHour24,\n      I: d3_time_parseHour24,\n      j: d3_time_parseDayOfYear,\n      L: d3_time_parseMilliseconds,\n      m: d3_time_parseMonthNumber,\n      M: d3_time_parseMinutes,\n      p: d3_time_parseAmPm,\n      S: d3_time_parseSeconds,\n      U: d3_time_parseWeekNumberSunday,\n      w: d3_time_parseWeekdayNumber,\n      W: d3_time_parseWeekNumberMonday,\n      x: d3_time_parseLocaleDate,\n      X: d3_time_parseLocaleTime,\n      y: d3_time_parseYear,\n      Y: d3_time_parseFullYear,\n      Z: d3_time_parseZone,\n      \"%\": d3_time_parseLiteralPercent\n    };\n    function d3_time_parseWeekdayAbbrev(date, string, i) {\n      d3_time_dayAbbrevRe.lastIndex = 0;\n      var n = d3_time_dayAbbrevRe.exec(string.slice(i));\n      return n ? (date.w = d3_time_dayAbbrevLookup.get(n[0].toLowerCase()), i + n[0].length) : -1;\n    }\n    function d3_time_parseWeekday(date, string, i) {\n      d3_time_dayRe.lastIndex = 0;\n      var n = d3_time_dayRe.exec(string.slice(i));\n      return n ? (date.w = d3_time_dayLookup.get(n[0].toLowerCase()), i + n[0].length) : -1;\n    }\n    function d3_time_parseMonthAbbrev(date, string, i) {\n      d3_time_monthAbbrevRe.lastIndex = 0;\n      var n = d3_time_monthAbbrevRe.exec(string.slice(i));\n      return n ? (date.m = d3_time_monthAbbrevLookup.get(n[0].toLowerCase()), i + n[0].length) : -1;\n    }\n    function d3_time_parseMonth(date, string, i) {\n      d3_time_monthRe.lastIndex = 0;\n      var n = d3_time_monthRe.exec(string.slice(i));\n      return n ? (date.m = d3_time_monthLookup.get(n[0].toLowerCase()), i + n[0].length) : -1;\n    }\n    function d3_time_parseLocaleFull(date, string, i) {\n      return d3_time_parse(date, d3_time_formats.c.toString(), string, i);\n    }\n    function d3_time_parseLocaleDate(date, string, i) {\n      return d3_time_parse(date, d3_time_formats.x.toString(), string, i);\n    }\n    function d3_time_parseLocaleTime(date, string, i) {\n      return d3_time_parse(date, d3_time_formats.X.toString(), string, i);\n    }\n    function d3_time_parseAmPm(date, string, i) {\n      var n = d3_time_periodLookup.get(string.slice(i, i += 2).toLowerCase());\n      return n == null ? -1 : (date.p = n, i);\n    }\n    return d3_time_format;\n  }\n  var d3_time_formatPads = {\n    \"-\": \"\",\n    _: \" \",\n    \"0\": \"0\"\n  }, d3_time_numberRe = /^\\s*\\d+/, d3_time_percentRe = /^%/;\n  function d3_time_formatPad(value, fill, width) {\n    var sign = value < 0 ? \"-\" : \"\", string = (sign ? -value : value) + \"\", length = string.length;\n    return sign + (length < width ? new Array(width - length + 1).join(fill) + string : string);\n  }\n  function d3_time_formatRe(names) {\n    return new RegExp(\"^(?:\" + names.map(d3.requote).join(\"|\") + \")\", \"i\");\n  }\n  function d3_time_formatLookup(names) {\n    var map = new d3_Map(), i = -1, n = names.length;\n    while (++i < n) map.set(names[i].toLowerCase(), i);\n    return map;\n  }\n  function d3_time_parseWeekdayNumber(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i, i + 1));\n    return n ? (date.w = +n[0], i + n[0].length) : -1;\n  }\n  function d3_time_parseWeekNumberSunday(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i));\n    return n ? (date.U = +n[0], i + n[0].length) : -1;\n  }\n  function d3_time_parseWeekNumberMonday(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i));\n    return n ? (date.W = +n[0], i + n[0].length) : -1;\n  }\n  function d3_time_parseFullYear(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i, i + 4));\n    return n ? (date.y = +n[0], i + n[0].length) : -1;\n  }\n  function d3_time_parseYear(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i, i + 2));\n    return n ? (date.y = d3_time_expandYear(+n[0]), i + n[0].length) : -1;\n  }\n  function d3_time_parseZone(date, string, i) {\n    return /^[+-]\\d{4}$/.test(string = string.slice(i, i + 5)) ? (date.Z = -string, \n    i + 5) : -1;\n  }\n  function d3_time_expandYear(d) {\n    return d + (d > 68 ? 1900 : 2e3);\n  }\n  function d3_time_parseMonthNumber(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i, i + 2));\n    return n ? (date.m = n[0] - 1, i + n[0].length) : -1;\n  }\n  function d3_time_parseDay(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i, i + 2));\n    return n ? (date.d = +n[0], i + n[0].length) : -1;\n  }\n  function d3_time_parseDayOfYear(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i, i + 3));\n    return n ? (date.j = +n[0], i + n[0].length) : -1;\n  }\n  function d3_time_parseHour24(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i, i + 2));\n    return n ? (date.H = +n[0], i + n[0].length) : -1;\n  }\n  function d3_time_parseMinutes(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i, i + 2));\n    return n ? (date.M = +n[0], i + n[0].length) : -1;\n  }\n  function d3_time_parseSeconds(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i, i + 2));\n    return n ? (date.S = +n[0], i + n[0].length) : -1;\n  }\n  function d3_time_parseMilliseconds(date, string, i) {\n    d3_time_numberRe.lastIndex = 0;\n    var n = d3_time_numberRe.exec(string.slice(i, i + 3));\n    return n ? (date.L = +n[0], i + n[0].length) : -1;\n  }\n  function d3_time_zone(d) {\n    var z = d.getTimezoneOffset(), zs = z > 0 ? \"-\" : \"+\", zh = abs(z) / 60 | 0, zm = abs(z) % 60;\n    return zs + d3_time_formatPad(zh, \"0\", 2) + d3_time_formatPad(zm, \"0\", 2);\n  }\n  function d3_time_parseLiteralPercent(date, string, i) {\n    d3_time_percentRe.lastIndex = 0;\n    var n = d3_time_percentRe.exec(string.slice(i, i + 1));\n    return n ? i + n[0].length : -1;\n  }\n  function d3_time_formatMulti(formats) {\n    var n = formats.length, i = -1;\n    while (++i < n) formats[i][0] = this(formats[i][0]);\n    return function(date) {\n      var i = 0, f = formats[i];\n      while (!f[1](date)) f = formats[++i];\n      return f[0](date);\n    };\n  }\n  d3.locale = function(locale) {\n    return {\n      numberFormat: d3_locale_numberFormat(locale),\n      timeFormat: d3_locale_timeFormat(locale)\n    };\n  };\n  var d3_locale_enUS = d3.locale({\n    decimal: \".\",\n    thousands: \",\",\n    grouping: [ 3 ],\n    currency: [ \"$\", \"\" ],\n    dateTime: \"%a %b %e %X %Y\",\n    date: \"%m/%d/%Y\",\n    time: \"%H:%M:%S\",\n    periods: [ \"AM\", \"PM\" ],\n    days: [ \"Sunday\", \"Monday\", \"Tuesday\", \"Wednesday\", \"Thursday\", \"Friday\", \"Saturday\" ],\n    shortDays: [ \"Sun\", \"Mon\", \"Tue\", \"Wed\", \"Thu\", \"Fri\", \"Sat\" ],\n    months: [ \"January\", \"February\", \"March\", \"April\", \"May\", \"June\", \"July\", \"August\", \"September\", \"October\", \"November\", \"December\" ],\n    shortMonths: [ \"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\" ]\n  });\n  d3.format = d3_locale_enUS.numberFormat;\n  d3.geo = {};\n  function d3_adder() {}\n  d3_adder.prototype = {\n    s: 0,\n    t: 0,\n    add: function(y) {\n      d3_adderSum(y, this.t, d3_adderTemp);\n      d3_adderSum(d3_adderTemp.s, this.s, this);\n      if (this.s) this.t += d3_adderTemp.t; else this.s = d3_adderTemp.t;\n    },\n    reset: function() {\n      this.s = this.t = 0;\n    },\n    valueOf: function() {\n      return this.s;\n    }\n  };\n  var d3_adderTemp = new d3_adder();\n  function d3_adderSum(a, b, o) {\n    var x = o.s = a + b, bv = x - a, av = x - bv;\n    o.t = a - av + (b - bv);\n  }\n  d3.geo.stream = function(object, listener) {\n    if (object && d3_geo_streamObjectType.hasOwnProperty(object.type)) {\n      d3_geo_streamObjectType[object.type](object, listener);\n    } else {\n      d3_geo_streamGeometry(object, listener);\n    }\n  };\n  function d3_geo_streamGeometry(geometry, listener) {\n    if (geometry && d3_geo_streamGeometryType.hasOwnProperty(geometry.type)) {\n      d3_geo_streamGeometryType[geometry.type](geometry, listener);\n    }\n  }\n  var d3_geo_streamObjectType = {\n    Feature: function(feature, listener) {\n      d3_geo_streamGeometry(feature.geometry, listener);\n    },\n    FeatureCollection: function(object, listener) {\n      var features = object.features, i = -1, n = features.length;\n      while (++i < n) d3_geo_streamGeometry(features[i].geometry, listener);\n    }\n  };\n  var d3_geo_streamGeometryType = {\n    Sphere: function(object, listener) {\n      listener.sphere();\n    },\n    Point: function(object, listener) {\n      object = object.coordinates;\n      listener.point(object[0], object[1], object[2]);\n    },\n    MultiPoint: function(object, listener) {\n      var coordinates = object.coordinates, i = -1, n = coordinates.length;\n      while (++i < n) object = coordinates[i], listener.point(object[0], object[1], object[2]);\n    },\n    LineString: function(object, listener) {\n      d3_geo_streamLine(object.coordinates, listener, 0);\n    },\n    MultiLineString: function(object, listener) {\n      var coordinates = object.coordinates, i = -1, n = coordinates.length;\n      while (++i < n) d3_geo_streamLine(coordinates[i], listener, 0);\n    },\n    Polygon: function(object, listener) {\n      d3_geo_streamPolygon(object.coordinates, listener);\n    },\n    MultiPolygon: function(object, listener) {\n      var coordinates = object.coordinates, i = -1, n = coordinates.length;\n      while (++i < n) d3_geo_streamPolygon(coordinates[i], listener);\n    },\n    GeometryCollection: function(object, listener) {\n      var geometries = object.geometries, i = -1, n = geometries.length;\n      while (++i < n) d3_geo_streamGeometry(geometries[i], listener);\n    }\n  };\n  function d3_geo_streamLine(coordinates, listener, closed) {\n    var i = -1, n = coordinates.length - closed, coordinate;\n    listener.lineStart();\n    while (++i < n) coordinate = coordinates[i], listener.point(coordinate[0], coordinate[1], coordinate[2]);\n    listener.lineEnd();\n  }\n  function d3_geo_streamPolygon(coordinates, listener) {\n    var i = -1, n = coordinates.length;\n    listener.polygonStart();\n    while (++i < n) d3_geo_streamLine(coordinates[i], listener, 1);\n    listener.polygonEnd();\n  }\n  d3.geo.area = function(object) {\n    d3_geo_areaSum = 0;\n    d3.geo.stream(object, d3_geo_area);\n    return d3_geo_areaSum;\n  };\n  var d3_geo_areaSum, d3_geo_areaRingSum = new d3_adder();\n  var d3_geo_area = {\n    sphere: function() {\n      d3_geo_areaSum += 4 * π;\n    },\n    point: d3_noop,\n    lineStart: d3_noop,\n    lineEnd: d3_noop,\n    polygonStart: function() {\n      d3_geo_areaRingSum.reset();\n      d3_geo_area.lineStart = d3_geo_areaRingStart;\n    },\n    polygonEnd: function() {\n      var area = 2 * d3_geo_areaRingSum;\n      d3_geo_areaSum += area < 0 ? 4 * π + area : area;\n      d3_geo_area.lineStart = d3_geo_area.lineEnd = d3_geo_area.point = d3_noop;\n    }\n  };\n  function d3_geo_areaRingStart() {\n    var λ00, φ00, λ0, cosφ0, sinφ0;\n    d3_geo_area.point = function(λ, φ) {\n      d3_geo_area.point = nextPoint;\n      λ0 = (λ00 = λ) * d3_radians, cosφ0 = Math.cos(φ = (φ00 = φ) * d3_radians / 2 + π / 4), \n      sinφ0 = Math.sin(φ);\n    };\n    function nextPoint(λ, φ) {\n      λ *= d3_radians;\n      φ = φ * d3_radians / 2 + π / 4;\n      var dλ = λ - λ0, sdλ = dλ >= 0 ? 1 : -1, adλ = sdλ * dλ, cosφ = Math.cos(φ), sinφ = Math.sin(φ), k = sinφ0 * sinφ, u = cosφ0 * cosφ + k * Math.cos(adλ), v = k * sdλ * Math.sin(adλ);\n      d3_geo_areaRingSum.add(Math.atan2(v, u));\n      λ0 = λ, cosφ0 = cosφ, sinφ0 = sinφ;\n    }\n    d3_geo_area.lineEnd = function() {\n      nextPoint(λ00, φ00);\n    };\n  }\n  function d3_geo_cartesian(spherical) {\n    var λ = spherical[0], φ = spherical[1], cosφ = Math.cos(φ);\n    return [ cosφ * Math.cos(λ), cosφ * Math.sin(λ), Math.sin(φ) ];\n  }\n  function d3_geo_cartesianDot(a, b) {\n    return a[0] * b[0] + a[1] * b[1] + a[2] * b[2];\n  }\n  function d3_geo_cartesianCross(a, b) {\n    return [ a[1] * b[2] - a[2] * b[1], a[2] * b[0] - a[0] * b[2], a[0] * b[1] - a[1] * b[0] ];\n  }\n  function d3_geo_cartesianAdd(a, b) {\n    a[0] += b[0];\n    a[1] += b[1];\n    a[2] += b[2];\n  }\n  function d3_geo_cartesianScale(vector, k) {\n    return [ vector[0] * k, vector[1] * k, vector[2] * k ];\n  }\n  function d3_geo_cartesianNormalize(d) {\n    var l = Math.sqrt(d[0] * d[0] + d[1] * d[1] + d[2] * d[2]);\n    d[0] /= l;\n    d[1] /= l;\n    d[2] /= l;\n  }\n  function d3_geo_spherical(cartesian) {\n    return [ Math.atan2(cartesian[1], cartesian[0]), d3_asin(cartesian[2]) ];\n  }\n  function d3_geo_sphericalEqual(a, b) {\n    return abs(a[0] - b[0]) < ε && abs(a[1] - b[1]) < ε;\n  }\n  d3.geo.bounds = function() {\n    var λ0, φ0, λ1, φ1, λ_, λ__, φ__, p0, dλSum, ranges, range;\n    var bound = {\n      point: point,\n      lineStart: lineStart,\n      lineEnd: lineEnd,\n      polygonStart: function() {\n        bound.point = ringPoint;\n        bound.lineStart = ringStart;\n        bound.lineEnd = ringEnd;\n        dλSum = 0;\n        d3_geo_area.polygonStart();\n      },\n      polygonEnd: function() {\n        d3_geo_area.polygonEnd();\n        bound.point = point;\n        bound.lineStart = lineStart;\n        bound.lineEnd = lineEnd;\n        if (d3_geo_areaRingSum < 0) λ0 = -(λ1 = 180), φ0 = -(φ1 = 90); else if (dλSum > ε) φ1 = 90; else if (dλSum < -ε) φ0 = -90;\n        range[0] = λ0, range[1] = λ1;\n      }\n    };\n    function point(λ, φ) {\n      ranges.push(range = [ λ0 = λ, λ1 = λ ]);\n      if (φ < φ0) φ0 = φ;\n      if (φ > φ1) φ1 = φ;\n    }\n    function linePoint(λ, φ) {\n      var p = d3_geo_cartesian([ λ * d3_radians, φ * d3_radians ]);\n      if (p0) {\n        var normal = d3_geo_cartesianCross(p0, p), equatorial = [ normal[1], -normal[0], 0 ], inflection = d3_geo_cartesianCross(equatorial, normal);\n        d3_geo_cartesianNormalize(inflection);\n        inflection = d3_geo_spherical(inflection);\n        var dλ = λ - λ_, s = dλ > 0 ? 1 : -1, λi = inflection[0] * d3_degrees * s, antimeridian = abs(dλ) > 180;\n        if (antimeridian ^ (s * λ_ < λi && λi < s * λ)) {\n          var φi = inflection[1] * d3_degrees;\n          if (φi > φ1) φ1 = φi;\n        } else if (λi = (λi + 360) % 360 - 180, antimeridian ^ (s * λ_ < λi && λi < s * λ)) {\n          var φi = -inflection[1] * d3_degrees;\n          if (φi < φ0) φ0 = φi;\n        } else {\n          if (φ < φ0) φ0 = φ;\n          if (φ > φ1) φ1 = φ;\n        }\n        if (antimeridian) {\n          if (λ < λ_) {\n            if (angle(λ0, λ) > angle(λ0, λ1)) λ1 = λ;\n          } else {\n            if (angle(λ, λ1) > angle(λ0, λ1)) λ0 = λ;\n          }\n        } else {\n          if (λ1 >= λ0) {\n            if (λ < λ0) λ0 = λ;\n            if (λ > λ1) λ1 = λ;\n          } else {\n            if (λ > λ_) {\n              if (angle(λ0, λ) > angle(λ0, λ1)) λ1 = λ;\n            } else {\n              if (angle(λ, λ1) > angle(λ0, λ1)) λ0 = λ;\n            }\n          }\n        }\n      } else {\n        point(λ, φ);\n      }\n      p0 = p, λ_ = λ;\n    }\n    function lineStart() {\n      bound.point = linePoint;\n    }\n    function lineEnd() {\n      range[0] = λ0, range[1] = λ1;\n      bound.point = point;\n      p0 = null;\n    }\n    function ringPoint(λ, φ) {\n      if (p0) {\n        var dλ = λ - λ_;\n        dλSum += abs(dλ) > 180 ? dλ + (dλ > 0 ? 360 : -360) : dλ;\n      } else λ__ = λ, φ__ = φ;\n      d3_geo_area.point(λ, φ);\n      linePoint(λ, φ);\n    }\n    function ringStart() {\n      d3_geo_area.lineStart();\n    }\n    function ringEnd() {\n      ringPoint(λ__, φ__);\n      d3_geo_area.lineEnd();\n      if (abs(dλSum) > ε) λ0 = -(λ1 = 180);\n      range[0] = λ0, range[1] = λ1;\n      p0 = null;\n    }\n    function angle(λ0, λ1) {\n      return (λ1 -= λ0) < 0 ? λ1 + 360 : λ1;\n    }\n    function compareRanges(a, b) {\n      return a[0] - b[0];\n    }\n    function withinRange(x, range) {\n      return range[0] <= range[1] ? range[0] <= x && x <= range[1] : x < range[0] || range[1] < x;\n    }\n    return function(feature) {\n      φ1 = λ1 = -(λ0 = φ0 = Infinity);\n      ranges = [];\n      d3.geo.stream(feature, bound);\n      var n = ranges.length;\n      if (n) {\n        ranges.sort(compareRanges);\n        for (var i = 1, a = ranges[0], b, merged = [ a ]; i < n; ++i) {\n          b = ranges[i];\n          if (withinRange(b[0], a) || withinRange(b[1], a)) {\n            if (angle(a[0], b[1]) > angle(a[0], a[1])) a[1] = b[1];\n            if (angle(b[0], a[1]) > angle(a[0], a[1])) a[0] = b[0];\n          } else {\n            merged.push(a = b);\n          }\n        }\n        var best = -Infinity, dλ;\n        for (var n = merged.length - 1, i = 0, a = merged[n], b; i <= n; a = b, ++i) {\n          b = merged[i];\n          if ((dλ = angle(a[1], b[0])) > best) best = dλ, λ0 = b[0], λ1 = a[1];\n        }\n      }\n      ranges = range = null;\n      return λ0 === Infinity || φ0 === Infinity ? [ [ NaN, NaN ], [ NaN, NaN ] ] : [ [ λ0, φ0 ], [ λ1, φ1 ] ];\n    };\n  }();\n  d3.geo.centroid = function(object) {\n    d3_geo_centroidW0 = d3_geo_centroidW1 = d3_geo_centroidX0 = d3_geo_centroidY0 = d3_geo_centroidZ0 = d3_geo_centroidX1 = d3_geo_centroidY1 = d3_geo_centroidZ1 = d3_geo_centroidX2 = d3_geo_centroidY2 = d3_geo_centroidZ2 = 0;\n    d3.geo.stream(object, d3_geo_centroid);\n    var x = d3_geo_centroidX2, y = d3_geo_centroidY2, z = d3_geo_centroidZ2, m = x * x + y * y + z * z;\n    if (m < ε2) {\n      x = d3_geo_centroidX1, y = d3_geo_centroidY1, z = d3_geo_centroidZ1;\n      if (d3_geo_centroidW1 < ε) x = d3_geo_centroidX0, y = d3_geo_centroidY0, z = d3_geo_centroidZ0;\n      m = x * x + y * y + z * z;\n      if (m < ε2) return [ NaN, NaN ];\n    }\n    return [ Math.atan2(y, x) * d3_degrees, d3_asin(z / Math.sqrt(m)) * d3_degrees ];\n  };\n  var d3_geo_centroidW0, d3_geo_centroidW1, d3_geo_centroidX0, d3_geo_centroidY0, d3_geo_centroidZ0, d3_geo_centroidX1, d3_geo_centroidY1, d3_geo_centroidZ1, d3_geo_centroidX2, d3_geo_centroidY2, d3_geo_centroidZ2;\n  var d3_geo_centroid = {\n    sphere: d3_noop,\n    point: d3_geo_centroidPoint,\n    lineStart: d3_geo_centroidLineStart,\n    lineEnd: d3_geo_centroidLineEnd,\n    polygonStart: function() {\n      d3_geo_centroid.lineStart = d3_geo_centroidRingStart;\n    },\n    polygonEnd: function() {\n      d3_geo_centroid.lineStart = d3_geo_centroidLineStart;\n    }\n  };\n  function d3_geo_centroidPoint(λ, φ) {\n    λ *= d3_radians;\n    var cosφ = Math.cos(φ *= d3_radians);\n    d3_geo_centroidPointXYZ(cosφ * Math.cos(λ), cosφ * Math.sin(λ), Math.sin(φ));\n  }\n  function d3_geo_centroidPointXYZ(x, y, z) {\n    ++d3_geo_centroidW0;\n    d3_geo_centroidX0 += (x - d3_geo_centroidX0) / d3_geo_centroidW0;\n    d3_geo_centroidY0 += (y - d3_geo_centroidY0) / d3_geo_centroidW0;\n    d3_geo_centroidZ0 += (z - d3_geo_centroidZ0) / d3_geo_centroidW0;\n  }\n  function d3_geo_centroidLineStart() {\n    var x0, y0, z0;\n    d3_geo_centroid.point = function(λ, φ) {\n      λ *= d3_radians;\n      var cosφ = Math.cos(φ *= d3_radians);\n      x0 = cosφ * Math.cos(λ);\n      y0 = cosφ * Math.sin(λ);\n      z0 = Math.sin(φ);\n      d3_geo_centroid.point = nextPoint;\n      d3_geo_centroidPointXYZ(x0, y0, z0);\n    };\n    function nextPoint(λ, φ) {\n      λ *= d3_radians;\n      var cosφ = Math.cos(φ *= d3_radians), x = cosφ * Math.cos(λ), y = cosφ * Math.sin(λ), z = Math.sin(φ), w = Math.atan2(Math.sqrt((w = y0 * z - z0 * y) * w + (w = z0 * x - x0 * z) * w + (w = x0 * y - y0 * x) * w), x0 * x + y0 * y + z0 * z);\n      d3_geo_centroidW1 += w;\n      d3_geo_centroidX1 += w * (x0 + (x0 = x));\n      d3_geo_centroidY1 += w * (y0 + (y0 = y));\n      d3_geo_centroidZ1 += w * (z0 + (z0 = z));\n      d3_geo_centroidPointXYZ(x0, y0, z0);\n    }\n  }\n  function d3_geo_centroidLineEnd() {\n    d3_geo_centroid.point = d3_geo_centroidPoint;\n  }\n  function d3_geo_centroidRingStart() {\n    var λ00, φ00, x0, y0, z0;\n    d3_geo_centroid.point = function(λ, φ) {\n      λ00 = λ, φ00 = φ;\n      d3_geo_centroid.point = nextPoint;\n      λ *= d3_radians;\n      var cosφ = Math.cos(φ *= d3_radians);\n      x0 = cosφ * Math.cos(λ);\n      y0 = cosφ * Math.sin(λ);\n      z0 = Math.sin(φ);\n      d3_geo_centroidPointXYZ(x0, y0, z0);\n    };\n    d3_geo_centroid.lineEnd = function() {\n      nextPoint(λ00, φ00);\n      d3_geo_centroid.lineEnd = d3_geo_centroidLineEnd;\n      d3_geo_centroid.point = d3_geo_centroidPoint;\n    };\n    function nextPoint(λ, φ) {\n      λ *= d3_radians;\n      var cosφ = Math.cos(φ *= d3_radians), x = cosφ * Math.cos(λ), y = cosφ * Math.sin(λ), z = Math.sin(φ), cx = y0 * z - z0 * y, cy = z0 * x - x0 * z, cz = x0 * y - y0 * x, m = Math.sqrt(cx * cx + cy * cy + cz * cz), u = x0 * x + y0 * y + z0 * z, v = m && -d3_acos(u) / m, w = Math.atan2(m, u);\n      d3_geo_centroidX2 += v * cx;\n      d3_geo_centroidY2 += v * cy;\n      d3_geo_centroidZ2 += v * cz;\n      d3_geo_centroidW1 += w;\n      d3_geo_centroidX1 += w * (x0 + (x0 = x));\n      d3_geo_centroidY1 += w * (y0 + (y0 = y));\n      d3_geo_centroidZ1 += w * (z0 + (z0 = z));\n      d3_geo_centroidPointXYZ(x0, y0, z0);\n    }\n  }\n  function d3_geo_compose(a, b) {\n    function compose(x, y) {\n      return x = a(x, y), b(x[0], x[1]);\n    }\n    if (a.invert && b.invert) compose.invert = function(x, y) {\n      return x = b.invert(x, y), x && a.invert(x[0], x[1]);\n    };\n    return compose;\n  }\n  function d3_true() {\n    return true;\n  }\n  function d3_geo_clipPolygon(segments, compare, clipStartInside, interpolate, listener) {\n    var subject = [], clip = [];\n    segments.forEach(function(segment) {\n      if ((n = segment.length - 1) <= 0) return;\n      var n, p0 = segment[0], p1 = segment[n];\n      if (d3_geo_sphericalEqual(p0, p1)) {\n        listener.lineStart();\n        for (var i = 0; i < n; ++i) listener.point((p0 = segment[i])[0], p0[1]);\n        listener.lineEnd();\n        return;\n      }\n      var a = new d3_geo_clipPolygonIntersection(p0, segment, null, true), b = new d3_geo_clipPolygonIntersection(p0, null, a, false);\n      a.o = b;\n      subject.push(a);\n      clip.push(b);\n      a = new d3_geo_clipPolygonIntersection(p1, segment, null, false);\n      b = new d3_geo_clipPolygonIntersection(p1, null, a, true);\n      a.o = b;\n      subject.push(a);\n      clip.push(b);\n    });\n    clip.sort(compare);\n    d3_geo_clipPolygonLinkCircular(subject);\n    d3_geo_clipPolygonLinkCircular(clip);\n    if (!subject.length) return;\n    for (var i = 0, entry = clipStartInside, n = clip.length; i < n; ++i) {\n      clip[i].e = entry = !entry;\n    }\n    var start = subject[0], points, point;\n    while (1) {\n      var current = start, isSubject = true;\n      while (current.v) if ((current = current.n) === start) return;\n      points = current.z;\n      listener.lineStart();\n      do {\n        current.v = current.o.v = true;\n        if (current.e) {\n          if (isSubject) {\n            for (var i = 0, n = points.length; i < n; ++i) listener.point((point = points[i])[0], point[1]);\n          } else {\n            interpolate(current.x, current.n.x, 1, listener);\n          }\n          current = current.n;\n        } else {\n          if (isSubject) {\n            points = current.p.z;\n            for (var i = points.length - 1; i >= 0; --i) listener.point((point = points[i])[0], point[1]);\n          } else {\n            interpolate(current.x, current.p.x, -1, listener);\n          }\n          current = current.p;\n        }\n        current = current.o;\n        points = current.z;\n        isSubject = !isSubject;\n      } while (!current.v);\n      listener.lineEnd();\n    }\n  }\n  function d3_geo_clipPolygonLinkCircular(array) {\n    if (!(n = array.length)) return;\n    var n, i = 0, a = array[0], b;\n    while (++i < n) {\n      a.n = b = array[i];\n      b.p = a;\n      a = b;\n    }\n    a.n = b = array[0];\n    b.p = a;\n  }\n  function d3_geo_clipPolygonIntersection(point, points, other, entry) {\n    this.x = point;\n    this.z = points;\n    this.o = other;\n    this.e = entry;\n    this.v = false;\n    this.n = this.p = null;\n  }\n  function d3_geo_clip(pointVisible, clipLine, interpolate, clipStart) {\n    return function(rotate, listener) {\n      var line = clipLine(listener), rotatedClipStart = rotate.invert(clipStart[0], clipStart[1]);\n      var clip = {\n        point: point,\n        lineStart: lineStart,\n        lineEnd: lineEnd,\n        polygonStart: function() {\n          clip.point = pointRing;\n          clip.lineStart = ringStart;\n          clip.lineEnd = ringEnd;\n          segments = [];\n          polygon = [];\n        },\n        polygonEnd: function() {\n          clip.point = point;\n          clip.lineStart = lineStart;\n          clip.lineEnd = lineEnd;\n          segments = d3.merge(segments);\n          var clipStartInside = d3_geo_pointInPolygon(rotatedClipStart, polygon);\n          if (segments.length) {\n            if (!polygonStarted) listener.polygonStart(), polygonStarted = true;\n            d3_geo_clipPolygon(segments, d3_geo_clipSort, clipStartInside, interpolate, listener);\n          } else if (clipStartInside) {\n            if (!polygonStarted) listener.polygonStart(), polygonStarted = true;\n            listener.lineStart();\n            interpolate(null, null, 1, listener);\n            listener.lineEnd();\n          }\n          if (polygonStarted) listener.polygonEnd(), polygonStarted = false;\n          segments = polygon = null;\n        },\n        sphere: function() {\n          listener.polygonStart();\n          listener.lineStart();\n          interpolate(null, null, 1, listener);\n          listener.lineEnd();\n          listener.polygonEnd();\n        }\n      };\n      function point(λ, φ) {\n        var point = rotate(λ, φ);\n        if (pointVisible(λ = point[0], φ = point[1])) listener.point(λ, φ);\n      }\n      function pointLine(λ, φ) {\n        var point = rotate(λ, φ);\n        line.point(point[0], point[1]);\n      }\n      function lineStart() {\n        clip.point = pointLine;\n        line.lineStart();\n      }\n      function lineEnd() {\n        clip.point = point;\n        line.lineEnd();\n      }\n      var segments;\n      var buffer = d3_geo_clipBufferListener(), ringListener = clipLine(buffer), polygonStarted = false, polygon, ring;\n      function pointRing(λ, φ) {\n        ring.push([ λ, φ ]);\n        var point = rotate(λ, φ);\n        ringListener.point(point[0], point[1]);\n      }\n      function ringStart() {\n        ringListener.lineStart();\n        ring = [];\n      }\n      function ringEnd() {\n        pointRing(ring[0][0], ring[0][1]);\n        ringListener.lineEnd();\n        var clean = ringListener.clean(), ringSegments = buffer.buffer(), segment, n = ringSegments.length;\n        ring.pop();\n        polygon.push(ring);\n        ring = null;\n        if (!n) return;\n        if (clean & 1) {\n          segment = ringSegments[0];\n          var n = segment.length - 1, i = -1, point;\n          if (n > 0) {\n            if (!polygonStarted) listener.polygonStart(), polygonStarted = true;\n            listener.lineStart();\n            while (++i < n) listener.point((point = segment[i])[0], point[1]);\n            listener.lineEnd();\n          }\n          return;\n        }\n        if (n > 1 && clean & 2) ringSegments.push(ringSegments.pop().concat(ringSegments.shift()));\n        segments.push(ringSegments.filter(d3_geo_clipSegmentLength1));\n      }\n      return clip;\n    };\n  }\n  function d3_geo_clipSegmentLength1(segment) {\n    return segment.length > 1;\n  }\n  function d3_geo_clipBufferListener() {\n    var lines = [], line;\n    return {\n      lineStart: function() {\n        lines.push(line = []);\n      },\n      point: function(λ, φ) {\n        line.push([ λ, φ ]);\n      },\n      lineEnd: d3_noop,\n      buffer: function() {\n        var buffer = lines;\n        lines = [];\n        line = null;\n        return buffer;\n      },\n      rejoin: function() {\n        if (lines.length > 1) lines.push(lines.pop().concat(lines.shift()));\n      }\n    };\n  }\n  function d3_geo_clipSort(a, b) {\n    return ((a = a.x)[0] < 0 ? a[1] - halfπ - ε : halfπ - a[1]) - ((b = b.x)[0] < 0 ? b[1] - halfπ - ε : halfπ - b[1]);\n  }\n  var d3_geo_clipAntimeridian = d3_geo_clip(d3_true, d3_geo_clipAntimeridianLine, d3_geo_clipAntimeridianInterpolate, [ -π, -π / 2 ]);\n  function d3_geo_clipAntimeridianLine(listener) {\n    var λ0 = NaN, φ0 = NaN, sλ0 = NaN, clean;\n    return {\n      lineStart: function() {\n        listener.lineStart();\n        clean = 1;\n      },\n      point: function(λ1, φ1) {\n        var sλ1 = λ1 > 0 ? π : -π, dλ = abs(λ1 - λ0);\n        if (abs(dλ - π) < ε) {\n          listener.point(λ0, φ0 = (φ0 + φ1) / 2 > 0 ? halfπ : -halfπ);\n          listener.point(sλ0, φ0);\n          listener.lineEnd();\n          listener.lineStart();\n          listener.point(sλ1, φ0);\n          listener.point(λ1, φ0);\n          clean = 0;\n        } else if (sλ0 !== sλ1 && dλ >= π) {\n          if (abs(λ0 - sλ0) < ε) λ0 -= sλ0 * ε;\n          if (abs(λ1 - sλ1) < ε) λ1 -= sλ1 * ε;\n          φ0 = d3_geo_clipAntimeridianIntersect(λ0, φ0, λ1, φ1);\n          listener.point(sλ0, φ0);\n          listener.lineEnd();\n          listener.lineStart();\n          listener.point(sλ1, φ0);\n          clean = 0;\n        }\n        listener.point(λ0 = λ1, φ0 = φ1);\n        sλ0 = sλ1;\n      },\n      lineEnd: function() {\n        listener.lineEnd();\n        λ0 = φ0 = NaN;\n      },\n      clean: function() {\n        return 2 - clean;\n      }\n    };\n  }\n  function d3_geo_clipAntimeridianIntersect(λ0, φ0, λ1, φ1) {\n    var cosφ0, cosφ1, sinλ0_λ1 = Math.sin(λ0 - λ1);\n    return abs(sinλ0_λ1) > ε ? Math.atan((Math.sin(φ0) * (cosφ1 = Math.cos(φ1)) * Math.sin(λ1) - Math.sin(φ1) * (cosφ0 = Math.cos(φ0)) * Math.sin(λ0)) / (cosφ0 * cosφ1 * sinλ0_λ1)) : (φ0 + φ1) / 2;\n  }\n  function d3_geo_clipAntimeridianInterpolate(from, to, direction, listener) {\n    var φ;\n    if (from == null) {\n      φ = direction * halfπ;\n      listener.point(-π, φ);\n      listener.point(0, φ);\n      listener.point(π, φ);\n      listener.point(π, 0);\n      listener.point(π, -φ);\n      listener.point(0, -φ);\n      listener.point(-π, -φ);\n      listener.point(-π, 0);\n      listener.point(-π, φ);\n    } else if (abs(from[0] - to[0]) > ε) {\n      var s = from[0] < to[0] ? π : -π;\n      φ = direction * s / 2;\n      listener.point(-s, φ);\n      listener.point(0, φ);\n      listener.point(s, φ);\n    } else {\n      listener.point(to[0], to[1]);\n    }\n  }\n  function d3_geo_pointInPolygon(point, polygon) {\n    var meridian = point[0], parallel = point[1], meridianNormal = [ Math.sin(meridian), -Math.cos(meridian), 0 ], polarAngle = 0, winding = 0;\n    d3_geo_areaRingSum.reset();\n    for (var i = 0, n = polygon.length; i < n; ++i) {\n      var ring = polygon[i], m = ring.length;\n      if (!m) continue;\n      var point0 = ring[0], λ0 = point0[0], φ0 = point0[1] / 2 + π / 4, sinφ0 = Math.sin(φ0), cosφ0 = Math.cos(φ0), j = 1;\n      while (true) {\n        if (j === m) j = 0;\n        point = ring[j];\n        var λ = point[0], φ = point[1] / 2 + π / 4, sinφ = Math.sin(φ), cosφ = Math.cos(φ), dλ = λ - λ0, sdλ = dλ >= 0 ? 1 : -1, adλ = sdλ * dλ, antimeridian = adλ > π, k = sinφ0 * sinφ;\n        d3_geo_areaRingSum.add(Math.atan2(k * sdλ * Math.sin(adλ), cosφ0 * cosφ + k * Math.cos(adλ)));\n        polarAngle += antimeridian ? dλ + sdλ * τ : dλ;\n        if (antimeridian ^ λ0 >= meridian ^ λ >= meridian) {\n          var arc = d3_geo_cartesianCross(d3_geo_cartesian(point0), d3_geo_cartesian(point));\n          d3_geo_cartesianNormalize(arc);\n          var intersection = d3_geo_cartesianCross(meridianNormal, arc);\n          d3_geo_cartesianNormalize(intersection);\n          var φarc = (antimeridian ^ dλ >= 0 ? -1 : 1) * d3_asin(intersection[2]);\n          if (parallel > φarc || parallel === φarc && (arc[0] || arc[1])) {\n            winding += antimeridian ^ dλ >= 0 ? 1 : -1;\n          }\n        }\n        if (!j++) break;\n        λ0 = λ, sinφ0 = sinφ, cosφ0 = cosφ, point0 = point;\n      }\n    }\n    return (polarAngle < -ε || polarAngle < ε && d3_geo_areaRingSum < -ε) ^ winding & 1;\n  }\n  function d3_geo_clipCircle(radius) {\n    var cr = Math.cos(radius), smallRadius = cr > 0, notHemisphere = abs(cr) > ε, interpolate = d3_geo_circleInterpolate(radius, 6 * d3_radians);\n    return d3_geo_clip(visible, clipLine, interpolate, smallRadius ? [ 0, -radius ] : [ -π, radius - π ]);\n    function visible(λ, φ) {\n      return Math.cos(λ) * Math.cos(φ) > cr;\n    }\n    function clipLine(listener) {\n      var point0, c0, v0, v00, clean;\n      return {\n        lineStart: function() {\n          v00 = v0 = false;\n          clean = 1;\n        },\n        point: function(λ, φ) {\n          var point1 = [ λ, φ ], point2, v = visible(λ, φ), c = smallRadius ? v ? 0 : code(λ, φ) : v ? code(λ + (λ < 0 ? π : -π), φ) : 0;\n          if (!point0 && (v00 = v0 = v)) listener.lineStart();\n          if (v !== v0) {\n            point2 = intersect(point0, point1);\n            if (d3_geo_sphericalEqual(point0, point2) || d3_geo_sphericalEqual(point1, point2)) {\n              point1[0] += ε;\n              point1[1] += ε;\n              v = visible(point1[0], point1[1]);\n            }\n          }\n          if (v !== v0) {\n            clean = 0;\n            if (v) {\n              listener.lineStart();\n              point2 = intersect(point1, point0);\n              listener.point(point2[0], point2[1]);\n            } else {\n              point2 = intersect(point0, point1);\n              listener.point(point2[0], point2[1]);\n              listener.lineEnd();\n            }\n            point0 = point2;\n          } else if (notHemisphere && point0 && smallRadius ^ v) {\n            var t;\n            if (!(c & c0) && (t = intersect(point1, point0, true))) {\n              clean = 0;\n              if (smallRadius) {\n                listener.lineStart();\n                listener.point(t[0][0], t[0][1]);\n                listener.point(t[1][0], t[1][1]);\n                listener.lineEnd();\n              } else {\n                listener.point(t[1][0], t[1][1]);\n                listener.lineEnd();\n                listener.lineStart();\n                listener.point(t[0][0], t[0][1]);\n              }\n            }\n          }\n          if (v && (!point0 || !d3_geo_sphericalEqual(point0, point1))) {\n            listener.point(point1[0], point1[1]);\n          }\n          point0 = point1, v0 = v, c0 = c;\n        },\n        lineEnd: function() {\n          if (v0) listener.lineEnd();\n          point0 = null;\n        },\n        clean: function() {\n          return clean | (v00 && v0) << 1;\n        }\n      };\n    }\n    function intersect(a, b, two) {\n      var pa = d3_geo_cartesian(a), pb = d3_geo_cartesian(b);\n      var n1 = [ 1, 0, 0 ], n2 = d3_geo_cartesianCross(pa, pb), n2n2 = d3_geo_cartesianDot(n2, n2), n1n2 = n2[0], determinant = n2n2 - n1n2 * n1n2;\n      if (!determinant) return !two && a;\n      var c1 = cr * n2n2 / determinant, c2 = -cr * n1n2 / determinant, n1xn2 = d3_geo_cartesianCross(n1, n2), A = d3_geo_cartesianScale(n1, c1), B = d3_geo_cartesianScale(n2, c2);\n      d3_geo_cartesianAdd(A, B);\n      var u = n1xn2, w = d3_geo_cartesianDot(A, u), uu = d3_geo_cartesianDot(u, u), t2 = w * w - uu * (d3_geo_cartesianDot(A, A) - 1);\n      if (t2 < 0) return;\n      var t = Math.sqrt(t2), q = d3_geo_cartesianScale(u, (-w - t) / uu);\n      d3_geo_cartesianAdd(q, A);\n      q = d3_geo_spherical(q);\n      if (!two) return q;\n      var λ0 = a[0], λ1 = b[0], φ0 = a[1], φ1 = b[1], z;\n      if (λ1 < λ0) z = λ0, λ0 = λ1, λ1 = z;\n      var δλ = λ1 - λ0, polar = abs(δλ - π) < ε, meridian = polar || δλ < ε;\n      if (!polar && φ1 < φ0) z = φ0, φ0 = φ1, φ1 = z;\n      if (meridian ? polar ? φ0 + φ1 > 0 ^ q[1] < (abs(q[0] - λ0) < ε ? φ0 : φ1) : φ0 <= q[1] && q[1] <= φ1 : δλ > π ^ (λ0 <= q[0] && q[0] <= λ1)) {\n        var q1 = d3_geo_cartesianScale(u, (-w + t) / uu);\n        d3_geo_cartesianAdd(q1, A);\n        return [ q, d3_geo_spherical(q1) ];\n      }\n    }\n    function code(λ, φ) {\n      var r = smallRadius ? radius : π - radius, code = 0;\n      if (λ < -r) code |= 1; else if (λ > r) code |= 2;\n      if (φ < -r) code |= 4; else if (φ > r) code |= 8;\n      return code;\n    }\n  }\n  function d3_geom_clipLine(x0, y0, x1, y1) {\n    return function(line) {\n      var a = line.a, b = line.b, ax = a.x, ay = a.y, bx = b.x, by = b.y, t0 = 0, t1 = 1, dx = bx - ax, dy = by - ay, r;\n      r = x0 - ax;\n      if (!dx && r > 0) return;\n      r /= dx;\n      if (dx < 0) {\n        if (r < t0) return;\n        if (r < t1) t1 = r;\n      } else if (dx > 0) {\n        if (r > t1) return;\n        if (r > t0) t0 = r;\n      }\n      r = x1 - ax;\n      if (!dx && r < 0) return;\n      r /= dx;\n      if (dx < 0) {\n        if (r > t1) return;\n        if (r > t0) t0 = r;\n      } else if (dx > 0) {\n        if (r < t0) return;\n        if (r < t1) t1 = r;\n      }\n      r = y0 - ay;\n      if (!dy && r > 0) return;\n      r /= dy;\n      if (dy < 0) {\n        if (r < t0) return;\n        if (r < t1) t1 = r;\n      } else if (dy > 0) {\n        if (r > t1) return;\n        if (r > t0) t0 = r;\n      }\n      r = y1 - ay;\n      if (!dy && r < 0) return;\n      r /= dy;\n      if (dy < 0) {\n        if (r > t1) return;\n        if (r > t0) t0 = r;\n      } else if (dy > 0) {\n        if (r < t0) return;\n        if (r < t1) t1 = r;\n      }\n      if (t0 > 0) line.a = {\n        x: ax + t0 * dx,\n        y: ay + t0 * dy\n      };\n      if (t1 < 1) line.b = {\n        x: ax + t1 * dx,\n        y: ay + t1 * dy\n      };\n      return line;\n    };\n  }\n  var d3_geo_clipExtentMAX = 1e9;\n  d3.geo.clipExtent = function() {\n    var x0, y0, x1, y1, stream, clip, clipExtent = {\n      stream: function(output) {\n        if (stream) stream.valid = false;\n        stream = clip(output);\n        stream.valid = true;\n        return stream;\n      },\n      extent: function(_) {\n        if (!arguments.length) return [ [ x0, y0 ], [ x1, y1 ] ];\n        clip = d3_geo_clipExtent(x0 = +_[0][0], y0 = +_[0][1], x1 = +_[1][0], y1 = +_[1][1]);\n        if (stream) stream.valid = false, stream = null;\n        return clipExtent;\n      }\n    };\n    return clipExtent.extent([ [ 0, 0 ], [ 960, 500 ] ]);\n  };\n  function d3_geo_clipExtent(x0, y0, x1, y1) {\n    return function(listener) {\n      var listener_ = listener, bufferListener = d3_geo_clipBufferListener(), clipLine = d3_geom_clipLine(x0, y0, x1, y1), segments, polygon, ring;\n      var clip = {\n        point: point,\n        lineStart: lineStart,\n        lineEnd: lineEnd,\n        polygonStart: function() {\n          listener = bufferListener;\n          segments = [];\n          polygon = [];\n          clean = true;\n        },\n        polygonEnd: function() {\n          listener = listener_;\n          segments = d3.merge(segments);\n          var clipStartInside = insidePolygon([ x0, y1 ]), inside = clean && clipStartInside, visible = segments.length;\n          if (inside || visible) {\n            listener.polygonStart();\n            if (inside) {\n              listener.lineStart();\n              interpolate(null, null, 1, listener);\n              listener.lineEnd();\n            }\n            if (visible) {\n              d3_geo_clipPolygon(segments, compare, clipStartInside, interpolate, listener);\n            }\n            listener.polygonEnd();\n          }\n          segments = polygon = ring = null;\n        }\n      };\n      function insidePolygon(p) {\n        var wn = 0, n = polygon.length, y = p[1];\n        for (var i = 0; i < n; ++i) {\n          for (var j = 1, v = polygon[i], m = v.length, a = v[0], b; j < m; ++j) {\n            b = v[j];\n            if (a[1] <= y) {\n              if (b[1] > y && d3_cross2d(a, b, p) > 0) ++wn;\n            } else {\n              if (b[1] <= y && d3_cross2d(a, b, p) < 0) --wn;\n            }\n            a = b;\n          }\n        }\n        return wn !== 0;\n      }\n      function interpolate(from, to, direction, listener) {\n        var a = 0, a1 = 0;\n        if (from == null || (a = corner(from, direction)) !== (a1 = corner(to, direction)) || comparePoints(from, to) < 0 ^ direction > 0) {\n          do {\n            listener.point(a === 0 || a === 3 ? x0 : x1, a > 1 ? y1 : y0);\n          } while ((a = (a + direction + 4) % 4) !== a1);\n        } else {\n          listener.point(to[0], to[1]);\n        }\n      }\n      function pointVisible(x, y) {\n        return x0 <= x && x <= x1 && y0 <= y && y <= y1;\n      }\n      function point(x, y) {\n        if (pointVisible(x, y)) listener.point(x, y);\n      }\n      var x__, y__, v__, x_, y_, v_, first, clean;\n      function lineStart() {\n        clip.point = linePoint;\n        if (polygon) polygon.push(ring = []);\n        first = true;\n        v_ = false;\n        x_ = y_ = NaN;\n      }\n      function lineEnd() {\n        if (segments) {\n          linePoint(x__, y__);\n          if (v__ && v_) bufferListener.rejoin();\n          segments.push(bufferListener.buffer());\n        }\n        clip.point = point;\n        if (v_) listener.lineEnd();\n      }\n      function linePoint(x, y) {\n        x = Math.max(-d3_geo_clipExtentMAX, Math.min(d3_geo_clipExtentMAX, x));\n        y = Math.max(-d3_geo_clipExtentMAX, Math.min(d3_geo_clipExtentMAX, y));\n        var v = pointVisible(x, y);\n        if (polygon) ring.push([ x, y ]);\n        if (first) {\n          x__ = x, y__ = y, v__ = v;\n          first = false;\n          if (v) {\n            listener.lineStart();\n            listener.point(x, y);\n          }\n        } else {\n          if (v && v_) listener.point(x, y); else {\n            var l = {\n              a: {\n                x: x_,\n                y: y_\n              },\n              b: {\n                x: x,\n                y: y\n              }\n            };\n            if (clipLine(l)) {\n              if (!v_) {\n                listener.lineStart();\n                listener.point(l.a.x, l.a.y);\n              }\n              listener.point(l.b.x, l.b.y);\n              if (!v) listener.lineEnd();\n              clean = false;\n            } else if (v) {\n              listener.lineStart();\n              listener.point(x, y);\n              clean = false;\n            }\n          }\n        }\n        x_ = x, y_ = y, v_ = v;\n      }\n      return clip;\n    };\n    function corner(p, direction) {\n      return abs(p[0] - x0) < ε ? direction > 0 ? 0 : 3 : abs(p[0] - x1) < ε ? direction > 0 ? 2 : 1 : abs(p[1] - y0) < ε ? direction > 0 ? 1 : 0 : direction > 0 ? 3 : 2;\n    }\n    function compare(a, b) {\n      return comparePoints(a.x, b.x);\n    }\n    function comparePoints(a, b) {\n      var ca = corner(a, 1), cb = corner(b, 1);\n      return ca !== cb ? ca - cb : ca === 0 ? b[1] - a[1] : ca === 1 ? a[0] - b[0] : ca === 2 ? a[1] - b[1] : b[0] - a[0];\n    }\n  }\n  function d3_geo_conic(projectAt) {\n    var φ0 = 0, φ1 = π / 3, m = d3_geo_projectionMutator(projectAt), p = m(φ0, φ1);\n    p.parallels = function(_) {\n      if (!arguments.length) return [ φ0 / π * 180, φ1 / π * 180 ];\n      return m(φ0 = _[0] * π / 180, φ1 = _[1] * π / 180);\n    };\n    return p;\n  }\n  function d3_geo_conicEqualArea(φ0, φ1) {\n    var sinφ0 = Math.sin(φ0), n = (sinφ0 + Math.sin(φ1)) / 2, C = 1 + sinφ0 * (2 * n - sinφ0), ρ0 = Math.sqrt(C) / n;\n    function forward(λ, φ) {\n      var ρ = Math.sqrt(C - 2 * n * Math.sin(φ)) / n;\n      return [ ρ * Math.sin(λ *= n), ρ0 - ρ * Math.cos(λ) ];\n    }\n    forward.invert = function(x, y) {\n      var ρ0_y = ρ0 - y;\n      return [ Math.atan2(x, ρ0_y) / n, d3_asin((C - (x * x + ρ0_y * ρ0_y) * n * n) / (2 * n)) ];\n    };\n    return forward;\n  }\n  (d3.geo.conicEqualArea = function() {\n    return d3_geo_conic(d3_geo_conicEqualArea);\n  }).raw = d3_geo_conicEqualArea;\n  d3.geo.albers = function() {\n    return d3.geo.conicEqualArea().rotate([ 96, 0 ]).center([ -.6, 38.7 ]).parallels([ 29.5, 45.5 ]).scale(1070);\n  };\n  d3.geo.albersUsa = function() {\n    var lower48 = d3.geo.albers();\n    var alaska = d3.geo.conicEqualArea().rotate([ 154, 0 ]).center([ -2, 58.5 ]).parallels([ 55, 65 ]);\n    var hawaii = d3.geo.conicEqualArea().rotate([ 157, 0 ]).center([ -3, 19.9 ]).parallels([ 8, 18 ]);\n    var point, pointStream = {\n      point: function(x, y) {\n        point = [ x, y ];\n      }\n    }, lower48Point, alaskaPoint, hawaiiPoint;\n    function albersUsa(coordinates) {\n      var x = coordinates[0], y = coordinates[1];\n      point = null;\n      (lower48Point(x, y), point) || (alaskaPoint(x, y), point) || hawaiiPoint(x, y);\n      return point;\n    }\n    albersUsa.invert = function(coordinates) {\n      var k = lower48.scale(), t = lower48.translate(), x = (coordinates[0] - t[0]) / k, y = (coordinates[1] - t[1]) / k;\n      return (y >= .12 && y < .234 && x >= -.425 && x < -.214 ? alaska : y >= .166 && y < .234 && x >= -.214 && x < -.115 ? hawaii : lower48).invert(coordinates);\n    };\n    albersUsa.stream = function(stream) {\n      var lower48Stream = lower48.stream(stream), alaskaStream = alaska.stream(stream), hawaiiStream = hawaii.stream(stream);\n      return {\n        point: function(x, y) {\n          lower48Stream.point(x, y);\n          alaskaStream.point(x, y);\n          hawaiiStream.point(x, y);\n        },\n        sphere: function() {\n          lower48Stream.sphere();\n          alaskaStream.sphere();\n          hawaiiStream.sphere();\n        },\n        lineStart: function() {\n          lower48Stream.lineStart();\n          alaskaStream.lineStart();\n          hawaiiStream.lineStart();\n        },\n        lineEnd: function() {\n          lower48Stream.lineEnd();\n          alaskaStream.lineEnd();\n          hawaiiStream.lineEnd();\n        },\n        polygonStart: function() {\n          lower48Stream.polygonStart();\n          alaskaStream.polygonStart();\n          hawaiiStream.polygonStart();\n        },\n        polygonEnd: function() {\n          lower48Stream.polygonEnd();\n          alaskaStream.polygonEnd();\n          hawaiiStream.polygonEnd();\n        }\n      };\n    };\n    albersUsa.precision = function(_) {\n      if (!arguments.length) return lower48.precision();\n      lower48.precision(_);\n      alaska.precision(_);\n      hawaii.precision(_);\n      return albersUsa;\n    };\n    albersUsa.scale = function(_) {\n      if (!arguments.length) return lower48.scale();\n      lower48.scale(_);\n      alaska.scale(_ * .35);\n      hawaii.scale(_);\n      return albersUsa.translate(lower48.translate());\n    };\n    albersUsa.translate = function(_) {\n      if (!arguments.length) return lower48.translate();\n      var k = lower48.scale(), x = +_[0], y = +_[1];\n      lower48Point = lower48.translate(_).clipExtent([ [ x - .455 * k, y - .238 * k ], [ x + .455 * k, y + .238 * k ] ]).stream(pointStream).point;\n      alaskaPoint = alaska.translate([ x - .307 * k, y + .201 * k ]).clipExtent([ [ x - .425 * k + ε, y + .12 * k + ε ], [ x - .214 * k - ε, y + .234 * k - ε ] ]).stream(pointStream).point;\n      hawaiiPoint = hawaii.translate([ x - .205 * k, y + .212 * k ]).clipExtent([ [ x - .214 * k + ε, y + .166 * k + ε ], [ x - .115 * k - ε, y + .234 * k - ε ] ]).stream(pointStream).point;\n      return albersUsa;\n    };\n    return albersUsa.scale(1070);\n  };\n  var d3_geo_pathAreaSum, d3_geo_pathAreaPolygon, d3_geo_pathArea = {\n    point: d3_noop,\n    lineStart: d3_noop,\n    lineEnd: d3_noop,\n    polygonStart: function() {\n      d3_geo_pathAreaPolygon = 0;\n      d3_geo_pathArea.lineStart = d3_geo_pathAreaRingStart;\n    },\n    polygonEnd: function() {\n      d3_geo_pathArea.lineStart = d3_geo_pathArea.lineEnd = d3_geo_pathArea.point = d3_noop;\n      d3_geo_pathAreaSum += abs(d3_geo_pathAreaPolygon / 2);\n    }\n  };\n  function d3_geo_pathAreaRingStart() {\n    var x00, y00, x0, y0;\n    d3_geo_pathArea.point = function(x, y) {\n      d3_geo_pathArea.point = nextPoint;\n      x00 = x0 = x, y00 = y0 = y;\n    };\n    function nextPoint(x, y) {\n      d3_geo_pathAreaPolygon += y0 * x - x0 * y;\n      x0 = x, y0 = y;\n    }\n    d3_geo_pathArea.lineEnd = function() {\n      nextPoint(x00, y00);\n    };\n  }\n  var d3_geo_pathBoundsX0, d3_geo_pathBoundsY0, d3_geo_pathBoundsX1, d3_geo_pathBoundsY1;\n  var d3_geo_pathBounds = {\n    point: d3_geo_pathBoundsPoint,\n    lineStart: d3_noop,\n    lineEnd: d3_noop,\n    polygonStart: d3_noop,\n    polygonEnd: d3_noop\n  };\n  function d3_geo_pathBoundsPoint(x, y) {\n    if (x < d3_geo_pathBoundsX0) d3_geo_pathBoundsX0 = x;\n    if (x > d3_geo_pathBoundsX1) d3_geo_pathBoundsX1 = x;\n    if (y < d3_geo_pathBoundsY0) d3_geo_pathBoundsY0 = y;\n    if (y > d3_geo_pathBoundsY1) d3_geo_pathBoundsY1 = y;\n  }\n  function d3_geo_pathBuffer() {\n    var pointCircle = d3_geo_pathBufferCircle(4.5), buffer = [];\n    var stream = {\n      point: point,\n      lineStart: function() {\n        stream.point = pointLineStart;\n      },\n      lineEnd: lineEnd,\n      polygonStart: function() {\n        stream.lineEnd = lineEndPolygon;\n      },\n      polygonEnd: function() {\n        stream.lineEnd = lineEnd;\n        stream.point = point;\n      },\n      pointRadius: function(_) {\n        pointCircle = d3_geo_pathBufferCircle(_);\n        return stream;\n      },\n      result: function() {\n        if (buffer.length) {\n          var result = buffer.join(\"\");\n          buffer = [];\n          return result;\n        }\n      }\n    };\n    function point(x, y) {\n      buffer.push(\"M\", x, \",\", y, pointCircle);\n    }\n    function pointLineStart(x, y) {\n      buffer.push(\"M\", x, \",\", y);\n      stream.point = pointLine;\n    }\n    function pointLine(x, y) {\n      buffer.push(\"L\", x, \",\", y);\n    }\n    function lineEnd() {\n      stream.point = point;\n    }\n    function lineEndPolygon() {\n      buffer.push(\"Z\");\n    }\n    return stream;\n  }\n  function d3_geo_pathBufferCircle(radius) {\n    return \"m0,\" + radius + \"a\" + radius + \",\" + radius + \" 0 1,1 0,\" + -2 * radius + \"a\" + radius + \",\" + radius + \" 0 1,1 0,\" + 2 * radius + \"z\";\n  }\n  var d3_geo_pathCentroid = {\n    point: d3_geo_pathCentroidPoint,\n    lineStart: d3_geo_pathCentroidLineStart,\n    lineEnd: d3_geo_pathCentroidLineEnd,\n    polygonStart: function() {\n      d3_geo_pathCentroid.lineStart = d3_geo_pathCentroidRingStart;\n    },\n    polygonEnd: function() {\n      d3_geo_pathCentroid.point = d3_geo_pathCentroidPoint;\n      d3_geo_pathCentroid.lineStart = d3_geo_pathCentroidLineStart;\n      d3_geo_pathCentroid.lineEnd = d3_geo_pathCentroidLineEnd;\n    }\n  };\n  function d3_geo_pathCentroidPoint(x, y) {\n    d3_geo_centroidX0 += x;\n    d3_geo_centroidY0 += y;\n    ++d3_geo_centroidZ0;\n  }\n  function d3_geo_pathCentroidLineStart() {\n    var x0, y0;\n    d3_geo_pathCentroid.point = function(x, y) {\n      d3_geo_pathCentroid.point = nextPoint;\n      d3_geo_pathCentroidPoint(x0 = x, y0 = y);\n    };\n    function nextPoint(x, y) {\n      var dx = x - x0, dy = y - y0, z = Math.sqrt(dx * dx + dy * dy);\n      d3_geo_centroidX1 += z * (x0 + x) / 2;\n      d3_geo_centroidY1 += z * (y0 + y) / 2;\n      d3_geo_centroidZ1 += z;\n      d3_geo_pathCentroidPoint(x0 = x, y0 = y);\n    }\n  }\n  function d3_geo_pathCentroidLineEnd() {\n    d3_geo_pathCentroid.point = d3_geo_pathCentroidPoint;\n  }\n  function d3_geo_pathCentroidRingStart() {\n    var x00, y00, x0, y0;\n    d3_geo_pathCentroid.point = function(x, y) {\n      d3_geo_pathCentroid.point = nextPoint;\n      d3_geo_pathCentroidPoint(x00 = x0 = x, y00 = y0 = y);\n    };\n    function nextPoint(x, y) {\n      var dx = x - x0, dy = y - y0, z = Math.sqrt(dx * dx + dy * dy);\n      d3_geo_centroidX1 += z * (x0 + x) / 2;\n      d3_geo_centroidY1 += z * (y0 + y) / 2;\n      d3_geo_centroidZ1 += z;\n      z = y0 * x - x0 * y;\n      d3_geo_centroidX2 += z * (x0 + x);\n      d3_geo_centroidY2 += z * (y0 + y);\n      d3_geo_centroidZ2 += z * 3;\n      d3_geo_pathCentroidPoint(x0 = x, y0 = y);\n    }\n    d3_geo_pathCentroid.lineEnd = function() {\n      nextPoint(x00, y00);\n    };\n  }\n  function d3_geo_pathContext(context) {\n    var pointRadius = 4.5;\n    var stream = {\n      point: point,\n      lineStart: function() {\n        stream.point = pointLineStart;\n      },\n      lineEnd: lineEnd,\n      polygonStart: function() {\n        stream.lineEnd = lineEndPolygon;\n      },\n      polygonEnd: function() {\n        stream.lineEnd = lineEnd;\n        stream.point = point;\n      },\n      pointRadius: function(_) {\n        pointRadius = _;\n        return stream;\n      },\n      result: d3_noop\n    };\n    function point(x, y) {\n      context.moveTo(x + pointRadius, y);\n      context.arc(x, y, pointRadius, 0, τ);\n    }\n    function pointLineStart(x, y) {\n      context.moveTo(x, y);\n      stream.point = pointLine;\n    }\n    function pointLine(x, y) {\n      context.lineTo(x, y);\n    }\n    function lineEnd() {\n      stream.point = point;\n    }\n    function lineEndPolygon() {\n      context.closePath();\n    }\n    return stream;\n  }\n  function d3_geo_resample(project) {\n    var δ2 = .5, cosMinDistance = Math.cos(30 * d3_radians), maxDepth = 16;\n    function resample(stream) {\n      return (maxDepth ? resampleRecursive : resampleNone)(stream);\n    }\n    function resampleNone(stream) {\n      return d3_geo_transformPoint(stream, function(x, y) {\n        x = project(x, y);\n        stream.point(x[0], x[1]);\n      });\n    }\n    function resampleRecursive(stream) {\n      var λ00, φ00, x00, y00, a00, b00, c00, λ0, x0, y0, a0, b0, c0;\n      var resample = {\n        point: point,\n        lineStart: lineStart,\n        lineEnd: lineEnd,\n        polygonStart: function() {\n          stream.polygonStart();\n          resample.lineStart = ringStart;\n        },\n        polygonEnd: function() {\n          stream.polygonEnd();\n          resample.lineStart = lineStart;\n        }\n      };\n      function point(x, y) {\n        x = project(x, y);\n        stream.point(x[0], x[1]);\n      }\n      function lineStart() {\n        x0 = NaN;\n        resample.point = linePoint;\n        stream.lineStart();\n      }\n      function linePoint(λ, φ) {\n        var c = d3_geo_cartesian([ λ, φ ]), p = project(λ, φ);\n        resampleLineTo(x0, y0, λ0, a0, b0, c0, x0 = p[0], y0 = p[1], λ0 = λ, a0 = c[0], b0 = c[1], c0 = c[2], maxDepth, stream);\n        stream.point(x0, y0);\n      }\n      function lineEnd() {\n        resample.point = point;\n        stream.lineEnd();\n      }\n      function ringStart() {\n        lineStart();\n        resample.point = ringPoint;\n        resample.lineEnd = ringEnd;\n      }\n      function ringPoint(λ, φ) {\n        linePoint(λ00 = λ, φ00 = φ), x00 = x0, y00 = y0, a00 = a0, b00 = b0, c00 = c0;\n        resample.point = linePoint;\n      }\n      function ringEnd() {\n        resampleLineTo(x0, y0, λ0, a0, b0, c0, x00, y00, λ00, a00, b00, c00, maxDepth, stream);\n        resample.lineEnd = lineEnd;\n        lineEnd();\n      }\n      return resample;\n    }\n    function resampleLineTo(x0, y0, λ0, a0, b0, c0, x1, y1, λ1, a1, b1, c1, depth, stream) {\n      var dx = x1 - x0, dy = y1 - y0, d2 = dx * dx + dy * dy;\n      if (d2 > 4 * δ2 && depth--) {\n        var a = a0 + a1, b = b0 + b1, c = c0 + c1, m = Math.sqrt(a * a + b * b + c * c), φ2 = Math.asin(c /= m), λ2 = abs(abs(c) - 1) < ε || abs(λ0 - λ1) < ε ? (λ0 + λ1) / 2 : Math.atan2(b, a), p = project(λ2, φ2), x2 = p[0], y2 = p[1], dx2 = x2 - x0, dy2 = y2 - y0, dz = dy * dx2 - dx * dy2;\n        if (dz * dz / d2 > δ2 || abs((dx * dx2 + dy * dy2) / d2 - .5) > .3 || a0 * a1 + b0 * b1 + c0 * c1 < cosMinDistance) {\n          resampleLineTo(x0, y0, λ0, a0, b0, c0, x2, y2, λ2, a /= m, b /= m, c, depth, stream);\n          stream.point(x2, y2);\n          resampleLineTo(x2, y2, λ2, a, b, c, x1, y1, λ1, a1, b1, c1, depth, stream);\n        }\n      }\n    }\n    resample.precision = function(_) {\n      if (!arguments.length) return Math.sqrt(δ2);\n      maxDepth = (δ2 = _ * _) > 0 && 16;\n      return resample;\n    };\n    return resample;\n  }\n  d3.geo.path = function() {\n    var pointRadius = 4.5, projection, context, projectStream, contextStream, cacheStream;\n    function path(object) {\n      if (object) {\n        if (typeof pointRadius === \"function\") contextStream.pointRadius(+pointRadius.apply(this, arguments));\n        if (!cacheStream || !cacheStream.valid) cacheStream = projectStream(contextStream);\n        d3.geo.stream(object, cacheStream);\n      }\n      return contextStream.result();\n    }\n    path.area = function(object) {\n      d3_geo_pathAreaSum = 0;\n      d3.geo.stream(object, projectStream(d3_geo_pathArea));\n      return d3_geo_pathAreaSum;\n    };\n    path.centroid = function(object) {\n      d3_geo_centroidX0 = d3_geo_centroidY0 = d3_geo_centroidZ0 = d3_geo_centroidX1 = d3_geo_centroidY1 = d3_geo_centroidZ1 = d3_geo_centroidX2 = d3_geo_centroidY2 = d3_geo_centroidZ2 = 0;\n      d3.geo.stream(object, projectStream(d3_geo_pathCentroid));\n      return d3_geo_centroidZ2 ? [ d3_geo_centroidX2 / d3_geo_centroidZ2, d3_geo_centroidY2 / d3_geo_centroidZ2 ] : d3_geo_centroidZ1 ? [ d3_geo_centroidX1 / d3_geo_centroidZ1, d3_geo_centroidY1 / d3_geo_centroidZ1 ] : d3_geo_centroidZ0 ? [ d3_geo_centroidX0 / d3_geo_centroidZ0, d3_geo_centroidY0 / d3_geo_centroidZ0 ] : [ NaN, NaN ];\n    };\n    path.bounds = function(object) {\n      d3_geo_pathBoundsX1 = d3_geo_pathBoundsY1 = -(d3_geo_pathBoundsX0 = d3_geo_pathBoundsY0 = Infinity);\n      d3.geo.stream(object, projectStream(d3_geo_pathBounds));\n      return [ [ d3_geo_pathBoundsX0, d3_geo_pathBoundsY0 ], [ d3_geo_pathBoundsX1, d3_geo_pathBoundsY1 ] ];\n    };\n    path.projection = function(_) {\n      if (!arguments.length) return projection;\n      projectStream = (projection = _) ? _.stream || d3_geo_pathProjectStream(_) : d3_identity;\n      return reset();\n    };\n    path.context = function(_) {\n      if (!arguments.length) return context;\n      contextStream = (context = _) == null ? new d3_geo_pathBuffer() : new d3_geo_pathContext(_);\n      if (typeof pointRadius !== \"function\") contextStream.pointRadius(pointRadius);\n      return reset();\n    };\n    path.pointRadius = function(_) {\n      if (!arguments.length) return pointRadius;\n      pointRadius = typeof _ === \"function\" ? _ : (contextStream.pointRadius(+_), +_);\n      return path;\n    };\n    function reset() {\n      cacheStream = null;\n      return path;\n    }\n    return path.projection(d3.geo.albersUsa()).context(null);\n  };\n  function d3_geo_pathProjectStream(project) {\n    var resample = d3_geo_resample(function(x, y) {\n      return project([ x * d3_degrees, y * d3_degrees ]);\n    });\n    return function(stream) {\n      return d3_geo_projectionRadians(resample(stream));\n    };\n  }\n  d3.geo.transform = function(methods) {\n    return {\n      stream: function(stream) {\n        var transform = new d3_geo_transform(stream);\n        for (var k in methods) transform[k] = methods[k];\n        return transform;\n      }\n    };\n  };\n  function d3_geo_transform(stream) {\n    this.stream = stream;\n  }\n  d3_geo_transform.prototype = {\n    point: function(x, y) {\n      this.stream.point(x, y);\n    },\n    sphere: function() {\n      this.stream.sphere();\n    },\n    lineStart: function() {\n      this.stream.lineStart();\n    },\n    lineEnd: function() {\n      this.stream.lineEnd();\n    },\n    polygonStart: function() {\n      this.stream.polygonStart();\n    },\n    polygonEnd: function() {\n      this.stream.polygonEnd();\n    }\n  };\n  function d3_geo_transformPoint(stream, point) {\n    return {\n      point: point,\n      sphere: function() {\n        stream.sphere();\n      },\n      lineStart: function() {\n        stream.lineStart();\n      },\n      lineEnd: function() {\n        stream.lineEnd();\n      },\n      polygonStart: function() {\n        stream.polygonStart();\n      },\n      polygonEnd: function() {\n        stream.polygonEnd();\n      }\n    };\n  }\n  d3.geo.projection = d3_geo_projection;\n  d3.geo.projectionMutator = d3_geo_projectionMutator;\n  function d3_geo_projection(project) {\n    return d3_geo_projectionMutator(function() {\n      return project;\n    })();\n  }\n  function d3_geo_projectionMutator(projectAt) {\n    var project, rotate, projectRotate, projectResample = d3_geo_resample(function(x, y) {\n      x = project(x, y);\n      return [ x[0] * k + δx, δy - x[1] * k ];\n    }), k = 150, x = 480, y = 250, λ = 0, φ = 0, δλ = 0, δφ = 0, δγ = 0, δx, δy, preclip = d3_geo_clipAntimeridian, postclip = d3_identity, clipAngle = null, clipExtent = null, stream;\n    function projection(point) {\n      point = projectRotate(point[0] * d3_radians, point[1] * d3_radians);\n      return [ point[0] * k + δx, δy - point[1] * k ];\n    }\n    function invert(point) {\n      point = projectRotate.invert((point[0] - δx) / k, (δy - point[1]) / k);\n      return point && [ point[0] * d3_degrees, point[1] * d3_degrees ];\n    }\n    projection.stream = function(output) {\n      if (stream) stream.valid = false;\n      stream = d3_geo_projectionRadians(preclip(rotate, projectResample(postclip(output))));\n      stream.valid = true;\n      return stream;\n    };\n    projection.clipAngle = function(_) {\n      if (!arguments.length) return clipAngle;\n      preclip = _ == null ? (clipAngle = _, d3_geo_clipAntimeridian) : d3_geo_clipCircle((clipAngle = +_) * d3_radians);\n      return invalidate();\n    };\n    projection.clipExtent = function(_) {\n      if (!arguments.length) return clipExtent;\n      clipExtent = _;\n      postclip = _ ? d3_geo_clipExtent(_[0][0], _[0][1], _[1][0], _[1][1]) : d3_identity;\n      return invalidate();\n    };\n    projection.scale = function(_) {\n      if (!arguments.length) return k;\n      k = +_;\n      return reset();\n    };\n    projection.translate = function(_) {\n      if (!arguments.length) return [ x, y ];\n      x = +_[0];\n      y = +_[1];\n      return reset();\n    };\n    projection.center = function(_) {\n      if (!arguments.length) return [ λ * d3_degrees, φ * d3_degrees ];\n      λ = _[0] % 360 * d3_radians;\n      φ = _[1] % 360 * d3_radians;\n      return reset();\n    };\n    projection.rotate = function(_) {\n      if (!arguments.length) return [ δλ * d3_degrees, δφ * d3_degrees, δγ * d3_degrees ];\n      δλ = _[0] % 360 * d3_radians;\n      δφ = _[1] % 360 * d3_radians;\n      δγ = _.length > 2 ? _[2] % 360 * d3_radians : 0;\n      return reset();\n    };\n    d3.rebind(projection, projectResample, \"precision\");\n    function reset() {\n      projectRotate = d3_geo_compose(rotate = d3_geo_rotation(δλ, δφ, δγ), project);\n      var center = project(λ, φ);\n      δx = x - center[0] * k;\n      δy = y + center[1] * k;\n      return invalidate();\n    }\n    function invalidate() {\n      if (stream) stream.valid = false, stream = null;\n      return projection;\n    }\n    return function() {\n      project = projectAt.apply(this, arguments);\n      projection.invert = project.invert && invert;\n      return reset();\n    };\n  }\n  function d3_geo_projectionRadians(stream) {\n    return d3_geo_transformPoint(stream, function(x, y) {\n      stream.point(x * d3_radians, y * d3_radians);\n    });\n  }\n  function d3_geo_equirectangular(λ, φ) {\n    return [ λ, φ ];\n  }\n  (d3.geo.equirectangular = function() {\n    return d3_geo_projection(d3_geo_equirectangular);\n  }).raw = d3_geo_equirectangular.invert = d3_geo_equirectangular;\n  d3.geo.rotation = function(rotate) {\n    rotate = d3_geo_rotation(rotate[0] % 360 * d3_radians, rotate[1] * d3_radians, rotate.length > 2 ? rotate[2] * d3_radians : 0);\n    function forward(coordinates) {\n      coordinates = rotate(coordinates[0] * d3_radians, coordinates[1] * d3_radians);\n      return coordinates[0] *= d3_degrees, coordinates[1] *= d3_degrees, coordinates;\n    }\n    forward.invert = function(coordinates) {\n      coordinates = rotate.invert(coordinates[0] * d3_radians, coordinates[1] * d3_radians);\n      return coordinates[0] *= d3_degrees, coordinates[1] *= d3_degrees, coordinates;\n    };\n    return forward;\n  };\n  function d3_geo_identityRotation(λ, φ) {\n    return [ λ > π ? λ - τ : λ < -π ? λ + τ : λ, φ ];\n  }\n  d3_geo_identityRotation.invert = d3_geo_equirectangular;\n  function d3_geo_rotation(δλ, δφ, δγ) {\n    return δλ ? δφ || δγ ? d3_geo_compose(d3_geo_rotationλ(δλ), d3_geo_rotationφγ(δφ, δγ)) : d3_geo_rotationλ(δλ) : δφ || δγ ? d3_geo_rotationφγ(δφ, δγ) : d3_geo_identityRotation;\n  }\n  function d3_geo_forwardRotationλ(δλ) {\n    return function(λ, φ) {\n      return λ += δλ, [ λ > π ? λ - τ : λ < -π ? λ + τ : λ, φ ];\n    };\n  }\n  function d3_geo_rotationλ(δλ) {\n    var rotation = d3_geo_forwardRotationλ(δλ);\n    rotation.invert = d3_geo_forwardRotationλ(-δλ);\n    return rotation;\n  }\n  function d3_geo_rotationφγ(δφ, δγ) {\n    var cosδφ = Math.cos(δφ), sinδφ = Math.sin(δφ), cosδγ = Math.cos(δγ), sinδγ = Math.sin(δγ);\n    function rotation(λ, φ) {\n      var cosφ = Math.cos(φ), x = Math.cos(λ) * cosφ, y = Math.sin(λ) * cosφ, z = Math.sin(φ), k = z * cosδφ + x * sinδφ;\n      return [ Math.atan2(y * cosδγ - k * sinδγ, x * cosδφ - z * sinδφ), d3_asin(k * cosδγ + y * sinδγ) ];\n    }\n    rotation.invert = function(λ, φ) {\n      var cosφ = Math.cos(φ), x = Math.cos(λ) * cosφ, y = Math.sin(λ) * cosφ, z = Math.sin(φ), k = z * cosδγ - y * sinδγ;\n      return [ Math.atan2(y * cosδγ + z * sinδγ, x * cosδφ + k * sinδφ), d3_asin(k * cosδφ - x * sinδφ) ];\n    };\n    return rotation;\n  }\n  d3.geo.circle = function() {\n    var origin = [ 0, 0 ], angle, precision = 6, interpolate;\n    function circle() {\n      var center = typeof origin === \"function\" ? origin.apply(this, arguments) : origin, rotate = d3_geo_rotation(-center[0] * d3_radians, -center[1] * d3_radians, 0).invert, ring = [];\n      interpolate(null, null, 1, {\n        point: function(x, y) {\n          ring.push(x = rotate(x, y));\n          x[0] *= d3_degrees, x[1] *= d3_degrees;\n        }\n      });\n      return {\n        type: \"Polygon\",\n        coordinates: [ ring ]\n      };\n    }\n    circle.origin = function(x) {\n      if (!arguments.length) return origin;\n      origin = x;\n      return circle;\n    };\n    circle.angle = function(x) {\n      if (!arguments.length) return angle;\n      interpolate = d3_geo_circleInterpolate((angle = +x) * d3_radians, precision * d3_radians);\n      return circle;\n    };\n    circle.precision = function(_) {\n      if (!arguments.length) return precision;\n      interpolate = d3_geo_circleInterpolate(angle * d3_radians, (precision = +_) * d3_radians);\n      return circle;\n    };\n    return circle.angle(90);\n  };\n  function d3_geo_circleInterpolate(radius, precision) {\n    var cr = Math.cos(radius), sr = Math.sin(radius);\n    return function(from, to, direction, listener) {\n      var step = direction * precision;\n      if (from != null) {\n        from = d3_geo_circleAngle(cr, from);\n        to = d3_geo_circleAngle(cr, to);\n        if (direction > 0 ? from < to : from > to) from += direction * τ;\n      } else {\n        from = radius + direction * τ;\n        to = radius - .5 * step;\n      }\n      for (var point, t = from; direction > 0 ? t > to : t < to; t -= step) {\n        listener.point((point = d3_geo_spherical([ cr, -sr * Math.cos(t), -sr * Math.sin(t) ]))[0], point[1]);\n      }\n    };\n  }\n  function d3_geo_circleAngle(cr, point) {\n    var a = d3_geo_cartesian(point);\n    a[0] -= cr;\n    d3_geo_cartesianNormalize(a);\n    var angle = d3_acos(-a[1]);\n    return ((-a[2] < 0 ? -angle : angle) + 2 * Math.PI - ε) % (2 * Math.PI);\n  }\n  d3.geo.distance = function(a, b) {\n    var Δλ = (b[0] - a[0]) * d3_radians, φ0 = a[1] * d3_radians, φ1 = b[1] * d3_radians, sinΔλ = Math.sin(Δλ), cosΔλ = Math.cos(Δλ), sinφ0 = Math.sin(φ0), cosφ0 = Math.cos(φ0), sinφ1 = Math.sin(φ1), cosφ1 = Math.cos(φ1), t;\n    return Math.atan2(Math.sqrt((t = cosφ1 * sinΔλ) * t + (t = cosφ0 * sinφ1 - sinφ0 * cosφ1 * cosΔλ) * t), sinφ0 * sinφ1 + cosφ0 * cosφ1 * cosΔλ);\n  };\n  d3.geo.graticule = function() {\n    var x1, x0, X1, X0, y1, y0, Y1, Y0, dx = 10, dy = dx, DX = 90, DY = 360, x, y, X, Y, precision = 2.5;\n    function graticule() {\n      return {\n        type: \"MultiLineString\",\n        coordinates: lines()\n      };\n    }\n    function lines() {\n      return d3.range(Math.ceil(X0 / DX) * DX, X1, DX).map(X).concat(d3.range(Math.ceil(Y0 / DY) * DY, Y1, DY).map(Y)).concat(d3.range(Math.ceil(x0 / dx) * dx, x1, dx).filter(function(x) {\n        return abs(x % DX) > ε;\n      }).map(x)).concat(d3.range(Math.ceil(y0 / dy) * dy, y1, dy).filter(function(y) {\n        return abs(y % DY) > ε;\n      }).map(y));\n    }\n    graticule.lines = function() {\n      return lines().map(function(coordinates) {\n        return {\n          type: \"LineString\",\n          coordinates: coordinates\n        };\n      });\n    };\n    graticule.outline = function() {\n      return {\n        type: \"Polygon\",\n        coordinates: [ X(X0).concat(Y(Y1).slice(1), X(X1).reverse().slice(1), Y(Y0).reverse().slice(1)) ]\n      };\n    };\n    graticule.extent = function(_) {\n      if (!arguments.length) return graticule.minorExtent();\n      return graticule.majorExtent(_).minorExtent(_);\n    };\n    graticule.majorExtent = function(_) {\n      if (!arguments.length) return [ [ X0, Y0 ], [ X1, Y1 ] ];\n      X0 = +_[0][0], X1 = +_[1][0];\n      Y0 = +_[0][1], Y1 = +_[1][1];\n      if (X0 > X1) _ = X0, X0 = X1, X1 = _;\n      if (Y0 > Y1) _ = Y0, Y0 = Y1, Y1 = _;\n      return graticule.precision(precision);\n    };\n    graticule.minorExtent = function(_) {\n      if (!arguments.length) return [ [ x0, y0 ], [ x1, y1 ] ];\n      x0 = +_[0][0], x1 = +_[1][0];\n      y0 = +_[0][1], y1 = +_[1][1];\n      if (x0 > x1) _ = x0, x0 = x1, x1 = _;\n      if (y0 > y1) _ = y0, y0 = y1, y1 = _;\n      return graticule.precision(precision);\n    };\n    graticule.step = function(_) {\n      if (!arguments.length) return graticule.minorStep();\n      return graticule.majorStep(_).minorStep(_);\n    };\n    graticule.majorStep = function(_) {\n      if (!arguments.length) return [ DX, DY ];\n      DX = +_[0], DY = +_[1];\n      return graticule;\n    };\n    graticule.minorStep = function(_) {\n      if (!arguments.length) return [ dx, dy ];\n      dx = +_[0], dy = +_[1];\n      return graticule;\n    };\n    graticule.precision = function(_) {\n      if (!arguments.length) return precision;\n      precision = +_;\n      x = d3_geo_graticuleX(y0, y1, 90);\n      y = d3_geo_graticuleY(x0, x1, precision);\n      X = d3_geo_graticuleX(Y0, Y1, 90);\n      Y = d3_geo_graticuleY(X0, X1, precision);\n      return graticule;\n    };\n    return graticule.majorExtent([ [ -180, -90 + ε ], [ 180, 90 - ε ] ]).minorExtent([ [ -180, -80 - ε ], [ 180, 80 + ε ] ]);\n  };\n  function d3_geo_graticuleX(y0, y1, dy) {\n    var y = d3.range(y0, y1 - ε, dy).concat(y1);\n    return function(x) {\n      return y.map(function(y) {\n        return [ x, y ];\n      });\n    };\n  }\n  function d3_geo_graticuleY(x0, x1, dx) {\n    var x = d3.range(x0, x1 - ε, dx).concat(x1);\n    return function(y) {\n      return x.map(function(x) {\n        return [ x, y ];\n      });\n    };\n  }\n  function d3_source(d) {\n    return d.source;\n  }\n  function d3_target(d) {\n    return d.target;\n  }\n  d3.geo.greatArc = function() {\n    var source = d3_source, source_, target = d3_target, target_;\n    function greatArc() {\n      return {\n        type: \"LineString\",\n        coordinates: [ source_ || source.apply(this, arguments), target_ || target.apply(this, arguments) ]\n      };\n    }\n    greatArc.distance = function() {\n      return d3.geo.distance(source_ || source.apply(this, arguments), target_ || target.apply(this, arguments));\n    };\n    greatArc.source = function(_) {\n      if (!arguments.length) return source;\n      source = _, source_ = typeof _ === \"function\" ? null : _;\n      return greatArc;\n    };\n    greatArc.target = function(_) {\n      if (!arguments.length) return target;\n      target = _, target_ = typeof _ === \"function\" ? null : _;\n      return greatArc;\n    };\n    greatArc.precision = function() {\n      return arguments.length ? greatArc : 0;\n    };\n    return greatArc;\n  };\n  d3.geo.interpolate = function(source, target) {\n    return d3_geo_interpolate(source[0] * d3_radians, source[1] * d3_radians, target[0] * d3_radians, target[1] * d3_radians);\n  };\n  function d3_geo_interpolate(x0, y0, x1, y1) {\n    var cy0 = Math.cos(y0), sy0 = Math.sin(y0), cy1 = Math.cos(y1), sy1 = Math.sin(y1), kx0 = cy0 * Math.cos(x0), ky0 = cy0 * Math.sin(x0), kx1 = cy1 * Math.cos(x1), ky1 = cy1 * Math.sin(x1), d = 2 * Math.asin(Math.sqrt(d3_haversin(y1 - y0) + cy0 * cy1 * d3_haversin(x1 - x0))), k = 1 / Math.sin(d);\n    var interpolate = d ? function(t) {\n      var B = Math.sin(t *= d) * k, A = Math.sin(d - t) * k, x = A * kx0 + B * kx1, y = A * ky0 + B * ky1, z = A * sy0 + B * sy1;\n      return [ Math.atan2(y, x) * d3_degrees, Math.atan2(z, Math.sqrt(x * x + y * y)) * d3_degrees ];\n    } : function() {\n      return [ x0 * d3_degrees, y0 * d3_degrees ];\n    };\n    interpolate.distance = d;\n    return interpolate;\n  }\n  d3.geo.length = function(object) {\n    d3_geo_lengthSum = 0;\n    d3.geo.stream(object, d3_geo_length);\n    return d3_geo_lengthSum;\n  };\n  var d3_geo_lengthSum;\n  var d3_geo_length = {\n    sphere: d3_noop,\n    point: d3_noop,\n    lineStart: d3_geo_lengthLineStart,\n    lineEnd: d3_noop,\n    polygonStart: d3_noop,\n    polygonEnd: d3_noop\n  };\n  function d3_geo_lengthLineStart() {\n    var λ0, sinφ0, cosφ0;\n    d3_geo_length.point = function(λ, φ) {\n      λ0 = λ * d3_radians, sinφ0 = Math.sin(φ *= d3_radians), cosφ0 = Math.cos(φ);\n      d3_geo_length.point = nextPoint;\n    };\n    d3_geo_length.lineEnd = function() {\n      d3_geo_length.point = d3_geo_length.lineEnd = d3_noop;\n    };\n    function nextPoint(λ, φ) {\n      var sinφ = Math.sin(φ *= d3_radians), cosφ = Math.cos(φ), t = abs((λ *= d3_radians) - λ0), cosΔλ = Math.cos(t);\n      d3_geo_lengthSum += Math.atan2(Math.sqrt((t = cosφ * Math.sin(t)) * t + (t = cosφ0 * sinφ - sinφ0 * cosφ * cosΔλ) * t), sinφ0 * sinφ + cosφ0 * cosφ * cosΔλ);\n      λ0 = λ, sinφ0 = sinφ, cosφ0 = cosφ;\n    }\n  }\n  function d3_geo_azimuthal(scale, angle) {\n    function azimuthal(λ, φ) {\n      var cosλ = Math.cos(λ), cosφ = Math.cos(φ), k = scale(cosλ * cosφ);\n      return [ k * cosφ * Math.sin(λ), k * Math.sin(φ) ];\n    }\n    azimuthal.invert = function(x, y) {\n      var ρ = Math.sqrt(x * x + y * y), c = angle(ρ), sinc = Math.sin(c), cosc = Math.cos(c);\n      return [ Math.atan2(x * sinc, ρ * cosc), Math.asin(ρ && y * sinc / ρ) ];\n    };\n    return azimuthal;\n  }\n  var d3_geo_azimuthalEqualArea = d3_geo_azimuthal(function(cosλcosφ) {\n    return Math.sqrt(2 / (1 + cosλcosφ));\n  }, function(ρ) {\n    return 2 * Math.asin(ρ / 2);\n  });\n  (d3.geo.azimuthalEqualArea = function() {\n    return d3_geo_projection(d3_geo_azimuthalEqualArea);\n  }).raw = d3_geo_azimuthalEqualArea;\n  var d3_geo_azimuthalEquidistant = d3_geo_azimuthal(function(cosλcosφ) {\n    var c = Math.acos(cosλcosφ);\n    return c && c / Math.sin(c);\n  }, d3_identity);\n  (d3.geo.azimuthalEquidistant = function() {\n    return d3_geo_projection(d3_geo_azimuthalEquidistant);\n  }).raw = d3_geo_azimuthalEquidistant;\n  function d3_geo_conicConformal(φ0, φ1) {\n    var cosφ0 = Math.cos(φ0), t = function(φ) {\n      return Math.tan(π / 4 + φ / 2);\n    }, n = φ0 === φ1 ? Math.sin(φ0) : Math.log(cosφ0 / Math.cos(φ1)) / Math.log(t(φ1) / t(φ0)), F = cosφ0 * Math.pow(t(φ0), n) / n;\n    if (!n) return d3_geo_mercator;\n    function forward(λ, φ) {\n      if (F > 0) {\n        if (φ < -halfπ + ε) φ = -halfπ + ε;\n      } else {\n        if (φ > halfπ - ε) φ = halfπ - ε;\n      }\n      var ρ = F / Math.pow(t(φ), n);\n      return [ ρ * Math.sin(n * λ), F - ρ * Math.cos(n * λ) ];\n    }\n    forward.invert = function(x, y) {\n      var ρ0_y = F - y, ρ = d3_sgn(n) * Math.sqrt(x * x + ρ0_y * ρ0_y);\n      return [ Math.atan2(x, ρ0_y) / n, 2 * Math.atan(Math.pow(F / ρ, 1 / n)) - halfπ ];\n    };\n    return forward;\n  }\n  (d3.geo.conicConformal = function() {\n    return d3_geo_conic(d3_geo_conicConformal);\n  }).raw = d3_geo_conicConformal;\n  function d3_geo_conicEquidistant(φ0, φ1) {\n    var cosφ0 = Math.cos(φ0), n = φ0 === φ1 ? Math.sin(φ0) : (cosφ0 - Math.cos(φ1)) / (φ1 - φ0), G = cosφ0 / n + φ0;\n    if (abs(n) < ε) return d3_geo_equirectangular;\n    function forward(λ, φ) {\n      var ρ = G - φ;\n      return [ ρ * Math.sin(n * λ), G - ρ * Math.cos(n * λ) ];\n    }\n    forward.invert = function(x, y) {\n      var ρ0_y = G - y;\n      return [ Math.atan2(x, ρ0_y) / n, G - d3_sgn(n) * Math.sqrt(x * x + ρ0_y * ρ0_y) ];\n    };\n    return forward;\n  }\n  (d3.geo.conicEquidistant = function() {\n    return d3_geo_conic(d3_geo_conicEquidistant);\n  }).raw = d3_geo_conicEquidistant;\n  var d3_geo_gnomonic = d3_geo_azimuthal(function(cosλcosφ) {\n    return 1 / cosλcosφ;\n  }, Math.atan);\n  (d3.geo.gnomonic = function() {\n    return d3_geo_projection(d3_geo_gnomonic);\n  }).raw = d3_geo_gnomonic;\n  function d3_geo_mercator(λ, φ) {\n    return [ λ, Math.log(Math.tan(π / 4 + φ / 2)) ];\n  }\n  d3_geo_mercator.invert = function(x, y) {\n    return [ x, 2 * Math.atan(Math.exp(y)) - halfπ ];\n  };\n  function d3_geo_mercatorProjection(project) {\n    var m = d3_geo_projection(project), scale = m.scale, translate = m.translate, clipExtent = m.clipExtent, clipAuto;\n    m.scale = function() {\n      var v = scale.apply(m, arguments);\n      return v === m ? clipAuto ? m.clipExtent(null) : m : v;\n    };\n    m.translate = function() {\n      var v = translate.apply(m, arguments);\n      return v === m ? clipAuto ? m.clipExtent(null) : m : v;\n    };\n    m.clipExtent = function(_) {\n      var v = clipExtent.apply(m, arguments);\n      if (v === m) {\n        if (clipAuto = _ == null) {\n          var k = π * scale(), t = translate();\n          clipExtent([ [ t[0] - k, t[1] - k ], [ t[0] + k, t[1] + k ] ]);\n        }\n      } else if (clipAuto) {\n        v = null;\n      }\n      return v;\n    };\n    return m.clipExtent(null);\n  }\n  (d3.geo.mercator = function() {\n    return d3_geo_mercatorProjection(d3_geo_mercator);\n  }).raw = d3_geo_mercator;\n  var d3_geo_orthographic = d3_geo_azimuthal(function() {\n    return 1;\n  }, Math.asin);\n  (d3.geo.orthographic = function() {\n    return d3_geo_projection(d3_geo_orthographic);\n  }).raw = d3_geo_orthographic;\n  var d3_geo_stereographic = d3_geo_azimuthal(function(cosλcosφ) {\n    return 1 / (1 + cosλcosφ);\n  }, function(ρ) {\n    return 2 * Math.atan(ρ);\n  });\n  (d3.geo.stereographic = function() {\n    return d3_geo_projection(d3_geo_stereographic);\n  }).raw = d3_geo_stereographic;\n  function d3_geo_transverseMercator(λ, φ) {\n    return [ Math.log(Math.tan(π / 4 + φ / 2)), -λ ];\n  }\n  d3_geo_transverseMercator.invert = function(x, y) {\n    return [ -y, 2 * Math.atan(Math.exp(x)) - halfπ ];\n  };\n  (d3.geo.transverseMercator = function() {\n    var projection = d3_geo_mercatorProjection(d3_geo_transverseMercator), center = projection.center, rotate = projection.rotate;\n    projection.center = function(_) {\n      return _ ? center([ -_[1], _[0] ]) : (_ = center(), [ _[1], -_[0] ]);\n    };\n    projection.rotate = function(_) {\n      return _ ? rotate([ _[0], _[1], _.length > 2 ? _[2] + 90 : 90 ]) : (_ = rotate(), \n      [ _[0], _[1], _[2] - 90 ]);\n    };\n    return rotate([ 0, 0, 90 ]);\n  }).raw = d3_geo_transverseMercator;\n  d3.geom = {};\n  function d3_geom_pointX(d) {\n    return d[0];\n  }\n  function d3_geom_pointY(d) {\n    return d[1];\n  }\n  d3.geom.hull = function(vertices) {\n    var x = d3_geom_pointX, y = d3_geom_pointY;\n    if (arguments.length) return hull(vertices);\n    function hull(data) {\n      if (data.length < 3) return [];\n      var fx = d3_functor(x), fy = d3_functor(y), i, n = data.length, points = [], flippedPoints = [];\n      for (i = 0; i < n; i++) {\n        points.push([ +fx.call(this, data[i], i), +fy.call(this, data[i], i), i ]);\n      }\n      points.sort(d3_geom_hullOrder);\n      for (i = 0; i < n; i++) flippedPoints.push([ points[i][0], -points[i][1] ]);\n      var upper = d3_geom_hullUpper(points), lower = d3_geom_hullUpper(flippedPoints);\n      var skipLeft = lower[0] === upper[0], skipRight = lower[lower.length - 1] === upper[upper.length - 1], polygon = [];\n      for (i = upper.length - 1; i >= 0; --i) polygon.push(data[points[upper[i]][2]]);\n      for (i = +skipLeft; i < lower.length - skipRight; ++i) polygon.push(data[points[lower[i]][2]]);\n      return polygon;\n    }\n    hull.x = function(_) {\n      return arguments.length ? (x = _, hull) : x;\n    };\n    hull.y = function(_) {\n      return arguments.length ? (y = _, hull) : y;\n    };\n    return hull;\n  };\n  function d3_geom_hullUpper(points) {\n    var n = points.length, hull = [ 0, 1 ], hs = 2;\n    for (var i = 2; i < n; i++) {\n      while (hs > 1 && d3_cross2d(points[hull[hs - 2]], points[hull[hs - 1]], points[i]) <= 0) --hs;\n      hull[hs++] = i;\n    }\n    return hull.slice(0, hs);\n  }\n  function d3_geom_hullOrder(a, b) {\n    return a[0] - b[0] || a[1] - b[1];\n  }\n  d3.geom.polygon = function(coordinates) {\n    d3_subclass(coordinates, d3_geom_polygonPrototype);\n    return coordinates;\n  };\n  var d3_geom_polygonPrototype = d3.geom.polygon.prototype = [];\n  d3_geom_polygonPrototype.area = function() {\n    var i = -1, n = this.length, a, b = this[n - 1], area = 0;\n    while (++i < n) {\n      a = b;\n      b = this[i];\n      area += a[1] * b[0] - a[0] * b[1];\n    }\n    return area * .5;\n  };\n  d3_geom_polygonPrototype.centroid = function(k) {\n    var i = -1, n = this.length, x = 0, y = 0, a, b = this[n - 1], c;\n    if (!arguments.length) k = -1 / (6 * this.area());\n    while (++i < n) {\n      a = b;\n      b = this[i];\n      c = a[0] * b[1] - b[0] * a[1];\n      x += (a[0] + b[0]) * c;\n      y += (a[1] + b[1]) * c;\n    }\n    return [ x * k, y * k ];\n  };\n  d3_geom_polygonPrototype.clip = function(subject) {\n    var input, closed = d3_geom_polygonClosed(subject), i = -1, n = this.length - d3_geom_polygonClosed(this), j, m, a = this[n - 1], b, c, d;\n    while (++i < n) {\n      input = subject.slice();\n      subject.length = 0;\n      b = this[i];\n      c = input[(m = input.length - closed) - 1];\n      j = -1;\n      while (++j < m) {\n        d = input[j];\n        if (d3_geom_polygonInside(d, a, b)) {\n          if (!d3_geom_polygonInside(c, a, b)) {\n            subject.push(d3_geom_polygonIntersect(c, d, a, b));\n          }\n          subject.push(d);\n        } else if (d3_geom_polygonInside(c, a, b)) {\n          subject.push(d3_geom_polygonIntersect(c, d, a, b));\n        }\n        c = d;\n      }\n      if (closed) subject.push(subject[0]);\n      a = b;\n    }\n    return subject;\n  };\n  function d3_geom_polygonInside(p, a, b) {\n    return (b[0] - a[0]) * (p[1] - a[1]) < (b[1] - a[1]) * (p[0] - a[0]);\n  }\n  function d3_geom_polygonIntersect(c, d, a, b) {\n    var x1 = c[0], x3 = a[0], x21 = d[0] - x1, x43 = b[0] - x3, y1 = c[1], y3 = a[1], y21 = d[1] - y1, y43 = b[1] - y3, ua = (x43 * (y1 - y3) - y43 * (x1 - x3)) / (y43 * x21 - x43 * y21);\n    return [ x1 + ua * x21, y1 + ua * y21 ];\n  }\n  function d3_geom_polygonClosed(coordinates) {\n    var a = coordinates[0], b = coordinates[coordinates.length - 1];\n    return !(a[0] - b[0] || a[1] - b[1]);\n  }\n  var d3_geom_voronoiEdges, d3_geom_voronoiCells, d3_geom_voronoiBeaches, d3_geom_voronoiBeachPool = [], d3_geom_voronoiFirstCircle, d3_geom_voronoiCircles, d3_geom_voronoiCirclePool = [];\n  function d3_geom_voronoiBeach() {\n    d3_geom_voronoiRedBlackNode(this);\n    this.edge = this.site = this.circle = null;\n  }\n  function d3_geom_voronoiCreateBeach(site) {\n    var beach = d3_geom_voronoiBeachPool.pop() || new d3_geom_voronoiBeach();\n    beach.site = site;\n    return beach;\n  }\n  function d3_geom_voronoiDetachBeach(beach) {\n    d3_geom_voronoiDetachCircle(beach);\n    d3_geom_voronoiBeaches.remove(beach);\n    d3_geom_voronoiBeachPool.push(beach);\n    d3_geom_voronoiRedBlackNode(beach);\n  }\n  function d3_geom_voronoiRemoveBeach(beach) {\n    var circle = beach.circle, x = circle.x, y = circle.cy, vertex = {\n      x: x,\n      y: y\n    }, previous = beach.P, next = beach.N, disappearing = [ beach ];\n    d3_geom_voronoiDetachBeach(beach);\n    var lArc = previous;\n    while (lArc.circle && abs(x - lArc.circle.x) < ε && abs(y - lArc.circle.cy) < ε) {\n      previous = lArc.P;\n      disappearing.unshift(lArc);\n      d3_geom_voronoiDetachBeach(lArc);\n      lArc = previous;\n    }\n    disappearing.unshift(lArc);\n    d3_geom_voronoiDetachCircle(lArc);\n    var rArc = next;\n    while (rArc.circle && abs(x - rArc.circle.x) < ε && abs(y - rArc.circle.cy) < ε) {\n      next = rArc.N;\n      disappearing.push(rArc);\n      d3_geom_voronoiDetachBeach(rArc);\n      rArc = next;\n    }\n    disappearing.push(rArc);\n    d3_geom_voronoiDetachCircle(rArc);\n    var nArcs = disappearing.length, iArc;\n    for (iArc = 1; iArc < nArcs; ++iArc) {\n      rArc = disappearing[iArc];\n      lArc = disappearing[iArc - 1];\n      d3_geom_voronoiSetEdgeEnd(rArc.edge, lArc.site, rArc.site, vertex);\n    }\n    lArc = disappearing[0];\n    rArc = disappearing[nArcs - 1];\n    rArc.edge = d3_geom_voronoiCreateEdge(lArc.site, rArc.site, null, vertex);\n    d3_geom_voronoiAttachCircle(lArc);\n    d3_geom_voronoiAttachCircle(rArc);\n  }\n  function d3_geom_voronoiAddBeach(site) {\n    var x = site.x, directrix = site.y, lArc, rArc, dxl, dxr, node = d3_geom_voronoiBeaches._;\n    while (node) {\n      dxl = d3_geom_voronoiLeftBreakPoint(node, directrix) - x;\n      if (dxl > ε) node = node.L; else {\n        dxr = x - d3_geom_voronoiRightBreakPoint(node, directrix);\n        if (dxr > ε) {\n          if (!node.R) {\n            lArc = node;\n            break;\n          }\n          node = node.R;\n        } else {\n          if (dxl > -ε) {\n            lArc = node.P;\n            rArc = node;\n          } else if (dxr > -ε) {\n            lArc = node;\n            rArc = node.N;\n          } else {\n            lArc = rArc = node;\n          }\n          break;\n        }\n      }\n    }\n    var newArc = d3_geom_voronoiCreateBeach(site);\n    d3_geom_voronoiBeaches.insert(lArc, newArc);\n    if (!lArc && !rArc) return;\n    if (lArc === rArc) {\n      d3_geom_voronoiDetachCircle(lArc);\n      rArc = d3_geom_voronoiCreateBeach(lArc.site);\n      d3_geom_voronoiBeaches.insert(newArc, rArc);\n      newArc.edge = rArc.edge = d3_geom_voronoiCreateEdge(lArc.site, newArc.site);\n      d3_geom_voronoiAttachCircle(lArc);\n      d3_geom_voronoiAttachCircle(rArc);\n      return;\n    }\n    if (!rArc) {\n      newArc.edge = d3_geom_voronoiCreateEdge(lArc.site, newArc.site);\n      return;\n    }\n    d3_geom_voronoiDetachCircle(lArc);\n    d3_geom_voronoiDetachCircle(rArc);\n    var lSite = lArc.site, ax = lSite.x, ay = lSite.y, bx = site.x - ax, by = site.y - ay, rSite = rArc.site, cx = rSite.x - ax, cy = rSite.y - ay, d = 2 * (bx * cy - by * cx), hb = bx * bx + by * by, hc = cx * cx + cy * cy, vertex = {\n      x: (cy * hb - by * hc) / d + ax,\n      y: (bx * hc - cx * hb) / d + ay\n    };\n    d3_geom_voronoiSetEdgeEnd(rArc.edge, lSite, rSite, vertex);\n    newArc.edge = d3_geom_voronoiCreateEdge(lSite, site, null, vertex);\n    rArc.edge = d3_geom_voronoiCreateEdge(site, rSite, null, vertex);\n    d3_geom_voronoiAttachCircle(lArc);\n    d3_geom_voronoiAttachCircle(rArc);\n  }\n  function d3_geom_voronoiLeftBreakPoint(arc, directrix) {\n    var site = arc.site, rfocx = site.x, rfocy = site.y, pby2 = rfocy - directrix;\n    if (!pby2) return rfocx;\n    var lArc = arc.P;\n    if (!lArc) return -Infinity;\n    site = lArc.site;\n    var lfocx = site.x, lfocy = site.y, plby2 = lfocy - directrix;\n    if (!plby2) return lfocx;\n    var hl = lfocx - rfocx, aby2 = 1 / pby2 - 1 / plby2, b = hl / plby2;\n    if (aby2) return (-b + Math.sqrt(b * b - 2 * aby2 * (hl * hl / (-2 * plby2) - lfocy + plby2 / 2 + rfocy - pby2 / 2))) / aby2 + rfocx;\n    return (rfocx + lfocx) / 2;\n  }\n  function d3_geom_voronoiRightBreakPoint(arc, directrix) {\n    var rArc = arc.N;\n    if (rArc) return d3_geom_voronoiLeftBreakPoint(rArc, directrix);\n    var site = arc.site;\n    return site.y === directrix ? site.x : Infinity;\n  }\n  function d3_geom_voronoiCell(site) {\n    this.site = site;\n    this.edges = [];\n  }\n  d3_geom_voronoiCell.prototype.prepare = function() {\n    var halfEdges = this.edges, iHalfEdge = halfEdges.length, edge;\n    while (iHalfEdge--) {\n      edge = halfEdges[iHalfEdge].edge;\n      if (!edge.b || !edge.a) halfEdges.splice(iHalfEdge, 1);\n    }\n    halfEdges.sort(d3_geom_voronoiHalfEdgeOrder);\n    return halfEdges.length;\n  };\n  function d3_geom_voronoiCloseCells(extent) {\n    var x0 = extent[0][0], x1 = extent[1][0], y0 = extent[0][1], y1 = extent[1][1], x2, y2, x3, y3, cells = d3_geom_voronoiCells, iCell = cells.length, cell, iHalfEdge, halfEdges, nHalfEdges, start, end;\n    while (iCell--) {\n      cell = cells[iCell];\n      if (!cell || !cell.prepare()) continue;\n      halfEdges = cell.edges;\n      nHalfEdges = halfEdges.length;\n      iHalfEdge = 0;\n      while (iHalfEdge < nHalfEdges) {\n        end = halfEdges[iHalfEdge].end(), x3 = end.x, y3 = end.y;\n        start = halfEdges[++iHalfEdge % nHalfEdges].start(), x2 = start.x, y2 = start.y;\n        if (abs(x3 - x2) > ε || abs(y3 - y2) > ε) {\n          halfEdges.splice(iHalfEdge, 0, new d3_geom_voronoiHalfEdge(d3_geom_voronoiCreateBorderEdge(cell.site, end, abs(x3 - x0) < ε && y1 - y3 > ε ? {\n            x: x0,\n            y: abs(x2 - x0) < ε ? y2 : y1\n          } : abs(y3 - y1) < ε && x1 - x3 > ε ? {\n            x: abs(y2 - y1) < ε ? x2 : x1,\n            y: y1\n          } : abs(x3 - x1) < ε && y3 - y0 > ε ? {\n            x: x1,\n            y: abs(x2 - x1) < ε ? y2 : y0\n          } : abs(y3 - y0) < ε && x3 - x0 > ε ? {\n            x: abs(y2 - y0) < ε ? x2 : x0,\n            y: y0\n          } : null), cell.site, null));\n          ++nHalfEdges;\n        }\n      }\n    }\n  }\n  function d3_geom_voronoiHalfEdgeOrder(a, b) {\n    return b.angle - a.angle;\n  }\n  function d3_geom_voronoiCircle() {\n    d3_geom_voronoiRedBlackNode(this);\n    this.x = this.y = this.arc = this.site = this.cy = null;\n  }\n  function d3_geom_voronoiAttachCircle(arc) {\n    var lArc = arc.P, rArc = arc.N;\n    if (!lArc || !rArc) return;\n    var lSite = lArc.site, cSite = arc.site, rSite = rArc.site;\n    if (lSite === rSite) return;\n    var bx = cSite.x, by = cSite.y, ax = lSite.x - bx, ay = lSite.y - by, cx = rSite.x - bx, cy = rSite.y - by;\n    var d = 2 * (ax * cy - ay * cx);\n    if (d >= -ε2) return;\n    var ha = ax * ax + ay * ay, hc = cx * cx + cy * cy, x = (cy * ha - ay * hc) / d, y = (ax * hc - cx * ha) / d, cy = y + by;\n    var circle = d3_geom_voronoiCirclePool.pop() || new d3_geom_voronoiCircle();\n    circle.arc = arc;\n    circle.site = cSite;\n    circle.x = x + bx;\n    circle.y = cy + Math.sqrt(x * x + y * y);\n    circle.cy = cy;\n    arc.circle = circle;\n    var before = null, node = d3_geom_voronoiCircles._;\n    while (node) {\n      if (circle.y < node.y || circle.y === node.y && circle.x <= node.x) {\n        if (node.L) node = node.L; else {\n          before = node.P;\n          break;\n        }\n      } else {\n        if (node.R) node = node.R; else {\n          before = node;\n          break;\n        }\n      }\n    }\n    d3_geom_voronoiCircles.insert(before, circle);\n    if (!before) d3_geom_voronoiFirstCircle = circle;\n  }\n  function d3_geom_voronoiDetachCircle(arc) {\n    var circle = arc.circle;\n    if (circle) {\n      if (!circle.P) d3_geom_voronoiFirstCircle = circle.N;\n      d3_geom_voronoiCircles.remove(circle);\n      d3_geom_voronoiCirclePool.push(circle);\n      d3_geom_voronoiRedBlackNode(circle);\n      arc.circle = null;\n    }\n  }\n  function d3_geom_voronoiClipEdges(extent) {\n    var edges = d3_geom_voronoiEdges, clip = d3_geom_clipLine(extent[0][0], extent[0][1], extent[1][0], extent[1][1]), i = edges.length, e;\n    while (i--) {\n      e = edges[i];\n      if (!d3_geom_voronoiConnectEdge(e, extent) || !clip(e) || abs(e.a.x - e.b.x) < ε && abs(e.a.y - e.b.y) < ε) {\n        e.a = e.b = null;\n        edges.splice(i, 1);\n      }\n    }\n  }\n  function d3_geom_voronoiConnectEdge(edge, extent) {\n    var vb = edge.b;\n    if (vb) return true;\n    var va = edge.a, x0 = extent[0][0], x1 = extent[1][0], y0 = extent[0][1], y1 = extent[1][1], lSite = edge.l, rSite = edge.r, lx = lSite.x, ly = lSite.y, rx = rSite.x, ry = rSite.y, fx = (lx + rx) / 2, fy = (ly + ry) / 2, fm, fb;\n    if (ry === ly) {\n      if (fx < x0 || fx >= x1) return;\n      if (lx > rx) {\n        if (!va) va = {\n          x: fx,\n          y: y0\n        }; else if (va.y >= y1) return;\n        vb = {\n          x: fx,\n          y: y1\n        };\n      } else {\n        if (!va) va = {\n          x: fx,\n          y: y1\n        }; else if (va.y < y0) return;\n        vb = {\n          x: fx,\n          y: y0\n        };\n      }\n    } else {\n      fm = (lx - rx) / (ry - ly);\n      fb = fy - fm * fx;\n      if (fm < -1 || fm > 1) {\n        if (lx > rx) {\n          if (!va) va = {\n            x: (y0 - fb) / fm,\n            y: y0\n          }; else if (va.y >= y1) return;\n          vb = {\n            x: (y1 - fb) / fm,\n            y: y1\n          };\n        } else {\n          if (!va) va = {\n            x: (y1 - fb) / fm,\n            y: y1\n          }; else if (va.y < y0) return;\n          vb = {\n            x: (y0 - fb) / fm,\n            y: y0\n          };\n        }\n      } else {\n        if (ly < ry) {\n          if (!va) va = {\n            x: x0,\n            y: fm * x0 + fb\n          }; else if (va.x >= x1) return;\n          vb = {\n            x: x1,\n            y: fm * x1 + fb\n          };\n        } else {\n          if (!va) va = {\n            x: x1,\n            y: fm * x1 + fb\n          }; else if (va.x < x0) return;\n          vb = {\n            x: x0,\n            y: fm * x0 + fb\n          };\n        }\n      }\n    }\n    edge.a = va;\n    edge.b = vb;\n    return true;\n  }\n  function d3_geom_voronoiEdge(lSite, rSite) {\n    this.l = lSite;\n    this.r = rSite;\n    this.a = this.b = null;\n  }\n  function d3_geom_voronoiCreateEdge(lSite, rSite, va, vb) {\n    var edge = new d3_geom_voronoiEdge(lSite, rSite);\n    d3_geom_voronoiEdges.push(edge);\n    if (va) d3_geom_voronoiSetEdgeEnd(edge, lSite, rSite, va);\n    if (vb) d3_geom_voronoiSetEdgeEnd(edge, rSite, lSite, vb);\n    d3_geom_voronoiCells[lSite.i].edges.push(new d3_geom_voronoiHalfEdge(edge, lSite, rSite));\n    d3_geom_voronoiCells[rSite.i].edges.push(new d3_geom_voronoiHalfEdge(edge, rSite, lSite));\n    return edge;\n  }\n  function d3_geom_voronoiCreateBorderEdge(lSite, va, vb) {\n    var edge = new d3_geom_voronoiEdge(lSite, null);\n    edge.a = va;\n    edge.b = vb;\n    d3_geom_voronoiEdges.push(edge);\n    return edge;\n  }\n  function d3_geom_voronoiSetEdgeEnd(edge, lSite, rSite, vertex) {\n    if (!edge.a && !edge.b) {\n      edge.a = vertex;\n      edge.l = lSite;\n      edge.r = rSite;\n    } else if (edge.l === rSite) {\n      edge.b = vertex;\n    } else {\n      edge.a = vertex;\n    }\n  }\n  function d3_geom_voronoiHalfEdge(edge, lSite, rSite) {\n    var va = edge.a, vb = edge.b;\n    this.edge = edge;\n    this.site = lSite;\n    this.angle = rSite ? Math.atan2(rSite.y - lSite.y, rSite.x - lSite.x) : edge.l === lSite ? Math.atan2(vb.x - va.x, va.y - vb.y) : Math.atan2(va.x - vb.x, vb.y - va.y);\n  }\n  d3_geom_voronoiHalfEdge.prototype = {\n    start: function() {\n      return this.edge.l === this.site ? this.edge.a : this.edge.b;\n    },\n    end: function() {\n      return this.edge.l === this.site ? this.edge.b : this.edge.a;\n    }\n  };\n  function d3_geom_voronoiRedBlackTree() {\n    this._ = null;\n  }\n  function d3_geom_voronoiRedBlackNode(node) {\n    node.U = node.C = node.L = node.R = node.P = node.N = null;\n  }\n  d3_geom_voronoiRedBlackTree.prototype = {\n    insert: function(after, node) {\n      var parent, grandpa, uncle;\n      if (after) {\n        node.P = after;\n        node.N = after.N;\n        if (after.N) after.N.P = node;\n        after.N = node;\n        if (after.R) {\n          after = after.R;\n          while (after.L) after = after.L;\n          after.L = node;\n        } else {\n          after.R = node;\n        }\n        parent = after;\n      } else if (this._) {\n        after = d3_geom_voronoiRedBlackFirst(this._);\n        node.P = null;\n        node.N = after;\n        after.P = after.L = node;\n        parent = after;\n      } else {\n        node.P = node.N = null;\n        this._ = node;\n        parent = null;\n      }\n      node.L = node.R = null;\n      node.U = parent;\n      node.C = true;\n      after = node;\n      while (parent && parent.C) {\n        grandpa = parent.U;\n        if (parent === grandpa.L) {\n          uncle = grandpa.R;\n          if (uncle && uncle.C) {\n            parent.C = uncle.C = false;\n            grandpa.C = true;\n            after = grandpa;\n          } else {\n            if (after === parent.R) {\n              d3_geom_voronoiRedBlackRotateLeft(this, parent);\n              after = parent;\n              parent = after.U;\n            }\n            parent.C = false;\n            grandpa.C = true;\n            d3_geom_voronoiRedBlackRotateRight(this, grandpa);\n          }\n        } else {\n          uncle = grandpa.L;\n          if (uncle && uncle.C) {\n            parent.C = uncle.C = false;\n            grandpa.C = true;\n            after = grandpa;\n          } else {\n            if (after === parent.L) {\n              d3_geom_voronoiRedBlackRotateRight(this, parent);\n              after = parent;\n              parent = after.U;\n            }\n            parent.C = false;\n            grandpa.C = true;\n            d3_geom_voronoiRedBlackRotateLeft(this, grandpa);\n          }\n        }\n        parent = after.U;\n      }\n      this._.C = false;\n    },\n    remove: function(node) {\n      if (node.N) node.N.P = node.P;\n      if (node.P) node.P.N = node.N;\n      node.N = node.P = null;\n      var parent = node.U, sibling, left = node.L, right = node.R, next, red;\n      if (!left) next = right; else if (!right) next = left; else next = d3_geom_voronoiRedBlackFirst(right);\n      if (parent) {\n        if (parent.L === node) parent.L = next; else parent.R = next;\n      } else {\n        this._ = next;\n      }\n      if (left && right) {\n        red = next.C;\n        next.C = node.C;\n        next.L = left;\n        left.U = next;\n        if (next !== right) {\n          parent = next.U;\n          next.U = node.U;\n          node = next.R;\n          parent.L = node;\n          next.R = right;\n          right.U = next;\n        } else {\n          next.U = parent;\n          parent = next;\n          node = next.R;\n        }\n      } else {\n        red = node.C;\n        node = next;\n      }\n      if (node) node.U = parent;\n      if (red) return;\n      if (node && node.C) {\n        node.C = false;\n        return;\n      }\n      do {\n        if (node === this._) break;\n        if (node === parent.L) {\n          sibling = parent.R;\n          if (sibling.C) {\n            sibling.C = false;\n            parent.C = true;\n            d3_geom_voronoiRedBlackRotateLeft(this, parent);\n            sibling = parent.R;\n          }\n          if (sibling.L && sibling.L.C || sibling.R && sibling.R.C) {\n            if (!sibling.R || !sibling.R.C) {\n              sibling.L.C = false;\n              sibling.C = true;\n              d3_geom_voronoiRedBlackRotateRight(this, sibling);\n              sibling = parent.R;\n            }\n            sibling.C = parent.C;\n            parent.C = sibling.R.C = false;\n            d3_geom_voronoiRedBlackRotateLeft(this, parent);\n            node = this._;\n            break;\n          }\n        } else {\n          sibling = parent.L;\n          if (sibling.C) {\n            sibling.C = false;\n            parent.C = true;\n            d3_geom_voronoiRedBlackRotateRight(this, parent);\n            sibling = parent.L;\n          }\n          if (sibling.L && sibling.L.C || sibling.R && sibling.R.C) {\n            if (!sibling.L || !sibling.L.C) {\n              sibling.R.C = false;\n              sibling.C = true;\n              d3_geom_voronoiRedBlackRotateLeft(this, sibling);\n              sibling = parent.L;\n            }\n            sibling.C = parent.C;\n            parent.C = sibling.L.C = false;\n            d3_geom_voronoiRedBlackRotateRight(this, parent);\n            node = this._;\n            break;\n          }\n        }\n        sibling.C = true;\n        node = parent;\n        parent = parent.U;\n      } while (!node.C);\n      if (node) node.C = false;\n    }\n  };\n  function d3_geom_voronoiRedBlackRotateLeft(tree, node) {\n    var p = node, q = node.R, parent = p.U;\n    if (parent) {\n      if (parent.L === p) parent.L = q; else parent.R = q;\n    } else {\n      tree._ = q;\n    }\n    q.U = parent;\n    p.U = q;\n    p.R = q.L;\n    if (p.R) p.R.U = p;\n    q.L = p;\n  }\n  function d3_geom_voronoiRedBlackRotateRight(tree, node) {\n    var p = node, q = node.L, parent = p.U;\n    if (parent) {\n      if (parent.L === p) parent.L = q; else parent.R = q;\n    } else {\n      tree._ = q;\n    }\n    q.U = parent;\n    p.U = q;\n    p.L = q.R;\n    if (p.L) p.L.U = p;\n    q.R = p;\n  }\n  function d3_geom_voronoiRedBlackFirst(node) {\n    while (node.L) node = node.L;\n    return node;\n  }\n  function d3_geom_voronoi(sites, bbox) {\n    var site = sites.sort(d3_geom_voronoiVertexOrder).pop(), x0, y0, circle;\n    d3_geom_voronoiEdges = [];\n    d3_geom_voronoiCells = new Array(sites.length);\n    d3_geom_voronoiBeaches = new d3_geom_voronoiRedBlackTree();\n    d3_geom_voronoiCircles = new d3_geom_voronoiRedBlackTree();\n    while (true) {\n      circle = d3_geom_voronoiFirstCircle;\n      if (site && (!circle || site.y < circle.y || site.y === circle.y && site.x < circle.x)) {\n        if (site.x !== x0 || site.y !== y0) {\n          d3_geom_voronoiCells[site.i] = new d3_geom_voronoiCell(site);\n          d3_geom_voronoiAddBeach(site);\n          x0 = site.x, y0 = site.y;\n        }\n        site = sites.pop();\n      } else if (circle) {\n        d3_geom_voronoiRemoveBeach(circle.arc);\n      } else {\n        break;\n      }\n    }\n    if (bbox) d3_geom_voronoiClipEdges(bbox), d3_geom_voronoiCloseCells(bbox);\n    var diagram = {\n      cells: d3_geom_voronoiCells,\n      edges: d3_geom_voronoiEdges\n    };\n    d3_geom_voronoiBeaches = d3_geom_voronoiCircles = d3_geom_voronoiEdges = d3_geom_voronoiCells = null;\n    return diagram;\n  }\n  function d3_geom_voronoiVertexOrder(a, b) {\n    return b.y - a.y || b.x - a.x;\n  }\n  d3.geom.voronoi = function(points) {\n    var x = d3_geom_pointX, y = d3_geom_pointY, fx = x, fy = y, clipExtent = d3_geom_voronoiClipExtent;\n    if (points) return voronoi(points);\n    function voronoi(data) {\n      var polygons = new Array(data.length), x0 = clipExtent[0][0], y0 = clipExtent[0][1], x1 = clipExtent[1][0], y1 = clipExtent[1][1];\n      d3_geom_voronoi(sites(data), clipExtent).cells.forEach(function(cell, i) {\n        var edges = cell.edges, site = cell.site, polygon = polygons[i] = edges.length ? edges.map(function(e) {\n          var s = e.start();\n          return [ s.x, s.y ];\n        }) : site.x >= x0 && site.x <= x1 && site.y >= y0 && site.y <= y1 ? [ [ x0, y1 ], [ x1, y1 ], [ x1, y0 ], [ x0, y0 ] ] : [];\n        polygon.point = data[i];\n      });\n      return polygons;\n    }\n    function sites(data) {\n      return data.map(function(d, i) {\n        return {\n          x: Math.round(fx(d, i) / ε) * ε,\n          y: Math.round(fy(d, i) / ε) * ε,\n          i: i\n        };\n      });\n    }\n    voronoi.links = function(data) {\n      return d3_geom_voronoi(sites(data)).edges.filter(function(edge) {\n        return edge.l && edge.r;\n      }).map(function(edge) {\n        return {\n          source: data[edge.l.i],\n          target: data[edge.r.i]\n        };\n      });\n    };\n    voronoi.triangles = function(data) {\n      var triangles = [];\n      d3_geom_voronoi(sites(data)).cells.forEach(function(cell, i) {\n        var site = cell.site, edges = cell.edges.sort(d3_geom_voronoiHalfEdgeOrder), j = -1, m = edges.length, e0, s0, e1 = edges[m - 1].edge, s1 = e1.l === site ? e1.r : e1.l;\n        while (++j < m) {\n          e0 = e1;\n          s0 = s1;\n          e1 = edges[j].edge;\n          s1 = e1.l === site ? e1.r : e1.l;\n          if (i < s0.i && i < s1.i && d3_geom_voronoiTriangleArea(site, s0, s1) < 0) {\n            triangles.push([ data[i], data[s0.i], data[s1.i] ]);\n          }\n        }\n      });\n      return triangles;\n    };\n    voronoi.x = function(_) {\n      return arguments.length ? (fx = d3_functor(x = _), voronoi) : x;\n    };\n    voronoi.y = function(_) {\n      return arguments.length ? (fy = d3_functor(y = _), voronoi) : y;\n    };\n    voronoi.clipExtent = function(_) {\n      if (!arguments.length) return clipExtent === d3_geom_voronoiClipExtent ? null : clipExtent;\n      clipExtent = _ == null ? d3_geom_voronoiClipExtent : _;\n      return voronoi;\n    };\n    voronoi.size = function(_) {\n      if (!arguments.length) return clipExtent === d3_geom_voronoiClipExtent ? null : clipExtent && clipExtent[1];\n      return voronoi.clipExtent(_ && [ [ 0, 0 ], _ ]);\n    };\n    return voronoi;\n  };\n  var d3_geom_voronoiClipExtent = [ [ -1e6, -1e6 ], [ 1e6, 1e6 ] ];\n  function d3_geom_voronoiTriangleArea(a, b, c) {\n    return (a.x - c.x) * (b.y - a.y) - (a.x - b.x) * (c.y - a.y);\n  }\n  d3.geom.delaunay = function(vertices) {\n    return d3.geom.voronoi().triangles(vertices);\n  };\n  d3.geom.quadtree = function(points, x1, y1, x2, y2) {\n    var x = d3_geom_pointX, y = d3_geom_pointY, compat;\n    if (compat = arguments.length) {\n      x = d3_geom_quadtreeCompatX;\n      y = d3_geom_quadtreeCompatY;\n      if (compat === 3) {\n        y2 = y1;\n        x2 = x1;\n        y1 = x1 = 0;\n      }\n      return quadtree(points);\n    }\n    function quadtree(data) {\n      var d, fx = d3_functor(x), fy = d3_functor(y), xs, ys, i, n, x1_, y1_, x2_, y2_;\n      if (x1 != null) {\n        x1_ = x1, y1_ = y1, x2_ = x2, y2_ = y2;\n      } else {\n        x2_ = y2_ = -(x1_ = y1_ = Infinity);\n        xs = [], ys = [];\n        n = data.length;\n        if (compat) for (i = 0; i < n; ++i) {\n          d = data[i];\n          if (d.x < x1_) x1_ = d.x;\n          if (d.y < y1_) y1_ = d.y;\n          if (d.x > x2_) x2_ = d.x;\n          if (d.y > y2_) y2_ = d.y;\n          xs.push(d.x);\n          ys.push(d.y);\n        } else for (i = 0; i < n; ++i) {\n          var x_ = +fx(d = data[i], i), y_ = +fy(d, i);\n          if (x_ < x1_) x1_ = x_;\n          if (y_ < y1_) y1_ = y_;\n          if (x_ > x2_) x2_ = x_;\n          if (y_ > y2_) y2_ = y_;\n          xs.push(x_);\n          ys.push(y_);\n        }\n      }\n      var dx = x2_ - x1_, dy = y2_ - y1_;\n      if (dx > dy) y2_ = y1_ + dx; else x2_ = x1_ + dy;\n      function insert(n, d, x, y, x1, y1, x2, y2) {\n        if (isNaN(x) || isNaN(y)) return;\n        if (n.leaf) {\n          var nx = n.x, ny = n.y;\n          if (nx != null) {\n            if (abs(nx - x) + abs(ny - y) < .01) {\n              insertChild(n, d, x, y, x1, y1, x2, y2);\n            } else {\n              var nPoint = n.point;\n              n.x = n.y = n.point = null;\n              insertChild(n, nPoint, nx, ny, x1, y1, x2, y2);\n              insertChild(n, d, x, y, x1, y1, x2, y2);\n            }\n          } else {\n            n.x = x, n.y = y, n.point = d;\n          }\n        } else {\n          insertChild(n, d, x, y, x1, y1, x2, y2);\n        }\n      }\n      function insertChild(n, d, x, y, x1, y1, x2, y2) {\n        var xm = (x1 + x2) * .5, ym = (y1 + y2) * .5, right = x >= xm, below = y >= ym, i = below << 1 | right;\n        n.leaf = false;\n        n = n.nodes[i] || (n.nodes[i] = d3_geom_quadtreeNode());\n        if (right) x1 = xm; else x2 = xm;\n        if (below) y1 = ym; else y2 = ym;\n        insert(n, d, x, y, x1, y1, x2, y2);\n      }\n      var root = d3_geom_quadtreeNode();\n      root.add = function(d) {\n        insert(root, d, +fx(d, ++i), +fy(d, i), x1_, y1_, x2_, y2_);\n      };\n      root.visit = function(f) {\n        d3_geom_quadtreeVisit(f, root, x1_, y1_, x2_, y2_);\n      };\n      root.find = function(point) {\n        return d3_geom_quadtreeFind(root, point[0], point[1], x1_, y1_, x2_, y2_);\n      };\n      i = -1;\n      if (x1 == null) {\n        while (++i < n) {\n          insert(root, data[i], xs[i], ys[i], x1_, y1_, x2_, y2_);\n        }\n        --i;\n      } else data.forEach(root.add);\n      xs = ys = data = d = null;\n      return root;\n    }\n    quadtree.x = function(_) {\n      return arguments.length ? (x = _, quadtree) : x;\n    };\n    quadtree.y = function(_) {\n      return arguments.length ? (y = _, quadtree) : y;\n    };\n    quadtree.extent = function(_) {\n      if (!arguments.length) return x1 == null ? null : [ [ x1, y1 ], [ x2, y2 ] ];\n      if (_ == null) x1 = y1 = x2 = y2 = null; else x1 = +_[0][0], y1 = +_[0][1], x2 = +_[1][0], \n      y2 = +_[1][1];\n      return quadtree;\n    };\n    quadtree.size = function(_) {\n      if (!arguments.length) return x1 == null ? null : [ x2 - x1, y2 - y1 ];\n      if (_ == null) x1 = y1 = x2 = y2 = null; else x1 = y1 = 0, x2 = +_[0], y2 = +_[1];\n      return quadtree;\n    };\n    return quadtree;\n  };\n  function d3_geom_quadtreeCompatX(d) {\n    return d.x;\n  }\n  function d3_geom_quadtreeCompatY(d) {\n    return d.y;\n  }\n  function d3_geom_quadtreeNode() {\n    return {\n      leaf: true,\n      nodes: [],\n      point: null,\n      x: null,\n      y: null\n    };\n  }\n  function d3_geom_quadtreeVisit(f, node, x1, y1, x2, y2) {\n    if (!f(node, x1, y1, x2, y2)) {\n      var sx = (x1 + x2) * .5, sy = (y1 + y2) * .5, children = node.nodes;\n      if (children[0]) d3_geom_quadtreeVisit(f, children[0], x1, y1, sx, sy);\n      if (children[1]) d3_geom_quadtreeVisit(f, children[1], sx, y1, x2, sy);\n      if (children[2]) d3_geom_quadtreeVisit(f, children[2], x1, sy, sx, y2);\n      if (children[3]) d3_geom_quadtreeVisit(f, children[3], sx, sy, x2, y2);\n    }\n  }\n  function d3_geom_quadtreeFind(root, x, y, x0, y0, x3, y3) {\n    var minDistance2 = Infinity, closestPoint;\n    (function find(node, x1, y1, x2, y2) {\n      if (x1 > x3 || y1 > y3 || x2 < x0 || y2 < y0) return;\n      if (point = node.point) {\n        var point, dx = x - node.x, dy = y - node.y, distance2 = dx * dx + dy * dy;\n        if (distance2 < minDistance2) {\n          var distance = Math.sqrt(minDistance2 = distance2);\n          x0 = x - distance, y0 = y - distance;\n          x3 = x + distance, y3 = y + distance;\n          closestPoint = point;\n        }\n      }\n      var children = node.nodes, xm = (x1 + x2) * .5, ym = (y1 + y2) * .5, right = x >= xm, below = y >= ym;\n      for (var i = below << 1 | right, j = i + 4; i < j; ++i) {\n        if (node = children[i & 3]) switch (i & 3) {\n         case 0:\n          find(node, x1, y1, xm, ym);\n          break;\n\n         case 1:\n          find(node, xm, y1, x2, ym);\n          break;\n\n         case 2:\n          find(node, x1, ym, xm, y2);\n          break;\n\n         case 3:\n          find(node, xm, ym, x2, y2);\n          break;\n        }\n      }\n    })(root, x0, y0, x3, y3);\n    return closestPoint;\n  }\n  d3.interpolateRgb = d3_interpolateRgb;\n  function d3_interpolateRgb(a, b) {\n    a = d3.rgb(a);\n    b = d3.rgb(b);\n    var ar = a.r, ag = a.g, ab = a.b, br = b.r - ar, bg = b.g - ag, bb = b.b - ab;\n    return function(t) {\n      return \"#\" + d3_rgb_hex(Math.round(ar + br * t)) + d3_rgb_hex(Math.round(ag + bg * t)) + d3_rgb_hex(Math.round(ab + bb * t));\n    };\n  }\n  d3.interpolateObject = d3_interpolateObject;\n  function d3_interpolateObject(a, b) {\n    var i = {}, c = {}, k;\n    for (k in a) {\n      if (k in b) {\n        i[k] = d3_interpolate(a[k], b[k]);\n      } else {\n        c[k] = a[k];\n      }\n    }\n    for (k in b) {\n      if (!(k in a)) {\n        c[k] = b[k];\n      }\n    }\n    return function(t) {\n      for (k in i) c[k] = i[k](t);\n      return c;\n    };\n  }\n  d3.interpolateNumber = d3_interpolateNumber;\n  function d3_interpolateNumber(a, b) {\n    a = +a, b = +b;\n    return function(t) {\n      return a * (1 - t) + b * t;\n    };\n  }\n  d3.interpolateString = d3_interpolateString;\n  function d3_interpolateString(a, b) {\n    var bi = d3_interpolate_numberA.lastIndex = d3_interpolate_numberB.lastIndex = 0, am, bm, bs, i = -1, s = [], q = [];\n    a = a + \"\", b = b + \"\";\n    while ((am = d3_interpolate_numberA.exec(a)) && (bm = d3_interpolate_numberB.exec(b))) {\n      if ((bs = bm.index) > bi) {\n        bs = b.slice(bi, bs);\n        if (s[i]) s[i] += bs; else s[++i] = bs;\n      }\n      if ((am = am[0]) === (bm = bm[0])) {\n        if (s[i]) s[i] += bm; else s[++i] = bm;\n      } else {\n        s[++i] = null;\n        q.push({\n          i: i,\n          x: d3_interpolateNumber(am, bm)\n        });\n      }\n      bi = d3_interpolate_numberB.lastIndex;\n    }\n    if (bi < b.length) {\n      bs = b.slice(bi);\n      if (s[i]) s[i] += bs; else s[++i] = bs;\n    }\n    return s.length < 2 ? q[0] ? (b = q[0].x, function(t) {\n      return b(t) + \"\";\n    }) : function() {\n      return b;\n    } : (b = q.length, function(t) {\n      for (var i = 0, o; i < b; ++i) s[(o = q[i]).i] = o.x(t);\n      return s.join(\"\");\n    });\n  }\n  var d3_interpolate_numberA = /[-+]?(?:\\d+\\.?\\d*|\\.?\\d+)(?:[eE][-+]?\\d+)?/g, d3_interpolate_numberB = new RegExp(d3_interpolate_numberA.source, \"g\");\n  d3.interpolate = d3_interpolate;\n  function d3_interpolate(a, b) {\n    var i = d3.interpolators.length, f;\n    while (--i >= 0 && !(f = d3.interpolators[i](a, b))) ;\n    return f;\n  }\n  d3.interpolators = [ function(a, b) {\n    var t = typeof b;\n    return (t === \"string\" ? d3_rgb_names.has(b.toLowerCase()) || /^(#|rgb\\(|hsl\\()/i.test(b) ? d3_interpolateRgb : d3_interpolateString : b instanceof d3_color ? d3_interpolateRgb : Array.isArray(b) ? d3_interpolateArray : t === \"object\" && isNaN(b) ? d3_interpolateObject : d3_interpolateNumber)(a, b);\n  } ];\n  d3.interpolateArray = d3_interpolateArray;\n  function d3_interpolateArray(a, b) {\n    var x = [], c = [], na = a.length, nb = b.length, n0 = Math.min(a.length, b.length), i;\n    for (i = 0; i < n0; ++i) x.push(d3_interpolate(a[i], b[i]));\n    for (;i < na; ++i) c[i] = a[i];\n    for (;i < nb; ++i) c[i] = b[i];\n    return function(t) {\n      for (i = 0; i < n0; ++i) c[i] = x[i](t);\n      return c;\n    };\n  }\n  var d3_ease_default = function() {\n    return d3_identity;\n  };\n  var d3_ease = d3.map({\n    linear: d3_ease_default,\n    poly: d3_ease_poly,\n    quad: function() {\n      return d3_ease_quad;\n    },\n    cubic: function() {\n      return d3_ease_cubic;\n    },\n    sin: function() {\n      return d3_ease_sin;\n    },\n    exp: function() {\n      return d3_ease_exp;\n    },\n    circle: function() {\n      return d3_ease_circle;\n    },\n    elastic: d3_ease_elastic,\n    back: d3_ease_back,\n    bounce: function() {\n      return d3_ease_bounce;\n    }\n  });\n  var d3_ease_mode = d3.map({\n    \"in\": d3_identity,\n    out: d3_ease_reverse,\n    \"in-out\": d3_ease_reflect,\n    \"out-in\": function(f) {\n      return d3_ease_reflect(d3_ease_reverse(f));\n    }\n  });\n  d3.ease = function(name) {\n    var i = name.indexOf(\"-\"), t = i >= 0 ? name.slice(0, i) : name, m = i >= 0 ? name.slice(i + 1) : \"in\";\n    t = d3_ease.get(t) || d3_ease_default;\n    m = d3_ease_mode.get(m) || d3_identity;\n    return d3_ease_clamp(m(t.apply(null, d3_arraySlice.call(arguments, 1))));\n  };\n  function d3_ease_clamp(f) {\n    return function(t) {\n      return t <= 0 ? 0 : t >= 1 ? 1 : f(t);\n    };\n  }\n  function d3_ease_reverse(f) {\n    return function(t) {\n      return 1 - f(1 - t);\n    };\n  }\n  function d3_ease_reflect(f) {\n    return function(t) {\n      return .5 * (t < .5 ? f(2 * t) : 2 - f(2 - 2 * t));\n    };\n  }\n  function d3_ease_quad(t) {\n    return t * t;\n  }\n  function d3_ease_cubic(t) {\n    return t * t * t;\n  }\n  function d3_ease_cubicInOut(t) {\n    if (t <= 0) return 0;\n    if (t >= 1) return 1;\n    var t2 = t * t, t3 = t2 * t;\n    return 4 * (t < .5 ? t3 : 3 * (t - t2) + t3 - .75);\n  }\n  function d3_ease_poly(e) {\n    return function(t) {\n      return Math.pow(t, e);\n    };\n  }\n  function d3_ease_sin(t) {\n    return 1 - Math.cos(t * halfπ);\n  }\n  function d3_ease_exp(t) {\n    return Math.pow(2, 10 * (t - 1));\n  }\n  function d3_ease_circle(t) {\n    return 1 - Math.sqrt(1 - t * t);\n  }\n  function d3_ease_elastic(a, p) {\n    var s;\n    if (arguments.length < 2) p = .45;\n    if (arguments.length) s = p / τ * Math.asin(1 / a); else a = 1, s = p / 4;\n    return function(t) {\n      return 1 + a * Math.pow(2, -10 * t) * Math.sin((t - s) * τ / p);\n    };\n  }\n  function d3_ease_back(s) {\n    if (!s) s = 1.70158;\n    return function(t) {\n      return t * t * ((s + 1) * t - s);\n    };\n  }\n  function d3_ease_bounce(t) {\n    return t < 1 / 2.75 ? 7.5625 * t * t : t < 2 / 2.75 ? 7.5625 * (t -= 1.5 / 2.75) * t + .75 : t < 2.5 / 2.75 ? 7.5625 * (t -= 2.25 / 2.75) * t + .9375 : 7.5625 * (t -= 2.625 / 2.75) * t + .984375;\n  }\n  d3.interpolateHcl = d3_interpolateHcl;\n  function d3_interpolateHcl(a, b) {\n    a = d3.hcl(a);\n    b = d3.hcl(b);\n    var ah = a.h, ac = a.c, al = a.l, bh = b.h - ah, bc = b.c - ac, bl = b.l - al;\n    if (isNaN(bc)) bc = 0, ac = isNaN(ac) ? b.c : ac;\n    if (isNaN(bh)) bh = 0, ah = isNaN(ah) ? b.h : ah; else if (bh > 180) bh -= 360; else if (bh < -180) bh += 360;\n    return function(t) {\n      return d3_hcl_lab(ah + bh * t, ac + bc * t, al + bl * t) + \"\";\n    };\n  }\n  d3.interpolateHsl = d3_interpolateHsl;\n  function d3_interpolateHsl(a, b) {\n    a = d3.hsl(a);\n    b = d3.hsl(b);\n    var ah = a.h, as = a.s, al = a.l, bh = b.h - ah, bs = b.s - as, bl = b.l - al;\n    if (isNaN(bs)) bs = 0, as = isNaN(as) ? b.s : as;\n    if (isNaN(bh)) bh = 0, ah = isNaN(ah) ? b.h : ah; else if (bh > 180) bh -= 360; else if (bh < -180) bh += 360;\n    return function(t) {\n      return d3_hsl_rgb(ah + bh * t, as + bs * t, al + bl * t) + \"\";\n    };\n  }\n  d3.interpolateLab = d3_interpolateLab;\n  function d3_interpolateLab(a, b) {\n    a = d3.lab(a);\n    b = d3.lab(b);\n    var al = a.l, aa = a.a, ab = a.b, bl = b.l - al, ba = b.a - aa, bb = b.b - ab;\n    return function(t) {\n      return d3_lab_rgb(al + bl * t, aa + ba * t, ab + bb * t) + \"\";\n    };\n  }\n  d3.interpolateRound = d3_interpolateRound;\n  function d3_interpolateRound(a, b) {\n    b -= a;\n    return function(t) {\n      return Math.round(a + b * t);\n    };\n  }\n  d3.transform = function(string) {\n    var g = d3_document.createElementNS(d3.ns.prefix.svg, \"g\");\n    return (d3.transform = function(string) {\n      if (string != null) {\n        g.setAttribute(\"transform\", string);\n        var t = g.transform.baseVal.consolidate();\n      }\n      return new d3_transform(t ? t.matrix : d3_transformIdentity);\n    })(string);\n  };\n  function d3_transform(m) {\n    var r0 = [ m.a, m.b ], r1 = [ m.c, m.d ], kx = d3_transformNormalize(r0), kz = d3_transformDot(r0, r1), ky = d3_transformNormalize(d3_transformCombine(r1, r0, -kz)) || 0;\n    if (r0[0] * r1[1] < r1[0] * r0[1]) {\n      r0[0] *= -1;\n      r0[1] *= -1;\n      kx *= -1;\n      kz *= -1;\n    }\n    this.rotate = (kx ? Math.atan2(r0[1], r0[0]) : Math.atan2(-r1[0], r1[1])) * d3_degrees;\n    this.translate = [ m.e, m.f ];\n    this.scale = [ kx, ky ];\n    this.skew = ky ? Math.atan2(kz, ky) * d3_degrees : 0;\n  }\n  d3_transform.prototype.toString = function() {\n    return \"translate(\" + this.translate + \")rotate(\" + this.rotate + \")skewX(\" + this.skew + \")scale(\" + this.scale + \")\";\n  };\n  function d3_transformDot(a, b) {\n    return a[0] * b[0] + a[1] * b[1];\n  }\n  function d3_transformNormalize(a) {\n    var k = Math.sqrt(d3_transformDot(a, a));\n    if (k) {\n      a[0] /= k;\n      a[1] /= k;\n    }\n    return k;\n  }\n  function d3_transformCombine(a, b, k) {\n    a[0] += k * b[0];\n    a[1] += k * b[1];\n    return a;\n  }\n  var d3_transformIdentity = {\n    a: 1,\n    b: 0,\n    c: 0,\n    d: 1,\n    e: 0,\n    f: 0\n  };\n  d3.interpolateTransform = d3_interpolateTransform;\n  function d3_interpolateTransformPop(s) {\n    return s.length ? s.pop() + \",\" : \"\";\n  }\n  function d3_interpolateTranslate(ta, tb, s, q) {\n    if (ta[0] !== tb[0] || ta[1] !== tb[1]) {\n      var i = s.push(\"translate(\", null, \",\", null, \")\");\n      q.push({\n        i: i - 4,\n        x: d3_interpolateNumber(ta[0], tb[0])\n      }, {\n        i: i - 2,\n        x: d3_interpolateNumber(ta[1], tb[1])\n      });\n    } else if (tb[0] || tb[1]) {\n      s.push(\"translate(\" + tb + \")\");\n    }\n  }\n  function d3_interpolateRotate(ra, rb, s, q) {\n    if (ra !== rb) {\n      if (ra - rb > 180) rb += 360; else if (rb - ra > 180) ra += 360;\n      q.push({\n        i: s.push(d3_interpolateTransformPop(s) + \"rotate(\", null, \")\") - 2,\n        x: d3_interpolateNumber(ra, rb)\n      });\n    } else if (rb) {\n      s.push(d3_interpolateTransformPop(s) + \"rotate(\" + rb + \")\");\n    }\n  }\n  function d3_interpolateSkew(wa, wb, s, q) {\n    if (wa !== wb) {\n      q.push({\n        i: s.push(d3_interpolateTransformPop(s) + \"skewX(\", null, \")\") - 2,\n        x: d3_interpolateNumber(wa, wb)\n      });\n    } else if (wb) {\n      s.push(d3_interpolateTransformPop(s) + \"skewX(\" + wb + \")\");\n    }\n  }\n  function d3_interpolateScale(ka, kb, s, q) {\n    if (ka[0] !== kb[0] || ka[1] !== kb[1]) {\n      var i = s.push(d3_interpolateTransformPop(s) + \"scale(\", null, \",\", null, \")\");\n      q.push({\n        i: i - 4,\n        x: d3_interpolateNumber(ka[0], kb[0])\n      }, {\n        i: i - 2,\n        x: d3_interpolateNumber(ka[1], kb[1])\n      });\n    } else if (kb[0] !== 1 || kb[1] !== 1) {\n      s.push(d3_interpolateTransformPop(s) + \"scale(\" + kb + \")\");\n    }\n  }\n  function d3_interpolateTransform(a, b) {\n    var s = [], q = [];\n    a = d3.transform(a), b = d3.transform(b);\n    d3_interpolateTranslate(a.translate, b.translate, s, q);\n    d3_interpolateRotate(a.rotate, b.rotate, s, q);\n    d3_interpolateSkew(a.skew, b.skew, s, q);\n    d3_interpolateScale(a.scale, b.scale, s, q);\n    a = b = null;\n    return function(t) {\n      var i = -1, n = q.length, o;\n      while (++i < n) s[(o = q[i]).i] = o.x(t);\n      return s.join(\"\");\n    };\n  }\n  function d3_uninterpolateNumber(a, b) {\n    b = (b -= a = +a) || 1 / b;\n    return function(x) {\n      return (x - a) / b;\n    };\n  }\n  function d3_uninterpolateClamp(a, b) {\n    b = (b -= a = +a) || 1 / b;\n    return function(x) {\n      return Math.max(0, Math.min(1, (x - a) / b));\n    };\n  }\n  d3.layout = {};\n  d3.layout.bundle = function() {\n    return function(links) {\n      var paths = [], i = -1, n = links.length;\n      while (++i < n) paths.push(d3_layout_bundlePath(links[i]));\n      return paths;\n    };\n  };\n  function d3_layout_bundlePath(link) {\n    var start = link.source, end = link.target, lca = d3_layout_bundleLeastCommonAncestor(start, end), points = [ start ];\n    while (start !== lca) {\n      start = start.parent;\n      points.push(start);\n    }\n    var k = points.length;\n    while (end !== lca) {\n      points.splice(k, 0, end);\n      end = end.parent;\n    }\n    return points;\n  }\n  function d3_layout_bundleAncestors(node) {\n    var ancestors = [], parent = node.parent;\n    while (parent != null) {\n      ancestors.push(node);\n      node = parent;\n      parent = parent.parent;\n    }\n    ancestors.push(node);\n    return ancestors;\n  }\n  function d3_layout_bundleLeastCommonAncestor(a, b) {\n    if (a === b) return a;\n    var aNodes = d3_layout_bundleAncestors(a), bNodes = d3_layout_bundleAncestors(b), aNode = aNodes.pop(), bNode = bNodes.pop(), sharedNode = null;\n    while (aNode === bNode) {\n      sharedNode = aNode;\n      aNode = aNodes.pop();\n      bNode = bNodes.pop();\n    }\n    return sharedNode;\n  }\n  d3.layout.chord = function() {\n    var chord = {}, chords, groups, matrix, n, padding = 0, sortGroups, sortSubgroups, sortChords;\n    function relayout() {\n      var subgroups = {}, groupSums = [], groupIndex = d3.range(n), subgroupIndex = [], k, x, x0, i, j;\n      chords = [];\n      groups = [];\n      k = 0, i = -1;\n      while (++i < n) {\n        x = 0, j = -1;\n        while (++j < n) {\n          x += matrix[i][j];\n        }\n        groupSums.push(x);\n        subgroupIndex.push(d3.range(n));\n        k += x;\n      }\n      if (sortGroups) {\n        groupIndex.sort(function(a, b) {\n          return sortGroups(groupSums[a], groupSums[b]);\n        });\n      }\n      if (sortSubgroups) {\n        subgroupIndex.forEach(function(d, i) {\n          d.sort(function(a, b) {\n            return sortSubgroups(matrix[i][a], matrix[i][b]);\n          });\n        });\n      }\n      k = (τ - padding * n) / k;\n      x = 0, i = -1;\n      while (++i < n) {\n        x0 = x, j = -1;\n        while (++j < n) {\n          var di = groupIndex[i], dj = subgroupIndex[di][j], v = matrix[di][dj], a0 = x, a1 = x += v * k;\n          subgroups[di + \"-\" + dj] = {\n            index: di,\n            subindex: dj,\n            startAngle: a0,\n            endAngle: a1,\n            value: v\n          };\n        }\n        groups[di] = {\n          index: di,\n          startAngle: x0,\n          endAngle: x,\n          value: groupSums[di]\n        };\n        x += padding;\n      }\n      i = -1;\n      while (++i < n) {\n        j = i - 1;\n        while (++j < n) {\n          var source = subgroups[i + \"-\" + j], target = subgroups[j + \"-\" + i];\n          if (source.value || target.value) {\n            chords.push(source.value < target.value ? {\n              source: target,\n              target: source\n            } : {\n              source: source,\n              target: target\n            });\n          }\n        }\n      }\n      if (sortChords) resort();\n    }\n    function resort() {\n      chords.sort(function(a, b) {\n        return sortChords((a.source.value + a.target.value) / 2, (b.source.value + b.target.value) / 2);\n      });\n    }\n    chord.matrix = function(x) {\n      if (!arguments.length) return matrix;\n      n = (matrix = x) && matrix.length;\n      chords = groups = null;\n      return chord;\n    };\n    chord.padding = function(x) {\n      if (!arguments.length) return padding;\n      padding = x;\n      chords = groups = null;\n      return chord;\n    };\n    chord.sortGroups = function(x) {\n      if (!arguments.length) return sortGroups;\n      sortGroups = x;\n      chords = groups = null;\n      return chord;\n    };\n    chord.sortSubgroups = function(x) {\n      if (!arguments.length) return sortSubgroups;\n      sortSubgroups = x;\n      chords = null;\n      return chord;\n    };\n    chord.sortChords = function(x) {\n      if (!arguments.length) return sortChords;\n      sortChords = x;\n      if (chords) resort();\n      return chord;\n    };\n    chord.chords = function() {\n      if (!chords) relayout();\n      return chords;\n    };\n    chord.groups = function() {\n      if (!groups) relayout();\n      return groups;\n    };\n    return chord;\n  };\n  d3.layout.force = function() {\n    var force = {}, event = d3.dispatch(\"start\", \"tick\", \"end\"), timer, size = [ 1, 1 ], drag, alpha, friction = .9, linkDistance = d3_layout_forceLinkDistance, linkStrength = d3_layout_forceLinkStrength, charge = -30, chargeDistance2 = d3_layout_forceChargeDistance2, gravity = .1, theta2 = .64, nodes = [], links = [], distances, strengths, charges;\n    function repulse(node) {\n      return function(quad, x1, _, x2) {\n        if (quad.point !== node) {\n          var dx = quad.cx - node.x, dy = quad.cy - node.y, dw = x2 - x1, dn = dx * dx + dy * dy;\n          if (dw * dw / theta2 < dn) {\n            if (dn < chargeDistance2) {\n              var k = quad.charge / dn;\n              node.px -= dx * k;\n              node.py -= dy * k;\n            }\n            return true;\n          }\n          if (quad.point && dn && dn < chargeDistance2) {\n            var k = quad.pointCharge / dn;\n            node.px -= dx * k;\n            node.py -= dy * k;\n          }\n        }\n        return !quad.charge;\n      };\n    }\n    force.tick = function() {\n      if ((alpha *= .99) < .005) {\n        timer = null;\n        event.end({\n          type: \"end\",\n          alpha: alpha = 0\n        });\n        return true;\n      }\n      var n = nodes.length, m = links.length, q, i, o, s, t, l, k, x, y;\n      for (i = 0; i < m; ++i) {\n        o = links[i];\n        s = o.source;\n        t = o.target;\n        x = t.x - s.x;\n        y = t.y - s.y;\n        if (l = x * x + y * y) {\n          l = alpha * strengths[i] * ((l = Math.sqrt(l)) - distances[i]) / l;\n          x *= l;\n          y *= l;\n          t.x -= x * (k = s.weight + t.weight ? s.weight / (s.weight + t.weight) : .5);\n          t.y -= y * k;\n          s.x += x * (k = 1 - k);\n          s.y += y * k;\n        }\n      }\n      if (k = alpha * gravity) {\n        x = size[0] / 2;\n        y = size[1] / 2;\n        i = -1;\n        if (k) while (++i < n) {\n          o = nodes[i];\n          o.x += (x - o.x) * k;\n          o.y += (y - o.y) * k;\n        }\n      }\n      if (charge) {\n        d3_layout_forceAccumulate(q = d3.geom.quadtree(nodes), alpha, charges);\n        i = -1;\n        while (++i < n) {\n          if (!(o = nodes[i]).fixed) {\n            q.visit(repulse(o));\n          }\n        }\n      }\n      i = -1;\n      while (++i < n) {\n        o = nodes[i];\n        if (o.fixed) {\n          o.x = o.px;\n          o.y = o.py;\n        } else {\n          o.x -= (o.px - (o.px = o.x)) * friction;\n          o.y -= (o.py - (o.py = o.y)) * friction;\n        }\n      }\n      event.tick({\n        type: \"tick\",\n        alpha: alpha\n      });\n    };\n    force.nodes = function(x) {\n      if (!arguments.length) return nodes;\n      nodes = x;\n      return force;\n    };\n    force.links = function(x) {\n      if (!arguments.length) return links;\n      links = x;\n      return force;\n    };\n    force.size = function(x) {\n      if (!arguments.length) return size;\n      size = x;\n      return force;\n    };\n    force.linkDistance = function(x) {\n      if (!arguments.length) return linkDistance;\n      linkDistance = typeof x === \"function\" ? x : +x;\n      return force;\n    };\n    force.distance = force.linkDistance;\n    force.linkStrength = function(x) {\n      if (!arguments.length) return linkStrength;\n      linkStrength = typeof x === \"function\" ? x : +x;\n      return force;\n    };\n    force.friction = function(x) {\n      if (!arguments.length) return friction;\n      friction = +x;\n      return force;\n    };\n    force.charge = function(x) {\n      if (!arguments.length) return charge;\n      charge = typeof x === \"function\" ? x : +x;\n      return force;\n    };\n    force.chargeDistance = function(x) {\n      if (!arguments.length) return Math.sqrt(chargeDistance2);\n      chargeDistance2 = x * x;\n      return force;\n    };\n    force.gravity = function(x) {\n      if (!arguments.length) return gravity;\n      gravity = +x;\n      return force;\n    };\n    force.theta = function(x) {\n      if (!arguments.length) return Math.sqrt(theta2);\n      theta2 = x * x;\n      return force;\n    };\n    force.alpha = function(x) {\n      if (!arguments.length) return alpha;\n      x = +x;\n      if (alpha) {\n        if (x > 0) {\n          alpha = x;\n        } else {\n          timer.c = null, timer.t = NaN, timer = null;\n          event.end({\n            type: \"end\",\n            alpha: alpha = 0\n          });\n        }\n      } else if (x > 0) {\n        event.start({\n          type: \"start\",\n          alpha: alpha = x\n        });\n        timer = d3_timer(force.tick);\n      }\n      return force;\n    };\n    force.start = function() {\n      var i, n = nodes.length, m = links.length, w = size[0], h = size[1], neighbors, o;\n      for (i = 0; i < n; ++i) {\n        (o = nodes[i]).index = i;\n        o.weight = 0;\n      }\n      for (i = 0; i < m; ++i) {\n        o = links[i];\n        if (typeof o.source == \"number\") o.source = nodes[o.source];\n        if (typeof o.target == \"number\") o.target = nodes[o.target];\n        ++o.source.weight;\n        ++o.target.weight;\n      }\n      for (i = 0; i < n; ++i) {\n        o = nodes[i];\n        if (isNaN(o.x)) o.x = position(\"x\", w);\n        if (isNaN(o.y)) o.y = position(\"y\", h);\n        if (isNaN(o.px)) o.px = o.x;\n        if (isNaN(o.py)) o.py = o.y;\n      }\n      distances = [];\n      if (typeof linkDistance === \"function\") for (i = 0; i < m; ++i) distances[i] = +linkDistance.call(this, links[i], i); else for (i = 0; i < m; ++i) distances[i] = linkDistance;\n      strengths = [];\n      if (typeof linkStrength === \"function\") for (i = 0; i < m; ++i) strengths[i] = +linkStrength.call(this, links[i], i); else for (i = 0; i < m; ++i) strengths[i] = linkStrength;\n      charges = [];\n      if (typeof charge === \"function\") for (i = 0; i < n; ++i) charges[i] = +charge.call(this, nodes[i], i); else for (i = 0; i < n; ++i) charges[i] = charge;\n      function position(dimension, size) {\n        if (!neighbors) {\n          neighbors = new Array(n);\n          for (j = 0; j < n; ++j) {\n            neighbors[j] = [];\n          }\n          for (j = 0; j < m; ++j) {\n            var o = links[j];\n            neighbors[o.source.index].push(o.target);\n            neighbors[o.target.index].push(o.source);\n          }\n        }\n        var candidates = neighbors[i], j = -1, l = candidates.length, x;\n        while (++j < l) if (!isNaN(x = candidates[j][dimension])) return x;\n        return Math.random() * size;\n      }\n      return force.resume();\n    };\n    force.resume = function() {\n      return force.alpha(.1);\n    };\n    force.stop = function() {\n      return force.alpha(0);\n    };\n    force.drag = function() {\n      if (!drag) drag = d3.behavior.drag().origin(d3_identity).on(\"dragstart.force\", d3_layout_forceDragstart).on(\"drag.force\", dragmove).on(\"dragend.force\", d3_layout_forceDragend);\n      if (!arguments.length) return drag;\n      this.on(\"mouseover.force\", d3_layout_forceMouseover).on(\"mouseout.force\", d3_layout_forceMouseout).call(drag);\n    };\n    function dragmove(d) {\n      d.px = d3.event.x, d.py = d3.event.y;\n      force.resume();\n    }\n    return d3.rebind(force, event, \"on\");\n  };\n  function d3_layout_forceDragstart(d) {\n    d.fixed |= 2;\n  }\n  function d3_layout_forceDragend(d) {\n    d.fixed &= ~6;\n  }\n  function d3_layout_forceMouseover(d) {\n    d.fixed |= 4;\n    d.px = d.x, d.py = d.y;\n  }\n  function d3_layout_forceMouseout(d) {\n    d.fixed &= ~4;\n  }\n  function d3_layout_forceAccumulate(quad, alpha, charges) {\n    var cx = 0, cy = 0;\n    quad.charge = 0;\n    if (!quad.leaf) {\n      var nodes = quad.nodes, n = nodes.length, i = -1, c;\n      while (++i < n) {\n        c = nodes[i];\n        if (c == null) continue;\n        d3_layout_forceAccumulate(c, alpha, charges);\n        quad.charge += c.charge;\n        cx += c.charge * c.cx;\n        cy += c.charge * c.cy;\n      }\n    }\n    if (quad.point) {\n      if (!quad.leaf) {\n        quad.point.x += Math.random() - .5;\n        quad.point.y += Math.random() - .5;\n      }\n      var k = alpha * charges[quad.point.index];\n      quad.charge += quad.pointCharge = k;\n      cx += k * quad.point.x;\n      cy += k * quad.point.y;\n    }\n    quad.cx = cx / quad.charge;\n    quad.cy = cy / quad.charge;\n  }\n  var d3_layout_forceLinkDistance = 20, d3_layout_forceLinkStrength = 1, d3_layout_forceChargeDistance2 = Infinity;\n  d3.layout.hierarchy = function() {\n    var sort = d3_layout_hierarchySort, children = d3_layout_hierarchyChildren, value = d3_layout_hierarchyValue;\n    function hierarchy(root) {\n      var stack = [ root ], nodes = [], node;\n      root.depth = 0;\n      while ((node = stack.pop()) != null) {\n        nodes.push(node);\n        if ((childs = children.call(hierarchy, node, node.depth)) && (n = childs.length)) {\n          var n, childs, child;\n          while (--n >= 0) {\n            stack.push(child = childs[n]);\n            child.parent = node;\n            child.depth = node.depth + 1;\n          }\n          if (value) node.value = 0;\n          node.children = childs;\n        } else {\n          if (value) node.value = +value.call(hierarchy, node, node.depth) || 0;\n          delete node.children;\n        }\n      }\n      d3_layout_hierarchyVisitAfter(root, function(node) {\n        var childs, parent;\n        if (sort && (childs = node.children)) childs.sort(sort);\n        if (value && (parent = node.parent)) parent.value += node.value;\n      });\n      return nodes;\n    }\n    hierarchy.sort = function(x) {\n      if (!arguments.length) return sort;\n      sort = x;\n      return hierarchy;\n    };\n    hierarchy.children = function(x) {\n      if (!arguments.length) return children;\n      children = x;\n      return hierarchy;\n    };\n    hierarchy.value = function(x) {\n      if (!arguments.length) return value;\n      value = x;\n      return hierarchy;\n    };\n    hierarchy.revalue = function(root) {\n      if (value) {\n        d3_layout_hierarchyVisitBefore(root, function(node) {\n          if (node.children) node.value = 0;\n        });\n        d3_layout_hierarchyVisitAfter(root, function(node) {\n          var parent;\n          if (!node.children) node.value = +value.call(hierarchy, node, node.depth) || 0;\n          if (parent = node.parent) parent.value += node.value;\n        });\n      }\n      return root;\n    };\n    return hierarchy;\n  };\n  function d3_layout_hierarchyRebind(object, hierarchy) {\n    d3.rebind(object, hierarchy, \"sort\", \"children\", \"value\");\n    object.nodes = object;\n    object.links = d3_layout_hierarchyLinks;\n    return object;\n  }\n  function d3_layout_hierarchyVisitBefore(node, callback) {\n    var nodes = [ node ];\n    while ((node = nodes.pop()) != null) {\n      callback(node);\n      if ((children = node.children) && (n = children.length)) {\n        var n, children;\n        while (--n >= 0) nodes.push(children[n]);\n      }\n    }\n  }\n  function d3_layout_hierarchyVisitAfter(node, callback) {\n    var nodes = [ node ], nodes2 = [];\n    while ((node = nodes.pop()) != null) {\n      nodes2.push(node);\n      if ((children = node.children) && (n = children.length)) {\n        var i = -1, n, children;\n        while (++i < n) nodes.push(children[i]);\n      }\n    }\n    while ((node = nodes2.pop()) != null) {\n      callback(node);\n    }\n  }\n  function d3_layout_hierarchyChildren(d) {\n    return d.children;\n  }\n  function d3_layout_hierarchyValue(d) {\n    return d.value;\n  }\n  function d3_layout_hierarchySort(a, b) {\n    return b.value - a.value;\n  }\n  function d3_layout_hierarchyLinks(nodes) {\n    return d3.merge(nodes.map(function(parent) {\n      return (parent.children || []).map(function(child) {\n        return {\n          source: parent,\n          target: child\n        };\n      });\n    }));\n  }\n  d3.layout.partition = function() {\n    var hierarchy = d3.layout.hierarchy(), size = [ 1, 1 ];\n    function position(node, x, dx, dy) {\n      var children = node.children;\n      node.x = x;\n      node.y = node.depth * dy;\n      node.dx = dx;\n      node.dy = dy;\n      if (children && (n = children.length)) {\n        var i = -1, n, c, d;\n        dx = node.value ? dx / node.value : 0;\n        while (++i < n) {\n          position(c = children[i], x, d = c.value * dx, dy);\n          x += d;\n        }\n      }\n    }\n    function depth(node) {\n      var children = node.children, d = 0;\n      if (children && (n = children.length)) {\n        var i = -1, n;\n        while (++i < n) d = Math.max(d, depth(children[i]));\n      }\n      return 1 + d;\n    }\n    function partition(d, i) {\n      var nodes = hierarchy.call(this, d, i);\n      position(nodes[0], 0, size[0], size[1] / depth(nodes[0]));\n      return nodes;\n    }\n    partition.size = function(x) {\n      if (!arguments.length) return size;\n      size = x;\n      return partition;\n    };\n    return d3_layout_hierarchyRebind(partition, hierarchy);\n  };\n  d3.layout.pie = function() {\n    var value = Number, sort = d3_layout_pieSortByValue, startAngle = 0, endAngle = τ, padAngle = 0;\n    function pie(data) {\n      var n = data.length, values = data.map(function(d, i) {\n        return +value.call(pie, d, i);\n      }), a = +(typeof startAngle === \"function\" ? startAngle.apply(this, arguments) : startAngle), da = (typeof endAngle === \"function\" ? endAngle.apply(this, arguments) : endAngle) - a, p = Math.min(Math.abs(da) / n, +(typeof padAngle === \"function\" ? padAngle.apply(this, arguments) : padAngle)), pa = p * (da < 0 ? -1 : 1), sum = d3.sum(values), k = sum ? (da - n * pa) / sum : 0, index = d3.range(n), arcs = [], v;\n      if (sort != null) index.sort(sort === d3_layout_pieSortByValue ? function(i, j) {\n        return values[j] - values[i];\n      } : function(i, j) {\n        return sort(data[i], data[j]);\n      });\n      index.forEach(function(i) {\n        arcs[i] = {\n          data: data[i],\n          value: v = values[i],\n          startAngle: a,\n          endAngle: a += v * k + pa,\n          padAngle: p\n        };\n      });\n      return arcs;\n    }\n    pie.value = function(_) {\n      if (!arguments.length) return value;\n      value = _;\n      return pie;\n    };\n    pie.sort = function(_) {\n      if (!arguments.length) return sort;\n      sort = _;\n      return pie;\n    };\n    pie.startAngle = function(_) {\n      if (!arguments.length) return startAngle;\n      startAngle = _;\n      return pie;\n    };\n    pie.endAngle = function(_) {\n      if (!arguments.length) return endAngle;\n      endAngle = _;\n      return pie;\n    };\n    pie.padAngle = function(_) {\n      if (!arguments.length) return padAngle;\n      padAngle = _;\n      return pie;\n    };\n    return pie;\n  };\n  var d3_layout_pieSortByValue = {};\n  d3.layout.stack = function() {\n    var values = d3_identity, order = d3_layout_stackOrderDefault, offset = d3_layout_stackOffsetZero, out = d3_layout_stackOut, x = d3_layout_stackX, y = d3_layout_stackY;\n    function stack(data, index) {\n      if (!(n = data.length)) return data;\n      var series = data.map(function(d, i) {\n        return values.call(stack, d, i);\n      });\n      var points = series.map(function(d) {\n        return d.map(function(v, i) {\n          return [ x.call(stack, v, i), y.call(stack, v, i) ];\n        });\n      });\n      var orders = order.call(stack, points, index);\n      series = d3.permute(series, orders);\n      points = d3.permute(points, orders);\n      var offsets = offset.call(stack, points, index);\n      var m = series[0].length, n, i, j, o;\n      for (j = 0; j < m; ++j) {\n        out.call(stack, series[0][j], o = offsets[j], points[0][j][1]);\n        for (i = 1; i < n; ++i) {\n          out.call(stack, series[i][j], o += points[i - 1][j][1], points[i][j][1]);\n        }\n      }\n      return data;\n    }\n    stack.values = function(x) {\n      if (!arguments.length) return values;\n      values = x;\n      return stack;\n    };\n    stack.order = function(x) {\n      if (!arguments.length) return order;\n      order = typeof x === \"function\" ? x : d3_layout_stackOrders.get(x) || d3_layout_stackOrderDefault;\n      return stack;\n    };\n    stack.offset = function(x) {\n      if (!arguments.length) return offset;\n      offset = typeof x === \"function\" ? x : d3_layout_stackOffsets.get(x) || d3_layout_stackOffsetZero;\n      return stack;\n    };\n    stack.x = function(z) {\n      if (!arguments.length) return x;\n      x = z;\n      return stack;\n    };\n    stack.y = function(z) {\n      if (!arguments.length) return y;\n      y = z;\n      return stack;\n    };\n    stack.out = function(z) {\n      if (!arguments.length) return out;\n      out = z;\n      return stack;\n    };\n    return stack;\n  };\n  function d3_layout_stackX(d) {\n    return d.x;\n  }\n  function d3_layout_stackY(d) {\n    return d.y;\n  }\n  function d3_layout_stackOut(d, y0, y) {\n    d.y0 = y0;\n    d.y = y;\n  }\n  var d3_layout_stackOrders = d3.map({\n    \"inside-out\": function(data) {\n      var n = data.length, i, j, max = data.map(d3_layout_stackMaxIndex), sums = data.map(d3_layout_stackReduceSum), index = d3.range(n).sort(function(a, b) {\n        return max[a] - max[b];\n      }), top = 0, bottom = 0, tops = [], bottoms = [];\n      for (i = 0; i < n; ++i) {\n        j = index[i];\n        if (top < bottom) {\n          top += sums[j];\n          tops.push(j);\n        } else {\n          bottom += sums[j];\n          bottoms.push(j);\n        }\n      }\n      return bottoms.reverse().concat(tops);\n    },\n    reverse: function(data) {\n      return d3.range(data.length).reverse();\n    },\n    \"default\": d3_layout_stackOrderDefault\n  });\n  var d3_layout_stackOffsets = d3.map({\n    silhouette: function(data) {\n      var n = data.length, m = data[0].length, sums = [], max = 0, i, j, o, y0 = [];\n      for (j = 0; j < m; ++j) {\n        for (i = 0, o = 0; i < n; i++) o += data[i][j][1];\n        if (o > max) max = o;\n        sums.push(o);\n      }\n      for (j = 0; j < m; ++j) {\n        y0[j] = (max - sums[j]) / 2;\n      }\n      return y0;\n    },\n    wiggle: function(data) {\n      var n = data.length, x = data[0], m = x.length, i, j, k, s1, s2, s3, dx, o, o0, y0 = [];\n      y0[0] = o = o0 = 0;\n      for (j = 1; j < m; ++j) {\n        for (i = 0, s1 = 0; i < n; ++i) s1 += data[i][j][1];\n        for (i = 0, s2 = 0, dx = x[j][0] - x[j - 1][0]; i < n; ++i) {\n          for (k = 0, s3 = (data[i][j][1] - data[i][j - 1][1]) / (2 * dx); k < i; ++k) {\n            s3 += (data[k][j][1] - data[k][j - 1][1]) / dx;\n          }\n          s2 += s3 * data[i][j][1];\n        }\n        y0[j] = o -= s1 ? s2 / s1 * dx : 0;\n        if (o < o0) o0 = o;\n      }\n      for (j = 0; j < m; ++j) y0[j] -= o0;\n      return y0;\n    },\n    expand: function(data) {\n      var n = data.length, m = data[0].length, k = 1 / n, i, j, o, y0 = [];\n      for (j = 0; j < m; ++j) {\n        for (i = 0, o = 0; i < n; i++) o += data[i][j][1];\n        if (o) for (i = 0; i < n; i++) data[i][j][1] /= o; else for (i = 0; i < n; i++) data[i][j][1] = k;\n      }\n      for (j = 0; j < m; ++j) y0[j] = 0;\n      return y0;\n    },\n    zero: d3_layout_stackOffsetZero\n  });\n  function d3_layout_stackOrderDefault(data) {\n    return d3.range(data.length);\n  }\n  function d3_layout_stackOffsetZero(data) {\n    var j = -1, m = data[0].length, y0 = [];\n    while (++j < m) y0[j] = 0;\n    return y0;\n  }\n  function d3_layout_stackMaxIndex(array) {\n    var i = 1, j = 0, v = array[0][1], k, n = array.length;\n    for (;i < n; ++i) {\n      if ((k = array[i][1]) > v) {\n        j = i;\n        v = k;\n      }\n    }\n    return j;\n  }\n  function d3_layout_stackReduceSum(d) {\n    return d.reduce(d3_layout_stackSum, 0);\n  }\n  function d3_layout_stackSum(p, d) {\n    return p + d[1];\n  }\n  d3.layout.histogram = function() {\n    var frequency = true, valuer = Number, ranger = d3_layout_histogramRange, binner = d3_layout_histogramBinSturges;\n    function histogram(data, i) {\n      var bins = [], values = data.map(valuer, this), range = ranger.call(this, values, i), thresholds = binner.call(this, range, values, i), bin, i = -1, n = values.length, m = thresholds.length - 1, k = frequency ? 1 : 1 / n, x;\n      while (++i < m) {\n        bin = bins[i] = [];\n        bin.dx = thresholds[i + 1] - (bin.x = thresholds[i]);\n        bin.y = 0;\n      }\n      if (m > 0) {\n        i = -1;\n        while (++i < n) {\n          x = values[i];\n          if (x >= range[0] && x <= range[1]) {\n            bin = bins[d3.bisect(thresholds, x, 1, m) - 1];\n            bin.y += k;\n            bin.push(data[i]);\n          }\n        }\n      }\n      return bins;\n    }\n    histogram.value = function(x) {\n      if (!arguments.length) return valuer;\n      valuer = x;\n      return histogram;\n    };\n    histogram.range = function(x) {\n      if (!arguments.length) return ranger;\n      ranger = d3_functor(x);\n      return histogram;\n    };\n    histogram.bins = function(x) {\n      if (!arguments.length) return binner;\n      binner = typeof x === \"number\" ? function(range) {\n        return d3_layout_histogramBinFixed(range, x);\n      } : d3_functor(x);\n      return histogram;\n    };\n    histogram.frequency = function(x) {\n      if (!arguments.length) return frequency;\n      frequency = !!x;\n      return histogram;\n    };\n    return histogram;\n  };\n  function d3_layout_histogramBinSturges(range, values) {\n    return d3_layout_histogramBinFixed(range, Math.ceil(Math.log(values.length) / Math.LN2 + 1));\n  }\n  function d3_layout_histogramBinFixed(range, n) {\n    var x = -1, b = +range[0], m = (range[1] - b) / n, f = [];\n    while (++x <= n) f[x] = m * x + b;\n    return f;\n  }\n  function d3_layout_histogramRange(values) {\n    return [ d3.min(values), d3.max(values) ];\n  }\n  d3.layout.pack = function() {\n    var hierarchy = d3.layout.hierarchy().sort(d3_layout_packSort), padding = 0, size = [ 1, 1 ], radius;\n    function pack(d, i) {\n      var nodes = hierarchy.call(this, d, i), root = nodes[0], w = size[0], h = size[1], r = radius == null ? Math.sqrt : typeof radius === \"function\" ? radius : function() {\n        return radius;\n      };\n      root.x = root.y = 0;\n      d3_layout_hierarchyVisitAfter(root, function(d) {\n        d.r = +r(d.value);\n      });\n      d3_layout_hierarchyVisitAfter(root, d3_layout_packSiblings);\n      if (padding) {\n        var dr = padding * (radius ? 1 : Math.max(2 * root.r / w, 2 * root.r / h)) / 2;\n        d3_layout_hierarchyVisitAfter(root, function(d) {\n          d.r += dr;\n        });\n        d3_layout_hierarchyVisitAfter(root, d3_layout_packSiblings);\n        d3_layout_hierarchyVisitAfter(root, function(d) {\n          d.r -= dr;\n        });\n      }\n      d3_layout_packTransform(root, w / 2, h / 2, radius ? 1 : 1 / Math.max(2 * root.r / w, 2 * root.r / h));\n      return nodes;\n    }\n    pack.size = function(_) {\n      if (!arguments.length) return size;\n      size = _;\n      return pack;\n    };\n    pack.radius = function(_) {\n      if (!arguments.length) return radius;\n      radius = _ == null || typeof _ === \"function\" ? _ : +_;\n      return pack;\n    };\n    pack.padding = function(_) {\n      if (!arguments.length) return padding;\n      padding = +_;\n      return pack;\n    };\n    return d3_layout_hierarchyRebind(pack, hierarchy);\n  };\n  function d3_layout_packSort(a, b) {\n    return a.value - b.value;\n  }\n  function d3_layout_packInsert(a, b) {\n    var c = a._pack_next;\n    a._pack_next = b;\n    b._pack_prev = a;\n    b._pack_next = c;\n    c._pack_prev = b;\n  }\n  function d3_layout_packSplice(a, b) {\n    a._pack_next = b;\n    b._pack_prev = a;\n  }\n  function d3_layout_packIntersects(a, b) {\n    var dx = b.x - a.x, dy = b.y - a.y, dr = a.r + b.r;\n    return .999 * dr * dr > dx * dx + dy * dy;\n  }\n  function d3_layout_packSiblings(node) {\n    if (!(nodes = node.children) || !(n = nodes.length)) return;\n    var nodes, xMin = Infinity, xMax = -Infinity, yMin = Infinity, yMax = -Infinity, a, b, c, i, j, k, n;\n    function bound(node) {\n      xMin = Math.min(node.x - node.r, xMin);\n      xMax = Math.max(node.x + node.r, xMax);\n      yMin = Math.min(node.y - node.r, yMin);\n      yMax = Math.max(node.y + node.r, yMax);\n    }\n    nodes.forEach(d3_layout_packLink);\n    a = nodes[0];\n    a.x = -a.r;\n    a.y = 0;\n    bound(a);\n    if (n > 1) {\n      b = nodes[1];\n      b.x = b.r;\n      b.y = 0;\n      bound(b);\n      if (n > 2) {\n        c = nodes[2];\n        d3_layout_packPlace(a, b, c);\n        bound(c);\n        d3_layout_packInsert(a, c);\n        a._pack_prev = c;\n        d3_layout_packInsert(c, b);\n        b = a._pack_next;\n        for (i = 3; i < n; i++) {\n          d3_layout_packPlace(a, b, c = nodes[i]);\n          var isect = 0, s1 = 1, s2 = 1;\n          for (j = b._pack_next; j !== b; j = j._pack_next, s1++) {\n            if (d3_layout_packIntersects(j, c)) {\n              isect = 1;\n              break;\n            }\n          }\n          if (isect == 1) {\n            for (k = a._pack_prev; k !== j._pack_prev; k = k._pack_prev, s2++) {\n              if (d3_layout_packIntersects(k, c)) {\n                break;\n              }\n            }\n          }\n          if (isect) {\n            if (s1 < s2 || s1 == s2 && b.r < a.r) d3_layout_packSplice(a, b = j); else d3_layout_packSplice(a = k, b);\n            i--;\n          } else {\n            d3_layout_packInsert(a, c);\n            b = c;\n            bound(c);\n          }\n        }\n      }\n    }\n    var cx = (xMin + xMax) / 2, cy = (yMin + yMax) / 2, cr = 0;\n    for (i = 0; i < n; i++) {\n      c = nodes[i];\n      c.x -= cx;\n      c.y -= cy;\n      cr = Math.max(cr, c.r + Math.sqrt(c.x * c.x + c.y * c.y));\n    }\n    node.r = cr;\n    nodes.forEach(d3_layout_packUnlink);\n  }\n  function d3_layout_packLink(node) {\n    node._pack_next = node._pack_prev = node;\n  }\n  function d3_layout_packUnlink(node) {\n    delete node._pack_next;\n    delete node._pack_prev;\n  }\n  function d3_layout_packTransform(node, x, y, k) {\n    var children = node.children;\n    node.x = x += k * node.x;\n    node.y = y += k * node.y;\n    node.r *= k;\n    if (children) {\n      var i = -1, n = children.length;\n      while (++i < n) d3_layout_packTransform(children[i], x, y, k);\n    }\n  }\n  function d3_layout_packPlace(a, b, c) {\n    var db = a.r + c.r, dx = b.x - a.x, dy = b.y - a.y;\n    if (db && (dx || dy)) {\n      var da = b.r + c.r, dc = dx * dx + dy * dy;\n      da *= da;\n      db *= db;\n      var x = .5 + (db - da) / (2 * dc), y = Math.sqrt(Math.max(0, 2 * da * (db + dc) - (db -= dc) * db - da * da)) / (2 * dc);\n      c.x = a.x + x * dx + y * dy;\n      c.y = a.y + x * dy - y * dx;\n    } else {\n      c.x = a.x + db;\n      c.y = a.y;\n    }\n  }\n  d3.layout.tree = function() {\n    var hierarchy = d3.layout.hierarchy().sort(null).value(null), separation = d3_layout_treeSeparation, size = [ 1, 1 ], nodeSize = null;\n    function tree(d, i) {\n      var nodes = hierarchy.call(this, d, i), root0 = nodes[0], root1 = wrapTree(root0);\n      d3_layout_hierarchyVisitAfter(root1, firstWalk), root1.parent.m = -root1.z;\n      d3_layout_hierarchyVisitBefore(root1, secondWalk);\n      if (nodeSize) d3_layout_hierarchyVisitBefore(root0, sizeNode); else {\n        var left = root0, right = root0, bottom = root0;\n        d3_layout_hierarchyVisitBefore(root0, function(node) {\n          if (node.x < left.x) left = node;\n          if (node.x > right.x) right = node;\n          if (node.depth > bottom.depth) bottom = node;\n        });\n        var tx = separation(left, right) / 2 - left.x, kx = size[0] / (right.x + separation(right, left) / 2 + tx), ky = size[1] / (bottom.depth || 1);\n        d3_layout_hierarchyVisitBefore(root0, function(node) {\n          node.x = (node.x + tx) * kx;\n          node.y = node.depth * ky;\n        });\n      }\n      return nodes;\n    }\n    function wrapTree(root0) {\n      var root1 = {\n        A: null,\n        children: [ root0 ]\n      }, queue = [ root1 ], node1;\n      while ((node1 = queue.pop()) != null) {\n        for (var children = node1.children, child, i = 0, n = children.length; i < n; ++i) {\n          queue.push((children[i] = child = {\n            _: children[i],\n            parent: node1,\n            children: (child = children[i].children) && child.slice() || [],\n            A: null,\n            a: null,\n            z: 0,\n            m: 0,\n            c: 0,\n            s: 0,\n            t: null,\n            i: i\n          }).a = child);\n        }\n      }\n      return root1.children[0];\n    }\n    function firstWalk(v) {\n      var children = v.children, siblings = v.parent.children, w = v.i ? siblings[v.i - 1] : null;\n      if (children.length) {\n        d3_layout_treeShift(v);\n        var midpoint = (children[0].z + children[children.length - 1].z) / 2;\n        if (w) {\n          v.z = w.z + separation(v._, w._);\n          v.m = v.z - midpoint;\n        } else {\n          v.z = midpoint;\n        }\n      } else if (w) {\n        v.z = w.z + separation(v._, w._);\n      }\n      v.parent.A = apportion(v, w, v.parent.A || siblings[0]);\n    }\n    function secondWalk(v) {\n      v._.x = v.z + v.parent.m;\n      v.m += v.parent.m;\n    }\n    function apportion(v, w, ancestor) {\n      if (w) {\n        var vip = v, vop = v, vim = w, vom = vip.parent.children[0], sip = vip.m, sop = vop.m, sim = vim.m, som = vom.m, shift;\n        while (vim = d3_layout_treeRight(vim), vip = d3_layout_treeLeft(vip), vim && vip) {\n          vom = d3_layout_treeLeft(vom);\n          vop = d3_layout_treeRight(vop);\n          vop.a = v;\n          shift = vim.z + sim - vip.z - sip + separation(vim._, vip._);\n          if (shift > 0) {\n            d3_layout_treeMove(d3_layout_treeAncestor(vim, v, ancestor), v, shift);\n            sip += shift;\n            sop += shift;\n          }\n          sim += vim.m;\n          sip += vip.m;\n          som += vom.m;\n          sop += vop.m;\n        }\n        if (vim && !d3_layout_treeRight(vop)) {\n          vop.t = vim;\n          vop.m += sim - sop;\n        }\n        if (vip && !d3_layout_treeLeft(vom)) {\n          vom.t = vip;\n          vom.m += sip - som;\n          ancestor = v;\n        }\n      }\n      return ancestor;\n    }\n    function sizeNode(node) {\n      node.x *= size[0];\n      node.y = node.depth * size[1];\n    }\n    tree.separation = function(x) {\n      if (!arguments.length) return separation;\n      separation = x;\n      return tree;\n    };\n    tree.size = function(x) {\n      if (!arguments.length) return nodeSize ? null : size;\n      nodeSize = (size = x) == null ? sizeNode : null;\n      return tree;\n    };\n    tree.nodeSize = function(x) {\n      if (!arguments.length) return nodeSize ? size : null;\n      nodeSize = (size = x) == null ? null : sizeNode;\n      return tree;\n    };\n    return d3_layout_hierarchyRebind(tree, hierarchy);\n  };\n  function d3_layout_treeSeparation(a, b) {\n    return a.parent == b.parent ? 1 : 2;\n  }\n  function d3_layout_treeLeft(v) {\n    var children = v.children;\n    return children.length ? children[0] : v.t;\n  }\n  function d3_layout_treeRight(v) {\n    var children = v.children, n;\n    return (n = children.length) ? children[n - 1] : v.t;\n  }\n  function d3_layout_treeMove(wm, wp, shift) {\n    var change = shift / (wp.i - wm.i);\n    wp.c -= change;\n    wp.s += shift;\n    wm.c += change;\n    wp.z += shift;\n    wp.m += shift;\n  }\n  function d3_layout_treeShift(v) {\n    var shift = 0, change = 0, children = v.children, i = children.length, w;\n    while (--i >= 0) {\n      w = children[i];\n      w.z += shift;\n      w.m += shift;\n      shift += w.s + (change += w.c);\n    }\n  }\n  function d3_layout_treeAncestor(vim, v, ancestor) {\n    return vim.a.parent === v.parent ? vim.a : ancestor;\n  }\n  d3.layout.cluster = function() {\n    var hierarchy = d3.layout.hierarchy().sort(null).value(null), separation = d3_layout_treeSeparation, size = [ 1, 1 ], nodeSize = false;\n    function cluster(d, i) {\n      var nodes = hierarchy.call(this, d, i), root = nodes[0], previousNode, x = 0;\n      d3_layout_hierarchyVisitAfter(root, function(node) {\n        var children = node.children;\n        if (children && children.length) {\n          node.x = d3_layout_clusterX(children);\n          node.y = d3_layout_clusterY(children);\n        } else {\n          node.x = previousNode ? x += separation(node, previousNode) : 0;\n          node.y = 0;\n          previousNode = node;\n        }\n      });\n      var left = d3_layout_clusterLeft(root), right = d3_layout_clusterRight(root), x0 = left.x - separation(left, right) / 2, x1 = right.x + separation(right, left) / 2;\n      d3_layout_hierarchyVisitAfter(root, nodeSize ? function(node) {\n        node.x = (node.x - root.x) * size[0];\n        node.y = (root.y - node.y) * size[1];\n      } : function(node) {\n        node.x = (node.x - x0) / (x1 - x0) * size[0];\n        node.y = (1 - (root.y ? node.y / root.y : 1)) * size[1];\n      });\n      return nodes;\n    }\n    cluster.separation = function(x) {\n      if (!arguments.length) return separation;\n      separation = x;\n      return cluster;\n    };\n    cluster.size = function(x) {\n      if (!arguments.length) return nodeSize ? null : size;\n      nodeSize = (size = x) == null;\n      return cluster;\n    };\n    cluster.nodeSize = function(x) {\n      if (!arguments.length) return nodeSize ? size : null;\n      nodeSize = (size = x) != null;\n      return cluster;\n    };\n    return d3_layout_hierarchyRebind(cluster, hierarchy);\n  };\n  function d3_layout_clusterY(children) {\n    return 1 + d3.max(children, function(child) {\n      return child.y;\n    });\n  }\n  function d3_layout_clusterX(children) {\n    return children.reduce(function(x, child) {\n      return x + child.x;\n    }, 0) / children.length;\n  }\n  function d3_layout_clusterLeft(node) {\n    var children = node.children;\n    return children && children.length ? d3_layout_clusterLeft(children[0]) : node;\n  }\n  function d3_layout_clusterRight(node) {\n    var children = node.children, n;\n    return children && (n = children.length) ? d3_layout_clusterRight(children[n - 1]) : node;\n  }\n  d3.layout.treemap = function() {\n    var hierarchy = d3.layout.hierarchy(), round = Math.round, size = [ 1, 1 ], padding = null, pad = d3_layout_treemapPadNull, sticky = false, stickies, mode = \"squarify\", ratio = .5 * (1 + Math.sqrt(5));\n    function scale(children, k) {\n      var i = -1, n = children.length, child, area;\n      while (++i < n) {\n        area = (child = children[i]).value * (k < 0 ? 0 : k);\n        child.area = isNaN(area) || area <= 0 ? 0 : area;\n      }\n    }\n    function squarify(node) {\n      var children = node.children;\n      if (children && children.length) {\n        var rect = pad(node), row = [], remaining = children.slice(), child, best = Infinity, score, u = mode === \"slice\" ? rect.dx : mode === \"dice\" ? rect.dy : mode === \"slice-dice\" ? node.depth & 1 ? rect.dy : rect.dx : Math.min(rect.dx, rect.dy), n;\n        scale(remaining, rect.dx * rect.dy / node.value);\n        row.area = 0;\n        while ((n = remaining.length) > 0) {\n          row.push(child = remaining[n - 1]);\n          row.area += child.area;\n          if (mode !== \"squarify\" || (score = worst(row, u)) <= best) {\n            remaining.pop();\n            best = score;\n          } else {\n            row.area -= row.pop().area;\n            position(row, u, rect, false);\n            u = Math.min(rect.dx, rect.dy);\n            row.length = row.area = 0;\n            best = Infinity;\n          }\n        }\n        if (row.length) {\n          position(row, u, rect, true);\n          row.length = row.area = 0;\n        }\n        children.forEach(squarify);\n      }\n    }\n    function stickify(node) {\n      var children = node.children;\n      if (children && children.length) {\n        var rect = pad(node), remaining = children.slice(), child, row = [];\n        scale(remaining, rect.dx * rect.dy / node.value);\n        row.area = 0;\n        while (child = remaining.pop()) {\n          row.push(child);\n          row.area += child.area;\n          if (child.z != null) {\n            position(row, child.z ? rect.dx : rect.dy, rect, !remaining.length);\n            row.length = row.area = 0;\n          }\n        }\n        children.forEach(stickify);\n      }\n    }\n    function worst(row, u) {\n      var s = row.area, r, rmax = 0, rmin = Infinity, i = -1, n = row.length;\n      while (++i < n) {\n        if (!(r = row[i].area)) continue;\n        if (r < rmin) rmin = r;\n        if (r > rmax) rmax = r;\n      }\n      s *= s;\n      u *= u;\n      return s ? Math.max(u * rmax * ratio / s, s / (u * rmin * ratio)) : Infinity;\n    }\n    function position(row, u, rect, flush) {\n      var i = -1, n = row.length, x = rect.x, y = rect.y, v = u ? round(row.area / u) : 0, o;\n      if (u == rect.dx) {\n        if (flush || v > rect.dy) v = rect.dy;\n        while (++i < n) {\n          o = row[i];\n          o.x = x;\n          o.y = y;\n          o.dy = v;\n          x += o.dx = Math.min(rect.x + rect.dx - x, v ? round(o.area / v) : 0);\n        }\n        o.z = true;\n        o.dx += rect.x + rect.dx - x;\n        rect.y += v;\n        rect.dy -= v;\n      } else {\n        if (flush || v > rect.dx) v = rect.dx;\n        while (++i < n) {\n          o = row[i];\n          o.x = x;\n          o.y = y;\n          o.dx = v;\n          y += o.dy = Math.min(rect.y + rect.dy - y, v ? round(o.area / v) : 0);\n        }\n        o.z = false;\n        o.dy += rect.y + rect.dy - y;\n        rect.x += v;\n        rect.dx -= v;\n      }\n    }\n    function treemap(d) {\n      var nodes = stickies || hierarchy(d), root = nodes[0];\n      root.x = root.y = 0;\n      if (root.value) root.dx = size[0], root.dy = size[1]; else root.dx = root.dy = 0;\n      if (stickies) hierarchy.revalue(root);\n      scale([ root ], root.dx * root.dy / root.value);\n      (stickies ? stickify : squarify)(root);\n      if (sticky) stickies = nodes;\n      return nodes;\n    }\n    treemap.size = function(x) {\n      if (!arguments.length) return size;\n      size = x;\n      return treemap;\n    };\n    treemap.padding = function(x) {\n      if (!arguments.length) return padding;\n      function padFunction(node) {\n        var p = x.call(treemap, node, node.depth);\n        return p == null ? d3_layout_treemapPadNull(node) : d3_layout_treemapPad(node, typeof p === \"number\" ? [ p, p, p, p ] : p);\n      }\n      function padConstant(node) {\n        return d3_layout_treemapPad(node, x);\n      }\n      var type;\n      pad = (padding = x) == null ? d3_layout_treemapPadNull : (type = typeof x) === \"function\" ? padFunction : type === \"number\" ? (x = [ x, x, x, x ], \n      padConstant) : padConstant;\n      return treemap;\n    };\n    treemap.round = function(x) {\n      if (!arguments.length) return round != Number;\n      round = x ? Math.round : Number;\n      return treemap;\n    };\n    treemap.sticky = function(x) {\n      if (!arguments.length) return sticky;\n      sticky = x;\n      stickies = null;\n      return treemap;\n    };\n    treemap.ratio = function(x) {\n      if (!arguments.length) return ratio;\n      ratio = x;\n      return treemap;\n    };\n    treemap.mode = function(x) {\n      if (!arguments.length) return mode;\n      mode = x + \"\";\n      return treemap;\n    };\n    return d3_layout_hierarchyRebind(treemap, hierarchy);\n  };\n  function d3_layout_treemapPadNull(node) {\n    return {\n      x: node.x,\n      y: node.y,\n      dx: node.dx,\n      dy: node.dy\n    };\n  }\n  function d3_layout_treemapPad(node, padding) {\n    var x = node.x + padding[3], y = node.y + padding[0], dx = node.dx - padding[1] - padding[3], dy = node.dy - padding[0] - padding[2];\n    if (dx < 0) {\n      x += dx / 2;\n      dx = 0;\n    }\n    if (dy < 0) {\n      y += dy / 2;\n      dy = 0;\n    }\n    return {\n      x: x,\n      y: y,\n      dx: dx,\n      dy: dy\n    };\n  }\n  d3.random = {\n    normal: function(µ, σ) {\n      var n = arguments.length;\n      if (n < 2) σ = 1;\n      if (n < 1) µ = 0;\n      return function() {\n        var x, y, r;\n        do {\n          x = Math.random() * 2 - 1;\n          y = Math.random() * 2 - 1;\n          r = x * x + y * y;\n        } while (!r || r > 1);\n        return µ + σ * x * Math.sqrt(-2 * Math.log(r) / r);\n      };\n    },\n    logNormal: function() {\n      var random = d3.random.normal.apply(d3, arguments);\n      return function() {\n        return Math.exp(random());\n      };\n    },\n    bates: function(m) {\n      var random = d3.random.irwinHall(m);\n      return function() {\n        return random() / m;\n      };\n    },\n    irwinHall: function(m) {\n      return function() {\n        for (var s = 0, j = 0; j < m; j++) s += Math.random();\n        return s;\n      };\n    }\n  };\n  d3.scale = {};\n  function d3_scaleExtent(domain) {\n    var start = domain[0], stop = domain[domain.length - 1];\n    return start < stop ? [ start, stop ] : [ stop, start ];\n  }\n  function d3_scaleRange(scale) {\n    return scale.rangeExtent ? scale.rangeExtent() : d3_scaleExtent(scale.range());\n  }\n  function d3_scale_bilinear(domain, range, uninterpolate, interpolate) {\n    var u = uninterpolate(domain[0], domain[1]), i = interpolate(range[0], range[1]);\n    return function(x) {\n      return i(u(x));\n    };\n  }\n  function d3_scale_nice(domain, nice) {\n    var i0 = 0, i1 = domain.length - 1, x0 = domain[i0], x1 = domain[i1], dx;\n    if (x1 < x0) {\n      dx = i0, i0 = i1, i1 = dx;\n      dx = x0, x0 = x1, x1 = dx;\n    }\n    domain[i0] = nice.floor(x0);\n    domain[i1] = nice.ceil(x1);\n    return domain;\n  }\n  function d3_scale_niceStep(step) {\n    return step ? {\n      floor: function(x) {\n        return Math.floor(x / step) * step;\n      },\n      ceil: function(x) {\n        return Math.ceil(x / step) * step;\n      }\n    } : d3_scale_niceIdentity;\n  }\n  var d3_scale_niceIdentity = {\n    floor: d3_identity,\n    ceil: d3_identity\n  };\n  function d3_scale_polylinear(domain, range, uninterpolate, interpolate) {\n    var u = [], i = [], j = 0, k = Math.min(domain.length, range.length) - 1;\n    if (domain[k] < domain[0]) {\n      domain = domain.slice().reverse();\n      range = range.slice().reverse();\n    }\n    while (++j <= k) {\n      u.push(uninterpolate(domain[j - 1], domain[j]));\n      i.push(interpolate(range[j - 1], range[j]));\n    }\n    return function(x) {\n      var j = d3.bisect(domain, x, 1, k) - 1;\n      return i[j](u[j](x));\n    };\n  }\n  d3.scale.linear = function() {\n    return d3_scale_linear([ 0, 1 ], [ 0, 1 ], d3_interpolate, false);\n  };\n  function d3_scale_linear(domain, range, interpolate, clamp) {\n    var output, input;\n    function rescale() {\n      var linear = Math.min(domain.length, range.length) > 2 ? d3_scale_polylinear : d3_scale_bilinear, uninterpolate = clamp ? d3_uninterpolateClamp : d3_uninterpolateNumber;\n      output = linear(domain, range, uninterpolate, interpolate);\n      input = linear(range, domain, uninterpolate, d3_interpolate);\n      return scale;\n    }\n    function scale(x) {\n      return output(x);\n    }\n    scale.invert = function(y) {\n      return input(y);\n    };\n    scale.domain = function(x) {\n      if (!arguments.length) return domain;\n      domain = x.map(Number);\n      return rescale();\n    };\n    scale.range = function(x) {\n      if (!arguments.length) return range;\n      range = x;\n      return rescale();\n    };\n    scale.rangeRound = function(x) {\n      return scale.range(x).interpolate(d3_interpolateRound);\n    };\n    scale.clamp = function(x) {\n      if (!arguments.length) return clamp;\n      clamp = x;\n      return rescale();\n    };\n    scale.interpolate = function(x) {\n      if (!arguments.length) return interpolate;\n      interpolate = x;\n      return rescale();\n    };\n    scale.ticks = function(m) {\n      return d3_scale_linearTicks(domain, m);\n    };\n    scale.tickFormat = function(m, format) {\n      return d3_scale_linearTickFormat(domain, m, format);\n    };\n    scale.nice = function(m) {\n      d3_scale_linearNice(domain, m);\n      return rescale();\n    };\n    scale.copy = function() {\n      return d3_scale_linear(domain, range, interpolate, clamp);\n    };\n    return rescale();\n  }\n  function d3_scale_linearRebind(scale, linear) {\n    return d3.rebind(scale, linear, \"range\", \"rangeRound\", \"interpolate\", \"clamp\");\n  }\n  function d3_scale_linearNice(domain, m) {\n    d3_scale_nice(domain, d3_scale_niceStep(d3_scale_linearTickRange(domain, m)[2]));\n    d3_scale_nice(domain, d3_scale_niceStep(d3_scale_linearTickRange(domain, m)[2]));\n    return domain;\n  }\n  function d3_scale_linearTickRange(domain, m) {\n    if (m == null) m = 10;\n    var extent = d3_scaleExtent(domain), span = extent[1] - extent[0], step = Math.pow(10, Math.floor(Math.log(span / m) / Math.LN10)), err = m / span * step;\n    if (err <= .15) step *= 10; else if (err <= .35) step *= 5; else if (err <= .75) step *= 2;\n    extent[0] = Math.ceil(extent[0] / step) * step;\n    extent[1] = Math.floor(extent[1] / step) * step + step * .5;\n    extent[2] = step;\n    return extent;\n  }\n  function d3_scale_linearTicks(domain, m) {\n    return d3.range.apply(d3, d3_scale_linearTickRange(domain, m));\n  }\n  function d3_scale_linearTickFormat(domain, m, format) {\n    var range = d3_scale_linearTickRange(domain, m);\n    if (format) {\n      var match = d3_format_re.exec(format);\n      match.shift();\n      if (match[8] === \"s\") {\n        var prefix = d3.formatPrefix(Math.max(abs(range[0]), abs(range[1])));\n        if (!match[7]) match[7] = \".\" + d3_scale_linearPrecision(prefix.scale(range[2]));\n        match[8] = \"f\";\n        format = d3.format(match.join(\"\"));\n        return function(d) {\n          return format(prefix.scale(d)) + prefix.symbol;\n        };\n      }\n      if (!match[7]) match[7] = \".\" + d3_scale_linearFormatPrecision(match[8], range);\n      format = match.join(\"\");\n    } else {\n      format = \",.\" + d3_scale_linearPrecision(range[2]) + \"f\";\n    }\n    return d3.format(format);\n  }\n  var d3_scale_linearFormatSignificant = {\n    s: 1,\n    g: 1,\n    p: 1,\n    r: 1,\n    e: 1\n  };\n  function d3_scale_linearPrecision(value) {\n    return -Math.floor(Math.log(value) / Math.LN10 + .01);\n  }\n  function d3_scale_linearFormatPrecision(type, range) {\n    var p = d3_scale_linearPrecision(range[2]);\n    return type in d3_scale_linearFormatSignificant ? Math.abs(p - d3_scale_linearPrecision(Math.max(abs(range[0]), abs(range[1])))) + +(type !== \"e\") : p - (type === \"%\") * 2;\n  }\n  d3.scale.log = function() {\n    return d3_scale_log(d3.scale.linear().domain([ 0, 1 ]), 10, true, [ 1, 10 ]);\n  };\n  function d3_scale_log(linear, base, positive, domain) {\n    function log(x) {\n      return (positive ? Math.log(x < 0 ? 0 : x) : -Math.log(x > 0 ? 0 : -x)) / Math.log(base);\n    }\n    function pow(x) {\n      return positive ? Math.pow(base, x) : -Math.pow(base, -x);\n    }\n    function scale(x) {\n      return linear(log(x));\n    }\n    scale.invert = function(x) {\n      return pow(linear.invert(x));\n    };\n    scale.domain = function(x) {\n      if (!arguments.length) return domain;\n      positive = x[0] >= 0;\n      linear.domain((domain = x.map(Number)).map(log));\n      return scale;\n    };\n    scale.base = function(_) {\n      if (!arguments.length) return base;\n      base = +_;\n      linear.domain(domain.map(log));\n      return scale;\n    };\n    scale.nice = function() {\n      var niced = d3_scale_nice(domain.map(log), positive ? Math : d3_scale_logNiceNegative);\n      linear.domain(niced);\n      domain = niced.map(pow);\n      return scale;\n    };\n    scale.ticks = function() {\n      var extent = d3_scaleExtent(domain), ticks = [], u = extent[0], v = extent[1], i = Math.floor(log(u)), j = Math.ceil(log(v)), n = base % 1 ? 2 : base;\n      if (isFinite(j - i)) {\n        if (positive) {\n          for (;i < j; i++) for (var k = 1; k < n; k++) ticks.push(pow(i) * k);\n          ticks.push(pow(i));\n        } else {\n          ticks.push(pow(i));\n          for (;i++ < j; ) for (var k = n - 1; k > 0; k--) ticks.push(pow(i) * k);\n        }\n        for (i = 0; ticks[i] < u; i++) {}\n        for (j = ticks.length; ticks[j - 1] > v; j--) {}\n        ticks = ticks.slice(i, j);\n      }\n      return ticks;\n    };\n    scale.tickFormat = function(n, format) {\n      if (!arguments.length) return d3_scale_logFormat;\n      if (arguments.length < 2) format = d3_scale_logFormat; else if (typeof format !== \"function\") format = d3.format(format);\n      var k = Math.max(1, base * n / scale.ticks().length);\n      return function(d) {\n        var i = d / pow(Math.round(log(d)));\n        if (i * base < base - .5) i *= base;\n        return i <= k ? format(d) : \"\";\n      };\n    };\n    scale.copy = function() {\n      return d3_scale_log(linear.copy(), base, positive, domain);\n    };\n    return d3_scale_linearRebind(scale, linear);\n  }\n  var d3_scale_logFormat = d3.format(\".0e\"), d3_scale_logNiceNegative = {\n    floor: function(x) {\n      return -Math.ceil(-x);\n    },\n    ceil: function(x) {\n      return -Math.floor(-x);\n    }\n  };\n  d3.scale.pow = function() {\n    return d3_scale_pow(d3.scale.linear(), 1, [ 0, 1 ]);\n  };\n  function d3_scale_pow(linear, exponent, domain) {\n    var powp = d3_scale_powPow(exponent), powb = d3_scale_powPow(1 / exponent);\n    function scale(x) {\n      return linear(powp(x));\n    }\n    scale.invert = function(x) {\n      return powb(linear.invert(x));\n    };\n    scale.domain = function(x) {\n      if (!arguments.length) return domain;\n      linear.domain((domain = x.map(Number)).map(powp));\n      return scale;\n    };\n    scale.ticks = function(m) {\n      return d3_scale_linearTicks(domain, m);\n    };\n    scale.tickFormat = function(m, format) {\n      return d3_scale_linearTickFormat(domain, m, format);\n    };\n    scale.nice = function(m) {\n      return scale.domain(d3_scale_linearNice(domain, m));\n    };\n    scale.exponent = function(x) {\n      if (!arguments.length) return exponent;\n      powp = d3_scale_powPow(exponent = x);\n      powb = d3_scale_powPow(1 / exponent);\n      linear.domain(domain.map(powp));\n      return scale;\n    };\n    scale.copy = function() {\n      return d3_scale_pow(linear.copy(), exponent, domain);\n    };\n    return d3_scale_linearRebind(scale, linear);\n  }\n  function d3_scale_powPow(e) {\n    return function(x) {\n      return x < 0 ? -Math.pow(-x, e) : Math.pow(x, e);\n    };\n  }\n  d3.scale.sqrt = function() {\n    return d3.scale.pow().exponent(.5);\n  };\n  d3.scale.ordinal = function() {\n    return d3_scale_ordinal([], {\n      t: \"range\",\n      a: [ [] ]\n    });\n  };\n  function d3_scale_ordinal(domain, ranger) {\n    var index, range, rangeBand;\n    function scale(x) {\n      return range[((index.get(x) || (ranger.t === \"range\" ? index.set(x, domain.push(x)) : NaN)) - 1) % range.length];\n    }\n    function steps(start, step) {\n      return d3.range(domain.length).map(function(i) {\n        return start + step * i;\n      });\n    }\n    scale.domain = function(x) {\n      if (!arguments.length) return domain;\n      domain = [];\n      index = new d3_Map();\n      var i = -1, n = x.length, xi;\n      while (++i < n) if (!index.has(xi = x[i])) index.set(xi, domain.push(xi));\n      return scale[ranger.t].apply(scale, ranger.a);\n    };\n    scale.range = function(x) {\n      if (!arguments.length) return range;\n      range = x;\n      rangeBand = 0;\n      ranger = {\n        t: \"range\",\n        a: arguments\n      };\n      return scale;\n    };\n    scale.rangePoints = function(x, padding) {\n      if (arguments.length < 2) padding = 0;\n      var start = x[0], stop = x[1], step = domain.length < 2 ? (start = (start + stop) / 2, \n      0) : (stop - start) / (domain.length - 1 + padding);\n      range = steps(start + step * padding / 2, step);\n      rangeBand = 0;\n      ranger = {\n        t: \"rangePoints\",\n        a: arguments\n      };\n      return scale;\n    };\n    scale.rangeRoundPoints = function(x, padding) {\n      if (arguments.length < 2) padding = 0;\n      var start = x[0], stop = x[1], step = domain.length < 2 ? (start = stop = Math.round((start + stop) / 2), \n      0) : (stop - start) / (domain.length - 1 + padding) | 0;\n      range = steps(start + Math.round(step * padding / 2 + (stop - start - (domain.length - 1 + padding) * step) / 2), step);\n      rangeBand = 0;\n      ranger = {\n        t: \"rangeRoundPoints\",\n        a: arguments\n      };\n      return scale;\n    };\n    scale.rangeBands = function(x, padding, outerPadding) {\n      if (arguments.length < 2) padding = 0;\n      if (arguments.length < 3) outerPadding = padding;\n      var reverse = x[1] < x[0], start = x[reverse - 0], stop = x[1 - reverse], step = (stop - start) / (domain.length - padding + 2 * outerPadding);\n      range = steps(start + step * outerPadding, step);\n      if (reverse) range.reverse();\n      rangeBand = step * (1 - padding);\n      ranger = {\n        t: \"rangeBands\",\n        a: arguments\n      };\n      return scale;\n    };\n    scale.rangeRoundBands = function(x, padding, outerPadding) {\n      if (arguments.length < 2) padding = 0;\n      if (arguments.length < 3) outerPadding = padding;\n      var reverse = x[1] < x[0], start = x[reverse - 0], stop = x[1 - reverse], step = Math.floor((stop - start) / (domain.length - padding + 2 * outerPadding));\n      range = steps(start + Math.round((stop - start - (domain.length - padding) * step) / 2), step);\n      if (reverse) range.reverse();\n      rangeBand = Math.round(step * (1 - padding));\n      ranger = {\n        t: \"rangeRoundBands\",\n        a: arguments\n      };\n      return scale;\n    };\n    scale.rangeBand = function() {\n      return rangeBand;\n    };\n    scale.rangeExtent = function() {\n      return d3_scaleExtent(ranger.a[0]);\n    };\n    scale.copy = function() {\n      return d3_scale_ordinal(domain, ranger);\n    };\n    return scale.domain(domain);\n  }\n  d3.scale.category10 = function() {\n    return d3.scale.ordinal().range(d3_category10);\n  };\n  d3.scale.category20 = function() {\n    return d3.scale.ordinal().range(d3_category20);\n  };\n  d3.scale.category20b = function() {\n    return d3.scale.ordinal().range(d3_category20b);\n  };\n  d3.scale.category20c = function() {\n    return d3.scale.ordinal().range(d3_category20c);\n  };\n  var d3_category10 = [ 2062260, 16744206, 2924588, 14034728, 9725885, 9197131, 14907330, 8355711, 12369186, 1556175 ].map(d3_rgbString);\n  var d3_category20 = [ 2062260, 11454440, 16744206, 16759672, 2924588, 10018698, 14034728, 16750742, 9725885, 12955861, 9197131, 12885140, 14907330, 16234194, 8355711, 13092807, 12369186, 14408589, 1556175, 10410725 ].map(d3_rgbString);\n  var d3_category20b = [ 3750777, 5395619, 7040719, 10264286, 6519097, 9216594, 11915115, 13556636, 9202993, 12426809, 15186514, 15190932, 8666169, 11356490, 14049643, 15177372, 8077683, 10834324, 13528509, 14589654 ].map(d3_rgbString);\n  var d3_category20c = [ 3244733, 7057110, 10406625, 13032431, 15095053, 16616764, 16625259, 16634018, 3253076, 7652470, 10607003, 13101504, 7695281, 10394312, 12369372, 14342891, 6513507, 9868950, 12434877, 14277081 ].map(d3_rgbString);\n  d3.scale.quantile = function() {\n    return d3_scale_quantile([], []);\n  };\n  function d3_scale_quantile(domain, range) {\n    var thresholds;\n    function rescale() {\n      var k = 0, q = range.length;\n      thresholds = [];\n      while (++k < q) thresholds[k - 1] = d3.quantile(domain, k / q);\n      return scale;\n    }\n    function scale(x) {\n      if (!isNaN(x = +x)) return range[d3.bisect(thresholds, x)];\n    }\n    scale.domain = function(x) {\n      if (!arguments.length) return domain;\n      domain = x.map(d3_number).filter(d3_numeric).sort(d3_ascending);\n      return rescale();\n    };\n    scale.range = function(x) {\n      if (!arguments.length) return range;\n      range = x;\n      return rescale();\n    };\n    scale.quantiles = function() {\n      return thresholds;\n    };\n    scale.invertExtent = function(y) {\n      y = range.indexOf(y);\n      return y < 0 ? [ NaN, NaN ] : [ y > 0 ? thresholds[y - 1] : domain[0], y < thresholds.length ? thresholds[y] : domain[domain.length - 1] ];\n    };\n    scale.copy = function() {\n      return d3_scale_quantile(domain, range);\n    };\n    return rescale();\n  }\n  d3.scale.quantize = function() {\n    return d3_scale_quantize(0, 1, [ 0, 1 ]);\n  };\n  function d3_scale_quantize(x0, x1, range) {\n    var kx, i;\n    function scale(x) {\n      return range[Math.max(0, Math.min(i, Math.floor(kx * (x - x0))))];\n    }\n    function rescale() {\n      kx = range.length / (x1 - x0);\n      i = range.length - 1;\n      return scale;\n    }\n    scale.domain = function(x) {\n      if (!arguments.length) return [ x0, x1 ];\n      x0 = +x[0];\n      x1 = +x[x.length - 1];\n      return rescale();\n    };\n    scale.range = function(x) {\n      if (!arguments.length) return range;\n      range = x;\n      return rescale();\n    };\n    scale.invertExtent = function(y) {\n      y = range.indexOf(y);\n      y = y < 0 ? NaN : y / kx + x0;\n      return [ y, y + 1 / kx ];\n    };\n    scale.copy = function() {\n      return d3_scale_quantize(x0, x1, range);\n    };\n    return rescale();\n  }\n  d3.scale.threshold = function() {\n    return d3_scale_threshold([ .5 ], [ 0, 1 ]);\n  };\n  function d3_scale_threshold(domain, range) {\n    function scale(x) {\n      if (x <= x) return range[d3.bisect(domain, x)];\n    }\n    scale.domain = function(_) {\n      if (!arguments.length) return domain;\n      domain = _;\n      return scale;\n    };\n    scale.range = function(_) {\n      if (!arguments.length) return range;\n      range = _;\n      return scale;\n    };\n    scale.invertExtent = function(y) {\n      y = range.indexOf(y);\n      return [ domain[y - 1], domain[y] ];\n    };\n    scale.copy = function() {\n      return d3_scale_threshold(domain, range);\n    };\n    return scale;\n  }\n  d3.scale.identity = function() {\n    return d3_scale_identity([ 0, 1 ]);\n  };\n  function d3_scale_identity(domain) {\n    function identity(x) {\n      return +x;\n    }\n    identity.invert = identity;\n    identity.domain = identity.range = function(x) {\n      if (!arguments.length) return domain;\n      domain = x.map(identity);\n      return identity;\n    };\n    identity.ticks = function(m) {\n      return d3_scale_linearTicks(domain, m);\n    };\n    identity.tickFormat = function(m, format) {\n      return d3_scale_linearTickFormat(domain, m, format);\n    };\n    identity.copy = function() {\n      return d3_scale_identity(domain);\n    };\n    return identity;\n  }\n  d3.svg = {};\n  function d3_zero() {\n    return 0;\n  }\n  d3.svg.arc = function() {\n    var innerRadius = d3_svg_arcInnerRadius, outerRadius = d3_svg_arcOuterRadius, cornerRadius = d3_zero, padRadius = d3_svg_arcAuto, startAngle = d3_svg_arcStartAngle, endAngle = d3_svg_arcEndAngle, padAngle = d3_svg_arcPadAngle;\n    function arc() {\n      var r0 = Math.max(0, +innerRadius.apply(this, arguments)), r1 = Math.max(0, +outerRadius.apply(this, arguments)), a0 = startAngle.apply(this, arguments) - halfπ, a1 = endAngle.apply(this, arguments) - halfπ, da = Math.abs(a1 - a0), cw = a0 > a1 ? 0 : 1;\n      if (r1 < r0) rc = r1, r1 = r0, r0 = rc;\n      if (da >= τε) return circleSegment(r1, cw) + (r0 ? circleSegment(r0, 1 - cw) : \"\") + \"Z\";\n      var rc, cr, rp, ap, p0 = 0, p1 = 0, x0, y0, x1, y1, x2, y2, x3, y3, path = [];\n      if (ap = (+padAngle.apply(this, arguments) || 0) / 2) {\n        rp = padRadius === d3_svg_arcAuto ? Math.sqrt(r0 * r0 + r1 * r1) : +padRadius.apply(this, arguments);\n        if (!cw) p1 *= -1;\n        if (r1) p1 = d3_asin(rp / r1 * Math.sin(ap));\n        if (r0) p0 = d3_asin(rp / r0 * Math.sin(ap));\n      }\n      if (r1) {\n        x0 = r1 * Math.cos(a0 + p1);\n        y0 = r1 * Math.sin(a0 + p1);\n        x1 = r1 * Math.cos(a1 - p1);\n        y1 = r1 * Math.sin(a1 - p1);\n        var l1 = Math.abs(a1 - a0 - 2 * p1) <= π ? 0 : 1;\n        if (p1 && d3_svg_arcSweep(x0, y0, x1, y1) === cw ^ l1) {\n          var h1 = (a0 + a1) / 2;\n          x0 = r1 * Math.cos(h1);\n          y0 = r1 * Math.sin(h1);\n          x1 = y1 = null;\n        }\n      } else {\n        x0 = y0 = 0;\n      }\n      if (r0) {\n        x2 = r0 * Math.cos(a1 - p0);\n        y2 = r0 * Math.sin(a1 - p0);\n        x3 = r0 * Math.cos(a0 + p0);\n        y3 = r0 * Math.sin(a0 + p0);\n        var l0 = Math.abs(a0 - a1 + 2 * p0) <= π ? 0 : 1;\n        if (p0 && d3_svg_arcSweep(x2, y2, x3, y3) === 1 - cw ^ l0) {\n          var h0 = (a0 + a1) / 2;\n          x2 = r0 * Math.cos(h0);\n          y2 = r0 * Math.sin(h0);\n          x3 = y3 = null;\n        }\n      } else {\n        x2 = y2 = 0;\n      }\n      if (da > ε && (rc = Math.min(Math.abs(r1 - r0) / 2, +cornerRadius.apply(this, arguments))) > .001) {\n        cr = r0 < r1 ^ cw ? 0 : 1;\n        var rc1 = rc, rc0 = rc;\n        if (da < π) {\n          var oc = x3 == null ? [ x2, y2 ] : x1 == null ? [ x0, y0 ] : d3_geom_polygonIntersect([ x0, y0 ], [ x3, y3 ], [ x1, y1 ], [ x2, y2 ]), ax = x0 - oc[0], ay = y0 - oc[1], bx = x1 - oc[0], by = y1 - oc[1], kc = 1 / Math.sin(Math.acos((ax * bx + ay * by) / (Math.sqrt(ax * ax + ay * ay) * Math.sqrt(bx * bx + by * by))) / 2), lc = Math.sqrt(oc[0] * oc[0] + oc[1] * oc[1]);\n          rc0 = Math.min(rc, (r0 - lc) / (kc - 1));\n          rc1 = Math.min(rc, (r1 - lc) / (kc + 1));\n        }\n        if (x1 != null) {\n          var t30 = d3_svg_arcCornerTangents(x3 == null ? [ x2, y2 ] : [ x3, y3 ], [ x0, y0 ], r1, rc1, cw), t12 = d3_svg_arcCornerTangents([ x1, y1 ], [ x2, y2 ], r1, rc1, cw);\n          if (rc === rc1) {\n            path.push(\"M\", t30[0], \"A\", rc1, \",\", rc1, \" 0 0,\", cr, \" \", t30[1], \"A\", r1, \",\", r1, \" 0 \", 1 - cw ^ d3_svg_arcSweep(t30[1][0], t30[1][1], t12[1][0], t12[1][1]), \",\", cw, \" \", t12[1], \"A\", rc1, \",\", rc1, \" 0 0,\", cr, \" \", t12[0]);\n          } else {\n            path.push(\"M\", t30[0], \"A\", rc1, \",\", rc1, \" 0 1,\", cr, \" \", t12[0]);\n          }\n        } else {\n          path.push(\"M\", x0, \",\", y0);\n        }\n        if (x3 != null) {\n          var t03 = d3_svg_arcCornerTangents([ x0, y0 ], [ x3, y3 ], r0, -rc0, cw), t21 = d3_svg_arcCornerTangents([ x2, y2 ], x1 == null ? [ x0, y0 ] : [ x1, y1 ], r0, -rc0, cw);\n          if (rc === rc0) {\n            path.push(\"L\", t21[0], \"A\", rc0, \",\", rc0, \" 0 0,\", cr, \" \", t21[1], \"A\", r0, \",\", r0, \" 0 \", cw ^ d3_svg_arcSweep(t21[1][0], t21[1][1], t03[1][0], t03[1][1]), \",\", 1 - cw, \" \", t03[1], \"A\", rc0, \",\", rc0, \" 0 0,\", cr, \" \", t03[0]);\n          } else {\n            path.push(\"L\", t21[0], \"A\", rc0, \",\", rc0, \" 0 0,\", cr, \" \", t03[0]);\n          }\n        } else {\n          path.push(\"L\", x2, \",\", y2);\n        }\n      } else {\n        path.push(\"M\", x0, \",\", y0);\n        if (x1 != null) path.push(\"A\", r1, \",\", r1, \" 0 \", l1, \",\", cw, \" \", x1, \",\", y1);\n        path.push(\"L\", x2, \",\", y2);\n        if (x3 != null) path.push(\"A\", r0, \",\", r0, \" 0 \", l0, \",\", 1 - cw, \" \", x3, \",\", y3);\n      }\n      path.push(\"Z\");\n      return path.join(\"\");\n    }\n    function circleSegment(r1, cw) {\n      return \"M0,\" + r1 + \"A\" + r1 + \",\" + r1 + \" 0 1,\" + cw + \" 0,\" + -r1 + \"A\" + r1 + \",\" + r1 + \" 0 1,\" + cw + \" 0,\" + r1;\n    }\n    arc.innerRadius = function(v) {\n      if (!arguments.length) return innerRadius;\n      innerRadius = d3_functor(v);\n      return arc;\n    };\n    arc.outerRadius = function(v) {\n      if (!arguments.length) return outerRadius;\n      outerRadius = d3_functor(v);\n      return arc;\n    };\n    arc.cornerRadius = function(v) {\n      if (!arguments.length) return cornerRadius;\n      cornerRadius = d3_functor(v);\n      return arc;\n    };\n    arc.padRadius = function(v) {\n      if (!arguments.length) return padRadius;\n      padRadius = v == d3_svg_arcAuto ? d3_svg_arcAuto : d3_functor(v);\n      return arc;\n    };\n    arc.startAngle = function(v) {\n      if (!arguments.length) return startAngle;\n      startAngle = d3_functor(v);\n      return arc;\n    };\n    arc.endAngle = function(v) {\n      if (!arguments.length) return endAngle;\n      endAngle = d3_functor(v);\n      return arc;\n    };\n    arc.padAngle = function(v) {\n      if (!arguments.length) return padAngle;\n      padAngle = d3_functor(v);\n      return arc;\n    };\n    arc.centroid = function() {\n      var r = (+innerRadius.apply(this, arguments) + +outerRadius.apply(this, arguments)) / 2, a = (+startAngle.apply(this, arguments) + +endAngle.apply(this, arguments)) / 2 - halfπ;\n      return [ Math.cos(a) * r, Math.sin(a) * r ];\n    };\n    return arc;\n  };\n  var d3_svg_arcAuto = \"auto\";\n  function d3_svg_arcInnerRadius(d) {\n    return d.innerRadius;\n  }\n  function d3_svg_arcOuterRadius(d) {\n    return d.outerRadius;\n  }\n  function d3_svg_arcStartAngle(d) {\n    return d.startAngle;\n  }\n  function d3_svg_arcEndAngle(d) {\n    return d.endAngle;\n  }\n  function d3_svg_arcPadAngle(d) {\n    return d && d.padAngle;\n  }\n  function d3_svg_arcSweep(x0, y0, x1, y1) {\n    return (x0 - x1) * y0 - (y0 - y1) * x0 > 0 ? 0 : 1;\n  }\n  function d3_svg_arcCornerTangents(p0, p1, r1, rc, cw) {\n    var x01 = p0[0] - p1[0], y01 = p0[1] - p1[1], lo = (cw ? rc : -rc) / Math.sqrt(x01 * x01 + y01 * y01), ox = lo * y01, oy = -lo * x01, x1 = p0[0] + ox, y1 = p0[1] + oy, x2 = p1[0] + ox, y2 = p1[1] + oy, x3 = (x1 + x2) / 2, y3 = (y1 + y2) / 2, dx = x2 - x1, dy = y2 - y1, d2 = dx * dx + dy * dy, r = r1 - rc, D = x1 * y2 - x2 * y1, d = (dy < 0 ? -1 : 1) * Math.sqrt(Math.max(0, r * r * d2 - D * D)), cx0 = (D * dy - dx * d) / d2, cy0 = (-D * dx - dy * d) / d2, cx1 = (D * dy + dx * d) / d2, cy1 = (-D * dx + dy * d) / d2, dx0 = cx0 - x3, dy0 = cy0 - y3, dx1 = cx1 - x3, dy1 = cy1 - y3;\n    if (dx0 * dx0 + dy0 * dy0 > dx1 * dx1 + dy1 * dy1) cx0 = cx1, cy0 = cy1;\n    return [ [ cx0 - ox, cy0 - oy ], [ cx0 * r1 / r, cy0 * r1 / r ] ];\n  }\n  function d3_svg_line(projection) {\n    var x = d3_geom_pointX, y = d3_geom_pointY, defined = d3_true, interpolate = d3_svg_lineLinear, interpolateKey = interpolate.key, tension = .7;\n    function line(data) {\n      var segments = [], points = [], i = -1, n = data.length, d, fx = d3_functor(x), fy = d3_functor(y);\n      function segment() {\n        segments.push(\"M\", interpolate(projection(points), tension));\n      }\n      while (++i < n) {\n        if (defined.call(this, d = data[i], i)) {\n          points.push([ +fx.call(this, d, i), +fy.call(this, d, i) ]);\n        } else if (points.length) {\n          segment();\n          points = [];\n        }\n      }\n      if (points.length) segment();\n      return segments.length ? segments.join(\"\") : null;\n    }\n    line.x = function(_) {\n      if (!arguments.length) return x;\n      x = _;\n      return line;\n    };\n    line.y = function(_) {\n      if (!arguments.length) return y;\n      y = _;\n      return line;\n    };\n    line.defined = function(_) {\n      if (!arguments.length) return defined;\n      defined = _;\n      return line;\n    };\n    line.interpolate = function(_) {\n      if (!arguments.length) return interpolateKey;\n      if (typeof _ === \"function\") interpolateKey = interpolate = _; else interpolateKey = (interpolate = d3_svg_lineInterpolators.get(_) || d3_svg_lineLinear).key;\n      return line;\n    };\n    line.tension = function(_) {\n      if (!arguments.length) return tension;\n      tension = _;\n      return line;\n    };\n    return line;\n  }\n  d3.svg.line = function() {\n    return d3_svg_line(d3_identity);\n  };\n  var d3_svg_lineInterpolators = d3.map({\n    linear: d3_svg_lineLinear,\n    \"linear-closed\": d3_svg_lineLinearClosed,\n    step: d3_svg_lineStep,\n    \"step-before\": d3_svg_lineStepBefore,\n    \"step-after\": d3_svg_lineStepAfter,\n    basis: d3_svg_lineBasis,\n    \"basis-open\": d3_svg_lineBasisOpen,\n    \"basis-closed\": d3_svg_lineBasisClosed,\n    bundle: d3_svg_lineBundle,\n    cardinal: d3_svg_lineCardinal,\n    \"cardinal-open\": d3_svg_lineCardinalOpen,\n    \"cardinal-closed\": d3_svg_lineCardinalClosed,\n    monotone: d3_svg_lineMonotone\n  });\n  d3_svg_lineInterpolators.forEach(function(key, value) {\n    value.key = key;\n    value.closed = /-closed$/.test(key);\n  });\n  function d3_svg_lineLinear(points) {\n    return points.length > 1 ? points.join(\"L\") : points + \"Z\";\n  }\n  function d3_svg_lineLinearClosed(points) {\n    return points.join(\"L\") + \"Z\";\n  }\n  function d3_svg_lineStep(points) {\n    var i = 0, n = points.length, p = points[0], path = [ p[0], \",\", p[1] ];\n    while (++i < n) path.push(\"H\", (p[0] + (p = points[i])[0]) / 2, \"V\", p[1]);\n    if (n > 1) path.push(\"H\", p[0]);\n    return path.join(\"\");\n  }\n  function d3_svg_lineStepBefore(points) {\n    var i = 0, n = points.length, p = points[0], path = [ p[0], \",\", p[1] ];\n    while (++i < n) path.push(\"V\", (p = points[i])[1], \"H\", p[0]);\n    return path.join(\"\");\n  }\n  function d3_svg_lineStepAfter(points) {\n    var i = 0, n = points.length, p = points[0], path = [ p[0], \",\", p[1] ];\n    while (++i < n) path.push(\"H\", (p = points[i])[0], \"V\", p[1]);\n    return path.join(\"\");\n  }\n  function d3_svg_lineCardinalOpen(points, tension) {\n    return points.length < 4 ? d3_svg_lineLinear(points) : points[1] + d3_svg_lineHermite(points.slice(1, -1), d3_svg_lineCardinalTangents(points, tension));\n  }\n  function d3_svg_lineCardinalClosed(points, tension) {\n    return points.length < 3 ? d3_svg_lineLinearClosed(points) : points[0] + d3_svg_lineHermite((points.push(points[0]), \n    points), d3_svg_lineCardinalTangents([ points[points.length - 2] ].concat(points, [ points[1] ]), tension));\n  }\n  function d3_svg_lineCardinal(points, tension) {\n    return points.length < 3 ? d3_svg_lineLinear(points) : points[0] + d3_svg_lineHermite(points, d3_svg_lineCardinalTangents(points, tension));\n  }\n  function d3_svg_lineHermite(points, tangents) {\n    if (tangents.length < 1 || points.length != tangents.length && points.length != tangents.length + 2) {\n      return d3_svg_lineLinear(points);\n    }\n    var quad = points.length != tangents.length, path = \"\", p0 = points[0], p = points[1], t0 = tangents[0], t = t0, pi = 1;\n    if (quad) {\n      path += \"Q\" + (p[0] - t0[0] * 2 / 3) + \",\" + (p[1] - t0[1] * 2 / 3) + \",\" + p[0] + \",\" + p[1];\n      p0 = points[1];\n      pi = 2;\n    }\n    if (tangents.length > 1) {\n      t = tangents[1];\n      p = points[pi];\n      pi++;\n      path += \"C\" + (p0[0] + t0[0]) + \",\" + (p0[1] + t0[1]) + \",\" + (p[0] - t[0]) + \",\" + (p[1] - t[1]) + \",\" + p[0] + \",\" + p[1];\n      for (var i = 2; i < tangents.length; i++, pi++) {\n        p = points[pi];\n        t = tangents[i];\n        path += \"S\" + (p[0] - t[0]) + \",\" + (p[1] - t[1]) + \",\" + p[0] + \",\" + p[1];\n      }\n    }\n    if (quad) {\n      var lp = points[pi];\n      path += \"Q\" + (p[0] + t[0] * 2 / 3) + \",\" + (p[1] + t[1] * 2 / 3) + \",\" + lp[0] + \",\" + lp[1];\n    }\n    return path;\n  }\n  function d3_svg_lineCardinalTangents(points, tension) {\n    var tangents = [], a = (1 - tension) / 2, p0, p1 = points[0], p2 = points[1], i = 1, n = points.length;\n    while (++i < n) {\n      p0 = p1;\n      p1 = p2;\n      p2 = points[i];\n      tangents.push([ a * (p2[0] - p0[0]), a * (p2[1] - p0[1]) ]);\n    }\n    return tangents;\n  }\n  function d3_svg_lineBasis(points) {\n    if (points.length < 3) return d3_svg_lineLinear(points);\n    var i = 1, n = points.length, pi = points[0], x0 = pi[0], y0 = pi[1], px = [ x0, x0, x0, (pi = points[1])[0] ], py = [ y0, y0, y0, pi[1] ], path = [ x0, \",\", y0, \"L\", d3_svg_lineDot4(d3_svg_lineBasisBezier3, px), \",\", d3_svg_lineDot4(d3_svg_lineBasisBezier3, py) ];\n    points.push(points[n - 1]);\n    while (++i <= n) {\n      pi = points[i];\n      px.shift();\n      px.push(pi[0]);\n      py.shift();\n      py.push(pi[1]);\n      d3_svg_lineBasisBezier(path, px, py);\n    }\n    points.pop();\n    path.push(\"L\", pi);\n    return path.join(\"\");\n  }\n  function d3_svg_lineBasisOpen(points) {\n    if (points.length < 4) return d3_svg_lineLinear(points);\n    var path = [], i = -1, n = points.length, pi, px = [ 0 ], py = [ 0 ];\n    while (++i < 3) {\n      pi = points[i];\n      px.push(pi[0]);\n      py.push(pi[1]);\n    }\n    path.push(d3_svg_lineDot4(d3_svg_lineBasisBezier3, px) + \",\" + d3_svg_lineDot4(d3_svg_lineBasisBezier3, py));\n    --i;\n    while (++i < n) {\n      pi = points[i];\n      px.shift();\n      px.push(pi[0]);\n      py.shift();\n      py.push(pi[1]);\n      d3_svg_lineBasisBezier(path, px, py);\n    }\n    return path.join(\"\");\n  }\n  function d3_svg_lineBasisClosed(points) {\n    var path, i = -1, n = points.length, m = n + 4, pi, px = [], py = [];\n    while (++i < 4) {\n      pi = points[i % n];\n      px.push(pi[0]);\n      py.push(pi[1]);\n    }\n    path = [ d3_svg_lineDot4(d3_svg_lineBasisBezier3, px), \",\", d3_svg_lineDot4(d3_svg_lineBasisBezier3, py) ];\n    --i;\n    while (++i < m) {\n      pi = points[i % n];\n      px.shift();\n      px.push(pi[0]);\n      py.shift();\n      py.push(pi[1]);\n      d3_svg_lineBasisBezier(path, px, py);\n    }\n    return path.join(\"\");\n  }\n  function d3_svg_lineBundle(points, tension) {\n    var n = points.length - 1;\n    if (n) {\n      var x0 = points[0][0], y0 = points[0][1], dx = points[n][0] - x0, dy = points[n][1] - y0, i = -1, p, t;\n      while (++i <= n) {\n        p = points[i];\n        t = i / n;\n        p[0] = tension * p[0] + (1 - tension) * (x0 + t * dx);\n        p[1] = tension * p[1] + (1 - tension) * (y0 + t * dy);\n      }\n    }\n    return d3_svg_lineBasis(points);\n  }\n  function d3_svg_lineDot4(a, b) {\n    return a[0] * b[0] + a[1] * b[1] + a[2] * b[2] + a[3] * b[3];\n  }\n  var d3_svg_lineBasisBezier1 = [ 0, 2 / 3, 1 / 3, 0 ], d3_svg_lineBasisBezier2 = [ 0, 1 / 3, 2 / 3, 0 ], d3_svg_lineBasisBezier3 = [ 0, 1 / 6, 2 / 3, 1 / 6 ];\n  function d3_svg_lineBasisBezier(path, x, y) {\n    path.push(\"C\", d3_svg_lineDot4(d3_svg_lineBasisBezier1, x), \",\", d3_svg_lineDot4(d3_svg_lineBasisBezier1, y), \",\", d3_svg_lineDot4(d3_svg_lineBasisBezier2, x), \",\", d3_svg_lineDot4(d3_svg_lineBasisBezier2, y), \",\", d3_svg_lineDot4(d3_svg_lineBasisBezier3, x), \",\", d3_svg_lineDot4(d3_svg_lineBasisBezier3, y));\n  }\n  function d3_svg_lineSlope(p0, p1) {\n    return (p1[1] - p0[1]) / (p1[0] - p0[0]);\n  }\n  function d3_svg_lineFiniteDifferences(points) {\n    var i = 0, j = points.length - 1, m = [], p0 = points[0], p1 = points[1], d = m[0] = d3_svg_lineSlope(p0, p1);\n    while (++i < j) {\n      m[i] = (d + (d = d3_svg_lineSlope(p0 = p1, p1 = points[i + 1]))) / 2;\n    }\n    m[i] = d;\n    return m;\n  }\n  function d3_svg_lineMonotoneTangents(points) {\n    var tangents = [], d, a, b, s, m = d3_svg_lineFiniteDifferences(points), i = -1, j = points.length - 1;\n    while (++i < j) {\n      d = d3_svg_lineSlope(points[i], points[i + 1]);\n      if (abs(d) < ε) {\n        m[i] = m[i + 1] = 0;\n      } else {\n        a = m[i] / d;\n        b = m[i + 1] / d;\n        s = a * a + b * b;\n        if (s > 9) {\n          s = d * 3 / Math.sqrt(s);\n          m[i] = s * a;\n          m[i + 1] = s * b;\n        }\n      }\n    }\n    i = -1;\n    while (++i <= j) {\n      s = (points[Math.min(j, i + 1)][0] - points[Math.max(0, i - 1)][0]) / (6 * (1 + m[i] * m[i]));\n      tangents.push([ s || 0, m[i] * s || 0 ]);\n    }\n    return tangents;\n  }\n  function d3_svg_lineMonotone(points) {\n    return points.length < 3 ? d3_svg_lineLinear(points) : points[0] + d3_svg_lineHermite(points, d3_svg_lineMonotoneTangents(points));\n  }\n  d3.svg.line.radial = function() {\n    var line = d3_svg_line(d3_svg_lineRadial);\n    line.radius = line.x, delete line.x;\n    line.angle = line.y, delete line.y;\n    return line;\n  };\n  function d3_svg_lineRadial(points) {\n    var point, i = -1, n = points.length, r, a;\n    while (++i < n) {\n      point = points[i];\n      r = point[0];\n      a = point[1] - halfπ;\n      point[0] = r * Math.cos(a);\n      point[1] = r * Math.sin(a);\n    }\n    return points;\n  }\n  function d3_svg_area(projection) {\n    var x0 = d3_geom_pointX, x1 = d3_geom_pointX, y0 = 0, y1 = d3_geom_pointY, defined = d3_true, interpolate = d3_svg_lineLinear, interpolateKey = interpolate.key, interpolateReverse = interpolate, L = \"L\", tension = .7;\n    function area(data) {\n      var segments = [], points0 = [], points1 = [], i = -1, n = data.length, d, fx0 = d3_functor(x0), fy0 = d3_functor(y0), fx1 = x0 === x1 ? function() {\n        return x;\n      } : d3_functor(x1), fy1 = y0 === y1 ? function() {\n        return y;\n      } : d3_functor(y1), x, y;\n      function segment() {\n        segments.push(\"M\", interpolate(projection(points1), tension), L, interpolateReverse(projection(points0.reverse()), tension), \"Z\");\n      }\n      while (++i < n) {\n        if (defined.call(this, d = data[i], i)) {\n          points0.push([ x = +fx0.call(this, d, i), y = +fy0.call(this, d, i) ]);\n          points1.push([ +fx1.call(this, d, i), +fy1.call(this, d, i) ]);\n        } else if (points0.length) {\n          segment();\n          points0 = [];\n          points1 = [];\n        }\n      }\n      if (points0.length) segment();\n      return segments.length ? segments.join(\"\") : null;\n    }\n    area.x = function(_) {\n      if (!arguments.length) return x1;\n      x0 = x1 = _;\n      return area;\n    };\n    area.x0 = function(_) {\n      if (!arguments.length) return x0;\n      x0 = _;\n      return area;\n    };\n    area.x1 = function(_) {\n      if (!arguments.length) return x1;\n      x1 = _;\n      return area;\n    };\n    area.y = function(_) {\n      if (!arguments.length) return y1;\n      y0 = y1 = _;\n      return area;\n    };\n    area.y0 = function(_) {\n      if (!arguments.length) return y0;\n      y0 = _;\n      return area;\n    };\n    area.y1 = function(_) {\n      if (!arguments.length) return y1;\n      y1 = _;\n      return area;\n    };\n    area.defined = function(_) {\n      if (!arguments.length) return defined;\n      defined = _;\n      return area;\n    };\n    area.interpolate = function(_) {\n      if (!arguments.length) return interpolateKey;\n      if (typeof _ === \"function\") interpolateKey = interpolate = _; else interpolateKey = (interpolate = d3_svg_lineInterpolators.get(_) || d3_svg_lineLinear).key;\n      interpolateReverse = interpolate.reverse || interpolate;\n      L = interpolate.closed ? \"M\" : \"L\";\n      return area;\n    };\n    area.tension = function(_) {\n      if (!arguments.length) return tension;\n      tension = _;\n      return area;\n    };\n    return area;\n  }\n  d3_svg_lineStepBefore.reverse = d3_svg_lineStepAfter;\n  d3_svg_lineStepAfter.reverse = d3_svg_lineStepBefore;\n  d3.svg.area = function() {\n    return d3_svg_area(d3_identity);\n  };\n  d3.svg.area.radial = function() {\n    var area = d3_svg_area(d3_svg_lineRadial);\n    area.radius = area.x, delete area.x;\n    area.innerRadius = area.x0, delete area.x0;\n    area.outerRadius = area.x1, delete area.x1;\n    area.angle = area.y, delete area.y;\n    area.startAngle = area.y0, delete area.y0;\n    area.endAngle = area.y1, delete area.y1;\n    return area;\n  };\n  d3.svg.chord = function() {\n    var source = d3_source, target = d3_target, radius = d3_svg_chordRadius, startAngle = d3_svg_arcStartAngle, endAngle = d3_svg_arcEndAngle;\n    function chord(d, i) {\n      var s = subgroup(this, source, d, i), t = subgroup(this, target, d, i);\n      return \"M\" + s.p0 + arc(s.r, s.p1, s.a1 - s.a0) + (equals(s, t) ? curve(s.r, s.p1, s.r, s.p0) : curve(s.r, s.p1, t.r, t.p0) + arc(t.r, t.p1, t.a1 - t.a0) + curve(t.r, t.p1, s.r, s.p0)) + \"Z\";\n    }\n    function subgroup(self, f, d, i) {\n      var subgroup = f.call(self, d, i), r = radius.call(self, subgroup, i), a0 = startAngle.call(self, subgroup, i) - halfπ, a1 = endAngle.call(self, subgroup, i) - halfπ;\n      return {\n        r: r,\n        a0: a0,\n        a1: a1,\n        p0: [ r * Math.cos(a0), r * Math.sin(a0) ],\n        p1: [ r * Math.cos(a1), r * Math.sin(a1) ]\n      };\n    }\n    function equals(a, b) {\n      return a.a0 == b.a0 && a.a1 == b.a1;\n    }\n    function arc(r, p, a) {\n      return \"A\" + r + \",\" + r + \" 0 \" + +(a > π) + \",1 \" + p;\n    }\n    function curve(r0, p0, r1, p1) {\n      return \"Q 0,0 \" + p1;\n    }\n    chord.radius = function(v) {\n      if (!arguments.length) return radius;\n      radius = d3_functor(v);\n      return chord;\n    };\n    chord.source = function(v) {\n      if (!arguments.length) return source;\n      source = d3_functor(v);\n      return chord;\n    };\n    chord.target = function(v) {\n      if (!arguments.length) return target;\n      target = d3_functor(v);\n      return chord;\n    };\n    chord.startAngle = function(v) {\n      if (!arguments.length) return startAngle;\n      startAngle = d3_functor(v);\n      return chord;\n    };\n    chord.endAngle = function(v) {\n      if (!arguments.length) return endAngle;\n      endAngle = d3_functor(v);\n      return chord;\n    };\n    return chord;\n  };\n  function d3_svg_chordRadius(d) {\n    return d.radius;\n  }\n  d3.svg.diagonal = function() {\n    var source = d3_source, target = d3_target, projection = d3_svg_diagonalProjection;\n    function diagonal(d, i) {\n      var p0 = source.call(this, d, i), p3 = target.call(this, d, i), m = (p0.y + p3.y) / 2, p = [ p0, {\n        x: p0.x,\n        y: m\n      }, {\n        x: p3.x,\n        y: m\n      }, p3 ];\n      p = p.map(projection);\n      return \"M\" + p[0] + \"C\" + p[1] + \" \" + p[2] + \" \" + p[3];\n    }\n    diagonal.source = function(x) {\n      if (!arguments.length) return source;\n      source = d3_functor(x);\n      return diagonal;\n    };\n    diagonal.target = function(x) {\n      if (!arguments.length) return target;\n      target = d3_functor(x);\n      return diagonal;\n    };\n    diagonal.projection = function(x) {\n      if (!arguments.length) return projection;\n      projection = x;\n      return diagonal;\n    };\n    return diagonal;\n  };\n  function d3_svg_diagonalProjection(d) {\n    return [ d.x, d.y ];\n  }\n  d3.svg.diagonal.radial = function() {\n    var diagonal = d3.svg.diagonal(), projection = d3_svg_diagonalProjection, projection_ = diagonal.projection;\n    diagonal.projection = function(x) {\n      return arguments.length ? projection_(d3_svg_diagonalRadialProjection(projection = x)) : projection;\n    };\n    return diagonal;\n  };\n  function d3_svg_diagonalRadialProjection(projection) {\n    return function() {\n      var d = projection.apply(this, arguments), r = d[0], a = d[1] - halfπ;\n      return [ r * Math.cos(a), r * Math.sin(a) ];\n    };\n  }\n  d3.svg.symbol = function() {\n    var type = d3_svg_symbolType, size = d3_svg_symbolSize;\n    function symbol(d, i) {\n      return (d3_svg_symbols.get(type.call(this, d, i)) || d3_svg_symbolCircle)(size.call(this, d, i));\n    }\n    symbol.type = function(x) {\n      if (!arguments.length) return type;\n      type = d3_functor(x);\n      return symbol;\n    };\n    symbol.size = function(x) {\n      if (!arguments.length) return size;\n      size = d3_functor(x);\n      return symbol;\n    };\n    return symbol;\n  };\n  function d3_svg_symbolSize() {\n    return 64;\n  }\n  function d3_svg_symbolType() {\n    return \"circle\";\n  }\n  function d3_svg_symbolCircle(size) {\n    var r = Math.sqrt(size / π);\n    return \"M0,\" + r + \"A\" + r + \",\" + r + \" 0 1,1 0,\" + -r + \"A\" + r + \",\" + r + \" 0 1,1 0,\" + r + \"Z\";\n  }\n  var d3_svg_symbols = d3.map({\n    circle: d3_svg_symbolCircle,\n    cross: function(size) {\n      var r = Math.sqrt(size / 5) / 2;\n      return \"M\" + -3 * r + \",\" + -r + \"H\" + -r + \"V\" + -3 * r + \"H\" + r + \"V\" + -r + \"H\" + 3 * r + \"V\" + r + \"H\" + r + \"V\" + 3 * r + \"H\" + -r + \"V\" + r + \"H\" + -3 * r + \"Z\";\n    },\n    diamond: function(size) {\n      var ry = Math.sqrt(size / (2 * d3_svg_symbolTan30)), rx = ry * d3_svg_symbolTan30;\n      return \"M0,\" + -ry + \"L\" + rx + \",0\" + \" 0,\" + ry + \" \" + -rx + \",0\" + \"Z\";\n    },\n    square: function(size) {\n      var r = Math.sqrt(size) / 2;\n      return \"M\" + -r + \",\" + -r + \"L\" + r + \",\" + -r + \" \" + r + \",\" + r + \" \" + -r + \",\" + r + \"Z\";\n    },\n    \"triangle-down\": function(size) {\n      var rx = Math.sqrt(size / d3_svg_symbolSqrt3), ry = rx * d3_svg_symbolSqrt3 / 2;\n      return \"M0,\" + ry + \"L\" + rx + \",\" + -ry + \" \" + -rx + \",\" + -ry + \"Z\";\n    },\n    \"triangle-up\": function(size) {\n      var rx = Math.sqrt(size / d3_svg_symbolSqrt3), ry = rx * d3_svg_symbolSqrt3 / 2;\n      return \"M0,\" + -ry + \"L\" + rx + \",\" + ry + \" \" + -rx + \",\" + ry + \"Z\";\n    }\n  });\n  d3.svg.symbolTypes = d3_svg_symbols.keys();\n  var d3_svg_symbolSqrt3 = Math.sqrt(3), d3_svg_symbolTan30 = Math.tan(30 * d3_radians);\n  d3_selectionPrototype.transition = function(name) {\n    var id = d3_transitionInheritId || ++d3_transitionId, ns = d3_transitionNamespace(name), subgroups = [], subgroup, node, transition = d3_transitionInherit || {\n      time: Date.now(),\n      ease: d3_ease_cubicInOut,\n      delay: 0,\n      duration: 250\n    };\n    for (var j = -1, m = this.length; ++j < m; ) {\n      subgroups.push(subgroup = []);\n      for (var group = this[j], i = -1, n = group.length; ++i < n; ) {\n        if (node = group[i]) d3_transitionNode(node, i, ns, id, transition);\n        subgroup.push(node);\n      }\n    }\n    return d3_transition(subgroups, ns, id);\n  };\n  d3_selectionPrototype.interrupt = function(name) {\n    return this.each(name == null ? d3_selection_interrupt : d3_selection_interruptNS(d3_transitionNamespace(name)));\n  };\n  var d3_selection_interrupt = d3_selection_interruptNS(d3_transitionNamespace());\n  function d3_selection_interruptNS(ns) {\n    return function() {\n      var lock, activeId, active;\n      if ((lock = this[ns]) && (active = lock[activeId = lock.active])) {\n        active.timer.c = null;\n        active.timer.t = NaN;\n        if (--lock.count) delete lock[activeId]; else delete this[ns];\n        lock.active += .5;\n        active.event && active.event.interrupt.call(this, this.__data__, active.index);\n      }\n    };\n  }\n  function d3_transition(groups, ns, id) {\n    d3_subclass(groups, d3_transitionPrototype);\n    groups.namespace = ns;\n    groups.id = id;\n    return groups;\n  }\n  var d3_transitionPrototype = [], d3_transitionId = 0, d3_transitionInheritId, d3_transitionInherit;\n  d3_transitionPrototype.call = d3_selectionPrototype.call;\n  d3_transitionPrototype.empty = d3_selectionPrototype.empty;\n  d3_transitionPrototype.node = d3_selectionPrototype.node;\n  d3_transitionPrototype.size = d3_selectionPrototype.size;\n  d3.transition = function(selection, name) {\n    return selection && selection.transition ? d3_transitionInheritId ? selection.transition(name) : selection : d3.selection().transition(selection);\n  };\n  d3.transition.prototype = d3_transitionPrototype;\n  d3_transitionPrototype.select = function(selector) {\n    var id = this.id, ns = this.namespace, subgroups = [], subgroup, subnode, node;\n    selector = d3_selection_selector(selector);\n    for (var j = -1, m = this.length; ++j < m; ) {\n      subgroups.push(subgroup = []);\n      for (var group = this[j], i = -1, n = group.length; ++i < n; ) {\n        if ((node = group[i]) && (subnode = selector.call(node, node.__data__, i, j))) {\n          if (\"__data__\" in node) subnode.__data__ = node.__data__;\n          d3_transitionNode(subnode, i, ns, id, node[ns][id]);\n          subgroup.push(subnode);\n        } else {\n          subgroup.push(null);\n        }\n      }\n    }\n    return d3_transition(subgroups, ns, id);\n  };\n  d3_transitionPrototype.selectAll = function(selector) {\n    var id = this.id, ns = this.namespace, subgroups = [], subgroup, subnodes, node, subnode, transition;\n    selector = d3_selection_selectorAll(selector);\n    for (var j = -1, m = this.length; ++j < m; ) {\n      for (var group = this[j], i = -1, n = group.length; ++i < n; ) {\n        if (node = group[i]) {\n          transition = node[ns][id];\n          subnodes = selector.call(node, node.__data__, i, j);\n          subgroups.push(subgroup = []);\n          for (var k = -1, o = subnodes.length; ++k < o; ) {\n            if (subnode = subnodes[k]) d3_transitionNode(subnode, k, ns, id, transition);\n            subgroup.push(subnode);\n          }\n        }\n      }\n    }\n    return d3_transition(subgroups, ns, id);\n  };\n  d3_transitionPrototype.filter = function(filter) {\n    var subgroups = [], subgroup, group, node;\n    if (typeof filter !== \"function\") filter = d3_selection_filter(filter);\n    for (var j = 0, m = this.length; j < m; j++) {\n      subgroups.push(subgroup = []);\n      for (var group = this[j], i = 0, n = group.length; i < n; i++) {\n        if ((node = group[i]) && filter.call(node, node.__data__, i, j)) {\n          subgroup.push(node);\n        }\n      }\n    }\n    return d3_transition(subgroups, this.namespace, this.id);\n  };\n  d3_transitionPrototype.tween = function(name, tween) {\n    var id = this.id, ns = this.namespace;\n    if (arguments.length < 2) return this.node()[ns][id].tween.get(name);\n    return d3_selection_each(this, tween == null ? function(node) {\n      node[ns][id].tween.remove(name);\n    } : function(node) {\n      node[ns][id].tween.set(name, tween);\n    });\n  };\n  function d3_transition_tween(groups, name, value, tween) {\n    var id = groups.id, ns = groups.namespace;\n    return d3_selection_each(groups, typeof value === \"function\" ? function(node, i, j) {\n      node[ns][id].tween.set(name, tween(value.call(node, node.__data__, i, j)));\n    } : (value = tween(value), function(node) {\n      node[ns][id].tween.set(name, value);\n    }));\n  }\n  d3_transitionPrototype.attr = function(nameNS, value) {\n    if (arguments.length < 2) {\n      for (value in nameNS) this.attr(value, nameNS[value]);\n      return this;\n    }\n    var interpolate = nameNS == \"transform\" ? d3_interpolateTransform : d3_interpolate, name = d3.ns.qualify(nameNS);\n    function attrNull() {\n      this.removeAttribute(name);\n    }\n    function attrNullNS() {\n      this.removeAttributeNS(name.space, name.local);\n    }\n    function attrTween(b) {\n      return b == null ? attrNull : (b += \"\", function() {\n        var a = this.getAttribute(name), i;\n        return a !== b && (i = interpolate(a, b), function(t) {\n          this.setAttribute(name, i(t));\n        });\n      });\n    }\n    function attrTweenNS(b) {\n      return b == null ? attrNullNS : (b += \"\", function() {\n        var a = this.getAttributeNS(name.space, name.local), i;\n        return a !== b && (i = interpolate(a, b), function(t) {\n          this.setAttributeNS(name.space, name.local, i(t));\n        });\n      });\n    }\n    return d3_transition_tween(this, \"attr.\" + nameNS, value, name.local ? attrTweenNS : attrTween);\n  };\n  d3_transitionPrototype.attrTween = function(nameNS, tween) {\n    var name = d3.ns.qualify(nameNS);\n    function attrTween(d, i) {\n      var f = tween.call(this, d, i, this.getAttribute(name));\n      return f && function(t) {\n        this.setAttribute(name, f(t));\n      };\n    }\n    function attrTweenNS(d, i) {\n      var f = tween.call(this, d, i, this.getAttributeNS(name.space, name.local));\n      return f && function(t) {\n        this.setAttributeNS(name.space, name.local, f(t));\n      };\n    }\n    return this.tween(\"attr.\" + nameNS, name.local ? attrTweenNS : attrTween);\n  };\n  d3_transitionPrototype.style = function(name, value, priority) {\n    var n = arguments.length;\n    if (n < 3) {\n      if (typeof name !== \"string\") {\n        if (n < 2) value = \"\";\n        for (priority in name) this.style(priority, name[priority], value);\n        return this;\n      }\n      priority = \"\";\n    }\n    function styleNull() {\n      this.style.removeProperty(name);\n    }\n    function styleString(b) {\n      return b == null ? styleNull : (b += \"\", function() {\n        var a = d3_window(this).getComputedStyle(this, null).getPropertyValue(name), i;\n        return a !== b && (i = d3_interpolate(a, b), function(t) {\n          this.style.setProperty(name, i(t), priority);\n        });\n      });\n    }\n    return d3_transition_tween(this, \"style.\" + name, value, styleString);\n  };\n  d3_transitionPrototype.styleTween = function(name, tween, priority) {\n    if (arguments.length < 3) priority = \"\";\n    function styleTween(d, i) {\n      var f = tween.call(this, d, i, d3_window(this).getComputedStyle(this, null).getPropertyValue(name));\n      return f && function(t) {\n        this.style.setProperty(name, f(t), priority);\n      };\n    }\n    return this.tween(\"style.\" + name, styleTween);\n  };\n  d3_transitionPrototype.text = function(value) {\n    return d3_transition_tween(this, \"text\", value, d3_transition_text);\n  };\n  function d3_transition_text(b) {\n    if (b == null) b = \"\";\n    return function() {\n      this.textContent = b;\n    };\n  }\n  d3_transitionPrototype.remove = function() {\n    var ns = this.namespace;\n    return this.each(\"end.transition\", function() {\n      var p;\n      if (this[ns].count < 2 && (p = this.parentNode)) p.removeChild(this);\n    });\n  };\n  d3_transitionPrototype.ease = function(value) {\n    var id = this.id, ns = this.namespace;\n    if (arguments.length < 1) return this.node()[ns][id].ease;\n    if (typeof value !== \"function\") value = d3.ease.apply(d3, arguments);\n    return d3_selection_each(this, function(node) {\n      node[ns][id].ease = value;\n    });\n  };\n  d3_transitionPrototype.delay = function(value) {\n    var id = this.id, ns = this.namespace;\n    if (arguments.length < 1) return this.node()[ns][id].delay;\n    return d3_selection_each(this, typeof value === \"function\" ? function(node, i, j) {\n      node[ns][id].delay = +value.call(node, node.__data__, i, j);\n    } : (value = +value, function(node) {\n      node[ns][id].delay = value;\n    }));\n  };\n  d3_transitionPrototype.duration = function(value) {\n    var id = this.id, ns = this.namespace;\n    if (arguments.length < 1) return this.node()[ns][id].duration;\n    return d3_selection_each(this, typeof value === \"function\" ? function(node, i, j) {\n      node[ns][id].duration = Math.max(1, value.call(node, node.__data__, i, j));\n    } : (value = Math.max(1, value), function(node) {\n      node[ns][id].duration = value;\n    }));\n  };\n  d3_transitionPrototype.each = function(type, listener) {\n    var id = this.id, ns = this.namespace;\n    if (arguments.length < 2) {\n      var inherit = d3_transitionInherit, inheritId = d3_transitionInheritId;\n      try {\n        d3_transitionInheritId = id;\n        d3_selection_each(this, function(node, i, j) {\n          d3_transitionInherit = node[ns][id];\n          type.call(node, node.__data__, i, j);\n        });\n      } finally {\n        d3_transitionInherit = inherit;\n        d3_transitionInheritId = inheritId;\n      }\n    } else {\n      d3_selection_each(this, function(node) {\n        var transition = node[ns][id];\n        (transition.event || (transition.event = d3.dispatch(\"start\", \"end\", \"interrupt\"))).on(type, listener);\n      });\n    }\n    return this;\n  };\n  d3_transitionPrototype.transition = function() {\n    var id0 = this.id, id1 = ++d3_transitionId, ns = this.namespace, subgroups = [], subgroup, group, node, transition;\n    for (var j = 0, m = this.length; j < m; j++) {\n      subgroups.push(subgroup = []);\n      for (var group = this[j], i = 0, n = group.length; i < n; i++) {\n        if (node = group[i]) {\n          transition = node[ns][id0];\n          d3_transitionNode(node, i, ns, id1, {\n            time: transition.time,\n            ease: transition.ease,\n            delay: transition.delay + transition.duration,\n            duration: transition.duration\n          });\n        }\n        subgroup.push(node);\n      }\n    }\n    return d3_transition(subgroups, ns, id1);\n  };\n  function d3_transitionNamespace(name) {\n    return name == null ? \"__transition__\" : \"__transition_\" + name + \"__\";\n  }\n  function d3_transitionNode(node, i, ns, id, inherit) {\n    var lock = node[ns] || (node[ns] = {\n      active: 0,\n      count: 0\n    }), transition = lock[id], time, timer, duration, ease, tweens;\n    function schedule(elapsed) {\n      var delay = transition.delay;\n      timer.t = delay + time;\n      if (delay <= elapsed) return start(elapsed - delay);\n      timer.c = start;\n    }\n    function start(elapsed) {\n      var activeId = lock.active, active = lock[activeId];\n      if (active) {\n        active.timer.c = null;\n        active.timer.t = NaN;\n        --lock.count;\n        delete lock[activeId];\n        active.event && active.event.interrupt.call(node, node.__data__, active.index);\n      }\n      for (var cancelId in lock) {\n        if (+cancelId < id) {\n          var cancel = lock[cancelId];\n          cancel.timer.c = null;\n          cancel.timer.t = NaN;\n          --lock.count;\n          delete lock[cancelId];\n        }\n      }\n      timer.c = tick;\n      d3_timer(function() {\n        if (timer.c && tick(elapsed || 1)) {\n          timer.c = null;\n          timer.t = NaN;\n        }\n        return 1;\n      }, 0, time);\n      lock.active = id;\n      transition.event && transition.event.start.call(node, node.__data__, i);\n      tweens = [];\n      transition.tween.forEach(function(key, value) {\n        if (value = value.call(node, node.__data__, i)) {\n          tweens.push(value);\n        }\n      });\n      ease = transition.ease;\n      duration = transition.duration;\n    }\n    function tick(elapsed) {\n      var t = elapsed / duration, e = ease(t), n = tweens.length;\n      while (n > 0) {\n        tweens[--n].call(node, e);\n      }\n      if (t >= 1) {\n        transition.event && transition.event.end.call(node, node.__data__, i);\n        if (--lock.count) delete lock[id]; else delete node[ns];\n        return 1;\n      }\n    }\n    if (!transition) {\n      time = inherit.time;\n      timer = d3_timer(schedule, 0, time);\n      transition = lock[id] = {\n        tween: new d3_Map(),\n        time: time,\n        timer: timer,\n        delay: inherit.delay,\n        duration: inherit.duration,\n        ease: inherit.ease,\n        index: i\n      };\n      inherit = null;\n      ++lock.count;\n    }\n  }\n  d3.svg.axis = function() {\n    var scale = d3.scale.linear(), orient = d3_svg_axisDefaultOrient, innerTickSize = 6, outerTickSize = 6, tickPadding = 3, tickArguments_ = [ 10 ], tickValues = null, tickFormat_;\n    function axis(g) {\n      g.each(function() {\n        var g = d3.select(this);\n        var scale0 = this.__chart__ || scale, scale1 = this.__chart__ = scale.copy();\n        var ticks = tickValues == null ? scale1.ticks ? scale1.ticks.apply(scale1, tickArguments_) : scale1.domain() : tickValues, tickFormat = tickFormat_ == null ? scale1.tickFormat ? scale1.tickFormat.apply(scale1, tickArguments_) : d3_identity : tickFormat_, tick = g.selectAll(\".tick\").data(ticks, scale1), tickEnter = tick.enter().insert(\"g\", \".domain\").attr(\"class\", \"tick\").style(\"opacity\", ε), tickExit = d3.transition(tick.exit()).style(\"opacity\", ε).remove(), tickUpdate = d3.transition(tick.order()).style(\"opacity\", 1), tickSpacing = Math.max(innerTickSize, 0) + tickPadding, tickTransform;\n        var range = d3_scaleRange(scale1), path = g.selectAll(\".domain\").data([ 0 ]), pathUpdate = (path.enter().append(\"path\").attr(\"class\", \"domain\"), \n        d3.transition(path));\n        tickEnter.append(\"line\");\n        tickEnter.append(\"text\");\n        var lineEnter = tickEnter.select(\"line\"), lineUpdate = tickUpdate.select(\"line\"), text = tick.select(\"text\").text(tickFormat), textEnter = tickEnter.select(\"text\"), textUpdate = tickUpdate.select(\"text\"), sign = orient === \"top\" || orient === \"left\" ? -1 : 1, x1, x2, y1, y2;\n        if (orient === \"bottom\" || orient === \"top\") {\n          tickTransform = d3_svg_axisX, x1 = \"x\", y1 = \"y\", x2 = \"x2\", y2 = \"y2\";\n          text.attr(\"dy\", sign < 0 ? \"0em\" : \".71em\").style(\"text-anchor\", \"middle\");\n          pathUpdate.attr(\"d\", \"M\" + range[0] + \",\" + sign * outerTickSize + \"V0H\" + range[1] + \"V\" + sign * outerTickSize);\n        } else {\n          tickTransform = d3_svg_axisY, x1 = \"y\", y1 = \"x\", x2 = \"y2\", y2 = \"x2\";\n          text.attr(\"dy\", \".32em\").style(\"text-anchor\", sign < 0 ? \"end\" : \"start\");\n          pathUpdate.attr(\"d\", \"M\" + sign * outerTickSize + \",\" + range[0] + \"H0V\" + range[1] + \"H\" + sign * outerTickSize);\n        }\n        lineEnter.attr(y2, sign * innerTickSize);\n        textEnter.attr(y1, sign * tickSpacing);\n        lineUpdate.attr(x2, 0).attr(y2, sign * innerTickSize);\n        textUpdate.attr(x1, 0).attr(y1, sign * tickSpacing);\n        if (scale1.rangeBand) {\n          var x = scale1, dx = x.rangeBand() / 2;\n          scale0 = scale1 = function(d) {\n            return x(d) + dx;\n          };\n        } else if (scale0.rangeBand) {\n          scale0 = scale1;\n        } else {\n          tickExit.call(tickTransform, scale1, scale0);\n        }\n        tickEnter.call(tickTransform, scale0, scale1);\n        tickUpdate.call(tickTransform, scale1, scale1);\n      });\n    }\n    axis.scale = function(x) {\n      if (!arguments.length) return scale;\n      scale = x;\n      return axis;\n    };\n    axis.orient = function(x) {\n      if (!arguments.length) return orient;\n      orient = x in d3_svg_axisOrients ? x + \"\" : d3_svg_axisDefaultOrient;\n      return axis;\n    };\n    axis.ticks = function() {\n      if (!arguments.length) return tickArguments_;\n      tickArguments_ = d3_array(arguments);\n      return axis;\n    };\n    axis.tickValues = function(x) {\n      if (!arguments.length) return tickValues;\n      tickValues = x;\n      return axis;\n    };\n    axis.tickFormat = function(x) {\n      if (!arguments.length) return tickFormat_;\n      tickFormat_ = x;\n      return axis;\n    };\n    axis.tickSize = function(x) {\n      var n = arguments.length;\n      if (!n) return innerTickSize;\n      innerTickSize = +x;\n      outerTickSize = +arguments[n - 1];\n      return axis;\n    };\n    axis.innerTickSize = function(x) {\n      if (!arguments.length) return innerTickSize;\n      innerTickSize = +x;\n      return axis;\n    };\n    axis.outerTickSize = function(x) {\n      if (!arguments.length) return outerTickSize;\n      outerTickSize = +x;\n      return axis;\n    };\n    axis.tickPadding = function(x) {\n      if (!arguments.length) return tickPadding;\n      tickPadding = +x;\n      return axis;\n    };\n    axis.tickSubdivide = function() {\n      return arguments.length && axis;\n    };\n    return axis;\n  };\n  var d3_svg_axisDefaultOrient = \"bottom\", d3_svg_axisOrients = {\n    top: 1,\n    right: 1,\n    bottom: 1,\n    left: 1\n  };\n  function d3_svg_axisX(selection, x0, x1) {\n    selection.attr(\"transform\", function(d) {\n      var v0 = x0(d);\n      return \"translate(\" + (isFinite(v0) ? v0 : x1(d)) + \",0)\";\n    });\n  }\n  function d3_svg_axisY(selection, y0, y1) {\n    selection.attr(\"transform\", function(d) {\n      var v0 = y0(d);\n      return \"translate(0,\" + (isFinite(v0) ? v0 : y1(d)) + \")\";\n    });\n  }\n  d3.svg.brush = function() {\n    var event = d3_eventDispatch(brush, \"brushstart\", \"brush\", \"brushend\"), x = null, y = null, xExtent = [ 0, 0 ], yExtent = [ 0, 0 ], xExtentDomain, yExtentDomain, xClamp = true, yClamp = true, resizes = d3_svg_brushResizes[0];\n    function brush(g) {\n      g.each(function() {\n        var g = d3.select(this).style(\"pointer-events\", \"all\").style(\"-webkit-tap-highlight-color\", \"rgba(0,0,0,0)\").on(\"mousedown.brush\", brushstart).on(\"touchstart.brush\", brushstart);\n        var background = g.selectAll(\".background\").data([ 0 ]);\n        background.enter().append(\"rect\").attr(\"class\", \"background\").style(\"visibility\", \"hidden\").style(\"cursor\", \"crosshair\");\n        g.selectAll(\".extent\").data([ 0 ]).enter().append(\"rect\").attr(\"class\", \"extent\").style(\"cursor\", \"move\");\n        var resize = g.selectAll(\".resize\").data(resizes, d3_identity);\n        resize.exit().remove();\n        resize.enter().append(\"g\").attr(\"class\", function(d) {\n          return \"resize \" + d;\n        }).style(\"cursor\", function(d) {\n          return d3_svg_brushCursor[d];\n        }).append(\"rect\").attr(\"x\", function(d) {\n          return /[ew]$/.test(d) ? -3 : null;\n        }).attr(\"y\", function(d) {\n          return /^[ns]/.test(d) ? -3 : null;\n        }).attr(\"width\", 6).attr(\"height\", 6).style(\"visibility\", \"hidden\");\n        resize.style(\"display\", brush.empty() ? \"none\" : null);\n        var gUpdate = d3.transition(g), backgroundUpdate = d3.transition(background), range;\n        if (x) {\n          range = d3_scaleRange(x);\n          backgroundUpdate.attr(\"x\", range[0]).attr(\"width\", range[1] - range[0]);\n          redrawX(gUpdate);\n        }\n        if (y) {\n          range = d3_scaleRange(y);\n          backgroundUpdate.attr(\"y\", range[0]).attr(\"height\", range[1] - range[0]);\n          redrawY(gUpdate);\n        }\n        redraw(gUpdate);\n      });\n    }\n    brush.event = function(g) {\n      g.each(function() {\n        var event_ = event.of(this, arguments), extent1 = {\n          x: xExtent,\n          y: yExtent,\n          i: xExtentDomain,\n          j: yExtentDomain\n        }, extent0 = this.__chart__ || extent1;\n        this.__chart__ = extent1;\n        if (d3_transitionInheritId) {\n          d3.select(this).transition().each(\"start.brush\", function() {\n            xExtentDomain = extent0.i;\n            yExtentDomain = extent0.j;\n            xExtent = extent0.x;\n            yExtent = extent0.y;\n            event_({\n              type: \"brushstart\"\n            });\n          }).tween(\"brush:brush\", function() {\n            var xi = d3_interpolateArray(xExtent, extent1.x), yi = d3_interpolateArray(yExtent, extent1.y);\n            xExtentDomain = yExtentDomain = null;\n            return function(t) {\n              xExtent = extent1.x = xi(t);\n              yExtent = extent1.y = yi(t);\n              event_({\n                type: \"brush\",\n                mode: \"resize\"\n              });\n            };\n          }).each(\"end.brush\", function() {\n            xExtentDomain = extent1.i;\n            yExtentDomain = extent1.j;\n            event_({\n              type: \"brush\",\n              mode: \"resize\"\n            });\n            event_({\n              type: \"brushend\"\n            });\n          });\n        } else {\n          event_({\n            type: \"brushstart\"\n          });\n          event_({\n            type: \"brush\",\n            mode: \"resize\"\n          });\n          event_({\n            type: \"brushend\"\n          });\n        }\n      });\n    };\n    function redraw(g) {\n      g.selectAll(\".resize\").attr(\"transform\", function(d) {\n        return \"translate(\" + xExtent[+/e$/.test(d)] + \",\" + yExtent[+/^s/.test(d)] + \")\";\n      });\n    }\n    function redrawX(g) {\n      g.select(\".extent\").attr(\"x\", xExtent[0]);\n      g.selectAll(\".extent,.n>rect,.s>rect\").attr(\"width\", xExtent[1] - xExtent[0]);\n    }\n    function redrawY(g) {\n      g.select(\".extent\").attr(\"y\", yExtent[0]);\n      g.selectAll(\".extent,.e>rect,.w>rect\").attr(\"height\", yExtent[1] - yExtent[0]);\n    }\n    function brushstart() {\n      var target = this, eventTarget = d3.select(d3.event.target), event_ = event.of(target, arguments), g = d3.select(target), resizing = eventTarget.datum(), resizingX = !/^(n|s)$/.test(resizing) && x, resizingY = !/^(e|w)$/.test(resizing) && y, dragging = eventTarget.classed(\"extent\"), dragRestore = d3_event_dragSuppress(target), center, origin = d3.mouse(target), offset;\n      var w = d3.select(d3_window(target)).on(\"keydown.brush\", keydown).on(\"keyup.brush\", keyup);\n      if (d3.event.changedTouches) {\n        w.on(\"touchmove.brush\", brushmove).on(\"touchend.brush\", brushend);\n      } else {\n        w.on(\"mousemove.brush\", brushmove).on(\"mouseup.brush\", brushend);\n      }\n      g.interrupt().selectAll(\"*\").interrupt();\n      if (dragging) {\n        origin[0] = xExtent[0] - origin[0];\n        origin[1] = yExtent[0] - origin[1];\n      } else if (resizing) {\n        var ex = +/w$/.test(resizing), ey = +/^n/.test(resizing);\n        offset = [ xExtent[1 - ex] - origin[0], yExtent[1 - ey] - origin[1] ];\n        origin[0] = xExtent[ex];\n        origin[1] = yExtent[ey];\n      } else if (d3.event.altKey) center = origin.slice();\n      g.style(\"pointer-events\", \"none\").selectAll(\".resize\").style(\"display\", null);\n      d3.select(\"body\").style(\"cursor\", eventTarget.style(\"cursor\"));\n      event_({\n        type: \"brushstart\"\n      });\n      brushmove();\n      function keydown() {\n        if (d3.event.keyCode == 32) {\n          if (!dragging) {\n            center = null;\n            origin[0] -= xExtent[1];\n            origin[1] -= yExtent[1];\n            dragging = 2;\n          }\n          d3_eventPreventDefault();\n        }\n      }\n      function keyup() {\n        if (d3.event.keyCode == 32 && dragging == 2) {\n          origin[0] += xExtent[1];\n          origin[1] += yExtent[1];\n          dragging = 0;\n          d3_eventPreventDefault();\n        }\n      }\n      function brushmove() {\n        var point = d3.mouse(target), moved = false;\n        if (offset) {\n          point[0] += offset[0];\n          point[1] += offset[1];\n        }\n        if (!dragging) {\n          if (d3.event.altKey) {\n            if (!center) center = [ (xExtent[0] + xExtent[1]) / 2, (yExtent[0] + yExtent[1]) / 2 ];\n            origin[0] = xExtent[+(point[0] < center[0])];\n            origin[1] = yExtent[+(point[1] < center[1])];\n          } else center = null;\n        }\n        if (resizingX && move1(point, x, 0)) {\n          redrawX(g);\n          moved = true;\n        }\n        if (resizingY && move1(point, y, 1)) {\n          redrawY(g);\n          moved = true;\n        }\n        if (moved) {\n          redraw(g);\n          event_({\n            type: \"brush\",\n            mode: dragging ? \"move\" : \"resize\"\n          });\n        }\n      }\n      function move1(point, scale, i) {\n        var range = d3_scaleRange(scale), r0 = range[0], r1 = range[1], position = origin[i], extent = i ? yExtent : xExtent, size = extent[1] - extent[0], min, max;\n        if (dragging) {\n          r0 -= position;\n          r1 -= size + position;\n        }\n        min = (i ? yClamp : xClamp) ? Math.max(r0, Math.min(r1, point[i])) : point[i];\n        if (dragging) {\n          max = (min += position) + size;\n        } else {\n          if (center) position = Math.max(r0, Math.min(r1, 2 * center[i] - min));\n          if (position < min) {\n            max = min;\n            min = position;\n          } else {\n            max = position;\n          }\n        }\n        if (extent[0] != min || extent[1] != max) {\n          if (i) yExtentDomain = null; else xExtentDomain = null;\n          extent[0] = min;\n          extent[1] = max;\n          return true;\n        }\n      }\n      function brushend() {\n        brushmove();\n        g.style(\"pointer-events\", \"all\").selectAll(\".resize\").style(\"display\", brush.empty() ? \"none\" : null);\n        d3.select(\"body\").style(\"cursor\", null);\n        w.on(\"mousemove.brush\", null).on(\"mouseup.brush\", null).on(\"touchmove.brush\", null).on(\"touchend.brush\", null).on(\"keydown.brush\", null).on(\"keyup.brush\", null);\n        dragRestore();\n        event_({\n          type: \"brushend\"\n        });\n      }\n    }\n    brush.x = function(z) {\n      if (!arguments.length) return x;\n      x = z;\n      resizes = d3_svg_brushResizes[!x << 1 | !y];\n      return brush;\n    };\n    brush.y = function(z) {\n      if (!arguments.length) return y;\n      y = z;\n      resizes = d3_svg_brushResizes[!x << 1 | !y];\n      return brush;\n    };\n    brush.clamp = function(z) {\n      if (!arguments.length) return x && y ? [ xClamp, yClamp ] : x ? xClamp : y ? yClamp : null;\n      if (x && y) xClamp = !!z[0], yClamp = !!z[1]; else if (x) xClamp = !!z; else if (y) yClamp = !!z;\n      return brush;\n    };\n    brush.extent = function(z) {\n      var x0, x1, y0, y1, t;\n      if (!arguments.length) {\n        if (x) {\n          if (xExtentDomain) {\n            x0 = xExtentDomain[0], x1 = xExtentDomain[1];\n          } else {\n            x0 = xExtent[0], x1 = xExtent[1];\n            if (x.invert) x0 = x.invert(x0), x1 = x.invert(x1);\n            if (x1 < x0) t = x0, x0 = x1, x1 = t;\n          }\n        }\n        if (y) {\n          if (yExtentDomain) {\n            y0 = yExtentDomain[0], y1 = yExtentDomain[1];\n          } else {\n            y0 = yExtent[0], y1 = yExtent[1];\n            if (y.invert) y0 = y.invert(y0), y1 = y.invert(y1);\n            if (y1 < y0) t = y0, y0 = y1, y1 = t;\n          }\n        }\n        return x && y ? [ [ x0, y0 ], [ x1, y1 ] ] : x ? [ x0, x1 ] : y && [ y0, y1 ];\n      }\n      if (x) {\n        x0 = z[0], x1 = z[1];\n        if (y) x0 = x0[0], x1 = x1[0];\n        xExtentDomain = [ x0, x1 ];\n        if (x.invert) x0 = x(x0), x1 = x(x1);\n        if (x1 < x0) t = x0, x0 = x1, x1 = t;\n        if (x0 != xExtent[0] || x1 != xExtent[1]) xExtent = [ x0, x1 ];\n      }\n      if (y) {\n        y0 = z[0], y1 = z[1];\n        if (x) y0 = y0[1], y1 = y1[1];\n        yExtentDomain = [ y0, y1 ];\n        if (y.invert) y0 = y(y0), y1 = y(y1);\n        if (y1 < y0) t = y0, y0 = y1, y1 = t;\n        if (y0 != yExtent[0] || y1 != yExtent[1]) yExtent = [ y0, y1 ];\n      }\n      return brush;\n    };\n    brush.clear = function() {\n      if (!brush.empty()) {\n        xExtent = [ 0, 0 ], yExtent = [ 0, 0 ];\n        xExtentDomain = yExtentDomain = null;\n      }\n      return brush;\n    };\n    brush.empty = function() {\n      return !!x && xExtent[0] == xExtent[1] || !!y && yExtent[0] == yExtent[1];\n    };\n    return d3.rebind(brush, event, \"on\");\n  };\n  var d3_svg_brushCursor = {\n    n: \"ns-resize\",\n    e: \"ew-resize\",\n    s: \"ns-resize\",\n    w: \"ew-resize\",\n    nw: \"nwse-resize\",\n    ne: \"nesw-resize\",\n    se: \"nwse-resize\",\n    sw: \"nesw-resize\"\n  };\n  var d3_svg_brushResizes = [ [ \"n\", \"e\", \"s\", \"w\", \"nw\", \"ne\", \"se\", \"sw\" ], [ \"e\", \"w\" ], [ \"n\", \"s\" ], [] ];\n  var d3_time_format = d3_time.format = d3_locale_enUS.timeFormat;\n  var d3_time_formatUtc = d3_time_format.utc;\n  var d3_time_formatIso = d3_time_formatUtc(\"%Y-%m-%dT%H:%M:%S.%LZ\");\n  d3_time_format.iso = Date.prototype.toISOString && +new Date(\"2000-01-01T00:00:00.000Z\") ? d3_time_formatIsoNative : d3_time_formatIso;\n  function d3_time_formatIsoNative(date) {\n    return date.toISOString();\n  }\n  d3_time_formatIsoNative.parse = function(string) {\n    var date = new Date(string);\n    return isNaN(date) ? null : date;\n  };\n  d3_time_formatIsoNative.toString = d3_time_formatIso.toString;\n  d3_time.second = d3_time_interval(function(date) {\n    return new d3_date(Math.floor(date / 1e3) * 1e3);\n  }, function(date, offset) {\n    date.setTime(date.getTime() + Math.floor(offset) * 1e3);\n  }, function(date) {\n    return date.getSeconds();\n  });\n  d3_time.seconds = d3_time.second.range;\n  d3_time.seconds.utc = d3_time.second.utc.range;\n  d3_time.minute = d3_time_interval(function(date) {\n    return new d3_date(Math.floor(date / 6e4) * 6e4);\n  }, function(date, offset) {\n    date.setTime(date.getTime() + Math.floor(offset) * 6e4);\n  }, function(date) {\n    return date.getMinutes();\n  });\n  d3_time.minutes = d3_time.minute.range;\n  d3_time.minutes.utc = d3_time.minute.utc.range;\n  d3_time.hour = d3_time_interval(function(date) {\n    var timezone = date.getTimezoneOffset() / 60;\n    return new d3_date((Math.floor(date / 36e5 - timezone) + timezone) * 36e5);\n  }, function(date, offset) {\n    date.setTime(date.getTime() + Math.floor(offset) * 36e5);\n  }, function(date) {\n    return date.getHours();\n  });\n  d3_time.hours = d3_time.hour.range;\n  d3_time.hours.utc = d3_time.hour.utc.range;\n  d3_time.month = d3_time_interval(function(date) {\n    date = d3_time.day(date);\n    date.setDate(1);\n    return date;\n  }, function(date, offset) {\n    date.setMonth(date.getMonth() + offset);\n  }, function(date) {\n    return date.getMonth();\n  });\n  d3_time.months = d3_time.month.range;\n  d3_time.months.utc = d3_time.month.utc.range;\n  function d3_time_scale(linear, methods, format) {\n    function scale(x) {\n      return linear(x);\n    }\n    scale.invert = function(x) {\n      return d3_time_scaleDate(linear.invert(x));\n    };\n    scale.domain = function(x) {\n      if (!arguments.length) return linear.domain().map(d3_time_scaleDate);\n      linear.domain(x);\n      return scale;\n    };\n    function tickMethod(extent, count) {\n      var span = extent[1] - extent[0], target = span / count, i = d3.bisect(d3_time_scaleSteps, target);\n      return i == d3_time_scaleSteps.length ? [ methods.year, d3_scale_linearTickRange(extent.map(function(d) {\n        return d / 31536e6;\n      }), count)[2] ] : !i ? [ d3_time_scaleMilliseconds, d3_scale_linearTickRange(extent, count)[2] ] : methods[target / d3_time_scaleSteps[i - 1] < d3_time_scaleSteps[i] / target ? i - 1 : i];\n    }\n    scale.nice = function(interval, skip) {\n      var domain = scale.domain(), extent = d3_scaleExtent(domain), method = interval == null ? tickMethod(extent, 10) : typeof interval === \"number\" && tickMethod(extent, interval);\n      if (method) interval = method[0], skip = method[1];\n      function skipped(date) {\n        return !isNaN(date) && !interval.range(date, d3_time_scaleDate(+date + 1), skip).length;\n      }\n      return scale.domain(d3_scale_nice(domain, skip > 1 ? {\n        floor: function(date) {\n          while (skipped(date = interval.floor(date))) date = d3_time_scaleDate(date - 1);\n          return date;\n        },\n        ceil: function(date) {\n          while (skipped(date = interval.ceil(date))) date = d3_time_scaleDate(+date + 1);\n          return date;\n        }\n      } : interval));\n    };\n    scale.ticks = function(interval, skip) {\n      var extent = d3_scaleExtent(scale.domain()), method = interval == null ? tickMethod(extent, 10) : typeof interval === \"number\" ? tickMethod(extent, interval) : !interval.range && [ {\n        range: interval\n      }, skip ];\n      if (method) interval = method[0], skip = method[1];\n      return interval.range(extent[0], d3_time_scaleDate(+extent[1] + 1), skip < 1 ? 1 : skip);\n    };\n    scale.tickFormat = function() {\n      return format;\n    };\n    scale.copy = function() {\n      return d3_time_scale(linear.copy(), methods, format);\n    };\n    return d3_scale_linearRebind(scale, linear);\n  }\n  function d3_time_scaleDate(t) {\n    return new Date(t);\n  }\n  var d3_time_scaleSteps = [ 1e3, 5e3, 15e3, 3e4, 6e4, 3e5, 9e5, 18e5, 36e5, 108e5, 216e5, 432e5, 864e5, 1728e5, 6048e5, 2592e6, 7776e6, 31536e6 ];\n  var d3_time_scaleLocalMethods = [ [ d3_time.second, 1 ], [ d3_time.second, 5 ], [ d3_time.second, 15 ], [ d3_time.second, 30 ], [ d3_time.minute, 1 ], [ d3_time.minute, 5 ], [ d3_time.minute, 15 ], [ d3_time.minute, 30 ], [ d3_time.hour, 1 ], [ d3_time.hour, 3 ], [ d3_time.hour, 6 ], [ d3_time.hour, 12 ], [ d3_time.day, 1 ], [ d3_time.day, 2 ], [ d3_time.week, 1 ], [ d3_time.month, 1 ], [ d3_time.month, 3 ], [ d3_time.year, 1 ] ];\n  var d3_time_scaleLocalFormat = d3_time_format.multi([ [ \".%L\", function(d) {\n    return d.getMilliseconds();\n  } ], [ \":%S\", function(d) {\n    return d.getSeconds();\n  } ], [ \"%I:%M\", function(d) {\n    return d.getMinutes();\n  } ], [ \"%I %p\", function(d) {\n    return d.getHours();\n  } ], [ \"%a %d\", function(d) {\n    return d.getDay() && d.getDate() != 1;\n  } ], [ \"%b %d\", function(d) {\n    return d.getDate() != 1;\n  } ], [ \"%B\", function(d) {\n    return d.getMonth();\n  } ], [ \"%Y\", d3_true ] ]);\n  var d3_time_scaleMilliseconds = {\n    range: function(start, stop, step) {\n      return d3.range(Math.ceil(start / step) * step, +stop, step).map(d3_time_scaleDate);\n    },\n    floor: d3_identity,\n    ceil: d3_identity\n  };\n  d3_time_scaleLocalMethods.year = d3_time.year;\n  d3_time.scale = function() {\n    return d3_time_scale(d3.scale.linear(), d3_time_scaleLocalMethods, d3_time_scaleLocalFormat);\n  };\n  var d3_time_scaleUtcMethods = d3_time_scaleLocalMethods.map(function(m) {\n    return [ m[0].utc, m[1] ];\n  });\n  var d3_time_scaleUtcFormat = d3_time_formatUtc.multi([ [ \".%L\", function(d) {\n    return d.getUTCMilliseconds();\n  } ], [ \":%S\", function(d) {\n    return d.getUTCSeconds();\n  } ], [ \"%I:%M\", function(d) {\n    return d.getUTCMinutes();\n  } ], [ \"%I %p\", function(d) {\n    return d.getUTCHours();\n  } ], [ \"%a %d\", function(d) {\n    return d.getUTCDay() && d.getUTCDate() != 1;\n  } ], [ \"%b %d\", function(d) {\n    return d.getUTCDate() != 1;\n  } ], [ \"%B\", function(d) {\n    return d.getUTCMonth();\n  } ], [ \"%Y\", d3_true ] ]);\n  d3_time_scaleUtcMethods.year = d3_time.year.utc;\n  d3_time.scale.utc = function() {\n    return d3_time_scale(d3.scale.linear(), d3_time_scaleUtcMethods, d3_time_scaleUtcFormat);\n  };\n  d3.text = d3_xhrType(function(request) {\n    return request.responseText;\n  });\n  d3.json = function(url, callback) {\n    return d3_xhr(url, \"application/json\", d3_json, callback);\n  };\n  function d3_json(request) {\n    return JSON.parse(request.responseText);\n  }\n  d3.html = function(url, callback) {\n    return d3_xhr(url, \"text/html\", d3_html, callback);\n  };\n  function d3_html(request) {\n    var range = d3_document.createRange();\n    range.selectNode(d3_document.body);\n    return range.createContextualFragment(request.responseText);\n  }\n  d3.xml = d3_xhrType(function(request) {\n    return request.responseXML;\n  });\n  if (typeof define === \"function\" && define.amd) this.d3 = d3, define(d3); else if (typeof module === \"object\" && module.exports) module.exports = d3; else this.d3 = d3;\n}();\n},{}],149:[function(_dereq_,module,exports){\nmodule.exports = function () {\n    for (var i = 0; i < arguments.length; i++) {\n        if (arguments[i] !== undefined) return arguments[i];\n    }\n};\n\n},{}],150:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar ch = _dereq_(\"incremental-convex-hull\")\nvar uniq = _dereq_(\"uniq\")\n\nmodule.exports = triangulate\n\nfunction LiftedPoint(p, i) {\n  this.point = p\n  this.index = i\n}\n\nfunction compareLifted(a, b) {\n  var ap = a.point\n  var bp = b.point\n  var d = ap.length\n  for(var i=0; i<d; ++i) {\n    var s = bp[i] - ap[i]\n    if(s) {\n      return s\n    }\n  }\n  return 0\n}\n\nfunction triangulate1D(n, points, includePointAtInfinity) {\n  if(n === 1) {\n    if(includePointAtInfinity) {\n      return [ [-1, 0] ]\n    } else {\n      return []\n    }\n  }\n  var lifted = points.map(function(p, i) {\n    return [ p[0], i ]\n  })\n  lifted.sort(function(a,b) {\n    return a[0] - b[0]\n  })\n  var cells = new Array(n - 1)\n  for(var i=1; i<n; ++i) {\n    var a = lifted[i-1]\n    var b = lifted[i]\n    cells[i-1] = [ a[1], b[1] ]\n  }\n  if(includePointAtInfinity) {\n    cells.push(\n      [ -1, cells[0][1], ],\n      [ cells[n-1][1], -1 ])\n  }\n  return cells\n}\n\nfunction triangulate(points, includePointAtInfinity) {\n  var n = points.length\n  if(n === 0) {\n    return []\n  }\n  \n  var d = points[0].length\n  if(d < 1) {\n    return []\n  }\n\n  //Special case:  For 1D we can just sort the points\n  if(d === 1) {\n    return triangulate1D(n, points, includePointAtInfinity)\n  }\n  \n  //Lift points, sort\n  var lifted = new Array(n)\n  var upper = 1.0\n  for(var i=0; i<n; ++i) {\n    var p = points[i]\n    var x = new Array(d+1)\n    var l = 0.0\n    for(var j=0; j<d; ++j) {\n      var v = p[j]\n      x[j] = v\n      l += v * v\n    }\n    x[d] = l\n    lifted[i] = new LiftedPoint(x, i)\n    upper = Math.max(l, upper)\n  }\n  uniq(lifted, compareLifted)\n  \n  //Double points\n  n = lifted.length\n\n  //Create new list of points\n  var dpoints = new Array(n + d + 1)\n  var dindex = new Array(n + d + 1)\n\n  //Add steiner points at top\n  var u = (d+1) * (d+1) * upper\n  var y = new Array(d+1)\n  for(var i=0; i<=d; ++i) {\n    y[i] = 0.0\n  }\n  y[d] = u\n\n  dpoints[0] = y.slice()\n  dindex[0] = -1\n\n  for(var i=0; i<=d; ++i) {\n    var x = y.slice()\n    x[i] = 1\n    dpoints[i+1] = x\n    dindex[i+1] = -1\n  }\n\n  //Copy rest of the points over\n  for(var i=0; i<n; ++i) {\n    var h = lifted[i]\n    dpoints[i + d + 1] = h.point\n    dindex[i + d + 1] =  h.index\n  }\n\n  //Construct convex hull\n  var hull = ch(dpoints, false)\n  if(includePointAtInfinity) {\n    hull = hull.filter(function(cell) {\n      var count = 0\n      for(var j=0; j<=d; ++j) {\n        var v = dindex[cell[j]]\n        if(v < 0) {\n          if(++count >= 2) {\n            return false\n          }\n        }\n        cell[j] = v\n      }\n      return true\n    })\n  } else {\n    hull = hull.filter(function(cell) {\n      for(var i=0; i<=d; ++i) {\n        var v = dindex[cell[i]]\n        if(v < 0) {\n          return false\n        }\n        cell[i] = v\n      }\n      return true\n    })\n  }\n\n  if(d & 1) {\n    for(var i=0; i<hull.length; ++i) {\n      var h = hull[i]\n      var x = h[0]\n      h[0] = h[1]\n      h[1] = x\n    }\n  }\n\n  return hull\n}\n},{\"incremental-convex-hull\":396,\"uniq\":524}],151:[function(_dereq_,module,exports){\n'use strict'\r\n\r\n\r\nmodule.exports = kerning\r\n\r\n\r\nvar canvas = kerning.canvas = document.createElement('canvas')\r\nvar ctx = canvas.getContext('2d')\r\nvar asciiPairs = createPairs([32, 126])\r\n\r\nkerning.createPairs = createPairs\r\nkerning.ascii = asciiPairs\r\n\r\n\r\nfunction kerning (family, o) {\r\n\tif (Array.isArray(family)) family = family.join(', ')\r\n\r\n\tvar table = {}, pairs, fs = 16, threshold = .05\r\n\r\n\tif (o) {\r\n\t\tif (o.length === 2 && typeof o[0] === 'number') {\r\n\t\t\tpairs = createPairs(o)\r\n\t\t}\r\n\t\telse if (Array.isArray(o)) {\r\n\t\t\tpairs = o\r\n\t\t}\r\n\t\telse {\r\n\t\t\tif (o.o) pairs = createPairs(o.o)\r\n\t\t\telse if (o.pairs) pairs = o.pairs\r\n\r\n\t\t\tif (o.fontSize) fs = o.fontSize\r\n\t\t\tif (o.threshold != null) threshold = o.threshold\r\n\t\t}\r\n\t}\r\n\r\n\tif (!pairs) pairs = asciiPairs\r\n\r\n\tctx.font = fs + 'px ' + family\r\n\r\n\tfor (var i = 0; i < pairs.length; i++) {\r\n\t\tvar pair = pairs[i]\r\n\t\tvar width = ctx.measureText(pair[0]).width + ctx.measureText(pair[1]).width\r\n\t\tvar kerningWidth = ctx.measureText(pair).width\r\n\t\tif (Math.abs(width - kerningWidth) > fs * threshold) {\r\n\t\t\tvar emWidth = (kerningWidth - width) / fs\r\n\t\t\ttable[pair] = emWidth * 1000\r\n\t\t}\r\n\t}\r\n\r\n\treturn table\r\n}\r\n\r\n\r\nfunction createPairs (range) {\r\n\tvar pairs = []\r\n\r\n    for (var i = range[0]; i <= range[1]; i++) {\r\n\t\tvar leftChar = String.fromCharCode(i)\r\n\t\tfor (var j = range[0]; j < range[1]; j++) {\r\n\t\t\tvar rightChar = String.fromCharCode(j)\r\n\t\t\tvar pair = leftChar + rightChar\r\n\r\n\t\t\tpairs.push(pair)\r\n\t\t}\r\n\t}\r\n\r\n\treturn pairs\r\n}\r\n\n},{}],152:[function(_dereq_,module,exports){\n(function (Buffer){\nvar hasTypedArrays = false\nif(typeof Float64Array !== \"undefined\") {\n  var DOUBLE_VIEW = new Float64Array(1)\n    , UINT_VIEW   = new Uint32Array(DOUBLE_VIEW.buffer)\n  DOUBLE_VIEW[0] = 1.0\n  hasTypedArrays = true\n  if(UINT_VIEW[1] === 0x3ff00000) {\n    //Use little endian\n    module.exports = function doubleBitsLE(n) {\n      DOUBLE_VIEW[0] = n\n      return [ UINT_VIEW[0], UINT_VIEW[1] ]\n    }\n    function toDoubleLE(lo, hi) {\n      UINT_VIEW[0] = lo\n      UINT_VIEW[1] = hi\n      return DOUBLE_VIEW[0]\n    }\n    module.exports.pack = toDoubleLE\n    function lowUintLE(n) {\n      DOUBLE_VIEW[0] = n\n      return UINT_VIEW[0]\n    }\n    module.exports.lo = lowUintLE\n    function highUintLE(n) {\n      DOUBLE_VIEW[0] = n\n      return UINT_VIEW[1]\n    }\n    module.exports.hi = highUintLE\n  } else if(UINT_VIEW[0] === 0x3ff00000) {\n    //Use big endian\n    module.exports = function doubleBitsBE(n) {\n      DOUBLE_VIEW[0] = n\n      return [ UINT_VIEW[1], UINT_VIEW[0] ]\n    }\n    function toDoubleBE(lo, hi) {\n      UINT_VIEW[1] = lo\n      UINT_VIEW[0] = hi\n      return DOUBLE_VIEW[0]\n    }\n    module.exports.pack = toDoubleBE\n    function lowUintBE(n) {\n      DOUBLE_VIEW[0] = n\n      return UINT_VIEW[1]\n    }\n    module.exports.lo = lowUintBE\n    function highUintBE(n) {\n      DOUBLE_VIEW[0] = n\n      return UINT_VIEW[0]\n    }\n    module.exports.hi = highUintBE\n  } else {\n    hasTypedArrays = false\n  }\n}\nif(!hasTypedArrays) {\n  var buffer = new Buffer(8)\n  module.exports = function doubleBits(n) {\n    buffer.writeDoubleLE(n, 0, true)\n    return [ buffer.readUInt32LE(0, true), buffer.readUInt32LE(4, true) ]\n  }\n  function toDouble(lo, hi) {\n    buffer.writeUInt32LE(lo, 0, true)\n    buffer.writeUInt32LE(hi, 4, true)\n    return buffer.readDoubleLE(0, true)\n  }\n  module.exports.pack = toDouble  \n  function lowUint(n) {\n    buffer.writeDoubleLE(n, 0, true)\n    return buffer.readUInt32LE(0, true)\n  }\n  module.exports.lo = lowUint\n  function highUint(n) {\n    buffer.writeDoubleLE(n, 0, true)\n    return buffer.readUInt32LE(4, true)\n  }\n  module.exports.hi = highUint\n}\n\nmodule.exports.sign = function(n) {\n  return module.exports.hi(n) >>> 31\n}\n\nmodule.exports.exponent = function(n) {\n  var b = module.exports.hi(n)\n  return ((b<<1) >>> 21) - 1023\n}\n\nmodule.exports.fraction = function(n) {\n  var lo = module.exports.lo(n)\n  var hi = module.exports.hi(n)\n  var b = hi & ((1<<20) - 1)\n  if(hi & 0x7ff00000) {\n    b += (1<<20)\n  }\n  return [lo, b]\n}\n\nmodule.exports.denormalized = function(n) {\n  var hi = module.exports.hi(n)\n  return !(hi & 0x7ff00000)\n}\n}).call(this,_dereq_(\"buffer\").Buffer)\n},{\"buffer\":93}],153:[function(_dereq_,module,exports){\nvar abs = _dereq_('abs-svg-path')\nvar normalize = _dereq_('normalize-svg-path')\n\nvar methods = {\n  'M': 'moveTo',\n  'C': 'bezierCurveTo'\n}\n\nmodule.exports = function(context, segments) {\n  context.beginPath()\n\n  // Make path easy to reproduce.\n  normalize(abs(segments)).forEach(\n    function(segment) {\n      var command = segment[0]\n      var args = segment.slice(1)\n\n      // Convert the path command to a context method.\n      context[methods[command]].apply(context, args)\n    }\n  )\n\n  context.closePath()\n}\n\n},{\"abs-svg-path\":48,\"normalize-svg-path\":435}],154:[function(_dereq_,module,exports){\nmodule.exports = function(dtype) {\n  switch (dtype) {\n    case 'int8':\n      return Int8Array\n    case 'int16':\n      return Int16Array\n    case 'int32':\n      return Int32Array\n    case 'uint8':\n      return Uint8Array\n    case 'uint16':\n      return Uint16Array\n    case 'uint32':\n      return Uint32Array\n    case 'float32':\n      return Float32Array\n    case 'float64':\n      return Float64Array\n    case 'array':\n      return Array\n    case 'uint8_clamped':\n      return Uint8ClampedArray\n  }\n}\n\n},{}],155:[function(_dereq_,module,exports){\n\"use strict\"\n\nfunction dupe_array(count, value, i) {\n  var c = count[i]|0\n  if(c <= 0) {\n    return []\n  }\n  var result = new Array(c), j\n  if(i === count.length-1) {\n    for(j=0; j<c; ++j) {\n      result[j] = value\n    }\n  } else {\n    for(j=0; j<c; ++j) {\n      result[j] = dupe_array(count, value, i+1)\n    }\n  }\n  return result\n}\n\nfunction dupe_number(count, value) {\n  var result, i\n  result = new Array(count)\n  for(i=0; i<count; ++i) {\n    result[i] = value\n  }\n  return result\n}\n\nfunction dupe(count, value) {\n  if(typeof value === \"undefined\") {\n    value = 0\n  }\n  switch(typeof count) {\n    case \"number\":\n      if(count > 0) {\n        return dupe_number(count|0, value)\n      }\n    break\n    case \"object\":\n      if(typeof (count.length) === \"number\") {\n        return dupe_array(count, value, 0)\n      }\n    break\n  }\n  return []\n}\n\nmodule.exports = dupe\n},{}],156:[function(_dereq_,module,exports){\n'use strict';\n\nmodule.exports = earcut;\nmodule.exports.default = earcut;\n\nfunction earcut(data, holeIndices, dim) {\n\n    dim = dim || 2;\n\n    var hasHoles = holeIndices && holeIndices.length,\n        outerLen = hasHoles ? holeIndices[0] * dim : data.length,\n        outerNode = linkedList(data, 0, outerLen, dim, true),\n        triangles = [];\n\n    if (!outerNode) return triangles;\n\n    var minX, minY, maxX, maxY, x, y, invSize;\n\n    if (hasHoles) outerNode = eliminateHoles(data, holeIndices, outerNode, dim);\n\n    // if the shape is not too simple, we'll use z-order curve hash later; calculate polygon bbox\n    if (data.length > 80 * dim) {\n        minX = maxX = data[0];\n        minY = maxY = data[1];\n\n        for (var i = dim; i < outerLen; i += dim) {\n            x = data[i];\n            y = data[i + 1];\n            if (x < minX) minX = x;\n            if (y < minY) minY = y;\n            if (x > maxX) maxX = x;\n            if (y > maxY) maxY = y;\n        }\n\n        // minX, minY and invSize are later used to transform coords into integers for z-order calculation\n        invSize = Math.max(maxX - minX, maxY - minY);\n        invSize = invSize !== 0 ? 1 / invSize : 0;\n    }\n\n    earcutLinked(outerNode, triangles, dim, minX, minY, invSize);\n\n    return triangles;\n}\n\n// create a circular doubly linked list from polygon points in the specified winding order\nfunction linkedList(data, start, end, dim, clockwise) {\n    var i, last;\n\n    if (clockwise === (signedArea(data, start, end, dim) > 0)) {\n        for (i = start; i < end; i += dim) last = insertNode(i, data[i], data[i + 1], last);\n    } else {\n        for (i = end - dim; i >= start; i -= dim) last = insertNode(i, data[i], data[i + 1], last);\n    }\n\n    if (last && equals(last, last.next)) {\n        removeNode(last);\n        last = last.next;\n    }\n\n    return last;\n}\n\n// eliminate colinear or duplicate points\nfunction filterPoints(start, end) {\n    if (!start) return start;\n    if (!end) end = start;\n\n    var p = start,\n        again;\n    do {\n        again = false;\n\n        if (!p.steiner && (equals(p, p.next) || area(p.prev, p, p.next) === 0)) {\n            removeNode(p);\n            p = end = p.prev;\n            if (p === p.next) break;\n            again = true;\n\n        } else {\n            p = p.next;\n        }\n    } while (again || p !== end);\n\n    return end;\n}\n\n// main ear slicing loop which triangulates a polygon (given as a linked list)\nfunction earcutLinked(ear, triangles, dim, minX, minY, invSize, pass) {\n    if (!ear) return;\n\n    // interlink polygon nodes in z-order\n    if (!pass && invSize) indexCurve(ear, minX, minY, invSize);\n\n    var stop = ear,\n        prev, next;\n\n    // iterate through ears, slicing them one by one\n    while (ear.prev !== ear.next) {\n        prev = ear.prev;\n        next = ear.next;\n\n        if (invSize ? isEarHashed(ear, minX, minY, invSize) : isEar(ear)) {\n            // cut off the triangle\n            triangles.push(prev.i / dim);\n            triangles.push(ear.i / dim);\n            triangles.push(next.i / dim);\n\n            removeNode(ear);\n\n            // skipping the next vertice leads to less sliver triangles\n            ear = next.next;\n            stop = next.next;\n\n            continue;\n        }\n\n        ear = next;\n\n        // if we looped through the whole remaining polygon and can't find any more ears\n        if (ear === stop) {\n            // try filtering points and slicing again\n            if (!pass) {\n                earcutLinked(filterPoints(ear), triangles, dim, minX, minY, invSize, 1);\n\n            // if this didn't work, try curing all small self-intersections locally\n            } else if (pass === 1) {\n                ear = cureLocalIntersections(ear, triangles, dim);\n                earcutLinked(ear, triangles, dim, minX, minY, invSize, 2);\n\n            // as a last resort, try splitting the remaining polygon into two\n            } else if (pass === 2) {\n                splitEarcut(ear, triangles, dim, minX, minY, invSize);\n            }\n\n            break;\n        }\n    }\n}\n\n// check whether a polygon node forms a valid ear with adjacent nodes\nfunction isEar(ear) {\n    var a = ear.prev,\n        b = ear,\n        c = ear.next;\n\n    if (area(a, b, c) >= 0) return false; // reflex, can't be an ear\n\n    // now make sure we don't have other points inside the potential ear\n    var p = ear.next.next;\n\n    while (p !== ear.prev) {\n        if (pointInTriangle(a.x, a.y, b.x, b.y, c.x, c.y, p.x, p.y) &&\n            area(p.prev, p, p.next) >= 0) return false;\n        p = p.next;\n    }\n\n    return true;\n}\n\nfunction isEarHashed(ear, minX, minY, invSize) {\n    var a = ear.prev,\n        b = ear,\n        c = ear.next;\n\n    if (area(a, b, c) >= 0) return false; // reflex, can't be an ear\n\n    // triangle bbox; min & max are calculated like this for speed\n    var minTX = a.x < b.x ? (a.x < c.x ? a.x : c.x) : (b.x < c.x ? b.x : c.x),\n        minTY = a.y < b.y ? (a.y < c.y ? a.y : c.y) : (b.y < c.y ? b.y : c.y),\n        maxTX = a.x > b.x ? (a.x > c.x ? a.x : c.x) : (b.x > c.x ? b.x : c.x),\n        maxTY = a.y > b.y ? (a.y > c.y ? a.y : c.y) : (b.y > c.y ? b.y : c.y);\n\n    // z-order range for the current triangle bbox;\n    var minZ = zOrder(minTX, minTY, minX, minY, invSize),\n        maxZ = zOrder(maxTX, maxTY, minX, minY, invSize);\n\n    var p = ear.prevZ,\n        n = ear.nextZ;\n\n    // look for points inside the triangle in both directions\n    while (p && p.z >= minZ && n && n.z <= maxZ) {\n        if (p !== ear.prev && p !== ear.next &&\n            pointInTriangle(a.x, a.y, b.x, b.y, c.x, c.y, p.x, p.y) &&\n            area(p.prev, p, p.next) >= 0) return false;\n        p = p.prevZ;\n\n        if (n !== ear.prev && n !== ear.next &&\n            pointInTriangle(a.x, a.y, b.x, b.y, c.x, c.y, n.x, n.y) &&\n            area(n.prev, n, n.next) >= 0) return false;\n        n = n.nextZ;\n    }\n\n    // look for remaining points in decreasing z-order\n    while (p && p.z >= minZ) {\n        if (p !== ear.prev && p !== ear.next &&\n            pointInTriangle(a.x, a.y, b.x, b.y, c.x, c.y, p.x, p.y) &&\n            area(p.prev, p, p.next) >= 0) return false;\n        p = p.prevZ;\n    }\n\n    // look for remaining points in increasing z-order\n    while (n && n.z <= maxZ) {\n        if (n !== ear.prev && n !== ear.next &&\n            pointInTriangle(a.x, a.y, b.x, b.y, c.x, c.y, n.x, n.y) &&\n            area(n.prev, n, n.next) >= 0) return false;\n        n = n.nextZ;\n    }\n\n    return true;\n}\n\n// go through all polygon nodes and cure small local self-intersections\nfunction cureLocalIntersections(start, triangles, dim) {\n    var p = start;\n    do {\n        var a = p.prev,\n            b = p.next.next;\n\n        if (!equals(a, b) && intersects(a, p, p.next, b) && locallyInside(a, b) && locallyInside(b, a)) {\n\n            triangles.push(a.i / dim);\n            triangles.push(p.i / dim);\n            triangles.push(b.i / dim);\n\n            // remove two nodes involved\n            removeNode(p);\n            removeNode(p.next);\n\n            p = start = b;\n        }\n        p = p.next;\n    } while (p !== start);\n\n    return p;\n}\n\n// try splitting polygon into two and triangulate them independently\nfunction splitEarcut(start, triangles, dim, minX, minY, invSize) {\n    // look for a valid diagonal that divides the polygon into two\n    var a = start;\n    do {\n        var b = a.next.next;\n        while (b !== a.prev) {\n            if (a.i !== b.i && isValidDiagonal(a, b)) {\n                // split the polygon in two by the diagonal\n                var c = splitPolygon(a, b);\n\n                // filter colinear points around the cuts\n                a = filterPoints(a, a.next);\n                c = filterPoints(c, c.next);\n\n                // run earcut on each half\n                earcutLinked(a, triangles, dim, minX, minY, invSize);\n                earcutLinked(c, triangles, dim, minX, minY, invSize);\n                return;\n            }\n            b = b.next;\n        }\n        a = a.next;\n    } while (a !== start);\n}\n\n// link every hole into the outer loop, producing a single-ring polygon without holes\nfunction eliminateHoles(data, holeIndices, outerNode, dim) {\n    var queue = [],\n        i, len, start, end, list;\n\n    for (i = 0, len = holeIndices.length; i < len; i++) {\n        start = holeIndices[i] * dim;\n        end = i < len - 1 ? holeIndices[i + 1] * dim : data.length;\n        list = linkedList(data, start, end, dim, false);\n        if (list === list.next) list.steiner = true;\n        queue.push(getLeftmost(list));\n    }\n\n    queue.sort(compareX);\n\n    // process holes from left to right\n    for (i = 0; i < queue.length; i++) {\n        eliminateHole(queue[i], outerNode);\n        outerNode = filterPoints(outerNode, outerNode.next);\n    }\n\n    return outerNode;\n}\n\nfunction compareX(a, b) {\n    return a.x - b.x;\n}\n\n// find a bridge between vertices that connects hole with an outer ring and and link it\nfunction eliminateHole(hole, outerNode) {\n    outerNode = findHoleBridge(hole, outerNode);\n    if (outerNode) {\n        var b = splitPolygon(outerNode, hole);\n        filterPoints(b, b.next);\n    }\n}\n\n// David Eberly's algorithm for finding a bridge between hole and outer polygon\nfunction findHoleBridge(hole, outerNode) {\n    var p = outerNode,\n        hx = hole.x,\n        hy = hole.y,\n        qx = -Infinity,\n        m;\n\n    // find a segment intersected by a ray from the hole's leftmost point to the left;\n    // segment's endpoint with lesser x will be potential connection point\n    do {\n        if (hy <= p.y && hy >= p.next.y && p.next.y !== p.y) {\n            var x = p.x + (hy - p.y) * (p.next.x - p.x) / (p.next.y - p.y);\n            if (x <= hx && x > qx) {\n                qx = x;\n                if (x === hx) {\n                    if (hy === p.y) return p;\n                    if (hy === p.next.y) return p.next;\n                }\n                m = p.x < p.next.x ? p : p.next;\n            }\n        }\n        p = p.next;\n    } while (p !== outerNode);\n\n    if (!m) return null;\n\n    if (hx === qx) return m.prev; // hole touches outer segment; pick lower endpoint\n\n    // look for points inside the triangle of hole point, segment intersection and endpoint;\n    // if there are no points found, we have a valid connection;\n    // otherwise choose the point of the minimum angle with the ray as connection point\n\n    var stop = m,\n        mx = m.x,\n        my = m.y,\n        tanMin = Infinity,\n        tan;\n\n    p = m.next;\n\n    while (p !== stop) {\n        if (hx >= p.x && p.x >= mx && hx !== p.x &&\n                pointInTriangle(hy < my ? hx : qx, hy, mx, my, hy < my ? qx : hx, hy, p.x, p.y)) {\n\n            tan = Math.abs(hy - p.y) / (hx - p.x); // tangential\n\n            if ((tan < tanMin || (tan === tanMin && p.x > m.x)) && locallyInside(p, hole)) {\n                m = p;\n                tanMin = tan;\n            }\n        }\n\n        p = p.next;\n    }\n\n    return m;\n}\n\n// interlink polygon nodes in z-order\nfunction indexCurve(start, minX, minY, invSize) {\n    var p = start;\n    do {\n        if (p.z === null) p.z = zOrder(p.x, p.y, minX, minY, invSize);\n        p.prevZ = p.prev;\n        p.nextZ = p.next;\n        p = p.next;\n    } while (p !== start);\n\n    p.prevZ.nextZ = null;\n    p.prevZ = null;\n\n    sortLinked(p);\n}\n\n// Simon Tatham's linked list merge sort algorithm\n// http://www.chiark.greenend.org.uk/~sgtatham/algorithms/listsort.html\nfunction sortLinked(list) {\n    var i, p, q, e, tail, numMerges, pSize, qSize,\n        inSize = 1;\n\n    do {\n        p = list;\n        list = null;\n        tail = null;\n        numMerges = 0;\n\n        while (p) {\n            numMerges++;\n            q = p;\n            pSize = 0;\n            for (i = 0; i < inSize; i++) {\n                pSize++;\n                q = q.nextZ;\n                if (!q) break;\n            }\n            qSize = inSize;\n\n            while (pSize > 0 || (qSize > 0 && q)) {\n\n                if (pSize !== 0 && (qSize === 0 || !q || p.z <= q.z)) {\n                    e = p;\n                    p = p.nextZ;\n                    pSize--;\n                } else {\n                    e = q;\n                    q = q.nextZ;\n                    qSize--;\n                }\n\n                if (tail) tail.nextZ = e;\n                else list = e;\n\n                e.prevZ = tail;\n                tail = e;\n            }\n\n            p = q;\n        }\n\n        tail.nextZ = null;\n        inSize *= 2;\n\n    } while (numMerges > 1);\n\n    return list;\n}\n\n// z-order of a point given coords and inverse of the longer side of data bbox\nfunction zOrder(x, y, minX, minY, invSize) {\n    // coords are transformed into non-negative 15-bit integer range\n    x = 32767 * (x - minX) * invSize;\n    y = 32767 * (y - minY) * invSize;\n\n    x = (x | (x << 8)) & 0x00FF00FF;\n    x = (x | (x << 4)) & 0x0F0F0F0F;\n    x = (x | (x << 2)) & 0x33333333;\n    x = (x | (x << 1)) & 0x55555555;\n\n    y = (y | (y << 8)) & 0x00FF00FF;\n    y = (y | (y << 4)) & 0x0F0F0F0F;\n    y = (y | (y << 2)) & 0x33333333;\n    y = (y | (y << 1)) & 0x55555555;\n\n    return x | (y << 1);\n}\n\n// find the leftmost node of a polygon ring\nfunction getLeftmost(start) {\n    var p = start,\n        leftmost = start;\n    do {\n        if (p.x < leftmost.x) leftmost = p;\n        p = p.next;\n    } while (p !== start);\n\n    return leftmost;\n}\n\n// check if a point lies within a convex triangle\nfunction pointInTriangle(ax, ay, bx, by, cx, cy, px, py) {\n    return (cx - px) * (ay - py) - (ax - px) * (cy - py) >= 0 &&\n           (ax - px) * (by - py) - (bx - px) * (ay - py) >= 0 &&\n           (bx - px) * (cy - py) - (cx - px) * (by - py) >= 0;\n}\n\n// check if a diagonal between two polygon nodes is valid (lies in polygon interior)\nfunction isValidDiagonal(a, b) {\n    return a.next.i !== b.i && a.prev.i !== b.i && !intersectsPolygon(a, b) &&\n           locallyInside(a, b) && locallyInside(b, a) && middleInside(a, b);\n}\n\n// signed area of a triangle\nfunction area(p, q, r) {\n    return (q.y - p.y) * (r.x - q.x) - (q.x - p.x) * (r.y - q.y);\n}\n\n// check if two points are equal\nfunction equals(p1, p2) {\n    return p1.x === p2.x && p1.y === p2.y;\n}\n\n// check if two segments intersect\nfunction intersects(p1, q1, p2, q2) {\n    if ((equals(p1, q1) && equals(p2, q2)) ||\n        (equals(p1, q2) && equals(p2, q1))) return true;\n    return area(p1, q1, p2) > 0 !== area(p1, q1, q2) > 0 &&\n           area(p2, q2, p1) > 0 !== area(p2, q2, q1) > 0;\n}\n\n// check if a polygon diagonal intersects any polygon segments\nfunction intersectsPolygon(a, b) {\n    var p = a;\n    do {\n        if (p.i !== a.i && p.next.i !== a.i && p.i !== b.i && p.next.i !== b.i &&\n                intersects(p, p.next, a, b)) return true;\n        p = p.next;\n    } while (p !== a);\n\n    return false;\n}\n\n// check if a polygon diagonal is locally inside the polygon\nfunction locallyInside(a, b) {\n    return area(a.prev, a, a.next) < 0 ?\n        area(a, b, a.next) >= 0 && area(a, a.prev, b) >= 0 :\n        area(a, b, a.prev) < 0 || area(a, a.next, b) < 0;\n}\n\n// check if the middle point of a polygon diagonal is inside the polygon\nfunction middleInside(a, b) {\n    var p = a,\n        inside = false,\n        px = (a.x + b.x) / 2,\n        py = (a.y + b.y) / 2;\n    do {\n        if (((p.y > py) !== (p.next.y > py)) && p.next.y !== p.y &&\n                (px < (p.next.x - p.x) * (py - p.y) / (p.next.y - p.y) + p.x))\n            inside = !inside;\n        p = p.next;\n    } while (p !== a);\n\n    return inside;\n}\n\n// link two polygon vertices with a bridge; if the vertices belong to the same ring, it splits polygon into two;\n// if one belongs to the outer ring and another to a hole, it merges it into a single ring\nfunction splitPolygon(a, b) {\n    var a2 = new Node(a.i, a.x, a.y),\n        b2 = new Node(b.i, b.x, b.y),\n        an = a.next,\n        bp = b.prev;\n\n    a.next = b;\n    b.prev = a;\n\n    a2.next = an;\n    an.prev = a2;\n\n    b2.next = a2;\n    a2.prev = b2;\n\n    bp.next = b2;\n    b2.prev = bp;\n\n    return b2;\n}\n\n// create a node and optionally link it with previous one (in a circular doubly linked list)\nfunction insertNode(i, x, y, last) {\n    var p = new Node(i, x, y);\n\n    if (!last) {\n        p.prev = p;\n        p.next = p;\n\n    } else {\n        p.next = last.next;\n        p.prev = last;\n        last.next.prev = p;\n        last.next = p;\n    }\n    return p;\n}\n\nfunction removeNode(p) {\n    p.next.prev = p.prev;\n    p.prev.next = p.next;\n\n    if (p.prevZ) p.prevZ.nextZ = p.nextZ;\n    if (p.nextZ) p.nextZ.prevZ = p.prevZ;\n}\n\nfunction Node(i, x, y) {\n    // vertice index in coordinates array\n    this.i = i;\n\n    // vertex coordinates\n    this.x = x;\n    this.y = y;\n\n    // previous and next vertice nodes in a polygon ring\n    this.prev = null;\n    this.next = null;\n\n    // z-order curve value\n    this.z = null;\n\n    // previous and next nodes in z-order\n    this.prevZ = null;\n    this.nextZ = null;\n\n    // indicates whether this is a steiner point\n    this.steiner = false;\n}\n\n// return a percentage difference between the polygon area and its triangulation area;\n// used to verify correctness of triangulation\nearcut.deviation = function (data, holeIndices, dim, triangles) {\n    var hasHoles = holeIndices && holeIndices.length;\n    var outerLen = hasHoles ? holeIndices[0] * dim : data.length;\n\n    var polygonArea = Math.abs(signedArea(data, 0, outerLen, dim));\n    if (hasHoles) {\n        for (var i = 0, len = holeIndices.length; i < len; i++) {\n            var start = holeIndices[i] * dim;\n            var end = i < len - 1 ? holeIndices[i + 1] * dim : data.length;\n            polygonArea -= Math.abs(signedArea(data, start, end, dim));\n        }\n    }\n\n    var trianglesArea = 0;\n    for (i = 0; i < triangles.length; i += 3) {\n        var a = triangles[i] * dim;\n        var b = triangles[i + 1] * dim;\n        var c = triangles[i + 2] * dim;\n        trianglesArea += Math.abs(\n            (data[a] - data[c]) * (data[b + 1] - data[a + 1]) -\n            (data[a] - data[b]) * (data[c + 1] - data[a + 1]));\n    }\n\n    return polygonArea === 0 && trianglesArea === 0 ? 0 :\n        Math.abs((trianglesArea - polygonArea) / polygonArea);\n};\n\nfunction signedArea(data, start, end, dim) {\n    var sum = 0;\n    for (var i = start, j = end - dim; i < end; i += dim) {\n        sum += (data[j] - data[i]) * (data[i + 1] + data[j + 1]);\n        j = i;\n    }\n    return sum;\n}\n\n// turn a polygon in a multi-dimensional array form (e.g. as in GeoJSON) into a form Earcut accepts\nearcut.flatten = function (data) {\n    var dim = data[0][0].length,\n        result = {vertices: [], holes: [], dimensions: dim},\n        holeIndex = 0;\n\n    for (var i = 0; i < data.length; i++) {\n        for (var j = 0; j < data[i].length; j++) {\n            for (var d = 0; d < dim; d++) result.vertices.push(data[i][j][d]);\n        }\n        if (i > 0) {\n            holeIndex += data[i - 1].length;\n            result.holes.push(holeIndex);\n        }\n    }\n    return result;\n};\n\n},{}],157:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = edgeToAdjacency\n\nvar uniq = _dereq_(\"uniq\")\n\nfunction edgeToAdjacency(edges, numVertices) {\n  var numEdges = edges.length\n  if(typeof numVertices !== \"number\") {\n    numVertices = 0\n    for(var i=0; i<numEdges; ++i) {\n      var e = edges[i]\n      numVertices = Math.max(numVertices, e[0], e[1])\n    }\n    numVertices = (numVertices|0) + 1\n  }\n  numVertices = numVertices|0\n  var adj = new Array(numVertices)\n  for(var i=0; i<numVertices; ++i) {\n    adj[i] = []\n  }\n  for(var i=0; i<numEdges; ++i) {\n    var e = edges[i]\n    adj[e[0]].push(e[1])\n    adj[e[1]].push(e[0])\n  }\n  for(var j=0; j<numVertices; ++j) {\n    uniq(adj[j], function(a, b) {\n      return a - b\n    })\n  }\n  return adj\n}\n},{\"uniq\":524}],158:[function(_dereq_,module,exports){\n// Inspired by Google Closure:\n// http://closure-library.googlecode.com/svn/docs/\n// closure_goog_array_array.js.html#goog.array.clear\n\n\"use strict\";\n\nvar value = _dereq_(\"../../object/valid-value\");\n\nmodule.exports = function () {\n\tvalue(this).length = 0;\n\treturn this;\n};\n\n},{\"../../object/valid-value\":190}],159:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = _dereq_(\"./is-implemented\")()\n\t? Array.from\n\t: _dereq_(\"./shim\");\n\n},{\"./is-implemented\":160,\"./shim\":161}],160:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = function () {\n\tvar from = Array.from, arr, result;\n\tif (typeof from !== \"function\") return false;\n\tarr = [\"raz\", \"dwa\"];\n\tresult = from(arr);\n\treturn Boolean(result && (result !== arr) && (result[1] === \"dwa\"));\n};\n\n},{}],161:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar iteratorSymbol = _dereq_(\"es6-symbol\").iterator\n  , isArguments    = _dereq_(\"../../function/is-arguments\")\n  , isFunction     = _dereq_(\"../../function/is-function\")\n  , toPosInt       = _dereq_(\"../../number/to-pos-integer\")\n  , callable       = _dereq_(\"../../object/valid-callable\")\n  , validValue     = _dereq_(\"../../object/valid-value\")\n  , isValue        = _dereq_(\"../../object/is-value\")\n  , isString       = _dereq_(\"../../string/is-string\")\n  , isArray        = Array.isArray\n  , call           = Function.prototype.call\n  , desc           = { configurable: true, enumerable: true, writable: true, value: null }\n  , defineProperty = Object.defineProperty;\n\n// eslint-disable-next-line complexity\nmodule.exports = function (arrayLike /*, mapFn, thisArg*/) {\n\tvar mapFn = arguments[1]\n\t  , thisArg = arguments[2]\n\t  , Context\n\t  , i\n\t  , j\n\t  , arr\n\t  , length\n\t  , code\n\t  , iterator\n\t  , result\n\t  , getIterator\n\t  , value;\n\n\tarrayLike = Object(validValue(arrayLike));\n\n\tif (isValue(mapFn)) callable(mapFn);\n\tif (!this || this === Array || !isFunction(this)) {\n\t\t// Result: Plain array\n\t\tif (!mapFn) {\n\t\t\tif (isArguments(arrayLike)) {\n\t\t\t\t// Source: Arguments\n\t\t\t\tlength = arrayLike.length;\n\t\t\t\tif (length !== 1) return Array.apply(null, arrayLike);\n\t\t\t\tarr = new Array(1);\n\t\t\t\tarr[0] = arrayLike[0];\n\t\t\t\treturn arr;\n\t\t\t}\n\t\t\tif (isArray(arrayLike)) {\n\t\t\t\t// Source: Array\n\t\t\t\tarr = new Array(length = arrayLike.length);\n\t\t\t\tfor (i = 0; i < length; ++i) arr[i] = arrayLike[i];\n\t\t\t\treturn arr;\n\t\t\t}\n\t\t}\n\t\tarr = [];\n\t} else {\n\t\t// Result: Non plain array\n\t\tContext = this;\n\t}\n\n\tif (!isArray(arrayLike)) {\n\t\tif ((getIterator = arrayLike[iteratorSymbol]) !== undefined) {\n\t\t\t// Source: Iterator\n\t\t\titerator = callable(getIterator).call(arrayLike);\n\t\t\tif (Context) arr = new Context();\n\t\t\tresult = iterator.next();\n\t\t\ti = 0;\n\t\t\twhile (!result.done) {\n\t\t\t\tvalue = mapFn ? call.call(mapFn, thisArg, result.value, i) : result.value;\n\t\t\t\tif (Context) {\n\t\t\t\t\tdesc.value = value;\n\t\t\t\t\tdefineProperty(arr, i, desc);\n\t\t\t\t} else {\n\t\t\t\t\tarr[i] = value;\n\t\t\t\t}\n\t\t\t\tresult = iterator.next();\n\t\t\t\t++i;\n\t\t\t}\n\t\t\tlength = i;\n\t\t} else if (isString(arrayLike)) {\n\t\t\t// Source: String\n\t\t\tlength = arrayLike.length;\n\t\t\tif (Context) arr = new Context();\n\t\t\tfor (i = 0, j = 0; i < length; ++i) {\n\t\t\t\tvalue = arrayLike[i];\n\t\t\t\tif (i + 1 < length) {\n\t\t\t\t\tcode = value.charCodeAt(0);\n\t\t\t\t\t// eslint-disable-next-line max-depth\n\t\t\t\t\tif (code >= 0xd800 && code <= 0xdbff) value += arrayLike[++i];\n\t\t\t\t}\n\t\t\t\tvalue = mapFn ? call.call(mapFn, thisArg, value, j) : value;\n\t\t\t\tif (Context) {\n\t\t\t\t\tdesc.value = value;\n\t\t\t\t\tdefineProperty(arr, j, desc);\n\t\t\t\t} else {\n\t\t\t\t\tarr[j] = value;\n\t\t\t\t}\n\t\t\t\t++j;\n\t\t\t}\n\t\t\tlength = j;\n\t\t}\n\t}\n\tif (length === undefined) {\n\t\t// Source: array or array-like\n\t\tlength = toPosInt(arrayLike.length);\n\t\tif (Context) arr = new Context(length);\n\t\tfor (i = 0; i < length; ++i) {\n\t\t\tvalue = mapFn ? call.call(mapFn, thisArg, arrayLike[i], i) : arrayLike[i];\n\t\t\tif (Context) {\n\t\t\t\tdesc.value = value;\n\t\t\t\tdefineProperty(arr, i, desc);\n\t\t\t} else {\n\t\t\t\tarr[i] = value;\n\t\t\t}\n\t\t}\n\t}\n\tif (Context) {\n\t\tdesc.value = null;\n\t\tarr.length = length;\n\t}\n\treturn arr;\n};\n\n},{\"../../function/is-arguments\":162,\"../../function/is-function\":163,\"../../number/to-pos-integer\":169,\"../../object/is-value\":179,\"../../object/valid-callable\":188,\"../../object/valid-value\":190,\"../../string/is-string\":194,\"es6-symbol\":204}],162:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar objToString = Object.prototype.toString\n  , id = objToString.call(\n\t(function () {\n\t\treturn arguments;\n\t})()\n);\n\nmodule.exports = function (value) {\n\treturn objToString.call(value) === id;\n};\n\n},{}],163:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar objToString = Object.prototype.toString, id = objToString.call(_dereq_(\"./noop\"));\n\nmodule.exports = function (value) {\n\treturn typeof value === \"function\" && objToString.call(value) === id;\n};\n\n},{\"./noop\":164}],164:[function(_dereq_,module,exports){\n\"use strict\";\n\n// eslint-disable-next-line no-empty-function\nmodule.exports = function () {};\n\n},{}],165:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = _dereq_(\"./is-implemented\")()\n\t? Math.sign\n\t: _dereq_(\"./shim\");\n\n},{\"./is-implemented\":166,\"./shim\":167}],166:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = function () {\n\tvar sign = Math.sign;\n\tif (typeof sign !== \"function\") return false;\n\treturn (sign(10) === 1) && (sign(-20) === -1);\n};\n\n},{}],167:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = function (value) {\n\tvalue = Number(value);\n\tif (isNaN(value) || (value === 0)) return value;\n\treturn value > 0 ? 1 : -1;\n};\n\n},{}],168:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar sign = _dereq_(\"../math/sign\")\n\n  , abs = Math.abs, floor = Math.floor;\n\nmodule.exports = function (value) {\n\tif (isNaN(value)) return 0;\n\tvalue = Number(value);\n\tif ((value === 0) || !isFinite(value)) return value;\n\treturn sign(value) * floor(abs(value));\n};\n\n},{\"../math/sign\":165}],169:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar toInteger = _dereq_(\"./to-integer\")\n\n  , max = Math.max;\n\nmodule.exports = function (value) {\n return max(0, toInteger(value));\n};\n\n},{\"./to-integer\":168}],170:[function(_dereq_,module,exports){\n// Internal method, used by iteration functions.\n// Calls a function for each key-value pair found in object\n// Optionally takes compareFn to iterate object in specific order\n\n\"use strict\";\n\nvar callable                = _dereq_(\"./valid-callable\")\n  , value                   = _dereq_(\"./valid-value\")\n  , bind                    = Function.prototype.bind\n  , call                    = Function.prototype.call\n  , keys                    = Object.keys\n  , objPropertyIsEnumerable = Object.prototype.propertyIsEnumerable;\n\nmodule.exports = function (method, defVal) {\n\treturn function (obj, cb /*, thisArg, compareFn*/) {\n\t\tvar list, thisArg = arguments[2], compareFn = arguments[3];\n\t\tobj = Object(value(obj));\n\t\tcallable(cb);\n\n\t\tlist = keys(obj);\n\t\tif (compareFn) {\n\t\t\tlist.sort(typeof compareFn === \"function\" ? bind.call(compareFn, obj) : undefined);\n\t\t}\n\t\tif (typeof method !== \"function\") method = list[method];\n\t\treturn call.call(method, list, function (key, index) {\n\t\t\tif (!objPropertyIsEnumerable.call(obj, key)) return defVal;\n\t\t\treturn call.call(cb, thisArg, obj[key], key, obj, index);\n\t\t});\n\t};\n};\n\n},{\"./valid-callable\":188,\"./valid-value\":190}],171:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = _dereq_(\"./is-implemented\")()\n\t? Object.assign\n\t: _dereq_(\"./shim\");\n\n},{\"./is-implemented\":172,\"./shim\":173}],172:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = function () {\n\tvar assign = Object.assign, obj;\n\tif (typeof assign !== \"function\") return false;\n\tobj = { foo: \"raz\" };\n\tassign(obj, { bar: \"dwa\" }, { trzy: \"trzy\" });\n\treturn (obj.foo + obj.bar + obj.trzy) === \"razdwatrzy\";\n};\n\n},{}],173:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar keys  = _dereq_(\"../keys\")\n  , value = _dereq_(\"../valid-value\")\n  , max   = Math.max;\n\nmodule.exports = function (dest, src /*, …srcn*/) {\n\tvar error, i, length = max(arguments.length, 2), assign;\n\tdest = Object(value(dest));\n\tassign = function (key) {\n\t\ttry {\n\t\t\tdest[key] = src[key];\n\t\t} catch (e) {\n\t\t\tif (!error) error = e;\n\t\t}\n\t};\n\tfor (i = 1; i < length; ++i) {\n\t\tsrc = arguments[i];\n\t\tkeys(src).forEach(assign);\n\t}\n\tif (error !== undefined) throw error;\n\treturn dest;\n};\n\n},{\"../keys\":180,\"../valid-value\":190}],174:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar aFrom  = _dereq_(\"../array/from\")\n  , assign = _dereq_(\"./assign\")\n  , value  = _dereq_(\"./valid-value\");\n\nmodule.exports = function (obj/*, propertyNames, options*/) {\n\tvar copy = Object(value(obj)), propertyNames = arguments[1], options = Object(arguments[2]);\n\tif (copy !== obj && !propertyNames) return copy;\n\tvar result = {};\n\tif (propertyNames) {\n\t\taFrom(propertyNames, function (propertyName) {\n\t\t\tif (options.ensure || propertyName in obj) result[propertyName] = obj[propertyName];\n\t\t});\n\t} else {\n\t\tassign(result, obj);\n\t}\n\treturn result;\n};\n\n},{\"../array/from\":159,\"./assign\":171,\"./valid-value\":190}],175:[function(_dereq_,module,exports){\n// Workaround for http://code.google.com/p/v8/issues/detail?id=2804\n\n\"use strict\";\n\nvar create = Object.create, shim;\n\nif (!_dereq_(\"./set-prototype-of/is-implemented\")()) {\n\tshim = _dereq_(\"./set-prototype-of/shim\");\n}\n\nmodule.exports = (function () {\n\tvar nullObject, polyProps, desc;\n\tif (!shim) return create;\n\tif (shim.level !== 1) return create;\n\n\tnullObject = {};\n\tpolyProps = {};\n\tdesc = {\n\t\tconfigurable: false,\n\t\tenumerable: false,\n\t\twritable: true,\n\t\tvalue: undefined\n\t};\n\tObject.getOwnPropertyNames(Object.prototype).forEach(function (name) {\n\t\tif (name === \"__proto__\") {\n\t\t\tpolyProps[name] = {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: false,\n\t\t\t\twritable: true,\n\t\t\t\tvalue: undefined\n\t\t\t};\n\t\t\treturn;\n\t\t}\n\t\tpolyProps[name] = desc;\n\t});\n\tObject.defineProperties(nullObject, polyProps);\n\n\tObject.defineProperty(shim, \"nullPolyfill\", {\n\t\tconfigurable: false,\n\t\tenumerable: false,\n\t\twritable: false,\n\t\tvalue: nullObject\n\t});\n\n\treturn function (prototype, props) {\n\t\treturn create(prototype === null ? nullObject : prototype, props);\n\t};\n}());\n\n},{\"./set-prototype-of/is-implemented\":186,\"./set-prototype-of/shim\":187}],176:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = _dereq_(\"./_iterate\")(\"forEach\");\n\n},{\"./_iterate\":170}],177:[function(_dereq_,module,exports){\n// Deprecated\n\n\"use strict\";\n\nmodule.exports = function (obj) {\n return typeof obj === \"function\";\n};\n\n},{}],178:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar isValue = _dereq_(\"./is-value\");\n\nvar map = { function: true, object: true };\n\nmodule.exports = function (value) {\n\treturn (isValue(value) && map[typeof value]) || false;\n};\n\n},{\"./is-value\":179}],179:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar _undefined = _dereq_(\"../function/noop\")(); // Support ES3 engines\n\nmodule.exports = function (val) {\n return (val !== _undefined) && (val !== null);\n};\n\n},{\"../function/noop\":164}],180:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = _dereq_(\"./is-implemented\")() ? Object.keys : _dereq_(\"./shim\");\n\n},{\"./is-implemented\":181,\"./shim\":182}],181:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = function () {\n\ttry {\n\t\tObject.keys(\"primitive\");\n\t\treturn true;\n\t} catch (e) {\n\t\treturn false;\n\t}\n};\n\n},{}],182:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar isValue = _dereq_(\"../is-value\");\n\nvar keys = Object.keys;\n\nmodule.exports = function (object) { return keys(isValue(object) ? Object(object) : object); };\n\n},{\"../is-value\":179}],183:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar callable = _dereq_(\"./valid-callable\")\n  , forEach  = _dereq_(\"./for-each\")\n  , call     = Function.prototype.call;\n\nmodule.exports = function (obj, cb /*, thisArg*/) {\n\tvar result = {}, thisArg = arguments[2];\n\tcallable(cb);\n\tforEach(obj, function (value, key, targetObj, index) {\n\t\tresult[key] = call.call(cb, thisArg, value, key, targetObj, index);\n\t});\n\treturn result;\n};\n\n},{\"./for-each\":176,\"./valid-callable\":188}],184:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar isValue = _dereq_(\"./is-value\");\n\nvar forEach = Array.prototype.forEach, create = Object.create;\n\nvar process = function (src, obj) {\n\tvar key;\n\tfor (key in src) obj[key] = src[key];\n};\n\n// eslint-disable-next-line no-unused-vars\nmodule.exports = function (opts1 /*, …options*/) {\n\tvar result = create(null);\n\tforEach.call(arguments, function (options) {\n\t\tif (!isValue(options)) return;\n\t\tprocess(Object(options), result);\n\t});\n\treturn result;\n};\n\n},{\"./is-value\":179}],185:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = _dereq_(\"./is-implemented\")()\n\t? Object.setPrototypeOf\n\t: _dereq_(\"./shim\");\n\n},{\"./is-implemented\":186,\"./shim\":187}],186:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar create = Object.create, getPrototypeOf = Object.getPrototypeOf, plainObject = {};\n\nmodule.exports = function (/* CustomCreate*/) {\n\tvar setPrototypeOf = Object.setPrototypeOf, customCreate = arguments[0] || create;\n\tif (typeof setPrototypeOf !== \"function\") return false;\n\treturn getPrototypeOf(setPrototypeOf(customCreate(null), plainObject)) === plainObject;\n};\n\n},{}],187:[function(_dereq_,module,exports){\n/* eslint no-proto: \"off\" */\n\n// Big thanks to @WebReflection for sorting this out\n// https://gist.github.com/WebReflection/5593554\n\n\"use strict\";\n\nvar isObject        = _dereq_(\"../is-object\")\n  , value           = _dereq_(\"../valid-value\")\n  , objIsPrototypeOf = Object.prototype.isPrototypeOf\n  , defineProperty  = Object.defineProperty\n  , nullDesc        = {\n\tconfigurable: true,\n\tenumerable: false,\n\twritable: true,\n\tvalue: undefined\n}\n  , validate;\n\nvalidate = function (obj, prototype) {\n\tvalue(obj);\n\tif (prototype === null || isObject(prototype)) return obj;\n\tthrow new TypeError(\"Prototype must be null or an object\");\n};\n\nmodule.exports = (function (status) {\n\tvar fn, set;\n\tif (!status) return null;\n\tif (status.level === 2) {\n\t\tif (status.set) {\n\t\t\tset = status.set;\n\t\t\tfn = function (obj, prototype) {\n\t\t\t\tset.call(validate(obj, prototype), prototype);\n\t\t\t\treturn obj;\n\t\t\t};\n\t\t} else {\n\t\t\tfn = function (obj, prototype) {\n\t\t\t\tvalidate(obj, prototype).__proto__ = prototype;\n\t\t\t\treturn obj;\n\t\t\t};\n\t\t}\n\t} else {\n\t\tfn = function self(obj, prototype) {\n\t\t\tvar isNullBase;\n\t\t\tvalidate(obj, prototype);\n\t\t\tisNullBase = objIsPrototypeOf.call(self.nullPolyfill, obj);\n\t\t\tif (isNullBase) delete self.nullPolyfill.__proto__;\n\t\t\tif (prototype === null) prototype = self.nullPolyfill;\n\t\t\tobj.__proto__ = prototype;\n\t\t\tif (isNullBase) defineProperty(self.nullPolyfill, \"__proto__\", nullDesc);\n\t\t\treturn obj;\n\t\t};\n\t}\n\treturn Object.defineProperty(fn, \"level\", {\n\t\tconfigurable: false,\n\t\tenumerable: false,\n\t\twritable: false,\n\t\tvalue: status.level\n\t});\n}(\n\t(function () {\n\t\tvar tmpObj1 = Object.create(null)\n\t\t  , tmpObj2 = {}\n\t\t  , set\n\t\t  , desc = Object.getOwnPropertyDescriptor(Object.prototype, \"__proto__\");\n\n\t\tif (desc) {\n\t\t\ttry {\n\t\t\t\tset = desc.set; // Opera crashes at this point\n\t\t\t\tset.call(tmpObj1, tmpObj2);\n\t\t\t} catch (ignore) {}\n\t\t\tif (Object.getPrototypeOf(tmpObj1) === tmpObj2) return { set: set, level: 2 };\n\t\t}\n\n\t\ttmpObj1.__proto__ = tmpObj2;\n\t\tif (Object.getPrototypeOf(tmpObj1) === tmpObj2) return { level: 2 };\n\n\t\ttmpObj1 = {};\n\t\ttmpObj1.__proto__ = tmpObj2;\n\t\tif (Object.getPrototypeOf(tmpObj1) === tmpObj2) return { level: 1 };\n\n\t\treturn false;\n\t})()\n));\n\n_dereq_(\"../create\");\n\n},{\"../create\":175,\"../is-object\":178,\"../valid-value\":190}],188:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = function (fn) {\n\tif (typeof fn !== \"function\") throw new TypeError(fn + \" is not a function\");\n\treturn fn;\n};\n\n},{}],189:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar isObject = _dereq_(\"./is-object\");\n\nmodule.exports = function (value) {\n\tif (!isObject(value)) throw new TypeError(value + \" is not an Object\");\n\treturn value;\n};\n\n},{\"./is-object\":178}],190:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar isValue = _dereq_(\"./is-value\");\n\nmodule.exports = function (value) {\n\tif (!isValue(value)) throw new TypeError(\"Cannot use null or undefined\");\n\treturn value;\n};\n\n},{\"./is-value\":179}],191:[function(_dereq_,module,exports){\n\"use strict\";\n\nmodule.exports = _dereq_(\"./is-implemented\")()\n\t? String.prototype.contains\n\t: _dereq_(\"./shim\");\n\n},{\"./is-implemented\":192,\"./shim\":193}],192:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar str = \"razdwatrzy\";\n\nmodule.exports = function () {\n\tif (typeof str.contains !== \"function\") return false;\n\treturn (str.contains(\"dwa\") === true) && (str.contains(\"foo\") === false);\n};\n\n},{}],193:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar indexOf = String.prototype.indexOf;\n\nmodule.exports = function (searchString/*, position*/) {\n\treturn indexOf.call(this, searchString, arguments[1]) > -1;\n};\n\n},{}],194:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar objToString = Object.prototype.toString, id = objToString.call(\"\");\n\nmodule.exports = function (value) {\n\treturn (\n\t\ttypeof value === \"string\" ||\n\t\t(value &&\n\t\t\ttypeof value === \"object\" &&\n\t\t\t(value instanceof String || objToString.call(value) === id)) ||\n\t\tfalse\n\t);\n};\n\n},{}],195:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar generated = Object.create(null), random = Math.random;\n\nmodule.exports = function () {\n\tvar str;\n\tdo {\n\t\tstr = random()\n\t\t\t.toString(36)\n\t\t\t.slice(2);\n\t} while (generated[str]);\n\treturn str;\n};\n\n},{}],196:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar setPrototypeOf = _dereq_(\"es5-ext/object/set-prototype-of\")\n  , contains       = _dereq_(\"es5-ext/string/#/contains\")\n  , d              = _dereq_(\"d\")\n  , Symbol         = _dereq_(\"es6-symbol\")\n  , Iterator       = _dereq_(\"./\");\n\nvar defineProperty = Object.defineProperty, ArrayIterator;\n\nArrayIterator = module.exports = function (arr, kind) {\n\tif (!(this instanceof ArrayIterator)) throw new TypeError(\"Constructor requires 'new'\");\n\tIterator.call(this, arr);\n\tif (!kind) kind = \"value\";\n\telse if (contains.call(kind, \"key+value\")) kind = \"key+value\";\n\telse if (contains.call(kind, \"key\")) kind = \"key\";\n\telse kind = \"value\";\n\tdefineProperty(this, \"__kind__\", d(\"\", kind));\n};\nif (setPrototypeOf) setPrototypeOf(ArrayIterator, Iterator);\n\n// Internal %ArrayIteratorPrototype% doesn't expose its constructor\ndelete ArrayIterator.prototype.constructor;\n\nArrayIterator.prototype = Object.create(Iterator.prototype, {\n\t_resolve: d(function (i) {\n\t\tif (this.__kind__ === \"value\") return this.__list__[i];\n\t\tif (this.__kind__ === \"key+value\") return [i, this.__list__[i]];\n\t\treturn i;\n\t})\n});\ndefineProperty(ArrayIterator.prototype, Symbol.toStringTag, d(\"c\", \"Array Iterator\"));\n\n},{\"./\":199,\"d\":139,\"es5-ext/object/set-prototype-of\":185,\"es5-ext/string/#/contains\":191,\"es6-symbol\":204}],197:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar isArguments = _dereq_(\"es5-ext/function/is-arguments\")\n  , callable    = _dereq_(\"es5-ext/object/valid-callable\")\n  , isString    = _dereq_(\"es5-ext/string/is-string\")\n  , get         = _dereq_(\"./get\");\n\nvar isArray = Array.isArray, call = Function.prototype.call, some = Array.prototype.some;\n\nmodule.exports = function (iterable, cb /*, thisArg*/) {\n\tvar mode, thisArg = arguments[2], result, doBreak, broken, i, length, char, code;\n\tif (isArray(iterable) || isArguments(iterable)) mode = \"array\";\n\telse if (isString(iterable)) mode = \"string\";\n\telse iterable = get(iterable);\n\n\tcallable(cb);\n\tdoBreak = function () {\n\t\tbroken = true;\n\t};\n\tif (mode === \"array\") {\n\t\tsome.call(iterable, function (value) {\n\t\t\tcall.call(cb, thisArg, value, doBreak);\n\t\t\treturn broken;\n\t\t});\n\t\treturn;\n\t}\n\tif (mode === \"string\") {\n\t\tlength = iterable.length;\n\t\tfor (i = 0; i < length; ++i) {\n\t\t\tchar = iterable[i];\n\t\t\tif (i + 1 < length) {\n\t\t\t\tcode = char.charCodeAt(0);\n\t\t\t\tif (code >= 0xd800 && code <= 0xdbff) char += iterable[++i];\n\t\t\t}\n\t\t\tcall.call(cb, thisArg, char, doBreak);\n\t\t\tif (broken) break;\n\t\t}\n\t\treturn;\n\t}\n\tresult = iterable.next();\n\n\twhile (!result.done) {\n\t\tcall.call(cb, thisArg, result.value, doBreak);\n\t\tif (broken) return;\n\t\tresult = iterable.next();\n\t}\n};\n\n},{\"./get\":198,\"es5-ext/function/is-arguments\":162,\"es5-ext/object/valid-callable\":188,\"es5-ext/string/is-string\":194}],198:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar isArguments    = _dereq_(\"es5-ext/function/is-arguments\")\n  , isString       = _dereq_(\"es5-ext/string/is-string\")\n  , ArrayIterator  = _dereq_(\"./array\")\n  , StringIterator = _dereq_(\"./string\")\n  , iterable       = _dereq_(\"./valid-iterable\")\n  , iteratorSymbol = _dereq_(\"es6-symbol\").iterator;\n\nmodule.exports = function (obj) {\n\tif (typeof iterable(obj)[iteratorSymbol] === \"function\") return obj[iteratorSymbol]();\n\tif (isArguments(obj)) return new ArrayIterator(obj);\n\tif (isString(obj)) return new StringIterator(obj);\n\treturn new ArrayIterator(obj);\n};\n\n},{\"./array\":196,\"./string\":201,\"./valid-iterable\":202,\"es5-ext/function/is-arguments\":162,\"es5-ext/string/is-string\":194,\"es6-symbol\":204}],199:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar clear    = _dereq_(\"es5-ext/array/#/clear\")\n  , assign   = _dereq_(\"es5-ext/object/assign\")\n  , callable = _dereq_(\"es5-ext/object/valid-callable\")\n  , value    = _dereq_(\"es5-ext/object/valid-value\")\n  , d        = _dereq_(\"d\")\n  , autoBind = _dereq_(\"d/auto-bind\")\n  , Symbol   = _dereq_(\"es6-symbol\");\n\nvar defineProperty = Object.defineProperty, defineProperties = Object.defineProperties, Iterator;\n\nmodule.exports = Iterator = function (list, context) {\n\tif (!(this instanceof Iterator)) throw new TypeError(\"Constructor requires 'new'\");\n\tdefineProperties(this, {\n\t\t__list__: d(\"w\", value(list)),\n\t\t__context__: d(\"w\", context),\n\t\t__nextIndex__: d(\"w\", 0)\n\t});\n\tif (!context) return;\n\tcallable(context.on);\n\tcontext.on(\"_add\", this._onAdd);\n\tcontext.on(\"_delete\", this._onDelete);\n\tcontext.on(\"_clear\", this._onClear);\n};\n\n// Internal %IteratorPrototype% doesn't expose its constructor\ndelete Iterator.prototype.constructor;\n\ndefineProperties(\n\tIterator.prototype,\n\tassign(\n\t\t{\n\t\t\t_next: d(function () {\n\t\t\t\tvar i;\n\t\t\t\tif (!this.__list__) return undefined;\n\t\t\t\tif (this.__redo__) {\n\t\t\t\t\ti = this.__redo__.shift();\n\t\t\t\t\tif (i !== undefined) return i;\n\t\t\t\t}\n\t\t\t\tif (this.__nextIndex__ < this.__list__.length) return this.__nextIndex__++;\n\t\t\t\tthis._unBind();\n\t\t\t\treturn undefined;\n\t\t\t}),\n\t\t\tnext: d(function () {\n\t\t\t\treturn this._createResult(this._next());\n\t\t\t}),\n\t\t\t_createResult: d(function (i) {\n\t\t\t\tif (i === undefined) return { done: true, value: undefined };\n\t\t\t\treturn { done: false, value: this._resolve(i) };\n\t\t\t}),\n\t\t\t_resolve: d(function (i) {\n\t\t\t\treturn this.__list__[i];\n\t\t\t}),\n\t\t\t_unBind: d(function () {\n\t\t\t\tthis.__list__ = null;\n\t\t\t\tdelete this.__redo__;\n\t\t\t\tif (!this.__context__) return;\n\t\t\t\tthis.__context__.off(\"_add\", this._onAdd);\n\t\t\t\tthis.__context__.off(\"_delete\", this._onDelete);\n\t\t\t\tthis.__context__.off(\"_clear\", this._onClear);\n\t\t\t\tthis.__context__ = null;\n\t\t\t}),\n\t\t\ttoString: d(function () {\n\t\t\t\treturn \"[object \" + (this[Symbol.toStringTag] || \"Object\") + \"]\";\n\t\t\t})\n\t\t},\n\t\tautoBind({\n\t\t\t_onAdd: d(function (index) {\n\t\t\t\tif (index >= this.__nextIndex__) return;\n\t\t\t\t++this.__nextIndex__;\n\t\t\t\tif (!this.__redo__) {\n\t\t\t\t\tdefineProperty(this, \"__redo__\", d(\"c\", [index]));\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\tthis.__redo__.forEach(function (redo, i) {\n\t\t\t\t\tif (redo >= index) this.__redo__[i] = ++redo;\n\t\t\t\t}, this);\n\t\t\t\tthis.__redo__.push(index);\n\t\t\t}),\n\t\t\t_onDelete: d(function (index) {\n\t\t\t\tvar i;\n\t\t\t\tif (index >= this.__nextIndex__) return;\n\t\t\t\t--this.__nextIndex__;\n\t\t\t\tif (!this.__redo__) return;\n\t\t\t\ti = this.__redo__.indexOf(index);\n\t\t\t\tif (i !== -1) this.__redo__.splice(i, 1);\n\t\t\t\tthis.__redo__.forEach(function (redo, j) {\n\t\t\t\t\tif (redo > index) this.__redo__[j] = --redo;\n\t\t\t\t}, this);\n\t\t\t}),\n\t\t\t_onClear: d(function () {\n\t\t\t\tif (this.__redo__) clear.call(this.__redo__);\n\t\t\t\tthis.__nextIndex__ = 0;\n\t\t\t})\n\t\t})\n\t)\n);\n\ndefineProperty(\n\tIterator.prototype,\n\tSymbol.iterator,\n\td(function () {\n\t\treturn this;\n\t})\n);\n\n},{\"d\":139,\"d/auto-bind\":138,\"es5-ext/array/#/clear\":158,\"es5-ext/object/assign\":171,\"es5-ext/object/valid-callable\":188,\"es5-ext/object/valid-value\":190,\"es6-symbol\":204}],200:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar isArguments = _dereq_(\"es5-ext/function/is-arguments\")\n  , isValue     = _dereq_(\"es5-ext/object/is-value\")\n  , isString    = _dereq_(\"es5-ext/string/is-string\");\n\nvar iteratorSymbol = _dereq_(\"es6-symbol\").iterator\n  , isArray        = Array.isArray;\n\nmodule.exports = function (value) {\n\tif (!isValue(value)) return false;\n\tif (isArray(value)) return true;\n\tif (isString(value)) return true;\n\tif (isArguments(value)) return true;\n\treturn typeof value[iteratorSymbol] === \"function\";\n};\n\n},{\"es5-ext/function/is-arguments\":162,\"es5-ext/object/is-value\":179,\"es5-ext/string/is-string\":194,\"es6-symbol\":204}],201:[function(_dereq_,module,exports){\n// Thanks @mathiasbynens\n// http://mathiasbynens.be/notes/javascript-unicode#iterating-over-symbols\n\n\"use strict\";\n\nvar setPrototypeOf = _dereq_(\"es5-ext/object/set-prototype-of\")\n  , d              = _dereq_(\"d\")\n  , Symbol         = _dereq_(\"es6-symbol\")\n  , Iterator       = _dereq_(\"./\");\n\nvar defineProperty = Object.defineProperty, StringIterator;\n\nStringIterator = module.exports = function (str) {\n\tif (!(this instanceof StringIterator)) throw new TypeError(\"Constructor requires 'new'\");\n\tstr = String(str);\n\tIterator.call(this, str);\n\tdefineProperty(this, \"__length__\", d(\"\", str.length));\n};\nif (setPrototypeOf) setPrototypeOf(StringIterator, Iterator);\n\n// Internal %ArrayIteratorPrototype% doesn't expose its constructor\ndelete StringIterator.prototype.constructor;\n\nStringIterator.prototype = Object.create(Iterator.prototype, {\n\t_next: d(function () {\n\t\tif (!this.__list__) return undefined;\n\t\tif (this.__nextIndex__ < this.__length__) return this.__nextIndex__++;\n\t\tthis._unBind();\n\t\treturn undefined;\n\t}),\n\t_resolve: d(function (i) {\n\t\tvar char = this.__list__[i], code;\n\t\tif (this.__nextIndex__ === this.__length__) return char;\n\t\tcode = char.charCodeAt(0);\n\t\tif (code >= 0xd800 && code <= 0xdbff) return char + this.__list__[this.__nextIndex__++];\n\t\treturn char;\n\t})\n});\ndefineProperty(StringIterator.prototype, Symbol.toStringTag, d(\"c\", \"String Iterator\"));\n\n},{\"./\":199,\"d\":139,\"es5-ext/object/set-prototype-of\":185,\"es6-symbol\":204}],202:[function(_dereq_,module,exports){\n\"use strict\";\n\nvar isIterable = _dereq_(\"./is-iterable\");\n\nmodule.exports = function (value) {\n\tif (!isIterable(value)) throw new TypeError(value + \" is not iterable\");\n\treturn value;\n};\n\n},{\"./is-iterable\":200}],203:[function(_dereq_,module,exports){\n(function (process,global){\n/*!\n * @overview es6-promise - a tiny implementation of Promises/A+.\n * @copyright Copyright (c) 2014 Yehuda Katz, Tom Dale, Stefan Penner and contributors (Conversion to ES6 API by Jake Archibald)\n * @license   Licensed under MIT license\n *            See https://raw.githubusercontent.com/stefanpenner/es6-promise/master/LICENSE\n * @version   3.3.1\n */\n\n(function (global, factory) {\n    typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :\n    typeof define === 'function' && define.amd ? define(factory) :\n    (global.ES6Promise = factory());\n}(this, (function () { 'use strict';\n\nfunction objectOrFunction(x) {\n  return typeof x === 'function' || typeof x === 'object' && x !== null;\n}\n\nfunction isFunction(x) {\n  return typeof x === 'function';\n}\n\nvar _isArray = undefined;\nif (!Array.isArray) {\n  _isArray = function (x) {\n    return Object.prototype.toString.call(x) === '[object Array]';\n  };\n} else {\n  _isArray = Array.isArray;\n}\n\nvar isArray = _isArray;\n\nvar len = 0;\nvar vertxNext = undefined;\nvar customSchedulerFn = undefined;\n\nvar asap = function asap(callback, arg) {\n  queue[len] = callback;\n  queue[len + 1] = arg;\n  len += 2;\n  if (len === 2) {\n    // If len is 2, that means that we need to schedule an async flush.\n    // If additional callbacks are queued before the queue is flushed, they\n    // will be processed by this flush that we are scheduling.\n    if (customSchedulerFn) {\n      customSchedulerFn(flush);\n    } else {\n      scheduleFlush();\n    }\n  }\n};\n\nfunction setScheduler(scheduleFn) {\n  customSchedulerFn = scheduleFn;\n}\n\nfunction setAsap(asapFn) {\n  asap = asapFn;\n}\n\nvar browserWindow = typeof window !== 'undefined' ? window : undefined;\nvar browserGlobal = browserWindow || {};\nvar BrowserMutationObserver = browserGlobal.MutationObserver || browserGlobal.WebKitMutationObserver;\nvar isNode = typeof self === 'undefined' && typeof process !== 'undefined' && ({}).toString.call(process) === '[object process]';\n\n// test for web worker but not in IE10\nvar isWorker = typeof Uint8ClampedArray !== 'undefined' && typeof importScripts !== 'undefined' && typeof MessageChannel !== 'undefined';\n\n// node\nfunction useNextTick() {\n  // node version 0.10.x displays a deprecation warning when nextTick is used recursively\n  // see https://github.com/cujojs/when/issues/410 for details\n  return function () {\n    return process.nextTick(flush);\n  };\n}\n\n// vertx\nfunction useVertxTimer() {\n  return function () {\n    vertxNext(flush);\n  };\n}\n\nfunction useMutationObserver() {\n  var iterations = 0;\n  var observer = new BrowserMutationObserver(flush);\n  var node = document.createTextNode('');\n  observer.observe(node, { characterData: true });\n\n  return function () {\n    node.data = iterations = ++iterations % 2;\n  };\n}\n\n// web worker\nfunction useMessageChannel() {\n  var channel = new MessageChannel();\n  channel.port1.onmessage = flush;\n  return function () {\n    return channel.port2.postMessage(0);\n  };\n}\n\nfunction useSetTimeout() {\n  // Store setTimeout reference so es6-promise will be unaffected by\n  // other code modifying setTimeout (like sinon.useFakeTimers())\n  var globalSetTimeout = setTimeout;\n  return function () {\n    return globalSetTimeout(flush, 1);\n  };\n}\n\nvar queue = new Array(1000);\nfunction flush() {\n  for (var i = 0; i < len; i += 2) {\n    var callback = queue[i];\n    var arg = queue[i + 1];\n\n    callback(arg);\n\n    queue[i] = undefined;\n    queue[i + 1] = undefined;\n  }\n\n  len = 0;\n}\n\nfunction attemptVertx() {\n  try {\n    var r = _dereq_;\n    var vertx = r('vertx');\n    vertxNext = vertx.runOnLoop || vertx.runOnContext;\n    return useVertxTimer();\n  } catch (e) {\n    return useSetTimeout();\n  }\n}\n\nvar scheduleFlush = undefined;\n// Decide what async method to use to triggering processing of queued callbacks:\nif (isNode) {\n  scheduleFlush = useNextTick();\n} else if (BrowserMutationObserver) {\n  scheduleFlush = useMutationObserver();\n} else if (isWorker) {\n  scheduleFlush = useMessageChannel();\n} else if (browserWindow === undefined && typeof _dereq_ === 'function') {\n  scheduleFlush = attemptVertx();\n} else {\n  scheduleFlush = useSetTimeout();\n}\n\nfunction then(onFulfillment, onRejection) {\n  var _arguments = arguments;\n\n  var parent = this;\n\n  var child = new this.constructor(noop);\n\n  if (child[PROMISE_ID] === undefined) {\n    makePromise(child);\n  }\n\n  var _state = parent._state;\n\n  if (_state) {\n    (function () {\n      var callback = _arguments[_state - 1];\n      asap(function () {\n        return invokeCallback(_state, child, callback, parent._result);\n      });\n    })();\n  } else {\n    subscribe(parent, child, onFulfillment, onRejection);\n  }\n\n  return child;\n}\n\n/**\n  `Promise.resolve` returns a promise that will become resolved with the\n  passed `value`. It is shorthand for the following:\n\n  ```javascript\n  let promise = new Promise(function(resolve, reject){\n    resolve(1);\n  });\n\n  promise.then(function(value){\n    // value === 1\n  });\n  ```\n\n  Instead of writing the above, your code now simply becomes the following:\n\n  ```javascript\n  let promise = Promise.resolve(1);\n\n  promise.then(function(value){\n    // value === 1\n  });\n  ```\n\n  @method resolve\n  @static\n  @param {Any} value value that the returned promise will be resolved with\n  Useful for tooling.\n  @return {Promise} a promise that will become fulfilled with the given\n  `value`\n*/\nfunction resolve(object) {\n  /*jshint validthis:true */\n  var Constructor = this;\n\n  if (object && typeof object === 'object' && object.constructor === Constructor) {\n    return object;\n  }\n\n  var promise = new Constructor(noop);\n  _resolve(promise, object);\n  return promise;\n}\n\nvar PROMISE_ID = Math.random().toString(36).substring(16);\n\nfunction noop() {}\n\nvar PENDING = void 0;\nvar FULFILLED = 1;\nvar REJECTED = 2;\n\nvar GET_THEN_ERROR = new ErrorObject();\n\nfunction selfFulfillment() {\n  return new TypeError(\"You cannot resolve a promise with itself\");\n}\n\nfunction cannotReturnOwn() {\n  return new TypeError('A promises callback cannot return that same promise.');\n}\n\nfunction getThen(promise) {\n  try {\n    return promise.then;\n  } catch (error) {\n    GET_THEN_ERROR.error = error;\n    return GET_THEN_ERROR;\n  }\n}\n\nfunction tryThen(then, value, fulfillmentHandler, rejectionHandler) {\n  try {\n    then.call(value, fulfillmentHandler, rejectionHandler);\n  } catch (e) {\n    return e;\n  }\n}\n\nfunction handleForeignThenable(promise, thenable, then) {\n  asap(function (promise) {\n    var sealed = false;\n    var error = tryThen(then, thenable, function (value) {\n      if (sealed) {\n        return;\n      }\n      sealed = true;\n      if (thenable !== value) {\n        _resolve(promise, value);\n      } else {\n        fulfill(promise, value);\n      }\n    }, function (reason) {\n      if (sealed) {\n        return;\n      }\n      sealed = true;\n\n      _reject(promise, reason);\n    }, 'Settle: ' + (promise._label || ' unknown promise'));\n\n    if (!sealed && error) {\n      sealed = true;\n      _reject(promise, error);\n    }\n  }, promise);\n}\n\nfunction handleOwnThenable(promise, thenable) {\n  if (thenable._state === FULFILLED) {\n    fulfill(promise, thenable._result);\n  } else if (thenable._state === REJECTED) {\n    _reject(promise, thenable._result);\n  } else {\n    subscribe(thenable, undefined, function (value) {\n      return _resolve(promise, value);\n    }, function (reason) {\n      return _reject(promise, reason);\n    });\n  }\n}\n\nfunction handleMaybeThenable(promise, maybeThenable, then$$) {\n  if (maybeThenable.constructor === promise.constructor && then$$ === then && maybeThenable.constructor.resolve === resolve) {\n    handleOwnThenable(promise, maybeThenable);\n  } else {\n    if (then$$ === GET_THEN_ERROR) {\n      _reject(promise, GET_THEN_ERROR.error);\n    } else if (then$$ === undefined) {\n      fulfill(promise, maybeThenable);\n    } else if (isFunction(then$$)) {\n      handleForeignThenable(promise, maybeThenable, then$$);\n    } else {\n      fulfill(promise, maybeThenable);\n    }\n  }\n}\n\nfunction _resolve(promise, value) {\n  if (promise === value) {\n    _reject(promise, selfFulfillment());\n  } else if (objectOrFunction(value)) {\n    handleMaybeThenable(promise, value, getThen(value));\n  } else {\n    fulfill(promise, value);\n  }\n}\n\nfunction publishRejection(promise) {\n  if (promise._onerror) {\n    promise._onerror(promise._result);\n  }\n\n  publish(promise);\n}\n\nfunction fulfill(promise, value) {\n  if (promise._state !== PENDING) {\n    return;\n  }\n\n  promise._result = value;\n  promise._state = FULFILLED;\n\n  if (promise._subscribers.length !== 0) {\n    asap(publish, promise);\n  }\n}\n\nfunction _reject(promise, reason) {\n  if (promise._state !== PENDING) {\n    return;\n  }\n  promise._state = REJECTED;\n  promise._result = reason;\n\n  asap(publishRejection, promise);\n}\n\nfunction subscribe(parent, child, onFulfillment, onRejection) {\n  var _subscribers = parent._subscribers;\n  var length = _subscribers.length;\n\n  parent._onerror = null;\n\n  _subscribers[length] = child;\n  _subscribers[length + FULFILLED] = onFulfillment;\n  _subscribers[length + REJECTED] = onRejection;\n\n  if (length === 0 && parent._state) {\n    asap(publish, parent);\n  }\n}\n\nfunction publish(promise) {\n  var subscribers = promise._subscribers;\n  var settled = promise._state;\n\n  if (subscribers.length === 0) {\n    return;\n  }\n\n  var child = undefined,\n      callback = undefined,\n      detail = promise._result;\n\n  for (var i = 0; i < subscribers.length; i += 3) {\n    child = subscribers[i];\n    callback = subscribers[i + settled];\n\n    if (child) {\n      invokeCallback(settled, child, callback, detail);\n    } else {\n      callback(detail);\n    }\n  }\n\n  promise._subscribers.length = 0;\n}\n\nfunction ErrorObject() {\n  this.error = null;\n}\n\nvar TRY_CATCH_ERROR = new ErrorObject();\n\nfunction tryCatch(callback, detail) {\n  try {\n    return callback(detail);\n  } catch (e) {\n    TRY_CATCH_ERROR.error = e;\n    return TRY_CATCH_ERROR;\n  }\n}\n\nfunction invokeCallback(settled, promise, callback, detail) {\n  var hasCallback = isFunction(callback),\n      value = undefined,\n      error = undefined,\n      succeeded = undefined,\n      failed = undefined;\n\n  if (hasCallback) {\n    value = tryCatch(callback, detail);\n\n    if (value === TRY_CATCH_ERROR) {\n      failed = true;\n      error = value.error;\n      value = null;\n    } else {\n      succeeded = true;\n    }\n\n    if (promise === value) {\n      _reject(promise, cannotReturnOwn());\n      return;\n    }\n  } else {\n    value = detail;\n    succeeded = true;\n  }\n\n  if (promise._state !== PENDING) {\n    // noop\n  } else if (hasCallback && succeeded) {\n      _resolve(promise, value);\n    } else if (failed) {\n      _reject(promise, error);\n    } else if (settled === FULFILLED) {\n      fulfill(promise, value);\n    } else if (settled === REJECTED) {\n      _reject(promise, value);\n    }\n}\n\nfunction initializePromise(promise, resolver) {\n  try {\n    resolver(function resolvePromise(value) {\n      _resolve(promise, value);\n    }, function rejectPromise(reason) {\n      _reject(promise, reason);\n    });\n  } catch (e) {\n    _reject(promise, e);\n  }\n}\n\nvar id = 0;\nfunction nextId() {\n  return id++;\n}\n\nfunction makePromise(promise) {\n  promise[PROMISE_ID] = id++;\n  promise._state = undefined;\n  promise._result = undefined;\n  promise._subscribers = [];\n}\n\nfunction Enumerator(Constructor, input) {\n  this._instanceConstructor = Constructor;\n  this.promise = new Constructor(noop);\n\n  if (!this.promise[PROMISE_ID]) {\n    makePromise(this.promise);\n  }\n\n  if (isArray(input)) {\n    this._input = input;\n    this.length = input.length;\n    this._remaining = input.length;\n\n    this._result = new Array(this.length);\n\n    if (this.length === 0) {\n      fulfill(this.promise, this._result);\n    } else {\n      this.length = this.length || 0;\n      this._enumerate();\n      if (this._remaining === 0) {\n        fulfill(this.promise, this._result);\n      }\n    }\n  } else {\n    _reject(this.promise, validationError());\n  }\n}\n\nfunction validationError() {\n  return new Error('Array Methods must be provided an Array');\n};\n\nEnumerator.prototype._enumerate = function () {\n  var length = this.length;\n  var _input = this._input;\n\n  for (var i = 0; this._state === PENDING && i < length; i++) {\n    this._eachEntry(_input[i], i);\n  }\n};\n\nEnumerator.prototype._eachEntry = function (entry, i) {\n  var c = this._instanceConstructor;\n  var resolve$$ = c.resolve;\n\n  if (resolve$$ === resolve) {\n    var _then = getThen(entry);\n\n    if (_then === then && entry._state !== PENDING) {\n      this._settledAt(entry._state, i, entry._result);\n    } else if (typeof _then !== 'function') {\n      this._remaining--;\n      this._result[i] = entry;\n    } else if (c === Promise) {\n      var promise = new c(noop);\n      handleMaybeThenable(promise, entry, _then);\n      this._willSettleAt(promise, i);\n    } else {\n      this._willSettleAt(new c(function (resolve$$) {\n        return resolve$$(entry);\n      }), i);\n    }\n  } else {\n    this._willSettleAt(resolve$$(entry), i);\n  }\n};\n\nEnumerator.prototype._settledAt = function (state, i, value) {\n  var promise = this.promise;\n\n  if (promise._state === PENDING) {\n    this._remaining--;\n\n    if (state === REJECTED) {\n      _reject(promise, value);\n    } else {\n      this._result[i] = value;\n    }\n  }\n\n  if (this._remaining === 0) {\n    fulfill(promise, this._result);\n  }\n};\n\nEnumerator.prototype._willSettleAt = function (promise, i) {\n  var enumerator = this;\n\n  subscribe(promise, undefined, function (value) {\n    return enumerator._settledAt(FULFILLED, i, value);\n  }, function (reason) {\n    return enumerator._settledAt(REJECTED, i, reason);\n  });\n};\n\n/**\n  `Promise.all` accepts an array of promises, and returns a new promise which\n  is fulfilled with an array of fulfillment values for the passed promises, or\n  rejected with the reason of the first passed promise to be rejected. It casts all\n  elements of the passed iterable to promises as it runs this algorithm.\n\n  Example:\n\n  ```javascript\n  let promise1 = resolve(1);\n  let promise2 = resolve(2);\n  let promise3 = resolve(3);\n  let promises = [ promise1, promise2, promise3 ];\n\n  Promise.all(promises).then(function(array){\n    // The array here would be [ 1, 2, 3 ];\n  });\n  ```\n\n  If any of the `promises` given to `all` are rejected, the first promise\n  that is rejected will be given as an argument to the returned promises's\n  rejection handler. For example:\n\n  Example:\n\n  ```javascript\n  let promise1 = resolve(1);\n  let promise2 = reject(new Error(\"2\"));\n  let promise3 = reject(new Error(\"3\"));\n  let promises = [ promise1, promise2, promise3 ];\n\n  Promise.all(promises).then(function(array){\n    // Code here never runs because there are rejected promises!\n  }, function(error) {\n    // error.message === \"2\"\n  });\n  ```\n\n  @method all\n  @static\n  @param {Array} entries array of promises\n  @param {String} label optional string for labeling the promise.\n  Useful for tooling.\n  @return {Promise} promise that is fulfilled when all `promises` have been\n  fulfilled, or rejected if any of them become rejected.\n  @static\n*/\nfunction all(entries) {\n  return new Enumerator(this, entries).promise;\n}\n\n/**\n  `Promise.race` returns a new promise which is settled in the same way as the\n  first passed promise to settle.\n\n  Example:\n\n  ```javascript\n  let promise1 = new Promise(function(resolve, reject){\n    setTimeout(function(){\n      resolve('promise 1');\n    }, 200);\n  });\n\n  let promise2 = new Promise(function(resolve, reject){\n    setTimeout(function(){\n      resolve('promise 2');\n    }, 100);\n  });\n\n  Promise.race([promise1, promise2]).then(function(result){\n    // result === 'promise 2' because it was resolved before promise1\n    // was resolved.\n  });\n  ```\n\n  `Promise.race` is deterministic in that only the state of the first\n  settled promise matters. For example, even if other promises given to the\n  `promises` array argument are resolved, but the first settled promise has\n  become rejected before the other promises became fulfilled, the returned\n  promise will become rejected:\n\n  ```javascript\n  let promise1 = new Promise(function(resolve, reject){\n    setTimeout(function(){\n      resolve('promise 1');\n    }, 200);\n  });\n\n  let promise2 = new Promise(function(resolve, reject){\n    setTimeout(function(){\n      reject(new Error('promise 2'));\n    }, 100);\n  });\n\n  Promise.race([promise1, promise2]).then(function(result){\n    // Code here never runs\n  }, function(reason){\n    // reason.message === 'promise 2' because promise 2 became rejected before\n    // promise 1 became fulfilled\n  });\n  ```\n\n  An example real-world use case is implementing timeouts:\n\n  ```javascript\n  Promise.race([ajax('foo.json'), timeout(5000)])\n  ```\n\n  @method race\n  @static\n  @param {Array} promises array of promises to observe\n  Useful for tooling.\n  @return {Promise} a promise which settles in the same way as the first passed\n  promise to settle.\n*/\nfunction race(entries) {\n  /*jshint validthis:true */\n  var Constructor = this;\n\n  if (!isArray(entries)) {\n    return new Constructor(function (_, reject) {\n      return reject(new TypeError('You must pass an array to race.'));\n    });\n  } else {\n    return new Constructor(function (resolve, reject) {\n      var length = entries.length;\n      for (var i = 0; i < length; i++) {\n        Constructor.resolve(entries[i]).then(resolve, reject);\n      }\n    });\n  }\n}\n\n/**\n  `Promise.reject` returns a promise rejected with the passed `reason`.\n  It is shorthand for the following:\n\n  ```javascript\n  let promise = new Promise(function(resolve, reject){\n    reject(new Error('WHOOPS'));\n  });\n\n  promise.then(function(value){\n    // Code here doesn't run because the promise is rejected!\n  }, function(reason){\n    // reason.message === 'WHOOPS'\n  });\n  ```\n\n  Instead of writing the above, your code now simply becomes the following:\n\n  ```javascript\n  let promise = Promise.reject(new Error('WHOOPS'));\n\n  promise.then(function(value){\n    // Code here doesn't run because the promise is rejected!\n  }, function(reason){\n    // reason.message === 'WHOOPS'\n  });\n  ```\n\n  @method reject\n  @static\n  @param {Any} reason value that the returned promise will be rejected with.\n  Useful for tooling.\n  @return {Promise} a promise rejected with the given `reason`.\n*/\nfunction reject(reason) {\n  /*jshint validthis:true */\n  var Constructor = this;\n  var promise = new Constructor(noop);\n  _reject(promise, reason);\n  return promise;\n}\n\nfunction needsResolver() {\n  throw new TypeError('You must pass a resolver function as the first argument to the promise constructor');\n}\n\nfunction needsNew() {\n  throw new TypeError(\"Failed to construct 'Promise': Please use the 'new' operator, this object constructor cannot be called as a function.\");\n}\n\n/**\n  Promise objects represent the eventual result of an asynchronous operation. The\n  primary way of interacting with a promise is through its `then` method, which\n  registers callbacks to receive either a promise's eventual value or the reason\n  why the promise cannot be fulfilled.\n\n  Terminology\n  -----------\n\n  - `promise` is an object or function with a `then` method whose behavior conforms to this specification.\n  - `thenable` is an object or function that defines a `then` method.\n  - `value` is any legal JavaScript value (including undefined, a thenable, or a promise).\n  - `exception` is a value that is thrown using the throw statement.\n  - `reason` is a value that indicates why a promise was rejected.\n  - `settled` the final resting state of a promise, fulfilled or rejected.\n\n  A promise can be in one of three states: pending, fulfilled, or rejected.\n\n  Promises that are fulfilled have a fulfillment value and are in the fulfilled\n  state.  Promises that are rejected have a rejection reason and are in the\n  rejected state.  A fulfillment value is never a thenable.\n\n  Promises can also be said to *resolve* a value.  If this value is also a\n  promise, then the original promise's settled state will match the value's\n  settled state.  So a promise that *resolves* a promise that rejects will\n  itself reject, and a promise that *resolves* a promise that fulfills will\n  itself fulfill.\n\n\n  Basic Usage:\n  ------------\n\n  ```js\n  let promise = new Promise(function(resolve, reject) {\n    // on success\n    resolve(value);\n\n    // on failure\n    reject(reason);\n  });\n\n  promise.then(function(value) {\n    // on fulfillment\n  }, function(reason) {\n    // on rejection\n  });\n  ```\n\n  Advanced Usage:\n  ---------------\n\n  Promises shine when abstracting away asynchronous interactions such as\n  `XMLHttpRequest`s.\n\n  ```js\n  function getJSON(url) {\n    return new Promise(function(resolve, reject){\n      let xhr = new XMLHttpRequest();\n\n      xhr.open('GET', url);\n      xhr.onreadystatechange = handler;\n      xhr.responseType = 'json';\n      xhr.setRequestHeader('Accept', 'application/json');\n      xhr.send();\n\n      function handler() {\n        if (this.readyState === this.DONE) {\n          if (this.status === 200) {\n            resolve(this.response);\n          } else {\n            reject(new Error('getJSON: `' + url + '` failed with status: [' + this.status + ']'));\n          }\n        }\n      };\n    });\n  }\n\n  getJSON('/posts.json').then(function(json) {\n    // on fulfillment\n  }, function(reason) {\n    // on rejection\n  });\n  ```\n\n  Unlike callbacks, promises are great composable primitives.\n\n  ```js\n  Promise.all([\n    getJSON('/posts'),\n    getJSON('/comments')\n  ]).then(function(values){\n    values[0] // => postsJSON\n    values[1] // => commentsJSON\n\n    return values;\n  });\n  ```\n\n  @class Promise\n  @param {function} resolver\n  Useful for tooling.\n  @constructor\n*/\nfunction Promise(resolver) {\n  this[PROMISE_ID] = nextId();\n  this._result = this._state = undefined;\n  this._subscribers = [];\n\n  if (noop !== resolver) {\n    typeof resolver !== 'function' && needsResolver();\n    this instanceof Promise ? initializePromise(this, resolver) : needsNew();\n  }\n}\n\nPromise.all = all;\nPromise.race = race;\nPromise.resolve = resolve;\nPromise.reject = reject;\nPromise._setScheduler = setScheduler;\nPromise._setAsap = setAsap;\nPromise._asap = asap;\n\nPromise.prototype = {\n  constructor: Promise,\n\n  /**\n    The primary way of interacting with a promise is through its `then` method,\n    which registers callbacks to receive either a promise's eventual value or the\n    reason why the promise cannot be fulfilled.\n  \n    ```js\n    findUser().then(function(user){\n      // user is available\n    }, function(reason){\n      // user is unavailable, and you are given the reason why\n    });\n    ```\n  \n    Chaining\n    --------\n  \n    The return value of `then` is itself a promise.  This second, 'downstream'\n    promise is resolved with the return value of the first promise's fulfillment\n    or rejection handler, or rejected if the handler throws an exception.\n  \n    ```js\n    findUser().then(function (user) {\n      return user.name;\n    }, function (reason) {\n      return 'default name';\n    }).then(function (userName) {\n      // If `findUser` fulfilled, `userName` will be the user's name, otherwise it\n      // will be `'default name'`\n    });\n  \n    findUser().then(function (user) {\n      throw new Error('Found user, but still unhappy');\n    }, function (reason) {\n      throw new Error('`findUser` rejected and we're unhappy');\n    }).then(function (value) {\n      // never reached\n    }, function (reason) {\n      // if `findUser` fulfilled, `reason` will be 'Found user, but still unhappy'.\n      // If `findUser` rejected, `reason` will be '`findUser` rejected and we're unhappy'.\n    });\n    ```\n    If the downstream promise does not specify a rejection handler, rejection reasons will be propagated further downstream.\n  \n    ```js\n    findUser().then(function (user) {\n      throw new PedagogicalException('Upstream error');\n    }).then(function (value) {\n      // never reached\n    }).then(function (value) {\n      // never reached\n    }, function (reason) {\n      // The `PedgagocialException` is propagated all the way down to here\n    });\n    ```\n  \n    Assimilation\n    ------------\n  \n    Sometimes the value you want to propagate to a downstream promise can only be\n    retrieved asynchronously. This can be achieved by returning a promise in the\n    fulfillment or rejection handler. The downstream promise will then be pending\n    until the returned promise is settled. This is called *assimilation*.\n  \n    ```js\n    findUser().then(function (user) {\n      return findCommentsByAuthor(user);\n    }).then(function (comments) {\n      // The user's comments are now available\n    });\n    ```\n  \n    If the assimliated promise rejects, then the downstream promise will also reject.\n  \n    ```js\n    findUser().then(function (user) {\n      return findCommentsByAuthor(user);\n    }).then(function (comments) {\n      // If `findCommentsByAuthor` fulfills, we'll have the value here\n    }, function (reason) {\n      // If `findCommentsByAuthor` rejects, we'll have the reason here\n    });\n    ```\n  \n    Simple Example\n    --------------\n  \n    Synchronous Example\n  \n    ```javascript\n    let result;\n  \n    try {\n      result = findResult();\n      // success\n    } catch(reason) {\n      // failure\n    }\n    ```\n  \n    Errback Example\n  \n    ```js\n    findResult(function(result, err){\n      if (err) {\n        // failure\n      } else {\n        // success\n      }\n    });\n    ```\n  \n    Promise Example;\n  \n    ```javascript\n    findResult().then(function(result){\n      // success\n    }, function(reason){\n      // failure\n    });\n    ```\n  \n    Advanced Example\n    --------------\n  \n    Synchronous Example\n  \n    ```javascript\n    let author, books;\n  \n    try {\n      author = findAuthor();\n      books  = findBooksByAuthor(author);\n      // success\n    } catch(reason) {\n      // failure\n    }\n    ```\n  \n    Errback Example\n  \n    ```js\n  \n    function foundBooks(books) {\n  \n    }\n  \n    function failure(reason) {\n  \n    }\n  \n    findAuthor(function(author, err){\n      if (err) {\n        failure(err);\n        // failure\n      } else {\n        try {\n          findBoooksByAuthor(author, function(books, err) {\n            if (err) {\n              failure(err);\n            } else {\n              try {\n                foundBooks(books);\n              } catch(reason) {\n                failure(reason);\n              }\n            }\n          });\n        } catch(error) {\n          failure(err);\n        }\n        // success\n      }\n    });\n    ```\n  \n    Promise Example;\n  \n    ```javascript\n    findAuthor().\n      then(findBooksByAuthor).\n      then(function(books){\n        // found books\n    }).catch(function(reason){\n      // something went wrong\n    });\n    ```\n  \n    @method then\n    @param {Function} onFulfilled\n    @param {Function} onRejected\n    Useful for tooling.\n    @return {Promise}\n  */\n  then: then,\n\n  /**\n    `catch` is simply sugar for `then(undefined, onRejection)` which makes it the same\n    as the catch block of a try/catch statement.\n  \n    ```js\n    function findAuthor(){\n      throw new Error('couldn't find that author');\n    }\n  \n    // synchronous\n    try {\n      findAuthor();\n    } catch(reason) {\n      // something went wrong\n    }\n  \n    // async with promises\n    findAuthor().catch(function(reason){\n      // something went wrong\n    });\n    ```\n  \n    @method catch\n    @param {Function} onRejection\n    Useful for tooling.\n    @return {Promise}\n  */\n  'catch': function _catch(onRejection) {\n    return this.then(null, onRejection);\n  }\n};\n\nfunction polyfill() {\n    var local = undefined;\n\n    if (typeof global !== 'undefined') {\n        local = global;\n    } else if (typeof self !== 'undefined') {\n        local = self;\n    } else {\n        try {\n            local = Function('return this')();\n        } catch (e) {\n            throw new Error('polyfill failed because global object is unavailable in this environment');\n        }\n    }\n\n    var P = local.Promise;\n\n    if (P) {\n        var promiseToString = null;\n        try {\n            promiseToString = Object.prototype.toString.call(P.resolve());\n        } catch (e) {\n            // silently ignored\n        }\n\n        if (promiseToString === '[object Promise]' && !P.cast) {\n            return;\n        }\n    }\n\n    local.Promise = Promise;\n}\n\npolyfill();\n// Strange compat..\nPromise.polyfill = polyfill;\nPromise.Promise = Promise;\n\nreturn Promise;\n\n})));\n\n}).call(this,_dereq_('_process'),typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {})\n},{\"_process\":465}],204:[function(_dereq_,module,exports){\n'use strict';\n\nmodule.exports = _dereq_('./is-implemented')() ? Symbol : _dereq_('./polyfill');\n\n},{\"./is-implemented\":205,\"./polyfill\":207}],205:[function(_dereq_,module,exports){\n'use strict';\n\nvar validTypes = { object: true, symbol: true };\n\nmodule.exports = function () {\n\tvar symbol;\n\tif (typeof Symbol !== 'function') return false;\n\tsymbol = Symbol('test symbol');\n\ttry { String(symbol); } catch (e) { return false; }\n\n\t// Return 'true' also for polyfills\n\tif (!validTypes[typeof Symbol.iterator]) return false;\n\tif (!validTypes[typeof Symbol.toPrimitive]) return false;\n\tif (!validTypes[typeof Symbol.toStringTag]) return false;\n\n\treturn true;\n};\n\n},{}],206:[function(_dereq_,module,exports){\n'use strict';\n\nmodule.exports = function (x) {\n\tif (!x) return false;\n\tif (typeof x === 'symbol') return true;\n\tif (!x.constructor) return false;\n\tif (x.constructor.name !== 'Symbol') return false;\n\treturn (x[x.constructor.toStringTag] === 'Symbol');\n};\n\n},{}],207:[function(_dereq_,module,exports){\n// ES2015 Symbol polyfill for environments that do not (or partially) support it\n\n'use strict';\n\nvar d              = _dereq_('d')\n  , validateSymbol = _dereq_('./validate-symbol')\n\n  , create = Object.create, defineProperties = Object.defineProperties\n  , defineProperty = Object.defineProperty, objPrototype = Object.prototype\n  , NativeSymbol, SymbolPolyfill, HiddenSymbol, globalSymbols = create(null)\n  , isNativeSafe;\n\nif (typeof Symbol === 'function') {\n\tNativeSymbol = Symbol;\n\ttry {\n\t\tString(NativeSymbol());\n\t\tisNativeSafe = true;\n\t} catch (ignore) {}\n}\n\nvar generateName = (function () {\n\tvar created = create(null);\n\treturn function (desc) {\n\t\tvar postfix = 0, name, ie11BugWorkaround;\n\t\twhile (created[desc + (postfix || '')]) ++postfix;\n\t\tdesc += (postfix || '');\n\t\tcreated[desc] = true;\n\t\tname = '@@' + desc;\n\t\tdefineProperty(objPrototype, name, d.gs(null, function (value) {\n\t\t\t// For IE11 issue see:\n\t\t\t// https://connect.microsoft.com/IE/feedbackdetail/view/1928508/\n\t\t\t//    ie11-broken-getters-on-dom-objects\n\t\t\t// https://github.com/medikoo/es6-symbol/issues/12\n\t\t\tif (ie11BugWorkaround) return;\n\t\t\tie11BugWorkaround = true;\n\t\t\tdefineProperty(this, name, d(value));\n\t\t\tie11BugWorkaround = false;\n\t\t}));\n\t\treturn name;\n\t};\n}());\n\n// Internal constructor (not one exposed) for creating Symbol instances.\n// This one is used to ensure that `someSymbol instanceof Symbol` always return false\nHiddenSymbol = function Symbol(description) {\n\tif (this instanceof HiddenSymbol) throw new TypeError('Symbol is not a constructor');\n\treturn SymbolPolyfill(description);\n};\n\n// Exposed `Symbol` constructor\n// (returns instances of HiddenSymbol)\nmodule.exports = SymbolPolyfill = function Symbol(description) {\n\tvar symbol;\n\tif (this instanceof Symbol) throw new TypeError('Symbol is not a constructor');\n\tif (isNativeSafe) return NativeSymbol(description);\n\tsymbol = create(HiddenSymbol.prototype);\n\tdescription = (description === undefined ? '' : String(description));\n\treturn defineProperties(symbol, {\n\t\t__description__: d('', description),\n\t\t__name__: d('', generateName(description))\n\t});\n};\ndefineProperties(SymbolPolyfill, {\n\tfor: d(function (key) {\n\t\tif (globalSymbols[key]) return globalSymbols[key];\n\t\treturn (globalSymbols[key] = SymbolPolyfill(String(key)));\n\t}),\n\tkeyFor: d(function (s) {\n\t\tvar key;\n\t\tvalidateSymbol(s);\n\t\tfor (key in globalSymbols) if (globalSymbols[key] === s) return key;\n\t}),\n\n\t// To ensure proper interoperability with other native functions (e.g. Array.from)\n\t// fallback to eventual native implementation of given symbol\n\thasInstance: d('', (NativeSymbol && NativeSymbol.hasInstance) || SymbolPolyfill('hasInstance')),\n\tisConcatSpreadable: d('', (NativeSymbol && NativeSymbol.isConcatSpreadable) ||\n\t\tSymbolPolyfill('isConcatSpreadable')),\n\titerator: d('', (NativeSymbol && NativeSymbol.iterator) || SymbolPolyfill('iterator')),\n\tmatch: d('', (NativeSymbol && NativeSymbol.match) || SymbolPolyfill('match')),\n\treplace: d('', (NativeSymbol && NativeSymbol.replace) || SymbolPolyfill('replace')),\n\tsearch: d('', (NativeSymbol && NativeSymbol.search) || SymbolPolyfill('search')),\n\tspecies: d('', (NativeSymbol && NativeSymbol.species) || SymbolPolyfill('species')),\n\tsplit: d('', (NativeSymbol && NativeSymbol.split) || SymbolPolyfill('split')),\n\ttoPrimitive: d('', (NativeSymbol && NativeSymbol.toPrimitive) || SymbolPolyfill('toPrimitive')),\n\ttoStringTag: d('', (NativeSymbol && NativeSymbol.toStringTag) || SymbolPolyfill('toStringTag')),\n\tunscopables: d('', (NativeSymbol && NativeSymbol.unscopables) || SymbolPolyfill('unscopables'))\n});\n\n// Internal tweaks for real symbol producer\ndefineProperties(HiddenSymbol.prototype, {\n\tconstructor: d(SymbolPolyfill),\n\ttoString: d('', function () { return this.__name__; })\n});\n\n// Proper implementation of methods exposed on Symbol.prototype\n// They won't be accessible on produced symbol instances as they derive from HiddenSymbol.prototype\ndefineProperties(SymbolPolyfill.prototype, {\n\ttoString: d(function () { return 'Symbol (' + validateSymbol(this).__description__ + ')'; }),\n\tvalueOf: d(function () { return validateSymbol(this); })\n});\ndefineProperty(SymbolPolyfill.prototype, SymbolPolyfill.toPrimitive, d('', function () {\n\tvar symbol = validateSymbol(this);\n\tif (typeof symbol === 'symbol') return symbol;\n\treturn symbol.toString();\n}));\ndefineProperty(SymbolPolyfill.prototype, SymbolPolyfill.toStringTag, d('c', 'Symbol'));\n\n// Proper implementaton of toPrimitive and toStringTag for returned symbol instances\ndefineProperty(HiddenSymbol.prototype, SymbolPolyfill.toStringTag,\n\td('c', SymbolPolyfill.prototype[SymbolPolyfill.toStringTag]));\n\n// Note: It's important to define `toPrimitive` as last one, as some implementations\n// implement `toPrimitive` natively without implementing `toStringTag` (or other specified symbols)\n// And that may invoke error in definition flow:\n// See: https://github.com/medikoo/es6-symbol/issues/13#issuecomment-164146149\ndefineProperty(HiddenSymbol.prototype, SymbolPolyfill.toPrimitive,\n\td('c', SymbolPolyfill.prototype[SymbolPolyfill.toPrimitive]));\n\n},{\"./validate-symbol\":208,\"d\":139}],208:[function(_dereq_,module,exports){\n'use strict';\n\nvar isSymbol = _dereq_('./is-symbol');\n\nmodule.exports = function (value) {\n\tif (!isSymbol(value)) throw new TypeError(value + \" is not a symbol\");\n\treturn value;\n};\n\n},{\"./is-symbol\":206}],209:[function(_dereq_,module,exports){\n'use strict';\n\nmodule.exports = _dereq_('./is-implemented')() ? WeakMap : _dereq_('./polyfill');\n\n},{\"./is-implemented\":210,\"./polyfill\":212}],210:[function(_dereq_,module,exports){\n'use strict';\n\nmodule.exports = function () {\n\tvar weakMap, x;\n\tif (typeof WeakMap !== 'function') return false;\n\ttry {\n\t\t// WebKit doesn't support arguments and crashes\n\t\tweakMap = new WeakMap([[x = {}, 'one'], [{}, 'two'], [{}, 'three']]);\n\t} catch (e) {\n\t\treturn false;\n\t}\n\tif (String(weakMap) !== '[object WeakMap]') return false;\n\tif (typeof weakMap.set !== 'function') return false;\n\tif (weakMap.set({}, 1) !== weakMap) return false;\n\tif (typeof weakMap.delete !== 'function') return false;\n\tif (typeof weakMap.has !== 'function') return false;\n\tif (weakMap.get(x) !== 'one') return false;\n\n\treturn true;\n};\n\n},{}],211:[function(_dereq_,module,exports){\n// Exports true if environment provides native `WeakMap` implementation, whatever that is.\n\n'use strict';\n\nmodule.exports = (function () {\n\tif (typeof WeakMap !== 'function') return false;\n\treturn (Object.prototype.toString.call(new WeakMap()) === '[object WeakMap]');\n}());\n\n},{}],212:[function(_dereq_,module,exports){\n'use strict';\n\nvar setPrototypeOf    = _dereq_('es5-ext/object/set-prototype-of')\n  , object            = _dereq_('es5-ext/object/valid-object')\n  , value             = _dereq_('es5-ext/object/valid-value')\n  , randomUniq        = _dereq_('es5-ext/string/random-uniq')\n  , d                 = _dereq_('d')\n  , getIterator       = _dereq_('es6-iterator/get')\n  , forOf             = _dereq_('es6-iterator/for-of')\n  , toStringTagSymbol = _dereq_('es6-symbol').toStringTag\n  , isNative          = _dereq_('./is-native-implemented')\n\n  , isArray = Array.isArray, defineProperty = Object.defineProperty\n  , hasOwnProperty = Object.prototype.hasOwnProperty, getPrototypeOf = Object.getPrototypeOf\n  , WeakMapPoly;\n\nmodule.exports = WeakMapPoly = function (/*iterable*/) {\n\tvar iterable = arguments[0], self;\n\tif (!(this instanceof WeakMapPoly)) throw new TypeError('Constructor requires \\'new\\'');\n\tif (isNative && setPrototypeOf && (WeakMap !== WeakMapPoly)) {\n\t\tself = setPrototypeOf(new WeakMap(), getPrototypeOf(this));\n\t} else {\n\t\tself = this;\n\t}\n\tif (iterable != null) {\n\t\tif (!isArray(iterable)) iterable = getIterator(iterable);\n\t}\n\tdefineProperty(self, '__weakMapData__', d('c', '$weakMap$' + randomUniq()));\n\tif (!iterable) return self;\n\tforOf(iterable, function (val) {\n\t\tvalue(val);\n\t\tself.set(val[0], val[1]);\n\t});\n\treturn self;\n};\n\nif (isNative) {\n\tif (setPrototypeOf) setPrototypeOf(WeakMapPoly, WeakMap);\n\tWeakMapPoly.prototype = Object.create(WeakMap.prototype, {\n\t\tconstructor: d(WeakMapPoly)\n\t});\n}\n\nObject.defineProperties(WeakMapPoly.prototype, {\n\tdelete: d(function (key) {\n\t\tif (hasOwnProperty.call(object(key), this.__weakMapData__)) {\n\t\t\tdelete key[this.__weakMapData__];\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}),\n\tget: d(function (key) {\n\t\tif (hasOwnProperty.call(object(key), this.__weakMapData__)) {\n\t\t\treturn key[this.__weakMapData__];\n\t\t}\n\t}),\n\thas: d(function (key) {\n\t\treturn hasOwnProperty.call(object(key), this.__weakMapData__);\n\t}),\n\tset: d(function (key, value) {\n\t\tdefineProperty(object(key), this.__weakMapData__, d('c', value));\n\t\treturn this;\n\t}),\n\ttoString: d(function () { return '[object WeakMap]'; })\n});\ndefineProperty(WeakMapPoly.prototype, toStringTagSymbol, d('c', 'WeakMap'));\n\n},{\"./is-native-implemented\":211,\"d\":139,\"es5-ext/object/set-prototype-of\":185,\"es5-ext/object/valid-object\":189,\"es5-ext/object/valid-value\":190,\"es5-ext/string/random-uniq\":195,\"es6-iterator/for-of\":197,\"es6-iterator/get\":198,\"es6-symbol\":204}],213:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = extractPlanes\n\nfunction extractPlanes(M, zNear, zFar) {\n  var z  = zNear || 0.0\n  var zf = zFar || 1.0\n  return [\n    [ M[12] + M[0], M[13] + M[1], M[14] + M[2], M[15] + M[3] ],\n    [ M[12] - M[0], M[13] - M[1], M[14] - M[2], M[15] - M[3] ],\n    [ M[12] + M[4], M[13] + M[5], M[14] + M[6], M[15] + M[7] ],\n    [ M[12] - M[4], M[13] - M[5], M[14] - M[6], M[15] - M[7] ],\n    [ z*M[12] + M[8], z*M[13] + M[9], z*M[14] + M[10], z*M[15] + M[11] ],\n    [ zf*M[12] - M[8], zf*M[13] - M[9], zf*M[14] - M[10], zf*M[15] - M[11] ]\n  ]\n}\n},{}],214:[function(_dereq_,module,exports){\n/**\r\n * inspired by is-number <https://github.com/jonschlinkert/is-number>\r\n * but significantly simplified and sped up by ignoring number and string constructors\r\n * ie these return false:\r\n *   new Number(1)\r\n *   new String('1')\r\n */\r\n\r\n'use strict';\r\n\r\nvar allBlankCharCodes = _dereq_('is-string-blank');\r\n\r\nmodule.exports = function(n) {\r\n    var type = typeof n;\r\n    if(type === 'string') {\r\n        var original = n;\r\n        n = +n;\r\n        // whitespace strings cast to zero - filter them out\r\n        if(n===0 && allBlankCharCodes(original)) return false;\r\n    }\r\n    else if(type !== 'number') return false;\r\n\r\n    return n - n < 1;\r\n};\r\n\n},{\"is-string-blank\":406}],215:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = createFilteredVector\n\nvar cubicHermite = _dereq_('cubic-hermite')\nvar bsearch = _dereq_('binary-search-bounds')\n\nfunction clamp(lo, hi, x) {\n  return Math.min(hi, Math.max(lo, x))\n}\n\nfunction FilteredVector(state0, velocity0, t0) {\n  this.dimension  = state0.length\n  this.bounds     = [ new Array(this.dimension), new Array(this.dimension) ]\n  for(var i=0; i<this.dimension; ++i) {\n    this.bounds[0][i] = -Infinity\n    this.bounds[1][i] = Infinity\n  }\n  this._state     = state0.slice().reverse()\n  this._velocity  = velocity0.slice().reverse()\n  this._time      = [ t0 ]\n  this._scratch   = [ state0.slice(), state0.slice(), state0.slice(), state0.slice(), state0.slice() ]\n}\n\nvar proto = FilteredVector.prototype\n\nproto.flush = function(t) {\n  var idx = bsearch.gt(this._time, t) - 1\n  if(idx <= 0) {\n    return\n  }\n  this._time.splice(0, idx)\n  this._state.splice(0, idx * this.dimension)\n  this._velocity.splice(0, idx * this.dimension)\n}\n\nproto.curve = function(t) {\n  var time      = this._time\n  var n         = time.length\n  var idx       = bsearch.le(time, t)\n  var result    = this._scratch[0]\n  var state     = this._state\n  var velocity  = this._velocity\n  var d         = this.dimension\n  var bounds    = this.bounds\n  if(idx < 0) {\n    var ptr = d-1\n    for(var i=0; i<d; ++i, --ptr) {\n      result[i] = state[ptr]\n    }\n  } else if(idx >= n-1) {\n    var ptr = state.length-1\n    var tf = t - time[n-1]\n    for(var i=0; i<d; ++i, --ptr) {\n      result[i] = state[ptr] + tf * velocity[ptr]\n    }\n  } else {\n    var ptr = d * (idx+1) - 1\n    var t0  = time[idx]\n    var t1  = time[idx+1]\n    var dt  = (t1 - t0) || 1.0\n    var x0  = this._scratch[1]\n    var x1  = this._scratch[2]\n    var v0  = this._scratch[3]\n    var v1  = this._scratch[4]\n    var steady = true\n    for(var i=0; i<d; ++i, --ptr) {\n      x0[i] = state[ptr]\n      v0[i] = velocity[ptr] * dt\n      x1[i] = state[ptr+d]\n      v1[i] = velocity[ptr+d] * dt\n      steady = steady && (x0[i] === x1[i] && v0[i] === v1[i] && v0[i] === 0.0)\n    }\n    if(steady) {\n      for(var i=0; i<d; ++i) {\n        result[i] = x0[i]\n      }\n    } else {\n      cubicHermite(x0, v0, x1, v1, (t-t0)/dt, result)\n    }\n  }\n  var lo = bounds[0]\n  var hi = bounds[1]\n  for(var i=0; i<d; ++i) {\n    result[i] = clamp(lo[i], hi[i], result[i])\n  }\n  return result\n}\n\nproto.dcurve = function(t) {\n  var time     = this._time\n  var n        = time.length\n  var idx      = bsearch.le(time, t)\n  var result   = this._scratch[0]\n  var state    = this._state\n  var velocity = this._velocity\n  var d        = this.dimension\n  if(idx >= n-1) {\n    var ptr = state.length-1\n    var tf = t - time[n-1]\n    for(var i=0; i<d; ++i, --ptr) {\n      result[i] = velocity[ptr]\n    }\n  } else {\n    var ptr = d * (idx+1) - 1\n    var t0 = time[idx]\n    var t1 = time[idx+1]\n    var dt = (t1 - t0) || 1.0\n    var x0 = this._scratch[1]\n    var x1 = this._scratch[2]\n    var v0 = this._scratch[3]\n    var v1 = this._scratch[4]\n    var steady = true\n    for(var i=0; i<d; ++i, --ptr) {\n      x0[i] = state[ptr]\n      v0[i] = velocity[ptr] * dt\n      x1[i] = state[ptr+d]\n      v1[i] = velocity[ptr+d] * dt\n      steady = steady && (x0[i] === x1[i] && v0[i] === v1[i] && v0[i] === 0.0)\n    }\n    if(steady) {\n      for(var i=0; i<d; ++i) {\n        result[i] = 0.0\n      }\n    } else {\n      cubicHermite.derivative(x0, v0, x1, v1, (t-t0)/dt, result)\n      for(var i=0; i<d; ++i) {\n        result[i] /= dt\n      }\n    }\n  }\n  return result\n}\n\nproto.lastT = function() {\n  var time = this._time\n  return time[time.length-1]\n}\n\nproto.stable = function() {\n  var velocity = this._velocity\n  var ptr = velocity.length\n  for(var i=this.dimension-1; i>=0; --i) {\n    if(velocity[--ptr]) {\n      return false\n    }\n  }\n  return true\n}\n\nproto.jump = function(t) {\n  var t0 = this.lastT()\n  var d  = this.dimension\n  if(t < t0 || arguments.length !== d+1) {\n    return\n  }\n  var state     = this._state\n  var velocity  = this._velocity\n  var ptr       = state.length-this.dimension\n  var bounds    = this.bounds\n  var lo        = bounds[0]\n  var hi        = bounds[1]\n  this._time.push(t0, t)\n  for(var j=0; j<2; ++j) {\n    for(var i=0; i<d; ++i) {\n      state.push(state[ptr++])\n      velocity.push(0)\n    }\n  }\n  this._time.push(t)\n  for(var i=d; i>0; --i) {\n    state.push(clamp(lo[i-1], hi[i-1], arguments[i]))\n    velocity.push(0)\n  }\n}\n\nproto.push = function(t) {\n  var t0 = this.lastT()\n  var d  = this.dimension\n  if(t < t0 || arguments.length !== d+1) {\n    return\n  }\n  var state     = this._state\n  var velocity  = this._velocity\n  var ptr       = state.length-this.dimension\n  var dt        = t - t0\n  var bounds    = this.bounds\n  var lo        = bounds[0]\n  var hi        = bounds[1]\n  var sf        = (dt > 1e-6) ? 1/dt : 0\n  this._time.push(t)\n  for(var i=d; i>0; --i) {\n    var xc = clamp(lo[i-1], hi[i-1], arguments[i])\n    state.push(xc)\n    velocity.push((xc - state[ptr++]) * sf)\n  }\n}\n\nproto.set = function(t) {\n  var d = this.dimension\n  if(t < this.lastT() || arguments.length !== d+1) {\n    return\n  }\n  var state     = this._state\n  var velocity  = this._velocity\n  var bounds    = this.bounds\n  var lo        = bounds[0]\n  var hi        = bounds[1]\n  this._time.push(t)\n  for(var i=d; i>0; --i) {\n    state.push(clamp(lo[i-1], hi[i-1], arguments[i]))\n    velocity.push(0)\n  }\n}\n\nproto.move = function(t) {\n  var t0 = this.lastT()\n  var d  = this.dimension\n  if(t <= t0 || arguments.length !== d+1) {\n    return\n  }\n  var state    = this._state\n  var velocity = this._velocity\n  var statePtr = state.length - this.dimension\n  var bounds   = this.bounds\n  var lo       = bounds[0]\n  var hi       = bounds[1]\n  var dt       = t - t0\n  var sf       = (dt > 1e-6) ? 1/dt : 0.0\n  this._time.push(t)\n  for(var i=d; i>0; --i) {\n    var dx = arguments[i]\n    state.push(clamp(lo[i-1], hi[i-1], state[statePtr++] + dx))\n    velocity.push(dx * sf)\n  }\n}\n\nproto.idle = function(t) {\n  var t0 = this.lastT()\n  if(t < t0) {\n    return\n  }\n  var d        = this.dimension\n  var state    = this._state\n  var velocity = this._velocity\n  var statePtr = state.length-d\n  var bounds   = this.bounds\n  var lo       = bounds[0]\n  var hi       = bounds[1]\n  var dt       = t - t0\n  this._time.push(t)\n  for(var i=d-1; i>=0; --i) {\n    state.push(clamp(lo[i], hi[i], state[statePtr] + dt * velocity[statePtr]))\n    velocity.push(0)\n    statePtr += 1\n  }\n}\n\nfunction getZero(d) {\n  var result = new Array(d)\n  for(var i=0; i<d; ++i) {\n    result[i] = 0.0\n  }\n  return result\n}\n\nfunction createFilteredVector(initState, initVelocity, initTime) {\n  switch(arguments.length) {\n    case 0:\n      return new FilteredVector([0], [0], 0)\n    case 1:\n      if(typeof initState === 'number') {\n        var zero = getZero(initState)\n        return new FilteredVector(zero, zero, 0)\n      } else {\n        return new FilteredVector(initState, getZero(initState.length), 0)\n      }\n    case 2:\n      if(typeof initVelocity === 'number') {\n        var zero = getZero(initState.length)\n        return new FilteredVector(initState, zero, +initVelocity)\n      } else {\n        initTime = 0\n      }\n    case 3:\n      if(initState.length !== initVelocity.length) {\n        throw new Error('state and velocity lengths must match')\n      }\n      return new FilteredVector(initState, initVelocity, initTime)\n  }\n}\n\n},{\"binary-search-bounds\":79,\"cubic-hermite\":133}],216:[function(_dereq_,module,exports){\n/*eslint new-cap:0*/\nvar dtype = _dereq_('dtype')\n\nmodule.exports = flattenVertexData\n\nfunction flattenVertexData (data, output, offset) {\n  if (!data) throw new TypeError('must specify data as first parameter')\n  offset = +(offset || 0) | 0\n\n  if (Array.isArray(data) && (data[0] && typeof data[0][0] === 'number')) {\n    var dim = data[0].length\n    var length = data.length * dim\n    var i, j, k, l\n\n    // no output specified, create a new typed array\n    if (!output || typeof output === 'string') {\n      output = new (dtype(output || 'float32'))(length + offset)\n    }\n\n    var dstLength = output.length - offset\n    if (length !== dstLength) {\n      throw new Error('source length ' + length + ' (' + dim + 'x' + data.length + ')' +\n        ' does not match destination length ' + dstLength)\n    }\n\n    for (i = 0, k = offset; i < data.length; i++) {\n      for (j = 0; j < dim; j++) {\n        output[k++] = data[i][j] === null ? NaN : data[i][j]\n      }\n    }\n  } else {\n    if (!output || typeof output === 'string') {\n      // no output, create a new one\n      var Ctor = dtype(output || 'float32')\n\n      // handle arrays separately due to possible nulls\n      if (Array.isArray(data) || output === 'array') {\n        output = new Ctor(data.length + offset)\n        for (i = 0, k = offset, l = output.length; k < l; k++, i++) {\n          output[k] = data[i] === null ? NaN : data[i]\n        }\n      } else {\n        if (offset === 0) {\n          output = new Ctor(data)\n        } else {\n          output = new Ctor(data.length + offset)\n\n          output.set(data, offset)\n        }\n      }\n    } else {\n      // store output in existing array\n      output.set(data, offset)\n    }\n  }\n\n  return output\n}\n\n},{\"dtype\":154}],217:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar stringifyFont = _dereq_('css-font/stringify')\r\nvar defaultChars = [32, 126]\r\n\r\nmodule.exports = atlas\r\n\r\nfunction atlas(options) {\r\n  options = options || {}\r\n\r\n  var shape  = options.shape ? options.shape : options.canvas ? [options.canvas.width, options.canvas.height] : [512, 512]\r\n  var canvas = options.canvas || document.createElement('canvas')\r\n  var font   = options.font\r\n  var step   = typeof options.step === 'number' ? [options.step, options.step] : options.step || [32, 32]\r\n  var chars  = options.chars || defaultChars\r\n\r\n  if (font && typeof font !== 'string') font = stringifyFont(font)\r\n\r\n  if (!Array.isArray(chars)) {\r\n    chars = String(chars).split('')\r\n  } else\r\n  if (chars.length === 2\r\n    && typeof chars[0] === 'number'\r\n    && typeof chars[1] === 'number'\r\n  ) {\r\n    var newchars = []\r\n\r\n    for (var i = chars[0], j = 0; i <= chars[1]; i++) {\r\n      newchars[j++] = String.fromCharCode(i)\r\n    }\r\n\r\n    chars = newchars\r\n  }\r\n\r\n  shape = shape.slice()\r\n  canvas.width  = shape[0]\r\n  canvas.height = shape[1]\r\n\r\n  var ctx = canvas.getContext('2d')\r\n\r\n  ctx.fillStyle = '#000'\r\n  ctx.fillRect(0, 0, canvas.width, canvas.height)\r\n\r\n  ctx.font = font\r\n  ctx.textAlign = 'center'\r\n  ctx.textBaseline = 'middle'\r\n  ctx.fillStyle = '#fff'\r\n\r\n  var x = step[0] / 2\r\n  var y = step[1] / 2\r\n  for (var i = 0; i < chars.length; i++) {\r\n    ctx.fillText(chars[i], x, y)\r\n    if ((x += step[0]) > shape[0] - step[0]/2) (x = step[0]/2), (y += step[1])\r\n  }\r\n\r\n  return canvas\r\n}\r\n\n},{\"css-font/stringify\":130}],218:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = measure\r\n\r\nmeasure.canvas = document.createElement('canvas')\r\nmeasure.cache = {}\r\n\r\nfunction measure (font, o) {\r\n\tif (!o) o = {}\r\n\r\n\tif (typeof font === 'string' || Array.isArray(font)) {\r\n\t\to.family = font\r\n\t}\r\n\r\n\tvar family = Array.isArray(o.family) ? o.family.join(', ') : o.family\r\n\tif (!family) throw Error('`family` must be defined')\r\n\r\n\tvar fs = o.size || o.fontSize || o.em || 48\r\n\tvar weight = o.weight || o.fontWeight || ''\r\n\tvar style = o.style || o.fontStyle || ''\r\n\tvar font = [style, weight, fs].join(' ') + 'px ' + family\r\n\tvar origin = o.origin || 'top'\r\n\r\n\tif (measure.cache[family]) {\r\n\t\t// return more precise values if cache has them\r\n\t\tif (fs <= measure.cache[family].em) {\r\n\t\t\treturn applyOrigin(measure.cache[family], origin)\r\n\t\t}\r\n\t}\r\n\r\n\tvar canvas = o.canvas || measure.canvas\r\n\tvar ctx = canvas.getContext('2d')\r\n\tvar chars = {\r\n\t\tupper: o.upper !== undefined ? o.upper : 'H',\r\n\t\tlower: o.lower !== undefined ? o.lower : 'x',\r\n\t\tdescent: o.descent !== undefined ? o.descent : 'p',\r\n\t\tascent: o.ascent !== undefined ? o.ascent : 'h',\r\n\t\ttittle: o.tittle !== undefined ? o.tittle : 'i',\r\n\t\tovershoot: o.overshoot !== undefined ? o.overshoot : 'O'\r\n\t}\r\n\tvar l = Math.ceil(fs * 1.5)\r\n\tcanvas.height = l\r\n\tcanvas.width = l * .5\r\n\tctx.font = font\r\n\r\n\tvar char = 'H'\r\n\tvar result = {\r\n\t\ttop: 0\r\n\t}\r\n\r\n\t// measure line-height\r\n\tctx.clearRect(0, 0, l, l)\r\n\tctx.textBaseline = 'top'\r\n\tctx.fillStyle = 'black'\r\n\tctx.fillText(char, 0, 0)\r\n\tvar topPx = firstTop(ctx.getImageData(0, 0, l, l))\r\n\tctx.clearRect(0, 0, l, l)\r\n\tctx.textBaseline = 'bottom'\r\n\tctx.fillText(char, 0, l)\r\n\tvar bottomPx = firstTop(ctx.getImageData(0, 0, l, l))\r\n\tresult.lineHeight =\r\n\tresult.bottom = l - bottomPx + topPx\r\n\r\n\t// measure baseline\r\n\tctx.clearRect(0, 0, l, l)\r\n\tctx.textBaseline = 'alphabetic'\r\n\tctx.fillText(char, 0, l)\r\n\tvar baselinePx = firstTop(ctx.getImageData(0, 0, l, l))\r\n\tvar baseline = l - baselinePx - 1 + topPx\r\n\tresult.baseline =\r\n\tresult.alphabetic = baseline\r\n\r\n\t// measure median\r\n\tctx.clearRect(0, 0, l, l)\r\n\tctx.textBaseline = 'middle'\r\n\tctx.fillText(char, 0, l * .5)\r\n\tvar medianPx = firstTop(ctx.getImageData(0, 0, l, l))\r\n\tresult.median =\r\n\tresult.middle = l - medianPx - 1 + topPx - l * .5\r\n\r\n\t// measure hanging\r\n\tctx.clearRect(0, 0, l, l)\r\n\tctx.textBaseline = 'hanging'\r\n\tctx.fillText(char, 0, l * .5)\r\n\tvar hangingPx = firstTop(ctx.getImageData(0, 0, l, l))\r\n\tresult.hanging = l - hangingPx - 1 + topPx - l * .5\r\n\r\n\t// measure ideographic\r\n\tctx.clearRect(0, 0, l, l)\r\n\tctx.textBaseline = 'ideographic'\r\n\tctx.fillText(char, 0, l)\r\n\tvar ideographicPx = firstTop(ctx.getImageData(0, 0, l, l))\r\n\tresult.ideographic = l - ideographicPx - 1 + topPx\r\n\r\n\t// measure cap\r\n\tif (chars.upper) {\r\n\t\tctx.clearRect(0, 0, l, l)\r\n\t\tctx.textBaseline = 'top'\r\n\t\tctx.fillText(chars.upper, 0, 0)\r\n\t\tresult.upper = firstTop(ctx.getImageData(0, 0, l, l))\r\n\t\tresult.capHeight = (result.baseline - result.upper)\r\n\t}\r\n\r\n\t// measure x\r\n\tif (chars.lower) {\r\n\t\tctx.clearRect(0, 0, l, l)\r\n\t\tctx.textBaseline = 'top'\r\n\t\tctx.fillText(chars.lower, 0, 0)\r\n\t\tresult.lower = firstTop(ctx.getImageData(0, 0, l, l))\r\n\t\tresult.xHeight = (result.baseline - result.lower)\r\n\t}\r\n\r\n\t// measure tittle\r\n\tif (chars.tittle) {\r\n\t\tctx.clearRect(0, 0, l, l)\r\n\t\tctx.textBaseline = 'top'\r\n\t\tctx.fillText(chars.tittle, 0, 0)\r\n\t\tresult.tittle = firstTop(ctx.getImageData(0, 0, l, l))\r\n\t}\r\n\r\n\t// measure ascent\r\n\tif (chars.ascent) {\r\n\t\tctx.clearRect(0, 0, l, l)\r\n\t\tctx.textBaseline = 'top'\r\n\t\tctx.fillText(chars.ascent, 0, 0)\r\n\t\tresult.ascent = firstTop(ctx.getImageData(0, 0, l, l))\r\n\t}\r\n\r\n\t// measure descent\r\n\tif (chars.descent) {\r\n\t\tctx.clearRect(0, 0, l, l)\r\n\t\tctx.textBaseline = 'top'\r\n\t\tctx.fillText(chars.descent, 0, 0)\r\n\t\tresult.descent = firstBottom(ctx.getImageData(0, 0, l, l))\r\n\t}\r\n\r\n\t// measure overshoot\r\n\tif (chars.overshoot) {\r\n\t\tctx.clearRect(0, 0, l, l)\r\n\t\tctx.textBaseline = 'top'\r\n\t\tctx.fillText(chars.overshoot, 0, 0)\r\n\t\tvar overshootPx = firstBottom(ctx.getImageData(0, 0, l, l))\r\n\t\tresult.overshoot = overshootPx - baseline\r\n\t}\r\n\r\n\t// normalize result\r\n\tfor (var name in result) {\r\n\t\tresult[name] /= fs\r\n\t}\r\n\r\n\tresult.em = fs\r\n\tmeasure.cache[family] = result\r\n\r\n\treturn applyOrigin(result, origin)\r\n}\r\n\r\nfunction applyOrigin(obj, origin) {\r\n\tvar res = {}\r\n\tif (typeof origin === 'string') origin = obj[origin]\r\n\tfor (var name in obj) {\r\n\t\tif (name === 'em') continue\r\n\t\tres[name] = obj[name] - origin\r\n\t}\r\n\treturn res\r\n}\r\n\r\nfunction firstTop(iData) {\r\n\tvar l = iData.height\r\n\tvar data = iData.data\r\n\tfor (var i = 3; i < data.length; i+=4) {\r\n\t\tif (data[i] !== 0) {\r\n\t\t\treturn Math.floor((i - 3) *.25 / l)\r\n\t\t}\r\n\t}\r\n}\r\n\r\nfunction firstBottom(iData) {\r\n\tvar l = iData.height\r\n\tvar data = iData.data\r\n\tfor (var i = data.length - 1; i > 0; i -= 4) {\r\n\t\tif (data[i] !== 0) {\r\n\t\t\treturn Math.floor((i - 3) *.25 / l)\r\n\t\t}\r\n\t}\r\n}\r\n\n},{}],219:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = createRBTree\n\nvar RED   = 0\nvar BLACK = 1\n\nfunction RBNode(color, key, value, left, right, count) {\n  this._color = color\n  this.key = key\n  this.value = value\n  this.left = left\n  this.right = right\n  this._count = count\n}\n\nfunction cloneNode(node) {\n  return new RBNode(node._color, node.key, node.value, node.left, node.right, node._count)\n}\n\nfunction repaint(color, node) {\n  return new RBNode(color, node.key, node.value, node.left, node.right, node._count)\n}\n\nfunction recount(node) {\n  node._count = 1 + (node.left ? node.left._count : 0) + (node.right ? node.right._count : 0)\n}\n\nfunction RedBlackTree(compare, root) {\n  this._compare = compare\n  this.root = root\n}\n\nvar proto = RedBlackTree.prototype\n\nObject.defineProperty(proto, \"keys\", {\n  get: function() {\n    var result = []\n    this.forEach(function(k,v) {\n      result.push(k)\n    })\n    return result\n  }\n})\n\nObject.defineProperty(proto, \"values\", {\n  get: function() {\n    var result = []\n    this.forEach(function(k,v) {\n      result.push(v)\n    })\n    return result\n  }\n})\n\n//Returns the number of nodes in the tree\nObject.defineProperty(proto, \"length\", {\n  get: function() {\n    if(this.root) {\n      return this.root._count\n    }\n    return 0\n  }\n})\n\n//Insert a new item into the tree\nproto.insert = function(key, value) {\n  var cmp = this._compare\n  //Find point to insert new node at\n  var n = this.root\n  var n_stack = []\n  var d_stack = []\n  while(n) {\n    var d = cmp(key, n.key)\n    n_stack.push(n)\n    d_stack.push(d)\n    if(d <= 0) {\n      n = n.left\n    } else {\n      n = n.right\n    }\n  }\n  //Rebuild path to leaf node\n  n_stack.push(new RBNode(RED, key, value, null, null, 1))\n  for(var s=n_stack.length-2; s>=0; --s) {\n    var n = n_stack[s]\n    if(d_stack[s] <= 0) {\n      n_stack[s] = new RBNode(n._color, n.key, n.value, n_stack[s+1], n.right, n._count+1)\n    } else {\n      n_stack[s] = new RBNode(n._color, n.key, n.value, n.left, n_stack[s+1], n._count+1)\n    }\n  }\n  //Rebalance tree using rotations\n  //console.log(\"start insert\", key, d_stack)\n  for(var s=n_stack.length-1; s>1; --s) {\n    var p = n_stack[s-1]\n    var n = n_stack[s]\n    if(p._color === BLACK || n._color === BLACK) {\n      break\n    }\n    var pp = n_stack[s-2]\n    if(pp.left === p) {\n      if(p.left === n) {\n        var y = pp.right\n        if(y && y._color === RED) {\n          //console.log(\"LLr\")\n          p._color = BLACK\n          pp.right = repaint(BLACK, y)\n          pp._color = RED\n          s -= 1\n        } else {\n          //console.log(\"LLb\")\n          pp._color = RED\n          pp.left = p.right\n          p._color = BLACK\n          p.right = pp\n          n_stack[s-2] = p\n          n_stack[s-1] = n\n          recount(pp)\n          recount(p)\n          if(s >= 3) {\n            var ppp = n_stack[s-3]\n            if(ppp.left === pp) {\n              ppp.left = p\n            } else {\n              ppp.right = p\n            }\n          }\n          break\n        }\n      } else {\n        var y = pp.right\n        if(y && y._color === RED) {\n          //console.log(\"LRr\")\n          p._color = BLACK\n          pp.right = repaint(BLACK, y)\n          pp._color = RED\n          s -= 1\n        } else {\n          //console.log(\"LRb\")\n          p.right = n.left\n          pp._color = RED\n          pp.left = n.right\n          n._color = BLACK\n          n.left = p\n          n.right = pp\n          n_stack[s-2] = n\n          n_stack[s-1] = p\n          recount(pp)\n          recount(p)\n          recount(n)\n          if(s >= 3) {\n            var ppp = n_stack[s-3]\n            if(ppp.left === pp) {\n              ppp.left = n\n            } else {\n              ppp.right = n\n            }\n          }\n          break\n        }\n      }\n    } else {\n      if(p.right === n) {\n        var y = pp.left\n        if(y && y._color === RED) {\n          //console.log(\"RRr\", y.key)\n          p._color = BLACK\n          pp.left = repaint(BLACK, y)\n          pp._color = RED\n          s -= 1\n        } else {\n          //console.log(\"RRb\")\n          pp._color = RED\n          pp.right = p.left\n          p._color = BLACK\n          p.left = pp\n          n_stack[s-2] = p\n          n_stack[s-1] = n\n          recount(pp)\n          recount(p)\n          if(s >= 3) {\n            var ppp = n_stack[s-3]\n            if(ppp.right === pp) {\n              ppp.right = p\n            } else {\n              ppp.left = p\n            }\n          }\n          break\n        }\n      } else {\n        var y = pp.left\n        if(y && y._color === RED) {\n          //console.log(\"RLr\")\n          p._color = BLACK\n          pp.left = repaint(BLACK, y)\n          pp._color = RED\n          s -= 1\n        } else {\n          //console.log(\"RLb\")\n          p.left = n.right\n          pp._color = RED\n          pp.right = n.left\n          n._color = BLACK\n          n.right = p\n          n.left = pp\n          n_stack[s-2] = n\n          n_stack[s-1] = p\n          recount(pp)\n          recount(p)\n          recount(n)\n          if(s >= 3) {\n            var ppp = n_stack[s-3]\n            if(ppp.right === pp) {\n              ppp.right = n\n            } else {\n              ppp.left = n\n            }\n          }\n          break\n        }\n      }\n    }\n  }\n  //Return new tree\n  n_stack[0]._color = BLACK\n  return new RedBlackTree(cmp, n_stack[0])\n}\n\n\n//Visit all nodes inorder\nfunction doVisitFull(visit, node) {\n  if(node.left) {\n    var v = doVisitFull(visit, node.left)\n    if(v) { return v }\n  }\n  var v = visit(node.key, node.value)\n  if(v) { return v }\n  if(node.right) {\n    return doVisitFull(visit, node.right)\n  }\n}\n\n//Visit half nodes in order\nfunction doVisitHalf(lo, compare, visit, node) {\n  var l = compare(lo, node.key)\n  if(l <= 0) {\n    if(node.left) {\n      var v = doVisitHalf(lo, compare, visit, node.left)\n      if(v) { return v }\n    }\n    var v = visit(node.key, node.value)\n    if(v) { return v }\n  }\n  if(node.right) {\n    return doVisitHalf(lo, compare, visit, node.right)\n  }\n}\n\n//Visit all nodes within a range\nfunction doVisit(lo, hi, compare, visit, node) {\n  var l = compare(lo, node.key)\n  var h = compare(hi, node.key)\n  var v\n  if(l <= 0) {\n    if(node.left) {\n      v = doVisit(lo, hi, compare, visit, node.left)\n      if(v) { return v }\n    }\n    if(h > 0) {\n      v = visit(node.key, node.value)\n      if(v) { return v }\n    }\n  }\n  if(h > 0 && node.right) {\n    return doVisit(lo, hi, compare, visit, node.right)\n  }\n}\n\n\nproto.forEach = function rbTreeForEach(visit, lo, hi) {\n  if(!this.root) {\n    return\n  }\n  switch(arguments.length) {\n    case 1:\n      return doVisitFull(visit, this.root)\n    break\n\n    case 2:\n      return doVisitHalf(lo, this._compare, visit, this.root)\n    break\n\n    case 3:\n      if(this._compare(lo, hi) >= 0) {\n        return\n      }\n      return doVisit(lo, hi, this._compare, visit, this.root)\n    break\n  }\n}\n\n//First item in list\nObject.defineProperty(proto, \"begin\", {\n  get: function() {\n    var stack = []\n    var n = this.root\n    while(n) {\n      stack.push(n)\n      n = n.left\n    }\n    return new RedBlackTreeIterator(this, stack)\n  }\n})\n\n//Last item in list\nObject.defineProperty(proto, \"end\", {\n  get: function() {\n    var stack = []\n    var n = this.root\n    while(n) {\n      stack.push(n)\n      n = n.right\n    }\n    return new RedBlackTreeIterator(this, stack)\n  }\n})\n\n//Find the ith item in the tree\nproto.at = function(idx) {\n  if(idx < 0) {\n    return new RedBlackTreeIterator(this, [])\n  }\n  var n = this.root\n  var stack = []\n  while(true) {\n    stack.push(n)\n    if(n.left) {\n      if(idx < n.left._count) {\n        n = n.left\n        continue\n      }\n      idx -= n.left._count\n    }\n    if(!idx) {\n      return new RedBlackTreeIterator(this, stack)\n    }\n    idx -= 1\n    if(n.right) {\n      if(idx >= n.right._count) {\n        break\n      }\n      n = n.right\n    } else {\n      break\n    }\n  }\n  return new RedBlackTreeIterator(this, [])\n}\n\nproto.ge = function(key) {\n  var cmp = this._compare\n  var n = this.root\n  var stack = []\n  var last_ptr = 0\n  while(n) {\n    var d = cmp(key, n.key)\n    stack.push(n)\n    if(d <= 0) {\n      last_ptr = stack.length\n    }\n    if(d <= 0) {\n      n = n.left\n    } else {\n      n = n.right\n    }\n  }\n  stack.length = last_ptr\n  return new RedBlackTreeIterator(this, stack)\n}\n\nproto.gt = function(key) {\n  var cmp = this._compare\n  var n = this.root\n  var stack = []\n  var last_ptr = 0\n  while(n) {\n    var d = cmp(key, n.key)\n    stack.push(n)\n    if(d < 0) {\n      last_ptr = stack.length\n    }\n    if(d < 0) {\n      n = n.left\n    } else {\n      n = n.right\n    }\n  }\n  stack.length = last_ptr\n  return new RedBlackTreeIterator(this, stack)\n}\n\nproto.lt = function(key) {\n  var cmp = this._compare\n  var n = this.root\n  var stack = []\n  var last_ptr = 0\n  while(n) {\n    var d = cmp(key, n.key)\n    stack.push(n)\n    if(d > 0) {\n      last_ptr = stack.length\n    }\n    if(d <= 0) {\n      n = n.left\n    } else {\n      n = n.right\n    }\n  }\n  stack.length = last_ptr\n  return new RedBlackTreeIterator(this, stack)\n}\n\nproto.le = function(key) {\n  var cmp = this._compare\n  var n = this.root\n  var stack = []\n  var last_ptr = 0\n  while(n) {\n    var d = cmp(key, n.key)\n    stack.push(n)\n    if(d >= 0) {\n      last_ptr = stack.length\n    }\n    if(d < 0) {\n      n = n.left\n    } else {\n      n = n.right\n    }\n  }\n  stack.length = last_ptr\n  return new RedBlackTreeIterator(this, stack)\n}\n\n//Finds the item with key if it exists\nproto.find = function(key) {\n  var cmp = this._compare\n  var n = this.root\n  var stack = []\n  while(n) {\n    var d = cmp(key, n.key)\n    stack.push(n)\n    if(d === 0) {\n      return new RedBlackTreeIterator(this, stack)\n    }\n    if(d <= 0) {\n      n = n.left\n    } else {\n      n = n.right\n    }\n  }\n  return new RedBlackTreeIterator(this, [])\n}\n\n//Removes item with key from tree\nproto.remove = function(key) {\n  var iter = this.find(key)\n  if(iter) {\n    return iter.remove()\n  }\n  return this\n}\n\n//Returns the item at `key`\nproto.get = function(key) {\n  var cmp = this._compare\n  var n = this.root\n  while(n) {\n    var d = cmp(key, n.key)\n    if(d === 0) {\n      return n.value\n    }\n    if(d <= 0) {\n      n = n.left\n    } else {\n      n = n.right\n    }\n  }\n  return\n}\n\n//Iterator for red black tree\nfunction RedBlackTreeIterator(tree, stack) {\n  this.tree = tree\n  this._stack = stack\n}\n\nvar iproto = RedBlackTreeIterator.prototype\n\n//Test if iterator is valid\nObject.defineProperty(iproto, \"valid\", {\n  get: function() {\n    return this._stack.length > 0\n  }\n})\n\n//Node of the iterator\nObject.defineProperty(iproto, \"node\", {\n  get: function() {\n    if(this._stack.length > 0) {\n      return this._stack[this._stack.length-1]\n    }\n    return null\n  },\n  enumerable: true\n})\n\n//Makes a copy of an iterator\niproto.clone = function() {\n  return new RedBlackTreeIterator(this.tree, this._stack.slice())\n}\n\n//Swaps two nodes\nfunction swapNode(n, v) {\n  n.key = v.key\n  n.value = v.value\n  n.left = v.left\n  n.right = v.right\n  n._color = v._color\n  n._count = v._count\n}\n\n//Fix up a double black node in a tree\nfunction fixDoubleBlack(stack) {\n  var n, p, s, z\n  for(var i=stack.length-1; i>=0; --i) {\n    n = stack[i]\n    if(i === 0) {\n      n._color = BLACK\n      return\n    }\n    //console.log(\"visit node:\", n.key, i, stack[i].key, stack[i-1].key)\n    p = stack[i-1]\n    if(p.left === n) {\n      //console.log(\"left child\")\n      s = p.right\n      if(s.right && s.right._color === RED) {\n        //console.log(\"case 1: right sibling child red\")\n        s = p.right = cloneNode(s)\n        z = s.right = cloneNode(s.right)\n        p.right = s.left\n        s.left = p\n        s.right = z\n        s._color = p._color\n        n._color = BLACK\n        p._color = BLACK\n        z._color = BLACK\n        recount(p)\n        recount(s)\n        if(i > 1) {\n          var pp = stack[i-2]\n          if(pp.left === p) {\n            pp.left = s\n          } else {\n            pp.right = s\n          }\n        }\n        stack[i-1] = s\n        return\n      } else if(s.left && s.left._color === RED) {\n        //console.log(\"case 1: left sibling child red\")\n        s = p.right = cloneNode(s)\n        z = s.left = cloneNode(s.left)\n        p.right = z.left\n        s.left = z.right\n        z.left = p\n        z.right = s\n        z._color = p._color\n        p._color = BLACK\n        s._color = BLACK\n        n._color = BLACK\n        recount(p)\n        recount(s)\n        recount(z)\n        if(i > 1) {\n          var pp = stack[i-2]\n          if(pp.left === p) {\n            pp.left = z\n          } else {\n            pp.right = z\n          }\n        }\n        stack[i-1] = z\n        return\n      }\n      if(s._color === BLACK) {\n        if(p._color === RED) {\n          //console.log(\"case 2: black sibling, red parent\", p.right.value)\n          p._color = BLACK\n          p.right = repaint(RED, s)\n          return\n        } else {\n          //console.log(\"case 2: black sibling, black parent\", p.right.value)\n          p.right = repaint(RED, s)\n          continue  \n        }\n      } else {\n        //console.log(\"case 3: red sibling\")\n        s = cloneNode(s)\n        p.right = s.left\n        s.left = p\n        s._color = p._color\n        p._color = RED\n        recount(p)\n        recount(s)\n        if(i > 1) {\n          var pp = stack[i-2]\n          if(pp.left === p) {\n            pp.left = s\n          } else {\n            pp.right = s\n          }\n        }\n        stack[i-1] = s\n        stack[i] = p\n        if(i+1 < stack.length) {\n          stack[i+1] = n\n        } else {\n          stack.push(n)\n        }\n        i = i+2\n      }\n    } else {\n      //console.log(\"right child\")\n      s = p.left\n      if(s.left && s.left._color === RED) {\n        //console.log(\"case 1: left sibling child red\", p.value, p._color)\n        s = p.left = cloneNode(s)\n        z = s.left = cloneNode(s.left)\n        p.left = s.right\n        s.right = p\n        s.left = z\n        s._color = p._color\n        n._color = BLACK\n        p._color = BLACK\n        z._color = BLACK\n        recount(p)\n        recount(s)\n        if(i > 1) {\n          var pp = stack[i-2]\n          if(pp.right === p) {\n            pp.right = s\n          } else {\n            pp.left = s\n          }\n        }\n        stack[i-1] = s\n        return\n      } else if(s.right && s.right._color === RED) {\n        //console.log(\"case 1: right sibling child red\")\n        s = p.left = cloneNode(s)\n        z = s.right = cloneNode(s.right)\n        p.left = z.right\n        s.right = z.left\n        z.right = p\n        z.left = s\n        z._color = p._color\n        p._color = BLACK\n        s._color = BLACK\n        n._color = BLACK\n        recount(p)\n        recount(s)\n        recount(z)\n        if(i > 1) {\n          var pp = stack[i-2]\n          if(pp.right === p) {\n            pp.right = z\n          } else {\n            pp.left = z\n          }\n        }\n        stack[i-1] = z\n        return\n      }\n      if(s._color === BLACK) {\n        if(p._color === RED) {\n          //console.log(\"case 2: black sibling, red parent\")\n          p._color = BLACK\n          p.left = repaint(RED, s)\n          return\n        } else {\n          //console.log(\"case 2: black sibling, black parent\")\n          p.left = repaint(RED, s)\n          continue  \n        }\n      } else {\n        //console.log(\"case 3: red sibling\")\n        s = cloneNode(s)\n        p.left = s.right\n        s.right = p\n        s._color = p._color\n        p._color = RED\n        recount(p)\n        recount(s)\n        if(i > 1) {\n          var pp = stack[i-2]\n          if(pp.right === p) {\n            pp.right = s\n          } else {\n            pp.left = s\n          }\n        }\n        stack[i-1] = s\n        stack[i] = p\n        if(i+1 < stack.length) {\n          stack[i+1] = n\n        } else {\n          stack.push(n)\n        }\n        i = i+2\n      }\n    }\n  }\n}\n\n//Removes item at iterator from tree\niproto.remove = function() {\n  var stack = this._stack\n  if(stack.length === 0) {\n    return this.tree\n  }\n  //First copy path to node\n  var cstack = new Array(stack.length)\n  var n = stack[stack.length-1]\n  cstack[cstack.length-1] = new RBNode(n._color, n.key, n.value, n.left, n.right, n._count)\n  for(var i=stack.length-2; i>=0; --i) {\n    var n = stack[i]\n    if(n.left === stack[i+1]) {\n      cstack[i] = new RBNode(n._color, n.key, n.value, cstack[i+1], n.right, n._count)\n    } else {\n      cstack[i] = new RBNode(n._color, n.key, n.value, n.left, cstack[i+1], n._count)\n    }\n  }\n\n  //Get node\n  n = cstack[cstack.length-1]\n  //console.log(\"start remove: \", n.value)\n\n  //If not leaf, then swap with previous node\n  if(n.left && n.right) {\n    //console.log(\"moving to leaf\")\n\n    //First walk to previous leaf\n    var split = cstack.length\n    n = n.left\n    while(n.right) {\n      cstack.push(n)\n      n = n.right\n    }\n    //Copy path to leaf\n    var v = cstack[split-1]\n    cstack.push(new RBNode(n._color, v.key, v.value, n.left, n.right, n._count))\n    cstack[split-1].key = n.key\n    cstack[split-1].value = n.value\n\n    //Fix up stack\n    for(var i=cstack.length-2; i>=split; --i) {\n      n = cstack[i]\n      cstack[i] = new RBNode(n._color, n.key, n.value, n.left, cstack[i+1], n._count)\n    }\n    cstack[split-1].left = cstack[split]\n  }\n  //console.log(\"stack=\", cstack.map(function(v) { return v.value }))\n\n  //Remove leaf node\n  n = cstack[cstack.length-1]\n  if(n._color === RED) {\n    //Easy case: removing red leaf\n    //console.log(\"RED leaf\")\n    var p = cstack[cstack.length-2]\n    if(p.left === n) {\n      p.left = null\n    } else if(p.right === n) {\n      p.right = null\n    }\n    cstack.pop()\n    for(var i=0; i<cstack.length; ++i) {\n      cstack[i]._count--\n    }\n    return new RedBlackTree(this.tree._compare, cstack[0])\n  } else {\n    if(n.left || n.right) {\n      //Second easy case:  Single child black parent\n      //console.log(\"BLACK single child\")\n      if(n.left) {\n        swapNode(n, n.left)\n      } else if(n.right) {\n        swapNode(n, n.right)\n      }\n      //Child must be red, so repaint it black to balance color\n      n._color = BLACK\n      for(var i=0; i<cstack.length-1; ++i) {\n        cstack[i]._count--\n      }\n      return new RedBlackTree(this.tree._compare, cstack[0])\n    } else if(cstack.length === 1) {\n      //Third easy case: root\n      //console.log(\"ROOT\")\n      return new RedBlackTree(this.tree._compare, null)\n    } else {\n      //Hard case: Repaint n, and then do some nasty stuff\n      //console.log(\"BLACK leaf no children\")\n      for(var i=0; i<cstack.length; ++i) {\n        cstack[i]._count--\n      }\n      var parent = cstack[cstack.length-2]\n      fixDoubleBlack(cstack)\n      //Fix up links\n      if(parent.left === n) {\n        parent.left = null\n      } else {\n        parent.right = null\n      }\n    }\n  }\n  return new RedBlackTree(this.tree._compare, cstack[0])\n}\n\n//Returns key\nObject.defineProperty(iproto, \"key\", {\n  get: function() {\n    if(this._stack.length > 0) {\n      return this._stack[this._stack.length-1].key\n    }\n    return\n  },\n  enumerable: true\n})\n\n//Returns value\nObject.defineProperty(iproto, \"value\", {\n  get: function() {\n    if(this._stack.length > 0) {\n      return this._stack[this._stack.length-1].value\n    }\n    return\n  },\n  enumerable: true\n})\n\n\n//Returns the position of this iterator in the sorted list\nObject.defineProperty(iproto, \"index\", {\n  get: function() {\n    var idx = 0\n    var stack = this._stack\n    if(stack.length === 0) {\n      var r = this.tree.root\n      if(r) {\n        return r._count\n      }\n      return 0\n    } else if(stack[stack.length-1].left) {\n      idx = stack[stack.length-1].left._count\n    }\n    for(var s=stack.length-2; s>=0; --s) {\n      if(stack[s+1] === stack[s].right) {\n        ++idx\n        if(stack[s].left) {\n          idx += stack[s].left._count\n        }\n      }\n    }\n    return idx\n  },\n  enumerable: true\n})\n\n//Advances iterator to next element in list\niproto.next = function() {\n  var stack = this._stack\n  if(stack.length === 0) {\n    return\n  }\n  var n = stack[stack.length-1]\n  if(n.right) {\n    n = n.right\n    while(n) {\n      stack.push(n)\n      n = n.left\n    }\n  } else {\n    stack.pop()\n    while(stack.length > 0 && stack[stack.length-1].right === n) {\n      n = stack[stack.length-1]\n      stack.pop()\n    }\n  }\n}\n\n//Checks if iterator is at end of tree\nObject.defineProperty(iproto, \"hasNext\", {\n  get: function() {\n    var stack = this._stack\n    if(stack.length === 0) {\n      return false\n    }\n    if(stack[stack.length-1].right) {\n      return true\n    }\n    for(var s=stack.length-1; s>0; --s) {\n      if(stack[s-1].left === stack[s]) {\n        return true\n      }\n    }\n    return false\n  }\n})\n\n//Update value\niproto.update = function(value) {\n  var stack = this._stack\n  if(stack.length === 0) {\n    throw new Error(\"Can't update empty node!\")\n  }\n  var cstack = new Array(stack.length)\n  var n = stack[stack.length-1]\n  cstack[cstack.length-1] = new RBNode(n._color, n.key, value, n.left, n.right, n._count)\n  for(var i=stack.length-2; i>=0; --i) {\n    n = stack[i]\n    if(n.left === stack[i+1]) {\n      cstack[i] = new RBNode(n._color, n.key, n.value, cstack[i+1], n.right, n._count)\n    } else {\n      cstack[i] = new RBNode(n._color, n.key, n.value, n.left, cstack[i+1], n._count)\n    }\n  }\n  return new RedBlackTree(this.tree._compare, cstack[0])\n}\n\n//Moves iterator backward one element\niproto.prev = function() {\n  var stack = this._stack\n  if(stack.length === 0) {\n    return\n  }\n  var n = stack[stack.length-1]\n  if(n.left) {\n    n = n.left\n    while(n) {\n      stack.push(n)\n      n = n.right\n    }\n  } else {\n    stack.pop()\n    while(stack.length > 0 && stack[stack.length-1].left === n) {\n      n = stack[stack.length-1]\n      stack.pop()\n    }\n  }\n}\n\n//Checks if iterator is at start of tree\nObject.defineProperty(iproto, \"hasPrev\", {\n  get: function() {\n    var stack = this._stack\n    if(stack.length === 0) {\n      return false\n    }\n    if(stack[stack.length-1].left) {\n      return true\n    }\n    for(var s=stack.length-1; s>0; --s) {\n      if(stack[s-1].right === stack[s]) {\n        return true\n      }\n    }\n    return false\n  }\n})\n\n//Default comparison function\nfunction defaultCompare(a, b) {\n  if(a < b) {\n    return -1\n  }\n  if(a > b) {\n    return 1\n  }\n  return 0\n}\n\n//Build a tree\nfunction createRBTree(compare) {\n  return new RedBlackTree(compare || defaultCompare, null)\n}\n},{}],220:[function(_dereq_,module,exports){\n// transliterated from the python snippet here:\n// http://en.wikipedia.org/wiki/Lanczos_approximation\n\nvar g = 7;\nvar p = [\n    0.99999999999980993,\n    676.5203681218851,\n    -1259.1392167224028,\n    771.32342877765313,\n    -176.61502916214059,\n    12.507343278686905,\n    -0.13857109526572012,\n    9.9843695780195716e-6,\n    1.5056327351493116e-7\n];\n\nvar g_ln = 607/128;\nvar p_ln = [\n    0.99999999999999709182,\n    57.156235665862923517,\n    -59.597960355475491248,\n    14.136097974741747174,\n    -0.49191381609762019978,\n    0.33994649984811888699e-4,\n    0.46523628927048575665e-4,\n    -0.98374475304879564677e-4,\n    0.15808870322491248884e-3,\n    -0.21026444172410488319e-3,\n    0.21743961811521264320e-3,\n    -0.16431810653676389022e-3,\n    0.84418223983852743293e-4,\n    -0.26190838401581408670e-4,\n    0.36899182659531622704e-5\n];\n\n// Spouge approximation (suitable for large arguments)\nfunction lngamma(z) {\n\n    if(z < 0) return Number('0/0');\n    var x = p_ln[0];\n    for(var i = p_ln.length - 1; i > 0; --i) x += p_ln[i] / (z + i);\n    var t = z + g_ln + 0.5;\n    return .5*Math.log(2*Math.PI)+(z+.5)*Math.log(t)-t+Math.log(x)-Math.log(z);\n}\n\nmodule.exports = function gamma (z) {\n    if (z < 0.5) {\n        return Math.PI / (Math.sin(Math.PI * z) * gamma(1 - z));\n    }\n    else if(z > 100) return Math.exp(lngamma(z));\n    else {\n        z -= 1;\n        var x = p[0];\n        for (var i = 1; i < g + 2; i++) {\n            x += p[i] / (z + i);\n        }\n        var t = z + g + 0.5;\n\n        return Math.sqrt(2 * Math.PI)\n            * Math.pow(t, z + 0.5)\n            * Math.exp(-t)\n            * x\n        ;\n    }\n};\n\nmodule.exports.log = lngamma;\n\n},{}],221:[function(_dereq_,module,exports){\nmodule.exports = getCanvasContext\nfunction getCanvasContext (type, opts) {\n  if (typeof type !== 'string') {\n    throw new TypeError('must specify type string')\n  }\n\n  opts = opts || {}\n\n  if (typeof document === 'undefined' && !opts.canvas) {\n    return null // check for Node\n  }\n\n  var canvas = opts.canvas || document.createElement('canvas')\n  if (typeof opts.width === 'number') {\n    canvas.width = opts.width\n  }\n  if (typeof opts.height === 'number') {\n    canvas.height = opts.height\n  }\n\n  var attribs = opts\n  var gl\n  try {\n    var names = [ type ]\n    // prefix GL contexts\n    if (type.indexOf('webgl') === 0) {\n      names.push('experimental-' + type)\n    }\n\n    for (var i = 0; i < names.length; i++) {\n      gl = canvas.getContext(names[i], attribs)\n      if (gl) return gl\n    }\n  } catch (e) {\n    gl = null\n  }\n  return (gl || null) // ensure null on fail\n}\n\n},{}],222:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createAxes\r\n\r\nvar createText        = _dereq_('./lib/text.js')\r\nvar createLines       = _dereq_('./lib/lines.js')\r\nvar createBackground  = _dereq_('./lib/background.js')\r\nvar getCubeProperties = _dereq_('./lib/cube.js')\r\nvar Ticks             = _dereq_('./lib/ticks.js')\r\n\r\nvar identity = new Float32Array([\r\n  1, 0, 0, 0,\r\n  0, 1, 0, 0,\r\n  0, 0, 1, 0,\r\n  0, 0, 0, 1])\r\n\r\nfunction copyVec3(a, b) {\r\n  a[0] = b[0]\r\n  a[1] = b[1]\r\n  a[2] = b[2]\r\n  return a\r\n}\r\n\r\nfunction Axes(gl) {\r\n  this.gl             = gl\r\n\r\n  this.pixelRatio     = 1\r\n\r\n  this.bounds         = [ [-10, -10, -10],\r\n                          [ 10,  10,  10] ]\r\n  this.ticks          = [ [], [], [] ]\r\n  this.autoTicks      = true\r\n  this.tickSpacing    = [ 1, 1, 1 ]\r\n\r\n  this.tickEnable     = [ true, true, true ]\r\n  this.tickFont       = [ 'sans-serif', 'sans-serif', 'sans-serif' ]\r\n  this.tickSize       = [ 12, 12, 12 ]\r\n  this.tickAngle      = [ 0, 0, 0 ]\r\n  this._tickAlign      = [ 'auto', 'auto', 'auto' ]\r\n  this.tickColor      = [ [0,0,0,1], [0,0,0,1], [0,0,0,1] ]\r\n  this.tickPad        = [ 10, 10, 10 ]\r\n\r\n  this.lastCubeProps  = {\r\n    cubeEdges: [0,0,0],\r\n    axis:      [0,0,0]\r\n  }\r\n\r\n  this.labels         = [ 'x', 'y', 'z' ]\r\n  this.labelEnable    = [ true, true, true ]\r\n  this.labelFont      = 'sans-serif'\r\n  this.labelSize      = [ 20, 20, 20 ]\r\n  this._labelAngle     = [ 0, 0, 0 ]\r\n  this._labelAlign     = [ 'auto', 'auto', 'auto' ]\r\n  this.labelColor     = [ [0,0,0,1], [0,0,0,1], [0,0,0,1] ]\r\n  this.labelPad       = [ 10, 10, 10 ]\r\n\r\n  this.lineEnable     = [ true, true, true ]\r\n  this.lineMirror     = [ false, false, false ]\r\n  this.lineWidth      = [ 1, 1, 1 ]\r\n  this.lineColor      = [ [0,0,0,1], [0,0,0,1], [0,0,0,1] ]\r\n\r\n  this.lineTickEnable = [ true, true, true ]\r\n  this.lineTickMirror = [ false, false, false ]\r\n  this.lineTickLength = [ 0, 0, 0 ]\r\n  this.lineTickWidth  = [ 1, 1, 1 ]\r\n  this.lineTickColor  = [ [0,0,0,1], [0,0,0,1], [0,0,0,1] ]\r\n\r\n  this.gridEnable     = [ true, true, true ]\r\n  this.gridWidth      = [ 1, 1, 1 ]\r\n  this.gridColor      = [ [0,0,0,1], [0,0,0,1], [0,0,0,1] ]\r\n\r\n  this.zeroEnable     = [ true, true, true ]\r\n  this.zeroLineColor  = [ [0,0,0,1], [0,0,0,1], [0,0,0,1] ]\r\n  this.zeroLineWidth  = [ 2, 2, 2 ]\r\n\r\n  this.backgroundEnable = [ false, false, false ]\r\n  this.backgroundColor  = [ [0.8, 0.8, 0.8, 0.5],\r\n                            [0.8, 0.8, 0.8, 0.5],\r\n                            [0.8, 0.8, 0.8, 0.5] ]\r\n\r\n  this._firstInit = true\r\n  this._text  = null\r\n  this._lines = null\r\n  this._background = createBackground(gl)\r\n}\r\n\r\nvar proto = Axes.prototype\r\n\r\nproto.update = function(options) {\r\n  options = options || {}\r\n\r\n  //Option parsing helper functions\r\n  function parseOption(nest, cons, name) {\r\n    if(name in options) {\r\n      var opt = options[name]\r\n      var prev = this[name]\r\n      var next\r\n      if(nest ? (Array.isArray(opt) && Array.isArray(opt[0])) :\r\n                 Array.isArray(opt) ) {\r\n        this[name] = next = [ cons(opt[0]), cons(opt[1]), cons(opt[2]) ]\r\n      } else {\r\n        this[name] = next = [ cons(opt), cons(opt), cons(opt) ]\r\n      }\r\n      for(var i=0; i<3; ++i) {\r\n        if(next[i] !== prev[i]) {\r\n          return true\r\n        }\r\n      }\r\n    }\r\n    return false\r\n  }\r\n\r\n  var NUMBER  = parseOption.bind(this, false, Number)\r\n  var BOOLEAN = parseOption.bind(this, false, Boolean)\r\n  var STRING  = parseOption.bind(this, false, String)\r\n  var COLOR   = parseOption.bind(this, true, function(v) {\r\n    if(Array.isArray(v)) {\r\n      if(v.length === 3) {\r\n        return [ +v[0], +v[1], +v[2], 1.0 ]\r\n      } else if(v.length === 4) {\r\n        return [ +v[0], +v[1], +v[2], +v[3] ]\r\n      }\r\n    }\r\n    return [ 0, 0, 0, 1 ]\r\n  })\r\n\r\n  //Tick marks and bounds\r\n  var nextTicks\r\n  var ticksUpdate   = false\r\n  var boundsChanged = false\r\n  if('bounds' in options) {\r\n    var bounds = options.bounds\r\ni_loop:\r\n    for(var i=0; i<2; ++i) {\r\n      for(var j=0; j<3; ++j) {\r\n        if(bounds[i][j] !== this.bounds[i][j]) {\r\n          boundsChanged = true\r\n        }\r\n        this.bounds[i][j] = bounds[i][j]\r\n      }\r\n    }\r\n  }\r\n  if('ticks' in options) {\r\n    nextTicks      = options.ticks\r\n    ticksUpdate    = true\r\n    this.autoTicks = false\r\n    for(var i=0; i<3; ++i) {\r\n      this.tickSpacing[i] = 0.0\r\n    }\r\n  } else if(NUMBER('tickSpacing')) {\r\n    this.autoTicks  = true\r\n    boundsChanged   = true\r\n  }\r\n\r\n  if(this._firstInit) {\r\n    if(!('ticks' in options || 'tickSpacing' in options)) {\r\n      this.autoTicks = true\r\n    }\r\n\r\n    //Force tick recomputation on first update\r\n    boundsChanged   = true\r\n    ticksUpdate     = true\r\n    this._firstInit = false\r\n  }\r\n\r\n  if(boundsChanged && this.autoTicks) {\r\n    nextTicks = Ticks.create(this.bounds, this.tickSpacing)\r\n    ticksUpdate = true\r\n  }\r\n\r\n  //Compare next ticks to previous ticks, only update if needed\r\n  if(ticksUpdate) {\r\n    for(var i=0; i<3; ++i) {\r\n      nextTicks[i].sort(function(a,b) {\r\n        return a.x-b.x\r\n      })\r\n    }\r\n    if(Ticks.equal(nextTicks, this.ticks)) {\r\n      ticksUpdate = false\r\n    } else {\r\n      this.ticks = nextTicks\r\n    }\r\n  }\r\n\r\n  //Parse tick properties\r\n  BOOLEAN('tickEnable')\r\n  if(STRING('tickFont')) {\r\n    ticksUpdate = true  //If font changes, must rebuild vbo\r\n  }\r\n  NUMBER('tickSize')\r\n  NUMBER('tickAngle')\r\n  NUMBER('tickPad')\r\n  COLOR('tickColor')\r\n\r\n  //Axis labels\r\n  var labelUpdate = STRING('labels')\r\n  if(STRING('labelFont')) {\r\n    labelUpdate = true\r\n  }\r\n  BOOLEAN('labelEnable')\r\n  NUMBER('labelSize')\r\n  NUMBER('labelPad')\r\n  COLOR('labelColor')\r\n\r\n  //Axis lines\r\n  BOOLEAN('lineEnable')\r\n  BOOLEAN('lineMirror')\r\n  NUMBER('lineWidth')\r\n  COLOR('lineColor')\r\n\r\n  //Axis line ticks\r\n  BOOLEAN('lineTickEnable')\r\n  BOOLEAN('lineTickMirror')\r\n  NUMBER('lineTickLength')\r\n  NUMBER('lineTickWidth')\r\n  COLOR('lineTickColor')\r\n\r\n  //Grid lines\r\n  BOOLEAN('gridEnable')\r\n  NUMBER('gridWidth')\r\n  COLOR('gridColor')\r\n\r\n  //Zero line\r\n  BOOLEAN('zeroEnable')\r\n  COLOR('zeroLineColor')\r\n  NUMBER('zeroLineWidth')\r\n\r\n  //Background\r\n  BOOLEAN('backgroundEnable')\r\n  COLOR('backgroundColor')\r\n\r\n  //Update text if necessary\r\n  if(!this._text) {\r\n    this._text = createText(\r\n      this.gl,\r\n      this.bounds,\r\n      this.labels,\r\n      this.labelFont,\r\n      this.ticks,\r\n      this.tickFont)\r\n  } else if(this._text && (labelUpdate || ticksUpdate)) {\r\n    this._text.update(\r\n      this.bounds,\r\n      this.labels,\r\n      this.labelFont,\r\n      this.ticks,\r\n      this.tickFont)\r\n  }\r\n\r\n  //Update lines if necessary\r\n  if(this._lines && ticksUpdate) {\r\n    this._lines.dispose()\r\n    this._lines = null\r\n  }\r\n  if(!this._lines) {\r\n    this._lines = createLines(this.gl, this.bounds, this.ticks)\r\n  }\r\n}\r\n\r\nfunction OffsetInfo() {\r\n  this.primalOffset = [0,0,0]\r\n  this.primalMinor  = [0,0,0]\r\n  this.mirrorOffset = [0,0,0]\r\n  this.mirrorMinor  = [0,0,0]\r\n}\r\n\r\nvar LINE_OFFSET = [ new OffsetInfo(), new OffsetInfo(), new OffsetInfo() ]\r\n\r\nfunction computeLineOffset(result, i, bounds, cubeEdges, cubeAxis) {\r\n  var primalOffset = result.primalOffset\r\n  var primalMinor  = result.primalMinor\r\n  var dualOffset   = result.mirrorOffset\r\n  var dualMinor    = result.mirrorMinor\r\n  var e = cubeEdges[i]\r\n\r\n  //Calculate offsets\r\n  for(var j=0; j<3; ++j) {\r\n    if(i === j) {\r\n      continue\r\n    }\r\n    var a = primalOffset,\r\n        b = dualOffset,\r\n        c = primalMinor,\r\n        d = dualMinor\r\n    if(e & (1<<j)) {\r\n      a = dualOffset\r\n      b = primalOffset\r\n      c = dualMinor\r\n      d = primalMinor\r\n    }\r\n    a[j] = bounds[0][j]\r\n    b[j] = bounds[1][j]\r\n    if(cubeAxis[j] > 0) {\r\n      c[j] = -1\r\n      d[j] = 0\r\n    } else {\r\n      c[j] = 0\r\n      d[j] = +1\r\n    }\r\n  }\r\n}\r\n\r\nvar CUBE_ENABLE = [0,0,0]\r\nvar DEFAULT_PARAMS = {\r\n  model:      identity,\r\n  view:       identity,\r\n  projection: identity\r\n}\r\n\r\nproto.isOpaque = function() {\r\n  return true\r\n}\r\n\r\nproto.isTransparent = function() {\r\n  return false\r\n}\r\n\r\nproto.drawTransparent = function(params) {}\r\n\r\nvar ALIGN_OPTION_AUTO = 0 // i.e. as defined in the shader the text would rotate to stay upwards range: [-90,90]\r\n\r\nvar PRIMAL_MINOR  = [0,0,0]\r\nvar MIRROR_MINOR  = [0,0,0]\r\nvar PRIMAL_OFFSET = [0,0,0]\r\n\r\nproto.draw = function(params) {\r\n  params = params || DEFAULT_PARAMS\r\n\r\n  var gl = this.gl\r\n\r\n  //Geometry for camera and axes\r\n  var model       = params.model || identity\r\n  var view        = params.view || identity\r\n  var projection  = params.projection || identity\r\n  var bounds      = this.bounds\r\n\r\n  //Unpack axis info\r\n  var cubeParams  = getCubeProperties(model, view, projection, bounds)\r\n  var cubeEdges   = cubeParams.cubeEdges\r\n  var cubeAxis    = cubeParams.axis\r\n\r\n  var cx = view[12]\r\n  var cy = view[13]\r\n  var cz = view[14]\r\n  var cw = view[15]\r\n\r\n  var pixelScaleF = this.pixelRatio * (projection[3]*cx + projection[7]*cy + projection[11]*cz + projection[15]*cw) / gl.drawingBufferHeight\r\n\r\n  for(var i=0; i<3; ++i) {\r\n    this.lastCubeProps.cubeEdges[i] = cubeEdges[i]\r\n    this.lastCubeProps.axis[i] = cubeAxis[i]\r\n  }\r\n\r\n  //Compute axis info\r\n  var lineOffset  = LINE_OFFSET\r\n  for(var i=0; i<3; ++i) {\r\n    computeLineOffset(\r\n      LINE_OFFSET[i],\r\n      i,\r\n      this.bounds,\r\n      cubeEdges,\r\n      cubeAxis)\r\n  }\r\n\r\n  //Set up state parameters\r\n  var gl = this.gl\r\n\r\n  //Draw background first\r\n  var cubeEnable = CUBE_ENABLE\r\n  for(var i=0; i<3; ++i) {\r\n    if(this.backgroundEnable[i]) {\r\n      cubeEnable[i] = cubeAxis[i]\r\n    } else {\r\n      cubeEnable[i] = 0\r\n    }\r\n  }\r\n\r\n  this._background.draw(\r\n    model,\r\n    view,\r\n    projection,\r\n    bounds,\r\n    cubeEnable,\r\n    this.backgroundColor)\r\n\r\n  //Draw lines\r\n  this._lines.bind(\r\n    model,\r\n    view,\r\n    projection,\r\n    this)\r\n\r\n  //First draw grid lines and zero lines\r\n  for(var i=0; i<3; ++i) {\r\n    var x = [0,0,0]\r\n    if(cubeAxis[i] > 0) {\r\n      x[i] = bounds[1][i]\r\n    } else {\r\n      x[i] = bounds[0][i]\r\n    }\r\n\r\n    //Draw grid lines\r\n    for(var j=0; j<2; ++j) {\r\n      var u = (i + 1 + j) % 3\r\n      var v = (i + 1 + (j^1)) % 3\r\n      if(this.gridEnable[u]) {\r\n        this._lines.drawGrid(u, v, this.bounds, x, this.gridColor[u], this.gridWidth[u]*this.pixelRatio)\r\n      }\r\n    }\r\n\r\n    //Draw zero lines (need to do this AFTER all grid lines are drawn)\r\n    for(var j=0; j<2; ++j) {\r\n      var u = (i + 1 + j) % 3\r\n      var v = (i + 1 + (j^1)) % 3\r\n      if(this.zeroEnable[v]) {\r\n        //Check if zero line in bounds\r\n        if(Math.min(bounds[0][v], bounds[1][v]) <= 0 && Math.max(bounds[0][v], bounds[1][v]) >= 0) {\r\n          this._lines.drawZero(u, v, this.bounds, x, this.zeroLineColor[v], this.zeroLineWidth[v]*this.pixelRatio)\r\n        }\r\n      }\r\n    }\r\n  }\r\n\r\n  //Then draw axis lines and tick marks\r\n  for(var i=0; i<3; ++i) {\r\n\r\n    //Draw axis lines\r\n    if(this.lineEnable[i]) {\r\n      this._lines.drawAxisLine(i, this.bounds, lineOffset[i].primalOffset, this.lineColor[i], this.lineWidth[i]*this.pixelRatio)\r\n    }\r\n    if(this.lineMirror[i]) {\r\n      this._lines.drawAxisLine(i, this.bounds, lineOffset[i].mirrorOffset, this.lineColor[i], this.lineWidth[i]*this.pixelRatio)\r\n    }\r\n\r\n    //Compute minor axes\r\n    var primalMinor = copyVec3(PRIMAL_MINOR, lineOffset[i].primalMinor)\r\n    var mirrorMinor = copyVec3(MIRROR_MINOR, lineOffset[i].mirrorMinor)\r\n    var tickLength  = this.lineTickLength\r\n    var op = 0\r\n    for(var j=0; j<3; ++j) {\r\n      var scaleFactor = pixelScaleF / model[5*j]\r\n      primalMinor[j] *= tickLength[j] * scaleFactor\r\n      mirrorMinor[j] *= tickLength[j] * scaleFactor\r\n    }\r\n\r\n    //Draw axis line ticks\r\n    if(this.lineTickEnable[i]) {\r\n      this._lines.drawAxisTicks(i, lineOffset[i].primalOffset, primalMinor, this.lineTickColor[i], this.lineTickWidth[i]*this.pixelRatio)\r\n    }\r\n    if(this.lineTickMirror[i]) {\r\n      this._lines.drawAxisTicks(i, lineOffset[i].mirrorOffset, mirrorMinor, this.lineTickColor[i], this.lineTickWidth[i]*this.pixelRatio)\r\n    }\r\n  }\r\n  this._lines.unbind()\r\n\r\n  //Draw text sprites\r\n  this._text.bind(\r\n    model,\r\n    view,\r\n    projection,\r\n    this.pixelRatio)\r\n\r\n  var alignOpt // options in shader are from this list {-1, 0, 1, 2, 3, ..., n}\r\n  // -1: backward compatible\r\n  //  0: raw data\r\n  //  1: auto align, free angles\r\n  //  2: auto align, horizontal or vertical\r\n  //3-n: auto align, round to n directions e.g. 12 -> round to angles with 30-degree steps\r\n\r\n  var hv_ratio = 0.5 // can have an effect on the ratio between horizontals and verticals when using option 2\r\n\r\n  var enableAlign\r\n  var alignDir\r\n\r\n  function alignTo(i) {\r\n    alignDir = [0,0,0]\r\n    alignDir[i] = 1\r\n  }\r\n\r\n  function solveTickAlignments(i, minor, major) {\r\n\r\n    var i1 = (i + 1) % 3\r\n    var i2 = (i + 2) % 3\r\n\r\n    var A = minor[i1]\r\n    var B = minor[i2]\r\n    var C = major[i1]\r\n    var D = major[i2]\r\n\r\n         if ((A > 0) && (D > 0)) { alignTo(i1); return; }\r\n    else if ((A > 0) && (D < 0)) { alignTo(i1); return; }\r\n    else if ((A < 0) && (D > 0)) { alignTo(i1); return; }\r\n    else if ((A < 0) && (D < 0)) { alignTo(i1); return; }\r\n    else if ((B > 0) && (C > 0)) { alignTo(i2); return; }\r\n    else if ((B > 0) && (C < 0)) { alignTo(i2); return; }\r\n    else if ((B < 0) && (C > 0)) { alignTo(i2); return; }\r\n    else if ((B < 0) && (C < 0)) { alignTo(i2); return; }\r\n  }\r\n\r\n  for(var i=0; i<3; ++i) {\r\n\r\n    var minor      = lineOffset[i].primalMinor\r\n    var major      = lineOffset[i].mirrorMinor\r\n\r\n    var offset     = copyVec3(PRIMAL_OFFSET, lineOffset[i].primalOffset)\r\n\r\n    for(var j=0; j<3; ++j) {\r\n      if(this.lineTickEnable[i]) {\r\n        offset[j] += pixelScaleF * minor[j] * Math.max(this.lineTickLength[j], 0)  / model[5*j]\r\n      }\r\n    }\r\n\r\n    var axis = [0,0,0]\r\n    axis[i] = 1\r\n\r\n    //Draw tick text\r\n    if(this.tickEnable[i]) {\r\n\r\n      if(this.tickAngle[i] === -3600) {\r\n        this.tickAngle[i] = 0\r\n        this._tickAlign[i] = 'auto'\r\n      } else {\r\n        this._tickAlign[i] = -1\r\n      }\r\n\r\n      enableAlign = 1;\r\n\r\n      alignOpt = [this._tickAlign[i], hv_ratio, enableAlign]\r\n      if(alignOpt[0] === 'auto') alignOpt[0] = ALIGN_OPTION_AUTO\r\n      else alignOpt[0] = parseInt('' + alignOpt[0])\r\n\r\n      alignDir = [0,0,0]\r\n      solveTickAlignments(i, minor, major)\r\n\r\n      //Add tick padding\r\n      for(var j=0; j<3; ++j) {\r\n        offset[j] += pixelScaleF * minor[j] * this.tickPad[j] / model[5*j]\r\n      }\r\n\r\n      //Draw axis\r\n      this._text.drawTicks(\r\n        i,\r\n        this.tickSize[i],\r\n        this.tickAngle[i],\r\n        offset,\r\n        this.tickColor[i],\r\n        axis,\r\n        alignDir,\r\n        alignOpt)\r\n    }\r\n\r\n    //Draw labels\r\n    if(this.labelEnable[i]) {\r\n\r\n      enableAlign = 0\r\n      alignDir = [0,0,0]\r\n      if(this.labels[i].length > 4) { // for large label axis enable alignDir to axis\r\n        alignTo(i)\r\n        enableAlign = 1\r\n      }\r\n\r\n      alignOpt = [this._labelAlign[i], hv_ratio, enableAlign]\r\n      if(alignOpt[0] === 'auto') alignOpt[0] = ALIGN_OPTION_AUTO\r\n      else alignOpt[0] = parseInt('' + alignOpt[0])\r\n\r\n      //Add label padding\r\n      for(var j=0; j<3; ++j) {\r\n        offset[j] += pixelScaleF * minor[j] * this.labelPad[j] / model[5*j]\r\n      }\r\n      offset[i] += 0.5 * (bounds[0][i] + bounds[1][i])\r\n\r\n      //Draw axis\r\n      this._text.drawLabel(\r\n        i,\r\n        this.labelSize[i],\r\n        this._labelAngle[i],\r\n        offset,\r\n        this.labelColor[i],\r\n        [0,0,0],\r\n        alignDir,\r\n        alignOpt)\r\n    }\r\n  }\r\n\r\n  this._text.unbind()\r\n}\r\n\r\nproto.dispose = function() {\r\n  this._text.dispose()\r\n  this._lines.dispose()\r\n  this._background.dispose()\r\n  this._lines = null\r\n  this._text = null\r\n  this._background = null\r\n  this.gl = null\r\n}\r\n\r\nfunction createAxes(gl, options) {\r\n  var axes = new Axes(gl)\r\n  axes.update(options)\r\n  return axes\r\n}\r\n\n},{\"./lib/background.js\":223,\"./lib/cube.js\":224,\"./lib/lines.js\":225,\"./lib/text.js\":227,\"./lib/ticks.js\":228}],223:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createBackgroundCube\r\n\r\nvar createBuffer = _dereq_('gl-buffer')\r\nvar createVAO    = _dereq_('gl-vao')\r\nvar createShader = _dereq_('./shaders').bg\r\n\r\nfunction BackgroundCube(gl, buffer, vao, shader) {\r\n  this.gl = gl\r\n  this.buffer = buffer\r\n  this.vao = vao\r\n  this.shader = shader\r\n}\r\n\r\nvar proto = BackgroundCube.prototype\r\n\r\nproto.draw = function(model, view, projection, bounds, enable, colors) {\r\n  var needsBG = false\r\n  for(var i=0; i<3; ++i) {\r\n    needsBG = needsBG || enable[i]\r\n  }\r\n  if(!needsBG) {\r\n    return\r\n  }\r\n\r\n  var gl = this.gl\r\n\r\n  gl.enable(gl.POLYGON_OFFSET_FILL)\r\n  gl.polygonOffset(1, 2)\r\n\r\n  this.shader.bind()\r\n  this.shader.uniforms = {\r\n    model: model,\r\n    view: view,\r\n    projection: projection,\r\n    bounds: bounds,\r\n    enable: enable,\r\n    colors: colors\r\n  }\r\n  this.vao.bind()\r\n  this.vao.draw(this.gl.TRIANGLES, 36)\r\n  this.vao.unbind()\r\n\r\n  gl.disable(gl.POLYGON_OFFSET_FILL)\r\n}\r\n\r\nproto.dispose = function() {\r\n  this.vao.dispose()\r\n  this.buffer.dispose()\r\n  this.shader.dispose()\r\n}\r\n\r\nfunction createBackgroundCube(gl) {\r\n  //Create cube vertices\r\n  var vertices = []\r\n  var indices  = []\r\n  var ptr = 0\r\n  for(var d=0; d<3; ++d) {\r\n    var u = (d+1) % 3\r\n    var v = (d+2) % 3\r\n    var x = [0,0,0]\r\n    var c = [0,0,0]\r\n    for(var s=-1; s<=1; s+=2) {\r\n      indices.push(ptr,   ptr+2, ptr+1,\r\n                   ptr+1, ptr+2, ptr+3)\r\n      x[d] = s\r\n      c[d] = s\r\n      for(var i=-1; i<=1; i+=2) {\r\n        x[u] = i\r\n        for(var j=-1; j<=1; j+=2) {\r\n          x[v] = j\r\n          vertices.push(x[0], x[1], x[2],\r\n                        c[0], c[1], c[2])\r\n          ptr += 1\r\n        }\r\n      }\r\n      //Swap u and v\r\n      var tt = u\r\n      u = v\r\n      v = tt\r\n    }\r\n  }\r\n\r\n  //Allocate buffer and vertex array\r\n  var buffer = createBuffer(gl, new Float32Array(vertices))\r\n  var elements = createBuffer(gl, new Uint16Array(indices), gl.ELEMENT_ARRAY_BUFFER)\r\n  var vao = createVAO(gl, [\r\n      {\r\n        buffer: buffer,\r\n        type: gl.FLOAT,\r\n        size: 3,\r\n        offset: 0,\r\n        stride: 24\r\n      },\r\n      {\r\n        buffer: buffer,\r\n        type: gl.FLOAT,\r\n        size: 3,\r\n        offset: 12,\r\n        stride: 24\r\n      }\r\n    ], elements)\r\n\r\n  //Create shader object\r\n  var shader = createShader(gl)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.normal.location = 1\r\n\r\n  return new BackgroundCube(gl, buffer, vao, shader)\r\n}\r\n\n},{\"./shaders\":226,\"gl-buffer\":230,\"gl-vao\":310}],224:[function(_dereq_,module,exports){\n\"use strict\"\r\n\r\nmodule.exports = getCubeEdges\r\n\r\nvar bits      = _dereq_('bit-twiddle')\r\nvar multiply  = _dereq_('gl-mat4/multiply')\r\nvar invert    = _dereq_('gl-mat4/invert')\r\nvar splitPoly = _dereq_('split-polygon')\r\nvar orient    = _dereq_('robust-orientation')\r\n\r\nvar mvp        = new Array(16)\r\nvar imvp       = new Array(16)\r\nvar pCubeVerts = new Array(8)\r\nvar cubeVerts  = new Array(8)\r\nvar x          = new Array(3)\r\nvar zero3      = [0,0,0]\r\n\r\n;(function() {\r\n  for(var i=0; i<8; ++i) {\r\n    pCubeVerts[i] =[1,1,1,1]\r\n    cubeVerts[i] = [1,1,1]\r\n  }\r\n})()\r\n\r\n\r\nfunction transformHg(result, x, mat) {\r\n  for(var i=0; i<4; ++i) {\r\n    result[i] = mat[12+i]\r\n    for(var j=0; j<3; ++j) {\r\n      result[i] += x[j]*mat[4*j+i]\r\n    }\r\n  }\r\n}\r\n\r\nvar FRUSTUM_PLANES = [\r\n  [ 0, 0, 1, 0, 0],\r\n  [ 0, 0,-1, 1, 0],\r\n  [ 0,-1, 0, 1, 0],\r\n  [ 0, 1, 0, 1, 0],\r\n  [-1, 0, 0, 1, 0],\r\n  [ 1, 0, 0, 1, 0]\r\n]\r\n\r\nfunction polygonArea(p) {\r\n  for(var i=0; i<FRUSTUM_PLANES.length; ++i) {\r\n    p = splitPoly.positive(p, FRUSTUM_PLANES[i])\r\n    if(p.length < 3) {\r\n      return 0\r\n    }\r\n  }\r\n\r\n  var base = p[0]\r\n  var ax = base[0] / base[3]\r\n  var ay = base[1] / base[3]\r\n  var area = 0.0\r\n  for(var i=1; i+1<p.length; ++i) {\r\n    var b = p[i]\r\n    var c = p[i+1]\r\n\r\n    var bx = b[0]/b[3]\r\n    var by = b[1]/b[3]\r\n    var cx = c[0]/c[3]\r\n    var cy = c[1]/c[3]\r\n\r\n    var ux = bx - ax\r\n    var uy = by - ay\r\n\r\n    var vx = cx - ax\r\n    var vy = cy - ay\r\n\r\n    area += Math.abs(ux * vy - uy * vx)\r\n  }\r\n\r\n  return area\r\n}\r\n\r\nvar CUBE_EDGES = [1,1,1]\r\nvar CUBE_AXIS  = [0,0,0]\r\nvar CUBE_RESULT = {\r\n  cubeEdges: CUBE_EDGES,\r\n  axis: CUBE_AXIS\r\n}\r\n\r\nfunction getCubeEdges(model, view, projection, bounds) {\r\n\r\n  //Concatenate matrices\r\n  multiply(mvp, view, model)\r\n  multiply(mvp, projection, mvp)\r\n  \r\n  //First project cube vertices\r\n  var ptr = 0\r\n  for(var i=0; i<2; ++i) {\r\n    x[2] = bounds[i][2]\r\n    for(var j=0; j<2; ++j) {\r\n      x[1] = bounds[j][1]\r\n      for(var k=0; k<2; ++k) {\r\n        x[0] = bounds[k][0]\r\n        transformHg(pCubeVerts[ptr], x, mvp)\r\n        ptr += 1\r\n      }\r\n    }\r\n  }\r\n\r\n  //Classify camera against cube faces\r\n  var closest = -1\r\n\r\n  for(var i=0; i<8; ++i) {\r\n    var w = pCubeVerts[i][3]\r\n    for(var l=0; l<3; ++l) {\r\n      cubeVerts[i][l] = pCubeVerts[i][l] / w\r\n    }\r\n    if(w < 0) {\r\n      if(closest < 0) {\r\n        closest = i\r\n      } else if(cubeVerts[i][2] < cubeVerts[closest][2]) {\r\n        closest = i\r\n      }\r\n    }    \r\n  }\r\n\r\n  if(closest < 0) {\r\n    closest = 0\r\n    for(var d=0; d<3; ++d) {\r\n      var u = (d+2) % 3\r\n      var v = (d+1) % 3\r\n      var o0 = -1\r\n      var o1 = -1\r\n      for(var s=0; s<2; ++s) {\r\n        var f0 = (s<<d)\r\n        var f1 = f0 + (s << u) + ((1-s) << v)\r\n        var f2 = f0 + ((1-s) << u) + (s << v)\r\n        if(orient(cubeVerts[f0], cubeVerts[f1], cubeVerts[f2], zero3) < 0) {\r\n          continue\r\n        }\r\n        if(s) {\r\n          o0 = 1\r\n        } else {\r\n          o1 = 1\r\n        }\r\n      }\r\n      if(o0 < 0 || o1 < 0) {\r\n        if(o1 > o0) {\r\n          closest |= 1<<d\r\n        }\r\n        continue\r\n      } \r\n      for(var s=0; s<2; ++s) {\r\n        var f0 = (s<<d)\r\n        var f1 = f0 + (s << u) + ((1-s) << v)\r\n        var f2 = f0 + ((1-s) << u) + (s << v)    \r\n        var o = polygonArea([\r\n            pCubeVerts[f0], \r\n            pCubeVerts[f1], \r\n            pCubeVerts[f2], \r\n            pCubeVerts[f0+(1<<u)+(1<<v)]])\r\n        if(s) {\r\n          o0 = o\r\n        } else {\r\n          o1 = o\r\n        }\r\n      }\r\n      if(o1 > o0) {\r\n        closest |= 1<<d\r\n        continue\r\n      }\r\n    }\r\n  }\r\n\r\n  var farthest = 7^closest\r\n\r\n  //Find lowest vertex which is not closest closest\r\n  var bottom = -1\r\n  for(var i=0; i<8; ++i) {\r\n    if(i === closest || i === farthest) {\r\n      continue\r\n    }\r\n    if(bottom < 0) {\r\n      bottom = i\r\n    } else if(cubeVerts[bottom][1] > cubeVerts[i][1]) {\r\n      bottom = i\r\n    }\r\n  }\r\n\r\n  //Find left/right neighbors of bottom vertex\r\n  var left = -1\r\n  for(var i=0; i<3; ++i) {\r\n    var idx = bottom ^ (1<<i)\r\n    if(idx === closest || idx === farthest) {\r\n      continue\r\n    }\r\n    if(left < 0) {\r\n      left = idx\r\n    }\r\n    var v = cubeVerts[idx]\r\n    if(v[0] < cubeVerts[left][0]) {\r\n      left = idx\r\n    }\r\n  }\r\n  var right = -1\r\n  for(var i=0; i<3; ++i) {\r\n    var idx = bottom ^ (1<<i)\r\n    if(idx === closest || idx === farthest || idx === left) {\r\n      continue\r\n    }\r\n    if(right < 0) {\r\n      right = idx\r\n    }\r\n    var v = cubeVerts[idx]\r\n    if(v[0] > cubeVerts[right][0]) {\r\n      right = idx\r\n    }\r\n  }\r\n\r\n  //Determine edge axis coordinates\r\n  var cubeEdges = CUBE_EDGES\r\n  cubeEdges[0] = cubeEdges[1] = cubeEdges[2] = 0\r\n  cubeEdges[bits.log2(left^bottom)] = bottom&left\r\n  cubeEdges[bits.log2(bottom^right)] = bottom&right\r\n  var top = right ^ 7\r\n  if(top === closest || top === farthest) {\r\n    top = left ^ 7\r\n    cubeEdges[bits.log2(right^top)] = top&right\r\n  } else {\r\n    cubeEdges[bits.log2(left^top)] = top&left\r\n  }\r\n\r\n  //Determine visible faces\r\n  var axis = CUBE_AXIS\r\n  var cutCorner = closest\r\n  for(var d=0; d<3; ++d) {\r\n    if(cutCorner & (1<<d)) {\r\n      axis[d] = -1\r\n    } else {\r\n      axis[d] = 1\r\n    }\r\n  }\r\n\r\n  //Return result\r\n  return CUBE_RESULT\r\n}\n},{\"bit-twiddle\":80,\"gl-mat4/invert\":254,\"gl-mat4/multiply\":256,\"robust-orientation\":486,\"split-polygon\":503}],225:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports    = createLines\r\n\r\nvar createBuffer  = _dereq_('gl-buffer')\r\nvar createVAO     = _dereq_('gl-vao')\r\nvar createShader  = _dereq_('./shaders').line\r\n\r\nvar MAJOR_AXIS = [0,0,0]\r\nvar MINOR_AXIS = [0,0,0]\r\nvar SCREEN_AXIS = [0,0,0]\r\nvar OFFSET_VEC = [0,0,0]\r\nvar SHAPE = [1,1]\r\n\r\nfunction zeroVec(a) {\r\n  a[0] = a[1] = a[2] = 0\r\n  return a\r\n}\r\n\r\nfunction copyVec(a,b) {\r\n  a[0] = b[0]\r\n  a[1] = b[1]\r\n  a[2] = b[2]\r\n  return a\r\n}\r\n\r\nfunction Lines(gl, vertBuffer, vao, shader, tickCount, tickOffset, gridCount, gridOffset) {\r\n  this.gl         = gl\r\n  this.vertBuffer = vertBuffer\r\n  this.vao        = vao\r\n  this.shader     = shader\r\n  this.tickCount  = tickCount\r\n  this.tickOffset = tickOffset\r\n  this.gridCount  = gridCount\r\n  this.gridOffset = gridOffset\r\n}\r\n\r\nvar proto = Lines.prototype\r\n\r\nproto.bind = function(model, view, projection) {\r\n  this.shader.bind()\r\n  this.shader.uniforms.model = model\r\n  this.shader.uniforms.view = view\r\n  this.shader.uniforms.projection = projection\r\n\r\n  SHAPE[0] = this.gl.drawingBufferWidth\r\n  SHAPE[1] = this.gl.drawingBufferHeight\r\n\r\n  this.shader.uniforms.screenShape = SHAPE\r\n  this.vao.bind()\r\n}\r\n\r\nproto.unbind = function() {\r\n  this.vao.unbind()\r\n}\r\n\r\nproto.drawAxisLine = function(j, bounds, offset, color, lineWidth) {\r\n  var minorAxis = zeroVec(MINOR_AXIS)\r\n  this.shader.uniforms.majorAxis = MINOR_AXIS\r\n\r\n  minorAxis[j] = bounds[1][j] - bounds[0][j]\r\n  this.shader.uniforms.minorAxis = minorAxis\r\n\r\n  var noffset = copyVec(OFFSET_VEC, offset)\r\n  noffset[j] += bounds[0][j]\r\n  this.shader.uniforms.offset = noffset\r\n\r\n  this.shader.uniforms.lineWidth = lineWidth\r\n\r\n  this.shader.uniforms.color = color\r\n\r\n  var screenAxis = zeroVec(SCREEN_AXIS)\r\n  screenAxis[(j+2)%3] = 1\r\n  this.shader.uniforms.screenAxis = screenAxis\r\n  this.vao.draw(this.gl.TRIANGLES, 6)\r\n\r\n  var screenAxis = zeroVec(SCREEN_AXIS)\r\n  screenAxis[(j+1)%3] = 1\r\n  this.shader.uniforms.screenAxis = screenAxis\r\n  this.vao.draw(this.gl.TRIANGLES, 6)\r\n}\r\n\r\nproto.drawAxisTicks = function(j, offset, minorAxis, color, lineWidth) {\r\n  if(!this.tickCount[j]) {\r\n    return\r\n  }\r\n\r\n  var majorAxis = zeroVec(MAJOR_AXIS)\r\n  majorAxis[j]  = 1\r\n  this.shader.uniforms.majorAxis = majorAxis\r\n  this.shader.uniforms.offset    = offset\r\n  this.shader.uniforms.minorAxis = minorAxis\r\n  this.shader.uniforms.color     = color\r\n  this.shader.uniforms.lineWidth = lineWidth\r\n\r\n  var screenAxis = zeroVec(SCREEN_AXIS)\r\n  screenAxis[j] = 1\r\n  this.shader.uniforms.screenAxis = screenAxis\r\n  this.vao.draw(this.gl.TRIANGLES, this.tickCount[j], this.tickOffset[j])\r\n}\r\n\r\n\r\nproto.drawGrid = function(i, j, bounds, offset, color, lineWidth) {\r\n  if(!this.gridCount[i]) {\r\n    return\r\n  }\r\n\r\n  var minorAxis = zeroVec(MINOR_AXIS)\r\n  minorAxis[j]  = bounds[1][j] - bounds[0][j]\r\n  this.shader.uniforms.minorAxis = minorAxis\r\n\r\n  var noffset = copyVec(OFFSET_VEC, offset)\r\n  noffset[j] += bounds[0][j]\r\n  this.shader.uniforms.offset = noffset\r\n\r\n  var majorAxis = zeroVec(MAJOR_AXIS)\r\n  majorAxis[i]  = 1\r\n  this.shader.uniforms.majorAxis = majorAxis\r\n\r\n  var screenAxis = zeroVec(SCREEN_AXIS)\r\n  screenAxis[i] = 1\r\n  this.shader.uniforms.screenAxis = screenAxis\r\n  this.shader.uniforms.lineWidth = lineWidth\r\n\r\n  this.shader.uniforms.color = color\r\n  this.vao.draw(this.gl.TRIANGLES, this.gridCount[i], this.gridOffset[i])\r\n}\r\n\r\nproto.drawZero = function(j, i, bounds, offset, color, lineWidth) {\r\n  var minorAxis = zeroVec(MINOR_AXIS)\r\n  this.shader.uniforms.majorAxis = minorAxis\r\n\r\n  minorAxis[j] = bounds[1][j] - bounds[0][j]\r\n  this.shader.uniforms.minorAxis = minorAxis\r\n\r\n  var noffset = copyVec(OFFSET_VEC, offset)\r\n  noffset[j] += bounds[0][j]\r\n  this.shader.uniforms.offset = noffset\r\n\r\n  var screenAxis = zeroVec(SCREEN_AXIS)\r\n  screenAxis[i] = 1\r\n  this.shader.uniforms.screenAxis = screenAxis\r\n  this.shader.uniforms.lineWidth = lineWidth\r\n\r\n  this.shader.uniforms.color = color\r\n  this.vao.draw(this.gl.TRIANGLES, 6)\r\n}\r\n\r\nproto.dispose = function() {\r\n  this.vao.dispose()\r\n  this.vertBuffer.dispose()\r\n  this.shader.dispose()\r\n}\r\n\r\nfunction createLines(gl, bounds, ticks) {\r\n  var vertices    = []\r\n  var tickOffset  = [0,0,0]\r\n  var tickCount   = [0,0,0]\r\n\r\n  //Create grid lines for each axis/direction\r\n  var gridOffset = [0,0,0]\r\n  var gridCount  = [0,0,0]\r\n\r\n  //Add zero line\r\n  vertices.push(\r\n    0,0,1,   0,1,1,   0,0,-1,\r\n    0,0,-1,  0,1,1,   0,1,-1)\r\n\r\n  for(var i=0; i<3; ++i) {\r\n    //Axis tick marks\r\n    var start = ((vertices.length / 3)|0)\r\n    for(var j=0; j<ticks[i].length; ++j) {\r\n      var x = +ticks[i][j].x\r\n      vertices.push(\r\n        x,0,1,   x,1,1,   x,0,-1,\r\n        x,0,-1,  x,1,1,   x,1,-1)\r\n    }\r\n    var end = ((vertices.length / 3)|0)\r\n    tickOffset[i] = start\r\n    tickCount[i]  = end - start\r\n\r\n    //Grid lines\r\n    var start = ((vertices.length / 3)|0)\r\n    for(var k=0; k<ticks[i].length; ++k) {\r\n      var x = +ticks[i][k].x\r\n      vertices.push(\r\n        x,0,1,   x,1,1,   x,0,-1,\r\n        x,0,-1,  x,1,1,   x,1,-1)\r\n    }\r\n    var end = ((vertices.length / 3)|0)\r\n    gridOffset[i] = start\r\n    gridCount[i]  = end - start\r\n  }\r\n\r\n  //Create cube VAO\r\n  var vertBuf = createBuffer(gl, new Float32Array(vertices))\r\n  var vao = createVAO(gl, [\r\n    { \"buffer\": vertBuf,\r\n      \"type\": gl.FLOAT,\r\n      \"size\": 3,\r\n      \"stride\": 0,\r\n      \"offset\": 0\r\n    }\r\n  ])\r\n  var shader = createShader(gl)\r\n  shader.attributes.position.location = 0\r\n  return new Lines(gl, vertBuf, vao, shader, tickCount, tickOffset, gridCount, gridOffset)\r\n}\r\n\n},{\"./shaders\":226,\"gl-buffer\":230,\"gl-vao\":310}],226:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar glslify = _dereq_('glslify')\r\nvar createShader = _dereq_('gl-shader')\r\n\r\nvar lineVert = glslify([\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"])\r\nvar lineFrag = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"])\r\nexports.line = function(gl) {\r\n  return createShader(gl, lineVert, lineFrag, null, [\r\n    {name: 'position', type: 'vec3'}\r\n  ])\r\n}\r\n\r\nvar textVert = glslify([\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"])\r\nvar textFrag = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"])\r\nexports.text = function(gl) {\r\n  return createShader(gl, textVert, textFrag, null, [\r\n    {name: 'position', type: 'vec3'}\r\n  ])\r\n}\r\n\r\nvar bgVert = glslify([\"#define GLSLIFY 1\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"])\r\nvar bgFrag = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"])\r\nexports.bg = function(gl) {\r\n  return createShader(gl, bgVert, bgFrag, null, [\r\n    {name: 'position', type: 'vec3'},\r\n    {name: 'normal', type: 'vec3'}\r\n  ])\r\n}\r\n\n},{\"gl-shader\":288,\"glslify\":392}],227:[function(_dereq_,module,exports){\n(function (process){\n\"use strict\"\r\n\r\nmodule.exports = createTextSprites\r\n\r\nvar createBuffer  = _dereq_('gl-buffer')\r\nvar createVAO     = _dereq_('gl-vao')\r\nvar vectorizeText = _dereq_('vectorize-text')\r\nvar createShader  = _dereq_('./shaders').text\r\n\r\nvar globals = window || process.global || {}\r\nvar __TEXT_CACHE  = globals.__TEXT_CACHE || {}\r\nglobals.__TEXT_CACHE = {}\r\n\r\n//Vertex buffer format for text is:\r\n//\r\n/// [x,y,z] = Spatial coordinate\r\n//\r\n\r\nvar VERTEX_SIZE = 3\r\nvar VERTEX_STRIDE = VERTEX_SIZE * 4\r\n\r\nfunction TextSprites(\r\n  gl,\r\n  shader,\r\n  buffer,\r\n  vao) {\r\n  this.gl           = gl\r\n  this.shader       = shader\r\n  this.buffer       = buffer\r\n  this.vao          = vao\r\n  this.tickOffset   =\r\n  this.tickCount    =\r\n  this.labelOffset  =\r\n  this.labelCount   = null\r\n}\r\n\r\nvar proto = TextSprites.prototype\r\n\r\n//Bind textures for rendering\r\nvar SHAPE = [0,0]\r\nproto.bind = function(model, view, projection, pixelScale) {\r\n  this.vao.bind()\r\n  this.shader.bind()\r\n  var uniforms = this.shader.uniforms\r\n  uniforms.model = model\r\n  uniforms.view = view\r\n  uniforms.projection = projection\r\n  uniforms.pixelScale = pixelScale\r\n  SHAPE[0] = this.gl.drawingBufferWidth\r\n  SHAPE[1] = this.gl.drawingBufferHeight\r\n  this.shader.uniforms.resolution = SHAPE\r\n}\r\n\r\nproto.unbind = function() {\r\n  this.vao.unbind()\r\n}\r\n\r\nproto.update = function(bounds, labels, labelFont, ticks, tickFont) {\r\n  var gl = this.gl\r\n  var data = []\r\n\r\n  function addItem(t, text, font, size) {\r\n    var fontcache = __TEXT_CACHE[font]\r\n    if(!fontcache) {\r\n      fontcache = __TEXT_CACHE[font] = {}\r\n    }\r\n    var mesh = fontcache[text]\r\n    if(!mesh) {\r\n      mesh = fontcache[text] = tryVectorizeText(text, {\r\n        triangles: true,\r\n        font: font,\r\n        textAlign: 'center',\r\n        textBaseline: 'middle'\r\n      })\r\n    }\r\n    var scale = (size || 12) / 12\r\n    var positions = mesh.positions\r\n    var cells = mesh.cells\r\n    var lo = [ Infinity, Infinity]\r\n    var hi = [-Infinity,-Infinity]\r\n    for(var i=0, nc=cells.length; i<nc; ++i) {\r\n      var c = cells[i]\r\n      for(var j=2; j>=0; --j) {\r\n        var p = positions[c[j]]\r\n        data.push(scale*p[0], -scale*p[1], t)\r\n      }\r\n    }\r\n  }\r\n\r\n  //Generate sprites for all 3 axes, store data in texture atlases\r\n  var tickOffset  = [0,0,0]\r\n  var tickCount   = [0,0,0]\r\n  var labelOffset = [0,0,0]\r\n  var labelCount  = [0,0,0]\r\n  for(var d=0; d<3; ++d) {\r\n\r\n    //Generate label\r\n    labelOffset[d] = (data.length/VERTEX_SIZE)|0\r\n    addItem(0.5*(bounds[0][d]+bounds[1][d]), labels[d], labelFont)\r\n    labelCount[d] = ((data.length/VERTEX_SIZE)|0) - labelOffset[d]\r\n\r\n    //Generate sprites for tick marks\r\n    tickOffset[d] = (data.length/VERTEX_SIZE)|0\r\n    for(var i=0; i<ticks[d].length; ++i) {\r\n      if(!ticks[d][i].text) {\r\n        continue\r\n      }\r\n      addItem(\r\n        ticks[d][i].x,\r\n        ticks[d][i].text,\r\n        ticks[d][i].font || tickFont,\r\n        ticks[d][i].fontSize || 12)\r\n    }\r\n    tickCount[d] = ((data.length/VERTEX_SIZE)|0) - tickOffset[d]\r\n  }\r\n\r\n  this.buffer.update(data)\r\n  this.tickOffset = tickOffset\r\n  this.tickCount = tickCount\r\n  this.labelOffset = labelOffset\r\n  this.labelCount = labelCount\r\n}\r\n\r\n//Draws the tick marks for an axis\r\nproto.drawTicks = function(d, scale, angle, offset, color, axis, alignDir, alignOpt) {\r\n  if(!this.tickCount[d]) {\r\n    return\r\n  }\r\n\r\n  this.shader.uniforms.axis = axis\r\n  this.shader.uniforms.color = color\r\n  this.shader.uniforms.angle = angle\r\n  this.shader.uniforms.scale = scale\r\n  this.shader.uniforms.offset = offset\r\n  this.shader.uniforms.alignDir = alignDir\r\n  this.shader.uniforms.alignOpt = alignOpt\r\n  this.vao.draw(this.gl.TRIANGLES, this.tickCount[d], this.tickOffset[d])\r\n}\r\n\r\n//Draws the text label for an axis\r\nproto.drawLabel = function(d, scale, angle, offset, color, axis, alignDir, alignOpt) {\r\n  if(!this.labelCount[d]) {\r\n    return\r\n  }\r\n\r\n  this.shader.uniforms.axis = axis\r\n  this.shader.uniforms.color = color\r\n  this.shader.uniforms.angle = angle\r\n  this.shader.uniforms.scale = scale\r\n  this.shader.uniforms.offset = offset\r\n  this.shader.uniforms.alignDir = alignDir\r\n  this.shader.uniforms.alignOpt = alignOpt\r\n  this.vao.draw(this.gl.TRIANGLES, this.labelCount[d], this.labelOffset[d])\r\n}\r\n\r\n//Releases all resources attached to this object\r\nproto.dispose = function() {\r\n  this.shader.dispose()\r\n  this.vao.dispose()\r\n  this.buffer.dispose()\r\n}\r\n\r\nfunction tryVectorizeText(text, options) {\r\n  try {\r\n    return vectorizeText(text, options)\r\n  } catch(e) {\r\n    console.warn('error vectorizing text:', e)\r\n    return {\r\n      cells: [],\r\n      positions: []\r\n    }\r\n  }\r\n}\r\n\r\nfunction createTextSprites(\r\n    gl,\r\n    bounds,\r\n    labels,\r\n    labelFont,\r\n    ticks,\r\n    tickFont) {\r\n\r\n  var buffer = createBuffer(gl)\r\n  var vao = createVAO(gl, [\r\n    { \"buffer\": buffer,\r\n      \"size\": 3\r\n    }\r\n  ])\r\n\r\n  var shader = createShader(gl)\r\n  shader.attributes.position.location = 0\r\n\r\n  var result = new TextSprites(\r\n    gl,\r\n    shader,\r\n    buffer,\r\n    vao)\r\n\r\n  result.update(bounds, labels, labelFont, ticks, tickFont)\r\n\r\n  return result\r\n}\r\n\n}).call(this,_dereq_('_process'))\n},{\"./shaders\":226,\"_process\":465,\"gl-buffer\":230,\"gl-vao\":310,\"vectorize-text\":527}],228:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nexports.create   = defaultTicks\r\nexports.equal    = ticksEqual\r\n\r\nfunction prettyPrint(spacing, i) {\r\n  var stepStr = spacing + \"\"\r\n  var u = stepStr.indexOf(\".\")\r\n  var sigFigs = 0\r\n  if(u >= 0) {\r\n    sigFigs = stepStr.length - u - 1\r\n  }\r\n  var shift = Math.pow(10, sigFigs)\r\n  var x = Math.round(spacing * i * shift)\r\n  var xstr = x + \"\"\r\n  if(xstr.indexOf(\"e\") >= 0) {\r\n    return xstr\r\n  }\r\n  var xi = x / shift, xf = x % shift\r\n  if(x < 0) {\r\n    xi = -Math.ceil(xi)|0\r\n    xf = (-xf)|0\r\n  } else {\r\n    xi = Math.floor(xi)|0\r\n    xf = xf|0\r\n  }\r\n  var xis = \"\" + xi \r\n  if(x < 0) {\r\n    xis = \"-\" + xis\r\n  }\r\n  if(sigFigs) {\r\n    var xs = \"\" + xf\r\n    while(xs.length < sigFigs) {\r\n      xs = \"0\" + xs\r\n    }\r\n    return xis + \".\" + xs\r\n  } else {\r\n    return xis\r\n  }\r\n}\r\n\r\nfunction defaultTicks(bounds, tickSpacing) {\r\n  var array = []\r\n  for(var d=0; d<3; ++d) {\r\n    var ticks = []\r\n    var m = 0.5*(bounds[0][d]+bounds[1][d])\r\n    for(var t=0; t*tickSpacing[d]<=bounds[1][d]; ++t) {\r\n      ticks.push({x: t*tickSpacing[d], text: prettyPrint(tickSpacing[d], t)})\r\n    }\r\n    for(var t=-1; t*tickSpacing[d]>=bounds[0][d]; --t) {\r\n      ticks.push({x: t*tickSpacing[d], text: prettyPrint(tickSpacing[d], t)})\r\n    }\r\n    array.push(ticks)\r\n  }\r\n  return array\r\n}\r\n\r\nfunction ticksEqual(ticksA, ticksB) {\r\n  for(var i=0; i<3; ++i) {\r\n    if(ticksA[i].length !== ticksB[i].length) {\r\n      return false\r\n    }\r\n    for(var j=0; j<ticksA[i].length; ++j) {\r\n      var a = ticksA[i][j]\r\n      var b = ticksB[i][j]\r\n      if(\r\n        a.x !== b.x ||\r\n        a.text !== b.text ||\r\n        a.font !== b.font ||\r\n        a.fontColor !== b.fontColor ||\r\n        a.fontSize !== b.fontSize ||\r\n        a.dx !== b.dx ||\r\n        a.dy !== b.dy\r\n      ) {\r\n        return false\r\n      }\r\n    }\r\n  }\r\n  return true\r\n}\n},{}],229:[function(_dereq_,module,exports){\n\"use strict\"\r\n\r\nmodule.exports = axesProperties\r\n\r\nvar getPlanes   = _dereq_(\"extract-frustum-planes\")\r\nvar splitPoly   = _dereq_(\"split-polygon\")\r\nvar cubeParams  = _dereq_(\"./lib/cube.js\")\r\nvar m4mul       = _dereq_(\"gl-mat4/multiply\")\r\nvar m4transpose = _dereq_(\"gl-mat4/transpose\")\r\nvar v4transformMat4 = _dereq_(\"gl-vec4/transformMat4\")\r\n\r\nvar identity    = new Float32Array([\r\n    1, 0, 0, 0,\r\n    0, 1, 0, 0,\r\n    0, 0, 1, 0,\r\n    0, 0, 0, 1\r\n  ])\r\n\r\nvar mvp         = new Float32Array(16)\r\n\r\nfunction AxesRange3D(lo, hi, pixelsPerDataUnit) {\r\n  this.lo = lo\r\n  this.hi = hi\r\n  this.pixelsPerDataUnit = pixelsPerDataUnit\r\n}\r\n\r\nvar SCRATCH_P = [0,0,0,1]\r\nvar SCRATCH_Q = [0,0,0,1]\r\n\r\nfunction gradient(result, M, v, width, height) {\r\n  for(var i=0; i<3; ++i) {\r\n    var p = SCRATCH_P\r\n    var q = SCRATCH_Q\r\n    for(var j=0; j<3; ++j) {\r\n      q[j] = p[j] = v[j]\r\n    }\r\n    q[3] = p[3] = 1\r\n\r\n    q[i] += 1\r\n    v4transformMat4(q, q, M)\r\n    if(q[3] < 0) {\r\n      result[i] = Infinity\r\n    }\r\n\r\n    p[i] -= 1\r\n    v4transformMat4(p, p, M)\r\n    if(p[3] < 0) {\r\n      result[i] = Infinity\r\n    }\r\n\r\n    var dx = (p[0]/p[3] - q[0]/q[3]) * width\r\n    var dy = (p[1]/p[3] - q[1]/q[3]) * height\r\n\r\n    result[i] = 0.25 * Math.sqrt(dx*dx + dy*dy)\r\n  }\r\n  return result\r\n}\r\n\r\nvar RANGES = [\r\n  new AxesRange3D(Infinity, -Infinity, Infinity),\r\n  new AxesRange3D(Infinity, -Infinity, Infinity),\r\n  new AxesRange3D(Infinity, -Infinity, Infinity)\r\n]\r\n\r\nvar SCRATCH_X = [0,0,0]\r\n\r\nfunction axesProperties(axes, camera, width, height, params) {\r\n  var model       = camera.model || identity\r\n  var view        = camera.view || identity\r\n  var projection  = camera.projection || identity\r\n  var bounds      = axes.bounds\r\n  var params      = params || cubeParams(model, view, projection, bounds)\r\n  var axis        = params.axis\r\n  var edges       = params.edges\r\n\r\n  m4mul(mvp, view, model)\r\n  m4mul(mvp, projection, mvp)\r\n\r\n  //Calculate the following properties for each axis:\r\n  //\r\n  // * lo - start of visible range for each axis in tick coordinates\r\n  // * hi - end of visible range for each axis in tick coordinates\r\n  // * ticksPerPixel - pixel density of tick marks for the axis\r\n  //\r\n  var ranges = RANGES\r\n  for(var i=0; i<3; ++i) {\r\n    ranges[i].lo = Infinity\r\n    ranges[i].hi = -Infinity\r\n    ranges[i].pixelsPerDataUnit = Infinity\r\n  }\r\n\r\n  //Compute frustum planes, intersect with box\r\n  var frustum = getPlanes(m4transpose(mvp, mvp))\r\n  m4transpose(mvp, mvp)\r\n\r\n  //Loop over vertices of viewable box\r\n  for(var d=0; d<3; ++d) {\r\n    var u = (d+1)%3\r\n    var v = (d+2)%3\r\n    var x = SCRATCH_X\r\ni_loop:\r\n    for(var i=0; i<2; ++i) {\r\n      var poly = []\r\n\r\n      if((axis[d] < 0) === !!i) {\r\n        continue\r\n      }\r\n\r\n      x[d] = bounds[i][d]\r\n      for(var j=0; j<2; ++j) {\r\n        x[u] = bounds[j^i][u]\r\n        for(var k=0; k<2; ++k) {\r\n          x[v] = bounds[k^j^i][v]\r\n          poly.push(x.slice())\r\n        }\r\n      }\r\n      for(var j=0; j<frustum.length; ++j) {\r\n        if(poly.length === 0) {\r\n          continue i_loop\r\n        }\r\n        poly = splitPoly.positive(poly, frustum[j])\r\n      }\r\n\r\n      //Loop over vertices of polygon to find extremal points\r\n      for(var j=0; j<poly.length; ++j) {\r\n        var v = poly[j]\r\n        var grad = gradient(SCRATCH_X, mvp, v, width, height)\r\n        for(var k=0; k<3; ++k) {\r\n          ranges[k].lo = Math.min(ranges[k].lo, v[k])\r\n          ranges[k].hi = Math.max(ranges[k].hi, v[k])\r\n          if(k !== d) {\r\n            ranges[k].pixelsPerDataUnit = Math.min(ranges[k].pixelsPerDataUnit, Math.abs(grad[k]))\r\n          }\r\n        }\r\n      }\r\n    }\r\n  }\r\n\r\n  return ranges\r\n}\r\n\n},{\"./lib/cube.js\":224,\"extract-frustum-planes\":213,\"gl-mat4/multiply\":256,\"gl-mat4/transpose\":264,\"gl-vec4/transformMat4\":381,\"split-polygon\":503}],230:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar pool = _dereq_(\"typedarray-pool\")\nvar ops = _dereq_(\"ndarray-ops\")\nvar ndarray = _dereq_(\"ndarray\")\n\nvar SUPPORTED_TYPES = [\n  \"uint8\",\n  \"uint8_clamped\",\n  \"uint16\",\n  \"uint32\",\n  \"int8\",\n  \"int16\",\n  \"int32\",\n  \"float32\" ]\n\nfunction GLBuffer(gl, type, handle, length, usage) {\n  this.gl = gl\n  this.type = type\n  this.handle = handle\n  this.length = length\n  this.usage = usage\n}\n\nvar proto = GLBuffer.prototype\n\nproto.bind = function() {\n  this.gl.bindBuffer(this.type, this.handle)\n}\n\nproto.unbind = function() {\n  this.gl.bindBuffer(this.type, null)\n}\n\nproto.dispose = function() {\n  this.gl.deleteBuffer(this.handle)\n}\n\nfunction updateTypeArray(gl, type, len, usage, data, offset) {\n  var dataLen = data.length * data.BYTES_PER_ELEMENT\n  if(offset < 0) {\n    gl.bufferData(type, data, usage)\n    return dataLen\n  }\n  if(dataLen + offset > len) {\n    throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\")\n  }\n  gl.bufferSubData(type, offset, data)\n  return len\n}\n\nfunction makeScratchTypeArray(array, dtype) {\n  var res = pool.malloc(array.length, dtype)\n  var n = array.length\n  for(var i=0; i<n; ++i) {\n    res[i] = array[i]\n  }\n  return res\n}\n\nfunction isPacked(shape, stride) {\n  var n = 1\n  for(var i=stride.length-1; i>=0; --i) {\n    if(stride[i] !== n) {\n      return false\n    }\n    n *= shape[i]\n  }\n  return true\n}\n\nproto.update = function(array, offset) {\n  if(typeof offset !== \"number\") {\n    offset = -1\n  }\n  this.bind()\n  if(typeof array === \"object\" && typeof array.shape !== \"undefined\") { //ndarray\n    var dtype = array.dtype\n    if(SUPPORTED_TYPES.indexOf(dtype) < 0) {\n      dtype = \"float32\"\n    }\n    if(this.type === this.gl.ELEMENT_ARRAY_BUFFER) {\n      var ext = gl.getExtension('OES_element_index_uint')\n      if(ext && dtype !== \"uint16\") {\n        dtype = \"uint32\"\n      } else {\n        dtype = \"uint16\"\n      }\n    }\n    if(dtype === array.dtype && isPacked(array.shape, array.stride)) {\n      if(array.offset === 0 && array.data.length === array.shape[0]) {\n        this.length = updateTypeArray(this.gl, this.type, this.length, this.usage, array.data, offset)\n      } else {\n        this.length = updateTypeArray(this.gl, this.type, this.length, this.usage, array.data.subarray(array.offset, array.shape[0]), offset)\n      }\n    } else {\n      var tmp = pool.malloc(array.size, dtype)\n      var ndt = ndarray(tmp, array.shape)\n      ops.assign(ndt, array)\n      if(offset < 0) {\n        this.length = updateTypeArray(this.gl, this.type, this.length, this.usage, tmp, offset)\n      } else {\n        this.length = updateTypeArray(this.gl, this.type, this.length, this.usage, tmp.subarray(0, array.size), offset)\n      }\n      pool.free(tmp)\n    }\n  } else if(Array.isArray(array)) { //Vanilla array\n    var t\n    if(this.type === this.gl.ELEMENT_ARRAY_BUFFER) {\n      t = makeScratchTypeArray(array, \"uint16\")\n    } else {\n      t = makeScratchTypeArray(array, \"float32\")\n    }\n    if(offset < 0) {\n      this.length = updateTypeArray(this.gl, this.type, this.length, this.usage, t, offset)\n    } else {\n      this.length = updateTypeArray(this.gl, this.type, this.length, this.usage, t.subarray(0, array.length), offset)\n    }\n    pool.free(t)\n  } else if(typeof array === \"object\" && typeof array.length === \"number\") { //Typed array\n    this.length = updateTypeArray(this.gl, this.type, this.length, this.usage, array, offset)\n  } else if(typeof array === \"number\" || array === undefined) { //Number/default\n    if(offset >= 0) {\n      throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\")\n    }\n    array = array | 0\n    if(array <= 0) {\n      array = 1\n    }\n    this.gl.bufferData(this.type, array|0, this.usage)\n    this.length = array\n  } else { //Error, case should not happen\n    throw new Error(\"gl-buffer: Invalid data type\")\n  }\n}\n\nfunction createBuffer(gl, data, type, usage) {\n  type = type || gl.ARRAY_BUFFER\n  usage = usage || gl.DYNAMIC_DRAW\n  if(type !== gl.ARRAY_BUFFER && type !== gl.ELEMENT_ARRAY_BUFFER) {\n    throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\")\n  }\n  if(usage !== gl.DYNAMIC_DRAW && usage !== gl.STATIC_DRAW && usage !== gl.STREAM_DRAW) {\n    throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\")\n  }\n  var handle = gl.createBuffer()\n  var result = new GLBuffer(gl, type, handle, 0, usage)\n  result.update(data)\n  return result\n}\n\nmodule.exports = createBuffer\n\n},{\"ndarray\":433,\"ndarray-ops\":427,\"typedarray-pool\":522}],231:[function(_dereq_,module,exports){\n\"use strict\";\r\n\r\nvar V = _dereq_('gl-vec3');\r\nvar V4 = _dereq_('gl-vec4');\r\n\r\nvar vec3 = function(x, y, z) {\r\n\tvar v = V.create();\r\n\tif (x !== undefined) {\r\n\t\tV.set(v, x, y, z);\r\n\t}\r\n\treturn v;\r\n}\r\n\r\nvar createPositionsForMeshgrid = function(meshgrid) {\r\n\tvar xs = meshgrid[0], ys = meshgrid[1], zs = meshgrid[2];\r\n\tvar positions = [];\r\n\tfor (var z=0; z<zs.length; z++) {\r\n\t\tfor (var y=0; y<ys.length; y++) {\r\n\t\t\tfor (var x=0; x<xs.length; x++) {\r\n\t\t\t\tpositions.push([zs[z], ys[y], xs[x]]);\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n\treturn positions;\r\n};\r\n\r\nvar findLastSmallerIndex = function(points, v) {\r\n\tfor (var i=0; i<points.length; i++) {\r\n\t\tif (points[i] >= v) {\r\n\t\t\treturn i-1;\r\n\t\t}\r\n\t}\r\n\treturn i;\r\n};\r\n\r\nvar tmp = V.create();\r\nvar tmp2 = V.create();\r\n\r\nvar clamp = function(v, min, max) {\r\n\treturn v < min ? min : (v > max ? max : v);\r\n};\r\n\r\nvar sampleMeshgrid = function(point, array, meshgrid, clampOverflow) {\r\n\tvar x = point[0];\r\n\tvar y = point[1];\r\n\tvar z = point[2];\r\n\r\n\tvar w = meshgrid[0].length;\r\n\tvar h = meshgrid[1].length;\r\n\tvar d = meshgrid[2].length;\r\n\r\n\t// Find the index of the nearest smaller value in the meshgrid for each coordinate of (x,y,z).\r\n\t// The nearest smaller value index for x is the index x0 such that\r\n\t// meshgrid[0][x0] < x and for all x1 > x0, meshgrid[0][x1] >= x.\r\n\tvar x0 = findLastSmallerIndex(meshgrid[0], x);\r\n\tvar y0 = findLastSmallerIndex(meshgrid[1], y);\r\n\tvar z0 = findLastSmallerIndex(meshgrid[2], z);\r\n\r\n\t// Get the nearest larger meshgrid value indices.\r\n\t// From the above \"nearest smaller value\", we know that\r\n\t//   meshgrid[0][x0] < x\r\n\t//   meshgrid[0][x0+1] >= x\r\n\tvar x1 = x0 + 1;\r\n\tvar y1 = y0 + 1;\r\n\tvar z1 = z0 + 1;\r\n\r\n\tif (clampOverflow) {\r\n\t\tx0 = clamp(x0, 0, w-1);\r\n\t\tx1 = clamp(x1, 0, w-1);\r\n\t\ty0 = clamp(y0, 0, h-1);\r\n\t\ty1 = clamp(y1, 0, h-1);\r\n\t\tz0 = clamp(z0, 0, d-1);\r\n\t\tz1 = clamp(z1, 0, d-1);\r\n\t}\r\n\r\n\t// Reject points outside the meshgrid, return a zero vector.\r\n\tif (x0 < 0 || y0 < 0 || z0 < 0 || x1 >= w || y1 >= h || z1 >= d) {\r\n\t\treturn V.create();\r\n\t}\r\n\r\n\t// Normalize point coordinates to 0..1 scaling factor between x0 and x1.\r\n\tvar xf = (x - meshgrid[0][x0]) / (meshgrid[0][x1] - meshgrid[0][x0]);\r\n\tvar yf = (y - meshgrid[1][y0]) / (meshgrid[1][y1] - meshgrid[1][y0]);\r\n\tvar zf = (z - meshgrid[2][z0]) / (meshgrid[2][z1] - meshgrid[2][z0]);\r\n\r\n\tif (xf < 0 || xf > 1 || isNaN(xf)) xf = 0;\r\n\tif (yf < 0 || yf > 1 || isNaN(yf)) yf = 0;\r\n\tif (zf < 0 || zf > 1 || isNaN(zf)) zf = 0;\r\n\r\n\tvar z0off = z0*w*h;\r\n\tvar z1off = z1*w*h;\r\n\r\n\tvar y0off = y0*w;\r\n\tvar y1off = y1*w;\r\n\r\n\tvar x0off = x0;\r\n\tvar x1off = x1;\r\n\r\n\t// Sample data array around the (x,y,z) point.\r\n\t//  vZYX = array[zZoff + yYoff + xXoff]\r\n\tvar v000 = array[y0off + z0off + x0off];\r\n\tvar v001 = array[y0off + z0off + x1off];\r\n\tvar v010 = array[y1off + z0off + x0off];\r\n\tvar v011 = array[y1off + z0off + x1off];\r\n\tvar v100 = array[y0off + z1off + x0off];\r\n\tvar v101 = array[y0off + z1off + x1off];\r\n\tvar v110 = array[y1off + z1off + x0off];\r\n\tvar v111 = array[y1off + z1off + x1off];\r\n\r\n\tvar result = V.create();\r\n\r\n\t// Average samples according to distance to point.\r\n\tV.lerp(result, v000, v001, xf);\r\n\tV.lerp(tmp, v010, v011, xf);\r\n\tV.lerp(result, result, tmp, yf);\r\n\tV.lerp(tmp, v100, v101, xf);\r\n\tV.lerp(tmp2, v110, v111, xf);\r\n\tV.lerp(tmp, tmp, tmp2, yf);\r\n\tV.lerp(result, result, tmp, zf);\r\n\r\n\treturn result;\r\n};\r\n\r\nvar getOrthogonalVector = function(dst, v) {\r\n\t// Return up-vector for only-z vector.\r\n\tif (v[0] === 0 && v[1] === 0) {\r\n\t\tV.set(dst, 0, 1, 0);\r\n\t} else {\r\n\t\t// Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\r\n\t\t// From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\r\n\t\t// Assign z = 0, x = -b, y = a:\r\n\t\t// a*-b + b*a + c*0 = -ba + ba + 0 = 0\r\n\t\tV.set(dst, -v[1], v[0], 0);\r\n\t}\r\n\treturn dst;\r\n};\r\n\r\nmodule.exports = function(vectorfield, bounds) {\r\n\tvar positions;\r\n\tif (vectorfield.positions) {\r\n\t\tpositions = vectorfield.positions;\r\n\t} else {\r\n\t\tpositions = createPositionsForMeshgrid(vectorfield.meshgrid);\r\n\t}\r\n\tvar meshgrid = vectorfield.meshgrid;\r\n\tvar vectors = vectorfield.vectors;\r\n\tvar geo = {\r\n\t\tpositions: [],\r\n\t\tvertexIntensity: [],\r\n\t\tvertexIntensityBounds: vectorfield.vertexIntensityBounds,\r\n\t\tvertexNormals: [],\r\n\t\tvectors: [],\r\n\t\tcells: [],\r\n\t\tconeOffset: vectorfield.coneOffset,\r\n\t\tcolormap: vectorfield.colormap\r\n\t};\r\n\r\n\tif (vectorfield.positions.length === 0) {\r\n\t\tif (bounds) {\r\n\t\t\tbounds[0] = [0,0,0];\r\n\t\t\tbounds[1] = [0,0,0];\r\n\t\t}\r\n\t\treturn geo;\r\n\t}\r\n\r\n\t// Compute bounding box for the dataset.\r\n\t// Compute maximum velocity for the dataset to use for scaling the cones.\r\n\tvar maxNorm = 0;\r\n\tvar minX = 1/0, maxX = -1/0;\r\n\tvar minY = 1/0, maxY = -1/0;\r\n\tvar minZ = 1/0, maxZ = -1/0;\r\n\tvar p2 = null;\r\n\tvar u2 = null;\r\n\tvar positionVectors = [];\r\n\tvar vectorScale = 1/0;\r\n\tfor (var i = 0; i < positions.length; i++) {\r\n\t\tvar p = positions[i];\r\n\t\tminX = Math.min(p[0], minX);\r\n\t\tmaxX = Math.max(p[0], maxX);\r\n\t\tminY = Math.min(p[1], minY);\r\n\t\tmaxY = Math.max(p[1], maxY);\r\n\t\tminZ = Math.min(p[2], minZ);\r\n\t\tmaxZ = Math.max(p[2], maxZ);\r\n\t\tvar u;\r\n\t\tif (meshgrid) {\r\n\t\t\tu = sampleMeshgrid(p, vectors, meshgrid, true);\r\n\t\t} else {\r\n\t\t\tu = vectors[i];\r\n\t\t}\r\n\t\tif (V.length(u) > maxNorm) {\r\n\t\t\tmaxNorm = V.length(u);\r\n\t\t}\r\n\t\tif (i) {\r\n\t\t\t// Find vector scale [w/ units of time] using \"successive\" positions\r\n\t\t\t// (not \"adjacent\" with would be O(n^2)),\r\n\t\t\t//\r\n\t\t\t// The vector scale corresponds to the minimum \"time\" to travel across two\r\n\t\t\t// two adjacent positions at the average velocity of those two adjacent positions\r\n\t\t\tvectorScale = Math.min(vectorScale,\r\n\t\t\t\t2 * V.distance(p2, p) / (V.length(u2) + V.length(u))\r\n\t\t\t);\r\n\t\t}\r\n\t\tp2 = p;\r\n\t\tu2 = u;\r\n\t\tpositionVectors.push(u);\r\n\t}\r\n\tvar minV = [minX, minY, minZ];\r\n\tvar maxV = [maxX, maxY, maxZ];\r\n\tif (bounds) {\r\n\t\tbounds[0] = minV;\r\n\t\tbounds[1] = maxV;\r\n\t}\r\n\tif (maxNorm === 0) {\r\n\t\tmaxNorm = 1;\r\n\t}\r\n\r\n\t// Inverted max norm would map vector with norm maxNorm to 1 coord space units in length\r\n\tvar invertedMaxNorm = 1 / maxNorm;\r\n\r\n\tif (!isFinite(vectorScale) || isNaN(vectorScale)) {\r\n\t\tvectorScale = 1.0;\r\n\t}\r\n\tgeo.vectorScale = vectorScale;\r\n\r\n\tvar nml = vec3(0,1,0);\r\n\r\n\tvar coneScale = vectorfield.coneSize || 0.5;\r\n\r\n\tif (vectorfield.absoluteConeSize) {\r\n\t\tconeScale = vectorfield.absoluteConeSize * invertedMaxNorm;\r\n\t}\r\n\r\n\tgeo.coneScale = coneScale;\r\n\r\n\t// Build the cone model.\r\n\tfor (var i = 0, j = 0; i < positions.length; i++) {\r\n\t\tvar p = positions[i];\r\n\t\tvar x = p[0], y = p[1], z = p[2];\r\n\t\tvar d = positionVectors[i];\r\n\t\tvar intensity = V.length(d) * invertedMaxNorm;\r\n\t\tfor (var k = 0, l = 8; k < l; k++) {\r\n\t\t\tgeo.positions.push([x, y, z, j++]);\r\n\t\t\tgeo.positions.push([x, y, z, j++]);\r\n\t\t\tgeo.positions.push([x, y, z, j++]);\r\n\t\t\tgeo.positions.push([x, y, z, j++]);\r\n\t\t\tgeo.positions.push([x, y, z, j++]);\r\n\t\t\tgeo.positions.push([x, y, z, j++]);\r\n\r\n\t\t\tgeo.vectors.push(d);\r\n\t\t\tgeo.vectors.push(d);\r\n\t\t\tgeo.vectors.push(d);\r\n\t\t\tgeo.vectors.push(d);\r\n\t\t\tgeo.vectors.push(d);\r\n\t\t\tgeo.vectors.push(d);\r\n\r\n\t\t\tgeo.vertexIntensity.push(intensity, intensity, intensity);\r\n\t\t\tgeo.vertexIntensity.push(intensity, intensity, intensity);\r\n\r\n\t\t\tgeo.vertexNormals.push(nml, nml, nml);\r\n\t\t\tgeo.vertexNormals.push(nml, nml, nml);\r\n\r\n\t\t\tvar m = geo.positions.length;\r\n\t\t\tgeo.cells.push([m-6, m-5, m-4], [m-3, m-2, m-1]);\r\n\t\t}\r\n\t}\r\n\r\n\treturn geo;\r\n};\r\n\r\nmodule.exports.createConeMesh = _dereq_('./lib/conemesh');\r\n\n},{\"./lib/conemesh\":233,\"gl-vec3\":329,\"gl-vec4\":365}],232:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar barycentric            = _dereq_('barycentric')\r\nvar closestPointToTriangle = _dereq_('polytope-closest-point/lib/closest_point_2d.js')\r\n\r\nmodule.exports = closestPointToPickLocation\r\n\r\nfunction xformMatrix(m, v) {\r\n  var out = [0,0,0,0]\r\n  for(var i=0; i<4; ++i) {\r\n    for(var j=0; j<4; ++j) {\r\n      out[j] += m[4*i + j] * v[i]\r\n    }\r\n  }\r\n  return out\r\n}\r\n\r\nfunction projectVertex(v, model, view, projection, resolution) {\r\n  var p = xformMatrix(projection,\r\n            xformMatrix(view,\r\n              xformMatrix(model, [v[0], v[1], v[2], 1])))\r\n  for(var i=0; i<3; ++i) {\r\n    p[i] /= p[3]\r\n  }\r\n  return [ 0.5 * resolution[0] * (1.0+p[0]), 0.5 * resolution[1] * (1.0-p[1]) ]\r\n}\r\n\r\nfunction barycentricCoord(simplex, point) {\r\n  if(simplex.length === 2) {\r\n    var d0 = 0.0\r\n    var d1 = 0.0\r\n    for(var i=0; i<2; ++i) {\r\n      d0 += Math.pow(point[i] - simplex[0][i], 2)\r\n      d1 += Math.pow(point[i] - simplex[1][i], 2)\r\n    }\r\n    d0 = Math.sqrt(d0)\r\n    d1 = Math.sqrt(d1)\r\n    if(d0+d1 < 1e-6) {\r\n      return [1,0]\r\n    }\r\n    return [d1/(d0+d1),d0/(d1+d0)]\r\n  } else if(simplex.length === 3) {\r\n    var closestPoint = [0,0]\r\n    closestPointToTriangle(simplex[0], simplex[1], simplex[2], point, closestPoint)\r\n    return barycentric(simplex, closestPoint)\r\n  }\r\n  return []\r\n}\r\n\r\nfunction interpolate(simplex, weights) {\r\n  var result = [0,0,0]\r\n  for(var i=0; i<simplex.length; ++i) {\r\n    var p = simplex[i]\r\n    var w = weights[i]\r\n    for(var j=0; j<3; ++j) {\r\n      result[j] += w * p[j]\r\n    }\r\n  }\r\n  return result\r\n}\r\n\r\nfunction closestPointToPickLocation(simplex, pixelCoord, model, view, projection, resolution) {\r\n  if(simplex.length === 1) {\r\n    return [0, simplex[0].slice()]\r\n  }\r\n  var simplex2D = new Array(simplex.length)\r\n  for(var i=0; i<simplex.length; ++i) {\r\n    simplex2D[i] = projectVertex(simplex[i], model, view, projection, resolution);\r\n  }\r\n\r\n  var closestIndex = 0\r\n  var closestDist  = Infinity\r\n  for(var i=0; i<simplex2D.length; ++i) {\r\n    var d2 = 0.0\r\n    for(var j=0; j<2; ++j) {\r\n      d2 += Math.pow(simplex2D[i][j] - pixelCoord[j], 2)\r\n    }\r\n    if(d2 < closestDist) {\r\n      closestDist  = d2\r\n      closestIndex = i\r\n    }\r\n  }\r\n\r\n  var weights = barycentricCoord(simplex2D, pixelCoord)\r\n  var s = 0.0\r\n  for(var i=0; i<3; ++i) {\r\n    if(weights[i] < -0.001 ||\r\n       weights[i] > 1.0001) {\r\n      return null\r\n    }\r\n    s += weights[i]\r\n  }\r\n  if(Math.abs(s - 1.0) > 0.001) {\r\n    return null\r\n  }\r\n  return [closestIndex, interpolate(simplex, weights), weights]\r\n}\n},{\"barycentric\":61,\"polytope-closest-point/lib/closest_point_2d.js\":464}],233:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar DEFAULT_VERTEX_NORMALS_EPSILON = 1e-6; // may be too large if triangles are very small\r\nvar DEFAULT_FACE_NORMALS_EPSILON = 1e-6;\r\n\r\nvar createShader  = _dereq_('gl-shader')\r\nvar createBuffer  = _dereq_('gl-buffer')\r\nvar createVAO     = _dereq_('gl-vao')\r\nvar createTexture = _dereq_('gl-texture2d')\r\nvar normals       = _dereq_('normals')\r\nvar multiply      = _dereq_('gl-mat4/multiply')\r\nvar invert        = _dereq_('gl-mat4/invert')\r\nvar ndarray       = _dereq_('ndarray')\r\nvar colormap      = _dereq_('colormap')\r\nvar getContour    = _dereq_('simplicial-complex-contour')\r\nvar pool          = _dereq_('typedarray-pool')\r\nvar shaders       = _dereq_('./shaders')\r\nvar closestPoint  = _dereq_('./closest-point')\r\n\r\nvar meshShader    = shaders.meshShader\r\nvar pickShader    = shaders.pickShader\r\n\r\nvar identityMatrix = [\r\n  1,0,0,0,\r\n  0,1,0,0,\r\n  0,0,1,0,\r\n  0,0,0,1]\r\n\r\nfunction SimplicialMesh(gl\r\n  , texture\r\n  , triShader\r\n  , lineShader\r\n  , pointShader\r\n  , pickShader\r\n  , pointPickShader\r\n  , contourShader\r\n  , trianglePositions\r\n  , triangleVectors\r\n  , triangleIds\r\n  , triangleColors\r\n  , triangleUVs\r\n  , triangleNormals\r\n  , triangleVAO\r\n  , edgePositions\r\n  , edgeIds\r\n  , edgeColors\r\n  , edgeUVs\r\n  , edgeVAO\r\n  , pointPositions\r\n  , pointIds\r\n  , pointColors\r\n  , pointUVs\r\n  , pointSizes\r\n  , pointVAO\r\n  , contourPositions\r\n  , contourVAO) {\r\n\r\n  this.gl                = gl\r\n  this.cells             = []\r\n  this.positions         = []\r\n  this.intensity         = []\r\n  this.texture           = texture\r\n  this.dirty             = true\r\n\r\n  this.triShader         = triShader\r\n  this.lineShader        = lineShader\r\n  this.pointShader       = pointShader\r\n  this.pickShader        = pickShader\r\n  this.pointPickShader   = pointPickShader\r\n  this.contourShader     = contourShader\r\n\r\n  this.trianglePositions = trianglePositions\r\n  this.triangleVectors   = triangleVectors\r\n  this.triangleColors    = triangleColors\r\n  this.triangleNormals   = triangleNormals\r\n  this.triangleUVs       = triangleUVs\r\n  this.triangleIds       = triangleIds\r\n  this.triangleVAO       = triangleVAO\r\n  this.triangleCount     = 0\r\n\r\n  this.lineWidth         = 1\r\n  this.edgePositions     = edgePositions\r\n  this.edgeColors        = edgeColors\r\n  this.edgeUVs           = edgeUVs\r\n  this.edgeIds           = edgeIds\r\n  this.edgeVAO           = edgeVAO\r\n  this.edgeCount         = 0\r\n\r\n  this.pointPositions    = pointPositions\r\n  this.pointColors       = pointColors\r\n  this.pointUVs          = pointUVs\r\n  this.pointSizes        = pointSizes\r\n  this.pointIds          = pointIds\r\n  this.pointVAO          = pointVAO\r\n  this.pointCount        = 0\r\n\r\n  this.contourLineWidth  = 1\r\n  this.contourPositions  = contourPositions\r\n  this.contourVAO        = contourVAO\r\n  this.contourCount      = 0\r\n  this.contourColor      = [0,0,0]\r\n  this.contourEnable     = true\r\n\r\n  this.pickId            = 1\r\n  this.bounds            = [\r\n    [ Infinity, Infinity, Infinity],\r\n    [-Infinity,-Infinity,-Infinity] ]\r\n  this.clipBounds        = [\r\n    [-Infinity,-Infinity,-Infinity],\r\n    [ Infinity, Infinity, Infinity] ]\r\n\r\n  this.lightPosition = [1e5, 1e5, 0]\r\n  this.ambientLight  = 0.8\r\n  this.diffuseLight  = 0.8\r\n  this.specularLight = 2.0\r\n  this.roughness     = 0.5\r\n  this.fresnel       = 1.5\r\n\r\n  this.opacity       = 1.0\r\n\r\n  this.coneScale     = 2.0\r\n  this.vectorScale   = 1.0\r\n  this.coneOffset    = 1.0 / 4.0;\r\n\r\n  this._model       = identityMatrix\r\n  this._view        = identityMatrix\r\n  this._projection  = identityMatrix\r\n  this._resolution  = [1,1]\r\n}\r\n\r\nvar proto = SimplicialMesh.prototype\r\n\r\nproto.isOpaque = function() {\r\n  return this.opacity >= 1\r\n}\r\n\r\nproto.isTransparent = function() {\r\n  return this.opacity < 1\r\n}\r\n\r\nproto.pickSlots = 1\r\n\r\nproto.setPickBase = function(id) {\r\n  this.pickId = id\r\n}\r\n\r\nfunction genColormap(param) {\r\n  var colors = colormap({\r\n      colormap: param\r\n    , nshades:  256\r\n    , format:  'rgba'\r\n  })\r\n\r\n  var result = new Uint8Array(256*4)\r\n  for(var i=0; i<256; ++i) {\r\n    var c = colors[i]\r\n    for(var j=0; j<3; ++j) {\r\n      result[4*i+j] = c[j]\r\n    }\r\n    result[4*i+3] = c[3]*255\r\n  }\r\n\r\n  return ndarray(result, [256,256,4], [4,0,1])\r\n}\r\n\r\nfunction unpackIntensity(cells, numVerts, cellIntensity) {\r\n  var result = new Array(numVerts)\r\n  for(var i=0; i<numVerts; ++i) {\r\n    result[i] = 0\r\n  }\r\n  var numCells = cells.length\r\n  for(var i=0; i<numCells; ++i) {\r\n    var c = cells[i]\r\n    for(var j=0; j<c.length; ++j) {\r\n      result[c[j]] = cellIntensity[i]\r\n    }\r\n  }\r\n  return result\r\n}\r\n\r\nfunction takeZComponent(array) {\r\n  var n = array.length\r\n  var result = new Array(n)\r\n  for(var i=0; i<n; ++i) {\r\n    result[i] = array[i][2]\r\n  }\r\n  return result\r\n}\r\n\r\nproto.highlight = function(selection) {\r\n  if(!selection || !this.contourEnable) {\r\n    this.contourCount = 0\r\n    return\r\n  }\r\n  var level = getContour(this.cells, this.intensity, selection.intensity)\r\n  var cells         = level.cells\r\n  var vertexIds     = level.vertexIds\r\n  var vertexWeights = level.vertexWeights\r\n  var numCells = cells.length\r\n  var result = pool.mallocFloat32(2 * 3 * numCells)\r\n  var ptr = 0\r\n  for(var i=0; i<numCells; ++i) {\r\n    var c = cells[i]\r\n    for(var j=0; j<2; ++j) {\r\n      var v = c[0]\r\n      if(c.length === 2) {\r\n        v = c[j]\r\n      }\r\n      var a = vertexIds[v][0]\r\n      var b = vertexIds[v][1]\r\n      var w = vertexWeights[v]\r\n      var wi = 1.0 - w\r\n      var pa = this.positions[a]\r\n      var pb = this.positions[b]\r\n      for(var k=0; k<3; ++k) {\r\n        result[ptr++] = w * pa[k] + wi * pb[k]\r\n      }\r\n    }\r\n  }\r\n  this.contourCount = (ptr / 3)|0\r\n  this.contourPositions.update(result.subarray(0, ptr))\r\n  pool.free(result)\r\n}\r\n\r\nproto.update = function(params) {\r\n  params = params || {}\r\n  var gl = this.gl\r\n\r\n  this.dirty = true\r\n\r\n  if('contourEnable' in params) {\r\n    this.contourEnable = params.contourEnable\r\n  }\r\n  if('contourColor' in params) {\r\n    this.contourColor = params.contourColor\r\n  }\r\n  if('lineWidth' in params) {\r\n    this.lineWidth = params.lineWidth\r\n  }\r\n  if('lightPosition' in params) {\r\n    this.lightPosition = params.lightPosition\r\n  }\r\n  if('opacity' in params) {\r\n    this.opacity = params.opacity\r\n  }\r\n  if('ambient' in params) {\r\n    this.ambientLight  = params.ambient\r\n  }\r\n  if('diffuse' in params) {\r\n    this.diffuseLight = params.diffuse\r\n  }\r\n  if('specular' in params) {\r\n    this.specularLight = params.specular\r\n  }\r\n  if('roughness' in params) {\r\n    this.roughness = params.roughness\r\n  }\r\n  if('fresnel' in params) {\r\n    this.fresnel = params.fresnel\r\n  }\r\n\r\n  if (params.vectorScale !== undefined) {\r\n    this.vectorScale = params.vectorScale;\r\n  }\r\n  if (params.coneScale !== undefined) {\r\n    this.coneScale = params.coneScale;\r\n  }\r\n  if (params.coneOffset !== undefined) {\r\n    this.coneOffset = params.coneOffset;\r\n  }\r\n\r\n  if(params.texture) {\r\n    this.texture.dispose()\r\n    this.texture = createTexture(gl, params.texture)\r\n  } else if (params.colormap) {\r\n    this.texture.shape = [256,256]\r\n    this.texture.minFilter = gl.LINEAR_MIPMAP_LINEAR\r\n    this.texture.magFilter = gl.LINEAR\r\n    this.texture.setPixels(genColormap(params.colormap))\r\n    this.texture.generateMipmap()\r\n  }\r\n\r\n  var cells = params.cells\r\n  var positions = params.positions\r\n  var vectors = params.vectors\r\n\r\n  if(!positions || !cells || !vectors) {\r\n    return\r\n  }\r\n\r\n  var tPos = []\r\n  var tVec = []\r\n  var tCol = []\r\n  var tNor = []\r\n  var tUVs = []\r\n  var tIds = []\r\n\r\n  var ePos = []\r\n  var eCol = []\r\n  var eUVs = []\r\n  var eIds = []\r\n\r\n  var pPos = []\r\n  var pCol = []\r\n  var pUVs = []\r\n  var pSiz = []\r\n  var pIds = []\r\n\r\n  //Save geometry data for picking calculations\r\n  this.cells     = cells\r\n  this.positions = positions\r\n\r\n  //Compute normals\r\n  var vertexNormals = params.vertexNormals\r\n  var cellNormals   = params.cellNormals\r\n  var vertexNormalsEpsilon = params.vertexNormalsEpsilon === void(0) ? DEFAULT_VERTEX_NORMALS_EPSILON : params.vertexNormalsEpsilon\r\n  var faceNormalsEpsilon = params.faceNormalsEpsilon === void(0) ? DEFAULT_FACE_NORMALS_EPSILON : params.faceNormalsEpsilon\r\n  if(params.useFacetNormals && !cellNormals) {\r\n    cellNormals = normals.faceNormals(cells, positions, faceNormalsEpsilon)\r\n  }\r\n  if(!cellNormals && !vertexNormals) {\r\n    vertexNormals = normals.vertexNormals(cells, positions, vertexNormalsEpsilon)\r\n  }\r\n\r\n  //Compute colors\r\n  var vertexColors    = params.vertexColors\r\n  var cellColors      = params.cellColors\r\n  var meshColor       = params.meshColor || [1,1,1,1]\r\n\r\n  //UVs\r\n  var vertexUVs       = params.vertexUVs\r\n  var vertexIntensity = params.vertexIntensity\r\n  var cellUVs         = params.cellUVs\r\n  var cellIntensity   = params.cellIntensity\r\n\r\n  var intensityLo     = Infinity\r\n  var intensityHi     = -Infinity\r\n  if(!vertexUVs && !cellUVs) {\r\n    if(vertexIntensity) {\r\n      if(params.vertexIntensityBounds) {\r\n        intensityLo = +params.vertexIntensityBounds[0]\r\n        intensityHi = +params.vertexIntensityBounds[1]\r\n      } else {\r\n        for(var i=0; i<vertexIntensity.length; ++i) {\r\n          var f = vertexIntensity[i]\r\n          intensityLo = Math.min(intensityLo, f)\r\n          intensityHi = Math.max(intensityHi, f)\r\n        }\r\n      }\r\n    } else if(cellIntensity) {\r\n      for(var i=0; i<cellIntensity.length; ++i) {\r\n        var f = cellIntensity[i]\r\n        intensityLo = Math.min(intensityLo, f)\r\n        intensityHi = Math.max(intensityHi, f)\r\n      }\r\n    } else {\r\n      for(var i=0; i<positions.length; ++i) {\r\n        var f = positions[i][2]\r\n        intensityLo = Math.min(intensityLo, f)\r\n        intensityHi = Math.max(intensityHi, f)\r\n      }\r\n    }\r\n  }\r\n\r\n  if(vertexIntensity) {\r\n    this.intensity = vertexIntensity\r\n  } else if(cellIntensity) {\r\n    this.intensity = unpackIntensity(cells, positions.length, cellIntensity)\r\n  } else {\r\n    this.intensity = takeZComponent(positions)\r\n  }\r\n\r\n  //Point size\r\n  var pointSizes      = params.pointSizes\r\n  var meshPointSize   = params.pointSize || 1.0\r\n\r\n  //Update bounds\r\n  this.bounds       = [[Infinity,Infinity,Infinity], [-Infinity,-Infinity,-Infinity]]\r\n  for(var i=0; i<positions.length; ++i) {\r\n    var p = positions[i]\r\n    for(var j=0; j<3; ++j) {\r\n      if(isNaN(p[j]) || !isFinite(p[j])) {\r\n        continue\r\n      }\r\n      this.bounds[0][j] = Math.min(this.bounds[0][j], p[j])\r\n      this.bounds[1][j] = Math.max(this.bounds[1][j], p[j])\r\n    }\r\n  }\r\n\r\n  //Pack cells into buffers\r\n  var triangleCount = 0\r\n  var edgeCount = 0\r\n  var pointCount = 0\r\n\r\nfill_loop:\r\n  for(var i=0; i<cells.length; ++i) {\r\n    var cell = cells[i]\r\n    switch(cell.length) {\r\n      case 1:\r\n\r\n        var v = cell[0]\r\n        var p = positions[v]\r\n\r\n        //Check NaNs\r\n        for(var j=0; j<3; ++j) {\r\n          if(isNaN(p[j]) || !isFinite(p[j])) {\r\n            continue fill_loop\r\n          }\r\n        }\r\n\r\n        pPos.push(p[0], p[1], p[2], p[3])\r\n\r\n        var c\r\n        if(vertexColors) {\r\n          c = vertexColors[v]\r\n        } else if(cellColors) {\r\n          c = cellColors[i]\r\n        } else {\r\n          c = meshColor\r\n        }\r\n        if(c.length === 3) {\r\n          pCol.push(c[0], c[1], c[2], 1)\r\n        } else {\r\n          pCol.push(c[0], c[1], c[2], c[3])\r\n        }\r\n\r\n        var uv\r\n        if(vertexUVs) {\r\n          uv = vertexUVs[v]\r\n        } else if(vertexIntensity) {\r\n          uv = [\r\n            (vertexIntensity[v] - intensityLo) /\r\n            (intensityHi - intensityLo), 0]\r\n        } else if(cellUVs) {\r\n          uv = cellUVs[i]\r\n        } else if(cellIntensity) {\r\n          uv = [\r\n            (cellIntensity[i] - intensityLo) /\r\n            (intensityHi - intensityLo), 0]\r\n        } else {\r\n          uv = [\r\n            (p[2] - intensityLo) /\r\n            (intensityHi - intensityLo), 0]\r\n        }\r\n        pUVs.push(uv[0], uv[1])\r\n\r\n        if(pointSizes) {\r\n          pSiz.push(pointSizes[v])\r\n        } else {\r\n          pSiz.push(meshPointSize)\r\n        }\r\n\r\n        pIds.push(i)\r\n\r\n        pointCount += 1\r\n      break\r\n\r\n      case 2:\r\n\r\n        //Check NaNs\r\n        for(var j=0; j<2; ++j) {\r\n          var v = cell[j]\r\n          var p = positions[v]\r\n          for(var k=0; k<3; ++k) {\r\n            if(isNaN(p[k]) || !isFinite(p[k])) {\r\n              continue fill_loop\r\n            }\r\n          }\r\n        }\r\n\r\n        for(var j=0; j<2; ++j) {\r\n          var v = cell[j]\r\n          var p = positions[v]\r\n\r\n          ePos.push(p[0], p[1], p[2])\r\n\r\n          var c\r\n          if(vertexColors) {\r\n            c = vertexColors[v]\r\n          } else if(cellColors) {\r\n            c = cellColors[i]\r\n          } else {\r\n            c = meshColor\r\n          }\r\n          if(c.length === 3) {\r\n            eCol.push(c[0], c[1], c[2], 1)\r\n          } else {\r\n            eCol.push(c[0], c[1], c[2], c[3])\r\n          }\r\n\r\n          var uv\r\n          if(vertexUVs) {\r\n            uv = vertexUVs[v]\r\n          } else if(vertexIntensity) {\r\n            uv = [\r\n              (vertexIntensity[v] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else if(cellUVs) {\r\n            uv = cellUVs[i]\r\n          } else if(cellIntensity) {\r\n            uv = [\r\n              (cellIntensity[i] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else {\r\n            uv = [\r\n              (p[2] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          }\r\n          eUVs.push(uv[0], uv[1])\r\n\r\n          eIds.push(i)\r\n        }\r\n        edgeCount += 1\r\n      break\r\n\r\n      case 3:\r\n        //Check NaNs\r\n        for(var j=0; j<3; ++j) {\r\n          var v = cell[j]\r\n          var p = positions[v]\r\n          for(var k=0; k<3; ++k) {\r\n            if(isNaN(p[k]) || !isFinite(p[k])) {\r\n              continue fill_loop\r\n            }\r\n          }\r\n        }\r\n\r\n        for(var j=0; j<3; ++j) {\r\n          var v = cell[j]\r\n\r\n          var p = positions[v]\r\n          tPos.push(p[0], p[1], p[2], p[3])\r\n\r\n          var w = vectors[v]\r\n          tVec.push(w[0], w[1], w[2]);\r\n\r\n          var c\r\n          if(vertexColors) {\r\n            c = vertexColors[v]\r\n          } else if(cellColors) {\r\n            c = cellColors[i]\r\n          } else {\r\n            c = meshColor\r\n          }\r\n          if(c.length === 3) {\r\n            tCol.push(c[0], c[1], c[2], 1)\r\n          } else {\r\n            tCol.push(c[0], c[1], c[2], c[3])\r\n          }\r\n\r\n          var uv\r\n          if(vertexUVs) {\r\n            uv = vertexUVs[v]\r\n          } else if(vertexIntensity) {\r\n            uv = [\r\n              (vertexIntensity[v] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else if(cellUVs) {\r\n            uv = cellUVs[i]\r\n          } else if(cellIntensity) {\r\n            uv = [\r\n              (cellIntensity[i] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else {\r\n            uv = [\r\n              (p[2] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          }\r\n          tUVs.push(uv[0], uv[1])\r\n\r\n          var q\r\n          if(vertexNormals) {\r\n            q = vertexNormals[v]\r\n          } else {\r\n            q = cellNormals[i]\r\n          }\r\n          tNor.push(q[0], q[1], q[2])\r\n\r\n          tIds.push(i)\r\n        }\r\n        triangleCount += 1\r\n      break\r\n\r\n      default:\r\n      break\r\n    }\r\n  }\r\n\r\n  this.pointCount     = pointCount\r\n  this.edgeCount      = edgeCount\r\n  this.triangleCount  = triangleCount\r\n\r\n  this.pointPositions.update(pPos)\r\n  this.pointColors.update(pCol)\r\n  this.pointUVs.update(pUVs)\r\n  this.pointSizes.update(pSiz)\r\n  this.pointIds.update(new Uint32Array(pIds))\r\n\r\n  this.edgePositions.update(ePos)\r\n  this.edgeColors.update(eCol)\r\n  this.edgeUVs.update(eUVs)\r\n  this.edgeIds.update(new Uint32Array(eIds))\r\n\r\n  this.trianglePositions.update(tPos)\r\n  this.triangleVectors.update(tVec)\r\n  this.triangleColors.update(tCol)\r\n  this.triangleUVs.update(tUVs)\r\n  this.triangleNormals.update(tNor)\r\n  this.triangleIds.update(new Uint32Array(tIds))\r\n}\r\n\r\nproto.drawTransparent = proto.draw = function(params) {\r\n  params = params || {}\r\n  var gl          = this.gl\r\n  var model       = params.model      || identityMatrix\r\n  var view        = params.view       || identityMatrix\r\n  var projection  = params.projection || identityMatrix\r\n\r\n  var clipBounds = [[-1e6,-1e6,-1e6],[1e6,1e6,1e6]]\r\n  for(var i=0; i<3; ++i) {\r\n    clipBounds[0][i] = Math.max(clipBounds[0][i], this.clipBounds[0][i])\r\n    clipBounds[1][i] = Math.min(clipBounds[1][i], this.clipBounds[1][i])\r\n  }\r\n\r\n  var uniforms = {\r\n    model:      model,\r\n    view:       view,\r\n    projection: projection,\r\n\r\n    clipBounds: clipBounds,\r\n\r\n    kambient:   this.ambientLight,\r\n    kdiffuse:   this.diffuseLight,\r\n    kspecular:  this.specularLight,\r\n    roughness:  this.roughness,\r\n    fresnel:    this.fresnel,\r\n\r\n    eyePosition:   [0,0,0],\r\n    lightPosition: [0,0,0],\r\n\r\n    opacity:  this.opacity,\r\n\r\n    vectorScale: this.vectorScale,\r\n    coneScale: this.coneScale,\r\n    coneOffset: this.coneOffset,\r\n\r\n    contourColor: this.contourColor,\r\n\r\n    texture:    0\r\n  }\r\n\r\n  this.texture.bind(0)\r\n\r\n  var invCameraMatrix = new Array(16)\r\n  multiply(invCameraMatrix, uniforms.view, uniforms.model)\r\n  multiply(invCameraMatrix, uniforms.projection, invCameraMatrix)\r\n  invert(invCameraMatrix, invCameraMatrix)\r\n\r\n  for(var i=0; i<3; ++i) {\r\n    uniforms.eyePosition[i] = invCameraMatrix[12+i] / invCameraMatrix[15]\r\n  }\r\n\r\n  var w = invCameraMatrix[15]\r\n  for(var i=0; i<3; ++i) {\r\n    w += this.lightPosition[i] * invCameraMatrix[4*i+3]\r\n  }\r\n  for(var i=0; i<3; ++i) {\r\n    var s = invCameraMatrix[12+i]\r\n    for(var j=0; j<3; ++j) {\r\n      s += invCameraMatrix[4*j+i] * this.lightPosition[j]\r\n    }\r\n    uniforms.lightPosition[i] = s / w\r\n  }\r\n\r\n  if(this.triangleCount > 0) {\r\n    var shader = this.triShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.triangleVAO.bind()\r\n    gl.drawArrays(gl.TRIANGLES, 0, this.triangleCount*3)\r\n    this.triangleVAO.unbind()\r\n  }\r\n\r\n  if(this.edgeCount > 0 && this.lineWidth > 0) {\r\n    var shader = this.lineShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.edgeVAO.bind()\r\n    gl.lineWidth(this.lineWidth)\r\n    gl.drawArrays(gl.LINES, 0, this.edgeCount*2)\r\n    this.edgeVAO.unbind()\r\n  }\r\n\r\n  if(this.pointCount > 0) {\r\n    var shader = this.pointShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.pointVAO.bind()\r\n    gl.drawArrays(gl.POINTS, 0, this.pointCount)\r\n    this.pointVAO.unbind()\r\n  }\r\n\r\n  if(this.contourEnable && this.contourCount > 0 && this.contourLineWidth > 0) {\r\n    var shader = this.contourShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.contourVAO.bind()\r\n    gl.drawArrays(gl.LINES, 0, this.contourCount)\r\n    this.contourVAO.unbind()\r\n  }\r\n}\r\n\r\nproto.drawPick = function(params) {\r\n  params = params || {}\r\n\r\n  var gl         = this.gl\r\n\r\n  var model      = params.model      || identityMatrix\r\n  var view       = params.view       || identityMatrix\r\n  var projection = params.projection || identityMatrix\r\n\r\n  var clipBounds = [[-1e6,-1e6,-1e6],[1e6,1e6,1e6]]\r\n  for(var i=0; i<3; ++i) {\r\n    clipBounds[0][i] = Math.max(clipBounds[0][i], this.clipBounds[0][i])\r\n    clipBounds[1][i] = Math.min(clipBounds[1][i], this.clipBounds[1][i])\r\n  }\r\n\r\n  //Save camera parameters\r\n  this._model      = [].slice.call(model)\r\n  this._view       = [].slice.call(view)\r\n  this._projection = [].slice.call(projection)\r\n  this._resolution = [gl.drawingBufferWidth, gl.drawingBufferHeight]\r\n\r\n  var uniforms = {\r\n    model:      model,\r\n    view:       view,\r\n    projection: projection,\r\n    clipBounds: clipBounds,\r\n\r\n    vectorScale: this.vectorScale,\r\n    coneScale: this.coneScale,\r\n    coneOffset: this.coneOffset,\r\n\r\n    pickId:     this.pickId / 255.0,\r\n  }\r\n\r\n  var shader = this.pickShader\r\n  shader.bind()\r\n  shader.uniforms = uniforms\r\n\r\n  if(this.triangleCount > 0) {\r\n    this.triangleVAO.bind()\r\n    gl.drawArrays(gl.TRIANGLES, 0, this.triangleCount*3)\r\n    this.triangleVAO.unbind()\r\n  }\r\n\r\n  if(this.edgeCount > 0) {\r\n    this.edgeVAO.bind()\r\n    gl.lineWidth(this.lineWidth)\r\n    gl.drawArrays(gl.LINES, 0, this.edgeCount*2)\r\n    this.edgeVAO.unbind()\r\n  }\r\n\r\n  if(this.pointCount > 0) {\r\n    var shader = this.pointPickShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.pointVAO.bind()\r\n    gl.drawArrays(gl.POINTS, 0, this.pointCount)\r\n    this.pointVAO.unbind()\r\n  }\r\n}\r\n\r\n\r\nproto.pick = function(pickData) {\r\n  if(!pickData) {\r\n    return null\r\n  }\r\n  if(pickData.id !== this.pickId) {\r\n    return null\r\n  }\r\n\r\n  var cellId    = pickData.value[0] + 256*pickData.value[1] + 65536*pickData.value[2]\r\n  var cell      = this.cells[cellId]\r\n  var pos =     this.positions[cell[1]].slice(0, 3)\r\n\r\n  return {\r\n    // corresponding to input indices\r\n    index: Math.floor(cell[1] / 48),\r\n    position: pos,\r\n    dataCoordinate: pos\r\n  }\r\n}\r\n\r\n\r\nproto.dispose = function() {\r\n  this.texture.dispose()\r\n\r\n  this.triShader.dispose()\r\n  // this.lineShader.dispose()\r\n  // this.pointShader.dispose()\r\n  this.pickShader.dispose()\r\n  // this.pointPickShader.dispose()\r\n\r\n  this.triangleVAO.dispose()\r\n  this.trianglePositions.dispose()\r\n  this.triangleVectors.dispose()\r\n  this.triangleColors.dispose()\r\n  this.triangleUVs.dispose()\r\n  this.triangleNormals.dispose()\r\n  this.triangleIds.dispose()\r\n\r\n  this.edgeVAO.dispose()\r\n  this.edgePositions.dispose()\r\n  this.edgeColors.dispose()\r\n  this.edgeUVs.dispose()\r\n  this.edgeIds.dispose()\r\n\r\n  this.pointVAO.dispose()\r\n  this.pointPositions.dispose()\r\n  this.pointColors.dispose()\r\n  this.pointUVs.dispose()\r\n  this.pointSizes.dispose()\r\n  this.pointIds.dispose()\r\n\r\n  this.contourVAO.dispose()\r\n  this.contourPositions.dispose()\r\n  // this.contourShader.dispose()\r\n}\r\n\r\nfunction createMeshShader(gl) {\r\n  // need to pass meshShader attributes manually,\r\n  // to make this work on etpinard's Ubuntu Thinkpad\r\n  var shader = createShader(gl, meshShader.vertex, meshShader.fragment, null, meshShader.attributes)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.color.location    = 2\r\n  shader.attributes.uv.location       = 3\r\n  shader.attributes.vector.location   = 5\r\n  return shader\r\n}\r\n\r\nfunction createWireShader(gl) {\r\n  var shader = createShader(gl, wireShader.vertex, wireShader.fragment)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.color.location    = 2\r\n  shader.attributes.uv.location       = 3\r\n  return shader\r\n}\r\n\r\nfunction createPointShader(gl) {\r\n  var shader = createShader(gl, pointShader.vertex, pointShader.fragment)\r\n  shader.attributes.position.location  = 0\r\n  shader.attributes.color.location     = 2\r\n  shader.attributes.uv.location        = 3\r\n  shader.attributes.pointSize.location = 4\r\n  return shader\r\n}\r\n\r\nfunction createPickShader(gl) {\r\n  var shader = createShader(gl, pickShader.vertex, pickShader.fragment, null, pickShader.attributes)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.id.location       = 1\r\n  shader.attributes.vector.location   = 5\r\n  return shader\r\n}\r\n\r\nfunction createPointPickShader(gl) {\r\n  var shader = createShader(gl, pointPickShader.vertex, pointPickShader.fragment)\r\n  shader.attributes.position.location  = 0\r\n  shader.attributes.id.location        = 1\r\n  shader.attributes.pointSize.location = 4\r\n  return shader\r\n}\r\n\r\nfunction createContourShader(gl) {\r\n  var shader = createShader(gl, contourShader.vertex, contourShader.fragment)\r\n  shader.attributes.position.location = 0\r\n  return shader\r\n}\r\n\r\nfunction createSimplicialMesh(gl, params) {\r\n  if (arguments.length === 1) {\r\n    params = gl;\r\n    gl = params.gl;\r\n  }\r\n\r\n  var triShader       = params.triShader || createMeshShader(gl)\r\n  var lineShader      = null; //createWireShader(gl)\r\n  var pointShader     = null; //createPointShader(gl)\r\n  var pickShader      = createPickShader(gl)\r\n  var pointPickShader = null; //createPointPickShader(gl)\r\n  var contourShader   = null; //createContourShader(gl)\r\n\r\n  var meshTexture       = createTexture(gl,\r\n    ndarray(new Uint8Array([255,255,255,255]), [1,1,4]))\r\n  meshTexture.generateMipmap()\r\n  meshTexture.minFilter = gl.LINEAR_MIPMAP_LINEAR\r\n  meshTexture.magFilter = gl.LINEAR\r\n\r\n  var trianglePositions = createBuffer(gl)\r\n  var triangleVectors   = createBuffer(gl)\r\n  var triangleColors    = createBuffer(gl)\r\n  var triangleUVs       = createBuffer(gl)\r\n  var triangleNormals   = createBuffer(gl)\r\n  var triangleIds       = createBuffer(gl)\r\n  var triangleVAO       = createVAO(gl, [\r\n    { buffer: trianglePositions,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: triangleIds,\r\n      type: gl.UNSIGNED_BYTE,\r\n      size: 4,\r\n      normalized: true\r\n    },\r\n    { buffer: triangleColors,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: triangleUVs,\r\n      type: gl.FLOAT,\r\n      size: 2\r\n    },\r\n    { buffer: triangleNormals,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    },\r\n    { buffer: triangleVectors,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    }\r\n  ])\r\n\r\n  var edgePositions = createBuffer(gl)\r\n  var edgeColors    = createBuffer(gl)\r\n  var edgeUVs       = createBuffer(gl)\r\n  var edgeIds       = createBuffer(gl)\r\n  var edgeVAO       = createVAO(gl, [\r\n    { buffer: edgePositions,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    },\r\n    { buffer: edgeIds,\r\n      type: gl.UNSIGNED_BYTE,\r\n      size: 4,\r\n      normalized: true\r\n    },\r\n    { buffer: edgeColors,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: edgeUVs,\r\n      type: gl.FLOAT,\r\n      size: 2\r\n    }\r\n  ])\r\n\r\n  var pointPositions  = createBuffer(gl)\r\n  var pointColors     = createBuffer(gl)\r\n  var pointUVs        = createBuffer(gl)\r\n  var pointSizes      = createBuffer(gl)\r\n  var pointIds        = createBuffer(gl)\r\n  var pointVAO        = createVAO(gl, [\r\n    { buffer: pointPositions,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    },\r\n    { buffer: pointIds,\r\n      type: gl.UNSIGNED_BYTE,\r\n      size: 4,\r\n      normalized: true\r\n    },\r\n    { buffer: pointColors,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: pointUVs,\r\n      type: gl.FLOAT,\r\n      size: 2\r\n    },\r\n    { buffer: pointSizes,\r\n      type: gl.FLOAT,\r\n      size: 1\r\n    }\r\n  ])\r\n\r\n  var contourPositions = createBuffer(gl)\r\n  var contourVAO       = createVAO(gl, [\r\n    { buffer: contourPositions,\r\n      type:   gl.FLOAT,\r\n      size:   3\r\n    }])\r\n\r\n  var mesh = new SimplicialMesh(gl\r\n    , meshTexture\r\n    , triShader\r\n    , lineShader\r\n    , pointShader\r\n    , pickShader\r\n    , pointPickShader\r\n    , contourShader\r\n    , trianglePositions\r\n    , triangleVectors\r\n    , triangleIds\r\n    , triangleColors\r\n    , triangleUVs\r\n    , triangleNormals\r\n    , triangleVAO\r\n    , edgePositions\r\n    , edgeIds\r\n    , edgeColors\r\n    , edgeUVs\r\n    , edgeVAO\r\n    , pointPositions\r\n    , pointIds\r\n    , pointColors\r\n    , pointUVs\r\n    , pointSizes\r\n    , pointVAO\r\n    , contourPositions\r\n    , contourVAO)\r\n\r\n  mesh.update(params)\r\n\r\n  return mesh\r\n}\r\n\r\nmodule.exports = createSimplicialMesh\r\n\n},{\"./closest-point\":232,\"./shaders\":234,\"colormap\":114,\"gl-buffer\":230,\"gl-mat4/invert\":254,\"gl-mat4/multiply\":256,\"gl-shader\":288,\"gl-texture2d\":305,\"gl-vao\":310,\"ndarray\":433,\"normals\":436,\"simplicial-complex-contour\":494,\"typedarray-pool\":522}],234:[function(_dereq_,module,exports){\nvar glslify       = _dereq_('glslify')\r\n\r\nvar triVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat inverse(float m) {\\n  return 1.0 / m;\\n}\\n\\nmat2 inverse(mat2 m) {\\n  return mat2(m[1][1],-m[0][1],\\n             -m[1][0], m[0][0]) / (m[0][0]*m[1][1] - m[0][1]*m[1][0]);\\n}\\n\\nmat3 inverse(mat3 m) {\\n  float a00 = m[0][0], a01 = m[0][1], a02 = m[0][2];\\n  float a10 = m[1][0], a11 = m[1][1], a12 = m[1][2];\\n  float a20 = m[2][0], a21 = m[2][1], a22 = m[2][2];\\n\\n  float b01 = a22 * a11 - a12 * a21;\\n  float b11 = -a22 * a10 + a12 * a20;\\n  float b21 = a21 * a10 - a11 * a20;\\n\\n  float det = a00 * b01 + a01 * b11 + a02 * b21;\\n\\n  return mat3(b01, (-a22 * a01 + a02 * a21), (a12 * a01 - a02 * a11),\\n              b11, (a22 * a00 - a02 * a20), (-a12 * a00 + a02 * a10),\\n              b21, (-a21 * a00 + a01 * a20), (a11 * a00 - a01 * a10)) / det;\\n}\\n\\nmat4 inverse(mat4 m) {\\n  float\\n      a00 = m[0][0], a01 = m[0][1], a02 = m[0][2], a03 = m[0][3],\\n      a10 = m[1][0], a11 = m[1][1], a12 = m[1][2], a13 = m[1][3],\\n      a20 = m[2][0], a21 = m[2][1], a22 = m[2][2], a23 = m[2][3],\\n      a30 = m[3][0], a31 = m[3][1], a32 = m[3][2], a33 = m[3][3],\\n\\n      b00 = a00 * a11 - a01 * a10,\\n      b01 = a00 * a12 - a02 * a10,\\n      b02 = a00 * a13 - a03 * a10,\\n      b03 = a01 * a12 - a02 * a11,\\n      b04 = a01 * a13 - a03 * a11,\\n      b05 = a02 * a13 - a03 * a12,\\n      b06 = a20 * a31 - a21 * a30,\\n      b07 = a20 * a32 - a22 * a30,\\n      b08 = a20 * a33 - a23 * a30,\\n      b09 = a21 * a32 - a22 * a31,\\n      b10 = a21 * a33 - a23 * a31,\\n      b11 = a22 * a33 - a23 * a32,\\n\\n      det = b00 * b11 - b01 * b10 + b02 * b09 + b03 * b08 - b04 * b07 + b05 * b06;\\n\\n  return mat4(\\n      a11 * b11 - a12 * b10 + a13 * b09,\\n      a02 * b10 - a01 * b11 - a03 * b09,\\n      a31 * b05 - a32 * b04 + a33 * b03,\\n      a22 * b04 - a21 * b05 - a23 * b03,\\n      a12 * b08 - a10 * b11 - a13 * b07,\\n      a00 * b11 - a02 * b08 + a03 * b07,\\n      a32 * b02 - a30 * b05 - a33 * b01,\\n      a20 * b05 - a22 * b02 + a23 * b01,\\n      a10 * b10 - a11 * b08 + a13 * b06,\\n      a01 * b08 - a00 * b10 - a03 * b06,\\n      a30 * b04 - a31 * b02 + a33 * b00,\\n      a21 * b02 - a20 * b04 - a23 * b00,\\n      a11 * b07 - a10 * b09 - a12 * b06,\\n      a00 * b09 - a01 * b07 + a02 * b06,\\n      a31 * b01 - a30 * b03 - a32 * b00,\\n      a20 * b03 - a21 * b01 + a22 * b00) / det;\\n}\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float index, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  index = mod(index, segmentCount * 6.0);\\n\\n  float segment = floor(index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex == 3.0) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  // angle = 2pi * ((segment + ((segmentIndex == 1.0 || segmentIndex == 5.0) ? 1.0 : 0.0)) / segmentCount)\\n  float nextAngle = float(segmentIndex == 1.0 || segmentIndex == 5.0);\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex <= 2.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\nuniform float vectorScale;\\nuniform float coneScale;\\n\\nuniform float coneOffset;\\n\\nuniform mat4 model\\n           , view\\n           , projection;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  normal = normalize(normal * inverse(mat3(model)));\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n  f_color          = color; //vec4(position.w, color.r, 0, 0);\\n  f_normal         = normal;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_eyeDirection   = eyePosition   - conePosition.xyz;\\n  f_lightDirection = lightPosition - conePosition.xyz;\\n  f_uv             = uv;\\n}\\n\"])\r\nvar triFragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(!gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = cookTorranceSpecular(L, V, N, roughness, fresnel);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor =  texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\"])\r\nvar pickVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float index, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  index = mod(index, segmentCount * 6.0);\\n\\n  float segment = floor(index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex == 3.0) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  // angle = 2pi * ((segment + ((segmentIndex == 1.0 || segmentIndex == 5.0) ? 1.0 : 0.0)) / segmentCount)\\n  float nextAngle = float(segmentIndex == 1.0 || segmentIndex == 5.0);\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex <= 2.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nuniform float vectorScale;\\nuniform float coneScale;\\nuniform float coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"])\r\nvar pickFragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"])\r\n\r\nexports.meshShader = {\r\n  vertex:   triVertSrc,\r\n  fragment: triFragSrc,\r\n  attributes: [\r\n    {name: 'position', type: 'vec4'},\r\n    {name: 'normal', type: 'vec3'},\r\n    {name: 'color', type: 'vec4'},\r\n    {name: 'uv', type: 'vec2'},\r\n    {name: 'vector', type: 'vec3'}\r\n  ]\r\n}\r\nexports.pickShader = {\r\n  vertex:   pickVertSrc,\r\n  fragment: pickFragSrc,\r\n  attributes: [\r\n    {name: 'position', type: 'vec4'},\r\n    {name: 'id', type: 'vec4'},\r\n    {name: 'vector', type: 'vec3'}\r\n  ]\r\n}\r\n\n},{\"glslify\":392}],235:[function(_dereq_,module,exports){\nmodule.exports = {\n  0: 'NONE',\n  1: 'ONE',\n  2: 'LINE_LOOP',\n  3: 'LINE_STRIP',\n  4: 'TRIANGLES',\n  5: 'TRIANGLE_STRIP',\n  6: 'TRIANGLE_FAN',\n  256: 'DEPTH_BUFFER_BIT',\n  512: 'NEVER',\n  513: 'LESS',\n  514: 'EQUAL',\n  515: 'LEQUAL',\n  516: 'GREATER',\n  517: 'NOTEQUAL',\n  518: 'GEQUAL',\n  519: 'ALWAYS',\n  768: 'SRC_COLOR',\n  769: 'ONE_MINUS_SRC_COLOR',\n  770: 'SRC_ALPHA',\n  771: 'ONE_MINUS_SRC_ALPHA',\n  772: 'DST_ALPHA',\n  773: 'ONE_MINUS_DST_ALPHA',\n  774: 'DST_COLOR',\n  775: 'ONE_MINUS_DST_COLOR',\n  776: 'SRC_ALPHA_SATURATE',\n  1024: 'STENCIL_BUFFER_BIT',\n  1028: 'FRONT',\n  1029: 'BACK',\n  1032: 'FRONT_AND_BACK',\n  1280: 'INVALID_ENUM',\n  1281: 'INVALID_VALUE',\n  1282: 'INVALID_OPERATION',\n  1285: 'OUT_OF_MEMORY',\n  1286: 'INVALID_FRAMEBUFFER_OPERATION',\n  2304: 'CW',\n  2305: 'CCW',\n  2849: 'LINE_WIDTH',\n  2884: 'CULL_FACE',\n  2885: 'CULL_FACE_MODE',\n  2886: 'FRONT_FACE',\n  2928: 'DEPTH_RANGE',\n  2929: 'DEPTH_TEST',\n  2930: 'DEPTH_WRITEMASK',\n  2931: 'DEPTH_CLEAR_VALUE',\n  2932: 'DEPTH_FUNC',\n  2960: 'STENCIL_TEST',\n  2961: 'STENCIL_CLEAR_VALUE',\n  2962: 'STENCIL_FUNC',\n  2963: 'STENCIL_VALUE_MASK',\n  2964: 'STENCIL_FAIL',\n  2965: 'STENCIL_PASS_DEPTH_FAIL',\n  2966: 'STENCIL_PASS_DEPTH_PASS',\n  2967: 'STENCIL_REF',\n  2968: 'STENCIL_WRITEMASK',\n  2978: 'VIEWPORT',\n  3024: 'DITHER',\n  3042: 'BLEND',\n  3088: 'SCISSOR_BOX',\n  3089: 'SCISSOR_TEST',\n  3106: 'COLOR_CLEAR_VALUE',\n  3107: 'COLOR_WRITEMASK',\n  3317: 'UNPACK_ALIGNMENT',\n  3333: 'PACK_ALIGNMENT',\n  3379: 'MAX_TEXTURE_SIZE',\n  3386: 'MAX_VIEWPORT_DIMS',\n  3408: 'SUBPIXEL_BITS',\n  3410: 'RED_BITS',\n  3411: 'GREEN_BITS',\n  3412: 'BLUE_BITS',\n  3413: 'ALPHA_BITS',\n  3414: 'DEPTH_BITS',\n  3415: 'STENCIL_BITS',\n  3553: 'TEXTURE_2D',\n  4352: 'DONT_CARE',\n  4353: 'FASTEST',\n  4354: 'NICEST',\n  5120: 'BYTE',\n  5121: 'UNSIGNED_BYTE',\n  5122: 'SHORT',\n  5123: 'UNSIGNED_SHORT',\n  5124: 'INT',\n  5125: 'UNSIGNED_INT',\n  5126: 'FLOAT',\n  5386: 'INVERT',\n  5890: 'TEXTURE',\n  6401: 'STENCIL_INDEX',\n  6402: 'DEPTH_COMPONENT',\n  6406: 'ALPHA',\n  6407: 'RGB',\n  6408: 'RGBA',\n  6409: 'LUMINANCE',\n  6410: 'LUMINANCE_ALPHA',\n  7680: 'KEEP',\n  7681: 'REPLACE',\n  7682: 'INCR',\n  7683: 'DECR',\n  7936: 'VENDOR',\n  7937: 'RENDERER',\n  7938: 'VERSION',\n  9728: 'NEAREST',\n  9729: 'LINEAR',\n  9984: 'NEAREST_MIPMAP_NEAREST',\n  9985: 'LINEAR_MIPMAP_NEAREST',\n  9986: 'NEAREST_MIPMAP_LINEAR',\n  9987: 'LINEAR_MIPMAP_LINEAR',\n  10240: 'TEXTURE_MAG_FILTER',\n  10241: 'TEXTURE_MIN_FILTER',\n  10242: 'TEXTURE_WRAP_S',\n  10243: 'TEXTURE_WRAP_T',\n  10497: 'REPEAT',\n  10752: 'POLYGON_OFFSET_UNITS',\n  16384: 'COLOR_BUFFER_BIT',\n  32769: 'CONSTANT_COLOR',\n  32770: 'ONE_MINUS_CONSTANT_COLOR',\n  32771: 'CONSTANT_ALPHA',\n  32772: 'ONE_MINUS_CONSTANT_ALPHA',\n  32773: 'BLEND_COLOR',\n  32774: 'FUNC_ADD',\n  32777: 'BLEND_EQUATION_RGB',\n  32778: 'FUNC_SUBTRACT',\n  32779: 'FUNC_REVERSE_SUBTRACT',\n  32819: 'UNSIGNED_SHORT_4_4_4_4',\n  32820: 'UNSIGNED_SHORT_5_5_5_1',\n  32823: 'POLYGON_OFFSET_FILL',\n  32824: 'POLYGON_OFFSET_FACTOR',\n  32854: 'RGBA4',\n  32855: 'RGB5_A1',\n  32873: 'TEXTURE_BINDING_2D',\n  32926: 'SAMPLE_ALPHA_TO_COVERAGE',\n  32928: 'SAMPLE_COVERAGE',\n  32936: 'SAMPLE_BUFFERS',\n  32937: 'SAMPLES',\n  32938: 'SAMPLE_COVERAGE_VALUE',\n  32939: 'SAMPLE_COVERAGE_INVERT',\n  32968: 'BLEND_DST_RGB',\n  32969: 'BLEND_SRC_RGB',\n  32970: 'BLEND_DST_ALPHA',\n  32971: 'BLEND_SRC_ALPHA',\n  33071: 'CLAMP_TO_EDGE',\n  33170: 'GENERATE_MIPMAP_HINT',\n  33189: 'DEPTH_COMPONENT16',\n  33306: 'DEPTH_STENCIL_ATTACHMENT',\n  33635: 'UNSIGNED_SHORT_5_6_5',\n  33648: 'MIRRORED_REPEAT',\n  33901: 'ALIASED_POINT_SIZE_RANGE',\n  33902: 'ALIASED_LINE_WIDTH_RANGE',\n  33984: 'TEXTURE0',\n  33985: 'TEXTURE1',\n  33986: 'TEXTURE2',\n  33987: 'TEXTURE3',\n  33988: 'TEXTURE4',\n  33989: 'TEXTURE5',\n  33990: 'TEXTURE6',\n  33991: 'TEXTURE7',\n  33992: 'TEXTURE8',\n  33993: 'TEXTURE9',\n  33994: 'TEXTURE10',\n  33995: 'TEXTURE11',\n  33996: 'TEXTURE12',\n  33997: 'TEXTURE13',\n  33998: 'TEXTURE14',\n  33999: 'TEXTURE15',\n  34000: 'TEXTURE16',\n  34001: 'TEXTURE17',\n  34002: 'TEXTURE18',\n  34003: 'TEXTURE19',\n  34004: 'TEXTURE20',\n  34005: 'TEXTURE21',\n  34006: 'TEXTURE22',\n  34007: 'TEXTURE23',\n  34008: 'TEXTURE24',\n  34009: 'TEXTURE25',\n  34010: 'TEXTURE26',\n  34011: 'TEXTURE27',\n  34012: 'TEXTURE28',\n  34013: 'TEXTURE29',\n  34014: 'TEXTURE30',\n  34015: 'TEXTURE31',\n  34016: 'ACTIVE_TEXTURE',\n  34024: 'MAX_RENDERBUFFER_SIZE',\n  34041: 'DEPTH_STENCIL',\n  34055: 'INCR_WRAP',\n  34056: 'DECR_WRAP',\n  34067: 'TEXTURE_CUBE_MAP',\n  34068: 'TEXTURE_BINDING_CUBE_MAP',\n  34069: 'TEXTURE_CUBE_MAP_POSITIVE_X',\n  34070: 'TEXTURE_CUBE_MAP_NEGATIVE_X',\n  34071: 'TEXTURE_CUBE_MAP_POSITIVE_Y',\n  34072: 'TEXTURE_CUBE_MAP_NEGATIVE_Y',\n  34073: 'TEXTURE_CUBE_MAP_POSITIVE_Z',\n  34074: 'TEXTURE_CUBE_MAP_NEGATIVE_Z',\n  34076: 'MAX_CUBE_MAP_TEXTURE_SIZE',\n  34338: 'VERTEX_ATTRIB_ARRAY_ENABLED',\n  34339: 'VERTEX_ATTRIB_ARRAY_SIZE',\n  34340: 'VERTEX_ATTRIB_ARRAY_STRIDE',\n  34341: 'VERTEX_ATTRIB_ARRAY_TYPE',\n  34342: 'CURRENT_VERTEX_ATTRIB',\n  34373: 'VERTEX_ATTRIB_ARRAY_POINTER',\n  34466: 'NUM_COMPRESSED_TEXTURE_FORMATS',\n  34467: 'COMPRESSED_TEXTURE_FORMATS',\n  34660: 'BUFFER_SIZE',\n  34661: 'BUFFER_USAGE',\n  34816: 'STENCIL_BACK_FUNC',\n  34817: 'STENCIL_BACK_FAIL',\n  34818: 'STENCIL_BACK_PASS_DEPTH_FAIL',\n  34819: 'STENCIL_BACK_PASS_DEPTH_PASS',\n  34877: 'BLEND_EQUATION_ALPHA',\n  34921: 'MAX_VERTEX_ATTRIBS',\n  34922: 'VERTEX_ATTRIB_ARRAY_NORMALIZED',\n  34930: 'MAX_TEXTURE_IMAGE_UNITS',\n  34962: 'ARRAY_BUFFER',\n  34963: 'ELEMENT_ARRAY_BUFFER',\n  34964: 'ARRAY_BUFFER_BINDING',\n  34965: 'ELEMENT_ARRAY_BUFFER_BINDING',\n  34975: 'VERTEX_ATTRIB_ARRAY_BUFFER_BINDING',\n  35040: 'STREAM_DRAW',\n  35044: 'STATIC_DRAW',\n  35048: 'DYNAMIC_DRAW',\n  35632: 'FRAGMENT_SHADER',\n  35633: 'VERTEX_SHADER',\n  35660: 'MAX_VERTEX_TEXTURE_IMAGE_UNITS',\n  35661: 'MAX_COMBINED_TEXTURE_IMAGE_UNITS',\n  35663: 'SHADER_TYPE',\n  35664: 'FLOAT_VEC2',\n  35665: 'FLOAT_VEC3',\n  35666: 'FLOAT_VEC4',\n  35667: 'INT_VEC2',\n  35668: 'INT_VEC3',\n  35669: 'INT_VEC4',\n  35670: 'BOOL',\n  35671: 'BOOL_VEC2',\n  35672: 'BOOL_VEC3',\n  35673: 'BOOL_VEC4',\n  35674: 'FLOAT_MAT2',\n  35675: 'FLOAT_MAT3',\n  35676: 'FLOAT_MAT4',\n  35678: 'SAMPLER_2D',\n  35680: 'SAMPLER_CUBE',\n  35712: 'DELETE_STATUS',\n  35713: 'COMPILE_STATUS',\n  35714: 'LINK_STATUS',\n  35715: 'VALIDATE_STATUS',\n  35716: 'INFO_LOG_LENGTH',\n  35717: 'ATTACHED_SHADERS',\n  35718: 'ACTIVE_UNIFORMS',\n  35719: 'ACTIVE_UNIFORM_MAX_LENGTH',\n  35720: 'SHADER_SOURCE_LENGTH',\n  35721: 'ACTIVE_ATTRIBUTES',\n  35722: 'ACTIVE_ATTRIBUTE_MAX_LENGTH',\n  35724: 'SHADING_LANGUAGE_VERSION',\n  35725: 'CURRENT_PROGRAM',\n  36003: 'STENCIL_BACK_REF',\n  36004: 'STENCIL_BACK_VALUE_MASK',\n  36005: 'STENCIL_BACK_WRITEMASK',\n  36006: 'FRAMEBUFFER_BINDING',\n  36007: 'RENDERBUFFER_BINDING',\n  36048: 'FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE',\n  36049: 'FRAMEBUFFER_ATTACHMENT_OBJECT_NAME',\n  36050: 'FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL',\n  36051: 'FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE',\n  36053: 'FRAMEBUFFER_COMPLETE',\n  36054: 'FRAMEBUFFER_INCOMPLETE_ATTACHMENT',\n  36055: 'FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT',\n  36057: 'FRAMEBUFFER_INCOMPLETE_DIMENSIONS',\n  36061: 'FRAMEBUFFER_UNSUPPORTED',\n  36064: 'COLOR_ATTACHMENT0',\n  36096: 'DEPTH_ATTACHMENT',\n  36128: 'STENCIL_ATTACHMENT',\n  36160: 'FRAMEBUFFER',\n  36161: 'RENDERBUFFER',\n  36162: 'RENDERBUFFER_WIDTH',\n  36163: 'RENDERBUFFER_HEIGHT',\n  36164: 'RENDERBUFFER_INTERNAL_FORMAT',\n  36168: 'STENCIL_INDEX8',\n  36176: 'RENDERBUFFER_RED_SIZE',\n  36177: 'RENDERBUFFER_GREEN_SIZE',\n  36178: 'RENDERBUFFER_BLUE_SIZE',\n  36179: 'RENDERBUFFER_ALPHA_SIZE',\n  36180: 'RENDERBUFFER_DEPTH_SIZE',\n  36181: 'RENDERBUFFER_STENCIL_SIZE',\n  36194: 'RGB565',\n  36336: 'LOW_FLOAT',\n  36337: 'MEDIUM_FLOAT',\n  36338: 'HIGH_FLOAT',\n  36339: 'LOW_INT',\n  36340: 'MEDIUM_INT',\n  36341: 'HIGH_INT',\n  36346: 'SHADER_COMPILER',\n  36347: 'MAX_VERTEX_UNIFORM_VECTORS',\n  36348: 'MAX_VARYING_VECTORS',\n  36349: 'MAX_FRAGMENT_UNIFORM_VECTORS',\n  37440: 'UNPACK_FLIP_Y_WEBGL',\n  37441: 'UNPACK_PREMULTIPLY_ALPHA_WEBGL',\n  37442: 'CONTEXT_LOST_WEBGL',\n  37443: 'UNPACK_COLORSPACE_CONVERSION_WEBGL',\n  37444: 'BROWSER_DEFAULT_WEBGL'\n}\n\n},{}],236:[function(_dereq_,module,exports){\nvar gl10 = _dereq_('./1.0/numbers')\n\nmodule.exports = function lookupConstant (number) {\n  return gl10[number]\n}\n\n},{\"./1.0/numbers\":235}],237:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createErrorBars\r\n\r\nvar createBuffer  = _dereq_('gl-buffer')\r\nvar createVAO     = _dereq_('gl-vao')\r\nvar createShader  = _dereq_('./shaders/index')\r\n\r\nvar IDENTITY = [1,0,0,0,\r\n                0,1,0,0,\r\n                0,0,1,0,\r\n                0,0,0,1]\r\n\r\nfunction ErrorBars(gl, buffer, vao, shader) {\r\n  this.gl           = gl\r\n  this.shader       = shader\r\n  this.buffer       = buffer\r\n  this.vao          = vao\r\n  this.pixelRatio   = 1\r\n  this.bounds       = [[ Infinity, Infinity, Infinity], [-Infinity,-Infinity,-Infinity]]\r\n  this.clipBounds   = [[-Infinity,-Infinity,-Infinity], [ Infinity, Infinity, Infinity]]\r\n  this.lineWidth    = [1,1,1]\r\n  this.capSize      = [10,10,10]\r\n  this.lineCount    = [0,0,0]\r\n  this.lineOffset   = [0,0,0]\r\n  this.opacity      = 1\r\n}\r\n\r\nvar proto = ErrorBars.prototype\r\n\r\nproto.isOpaque = function() {\r\n  return this.opacity >= 1\r\n}\r\n\r\nproto.isTransparent = function() {\r\n  return this.opacity < 1\r\n}\r\n\r\nproto.drawTransparent = proto.draw = function(cameraParams) {\r\n  var gl = this.gl\r\n  var uniforms        = this.shader.uniforms\r\n\r\n  this.shader.bind()\r\n  var view       = uniforms.view       = cameraParams.view       || IDENTITY\r\n  var projection = uniforms.projection = cameraParams.projection || IDENTITY\r\n  uniforms.model      = cameraParams.model      || IDENTITY\r\n  uniforms.clipBounds = this.clipBounds\r\n  uniforms.opacity    = this.opacity\r\n\r\n\r\n  var cx = view[12]\r\n  var cy = view[13]\r\n  var cz = view[14]\r\n  var cw = view[15]\r\n  var pixelScaleF = this.pixelRatio * (projection[3]*cx + projection[7]*cy + projection[11]*cz + projection[15]*cw) / gl.drawingBufferHeight\r\n\r\n  this.vao.bind()\r\n  for(var i=0; i<3; ++i) {\r\n    gl.lineWidth(this.lineWidth[i])\r\n    uniforms.capSize = this.capSize[i] * pixelScaleF\r\n    if (this.lineCount[i]) {\r\n      gl.drawArrays(gl.LINES, this.lineOffset[i], this.lineCount[i])\r\n    }\r\n  }\r\n  this.vao.unbind()\r\n}\r\n\r\nfunction updateBounds(bounds, point) {\r\n  for(var i=0; i<3; ++i) {\r\n    bounds[0][i] = Math.min(bounds[0][i], point[i])\r\n    bounds[1][i] = Math.max(bounds[1][i], point[i])\r\n  }\r\n}\r\n\r\nvar FACE_TABLE = (function(){\r\n  var table = new Array(3)\r\n  for(var d=0; d<3; ++d) {\r\n    var row = []\r\n    for(var j=1; j<=2; ++j) {\r\n      for(var s=-1; s<=1; s+=2) {\r\n        var u = (j+d) % 3\r\n        var y = [0,0,0]\r\n        y[u] = s\r\n        row.push(y)\r\n      }\r\n    }\r\n    table[d] = row\r\n  }\r\n  return table\r\n})()\r\n\r\n\r\nfunction emitFace(verts, x, c, d) {\r\n  var offsets = FACE_TABLE[d]\r\n  for(var i=0; i<offsets.length; ++i) {\r\n    var o = offsets[i]\r\n    verts.push(x[0], x[1], x[2],\r\n               c[0], c[1], c[2], c[3],\r\n               o[0], o[1], o[2])\r\n  }\r\n  return offsets.length\r\n}\r\n\r\nproto.update = function(options) {\r\n  options = options || {}\r\n\r\n  if('lineWidth' in options) {\r\n    this.lineWidth = options.lineWidth\r\n    if(!Array.isArray(this.lineWidth)) {\r\n      this.lineWidth = [this.lineWidth, this.lineWidth, this.lineWidth]\r\n    }\r\n  }\r\n  if('capSize' in options) {\r\n    this.capSize = options.capSize\r\n    if(!Array.isArray(this.capSize)) {\r\n      this.capSize = [this.capSize, this.capSize, this.capSize]\r\n    }\r\n  }\r\n  if('opacity' in options) {\r\n    this.opacity = options.opacity\r\n  }\r\n\r\n  var color    = options.color || [[0,0,0],[0,0,0],[0,0,0]]\r\n  var position = options.position\r\n  var error    = options.error\r\n  if(!Array.isArray(color[0])) {\r\n    color = [color,color,color]\r\n  }\r\n\r\n  if(position && error) {\r\n\r\n    var verts       = []\r\n    var n           = position.length\r\n    var vertexCount = 0\r\n    this.bounds     = [[ Infinity, Infinity, Infinity],\r\n                       [-Infinity,-Infinity,-Infinity]]\r\n    this.lineCount  = [0,0,0]\r\n\r\n    //Build geometry for lines\r\n    for(var j=0; j<3; ++j) {\r\n      this.lineOffset[j] = vertexCount\r\n\r\ni_loop:\r\n      for(var i=0; i<n; ++i) {\r\n        var p = position[i]\r\n\r\n        for(var k=0; k<3; ++k) {\r\n          if(isNaN(p[k]) || !isFinite(p[k])) {\r\n            continue i_loop\r\n          }\r\n        }\r\n\r\n        var e = error[i]\r\n        var c = color[j]\r\n        if(Array.isArray(c[0])) {\r\n          c = color[i]\r\n        }\r\n        if(c.length === 3) {\r\n          c = [c[0], c[1], c[2], 1]\r\n        }\r\n        if(isNaN(e[0][j]) || isNaN(e[1][j])) {\r\n          continue\r\n        }\r\n        if(e[0][j] < 0) {\r\n          var x = p.slice()\r\n          x[j] += e[0][j]\r\n          verts.push(p[0], p[1], p[2],\r\n                     c[0], c[1], c[2], c[3],\r\n                        0,    0,    0,\r\n                     x[0], x[1], x[2],\r\n                     c[0], c[1], c[2], c[3],\r\n                        0,    0,    0)\r\n          updateBounds(this.bounds, x)\r\n          vertexCount += 2 + emitFace(verts, x, c, j)\r\n        }\r\n        if(e[1][j] > 0) {\r\n          var x = p.slice()\r\n          x[j] += e[1][j]\r\n          verts.push(p[0], p[1], p[2],\r\n                     c[0], c[1], c[2], c[3],\r\n                        0,    0,    0,\r\n                     x[0], x[1], x[2],\r\n                     c[0], c[1], c[2], c[3],\r\n                        0,    0,    0)\r\n          updateBounds(this.bounds, x)\r\n          vertexCount += 2 + emitFace(verts, x, c, j)\r\n        }\r\n      }\r\n      this.lineCount[j] = vertexCount - this.lineOffset[j]\r\n    }\r\n    this.buffer.update(verts)\r\n  }\r\n}\r\n\r\nproto.dispose = function() {\r\n  this.shader.dispose()\r\n  this.buffer.dispose()\r\n  this.vao.dispose()\r\n}\r\n\r\nfunction createErrorBars(options) {\r\n  var gl = options.gl\r\n  var buffer = createBuffer(gl)\r\n  var vao = createVAO(gl, [\r\n      {\r\n        buffer: buffer,\r\n        type:   gl.FLOAT,\r\n        size:   3,\r\n        offset: 0,\r\n        stride: 40\r\n      },\r\n      {\r\n        buffer: buffer,\r\n        type:   gl.FLOAT,\r\n        size:   4,\r\n        offset: 12,\r\n        stride: 40\r\n      },\r\n      {\r\n        buffer: buffer,\r\n        type:   gl.FLOAT,\r\n        size:   3,\r\n        offset: 28,\r\n        stride: 40\r\n      }\r\n    ])\r\n\r\n  var shader = createShader(gl)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.color.location    = 1\r\n  shader.attributes.offset.location   = 2\r\n\r\n  var result = new ErrorBars(gl, buffer, vao, shader)\r\n  result.update(options)\r\n  return result\r\n}\r\n\n},{\"./shaders/index\":238,\"gl-buffer\":230,\"gl-vao\":310}],238:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar glslify = _dereq_('glslify')\r\nvar createShader = _dereq_('gl-shader')\r\n\r\nvar vertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"])\r\nvar fragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], fragPosition)) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"])\r\n\r\nmodule.exports = function(gl) {\r\n  return createShader(gl, vertSrc, fragSrc, null, [\r\n    {name: 'position', type: 'vec3'},\r\n    {name: 'color', type: 'vec4'},\r\n    {name: 'offset', type: 'vec3'}\r\n  ])\r\n}\r\n\n},{\"gl-shader\":288,\"glslify\":392}],239:[function(_dereq_,module,exports){\n'use strict'\n\nvar createTexture = _dereq_('gl-texture2d')\n\nmodule.exports = createFBO\n\nvar colorAttachmentArrays = null\nvar FRAMEBUFFER_UNSUPPORTED\nvar FRAMEBUFFER_INCOMPLETE_ATTACHMENT\nvar FRAMEBUFFER_INCOMPLETE_DIMENSIONS\nvar FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\n\nfunction saveFBOState(gl) {\n  var fbo = gl.getParameter(gl.FRAMEBUFFER_BINDING)\n  var rbo = gl.getParameter(gl.RENDERBUFFER_BINDING)\n  var tex = gl.getParameter(gl.TEXTURE_BINDING_2D)\n  return [fbo, rbo, tex]\n}\n\nfunction restoreFBOState(gl, data) {\n  gl.bindFramebuffer(gl.FRAMEBUFFER, data[0])\n  gl.bindRenderbuffer(gl.RENDERBUFFER, data[1])\n  gl.bindTexture(gl.TEXTURE_2D, data[2])\n}\n\nfunction lazyInitColorAttachments(gl, ext) {\n  var maxColorAttachments = gl.getParameter(ext.MAX_COLOR_ATTACHMENTS_WEBGL)\n  colorAttachmentArrays = new Array(maxColorAttachments + 1)\n  for(var i=0; i<=maxColorAttachments; ++i) {\n    var x = new Array(maxColorAttachments)\n    for(var j=0; j<i; ++j) {\n      x[j] = gl.COLOR_ATTACHMENT0 + j\n    }\n    for(var j=i; j<maxColorAttachments; ++j) {\n      x[j] = gl.NONE\n    }\n    colorAttachmentArrays[i] = x\n  }\n}\n\n//Throw an appropriate error\nfunction throwFBOError(status) {\n  switch(status){\n    case FRAMEBUFFER_UNSUPPORTED:\n      throw new Error('gl-fbo: Framebuffer unsupported')\n    case FRAMEBUFFER_INCOMPLETE_ATTACHMENT:\n      throw new Error('gl-fbo: Framebuffer incomplete attachment')\n    case FRAMEBUFFER_INCOMPLETE_DIMENSIONS:\n      throw new Error('gl-fbo: Framebuffer incomplete dimensions')\n    case FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:\n      throw new Error('gl-fbo: Framebuffer incomplete missing attachment')\n    default:\n      throw new Error('gl-fbo: Framebuffer failed for unspecified reason')\n  }\n}\n\n//Initialize a texture object\nfunction initTexture(gl, width, height, type, format, attachment) {\n  if(!type) {\n    return null\n  }\n  var result = createTexture(gl, width, height, format, type)\n  result.magFilter = gl.NEAREST\n  result.minFilter = gl.NEAREST\n  result.mipSamples = 1\n  result.bind()\n  gl.framebufferTexture2D(gl.FRAMEBUFFER, attachment, gl.TEXTURE_2D, result.handle, 0)\n  return result\n}\n\n//Initialize a render buffer object\nfunction initRenderBuffer(gl, width, height, component, attachment) {\n  var result = gl.createRenderbuffer()\n  gl.bindRenderbuffer(gl.RENDERBUFFER, result)\n  gl.renderbufferStorage(gl.RENDERBUFFER, component, width, height)\n  gl.framebufferRenderbuffer(gl.FRAMEBUFFER, attachment, gl.RENDERBUFFER, result)\n  return result\n}\n\n//Rebuild the frame buffer\nfunction rebuildFBO(fbo) {\n\n  //Save FBO state\n  var state = saveFBOState(fbo.gl)\n\n  var gl = fbo.gl\n  var handle = fbo.handle = gl.createFramebuffer()\n  var width = fbo._shape[0]\n  var height = fbo._shape[1]\n  var numColors = fbo.color.length\n  var ext = fbo._ext\n  var useStencil = fbo._useStencil\n  var useDepth = fbo._useDepth\n  var colorType = fbo._colorType\n\n  //Bind the fbo\n  gl.bindFramebuffer(gl.FRAMEBUFFER, handle)\n\n  //Allocate color buffers\n  for(var i=0; i<numColors; ++i) {\n    fbo.color[i] = initTexture(gl, width, height, colorType, gl.RGBA, gl.COLOR_ATTACHMENT0 + i)\n  }\n  if(numColors === 0) {\n    fbo._color_rb = initRenderBuffer(gl, width, height, gl.RGBA4, gl.COLOR_ATTACHMENT0)\n    if(ext) {\n      ext.drawBuffersWEBGL(colorAttachmentArrays[0])\n    }\n  } else if(numColors > 1) {\n    ext.drawBuffersWEBGL(colorAttachmentArrays[numColors])\n  }\n\n  //Allocate depth/stencil buffers\n  var WEBGL_depth_texture = gl.getExtension('WEBGL_depth_texture')\n  if(WEBGL_depth_texture) {\n    if(useStencil) {\n      fbo.depth = initTexture(gl, width, height,\n                          WEBGL_depth_texture.UNSIGNED_INT_24_8_WEBGL,\n                          gl.DEPTH_STENCIL,\n                          gl.DEPTH_STENCIL_ATTACHMENT)\n    } else if(useDepth) {\n      fbo.depth = initTexture(gl, width, height,\n                          gl.UNSIGNED_SHORT,\n                          gl.DEPTH_COMPONENT,\n                          gl.DEPTH_ATTACHMENT)\n    }\n  } else {\n    if(useDepth && useStencil) {\n      fbo._depth_rb = initRenderBuffer(gl, width, height, gl.DEPTH_STENCIL, gl.DEPTH_STENCIL_ATTACHMENT)\n    } else if(useDepth) {\n      fbo._depth_rb = initRenderBuffer(gl, width, height, gl.DEPTH_COMPONENT16, gl.DEPTH_ATTACHMENT)\n    } else if(useStencil) {\n      fbo._depth_rb = initRenderBuffer(gl, width, height, gl.STENCIL_INDEX, gl.STENCIL_ATTACHMENT)\n    }\n  }\n\n  //Check frame buffer state\n  var status = gl.checkFramebufferStatus(gl.FRAMEBUFFER)\n  if(status !== gl.FRAMEBUFFER_COMPLETE) {\n\n    //Release all partially allocated resources\n    fbo._destroyed = true\n\n    //Release all resources\n    gl.bindFramebuffer(gl.FRAMEBUFFER, null)\n    gl.deleteFramebuffer(fbo.handle)\n    fbo.handle = null\n    if(fbo.depth) {\n      fbo.depth.dispose()\n      fbo.depth = null\n    }\n    if(fbo._depth_rb) {\n      gl.deleteRenderbuffer(fbo._depth_rb)\n      fbo._depth_rb = null\n    }\n    for(var i=0; i<fbo.color.length; ++i) {\n      fbo.color[i].dispose()\n      fbo.color[i] = null\n    }\n    if(fbo._color_rb) {\n      gl.deleteRenderbuffer(fbo._color_rb)\n      fbo._color_rb = null\n    }\n\n    restoreFBOState(gl, state)\n\n    //Throw the frame buffer error\n    throwFBOError(status)\n  }\n\n  //Everything ok, let's get on with life\n  restoreFBOState(gl, state)\n}\n\nfunction Framebuffer(gl, width, height, colorType, numColors, useDepth, useStencil, ext) {\n\n  //Handle and set properties\n  this.gl = gl\n  this._shape = [width|0, height|0]\n  this._destroyed = false\n  this._ext = ext\n\n  //Allocate buffers\n  this.color = new Array(numColors)\n  for(var i=0; i<numColors; ++i) {\n    this.color[i] = null\n  }\n  this._color_rb = null\n  this.depth = null\n  this._depth_rb = null\n\n  //Save depth and stencil flags\n  this._colorType = colorType\n  this._useDepth = useDepth\n  this._useStencil = useStencil\n\n  //Shape vector for resizing\n  var parent = this\n  var shapeVector = [width|0, height|0]\n  Object.defineProperties(shapeVector, {\n    0: {\n      get: function() {\n        return parent._shape[0]\n      },\n      set: function(w) {\n        return parent.width = w\n      }\n    },\n    1: {\n      get: function() {\n        return parent._shape[1]\n      },\n      set: function(h) {\n        return parent.height = h\n      }\n    }\n  })\n  this._shapeVector = shapeVector\n\n  //Initialize all attachments\n  rebuildFBO(this)\n}\n\nvar proto = Framebuffer.prototype\n\nfunction reshapeFBO(fbo, w, h) {\n  //If fbo is invalid, just skip this\n  if(fbo._destroyed) {\n    throw new Error('gl-fbo: Can\\'t resize destroyed FBO')\n  }\n\n  //Don't resize if no change in shape\n  if( (fbo._shape[0] === w) &&\n      (fbo._shape[1] === h) ) {\n    return\n  }\n\n  var gl = fbo.gl\n\n  //Check parameter ranges\n  var maxFBOSize = gl.getParameter(gl.MAX_RENDERBUFFER_SIZE)\n  if( w < 0 || w > maxFBOSize ||\n      h < 0 || h > maxFBOSize) {\n    throw new Error('gl-fbo: Can\\'t resize FBO, invalid dimensions')\n  }\n\n  //Update shape\n  fbo._shape[0] = w\n  fbo._shape[1] = h\n\n  //Save framebuffer state\n  var state = saveFBOState(gl)\n\n  //Resize framebuffer attachments\n  for(var i=0; i<fbo.color.length; ++i) {\n    fbo.color[i].shape = fbo._shape\n  }\n  if(fbo._color_rb) {\n    gl.bindRenderbuffer(gl.RENDERBUFFER, fbo._color_rb)\n    gl.renderbufferStorage(gl.RENDERBUFFER, gl.RGBA4, fbo._shape[0], fbo._shape[1])\n  }\n  if(fbo.depth) {\n    fbo.depth.shape = fbo._shape\n  }\n  if(fbo._depth_rb) {\n    gl.bindRenderbuffer(gl.RENDERBUFFER, fbo._depth_rb)\n    if(fbo._useDepth && fbo._useStencil) {\n      gl.renderbufferStorage(gl.RENDERBUFFER, gl.DEPTH_STENCIL, fbo._shape[0], fbo._shape[1])\n    } else if(fbo._useDepth) {\n      gl.renderbufferStorage(gl.RENDERBUFFER, gl.DEPTH_COMPONENT16, fbo._shape[0], fbo._shape[1])\n    } else if(fbo._useStencil) {\n      gl.renderbufferStorage(gl.RENDERBUFFER, gl.STENCIL_INDEX, fbo._shape[0], fbo._shape[1])\n    }\n  }\n\n  //Check FBO status after resize, if something broke then die in a fire\n  gl.bindFramebuffer(gl.FRAMEBUFFER, fbo.handle)\n  var status = gl.checkFramebufferStatus(gl.FRAMEBUFFER)\n  if(status !== gl.FRAMEBUFFER_COMPLETE) {\n    fbo.dispose()\n    restoreFBOState(gl, state)\n    throwFBOError(status)\n  }\n\n  //Restore framebuffer state\n  restoreFBOState(gl, state)\n}\n\nObject.defineProperties(proto, {\n  'shape': {\n    get: function() {\n      if(this._destroyed) {\n        return [0,0]\n      }\n      return this._shapeVector\n    },\n    set: function(x) {\n      if(!Array.isArray(x)) {\n        x = [x|0, x|0]\n      }\n      if(x.length !== 2) {\n        throw new Error('gl-fbo: Shape vector must be length 2')\n      }\n\n      var w = x[0]|0\n      var h = x[1]|0\n      reshapeFBO(this, w, h)\n\n      return [w, h]\n    },\n    enumerable: false\n  },\n  'width': {\n    get: function() {\n      if(this._destroyed) {\n        return 0\n      }\n      return this._shape[0]\n    },\n    set: function(w) {\n      w = w|0\n      reshapeFBO(this, w, this._shape[1])\n      return w\n    },\n    enumerable: false\n  },\n  'height': {\n    get: function() {\n      if(this._destroyed) {\n        return 0\n      }\n      return this._shape[1]\n    },\n    set: function(h) {\n      h = h|0\n      reshapeFBO(this, this._shape[0], h)\n      return h\n    },\n    enumerable: false\n  }\n})\n\nproto.bind = function() {\n  if(this._destroyed) {\n    return\n  }\n  var gl = this.gl\n  gl.bindFramebuffer(gl.FRAMEBUFFER, this.handle)\n  gl.viewport(0, 0, this._shape[0], this._shape[1])\n}\n\nproto.dispose = function() {\n  if(this._destroyed) {\n    return\n  }\n  this._destroyed = true\n  var gl = this.gl\n  gl.deleteFramebuffer(this.handle)\n  this.handle = null\n  if(this.depth) {\n    this.depth.dispose()\n    this.depth = null\n  }\n  if(this._depth_rb) {\n    gl.deleteRenderbuffer(this._depth_rb)\n    this._depth_rb = null\n  }\n  for(var i=0; i<this.color.length; ++i) {\n    this.color[i].dispose()\n    this.color[i] = null\n  }\n  if(this._color_rb) {\n    gl.deleteRenderbuffer(this._color_rb)\n    this._color_rb = null\n  }\n}\n\nfunction createFBO(gl, width, height, options) {\n\n  //Update frame buffer error code values\n  if(!FRAMEBUFFER_UNSUPPORTED) {\n    FRAMEBUFFER_UNSUPPORTED = gl.FRAMEBUFFER_UNSUPPORTED\n    FRAMEBUFFER_INCOMPLETE_ATTACHMENT = gl.FRAMEBUFFER_INCOMPLETE_ATTACHMENT\n    FRAMEBUFFER_INCOMPLETE_DIMENSIONS = gl.FRAMEBUFFER_INCOMPLETE_DIMENSIONS\n    FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT = gl.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\n  }\n\n  //Lazily initialize color attachment arrays\n  var WEBGL_draw_buffers = gl.getExtension('WEBGL_draw_buffers')\n  if(!colorAttachmentArrays && WEBGL_draw_buffers) {\n    lazyInitColorAttachments(gl, WEBGL_draw_buffers)\n  }\n\n  //Special case: Can accept an array as argument\n  if(Array.isArray(width)) {\n    options = height\n    height = width[1]|0\n    width = width[0]|0\n  }\n\n  if(typeof width !== 'number') {\n    throw new Error('gl-fbo: Missing shape parameter')\n  }\n\n  //Validate width/height properties\n  var maxFBOSize = gl.getParameter(gl.MAX_RENDERBUFFER_SIZE)\n  if(width < 0 || width > maxFBOSize || height < 0 || height > maxFBOSize) {\n    throw new Error('gl-fbo: Parameters are too large for FBO')\n  }\n\n  //Handle each option type\n  options = options || {}\n\n  //Figure out number of color buffers to use\n  var numColors = 1\n  if('color' in options) {\n    numColors = Math.max(options.color|0, 0)\n    if(numColors < 0) {\n      throw new Error('gl-fbo: Must specify a nonnegative number of colors')\n    }\n    if(numColors > 1) {\n      //Check if multiple render targets supported\n      if(!WEBGL_draw_buffers) {\n        throw new Error('gl-fbo: Multiple draw buffer extension not supported')\n      } else if(numColors > gl.getParameter(WEBGL_draw_buffers.MAX_COLOR_ATTACHMENTS_WEBGL)) {\n        throw new Error('gl-fbo: Context does not support ' + numColors + ' draw buffers')\n      }\n    }\n  }\n\n  //Determine whether to use floating point textures\n  var colorType = gl.UNSIGNED_BYTE\n  var OES_texture_float = gl.getExtension('OES_texture_float')\n  if(options.float && numColors > 0) {\n    if(!OES_texture_float) {\n      throw new Error('gl-fbo: Context does not support floating point textures')\n    }\n    colorType = gl.FLOAT\n  } else if(options.preferFloat && numColors > 0) {\n    if(OES_texture_float) {\n      colorType = gl.FLOAT\n    }\n  }\n\n  //Check if we should use depth buffer\n  var useDepth = true\n  if('depth' in options) {\n    useDepth = !!options.depth\n  }\n\n  //Check if we should use a stencil buffer\n  var useStencil = false\n  if('stencil' in options) {\n    useStencil = !!options.stencil\n  }\n\n  return new Framebuffer(\n    gl,\n    width,\n    height,\n    colorType,\n    numColors,\n    useDepth,\n    useStencil,\n    WEBGL_draw_buffers)\n}\n\n},{\"gl-texture2d\":305}],240:[function(_dereq_,module,exports){\n\nvar sprintf = _dereq_('sprintf-js').sprintf;\nvar glConstants = _dereq_('gl-constants/lookup');\nvar shaderName = _dereq_('glsl-shader-name');\nvar addLineNumbers = _dereq_('add-line-numbers');\n\nmodule.exports = formatCompilerError;\n\nfunction formatCompilerError(errLog, src, type) {\n    \"use strict\";\n\n    var name = shaderName(src) || 'of unknown name (see npm glsl-shader-name)';\n\n    var typeName = 'unknown type';\n    if (type !== undefined) {\n        typeName = type === glConstants.FRAGMENT_SHADER ? 'fragment' : 'vertex'\n    }\n\n    var longForm = sprintf('Error compiling %s shader %s:\\n', typeName, name);\n    var shortForm = sprintf(\"%s%s\", longForm, errLog);\n\n    var errorStrings = errLog.split('\\n');\n    var errors = {};\n\n    for (var i = 0; i < errorStrings.length; i++) {\n        var errorString = errorStrings[i];\n        if (errorString === '' || errorString === \"\\0\") continue;\n        var lineNo = parseInt(errorString.split(':')[2]);\n        if (isNaN(lineNo)) {\n            throw new Error(sprintf('Could not parse error: %s', errorString));\n        }\n        errors[lineNo] = errorString;\n    }\n\n    var lines = addLineNumbers(src).split('\\n');\n\n    for (var i = 0; i < lines.length; i++) {\n        if (!errors[i+3] && !errors[i+2] && !errors[i+1]) continue;\n        var line = lines[i];\n        longForm += line + '\\n';\n        if (errors[i+1]) {\n            var e = errors[i+1];\n            e = e.substr(e.split(':', 3).join(':').length + 1).trim();\n            longForm += sprintf('^^^ %s\\n\\n', e);\n        }\n    }\n\n    return {\n        long: longForm.trim(),\n        short: shortForm.trim()\n    };\n}\n\n\n},{\"add-line-numbers\":49,\"gl-constants/lookup\":236,\"glsl-shader-name\":384,\"sprintf-js\":504}],241:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createHeatmap2D\r\n\r\nvar bsearch = _dereq_('binary-search-bounds')\r\nvar iota = _dereq_('iota-array')\r\nvar pool = _dereq_('typedarray-pool')\r\nvar createShader = _dereq_('gl-shader')\r\nvar createBuffer = _dereq_('gl-buffer')\r\n\r\nvar shaders = _dereq_('./lib/shaders')\r\n\r\nfunction GLHeatmap2D (\r\n  plot,\r\n  shader,\r\n  pickShader,\r\n  positionBuffer,\r\n  weightBuffer,\r\n  colorBuffer,\r\n  idBuffer) {\r\n  this.plot = plot\r\n  this.shader = shader\r\n  this.pickShader = pickShader\r\n  this.positionBuffer = positionBuffer\r\n  this.weightBuffer = weightBuffer\r\n  this.colorBuffer = colorBuffer\r\n  this.idBuffer = idBuffer\r\n  this.xData = []\r\n  this.yData = []\r\n  this.shape = [0, 0]\r\n  this.bounds = [Infinity, Infinity, -Infinity, -Infinity]\r\n  this.pickOffset = 0\r\n}\r\n\r\nvar proto = GLHeatmap2D.prototype\r\n\r\nvar WEIGHTS = [\r\n  0, 0,\r\n  1, 0,\r\n  0, 1,\r\n  1, 0,\r\n  1, 1,\r\n  0, 1\r\n]\r\n\r\nproto.draw = (function () {\r\n  var MATRIX = [\r\n    1, 0, 0,\r\n    0, 1, 0,\r\n    0, 0, 1\r\n  ]\r\n\r\n  return function () {\r\n    var plot = this.plot\r\n    var shader = this.shader\r\n    var bounds = this.bounds\r\n    var numVertices = this.numVertices\r\n\r\n    if (numVertices <= 0) {\r\n      return\r\n    }\r\n\r\n    var gl = plot.gl\r\n    var dataBox = plot.dataBox\r\n\r\n    var boundX = bounds[2] - bounds[0]\r\n    var boundY = bounds[3] - bounds[1]\r\n    var dataX = dataBox[2] - dataBox[0]\r\n    var dataY = dataBox[3] - dataBox[1]\r\n\r\n    MATRIX[0] = 2.0 * boundX / dataX\r\n    MATRIX[4] = 2.0 * boundY / dataY\r\n    MATRIX[6] = 2.0 * (bounds[0] - dataBox[0]) / dataX - 1.0\r\n    MATRIX[7] = 2.0 * (bounds[1] - dataBox[1]) / dataY - 1.0\r\n\r\n    shader.bind()\r\n\r\n    var uniforms = shader.uniforms\r\n    uniforms.viewTransform = MATRIX\r\n\r\n    uniforms.shape = this.shape\r\n\r\n    var attributes = shader.attributes\r\n    this.positionBuffer.bind()\r\n    attributes.position.pointer()\r\n\r\n    this.weightBuffer.bind()\r\n    attributes.weight.pointer(gl.UNSIGNED_BYTE, false)\r\n\r\n    this.colorBuffer.bind()\r\n    attributes.color.pointer(gl.UNSIGNED_BYTE, true)\r\n\r\n    gl.drawArrays(gl.TRIANGLES, 0, numVertices)\r\n  }\r\n})()\r\n\r\nproto.drawPick = (function () {\r\n  var MATRIX = [\r\n    1, 0, 0,\r\n    0, 1, 0,\r\n    0, 0, 1\r\n  ]\r\n\r\n  var PICK_VECTOR = [0, 0, 0, 0]\r\n\r\n  return function (pickOffset) {\r\n    var plot = this.plot\r\n    var shader = this.pickShader\r\n    var bounds = this.bounds\r\n    var numVertices = this.numVertices\r\n\r\n    if (numVertices <= 0) {\r\n      return\r\n    }\r\n\r\n    var gl = plot.gl\r\n    var dataBox = plot.dataBox\r\n\r\n    var boundX = bounds[2] - bounds[0]\r\n    var boundY = bounds[3] - bounds[1]\r\n    var dataX = dataBox[2] - dataBox[0]\r\n    var dataY = dataBox[3] - dataBox[1]\r\n\r\n    MATRIX[0] = 2.0 * boundX / dataX\r\n    MATRIX[4] = 2.0 * boundY / dataY\r\n    MATRIX[6] = 2.0 * (bounds[0] - dataBox[0]) / dataX - 1.0\r\n    MATRIX[7] = 2.0 * (bounds[1] - dataBox[1]) / dataY - 1.0\r\n\r\n    for (var i = 0; i < 4; ++i) {\r\n      PICK_VECTOR[i] = (pickOffset >> (i * 8)) & 0xff\r\n    }\r\n\r\n    this.pickOffset = pickOffset\r\n\r\n    shader.bind()\r\n\r\n    var uniforms = shader.uniforms\r\n    uniforms.viewTransform = MATRIX\r\n    uniforms.pickOffset = PICK_VECTOR\r\n    uniforms.shape = this.shape\r\n\r\n    var attributes = shader.attributes\r\n    this.positionBuffer.bind()\r\n    attributes.position.pointer()\r\n\r\n    this.weightBuffer.bind()\r\n    attributes.weight.pointer(gl.UNSIGNED_BYTE, false)\r\n\r\n    this.idBuffer.bind()\r\n    attributes.pickId.pointer(gl.UNSIGNED_BYTE, false)\r\n\r\n    gl.drawArrays(gl.TRIANGLES, 0, numVertices)\r\n\r\n    return pickOffset + this.shape[0] * this.shape[1]\r\n  }\r\n})()\r\n\r\nproto.pick = function (x, y, value) {\r\n  var pickOffset = this.pickOffset\r\n  var pointCount = this.shape[0] * this.shape[1]\r\n  if (value < pickOffset || value >= pickOffset + pointCount) {\r\n    return null\r\n  }\r\n  var pointId = value - pickOffset\r\n  var xData = this.xData\r\n  var yData = this.yData\r\n  return {\r\n    object: this,\r\n    pointId: pointId,\r\n    dataCoord: [\r\n      xData[pointId % this.shape[0]],\r\n      yData[(pointId / this.shape[0]) | 0]]\r\n  }\r\n}\r\n\r\nproto.update = function (options) {\r\n  options = options || {}\r\n\r\n  var shape = options.shape || [0, 0]\r\n\r\n  var x = options.x || iota(shape[0])\r\n  var y = options.y || iota(shape[1])\r\n  var z = options.z || new Float32Array(shape[0] * shape[1])\r\n\r\n  this.xData = x\r\n  this.yData = y\r\n\r\n  var colorLevels = options.colorLevels || [0]\r\n  var colorValues = options.colorValues || [0, 0, 0, 1]\r\n  var colorCount = colorLevels.length\r\n\r\n  var bounds = this.bounds\r\n  var lox = bounds[0] = x[0]\r\n  var loy = bounds[1] = y[0]\r\n  var hix = bounds[2] = x[x.length - 1]\r\n  var hiy = bounds[3] = y[y.length - 1]\r\n\r\n  var xs = 1.0 / (hix - lox)\r\n  var ys = 1.0 / (hiy - loy)\r\n\r\n  var numX = shape[0]\r\n  var numY = shape[1]\r\n\r\n  this.shape = [numX, numY]\r\n\r\n  var numVerts = (numX - 1) * (numY - 1) * (WEIGHTS.length >>> 1)\r\n\r\n  this.numVertices = numVerts\r\n\r\n  var colors = pool.mallocUint8(numVerts * 4)\r\n  var positions = pool.mallocFloat32(numVerts * 2)\r\n  var weights   = pool.mallocUint8 (numVerts * 2)\r\n  var ids = pool.mallocUint32(numVerts)\r\n\r\n  var ptr = 0\r\n\r\n  for (var j = 0; j < numY - 1; ++j) {\r\n    var yc0 = ys * (y[j] - loy)\r\n    var yc1 = ys * (y[j + 1] - loy)\r\n    for (var i = 0; i < numX - 1; ++i) {\r\n      var xc0 = xs * (x[i] - lox)\r\n      var xc1 = xs * (x[i + 1] - lox)\r\n\r\n      for (var dd = 0; dd < WEIGHTS.length; dd += 2) {\r\n        var dx = WEIGHTS[dd]\r\n        var dy = WEIGHTS[dd + 1]\r\n        var offset = (j + dy) * numX + (i + dx)\r\n        var zc = z[offset]\r\n        var colorIdx = bsearch.le(colorLevels, zc)\r\n        var r, g, b, a\r\n        if (colorIdx < 0) {\r\n          r = colorValues[0]\r\n          g = colorValues[1]\r\n          b = colorValues[2]\r\n          a = colorValues[3]\r\n        } else if (colorIdx === colorCount - 1) {\r\n          r = colorValues[4 * colorCount - 4]\r\n          g = colorValues[4 * colorCount - 3]\r\n          b = colorValues[4 * colorCount - 2]\r\n          a = colorValues[4 * colorCount - 1]\r\n        } else {\r\n          var t = (zc - colorLevels[colorIdx]) /\r\n            (colorLevels[colorIdx + 1] - colorLevels[colorIdx])\r\n          var ti = 1.0 - t\r\n          var i0 = 4 * colorIdx\r\n          var i1 = 4 * (colorIdx + 1)\r\n          r = ti * colorValues[i0] + t * colorValues[i1]\r\n          g = ti * colorValues[i0 + 1] + t * colorValues[i1 + 1]\r\n          b = ti * colorValues[i0 + 2] + t * colorValues[i1 + 2]\r\n          a = ti * colorValues[i0 + 3] + t * colorValues[i1 + 3]\r\n        }\r\n\r\n        colors[4 * ptr] = 255 * r\r\n        colors[4 * ptr + 1] = 255 * g\r\n        colors[4 * ptr + 2] = 255 * b\r\n        colors[4 * ptr + 3] = 255 * a\r\n\r\n        positions[2*ptr] = xc0*.5 + xc1*.5;\r\n        positions[2*ptr+1] = yc0*.5 + yc1*.5;\r\n\r\n        weights[2*ptr] = dx;\r\n        weights[2*ptr+1] = dy;\r\n\r\n        ids[ptr] = j * numX + i\r\n\r\n        ptr += 1\r\n      }\r\n    }\r\n  }\r\n\r\n  this.positionBuffer.update(positions)\r\n  this.weightBuffer.update(weights)\r\n  this.colorBuffer.update(colors)\r\n  this.idBuffer.update(ids)\r\n\r\n  pool.free(positions)\r\n  pool.free(colors)\r\n  pool.free(weights)\r\n  pool.free(ids)\r\n}\r\n\r\nproto.dispose = function () {\r\n  this.shader.dispose()\r\n  this.pickShader.dispose()\r\n  this.positionBuffer.dispose()\r\n  this.weightBuffer.dispose()\r\n  this.colorBuffer.dispose()\r\n  this.idBuffer.dispose()\r\n  this.plot.removeObject(this)\r\n}\r\n\r\nfunction createHeatmap2D (plot, options) {\r\n  var gl = plot.gl\r\n\r\n  var shader = createShader(gl, shaders.vertex, shaders.fragment)\r\n  var pickShader = createShader(gl, shaders.pickVertex, shaders.pickFragment)\r\n\r\n  var positionBuffer = createBuffer(gl)\r\n  var weightBuffer   = createBuffer(gl)\r\n  var colorBuffer = createBuffer(gl)\r\n  var idBuffer = createBuffer(gl)\r\n\r\n  var heatmap = new GLHeatmap2D(\r\n    plot,\r\n    shader,\r\n    pickShader,\r\n    positionBuffer,\r\n    weightBuffer,\r\n    colorBuffer,\r\n    idBuffer)\r\n\r\n  heatmap.update(options)\r\n  plot.addObject(heatmap)\r\n\r\n  return heatmap\r\n}\r\n\n},{\"./lib/shaders\":242,\"binary-search-bounds\":243,\"gl-buffer\":230,\"gl-shader\":288,\"iota-array\":399,\"typedarray-pool\":522}],242:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar glslify = _dereq_('glslify')\r\n\r\nmodule.exports = {\r\n  fragment:     glslify([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),\r\n  vertex:       glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),\r\n  pickFragment: glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),\r\n  pickVertex:   glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])\r\n}\r\n\n},{\"glslify\":392}],243:[function(_dereq_,module,exports){\narguments[4][99][0].apply(exports,arguments)\n},{\"dup\":99}],244:[function(_dereq_,module,exports){\nvar glslify       = _dereq_('glslify')\nvar createShader  = _dereq_('gl-shader')\n\nvar vertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"])\nvar forwardFrag = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"])\nvar pickFrag = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1540259130(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp float m = av * pow(2.0, -e) - 1.0;\\n  \\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n  \\n  //Unpack exponent\\n  highp float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0; \\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1540259130(pixelArcLength).xyz);\\n}\"])\n\nvar ATTRIBUTES = [\n  {name: 'position', type: 'vec3'},\n  {name: 'nextPosition', type: 'vec3'},\n  {name: 'arcLength', type: 'float'},\n  {name: 'lineWidth', type: 'float'},\n  {name: 'color', type: 'vec4'}\n]\n\nexports.createShader = function(gl) {\n  return createShader(gl, vertSrc, forwardFrag, null, ATTRIBUTES)\n}\n\nexports.createPickShader = function(gl) {\n  return createShader(gl, vertSrc, pickFrag, null, ATTRIBUTES)\n}\n\n},{\"gl-shader\":288,\"glslify\":392}],245:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = createLinePlot\n\nvar createBuffer = _dereq_('gl-buffer')\nvar createVAO = _dereq_('gl-vao')\nvar createTexture = _dereq_('gl-texture2d')\nvar unpackFloat = _dereq_('glsl-read-float')\nvar bsearch = _dereq_('binary-search-bounds')\nvar ndarray = _dereq_('ndarray')\nvar shaders = _dereq_('./lib/shaders')\n\nvar createShader = shaders.createShader\nvar createPickShader = shaders.createPickShader\n\nvar identity = [1, 0, 0, 0,\n  0, 1, 0, 0,\n  0, 0, 1, 0,\n  0, 0, 0, 1]\n\nfunction distance (a, b) {\n  var s = 0.0\n  for (var i = 0; i < 3; ++i) {\n    var d = a[i] - b[i]\n    s += d * d\n  }\n  return Math.sqrt(s)\n}\n\nfunction filterClipBounds (bounds) {\n  var result = [[-1e6, -1e6, -1e6], [1e6, 1e6, 1e6]]\n  for (var i = 0; i < 3; ++i) {\n    result[0][i] = Math.max(bounds[0][i], result[0][i])\n    result[1][i] = Math.min(bounds[1][i], result[1][i])\n  }\n  return result\n}\n\nfunction PickResult (tau, position, index, dataCoordinate) {\n  this.arcLength = tau\n  this.position = position\n  this.index = index\n  this.dataCoordinate = dataCoordinate\n}\n\nfunction LinePlot (gl, shader, pickShader, buffer, vao, texture) {\n  this.gl = gl\n  this.shader = shader\n  this.pickShader = pickShader\n  this.buffer = buffer\n  this.vao = vao\n  this.clipBounds = [\n    [ -Infinity, -Infinity, -Infinity ],\n    [ Infinity, Infinity, Infinity ]]\n  this.points = []\n  this.arcLength = []\n  this.vertexCount = 0\n  this.bounds = [[0, 0, 0], [0, 0, 0]]\n  this.pickId = 0\n  this.lineWidth = 1\n  this.texture = texture\n  this.dashScale = 1\n  this.opacity = 1\n  this.dirty = true\n  this.pixelRatio = 1\n}\n\nvar proto = LinePlot.prototype\n\nproto.isTransparent = function () {\n  return this.opacity < 1\n}\n\nproto.isOpaque = function () {\n  return this.opacity >= 1\n}\n\nproto.pickSlots = 1\n\nproto.setPickBase = function (id) {\n  this.pickId = id\n}\n\nproto.drawTransparent = proto.draw = function (camera) {\n  if (!this.vertexCount) return\n  var gl = this.gl\n  var shader = this.shader\n  var vao = this.vao\n  shader.bind()\n  shader.uniforms = {\n    model: camera.model || identity,\n    view: camera.view || identity,\n    projection: camera.projection || identity,\n    clipBounds: filterClipBounds(this.clipBounds),\n    dashTexture: this.texture.bind(),\n    dashScale: this.dashScale / this.arcLength[this.arcLength.length - 1],\n    opacity: this.opacity,\n    screenShape: [gl.drawingBufferWidth, gl.drawingBufferHeight],\n    pixelRatio: this.pixelRatio\n  }\n  vao.bind()\n  vao.draw(gl.TRIANGLE_STRIP, this.vertexCount)\n  vao.unbind()\n}\n\nproto.drawPick = function (camera) {\n  if (!this.vertexCount) return\n  var gl = this.gl\n  var shader = this.pickShader\n  var vao = this.vao\n  shader.bind()\n  shader.uniforms = {\n    model: camera.model || identity,\n    view: camera.view || identity,\n    projection: camera.projection || identity,\n    pickId: this.pickId,\n    clipBounds: filterClipBounds(this.clipBounds),\n    screenShape: [gl.drawingBufferWidth, gl.drawingBufferHeight],\n    pixelRatio: this.pixelRatio\n  }\n  vao.bind()\n  vao.draw(gl.TRIANGLE_STRIP, this.vertexCount)\n  vao.unbind()\n}\n\nproto.update = function (options) {\n  var i, j\n\n  this.dirty = true\n\n  var connectGaps = !!options.connectGaps\n\n  if ('dashScale' in options) {\n    this.dashScale = options.dashScale\n  }\n  if ('opacity' in options) {\n    this.opacity = +options.opacity\n  }\n\n  // Recalculate buffer data\n  var buffer = []\n  var arcLengthArray = []\n  var pointArray = []\n  var arcLength = 0.0\n  var vertexCount = 0\n  var bounds = [\n    [ Infinity, Infinity, Infinity ],\n    [ -Infinity, -Infinity, -Infinity ]]\n\n  var positions = options.position || options.positions\n  if (positions) {\n\n    // Default color\n    var colors = options.color || options.colors || [0, 0, 0, 1]\n\n    var lineWidth = options.lineWidth || 1\n\n    var hadGap = false\n\n    fill_loop:\n    for (i = 1; i < positions.length; ++i) {\n      var a = positions[i - 1]\n      var b = positions[i]\n\n      arcLengthArray.push(arcLength)\n      pointArray.push(a.slice())\n\n      for (j = 0; j < 3; ++j) {\n        if (isNaN(a[j]) || isNaN(b[j]) ||\n          !isFinite(a[j]) || !isFinite(b[j])) {\n\n          if (!connectGaps && buffer.length > 0) {\n            for (var k = 0; k < 24; ++k) {\n              buffer.push(buffer[buffer.length - 12])\n            }\n            vertexCount += 2\n            hadGap = true\n          }\n\n          continue fill_loop\n        }\n        bounds[0][j] = Math.min(bounds[0][j], a[j], b[j])\n        bounds[1][j] = Math.max(bounds[1][j], a[j], b[j])\n      }\n\n      var acolor, bcolor\n      if (Array.isArray(colors[0])) {\n        acolor = (colors.length > i - 1) ? colors[i - 1] :             // using index value\n                 (colors.length > 0)     ? colors[colors.length - 1] : // using last item\n                                           [0, 0, 0, 1];               // using black\n\n        bcolor = (colors.length > i) ? colors[i] :                 // using index value\n                 (colors.length > 0) ? colors[colors.length - 1] : // using last item\n                                       [0, 0, 0, 1];               // using black\n      } else {\n        acolor = bcolor = colors\n      }\n\n      if (acolor.length === 3) {\n        acolor = [acolor[0], acolor[1], acolor[2], 1]\n      }\n      if (bcolor.length === 3) {\n        bcolor = [bcolor[0], bcolor[1], bcolor[2], 1]\n      }\n\n      var w0\n      if (Array.isArray(lineWidth)) {\n        w0 = (lineWidth.length > i - 1) ? lineWidth[i - 1] :                // using index value\n             (lineWidth.length > 0)     ? lineWidth[lineWidth.length - 1] : // using last item\n                                          [0, 0, 0, 1];                     // using black\n      } else {\n        w0 = lineWidth\n      }\n\n      var t0 = arcLength\n      arcLength += distance(a, b)\n\n      if (hadGap) {\n        for (j = 0; j < 2; ++j) {\n          buffer.push(\n            a[0], a[1], a[2], b[0], b[1], b[2], t0, w0, acolor[0], acolor[1], acolor[2], acolor[3])\n        }\n        vertexCount += 2\n        hadGap = false\n      }\n\n      buffer.push(\n        a[0], a[1], a[2], b[0], b[1], b[2], t0, w0, acolor[0], acolor[1], acolor[2], acolor[3],\n        a[0], a[1], a[2], b[0], b[1], b[2], t0, -w0, acolor[0], acolor[1], acolor[2], acolor[3],\n        b[0], b[1], b[2], a[0], a[1], a[2], arcLength, -w0, bcolor[0], bcolor[1], bcolor[2], bcolor[3],\n        b[0], b[1], b[2], a[0], a[1], a[2], arcLength, w0, bcolor[0], bcolor[1], bcolor[2], bcolor[3])\n\n      vertexCount += 4\n    }\n  }\n  this.buffer.update(buffer)\n\n  arcLengthArray.push(arcLength)\n  pointArray.push(positions[positions.length - 1].slice())\n\n  this.bounds = bounds\n\n  this.vertexCount = vertexCount\n\n  this.points = pointArray\n  this.arcLength = arcLengthArray\n\n  if ('dashes' in options) {\n    var dashArray = options.dashes\n\n    // Calculate prefix sum\n    var prefixSum = dashArray.slice()\n    prefixSum.unshift(0)\n    for (i = 1; i < prefixSum.length; ++i) {\n      prefixSum[i] = prefixSum[i - 1] + prefixSum[i]\n    }\n\n    var dashTexture = ndarray(new Array(256 * 4), [256, 1, 4])\n    for (i = 0; i < 256; ++i) {\n      for (j = 0; j < 4; ++j) {\n        dashTexture.set(i, 0, j, 0)\n      }\n      if (bsearch.le(prefixSum, prefixSum[prefixSum.length - 1] * i / 255.0) & 1) {\n        dashTexture.set(i, 0, 0, 0)\n      } else {\n        dashTexture.set(i, 0, 0, 255)\n      }\n    }\n\n    this.texture.setPixels(dashTexture)\n  }\n}\n\nproto.dispose = function () {\n  this.shader.dispose()\n  this.vao.dispose()\n  this.buffer.dispose()\n}\n\nproto.pick = function (selection) {\n  if (!selection) {\n    return null\n  }\n  if (selection.id !== this.pickId) {\n    return null\n  }\n  var tau = unpackFloat(\n    selection.value[0],\n    selection.value[1],\n    selection.value[2],\n    0)\n  var index = bsearch.le(this.arcLength, tau)\n  if (index < 0) {\n    return null\n  }\n  if (index === this.arcLength.length - 1) {\n    return new PickResult(\n      this.arcLength[this.arcLength.length - 1],\n      this.points[this.points.length - 1].slice(),\n      index)\n  }\n  var a = this.points[index]\n  var b = this.points[Math.min(index + 1, this.points.length - 1)]\n  var t = (tau - this.arcLength[index]) / (this.arcLength[index + 1] - this.arcLength[index])\n  var ti = 1.0 - t\n  var x = [0, 0, 0]\n  for (var i = 0; i < 3; ++i) {\n    x[i] = ti * a[i] + t * b[i]\n  }\n  var dataIndex = Math.min((t < 0.5) ? index : (index + 1), this.points.length - 1)\n  return new PickResult(\n    tau,\n    x,\n    dataIndex,\n    this.points[dataIndex])\n}\n\nfunction createLinePlot (options) {\n  var gl = options.gl || (options.scene && options.scene.gl)\n\n  var shader = createShader(gl)\n  shader.attributes.position.location = 0\n  shader.attributes.nextPosition.location = 1\n  shader.attributes.arcLength.location = 2\n  shader.attributes.lineWidth.location = 3\n  shader.attributes.color.location = 4\n\n  var pickShader = createPickShader(gl)\n  pickShader.attributes.position.location = 0\n  pickShader.attributes.nextPosition.location = 1\n  pickShader.attributes.arcLength.location = 2\n  pickShader.attributes.lineWidth.location = 3\n  pickShader.attributes.color.location = 4\n\n  var buffer = createBuffer(gl)\n  var vao = createVAO(gl, [\n    {\n      'buffer': buffer,\n      'size': 3,\n      'offset': 0,\n      'stride': 48\n    },\n    {\n      'buffer': buffer,\n      'size': 3,\n      'offset': 12,\n      'stride': 48\n    },\n    {\n      'buffer': buffer,\n      'size': 1,\n      'offset': 24,\n      'stride': 48\n    },\n    {\n      'buffer': buffer,\n      'size': 1,\n      'offset': 28,\n      'stride': 48\n    },\n    {\n      'buffer': buffer,\n      'size': 4,\n      'offset': 32,\n      'stride': 48\n    }\n  ])\n\n  // Create texture for dash pattern\n  var defaultTexture = ndarray(new Array(256 * 4), [256, 1, 4])\n  for (var i = 0; i < 256 * 4; ++i) {\n    defaultTexture.data[i] = 255\n  }\n  var texture = createTexture(gl, defaultTexture)\n  texture.wrap = gl.REPEAT\n\n  var linePlot = new LinePlot(gl, shader, pickShader, buffer, vao, texture)\n  linePlot.update(options)\n  return linePlot\n}\n\n},{\"./lib/shaders\":244,\"binary-search-bounds\":79,\"gl-buffer\":230,\"gl-texture2d\":305,\"gl-vao\":310,\"glsl-read-float\":383,\"ndarray\":433}],246:[function(_dereq_,module,exports){\nmodule.exports = invert\n\n/**\n * Inverts a mat2\n *\n * @alias mat2.invert\n * @param {mat2} out the receiving matrix\n * @param {mat2} a the source matrix\n * @returns {mat2} out\n */\nfunction invert(out, a) {\n  var a0 = a[0]\n  var a1 = a[1]\n  var a2 = a[2]\n  var a3 = a[3]\n  var det = a0 * a3 - a2 * a1\n\n  if (!det) return null\n  det = 1.0 / det\n\n  out[0] =  a3 * det\n  out[1] = -a1 * det\n  out[2] = -a2 * det\n  out[3] =  a0 * det\n\n  return out\n}\n\n},{}],247:[function(_dereq_,module,exports){\nmodule.exports = invert\n\n/**\n * Inverts a mat3\n *\n * @alias mat3.invert\n * @param {mat3} out the receiving matrix\n * @param {mat3} a the source matrix\n * @returns {mat3} out\n */\nfunction invert(out, a) {\n  var a00 = a[0], a01 = a[1], a02 = a[2]\n  var a10 = a[3], a11 = a[4], a12 = a[5]\n  var a20 = a[6], a21 = a[7], a22 = a[8]\n\n  var b01 = a22 * a11 - a12 * a21\n  var b11 = -a22 * a10 + a12 * a20\n  var b21 = a21 * a10 - a11 * a20\n\n  // Calculate the determinant\n  var det = a00 * b01 + a01 * b11 + a02 * b21\n\n  if (!det) return null\n  det = 1.0 / det\n\n  out[0] = b01 * det\n  out[1] = (-a22 * a01 + a02 * a21) * det\n  out[2] = (a12 * a01 - a02 * a11) * det\n  out[3] = b11 * det\n  out[4] = (a22 * a00 - a02 * a20) * det\n  out[5] = (-a12 * a00 + a02 * a10) * det\n  out[6] = b21 * det\n  out[7] = (-a21 * a00 + a01 * a20) * det\n  out[8] = (a11 * a00 - a01 * a10) * det\n\n  return out\n}\n\n},{}],248:[function(_dereq_,module,exports){\nmodule.exports = clone;\n\n/**\n * Creates a new mat4 initialized with values from an existing matrix\n *\n * @param {mat4} a matrix to clone\n * @returns {mat4} a new 4x4 matrix\n */\nfunction clone(a) {\n    var out = new Float32Array(16);\n    out[0] = a[0];\n    out[1] = a[1];\n    out[2] = a[2];\n    out[3] = a[3];\n    out[4] = a[4];\n    out[5] = a[5];\n    out[6] = a[6];\n    out[7] = a[7];\n    out[8] = a[8];\n    out[9] = a[9];\n    out[10] = a[10];\n    out[11] = a[11];\n    out[12] = a[12];\n    out[13] = a[13];\n    out[14] = a[14];\n    out[15] = a[15];\n    return out;\n};\n},{}],249:[function(_dereq_,module,exports){\nmodule.exports = create;\n\n/**\n * Creates a new identity mat4\n *\n * @returns {mat4} a new 4x4 matrix\n */\nfunction create() {\n    var out = new Float32Array(16);\n    out[0] = 1;\n    out[1] = 0;\n    out[2] = 0;\n    out[3] = 0;\n    out[4] = 0;\n    out[5] = 1;\n    out[6] = 0;\n    out[7] = 0;\n    out[8] = 0;\n    out[9] = 0;\n    out[10] = 1;\n    out[11] = 0;\n    out[12] = 0;\n    out[13] = 0;\n    out[14] = 0;\n    out[15] = 1;\n    return out;\n};\n},{}],250:[function(_dereq_,module,exports){\nmodule.exports = determinant;\n\n/**\n * Calculates the determinant of a mat4\n *\n * @param {mat4} a the source matrix\n * @returns {Number} determinant of a\n */\nfunction determinant(a) {\n    var a00 = a[0], a01 = a[1], a02 = a[2], a03 = a[3],\n        a10 = a[4], a11 = a[5], a12 = a[6], a13 = a[7],\n        a20 = a[8], a21 = a[9], a22 = a[10], a23 = a[11],\n        a30 = a[12], a31 = a[13], a32 = a[14], a33 = a[15],\n\n        b00 = a00 * a11 - a01 * a10,\n        b01 = a00 * a12 - a02 * a10,\n        b02 = a00 * a13 - a03 * a10,\n        b03 = a01 * a12 - a02 * a11,\n        b04 = a01 * a13 - a03 * a11,\n        b05 = a02 * a13 - a03 * a12,\n        b06 = a20 * a31 - a21 * a30,\n        b07 = a20 * a32 - a22 * a30,\n        b08 = a20 * a33 - a23 * a30,\n        b09 = a21 * a32 - a22 * a31,\n        b10 = a21 * a33 - a23 * a31,\n        b11 = a22 * a33 - a23 * a32;\n\n    // Calculate the determinant\n    return b00 * b11 - b01 * b10 + b02 * b09 + b03 * b08 - b04 * b07 + b05 * b06;\n};\n},{}],251:[function(_dereq_,module,exports){\nmodule.exports = fromQuat;\n\n/**\n * Creates a matrix from a quaternion rotation.\n *\n * @param {mat4} out mat4 receiving operation result\n * @param {quat4} q Rotation quaternion\n * @returns {mat4} out\n */\nfunction fromQuat(out, q) {\n    var x = q[0], y = q[1], z = q[2], w = q[3],\n        x2 = x + x,\n        y2 = y + y,\n        z2 = z + z,\n\n        xx = x * x2,\n        yx = y * x2,\n        yy = y * y2,\n        zx = z * x2,\n        zy = z * y2,\n        zz = z * z2,\n        wx = w * x2,\n        wy = w * y2,\n        wz = w * z2;\n\n    out[0] = 1 - yy - zz;\n    out[1] = yx + wz;\n    out[2] = zx - wy;\n    out[3] = 0;\n\n    out[4] = yx - wz;\n    out[5] = 1 - xx - zz;\n    out[6] = zy + wx;\n    out[7] = 0;\n\n    out[8] = zx + wy;\n    out[9] = zy - wx;\n    out[10] = 1 - xx - yy;\n    out[11] = 0;\n\n    out[12] = 0;\n    out[13] = 0;\n    out[14] = 0;\n    out[15] = 1;\n\n    return out;\n};\n},{}],252:[function(_dereq_,module,exports){\nmodule.exports = fromRotationTranslation;\n\n/**\n * Creates a matrix from a quaternion rotation and vector translation\n * This is equivalent to (but much faster than):\n *\n *     mat4.identity(dest);\n *     mat4.translate(dest, vec);\n *     var quatMat = mat4.create();\n *     quat4.toMat4(quat, quatMat);\n *     mat4.multiply(dest, quatMat);\n *\n * @param {mat4} out mat4 receiving operation result\n * @param {quat4} q Rotation quaternion\n * @param {vec3} v Translation vector\n * @returns {mat4} out\n */\nfunction fromRotationTranslation(out, q, v) {\n    // Quaternion math\n    var x = q[0], y = q[1], z = q[2], w = q[3],\n        x2 = x + x,\n        y2 = y + y,\n        z2 = z + z,\n\n        xx = x * x2,\n        xy = x * y2,\n        xz = x * z2,\n        yy = y * y2,\n        yz = y * z2,\n        zz = z * z2,\n        wx = w * x2,\n        wy = w * y2,\n        wz = w * z2;\n\n    out[0] = 1 - (yy + zz);\n    out[1] = xy + wz;\n    out[2] = xz - wy;\n    out[3] = 0;\n    out[4] = xy - wz;\n    out[5] = 1 - (xx + zz);\n    out[6] = yz + wx;\n    out[7] = 0;\n    out[8] = xz + wy;\n    out[9] = yz - wx;\n    out[10] = 1 - (xx + yy);\n    out[11] = 0;\n    out[12] = v[0];\n    out[13] = v[1];\n    out[14] = v[2];\n    out[15] = 1;\n    \n    return out;\n};\n},{}],253:[function(_dereq_,module,exports){\nmodule.exports = identity;\n\n/**\n * Set a mat4 to the identity matrix\n *\n * @param {mat4} out the receiving matrix\n * @returns {mat4} out\n */\nfunction identity(out) {\n    out[0] = 1;\n    out[1] = 0;\n    out[2] = 0;\n    out[3] = 0;\n    out[4] = 0;\n    out[5] = 1;\n    out[6] = 0;\n    out[7] = 0;\n    out[8] = 0;\n    out[9] = 0;\n    out[10] = 1;\n    out[11] = 0;\n    out[12] = 0;\n    out[13] = 0;\n    out[14] = 0;\n    out[15] = 1;\n    return out;\n};\n},{}],254:[function(_dereq_,module,exports){\nmodule.exports = invert;\n\n/**\n * Inverts a mat4\n *\n * @param {mat4} out the receiving matrix\n * @param {mat4} a the source matrix\n * @returns {mat4} out\n */\nfunction invert(out, a) {\n    var a00 = a[0], a01 = a[1], a02 = a[2], a03 = a[3],\n        a10 = a[4], a11 = a[5], a12 = a[6], a13 = a[7],\n        a20 = a[8], a21 = a[9], a22 = a[10], a23 = a[11],\n        a30 = a[12], a31 = a[13], a32 = a[14], a33 = a[15],\n\n        b00 = a00 * a11 - a01 * a10,\n        b01 = a00 * a12 - a02 * a10,\n        b02 = a00 * a13 - a03 * a10,\n        b03 = a01 * a12 - a02 * a11,\n        b04 = a01 * a13 - a03 * a11,\n        b05 = a02 * a13 - a03 * a12,\n        b06 = a20 * a31 - a21 * a30,\n        b07 = a20 * a32 - a22 * a30,\n        b08 = a20 * a33 - a23 * a30,\n        b09 = a21 * a32 - a22 * a31,\n        b10 = a21 * a33 - a23 * a31,\n        b11 = a22 * a33 - a23 * a32,\n\n        // Calculate the determinant\n        det = b00 * b11 - b01 * b10 + b02 * b09 + b03 * b08 - b04 * b07 + b05 * b06;\n\n    if (!det) { \n        return null; \n    }\n    det = 1.0 / det;\n\n    out[0] = (a11 * b11 - a12 * b10 + a13 * b09) * det;\n    out[1] = (a02 * b10 - a01 * b11 - a03 * b09) * det;\n    out[2] = (a31 * b05 - a32 * b04 + a33 * b03) * det;\n    out[3] = (a22 * b04 - a21 * b05 - a23 * b03) * det;\n    out[4] = (a12 * b08 - a10 * b11 - a13 * b07) * det;\n    out[5] = (a00 * b11 - a02 * b08 + a03 * b07) * det;\n    out[6] = (a32 * b02 - a30 * b05 - a33 * b01) * det;\n    out[7] = (a20 * b05 - a22 * b02 + a23 * b01) * det;\n    out[8] = (a10 * b10 - a11 * b08 + a13 * b06) * det;\n    out[9] = (a01 * b08 - a00 * b10 - a03 * b06) * det;\n    out[10] = (a30 * b04 - a31 * b02 + a33 * b00) * det;\n    out[11] = (a21 * b02 - a20 * b04 - a23 * b00) * det;\n    out[12] = (a11 * b07 - a10 * b09 - a12 * b06) * det;\n    out[13] = (a00 * b09 - a01 * b07 + a02 * b06) * det;\n    out[14] = (a31 * b01 - a30 * b03 - a32 * b00) * det;\n    out[15] = (a20 * b03 - a21 * b01 + a22 * b00) * det;\n\n    return out;\n};\n},{}],255:[function(_dereq_,module,exports){\nvar identity = _dereq_('./identity');\n\nmodule.exports = lookAt;\n\n/**\n * Generates a look-at matrix with the given eye position, focal point, and up axis\n *\n * @param {mat4} out mat4 frustum matrix will be written into\n * @param {vec3} eye Position of the viewer\n * @param {vec3} center Point the viewer is looking at\n * @param {vec3} up vec3 pointing up\n * @returns {mat4} out\n */\nfunction lookAt(out, eye, center, up) {\n    var x0, x1, x2, y0, y1, y2, z0, z1, z2, len,\n        eyex = eye[0],\n        eyey = eye[1],\n        eyez = eye[2],\n        upx = up[0],\n        upy = up[1],\n        upz = up[2],\n        centerx = center[0],\n        centery = center[1],\n        centerz = center[2];\n\n    if (Math.abs(eyex - centerx) < 0.000001 &&\n        Math.abs(eyey - centery) < 0.000001 &&\n        Math.abs(eyez - centerz) < 0.000001) {\n        return identity(out);\n    }\n\n    z0 = eyex - centerx;\n    z1 = eyey - centery;\n    z2 = eyez - centerz;\n\n    len = 1 / Math.sqrt(z0 * z0 + z1 * z1 + z2 * z2);\n    z0 *= len;\n    z1 *= len;\n    z2 *= len;\n\n    x0 = upy * z2 - upz * z1;\n    x1 = upz * z0 - upx * z2;\n    x2 = upx * z1 - upy * z0;\n    len = Math.sqrt(x0 * x0 + x1 * x1 + x2 * x2);\n    if (!len) {\n        x0 = 0;\n        x1 = 0;\n        x2 = 0;\n    } else {\n        len = 1 / len;\n        x0 *= len;\n        x1 *= len;\n        x2 *= len;\n    }\n\n    y0 = z1 * x2 - z2 * x1;\n    y1 = z2 * x0 - z0 * x2;\n    y2 = z0 * x1 - z1 * x0;\n\n    len = Math.sqrt(y0 * y0 + y1 * y1 + y2 * y2);\n    if (!len) {\n        y0 = 0;\n        y1 = 0;\n        y2 = 0;\n    } else {\n        len = 1 / len;\n        y0 *= len;\n        y1 *= len;\n        y2 *= len;\n    }\n\n    out[0] = x0;\n    out[1] = y0;\n    out[2] = z0;\n    out[3] = 0;\n    out[4] = x1;\n    out[5] = y1;\n    out[6] = z1;\n    out[7] = 0;\n    out[8] = x2;\n    out[9] = y2;\n    out[10] = z2;\n    out[11] = 0;\n    out[12] = -(x0 * eyex + x1 * eyey + x2 * eyez);\n    out[13] = -(y0 * eyex + y1 * eyey + y2 * eyez);\n    out[14] = -(z0 * eyex + z1 * eyey + z2 * eyez);\n    out[15] = 1;\n\n    return out;\n};\n},{\"./identity\":253}],256:[function(_dereq_,module,exports){\nmodule.exports = multiply;\n\n/**\n * Multiplies two mat4's\n *\n * @param {mat4} out the receiving matrix\n * @param {mat4} a the first operand\n * @param {mat4} b the second operand\n * @returns {mat4} out\n */\nfunction multiply(out, a, b) {\n    var a00 = a[0], a01 = a[1], a02 = a[2], a03 = a[3],\n        a10 = a[4], a11 = a[5], a12 = a[6], a13 = a[7],\n        a20 = a[8], a21 = a[9], a22 = a[10], a23 = a[11],\n        a30 = a[12], a31 = a[13], a32 = a[14], a33 = a[15];\n\n    // Cache only the current line of the second matrix\n    var b0  = b[0], b1 = b[1], b2 = b[2], b3 = b[3];  \n    out[0] = b0*a00 + b1*a10 + b2*a20 + b3*a30;\n    out[1] = b0*a01 + b1*a11 + b2*a21 + b3*a31;\n    out[2] = b0*a02 + b1*a12 + b2*a22 + b3*a32;\n    out[3] = b0*a03 + b1*a13 + b2*a23 + b3*a33;\n\n    b0 = b[4]; b1 = b[5]; b2 = b[6]; b3 = b[7];\n    out[4] = b0*a00 + b1*a10 + b2*a20 + b3*a30;\n    out[5] = b0*a01 + b1*a11 + b2*a21 + b3*a31;\n    out[6] = b0*a02 + b1*a12 + b2*a22 + b3*a32;\n    out[7] = b0*a03 + b1*a13 + b2*a23 + b3*a33;\n\n    b0 = b[8]; b1 = b[9]; b2 = b[10]; b3 = b[11];\n    out[8] = b0*a00 + b1*a10 + b2*a20 + b3*a30;\n    out[9] = b0*a01 + b1*a11 + b2*a21 + b3*a31;\n    out[10] = b0*a02 + b1*a12 + b2*a22 + b3*a32;\n    out[11] = b0*a03 + b1*a13 + b2*a23 + b3*a33;\n\n    b0 = b[12]; b1 = b[13]; b2 = b[14]; b3 = b[15];\n    out[12] = b0*a00 + b1*a10 + b2*a20 + b3*a30;\n    out[13] = b0*a01 + b1*a11 + b2*a21 + b3*a31;\n    out[14] = b0*a02 + b1*a12 + b2*a22 + b3*a32;\n    out[15] = b0*a03 + b1*a13 + b2*a23 + b3*a33;\n    return out;\n};\n},{}],257:[function(_dereq_,module,exports){\nmodule.exports = perspective;\n\n/**\n * Generates a perspective projection matrix with the given bounds\n *\n * @param {mat4} out mat4 frustum matrix will be written into\n * @param {number} fovy Vertical field of view in radians\n * @param {number} aspect Aspect ratio. typically viewport width/height\n * @param {number} near Near bound of the frustum\n * @param {number} far Far bound of the frustum\n * @returns {mat4} out\n */\nfunction perspective(out, fovy, aspect, near, far) {\n    var f = 1.0 / Math.tan(fovy / 2),\n        nf = 1 / (near - far);\n    out[0] = f / aspect;\n    out[1] = 0;\n    out[2] = 0;\n    out[3] = 0;\n    out[4] = 0;\n    out[5] = f;\n    out[6] = 0;\n    out[7] = 0;\n    out[8] = 0;\n    out[9] = 0;\n    out[10] = (far + near) * nf;\n    out[11] = -1;\n    out[12] = 0;\n    out[13] = 0;\n    out[14] = (2 * far * near) * nf;\n    out[15] = 0;\n    return out;\n};\n},{}],258:[function(_dereq_,module,exports){\nmodule.exports = rotate;\n\n/**\n * Rotates a mat4 by the given angle\n *\n * @param {mat4} out the receiving matrix\n * @param {mat4} a the matrix to rotate\n * @param {Number} rad the angle to rotate the matrix by\n * @param {vec3} axis the axis to rotate around\n * @returns {mat4} out\n */\nfunction rotate(out, a, rad, axis) {\n    var x = axis[0], y = axis[1], z = axis[2],\n        len = Math.sqrt(x * x + y * y + z * z),\n        s, c, t,\n        a00, a01, a02, a03,\n        a10, a11, a12, a13,\n        a20, a21, a22, a23,\n        b00, b01, b02,\n        b10, b11, b12,\n        b20, b21, b22;\n\n    if (Math.abs(len) < 0.000001) { return null; }\n    \n    len = 1 / len;\n    x *= len;\n    y *= len;\n    z *= len;\n\n    s = Math.sin(rad);\n    c = Math.cos(rad);\n    t = 1 - c;\n\n    a00 = a[0]; a01 = a[1]; a02 = a[2]; a03 = a[3];\n    a10 = a[4]; a11 = a[5]; a12 = a[6]; a13 = a[7];\n    a20 = a[8]; a21 = a[9]; a22 = a[10]; a23 = a[11];\n\n    // Construct the elements of the rotation matrix\n    b00 = x * x * t + c; b01 = y * x * t + z * s; b02 = z * x * t - y * s;\n    b10 = x * y * t - z * s; b11 = y * y * t + c; b12 = z * y * t + x * s;\n    b20 = x * z * t + y * s; b21 = y * z * t - x * s; b22 = z * z * t + c;\n\n    // Perform rotation-specific matrix multiplication\n    out[0] = a00 * b00 + a10 * b01 + a20 * b02;\n    out[1] = a01 * b00 + a11 * b01 + a21 * b02;\n    out[2] = a02 * b00 + a12 * b01 + a22 * b02;\n    out[3] = a03 * b00 + a13 * b01 + a23 * b02;\n    out[4] = a00 * b10 + a10 * b11 + a20 * b12;\n    out[5] = a01 * b10 + a11 * b11 + a21 * b12;\n    out[6] = a02 * b10 + a12 * b11 + a22 * b12;\n    out[7] = a03 * b10 + a13 * b11 + a23 * b12;\n    out[8] = a00 * b20 + a10 * b21 + a20 * b22;\n    out[9] = a01 * b20 + a11 * b21 + a21 * b22;\n    out[10] = a02 * b20 + a12 * b21 + a22 * b22;\n    out[11] = a03 * b20 + a13 * b21 + a23 * b22;\n\n    if (a !== out) { // If the source and destination differ, copy the unchanged last row\n        out[12] = a[12];\n        out[13] = a[13];\n        out[14] = a[14];\n        out[15] = a[15];\n    }\n    return out;\n};\n},{}],259:[function(_dereq_,module,exports){\nmodule.exports = rotateX;\n\n/**\n * Rotates a matrix by the given angle around the X axis\n *\n * @param {mat4} out the receiving matrix\n * @param {mat4} a the matrix to rotate\n * @param {Number} rad the angle to rotate the matrix by\n * @returns {mat4} out\n */\nfunction rotateX(out, a, rad) {\n    var s = Math.sin(rad),\n        c = Math.cos(rad),\n        a10 = a[4],\n        a11 = a[5],\n        a12 = a[6],\n        a13 = a[7],\n        a20 = a[8],\n        a21 = a[9],\n        a22 = a[10],\n        a23 = a[11];\n\n    if (a !== out) { // If the source and destination differ, copy the unchanged rows\n        out[0]  = a[0];\n        out[1]  = a[1];\n        out[2]  = a[2];\n        out[3]  = a[3];\n        out[12] = a[12];\n        out[13] = a[13];\n        out[14] = a[14];\n        out[15] = a[15];\n    }\n\n    // Perform axis-specific matrix multiplication\n    out[4] = a10 * c + a20 * s;\n    out[5] = a11 * c + a21 * s;\n    out[6] = a12 * c + a22 * s;\n    out[7] = a13 * c + a23 * s;\n    out[8] = a20 * c - a10 * s;\n    out[9] = a21 * c - a11 * s;\n    out[10] = a22 * c - a12 * s;\n    out[11] = a23 * c - a13 * s;\n    return out;\n};\n},{}],260:[function(_dereq_,module,exports){\nmodule.exports = rotateY;\n\n/**\n * Rotates a matrix by the given angle around the Y axis\n *\n * @param {mat4} out the receiving matrix\n * @param {mat4} a the matrix to rotate\n * @param {Number} rad the angle to rotate the matrix by\n * @returns {mat4} out\n */\nfunction rotateY(out, a, rad) {\n    var s = Math.sin(rad),\n        c = Math.cos(rad),\n        a00 = a[0],\n        a01 = a[1],\n        a02 = a[2],\n        a03 = a[3],\n        a20 = a[8],\n        a21 = a[9],\n        a22 = a[10],\n        a23 = a[11];\n\n    if (a !== out) { // If the source and destination differ, copy the unchanged rows\n        out[4]  = a[4];\n        out[5]  = a[5];\n        out[6]  = a[6];\n        out[7]  = a[7];\n        out[12] = a[12];\n        out[13] = a[13];\n        out[14] = a[14];\n        out[15] = a[15];\n    }\n\n    // Perform axis-specific matrix multiplication\n    out[0] = a00 * c - a20 * s;\n    out[1] = a01 * c - a21 * s;\n    out[2] = a02 * c - a22 * s;\n    out[3] = a03 * c - a23 * s;\n    out[8] = a00 * s + a20 * c;\n    out[9] = a01 * s + a21 * c;\n    out[10] = a02 * s + a22 * c;\n    out[11] = a03 * s + a23 * c;\n    return out;\n};\n},{}],261:[function(_dereq_,module,exports){\nmodule.exports = rotateZ;\n\n/**\n * Rotates a matrix by the given angle around the Z axis\n *\n * @param {mat4} out the receiving matrix\n * @param {mat4} a the matrix to rotate\n * @param {Number} rad the angle to rotate the matrix by\n * @returns {mat4} out\n */\nfunction rotateZ(out, a, rad) {\n    var s = Math.sin(rad),\n        c = Math.cos(rad),\n        a00 = a[0],\n        a01 = a[1],\n        a02 = a[2],\n        a03 = a[3],\n        a10 = a[4],\n        a11 = a[5],\n        a12 = a[6],\n        a13 = a[7];\n\n    if (a !== out) { // If the source and destination differ, copy the unchanged last row\n        out[8]  = a[8];\n        out[9]  = a[9];\n        out[10] = a[10];\n        out[11] = a[11];\n        out[12] = a[12];\n        out[13] = a[13];\n        out[14] = a[14];\n        out[15] = a[15];\n    }\n\n    // Perform axis-specific matrix multiplication\n    out[0] = a00 * c + a10 * s;\n    out[1] = a01 * c + a11 * s;\n    out[2] = a02 * c + a12 * s;\n    out[3] = a03 * c + a13 * s;\n    out[4] = a10 * c - a00 * s;\n    out[5] = a11 * c - a01 * s;\n    out[6] = a12 * c - a02 * s;\n    out[7] = a13 * c - a03 * s;\n    return out;\n};\n},{}],262:[function(_dereq_,module,exports){\nmodule.exports = scale;\n\n/**\n * Scales the mat4 by the dimensions in the given vec3\n *\n * @param {mat4} out the receiving matrix\n * @param {mat4} a the matrix to scale\n * @param {vec3} v the vec3 to scale the matrix by\n * @returns {mat4} out\n **/\nfunction scale(out, a, v) {\n    var x = v[0], y = v[1], z = v[2];\n\n    out[0] = a[0] * x;\n    out[1] = a[1] * x;\n    out[2] = a[2] * x;\n    out[3] = a[3] * x;\n    out[4] = a[4] * y;\n    out[5] = a[5] * y;\n    out[6] = a[6] * y;\n    out[7] = a[7] * y;\n    out[8] = a[8] * z;\n    out[9] = a[9] * z;\n    out[10] = a[10] * z;\n    out[11] = a[11] * z;\n    out[12] = a[12];\n    out[13] = a[13];\n    out[14] = a[14];\n    out[15] = a[15];\n    return out;\n};\n},{}],263:[function(_dereq_,module,exports){\nmodule.exports = translate;\n\n/**\n * Translate a mat4 by the given vector\n *\n * @param {mat4} out the receiving matrix\n * @param {mat4} a the matrix to translate\n * @param {vec3} v vector to translate by\n * @returns {mat4} out\n */\nfunction translate(out, a, v) {\n    var x = v[0], y = v[1], z = v[2],\n        a00, a01, a02, a03,\n        a10, a11, a12, a13,\n        a20, a21, a22, a23;\n\n    if (a === out) {\n        out[12] = a[0] * x + a[4] * y + a[8] * z + a[12];\n        out[13] = a[1] * x + a[5] * y + a[9] * z + a[13];\n        out[14] = a[2] * x + a[6] * y + a[10] * z + a[14];\n        out[15] = a[3] * x + a[7] * y + a[11] * z + a[15];\n    } else {\n        a00 = a[0]; a01 = a[1]; a02 = a[2]; a03 = a[3];\n        a10 = a[4]; a11 = a[5]; a12 = a[6]; a13 = a[7];\n        a20 = a[8]; a21 = a[9]; a22 = a[10]; a23 = a[11];\n\n        out[0] = a00; out[1] = a01; out[2] = a02; out[3] = a03;\n        out[4] = a10; out[5] = a11; out[6] = a12; out[7] = a13;\n        out[8] = a20; out[9] = a21; out[10] = a22; out[11] = a23;\n\n        out[12] = a00 * x + a10 * y + a20 * z + a[12];\n        out[13] = a01 * x + a11 * y + a21 * z + a[13];\n        out[14] = a02 * x + a12 * y + a22 * z + a[14];\n        out[15] = a03 * x + a13 * y + a23 * z + a[15];\n    }\n\n    return out;\n};\n},{}],264:[function(_dereq_,module,exports){\nmodule.exports = transpose;\n\n/**\n * Transpose the values of a mat4\n *\n * @param {mat4} out the receiving matrix\n * @param {mat4} a the source matrix\n * @returns {mat4} out\n */\nfunction transpose(out, a) {\n    // If we are transposing ourselves we can skip a few steps but have to cache some values\n    if (out === a) {\n        var a01 = a[1], a02 = a[2], a03 = a[3],\n            a12 = a[6], a13 = a[7],\n            a23 = a[11];\n\n        out[1] = a[4];\n        out[2] = a[8];\n        out[3] = a[12];\n        out[4] = a01;\n        out[6] = a[9];\n        out[7] = a[13];\n        out[8] = a02;\n        out[9] = a12;\n        out[11] = a[14];\n        out[12] = a03;\n        out[13] = a13;\n        out[14] = a23;\n    } else {\n        out[0] = a[0];\n        out[1] = a[4];\n        out[2] = a[8];\n        out[3] = a[12];\n        out[4] = a[1];\n        out[5] = a[5];\n        out[6] = a[9];\n        out[7] = a[13];\n        out[8] = a[2];\n        out[9] = a[6];\n        out[10] = a[10];\n        out[11] = a[14];\n        out[12] = a[3];\n        out[13] = a[7];\n        out[14] = a[11];\n        out[15] = a[15];\n    }\n    \n    return out;\n};\n},{}],265:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = invert\n\nvar invert2 = _dereq_('gl-mat2/invert')\nvar invert3 = _dereq_('gl-mat3/invert')\nvar invert4 = _dereq_('gl-mat4/invert')\n\nfunction invert(out, M) {\n  switch(M.length) {\n    case 0:\n    break\n    case 1:\n      out[0] = 1.0 / M[0]\n    break\n    case 4:\n      invert2(out, M)\n    break\n    case 9:\n      invert3(out, M)\n    break\n    case 16:\n      invert4(out, M)\n    break\n    default:\n      throw new Error('currently supports matrices up to 4x4')\n    break\n  }\n  return out\n}\n},{\"gl-mat2/invert\":246,\"gl-mat3/invert\":247,\"gl-mat4/invert\":254}],266:[function(_dereq_,module,exports){\narguments[4][232][0].apply(exports,arguments)\n},{\"barycentric\":61,\"dup\":232,\"polytope-closest-point/lib/closest_point_2d.js\":464}],267:[function(_dereq_,module,exports){\nvar glslify       = _dereq_('glslify')\r\n\r\nvar triVertSrc = glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec4 m_position  = model * vec4(position, 1.0);\\n  vec4 t_position  = view * m_position;\\n  gl_Position      = projection * t_position;\\n  f_color          = color;\\n  f_normal         = normal;\\n  f_data           = position;\\n  f_eyeDirection   = eyePosition   - position;\\n  f_lightDirection = lightPosition - position;\\n  f_uv             = uv;\\n}\\n\"])\r\nvar triFragSrc = glslify([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nvec3 normals(vec3 pos) {\\n  vec3 fdx = dFdx(pos);\\n  vec3 fdy = dFdy(pos);\\n  return normalize(cross(fdx, fdy));\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  vec3 normal = normals(f_data);\\n\\n  if (dot(N, normal) < 0.0) {\\n    N = -N;\\n  }\\n\\n  float specular = cookTorranceSpecular(L, V, N, roughness, fresnel);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"])\r\nvar edgeVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"])\r\nvar edgeFragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"])\r\nvar pointVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"])\r\nvar pointFragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"])\r\nvar pickVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"])\r\nvar pickFragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"])\r\nvar pickPointVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"])\r\nvar contourVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"])\r\nvar contourFragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n\"])\r\n\r\nexports.meshShader = {\r\n  vertex:   triVertSrc,\r\n  fragment: triFragSrc,\r\n  attributes: [\r\n    {name: 'position', type: 'vec3'},\r\n    {name: 'normal', type: 'vec3'},\r\n    {name: 'color', type: 'vec4'},\r\n    {name: 'uv', type: 'vec2'}\r\n  ]\r\n}\r\nexports.wireShader = {\r\n  vertex:   edgeVertSrc,\r\n  fragment: edgeFragSrc,\r\n  attributes: [\r\n    {name: 'position', type: 'vec3'},\r\n    {name: 'color', type: 'vec4'},\r\n    {name: 'uv', type: 'vec2'}\r\n  ]\r\n}\r\nexports.pointShader = {\r\n  vertex:   pointVertSrc,\r\n  fragment: pointFragSrc,\r\n  attributes: [\r\n    {name: 'position', type: 'vec3'},\r\n    {name: 'color', type: 'vec4'},\r\n    {name: 'uv', type: 'vec2'},\r\n    {name: 'pointSize', type: 'float'}\r\n  ]\r\n}\r\nexports.pickShader = {\r\n  vertex:   pickVertSrc,\r\n  fragment: pickFragSrc,\r\n  attributes: [\r\n    {name: 'position', type: 'vec3'},\r\n    {name: 'id', type: 'vec4'}\r\n  ]\r\n}\r\nexports.pointPickShader = {\r\n  vertex:   pickPointVertSrc,\r\n  fragment: pickFragSrc,\r\n  attributes: [\r\n    {name: 'position', type: 'vec3'},\r\n    {name: 'pointSize', type: 'float'},\r\n    {name: 'id', type: 'vec4'}\r\n  ]\r\n}\r\nexports.contourShader = {\r\n  vertex:   contourVertSrc,\r\n  fragment: contourFragSrc,\r\n  attributes: [\r\n    {name: 'position', type: 'vec3'}\r\n  ]\r\n}\r\n\n},{\"glslify\":392}],268:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar DEFAULT_VERTEX_NORMALS_EPSILON = 1e-6; // may be too large if triangles are very small\r\nvar DEFAULT_FACE_NORMALS_EPSILON = 1e-6;\r\n\r\nvar createShader  = _dereq_('gl-shader')\r\nvar createBuffer  = _dereq_('gl-buffer')\r\nvar createVAO     = _dereq_('gl-vao')\r\nvar createTexture = _dereq_('gl-texture2d')\r\nvar normals       = _dereq_('normals')\r\nvar multiply      = _dereq_('gl-mat4/multiply')\r\nvar invert        = _dereq_('gl-mat4/invert')\r\nvar ndarray       = _dereq_('ndarray')\r\nvar colormap      = _dereq_('colormap')\r\nvar getContour    = _dereq_('simplicial-complex-contour')\r\nvar pool          = _dereq_('typedarray-pool')\r\nvar shaders       = _dereq_('./lib/shaders')\r\nvar closestPoint  = _dereq_('./lib/closest-point')\r\n\r\nvar meshShader    = shaders.meshShader\r\nvar wireShader    = shaders.wireShader\r\nvar pointShader   = shaders.pointShader\r\nvar pickShader    = shaders.pickShader\r\nvar pointPickShader = shaders.pointPickShader\r\nvar contourShader = shaders.contourShader\r\n\r\nvar identityMatrix = [\r\n  1,0,0,0,\r\n  0,1,0,0,\r\n  0,0,1,0,\r\n  0,0,0,1]\r\n\r\n\r\nfunction SimplicialMesh(gl\r\n  , texture\r\n  , triShader\r\n  , lineShader\r\n  , pointShader\r\n  , pickShader\r\n  , pointPickShader\r\n  , contourShader\r\n  , trianglePositions\r\n  , triangleIds\r\n  , triangleColors\r\n  , triangleUVs\r\n  , triangleNormals\r\n  , triangleVAO\r\n  , edgePositions\r\n  , edgeIds\r\n  , edgeColors\r\n  , edgeUVs\r\n  , edgeVAO\r\n  , pointPositions\r\n  , pointIds\r\n  , pointColors\r\n  , pointUVs\r\n  , pointSizes\r\n  , pointVAO\r\n  , contourPositions\r\n  , contourVAO) {\r\n\r\n  this.gl                = gl\r\n  this.cells             = []\r\n  this.positions         = []\r\n  this.intensity         = []\r\n  this.texture           = texture\r\n  this.dirty             = true\r\n\r\n  this.triShader         = triShader\r\n  this.lineShader        = lineShader\r\n  this.pointShader       = pointShader\r\n  this.pickShader        = pickShader\r\n  this.pointPickShader   = pointPickShader\r\n  this.contourShader     = contourShader\r\n\r\n  this.trianglePositions = trianglePositions\r\n  this.triangleColors    = triangleColors\r\n  this.triangleNormals   = triangleNormals\r\n  this.triangleUVs       = triangleUVs\r\n  this.triangleIds       = triangleIds\r\n  this.triangleVAO       = triangleVAO\r\n  this.triangleCount     = 0\r\n\r\n  this.lineWidth         = 1\r\n  this.edgePositions     = edgePositions\r\n  this.edgeColors        = edgeColors\r\n  this.edgeUVs           = edgeUVs\r\n  this.edgeIds           = edgeIds\r\n  this.edgeVAO           = edgeVAO\r\n  this.edgeCount         = 0\r\n\r\n  this.pointPositions    = pointPositions\r\n  this.pointColors       = pointColors\r\n  this.pointUVs          = pointUVs\r\n  this.pointSizes        = pointSizes\r\n  this.pointIds          = pointIds\r\n  this.pointVAO          = pointVAO\r\n  this.pointCount        = 0\r\n\r\n  this.contourLineWidth  = 1\r\n  this.contourPositions  = contourPositions\r\n  this.contourVAO        = contourVAO\r\n  this.contourCount      = 0\r\n  this.contourColor      = [0,0,0]\r\n  this.contourEnable     = true\r\n\r\n  this.pickId            = 1\r\n  this.bounds            = [\r\n    [ Infinity, Infinity, Infinity],\r\n    [-Infinity,-Infinity,-Infinity] ]\r\n  this.clipBounds        = [\r\n    [-Infinity,-Infinity,-Infinity],\r\n    [ Infinity, Infinity, Infinity] ]\r\n\r\n  this.lightPosition = [1e5, 1e5, 0]\r\n  this.ambientLight  = 0.8\r\n  this.diffuseLight  = 0.8\r\n  this.specularLight = 2.0\r\n  this.roughness     = 0.5\r\n  this.fresnel       = 1.5\r\n\r\n  this.opacity       = 1.0\r\n\r\n  this._model       = identityMatrix\r\n  this._view        = identityMatrix\r\n  this._projection  = identityMatrix\r\n  this._resolution  = [1,1]\r\n}\r\n\r\nvar proto = SimplicialMesh.prototype\r\n\r\nproto.isOpaque = function() {\r\n  return this.opacity >= 1\r\n}\r\n\r\nproto.isTransparent = function() {\r\n  return this.opacity < 1\r\n}\r\n\r\nproto.pickSlots = 1\r\n\r\nproto.setPickBase = function(id) {\r\n  this.pickId = id\r\n}\r\n\r\nfunction genColormap(param) {\r\n  var colors = colormap({\r\n      colormap: param\r\n    , nshades:  256\r\n    , format:  'rgba'\r\n  })\r\n\r\n  var result = new Uint8Array(256*4)\r\n  for(var i=0; i<256; ++i) {\r\n    var c = colors[i]\r\n    for(var j=0; j<3; ++j) {\r\n      result[4*i+j] = c[j]\r\n    }\r\n    result[4*i+3] = c[3]*255\r\n  }\r\n\r\n  return ndarray(result, [256,256,4], [4,0,1])\r\n}\r\n\r\nfunction unpackIntensity(cells, numVerts, cellIntensity) {\r\n  var result = new Array(numVerts)\r\n  for(var i=0; i<numVerts; ++i) {\r\n    result[i] = 0\r\n  }\r\n  var numCells = cells.length\r\n  for(var i=0; i<numCells; ++i) {\r\n    var c = cells[i]\r\n    for(var j=0; j<c.length; ++j) {\r\n      result[c[j]] = cellIntensity[i]\r\n    }\r\n  }\r\n  return result\r\n}\r\n\r\nfunction takeZComponent(array) {\r\n  var n = array.length\r\n  var result = new Array(n)\r\n  for(var i=0; i<n; ++i) {\r\n    result[i] = array[i][2]\r\n  }\r\n  return result\r\n}\r\n\r\nproto.highlight = function(selection) {\r\n  if(!selection || !this.contourEnable) {\r\n    this.contourCount = 0\r\n    return\r\n  }\r\n  var level = getContour(this.cells, this.intensity, selection.intensity)\r\n  var cells         = level.cells\r\n  var vertexIds     = level.vertexIds\r\n  var vertexWeights = level.vertexWeights\r\n  var numCells = cells.length\r\n  var result = pool.mallocFloat32(2 * 3 * numCells)\r\n  var ptr = 0\r\n  for(var i=0; i<numCells; ++i) {\r\n    var c = cells[i]\r\n    for(var j=0; j<2; ++j) {\r\n      var v = c[0]\r\n      if(c.length === 2) {\r\n        v = c[j]\r\n      }\r\n      var a = vertexIds[v][0]\r\n      var b = vertexIds[v][1]\r\n      var w = vertexWeights[v]\r\n      var wi = 1.0 - w\r\n      var pa = this.positions[a]\r\n      var pb = this.positions[b]\r\n      for(var k=0; k<3; ++k) {\r\n        result[ptr++] = w * pa[k] + wi * pb[k]\r\n      }\r\n    }\r\n  }\r\n  this.contourCount = (ptr / 3)|0\r\n  this.contourPositions.update(result.subarray(0, ptr))\r\n  pool.free(result)\r\n}\r\n\r\nproto.update = function(params) {\r\n  params = params || {}\r\n  var gl = this.gl\r\n\r\n  this.dirty = true\r\n\r\n  if('contourEnable' in params) {\r\n    this.contourEnable = params.contourEnable\r\n  }\r\n  if('contourColor' in params) {\r\n    this.contourColor = params.contourColor\r\n  }\r\n  if('lineWidth' in params) {\r\n    this.lineWidth = params.lineWidth\r\n  }\r\n  if('lightPosition' in params) {\r\n    this.lightPosition = params.lightPosition\r\n  }\r\n  if('opacity' in params) {\r\n    this.opacity = params.opacity\r\n  }\r\n  if('ambient' in params) {\r\n    this.ambientLight  = params.ambient\r\n  }\r\n  if('diffuse' in params) {\r\n    this.diffuseLight = params.diffuse\r\n  }\r\n  if('specular' in params) {\r\n    this.specularLight = params.specular\r\n  }\r\n  if('roughness' in params) {\r\n    this.roughness = params.roughness\r\n  }\r\n  if('fresnel' in params) {\r\n    this.fresnel = params.fresnel\r\n  }\r\n\r\n  if(params.texture) {\r\n    this.texture.dispose()\r\n    this.texture = createTexture(gl, params.texture)\r\n  } else if (params.colormap) {\r\n    this.texture.shape = [256,256]\r\n    this.texture.minFilter = gl.LINEAR_MIPMAP_LINEAR\r\n    this.texture.magFilter = gl.LINEAR\r\n    this.texture.setPixels(genColormap(params.colormap))\r\n    this.texture.generateMipmap()\r\n  }\r\n\r\n  var cells = params.cells\r\n  var positions = params.positions\r\n\r\n  if(!positions || !cells) {\r\n    return\r\n  }\r\n\r\n  var tPos = []\r\n  var tCol = []\r\n  var tNor = []\r\n  var tUVs = []\r\n  var tIds = []\r\n\r\n  var ePos = []\r\n  var eCol = []\r\n  var eUVs = []\r\n  var eIds = []\r\n\r\n  var pPos = []\r\n  var pCol = []\r\n  var pUVs = []\r\n  var pSiz = []\r\n  var pIds = []\r\n\r\n  //Save geometry data for picking calculations\r\n  this.cells     = cells\r\n  this.positions = positions\r\n\r\n  //Compute normals\r\n  var vertexNormals = params.vertexNormals\r\n  var cellNormals   = params.cellNormals\r\n  var vertexNormalsEpsilon = params.vertexNormalsEpsilon === void(0) ? DEFAULT_VERTEX_NORMALS_EPSILON : params.vertexNormalsEpsilon\r\n  var faceNormalsEpsilon = params.faceNormalsEpsilon === void(0) ? DEFAULT_FACE_NORMALS_EPSILON : params.faceNormalsEpsilon\r\n  if(params.useFacetNormals && !cellNormals) {\r\n    cellNormals = normals.faceNormals(cells, positions, faceNormalsEpsilon)\r\n  }\r\n  if(!cellNormals && !vertexNormals) {\r\n    vertexNormals = normals.vertexNormals(cells, positions, vertexNormalsEpsilon)\r\n  }\r\n\r\n  //Compute colors\r\n  var vertexColors    = params.vertexColors\r\n  var cellColors      = params.cellColors\r\n  var meshColor       = params.meshColor || [1,1,1,1]\r\n\r\n  //UVs\r\n  var vertexUVs       = params.vertexUVs\r\n  var vertexIntensity = params.vertexIntensity\r\n  var cellUVs         = params.cellUVs\r\n  var cellIntensity   = params.cellIntensity\r\n\r\n  var intensityLo     = Infinity\r\n  var intensityHi     = -Infinity\r\n  if(!vertexUVs && !cellUVs) {\r\n    if(vertexIntensity) {\r\n      if(params.vertexIntensityBounds) {\r\n        intensityLo = +params.vertexIntensityBounds[0]\r\n        intensityHi = +params.vertexIntensityBounds[1]\r\n      } else {\r\n        for(var i=0; i<vertexIntensity.length; ++i) {\r\n          var f = vertexIntensity[i]\r\n          intensityLo = Math.min(intensityLo, f)\r\n          intensityHi = Math.max(intensityHi, f)\r\n        }\r\n      }\r\n    } else if(cellIntensity) {\r\n      for(var i=0; i<cellIntensity.length; ++i) {\r\n        var f = cellIntensity[i]\r\n        intensityLo = Math.min(intensityLo, f)\r\n        intensityHi = Math.max(intensityHi, f)\r\n      }\r\n    } else {\r\n      for(var i=0; i<positions.length; ++i) {\r\n        var f = positions[i][2]\r\n        intensityLo = Math.min(intensityLo, f)\r\n        intensityHi = Math.max(intensityHi, f)\r\n      }\r\n    }\r\n  }\r\n\r\n  if(vertexIntensity) {\r\n    this.intensity = vertexIntensity\r\n  } else if(cellIntensity) {\r\n    this.intensity = unpackIntensity(cells, positions.length, cellIntensity)\r\n  } else {\r\n    this.intensity = takeZComponent(positions)\r\n  }\r\n\r\n  //Point size\r\n  var pointSizes      = params.pointSizes\r\n  var meshPointSize   = params.pointSize || 1.0\r\n\r\n  //Update bounds\r\n  this.bounds       = [[Infinity,Infinity,Infinity], [-Infinity,-Infinity,-Infinity]]\r\n  for(var i=0; i<positions.length; ++i) {\r\n    var p = positions[i]\r\n    for(var j=0; j<3; ++j) {\r\n      if(isNaN(p[j]) || !isFinite(p[j])) {\r\n        continue\r\n      }\r\n      this.bounds[0][j] = Math.min(this.bounds[0][j], p[j])\r\n      this.bounds[1][j] = Math.max(this.bounds[1][j], p[j])\r\n    }\r\n  }\r\n\r\n  //Pack cells into buffers\r\n  var triangleCount = 0\r\n  var edgeCount = 0\r\n  var pointCount = 0\r\n\r\nfill_loop:\r\n  for(var i=0; i<cells.length; ++i) {\r\n    var cell = cells[i]\r\n    switch(cell.length) {\r\n      case 1:\r\n\r\n        var v = cell[0]\r\n        var p = positions[v]\r\n\r\n        //Check NaNs\r\n        for(var j=0; j<3; ++j) {\r\n          if(isNaN(p[j]) || !isFinite(p[j])) {\r\n            continue fill_loop\r\n          }\r\n        }\r\n\r\n        pPos.push(p[0], p[1], p[2])\r\n\r\n        var c\r\n        if(vertexColors) {\r\n          c = vertexColors[v]\r\n        } else if(cellColors) {\r\n          c = cellColors[i]\r\n        } else {\r\n          c = meshColor\r\n        }\r\n        if(c.length === 3) {\r\n          pCol.push(c[0], c[1], c[2], 1)\r\n        } else {\r\n          pCol.push(c[0], c[1], c[2], c[3])\r\n        }\r\n\r\n        var uv\r\n        if(vertexUVs) {\r\n          uv = vertexUVs[v]\r\n        } else if(vertexIntensity) {\r\n          uv = [\r\n            (vertexIntensity[v] - intensityLo) /\r\n            (intensityHi - intensityLo), 0]\r\n        } else if(cellUVs) {\r\n          uv = cellUVs[i]\r\n        } else if(cellIntensity) {\r\n          uv = [\r\n            (cellIntensity[i] - intensityLo) /\r\n            (intensityHi - intensityLo), 0]\r\n        } else {\r\n          uv = [\r\n            (p[2] - intensityLo) /\r\n            (intensityHi - intensityLo), 0]\r\n        }\r\n        pUVs.push(uv[0], uv[1])\r\n\r\n        if(pointSizes) {\r\n          pSiz.push(pointSizes[v])\r\n        } else {\r\n          pSiz.push(meshPointSize)\r\n        }\r\n\r\n        pIds.push(i)\r\n\r\n        pointCount += 1\r\n      break\r\n\r\n      case 2:\r\n\r\n        //Check NaNs\r\n        for(var j=0; j<2; ++j) {\r\n          var v = cell[j]\r\n          var p = positions[v]\r\n          for(var k=0; k<3; ++k) {\r\n            if(isNaN(p[k]) || !isFinite(p[k])) {\r\n              continue fill_loop\r\n            }\r\n          }\r\n        }\r\n\r\n        for(var j=0; j<2; ++j) {\r\n          var v = cell[j]\r\n          var p = positions[v]\r\n\r\n          ePos.push(p[0], p[1], p[2])\r\n\r\n          var c\r\n          if(vertexColors) {\r\n            c = vertexColors[v]\r\n          } else if(cellColors) {\r\n            c = cellColors[i]\r\n          } else {\r\n            c = meshColor\r\n          }\r\n          if(c.length === 3) {\r\n            eCol.push(c[0], c[1], c[2], 1)\r\n          } else {\r\n            eCol.push(c[0], c[1], c[2], c[3])\r\n          }\r\n\r\n          var uv\r\n          if(vertexUVs) {\r\n            uv = vertexUVs[v]\r\n          } else if(vertexIntensity) {\r\n            uv = [\r\n              (vertexIntensity[v] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else if(cellUVs) {\r\n            uv = cellUVs[i]\r\n          } else if(cellIntensity) {\r\n            uv = [\r\n              (cellIntensity[i] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else {\r\n            uv = [\r\n              (p[2] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          }\r\n          eUVs.push(uv[0], uv[1])\r\n\r\n          eIds.push(i)\r\n        }\r\n        edgeCount += 1\r\n      break\r\n\r\n      case 3:\r\n        //Check NaNs\r\n        for(var j=0; j<3; ++j) {\r\n          var v = cell[j]\r\n          var p = positions[v]\r\n          for(var k=0; k<3; ++k) {\r\n            if(isNaN(p[k]) || !isFinite(p[k])) {\r\n              continue fill_loop\r\n            }\r\n          }\r\n        }\r\n\r\n        for(var j=0; j<3; ++j) {\r\n          var v = cell[j]\r\n\r\n          var p = positions[v]\r\n          tPos.push(p[0], p[1], p[2])\r\n\r\n          var c\r\n          if(vertexColors) {\r\n            c = vertexColors[v]\r\n          } else if(cellColors) {\r\n            c = cellColors[i]\r\n          } else {\r\n            c = meshColor\r\n          }\r\n          if(c.length === 3) {\r\n            tCol.push(c[0], c[1], c[2], 1)\r\n          } else {\r\n            tCol.push(c[0], c[1], c[2], c[3])\r\n          }\r\n\r\n          var uv\r\n          if(vertexUVs) {\r\n            uv = vertexUVs[v]\r\n          } else if(vertexIntensity) {\r\n            uv = [\r\n              (vertexIntensity[v] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else if(cellUVs) {\r\n            uv = cellUVs[i]\r\n          } else if(cellIntensity) {\r\n            uv = [\r\n              (cellIntensity[i] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else {\r\n            uv = [\r\n              (p[2] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          }\r\n          tUVs.push(uv[0], uv[1])\r\n\r\n          var q\r\n          if(vertexNormals) {\r\n            q = vertexNormals[v]\r\n          } else {\r\n            q = cellNormals[i]\r\n          }\r\n          tNor.push(q[0], q[1], q[2])\r\n\r\n          tIds.push(i)\r\n        }\r\n        triangleCount += 1\r\n      break\r\n\r\n      default:\r\n      break\r\n    }\r\n  }\r\n\r\n  this.pointCount     = pointCount\r\n  this.edgeCount      = edgeCount\r\n  this.triangleCount  = triangleCount\r\n\r\n  this.pointPositions.update(pPos)\r\n  this.pointColors.update(pCol)\r\n  this.pointUVs.update(pUVs)\r\n  this.pointSizes.update(pSiz)\r\n  this.pointIds.update(new Uint32Array(pIds))\r\n\r\n  this.edgePositions.update(ePos)\r\n  this.edgeColors.update(eCol)\r\n  this.edgeUVs.update(eUVs)\r\n  this.edgeIds.update(new Uint32Array(eIds))\r\n\r\n  this.trianglePositions.update(tPos)\r\n  this.triangleColors.update(tCol)\r\n  this.triangleUVs.update(tUVs)\r\n  this.triangleNormals.update(tNor)\r\n  this.triangleIds.update(new Uint32Array(tIds))\r\n}\r\n\r\nproto.drawTransparent = proto.draw = function(params) {\r\n  params = params || {}\r\n  var gl          = this.gl\r\n  var model       = params.model      || identityMatrix\r\n  var view        = params.view       || identityMatrix\r\n  var projection  = params.projection || identityMatrix\r\n\r\n  var clipBounds = [[-1e6,-1e6,-1e6],[1e6,1e6,1e6]]\r\n  for(var i=0; i<3; ++i) {\r\n    clipBounds[0][i] = Math.max(clipBounds[0][i], this.clipBounds[0][i])\r\n    clipBounds[1][i] = Math.min(clipBounds[1][i], this.clipBounds[1][i])\r\n  }\r\n\r\n  var uniforms = {\r\n    model:      model,\r\n    view:       view,\r\n    projection: projection,\r\n\r\n    clipBounds: clipBounds,\r\n\r\n    kambient:   this.ambientLight,\r\n    kdiffuse:   this.diffuseLight,\r\n    kspecular:  this.specularLight,\r\n    roughness:  this.roughness,\r\n    fresnel:    this.fresnel,\r\n\r\n    eyePosition:   [0,0,0],\r\n    lightPosition: [0,0,0],\r\n\r\n    opacity:  this.opacity,\r\n\r\n    contourColor: this.contourColor,\r\n\r\n    texture:    0\r\n  }\r\n\r\n  this.texture.bind(0)\r\n\r\n  var invCameraMatrix = new Array(16)\r\n  multiply(invCameraMatrix, uniforms.view, uniforms.model)\r\n  multiply(invCameraMatrix, uniforms.projection, invCameraMatrix)\r\n  invert(invCameraMatrix, invCameraMatrix)\r\n\r\n  for(var i=0; i<3; ++i) {\r\n    uniforms.eyePosition[i] = invCameraMatrix[12+i] / invCameraMatrix[15]\r\n  }\r\n\r\n  var w = invCameraMatrix[15]\r\n  for(var i=0; i<3; ++i) {\r\n    w += this.lightPosition[i] * invCameraMatrix[4*i+3]\r\n  }\r\n  for(var i=0; i<3; ++i) {\r\n    var s = invCameraMatrix[12+i]\r\n    for(var j=0; j<3; ++j) {\r\n      s += invCameraMatrix[4*j+i] * this.lightPosition[j]\r\n    }\r\n    uniforms.lightPosition[i] = s / w\r\n  }\r\n\r\n  if(this.triangleCount > 0) {\r\n    var shader = this.triShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.triangleVAO.bind()\r\n    gl.drawArrays(gl.TRIANGLES, 0, this.triangleCount*3)\r\n    this.triangleVAO.unbind()\r\n  }\r\n\r\n  if(this.edgeCount > 0 && this.lineWidth > 0) {\r\n    var shader = this.lineShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.edgeVAO.bind()\r\n    gl.lineWidth(this.lineWidth)\r\n    gl.drawArrays(gl.LINES, 0, this.edgeCount*2)\r\n    this.edgeVAO.unbind()\r\n  }\r\n\r\n  if(this.pointCount > 0) {\r\n    var shader = this.pointShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.pointVAO.bind()\r\n    gl.drawArrays(gl.POINTS, 0, this.pointCount)\r\n    this.pointVAO.unbind()\r\n  }\r\n\r\n  if(this.contourEnable && this.contourCount > 0 && this.contourLineWidth > 0) {\r\n    var shader = this.contourShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.contourVAO.bind()\r\n    gl.drawArrays(gl.LINES, 0, this.contourCount)\r\n    this.contourVAO.unbind()\r\n  }\r\n}\r\n\r\nproto.drawPick = function(params) {\r\n  params = params || {}\r\n\r\n  var gl         = this.gl\r\n\r\n  var model      = params.model      || identityMatrix\r\n  var view       = params.view       || identityMatrix\r\n  var projection = params.projection || identityMatrix\r\n\r\n  var clipBounds = [[-1e6,-1e6,-1e6],[1e6,1e6,1e6]]\r\n  for(var i=0; i<3; ++i) {\r\n    clipBounds[0][i] = Math.max(clipBounds[0][i], this.clipBounds[0][i])\r\n    clipBounds[1][i] = Math.min(clipBounds[1][i], this.clipBounds[1][i])\r\n  }\r\n\r\n  //Save camera parameters\r\n  this._model      = [].slice.call(model)\r\n  this._view       = [].slice.call(view)\r\n  this._projection = [].slice.call(projection)\r\n  this._resolution = [gl.drawingBufferWidth, gl.drawingBufferHeight]\r\n\r\n  var uniforms = {\r\n    model:      model,\r\n    view:       view,\r\n    projection: projection,\r\n    clipBounds: clipBounds,\r\n    pickId:     this.pickId / 255.0,\r\n  }\r\n\r\n  var shader = this.pickShader\r\n  shader.bind()\r\n  shader.uniforms = uniforms\r\n\r\n  if(this.triangleCount > 0) {\r\n    this.triangleVAO.bind()\r\n    gl.drawArrays(gl.TRIANGLES, 0, this.triangleCount*3)\r\n    this.triangleVAO.unbind()\r\n  }\r\n\r\n  if(this.edgeCount > 0) {\r\n    this.edgeVAO.bind()\r\n    gl.lineWidth(this.lineWidth)\r\n    gl.drawArrays(gl.LINES, 0, this.edgeCount*2)\r\n    this.edgeVAO.unbind()\r\n  }\r\n\r\n  if(this.pointCount > 0) {\r\n    var shader = this.pointPickShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.pointVAO.bind()\r\n    gl.drawArrays(gl.POINTS, 0, this.pointCount)\r\n    this.pointVAO.unbind()\r\n  }\r\n}\r\n\r\n\r\nproto.pick = function(pickData) {\r\n  if(!pickData) {\r\n    return null\r\n  }\r\n  if(pickData.id !== this.pickId) {\r\n    return null\r\n  }\r\n\r\n  var cellId    = pickData.value[0] + 256*pickData.value[1] + 65536*pickData.value[2]\r\n  var cell      = this.cells[cellId]\r\n  var positions = this.positions\r\n\r\n  var simplex   = new Array(cell.length)\r\n  for(var i=0; i<cell.length; ++i) {\r\n    simplex[i] = positions[cell[i]]\r\n  }\r\n\r\n  var data = closestPoint(\r\n    simplex,\r\n    [pickData.coord[0], this._resolution[1]-pickData.coord[1]],\r\n    this._model,\r\n    this._view,\r\n    this._projection,\r\n    this._resolution)\r\n\r\n  if(!data) {\r\n    return null\r\n  }\r\n\r\n  var weights = data[2]\r\n  var interpIntensity = 0.0\r\n  for(var i=0; i<cell.length; ++i) {\r\n    interpIntensity += weights[i] * this.intensity[cell[i]]\r\n  }\r\n\r\n  return {\r\n    position: data[1],\r\n    index:    cell[data[0]],\r\n    cell:     cell,\r\n    cellId:   cellId,\r\n    intensity:  interpIntensity,\r\n    dataCoordinate: this.positions[cell[data[0]]]\r\n  }\r\n}\r\n\r\n\r\nproto.dispose = function() {\r\n  this.texture.dispose()\r\n\r\n  this.triShader.dispose()\r\n  this.lineShader.dispose()\r\n  this.pointShader.dispose()\r\n  this.pickShader.dispose()\r\n  this.pointPickShader.dispose()\r\n\r\n  this.triangleVAO.dispose()\r\n  this.trianglePositions.dispose()\r\n  this.triangleColors.dispose()\r\n  this.triangleUVs.dispose()\r\n  this.triangleNormals.dispose()\r\n  this.triangleIds.dispose()\r\n\r\n  this.edgeVAO.dispose()\r\n  this.edgePositions.dispose()\r\n  this.edgeColors.dispose()\r\n  this.edgeUVs.dispose()\r\n  this.edgeIds.dispose()\r\n\r\n  this.pointVAO.dispose()\r\n  this.pointPositions.dispose()\r\n  this.pointColors.dispose()\r\n  this.pointUVs.dispose()\r\n  this.pointSizes.dispose()\r\n  this.pointIds.dispose()\r\n\r\n  this.contourVAO.dispose()\r\n  this.contourPositions.dispose()\r\n  this.contourShader.dispose()\r\n}\r\n\r\nfunction createMeshShader(gl) {\r\n  var shader = createShader(gl, meshShader.vertex, meshShader.fragment)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.color.location    = 2\r\n  shader.attributes.uv.location       = 3\r\n  shader.attributes.normal.location   = 4\r\n  return shader\r\n}\r\n\r\nfunction createWireShader(gl) {\r\n  var shader = createShader(gl, wireShader.vertex, wireShader.fragment)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.color.location    = 2\r\n  shader.attributes.uv.location       = 3\r\n  return shader\r\n}\r\n\r\nfunction createPointShader(gl) {\r\n  var shader = createShader(gl, pointShader.vertex, pointShader.fragment)\r\n  shader.attributes.position.location  = 0\r\n  shader.attributes.color.location     = 2\r\n  shader.attributes.uv.location        = 3\r\n  shader.attributes.pointSize.location = 4\r\n  return shader\r\n}\r\n\r\nfunction createPickShader(gl) {\r\n  var shader = createShader(gl, pickShader.vertex, pickShader.fragment)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.id.location       = 1\r\n  return shader\r\n}\r\n\r\nfunction createPointPickShader(gl) {\r\n  var shader = createShader(gl, pointPickShader.vertex, pointPickShader.fragment)\r\n  shader.attributes.position.location  = 0\r\n  shader.attributes.id.location        = 1\r\n  shader.attributes.pointSize.location = 4\r\n  return shader\r\n}\r\n\r\nfunction createContourShader(gl) {\r\n  var shader = createShader(gl, contourShader.vertex, contourShader.fragment)\r\n  shader.attributes.position.location = 0\r\n  return shader\r\n}\r\n\r\nfunction createSimplicialMesh(gl, params) {\r\n  if (arguments.length === 1) {\r\n    params = gl;\r\n    gl = params.gl;\r\n  }\r\n\r\n  //enable derivatives for face normals\r\n  var ext = gl.getExtension('OES_standard_derivatives') || gl.getExtension('MOZ_OES_standard_derivatives') || gl.getExtension('WEBKIT_OES_standard_derivatives')\r\n  if (!ext)\r\n    throw new Error('derivatives not supported')\r\n\r\n  var triShader       = createMeshShader(gl)\r\n  var lineShader      = createWireShader(gl)\r\n  var pointShader     = createPointShader(gl)\r\n  var pickShader      = createPickShader(gl)\r\n  var pointPickShader = createPointPickShader(gl)\r\n  var contourShader   = createContourShader(gl)\r\n\r\n  var meshTexture       = createTexture(gl,\r\n    ndarray(new Uint8Array([255,255,255,255]), [1,1,4]))\r\n  meshTexture.generateMipmap()\r\n  meshTexture.minFilter = gl.LINEAR_MIPMAP_LINEAR\r\n  meshTexture.magFilter = gl.LINEAR\r\n\r\n  var trianglePositions = createBuffer(gl)\r\n  var triangleColors    = createBuffer(gl)\r\n  var triangleUVs       = createBuffer(gl)\r\n  var triangleNormals   = createBuffer(gl)\r\n  var triangleIds       = createBuffer(gl)\r\n  var triangleVAO       = createVAO(gl, [\r\n    { buffer: trianglePositions,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    },\r\n    { buffer: triangleIds,\r\n      type: gl.UNSIGNED_BYTE,\r\n      size: 4,\r\n      normalized: true\r\n    },\r\n    { buffer: triangleColors,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: triangleUVs,\r\n      type: gl.FLOAT,\r\n      size: 2\r\n    },\r\n    { buffer: triangleNormals,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    }\r\n  ])\r\n\r\n  var edgePositions = createBuffer(gl)\r\n  var edgeColors    = createBuffer(gl)\r\n  var edgeUVs       = createBuffer(gl)\r\n  var edgeIds       = createBuffer(gl)\r\n  var edgeVAO       = createVAO(gl, [\r\n    { buffer: edgePositions,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    },\r\n    { buffer: edgeIds,\r\n      type: gl.UNSIGNED_BYTE,\r\n      size: 4,\r\n      normalized: true\r\n    },\r\n    { buffer: edgeColors,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: edgeUVs,\r\n      type: gl.FLOAT,\r\n      size: 2\r\n    }\r\n  ])\r\n\r\n  var pointPositions  = createBuffer(gl)\r\n  var pointColors     = createBuffer(gl)\r\n  var pointUVs        = createBuffer(gl)\r\n  var pointSizes      = createBuffer(gl)\r\n  var pointIds        = createBuffer(gl)\r\n  var pointVAO        = createVAO(gl, [\r\n    { buffer: pointPositions,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    },\r\n    { buffer: pointIds,\r\n      type: gl.UNSIGNED_BYTE,\r\n      size: 4,\r\n      normalized: true\r\n    },\r\n    { buffer: pointColors,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: pointUVs,\r\n      type: gl.FLOAT,\r\n      size: 2\r\n    },\r\n    { buffer: pointSizes,\r\n      type: gl.FLOAT,\r\n      size: 1\r\n    }\r\n  ])\r\n\r\n  var contourPositions = createBuffer(gl)\r\n  var contourVAO       = createVAO(gl, [\r\n    { buffer: contourPositions,\r\n      type:   gl.FLOAT,\r\n      size:   3\r\n    }])\r\n\r\n  var mesh = new SimplicialMesh(gl\r\n    , meshTexture\r\n    , triShader\r\n    , lineShader\r\n    , pointShader\r\n    , pickShader\r\n    , pointPickShader\r\n    , contourShader\r\n    , trianglePositions\r\n    , triangleIds\r\n    , triangleColors\r\n    , triangleUVs\r\n    , triangleNormals\r\n    , triangleVAO\r\n    , edgePositions\r\n    , edgeIds\r\n    , edgeColors\r\n    , edgeUVs\r\n    , edgeVAO\r\n    , pointPositions\r\n    , pointIds\r\n    , pointColors\r\n    , pointUVs\r\n    , pointSizes\r\n    , pointVAO\r\n    , contourPositions\r\n    , contourVAO)\r\n\r\n  mesh.update(params)\r\n\r\n  return mesh\r\n}\r\n\r\nmodule.exports = createSimplicialMesh\r\n\n},{\"./lib/closest-point\":266,\"./lib/shaders\":267,\"colormap\":114,\"gl-buffer\":230,\"gl-mat4/invert\":254,\"gl-mat4/multiply\":256,\"gl-shader\":288,\"gl-texture2d\":305,\"gl-vao\":310,\"ndarray\":433,\"normals\":436,\"simplicial-complex-contour\":494,\"typedarray-pool\":522}],269:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createBoxes\r\n\r\nvar createBuffer = _dereq_('gl-buffer')\r\nvar createShader = _dereq_('gl-shader')\r\n\r\nvar shaders = _dereq_('./shaders')\r\n\r\nfunction Boxes(plot, vbo, shader) {\r\n  this.plot   = plot\r\n  this.vbo    = vbo\r\n  this.shader = shader\r\n}\r\n\r\nvar proto = Boxes.prototype\r\n\r\nproto.bind = function() {\r\n  var shader = this.shader\r\n  this.vbo.bind()\r\n  this.shader.bind()\r\n  shader.attributes.coord.pointer()\r\n  shader.uniforms.screenBox = this.plot.screenBox\r\n}\r\n\r\nproto.drawBox = (function() {\r\n  var lo = [0,0]\r\n  var hi = [0,0]\r\n  return function(loX, loY, hiX, hiY, color) {\r\n    var plot       = this.plot\r\n    var shader     = this.shader\r\n    var gl         = plot.gl\r\n\r\n    lo[0] = loX\r\n    lo[1] = loY\r\n    hi[0] = hiX\r\n    hi[1] = hiY\r\n\r\n    shader.uniforms.lo     = lo\r\n    shader.uniforms.hi     = hi\r\n    shader.uniforms.color  = color\r\n\r\n    gl.drawArrays(gl.TRIANGLE_STRIP, 0, 4)\r\n  }\r\n}())\r\n\r\nproto.dispose = function() {\r\n  this.vbo.dispose()\r\n  this.shader.dispose()\r\n}\r\n\r\nfunction createBoxes(plot) {\r\n  var gl  = plot.gl\r\n  var vbo = createBuffer(gl, [\r\n    0,0,\r\n    0,1,\r\n    1,0,\r\n    1,1])\r\n  var shader  = createShader(gl, shaders.boxVert, shaders.lineFrag)\r\n  return new Boxes(plot, vbo, shader)\r\n}\r\n\n},{\"./shaders\":272,\"gl-buffer\":230,\"gl-shader\":288}],270:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createGrid\r\n\r\nvar createBuffer  = _dereq_('gl-buffer')\r\nvar createShader  = _dereq_('gl-shader')\r\nvar bsearch       = _dereq_('binary-search-bounds')\r\nvar shaders       = _dereq_('./shaders')\r\n\r\nfunction Grid(plot, vbo, shader, tickShader) {\r\n  this.plot   = plot\r\n  this.vbo    = vbo\r\n  this.shader = shader\r\n  this.tickShader = tickShader\r\n  this.ticks  = [[], []]\r\n}\r\n\r\nfunction compareTickNum(a, b) {\r\n  return a - b\r\n}\r\n\r\nvar proto = Grid.prototype\r\n\r\nproto.draw = (function() {\r\n\r\n  var DATA_SHIFT = [0,0]\r\n  var DATA_SCALE = [0,0]\r\n  var DATA_AXIS  = [0,0]\r\n\r\n  return function() {\r\n    var plot       = this.plot\r\n    var vbo        = this.vbo\r\n    var shader     = this.shader\r\n    var ticks      = this.ticks\r\n    var gl         = plot.gl\r\n    var bounds     = plot._tickBounds\r\n    var dataBox    = plot.dataBox\r\n    var viewPixels = plot.viewBox\r\n    var lineWidth  = plot.gridLineWidth\r\n    var gridColor  = plot.gridLineColor\r\n    var gridEnable = plot.gridLineEnable\r\n    var pixelRatio = plot.pixelRatio\r\n\r\n    for(var i=0; i<2; ++i) {\r\n      var lo = bounds[i]\r\n      var hi = bounds[i+2]\r\n      var boundScale = hi - lo\r\n      var dataCenter  = 0.5 * (dataBox[i+2] + dataBox[i])\r\n      var dataWidth   = dataBox[i+2] - dataBox[i]\r\n      DATA_SCALE[i] = 2.0 * boundScale / dataWidth\r\n      DATA_SHIFT[i] = 2.0 * (lo - dataCenter) / dataWidth\r\n    }\r\n\r\n    shader.bind()\r\n    vbo.bind()\r\n    shader.attributes.dataCoord.pointer()\r\n    shader.uniforms.dataShift = DATA_SHIFT\r\n    shader.uniforms.dataScale = DATA_SCALE\r\n\r\n    var offset = 0\r\n    for(var i=0; i<2; ++i) {\r\n      DATA_AXIS[0] = DATA_AXIS[1] = 0\r\n      DATA_AXIS[i] = 1\r\n      shader.uniforms.dataAxis  = DATA_AXIS\r\n      shader.uniforms.lineWidth = lineWidth[i] / (viewPixels[i+2] - viewPixels[i]) * pixelRatio\r\n      shader.uniforms.color     = gridColor[i]\r\n\r\n      var size = ticks[i].length * 6\r\n      if(gridEnable[i] && size) {\r\n        gl.drawArrays(gl.TRIANGLES, offset, size)\r\n      }\r\n      offset += size\r\n    }\r\n  }\r\n})()\r\n\r\nproto.drawTickMarks = (function() {\r\n  var DATA_SHIFT = [0,0]\r\n  var DATA_SCALE = [0,0]\r\n  var X_AXIS     = [1,0]\r\n  var Y_AXIS     = [0,1]\r\n  var SCR_OFFSET = [0,0]\r\n  var TICK_SCALE = [0,0]\r\n\r\n  return function() {\r\n    var plot       = this.plot\r\n    var vbo        = this.vbo\r\n    var shader     = this.tickShader\r\n    var ticks      = this.ticks\r\n    var gl         = plot.gl\r\n    var bounds     = plot._tickBounds\r\n    var dataBox    = plot.dataBox\r\n    var viewBox    = plot.viewBox\r\n    var pixelRatio = plot.pixelRatio\r\n    var screenBox  = plot.screenBox\r\n\r\n    var screenWidth  = screenBox[2] - screenBox[0]\r\n    var screenHeight = screenBox[3] - screenBox[1]\r\n    var viewWidth    = viewBox[2]   - viewBox[0]\r\n    var viewHeight   = viewBox[3]   - viewBox[1]\r\n\r\n    for(var i=0; i<2; ++i) {\r\n      var lo = bounds[i]\r\n      var hi = bounds[i+2]\r\n      var boundScale = hi - lo\r\n      var dataCenter  = 0.5 * (dataBox[i+2] + dataBox[i])\r\n      var dataWidth   = (dataBox[i+2] - dataBox[i])\r\n      DATA_SCALE[i] = 2.0 * boundScale / dataWidth\r\n      DATA_SHIFT[i] = 2.0 * (lo - dataCenter) / dataWidth\r\n    }\r\n\r\n    DATA_SCALE[0] *= viewWidth / screenWidth\r\n    DATA_SHIFT[0] *= viewWidth / screenWidth\r\n\r\n    DATA_SCALE[1] *= viewHeight / screenHeight\r\n    DATA_SHIFT[1] *= viewHeight / screenHeight\r\n\r\n    shader.bind()\r\n    vbo.bind()\r\n\r\n    shader.attributes.dataCoord.pointer()\r\n\r\n    var uniforms = shader.uniforms\r\n    uniforms.dataShift = DATA_SHIFT\r\n    uniforms.dataScale = DATA_SCALE\r\n\r\n    var tickMarkLength = plot.tickMarkLength\r\n    var tickMarkWidth  = plot.tickMarkWidth\r\n    var tickMarkColor  = plot.tickMarkColor\r\n\r\n    var xTicksOffset = 0\r\n    var yTicksOffset = ticks[0].length * 6\r\n\r\n    var xStart = Math.min(bsearch.ge(ticks[0], (dataBox[0] - bounds[0]) / (bounds[2] - bounds[0]), compareTickNum), ticks[0].length)\r\n    var xEnd   = Math.min(bsearch.gt(ticks[0], (dataBox[2] - bounds[0]) / (bounds[2] - bounds[0]), compareTickNum), ticks[0].length)\r\n    var xOffset = xTicksOffset + 6 * xStart\r\n    var xCount  = 6 * Math.max(0, xEnd - xStart)\r\n\r\n    var yStart = Math.min(bsearch.ge(ticks[1], (dataBox[1] - bounds[1]) / (bounds[3] - bounds[1]), compareTickNum), ticks[1].length)\r\n    var yEnd   = Math.min(bsearch.gt(ticks[1], (dataBox[3] - bounds[1]) / (bounds[3] - bounds[1]), compareTickNum), ticks[1].length)\r\n    var yOffset = yTicksOffset + 6 * yStart\r\n    var yCount  = 6 * Math.max(0, yEnd - yStart)\r\n\r\n    SCR_OFFSET[0]         = 2.0 * (viewBox[0] - tickMarkLength[1]) / screenWidth - 1.0\r\n    SCR_OFFSET[1]         = (viewBox[3] + viewBox[1]) / screenHeight - 1.0\r\n    TICK_SCALE[0]         = tickMarkLength[1] * pixelRatio / screenWidth\r\n    TICK_SCALE[1]         = tickMarkWidth[1]  * pixelRatio / screenHeight\r\n\r\n    if(yCount) {\r\n      uniforms.color        = tickMarkColor[1]\r\n      uniforms.tickScale    = TICK_SCALE\r\n      uniforms.dataAxis     = Y_AXIS\r\n      uniforms.screenOffset = SCR_OFFSET\r\n      gl.drawArrays(gl.TRIANGLES, yOffset, yCount)\r\n    }\r\n\r\n    SCR_OFFSET[0]         = (viewBox[2] + viewBox[0]) / screenWidth - 1.0\r\n    SCR_OFFSET[1]         = 2.0 * (viewBox[1] - tickMarkLength[0]) / screenHeight - 1.0\r\n    TICK_SCALE[0]         = tickMarkWidth[0]  * pixelRatio / screenWidth\r\n    TICK_SCALE[1]         = tickMarkLength[0] * pixelRatio / screenHeight\r\n\r\n    if(xCount) {\r\n      uniforms.color        = tickMarkColor[0]\r\n      uniforms.tickScale    = TICK_SCALE\r\n      uniforms.dataAxis     = X_AXIS\r\n      uniforms.screenOffset = SCR_OFFSET\r\n      gl.drawArrays(gl.TRIANGLES, xOffset, xCount)\r\n    }\r\n\r\n    SCR_OFFSET[0]         = 2.0 * (viewBox[2] + tickMarkLength[3]) / screenWidth - 1.0\r\n    SCR_OFFSET[1]         = (viewBox[3] + viewBox[1]) / screenHeight - 1.0\r\n    TICK_SCALE[0]         = tickMarkLength[3] * pixelRatio / screenWidth\r\n    TICK_SCALE[1]         = tickMarkWidth[3]  * pixelRatio / screenHeight\r\n\r\n    if(yCount) {\r\n      uniforms.color        = tickMarkColor[3]\r\n      uniforms.tickScale    = TICK_SCALE\r\n      uniforms.dataAxis     = Y_AXIS\r\n      uniforms.screenOffset = SCR_OFFSET\r\n      gl.drawArrays(gl.TRIANGLES, yOffset, yCount)\r\n    }\r\n\r\n    SCR_OFFSET[0]         = (viewBox[2] + viewBox[0]) / screenWidth - 1.0\r\n    SCR_OFFSET[1]         = 2.0 * (viewBox[3] + tickMarkLength[2]) / screenHeight - 1.0\r\n    TICK_SCALE[0]         = tickMarkWidth[2]  * pixelRatio / screenWidth\r\n    TICK_SCALE[1]         = tickMarkLength[2] * pixelRatio / screenHeight\r\n\r\n    if(xCount) {\r\n      uniforms.color        = tickMarkColor[2]\r\n      uniforms.tickScale    = TICK_SCALE\r\n      uniforms.dataAxis     = X_AXIS\r\n      uniforms.screenOffset = SCR_OFFSET\r\n      gl.drawArrays(gl.TRIANGLES, xOffset, xCount)\r\n    }\r\n  }\r\n})()\r\n\r\nproto.update = (function() {\r\n  var OFFSET_X = [1,  1, -1, -1,  1, -1]\r\n  var OFFSET_Y = [1, -1,  1,  1, -1, -1]\r\n\r\n  return function(options) {\r\n    var ticks  = options.ticks\r\n    var bounds = options.bounds\r\n    var data   = new Float32Array(6 * 3 * (ticks[0].length + ticks[1].length))\r\n\r\n    var zeroLineEnable = this.plot.zeroLineEnable\r\n\r\n    var ptr    = 0\r\n    var gridTicks = [[], []]\r\n    for(var dim=0; dim<2; ++dim) {\r\n      var localTicks = gridTicks[dim]\r\n      var axisTicks = ticks[dim]\r\n      var lo = bounds[dim]\r\n      var hi = bounds[dim+2]\r\n      for(var i=0; i<axisTicks.length; ++i) {\r\n        var x = (axisTicks[i].x - lo) / (hi - lo)\r\n        localTicks.push(x)\r\n        for(var j=0; j<6; ++j) {\r\n          data[ptr++] = x\r\n          data[ptr++] = OFFSET_X[j]\r\n          data[ptr++] = OFFSET_Y[j]\r\n        }\r\n      }\r\n    }\r\n\r\n    this.ticks = gridTicks\r\n    this.vbo.update(data)\r\n  }\r\n})()\r\n\r\nproto.dispose = function() {\r\n  this.vbo.dispose()\r\n  this.shader.dispose()\r\n  this.tickShader.dispose()\r\n}\r\n\r\nfunction createGrid(plot) {\r\n  var gl     = plot.gl\r\n  var vbo    = createBuffer(gl)\r\n  var shader = createShader(gl, shaders.gridVert, shaders.gridFrag)\r\n  var tickShader = createShader(gl, shaders.tickVert, shaders.gridFrag)\r\n  var grid   = new Grid(plot, vbo, shader, tickShader)\r\n  return grid\r\n}\r\n\n},{\"./shaders\":272,\"binary-search-bounds\":274,\"gl-buffer\":230,\"gl-shader\":288}],271:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createLines\r\n\r\nvar createBuffer = _dereq_('gl-buffer')\r\nvar createShader = _dereq_('gl-shader')\r\n\r\nvar shaders = _dereq_('./shaders')\r\n\r\nfunction Lines(plot, vbo, shader) {\r\n  this.plot   = plot\r\n  this.vbo    = vbo\r\n  this.shader = shader\r\n}\r\n\r\nvar proto = Lines.prototype\r\n\r\nproto.bind = function() {\r\n  var shader = this.shader\r\n  this.vbo.bind()\r\n  this.shader.bind()\r\n  shader.attributes.coord.pointer()\r\n  shader.uniforms.screenBox = this.plot.screenBox\r\n}\r\n\r\nproto.drawLine = (function() {\r\n  var start = [0,0]\r\n  var end   = [0,0]\r\n  return function(startX, startY, endX, endY, width, color) {\r\n    var plot       = this.plot\r\n    var shader     = this.shader\r\n    var gl         = plot.gl\r\n\r\n    start[0] = startX\r\n    start[1] = startY\r\n    end[0]   = endX\r\n    end[1]   = endY\r\n\r\n    shader.uniforms.start  = start\r\n    shader.uniforms.end    = end\r\n    shader.uniforms.width  = width * plot.pixelRatio\r\n    shader.uniforms.color  = color\r\n\r\n    gl.drawArrays(gl.TRIANGLE_STRIP, 0, 4)\r\n  }\r\n}())\r\n\r\nproto.dispose = function() {\r\n  this.vbo.dispose()\r\n  this.shader.dispose()\r\n}\r\n\r\nfunction createLines(plot) {\r\n  var gl  = plot.gl\r\n  var vbo = createBuffer(gl, [\r\n    -1,-1,\r\n    -1,1,\r\n    1,-1,\r\n    1,1])\r\n  var shader  = createShader(gl, shaders.lineVert, shaders.lineFrag)\r\n  var lines   = new Lines(plot, vbo, shader)\r\n  return lines\r\n}\r\n\n},{\"./shaders\":272,\"gl-buffer\":230,\"gl-shader\":288}],272:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar glslify = _dereq_('glslify')\r\n\r\nvar FRAGMENT = glslify([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"])\r\n\r\nmodule.exports = {\r\n  lineVert: glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),\r\n  lineFrag: FRAGMENT,\r\n  textVert: glslify([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),\r\n  textFrag: FRAGMENT,\r\n  gridVert: glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),\r\n  gridFrag: FRAGMENT,\r\n  boxVert:  glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),\r\n  tickVert: glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])\r\n}\r\n\n},{\"glslify\":392}],273:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createTextElements\r\n\r\nvar createBuffer = _dereq_('gl-buffer')\r\nvar createShader = _dereq_('gl-shader')\r\nvar getText      = _dereq_('text-cache')\r\nvar bsearch      = _dereq_('binary-search-bounds')\r\nvar shaders      = _dereq_('./shaders')\r\n\r\nfunction TextElements(plot, vbo, shader) {\r\n  this.plot         = plot\r\n  this.vbo          = vbo\r\n  this.shader       = shader\r\n  this.tickOffset   = [[],[]]\r\n  this.tickX        = [[],[]]\r\n  this.labelOffset  = [0,0]\r\n  this.labelCount   = [0,0]\r\n}\r\n\r\nvar proto = TextElements.prototype\r\n\r\nproto.drawTicks = (function() {\r\n  var DATA_AXIS = [0,0]\r\n  var SCREEN_OFFSET = [0,0]\r\n  var ZERO_2 = [0,0]\r\n\r\n  return function(axis) {\r\n    var plot        = this.plot\r\n    var shader      = this.shader\r\n    var tickX       = this.tickX[axis]\r\n    var tickOffset  = this.tickOffset[axis]\r\n    var gl          = plot.gl\r\n    var viewBox     = plot.viewBox\r\n    var dataBox     = plot.dataBox\r\n    var screenBox   = plot.screenBox\r\n    var pixelRatio  = plot.pixelRatio\r\n    var tickEnable  = plot.tickEnable\r\n    var tickPad     = plot.tickPad\r\n    var textColor   = plot.tickColor\r\n    var textAngle   = plot.tickAngle\r\n    // todo check if this should be used (now unused)\r\n    // var tickLength  = plot.tickMarkLength\r\n\r\n    var labelEnable = plot.labelEnable\r\n    var labelPad    = plot.labelPad\r\n    var labelColor  = plot.labelColor\r\n    var labelAngle  = plot.labelAngle\r\n    var labelOffset = this.labelOffset[axis]\r\n    var labelCount  = this.labelCount[axis]\r\n\r\n    var start = bsearch.lt(tickX, dataBox[axis])\r\n    var end   = bsearch.le(tickX, dataBox[axis+2])\r\n\r\n    DATA_AXIS[0]    = DATA_AXIS[1] = 0\r\n    DATA_AXIS[axis] = 1\r\n\r\n    SCREEN_OFFSET[axis] = (viewBox[2+axis] + viewBox[axis]) / (screenBox[2+axis] - screenBox[axis]) - 1.0\r\n\r\n    var screenScale = 2.0 / screenBox[2+(axis^1)] - screenBox[axis^1]\r\n\r\n    SCREEN_OFFSET[axis^1] = screenScale * viewBox[axis^1] - 1.0\r\n    if(tickEnable[axis]) {\r\n      SCREEN_OFFSET[axis^1] -= screenScale * pixelRatio * tickPad[axis]\r\n      if(start < end && tickOffset[end] > tickOffset[start]) {\r\n        shader.uniforms.dataAxis     = DATA_AXIS\r\n        shader.uniforms.screenOffset = SCREEN_OFFSET\r\n        shader.uniforms.color        = textColor[axis]\r\n        shader.uniforms.angle        = textAngle[axis]\r\n        gl.drawArrays(\r\n          gl.TRIANGLES,\r\n          tickOffset[start],\r\n          tickOffset[end] - tickOffset[start])\r\n      }\r\n    }\r\n    if(labelEnable[axis] && labelCount) {\r\n      SCREEN_OFFSET[axis^1] -= screenScale * pixelRatio * labelPad[axis]\r\n      shader.uniforms.dataAxis     = ZERO_2\r\n      shader.uniforms.screenOffset = SCREEN_OFFSET\r\n      shader.uniforms.color        = labelColor[axis]\r\n      shader.uniforms.angle        = labelAngle[axis]\r\n      gl.drawArrays(\r\n        gl.TRIANGLES,\r\n        labelOffset,\r\n        labelCount)\r\n    }\r\n\r\n    SCREEN_OFFSET[axis^1] = screenScale * viewBox[2+(axis^1)] - 1.0\r\n    if(tickEnable[axis+2]) {\r\n      SCREEN_OFFSET[axis^1] += screenScale * pixelRatio * tickPad[axis+2]\r\n      if(start < end && tickOffset[end] > tickOffset[start]) {\r\n        shader.uniforms.dataAxis     = DATA_AXIS\r\n        shader.uniforms.screenOffset = SCREEN_OFFSET\r\n        shader.uniforms.color        = textColor[axis+2]\r\n        shader.uniforms.angle        = textAngle[axis+2]\r\n        gl.drawArrays(\r\n          gl.TRIANGLES,\r\n          tickOffset[start],\r\n          tickOffset[end] - tickOffset[start])\r\n      }\r\n    }\r\n    if(labelEnable[axis+2] && labelCount) {\r\n      SCREEN_OFFSET[axis^1] += screenScale * pixelRatio * labelPad[axis+2]\r\n      shader.uniforms.dataAxis     = ZERO_2\r\n      shader.uniforms.screenOffset = SCREEN_OFFSET\r\n      shader.uniforms.color        = labelColor[axis+2]\r\n      shader.uniforms.angle        = labelAngle[axis+2]\r\n      gl.drawArrays(\r\n        gl.TRIANGLES,\r\n        labelOffset,\r\n        labelCount)\r\n    }\r\n\r\n  }\r\n})()\r\n\r\nproto.drawTitle = (function() {\r\n  var DATA_AXIS = [0,0]\r\n  var SCREEN_OFFSET = [0,0]\r\n\r\n  return function() {\r\n    var plot        = this.plot\r\n    var shader      = this.shader\r\n    var gl          = plot.gl\r\n    var screenBox   = plot.screenBox\r\n    var titleCenter = plot.titleCenter\r\n    var titleAngle  = plot.titleAngle\r\n    var titleColor  = plot.titleColor\r\n    var pixelRatio  = plot.pixelRatio\r\n\r\n    if(!this.titleCount) {\r\n      return\r\n    }\r\n\r\n    for(var i=0; i<2; ++i) {\r\n      SCREEN_OFFSET[i] = 2.0 * (titleCenter[i]*pixelRatio - screenBox[i]) /\r\n        (screenBox[2+i] - screenBox[i]) - 1\r\n    }\r\n\r\n    shader.bind()\r\n    shader.uniforms.dataAxis      = DATA_AXIS\r\n    shader.uniforms.screenOffset  = SCREEN_OFFSET\r\n    shader.uniforms.angle         = titleAngle\r\n    shader.uniforms.color         = titleColor\r\n\r\n    gl.drawArrays(gl.TRIANGLES, this.titleOffset, this.titleCount)\r\n  }\r\n})()\r\n\r\nproto.bind = (function() {\r\n  var DATA_SHIFT = [0,0]\r\n  var DATA_SCALE = [0,0]\r\n  var TEXT_SCALE = [0,0]\r\n\r\n  return function() {\r\n    var plot      = this.plot\r\n    var shader    = this.shader\r\n    var bounds    = plot._tickBounds\r\n    var dataBox   = plot.dataBox\r\n    var screenBox = plot.screenBox\r\n    var viewBox   = plot.viewBox\r\n\r\n    shader.bind()\r\n\r\n    //Set up coordinate scaling uniforms\r\n    for(var i=0; i<2; ++i) {\r\n\r\n      var lo = bounds[i]\r\n      var hi = bounds[i+2]\r\n      var boundScale = hi - lo\r\n      var dataCenter  = 0.5 * (dataBox[i+2] + dataBox[i])\r\n      var dataWidth   = (dataBox[i+2] - dataBox[i])\r\n\r\n      var viewLo = viewBox[i]\r\n      var viewHi = viewBox[i+2]\r\n      var viewScale = viewHi - viewLo\r\n      var screenLo = screenBox[i]\r\n      var screenHi = screenBox[i+2]\r\n      var screenScale = screenHi - screenLo\r\n\r\n      DATA_SCALE[i] = 2.0 * boundScale / dataWidth * viewScale / screenScale\r\n      DATA_SHIFT[i] = 2.0 * (lo - dataCenter) / dataWidth * viewScale / screenScale\r\n    }\r\n\r\n    TEXT_SCALE[1] = 2.0 * plot.pixelRatio / (screenBox[3] - screenBox[1])\r\n    TEXT_SCALE[0] = TEXT_SCALE[1] * (screenBox[3] - screenBox[1]) / (screenBox[2] - screenBox[0])\r\n\r\n    shader.uniforms.dataScale = DATA_SCALE\r\n    shader.uniforms.dataShift = DATA_SHIFT\r\n    shader.uniforms.textScale = TEXT_SCALE\r\n\r\n    //Set attributes\r\n    this.vbo.bind()\r\n    shader.attributes.textCoordinate.pointer()\r\n  }\r\n})()\r\n\r\nproto.update = function(options) {\r\n  var vertices  = []\r\n  var axesTicks = options.ticks\r\n  var bounds    = options.bounds\r\n  var i, j, k, data, scale, dimension\r\n\r\n  for(dimension=0; dimension<2; ++dimension) {\r\n    var offsets = [Math.floor(vertices.length/3)], tickX = [-Infinity]\r\n\r\n    //Copy vertices over to buffer\r\n    var ticks = axesTicks[dimension]\r\n    for(i=0; i<ticks.length; ++i) {\r\n      var tick  = ticks[i]\r\n      var x     = tick.x\r\n      var text  = tick.text\r\n      var font  = tick.font || 'sans-serif'\r\n      scale = (tick.fontSize || 12)\r\n\r\n      var coordScale = 1.0 / (bounds[dimension+2] - bounds[dimension])\r\n      var coordShift = bounds[dimension]\r\n\r\n      var rows = text.split('\\n')\r\n      for(var r = 0; r < rows.length; r++) {\r\n        data = getText(font, rows[r]).data\r\n        for (j = 0; j < data.length; j += 2) {\r\n          vertices.push(\r\n              data[j] * scale,\r\n              -data[j + 1] * scale - r * scale * 1.2,\r\n              (x - coordShift) * coordScale)\r\n        }\r\n      }\r\n\r\n      offsets.push(Math.floor(vertices.length/3))\r\n      tickX.push(x)\r\n    }\r\n\r\n    this.tickOffset[dimension] = offsets\r\n    this.tickX[dimension] = tickX\r\n  }\r\n\r\n  //Add labels\r\n  for(dimension=0; dimension<2; ++dimension) {\r\n    this.labelOffset[dimension] = Math.floor(vertices.length/3)\r\n\r\n    data  = getText(options.labelFont[dimension], options.labels[dimension], { textAlign: 'center' }).data\r\n    scale = options.labelSize[dimension]\r\n    for(i=0; i<data.length; i+=2) {\r\n      vertices.push(data[i]*scale, -data[i+1]*scale, 0)\r\n    }\r\n\r\n    this.labelCount[dimension] =\r\n      Math.floor(vertices.length/3) - this.labelOffset[dimension]\r\n  }\r\n\r\n  //Add title\r\n  this.titleOffset = Math.floor(vertices.length/3)\r\n  data = getText(options.titleFont, options.title).data\r\n  scale = options.titleSize\r\n  for(i=0; i<data.length; i+=2) {\r\n    vertices.push(data[i]*scale, -data[i+1]*scale, 0)\r\n  }\r\n  this.titleCount = Math.floor(vertices.length/3) - this.titleOffset\r\n\r\n  //Upload new vertices\r\n  this.vbo.update(vertices)\r\n}\r\n\r\nproto.dispose = function() {\r\n  this.vbo.dispose()\r\n  this.shader.dispose()\r\n}\r\n\r\nfunction createTextElements(plot) {\r\n  var gl = plot.gl\r\n  var vbo = createBuffer(gl)\r\n  var shader = createShader(gl, shaders.textVert, shaders.textFrag)\r\n  var text = new TextElements(plot, vbo, shader)\r\n  return text\r\n}\r\n\n},{\"./shaders\":272,\"binary-search-bounds\":274,\"gl-buffer\":230,\"gl-shader\":288,\"text-cache\":513}],274:[function(_dereq_,module,exports){\narguments[4][99][0].apply(exports,arguments)\n},{\"dup\":99}],275:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createGLPlot2D\r\n\r\nvar createPick = _dereq_('gl-select-static')\r\n\r\nvar createGrid = _dereq_('./lib/grid')\r\nvar createText = _dereq_('./lib/text')\r\nvar createLine = _dereq_('./lib/line')\r\nvar createBox  = _dereq_('./lib/box')\r\n\r\nfunction GLPlot2D(gl, pickBuffer) {\r\n  this.gl               = gl\r\n  this.pickBuffer       = pickBuffer\r\n\r\n  this.screenBox        = [0, 0, gl.drawingBufferWidth, gl.drawingBufferHeight]\r\n  this.viewBox          = [0, 0, 0, 0]\r\n  this.dataBox          = [-10, -10, 10, 10]\r\n\r\n  this.gridLineEnable   = [true,true]\r\n  this.gridLineWidth    = [1,1]\r\n  this.gridLineColor    = [[0,0,0,1],\r\n                           [0,0,0,1]]\r\n\r\n  this.pixelRatio       = 1\r\n\r\n  this.tickMarkLength   = [0,0,0,0]\r\n  this.tickMarkWidth    = [0,0,0,0]\r\n  this.tickMarkColor    = [[0,0,0,1],\r\n                           [0,0,0,1],\r\n                           [0,0,0,1],\r\n                           [0,0,0,1]]\r\n\r\n  this.tickPad          = [15,15,15,15]\r\n  this.tickAngle        = [0,0,0,0]\r\n  this.tickEnable       = [true,true,true,true]\r\n  this.tickColor        = [[0,0,0,1],\r\n                           [0,0,0,1],\r\n                           [0,0,0,1],\r\n                           [0,0,0,1]]\r\n\r\n  this.labelPad         = [15,15,15,15]\r\n  this.labelAngle       = [0,Math.PI/2,0,3.0*Math.PI/2]\r\n  this.labelEnable      = [true,true,true,true]\r\n  this.labelColor       = [[0,0,0,1],\r\n                           [0,0,0,1],\r\n                           [0,0,0,1],\r\n                           [0,0,0,1]]\r\n\r\n  this.titleCenter      = [0,0]\r\n  this.titleEnable      = true\r\n  this.titleAngle       = 0\r\n  this.titleColor       = [0,0,0,1]\r\n\r\n  this.borderColor      = [0,0,0,0]\r\n  this.backgroundColor  = [0,0,0,0]\r\n\r\n  this.zeroLineEnable   = [true, true]\r\n  this.zeroLineWidth    = [4, 4]\r\n  this.zeroLineColor    = [[0, 0, 0, 1],[0, 0, 0, 1]]\r\n\r\n  this.borderLineEnable = [true,true,true,true]\r\n  this.borderLineWidth  = [2,2,2,2]\r\n  this.borderLineColor  = [[0,0,0,1],\r\n                           [0,0,0,1],\r\n                           [0,0,0,1],\r\n                           [0,0,0,1]]\r\n\r\n  //Drawing parameters\r\n  this.grid             = null\r\n  this.text             = null\r\n  this.line             = null\r\n  this.box              = null\r\n  this.objects          = []\r\n  this.overlays         = []\r\n\r\n  this._tickBounds      = [Infinity, Infinity, -Infinity, -Infinity]\r\n\r\n  this.static = false\r\n\r\n  this.dirty        = false\r\n  this.pickDirty    = false\r\n  this.pickDelay    = 120\r\n  this.pickRadius   = 10\r\n  this._pickTimeout = null\r\n  this._drawPick    = this.drawPick.bind(this)\r\n\r\n  this._depthCounter = 0\r\n}\r\n\r\nvar proto = GLPlot2D.prototype\r\n\r\nproto.setDirty = function() {\r\n  this.dirty = this.pickDirty = true\r\n}\r\n\r\nproto.setOverlayDirty = function() {\r\n  this.dirty = true\r\n}\r\n\r\nproto.nextDepthValue = function() {\r\n  return (this._depthCounter++) / 65536.0\r\n}\r\n\r\nfunction lerp(a, b, t) {\r\n  var s = 0.5 * (t + 1.0)\r\n  return Math.floor((1.0-s)*a + s*b)|0\r\n}\r\n\r\nproto.draw = (function() {\r\nvar TICK_MARK_BOX = [0,0,0,0]\r\nreturn function() {\r\n  var gl         = this.gl\r\n  var screenBox  = this.screenBox\r\n  var viewPixels = this.viewBox\r\n  var dataBox    = this.dataBox\r\n  var pixelRatio = this.pixelRatio\r\n  var grid       = this.grid\r\n  var line       = this.line\r\n  var text       = this.text\r\n  var objects    = this.objects\r\n\r\n  this._depthCounter = 0\r\n\r\n  if(this.pickDirty) {\r\n    if(this._pickTimeout) {\r\n      clearTimeout(this._pickTimeout)\r\n    }\r\n    this.pickDirty = false\r\n    this._pickTimeout = setTimeout(this._drawPick, this.pickDelay)\r\n  }\r\n\r\n  if(!this.dirty) {\r\n    return\r\n  }\r\n  this.dirty = false\r\n\r\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null)\r\n\r\n  //Turn on scissor\r\n  gl.enable(gl.SCISSOR_TEST)\r\n\r\n  //Turn off depth buffer\r\n  gl.disable(gl.DEPTH_TEST)\r\n  gl.depthFunc(gl.LESS)\r\n  gl.depthMask(false)\r\n\r\n  //Configure premultiplied alpha blending\r\n  gl.enable(gl.BLEND)\r\n  gl.blendEquation(gl.FUNC_ADD, gl.FUNC_ADD);\r\n  gl.blendFunc(gl.ONE, gl.ONE_MINUS_SRC_ALPHA);\r\n\r\n  //Draw border\r\n  if (this.borderColor) {\r\n    gl.scissor(\r\n      screenBox[0],\r\n      screenBox[1],\r\n      screenBox[2]-screenBox[0],\r\n      screenBox[3]-screenBox[1])\r\n    var borderColor = this.borderColor\r\n    gl.clearColor(\r\n      borderColor[0]*borderColor[3],\r\n      borderColor[1]*borderColor[3],\r\n      borderColor[2]*borderColor[3],\r\n      borderColor[3])\r\n    gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT)\r\n  }\r\n\r\n  //Draw center pane\r\n  gl.scissor(\r\n    viewPixels[0],\r\n    viewPixels[1],\r\n    viewPixels[2]-viewPixels[0],\r\n    viewPixels[3]-viewPixels[1])\r\n  gl.viewport(\r\n    viewPixels[0],\r\n    viewPixels[1],\r\n    viewPixels[2]-viewPixels[0],\r\n    viewPixels[3]-viewPixels[1])\r\n  var backgroundColor = this.backgroundColor\r\n  gl.clearColor(\r\n    backgroundColor[0]*backgroundColor[3],\r\n    backgroundColor[1]*backgroundColor[3],\r\n    backgroundColor[2]*backgroundColor[3],\r\n    backgroundColor[3])\r\n  gl.clear(gl.COLOR_BUFFER_BIT)\r\n\r\n  //Draw grid\r\n  grid.draw()\r\n\r\n  //Draw zero lines separately\r\n  var zeroLineEnable = this.zeroLineEnable\r\n  var zeroLineColor  = this.zeroLineColor\r\n  var zeroLineWidth  = this.zeroLineWidth\r\n  if(zeroLineEnable[0] || zeroLineEnable[1]) {\r\n    line.bind()\r\n    for(var i=0; i<2; ++i) {\r\n      if(!zeroLineEnable[i] ||\r\n        !(dataBox[i] <= 0 && dataBox[i+2] >= 0)) {\r\n        continue\r\n      }\r\n\r\n      var zeroIntercept = screenBox[i] -\r\n        dataBox[i] * (screenBox[i+2] - screenBox[i]) / (dataBox[i+2] - dataBox[i])\r\n\r\n      if(i === 0) {\r\n        line.drawLine(\r\n          zeroIntercept, screenBox[1], zeroIntercept, screenBox[3],\r\n          zeroLineWidth[i],\r\n          zeroLineColor[i])\r\n      } else {\r\n        line.drawLine(\r\n          screenBox[0], zeroIntercept, screenBox[2], zeroIntercept,\r\n          zeroLineWidth[i],\r\n          zeroLineColor[i])\r\n      }\r\n    }\r\n  }\r\n\r\n  //Draw traces\r\n  for(var i=0; i<objects.length; ++i) {\r\n    objects[i].draw()\r\n  }\r\n\r\n  //Return viewport to default\r\n  gl.viewport(\r\n    screenBox[0],\r\n    screenBox[1],\r\n    screenBox[2]-screenBox[0],\r\n    screenBox[3]-screenBox[1])\r\n  gl.scissor(\r\n    screenBox[0],\r\n    screenBox[1],\r\n    screenBox[2]-screenBox[0],\r\n    screenBox[3]-screenBox[1])\r\n\r\n  //Draw tick marks\r\n  this.grid.drawTickMarks()\r\n\r\n  //Draw line elements\r\n  line.bind()\r\n\r\n  //Draw border lines\r\n  var borderLineEnable = this.borderLineEnable\r\n  var borderLineWidth  = this.borderLineWidth\r\n  var borderLineColor  = this.borderLineColor\r\n  if(borderLineEnable[1]) {\r\n    line.drawLine(\r\n      viewPixels[0], viewPixels[1] - 0.5*borderLineWidth[1]*pixelRatio,\r\n      viewPixels[0], viewPixels[3] + 0.5*borderLineWidth[3]*pixelRatio,\r\n      borderLineWidth[1], borderLineColor[1])\r\n  }\r\n  if(borderLineEnable[0]) {\r\n    line.drawLine(\r\n      viewPixels[0] - 0.5*borderLineWidth[0]*pixelRatio, viewPixels[1],\r\n      viewPixels[2] + 0.5*borderLineWidth[2]*pixelRatio, viewPixels[1],\r\n      borderLineWidth[0], borderLineColor[0])\r\n  }\r\n  if(borderLineEnable[3]) {\r\n    line.drawLine(\r\n      viewPixels[2], viewPixels[1] - 0.5*borderLineWidth[1]*pixelRatio,\r\n      viewPixels[2], viewPixels[3] + 0.5*borderLineWidth[3]*pixelRatio,\r\n      borderLineWidth[3], borderLineColor[3])\r\n  }\r\n  if(borderLineEnable[2]) {\r\n    line.drawLine(\r\n      viewPixels[0] - 0.5*borderLineWidth[0]*pixelRatio, viewPixels[3],\r\n      viewPixels[2] + 0.5*borderLineWidth[2]*pixelRatio, viewPixels[3],\r\n      borderLineWidth[2], borderLineColor[2])\r\n  }\r\n\r\n  //Draw text elements\r\n  text.bind()\r\n  for(var i=0; i<2; ++i) {\r\n    text.drawTicks(i)\r\n  }\r\n  if(this.titleEnable) {\r\n    text.drawTitle()\r\n  }\r\n\r\n  //Draw other overlay elements (select boxes, etc.)\r\n  var overlays = this.overlays\r\n  for(var i=0; i<overlays.length; ++i) {\r\n    overlays[i].draw()\r\n  }\r\n\r\n  //Turn off scissor test\r\n  gl.disable(gl.SCISSOR_TEST)\r\n  gl.disable(gl.BLEND)\r\n  gl.depthMask(true)\r\n}\r\n})()\r\n\r\nproto.drawPick = (function() {\r\n\r\nreturn function() {\r\n  if (this.static) return;\r\n\r\n  var pickBuffer = this.pickBuffer\r\n  var gl = this.gl\r\n\r\n  this._pickTimeout = null\r\n  pickBuffer.begin()\r\n\r\n  var pickOffset = 1\r\n  var objects = this.objects\r\n  for(var i=0; i<objects.length; ++i) {\r\n    pickOffset = objects[i].drawPick(pickOffset)\r\n  }\r\n\r\n  pickBuffer.end()\r\n}\r\n})()\r\n\r\nproto.pick = (function() {\r\nreturn function(x, y) {\r\n  if (this.static) return;\r\n\r\n  var pixelRatio     = this.pixelRatio\r\n  var pickPixelRatio = this.pickPixelRatio\r\n  var viewBox        = this.viewBox\r\n\r\n  var scrX = Math.round((x - viewBox[0] / pixelRatio) * pickPixelRatio)|0\r\n  var scrY = Math.round((y - viewBox[1] / pixelRatio) * pickPixelRatio)|0\r\n\r\n  var pickResult = this.pickBuffer.query(scrX, scrY, this.pickRadius)\r\n  if(!pickResult) {\r\n    return null\r\n  }\r\n\r\n  var pickValue = pickResult.id +\r\n    (pickResult.value[0]<<8)  +\r\n    (pickResult.value[1]<<16) +\r\n    (pickResult.value[2]<<24)\r\n\r\n  var objects = this.objects\r\n  for(var i=0; i<objects.length; ++i) {\r\n    var result = objects[i].pick(scrX, scrY, pickValue)\r\n    if(result) {\r\n      return result\r\n    }\r\n  }\r\n\r\n  return null\r\n}\r\n})()\r\n\r\nfunction deepClone(array) {\r\n  var result = array.slice()\r\n  for(var i=0; i<result.length; ++i) {\r\n    result[i] = result[i].slice()\r\n  }\r\n  return result\r\n}\r\n\r\nfunction compareTicks(a, b) {\r\n  return a.x - b.x\r\n}\r\n\r\nproto.setScreenBox = function(nbox) {\r\n  var screenBox = this.screenBox\r\n  var pixelRatio = this.pixelRatio\r\n\r\n  screenBox[0] = Math.round(nbox[0] * pixelRatio) | 0\r\n  screenBox[1] = Math.round(nbox[1] * pixelRatio) | 0\r\n  screenBox[2] = Math.round(nbox[2] * pixelRatio) | 0\r\n  screenBox[3] = Math.round(nbox[3] * pixelRatio) | 0\r\n\r\n  this.setDirty()\r\n}\r\n\r\nproto.setDataBox = function(nbox) {\r\n  var dataBox = this.dataBox\r\n\r\n  var different =\r\n    dataBox[0] !== nbox[0] ||\r\n    dataBox[1] !== nbox[1] ||\r\n    dataBox[2] !== nbox[2] ||\r\n    dataBox[3] !== nbox[3]\r\n\r\n  if(different) {\r\n    dataBox[0] = nbox[0]\r\n    dataBox[1] = nbox[1]\r\n    dataBox[2] = nbox[2]\r\n    dataBox[3] = nbox[3]\r\n\r\n    this.setDirty()\r\n  }\r\n}\r\n\r\nproto.setViewBox = function(nbox) {\r\n  var pixelRatio = this.pixelRatio\r\n  var viewBox = this.viewBox\r\n\r\n  viewBox[0] = Math.round(nbox[0] * pixelRatio)|0\r\n  viewBox[1] = Math.round(nbox[1] * pixelRatio)|0\r\n  viewBox[2] = Math.round(nbox[2] * pixelRatio)|0\r\n  viewBox[3] = Math.round(nbox[3] * pixelRatio)|0\r\n\r\n  var pickPixelRatio = this.pickPixelRatio\r\n  this.pickBuffer.shape = [\r\n    Math.round((nbox[2] - nbox[0]) * pickPixelRatio)|0,\r\n    Math.round((nbox[3] - nbox[1]) * pickPixelRatio)|0 ]\r\n\r\n  this.setDirty()\r\n}\r\n\r\nproto.update = function(options) {\r\n  options = options || {}\r\n\r\n  var gl = this.gl\r\n\r\n  this.pixelRatio      = options.pixelRatio || 1\r\n\r\n  var pixelRatio       = this.pixelRatio\r\n  this.pickPixelRatio  = Math.max(pixelRatio, 1)\r\n\r\n  this.setScreenBox(options.screenBox ||\r\n    [0, 0, gl.drawingBufferWidth/pixelRatio, gl.drawingBufferHeight/pixelRatio])\r\n\r\n  var screenBox = this.screenBox\r\n  this.setViewBox(options.viewBox ||\r\n    [0.125*(this.screenBox[2]-this.screenBox[0])/pixelRatio,\r\n     0.125*(this.screenBox[3]-this.screenBox[1])/pixelRatio,\r\n     0.875*(this.screenBox[2]-this.screenBox[0])/pixelRatio,\r\n     0.875*(this.screenBox[3]-this.screenBox[1])/pixelRatio])\r\n\r\n  var viewBox = this.viewBox\r\n  var aspectRatio = (viewBox[2] - viewBox[0]) / (viewBox[3] - viewBox[1])\r\n  this.setDataBox(options.dataBox || [-10, -10/aspectRatio, 10, 10/aspectRatio])\r\n\r\n  this.borderColor     = options.borderColor !== false ? (options.borderColor || [0,0,0,0]).slice() : false\r\n  this.backgroundColor = (options.backgroundColor || [0,0,0,0]).slice()\r\n\r\n  this.gridLineEnable  = (options.gridLineEnable || [true,true]).slice()\r\n  this.gridLineWidth   = (options.gridLineWidth || [1,1]).slice()\r\n  this.gridLineColor   = deepClone(options.gridLineColor ||\r\n    [[0.5,0.5,0.5,1],[0.5,0.5,0.5,1]])\r\n\r\n  this.zeroLineEnable   = (options.zeroLineEnable || [true, true]).slice()\r\n  this.zeroLineWidth    = (options.zeroLineWidth || [4, 4]).slice()\r\n  this.zeroLineColor    = deepClone(options.zeroLineColor ||\r\n    [[0, 0, 0, 1],[0, 0, 0, 1]])\r\n\r\n  this.tickMarkLength   = (options.tickMarkLength || [0,0,0,0]).slice()\r\n  this.tickMarkWidth    = (options.tickMarkWidth || [0,0,0,0]).slice()\r\n  this.tickMarkColor    = deepClone(options.tickMarkColor ||\r\n    [[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]])\r\n\r\n  this.titleCenter      = (options.titleCenter || [\r\n    0.5*(viewBox[0]+viewBox[2])/pixelRatio,(viewBox[3]+120)/pixelRatio]).slice()\r\n  this.titleEnable      = !('titleEnable' in options) || !!options.titleEnable\r\n  this.titleAngle       = options.titleAngle || 0\r\n  this.titleColor       = (options.titleColor || [0,0,0,1]).slice()\r\n\r\n  this.labelPad         = (options.labelPad || [15,15,15,15]).slice()\r\n  this.labelAngle       = (options.labelAngle ||\r\n    [0,Math.PI/2,0,3.0*Math.PI/2]).slice()\r\n  this.labelEnable      = (options.labelEnable || [true,true,true,true]).slice()\r\n  this.labelColor       = deepClone(options.labelColor ||\r\n    [[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]])\r\n\r\n  this.tickPad         = (options.tickPad || [15,15,15,15]).slice()\r\n  this.tickAngle       = (options.tickAngle || [0,0,0,0]).slice()\r\n  this.tickEnable      = (options.tickEnable || [true,true,true,true]).slice()\r\n  this.tickColor       = deepClone(options.tickColor ||\r\n    [[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]])\r\n\r\n  this.borderLineEnable = (options.borderLineEnable ||\r\n                            [true,true,true,true]).slice()\r\n  this.borderLineWidth  = (options.borderLineWidth || [2,2,2,2]).slice()\r\n  this.borderLineColor  = deepClone(options.borderLineColor ||\r\n                          [[0,0,0,1],\r\n                           [0,0,0,1],\r\n                           [0,0,0,1],\r\n                           [0,0,0,1]])\r\n\r\n  var ticks = options.ticks || [ [], [] ]\r\n\r\n  //Compute bounds on ticks\r\n  var bounds = this._tickBounds\r\n  bounds[0] = bounds[1] =  Infinity\r\n  bounds[2] = bounds[3] = -Infinity\r\n  for(var i=0; i<2; ++i) {\r\n    var axisTicks = ticks[i].slice(0)\r\n    if(axisTicks.length === 0) {\r\n      continue\r\n    }\r\n    axisTicks.sort(compareTicks)\r\n    bounds[i]   = Math.min(bounds[i], axisTicks[0].x)\r\n    bounds[i+2] = Math.max(bounds[i+2], axisTicks[axisTicks.length-1].x)\r\n  }\r\n\r\n  //Update grid\r\n  this.grid.update({\r\n    bounds: bounds,\r\n    ticks:  ticks\r\n  })\r\n\r\n  //Update text\r\n  this.text.update({\r\n    bounds:     bounds,\r\n    ticks:      ticks,\r\n    labels:     options.labels    || ['x', 'y'],\r\n    labelSize:  options.labelSize || [12,12],\r\n    labelFont:  options.labelFont || ['sans-serif', 'sans-serif'],\r\n    title:      options.title     || '',\r\n    titleSize:  options.titleSize || 18,\r\n    titleFont:  options.titleFont || 'sans-serif'\r\n  })\r\n\r\n  this.static = !!options.static;\r\n\r\n  this.setDirty()\r\n}\r\n\r\nproto.dispose = function() {\r\n  this.box.dispose()\r\n  this.grid.dispose()\r\n  this.text.dispose()\r\n  this.line.dispose()\r\n  for(var i=this.objects.length-1; i>=0; --i) {\r\n    this.objects[i].dispose()\r\n  }\r\n  this.objects.length = 0\r\n  for(var i=this.overlays.length-1; i>=0; --i) {\r\n    this.overlays[i].dispose()\r\n  }\r\n  this.overlays.length = 0\r\n\r\n  this.gl = null\r\n}\r\n\r\nproto.addObject = function(object) {\r\n  if(this.objects.indexOf(object) < 0) {\r\n    this.objects.push(object)\r\n    this.setDirty()\r\n  }\r\n}\r\n\r\nproto.removeObject = function(object) {\r\n  var objects = this.objects\r\n  for(var i=0; i<objects.length; ++i) {\r\n    if(objects[i] === object) {\r\n      objects.splice(i,1)\r\n      this.setDirty()\r\n      break\r\n    }\r\n  }\r\n}\r\n\r\nproto.addOverlay = function(object) {\r\n  if(this.overlays.indexOf(object) < 0) {\r\n    this.overlays.push(object)\r\n    this.setOverlayDirty()\r\n  }\r\n}\r\n\r\nproto.removeOverlay = function(object) {\r\n  var objects = this.overlays\r\n  for(var i=0; i<objects.length; ++i) {\r\n    if(objects[i] === object) {\r\n      objects.splice(i,1)\r\n      this.setOverlayDirty()\r\n      break\r\n    }\r\n  }\r\n}\r\n\r\nfunction createGLPlot2D(options) {\r\n  var gl = options.gl\r\n  var pickBuffer = createPick(gl, [\r\n    gl.drawingBufferWidth, gl.drawingBufferHeight])\r\n  var plot = new GLPlot2D(gl, pickBuffer)\r\n  plot.grid = createGrid(plot)\r\n  plot.text = createText(plot)\r\n  plot.line = createLine(plot)\r\n  plot.box  = createBox(plot)\r\n  plot.update(options)\r\n  return plot\r\n}\r\n\n},{\"./lib/box\":269,\"./lib/grid\":270,\"./lib/line\":271,\"./lib/text\":273,\"gl-select-static\":287}],276:[function(_dereq_,module,exports){\nvar glslify      = _dereq_('glslify')\r\nvar createShader = _dereq_('gl-shader')\r\n\r\nvar vertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"])\r\nvar fragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"])\r\n\r\nmodule.exports = function(gl) {\r\n  return createShader(gl, vertSrc, fragSrc, null, [ { name: 'position', type: 'vec2'}])\r\n}\r\n\n},{\"gl-shader\":288,\"glslify\":392}],277:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createScene\r\n\r\nvar createCamera = _dereq_('3d-view-controls')\r\nvar createAxes   = _dereq_('gl-axes3d')\r\nvar axesRanges   = _dereq_('gl-axes3d/properties')\r\nvar createSpikes = _dereq_('gl-spikes3d')\r\nvar createSelect = _dereq_('gl-select-static')\r\nvar createFBO    = _dereq_('gl-fbo')\r\nvar drawTriangle = _dereq_('a-big-triangle')\r\nvar mouseChange  = _dereq_('mouse-change')\r\nvar perspective  = _dereq_('gl-mat4/perspective')\r\nvar createShader = _dereq_('./lib/shader')\r\nvar isMobile = _dereq_('is-mobile')({ tablet: true })\r\n\r\nfunction MouseSelect() {\r\n  this.mouse          = [-1,-1]\r\n  this.screen         = null\r\n  this.distance       = Infinity\r\n  this.index          = null\r\n  this.dataCoordinate = null\r\n  this.dataPosition   = null\r\n  this.object         = null\r\n  this.data           = null\r\n}\r\n\r\nfunction getContext(canvas, options) {\r\n  var gl = null\r\n  try {\r\n    gl = canvas.getContext('webgl', options)\r\n    if(!gl) {\r\n      gl = canvas.getContext('experimental-webgl', options)\r\n    }\r\n  } catch(e) {\r\n    return null\r\n  }\r\n  return gl\r\n}\r\n\r\nfunction roundUpPow10(x) {\r\n  var y = Math.round(Math.log(Math.abs(x)) / Math.log(10))\r\n  if(y < 0) {\r\n    var base = Math.round(Math.pow(10, -y))\r\n    return Math.ceil(x*base) / base\r\n  } else if(y > 0) {\r\n    var base = Math.round(Math.pow(10, y))\r\n    return Math.ceil(x/base) * base\r\n  }\r\n  return Math.ceil(x)\r\n}\r\n\r\nfunction defaultBool(x) {\r\n  if(typeof x === 'boolean') {\r\n    return x\r\n  }\r\n  return true\r\n}\r\n\r\nfunction createScene(options) {\r\n  options = options || {}\r\n\r\n  var stopped = false\r\n\r\n  var pixelRatio = options.pixelRatio || parseFloat(window.devicePixelRatio)\r\n\r\n  var canvas = options.canvas\r\n  if(!canvas) {\r\n    canvas = document.createElement('canvas')\r\n    if(options.container) {\r\n      var container = options.container\r\n      container.appendChild(canvas)\r\n    } else {\r\n      document.body.appendChild(canvas)\r\n    }\r\n  }\r\n\r\n  var gl = options.gl\r\n  if(!gl) {\r\n    gl = getContext(canvas,\r\n      options.glOptions || {\r\n        premultipliedAlpha: true,\r\n        antialias: true,\r\n        preserveDrawingBuffer: isMobile\r\n      })\r\n  }\r\n  if(!gl) {\r\n    throw new Error('webgl not supported')\r\n  }\r\n\r\n  //Initial bounds\r\n  var bounds = options.bounds || [[-10,-10,-10], [10,10,10]]\r\n\r\n  //Create selection\r\n  var selection = new MouseSelect()\r\n\r\n  //Accumulation buffer\r\n  var accumBuffer = createFBO(gl,\r\n    [gl.drawingBufferWidth, gl.drawingBufferHeight], {\r\n      preferFloat: !isMobile\r\n    })\r\n\r\n  var accumShader = createShader(gl)\r\n\r\n  //Create a camera\r\n  var cameraOptions = options.camera || {\r\n    eye:    [2,0,0],\r\n    center: [0,0,0],\r\n    up:     [0,1,0],\r\n    zoomMin: 0.1,\r\n    zoomMax: 100,\r\n    mode:    'turntable'\r\n  }\r\n\r\n  //Create axes\r\n  var axesOptions = options.axes || {}\r\n  var axes = createAxes(gl, axesOptions)\r\n  axes.enable = !axesOptions.disable\r\n\r\n  //Create spikes\r\n  var spikeOptions = options.spikes || {}\r\n  var spikes = createSpikes(gl, spikeOptions)\r\n\r\n  //Object list is empty initially\r\n  var objects         = []\r\n  var pickBufferIds   = []\r\n  var pickBufferCount = []\r\n  var pickBuffers     = []\r\n\r\n  //Dirty flag, skip redraw if scene static\r\n  var dirty       = true\r\n  var pickDirty   = true\r\n\r\n  var projection     = new Array(16)\r\n  var model          = new Array(16)\r\n\r\n  var cameraParams = {\r\n    view:         null,\r\n    projection:   projection,\r\n    model:        model\r\n  }\r\n\r\n  var pickDirty = true\r\n\r\n  var viewShape = [ gl.drawingBufferWidth, gl.drawingBufferHeight ]\r\n\r\n  //Create scene object\r\n  var scene = {\r\n    gl:           gl,\r\n    contextLost:  false,\r\n    pixelRatio:   options.pixelRatio || parseFloat(window.devicePixelRatio),\r\n    canvas:       canvas,\r\n    selection:    selection,\r\n    camera:       createCamera(canvas, cameraOptions),\r\n    axes:         axes,\r\n    axesPixels:   null,\r\n    spikes:       spikes,\r\n    bounds:       bounds,\r\n    objects:      objects,\r\n    shape:        viewShape,\r\n    aspect:       options.aspectRatio || [1,1,1],\r\n    pickRadius:   options.pickRadius || 10,\r\n    zNear:        options.zNear || 0.01,\r\n    zFar:         options.zFar  || 1000,\r\n    fovy:         options.fovy  || Math.PI/4,\r\n    clearColor:   options.clearColor || [0,0,0,0],\r\n    autoResize:   defaultBool(options.autoResize),\r\n    autoBounds:   defaultBool(options.autoBounds),\r\n    autoScale:    !!options.autoScale,\r\n    autoCenter:   defaultBool(options.autoCenter),\r\n    clipToBounds: defaultBool(options.clipToBounds),\r\n    snapToData:   !!options.snapToData,\r\n    onselect:     options.onselect || null,\r\n    onrender:     options.onrender || null,\r\n    onclick:      options.onclick  || null,\r\n    cameraParams: cameraParams,\r\n    oncontextloss: null,\r\n    mouseListener: null\r\n  }\r\n\r\n  var pickShape = [ (gl.drawingBufferWidth/scene.pixelRatio)|0, (gl.drawingBufferHeight/scene.pixelRatio)|0 ]\r\n\r\n  function resizeListener() {\r\n    if(stopped) {\r\n      return\r\n    }\r\n    if(!scene.autoResize) {\r\n      return\r\n    }\r\n    var parent = canvas.parentNode\r\n    var width  = 1\r\n    var height = 1\r\n    if(parent && parent !== document.body) {\r\n      width  = parent.clientWidth\r\n      height = parent.clientHeight\r\n    } else {\r\n      width  = window.innerWidth\r\n      height = window.innerHeight\r\n    }\r\n    var nextWidth  = Math.ceil(width  * scene.pixelRatio)|0\r\n    var nextHeight = Math.ceil(height * scene.pixelRatio)|0\r\n    if(nextWidth !== canvas.width || nextHeight !== canvas.height) {\r\n      canvas.width   = nextWidth\r\n      canvas.height  = nextHeight\r\n      var style = canvas.style\r\n      style.position = style.position || 'absolute'\r\n      style.left     = '0px'\r\n      style.top      = '0px'\r\n      style.width    = width  + 'px'\r\n      style.height   = height + 'px'\r\n      dirty = true\r\n    }\r\n  }\r\n  if(scene.autoResize) {\r\n    resizeListener()\r\n  }\r\n  window.addEventListener('resize', resizeListener)\r\n\r\n  function reallocPickIds() {\r\n    var numObjs = objects.length\r\n    var numPick = pickBuffers.length\r\n    for(var i=0; i<numPick; ++i) {\r\n      pickBufferCount[i] = 0\r\n    }\r\n    obj_loop:\r\n    for(var i=0; i<numObjs; ++i) {\r\n      var obj = objects[i]\r\n      var pickCount = obj.pickSlots\r\n      if(!pickCount) {\r\n        pickBufferIds[i] = -1\r\n        continue\r\n      }\r\n      for(var j=0; j<numPick; ++j) {\r\n        if(pickBufferCount[j] + pickCount < 255) {\r\n          pickBufferIds[i] = j\r\n          obj.setPickBase(pickBufferCount[j]+1)\r\n          pickBufferCount[j] += pickCount\r\n          continue obj_loop\r\n        }\r\n      }\r\n      //Create new pick buffer\r\n      var nbuffer = createSelect(gl, viewShape)\r\n      pickBufferIds[i] = numPick\r\n      pickBuffers.push(nbuffer)\r\n      pickBufferCount.push(pickCount)\r\n      obj.setPickBase(1)\r\n      numPick += 1\r\n    }\r\n    while(numPick > 0 && pickBufferCount[numPick-1] === 0) {\r\n      pickBufferCount.pop()\r\n      pickBuffers.pop().dispose()\r\n    }\r\n  }\r\n\r\n  scene.update = function(options) {\r\n    if(stopped) {\r\n      return\r\n    }\r\n    options = options || {}\r\n    dirty = true\r\n    pickDirty = true\r\n  }\r\n\r\n  scene.add = function(obj) {\r\n    if(stopped) {\r\n      return\r\n    }\r\n    obj.axes = axes\r\n    objects.push(obj)\r\n    pickBufferIds.push(-1)\r\n    dirty = true\r\n    pickDirty = true\r\n    reallocPickIds()\r\n  }\r\n\r\n  scene.remove = function(obj) {\r\n    if(stopped) {\r\n      return\r\n    }\r\n    var idx = objects.indexOf(obj)\r\n    if(idx < 0) {\r\n      return\r\n    }\r\n    objects.splice(idx, 1)\r\n    pickBufferIds.pop()\r\n    dirty = true\r\n    pickDirty = true\r\n    reallocPickIds()\r\n  }\r\n\r\n  scene.dispose = function() {\r\n    if(stopped) {\r\n      return\r\n    }\r\n\r\n    stopped = true\r\n\r\n    window.removeEventListener('resize', resizeListener)\r\n    canvas.removeEventListener('webglcontextlost', checkContextLoss)\r\n    scene.mouseListener.enabled = false\r\n\r\n    if(scene.contextLost) {\r\n      return\r\n    }\r\n\r\n    //Destroy objects\r\n    axes.dispose()\r\n    spikes.dispose()\r\n    for(var i=0; i<objects.length; ++i) {\r\n      objects[i].dispose()\r\n    }\r\n\r\n    //Clean up buffers\r\n    accumBuffer.dispose()\r\n    for(var i=0; i<pickBuffers.length; ++i) {\r\n      pickBuffers[i].dispose()\r\n    }\r\n\r\n    //Clean up shaders\r\n    accumShader.dispose()\r\n\r\n    //Release all references\r\n    gl = null\r\n    axes = null\r\n    spikes = null\r\n    objects = []\r\n  }\r\n\r\n  //Update mouse position\r\n  var mouseRotating = false\r\n\r\n  var prevButtons = 0\r\n\r\n  scene.mouseListener = mouseChange(canvas, function(buttons, x, y) {\r\n    if(stopped) {\r\n      return\r\n    }\r\n\r\n    var numPick = pickBuffers.length\r\n    var numObjs = objects.length\r\n    var prevObj = selection.object\r\n\r\n    selection.distance = Infinity\r\n    selection.mouse[0] = x\r\n    selection.mouse[1] = y\r\n    selection.object = null\r\n    selection.screen = null\r\n    selection.dataCoordinate = selection.dataPosition = null\r\n\r\n    var change = false\r\n\r\n    if(buttons && prevButtons) {\r\n      mouseRotating = true\r\n    } else {\r\n      if(mouseRotating) {\r\n        pickDirty = true\r\n      }\r\n      mouseRotating = false\r\n\r\n      for(var i=0; i<numPick; ++i) {\r\n        var result = pickBuffers[i].query(x, pickShape[1] - y - 1, scene.pickRadius)\r\n        if(result) {\r\n          if(result.distance > selection.distance) {\r\n            continue\r\n          }\r\n          for(var j=0; j<numObjs; ++j) {\r\n            var obj = objects[j]\r\n            if(pickBufferIds[j] !== i) {\r\n              continue\r\n            }\r\n            var objPick = obj.pick(result)\r\n            if(objPick) {\r\n              selection.buttons        = buttons\r\n              selection.screen         = result.coord\r\n              selection.distance       = result.distance\r\n              selection.object         = obj\r\n              selection.index          = objPick.distance\r\n              selection.dataPosition   = objPick.position\r\n              selection.dataCoordinate = objPick.dataCoordinate\r\n              selection.data           = objPick\r\n              change = true\r\n            }\r\n          }\r\n        }\r\n      }\r\n    }\r\n\r\n    if(prevObj && prevObj !== selection.object) {\r\n      if(prevObj.highlight) {\r\n        prevObj.highlight(null)\r\n      }\r\n      dirty = true\r\n    }\r\n    if(selection.object) {\r\n      if(selection.object.highlight) {\r\n        selection.object.highlight(selection.data)\r\n      }\r\n      dirty = true\r\n    }\r\n\r\n    change = change || (selection.object !== prevObj)\r\n    if(change && scene.onselect) {\r\n      scene.onselect(selection)\r\n    }\r\n\r\n    if((buttons & 1) && !(prevButtons & 1) && scene.onclick) {\r\n      scene.onclick(selection)\r\n    }\r\n    prevButtons = buttons\r\n  })\r\n\r\n  function checkContextLoss() {\r\n    if(scene.contextLost) {\r\n      return true\r\n    }\r\n    if(gl.isContextLost()) {\r\n      scene.contextLost = true\r\n      scene.mouseListener.enabled = false\r\n      scene.selection.object = null\r\n      if(scene.oncontextloss) {\r\n        scene.oncontextloss()\r\n      }\r\n    }\r\n  }\r\n\r\n  canvas.addEventListener('webglcontextlost', checkContextLoss)\r\n\r\n  //Render the scene for mouse picking\r\n  function renderPick() {\r\n    if(checkContextLoss()) {\r\n      return\r\n    }\r\n\r\n    gl.colorMask(true, true, true, true)\r\n    gl.depthMask(true)\r\n    gl.disable(gl.BLEND)\r\n    gl.enable(gl.DEPTH_TEST)\r\n\r\n    var numObjs = objects.length\r\n    var numPick = pickBuffers.length\r\n    for(var j=0; j<numPick; ++j) {\r\n      var buf = pickBuffers[j]\r\n      buf.shape = pickShape\r\n      buf.begin()\r\n      for(var i=0; i<numObjs; ++i) {\r\n        if(pickBufferIds[i] !== j) {\r\n          continue\r\n        }\r\n        var obj = objects[i]\r\n        if(obj.drawPick) {\r\n          obj.pixelRatio = 1\r\n          obj.drawPick(cameraParams)\r\n        }\r\n      }\r\n      buf.end()\r\n    }\r\n  }\r\n\r\n  var nBounds = [\r\n    [ Infinity, Infinity, Infinity],\r\n    [-Infinity,-Infinity,-Infinity]]\r\n\r\n  var prevBounds = [nBounds[0].slice(), nBounds[1].slice()]\r\n\r\n  function redraw() {\r\n    if(checkContextLoss()) {\r\n      return\r\n    }\r\n\r\n    resizeListener()\r\n\r\n    //Tick camera\r\n    var cameraMoved = scene.camera.tick()\r\n    cameraParams.view = scene.camera.matrix\r\n    dirty     = dirty || cameraMoved\r\n    pickDirty = pickDirty || cameraMoved\r\n\r\n      //Set pixel ratio\r\n    axes.pixelRatio   = scene.pixelRatio\r\n    spikes.pixelRatio = scene.pixelRatio\r\n\r\n    //Check if any objects changed, recalculate bounds\r\n    var numObjs = objects.length\r\n    var lo = nBounds[0]\r\n    var hi = nBounds[1]\r\n    lo[0] = lo[1] = lo[2] =  Infinity\r\n    hi[0] = hi[1] = hi[2] = -Infinity\r\n    for(var i=0; i<numObjs; ++i) {\r\n      var obj = objects[i]\r\n\r\n      //Set the axes properties for each object\r\n      obj.pixelRatio = scene.pixelRatio\r\n      obj.axes = scene.axes\r\n\r\n      dirty = dirty || !!obj.dirty\r\n      pickDirty = pickDirty || !!obj.dirty\r\n      var obb = obj.bounds\r\n      if(obb) {\r\n        var olo = obb[0]\r\n        var ohi = obb[1]\r\n        for(var j=0; j<3; ++j) {\r\n          lo[j] = Math.min(lo[j], olo[j])\r\n          hi[j] = Math.max(hi[j], ohi[j])\r\n        }\r\n      }\r\n    }\r\n\r\n    //Recalculate bounds\r\n    var bounds = scene.bounds\r\n    if(scene.autoBounds) {\r\n      for(var j=0; j<3; ++j) {\r\n        if(hi[j] < lo[j]) {\r\n          lo[j] = -1\r\n          hi[j] = 1\r\n        } else {\r\n          if(lo[j] === hi[j]) {\r\n            lo[j] -= 1\r\n            hi[j] += 1\r\n          }\r\n          var padding = 0.05 * (hi[j] - lo[j])\r\n          lo[j] = lo[j] - padding\r\n          hi[j] = hi[j] + padding\r\n        }\r\n        bounds[0][j] = lo[j]\r\n        bounds[1][j] = hi[j]\r\n      }\r\n    }\r\n\r\n    var boundsChanged = false\r\n    for(var j=0; j<3; ++j) {\r\n        boundsChanged = boundsChanged ||\r\n            (prevBounds[0][j] !== bounds[0][j])  ||\r\n            (prevBounds[1][j] !== bounds[1][j])\r\n        prevBounds[0][j] = bounds[0][j]\r\n        prevBounds[1][j] = bounds[1][j]\r\n    }\r\n\r\n    //Recalculate bounds\r\n    pickDirty = pickDirty || boundsChanged\r\n    dirty = dirty || boundsChanged\r\n\r\n    if(!dirty) {\r\n      return\r\n    }\r\n\r\n    if(boundsChanged) {\r\n      var tickSpacing = [0,0,0]\r\n      for(var i=0; i<3; ++i) {\r\n        tickSpacing[i] = roundUpPow10((bounds[1][i]-bounds[0][i]) / 10.0)\r\n      }\r\n      if(axes.autoTicks) {\r\n        axes.update({\r\n          bounds: bounds,\r\n          tickSpacing: tickSpacing\r\n        })\r\n      } else {\r\n        axes.update({\r\n          bounds: bounds\r\n        })\r\n      }\r\n    }\r\n\r\n    //Get scene\r\n    var width  = gl.drawingBufferWidth\r\n    var height = gl.drawingBufferHeight\r\n    viewShape[0] = width\r\n    viewShape[1] = height\r\n    pickShape[0] = Math.max(width/scene.pixelRatio, 1)|0\r\n    pickShape[1] = Math.max(height/scene.pixelRatio, 1)|0\r\n\r\n    //Compute camera parameters\r\n    perspective(projection,\r\n      scene.fovy,\r\n      width/height,\r\n      scene.zNear,\r\n      scene.zFar)\r\n\r\n    //Compute model matrix\r\n    for(var i=0; i<16; ++i) {\r\n      model[i] = 0\r\n    }\r\n    model[15] = 1\r\n\r\n    var maxS = 0\r\n    for(var i=0; i<3; ++i) {\r\n      maxS = Math.max(maxS, bounds[1][i] - bounds[0][i])\r\n    }\r\n\r\n    for(var i=0; i<3; ++i) {\r\n      if(scene.autoScale) {\r\n        model[5*i] = scene.aspect[i] / (bounds[1][i] - bounds[0][i])\r\n      } else {\r\n        model[5*i] = 1  / maxS\r\n      }\r\n      if(scene.autoCenter) {\r\n        model[12+i] = -model[5*i] * 0.5 * (bounds[0][i] + bounds[1][i])\r\n      }\r\n    }\r\n\r\n    //Apply axes/clip bounds\r\n    for(var i=0; i<numObjs; ++i) {\r\n      var obj = objects[i]\r\n\r\n      //Set axes bounds\r\n      obj.axesBounds = bounds\r\n\r\n      //Set clip bounds\r\n      if(scene.clipToBounds) {\r\n        obj.clipBounds = bounds\r\n      }\r\n    }\r\n    //Set spike parameters\r\n    if(selection.object) {\r\n      if(scene.snapToData) {\r\n        spikes.position = selection.dataCoordinate\r\n      } else {\r\n        spikes.position = selection.dataPosition\r\n      }\r\n      spikes.bounds = bounds\r\n    }\r\n\r\n    //If state changed, then redraw pick buffers\r\n    if(pickDirty) {\r\n      pickDirty = false\r\n      renderPick()\r\n    }\r\n\r\n    //Recalculate pixel data\r\n    scene.axesPixels = axesRanges(scene.axes, cameraParams, width, height)\r\n\r\n    //Call render callback\r\n    if(scene.onrender) {\r\n      scene.onrender()\r\n    }\r\n\r\n    //Read value\r\n    gl.bindFramebuffer(gl.FRAMEBUFFER, null)\r\n    gl.viewport(0, 0, width, height)\r\n\r\n    //General strategy: 3 steps\r\n    //  1. render non-transparent objects\r\n    //  2. accumulate transparent objects into separate fbo\r\n    //  3. composite final scene\r\n\r\n    //Clear FBO\r\n    var clearColor = scene.clearColor\r\n    gl.clearColor(clearColor[0], clearColor[1], clearColor[2], clearColor[3])\r\n    gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT)\r\n    gl.depthMask(true)\r\n    gl.colorMask(true, true, true, true)\r\n    gl.enable(gl.DEPTH_TEST)\r\n    gl.depthFunc(gl.LEQUAL)\r\n    gl.disable(gl.BLEND)\r\n    gl.disable(gl.CULL_FACE)  //most visualization surfaces are 2 sided\r\n\r\n    //Render opaque pass\r\n    var hasTransparent = false\r\n    if(axes.enable) {\r\n      hasTransparent = hasTransparent || axes.isTransparent()\r\n      axes.draw(cameraParams)\r\n    }\r\n    spikes.axes = axes\r\n    if(selection.object) {\r\n      spikes.draw(cameraParams)\r\n    }\r\n\r\n    gl.disable(gl.CULL_FACE)  //most visualization surfaces are 2 sided\r\n\r\n    for(var i=0; i<numObjs; ++i) {\r\n      var obj = objects[i]\r\n      obj.axes = axes\r\n      obj.pixelRatio = scene.pixelRatio\r\n      if(obj.isOpaque && obj.isOpaque()) {\r\n        obj.draw(cameraParams)\r\n      }\r\n      if(obj.isTransparent && obj.isTransparent()) {\r\n        hasTransparent = true\r\n      }\r\n    }\r\n\r\n    if(hasTransparent) {\r\n      //Render transparent pass\r\n      accumBuffer.shape = viewShape\r\n      accumBuffer.bind()\r\n      gl.clear(gl.DEPTH_BUFFER_BIT)\r\n      gl.colorMask(false, false, false, false)\r\n      gl.depthMask(true)\r\n      gl.depthFunc(gl.LESS)\r\n\r\n      //Render forward facing objects\r\n      if(axes.enable && axes.isTransparent()) {\r\n        axes.drawTransparent(cameraParams)\r\n      }\r\n      for(var i=0; i<numObjs; ++i) {\r\n        var obj = objects[i]\r\n        if(obj.isOpaque && obj.isOpaque()) {\r\n          obj.draw(cameraParams)\r\n        }\r\n      }\r\n\r\n      //Render transparent pass\r\n      gl.enable(gl.BLEND)\r\n      gl.blendEquation(gl.FUNC_ADD)\r\n      gl.blendFunc(gl.ONE, gl.ONE_MINUS_SRC_ALPHA)\r\n      gl.colorMask(true, true, true, true)\r\n      gl.depthMask(false)\r\n      gl.clearColor(0,0,0,0)\r\n      gl.clear(gl.COLOR_BUFFER_BIT)\r\n\r\n      if(axes.isTransparent()) {\r\n        axes.drawTransparent(cameraParams)\r\n      }\r\n\r\n      for(var i=0; i<numObjs; ++i) {\r\n        var obj = objects[i]\r\n        if(obj.isTransparent && obj.isTransparent()) {\r\n          obj.drawTransparent(cameraParams)\r\n        }\r\n      }\r\n\r\n      //Unbind framebuffer\r\n      gl.bindFramebuffer(gl.FRAMEBUFFER, null)\r\n\r\n      //Draw composite pass\r\n      gl.blendFunc(gl.ONE, gl.ONE_MINUS_SRC_ALPHA)\r\n      gl.disable(gl.DEPTH_TEST)\r\n      accumShader.bind()\r\n      accumBuffer.color[0].bind(0)\r\n      accumShader.uniforms.accumBuffer = 0\r\n      drawTriangle(gl)\r\n\r\n      //Turn off blending\r\n      gl.disable(gl.BLEND)\r\n    }\r\n\r\n    //Clear dirty flags\r\n    dirty = false\r\n    for(var i=0; i<numObjs; ++i) {\r\n      objects[i].dirty = false\r\n    }\r\n  }\r\n\r\n\r\n  //Draw the whole scene\r\n  function render() {\r\n    if(stopped || scene.contextLost) {\r\n      return\r\n    }\r\n    // this order is important: ios safari sometimes has sync raf\r\n    redraw()\r\n    requestAnimationFrame(render)\r\n  }\r\n  render()\r\n\r\n  //Force redraw of whole scene\r\n  scene.redraw = function() {\r\n    if(stopped) {\r\n      return\r\n    }\r\n    dirty = true\r\n    redraw()\r\n  }\r\n\r\n  return scene\r\n}\r\n\n},{\"./lib/shader\":276,\"3d-view-controls\":44,\"a-big-triangle\":47,\"gl-axes3d\":222,\"gl-axes3d/properties\":229,\"gl-fbo\":239,\"gl-mat4/perspective\":257,\"gl-select-static\":287,\"gl-spikes3d\":297,\"is-mobile\":403,\"mouse-change\":418}],278:[function(_dereq_,module,exports){\nvar glslify = _dereq_('glslify')\r\n\r\nexports.pointVertex       = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"])\r\nexports.pointFragment     = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"])\r\nexports.pickVertex        = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"])\r\nexports.pickFragment      = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])\r\n\n},{\"glslify\":392}],279:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar createShader = _dereq_('gl-shader')\r\nvar createBuffer = _dereq_('gl-buffer')\r\n\r\nvar pool = _dereq_('typedarray-pool')\r\n\r\nvar SHADERS = _dereq_('./lib/shader')\r\n\r\nmodule.exports = createPointcloud2D\r\n\r\nfunction Pointcloud2D(plot, offsetBuffer, pickBuffer, shader, pickShader) {\r\n  this.plot           = plot\r\n  this.offsetBuffer   = offsetBuffer\r\n  this.pickBuffer     = pickBuffer\r\n  this.shader         = shader\r\n  this.pickShader     = pickShader\r\n  this.sizeMin        = 0.5\r\n  this.sizeMinCap     = 2\r\n  this.sizeMax        = 20\r\n  this.areaRatio      = 1.0\r\n  this.pointCount     = 0\r\n  this.color          = [1, 0, 0, 1]\r\n  this.borderColor    = [0, 0, 0, 1]\r\n  this.blend          = false\r\n  this.pickOffset     = 0\r\n  this.points         = null\r\n}\r\n\r\nvar proto = Pointcloud2D.prototype\r\n\r\nproto.dispose = function() {\r\n  this.shader.dispose()\r\n  this.pickShader.dispose()\r\n  this.offsetBuffer.dispose()\r\n  this.pickBuffer.dispose()\r\n  this.plot.removeObject(this)\r\n}\r\n\r\nproto.update = function(options) {\r\n\r\n  var i\r\n\r\n  options = options || {}\r\n\r\n  function dflt(opt, value) {\r\n    if(opt in options) {\r\n      return options[opt]\r\n    }\r\n    return value\r\n  }\r\n\r\n  this.sizeMin      = dflt('sizeMin', 0.5)\r\n  // this.sizeMinCap      = dflt('sizeMinCap', 2)\r\n  this.sizeMax      = dflt('sizeMax', 20)\r\n  this.color        = dflt('color', [1, 0, 0, 1]).slice()\r\n  this.areaRatio    = dflt('areaRatio', 1)\r\n  this.borderColor  = dflt('borderColor', [0, 0, 0, 1]).slice()\r\n  this.blend        = dflt('blend', false)\r\n\r\n  //Update point data\r\n\r\n  // Attempt straight-through processing (STP) to avoid allocation and copy\r\n  // TODO eventually abstract out STP logic, maybe into `pool` or a layer above\r\n  var pointCount = options.positions.length >>> 1\r\n  var dataStraightThrough = options.positions instanceof Float32Array\r\n  var idStraightThrough = options.idToIndex instanceof Int32Array && options.idToIndex.length >= pointCount // permit larger to help reuse\r\n\r\n  var data          = options.positions\r\n  var packed        = dataStraightThrough ? data : pool.mallocFloat32(data.length)\r\n  var packedId      = idStraightThrough ? options.idToIndex : pool.mallocInt32(pointCount)\r\n\r\n  if(!dataStraightThrough) {\r\n    packed.set(data)\r\n  }\r\n\r\n  if(!idStraightThrough) {\r\n    packed.set(data)\r\n    for(i = 0; i < pointCount; i++) {\r\n      packedId[i] = i\r\n    }\r\n  }\r\n\r\n  this.points       = data\r\n\r\n  this.offsetBuffer.update(packed)\r\n  this.pickBuffer.update(packedId)\r\n\r\n  if(!dataStraightThrough) {\r\n    pool.free(packed)\r\n  }\r\n\r\n  if(!idStraightThrough) {\r\n    pool.free(packedId)\r\n  }\r\n\r\n  this.pointCount = pointCount\r\n  this.pickOffset = 0\r\n}\r\n\r\nfunction count(points, dataBox) {\r\n  var visiblePointCountEstimate = 0\r\n  var length = points.length >>> 1\r\n  var i\r\n  for(i = 0; i < length; i++) {\r\n    var x = points[i * 2]\r\n    var y = points[i * 2 + 1]\r\n    if(x >= dataBox[0] && x <= dataBox[2] && y >= dataBox[1] && y <= dataBox[3])\r\n      visiblePointCountEstimate++\r\n  }\r\n  return visiblePointCountEstimate\r\n}\r\n\r\nproto.unifiedDraw = (function() {\r\n  var MATRIX = [1, 0, 0,\r\n                0, 1, 0,\r\n                0, 0, 1]\r\n  var PICK_VEC4 = [0, 0, 0, 0]\r\nreturn function(pickOffset) {\r\n  var pick = pickOffset !== void(0)\r\n\r\n  var shader        = pick ? this.pickShader : this.shader\r\n  var gl            = this.plot.gl\r\n  var dataBox       = this.plot.dataBox\r\n\r\n  if(this.pointCount === 0) {\r\n    return pickOffset\r\n  }\r\n\r\n  var dataX   = dataBox[2] - dataBox[0]\r\n  var dataY   = dataBox[3] - dataBox[1]\r\n\r\n  var visiblePointCountEstimate = count(this.points, dataBox)\r\n  var basicPointSize =  this.plot.pickPixelRatio * Math.max(Math.min(this.sizeMinCap, this.sizeMin), Math.min(this.sizeMax, this.sizeMax / Math.pow(visiblePointCountEstimate, 0.33333)))\r\n\r\n  MATRIX[0] = 2.0 / dataX\r\n  MATRIX[4] = 2.0 / dataY\r\n  MATRIX[6] = -2.0 * dataBox[0] / dataX - 1.0\r\n  MATRIX[7] = -2.0 * dataBox[1] / dataY - 1.0\r\n\r\n  this.offsetBuffer.bind()\r\n\r\n  shader.bind()\r\n  shader.attributes.position.pointer()\r\n  shader.uniforms.matrix      = MATRIX\r\n  shader.uniforms.color       = this.color\r\n  shader.uniforms.borderColor = this.borderColor\r\n  shader.uniforms.pointCloud = basicPointSize < 5\r\n  shader.uniforms.pointSize = basicPointSize\r\n  shader.uniforms.centerFraction = Math.min(1, Math.max(0, Math.sqrt(1 - this.areaRatio)))\r\n\r\n  if(pick) {\r\n\r\n    PICK_VEC4[0] = ( pickOffset        & 0xff)\r\n    PICK_VEC4[1] = ((pickOffset >> 8)  & 0xff)\r\n    PICK_VEC4[2] = ((pickOffset >> 16) & 0xff)\r\n    PICK_VEC4[3] = ((pickOffset >> 24) & 0xff)\r\n\r\n    this.pickBuffer.bind()\r\n    shader.attributes.pickId.pointer(gl.UNSIGNED_BYTE)\r\n    shader.uniforms.pickOffset = PICK_VEC4\r\n    this.pickOffset = pickOffset\r\n  }\r\n\r\n  // Worth switching these off, but we can't make assumptions about other\r\n  // renderers, so let's restore it after each draw\r\n  var blend = gl.getParameter(gl.BLEND)\r\n  var dither = gl.getParameter(gl.DITHER)\r\n\r\n  if(blend && !this.blend)\r\n    gl.disable(gl.BLEND)\r\n  if(dither)\r\n    gl.disable(gl.DITHER)\r\n\r\n  gl.drawArrays(gl.POINTS, 0, this.pointCount)\r\n\r\n  if(blend && !this.blend)\r\n    gl.enable(gl.BLEND)\r\n  if(dither)\r\n    gl.enable(gl.DITHER)\r\n\r\n  return pickOffset + this.pointCount\r\n}\r\n})()\r\n\r\nproto.draw = proto.unifiedDraw\r\nproto.drawPick = proto.unifiedDraw\r\n\r\nproto.pick = function(x, y, value) {\r\n  var pickOffset = this.pickOffset\r\n  var pointCount = this.pointCount\r\n  if(value < pickOffset || value >= pickOffset + pointCount) {\r\n    return null\r\n  }\r\n  var pointId = value - pickOffset\r\n  var points = this.points\r\n  return {\r\n    object: this,\r\n    pointId: pointId,\r\n    dataCoord: [points[2 * pointId], points[2 * pointId + 1] ]\r\n  }\r\n}\r\n\r\nfunction createPointcloud2D(plot, options) {\r\n  var gl = plot.gl\r\n  var buffer = createBuffer(gl)\r\n  var pickBuffer = createBuffer(gl)\r\n  var shader = createShader(gl, SHADERS.pointVertex, SHADERS.pointFragment)\r\n  var pickShader = createShader(gl, SHADERS.pickVertex, SHADERS.pickFragment)\r\n\r\n  var result = new Pointcloud2D(plot, buffer, pickBuffer, shader, pickShader)\r\n  result.update(options)\r\n\r\n  //Register with plot\r\n  plot.addObject(result)\r\n\r\n  return result\r\n}\r\n\n},{\"./lib/shader\":278,\"gl-buffer\":230,\"gl-shader\":288,\"typedarray-pool\":522}],280:[function(_dereq_,module,exports){\nmodule.exports = slerp\n\n/**\n * Performs a spherical linear interpolation between two quat\n *\n * @param {quat} out the receiving quaternion\n * @param {quat} a the first operand\n * @param {quat} b the second operand\n * @param {Number} t interpolation amount between the two inputs\n * @returns {quat} out\n */\nfunction slerp (out, a, b, t) {\n  // benchmarks:\n  //    http://jsperf.com/quaternion-slerp-implementations\n\n  var ax = a[0], ay = a[1], az = a[2], aw = a[3],\n    bx = b[0], by = b[1], bz = b[2], bw = b[3]\n\n  var omega, cosom, sinom, scale0, scale1\n\n  // calc cosine\n  cosom = ax * bx + ay * by + az * bz + aw * bw\n  // adjust signs (if necessary)\n  if (cosom < 0.0) {\n    cosom = -cosom\n    bx = -bx\n    by = -by\n    bz = -bz\n    bw = -bw\n  }\n  // calculate coefficients\n  if ((1.0 - cosom) > 0.000001) {\n    // standard case (slerp)\n    omega = Math.acos(cosom)\n    sinom = Math.sin(omega)\n    scale0 = Math.sin((1.0 - t) * omega) / sinom\n    scale1 = Math.sin(t * omega) / sinom\n  } else {\n    // \"from\" and \"to\" quaternions are very close\n    //  ... so we can do a linear interpolation\n    scale0 = 1.0 - t\n    scale1 = t\n  }\n  // calculate final values\n  out[0] = scale0 * ax + scale1 * bx\n  out[1] = scale0 * ay + scale1 * by\n  out[2] = scale0 * az + scale1 * bz\n  out[3] = scale0 * aw + scale1 * bw\n\n  return out\n}\n\n},{}],281:[function(_dereq_,module,exports){\n'use strict';\n\nmodule.exports = function(a){\n  return (!a && a !== 0) ? '' : a.toString();\n}\n\n},{}],282:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar vectorizeText = _dereq_(\"vectorize-text\")\n\nmodule.exports = getGlyph\n\nvar GLYPH_CACHE = {}\n\nfunction getGlyph(symbol, font) {\n  var fontCache = GLYPH_CACHE[font]\n  if(!fontCache) {\n    fontCache = GLYPH_CACHE[font] = {}\n  }\n  if(symbol in fontCache) {\n    return fontCache[symbol]\n  }\n\n  //Get line and triangle meshes for glyph\n  var lineSymbol = vectorizeText(symbol, {\n      textAlign: \"center\",\n      textBaseline: \"middle\",\n      lineHeight: 1.0,\n      font: font\n    })\n  var triSymbol = vectorizeText(symbol, {\n      triangles: true,\n      textAlign: \"center\",\n      textBaseline: \"middle\",\n      lineHeight: 1.0,\n      font: font\n    }) \n\n  //Calculate bounding box\n  var bounds = [[Infinity,Infinity], [-Infinity,-Infinity]]\n  for(var i=0; i<lineSymbol.positions.length; ++i) {\n    var p = lineSymbol.positions[i]\n    for(var j=0; j<2; ++j) {\n      bounds[0][j] = Math.min(bounds[0][j], p[j])\n      bounds[1][j] = Math.max(bounds[1][j], p[j])\n    }\n  }\n\n  //Save cached symbol\n  return fontCache[symbol] = [triSymbol, lineSymbol, bounds]\n}\n},{\"vectorize-text\":527}],283:[function(_dereq_,module,exports){\nvar createShaderWrapper = _dereq_('gl-shader')\nvar glslify = _dereq_('glslify')\n\nvar perspectiveVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"])\nvar orthographicVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"])\nvar projectionVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"])\nvar drawFragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"])\nvar pickFragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"])\n\nvar ATTRIBUTES = [\n  {name: 'position', type: 'vec3'},\n  {name: 'color', type: 'vec4'},\n  {name: 'glyph', type: 'vec2'},\n  {name: 'id', type: 'vec4'}\n]\n\nvar perspective = {\n    vertex: perspectiveVertSrc,\n    fragment: drawFragSrc,\n    attributes: ATTRIBUTES\n  },\n  ortho = {\n    vertex: orthographicVertSrc,\n    fragment: drawFragSrc,\n    attributes: ATTRIBUTES\n  },\n  project = {\n    vertex: projectionVertSrc,\n    fragment: drawFragSrc,\n    attributes: ATTRIBUTES\n  },\n  pickPerspective = {\n    vertex: perspectiveVertSrc,\n    fragment: pickFragSrc,\n    attributes: ATTRIBUTES\n  },\n  pickOrtho = {\n    vertex: orthographicVertSrc,\n    fragment: pickFragSrc,\n    attributes: ATTRIBUTES\n  },\n  pickProject = {\n    vertex: projectionVertSrc,\n    fragment: pickFragSrc,\n    attributes: ATTRIBUTES\n  }\n\nfunction createShader(gl, src) {\n  var shader = createShaderWrapper(gl, src)\n  var attr = shader.attributes\n  attr.position.location = 0\n  attr.color.location = 1\n  attr.glyph.location = 2\n  attr.id.location = 3\n  return shader\n}\n\nexports.createPerspective = function(gl) {\n  return createShader(gl, perspective)\n}\nexports.createOrtho = function(gl) {\n  return createShader(gl, ortho)\n}\nexports.createProject = function(gl) {\n  return createShader(gl, project)\n}\nexports.createPickPerspective = function(gl) {\n  return createShader(gl, pickPerspective)\n}\nexports.createPickOrtho = function(gl) {\n  return createShader(gl, pickOrtho)\n}\nexports.createPickProject = function(gl) {\n  return createShader(gl, pickProject)\n}\n\n},{\"gl-shader\":288,\"glslify\":392}],284:[function(_dereq_,module,exports){\n'use strict'\n\nvar isAllBlank      = _dereq_('is-string-blank')\nvar createBuffer    = _dereq_('gl-buffer')\nvar createVAO       = _dereq_('gl-vao')\nvar pool            = _dereq_('typedarray-pool')\nvar mat4mult        = _dereq_('gl-mat4/multiply')\nvar shaders         = _dereq_('./lib/shaders')\nvar getGlyph        = _dereq_('./lib/glyphs')\nvar getSimpleString = _dereq_('./lib/get-simple-string')\n\nvar IDENTITY = [1,0,0,0,\n                0,1,0,0,\n                0,0,1,0,\n                0,0,0,1]\n\nmodule.exports = createPointCloud\n\nfunction transformMat4(x, m) {\n  var x0 = x[0]\n  var x1 = x[1]\n  var x2 = x[2]\n  var x3 = x[3]\n  x[0] = m[0] * x0 + m[4] * x1 + m[8]  * x2 + m[12] * x3\n  x[1] = m[1] * x0 + m[5] * x1 + m[9]  * x2 + m[13] * x3\n  x[2] = m[2] * x0 + m[6] * x1 + m[10] * x2 + m[14] * x3\n  x[3] = m[3] * x0 + m[7] * x1 + m[11] * x2 + m[15] * x3\n  return x\n}\n\nfunction project(p, v, m, x) {\n  transformMat4(x, x, m)\n  transformMat4(x, x, v)\n  return transformMat4(x, x, p)\n}\n\nfunction clampVec(v) {\n  var result = new Array(3)\n  for(var i=0; i<3; ++i) {\n    result[i] = Math.min(Math.max(v[i], -1e8), 1e8)\n  }\n  return result\n}\n\nfunction ScatterPlotPickResult(index, position) {\n  this.index = index\n  this.dataCoordinate = this.position = position\n}\n\nfunction PointCloud(\n  gl,\n  shader,\n  orthoShader,\n  projectShader,\n  pointBuffer,\n  colorBuffer,\n  glyphBuffer,\n  idBuffer,\n  vao,\n  pickPerspectiveShader,\n  pickOrthoShader,\n  pickProjectShader) {\n\n  this.gl              = gl\n\n  this.pixelRatio      = 1\n\n  this.shader          = shader\n  this.orthoShader     = orthoShader\n  this.projectShader   = projectShader\n\n  this.pointBuffer     = pointBuffer\n  this.colorBuffer     = colorBuffer\n  this.glyphBuffer     = glyphBuffer\n  this.idBuffer        = idBuffer\n  this.vao             = vao\n  this.vertexCount     = 0\n  this.lineVertexCount = 0\n\n  this.opacity         = 1.0\n\n  this.lineWidth       = 0\n  this.projectScale    = [2.0/3.0, 2.0/3.0, 2.0/3.0]\n  this.projectOpacity  = [1,1,1]\n\n  this.pickId                = 0\n  this.pickPerspectiveShader = pickPerspectiveShader\n  this.pickOrthoShader       = pickOrthoShader\n  this.pickProjectShader     = pickProjectShader\n  this.points                = []\n\n  this._selectResult = new ScatterPlotPickResult(0, [0,0,0])\n\n  this.useOrtho = true\n  this.bounds   = [[ Infinity,Infinity,Infinity],\n                   [-Infinity,-Infinity,-Infinity]]\n\n  //Axes projections\n  this.axesProject = [ true, true, true ]\n  this.axesBounds = [[-Infinity,-Infinity,-Infinity],\n                     [ Infinity, Infinity, Infinity]]\n\n  this.highlightId    = [1,1,1,1]\n  this.highlightScale = 2\n\n  this.clipBounds = [[-Infinity,-Infinity,-Infinity],\n                     [ Infinity, Infinity, Infinity]]\n\n  this.dirty = true\n}\n\nvar proto = PointCloud.prototype\n\nproto.pickSlots = 1\n\nproto.setPickBase = function(pickBase) {\n  this.pickId = pickBase\n}\n\nproto.isTransparent = function() {\n  if(this.opacity < 1)  {\n    return true\n  }\n  for(var i=0; i<3; ++i) {\n    if(this.axesProject[i] && this.projectOpacity[i] < 1) {\n      return true\n    }\n  }\n  return false\n}\n\nproto.isOpaque = function() {\n  if(this.opacity >= 1)  {\n    return true\n  }\n  for(var i=0; i<3; ++i) {\n    if(this.axesProject[i] && this.projectOpacity[i] >= 1) {\n      return true\n    }\n  }\n  return false\n}\n\nvar VIEW_SHAPE = [0,0]\nvar U_VEC = [0,0,0]\nvar V_VEC = [0,0,0]\nvar MU_VEC = [0,0,0,1]\nvar MV_VEC = [0,0,0,1]\nvar SCRATCH_MATRIX = IDENTITY.slice()\nvar SCRATCH_VEC = [0,0,0]\nvar CLIP_BOUNDS = [[0,0,0], [0,0,0]]\n\nfunction zeroVec(a) {\n  a[0] = a[1] = a[2] = 0\n  return a\n}\n\nfunction augment(hg, af) {\n  hg[0] = af[0]\n  hg[1] = af[1]\n  hg[2] = af[2]\n  hg[3] = 1\n  return hg\n}\n\nfunction setComponent(out, v, i, x) {\n  out[0] = v[0]\n  out[1] = v[1]\n  out[2] = v[2]\n  out[i] = x\n  return out\n}\n\nfunction getClipBounds(bounds) {\n  var result = CLIP_BOUNDS\n  for(var i=0; i<2; ++i) {\n    for(var j=0; j<3; ++j) {\n      result[i][j] = Math.max(Math.min(bounds[i][j], 1e8), -1e8)\n    }\n  }\n  return result\n}\n\nfunction drawProject(shader, points, camera, transparent, forceDraw) {\n  var axesProject = points.axesProject\n\n  var gl         = points.gl\n  var uniforms   = shader.uniforms\n  var model      = camera.model      || IDENTITY\n  var view       = camera.view       || IDENTITY\n  var projection = camera.projection || IDENTITY\n  var bounds     = points.axesBounds\n  var clipBounds = getClipBounds(points.clipBounds)\n\n  var cubeAxis\n  if(points.axes && points.axes.lastCubeProps) {\n    cubeAxis = points.axes.lastCubeProps.axis\n  } else {\n    cubeAxis = [1,1,1]\n  }\n\n  VIEW_SHAPE[0] = 2.0/gl.drawingBufferWidth\n  VIEW_SHAPE[1] = 2.0/gl.drawingBufferHeight\n\n  shader.bind()\n  uniforms.view           = view\n  uniforms.projection     = projection\n  uniforms.screenSize     = VIEW_SHAPE\n  uniforms.highlightId    = points.highlightId\n  uniforms.highlightScale = points.highlightScale\n  uniforms.clipBounds     = clipBounds\n  uniforms.pickGroup      = points.pickId / 255.0\n  uniforms.pixelRatio     = points.pixelRatio\n\n  for(var i=0; i<3; ++i) {\n    if(!axesProject[i]) {\n      continue\n    }\n    if((points.projectOpacity[i] < 1) !== transparent) {\n      continue\n    }\n\n    uniforms.scale          = points.projectScale[i]\n    uniforms.opacity        = points.projectOpacity[i]\n\n    //Project model matrix\n    var pmodel = SCRATCH_MATRIX\n    for(var j=0; j<16; ++j) {\n      pmodel[j] = 0\n    }\n    for(var j=0; j<4; ++j) {\n      pmodel[5*j] = 1\n    }\n    pmodel[5*i] = 0\n    if(cubeAxis[i] < 0) {\n      pmodel[12+i] = bounds[0][i]\n    } else {\n      pmodel[12+i] = bounds[1][i]\n    }\n    mat4mult(pmodel, model, pmodel)\n    uniforms.model = pmodel\n\n    //Compute initial axes\n    var u = (i+1)%3\n    var v = (i+2)%3\n    var du = zeroVec(U_VEC)\n    var dv = zeroVec(V_VEC)\n    du[u] = 1\n    dv[v] = 1\n\n    //Align orientation relative to viewer\n    var mdu = project(projection, view, model, augment(MU_VEC, du))\n    var mdv = project(projection, view, model, augment(MV_VEC, dv))\n    if(Math.abs(mdu[1]) > Math.abs(mdv[1])) {\n      var tmp = mdu\n      mdu = mdv\n      mdv = tmp\n      tmp = du\n      du = dv\n      dv = tmp\n      var t = u\n      u = v\n      v = t\n    }\n    if(mdu[0] < 0) {\n      du[u] = -1\n    }\n    if(mdv[1] > 0) {\n      dv[v] = -1\n    }\n    var su = 0.0\n    var sv = 0.0\n    for(var j=0; j<4; ++j) {\n      su += Math.pow(model[4*u+j], 2)\n      sv += Math.pow(model[4*v+j], 2)\n    }\n    du[u] /= Math.sqrt(su)\n    dv[v] /= Math.sqrt(sv)\n    uniforms.axes[0] = du\n    uniforms.axes[1] = dv\n\n    //Update fragment clip bounds\n    uniforms.fragClipBounds[0] = setComponent(SCRATCH_VEC, clipBounds[0], i, -1e8)\n    uniforms.fragClipBounds[1] = setComponent(SCRATCH_VEC, clipBounds[1], i, 1e8)\n\n    //Draw interior\n    points.vao.draw(gl.TRIANGLES, points.vertexCount)\n\n    //Draw edges\n    if(points.lineWidth > 0) {\n      gl.lineWidth(points.lineWidth)\n      points.vao.draw(gl.LINES, points.lineVertexCount, points.vertexCount)\n    }\n  }\n}\n\n\nvar NEG_INFINITY3 = [-1e8, -1e8, -1e8]\nvar POS_INFINITY3 = [1e8, 1e8, 1e8]\nvar CLIP_GROUP    = [NEG_INFINITY3, POS_INFINITY3]\n\nfunction drawFull(shader, pshader, points, camera, transparent, forceDraw) {\n  var gl = points.gl\n\n  points.vao.bind()\n\n  if(transparent === (points.opacity < 1) || forceDraw) {\n    shader.bind()\n    var uniforms = shader.uniforms\n\n    uniforms.model      = camera.model      || IDENTITY\n    uniforms.view       = camera.view       || IDENTITY\n    uniforms.projection = camera.projection || IDENTITY\n\n    VIEW_SHAPE[0]       = 2.0/gl.drawingBufferWidth\n    VIEW_SHAPE[1]       = 2.0/gl.drawingBufferHeight\n    uniforms.screenSize = VIEW_SHAPE\n\n    uniforms.highlightId    = points.highlightId\n    uniforms.highlightScale = points.highlightScale\n\n    uniforms.fragClipBounds = CLIP_GROUP\n    uniforms.clipBounds     = points.axes.bounds\n\n    uniforms.opacity    = points.opacity\n    uniforms.pickGroup  = points.pickId / 255.0\n\n    uniforms.pixelRatio = points.pixelRatio\n\n    //Draw interior\n    points.vao.draw(gl.TRIANGLES, points.vertexCount)\n\n    //Draw edges\n    if(points.lineWidth > 0) {\n      gl.lineWidth(points.lineWidth)\n      points.vao.draw(gl.LINES, points.lineVertexCount, points.vertexCount)\n    }\n  }\n\n  drawProject(pshader, points, camera, transparent, forceDraw)\n\n  points.vao.unbind()\n}\n\nproto.draw = function(camera) {\n  var shader = this.useOrtho ? this.orthoShader : this.shader\n  drawFull(shader, this.projectShader, this, camera, false, false)\n}\n\nproto.drawTransparent = function(camera) {\n  var shader = this.useOrtho ? this.orthoShader : this.shader\n  drawFull(shader, this.projectShader, this, camera, true, false)\n}\n\nproto.drawPick = function(camera) {\n  var shader = this.useOrtho ? this.pickOrthoShader : this.pickPerspectiveShader\n  drawFull(shader, this.pickProjectShader, this, camera, false, true)\n}\n\nproto.pick = function(selected) {\n  if(!selected) {\n    return null\n  }\n  if(selected.id !== this.pickId) {\n    return null\n  }\n  var x = selected.value[2] + (selected.value[1]<<8) + (selected.value[0]<<16)\n  if(x >= this.pointCount || x < 0) {\n    return null\n  }\n\n  //Unpack result\n  var coord = this.points[x]\n  var result = this._selectResult\n  result.index = x\n  for(var i=0; i<3; ++i) {\n    result.position[i] = result.dataCoordinate[i] = coord[i]\n  }\n  return result\n}\n\nproto.highlight = function(selection) {\n  if(!selection) {\n    this.highlightId = [1,1,1,1]\n  } else {\n    var pointId = selection.index\n    var a0 =  pointId     &0xff\n    var a1 = (pointId>>8) &0xff\n    var a2 = (pointId>>16)&0xff\n    this.highlightId = [a0/255.0, a1/255.0, a2/255.0, 0]\n  }\n}\n\nfunction get_glyphData(glyphs, index, font) {\n  var str\n\n  // use the data if presented in an array\n  if(Array.isArray(glyphs)) {\n    if(index < glyphs.length) {\n      str = glyphs[index]\n    } else {\n      str = undefined\n    }\n  } else {\n    str = glyphs\n  }\n\n  str = getSimpleString(str) // this would handle undefined cases\n\n  var visible = true\n  if(isAllBlank(str)) {\n    str = '▼' // Note: this special character may have minimum number of surfaces\n    visible = false\n  }\n\n  var glyph = getGlyph(str, font)\n\n  return { mesh:glyph[0],\n          lines:glyph[1],\n         bounds:glyph[2],\n        visible:visible };\n}\n\n\n\nproto.update = function(options) {\n\n  options = options || {}\n\n  if('perspective' in options) {\n    this.useOrtho = !options.perspective\n  }\n  if('orthographic' in options) {\n    this.useOrtho = !!options.orthographic\n  }\n  if('lineWidth' in options) {\n    this.lineWidth = options.lineWidth\n  }\n  if('project' in options) {\n    if(Array.isArray(options.project)) {\n      this.axesProject = options.project\n    } else {\n      var v = !!options.project\n      this.axesProject = [v,v,v]\n    }\n  }\n  if('projectScale' in options) {\n    if(Array.isArray(options.projectScale)) {\n      this.projectScale = options.projectScale.slice()\n    } else {\n      var s = +options.projectScale\n      this.projectScale = [s,s,s]\n    }\n  }\n  if('projectOpacity' in options) {\n    if(Array.isArray(options.projectOpacity)) {\n      this.projectOpacity = options.projectOpacity.slice()\n    } else {\n      var s = +options.projectOpacity\n      this.projectOpacity = [s,s,s]\n    }\n  }\n  if('opacity' in options) {\n    this.opacity = options.opacity\n  }\n\n  //Set dirty flag\n  this.dirty = true\n\n  //Create new buffers\n  var points = options.position\n\n  //Text font\n  var font      = options.font      || 'normal'\n  var alignment = options.alignment || [0,0]\n\n  //Bounds\n  var lowerBound = [ Infinity, Infinity, Infinity]\n  var upperBound = [-Infinity,-Infinity,-Infinity]\n\n  //Unpack options\n  var glyphs     = options.glyph\n  var colors     = options.color\n  var sizes      = options.size\n  var angles     = options.angle\n  var lineColors = options.lineColor\n\n  //Picking geometry\n  var pickCounter = -1\n\n  //First do pass to compute buffer sizes\n  var triVertexCount  = 0\n  var lineVertexCount = 0\n\n  var numPoints = 0;\n\n  if(points.length) {\n\n    //Count number of points and buffer size\n    numPoints = points.length\n\n  count_loop:\n    for(var i=0; i<numPoints; ++i) {\n      var x = points[i]\n      for(var j=0; j<3; ++j) {\n        if(isNaN(x[j]) || !isFinite(x[j])) {\n          continue count_loop\n        }\n      }\n\n      var glyphData = get_glyphData(glyphs, i, font)\n\n      var glyphMesh   = glyphData.mesh\n      var glyphLines  = glyphData.lines\n      var glyphBounds = glyphData.bounds\n\n      triVertexCount  += glyphMesh.cells.length * 3\n      lineVertexCount += glyphLines.edges.length * 2\n    }\n  }\n\n  var vertexCount   = triVertexCount + lineVertexCount\n\n  //Preallocate data\n  var positionArray = pool.mallocFloat(3*vertexCount)\n  var colorArray    = pool.mallocFloat(4*vertexCount)\n  var glyphArray    = pool.mallocFloat(2*vertexCount)\n  var idArray       = pool.mallocUint32(vertexCount)\n\n  if(vertexCount > 0) {\n    var triOffset  = 0\n    var lineOffset = triVertexCount\n    var color      = [0,0,0,1]\n    var lineColor  = [0,0,0,1]\n\n    var isColorArray      = Array.isArray(colors)     && Array.isArray(colors[0])\n    var isLineColorArray  = Array.isArray(lineColors) && Array.isArray(lineColors[0])\n\n  fill_loop:\n    for(var i=0; i<numPoints; ++i) {\n      //Increment pickCounter\n      pickCounter += 1\n\n      var x = points[i]\n      for(var j=0; j<3; ++j) {\n        if(isNaN(x[j]) || !isFinite(x[j])) {\n          continue fill_loop\n        }\n\n        upperBound[j] = Math.max(upperBound[j], x[j])\n        lowerBound[j] = Math.min(lowerBound[j], x[j])\n      }\n\n      var glyphData = get_glyphData(glyphs, i, font)\n\n      var glyphMesh   = glyphData.mesh\n      var glyphLines  = glyphData.lines\n      var glyphBounds = glyphData.bounds\n      var glyphVisible = glyphData.visible\n\n      //Get color\n      if(!glyphVisible) color = [1,1,1,0]\n      else if(Array.isArray(colors)) {\n        var c\n        if(isColorArray) {\n          if(i < colors.length) {\n            c = colors[i]\n          } else {\n            c = [0,0,0,0]\n          }\n        } else {\n          c = colors\n        }\n\n        if(c.length === 3) {\n          for(var j=0; j<3; ++j) {\n            color[j] = c[j]\n          }\n          color[3] = 1\n        } else if(c.length === 4) {\n          for(var j=0; j<4; ++j) {\n            color[j] = c[j]\n          }\n        }\n      } else {\n        color[0] = color[1] = color[2] = 0\n        color[3] = 1\n      }\n\n\n      //Get lineColor\n      if(!glyphVisible) lineColor = [1,1,1,0]\n      else if(Array.isArray(lineColors)) {\n        var c\n        if(isLineColorArray) {\n          if(i < lineColors.length) {\n            c = lineColors[i]\n          } else {\n            c = [0,0,0,0]\n          }\n        } else {\n          c = lineColors\n        }\n\n        if(c.length === 3) {\n          for(var j=0; j<3; ++j) {\n            lineColor[j] = c[j]\n          }\n          lineColor[j] = 1\n        } else if(c.length === 4) {\n          for(var j=0; j<4; ++j) {\n            lineColor[j] = c[j]\n          }\n        }\n      } else {\n        lineColor[0] = lineColor[1] = lineColor[2] = 0\n        lineColor[3] = 1\n      }\n\n\n      var size = 0.5\n      if(!glyphVisible) size = 0.0\n      else if(Array.isArray(sizes)) {\n        if(i < sizes.length) {\n          size = +sizes[i]\n        } else {\n          size = 12\n        }\n      } else if(sizes) {\n        size = +sizes\n      } else if(this.useOrtho) {\n        size = 12\n      }\n\n\n      var angle = 0\n      if(Array.isArray(angles)) {\n        if(i < angles.length) {\n          angle = +angles[i]\n        } else {\n          angle = 0\n        }\n      } else if(angles) {\n        angle = +angles\n      }\n\n      //Loop through markers and append to buffers\n      var cos = Math.cos(angle)\n      var sin = Math.sin(angle)\n\n      var x = points[i]\n      for(var j=0; j<3; ++j) {\n        upperBound[j] = Math.max(upperBound[j], x[j])\n        lowerBound[j] = Math.min(lowerBound[j], x[j])\n      }\n\n      //Calculate text offset\n      var textOffset = [alignment[0], alignment[1]]\n      for(var j=0; j<2; ++j) {\n        if(alignment[j] > 0) {\n          textOffset[j] *= (1-glyphBounds[0][j])\n        } else if(alignment[j] < 0) {\n          textOffset[j] *= (1+glyphBounds[1][j])\n        }\n      }\n\n      //Write out inner marker\n      var cells = glyphMesh.cells || []\n      var verts = glyphMesh.positions || []\n\n      for(var j=0; j<cells.length; ++j) {\n        var cell = cells[j]\n        for(var k=0; k<3; ++k) {\n          for(var l=0; l<3; ++l) {\n            positionArray[3*triOffset+l] = x[l]\n          }\n          for(var l=0; l<4; ++l) {\n            colorArray[4*triOffset+l] = color[l]\n          }\n          idArray[triOffset] = pickCounter\n          var p = verts[cell[k]]\n          glyphArray[2*triOffset]   = size * (cos*p[0] - sin*p[1] + textOffset[0])\n          glyphArray[2*triOffset+1] = size * (sin*p[0] + cos*p[1] + textOffset[1])\n          triOffset += 1\n        }\n      }\n\n      var cells = glyphLines.edges\n      var verts = glyphLines.positions\n\n      for(var j=0; j<cells.length; ++j) {\n        var cell = cells[j]\n        for(var k=0; k<2; ++k) {\n          for(var l=0; l<3; ++l) {\n            positionArray[3*lineOffset+l] = x[l]\n          }\n          for(var l=0; l<4; ++l) {\n            colorArray[4*lineOffset+l] = lineColor[l]\n          }\n          idArray[lineOffset] = pickCounter\n          var p = verts[cell[k]]\n          glyphArray[2*lineOffset]   = size * (cos*p[0] - sin*p[1] + textOffset[0])\n          glyphArray[2*lineOffset+1] = size * (sin*p[0] + cos*p[1] + textOffset[1])\n          lineOffset += 1\n        }\n      }\n\n    }\n\n\n\n  }\n\n  //Update bounds\n  this.bounds = [lowerBound, upperBound]\n\n  //Save points\n  this.points = points\n\n  //Save number of points\n  this.pointCount = points.length\n\n  //Update vertex counts\n  this.vertexCount      = triVertexCount\n  this.lineVertexCount  = lineVertexCount\n\n  this.pointBuffer.update(positionArray)\n  this.colorBuffer.update(colorArray)\n  this.glyphBuffer.update(glyphArray)\n  //this.idBuffer.update(new Uint32Array(idArray))\n  this.idBuffer.update(idArray)\n\n  pool.free(positionArray)\n  pool.free(colorArray)\n  pool.free(glyphArray)\n  pool.free(idArray)\n}\n\nproto.dispose = function() {\n  //Shaders\n  this.shader.dispose()\n  this.orthoShader.dispose()\n  this.pickPerspectiveShader.dispose()\n  this.pickOrthoShader.dispose()\n\n  //Vertex array\n  this.vao.dispose()\n\n  //Buffers\n  this.pointBuffer.dispose()\n  this.colorBuffer.dispose()\n  this.glyphBuffer.dispose()\n  this.idBuffer.dispose()\n}\n\nfunction createPointCloud(options) {\n  var gl = options.gl\n\n  var shader                = shaders.createPerspective(gl)\n  var orthoShader           = shaders.createOrtho(gl)\n  var projectShader         = shaders.createProject(gl)\n  var pickPerspectiveShader = shaders.createPickPerspective(gl)\n  var pickOrthoShader       = shaders.createPickOrtho(gl)\n  var pickProjectShader     = shaders.createPickProject(gl)\n\n  var pointBuffer = createBuffer(gl)\n  var colorBuffer = createBuffer(gl)\n  var glyphBuffer = createBuffer(gl)\n  var idBuffer    = createBuffer(gl)\n  var vao = createVAO(gl, [\n    {\n      buffer: pointBuffer,\n      size: 3,\n      type: gl.FLOAT\n    },\n    {\n      buffer: colorBuffer,\n      size: 4,\n      type: gl.FLOAT\n    },\n    {\n      buffer: glyphBuffer,\n      size: 2,\n      type: gl.FLOAT\n    },\n    {\n      buffer: idBuffer,\n      size: 4,\n      type: gl.UNSIGNED_BYTE,\n      normalized: true\n    }\n  ])\n\n  var pointCloud = new PointCloud(\n    gl,\n    shader,\n    orthoShader,\n    projectShader,\n    pointBuffer,\n    colorBuffer,\n    glyphBuffer,\n    idBuffer,\n    vao,\n    pickPerspectiveShader,\n    pickOrthoShader,\n    pickProjectShader)\n\n  pointCloud.update(options)\n\n  return pointCloud\n}\n\n},{\"./lib/get-simple-string\":281,\"./lib/glyphs\":282,\"./lib/shaders\":283,\"gl-buffer\":230,\"gl-mat4/multiply\":256,\"gl-vao\":310,\"is-string-blank\":406,\"typedarray-pool\":522}],285:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar glslify = _dereq_('glslify')\r\n\r\nexports.boxVertex = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"])\r\nexports.boxFragment = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])\r\n\n},{\"glslify\":392}],286:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar createShader = _dereq_('gl-shader')\r\nvar createBuffer = _dereq_('gl-buffer')\r\n\r\nvar SHADERS = _dereq_('./lib/shaders')\r\n\r\nmodule.exports = createSelectBox\r\n\r\nfunction SelectBox(plot, boxBuffer, boxShader) {\r\n  this.plot = plot\r\n  this.boxBuffer = boxBuffer\r\n  this.boxShader = boxShader\r\n\r\n  this.enabled = true\r\n\r\n  this.selectBox = [Infinity,Infinity,-Infinity,-Infinity]\r\n\r\n  this.borderColor = [0,0,0,1]\r\n  this.innerFill   = false\r\n  this.innerColor  = [0,0,0,0.25]\r\n  this.outerFill   = true\r\n  this.outerColor  = [0,0,0,0.5]\r\n  this.borderWidth = 10\r\n}\r\n\r\nvar proto = SelectBox.prototype\r\n\r\nproto.draw = function() {\r\n  if(!this.enabled) {\r\n    return\r\n  }\r\n\r\n  var plot         = this.plot\r\n  var selectBox    = this.selectBox\r\n  var lineWidth    = this.borderWidth\r\n\r\n  var innerFill    = this.innerFill\r\n  var innerColor   = this.innerColor\r\n  var outerFill    = this.outerFill\r\n  var outerColor   = this.outerColor\r\n  var borderColor  = this.borderColor\r\n\r\n  var boxes        = plot.box\r\n  var screenBox    = plot.screenBox\r\n  var dataBox      = plot.dataBox\r\n  var viewBox      = plot.viewBox\r\n  var pixelRatio   = plot.pixelRatio\r\n\r\n  //Map select box into pixel coordinates\r\n  var loX = (selectBox[0]-dataBox[0])*(viewBox[2]-viewBox[0])/(dataBox[2]-dataBox[0])+viewBox[0]\r\n  var loY = (selectBox[1]-dataBox[1])*(viewBox[3]-viewBox[1])/(dataBox[3]-dataBox[1])+viewBox[1]\r\n  var hiX = (selectBox[2]-dataBox[0])*(viewBox[2]-viewBox[0])/(dataBox[2]-dataBox[0])+viewBox[0]\r\n  var hiY = (selectBox[3]-dataBox[1])*(viewBox[3]-viewBox[1])/(dataBox[3]-dataBox[1])+viewBox[1]\r\n\r\n  loX = Math.max(loX, viewBox[0])\r\n  loY = Math.max(loY, viewBox[1])\r\n  hiX = Math.min(hiX, viewBox[2])\r\n  hiY = Math.min(hiY, viewBox[3])\r\n\r\n  if(hiX < loX || hiY < loY) {\r\n    return\r\n  }\r\n\r\n  boxes.bind()\r\n\r\n  //Draw box\r\n  var screenWidth  = screenBox[2] - screenBox[0]\r\n  var screenHeight = screenBox[3] - screenBox[1]\r\n\r\n  if(this.outerFill) {\r\n    boxes.drawBox(0, 0, screenWidth, loY, outerColor)\r\n    boxes.drawBox(0, loY, loX, hiY, outerColor)\r\n    boxes.drawBox(0, hiY, screenWidth, screenHeight, outerColor)\r\n    boxes.drawBox(hiX, loY, screenWidth, hiY, outerColor)\r\n  }\r\n\r\n  if(this.innerFill) {\r\n    boxes.drawBox(loX, loY, hiX, hiY, innerColor)\r\n  }\r\n\r\n  //Draw border\r\n  if(lineWidth > 0) {\r\n\r\n    //Draw border\r\n    var w = lineWidth * pixelRatio\r\n    boxes.drawBox(loX-w, loY-w, hiX+w, loY+w, borderColor)\r\n    boxes.drawBox(loX-w, hiY-w, hiX+w, hiY+w, borderColor)\r\n    boxes.drawBox(loX-w, loY-w, loX+w, hiY+w, borderColor)\r\n    boxes.drawBox(hiX-w, loY-w, hiX+w, hiY+w, borderColor)\r\n  }\r\n}\r\n\r\nproto.update = function(options) {\r\n  options = options || {}\r\n\r\n  this.innerFill    = !!options.innerFill\r\n  this.outerFill    = !!options.outerFill\r\n  this.innerColor   = (options.innerColor   || [0,0,0,0.5]).slice()\r\n  this.outerColor   = (options.outerColor   || [0,0,0,0.5]).slice()\r\n  this.borderColor  = (options.borderColor || [0,0,0,1]).slice()\r\n  this.borderWidth  = options.borderWidth || 0\r\n  this.selectBox    = (options.selectBox || this.selectBox).slice()\r\n}\r\n\r\nproto.dispose = function() {\r\n  this.boxBuffer.dispose()\r\n  this.boxShader.dispose()\r\n  this.plot.removeOverlay(this)\r\n}\r\n\r\nfunction createSelectBox(plot, options) {\r\n  var gl = plot.gl\r\n  var buffer = createBuffer(gl, [\r\n    0, 0,\r\n    0, 1,\r\n    1, 0,\r\n    1, 1 ])\r\n  var shader = createShader(gl, SHADERS.boxVertex, SHADERS.boxFragment)\r\n  var selectBox = new SelectBox(plot, buffer, shader)\r\n  selectBox.update(options)\r\n  plot.addOverlay(selectBox)\r\n  return selectBox\r\n}\r\n\n},{\"./lib/shaders\":285,\"gl-buffer\":230,\"gl-shader\":288}],287:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = createSelectBuffer\n\nvar createFBO = _dereq_('gl-fbo')\nvar pool      = _dereq_('typedarray-pool')\nvar ndarray   = _dereq_('ndarray')\n\nvar nextPow2  = _dereq_('bit-twiddle').nextPow2\n\nvar selectRange = _dereq_('cwise/lib/wrapper')({\"args\":[\"array\",{\"offset\":[0,0,1],\"array\":0},{\"offset\":[0,0,2],\"array\":0},{\"offset\":[0,0,3],\"array\":0},\"scalar\",\"scalar\",\"index\"],\"pre\":{\"body\":\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",\"args\":[],\"thisVars\":[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],\"localVars\":[]},\"body\":{\"body\":\"{if(_inline_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var _inline_16_l=_inline_16_arg4_-_inline_16_arg6_[0],_inline_16_a=_inline_16_arg5_-_inline_16_arg6_[1],_inline_16_f=_inline_16_l*_inline_16_l+_inline_16_a*_inline_16_a;_inline_16_f<this_closestD2&&(this_closestD2=_inline_16_f,this_closestX=_inline_16_arg6_[0],this_closestY=_inline_16_arg6_[1])}}\",\"args\":[{\"name\":\"_inline_16_arg0_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_16_arg1_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_16_arg2_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_16_arg3_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_16_arg4_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_16_arg5_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_16_arg6_\",\"lvalue\":false,\"rvalue\":true,\"count\":4}],\"thisVars\":[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],\"localVars\":[\"_inline_16_a\",\"_inline_16_f\",\"_inline_16_l\"]},\"post\":{\"body\":\"{return[this_closestX,this_closestY,this_closestD2]}\",\"args\":[],\"thisVars\":[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],\"localVars\":[]},\"debug\":false,\"funcName\":\"cwise\",\"blockSize\":64})\n\nfunction SelectResult(x, y, id, value, distance) {\n  this.coord = [x, y]\n  this.id = id\n  this.value = value\n  this.distance = distance\n}\n\nfunction SelectBuffer(gl, fbo, buffer) {\n  this.gl     = gl\n  this.fbo    = fbo\n  this.buffer = buffer\n  this._readTimeout = null\n  var self = this\n\n  this._readCallback = function() {\n    if(!self.gl) {\n      return\n    }\n    fbo.bind()\n    gl.readPixels(0,0,fbo.shape[0],fbo.shape[1],gl.RGBA,gl.UNSIGNED_BYTE,self.buffer)\n    self._readTimeout = null\n  }\n}\n\nvar proto = SelectBuffer.prototype\n\nObject.defineProperty(proto, 'shape', {\n  get: function() {\n    if(!this.gl) {\n      return [0,0]\n    }\n    return this.fbo.shape.slice()\n  },\n  set: function(v) {\n    if(!this.gl) {\n      return\n    }\n    this.fbo.shape = v\n    var c = this.fbo.shape[0]\n    var r = this.fbo.shape[1]\n    if(r*c*4 > this.buffer.length) {\n      pool.free(this.buffer)\n      var buffer = this.buffer = pool.mallocUint8(nextPow2(r*c*4))\n      for(var i=0; i<r*c*4; ++i) {\n        buffer[i] = 0xff\n      }\n    }\n    return v\n  }\n})\n\nproto.begin = function() {\n  var gl = this.gl\n  var shape = this.shape\n  if(!gl) {\n    return\n  }\n\n  this.fbo.bind()\n  gl.clearColor(1,1,1,1)\n  gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT)\n}\n\nproto.end = function() {\n  var gl = this.gl\n  if(!gl) {\n    return\n  }\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null)\n  if(!this._readTimeout) {\n    clearTimeout(this._readTimeout)\n  }\n  this._readTimeout = setTimeout(this._readCallback, 1)\n}\n\nproto.query = function(x, y, radius) {\n  if(!this.gl) {\n    return null\n  }\n\n  var shape = this.fbo.shape.slice()\n\n  x = x|0\n  y = y|0\n  if(typeof radius !== 'number') {\n    radius = 1.0\n  }\n\n  var x0 = Math.min(Math.max(x - radius, 0), shape[0])|0\n  var x1 = Math.min(Math.max(x + radius, 0), shape[0])|0\n  var y0 = Math.min(Math.max(y - radius, 0), shape[1])|0\n  var y1 = Math.min(Math.max(y + radius, 0), shape[1])|0\n\n  if(x1 <= x0 || y1 <= y0) {\n    return null\n  }\n\n  var dims   = [x1-x0,y1-y0]\n  var region = ndarray(\n    this.buffer,\n    [dims[0], dims[1], 4],\n    [4, shape[0]*4, 1],\n    4*(x0 + shape[0]*y0));\n\n  var closest = selectRange(region.hi(dims[0],dims[1],1), radius, radius)\n  var dx = closest[0]\n  var dy = closest[1]\n  if(dx < 0 || Math.pow(this.radius, 2) < closest[2]) {\n    return null\n  }\n\n  var c0 = region.get(dx, dy, 0)\n  var c1 = region.get(dx, dy, 1)\n  var c2 = region.get(dx, dy, 2)\n  var c3 = region.get(dx, dy, 3)\n\n  return new SelectResult(\n     (dx + x0)|0,\n     (dy + y0)|0,\n     c0,\n     [c1, c2, c3],\n     Math.sqrt(closest[2]))\n}\n\nproto.dispose = function() {\n  if(!this.gl) {\n    return\n  }\n  this.fbo.dispose()\n  pool.free(this.buffer)\n  this.gl = null\n  if(this._readTimeout) {\n    clearTimeout(this._readTimeout)\n  }\n}\n\nfunction createSelectBuffer(gl, shape) {\n  var fbo = createFBO(gl, shape)\n  var buffer = pool.mallocUint8(shape[0]*shape[1]*4)\n  return new SelectBuffer(gl, fbo, buffer)\n}\n\n},{\"bit-twiddle\":80,\"cwise/lib/wrapper\":137,\"gl-fbo\":239,\"ndarray\":433,\"typedarray-pool\":522}],288:[function(_dereq_,module,exports){\n'use strict'\n\nvar createUniformWrapper   = _dereq_('./lib/create-uniforms')\nvar createAttributeWrapper = _dereq_('./lib/create-attributes')\nvar makeReflect            = _dereq_('./lib/reflect')\nvar shaderCache            = _dereq_('./lib/shader-cache')\nvar runtime                = _dereq_('./lib/runtime-reflect')\nvar GLError                = _dereq_(\"./lib/GLError\")\n\n//Shader object\nfunction Shader(gl) {\n  this.gl         = gl\n  this.gl.lastAttribCount = 0  // fixme where else should we store info, safe but not nice on the gl object\n\n  //Default initialize these to null\n  this._vref      =\n  this._fref      =\n  this._relink    =\n  this.vertShader =\n  this.fragShader =\n  this.program    =\n  this.attributes =\n  this.uniforms   =\n  this.types      = null\n}\n\nvar proto = Shader.prototype\n\nproto.bind = function() {\n  if(!this.program) {\n    this._relink()\n  }\n\n  // ensuring that we have the right number of enabled vertex attributes\n  var i\n  var newAttribCount = this.gl.getProgramParameter(this.program, this.gl.ACTIVE_ATTRIBUTES) // more robust approach\n  //var newAttribCount = Object.keys(this.attributes).length // avoids the probably immaterial introspection slowdown\n  var oldAttribCount = this.gl.lastAttribCount\n  if(newAttribCount > oldAttribCount) {\n    for(i = oldAttribCount; i < newAttribCount; i++) {\n      this.gl.enableVertexAttribArray(i)\n    }\n  } else if(oldAttribCount > newAttribCount) {\n    for(i = newAttribCount; i < oldAttribCount; i++) {\n      this.gl.disableVertexAttribArray(i)\n    }\n  }\n\n  this.gl.lastAttribCount = newAttribCount\n\n  this.gl.useProgram(this.program)\n}\n\nproto.dispose = function() {\n\n  // disabling vertex attributes so new shader starts with zero\n  // and it's also useful if all shaders are disposed but the\n  // gl context is reused for subsequent replotting\n  var oldAttribCount = this.gl.lastAttribCount\n  for (var i = 0; i < oldAttribCount; i++) {\n    this.gl.disableVertexAttribArray(i)\n  }\n  this.gl.lastAttribCount = 0\n\n  if(this._fref) {\n    this._fref.dispose()\n  }\n  if(this._vref) {\n    this._vref.dispose()\n  }\n  this.attributes =\n  this.types      =\n  this.vertShader =\n  this.fragShader =\n  this.program    =\n  this._relink    =\n  this._fref      =\n  this._vref      = null\n}\n\nfunction compareAttributes(a, b) {\n  if(a.name < b.name) {\n    return -1\n  }\n  return 1\n}\n\n//Update export hook for glslify-live\nproto.update = function(\n    vertSource\n  , fragSource\n  , uniforms\n  , attributes) {\n\n  //If only one object passed, assume glslify style output\n  if(!fragSource || arguments.length === 1) {\n    var obj = vertSource\n    vertSource = obj.vertex\n    fragSource = obj.fragment\n    uniforms   = obj.uniforms\n    attributes = obj.attributes\n  }\n\n  var wrapper = this\n  var gl      = wrapper.gl\n\n  //Compile vertex and fragment shaders\n  var pvref = wrapper._vref\n  wrapper._vref = shaderCache.shader(gl, gl.VERTEX_SHADER, vertSource)\n  if(pvref) {\n    pvref.dispose()\n  }\n  wrapper.vertShader = wrapper._vref.shader\n  var pfref = this._fref\n  wrapper._fref = shaderCache.shader(gl, gl.FRAGMENT_SHADER, fragSource)\n  if(pfref) {\n    pfref.dispose()\n  }\n  wrapper.fragShader = wrapper._fref.shader\n\n  //If uniforms/attributes is not specified, use RT reflection\n  if(!uniforms || !attributes) {\n\n    //Create initial test program\n    var testProgram = gl.createProgram()\n    gl.attachShader(testProgram, wrapper.fragShader)\n    gl.attachShader(testProgram, wrapper.vertShader)\n    gl.linkProgram(testProgram)\n    if(!gl.getProgramParameter(testProgram, gl.LINK_STATUS)) {\n      var errLog = gl.getProgramInfoLog(testProgram)\n      throw new GLError(errLog, 'Error linking program:' + errLog)\n    }\n\n    //Load data from runtime\n    uniforms   = uniforms   || runtime.uniforms(gl, testProgram)\n    attributes = attributes || runtime.attributes(gl, testProgram)\n\n    //Release test program\n    gl.deleteProgram(testProgram)\n  }\n\n  //Sort attributes lexicographically\n  // overrides undefined WebGL behavior for attribute locations\n  attributes = attributes.slice()\n  attributes.sort(compareAttributes)\n\n  //Convert attribute types, read out locations\n  var attributeUnpacked  = []\n  var attributeNames     = []\n  var attributeLocations = []\n  var i\n  for(i=0; i<attributes.length; ++i) {\n    var attr = attributes[i]\n    if(attr.type.indexOf('mat') >= 0) {\n      var size = attr.type.charAt(attr.type.length-1)|0\n      var locVector = new Array(size)\n      for(var j=0; j<size; ++j) {\n        locVector[j] = attributeLocations.length\n        attributeNames.push(attr.name + '[' + j + ']')\n        if(typeof attr.location === 'number') {\n          attributeLocations.push(attr.location + j)\n        } else if(Array.isArray(attr.location) &&\n                  attr.location.length === size &&\n                  typeof attr.location[j] === 'number') {\n          attributeLocations.push(attr.location[j]|0)\n        } else {\n          attributeLocations.push(-1)\n        }\n      }\n      attributeUnpacked.push({\n        name: attr.name,\n        type: attr.type,\n        locations: locVector\n      })\n    } else {\n      attributeUnpacked.push({\n        name: attr.name,\n        type: attr.type,\n        locations: [ attributeLocations.length ]\n      })\n      attributeNames.push(attr.name)\n      if(typeof attr.location === 'number') {\n        attributeLocations.push(attr.location|0)\n      } else {\n        attributeLocations.push(-1)\n      }\n    }\n  }\n\n  //For all unspecified attributes, assign them lexicographically min attribute\n  var curLocation = 0\n  for(i=0; i<attributeLocations.length; ++i) {\n    if(attributeLocations[i] < 0) {\n      while(attributeLocations.indexOf(curLocation) >= 0) {\n        curLocation += 1\n      }\n      attributeLocations[i] = curLocation\n    }\n  }\n\n  //Rebuild program and recompute all uniform locations\n  var uniformLocations = new Array(uniforms.length)\n  function relink() {\n    wrapper.program = shaderCache.program(\n        gl\n      , wrapper._vref\n      , wrapper._fref\n      , attributeNames\n      , attributeLocations)\n\n    for(var i=0; i<uniforms.length; ++i) {\n      uniformLocations[i] = gl.getUniformLocation(\n          wrapper.program\n        , uniforms[i].name)\n    }\n  }\n\n  //Perform initial linking, reuse program used for reflection\n  relink()\n\n  //Save relinking procedure, defer until runtime\n  wrapper._relink = relink\n\n  //Generate type info\n  wrapper.types = {\n    uniforms:   makeReflect(uniforms),\n    attributes: makeReflect(attributes)\n  }\n\n  //Generate attribute wrappers\n  wrapper.attributes = createAttributeWrapper(\n      gl\n    , wrapper\n    , attributeUnpacked\n    , attributeLocations)\n\n  //Generate uniform wrappers\n  Object.defineProperty(wrapper, 'uniforms', createUniformWrapper(\n      gl\n    , wrapper\n    , uniforms\n    , uniformLocations))\n}\n\n//Compiles and links a shader program with the given attribute and vertex list\nfunction createShader(\n    gl\n  , vertSource\n  , fragSource\n  , uniforms\n  , attributes) {\n\n  var shader = new Shader(gl)\n\n  shader.update(\n      vertSource\n    , fragSource\n    , uniforms\n    , attributes)\n\n  return shader\n}\n\nmodule.exports = createShader\n\n},{\"./lib/GLError\":289,\"./lib/create-attributes\":290,\"./lib/create-uniforms\":291,\"./lib/reflect\":292,\"./lib/runtime-reflect\":293,\"./lib/shader-cache\":294}],289:[function(_dereq_,module,exports){\nfunction GLError (rawError, shortMessage, longMessage) {\n    this.shortMessage = shortMessage || ''\n    this.longMessage = longMessage || ''\n    this.rawError = rawError || ''\n    this.message =\n      'gl-shader: ' + (shortMessage || rawError || '') +\n      (longMessage ? '\\n'+longMessage : '')\n    this.stack = (new Error()).stack\n}\nGLError.prototype = new Error\nGLError.prototype.name = 'GLError'\nGLError.prototype.constructor = GLError\nmodule.exports = GLError\n\n},{}],290:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = createAttributeWrapper\n\nvar GLError = _dereq_(\"./GLError\")\n\nfunction ShaderAttribute(\n    gl\n  , wrapper\n  , index\n  , locations\n  , dimension\n  , constFunc) {\n  this._gl        = gl\n  this._wrapper   = wrapper\n  this._index     = index\n  this._locations = locations\n  this._dimension = dimension\n  this._constFunc = constFunc\n}\n\nvar proto = ShaderAttribute.prototype\n\nproto.pointer = function setAttribPointer(\n    type\n  , normalized\n  , stride\n  , offset) {\n\n  var self      = this\n  var gl        = self._gl\n  var location  = self._locations[self._index]\n\n  gl.vertexAttribPointer(\n      location\n    , self._dimension\n    , type || gl.FLOAT\n    , !!normalized\n    , stride || 0\n    , offset || 0)\n  gl.enableVertexAttribArray(location)\n}\n\nproto.set = function(x0, x1, x2, x3) {\n  return this._constFunc(this._locations[this._index], x0, x1, x2, x3)\n}\n\nObject.defineProperty(proto, 'location', {\n  get: function() {\n    return this._locations[this._index]\n  }\n  , set: function(v) {\n    if(v !== this._locations[this._index]) {\n      this._locations[this._index] = v|0\n      this._wrapper.program = null\n    }\n    return v|0\n  }\n})\n\n//Adds a vector attribute to obj\nfunction addVectorAttribute(\n    gl\n  , wrapper\n  , index\n  , locations\n  , dimension\n  , obj\n  , name) {\n\n  //Construct constant function\n  var constFuncArgs = [ 'gl', 'v' ]\n  var varNames = []\n  for(var i=0; i<dimension; ++i) {\n    constFuncArgs.push('x'+i)\n    varNames.push('x'+i)\n  }\n  constFuncArgs.push(\n    'if(x0.length===void 0){return gl.vertexAttrib' +\n    dimension + 'f(v,' +\n    varNames.join() +\n    ')}else{return gl.vertexAttrib' +\n    dimension +\n    'fv(v,x0)}')\n  var constFunc = Function.apply(null, constFuncArgs)\n\n  //Create attribute wrapper\n  var attr = new ShaderAttribute(\n      gl\n    , wrapper\n    , index\n    , locations\n    , dimension\n    , constFunc)\n\n  //Create accessor\n  Object.defineProperty(obj, name, {\n    set: function(x) {\n      gl.disableVertexAttribArray(locations[index])\n      constFunc(gl, locations[index], x)\n      return x\n    }\n    , get: function() {\n      return attr\n    }\n    , enumerable: true\n  })\n}\n\nfunction addMatrixAttribute(\n    gl\n  , wrapper\n  , index\n  , locations\n  , dimension\n  , obj\n  , name) {\n\n  var parts = new Array(dimension)\n  var attrs = new Array(dimension)\n  for(var i=0; i<dimension; ++i) {\n    addVectorAttribute(\n        gl\n      , wrapper\n      , index[i]\n      , locations\n      , dimension\n      , parts\n      , i)\n    attrs[i] = parts[i]\n  }\n\n  Object.defineProperty(parts, 'location', {\n    set: function(v) {\n      if(Array.isArray(v)) {\n        for(var i=0; i<dimension; ++i) {\n          attrs[i].location = v[i]\n        }\n      } else {\n        for(var i=0; i<dimension; ++i) {\n          attrs[i].location = v + i\n        }\n      }\n      return v\n    }\n    , get: function() {\n      var result = new Array(dimension)\n      for(var i=0; i<dimension; ++i) {\n        result[i] = locations[index[i]]\n      }\n      return result\n    }\n    , enumerable: true\n  })\n\n  parts.pointer = function(type, normalized, stride, offset) {\n    type       = type || gl.FLOAT\n    normalized = !!normalized\n    stride     = stride || (dimension * dimension)\n    offset     = offset || 0\n    for(var i=0; i<dimension; ++i) {\n      var location = locations[index[i]]\n      gl.vertexAttribPointer(\n            location\n          , dimension\n          , type\n          , normalized\n          , stride\n          , offset + i * dimension)\n      gl.enableVertexAttribArray(location)\n    }\n  }\n\n  var scratch = new Array(dimension)\n  var vertexAttrib = gl['vertexAttrib' + dimension + 'fv']\n\n  Object.defineProperty(obj, name, {\n    set: function(x) {\n      for(var i=0; i<dimension; ++i) {\n        var loc = locations[index[i]]\n        gl.disableVertexAttribArray(loc)\n        if(Array.isArray(x[0])) {\n          vertexAttrib.call(gl, loc, x[i])\n        } else {\n          for(var j=0; j<dimension; ++j) {\n            scratch[j] = x[dimension*i + j]\n          }\n          vertexAttrib.call(gl, loc, scratch)\n        }\n      }\n      return x\n    }\n    , get: function() {\n      return parts\n    }\n    , enumerable: true\n  })\n}\n\n//Create shims for attributes\nfunction createAttributeWrapper(\n    gl\n  , wrapper\n  , attributes\n  , locations) {\n\n  var obj = {}\n  for(var i=0, n=attributes.length; i<n; ++i) {\n\n    var a = attributes[i]\n    var name = a.name\n    var type = a.type\n    var locs = a.locations\n\n    switch(type) {\n      case 'bool':\n      case 'int':\n      case 'float':\n        addVectorAttribute(\n            gl\n          , wrapper\n          , locs[0]\n          , locations\n          , 1\n          , obj\n          , name)\n      break\n\n      default:\n        if(type.indexOf('vec') >= 0) {\n          var d = type.charCodeAt(type.length-1) - 48\n          if(d < 2 || d > 4) {\n            throw new GLError('', 'Invalid data type for attribute ' + name + ': ' + type)\n          }\n          addVectorAttribute(\n              gl\n            , wrapper\n            , locs[0]\n            , locations\n            , d\n            , obj\n            , name)\n        } else if(type.indexOf('mat') >= 0) {\n          var d = type.charCodeAt(type.length-1) - 48\n          if(d < 2 || d > 4) {\n            throw new GLError('', 'Invalid data type for attribute ' + name + ': ' + type)\n          }\n          addMatrixAttribute(\n              gl\n            , wrapper\n            , locs\n            , locations\n            , d\n            , obj\n            , name)\n        } else {\n          throw new GLError('', 'Unknown data type for attribute ' + name + ': ' + type)\n        }\n      break\n    }\n  }\n  return obj\n}\n\n},{\"./GLError\":289}],291:[function(_dereq_,module,exports){\n'use strict'\n\nvar coallesceUniforms = _dereq_('./reflect')\nvar GLError = _dereq_(\"./GLError\")\n\nmodule.exports = createUniformWrapper\n\n//Binds a function and returns a value\nfunction identity(x) {\n  var c = new Function('y', 'return function(){return y}')\n  return c(x)\n}\n\nfunction makeVector(length, fill) {\n  var result = new Array(length)\n  for(var i=0; i<length; ++i) {\n    result[i] = fill\n  }\n  return result\n}\n\n//Create shims for uniforms\nfunction createUniformWrapper(gl, wrapper, uniforms, locations) {\n\n  function makeGetter(index) {\n    var proc = new Function(\n        'gl'\n      , 'wrapper'\n      , 'locations'\n      , 'return function(){return gl.getUniform(wrapper.program,locations[' + index + '])}')\n    return proc(gl, wrapper, locations)\n  }\n\n  function makePropSetter(path, index, type) {\n    switch(type) {\n      case 'bool':\n      case 'int':\n      case 'sampler2D':\n      case 'samplerCube':\n        return 'gl.uniform1i(locations[' + index + '],obj' + path + ')'\n      case 'float':\n        return 'gl.uniform1f(locations[' + index + '],obj' + path + ')'\n      default:\n        var vidx = type.indexOf('vec')\n        if(0 <= vidx && vidx <= 1 && type.length === 4 + vidx) {\n          var d = type.charCodeAt(type.length-1) - 48\n          if(d < 2 || d > 4) {\n            throw new GLError('', 'Invalid data type')\n          }\n          switch(type.charAt(0)) {\n            case 'b':\n            case 'i':\n              return 'gl.uniform' + d + 'iv(locations[' + index + '],obj' + path + ')'\n            case 'v':\n              return 'gl.uniform' + d + 'fv(locations[' + index + '],obj' + path + ')'\n            default:\n              throw new GLError('', 'Unrecognized data type for vector ' + name + ': ' + type)\n          }\n        } else if(type.indexOf('mat') === 0 && type.length === 4) {\n          var d = type.charCodeAt(type.length-1) - 48\n          if(d < 2 || d > 4) {\n            throw new GLError('', 'Invalid uniform dimension type for matrix ' + name + ': ' + type)\n          }\n          return 'gl.uniformMatrix' + d + 'fv(locations[' + index + '],false,obj' + path + ')'\n        } else {\n          throw new GLError('', 'Unknown uniform data type for ' + name + ': ' + type)\n        }\n      break\n    }\n  }\n\n  function enumerateIndices(prefix, type) {\n    if(typeof type !== 'object') {\n      return [ [prefix, type] ]\n    }\n    var indices = []\n    for(var id in type) {\n      var prop = type[id]\n      var tprefix = prefix\n      if(parseInt(id) + '' === id) {\n        tprefix += '[' + id + ']'\n      } else {\n        tprefix += '.' + id\n      }\n      if(typeof prop === 'object') {\n        indices.push.apply(indices, enumerateIndices(tprefix, prop))\n      } else {\n        indices.push([tprefix, prop])\n      }\n    }\n    return indices\n  }\n\n  function makeSetter(type) {\n    var code = [ 'return function updateProperty(obj){' ]\n    var indices = enumerateIndices('', type)\n    for(var i=0; i<indices.length; ++i) {\n      var item = indices[i]\n      var path = item[0]\n      var idx  = item[1]\n      if(locations[idx]) {\n        code.push(makePropSetter(path, idx, uniforms[idx].type))\n      }\n    }\n    code.push('return obj}')\n    var proc = new Function('gl', 'locations', code.join('\\n'))\n    return proc(gl, locations)\n  }\n\n  function defaultValue(type) {\n    switch(type) {\n      case 'bool':\n        return false\n      case 'int':\n      case 'sampler2D':\n      case 'samplerCube':\n        return 0\n      case 'float':\n        return 0.0\n      default:\n        var vidx = type.indexOf('vec')\n        if(0 <= vidx && vidx <= 1 && type.length === 4 + vidx) {\n          var d = type.charCodeAt(type.length-1) - 48\n          if(d < 2 || d > 4) {\n            throw new GLError('', 'Invalid data type')\n          }\n          if(type.charAt(0) === 'b') {\n            return makeVector(d, false)\n          }\n          return makeVector(d, 0)\n        } else if(type.indexOf('mat') === 0 && type.length === 4) {\n          var d = type.charCodeAt(type.length-1) - 48\n          if(d < 2 || d > 4) {\n            throw new GLError('', 'Invalid uniform dimension type for matrix ' + name + ': ' + type)\n          }\n          return makeVector(d*d, 0)\n        } else {\n          throw new GLError('', 'Unknown uniform data type for ' + name + ': ' + type)\n        }\n      break\n    }\n  }\n\n  function storeProperty(obj, prop, type) {\n    if(typeof type === 'object') {\n      var child = processObject(type)\n      Object.defineProperty(obj, prop, {\n        get: identity(child),\n        set: makeSetter(type),\n        enumerable: true,\n        configurable: false\n      })\n    } else {\n      if(locations[type]) {\n        Object.defineProperty(obj, prop, {\n          get: makeGetter(type),\n          set: makeSetter(type),\n          enumerable: true,\n          configurable: false\n        })\n      } else {\n        obj[prop] = defaultValue(uniforms[type].type)\n      }\n    }\n  }\n\n  function processObject(obj) {\n    var result\n    if(Array.isArray(obj)) {\n      result = new Array(obj.length)\n      for(var i=0; i<obj.length; ++i) {\n        storeProperty(result, i, obj[i])\n      }\n    } else {\n      result = {}\n      for(var id in obj) {\n        storeProperty(result, id, obj[id])\n      }\n    }\n    return result\n  }\n\n  //Return data\n  var coallesced = coallesceUniforms(uniforms, true)\n  return {\n    get: identity(processObject(coallesced)),\n    set: makeSetter(coallesced),\n    enumerable: true,\n    configurable: true\n  }\n}\n\n},{\"./GLError\":289,\"./reflect\":292}],292:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = makeReflectTypes\n\n//Construct type info for reflection.\n//\n// This iterates over the flattened list of uniform type values and smashes them into a JSON object.\n//\n// The leaves of the resulting object are either indices or type strings representing primitive glslify types\nfunction makeReflectTypes(uniforms, useIndex) {\n  var obj = {}\n  for(var i=0; i<uniforms.length; ++i) {\n    var n = uniforms[i].name\n    var parts = n.split(\".\")\n    var o = obj\n    for(var j=0; j<parts.length; ++j) {\n      var x = parts[j].split(\"[\")\n      if(x.length > 1) {\n        if(!(x[0] in o)) {\n          o[x[0]] = []\n        }\n        o = o[x[0]]\n        for(var k=1; k<x.length; ++k) {\n          var y = parseInt(x[k])\n          if(k<x.length-1 || j<parts.length-1) {\n            if(!(y in o)) {\n              if(k < x.length-1) {\n                o[y] = []\n              } else {\n                o[y] = {}\n              }\n            }\n            o = o[y]\n          } else {\n            if(useIndex) {\n              o[y] = i\n            } else {\n              o[y] = uniforms[i].type\n            }\n          }\n        }\n      } else if(j < parts.length-1) {\n        if(!(x[0] in o)) {\n          o[x[0]] = {}\n        }\n        o = o[x[0]]\n      } else {\n        if(useIndex) {\n          o[x[0]] = i\n        } else {\n          o[x[0]] = uniforms[i].type\n        }\n      }\n    }\n  }\n  return obj\n}\n},{}],293:[function(_dereq_,module,exports){\n'use strict'\n\nexports.uniforms    = runtimeUniforms\nexports.attributes  = runtimeAttributes\n\nvar GL_TO_GLSL_TYPES = {\n  'FLOAT':       'float',\n  'FLOAT_VEC2':  'vec2',\n  'FLOAT_VEC3':  'vec3',\n  'FLOAT_VEC4':  'vec4',\n  'INT':         'int',\n  'INT_VEC2':    'ivec2',\n  'INT_VEC3':    'ivec3',\n  'INT_VEC4':    'ivec4',\n  'BOOL':        'bool',\n  'BOOL_VEC2':   'bvec2',\n  'BOOL_VEC3':   'bvec3',\n  'BOOL_VEC4':   'bvec4',\n  'FLOAT_MAT2':  'mat2',\n  'FLOAT_MAT3':  'mat3',\n  'FLOAT_MAT4':  'mat4',\n  'SAMPLER_2D':  'sampler2D',\n  'SAMPLER_CUBE':'samplerCube'\n}\n\nvar GL_TABLE = null\n\nfunction getType(gl, type) {\n  if(!GL_TABLE) {\n    var typeNames = Object.keys(GL_TO_GLSL_TYPES)\n    GL_TABLE = {}\n    for(var i=0; i<typeNames.length; ++i) {\n      var tn = typeNames[i]\n      GL_TABLE[gl[tn]] = GL_TO_GLSL_TYPES[tn]\n    }\n  }\n  return GL_TABLE[type]\n}\n\nfunction runtimeUniforms(gl, program) {\n  var numUniforms = gl.getProgramParameter(program, gl.ACTIVE_UNIFORMS)\n  var result = []\n  for(var i=0; i<numUniforms; ++i) {\n    var info = gl.getActiveUniform(program, i)\n    if(info) {\n      var type = getType(gl, info.type)\n      if(info.size > 1) {\n        for(var j=0; j<info.size; ++j) {\n          result.push({\n            name: info.name.replace('[0]', '[' + j + ']'),\n            type: type\n          })\n        }\n      } else {\n        result.push({\n          name: info.name,\n          type: type\n        })\n      }\n    }\n  }\n  return result\n}\n\nfunction runtimeAttributes(gl, program) {\n  var numAttributes = gl.getProgramParameter(program, gl.ACTIVE_ATTRIBUTES)\n  var result = []\n  for(var i=0; i<numAttributes; ++i) {\n    var info = gl.getActiveAttrib(program, i)\n    if(info) {\n      result.push({\n        name: info.name,\n        type: getType(gl, info.type)\n      })\n    }\n  }\n  return result\n}\n\n},{}],294:[function(_dereq_,module,exports){\n'use strict'\n\nexports.shader   = getShaderReference\nexports.program  = createProgram\n\nvar GLError = _dereq_(\"./GLError\")\nvar formatCompilerError = _dereq_('gl-format-compiler-error');\n\nvar weakMap = typeof WeakMap === 'undefined' ? _dereq_('weakmap-shim') : WeakMap\nvar CACHE = new weakMap()\n\nvar SHADER_COUNTER = 0\n\nfunction ShaderReference(id, src, type, shader, programs, count, cache) {\n  this.id       = id\n  this.src      = src\n  this.type     = type\n  this.shader   = shader\n  this.count    = count\n  this.programs = []\n  this.cache    = cache\n}\n\nShaderReference.prototype.dispose = function() {\n  if(--this.count === 0) {\n    var cache    = this.cache\n    var gl       = cache.gl\n\n    //Remove program references\n    var programs = this.programs\n    for(var i=0, n=programs.length; i<n; ++i) {\n      var p = cache.programs[programs[i]]\n      if(p) {\n        delete cache.programs[i]\n        gl.deleteProgram(p)\n      }\n    }\n\n    //Remove shader reference\n    gl.deleteShader(this.shader)\n    delete cache.shaders[(this.type === gl.FRAGMENT_SHADER)|0][this.src]\n  }\n}\n\nfunction ContextCache(gl) {\n  this.gl       = gl\n  this.shaders  = [{}, {}]\n  this.programs = {}\n}\n\nvar proto = ContextCache.prototype\n\nfunction compileShader(gl, type, src) {\n  var shader = gl.createShader(type)\n  gl.shaderSource(shader, src)\n  gl.compileShader(shader)\n  if(!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n    var errLog = gl.getShaderInfoLog(shader)\n    try {\n        var fmt = formatCompilerError(errLog, src, type);\n    } catch (e){\n        console.warn('Failed to format compiler error: ' + e);\n        throw new GLError(errLog, 'Error compiling shader:\\n' + errLog)\n    }\n    throw new GLError(errLog, fmt.short, fmt.long)\n  }\n  return shader\n}\n\nproto.getShaderReference = function(type, src) {\n  var gl      = this.gl\n  var shaders = this.shaders[(type === gl.FRAGMENT_SHADER)|0]\n  var shader  = shaders[src]\n  if(!shader || !gl.isShader(shader.shader)) {\n    var shaderObj = compileShader(gl, type, src)\n    shader = shaders[src] = new ShaderReference(\n      SHADER_COUNTER++,\n      src,\n      type,\n      shaderObj,\n      [],\n      1,\n      this)\n  } else {\n    shader.count += 1\n  }\n  return shader\n}\n\nfunction linkProgram(gl, vshader, fshader, attribs, locations) {\n  var program = gl.createProgram()\n  gl.attachShader(program, vshader)\n  gl.attachShader(program, fshader)\n  for(var i=0; i<attribs.length; ++i) {\n    gl.bindAttribLocation(program, locations[i], attribs[i])\n  }\n  gl.linkProgram(program)\n  if(!gl.getProgramParameter(program, gl.LINK_STATUS)) {\n    var errLog = gl.getProgramInfoLog(program)\n    throw new GLError(errLog, 'Error linking program: ' + errLog)\n  }\n  return program\n}\n\nproto.getProgram = function(vref, fref, attribs, locations) {\n  var token = [vref.id, fref.id, attribs.join(':'), locations.join(':')].join('@')\n  var prog  = this.programs[token]\n  if(!prog || !this.gl.isProgram(prog)) {\n    this.programs[token] = prog = linkProgram(\n      this.gl,\n      vref.shader,\n      fref.shader,\n      attribs,\n      locations)\n    vref.programs.push(token)\n    fref.programs.push(token)\n  }\n  return prog\n}\n\nfunction getCache(gl) {\n  var ctxCache = CACHE.get(gl)\n  if(!ctxCache) {\n    ctxCache = new ContextCache(gl)\n    CACHE.set(gl, ctxCache)\n  }\n  return ctxCache\n}\n\nfunction getShaderReference(gl, type, src) {\n  return getCache(gl).getShaderReference(type, src)\n}\n\nfunction createProgram(gl, vref, fref, attribs, locations) {\n  return getCache(gl).getProgram(vref, fref, attribs, locations)\n}\n\n},{\"./GLError\":289,\"gl-format-compiler-error\":240,\"weakmap-shim\":532}],295:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = createSpikes2D\n\nfunction GLSpikes2D(plot) {\n  this.plot = plot\n  this.enable = [true, true, false, false]\n  this.width  = [1, 1, 1, 1]\n  this.color  = [[0,0,0,1],\n                 [0,0,0,1],\n                 [0,0,0,1],\n                 [0,0,0,1]]\n  this.center = [Infinity, Infinity]\n}\n\nvar proto = GLSpikes2D.prototype\n\nproto.update = function(options) {\n  options = options || {}\n  this.enable = (options.enable || [true,true,false,false]).slice()\n  this.width  = (options.width || [1,1,1,1]).slice()\n  this.color  = (options.color || [\n                  [0,0,0,1],\n                  [0,0,0,1],\n                  [0,0,0,1],\n                  [0,0,0,1]]).map(function(x) { return x.slice() })\n  this.center = (options.center || [Infinity,Infinity]).slice()\n  this.plot.setOverlayDirty()\n}\n\nproto.draw = function() {\n  var spikeEnable = this.enable\n  var spikeWidth  = this.width\n  var spikeColor  = this.color\n  var spikeCenter = this.center\n  var plot        = this.plot\n  var line        = plot.line\n\n  var dataBox     = plot.dataBox\n  var viewPixels  = plot.viewBox\n\n  line.bind()\n\n  if(dataBox[0] <= spikeCenter[0] && spikeCenter[0] <= dataBox[2] &&\n     dataBox[1] <= spikeCenter[1] && spikeCenter[1] <= dataBox[3]) {\n\n    var centerX = viewPixels[0] + (spikeCenter[0] - dataBox[0]) / (dataBox[2] - dataBox[0]) * (viewPixels[2] - viewPixels[0])\n    var centerY = viewPixels[1] + (spikeCenter[1] - dataBox[1]) / (dataBox[3] - dataBox[1]) * (viewPixels[3] - viewPixels[1])\n\n    if(spikeEnable[0]) {\n     line.drawLine(\n       centerX, centerY,\n       viewPixels[0], centerY,\n       spikeWidth[0], spikeColor[0])\n    }\n    if(spikeEnable[1]) {\n     line.drawLine(\n       centerX, centerY,\n       centerX, viewPixels[1],\n       spikeWidth[1], spikeColor[1])\n    }\n    if(spikeEnable[2]) {\n      line.drawLine(\n        centerX, centerY,\n        viewPixels[2], centerY,\n        spikeWidth[2], spikeColor[2])\n    }\n    if(spikeEnable[3]) {\n      line.drawLine(\n        centerX, centerY,\n        centerX, viewPixels[3],\n        spikeWidth[3], spikeColor[3])\n    }\n  }\n}\n\nproto.dispose = function() {\n  this.plot.removeOverlay(this)\n}\n\nfunction createSpikes2D(plot, options) {\n  var spikes = new GLSpikes2D(plot)\n  spikes.update(options)\n  plot.addOverlay(spikes)\n  return spikes\n}\n\n},{}],296:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar glslify      = _dereq_('glslify')\r\nvar createShader = _dereq_('gl-shader')\r\n\r\nvar vertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\"])\r\nvar fragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\"])\r\n\r\nmodule.exports = function(gl) {\r\n  return createShader(gl, vertSrc, fragSrc, null, [\r\n    {name: 'position', type: 'vec3'},\r\n    {name: 'color', type: 'vec3'},\r\n    {name: 'weight', type: 'float'}\r\n  ])\r\n}\r\n\n},{\"gl-shader\":288,\"glslify\":392}],297:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar createBuffer = _dereq_('gl-buffer')\r\nvar createVAO = _dereq_('gl-vao')\r\nvar createShader = _dereq_('./shaders/index')\r\n\r\nmodule.exports = createSpikes\r\n\r\nvar identity = [1,0,0,0,\r\n                0,1,0,0,\r\n                0,0,1,0,\r\n                0,0,0,1]\r\n\r\nfunction AxisSpikes(gl, buffer, vao, shader) {\r\n  this.gl         = gl\r\n  this.buffer     = buffer\r\n  this.vao        = vao\r\n  this.shader     = shader\r\n  this.pixelRatio = 1\r\n  this.bounds     = [[-1000,-1000,-1000], [1000,1000,1000]]\r\n  this.position   = [0,0,0]\r\n  this.lineWidth  = [2,2,2]\r\n  this.colors     = [[0,0,0,1], [0,0,0,1], [0,0,0,1]]\r\n  this.enabled    = [true,true,true]\r\n  this.drawSides  = [true,true,true]\r\n  this.axes       = null\r\n}\r\n\r\nvar proto = AxisSpikes.prototype\r\n\r\nvar OUTER_FACE = [0,0,0]\r\nvar INNER_FACE = [0,0,0]\r\n\r\nvar SHAPE = [0,0]\r\n\r\nproto.isTransparent = function() {\r\n  return false\r\n}\r\n\r\nproto.drawTransparent = function(camera) {}\r\n\r\nproto.draw = function(camera) {\r\n  var gl = this.gl\r\n  var vao = this.vao\r\n  var shader = this.shader\r\n\r\n  vao.bind()\r\n  shader.bind()\r\n\r\n  var model      = camera.model || identity\r\n  var view       = camera.view || identity\r\n  var projection = camera.projection || identity\r\n\r\n  var axis\r\n  if(this.axes) {\r\n    axis = this.axes.lastCubeProps.axis\r\n  }\r\n\r\n  var outerFace = OUTER_FACE\r\n  var innerFace = INNER_FACE\r\n  for(var i=0; i<3; ++i) {\r\n    if(axis && axis[i] < 0) {\r\n      outerFace[i] = this.bounds[0][i]\r\n      innerFace[i] = this.bounds[1][i]\r\n    } else {\r\n      outerFace[i] = this.bounds[1][i]\r\n      innerFace[i] = this.bounds[0][i]\r\n    }\r\n  }\r\n\r\n  SHAPE[0] = gl.drawingBufferWidth\r\n  SHAPE[1] = gl.drawingBufferHeight\r\n\r\n  shader.uniforms.model       = model\r\n  shader.uniforms.view        = view\r\n  shader.uniforms.projection  = projection\r\n  shader.uniforms.coordinates = [this.position, outerFace, innerFace]\r\n  shader.uniforms.colors      = this.colors\r\n  shader.uniforms.screenShape = SHAPE\r\n\r\n  for(var i=0; i<3; ++i) {\r\n    shader.uniforms.lineWidth = this.lineWidth[i] * this.pixelRatio\r\n    if(this.enabled[i]) {\r\n      vao.draw(gl.TRIANGLES, 6, 6*i)\r\n      if(this.drawSides[i]) {\r\n        vao.draw(gl.TRIANGLES, 12, 18+12*i)\r\n      }\r\n    }\r\n  }\r\n\r\n  vao.unbind()\r\n}\r\n\r\nproto.update = function(options) {\r\n  if(!options) {\r\n    return\r\n  }\r\n  if(\"bounds\" in options) {\r\n    this.bounds = options.bounds\r\n  }\r\n  if(\"position\" in options) {\r\n    this.position = options.position\r\n  }\r\n  if(\"lineWidth\" in options) {\r\n    this.lineWidth = options.lineWidth\r\n  }\r\n  if(\"colors\" in options) {\r\n    this.colors = options.colors\r\n  }\r\n  if(\"enabled\" in options) {\r\n    this.enabled = options.enabled\r\n  }\r\n  if(\"drawSides\" in options) {\r\n    this.drawSides = options.drawSides\r\n  }\r\n}\r\n\r\nproto.dispose = function() {\r\n  this.vao.dispose()\r\n  this.buffer.dispose()\r\n  this.shader.dispose()\r\n}\r\n\r\n\r\n\r\nfunction createSpikes(gl, options) {\r\n  //Create buffers\r\n  var data = [ ]\r\n\r\n  function line(x,y,z,i,l,h) {\r\n    var row = [x,y,z,  0,0,0,  1]\r\n    row[i+3] = 1\r\n    row[i] = l\r\n    data.push.apply(data, row)\r\n    row[6] = -1\r\n    data.push.apply(data, row)\r\n    row[i] = h\r\n    data.push.apply(data, row)\r\n    data.push.apply(data, row)\r\n    row[6] = 1\r\n    data.push.apply(data, row)\r\n    row[i] = l\r\n    data.push.apply(data, row)\r\n  }\r\n\r\n  line(0,0,0, 0, 0, 1)\r\n  line(0,0,0, 1, 0, 1)\r\n  line(0,0,0, 2, 0, 1)\r\n\r\n  line(1,0,0,  1,  -1,1)\r\n  line(1,0,0,  2,  -1,1)\r\n\r\n  line(0,1,0,  0,  -1,1)\r\n  line(0,1,0,  2,  -1,1)\r\n\r\n  line(0,0,1,  0,  -1,1)\r\n  line(0,0,1,  1,  -1,1)\r\n\r\n  var buffer = createBuffer(gl, data)\r\n  var vao = createVAO(gl, [{\r\n    type: gl.FLOAT,\r\n    buffer: buffer,\r\n    size: 3,\r\n    offset: 0,\r\n    stride: 28\r\n  }, {\r\n    type: gl.FLOAT,\r\n    buffer: buffer,\r\n    size: 3,\r\n    offset: 12,\r\n    stride: 28\r\n  }, {\r\n    type: gl.FLOAT,\r\n    buffer: buffer,\r\n    size: 1,\r\n    offset: 24,\r\n    stride: 28\r\n  }])\r\n\r\n  //Create shader\r\n  var shader = createShader(gl)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.color.location = 1\r\n  shader.attributes.weight.location = 2\r\n\r\n  //Create spike object\r\n  var spikes = new AxisSpikes(gl, buffer, vao, shader)\r\n\r\n  //Set parameters\r\n  spikes.update(options)\r\n\r\n  //Return resulting object\r\n  return spikes\r\n}\r\n\n},{\"./shaders/index\":296,\"gl-buffer\":230,\"gl-vao\":310}],298:[function(_dereq_,module,exports){\narguments[4][232][0].apply(exports,arguments)\n},{\"barycentric\":61,\"dup\":232,\"polytope-closest-point/lib/closest_point_2d.js\":464}],299:[function(_dereq_,module,exports){\nvar glslify       = _dereq_('glslify')\r\n\r\nvar triVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat inverse(float m) {\\n  return 1.0 / m;\\n}\\n\\nmat2 inverse(mat2 m) {\\n  return mat2(m[1][1],-m[0][1],\\n             -m[1][0], m[0][0]) / (m[0][0]*m[1][1] - m[0][1]*m[1][0]);\\n}\\n\\nmat3 inverse(mat3 m) {\\n  float a00 = m[0][0], a01 = m[0][1], a02 = m[0][2];\\n  float a10 = m[1][0], a11 = m[1][1], a12 = m[1][2];\\n  float a20 = m[2][0], a21 = m[2][1], a22 = m[2][2];\\n\\n  float b01 = a22 * a11 - a12 * a21;\\n  float b11 = -a22 * a10 + a12 * a20;\\n  float b21 = a21 * a10 - a11 * a20;\\n\\n  float det = a00 * b01 + a01 * b11 + a02 * b21;\\n\\n  return mat3(b01, (-a22 * a01 + a02 * a21), (a12 * a01 - a02 * a11),\\n              b11, (a22 * a00 - a02 * a20), (-a12 * a00 + a02 * a10),\\n              b21, (-a21 * a00 + a01 * a20), (a11 * a00 - a01 * a10)) / det;\\n}\\n\\nmat4 inverse(mat4 m) {\\n  float\\n      a00 = m[0][0], a01 = m[0][1], a02 = m[0][2], a03 = m[0][3],\\n      a10 = m[1][0], a11 = m[1][1], a12 = m[1][2], a13 = m[1][3],\\n      a20 = m[2][0], a21 = m[2][1], a22 = m[2][2], a23 = m[2][3],\\n      a30 = m[3][0], a31 = m[3][1], a32 = m[3][2], a33 = m[3][3],\\n\\n      b00 = a00 * a11 - a01 * a10,\\n      b01 = a00 * a12 - a02 * a10,\\n      b02 = a00 * a13 - a03 * a10,\\n      b03 = a01 * a12 - a02 * a11,\\n      b04 = a01 * a13 - a03 * a11,\\n      b05 = a02 * a13 - a03 * a12,\\n      b06 = a20 * a31 - a21 * a30,\\n      b07 = a20 * a32 - a22 * a30,\\n      b08 = a20 * a33 - a23 * a30,\\n      b09 = a21 * a32 - a22 * a31,\\n      b10 = a21 * a33 - a23 * a31,\\n      b11 = a22 * a33 - a23 * a32,\\n\\n      det = b00 * b11 - b01 * b10 + b02 * b09 + b03 * b08 - b04 * b07 + b05 * b06;\\n\\n  return mat4(\\n      a11 * b11 - a12 * b10 + a13 * b09,\\n      a02 * b10 - a01 * b11 - a03 * b09,\\n      a31 * b05 - a32 * b04 + a33 * b03,\\n      a22 * b04 - a21 * b05 - a23 * b03,\\n      a12 * b08 - a10 * b11 - a13 * b07,\\n      a00 * b11 - a02 * b08 + a03 * b07,\\n      a32 * b02 - a30 * b05 - a33 * b01,\\n      a20 * b05 - a22 * b02 + a23 * b01,\\n      a10 * b10 - a11 * b08 + a13 * b06,\\n      a01 * b08 - a00 * b10 - a03 * b06,\\n      a30 * b04 - a31 * b02 + a33 * b00,\\n      a21 * b02 - a20 * b04 - a23 * b00,\\n      a11 * b07 - a10 * b09 - a12 * b06,\\n      a00 * b09 - a01 * b07 + a02 * b06,\\n      a31 * b01 - a30 * b03 - a32 * b00,\\n      a20 * b03 - a21 * b01 + a22 * b00) / det;\\n}\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\nuniform float tubeScale;\\n\\nuniform mat4 model\\n           , view\\n           , projection;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  normal = normalize(normal * inverse(mat3(model)));\\n\\n  gl_Position      = projection * view * tubePosition;\\n  f_color          = color;\\n  f_normal         = normal;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_eyeDirection   = eyePosition   - tubePosition.xyz;\\n  f_lightDirection = lightPosition - tubePosition.xyz;\\n  f_uv             = uv;\\n}\\n\"])\r\nvar triFragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(!gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = cookTorranceSpecular(L, V, N, roughness, fresnel);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor =  texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\"])\r\nvar pickVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"])\r\nvar pickFragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"])\r\n\r\nexports.meshShader = {\r\n  vertex:   triVertSrc,\r\n  fragment: triFragSrc,\r\n  attributes: [\r\n    {name: 'position', type: 'vec4'},\r\n    {name: 'normal', type: 'vec3'},\r\n    {name: 'color', type: 'vec4'},\r\n    {name: 'uv', type: 'vec2'},\r\n    {name: 'vector', type: 'vec4'}\r\n  ]\r\n}\r\nexports.pickShader = {\r\n  vertex:   pickVertSrc,\r\n  fragment: pickFragSrc,\r\n  attributes: [\r\n    {name: 'position', type: 'vec4'},\r\n    {name: 'id', type: 'vec4'},\r\n    {name: 'vector', type: 'vec4'}\r\n  ]\r\n}\r\n\n},{\"glslify\":392}],300:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar DEFAULT_VERTEX_NORMALS_EPSILON = 1e-6; // may be too large if triangles are very small\r\nvar DEFAULT_FACE_NORMALS_EPSILON = 1e-6;\r\n\r\nvar createShader  = _dereq_('gl-shader')\r\nvar createBuffer  = _dereq_('gl-buffer')\r\nvar createVAO     = _dereq_('gl-vao')\r\nvar createTexture = _dereq_('gl-texture2d')\r\nvar normals       = _dereq_('normals')\r\nvar multiply      = _dereq_('gl-mat4/multiply')\r\nvar invert        = _dereq_('gl-mat4/invert')\r\nvar ndarray       = _dereq_('ndarray')\r\nvar colormap      = _dereq_('colormap')\r\nvar getContour    = _dereq_('simplicial-complex-contour')\r\nvar pool          = _dereq_('typedarray-pool')\r\nvar shaders       = _dereq_('./shaders')\r\nvar closestPoint  = _dereq_('./closest-point')\r\n\r\nvar meshShader    = shaders.meshShader\r\nvar pickShader    = shaders.pickShader\r\n\r\nvar identityMatrix = [\r\n  1,0,0,0,\r\n  0,1,0,0,\r\n  0,0,1,0,\r\n  0,0,0,1]\r\n\r\nfunction SimplicialMesh(gl\r\n  , texture\r\n  , triShader\r\n  , lineShader\r\n  , pointShader\r\n  , pickShader\r\n  , pointPickShader\r\n  , contourShader\r\n  , trianglePositions\r\n  , triangleVectors\r\n  , triangleIds\r\n  , triangleColors\r\n  , triangleUVs\r\n  , triangleNormals\r\n  , triangleVAO\r\n  , edgePositions\r\n  , edgeIds\r\n  , edgeColors\r\n  , edgeUVs\r\n  , edgeVAO\r\n  , pointPositions\r\n  , pointIds\r\n  , pointColors\r\n  , pointUVs\r\n  , pointSizes\r\n  , pointVAO\r\n  , contourPositions\r\n  , contourVAO) {\r\n\r\n  this.gl                = gl\r\n  this.cells             = []\r\n  this.positions         = []\r\n  this.intensity         = []\r\n  this.texture           = texture\r\n  this.dirty             = true\r\n\r\n  this.triShader         = triShader\r\n  this.lineShader        = lineShader\r\n  this.pointShader       = pointShader\r\n  this.pickShader        = pickShader\r\n  this.pointPickShader   = pointPickShader\r\n  this.contourShader     = contourShader\r\n\r\n  this.trianglePositions = trianglePositions\r\n  this.triangleVectors   = triangleVectors\r\n  this.triangleColors    = triangleColors\r\n  this.triangleNormals   = triangleNormals\r\n  this.triangleUVs       = triangleUVs\r\n  this.triangleIds       = triangleIds\r\n  this.triangleVAO       = triangleVAO\r\n  this.triangleCount     = 0\r\n\r\n  this.lineWidth         = 1\r\n  this.edgePositions     = edgePositions\r\n  this.edgeColors        = edgeColors\r\n  this.edgeUVs           = edgeUVs\r\n  this.edgeIds           = edgeIds\r\n  this.edgeVAO           = edgeVAO\r\n  this.edgeCount         = 0\r\n\r\n  this.pointPositions    = pointPositions\r\n  this.pointColors       = pointColors\r\n  this.pointUVs          = pointUVs\r\n  this.pointSizes        = pointSizes\r\n  this.pointIds          = pointIds\r\n  this.pointVAO          = pointVAO\r\n  this.pointCount        = 0\r\n\r\n  this.contourLineWidth  = 1\r\n  this.contourPositions  = contourPositions\r\n  this.contourVAO        = contourVAO\r\n  this.contourCount      = 0\r\n  this.contourColor      = [0,0,0]\r\n  this.contourEnable     = false\r\n\r\n  this.pickId            = 1\r\n  this.bounds            = [\r\n    [ Infinity, Infinity, Infinity],\r\n    [-Infinity,-Infinity,-Infinity] ]\r\n  this.clipBounds        = [\r\n    [-Infinity,-Infinity,-Infinity],\r\n    [ Infinity, Infinity, Infinity] ]\r\n\r\n  this.lightPosition = [1e5, 1e5, 0]\r\n  this.ambientLight  = 0.8\r\n  this.diffuseLight  = 0.8\r\n  this.specularLight = 2.0\r\n  this.roughness     = 0.5\r\n  this.fresnel       = 1.5\r\n\r\n  this.opacity       = 1.0\r\n\r\n  this.tubeScale     = 1.0\r\n\r\n  this._model       = identityMatrix\r\n  this._view        = identityMatrix\r\n  this._projection  = identityMatrix\r\n  this._resolution  = [1,1]\r\n}\r\n\r\nvar proto = SimplicialMesh.prototype\r\n\r\nproto.isOpaque = function() {\r\n  return this.opacity >= 1\r\n}\r\n\r\nproto.isTransparent = function() {\r\n  return this.opacity < 1\r\n}\r\n\r\nproto.pickSlots = 1\r\n\r\nproto.setPickBase = function(id) {\r\n  this.pickId = id\r\n}\r\n\r\nfunction genColormap(param) {\r\n  var colors = colormap({\r\n      colormap: param\r\n    , nshades:  256\r\n    , format:  'rgba'\r\n  })\r\n\r\n  var result = new Uint8Array(256*4)\r\n  for(var i=0; i<256; ++i) {\r\n    var c = colors[i]\r\n    for(var j=0; j<3; ++j) {\r\n      result[4*i+j] = c[j]\r\n    }\r\n    result[4*i+3] = c[3]*255\r\n  }\r\n\r\n  return ndarray(result, [256,256,4], [4,0,1])\r\n}\r\n\r\nfunction unpackIntensity(cells, numVerts, cellIntensity) {\r\n  var result = new Array(numVerts)\r\n  for(var i=0; i<numVerts; ++i) {\r\n    result[i] = 0\r\n  }\r\n  var numCells = cells.length\r\n  for(var i=0; i<numCells; ++i) {\r\n    var c = cells[i]\r\n    for(var j=0; j<c.length; ++j) {\r\n      result[c[j]] = cellIntensity[i]\r\n    }\r\n  }\r\n  return result\r\n}\r\n\r\nfunction takeZComponent(array) {\r\n  var n = array.length\r\n  var result = new Array(n)\r\n  for(var i=0; i<n; ++i) {\r\n    result[i] = array[i][2]\r\n  }\r\n  return result\r\n}\r\n\r\nproto.highlight = function(selection) {\r\n  if(!selection || !this.contourEnable) {\r\n    this.contourCount = 0\r\n    return\r\n  }\r\n  var level = getContour(this.cells, this.intensity, selection.intensity)\r\n  var cells         = level.cells\r\n  var vertexIds     = level.vertexIds\r\n  var vertexWeights = level.vertexWeights\r\n  var numCells = cells.length\r\n  var result = pool.mallocFloat32(2 * 3 * numCells)\r\n  var ptr = 0\r\n  for(var i=0; i<numCells; ++i) {\r\n    var c = cells[i]\r\n    for(var j=0; j<2; ++j) {\r\n      var v = c[0]\r\n      if(c.length === 2) {\r\n        v = c[j]\r\n      }\r\n      var a = vertexIds[v][0]\r\n      var b = vertexIds[v][1]\r\n      var w = vertexWeights[v]\r\n      var wi = 1.0 - w\r\n      var pa = this.positions[a]\r\n      var pb = this.positions[b]\r\n      for(var k=0; k<3; ++k) {\r\n        result[ptr++] = w * pa[k] + wi * pb[k]\r\n      }\r\n    }\r\n  }\r\n  this.contourCount = (ptr / 3)|0\r\n  this.contourPositions.update(result.subarray(0, ptr))\r\n  pool.free(result)\r\n}\r\n\r\nproto.update = function(params) {\r\n  params = params || {}\r\n  var gl = this.gl\r\n\r\n  this.dirty = true\r\n\r\n  if('contourEnable' in params) {\r\n    this.contourEnable = params.contourEnable\r\n  }\r\n  if('contourColor' in params) {\r\n    this.contourColor = params.contourColor\r\n  }\r\n  if('lineWidth' in params) {\r\n    this.lineWidth = params.lineWidth\r\n  }\r\n  if('lightPosition' in params) {\r\n    this.lightPosition = params.lightPosition\r\n  }\r\n  if('opacity' in params) {\r\n    this.opacity = params.opacity\r\n  }\r\n  if('ambient' in params) {\r\n    this.ambientLight  = params.ambient\r\n  }\r\n  if('diffuse' in params) {\r\n    this.diffuseLight = params.diffuse\r\n  }\r\n  if('specular' in params) {\r\n    this.specularLight = params.specular\r\n  }\r\n  if('roughness' in params) {\r\n    this.roughness = params.roughness\r\n  }\r\n  if('fresnel' in params) {\r\n    this.fresnel = params.fresnel\r\n  }\r\n\r\n  if(params.texture) {\r\n    this.texture.dispose()\r\n    this.texture = createTexture(gl, params.texture)\r\n  } else if (params.colormap) {\r\n    this.texture.shape = [256,256]\r\n    this.texture.minFilter = gl.LINEAR_MIPMAP_LINEAR\r\n    this.texture.magFilter = gl.LINEAR\r\n    this.texture.setPixels(genColormap(params.colormap))\r\n    this.texture.generateMipmap()\r\n  }\r\n\r\n  var cells = params.cells\r\n  var positions = params.positions\r\n  var vectors = params.vectors\r\n\r\n  if(!positions || !cells || !vectors) {\r\n    return\r\n  }\r\n\r\n  if (params.tubeScale !== undefined) {\r\n    this.tubeScale = params.tubeScale;\r\n  }\r\n\r\n  var tPos = []\r\n  var tVec = []\r\n  var tCol = []\r\n  var tNor = []\r\n  var tUVs = []\r\n  var tIds = []\r\n\r\n  var ePos = []\r\n  var eCol = []\r\n  var eUVs = []\r\n  var eIds = []\r\n\r\n  var pPos = []\r\n  var pCol = []\r\n  var pUVs = []\r\n  var pSiz = []\r\n  var pIds = []\r\n\r\n  //Save geometry data for picking calculations\r\n  this.cells     = cells\r\n  this.positions = positions\r\n  this.vectors   = vectors\r\n\r\n  //Compute normals\r\n  var vertexNormals = params.vertexNormals\r\n  var cellNormals   = params.cellNormals\r\n  var vertexNormalsEpsilon = params.vertexNormalsEpsilon === void(0) ? DEFAULT_VERTEX_NORMALS_EPSILON : params.vertexNormalsEpsilon\r\n  var faceNormalsEpsilon = params.faceNormalsEpsilon === void(0) ? DEFAULT_FACE_NORMALS_EPSILON : params.faceNormalsEpsilon\r\n  if(params.useFacetNormals && !cellNormals) {\r\n    cellNormals = normals.faceNormals(cells, positions, faceNormalsEpsilon)\r\n  }\r\n  if(!cellNormals && !vertexNormals) {\r\n    vertexNormals = normals.vertexNormals(cells, positions, vertexNormalsEpsilon)\r\n  }\r\n\r\n  //Compute colors\r\n  var vertexColors    = params.vertexColors\r\n  var cellColors      = params.cellColors\r\n  var meshColor       = params.meshColor || [1,1,1,1]\r\n\r\n  //UVs\r\n  var vertexUVs       = params.vertexUVs\r\n  var vertexIntensity = params.vertexIntensity\r\n  var cellUVs         = params.cellUVs\r\n  var cellIntensity   = params.cellIntensity\r\n\r\n  var intensityLo     = Infinity\r\n  var intensityHi     = -Infinity\r\n  if(!vertexUVs && !cellUVs) {\r\n    if(vertexIntensity) {\r\n      if(params.vertexIntensityBounds) {\r\n        intensityLo = +params.vertexIntensityBounds[0]\r\n        intensityHi = +params.vertexIntensityBounds[1]\r\n      } else {\r\n        for(var i=0; i<vertexIntensity.length; ++i) {\r\n          var f = vertexIntensity[i]\r\n          intensityLo = Math.min(intensityLo, f)\r\n          intensityHi = Math.max(intensityHi, f)\r\n        }\r\n      }\r\n    } else if(cellIntensity) {\r\n      for(var i=0; i<cellIntensity.length; ++i) {\r\n        var f = cellIntensity[i]\r\n        intensityLo = Math.min(intensityLo, f)\r\n        intensityHi = Math.max(intensityHi, f)\r\n      }\r\n    } else {\r\n      for(var i=0; i<positions.length; ++i) {\r\n        var f = positions[i][2]\r\n        intensityLo = Math.min(intensityLo, f)\r\n        intensityHi = Math.max(intensityHi, f)\r\n      }\r\n    }\r\n  }\r\n\r\n  if(vertexIntensity) {\r\n    this.intensity = vertexIntensity\r\n  } else if(cellIntensity) {\r\n    this.intensity = unpackIntensity(cells, positions.length, cellIntensity)\r\n  } else {\r\n    this.intensity = takeZComponent(positions)\r\n  }\r\n\r\n  //Point size\r\n  var pointSizes      = params.pointSizes\r\n  var meshPointSize   = params.pointSize || 1.0\r\n\r\n  //Update bounds\r\n  this.bounds       = [[Infinity,Infinity,Infinity], [-Infinity,-Infinity,-Infinity]]\r\n  for(var i=0; i<positions.length; ++i) {\r\n    var p = positions[i]\r\n    for(var j=0; j<3; ++j) {\r\n      if(isNaN(p[j]) || !isFinite(p[j])) {\r\n        continue\r\n      }\r\n      this.bounds[0][j] = Math.min(this.bounds[0][j], p[j])\r\n      this.bounds[1][j] = Math.max(this.bounds[1][j], p[j])\r\n    }\r\n  }\r\n\r\n  //Pack cells into buffers\r\n  var triangleCount = 0\r\n  var edgeCount = 0\r\n  var pointCount = 0\r\n\r\nfill_loop:\r\n  for(var i=0; i<cells.length; ++i) {\r\n    var cell = cells[i]\r\n    switch(cell.length) {\r\n      case 1:\r\n\r\n        var v = cell[0]\r\n        var p = positions[v]\r\n\r\n        //Check NaNs\r\n        for(var j=0; j<3; ++j) {\r\n          if(isNaN(p[j]) || !isFinite(p[j])) {\r\n            continue fill_loop\r\n          }\r\n        }\r\n\r\n        pPos.push(p[0], p[1], p[2], p[3])\r\n\r\n        var c\r\n        if(vertexColors) {\r\n          c = vertexColors[v]\r\n        } else if(cellColors) {\r\n          c = cellColors[i]\r\n        } else {\r\n          c = meshColor\r\n        }\r\n        if(c.length === 3) {\r\n          pCol.push(c[0], c[1], c[2], 1)\r\n        } else {\r\n          pCol.push(c[0], c[1], c[2], c[3])\r\n        }\r\n\r\n        var uv\r\n        if(vertexUVs) {\r\n          uv = vertexUVs[v]\r\n        } else if(vertexIntensity) {\r\n          uv = [\r\n            (vertexIntensity[v] - intensityLo) /\r\n            (intensityHi - intensityLo), 0]\r\n        } else if(cellUVs) {\r\n          uv = cellUVs[i]\r\n        } else if(cellIntensity) {\r\n          uv = [\r\n            (cellIntensity[i] - intensityLo) /\r\n            (intensityHi - intensityLo), 0]\r\n        } else {\r\n          uv = [\r\n            (p[2] - intensityLo) /\r\n            (intensityHi - intensityLo), 0]\r\n        }\r\n        pUVs.push(uv[0], uv[1])\r\n\r\n        if(pointSizes) {\r\n          pSiz.push(pointSizes[v])\r\n        } else {\r\n          pSiz.push(meshPointSize)\r\n        }\r\n\r\n        pIds.push(i)\r\n\r\n        pointCount += 1\r\n      break\r\n\r\n      case 2:\r\n\r\n        //Check NaNs\r\n        for(var j=0; j<2; ++j) {\r\n          var v = cell[j]\r\n          var p = positions[v]\r\n          for(var k=0; k<3; ++k) {\r\n            if(isNaN(p[k]) || !isFinite(p[k])) {\r\n              continue fill_loop\r\n            }\r\n          }\r\n        }\r\n\r\n        for(var j=0; j<2; ++j) {\r\n          var v = cell[j]\r\n          var p = positions[v]\r\n\r\n          ePos.push(p[0], p[1], p[2])\r\n\r\n          var c\r\n          if(vertexColors) {\r\n            c = vertexColors[v]\r\n          } else if(cellColors) {\r\n            c = cellColors[i]\r\n          } else {\r\n            c = meshColor\r\n          }\r\n          if(c.length === 3) {\r\n            eCol.push(c[0], c[1], c[2], 1)\r\n          } else {\r\n            eCol.push(c[0], c[1], c[2], c[3])\r\n          }\r\n\r\n          var uv\r\n          if(vertexUVs) {\r\n            uv = vertexUVs[v]\r\n          } else if(vertexIntensity) {\r\n            uv = [\r\n              (vertexIntensity[v] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else if(cellUVs) {\r\n            uv = cellUVs[i]\r\n          } else if(cellIntensity) {\r\n            uv = [\r\n              (cellIntensity[i] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else {\r\n            uv = [\r\n              (p[2] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          }\r\n          eUVs.push(uv[0], uv[1])\r\n\r\n          eIds.push(i)\r\n        }\r\n        edgeCount += 1\r\n      break\r\n\r\n      case 3:\r\n        //Check NaNs\r\n        for(var j=0; j<3; ++j) {\r\n          var v = cell[j]\r\n          var p = positions[v]\r\n          for(var k=0; k<3; ++k) {\r\n            if(isNaN(p[k]) || !isFinite(p[k])) {\r\n              continue fill_loop\r\n            }\r\n          }\r\n        }\r\n\r\n        for(var j=0; j<3; ++j) {\r\n          var v = cell[j]\r\n\r\n          var p = positions[v]\r\n          tPos.push(p[0], p[1], p[2], p[3])\r\n\r\n          var w = vectors[v]\r\n          tVec.push(w[0], w[1], w[2], w[3]);\r\n\r\n          var c\r\n          if(vertexColors) {\r\n            c = vertexColors[v]\r\n          } else if(cellColors) {\r\n            c = cellColors[i]\r\n          } else {\r\n            c = meshColor\r\n          }\r\n          if(c.length === 3) {\r\n            tCol.push(c[0], c[1], c[2], 1)\r\n          } else {\r\n            tCol.push(c[0], c[1], c[2], c[3])\r\n          }\r\n\r\n          var uv\r\n          if(vertexUVs) {\r\n            uv = vertexUVs[v]\r\n          } else if(vertexIntensity) {\r\n            uv = [\r\n              (vertexIntensity[v] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else if(cellUVs) {\r\n            uv = cellUVs[i]\r\n          } else if(cellIntensity) {\r\n            uv = [\r\n              (cellIntensity[i] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          } else {\r\n            uv = [\r\n              (p[2] - intensityLo) /\r\n              (intensityHi - intensityLo), 0]\r\n          }\r\n          tUVs.push(uv[0], uv[1])\r\n\r\n          var q\r\n          if(vertexNormals) {\r\n            q = vertexNormals[v]\r\n          } else {\r\n            q = cellNormals[i]\r\n          }\r\n          tNor.push(q[0], q[1], q[2])\r\n\r\n          tIds.push(i)\r\n        }\r\n        triangleCount += 1\r\n      break\r\n\r\n      default:\r\n      break\r\n    }\r\n  }\r\n\r\n  this.pointCount     = pointCount\r\n  this.edgeCount      = edgeCount\r\n  this.triangleCount  = triangleCount\r\n\r\n  this.pointPositions.update(pPos)\r\n  this.pointColors.update(pCol)\r\n  this.pointUVs.update(pUVs)\r\n  this.pointSizes.update(pSiz)\r\n  this.pointIds.update(new Uint32Array(pIds))\r\n\r\n  this.edgePositions.update(ePos)\r\n  this.edgeColors.update(eCol)\r\n  this.edgeUVs.update(eUVs)\r\n  this.edgeIds.update(new Uint32Array(eIds))\r\n\r\n  this.trianglePositions.update(tPos)\r\n  this.triangleVectors.update(tVec)\r\n  this.triangleColors.update(tCol)\r\n  this.triangleUVs.update(tUVs)\r\n  this.triangleNormals.update(tNor)\r\n  this.triangleIds.update(new Uint32Array(tIds))\r\n}\r\n\r\nproto.drawTransparent = proto.draw = function(params) {\r\n  params = params || {}\r\n  var gl          = this.gl\r\n  var model       = params.model      || identityMatrix\r\n  var view        = params.view       || identityMatrix\r\n  var projection  = params.projection || identityMatrix\r\n\r\n  var clipBounds = [[-1e6,-1e6,-1e6],[1e6,1e6,1e6]]\r\n  for(var i=0; i<3; ++i) {\r\n    clipBounds[0][i] = Math.max(clipBounds[0][i], this.clipBounds[0][i])\r\n    clipBounds[1][i] = Math.min(clipBounds[1][i], this.clipBounds[1][i])\r\n  }\r\n\r\n  var uniforms = {\r\n    model:      model,\r\n    view:       view,\r\n    projection: projection,\r\n\r\n    clipBounds: clipBounds,\r\n\r\n    kambient:   this.ambientLight,\r\n    kdiffuse:   this.diffuseLight,\r\n    kspecular:  this.specularLight,\r\n    roughness:  this.roughness,\r\n    fresnel:    this.fresnel,\r\n\r\n    eyePosition:   [0,0,0],\r\n    lightPosition: [0,0,0],\r\n\r\n    opacity:  this.opacity,\r\n\r\n    tubeScale: this.tubeScale,\r\n\r\n    contourColor: this.contourColor,\r\n\r\n    texture:    0\r\n  }\r\n\r\n  this.texture.bind(0)\r\n\r\n  var invCameraMatrix = new Array(16)\r\n  multiply(invCameraMatrix, uniforms.view, uniforms.model)\r\n  multiply(invCameraMatrix, uniforms.projection, invCameraMatrix)\r\n  invert(invCameraMatrix, invCameraMatrix)\r\n\r\n  for(var i=0; i<3; ++i) {\r\n    uniforms.eyePosition[i] = invCameraMatrix[12+i] / invCameraMatrix[15]\r\n  }\r\n\r\n  var w = invCameraMatrix[15]\r\n  for(var i=0; i<3; ++i) {\r\n    w += this.lightPosition[i] * invCameraMatrix[4*i+3]\r\n  }\r\n  for(var i=0; i<3; ++i) {\r\n    var s = invCameraMatrix[12+i]\r\n    for(var j=0; j<3; ++j) {\r\n      s += invCameraMatrix[4*j+i] * this.lightPosition[j]\r\n    }\r\n    uniforms.lightPosition[i] = s / w\r\n  }\r\n\r\n  if(this.triangleCount > 0) {\r\n    var shader = this.triShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.triangleVAO.bind()\r\n    gl.drawArrays(gl.TRIANGLES, 0, this.triangleCount*3)\r\n    this.triangleVAO.unbind()\r\n  }\r\n\r\n  if(this.edgeCount > 0 && this.lineWidth > 0) {\r\n    var shader = this.lineShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.edgeVAO.bind()\r\n    gl.lineWidth(this.lineWidth)\r\n    gl.drawArrays(gl.LINES, 0, this.edgeCount*2)\r\n    this.edgeVAO.unbind()\r\n  }\r\n\r\n  if(this.pointCount > 0) {\r\n    var shader = this.pointShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.pointVAO.bind()\r\n    gl.drawArrays(gl.POINTS, 0, this.pointCount)\r\n    this.pointVAO.unbind()\r\n  }\r\n\r\n  if(this.contourEnable && this.contourCount > 0 && this.contourLineWidth > 0) {\r\n    var shader = this.contourShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.contourVAO.bind()\r\n    gl.drawArrays(gl.LINES, 0, this.contourCount)\r\n    this.contourVAO.unbind()\r\n  }\r\n}\r\n\r\nproto.drawPick = function(params) {\r\n  params = params || {}\r\n\r\n  var gl         = this.gl\r\n\r\n  var model      = params.model      || identityMatrix\r\n  var view       = params.view       || identityMatrix\r\n  var projection = params.projection || identityMatrix\r\n\r\n  var clipBounds = [[-1e6,-1e6,-1e6],[1e6,1e6,1e6]]\r\n  for(var i=0; i<3; ++i) {\r\n    clipBounds[0][i] = Math.max(clipBounds[0][i], this.clipBounds[0][i])\r\n    clipBounds[1][i] = Math.min(clipBounds[1][i], this.clipBounds[1][i])\r\n  }\r\n\r\n  //Save camera parameters\r\n  this._model      = [].slice.call(model)\r\n  this._view       = [].slice.call(view)\r\n  this._projection = [].slice.call(projection)\r\n  this._resolution = [gl.drawingBufferWidth, gl.drawingBufferHeight]\r\n\r\n  var uniforms = {\r\n    model:      model,\r\n    view:       view,\r\n    projection: projection,\r\n    clipBounds: clipBounds,\r\n\r\n    tubeScale: this.tubeScale,\r\n\r\n    pickId:     this.pickId / 255.0,\r\n  }\r\n\r\n  var shader = this.pickShader\r\n  shader.bind()\r\n  shader.uniforms = uniforms\r\n\r\n  if(this.triangleCount > 0) {\r\n    this.triangleVAO.bind()\r\n    gl.drawArrays(gl.TRIANGLES, 0, this.triangleCount*3)\r\n    this.triangleVAO.unbind()\r\n  }\r\n\r\n  if(this.edgeCount > 0) {\r\n    this.edgeVAO.bind()\r\n    gl.lineWidth(this.lineWidth)\r\n    gl.drawArrays(gl.LINES, 0, this.edgeCount*2)\r\n    this.edgeVAO.unbind()\r\n  }\r\n\r\n  if(this.pointCount > 0) {\r\n    var shader = this.pointPickShader\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    this.pointVAO.bind()\r\n    gl.drawArrays(gl.POINTS, 0, this.pointCount)\r\n    this.pointVAO.unbind()\r\n  }\r\n}\r\n\r\n\r\nproto.pick = function(pickData) {\r\n  if(!pickData) {\r\n    return null\r\n  }\r\n  if(pickData.id !== this.pickId) {\r\n    return null\r\n  }\r\n\r\n  var cellId = pickData.value[0] + 256*pickData.value[1] + 65536*pickData.value[2]\r\n  var cell = this.cells[cellId]\r\n\r\n  var pos = this.positions[cell[1]].slice(0, 3)\r\n  var intensity = this.intensity[cell[1]]\r\n  var velocity = this.vectors[cell[1]].slice(0, 3)\r\n  var divergence = this.vectors[cell[1]][3]\r\n\r\n  return {\r\n    index: cellId,\r\n    position: pos,\r\n    intensity: intensity,\r\n    velocity: velocity,\r\n    divergence: divergence,\r\n    dataCoordinate: pos\r\n  }\r\n}\r\n\r\n\r\nproto.dispose = function() {\r\n  this.texture.dispose()\r\n\r\n  this.triShader.dispose()\r\n  // this.lineShader.dispose()\r\n  // this.pointShader.dispose()\r\n  this.pickShader.dispose()\r\n  // this.pointPickShader.dispose()\r\n\r\n  this.triangleVAO.dispose()\r\n  this.trianglePositions.dispose()\r\n  this.triangleVectors.dispose()\r\n  this.triangleColors.dispose()\r\n  this.triangleUVs.dispose()\r\n  this.triangleNormals.dispose()\r\n  this.triangleIds.dispose()\r\n\r\n  this.edgeVAO.dispose()\r\n  this.edgePositions.dispose()\r\n  this.edgeColors.dispose()\r\n  this.edgeUVs.dispose()\r\n  this.edgeIds.dispose()\r\n\r\n  this.pointVAO.dispose()\r\n  this.pointPositions.dispose()\r\n  this.pointColors.dispose()\r\n  this.pointUVs.dispose()\r\n  this.pointSizes.dispose()\r\n  this.pointIds.dispose()\r\n\r\n  this.contourVAO.dispose()\r\n  this.contourPositions.dispose()\r\n  // this.contourShader.dispose()\r\n}\r\n\r\nfunction createMeshShader(gl) {\r\n  var shader = createShader(gl, meshShader.vertex, meshShader.fragment, null, meshShader.attributes)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.color.location    = 2\r\n  shader.attributes.uv.location       = 3\r\n  shader.attributes.vector.location   = 5\r\n  return shader\r\n}\r\n\r\nfunction createWireShader(gl) {\r\n  var shader = createShader(gl, wireShader.vertex, wireShader.fragment)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.color.location    = 2\r\n  shader.attributes.uv.location       = 3\r\n  return shader\r\n}\r\n\r\nfunction createPointShader(gl) {\r\n  var shader = createShader(gl, pointShader.vertex, pointShader.fragment)\r\n  shader.attributes.position.location  = 0\r\n  shader.attributes.color.location     = 2\r\n  shader.attributes.uv.location        = 3\r\n  shader.attributes.pointSize.location = 4\r\n  return shader\r\n}\r\n\r\nfunction createPickShader(gl) {\r\n  var shader = createShader(gl, pickShader.vertex, pickShader.fragment, null, pickShader.attributes)\r\n  shader.attributes.position.location = 0\r\n  shader.attributes.id.location       = 1\r\n  shader.attributes.vector.location   = 5\r\n  return shader\r\n}\r\n\r\nfunction createPointPickShader(gl) {\r\n  var shader = createShader(gl, pointPickShader.vertex, pointPickShader.fragment)\r\n  shader.attributes.position.location  = 0\r\n  shader.attributes.id.location        = 1\r\n  shader.attributes.pointSize.location = 4\r\n  return shader\r\n}\r\n\r\nfunction createContourShader(gl) {\r\n  var shader = createShader(gl, contourShader.vertex, contourShader.fragment)\r\n  shader.attributes.position.location = 0\r\n  return shader\r\n}\r\n\r\nfunction createSimplicialMesh(gl, params) {\r\n  if (arguments.length === 1) {\r\n    params = gl;\r\n    gl = params.gl;\r\n  }\r\n\r\n  var triShader       = params.triShader || createMeshShader(gl)\r\n  var lineShader      = null; //createWireShader(gl)\r\n  var pointShader     = null; //createPointShader(gl)\r\n  var pickShader      = createPickShader(gl)\r\n  var pointPickShader = null; //createPointPickShader(gl)\r\n  var contourShader   = null; //createContourShader(gl)\r\n\r\n  var meshTexture       = createTexture(gl,\r\n    ndarray(new Uint8Array([255,255,255,255]), [1,1,4]))\r\n  meshTexture.generateMipmap()\r\n  meshTexture.minFilter = gl.LINEAR_MIPMAP_LINEAR\r\n  meshTexture.magFilter = gl.LINEAR\r\n\r\n  var trianglePositions = createBuffer(gl)\r\n  var triangleVectors   = createBuffer(gl)\r\n  var triangleColors    = createBuffer(gl)\r\n  var triangleUVs       = createBuffer(gl)\r\n  var triangleNormals   = createBuffer(gl)\r\n  var triangleIds       = createBuffer(gl)\r\n  var triangleVAO       = createVAO(gl, [\r\n    { buffer: trianglePositions,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: triangleIds,\r\n      type: gl.UNSIGNED_BYTE,\r\n      size: 4,\r\n      normalized: true\r\n    },\r\n    { buffer: triangleColors,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: triangleUVs,\r\n      type: gl.FLOAT,\r\n      size: 2\r\n    },\r\n    { buffer: triangleNormals,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    },\r\n    { buffer: triangleVectors,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    }\r\n  ])\r\n\r\n  var edgePositions = createBuffer(gl)\r\n  var edgeColors    = createBuffer(gl)\r\n  var edgeUVs       = createBuffer(gl)\r\n  var edgeIds       = createBuffer(gl)\r\n  var edgeVAO       = createVAO(gl, [\r\n    { buffer: edgePositions,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    },\r\n    { buffer: edgeIds,\r\n      type: gl.UNSIGNED_BYTE,\r\n      size: 4,\r\n      normalized: true\r\n    },\r\n    { buffer: edgeColors,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: edgeUVs,\r\n      type: gl.FLOAT,\r\n      size: 2\r\n    }\r\n  ])\r\n\r\n  var pointPositions  = createBuffer(gl)\r\n  var pointColors     = createBuffer(gl)\r\n  var pointUVs        = createBuffer(gl)\r\n  var pointSizes      = createBuffer(gl)\r\n  var pointIds        = createBuffer(gl)\r\n  var pointVAO        = createVAO(gl, [\r\n    { buffer: pointPositions,\r\n      type: gl.FLOAT,\r\n      size: 3\r\n    },\r\n    { buffer: pointIds,\r\n      type: gl.UNSIGNED_BYTE,\r\n      size: 4,\r\n      normalized: true\r\n    },\r\n    { buffer: pointColors,\r\n      type: gl.FLOAT,\r\n      size: 4\r\n    },\r\n    { buffer: pointUVs,\r\n      type: gl.FLOAT,\r\n      size: 2\r\n    },\r\n    { buffer: pointSizes,\r\n      type: gl.FLOAT,\r\n      size: 1\r\n    }\r\n  ])\r\n\r\n  var contourPositions = createBuffer(gl)\r\n  var contourVAO       = createVAO(gl, [\r\n    { buffer: contourPositions,\r\n      type:   gl.FLOAT,\r\n      size:   3\r\n    }])\r\n\r\n  var mesh = new SimplicialMesh(gl\r\n    , meshTexture\r\n    , triShader\r\n    , lineShader\r\n    , pointShader\r\n    , pickShader\r\n    , pointPickShader\r\n    , contourShader\r\n    , trianglePositions\r\n    , triangleVectors\r\n    , triangleIds\r\n    , triangleColors\r\n    , triangleUVs\r\n    , triangleNormals\r\n    , triangleVAO\r\n    , edgePositions\r\n    , edgeIds\r\n    , edgeColors\r\n    , edgeUVs\r\n    , edgeVAO\r\n    , pointPositions\r\n    , pointIds\r\n    , pointColors\r\n    , pointUVs\r\n    , pointSizes\r\n    , pointVAO\r\n    , contourPositions\r\n    , contourVAO)\r\n\r\n  mesh.update(params)\r\n\r\n  return mesh\r\n}\r\n\r\nmodule.exports = createSimplicialMesh\r\n\n},{\"./closest-point\":298,\"./shaders\":299,\"colormap\":114,\"gl-buffer\":230,\"gl-mat4/invert\":254,\"gl-mat4/multiply\":256,\"gl-shader\":288,\"gl-texture2d\":305,\"gl-vao\":310,\"ndarray\":433,\"normals\":436,\"simplicial-complex-contour\":494,\"typedarray-pool\":522}],301:[function(_dereq_,module,exports){\n\"use strict\";\r\n\r\nvar vec3 = _dereq_('gl-vec3');\r\nvar vec4 = _dereq_('gl-vec4');\r\n\r\nvar streamToTube = function(stream, maxDivergence, minDistance, maxNorm) {\r\n\tvar points = stream.points;\r\n\tvar velocities = stream.velocities;\r\n\tvar divergences = stream.divergences;\r\n\r\n\tvar p, fwd, r, u, v, up;\r\n\tup = vec3.set(vec3.create(), 0, 1, 0);\r\n\tu = vec3.create();\r\n\tv = vec3.create();\r\n\tvar p2 = vec3.create();\r\n\r\n\tvar verts = [];\r\n\tvar faces = [];\r\n\tvar vectors = [];\r\n\tvar previousVerts = [];\r\n\tvar currentVerts = [];\r\n\tvar intensities = [];\r\n\tvar previousIntensity = 0;\r\n\tvar currentIntensity = 0;\r\n\tvar currentVector = vec4.create();\r\n\tvar previousVector = vec4.create();\r\n\r\n\tvar facets = 8;\r\n\r\n\tfor (var i = 0; i < points.length; i++) {\r\n\t\tp = points[i];\r\n\t\tfwd = velocities[i];\r\n\t\tr = divergences[i];\r\n\t\tif (maxDivergence === 0) {\r\n\t\t\tr = minDistance * 0.05;\r\n\t\t}\r\n\t\tcurrentIntensity = vec3.length(fwd) / maxNorm;\r\n\t\tcurrentVector = vec4.create();\r\n\t\tvec3.copy(currentVector, fwd);\r\n\t\tcurrentVector[3] = r;\r\n\t\t\r\n\t\tfor (var a = 0; a < facets; a++) {\r\n\t\t\tcurrentVerts[a] = [p[0], p[1], p[2], a];\r\n\t\t}\r\n\t\tif (previousVerts.length > 0) {\r\n\t\t\tfor (var a = 0; a < facets; a++) {\r\n\t\t\t\tvar a1 = (a+1) % facets;\r\n\t\t\t\tverts.push(\r\n\t\t\t\t\tpreviousVerts[a],\r\n\t\t\t\t\tcurrentVerts[a],\r\n\t\t\t\t\tcurrentVerts[a1],\r\n\r\n\t\t\t\t\tcurrentVerts[a1],\r\n\t\t\t\t\tpreviousVerts[a1],\r\n\t\t\t\t\tpreviousVerts[a]\r\n\t\t\t\t);\r\n\t\t\t\tvectors.push(\r\n\t\t\t\t\tpreviousVector,\r\n\t\t\t\t\tcurrentVector,\r\n\t\t\t\t\tcurrentVector,\r\n\r\n\t\t\t\t\tcurrentVector,\r\n\t\t\t\t\tpreviousVector,\r\n\t\t\t\t\tpreviousVector\r\n\t\t\t\t);\r\n\t\t\t\tintensities.push(\r\n\t\t\t\t\tpreviousIntensity,\r\n\t\t\t\t\tcurrentIntensity,\r\n\t\t\t\t\tcurrentIntensity,\r\n\r\n\t\t\t\t\tcurrentIntensity,\r\n\t\t\t\t\tpreviousIntensity,\r\n\t\t\t\t\tpreviousIntensity\r\n\t\t\t\t);\r\n\t\t\t\tfaces.push(\r\n\t\t\t\t\t[verts.length-6, verts.length-5, verts.length-4],\r\n\t\t\t\t\t[verts.length-3, verts.length-2, verts.length-1]\r\n\t\t\t\t);\r\n\t\t\t}\r\n\t\t}\r\n\t\tvar tmp = previousVerts;\r\n\t\tpreviousVerts = currentVerts;\r\n\t\tcurrentVerts = tmp;\r\n\t\ttmp = previousVector;\r\n\t\tpreviousVector = currentVector;\r\n\t\tcurrentVector = tmp;\r\n\t\ttmp = previousIntensity;\r\n\t\tpreviousIntensity = currentIntensity;\r\n\t\tcurrentIntensity = tmp;\r\n\t}\r\n\treturn {\r\n\t\tpositions: verts,\r\n\t\tcells: faces,\r\n\t\tvectors: vectors,\r\n\t\tvertexIntensity: intensities\r\n\t};\r\n\r\n};\r\n\r\nvar createTubes = function(streams, colormap, maxDivergence, minDistance) {\r\n\r\n\tvar maxNorm = 0;\r\n\tfor (var i=0; i<streams.length; i++) {\r\n\t\tvar velocities = streams[i].velocities;\r\n\t\tfor (var j=0; j<velocities.length; j++) {\r\n\t\t\tvar norm = vec3.length(velocities[j]);\r\n\t\t\tif (norm > maxNorm) {\r\n\t\t\t\tmaxNorm = norm;\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n\r\n\tvar tubes = streams.map(function(s) {\r\n\t\treturn streamToTube(s, maxDivergence, minDistance, maxNorm);\r\n\t});\r\n\r\n\tvar positions = [];\r\n\tvar cells = [];\r\n\tvar vectors = [];\r\n\tvar vertexIntensity = [];\r\n\tfor (var i=0; i < tubes.length; i++) {\r\n\t\tvar tube = tubes[i];\r\n\t\tvar offset = positions.length;\r\n\t\tpositions = positions.concat(tube.positions);\r\n\t\tvectors = vectors.concat(tube.vectors);\r\n\t\tvertexIntensity = vertexIntensity.concat(tube.vertexIntensity);\r\n\t\tfor (var j=0; j<tube.cells.length; j++) {\r\n\t\t\tvar cell = tube.cells[j];\r\n\t\t\tvar newCell = [];\r\n\t\t\tcells.push(newCell);\r\n\t\t\tfor (var k=0; k<cell.length; k++) {\r\n\t\t\t\tnewCell.push(cell[k] + offset);\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n\treturn {\r\n\t\tpositions: positions,\r\n\t\tcells: cells,\r\n\t\tvectors: vectors,\r\n\t\tvertexIntensity: vertexIntensity,\r\n\t\tcolormap: colormap\r\n\t};\r\n};\r\n\r\nvar defaultGetDivergence = function(p, v0) {\r\n\tvar dp = vec3.create();\r\n\tvar e = 1/10000;\r\n\r\n\tvec3.add(dp, p, [e, 0, 0]);\r\n\tvar vx = this.getVelocity(dp);\r\n\tvec3.subtract(vx, vx, v0);\r\n\tvec3.scale(vx, vx, 1/e);\r\n\r\n\tvec3.add(dp, p, [0, e, 0]);\r\n\tvar vy = this.getVelocity(dp);\r\n\tvec3.subtract(vy, vy, v0);\r\n\tvec3.scale(vy, vy, 1/e);\r\n\r\n\tvec3.add(dp, p, [0, 0, e]);\r\n\tvar vz = this.getVelocity(dp);\r\n\tvec3.subtract(vz, vz, v0);\r\n\tvec3.scale(vz, vz, 1/e);\r\n\r\n\tvec3.add(dp, vx, vy);\r\n\tvec3.add(dp, dp, vz);\r\n\treturn dp;\r\n};\r\n\r\nvar defaultGetVelocity = function(p) {\r\n    var u = sampleMeshgrid(p, this.vectors, this.meshgrid, this.clampBorders);\r\n    return u;\r\n};\r\n\r\n\r\nvar findLastSmallerIndex = function(points, v) {\r\n  for (var i=0; i<points.length; i++) {\r\n  \tvar p = points[i];\r\n  \tif (p === v) return i;\r\n    if (p > v) return i-1;\r\n  }\r\n  return i;\r\n};\r\n\r\nvar tmp = vec3.create();\r\nvar tmp2 = vec3.create();\r\n\r\nvar clamp = function(v, min, max) {\r\n\treturn v < min ? min : (v > max ? max : v);\r\n};\r\n\r\nvar sampleMeshgrid = function(point, array, meshgrid, clampOverflow) {\r\n\tvar x = point[0];\r\n\tvar y = point[1];\r\n\tvar z = point[2];\r\n\r\n\tvar w = meshgrid[0].length;\r\n\tvar h = meshgrid[1].length;\r\n\tvar d = meshgrid[2].length;\r\n\r\n\t// Find the index of the nearest smaller value in the meshgrid for each coordinate of (x,y,z).\r\n\t// The nearest smaller value index for x is the index x0 such that\r\n\t// meshgrid[0][x0] < x and for all x1 > x0, meshgrid[0][x1] >= x.\r\n\tvar x0 = findLastSmallerIndex(meshgrid[0], x);\r\n\tvar y0 = findLastSmallerIndex(meshgrid[1], y);\r\n\tvar z0 = findLastSmallerIndex(meshgrid[2], z);\r\n\r\n\t// Get the nearest larger meshgrid value indices.\r\n\t// From the above \"nearest smaller value\", we know that\r\n\t//   meshgrid[0][x0] < x\r\n\t//   meshgrid[0][x0+1] >= x\r\n\tvar x1 = x0 + 1;\r\n\tvar y1 = y0 + 1;\r\n\tvar z1 = z0 + 1;\r\n\r\n\tif (meshgrid[0][x0] === x) x1 = x0;\r\n\tif (meshgrid[1][y0] === y) y1 = y0;\r\n\tif (meshgrid[2][z0] === z) z1 = z0;\r\n\r\n\tif (clampOverflow) {\r\n\t\tx0 = clamp(x0, 0, w-1);\r\n\t\tx1 = clamp(x1, 0, w-1);\r\n\t\ty0 = clamp(y0, 0, h-1);\r\n\t\ty1 = clamp(y1, 0, h-1);\r\n\t\tz0 = clamp(z0, 0, d-1);\r\n\t\tz1 = clamp(z1, 0, d-1);\r\n\t}\r\n\r\n\t// Reject points outside the meshgrid, return a zero vector.\r\n\tif (x0 < 0 || y0 < 0 || z0 < 0 || x1 >= w || y1 >= h || z1 >= d) {\r\n\t\treturn vec3.create();\r\n\t}\r\n\r\n\t// Normalize point coordinates to 0..1 scaling factor between x0 and x1.\r\n\tvar xf = (x - meshgrid[0][x0]) / (meshgrid[0][x1] - meshgrid[0][x0]);\r\n\tvar yf = (y - meshgrid[1][y0]) / (meshgrid[1][y1] - meshgrid[1][y0]);\r\n\tvar zf = (z - meshgrid[2][z0]) / (meshgrid[2][z1] - meshgrid[2][z0]);\r\n\r\n\tif (xf < 0 || xf > 1 || isNaN(xf)) xf = 0;\r\n\tif (yf < 0 || yf > 1 || isNaN(yf)) yf = 0;\r\n\tif (zf < 0 || zf > 1 || isNaN(zf)) zf = 0;\r\n\r\n\tvar z0off = z0*w*h;\r\n\tvar z1off = z1*w*h;\r\n\r\n\tvar y0off = y0*w;\r\n\tvar y1off = y1*w;\r\n\r\n\tvar x0off = x0;\r\n\tvar x1off = x1;\r\n\r\n\t// Sample data array around the (x,y,z) point.\r\n\t//  vZYX = array[zZoff + yYoff + xXoff]\r\n\tvar v000 = array[y0off + z0off + x0off];\r\n\tvar v001 = array[y0off + z0off + x1off];\r\n\tvar v010 = array[y1off + z0off + x0off];\r\n\tvar v011 = array[y1off + z0off + x1off];\r\n\tvar v100 = array[y0off + z1off + x0off];\r\n\tvar v101 = array[y0off + z1off + x1off];\r\n\tvar v110 = array[y1off + z1off + x0off];\r\n\tvar v111 = array[y1off + z1off + x1off];\r\n\r\n\tvar result = vec3.create();\r\n\r\n\t// Average samples according to distance to point.\r\n\tvec3.lerp(result, v000, v001, xf);\r\n\tvec3.lerp(tmp, v010, v011, xf);\r\n\tvec3.lerp(result, result, tmp, yf);\r\n\tvec3.lerp(tmp, v100, v101, xf);\r\n\tvec3.lerp(tmp2, v110, v111, xf);\r\n\tvec3.lerp(tmp, tmp, tmp2, yf);\r\n\tvec3.lerp(result, result, tmp, zf);\r\n\r\n\treturn result;\r\n};\r\n\r\n\r\nvar vabs = function(dst, v) {\r\n\tvar x = v[0];\r\n\tvar y = v[1];\r\n\tvar z = v[2];\r\n\tdst[0] = x >= 0 ? x : -x;\r\n\tdst[1] = y >= 0 ? y : -y;\r\n\tdst[2] = z >= 0 ? z : -z;\r\n\treturn dst;\r\n};\r\n\r\nvar findMinSeparation = function(xs) {\r\n\tvar minSeparation = 1/0;\r\n\txs.sort(function(a, b) { return a - b; });\r\n\tfor (var i=1; i<xs.length; i++) {\r\n\t\tvar d = Math.abs(xs[i] - xs[i-1]);\r\n\t\tif (d < minSeparation) {\r\n\t\t\tminSeparation = d;\r\n\t\t}\r\n\t}\r\n\treturn minSeparation;\r\n};\r\n\r\n// Finds the minimum per-component distance in positions.\r\n// \r\nvar calculateMinPositionDistance = function(positions) {\r\n\tvar xs = [], ys = [], zs = [];\r\n\tvar xi = {}, yi = {}, zi = {};\r\n\tfor (var i=0; i<positions.length; i++) {\r\n\t\tvar p = positions[i];\r\n\t\tvar x = p[0], y = p[1], z = p[2];\r\n\r\n\t\t// Split the positions array into arrays of unique component values.\r\n\t\t//\r\n\t\t// Why go through the trouble of using a uniqueness hash table vs\r\n\t\t// sort and uniq: \r\n\t\t//\r\n\t\t// Suppose you've got a million positions in a 100x100x100 grid.\r\n\t\t//\r\n\t\t// Using a uniqueness hash table, you're doing 1M array reads, \r\n\t\t// 3M hash table lookups from 100-element hashes, 300 hash table inserts, then\r\n\t\t// sorting three 100-element arrays and iterating over them.\r\n\t\t// Roughly, 1M + 3M * ln(100) + 300 * ln(100/2) + 3 * 100 * ln(100) + 3 * 100 = \r\n\t\t//          1M + 13.8M + 0.0012M +  0.0014M + 0.0003M \r\n\t\t//          =~ 15M\r\n\t\t//\r\n\t\t// Sort and uniq solution would do 1M array reads, 3M array inserts,\r\n\t\t// sort three 1M-element arrays and iterate over them.\r\n\t\t// Roughly, 1M + 3M + 3 * 1M * ln(1M) + 3 * 1M = \r\n\t\t//          1M + 3M + 41.4M + 3M \r\n\t\t//          =~ 48.4M\r\n\t\t//\r\n\t\t// Guessing that a hard-coded sort & uniq would be faster due to not having\r\n\t\t// to run a hashing function on everything. More memory usage though \r\n\t\t// (bunch of small hash tables vs. duplicating the input array.)\r\n\t\t//\r\n\t\t// In JS-land, who knows. Maybe xi[x] casts x to string and destroys perf, \r\n\t\t// maybe numeric keys get special-cased, maybe the object lookups run at near O(1)-speeds.\r\n\t\t// Maybe the sorting comparison function is expensive to call, maybe it gets inlined or special-cased.\r\n\t\t//\r\n\t\t// ... You're probably not going to call this with more than 10k positions anyhow, so this is very academic.\r\n\t\t//\r\n\t\tif (!xi[x]) {\r\n\t\t\txs.push(x);\r\n\t\t\txi[x] = true;\r\n\t\t}\r\n\t\tif (!yi[y]) {\r\n\t\t\tys.push(y);\r\n\t\t\tyi[y] = true;\r\n\t\t}\r\n\t\tif (!zi[z]) {\r\n\t\t\tzs.push(z);\r\n\t\t\tzi[z] = true;\r\n\t\t}\r\n\t}\r\n\tvar xSep = findMinSeparation(xs);\r\n\tvar ySep = findMinSeparation(ys);\r\n\tvar zSep = findMinSeparation(zs);\r\n\tvar minSeparation = Math.min(xSep, ySep, zSep);\r\n\tif (!isFinite(minSeparation)) {\r\n\t\treturn 1;\r\n\t}\r\n\treturn minSeparation;\r\n};\r\n\r\nmodule.exports = function(vectorField, bounds) {\r\n\tvar positions = vectorField.startingPositions;\r\n\tvar maxLength = vectorField.maxLength || 1000;\r\n\tvar tubeSize = vectorField.tubeSize || 1;\r\n\tvar absoluteTubeSize = vectorField.absoluteTubeSize;\r\n\r\n\tif (!vectorField.getDivergence) {\r\n\t\tvectorField.getDivergence = defaultGetDivergence;\r\n\t}\r\n\r\n\tif (!vectorField.getVelocity) {\r\n\t\tvectorField.getVelocity = defaultGetVelocity;\r\n\t}\r\n\r\n\tif (vectorField.clampBorders === undefined) {\r\n\t\tvectorField.clampBorders = true;\r\n\t}\r\n\r\n\tvar streams = [];\r\n\r\n\tvar minX = bounds[0][0], minY = bounds[0][1], minZ = bounds[0][2];\r\n\tvar maxX = bounds[1][0], maxY = bounds[1][1], maxZ = bounds[1][2];\r\n\r\n\tvar inBounds = function(bounds, p) {\r\n\t\tvar x = p[0];\r\n\t\tvar y = p[1];\r\n\t\tvar z = p[2];\r\n\t\treturn (\r\n\t\t\tx >= minX && x <= maxX &&\r\n\t\t\ty >= minY && y <= maxY &&\r\n\t\t\tz >= minZ && z <= maxZ\r\n\t\t);\r\n\t};\r\n\r\n\tvar boundsSize = vec3.distance(bounds[0], bounds[1]);\r\n\tvar maxStepSize = 10 * boundsSize / maxLength;\r\n\tvar maxStepSizeSq = maxStepSize * maxStepSize;\r\n\r\n\tvar minDistance = 1;\r\n\tvar maxDivergence = 0; // For component-wise divergence vec3.create();\r\n\tvar tmp = vec3.create();\r\n\r\n\tif (positions.length >= 2) {\r\n\t\tminDistance = calculateMinPositionDistance(positions);\r\n\t}\r\n\r\n\tfor (var i = 0; i < positions.length; i++) {\r\n\t\tvar p = vec3.create();\r\n\t\tvec3.copy(p, positions[i]);\r\n\r\n\t\tvar stream = [p];\r\n\t\tvar velocities = [];\r\n\t\tvar v = vectorField.getVelocity(p);\r\n\t\tvar op = p;\r\n\t\tvelocities.push(v);\r\n\r\n\t\tvar divergences = [];\r\n\r\n\t\tvar dv = vectorField.getDivergence(p, v);\r\n\t\tvar dvLength = vec3.length(dv);\r\n\t\tif (dvLength > maxDivergence && !isNaN(dvLength) && isFinite(dvLength)) {\r\n\t\t\tmaxDivergence = dvLength;\r\n\t\t}\r\n\t\t// In case we need to do component-wise divergence visualization\r\n\t\t// vec3.max(maxDivergence, maxDivergence, vabs(tmp, dv));\r\n\t\tdivergences.push(dvLength);\r\n\r\n\t\tstreams.push({points: stream, velocities: velocities, divergences: divergences});\r\n\r\n\t\tvar j = 0;\r\n\r\n\t\twhile (j < maxLength * 100 && stream.length < maxLength && inBounds(bounds, p)) {\r\n\t\t\tj++;\r\n\t\t\tvar np = vec3.clone(v);\r\n\t\t\tvar sqLen = vec3.squaredLength(np);\r\n\t\t\tif (sqLen === 0) {\r\n\t\t\t\tbreak;\r\n\t\t\t} else if (sqLen > maxStepSizeSq) {\r\n\t\t\t\tvec3.scale(np, np, maxStepSize / Math.sqrt(sqLen));\r\n\t\t\t}\r\n\t\t\tvec3.add(np, np, p);\r\n\r\n\t\t\tv = vectorField.getVelocity(np);\r\n\r\n\t\t\tif (vec3.squaredDistance(op, np) - maxStepSizeSq > -0.0001 * maxStepSizeSq) {\r\n\t\t\t\tstream.push(np);\r\n\t\t\t\top = np;\r\n\t\t\t\tvelocities.push(v);\r\n\t\t\t\tvar dv = vectorField.getDivergence(np, v);\r\n\t\t\t\tvar dvLength = vec3.length(dv);\r\n\t\t\t\tif (dvLength > maxDivergence && !isNaN(dvLength) && isFinite(dvLength)) {\r\n\t\t\t\t\tmaxDivergence = dvLength;\r\n\t\t\t\t}\r\n\t\t\t\t// In case we need to do component-wise divergence visualization\r\n\t\t\t\t//vec3.max(maxDivergence, maxDivergence, vabs(tmp, dv));\r\n\t\t\t\tdivergences.push(dvLength);\r\n\t\t\t}\r\n\r\n\t\t\tp = np;\r\n\t\t}\r\n\t}\r\n\r\n\t// Replace NaNs and Infinities with non-NaN, finite maxDivergence\r\n\tfor (var i=0; i<divergences.length; i++) {\r\n\t\tvar dvLength = divergences[i];\r\n\t\tif (isNaN(dvLength) || !isFinite(dvLength)) {\r\n\t\t\tdivergences[i] = maxDivergence;\r\n\t\t}\r\n\t}\r\n\r\n\tvar tubes = createTubes(streams, vectorField.colormap, maxDivergence, minDistance);\r\n\r\n\tif (absoluteTubeSize) {\r\n\t\ttubes.tubeScale = absoluteTubeSize;\r\n\t} else {\r\n\t\t// Avoid division by zero.\r\n\t\tif (maxDivergence === 0) {\r\n\t\t\tmaxDivergence = 1;\r\n\t\t}\r\n\t\ttubes.tubeScale = tubeSize * 0.5 * minDistance / maxDivergence;\r\n\t}\r\n\r\n\treturn tubes;\r\n};\r\n\r\nmodule.exports.createTubeMesh = _dereq_('./lib/tubemesh');\r\n\n},{\"./lib/tubemesh\":300,\"gl-vec3\":329,\"gl-vec4\":365}],302:[function(_dereq_,module,exports){\nvar createShader = _dereq_('gl-shader')\r\nvar glslify = _dereq_('glslify')\r\n\r\nvar vertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  worldCoordinate = vec3(uv.zw, f.x);\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"])\r\nvar fragSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"])\r\nvar contourVertSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"])\r\nvar pickSrc = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"])\r\n\r\nexports.createShader = function (gl) {\r\n  var shader = createShader(gl, vertSrc, fragSrc, null, [\r\n    {name: 'uv', type: 'vec4'},\r\n    {name: 'f', type: 'vec3'},\r\n    {name: 'normal', type: 'vec3'}\r\n  ])\r\n  shader.attributes.uv.location = 0\r\n  shader.attributes.f.location = 1\r\n  shader.attributes.normal.location = 2\r\n  return shader\r\n}\r\nexports.createPickShader = function (gl) {\r\n  var shader = createShader(gl, vertSrc, pickSrc, null, [\r\n    {name: 'uv', type: 'vec4'},\r\n    {name: 'f', type: 'vec3'},\r\n    {name: 'normal', type: 'vec3'}\r\n  ])\r\n  shader.attributes.uv.location = 0\r\n  shader.attributes.f.location = 1\r\n  shader.attributes.normal.location = 2\r\n  return shader\r\n}\r\nexports.createContourShader = function (gl) {\r\n  var shader = createShader(gl, contourVertSrc, fragSrc, null, [\r\n    {name: 'uv', type: 'vec4'},\r\n    {name: 'f', type: 'float'}\r\n  ])\r\n  shader.attributes.uv.location = 0\r\n  shader.attributes.f.location = 1\r\n  return shader\r\n}\r\nexports.createPickContourShader = function (gl) {\r\n  var shader = createShader(gl, contourVertSrc, pickSrc, null, [\r\n    {name: 'uv', type: 'vec4'},\r\n    {name: 'f', type: 'float'}\r\n  ])\r\n  shader.attributes.uv.location = 0\r\n  shader.attributes.f.location = 1\r\n  return shader\r\n}\r\n\n},{\"gl-shader\":288,\"glslify\":392}],303:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = createSurfacePlot\r\n\r\nvar bits = _dereq_('bit-twiddle')\r\nvar createBuffer = _dereq_('gl-buffer')\r\nvar createVAO = _dereq_('gl-vao')\r\nvar createTexture = _dereq_('gl-texture2d')\r\nvar pool = _dereq_('typedarray-pool')\r\nvar colormap = _dereq_('colormap')\r\nvar ops = _dereq_('ndarray-ops')\r\nvar pack = _dereq_('ndarray-pack')\r\nvar ndarray = _dereq_('ndarray')\r\nvar surfaceNets = _dereq_('surface-nets')\r\nvar multiply = _dereq_('gl-mat4/multiply')\r\nvar invert = _dereq_('gl-mat4/invert')\r\nvar bsearch = _dereq_('binary-search-bounds')\r\nvar gradient = _dereq_('ndarray-gradient')\r\nvar shaders = _dereq_('./lib/shaders')\r\n\r\nvar createShader = shaders.createShader\r\nvar createContourShader = shaders.createContourShader\r\nvar createPickShader = shaders.createPickShader\r\nvar createPickContourShader = shaders.createPickContourShader\r\n\r\nvar SURFACE_VERTEX_SIZE = 4 * (4 + 3 + 3)\r\n\r\nvar IDENTITY = [\r\n  1, 0, 0, 0,\r\n  0, 1, 0, 0,\r\n  0, 0, 1, 0,\r\n  0, 0, 0, 1 ]\r\n\r\nvar QUAD = [\r\n  [0, 0],\r\n  [0, 1],\r\n  [1, 0],\r\n  [1, 1],\r\n  [1, 0],\r\n  [0, 1]\r\n]\r\n\r\nvar PERMUTATIONS = [\r\n  [0, 0, 0, 0, 0, 0, 0, 0, 0],\r\n  [0, 0, 0, 0, 0, 0, 0, 0, 0],\r\n  [0, 0, 0, 0, 0, 0, 0, 0, 0]\r\n]\r\n\r\n;(function () {\r\n  for (var i = 0; i < 3; ++i) {\r\n    var p = PERMUTATIONS[i]\r\n    var u = (i + 1) % 3\r\n    var v = (i + 2) % 3\r\n    p[u + 0] = 1\r\n    p[v + 3] = 1\r\n    p[i + 6] = 1\r\n  }\r\n})()\r\n\r\nfunction SurfacePickResult (position, index, uv, level, dataCoordinate) {\r\n  this.position = position\r\n  this.index = index\r\n  this.uv = uv\r\n  this.level = level\r\n  this.dataCoordinate = dataCoordinate\r\n}\r\n\r\nvar N_COLORS = 256\r\n\r\nfunction genColormap (name) {\r\n  var x = pack([colormap({\r\n    colormap: name,\r\n    nshades: N_COLORS,\r\n    format: 'rgba'\r\n  }).map(function (c) {\r\n    return [c[0], c[1], c[2], 255 * c[3]]\r\n  })])\r\n  ops.divseq(x, 255.0)\r\n  return x\r\n}\r\n\r\nfunction SurfacePlot (\r\n  gl,\r\n  shape,\r\n  bounds,\r\n  shader,\r\n  pickShader,\r\n  coordinates,\r\n  vao,\r\n  colorMap,\r\n  contourShader,\r\n  contourPickShader,\r\n  contourBuffer,\r\n  contourVAO,\r\n  dynamicBuffer,\r\n  dynamicVAO) {\r\n  this.gl = gl\r\n  this.shape = shape\r\n  this.bounds = bounds\r\n  this.intensityBounds = [];\r\n\r\n  this._shader = shader\r\n  this._pickShader = pickShader\r\n  this._coordinateBuffer = coordinates\r\n  this._vao = vao\r\n  this._colorMap = colorMap\r\n\r\n  this._contourShader = contourShader\r\n  this._contourPickShader = contourPickShader\r\n  this._contourBuffer = contourBuffer\r\n  this._contourVAO = contourVAO\r\n  this._contourOffsets = [[], [], []]\r\n  this._contourCounts = [[], [], []]\r\n  this._vertexCount = 0\r\n\r\n  this._pickResult = new SurfacePickResult([0, 0, 0], [0, 0], [0, 0], [0, 0, 0], [0, 0, 0])\r\n\r\n  this._dynamicBuffer = dynamicBuffer\r\n  this._dynamicVAO = dynamicVAO\r\n  this._dynamicOffsets = [0, 0, 0]\r\n  this._dynamicCounts = [0, 0, 0]\r\n\r\n  this.contourWidth = [ 1, 1, 1 ]\r\n  this.contourLevels = [[1], [1], [1]]\r\n  this.contourTint = [0, 0, 0]\r\n  this.contourColor = [[0.5, 0.5, 0.5, 1], [0.5, 0.5, 0.5, 1], [0.5, 0.5, 0.5, 1]]\r\n\r\n  this.showContour = true\r\n  this.showSurface = true\r\n\r\n  this.enableHighlight = [true, true, true]\r\n  this.highlightColor = [[0, 0, 0, 1], [0, 0, 0, 1], [0, 0, 0, 1]]\r\n  this.highlightTint = [ 1, 1, 1 ]\r\n  this.highlightLevel = [-1, -1, -1]\r\n\r\n  // Dynamic contour options\r\n  this.enableDynamic = [ true, true, true ]\r\n  this.dynamicLevel = [ NaN, NaN, NaN ]\r\n  this.dynamicColor = [ [0, 0, 0, 1], [0, 0, 0, 1], [0, 0, 0, 1] ]\r\n  this.dynamicTint = [ 1, 1, 1 ]\r\n  this.dynamicWidth = [ 1, 1, 1 ]\r\n\r\n  this.axesBounds = [[Infinity, Infinity, Infinity], [-Infinity, -Infinity, -Infinity]]\r\n  this.surfaceProject = [ false, false, false ]\r\n  this.contourProject = [[ false, false, false ],\r\n    [ false, false, false ],\r\n    [ false, false, false ]]\r\n\r\n  this.colorBounds = [ false, false ]\r\n\r\n  // Store xyz fields, need this for picking\r\n  this._field = [\r\n    ndarray(pool.mallocFloat(1024), [0, 0]),\r\n    ndarray(pool.mallocFloat(1024), [0, 0]),\r\n    ndarray(pool.mallocFloat(1024), [0, 0]) ]\r\n\r\n  this.pickId = 1\r\n  this.clipBounds = [[-Infinity, -Infinity, -Infinity], [Infinity, Infinity, Infinity]]\r\n\r\n  this.snapToData = false\r\n\r\n  this.opacity = 1.0\r\n\r\n  this.lightPosition = [10, 10000, 0]\r\n  this.ambientLight = 0.8\r\n  this.diffuseLight = 0.8\r\n  this.specularLight = 2.0\r\n  this.roughness = 0.5\r\n  this.fresnel = 1.5\r\n  this.vertexColor = 0;\r\n\r\n  this.dirty = true\r\n}\r\n\r\nvar proto = SurfacePlot.prototype\r\n\r\nproto.isTransparent = function () {\r\n  return this.opacity < 1\r\n}\r\n\r\nproto.isOpaque = function () {\r\n  if (this.opacity >= 1) {\r\n    return true\r\n  }\r\n  for (var i = 0; i < 3; ++i) {\r\n    if (this._contourCounts[i].length > 0 || this._dynamicCounts[i] > 0) {\r\n      return true\r\n    }\r\n  }\r\n  return false\r\n}\r\n\r\nproto.pickSlots = 1\r\n\r\nproto.setPickBase = function (id) {\r\n  this.pickId = id\r\n}\r\n\r\nvar ZERO_VEC = [0, 0, 0]\r\n\r\nvar PROJECT_DATA = {\r\n  showSurface: false,\r\n  showContour: false,\r\n  projections: [IDENTITY.slice(), IDENTITY.slice(), IDENTITY.slice()],\r\n  clipBounds: [\r\n    [[0, 0, 0], [0, 0, 0]],\r\n    [[0, 0, 0], [0, 0, 0]],\r\n    [[0, 0, 0], [0, 0, 0]]]\r\n}\r\n\r\nfunction computeProjectionData (camera, obj) {\r\n  var i, j, k\r\n\r\n  // Compute cube properties\r\n  var cubeAxis = (obj.axes && obj.axes.lastCubeProps.axis) || ZERO_VEC\r\n\r\n  var showSurface = obj.showSurface\r\n  var showContour = obj.showContour\r\n\r\n  for (i = 0; i < 3; ++i) {\r\n    showSurface = showSurface || obj.surfaceProject[i]\r\n    for (j = 0; j < 3; ++j) {\r\n      showContour = showContour || obj.contourProject[i][j]\r\n    }\r\n  }\r\n\r\n  for (i = 0; i < 3; ++i) {\r\n    // Construct projection onto axis\r\n    var axisSquish = PROJECT_DATA.projections[i]\r\n    for (j = 0; j < 16; ++j) {\r\n      axisSquish[j] = 0\r\n    }\r\n    for (j = 0; j < 4; ++j) {\r\n      axisSquish[5 * j] = 1\r\n    }\r\n    axisSquish[5 * i] = 0\r\n    axisSquish[12 + i] = obj.axesBounds[+(cubeAxis[i] > 0)][i]\r\n    multiply(axisSquish, camera.model, axisSquish)\r\n\r\n    var nclipBounds = PROJECT_DATA.clipBounds[i]\r\n    for (k = 0; k < 2; ++k) {\r\n      for (j = 0; j < 3; ++j) {\r\n        nclipBounds[k][j] = camera.clipBounds[k][j]\r\n      }\r\n    }\r\n    nclipBounds[0][i] = -1e8\r\n    nclipBounds[1][i] = 1e8\r\n  }\r\n\r\n  PROJECT_DATA.showSurface = showSurface\r\n  PROJECT_DATA.showContour = showContour\r\n\r\n  return PROJECT_DATA\r\n}\r\n\r\nvar UNIFORMS = {\r\n  model: IDENTITY,\r\n  view: IDENTITY,\r\n  projection: IDENTITY,\r\n  inverseModel: IDENTITY.slice(),\r\n  lowerBound: [0, 0, 0],\r\n  upperBound: [0, 0, 0],\r\n  colorMap: 0,\r\n  clipBounds: [[0, 0, 0], [0, 0, 0]],\r\n  height: 0.0,\r\n  contourTint: 0,\r\n  contourColor: [0, 0, 0, 1],\r\n  permutation: [1, 0, 0, 0, 1, 0, 0, 0, 1],\r\n  zOffset: -1e-4,\r\n  kambient: 1,\r\n  kdiffuse: 1,\r\n  kspecular: 1,\r\n  lightPosition: [1000, 1000, 1000],\r\n  eyePosition: [0, 0, 0],\r\n  roughness: 1,\r\n  fresnel: 1,\r\n  opacity: 1,\r\n  vertexColor: 0\r\n}\r\n\r\nvar MATRIX_INVERSE = IDENTITY.slice()\r\nvar DEFAULT_PERM = [1, 0, 0, 0, 1, 0, 0, 0, 1]\r\n\r\nfunction drawCore (params, transparent) {\r\n  params = params || {}\r\n  var gl = this.gl\r\n\r\n  gl.disable(gl.CULL_FACE)\r\n\r\n  this._colorMap.bind(0)\r\n\r\n  var uniforms = UNIFORMS\r\n  uniforms.model = params.model || IDENTITY\r\n  uniforms.view = params.view || IDENTITY\r\n  uniforms.projection = params.projection || IDENTITY\r\n  uniforms.lowerBound = [this.bounds[0][0], this.bounds[0][1], this.colorBounds[0] || this.bounds[0][2]]\r\n  uniforms.upperBound = [this.bounds[1][0], this.bounds[1][1], this.colorBounds[1] || this.bounds[1][2]]\r\n  uniforms.contourColor = this.contourColor[0]\r\n\r\n  uniforms.inverseModel = invert(uniforms.inverseModel, uniforms.model)\r\n\r\n  for (var i = 0; i < 2; ++i) {\r\n    var clipClamped = uniforms.clipBounds[i]\r\n    for (var j = 0; j < 3; ++j) {\r\n      clipClamped[j] = Math.min(Math.max(this.clipBounds[i][j], -1e8), 1e8)\r\n    }\r\n  }\r\n\r\n  uniforms.kambient = this.ambientLight\r\n  uniforms.kdiffuse = this.diffuseLight\r\n  uniforms.kspecular = this.specularLight\r\n\r\n  uniforms.roughness = this.roughness\r\n  uniforms.fresnel = this.fresnel\r\n  uniforms.opacity = this.opacity\r\n\r\n  uniforms.height = 0.0\r\n  uniforms.permutation = DEFAULT_PERM\r\n\r\n  uniforms.vertexColor = this.vertexColor\r\n\r\n  // Compute camera matrix inverse\r\n  var invCameraMatrix = MATRIX_INVERSE\r\n  multiply(invCameraMatrix, uniforms.view, uniforms.model)\r\n  multiply(invCameraMatrix, uniforms.projection, invCameraMatrix)\r\n  invert(invCameraMatrix, invCameraMatrix)\r\n\r\n  for (i = 0; i < 3; ++i) {\r\n    uniforms.eyePosition[i] = invCameraMatrix[12 + i] / invCameraMatrix[15]\r\n  }\r\n\r\n  var w = invCameraMatrix[15]\r\n  for (i = 0; i < 3; ++i) {\r\n    w += this.lightPosition[i] * invCameraMatrix[4 * i + 3]\r\n  }\r\n  for (i = 0; i < 3; ++i) {\r\n    var s = invCameraMatrix[12 + i]\r\n    for (j = 0; j < 3; ++j) {\r\n      s += invCameraMatrix[4 * j + i] * this.lightPosition[j]\r\n    }\r\n    uniforms.lightPosition[i] = s / w\r\n  }\r\n\r\n  var projectData = computeProjectionData(uniforms, this)\r\n\r\n  if (projectData.showSurface && (transparent === (this.opacity < 1))) {\r\n    // Set up uniforms\r\n    this._shader.bind()\r\n    this._shader.uniforms = uniforms\r\n\r\n    // Draw it\r\n    this._vao.bind()\r\n\r\n    if (this.showSurface && this._vertexCount) {\r\n      this._vao.draw(gl.TRIANGLES, this._vertexCount)\r\n    }\r\n\r\n    // Draw projections of surface\r\n    for (i = 0; i < 3; ++i) {\r\n      if (!this.surfaceProject[i] || !this.vertexCount) {\r\n        continue\r\n      }\r\n      this._shader.uniforms.model = projectData.projections[i]\r\n      this._shader.uniforms.clipBounds = projectData.clipBounds[i]\r\n      this._vao.draw(gl.TRIANGLES, this._vertexCount)\r\n    }\r\n\r\n    this._vao.unbind()\r\n  }\r\n\r\n  if (projectData.showContour && !transparent) {\r\n    var shader = this._contourShader\r\n\r\n    // Don't apply lighting to contours\r\n    uniforms.kambient = 1.0\r\n    uniforms.kdiffuse = 0.0\r\n    uniforms.kspecular = 0.0\r\n    uniforms.opacity = 1.0\r\n\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    // Draw contour lines\r\n    var vao = this._contourVAO\r\n    vao.bind()\r\n\r\n    // Draw contour levels\r\n    for (i = 0; i < 3; ++i) {\r\n      shader.uniforms.permutation = PERMUTATIONS[i]\r\n      gl.lineWidth(this.contourWidth[i])\r\n\r\n      for (j = 0; j < this.contourLevels[i].length; ++j) {\r\n        if (j === this.highlightLevel[i]) {\r\n          shader.uniforms.contourColor = this.highlightColor[i]\r\n          shader.uniforms.contourTint = this.highlightTint[i]\r\n        } else if (j === 0 || (j - 1) === this.highlightLevel[i]) {\r\n          shader.uniforms.contourColor = this.contourColor[i]\r\n          shader.uniforms.contourTint = this.contourTint[i]\r\n        }\r\n        if (!this._contourCounts[i][j]) {\r\n          continue\r\n        }\r\n        shader.uniforms.height = this.contourLevels[i][j]\r\n        vao.draw(gl.LINES, this._contourCounts[i][j], this._contourOffsets[i][j])\r\n      }\r\n    }\r\n\r\n    // Draw projections of surface\r\n    for (i = 0; i < 3; ++i) {\r\n      shader.uniforms.model = projectData.projections[i]\r\n      shader.uniforms.clipBounds = projectData.clipBounds[i]\r\n      for (j = 0; j < 3; ++j) {\r\n        if (!this.contourProject[i][j]) {\r\n          continue\r\n        }\r\n        shader.uniforms.permutation = PERMUTATIONS[j]\r\n        gl.lineWidth(this.contourWidth[j])\r\n        for (var k = 0; k < this.contourLevels[j].length; ++k) {\r\n          if (k === this.highlightLevel[j]) {\r\n            shader.uniforms.contourColor = this.highlightColor[j]\r\n            shader.uniforms.contourTint = this.highlightTint[j]\r\n          } else if (k === 0 || (k - 1) === this.highlightLevel[j]) {\r\n            shader.uniforms.contourColor = this.contourColor[j]\r\n            shader.uniforms.contourTint = this.contourTint[j]\r\n          }\r\n          shader.uniforms.height = this.contourLevels[j][k]\r\n          vao.draw(gl.LINES, this._contourCounts[j][k], this._contourOffsets[j][k])\r\n        }\r\n      }\r\n    }\r\n    vao.unbind()\r\n\r\n    // Draw dynamic contours\r\n    vao = this._dynamicVAO\r\n    vao.bind()\r\n\r\n    // Draw contour levels\r\n    for (i = 0; i < 3; ++i) {\r\n      if (this._dynamicCounts[i] === 0) {\r\n        continue\r\n      }\r\n\r\n      shader.uniforms.model = uniforms.model\r\n      shader.uniforms.clipBounds = uniforms.clipBounds\r\n      shader.uniforms.permutation = PERMUTATIONS[i]\r\n      gl.lineWidth(this.dynamicWidth[i])\r\n\r\n      shader.uniforms.contourColor = this.dynamicColor[i]\r\n      shader.uniforms.contourTint = this.dynamicTint[i]\r\n      shader.uniforms.height = this.dynamicLevel[i]\r\n      vao.draw(gl.LINES, this._dynamicCounts[i], this._dynamicOffsets[i])\r\n\r\n      for (j = 0; j < 3; ++j) {\r\n        if (!this.contourProject[j][i]) {\r\n          continue\r\n        }\r\n\r\n        shader.uniforms.model = projectData.projections[j]\r\n        shader.uniforms.clipBounds = projectData.clipBounds[j]\r\n        vao.draw(gl.LINES, this._dynamicCounts[i], this._dynamicOffsets[i])\r\n      }\r\n    }\r\n\r\n    vao.unbind()\r\n  }\r\n}\r\n\r\nproto.draw = function (params) {\r\n  return drawCore.call(this, params, false)\r\n}\r\n\r\nproto.drawTransparent = function (params) {\r\n  return drawCore.call(this, params, true)\r\n}\r\n\r\nvar PICK_UNIFORMS = {\r\n  model: IDENTITY,\r\n  view: IDENTITY,\r\n  projection: IDENTITY,\r\n  inverseModel: IDENTITY,\r\n  clipBounds: [[0, 0, 0], [0, 0, 0]],\r\n  height: 0.0,\r\n  shape: [0, 0],\r\n  pickId: 0,\r\n  lowerBound: [0, 0, 0],\r\n  upperBound: [0, 0, 0],\r\n  zOffset: 0.0,\r\n  permutation: [1, 0, 0, 0, 1, 0, 0, 0, 1],\r\n  lightPosition: [0, 0, 0],\r\n  eyePosition: [0, 0, 0]\r\n}\r\n\r\nproto.drawPick = function (params) {\r\n  params = params || {}\r\n  var gl = this.gl\r\n  gl.disable(gl.CULL_FACE)\r\n\r\n  var uniforms = PICK_UNIFORMS\r\n  uniforms.model = params.model || IDENTITY\r\n  uniforms.view = params.view || IDENTITY\r\n  uniforms.projection = params.projection || IDENTITY\r\n  uniforms.shape = this._field[2].shape\r\n  uniforms.pickId = this.pickId / 255.0\r\n  uniforms.lowerBound = this.bounds[0]\r\n  uniforms.upperBound = this.bounds[1]\r\n  uniforms.permutation = DEFAULT_PERM\r\n\r\n  for (var i = 0; i < 2; ++i) {\r\n    var clipClamped = uniforms.clipBounds[i]\r\n    for (var j = 0; j < 3; ++j) {\r\n      clipClamped[j] = Math.min(Math.max(this.clipBounds[i][j], -1e8), 1e8)\r\n    }\r\n  }\r\n\r\n  var projectData = computeProjectionData(uniforms, this)\r\n\r\n  if (projectData.showSurface) {\r\n    // Set up uniforms\r\n    this._pickShader.bind()\r\n    this._pickShader.uniforms = uniforms\r\n\r\n    // Draw it\r\n    this._vao.bind()\r\n    this._vao.draw(gl.TRIANGLES, this._vertexCount)\r\n\r\n    // Draw projections of surface\r\n    for (i = 0; i < 3; ++i) {\r\n      if (!this.surfaceProject[i]) {\r\n        continue\r\n      }\r\n      this._pickShader.uniforms.model = projectData.projections[i]\r\n      this._pickShader.uniforms.clipBounds = projectData.clipBounds[i]\r\n      this._vao.draw(gl.TRIANGLES, this._vertexCount)\r\n    }\r\n\r\n    this._vao.unbind()\r\n  }\r\n\r\n  if (projectData.showContour) {\r\n    var shader = this._contourPickShader\r\n\r\n    shader.bind()\r\n    shader.uniforms = uniforms\r\n\r\n    var vao = this._contourVAO\r\n    vao.bind()\r\n\r\n    for (j = 0; j < 3; ++j) {\r\n      gl.lineWidth(this.contourWidth[j])\r\n      shader.uniforms.permutation = PERMUTATIONS[j]\r\n      for (i = 0; i < this.contourLevels[j].length; ++i) {\r\n        if (this._contourCounts[j][i]) {\r\n          shader.uniforms.height = this.contourLevels[j][i]\r\n          vao.draw(gl.LINES, this._contourCounts[j][i], this._contourOffsets[j][i])\r\n        }\r\n      }\r\n    }\r\n\r\n    // Draw projections of surface\r\n    for (i = 0; i < 3; ++i) {\r\n      shader.uniforms.model = projectData.projections[i]\r\n      shader.uniforms.clipBounds = projectData.clipBounds[i]\r\n\r\n      for (j = 0; j < 3; ++j) {\r\n        if (!this.contourProject[i][j]) {\r\n          continue\r\n        }\r\n\r\n        shader.uniforms.permutation = PERMUTATIONS[j]\r\n        gl.lineWidth(this.contourWidth[j])\r\n        for (var k = 0; k < this.contourLevels[j].length; ++k) {\r\n          if (this._contourCounts[j][k]) {\r\n            shader.uniforms.height = this.contourLevels[j][k]\r\n            vao.draw(gl.LINES, this._contourCounts[j][k], this._contourOffsets[j][k])\r\n          }\r\n        }\r\n      }\r\n    }\r\n\r\n    vao.unbind()\r\n  }\r\n}\r\n\r\nproto.pick = function (selection) {\r\n  if (!selection) {\r\n    return null\r\n  }\r\n\r\n  if (selection.id !== this.pickId) {\r\n    return null\r\n  }\r\n\r\n  var shape = this._field[2].shape\r\n\r\n  var result = this._pickResult\r\n\r\n  // Compute uv coordinate\r\n  var x = shape[0] * (selection.value[0] + (selection.value[2] >> 4) / 16.0) / 255.0\r\n  var ix = Math.floor(x)\r\n  var fx = x - ix\r\n\r\n  var y = shape[1] * (selection.value[1] + (selection.value[2] & 15) / 16.0) / 255.0\r\n  var iy = Math.floor(y)\r\n  var fy = y - iy\r\n\r\n  ix += 1\r\n  iy += 1\r\n\r\n  // Compute xyz coordinate\r\n  var pos = result.position\r\n  pos[0] = pos[1] = pos[2] = 0\r\n  for (var dx = 0; dx < 2; ++dx) {\r\n    var s = dx ? fx : 1.0 - fx\r\n    for (var dy = 0; dy < 2; ++dy) {\r\n      var t = dy ? fy : 1.0 - fy\r\n\r\n      var r = ix + dx\r\n      var c = iy + dy\r\n      var w = s * t\r\n\r\n      for (var i = 0; i < 3; ++i) {\r\n        pos[i] += this._field[i].get(r, c) * w\r\n      }\r\n    }\r\n  }\r\n\r\n  // Find closest level\r\n  var levelIndex = this._pickResult.level\r\n  for (var j = 0; j < 3; ++j) {\r\n    levelIndex[j] = bsearch.le(this.contourLevels[j], pos[j])\r\n    if (levelIndex[j] < 0) {\r\n      if (this.contourLevels[j].length > 0) {\r\n        levelIndex[j] = 0\r\n      }\r\n    } else if (levelIndex[j] < this.contourLevels[j].length - 1) {\r\n      var a = this.contourLevels[j][levelIndex[j]]\r\n      var b = this.contourLevels[j][levelIndex[j] + 1]\r\n      if (Math.abs(a - pos[j]) > Math.abs(b - pos[j])) {\r\n        levelIndex[j] += 1\r\n      }\r\n    }\r\n  }\r\n\r\n  result.index[0] = fx < 0.5 ? ix : (ix + 1)\r\n  result.index[1] = fy < 0.5 ? iy : (iy + 1)\r\n\r\n  result.uv[0] = x / shape[0]\r\n  result.uv[1] = y / shape[1]\r\n\r\n  for (i = 0; i < 3; ++i) {\r\n    result.dataCoordinate[i] = this._field[i].get(result.index[0], result.index[1])\r\n  }\r\n\r\n  return result\r\n}\r\n\r\nfunction padField (nfield, field) {\r\n  var shape = field.shape.slice()\r\n  var nshape = nfield.shape.slice()\r\n\r\n  // Center\r\n  ops.assign(nfield.lo(1, 1).hi(shape[0], shape[1]), field)\r\n\r\n  // Edges\r\n  ops.assign(nfield.lo(1).hi(shape[0], 1),\r\n    field.hi(shape[0], 1))\r\n  ops.assign(nfield.lo(1, nshape[1] - 1).hi(shape[0], 1),\r\n    field.lo(0, shape[1] - 1).hi(shape[0], 1))\r\n  ops.assign(nfield.lo(0, 1).hi(1, shape[1]),\r\n    field.hi(1))\r\n  ops.assign(nfield.lo(nshape[0] - 1, 1).hi(1, shape[1]),\r\n    field.lo(shape[0] - 1))\r\n  // Corners\r\n  nfield.set(0, 0, field.get(0, 0))\r\n  nfield.set(0, nshape[1] - 1, field.get(0, shape[1] - 1))\r\n  nfield.set(nshape[0] - 1, 0, field.get(shape[0] - 1, 0))\r\n  nfield.set(nshape[0] - 1, nshape[1] - 1, field.get(shape[0] - 1, shape[1] - 1))\r\n}\r\n\r\nfunction handleArray (param, ctor) {\r\n  if (Array.isArray(param)) {\r\n    return [ ctor(param[0]), ctor(param[1]), ctor(param[2]) ]\r\n  }\r\n  return [ ctor(param), ctor(param), ctor(param) ]\r\n}\r\n\r\nfunction toColor (x) {\r\n  if (Array.isArray(x)) {\r\n    if (x.length === 3) {\r\n      return [x[0], x[1], x[2], 1]\r\n    }\r\n    return [x[0], x[1], x[2], x[3]]\r\n  }\r\n  return [0, 0, 0, 1]\r\n}\r\n\r\nfunction handleColor (param) {\r\n  if (Array.isArray(param)) {\r\n    if (Array.isArray(param)) {\r\n      return [\r\n        toColor(param[0]),\r\n        toColor(param[1]),\r\n        toColor(param[2]) ]\r\n    } else {\r\n      var c = toColor(param)\r\n      return [\r\n        c.slice(),\r\n        c.slice(),\r\n        c.slice() ]\r\n    }\r\n  }\r\n}\r\n\r\nproto.update = function (params) {\r\n  params = params || {}\r\n\r\n  this.dirty = true\r\n\r\n  if ('contourWidth' in params) {\r\n    this.contourWidth = handleArray(params.contourWidth, Number)\r\n  }\r\n  if ('showContour' in params) {\r\n    this.showContour = handleArray(params.showContour, Boolean)\r\n  }\r\n  if ('showSurface' in params) {\r\n    this.showSurface = !!params.showSurface\r\n  }\r\n  if ('contourTint' in params) {\r\n    this.contourTint = handleArray(params.contourTint, Boolean)\r\n  }\r\n  if ('contourColor' in params) {\r\n    this.contourColor = handleColor(params.contourColor)\r\n  }\r\n  if ('contourProject' in params) {\r\n    this.contourProject = handleArray(params.contourProject, function (x) {\r\n      return handleArray(x, Boolean)\r\n    })\r\n  }\r\n  if ('surfaceProject' in params) {\r\n    this.surfaceProject = params.surfaceProject\r\n  }\r\n  if ('dynamicColor' in params) {\r\n    this.dynamicColor = handleColor(params.dynamicColor)\r\n  }\r\n  if ('dynamicTint' in params) {\r\n    this.dynamicTint = handleArray(params.dynamicTint, Number)\r\n  }\r\n  if ('dynamicWidth' in params) {\r\n    this.dynamicWidth = handleArray(params.dynamicWidth, Number)\r\n  }\r\n  if ('opacity' in params) {\r\n    this.opacity = params.opacity\r\n  }\r\n  if ('colorBounds' in params) {\r\n    this.colorBounds = params.colorBounds\r\n  }\r\n  if ('vertexColor' in params) {\r\n    this.vertexColor = params.vertexColor ? 1 : 0;\r\n  }\r\n\r\n  var field = params.field || (params.coords && params.coords[2]) || null\r\n  var levelsChanged = false\r\n\r\n  if (!field) {\r\n    if (this._field[2].shape[0] || this._field[2].shape[2]) {\r\n      field = this._field[2].lo(1, 1).hi(this._field[2].shape[0] - 2, this._field[2].shape[1] - 2)\r\n    } else {\r\n      field = this._field[2].hi(0, 0)\r\n    }\r\n  }\r\n\r\n  // Update field\r\n  if ('field' in params || 'coords' in params) {\r\n    var fsize = (field.shape[0] + 2) * (field.shape[1] + 2)\r\n\r\n    // Resize if necessary\r\n    if (fsize > this._field[2].data.length) {\r\n      pool.freeFloat(this._field[2].data)\r\n      this._field[2].data = pool.mallocFloat(bits.nextPow2(fsize))\r\n    }\r\n\r\n    // Pad field\r\n    this._field[2] = ndarray(this._field[2].data, [field.shape[0] + 2, field.shape[1] + 2])\r\n    padField(this._field[2], field)\r\n\r\n    // Save shape of field\r\n    this.shape = field.shape.slice()\r\n    var shape = this.shape\r\n\r\n    // Resize coordinate fields if necessary\r\n    for (var i = 0; i < 2; ++i) {\r\n      if (this._field[2].size > this._field[i].data.length) {\r\n        pool.freeFloat(this._field[i].data)\r\n        this._field[i].data = pool.mallocFloat(this._field[2].size)\r\n      }\r\n      this._field[i] = ndarray(this._field[i].data, [shape[0] + 2, shape[1] + 2])\r\n    }\r\n\r\n    // Generate x/y coordinates\r\n    if (params.coords) {\r\n      var coords = params.coords\r\n      if (!Array.isArray(coords) || coords.length !== 3) {\r\n        throw new Error('gl-surface: invalid coordinates for x/y')\r\n      }\r\n      for (i = 0; i < 2; ++i) {\r\n        var coord = coords[i]\r\n        for (j = 0; j < 2; ++j) {\r\n          if (coord.shape[j] !== shape[j]) {\r\n            throw new Error('gl-surface: coords have incorrect shape')\r\n          }\r\n        }\r\n        padField(this._field[i], coord)\r\n      }\r\n    } else if (params.ticks) {\r\n      var ticks = params.ticks\r\n      if (!Array.isArray(ticks) || ticks.length !== 2) {\r\n        throw new Error('gl-surface: invalid ticks')\r\n      }\r\n      for (i = 0; i < 2; ++i) {\r\n        var tick = ticks[i]\r\n        if (Array.isArray(tick) || tick.length) {\r\n          tick = ndarray(tick)\r\n        }\r\n        if (tick.shape[0] !== shape[i]) {\r\n          throw new Error('gl-surface: invalid tick length')\r\n        }\r\n        // Make a copy view of the tick array\r\n        var tick2 = ndarray(tick.data, shape)\r\n        tick2.stride[i] = tick.stride[0]\r\n        tick2.stride[i ^ 1] = 0\r\n\r\n        // Fill in field array\r\n        padField(this._field[i], tick2)\r\n      }\r\n    } else {\r\n      for (i = 0; i < 2; ++i) {\r\n        var offset = [0, 0]\r\n        offset[i] = 1\r\n        this._field[i] = ndarray(this._field[i].data, [shape[0] + 2, shape[1] + 2], offset, 0)\r\n      }\r\n      this._field[0].set(0, 0, 0)\r\n      for (var j = 0; j < shape[0]; ++j) {\r\n        this._field[0].set(j + 1, 0, j)\r\n      }\r\n      this._field[0].set(shape[0] + 1, 0, shape[0] - 1)\r\n      this._field[1].set(0, 0, 0)\r\n      for (j = 0; j < shape[1]; ++j) {\r\n        this._field[1].set(0, j + 1, j)\r\n      }\r\n      this._field[1].set(0, shape[1] + 1, shape[1] - 1)\r\n    }\r\n\r\n    // Save shape\r\n    var fields = this._field\r\n\r\n    // Compute surface normals\r\n    var dfields = ndarray(pool.mallocFloat(fields[2].size * 3 * 2), [3, shape[0] + 2, shape[1] + 2, 2])\r\n    for (i = 0; i < 3; ++i) {\r\n      gradient(dfields.pick(i), fields[i], 'mirror')\r\n    }\r\n    var normals = ndarray(pool.mallocFloat(fields[2].size * 3), [shape[0] + 2, shape[1] + 2, 3])\r\n    for (i = 0; i < shape[0] + 2; ++i) {\r\n      for (j = 0; j < shape[1] + 2; ++j) {\r\n        var dxdu = dfields.get(0, i, j, 0)\r\n        var dxdv = dfields.get(0, i, j, 1)\r\n        var dydu = dfields.get(1, i, j, 0)\r\n        var dydv = dfields.get(1, i, j, 1)\r\n        var dzdu = dfields.get(2, i, j, 0)\r\n        var dzdv = dfields.get(2, i, j, 1)\r\n\r\n        var nx = dydu * dzdv - dydv * dzdu\r\n        var ny = dzdu * dxdv - dzdv * dxdu\r\n        var nz = dxdu * dydv - dxdv * dydu\r\n\r\n        var nl = Math.sqrt(nx * nx + ny * ny + nz * nz)\r\n        if (nl < 1e-8) {\r\n          nl = Math.max(Math.abs(nx), Math.abs(ny), Math.abs(nz))\r\n          if (nl < 1e-8) {\r\n            nz = 1.0\r\n            ny = nx = 0.0\r\n            nl = 1.0\r\n          } else {\r\n            nl = 1.0 / nl\r\n          }\r\n        } else {\r\n          nl = 1.0 / Math.sqrt(nl)\r\n        }\r\n\r\n        normals.set(i, j, 0, nx * nl)\r\n        normals.set(i, j, 1, ny * nl)\r\n        normals.set(i, j, 2, nz * nl)\r\n      }\r\n    }\r\n    pool.free(dfields.data)\r\n\r\n    // Initialize surface\r\n    var lo = [ Infinity, Infinity, Infinity ]\r\n    var hi = [ -Infinity, -Infinity, -Infinity ]\r\n    var lo_intensity = Infinity\r\n    var hi_intensity = -Infinity\r\n    var count = (shape[0] - 1) * (shape[1] - 1) * 6\r\n    var tverts = pool.mallocFloat(bits.nextPow2(10 * count))\r\n    var tptr = 0\r\n    var vertexCount = 0\r\n    for (i = 0; i < shape[0] - 1; ++i) {\r\n      j_loop:\r\n      for (j = 0; j < shape[1] - 1; ++j) {\r\n        // Test for NaNs\r\n        for (var dx = 0; dx < 2; ++dx) {\r\n          for (var dy = 0; dy < 2; ++dy) {\r\n            for (var k = 0; k < 3; ++k) {\r\n              var f = this._field[k].get(1 + i + dx, 1 + j + dy)\r\n              if (isNaN(f) || !isFinite(f)) {\r\n                continue j_loop\r\n              }\r\n            }\r\n          }\r\n        }\r\n        for (k = 0; k < 6; ++k) {\r\n          var r = i + QUAD[k][0]\r\n          var c = j + QUAD[k][1]\r\n\r\n          var tx = this._field[0].get(r + 1, c + 1)\r\n          var ty = this._field[1].get(r + 1, c + 1)\r\n          f = this._field[2].get(r + 1, c + 1)\r\n          var vf = f\r\n          nx = normals.get(r + 1, c + 1, 0)\r\n          ny = normals.get(r + 1, c + 1, 1)\r\n          nz = normals.get(r + 1, c + 1, 2)\r\n\r\n          if (params.intensity) {\r\n            vf = params.intensity.get(r, c)\r\n          }\r\n\r\n          tverts[tptr++] = r\r\n          tverts[tptr++] = c\r\n          tverts[tptr++] = tx\r\n          tverts[tptr++] = ty\r\n          tverts[tptr++] = f\r\n          tverts[tptr++] = 0\r\n          tverts[tptr++] = vf\r\n          tverts[tptr++] = nx\r\n          tverts[tptr++] = ny\r\n          tverts[tptr++] = nz\r\n\r\n          lo[0] = Math.min(lo[0], tx)\r\n          lo[1] = Math.min(lo[1], ty)\r\n          lo[2] = Math.min(lo[2], f)\r\n          lo_intensity = Math.min(lo_intensity, vf)\r\n\r\n          hi[0] = Math.max(hi[0], tx)\r\n          hi[1] = Math.max(hi[1], ty)\r\n          hi[2] = Math.max(hi[2], f)\r\n          hi_intensity = Math.max(hi_intensity, vf)\r\n\r\n          vertexCount += 1\r\n        }\r\n      }\r\n    }\r\n\r\n    if (params.intensityBounds) {\r\n      lo_intensity = +params.intensityBounds[0]\r\n      hi_intensity = +params.intensityBounds[1]\r\n    }\r\n\r\n    // Scale all vertex intensities\r\n    for (i = 6; i < tptr; i += 10) {\r\n      tverts[i] = (tverts[i] - lo_intensity) / (hi_intensity - lo_intensity)\r\n    }\r\n\r\n    this._vertexCount = vertexCount\r\n    this._coordinateBuffer.update(tverts.subarray(0, tptr))\r\n    pool.freeFloat(tverts)\r\n    pool.free(normals.data)\r\n\r\n    // Update bounds\r\n    this.bounds = [lo, hi]\r\n\r\n    // Save intensity\r\n    this.intensity = params.intensity || this._field[2]\r\n\r\n    if(this.intensityBounds[0] !== lo_intensity || this.intensityBounds[1] !== hi_intensity) {\r\n        levelsChanged = true\r\n    }\r\n\r\n    // Save intensity bound\r\n    this.intensityBounds = [lo_intensity, hi_intensity]\r\n  }\r\n\r\n  // Update level crossings\r\n  if ('levels' in params) {\r\n    var levels = params.levels\r\n    if (!Array.isArray(levels[0])) {\r\n      levels = [ [], [], levels ]\r\n    } else {\r\n      levels = levels.slice()\r\n    }\r\n    for (i = 0; i < 3; ++i) {\r\n      levels[i] = levels[i].slice()\r\n      levels.sort(function (a, b) {\r\n        return a - b\r\n      })\r\n    }\r\n    change_test:\r\n    for (i = 0; i < 3; ++i) {\r\n      if (levels[i].length !== this.contourLevels[i].length) {\r\n        levelsChanged = true\r\n        break\r\n      }\r\n      for (j = 0; j < levels[i].length; ++j) {\r\n        if (levels[i][j] !== this.contourLevels[i][j]) {\r\n          levelsChanged = true\r\n          break change_test\r\n        }\r\n      }\r\n    }\r\n    this.contourLevels = levels\r\n  }\r\n\r\n  if (levelsChanged) {\r\n    fields = this._field\r\n    shape = this.shape\r\n\r\n    // Update contour lines\r\n    var contourVerts = []\r\n\r\n    for (var dim = 0; dim < 3; ++dim) {\r\n      levels = this.contourLevels[dim]\r\n      var levelOffsets = []\r\n      var levelCounts = []\r\n\r\n      var parts = [0, 0, 0]\r\n\r\n      for (i = 0; i < levels.length; ++i) {\r\n        var graph = surfaceNets(this._field[dim], levels[i])\r\n        levelOffsets.push((contourVerts.length / 5) | 0)\r\n        vertexCount = 0\r\n\r\n        edge_loop:\r\n        for (j = 0; j < graph.cells.length; ++j) {\r\n          var e = graph.cells[j]\r\n          for (k = 0; k < 2; ++k) {\r\n            var p = graph.positions[e[k]]\r\n\r\n            var x = p[0]\r\n            var ix = Math.floor(x) | 0\r\n            var fx = x - ix\r\n\r\n            var y = p[1]\r\n            var iy = Math.floor(y) | 0\r\n            var fy = y - iy\r\n\r\n            var hole = false\r\n            dd_loop:\r\n            for (var dd = 0; dd < 3; ++dd) {\r\n              parts[dd] = 0.0\r\n              var iu = (dim + dd + 1) % 3\r\n              for (dx = 0; dx < 2; ++dx) {\r\n                var s = dx ? fx : 1.0 - fx\r\n                r = Math.min(Math.max(ix + dx, 0), shape[0]) | 0\r\n                for (dy = 0; dy < 2; ++dy) {\r\n                  var t = dy ? fy : 1.0 - fy\r\n                  c = Math.min(Math.max(iy + dy, 0), shape[1]) | 0\r\n\r\n                  if (dd < 2) {\r\n                    f = this._field[iu].get(r, c)\r\n                  } else {\r\n                    f = (this.intensity.get(r, c) - this.intensityBounds[0]) / (this.intensityBounds[1] - this.intensityBounds[0])\r\n                  }\r\n                  if (!isFinite(f) || isNaN(f)) {\r\n                    hole = true\r\n                    break dd_loop\r\n                  }\r\n\r\n                  var w = s * t\r\n                  parts[dd] += w * f\r\n                }\r\n              }\r\n            }\r\n\r\n            if (!hole) {\r\n              contourVerts.push(parts[0], parts[1], p[0], p[1], parts[2])\r\n              vertexCount += 1\r\n            } else {\r\n              if (k > 0) {\r\n                // If we already added first edge, pop off verts\r\n                for (var l = 0; l < 5; ++l) {\r\n                  contourVerts.pop()\r\n                }\r\n                vertexCount -= 1\r\n              }\r\n              continue edge_loop\r\n            }\r\n          }\r\n        }\r\n        levelCounts.push(vertexCount)\r\n      }\r\n\r\n      // Store results\r\n      this._contourOffsets[dim] = levelOffsets\r\n      this._contourCounts[dim] = levelCounts\r\n    }\r\n\r\n    var floatBuffer = pool.mallocFloat(contourVerts.length)\r\n    for (i = 0; i < contourVerts.length; ++i) {\r\n      floatBuffer[i] = contourVerts[i]\r\n    }\r\n    this._contourBuffer.update(floatBuffer)\r\n    pool.freeFloat(floatBuffer)\r\n  }\r\n\r\n  if (params.colormap) {\r\n    this._colorMap.setPixels(genColormap(params.colormap))\r\n  }\r\n}\r\n\r\nproto.dispose = function () {\r\n  this._shader.dispose()\r\n  this._vao.dispose()\r\n  this._coordinateBuffer.dispose()\r\n  this._colorMap.dispose()\r\n  this._contourBuffer.dispose()\r\n  this._contourVAO.dispose()\r\n  this._contourShader.dispose()\r\n  this._contourPickShader.dispose()\r\n  this._dynamicBuffer.dispose()\r\n  this._dynamicVAO.dispose()\r\n  for (var i = 0; i < 3; ++i) {\r\n    pool.freeFloat(this._field[i].data)\r\n  }\r\n}\r\n\r\nproto.highlight = function (selection) {\r\n  if (!selection) {\r\n    this._dynamicCounts = [0, 0, 0]\r\n    this.dyanamicLevel = [NaN, NaN, NaN]\r\n    this.highlightLevel = [-1, -1, -1]\r\n    return\r\n  }\r\n\r\n  for (var i = 0; i < 3; ++i) {\r\n    if (this.enableHighlight[i]) {\r\n      this.highlightLevel[i] = selection.level[i]\r\n    } else {\r\n      this.highlightLevel[i] = -1\r\n    }\r\n  }\r\n\r\n  var levels\r\n  if (this.snapToData) {\r\n    levels = selection.dataCoordinate\r\n  } else {\r\n    levels = selection.position\r\n  }\r\n  if ((!this.enableDynamic[0] || levels[0] === this.dynamicLevel[0]) &&\r\n    (!this.enableDynamic[1] || levels[1] === this.dynamicLevel[1]) &&\r\n    (!this.enableDynamic[2] || levels[2] === this.dynamicLevel[2])) {\r\n    return\r\n  }\r\n\r\n  var vertexCount = 0\r\n  var shape = this.shape\r\n  var scratchBuffer = pool.mallocFloat(12 * shape[0] * shape[1])\r\n\r\n  for (var d = 0; d < 3; ++d) {\r\n    if (!this.enableDynamic[d]) {\r\n      this.dynamicLevel[d] = NaN\r\n      this._dynamicCounts[d] = 0\r\n      continue\r\n    }\r\n\r\n    this.dynamicLevel[d] = levels[d]\r\n\r\n    var u = (d + 1) % 3\r\n    var v = (d + 2) % 3\r\n\r\n    var f = this._field[d]\r\n    var g = this._field[u]\r\n    var h = this._field[v]\r\n    var intensity = this.intensity\r\n\r\n    var graph = surfaceNets(f, levels[d])\r\n    var edges = graph.cells\r\n    var positions = graph.positions\r\n\r\n    this._dynamicOffsets[d] = vertexCount\r\n\r\n    for (i = 0; i < edges.length; ++i) {\r\n      var e = edges[i]\r\n      for (var j = 0; j < 2; ++j) {\r\n        var p = positions[e[j]]\r\n\r\n        var x = +p[0]\r\n        var ix = x | 0\r\n        var jx = Math.min(ix + 1, shape[0]) | 0\r\n        var fx = x - ix\r\n        var hx = 1.0 - fx\r\n\r\n        var y = +p[1]\r\n        var iy = y | 0\r\n        var jy = Math.min(iy + 1, shape[1]) | 0\r\n        var fy = y - iy\r\n        var hy = 1.0 - fy\r\n\r\n        var w00 = hx * hy\r\n        var w01 = hx * fy\r\n        var w10 = fx * hy\r\n        var w11 = fx * fy\r\n\r\n        var cu = w00 * g.get(ix, iy) +\r\n          w01 * g.get(ix, jy) +\r\n          w10 * g.get(jx, iy) +\r\n          w11 * g.get(jx, jy)\r\n\r\n        var cv = w00 * h.get(ix, iy) +\r\n          w01 * h.get(ix, jy) +\r\n          w10 * h.get(jx, iy) +\r\n          w11 * h.get(jx, jy)\r\n\r\n        if (isNaN(cu) || isNaN(cv)) {\r\n          if (j) {\r\n            vertexCount -= 1\r\n          }\r\n          break\r\n        }\r\n\r\n        scratchBuffer[2 * vertexCount + 0] = cu\r\n        scratchBuffer[2 * vertexCount + 1] = cv\r\n\r\n        vertexCount += 1\r\n      }\r\n    }\r\n\r\n    this._dynamicCounts[d] = vertexCount - this._dynamicOffsets[d]\r\n  }\r\n\r\n  this._dynamicBuffer.update(scratchBuffer.subarray(0, 2 * vertexCount))\r\n  pool.freeFloat(scratchBuffer)\r\n}\r\n\r\nfunction createSurfacePlot (params) {\r\n  var gl = params.gl\r\n  var shader = createShader(gl)\r\n  var pickShader = createPickShader(gl)\r\n  var contourShader = createContourShader(gl)\r\n  var contourPickShader = createPickContourShader(gl)\r\n\r\n  var coordinateBuffer = createBuffer(gl)\r\n  var vao = createVAO(gl, [\r\n    { buffer: coordinateBuffer,\r\n      size: 4,\r\n      stride: SURFACE_VERTEX_SIZE,\r\n      offset: 0\r\n    },\r\n    { buffer: coordinateBuffer,\r\n      size: 3,\r\n      stride: SURFACE_VERTEX_SIZE,\r\n      offset: 16\r\n    },\r\n    {\r\n      buffer: coordinateBuffer,\r\n      size: 3,\r\n      stride: SURFACE_VERTEX_SIZE,\r\n      offset: 28\r\n    }\r\n  ])\r\n\r\n  var contourBuffer = createBuffer(gl)\r\n  var contourVAO = createVAO(gl, [\r\n    {\r\n      buffer: contourBuffer,\r\n      size: 4,\r\n      stride: 20,\r\n      offset: 0\r\n    },\r\n    {\r\n      buffer: contourBuffer,\r\n      size: 1,\r\n      stride: 20,\r\n      offset: 16\r\n    }\r\n  ])\r\n\r\n  var dynamicBuffer = createBuffer(gl)\r\n  var dynamicVAO = createVAO(gl, [\r\n    {\r\n      buffer: dynamicBuffer,\r\n      size: 2,\r\n      type: gl.FLOAT\r\n    }])\r\n\r\n  var cmap = createTexture(gl, 1, N_COLORS, gl.RGBA, gl.UNSIGNED_BYTE)\r\n  cmap.minFilter = gl.LINEAR\r\n  cmap.magFilter = gl.LINEAR\r\n\r\n  var surface = new SurfacePlot(\r\n    gl,\r\n    [0, 0],\r\n    [[0, 0, 0], [0, 0, 0]],\r\n    shader,\r\n    pickShader,\r\n    coordinateBuffer,\r\n    vao,\r\n    cmap,\r\n    contourShader,\r\n    contourPickShader,\r\n    contourBuffer,\r\n    contourVAO,\r\n    dynamicBuffer,\r\n    dynamicVAO\r\n  )\r\n\r\n  var nparams = {\r\n    levels: [[], [], []]\r\n  }\r\n  for (var id in params) {\r\n    nparams[id] = params[id]\r\n  }\r\n  nparams.colormap = nparams.colormap || 'jet'\r\n\r\n  surface.update(nparams)\r\n\r\n  return surface\r\n}\r\n\n},{\"./lib/shaders\":302,\"binary-search-bounds\":79,\"bit-twiddle\":80,\"colormap\":114,\"gl-buffer\":230,\"gl-mat4/invert\":254,\"gl-mat4/multiply\":256,\"gl-texture2d\":305,\"gl-vao\":310,\"ndarray\":433,\"ndarray-gradient\":424,\"ndarray-ops\":427,\"ndarray-pack\":428,\"surface-nets\":508,\"typedarray-pool\":522}],304:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar Font = _dereq_('css-font')\r\nvar pick = _dereq_('pick-by-alias')\r\nvar createRegl = _dereq_('regl')\r\nvar createGl = _dereq_('gl-util/context')\r\nvar WeakMap = _dereq_('es6-weak-map')\r\nvar rgba = _dereq_('color-normalize')\r\nvar fontAtlas = _dereq_('font-atlas')\r\nvar pool = _dereq_('typedarray-pool')\r\nvar parseRect = _dereq_('parse-rect')\r\nvar isObj = _dereq_('is-plain-obj')\r\nvar parseUnit = _dereq_('parse-unit')\r\nvar px = _dereq_('to-px')\r\nvar kerning = _dereq_('detect-kerning')\r\nvar extend = _dereq_('object-assign')\r\nvar metrics = _dereq_('font-measure')\r\nvar flatten = _dereq_('flatten-vertex-data')\r\nvar ref = _dereq_('bit-twiddle');\nvar nextPow2 = ref.nextPow2;\r\n\r\nvar shaderCache = new WeakMap\r\n\r\n\r\n// Safari does not support font-stretch\r\nvar isStretchSupported = false\r\nif (document.body) {\r\n    var el = document.body.appendChild(document.createElement('div'))\r\n    el.style.font = 'italic small-caps bold condensed 16px/2 cursive'\r\n    if (getComputedStyle(el).fontStretch) {\r\n        isStretchSupported = true\r\n    }\r\n    document.body.removeChild(el)\r\n}\r\n\r\nvar GlText = function GlText (o) {\r\n\tif (isRegl(o)) {\r\n\t\to = {regl: o}\r\n\t\tthis.gl = o.regl._gl\r\n\t}\r\n\telse {\r\n\t\tthis.gl = createGl(o)\r\n\t}\r\n\r\n\tthis.shader = shaderCache.get(this.gl)\r\n\r\n\tif (!this.shader) {\r\n\t\tthis.regl = o.regl || createRegl({ gl: this.gl })\r\n\t}\r\n\telse {\r\n\t\tthis.regl = this.shader.regl\r\n\t}\r\n\r\n\tthis.charBuffer = this.regl.buffer({ type: 'uint8', usage: 'stream' })\r\n\tthis.sizeBuffer = this.regl.buffer({ type: 'float', usage: 'stream' })\r\n\r\n\tif (!this.shader) {\r\n\t\tthis.shader = this.createShader()\r\n\t\tshaderCache.set(this.gl, this.shader)\r\n\t}\r\n\r\n\tthis.batch = []\r\n\r\n\t// multiple options initial state\r\n\tthis.fontSize = []\r\n\tthis.font = []\r\n\tthis.fontAtlas = []\r\n\r\n\tthis.draw = this.shader.draw.bind(this)\r\n\tthis.render = function () {\r\n\t\t// FIXME: add Safari regl report here:\r\n\t\t// charBuffer and width just do not trigger\r\n\t\tthis.regl._refresh()\r\n\t\tthis.draw(this.batch)\r\n\t}\r\n\tthis.canvas = this.gl.canvas\r\n\r\n\tthis.update(isObj(o) ? o : {})\r\n};\r\n\r\nGlText.prototype.createShader = function createShader () {\r\n\tvar regl = this.regl\r\n\r\n\t// FIXME: store 2 shader versions: with normal viewport and without\r\n\t// draw texture method\r\n\tvar draw = regl({\r\n\t\tblend: {\r\n\t\t\tenable: true,\r\n\t\t\tcolor: [0,0,0,1],\r\n\r\n\t\t\tfunc: {\r\n\t\t\t\tsrcRGB: 'src alpha',\r\n\t\t\t\tdstRGB: 'one minus src alpha',\r\n\t\t\t\tsrcAlpha: 'one minus dst alpha',\r\n\t\t\t\tdstAlpha: 'one'\r\n\t\t\t}\r\n\t\t},\r\n\t\tstencil: {enable: false},\r\n\t\tdepth: {enable: false},\r\n\r\n\t\tcount: regl.prop('count'),\r\n\t\toffset: regl.prop('offset'),\r\n\t\tattributes: {\r\n\t\t\tcharOffset: {\r\n\t\t\t\toffset: 4,\r\n\t\t\t\tstride: 8,\r\n\t\t\t\tbuffer: regl.this('sizeBuffer')\r\n\t\t\t},\r\n\t\t\twidth: {\r\n\t\t\t\toffset: 0,\r\n\t\t\t\tstride: 8,\r\n\t\t\t\tbuffer: regl.this('sizeBuffer')\r\n\t\t\t},\r\n\t\t\tchar: regl.this('charBuffer'),\r\n\t\t\tposition: regl.this('position')\r\n\t\t},\r\n\t\tuniforms: {\r\n\t\t\tatlasSize: function (c, p) { return [p.atlas.width, p.atlas.height]; },\r\n\t\t\tatlasDim: function (c, p) { return [p.atlas.cols, p.atlas.rows]; },\r\n\t\t\tatlas: function (c, p) { return p.atlas.texture; },\r\n\t\t\tcharStep: function (c, p) { return p.atlas.step; },\r\n\t\t\tem: function (c, p) { return p.atlas.em; },\r\n\t\t\tcolor: regl.prop('color'),\r\n\t\t\topacity: regl.prop('opacity'),\r\n\t\t\tviewport: regl.this('viewportArray'),\r\n\t\t\tscale: regl.this('scale'),\r\n\t\t\talign: regl.prop('align'),\r\n\t\t\tbaseline: regl.prop('baseline'),\r\n\t\t\ttranslate: regl.this('translate'),\r\n\t\t\tpositionOffset: regl.prop('positionOffset')\r\n\t\t},\r\n\t\tprimitive: 'points',\r\n\t\tviewport: regl.this('viewport'),\r\n\r\n\t\tvert: (\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\" + (!GlText.normalViewport ? 'vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);' : '') + \"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\" + (GlText.normalViewport ? 'position.y = 1. - position.y;' : '') + \"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\"),\r\n\r\n\t\tfrag: \"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"\r\n\t})\r\n\r\n\t// per font-size atlas\r\n\tvar atlas = {}\r\n\r\n\treturn { regl: regl, draw: draw, atlas: atlas }\r\n};\r\n\r\nGlText.prototype.update = function update (o) {\n\t\tvar this$1 = this;\n\r\n\tif (typeof o === 'string') { o = { text: o } }\r\n\telse if (!o) { return }\r\n\r\n\t// FIXME: make this a static transform or more general approact\r\n\to = pick(o, {\r\n\t\tposition: 'position positions coord coords coordinates',\r\n\t\tfont: 'font fontFace fontface typeface cssFont css-font family fontFamily',\r\n\t\tfontSize: 'fontSize fontsize size font-size',\r\n\t\ttext: 'text texts chars characters value values symbols',\r\n\t\talign: 'align alignment textAlign textbaseline',\r\n\t\tbaseline: 'baseline textBaseline textbaseline',\r\n\t\tdirection: 'dir direction textDirection',\r\n\t\tcolor: 'color colour fill fill-color fillColor textColor textcolor',\r\n\t\tkerning: 'kerning kern',\r\n\t\trange: 'range dataBox',\r\n\t\tviewport: 'vp viewport viewBox viewbox viewPort',\r\n\t\topacity: 'opacity alpha transparency visible visibility opaque',\r\n\t\toffset: 'offset positionOffset padding shift indent indentation'\r\n\t}, true)\r\n\r\n\r\n\tif (o.opacity != null) {\r\n\t\tif (Array.isArray(o.opacity)) {\r\n\t\t\tthis.opacity = o.opacity.map(function (o) { return parseFloat(o); })\r\n\t\t}\r\n\t\telse {\r\n\t\t\tthis.opacity = parseFloat(o.opacity)\r\n\t\t}\r\n\t}\r\n\r\n\tif (o.viewport != null) {\r\n\t\tthis.viewport = parseRect(o.viewport)\r\n\r\n\t\tif (GlText.normalViewport) {\r\n\t\t\tthis.viewport.y = this.canvas.height - this.viewport.y - this.viewport.height\r\n\t\t}\r\n\r\n\t\tthis.viewportArray = [this.viewport.x, this.viewport.y, this.viewport.width, this.viewport.height]\r\n\r\n\t}\r\n\tif (this.viewport == null) {\r\n\t\tthis.viewport = {\r\n\t\t\tx: 0, y: 0,\r\n\t\t\twidth: this.gl.drawingBufferWidth,\r\n\t\t\theight: this.gl.drawingBufferHeight\r\n\t\t}\r\n\t\tthis.viewportArray = [this.viewport.x, this.viewport.y, this.viewport.width, this.viewport.height]\r\n\t}\r\n\r\n\tif (o.kerning != null) { this.kerning = o.kerning }\r\n\r\n\tif (o.offset != null) {\r\n\t\tif (typeof o.offset === 'number') { o.offset = [o.offset, 0] }\r\n\r\n\t\tthis.positionOffset = flatten(o.offset)\r\n\t}\r\n\r\n\tif (o.direction) { this.direction = o.direction }\r\n\r\n\tif (o.range) {\r\n\t\tthis.range = o.range\r\n\t\tthis.scale = [1 / (o.range[2] - o.range[0]), 1 / (o.range[3] - o.range[1])]\r\n\t\tthis.translate = [-o.range[0], -o.range[1]]\r\n\t}\r\n\tif (o.scale) { this.scale = o.scale }\r\n\tif (o.translate) { this.translate = o.translate }\r\n\r\n\t// default scale corresponds to viewport\r\n\tif (!this.scale) { this.scale = [1 / this.viewport.width, 1 / this.viewport.height] }\r\n\r\n\tif (!this.translate) { this.translate = [0, 0] }\r\n\r\n\tif (!this.font.length && !o.font) { o.font = GlText.baseFontSize + 'px sans-serif' }\r\n\r\n\t// normalize font caching string\r\n\tvar newFont = false, newFontSize = false\r\n\r\n\t// obtain new font data\r\n\tif (o.font) {\r\n\t\t(Array.isArray(o.font) ? o.font : [o.font]).forEach(function (font, i) {\r\n\t\t\t// normalize font\r\n\t\t\tif (typeof font === 'string') {\r\n\t\t\t\ttry {\r\n\t\t\t\t\tfont = Font.parse(font)\r\n\t\t\t\t} catch (e) {\r\n\t\t\t\t\tfont = Font.parse(GlText.baseFontSize + 'px ' + font)\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\telse { font = Font.parse(Font.stringify(font)) }\r\n\r\n\t\t\tvar baseString = Font.stringify({\r\n\t\t\t\tsize: GlText.baseFontSize,\r\n\t\t\t\tfamily: font.family,\r\n\t\t\t\tstretch: isStretchSupported ? font.stretch : undefined,\r\n\t\t\t\tvariant: font.variant,\r\n\t\t\t\tweight: font.weight,\r\n\t\t\t\tstyle: font.style\r\n\t\t\t})\r\n\r\n\t\t\tvar unit = parseUnit(font.size)\r\n\t\t\tvar fs = Math.round(unit[0] * px(unit[1]))\r\n\t\t\tif (fs !== this$1.fontSize[i]) {\r\n\t\t\t\tnewFontSize = true\r\n\t\t\t\tthis$1.fontSize[i] = fs\r\n\t\t\t}\r\n\r\n\t\t\t// calc new font metrics/atlas\r\n\t\t\tif (!this$1.font[i] || baseString != this$1.font[i].baseString) {\r\n\t\t\t\tnewFont = true\r\n\r\n\t\t\t\t// obtain font cache or create one\r\n\t\t\t\tthis$1.font[i] = GlText.fonts[baseString]\r\n\t\t\t\tif (!this$1.font[i]) {\r\n\t\t\t\t\tvar family = font.family.join(', ')\r\n\t\t\t\t\tvar style = [font.style]\r\n\t\t\t\t\tif (font.style != font.variant) { style.push(font.variant) }\r\n\t\t\t\t\tif (font.variant != font.weight) { style.push(font.weight) }\r\n\t\t\t\t\tif (isStretchSupported && font.weight != font.stretch) { style.push(font.stretch) }\r\n\r\n\t\t\t\t\tthis$1.font[i] = {\r\n\t\t\t\t\t\tbaseString: baseString,\r\n\r\n\t\t\t\t\t\t// typeface\r\n\t\t\t\t\t\tfamily: family,\r\n\t\t\t\t\t\tweight: font.weight,\r\n\t\t\t\t\t\tstretch: font.stretch,\r\n\t\t\t\t\t\tstyle: font.style,\r\n\t\t\t\t\t\tvariant: font.variant,\r\n\r\n\t\t\t\t\t\t// widths of characters\r\n\t\t\t\t\t\twidth: {},\r\n\r\n\t\t\t\t\t\t// kernin pairs offsets\r\n\t\t\t\t\t\tkerning: {},\r\n\r\n\t\t\t\t\t\tmetrics: metrics(family, {\r\n\t\t\t\t\t\t\torigin: 'top',\r\n\t\t\t\t\t\t\tfontSize: GlText.baseFontSize,\r\n\t\t\t\t\t\t\tfontStyle: style.join(' ')\r\n\t\t\t\t\t\t})\r\n\t\t\t\t\t}\r\n\r\n\t\t\t\t\tGlText.fonts[baseString] = this$1.font[i]\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t})\r\n\t}\r\n\r\n\t// FIXME: make independend font-size\r\n\t// if (o.fontSize) {\r\n\t// let unit = parseUnit(o.fontSize)\r\n\t// let fs = Math.round(unit[0] * px(unit[1]))\r\n\r\n\t// if (fs != this.fontSize) {\r\n\t// \tnewFontSize = true\r\n\t// \tthis.fontSize = fs\r\n\t// }\r\n\t// }\r\n\r\n\tif (newFont || newFontSize) {\r\n\t\tthis.font.forEach(function (font, i) {\r\n\t\t\tvar fontString = Font.stringify({\r\n\t\t\t\tsize: this$1.fontSize[i],\r\n\t\t\t\tfamily: font.family,\r\n\t\t\t\tstretch: isStretchSupported ? font.stretch : undefined,\r\n\t\t\t\tvariant: font.variant,\r\n\t\t\t\tweight: font.weight,\r\n\t\t\t\tstyle: font.style\r\n\t\t\t})\r\n\r\n\t\t\t// calc new font size atlas\r\n\t\t\tthis$1.fontAtlas[i] = this$1.shader.atlas[fontString]\r\n\r\n\t\t\tif (!this$1.fontAtlas[i]) {\r\n\t\t\t\tvar metrics = font.metrics\r\n\r\n\t\t\t\tthis$1.shader.atlas[fontString] =\r\n\t\t\t\tthis$1.fontAtlas[i] = {\r\n\t\t\t\t\tfontString: fontString,\r\n\t\t\t\t\t// even step is better for rendered characters\r\n\t\t\t\t\tstep: Math.ceil(this$1.fontSize[i] * metrics.bottom * .5) * 2,\r\n\t\t\t\t\tem: this$1.fontSize[i],\r\n\t\t\t\t\tcols: 0,\r\n\t\t\t\t\trows: 0,\r\n\t\t\t\t\theight: 0,\r\n\t\t\t\t\twidth: 0,\r\n\t\t\t\t\tchars: [],\r\n\t\t\t\t\tids: {},\r\n\t\t\t\t\ttexture: this$1.regl.texture()\r\n\t\t\t\t}\r\n\t\t\t}\r\n\r\n\t\t\t// bump atlas characters\r\n\t\t\tif (o.text == null) { o.text = this$1.text }\r\n\t\t})\r\n\t}\r\n\r\n\t// if multiple positions - duplicate text arguments\r\n\t// FIXME: this possibly can be done better to avoid array spawn\r\n\tif (typeof o.text === 'string' && o.position && o.position.length > 2) {\r\n\t\tvar textArray = Array(o.position.length * .5)\r\n\t\tfor (var i = 0; i < textArray.length; i++) {\r\n\t\t\ttextArray[i] = o.text\r\n\t\t}\r\n\t\to.text = textArray\r\n\t}\r\n\r\n\t// calculate offsets for the new font/text\r\n\tvar newAtlasChars\r\n\tif (o.text != null || newFont) {\r\n\t\t// FIXME: ignore spaces\r\n\t\t// text offsets within the text buffer\r\n\t\tthis.textOffsets = [0]\r\n\r\n\t\tif (Array.isArray(o.text)) {\r\n\t\t\tthis.count = o.text[0].length\r\n\t\t\tthis.counts = [this.count]\r\n\t\t\tfor (var i$1 = 1; i$1 < o.text.length; i$1++) {\r\n\t\t\t\tthis$1.textOffsets[i$1] = this$1.textOffsets[i$1 - 1] + o.text[i$1 - 1].length\r\n\t\t\t\tthis$1.count += o.text[i$1].length\r\n\t\t\t\tthis$1.counts.push(o.text[i$1].length)\r\n\t\t\t}\r\n\t\t\tthis.text = o.text.join('')\r\n\t\t}\r\n\t\telse {\r\n\t\t\tthis.text = o.text\r\n\t\t\tthis.count = this.text.length\r\n\t\t\tthis.counts = [this.count]\r\n\t\t}\r\n\r\n\t\tnewAtlasChars = []\r\n\r\n\t\t// detect & measure new characters\r\n\t\tthis.font.forEach(function (font, idx) {\r\n\t\t\tGlText.atlasContext.font = font.baseString\r\n\r\n\t\t\tvar atlas = this$1.fontAtlas[idx]\r\n\r\n\t\t\tfor (var i = 0; i < this$1.text.length; i++) {\r\n\t\t\t\tvar char = this$1.text.charAt(i)\r\n\r\n\t\t\t\tif (atlas.ids[char] == null) {\r\n\t\t\t\t\tatlas.ids[char] = atlas.chars.length\r\n\t\t\t\t\tatlas.chars.push(char)\r\n\t\t\t\t\tnewAtlasChars.push(char)\r\n\t\t\t\t}\r\n\r\n\t\t\t\tif (font.width[char] == null) {\r\n\t\t\t\t\tfont.width[char] = GlText.atlasContext.measureText(char).width / GlText.baseFontSize\r\n\r\n\t\t\t\t\t// measure kerning pairs for the new character\r\n\t\t\t\t\tif (this$1.kerning) {\r\n\t\t\t\t\t\tvar pairs = []\r\n\t\t\t\t\t\tfor (var baseChar in font.width) {\r\n\t\t\t\t\t\t\tpairs.push(baseChar + char, char + baseChar)\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t\textend(font.kerning, kerning(font.family, {\r\n\t\t\t\t\t\t\tpairs: pairs\r\n\t\t\t\t\t\t}))\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t})\r\n\t}\r\n\r\n\t// create single position buffer (faster than batch or multiple separate instances)\r\n\tif (o.position) {\r\n\t\tif (o.position.length > 2) {\r\n\t\t\tvar flat = !o.position[0].length\r\n\t\t\tvar positionData = pool.mallocFloat(this.count * 2)\r\n\t\t\tfor (var i$2 = 0, ptr = 0; i$2 < this.counts.length; i$2++) {\r\n\t\t\t\tvar count = this$1.counts[i$2]\r\n\t\t\t\tif (flat) {\r\n\t\t\t\t\tfor (var j = 0; j < count; j++) {\r\n\t\t\t\t\t\tpositionData[ptr++] = o.position[i$2 * 2]\r\n\t\t\t\t\t\tpositionData[ptr++] = o.position[i$2 * 2 + 1]\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t\telse {\r\n\t\t\t\t\tfor (var j$1 = 0; j$1 < count; j$1++) {\r\n\t\t\t\t\t\tpositionData[ptr++] = o.position[i$2][0]\r\n\t\t\t\t\t\tpositionData[ptr++] = o.position[i$2][1]\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tif (this.position.call) {\r\n\t\t\t\tthis.position({\r\n\t\t\t\t\ttype: 'float',\r\n\t\t\t\t\tdata: positionData\r\n\t\t\t\t})\r\n\t\t\t} else {\r\n\t\t\t\tthis.position = this.regl.buffer({\r\n\t\t\t\t\ttype: 'float',\r\n\t\t\t\t\tdata: positionData\r\n\t\t\t\t})\r\n\t\t\t}\r\n\t\t\tpool.freeFloat(positionData)\r\n\t\t}\r\n\t\telse {\r\n\t\t\tif (this.position.destroy) { this.position.destroy() }\r\n\t\t\tthis.position = {\r\n\t\t\t\tconstant: o.position\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n\r\n\t// populate text/offset buffers if font/text has changed\r\n\t// as [charWidth, offset, charWidth, offset...]\r\n\t// that is in em units since font-size can change often\r\n\tif (o.text || newFont) {\r\n\t\tvar charIds = pool.mallocUint8(this.count)\r\n\t\tvar sizeData = pool.mallocFloat(this.count * 2)\r\n\t\tthis.textWidth = []\r\n\r\n\t\tfor (var i$3 = 0, ptr$1 = 0; i$3 < this.counts.length; i$3++) {\r\n\t\t\tvar count$1 = this$1.counts[i$3]\r\n\t\t\tvar font = this$1.font[i$3] || this$1.font[0]\r\n\t\t\tvar atlas = this$1.fontAtlas[i$3] || this$1.fontAtlas[0]\r\n\r\n\t\t\tfor (var j$2 = 0; j$2 < count$1; j$2++) {\r\n\t\t\t\tvar char = this$1.text.charAt(ptr$1)\r\n\t\t\t\tvar prevChar = this$1.text.charAt(ptr$1 - 1)\r\n\r\n\t\t\t\tcharIds[ptr$1] = atlas.ids[char]\r\n\t\t\t\tsizeData[ptr$1 * 2] = font.width[char]\r\n\r\n\t\t\t\tif (j$2) {\r\n\t\t\t\t\tvar prevWidth = sizeData[ptr$1 * 2 - 2]\r\n\t\t\t\t\tvar currWidth = sizeData[ptr$1 * 2]\r\n\t\t\t\t\tvar prevOffset = sizeData[ptr$1 * 2 - 1]\r\n\t\t\t\t\tvar offset = prevOffset + prevWidth * .5 + currWidth * .5;\r\n\r\n\t\t\t\t\tif (this$1.kerning) {\r\n\t\t\t\t\t\tvar kerning$1 = font.kerning[prevChar + char]\r\n\t\t\t\t\t\tif (kerning$1) {\r\n\t\t\t\t\t\t\toffset += kerning$1 * 1e-3\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\r\n\t\t\t\t\tsizeData[ptr$1 * 2 + 1] = offset\r\n\t\t\t\t}\r\n\t\t\t\telse {\r\n\t\t\t\t\tsizeData[ptr$1 * 2 + 1] = sizeData[ptr$1 * 2] * .5\r\n\t\t\t\t}\r\n\r\n\t\t\t\tptr$1++\r\n\t\t\t}\r\n\t\t\tthis$1.textWidth.push(\r\n\t\t\t\t!sizeData.length ? 0 :\r\n\t\t\t\t// last offset + half last width\r\n\t\t\t\tsizeData[ptr$1 * 2 - 2] * .5 + sizeData[ptr$1 * 2 - 1]\r\n\t\t\t)\r\n\t\t}\r\n\r\n\r\n\t\t// bump recalc align offset\r\n\t\tif (!o.align) { o.align = this.align }\r\n\t\tthis.charBuffer({data: charIds, type: 'uint8', usage: 'stream'})\r\n\t\tthis.sizeBuffer({data: sizeData, type: 'float', usage: 'stream'})\r\n\t\tpool.freeUint8(charIds)\r\n\t\tpool.freeFloat(sizeData)\r\n\r\n\t\t// udpate font atlas and texture\r\n\t\tif (newAtlasChars.length) {\r\n\t\t\tthis.font.forEach(function (font, i) {\r\n\t\t\t\tvar atlas = this$1.fontAtlas[i]\r\n\r\n\t\t\t\t// FIXME: insert metrics-based ratio here\r\n\t\t\t\tvar step = atlas.step\r\n\r\n\t\t\t\tvar maxCols = Math.floor(GlText.maxAtlasSize / step)\r\n\t\t\t\tvar cols = Math.min(maxCols, atlas.chars.length)\r\n\t\t\t\tvar rows = Math.ceil(atlas.chars.length / cols)\r\n\r\n\t\t\t\tvar atlasWidth = nextPow2( cols * step )\r\n\t\t\t\t// let atlasHeight = Math.min(rows * step + step * .5, GlText.maxAtlasSize);\r\n\t\t\t\tvar atlasHeight = nextPow2( rows * step );\r\n\r\n\t\t\t\tatlas.width = atlasWidth\r\n\t\t\t\tatlas.height = atlasHeight;\r\n\t\t\t\tatlas.rows = rows\r\n\t\t\t\tatlas.cols = cols\r\n\r\n\t\t\t\tif (!atlas.em) { return }\r\n\r\n\t\t\t\tatlas.texture({\r\n\t\t\t\t\tdata: fontAtlas({\r\n\t\t\t\t\t\tcanvas: GlText.atlasCanvas,\r\n\t\t\t\t\t\tfont: atlas.fontString,\r\n\t\t\t\t\t\tchars: atlas.chars,\r\n\t\t\t\t\t\tshape: [atlasWidth, atlasHeight],\r\n\t\t\t\t\t\tstep: [step, step]\r\n\t\t\t\t\t})\r\n\t\t\t\t})\r\n\r\n\t\t\t})\r\n\t\t}\r\n\t}\r\n\r\n\tif (o.align) {\r\n\t\tthis.align = o.align\r\n\t\tthis.alignOffset = this.textWidth.map(function (textWidth, i) {\r\n\t\t\tvar align = !Array.isArray(this$1.align) ? this$1.align : this$1.align.length > 1 ? this$1.align[i] : this$1.align[0]\r\n\r\n\t\t\tif (typeof align === 'number') { return align }\r\n\t\t\tswitch (align) {\r\n\t\t\t\tcase 'right':\r\n\t\t\t\tcase 'end':\r\n\t\t\t\t\treturn -textWidth\r\n\t\t\t\tcase 'center':\r\n\t\t\t\tcase 'centre':\r\n\t\t\t\tcase 'middle':\r\n\t\t\t\t\treturn -textWidth * .5\r\n\t\t\t}\r\n\r\n\t\t\treturn 0\r\n\t\t})\r\n\t}\r\n\r\n\tif (this.baseline == null && o.baseline == null) {\r\n\t\to.baseline = 0\r\n\t}\r\n\tif (o.baseline != null) {\r\n\t\tthis.baseline = o.baseline\r\n\t\tif (!Array.isArray(this.baseline)) { this.baseline = [this.baseline] }\r\n\t\tthis.baselineOffset = this.baseline.map(function (baseline, i) {\r\n\t\t\tvar m = (this$1.font[i] || this$1.font[0]).metrics\r\n\t\t\tvar base = 0\r\n\r\n\t\t\tbase += m.bottom * .5\r\n\r\n\t\t\tif (typeof baseline === 'number') {\r\n\t\t\t\tbase += (baseline - m.baseline)\r\n\t\t\t}\r\n\t\t\telse {\r\n\t\t\t\tbase += -m[baseline]\r\n\t\t\t}\r\n\r\n\t\t\tif (!GlText.normalViewport) { base *= -1 }\r\n\t\t\treturn base\r\n\t\t})\r\n\t}\r\n\r\n\t// flatten colors to a single uint8 array\r\n\tif (o.color != null) {\r\n\t\tif (!o.color) { o.color = 'transparent' }\r\n\r\n\t\t// single color\r\n\t\tif (typeof o.color === 'string' || !isNaN(o.color)) {\r\n\t\t\tthis.color = rgba(o.color, 'uint8')\r\n\t\t}\r\n\t\t// array\r\n\t\telse {\r\n\t\t\tvar colorData\r\n\r\n\t\t\t// flat array\r\n\t\t\tif (typeof o.color[0] === 'number' && o.color.length > this.counts.length) {\r\n\t\t\t\tvar l = o.color.length\r\n\t\t\t\tcolorData = pool.mallocUint8(l)\r\n\t\t\t\tvar sub = (o.color.subarray || o.color.slice).bind(o.color)\r\n\t\t\t\tfor (var i$4 = 0; i$4 < l; i$4 += 4) {\r\n\t\t\t\t\tcolorData.set(rgba(sub(i$4, i$4 + 4), 'uint8'), i$4)\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\t// nested array\r\n\t\t\telse {\r\n\t\t\t\tvar l$1 = o.color.length\r\n\t\t\t\tcolorData = pool.mallocUint8(l$1 * 4)\r\n\t\t\t\tfor (var i$5 = 0; i$5 < l$1; i$5++) {\r\n\t\t\t\t\tcolorData.set(rgba(o.color[i$5] || 0, 'uint8'), i$5 * 4)\r\n\t\t\t\t}\r\n\t\t\t}\r\n\r\n\t\t\tthis.color = colorData\r\n\t\t}\r\n\t}\r\n\r\n\t// update render batch\r\n\tif (o.position || o.text || o.color || o.baseline || o.align || o.font || o.offset || o.opacity) {\r\n\t\tvar isBatch = (this.color.length > 4)\r\n\t\t\t|| (this.baselineOffset.length > 1)\r\n\t\t\t|| (this.align && this.align.length > 1)\r\n\t\t\t|| (this.fontAtlas.length > 1)\r\n\t\t\t|| (this.positionOffset.length > 2)\r\n\t\tif (isBatch) {\r\n\t\t\tvar length = Math.max(\r\n\t\t\t\tthis.position.length * .5 || 0,\r\n\t\t\t\tthis.color.length * .25 || 0,\r\n\t\t\t\tthis.baselineOffset.length || 0,\r\n\t\t\t\tthis.alignOffset.length || 0,\r\n\t\t\t\tthis.font.length || 0,\r\n\t\t\t\tthis.opacity.length || 0,\r\n\t\t\t\tthis.positionOffset.length * .5 || 0\r\n\t\t\t)\r\n\t\t\tthis.batch = Array(length)\r\n\t\t\tfor (var i$6 = 0; i$6 < this.batch.length; i$6++) {\r\n\t\t\t\tthis$1.batch[i$6] = {\r\n\t\t\t\t\tcount: this$1.counts.length > 1 ? this$1.counts[i$6] : this$1.counts[0],\r\n\t\t\t\t\toffset: this$1.textOffsets.length > 1 ? this$1.textOffsets[i$6] : this$1.textOffsets[0],\r\n\t\t\t\t\tcolor: !this$1.color ? [0,0,0,255] : this$1.color.length <= 4 ? this$1.color : this$1.color.subarray(i$6 * 4, i$6 * 4 + 4),\r\n\t\t\t\t\topacity: Array.isArray(this$1.opacity) ? this$1.opacity[i$6] : this$1.opacity,\r\n\t\t\t\t\tbaseline: this$1.baselineOffset[i$6] != null ? this$1.baselineOffset[i$6] : this$1.baselineOffset[0],\r\n\t\t\t\t\talign: !this$1.align ? 0 : this$1.alignOffset[i$6] != null ? this$1.alignOffset[i$6] : this$1.alignOffset[0],\r\n\t\t\t\t\tatlas: this$1.fontAtlas[i$6] || this$1.fontAtlas[0],\r\n\t\t\t\t\tpositionOffset: this$1.positionOffset.length > 2 ? this$1.positionOffset.subarray(i$6 * 2, i$6 * 2 + 2) : this$1.positionOffset\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t// single-color, single-baseline, single-align batch is faster to render\r\n\t\telse {\r\n\t\t\tif (this.count) {\r\n\t\t\t\tthis.batch = [{\r\n\t\t\t\t\tcount: this.count,\r\n\t\t\t\t\toffset: 0,\r\n\t\t\t\t\tcolor: this.color || [0,0,0,255],\r\n\t\t\t\t\topacity: Array.isArray(this.opacity) ? this.opacity[0] : this.opacity,\r\n\t\t\t\t\tbaseline: this.baselineOffset[0],\r\n\t\t\t\t\talign: this.alignOffset ? this.alignOffset[0] : 0,\r\n\t\t\t\t\tatlas: this.fontAtlas[0],\r\n\t\t\t\t\tpositionOffset: this.positionOffset\r\n\t\t\t\t}]\r\n\t\t\t}\r\n\t\t\telse {\r\n\t\t\t\tthis.batch = []\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n};\r\n\r\nGlText.prototype.destroy = function destroy () {\r\n\t// TODO: count instances of atlases and destroy all on null\r\n};\r\n\r\n\r\n// defaults\r\nGlText.prototype.kerning = true\r\nGlText.prototype.position = { constant: new Float32Array(2) }\r\nGlText.prototype.translate = null\r\nGlText.prototype.scale = null\r\nGlText.prototype.font = null\r\nGlText.prototype.text = ''\r\nGlText.prototype.positionOffset = [0, 0]\r\nGlText.prototype.opacity = 1\r\nGlText.prototype.color = new Uint8Array([0, 0, 0, 255])\r\nGlText.prototype.alignOffset = [0, 0]\r\n\r\n\r\n// whether viewport should be top↓bottom 2d one (true) or webgl one (false)\r\nGlText.normalViewport = false\r\n\r\n// size of an atlas\r\nGlText.maxAtlasSize = 1024\r\n\r\n// font atlas canvas is singleton\r\nGlText.atlasCanvas = document.createElement('canvas')\r\nGlText.atlasContext = GlText.atlasCanvas.getContext('2d', {alpha: false})\r\n\r\n// font-size used for metrics, atlas step calculation\r\nGlText.baseFontSize = 64\r\n\r\n// fonts storage\r\nGlText.fonts = {}\r\n\r\n// max number of different font atlases/textures cached\r\n// FIXME: enable atlas size limitation via LRU\r\n// GlText.atlasCacheSize = 64\r\n\r\nfunction isRegl (o) {\r\n\treturn typeof o === 'function' &&\r\n\to._gl &&\r\n\to.prop &&\r\n\to.texture &&\r\n\to.buffer\r\n}\r\n\r\n\r\nmodule.exports = GlText\r\n\n\n},{\"bit-twiddle\":80,\"color-normalize\":108,\"css-font\":127,\"detect-kerning\":151,\"es6-weak-map\":209,\"flatten-vertex-data\":216,\"font-atlas\":217,\"font-measure\":218,\"gl-util/context\":306,\"is-plain-obj\":405,\"object-assign\":437,\"parse-rect\":442,\"parse-unit\":444,\"pick-by-alias\":448,\"regl\":478,\"to-px\":516,\"typedarray-pool\":522}],305:[function(_dereq_,module,exports){\n'use strict'\n\nvar ndarray = _dereq_('ndarray')\nvar ops     = _dereq_('ndarray-ops')\nvar pool    = _dereq_('typedarray-pool')\n\nmodule.exports = createTexture2D\n\nvar linearTypes = null\nvar filterTypes = null\nvar wrapTypes   = null\n\nfunction lazyInitLinearTypes(gl) {\n  linearTypes = [\n    gl.LINEAR,\n    gl.NEAREST_MIPMAP_LINEAR,\n    gl.LINEAR_MIPMAP_NEAREST,\n    gl.LINEAR_MIPMAP_NEAREST\n  ]\n  filterTypes = [\n    gl.NEAREST,\n    gl.LINEAR,\n    gl.NEAREST_MIPMAP_NEAREST,\n    gl.NEAREST_MIPMAP_LINEAR,\n    gl.LINEAR_MIPMAP_NEAREST,\n    gl.LINEAR_MIPMAP_LINEAR\n  ]\n  wrapTypes = [\n    gl.REPEAT,\n    gl.CLAMP_TO_EDGE,\n    gl.MIRRORED_REPEAT\n  ]\n}\n\nfunction acceptTextureDOM (obj) {\n  return (\n    ('undefined' != typeof HTMLCanvasElement && obj instanceof HTMLCanvasElement) ||\n    ('undefined' != typeof HTMLImageElement && obj instanceof HTMLImageElement) ||\n    ('undefined' != typeof HTMLVideoElement && obj instanceof HTMLVideoElement) ||\n    ('undefined' != typeof ImageData && obj instanceof ImageData))\n}\n\nvar convertFloatToUint8 = function(out, inp) {\n  ops.muls(out, inp, 255.0)\n}\n\nfunction reshapeTexture(tex, w, h) {\n  var gl = tex.gl\n  var maxSize = gl.getParameter(gl.MAX_TEXTURE_SIZE)\n  if(w < 0 || w > maxSize || h < 0 || h > maxSize) {\n    throw new Error('gl-texture2d: Invalid texture size')\n  }\n  tex._shape = [w, h]\n  tex.bind()\n  gl.texImage2D(gl.TEXTURE_2D, 0, tex.format, w, h, 0, tex.format, tex.type, null)\n  tex._mipLevels = [0]\n  return tex\n}\n\nfunction Texture2D(gl, handle, width, height, format, type) {\n  this.gl = gl\n  this.handle = handle\n  this.format = format\n  this.type = type\n  this._shape = [width, height]\n  this._mipLevels = [0]\n  this._magFilter = gl.NEAREST\n  this._minFilter = gl.NEAREST\n  this._wrapS = gl.CLAMP_TO_EDGE\n  this._wrapT = gl.CLAMP_TO_EDGE\n  this._anisoSamples = 1\n\n  var parent = this\n  var wrapVector = [this._wrapS, this._wrapT]\n  Object.defineProperties(wrapVector, [\n    {\n      get: function() {\n        return parent._wrapS\n      },\n      set: function(v) {\n        return parent.wrapS = v\n      }\n    },\n    {\n      get: function() {\n        return parent._wrapT\n      },\n      set: function(v) {\n        return parent.wrapT = v\n      }\n    }\n  ])\n  this._wrapVector = wrapVector\n\n  var shapeVector = [this._shape[0], this._shape[1]]\n  Object.defineProperties(shapeVector, [\n    {\n      get: function() {\n        return parent._shape[0]\n      },\n      set: function(v) {\n        return parent.width = v\n      }\n    },\n    {\n      get: function() {\n        return parent._shape[1]\n      },\n      set: function(v) {\n        return parent.height = v\n      }\n    }\n  ])\n  this._shapeVector = shapeVector\n}\n\nvar proto = Texture2D.prototype\n\nObject.defineProperties(proto, {\n  minFilter: {\n    get: function() {\n      return this._minFilter\n    },\n    set: function(v) {\n      this.bind()\n      var gl = this.gl\n      if(this.type === gl.FLOAT && linearTypes.indexOf(v) >= 0) {\n        if(!gl.getExtension('OES_texture_float_linear')) {\n          v = gl.NEAREST\n        }\n      }\n      if(filterTypes.indexOf(v) < 0) {\n        throw new Error('gl-texture2d: Unknown filter mode ' + v)\n      }\n      gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, v)\n      return this._minFilter = v\n    }\n  },\n  magFilter: {\n    get: function() {\n      return this._magFilter\n    },\n    set: function(v) {\n      this.bind()\n      var gl = this.gl\n      if(this.type === gl.FLOAT && linearTypes.indexOf(v) >= 0) {\n        if(!gl.getExtension('OES_texture_float_linear')) {\n          v = gl.NEAREST\n        }\n      }\n      if(filterTypes.indexOf(v) < 0) {\n        throw new Error('gl-texture2d: Unknown filter mode ' + v)\n      }\n      gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, v)\n      return this._magFilter = v\n    }\n  },\n  mipSamples: {\n    get: function() {\n      return this._anisoSamples\n    },\n    set: function(i) {\n      var psamples = this._anisoSamples\n      this._anisoSamples = Math.max(i, 1)|0\n      if(psamples !== this._anisoSamples) {\n        var ext = this.gl.getExtension('EXT_texture_filter_anisotropic')\n        if(ext) {\n          this.gl.texParameterf(this.gl.TEXTURE_2D, ext.TEXTURE_MAX_ANISOTROPY_EXT, this._anisoSamples)\n        }\n      }\n      return this._anisoSamples\n    }\n  },\n  wrapS: {\n    get: function() {\n      return this._wrapS\n    },\n    set: function(v) {\n      this.bind()\n      if(wrapTypes.indexOf(v) < 0) {\n        throw new Error('gl-texture2d: Unknown wrap mode ' + v)\n      }\n      this.gl.texParameteri(this.gl.TEXTURE_2D, this.gl.TEXTURE_WRAP_S, v)\n      return this._wrapS = v\n    }\n  },\n  wrapT: {\n    get: function() {\n      return this._wrapT\n    },\n    set: function(v) {\n      this.bind()\n      if(wrapTypes.indexOf(v) < 0) {\n        throw new Error('gl-texture2d: Unknown wrap mode ' + v)\n      }\n      this.gl.texParameteri(this.gl.TEXTURE_2D, this.gl.TEXTURE_WRAP_T, v)\n      return this._wrapT = v\n    }\n  },\n  wrap: {\n    get: function() {\n      return this._wrapVector\n    },\n    set: function(v) {\n      if(!Array.isArray(v)) {\n        v = [v,v]\n      }\n      if(v.length !== 2) {\n        throw new Error('gl-texture2d: Must specify wrap mode for rows and columns')\n      }\n      for(var i=0; i<2; ++i) {\n        if(wrapTypes.indexOf(v[i]) < 0) {\n          throw new Error('gl-texture2d: Unknown wrap mode ' + v)\n        }\n      }\n      this._wrapS = v[0]\n      this._wrapT = v[1]\n\n      var gl = this.gl\n      this.bind()\n      gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, this._wrapS)\n      gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, this._wrapT)\n\n      return v\n    }\n  },\n  shape: {\n    get: function() {\n      return this._shapeVector\n    },\n    set: function(x) {\n      if(!Array.isArray(x)) {\n        x = [x|0,x|0]\n      } else {\n        if(x.length !== 2) {\n          throw new Error('gl-texture2d: Invalid texture shape')\n        }\n      }\n      reshapeTexture(this, x[0]|0, x[1]|0)\n      return [x[0]|0, x[1]|0]\n    }\n  },\n  width: {\n    get: function() {\n      return this._shape[0]\n    },\n    set: function(w) {\n      w = w|0\n      reshapeTexture(this, w, this._shape[1])\n      return w\n    }\n  },\n  height: {\n    get: function() {\n      return this._shape[1]\n    },\n    set: function(h) {\n      h = h|0\n      reshapeTexture(this, this._shape[0], h)\n      return h\n    }\n  }\n})\n\nproto.bind = function(unit) {\n  var gl = this.gl\n  if(unit !== undefined) {\n    gl.activeTexture(gl.TEXTURE0 + (unit|0))\n  }\n  gl.bindTexture(gl.TEXTURE_2D, this.handle)\n  if(unit !== undefined) {\n    return (unit|0)\n  }\n  return gl.getParameter(gl.ACTIVE_TEXTURE) - gl.TEXTURE0\n}\n\nproto.dispose = function() {\n  this.gl.deleteTexture(this.handle)\n}\n\nproto.generateMipmap = function() {\n  this.bind()\n  this.gl.generateMipmap(this.gl.TEXTURE_2D)\n\n  //Update mip levels\n  var l = Math.min(this._shape[0], this._shape[1])\n  for(var i=0; l>0; ++i, l>>>=1) {\n    if(this._mipLevels.indexOf(i) < 0) {\n      this._mipLevels.push(i)\n    }\n  }\n}\n\nproto.setPixels = function(data, x_off, y_off, mip_level) {\n  var gl = this.gl\n  this.bind()\n  if(Array.isArray(x_off)) {\n    mip_level = y_off\n    y_off = x_off[1]|0\n    x_off = x_off[0]|0\n  } else {\n    x_off = x_off || 0\n    y_off = y_off || 0\n  }\n  mip_level = mip_level || 0\n  var directData = acceptTextureDOM(data) ? data : data.raw\n  if(directData) {\n    var needsMip = this._mipLevels.indexOf(mip_level) < 0\n    if(needsMip) {\n      gl.texImage2D(gl.TEXTURE_2D, 0, this.format, this.format, this.type, directData)\n      this._mipLevels.push(mip_level)\n    } else {\n      gl.texSubImage2D(gl.TEXTURE_2D, mip_level, x_off, y_off, this.format, this.type, directData)\n    }\n  } else if(data.shape && data.stride && data.data) {\n    if(data.shape.length < 2 ||\n       x_off + data.shape[1] > this._shape[1]>>>mip_level ||\n       y_off + data.shape[0] > this._shape[0]>>>mip_level ||\n       x_off < 0 ||\n       y_off < 0) {\n      throw new Error('gl-texture2d: Texture dimensions are out of bounds')\n    }\n    texSubImageArray(gl, x_off, y_off, mip_level, this.format, this.type, this._mipLevels, data)\n  } else {\n    throw new Error('gl-texture2d: Unsupported data type')\n  }\n}\n\n\nfunction isPacked(shape, stride) {\n  if(shape.length === 3) {\n    return  (stride[2] === 1) &&\n            (stride[1] === shape[0]*shape[2]) &&\n            (stride[0] === shape[2])\n  }\n  return  (stride[0] === 1) &&\n          (stride[1] === shape[0])\n}\n\nfunction texSubImageArray(gl, x_off, y_off, mip_level, cformat, ctype, mipLevels, array) {\n  var dtype = array.dtype\n  var shape = array.shape.slice()\n  if(shape.length < 2 || shape.length > 3) {\n    throw new Error('gl-texture2d: Invalid ndarray, must be 2d or 3d')\n  }\n  var type = 0, format = 0\n  var packed = isPacked(shape, array.stride.slice())\n  if(dtype === 'float32') {\n    type = gl.FLOAT\n  } else if(dtype === 'float64') {\n    type = gl.FLOAT\n    packed = false\n    dtype = 'float32'\n  } else if(dtype === 'uint8') {\n    type = gl.UNSIGNED_BYTE\n  } else {\n    type = gl.UNSIGNED_BYTE\n    packed = false\n    dtype = 'uint8'\n  }\n  var channels = 1\n  if(shape.length === 2) {\n    format = gl.LUMINANCE\n    shape = [shape[0], shape[1], 1]\n    array = ndarray(array.data, shape, [array.stride[0], array.stride[1], 1], array.offset)\n  } else if(shape.length === 3) {\n    if(shape[2] === 1) {\n      format = gl.ALPHA\n    } else if(shape[2] === 2) {\n      format = gl.LUMINANCE_ALPHA\n    } else if(shape[2] === 3) {\n      format = gl.RGB\n    } else if(shape[2] === 4) {\n      format = gl.RGBA\n    } else {\n      throw new Error('gl-texture2d: Invalid shape for pixel coords')\n    }\n    channels = shape[2]\n  } else {\n    throw new Error('gl-texture2d: Invalid shape for texture')\n  }\n  //For 1-channel textures allow conversion between formats\n  if((format  === gl.LUMINANCE || format  === gl.ALPHA) &&\n     (cformat === gl.LUMINANCE || cformat === gl.ALPHA)) {\n    format = cformat\n  }\n  if(format !== cformat) {\n    throw new Error('gl-texture2d: Incompatible texture format for setPixels')\n  }\n  var size = array.size\n  var needsMip = mipLevels.indexOf(mip_level) < 0\n  if(needsMip) {\n    mipLevels.push(mip_level)\n  }\n  if(type === ctype && packed) {\n    //Array data types are compatible, can directly copy into texture\n    if(array.offset === 0 && array.data.length === size) {\n      if(needsMip) {\n        gl.texImage2D(gl.TEXTURE_2D, mip_level, cformat, shape[0], shape[1], 0, cformat, ctype, array.data)\n      } else {\n        gl.texSubImage2D(gl.TEXTURE_2D, mip_level, x_off, y_off, shape[0], shape[1], cformat, ctype, array.data)\n      }\n    } else {\n      if(needsMip) {\n        gl.texImage2D(gl.TEXTURE_2D, mip_level, cformat, shape[0], shape[1], 0, cformat, ctype, array.data.subarray(array.offset, array.offset+size))\n      } else {\n        gl.texSubImage2D(gl.TEXTURE_2D, mip_level, x_off, y_off, shape[0], shape[1], cformat, ctype, array.data.subarray(array.offset, array.offset+size))\n      }\n    }\n  } else {\n    //Need to do type conversion to pack data into buffer\n    var pack_buffer\n    if(ctype === gl.FLOAT) {\n      pack_buffer = pool.mallocFloat32(size)\n    } else {\n      pack_buffer = pool.mallocUint8(size)\n    }\n    var pack_view = ndarray(pack_buffer, shape, [shape[2], shape[2]*shape[0], 1])\n    if(type === gl.FLOAT && ctype === gl.UNSIGNED_BYTE) {\n      convertFloatToUint8(pack_view, array)\n    } else {\n      ops.assign(pack_view, array)\n    }\n    if(needsMip) {\n      gl.texImage2D(gl.TEXTURE_2D, mip_level, cformat, shape[0], shape[1], 0, cformat, ctype, pack_buffer.subarray(0, size))\n    } else {\n      gl.texSubImage2D(gl.TEXTURE_2D, mip_level, x_off, y_off, shape[0], shape[1], cformat, ctype, pack_buffer.subarray(0, size))\n    }\n    if(ctype === gl.FLOAT) {\n      pool.freeFloat32(pack_buffer)\n    } else {\n      pool.freeUint8(pack_buffer)\n    }\n  }\n}\n\nfunction initTexture(gl) {\n  var tex = gl.createTexture()\n  gl.bindTexture(gl.TEXTURE_2D, tex)\n  gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST)\n  gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST)\n  gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE)\n  gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE)\n  return tex\n}\n\nfunction createTextureShape(gl, width, height, format, type) {\n  var maxTextureSize = gl.getParameter(gl.MAX_TEXTURE_SIZE)\n  if(width < 0 || width > maxTextureSize || height < 0 || height  > maxTextureSize) {\n    throw new Error('gl-texture2d: Invalid texture shape')\n  }\n  if(type === gl.FLOAT && !gl.getExtension('OES_texture_float')) {\n    throw new Error('gl-texture2d: Floating point textures not supported on this platform')\n  }\n  var tex = initTexture(gl)\n  gl.texImage2D(gl.TEXTURE_2D, 0, format, width, height, 0, format, type, null)\n  return new Texture2D(gl, tex, width, height, format, type)\n}\n\nfunction createTextureDOM(gl, directData, width, height, format, type) {\n  var tex = initTexture(gl)\n  gl.texImage2D(gl.TEXTURE_2D, 0, format, format, type, directData)\n  return new Texture2D(gl, tex, width, height, format, type)\n}\n\n//Creates a texture from an ndarray\nfunction createTextureArray(gl, array) {\n  var dtype = array.dtype\n  var shape = array.shape.slice()\n  var maxSize = gl.getParameter(gl.MAX_TEXTURE_SIZE)\n  if(shape[0] < 0 || shape[0] > maxSize || shape[1] < 0 || shape[1] > maxSize) {\n    throw new Error('gl-texture2d: Invalid texture size')\n  }\n  var packed = isPacked(shape, array.stride.slice())\n  var type = 0\n  if(dtype === 'float32') {\n    type = gl.FLOAT\n  } else if(dtype === 'float64') {\n    type = gl.FLOAT\n    packed = false\n    dtype = 'float32'\n  } else if(dtype === 'uint8') {\n    type = gl.UNSIGNED_BYTE\n  } else {\n    type = gl.UNSIGNED_BYTE\n    packed = false\n    dtype = 'uint8'\n  }\n  var format = 0\n  if(shape.length === 2) {\n    format = gl.LUMINANCE\n    shape = [shape[0], shape[1], 1]\n    array = ndarray(array.data, shape, [array.stride[0], array.stride[1], 1], array.offset)\n  } else if(shape.length === 3) {\n    if(shape[2] === 1) {\n      format = gl.ALPHA\n    } else if(shape[2] === 2) {\n      format = gl.LUMINANCE_ALPHA\n    } else if(shape[2] === 3) {\n      format = gl.RGB\n    } else if(shape[2] === 4) {\n      format = gl.RGBA\n    } else {\n      throw new Error('gl-texture2d: Invalid shape for pixel coords')\n    }\n  } else {\n    throw new Error('gl-texture2d: Invalid shape for texture')\n  }\n  if(type === gl.FLOAT && !gl.getExtension('OES_texture_float')) {\n    type = gl.UNSIGNED_BYTE\n    packed = false\n  }\n  var buffer, buf_store\n  var size = array.size\n  if(!packed) {\n    var stride = [shape[2], shape[2]*shape[0], 1]\n    buf_store = pool.malloc(size, dtype)\n    var buf_array = ndarray(buf_store, shape, stride, 0)\n    if((dtype === 'float32' || dtype === 'float64') && type === gl.UNSIGNED_BYTE) {\n      convertFloatToUint8(buf_array, array)\n    } else {\n      ops.assign(buf_array, array)\n    }\n    buffer = buf_store.subarray(0, size)\n  } else if (array.offset === 0 && array.data.length === size) {\n    buffer = array.data\n  } else {\n    buffer = array.data.subarray(array.offset, array.offset + size)\n  }\n  var tex = initTexture(gl)\n  gl.texImage2D(gl.TEXTURE_2D, 0, format, shape[0], shape[1], 0, format, type, buffer)\n  if(!packed) {\n    pool.free(buf_store)\n  }\n  return new Texture2D(gl, tex, shape[0], shape[1], format, type)\n}\n\nfunction createTexture2D(gl) {\n  if(arguments.length <= 1) {\n    throw new Error('gl-texture2d: Missing arguments for texture2d constructor')\n  }\n  if(!linearTypes) {\n    lazyInitLinearTypes(gl)\n  }\n  if(typeof arguments[1] === 'number') {\n    return createTextureShape(gl, arguments[1], arguments[2], arguments[3]||gl.RGBA, arguments[4]||gl.UNSIGNED_BYTE)\n  }\n  if(Array.isArray(arguments[1])) {\n    return createTextureShape(gl, arguments[1][0]|0, arguments[1][1]|0, arguments[2]||gl.RGBA, arguments[3]||gl.UNSIGNED_BYTE)\n  }\n  if(typeof arguments[1] === 'object') {\n    var obj = arguments[1]\n    var directData = acceptTextureDOM(obj) ? obj : obj.raw\n    if (directData) {\n      return createTextureDOM(gl, directData, obj.width|0, obj.height|0, arguments[2]||gl.RGBA, arguments[3]||gl.UNSIGNED_BYTE)\n    } else if(obj.shape && obj.data && obj.stride) {\n      return createTextureArray(gl, obj)\n    }\n  }\n  throw new Error('gl-texture2d: Invalid arguments for texture2d constructor')\n}\n\n},{\"ndarray\":433,\"ndarray-ops\":427,\"typedarray-pool\":522}],306:[function(_dereq_,module,exports){\n/** @module  gl-util/context */\r\n'use strict'\r\n\r\nvar pick = _dereq_('pick-by-alias')\r\n\r\nmodule.exports = function setContext (o) {\r\n\tif (!o) o = {}\r\n\telse if (typeof o === 'string') o = {container: o}\r\n\r\n\t// HTMLCanvasElement\r\n\tif (isCanvas(o)) {\r\n\t\to = {container: o}\r\n\t}\r\n\t// HTMLElement\r\n\telse if (isElement(o)) {\r\n\t\to = {container: o}\r\n\t}\r\n\t// WebGLContext\r\n\telse if (isContext(o)) {\r\n\t\to = {gl: o}\r\n\t}\r\n\t// options object\r\n\telse {\r\n\t\to = pick(o, {\r\n\t\t\tcontainer: 'container target element el canvas holder parent parentNode wrapper use ref root node',\r\n\t\t\tgl: 'gl context webgl glContext',\r\n\t\t\tattrs: 'attributes attrs contextAttributes',\r\n\t\t\tpixelRatio: 'pixelRatio pxRatio px ratio pxratio pixelratio'\r\n\t\t}, true)\r\n\t}\r\n\r\n\tif (!o.pixelRatio) o.pixelRatio = window.pixelRatio || 1\r\n\r\n\t// make sure there is container and canvas\r\n\tif (o.gl) {\r\n\t\treturn o.gl\r\n\t}\r\n\tif (o.canvas) {\r\n\t\to.container = o.canvas.parentNode\r\n\t}\r\n\tif (o.container) {\r\n\t\tif (typeof o.container === 'string') {\r\n\t\t\tvar c = document.querySelector(o.container)\r\n\t\t\tif (!c) throw Error('Element ' + o.container + ' is not found')\r\n\t\t\to.container = c\r\n\t\t}\r\n\t\tif (isCanvas(o.container)) {\r\n\t\t\to.canvas = o.container\r\n\t\t\to.container = o.canvas.parentNode\r\n\t\t}\r\n\t\telse if (!o.canvas) {\r\n\t\t\to.canvas = document.createElement('canvas')\r\n\t\t\to.container.appendChild(o.canvas)\r\n\t\t\tresize(o)\r\n\t\t}\r\n\t}\r\n\t// blank new canvas\r\n\telse if (!o.canvas) {\r\n\t\to.container = document.body || document.documentElement\r\n\t\to.canvas = document.createElement('canvas')\r\n\t\to.canvas.style.position = 'absolute'\r\n\t\to.canvas.style.top = 0\r\n\t\to.canvas.style.left = 0\r\n\t\to.container.appendChild(o.canvas)\r\n\t\tresize(o)\r\n\t}\r\n\r\n\t// make sure there is context\r\n\tif (!o.gl) {\r\n\t\ttry {\r\n\t\t\to.gl = o.canvas.getContext('webgl', o.attrs)\r\n\t\t} catch (e) {\r\n\t\t\ttry {\r\n\t\t\t\to.gl = o.canvas.getContext('experimental-webgl', o.attrs)\r\n\t\t\t}\r\n\t\t\tcatch (e) {\r\n\t\t\t\to.gl = o.canvas.getContext('webgl-experimental', o.attrs)\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n\r\n\treturn o.gl\r\n}\r\n\r\n\r\nfunction resize (o) {\r\n\tif (o.container) {\r\n\t\tif (o.container == document.body) {\r\n\t\t\tif (!document.body.style.width) o.canvas.width = o.width || (o.pixelRatio * window.innerWidth)\r\n\t\t\tif (!document.body.style.height) o.canvas.height = o.height || (o.pixelRatio * window.innerHeight)\r\n\t\t}\r\n\t\telse {\r\n\t\t\tvar bounds = o.container.getBoundingClientRect()\r\n\t\t\to.canvas.width = o.width || (bounds.right - bounds.left)\r\n\t\t\to.canvas.height = o.height || (bounds.bottom - bounds.top)\r\n\t\t}\r\n\t}\r\n}\r\n\r\nfunction isCanvas (e) {\r\n\treturn typeof e.getContext === 'function'\r\n\t\t&& 'width' in e\r\n\t\t&& 'height' in e\r\n}\r\n\r\nfunction isElement (e) {\r\n\treturn typeof e.nodeName === 'string' &&\r\n\t\ttypeof e.appendChild === 'function' &&\r\n\t\ttypeof e.getBoundingClientRect === 'function'\r\n}\r\n\r\nfunction isContext (e) {\r\n\treturn typeof e.drawArrays === 'function' ||\r\n\t\ttypeof e.drawElements === 'function'\r\n}\r\n\n},{\"pick-by-alias\":448}],307:[function(_dereq_,module,exports){\n\"use strict\"\n\nfunction doBind(gl, elements, attributes) {\n  if(elements) {\n    elements.bind()\n  } else {\n    gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, null)\n  }\n  var nattribs = gl.getParameter(gl.MAX_VERTEX_ATTRIBS)|0\n  if(attributes) {\n    if(attributes.length > nattribs) {\n      throw new Error(\"gl-vao: Too many vertex attributes\")\n    }\n    for(var i=0; i<attributes.length; ++i) {\n      var attrib = attributes[i]\n      if(attrib.buffer) {\n        var buffer = attrib.buffer\n        var size = attrib.size || 4\n        var type = attrib.type || gl.FLOAT\n        var normalized = !!attrib.normalized\n        var stride = attrib.stride || 0\n        var offset = attrib.offset || 0\n        buffer.bind()\n        gl.enableVertexAttribArray(i)\n        gl.vertexAttribPointer(i, size, type, normalized, stride, offset)\n      } else {\n        if(typeof attrib === \"number\") {\n          gl.vertexAttrib1f(i, attrib)\n        } else if(attrib.length === 1) {\n          gl.vertexAttrib1f(i, attrib[0])\n        } else if(attrib.length === 2) {\n          gl.vertexAttrib2f(i, attrib[0], attrib[1])\n        } else if(attrib.length === 3) {\n          gl.vertexAttrib3f(i, attrib[0], attrib[1], attrib[2])\n        } else if(attrib.length === 4) {\n          gl.vertexAttrib4f(i, attrib[0], attrib[1], attrib[2], attrib[3])\n        } else {\n          throw new Error(\"gl-vao: Invalid vertex attribute\")\n        }\n        gl.disableVertexAttribArray(i)\n      }\n    }\n    for(; i<nattribs; ++i) {\n      gl.disableVertexAttribArray(i)\n    }\n  } else {\n    gl.bindBuffer(gl.ARRAY_BUFFER, null)\n    for(var i=0; i<nattribs; ++i) {\n      gl.disableVertexAttribArray(i)\n    }\n  }\n}\n\nmodule.exports = doBind\n},{}],308:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar bindAttribs = _dereq_(\"./do-bind.js\")\n\nfunction VAOEmulated(gl) {\n  this.gl = gl\n  this._elements = null\n  this._attributes = null\n  this._elementsType = gl.UNSIGNED_SHORT\n}\n\nVAOEmulated.prototype.bind = function() {\n  bindAttribs(this.gl, this._elements, this._attributes)\n}\n\nVAOEmulated.prototype.update = function(attributes, elements, elementsType) {\n  this._elements = elements\n  this._attributes = attributes\n  this._elementsType = elementsType || this.gl.UNSIGNED_SHORT\n}\n\nVAOEmulated.prototype.dispose = function() { }\nVAOEmulated.prototype.unbind = function() { }\n\nVAOEmulated.prototype.draw = function(mode, count, offset) {\n  offset = offset || 0\n  var gl = this.gl\n  if(this._elements) {\n    gl.drawElements(mode, count, this._elementsType, offset)\n  } else {\n    gl.drawArrays(mode, offset, count)\n  }\n}\n\nfunction createVAOEmulated(gl) {\n  return new VAOEmulated(gl)\n}\n\nmodule.exports = createVAOEmulated\n},{\"./do-bind.js\":307}],309:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar bindAttribs = _dereq_(\"./do-bind.js\")\n\nfunction VertexAttribute(location, dimension, a, b, c, d) {\n  this.location = location\n  this.dimension = dimension\n  this.a = a\n  this.b = b\n  this.c = c\n  this.d = d\n}\n\nVertexAttribute.prototype.bind = function(gl) {\n  switch(this.dimension) {\n    case 1:\n      gl.vertexAttrib1f(this.location, this.a)\n    break\n    case 2:\n      gl.vertexAttrib2f(this.location, this.a, this.b)\n    break\n    case 3:\n      gl.vertexAttrib3f(this.location, this.a, this.b, this.c)\n    break\n    case 4:\n      gl.vertexAttrib4f(this.location, this.a, this.b, this.c, this.d)\n    break\n  }\n}\n\nfunction VAONative(gl, ext, handle) {\n  this.gl = gl\n  this._ext = ext\n  this.handle = handle\n  this._attribs = []\n  this._useElements = false\n  this._elementsType = gl.UNSIGNED_SHORT\n}\n\nVAONative.prototype.bind = function() {\n  this._ext.bindVertexArrayOES(this.handle)\n  for(var i=0; i<this._attribs.length; ++i) {\n    this._attribs[i].bind(this.gl)\n  }\n}\n\nVAONative.prototype.unbind = function() {\n  this._ext.bindVertexArrayOES(null)\n}\n\nVAONative.prototype.dispose = function() {\n  this._ext.deleteVertexArrayOES(this.handle)\n}\n\nVAONative.prototype.update = function(attributes, elements, elementsType) {\n  this.bind()\n  bindAttribs(this.gl, elements, attributes)\n  this.unbind()\n  this._attribs.length = 0\n  if(attributes)\n  for(var i=0; i<attributes.length; ++i) {\n    var a = attributes[i]\n    if(typeof a === \"number\") {\n      this._attribs.push(new VertexAttribute(i, 1, a))\n    } else if(Array.isArray(a)) {\n      this._attribs.push(new VertexAttribute(i, a.length, a[0], a[1], a[2], a[3]))\n    }\n  }\n  this._useElements = !!elements\n  this._elementsType = elementsType || this.gl.UNSIGNED_SHORT\n}\n\nVAONative.prototype.draw = function(mode, count, offset) {\n  offset = offset || 0\n  var gl = this.gl\n  if(this._useElements) {\n    gl.drawElements(mode, count, this._elementsType, offset)\n  } else {\n    gl.drawArrays(mode, offset, count)\n  }\n}\n\nfunction createVAONative(gl, ext) {\n  return new VAONative(gl, ext, ext.createVertexArrayOES())\n}\n\nmodule.exports = createVAONative\n},{\"./do-bind.js\":307}],310:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar createVAONative = _dereq_(\"./lib/vao-native.js\")\nvar createVAOEmulated = _dereq_(\"./lib/vao-emulated.js\")\n\nfunction ExtensionShim (gl) {\n  this.bindVertexArrayOES = gl.bindVertexArray.bind(gl)\n  this.createVertexArrayOES = gl.createVertexArray.bind(gl)\n  this.deleteVertexArrayOES = gl.deleteVertexArray.bind(gl)\n}\n\nfunction createVAO(gl, attributes, elements, elementsType) {\n  var ext = gl.createVertexArray\n    ? new ExtensionShim(gl)\n    : gl.getExtension('OES_vertex_array_object')\n  var vao\n\n  if(ext) {\n    vao = createVAONative(gl, ext)\n  } else {\n    vao = createVAOEmulated(gl)\n  }\n  vao.update(attributes, elements, elementsType)\n  return vao\n}\n\nmodule.exports = createVAO\n\n},{\"./lib/vao-emulated.js\":308,\"./lib/vao-native.js\":309}],311:[function(_dereq_,module,exports){\nmodule.exports = add;\n\n/**\n * Adds two vec3's\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @returns {vec3} out\n */\nfunction add(out, a, b) {\n    out[0] = a[0] + b[0]\n    out[1] = a[1] + b[1]\n    out[2] = a[2] + b[2]\n    return out\n}\n},{}],312:[function(_dereq_,module,exports){\nmodule.exports = angle\n\nvar fromValues = _dereq_('./fromValues')\nvar normalize = _dereq_('./normalize')\nvar dot = _dereq_('./dot')\n\n/**\n * Get the angle between two 3D vectors\n * @param {vec3} a The first operand\n * @param {vec3} b The second operand\n * @returns {Number} The angle in radians\n */\nfunction angle(a, b) {\n    var tempA = fromValues(a[0], a[1], a[2])\n    var tempB = fromValues(b[0], b[1], b[2])\n \n    normalize(tempA, tempA)\n    normalize(tempB, tempB)\n \n    var cosine = dot(tempA, tempB)\n\n    if(cosine > 1.0){\n        return 0\n    } else {\n        return Math.acos(cosine)\n    }     \n}\n\n},{\"./dot\":322,\"./fromValues\":328,\"./normalize\":339}],313:[function(_dereq_,module,exports){\nmodule.exports = ceil\n\n/**\n * Math.ceil the components of a vec3\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a vector to ceil\n * @returns {vec3} out\n */\nfunction ceil(out, a) {\n  out[0] = Math.ceil(a[0])\n  out[1] = Math.ceil(a[1])\n  out[2] = Math.ceil(a[2])\n  return out\n}\n\n},{}],314:[function(_dereq_,module,exports){\nmodule.exports = clone;\n\n/**\n * Creates a new vec3 initialized with values from an existing vector\n *\n * @param {vec3} a vector to clone\n * @returns {vec3} a new 3D vector\n */\nfunction clone(a) {\n    var out = new Float32Array(3)\n    out[0] = a[0]\n    out[1] = a[1]\n    out[2] = a[2]\n    return out\n}\n},{}],315:[function(_dereq_,module,exports){\nmodule.exports = copy;\n\n/**\n * Copy the values from one vec3 to another\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the source vector\n * @returns {vec3} out\n */\nfunction copy(out, a) {\n    out[0] = a[0]\n    out[1] = a[1]\n    out[2] = a[2]\n    return out\n}\n},{}],316:[function(_dereq_,module,exports){\nmodule.exports = create;\n\n/**\n * Creates a new, empty vec3\n *\n * @returns {vec3} a new 3D vector\n */\nfunction create() {\n    var out = new Float32Array(3)\n    out[0] = 0\n    out[1] = 0\n    out[2] = 0\n    return out\n}\n},{}],317:[function(_dereq_,module,exports){\nmodule.exports = cross;\n\n/**\n * Computes the cross product of two vec3's\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @returns {vec3} out\n */\nfunction cross(out, a, b) {\n    var ax = a[0], ay = a[1], az = a[2],\n        bx = b[0], by = b[1], bz = b[2]\n\n    out[0] = ay * bz - az * by\n    out[1] = az * bx - ax * bz\n    out[2] = ax * by - ay * bx\n    return out\n}\n},{}],318:[function(_dereq_,module,exports){\nmodule.exports = _dereq_('./distance')\n\n},{\"./distance\":319}],319:[function(_dereq_,module,exports){\nmodule.exports = distance;\n\n/**\n * Calculates the euclidian distance between two vec3's\n *\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @returns {Number} distance between a and b\n */\nfunction distance(a, b) {\n    var x = b[0] - a[0],\n        y = b[1] - a[1],\n        z = b[2] - a[2]\n    return Math.sqrt(x*x + y*y + z*z)\n}\n},{}],320:[function(_dereq_,module,exports){\nmodule.exports = _dereq_('./divide')\n\n},{\"./divide\":321}],321:[function(_dereq_,module,exports){\nmodule.exports = divide;\n\n/**\n * Divides two vec3's\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @returns {vec3} out\n */\nfunction divide(out, a, b) {\n    out[0] = a[0] / b[0]\n    out[1] = a[1] / b[1]\n    out[2] = a[2] / b[2]\n    return out\n}\n},{}],322:[function(_dereq_,module,exports){\nmodule.exports = dot;\n\n/**\n * Calculates the dot product of two vec3's\n *\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @returns {Number} dot product of a and b\n */\nfunction dot(a, b) {\n    return a[0] * b[0] + a[1] * b[1] + a[2] * b[2]\n}\n},{}],323:[function(_dereq_,module,exports){\nmodule.exports = 0.000001\n\n},{}],324:[function(_dereq_,module,exports){\nmodule.exports = equals\n\nvar EPSILON = _dereq_('./epsilon')\n\n/**\n * Returns whether or not the vectors have approximately the same elements in the same position.\n *\n * @param {vec3} a The first vector.\n * @param {vec3} b The second vector.\n * @returns {Boolean} True if the vectors are equal, false otherwise.\n */\nfunction equals(a, b) {\n  var a0 = a[0]\n  var a1 = a[1]\n  var a2 = a[2]\n  var b0 = b[0]\n  var b1 = b[1]\n  var b2 = b[2]\n  return (Math.abs(a0 - b0) <= EPSILON * Math.max(1.0, Math.abs(a0), Math.abs(b0)) &&\n          Math.abs(a1 - b1) <= EPSILON * Math.max(1.0, Math.abs(a1), Math.abs(b1)) &&\n          Math.abs(a2 - b2) <= EPSILON * Math.max(1.0, Math.abs(a2), Math.abs(b2)))\n}\n\n},{\"./epsilon\":323}],325:[function(_dereq_,module,exports){\nmodule.exports = exactEquals\n\n/**\n * Returns whether or not the vectors exactly have the same elements in the same position (when compared with ===)\n *\n * @param {vec3} a The first vector.\n * @param {vec3} b The second vector.\n * @returns {Boolean} True if the vectors are equal, false otherwise.\n */\nfunction exactEquals(a, b) {\n  return a[0] === b[0] && a[1] === b[1] && a[2] === b[2]\n}\n\n},{}],326:[function(_dereq_,module,exports){\nmodule.exports = floor\n\n/**\n * Math.floor the components of a vec3\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a vector to floor\n * @returns {vec3} out\n */\nfunction floor(out, a) {\n  out[0] = Math.floor(a[0])\n  out[1] = Math.floor(a[1])\n  out[2] = Math.floor(a[2])\n  return out\n}\n\n},{}],327:[function(_dereq_,module,exports){\nmodule.exports = forEach;\n\nvar vec = _dereq_('./create')()\n\n/**\n * Perform some operation over an array of vec3s.\n *\n * @param {Array} a the array of vectors to iterate over\n * @param {Number} stride Number of elements between the start of each vec3. If 0 assumes tightly packed\n * @param {Number} offset Number of elements to skip at the beginning of the array\n * @param {Number} count Number of vec3s to iterate over. If 0 iterates over entire array\n * @param {Function} fn Function to call for each vector in the array\n * @param {Object} [arg] additional argument to pass to fn\n * @returns {Array} a\n * @function\n */\nfunction forEach(a, stride, offset, count, fn, arg) {\n        var i, l\n        if(!stride) {\n            stride = 3\n        }\n\n        if(!offset) {\n            offset = 0\n        }\n        \n        if(count) {\n            l = Math.min((count * stride) + offset, a.length)\n        } else {\n            l = a.length\n        }\n\n        for(i = offset; i < l; i += stride) {\n            vec[0] = a[i] \n            vec[1] = a[i+1] \n            vec[2] = a[i+2]\n            fn(vec, vec, arg)\n            a[i] = vec[0] \n            a[i+1] = vec[1] \n            a[i+2] = vec[2]\n        }\n        \n        return a\n}\n},{\"./create\":316}],328:[function(_dereq_,module,exports){\nmodule.exports = fromValues;\n\n/**\n * Creates a new vec3 initialized with the given values\n *\n * @param {Number} x X component\n * @param {Number} y Y component\n * @param {Number} z Z component\n * @returns {vec3} a new 3D vector\n */\nfunction fromValues(x, y, z) {\n    var out = new Float32Array(3)\n    out[0] = x\n    out[1] = y\n    out[2] = z\n    return out\n}\n},{}],329:[function(_dereq_,module,exports){\nmodule.exports = {\n  EPSILON: _dereq_('./epsilon')\n  , create: _dereq_('./create')\n  , clone: _dereq_('./clone')\n  , angle: _dereq_('./angle')\n  , fromValues: _dereq_('./fromValues')\n  , copy: _dereq_('./copy')\n  , set: _dereq_('./set')\n  , equals: _dereq_('./equals')\n  , exactEquals: _dereq_('./exactEquals')\n  , add: _dereq_('./add')\n  , subtract: _dereq_('./subtract')\n  , sub: _dereq_('./sub')\n  , multiply: _dereq_('./multiply')\n  , mul: _dereq_('./mul')\n  , divide: _dereq_('./divide')\n  , div: _dereq_('./div')\n  , min: _dereq_('./min')\n  , max: _dereq_('./max')\n  , floor: _dereq_('./floor')\n  , ceil: _dereq_('./ceil')\n  , round: _dereq_('./round')\n  , scale: _dereq_('./scale')\n  , scaleAndAdd: _dereq_('./scaleAndAdd')\n  , distance: _dereq_('./distance')\n  , dist: _dereq_('./dist')\n  , squaredDistance: _dereq_('./squaredDistance')\n  , sqrDist: _dereq_('./sqrDist')\n  , length: _dereq_('./length')\n  , len: _dereq_('./len')\n  , squaredLength: _dereq_('./squaredLength')\n  , sqrLen: _dereq_('./sqrLen')\n  , negate: _dereq_('./negate')\n  , inverse: _dereq_('./inverse')\n  , normalize: _dereq_('./normalize')\n  , dot: _dereq_('./dot')\n  , cross: _dereq_('./cross')\n  , lerp: _dereq_('./lerp')\n  , random: _dereq_('./random')\n  , transformMat4: _dereq_('./transformMat4')\n  , transformMat3: _dereq_('./transformMat3')\n  , transformQuat: _dereq_('./transformQuat')\n  , rotateX: _dereq_('./rotateX')\n  , rotateY: _dereq_('./rotateY')\n  , rotateZ: _dereq_('./rotateZ')\n  , forEach: _dereq_('./forEach')\n}\n\n},{\"./add\":311,\"./angle\":312,\"./ceil\":313,\"./clone\":314,\"./copy\":315,\"./create\":316,\"./cross\":317,\"./dist\":318,\"./distance\":319,\"./div\":320,\"./divide\":321,\"./dot\":322,\"./epsilon\":323,\"./equals\":324,\"./exactEquals\":325,\"./floor\":326,\"./forEach\":327,\"./fromValues\":328,\"./inverse\":330,\"./len\":331,\"./length\":332,\"./lerp\":333,\"./max\":334,\"./min\":335,\"./mul\":336,\"./multiply\":337,\"./negate\":338,\"./normalize\":339,\"./random\":340,\"./rotateX\":341,\"./rotateY\":342,\"./rotateZ\":343,\"./round\":344,\"./scale\":345,\"./scaleAndAdd\":346,\"./set\":347,\"./sqrDist\":348,\"./sqrLen\":349,\"./squaredDistance\":350,\"./squaredLength\":351,\"./sub\":352,\"./subtract\":353,\"./transformMat3\":354,\"./transformMat4\":355,\"./transformQuat\":356}],330:[function(_dereq_,module,exports){\nmodule.exports = inverse;\n\n/**\n * Returns the inverse of the components of a vec3\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a vector to invert\n * @returns {vec3} out\n */\nfunction inverse(out, a) {\n  out[0] = 1.0 / a[0]\n  out[1] = 1.0 / a[1]\n  out[2] = 1.0 / a[2]\n  return out\n}\n},{}],331:[function(_dereq_,module,exports){\nmodule.exports = _dereq_('./length')\n\n},{\"./length\":332}],332:[function(_dereq_,module,exports){\nmodule.exports = length;\n\n/**\n * Calculates the length of a vec3\n *\n * @param {vec3} a vector to calculate length of\n * @returns {Number} length of a\n */\nfunction length(a) {\n    var x = a[0],\n        y = a[1],\n        z = a[2]\n    return Math.sqrt(x*x + y*y + z*z)\n}\n},{}],333:[function(_dereq_,module,exports){\nmodule.exports = lerp;\n\n/**\n * Performs a linear interpolation between two vec3's\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @param {Number} t interpolation amount between the two inputs\n * @returns {vec3} out\n */\nfunction lerp(out, a, b, t) {\n    var ax = a[0],\n        ay = a[1],\n        az = a[2]\n    out[0] = ax + t * (b[0] - ax)\n    out[1] = ay + t * (b[1] - ay)\n    out[2] = az + t * (b[2] - az)\n    return out\n}\n},{}],334:[function(_dereq_,module,exports){\nmodule.exports = max;\n\n/**\n * Returns the maximum of two vec3's\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @returns {vec3} out\n */\nfunction max(out, a, b) {\n    out[0] = Math.max(a[0], b[0])\n    out[1] = Math.max(a[1], b[1])\n    out[2] = Math.max(a[2], b[2])\n    return out\n}\n},{}],335:[function(_dereq_,module,exports){\nmodule.exports = min;\n\n/**\n * Returns the minimum of two vec3's\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @returns {vec3} out\n */\nfunction min(out, a, b) {\n    out[0] = Math.min(a[0], b[0])\n    out[1] = Math.min(a[1], b[1])\n    out[2] = Math.min(a[2], b[2])\n    return out\n}\n},{}],336:[function(_dereq_,module,exports){\nmodule.exports = _dereq_('./multiply')\n\n},{\"./multiply\":337}],337:[function(_dereq_,module,exports){\nmodule.exports = multiply;\n\n/**\n * Multiplies two vec3's\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @returns {vec3} out\n */\nfunction multiply(out, a, b) {\n    out[0] = a[0] * b[0]\n    out[1] = a[1] * b[1]\n    out[2] = a[2] * b[2]\n    return out\n}\n},{}],338:[function(_dereq_,module,exports){\nmodule.exports = negate;\n\n/**\n * Negates the components of a vec3\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a vector to negate\n * @returns {vec3} out\n */\nfunction negate(out, a) {\n    out[0] = -a[0]\n    out[1] = -a[1]\n    out[2] = -a[2]\n    return out\n}\n},{}],339:[function(_dereq_,module,exports){\nmodule.exports = normalize;\n\n/**\n * Normalize a vec3\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a vector to normalize\n * @returns {vec3} out\n */\nfunction normalize(out, a) {\n    var x = a[0],\n        y = a[1],\n        z = a[2]\n    var len = x*x + y*y + z*z\n    if (len > 0) {\n        //TODO: evaluate use of glm_invsqrt here?\n        len = 1 / Math.sqrt(len)\n        out[0] = a[0] * len\n        out[1] = a[1] * len\n        out[2] = a[2] * len\n    }\n    return out\n}\n},{}],340:[function(_dereq_,module,exports){\nmodule.exports = random;\n\n/**\n * Generates a random vector with the given scale\n *\n * @param {vec3} out the receiving vector\n * @param {Number} [scale] Length of the resulting vector. If ommitted, a unit vector will be returned\n * @returns {vec3} out\n */\nfunction random(out, scale) {\n    scale = scale || 1.0\n\n    var r = Math.random() * 2.0 * Math.PI\n    var z = (Math.random() * 2.0) - 1.0\n    var zScale = Math.sqrt(1.0-z*z) * scale\n\n    out[0] = Math.cos(r) * zScale\n    out[1] = Math.sin(r) * zScale\n    out[2] = z * scale\n    return out\n}\n},{}],341:[function(_dereq_,module,exports){\nmodule.exports = rotateX;\n\n/**\n * Rotate a 3D vector around the x-axis\n * @param {vec3} out The receiving vec3\n * @param {vec3} a The vec3 point to rotate\n * @param {vec3} b The origin of the rotation\n * @param {Number} c The angle of rotation\n * @returns {vec3} out\n */\nfunction rotateX(out, a, b, c){\n    var by = b[1]\n    var bz = b[2]\n\n    // Translate point to the origin\n    var py = a[1] - by\n    var pz = a[2] - bz\n\n    var sc = Math.sin(c)\n    var cc = Math.cos(c)\n\n    // perform rotation and translate to correct position\n    out[0] = a[0]\n    out[1] = by + py * cc - pz * sc\n    out[2] = bz + py * sc + pz * cc\n\n    return out\n}\n\n},{}],342:[function(_dereq_,module,exports){\nmodule.exports = rotateY;\n\n/**\n * Rotate a 3D vector around the y-axis\n * @param {vec3} out The receiving vec3\n * @param {vec3} a The vec3 point to rotate\n * @param {vec3} b The origin of the rotation\n * @param {Number} c The angle of rotation\n * @returns {vec3} out\n */\nfunction rotateY(out, a, b, c){\n    var bx = b[0]\n    var bz = b[2]\n\n    // translate point to the origin\n    var px = a[0] - bx\n    var pz = a[2] - bz\n    \n    var sc = Math.sin(c)\n    var cc = Math.cos(c)\n  \n    // perform rotation and translate to correct position\n    out[0] = bx + pz * sc + px * cc\n    out[1] = a[1]\n    out[2] = bz + pz * cc - px * sc\n  \n    return out\n}\n\n},{}],343:[function(_dereq_,module,exports){\nmodule.exports = rotateZ;\n\n/**\n * Rotate a 3D vector around the z-axis\n * @param {vec3} out The receiving vec3\n * @param {vec3} a The vec3 point to rotate\n * @param {vec3} b The origin of the rotation\n * @param {Number} c The angle of rotation\n * @returns {vec3} out\n */\nfunction rotateZ(out, a, b, c){\n    var bx = b[0]\n    var by = b[1]\n\n    //Translate point to the origin\n    var px = a[0] - bx\n    var py = a[1] - by\n  \n    var sc = Math.sin(c)\n    var cc = Math.cos(c)\n\n    // perform rotation and translate to correct position\n    out[0] = bx + px * cc - py * sc\n    out[1] = by + px * sc + py * cc\n    out[2] = a[2]\n  \n    return out\n}\n\n},{}],344:[function(_dereq_,module,exports){\nmodule.exports = round\n\n/**\n * Math.round the components of a vec3\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a vector to round\n * @returns {vec3} out\n */\nfunction round(out, a) {\n  out[0] = Math.round(a[0])\n  out[1] = Math.round(a[1])\n  out[2] = Math.round(a[2])\n  return out\n}\n\n},{}],345:[function(_dereq_,module,exports){\nmodule.exports = scale;\n\n/**\n * Scales a vec3 by a scalar number\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the vector to scale\n * @param {Number} b amount to scale the vector by\n * @returns {vec3} out\n */\nfunction scale(out, a, b) {\n    out[0] = a[0] * b\n    out[1] = a[1] * b\n    out[2] = a[2] * b\n    return out\n}\n},{}],346:[function(_dereq_,module,exports){\nmodule.exports = scaleAndAdd;\n\n/**\n * Adds two vec3's after scaling the second operand by a scalar value\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @param {Number} scale the amount to scale b by before adding\n * @returns {vec3} out\n */\nfunction scaleAndAdd(out, a, b, scale) {\n    out[0] = a[0] + (b[0] * scale)\n    out[1] = a[1] + (b[1] * scale)\n    out[2] = a[2] + (b[2] * scale)\n    return out\n}\n},{}],347:[function(_dereq_,module,exports){\nmodule.exports = set;\n\n/**\n * Set the components of a vec3 to the given values\n *\n * @param {vec3} out the receiving vector\n * @param {Number} x X component\n * @param {Number} y Y component\n * @param {Number} z Z component\n * @returns {vec3} out\n */\nfunction set(out, x, y, z) {\n    out[0] = x\n    out[1] = y\n    out[2] = z\n    return out\n}\n},{}],348:[function(_dereq_,module,exports){\nmodule.exports = _dereq_('./squaredDistance')\n\n},{\"./squaredDistance\":350}],349:[function(_dereq_,module,exports){\nmodule.exports = _dereq_('./squaredLength')\n\n},{\"./squaredLength\":351}],350:[function(_dereq_,module,exports){\nmodule.exports = squaredDistance;\n\n/**\n * Calculates the squared euclidian distance between two vec3's\n *\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @returns {Number} squared distance between a and b\n */\nfunction squaredDistance(a, b) {\n    var x = b[0] - a[0],\n        y = b[1] - a[1],\n        z = b[2] - a[2]\n    return x*x + y*y + z*z\n}\n},{}],351:[function(_dereq_,module,exports){\nmodule.exports = squaredLength;\n\n/**\n * Calculates the squared length of a vec3\n *\n * @param {vec3} a vector to calculate squared length of\n * @returns {Number} squared length of a\n */\nfunction squaredLength(a) {\n    var x = a[0],\n        y = a[1],\n        z = a[2]\n    return x*x + y*y + z*z\n}\n},{}],352:[function(_dereq_,module,exports){\nmodule.exports = _dereq_('./subtract')\n\n},{\"./subtract\":353}],353:[function(_dereq_,module,exports){\nmodule.exports = subtract;\n\n/**\n * Subtracts vector b from vector a\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the first operand\n * @param {vec3} b the second operand\n * @returns {vec3} out\n */\nfunction subtract(out, a, b) {\n    out[0] = a[0] - b[0]\n    out[1] = a[1] - b[1]\n    out[2] = a[2] - b[2]\n    return out\n}\n},{}],354:[function(_dereq_,module,exports){\nmodule.exports = transformMat3;\n\n/**\n * Transforms the vec3 with a mat3.\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the vector to transform\n * @param {mat4} m the 3x3 matrix to transform with\n * @returns {vec3} out\n */\nfunction transformMat3(out, a, m) {\n    var x = a[0], y = a[1], z = a[2]\n    out[0] = x * m[0] + y * m[3] + z * m[6]\n    out[1] = x * m[1] + y * m[4] + z * m[7]\n    out[2] = x * m[2] + y * m[5] + z * m[8]\n    return out\n}\n},{}],355:[function(_dereq_,module,exports){\nmodule.exports = transformMat4;\n\n/**\n * Transforms the vec3 with a mat4.\n * 4th vector component is implicitly '1'\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the vector to transform\n * @param {mat4} m matrix to transform with\n * @returns {vec3} out\n */\nfunction transformMat4(out, a, m) {\n    var x = a[0], y = a[1], z = a[2],\n        w = m[3] * x + m[7] * y + m[11] * z + m[15]\n    w = w || 1.0\n    out[0] = (m[0] * x + m[4] * y + m[8] * z + m[12]) / w\n    out[1] = (m[1] * x + m[5] * y + m[9] * z + m[13]) / w\n    out[2] = (m[2] * x + m[6] * y + m[10] * z + m[14]) / w\n    return out\n}\n},{}],356:[function(_dereq_,module,exports){\nmodule.exports = transformQuat;\n\n/**\n * Transforms the vec3 with a quat\n *\n * @param {vec3} out the receiving vector\n * @param {vec3} a the vector to transform\n * @param {quat} q quaternion to transform with\n * @returns {vec3} out\n */\nfunction transformQuat(out, a, q) {\n    // benchmarks: http://jsperf.com/quaternion-transform-vec3-implementations\n\n    var x = a[0], y = a[1], z = a[2],\n        qx = q[0], qy = q[1], qz = q[2], qw = q[3],\n\n        // calculate quat * vec\n        ix = qw * x + qy * z - qz * y,\n        iy = qw * y + qz * x - qx * z,\n        iz = qw * z + qx * y - qy * x,\n        iw = -qx * x - qy * y - qz * z\n\n    // calculate result * inverse quat\n    out[0] = ix * qw + iw * -qx + iy * -qz - iz * -qy\n    out[1] = iy * qw + iw * -qy + iz * -qx - ix * -qz\n    out[2] = iz * qw + iw * -qz + ix * -qy - iy * -qx\n    return out\n}\n},{}],357:[function(_dereq_,module,exports){\nmodule.exports = add\n\n/**\n * Adds two vec4's\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @returns {vec4} out\n */\nfunction add (out, a, b) {\n  out[0] = a[0] + b[0]\n  out[1] = a[1] + b[1]\n  out[2] = a[2] + b[2]\n  out[3] = a[3] + b[3]\n  return out\n}\n\n},{}],358:[function(_dereq_,module,exports){\nmodule.exports = clone\n\n/**\n * Creates a new vec4 initialized with values from an existing vector\n *\n * @param {vec4} a vector to clone\n * @returns {vec4} a new 4D vector\n */\nfunction clone (a) {\n  var out = new Float32Array(4)\n  out[0] = a[0]\n  out[1] = a[1]\n  out[2] = a[2]\n  out[3] = a[3]\n  return out\n}\n\n},{}],359:[function(_dereq_,module,exports){\nmodule.exports = copy\n\n/**\n * Copy the values from one vec4 to another\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the source vector\n * @returns {vec4} out\n */\nfunction copy (out, a) {\n  out[0] = a[0]\n  out[1] = a[1]\n  out[2] = a[2]\n  out[3] = a[3]\n  return out\n}\n\n},{}],360:[function(_dereq_,module,exports){\nmodule.exports = create\n\n/**\n * Creates a new, empty vec4\n *\n * @returns {vec4} a new 4D vector\n */\nfunction create () {\n  var out = new Float32Array(4)\n  out[0] = 0\n  out[1] = 0\n  out[2] = 0\n  out[3] = 0\n  return out\n}\n\n},{}],361:[function(_dereq_,module,exports){\nmodule.exports = distance\n\n/**\n * Calculates the euclidian distance between two vec4's\n *\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @returns {Number} distance between a and b\n */\nfunction distance (a, b) {\n  var x = b[0] - a[0],\n    y = b[1] - a[1],\n    z = b[2] - a[2],\n    w = b[3] - a[3]\n  return Math.sqrt(x * x + y * y + z * z + w * w)\n}\n\n},{}],362:[function(_dereq_,module,exports){\nmodule.exports = divide\n\n/**\n * Divides two vec4's\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @returns {vec4} out\n */\nfunction divide (out, a, b) {\n  out[0] = a[0] / b[0]\n  out[1] = a[1] / b[1]\n  out[2] = a[2] / b[2]\n  out[3] = a[3] / b[3]\n  return out\n}\n\n},{}],363:[function(_dereq_,module,exports){\nmodule.exports = dot\n\n/**\n * Calculates the dot product of two vec4's\n *\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @returns {Number} dot product of a and b\n */\nfunction dot (a, b) {\n  return a[0] * b[0] + a[1] * b[1] + a[2] * b[2] + a[3] * b[3]\n}\n\n},{}],364:[function(_dereq_,module,exports){\nmodule.exports = fromValues\n\n/**\n * Creates a new vec4 initialized with the given values\n *\n * @param {Number} x X component\n * @param {Number} y Y component\n * @param {Number} z Z component\n * @param {Number} w W component\n * @returns {vec4} a new 4D vector\n */\nfunction fromValues (x, y, z, w) {\n  var out = new Float32Array(4)\n  out[0] = x\n  out[1] = y\n  out[2] = z\n  out[3] = w\n  return out\n}\n\n},{}],365:[function(_dereq_,module,exports){\nmodule.exports = {\n  create: _dereq_('./create'),\n  clone: _dereq_('./clone'),\n  fromValues: _dereq_('./fromValues'),\n  copy: _dereq_('./copy'),\n  set: _dereq_('./set'),\n  add: _dereq_('./add'),\n  subtract: _dereq_('./subtract'),\n  multiply: _dereq_('./multiply'),\n  divide: _dereq_('./divide'),\n  min: _dereq_('./min'),\n  max: _dereq_('./max'),\n  scale: _dereq_('./scale'),\n  scaleAndAdd: _dereq_('./scaleAndAdd'),\n  distance: _dereq_('./distance'),\n  squaredDistance: _dereq_('./squaredDistance'),\n  length: _dereq_('./length'),\n  squaredLength: _dereq_('./squaredLength'),\n  negate: _dereq_('./negate'),\n  inverse: _dereq_('./inverse'),\n  normalize: _dereq_('./normalize'),\n  dot: _dereq_('./dot'),\n  lerp: _dereq_('./lerp'),\n  random: _dereq_('./random'),\n  transformMat4: _dereq_('./transformMat4'),\n  transformQuat: _dereq_('./transformQuat')\n}\n\n},{\"./add\":357,\"./clone\":358,\"./copy\":359,\"./create\":360,\"./distance\":361,\"./divide\":362,\"./dot\":363,\"./fromValues\":364,\"./inverse\":366,\"./length\":367,\"./lerp\":368,\"./max\":369,\"./min\":370,\"./multiply\":371,\"./negate\":372,\"./normalize\":373,\"./random\":374,\"./scale\":375,\"./scaleAndAdd\":376,\"./set\":377,\"./squaredDistance\":378,\"./squaredLength\":379,\"./subtract\":380,\"./transformMat4\":381,\"./transformQuat\":382}],366:[function(_dereq_,module,exports){\nmodule.exports = inverse\n\n/**\n * Returns the inverse of the components of a vec4\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a vector to invert\n * @returns {vec4} out\n */\nfunction inverse (out, a) {\n  out[0] = 1.0 / a[0]\n  out[1] = 1.0 / a[1]\n  out[2] = 1.0 / a[2]\n  out[3] = 1.0 / a[3]\n  return out\n}\n\n},{}],367:[function(_dereq_,module,exports){\nmodule.exports = length\n\n/**\n * Calculates the length of a vec4\n *\n * @param {vec4} a vector to calculate length of\n * @returns {Number} length of a\n */\nfunction length (a) {\n  var x = a[0],\n    y = a[1],\n    z = a[2],\n    w = a[3]\n  return Math.sqrt(x * x + y * y + z * z + w * w)\n}\n\n},{}],368:[function(_dereq_,module,exports){\nmodule.exports = lerp\n\n/**\n * Performs a linear interpolation between two vec4's\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @param {Number} t interpolation amount between the two inputs\n * @returns {vec4} out\n */\nfunction lerp (out, a, b, t) {\n  var ax = a[0],\n    ay = a[1],\n    az = a[2],\n    aw = a[3]\n  out[0] = ax + t * (b[0] - ax)\n  out[1] = ay + t * (b[1] - ay)\n  out[2] = az + t * (b[2] - az)\n  out[3] = aw + t * (b[3] - aw)\n  return out\n}\n\n},{}],369:[function(_dereq_,module,exports){\nmodule.exports = max\n\n/**\n * Returns the maximum of two vec4's\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @returns {vec4} out\n */\nfunction max (out, a, b) {\n  out[0] = Math.max(a[0], b[0])\n  out[1] = Math.max(a[1], b[1])\n  out[2] = Math.max(a[2], b[2])\n  out[3] = Math.max(a[3], b[3])\n  return out\n}\n\n},{}],370:[function(_dereq_,module,exports){\nmodule.exports = min\n\n/**\n * Returns the minimum of two vec4's\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @returns {vec4} out\n */\nfunction min (out, a, b) {\n  out[0] = Math.min(a[0], b[0])\n  out[1] = Math.min(a[1], b[1])\n  out[2] = Math.min(a[2], b[2])\n  out[3] = Math.min(a[3], b[3])\n  return out\n}\n\n},{}],371:[function(_dereq_,module,exports){\nmodule.exports = multiply\n\n/**\n * Multiplies two vec4's\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @returns {vec4} out\n */\nfunction multiply (out, a, b) {\n  out[0] = a[0] * b[0]\n  out[1] = a[1] * b[1]\n  out[2] = a[2] * b[2]\n  out[3] = a[3] * b[3]\n  return out\n}\n\n},{}],372:[function(_dereq_,module,exports){\nmodule.exports = negate\n\n/**\n * Negates the components of a vec4\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a vector to negate\n * @returns {vec4} out\n */\nfunction negate (out, a) {\n  out[0] = -a[0]\n  out[1] = -a[1]\n  out[2] = -a[2]\n  out[3] = -a[3]\n  return out\n}\n\n},{}],373:[function(_dereq_,module,exports){\nmodule.exports = normalize\n\n/**\n * Normalize a vec4\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a vector to normalize\n * @returns {vec4} out\n */\nfunction normalize (out, a) {\n  var x = a[0],\n    y = a[1],\n    z = a[2],\n    w = a[3]\n  var len = x * x + y * y + z * z + w * w\n  if (len > 0) {\n    len = 1 / Math.sqrt(len)\n    out[0] = x * len\n    out[1] = y * len\n    out[2] = z * len\n    out[3] = w * len\n  }\n  return out\n}\n\n},{}],374:[function(_dereq_,module,exports){\nvar vecNormalize = _dereq_('./normalize')\nvar vecScale = _dereq_('./scale')\n\nmodule.exports = random\n\n/**\n * Generates a random vector with the given scale\n *\n * @param {vec4} out the receiving vector\n * @param {Number} [scale] Length of the resulting vector. If ommitted, a unit vector will be returned\n * @returns {vec4} out\n */\nfunction random (out, scale) {\n  scale = scale || 1.0\n\n  // TODO: This is a pretty awful way of doing this. Find something better.\n  out[0] = Math.random()\n  out[1] = Math.random()\n  out[2] = Math.random()\n  out[3] = Math.random()\n  vecNormalize(out, out)\n  vecScale(out, out, scale)\n  return out\n}\n\n},{\"./normalize\":373,\"./scale\":375}],375:[function(_dereq_,module,exports){\nmodule.exports = scale\n\n/**\n * Scales a vec4 by a scalar number\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the vector to scale\n * @param {Number} b amount to scale the vector by\n * @returns {vec4} out\n */\nfunction scale (out, a, b) {\n  out[0] = a[0] * b\n  out[1] = a[1] * b\n  out[2] = a[2] * b\n  out[3] = a[3] * b\n  return out\n}\n\n},{}],376:[function(_dereq_,module,exports){\nmodule.exports = scaleAndAdd\n\n/**\n * Adds two vec4's after scaling the second operand by a scalar value\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @param {Number} scale the amount to scale b by before adding\n * @returns {vec4} out\n */\nfunction scaleAndAdd (out, a, b, scale) {\n  out[0] = a[0] + (b[0] * scale)\n  out[1] = a[1] + (b[1] * scale)\n  out[2] = a[2] + (b[2] * scale)\n  out[3] = a[3] + (b[3] * scale)\n  return out\n}\n\n},{}],377:[function(_dereq_,module,exports){\nmodule.exports = set\n\n/**\n * Set the components of a vec4 to the given values\n *\n * @param {vec4} out the receiving vector\n * @param {Number} x X component\n * @param {Number} y Y component\n * @param {Number} z Z component\n * @param {Number} w W component\n * @returns {vec4} out\n */\nfunction set (out, x, y, z, w) {\n  out[0] = x\n  out[1] = y\n  out[2] = z\n  out[3] = w\n  return out\n}\n\n},{}],378:[function(_dereq_,module,exports){\nmodule.exports = squaredDistance\n\n/**\n * Calculates the squared euclidian distance between two vec4's\n *\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @returns {Number} squared distance between a and b\n */\nfunction squaredDistance (a, b) {\n  var x = b[0] - a[0],\n    y = b[1] - a[1],\n    z = b[2] - a[2],\n    w = b[3] - a[3]\n  return x * x + y * y + z * z + w * w\n}\n\n},{}],379:[function(_dereq_,module,exports){\nmodule.exports = squaredLength\n\n/**\n * Calculates the squared length of a vec4\n *\n * @param {vec4} a vector to calculate squared length of\n * @returns {Number} squared length of a\n */\nfunction squaredLength (a) {\n  var x = a[0],\n    y = a[1],\n    z = a[2],\n    w = a[3]\n  return x * x + y * y + z * z + w * w\n}\n\n},{}],380:[function(_dereq_,module,exports){\nmodule.exports = subtract\n\n/**\n * Subtracts vector b from vector a\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the first operand\n * @param {vec4} b the second operand\n * @returns {vec4} out\n */\nfunction subtract (out, a, b) {\n  out[0] = a[0] - b[0]\n  out[1] = a[1] - b[1]\n  out[2] = a[2] - b[2]\n  out[3] = a[3] - b[3]\n  return out\n}\n\n},{}],381:[function(_dereq_,module,exports){\nmodule.exports = transformMat4\n\n/**\n * Transforms the vec4 with a mat4.\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the vector to transform\n * @param {mat4} m matrix to transform with\n * @returns {vec4} out\n */\nfunction transformMat4 (out, a, m) {\n  var x = a[0], y = a[1], z = a[2], w = a[3]\n  out[0] = m[0] * x + m[4] * y + m[8] * z + m[12] * w\n  out[1] = m[1] * x + m[5] * y + m[9] * z + m[13] * w\n  out[2] = m[2] * x + m[6] * y + m[10] * z + m[14] * w\n  out[3] = m[3] * x + m[7] * y + m[11] * z + m[15] * w\n  return out\n}\n\n},{}],382:[function(_dereq_,module,exports){\nmodule.exports = transformQuat\n\n/**\n * Transforms the vec4 with a quat\n *\n * @param {vec4} out the receiving vector\n * @param {vec4} a the vector to transform\n * @param {quat} q quaternion to transform with\n * @returns {vec4} out\n */\nfunction transformQuat (out, a, q) {\n  var x = a[0], y = a[1], z = a[2],\n    qx = q[0], qy = q[1], qz = q[2], qw = q[3],\n\n    // calculate quat * vec\n    ix = qw * x + qy * z - qz * y,\n    iy = qw * y + qz * x - qx * z,\n    iz = qw * z + qx * y - qy * x,\n    iw = -qx * x - qy * y - qz * z\n\n  // calculate result * inverse quat\n  out[0] = ix * qw + iw * -qx + iy * -qz - iz * -qy\n  out[1] = iy * qw + iw * -qy + iz * -qx - ix * -qz\n  out[2] = iz * qw + iw * -qz + ix * -qy - iy * -qx\n  out[3] = a[3]\n  return out\n}\n\n},{}],383:[function(_dereq_,module,exports){\nmodule.exports = decodeFloat\n\nvar UINT8_VIEW = new Uint8Array(4)\nvar FLOAT_VIEW = new Float32Array(UINT8_VIEW.buffer)\n\nfunction decodeFloat(x, y, z, w) {\n  UINT8_VIEW[0] = w\n  UINT8_VIEW[1] = z\n  UINT8_VIEW[2] = y\n  UINT8_VIEW[3] = x\n  return FLOAT_VIEW[0]\n}\n\n},{}],384:[function(_dereq_,module,exports){\nvar tokenize = _dereq_('glsl-tokenizer')\nvar atob     = _dereq_('atob-lite')\n\nmodule.exports = getName\n\nfunction getName(src) {\n  var tokens = Array.isArray(src)\n    ? src\n    : tokenize(src)\n\n  for (var i = 0; i < tokens.length; i++) {\n    var token = tokens[i]\n    if (token.type !== 'preprocessor') continue\n    var match = token.data.match(/\\#define\\s+SHADER_NAME(_B64)?\\s+(.+)$/)\n    if (!match) continue\n    if (!match[2]) continue\n\n    var b64  = match[1]\n    var name = match[2]\n\n    return (b64 ? atob(name) : name).trim()\n  }\n}\n\n},{\"atob-lite\":60,\"glsl-tokenizer\":391}],385:[function(_dereq_,module,exports){\nmodule.exports = tokenize\n\nvar literals100 = _dereq_('./lib/literals')\n  , operators = _dereq_('./lib/operators')\n  , builtins100 = _dereq_('./lib/builtins')\n  , literals300es = _dereq_('./lib/literals-300es')\n  , builtins300es = _dereq_('./lib/builtins-300es')\n\nvar NORMAL = 999          // <-- never emitted\n  , TOKEN = 9999          // <-- never emitted\n  , BLOCK_COMMENT = 0\n  , LINE_COMMENT = 1\n  , PREPROCESSOR = 2\n  , OPERATOR = 3\n  , INTEGER = 4\n  , FLOAT = 5\n  , IDENT = 6\n  , BUILTIN = 7\n  , KEYWORD = 8\n  , WHITESPACE = 9\n  , EOF = 10\n  , HEX = 11\n\nvar map = [\n    'block-comment'\n  , 'line-comment'\n  , 'preprocessor'\n  , 'operator'\n  , 'integer'\n  , 'float'\n  , 'ident'\n  , 'builtin'\n  , 'keyword'\n  , 'whitespace'\n  , 'eof'\n  , 'integer'\n]\n\nfunction tokenize(opt) {\n  var i = 0\n    , total = 0\n    , mode = NORMAL\n    , c\n    , last\n    , content = []\n    , tokens = []\n    , token_idx = 0\n    , token_offs = 0\n    , line = 1\n    , col = 0\n    , start = 0\n    , isnum = false\n    , isoperator = false\n    , input = ''\n    , len\n\n  opt = opt || {}\n  var allBuiltins = builtins100\n  var allLiterals = literals100\n  if (opt.version === '300 es') {\n    allBuiltins = builtins300es\n    allLiterals = literals300es\n  }\n\n  return function(data) {\n    tokens = []\n    if (data !== null) return write(data.replace ? data.replace(/\\r\\n/g, '\\n') : data)\n    return end()\n  }\n\n  function token(data) {\n    if (data.length) {\n      tokens.push({\n        type: map[mode]\n      , data: data\n      , position: start\n      , line: line\n      , column: col\n      })\n    }\n  }\n\n  function write(chunk) {\n    i = 0\n    input += chunk\n    len = input.length\n\n    var last\n\n    while(c = input[i], i < len) {\n      last = i\n\n      switch(mode) {\n        case BLOCK_COMMENT: i = block_comment(); break\n        case LINE_COMMENT: i = line_comment(); break\n        case PREPROCESSOR: i = preprocessor(); break\n        case OPERATOR: i = operator(); break\n        case INTEGER: i = integer(); break\n        case HEX: i = hex(); break\n        case FLOAT: i = decimal(); break\n        case TOKEN: i = readtoken(); break\n        case WHITESPACE: i = whitespace(); break\n        case NORMAL: i = normal(); break\n      }\n\n      if(last !== i) {\n        switch(input[last]) {\n          case '\\n': col = 0; ++line; break\n          default: ++col; break\n        }\n      }\n    }\n\n    total += i\n    input = input.slice(i)\n    return tokens\n  }\n\n  function end(chunk) {\n    if(content.length) {\n      token(content.join(''))\n    }\n\n    mode = EOF\n    token('(eof)')\n    return tokens\n  }\n\n  function normal() {\n    content = content.length ? [] : content\n\n    if(last === '/' && c === '*') {\n      start = total + i - 1\n      mode = BLOCK_COMMENT\n      last = c\n      return i + 1\n    }\n\n    if(last === '/' && c === '/') {\n      start = total + i - 1\n      mode = LINE_COMMENT\n      last = c\n      return i + 1\n    }\n\n    if(c === '#') {\n      mode = PREPROCESSOR\n      start = total + i\n      return i\n    }\n\n    if(/\\s/.test(c)) {\n      mode = WHITESPACE\n      start = total + i\n      return i\n    }\n\n    isnum = /\\d/.test(c)\n    isoperator = /[^\\w_]/.test(c)\n\n    start = total + i\n    mode = isnum ? INTEGER : isoperator ? OPERATOR : TOKEN\n    return i\n  }\n\n  function whitespace() {\n    if(/[^\\s]/g.test(c)) {\n      token(content.join(''))\n      mode = NORMAL\n      return i\n    }\n    content.push(c)\n    last = c\n    return i + 1\n  }\n\n  function preprocessor() {\n    if((c === '\\r' || c === '\\n') && last !== '\\\\') {\n      token(content.join(''))\n      mode = NORMAL\n      return i\n    }\n    content.push(c)\n    last = c\n    return i + 1\n  }\n\n  function line_comment() {\n    return preprocessor()\n  }\n\n  function block_comment() {\n    if(c === '/' && last === '*') {\n      content.push(c)\n      token(content.join(''))\n      mode = NORMAL\n      return i + 1\n    }\n\n    content.push(c)\n    last = c\n    return i + 1\n  }\n\n  function operator() {\n    if(last === '.' && /\\d/.test(c)) {\n      mode = FLOAT\n      return i\n    }\n\n    if(last === '/' && c === '*') {\n      mode = BLOCK_COMMENT\n      return i\n    }\n\n    if(last === '/' && c === '/') {\n      mode = LINE_COMMENT\n      return i\n    }\n\n    if(c === '.' && content.length) {\n      while(determine_operator(content));\n\n      mode = FLOAT\n      return i\n    }\n\n    if(c === ';' || c === ')' || c === '(') {\n      if(content.length) while(determine_operator(content));\n      token(c)\n      mode = NORMAL\n      return i + 1\n    }\n\n    var is_composite_operator = content.length === 2 && c !== '='\n    if(/[\\w_\\d\\s]/.test(c) || is_composite_operator) {\n      while(determine_operator(content));\n      mode = NORMAL\n      return i\n    }\n\n    content.push(c)\n    last = c\n    return i + 1\n  }\n\n  function determine_operator(buf) {\n    var j = 0\n      , idx\n      , res\n\n    do {\n      idx = operators.indexOf(buf.slice(0, buf.length + j).join(''))\n      res = operators[idx]\n\n      if(idx === -1) {\n        if(j-- + buf.length > 0) continue\n        res = buf.slice(0, 1).join('')\n      }\n\n      token(res)\n\n      start += res.length\n      content = content.slice(res.length)\n      return content.length\n    } while(1)\n  }\n\n  function hex() {\n    if(/[^a-fA-F0-9]/.test(c)) {\n      token(content.join(''))\n      mode = NORMAL\n      return i\n    }\n\n    content.push(c)\n    last = c\n    return i + 1\n  }\n\n  function integer() {\n    if(c === '.') {\n      content.push(c)\n      mode = FLOAT\n      last = c\n      return i + 1\n    }\n\n    if(/[eE]/.test(c)) {\n      content.push(c)\n      mode = FLOAT\n      last = c\n      return i + 1\n    }\n\n    if(c === 'x' && content.length === 1 && content[0] === '0') {\n      mode = HEX\n      content.push(c)\n      last = c\n      return i + 1\n    }\n\n    if(/[^\\d]/.test(c)) {\n      token(content.join(''))\n      mode = NORMAL\n      return i\n    }\n\n    content.push(c)\n    last = c\n    return i + 1\n  }\n\n  function decimal() {\n    if(c === 'f') {\n      content.push(c)\n      last = c\n      i += 1\n    }\n\n    if(/[eE]/.test(c)) {\n      content.push(c)\n      last = c\n      return i + 1\n    }\n\n    if (c === '-' && /[eE]/.test(last)) {\n      content.push(c)\n      last = c\n      return i + 1\n    }\n\n    if(/[^\\d]/.test(c)) {\n      token(content.join(''))\n      mode = NORMAL\n      return i\n    }\n\n    content.push(c)\n    last = c\n    return i + 1\n  }\n\n  function readtoken() {\n    if(/[^\\d\\w_]/.test(c)) {\n      var contentstr = content.join('')\n      if(allLiterals.indexOf(contentstr) > -1) {\n        mode = KEYWORD\n      } else if(allBuiltins.indexOf(contentstr) > -1) {\n        mode = BUILTIN\n      } else {\n        mode = IDENT\n      }\n      token(content.join(''))\n      mode = NORMAL\n      return i\n    }\n    content.push(c)\n    last = c\n    return i + 1\n  }\n}\n\n},{\"./lib/builtins\":387,\"./lib/builtins-300es\":386,\"./lib/literals\":389,\"./lib/literals-300es\":388,\"./lib/operators\":390}],386:[function(_dereq_,module,exports){\n// 300es builtins/reserved words that were previously valid in v100\nvar v100 = _dereq_('./builtins')\n\n// The texture2D|Cube functions have been removed\n// And the gl_ features are updated\nv100 = v100.slice().filter(function (b) {\n  return !/^(gl\\_|texture)/.test(b)\n})\n\nmodule.exports = v100.concat([\n  // the updated gl_ constants\n    'gl_VertexID'\n  , 'gl_InstanceID'\n  , 'gl_Position'\n  , 'gl_PointSize'\n  , 'gl_FragCoord'\n  , 'gl_FrontFacing'\n  , 'gl_FragDepth'\n  , 'gl_PointCoord'\n  , 'gl_MaxVertexAttribs'\n  , 'gl_MaxVertexUniformVectors'\n  , 'gl_MaxVertexOutputVectors'\n  , 'gl_MaxFragmentInputVectors'\n  , 'gl_MaxVertexTextureImageUnits'\n  , 'gl_MaxCombinedTextureImageUnits'\n  , 'gl_MaxTextureImageUnits'\n  , 'gl_MaxFragmentUniformVectors'\n  , 'gl_MaxDrawBuffers'\n  , 'gl_MinProgramTexelOffset'\n  , 'gl_MaxProgramTexelOffset'\n  , 'gl_DepthRangeParameters'\n  , 'gl_DepthRange'\n\n  // other builtins\n  , 'trunc'\n  , 'round'\n  , 'roundEven'\n  , 'isnan'\n  , 'isinf'\n  , 'floatBitsToInt'\n  , 'floatBitsToUint'\n  , 'intBitsToFloat'\n  , 'uintBitsToFloat'\n  , 'packSnorm2x16'\n  , 'unpackSnorm2x16'\n  , 'packUnorm2x16'\n  , 'unpackUnorm2x16'\n  , 'packHalf2x16'\n  , 'unpackHalf2x16'\n  , 'outerProduct'\n  , 'transpose'\n  , 'determinant'\n  , 'inverse'\n  , 'texture'\n  , 'textureSize'\n  , 'textureProj'\n  , 'textureLod'\n  , 'textureOffset'\n  , 'texelFetch'\n  , 'texelFetchOffset'\n  , 'textureProjOffset'\n  , 'textureLodOffset'\n  , 'textureProjLod'\n  , 'textureProjLodOffset'\n  , 'textureGrad'\n  , 'textureGradOffset'\n  , 'textureProjGrad'\n  , 'textureProjGradOffset'\n])\n\n},{\"./builtins\":387}],387:[function(_dereq_,module,exports){\nmodule.exports = [\n  // Keep this list sorted\n  'abs'\n  , 'acos'\n  , 'all'\n  , 'any'\n  , 'asin'\n  , 'atan'\n  , 'ceil'\n  , 'clamp'\n  , 'cos'\n  , 'cross'\n  , 'dFdx'\n  , 'dFdy'\n  , 'degrees'\n  , 'distance'\n  , 'dot'\n  , 'equal'\n  , 'exp'\n  , 'exp2'\n  , 'faceforward'\n  , 'floor'\n  , 'fract'\n  , 'gl_BackColor'\n  , 'gl_BackLightModelProduct'\n  , 'gl_BackLightProduct'\n  , 'gl_BackMaterial'\n  , 'gl_BackSecondaryColor'\n  , 'gl_ClipPlane'\n  , 'gl_ClipVertex'\n  , 'gl_Color'\n  , 'gl_DepthRange'\n  , 'gl_DepthRangeParameters'\n  , 'gl_EyePlaneQ'\n  , 'gl_EyePlaneR'\n  , 'gl_EyePlaneS'\n  , 'gl_EyePlaneT'\n  , 'gl_Fog'\n  , 'gl_FogCoord'\n  , 'gl_FogFragCoord'\n  , 'gl_FogParameters'\n  , 'gl_FragColor'\n  , 'gl_FragCoord'\n  , 'gl_FragData'\n  , 'gl_FragDepth'\n  , 'gl_FragDepthEXT'\n  , 'gl_FrontColor'\n  , 'gl_FrontFacing'\n  , 'gl_FrontLightModelProduct'\n  , 'gl_FrontLightProduct'\n  , 'gl_FrontMaterial'\n  , 'gl_FrontSecondaryColor'\n  , 'gl_LightModel'\n  , 'gl_LightModelParameters'\n  , 'gl_LightModelProducts'\n  , 'gl_LightProducts'\n  , 'gl_LightSource'\n  , 'gl_LightSourceParameters'\n  , 'gl_MaterialParameters'\n  , 'gl_MaxClipPlanes'\n  , 'gl_MaxCombinedTextureImageUnits'\n  , 'gl_MaxDrawBuffers'\n  , 'gl_MaxFragmentUniformComponents'\n  , 'gl_MaxLights'\n  , 'gl_MaxTextureCoords'\n  , 'gl_MaxTextureImageUnits'\n  , 'gl_MaxTextureUnits'\n  , 'gl_MaxVaryingFloats'\n  , 'gl_MaxVertexAttribs'\n  , 'gl_MaxVertexTextureImageUnits'\n  , 'gl_MaxVertexUniformComponents'\n  , 'gl_ModelViewMatrix'\n  , 'gl_ModelViewMatrixInverse'\n  , 'gl_ModelViewMatrixInverseTranspose'\n  , 'gl_ModelViewMatrixTranspose'\n  , 'gl_ModelViewProjectionMatrix'\n  , 'gl_ModelViewProjectionMatrixInverse'\n  , 'gl_ModelViewProjectionMatrixInverseTranspose'\n  , 'gl_ModelViewProjectionMatrixTranspose'\n  , 'gl_MultiTexCoord0'\n  , 'gl_MultiTexCoord1'\n  , 'gl_MultiTexCoord2'\n  , 'gl_MultiTexCoord3'\n  , 'gl_MultiTexCoord4'\n  , 'gl_MultiTexCoord5'\n  , 'gl_MultiTexCoord6'\n  , 'gl_MultiTexCoord7'\n  , 'gl_Normal'\n  , 'gl_NormalMatrix'\n  , 'gl_NormalScale'\n  , 'gl_ObjectPlaneQ'\n  , 'gl_ObjectPlaneR'\n  , 'gl_ObjectPlaneS'\n  , 'gl_ObjectPlaneT'\n  , 'gl_Point'\n  , 'gl_PointCoord'\n  , 'gl_PointParameters'\n  , 'gl_PointSize'\n  , 'gl_Position'\n  , 'gl_ProjectionMatrix'\n  , 'gl_ProjectionMatrixInverse'\n  , 'gl_ProjectionMatrixInverseTranspose'\n  , 'gl_ProjectionMatrixTranspose'\n  , 'gl_SecondaryColor'\n  , 'gl_TexCoord'\n  , 'gl_TextureEnvColor'\n  , 'gl_TextureMatrix'\n  , 'gl_TextureMatrixInverse'\n  , 'gl_TextureMatrixInverseTranspose'\n  , 'gl_TextureMatrixTranspose'\n  , 'gl_Vertex'\n  , 'greaterThan'\n  , 'greaterThanEqual'\n  , 'inversesqrt'\n  , 'length'\n  , 'lessThan'\n  , 'lessThanEqual'\n  , 'log'\n  , 'log2'\n  , 'matrixCompMult'\n  , 'max'\n  , 'min'\n  , 'mix'\n  , 'mod'\n  , 'normalize'\n  , 'not'\n  , 'notEqual'\n  , 'pow'\n  , 'radians'\n  , 'reflect'\n  , 'refract'\n  , 'sign'\n  , 'sin'\n  , 'smoothstep'\n  , 'sqrt'\n  , 'step'\n  , 'tan'\n  , 'texture2D'\n  , 'texture2DLod'\n  , 'texture2DProj'\n  , 'texture2DProjLod'\n  , 'textureCube'\n  , 'textureCubeLod'\n  , 'texture2DLodEXT'\n  , 'texture2DProjLodEXT'\n  , 'textureCubeLodEXT'\n  , 'texture2DGradEXT'\n  , 'texture2DProjGradEXT'\n  , 'textureCubeGradEXT'\n]\n\n},{}],388:[function(_dereq_,module,exports){\nvar v100 = _dereq_('./literals')\n\nmodule.exports = v100.slice().concat([\n   'layout'\n  , 'centroid'\n  , 'smooth'\n  , 'case'\n  , 'mat2x2'\n  , 'mat2x3'\n  , 'mat2x4'\n  , 'mat3x2'\n  , 'mat3x3'\n  , 'mat3x4'\n  , 'mat4x2'\n  , 'mat4x3'\n  , 'mat4x4'\n  , 'uint'\n  , 'uvec2'\n  , 'uvec3'\n  , 'uvec4'\n  , 'samplerCubeShadow'\n  , 'sampler2DArray'\n  , 'sampler2DArrayShadow'\n  , 'isampler2D'\n  , 'isampler3D'\n  , 'isamplerCube'\n  , 'isampler2DArray'\n  , 'usampler2D'\n  , 'usampler3D'\n  , 'usamplerCube'\n  , 'usampler2DArray'\n  , 'coherent'\n  , 'restrict'\n  , 'readonly'\n  , 'writeonly'\n  , 'resource'\n  , 'atomic_uint'\n  , 'noperspective'\n  , 'patch'\n  , 'sample'\n  , 'subroutine'\n  , 'common'\n  , 'partition'\n  , 'active'\n  , 'filter'\n  , 'image1D'\n  , 'image2D'\n  , 'image3D'\n  , 'imageCube'\n  , 'iimage1D'\n  , 'iimage2D'\n  , 'iimage3D'\n  , 'iimageCube'\n  , 'uimage1D'\n  , 'uimage2D'\n  , 'uimage3D'\n  , 'uimageCube'\n  , 'image1DArray'\n  , 'image2DArray'\n  , 'iimage1DArray'\n  , 'iimage2DArray'\n  , 'uimage1DArray'\n  , 'uimage2DArray'\n  , 'image1DShadow'\n  , 'image2DShadow'\n  , 'image1DArrayShadow'\n  , 'image2DArrayShadow'\n  , 'imageBuffer'\n  , 'iimageBuffer'\n  , 'uimageBuffer'\n  , 'sampler1DArray'\n  , 'sampler1DArrayShadow'\n  , 'isampler1D'\n  , 'isampler1DArray'\n  , 'usampler1D'\n  , 'usampler1DArray'\n  , 'isampler2DRect'\n  , 'usampler2DRect'\n  , 'samplerBuffer'\n  , 'isamplerBuffer'\n  , 'usamplerBuffer'\n  , 'sampler2DMS'\n  , 'isampler2DMS'\n  , 'usampler2DMS'\n  , 'sampler2DMSArray'\n  , 'isampler2DMSArray'\n  , 'usampler2DMSArray'\n])\n\n},{\"./literals\":389}],389:[function(_dereq_,module,exports){\nmodule.exports = [\n  // current\n    'precision'\n  , 'highp'\n  , 'mediump'\n  , 'lowp'\n  , 'attribute'\n  , 'const'\n  , 'uniform'\n  , 'varying'\n  , 'break'\n  , 'continue'\n  , 'do'\n  , 'for'\n  , 'while'\n  , 'if'\n  , 'else'\n  , 'in'\n  , 'out'\n  , 'inout'\n  , 'float'\n  , 'int'\n  , 'void'\n  , 'bool'\n  , 'true'\n  , 'false'\n  , 'discard'\n  , 'return'\n  , 'mat2'\n  , 'mat3'\n  , 'mat4'\n  , 'vec2'\n  , 'vec3'\n  , 'vec4'\n  , 'ivec2'\n  , 'ivec3'\n  , 'ivec4'\n  , 'bvec2'\n  , 'bvec3'\n  , 'bvec4'\n  , 'sampler1D'\n  , 'sampler2D'\n  , 'sampler3D'\n  , 'samplerCube'\n  , 'sampler1DShadow'\n  , 'sampler2DShadow'\n  , 'struct'\n\n  // future\n  , 'asm'\n  , 'class'\n  , 'union'\n  , 'enum'\n  , 'typedef'\n  , 'template'\n  , 'this'\n  , 'packed'\n  , 'goto'\n  , 'switch'\n  , 'default'\n  , 'inline'\n  , 'noinline'\n  , 'volatile'\n  , 'public'\n  , 'static'\n  , 'extern'\n  , 'external'\n  , 'interface'\n  , 'long'\n  , 'short'\n  , 'double'\n  , 'half'\n  , 'fixed'\n  , 'unsigned'\n  , 'input'\n  , 'output'\n  , 'hvec2'\n  , 'hvec3'\n  , 'hvec4'\n  , 'dvec2'\n  , 'dvec3'\n  , 'dvec4'\n  , 'fvec2'\n  , 'fvec3'\n  , 'fvec4'\n  , 'sampler2DRect'\n  , 'sampler3DRect'\n  , 'sampler2DRectShadow'\n  , 'sizeof'\n  , 'cast'\n  , 'namespace'\n  , 'using'\n]\n\n},{}],390:[function(_dereq_,module,exports){\nmodule.exports = [\n    '<<='\n  , '>>='\n  , '++'\n  , '--'\n  , '<<'\n  , '>>'\n  , '<='\n  , '>='\n  , '=='\n  , '!='\n  , '&&'\n  , '||'\n  , '+='\n  , '-='\n  , '*='\n  , '/='\n  , '%='\n  , '&='\n  , '^^'\n  , '^='\n  , '|='\n  , '('\n  , ')'\n  , '['\n  , ']'\n  , '.'\n  , '!'\n  , '~'\n  , '*'\n  , '/'\n  , '%'\n  , '+'\n  , '-'\n  , '<'\n  , '>'\n  , '&'\n  , '^'\n  , '|'\n  , '?'\n  , ':'\n  , '='\n  , ','\n  , ';'\n  , '{'\n  , '}'\n]\n\n},{}],391:[function(_dereq_,module,exports){\nvar tokenize = _dereq_('./index')\n\nmodule.exports = tokenizeString\n\nfunction tokenizeString(str, opt) {\n  var generator = tokenize(opt)\n  var tokens = []\n\n  tokens = tokens.concat(generator(str))\n  tokens = tokens.concat(generator(null))\n\n  return tokens\n}\n\n},{\"./index\":385}],392:[function(_dereq_,module,exports){\nmodule.exports = function(strings) {\r\n  if (typeof strings === 'string') strings = [strings]\r\n  var exprs = [].slice.call(arguments,1)\r\n  var parts = []\r\n  for (var i = 0; i < strings.length-1; i++) {\r\n    parts.push(strings[i], exprs[i] || '')\r\n  }\r\n  parts.push(strings[i])\r\n  return parts.join('')\r\n}\r\n\n},{}],393:[function(_dereq_,module,exports){\n(function (global){\n'use strict'\r\n\r\nvar isBrowser = _dereq_('is-browser')\r\nvar hasHover\r\n\r\nif (typeof global.matchMedia === 'function') {\r\n\thasHover = !global.matchMedia('(hover: none)').matches\r\n}\r\nelse {\r\n\thasHover = isBrowser\r\n}\r\n\r\nmodule.exports = hasHover\r\n\n}).call(this,typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {})\n},{\"is-browser\":400}],394:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar isBrowser = _dereq_('is-browser')\r\n\r\nfunction detect() {\r\n\tvar supported = false\r\n\r\n\ttry {\r\n\t\tvar opts = Object.defineProperty({}, 'passive', {\r\n\t\t\tget: function() {\r\n\t\t\t\tsupported = true\r\n\t\t\t}\r\n\t\t})\r\n\r\n\t\twindow.addEventListener('test', null, opts)\r\n\t\twindow.removeEventListener('test', null, opts)\r\n\t} catch(e) {\r\n\t\tsupported = false\r\n\t}\r\n\r\n\treturn supported\r\n}\r\n\r\nmodule.exports = isBrowser && detect()\r\n\n},{\"is-browser\":400}],395:[function(_dereq_,module,exports){\nexports.read = function (buffer, offset, isLE, mLen, nBytes) {\n  var e, m\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var nBits = -7\n  var i = isLE ? (nBytes - 1) : 0\n  var d = isLE ? -1 : 1\n  var s = buffer[offset + i]\n\n  i += d\n\n  e = s & ((1 << (-nBits)) - 1)\n  s >>= (-nBits)\n  nBits += eLen\n  for (; nBits > 0; e = (e * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  m = e & ((1 << (-nBits)) - 1)\n  e >>= (-nBits)\n  nBits += mLen\n  for (; nBits > 0; m = (m * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  if (e === 0) {\n    e = 1 - eBias\n  } else if (e === eMax) {\n    return m ? NaN : ((s ? -1 : 1) * Infinity)\n  } else {\n    m = m + Math.pow(2, mLen)\n    e = e - eBias\n  }\n  return (s ? -1 : 1) * m * Math.pow(2, e - mLen)\n}\n\nexports.write = function (buffer, value, offset, isLE, mLen, nBytes) {\n  var e, m, c\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var rt = (mLen === 23 ? Math.pow(2, -24) - Math.pow(2, -77) : 0)\n  var i = isLE ? 0 : (nBytes - 1)\n  var d = isLE ? 1 : -1\n  var s = value < 0 || (value === 0 && 1 / value < 0) ? 1 : 0\n\n  value = Math.abs(value)\n\n  if (isNaN(value) || value === Infinity) {\n    m = isNaN(value) ? 1 : 0\n    e = eMax\n  } else {\n    e = Math.floor(Math.log(value) / Math.LN2)\n    if (value * (c = Math.pow(2, -e)) < 1) {\n      e--\n      c *= 2\n    }\n    if (e + eBias >= 1) {\n      value += rt / c\n    } else {\n      value += rt * Math.pow(2, 1 - eBias)\n    }\n    if (value * c >= 2) {\n      e++\n      c /= 2\n    }\n\n    if (e + eBias >= eMax) {\n      m = 0\n      e = eMax\n    } else if (e + eBias >= 1) {\n      m = ((value * c) - 1) * Math.pow(2, mLen)\n      e = e + eBias\n    } else {\n      m = value * Math.pow(2, eBias - 1) * Math.pow(2, mLen)\n      e = 0\n    }\n  }\n\n  for (; mLen >= 8; buffer[offset + i] = m & 0xff, i += d, m /= 256, mLen -= 8) {}\n\n  e = (e << mLen) | m\n  eLen += mLen\n  for (; eLen > 0; buffer[offset + i] = e & 0xff, i += d, e /= 256, eLen -= 8) {}\n\n  buffer[offset + i - d] |= s * 128\n}\n\n},{}],396:[function(_dereq_,module,exports){\n\"use strict\"\n\n//High level idea:\n// 1. Use Clarkson's incremental construction to find convex hull\n// 2. Point location in triangulation by jump and walk\n\nmodule.exports = incrementalConvexHull\n\nvar orient = _dereq_(\"robust-orientation\")\nvar compareCell = _dereq_(\"simplicial-complex\").compareCells\n\nfunction compareInt(a, b) {\n  return a - b\n}\n\nfunction Simplex(vertices, adjacent, boundary) {\n  this.vertices = vertices\n  this.adjacent = adjacent\n  this.boundary = boundary\n  this.lastVisited = -1\n}\n\nSimplex.prototype.flip = function() {\n  var t = this.vertices[0]\n  this.vertices[0] = this.vertices[1]\n  this.vertices[1] = t\n  var u = this.adjacent[0]\n  this.adjacent[0] = this.adjacent[1]\n  this.adjacent[1] = u\n}\n\nfunction GlueFacet(vertices, cell, index) {\n  this.vertices = vertices\n  this.cell = cell\n  this.index = index\n}\n\nfunction compareGlue(a, b) {\n  return compareCell(a.vertices, b.vertices)\n}\n\nfunction bakeOrient(d) {\n  var code = [\"function orient(){var tuple=this.tuple;return test(\"]\n  for(var i=0; i<=d; ++i) {\n    if(i > 0) {\n      code.push(\",\")\n    }\n    code.push(\"tuple[\", i, \"]\")\n  }\n  code.push(\")}return orient\")\n  var proc = new Function(\"test\", code.join(\"\"))\n  var test = orient[d+1]\n  if(!test) {\n    test = orient\n  }\n  return proc(test)\n}\n\nvar BAKED = []\n\nfunction Triangulation(dimension, vertices, simplices) {\n  this.dimension = dimension\n  this.vertices = vertices\n  this.simplices = simplices\n  this.interior = simplices.filter(function(c) {\n    return !c.boundary\n  })\n\n  this.tuple = new Array(dimension+1)\n  for(var i=0; i<=dimension; ++i) {\n    this.tuple[i] = this.vertices[i]\n  }\n\n  var o = BAKED[dimension]\n  if(!o) {\n    o = BAKED[dimension] = bakeOrient(dimension)\n  }\n  this.orient = o\n}\n\nvar proto = Triangulation.prototype\n\n//Degenerate situation where we are on boundary, but coplanar to face\nproto.handleBoundaryDegeneracy = function(cell, point) {\n  var d = this.dimension\n  var n = this.vertices.length - 1\n  var tuple = this.tuple\n  var verts = this.vertices\n\n  //Dumb solution: Just do dfs from boundary cell until we find any peak, or terminate\n  var toVisit = [ cell ]\n  cell.lastVisited = -n\n  while(toVisit.length > 0) {\n    cell = toVisit.pop()\n    var cellVerts = cell.vertices\n    var cellAdj = cell.adjacent\n    for(var i=0; i<=d; ++i) {\n      var neighbor = cellAdj[i]\n      if(!neighbor.boundary || neighbor.lastVisited <= -n) {\n        continue\n      }\n      var nv = neighbor.vertices\n      for(var j=0; j<=d; ++j) {\n        var vv = nv[j]\n        if(vv < 0) {\n          tuple[j] = point\n        } else {\n          tuple[j] = verts[vv]\n        }\n      }\n      var o = this.orient()\n      if(o > 0) {\n        return neighbor\n      }\n      neighbor.lastVisited = -n\n      if(o === 0) {\n        toVisit.push(neighbor)\n      }\n    }\n  }\n  return null\n}\n\nproto.walk = function(point, random) {\n  //Alias local properties\n  var n = this.vertices.length - 1\n  var d = this.dimension\n  var verts = this.vertices\n  var tuple = this.tuple\n\n  //Compute initial jump cell\n  var initIndex = random ? (this.interior.length * Math.random())|0 : (this.interior.length-1)\n  var cell = this.interior[ initIndex ]\n\n  //Start walking\nouterLoop:\n  while(!cell.boundary) {\n    var cellVerts = cell.vertices\n    var cellAdj = cell.adjacent\n\n    for(var i=0; i<=d; ++i) {\n      tuple[i] = verts[cellVerts[i]]\n    }\n    cell.lastVisited = n\n\n    //Find farthest adjacent cell\n    for(var i=0; i<=d; ++i) {\n      var neighbor = cellAdj[i]\n      if(neighbor.lastVisited >= n) {\n        continue\n      }\n      var prev = tuple[i]\n      tuple[i] = point\n      var o = this.orient()\n      tuple[i] = prev\n      if(o < 0) {\n        cell = neighbor\n        continue outerLoop\n      } else {\n        if(!neighbor.boundary) {\n          neighbor.lastVisited = n\n        } else {\n          neighbor.lastVisited = -n\n        }\n      }\n    }\n    return\n  }\n\n  return cell\n}\n\nproto.addPeaks = function(point, cell) {\n  var n = this.vertices.length - 1\n  var d = this.dimension\n  var verts = this.vertices\n  var tuple = this.tuple\n  var interior = this.interior\n  var simplices = this.simplices\n\n  //Walking finished at boundary, time to add peaks\n  var tovisit = [ cell ]\n\n  //Stretch initial boundary cell into a peak\n  cell.lastVisited = n\n  cell.vertices[cell.vertices.indexOf(-1)] = n\n  cell.boundary = false\n  interior.push(cell)\n\n  //Record a list of all new boundaries created by added peaks so we can glue them together when we are all done\n  var glueFacets = []\n\n  //Do a traversal of the boundary walking outward from starting peak\n  while(tovisit.length > 0) {\n    //Pop off peak and walk over adjacent cells\n    var cell = tovisit.pop()\n    var cellVerts = cell.vertices\n    var cellAdj = cell.adjacent\n    var indexOfN = cellVerts.indexOf(n)\n    if(indexOfN < 0) {\n      continue\n    }\n\n    for(var i=0; i<=d; ++i) {\n      if(i === indexOfN) {\n        continue\n      }\n\n      //For each boundary neighbor of the cell\n      var neighbor = cellAdj[i]\n      if(!neighbor.boundary || neighbor.lastVisited >= n) {\n        continue\n      }\n\n      var nv = neighbor.vertices\n\n      //Test if neighbor is a peak\n      if(neighbor.lastVisited !== -n) {      \n        //Compute orientation of p relative to each boundary peak\n        var indexOfNeg1 = 0\n        for(var j=0; j<=d; ++j) {\n          if(nv[j] < 0) {\n            indexOfNeg1 = j\n            tuple[j] = point\n          } else {\n            tuple[j] = verts[nv[j]]\n          }\n        }\n        var o = this.orient()\n\n        //Test if neighbor cell is also a peak\n        if(o > 0) {\n          nv[indexOfNeg1] = n\n          neighbor.boundary = false\n          interior.push(neighbor)\n          tovisit.push(neighbor)\n          neighbor.lastVisited = n\n          continue\n        } else {\n          neighbor.lastVisited = -n\n        }\n      }\n\n      var na = neighbor.adjacent\n\n      //Otherwise, replace neighbor with new face\n      var vverts = cellVerts.slice()\n      var vadj = cellAdj.slice()\n      var ncell = new Simplex(vverts, vadj, true)\n      simplices.push(ncell)\n\n      //Connect to neighbor\n      var opposite = na.indexOf(cell)\n      if(opposite < 0) {\n        continue\n      }\n      na[opposite] = ncell\n      vadj[indexOfN] = neighbor\n\n      //Connect to cell\n      vverts[i] = -1\n      vadj[i] = cell\n      cellAdj[i] = ncell\n\n      //Flip facet\n      ncell.flip()\n\n      //Add to glue list\n      for(var j=0; j<=d; ++j) {\n        var uu = vverts[j]\n        if(uu < 0 || uu === n) {\n          continue\n        }\n        var nface = new Array(d-1)\n        var nptr = 0\n        for(var k=0; k<=d; ++k) {\n          var vv = vverts[k]\n          if(vv < 0 || k === j) {\n            continue\n          }\n          nface[nptr++] = vv\n        }\n        glueFacets.push(new GlueFacet(nface, ncell, j))\n      }\n    }\n  }\n\n  //Glue boundary facets together\n  glueFacets.sort(compareGlue)\n\n  for(var i=0; i+1<glueFacets.length; i+=2) {\n    var a = glueFacets[i]\n    var b = glueFacets[i+1]\n    var ai = a.index\n    var bi = b.index\n    if(ai < 0 || bi < 0) {\n      continue\n    }\n    a.cell.adjacent[a.index] = b.cell\n    b.cell.adjacent[b.index] = a.cell\n  }\n}\n\nproto.insert = function(point, random) {\n  //Add point\n  var verts = this.vertices\n  verts.push(point)\n\n  var cell = this.walk(point, random)\n  if(!cell) {\n    return\n  }\n\n  //Alias local properties\n  var d = this.dimension\n  var tuple = this.tuple\n\n  //Degenerate case: If point is coplanar to cell, then walk until we find a non-degenerate boundary\n  for(var i=0; i<=d; ++i) {\n    var vv = cell.vertices[i]\n    if(vv < 0) {\n      tuple[i] = point\n    } else {\n      tuple[i] = verts[vv]\n    }\n  }\n  var o = this.orient(tuple)\n  if(o < 0) {\n    return\n  } else if(o === 0) {\n    cell = this.handleBoundaryDegeneracy(cell, point)\n    if(!cell) {\n      return\n    }\n  }\n\n  //Add peaks\n  this.addPeaks(point, cell)\n}\n\n//Extract all boundary cells\nproto.boundary = function() {\n  var d = this.dimension\n  var boundary = []\n  var cells = this.simplices\n  var nc = cells.length\n  for(var i=0; i<nc; ++i) {\n    var c = cells[i]\n    if(c.boundary) {\n      var bcell = new Array(d)\n      var cv = c.vertices\n      var ptr = 0\n      var parity = 0\n      for(var j=0; j<=d; ++j) {\n        if(cv[j] >= 0) {\n          bcell[ptr++] = cv[j]\n        } else {\n          parity = j&1\n        }\n      }\n      if(parity === (d&1)) {\n        var t = bcell[0]\n        bcell[0] = bcell[1]\n        bcell[1] = t\n      }\n      boundary.push(bcell)\n    }\n  }\n  return boundary\n}\n\nfunction incrementalConvexHull(points, randomSearch) {\n  var n = points.length\n  if(n === 0) {\n    throw new Error(\"Must have at least d+1 points\")\n  }\n  var d = points[0].length\n  if(n <= d) {\n    throw new Error(\"Must input at least d+1 points\")\n  }\n\n  //FIXME: This could be degenerate, but need to select d+1 non-coplanar points to bootstrap process\n  var initialSimplex = points.slice(0, d+1)\n\n  //Make sure initial simplex is positively oriented\n  var o = orient.apply(void 0, initialSimplex)\n  if(o === 0) {\n    throw new Error(\"Input not in general position\")\n  }\n  var initialCoords = new Array(d+1)\n  for(var i=0; i<=d; ++i) {\n    initialCoords[i] = i\n  }\n  if(o < 0) {\n    initialCoords[0] = 1\n    initialCoords[1] = 0\n  }\n\n  //Create initial topological index, glue pointers together (kind of messy)\n  var initialCell = new Simplex(initialCoords, new Array(d+1), false)\n  var boundary = initialCell.adjacent\n  var list = new Array(d+2)\n  for(var i=0; i<=d; ++i) {\n    var verts = initialCoords.slice()\n    for(var j=0; j<=d; ++j) {\n      if(j === i) {\n        verts[j] = -1\n      }\n    }\n    var t = verts[0]\n    verts[0] = verts[1]\n    verts[1] = t\n    var cell = new Simplex(verts, new Array(d+1), true)\n    boundary[i] = cell\n    list[i] = cell\n  }\n  list[d+1] = initialCell\n  for(var i=0; i<=d; ++i) {\n    var verts = boundary[i].vertices\n    var adj = boundary[i].adjacent\n    for(var j=0; j<=d; ++j) {\n      var v = verts[j]\n      if(v < 0) {\n        adj[j] = initialCell\n        continue\n      }\n      for(var k=0; k<=d; ++k) {\n        if(boundary[k].vertices.indexOf(v) < 0) {\n          adj[j] = boundary[k]\n        }\n      }\n    }\n  }\n\n  //Initialize triangles\n  var triangles = new Triangulation(d, initialSimplex, list)\n\n  //Insert remaining points\n  var useRandom = !!randomSearch\n  for(var i=d+1; i<n; ++i) {\n    triangles.insert(points[i], useRandom)\n  }\n  \n  //Extract boundary cells\n  return triangles.boundary()\n}\n},{\"robust-orientation\":486,\"simplicial-complex\":496}],397:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar bounds = _dereq_(\"binary-search-bounds\")\n\nvar NOT_FOUND = 0\nvar SUCCESS = 1\nvar EMPTY = 2\n\nmodule.exports = createWrapper\n\nfunction IntervalTreeNode(mid, left, right, leftPoints, rightPoints) {\n  this.mid = mid\n  this.left = left\n  this.right = right\n  this.leftPoints = leftPoints\n  this.rightPoints = rightPoints\n  this.count = (left ? left.count : 0) + (right ? right.count : 0) + leftPoints.length\n}\n\nvar proto = IntervalTreeNode.prototype\n\nfunction copy(a, b) {\n  a.mid = b.mid\n  a.left = b.left\n  a.right = b.right\n  a.leftPoints = b.leftPoints\n  a.rightPoints = b.rightPoints\n  a.count = b.count\n}\n\nfunction rebuild(node, intervals) {\n  var ntree = createIntervalTree(intervals)\n  node.mid = ntree.mid\n  node.left = ntree.left\n  node.right = ntree.right\n  node.leftPoints = ntree.leftPoints\n  node.rightPoints = ntree.rightPoints\n  node.count = ntree.count\n}\n\nfunction rebuildWithInterval(node, interval) {\n  var intervals = node.intervals([])\n  intervals.push(interval)\n  rebuild(node, intervals)    \n}\n\nfunction rebuildWithoutInterval(node, interval) {\n  var intervals = node.intervals([])\n  var idx = intervals.indexOf(interval)\n  if(idx < 0) {\n    return NOT_FOUND\n  }\n  intervals.splice(idx, 1)\n  rebuild(node, intervals)\n  return SUCCESS\n}\n\nproto.intervals = function(result) {\n  result.push.apply(result, this.leftPoints)\n  if(this.left) {\n    this.left.intervals(result)\n  }\n  if(this.right) {\n    this.right.intervals(result)\n  }\n  return result\n}\n\nproto.insert = function(interval) {\n  var weight = this.count - this.leftPoints.length\n  this.count += 1\n  if(interval[1] < this.mid) {\n    if(this.left) {\n      if(4*(this.left.count+1) > 3*(weight+1)) {\n        rebuildWithInterval(this, interval)\n      } else {\n        this.left.insert(interval)\n      }\n    } else {\n      this.left = createIntervalTree([interval])\n    }\n  } else if(interval[0] > this.mid) {\n    if(this.right) {\n      if(4*(this.right.count+1) > 3*(weight+1)) {\n        rebuildWithInterval(this, interval)\n      } else {\n        this.right.insert(interval)\n      }\n    } else {\n      this.right = createIntervalTree([interval])\n    }\n  } else {\n    var l = bounds.ge(this.leftPoints, interval, compareBegin)\n    var r = bounds.ge(this.rightPoints, interval, compareEnd)\n    this.leftPoints.splice(l, 0, interval)\n    this.rightPoints.splice(r, 0, interval)\n  }\n}\n\nproto.remove = function(interval) {\n  var weight = this.count - this.leftPoints\n  if(interval[1] < this.mid) {\n    if(!this.left) {\n      return NOT_FOUND\n    }\n    var rw = this.right ? this.right.count : 0\n    if(4 * rw > 3 * (weight-1)) {\n      return rebuildWithoutInterval(this, interval)\n    }\n    var r = this.left.remove(interval)\n    if(r === EMPTY) {\n      this.left = null\n      this.count -= 1\n      return SUCCESS\n    } else if(r === SUCCESS) {\n      this.count -= 1\n    }\n    return r\n  } else if(interval[0] > this.mid) {\n    if(!this.right) {\n      return NOT_FOUND\n    }\n    var lw = this.left ? this.left.count : 0\n    if(4 * lw > 3 * (weight-1)) {\n      return rebuildWithoutInterval(this, interval)\n    }\n    var r = this.right.remove(interval)\n    if(r === EMPTY) {\n      this.right = null\n      this.count -= 1\n      return SUCCESS\n    } else if(r === SUCCESS) {\n      this.count -= 1\n    }\n    return r\n  } else {\n    if(this.count === 1) {\n      if(this.leftPoints[0] === interval) {\n        return EMPTY\n      } else {\n        return NOT_FOUND\n      }\n    }\n    if(this.leftPoints.length === 1 && this.leftPoints[0] === interval) {\n      if(this.left && this.right) {\n        var p = this\n        var n = this.left\n        while(n.right) {\n          p = n\n          n = n.right\n        }\n        if(p === this) {\n          n.right = this.right\n        } else {\n          var l = this.left\n          var r = this.right\n          p.count -= n.count\n          p.right = n.left\n          n.left = l\n          n.right = r\n        }\n        copy(this, n)\n        this.count = (this.left?this.left.count:0) + (this.right?this.right.count:0) + this.leftPoints.length\n      } else if(this.left) {\n        copy(this, this.left)\n      } else {\n        copy(this, this.right)\n      }\n      return SUCCESS\n    }\n    for(var l = bounds.ge(this.leftPoints, interval, compareBegin); l<this.leftPoints.length; ++l) {\n      if(this.leftPoints[l][0] !== interval[0]) {\n        break\n      }\n      if(this.leftPoints[l] === interval) {\n        this.count -= 1\n        this.leftPoints.splice(l, 1)\n        for(var r = bounds.ge(this.rightPoints, interval, compareEnd); r<this.rightPoints.length; ++r) {\n          if(this.rightPoints[r][1] !== interval[1]) {\n            break\n          } else if(this.rightPoints[r] === interval) {\n            this.rightPoints.splice(r, 1)\n            return SUCCESS\n          }\n        }\n      }\n    }\n    return NOT_FOUND\n  }\n}\n\nfunction reportLeftRange(arr, hi, cb) {\n  for(var i=0; i<arr.length && arr[i][0] <= hi; ++i) {\n    var r = cb(arr[i])\n    if(r) { return r }\n  }\n}\n\nfunction reportRightRange(arr, lo, cb) {\n  for(var i=arr.length-1; i>=0 && arr[i][1] >= lo; --i) {\n    var r = cb(arr[i])\n    if(r) { return r }\n  }\n}\n\nfunction reportRange(arr, cb) {\n  for(var i=0; i<arr.length; ++i) {\n    var r = cb(arr[i])\n    if(r) { return r }\n  }\n}\n\nproto.queryPoint = function(x, cb) {\n  if(x < this.mid) {\n    if(this.left) {\n      var r = this.left.queryPoint(x, cb)\n      if(r) { return r }\n    }\n    return reportLeftRange(this.leftPoints, x, cb)\n  } else if(x > this.mid) {\n    if(this.right) {\n      var r = this.right.queryPoint(x, cb)\n      if(r) { return r }\n    }\n    return reportRightRange(this.rightPoints, x, cb)\n  } else {\n    return reportRange(this.leftPoints, cb)\n  }\n}\n\nproto.queryInterval = function(lo, hi, cb) {\n  if(lo < this.mid && this.left) {\n    var r = this.left.queryInterval(lo, hi, cb)\n    if(r) { return r }\n  }\n  if(hi > this.mid && this.right) {\n    var r = this.right.queryInterval(lo, hi, cb)\n    if(r) { return r }\n  }\n  if(hi < this.mid) {\n    return reportLeftRange(this.leftPoints, hi, cb)\n  } else if(lo > this.mid) {\n    return reportRightRange(this.rightPoints, lo, cb)\n  } else {\n    return reportRange(this.leftPoints, cb)\n  }\n}\n\nfunction compareNumbers(a, b) {\n  return a - b\n}\n\nfunction compareBegin(a, b) {\n  var d = a[0] - b[0]\n  if(d) { return d }\n  return a[1] - b[1]\n}\n\nfunction compareEnd(a, b) {\n  var d = a[1] - b[1]\n  if(d) { return d }\n  return a[0] - b[0]\n}\n\nfunction createIntervalTree(intervals) {\n  if(intervals.length === 0) {\n    return null\n  }\n  var pts = []\n  for(var i=0; i<intervals.length; ++i) {\n    pts.push(intervals[i][0], intervals[i][1])\n  }\n  pts.sort(compareNumbers)\n\n  var mid = pts[pts.length>>1]\n\n  var leftIntervals = []\n  var rightIntervals = []\n  var centerIntervals = []\n  for(var i=0; i<intervals.length; ++i) {\n    var s = intervals[i]\n    if(s[1] < mid) {\n      leftIntervals.push(s)\n    } else if(mid < s[0]) {\n      rightIntervals.push(s)\n    } else {\n      centerIntervals.push(s)\n    }\n  }\n\n  //Split center intervals\n  var leftPoints = centerIntervals\n  var rightPoints = centerIntervals.slice()\n  leftPoints.sort(compareBegin)\n  rightPoints.sort(compareEnd)\n\n  return new IntervalTreeNode(mid, \n    createIntervalTree(leftIntervals),\n    createIntervalTree(rightIntervals),\n    leftPoints,\n    rightPoints)\n}\n\n//User friendly wrapper that makes it possible to support empty trees\nfunction IntervalTree(root) {\n  this.root = root\n}\n\nvar tproto = IntervalTree.prototype\n\ntproto.insert = function(interval) {\n  if(this.root) {\n    this.root.insert(interval)\n  } else {\n    this.root = new IntervalTreeNode(interval[0], null, null, [interval], [interval])\n  }\n}\n\ntproto.remove = function(interval) {\n  if(this.root) {\n    var r = this.root.remove(interval)\n    if(r === EMPTY) {\n      this.root = null\n    }\n    return r !== NOT_FOUND\n  }\n  return false\n}\n\ntproto.queryPoint = function(p, cb) {\n  if(this.root) {\n    return this.root.queryPoint(p, cb)\n  }\n}\n\ntproto.queryInterval = function(lo, hi, cb) {\n  if(lo <= hi && this.root) {\n    return this.root.queryInterval(lo, hi, cb)\n  }\n}\n\nObject.defineProperty(tproto, \"count\", {\n  get: function() {\n    if(this.root) {\n      return this.root.count\n    }\n    return 0\n  }\n})\n\nObject.defineProperty(tproto, \"intervals\", {\n  get: function() {\n    if(this.root) {\n      return this.root.intervals([])\n    }\n    return []\n  }\n})\n\nfunction createWrapper(intervals) {\n  if(!intervals || intervals.length === 0) {\n    return new IntervalTree(null)\n  }\n  return new IntervalTree(createIntervalTree(intervals))\n}\n\n},{\"binary-search-bounds\":79}],398:[function(_dereq_,module,exports){\n\"use strict\"\n\nfunction invertPermutation(pi, result) {\n  result = result || new Array(pi.length)\n  for(var i=0; i<pi.length; ++i) {\n    result[pi[i]] = i\n  }\n  return result\n}\n\nmodule.exports = invertPermutation\n},{}],399:[function(_dereq_,module,exports){\n\"use strict\"\n\nfunction iota(n) {\n  var result = new Array(n)\n  for(var i=0; i<n; ++i) {\n    result[i] = i\n  }\n  return result\n}\n\nmodule.exports = iota\n},{}],400:[function(_dereq_,module,exports){\nmodule.exports = true;\n},{}],401:[function(_dereq_,module,exports){\n/*!\n * Determine if an object is a Buffer\n *\n * @author   Feross Aboukhadijeh <https://feross.org>\n * @license  MIT\n */\n\n// The _isBuffer check is for Safari 5-7 support, because it's missing\n// Object.prototype.constructor. Remove this eventually\nmodule.exports = function (obj) {\n  return obj != null && (isBuffer(obj) || isSlowBuffer(obj) || !!obj._isBuffer)\n}\n\nfunction isBuffer (obj) {\n  return !!obj.constructor && typeof obj.constructor.isBuffer === 'function' && obj.constructor.isBuffer(obj)\n}\n\n// For Node v0.10 support. Remove this eventually.\nfunction isSlowBuffer (obj) {\n  return typeof obj.readFloatLE === 'function' && typeof obj.slice === 'function' && isBuffer(obj.slice(0, 0))\n}\n\n},{}],402:[function(_dereq_,module,exports){\n'use strict';\nmodule.exports = typeof navigator !== 'undefined' &&\n\t(/MSIE/.test(navigator.userAgent) || /Trident\\//.test(navigator.appVersion));\n\n},{}],403:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = isMobile;\nmodule.exports.isMobile = isMobile;\n\nvar mobileRE = /(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i;\n\nvar tabletRE = /(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;\n\nfunction isMobile (opts) {\n  if (!opts) opts = {}\n  var ua = opts.ua\n  if (!ua && typeof navigator !== 'undefined') ua = navigator.userAgent;\n  if (ua && ua.headers && typeof ua.headers['user-agent'] === 'string') {\n    ua = ua.headers['user-agent'];\n  }\n  if (typeof ua !== 'string') return false;\n\n  return opts.tablet\n    ? tabletRE.test(ua)\n    : mobileRE.test(ua);\n}\n\n},{}],404:[function(_dereq_,module,exports){\n'use strict';\nmodule.exports = function (x) {\n\tvar type = typeof x;\n\treturn x !== null && (type === 'object' || type === 'function');\n};\n\n},{}],405:[function(_dereq_,module,exports){\n'use strict';\nvar toString = Object.prototype.toString;\n\nmodule.exports = function (x) {\n\tvar prototype;\n\treturn toString.call(x) === '[object Object]' && (prototype = Object.getPrototypeOf(x), prototype === null || prototype === Object.getPrototypeOf({}));\n};\n\n},{}],406:[function(_dereq_,module,exports){\n'use strict';\r\n\r\n/**\r\n * Is this string all whitespace?\r\n * This solution kind of makes my brain hurt, but it's significantly faster\r\n * than !str.trim() or any other solution I could find.\r\n *\r\n * whitespace codes from: http://en.wikipedia.org/wiki/Whitespace_character\r\n * and verified with:\r\n *\r\n *  for(var i = 0; i < 65536; i++) {\r\n *      var s = String.fromCharCode(i);\r\n *      if(+s===0 && !s.trim()) console.log(i, s);\r\n *  }\r\n *\r\n * which counts a couple of these as *not* whitespace, but finds nothing else\r\n * that *is* whitespace. Note that charCodeAt stops at 16 bits, but it appears\r\n * that there are no whitespace characters above this, and code points above\r\n * this do not map onto white space characters.\r\n */\r\n\r\nmodule.exports = function(str){\r\n    var l = str.length,\r\n        a;\r\n    for(var i = 0; i < l; i++) {\r\n        a = str.charCodeAt(i);\r\n        if((a < 9 || a > 13) && (a !== 32) && (a !== 133) && (a !== 160) &&\r\n            (a !== 5760) && (a !== 6158) && (a < 8192 || a > 8205) &&\r\n            (a !== 8232) && (a !== 8233) && (a !== 8239) && (a !== 8287) &&\r\n            (a !== 8288) && (a !== 12288) && (a !== 65279)) {\r\n                return false;\r\n        }\r\n    }\r\n    return true;\r\n}\r\n\n},{}],407:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = function isPath(str) {\r\n\tif (typeof str !== 'string') return false\r\n\r\n\tstr = str.trim()\r\n\r\n\t// https://www.w3.org/TR/SVG/paths.html#PathDataBNF\r\n\tif (/^[mzlhvcsqta]\\s*[-+.0-9][^mlhvzcsqta]+/i.test(str) && /[\\dz]$/i.test(str) && str.length > 4) return true\r\n\r\n\treturn false\r\n}\r\n\n},{}],408:[function(_dereq_,module,exports){\nfunction lerp(v0, v1, t) {\n    return v0*(1-t)+v1*t\n}\nmodule.exports = lerp\n},{}],409:[function(_dereq_,module,exports){\n(function (global){\n(function (global, factory) {\n\ttypeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :\n\ttypeof define === 'function' && define.amd ? define(factory) :\n\t(global.mapboxgl = factory());\n}(this, (function () { 'use strict';\n\n/* eslint-disable */\n\nvar shared, worker, mapboxgl;\n// define gets called three times: one for each chunk. we rely on the order\n// they're imported to know which is which\nfunction define(_, chunk) {\nif (!shared) {\n    shared = chunk;\n} else if (!worker) {\n    worker = chunk;\n} else {\n    var workerBundleString = 'var sharedChunk = {}; (' + shared + ')(sharedChunk); (' + worker + ')(sharedChunk);'\n\n    var sharedChunk = {};\n    shared(sharedChunk);\n    mapboxgl = chunk(sharedChunk);\n    mapboxgl.workerUrl = window.URL.createObjectURL(new Blob([workerBundleString], { type: 'text/javascript' }));\n}\n}\n\n\ndefine([\"exports\"],function(t){\"use strict\";var e=\"undefined\"!=typeof window?window:\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:{};function r(t){return t&&t.__esModule&&Object.prototype.hasOwnProperty.call(t,\"default\")?t.default:t}function n(t,e){return t(e={exports:{}},e.exports),e.exports}var i=o;function o(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n;}o.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},o.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},o.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},o.prototype.solveCurveX=function(t,e){var r,n,i,o,a;for(void 0===e&&(e=1e-6),i=t,a=0;a<8;a++){if(o=this.sampleCurveX(i)-t,Math.abs(o)<e)return i;var s=this.sampleCurveDerivativeX(i);if(Math.abs(s)<1e-6)break;i-=o/s;}if((i=t)<(r=0))return r;if(i>(n=1))return n;for(;r<n;){if(o=this.sampleCurveX(i),Math.abs(o-t)<e)return i;t>o?r=i:n=i,i=.5*(n-r)+r;}return i},o.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var a=function(t,e,r){this.column=t,this.row=e,this.zoom=r;};a.prototype.clone=function(){return new a(this.column,this.row,this.zoom)},a.prototype.zoomTo=function(t){return this.clone()._zoomTo(t)},a.prototype.sub=function(t){return this.clone()._sub(t)},a.prototype._zoomTo=function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},a.prototype._sub=function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this};var s=u;function u(t,e){this.x=t,this.y=e;}function l(t,e,r,n){var o=new i(t,e,r,n);return function(t){return o.solve(t)}}u.prototype={clone:function(){return new u(this.x,this.y)},add:function(t){return this.clone()._add(t)},sub:function(t){return this.clone()._sub(t)},multByPoint:function(t){return this.clone()._multByPoint(t)},divByPoint:function(t){return this.clone()._divByPoint(t)},mult:function(t){return this.clone()._mult(t)},div:function(t){return this.clone()._div(t)},rotate:function(t){return this.clone()._rotate(t)},rotateAround:function(t,e){return this.clone()._rotateAround(t,e)},matMult:function(t){return this.clone()._matMult(t)},unit:function(){return this.clone()._unit()},perp:function(){return this.clone()._perp()},round:function(){return this.clone()._round()},mag:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},equals:function(t){return this.x===t.x&&this.y===t.y},dist:function(t){return Math.sqrt(this.distSqr(t))},distSqr:function(t){var e=t.x-this.x,r=t.y-this.y;return e*e+r*r},angle:function(){return Math.atan2(this.y,this.x)},angleTo:function(t){return Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return 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e=this.input.evaluate(t);if(Y(this.type,nt(e)))throw new ot(\"Expected value to be of type \"+X(this.type)+\", but found \"+X(nt(e))+\" instead.\");return e},lt.prototype.eachChild=function(t){t(this.input);},lt.prototype.possibleOutputs=function(){return this.input.possibleOutputs()},lt.prototype.serialize=function(){var t=[\"array\"],e=this.type.itemType;if(\"string\"===e.kind||\"number\"===e.kind||\"boolean\"===e.kind){t.push(e.kind);var r=this.type.N;\"number\"==typeof r&&t.push(r);}return t.push(this.input.serialize()),t};var pt={\"to-number\":U,\"to-color\":Z},ct=function(t,e){this.type=t,this.args=e;};ct.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");for(var r=t[0],n=pt[r],i=[],o=1;o<t.length;o++){var a=e.parse(t[o],o,J);if(!a)return null;i.push(a);}return new ct(n,i)},ct.prototype.evaluate=function(t){if(\"color\"===this.type.kind){for(var e,r,n=0,i=this.args;n<i.length;n+=1){if(r=null,\"string\"==typeof(e=i[n].evaluate(t))){var 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ht=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],ft=function(){this._parseColorCache={};};ft.prototype.id=function(){return this.feature&&\"id\"in this.feature?this.feature.id:null},ft.prototype.geometryType=function(){return this.feature?\"number\"==typeof this.feature.type?ht[this.feature.type]:this.feature.type:null},ft.prototype.properties=function(){return this.feature&&this.feature.properties||{}},ft.prototype.parseColor=function(t){var e=this._parseColorCache[t];return e||(e=this._parseColorCache[t]=Q.parse(t)),e};var yt=function(t,e,r,n){this.name=t,this.type=e,this._evaluate=r,this.args=n;};function dt(t){if(t instanceof yt){if(\"get\"===t.name&&1===t.args.length)return!1;if(\"has\"===t.name&&1===t.args.length)return!1;if(\"properties\"===t.name||\"geometry-type\"===t.name||\"id\"===t.name)return!1;if(/^filter-/.test(t.name))return!1}var e=!0;return t.eachChild(function(t){e&&!dt(t)&&(e=!1);}),e}function vt(t,e){if(t instanceof yt&&e.indexOf(t.name)>=0)return!1;var 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Math.ceil(t/e)*e}Jr.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Jr.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Jr.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews());},Jr.prototype.clear=function(){this.length=0;},Jr.prototype.resize=function(t){this.reserve(t),this.length=t;},Jr.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e);}},Jr.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete 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this.int16[o+0]=t,this.int16[o+1]=e,this.int16[o+2]=r,this.int16[o+3]=n,i},e}(Jr);Gr.prototype.bytesPerElement=8,hr(\"StructArrayLayout4i8\",Gr);var Yr=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,o){var a=this.length;this.resize(a+1);var s=6*a;return this.int16[s+0]=t,this.int16[s+1]=e,this.int16[s+2]=r,this.int16[s+3]=n,this.int16[s+4]=i,this.int16[s+5]=o,a},e}(Jr);Yr.prototype.bytesPerElement=12,hr(\"StructArrayLayout2i4i12\",Yr);var Wr=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,o,a,s){var u=this.length;this.resize(u+1);var l=6*u,p=12*u;return this.int16[l+0]=t,this.int16[l+1]=e,this.int16[l+2]=r,this.int16[l+3]=n,this.uint8[p+8]=i,this.uint8[p+9]=o,this.uint8[p+10]=a,this.uint8[p+11]=s,u},e}(Jr);Wr.prototype.bytesPerElement=12,hr(\"StructArrayLayout4i4ub12\",Wr);var Qr=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,o,a,s){var u=this.length;this.resize(u+1);var l=8*u;return this.int16[l+0]=t,this.int16[l+1]=e,this.int16[l+2]=r,this.int16[l+3]=n,this.uint16[l+4]=i,this.uint16[l+5]=o,this.uint16[l+6]=a,this.uint16[l+7]=s,u},e}(Jr);Qr.prototype.bytesPerElement=16,hr(\"StructArrayLayout4i4ui16\",Qr);var tn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r){var n=this.length;this.resize(n+1);var i=3*n;return this.float32[i+0]=t,this.float32[i+1]=e,this.float32[i+2]=r,n},e}(Jr);tn.prototype.bytesPerElement=12,hr(\"StructArrayLayout3f12\",tn);var en=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t){var e=this.length;this.resize(e+1);var r=1*e;return this.uint32[r+0]=t,e},e}(Jr);en.prototype.bytesPerElement=4,hr(\"StructArrayLayout1ul4\",en);var rn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,o,a,s,u,l,p){var c=this.length;this.resize(c+1);var h=12*c,f=6*c;return this.int16[h+0]=t,this.int16[h+1]=e,this.int16[h+2]=r,this.int16[h+3]=n,this.int16[h+4]=i,this.int16[h+5]=o,this.uint32[f+3]=a,this.uint16[h+8]=s,this.uint16[h+9]=u,this.int16[h+10]=l,this.int16[h+11]=p,c},e}(Jr);rn.prototype.bytesPerElement=24,hr(\"StructArrayLayout6i1ul2ui2i24\",rn);var nn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,o){var a=this.length;this.resize(a+1);var s=6*a;return this.int16[s+0]=t,this.int16[s+1]=e,this.int16[s+2]=r,this.int16[s+3]=n,this.int16[s+4]=i,this.int16[s+5]=o,a},e}(Jr);nn.prototype.bytesPerElement=12,hr(\"StructArrayLayout2i2i2i12\",nn);var on=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e){var r=this.length;this.resize(r+1);var n=4*r;return this.uint8[n+0]=t,this.uint8[n+1]=e,r},e}(Jr);on.prototype.bytesPerElement=4,hr(\"StructArrayLayout2ub4\",on);var an=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,o,a,s,u,l,p,c,h,f){var y=this.length;this.resize(y+1);var d=20*y,v=10*y,m=40*y;return this.int16[d+0]=t,this.int16[d+1]=e,this.uint16[d+2]=r,this.uint16[d+3]=n,this.uint32[v+2]=i,this.uint32[v+3]=o,this.uint32[v+4]=a,this.uint16[d+10]=s,this.uint16[d+11]=u,this.uint16[d+12]=l,this.float32[v+7]=p,this.float32[v+8]=c,this.uint8[m+36]=h,this.uint8[m+37]=f,y},e}(Jr);an.prototype.bytesPerElement=40,hr(\"StructArrayLayout2i2ui3ul3ui2f2ub40\",an);var sn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t){var e=this.length;this.resize(e+1);var r=1*e;return this.float32[r+0]=t,e},e}(Jr);sn.prototype.bytesPerElement=4,hr(\"StructArrayLayout1f4\",sn);var un=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r){var n=this.length;this.resize(n+1);var i=3*n;return this.int16[i+0]=t,this.int16[i+1]=e,this.int16[i+2]=r,n},e}(Jr);un.prototype.bytesPerElement=6,hr(\"StructArrayLayout3i6\",un);var ln=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r){var n=this.length;this.resize(n+1);var i=2*n,o=4*n;return this.uint32[i+0]=t,this.uint16[o+2]=e,this.uint16[o+3]=r,n},e}(Jr);ln.prototype.bytesPerElement=8,hr(\"StructArrayLayout1ul2ui8\",ln);var pn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r){var n=this.length;this.resize(n+1);var i=3*n;return this.uint16[i+0]=t,this.uint16[i+1]=e,this.uint16[i+2]=r,n},e}(Jr);pn.prototype.bytesPerElement=6,hr(\"StructArrayLayout3ui6\",pn);var cn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e){var r=this.length;this.resize(r+1);var n=2*r;return this.uint16[n+0]=t,this.uint16[n+1]=e,r},e}(Jr);cn.prototype.bytesPerElement=4,hr(\"StructArrayLayout2ui4\",cn);var hn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e){var r=this.length;this.resize(r+1);var n=2*r;return this.float32[n+0]=t,this.float32[n+1]=e,r},e}(Jr);hn.prototype.bytesPerElement=8,hr(\"StructArrayLayout2f8\",hn);var fn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;this.resize(i+1);var o=4*i;return this.float32[o+0]=t,this.float32[o+1]=e,this.float32[o+2]=r,this.float32[o+3]=n,i},e}(Jr);fn.prototype.bytesPerElement=16,hr(\"StructArrayLayout4f16\",fn);var yn=function(t){function e(){t.apply(this,arguments);}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},radius:{configurable:!0},signedDistanceFromAnchor:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointX.set=function(t){this._structArray.int16[this._pos2+0]=t;},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorPointY.set=function(t){this._structArray.int16[this._pos2+1]=t;},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.x1.set=function(t){this._structArray.int16[this._pos2+2]=t;},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.y1.set=function(t){this._structArray.int16[this._pos2+3]=t;},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.x2.set=function(t){this._structArray.int16[this._pos2+4]=t;},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.y2.set=function(t){this._structArray.int16[this._pos2+5]=t;},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t;},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t;},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t;},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t;},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t;},r.anchorPoint.get=function(){return new s(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Kr);yn.prototype.size=24;var dn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new yn(this,t)},e}(rn);hr(\"CollisionBoxArray\",dn);var vn=function(t){function e(){t.apply(this,arguments);}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},hidden:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t;},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t;},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.glyphStartIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t;},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t;},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t;},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t;},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t;},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t;},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t;},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.upperSize.set=function(t){this._structArray.uint16[this._pos2+12]=t;},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetX.set=function(t){this._structArray.float32[this._pos4+7]=t;},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.lineOffsetY.set=function(t){this._structArray.float32[this._pos4+8]=t;},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.writingMode.set=function(t){this._structArray.uint8[this._pos1+36]=t;},r.hidden.get=function(){return this._structArray.uint8[this._pos1+37]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+37]=t;},Object.defineProperties(e.prototype,r),e}(Kr);vn.prototype.size=40;var mn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new vn(this,t)},e}(an);hr(\"PlacedSymbolArray\",mn);var gn=function(t){function e(){t.apply(this,arguments);}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={offsetX:{configurable:!0}};return r.offsetX.get=function(){return this._structArray.float32[this._pos4+0]},r.offsetX.set=function(t){this._structArray.float32[this._pos4+0]=t;},Object.defineProperties(e.prototype,r),e}(Kr);gn.prototype.size=4;var xn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e.prototype.get=function(t){return new gn(this,t)},e}(sn);hr(\"GlyphOffsetArray\",xn);var bn=function(t){function e(){t.apply(this,arguments);}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={x:{configurable:!0},y:{configurable:!0},tileUnitDistanceFromAnchor:{configurable:!0}};return r.x.get=function(){return this._structArray.int16[this._pos2+0]},r.x.set=function(t){this._structArray.int16[this._pos2+0]=t;},r.y.get=function(){return this._structArray.int16[this._pos2+1]},r.y.set=function(t){this._structArray.int16[this._pos2+1]=t;},r.tileUnitDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+2]},r.tileUnitDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+2]=t;},Object.defineProperties(e.prototype,r),e}(Kr);bn.prototype.size=6;var wn=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e.prototype.get=function(t){return new bn(this,t)},e}(un);hr(\"SymbolLineVertexArray\",wn);var _n=function(t){function e(){t.apply(this,arguments);}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+0]=t;},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t;},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+3]=t;},Object.defineProperties(e.prototype,r),e}(Kr);_n.prototype.size=8;var An=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new _n(this,t)},e}(ln);hr(\"FeatureIndexArray\",An);var kn=$r([{name:\"a_pos\",components:2,type:\"Int16\"}],4).members,zn=function(t){void 0===t&&(t=[]),this.segments=t;};zn.prototype.prepareSegment=function(t,e,r){var n=this.segments[this.segments.length-1];return t>zn.MAX_VERTEX_ARRAY_LENGTH&&b(\"Max vertices per segment is \"+zn.MAX_VERTEX_ARRAY_LENGTH+\": bucket requested \"+t),(!n||n.vertexLength+t>zn.MAX_VERTEX_ARRAY_LENGTH)&&(n={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},this.segments.push(n)),n},zn.prototype.get=function(){return this.segments},zn.prototype.destroy=function(){for(var t=0,e=this.segments;t<e.length;t+=1){var r=e[t];for(var n in r.vaos)r.vaos[n].destroy();}},zn.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,hr(\"SegmentVector\",zn);var Sn=function(t,e){return 256*(t=c(Math.floor(t),0,255))+(e=c(Math.floor(e),0,255))};function Mn(t){return[Sn(255*t.r,255*t.g),Sn(255*t.b,255*t.a)]}var 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r=t.readVarint()+t.pos;for(;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i;}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos);}function po(t){for(var e,r,n=0,i=0,o=t.length,a=o-1;i<o;a=i++)e=t[i],n+=((r=t[a]).x-e.x)*(e.y+r.y);return n}uo.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],uo.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,o=0,a=0,u=[];t.pos<r;){if(i<=0){var l=t.readVarint();n=7&l,i=l>>3;}if(i--,1===n||2===n)o+=t.readSVarint(),a+=t.readSVarint(),1===n&&(e&&u.push(e),e=[]),e.push(new s(o,a));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone());}}return e&&u.push(e),u},uo.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,o=0,a=1/0,s=-1/0,u=1/0,l=-1/0;t.pos<e;){if(n<=0){var 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h={type:\"Feature\",geometry:{type:l,coordinates:u},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var co=ho;function ho(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(fo,this,e),this.length=this._features.length;}function fo(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null;}return e}(r));}function yo(t,e,r){if(3===t){var n=new co(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n);}}ho.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new so(this._pbf,e,this.extent,this._keys,this._values)};var vo={VectorTile:function(t,e){this.layers=t.readFields(yo,{},e);},VectorTileFeature:so,VectorTileLayer:co},mo=vo.VectorTileFeature.types,go=63,xo=Math.cos(Math.PI/180*37.5),bo=.5,wo=Math.pow(2,14)/bo;function _o(t,e,r,n,i,o,a){t.emplaceBack(e.x,e.y,n?1:0,i?1:-1,Math.round(go*r.x)+128,Math.round(go*r.y)+128,1+(0===o?0:o<0?-1:1)|(a*bo&63)<<2,a*bo>>6);}var Ao=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.layoutVertexArray=new Wr,this.indexArray=new pn,this.programConfigurations=new En(ao,t.layers,t.zoom),this.segments=new zn;};function ko(t,e){return(t/e.tileTotal*(e.end-e.start)+e.start)*(wo-1)}Ao.prototype.populate=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],o=i.feature,a=i.index,s=i.sourceLayerIndex;if(this.layers[0]._featureFilter(new Br(this.zoom),o)){var u=Ln(o);this.addFeature(o,u),e.featureIndex.insert(o,u,a,s,this.index);}}},Ao.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Ao.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ao),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.programConfigurations.upload(t);},Ao.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy());},Ao.prototype.addFeature=function(t,e){for(var r=this.layers[0].layout,n=r.get(\"line-join\").evaluate(t),i=r.get(\"line-cap\"),o=r.get(\"line-miter-limit\"),a=r.get(\"line-round-limit\"),s=0,u=e;s<u.length;s+=1){var l=u[s];this.addLine(l,t,n,i,o,a);}},Ao.prototype.addLine=function(t,e,r,n,i,o){var a=null;e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")&&(a={start:e.properties.mapbox_clip_start,end:e.properties.mapbox_clip_end,tileTotal:void 0});for(var s=\"Polygon\"===mo[e.type],u=t.length;u>=2&&t[u-1].equals(t[u-2]);)u--;for(var l=0;l<u-1&&t[l].equals(t[l+1]);)l++;if(!(u<(s?3:2))){a&&(a.tileTotal=function(t,e,r){for(var n,i,o=0,a=e;a<r-1;a++)n=t[a],i=t[a+1],o+=n.dist(i);return o}(t,l,u)),\"bevel\"===r&&(i=1.05);var p=Pn/(512*this.overscaling)*15,c=t[l],h=this.segments.prepareSegment(10*u,this.layoutVertexArray,this.indexArray);this.distance=0;var f,y,d,v=n,m=s?\"butt\":n,g=!0,x=void 0,b=void 0,w=void 0,_=void 0;this.e1=this.e2=this.e3=-1,s&&(f=t[u-2],_=c.sub(f)._unit()._perp());for(var A=l;A<u;A++)if(!(b=s&&A===u-1?t[l+1]:t[A+1])||!t[A].equals(b)){_&&(w=_),f&&(x=f),f=t[A],_=b?b.sub(f)._unit()._perp():w;var k=(w=w||_).add(_);0===k.x&&0===k.y||k._unit();var z=k.x*_.x+k.y*_.y,S=0!==z?1/z:1/0,M=z<xo&&x&&b;if(M&&A>l){var V=f.dist(x);if(V>2*p){var B=f.sub(f.sub(x)._mult(p/V)._round());this.distance+=B.dist(x),this.addCurrentVertex(B,this.distance,w.mult(1),0,0,!1,h,a),x=B;}}var C=x&&b,I=C?r:b?v:m;if(C&&\"round\"===I&&(S<o?I=\"miter\":S<=2&&(I=\"fakeround\")),\"miter\"===I&&S>i&&(I=\"bevel\"),\"bevel\"===I&&(S>2&&(I=\"flipbevel\"),S<i&&(I=\"miter\")),x&&(this.distance+=f.dist(x)),\"miter\"===I)k._mult(S),this.addCurrentVertex(f,this.distance,k,0,0,!1,h,a);else if(\"flipbevel\"===I){if(S>100)k=_.clone().mult(-1);else{var E=w.x*_.y-w.y*_.x>0?-1:1,F=S*w.add(_).mag()/w.sub(_).mag();k._perp()._mult(F*E);}this.addCurrentVertex(f,this.distance,k,0,0,!1,h,a),this.addCurrentVertex(f,this.distance,k.mult(-1),0,0,!1,h,a);}else if(\"bevel\"===I||\"fakeround\"===I){var P=w.x*_.y-w.y*_.x>0,T=-Math.sqrt(S*S-1);if(P?(d=0,y=T):(y=0,d=T),g||this.addCurrentVertex(f,this.distance,w,y,d,!1,h,a),\"fakeround\"===I){for(var O=Math.floor(8*(.5-(z-.5))),L=void 0,j=0;j<O;j++)L=_.mult((j+1)/(O+1))._add(w)._unit(),this.addPieSliceVertex(f,this.distance,L,P,h,a);this.addPieSliceVertex(f,this.distance,k,P,h,a);for(var q=O-1;q>=0;q--)L=w.mult((q+1)/(O+1))._add(_)._unit(),this.addPieSliceVertex(f,this.distance,L,P,h,a);}b&&this.addCurrentVertex(f,this.distance,_,-y,-d,!1,h,a);}else\"butt\"===I?(g||this.addCurrentVertex(f,this.distance,w,0,0,!1,h,a),b&&this.addCurrentVertex(f,this.distance,_,0,0,!1,h,a)):\"square\"===I?(g||(this.addCurrentVertex(f,this.distance,w,1,1,!1,h,a),this.e1=this.e2=-1),b&&this.addCurrentVertex(f,this.distance,_,-1,-1,!1,h,a)):\"round\"===I&&(g||(this.addCurrentVertex(f,this.distance,w,0,0,!1,h,a),this.addCurrentVertex(f,this.distance,w,1,1,!0,h,a),this.e1=this.e2=-1),b&&(this.addCurrentVertex(f,this.distance,_,-1,-1,!0,h,a),this.addCurrentVertex(f,this.distance,_,0,0,!1,h,a)));if(M&&A<u-1){var R=f.dist(b);if(R>2*p){var U=f.add(b.sub(f)._mult(p/R)._round());this.distance+=U.dist(f),this.addCurrentVertex(U,this.distance,_.mult(1),0,0,!1,h,a),f=U;}}g=!1;}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e);}},Ao.prototype.addCurrentVertex=function(t,e,r,n,i,o,a,s){var u,l=this.layoutVertexArray,p=this.indexArray;s&&(e=ko(e,s)),u=r.clone(),n&&u._sub(r.perp()._mult(n)),_o(l,t,u,o,!1,n,e),this.e3=a.vertexLength++,this.e1>=0&&this.e2>=0&&(p.emplaceBack(this.e1,this.e2,this.e3),a.primitiveLength++),this.e1=this.e2,this.e2=this.e3,u=r.mult(-1),i&&u._sub(r.perp()._mult(i)),_o(l,t,u,o,!0,-i,e),this.e3=a.vertexLength++,this.e1>=0&&this.e2>=0&&(p.emplaceBack(this.e1,this.e2,this.e3),a.primitiveLength++),this.e1=this.e2,this.e2=this.e3,e>wo/2&&!s&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,o,a));},Ao.prototype.addPieSliceVertex=function(t,e,r,n,i,o){r=r.mult(n?-1:1);var a=this.layoutVertexArray,s=this.indexArray;o&&(e=ko(e,o)),_o(a,t,r,!1,n,0,e),this.e3=i.vertexLength++,this.e1>=0&&this.e2>=0&&(s.emplaceBack(this.e1,this.e2,this.e3),i.primitiveLength++),n?this.e2=this.e3:this.e1=this.e3;},hr(\"LineBucket\",Ao,{omit:[\"layers\"]});var zo=new Dr({\"line-cap\":new jr(E.layout_line[\"line-cap\"]),\"line-join\":new qr(E.layout_line[\"line-join\"]),\"line-miter-limit\":new jr(E.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new jr(E.layout_line[\"line-round-limit\"])}),So={paint:new Dr({\"line-opacity\":new qr(E.paint_line[\"line-opacity\"]),\"line-color\":new qr(E.paint_line[\"line-color\"]),\"line-translate\":new jr(E.paint_line[\"line-translate\"]),\"line-translate-anchor\":new jr(E.paint_line[\"line-translate-anchor\"]),\"line-width\":new qr(E.paint_line[\"line-width\"]),\"line-gap-width\":new qr(E.paint_line[\"line-gap-width\"]),\"line-offset\":new qr(E.paint_line[\"line-offset\"]),\"line-blur\":new qr(E.paint_line[\"line-blur\"]),\"line-dasharray\":new Rr(E.paint_line[\"line-dasharray\"]),\"line-pattern\":new Rr(E.paint_line[\"line-pattern\"]),\"line-gradient\":new Ur(E.paint_line[\"line-gradient\"])}),layout:zo},Mo=new(function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Br(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n){return r=h({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n)},e}(qr))(So.paint.properties[\"line-width\"].specification);Mo.useIntegerZoom=!0;var Vo=function(t){function e(e){t.call(this,e,So);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setPaintProperty=function(e,r,n){t.prototype.setPaintProperty.call(this,e,r,n),\"line-gradient\"===e&&this._updateGradient();},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=hi(t,\"lineProgress\"),this.gradientTexture=null;},e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),this.paint._values[\"line-floorwidth\"]=Mo.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e);},e.prototype.createBucket=function(t){return new Ao(t)},e.prototype.queryRadius=function(t){var e=t,r=Bo(Gn(\"line-width\",this,e),Gn(\"line-gap-width\",this,e)),n=Gn(\"line-offset\",this,e);return r/2+Math.abs(n)+Yn(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o){var a=Wn(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),i.angle,o),u=o/2*Bo(this.paint.get(\"line-width\").evaluate(e),this.paint.get(\"line-gap-width\").evaluate(e)),l=this.paint.get(\"line-offset\").evaluate(e);return l&&(r=function(t,e){for(var r=[],n=new s(0,0),i=0;i<t.length;i++){for(var o=t[i],a=[],u=0;u<o.length;u++){var l=o[u-1],p=o[u],c=o[u+1],h=0===u?n:p.sub(l)._unit()._perp(),f=u===o.length-1?n:c.sub(p)._unit()._perp(),y=h._add(f)._unit(),d=y.x*f.x+y.y*f.y;y._mult(1/d),a.push(y._mult(e)._add(p));}r.push(a);}return r}(r,l*o)),Dn(a,r,u)},e}(Nr);function Bo(t,e){return e>0?e+2*t:t}var Co=$r([{name:\"a_pos_offset\",components:4,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint16\"}]),Io=$r([{name:\"a_projected_pos\",components:3,type:\"Float32\"}],4),Eo=($r([{name:\"a_fade_opacity\",components:1,type:\"Uint32\"}],4),$r([{name:\"a_placed\",components:2,type:\"Uint8\"}],4)),Fo=($r([{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"radius\"},{type:\"Int16\",name:\"signedDistanceFromAnchor\"}]),$r([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4)),Po=$r([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4);$r([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Uint16\",name:\"glyphStartIndex\"},{type:\"Uint16\",name:\"numGlyphs\"},{type:\"Uint32\",name:\"vertexStartIndex\"},{type:\"Uint32\",name:\"lineStartIndex\"},{type:\"Uint32\",name:\"lineLength\"},{type:\"Uint16\",name:\"segment\"},{type:\"Uint16\",name:\"lowerSize\"},{type:\"Uint16\",name:\"upperSize\"},{type:\"Float32\",name:\"lineOffsetX\"},{type:\"Float32\",name:\"lineOffsetY\"},{type:\"Uint8\",name:\"writingMode\"},{type:\"Uint8\",name:\"hidden\"}]),$r([{type:\"Float32\",name:\"offsetX\"}]),$r([{type:\"Int16\",name:\"x\"},{type:\"Int16\",name:\"y\"},{type:\"Int16\",name:\"tileUnitDistanceFromAnchor\"}]);function To(t,e,r){var n=e.layout.get(\"text-transform\").evaluate(r);return\"uppercase\"===n?t=t.toLocaleUpperCase():\"lowercase\"===n&&(t=t.toLocaleLowerCase()),Vr.applyArabicShaping&&(t=Vr.applyArabicShaping(t)),t}var Oo={\"!\":\"︕\",\"#\":\"＃\",$:\"＄\",\"%\":\"％\",\"&\":\"＆\",\"(\":\"︵\",\")\":\"︶\",\"*\":\"＊\",\"+\":\"＋\",\",\":\"︐\",\"-\":\"︲\",\".\":\"・\",\"/\":\"／\",\":\":\"︓\",\";\":\"︔\",\"<\":\"︿\",\"=\":\"＝\",\">\":\"﹀\",\"?\":\"︖\",\"@\":\"＠\",\"[\":\"﹇\",\"\\\\\":\"＼\",\"]\":\"﹈\",\"^\":\"＾\",_:\"︳\",\"`\":\"｀\",\"{\":\"︷\",\"|\":\"―\",\"}\":\"︸\",\"~\":\"～\",\"¢\":\"￠\",\"£\":\"￡\",\"¥\":\"￥\",\"¦\":\"￤\",\"¬\":\"￢\",\"¯\":\"￣\",\"–\":\"︲\",\"—\":\"︱\",\"‘\":\"﹃\",\"’\":\"﹄\",\"“\":\"﹁\",\"”\":\"﹂\",\"…\":\"︙\",\"‧\":\"・\",\"₩\":\"￦\",\"、\":\"︑\",\"。\":\"︒\",\"〈\":\"︿\",\"〉\":\"﹀\",\"《\":\"︽\",\"》\":\"︾\",\"「\":\"﹁\",\"」\":\"﹂\",\"『\":\"﹃\",\"』\":\"﹄\",\"【\":\"︻\",\"】\":\"︼\",\"〔\":\"︹\",\"〕\":\"︺\",\"〖\":\"︗\",\"〗\":\"︘\",\"！\":\"︕\",\"（\":\"︵\",\"）\":\"︶\",\"，\":\"︐\",\"－\":\"︲\",\"．\":\"・\",\"：\":\"︓\",\"；\":\"︔\",\"＜\":\"︿\",\"＞\":\"﹀\",\"？\":\"︖\",\"［\":\"﹇\",\"］\":\"﹈\",\"＿\":\"︳\",\"｛\":\"︷\",\"｜\":\"―\",\"｝\":\"︸\",\"｟\":\"︵\",\"｠\":\"︶\",\"｡\":\"︒\",\"｢\":\"﹁\",\"｣\":\"﹂\"};var Lo=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(s);function jo(t,e){var r=e.expression;if(\"constant\"===r.kind)return{functionType:\"constant\",layoutSize:r.evaluate(new Br(t+1))};if(\"source\"===r.kind)return{functionType:\"source\"};for(var n=r.zoomStops,i=0;i<n.length&&n[i]<=t;)i++;for(var o=i=Math.max(0,i-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var a={min:n[i],max:n[o]};return\"composite\"===r.kind?{functionType:\"composite\",zoomRange:a,propertyValue:e.value}:{functionType:\"camera\",layoutSize:r.evaluate(new Br(t+1)),zoomRange:a,sizeRange:{min:r.evaluate(new Br(a.min)),max:r.evaluate(new Br(a.max))},propertyValue:e.value}}hr(\"Anchor\",Lo);var qo=vo.VectorTileFeature.types,Ro=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Uo(t,e,r,n,i,o,a,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),o,a,s?s[0]:0,s?s[1]:0);}function Do(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r);}var No=function(t){this.layoutVertexArray=new Qr,this.indexArray=new pn,this.programConfigurations=t,this.segments=new zn,this.dynamicLayoutVertexArray=new tn,this.opacityVertexArray=new en,this.placedSymbolArray=new mn;};No.prototype.upload=function(t,e){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Co.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.programConfigurations.upload(t),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Io.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,Ro,!0),this.opacityVertexBuffer.itemSize=1;},No.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy());},hr(\"SymbolBuffers\",No);var Zo=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new zn,this.collisionVertexArray=new on;};Zo.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Eo.members,!0);},Zo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy());},hr(\"CollisionBuffers\",Zo);var Ko=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=jo(this.zoom,e[\"text-size\"]),this.iconSizeData=jo(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout;this.sortFeaturesByY=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\");};Ko.prototype.createArrays=function(){this.text=new No(new En(Co.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new No(new En(Co.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new Zo(nn,Fo.members,cn),this.collisionCircle=new Zo(nn,Po.members,pn),this.glyphOffsetArray=new xn,this.lineVertexArray=new wn;},Ko.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,i=n.get(\"text-font\"),o=n.get(\"text-field\"),a=n.get(\"icon-image\"),s=(\"constant\"!==o.value.kind||o.value.value.length>0)&&(\"constant\"!==i.value.kind||i.value.value.length>0),u=\"constant\"!==a.value.kind||a.value.value&&a.value.value.length>0;if(this.features=[],s||u){for(var l=e.iconDependencies,p=e.glyphDependencies,c=new Br(this.zoom),h=0,f=t;h<f.length;h+=1){var y=f[h],d=y.feature,v=y.index,m=y.sourceLayerIndex;if(r._featureFilter(c,d)){var g=void 0;s&&(g=To(g=r.getValueAndResolveTokens(\"text-field\",d),r,d));var x=void 0;if(u&&(x=r.getValueAndResolveTokens(\"icon-image\",d)),g||x){var b={text:g,icon:x,index:v,sourceLayerIndex:m,geometry:Ln(d),properties:d.properties,type:qo[d.type]};if(void 0!==d.id&&(b.id=d.id),this.features.push(b),x&&(l[x]=!0),g)for(var w=i.evaluate(d).join(\",\"),_=p[w]=p[w]||{},A=\"map\"===n.get(\"text-rotation-alignment\")&&\"line\"===n.get(\"symbol-placement\"),k=gr(g),z=0;z<g.length;z++)if(_[g.charCodeAt(z)]=!0,A&&k){var S=Oo[g.charAt(z)];S&&(_[S.charCodeAt(0)]=!0);}}}}\"line\"===n.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function o(e){n.push(t[e]),i++;}function a(t,e,i){var o=r[t];return delete r[t],r[e]=o,n[o].geometry[0].pop(),n[o].geometry[0]=n[o].geometry[0].concat(i[0]),o}function s(t,r,i){var o=e[r];return delete e[r],e[t]=o,n[o].geometry[0].shift(),n[o].geometry[0]=i[0].concat(n[o].geometry[0]),o}function u(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var l=0;l<t.length;l++){var p=t[l],c=p.geometry,h=p.text;if(h){var f=u(h,c),y=u(h,c,!0);if(f in r&&y in e&&r[f]!==e[y]){var d=s(f,y,c),v=a(f,y,n[d].geometry);delete e[f],delete r[y],r[u(h,n[v].geometry,!0)]=v,n[d].geometry=null;}else f in r?a(f,y,c):y in e?s(f,y,c):(o(l),e[f]=i-1,r[y]=i-1);}else o(l);}return n.filter(function(t){return t.geometry})}(this.features));}},Ko.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Ko.prototype.upload=function(t){this.text.upload(t,this.sortFeaturesByY),this.icon.upload(t,this.sortFeaturesByY),this.collisionBox.upload(t),this.collisionCircle.upload(t);},Ko.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy();},Ko.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),o={},a=t.segment+1;a<e.length;a++)o[a]={x:e[a].x,y:e[a].y,tileUnitDistanceFromAnchor:n},a<e.length-1&&(n+=e[a+1].dist(e[a]));for(var s=t.segment||0;s>=0;s--)o[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var u=0;u<e.length;u++){var l=o[u];this.lineVertexArray.emplaceBack(l.x,l.y,l.tileUnitDistanceFromAnchor);}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Ko.prototype.addSymbols=function(t,e,r,n,i,o,a,s,u,l){for(var p=t.indexArray,c=t.layoutVertexArray,h=t.dynamicLayoutVertexArray,f=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray),y=this.glyphOffsetArray.length,d=f.vertexLength,v=0,m=e;v<m.length;v+=1){var g=m[v],x=g.tl,b=g.tr,w=g.bl,_=g.br,A=g.tex,k=f.vertexLength,z=g.glyphOffset[1];Uo(c,s.x,s.y,x.x,z+x.y,A.x,A.y,r),Uo(c,s.x,s.y,b.x,z+b.y,A.x+A.w,A.y,r),Uo(c,s.x,s.y,w.x,z+w.y,A.x,A.y+A.h,r),Uo(c,s.x,s.y,_.x,z+_.y,A.x+A.w,A.y+A.h,r),Do(h,s,0),p.emplaceBack(k,k+1,k+2),p.emplaceBack(k+1,k+2,k+3),f.vertexLength+=4,f.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(g.glyphOffset[0]);}t.placedSymbolArray.emplaceBack(s.x,s.y,y,this.glyphOffsetArray.length-y,d,u,l,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],a,!1),t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,o);},Ko.prototype._addCollisionDebugVertex=function(t,e,r,n,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n.x,n.y,Math.round(i.x),Math.round(i.y))},Ko.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,a,u){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),p=l.vertexLength,c=i.layoutVertexArray,h=i.collisionVertexArray;if(this._addCollisionDebugVertex(c,h,o,a.anchor,new s(t,e)),this._addCollisionDebugVertex(c,h,o,a.anchor,new s(r,e)),this._addCollisionDebugVertex(c,h,o,a.anchor,new s(r,n)),this._addCollisionDebugVertex(c,h,o,a.anchor,new s(t,n)),l.vertexLength+=4,u){var f=i.indexArray;f.emplaceBack(p,p+1,p+2),f.emplaceBack(p,p+2,p+3),l.primitiveLength+=2;}else{var y=i.indexArray;y.emplaceBack(p,p+1),y.emplaceBack(p+1,p+2),y.emplaceBack(p+2,p+3),y.emplaceBack(p+3,p),l.primitiveLength+=4;}},Ko.prototype.generateCollisionDebugBuffers=function(){for(var t=0,e=this.symbolInstances;t<e.length;t+=1){var r=e[t];r.textCollisionFeature={boxStartIndex:r.textBoxStartIndex,boxEndIndex:r.textBoxEndIndex},r.iconCollisionFeature={boxStartIndex:r.iconBoxStartIndex,boxEndIndex:r.iconBoxEndIndex};for(var n=0;n<2;n++){var i=r[0===n?\"textCollisionFeature\":\"iconCollisionFeature\"];if(i)for(var o=i.boxStartIndex;o<i.boxEndIndex;o++){var a=this.collisionBoxArray.get(o),s=a.x1,u=a.y1,l=a.x2,p=a.y2,c=a.radius>0;this.addCollisionDebugVertices(s,u,l,p,c?this.collisionCircle:this.collisionBox,a.anchorPoint,r,c);}}}},Ko.prototype.deserializeCollisionBoxes=function(t,e,r,n,i){for(var o={},a=e;a<r;a++){var s=t.get(a);if(0===s.radius){o.textBox={x1:s.x1,y1:s.y1,x2:s.x2,y2:s.y2,anchorPointX:s.anchorPointX,anchorPointY:s.anchorPointY},o.textFeatureIndex=s.featureIndex;break}o.textCircles||(o.textCircles=[],o.textFeatureIndex=s.featureIndex);o.textCircles.push(s.anchorPointX,s.anchorPointY,s.radius,s.signedDistanceFromAnchor,1);}for(var u=n;u<i;u++){var l=t.get(u);if(0===l.radius){o.iconBox={x1:l.x1,y1:l.y1,x2:l.x2,y2:l.y2,anchorPointX:l.anchorPointX,anchorPointY:l.anchorPointY},o.iconFeatureIndex=l.featureIndex;break}}return o},Ko.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ko.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ko.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Ko.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Ko.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&(this.sortedAngle=t,!(this.text.segments.get().length>1||this.icon.segments.get().length>1))){for(var r=[],n=0;n<this.symbolInstances.length;n++)r.push(n);var i=Math.sin(t),o=Math.cos(t);r.sort(function(t,r){var n=e.symbolInstances[t],a=e.symbolInstances[r];return(i*n.anchor.x+o*n.anchor.y|0)-(i*a.anchor.x+o*a.anchor.y|0)||a.featureIndex-n.featureIndex}),this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var a=0,s=r;a<s.length;a+=1){var u=s[a],l=e.symbolInstances[u];e.featureSortOrder.push(l.featureIndex);for(var p=0,c=l.placedTextSymbolIndices;p<c.length;p+=1)for(var h=c[p],f=e.text.placedSymbolArray.get(h),y=f.vertexStartIndex+4*f.numGlyphs,d=f.vertexStartIndex;d<y;d+=4)e.text.indexArray.emplaceBack(d,d+1,d+2),e.text.indexArray.emplaceBack(d+1,d+2,d+3);var v=e.icon.placedSymbolArray.get(u);if(v.numGlyphs){var m=v.vertexStartIndex;e.icon.indexArray.emplaceBack(m,m+1,m+2),e.icon.indexArray.emplaceBack(m+1,m+2,m+3);}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray);}},hr(\"SymbolBucket\",Ko,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"],shallow:[\"symbolInstances\"]}),Ko.MAX_GLYPHS=65535,Ko.addDynamicAttributes=Do;var Jo=new Dr({\"symbol-placement\":new jr(E.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new jr(E.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new jr(E.layout_symbol[\"symbol-avoid-edges\"]),\"icon-allow-overlap\":new jr(E.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new jr(E.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new jr(E.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new jr(E.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new qr(E.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new jr(E.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new jr(E.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new qr(E.layout_symbol[\"icon-image\"]),\"icon-rotate\":new qr(E.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new jr(E.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new jr(E.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new qr(E.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new qr(E.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new jr(E.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new jr(E.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new jr(E.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new qr(E.layout_symbol[\"text-field\"]),\"text-font\":new qr(E.layout_symbol[\"text-font\"]),\"text-size\":new qr(E.layout_symbol[\"text-size\"]),\"text-max-width\":new qr(E.layout_symbol[\"text-max-width\"]),\"text-line-height\":new jr(E.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new qr(E.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new qr(E.layout_symbol[\"text-justify\"]),\"text-anchor\":new qr(E.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new jr(E.layout_symbol[\"text-max-angle\"]),\"text-rotate\":new qr(E.layout_symbol[\"text-rotate\"]),\"text-padding\":new jr(E.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new jr(E.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new qr(E.layout_symbol[\"text-transform\"]),\"text-offset\":new qr(E.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new jr(E.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new jr(E.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new jr(E.layout_symbol[\"text-optional\"])}),$o={paint:new Dr({\"icon-opacity\":new qr(E.paint_symbol[\"icon-opacity\"]),\"icon-color\":new qr(E.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new qr(E.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new qr(E.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new qr(E.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new jr(E.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new jr(E.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new qr(E.paint_symbol[\"text-opacity\"]),\"text-color\":new qr(E.paint_symbol[\"text-color\"]),\"text-halo-color\":new qr(E.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new qr(E.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new qr(E.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new jr(E.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new jr(E.paint_symbol[\"text-translate-anchor\"])}),layout:Jo},Ho=function(t){function e(e){t.call(this,e,$o);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"line\"===this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"line\"===this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\"));},e.prototype.getValueAndResolveTokens=function(t,e){var r,n=this.layout.get(t).evaluate(e),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||be(i.value)?n:(r=e.properties,n.replace(/{([^{}]+)}/g,function(t,e){return e in r?String(r[e]):\"\"}))},e.prototype.createBucket=function(t){return new Ko(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e}(Nr),Xo={paint:new Dr({\"background-color\":new jr(E.paint_background[\"background-color\"]),\"background-pattern\":new Rr(E.paint_background[\"background-pattern\"]),\"background-opacity\":new jr(E.paint_background[\"background-opacity\"])})},Go=function(t){function e(e){t.call(this,e,Xo);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Nr),Yo={paint:new Dr({\"raster-opacity\":new jr(E.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new jr(E.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new jr(E.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new jr(E.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new jr(E.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new jr(E.paint_raster[\"raster-contrast\"]),\"raster-fade-duration\":new jr(E.paint_raster[\"raster-fade-duration\"])})},Wo={circle:ni,heatmap:fi,hillshade:di,fill:Yi,\"fill-extrusion\":oo,line:Vo,symbol:Ho,background:Go,raster:function(t){function e(e){t.call(this,e,Yo);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Nr)};var Qo=n(function(t,e){t.exports=function(){function t(t,e,r){r=r||{},this.w=t||64,this.h=e||64,this.autoResize=!!r.autoResize,this.shelves=[],this.freebins=[],this.stats={},this.bins={},this.maxId=0;}function e(t,e,r){this.x=0,this.y=t,this.w=this.free=e,this.h=r;}return t.prototype.pack=function(t,e){t=[].concat(t),e=e||{};for(var r,n,i,o,a=[],s=0;s<t.length;s++)if(r=t[s].w||t[s].width,n=t[s].h||t[s].height,i=t[s].id,r&&n){if(!(o=this.packOne(r,n,i)))continue;e.inPlace&&(t[s].x=o.x,t[s].y=o.y,t[s].id=o.id),a.push(o);}return this.shrink(),a},t.prototype.packOne=function(t,r,n){var i,o,a,s,u,l,p,c,h={freebin:-1,shelf:-1,waste:1/0},f=0;if(\"string\"==typeof n||\"number\"==typeof n){if(i=this.getBin(n))return this.ref(i),i;\"number\"==typeof n&&(this.maxId=Math.max(n,this.maxId));}else n=++this.maxId;for(s=0;s<this.freebins.length;s++){if(r===(i=this.freebins[s]).maxh&&t===i.maxw)return this.allocFreebin(s,t,r,n);r>i.maxh||t>i.maxw||r<=i.maxh&&t<=i.maxw&&(a=i.maxw*i.maxh-t*r)<h.waste&&(h.waste=a,h.freebin=s);}for(s=0;s<this.shelves.length;s++)if(f+=(o=this.shelves[s]).h,!(t>o.free)){if(r===o.h)return this.allocShelf(s,t,r,n);r>o.h||r<o.h&&(a=(o.h-r)*t)<h.waste&&(h.freebin=-1,h.waste=a,h.shelf=s);}return-1!==h.freebin?this.allocFreebin(h.freebin,t,r,n):-1!==h.shelf?this.allocShelf(h.shelf,t,r,n):r<=this.h-f&&t<=this.w?(o=new e(f,this.w,r),this.allocShelf(this.shelves.push(o)-1,t,r,n)):this.autoResize?(u=l=this.h,((p=c=this.w)<=u||t>p)&&(c=2*Math.max(t,p)),(u<p||r>u)&&(l=2*Math.max(r,u)),this.resize(c,l),this.packOne(t,r,n)):null},t.prototype.allocFreebin=function(t,e,r,n){var i=this.freebins.splice(t,1)[0];return i.id=n,i.w=e,i.h=r,i.refcount=0,this.bins[n]=i,this.ref(i),i},t.prototype.allocShelf=function(t,e,r,n){var i=this.shelves[t].alloc(e,r,n);return this.bins[n]=i,this.ref(i),i},t.prototype.shrink=function(){if(this.shelves.length>0){for(var t=0,e=0,r=0;r<this.shelves.length;r++){var n=this.shelves[r];e+=n.h,t=Math.max(n.w-n.free,t);}this.resize(t,e);}},t.prototype.getBin=function(t){return this.bins[t]},t.prototype.ref=function(t){if(1==++t.refcount){var e=t.h;this.stats[e]=1+(0|this.stats[e]);}return t.refcount},t.prototype.unref=function(t){return 0===t.refcount?0:(0==--t.refcount&&(this.stats[t.h]--,delete this.bins[t.id],this.freebins.push(t)),t.refcount)},t.prototype.clear=function(){this.shelves=[],this.freebins=[],this.stats={},this.bins={},this.maxId=0;},t.prototype.resize=function(t,e){this.w=t,this.h=e;for(var r=0;r<this.shelves.length;r++)this.shelves[r].resize(t);return!0},e.prototype.alloc=function(t,e,r){if(t>this.free||e>this.h)return null;var n=this.x;return this.x+=t,this.free-=t,new function(t,e,r,n,i,o,a){this.id=t,this.x=e,this.y=r,this.w=n,this.h=i,this.maxw=o||n,this.maxh=a||i,this.refcount=0;}(r,n,this.y,t,e,t,this.h)},e.prototype.resize=function(t){return this.free+=t-this.w,this.w=t,!0},t}();}),ta=function(t,e){var r=e.pixelRatio;this.paddedRect=t,this.pixelRatio=r;},ea={tl:{configurable:!0},br:{configurable:!0},displaySize:{configurable:!0}};ea.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},ea.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},ea.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(ta.prototype,ea);var ra=function(t){var e=new pi({width:0,height:0}),r={},n=new Qo(0,0,{autoResize:!0});for(var i in t){var o=t[i],a=n.packOne(o.data.width+2,o.data.height+2);e.resize({width:n.w,height:n.h}),pi.copy(o.data,e,{x:0,y:0},{x:a.x+1,y:a.y+1},o.data),r[i]=new ta(a,o);}n.shrink(),e.resize({width:n.w,height:n.h}),this.image=e,this.positions=r;};hr(\"ImagePosition\",ta),hr(\"ImageAtlas\",ra);var na=function(t,e,r,n,i){var 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r=0;r<t.length;r++)e.writeSFixed64(t[r]);}function xa(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function ba(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24;}function wa(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}aa.prototype={destroy:function(){this.buf=null;},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),i=n>>3,o=this.pos;this.type=7&n,t(i,e,this),this.pos===o&&this.skip(n);}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=xa(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=wa(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=xa(this.buf,this.pos)+4294967296*xa(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=xa(this.buf,this.pos)+4294967296*wa(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=na(this.buf,this.pos,!0,23,4);return 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l=e[s].minX,u=e[s].minY,h=e[s].maxX,c=e[s].maxY;l<a.minX&&(a.minX=l),u<a.minY&&(a.minY=u),h>a.maxX&&(a.maxX=h),c>a.maxY&&(a.maxY=c);}return a}function Je(e,t,i,r){var n=t.geometry,o=t.type,a=[];if(\"Point\"===o||\"MultiPoint\"===o)for(var s=0;s<n.length;s+=3)a.push(n[s]),a.push(n[s+1]),e.numPoints++,e.numSimplified++;else if(\"LineString\"===o)We(a,n,e,i,!1,!1);else if(\"MultiLineString\"===o||\"Polygon\"===o)for(s=0;s<n.length;s++)We(a,n[s],e,i,\"Polygon\"===o,0===s);else if(\"MultiPolygon\"===o)for(var l=0;l<n.length;l++){var u=n[l];for(s=0;s<u.length;s++)We(a,u[s],e,i,!0,0===s);}if(a.length){var h=t.tags||null;if(\"LineString\"===o&&r.lineMetrics){for(var c in h={},t.tags)h[c]=t.tags[c];h.mapbox_clip_start=n.start/n.size,h.mapbox_clip_end=n.end/n.size;}var f={geometry:a,type:\"Polygon\"===o||\"MultiPolygon\"===o?3:\"LineString\"===o||\"MultiLineString\"===o?2:1,tags:h};null!==t.id&&(f.id=t.id),e.features.push(f);}}function We(e,t,i,r,n,o){var a=r*r;if(r>0&&t.size<(n?a:r))i.numPoints+=t.length/3;else{for(var s=[],l=0;l<t.length;l+=3)(0===r||t[l+2]>a)&&(i.numSimplified++,s.push(t[l]),s.push(t[l+1])),i.numPoints++;n&&function(e,t){for(var i=0,r=0,n=e.length,o=n-2;r<n;o=r,r+=2)i+=(e[r]-e[o])*(e[r+1]+e[o+1]);if(i>0===t)for(r=0,n=e.length;r<n/2;r+=2){var a=e[r],s=e[r+1];e[r]=e[n-2-r],e[r+1]=e[n-1-r],e[n-2-r]=a,e[n-1-r]=s;}}(s,o),e.push(s);}}function Ye(e,t){var i=(t=this.options=function(e,t){for(var i in t)e[i]=t[i];return e}(Object.create(this.options),t)).debug;if(i&&console.time(\"preprocess data\"),t.maxZoom<0||t.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");var r=function(e,t){var i=[];if(\"FeatureCollection\"===e.type)for(var r=0;r<e.features.length;r++)_e(i,e.features[r],t);else\"Feature\"===e.type?_e(i,e,t):_e(i,{geometry:e},t);return i}(e,t);this.tiles={},this.tileCoords=[],i&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: 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Uint8Array(o)),t(null,{vectorTile:n,rawData:o.buffer});}ce.prototype={options:{minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,reduce:null,initial:function(){return{}},map:function(e){return e}},load:function(e){var t=this.options.log;t&&console.time(\"total time\");var i=\"prepare \"+e.length+\" points\";t&&console.time(i),this.points=e;var r=e.map(pe);t&&console.timeEnd(i);for(var n=this.options.maxZoom;n>=this.options.minZoom;n--){var o=+Date.now();this.trees[n+1]=ae(r,xe,we,this.options.nodeSize,Float32Array),r=this._cluster(r,n),t&&console.log(\"z%d: %d clusters in %dms\",n,r.length,+Date.now()-o);}return this.trees[this.options.minZoom]=ae(r,xe,we,this.options.nodeSize,Float32Array),t&&console.timeEnd(\"total time\"),this},getClusters:function(e,t){for(var i=this.trees[this._limitZoom(t)],r=i.range(ve(e[0]),ye(e[3]),ve(e[2]),ye(e[1])),n=[],o=0;o<r.length;o++){var a=i.points[r[o]];n.push(a.numPoints?de(a):this.points[a.id]);}return n},getChildren:function(e,t){for(var i=this.trees[t+1].points[e],r=this.options.radius/(this.options.extent*Math.pow(2,t)),n=this.trees[t+1].within(i.x,i.y,r),o=[],a=0;a<n.length;a++){var s=this.trees[t+1].points[n[a]];s.parentId===e&&o.push(s.numPoints?de(s):this.points[s.id]);}return o},getLeaves:function(e,t,i,r){i=i||10,r=r||0;var n=[];return this._appendLeaves(n,e,t,i,r,0),n},getTile:function(e,t,i){var r=this.trees[this._limitZoom(e)],n=Math.pow(2,e),o=this.options.extent,a=this.options.radius/o,s=(i-a)/n,l=(i+1+a)/n,u={features:[]};return this._addTileFeatures(r.range((t-a)/n,s,(t+1+a)/n,l),r.points,t,i,n,u),0===t&&this._addTileFeatures(r.range(1-a/n,s,1,l),r.points,n,i,n,u),t===n-1&&this._addTileFeatures(r.range(0,s,a/n,l),r.points,-1,i,n,u),u.features.length?u:null},getClusterExpansionZoom:function(e,t){for(;t<this.options.maxZoom;){var i=this.getChildren(e,t);if(t++,1!==i.length)break;e=i[0].properties.cluster_id;}return t},_appendLeaves:function(e,t,i,r,n,o){for(var a=this.getChildren(t,i),s=0;s<a.length;s++){var l=a[s].properties;if(l.cluster?o+l.point_count<=n?o+=l.point_count:o=this._appendLeaves(e,l.cluster_id,i+1,r,n,o):o<n?o++:e.push(a[s]),e.length===r)break}return o},_addTileFeatures:function(e,t,i,r,n,o){for(var a=0;a<e.length;a++){var s=t[e[a]];o.features.push({type:1,geometry:[[Math.round(this.options.extent*(s.x*n-i)),Math.round(this.options.extent*(s.y*n-r))]],tags:s.numPoints?ge(s):this.points[s.id].properties});}},_limitZoom:function(e){return Math.max(this.options.minZoom,Math.min(e,this.options.maxZoom+1))},_cluster:function(e,t){for(var i=[],r=this.options.radius/(this.options.extent*Math.pow(2,t)),n=0;n<e.length;n++){var o=e[n];if(!(o.zoom<=t)){o.zoom=t;var a=this.trees[t+1],s=a.within(o.x,o.y,r),l=o.numPoints||1,u=o.x*l,h=o.y*l,c=null;this.options.reduce&&(c=this.options.initial(),this._accumulate(c,o));for(var f=0;f<s.length;f++){var p=a.points[s[f]];if(t<p.zoom){var d=p.numPoints||1;p.zoom=t,u+=p.x*d,h+=p.y*d,l+=d,p.parentId=n,this.options.reduce&&this._accumulate(c,p);}}1===l?i.push(o):(o.parentId=n,i.push(fe(u/l,h/l,l,n,c)));}}return i},_accumulate:function(e,t){var i=t.numPoints?t.properties:this.options.map(this.points[t.id].properties);this.options.reduce(e,i);}},Ye.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,debug:0},Ye.prototype.splitTile=function(e,t,i,r,n,o,a){for(var s=[e,t,i,r],l=this.options,u=l.debug;s.length;){r=s.pop(),i=s.pop(),t=s.pop(),e=s.pop();var h=1<<t,c=Ze(t,i,r),f=this.tiles[c];if(!f&&(u>1&&console.time(\"creation\"),f=this.tiles[c]=Ve(e,t,i,r,l),this.tileCoords.push({z:t,x:i,y:r}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",t,i,r,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+t;this.stats[p]=(this.stats[p]||0)+1,this.total++;}if(f.source=e,n){if(t===l.maxZoom||t===n)continue;var d=1<<n-t;if(i!==Math.floor(o/d)||r!==Math.floor(a/d))continue}else if(t===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==e.length){u>1&&console.time(\"clipping\");var g,v,y,m,x,w,S=.5*l.buffer/l.extent,M=.5-S,b=.5+S,_=1+S;g=v=y=m=null,x=Le(e,h,i-S,i+b,0,f.minX,f.maxX,l),w=Le(e,h,i+M,i+_,0,f.minX,f.maxX,l),e=null,x&&(g=Le(x,h,r-S,r+b,1,f.minY,f.maxY,l),v=Le(x,h,r+M,r+_,1,f.minY,f.maxY,l),x=null),w&&(y=Le(w,h,r-S,r+b,1,f.minY,f.maxY,l),m=Le(w,h,r+M,r+_,1,f.minY,f.maxY,l),w=null),u>1&&console.timeEnd(\"clipping\"),s.push(g||[],t+1,2*i,2*r),s.push(v||[],t+1,2*i,2*r+1),s.push(y||[],t+1,2*i+1,2*r),s.push(m||[],t+1,2*i+1,2*r+1);}}},Ye.prototype.getTile=function(e,t,i){var r=this.options,n=r.extent,o=r.debug;if(e<0||e>24)return null;var a=1<<e,s=Ze(e,t=(t%a+a)%a,i);if(this.tiles[s])return Fe(this.tiles[s],n);o>1&&console.log(\"drilling down to z%d-%d-%d\",e,t,i);for(var l,u=e,h=t,c=i;!l&&u>0;)u--,h=Math.floor(h/2),c=Math.floor(c/2),l=this.tiles[Ze(u,h,c)];return l&&l.source?(o>1&&console.log(\"found parent tile z%d-%d-%d\",u,h,c),o>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,h,c,e,t,i),o>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?Fe(this.tiles[s],n):null):null};var Xe=function(t){function i(e,i,r){t.call(this,e,i,je),r&&(this.loadGeoJSON=r);}return t&&(i.__proto__=t),i.prototype=Object.create(t&&t.prototype),i.prototype.constructor=i,i.prototype.loadData=function(e,t){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=t,this._pendingLoadDataParams=e,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData());},i.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var t=this._pendingCallback,i=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams,this.loadGeoJSON(i,function(r,n){if(r||!n)return t(r);if(\"object\"!=typeof n)return t(new Error(\"Input data is not a valid GeoJSON object.\"));$(n,!0);try{e._geoJSONIndex=i.cluster?he(i.superclusterOptions).load(n.features):function(e,t){return new Ye(e,t)}(n,i.geojsonVtOptions);}catch(r){return t(r)}e.loaded={};var o={};if(i.request&&i.request.collectResourceTiming){var a=M(i.request.url);a&&(o.resourceTiming={},o.resourceTiming[i.source]=JSON.parse(JSON.stringify(a)));}t(null,o);});}},i.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData());},i.prototype.reloadTile=function(e,i){var r=this.loaded,n=e.uid;return r&&r[n]?t.prototype.reloadTile.call(this,e,i):this.loadTile(e,i)},i.prototype.loadGeoJSON=function(t,i){if(t.request)e.getJSON(t.request,i);else{if(\"string\"!=typeof t.data)return i(new Error(\"Input data is not a valid GeoJSON object.\"));try{return i(null,JSON.parse(t.data))}catch(e){return i(new Error(\"Input data is not a valid GeoJSON object.\"))}}},i.prototype.removeSource=function(e,t){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),t();},i}(_),qe=function(t){var i=this;this.self=t,this.actor=new e.default$7(t,this),this.layerIndexes={},this.workerSourceTypes={vector:_,geojson:Xe},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(e,t){if(i.workerSourceTypes[e])throw new Error('Worker source with name \"'+e+'\" already registered.');i.workerSourceTypes[e]=t;},this.self.registerRTLTextPlugin=function(t){if(e.plugin.isLoaded())throw new Error(\"RTL text plugin already registered.\");e.plugin.applyArabicShaping=t.applyArabicShaping,e.plugin.processBidirectionalText=t.processBidirectionalText;};};return qe.prototype.setLayers=function(e,t,i){this.getLayerIndex(e).replace(t),i();},qe.prototype.updateLayers=function(e,t,i){this.getLayerIndex(e).update(t.layers,t.removedIds),i();},qe.prototype.loadTile=function(e,t,i){this.getWorkerSource(e,t.type,t.source).loadTile(t,i);},qe.prototype.loadDEMTile=function(e,t,i){this.getDEMWorkerSource(e,t.source).loadTile(t,i);},qe.prototype.reloadTile=function(e,t,i){this.getWorkerSource(e,t.type,t.source).reloadTile(t,i);},qe.prototype.abortTile=function(e,t,i){this.getWorkerSource(e,t.type,t.source).abortTile(t,i);},qe.prototype.removeTile=function(e,t,i){this.getWorkerSource(e,t.type,t.source).removeTile(t,i);},qe.prototype.removeDEMTile=function(e,t){this.getDEMWorkerSource(e,t.source).removeTile(t);},qe.prototype.removeSource=function(e,t,i){if(this.workerSources[e]&&this.workerSources[e][t.type]&&this.workerSources[e][t.type][t.source]){var r=this.workerSources[e][t.type][t.source];delete this.workerSources[e][t.type][t.source],void 0!==r.removeSource?r.removeSource(t,i):i();}},qe.prototype.loadWorkerSource=function(e,t,i){try{this.self.importScripts(t.url),i();}catch(e){i(e.toString());}},qe.prototype.loadRTLTextPlugin=function(t,i,r){try{e.plugin.isLoaded()||(this.self.importScripts(i),r(e.plugin.isLoaded()?null:new Error(\"RTL Text Plugin failed to import scripts from \"+i)));}catch(e){r(e.toString());}},qe.prototype.getLayerIndex=function(e){var t=this.layerIndexes[e];return t||(t=this.layerIndexes[e]=new r),t},qe.prototype.getWorkerSource=function(e,t,i){var r=this;if(this.workerSources[e]||(this.workerSources[e]={}),this.workerSources[e][t]||(this.workerSources[e][t]={}),!this.workerSources[e][t][i]){var n={send:function(t,i,n){r.actor.send(t,i,n,e);}};this.workerSources[e][t][i]=new this.workerSourceTypes[t](n,this.getLayerIndex(e));}return this.workerSources[e][t][i]},qe.prototype.getDEMWorkerSource=function(e,t){return this.demWorkerSources[e]||(this.demWorkerSources[e]={}),this.demWorkerSources[e][t]||(this.demWorkerSources[e][t]=new I),this.demWorkerSources[e][t]},\"undefined\"!=typeof WorkerGlobalScope&&\"undefined\"!=typeof self&&self instanceof WorkerGlobalScope&&new qe(self),qe});\n\ndefine([\"./chunk1.js\"],function(t){\"use strict\";var e=t.createCommonjsModule(function(t){function e(t){return!!(\"undefined\"!=typeof window&&\"undefined\"!=typeof document&&Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray&&Function.prototype&&Function.prototype.bind&&Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions&&\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON&&function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,i=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(i);try{e=new Worker(n),t=!0;}catch(e){t=!1;}e&&e.terminate();return URL.revokeObjectURL(n),t}()&&\"Uint8ClampedArray\"in window&&function(t){void 0===i[t]&&(i[t]=function(t){var i=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,i.probablySupportsContext?i.probablySupportsContext(\"webgl\",n)||i.probablySupportsContext(\"experimental-webgl\",n):i.supportsContext?i.supportsContext(\"webgl\",n)||i.supportsContext(\"experimental-webgl\",n):i.getContext(\"webgl\",n)||i.getContext(\"experimental-webgl\",n)}(t));return i[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var i={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0};}),i=t.default.performance&&t.default.performance.now?t.default.performance.now.bind(t.default.performance):Date.now.bind(Date),n=t.default.requestAnimationFrame||t.default.mozRequestAnimationFrame||t.default.webkitRequestAnimationFrame||t.default.msRequestAnimationFrame,o=t.default.cancelAnimationFrame||t.default.mozCancelAnimationFrame||t.default.webkitCancelAnimationFrame||t.default.msCancelAnimationFrame,r={now:i,frame:function(t){return n(t)},cancelFrame:function(t){return o(t)},getImageData:function(e){var i=t.default.document.createElement(\"canvas\"),n=i.getContext(\"2d\");if(!n)throw new Error(\"failed to create canvas 2d context\");return i.width=e.width,i.height=e.height,n.drawImage(e,0,0,e.width,e.height),n.getImageData(0,0,e.width,e.height)},hardwareConcurrency:t.default.navigator.hardwareConcurrency||4,get devicePixelRatio(){return t.default.devicePixelRatio},supportsWebp:!1};if(t.default.document){var a=t.default.document.createElement(\"img\");a.onload=function(){r.supportsWebp=!0;},a.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\";}var s={create:function(e,i,n){var o=t.default.document.createElement(e);return i&&(o.className=i),n&&n.appendChild(o),o},createNS:function(e,i){return t.default.document.createElementNS(e,i)}},l=t.default.document?t.default.document.documentElement.style:null;function c(t){if(!l)return null;for(var e=0;e<t.length;e++)if(t[e]in l)return t[e];return t[0]}var u,h=c([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);s.disableDrag=function(){l&&h&&(u=l[h],l[h]=\"none\");},s.enableDrag=function(){l&&h&&(l[h]=u);};var p=c([\"transform\",\"WebkitTransform\"]);s.setTransform=function(t,e){t.style[p]=e;};var d=!1;try{var 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t.default$2(64,64,{autoResize:!0}),this.patterns={},this.atlasImage=new t.RGBAImage({width:64,height:64}),this.dirty=!0;};L.prototype.isLoaded=function(){return this.loaded},L.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,i=this.requestors;e<i.length;e+=1){var n=i[e],o=n.ids,r=n.callback;this._notify(o,r);}this.requestors=[];}},L.prototype.getImage=function(t){return this.images[t]},L.prototype.addImage=function(t,e){this.images[t]=e;},L.prototype.removeImage=function(t){delete this.images[t];var e=this.patterns[t];e&&(this.shelfPack.unref(e.bin),delete this.patterns[t]);},L.prototype.getImages=function(t,e){var i=!0;if(!this.isLoaded())for(var n=0,o=t;n<o.length;n+=1){var r=o[n];this.images[r]||(i=!1);}this.isLoaded()||i?this._notify(t,e):this.requestors.push({ids:t,callback:e});},L.prototype._notify=function(t,e){for(var i={},n=0,o=t;n<o.length;n+=1){var r=o[n],a=this.images[r];a&&(i[r]={data:a.data.clone(),pixelRatio:a.pixelRatio,sdf:a.sdf});}e(null,i);},L.prototype.getPixelSize=function(){return{width:this.shelfPack.w,height:this.shelfPack.h}},L.prototype.getPattern=function(e){var i=this.patterns[e];if(i)return i.position;var n=this.getImage(e);if(!n)return null;var o=n.data.width+2,r=n.data.height+2,a=this.shelfPack.packOne(o,r);if(!a)return null;this.atlasImage.resize(this.getPixelSize());var s=n.data,l=this.atlasImage,c=a.x+1,u=a.y+1,h=s.width,p=s.height;t.RGBAImage.copy(s,l,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(s,l,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(s,l,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(s,l,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(s,l,{x:0,y:0},{x:c+h,y:u},{width:1,height:p}),this.dirty=!0;var d=new t.ImagePosition(a,n);return this.patterns[e]={bin:a,position:d},d},L.prototype.bind=function(t){var e=t.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new M(t,this.atlasImage,e.RGBA),this.atlasTexture.bind(e.LINEAR,e.CLAMP_TO_EDGE);};var P=B,k=1e20;function B(t,e,i,n,o,r){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=o||\"sans-serif\",this.fontWeight=r||\"normal\",this.radius=i||8;var a=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=a,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(a*a),this.gridInner=new Float64Array(a*a),this.f=new Float64Array(a),this.d=new Float64Array(a),this.z=new Float64Array(a+1),this.v=new Int16Array(a),this.middle=Math.round(a/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1));}function O(t,e,i,n,o,r,a){for(var s=0;s<e;s++){for(var l=0;l<i;l++)n[l]=t[l*e+s];for(F(n,o,r,a,i),l=0;l<i;l++)t[l*e+s]=o[l];}for(l=0;l<i;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(F(n,o,r,a,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(o[s]);}}function F(t,e,i,n,o){i[0]=0,n[0]=-k,n[1]=+k;for(var r=1,a=0;r<o;r++){for(var s=(t[r]+r*r-(t[i[a]]+i[a]*i[a]))/(2*r-2*i[a]);s<=n[a];)a--,s=(t[r]+r*r-(t[i[a]]+i[a]*i[a]))/(2*r-2*i[a]);i[++a]=r,n[a]=s,n[a+1]=+k;}for(r=0,a=0;r<o;r++){for(;n[a+1]<r;)a++;e[r]=(r-i[a])*(r-i[a])+t[i[a]];}}B.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),i=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var o=e.data[4*n+3]/255;this.gridOuter[n]=1===o?0:0===o?k:Math.pow(Math.max(0,.5-o),2),this.gridInner[n]=1===o?k:0===o?0:Math.pow(Math.max(0,o-.5),2);}for(O(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),O(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var r=this.gridOuter[n]-this.gridInner[n];i[n]=Math.max(0,Math.min(255,Math.round(255-255*(r/this.radius+this.cutoff))));}return i};var N=function(t,e){this.requestTransform=t,this.localIdeographFontFamily=e,this.entries={};};N.prototype.setURL=function(t){this.url=t;},N.prototype.getGlyphs=function(e,i){var n=this,o=[];for(var r in e)for(var a=0,s=e[r];a<s.length;a+=1){var l=s[a];o.push({stack:r,id:l});}t.asyncAll(o,function(t,e){var i=t.stack,o=t.id,r=n.entries[i];r||(r=n.entries[i]={glyphs:{},requests:{}});var a=r.glyphs[o];if(void 0===a)if(a=n._tinySDF(r,i,o))e(null,{stack:i,id:o,glyph:a});else{var s=Math.floor(o/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else{var l=r.requests[s];l||(l=r.requests[s]=[],N.loadGlyphRange(i,s,n.url,n.requestTransform,function(t,e){if(e)for(var i in e)r.glyphs[+i]=e[+i];for(var n=0,o=l;n<o.length;n+=1){(0,o[n])(t,e);}delete r.requests[s];})),l.push(function(t,n){t?e(t):n&&e(null,{stack:i,id:o,glyph:n[o]||null});});}}else e(null,{stack:i,id:o,glyph:a});},function(t,e){if(t)i(t);else if(e){for(var n={},o=0,r=e;o<r.length;o+=1){var a=r[o],s=a.stack,l=a.id,c=a.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics};}i(null,n);}});},N.prototype._tinySDF=function(e,i,n){var o=this.localIdeographFontFamily;if(o&&(t.default$4[\"CJK Unified Ideographs\"](n)||t.default$4[\"Hangul Syllables\"](n))){var r=e.tinySDF;if(!r){var a=\"400\";/bold/i.test(i)?a=\"900\":/medium/i.test(i)?a=\"500\":/light/i.test(i)&&(a=\"200\"),r=e.tinySDF=new N.TinySDF(24,3,8,.25,o,a);}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},r.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},N.loadGlyphRange=function(e,i,n,o,r){var a=256*i,s=a+255,l=o(x(n).replace(\"{fontstack}\",e).replace(\"{range}\",a+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,i){if(e)r(e);else if(i){for(var n={},o=0,a=t.default$3(i.data);o<a.length;o+=1){var s=a[o];n[s.id]=s;}r(null,n);}});},N.TinySDF=P;var U=function(){this.specification=t.default$5.light.position;};U.prototype.possiblyEvaluate=function(e,i){return t.sphericalToCartesian(e.expression.evaluate(i))},U.prototype.interpolate=function(e,i,n){return{x:t.number(e.x,i.x,n),y:t.number(e.y,i.y,n),z:t.number(e.z,i.z,n)}};var Z=new t.Properties({anchor:new t.DataConstantProperty(t.default$5.light.anchor),position:new U,color:new t.DataConstantProperty(t.default$5.light.color),intensity:new t.DataConstantProperty(t.default$5.light.intensity)}),V=function(e){function i(i){e.call(this),this._transitionable=new t.Transitionable(Z),this.setLight(i),this._transitioning=this._transitionable.untransitioned();}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.getLight=function(){return this._transitionable.serialize()},i.prototype.setLight=function(e){if(!this._validate(t.validateLight,e))for(var i in e){var n=e[i];t.endsWith(i,\"-transition\")?this._transitionable.setTransition(i.slice(0,-\"-transition\".length),n):this._transitionable.setValue(i,n);}},i.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning);},i.prototype.hasTransition=function(){return this._transitioning.hasTransition()},i.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t);},i.prototype._validate=function(e,i){return t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:i,style:{glyphs:!0,sprite:!0},styleSpec:t.default$5})))},i}(t.Evented),j=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={};};j.prototype.getDash=function(t,e){var i=t.join(\",\")+String(e);return this.positions[i]||(this.positions[i]=this.addDash(t,e)),this.positions[i]},j.prototype.addDash=function(e,i){var n=i?7:0,o=2*n+1;if(this.nextRow+o>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var r=0,a=0;a<e.length;a++)r+=e[a];for(var s=this.width/r,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,p=this.width*h,d=c?-e[e.length-1]:0,f=e[0],m=1,_=0;_<this.width;_++){for(;f<_/s;)d=f,f+=e[m],c&&m===e.length-1&&(f+=e[0]),m++;var g=Math.abs(_-d*s),v=Math.abs(_-f*s),y=Math.min(g,v),x=m%2==1,b=void 0;if(i){var w=n?u/n*(l+1):0;if(x){var E=l-Math.abs(w);b=Math.sqrt(y*y+E*E);}else b=l-Math.sqrt(y*y+w*w);}else b=(x?1:-1)*y;this.data[3+4*(p+_)]=Math.max(0,Math.min(255,b+128));}var T={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:r};return this.nextRow+=o,this.dirty=!0,T},j.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.RGBA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data));};var $=function e(i,n){this.workerPool=i,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var o=this.workerPool.acquire(this.id),r=0;r<o.length;r++){var a=o[r],s=new e.Actor(a,n,this.id);s.name=\"Worker \"+r,this.actors.push(s);}};function G(e,i,n){var o=function(e,i){if(e)return n(e);if(i){var o=t.pick(i,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),n(null,o);}};e.url?t.getJSON(i(b(e.url),t.ResourceType.Source),o):r.frame(function(){return o(null,e)});}$.prototype.broadcast=function(e,i,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,i,n);},n);},$.prototype.send=function(t,e,i,n){return(\"number\"!=typeof n||isNaN(n))&&(n=this.currentActor=(this.currentActor+1)%this.actors.length),this.actors[n].send(t,e,i),n},$.prototype.remove=function(){this.actors.forEach(function(t){t.remove();}),this.actors=[],this.workerPool.release(this.id);},$.Actor=t.default$7;var W=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};W.prototype.wrap=function(){return new W(t.wrap(this.lng,-180,180),this.lat)},W.prototype.toArray=function(){return[this.lng,this.lat]},W.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},W.prototype.toBounds=function(t){var e=360*t/40075017,i=e/Math.cos(Math.PI/180*this.lat);return new q(new W(this.lng-i,this.lat-e),new W(this.lng+i,this.lat+e))},W.convert=function(t){if(t instanceof W)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new W(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new W(Number(t.lng),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var q=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]));};q.prototype.setNorthEast=function(t){return this._ne=t instanceof W?new W(t.lng,t.lat):W.convert(t),this},q.prototype.setSouthWest=function(t){return this._sw=t instanceof W?new W(t.lng,t.lat):W.convert(t),this},q.prototype.extend=function(t){var e,i,n=this._sw,o=this._ne;if(t instanceof W)e=t,i=t;else{if(!(t instanceof q))return Array.isArray(t)?t.every(Array.isArray)?this.extend(q.convert(t)):this.extend(W.convert(t)):this;if(e=t._sw,i=t._ne,!e||!i)return this}return n||o?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),o.lng=Math.max(i.lng,o.lng),o.lat=Math.max(i.lat,o.lat)):(this._sw=new W(e.lng,e.lat),this._ne=new W(i.lng,i.lat)),this},q.prototype.getCenter=function(){return new W((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},q.prototype.getSouthWest=function(){return this._sw},q.prototype.getNorthEast=function(){return this._ne},q.prototype.getNorthWest=function(){return new W(this.getWest(),this.getNorth())},q.prototype.getSouthEast=function(){return new W(this.getEast(),this.getSouth())},q.prototype.getWest=function(){return this._sw.lng},q.prototype.getSouth=function(){return this._sw.lat},q.prototype.getEast=function(){return this._ne.lng},q.prototype.getNorth=function(){return this._ne.lat},q.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},q.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},q.prototype.isEmpty=function(){return!(this._sw&&this._ne)},q.convert=function(t){return!t||t instanceof q?t:new q(t)};var X=function(t,e,i){this.bounds=q.convert(this.validateBounds(t)),this.minzoom=e||0,this.maxzoom=i||24;};X.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},X.prototype.contains=function(t){var e=Math.floor(this.lngX(this.bounds.getWest(),t.z)),i=Math.floor(this.latY(this.bounds.getNorth(),t.z)),n=Math.ceil(this.lngX(this.bounds.getEast(),t.z)),o=Math.ceil(this.latY(this.bounds.getSouth(),t.z));return t.x>=e&&t.x<n&&t.y>=i&&t.y<o},X.prototype.lngX=function(t,e){return(t+180)*(Math.pow(2,e)/360)},X.prototype.latY=function(e,i){var n=t.clamp(Math.sin(Math.PI/180*e),-.9999,.9999),o=Math.pow(2,i)/(2*Math.PI);return Math.pow(2,i-1)+.5*Math.log((1+n)/(1-n))*-o};var H=function(e){function i(i,n,o,r){if(e.call(this),this.id=i,this.dispatcher=o,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(r);}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),G(this._options,this.map._transformRequest,function(i,n){i?e.fire(new t.ErrorEvent(i)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new X(n.bounds,e.minzoom,e.maxzoom)),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})));});},i.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},i.prototype.onAdd=function(t){this.map=t,this.load();},i.prototype.serialize=function(){return t.extend({},this._options)},i.prototype.loadTile=function(e,i){var n=T(e.tileID.canonical.url(this.tiles,this.scheme),this.url),o={request:this.map._transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:r.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};function a(t,n){return e.aborted?i(null):t?i(t):(n&&n.resourceTiming&&(e.resourceTiming=n.resourceTiming),this.map._refreshExpiredTiles&&e.setExpiryData(n),e.loadVectorData(n,this.map.painter),i(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}o.request.collectResourceTiming=this._collectResourceTiming,void 0===e.workerID||\"expired\"===e.state?e.workerID=this.dispatcher.send(\"loadTile\",o,a.bind(this)):\"loading\"===e.state?e.reloadCallback=i:this.dispatcher.send(\"reloadTile\",o,a.bind(this),e.workerID);},i.prototype.abortTile=function(t){this.dispatcher.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0,t.workerID);},i.prototype.unloadTile=function(t){t.unloadVectorData(),this.dispatcher.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0,t.workerID);},i.prototype.hasTransition=function(){return!1},i}(t.Evented),K=function(e){function i(i,n,o,r){e.call(this),this.id=i,this.dispatcher=o,this.setEventedParent(r),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]));}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),G(this._options,this.map._transformRequest,function(i,n){i?e.fire(new t.ErrorEvent(i)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new X(n.bounds,e.minzoom,e.maxzoom)),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})));});},i.prototype.onAdd=function(t){this.map=t,this.load();},i.prototype.serialize=function(){return t.extend({},this._options)},i.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},i.prototype.loadTile=function(e,i){var n=this,o=T(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._transformRequest(o,t.ResourceType.Tile),function(t,o){if(delete e.request,e.aborted)e.state=\"unloaded\",i(null);else if(t)e.state=\"errored\",i(t);else if(o){n.map._refreshExpiredTiles&&e.setExpiryData(o),delete o.cacheControl,delete o.expires;var r=n.map.painter.context,a=r.gl;e.texture=n.map.painter.getTileTexture(o.width),e.texture?e.texture.update(o,{useMipmap:!0}):(e.texture=new M(r,o,a.RGBA,{useMipmap:!0}),e.texture.bind(a.LINEAR,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),r.extTextureFilterAnisotropic&&a.texParameterf(a.TEXTURE_2D,r.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,r.extTextureFilterAnisotropicMax)),e.state=\"loaded\",i(null);}});},i.prototype.abortTile=function(t,e){t.request&&(t.request.abort(),delete t.request),e();},i.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e();},i.prototype.hasTransition=function(){return!1},i}(t.Evented),Y=function(e){function i(i,n,o,r){e.call(this,i,n,o,r),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({},n),this.encoding=n.encoding||\"mapbox\";}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},i.prototype.loadTile=function(e,i){var n=T(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._transformRequest(n,t.ResourceType.Tile),function(t,n){if(delete e.request,e.aborted)e.state=\"unloaded\",i(null);else if(t)e.state=\"errored\",i(t);else if(n){this.map._refreshExpiredTiles&&e.setExpiryData(n),delete n.cacheControl,delete n.expires;var o=r.getImageData(n),a={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.workerID&&\"expired\"!==e.state||(e.workerID=this.dispatcher.send(\"loadDEMTile\",a,function(t,n){t&&(e.state=\"errored\",i(t));n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",i(null));}.bind(this)));}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID);},i.prototype._getNeighboringTiles=function(e){var i=e.canonical,n=Math.pow(2,i.z),o=(i.x-1+n)%n,r=0===i.x?e.wrap-1:e.wrap,a=(i.x+1+n)%n,s=i.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,r,i.z,o,i.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,i.z,a,i.y).key]={backfilled:!1},i.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,r,i.z,o,i.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,i.z,i.x,i.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,i.z,a,i.y-1).key]={backfilled:!1}),i.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,r,i.z,o,i.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,i.z,i.x,i.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,i.z,a,i.y+1).key]={backfilled:!1}),l},i.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",this.dispatcher.send(\"removeDEMTile\",{uid:t.uid,source:this.id},void 0,t.workerID);},i}(K),J=function(e){function i(i,n,o,r){e.call(this),this.id=i,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this.dispatcher=o,this.setEventedParent(r),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type);var a=t.default$8/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*a,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*a,extent:t.default$8,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.default$8,radius:(n.clusterRadius||50)*a,log:!1}},n.workerOptions);}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(i){if(i)e.fire(new t.ErrorEvent(i));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n));}});},i.prototype.onAdd=function(t){this.map=t,this.load();},i.prototype.setData=function(e){var i=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(e){if(e)return i.fire(new t.ErrorEvent(e));var n={dataType:\"source\",sourceDataType:\"content\"};i._collectResourceTiming&&i._resourceTiming&&i._resourceTiming.length>0&&(n.resourceTiming=i._resourceTiming,i._resourceTiming=[]),i.fire(new t.Event(\"data\",n));}),this},i.prototype._updateWorkerData=function(e){var i,n,o=this,r=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(r.request=this.map._transformRequest((i=a,(n=t.default.document.createElement(\"a\")).href=i,n.href),t.ResourceType.Source),r.request.collectResourceTiming=this._collectResourceTiming):r.data=JSON.stringify(a),this.workerID=this.dispatcher.send(this.type+\".\"+r.source+\".loadData\",r,function(t,i){o._removed||i&&i.abandoned||(o._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[o.id]&&(o._resourceTiming=i.resourceTiming[o.id].slice(0)),o.dispatcher.send(o.type+\".\"+r.source+\".coalesce\",null,null,o.workerID),e(t));},this.workerID);},i.prototype.loadTile=function(t,e){var i=this,n=void 0===t.workerID?\"loadTile\":\"reloadTile\",o={type:this.type,uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:r.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(n,o,function(o,r){return t.unloadVectorData(),t.aborted?e(null):o?e(o):(t.loadVectorData(r,i.map.painter,\"reloadTile\"===n),e(null))},this.workerID);},i.prototype.abortTile=function(t){t.aborted=!0;},i.prototype.unloadTile=function(t){t.unloadVectorData(),this.dispatcher.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},null,t.workerID);},i.prototype.onRemove=function(){this._removed=!0,this.dispatcher.send(\"removeSource\",{type:this.type,source:this.id},null,this.workerID);},i.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},i.prototype.hasTransition=function(){return!1},i}(t.Evented);var Q=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),tt=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null;};tt.prototype.bind=function(t,e,i,n,o,r,a,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==i||l||this.boundIndexBuffer!==o||this.boundVertexOffset!==r||this.boundDynamicVertexBuffer!==a||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,i,n,o,r,a,s):(t.bindVertexArrayOES.set(this.vao),a&&a.bind(),o&&o.dynamicDraw&&o.bind(),s&&s.bind());},tt.prototype.freshBind=function(t,e,i,n,o,r,a){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=i,this.boundIndexBuffer=n,this.boundVertexOffset=o,this.boundDynamicVertexBuffer=r,this.boundDynamicVertexBuffer2=a;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h);}e.enableAttributes(u,t);for(var p=0,d=i;p<d.length;p+=1){d[p].enableAttributes(u,t);}r&&r.enableAttributes(u,t),a&&a.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,o);for(var f=0,m=i;f<m.length;f+=1){var _=m[f];_.bind(),_.setVertexAttribPointers(u,t,o);}r&&(r.bind(),r.setVertexAttribPointers(u,t,o)),n&&n.bind(),a&&(a.bind(),a.setVertexAttribPointers(u,t,o)),c.currentNumAttributes=l;},tt.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null);};var et=function(e){function i(t,i,n,o){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=i.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this.setEventedParent(o),this.options=i;}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._transformRequest(this.url,t.ResourceType.Image),function(i,n){i?e.fire(new t.ErrorEvent(i)):n&&(e.image=r.getImageData(n),e._finishLoading());});},i.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})));},i.prototype.onAdd=function(t){this.map=t,this.load();},i.prototype.setCoordinates=function(e){this.coordinates=e;var i=this.map,n=e.map(function(t){return i.transform.locationCoordinate(W.convert(t)).zoomTo(0)}),o=this.centerCoord=t.getCoordinatesCenter(n);o.column=Math.floor(o.column),o.row=Math.floor(o.row),this.tileID=new t.CanonicalTileID(o.zoom,o.column,o.row),this.minzoom=this.maxzoom=o.zoom;var r=n.map(function(e){var i=e.zoomTo(o.zoom);return new t.default$1(Math.round((i.column-o.column)*t.default$8),Math.round((i.row-o.row)*t.default$8))});return this._boundsArray=new t.RasterBoundsArray,this._boundsArray.emplaceBack(r[0].x,r[0].y,0,0),this._boundsArray.emplaceBack(r[1].x,r[1].y,t.default$8,0),this._boundsArray.emplaceBack(r[3].x,r[3].y,0,t.default$8),this._boundsArray.emplaceBack(r[2].x,r[2].y,t.default$8,t.default$8),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},i.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var t=this.map.painter.context,e=t.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,Q.members)),this.boundsVAO||(this.boundsVAO=new tt),this.texture||(this.texture=new M(t,this.image,e.RGBA),this.texture.bind(e.LINEAR,e.CLAMP_TO_EDGE)),this.tiles){var n=this.tiles[i];\"loaded\"!==n.state&&(n.state=\"loaded\",n.texture=this.texture);}}},i.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null));},i.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},i.prototype.hasTransition=function(){return!1},i}(t.Evented),it=function(e){function i(t,i,n,o){e.call(this,t,i,n,o),this.roundZoom=!0,this.type=\"video\",this.options=i;}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.load=function(){var e=this,i=this.options;this.urls=[];for(var n=0,o=i.urls;n<o.length;n+=1){var r=o[n];e.urls.push(e.map._transformRequest(r,t.ResourceType.Source).url);}t.getVideo(this.urls,function(i,n){i?e.fire(new t.ErrorEvent(i)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",function(){e.map._rerender();}),e.map&&e.video.play(),e._finishLoading());});},i.prototype.getVideo=function(){return this.video},i.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)));},i.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var t=this.map.painter.context,e=t.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,Q.members)),this.boundsVAO||(this.boundsVAO=new tt),this.texture?this.video.paused||(this.texture.bind(e.LINEAR,e.CLAMP_TO_EDGE),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.video)):(this.texture=new M(t,this.video,e.RGBA),this.texture.bind(e.LINEAR,e.CLAMP_TO_EDGE)),this.tiles){var n=this.tiles[i];\"loaded\"!==n.state&&(n.state=\"loaded\",n.texture=this.texture);}}},i.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},i.prototype.hasTransition=function(){return this.video&&!this.video.paused},i}(et),nt=function(e){function i(i,n,o,r){e.call(this,i,n,o,r),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some(function(t){return!Array.isArray(t)||2!==t.length||t.some(function(t){return\"number\"!=typeof t})})||this.fire(new t.ErrorEvent(new t.default$9(\"sources.\"+i,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.default$9(\"sources.\"+i,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.default$9(\"sources.\"+i,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.default.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.default$9(\"sources.\"+i,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.default$9(\"sources.\"+i,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate;}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.load=function(){this.canvas||(this.canvas=this.options.canvas instanceof t.default.HTMLCanvasElement?this.options.canvas:t.default.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map._rerender();},this.pause=function(){this._playing=!1;},this._finishLoading());},i.prototype.getCanvas=function(){return this.canvas},i.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play();},i.prototype.onRemove=function(){this.pause();},i.prototype.prepare=function(){var t=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,t=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,t=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var e=this.map.painter.context,i=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,Q.members)),this.boundsVAO||(this.boundsVAO=new tt),this.texture?t?this.texture.update(this.canvas):this._playing&&(this.texture.bind(i.LINEAR,i.CLAMP_TO_EDGE),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,this.canvas)):(this.texture=new M(e,this.canvas,i.RGBA),this.texture.bind(i.LINEAR,i.CLAMP_TO_EDGE)),this.tiles){var o=this.tiles[n];\"loaded\"!==o.state&&(o.state=\"loaded\",o.texture=this.texture);}}},i.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},i.prototype.hasTransition=function(){return this._playing},i.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var i=e[t];if(isNaN(i)||i<=0)return!0}return!1},i}(et),ot={vector:H,raster:K,\"raster-dem\":Y,geojson:J,video:it,image:et,canvas:nt},rt=function(e,i,n,o){var r=new ot[i.type](e,i,n,o);if(r.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+r.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],r),r};function at(t,e,i,n,o){var r=o.maxPitchScaleFactor(),a=t.tilesIn(i,r);a.sort(st);for(var s=[],l=0,c=a;l<c.length;l+=1){var u=c[l];s.push({wrappedTileID:u.tileID.wrapped().key,queryResults:u.tile.queryRenderedFeatures(e,u.queryGeometry,u.scale,n,o,r,t.transform.calculatePosMatrix(u.tileID.toUnwrapped()))});}return function(t){for(var e={},i={},n=0,o=t;n<o.length;n+=1){var r=o[n],a=r.queryResults,s=r.wrappedTileID,l=i[s]=i[s]||{};for(var c in a)for(var u=a[c],h=l[c]=l[c]||{},p=e[c]=e[c]||[],d=0,f=u;d<f.length;d+=1){var m=f[d];h[m.featureIndex]||(h[m.featureIndex]=!0,p.push(m.feature));}}return e}(s)}function st(t,e){var i=t.tileID,n=e.tileID;return i.overscaledZ-n.overscaledZ||i.canonical.y-n.canonical.y||i.wrap-n.wrap||i.canonical.x-n.canonical.x}var lt=function(e,i){this.tileID=e,this.uid=t.uniqueId(),this.uses=0,this.tileSize=i,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.expiredRequestCount=0,this.state=\"loading\";};lt.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<r.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e);},lt.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},lt.prototype.loadVectorData=function(e,i,n){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",e){if(e.featureIndex&&(this.latestFeatureIndex=e.featureIndex,e.rawTileData?(this.latestRawTileData=e.rawTileData,this.latestFeatureIndex.rawTileData=e.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=e.collisionBoxArray,this.buckets=function(t,e){var i={};if(!e)return i;for(var n=0,o=t;n<o.length;n+=1){var r=o[n],a=r.layerIds.map(function(t){return e.getLayer(t)}).filter(Boolean);if(0!==a.length){r.layers=a;for(var s=0,l=a;s<l.length;s+=1)i[l[s].id]=r;}}return i}(e.buckets,i.style),n)for(var o in this.buckets){var r=this.buckets[o];r instanceof t.default$14&&(r.justReloaded=!0);}for(var a in this.queryPadding=0,this.buckets){var s=this.buckets[a];this.queryPadding=Math.max(this.queryPadding,i.style.getLayer(s.layerIds[0]).queryRadius(s));}e.iconAtlasImage&&(this.iconAtlasImage=e.iconAtlasImage),e.glyphAtlasImage&&(this.glyphAtlasImage=e.glyphAtlasImage);}else this.collisionBoxArray=new t.CollisionBoxArray;},lt.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.iconAtlasTexture&&this.iconAtlasTexture.destroy(),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\";},lt.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state=\"unloaded\";},lt.prototype.getBucket=function(t){return this.buckets[t.id]},lt.prototype.upload=function(t){for(var e in this.buckets){var i=this.buckets[e];i.uploaded||(i.upload(t),i.uploaded=!0);}var n=t.gl;this.iconAtlasImage&&(this.iconAtlasTexture=new M(t,this.iconAtlasImage,n.RGBA),this.iconAtlasImage=null),this.glyphAtlasImage&&(this.glyphAtlasTexture=new M(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null);},lt.prototype.queryRenderedFeatures=function(t,e,i,n,o,r,a){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:e,scale:i,tileSize:this.tileSize,posMatrix:a,transform:o,params:n,queryPadding:this.queryPadding*r},t):{}},lt.prototype.querySourceFeatures=function(e,i){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var n=this.latestFeatureIndex.loadVTLayers(),o=i?i.sourceLayer:\"\",r=n._geojsonTileLayer||n[o];if(r)for(var a=t.default$13(i&&i.filter),s={z:this.tileID.overscaledZ,x:this.tileID.canonical.x,y:this.tileID.canonical.y},l=0;l<r.length;l++){var c=r.feature(l);if(a(new t.default$16(this.tileID.overscaledZ),c)){var u=new t.default$12(c,s.z,s.x,s.y);u.tile=s,e.push(u);}}}},lt.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer);},lt.prototype.setMask=function(e,i){if(!t.default$10(this.mask,e)&&(this.mask=e,this.clearMask(),!t.default$10(e,{0:!0}))){var n=new t.RasterBoundsArray,o=new t.TriangleIndexArray;this.segments=new t.default$15,this.segments.prepareSegment(0,n,o);for(var r=Object.keys(e),a=0;a<r.length;a++){var s=e[r[a]],l=t.default$8>>s.z,c=new t.default$1(s.x*l,s.y*l),u=new t.default$1(c.x+l,c.y+l),h=this.segments.prepareSegment(4,n,o);n.emplaceBack(c.x,c.y,c.x,c.y),n.emplaceBack(u.x,c.y,u.x,c.y),n.emplaceBack(c.x,u.y,c.x,u.y),n.emplaceBack(u.x,u.y,u.x,u.y);var p=h.vertexLength;o.emplaceBack(p,p+1,p+2),o.emplaceBack(p+1,p+2,p+3),h.vertexLength+=4,h.primitiveLength+=2;}this.maskedBoundsBuffer=i.createVertexBuffer(n,Q.members),this.maskedIndexBuffer=i.createIndexBuffer(o);}},lt.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},lt.prototype.setExpiryData=function(e){var i=this.expirationTime;if(e.cacheControl){var n=t.parseCacheControl(e.cacheControl);n[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*n[\"max-age\"]);}else e.expires&&(this.expirationTime=new Date(e.expires).getTime());if(this.expirationTime){var o=Date.now(),r=!1;if(this.expirationTime>o)r=!1;else if(i)if(this.expirationTime<i)r=!0;else{var a=this.expirationTime-i;a?this.expirationTime=o+Math.max(a,3e4):r=!0;}else r=!0;r?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0;}},lt.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)};var ct=function(t,e){this.max=t,this.onRemove=e,this.reset();};ct.prototype.reset=function(){for(var t in this.data)for(var e=0,i=this.data[t];e<i.length;e+=1){var n=i[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value);}return this.data={},this.order=[],this},ct.prototype.add=function(t,e,i){var n=this,o=t.wrapped().key;void 0===this.data[o]&&(this.data[o]=[]);var r={value:e,timeout:void 0};if(void 0!==i&&(r.timeout=setTimeout(function(){n.remove(t,r);},i)),this.data[o].push(r),this.order.push(o),this.order.length>this.max){var a=this._getAndRemoveByKey(this.order[0]);a&&this.onRemove(a);}return this},ct.prototype.has=function(t){return t.wrapped().key in this.data},ct.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},ct.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},ct.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},ct.prototype.remove=function(t,e){if(!this.has(t))return this;var i=t.wrapped().key,n=void 0===e?0:this.data[i].indexOf(e),o=this.data[i][n];return this.data[i].splice(n,1),o.timeout&&clearTimeout(o.timeout),0===this.data[i].length&&delete this.data[i],this.onRemove(o.value),this.order.splice(this.order.indexOf(i),1),this},ct.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e);}return this};var ut=function(t,e,i){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(i),this.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer;};ut.prototype.unbindVAO=function(){this.context.extVertexArrayObject&&this.context.bindVertexArrayOES.set(null);},ut.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer);},ut.prototype.updateData=function(t){var e=this.context.gl;this.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer);},ut.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer);};var ht={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},pt=function(t,e,i,n){this.length=e.length,this.attributes=i,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var o=t.gl;this.buffer=o.createBuffer(),t.bindVertexBuffer.set(this.buffer),o.bufferData(o.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?o.DYNAMIC_DRAW:o.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer;};pt.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer);},pt.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer);},pt.prototype.enableAttributes=function(t,e){for(var i=0;i<this.attributes.length;i++){var n=this.attributes[i],o=e.attributes[n.name];void 0!==o&&t.enableVertexAttribArray(o);}},pt.prototype.setVertexAttribPointers=function(t,e,i){for(var n=0;n<this.attributes.length;n++){var o=this.attributes[n],r=e.attributes[o.name];void 0!==r&&t.vertexAttribPointer(r,o.components,t[ht[o.type]],!1,this.itemSize,o.offset+this.itemSize*(i||0));}},pt.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer);};var dt=function(e){this.context=e,this.current=t.default$6.transparent;};dt.prototype.get=function(){return this.current},dt.prototype.set=function(t){var e=this.current;t.r===e.r&&t.g===e.g&&t.b===e.b&&t.a===e.a||(this.context.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t);};var ft=function(t){this.context=t,this.current=1;};ft.prototype.get=function(){return this.current},ft.prototype.set=function(t){this.current!==t&&(this.context.gl.clearDepth(t),this.current=t);};var mt=function(t){this.context=t,this.current=0;};mt.prototype.get=function(){return this.current},mt.prototype.set=function(t){this.current!==t&&(this.context.gl.clearStencil(t),this.current=t);};var _t=function(t){this.context=t,this.current=[!0,!0,!0,!0];};_t.prototype.get=function(){return this.current},_t.prototype.set=function(t){var e=this.current;t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]||(this.context.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t);};var gt=function(t){this.context=t,this.current=!0;};gt.prototype.get=function(){return this.current},gt.prototype.set=function(t){this.current!==t&&(this.context.gl.depthMask(t),this.current=t);};var vt=function(t){this.context=t,this.current=255;};vt.prototype.get=function(){return this.current},vt.prototype.set=function(t){this.current!==t&&(this.context.gl.stencilMask(t),this.current=t);};var yt=function(t){this.context=t,this.current={func:t.gl.ALWAYS,ref:0,mask:255};};yt.prototype.get=function(){return this.current},yt.prototype.set=function(t){var e=this.current;t.func===e.func&&t.ref===e.ref&&t.mask===e.mask||(this.context.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t);};var xt=function(t){this.context=t;var e=this.context.gl;this.current=[e.KEEP,e.KEEP,e.KEEP];};xt.prototype.get=function(){return this.current},xt.prototype.set=function(t){var e=this.current;t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]||(this.context.gl.stencilOp(t[0],t[1],t[2]),this.current=t);};var bt=function(t){this.context=t,this.current=!1;};bt.prototype.get=function(){return this.current},bt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t;}};var wt=function(t){this.context=t,this.current=[0,1];};wt.prototype.get=function(){return this.current},wt.prototype.set=function(t){var e=this.current;t[0]===e[0]&&t[1]===e[1]||(this.context.gl.depthRange(t[0],t[1]),this.current=t);};var Et=function(t){this.context=t,this.current=!1;};Et.prototype.get=function(){return this.current},Et.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t;}};var Tt=function(t){this.context=t,this.current=t.gl.LESS;};Tt.prototype.get=function(){return this.current},Tt.prototype.set=function(t){this.current!==t&&(this.context.gl.depthFunc(t),this.current=t);};var It=function(t){this.context=t,this.current=!1;};It.prototype.get=function(){return this.current},It.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t;}};var Ct=function(t){this.context=t;var e=this.context.gl;this.current=[e.ONE,e.ZERO];};Ct.prototype.get=function(){return this.current},Ct.prototype.set=function(t){var e=this.current;t[0]===e[0]&&t[1]===e[1]||(this.context.gl.blendFunc(t[0],t[1]),this.current=t);};var St=function(e){this.context=e,this.current=t.default$6.transparent;};St.prototype.get=function(){return this.current},St.prototype.set=function(t){var e=this.current;t.r===e.r&&t.g===e.g&&t.b===e.b&&t.a===e.a||(this.context.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t);};var zt=function(t){this.context=t,this.current=null;};zt.prototype.get=function(){return this.current},zt.prototype.set=function(t){this.current!==t&&(this.context.gl.useProgram(t),this.current=t);};var At=function(t){this.context=t,this.current=1;};At.prototype.get=function(){return this.current},At.prototype.set=function(e){var i=this.context.lineWidthRange,n=t.clamp(e,i[0],i[1]);this.current!==n&&(this.context.gl.lineWidth(n),this.current=e);};var Rt=function(t){this.context=t,this.current=t.gl.TEXTURE0;};Rt.prototype.get=function(){return this.current},Rt.prototype.set=function(t){this.current!==t&&(this.context.gl.activeTexture(t),this.current=t);};var Dt=function(t){this.context=t;var e=this.context.gl;this.current=[0,0,e.drawingBufferWidth,e.drawingBufferHeight];};Dt.prototype.get=function(){return this.current},Dt.prototype.set=function(t){var e=this.current;t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]||(this.context.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t);};var Mt=function(t){this.context=t,this.current=null;};Mt.prototype.get=function(){return this.current},Mt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t;}};var Lt=function(t){this.context=t,this.current=null;};Lt.prototype.get=function(){return this.current},Lt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t;}};var Pt=function(t){this.context=t,this.current=null;};Pt.prototype.get=function(){return this.current},Pt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t;}};var kt=function(t){this.context=t,this.current=null;};kt.prototype.get=function(){return this.current},kt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t;}};var Bt=function(t){this.context=t,this.current=null;};Bt.prototype.get=function(){return this.current},Bt.prototype.set=function(t){var e=this.context.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t;};var Ot=function(t){this.context=t,this.current=null;};Ot.prototype.get=function(){return this.current},Ot.prototype.set=function(t){this.current!==t&&this.context.extVertexArrayObject&&(this.context.extVertexArrayObject.bindVertexArrayOES(t),this.current=t);};var Ft=function(t){this.context=t,this.current=4;};Ft.prototype.get=function(){return this.current},Ft.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t;}};var Nt=function(t){this.context=t,this.current=!1;};Nt.prototype.get=function(){return this.current},Nt.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t;}};var Ut=function(t,e){this.context=t,this.current=null,this.parent=e;};Ut.prototype.get=function(){return this.current};var Zt=function(t){function e(e,i){t.call(this,e,i),this.dirty=!1;}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(this.dirty||this.current!==t){var e=this.context.gl;this.context.bindFramebuffer.set(this.parent),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1;}},e.prototype.setDirty=function(){this.dirty=!0;},e}(Ut),Vt=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(this.current!==t){var e=this.context.gl;this.context.bindFramebuffer.set(this.parent),e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t;}},e}(Ut),jt=function(t,e,i){this.context=t,this.width=e,this.height=i;var n=t.gl,o=this.framebuffer=n.createFramebuffer();this.colorAttachment=new Zt(t,o),this.depthAttachment=new Vt(t,o);};jt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();e&&t.deleteTexture(e);var i=this.depthAttachment.get();i&&t.deleteRenderbuffer(i),t.deleteFramebuffer(this.framebuffer);};var $t=function(t,e,i){this.func=t,this.mask=e,this.range=i;};$t.ReadOnly=!1,$t.ReadWrite=!0,$t.disabled=new $t(519,$t.ReadOnly,[0,1]);var Gt=function(t,e,i,n,o,r){this.test=t,this.ref=e,this.mask=i,this.fail=n,this.depthFail=o,this.pass=r;};Gt.disabled=new Gt({func:519,mask:0},0,0,7680,7680,7680);var Wt=function(t,e,i){this.blendFunction=t,this.blendColor=e,this.mask=i;};Wt.Replace=[1,0],Wt.disabled=new Wt(Wt.Replace,t.default$6.transparent,[!1,!1,!1,!1]),Wt.unblended=new Wt(Wt.Replace,t.default$6.transparent,[!0,!0,!0,!0]),Wt.alphaBlended=new Wt([1,771],t.default$6.transparent,[!0,!0,!0,!0]);var qt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE),this.clearColor=new dt(this),this.clearDepth=new ft(this),this.clearStencil=new mt(this),this.colorMask=new _t(this),this.depthMask=new gt(this),this.stencilMask=new vt(this),this.stencilFunc=new yt(this),this.stencilOp=new xt(this),this.stencilTest=new bt(this),this.depthRange=new wt(this),this.depthTest=new Et(this),this.depthFunc=new Tt(this),this.blend=new It(this),this.blendFunc=new Ct(this),this.blendColor=new St(this),this.program=new zt(this),this.lineWidth=new At(this),this.activeTexture=new Rt(this),this.viewport=new Dt(this),this.bindFramebuffer=new Mt(this),this.bindRenderbuffer=new Lt(this),this.bindTexture=new Pt(this),this.bindVertexBuffer=new kt(this),this.bindElementBuffer=new Bt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new Ot(this),this.pixelStoreUnpack=new Ft(this),this.pixelStoreUnpackPremultiplyAlpha=new Nt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&t.getExtension(\"OES_texture_half_float_linear\");};qt.prototype.createIndexBuffer=function(t,e){return new ut(this,t,e)},qt.prototype.createVertexBuffer=function(t,e,i){return new pt(this,t,e,i)},qt.prototype.createRenderbuffer=function(t,e,i){var n=this.gl,o=n.createRenderbuffer();return this.bindRenderbuffer.set(o),n.renderbufferStorage(n.RENDERBUFFER,t,e,i),this.bindRenderbuffer.set(null),o},qt.prototype.createFramebuffer=function(t,e){return new jt(this,t,e)},qt.prototype.clear=function(t){var e=t.color,i=t.depth,n=this.gl,o=0;e&&(o|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==i&&(o|=n.DEPTH_BUFFER_BIT,this.clearDepth.set(i),this.depthMask.set(!0)),n.clear(o);},qt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1);},qt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1);},qt.prototype.setColorMode=function(e){t.default$10(e.blendFunction,Wt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask);};var Xt=function(e){function i(t,i,n){var o=this;e.call(this),this.id=t,this.dispatcher=n,this.on(\"data\",function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(o._sourceLoaded=!0),o._sourceLoaded&&!o._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(o.reload(),o.transform&&o.update(o.transform));}),this.on(\"error\",function(){o._sourceErrored=!0;}),this._source=rt(t,i,n,this),this._tiles={},this._cache=new ct(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._isIdRenderable=this._isIdRenderable.bind(this),this._coveredTiles={};}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t);},i.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t);},i.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},i.prototype.getSource=function(){return this._source},i.prototype.pause=function(){this._paused=!0;},i.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform);}},i.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},i.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,function(){})},i.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,function(){})},i.prototype.serialize=function(){return this._source.serialize()},i.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._tiles)this._tiles[e].upload(t);},i.prototype.getIds=function(){var e=this;return Object.keys(this._tiles).map(Number).sort(function(i,n){var o=e._tiles[i].tileID,r=e._tiles[n].tileID,a=new t.default$1(o.canonical.x,o.canonical.y).rotate(e.transform.angle),s=new t.default$1(r.canonical.x,r.canonical.y).rotate(e.transform.angle);return o.overscaledZ-r.overscaledZ||s.y-a.y||s.x-a.x})},i.prototype.getRenderableIds=function(){return this.getIds().filter(this._isIdRenderable)},i.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0,{});return!!e&&this._isIdRenderable(e.tileID.key)},i.prototype._isIdRenderable=function(t){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]},i.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)this._reloadTile(t,\"reloading\");},i.prototype._reloadTile=function(t,e){var i=this._tiles[t];i&&(\"loading\"!==i.state&&(i.state=e),this._loadTile(i,this._tileLoaded.bind(this,i,t,e)));},i.prototype._tileLoaded=function(e,i,n,o){if(o)return e.state=\"errored\",void(404!==o.status?this._source.fire(new t.ErrorEvent(o,{tile:e})):this.update(this.transform));e.timeAdded=r.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(i,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID})),this.map&&(this.map.painter.tileExtentVAO.vao=null);},i.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),i=0;i<e.length;i++){var n=e[i];if(t.neighboringTiles&&t.neighboringTiles[n]){var o=this.getTileByID(n);r(t,o),r(o,t);}}function r(t,e){t.needsHillshadePrepare=!0;var i=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,o=Math.pow(2,t.tileID.canonical.z),r=e.tileID.key;0===i&&0===n||Math.abs(n)>1||(Math.abs(i)>1&&(1===Math.abs(i+o)?i+=o:1===Math.abs(i-o)&&(i-=o)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,i,n),t.neighboringTiles&&t.neighboringTiles[r]&&(t.neighboringTiles[r].backfilled=!0)));}},i.prototype.getTile=function(t){return this.getTileByID(t.key)},i.prototype.getTileByID=function(t){return this._tiles[t]},i.prototype.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},i.prototype._findLoadedChildren=function(t,e,i){var n=!1;for(var o in this._tiles){var r=this._tiles[o];if(!(i[o]||!r.hasData()||r.tileID.overscaledZ<=t.overscaledZ||r.tileID.overscaledZ>e)){var a=Math.pow(2,r.tileID.canonical.z-t.canonical.z);if(Math.floor(r.tileID.canonical.x/a)===t.canonical.x&&Math.floor(r.tileID.canonical.y/a)===t.canonical.y)for(i[o]=r.tileID,n=!0;r&&r.tileID.overscaledZ-1>t.overscaledZ;){var s=r.tileID.scaledTo(r.tileID.overscaledZ-1);if(!s)break;(r=this._tiles[s.key])&&r.hasData()&&(delete i[o],i[s.key]=s);}}}return n},i.prototype.findLoadedParent=function(t,e,i){for(var n=t.overscaledZ-1;n>=e;n--){var o=t.scaledTo(n);if(!o)return;var r=String(o.key),a=this._tiles[r];if(a&&a.hasData())return i[r]=o,a;if(this._cache.has(o))return i[r]=o,this._cache.get(o)}},i.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),i=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,i):i;this._cache.setMaxSize(n);},i.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,i=Math.round(e);if(this._prevLng=t,i){var n={};for(var o in this._tiles){var r=this._tiles[o];r.tileID=r.tileID.unwrapTo(r.tileID.wrap+i),n[r.tileID.key]=r;}for(var a in this._tiles=n,this._timers)clearTimeout(this._timers[a]),delete this._timers[a];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l);}}},i.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var o;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?o=e.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)}):(o=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(o=o.filter(function(t){return n._source.hasTile(t)}))):o=[];var a,s=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),l=Math.max(s-i.maxOverzooming,this._source.minzoom),c=Math.max(s+i.maxUnderzooming,this._source.minzoom),u=this._updateRetainedTiles(o,s),h={};if(Kt(this._source.type))for(var p=Object.keys(u),d=0;d<p.length;d++){var f=p[d],m=u[f],_=n._tiles[f];if(_&&(void 0===_.fadeEndTime||_.fadeEndTime>=r.now())){n._findLoadedChildren(m,c,u)&&(u[f]=m);var g=n.findLoadedParent(m,l,h);g&&n._addTile(g.tileID);}}for(a in h)u[a]||(n._coveredTiles[a]=!0);for(a in h)u[a]=h[a];for(var v=t.keysDifference(this._tiles,u),y=0;y<v.length;y++)n._removeTile(v[y]);}},i.prototype._updateRetainedTiles=function(t,e){for(var n={},o={},r=Math.max(e-i.maxOverzooming,this._source.minzoom),a=Math.max(e+i.maxUnderzooming,this._source.minzoom),s=0;s<t.length;s++){var l=t[s],c=this._addTile(l),u=!1;if(c.hasData())n[l.key]=l;else{u=c.wasRequested(),n[l.key]=l;var h=!0;if(e+1>this._source.maxzoom){var p=l.children(this._source.maxzoom)[0],d=this.getTile(p);d&&d.hasData()?n[p.key]=p:h=!1;}else{this._findLoadedChildren(l,a,n);for(var f=l.children(this._source.maxzoom),m=0;m<f.length;m++)if(!n[f[m].key]){h=!1;break}}if(!h)for(var _=l.overscaledZ-1;_>=r;--_){var g=l.scaledTo(_);if(o[g.key])break;if(o[g.key]=!0,!(c=this.getTile(g))&&u&&(c=this._addTile(g)),c&&(n[g.key]=g,u=c.wasRequested(),c.hasData()))break}}}return n},i.prototype._addTile=function(e){var i=this._tiles[e.key];if(i)return i;(i=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,i),i.tileID=e);var n=Boolean(i);return n||(i=new lt(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(i,this._tileLoaded.bind(this,i,e.key,i.state))),i?(i.uses++,this._tiles[e.key]=i,n||this._source.fire(new t.Event(\"dataloading\",{tile:i,coord:i.tileID,dataType:\"source\"})),i):null},i.prototype._setTileReloadTimer=function(t,e){var i=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout(function(){i._reloadTile(t,\"expired\"),delete i._timers[t];},n));},i.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))));},i.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset();},i.prototype.tilesIn=function(e,i){for(var n=[],o=this.getIds(),r=1/0,a=1/0,s=-1/0,l=-1/0,c=e[0].zoom,u=0;u<e.length;u++){var h=e[u];r=Math.min(r,h.column),a=Math.min(a,h.row),s=Math.max(s,h.column),l=Math.max(l,h.row);}for(var p=0;p<o.length;p++){var d=this._tiles[o[p]],f=d.tileID,m=Math.pow(2,this.transform.zoom-d.tileID.overscaledZ),_=i*d.queryPadding*t.default$8/d.tileSize/m,g=[Ht(f,new t.default$17(r,a,c)),Ht(f,new t.default$17(s,l,c))];if(g[0].x-_<t.default$8&&g[0].y-_<t.default$8&&g[1].x+_>=0&&g[1].y+_>=0){for(var v=[],y=0;y<e.length;y++)v.push(Ht(f,e[y]));n.push({tile:d,tileID:f,queryGeometry:[v],scale:m});}}return n},i.prototype.getVisibleCoordinates=function(){for(var t=this,e=this.getRenderableIds().map(function(e){return t._tiles[e].tileID}),i=0,n=e;i<n.length;i+=1){var o=n[i];o.posMatrix=t.transform.calculatePosMatrix(o.toUnwrapped());}return e},i.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Kt(this._source.type))for(var t in this._tiles){var e=this._tiles[t];if(void 0!==e.fadeEndTime&&e.fadeEndTime>=r.now())return!0}return!1},i}(t.Evented);function Ht(e,i){var n=i.zoomTo(e.canonical.z);return new t.default$1((n.column-(e.canonical.x+e.wrap*Math.pow(2,e.canonical.z)))*t.default$8,(n.row-e.canonical.y)*t.default$8)}function Kt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Yt(){return new t.default.Worker(Rn.workerUrl)}Xt.maxOverzooming=10,Xt.maxUnderzooming=3;var Jt,Qt=function(){this.active={};};function te(e,i){var n={};for(var o in e)\"ref\"!==o&&(n[o]=e[o]);return t.default$18.forEach(function(t){t in i&&(n[t]=i[t]);}),n}function ee(t){t=t.slice();for(var e=Object.create(null),i=0;i<t.length;i++)e[t[i].id]=t[i];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=te(t[n],e[t[n].ref]));return t}Qt.prototype.acquire=function(t){if(!this.workers){var e=Rn.workerCount;for(this.workers=[];this.workers.length<e;)this.workers.push(new Yt);}return this.active[t]=!0,this.workers.slice()},Qt.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate();}),this.workers=null);};var ie={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function ne(t,e,i){i.push({command:ie.addSource,args:[t,e[t]]});}function oe(t,e,i){e.push({command:ie.removeSource,args:[t]}),i[t]=!0;}function re(t,e,i,n){oe(t,i,n),ne(t,e,i);}function ae(e,i,n){var o;for(o in e[n])if(e[n].hasOwnProperty(o)&&\"data\"!==o&&!t.default$10(e[n][o],i[n][o]))return!1;for(o in i[n])if(i[n].hasOwnProperty(o)&&\"data\"!==o&&!t.default$10(e[n][o],i[n][o]))return!1;return!0}function se(e,i,n,o,r,a){var s;for(s in i=i||{},e=e||{})e.hasOwnProperty(s)&&(t.default$10(e[s],i[s])||n.push({command:a,args:[o,s,i[s],r]}));for(s in i)i.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.default$10(e[s],i[s])||n.push({command:a,args:[o,s,i[s],r]}));}function le(t){return t.id}function ce(t,e){return t[e.id]=e,t}function ue(e,i){if(!e)return[{command:ie.setStyle,args:[i]}];var n=[];try{if(!t.default$10(e.version,i.version))return[{command:ie.setStyle,args:[i]}];t.default$10(e.center,i.center)||n.push({command:ie.setCenter,args:[i.center]}),t.default$10(e.zoom,i.zoom)||n.push({command:ie.setZoom,args:[i.zoom]}),t.default$10(e.bearing,i.bearing)||n.push({command:ie.setBearing,args:[i.bearing]}),t.default$10(e.pitch,i.pitch)||n.push({command:ie.setPitch,args:[i.pitch]}),t.default$10(e.sprite,i.sprite)||n.push({command:ie.setSprite,args:[i.sprite]}),t.default$10(e.glyphs,i.glyphs)||n.push({command:ie.setGlyphs,args:[i.glyphs]}),t.default$10(e.transition,i.transition)||n.push({command:ie.setTransition,args:[i.transition]}),t.default$10(e.light,i.light)||n.push({command:ie.setLight,args:[i.light]});var o={},r=[];!function(e,i,n,o){var r;for(r in i=i||{},e=e||{})e.hasOwnProperty(r)&&(i.hasOwnProperty(r)||oe(r,n,o));for(r in i)i.hasOwnProperty(r)&&(e.hasOwnProperty(r)?t.default$10(e[r],i[r])||(\"geojson\"===e[r].type&&\"geojson\"===i[r].type&&ae(e,i,r)?n.push({command:ie.setGeoJSONSourceData,args:[r,i[r].data]}):re(r,i,n,o)):ne(r,i,n));}(e.sources,i.sources,r,o);var a=[];e.layers&&e.layers.forEach(function(t){o[t.source]?n.push({command:ie.removeLayer,args:[t.id]}):a.push(t);}),n=n.concat(r),function(e,i,n){i=i||[];var o,r,a,s,l,c,u,h=(e=e||[]).map(le),p=i.map(le),d=e.reduce(ce,{}),f=i.reduce(ce,{}),m=h.slice(),_=Object.create(null);for(o=0,r=0;o<h.length;o++)a=h[o],f.hasOwnProperty(a)?r++:(n.push({command:ie.removeLayer,args:[a]}),m.splice(m.indexOf(a,r),1));for(o=0,r=0;o<p.length;o++)a=p[p.length-1-o],m[m.length-1-o]!==a&&(d.hasOwnProperty(a)?(n.push({command:ie.removeLayer,args:[a]}),m.splice(m.lastIndexOf(a,m.length-r),1)):r++,c=m[m.length-o],n.push({command:ie.addLayer,args:[f[a],c]}),m.splice(m.length-o,0,a),_[a]=!0);for(o=0;o<p.length;o++)if(s=d[a=p[o]],l=f[a],!_[a]&&!t.default$10(s,l))if(t.default$10(s.source,l.source)&&t.default$10(s[\"source-layer\"],l[\"source-layer\"])&&t.default$10(s.type,l.type)){for(u in se(s.layout,l.layout,n,a,null,ie.setLayoutProperty),se(s.paint,l.paint,n,a,null,ie.setPaintProperty),t.default$10(s.filter,l.filter)||n.push({command:ie.setFilter,args:[a,l.filter]}),t.default$10(s.minzoom,l.minzoom)&&t.default$10(s.maxzoom,l.maxzoom)||n.push({command:ie.setLayerZoomRange,args:[a,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?se(s[u],l[u],n,a,u.slice(6),ie.setPaintProperty):t.default$10(s[u],l[u])||n.push({command:ie.setLayerProperty,args:[a,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?se(s[u],l[u],n,a,u.slice(6),ie.setPaintProperty):t.default$10(s[u],l[u])||n.push({command:ie.setLayerProperty,args:[a,u,l[u]]}));}else n.push({command:ie.removeLayer,args:[a]}),c=m[m.lastIndexOf(a)+1],n.push({command:ie.addLayer,args:[l,c]});}(a,i.layers,n);}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:ie.setStyle,args:[i]}];}return n}var he=function(t,e,i){var n=this.boxCells=[],o=this.circleCells=[];this.xCellCount=Math.ceil(t/i),this.yCellCount=Math.ceil(e/i);for(var r=0;r<this.xCellCount*this.yCellCount;r++)n.push([]),o.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0;};he.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},he.prototype.insert=function(t,e,i,n,o){this._forEachCell(e,i,n,o,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(i),this.bboxes.push(n),this.bboxes.push(o);},he.prototype.insertCircle=function(t,e,i,n){this._forEachCell(e-n,i-n,e+n,i+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(i),this.circles.push(n);},he.prototype._insertBoxCell=function(t,e,i,n,o,r){this.boxCells[o].push(r);},he.prototype._insertCircleCell=function(t,e,i,n,o,r){this.circleCells[o].push(r);},he.prototype._query=function(t,e,i,n,o){if(i<0||t>this.width||n<0||e>this.height)return!o&&[];var r=[];if(t<=0&&e<=0&&this.width<=i&&this.height<=n){if(o)return!0;for(var a=0;a<this.boxKeys.length;a++)r.push({key:this.boxKeys[a],x1:this.bboxes[4*a],y1:this.bboxes[4*a+1],x2:this.bboxes[4*a+2],y2:this.bboxes[4*a+3]});for(var s=0;s<this.circleKeys.length;s++){var l=this.circles[3*s],c=this.circles[3*s+1],u=this.circles[3*s+2];r.push({key:this.circleKeys[s],x1:l-u,y1:c-u,x2:l+u,y2:c+u});}}else{var h={hitTest:o,seenUids:{box:{},circle:{}}};this._forEachCell(t,e,i,n,this._queryCell,r,h);}return o?r.length>0:r},he.prototype._queryCircle=function(t,e,i,n){var o=t-i,r=t+i,a=e-i,s=e+i;if(r<0||o>this.width||s<0||a>this.height)return!n&&[];var l=[],c={hitTest:n,circle:{x:t,y:e,radius:i},seenUids:{box:{},circle:{}}};return this._forEachCell(o,a,r,s,this._queryCellCircle,l,c),n?l.length>0:l},he.prototype.query=function(t,e,i,n){return this._query(t,e,i,n,!1)},he.prototype.hitTest=function(t,e,i,n){return this._query(t,e,i,n,!0)},he.prototype.hitTestCircle=function(t,e,i){return this._queryCircle(t,e,i,!0)},he.prototype._queryCell=function(t,e,i,n,o,r,a){var s=a.seenUids,l=this.boxCells[o];if(null!==l)for(var c=this.bboxes,u=0,h=l;u<h.length;u+=1){var p=h[u];if(!s.box[p]){s.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&i>=c[d+0]&&n>=c[d+1]){if(a.hitTest)return r.push(!0),!0;r.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]});}}}var f=this.circleCells[o];if(null!==f)for(var m=this.circles,_=0,g=f;_<g.length;_+=1){var v=g[_];if(!s.circle[v]){s.circle[v]=!0;var y=3*v;if(this._circleAndRectCollide(m[y],m[y+1],m[y+2],t,e,i,n)){if(a.hitTest)return r.push(!0),!0;var x=m[y],b=m[y+1],w=m[y+2];r.push({key:this.circleKeys[v],x1:x-w,y1:b-w,x2:x+w,y2:b+w});}}}},he.prototype._queryCellCircle=function(t,e,i,n,o,r,a){var s=a.circle,l=a.seenUids,c=this.boxCells[o];if(null!==c)for(var u=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!l.box[d]){l.box[d]=!0;var f=4*d;if(this._circleAndRectCollide(s.x,s.y,s.radius,u[f+0],u[f+1],u[f+2],u[f+3]))return r.push(!0),!0}}var m=this.circleCells[o];if(null!==m)for(var _=this.circles,g=0,v=m;g<v.length;g+=1){var y=v[g];if(!l.circle[y]){l.circle[y]=!0;var x=3*y;if(this._circlesCollide(_[x],_[x+1],_[x+2],s.x,s.y,s.radius))return r.push(!0),!0}}},he.prototype._forEachCell=function(t,e,i,n,o,r,a){for(var s=this._convertToXCellCoord(t),l=this._convertToYCellCoord(e),c=this._convertToXCellCoord(i),u=this._convertToYCellCoord(n),h=s;h<=c;h++)for(var p=l;p<=u;p++){var d=this.xCellCount*p+h;if(o.call(this,t,e,i,n,d,r,a))return}},he.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},he.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},he.prototype._circlesCollide=function(t,e,i,n,o,r){var a=n-t,s=o-e,l=i+r;return l*l>a*a+s*s},he.prototype._circleAndRectCollide=function(t,e,i,n,o,r,a){var s=(r-n)/2,l=Math.abs(t-(n+s));if(l>s+i)return!1;var c=(a-o)/2,u=Math.abs(e-(o+c));if(u>c+i)return!1;if(l<=s||u<=c)return!0;var h=l-s,p=u-c;return h*h+p*p<=i*i};var pe=t.default$19.layout;function de(e,i,n,o,r){var a=t.mat4.identity(new Float32Array(16));return i?(t.mat4.identity(a),t.mat4.scale(a,a,[1/r,1/r,1]),n||t.mat4.rotateZ(a,a,o.angle)):(t.mat4.scale(a,a,[o.width/2,-o.height/2,1]),t.mat4.translate(a,a,[1,-1,0]),t.mat4.multiply(a,a,e)),a}function fe(e,i,n,o,r){var a=t.mat4.identity(new Float32Array(16));return i?(t.mat4.multiply(a,a,e),t.mat4.scale(a,a,[r,r,1]),n||t.mat4.rotateZ(a,a,-o.angle)):(t.mat4.scale(a,a,[1,-1,1]),t.mat4.translate(a,a,[-1,-1,0]),t.mat4.scale(a,a,[2/o.width,2/o.height,1])),a}function me(e,i){var n=[e.x,e.y,0,1];Ie(n,n,i);var o=n[3];return{point:new t.default$1(n[0]/o,n[1]/o),signedDistanceFromCamera:o}}function _e(t,e){var i=t[0]/t[3],n=t[1]/t[3];return i>=-e[0]&&i<=e[0]&&n>=-e[1]&&n<=e[1]}function ge(e,i,n,o,r,a,s,l){var c=o?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom,pe.properties[o?\"text-size\":\"icon-size\"]),h=[256/n.width*2+1,256/n.height*2+1],p=o?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;p.clear();for(var d=e.lineVertexArray,f=o?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,_=!1,g=0;g<f.length;g++){var v=f.get(g);if(v.hidden||v.writingMode===t.WritingMode.vertical&&!_)Te(v.numGlyphs,p);else{_=!1;var y=[v.anchorX,v.anchorY,0,1];if(t.vec4.transformMat4(y,y,i),_e(y,h)){var x=.5+y[3]/n.transform.cameraToCenterDistance*.5,b=t.evaluateSizeForFeature(c,u,v),w=s?b*x:b/x,E=new t.default$1(v.anchorX,v.anchorY),T=me(E,r).point,I={},C=xe(v,w,!1,l,i,r,a,e.glyphOffsetArray,d,p,T,E,I,m);_=C.useVertical,(C.notEnoughRoom||_||C.needsFlipping&&xe(v,w,!0,l,i,r,a,e.glyphOffsetArray,d,p,T,E,I,m).notEnoughRoom)&&Te(v.numGlyphs,p);}else Te(v.numGlyphs,p);}}o?e.text.dynamicLayoutVertexBuffer.updateData(p):e.icon.dynamicLayoutVertexBuffer.updateData(p);}function ve(t,e,i,n,o,r,a,s,l,c,u,h){var p=s.glyphStartIndex+s.numGlyphs,d=s.lineStartIndex,f=s.lineStartIndex+s.lineLength,m=e.getoffsetX(s.glyphStartIndex),_=e.getoffsetX(p-1),g=we(t*m,i,n,o,r,a,s.segment,d,f,l,c,u,h);if(!g)return null;var v=we(t*_,i,n,o,r,a,s.segment,d,f,l,c,u,h);return v?{first:g,last:v}:null}function ye(e,i,n,o){if(e===t.WritingMode.horizontal&&Math.abs(n.y-i.y)>Math.abs(n.x-i.x)*o)return{useVertical:!0};return(e===t.WritingMode.vertical?i.y<n.y:i.x>n.x)?{needsFlipping:!0}:null}function xe(e,i,n,o,r,a,s,l,c,u,h,p,d,f){var m,_=i/24,g=e.lineOffsetX*i,v=e.lineOffsetY*i;if(e.numGlyphs>1){var y=e.glyphStartIndex+e.numGlyphs,x=e.lineStartIndex,b=e.lineStartIndex+e.lineLength,w=ve(_,l,g,v,n,h,p,e,c,a,d,!1);if(!w)return{notEnoughRoom:!0};var E=me(w.first.point,s).point,T=me(w.last.point,s).point;if(o&&!n){var I=ye(e.writingMode,E,T,f);if(I)return I}m=[w.first];for(var C=e.glyphStartIndex+1;C<y-1;C++)m.push(we(_*l.getoffsetX(C),g,v,n,h,p,e.segment,x,b,c,a,d,!1));m.push(w.last);}else{if(o&&!n){var S=me(p,r).point,z=e.lineStartIndex+e.segment+1,A=new t.default$1(c.getx(z),c.gety(z)),R=me(A,r),D=R.signedDistanceFromCamera>0?R.point:be(p,A,S,1,r),M=ye(e.writingMode,S,D,f);if(M)return M}var L=we(_*l.getoffsetX(e.glyphStartIndex),g,v,n,h,p,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,a,d,!1);if(!L)return{notEnoughRoom:!0};m=[L];}for(var P=0,k=m;P<k.length;P+=1){var B=k[P];t.addDynamicAttributes(u,B.point,B.angle);}return{}}function be(t,e,i,n,o){var r=me(t.add(t.sub(e)._unit()),o).point,a=i.sub(r);return i.add(a._mult(n/a.mag()))}function we(e,i,n,o,r,a,s,l,c,u,h,p,d){var f=o?e-i:e+i,m=f>0?1:-1,_=0;o&&(m*=-1,_=Math.PI),m<0&&(_+=Math.PI);for(var g=m>0?l+s:l+s+1,v=g,y=r,x=r,b=0,w=0,E=Math.abs(f);b+w<=E;){if((g+=m)<l||g>=c)return null;if(x=y,void 0===(y=p[g])){var T=new t.default$1(u.getx(g),u.gety(g)),I=me(T,h);if(I.signedDistanceFromCamera>0)y=p[g]=I.point;else{var C=g-m;y=be(0===b?a:new t.default$1(u.getx(C),u.gety(C)),T,x,E-b+1,h);}}b+=w,w=x.dist(y);}var S=(E-b)/w,z=y.sub(x),A=z.mult(S)._add(x);return A._add(z._unit()._perp()._mult(n*m)),{point:A,angle:_+Math.atan2(y.y-x.y,y.x-x.x),tileDistance:d?{prevTileDistance:g-m===v?0:u.gettileUnitDistanceFromAnchor(g-m),lastSegmentViewportDistance:E-b}:null}}var Ee=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Te(t,e){for(var i=0;i<t;i++){var n=e.length;e.resize(n+4),e.float32.set(Ee,3*n);}}function Ie(t,e,i){var n=e[0],o=e[1];return t[0]=i[0]*n+i[4]*o+i[12],t[1]=i[1]*n+i[5]*o+i[13],t[3]=i[3]*n+i[7]*o+i[15],t}t.default$20.mat4;var Ce=function(t,e,i){void 0===e&&(e=new he(t.width+200,t.height+200,25)),void 0===i&&(i=new he(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=i,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100;};function Se(t,e,i){t[e+4]=i?1:0;}function ze(e,i,n){return i*(t.default$8/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}Ce.prototype.placeCollisionBox=function(t,e,i,n){var o=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),r=i*o.perspectiveRatio,a=t.x1*r+o.point.x,s=t.y1*r+o.point.y,l=t.x2*r+o.point.x,c=t.y2*r+o.point.y;return!e&&this.grid.hitTest(a,s,l,c)?{box:[],offscreen:!1}:{box:[a,s,l,c],offscreen:this.isOffscreen(a,s,l,c)}},Ce.prototype.approximateTileDistance=function(t,e,i,n,o){var r=o?1:n/this.pitchfactor,a=t.lastSegmentViewportDistance*i;return t.prevTileDistance+a+(r-1)*a*Math.abs(Math.sin(e))},Ce.prototype.placeCollisionCircles=function(e,i,n,o,r,a,s,l,c,u,h,p,d){var f=[],m=this.projectAnchor(u,a.anchorX,a.anchorY),_=c/24,g=a.lineOffsetX*c,v=a.lineOffsetY*c,y=new t.default$1(a.anchorX,a.anchorY),x=ve(_,l,g,v,!1,me(y,h).point,y,a,s,h,{},!0),b=!1,w=!0,E=m.perspectiveRatio*o,T=1/(o*n),I=0,C=0;x&&(I=this.approximateTileDistance(x.first.tileDistance,x.first.angle,T,m.cameraDistance,d),C=this.approximateTileDistance(x.last.tileDistance,x.last.angle,T,m.cameraDistance,d));for(var S=0;S<e.length;S+=5){var z=e[S],A=e[S+1],R=e[S+2],D=e[S+3];if(!x||D<-I||D>C)Se(e,S,!1);else{var M=this.projectPoint(u,z,A),L=R*E;if(f.length>0){var P=M.x-f[f.length-4],k=M.y-f[f.length-3];if(L*L*2>P*P+k*k)if(S+8<e.length){var B=e[S+8];if(B>-I&&B<C){Se(e,S,!1);continue}}}var O=S/5;if(f.push(M.x,M.y,L,O),Se(e,S,!0),w=w&&this.isOffscreen(M.x-L,M.y-L,M.x+L,M.y+L),!i&&this.grid.hitTestCircle(M.x,M.y,L)){if(!p)return{circles:[],offscreen:!1};b=!0;}}}return{circles:b?[]:f,offscreen:w}},Ce.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var i=[],n=1/0,o=1/0,r=-1/0,a=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.default$1(c.x+100,c.y+100);n=Math.min(n,u.x),o=Math.min(o,u.y),r=Math.max(r,u.x),a=Math.max(a,u.y),i.push(u);}for(var h={},p={},d=0,f=this.grid.query(n,o,r,a).concat(this.ignoredGrid.query(n,o,r,a));d<f.length;d+=1){var m=f[d],_=m.key;if(void 0===h[_.bucketInstanceId]&&(h[_.bucketInstanceId]={}),!h[_.bucketInstanceId][_.featureIndex]){var g=[new t.default$1(m.x1,m.y1),new t.default$1(m.x2,m.y1),new t.default$1(m.x2,m.y2),new t.default$1(m.x1,m.y2)];t.polygonIntersectsPolygon(i,g)&&(h[_.bucketInstanceId][_.featureIndex]=!0,void 0===p[_.bucketInstanceId]&&(p[_.bucketInstanceId]=[]),p[_.bucketInstanceId].push(_.featureIndex));}}return p},Ce.prototype.insertCollisionBox=function(t,e,i,n){var o={bucketInstanceId:i,featureIndex:n};(e?this.ignoredGrid:this.grid).insert(o,t[0],t[1],t[2],t[3]);},Ce.prototype.insertCollisionCircles=function(t,e,i,n){for(var o=e?this.ignoredGrid:this.grid,r={bucketInstanceId:i,featureIndex:n},a=0;a<t.length;a+=4)o.insertCircle(r,t[a],t[a+1],t[a+2]);},Ce.prototype.projectAnchor=function(t,e,i){var n=[e,i,0,1];return Ie(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},Ce.prototype.projectPoint=function(e,i,n){var o=[i,n,0,1];return Ie(o,o,e),new t.default$1((o[0]/o[3]+1)/2*this.transform.width+100,(-o[1]/o[3]+1)/2*this.transform.height+100)},Ce.prototype.projectAndGetPerspectiveRatio=function(e,i,n){var o=[i,n,0,1];return Ie(o,o,e),{point:new t.default$1((o[0]/o[3]+1)/2*this.transform.width+100,(-o[1]/o[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/o[3]*.5}},Ce.prototype.isOffscreen=function(t,e,i,n){return i<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary};var Ae=t.default$19.layout,Re=function(t,e,i,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&i?1:0,this.placed=i;};Re.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var De=function(t,e,i,n,o){this.text=new Re(t?t.text:null,e,i,o),this.icon=new Re(t?t.icon:null,e,n,o);};De.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var Me=function(t,e,i){this.text=t,this.icon=e,this.skipFade=i;},Le=function(t,e){this.transform=t.clone(),this.collisionIndex=new Ce(this.transform),this.placements={},this.opacities={},this.stale=!1,this.fadeDuration=e,this.retainedQueryData={};};function Pe(t,e,i){t.emplaceBack(e?1:0,i?1:0),t.emplaceBack(e?1:0,i?1:0),t.emplaceBack(e?1:0,i?1:0),t.emplaceBack(e?1:0,i?1:0);}Le.prototype.placeLayerTile=function(e,i,n,o){var r=i.getBucket(e),a=i.latestFeatureIndex;if(r&&a&&e.id===r.layerIds[0]){var s=i.collisionBoxArray,l=r.layers[0].layout,c=Math.pow(2,this.transform.zoom-i.tileID.overscaledZ),u=i.tileSize/t.default$8,h=this.transform.calculatePosMatrix(i.tileID.toUnwrapped()),p=de(h,\"map\"===l.get(\"text-pitch-alignment\"),\"map\"===l.get(\"text-rotation-alignment\"),this.transform,ze(i,1,this.transform.zoom)),d=de(h,\"map\"===l.get(\"icon-pitch-alignment\"),\"map\"===l.get(\"icon-rotation-alignment\"),this.transform,ze(i,1,this.transform.zoom));this.retainedQueryData[r.bucketInstanceId]=new function(t,e,i,n,o){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=i,this.bucketIndex=n,this.tileID=o;}(r.bucketInstanceId,a,r.sourceLayerIndex,r.index,i.tileID),this.placeLayerBucket(r,h,p,d,c,u,n,o,s);}},Le.prototype.placeLayerBucket=function(e,i,n,o,r,a,s,l,c){for(var u=e.layers[0].layout,h=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom,Ae.properties[\"text-size\"]),p=!e.hasTextData()||u.get(\"text-optional\"),d=!e.hasIconData()||u.get(\"icon-optional\"),f=0,m=e.symbolInstances;f<m.length;f+=1){var _=m[f];if(!l[_.crossTileID]){var g=void 0!==_.feature.text,v=void 0!==_.feature.icon,y=!0,x=null,b=null,w=null,E=0,T=0;_.collisionArrays||(_.collisionArrays=e.deserializeCollisionBoxes(c,_.textBoxStartIndex,_.textBoxEndIndex,_.iconBoxStartIndex,_.iconBoxEndIndex)),_.collisionArrays.textFeatureIndex&&(E=_.collisionArrays.textFeatureIndex),_.collisionArrays.textBox&&(g=(x=this.collisionIndex.placeCollisionBox(_.collisionArrays.textBox,u.get(\"text-allow-overlap\"),a,i)).box.length>0,y=y&&x.offscreen);var I=_.collisionArrays.textCircles;if(I){var C=e.text.placedSymbolArray.get(_.placedTextSymbolIndices[0]),S=t.evaluateSizeForFeature(e.textSizeData,h,C);b=this.collisionIndex.placeCollisionCircles(I,u.get(\"text-allow-overlap\"),r,a,_.key,C,e.lineVertexArray,e.glyphOffsetArray,S,i,n,s,\"map\"===u.get(\"text-pitch-alignment\")),g=u.get(\"text-allow-overlap\")||b.circles.length>0,y=y&&b.offscreen;}_.collisionArrays.iconFeatureIndex&&(T=_.collisionArrays.iconFeatureIndex),_.collisionArrays.iconBox&&(v=(w=this.collisionIndex.placeCollisionBox(_.collisionArrays.iconBox,u.get(\"icon-allow-overlap\"),a,i)).box.length>0,y=y&&w.offscreen),p||d?d?p||(v=v&&g):g=v&&g:v=g=v&&g,g&&x&&this.collisionIndex.insertCollisionBox(x.box,u.get(\"text-ignore-placement\"),e.bucketInstanceId,E),v&&w&&this.collisionIndex.insertCollisionBox(w.box,u.get(\"icon-ignore-placement\"),e.bucketInstanceId,T),g&&b&&this.collisionIndex.insertCollisionCircles(b.circles,u.get(\"text-ignore-placement\"),e.bucketInstanceId,E),this.placements[_.crossTileID]=new Me(g,v,y||e.justReloaded),l[_.crossTileID]=!0;}}e.justReloaded=!1;},Le.prototype.commit=function(t,e){this.commitTime=e;var i=!1,n=t&&0!==this.fadeDuration?(this.commitTime-t.commitTime)/this.fadeDuration:1,o=t?t.opacities:{};for(var r in this.placements){var a=this.placements[r],s=o[r];s?(this.opacities[r]=new De(s,n,a.text,a.icon),i=i||a.text!==s.text.placed||a.icon!==s.icon.placed):(this.opacities[r]=new De(null,n,a.text,a.icon,a.skipFade),i=i||a.text||a.icon);}for(var l in o){var c=o[l];if(!this.opacities[l]){var u=new De(c,n,!1,!1);u.isHidden()||(this.opacities[l]=u,i=i||c.text.placed||c.icon.placed);}}i?this.lastPlacementChangeTime=e:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=t?t.lastPlacementChangeTime:e);},Le.prototype.updateLayerOpacities=function(t,e){for(var i={},n=0,o=e;n<o.length;n+=1){var r=o[n],a=r.getBucket(t);a&&r.latestFeatureIndex&&t.id===a.layerIds[0]&&this.updateBucketOpacities(a,i,r.collisionBoxArray);}},Le.prototype.updateBucketOpacities=function(t,e,i){t.hasTextData()&&t.text.opacityVertexArray.clear(),t.hasIconData()&&t.icon.opacityVertexArray.clear(),t.hasCollisionBoxData()&&t.collisionBox.collisionVertexArray.clear(),t.hasCollisionCircleData()&&t.collisionCircle.collisionVertexArray.clear();for(var n=t.layers[0].layout,o=new De(null,0,!1,!1,!0),r=new De(null,0,n.get(\"text-allow-overlap\"),n.get(\"icon-allow-overlap\"),!0),a=0;a<t.symbolInstances.length;a++){var s=t.symbolInstances[a],l=e[s.crossTileID],c=this.opacities[s.crossTileID];l?c=o:c||(c=r,this.opacities[s.crossTileID]=c),e[s.crossTileID]=!0;var u=s.numGlyphVertices>0||s.numVerticalGlyphVertices>0,h=s.numIconVertices>0;if(u){for(var p=Ve(c.text),d=(s.numGlyphVertices+s.numVerticalGlyphVertices)/4,f=0;f<d;f++)t.text.opacityVertexArray.emplaceBack(p);for(var m=0,_=s.placedTextSymbolIndices;m<_.length;m+=1){var g=_[m];t.text.placedSymbolArray.get(g).hidden=c.text.isHidden();}}if(h){for(var v=Ve(c.icon),y=0;y<s.numIconVertices/4;y++)t.icon.opacityVertexArray.emplaceBack(v);t.icon.placedSymbolArray.get(a).hidden=c.icon.isHidden();}s.collisionArrays||(s.collisionArrays=t.deserializeCollisionBoxes(i,s.textBoxStartIndex,s.textBoxEndIndex,s.iconBoxStartIndex,s.iconBoxEndIndex));var x=s.collisionArrays;if(x){x.textBox&&t.hasCollisionBoxData()&&Pe(t.collisionBox.collisionVertexArray,c.text.placed,!1),x.iconBox&&t.hasCollisionBoxData()&&Pe(t.collisionBox.collisionVertexArray,c.icon.placed,!1);var b=x.textCircles;if(b&&t.hasCollisionCircleData())for(var w=0;w<b.length;w+=5){var E=l||0===b[w+4];Pe(t.collisionCircle.collisionVertexArray,c.text.placed,E);}}}t.sortFeatures(this.transform.angle),this.retainedQueryData[t.bucketInstanceId]&&(this.retainedQueryData[t.bucketInstanceId].featureSortOrder=t.featureSortOrder),t.hasTextData()&&t.text.opacityVertexBuffer&&t.text.opacityVertexBuffer.updateData(t.text.opacityVertexArray),t.hasIconData()&&t.icon.opacityVertexBuffer&&t.icon.opacityVertexBuffer.updateData(t.icon.opacityVertexArray),t.hasCollisionBoxData()&&t.collisionBox.collisionVertexBuffer&&t.collisionBox.collisionVertexBuffer.updateData(t.collisionBox.collisionVertexArray),t.hasCollisionCircleData()&&t.collisionCircle.collisionVertexBuffer&&t.collisionCircle.collisionVertexBuffer.updateData(t.collisionCircle.collisionVertexArray);},Le.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},Le.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Le.prototype.stillRecent=function(t){return\"undefined\"!==this.commitTime&&this.commitTime+this.fadeDuration>t},Le.prototype.setStale=function(){this.stale=!0;};var ke=Math.pow(2,25),Be=Math.pow(2,24),Oe=Math.pow(2,17),Fe=Math.pow(2,16),Ne=Math.pow(2,9),Ue=Math.pow(2,8),Ze=Math.pow(2,1);function Ve(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,i=Math.floor(127*t.opacity);return i*ke+e*Be+i*Oe+e*Fe+i*Ne+e*Ue+i*Ze+e}var je=function(){this._currentTileIndex=0,this._seenCrossTileIDs={};};je.prototype.continuePlacement=function(t,e,i,n,o){for(;this._currentTileIndex<t.length;){var r=t[this._currentTileIndex];if(e.placeLayerTile(n,r,i,this._seenCrossTileIDs),this._currentTileIndex++,o())return!0}};var $e=function(t,e,i,n,o){this.placement=new Le(t,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=i,this._showCollisionBoxes=n,this._done=!1;};$e.prototype.isDone=function(){return this._done},$e.prototype.continuePlacement=function(t,e,i){for(var n=this,o=r.now(),a=function(){var t=r.now()-o;return!n._forceFullPlacement&&t>2};this._currentPlacementIndex>=0;){var s=e[t[n._currentPlacementIndex]],l=n.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(n._inProgressLayer||(n._inProgressLayer=new je),n._inProgressLayer.continuePlacement(i[s.source],n.placement,n._showCollisionBoxes,s,a))return;delete n._inProgressLayer;}n._currentPlacementIndex--;}this._done=!0;},$e.prototype.commit=function(t,e){return this.placement.commit(t,e),this.placement};var Ge=512/t.default$8/2,We=function(t,e,i){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=i;for(var n=0,o=e;n<o.length;n+=1){var r=o[n],a=r.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:r.crossTileID,coord:this.getScaledCoordinates(r,t)});}};We.prototype.getScaledCoordinates=function(e,i){var n=i.canonical.z-this.tileID.canonical.z,o=Ge/Math.pow(2,n),r=e.anchor;return{x:Math.floor((i.canonical.x*t.default$8+r.x)*o),y:Math.floor((i.canonical.y*t.default$8+r.y)*o)}},We.prototype.findMatches=function(t,e,i){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),o=0,r=t;o<r.length;o+=1){var a=r[o];if(!a.crossTileID){var s=this.indexedSymbolInstances[a.key];if(s)for(var l=this.getScaledCoordinates(a,e),c=0,u=s;c<u.length;c+=1){var h=u[c];if(Math.abs(h.coord.x-l.x)<=n&&Math.abs(h.coord.y-l.y)<=n&&!i[h.crossTileID]){i[h.crossTileID]=!0,a.crossTileID=h.crossTileID;break}}}}};var qe=function(){this.maxCrossTileID=0;};qe.prototype.generate=function(){return++this.maxCrossTileID};var Xe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0;};Xe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var i in this.indexes){var n=this.indexes[i],o={};for(var r in n){var a=n[r];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+e),o[a.tileID.key]=a;}this.indexes[i]=o;}this.lng=t;},Xe.prototype.addBucket=function(t,e,i){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key]);}for(var n=0,o=e.symbolInstances;n<o.length;n+=1){o[n].crossTileID=0;}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var r=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var s=this.indexes[a];if(Number(a)>t.overscaledZ)for(var l in s){var c=s[l];c.tileID.isChildOf(t)&&c.findMatches(e.symbolInstances,t,r);}else{var u=s[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,r);}}for(var h=0,p=e.symbolInstances;h<p.length;h+=1){var d=p[h];d.crossTileID||(d.crossTileID=i.generate(),r[d.crossTileID]=!0);}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new We(t,e.symbolInstances,e.bucketInstanceId),!0},Xe.prototype.removeBucketCrossTileIDs=function(t,e){for(var i in e.indexedSymbolInstances)for(var n=0,o=e.indexedSymbolInstances[i];n<o.length;n+=1){var r=o[n];delete this.usedCrossTileIDs[t][r.crossTileID];}},Xe.prototype.removeStaleBuckets=function(t){var e=!1;for(var i in this.indexes){var n=this.indexes[i];for(var o in n)t[n[o].bucketInstanceId]||(this.removeBucketCrossTileIDs(i,n[o]),delete n[o],e=!0);}return e};var He=function(){this.layerIndexes={},this.crossTileIDs=new qe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={};};He.prototype.addLayer=function(t,e,i){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Xe);var o=!1,r={};n.handleWrapJump(i);for(var a=0,s=e;a<s.length;a+=1){var l=s[a],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(o=!0),r[c.bucketInstanceId]=!0);}return n.removeStaleBuckets(r)&&(o=!0),o},He.prototype.pruneUnusedLayers=function(t){var e={};for(var i in t.forEach(function(t){e[t]=!0;}),this.layerIndexes)e[i]||delete this.layerIndexes[i];};var Ke=function(e,i){return t.emitValidationErrors(e,i&&i.filter(function(t){return\"source.canvas\"!==t.identifier}))},Ye=t.pick(ie,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Je=t.pick(ie,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Qe=function(e){function i(n,o){var r=this;void 0===o&&(o={}),e.call(this),this.map=n,this.dispatcher=new $((Jt||(Jt=new Qt),Jt),this),this.imageManager=new L,this.glyphManager=new N(n._transformRequest,o.localIdeographFontFamily),this.lineAtlas=new j(256,512),this.crossTileSymbolIndex=new He,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.default$23,this._loaded=!1,this._resetUpdates();var a=this;this._rtlTextPluginCallback=i.registerForPluginAvailability(function(t){for(var e in a.dispatcher.broadcast(\"loadRTLTextPlugin\",t.pluginURL,t.completionCallback),a.sourceCaches)a.sourceCaches[e].reload();}),this.on(\"data\",function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=r.sourceCaches[t.sourceId];if(e){var i=e.getSource();if(i&&i.vectorLayerIds)for(var n in r._layers){var o=r._layers[n];o.source===i.id&&r._validateLayer(o);}}}});}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.loadURL=function(e,i){var n=this;void 0===i&&(i={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var o=\"boolean\"==typeof i.validate?i.validate:!y(e);e=function(t,e){if(!y(t))return t;var i=C(t);return i.path=\"/styles/v1\"+i.path,v(i,e)}(e,i.accessToken);var r=this.map._transformRequest(e,t.ResourceType.Style);t.getJSON(r,function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._load(i,o);});},i.prototype.loadJSON=function(e,i){var n=this;void 0===i&&(i={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),r.frame(function(){n._load(e,!1!==i.validate);});},i.prototype._load=function(e,i){var n=this;if(!i||!Ke(this,t.validateStyle(e))){for(var o in this._loaded=!0,this.stylesheet=e,e.sources)n.addSource(o,e.sources[o],{validate:!1});e.sprite?function(e,i,n){var o,a,s,l=r.devicePixelRatio>1?\"@2x\":\"\";function c(){if(s)n(s);else if(o&&a){var e=r.getImageData(a),i={};for(var l in o){var c=o[l],u=c.width,h=c.height,p=c.x,d=c.y,f=c.sdf,m=c.pixelRatio,_=new t.RGBAImage({width:u,height:h});t.RGBAImage.copy(e,_,{x:p,y:d},{x:0,y:0},{width:u,height:h}),i[l]={data:_,pixelRatio:m,sdf:f};}n(null,i);}}t.getJSON(i(w(e,l,\".json\"),t.ResourceType.SpriteJSON),function(t,e){s||(s=t,o=e,c());}),t.getImage(i(w(e,l,\".png\"),t.ResourceType.SpriteImage),function(t,e){s||(s=t,a=e,c());});}(e.sprite,this.map._transformRequest,function(e,i){if(e)n.fire(new t.ErrorEvent(e));else if(i)for(var o in i)n.imageManager.addImage(o,i[o]);n.imageManager.setLoaded(!0),n.fire(new t.Event(\"data\",{dataType:\"style\"}));}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var a=ee(this.stylesheet.layers);this._order=a.map(function(t){return t.id}),this._layers={};for(var s=0,l=a;s<l.length;s+=1){var c=l[s];(c=t.default$22(c)).setEventedParent(n,{layer:{id:c.id}}),n._layers[c.id]=c;}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new V(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"));}},i.prototype._validateLayer=function(e){var i=this.sourceCaches[e.source];if(i){var n=e.sourceLayer;if(n){var o=i.getSource();(\"geojson\"===o.type||o.vectorLayerIds&&-1===o.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+o.id+'\" as specified by style layer \"'+e.id+'\"')));}}},i.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},i.prototype._serializeLayers=function(t){var e=this;return t.map(function(t){return e._layers[t].serialize()})},i.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},i.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},i.prototype.update=function(e){if(this._loaded){if(this._changed){var i=Object.keys(this._updatedLayers),n=Object.keys(this._removedLayers);for(var o in(i.length||n.length)&&this._updateWorkerLayers(i,n),this._updatedSources){var r=this._updatedSources[o];\"reload\"===r?this._reloadSource(o):\"clear\"===r&&this._clearSource(o);}for(var a in this._updatedPaintProps)this._layers[a].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates(),this.fire(new t.Event(\"data\",{dataType:\"style\"}));}for(var s in this.sourceCaches)this.sourceCaches[s].used=!1;for(var l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];h.recalculate(e),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0);}this.light.recalculate(e),this.z=e.zoom;}},i.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e});},i.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={};},i.prototype.setState=function(e){var i=this;if(this._checkLoaded(),Ke(this,t.validateStyle(e)))return!1;(e=t.clone(e)).layers=ee(e.layers);var n=ue(this.serialize(),e).filter(function(t){return!(t.command in Je)});if(0===n.length)return!1;var o=n.filter(function(t){return!(t.command in Ye)});if(o.length>0)throw new Error(\"Unimplemented: \"+o.map(function(t){return t.command}).join(\", \")+\".\");return n.forEach(function(t){\"setTransition\"!==t.command&&i[t.command].apply(i,t.args);}),this.stylesheet=e,!0},i.prototype.addImage=function(e,i){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,i),this.fire(new t.Event(\"data\",{dataType:\"style\"}));},i.prototype.getImage=function(t){return this.imageManager.getImage(t)},i.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this.fire(new t.Event(\"data\",{dataType:\"style\"}));},i.prototype.addSource=function(e,i,n){var o=this;if(this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!i.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(i).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(i.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,i,null,n)){this.map&&this.map._collectResourceTiming&&(i.collectResourceTiming=!0);var r=this.sourceCaches[e]=new Xt(e,i,this.dispatcher);r.style=this,r.setEventedParent(this,function(){return{isSourceLoaded:o.loaded(),source:r.serialize(),sourceId:e}}),r.onAdd(this.map),this._changed=!0;}},i.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var i in this._layers)if(this._layers[i].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+i+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0;},i.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0;},i.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},i.prototype.addLayer=function(e,i,n){this._checkLoaded();var o=e.id;if(this.getLayer(o))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+o+'\" already exists on this map')));else if(\"object\"==typeof e.source&&(this.addSource(o,e.source),e=t.clone(e),e=t.extend(e,{source:o})),!this._validate(t.validateStyle.layer,\"layers.\"+o,e,{arrayIndex:-1},n)){var r=t.default$22(e);this._validateLayer(r),r.setEventedParent(this,{layer:{id:o}});var a=i?this._order.indexOf(i):this._order.length;if(i&&-1===a)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" does not exist on this map.')));else{if(this._order.splice(a,0,o),this._layerOrderChanged=!0,this._layers[o]=r,this._removedLayers[o]&&r.source){var s=this._removedLayers[o];delete this._removedLayers[o],s.type!==r.type?this._updatedSources[r.source]=\"clear\":(this._updatedSources[r.source]=\"reload\",this.sourceCaches[r.source].pause());}this._updateLayer(r);}}},i.prototype.moveLayer=function(e,i){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==i){var n=this._order.indexOf(e);this._order.splice(n,1);var o=i?this._order.indexOf(i):this._order.length;i&&-1===o?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" does not exist on this map.'))):(this._order.splice(o,0,e),this._layerOrderChanged=!0);}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")));},i.prototype.removeLayer=function(e){this._checkLoaded();var i=this._layers[e];if(i){i.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=i,delete this._layers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e];}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")));},i.prototype.getLayer=function(t){return this._layers[t]},i.prototype.setLayerZoomRange=function(e,i,n){this._checkLoaded();var o=this.getLayer(e);o?o.minzoom===i&&o.maxzoom===n||(null!=i&&(o.minzoom=i),null!=n&&(o.maxzoom=n),this._updateLayer(o)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")));},i.prototype.setFilter=function(e,i){this._checkLoaded();var n=this.getLayer(e);if(n){if(!t.default$10(n.filter,i))return null==i?(n.filter=void 0,void this._updateLayer(n)):void(this._validate(t.validateStyle.filter,\"layers.\"+n.id+\".filter\",i)||(n.filter=t.clone(i),this._updateLayer(n)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")));},i.prototype.getFilter=function(e){return t.clone(this.getLayer(e).filter)},i.prototype.setLayoutProperty=function(e,i,n){this._checkLoaded();var o=this.getLayer(e);o?t.default$10(o.getLayoutProperty(i),n)||(o.setLayoutProperty(i,n),this._updateLayer(o)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")));},i.prototype.getLayoutProperty=function(t,e){return this.getLayer(t).getLayoutProperty(e)},i.prototype.setPaintProperty=function(e,i,n){this._checkLoaded();var o=this.getLayer(e);if(o){if(!t.default$10(o.getPaintProperty(i),n)){var r=o._transitionablePaint._values[i].value.isDataDriven();o.setPaintProperty(i,n),(o._transitionablePaint._values[i].value.isDataDriven()||r)&&this._updateLayer(o),this._changed=!0,this._updatedPaintProps[e]=!0;}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")));},i.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},i.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},i.prototype.serialize=function(){var e=this;return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,function(t){return t.serialize()}),layers:this._order.map(function(t){return e._layers[t].serialize()})},function(t){return void 0!==t})},i.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0;},i.prototype._flattenRenderedFeatures=function(t){for(var e=[],i=this._order.length-1;i>=0;i--)for(var n=this._order[i],o=0,r=t;o<r.length;o+=1){var a=r[o][n];if(a)for(var s=0,l=a;s<l.length;s+=1){var c=l[s];e.push(c);}}return e},i.prototype.queryRenderedFeatures=function(e,i,n){i&&i.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",i.filter);var o={};if(i&&i.layers){if(!Array.isArray(i.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var r=0,a=i.layers;r<a.length;r+=1){var s=a[r],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];o[l.source]=!0;}}var c=[];for(var u in this.sourceCaches)i.layers&&!o[u]||c.push(at(this.sourceCaches[u],this._layers,e.worldCoordinate,i,n));return this.placement&&c.push(function(t,e,i,n,o){for(var r={},a=n.queryRenderedSymbols(e),s=[],l=0,c=Object.keys(a).map(Number);l<c.length;l+=1){var u=c[l];s.push(o[u]);}s.sort(st);for(var h=function(){var e=d[p],n=e.featureIndex.lookupSymbolFeatures(a[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,i.filter,i.layers,t);for(var o in n){var s=r[o]=r[o]||[],l=n[o];l.sort(function(t,i){var n=e.featureSortOrder;if(n){var o=n.indexOf(t.featureIndex);return n.indexOf(i.featureIndex)-o}return i.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];s.push(h.feature);}}},p=0,d=s;p<d.length;p+=1)h();return r}(this._layers,e.viewport,i,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenRenderedFeatures(c)},i.prototype.querySourceFeatures=function(e,i){i&&i.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",i.filter);var n=this.sourceCaches[e];return n?function(t,e){for(var i=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],o={},r=0;r<i.length;r++){var a=i[r],s=a.tileID.canonical.key;o[s]||(o[s]=!0,a.querySourceFeatures(n,e));}return n}(n,i):[]},i.prototype.addSourceType=function(t,e,n){return i.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(i.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},i.prototype.getLight=function(){return this.light.getLight()},i.prototype.setLight=function(e){this._checkLoaded();var i=this.light.getLight(),n=!1;for(var o in e)if(!t.default$10(e[o],i[o])){n=!0;break}if(n){var a={now:r.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e),this.light.updateTransitions(a);}},i.prototype._validate=function(e,i,n,o,r){return(!r||!1!==r.validate)&&Ke(this,e.call(t.validateStyle,t.extend({key:i,style:this.serialize(),value:n,styleSpec:t.default$5},o)))},i.prototype._remove=function(){for(var e in t.evented.off(\"pluginAvailable\",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();this.dispatcher.remove();},i.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles();},i.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload();},i.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t);},i.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t);},i.prototype._updatePlacement=function(t,e,i){for(var n=!1,o=!1,a={},s=0,l=this._order;s<l.length;s+=1){var c=l[s],u=this._layers[c];if(\"symbol\"===u.type){if(!a[u.source]){var h=this.sourceCaches[u.source];a[u.source]=h.getRenderableIds().map(function(t){return h.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)});}var p=this.crossTileSymbolIndex.addLayer(u,a[u.source],t.center.lng);n=n||p;}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var d=this._layerOrderChanged;if((d||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(r.now()))&&(this.pauseablePlacement=new $e(t,this._order,d,e,i),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,a),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(this.placement,r.now()),o=!0),n&&this.pauseablePlacement.placement.setStale()),o||n)for(var f=0,m=this._order;f<m.length;f+=1){var _=m[f],g=this._layers[_];\"symbol\"===g.type&&this.placement.updateLayerOpacities(g,a[g.source]);}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(r.now())},i.prototype.getImages=function(t,e,i){this.imageManager.getImages(e.icons,i);},i.prototype.getGlyphs=function(t,e,i){this.glyphManager.getGlyphs(e.stacks,i);},i}(t.Evented);Qe.getSourceType=function(t){return ot[t]},Qe.setSourceType=function(t,e){ot[t]=e;},Qe.registerForPluginAvailability=t.registerForPluginAvailability;var ti=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),ei={prelude:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n\\n#if !defined(highp)\\n#define highp\\n#endif\\n\\n#endif\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n\\n#if !defined(highp)\\n#define highp\\n#endif\\n\\n#endif\\n\\n// Unpack a pair of values that have been packed into a single float.\\n// The packed values are assumed to be 8-bit unsigned integers, and are\\n// packed like so:\\n// packedValue = floor(input[0]) * 256 + input[1],\\nvec2 unpack_float(const float packedValue) {\\n    int packedIntValue = int(packedValue);\\n    int v0 = packedIntValue / 256;\\n    return vec2(v0, packedIntValue - v0 * 256);\\n}\\n\\nvec2 unpack_opacity(const float packedOpacity) {\\n    int intOpacity = int(packedOpacity) / 2;\\n    return vec2(float(intOpacity) / 127.0, mod(packedOpacity, 2.0));\\n}\\n\\n// To minimize the number of attributes needed, we encode a 4-component\\n// color into a pair of floats (i.e. a vec2) as follows:\\n// [ floor(color.r * 255) * 256 + color.g * 255,\\n//   floor(color.b * 255) * 256 + color.g * 255 ]\\nvec4 decode_color(const vec2 encodedColor) {\\n    return vec4(\\n        unpack_float(encodedColor[0]) / 255.0,\\n        unpack_float(encodedColor[1]) / 255.0\\n    );\\n}\\n\\n// Unpack a pair of paint values and interpolate between them.\\nfloat unpack_mix_vec2(const vec2 packedValue, const float t) {\\n    return mix(packedValue[0], packedValue[1], t);\\n}\\n\\n// Unpack a pair of paint values and interpolate between them.\\nvec4 unpack_mix_vec4(const vec4 packedColors, const float t) {\\n    vec4 minColor = decode_color(vec2(packedColors[0], packedColors[1]));\\n    vec4 maxColor = decode_color(vec2(packedColors[2], packedColors[3]));\\n    return mix(minColor, maxColor, t);\\n}\\n\\n// The offset depends on how many pixels are between the world origin and the edge of the tile:\\n// vec2 offset = mod(pixel_coord, size)\\n//\\n// At high zoom levels there are a ton of pixels between the world origin and the edge of the tile.\\n// The glsl spec only guarantees 16 bits of precision for highp floats. We need more than that.\\n//\\n// The pixel_coord is passed in as two 16 bit values:\\n// pixel_coord_upper = floor(pixel_coord / 2^16)\\n// pixel_coord_lower = mod(pixel_coord, 2^16)\\n//\\n// The offset is calculated in a series of steps that should preserve this precision:\\nvec2 get_pattern_pos(const vec2 pixel_coord_upper, const vec2 pixel_coord_lower,\\n    const vec2 pattern_size, const float tile_units_to_pixels, const vec2 pos) {\\n\\n    vec2 offset = mod(mod(mod(pixel_coord_upper, pattern_size) * 256.0, pattern_size) * 256.0 + pixel_coord_lower, pattern_size);\\n    return (tile_units_to_pixels * pos + offset) / pattern_size;\\n}\\n\"},background:{fragmentSource:\"uniform vec4 u_color;\\nuniform float u_opacity;\\n\\nvoid main() {\\n    gl_FragColor = u_color * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n}\\n\"},backgroundPattern:{fragmentSource:\"uniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform vec2 u_texsize;\\nuniform float u_mix;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a / u_texsize, u_pattern_br_a / u_texsize, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b / u_texsize, u_pattern_br_b / u_texsize, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n\\n    v_pos_a = get_pattern_pos(u_pixel_coord_upper, u_pixel_coord_lower, u_scale_a * u_pattern_size_a, u_tile_units_to_pixels, a_pos);\\n    v_pos_b = get_pattern_pos(u_pixel_coord_upper, u_pixel_coord_lower, u_scale_b * u_pattern_size_b, u_tile_units_to_pixels, a_pos);\\n}\\n\"},circle:{fragmentSource:\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\n\\nvarying vec3 v_data;\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize mediump float radius\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n    #pragma mapbox: initialize highp vec4 stroke_color\\n    #pragma mapbox: initialize mediump float stroke_width\\n    #pragma mapbox: initialize lowp float stroke_opacity\\n\\n    vec2 extrude = v_data.xy;\\n    float extrude_length = length(extrude);\\n\\n    lowp float antialiasblur = v_data.z;\\n    float antialiased_blur = -max(blur, antialiasblur);\\n\\n    float opacity_t = smoothstep(0.0, antialiased_blur, extrude_length - 1.0);\\n\\n    float color_t = stroke_width < 0.01 ? 0.0 : smoothstep(\\n        antialiased_blur,\\n        0.0,\\n        extrude_length - radius / (radius + stroke_width)\\n    );\\n\\n    gl_FragColor = opacity_t * mix(color * opacity, stroke_color * stroke_opacity, color_t);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform bool u_scale_with_map;\\nuniform bool u_pitch_with_map;\\nuniform vec2 u_extrude_scale;\\nuniform highp float u_camera_to_center_distance;\\n\\nattribute vec2 a_pos;\\n\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\n\\nvarying vec3 v_data;\\n\\nvoid main(void) {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize mediump float radius\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n    #pragma mapbox: initialize highp vec4 stroke_color\\n    #pragma mapbox: initialize mediump float stroke_width\\n    #pragma mapbox: initialize lowp float stroke_opacity\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    vec2 extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    vec2 circle_center = floor(a_pos * 0.5);\\n    if (u_pitch_with_map) {\\n        vec2 corner_position = circle_center;\\n        if (u_scale_with_map) {\\n            corner_position += extrude * (radius + stroke_width) * u_extrude_scale;\\n        } else {\\n            // Pitching the circle with the map effectively scales it with the map\\n            // To counteract the effect for pitch-scale: viewport, we rescale the\\n            // whole circle based on the pitch scaling effect at its central point\\n            vec4 projected_center = u_matrix * vec4(circle_center, 0, 1);\\n            corner_position += extrude * (radius + stroke_width) * u_extrude_scale * (projected_center.w / u_camera_to_center_distance);\\n        }\\n\\n        gl_Position = u_matrix * vec4(corner_position, 0, 1);\\n    } else {\\n        gl_Position = u_matrix * vec4(circle_center, 0, 1);\\n\\n        if (u_scale_with_map) {\\n            gl_Position.xy += extrude * (radius + stroke_width) * u_extrude_scale * u_camera_to_center_distance;\\n        } else {\\n            gl_Position.xy += extrude * (radius + stroke_width) * u_extrude_scale * gl_Position.w;\\n        }\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    lowp float antialiasblur = 1.0 / DEVICE_PIXEL_RATIO / (radius + stroke_width);\\n\\n    v_data = vec3(extrude.x, extrude.y, antialiasblur);\\n}\\n\"},clippingMask:{fragmentSource:\"void main() {\\n    gl_FragColor = vec4(1.0);\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n}\\n\"},heatmap:{fragmentSource:\"#pragma mapbox: define highp float weight\\n\\nuniform highp float u_intensity;\\nvarying vec2 v_extrude;\\n\\n// Gaussian kernel coefficient: 1 / sqrt(2 * PI)\\n#define GAUSS_COEF 0.3989422804014327\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp float weight\\n\\n    // Kernel density estimation with a Gaussian kernel of size 5x5\\n    float d = -0.5 * 3.0 * 3.0 * dot(v_extrude, v_extrude);\\n    float val = weight * u_intensity * GAUSS_COEF * exp(d);\\n\\n    gl_FragColor = vec4(val, 1.0, 1.0, 1.0);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\n\\nuniform mat4 u_matrix;\\nuniform float u_extrude_scale;\\nuniform float u_opacity;\\nuniform float u_intensity;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_extrude;\\n\\n// Effective \\\"0\\\" in the kernel density texture to adjust the kernel size to;\\n// this empirically chosen number minimizes artifacts on overlapping kernels\\n// for typical heatmap cases (assuming clustered source)\\nconst highp float ZERO = 1.0 / 255.0 / 16.0;\\n\\n// Gaussian kernel coefficient: 1 / sqrt(2 * PI)\\n#define GAUSS_COEF 0.3989422804014327\\n\\nvoid main(void) {\\n    #pragma mapbox: initialize highp float weight\\n    #pragma mapbox: initialize mediump float radius\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    vec2 unscaled_extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    // This 'extrude' comes in ranging from [-1, -1], to [1, 1].  We'll use\\n    // it to produce the vertices of a square mesh framing the point feature\\n    // we're adding to the kernel density texture.  We'll also pass it as\\n    // a varying, so that the fragment shader can determine the distance of\\n    // each fragment from the point feature.\\n    // Before we do so, we need to scale it up sufficiently so that the\\n    // kernel falls effectively to zero at the edge of the mesh.\\n    // That is, we want to know S such that\\n    // weight * u_intensity * GAUSS_COEF * exp(-0.5 * 3.0^2 * S^2) == ZERO\\n    // Which solves to:\\n    // S = sqrt(-2.0 * log(ZERO / (weight * u_intensity * GAUSS_COEF))) / 3.0\\n    float S = sqrt(-2.0 * log(ZERO / weight / u_intensity / GAUSS_COEF)) / 3.0;\\n\\n    // Pass the varying in units of radius\\n    v_extrude = S * unscaled_extrude;\\n\\n    // Scale by radius and the zoom-based scale factor to produce actual\\n    // mesh position\\n    vec2 extrude = v_extrude * radius * u_extrude_scale;\\n\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    vec4 pos = vec4(floor(a_pos * 0.5) + extrude, 0, 1);\\n\\n    gl_Position = u_matrix * pos;\\n}\\n\"},heatmapTexture:{fragmentSource:\"uniform sampler2D u_image;\\nuniform sampler2D u_color_ramp;\\nuniform float u_opacity;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    float t = texture2D(u_image, v_pos).r;\\n    vec4 color = texture2D(u_color_ramp, vec2(t, 0.5));\\n    gl_FragColor = color * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(0.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_world;\\nattribute vec2 a_pos;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos * u_world, 0, 1);\\n\\n    v_pos.x = a_pos.x;\\n    v_pos.y = 1.0 - a_pos.y;\\n}\\n\"},collisionBox:{fragmentSource:\"\\nvarying float v_placed;\\nvarying float v_notUsed;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    // Red = collision, hide label\\n    gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n\\n    // Blue = no collision, label is showing\\n    if (v_placed > 0.5) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 0.5) * alpha;\\n    }\\n\\n    if (v_notUsed > 0.5) {\\n        // This box not used, fade it out\\n        gl_FragColor *= .1;\\n    }\\n}\",vertexSource:\"attribute vec2 a_pos;\\nattribute vec2 a_anchor_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_placed;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_extrude_scale;\\nuniform float u_camera_to_center_distance;\\n\\nvarying float v_placed;\\nvarying float v_notUsed;\\n\\nvoid main() {\\n    vec4 projectedPoint = u_matrix * vec4(a_anchor_pos, 0, 1);\\n    highp float camera_to_anchor_distance = projectedPoint.w;\\n    highp float collision_perspective_ratio = clamp(\\n        0.5 + 0.5 * (u_camera_to_center_distance / camera_to_anchor_distance),\\n        0.0, // Prevents oversized near-field boxes in pitched/overzoomed tiles\\n        4.0);\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0.0, 1.0);\\n    gl_Position.xy += a_extrude * u_extrude_scale * gl_Position.w * collision_perspective_ratio;\\n\\n    v_placed = a_placed.x;\\n    v_notUsed = a_placed.y;\\n}\\n\"},collisionCircle:{fragmentSource:\"uniform float u_overscale_factor;\\n\\nvarying float v_placed;\\nvarying float v_notUsed;\\nvarying float v_radius;\\nvarying vec2 v_extrude;\\nvarying vec2 v_extrude_scale;\\n\\nvoid main() {\\n    float alpha = 0.5;\\n\\n    // Red = collision, hide label\\n    vec4 color = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n\\n    // Blue = no collision, label is showing\\n    if (v_placed > 0.5) {\\n        color = vec4(0.0, 0.0, 1.0, 0.5) * alpha;\\n    }\\n\\n    if (v_notUsed > 0.5) {\\n        // This box not used, fade it out\\n        color *= .2;\\n    }\\n\\n    float extrude_scale_length = length(v_extrude_scale);\\n    float extrude_length = length(v_extrude) * extrude_scale_length;\\n    float stroke_width = 15.0 * extrude_scale_length / u_overscale_factor;\\n    float radius = v_radius * extrude_scale_length;\\n\\n    float distance_to_edge = abs(extrude_length - radius);\\n    float opacity_t = smoothstep(-stroke_width, 0.0, -distance_to_edge);\\n\\n    gl_FragColor = opacity_t * color;\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\nattribute vec2 a_anchor_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_placed;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_extrude_scale;\\nuniform float u_camera_to_center_distance;\\n\\nvarying float v_placed;\\nvarying float v_notUsed;\\nvarying float v_radius;\\n\\nvarying vec2 v_extrude;\\nvarying vec2 v_extrude_scale;\\n\\nvoid main() {\\n    vec4 projectedPoint = u_matrix * vec4(a_anchor_pos, 0, 1);\\n    highp float camera_to_anchor_distance = projectedPoint.w;\\n    highp float collision_perspective_ratio = clamp(\\n        0.5 + 0.5 * (u_camera_to_center_distance / camera_to_anchor_distance),\\n        0.0, // Prevents oversized near-field circles in pitched/overzoomed tiles\\n        4.0);\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0.0, 1.0);\\n\\n    highp float padding_factor = 1.2; // Pad the vertices slightly to make room for anti-alias blur\\n    gl_Position.xy += a_extrude * u_extrude_scale * padding_factor * gl_Position.w * collision_perspective_ratio;\\n\\n    v_placed = a_placed.x;\\n    v_notUsed = a_placed.y;\\n    v_radius = abs(a_extrude.y); // We don't pitch the circles, so both units of the extrusion vector are equal in magnitude to the radius\\n\\n    v_extrude = a_extrude * padding_factor;\\n    v_extrude_scale = u_extrude_scale * u_camera_to_center_distance * collision_perspective_ratio;\\n}\\n\"},debug:{fragmentSource:\"uniform highp vec4 u_color;\\n\\nvoid main() {\\n    gl_FragColor = u_color;\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n}\\n\"},fill:{fragmentSource:\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_FragColor = color * opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\n\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n}\\n\"},fillOutline:{fragmentSource:\"#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = 1.0 - smoothstep(0.0, 1.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"attribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},fillOutlinePattern:{fragmentSource:\"uniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform vec2 u_texsize;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a / u_texsize, u_pattern_br_a / u_texsize, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b / u_texsize, u_pattern_br_b / u_texsize, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = 1.0 - smoothstep(0.0, 1.0, dist);\\n\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_world;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n\\n    v_pos_a = get_pattern_pos(u_pixel_coord_upper, u_pixel_coord_lower, u_scale_a * u_pattern_size_a, u_tile_units_to_pixels, a_pos);\\n    v_pos_b = get_pattern_pos(u_pixel_coord_upper, u_pixel_coord_lower, u_scale_b * u_pattern_size_b, u_tile_units_to_pixels, a_pos);\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},fillPattern:{fragmentSource:\"uniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform vec2 u_texsize;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a / u_texsize, u_pattern_br_a / u_texsize, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b / u_texsize, u_pattern_br_b / u_texsize, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n\\n    v_pos_a = get_pattern_pos(u_pixel_coord_upper, u_pixel_coord_lower, u_scale_a * u_pattern_size_a, u_tile_units_to_pixels, a_pos);\\n    v_pos_b = get_pattern_pos(u_pixel_coord_upper, u_pixel_coord_lower, u_scale_b * u_pattern_size_b, u_tile_units_to_pixels, a_pos);\\n}\\n\"},fillExtrusion:{fragmentSource:\"varying vec4 v_color;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define highp vec4 color\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float base\\n    #pragma mapbox: initialize lowp float height\\n    #pragma mapbox: initialize highp vec4 color\\n\\n    gl_FragColor = v_color;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec3 u_lightcolor;\\nuniform lowp vec3 u_lightpos;\\nuniform lowp float u_lightintensity;\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_normal_ed;\\n\\nvarying vec4 v_color;\\n\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n\\n#pragma mapbox: define highp vec4 color\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float base\\n    #pragma mapbox: initialize lowp float height\\n    #pragma mapbox: initialize highp vec4 color\\n\\n    vec3 normal = a_normal_ed.xyz;\\n\\n    base = max(0.0, base);\\n    height = max(0.0, height);\\n\\n    float t = mod(normal.x, 2.0);\\n\\n    gl_Position = u_matrix * vec4(a_pos, t > 0.0 ? height : base, 1);\\n\\n    // Relative luminance (how dark/bright is the surface color?)\\n    float colorvalue = color.r * 0.2126 + color.g * 0.7152 + color.b * 0.0722;\\n\\n    v_color = vec4(0.0, 0.0, 0.0, 1.0);\\n\\n    // Add slight ambient lighting so no extrusions are totally black\\n    vec4 ambientlight = vec4(0.03, 0.03, 0.03, 1.0);\\n    color += ambientlight;\\n\\n    // Calculate cos(theta), where theta is the angle between surface normal and diffuse light ray\\n    float directional = clamp(dot(normal / 16384.0, u_lightpos), 0.0, 1.0);\\n\\n    // Adjust directional so that\\n    // the range of values for highlight/shading is narrower\\n    // with lower light intensity\\n    // and with lighter/brighter surface colors\\n    directional = mix((1.0 - u_lightintensity), max((1.0 - colorvalue + u_lightintensity), 1.0), directional);\\n\\n    // Add gradient along z axis of side surfaces\\n    if (normal.y != 0.0) {\\n        directional *= clamp((t + base) * pow(height / 150.0, 0.5), mix(0.7, 0.98, 1.0 - u_lightintensity), 1.0);\\n    }\\n\\n    // Assign final color based on surface + ambient light color, diffuse light directional, and light color\\n    // with lower bounds adjusted to hue of light\\n    // so that shading is tinted with the complementary (opposite) color to the light color\\n    v_color.r += clamp(color.r * directional * u_lightcolor.r, mix(0.0, 0.3, 1.0 - u_lightcolor.r), 1.0);\\n    v_color.g += clamp(color.g * directional * u_lightcolor.g, mix(0.0, 0.3, 1.0 - u_lightcolor.g), 1.0);\\n    v_color.b += clamp(color.b * directional * u_lightcolor.b, mix(0.0, 0.3, 1.0 - u_lightcolor.b), 1.0);\\n}\\n\"},fillExtrusionPattern:{fragmentSource:\"uniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform vec2 u_texsize;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec4 v_lighting;\\n\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float base\\n    #pragma mapbox: initialize lowp float height\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a / u_texsize, u_pattern_br_a / u_texsize, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b / u_texsize, u_pattern_br_b / u_texsize, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    vec4 mixedColor = mix(color1, color2, u_mix);\\n\\n    gl_FragColor = mixedColor * v_lighting;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\nuniform float u_height_factor;\\n\\nuniform vec3 u_lightcolor;\\nuniform lowp vec3 u_lightpos;\\nuniform lowp float u_lightintensity;\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_normal_ed;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec4 v_lighting;\\nvarying float v_directional;\\n\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float base\\n    #pragma mapbox: initialize lowp float height\\n\\n    vec3 normal = a_normal_ed.xyz;\\n    float edgedistance = a_normal_ed.w;\\n\\n    base = max(0.0, base);\\n    height = max(0.0, height);\\n\\n    float t = mod(normal.x, 2.0);\\n    float z = t > 0.0 ? height : base;\\n\\n    gl_Position = u_matrix * vec4(a_pos, z, 1);\\n\\n    vec2 pos = normal.x == 1.0 && normal.y == 0.0 && normal.z == 16384.0\\n        ? a_pos // extrusion top\\n        : vec2(edgedistance, z * u_height_factor); // extrusion side\\n\\n    v_pos_a = get_pattern_pos(u_pixel_coord_upper, u_pixel_coord_lower, u_scale_a * u_pattern_size_a, u_tile_units_to_pixels, pos);\\n    v_pos_b = get_pattern_pos(u_pixel_coord_upper, u_pixel_coord_lower, u_scale_b * u_pattern_size_b, u_tile_units_to_pixels, pos);\\n\\n    v_lighting = vec4(0.0, 0.0, 0.0, 1.0);\\n    float directional = clamp(dot(normal / 16383.0, u_lightpos), 0.0, 1.0);\\n    directional = mix((1.0 - u_lightintensity), max((0.5 + u_lightintensity), 1.0), directional);\\n\\n    if (normal.y != 0.0) {\\n        directional *= clamp((t + base) * pow(height / 150.0, 0.5), mix(0.7, 0.98, 1.0 - u_lightintensity), 1.0);\\n    }\\n\\n    v_lighting.rgb += clamp(directional * u_lightcolor, mix(vec3(0.0), vec3(0.3), 1.0 - u_lightcolor), vec3(1.0));\\n}\\n\"},extrusionTexture:{fragmentSource:\"uniform sampler2D u_image;\\nuniform float u_opacity;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_FragColor = texture2D(u_image, v_pos) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(0.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_world;\\nattribute vec2 a_pos;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos * u_world, 0, 1);\\n\\n    v_pos.x = a_pos.x;\\n    v_pos.y = 1.0 - a_pos.y;\\n}\\n\"},hillshadePrepare:{fragmentSource:\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\n\\nuniform sampler2D u_image;\\nvarying vec2 v_pos;\\nuniform vec2 u_dimension;\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nfloat getElevation(vec2 coord, float bias) {\\n    // Convert encoded elevation value to meters\\n    vec4 data = texture2D(u_image, coord) * 255.0;\\n    return (data.r + data.g * 256.0 + data.b * 256.0 * 256.0) / 4.0;\\n}\\n\\nvoid main() {\\n    vec2 epsilon = 1.0 / u_dimension;\\n\\n    // queried pixels:\\n    // +-----------+\\n    // |   |   |   |\\n    // | a | b | c |\\n    // |   |   |   |\\n    // +-----------+\\n    // |   |   |   |\\n    // | d | e | f |\\n    // |   |   |   |\\n    // +-----------+\\n    // |   |   |   |\\n    // | g | h | i |\\n    // |   |   |   |\\n    // +-----------+\\n\\n    float a = getElevation(v_pos + vec2(-epsilon.x, -epsilon.y), 0.0);\\n    float b = getElevation(v_pos + vec2(0, -epsilon.y), 0.0);\\n    float c = getElevation(v_pos + vec2(epsilon.x, -epsilon.y), 0.0);\\n    float d = getElevation(v_pos + vec2(-epsilon.x, 0), 0.0);\\n    float e = getElevation(v_pos, 0.0);\\n    float f = getElevation(v_pos + vec2(epsilon.x, 0), 0.0);\\n    float g = getElevation(v_pos + vec2(-epsilon.x, epsilon.y), 0.0);\\n    float h = getElevation(v_pos + vec2(0, epsilon.y), 0.0);\\n    float i = getElevation(v_pos + vec2(epsilon.x, epsilon.y), 0.0);\\n\\n    // here we divide the x and y slopes by 8 * pixel size\\n    // where pixel size (aka meters/pixel) is:\\n    // circumference of the world / (pixels per tile * number of tiles)\\n    // which is equivalent to: 8 * 40075016.6855785 / (512 * pow(2, u_zoom))\\n    // which can be reduced to: pow(2, 19.25619978527 - u_zoom)\\n    // we want to vertically exaggerate the hillshading though, because otherwise\\n    // it is barely noticeable at low zooms. to do this, we multiply this by some\\n    // scale factor pow(2, (u_zoom - u_maxzoom) * a) where a is an arbitrary value\\n    // Here we use a=0.3 which works out to the expression below. see \\n    // nickidlugash's awesome breakdown for more info\\n    // https://github.com/mapbox/mapbox-gl-js/pull/5286#discussion_r148419556\\n    float exaggeration = u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;\\n\\n    vec2 deriv = vec2(\\n        (c + f + f + i) - (a + d + d + g),\\n        (g + h + h + i) - (a + b + b + c)\\n    ) /  pow(2.0, (u_zoom - u_maxzoom) * exaggeration + 19.2562 - u_zoom);\\n\\n    gl_FragColor = clamp(vec4(\\n        deriv.x / 2.0 + 0.5,\\n        deriv.y / 2.0 + 0.5,\\n        1.0,\\n        1.0), 0.0, 1.0);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (a_texture_pos / 8192.0) / 2.0 + 0.25;\\n}\\n\"},hillshade:{fragmentSource:\"uniform sampler2D u_image;\\nvarying vec2 v_pos;\\n\\nuniform vec2 u_latrange;\\nuniform vec2 u_light;\\nuniform vec4 u_shadow;\\nuniform vec4 u_highlight;\\nuniform vec4 u_accent;\\n\\n#define PI 3.141592653589793\\n\\nvoid main() {\\n    vec4 pixel = texture2D(u_image, v_pos);\\n\\n    vec2 deriv = ((pixel.rg * 2.0) - 1.0);\\n\\n    // We divide the slope by a scale factor based on the cosin of the pixel's approximate latitude\\n    // to account for mercator projection distortion. see #4807 for details\\n    float scaleFactor = cos(radians((u_latrange[0] - u_latrange[1]) * (1.0 - v_pos.y) + u_latrange[1]));\\n    // We also multiply the slope by an arbitrary z-factor of 1.25\\n    float slope = atan(1.25 * length(deriv) / scaleFactor);\\n    float aspect = deriv.x != 0.0 ? atan(deriv.y, -deriv.x) : PI / 2.0 * (deriv.y > 0.0 ? 1.0 : -1.0);\\n\\n    float intensity = u_light.x;\\n    // We add PI to make this property match the global light object, which adds PI/2 to the light's azimuthal\\n    // position property to account for 0deg corresponding to north/the top of the viewport in the style spec\\n    // and the original shader was written to accept (-illuminationDirection - 90) as the azimuthal.\\n    float azimuth = u_light.y + PI;\\n\\n    // We scale the slope exponentially based on intensity, using a calculation similar to\\n    // the exponential interpolation function in the style spec:\\n    // https://github.com/mapbox/mapbox-gl-js/blob/master/src/style-spec/expression/definitions/interpolate.js#L217-L228\\n    // so that higher intensity values create more opaque hillshading.\\n    float base = 1.875 - intensity * 1.75;\\n    float maxValue = 0.5 * PI;\\n    float scaledSlope = intensity != 0.5 ? ((pow(base, slope) - 1.0) / (pow(base, maxValue) - 1.0)) * maxValue : slope;\\n\\n    // The accent color is calculated with the cosine of the slope while the shade color is calculated with the sine\\n    // so that the accent color's rate of change eases in while the shade color's eases out.\\n    float accent = cos(scaledSlope);\\n    // We multiply both the accent and shade color by a clamped intensity value\\n    // so that intensities >= 0.5 do not additionally affect the color values\\n    // while intensity values < 0.5 make the overall color more transparent.\\n    vec4 accent_color = (1.0 - accent) * u_accent * clamp(intensity * 2.0, 0.0, 1.0);\\n    float shade = abs(mod((aspect + azimuth) / PI + 0.5, 2.0) - 1.0);\\n    vec4 shade_color = mix(u_shadow, u_highlight, shade) * sin(scaledSlope) * clamp(intensity * 2.0, 0.0, 1.0);\\n    gl_FragColor = accent_color * (1.0 - shade_color.a) + shade_color;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = a_texture_pos / 8192.0;\\n}\\n\"},line:{fragmentSource:\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_width2;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_width2.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_width2.t) or when fading out\\n    // (v_width2.s)\\n    float blur2 = (blur + 1.0 / DEVICE_PIXEL_RATIO) * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_width2.t - blur2), v_width2.s - dist) / blur2, 0.0, 1.0);\\n\\n    gl_FragColor = color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"\\n\\n// the distance over which the line edge fades out.\\n// Retina devices need a smaller distance to avoid aliasing.\\n#define ANTIALIASING 1.0 / DEVICE_PIXEL_RATIO / 2.0\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec4 a_pos_normal;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform vec2 u_gl_units_to_pixels;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying float v_gamma_scale;\\nvarying highp float v_linesofar;\\n\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n    #pragma mapbox: initialize mediump float gapwidth\\n    #pragma mapbox: initialize lowp float offset\\n    #pragma mapbox: initialize mediump float width\\n\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    v_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * 2.0;\\n\\n    vec2 pos = a_pos_normal.xy;\\n\\n    // x is 1 if it's a round cap, 0 otherwise\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = a_pos_normal.zw;\\n    v_normal = normal;\\n\\n    // these transformations used to be applied in the JS and native code bases.\\n    // moved them into the shader for clarity and simplicity.\\n    gapwidth = gapwidth / 2.0;\\n    float halfwidth = width / 2.0;\\n    offset = -1.0 * offset;\\n\\n    float inset = gapwidth + (gapwidth > 0.0 ? ANTIALIASING : 0.0);\\n    float outset = gapwidth + halfwidth * (gapwidth > 0.0 ? 2.0 : 1.0) + ANTIALIASING;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset2 = offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    vec4 projected_extrude = u_matrix * vec4(dist / u_ratio, 0.0, 0.0);\\n    gl_Position = u_matrix * vec4(pos + offset2 / u_ratio, 0.0, 1.0) + projected_extrude;\\n\\n    // calculate how much the perspective view squishes or stretches the extrude\\n    float extrude_length_without_perspective = length(dist);\\n    float extrude_length_with_perspective = length(projected_extrude.xy / gl_Position.w * u_gl_units_to_pixels);\\n    v_gamma_scale = extrude_length_without_perspective / extrude_length_with_perspective;\\n\\n    v_width2 = vec2(outset, inset);\\n}\\n\"},lineGradient:{fragmentSource:\"\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_width2;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\nvarying highp float v_lineprogress;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_width2.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_width2.t) or when fading out\\n    // (v_width2.s)\\n    float blur2 = (blur + 1.0 / DEVICE_PIXEL_RATIO) * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_width2.t - blur2), v_width2.s - dist) / blur2, 0.0, 1.0);\\n\\n    // For gradient lines, v_lineprogress is the ratio along the entire line,\\n    // scaled to [0, 2^15), and the gradient ramp is stored in a texture.\\n    vec4 color = texture2D(u_image, vec2(v_lineprogress, 0.5));\\n\\n    gl_FragColor = color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"\\n// the attribute conveying progress along a line is scaled to [0, 2^15)\\n#define MAX_LINE_DISTANCE 32767.0\\n\\n// the distance over which the line edge fades out.\\n// Retina devices need a smaller distance to avoid aliasing.\\n#define ANTIALIASING 1.0 / DEVICE_PIXEL_RATIO / 2.0\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec4 a_pos_normal;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform vec2 u_gl_units_to_pixels;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying float v_gamma_scale;\\nvarying highp float v_lineprogress;\\n\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n    #pragma mapbox: initialize mediump float gapwidth\\n    #pragma mapbox: initialize lowp float offset\\n    #pragma mapbox: initialize mediump float width\\n\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    v_lineprogress = (floor(a_data.z / 4.0) + a_data.w * 64.0) * 2.0 / MAX_LINE_DISTANCE;\\n\\n    vec2 pos = a_pos_normal.xy;\\n\\n    // x is 1 if it's a round cap, 0 otherwise\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = a_pos_normal.zw;\\n    v_normal = normal;\\n\\n    // these transformations used to be applied in the JS and native code bases.\\n    // moved them into the shader for clarity and simplicity.\\n    gapwidth = gapwidth / 2.0;\\n    float halfwidth = width / 2.0;\\n    offset = -1.0 * offset;\\n\\n    float inset = gapwidth + (gapwidth > 0.0 ? ANTIALIASING : 0.0);\\n    float outset = gapwidth + halfwidth * (gapwidth > 0.0 ? 2.0 : 1.0) + ANTIALIASING;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset2 = offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    vec4 projected_extrude = u_matrix * vec4(dist / u_ratio, 0.0, 0.0);\\n    gl_Position = u_matrix * vec4(pos + offset2 / u_ratio, 0.0, 1.0) + projected_extrude;\\n\\n    // calculate how much the perspective view squishes or stretches the extrude\\n    float extrude_length_without_perspective = length(dist);\\n    float extrude_length_with_perspective = length(projected_extrude.xy / gl_Position.w * u_gl_units_to_pixels);\\n    v_gamma_scale = extrude_length_without_perspective / extrude_length_with_perspective;\\n\\n    v_width2 = vec2(outset, inset);\\n}\\n\"},linePattern:{fragmentSource:\"uniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform vec2 u_texsize;\\nuniform float u_fade;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_width2.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_width2.t) or when fading out\\n    // (v_width2.s)\\n    float blur2 = (blur + 1.0 / DEVICE_PIXEL_RATIO) * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_width2.t - blur2), v_width2.s - dist) / blur2, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n\\n    // v_normal.y is 0 at the midpoint of the line, -1 at the lower edge, 1 at the upper edge\\n    // we clamp the line width outset to be between 0 and half the pattern height plus padding (2.0)\\n    // to ensure we don't sample outside the designated symbol on the sprite sheet.\\n    // 0.5 is added to shift the component to be bounded between 0 and 1 for interpolation of\\n    // the texture coordinate\\n    float y_a = 0.5 + (v_normal.y * clamp(v_width2.s, 0.0, (u_pattern_size_a.y + 2.0) / 2.0) / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * clamp(v_width2.s, 0.0, (u_pattern_size_b.y + 2.0) / 2.0) / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a / u_texsize, u_pattern_br_a / u_texsize, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b / u_texsize, u_pattern_br_b / u_texsize, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    gl_FragColor = color * alpha * opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\n// the distance over which the line edge fades out.\\n// Retina devices need a smaller distance to avoid aliasing.\\n#define ANTIALIASING 1.0 / DEVICE_PIXEL_RATIO / 2.0\\n\\nattribute vec4 a_pos_normal;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform vec2 u_gl_units_to_pixels;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n    #pragma mapbox: initialize lowp float offset\\n    #pragma mapbox: initialize mediump float gapwidth\\n    #pragma mapbox: initialize mediump float width\\n\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    vec2 pos = a_pos_normal.xy;\\n\\n    // x is 1 if it's a round cap, 0 otherwise\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = a_pos_normal.zw;\\n    v_normal = normal;\\n\\n    // these transformations used to be applied in the JS and native code bases.\\n    // moved them into the shader for clarity and simplicity.\\n    gapwidth = gapwidth / 2.0;\\n    float halfwidth = width / 2.0;\\n    offset = -1.0 * offset;\\n\\n    float inset = gapwidth + (gapwidth > 0.0 ? ANTIALIASING : 0.0);\\n    float outset = gapwidth + halfwidth * (gapwidth > 0.0 ? 2.0 : 1.0) + ANTIALIASING;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset2 = offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    vec4 projected_extrude = u_matrix * vec4(dist / u_ratio, 0.0, 0.0);\\n    gl_Position = u_matrix * vec4(pos + offset2 / u_ratio, 0.0, 1.0) + projected_extrude;\\n\\n    // calculate how much the perspective view squishes or stretches the extrude\\n    float extrude_length_without_perspective = length(dist);\\n    float extrude_length_with_perspective = length(projected_extrude.xy / gl_Position.w * u_gl_units_to_pixels);\\n    v_gamma_scale = extrude_length_without_perspective / extrude_length_with_perspective;\\n\\n    v_linesofar = a_linesofar;\\n    v_width2 = vec2(outset, inset);\\n}\\n\"},lineSDF:{fragmentSource:\"\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n    #pragma mapbox: initialize mediump float width\\n    #pragma mapbox: initialize lowp float floorwidth\\n\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_width2.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_width2.t) or when fading out\\n    // (v_width2.s)\\n    float blur2 = (blur + 1.0 / DEVICE_PIXEL_RATIO) * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_width2.t - blur2), v_width2.s - dist) / blur2, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma / floorwidth, 0.5 + u_sdfgamma / floorwidth, sdfdist);\\n\\n    gl_FragColor = color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\n// the distance over which the line edge fades out.\\n// Retina devices need a smaller distance to avoid aliasing.\\n#define ANTIALIASING 1.0 / DEVICE_PIXEL_RATIO / 2.0\\n\\nattribute vec4 a_pos_normal;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform vec2 u_gl_units_to_pixels;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_width2;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 color\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n    #pragma mapbox: initialize mediump float gapwidth\\n    #pragma mapbox: initialize lowp float offset\\n    #pragma mapbox: initialize mediump float width\\n    #pragma mapbox: initialize lowp float floorwidth\\n\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    vec2 pos = a_pos_normal.xy;\\n\\n    // x is 1 if it's a round cap, 0 otherwise\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = a_pos_normal.zw;\\n    v_normal = normal;\\n\\n    // these transformations used to be applied in the JS and native code bases.\\n    // moved them into the shader for clarity and simplicity.\\n    gapwidth = gapwidth / 2.0;\\n    float halfwidth = width / 2.0;\\n    offset = -1.0 * offset;\\n\\n    float inset = gapwidth + (gapwidth > 0.0 ? ANTIALIASING : 0.0);\\n    float outset = gapwidth + halfwidth * (gapwidth > 0.0 ? 2.0 : 1.0) + ANTIALIASING;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist =outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset2 = offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    vec4 projected_extrude = u_matrix * vec4(dist / u_ratio, 0.0, 0.0);\\n    gl_Position = u_matrix * vec4(pos + offset2 / u_ratio, 0.0, 1.0) + projected_extrude;\\n\\n    // calculate how much the perspective view squishes or stretches the extrude\\n    float extrude_length_without_perspective = length(dist);\\n    float extrude_length_with_perspective = length(projected_extrude.xy / gl_Position.w * u_gl_units_to_pixels);\\n    v_gamma_scale = extrude_length_without_perspective / extrude_length_with_perspective;\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x / floorwidth, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x / floorwidth, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    v_width2 = vec2(outset, inset);\\n}\\n\"},raster:{fragmentSource:\"uniform float u_fade_t;\\nuniform float u_opacity;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    if (color0.a > 0.0) {\\n        color0.rgb = color0.rgb / color0.a;\\n    }\\n    if (color1.a > 0.0) {\\n        color1.rgb = color1.rgb / color1.a;\\n    }\\n    vec4 color = mix(color0, color1, u_fade_t);\\n    color.a *= u_opacity;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb) * color.a, color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"uniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    // We are using Int16 for texture position coordinates to give us enough precision for\\n    // fractional coordinates. We use 8192 to scale the texture coordinates in the buffer\\n    // as an arbitrarily high number to preserve adequate precision when rendering.\\n    // This is also the same value as the EXTENT we are using for our tile buffer pos coordinates,\\n    // so math for modifying either is consistent.\\n    v_pos0 = (((a_texture_pos / 8192.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},symbolIcon:{fragmentSource:\"uniform sampler2D u_texture;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_tex;\\nvarying float v_fade_opacity;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    lowp float alpha = opacity * v_fade_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"const float PI = 3.141592653589793;\\n\\nattribute vec4 a_pos_offset;\\nattribute vec4 a_data;\\nattribute vec3 a_projected_pos;\\nattribute float a_fade_opacity;\\n\\nuniform bool u_is_size_zoom_constant;\\nuniform bool u_is_size_feature_constant;\\nuniform highp float u_size_t; // used to interpolate between zoom stops when size is a composite function\\nuniform highp float u_size; // used when size is both zoom and feature constant\\nuniform highp float u_camera_to_center_distance;\\nuniform highp float u_pitch;\\nuniform bool u_rotate_symbol;\\nuniform highp float u_aspect_ratio;\\nuniform float u_fade_change;\\n\\n#pragma mapbox: define lowp float opacity\\n\\nuniform mat4 u_matrix;\\nuniform mat4 u_label_plane_matrix;\\nuniform mat4 u_gl_coord_matrix;\\n\\nuniform bool u_is_text;\\nuniform bool u_pitch_with_map;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying float v_fade_opacity;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    vec2 a_pos = a_pos_offset.xy;\\n    vec2 a_offset = a_pos_offset.zw;\\n\\n    vec2 a_tex = a_data.xy;\\n    vec2 a_size = a_data.zw;\\n\\n    highp float segment_angle = -a_projected_pos[2];\\n\\n    float size;\\n    if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {\\n        size = mix(a_size[0], a_size[1], u_size_t) / 10.0;\\n    } else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {\\n        size = a_size[0] / 10.0;\\n    } else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {\\n        size = u_size;\\n    } else {\\n        size = u_size;\\n    }\\n\\n    vec4 projectedPoint = u_matrix * vec4(a_pos, 0, 1);\\n    highp float camera_to_anchor_distance = projectedPoint.w;\\n    // See comments in symbol_sdf.vertex\\n    highp float distance_ratio = u_pitch_with_map ?\\n        camera_to_anchor_distance / u_camera_to_center_distance :\\n        u_camera_to_center_distance / camera_to_anchor_distance;\\n    highp float perspective_ratio = clamp(\\n            0.5 + 0.5 * distance_ratio,\\n            0.0, // Prevents oversized near-field symbols in pitched/overzoomed tiles\\n            4.0);\\n\\n    size *= perspective_ratio;\\n\\n    float fontScale = u_is_text ? size / 24.0 : size;\\n\\n    highp float symbol_rotation = 0.0;\\n    if (u_rotate_symbol) {\\n        // See comments in symbol_sdf.vertex\\n        vec4 offsetProjectedPoint = u_matrix * vec4(a_pos + vec2(1, 0), 0, 1);\\n\\n        vec2 a = projectedPoint.xy / projectedPoint.w;\\n        vec2 b = offsetProjectedPoint.xy / offsetProjectedPoint.w;\\n\\n        symbol_rotation = atan((b.y - a.y) / u_aspect_ratio, b.x - a.x);\\n    }\\n\\n    highp float angle_sin = sin(segment_angle + symbol_rotation);\\n    highp float angle_cos = cos(segment_angle + symbol_rotation);\\n    mat2 rotation_matrix = mat2(angle_cos, -1.0 * angle_sin, angle_sin, angle_cos);\\n\\n    vec4 projected_pos = u_label_plane_matrix * vec4(a_projected_pos.xy, 0.0, 1.0);\\n    gl_Position = u_gl_coord_matrix * vec4(projected_pos.xy / projected_pos.w + rotation_matrix * (a_offset / 32.0 * fontScale), 0.0, 1.0);\\n\\n    v_tex = a_tex / u_texsize;\\n    vec2 fade_opacity = unpack_opacity(a_fade_opacity);\\n    float fade_change = fade_opacity[1] > 0.5 ? u_fade_change : -u_fade_change;\\n    v_fade_opacity = max(0.0, min(1.0, fade_opacity[0] + fade_change));\\n}\\n\"},symbolSDF:{fragmentSource:\"#define SDF_PX 8.0\\n#define EDGE_GAMMA 0.105/DEVICE_PIXEL_RATIO\\n\\nuniform bool u_is_halo;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\n\\nuniform sampler2D u_texture;\\nuniform highp float u_gamma_scale;\\nuniform bool u_is_text;\\n\\nvarying vec2 v_data0;\\nvarying vec3 v_data1;\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 fill_color\\n    #pragma mapbox: initialize highp vec4 halo_color\\n    #pragma mapbox: initialize lowp float opacity\\n    #pragma mapbox: initialize lowp float halo_width\\n    #pragma mapbox: initialize lowp float halo_blur\\n\\n    vec2 tex = v_data0.xy;\\n    float gamma_scale = v_data1.x;\\n    float size = v_data1.y;\\n    float fade_opacity = v_data1[2];\\n\\n    float fontScale = u_is_text ? size / 24.0 : size;\\n\\n    lowp vec4 color = fill_color;\\n    highp float gamma = EDGE_GAMMA / (fontScale * u_gamma_scale);\\n    lowp float buff = (256.0 - 64.0) / 256.0;\\n    if (u_is_halo) {\\n        color = halo_color;\\n        gamma = (halo_blur * 1.19 / SDF_PX + EDGE_GAMMA) / (fontScale * u_gamma_scale);\\n        buff = (6.0 - halo_width / fontScale) / SDF_PX;\\n    }\\n\\n    lowp float dist = texture2D(u_texture, tex).a;\\n    highp float gamma_scaled = gamma * gamma_scale;\\n    highp float alpha = smoothstep(buff - gamma_scaled, buff + gamma_scaled, dist);\\n\\n    gl_FragColor = color * (alpha * opacity * fade_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"const float PI = 3.141592653589793;\\n\\nattribute vec4 a_pos_offset;\\nattribute vec4 a_data;\\nattribute vec3 a_projected_pos;\\nattribute float a_fade_opacity;\\n\\n// contents of a_size vary based on the type of property value\\n// used for {text,icon}-size.\\n// For constants, a_size is disabled.\\n// For source functions, we bind only one value per vertex: the value of {text,icon}-size evaluated for the current feature.\\n// For composite functions:\\n// [ text-size(lowerZoomStop, feature),\\n//   text-size(upperZoomStop, feature) ]\\nuniform bool u_is_size_zoom_constant;\\nuniform bool u_is_size_feature_constant;\\nuniform highp float u_size_t; // used to interpolate between zoom stops when size is a composite function\\nuniform highp float u_size; // used when size is both zoom and feature constant\\n\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\n\\nuniform mat4 u_matrix;\\nuniform mat4 u_label_plane_matrix;\\nuniform mat4 u_gl_coord_matrix;\\n\\nuniform bool u_is_text;\\nuniform bool u_pitch_with_map;\\nuniform highp float u_pitch;\\nuniform bool u_rotate_symbol;\\nuniform highp float u_aspect_ratio;\\nuniform highp float u_camera_to_center_distance;\\nuniform float u_fade_change;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_data0;\\nvarying vec3 v_data1;\\n\\nvoid main() {\\n    #pragma mapbox: initialize highp vec4 fill_color\\n    #pragma mapbox: initialize highp vec4 halo_color\\n    #pragma mapbox: initialize lowp float opacity\\n    #pragma mapbox: initialize lowp float halo_width\\n    #pragma mapbox: initialize lowp float halo_blur\\n\\n    vec2 a_pos = a_pos_offset.xy;\\n    vec2 a_offset = a_pos_offset.zw;\\n\\n    vec2 a_tex = a_data.xy;\\n    vec2 a_size = a_data.zw;\\n\\n    highp float segment_angle = -a_projected_pos[2];\\n    float size;\\n\\n    if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {\\n        size = mix(a_size[0], a_size[1], u_size_t) / 10.0;\\n    } else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {\\n        size = a_size[0] / 10.0;\\n    } else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {\\n        size = u_size;\\n    } else {\\n        size = u_size;\\n    }\\n\\n    vec4 projectedPoint = u_matrix * vec4(a_pos, 0, 1);\\n    highp float camera_to_anchor_distance = projectedPoint.w;\\n    // If the label is pitched with the map, layout is done in pitched space,\\n    // which makes labels in the distance smaller relative to viewport space.\\n    // We counteract part of that effect by multiplying by the perspective ratio.\\n    // If the label isn't pitched with the map, we do layout in viewport space,\\n    // which makes labels in the distance larger relative to the features around\\n    // them. We counteract part of that effect by dividing by the perspective ratio.\\n    highp float distance_ratio = u_pitch_with_map ?\\n        camera_to_anchor_distance / u_camera_to_center_distance :\\n        u_camera_to_center_distance / camera_to_anchor_distance;\\n    highp float perspective_ratio = clamp(\\n        0.5 + 0.5 * distance_ratio,\\n        0.0, // Prevents oversized near-field symbols in pitched/overzoomed tiles\\n        4.0);\\n\\n    size *= perspective_ratio;\\n\\n    float fontScale = u_is_text ? size / 24.0 : size;\\n\\n    highp float symbol_rotation = 0.0;\\n    if (u_rotate_symbol) {\\n        // Point labels with 'rotation-alignment: map' are horizontal with respect to tile units\\n        // To figure out that angle in projected space, we draw a short horizontal line in tile\\n        // space, project it, and measure its angle in projected space.\\n        vec4 offsetProjectedPoint = u_matrix * vec4(a_pos + vec2(1, 0), 0, 1);\\n\\n        vec2 a = projectedPoint.xy / projectedPoint.w;\\n        vec2 b = offsetProjectedPoint.xy / offsetProjectedPoint.w;\\n\\n        symbol_rotation = atan((b.y - a.y) / u_aspect_ratio, b.x - a.x);\\n    }\\n\\n    highp float angle_sin = sin(segment_angle + symbol_rotation);\\n    highp float angle_cos = cos(segment_angle + symbol_rotation);\\n    mat2 rotation_matrix = mat2(angle_cos, -1.0 * angle_sin, angle_sin, angle_cos);\\n\\n    vec4 projected_pos = u_label_plane_matrix * vec4(a_projected_pos.xy, 0.0, 1.0);\\n    gl_Position = u_gl_coord_matrix * vec4(projected_pos.xy / projected_pos.w + rotation_matrix * (a_offset / 32.0 * fontScale), 0.0, 1.0);\\n    float gamma_scale = gl_Position.w;\\n\\n    vec2 tex = a_tex / u_texsize;\\n    vec2 fade_opacity = unpack_opacity(a_fade_opacity);\\n    float fade_change = fade_opacity[1] > 0.5 ? u_fade_change : -u_fade_change;\\n    float interpolated_fade_opacity = max(0.0, min(1.0, fade_opacity[0] + fade_change));\\n\\n    v_data0 = vec2(tex.x, tex.y);\\n    v_data1 = vec3(gamma_scale, size, interpolated_fade_opacity);\\n}\\n\"}},ii=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,ni=function(t){var e=ei[t],i={};e.fragmentSource=e.fragmentSource.replace(ii,function(t,e,n,o,r){return i[r]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+r+\"\\nvarying \"+n+\" \"+o+\" \"+r+\";\\n#else\\nuniform \"+n+\" \"+o+\" u_\"+r+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+r+\"\\n    \"+n+\" \"+o+\" \"+r+\" = u_\"+r+\";\\n#endif\\n\"}),e.vertexSource=e.vertexSource.replace(ii,function(t,e,n,o,r){var a=\"float\"===o?\"vec2\":\"vec4\";return i[r]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+r+\"\\nuniform lowp float a_\"+r+\"_t;\\nattribute \"+n+\" \"+a+\" a_\"+r+\";\\nvarying \"+n+\" \"+o+\" \"+r+\";\\n#else\\nuniform \"+n+\" \"+o+\" u_\"+r+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+r+\"\\n    \"+r+\" = unpack_mix_\"+a+\"(a_\"+r+\", a_\"+r+\"_t);\\n#else\\n    \"+n+\" \"+o+\" \"+r+\" = u_\"+r+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+r+\"\\nuniform lowp float a_\"+r+\"_t;\\nattribute \"+n+\" \"+a+\" a_\"+r+\";\\n#else\\nuniform \"+n+\" \"+o+\" u_\"+r+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+r+\"\\n    \"+n+\" \"+o+\" \"+r+\" = unpack_mix_\"+a+\"(a_\"+r+\", a_\"+r+\"_t);\\n#else\\n    \"+n+\" \"+o+\" \"+r+\" = u_\"+r+\";\\n#endif\\n\"});};for(var oi in ei)ni(oi);var ri=ei,ai=function(t,e,i,n){var o=t.gl;this.program=o.createProgram();var a=i.defines().concat(\"#define DEVICE_PIXEL_RATIO \"+r.devicePixelRatio.toFixed(1));n&&a.push(\"#define OVERDRAW_INSPECTOR;\");var s=a.concat(ri.prelude.fragmentSource,e.fragmentSource).join(\"\\n\"),l=a.concat(ri.prelude.vertexSource,e.vertexSource).join(\"\\n\"),c=o.createShader(o.FRAGMENT_SHADER);o.shaderSource(c,s),o.compileShader(c),o.attachShader(this.program,c);var u=o.createShader(o.VERTEX_SHADER);o.shaderSource(u,l),o.compileShader(u),o.attachShader(this.program,u);for(var h=i.layoutAttributes||[],p=0;p<h.length;p++)o.bindAttribLocation(this.program,p,h[p].name);o.linkProgram(this.program),this.numAttributes=o.getProgramParameter(this.program,o.ACTIVE_ATTRIBUTES),this.attributes={},this.uniforms={};for(var d=0;d<this.numAttributes;d++){var f=o.getActiveAttrib(this.program,d);f&&(this.attributes[f.name]=o.getAttribLocation(this.program,f.name));}for(var m=o.getProgramParameter(this.program,o.ACTIVE_UNIFORMS),_=0;_<m;_++){var g=o.getActiveUniform(this.program,_);g&&(this.uniforms[g.name]=o.getUniformLocation(this.program,g.name));}};function si(e,i,n,o,r){for(var a=0;a<n.length;a++){var s=n[a];if(o.isLessThan(s.tileID))break;if(i.key===s.tileID.key)return;if(s.tileID.isChildOf(i)){for(var l=i.children(1/0),c=0;c<l.length;c++){si(e,l[c],n.slice(a),o,r);}return}}var u=i.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,i.canonical.x-(e.canonical.x<<u),i.canonical.y-(e.canonical.y<<u));r[h.key]=r[h.key]||h;}function li(t,e,i,n,o){var r=t.context,a=r.gl,s=o?t.useProgram(\"collisionCircle\"):t.useProgram(\"collisionBox\");r.setDepthMode($t.disabled),r.setStencilMode(Gt.disabled),r.setColorMode(t.colorModeForRenderPass());for(var l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(i);if(h){var p=o?h.collisionCircle:h.collisionBox;if(p){a.uniformMatrix4fv(s.uniforms.u_matrix,!1,c.posMatrix),o||r.lineWidth.set(1),a.uniform1f(s.uniforms.u_camera_to_center_distance,t.transform.cameraToCenterDistance);var d=ze(u,1,t.transform.zoom),f=Math.pow(2,t.transform.zoom-u.tileID.overscaledZ);a.uniform1f(s.uniforms.u_pixels_to_tile_units,d),a.uniform2f(s.uniforms.u_extrude_scale,t.transform.pixelsToGLUnits[0]/(d*f),t.transform.pixelsToGLUnits[1]/(d*f)),a.uniform1f(s.uniforms.u_overscale_factor,u.tileID.overscaleFactor()),s.draw(r,o?a.TRIANGLES:a.LINES,i.id,p.layoutVertexBuffer,p.indexBuffer,p.segments,null,p.collisionVertexBuffer,null);}}}}ai.prototype.draw=function(t,e,i,n,o,r,a,s,l){for(var c,u=t.gl,h=(c={},c[u.LINES]=2,c[u.TRIANGLES]=3,c)[e],p=0,d=r.get();p<d.length;p+=1){var f=d[p],m=f.vaos||(f.vaos={});(m[i]||(m[i]=new tt)).bind(t,this,n,a?a.getPaintVertexBuffers():[],o,f.vertexOffset,s,l),u.drawElements(e,f.primitiveLength*h,u.UNSIGNED_SHORT,f.primitiveOffset*h*2);}};var ci=t.mat4.identity(new Float32Array(16)),ui=t.default$19.layout;function hi(t,e,i,n,o,r,a,s,l,c){var u,h=t.context,p=h.gl,d=t.transform,f=\"map\"===s,m=\"map\"===l,_=f&&\"line\"===i.layout.get(\"symbol-placement\"),g=f&&!m&&!_,v=m;h.setDepthMode(v?t.depthModeForSublayer(0,$t.ReadOnly):$t.disabled);for(var y=0,x=n;y<x.length;y+=1){var b=x[y],w=e.getTile(b),E=w.getBucket(i);if(E){var T=o?E.text:E.icon;if(T&&T.segments.get().length){var I=T.programConfigurations.get(i.id),C=o||E.sdfIcons,S=o?E.textSizeData:E.iconSizeData;if(u||(u=t.useProgram(C?\"symbolSDF\":\"symbolIcon\",I),I.setUniforms(t.context,u,i.paint,{zoom:t.transform.zoom}),pi(u,t,i,o,g,m,S)),h.activeTexture.set(p.TEXTURE0),p.uniform1i(u.uniforms.u_texture,0),o)w.glyphAtlasTexture.bind(p.LINEAR,p.CLAMP_TO_EDGE),p.uniform2fv(u.uniforms.u_texsize,w.glyphAtlasTexture.size);else{var z=1!==i.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear,A=m||0!==d.pitch;w.iconAtlasTexture.bind(C||t.options.rotating||t.options.zooming||z||A?p.LINEAR:p.NEAREST,p.CLAMP_TO_EDGE),p.uniform2fv(u.uniforms.u_texsize,w.iconAtlasTexture.size);}p.uniformMatrix4fv(u.uniforms.u_matrix,!1,t.translatePosMatrix(b.posMatrix,w,r,a));var R=ze(w,1,t.transform.zoom),D=de(b.posMatrix,m,f,t.transform,R),M=fe(b.posMatrix,m,f,t.transform,R);p.uniformMatrix4fv(u.uniforms.u_gl_coord_matrix,!1,t.translatePosMatrix(M,w,r,a,!0)),_?(p.uniformMatrix4fv(u.uniforms.u_label_plane_matrix,!1,ci),ge(E,b.posMatrix,t,o,D,M,m,c)):p.uniformMatrix4fv(u.uniforms.u_label_plane_matrix,!1,D),p.uniform1f(u.uniforms.u_fade_change,t.options.fadeDuration?t.symbolFadeChange:1),di(u,I,t,i,w,T,o,C,m);}}}}function pi(e,i,n,o,r,a,s){var l=i.context.gl,c=i.transform;l.uniform1i(e.uniforms.u_pitch_with_map,a?1:0),l.uniform1f(e.uniforms.u_is_text,o?1:0),l.uniform1f(e.uniforms.u_pitch,c.pitch/360*2*Math.PI);var u=\"constant\"===s.functionType||\"source\"===s.functionType,h=\"constant\"===s.functionType||\"camera\"===s.functionType;l.uniform1i(e.uniforms.u_is_size_zoom_constant,u?1:0),l.uniform1i(e.uniforms.u_is_size_feature_constant,h?1:0),l.uniform1f(e.uniforms.u_camera_to_center_distance,c.cameraToCenterDistance);var p=t.evaluateSizeForZoom(s,c.zoom,ui.properties[o?\"text-size\":\"icon-size\"]);void 0!==p.uSizeT&&l.uniform1f(e.uniforms.u_size_t,p.uSizeT),void 0!==p.uSize&&l.uniform1f(e.uniforms.u_size,p.uSize),l.uniform1f(e.uniforms.u_aspect_ratio,c.width/c.height),l.uniform1i(e.uniforms.u_rotate_symbol,r?1:0);}function di(t,e,i,n,o,r,a,s,l){var c=i.context,u=c.gl,h=i.transform;if(s){var p=0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),d=l?Math.cos(h._pitch)*h.cameraToCenterDistance:1;u.uniform1f(t.uniforms.u_gamma_scale,d),p&&(u.uniform1f(t.uniforms.u_is_halo,1),fi(r,n,c,t)),u.uniform1f(t.uniforms.u_is_halo,0);}fi(r,n,c,t);}function fi(t,e,i,n){n.draw(i,i.gl.TRIANGLES,e.id,t.layoutVertexBuffer,t.indexBuffer,t.segments,t.programConfigurations.get(e.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer);}function mi(t,e,i,n,o,a,s,l,c){var u,h,p,d,f=e.context,m=f.gl,_=o.paint.get(\"line-dasharray\"),g=o.paint.get(\"line-pattern\");if(l||c){var v=1/ze(i,1,e.transform.tileZoom);if(_){u=e.lineAtlas.getDash(_.from,\"round\"===o.layout.get(\"line-cap\")),h=e.lineAtlas.getDash(_.to,\"round\"===o.layout.get(\"line-cap\"));var y=u.width*_.fromScale,x=h.width*_.toScale;m.uniform2f(t.uniforms.u_patternscale_a,v/y,-u.height/2),m.uniform2f(t.uniforms.u_patternscale_b,v/x,-h.height/2),m.uniform1f(t.uniforms.u_sdfgamma,e.lineAtlas.width/(256*Math.min(y,x)*r.devicePixelRatio)/2);}else if(g){if(p=e.imageManager.getPattern(g.from),d=e.imageManager.getPattern(g.to),!p||!d)return;m.uniform2f(t.uniforms.u_pattern_size_a,p.displaySize[0]*g.fromScale/v,p.displaySize[1]),m.uniform2f(t.uniforms.u_pattern_size_b,d.displaySize[0]*g.toScale/v,d.displaySize[1]);var b=e.imageManager.getPixelSize(),w=b.width,E=b.height;m.uniform2fv(t.uniforms.u_texsize,[w,E]);}m.uniform2f(t.uniforms.u_gl_units_to_pixels,1/e.transform.pixelsToGLUnits[0],1/e.transform.pixelsToGLUnits[1]);}l&&(_?(m.uniform1i(t.uniforms.u_image,0),f.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(f),m.uniform1f(t.uniforms.u_tex_y_a,u.y),m.uniform1f(t.uniforms.u_tex_y_b,h.y),m.uniform1f(t.uniforms.u_mix,_.t)):g&&(m.uniform1i(t.uniforms.u_image,0),f.activeTexture.set(m.TEXTURE0),e.imageManager.bind(f),m.uniform2fv(t.uniforms.u_pattern_tl_a,p.tl),m.uniform2fv(t.uniforms.u_pattern_br_a,p.br),m.uniform2fv(t.uniforms.u_pattern_tl_b,d.tl),m.uniform2fv(t.uniforms.u_pattern_br_b,d.br),m.uniform1f(t.uniforms.u_fade,g.t))),f.setStencilMode(e.stencilModeForClipping(a));var T=e.translatePosMatrix(a.posMatrix,i,o.paint.get(\"line-translate\"),o.paint.get(\"line-translate-anchor\"));if(m.uniformMatrix4fv(t.uniforms.u_matrix,!1,T),m.uniform1f(t.uniforms.u_ratio,1/ze(i,1,e.transform.zoom)),o.paint.get(\"line-gradient\")){f.activeTexture.set(m.TEXTURE0);var I=o.gradientTexture;if(!o.gradient)return;I||(I=o.gradientTexture=new M(f,o.gradient,m.RGBA)),I.bind(m.LINEAR,m.CLAMP_TO_EDGE),m.uniform1i(t.uniforms.u_image,0);}t.draw(f,m.TRIANGLES,o.id,n.layoutVertexBuffer,n.indexBuffer,n.segments,s);}var _i=function(t,e){if(!t)return!1;var i=e.imageManager.getPattern(t.from),n=e.imageManager.getPattern(t.to);return!i||!n},gi=function(t,e,i){var n=e.context,o=n.gl,r=e.imageManager.getPattern(t.from),a=e.imageManager.getPattern(t.to);o.uniform1i(i.uniforms.u_image,0),o.uniform2fv(i.uniforms.u_pattern_tl_a,r.tl),o.uniform2fv(i.uniforms.u_pattern_br_a,r.br),o.uniform2fv(i.uniforms.u_pattern_tl_b,a.tl),o.uniform2fv(i.uniforms.u_pattern_br_b,a.br);var s=e.imageManager.getPixelSize(),l=s.width,c=s.height;o.uniform2fv(i.uniforms.u_texsize,[l,c]),o.uniform1f(i.uniforms.u_mix,t.t),o.uniform2fv(i.uniforms.u_pattern_size_a,r.displaySize),o.uniform2fv(i.uniforms.u_pattern_size_b,a.displaySize),o.uniform1f(i.uniforms.u_scale_a,t.fromScale),o.uniform1f(i.uniforms.u_scale_b,t.toScale),n.activeTexture.set(o.TEXTURE0),e.imageManager.bind(e.context);},vi=function(t,e,i){var n=e.context.gl;n.uniform1f(i.uniforms.u_tile_units_to_pixels,1/ze(t,1,e.transform.tileZoom));var o=Math.pow(2,t.tileID.overscaledZ),r=t.tileSize*Math.pow(2,e.transform.tileZoom)/o,a=r*(t.tileID.canonical.x+t.tileID.wrap*o),s=r*t.tileID.canonical.y;n.uniform2f(i.uniforms.u_pixel_coord_upper,a>>16,s>>16),n.uniform2f(i.uniforms.u_pixel_coord_lower,65535&a,65535&s);};function yi(t,e,i,n,o){if(!_i(i.paint.get(\"fill-pattern\"),t))for(var r=!0,a=0,s=n;a<s.length;a+=1){var l=s[a],c=e.getTile(l),u=c.getBucket(i);u&&(t.context.setStencilMode(t.stencilModeForClipping(l)),o(t,e,i,c,l,u,r),r=!1);}}function xi(t,e,i,n,o,r,a){var s=t.context.gl,l=r.programConfigurations.get(i.id);wi(\"fill\",i.paint.get(\"fill-pattern\"),t,l,i,n,o,a).draw(t.context,s.TRIANGLES,i.id,r.layoutVertexBuffer,r.indexBuffer,r.segments,l);}function bi(t,e,i,n,o,r,a){var s=t.context.gl,l=r.programConfigurations.get(i.id),c=wi(\"fillOutline\",i.getPaintProperty(\"fill-outline-color\")?null:i.paint.get(\"fill-pattern\"),t,l,i,n,o,a);s.uniform2f(c.uniforms.u_world,s.drawingBufferWidth,s.drawingBufferHeight),c.draw(t.context,s.LINES,i.id,r.layoutVertexBuffer,r.indexBuffer2,r.segments2,l);}function wi(t,e,i,n,o,r,a,s){var l,c=i.context.program.get();return e?(l=i.useProgram(t+\"Pattern\",n),(s||l.program!==c)&&(n.setUniforms(i.context,l,o.paint,{zoom:i.transform.zoom}),gi(e,i,l)),vi(r,i,l)):(l=i.useProgram(t,n),(s||l.program!==c)&&n.setUniforms(i.context,l,o.paint,{zoom:i.transform.zoom})),i.context.gl.uniformMatrix4fv(l.uniforms.u_matrix,!1,i.translatePosMatrix(a.posMatrix,r,o.paint.get(\"fill-translate\"),o.paint.get(\"fill-translate-anchor\"))),l}var Ei=t.default$20.mat3,Ti=t.default$20.mat4,Ii=t.default$20.vec3;function Ci(t,e,i,n,o,r,a){var s=t.context,l=s.gl,c=i.paint.get(\"fill-extrusion-pattern\"),u=t.context.program.get(),h=r.programConfigurations.get(i.id),p=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",h);if((a||p.program!==u)&&h.setUniforms(s,p,i.paint,{zoom:t.transform.zoom}),c){if(_i(c,t))return;gi(c,t,p),vi(n,t,p),l.uniform1f(p.uniforms.u_height_factor,-Math.pow(2,o.overscaledZ)/n.tileSize/8);}t.context.gl.uniformMatrix4fv(p.uniforms.u_matrix,!1,t.translatePosMatrix(o.posMatrix,n,i.paint.get(\"fill-extrusion-translate\"),i.paint.get(\"fill-extrusion-translate-anchor\"))),function(t,e){var i=e.context.gl,n=e.style.light,o=n.properties.get(\"position\"),r=[o.x,o.y,o.z],a=Ei.create();\"viewport\"===n.properties.get(\"anchor\")&&Ei.fromRotation(a,-e.transform.angle);Ii.transformMat3(r,r,a);var s=n.properties.get(\"color\");i.uniform3fv(t.uniforms.u_lightpos,r),i.uniform1f(t.uniforms.u_lightintensity,n.properties.get(\"intensity\")),i.uniform3f(t.uniforms.u_lightcolor,s.r,s.g,s.b);}(p,t),p.draw(s,l.TRIANGLES,i.id,r.layoutVertexBuffer,r.indexBuffer,r.segments,h);}function Si(e,i,n){var o=e.context,r=o.gl,a=i.fbo;if(a){var s=e.useProgram(\"hillshade\"),l=e.transform.calculatePosMatrix(i.tileID.toUnwrapped(),!0);!function(t,e,i){var n=i.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===i.paint.get(\"hillshade-illumination-anchor\")&&(n-=e.transform.angle),e.context.gl.uniform2f(t.uniforms.u_light,i.paint.get(\"hillshade-exaggeration\"),n);}(s,e,n);var c=function(e,i){var n=i.toCoordinate(),o=new t.default$17(n.column,n.row+1,n.zoom);return[e.transform.coordinateLocation(n).lat,e.transform.coordinateLocation(o).lat]}(e,i.tileID);o.activeTexture.set(r.TEXTURE0),r.bindTexture(r.TEXTURE_2D,a.colorAttachment.get()),r.uniformMatrix4fv(s.uniforms.u_matrix,!1,l),r.uniform2fv(s.uniforms.u_latrange,c),r.uniform1i(s.uniforms.u_image,0);var u=n.paint.get(\"hillshade-shadow-color\");r.uniform4f(s.uniforms.u_shadow,u.r,u.g,u.b,u.a);var h=n.paint.get(\"hillshade-highlight-color\");r.uniform4f(s.uniforms.u_highlight,h.r,h.g,h.b,h.a);var p=n.paint.get(\"hillshade-accent-color\");if(r.uniform4f(s.uniforms.u_accent,p.r,p.g,p.b,p.a),i.maskedBoundsBuffer&&i.maskedIndexBuffer&&i.segments)s.draw(o,r.TRIANGLES,n.id,i.maskedBoundsBuffer,i.maskedIndexBuffer,i.segments);else{var d=e.rasterBoundsBuffer;e.rasterBoundsVAO.bind(o,s,d,[]),r.drawArrays(r.TRIANGLE_STRIP,0,d.length);}}}function zi(e,i,n){var o=e.context,r=o.gl;if(i.dem&&i.dem.level){var a=i.dem.level.dim,s=i.dem.getPixels();if(o.activeTexture.set(r.TEXTURE1),o.pixelStoreUnpackPremultiplyAlpha.set(!1),i.demTexture=i.demTexture||e.getTileTexture(i.tileSize),i.demTexture){var l=i.demTexture;l.update(s,{premultiply:!1}),l.bind(r.NEAREST,r.CLAMP_TO_EDGE);}else i.demTexture=new M(o,s,r.RGBA,{premultiply:!1}),i.demTexture.bind(r.NEAREST,r.CLAMP_TO_EDGE);o.activeTexture.set(r.TEXTURE0);var c=i.fbo;if(!c){var u=new M(o,{width:a,height:a,data:null},r.RGBA);u.bind(r.LINEAR,r.CLAMP_TO_EDGE),(c=i.fbo=o.createFramebuffer(a,a)).colorAttachment.set(u.texture);}o.bindFramebuffer.set(c.framebuffer),o.viewport.set([0,0,a,a]);var h=t.mat4.create();t.mat4.ortho(h,0,t.default$8,-t.default$8,0,0,1),t.mat4.translate(h,h,[0,-t.default$8,0]);var p=e.useProgram(\"hillshadePrepare\");r.uniformMatrix4fv(p.uniforms.u_matrix,!1,h),r.uniform1f(p.uniforms.u_zoom,i.tileID.overscaledZ),r.uniform2fv(p.uniforms.u_dimension,[2*a,2*a]),r.uniform1i(p.uniforms.u_image,1),r.uniform1f(p.uniforms.u_maxzoom,n);var d=e.rasterBoundsBuffer;e.rasterBoundsVAO.bind(o,p,d,[]),r.drawArrays(r.TRIANGLE_STRIP,0,d.length),i.needsHillshadePrepare=!1;}}function Ai(e,i,n,o,a){var s=o.paint.get(\"raster-fade-duration\");if(s>0){var l=r.now(),c=(l-e.timeAdded)/s,u=i?(l-i.timeAdded)/s:-1,h=n.getSource(),p=a.coveringZoomLevel({tileSize:h.tileSize,roundZoom:h.roundZoom}),d=!i||Math.abs(i.tileID.overscaledZ-p)>Math.abs(e.tileID.overscaledZ-p),f=d&&e.refreshedUponExpiration?1:t.clamp(d?c:1-u,0,1);return e.refreshedUponExpiration&&c>=1&&(e.refreshedUponExpiration=!1),i?{opacity:1,mix:1-f}:{opacity:f,mix:0}}return{opacity:1,mix:0}}function Ri(e,i,n){var o=e.context,a=o.gl;o.lineWidth.set(1*r.devicePixelRatio);var 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s=t.context,l=s.gl;s.setDepthMode(t.depthModeForSublayer(0,$t.ReadOnly)),s.setStencilMode(Gt.disabled),s.setColorMode(t.colorModeForRenderPass());for(var c=!0,u=0;u<n.length;u++){var h=n[u],p=e.getTile(h),d=p.getBucket(i);if(d){var f=t.context.program.get(),m=d.programConfigurations.get(i.id),_=t.useProgram(\"circle\",m);if((c||_.program!==f)&&(m.setUniforms(s,_,i.paint,{zoom:t.transform.zoom}),c=!1),l.uniform1f(_.uniforms.u_camera_to_center_distance,t.transform.cameraToCenterDistance),l.uniform1i(_.uniforms.u_scale_with_map,\"map\"===i.paint.get(\"circle-pitch-scale\")?1:0),\"map\"===i.paint.get(\"circle-pitch-alignment\")){l.uniform1i(_.uniforms.u_pitch_with_map,1);var g=ze(p,1,t.transform.zoom);l.uniform2f(_.uniforms.u_extrude_scale,g,g);}else l.uniform1i(_.uniforms.u_pitch_with_map,0),l.uniform2fv(_.uniforms.u_extrude_scale,t.transform.pixelsToGLUnits);l.uniformMatrix4fv(_.uniforms.u_matrix,!1,t.translatePosMatrix(h.posMatrix,p,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\"))),_.draw(s,l.TRIANGLES,i.id,d.layoutVertexBuffer,d.indexBuffer,d.segments,m);}}}}},heatmap:function(e,i,n,o){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var r=e.context,a=r.gl;r.setDepthMode(e.depthModeForSublayer(0,$t.ReadOnly)),r.setStencilMode(Gt.disabled),function(t,e,i){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var o=i.heatmapFbo;if(o)n.bindTexture(n.TEXTURE_2D,o.colorAttachment.get()),t.bindFramebuffer.set(o.framebuffer);else{var r=n.createTexture();n.bindTexture(n.TEXTURE_2D,r),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),o=i.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4),function t(e,i,n,o){var r=e.gl;r.texImage2D(r.TEXTURE_2D,0,r.RGBA,i.width/4,i.height/4,0,r.RGBA,e.extTextureHalfFloat?e.extTextureHalfFloat.HALF_FLOAT_OES:r.UNSIGNED_BYTE,null),o.colorAttachment.set(n),e.extTextureHalfFloat&&r.checkFramebufferStatus(r.FRAMEBUFFER)!==r.FRAMEBUFFER_COMPLETE&&(e.extTextureHalfFloat=null,o.colorAttachment.setDirty(),t(e,i,n,o));}(t,e,r,o);}}(r,e,n),r.clear({color:t.default$6.transparent}),r.setColorMode(new Wt([a.ONE,a.ONE],t.default$6.transparent,[!0,!0,!0,!0]));for(var s=!0,l=0;l<o.length;l++){var c=o[l];if(!i.hasRenderableParent(c)){var u=i.getTile(c),h=u.getBucket(n);if(h){var p=e.context.program.get(),d=h.programConfigurations.get(n.id),f=e.useProgram(\"heatmap\",d),m=e.transform.zoom;(s||f.program!==p)&&(d.setUniforms(e.context,f,n.paint,{zoom:m}),s=!1),a.uniform1f(f.uniforms.u_extrude_scale,ze(u,1,m)),a.uniform1f(f.uniforms.u_intensity,n.paint.get(\"heatmap-intensity\")),a.uniformMatrix4fv(f.uniforms.u_matrix,!1,c.posMatrix),f.draw(r,a.TRIANGLES,n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,d);}}}r.viewport.set([0,0,e.width,e.height]);}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,i){var n=e.context,o=n.gl,r=i.heatmapFbo;if(r){n.activeTexture.set(o.TEXTURE0),o.bindTexture(o.TEXTURE_2D,r.colorAttachment.get()),n.activeTexture.set(o.TEXTURE1);var a=i.colorRampTexture;a||(a=i.colorRampTexture=new M(n,i.colorRamp,o.RGBA)),a.bind(o.LINEAR,o.CLAMP_TO_EDGE),n.setDepthMode($t.disabled);var s=e.useProgram(\"heatmapTexture\"),l=i.paint.get(\"heatmap-opacity\");o.uniform1f(s.uniforms.u_opacity,l),o.uniform1i(s.uniforms.u_image,0),o.uniform1i(s.uniforms.u_color_ramp,1);var c=t.mat4.create();t.mat4.ortho(c,0,e.width,e.height,0,0,1),o.uniformMatrix4fv(s.uniforms.u_matrix,!1,c),o.uniform2f(s.uniforms.u_world,o.drawingBufferWidth,o.drawingBufferHeight),e.viewportVAO.bind(e.context,s,e.viewportBuffer,[]),o.drawArrays(o.TRIANGLE_STRIP,0,4);}}(e,n));},line:function(t,e,i,n){if(\"translucent\"===t.renderPass&&0!==i.paint.get(\"line-opacity\").constantOr(1)){var o=t.context;o.setDepthMode(t.depthModeForSublayer(0,$t.ReadOnly)),o.setColorMode(t.colorModeForRenderPass());for(var r,a=i.paint.get(\"line-dasharray\")?\"lineSDF\":i.paint.get(\"line-pattern\")?\"linePattern\":i.paint.get(\"line-gradient\")?\"lineGradient\":\"line\",s=!0,l=0,c=n;l<c.length;l+=1){var u=c[l],h=e.getTile(u),p=h.getBucket(i);if(p){var d=p.programConfigurations.get(i.id),f=t.context.program.get(),m=t.useProgram(a,d),_=s||m.program!==f,g=r!==h.tileID.overscaledZ;_&&d.setUniforms(t.context,m,i.paint,{zoom:t.transform.zoom}),mi(m,t,h,p,i,u,d,_,g),r=h.tileID.overscaledZ,s=!1;}}}},fill:function(e,i,n,o){var r=n.paint.get(\"fill-color\"),a=n.paint.get(\"fill-opacity\");if(0!==a.constantOr(1)){var s=e.context;s.setColorMode(e.colorModeForRenderPass());var l=n.paint.get(\"fill-pattern\")||1!==r.constantOr(t.default$6.transparent).a||1!==a.constantOr(0)?\"translucent\":\"opaque\";e.renderPass===l&&(s.setDepthMode(e.depthModeForSublayer(1,\"opaque\"===e.renderPass?$t.ReadWrite:$t.ReadOnly)),yi(e,i,n,o,xi)),\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")&&(s.lineWidth.set(2),s.setDepthMode(e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,$t.ReadOnly)),yi(e,i,n,o,bi));}},\"fill-extrusion\":function(e,i,n,o){if(0!==n.paint.get(\"fill-extrusion-opacity\"))if(\"offscreen\"===e.renderPass){!function(e,i){var n=e.context,o=n.gl,r=i.viewportFrame;if(e.depthRboNeedsClear&&e.setupOffscreenDepthRenderbuffer(),!r){var a=new M(n,{width:e.width,height:e.height,data:null},o.RGBA);a.bind(o.LINEAR,o.CLAMP_TO_EDGE),(r=i.viewportFrame=n.createFramebuffer(e.width,e.height)).colorAttachment.set(a.texture);}n.bindFramebuffer.set(r.framebuffer),r.depthAttachment.set(e.depthRbo),e.depthRboNeedsClear&&(n.clear({depth:1}),e.depthRboNeedsClear=!1),n.clear({color:t.default$6.transparent}),n.setStencilMode(Gt.disabled),n.setDepthMode(new $t(o.LEQUAL,$t.ReadWrite,[0,1])),n.setColorMode(e.colorModeForRenderPass());}(e,n);for(var r=!0,a=0,s=o;a<s.length;a+=1){var l=s[a],c=i.getTile(l),u=c.getBucket(n);u&&(Ci(e,0,n,c,l,u,r),r=!1);}}else\"translucent\"===e.renderPass&&function(t,e){var i=e.viewportFrame;if(i){var n=t.context,o=n.gl,r=t.useProgram(\"extrusionTexture\");n.setStencilMode(Gt.disabled),n.setDepthMode($t.disabled),n.setColorMode(t.colorModeForRenderPass()),n.activeTexture.set(o.TEXTURE0),o.bindTexture(o.TEXTURE_2D,i.colorAttachment.get()),o.uniform1f(r.uniforms.u_opacity,e.paint.get(\"fill-extrusion-opacity\")),o.uniform1i(r.uniforms.u_image,0);var a=Ti.create();Ti.ortho(a,0,t.width,t.height,0,0,1),o.uniformMatrix4fv(r.uniforms.u_matrix,!1,a),o.uniform2f(r.uniforms.u_world,o.drawingBufferWidth,o.drawingBufferHeight),t.viewportVAO.bind(n,r,t.viewportBuffer,[]),o.drawArrays(o.TRIANGLE_STRIP,0,4);}}(e,n);},hillshade:function(t,e,i,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){var o=t.context,r=e.getSource().maxzoom;o.setDepthMode(t.depthModeForSublayer(0,$t.ReadOnly)),o.setStencilMode(Gt.disabled),o.setColorMode(t.colorModeForRenderPass());for(var a=0,s=n;a<s.length;a+=1){var l=s[a],c=e.getTile(l);c.needsHillshadePrepare&&\"offscreen\"===t.renderPass?zi(t,c,r):\"translucent\"===t.renderPass&&Si(t,c,i);}o.viewport.set([0,0,t.width,t.height]);}},raster:function(t,e,i,n){if(\"translucent\"===t.renderPass&&0!==i.paint.get(\"raster-opacity\")){var o,r,a=t.context,s=a.gl,l=e.getSource(),c=t.useProgram(\"raster\");a.setStencilMode(Gt.disabled),a.setColorMode(t.colorModeForRenderPass()),s.uniform1f(c.uniforms.u_brightness_low,i.paint.get(\"raster-brightness-min\")),s.uniform1f(c.uniforms.u_brightness_high,i.paint.get(\"raster-brightness-max\")),s.uniform1f(c.uniforms.u_saturation_factor,(o=i.paint.get(\"raster-saturation\"))>0?1-1/(1.001-o):-o),s.uniform1f(c.uniforms.u_contrast_factor,(r=i.paint.get(\"raster-contrast\"))>0?1/(1-r):1+r),s.uniform3fv(c.uniforms.u_spin_weights,function(t){t*=Math.PI/180;var e=Math.sin(t),i=Math.cos(t);return[(2*i+1)/3,(-Math.sqrt(3)*e-i+1)/3,(Math.sqrt(3)*e-i+1)/3]}(i.paint.get(\"raster-hue-rotate\"))),s.uniform1f(c.uniforms.u_buffer_scale,1),s.uniform1i(c.uniforms.u_image0,0),s.uniform1i(c.uniforms.u_image1,1);for(var u=n.length&&n[0].overscaledZ,h=0,p=n;h<p.length;h+=1){var d=p[h];a.setDepthMode(t.depthModeForSublayer(d.overscaledZ-u,1===i.paint.get(\"raster-opacity\")?$t.ReadWrite:$t.ReadOnly,s.LESS));var f=e.getTile(d),m=t.transform.calculatePosMatrix(d.toUnwrapped(),!0);f.registerFadeDuration(i.paint.get(\"raster-fade-duration\")),s.uniformMatrix4fv(c.uniforms.u_matrix,!1,m);var _=e.findLoadedParent(d,0,{}),g=Ai(f,_,e,i,t.transform),v=void 0,y=void 0;if(a.activeTexture.set(s.TEXTURE0),f.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(s.TEXTURE1),_?(_.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),v=Math.pow(2,_.tileID.overscaledZ-f.tileID.overscaledZ),y=[f.tileID.canonical.x*v%1,f.tileID.canonical.y*v%1]):f.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),s.uniform2fv(c.uniforms.u_tl_parent,y||[0,0]),s.uniform1f(c.uniforms.u_scale_parent,v||1),s.uniform1f(c.uniforms.u_fade_t,g.mix),s.uniform1f(c.uniforms.u_opacity,g.opacity*i.paint.get(\"raster-opacity\")),l instanceof et){var x=l.boundsBuffer;l.boundsVAO.bind(a,c,x,[]),s.drawArrays(s.TRIANGLE_STRIP,0,x.length);}else if(f.maskedBoundsBuffer&&f.maskedIndexBuffer&&f.segments)c.draw(a,s.TRIANGLES,i.id,f.maskedBoundsBuffer,f.maskedIndexBuffer,f.segments);else{var b=t.rasterBoundsBuffer;t.rasterBoundsVAO.bind(a,c,b,[]),s.drawArrays(s.TRIANGLE_STRIP,0,b.length);}}}},background:function(t,e,i){var n=i.paint.get(\"background-color\"),o=i.paint.get(\"background-opacity\");if(0!==o){var r=t.context,a=r.gl,s=t.transform,l=s.tileSize,c=i.paint.get(\"background-pattern\"),u=c||1!==n.a||1!==o?\"translucent\":\"opaque\";if(t.renderPass===u){var h;if(r.setStencilMode(Gt.disabled),r.setDepthMode(t.depthModeForSublayer(0,\"opaque\"===u?$t.ReadWrite:$t.ReadOnly)),r.setColorMode(t.colorModeForRenderPass()),c){if(_i(c,t))return;h=t.useProgram(\"backgroundPattern\"),gi(c,t,h),t.tileExtentPatternVAO.bind(r,h,t.tileExtentBuffer,[]);}else h=t.useProgram(\"background\"),a.uniform4fv(h.uniforms.u_color,[n.r,n.g,n.b,n.a]),t.tileExtentVAO.bind(r,h,t.tileExtentBuffer,[]);a.uniform1f(h.uniforms.u_opacity,o);for(var p=0,d=s.coveringTiles({tileSize:l});p<d.length;p+=1){var f=d[p];c&&vi({tileID:f,tileSize:l},t,h),a.uniformMatrix4fv(h.uniforms.u_matrix,!1,t.transform.calculatePosMatrix(f.toUnwrapped())),a.drawArrays(a.TRIANGLE_STRIP,0,t.tileExtentBuffer.length);}}}},debug:function(t,e,i){for(var n=0;n<i.length;n++)Ri(t,e,i[n]);}},Li=function(e,i){this.context=new qt(e),this.transform=i,this._tileTextures={},this.setup(),this.numSublayers=Xt.maxUnderzooming+Xt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.default$24,this.crossTileSymbolIndex=new He;};function Pi(t,e){if(t.row>e.row){var i=t;t=e,e=i;}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function ki(t,e,i,n,o){var r=Math.max(i,Math.floor(e.y0)),a=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s;}for(var l=t.dx/t.dy,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,p=r;p<a;p++){var d=l*Math.max(0,Math.min(t.dy,p+u-t.y0))+t.x0,f=c*Math.max(0,Math.min(e.dy,p+h-e.y0))+e.x0;o(Math.floor(f),Math.ceil(d),p);}}function Bi(t,e,i,n,o,r){var a,s=Pi(t,e),l=Pi(e,i),c=Pi(i,t);s.dy>l.dy&&(a=s,s=l,l=a),s.dy>c.dy&&(a=s,s=c,c=a),l.dy>c.dy&&(a=l,l=c,c=a),s.dy&&ki(c,s,n,o,r),l.dy&&ki(c,l,n,o,r);}Li.prototype.resize=function(t,e){var i=this.context.gl;if(this.width=t*r.devicePixelRatio,this.height=e*r.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,o=this.style._order;n<o.length;n+=1){var a=o[n];this.style._layers[a].resize();}this.depthRbo&&(i.deleteRenderbuffer(this.depthRbo),this.depthRbo=null);},Li.prototype.setup=function(){var e=this.context,i=new t.PosArray;i.emplaceBack(0,0),i.emplaceBack(t.default$8,0),i.emplaceBack(0,t.default$8),i.emplaceBack(t.default$8,t.default$8),this.tileExtentBuffer=e.createVertexBuffer(i,ti.members),this.tileExtentVAO=new tt,this.tileExtentPatternVAO=new tt;var n=new t.PosArray;n.emplaceBack(0,0),n.emplaceBack(t.default$8,0),n.emplaceBack(t.default$8,t.default$8),n.emplaceBack(0,t.default$8),n.emplaceBack(0,0),this.debugBuffer=e.createVertexBuffer(n,ti.members),this.debugVAO=new tt;var o=new t.RasterBoundsArray;o.emplaceBack(0,0,0,0),o.emplaceBack(t.default$8,0,t.default$8,0),o.emplaceBack(0,t.default$8,0,t.default$8),o.emplaceBack(t.default$8,t.default$8,t.default$8,t.default$8),this.rasterBoundsBuffer=e.createVertexBuffer(o,Q.members),this.rasterBoundsVAO=new tt;var r=new t.PosArray;r.emplaceBack(0,0),r.emplaceBack(1,0),r.emplaceBack(0,1),r.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(r,ti.members),this.viewportVAO=new tt;},Li.prototype.clearStencil=function(){var e=this.context,i=e.gl;e.setColorMode(Wt.disabled),e.setDepthMode($t.disabled),e.setStencilMode(new Gt({func:i.ALWAYS,mask:0},0,255,i.ZERO,i.ZERO,i.ZERO));var n=t.mat4.create();t.mat4.ortho(n,0,this.width,this.height,0,0,1),t.mat4.scale(n,n,[i.drawingBufferWidth,i.drawingBufferHeight,0]);var o=this.useProgram(\"clippingMask\");i.uniformMatrix4fv(o.uniforms.u_matrix,!1,n),this.viewportVAO.bind(e,o,this.viewportBuffer,[]),i.drawArrays(i.TRIANGLE_STRIP,0,4);},Li.prototype._renderTileClippingMasks=function(t){var e=this.context,i=e.gl;e.setColorMode(Wt.disabled),e.setDepthMode($t.disabled);var n=1;this._tileClippingMaskIDs={};for(var o=0,r=t;o<r.length;o+=1){var a=r[o],s=this._tileClippingMaskIDs[a.key]=n++;e.setStencilMode(new Gt({func:i.ALWAYS,mask:0},s,255,i.KEEP,i.KEEP,i.REPLACE));var l=this.useProgram(\"clippingMask\");i.uniformMatrix4fv(l.uniforms.u_matrix,!1,a.posMatrix),this.tileExtentVAO.bind(this.context,l,this.tileExtentBuffer,[]),i.drawArrays(i.TRIANGLE_STRIP,0,this.tileExtentBuffer.length);}},Li.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Gt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Li.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new Wt([e.CONSTANT_COLOR,e.ONE],new t.default$6(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Wt.unblended:Wt.alphaBlended},Li.prototype.depthModeForSublayer=function(t,e,i){var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,o=n-1+this.depthRange;return new $t(i||this.context.gl.LEQUAL,e,[o,n])},Li.prototype.render=function(e,i){var n=this;for(var o in this.style=e,this.options=i,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(r.now()),e.sourceCaches){var a=n.style.sourceCaches[o];a.used&&a.prepare(n.context);}var s=this.style._order,l=t.filterObject(this.style.sourceCaches,function(t){return\"raster\"===t.getSource().type||\"raster-dem\"===t.getSource().type}),c=function(e){var i=l[e];!function(e,i){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),o=0;o<n.length;o++){var r={},a=n[o],s=n.slice(o+1);si(a.tileID.wrapped(),a.tileID,s,new t.OverscaledTileID(0,a.tileID.wrap+1,0,0,0),r),a.setMask(r,i);}}(i.getVisibleCoordinates().map(function(t){return i.getTile(t)}),n.context);};for(var u in l)c(u);this.renderPass=\"offscreen\";var h,p=[];this.depthRboNeedsClear=!0;for(var d=0;d<s.length;d++){var f=n.style._layers[s[d]];f.hasOffscreenPass()&&!f.isHidden(n.transform.zoom)&&(f.source!==(h&&h.id)&&(p=[],(h=n.style.sourceCaches[f.source])&&(p=h.getVisibleCoordinates()).reverse()),p.length&&n.renderLayer(n,h,f,p));}this.context.bindFramebuffer.set(null),this.context.clear({color:i.showOverdrawInspector?t.default$6.black:t.default$6.transparent,depth:1}),this._showOverdrawInspector=i.showOverdrawInspector,this.depthRange=(e._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass=\"opaque\";var m,_=[];for(this.currentLayer=s.length-1,this.currentLayer;this.currentLayer>=0;this.currentLayer--){var g=n.style._layers[s[n.currentLayer]];g.source!==(m&&m.id)&&(_=[],(m=n.style.sourceCaches[g.source])&&(n.clearStencil(),_=m.getVisibleCoordinates(),m.getSource().isTileClipped&&n._renderTileClippingMasks(_))),n.renderLayer(n,m,g,_);}this.renderPass=\"translucent\";var v,y=[];for(this.currentLayer=0,this.currentLayer;this.currentLayer<s.length;this.currentLayer++){var x=n.style._layers[s[n.currentLayer]];x.source!==(v&&v.id)&&(y=[],(v=n.style.sourceCaches[x.source])&&(n.clearStencil(),y=v.getVisibleCoordinates(),v.getSource().isTileClipped&&n._renderTileClippingMasks(y)),y.reverse()),n.renderLayer(n,v,x,y);}if(this.options.showTileBoundaries){var b=this.style.sourceCaches[Object.keys(this.style.sourceCaches)[0]];b&&Mi.debug(this,b,b.getVisibleCoordinates());}},Li.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height));},Li.prototype.renderLayer=function(t,e,i,n){i.isHidden(this.transform.zoom)||(\"background\"===i.type||n.length)&&(this.id=i.id,Mi[i.type](t,e,i,n));},Li.prototype.translatePosMatrix=function(e,i,n,o,r){if(!n[0]&&!n[1])return e;var a=r?\"map\"===o?this.transform.angle:0:\"viewport\"===o?-this.transform.angle:0;if(a){var s=Math.sin(a),l=Math.cos(a);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l];}var c=[r?n[0]:ze(i,n[0],this.transform.zoom),r?n[1]:ze(i,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.mat4.translate(u,e,c),u},Li.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t];},Li.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Li.prototype._createProgramCached=function(t,e){this.cache=this.cache||{};var i=\"\"+t+(e.cacheKey||\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[i]||(this.cache[i]=new ai(this.context,ri[t],e,this._showOverdrawInspector)),this.cache[i]},Li.prototype.useProgram=function(t,e){var i=this._createProgramCached(t,e||this.emptyProgramConfiguration);return this.context.program.set(i.program),i};var Oi=t.default$20.vec4,Fi=t.default$20.mat4,Ni=t.default$20.mat2,Ui=function(t,e,i){this.tileSize=512,this._renderWorldCopies=void 0===i||i,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new W(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._posMatrixCache={},this._alignedPosMatrixCache={};},Zi={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},x:{configurable:!0},y:{configurable:!0},point:{configurable:!0}};Ui.prototype.clone=function(){var t=new Ui(this._minZoom,this._maxZoom,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._calcMatrices(),t},Zi.minZoom.get=function(){return this._minZoom},Zi.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t));},Zi.maxZoom.get=function(){return this._maxZoom},Zi.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t));},Zi.renderWorldCopies.get=function(){return this._renderWorldCopies},Zi.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t;},Zi.worldSize.get=function(){return this.tileSize*this.scale},Zi.centerPoint.get=function(){return this.size._div(2)},Zi.size.get=function(){return new t.default$1(this.width,this.height)},Zi.bearing.get=function(){return-this.angle/Math.PI*180},Zi.bearing.set=function(e){var i=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==i&&(this._unmodified=!1,this.angle=i,this._calcMatrices(),this.rotationMatrix=Ni.create(),Ni.rotate(this.rotationMatrix,this.rotationMatrix,this.angle));},Zi.pitch.get=function(){return this._pitch/Math.PI*180},Zi.pitch.set=function(e){var i=t.clamp(e,0,60)/180*Math.PI;this._pitch!==i&&(this._unmodified=!1,this._pitch=i,this._calcMatrices());},Zi.fov.get=function(){return this._fov/Math.PI*180},Zi.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices());},Zi.zoom.get=function(){return this._zoom},Zi.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices());},Zi.center.get=function(){return this._center},Zi.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices());},Ui.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},Ui.prototype.getVisibleUnwrappedCoordinates=function(e){var i=this.pointCoordinate(new t.default$1(0,0),0),n=this.pointCoordinate(new t.default$1(this.width,0),0),o=Math.floor(i.column),r=Math.floor(n.column),a=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var s=o;s<=r;s++)0!==s&&a.push(new t.UnwrappedTileID(s,e));return a},Ui.prototype.coveringTiles=function(e){var i=this.coveringZoomLevel(e),n=i;if(void 0!==e.minzoom&&i<e.minzoom)return[];void 0!==e.maxzoom&&i>e.maxzoom&&(i=e.maxzoom);var o=this.pointCoordinate(this.centerPoint,i),r=new t.default$1(o.column-.5,o.row-.5);return function(e,i,n,o){void 0===o&&(o=!0);var r=1<<e,a={};function s(i,s,l){var c,u,h,p;if(l>=0&&l<=r)for(c=i;c<s;c++)u=Math.floor(c/r),h=(c%r+r)%r,0!==u&&!0!==o||(p=new t.OverscaledTileID(n,u,e,h,l),a[p.key]=p);}return Bi(i[0],i[1],i[2],0,r,s),Bi(i[2],i[3],i[0],0,r,s),Object.keys(a).map(function(t){return a[t]})}(i,[this.pointCoordinate(new t.default$1(0,0),i),this.pointCoordinate(new t.default$1(this.width,0),i),this.pointCoordinate(new t.default$1(this.width,this.height),i),this.pointCoordinate(new t.default$1(0,this.height),i)],e.reparseOverscaled?n:i,this._renderWorldCopies).sort(function(t,e){return r.dist(t.canonical)-r.dist(e.canonical)})},Ui.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices();},Zi.unmodified.get=function(){return this._unmodified},Ui.prototype.zoomScale=function(t){return Math.pow(2,t)},Ui.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Ui.prototype.project=function(e){return new t.default$1(this.lngX(e.lng),this.latY(e.lat))},Ui.prototype.unproject=function(t){return new W(this.xLng(t.x),this.yLat(t.y))},Zi.x.get=function(){return this.lngX(this.center.lng)},Zi.y.get=function(){return this.latY(this.center.lat)},Zi.point.get=function(){return new t.default$1(this.x,this.y)},Ui.prototype.lngX=function(t){return(180+t)*this.worldSize/360},Ui.prototype.latY=function(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*this.worldSize/360},Ui.prototype.xLng=function(t){return 360*t/this.worldSize-180},Ui.prototype.yLat=function(t){var e=180-360*t/this.worldSize;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90},Ui.prototype.setLocationAtPoint=function(t,e){var i=this.pointCoordinate(e)._sub(this.pointCoordinate(this.centerPoint));this.center=this.coordinateLocation(this.locationCoordinate(t)._sub(i)),this._renderWorldCopies&&(this.center=this.center.wrap());},Ui.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Ui.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Ui.prototype.locationCoordinate=function(e){return new t.default$17(this.lngX(e.lng)/this.tileSize,this.latY(e.lat)/this.tileSize,this.zoom).zoomTo(this.tileZoom)},Ui.prototype.coordinateLocation=function(t){var e=t.zoomTo(this.zoom);return new W(this.xLng(e.column*this.tileSize),this.yLat(e.row*this.tileSize))},Ui.prototype.pointCoordinate=function(e,i){void 0===i&&(i=this.tileZoom);var n=[e.x,e.y,0,1],o=[e.x,e.y,1,1];Oi.transformMat4(n,n,this.pixelMatrixInverse),Oi.transformMat4(o,o,this.pixelMatrixInverse);var r=n[3],a=o[3],s=n[0]/r,l=o[0]/a,c=n[1]/r,u=o[1]/a,h=n[2]/r,p=o[2]/a,d=h===p?0:(0-h)/(p-h);return new t.default$17(t.number(s,l,d)/this.tileSize,t.number(c,u,d)/this.tileSize,this.zoom)._zoomTo(i)},Ui.prototype.coordinatePoint=function(e){var i=e.zoomTo(this.zoom),n=[i.column*this.tileSize,i.row*this.tileSize,0,1];return Oi.transformMat4(n,n,this.pixelMatrix),new t.default$1(n[0]/n[3],n[1]/n[3])},Ui.prototype.calculatePosMatrix=function(e,i){void 0===i&&(i=!1);var n=e.key,o=i?this._alignedPosMatrixCache:this._posMatrixCache;if(o[n])return o[n];var r=e.canonical,a=this.worldSize/this.zoomScale(r.z),s=r.x+Math.pow(2,r.z)*e.wrap,l=Fi.identity(new Float64Array(16));return Fi.translate(l,l,[s*a,r.y*a,0]),Fi.scale(l,l,[a/t.default$8,a/t.default$8,1]),Fi.multiply(l,i?this.alignedProjMatrix:this.projMatrix,l),o[n]=new Float32Array(l),o[n]},Ui.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,i,n,o,r=-90,a=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;r=this.latY(h[1]),e=(a=this.latY(h[0]))-r<c.y?c.y/(a-r):0;}if(this.lngRange){var p=this.lngRange;s=this.lngX(p[0]),i=(l=this.lngX(p[1]))-s<c.x?c.x/(l-s):0;}var d=Math.max(i||0,e||0);if(d)return this.center=this.unproject(new t.default$1(i?(l+s)/2:this.x,e?(a+r)/2:this.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var f=this.y,m=c.y/2;f-m<r&&(o=r+m),f+m>a&&(o=a-m);}if(this.lngRange){var _=this.x,g=c.x/2;_-g<s&&(n=s+g),_+g>l&&(n=l-g);}void 0===n&&void 0===o||(this.center=this.unproject(new t.default$1(void 0!==n?n:this.x,void 0!==o?o:this.y))),this._unmodified=u,this._constraining=!1;}},Ui.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var t=this._fov/2,e=Math.PI/2+this._pitch,i=Math.sin(t)*this.cameraToCenterDistance/Math.sin(Math.PI-e-t),n=this.x,o=this.y,r=1.01*(Math.cos(Math.PI/2-this._pitch)*i+this.cameraToCenterDistance),a=new Float64Array(16);Fi.perspective(a,this._fov,this.width/this.height,1,r),Fi.scale(a,a,[1,-1,1]),Fi.translate(a,a,[0,0,-this.cameraToCenterDistance]),Fi.rotateX(a,a,this._pitch),Fi.rotateZ(a,a,this.angle),Fi.translate(a,a,[-n,-o,0]);var s=this.worldSize/(2*Math.PI*6378137*Math.abs(Math.cos(this.center.lat*(Math.PI/180))));Fi.scale(a,a,[1,1,s,1]),this.projMatrix=a;var l=this.width%2/2,c=this.height%2/2,u=Math.cos(this.angle),h=Math.sin(this.angle),p=n-Math.round(n)+u*l+h*c,d=o-Math.round(o)+u*c+h*l,f=new Float64Array(a);if(Fi.translate(f,f,[p>.5?p-1:p,d>.5?d-1:d,0]),this.alignedProjMatrix=f,a=Fi.create(),Fi.scale(a,a,[this.width/2,-this.height/2,1]),Fi.translate(a,a,[1,-1,0]),this.pixelMatrix=Fi.multiply(new Float64Array(16),a,this.projMatrix),!(a=Fi.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=a,this._posMatrixCache={},this._alignedPosMatrixCache={};}},Ui.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.default$1(0,0)).zoomTo(this.zoom),i=[e.column*this.tileSize,e.row*this.tileSize,0,1];return Oi.transformMat4(i,i,this.pixelMatrix)[3]/this.cameraToCenterDistance},Object.defineProperties(Ui.prototype,Zi);var Vi=function(){var e,i,n,o,r;t.bindAll([\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),i=300,n=!1,o=0,r=function(){o=0,n&&(e(),o=setTimeout(r,i),n=!1);},function(){return n=!0,o||r(),o});};Vi.prototype.addTo=function(e){return this._map=e,t.default.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Vi.prototype.remove=function(){return t.default.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Vi.prototype.getHashString=function(t){var e=this._map.getCenter(),i=Math.round(100*this._map.getZoom())/100,n=Math.ceil((i*Math.LN2+Math.log(512/360/.5))/Math.LN10),o=Math.pow(10,n),r=Math.round(e.lng*o)/o,a=Math.round(e.lat*o)/o,s=this._map.getBearing(),l=this._map.getPitch(),c=\"\";return c+=t?\"#/\"+r+\"/\"+a+\"/\"+i:\"#\"+i+\"/\"+a+\"/\"+r,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=\"/\"+Math.round(l)),c},Vi.prototype._onHashChange=function(){var e=t.default.location.hash.replace(\"#\",\"\").split(\"/\");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},Vi.prototype._updateHashUnthrottled=function(){var e=this.getHashString();t.default.history.replaceState(t.default.history.state,\"\",e);};var ji=function(e){function i(i,n,o,r){void 0===r&&(r={});var a=s.mousePos(n.getCanvasContainer(),o),l=n.unproject(a);e.call(this,i,t.extend({point:a,lngLat:l,originalEvent:o},r)),this._defaultPrevented=!1,this.target=n;}e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i;var n={defaultPrevented:{configurable:!0}};return i.prototype.preventDefault=function(){this._defaultPrevented=!0;},n.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(i.prototype,n),i}(t.Event),$i=function(e){function i(i,n,o){var r=s.touchPos(n.getCanvasContainer(),o),a=r.map(function(t){return n.unproject(t)}),l=r.reduce(function(t,e,i,n){return t.add(e.div(n.length))},new t.default$1(0,0)),c=n.unproject(l);e.call(this,i,{points:r,point:l,lngLats:a,lngLat:c,originalEvent:o}),this._defaultPrevented=!1;}e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i;var n={defaultPrevented:{configurable:!0}};return i.prototype.preventDefault=function(){this._defaultPrevented=!0;},n.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(i.prototype,n),i}(t.Event),Gi=function(t){function e(e,i,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1;}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var i={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0;},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,i),e}(t.Event),Wi=function(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this);};Wi.prototype.isEnabled=function(){return!!this._enabled},Wi.prototype.isActive=function(){return!!this._active},Wi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around);},Wi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1);},Wi.prototype.onWheel=function(e){if(this.isEnabled()){var i=e.deltaMode===t.default.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=r.now(),o=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==i&&i%4.000244140625==0?this._type=\"wheel\":0!==i&&Math.abs(i)<4?this._type=\"trackpad\":o>400?(this._type=null,this._lastValue=i,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(o*i)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,i+=this._lastValue)),e.shiftKey&&i&&(i/=4),this._type&&(this._lastWheelEvent=e,this._delta-=i,this.isActive()||this._start(e)),e.preventDefault();}},Wi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this.isActive()||this._start(t);},Wi.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._map.fire(new t.Event(\"zoomstart\",{originalEvent:e})),this._finishTimeout&&clearTimeout(this._finishTimeout);var i=s.mousePos(this._el,e);this._around=W.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(i)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame));}},Wi.prototype._onScrollFrame=function(){var e=this;if(this._frameId=null,this.isActive()){var i=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?1/450:.01,o=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==o&&(o=1/o);var a=\"number\"==typeof this._targetZoom?i.zoomScale(this._targetZoom):i.scale;this._targetZoom=Math.min(i.maxZoom,Math.max(i.minZoom,i.scaleZoom(a*o))),\"wheel\"===this._type&&(this._startZoom=i.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0;}var s=!1;if(\"wheel\"===this._type){var l=Math.min((r.now()-this._lastWheelEventTime)/200,1),c=this._easing(l);i.zoom=t.number(this._startZoom,this._targetZoom,c),l<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):s=!0;}else i.zoom=this._targetZoom,s=!0;i.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event(\"zoom\",{originalEvent:this._lastWheelEvent})),s&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._map.fire(new t.Event(\"zoomend\",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event(\"moveend\",{originalEvent:e._lastWheelEvent})),delete e._targetZoom;},200));}},Wi.prototype._smoothOutEasing=function(e){var i=t.ease;if(this._prevEase){var n=this._prevEase,o=(r.now()-n.start)/n.duration,a=n.easing(o+.01)-n.easing(o),s=.27/Math.sqrt(a*a+1e-4)*.01,l=Math.sqrt(.0729-s*s);i=t.bezier(s,l,.25,1);}return this._prevEase={start:r.now(),duration:e,easing:i},i};var qi=function(e){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),t.bindAll([\"_onMouseMove\",\"_onMouseUp\",\"_onKeyDown\"],this);};qi.prototype.isEnabled=function(){return!!this._enabled},qi.prototype.isActive=function(){return!!this._active},qi.prototype.enable=function(){this.isEnabled()||(this._enabled=!0);},qi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1);},qi.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.default.document.addEventListener(\"mousemove\",this._onMouseMove,!1),t.default.document.addEventListener(\"keydown\",this._onKeyDown,!1),t.default.document.addEventListener(\"mouseup\",this._onMouseUp,!1),s.disableDrag(),this._startPos=s.mousePos(this._el,e),this._active=!0);},qi.prototype._onMouseMove=function(t){var e=this._startPos,i=s.mousePos(this._el,t);this._box||(this._box=s.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,i.x),o=Math.max(e.x,i.x),r=Math.min(e.y,i.y),a=Math.max(e.y,i.y);s.setTransform(this._box,\"translate(\"+n+\"px,\"+r+\"px)\"),this._box.style.width=o-n+\"px\",this._box.style.height=a-r+\"px\";},qi.prototype._onMouseUp=function(e){if(0===e.button){var i=this._startPos,n=s.mousePos(this._el,e),o=(new q).extend(this._map.unproject(i)).extend(this._map.unproject(n));this._finish(),s.suppressClick(),i.x===n.x&&i.y===n.y?this._fireEvent(\"boxzoomcancel\",e):this._map.fitBounds(o,{linear:!0}).fire(new t.Event(\"boxzoomend\",{originalEvent:e,boxZoomBounds:o}));}},qi.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t));},qi.prototype._finish=function(){this._active=!1,t.default.document.removeEventListener(\"mousemove\",this._onMouseMove,!1),t.default.document.removeEventListener(\"keydown\",this._onKeyDown,!1),t.default.document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(s.remove(this._box),this._box=null),s.enableDrag();},qi.prototype._fireEvent=function(e,i){return this._map.fire(new t.Event(e,{originalEvent:i}))};var Xi=t.bezier(0,0,.25,1),Hi=function(e,i){this._map=e,this._el=i.element||e.getCanvasContainer(),this._state=\"disabled\",this._button=i.button||\"right\",this._bearingSnap=i.bearingSnap||0,this._pitchWithRotate=!1!==i.pitchWithRotate,t.bindAll([\"_onMouseMove\",\"_onMouseUp\",\"_onBlur\",\"_onDragFrame\"],this);};Hi.prototype.isEnabled=function(){return\"disabled\"!==this._state},Hi.prototype.isActive=function(){return\"active\"===this._state},Hi.prototype.enable=function(){this.isEnabled()||(this._state=\"enabled\");},Hi.prototype.disable=function(){if(this.isEnabled())switch(this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\"),this._pitchWithRotate&&this._fireEvent(\"pitchend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\";}},Hi.prototype.onMouseDown=function(e){if(\"enabled\"===this._state){if(\"right\"===this._button){if(this._eventButton=s.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==s.mouseButton(e))return;this._eventButton=0;}s.disableDrag(),t.default.document.addEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.default.document.addEventListener(\"mouseup\",this._onMouseUp),t.default.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._inertia=[[r.now(),this._map.getBearing()]],this._previousPos=s.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault();}},Hi.prototype._onMouseMove=function(t){this._lastMoveEvent=t,this._pos=s.mousePos(this._el,t),\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t),this._pitchWithRotate&&this._fireEvent(\"pitchstart\",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame));},Hi.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform,i=this._previousPos,n=this._pos,o=.8*(i.x-n.x),a=-.5*(i.y-n.y),s=e.bearing-o,l=e.pitch-a,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([r.now(),this._map._normalizeBearing(s,u[1])]),e.bearing=s,this._pitchWithRotate&&(this._fireEvent(\"pitch\",t),e.pitch=l),this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),delete this._lastMoveEvent,this._previousPos=this._pos;}},Hi.prototype._onMouseUp=function(t){if(s.mouseButton(t)===this._eventButton)switch(this._state){case\"active\":this._state=\"enabled\",s.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case\"pending\":this._state=\"enabled\",this._unbind();}},Hi.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\",t),this._pitchWithRotate&&this._fireEvent(\"pitchend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind();}},Hi.prototype._unbind=function(){t.default.document.removeEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.default.document.removeEventListener(\"mouseup\",this._onMouseUp),t.default.removeEventListener(\"blur\",this._onBlur),s.enableDrag();},Hi.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._previousPos;},Hi.prototype._inertialRotate=function(t){var e=this;this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var i=this._map,n=i.getBearing(),o=this._inertia,r=function(){Math.abs(n)<e._bearingSnap?i.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent(\"moveend\",t),e._pitchWithRotate&&e._fireEvent(\"pitchend\",t);};if(o.length<2)r();else{var a=o[0],s=o[o.length-1],l=o[o.length-2],c=i._normalizeBearing(n,l[1]),u=s[1]-a[1],h=u<0?-1:1,p=(s[0]-a[0])/1e3;if(0!==u&&0!==p){var d=Math.abs(u*(.25/p));d>180&&(d=180);var f=d/180;c+=h*d*(f/2),Math.abs(i._normalizeBearing(c,0))<this._bearingSnap&&(c=i._normalizeBearing(0,c)),i.rotateTo(c,{duration:1e3*f,easing:Xi,noMoveStart:!0},{originalEvent:t});}else r();}},Hi.prototype._fireEvent=function(e,i){return this._map.fire(new t.Event(e,i?{originalEvent:i}:{}))},Hi.prototype._drainInertiaBuffer=function(){for(var t=this._inertia,e=r.now();t.length>0&&e-t[0][0]>160;)t.shift();};var Ki=t.bezier(0,0,.3,1),Yi=function(e){this._map=e,this._el=e.getCanvasContainer(),this._state=\"disabled\",t.bindAll([\"_onMove\",\"_onMouseUp\",\"_onTouchEnd\",\"_onBlur\",\"_onDragFrame\"],this);};Yi.prototype.isEnabled=function(){return\"disabled\"!==this._state},Yi.prototype.isActive=function(){return\"active\"===this._state},Yi.prototype.enable=function(){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-drag-pan\"),this._state=\"enabled\");},Yi.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove(\"mapboxgl-touch-drag-pan\"),this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\";}},Yi.prototype.onMouseDown=function(e){\"enabled\"===this._state&&(e.ctrlKey||0!==s.mouseButton(e)||(s.addEventListener(t.default.document,\"mousemove\",this._onMove,{capture:!0}),s.addEventListener(t.default.document,\"mouseup\",this._onMouseUp),this._start(e)));},Yi.prototype.onTouchStart=function(e){\"enabled\"===this._state&&(e.touches.length>1||(s.addEventListener(t.default.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),s.addEventListener(t.default.document,\"touchend\",this._onTouchEnd),this._start(e)));},Yi.prototype._start=function(e){t.default.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._previousPos=s.mousePos(this._el,e),this._inertia=[[r.now(),this._previousPos]];},Yi.prototype._onMove=function(t){this._lastMoveEvent=t,t.preventDefault(),this._pos=s.mousePos(this._el,t),this._drainInertiaBuffer(),this._inertia.push([r.now(),this._pos]),\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame));},Yi.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._previousPos),this._pos),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._previousPos=this._pos,delete this._lastMoveEvent;}},Yi.prototype._onMouseUp=function(t){if(0===s.mouseButton(t))switch(this._state){case\"active\":this._state=\"enabled\",s.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind();}},Yi.prototype._onTouchEnd=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind();}},Yi.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind();}},Yi.prototype._unbind=function(){s.removeEventListener(t.default.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),s.removeEventListener(t.default.document,\"touchend\",this._onTouchEnd),s.removeEventListener(t.default.document,\"mousemove\",this._onMove,{capture:!0}),s.removeEventListener(t.default.document,\"mouseup\",this._onMouseUp),s.removeEventListener(t.default,\"blur\",this._onBlur);},Yi.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._previousPos,delete this._pos;},Yi.prototype._inertialPan=function(t){this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent(\"moveend\",t);else{var i=e[e.length-1],n=e[0],o=i[1].sub(n[1]),r=(i[0]-n[0])/1e3;if(0===r||i[1].equals(n[1]))this._fireEvent(\"moveend\",t);else{var a=o.mult(.3/r),s=a.mag();s>1400&&(s=1400,a._unit()._mult(s));var l=s/750,c=a.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:Ki,noMoveStart:!0},{originalEvent:t});}}},Yi.prototype._fireEvent=function(e,i){return this._map.fire(new t.Event(e,i?{originalEvent:i}:{}))},Yi.prototype._drainInertiaBuffer=function(){for(var t=this._inertia,e=r.now();t.length>0&&e-t[0][0]>160;)t.shift();};var Ji=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onKeyDown\"],this);};function Qi(t){return t*(2-t)}Ji.prototype.isEnabled=function(){return!!this._enabled},Ji.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0);},Ji.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1);},Ji.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=0,i=0,n=0,o=0,r=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?i=-1:(t.preventDefault(),o=-1);break;case 39:t.shiftKey?i=1:(t.preventDefault(),o=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),r=-1);break;case 40:t.shiftKey?n=-1:(r=1,t.preventDefault());break;default:return}var a=this._map,s=a.getZoom(),l={duration:300,delayEndEvents:500,easing:Qi,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:a.getBearing()+15*i,pitch:a.getPitch()+10*n,offset:[100*-o,100*-r],center:a.getCenter()};a.easeTo(l,{originalEvent:t});}};var tn=function(e){this._map=e,t.bindAll([\"_onDblClick\",\"_onZoomEnd\"],this);};tn.prototype.isEnabled=function(){return!!this._enabled},tn.prototype.isActive=function(){return!!this._active},tn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0);},tn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1);},tn.prototype.onTouchStart=function(t){var e=this;this.isEnabled()&&(t.points.length>1||(this._tapped?(clearTimeout(this._tapped),this._tapped=null,this._zoom(t)):this._tapped=setTimeout(function(){e._tapped=null;},300)));},tn.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t));},tn.prototype._zoom=function(t){this._active=!0,this._map.on(\"zoomend\",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t);},tn.prototype._onZoomEnd=function(){this._active=!1,this._map.off(\"zoomend\",this._onZoomEnd);};var en=t.bezier(0,0,.15,1),nn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onMove\",\"_onEnd\",\"_onTouchFrame\"],this);};nn.prototype.isEnabled=function(){return!!this._enabled},nn.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around);},nn.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!1);},nn.prototype.disableRotation=function(){this._rotationDisabled=!0;},nn.prototype.enableRotation=function(){this._rotationDisabled=!1;},nn.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var i=s.mousePos(this._el,e.touches[0]),n=s.mousePos(this._el,e.touches[1]);this._startVec=i.sub(n),this._gestureIntent=void 0,this._inertia=[],s.addEventListener(t.default.document,\"touchmove\",this._onMove,{passive:!1}),s.addEventListener(t.default.document,\"touchend\",this._onEnd);}},nn.prototype._getTouchEventData=function(t){var e=s.mousePos(this._el,t.touches[0]),i=s.mousePos(this._el,t.touches[1]),n=e.sub(i);return{vec:n,center:e.add(i).div(2),scale:n.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*n.angleWith(this._startVec)/Math.PI}},nn.prototype._onMove=function(e){if(2===e.touches.length){var i=this._getTouchEventData(e),n=i.vec,o=i.scale,r=i.bearing;if(!this._gestureIntent){var a=Math.abs(1-o)>.15;Math.abs(r)>10?this._gestureIntent=\"rotate\":a&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+\"start\",{originalEvent:e})),this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._startVec=n);}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault();}},nn.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var i=this._map.transform;this._startScale||(this._startScale=i.scale,this._startBearing=i.bearing);var n=this._getTouchEventData(this._lastTouchEvent),o=n.center,a=n.bearing,s=n.scale,l=i.pointLocation(o),c=i.locationPoint(l);\"rotate\"===e&&(i.bearing=this._startBearing+a),i.zoom=i.scaleZoom(this._startScale*s),i.setLocationAtPoint(l,c),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([r.now(),s,o]);}},nn.prototype._onEnd=function(e){s.removeEventListener(t.default.document,\"touchmove\",this._onMove,{passive:!1}),s.removeEventListener(t.default.document,\"touchend\",this._onEnd);var i=this._gestureIntent,n=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,i){this._map.fire(new t.Event(i+\"end\",{originalEvent:e})),this._drainInertiaBuffer();var o=this._inertia,r=this._map;if(o.length<2)r.snapToNorth({},{originalEvent:e});else{var a=o[o.length-1],l=o[0],c=r.transform.scaleZoom(n*a[1]),u=r.transform.scaleZoom(n*l[1]),h=c-u,p=(a[0]-l[0])/1e3,d=a[2];if(0!==p&&c!==u){var f=.15*h/p;Math.abs(f)>2.5&&(f=f>0?2.5:-2.5);var m=1e3*Math.abs(f/(12*.15)),_=c+f*m/2e3;_<0&&(_=0),r.easeTo({zoom:_,duration:m,easing:en,around:this._aroundCenter?r.getCenter():r.unproject(d),noMoveStart:!0},{originalEvent:e});}else r.snapToNorth({},{originalEvent:e});}}},nn.prototype._drainInertiaBuffer=function(){for(var t=this._inertia,e=r.now();t.length>2&&e-t[0][0]>160;)t.shift();};var on={scrollZoom:Wi,boxZoom:qi,dragRotate:Hi,dragPan:Yi,keyboard:Ji,doubleClickZoom:tn,touchZoomRotate:nn};var rn=function(e){function i(i,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=i,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this);}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.getCenter=function(){return this.transform.center},i.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},i.prototype.panBy=function(e,i,n){return e=t.default$1.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},i),n)},i.prototype.panTo=function(e,i,n){return this.easeTo(t.extend({center:e},i),n)},i.prototype.getZoom=function(){return this.transform.zoom},i.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},i.prototype.zoomTo=function(e,i,n){return this.easeTo(t.extend({zoom:e},i),n)},i.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},i.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},i.prototype.getBearing=function(){return this.transform.bearing},i.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},i.prototype.rotateTo=function(e,i,n){return this.easeTo(t.extend({bearing:e},i),n)},i.prototype.resetNorth=function(e,i){return this.rotateTo(0,t.extend({duration:1e3},e),i),this},i.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},i.prototype.getPitch=function(){return this.transform.pitch},i.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},i.prototype.fitBounds=function(e,i,n){if(\"number\"==typeof(i=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o};}if(!t.default$10(Object.keys(i.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),[\"bottom\",\"left\",\"right\",\"top\"]))return t.warnOnce(\"options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'\"),this;e=q.convert(e);var r=[(i.padding.left-i.padding.right)/2,(i.padding.top-i.padding.bottom)/2],a=Math.min(i.padding.right,i.padding.left),s=Math.min(i.padding.top,i.padding.bottom);i.offset=[i.offset[0]+r[0],i.offset[1]+r[1]];var l=t.default$1.convert(i.offset),c=this.transform,u=c.project(e.getNorthWest()),h=c.project(e.getSouthEast()),p=h.sub(u),d=(c.width-2*a-2*Math.abs(l.x))/p.x,f=(c.height-2*s-2*Math.abs(l.y))/p.y;return f<0||d<0?(t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\"),this):(i.center=c.unproject(u.add(h).div(2)),i.zoom=Math.min(c.scaleZoom(c.scale*Math.min(d,f)),i.maxZoom),i.bearing=0,i.linear?this.easeTo(i,n):this.flyTo(i,n))},i.prototype.jumpTo=function(e,i){this.stop();var n=this.transform,o=!1,r=!1,a=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(o=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=W.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(r=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(a=!0,n.pitch=+e.pitch),this.fire(new t.Event(\"movestart\",i)).fire(new t.Event(\"move\",i)),o&&this.fire(new t.Event(\"zoomstart\",i)).fire(new t.Event(\"zoom\",i)).fire(new t.Event(\"zoomend\",i)),r&&this.fire(new t.Event(\"rotatestart\",i)).fire(new t.Event(\"rotate\",i)).fire(new t.Event(\"rotateend\",i)),a&&this.fire(new t.Event(\"pitchstart\",i)).fire(new t.Event(\"pitch\",i)).fire(new t.Event(\"pitchend\",i)),this.fire(new t.Event(\"moveend\",i))},i.prototype.easeTo=function(e,i){var n=this;this.stop(),!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate&&(e.duration=0);var o=this.transform,r=this.getZoom(),a=this.getBearing(),s=this.getPitch(),l=\"zoom\"in e?+e.zoom:r,c=\"bearing\"in e?this._normalizeBearing(e.bearing,a):a,u=\"pitch\"in e?+e.pitch:s,h=o.centerPoint.add(t.default$1.convert(e.offset)),p=o.pointLocation(h),d=W.convert(e.center||p);this._normalizeCenter(d);var f,m,_=o.project(p),g=o.project(d).sub(_),v=o.zoomScale(l-r);return e.around&&(f=W.convert(e.around),m=o.locationPoint(f)),this._zooming=l!==r,this._rotating=a!==c,this._pitching=u!==s,this._prepareEase(i,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(o.zoom=t.number(r,l,e)),n._rotating&&(o.bearing=t.number(a,c,e)),n._pitching&&(o.pitch=t.number(s,u,e)),f)o.setLocationAtPoint(f,m);else{var p=o.zoomScale(o.zoom-r),d=l>r?Math.min(2,v):Math.max(.5,v),y=Math.pow(d,1-e),x=o.unproject(_.add(g.mult(e*y)).mult(p));o.setLocationAtPoint(o.renderWorldCopies?x.wrap():x,h);}n._fireMoveEvents(i);},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(i)},e.delayEndEvents):n._afterEase(i);},e),this},i.prototype._prepareEase=function(e,i){this._moving=!0,i||this.fire(new t.Event(\"movestart\",e)),this._zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&this.fire(new t.Event(\"pitchstart\",e));},i.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e));},i.prototype._afterEase=function(e){var i=this._zooming,n=this._rotating,o=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,i&&this.fire(new t.Event(\"zoomend\",e)),n&&this.fire(new t.Event(\"rotateend\",e)),o&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e));},i.prototype.flyTo=function(e,i){var n=this;this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var o=this.transform,r=this.getZoom(),a=this.getBearing(),s=this.getPitch(),l=\"zoom\"in e?t.clamp(+e.zoom,o.minZoom,o.maxZoom):r,c=\"bearing\"in e?this._normalizeBearing(e.bearing,a):a,u=\"pitch\"in e?+e.pitch:s,h=o.zoomScale(l-r),p=o.centerPoint.add(t.default$1.convert(e.offset)),d=o.pointLocation(p),f=W.convert(e.center||d);this._normalizeCenter(f);var m=o.project(d),_=o.project(f).sub(m),g=e.curve,v=Math.max(o.width,o.height),y=v/h,x=_.mag();if(\"minZoom\"in e){var b=t.clamp(Math.min(e.minZoom,r,l),o.minZoom,o.maxZoom),w=v/o.zoomScale(b-r);g=Math.sqrt(w/x*2);}var E=g*g;function T(t){var e=(y*y-v*v+(t?-1:1)*E*E*x*x)/(2*(t?y:v)*E*x);return Math.log(Math.sqrt(e*e+1)-e)}function I(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var S=T(0),z=function(t){return C(S)/C(S+g*t)},A=function(t){return v*((C(S)*(I(e=S+g*t)/C(e))-I(S))/E)/x;var e;},R=(T(1)-S)/g;if(Math.abs(x)<1e-6||!isFinite(R)){if(Math.abs(v-y)<1e-6)return this.easeTo(e,i);var D=y<v?-1:1;R=Math.abs(Math.log(y/v))/g,A=function(){return 0},z=function(t){return Math.exp(D*g*t)};}if(\"duration\"in e)e.duration=+e.duration;else{var M=\"screenSpeed\"in e?+e.screenSpeed/g:+e.speed;e.duration=1e3*R/M;}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=a!==c,this._pitching=u!==s,this._prepareEase(i,!1),this._ease(function(e){var l=e*R,h=1/z(l);o.zoom=r+o.scaleZoom(h),n._rotating&&(o.bearing=t.number(a,c,e)),n._pitching&&(o.pitch=t.number(s,u,e));var d=o.unproject(m.add(_.mult(A(l))).mult(h));o.setLocationAtPoint(o.renderWorldCopies?d.wrap():d,p),n._fireMoveEvents(i);},function(){return n._afterEase(i)},e),this},i.prototype.isEasing=function(){return!!this._easeFrameId},i.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this);}return this},i.prototype._ease=function(t,e,i){!1===i.animate||0===i.duration?(t(1),e()):(this._easeStart=r.now(),this._easeOptions=i,this._onEaseFrame=t,this._onEaseEnd=e,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback));},i.prototype._renderFrameCallback=function(){var t=Math.min((r.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(t)),t<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop();},i.prototype._normalizeBearing=function(e,i){e=t.wrap(e,-180,180);var n=Math.abs(e-i);return Math.abs(e-360-i)<n&&(e-=360),Math.abs(e+360-i)<n&&(e+=360),e},i.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var i=t.lng-e.center.lng;t.lng+=i>180?-360:i<-180?360:0;}},i}(t.Evented),an=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this);};an.prototype.getDefaultPosition=function(){return\"bottom-right\"},an.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=s.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},an.prototype.onRemove=function(){s.remove(this._container),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0;},an.prototype._updateEditLink=function(){var t=this._editLink;t||(t=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var e=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:_.ACCESS_TOKEN}];if(t){var i=e.reduce(function(t,i,n){return i.value&&(t+=i.key+\"=\"+i.value+(n<e.length-1?\"&\":\"\")),t},\"?\");t.href=\"https://www.mapbox.com/feedback/\"+i+(this._map._hash?this._map._hash.getHashString(!0):\"\");}},an.prototype._updateData=function(t){t&&\"metadata\"===t.sourceDataType&&(this._updateAttributions(),this._updateEditLink());},an.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id;}var i=this._map.style.sourceCaches;for(var n in i){var o=i[n].getSource();o.attribution&&t.indexOf(o.attribution)<0&&t.push(o.attribution);}t.sort(function(t,e){return t.length-e.length}),(t=t.filter(function(e,i){for(var n=i+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0})).length?(this._container.innerHTML=t.join(\" | \"),this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null;}},an.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\");};var sn=function(){t.bindAll([\"_updateLogo\"],this);};sn.prototype.onAdd=function(t){this._map=t,this._container=s.create(\"div\",\"mapboxgl-ctrl\");var e=s.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",\"Mapbox logo\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._container},sn.prototype.onRemove=function(){s.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo);},sn.prototype.getDefaultPosition=function(){return\"bottom-left\"},sn.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\");},sn.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}};var ln=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1;};ln.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},ln.prototype.remove=function(t){for(var e=this._currentlyRunning,i=0,n=e?this._queue.concat(e):this._queue;i<n.length;i+=1){var o=n[i];if(o.id===t)return void(o.cancelled=!0)}},ln.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,i=t;e<i.length;e+=1){var n=i[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1;},ln.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[];};var cn=t.default.HTMLImageElement,un=t.default.HTMLElement,hn={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,transformRequest:null,fadeDuration:300},pn=function(i){function n(e){if(null!=(e=t.extend({},hn,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than minZoom\");var n=new Ui(e.minZoom,e.maxZoom,e.renderWorldCopies);i.call(this,n,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new ln;var o=e.transformRequest;if(this._transformRequest=o?function(t,e){return o(t,e)||{url:t}}:function(t){return{url:t}},\"string\"==typeof e.container){var r=t.default.document.getElementById(e.container);if(!r)throw new Error(\"Container '\"+e.container+\"' not found.\");this._container=r;}else{if(!(e.container instanceof un))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container;}e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\",\"_update\",\"_render\",\"_onData\",\"_onDataLoading\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),void 0!==t.default&&(t.default.addEventListener(\"online\",this._onWindowOnline,!1),t.default.addEventListener(\"resize\",this._onWindowResize,!1)),function(t,e){var i=t.getCanvasContainer(),n=null,o=!1;for(var r in on)t[r]=new on[r](t,e),e.interactive&&e[r]&&t[r].enable(e[r]);s.addEventListener(i,\"mouseout\",function(e){t.fire(new ji(\"mouseout\",t,e));}),s.addEventListener(i,\"mousedown\",function(i){o=!0;var n=new ji(\"mousedown\",t,i);t.fire(n),n.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(i),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(i),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(i));}),s.addEventListener(i,\"mouseup\",function(e){var i=t.dragRotate.isActive();n&&!i&&t.fire(new ji(\"contextmenu\",t,n)),n=null,o=!1,t.fire(new ji(\"mouseup\",t,e));}),s.addEventListener(i,\"mousemove\",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var n=e.toElement||e.target;n&&n!==i;)n=n.parentNode;n===i&&t.fire(new ji(\"mousemove\",t,e));}}),s.addEventListener(i,\"mouseover\",function(e){for(var n=e.toElement||e.target;n&&n!==i;)n=n.parentNode;n===i&&t.fire(new ji(\"mouseover\",t,e));}),s.addEventListener(i,\"touchstart\",function(i){var n=new $i(\"touchstart\",t,i);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(i),t.touchZoomRotate.onStart(i),t.doubleClickZoom.onTouchStart(n));},{passive:!1}),s.addEventListener(i,\"touchmove\",function(e){t.fire(new $i(\"touchmove\",t,e));},{passive:!1}),s.addEventListener(i,\"touchend\",function(e){t.fire(new $i(\"touchend\",t,e));}),s.addEventListener(i,\"touchcancel\",function(e){t.fire(new $i(\"touchcancel\",t,e));}),s.addEventListener(i,\"click\",function(e){t.fire(new ji(\"click\",t,e));}),s.addEventListener(i,\"dblclick\",function(e){var i=new ji(\"dblclick\",t,e);t.fire(i),i.defaultPrevented||t.doubleClickZoom.onDblClick(i);}),s.addEventListener(i,\"contextmenu\",function(e){var i=t.dragRotate.isActive();o||i?o&&(n=e):t.fire(new ji(\"contextmenu\",t,e)),e.preventDefault();}),s.addEventListener(i,\"wheel\",function(e){var i=new Gi(\"wheel\",t,e);t.fire(i),i.defaultPrevented||t.scrollZoom.onWheel(e);},{passive:!1});}(this,e),this._hash=e.hash&&(new Vi).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),this.resize(),e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new an),this.addControl(new sn,e.logoPosition),this.on(\"style.load\",function(){this.transform.unmodified&&this.jumpTo(this.style.stylesheet);}),this.on(\"data\",this._onData),this.on(\"dataloading\",this._onDataLoading);}i&&(n.__proto__=i),n.prototype=Object.create(i&&i.prototype),n.prototype.constructor=n;var o={showTileBoundaries:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0}};return n.prototype.addControl=function(t,e){void 0===e&&t.getDefaultPosition&&(e=t.getDefaultPosition()),void 0===e&&(e=\"top-right\");var i=t.onAdd(this),n=this._controlPositions[e];return-1!==e.indexOf(\"bottom\")?n.insertBefore(i,n.firstChild):n.appendChild(i),this},n.prototype.removeControl=function(t){return t.onRemove(this),this},n.prototype.resize=function(e){var i=this._containerDimensions(),n=i[0],o=i[1];return this._resizeCanvas(n,o),this.transform.resize(n,o),this.painter.resize(n,o),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e)).fire(new t.Event(\"resize\",e)).fire(new t.Event(\"moveend\",e))},n.prototype.getBounds=function(){var e=new q(this.transform.pointLocation(new t.default$1(0,this.transform.height)),this.transform.pointLocation(new t.default$1(this.transform.width,0)));return(this.transform.angle||this.transform.pitch)&&(e.extend(this.transform.pointLocation(new t.default$1(this.transform.size.x,0))),e.extend(this.transform.pointLocation(new t.default$1(0,this.transform.size.y)))),e},n.prototype.getMaxBounds=function(){return this.transform.latRange&&2===this.transform.latRange.length&&this.transform.lngRange&&2===this.transform.lngRange.length?new q([this.transform.lngRange[0],this.transform.latRange[0]],[this.transform.lngRange[1],this.transform.latRange[1]]):null},n.prototype.setMaxBounds=function(t){if(t){var e=q.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update();}else null==t&&(this.transform.lngRange=null,this.transform.latRange=null,this._update());return this},n.prototype.setMinZoom=function(t){if((t=null==t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},n.prototype.getMinZoom=function(){return this.transform.minZoom},n.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},n.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},n.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update(),this},n.prototype.getMaxZoom=function(){return this.transform.maxZoom},n.prototype.project=function(t){return this.transform.locationPoint(W.convert(t))},n.prototype.unproject=function(e){return this.transform.pointLocation(t.default$1.convert(e))},n.prototype.isMoving=function(){return this._moving||this.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},n.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isActive()},n.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},n.prototype.on=function(t,e,n){var o,r=this;if(void 0===n)return i.prototype.on.call(this,t,e);var a=function(){if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:n,delegates:{mousemove:function(o){var a=r.getLayer(e)?r.queryRenderedFeatures(o.point,{layers:[e]}):[];a.length?i||(i=!0,n.call(r,new ji(t,r,o.originalEvent,{features:a}))):i=!1;},mouseout:function(){i=!1;}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var a=!1;return{layer:e,listener:n,delegates:{mousemove:function(i){(r.getLayer(e)?r.queryRenderedFeatures(i.point,{layers:[e]}):[]).length?a=!0:a&&(a=!1,n.call(r,new ji(t,r,i.originalEvent)));},mouseout:function(e){a&&(a=!1,n.call(r,new ji(t,r,e.originalEvent)));}}}}return{layer:e,listener:n,delegates:(o={},o[t]=function(t){var i=r.getLayer(e)?r.queryRenderedFeatures(t.point,{layers:[e]}):[];i.length&&(t.features=i,n.call(r,t),delete t.features);},o)}}();for(var s in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)r.on(s,a.delegates[s]);return this},n.prototype.off=function(t,e,n){if(void 0===n)return i.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var o=this._delegatedListeners[t],r=0;r<o.length;r++){var a=o[r];if(a.layer===e&&a.listener===n){for(var s in a.delegates)this.off(s,a.delegates[s]);return o.splice(r,1),this}}return this},n.prototype.queryRenderedFeatures=function(e,i){var n;return 2===arguments.length?(e=arguments[0],i=arguments[1]):1===arguments.length&&((n=arguments[0])instanceof t.default$1||Array.isArray(n))?(e=arguments[0],i={}):1===arguments.length?(e=void 0,i=arguments[0]):(e=void 0,i={}),this.style?this.style.queryRenderedFeatures(this._makeQueryGeometry(e),i,this.transform):[]},n.prototype._makeQueryGeometry=function(e){var i,n=this;if(void 0===e&&(e=[t.default$1.convert([0,0]),t.default$1.convert([this.transform.width,this.transform.height])]),e instanceof t.default$1||\"number\"==typeof e[0]){i=[t.default$1.convert(e)];}else{var o=[t.default$1.convert(e[0]),t.default$1.convert(e[1])];i=[o[0],new t.default$1(o[1].x,o[0].y),o[1],new t.default$1(o[0].x,o[1].y),o[0]];}return{viewport:i,worldCoordinate:i.map(function(t){return n.transform.pointCoordinate(t)})}},n.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},n.prototype.setStyle=function(e,i){if((!i||!1!==i.diff&&!i.localIdeographFontFamily)&&this.style&&e&&\"object\"==typeof e)try{return this.style.setState(e)&&this._update(!0),this}catch(e){t.warnOnce(\"Unable to perform style diff: \"+(e.message||e.error||e)+\".  Rebuilding the style from scratch.\");}return this.style&&(this.style.setEventedParent(null),this.style._remove()),e?(this.style=new Qe(this,i||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof e?this.style.loadURL(e):this.style.loadJSON(e),this):(delete this.style,this)},n.prototype.getStyle=function(){if(this.style)return this.style.serialize()},n.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},n.prototype.addSource=function(t,e){return this.style.addSource(t,e),this._update(!0),this},n.prototype.isSourceLoaded=function(e){var i=this.style&&this.style.sourceCaches[e];if(void 0!==i)return i.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")));},n.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var i=t[e]._tiles;for(var n in i){var o=i[n];if(\"loaded\"!==o.state&&\"errored\"!==o.state)return!1}}return!0},n.prototype.addSourceType=function(t,e,i){return this.style.addSourceType(t,e,i)},n.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0),this},n.prototype.getSource=function(t){return this.style.getSource(t)},n.prototype.addImage=function(e,i,n){void 0===n&&(n={});var o=n.pixelRatio;void 0===o&&(o=1);var a=n.sdf;if(void 0===a&&(a=!1),i instanceof cn){var s=r.getImageData(i),l=s.width,c=s.height,u=s.data;this.style.addImage(e,{data:new t.RGBAImage({width:l,height:c},u),pixelRatio:o,sdf:a});}else{if(void 0===i.width||void 0===i.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var h=i.width,p=i.height,d=i.data;this.style.addImage(e,{data:new t.RGBAImage({width:h,height:p},d.slice(0)),pixelRatio:o,sdf:a});}},n.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},n.prototype.removeImage=function(t){this.style.removeImage(t);},n.prototype.loadImage=function(e,i){t.getImage(this._transformRequest(e,t.ResourceType.Image),i);},n.prototype.addLayer=function(t,e){return this.style.addLayer(t,e),this._update(!0),this},n.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0),this},n.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0),this},n.prototype.getLayer=function(t){return this.style.getLayer(t)},n.prototype.setFilter=function(t,e){return this.style.setFilter(t,e),this._update(!0),this},n.prototype.setLayerZoomRange=function(t,e,i){return this.style.setLayerZoomRange(t,e,i),this._update(!0),this},n.prototype.getFilter=function(t){return this.style.getFilter(t)},n.prototype.setPaintProperty=function(t,e,i){return this.style.setPaintProperty(t,e,i),this._update(!0),this},n.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},n.prototype.setLayoutProperty=function(t,e,i){return this.style.setLayoutProperty(t,e,i),this._update(!0),this},n.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},n.prototype.setLight=function(t){return this.style.setLight(t),this._update(!0),this},n.prototype.getLight=function(){return this.style.getLight()},n.prototype.getContainer=function(){return this._container},n.prototype.getCanvasContainer=function(){return this._canvasContainer},n.prototype.getCanvas=function(){return this._canvas},n.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),[t,e]},n.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSContainer=s.create(\"div\",\"mapboxgl-missing-css\",t)).innerHTML=\"Missing Mapbox GL JS CSS\";var e=this._canvasContainer=s.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=s.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.style.position=\"absolute\",this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var i=this._containerDimensions();this._resizeCanvas(i[0],i[1]);var n=this._controlContainer=s.create(\"div\",\"mapboxgl-control-container\",t),o=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){o[t]=s.create(\"div\",\"mapboxgl-ctrl-\"+t,n);});},n.prototype._resizeCanvas=function(e,i){var n=t.default.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*i,this._canvas.style.width=e+\"px\",this._canvas.style.height=i+\"px\";},n.prototype._setupPainter=function(){var i=t.extend({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer},e.webGLContextAttributes),n=this._canvas.getContext(\"webgl\",i)||this._canvas.getContext(\"experimental-webgl\",i);n?this.painter=new Li(n,this.transform):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")));},n.prototype._contextLost=function(e){e.preventDefault(),this._frameId&&(r.cancelFrame(this._frameId),this._frameId=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}));},n.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}));},n.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},n.prototype._update=function(t){this.style&&(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender());},n.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},n.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t);},n.prototype._render=function(){this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var i=this.transform.zoom,n=r.now();this.style.zoomHistory.update(i,n);var o=new t.default$16(i,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),a=o.crossFadingFactor();1===a&&a===this._crossFadingFactor||(e=!0,this._crossFadingFactor=a),this.style.update(o);}return this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),fadeDuration:this._fadeDuration}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty)&&this._rerender(),this},n.prototype.remove=function(){this._hash&&this._hash.remove(),r.cancelFrame(this._frameId),this._renderTaskQueue.clear(),this._frameId=null,this.setStyle(null),void 0!==t.default&&(t.default.removeEventListener(\"resize\",this._onWindowResize,!1),t.default.removeEventListener(\"online\",this._onWindowOnline,!1));var e=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");e&&e.loseContext(),dn(this._canvasContainer),dn(this._controlContainer),dn(this._missingCSSContainer),this._container.classList.remove(\"mapboxgl-map\"),this.fire(new t.Event(\"remove\"));},n.prototype._rerender=function(){var t=this;this.style&&!this._frameId&&(this._frameId=r.frame(function(){t._frameId=null,t._render();}));},n.prototype._onWindowOnline=function(){this._update();},n.prototype._onWindowResize=function(){this._trackResize&&this.stop().resize()._update();},o.showTileBoundaries.get=function(){return!!this._showTileBoundaries},o.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update());},o.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},o.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update());},o.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},o.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update());},o.repaint.get=function(){return!!this._repaint},o.repaint.set=function(t){this._repaint=t,this._update();},o.vertices.get=function(){return!!this._vertices},o.vertices.set=function(t){this._vertices=t,this._update();},n.prototype._onData=function(e){this._update(\"style\"===e.dataType),this.fire(new t.Event(e.dataType+\"data\",e));},n.prototype._onDataLoading=function(e){this.fire(new t.Event(e.dataType+\"dataloading\",e));},Object.defineProperties(n.prototype,o),n}(rn);function dn(t){t.parentNode&&t.parentNode.removeChild(t);}var fn={showCompass:!0,showZoom:!0},mn=function(e){var i=this;this.options=t.extend({},fn,e),this._container=s.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this.options.showZoom&&(this._zoomInButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in\",\"Zoom In\",function(){return i._map.zoomIn()}),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out\",\"Zoom Out\",function(){return i._map.zoomOut()})),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-compass\",\"Reset North\",function(){return i._map.resetNorth()}),this._compassArrow=s.create(\"span\",\"mapboxgl-ctrl-compass-arrow\",this._compass));};function _n(t,e,i){if(t=new W(t.lng,t.lat),e){var n=new W(t.lng-360,t.lat),o=new W(t.lng+360,t.lat),r=i.locationPoint(t).distSqr(e);i.locationPoint(n).distSqr(e)<r?t=n:i.locationPoint(o).distSqr(e)<r&&(t=o);}for(;Math.abs(t.lng-i.center.lng)>180;){var a=i.locationPoint(t);if(a.x>=0&&a.y>=0&&a.x<=i.width&&a.y<=i.height)break;t.lng>i.center.lng?t.lng-=360:t.lng+=360;}return t}mn.prototype._rotateCompassArrow=function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t;},mn.prototype.onAdd=function(t){return this._map=t,this.options.showCompass&&(this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Hi(t,{button:\"left\",element:this._compass}),this._handler.enable()),this._container},mn.prototype.onRemove=function(){s.remove(this._container),this.options.showCompass&&(this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.disable(),delete this._handler),delete this._map;},mn.prototype._createButton=function(t,e,i){var n=s.create(\"button\",t,this._container);return n.type=\"button\",n.setAttribute(\"aria-label\",e),n.addEventListener(\"click\",i),n};var gn={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function vn(t,e,i){var n=t.classList;for(var o in gn)n.remove(\"mapboxgl-\"+i+\"-anchor-\"+o);n.add(\"mapboxgl-\"+i+\"-anchor-\"+e);}var yn=function(e){if((arguments[0]instanceof t.default.HTMLElement||2===arguments.length)&&(e=t.extend({element:e},arguments[1])),t.bindAll([\"_update\",\"_onMapClick\"],this),this._anchor=e&&e.anchor||\"center\",this._color=e&&e.color||\"#3FB1CE\",e&&e.element)this._element=e.element,this._offset=t.default$1.convert(e&&e.offset||[0,0]);else{this._defaultMarker=!0,this._element=s.create(\"div\");var i=s.createNS(\"http://www.w3.org/2000/svg\",\"svg\");i.setAttributeNS(null,\"height\",\"41px\"),i.setAttributeNS(null,\"width\",\"27px\"),i.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var n=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");n.setAttributeNS(null,\"stroke\",\"none\"),n.setAttributeNS(null,\"stroke-width\",\"1\"),n.setAttributeNS(null,\"fill\",\"none\"),n.setAttributeNS(null,\"fill-rule\",\"evenodd\");var o=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"fill-rule\",\"nonzero\");var r=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");r.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),r.setAttributeNS(null,\"fill\",\"#000000\");for(var a=0,l=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];a<l.length;a+=1){var c=l[a],u=s.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");u.setAttributeNS(null,\"opacity\",\"0.04\"),u.setAttributeNS(null,\"cx\",\"10.5\"),u.setAttributeNS(null,\"cy\",\"5.80029008\"),u.setAttributeNS(null,\"rx\",c.rx),u.setAttributeNS(null,\"ry\",c.ry),r.appendChild(u);}var h=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");h.setAttributeNS(null,\"fill\",this._color);var p=s.createNS(\"http://www.w3.org/2000/svg\",\"path\");p.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),h.appendChild(p);var d=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"opacity\",\"0.25\"),d.setAttributeNS(null,\"fill\",\"#000000\");var f=s.createNS(\"http://www.w3.org/2000/svg\",\"path\");f.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),d.appendChild(f);var m=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var _=s.createNS(\"http://www.w3.org/2000/svg\",\"g\");_.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var g=s.createNS(\"http://www.w3.org/2000/svg\",\"circle\");g.setAttributeNS(null,\"fill\",\"#000000\"),g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"cx\",\"5.5\"),g.setAttributeNS(null,\"cy\",\"5.5\"),g.setAttributeNS(null,\"r\",\"5.4999962\");var v=s.createNS(\"http://www.w3.org/2000/svg\",\"circle\");v.setAttributeNS(null,\"fill\",\"#FFFFFF\"),v.setAttributeNS(null,\"cx\",\"5.5\"),v.setAttributeNS(null,\"cy\",\"5.5\"),v.setAttributeNS(null,\"r\",\"5.4999962\"),_.appendChild(g),_.appendChild(v),o.appendChild(r),o.appendChild(h),o.appendChild(d),o.appendChild(m),o.appendChild(_),i.appendChild(o),this._element.appendChild(i),this._offset=t.default$1.convert(e&&e.offset||[0,-14]);}this._element.classList.add(\"mapboxgl-marker\"),this._popup=null;};yn.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this._update(),this._map.on(\"click\",this._onMapClick),this},yn.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),delete this._map),s.remove(this._element),this._popup&&this._popup.remove(),this},yn.prototype.getLngLat=function(){return this._lngLat},yn.prototype.setLngLat=function(t){return this._lngLat=W.convert(t),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},yn.prototype.getElement=function(){return this._element},yn.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset;}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat);}return this},yn.prototype._onMapClick=function(t){var e=t.originalEvent.target,i=this._element;this._popup&&(e===i||i.contains(e))&&this.togglePopup();},yn.prototype.getPopup=function(){return this._popup},yn.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},yn.prototype._update=function(t){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=_n(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),s.setTransform(this._element,gn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px)\"),vn(this._element,this._anchor,\"marker\"));},yn.prototype.getOffset=function(){return this._offset},yn.prototype.setOffset=function(e){return this._offset=t.default$1.convert(e),this._update(),this};var xn,bn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0};var wn=function(e){function i(i){e.call(this),this.options=t.extend({},bn,i),t.bindAll([\"_onSuccess\",\"_onError\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this);}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.onAdd=function(e){var i;return this._map=e,this._container=s.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),i=this._setupUI,void 0!==xn?i(xn):void 0!==t.default.navigator.permissions?t.default.navigator.permissions.query({name:\"geolocation\"}).then(function(t){xn=\"denied\"!==t.state,i(xn);}):(xn=!!t.default.navigator.geolocation,i(xn)),this._container},i.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.default.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker.remove(),s.remove(this._container),this._map=void 0;},i.prototype._onSuccess=function(e){if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish();},i.prototype._updateCamera=function(t){var e=new W(t.coords.longitude,t.coords.latitude),i=t.coords.accuracy;this._map.fitBounds(e.toBounds(i),this.options.fitBoundsOptions,{geolocateSource:!0});},i.prototype._updateMarker=function(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove();},i.prototype._onError=function(e){if(this.options.trackUserLocation)if(1===e.code)this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),void 0!==this._geolocationWatchID&&this._clearWatch();else switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish();},i.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0;},i.prototype._setupUI=function(e){var i=this;!1!==e&&(this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this._geolocateButton=s.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.setAttribute(\"aria-label\",\"Geolocate\"),this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=s.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new yn(this._dotElement),this.options.trackUserLocation&&(this._watchState=\"OFF\")),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==i._watchState||(i._watchState=\"BACKGROUND\",i._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),i._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),i.fire(new t.Event(\"trackuserlocationend\")));}));},i.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"));}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\");}\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),this._geolocationWatchID=t.default.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions));}else t.default.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},i.prototype._clearWatch=function(){t.default.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null);},i}(t.Evented),En={maxWidth:100,unit:\"metric\"},Tn=function(e){this.options=t.extend({},En,e),t.bindAll([\"_onMove\",\"setUnit\"],this);};function In(t,e,i){var n,o,r,a,s,l,c=i&&i.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),o=t.unproject([c,u]),r=Math.PI/180,a=n.lat*r,s=o.lat*r,l=Math.sin(a)*Math.sin(s)+Math.cos(a)*Math.cos(s)*Math.cos((o.lng-n.lng)*r),6371e3*Math.acos(Math.min(l,1)));if(i&&\"imperial\"===i.unit){var p=3.2808*h;if(p>5280)Cn(e,c,p/5280,\"mi\");else Cn(e,c,p,\"ft\");}else if(i&&\"nautical\"===i.unit){Cn(e,c,h/1852,\"nm\");}else Cn(e,c,h,\"m\");}function Cn(t,e,i,n){var o,r,a,s=(o=i,(r=Math.pow(10,(\"\"+Math.floor(o)).length-1))*(a=(a=o/r)>=10?10:a>=5?5:a>=3?3:a>=2?2:1)),l=s/i;\"m\"===n&&s>=1e3&&(s/=1e3,n=\"km\"),t.style.width=e*l+\"px\",t.innerHTML=s+n;}Tn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Tn.prototype._onMove=function(){In(this._map,this._container,this.options);},Tn.prototype.onAdd=function(t){return this._map=t,this._container=s.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Tn.prototype.onRemove=function(){s.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0;},Tn.prototype.setUnit=function(t){this.options.unit=t,In(this._map,this._container,this.options);};var Sn=function(){this._fullscreen=!1,t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.default.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.default.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.default.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.default.document&&(this._fullscreenchange=\"MSFullscreenChange\"),this._className=\"mapboxgl-ctrl\";};Sn.prototype.onAdd=function(e){return this._map=e,this._mapContainer=this._map.getContainer(),this._container=s.create(\"div\",this._className+\" mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._container.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._container},Sn.prototype.onRemove=function(){s.remove(this._container),this._map=null,t.default.document.removeEventListener(this._fullscreenchange,this._changeIcon);},Sn.prototype._checkFullscreenSupport=function(){return!!(t.default.document.fullscreenEnabled||t.default.document.mozFullScreenEnabled||t.default.document.msFullscreenEnabled||t.default.document.webkitFullscreenEnabled)},Sn.prototype._setupUI=function(){var e=this._fullscreenButton=s.create(\"button\",this._className+\"-icon \"+this._className+\"-fullscreen\",this._container);e.setAttribute(\"aria-label\",\"Toggle fullscreen\"),e.type=\"button\",this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.default.document.addEventListener(this._fullscreenchange,this._changeIcon);},Sn.prototype._isFullscreen=function(){return this._fullscreen},Sn.prototype._changeIcon=function(){(t.default.document.fullscreenElement||t.default.document.mozFullScreenElement||t.default.document.webkitFullscreenElement||t.default.document.msFullscreenElement)===this._mapContainer!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(this._className+\"-shrink\"),this._fullscreenButton.classList.toggle(this._className+\"-fullscreen\"));},Sn.prototype._onClickFullscreen=function(){this._isFullscreen()?t.default.document.exitFullscreen?t.default.document.exitFullscreen():t.default.document.mozCancelFullScreen?t.default.document.mozCancelFullScreen():t.default.document.msExitFullscreen?t.default.document.msExitFullscreen():t.default.document.webkitCancelFullScreen&&t.default.document.webkitCancelFullScreen():this._mapContainer.requestFullscreen?this._mapContainer.requestFullscreen():this._mapContainer.mozRequestFullScreen?this._mapContainer.mozRequestFullScreen():this._mapContainer.msRequestFullscreen?this._mapContainer.msRequestFullscreen():this._mapContainer.webkitRequestFullscreen&&this._mapContainer.webkitRequestFullscreen();};var zn={closeButton:!0,closeOnClick:!0},An=function(e){function i(i){e.call(this),this.options=t.extend(Object.create(zn),i),t.bindAll([\"_update\",\"_onClickClose\"],this);}return e&&(i.__proto__=e),i.prototype=Object.create(e&&e.prototype),i.prototype.constructor=i,i.prototype.addTo=function(e){return this._map=e,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this.fire(new t.Event(\"open\")),this},i.prototype.isOpen=function(){return!!this._map},i.prototype.remove=function(){return this._content&&s.remove(this._content),this._container&&(s.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(new t.Event(\"close\")),this},i.prototype.getLngLat=function(){return this._lngLat},i.prototype.setLngLat=function(t){return this._lngLat=W.convert(t),this._pos=null,this._update(),this},i.prototype.setText=function(e){return this.setDOMContent(t.default.document.createTextNode(e))},i.prototype.setHTML=function(e){var i,n=t.default.document.createDocumentFragment(),o=t.default.document.createElement(\"body\");for(o.innerHTML=e;i=o.firstChild;)n.appendChild(i);return this.setDOMContent(n)},i.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},i.prototype._createContent=function(){this._content&&s.remove(this._content),this._content=s.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=s.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClickClose));},i.prototype._update=function(){if(this._map&&this._lngLat&&this._content){this._container||(this._container=s.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=s.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content)),this._map.transform.renderWorldCopies&&(this._lngLat=_n(this._lngLat,this._pos,this._map.transform));var e=this._pos=this._map.project(this._lngLat),i=this.options.anchor,n=function e(i){if(i){if(\"number\"==typeof i){var n=Math.round(Math.sqrt(.5*Math.pow(i,2)));return{center:new t.default$1(0,0),top:new t.default$1(0,i),\"top-left\":new t.default$1(n,n),\"top-right\":new t.default$1(-n,n),bottom:new t.default$1(0,-i),\"bottom-left\":new t.default$1(n,-n),\"bottom-right\":new t.default$1(-n,-n),left:new t.default$1(i,0),right:new t.default$1(-i,0)}}if(i instanceof t.default$1||Array.isArray(i)){var o=t.default$1.convert(i);return{center:o,top:o,\"top-left\":o,\"top-right\":o,bottom:o,\"bottom-left\":o,\"bottom-right\":o,left:o,right:o}}return{center:t.default$1.convert(i.center||[0,0]),top:t.default$1.convert(i.top||[0,0]),\"top-left\":t.default$1.convert(i[\"top-left\"]||[0,0]),\"top-right\":t.default$1.convert(i[\"top-right\"]||[0,0]),bottom:t.default$1.convert(i.bottom||[0,0]),\"bottom-left\":t.default$1.convert(i[\"bottom-left\"]||[0,0]),\"bottom-right\":t.default$1.convert(i[\"bottom-right\"]||[0,0]),left:t.default$1.convert(i.left||[0,0]),right:t.default$1.convert(i.right||[0,0])}}return e(new t.default$1(0,0))}(this.options.offset);if(!i){var o,r=this._container.offsetWidth,a=this._container.offsetHeight;o=e.y+n.bottom.y<a?[\"top\"]:e.y>this._map.transform.height-a?[\"bottom\"]:[],e.x<r/2?o.push(\"left\"):e.x>this._map.transform.width-r/2&&o.push(\"right\"),i=0===o.length?\"bottom\":o.join(\"-\");}var l=e.add(n[i]).round();s.setTransform(this._container,gn[i]+\" translate(\"+l.x+\"px,\"+l.y+\"px)\"),vn(this._container,i,\"popup\");}},i.prototype._onClickClose=function(){this.remove();},i}(t.Evented);var Rn={version:\"0.45.0\",supported:e,workerCount:Math.max(Math.floor(r.hardwareConcurrency/2),1),setRTLTextPlugin:t.setRTLTextPlugin,Map:pn,NavigationControl:mn,GeolocateControl:wn,AttributionControl:an,ScaleControl:Tn,FullscreenControl:Sn,Popup:An,Marker:yn,Style:Qe,LngLat:W,LngLatBounds:q,Point:t.default$1,Evented:t.Evented,config:_,get accessToken(){return _.ACCESS_TOKEN},set accessToken(t){_.ACCESS_TOKEN=t;},workerUrl:\"\"};return Rn});\n\n//\n\nreturn mapboxgl;\n\n})));\n\n\n}).call(this,typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {})\n},{}],410:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = createTable\n\nvar chull = _dereq_('convex-hull')\n\nfunction constructVertex(d, a, b) {\n  var x = new Array(d)\n  for(var i=0; i<d; ++i) {\n    x[i] = 0.0\n    if(i === a) {\n      x[i] += 0.5\n    }\n    if(i === b) {\n      x[i] += 0.5\n    }\n  }\n  return x\n}\n\nfunction constructCell(dimension, mask) {\n  if(mask === 0 || mask === (1<<(dimension+1))-1) {\n    return []\n  }\n  var points = []\n  var index  = []\n  for(var i=0; i<=dimension; ++i) {\n    if(mask & (1<<i)) {\n      points.push(constructVertex(dimension, i-1, i-1))\n      index.push(null)\n      for(var j=0; j<=dimension; ++j) {\n        if(~mask & (1<<j)) {\n          points.push(constructVertex(dimension, i-1, j-1))\n          index.push([i,j])\n        }\n      }\n    }\n  }\n  \n  //Preprocess points so first d+1 points are linearly independent\n  var hull = chull(points)\n  var faces = []\ni_loop:\n  for(var i=0; i<hull.length; ++i) {\n    var face = hull[i]\n    var nface = []\n    for(var j=0; j<face.length; ++j) {\n      if(!index[face[j]]) {\n        continue i_loop\n      }\n      nface.push(index[face[j]].slice())\n    }\n    faces.push(nface)\n  }\n  return faces\n}\n\nfunction createTable(dimension) {\n  var numCells = 1<<(dimension+1)\n  var result = new Array(numCells)\n  for(var i=0; i<numCells; ++i) {\n    result[i] = constructCell(dimension, i)\n  }\n  return result\n}\n},{\"convex-hull\":118}],411:[function(_dereq_,module,exports){\n/*jshint unused:true*/\n/*\nInput:  matrix      ; a 4x4 matrix\nOutput: translation ; a 3 component vector\n        scale       ; a 3 component vector\n        skew        ; skew factors XY,XZ,YZ represented as a 3 component vector\n        perspective ; a 4 component vector\n        quaternion  ; a 4 component vector\nReturns false if the matrix cannot be decomposed, true if it can\n\n\nReferences:\nhttps://github.com/kamicane/matrix3d/blob/master/lib/Matrix3d.js\nhttps://github.com/ChromiumWebApps/chromium/blob/master/ui/gfx/transform_util.cc\nhttp://www.w3.org/TR/css3-transforms/#decomposing-a-3d-matrix\n*/\n\nvar normalize = _dereq_('./normalize')\n\nvar create = _dereq_('gl-mat4/create')\nvar clone = _dereq_('gl-mat4/clone')\nvar determinant = _dereq_('gl-mat4/determinant')\nvar invert = _dereq_('gl-mat4/invert')\nvar transpose = _dereq_('gl-mat4/transpose')\nvar vec3 = {\n    length: _dereq_('gl-vec3/length'),\n    normalize: _dereq_('gl-vec3/normalize'),\n    dot: _dereq_('gl-vec3/dot'),\n    cross: _dereq_('gl-vec3/cross')\n}\n\nvar tmp = create()\nvar perspectiveMatrix = create()\nvar tmpVec4 = [0, 0, 0, 0]\nvar row = [ [0,0,0], [0,0,0], [0,0,0] ]\nvar pdum3 = [0,0,0]\n\nmodule.exports = function decomposeMat4(matrix, translation, scale, skew, perspective, quaternion) {\n    if (!translation) translation = [0,0,0]\n    if (!scale) scale = [0,0,0]\n    if (!skew) skew = [0,0,0]\n    if (!perspective) perspective = [0,0,0,1]\n    if (!quaternion) quaternion = [0,0,0,1]\n\n    //normalize, if not possible then bail out early\n    if (!normalize(tmp, matrix))\n        return false\n\n    // perspectiveMatrix is used to solve for perspective, but it also provides\n    // an easy way to test for singularity of the upper 3x3 component.\n    clone(perspectiveMatrix, tmp)\n\n    perspectiveMatrix[3] = 0\n    perspectiveMatrix[7] = 0\n    perspectiveMatrix[11] = 0\n    perspectiveMatrix[15] = 1\n\n    // If the perspectiveMatrix is not invertible, we are also unable to\n    // decompose, so we'll bail early. Constant taken from SkMatrix44::invert.\n    if (Math.abs(determinant(perspectiveMatrix) < 1e-8))\n        return false\n\n    var a03 = tmp[3], a13 = tmp[7], a23 = tmp[11],\n            a30 = tmp[12], a31 = tmp[13], a32 = tmp[14], a33 = tmp[15]\n\n    // First, isolate perspective.\n    if (a03 !== 0 || a13 !== 0 || a23 !== 0) {\n        tmpVec4[0] = a03\n        tmpVec4[1] = a13\n        tmpVec4[2] = a23\n        tmpVec4[3] = a33\n\n        // Solve the equation by inverting perspectiveMatrix and multiplying\n        // rightHandSide by the inverse.\n        // resuing the perspectiveMatrix here since it's no longer needed\n        var ret = invert(perspectiveMatrix, perspectiveMatrix)\n        if (!ret) return false\n        transpose(perspectiveMatrix, perspectiveMatrix)\n\n        //multiply by transposed inverse perspective matrix, into perspective vec4\n        vec4multMat4(perspective, tmpVec4, perspectiveMatrix)\n    } else { \n        //no perspective\n        perspective[0] = perspective[1] = perspective[2] = 0\n        perspective[3] = 1\n    }\n\n    // Next take care of translation\n    translation[0] = a30\n    translation[1] = a31\n    translation[2] = a32\n\n    // Now get scale and shear. 'row' is a 3 element array of 3 component vectors\n    mat3from4(row, tmp)\n\n    // Compute X scale factor and normalize first row.\n    scale[0] = vec3.length(row[0])\n    vec3.normalize(row[0], row[0])\n\n    // Compute XY shear factor and make 2nd row orthogonal to 1st.\n    skew[0] = vec3.dot(row[0], row[1])\n    combine(row[1], row[1], row[0], 1.0, -skew[0])\n\n    // Now, compute Y scale and normalize 2nd row.\n    scale[1] = vec3.length(row[1])\n    vec3.normalize(row[1], row[1])\n    skew[0] /= scale[1]\n\n    // Compute XZ and YZ shears, orthogonalize 3rd row\n    skew[1] = vec3.dot(row[0], row[2])\n    combine(row[2], row[2], row[0], 1.0, -skew[1])\n    skew[2] = vec3.dot(row[1], row[2])\n    combine(row[2], row[2], row[1], 1.0, -skew[2])\n\n    // Next, get Z scale and normalize 3rd row.\n    scale[2] = vec3.length(row[2])\n    vec3.normalize(row[2], row[2])\n    skew[1] /= scale[2]\n    skew[2] /= scale[2]\n\n\n    // At this point, the matrix (in rows) is orthonormal.\n    // Check for a coordinate system flip.  If the determinant\n    // is -1, then negate the matrix and the scaling factors.\n    vec3.cross(pdum3, row[1], row[2])\n    if (vec3.dot(row[0], pdum3) < 0) {\n        for (var i = 0; i < 3; i++) {\n            scale[i] *= -1;\n            row[i][0] *= -1\n            row[i][1] *= -1\n            row[i][2] *= -1\n        }\n    }\n\n    // Now, get the rotations out\n    quaternion[0] = 0.5 * Math.sqrt(Math.max(1 + row[0][0] - row[1][1] - row[2][2], 0))\n    quaternion[1] = 0.5 * Math.sqrt(Math.max(1 - row[0][0] + row[1][1] - row[2][2], 0))\n    quaternion[2] = 0.5 * Math.sqrt(Math.max(1 - row[0][0] - row[1][1] + row[2][2], 0))\n    quaternion[3] = 0.5 * Math.sqrt(Math.max(1 + row[0][0] + row[1][1] + row[2][2], 0))\n\n    if (row[2][1] > row[1][2])\n        quaternion[0] = -quaternion[0]\n    if (row[0][2] > row[2][0])\n        quaternion[1] = -quaternion[1]\n    if (row[1][0] > row[0][1])\n        quaternion[2] = -quaternion[2]\n    return true\n}\n\n//will be replaced by gl-vec4 eventually\nfunction vec4multMat4(out, a, m) {\n    var x = a[0], y = a[1], z = a[2], w = a[3];\n    out[0] = m[0] * x + m[4] * y + m[8] * z + m[12] * w;\n    out[1] = m[1] * x + m[5] * y + m[9] * z + m[13] * w;\n    out[2] = m[2] * x + m[6] * y + m[10] * z + m[14] * w;\n    out[3] = m[3] * x + m[7] * y + m[11] * z + m[15] * w;\n    return out;\n}\n\n//gets upper-left of a 4x4 matrix into a 3x3 of vectors\nfunction mat3from4(out, mat4x4) {\n    out[0][0] = mat4x4[0]\n    out[0][1] = mat4x4[1]\n    out[0][2] = mat4x4[2]\n    \n    out[1][0] = mat4x4[4]\n    out[1][1] = mat4x4[5]\n    out[1][2] = mat4x4[6]\n\n    out[2][0] = mat4x4[8]\n    out[2][1] = mat4x4[9]\n    out[2][2] = mat4x4[10]\n}\n\nfunction combine(out, a, b, scale1, scale2) {\n    out[0] = a[0] * scale1 + b[0] * scale2\n    out[1] = a[1] * scale1 + b[1] * scale2\n    out[2] = a[2] * scale1 + b[2] * scale2\n}\n},{\"./normalize\":412,\"gl-mat4/clone\":248,\"gl-mat4/create\":249,\"gl-mat4/determinant\":250,\"gl-mat4/invert\":254,\"gl-mat4/transpose\":264,\"gl-vec3/cross\":317,\"gl-vec3/dot\":322,\"gl-vec3/length\":332,\"gl-vec3/normalize\":339}],412:[function(_dereq_,module,exports){\nmodule.exports = function normalize(out, mat) {\n    var m44 = mat[15]\n    // Cannot normalize.\n    if (m44 === 0) \n        return false\n    var scale = 1 / m44\n    for (var i=0; i<16; i++)\n        out[i] = mat[i] * scale\n    return true\n}\n},{}],413:[function(_dereq_,module,exports){\nvar lerp = _dereq_('gl-vec3/lerp')\n\nvar recompose = _dereq_('mat4-recompose')\nvar decompose = _dereq_('mat4-decompose')\nvar determinant = _dereq_('gl-mat4/determinant')\nvar slerp = _dereq_('quat-slerp')\n\nvar state0 = state()\nvar state1 = state()\nvar tmp = state()\n\nmodule.exports = interpolate\nfunction interpolate(out, start, end, alpha) {\n    if (determinant(start) === 0 || determinant(end) === 0)\n        return false\n\n    //decompose the start and end matrices into individual components\n    var r0 = decompose(start, state0.translate, state0.scale, state0.skew, state0.perspective, state0.quaternion)\n    var r1 = decompose(end, state1.translate, state1.scale, state1.skew, state1.perspective, state1.quaternion)\n    if (!r0 || !r1)\n        return false    \n\n\n    //now lerp/slerp the start and end components into a temporary     lerp(tmptranslate, state0.translate, state1.translate, alpha)\n    lerp(tmp.translate, state0.translate, state1.translate, alpha)\n    lerp(tmp.skew, state0.skew, state1.skew, alpha)\n    lerp(tmp.scale, state0.scale, state1.scale, alpha)\n    lerp(tmp.perspective, state0.perspective, state1.perspective, alpha)\n    slerp(tmp.quaternion, state0.quaternion, state1.quaternion, alpha)\n\n    //and recompose into our 'out' matrix\n    recompose(out, tmp.translate, tmp.scale, tmp.skew, tmp.perspective, tmp.quaternion)\n    return true\n}\n\nfunction state() {\n    return {\n        translate: vec3(),\n        scale: vec3(1),\n        skew: vec3(),\n        perspective: vec4(),\n        quaternion: vec4()\n    }\n}\n\nfunction vec3(n) {\n    return [n||0,n||0,n||0]\n}\n\nfunction vec4() {\n    return [0,0,0,1]\n}\n},{\"gl-mat4/determinant\":250,\"gl-vec3/lerp\":333,\"mat4-decompose\":411,\"mat4-recompose\":414,\"quat-slerp\":466}],414:[function(_dereq_,module,exports){\n/*\nInput:  translation ; a 3 component vector\n        scale       ; a 3 component vector\n        skew        ; skew factors XY,XZ,YZ represented as a 3 component vector\n        perspective ; a 4 component vector\n        quaternion  ; a 4 component vector\nOutput: matrix      ; a 4x4 matrix\n\nFrom: http://www.w3.org/TR/css3-transforms/#recomposing-to-a-3d-matrix\n*/\n\nvar mat4 = {\n    identity: _dereq_('gl-mat4/identity'),\n    translate: _dereq_('gl-mat4/translate'),\n    multiply: _dereq_('gl-mat4/multiply'),\n    create: _dereq_('gl-mat4/create'),\n    scale: _dereq_('gl-mat4/scale'),\n    fromRotationTranslation: _dereq_('gl-mat4/fromRotationTranslation')\n}\n\nvar rotationMatrix = mat4.create()\nvar temp = mat4.create()\n\nmodule.exports = function recomposeMat4(matrix, translation, scale, skew, perspective, quaternion) {\n    mat4.identity(matrix)\n\n    //apply translation & rotation\n    mat4.fromRotationTranslation(matrix, quaternion, translation)\n\n    //apply perspective\n    matrix[3] = perspective[0]\n    matrix[7] = perspective[1]\n    matrix[11] = perspective[2]\n    matrix[15] = perspective[3]\n        \n    // apply skew\n    // temp is a identity 4x4 matrix initially\n    mat4.identity(temp)\n\n    if (skew[2] !== 0) {\n        temp[9] = skew[2]\n        mat4.multiply(matrix, matrix, temp)\n    }\n\n    if (skew[1] !== 0) {\n        temp[9] = 0\n        temp[8] = skew[1]\n        mat4.multiply(matrix, matrix, temp)\n    }\n\n    if (skew[0] !== 0) {\n        temp[8] = 0\n        temp[4] = skew[0]\n        mat4.multiply(matrix, matrix, temp)\n    }\n\n    //apply scale\n    mat4.scale(matrix, matrix, scale)\n    return matrix\n}\n},{\"gl-mat4/create\":249,\"gl-mat4/fromRotationTranslation\":252,\"gl-mat4/identity\":253,\"gl-mat4/multiply\":256,\"gl-mat4/scale\":262,\"gl-mat4/translate\":263}],415:[function(_dereq_,module,exports){\n'use strict';\nmodule.exports = Math.log2 || function (x) {\n\treturn Math.log(x) * Math.LOG2E;\n};\n\n},{}],416:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar bsearch   = _dereq_('binary-search-bounds')\r\nvar m4interp  = _dereq_('mat4-interpolate')\r\nvar invert44  = _dereq_('gl-mat4/invert')\r\nvar rotateX   = _dereq_('gl-mat4/rotateX')\r\nvar rotateY   = _dereq_('gl-mat4/rotateY')\r\nvar rotateZ   = _dereq_('gl-mat4/rotateZ')\r\nvar lookAt    = _dereq_('gl-mat4/lookAt')\r\nvar translate = _dereq_('gl-mat4/translate')\r\nvar scale     = _dereq_('gl-mat4/scale')\r\nvar normalize = _dereq_('gl-vec3/normalize')\r\n\r\nvar DEFAULT_CENTER = [0,0,0]\r\n\r\nmodule.exports = createMatrixCameraController\r\n\r\nfunction MatrixCameraController(initialMatrix) {\r\n  this._components    = initialMatrix.slice()\r\n  this._time          = [0]\r\n  this.prevMatrix     = initialMatrix.slice()\r\n  this.nextMatrix     = initialMatrix.slice()\r\n  this.computedMatrix = initialMatrix.slice()\r\n  this.computedInverse = initialMatrix.slice()\r\n  this.computedEye    = [0,0,0]\r\n  this.computedUp     = [0,0,0]\r\n  this.computedCenter = [0,0,0]\r\n  this.computedRadius = [0]\r\n  this._limits        = [-Infinity, Infinity]\r\n}\r\n\r\nvar proto = MatrixCameraController.prototype\r\n\r\nproto.recalcMatrix = function(t) {\r\n  var time = this._time\r\n  var tidx = bsearch.le(time, t)\r\n  var mat = this.computedMatrix\r\n  if(tidx < 0) {\r\n    return\r\n  }\r\n  var comps = this._components\r\n  if(tidx === time.length-1) {\r\n    var ptr = 16*tidx\r\n    for(var i=0; i<16; ++i) {\r\n      mat[i] = comps[ptr++]\r\n    }\r\n  } else {\r\n    var dt = (time[tidx+1] - time[tidx])\r\n    var ptr = 16*tidx\r\n    var prev = this.prevMatrix\r\n    var allEqual = true\r\n    for(var i=0; i<16; ++i) {\r\n      prev[i] = comps[ptr++]\r\n    }\r\n    var next = this.nextMatrix\r\n    for(var i=0; i<16; ++i) {\r\n      next[i] = comps[ptr++]\r\n      allEqual = allEqual && (prev[i] === next[i])\r\n    }\r\n    if(dt < 1e-6 || allEqual) {\r\n      for(var i=0; i<16; ++i) {\r\n        mat[i] = prev[i]\r\n      }\r\n    } else {\r\n      m4interp(mat, prev, next, (t - time[tidx])/dt)\r\n    }\r\n  }\r\n\r\n  var up = this.computedUp\r\n  up[0] = mat[1]\r\n  up[1] = mat[5]\r\n  up[2] = mat[9]\r\n  normalize(up, up)\r\n\r\n  var imat = this.computedInverse\r\n  invert44(imat, mat)\r\n  var eye = this.computedEye\r\n  var w = imat[15]\r\n  eye[0] = imat[12]/w\r\n  eye[1] = imat[13]/w\r\n  eye[2] = imat[14]/w\r\n\r\n  var center = this.computedCenter\r\n  var radius = Math.exp(this.computedRadius[0])\r\n  for(var i=0; i<3; ++i) {\r\n    center[i] = eye[i] - mat[2+4*i] * radius\r\n  }\r\n}\r\n\r\nproto.idle = function(t) {\r\n  if(t < this.lastT()) {\r\n    return\r\n  }\r\n  var mc = this._components\r\n  var ptr = mc.length-16\r\n  for(var i=0; i<16; ++i) {\r\n    mc.push(mc[ptr++])\r\n  }\r\n  this._time.push(t)\r\n}\r\n\r\nproto.flush = function(t) {\r\n  var idx = bsearch.gt(this._time, t) - 2\r\n  if(idx < 0) {\r\n    return\r\n  }\r\n  this._time.splice(0, idx)\r\n  this._components.splice(0, 16*idx)\r\n}\r\n\r\nproto.lastT = function() {\r\n  return this._time[this._time.length-1]\r\n}\r\n\r\nproto.lookAt = function(t, eye, center, up) {\r\n  this.recalcMatrix(t)\r\n  eye    = eye || this.computedEye\r\n  center = center || DEFAULT_CENTER\r\n  up     = up || this.computedUp\r\n  this.setMatrix(t, lookAt(this.computedMatrix, eye, center, up))\r\n  var d2 = 0.0\r\n  for(var i=0; i<3; ++i) {\r\n    d2 += Math.pow(center[i] - eye[i], 2)\r\n  }\r\n  d2 = Math.log(Math.sqrt(d2))\r\n  this.computedRadius[0] = d2\r\n}\r\n\r\nproto.rotate = function(t, yaw, pitch, roll) {\r\n  this.recalcMatrix(t)\r\n  var mat = this.computedInverse\r\n  if(yaw)   rotateY(mat, mat, yaw)\r\n  if(pitch) rotateX(mat, mat, pitch)\r\n  if(roll)  rotateZ(mat, mat, roll)\r\n  this.setMatrix(t, invert44(this.computedMatrix, mat))\r\n}\r\n\r\nvar tvec = [0,0,0]\r\n\r\nproto.pan = function(t, dx, dy, dz) {\r\n  tvec[0] = -(dx || 0.0)\r\n  tvec[1] = -(dy || 0.0)\r\n  tvec[2] = -(dz || 0.0)\r\n  this.recalcMatrix(t)\r\n  var mat = this.computedInverse\r\n  translate(mat, mat, tvec)\r\n  this.setMatrix(t, invert44(mat, mat))\r\n}\r\n\r\nproto.translate = function(t, dx, dy, dz) {\r\n  tvec[0] = dx || 0.0\r\n  tvec[1] = dy || 0.0\r\n  tvec[2] = dz || 0.0\r\n  this.recalcMatrix(t)\r\n  var mat = this.computedMatrix\r\n  translate(mat, mat, tvec)\r\n  this.setMatrix(t, mat)\r\n}\r\n\r\nproto.setMatrix = function(t, mat) {\r\n  if(t < this.lastT()) {\r\n    return\r\n  }\r\n  this._time.push(t)\r\n  for(var i=0; i<16; ++i) {\r\n    this._components.push(mat[i])\r\n  }\r\n}\r\n\r\nproto.setDistance = function(t, d) {\r\n  this.computedRadius[0] = d\r\n}\r\n\r\nproto.setDistanceLimits = function(a,b) {\r\n  var lim = this._limits\r\n  lim[0] = a\r\n  lim[1] = b\r\n}\r\n\r\nproto.getDistanceLimits = function(out) {\r\n  var lim = this._limits\r\n  if(out) {\r\n    out[0] = lim[0]\r\n    out[1] = lim[1]\r\n    return out\r\n  }\r\n  return lim\r\n}\r\n\r\nfunction createMatrixCameraController(options) {\r\n  options = options || {}\r\n  var matrix = options.matrix || \r\n              [1,0,0,0,\r\n               0,1,0,0,\r\n               0,0,1,0,\r\n               0,0,0,1]\r\n  return new MatrixCameraController(matrix)\r\n}\r\n\n},{\"binary-search-bounds\":79,\"gl-mat4/invert\":254,\"gl-mat4/lookAt\":255,\"gl-mat4/rotateX\":259,\"gl-mat4/rotateY\":260,\"gl-mat4/rotateZ\":261,\"gl-mat4/scale\":262,\"gl-mat4/translate\":263,\"gl-vec3/normalize\":339,\"mat4-interpolate\":413}],417:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = monotoneConvexHull2D\n\nvar orient = _dereq_('robust-orientation')[3]\n\nfunction monotoneConvexHull2D(points) {\n  var n = points.length\n\n  if(n < 3) {\n    var result = new Array(n)\n    for(var i=0; i<n; ++i) {\n      result[i] = i\n    }\n\n    if(n === 2 &&\n       points[0][0] === points[1][0] &&\n       points[0][1] === points[1][1]) {\n      return [0]\n    }\n\n    return result\n  }\n\n  //Sort point indices along x-axis\n  var sorted = new Array(n)\n  for(var i=0; i<n; ++i) {\n    sorted[i] = i\n  }\n  sorted.sort(function(a,b) {\n    var d = points[a][0]-points[b][0]\n    if(d) {\n      return d\n    }\n    return points[a][1] - points[b][1]\n  })\n\n  //Construct upper and lower hulls\n  var lower = [sorted[0], sorted[1]]\n  var upper = [sorted[0], sorted[1]]\n\n  for(var i=2; i<n; ++i) {\n    var idx = sorted[i]\n    var p   = points[idx]\n\n    //Insert into lower list\n    var m = lower.length\n    while(m > 1 && orient(\n        points[lower[m-2]], \n        points[lower[m-1]], \n        p) <= 0) {\n      m -= 1\n      lower.pop()\n    }\n    lower.push(idx)\n\n    //Insert into upper list\n    m = upper.length\n    while(m > 1 && orient(\n        points[upper[m-2]], \n        points[upper[m-1]], \n        p) >= 0) {\n      m -= 1\n      upper.pop()\n    }\n    upper.push(idx)\n  }\n\n  //Merge lists together\n  var result = new Array(upper.length + lower.length - 2)\n  var ptr    = 0\n  for(var i=0, nl=lower.length; i<nl; ++i) {\n    result[ptr++] = lower[i]\n  }\n  for(var j=upper.length-2; j>0; --j) {\n    result[ptr++] = upper[j]\n  }\n\n  //Return result\n  return result\n}\n},{\"robust-orientation\":486}],418:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = mouseListen\n\nvar mouse = _dereq_('mouse-event')\n\nfunction mouseListen (element, callback) {\n  if (!callback) {\n    callback = element\n    element = window\n  }\n\n  var buttonState = 0\n  var x = 0\n  var y = 0\n  var mods = {\n    shift: false,\n    alt: false,\n    control: false,\n    meta: false\n  }\n  var attached = false\n\n  function updateMods (ev) {\n    var changed = false\n    if ('altKey' in ev) {\n      changed = changed || ev.altKey !== mods.alt\n      mods.alt = !!ev.altKey\n    }\n    if ('shiftKey' in ev) {\n      changed = changed || ev.shiftKey !== mods.shift\n      mods.shift = !!ev.shiftKey\n    }\n    if ('ctrlKey' in ev) {\n      changed = changed || ev.ctrlKey !== mods.control\n      mods.control = !!ev.ctrlKey\n    }\n    if ('metaKey' in ev) {\n      changed = changed || ev.metaKey !== mods.meta\n      mods.meta = !!ev.metaKey\n    }\n    return changed\n  }\n\n  function handleEvent (nextButtons, ev) {\n    var nextX = mouse.x(ev)\n    var nextY = mouse.y(ev)\n    if ('buttons' in ev) {\n      nextButtons = ev.buttons | 0\n    }\n    if (nextButtons !== buttonState ||\n      nextX !== x ||\n      nextY !== y ||\n      updateMods(ev)) {\n      buttonState = nextButtons | 0\n      x = nextX || 0\n      y = nextY || 0\n      callback && callback(buttonState, x, y, mods)\n    }\n  }\n\n  function clearState (ev) {\n    handleEvent(0, ev)\n  }\n\n  function handleBlur () {\n    if (buttonState ||\n      x ||\n      y ||\n      mods.shift ||\n      mods.alt ||\n      mods.meta ||\n      mods.control) {\n      x = y = 0\n      buttonState = 0\n      mods.shift = mods.alt = mods.control = mods.meta = false\n      callback && callback(0, 0, 0, mods)\n    }\n  }\n\n  function handleMods (ev) {\n    if (updateMods(ev)) {\n      callback && callback(buttonState, x, y, mods)\n    }\n  }\n\n  function handleMouseMove (ev) {\n    if (mouse.buttons(ev) === 0) {\n      handleEvent(0, ev)\n    } else {\n      handleEvent(buttonState, ev)\n    }\n  }\n\n  function handleMouseDown (ev) {\n    handleEvent(buttonState | mouse.buttons(ev), ev)\n  }\n\n  function handleMouseUp (ev) {\n    handleEvent(buttonState & ~mouse.buttons(ev), ev)\n  }\n\n  function attachListeners () {\n    if (attached) {\n      return\n    }\n    attached = true\n\n    element.addEventListener('mousemove', handleMouseMove)\n\n    element.addEventListener('mousedown', handleMouseDown)\n\n    element.addEventListener('mouseup', handleMouseUp)\n\n    element.addEventListener('mouseleave', clearState)\n    element.addEventListener('mouseenter', clearState)\n    element.addEventListener('mouseout', clearState)\n    element.addEventListener('mouseover', clearState)\n\n    element.addEventListener('blur', handleBlur)\n\n    element.addEventListener('keyup', handleMods)\n    element.addEventListener('keydown', handleMods)\n    element.addEventListener('keypress', handleMods)\n\n    if (element !== window) {\n      window.addEventListener('blur', handleBlur)\n\n      window.addEventListener('keyup', handleMods)\n      window.addEventListener('keydown', handleMods)\n      window.addEventListener('keypress', handleMods)\n    }\n  }\n\n  function detachListeners () {\n    if (!attached) {\n      return\n    }\n    attached = false\n\n    element.removeEventListener('mousemove', handleMouseMove)\n\n    element.removeEventListener('mousedown', handleMouseDown)\n\n    element.removeEventListener('mouseup', handleMouseUp)\n\n    element.removeEventListener('mouseleave', clearState)\n    element.removeEventListener('mouseenter', clearState)\n    element.removeEventListener('mouseout', clearState)\n    element.removeEventListener('mouseover', clearState)\n\n    element.removeEventListener('blur', handleBlur)\n\n    element.removeEventListener('keyup', handleMods)\n    element.removeEventListener('keydown', handleMods)\n    element.removeEventListener('keypress', handleMods)\n\n    if (element !== window) {\n      window.removeEventListener('blur', handleBlur)\n\n      window.removeEventListener('keyup', handleMods)\n      window.removeEventListener('keydown', handleMods)\n      window.removeEventListener('keypress', handleMods)\n    }\n  }\n\n  // Attach listeners\n  attachListeners()\n\n  var result = {\n    element: element\n  }\n\n  Object.defineProperties(result, {\n    enabled: {\n      get: function () { return attached },\n      set: function (f) {\n        if (f) {\n          attachListeners()\n        } else {\n          detachListeners()\n        }\n      },\n      enumerable: true\n    },\n    buttons: {\n      get: function () { return buttonState },\n      enumerable: true\n    },\n    x: {\n      get: function () { return x },\n      enumerable: true\n    },\n    y: {\n      get: function () { return y },\n      enumerable: true\n    },\n    mods: {\n      get: function () { return mods },\n      enumerable: true\n    }\n  })\n\n  return result\n}\n\n},{\"mouse-event\":420}],419:[function(_dereq_,module,exports){\nvar rootPosition = { left: 0, top: 0 }\n\nmodule.exports = mouseEventOffset\nfunction mouseEventOffset (ev, target, out) {\n  target = target || ev.currentTarget || ev.srcElement\n  if (!Array.isArray(out)) {\n    out = [ 0, 0 ]\n  }\n  var cx = ev.clientX || 0\n  var cy = ev.clientY || 0\n  var rect = getBoundingClientOffset(target)\n  out[0] = cx - rect.left\n  out[1] = cy - rect.top\n  return out\n}\n\nfunction getBoundingClientOffset (element) {\n  if (element === window ||\n      element === document ||\n      element === document.body) {\n    return rootPosition\n  } else {\n    return element.getBoundingClientRect()\n  }\n}\n\n},{}],420:[function(_dereq_,module,exports){\n'use strict'\n\nfunction mouseButtons(ev) {\n  if(typeof ev === 'object') {\n    if('buttons' in ev) {\n      return ev.buttons\n    } else if('which' in ev) {\n      var b = ev.which\n      if(b === 2) {\n        return 4\n      } else if(b === 3) {\n        return 2\n      } else if(b > 0) {\n        return 1<<(b-1)\n      }\n    } else if('button' in ev) {\n      var b = ev.button\n      if(b === 1) {\n        return 4\n      } else if(b === 2) {\n        return 2\n      } else if(b >= 0) {\n        return 1<<b\n      }\n    }\n  }\n  return 0\n}\nexports.buttons = mouseButtons\n\nfunction mouseElement(ev) {\n  return ev.target || ev.srcElement || window\n}\nexports.element = mouseElement\n\nfunction mouseRelativeX(ev) {\n  if(typeof ev === 'object') {\n    if('offsetX' in ev) {\n      return ev.offsetX\n    }\n    var target = mouseElement(ev)\n    var bounds = target.getBoundingClientRect()\n    return ev.clientX - bounds.left\n  }\n  return 0\n}\nexports.x = mouseRelativeX\n\nfunction mouseRelativeY(ev) {\n  if(typeof ev === 'object') {\n    if('offsetY' in ev) {\n      return ev.offsetY\n    }\n    var target = mouseElement(ev)\n    var bounds = target.getBoundingClientRect()\n    return ev.clientY - bounds.top\n  }\n  return 0\n}\nexports.y = mouseRelativeY\n\n},{}],421:[function(_dereq_,module,exports){\n'use strict'\n\nvar toPX = _dereq_('to-px')\n\nmodule.exports = mouseWheelListen\n\nfunction mouseWheelListen(element, callback, noScroll) {\n  if(typeof element === 'function') {\n    noScroll = !!callback\n    callback = element\n    element = window\n  }\n  var lineHeight = toPX('ex', element)\n  var listener = function(ev) {\n    if(noScroll) {\n      ev.preventDefault()\n    }\n    var dx = ev.deltaX || 0\n    var dy = ev.deltaY || 0\n    var dz = ev.deltaZ || 0\n    var mode = ev.deltaMode\n    var scale = 1\n    switch(mode) {\n      case 1:\n        scale = lineHeight\n      break\n      case 2:\n        scale = window.innerHeight\n      break\n    }\n    dx *= scale\n    dy *= scale\n    dz *= scale\n    if(dx || dy || dz) {\n      return callback(dx, dy, dz, ev)\n    }\n  }\n  element.addEventListener('wheel', listener)\n  return listener\n}\n\n},{\"to-px\":516}],422:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar pool = _dereq_(\"typedarray-pool\")\n\nmodule.exports = createSurfaceExtractor\n\n//Helper macros\nfunction array(i) {\n  return \"a\" + i\n}\nfunction data(i) {\n  return \"d\" + i\n}\nfunction cube(i,bitmask) {\n  return \"c\" + i + \"_\" + bitmask\n}\nfunction shape(i) {\n  return \"s\" + i\n}\nfunction stride(i,j) {\n  return \"t\" + i + \"_\" + j\n}\nfunction offset(i) {\n  return \"o\" + i\n}\nfunction scalar(i) {\n  return \"x\" + i\n}\nfunction pointer(i) {\n  return \"p\" + i\n}\nfunction delta(i,bitmask) {\n  return \"d\" + i + \"_\" + bitmask\n}\nfunction index(i) {\n  return \"i\" + i\n}\nfunction step(i,j) {\n  return \"u\" + i + \"_\" + j\n}\nfunction pcube(bitmask) {\n  return \"b\" + bitmask\n}\nfunction qcube(bitmask) {\n  return \"y\" + bitmask\n}\nfunction pdelta(bitmask) {\n  return \"e\" + bitmask\n}\nfunction vert(i) {\n  return \"v\" + i\n}\nvar VERTEX_IDS = \"V\"\nvar PHASES = \"P\"\nvar VERTEX_COUNT = \"N\"\nvar POOL_SIZE = \"Q\"\nvar POINTER = \"X\"\nvar TEMPORARY = \"T\"\n\nfunction permBitmask(dimension, mask, order) {\n  var r = 0\n  for(var i=0; i<dimension; ++i) {\n    if(mask & (1<<i)) {\n      r |= (1<<order[i])\n    }\n  }\n  return r\n}\n\n//Generates the surface procedure\nfunction compileSurfaceProcedure(vertexFunc, faceFunc, phaseFunc, scalarArgs, order, typesig) {\n  var arrayArgs = typesig.length\n  var dimension = order.length\n\n  if(dimension < 2) {\n    throw new Error(\"ndarray-extract-contour: Dimension must be at least 2\")\n  }\n\n  var funcName = \"extractContour\" + order.join(\"_\")\n  var code = []\n  var vars = []\n  var args = []\n\n  //Assemble arguments\n  for(var i=0; i<arrayArgs; ++i) {\n    args.push(array(i))  \n  }\n  for(var i=0; i<scalarArgs; ++i) {\n    args.push(scalar(i))\n  }\n\n  //Shape\n  for(var i=0; i<dimension; ++i) {\n    vars.push(shape(i) + \"=\" + array(0) + \".shape[\" + i + \"]|0\")\n  }\n  //Data, stride, offset pointers\n  for(var i=0; i<arrayArgs; ++i) {\n    vars.push(data(i) + \"=\" + array(i) + \".data\",\n              offset(i) + \"=\" + array(i) + \".offset|0\")\n    for(var j=0; j<dimension; ++j) {\n      vars.push(stride(i,j) + \"=\" + array(i) + \".stride[\" + j + \"]|0\")\n    }\n  }\n  //Pointer, delta and cube variables\n  for(var i=0; i<arrayArgs; ++i) {\n    vars.push(pointer(i) + \"=\" + offset(i))\n    vars.push(cube(i,0))\n    for(var j=1; j<(1<<dimension); ++j) {\n      var ptrStr = []\n      for(var k=0; k<dimension; ++k) {\n        if(j & (1<<k)) {\n          ptrStr.push(\"-\" + stride(i,k))\n        }\n      }\n      vars.push(delta(i,j) + \"=(\" + ptrStr.join(\"\") + \")|0\")\n      vars.push(cube(i,j) + \"=0\")\n    }\n  }\n  //Create step variables\n  for(var i=0; i<arrayArgs; ++i) {\n    for(var j=0; j<dimension; ++j) {\n      var stepVal = [ stride(i,order[j]) ]\n      if(j > 0) {\n        stepVal.push(stride(i, order[j-1]) + \"*\" + shape(order[j-1]) )\n      }\n      vars.push(step(i,order[j]) + \"=(\" + stepVal.join(\"-\") + \")|0\")\n    }\n  }\n  //Create index variables\n  for(var i=0; i<dimension; ++i) {\n    vars.push(index(i) + \"=0\")\n  }\n  //Vertex count\n  vars.push(VERTEX_COUNT + \"=0\")\n  //Compute pool size, initialize pool step\n  var sizeVariable = [\"2\"]\n  for(var i=dimension-2; i>=0; --i) {\n    sizeVariable.push(shape(order[i]))\n  }\n  //Previous phases and vertex_ids\n  vars.push(POOL_SIZE + \"=(\" + sizeVariable.join(\"*\") + \")|0\",\n            PHASES + \"=mallocUint32(\" + POOL_SIZE + \")\",\n            VERTEX_IDS + \"=mallocUint32(\" + POOL_SIZE + \")\",\n            POINTER + \"=0\")\n  //Create cube variables for phases\n  vars.push(pcube(0) + \"=0\")\n  for(var j=1; j<(1<<dimension); ++j) {\n    var cubeDelta = []\n    var cubeStep = [ ]\n    for(var k=0; k<dimension; ++k) {\n      if(j & (1<<k)) {\n        if(cubeStep.length === 0) {\n          cubeDelta.push(\"1\")\n        } else {\n          cubeDelta.unshift(cubeStep.join(\"*\"))\n        }\n      }\n      cubeStep.push(shape(order[k]))\n    }\n    var signFlag = \"\"\n    if(cubeDelta[0].indexOf(shape(order[dimension-2])) < 0) {\n      signFlag = \"-\"\n    }\n    var jperm = permBitmask(dimension, j, order)\n    vars.push(pdelta(jperm) + \"=(-\" + cubeDelta.join(\"-\") + \")|0\",\n              qcube(jperm) + \"=(\" + signFlag + cubeDelta.join(\"-\") + \")|0\",\n              pcube(jperm) + \"=0\")\n  }\n  vars.push(vert(0) + \"=0\", TEMPORARY + \"=0\")\n\n  function forLoopBegin(i, start) {\n    code.push(\"for(\", index(order[i]), \"=\", start, \";\",\n      index(order[i]), \"<\", shape(order[i]), \";\",\n      \"++\", index(order[i]), \"){\")\n  }\n\n  function forLoopEnd(i) {\n    for(var j=0; j<arrayArgs; ++j) {\n      code.push(pointer(j), \"+=\", step(j,order[i]), \";\")\n    }\n    code.push(\"}\")\n  }\n\n  function fillEmptySlice(k) {\n    for(var i=k-1; i>=0; --i) {\n      forLoopBegin(i, 0) \n    }\n    var phaseFuncArgs = []\n    for(var i=0; i<arrayArgs; ++i) {\n      if(typesig[i]) {\n        phaseFuncArgs.push(data(i) + \".get(\" + pointer(i) + \")\")\n      } else {\n        phaseFuncArgs.push(data(i) + \"[\" + pointer(i) + \"]\")\n      }\n    }\n    for(var i=0; i<scalarArgs; ++i) {\n      phaseFuncArgs.push(scalar(i))\n    }\n    code.push(PHASES, \"[\", POINTER, \"++]=phase(\", phaseFuncArgs.join(), \");\")\n    for(var i=0; i<k; ++i) {\n      forLoopEnd(i)\n    }\n    for(var j=0; j<arrayArgs; ++j) {\n      code.push(pointer(j), \"+=\", step(j,order[k]), \";\")\n    }\n  }\n\n  function processGridCell(mask) {\n    //Read in local data\n    for(var i=0; i<arrayArgs; ++i) {\n      if(typesig[i]) {\n        code.push(cube(i,0), \"=\", data(i), \".get(\", pointer(i), \");\")\n      } else {\n        code.push(cube(i,0), \"=\", data(i), \"[\", pointer(i), \"];\")\n      }\n    }\n\n    //Read in phase\n    var phaseFuncArgs = []\n    for(var i=0; i<arrayArgs; ++i) {\n      phaseFuncArgs.push(cube(i,0))\n    }\n    for(var i=0; i<scalarArgs; ++i) {\n      phaseFuncArgs.push(scalar(i))\n    }\n    \n    code.push(pcube(0), \"=\", PHASES, \"[\", POINTER, \"]=phase(\", phaseFuncArgs.join(), \");\")\n    \n    //Read in other cube data\n    for(var j=1; j<(1<<dimension); ++j) {\n      code.push(pcube(j), \"=\", PHASES, \"[\", POINTER, \"+\", pdelta(j), \"];\")\n    }\n\n    //Check for boundary crossing\n    var vertexPredicate = []\n    for(var j=1; j<(1<<dimension); ++j) {\n      vertexPredicate.push(\"(\" + pcube(0) + \"!==\" + pcube(j) + \")\")\n    }\n    code.push(\"if(\", vertexPredicate.join(\"||\"), \"){\")\n\n    //Read in boundary data\n    var vertexArgs = []\n    for(var i=0; i<dimension; ++i) {\n      vertexArgs.push(index(i))\n    }\n    for(var i=0; i<arrayArgs; ++i) {\n      vertexArgs.push(cube(i,0))\n      for(var j=1; j<(1<<dimension); ++j) {\n        if(typesig[i]) {\n          code.push(cube(i,j), \"=\", data(i), \".get(\", pointer(i), \"+\", delta(i,j), \");\")\n        } else {\n          code.push(cube(i,j), \"=\", data(i), \"[\", pointer(i), \"+\", delta(i,j), \"];\")\n        }\n        vertexArgs.push(cube(i,j))\n      }\n    }\n    for(var i=0; i<(1<<dimension); ++i) {\n      vertexArgs.push(pcube(i))\n    }\n    for(var i=0; i<scalarArgs; ++i) {\n      vertexArgs.push(scalar(i))\n    }\n\n    //Generate vertex\n    code.push(\"vertex(\", vertexArgs.join(), \");\",\n      vert(0), \"=\", VERTEX_IDS, \"[\", POINTER, \"]=\", VERTEX_COUNT, \"++;\")\n\n    //Check for face crossings\n    var base = (1<<dimension)-1\n    var corner = pcube(base)\n    for(var j=0; j<dimension; ++j) {\n      if((mask & ~(1<<j))===0) {\n        //Check face\n        var subset = base^(1<<j)\n        var edge = pcube(subset)\n        var faceArgs = [ ]\n        for(var k=subset; k>0; k=(k-1)&subset) {\n          faceArgs.push(VERTEX_IDS + \"[\" + POINTER + \"+\" + pdelta(k) + \"]\")\n        }\n        faceArgs.push(vert(0))\n        for(var k=0; k<arrayArgs; ++k) {\n          if(j&1) {\n            faceArgs.push(cube(k,base), cube(k,subset))\n          } else {\n            faceArgs.push(cube(k,subset), cube(k,base))\n          }\n        }\n        if(j&1) {\n          faceArgs.push(corner, edge)\n        } else {\n          faceArgs.push(edge, corner)\n        }\n        for(var k=0; k<scalarArgs; ++k) {\n          faceArgs.push(scalar(k))\n        }\n        code.push(\"if(\", corner, \"!==\", edge, \"){\",\n          \"face(\", faceArgs.join(), \")}\")\n      }\n    }\n    \n    //Increment pointer, close off if statement\n    code.push(\"}\",\n      POINTER, \"+=1;\")\n  }\n\n  function flip() {\n    for(var j=1; j<(1<<dimension); ++j) {\n      code.push(TEMPORARY, \"=\", pdelta(j), \";\",\n                pdelta(j), \"=\", qcube(j), \";\",\n                qcube(j), \"=\", TEMPORARY, \";\")\n    }\n  }\n\n  function createLoop(i, mask) {\n    if(i < 0) {\n      processGridCell(mask)\n      return\n    }\n    fillEmptySlice(i)\n    code.push(\"if(\", shape(order[i]), \">0){\",\n      index(order[i]), \"=1;\")\n    createLoop(i-1, mask|(1<<order[i]))\n\n    for(var j=0; j<arrayArgs; ++j) {\n      code.push(pointer(j), \"+=\", step(j,order[i]), \";\")\n    }\n    if(i === dimension-1) {\n      code.push(POINTER, \"=0;\")\n      flip()\n    }\n    forLoopBegin(i, 2)\n    createLoop(i-1, mask)\n    if(i === dimension-1) {\n      code.push(\"if(\", index(order[dimension-1]), \"&1){\",\n        POINTER, \"=0;}\")\n      flip()\n    }\n    forLoopEnd(i)\n    code.push(\"}\")\n  }\n\n  createLoop(dimension-1, 0)\n\n  //Release scratch memory\n  code.push(\"freeUint32(\", VERTEX_IDS, \");freeUint32(\", PHASES, \");\")\n\n  //Compile and link procedure\n  var procedureCode = [\n    \"'use strict';\",\n    \"function \", funcName, \"(\", args.join(), \"){\",\n      \"var \", vars.join(), \";\",\n      code.join(\"\"),\n    \"}\",\n    \"return \", funcName ].join(\"\")\n\n  var proc = new Function(\n    \"vertex\", \n    \"face\", \n    \"phase\", \n    \"mallocUint32\", \n    \"freeUint32\",\n    procedureCode)\n  return proc(\n    vertexFunc, \n    faceFunc, \n    phaseFunc, \n    pool.mallocUint32, \n    pool.freeUint32)\n}\n\nfunction createSurfaceExtractor(args) {\n  function error(msg) {\n    throw new Error(\"ndarray-extract-contour: \" + msg)\n  }\n  if(typeof args !== \"object\") {\n    error(\"Must specify arguments\")\n  }\n  var order = args.order\n  if(!Array.isArray(order)) {\n    error(\"Must specify order\")\n  }\n  var arrays = args.arrayArguments||1\n  if(arrays < 1) {\n    error(\"Must have at least one array argument\")\n  }\n  var scalars = args.scalarArguments||0\n  if(scalars < 0) {\n    error(\"Scalar arg count must be > 0\")\n  }\n  if(typeof args.vertex !== \"function\") {\n    error(\"Must specify vertex creation function\")\n  }\n  if(typeof args.cell !== \"function\") {\n    error(\"Must specify cell creation function\")\n  }\n  if(typeof args.phase !== \"function\") {\n    error(\"Must specify phase function\")\n  }\n  var getters = args.getters || []\n  var typesig = new Array(arrays)\n  for(var i=0; i<arrays; ++i) {\n    if(getters.indexOf(i) >= 0) {\n      typesig[i] = true\n    } else {\n      typesig[i] = false\n    }\n  }\n  return compileSurfaceProcedure(\n    args.vertex,\n    args.cell,\n    args.phase,\n    scalars,\n    order,\n    typesig)\n}\n},{\"typedarray-pool\":522}],423:[function(_dereq_,module,exports){\n\"use strict\"\n\n\n\nvar fill = _dereq_('cwise/lib/wrapper')({\"args\":[\"index\",\"array\",\"scalar\"],\"pre\":{\"body\":\"{}\",\"args\":[],\"thisVars\":[],\"localVars\":[]},\"body\":{\"body\":\"{_inline_1_arg1_=_inline_1_arg2_.apply(void 0,_inline_1_arg0_)}\",\"args\":[{\"name\":\"_inline_1_arg0_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_1_arg1_\",\"lvalue\":true,\"rvalue\":false,\"count\":1},{\"name\":\"_inline_1_arg2_\",\"lvalue\":false,\"rvalue\":true,\"count\":1}],\"thisVars\":[],\"localVars\":[]},\"post\":{\"body\":\"{}\",\"args\":[],\"thisVars\":[],\"localVars\":[]},\"debug\":false,\"funcName\":\"cwise\",\"blockSize\":64})\n\nmodule.exports = function(array, f) {\n  fill(array, f)\n  return array\n}\n\n},{\"cwise/lib/wrapper\":137}],424:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports      = gradient\n\nvar dup             = _dereq_('dup')\nvar cwiseCompiler   = _dereq_('cwise-compiler')\n\nvar TEMPLATE_CACHE  = {}\nvar GRADIENT_CACHE  = {}\n\nvar EmptyProc = {\n  body: \"\",\n  args: [],\n  thisVars: [],\n  localVars: []\n}\n\nvar centralDiff = cwiseCompiler({\n  args: [ 'array', 'array', 'array' ],\n  pre: EmptyProc,\n  post: EmptyProc,\n  body: {\n    args: [ {\n      name: 'out', \n      lvalue: true,\n      rvalue: false,\n      count: 1\n    }, {\n      name: 'left', \n      lvalue: false,\n      rvalue: true,\n      count: 1\n    }, {\n      name: 'right', \n      lvalue: false,\n      rvalue: true,\n      count: 1\n    }],\n    body: \"out=0.5*(left-right)\",\n    thisVars: [],\n    localVars: []\n  },\n  funcName: 'cdiff'\n})\n\nvar zeroOut = cwiseCompiler({\n  args: [ 'array' ],\n  pre: EmptyProc,\n  post: EmptyProc,\n  body: {\n    args: [ {\n      name: 'out', \n      lvalue: true,\n      rvalue: false,\n      count: 1\n    }],\n    body: \"out=0\",\n    thisVars: [],\n    localVars: []\n  },\n  funcName: 'zero'\n})\n\nfunction generateTemplate(d) {\n  if(d in TEMPLATE_CACHE) {\n    return TEMPLATE_CACHE[d]\n  }\n  var code = []\n  for(var i=0; i<d; ++i) {\n    code.push('out', i, 's=0.5*(inp', i, 'l-inp', i, 'r);')\n  }\n  var args = [ 'array' ]\n  var names = ['junk']\n  for(var i=0; i<d; ++i) {\n    args.push('array')\n    names.push('out' + i + 's')\n    var o = dup(d)\n    o[i] = -1\n    args.push({\n      array: 0,\n      offset: o.slice()\n    })\n    o[i] = 1\n    args.push({\n      array: 0,\n      offset: o.slice()\n    })\n    names.push('inp' + i + 'l', 'inp' + i + 'r')\n  }\n  return TEMPLATE_CACHE[d] = cwiseCompiler({\n    args: args,\n    pre:  EmptyProc,\n    post: EmptyProc,\n    body: {\n      body: code.join(''),\n      args: names.map(function(n) {\n        return {\n          name: n,\n          lvalue: n.indexOf('out') === 0,\n          rvalue: n.indexOf('inp') === 0,\n          count: (n!=='junk')|0\n        }\n      }),\n      thisVars: [],\n      localVars: []\n    },\n    funcName: 'fdTemplate' + d\n  })\n}\n\nfunction generateGradient(boundaryConditions) {\n  var token = boundaryConditions.join()\n  var proc = GRADIENT_CACHE[token]\n  if(proc) {\n    return proc\n  }\n\n  var d = boundaryConditions.length\n  var code = ['function gradient(dst,src){var s=src.shape.slice();' ]\n  \n  function handleBoundary(facet) {\n    var cod = d - facet.length\n\n    var loStr = []\n    var hiStr = []\n    var pickStr = []\n    for(var i=0; i<d; ++i) {\n      if(facet.indexOf(i+1) >= 0) {\n        pickStr.push('0')\n      } else if(facet.indexOf(-(i+1)) >= 0) {\n        pickStr.push('s['+i+']-1')\n      } else {\n        pickStr.push('-1')\n        loStr.push('1')\n        hiStr.push('s['+i+']-2')\n      }\n    }\n    var boundStr = '.lo(' + loStr.join() + ').hi(' + hiStr.join() + ')'\n    if(loStr.length === 0) {\n      boundStr = ''\n    }\n        \n    if(cod > 0) {\n      code.push('if(1') \n      for(var i=0; i<d; ++i) {\n        if(facet.indexOf(i+1) >= 0 || facet.indexOf(-(i+1)) >= 0) {\n          continue\n        }\n        code.push('&&s[', i, ']>2')\n      }\n      code.push('){grad', cod, '(src.pick(', pickStr.join(), ')', boundStr)\n      for(var i=0; i<d; ++i) {\n        if(facet.indexOf(i+1) >= 0 || facet.indexOf(-(i+1)) >= 0) {\n          continue\n        }\n        code.push(',dst.pick(', pickStr.join(), ',', i, ')', boundStr)\n      }\n      code.push(');')\n    }\n\n    for(var i=0; i<facet.length; ++i) {\n      var bnd = Math.abs(facet[i])-1\n      var outStr = 'dst.pick(' + pickStr.join() + ',' + bnd + ')' + boundStr\n      switch(boundaryConditions[bnd]) {\n\n        case 'clamp':\n          var cPickStr = pickStr.slice()\n          var dPickStr = pickStr.slice()\n          if(facet[i] < 0) {\n            cPickStr[bnd] = 's[' + bnd + ']-2'\n          } else {\n            dPickStr[bnd] = '1'\n          }\n          if(cod === 0) {\n            code.push('if(s[', bnd, ']>1){dst.set(',\n              pickStr.join(), ',', bnd, ',0.5*(src.get(',\n                cPickStr.join(), ')-src.get(',\n                dPickStr.join(), ')))}else{dst.set(',\n              pickStr.join(), ',', bnd, ',0)};')\n          } else {\n            code.push('if(s[', bnd, ']>1){diff(', outStr, \n                ',src.pick(', cPickStr.join(), ')', boundStr, \n                ',src.pick(', dPickStr.join(), ')', boundStr, \n                ');}else{zero(', outStr, ');};')\n          }\n        break\n\n        case 'mirror':\n          if(cod === 0) {\n            code.push('dst.set(', pickStr.join(), ',', bnd, ',0);')\n          } else {\n            code.push('zero(', outStr, ');')\n          }\n        break\n\n        case 'wrap':\n          var aPickStr = pickStr.slice()\n          var bPickStr = pickStr.slice()\n          if(facet[i] < 0) {\n            aPickStr[bnd] = 's[' + bnd + ']-2'\n            bPickStr[bnd] = '0'\n            \n          } else {\n            aPickStr[bnd] = 's[' + bnd + ']-1'\n            bPickStr[bnd] = '1'\n          }\n          if(cod === 0) {\n            code.push('if(s[', bnd, ']>2){dst.set(',\n              pickStr.join(), ',', bnd, ',0.5*(src.get(',\n                aPickStr.join(), ')-src.get(',\n                bPickStr.join(), ')))}else{dst.set(',\n              pickStr.join(), ',', bnd, ',0)};')\n          } else {\n            code.push('if(s[', bnd, ']>2){diff(', outStr, \n                ',src.pick(', aPickStr.join(), ')', boundStr, \n                ',src.pick(', bPickStr.join(), ')', boundStr, \n                ');}else{zero(', outStr, ');};')\n          }\n        break\n\n        default:\n          throw new Error('ndarray-gradient: Invalid boundary condition')\n      }\n    }\n\n    if(cod > 0) {\n      code.push('};')\n    }\n  }\n\n  //Enumerate ridges, facets, etc. of hypercube\n  for(var i=0; i<(1<<d); ++i) {\n    var faces = []\n    for(var j=0; j<d; ++j) {\n      if(i & (1<<j)) {\n        faces.push(j+1)\n      }\n    }\n    for(var k=0; k<(1<<faces.length); ++k) {\n      var sfaces = faces.slice()\n      for(var j=0; j<faces.length; ++j) {\n        if(k & (1<<j)) {\n          sfaces[j] = -sfaces[j]\n        }\n      }\n      handleBoundary(sfaces)\n    }\n  }\n\n  code.push('return dst;};return gradient')\n\n  //Compile and link routine, save cached procedure\n  var linkNames = [ 'diff', 'zero' ]\n  var linkArgs  = [ centralDiff, zeroOut ]\n  for(var i=1; i<=d; ++i) {\n    linkNames.push('grad' + i)\n    linkArgs.push(generateTemplate(i))\n  }\n  linkNames.push(code.join(''))\n\n  var link = Function.apply(void 0, linkNames)\n  var proc = link.apply(void 0, linkArgs)\n  TEMPLATE_CACHE[token] = proc\n  return proc\n}\n\nfunction gradient(out, inp, bc) {\n  if(Array.isArray(bc)) {\n    if(bc.length !== inp.dimension) {\n      throw new Error('ndarray-gradient: invalid boundary conditions')\n    }\n  } else if(typeof bc === 'string') {\n    bc = dup(inp.dimension, bc)\n  } else {\n    bc = dup(inp.dimension, 'clamp')\n  }\n  if(out.dimension !== inp.dimension + 1) {\n    throw new Error('ndarray-gradient: output dimension must be +1 input dimension')\n  }\n  if(out.shape[inp.dimension] !== inp.dimension) {\n    throw new Error('ndarray-gradient: output shape must match input shape')\n  }\n  for(var i=0; i<inp.dimension; ++i) {\n    if(out.shape[i] !== inp.shape[i]) {\n      throw new Error('ndarray-gradient: shape mismatch')\n    }\n  }\n  if(inp.size === 0) {\n    return out\n  }\n  if(inp.dimension <= 0) {\n    out.set(0)\n    return out\n  }\n  var cached = generateGradient(bc)\n  return cached(out, inp)\n}\n},{\"cwise-compiler\":134,\"dup\":155}],425:[function(_dereq_,module,exports){\n'use strict'\n\nvar warp = _dereq_('ndarray-warp')\nvar invert = _dereq_('gl-matrix-invert')\n\nmodule.exports = applyHomography\n\nfunction applyHomography(dest, src, Xi) {\n  var n = src.dimension\n  var X = invert([], Xi)\n  warp(dest, src, function(out_c, inp_c) {\n    for(var i=0; i<n; ++i) {\n      out_c[i] = X[(n+1)*n + i]\n      for(var j=0; j<n; ++j) {\n        out_c[i] += X[(n+1)*j+i] * inp_c[j]\n      }\n    }\n    var w = X[(n+1)*(n+1)-1]\n    for(var j=0; j<n; ++j) {\n      w += X[(n+1)*j+n] * inp_c[j]\n    }\n    var wr = 1.0 / w\n    for(var i=0; i<n; ++i) {\n      out_c[i] *= wr\n    }\n    return out_c\n  })\n  return dest\n}\n},{\"gl-matrix-invert\":265,\"ndarray-warp\":432}],426:[function(_dereq_,module,exports){\n\"use strict\"\n\nfunction interp1d(arr, x) {\n  var ix = Math.floor(x)\n    , fx = x - ix\n    , s0 = 0 <= ix   && ix   < arr.shape[0]\n    , s1 = 0 <= ix+1 && ix+1 < arr.shape[0]\n    , w0 = s0 ? +arr.get(ix)   : 0.0\n    , w1 = s1 ? +arr.get(ix+1) : 0.0\n  return (1.0-fx)*w0 + fx*w1\n}\n\nfunction interp2d(arr, x, y) {\n  var ix = Math.floor(x)\n    , fx = x - ix\n    , s0 = 0 <= ix   && ix   < arr.shape[0]\n    , s1 = 0 <= ix+1 && ix+1 < arr.shape[0]\n    , iy = Math.floor(y)\n    , fy = y - iy\n    , t0 = 0 <= iy   && iy   < arr.shape[1]\n    , t1 = 0 <= iy+1 && iy+1 < arr.shape[1]\n    , w00 = s0&&t0 ? arr.get(ix  ,iy  ) : 0.0\n    , w01 = s0&&t1 ? arr.get(ix  ,iy+1) : 0.0\n    , w10 = s1&&t0 ? arr.get(ix+1,iy  ) : 0.0\n    , w11 = s1&&t1 ? arr.get(ix+1,iy+1) : 0.0\n  return (1.0-fy) * ((1.0-fx)*w00 + fx*w10) + fy * ((1.0-fx)*w01 + fx*w11)\n}\n\nfunction interp3d(arr, x, y, z) {\n  var ix = Math.floor(x)\n    , fx = x - ix\n    , s0 = 0 <= ix   && ix   < arr.shape[0]\n    , s1 = 0 <= ix+1 && ix+1 < arr.shape[0]\n    , iy = Math.floor(y)\n    , fy = y - iy\n    , t0 = 0 <= iy   && iy   < arr.shape[1]\n    , t1 = 0 <= iy+1 && iy+1 < arr.shape[1]\n    , iz = Math.floor(z)\n    , fz = z - iz\n    , u0 = 0 <= iz   && iz   < arr.shape[2]\n    , u1 = 0 <= iz+1 && iz+1 < arr.shape[2]\n    , w000 = s0&&t0&&u0 ? arr.get(ix,iy,iz)       : 0.0\n    , w010 = s0&&t1&&u0 ? arr.get(ix,iy+1,iz)     : 0.0\n    , w100 = s1&&t0&&u0 ? arr.get(ix+1,iy,iz)     : 0.0\n    , w110 = s1&&t1&&u0 ? arr.get(ix+1,iy+1,iz)   : 0.0\n    , w001 = s0&&t0&&u1 ? arr.get(ix,iy,iz+1)     : 0.0\n    , w011 = s0&&t1&&u1 ? arr.get(ix,iy+1,iz+1)   : 0.0\n    , w101 = s1&&t0&&u1 ? arr.get(ix+1,iy,iz+1)   : 0.0\n    , w111 = s1&&t1&&u1 ? arr.get(ix+1,iy+1,iz+1) : 0.0\n  return (1.0-fz) * ((1.0-fy) * ((1.0-fx)*w000 + fx*w100) + fy * ((1.0-fx)*w010 + fx*w110)) + fz * ((1.0-fy) * ((1.0-fx)*w001 + fx*w101) + fy * ((1.0-fx)*w011 + fx*w111))\n}\n\nfunction interpNd(arr) {\n  var d = arr.shape.length|0\n    , ix = new Array(d)\n    , fx = new Array(d)\n    , s0 = new Array(d)\n    , s1 = new Array(d)\n    , i, t\n  for(i=0; i<d; ++i) {\n    t = +arguments[i+1]\n    ix[i] = Math.floor(t)\n    fx[i] = t - ix[i]\n    s0[i] = (0 <= ix[i]   && ix[i]   < arr.shape[i])\n    s1[i] = (0 <= ix[i]+1 && ix[i]+1 < arr.shape[i])\n  }\n  var r = 0.0, j, w, idx\ni_loop:\n  for(i=0; i<(1<<d); ++i) {\n    w = 1.0\n    idx = arr.offset\n    for(j=0; j<d; ++j) {\n      if(i & (1<<j)) {\n        if(!s1[j]) {\n          continue i_loop\n        }\n        w *= fx[j]\n        idx += arr.stride[j] * (ix[j] + 1)\n      } else {\n        if(!s0[j]) {\n          continue i_loop\n        }\n        w *= 1.0 - fx[j]\n        idx += arr.stride[j] * ix[j]\n      }\n    }\n    r += w * arr.data[idx]\n  }\n  return r\n}\n\nfunction interpolate(arr, x, y, z) {\n  switch(arr.shape.length) {\n    case 0:\n      return 0.0\n    case 1:\n      return interp1d(arr, x)\n    case 2:\n      return interp2d(arr, x, y)\n    case 3:\n      return interp3d(arr, x, y, z)\n    default:\n      return interpNd.apply(undefined, arguments)\n  }\n}\nmodule.exports = interpolate\nmodule.exports.d1 = interp1d\nmodule.exports.d2 = interp2d\nmodule.exports.d3 = interp3d\n\n},{}],427:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar compile = _dereq_(\"cwise-compiler\")\n\nvar EmptyProc = {\n  body: \"\",\n  args: [],\n  thisVars: [],\n  localVars: []\n}\n\nfunction fixup(x) {\n  if(!x) {\n    return EmptyProc\n  }\n  for(var i=0; i<x.args.length; ++i) {\n    var a = x.args[i]\n    if(i === 0) {\n      x.args[i] = {name: a, lvalue:true, rvalue: !!x.rvalue, count:x.count||1 }\n    } else {\n      x.args[i] = {name: a, lvalue:false, rvalue:true, count: 1}\n    }\n  }\n  if(!x.thisVars) {\n    x.thisVars = []\n  }\n  if(!x.localVars) {\n    x.localVars = []\n  }\n  return x\n}\n\nfunction pcompile(user_args) {\n  return compile({\n    args:     user_args.args,\n    pre:      fixup(user_args.pre),\n    body:     fixup(user_args.body),\n    post:     fixup(user_args.proc),\n    funcName: user_args.funcName\n  })\n}\n\nfunction makeOp(user_args) {\n  var args = []\n  for(var i=0; i<user_args.args.length; ++i) {\n    args.push(\"a\"+i)\n  }\n  var wrapper = new Function(\"P\", [\n    \"return function \", user_args.funcName, \"_ndarrayops(\", args.join(\",\"), \") {P(\", args.join(\",\"), \");return a0}\"\n  ].join(\"\"))\n  return wrapper(pcompile(user_args))\n}\n\nvar assign_ops = {\n  add:  \"+\",\n  sub:  \"-\",\n  mul:  \"*\",\n  div:  \"/\",\n  mod:  \"%\",\n  band: \"&\",\n  bor:  \"|\",\n  bxor: \"^\",\n  lshift: \"<<\",\n  rshift: \">>\",\n  rrshift: \">>>\"\n}\n;(function(){\n  for(var id in assign_ops) {\n    var op = assign_ops[id]\n    exports[id] = makeOp({\n      args: [\"array\",\"array\",\"array\"],\n      body: {args:[\"a\",\"b\",\"c\"],\n             body: \"a=b\"+op+\"c\"},\n      funcName: id\n    })\n    exports[id+\"eq\"] = makeOp({\n      args: [\"array\",\"array\"],\n      body: {args:[\"a\",\"b\"],\n             body:\"a\"+op+\"=b\"},\n      rvalue: true,\n      funcName: id+\"eq\"\n    })\n    exports[id+\"s\"] = makeOp({\n      args: [\"array\", \"array\", \"scalar\"],\n      body: {args:[\"a\",\"b\",\"s\"],\n             body:\"a=b\"+op+\"s\"},\n      funcName: id+\"s\"\n    })\n    exports[id+\"seq\"] = makeOp({\n      args: [\"array\",\"scalar\"],\n      body: {args:[\"a\",\"s\"],\n             body:\"a\"+op+\"=s\"},\n      rvalue: true,\n      funcName: id+\"seq\"\n    })\n  }\n})();\n\nvar unary_ops = {\n  not: \"!\",\n  bnot: \"~\",\n  neg: \"-\",\n  recip: \"1.0/\"\n}\n;(function(){\n  for(var id in unary_ops) {\n    var op = unary_ops[id]\n    exports[id] = makeOp({\n      args: [\"array\", \"array\"],\n      body: {args:[\"a\",\"b\"],\n             body:\"a=\"+op+\"b\"},\n      funcName: id\n    })\n    exports[id+\"eq\"] = makeOp({\n      args: [\"array\"],\n      body: {args:[\"a\"],\n             body:\"a=\"+op+\"a\"},\n      rvalue: true,\n      count: 2,\n      funcName: id+\"eq\"\n    })\n  }\n})();\n\nvar binary_ops = {\n  and: \"&&\",\n  or: \"||\",\n  eq: \"===\",\n  neq: \"!==\",\n  lt: \"<\",\n  gt: \">\",\n  leq: \"<=\",\n  geq: \">=\"\n}\n;(function() {\n  for(var id in binary_ops) {\n    var op = binary_ops[id]\n    exports[id] = makeOp({\n      args: [\"array\",\"array\",\"array\"],\n      body: {args:[\"a\", \"b\", \"c\"],\n             body:\"a=b\"+op+\"c\"},\n      funcName: id\n    })\n    exports[id+\"s\"] = makeOp({\n      args: [\"array\",\"array\",\"scalar\"],\n      body: {args:[\"a\", \"b\", \"s\"],\n             body:\"a=b\"+op+\"s\"},\n      funcName: id+\"s\"\n    })\n    exports[id+\"eq\"] = makeOp({\n      args: [\"array\", \"array\"],\n      body: {args:[\"a\", \"b\"],\n             body:\"a=a\"+op+\"b\"},\n      rvalue:true,\n      count:2,\n      funcName: id+\"eq\"\n    })\n    exports[id+\"seq\"] = makeOp({\n      args: [\"array\", \"scalar\"],\n      body: {args:[\"a\",\"s\"],\n             body:\"a=a\"+op+\"s\"},\n      rvalue:true,\n      count:2,\n      funcName: id+\"seq\"\n    })\n  }\n})();\n\nvar math_unary = [\n  \"abs\",\n  \"acos\",\n  \"asin\",\n  \"atan\",\n  \"ceil\",\n  \"cos\",\n  \"exp\",\n  \"floor\",\n  \"log\",\n  \"round\",\n  \"sin\",\n  \"sqrt\",\n  \"tan\"\n]\n;(function() {\n  for(var i=0; i<math_unary.length; ++i) {\n    var f = math_unary[i]\n    exports[f] = makeOp({\n                    args: [\"array\", \"array\"],\n                    pre: {args:[], body:\"this_f=Math.\"+f, thisVars:[\"this_f\"]},\n                    body: {args:[\"a\",\"b\"], body:\"a=this_f(b)\", thisVars:[\"this_f\"]},\n                    funcName: f\n                  })\n    exports[f+\"eq\"] = makeOp({\n                      args: [\"array\"],\n                      pre: {args:[], body:\"this_f=Math.\"+f, thisVars:[\"this_f\"]},\n                      body: {args: [\"a\"], body:\"a=this_f(a)\", thisVars:[\"this_f\"]},\n                      rvalue: true,\n                      count: 2,\n                      funcName: f+\"eq\"\n                    })\n  }\n})();\n\nvar math_comm = [\n  \"max\",\n  \"min\",\n  \"atan2\",\n  \"pow\"\n]\n;(function(){\n  for(var i=0; i<math_comm.length; ++i) {\n    var f= math_comm[i]\n    exports[f] = makeOp({\n                  args:[\"array\", \"array\", \"array\"],\n                  pre: {args:[], body:\"this_f=Math.\"+f, thisVars:[\"this_f\"]},\n                  body: {args:[\"a\",\"b\",\"c\"], body:\"a=this_f(b,c)\", thisVars:[\"this_f\"]},\n                  funcName: f\n                })\n    exports[f+\"s\"] = makeOp({\n                  args:[\"array\", \"array\", \"scalar\"],\n                  pre: {args:[], body:\"this_f=Math.\"+f, thisVars:[\"this_f\"]},\n                  body: {args:[\"a\",\"b\",\"c\"], body:\"a=this_f(b,c)\", thisVars:[\"this_f\"]},\n                  funcName: f+\"s\"\n                  })\n    exports[f+\"eq\"] = makeOp({ args:[\"array\", \"array\"],\n                  pre: {args:[], body:\"this_f=Math.\"+f, thisVars:[\"this_f\"]},\n                  body: {args:[\"a\",\"b\"], body:\"a=this_f(a,b)\", thisVars:[\"this_f\"]},\n                  rvalue: true,\n                  count: 2,\n                  funcName: f+\"eq\"\n                  })\n    exports[f+\"seq\"] = makeOp({ args:[\"array\", \"scalar\"],\n                  pre: {args:[], body:\"this_f=Math.\"+f, thisVars:[\"this_f\"]},\n                  body: {args:[\"a\",\"b\"], body:\"a=this_f(a,b)\", thisVars:[\"this_f\"]},\n                  rvalue:true,\n                  count:2,\n                  funcName: f+\"seq\"\n                  })\n  }\n})();\n\nvar math_noncomm = [\n  \"atan2\",\n  \"pow\"\n]\n;(function(){\n  for(var i=0; i<math_noncomm.length; ++i) {\n    var f= math_noncomm[i]\n    exports[f+\"op\"] = makeOp({\n                  args:[\"array\", \"array\", \"array\"],\n                  pre: {args:[], body:\"this_f=Math.\"+f, thisVars:[\"this_f\"]},\n                  body: {args:[\"a\",\"b\",\"c\"], body:\"a=this_f(c,b)\", thisVars:[\"this_f\"]},\n                  funcName: f+\"op\"\n                })\n    exports[f+\"ops\"] = makeOp({\n                  args:[\"array\", \"array\", \"scalar\"],\n                  pre: {args:[], body:\"this_f=Math.\"+f, thisVars:[\"this_f\"]},\n                  body: {args:[\"a\",\"b\",\"c\"], body:\"a=this_f(c,b)\", thisVars:[\"this_f\"]},\n                  funcName: f+\"ops\"\n                  })\n    exports[f+\"opeq\"] = makeOp({ args:[\"array\", \"array\"],\n                  pre: {args:[], body:\"this_f=Math.\"+f, thisVars:[\"this_f\"]},\n                  body: {args:[\"a\",\"b\"], body:\"a=this_f(b,a)\", thisVars:[\"this_f\"]},\n                  rvalue: true,\n                  count: 2,\n                  funcName: f+\"opeq\"\n                  })\n    exports[f+\"opseq\"] = makeOp({ args:[\"array\", \"scalar\"],\n                  pre: {args:[], body:\"this_f=Math.\"+f, thisVars:[\"this_f\"]},\n                  body: {args:[\"a\",\"b\"], body:\"a=this_f(b,a)\", thisVars:[\"this_f\"]},\n                  rvalue:true,\n                  count:2,\n                  funcName: f+\"opseq\"\n                  })\n  }\n})();\n\nexports.any = compile({\n  args:[\"array\"],\n  pre: EmptyProc,\n  body: {args:[{name:\"a\", lvalue:false, rvalue:true, count:1}], body: \"if(a){return true}\", localVars: [], thisVars: []},\n  post: {args:[], localVars:[], thisVars:[], body:\"return false\"},\n  funcName: \"any\"\n})\n\nexports.all = compile({\n  args:[\"array\"],\n  pre: EmptyProc,\n  body: {args:[{name:\"x\", lvalue:false, rvalue:true, count:1}], body: \"if(!x){return false}\", localVars: [], thisVars: []},\n  post: {args:[], localVars:[], thisVars:[], body:\"return true\"},\n  funcName: \"all\"\n})\n\nexports.sum = compile({\n  args:[\"array\"],\n  pre: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"this_s=0\"},\n  body: {args:[{name:\"a\", lvalue:false, rvalue:true, count:1}], body: \"this_s+=a\", localVars: [], thisVars: [\"this_s\"]},\n  post: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"return this_s\"},\n  funcName: \"sum\"\n})\n\nexports.prod = compile({\n  args:[\"array\"],\n  pre: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"this_s=1\"},\n  body: {args:[{name:\"a\", lvalue:false, rvalue:true, count:1}], body: \"this_s*=a\", localVars: [], thisVars: [\"this_s\"]},\n  post: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"return this_s\"},\n  funcName: \"prod\"\n})\n\nexports.norm2squared = compile({\n  args:[\"array\"],\n  pre: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"this_s=0\"},\n  body: {args:[{name:\"a\", lvalue:false, rvalue:true, count:2}], body: \"this_s+=a*a\", localVars: [], thisVars: [\"this_s\"]},\n  post: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"return this_s\"},\n  funcName: \"norm2squared\"\n})\n  \nexports.norm2 = compile({\n  args:[\"array\"],\n  pre: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"this_s=0\"},\n  body: {args:[{name:\"a\", lvalue:false, rvalue:true, count:2}], body: \"this_s+=a*a\", localVars: [], thisVars: [\"this_s\"]},\n  post: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"return Math.sqrt(this_s)\"},\n  funcName: \"norm2\"\n})\n  \n\nexports.norminf = compile({\n  args:[\"array\"],\n  pre: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"this_s=0\"},\n  body: {args:[{name:\"a\", lvalue:false, rvalue:true, count:4}], body:\"if(-a>this_s){this_s=-a}else if(a>this_s){this_s=a}\", localVars: [], thisVars: [\"this_s\"]},\n  post: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"return this_s\"},\n  funcName: \"norminf\"\n})\n\nexports.norm1 = compile({\n  args:[\"array\"],\n  pre: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"this_s=0\"},\n  body: {args:[{name:\"a\", lvalue:false, rvalue:true, count:3}], body: \"this_s+=a<0?-a:a\", localVars: [], thisVars: [\"this_s\"]},\n  post: {args:[], localVars:[], thisVars:[\"this_s\"], body:\"return this_s\"},\n  funcName: \"norm1\"\n})\n\nexports.sup = compile({\n  args: [ \"array\" ],\n  pre:\n   { body: \"this_h=-Infinity\",\n     args: [],\n     thisVars: [ \"this_h\" ],\n     localVars: [] },\n  body:\n   { body: \"if(_inline_1_arg0_>this_h)this_h=_inline_1_arg0_\",\n     args: [{\"name\":\"_inline_1_arg0_\",\"lvalue\":false,\"rvalue\":true,\"count\":2} ],\n     thisVars: [ \"this_h\" ],\n     localVars: [] },\n  post:\n   { body: \"return this_h\",\n     args: [],\n     thisVars: [ \"this_h\" ],\n     localVars: [] }\n })\n\nexports.inf = compile({\n  args: [ \"array\" ],\n  pre:\n   { body: \"this_h=Infinity\",\n     args: [],\n     thisVars: [ \"this_h\" ],\n     localVars: [] },\n  body:\n   { body: \"if(_inline_1_arg0_<this_h)this_h=_inline_1_arg0_\",\n     args: [{\"name\":\"_inline_1_arg0_\",\"lvalue\":false,\"rvalue\":true,\"count\":2} ],\n     thisVars: [ \"this_h\" ],\n     localVars: [] },\n  post:\n   { body: \"return this_h\",\n     args: [],\n     thisVars: [ \"this_h\" ],\n     localVars: [] }\n })\n\nexports.argmin = compile({\n  args:[\"index\",\"array\",\"shape\"],\n  pre:{\n    body:\"{this_v=Infinity;this_i=_inline_0_arg2_.slice(0)}\",\n    args:[\n      {name:\"_inline_0_arg0_\",lvalue:false,rvalue:false,count:0},\n      {name:\"_inline_0_arg1_\",lvalue:false,rvalue:false,count:0},\n      {name:\"_inline_0_arg2_\",lvalue:false,rvalue:true,count:1}\n      ],\n    thisVars:[\"this_i\",\"this_v\"],\n    localVars:[]},\n  body:{\n    body:\"{if(_inline_1_arg1_<this_v){this_v=_inline_1_arg1_;for(var _inline_1_k=0;_inline_1_k<_inline_1_arg0_.length;++_inline_1_k){this_i[_inline_1_k]=_inline_1_arg0_[_inline_1_k]}}}\",\n    args:[\n      {name:\"_inline_1_arg0_\",lvalue:false,rvalue:true,count:2},\n      {name:\"_inline_1_arg1_\",lvalue:false,rvalue:true,count:2}],\n    thisVars:[\"this_i\",\"this_v\"],\n    localVars:[\"_inline_1_k\"]},\n  post:{\n    body:\"{return this_i}\",\n    args:[],\n    thisVars:[\"this_i\"],\n    localVars:[]}\n})\n\nexports.argmax = compile({\n  args:[\"index\",\"array\",\"shape\"],\n  pre:{\n    body:\"{this_v=-Infinity;this_i=_inline_0_arg2_.slice(0)}\",\n    args:[\n      {name:\"_inline_0_arg0_\",lvalue:false,rvalue:false,count:0},\n      {name:\"_inline_0_arg1_\",lvalue:false,rvalue:false,count:0},\n      {name:\"_inline_0_arg2_\",lvalue:false,rvalue:true,count:1}\n      ],\n    thisVars:[\"this_i\",\"this_v\"],\n    localVars:[]},\n  body:{\n    body:\"{if(_inline_1_arg1_>this_v){this_v=_inline_1_arg1_;for(var _inline_1_k=0;_inline_1_k<_inline_1_arg0_.length;++_inline_1_k){this_i[_inline_1_k]=_inline_1_arg0_[_inline_1_k]}}}\",\n    args:[\n      {name:\"_inline_1_arg0_\",lvalue:false,rvalue:true,count:2},\n      {name:\"_inline_1_arg1_\",lvalue:false,rvalue:true,count:2}],\n    thisVars:[\"this_i\",\"this_v\"],\n    localVars:[\"_inline_1_k\"]},\n  post:{\n    body:\"{return this_i}\",\n    args:[],\n    thisVars:[\"this_i\"],\n    localVars:[]}\n})  \n\nexports.random = makeOp({\n  args: [\"array\"],\n  pre: {args:[], body:\"this_f=Math.random\", thisVars:[\"this_f\"]},\n  body: {args: [\"a\"], body:\"a=this_f()\", thisVars:[\"this_f\"]},\n  funcName: \"random\"\n})\n\nexports.assign = makeOp({\n  args:[\"array\", \"array\"],\n  body: {args:[\"a\", \"b\"], body:\"a=b\"},\n  funcName: \"assign\" })\n\nexports.assigns = makeOp({\n  args:[\"array\", \"scalar\"],\n  body: {args:[\"a\", \"b\"], body:\"a=b\"},\n  funcName: \"assigns\" })\n\n\nexports.equals = compile({\n  args:[\"array\", \"array\"],\n  pre: EmptyProc,\n  body: {args:[{name:\"x\", lvalue:false, rvalue:true, count:1},\n               {name:\"y\", lvalue:false, rvalue:true, count:1}], \n        body: \"if(x!==y){return false}\", \n        localVars: [], \n        thisVars: []},\n  post: {args:[], localVars:[], thisVars:[], body:\"return true\"},\n  funcName: \"equals\"\n})\n\n\n\n},{\"cwise-compiler\":134}],428:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar ndarray = _dereq_(\"ndarray\")\nvar do_convert = _dereq_(\"./doConvert.js\")\n\nmodule.exports = function convert(arr, result) {\n  var shape = [], c = arr, sz = 1\n  while(Array.isArray(c)) {\n    shape.push(c.length)\n    sz *= c.length\n    c = c[0]\n  }\n  if(shape.length === 0) {\n    return ndarray()\n  }\n  if(!result) {\n    result = ndarray(new Float64Array(sz), shape)\n  }\n  do_convert(result, arr)\n  return result\n}\n\n},{\"./doConvert.js\":429,\"ndarray\":433}],429:[function(_dereq_,module,exports){\nmodule.exports=_dereq_('cwise-compiler')({\"args\":[\"array\",\"scalar\",\"index\"],\"pre\":{\"body\":\"{}\",\"args\":[],\"thisVars\":[],\"localVars\":[]},\"body\":{\"body\":\"{\\nvar _inline_1_v=_inline_1_arg1_,_inline_1_i\\nfor(_inline_1_i=0;_inline_1_i<_inline_1_arg2_.length-1;++_inline_1_i) {\\n_inline_1_v=_inline_1_v[_inline_1_arg2_[_inline_1_i]]\\n}\\n_inline_1_arg0_=_inline_1_v[_inline_1_arg2_[_inline_1_arg2_.length-1]]\\n}\",\"args\":[{\"name\":\"_inline_1_arg0_\",\"lvalue\":true,\"rvalue\":false,\"count\":1},{\"name\":\"_inline_1_arg1_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_1_arg2_\",\"lvalue\":false,\"rvalue\":true,\"count\":4}],\"thisVars\":[],\"localVars\":[\"_inline_1_i\",\"_inline_1_v\"]},\"post\":{\"body\":\"{}\",\"args\":[],\"thisVars\":[],\"localVars\":[]},\"funcName\":\"convert\",\"blockSize\":64})\n\n},{\"cwise-compiler\":134}],430:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar pool = _dereq_(\"typedarray-pool\")\n\nvar INSERTION_SORT_THRESHOLD = 32\n\nfunction getMallocFree(dtype) {\n  switch(dtype) {\n    case \"uint8\":\n      return [pool.mallocUint8, pool.freeUint8]\n    case \"uint16\":\n      return [pool.mallocUint16, pool.freeUint16]\n    case \"uint32\":\n      return [pool.mallocUint32, pool.freeUint32]\n    case \"int8\":\n      return [pool.mallocInt8, pool.freeInt8]\n    case \"int16\":\n      return [pool.mallocInt16, pool.freeInt16]\n    case \"int32\":\n      return [pool.mallocInt32, pool.freeInt32]\n    case \"float32\":\n      return [pool.mallocFloat, pool.freeFloat]\n    case \"float64\":\n      return [pool.mallocDouble, pool.freeDouble]\n    default:\n      return null\n  }\n}\n\nfunction shapeArgs(dimension) {\n  var args = []\n  for(var i=0; i<dimension; ++i) {\n    args.push(\"s\"+i)\n  }\n  for(var i=0; i<dimension; ++i) {\n    args.push(\"n\"+i)\n  }\n  for(var i=1; i<dimension; ++i) {\n    args.push(\"d\"+i)\n  }\n  for(var i=1; i<dimension; ++i) {\n    args.push(\"e\"+i)\n  }\n  for(var i=1; i<dimension; ++i) {\n    args.push(\"f\"+i)\n  }\n  return args\n}\n\nfunction createInsertionSort(order, dtype) {\n\n  var code = [\"'use strict'\"]\n  var funcName = [\"ndarrayInsertionSort\", order.join(\"d\"), dtype].join(\"\")\n  var funcArgs = [\"left\", \"right\", \"data\", \"offset\" ].concat(shapeArgs(order.length))\n  var allocator = getMallocFree(dtype)\n  \n  var vars = [ \"i,j,cptr,ptr=left*s0+offset\" ]\n  \n  if(order.length > 1) {\n    var scratch_shape = []\n    for(var i=1; i<order.length; ++i) {\n      vars.push(\"i\"+i)\n      scratch_shape.push(\"n\"+i)\n    }\n    if(allocator) {\n      vars.push(\"scratch=malloc(\" + scratch_shape.join(\"*\") + \")\")\n    } else {\n      vars.push(\"scratch=new Array(\"+scratch_shape.join(\"*\") + \")\")\n    }\n    vars.push(\"dptr\",\"sptr\",\"a\",\"b\")\n  } else {\n    vars.push(\"scratch\")\n  }\n  \n  function dataRead(ptr) {\n    if(dtype === \"generic\") {\n      return [\"data.get(\", ptr, \")\"].join(\"\")\n    }\n    return [\"data[\",ptr,\"]\"].join(\"\")\n  }\n  \n  function dataWrite(ptr, v) {\n    if(dtype === \"generic\") {\n      return [\"data.set(\", ptr, \",\", v, \")\"].join(\"\")\n    }\n    return [\"data[\",ptr,\"]=\",v].join(\"\")\n  }\n  \n  //Create function header\n  code.push(\n    [\"function \", funcName, \"(\", funcArgs.join(\",\"), \"){var \", vars.join(\",\")].join(\"\"),\n      \"for(i=left+1;i<=right;++i){\",\n        \"j=i;ptr+=s0\",\n        \"cptr=ptr\")\n  \n  \n  if(order.length > 1) {\n  \n    //Copy data into scratch\n    code.push(\"dptr=0;sptr=ptr\")\n    for(var i=order.length-1; i>=0; --i) {\n      var j = order[i]\n      if(j === 0) {\n        continue\n      }\n      code.push([\"for(i\",j,\"=0;i\",j,\"<n\",j,\";++i\",j,\"){\"].join(\"\"))\n    }\n    code.push(\"scratch[dptr++]=\",dataRead(\"sptr\"))\n    for(var i=0; i<order.length; ++i) {\n      var j = order[i]\n      if(j === 0) {\n        continue\n      }\n      code.push(\"sptr+=d\"+j,\"}\")\n    }\n\n    \n    //Compare items in outer loop\n    code.push(\"__g:while(j-->left){\",\n              \"dptr=0\",\n              \"sptr=cptr-s0\")\n    for(var i=1; i<order.length; ++i) {\n      if(i === 1) {\n        code.push(\"__l:\")\n      }\n      code.push([\"for(i\",i,\"=0;i\",i,\"<n\",i,\";++i\",i,\"){\"].join(\"\"))\n    }\n    code.push([\"a=\", dataRead(\"sptr\"),\"\\nb=scratch[dptr]\\nif(a<b){break __g}\\nif(a>b){break __l}\"].join(\"\"))\n    for(var i=order.length-1; i>=1; --i) {\n      code.push(\n        \"sptr+=e\"+i,\n        \"dptr+=f\"+i,\n        \"}\")\n    }\n    \n    //Copy data back\n    code.push(\"dptr=cptr;sptr=cptr-s0\")\n    for(var i=order.length-1; i>=0; --i) {\n      var j = order[i]\n      if(j === 0) {\n        continue\n      }\n      code.push([\"for(i\",j,\"=0;i\",j,\"<n\",j,\";++i\",j,\"){\"].join(\"\"))\n    }\n    code.push(dataWrite(\"dptr\", dataRead(\"sptr\")))\n    for(var i=0; i<order.length; ++i) {\n      var j = order[i]\n      if(j === 0) {\n        continue\n      }\n      code.push([\"dptr+=d\",j,\";sptr+=d\",j].join(\"\"),\"}\")\n    }\n    \n    //Close while loop\n    code.push(\"cptr-=s0\\n}\")\n\n    //Copy scratch into cptr\n    code.push(\"dptr=cptr;sptr=0\")\n    for(var i=order.length-1; i>=0; --i) {\n      var j = order[i]\n      if(j === 0) {\n        continue\n      }\n      code.push([\"for(i\",j,\"=0;i\",j,\"<n\",j,\";++i\",j,\"){\"].join(\"\"))\n    }\n    code.push(dataWrite(\"dptr\", \"scratch[sptr++]\"))\n    for(var i=0; i<order.length; ++i) {\n      var j = order[i]\n      if(j === 0) {\n        continue\n      }\n      code.push(\"dptr+=d\"+j,\"}\")\n    }\n  } else {\n    code.push(\"scratch=\" + dataRead(\"ptr\"),\n              \"while((j-->left)&&(\"+dataRead(\"cptr-s0\")+\">scratch)){\",\n                dataWrite(\"cptr\", dataRead(\"cptr-s0\")),\n                \"cptr-=s0\",\n              \"}\",\n              dataWrite(\"cptr\", \"scratch\"))\n  }\n  \n  //Close outer loop body\n  code.push(\"}\")\n  if(order.length > 1 && allocator) {\n    code.push(\"free(scratch)\")\n  }\n  code.push(\"} return \" + funcName)\n  \n  //Compile and link function\n  if(allocator) {\n    var result = new Function(\"malloc\", \"free\", code.join(\"\\n\"))\n    return result(allocator[0], allocator[1])\n  } else {\n    var result = new Function(code.join(\"\\n\"))\n    return result()\n  }\n}\n\nfunction createQuickSort(order, dtype, insertionSort) {\n  var code = [ \"'use strict'\" ]\n  var funcName = [\"ndarrayQuickSort\", order.join(\"d\"), dtype].join(\"\")\n  var funcArgs = [\"left\", \"right\", \"data\", \"offset\" ].concat(shapeArgs(order.length))\n  var allocator = getMallocFree(dtype)\n  var labelCounter=0\n  \n  code.push([\"function \", funcName, \"(\", funcArgs.join(\",\"), \"){\"].join(\"\"))\n  \n  var vars = [\n    \"sixth=((right-left+1)/6)|0\",\n    \"index1=left+sixth\",\n    \"index5=right-sixth\",\n    \"index3=(left+right)>>1\",\n    \"index2=index3-sixth\",\n    \"index4=index3+sixth\",\n    \"el1=index1\",\n    \"el2=index2\",\n    \"el3=index3\",\n    \"el4=index4\",\n    \"el5=index5\",\n    \"less=left+1\",\n    \"great=right-1\",\n    \"pivots_are_equal=true\",\n    \"tmp\",\n    \"tmp0\",\n    \"x\",\n    \"y\",\n    \"z\",\n    \"k\",\n    \"ptr0\",\n    \"ptr1\",\n    \"ptr2\",\n    \"comp_pivot1=0\",\n    \"comp_pivot2=0\",\n    \"comp=0\"\n  ]\n  \n  if(order.length > 1) {\n    var ele_size = []\n    for(var i=1; i<order.length; ++i) {\n      ele_size.push(\"n\"+i)\n      vars.push(\"i\"+i)\n    }\n    for(var i=0; i<8; ++i) {\n      vars.push(\"b_ptr\"+i)\n    }\n    vars.push(\n      \"ptr3\",\n      \"ptr4\",\n      \"ptr5\",\n      \"ptr6\",\n      \"ptr7\",\n      \"pivot_ptr\",\n      \"ptr_shift\",\n      \"elementSize=\"+ele_size.join(\"*\"))\n    if(allocator) {\n      vars.push(\"pivot1=malloc(elementSize)\",\n                \"pivot2=malloc(elementSize)\")\n    } else {\n      vars.push(\"pivot1=new Array(elementSize),pivot2=new Array(elementSize)\")\n    }\n  } else {\n    vars.push(\"pivot1\", \"pivot2\")\n  }\n  \n  //Initialize local variables\n  code.push(\"var \" + vars.join(\",\"))\n  \n  function toPointer(v) {\n    return [\"(offset+\",v,\"*s0)\"].join(\"\")\n  }\n  \n  function dataRead(ptr) {\n    if(dtype === \"generic\") {\n      return [\"data.get(\", ptr, \")\"].join(\"\")\n    }\n    return [\"data[\",ptr,\"]\"].join(\"\")\n  }\n  \n  function dataWrite(ptr, v) {\n    if(dtype === \"generic\") {\n      return [\"data.set(\", ptr, \",\", v, \")\"].join(\"\")\n    }\n    return [\"data[\",ptr,\"]=\",v].join(\"\")\n  }\n  \n  function cacheLoop(ptrs, usePivot, body) {\n    if(ptrs.length === 1) {\n      code.push(\"ptr0=\"+toPointer(ptrs[0]))\n    } else {\n      for(var i=0; i<ptrs.length; ++i) {\n        code.push([\"b_ptr\",i,\"=s0*\",ptrs[i]].join(\"\"))\n      }\n    }\n    if(usePivot) {\n      code.push(\"pivot_ptr=0\")\n    }\n    code.push(\"ptr_shift=offset\")\n    for(var i=order.length-1; i>=0; --i) {\n      var j = order[i]\n      if(j === 0) {\n        continue\n      }\n      code.push([\"for(i\",j,\"=0;i\",j,\"<n\",j,\";++i\",j,\"){\"].join(\"\"))\n    }\n    if(ptrs.length > 1) {\n      for(var i=0; i<ptrs.length; ++i) {\n        code.push([\"ptr\",i,\"=b_ptr\",i,\"+ptr_shift\"].join(\"\"))\n      }\n    }\n    code.push(body)\n    if(usePivot) {\n      code.push(\"++pivot_ptr\")\n    }\n    for(var i=0; i<order.length; ++i) {\n      var j = order[i]\n      if(j === 0) {\n        continue\n      }\n      if(ptrs.length>1) {\n        code.push(\"ptr_shift+=d\"+j)\n      } else {\n        code.push(\"ptr0+=d\"+j)\n      }\n      code.push(\"}\")\n    }\n  }\n  \n  function lexicoLoop(label, ptrs, usePivot, body) {\n    if(ptrs.length === 1) {\n      code.push(\"ptr0=\"+toPointer(ptrs[0]))\n    } else {\n      for(var i=0; i<ptrs.length; ++i) {\n        code.push([\"b_ptr\",i,\"=s0*\",ptrs[i]].join(\"\"))\n      }\n      code.push(\"ptr_shift=offset\")\n    }\n    if(usePivot) {\n      code.push(\"pivot_ptr=0\")\n    }\n    if(label) {\n      code.push(label+\":\")\n    }\n    for(var i=1; i<order.length; ++i) {\n      code.push([\"for(i\",i,\"=0;i\",i,\"<n\",i,\";++i\",i,\"){\"].join(\"\"))\n    }\n    if(ptrs.length > 1) {\n      for(var i=0; i<ptrs.length; ++i) {\n        code.push([\"ptr\",i,\"=b_ptr\",i,\"+ptr_shift\"].join(\"\"))\n      }\n    }\n    code.push(body)\n    for(var i=order.length-1; i>=1; --i) {\n      if(usePivot) {\n        code.push(\"pivot_ptr+=f\"+i)\n      }\n      if(ptrs.length > 1) {\n        code.push(\"ptr_shift+=e\"+i)\n      } else {\n        code.push(\"ptr0+=e\"+i)\n      }\n      code.push(\"}\")\n    }\n  }\n  \n  function cleanUp() {\n    if(order.length > 1 && allocator) {\n      code.push(\"free(pivot1)\", \"free(pivot2)\")\n    }\n  }\n  \n  function compareSwap(a_id, b_id) {\n    var a = \"el\"+a_id\n    var b = \"el\"+b_id\n    if(order.length > 1) {\n      var lbl = \"__l\" + (++labelCounter)\n      lexicoLoop(lbl, [a, b], false, [\n        \"comp=\",dataRead(\"ptr0\"),\"-\",dataRead(\"ptr1\"),\"\\n\",\n        \"if(comp>0){tmp0=\", a, \";\",a,\"=\",b,\";\", b,\"=tmp0;break \", lbl,\"}\\n\",\n        \"if(comp<0){break \", lbl, \"}\"\n      ].join(\"\"))\n    } else {\n      code.push([\"if(\", dataRead(toPointer(a)), \">\", dataRead(toPointer(b)), \"){tmp0=\", a, \";\",a,\"=\",b,\";\", b,\"=tmp0}\"].join(\"\"))\n    }\n  }\n  \n  compareSwap(1, 2)\n  compareSwap(4, 5)\n  compareSwap(1, 3)\n  compareSwap(2, 3)\n  compareSwap(1, 4)\n  compareSwap(3, 4)\n  compareSwap(2, 5)\n  compareSwap(2, 3)\n  compareSwap(4, 5)\n  \n  if(order.length > 1) {\n    cacheLoop([\"el1\", \"el2\", \"el3\", \"el4\", \"el5\", \"index1\", \"index3\", \"index5\"], true, [\n      \"pivot1[pivot_ptr]=\",dataRead(\"ptr1\"),\"\\n\",\n      \"pivot2[pivot_ptr]=\",dataRead(\"ptr3\"),\"\\n\",\n      \"pivots_are_equal=pivots_are_equal&&(pivot1[pivot_ptr]===pivot2[pivot_ptr])\\n\",\n      \"x=\",dataRead(\"ptr0\"),\"\\n\",\n      \"y=\",dataRead(\"ptr2\"),\"\\n\",\n      \"z=\",dataRead(\"ptr4\"),\"\\n\",\n      dataWrite(\"ptr5\", \"x\"),\"\\n\",\n      dataWrite(\"ptr6\", \"y\"),\"\\n\",\n      dataWrite(\"ptr7\", \"z\")\n    ].join(\"\"))\n  } else {\n    code.push([\n      \"pivot1=\", dataRead(toPointer(\"el2\")), \"\\n\",\n      \"pivot2=\", dataRead(toPointer(\"el4\")), \"\\n\",\n      \"pivots_are_equal=pivot1===pivot2\\n\",\n      \"x=\", dataRead(toPointer(\"el1\")), \"\\n\",\n      \"y=\", dataRead(toPointer(\"el3\")), \"\\n\",\n      \"z=\", dataRead(toPointer(\"el5\")), \"\\n\",\n      dataWrite(toPointer(\"index1\"), \"x\"), \"\\n\",\n      dataWrite(toPointer(\"index3\"), \"y\"), \"\\n\",\n      dataWrite(toPointer(\"index5\"), \"z\")\n    ].join(\"\"))\n  }\n  \n\n  function moveElement(dst, src) {\n    if(order.length > 1) {\n      cacheLoop([dst, src], false,\n        dataWrite(\"ptr0\", dataRead(\"ptr1\"))\n      )\n    } else {\n      code.push(dataWrite(toPointer(dst), dataRead(toPointer(src))))\n    }\n  }\n  \n  moveElement(\"index2\", \"left\")\n  moveElement(\"index4\", \"right\")\n  \n  function comparePivot(result, ptr, n) {\n    if(order.length > 1) {\n      var lbl = \"__l\" + (++labelCounter)\n      lexicoLoop(lbl, [ptr], true, [\n        result,\"=\",dataRead(\"ptr0\"),\"-pivot\",n,\"[pivot_ptr]\\n\",\n        \"if(\",result,\"!==0){break \", lbl, \"}\"\n      ].join(\"\"))\n    } else {\n      code.push([result,\"=\", dataRead(toPointer(ptr)), \"-pivot\", n].join(\"\"))\n    }\n  }\n  \n  function swapElements(a, b) {\n    if(order.length > 1) {\n      cacheLoop([a,b],false,[\n        \"tmp=\",dataRead(\"ptr0\"),\"\\n\",\n        dataWrite(\"ptr0\", dataRead(\"ptr1\")),\"\\n\",\n        dataWrite(\"ptr1\", \"tmp\")\n      ].join(\"\"))\n    } else {\n      code.push([\n        \"ptr0=\",toPointer(a),\"\\n\",\n        \"ptr1=\",toPointer(b),\"\\n\",\n        \"tmp=\",dataRead(\"ptr0\"),\"\\n\",\n        dataWrite(\"ptr0\", dataRead(\"ptr1\")),\"\\n\",\n        dataWrite(\"ptr1\", \"tmp\")\n      ].join(\"\"))\n    }\n  }\n  \n  function tripleSwap(k, less, great) {\n    if(order.length > 1) {\n      cacheLoop([k,less,great], false, [\n        \"tmp=\",dataRead(\"ptr0\"),\"\\n\",\n        dataWrite(\"ptr0\", dataRead(\"ptr1\")),\"\\n\",\n        dataWrite(\"ptr1\", dataRead(\"ptr2\")),\"\\n\",\n        dataWrite(\"ptr2\", \"tmp\")\n      ].join(\"\"))\n      code.push(\"++\"+less, \"--\"+great)\n    } else {\n      code.push([\n        \"ptr0=\",toPointer(k),\"\\n\",\n        \"ptr1=\",toPointer(less),\"\\n\",\n        \"ptr2=\",toPointer(great),\"\\n\",\n        \"++\",less,\"\\n\",\n        \"--\",great,\"\\n\",\n        \"tmp=\", dataRead(\"ptr0\"), \"\\n\",\n        dataWrite(\"ptr0\", dataRead(\"ptr1\")), \"\\n\",\n        dataWrite(\"ptr1\", dataRead(\"ptr2\")), \"\\n\",\n        dataWrite(\"ptr2\", \"tmp\")\n      ].join(\"\"))\n    }\n  }\n  \n  function swapAndDecrement(k, great) {\n    swapElements(k, great)\n    code.push(\"--\"+great)\n  }\n    \n  code.push(\"if(pivots_are_equal){\")\n    //Pivots are equal case\n    code.push(\"for(k=less;k<=great;++k){\")\n      comparePivot(\"comp\", \"k\", 1)\n      code.push(\"if(comp===0){continue}\")\n      code.push(\"if(comp<0){\")\n        code.push(\"if(k!==less){\")\n          swapElements(\"k\", \"less\")\n        code.push(\"}\")\n        code.push(\"++less\")\n      code.push(\"}else{\")\n        code.push(\"while(true){\")\n          comparePivot(\"comp\", \"great\", 1)\n          code.push(\"if(comp>0){\")\n            code.push(\"great--\")\n          code.push(\"}else if(comp<0){\")\n            tripleSwap(\"k\", \"less\", \"great\")\n            code.push(\"break\")\n          code.push(\"}else{\")\n            swapAndDecrement(\"k\", \"great\")\n            code.push(\"break\")\n          code.push(\"}\")\n        code.push(\"}\")\n      code.push(\"}\")\n    code.push(\"}\")\n  code.push(\"}else{\")\n    //Pivots not equal case\n    code.push(\"for(k=less;k<=great;++k){\")\n      comparePivot(\"comp_pivot1\", \"k\", 1)\n      code.push(\"if(comp_pivot1<0){\")\n        code.push(\"if(k!==less){\")\n          swapElements(\"k\", \"less\")\n        code.push(\"}\")\n        code.push(\"++less\")\n      code.push(\"}else{\")\n        comparePivot(\"comp_pivot2\", \"k\", 2)\n        code.push(\"if(comp_pivot2>0){\")\n          code.push(\"while(true){\")\n            comparePivot(\"comp\", \"great\", 2)\n            code.push(\"if(comp>0){\")\n              code.push(\"if(--great<k){break}\")\n              code.push(\"continue\")\n            code.push(\"}else{\")\n              comparePivot(\"comp\", \"great\", 1)\n              code.push(\"if(comp<0){\")\n                tripleSwap(\"k\", \"less\", \"great\")\n              code.push(\"}else{\")\n                swapAndDecrement(\"k\", \"great\")\n              code.push(\"}\")\n              code.push(\"break\")\n            code.push(\"}\")\n          code.push(\"}\")\n        code.push(\"}\")\n      code.push(\"}\")\n    code.push(\"}\")\n  code.push(\"}\")\n  \n  //Move pivots to correct place\n  function storePivot(mem_dest, pivot_dest, pivot) {\n    if(order.length>1) {\n      cacheLoop([mem_dest, pivot_dest], true, [\n        dataWrite(\"ptr0\", dataRead(\"ptr1\")), \"\\n\",\n        dataWrite(\"ptr1\", [\"pivot\",pivot,\"[pivot_ptr]\"].join(\"\"))\n      ].join(\"\"))\n    } else {\n      code.push(\n          dataWrite(toPointer(mem_dest), dataRead(toPointer(pivot_dest))),\n          dataWrite(toPointer(pivot_dest), \"pivot\"+pivot))\n    }\n  }\n  \n  storePivot(\"left\", \"(less-1)\", 1)\n  storePivot(\"right\", \"(great+1)\", 2)\n\n  //Recursive sort call\n  function doSort(left, right) {\n    code.push([\n      \"if((\",right,\"-\",left,\")<=\",INSERTION_SORT_THRESHOLD,\"){\\n\",\n        \"insertionSort(\", left, \",\", right, \",data,offset,\", shapeArgs(order.length).join(\",\"), \")\\n\",\n      \"}else{\\n\",\n        funcName, \"(\", left, \",\", right, \",data,offset,\", shapeArgs(order.length).join(\",\"), \")\\n\",\n      \"}\"\n    ].join(\"\"))\n  }\n  doSort(\"left\", \"(less-2)\")\n  doSort(\"(great+2)\", \"right\")\n  \n  //If pivots are equal, then early out\n  code.push(\"if(pivots_are_equal){\")\n    cleanUp()\n    code.push(\"return\")\n  code.push(\"}\")\n  \n  function walkPointer(ptr, pivot, body) {\n    if(order.length > 1) {\n      code.push([\"__l\",++labelCounter,\":while(true){\"].join(\"\"))\n      cacheLoop([ptr], true, [\n        \"if(\", dataRead(\"ptr0\"), \"!==pivot\", pivot, \"[pivot_ptr]){break __l\", labelCounter, \"}\"\n      ].join(\"\"))\n      code.push(body, \"}\")\n    } else {\n      code.push([\"while(\", dataRead(toPointer(ptr)), \"===pivot\", pivot, \"){\", body, \"}\"].join(\"\"))\n    }\n  }\n  \n  //Check bounds\n  code.push(\"if(less<index1&&great>index5){\")\n  \n    walkPointer(\"less\", 1, \"++less\")\n    walkPointer(\"great\", 2, \"--great\")\n  \n    code.push(\"for(k=less;k<=great;++k){\")\n      comparePivot(\"comp_pivot1\", \"k\", 1)\n      code.push(\"if(comp_pivot1===0){\")\n        code.push(\"if(k!==less){\")\n          swapElements(\"k\", \"less\")\n        code.push(\"}\")\n        code.push(\"++less\")\n      code.push(\"}else{\")\n        comparePivot(\"comp_pivot2\", \"k\", 2)\n        code.push(\"if(comp_pivot2===0){\")\n          code.push(\"while(true){\")\n            comparePivot(\"comp\", \"great\", 2)\n            code.push(\"if(comp===0){\")\n              code.push(\"if(--great<k){break}\")\n              code.push(\"continue\")\n            code.push(\"}else{\")\n              comparePivot(\"comp\", \"great\", 1)\n              code.push(\"if(comp<0){\")\n                tripleSwap(\"k\", \"less\", \"great\")\n              code.push(\"}else{\")\n                swapAndDecrement(\"k\", \"great\")\n              code.push(\"}\")\n              code.push(\"break\")\n            code.push(\"}\")\n          code.push(\"}\")\n        code.push(\"}\")\n      code.push(\"}\")\n    code.push(\"}\")\n  code.push(\"}\")\n  \n  //Clean up and do a final sorting pass\n  cleanUp()\n  doSort(\"less\", \"great\")\n \n  //Close off main loop\n  code.push(\"}return \" + funcName)\n  \n  //Compile and link\n  if(order.length > 1 && allocator) {\n    var compiled = new Function(\"insertionSort\", \"malloc\", \"free\", code.join(\"\\n\"))\n    return compiled(insertionSort, allocator[0], allocator[1])\n  }\n  var compiled = new Function(\"insertionSort\", code.join(\"\\n\"))\n  return compiled(insertionSort)\n}\n\nfunction compileSort(order, dtype) {\n  var code = [\"'use strict'\"]\n  var funcName = [\"ndarraySortWrapper\", order.join(\"d\"), dtype].join(\"\")\n  var funcArgs = [ \"array\" ]\n  \n  code.push([\"function \", funcName, \"(\", funcArgs.join(\",\"), \"){\"].join(\"\"))\n  \n  //Unpack local variables from array\n  var vars = [\"data=array.data,offset=array.offset|0,shape=array.shape,stride=array.stride\"]\n  for(var i=0; i<order.length; ++i) {\n    vars.push([\"s\",i,\"=stride[\",i,\"]|0,n\",i,\"=shape[\",i,\"]|0\"].join(\"\"))\n  }\n  \n  var scratch_stride = new Array(order.length)\n  var nprod = []\n  for(var i=0; i<order.length; ++i) {\n    var k = order[i]\n    if(k === 0) {\n      continue\n    }\n    if(nprod.length === 0) {\n      scratch_stride[k] = \"1\"\n    } else {\n      scratch_stride[k] = nprod.join(\"*\")\n    }\n    nprod.push(\"n\"+k)\n  }\n  \n  var p = -1, q = -1\n  for(var i=0; i<order.length; ++i) {\n    var j = order[i]\n    if(j !== 0) {\n      if(p > 0) {\n        vars.push([\"d\",j,\"=s\",j,\"-d\",p,\"*n\",p].join(\"\"))\n      } else {\n        vars.push([\"d\",j,\"=s\",j].join(\"\"))\n      }\n      p = j\n    }\n    var k = order.length-1-i\n    if(k !== 0) {\n      if(q > 0) {\n        vars.push([\"e\",k,\"=s\",k,\"-e\",q,\"*n\",q,\n                  \",f\",k,\"=\",scratch_stride[k],\"-f\",q,\"*n\",q].join(\"\"))\n      } else {\n        vars.push([\"e\",k,\"=s\",k,\",f\",k,\"=\",scratch_stride[k]].join(\"\"))\n      }\n      q = k\n    }\n  }\n  \n  //Declare local variables\n  code.push(\"var \" + vars.join(\",\"))\n  \n  //Create arguments for subroutine\n  var sortArgs = [\"0\", \"n0-1\", \"data\", \"offset\"].concat(shapeArgs(order.length))\n  \n  //Call main sorting routine\n  code.push([\n    \"if(n0<=\",INSERTION_SORT_THRESHOLD,\"){\",\n      \"insertionSort(\", sortArgs.join(\",\"), \")}else{\",\n      \"quickSort(\", sortArgs.join(\",\"),\n    \")}\"\n  ].join(\"\"))\n  \n  //Return\n  code.push(\"}return \" + funcName)\n  \n  //Link everything together\n  var result = new Function(\"insertionSort\", \"quickSort\", code.join(\"\\n\"))\n  var insertionSort = createInsertionSort(order, dtype)\n  var quickSort = createQuickSort(order, dtype, insertionSort)\n  return result(insertionSort, quickSort)\n}\n\nmodule.exports = compileSort\n},{\"typedarray-pool\":522}],431:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar compile = _dereq_(\"./lib/compile_sort.js\")\nvar CACHE = {}\n\nfunction sort(array) {\n  var order = array.order\n  var dtype = array.dtype\n  var typeSig = [order, dtype ]\n  var typeName = typeSig.join(\":\")\n  var compiled = CACHE[typeName]\n  if(!compiled) {\n    CACHE[typeName] = compiled = compile(order, dtype)\n  }\n  compiled(array)\n  return array\n}\n\nmodule.exports = sort\n},{\"./lib/compile_sort.js\":430}],432:[function(_dereq_,module,exports){\n'use strict'\n\nvar interp  = _dereq_('ndarray-linear-interpolate')\n\n\nvar do_warp = _dereq_('cwise/lib/wrapper')({\"args\":[\"index\",\"array\",\"scalar\",\"scalar\",\"scalar\"],\"pre\":{\"body\":\"{this_warped=new Array(_inline_3_arg4_)}\",\"args\":[{\"name\":\"_inline_3_arg0_\",\"lvalue\":false,\"rvalue\":false,\"count\":0},{\"name\":\"_inline_3_arg1_\",\"lvalue\":false,\"rvalue\":false,\"count\":0},{\"name\":\"_inline_3_arg2_\",\"lvalue\":false,\"rvalue\":false,\"count\":0},{\"name\":\"_inline_3_arg3_\",\"lvalue\":false,\"rvalue\":false,\"count\":0},{\"name\":\"_inline_3_arg4_\",\"lvalue\":false,\"rvalue\":true,\"count\":1}],\"thisVars\":[\"this_warped\"],\"localVars\":[]},\"body\":{\"body\":\"{_inline_4_arg2_(this_warped,_inline_4_arg0_),_inline_4_arg1_=_inline_4_arg3_.apply(void 0,this_warped)}\",\"args\":[{\"name\":\"_inline_4_arg0_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_4_arg1_\",\"lvalue\":true,\"rvalue\":false,\"count\":1},{\"name\":\"_inline_4_arg2_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_4_arg3_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_4_arg4_\",\"lvalue\":false,\"rvalue\":false,\"count\":0}],\"thisVars\":[\"this_warped\"],\"localVars\":[]},\"post\":{\"body\":\"{}\",\"args\":[],\"thisVars\":[],\"localVars\":[]},\"debug\":false,\"funcName\":\"warpND\",\"blockSize\":64})\n\nvar do_warp_1 = _dereq_('cwise/lib/wrapper')({\"args\":[\"index\",\"array\",\"scalar\",\"scalar\",\"scalar\"],\"pre\":{\"body\":\"{this_warped=[0]}\",\"args\":[],\"thisVars\":[\"this_warped\"],\"localVars\":[]},\"body\":{\"body\":\"{_inline_7_arg2_(this_warped,_inline_7_arg0_),_inline_7_arg1_=_inline_7_arg3_(_inline_7_arg4_,this_warped[0])}\",\"args\":[{\"name\":\"_inline_7_arg0_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_7_arg1_\",\"lvalue\":true,\"rvalue\":false,\"count\":1},{\"name\":\"_inline_7_arg2_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_7_arg3_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_7_arg4_\",\"lvalue\":false,\"rvalue\":true,\"count\":1}],\"thisVars\":[\"this_warped\"],\"localVars\":[]},\"post\":{\"body\":\"{}\",\"args\":[],\"thisVars\":[],\"localVars\":[]},\"debug\":false,\"funcName\":\"warp1D\",\"blockSize\":64})\n\nvar do_warp_2 = _dereq_('cwise/lib/wrapper')({\"args\":[\"index\",\"array\",\"scalar\",\"scalar\",\"scalar\"],\"pre\":{\"body\":\"{this_warped=[0,0]}\",\"args\":[],\"thisVars\":[\"this_warped\"],\"localVars\":[]},\"body\":{\"body\":\"{_inline_10_arg2_(this_warped,_inline_10_arg0_),_inline_10_arg1_=_inline_10_arg3_(_inline_10_arg4_,this_warped[0],this_warped[1])}\",\"args\":[{\"name\":\"_inline_10_arg0_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_10_arg1_\",\"lvalue\":true,\"rvalue\":false,\"count\":1},{\"name\":\"_inline_10_arg2_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_10_arg3_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_10_arg4_\",\"lvalue\":false,\"rvalue\":true,\"count\":1}],\"thisVars\":[\"this_warped\"],\"localVars\":[]},\"post\":{\"body\":\"{}\",\"args\":[],\"thisVars\":[],\"localVars\":[]},\"debug\":false,\"funcName\":\"warp2D\",\"blockSize\":64})\n\nvar do_warp_3 = _dereq_('cwise/lib/wrapper')({\"args\":[\"index\",\"array\",\"scalar\",\"scalar\",\"scalar\"],\"pre\":{\"body\":\"{this_warped=[0,0,0]}\",\"args\":[],\"thisVars\":[\"this_warped\"],\"localVars\":[]},\"body\":{\"body\":\"{_inline_13_arg2_(this_warped,_inline_13_arg0_),_inline_13_arg1_=_inline_13_arg3_(_inline_13_arg4_,this_warped[0],this_warped[1],this_warped[2])}\",\"args\":[{\"name\":\"_inline_13_arg0_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_13_arg1_\",\"lvalue\":true,\"rvalue\":false,\"count\":1},{\"name\":\"_inline_13_arg2_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_13_arg3_\",\"lvalue\":false,\"rvalue\":true,\"count\":1},{\"name\":\"_inline_13_arg4_\",\"lvalue\":false,\"rvalue\":true,\"count\":1}],\"thisVars\":[\"this_warped\"],\"localVars\":[]},\"post\":{\"body\":\"{}\",\"args\":[],\"thisVars\":[],\"localVars\":[]},\"debug\":false,\"funcName\":\"warp3D\",\"blockSize\":64})\n\nmodule.exports = function warp(dest, src, func) {\n  switch(src.shape.length) {\n    case 1:\n      do_warp_1(dest, func, interp.d1, src)\n      break\n    case 2:\n      do_warp_2(dest, func, interp.d2, src)\n      break\n    case 3:\n      do_warp_3(dest, func, interp.d3, src)\n      break\n    default:\n      do_warp(dest, func, interp.bind(undefined, src), src.shape.length)\n      break\n  }\n  return dest\n}\n\n},{\"cwise/lib/wrapper\":137,\"ndarray-linear-interpolate\":426}],433:[function(_dereq_,module,exports){\nvar iota = _dereq_(\"iota-array\")\nvar isBuffer = _dereq_(\"is-buffer\")\n\nvar hasTypedArrays  = ((typeof Float64Array) !== \"undefined\")\n\nfunction compare1st(a, b) {\n  return a[0] - b[0]\n}\n\nfunction order() {\n  var stride = this.stride\n  var terms = new Array(stride.length)\n  var i\n  for(i=0; i<terms.length; ++i) {\n    terms[i] = [Math.abs(stride[i]), i]\n  }\n  terms.sort(compare1st)\n  var result = new Array(terms.length)\n  for(i=0; i<result.length; ++i) {\n    result[i] = terms[i][1]\n  }\n  return result\n}\n\nfunction compileConstructor(dtype, dimension) {\n  var className = [\"View\", dimension, \"d\", dtype].join(\"\")\n  if(dimension < 0) {\n    className = \"View_Nil\" + dtype\n  }\n  var useGetters = (dtype === \"generic\")\n\n  if(dimension === -1) {\n    //Special case for trivial arrays\n    var code =\n      \"function \"+className+\"(a){this.data=a;};\\\nvar proto=\"+className+\".prototype;\\\nproto.dtype='\"+dtype+\"';\\\nproto.index=function(){return -1};\\\nproto.size=0;\\\nproto.dimension=-1;\\\nproto.shape=proto.stride=proto.order=[];\\\nproto.lo=proto.hi=proto.transpose=proto.step=\\\nfunction(){return new \"+className+\"(this.data);};\\\nproto.get=proto.set=function(){};\\\nproto.pick=function(){return null};\\\nreturn function construct_\"+className+\"(a){return new \"+className+\"(a);}\"\n    var procedure = new Function(code)\n    return procedure()\n  } else if(dimension === 0) {\n    //Special case for 0d arrays\n    var code =\n      \"function \"+className+\"(a,d) {\\\nthis.data = a;\\\nthis.offset = d\\\n};\\\nvar proto=\"+className+\".prototype;\\\nproto.dtype='\"+dtype+\"';\\\nproto.index=function(){return this.offset};\\\nproto.dimension=0;\\\nproto.size=1;\\\nproto.shape=\\\nproto.stride=\\\nproto.order=[];\\\nproto.lo=\\\nproto.hi=\\\nproto.transpose=\\\nproto.step=function \"+className+\"_copy() {\\\nreturn new \"+className+\"(this.data,this.offset)\\\n};\\\nproto.pick=function \"+className+\"_pick(){\\\nreturn TrivialArray(this.data);\\\n};\\\nproto.valueOf=proto.get=function \"+className+\"_get(){\\\nreturn \"+(useGetters ? \"this.data.get(this.offset)\" : \"this.data[this.offset]\")+\n\"};\\\nproto.set=function \"+className+\"_set(v){\\\nreturn \"+(useGetters ? \"this.data.set(this.offset,v)\" : \"this.data[this.offset]=v\")+\"\\\n};\\\nreturn function construct_\"+className+\"(a,b,c,d){return new \"+className+\"(a,d)}\"\n    var procedure = new Function(\"TrivialArray\", code)\n    return procedure(CACHED_CONSTRUCTORS[dtype][0])\n  }\n\n  var code = [\"'use strict'\"]\n\n  //Create constructor for view\n  var indices = iota(dimension)\n  var args = indices.map(function(i) { return \"i\"+i })\n  var index_str = \"this.offset+\" + indices.map(function(i) {\n        return \"this.stride[\" + i + \"]*i\" + i\n      }).join(\"+\")\n  var shapeArg = indices.map(function(i) {\n      return \"b\"+i\n    }).join(\",\")\n  var strideArg = indices.map(function(i) {\n      return \"c\"+i\n    }).join(\",\")\n  code.push(\n    \"function \"+className+\"(a,\" + shapeArg + \",\" + strideArg + \",d){this.data=a\",\n      \"this.shape=[\" + shapeArg + \"]\",\n      \"this.stride=[\" + strideArg + \"]\",\n      \"this.offset=d|0}\",\n    \"var proto=\"+className+\".prototype\",\n    \"proto.dtype='\"+dtype+\"'\",\n    \"proto.dimension=\"+dimension)\n\n  //view.size:\n  code.push(\"Object.defineProperty(proto,'size',{get:function \"+className+\"_size(){\\\nreturn \"+indices.map(function(i) { return \"this.shape[\"+i+\"]\" }).join(\"*\"),\n\"}})\")\n\n  //view.order:\n  if(dimension === 1) {\n    code.push(\"proto.order=[0]\")\n  } else {\n    code.push(\"Object.defineProperty(proto,'order',{get:\")\n    if(dimension < 4) {\n      code.push(\"function \"+className+\"_order(){\")\n      if(dimension === 2) {\n        code.push(\"return (Math.abs(this.stride[0])>Math.abs(this.stride[1]))?[1,0]:[0,1]}})\")\n      } else if(dimension === 3) {\n        code.push(\n\"var s0=Math.abs(this.stride[0]),s1=Math.abs(this.stride[1]),s2=Math.abs(this.stride[2]);\\\nif(s0>s1){\\\nif(s1>s2){\\\nreturn [2,1,0];\\\n}else if(s0>s2){\\\nreturn [1,2,0];\\\n}else{\\\nreturn [1,0,2];\\\n}\\\n}else if(s0>s2){\\\nreturn [2,0,1];\\\n}else if(s2>s1){\\\nreturn [0,1,2];\\\n}else{\\\nreturn [0,2,1];\\\n}}})\")\n      }\n    } else {\n      code.push(\"ORDER})\")\n    }\n  }\n\n  //view.set(i0, ..., v):\n  code.push(\n\"proto.set=function \"+className+\"_set(\"+args.join(\",\")+\",v){\")\n  if(useGetters) {\n    code.push(\"return this.data.set(\"+index_str+\",v)}\")\n  } else {\n    code.push(\"return this.data[\"+index_str+\"]=v}\")\n  }\n\n  //view.get(i0, ...):\n  code.push(\"proto.get=function \"+className+\"_get(\"+args.join(\",\")+\"){\")\n  if(useGetters) {\n    code.push(\"return this.data.get(\"+index_str+\")}\")\n  } else {\n    code.push(\"return this.data[\"+index_str+\"]}\")\n  }\n\n  //view.index:\n  code.push(\n    \"proto.index=function \"+className+\"_index(\", args.join(), \"){return \"+index_str+\"}\")\n\n  //view.hi():\n  code.push(\"proto.hi=function \"+className+\"_hi(\"+args.join(\",\")+\"){return new \"+className+\"(this.data,\"+\n    indices.map(function(i) {\n      return [\"(typeof i\",i,\"!=='number'||i\",i,\"<0)?this.shape[\", i, \"]:i\", i,\"|0\"].join(\"\")\n    }).join(\",\")+\",\"+\n    indices.map(function(i) {\n      return \"this.stride[\"+i + \"]\"\n    }).join(\",\")+\",this.offset)}\")\n\n  //view.lo():\n  var a_vars = indices.map(function(i) { return \"a\"+i+\"=this.shape[\"+i+\"]\" })\n  var c_vars = indices.map(function(i) { return \"c\"+i+\"=this.stride[\"+i+\"]\" })\n  code.push(\"proto.lo=function \"+className+\"_lo(\"+args.join(\",\")+\"){var b=this.offset,d=0,\"+a_vars.join(\",\")+\",\"+c_vars.join(\",\"))\n  for(var i=0; i<dimension; ++i) {\n    code.push(\n\"if(typeof i\"+i+\"==='number'&&i\"+i+\">=0){\\\nd=i\"+i+\"|0;\\\nb+=c\"+i+\"*d;\\\na\"+i+\"-=d}\")\n  }\n  code.push(\"return new \"+className+\"(this.data,\"+\n    indices.map(function(i) {\n      return \"a\"+i\n    }).join(\",\")+\",\"+\n    indices.map(function(i) {\n      return \"c\"+i\n    }).join(\",\")+\",b)}\")\n\n  //view.step():\n  code.push(\"proto.step=function \"+className+\"_step(\"+args.join(\",\")+\"){var \"+\n    indices.map(function(i) {\n      return \"a\"+i+\"=this.shape[\"+i+\"]\"\n    }).join(\",\")+\",\"+\n    indices.map(function(i) {\n      return \"b\"+i+\"=this.stride[\"+i+\"]\"\n    }).join(\",\")+\",c=this.offset,d=0,ceil=Math.ceil\")\n  for(var i=0; i<dimension; ++i) {\n    code.push(\n\"if(typeof i\"+i+\"==='number'){\\\nd=i\"+i+\"|0;\\\nif(d<0){\\\nc+=b\"+i+\"*(a\"+i+\"-1);\\\na\"+i+\"=ceil(-a\"+i+\"/d)\\\n}else{\\\na\"+i+\"=ceil(a\"+i+\"/d)\\\n}\\\nb\"+i+\"*=d\\\n}\")\n  }\n  code.push(\"return new \"+className+\"(this.data,\"+\n    indices.map(function(i) {\n      return \"a\" + i\n    }).join(\",\")+\",\"+\n    indices.map(function(i) {\n      return \"b\" + i\n    }).join(\",\")+\",c)}\")\n\n  //view.transpose():\n  var tShape = new Array(dimension)\n  var tStride = new Array(dimension)\n  for(var i=0; i<dimension; ++i) {\n    tShape[i] = \"a[i\"+i+\"]\"\n    tStride[i] = \"b[i\"+i+\"]\"\n  }\n  code.push(\"proto.transpose=function \"+className+\"_transpose(\"+args+\"){\"+\n    args.map(function(n,idx) { return n + \"=(\" + n + \"===undefined?\" + idx + \":\" + n + \"|0)\"}).join(\";\"),\n    \"var a=this.shape,b=this.stride;return new \"+className+\"(this.data,\"+tShape.join(\",\")+\",\"+tStride.join(\",\")+\",this.offset)}\")\n\n  //view.pick():\n  code.push(\"proto.pick=function \"+className+\"_pick(\"+args+\"){var a=[],b=[],c=this.offset\")\n  for(var i=0; i<dimension; ++i) {\n    code.push(\"if(typeof i\"+i+\"==='number'&&i\"+i+\">=0){c=(c+this.stride[\"+i+\"]*i\"+i+\")|0}else{a.push(this.shape[\"+i+\"]);b.push(this.stride[\"+i+\"])}\")\n  }\n  code.push(\"var ctor=CTOR_LIST[a.length+1];return ctor(this.data,a,b,c)}\")\n\n  //Add return statement\n  code.push(\"return function construct_\"+className+\"(data,shape,stride,offset){return new \"+className+\"(data,\"+\n    indices.map(function(i) {\n      return \"shape[\"+i+\"]\"\n    }).join(\",\")+\",\"+\n    indices.map(function(i) {\n      return \"stride[\"+i+\"]\"\n    }).join(\",\")+\",offset)}\")\n\n  //Compile procedure\n  var procedure = new Function(\"CTOR_LIST\", \"ORDER\", code.join(\"\\n\"))\n  return procedure(CACHED_CONSTRUCTORS[dtype], order)\n}\n\nfunction arrayDType(data) {\n  if(isBuffer(data)) {\n    return \"buffer\"\n  }\n  if(hasTypedArrays) {\n    switch(Object.prototype.toString.call(data)) {\n      case \"[object Float64Array]\":\n        return \"float64\"\n      case \"[object Float32Array]\":\n        return \"float32\"\n      case \"[object Int8Array]\":\n        return \"int8\"\n      case \"[object Int16Array]\":\n        return \"int16\"\n      case \"[object Int32Array]\":\n        return \"int32\"\n      case \"[object Uint8Array]\":\n        return \"uint8\"\n      case \"[object Uint16Array]\":\n        return \"uint16\"\n      case \"[object Uint32Array]\":\n        return \"uint32\"\n      case \"[object Uint8ClampedArray]\":\n        return \"uint8_clamped\"\n    }\n  }\n  if(Array.isArray(data)) {\n    return \"array\"\n  }\n  return \"generic\"\n}\n\nvar CACHED_CONSTRUCTORS = {\n  \"float32\":[],\n  \"float64\":[],\n  \"int8\":[],\n  \"int16\":[],\n  \"int32\":[],\n  \"uint8\":[],\n  \"uint16\":[],\n  \"uint32\":[],\n  \"array\":[],\n  \"uint8_clamped\":[],\n  \"buffer\":[],\n  \"generic\":[]\n}\n\n;(function() {\n  for(var id in CACHED_CONSTRUCTORS) {\n    CACHED_CONSTRUCTORS[id].push(compileConstructor(id, -1))\n  }\n});\n\nfunction wrappedNDArrayCtor(data, shape, stride, offset) {\n  if(data === undefined) {\n    var ctor = CACHED_CONSTRUCTORS.array[0]\n    return ctor([])\n  } else if(typeof data === \"number\") {\n    data = [data]\n  }\n  if(shape === undefined) {\n    shape = [ data.length ]\n  }\n  var d = shape.length\n  if(stride === undefined) {\n    stride = new Array(d)\n    for(var i=d-1, sz=1; i>=0; --i) {\n      stride[i] = sz\n      sz *= shape[i]\n    }\n  }\n  if(offset === undefined) {\n    offset = 0\n    for(var i=0; i<d; ++i) {\n      if(stride[i] < 0) {\n        offset -= (shape[i]-1)*stride[i]\n      }\n    }\n  }\n  var dtype = arrayDType(data)\n  var ctor_list = CACHED_CONSTRUCTORS[dtype]\n  while(ctor_list.length <= d+1) {\n    ctor_list.push(compileConstructor(dtype, ctor_list.length-1))\n  }\n  var ctor = ctor_list[d+1]\n  return ctor(data, shape, stride, offset)\n}\n\nmodule.exports = wrappedNDArrayCtor\n\n},{\"iota-array\":399,\"is-buffer\":401}],434:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar doubleBits = _dereq_(\"double-bits\")\n\nvar SMALLEST_DENORM = Math.pow(2, -1074)\nvar UINT_MAX = (-1)>>>0\n\nmodule.exports = nextafter\n\nfunction nextafter(x, y) {\n  if(isNaN(x) || isNaN(y)) {\n    return NaN\n  }\n  if(x === y) {\n    return x\n  }\n  if(x === 0) {\n    if(y < 0) {\n      return -SMALLEST_DENORM\n    } else {\n      return SMALLEST_DENORM\n    }\n  }\n  var hi = doubleBits.hi(x)\n  var lo = doubleBits.lo(x)\n  if((y > x) === (x > 0)) {\n    if(lo === UINT_MAX) {\n      hi += 1\n      lo = 0\n    } else {\n      lo += 1\n    }\n  } else {\n    if(lo === 0) {\n      lo = UINT_MAX\n      hi -= 1\n    } else {\n      lo -= 1\n    }\n  }\n  return doubleBits.pack(lo, hi)\n}\n},{\"double-bits\":152}],435:[function(_dereq_,module,exports){\n\nvar π = Math.PI\nvar _120 = radians(120)\n\nmodule.exports = normalize\n\n/**\n * describe `path` in terms of cubic bézier \n * curves and move commands\n *\n * @param {Array} path\n * @return {Array}\n */\n\nfunction normalize(path){\n\t// init state\n\tvar prev\n\tvar result = []\n\tvar bezierX = 0\n\tvar bezierY = 0\n\tvar startX = 0\n\tvar startY = 0\n\tvar quadX = null\n\tvar quadY = null\n\tvar x = 0\n\tvar y = 0\n\n\tfor (var i = 0, len = path.length; i < len; i++) {\n\t\tvar seg = path[i]\n\t\tvar command = seg[0]\n\t\tswitch (command) {\n\t\t\tcase 'M':\n\t\t\t\tstartX = seg[1]\n\t\t\t\tstartY = seg[2]\n\t\t\t\tbreak\n\t\t\tcase 'A':\n\t\t\t\tseg = arc(x, y,seg[1],seg[2],radians(seg[3]),seg[4],seg[5],seg[6],seg[7])\n\t\t\t\t// split multi part\n\t\t\t\tseg.unshift('C')\n\t\t\t\tif (seg.length > 7) {\n\t\t\t\t\tresult.push(seg.splice(0, 7))\n\t\t\t\t\tseg.unshift('C')\n\t\t\t\t}\n\t\t\t\tbreak\n\t\t\tcase 'S':\n\t\t\t\t// default control point\n\t\t\t\tvar cx = x\n\t\t\t\tvar cy = y\n\t\t\t\tif (prev == 'C' || prev == 'S') {\n\t\t\t\t\tcx += cx - bezierX // reflect the previous command's control\n\t\t\t\t\tcy += cy - bezierY // point relative to the current point\n\t\t\t\t}\n\t\t\t\tseg = ['C', cx, cy, seg[1], seg[2], seg[3], seg[4]]\n\t\t\t\tbreak\n\t\t\tcase 'T':\n\t\t\t\tif (prev == 'Q' || prev == 'T') {\n\t\t\t\t\tquadX = x * 2 - quadX // as with 'S' reflect previous control point\n\t\t\t\t\tquadY = y * 2 - quadY\n\t\t\t\t} else {\n\t\t\t\t\tquadX = x\n\t\t\t\t\tquadY = y\n\t\t\t\t}\n\t\t\t\tseg = quadratic(x, y, quadX, quadY, seg[1], seg[2])\n\t\t\t\tbreak\n\t\t\tcase 'Q':\n\t\t\t\tquadX = seg[1]\n\t\t\t\tquadY = seg[2]\n\t\t\t\tseg = quadratic(x, y, seg[1], seg[2], seg[3], seg[4])\n\t\t\t\tbreak\n\t\t\tcase 'L':\n\t\t\t\tseg = line(x, y, seg[1], seg[2])\n\t\t\t\tbreak\n\t\t\tcase 'H':\n\t\t\t\tseg = line(x, y, seg[1], y)\n\t\t\t\tbreak\n\t\t\tcase 'V':\n\t\t\t\tseg = line(x, y, x, seg[1])\n\t\t\t\tbreak\n\t\t\tcase 'Z':\n\t\t\t\tseg = line(x, y, startX, startY)\n\t\t\t\tbreak\n\t\t}\n\n\t\t// update state\n\t\tprev = command\n\t\tx = seg[seg.length - 2]\n\t\ty = seg[seg.length - 1]\n\t\tif (seg.length > 4) {\n\t\t\tbezierX = seg[seg.length - 4]\n\t\t\tbezierY = seg[seg.length - 3]\n\t\t} else {\n\t\t\tbezierX = x\n\t\t\tbezierY = y\n\t\t}\n\t\tresult.push(seg)\n\t}\n\n\treturn result\n}\n\nfunction line(x1, y1, x2, y2){\n\treturn ['C', x1, y1, x2, y2, x2, y2]\n}\n\nfunction quadratic(x1, y1, cx, cy, x2, y2){\n\treturn [\n\t\t'C',\n\t\tx1/3 + (2/3) * cx,\n\t\ty1/3 + (2/3) * cy,\n\t\tx2/3 + (2/3) * cx,\n\t\ty2/3 + (2/3) * cy,\n\t\tx2,\n\t\ty2\n\t]\n}\n\n// This function is ripped from \n// github.com/DmitryBaranovskiy/raphael/blob/4d97d4/raphael.js#L2216-L2304 \n// which references w3.org/TR/SVG11/implnote.html#ArcImplementationNotes\n// TODO: make it human readable\n\nfunction arc(x1, y1, rx, ry, angle, large_arc_flag, sweep_flag, x2, y2, recursive) {\n\tif (!recursive) {\n\t\tvar xy = rotate(x1, y1, -angle)\n\t\tx1 = xy.x\n\t\ty1 = xy.y\n\t\txy = rotate(x2, y2, -angle)\n\t\tx2 = xy.x\n\t\ty2 = xy.y\n\t\tvar x = (x1 - x2) / 2\n\t\tvar y = (y1 - y2) / 2\n\t\tvar h = (x * x) / (rx * rx) + (y * y) / (ry * ry)\n\t\tif (h > 1) {\n\t\t\th = Math.sqrt(h)\n\t\t\trx = h * rx\n\t\t\try = h * ry\n\t\t}\n\t\tvar rx2 = rx * rx\n\t\tvar ry2 = ry * ry\n\t\tvar k = (large_arc_flag == sweep_flag ? -1 : 1)\n\t\t\t* Math.sqrt(Math.abs((rx2 * ry2 - rx2 * y * y - ry2 * x * x) / (rx2 * y * y + ry2 * x * x)))\n\t\tif (k == Infinity) k = 1 // neutralize\n\t\tvar cx = k * rx * y / ry + (x1 + x2) / 2\n\t\tvar cy = k * -ry * x / rx + (y1 + y2) / 2\n\t\tvar f1 = Math.asin(((y1 - cy) / ry).toFixed(9))\n\t\tvar f2 = Math.asin(((y2 - cy) / ry).toFixed(9))\n\n\t\tf1 = x1 < cx ? π - f1 : f1\n\t\tf2 = x2 < cx ? π - f2 : f2\n\t\tif (f1 < 0) f1 = π * 2 + f1\n\t\tif (f2 < 0) f2 = π * 2 + f2\n\t\tif (sweep_flag && f1 > f2) f1 = f1 - π * 2\n\t\tif (!sweep_flag && f2 > f1) f2 = f2 - π * 2\n\t} else {\n\t\tf1 = recursive[0]\n\t\tf2 = recursive[1]\n\t\tcx = recursive[2]\n\t\tcy = recursive[3]\n\t}\n\t// greater than 120 degrees requires multiple segments\n\tif (Math.abs(f2 - f1) > _120) {\n\t\tvar f2old = f2\n\t\tvar x2old = x2\n\t\tvar y2old = y2\n\t\tf2 = f1 + _120 * (sweep_flag && f2 > f1 ? 1 : -1)\n\t\tx2 = cx + rx * Math.cos(f2)\n\t\ty2 = cy + ry * Math.sin(f2)\n\t\tvar res = arc(x2, y2, rx, ry, angle, 0, sweep_flag, x2old, y2old, [f2, f2old, cx, cy])\n\t}\n\tvar t = Math.tan((f2 - f1) / 4)\n\tvar hx = 4 / 3 * rx * t\n\tvar hy = 4 / 3 * ry * t\n\tvar curve = [\n\t\t2 * x1 - (x1 + hx * Math.sin(f1)),\n\t\t2 * y1 - (y1 - hy * Math.cos(f1)),\n\t\tx2 + hx * Math.sin(f2),\n\t\ty2 - hy * Math.cos(f2),\n\t\tx2,\n\t\ty2\n\t]\n\tif (recursive) return curve\n\tif (res) curve = curve.concat(res)\n\tfor (var i = 0; i < curve.length;) {\n\t\tvar rot = rotate(curve[i], curve[i+1], angle)\n\t\tcurve[i++] = rot.x\n\t\tcurve[i++] = rot.y\n\t}\n\treturn curve\n}\n\nfunction rotate(x, y, rad){\n\treturn {\n\t\tx: x * Math.cos(rad) - y * Math.sin(rad),\n\t\ty: x * Math.sin(rad) + y * Math.cos(rad)\n\t}\n}\n\nfunction radians(degress){\n\treturn degress * (π / 180)\n}\n\n},{}],436:[function(_dereq_,module,exports){\nvar DEFAULT_NORMALS_EPSILON = 1e-6;\nvar DEFAULT_FACE_EPSILON = 1e-6;\n\n//Estimate the vertex normals of a mesh\nexports.vertexNormals = function(faces, positions, specifiedEpsilon) {\n\n  var N         = positions.length;\n  var normals   = new Array(N);\n  var epsilon   = specifiedEpsilon === void(0) ? DEFAULT_NORMALS_EPSILON : specifiedEpsilon;\n\n  //Initialize normal array\n  for(var i=0; i<N; ++i) {\n    normals[i] = [0.0, 0.0, 0.0];\n  }\n\n  //Walk over all the faces and add per-vertex contribution to normal weights\n  for(var i=0; i<faces.length; ++i) {\n    var f = faces[i];\n    var p = 0;\n    var c = f[f.length-1];\n    var n = f[0];\n    for(var j=0; j<f.length; ++j) {\n\n      //Shift indices back\n      p = c;\n      c = n;\n      n = f[(j+1) % f.length];\n\n      var v0 = positions[p];\n      var v1 = positions[c];\n      var v2 = positions[n];\n\n      //Compute infineteismal arcs\n      var d01 = new Array(3);\n      var m01 = 0.0;\n      var d21 = new Array(3);\n      var m21 = 0.0;\n      for(var k=0; k<3; ++k) {\n        d01[k] = v0[k]  - v1[k];\n        m01   += d01[k] * d01[k];\n        d21[k] = v2[k]  - v1[k];\n        m21   += d21[k] * d21[k];\n      }\n\n      //Accumulate values in normal\n      if(m01 * m21 > epsilon) {\n        var norm = normals[c];\n        var w = 1.0 / Math.sqrt(m01 * m21);\n        for(var k=0; k<3; ++k) {\n          var u = (k+1)%3;\n          var v = (k+2)%3;\n          norm[k] += w * (d21[u] * d01[v] - d21[v] * d01[u]);\n        }\n      }\n    }\n  }\n\n  //Scale all normals to unit length\n  for(var i=0; i<N; ++i) {\n    var norm = normals[i];\n    var m = 0.0;\n    for(var k=0; k<3; ++k) {\n      m += norm[k] * norm[k];\n    }\n    if(m > epsilon) {\n      var w = 1.0 / Math.sqrt(m);\n      for(var k=0; k<3; ++k) {\n        norm[k] *= w;\n      }\n    } else {\n      for(var k=0; k<3; ++k) {\n        norm[k] = 0.0;\n      }\n    }\n  }\n\n  //Return the resulting set of patches\n  return normals;\n}\n\n//Compute face normals of a mesh\nexports.faceNormals = function(faces, positions, specifiedEpsilon) {\n\n  var N         = faces.length;\n  var normals   = new Array(N);\n  var epsilon   = specifiedEpsilon === void(0) ? DEFAULT_FACE_EPSILON : specifiedEpsilon;\n\n  for(var i=0; i<N; ++i) {\n    var f = faces[i];\n    var pos = new Array(3);\n    for(var j=0; j<3; ++j) {\n      pos[j] = positions[f[j]];\n    }\n\n    var d01 = new Array(3);\n    var d21 = new Array(3);\n    for(var j=0; j<3; ++j) {\n      d01[j] = pos[1][j] - pos[0][j];\n      d21[j] = pos[2][j] - pos[0][j];\n    }\n\n    var n = new Array(3);\n    var l = 0.0;\n    for(var j=0; j<3; ++j) {\n      var u = (j+1)%3;\n      var v = (j+2)%3;\n      n[j] = d01[u] * d21[v] - d01[v] * d21[u];\n      l += n[j] * n[j];\n    }\n    if(l > epsilon) {\n      l = 1.0 / Math.sqrt(l);\n    } else {\n      l = 0.0;\n    }\n    for(var j=0; j<3; ++j) {\n      n[j] *= l;\n    }\n    normals[i] = n;\n  }\n  return normals;\n}\n\n\n\n},{}],437:[function(_dereq_,module,exports){\n/*\nobject-assign\n(c) Sindre Sorhus\n@license MIT\n*/\n\n'use strict';\n/* eslint-disable no-unused-vars */\nvar getOwnPropertySymbols = Object.getOwnPropertySymbols;\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\nvar propIsEnumerable = Object.prototype.propertyIsEnumerable;\n\nfunction toObject(val) {\n\tif (val === null || val === undefined) {\n\t\tthrow new TypeError('Object.assign cannot be called with null or undefined');\n\t}\n\n\treturn Object(val);\n}\n\nfunction shouldUseNative() {\n\ttry {\n\t\tif (!Object.assign) {\n\t\t\treturn false;\n\t\t}\n\n\t\t// Detect buggy property enumeration order in older V8 versions.\n\n\t\t// https://bugs.chromium.org/p/v8/issues/detail?id=4118\n\t\tvar test1 = new String('abc');  // eslint-disable-line no-new-wrappers\n\t\ttest1[5] = 'de';\n\t\tif (Object.getOwnPropertyNames(test1)[0] === '5') {\n\t\t\treturn false;\n\t\t}\n\n\t\t// https://bugs.chromium.org/p/v8/issues/detail?id=3056\n\t\tvar test2 = {};\n\t\tfor (var i = 0; i < 10; i++) {\n\t\t\ttest2['_' + String.fromCharCode(i)] = i;\n\t\t}\n\t\tvar order2 = Object.getOwnPropertyNames(test2).map(function (n) {\n\t\t\treturn test2[n];\n\t\t});\n\t\tif (order2.join('') !== '0123456789') {\n\t\t\treturn false;\n\t\t}\n\n\t\t// https://bugs.chromium.org/p/v8/issues/detail?id=3056\n\t\tvar test3 = {};\n\t\t'abcdefghijklmnopqrst'.split('').forEach(function (letter) {\n\t\t\ttest3[letter] = letter;\n\t\t});\n\t\tif (Object.keys(Object.assign({}, test3)).join('') !==\n\t\t\t\t'abcdefghijklmnopqrst') {\n\t\t\treturn false;\n\t\t}\n\n\t\treturn true;\n\t} catch (err) {\n\t\t// We don't expect any of the above to throw, but better to be safe.\n\t\treturn false;\n\t}\n}\n\nmodule.exports = shouldUseNative() ? Object.assign : function (target, source) {\n\tvar from;\n\tvar to = toObject(target);\n\tvar symbols;\n\n\tfor (var s = 1; s < arguments.length; s++) {\n\t\tfrom = Object(arguments[s]);\n\n\t\tfor (var key in from) {\n\t\t\tif (hasOwnProperty.call(from, key)) {\n\t\t\t\tto[key] = from[key];\n\t\t\t}\n\t\t}\n\n\t\tif (getOwnPropertySymbols) {\n\t\t\tsymbols = getOwnPropertySymbols(from);\n\t\t\tfor (var i = 0; i < symbols.length; i++) {\n\t\t\t\tif (propIsEnumerable.call(from, symbols[i])) {\n\t\t\t\t\tto[symbols[i]] = from[symbols[i]];\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn to;\n};\n\n},{}],438:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = quatFromFrame\n\nfunction quatFromFrame(\n  out,\n  rx, ry, rz,\n  ux, uy, uz,\n  fx, fy, fz) {\n  var tr = rx + uy + fz\n  if(l > 0) {\n    var l = Math.sqrt(tr + 1.0)\n    out[0] = 0.5 * (uz - fy) / l\n    out[1] = 0.5 * (fx - rz) / l\n    out[2] = 0.5 * (ry - uy) / l\n    out[3] = 0.5 * l\n  } else {\n    var tf = Math.max(rx, uy, fz)\n    var l = Math.sqrt(2 * tf - tr + 1.0)\n    if(rx >= tf) {\n      //x y z  order\n      out[0] = 0.5 * l\n      out[1] = 0.5 * (ux + ry) / l\n      out[2] = 0.5 * (fx + rz) / l\n      out[3] = 0.5 * (uz - fy) / l\n    } else if(uy >= tf) {\n      //y z x  order\n      out[0] = 0.5 * (ry + ux) / l\n      out[1] = 0.5 * l\n      out[2] = 0.5 * (fy + uz) / l\n      out[3] = 0.5 * (fx - rz) / l\n    } else {\n      //z x y  order\n      out[0] = 0.5 * (rz + fx) / l\n      out[1] = 0.5 * (uz + fy) / l\n      out[2] = 0.5 * l\n      out[3] = 0.5 * (ry - ux) / l\n    }\n  }\n  return out\n}\n},{}],439:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = createOrbitController\n\nvar filterVector  = _dereq_('filtered-vector')\nvar lookAt        = _dereq_('gl-mat4/lookAt')\nvar mat4FromQuat  = _dereq_('gl-mat4/fromQuat')\nvar invert44      = _dereq_('gl-mat4/invert')\nvar quatFromFrame = _dereq_('./lib/quatFromFrame')\n\nfunction len3(x,y,z) {\n  return Math.sqrt(Math.pow(x,2) + Math.pow(y,2) + Math.pow(z,2))\n}\n\nfunction len4(w,x,y,z) {\n  return Math.sqrt(Math.pow(w,2) + Math.pow(x,2) + Math.pow(y,2) + Math.pow(z,2))\n}\n\nfunction normalize4(out, a) {\n  var ax = a[0]\n  var ay = a[1]\n  var az = a[2]\n  var aw = a[3]\n  var al = len4(ax, ay, az, aw)\n  if(al > 1e-6) {\n    out[0] = ax/al\n    out[1] = ay/al\n    out[2] = az/al\n    out[3] = aw/al\n  } else {\n    out[0] = out[1] = out[2] = 0.0\n    out[3] = 1.0\n  }\n}\n\nfunction OrbitCameraController(initQuat, initCenter, initRadius) {\n  this.radius    = filterVector([initRadius])\n  this.center    = filterVector(initCenter)\n  this.rotation  = filterVector(initQuat)\n\n  this.computedRadius   = this.radius.curve(0)\n  this.computedCenter   = this.center.curve(0)\n  this.computedRotation = this.rotation.curve(0)\n  this.computedUp       = [0.1,0,0]\n  this.computedEye      = [0.1,0,0]\n  this.computedMatrix   = [0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n\n  this.recalcMatrix(0)\n}\n\nvar proto = OrbitCameraController.prototype\n\nproto.lastT = function() {\n  return Math.max(\n    this.radius.lastT(),\n    this.center.lastT(),\n    this.rotation.lastT())\n}\n\nproto.recalcMatrix = function(t) {\n  this.radius.curve(t)\n  this.center.curve(t)\n  this.rotation.curve(t)\n\n  var quat = this.computedRotation\n  normalize4(quat, quat)\n\n  var mat = this.computedMatrix\n  mat4FromQuat(mat, quat)\n\n  var center = this.computedCenter\n  var eye    = this.computedEye\n  var up     = this.computedUp\n  var radius = Math.exp(this.computedRadius[0])\n\n  eye[0] = center[0] + radius * mat[2]\n  eye[1] = center[1] + radius * mat[6]\n  eye[2] = center[2] + radius * mat[10]\n  up[0] = mat[1]\n  up[1] = mat[5]\n  up[2] = mat[9]\n\n  for(var i=0; i<3; ++i) {\n    var rr = 0.0\n    for(var j=0; j<3; ++j) {\n      rr += mat[i+4*j] * eye[j]\n    }\n    mat[12+i] = -rr\n  }\n}\n\nproto.getMatrix = function(t, result) {\n  this.recalcMatrix(t)\n  var m = this.computedMatrix\n  if(result) {\n    for(var i=0; i<16; ++i) {\n      result[i] = m[i]\n    }\n    return result\n  }\n  return m\n}\n\nproto.idle = function(t) {\n  this.center.idle(t)\n  this.radius.idle(t)\n  this.rotation.idle(t)\n}\n\nproto.flush = function(t) {\n  this.center.flush(t)\n  this.radius.flush(t)\n  this.rotation.flush(t)\n}\n\nproto.pan = function(t, dx, dy, dz) {\n  dx = dx || 0.0\n  dy = dy || 0.0\n  dz = dz || 0.0\n\n  this.recalcMatrix(t)\n  var mat = this.computedMatrix\n\n  var ux = mat[1]\n  var uy = mat[5]\n  var uz = mat[9]\n  var ul = len3(ux, uy, uz)\n  ux /= ul\n  uy /= ul\n  uz /= ul\n\n  var rx = mat[0]\n  var ry = mat[4]\n  var rz = mat[8]\n  var ru = rx * ux + ry * uy + rz * uz\n  rx -= ux * ru\n  ry -= uy * ru\n  rz -= uz * ru\n  var rl = len3(rx, ry, rz)\n  rx /= rl\n  ry /= rl\n  rz /= rl\n\n  var fx = mat[2]\n  var fy = mat[6]\n  var fz = mat[10]\n  var fu = fx * ux + fy * uy + fz * uz\n  var fr = fx * rx + fy * ry + fz * rz\n  fx -= fu * ux + fr * rx\n  fy -= fu * uy + fr * ry\n  fz -= fu * uz + fr * rz\n  var fl = len3(fx, fy, fz)\n  fx /= fl\n  fy /= fl\n  fz /= fl\n\n  var vx = rx * dx + ux * dy\n  var vy = ry * dx + uy * dy\n  var vz = rz * dx + uz * dy\n\n  this.center.move(t, vx, vy, vz)\n\n  //Update z-component of radius\n  var radius = Math.exp(this.computedRadius[0])\n  radius = Math.max(1e-4, radius + dz)\n  this.radius.set(t, Math.log(radius))\n}\n\nproto.rotate = function(t, dx, dy, dz) {\n  this.recalcMatrix(t)\n\n  dx = dx||0.0\n  dy = dy||0.0\n\n  var mat = this.computedMatrix\n\n  var rx = mat[0]\n  var ry = mat[4]\n  var rz = mat[8]\n\n  var ux = mat[1]\n  var uy = mat[5]\n  var uz = mat[9]\n\n  var fx = mat[2]\n  var fy = mat[6]\n  var fz = mat[10]\n\n  var qx = dx * rx + dy * ux\n  var qy = dx * ry + dy * uy\n  var qz = dx * rz + dy * uz\n\n  var bx = -(fy * qz - fz * qy)\n  var by = -(fz * qx - fx * qz)\n  var bz = -(fx * qy - fy * qx)  \n  var bw = Math.sqrt(Math.max(0.0, 1.0 - Math.pow(bx,2) - Math.pow(by,2) - Math.pow(bz,2)))\n  var bl = len4(bx, by, bz, bw)\n  if(bl > 1e-6) {\n    bx /= bl\n    by /= bl\n    bz /= bl\n    bw /= bl\n  } else {\n    bx = by = bz = 0.0\n    bw = 1.0\n  }\n\n  var rotation = this.computedRotation\n  var ax = rotation[0]\n  var ay = rotation[1]\n  var az = rotation[2]\n  var aw = rotation[3]\n\n  var cx = ax*bw + aw*bx + ay*bz - az*by\n  var cy = ay*bw + aw*by + az*bx - ax*bz\n  var cz = az*bw + aw*bz + ax*by - ay*bx\n  var cw = aw*bw - ax*bx - ay*by - az*bz\n  \n  //Apply roll\n  if(dz) {\n    bx = fx\n    by = fy\n    bz = fz\n    var s = Math.sin(dz) / len3(bx, by, bz)\n    bx *= s\n    by *= s\n    bz *= s\n    bw = Math.cos(dx)\n    cx = cx*bw + cw*bx + cy*bz - cz*by\n    cy = cy*bw + cw*by + cz*bx - cx*bz\n    cz = cz*bw + cw*bz + cx*by - cy*bx\n    cw = cw*bw - cx*bx - cy*by - cz*bz\n  }\n\n  var cl = len4(cx, cy, cz, cw)\n  if(cl > 1e-6) {\n    cx /= cl\n    cy /= cl\n    cz /= cl\n    cw /= cl\n  } else {\n    cx = cy = cz = 0.0\n    cw = 1.0\n  }\n\n  this.rotation.set(t, cx, cy, cz, cw)\n}\n\nproto.lookAt = function(t, eye, center, up) {\n  this.recalcMatrix(t)\n\n  center = center || this.computedCenter\n  eye    = eye    || this.computedEye\n  up     = up     || this.computedUp\n\n  var mat = this.computedMatrix\n  lookAt(mat, eye, center, up)\n\n  var rotation = this.computedRotation\n  quatFromFrame(rotation,\n    mat[0], mat[1], mat[2],\n    mat[4], mat[5], mat[6],\n    mat[8], mat[9], mat[10])\n  normalize4(rotation, rotation)\n  this.rotation.set(t, rotation[0], rotation[1], rotation[2], rotation[3])\n\n  var fl = 0.0\n  for(var i=0; i<3; ++i) {\n    fl += Math.pow(center[i] - eye[i], 2)\n  }\n  this.radius.set(t, 0.5 * Math.log(Math.max(fl, 1e-6)))\n\n  this.center.set(t, center[0], center[1], center[2])\n}\n\nproto.translate = function(t, dx, dy, dz) {\n  this.center.move(t,\n    dx||0.0,\n    dy||0.0,\n    dz||0.0)\n}\n\nproto.setMatrix = function(t, matrix) {\n\n  var rotation = this.computedRotation\n  quatFromFrame(rotation,\n    matrix[0], matrix[1], matrix[2],\n    matrix[4], matrix[5], matrix[6],\n    matrix[8], matrix[9], matrix[10])\n  normalize4(rotation, rotation)\n  this.rotation.set(t, rotation[0], rotation[1], rotation[2], rotation[3])\n\n  var mat = this.computedMatrix\n  invert44(mat, matrix)\n  var w = mat[15]\n  if(Math.abs(w) > 1e-6) {\n    var cx = mat[12]/w\n    var cy = mat[13]/w\n    var cz = mat[14]/w\n\n    this.recalcMatrix(t)  \n    var r = Math.exp(this.computedRadius[0])\n    this.center.set(t, cx-mat[2]*r, cy-mat[6]*r, cz-mat[10]*r)\n    this.radius.idle(t)\n  } else {\n    this.center.idle(t)\n    this.radius.idle(t)\n  }\n}\n\nproto.setDistance = function(t, d) {\n  if(d > 0) {\n    this.radius.set(t, Math.log(d))\n  }\n}\n\nproto.setDistanceLimits = function(lo, hi) {\n  if(lo > 0) {\n    lo = Math.log(lo)\n  } else {\n    lo = -Infinity    \n  }\n  if(hi > 0) {\n    hi = Math.log(hi)\n  } else {\n    hi = Infinity\n  }\n  hi = Math.max(hi, lo)\n  this.radius.bounds[0][0] = lo\n  this.radius.bounds[1][0] = hi\n}\n\nproto.getDistanceLimits = function(out) {\n  var bounds = this.radius.bounds\n  if(out) {\n    out[0] = Math.exp(bounds[0][0])\n    out[1] = Math.exp(bounds[1][0])\n    return out\n  }\n  return [ Math.exp(bounds[0][0]), Math.exp(bounds[1][0]) ]\n}\n\nproto.toJSON = function() {\n  this.recalcMatrix(this.lastT())\n  return {\n    center:   this.computedCenter.slice(),\n    rotation: this.computedRotation.slice(),\n    distance: Math.log(this.computedRadius[0]),\n    zoomMin:  this.radius.bounds[0][0],\n    zoomMax:  this.radius.bounds[1][0]\n  }\n}\n\nproto.fromJSON = function(options) {\n  var t = this.lastT()\n  var c = options.center\n  if(c) {\n    this.center.set(t, c[0], c[1], c[2])\n  }\n  var r = options.rotation\n  if(r) {\n    this.rotation.set(t, r[0], r[1], r[2], r[3])\n  }\n  var d = options.distance\n  if(d && d > 0) {\n    this.radius.set(t, Math.log(d))\n  }\n  this.setDistanceLimits(options.zoomMin, options.zoomMax)\n}\n\nfunction createOrbitController(options) {\n  options = options || {}\n  var center   = options.center   || [0,0,0]\n  var rotation = options.rotation || [0,0,0,1]\n  var radius   = options.radius   || 1.0\n\n  center = [].slice.call(center, 0, 3)\n  rotation = [].slice.call(rotation, 0, 4)\n  normalize4(rotation, rotation)\n\n  var result = new OrbitCameraController(\n    rotation,\n    center,\n    Math.log(radius))\n\n  result.setDistanceLimits(options.zoomMin, options.zoomMax)\n\n  if('eye' in options || 'up' in options) {\n    result.lookAt(0, options.eye, options.center, options.up)\n  }\n\n  return result\n}\n},{\"./lib/quatFromFrame\":438,\"filtered-vector\":215,\"gl-mat4/fromQuat\":251,\"gl-mat4/invert\":254,\"gl-mat4/lookAt\":255}],440:[function(_dereq_,module,exports){\n/*!\n * pad-left <https://github.com/jonschlinkert/pad-left>\n *\n * Copyright (c) 2014-2015, Jon Schlinkert.\n * Licensed under the MIT license.\n */\n\n'use strict';\n\nvar repeat = _dereq_('repeat-string');\n\nmodule.exports = function padLeft(str, num, ch) {\n  ch = typeof ch !== 'undefined' ? (ch + '') : ' ';\n  return repeat(ch, num) + str;\n};\n},{\"repeat-string\":479}],441:[function(_dereq_,module,exports){\n'use strict'\r\n\r\n/**\r\n * @module parenthesis\r\n */\r\n\r\nfunction parse (str, opts) {\r\n\t// pretend non-string parsed per-se\r\n\tif (typeof str !== 'string') return [str]\r\n\r\n\tvar res = [str]\r\n\r\n\tif (typeof opts === 'string' || Array.isArray(opts)) {\r\n\t\topts = {brackets: opts}\r\n\t}\r\n\telse if (!opts) opts = {}\r\n\r\n\tvar brackets = opts.brackets ? (Array.isArray(opts.brackets) ? opts.brackets : [opts.brackets]) : ['{}', '[]', '()']\r\n\r\n\tvar escape = opts.escape || '___'\r\n\r\n\tvar flat = !!opts.flat\r\n\r\n\tbrackets.forEach(function (bracket) {\r\n\t\t// create parenthesis regex\r\n\t\tvar pRE = new RegExp(['\\\\', bracket[0], '[^\\\\', bracket[0], '\\\\', bracket[1], ']*\\\\', bracket[1]].join(''))\r\n\r\n\t\tvar ids = []\r\n\r\n\t\tfunction replaceToken(token, idx, str){\r\n\t\t\t// save token to res\r\n\t\t\tvar refId = res.push(token.slice(bracket[0].length, -bracket[1].length)) - 1\r\n\r\n\t\t\tids.push(refId)\r\n\r\n\t\t\treturn escape + refId\r\n\t\t}\r\n\r\n\t\tres.forEach(function (str, i) {\r\n\t\t\tvar prevStr\r\n\r\n\t\t\t// replace paren tokens till there’s none\r\n\t\t\tvar a = 0\r\n\t\t\twhile (str != prevStr) {\r\n\t\t\t\tprevStr = str\r\n\t\t\t\tstr = str.replace(pRE, replaceToken)\r\n\t\t\t\tif (a++ > 10e3) throw Error('References have circular dependency. Please, check them.')\r\n\t\t\t}\r\n\r\n\t\t\tres[i] = str\r\n\t\t})\r\n\r\n\t\t// wrap found refs to brackets\r\n\t\tids = ids.reverse()\r\n\t\tres = res.map(function (str) {\r\n\t\t\tids.forEach(function (id) {\r\n\t\t\t\tstr = str.replace(new RegExp('(\\\\' + escape + id + '(?![0-9]))', 'g'), bracket[0] + '$1' + bracket[1])\r\n\t\t\t})\r\n\t\t\treturn str\r\n\t\t})\r\n\t})\r\n\r\n\tvar re = new RegExp('\\\\' + escape + '([0-9]+)')\r\n\r\n\t// transform references to tree\r\n\tfunction nest (str, refs, escape) {\r\n\t\tvar res = [], match\r\n\r\n\t\tvar a = 0\r\n\t\twhile (match = re.exec(str)) {\r\n\t\t\tif (a++ > 10e3) throw Error('Circular references in parenthesis')\r\n\r\n\t\t\tres.push(str.slice(0, match.index))\r\n\r\n\t\t\tres.push(nest(refs[match[1]], refs))\r\n\r\n\t\t\tstr = str.slice(match.index + match[0].length)\r\n\t\t}\r\n\r\n\t\tres.push(str)\r\n\r\n\t\treturn res\r\n\t}\r\n\r\n\treturn flat ? res : nest(res[0], res)\r\n}\r\n\r\nfunction stringify (arg, opts) {\r\n\tif (opts && opts.flat) {\r\n\t\tvar escape = opts && opts.escape || '___'\r\n\r\n\t\tvar str = arg[0], prevStr\r\n\r\n\t\t// pretend bad string stringified with no parentheses\r\n\t\tif (!str) return ''\r\n\r\n\r\n\t\tvar re = new RegExp('\\\\' + escape + '([0-9]+)')\r\n\r\n\t\tvar a = 0\r\n\t\twhile (str != prevStr) {\r\n\t\t\tif (a++ > 10e3) throw Error('Circular references in ' + arg)\r\n\t\t\tprevStr = str\r\n\t\t\tstr = str.replace(re, replaceRef)\r\n\t\t}\r\n\r\n\t\treturn str\r\n\t}\r\n\r\n\treturn arg.reduce(function f (prev, curr) {\r\n\t\tif (Array.isArray(curr)) {\r\n\t\t\tcurr = curr.reduce(f, '')\r\n\t\t}\r\n\t\treturn prev + curr\r\n\t}, '')\r\n\r\n\tfunction replaceRef(match, idx){\r\n\t\tif (arg[idx] == null) throw Error('Reference ' + idx + 'is undefined')\r\n\t\treturn arg[idx]\r\n\t}\r\n}\r\n\r\nfunction parenthesis (arg, opts) {\r\n\tif (Array.isArray(arg)) {\r\n\t\treturn stringify(arg, opts)\r\n\t}\r\n\telse {\r\n\t\treturn parse(arg, opts)\r\n\t}\r\n}\r\n\r\nparenthesis.parse = parse\r\nparenthesis.stringify = stringify\r\n\r\nmodule.exports = parenthesis\r\n\n},{}],442:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar pick = _dereq_('pick-by-alias')\r\n\r\nmodule.exports = parseRect\r\n\r\nfunction parseRect (arg) {\r\n  var rect\r\n\r\n  // direct arguments sequence\r\n  if (arguments.length > 1) {\r\n    arg = arguments\r\n  }\r\n\r\n  // svg viewbox\r\n  if (typeof arg === 'string') {\r\n    arg = arg.split(/\\s/).map(parseFloat)\r\n  }\r\n  else if (typeof arg === 'number') {\r\n    arg = [arg]\r\n  }\r\n\r\n  // 0, 0, 100, 100 - array-like\r\n  if (arg.length && typeof arg[0] === 'number') {\r\n    // [w, w]\r\n    if (arg.length === 1) {\r\n      rect = {\r\n        width: arg[0],\r\n        height: arg[0],\r\n        x: 0, y: 0\r\n      }\r\n    }\r\n    // [w, h]\r\n    else if (arg.length === 2) {\r\n      rect = {\r\n        width: arg[0],\r\n        height: arg[1],\r\n        x: 0, y: 0\r\n      }\r\n    }\r\n    // [l, t, r, b]\r\n    else {\r\n      rect = {\r\n        x: arg[0],\r\n        y: arg[1],\r\n        width: (arg[2] - arg[0]) || 0,\r\n        height: (arg[3] - arg[1]) || 0\r\n      }\r\n    }\r\n  }\r\n  // {x, y, w, h} or {l, t, b, r}\r\n  else if (arg) {\r\n    arg = pick(arg, {\r\n      left: 'x l left Left',\r\n      top: 'y t top Top',\r\n      width: 'w width W Width',\r\n      height: 'h height W Width',\r\n      bottom: 'b bottom Bottom',\r\n      right: 'r right Right'\r\n    })\r\n\r\n    rect = {\r\n      x: arg.left || 0,\r\n      y: arg.top || 0\r\n    }\r\n\r\n    if (arg.width == null) {\r\n      if (arg.right) rect.width = arg.right - rect.x\r\n      else rect.width = 0\r\n    }\r\n    else {\r\n      rect.width = arg.width\r\n    }\r\n\r\n    if (arg.height == null) {\r\n      if (arg.bottom) rect.height = arg.bottom - rect.y\r\n      else rect.height = 0\r\n    }\r\n    else {\r\n      rect.height = arg.height\r\n    }\r\n  }\r\n\r\n  return rect\r\n}\r\n\n},{\"pick-by-alias\":448}],443:[function(_dereq_,module,exports){\n\nmodule.exports = parse\n\n/**\n * expected argument lengths\n * @type {Object}\n */\n\nvar length = {a: 7, c: 6, h: 1, l: 2, m: 2, q: 4, s: 4, t: 2, v: 1, z: 0}\n\n/**\n * segment pattern\n * @type {RegExp}\n */\n\nvar segment = /([astvzqmhlc])([^astvzqmhlc]*)/ig\n\n/**\n * parse an svg path data string. Generates an Array\n * of commands where each command is an Array of the\n * form `[command, arg1, arg2, ...]`\n *\n * @param {String} path\n * @return {Array}\n */\n\nfunction parse(path) {\n\tvar data = []\n\tpath.replace(segment, function(_, command, args){\n\t\tvar type = command.toLowerCase()\n\t\targs = parseValues(args)\n\n\t\t// overloaded moveTo\n\t\tif (type == 'm' && args.length > 2) {\n\t\t\tdata.push([command].concat(args.splice(0, 2)))\n\t\t\ttype = 'l'\n\t\t\tcommand = command == 'm' ? 'l' : 'L'\n\t\t}\n\n\t\twhile (true) {\n\t\t\tif (args.length == length[type]) {\n\t\t\t\targs.unshift(command)\n\t\t\t\treturn data.push(args)\n\t\t\t}\n\t\t\tif (args.length < length[type]) throw new Error('malformed path data')\n\t\t\tdata.push([command].concat(args.splice(0, length[type])))\n\t\t}\n\t})\n\treturn data\n}\n\nvar number = /-?[0-9]*\\.?[0-9]+(?:e[-+]?\\d+)?/ig\n\nfunction parseValues(args) {\n\tvar numbers = args.match(number)\n\treturn numbers ? numbers.map(Number) : []\n}\n\n},{}],444:[function(_dereq_,module,exports){\nmodule.exports = function parseUnit(str, out) {\n    if (!out)\n        out = [ 0, '' ]\n\n    str = String(str)\n    var num = parseFloat(str, 10)\n    out[0] = num\n    out[1] = str.match(/[\\d.\\-\\+]*\\s*(.*)/)[1] || ''\n    return out\n}\n},{}],445:[function(_dereq_,module,exports){\n(function (process){\n// Generated by CoffeeScript 1.12.2\n(function() {\n  var getNanoSeconds, hrtime, loadTime, moduleLoadTime, nodeLoadTime, upTime;\n\n  if ((typeof performance !== \"undefined\" && performance !== null) && performance.now) {\n    module.exports = function() {\n      return performance.now();\n    };\n  } else if ((typeof process !== \"undefined\" && process !== null) && process.hrtime) {\n    module.exports = function() {\n      return (getNanoSeconds() - nodeLoadTime) / 1e6;\n    };\n    hrtime = process.hrtime;\n    getNanoSeconds = function() {\n      var hr;\n      hr = hrtime();\n      return hr[0] * 1e9 + hr[1];\n    };\n    moduleLoadTime = getNanoSeconds();\n    upTime = process.uptime() * 1e9;\n    nodeLoadTime = moduleLoadTime - upTime;\n  } else if (Date.now) {\n    module.exports = function() {\n      return Date.now() - loadTime;\n    };\n    loadTime = Date.now();\n  } else {\n    module.exports = function() {\n      return new Date().getTime() - loadTime;\n    };\n    loadTime = new Date().getTime();\n  }\n\n}).call(this);\n\n\n\n}).call(this,_dereq_('_process'))\n},{\"_process\":465}],446:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = permutationSign\n\nvar BRUTE_FORCE_CUTOFF = 32\n\nvar pool = _dereq_(\"typedarray-pool\")\n\nfunction permutationSign(p) {\n  var n = p.length\n  if(n < BRUTE_FORCE_CUTOFF) {\n    //Use quadratic algorithm for small n\n    var sgn = 1\n    for(var i=0; i<n; ++i) {\n      for(var j=0; j<i; ++j) {\n        if(p[i] < p[j]) {\n          sgn = -sgn\n        } else if(p[i] === p[j]) {\n          return 0\n        }\n      }\n    }\n    return sgn\n  } else {\n    //Otherwise use linear time algorithm\n    var visited = pool.mallocUint8(n)\n    for(var i=0; i<n; ++i) {\n      visited[i] = 0\n    }\n    var sgn = 1\n    for(var i=0; i<n; ++i) {\n      if(!visited[i]) {\n        var count = 1\n        visited[i] = 1\n        for(var j=p[i]; j!==i; j=p[j]) {\n          if(visited[j]) {\n            pool.freeUint8(visited)\n            return 0\n          }\n          count += 1\n          visited[j] = 1\n        }\n        if(!(count & 1)) {\n          sgn = -sgn\n        }\n      }\n    }\n    pool.freeUint8(visited)\n    return sgn\n  }\n}\n},{\"typedarray-pool\":522}],447:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar pool = _dereq_(\"typedarray-pool\")\nvar inverse = _dereq_(\"invert-permutation\")\n\nfunction rank(permutation) {\n  var n = permutation.length\n  switch(n) {\n    case 0:\n    case 1:\n      return 0\n    case 2:\n      return permutation[1]\n    default:\n      break\n  }\n  var p = pool.mallocUint32(n)\n  var pinv = pool.mallocUint32(n)\n  var r = 0, s, t, i\n  inverse(permutation, pinv)\n  for(i=0; i<n; ++i) {\n    p[i] = permutation[i]\n  }\n  for(i=n-1; i>0; --i) {\n    t = pinv[i]\n    s = p[i]\n    p[i] = p[t]\n    p[t] = s\n    pinv[i] = pinv[s]\n    pinv[s] = t\n    r = (r + s) * i\n  }\n  pool.freeUint32(pinv)\n  pool.freeUint32(p)\n  return r\n}\n\nfunction unrank(n, r, p) {\n  switch(n) {\n    case 0:\n      if(p) { return p }\n      return []\n    case 1:\n      if(p) {\n        p[0] = 0\n        return p\n      } else {\n        return [0]\n      }\n    case 2:\n      if(p) {\n        if(r) {\n          p[0] = 0\n          p[1] = 1\n        } else {\n          p[0] = 1\n          p[1] = 0\n        }\n        return p\n      } else {\n        return r ? [0,1] : [1,0]\n      }\n    default:\n      break\n  }\n  p = p || new Array(n)\n  var s, t, i, nf=1\n  p[0] = 0\n  for(i=1; i<n; ++i) {\n    p[i] = i\n    nf = (nf*i)|0\n  }\n  for(i=n-1; i>0; --i) {\n    s = (r / nf)|0\n    r = (r - s * nf)|0\n    nf = (nf / i)|0\n    t = p[i]|0\n    p[i] = p[s]|0\n    p[s] = t|0\n  }\n  return p\n}\n\nexports.rank = rank\nexports.unrank = unrank\n\n},{\"invert-permutation\":398,\"typedarray-pool\":522}],448:[function(_dereq_,module,exports){\n'use strict'\r\n\r\n\r\nmodule.exports = function pick (src, props, keepRest) {\r\n\tvar result = {}, prop, i\r\n\r\n\tif (typeof props === 'string') props = toList(props)\r\n\tif (Array.isArray(props)) {\r\n\t\tvar res = {}\r\n\t\tfor (i = 0; i < props.length; i++) {\r\n\t\t\tres[props[i]] = true\r\n\t\t}\r\n\t\tprops = res\r\n\t}\r\n\r\n\t// convert strings to lists\r\n\tfor (prop in props) {\r\n\t\tprops[prop] = toList(props[prop])\r\n\t}\r\n\r\n\t// keep-rest strategy requires unmatched props to be preserved\r\n\tvar occupied = {}\r\n\r\n\tfor (prop in props) {\r\n\t\tvar aliases = props[prop]\r\n\r\n\t\tif (Array.isArray(aliases)) {\r\n\t\t\tfor (i = 0; i < aliases.length; i++) {\r\n\t\t\t\tvar alias = aliases[i]\r\n\r\n\t\t\t\tif (keepRest) {\r\n\t\t\t\t\toccupied[alias] = true\r\n\t\t\t\t}\r\n\r\n\t\t\t\tif (alias in src) {\r\n\t\t\t\t\tresult[prop] = src[alias]\r\n\r\n\t\t\t\t\tif (keepRest) {\r\n\t\t\t\t\t\tfor (var j = i; j < aliases.length; j++) {\r\n\t\t\t\t\t\t\toccupied[aliases[j]] = true\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\r\n\t\t\t\t\tbreak\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\telse if (prop in src) {\r\n\t\t\tif (props[prop]) {\r\n\t\t\t\tresult[prop] = src[prop]\r\n\t\t\t}\r\n\r\n\t\t\tif (keepRest) {\r\n\t\t\t\toccupied[prop] = true\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n\r\n\tif (keepRest) {\r\n\t\tfor (prop in src) {\r\n\t\t\tif (occupied[prop]) continue\r\n\t\t\tresult[prop] = src[prop]\r\n\t\t}\r\n\t}\r\n\r\n\treturn result\r\n}\r\n\r\nvar CACHE = {}\r\n\r\nfunction toList(arg) {\r\n\tif (CACHE[arg]) return CACHE[arg]\r\n\tif (typeof arg === 'string') {\r\n\t\targ = CACHE[arg] = arg.split(/\\s*,\\s*|\\s+/)\r\n\t}\r\n\treturn arg\r\n}\r\n\n},{}],449:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = planarDual\n\nvar compareAngle = _dereq_(\"compare-angle\")\n\nfunction planarDual(cells, positions) {\n\n  var numVertices = positions.length|0\n  var numEdges = cells.length\n  var adj = [new Array(numVertices), new Array(numVertices)]\n  for(var i=0; i<numVertices; ++i) {\n    adj[0][i] = []\n    adj[1][i] = []\n  }\n  for(var i=0; i<numEdges; ++i) {\n    var c = cells[i]\n    adj[0][c[0]].push(c)\n    adj[1][c[1]].push(c)\n  }\n\n  var cycles = []\n\n  //Add isolated vertices as trivial case\n  for(var i=0; i<numVertices; ++i) {\n    if(adj[0][i].length + adj[1][i].length === 0) {\n      cycles.push( [i] )\n    }\n  }\n\n  //Remove a half edge\n  function cut(c, i) {\n    var a = adj[i][c[i]]\n    a.splice(a.indexOf(c), 1)\n  }\n\n  //Find next vertex and cut edge\n  function next(a, b, noCut) {\n    var nextCell, nextVertex, nextDir\n    for(var i=0; i<2; ++i) {\n      if(adj[i][b].length > 0) {\n        nextCell = adj[i][b][0]\n        nextDir = i\n        break\n      }\n    }\n    nextVertex = nextCell[nextDir^1]\n\n    for(var dir=0; dir<2; ++dir) {\n      var nbhd = adj[dir][b]\n      for(var k=0; k<nbhd.length; ++k) {\n        var e = nbhd[k]\n        var p = e[dir^1]\n        var cmp = compareAngle(\n            positions[a], \n            positions[b], \n            positions[nextVertex],\n            positions[p])\n        if(cmp > 0) {\n          nextCell = e\n          nextVertex = p\n          nextDir = dir\n        }\n      }\n    }\n    if(noCut) {\n      return nextVertex\n    }\n    if(nextCell) {\n      cut(nextCell, nextDir)\n    }\n    return nextVertex\n  }\n\n  function extractCycle(v, dir) {\n    var e0 = adj[dir][v][0]\n    var cycle = [v]\n    cut(e0, dir)\n    var u = e0[dir^1]\n    var d0 = dir\n    while(true) {\n      while(u !== v) {\n        cycle.push(u)\n        u = next(cycle[cycle.length-2], u, false)\n      }\n      if(adj[0][v].length + adj[1][v].length === 0) {\n        break\n      }\n      var a = cycle[cycle.length-1]\n      var b = v\n      var c = cycle[1]\n      var d = next(a, b, true)\n      if(compareAngle(positions[a], positions[b], positions[c], positions[d]) < 0) {\n        break\n      }\n      cycle.push(v)\n      u = next(a, b)\n    }\n    return cycle\n  }\n\n  function shouldGlue(pcycle, ncycle) {\n    return (ncycle[1] === ncycle[ncycle.length-1])\n  }\n\n  for(var i=0; i<numVertices; ++i) {\n    for(var j=0; j<2; ++j) {\n      var pcycle = []\n      while(adj[j][i].length > 0) {\n        var ni = adj[0][i].length\n        var ncycle = extractCycle(i,j)\n        if(shouldGlue(pcycle, ncycle)) {\n          //Glue together trivial cycles\n          pcycle.push.apply(pcycle, ncycle)\n        } else {\n          if(pcycle.length > 0) {\n            cycles.push(pcycle)\n          }\n          pcycle = ncycle\n        }\n      }\n      if(pcycle.length > 0) {\n        cycles.push(pcycle)\n      }\n    }\n  }\n\n  //Combine paths and loops together\n  return cycles\n}\n},{\"compare-angle\":115}],450:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = trimLeaves\n\nvar e2a = _dereq_('edges-to-adjacency-list')\n\nfunction trimLeaves(edges, positions) {\n  var adj = e2a(edges, positions.length)\n  var live = new Array(positions.length)\n  var nbhd = new Array(positions.length)\n\n  var dead = []\n  for(var i=0; i<positions.length; ++i) {\n    var count = adj[i].length\n    nbhd[i] = count\n    live[i] = true\n    if(count <= 1) {\n      dead.push(i)\n    }\n  }\n\n  while(dead.length > 0) {\n    var v = dead.pop()\n    live[v] = false\n    var n = adj[v]\n    for(var i=0; i<n.length; ++i) {\n      var u = n[i]\n      if(--nbhd[u] === 0) {\n        dead.push(u)\n      }\n    }\n  }\n\n  var newIndex = new Array(positions.length)\n  var npositions = []\n  for(var i=0; i<positions.length; ++i) {\n    if(live[i]) {\n      var v = npositions.length\n      newIndex[i] = v\n      npositions.push(positions[i])\n    } else {\n      newIndex[i] = -1\n    }\n  }\n\n  var nedges = []\n  for(var i=0; i<edges.length; ++i) {\n    var e = edges[i]\n    if(live[e[0]] && live[e[1]]) {\n      nedges.push([ newIndex[e[0]], newIndex[e[1]] ])\n    }\n  }\n  \n  return [ nedges, npositions ]\n}\n},{\"edges-to-adjacency-list\":157}],451:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = planarGraphToPolyline\n\nvar e2a = _dereq_('edges-to-adjacency-list')\nvar planarDual = _dereq_('planar-dual')\nvar preprocessPolygon = _dereq_('point-in-big-polygon')\nvar twoProduct = _dereq_('two-product')\nvar robustSum = _dereq_('robust-sum')\nvar uniq = _dereq_('uniq')\nvar trimLeaves = _dereq_('./lib/trim-leaves')\n\nfunction makeArray(length, fill) {\n  var result = new Array(length)\n  for(var i=0; i<length; ++i) {\n    result[i] = fill\n  }\n  return result\n}\n\nfunction makeArrayOfArrays(length) {\n  var result = new Array(length)\n  for(var i=0; i<length; ++i) {\n    result[i] = []\n  }\n  return result\n}\n\n\nfunction planarGraphToPolyline(edges, positions) {\n\n  //Trim leaves\n  var result = trimLeaves(edges, positions)\n  edges = result[0]\n  positions = result[1]\n\n  var numVertices = positions.length\n  var numEdges = edges.length\n\n  //Calculate adjacency list, check manifold\n  var adj = e2a(edges, positions.length)\n  for(var i=0; i<numVertices; ++i) {\n    if(adj[i].length % 2 === 1) {\n      throw new Error('planar-graph-to-polyline: graph must be manifold')\n    }\n  }\n\n  //Get faces\n  var faces = planarDual(edges, positions)\n\n  //Check orientation of a polygon using exact arithmetic\n  function ccw(c) {\n    var n = c.length\n    var area = [0]\n    for(var j=0; j<n; ++j) {\n      var a = positions[c[j]]\n      var b = positions[c[(j+1)%n]]\n      var t00 = twoProduct(-a[0], a[1])\n      var t01 = twoProduct(-a[0], b[1])\n      var t10 = twoProduct( b[0], a[1])\n      var t11 = twoProduct( b[0], b[1])\n      area = robustSum(area, robustSum(robustSum(t00, t01), robustSum(t10, t11)))\n    }\n    return area[area.length-1] > 0\n  }\n\n  //Extract all clockwise faces\n  faces = faces.filter(ccw)\n\n  //Detect which loops are contained in one another to handle parent-of relation\n  var numFaces = faces.length\n  var parent = new Array(numFaces)\n  var containment = new Array(numFaces)\n  for(var i=0; i<numFaces; ++i) {\n    parent[i] = i\n    var row = new Array(numFaces)\n    var loopVertices = faces[i].map(function(v) {\n      return positions[v]\n    })\n    var pmc = preprocessPolygon([loopVertices])\n    var count = 0\n    outer:\n    for(var j=0; j<numFaces; ++j) {\n      row[j] = 0\n      if(i === j) {\n        continue\n      }\n      var c = faces[j]\n      var n = c.length\n      for(var k=0; k<n; ++k) {\n        var d = pmc(positions[c[k]])\n        if(d !== 0) {\n          if(d < 0) {\n            row[j] = 1\n            count += 1\n          }\n          continue outer\n        }\n      }\n      row[j] = 1\n      count += 1\n    }\n    containment[i] = [count, i, row]\n  }\n  containment.sort(function(a,b) {\n    return b[0] - a[0]\n  })\n  for(var i=0; i<numFaces; ++i) {\n    var row = containment[i]\n    var idx = row[1]\n    var children = row[2]\n    for(var j=0; j<numFaces; ++j) {\n      if(children[j]) {\n        parent[j] = idx\n      }\n    }\n  }\n\n  //Initialize face adjacency list\n  var fadj = makeArrayOfArrays(numFaces)\n  for(var i=0; i<numFaces; ++i) {\n    fadj[i].push(parent[i])\n    fadj[parent[i]].push(i)\n  }\n\n  //Build adjacency matrix for edges\n  var edgeAdjacency = {}\n  var internalVertices = makeArray(numVertices, false)\n  for(var i=0; i<numFaces; ++i) {\n    var c = faces[i]\n    var n = c.length\n    for(var j=0; j<n; ++j) {\n      var a = c[j]\n      var b = c[(j+1)%n]\n      var key = Math.min(a,b) + \":\" + Math.max(a,b)\n      if(key in edgeAdjacency) {\n        var neighbor = edgeAdjacency[key]\n        fadj[neighbor].push(i)\n        fadj[i].push(neighbor)\n        internalVertices[a] = internalVertices[b] = true\n      } else {\n        edgeAdjacency[key] = i\n      }\n    }\n  }\n\n  function sharedBoundary(c) {\n    var n = c.length\n    for(var i=0; i<n; ++i) {\n      if(!internalVertices[c[i]]) {\n        return false\n      }\n    }\n    return true\n  }\n\n  var toVisit = []\n  var parity = makeArray(numFaces, -1)\n  for(var i=0; i<numFaces; ++i) {\n    if(parent[i] === i && !sharedBoundary(faces[i])) {\n      toVisit.push(i)\n      parity[i] = 0\n    } else {\n      parity[i] = -1\n    }\n  }\n\n  //Using face adjacency, classify faces as in/out\n  var result = []\n  while(toVisit.length > 0) {\n    var top = toVisit.pop()\n    var nbhd = fadj[top]\n    uniq(nbhd, function(a,b) {\n      return a-b\n    })\n    var nnbhr = nbhd.length\n    var p = parity[top]\n    var polyline\n    if(p === 0) {\n      var c = faces[top]\n      polyline = [c]\n    }\n    for(var i=0; i<nnbhr; ++i) {\n      var f = nbhd[i]\n      if(parity[f] >= 0) {\n        continue\n      }\n      parity[f] = p^1\n      toVisit.push(f)\n      if(p === 0) {\n        var c = faces[f]\n        if(!sharedBoundary(c)) {\n          c.reverse()\n          polyline.push(c)\n        }\n      }\n    }\n    if(p === 0) {\n      result.push(polyline)\n    }\n  }\n\n  return result\n}\n},{\"./lib/trim-leaves\":450,\"edges-to-adjacency-list\":157,\"planar-dual\":449,\"point-in-big-polygon\":455,\"robust-sum\":491,\"two-product\":520,\"uniq\":524}],452:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = _dereq_('./quad')\r\n},{\"./quad\":454}],453:[function(_dereq_,module,exports){\narguments[4][99][0].apply(exports,arguments)\n},{\"dup\":99}],454:[function(_dereq_,module,exports){\n/**\r\n * @module  point-cluster/quad\r\n *\r\n * Bucket based quad tree clustering\r\n */\r\n\r\n'use strict'\r\n\r\nvar search = _dereq_('binary-search-bounds')\r\nvar clamp = _dereq_('clamp')\r\nvar rect = _dereq_('parse-rect')\r\nvar getBounds = _dereq_('array-bounds')\r\nvar pick = _dereq_('pick-by-alias')\r\nvar defined = _dereq_('defined')\r\nvar flatten = _dereq_('flatten-vertex-data')\r\nvar isObj = _dereq_('is-obj')\r\nvar dtype = _dereq_('dtype')\r\nvar log2 = _dereq_('math-log2')\r\n\r\n\r\nmodule.exports = function cluster (srcPoints, options) {\r\n\tif (!options) { options = {} }\r\n\r\n\tsrcPoints = flatten(srcPoints, 'float64')\r\n\r\n\toptions = pick(options, {\r\n\t\tbounds: 'range bounds dataBox databox',\r\n\t\tmaxDepth: 'depth maxDepth maxdepth level maxLevel maxlevel levels',\r\n\t\tdtype: 'type dtype format out dst output destination'\r\n\t\t// sort: 'sortBy sortby sort',\r\n\t\t// pick: 'pick levelPoint',\r\n\t\t// nodeSize: 'node nodeSize minNodeSize minSize size'\r\n\t})\r\n\r\n\t// let nodeSize = defined(options.nodeSize, 1)\r\n\tvar maxDepth = defined(options.maxDepth, 255)\r\n\tvar bounds = defined(options.bounds, getBounds(srcPoints, 2))\r\n\tif (bounds[0] === bounds[2]) { bounds[2]++ }\r\n\tif (bounds[1] === bounds[3]) { bounds[3]++ }\r\n\r\n\tvar points = normalize(srcPoints, bounds)\r\n\r\n\t// init variables\r\n\tvar n = srcPoints.length >>> 1\r\n\tvar ids\r\n\tif (!options.dtype) { options.dtype = 'array' }\r\n\r\n\tif (typeof options.dtype === 'string') {\r\n\t\tids = new (dtype(options.dtype))(n)\r\n\t}\r\n\telse if (options.dtype) {\r\n\t\tids = options.dtype\r\n\t\tif (Array.isArray(ids)) { ids.length = n }\r\n\t}\r\n\tfor (var i = 0; i < n; ++i) {\r\n\t\tids[i] = i\r\n\t}\r\n\r\n\t// point indexes for levels [0: [a,b,c,d], 1: [a,b,c,d,e,f,...], ...]\r\n\tvar levels = []\r\n\r\n\t// starting indexes of subranges in sub levels, levels.length * 4\r\n\tvar sublevels = []\r\n\r\n\t// unique group ids, sorted in z-curve fashion within levels\r\n\tvar groups = []\r\n\r\n\t// level offsets in `ids`\r\n\tvar offsets = []\r\n\r\n\r\n\t// sort points\r\n\tsort(0, 0, 1, ids, 0, 1)\r\n\r\n\r\n\t// return reordered ids with provided methods\r\n\t// save level offsets in output buffer\r\n\tvar offset = 0\r\n\tfor (var level = 0; level < levels.length; level++) {\r\n\t\tvar levelItems = levels[level]\r\n\t\tif (ids.set) { ids.set(levelItems, offset) }\r\n\t\telse {\r\n\t\t\tfor (var i$1 = 0, l = levelItems.length; i$1 < l; i$1++) {\r\n\t\t\t\tids[i$1 + offset] = levelItems[i$1]\r\n\t\t\t}\r\n\t\t}\r\n\t\tvar nextOffset = offset + levels[level].length\r\n\t\toffsets[level] = [offset, nextOffset]\r\n\t\toffset = nextOffset\r\n\t}\r\n\r\n\tids.range = range\r\n\r\n\treturn ids\r\n\r\n\r\n\r\n\t// FIXME: it is possible to create one typed array heap and reuse that to avoid memory blow\r\n\tfunction sort (x, y, diam, ids, level, group) {\r\n\t\tif (!ids.length) { return null }\r\n\r\n\t\t// save first point as level representative\r\n\t\tvar levelItems = levels[level] || (levels[level] = [])\r\n\t\tvar levelGroups = groups[level] || (groups[level] = [])\r\n\t\tvar sublevel = sublevels[level] || (sublevels[level] = [])\r\n\t\tvar offset = levelItems.length\r\n\r\n\t\tlevel++\r\n\r\n\t\t// max depth reached - put all items into a first group\r\n\t\tif (level > maxDepth) {\r\n\t\t\tfor (var i = 0; i < ids.length; i++) {\r\n\t\t\t\tlevelItems.push(ids[i])\r\n\t\t\t\tlevelGroups.push(group)\r\n\t\t\t\tsublevel.push(null, null, null, null)\r\n\t\t\t}\r\n\r\n\t\t\treturn offset\r\n\t\t}\r\n\r\n\t\tlevelItems.push(ids[0])\r\n\t\tlevelGroups.push(group)\r\n\r\n\t\tif (ids.length <= 1) {\r\n\t\t\tsublevel.push(null, null, null, null)\r\n\t\t\treturn offset\r\n\t\t}\r\n\r\n\r\n\t\tvar d2 = diam * .5\r\n\t\tvar cx = x + d2, cy = y + d2\r\n\r\n\t\t// distribute points by 4 buckets\r\n\t\tvar lolo = [], lohi = [], hilo = [], hihi = []\r\n\r\n\t\tfor (var i$1 = 1, l = ids.length; i$1 < l; i$1++) {\r\n\t\t\tvar idx = ids[i$1],\r\n\t\t\t\tx$1 = points[idx * 2],\r\n\t\t\t\ty$1 = points[idx * 2 + 1]\r\n\t\t\tx$1 < cx ? (y$1 < cy ? lolo.push(idx) : lohi.push(idx)) : (y$1 < cy ? hilo.push(idx) : hihi.push(idx))\r\n\t\t}\r\n\r\n\t\tgroup <<= 2\r\n\t\tsublevel.push(\r\n\t\t\tsort(x, y, d2, lolo, level, group),\r\n\t\t\tsort(x, cy, d2, lohi, level, group + 1),\r\n\t\t\tsort(cx, y, d2, hilo, level, group + 2),\r\n\t\t\tsort(cx, cy, d2, hihi, level, group + 3)\r\n\t\t)\r\n\r\n\t\treturn offset\r\n\t}\r\n\r\n\t// get all points within the passed range\r\n\tfunction range () {\n\t\tvar args = [], len = arguments.length;\n\t\twhile ( len-- ) args[ len ] = arguments[ len ];\n\r\n\t\tvar options\r\n\r\n\t\tif (isObj(args[args.length - 1])) {\r\n\t\t\tvar arg = args.pop()\r\n\r\n\t\t\t// detect if that was a rect object\r\n\t\t\tif (!args.length && (arg.x != null || arg.l != null || arg.left != null)) {\r\n\t\t\t\targs = [arg]\r\n\t\t\t\toptions = {}\r\n\t\t\t}\r\n\r\n\t\t\toptions = pick(arg, {\r\n\t\t\t\tlevel: 'level maxLevel',\r\n\t\t\t\td: 'd diam diameter r radius px pxSize pixel pixelSize maxD size minSize',\r\n\t\t\t\tlod: 'lod details ranges offsets'\r\n\t\t\t})\r\n\t\t}\r\n\t\telse {\r\n\t\t\toptions = {}\r\n\t\t}\r\n\r\n\t\tif (!args.length) { args = bounds }\r\n\r\n\t\tvar box = rect.apply( void 0, args )\r\n\r\n\t\tvar ref = [\r\n\t\t\tMath.min(box.x, box.x + box.width),\r\n\t\t\tMath.min(box.y, box.y + box.height),\r\n\t\t\tMath.max(box.x, box.x + box.width),\r\n\t\t\tMath.max(box.y, box.y + box.height)\r\n\t\t];\n\t\tvar minX = ref[0];\n\t\tvar minY = ref[1];\n\t\tvar maxX = ref[2];\n\t\tvar maxY = ref[3];\r\n\r\n\t\tvar ref$1 = normalize([minX, minY, maxX, maxY], bounds );\n\t\tvar nminX = ref$1[0];\n\t\tvar nminY = ref$1[1];\n\t\tvar nmaxX = ref$1[2];\n\t\tvar nmaxY = ref$1[3];\r\n\r\n\t\tvar maxLevel = defined(options.level, levels.length)\r\n\r\n\t\t// limit maxLevel by px size\r\n\t\tif (options.d != null) {\r\n\t\t\tvar d\r\n\t\t\tif (typeof options.d === 'number') { d = [options.d, options.d] }\r\n\t\t\telse if (options.d.length) { d = options.d }\r\n\r\n\t\t\tmaxLevel = Math.min(\r\n\t\t\t\tMath.max(\r\n\t\t\t\t\tMath.ceil(-log2(Math.abs(d[0]) / (bounds[2] - bounds[0]))),\r\n\t\t\t\t\tMath.ceil(-log2(Math.abs(d[1]) / (bounds[3] - bounds[1])))\r\n\t\t\t\t),\r\n\t\t\t\tmaxLevel\r\n\t\t\t)\r\n\t\t}\r\n\t\tmaxLevel = Math.min(maxLevel, levels.length)\r\n\r\n\t\t// return levels of details\r\n\t\tif (options.lod) {\r\n\t\t\treturn lod(nminX, nminY, nmaxX, nmaxY, maxLevel)\r\n\t\t}\r\n\r\n\r\n\r\n\t\t// do selection ids\r\n\t\tvar selection = []\r\n\r\n\t\t// FIXME: probably we can do LOD here beforehead\r\n\t\tselect( 0, 0, 1, 0, 0, 1)\r\n\r\n\t\tfunction select ( lox, loy, d, level, from, to ) {\r\n\t\t\tif (from === null || to === null) { return }\r\n\r\n\t\t\tvar hix = lox + d\r\n\t\t\tvar hiy = loy + d\r\n\r\n\t\t\t// if box does not intersect level - ignore\r\n\t\t\tif ( nminX > hix || nminY > hiy || nmaxX < lox || nmaxY < loy ) { return }\r\n\t\t\tif ( level >= maxLevel ) { return }\r\n\t\t\tif ( from === to ) { return }\r\n\r\n\t\t\t// if points fall into box range - take it\r\n\t\t\tvar levelItems = levels[level]\r\n\r\n\t\t\tif (to === undefined) { to = levelItems.length }\r\n\r\n\t\t\tfor (var i = from; i < to; i++) {\r\n\t\t\t\tvar id = levelItems[i]\r\n\r\n\t\t\t\tvar px = srcPoints[ id * 2 ]\r\n\t\t\t\tvar py = srcPoints[ id * 2 + 1 ]\r\n\r\n\t\t\t\tif ( px >= minX && px <= maxX && py >= minY && py <= maxY ) {selection.push(id)\r\n\t\t\t\t}\r\n\t\t\t}\r\n\r\n\t\t\t// for every subsection do select\r\n\t\t\tvar offsets = sublevels[ level ]\r\n\t\t\tvar off0 = offsets[ from * 4 + 0 ]\r\n\t\t\tvar off1 = offsets[ from * 4 + 1 ]\r\n\t\t\tvar off2 = offsets[ from * 4 + 2 ]\r\n\t\t\tvar off3 = offsets[ from * 4 + 3 ]\r\n\t\t\tvar end = nextOffset(offsets, from + 1)\r\n\r\n\t\t\tvar d2 = d * .5\r\n\t\t\tvar nextLevel = level + 1\r\n\t\t\tselect( lox, loy, d2, nextLevel, off0, off1 || off2 || off3 || end)\r\n\t\t\tselect( lox, loy + d2, d2, nextLevel, off1, off2 || off3 || end)\r\n\t\t\tselect( lox + d2, loy, d2, nextLevel, off2, off3 || end)\r\n\t\t\tselect( lox + d2, loy + d2, d2, nextLevel, off3, end)\r\n\t\t}\r\n\r\n\t\tfunction nextOffset(offsets, from) {\r\n\t\t\tvar offset = null, i = 0\r\n\t\t\twhile(offset === null) {\r\n\t\t\t\toffset = offsets[ from * 4 + i ]\r\n\t\t\t\ti++\r\n\t\t\t\tif (i > offsets.length) { return null }\r\n\t\t\t}\r\n\t\t\treturn offset\r\n\t\t}\r\n\r\n\t\treturn selection\r\n\t}\r\n\r\n\t// get range offsets within levels to render lods appropriate for zoom level\r\n\t// TODO: it is possible to store minSize of a point to optimize neede level calc\r\n\tfunction lod (lox, loy, hix, hiy, maxLevel) {\r\n\t\tvar ranges = []\r\n\r\n\t\tfor (var level = 0; level < maxLevel; level++) {\r\n\t\t\tvar levelGroups = groups[level]\r\n\t\t\tvar from = offsets[level][0]\r\n\r\n\t\t\tvar levelGroupStart = group(lox, loy, level)\r\n\t\t\tvar levelGroupEnd = group(hix, hiy, level)\r\n\r\n\t\t\t// FIXME: utilize sublevels to speed up search range here\r\n\t\t\tvar startOffset = search.ge(levelGroups, levelGroupStart)\r\n\t\t\tvar endOffset = search.gt(levelGroups, levelGroupEnd, startOffset, levelGroups.length - 1)\r\n\r\n\t\t\tranges[level] = [startOffset + from, endOffset + from]\r\n\t\t}\r\n\r\n\t\treturn ranges\r\n\t}\r\n\r\n\t// get group id closest to the x,y coordinate, corresponding to a level\r\n\tfunction group (x, y, level) {\r\n\t\tvar group = 1\r\n\r\n\t\tvar cx = .5, cy = .5\r\n\t\tvar diam = .5\r\n\r\n\t\tfor (var i = 0; i < level; i++) {\r\n\t\t\tgroup <<= 2\r\n\r\n\t\t\tgroup += x < cx ? (y < cy ? 0 : 1) : (y < cy ? 2 : 3)\r\n\r\n\t\t\tdiam *= .5\r\n\r\n\t\t\tcx += x < cx ? -diam : diam\r\n\t\t\tcy += y < cy ? -diam : diam\r\n\t\t}\r\n\r\n\t\treturn group\r\n\t}\r\n}\r\n\r\n\r\n// normalize points by bounds\r\nfunction normalize (pts, bounds) {\r\n\tvar lox = bounds[0];\n\tvar loy = bounds[1];\n\tvar hix = bounds[2];\n\tvar hiy = bounds[3];\r\n\tvar scaleX = 1.0 / (hix - lox)\r\n\tvar scaleY = 1.0 / (hiy - loy)\r\n\tvar result = new Array(pts.length)\r\n\r\n\tfor (var i = 0, n = pts.length / 2; i < n; i++) {\r\n\t\tresult[2*i] = clamp((pts[2*i] - lox) * scaleX, 0, 1)\r\n\t\tresult[2*i+1] = clamp((pts[2*i+1] - loy) * scaleY, 0, 1)\r\n\t}\r\n\r\n\treturn result\r\n}\r\n},{\"array-bounds\":53,\"binary-search-bounds\":453,\"clamp\":103,\"defined\":149,\"dtype\":154,\"flatten-vertex-data\":216,\"is-obj\":404,\"math-log2\":415,\"parse-rect\":442,\"pick-by-alias\":448}],455:[function(_dereq_,module,exports){\nmodule.exports = preprocessPolygon\n\nvar orient = _dereq_('robust-orientation')[3]\nvar makeSlabs = _dereq_('slab-decomposition')\nvar makeIntervalTree = _dereq_('interval-tree-1d')\nvar bsearch = _dereq_('binary-search-bounds')\n\nfunction visitInterval() {\n  return true\n}\n\nfunction intervalSearch(table) {\n  return function(x, y) {\n    var tree = table[x]\n    if(tree) {\n      return !!tree.queryPoint(y, visitInterval)\n    }\n    return false\n  }\n}\n\nfunction buildVerticalIndex(segments) {\n  var table = {}\n  for(var i=0; i<segments.length; ++i) {\n    var s = segments[i]\n    var x = s[0][0]\n    var y0 = s[0][1]\n    var y1 = s[1][1]\n    var p = [ Math.min(y0, y1), Math.max(y0, y1) ]\n    if(x in table) {\n      table[x].push(p)\n    } else {\n      table[x] = [ p ]\n    }\n  }\n  var intervalTable = {}\n  var keys = Object.keys(table)\n  for(var i=0; i<keys.length; ++i) {\n    var segs = table[keys[i]]\n    intervalTable[keys[i]] = makeIntervalTree(segs)\n  }\n  return intervalSearch(intervalTable)\n}\n\nfunction buildSlabSearch(slabs, coordinates) {\n  return function(p) {\n    var bucket = bsearch.le(coordinates, p[0])\n    if(bucket < 0) {\n      return 1\n    }\n    var root = slabs[bucket]\n    if(!root) {\n      if(bucket > 0 && coordinates[bucket] === p[0]) {\n        root = slabs[bucket-1]\n      } else {\n        return 1\n      }\n    }\n    var lastOrientation = 1\n    while(root) {\n      var s = root.key\n      var o = orient(p, s[0], s[1])\n      if(s[0][0] < s[1][0]) {\n        if(o < 0) {\n          root = root.left\n        } else if(o > 0) {\n          lastOrientation = -1\n          root = root.right\n        } else {\n          return 0\n        }\n      } else {\n        if(o > 0) {\n          root = root.left\n        } else if(o < 0) {\n          lastOrientation = 1\n          root = root.right\n        } else {\n          return 0\n        }\n      }\n    }\n    return lastOrientation\n  }\n}\n\nfunction classifyEmpty(p) {\n  return 1\n}\n\nfunction createClassifyVertical(testVertical) {\n  return function classify(p) {\n    if(testVertical(p[0], p[1])) {\n      return 0\n    }\n    return 1\n  }\n}\n\nfunction createClassifyPointDegen(testVertical, testNormal) {\n  return function classify(p) {\n    if(testVertical(p[0], p[1])) {\n      return 0\n    }\n    return testNormal(p)\n  }\n}\n\nfunction preprocessPolygon(loops) {\n  //Compute number of loops\n  var numLoops = loops.length\n\n  //Unpack segments\n  var segments = []\n  var vsegments = []\n  var ptr = 0\n  for(var i=0; i<numLoops; ++i) {\n    var loop = loops[i]\n    var numVertices = loop.length\n    for(var s=numVertices-1,t=0; t<numVertices; s=(t++)) {\n      var a = loop[s]\n      var b = loop[t]\n      if(a[0] === b[0]) {\n        vsegments.push([a,b])\n      } else {\n        segments.push([a,b])\n      }\n    }\n  }\n\n  //Degenerate case: All loops are empty\n  if(segments.length === 0) {\n    if(vsegments.length === 0) {\n      return classifyEmpty\n    } else {\n      return createClassifyVertical(buildVerticalIndex(vsegments))\n    }\n  }\n\n  //Build slab decomposition\n  var slabs = makeSlabs(segments)\n  var testSlab = buildSlabSearch(slabs.slabs, slabs.coordinates)\n\n  if(vsegments.length === 0) {\n    return testSlab\n  } else {\n    return createClassifyPointDegen(\n      buildVerticalIndex(vsegments),\n      testSlab)\n  }\n}\n},{\"binary-search-bounds\":79,\"interval-tree-1d\":397,\"robust-orientation\":486,\"slab-decomposition\":502}],456:[function(_dereq_,module,exports){\n/*\n * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n * @license MIT\n * @preserve Project Home: https://github.com/voidqk/polybooljs\n */\n\nvar BuildLog = _dereq_('./lib/build-log');\nvar Epsilon = _dereq_('./lib/epsilon');\nvar Intersecter = _dereq_('./lib/intersecter');\nvar SegmentChainer = _dereq_('./lib/segment-chainer');\nvar SegmentSelector = _dereq_('./lib/segment-selector');\nvar GeoJSON = _dereq_('./lib/geojson');\n\nvar buildLog = false;\nvar epsilon = Epsilon();\n\nvar PolyBool;\nPolyBool = {\n\t// getter/setter for buildLog\n\tbuildLog: function(bl){\n\t\tif (bl === true)\n\t\t\tbuildLog = BuildLog();\n\t\telse if (bl === false)\n\t\t\tbuildLog = false;\n\t\treturn buildLog === false ? false : buildLog.list;\n\t},\n\t// getter/setter for epsilon\n\tepsilon: function(v){\n\t\treturn epsilon.epsilon(v);\n\t},\n\n\t// core API\n\tsegments: function(poly){\n\t\tvar i = Intersecter(true, epsilon, buildLog);\n\t\tpoly.regions.forEach(i.addRegion);\n\t\treturn {\n\t\t\tsegments: i.calculate(poly.inverted),\n\t\t\tinverted: poly.inverted\n\t\t};\n\t},\n\tcombine: function(segments1, segments2){\n\t\tvar i3 = Intersecter(false, epsilon, buildLog);\n\t\treturn {\n\t\t\tcombined: i3.calculate(\n\t\t\t\tsegments1.segments, segments1.inverted,\n\t\t\t\tsegments2.segments, segments2.inverted\n\t\t\t),\n\t\t\tinverted1: segments1.inverted,\n\t\t\tinverted2: segments2.inverted\n\t\t};\n\t},\n\tselectUnion: function(combined){\n\t\treturn {\n\t\t\tsegments: SegmentSelector.union(combined.combined, buildLog),\n\t\t\tinverted: combined.inverted1 || combined.inverted2\n\t\t}\n\t},\n\tselectIntersect: function(combined){\n\t\treturn {\n\t\t\tsegments: SegmentSelector.intersect(combined.combined, buildLog),\n\t\t\tinverted: combined.inverted1 && combined.inverted2\n\t\t}\n\t},\n\tselectDifference: function(combined){\n\t\treturn {\n\t\t\tsegments: SegmentSelector.difference(combined.combined, buildLog),\n\t\t\tinverted: combined.inverted1 && !combined.inverted2\n\t\t}\n\t},\n\tselectDifferenceRev: function(combined){\n\t\treturn {\n\t\t\tsegments: SegmentSelector.differenceRev(combined.combined, buildLog),\n\t\t\tinverted: !combined.inverted1 && combined.inverted2\n\t\t}\n\t},\n\tselectXor: function(combined){\n\t\treturn {\n\t\t\tsegments: SegmentSelector.xor(combined.combined, buildLog),\n\t\t\tinverted: combined.inverted1 !== combined.inverted2\n\t\t}\n\t},\n\tpolygon: function(segments){\n\t\treturn {\n\t\t\tregions: SegmentChainer(segments.segments, epsilon, buildLog),\n\t\t\tinverted: segments.inverted\n\t\t};\n\t},\n\n\t// GeoJSON converters\n\tpolygonFromGeoJSON: function(geojson){\n\t\treturn GeoJSON.toPolygon(PolyBool, geojson);\n\t},\n\tpolygonToGeoJSON: function(poly){\n\t\treturn GeoJSON.fromPolygon(PolyBool, epsilon, poly);\n\t},\n\n\t// helper functions for common operations\n\tunion: function(poly1, poly2){\n\t\treturn operate(poly1, poly2, PolyBool.selectUnion);\n\t},\n\tintersect: function(poly1, poly2){\n\t\treturn operate(poly1, poly2, PolyBool.selectIntersect);\n\t},\n\tdifference: function(poly1, poly2){\n\t\treturn operate(poly1, poly2, PolyBool.selectDifference);\n\t},\n\tdifferenceRev: function(poly1, poly2){\n\t\treturn operate(poly1, poly2, PolyBool.selectDifferenceRev);\n\t},\n\txor: function(poly1, poly2){\n\t\treturn operate(poly1, poly2, PolyBool.selectXor);\n\t}\n};\n\nfunction operate(poly1, poly2, selector){\n\tvar seg1 = PolyBool.segments(poly1);\n\tvar seg2 = PolyBool.segments(poly2);\n\tvar comb = PolyBool.combine(seg1, seg2);\n\tvar seg3 = selector(comb);\n\treturn PolyBool.polygon(seg3);\n}\n\nif (typeof window === 'object')\n\twindow.PolyBool = PolyBool;\n\nmodule.exports = PolyBool;\n\n},{\"./lib/build-log\":457,\"./lib/epsilon\":458,\"./lib/geojson\":459,\"./lib/intersecter\":460,\"./lib/segment-chainer\":462,\"./lib/segment-selector\":463}],457:[function(_dereq_,module,exports){\n// (c) Copyright 2016, Sean Connelly (@voidqk), http://syntheti.cc\n// MIT License\n// Project Home: https://github.com/voidqk/polybooljs\n\n//\n// used strictly for logging the processing of the algorithm... only useful if you intend on\n// looking under the covers (for pretty UI's or debugging)\n//\n\nfunction BuildLog(){\n\tvar my;\n\tvar nextSegmentId = 0;\n\tvar curVert = false;\n\n\tfunction push(type, data){\n\t\tmy.list.push({\n\t\t\ttype: type,\n\t\t\tdata: data ? JSON.parse(JSON.stringify(data)) : void 0\n\t\t});\n\t\treturn my;\n\t}\n\n\tmy = {\n\t\tlist: [],\n\t\tsegmentId: function(){\n\t\t\treturn nextSegmentId++;\n\t\t},\n\t\tcheckIntersection: function(seg1, seg2){\n\t\t\treturn push('check', { seg1: seg1, seg2: seg2 });\n\t\t},\n\t\tsegmentChop: function(seg, end){\n\t\t\tpush('div_seg', { seg: seg, pt: end });\n\t\t\treturn push('chop', { seg: seg, pt: end });\n\t\t},\n\t\tstatusRemove: function(seg){\n\t\t\treturn push('pop_seg', { seg: seg });\n\t\t},\n\t\tsegmentUpdate: function(seg){\n\t\t\treturn push('seg_update', { seg: seg });\n\t\t},\n\t\tsegmentNew: function(seg, primary){\n\t\t\treturn push('new_seg', { seg: seg, primary: primary });\n\t\t},\n\t\tsegmentRemove: function(seg){\n\t\t\treturn push('rem_seg', { seg: seg });\n\t\t},\n\t\ttempStatus: function(seg, above, below){\n\t\t\treturn push('temp_status', { seg: seg, above: above, below: below });\n\t\t},\n\t\trewind: function(seg){\n\t\t\treturn push('rewind', { seg: seg });\n\t\t},\n\t\tstatus: function(seg, above, below){\n\t\t\treturn push('status', { seg: seg, above: above, below: below });\n\t\t},\n\t\tvert: function(x){\n\t\t\tif (x === curVert)\n\t\t\t\treturn my;\n\t\t\tcurVert = x;\n\t\t\treturn push('vert', { x: x });\n\t\t},\n\t\tlog: function(data){\n\t\t\tif (typeof data !== 'string')\n\t\t\t\tdata = JSON.stringify(data, false, '  ');\n\t\t\treturn push('log', { txt: data });\n\t\t},\n\t\treset: function(){\n\t\t\treturn push('reset');\n\t\t},\n\t\tselected: function(segs){\n\t\t\treturn push('selected', { segs: segs });\n\t\t},\n\t\tchainStart: function(seg){\n\t\t\treturn push('chain_start', { seg: seg });\n\t\t},\n\t\tchainRemoveHead: function(index, pt){\n\t\t\treturn push('chain_rem_head', { index: index, pt: pt });\n\t\t},\n\t\tchainRemoveTail: function(index, pt){\n\t\t\treturn push('chain_rem_tail', { index: index, pt: pt });\n\t\t},\n\t\tchainNew: function(pt1, pt2){\n\t\t\treturn push('chain_new', { pt1: pt1, pt2: pt2 });\n\t\t},\n\t\tchainMatch: function(index){\n\t\t\treturn push('chain_match', { index: index });\n\t\t},\n\t\tchainClose: function(index){\n\t\t\treturn push('chain_close', { index: index });\n\t\t},\n\t\tchainAddHead: function(index, pt){\n\t\t\treturn push('chain_add_head', { index: index, pt: pt });\n\t\t},\n\t\tchainAddTail: function(index, pt){\n\t\t\treturn push('chain_add_tail', { index: index, pt: pt, });\n\t\t},\n\t\tchainConnect: function(index1, index2){\n\t\t\treturn push('chain_con', { index1: index1, index2: index2 });\n\t\t},\n\t\tchainReverse: function(index){\n\t\t\treturn push('chain_rev', { index: index });\n\t\t},\n\t\tchainJoin: function(index1, index2){\n\t\t\treturn push('chain_join', { index1: index1, index2: index2 });\n\t\t},\n\t\tdone: function(){\n\t\t\treturn push('done');\n\t\t}\n\t};\n\treturn my;\n}\n\nmodule.exports = BuildLog;\n\n},{}],458:[function(_dereq_,module,exports){\n// (c) Copyright 2016, Sean Connelly (@voidqk), http://syntheti.cc\n// MIT License\n// Project Home: https://github.com/voidqk/polybooljs\n\n//\n// provides the raw computation functions that takes epsilon into account\n//\n// zero is defined to be between (-epsilon, epsilon) exclusive\n//\n\nfunction Epsilon(eps){\n\tif (typeof eps !== 'number')\n\t\teps = 0.0000000001; // sane default? sure why not\n\tvar my = {\n\t\tepsilon: function(v){\n\t\t\tif (typeof v === 'number')\n\t\t\t\teps = v;\n\t\t\treturn eps;\n\t\t},\n\t\tpointAboveOrOnLine: function(pt, left, right){\n\t\t\tvar Ax = left[0];\n\t\t\tvar Ay = left[1];\n\t\t\tvar Bx = right[0];\n\t\t\tvar By = right[1];\n\t\t\tvar Cx = pt[0];\n\t\t\tvar Cy = pt[1];\n\t\t\treturn (Bx - Ax) * (Cy - Ay) - (By - Ay) * (Cx - Ax) >= -eps;\n\t\t},\n\t\tpointBetween: function(p, left, right){\n\t\t\t// p must be collinear with left->right\n\t\t\t// returns false if p == left, p == right, or left == right\n\t\t\tvar d_py_ly = p[1] - left[1];\n\t\t\tvar d_rx_lx = right[0] - left[0];\n\t\t\tvar d_px_lx = p[0] - left[0];\n\t\t\tvar d_ry_ly = right[1] - left[1];\n\n\t\t\tvar dot = d_px_lx * d_rx_lx + d_py_ly * d_ry_ly;\n\t\t\t// if `dot` is 0, then `p` == `left` or `left` == `right` (reject)\n\t\t\t// if `dot` is less than 0, then `p` is to the left of `left` (reject)\n\t\t\tif (dot < eps)\n\t\t\t\treturn false;\n\n\t\t\tvar sqlen = d_rx_lx * d_rx_lx + d_ry_ly * d_ry_ly;\n\t\t\t// if `dot` > `sqlen`, then `p` is to the right of `right` (reject)\n\t\t\t// therefore, if `dot - sqlen` is greater than 0, then `p` is to the right of `right` (reject)\n\t\t\tif (dot - sqlen > -eps)\n\t\t\t\treturn false;\n\n\t\t\treturn true;\n\t\t},\n\t\tpointsSameX: function(p1, p2){\n\t\t\treturn Math.abs(p1[0] - p2[0]) < eps;\n\t\t},\n\t\tpointsSameY: function(p1, p2){\n\t\t\treturn Math.abs(p1[1] - p2[1]) < eps;\n\t\t},\n\t\tpointsSame: function(p1, p2){\n\t\t\treturn my.pointsSameX(p1, p2) && my.pointsSameY(p1, p2);\n\t\t},\n\t\tpointsCompare: function(p1, p2){\n\t\t\t// returns -1 if p1 is smaller, 1 if p2 is smaller, 0 if equal\n\t\t\tif (my.pointsSameX(p1, p2))\n\t\t\t\treturn my.pointsSameY(p1, p2) ? 0 : (p1[1] < p2[1] ? -1 : 1);\n\t\t\treturn p1[0] < p2[0] ? -1 : 1;\n\t\t},\n\t\tpointsCollinear: function(pt1, pt2, pt3){\n\t\t\t// does pt1->pt2->pt3 make a straight line?\n\t\t\t// essentially this is just checking to see if the slope(pt1->pt2) === slope(pt2->pt3)\n\t\t\t// if slopes are equal, then they must be collinear, because they share pt2\n\t\t\tvar dx1 = pt1[0] - pt2[0];\n\t\t\tvar dy1 = pt1[1] - pt2[1];\n\t\t\tvar dx2 = pt2[0] - pt3[0];\n\t\t\tvar dy2 = pt2[1] - pt3[1];\n\t\t\treturn Math.abs(dx1 * dy2 - dx2 * dy1) < eps;\n\t\t},\n\t\tlinesIntersect: function(a0, a1, b0, b1){\n\t\t\t// returns false if the lines are coincident (e.g., parallel or on top of each other)\n\t\t\t//\n\t\t\t// returns an object if the lines intersect:\n\t\t\t//   {\n\t\t\t//     pt: [x, y],    where the intersection point is at\n\t\t\t//     alongA: where intersection point is along A,\n\t\t\t//     alongB: where intersection point is along B\n\t\t\t//   }\n\t\t\t//\n\t\t\t//  alongA and alongB will each be one of: -2, -1, 0, 1, 2\n\t\t\t//\n\t\t\t//  with the following meaning:\n\t\t\t//\n\t\t\t//    -2   intersection point is before segment's first point\n\t\t\t//    -1   intersection point is directly on segment's first point\n\t\t\t//     0   intersection point is between segment's first and second points (exclusive)\n\t\t\t//     1   intersection point is directly on segment's second point\n\t\t\t//     2   intersection point is after segment's second point\n\t\t\tvar adx = a1[0] - a0[0];\n\t\t\tvar ady = a1[1] - a0[1];\n\t\t\tvar bdx = b1[0] - b0[0];\n\t\t\tvar bdy = b1[1] - b0[1];\n\n\t\t\tvar axb = adx * bdy - ady * bdx;\n\t\t\tif (Math.abs(axb) < eps)\n\t\t\t\treturn false; // lines are coincident\n\n\t\t\tvar dx = a0[0] - b0[0];\n\t\t\tvar dy = a0[1] - b0[1];\n\n\t\t\tvar A = (bdx * dy - bdy * dx) / axb;\n\t\t\tvar B = (adx * dy - ady * dx) / axb;\n\n\t\t\tvar ret = {\n\t\t\t\talongA: 0,\n\t\t\t\talongB: 0,\n\t\t\t\tpt: [\n\t\t\t\t\ta0[0] + A * adx,\n\t\t\t\t\ta0[1] + A * ady\n\t\t\t\t]\n\t\t\t};\n\n\t\t\t// categorize where intersection point is along A and B\n\n\t\t\tif (A <= -eps)\n\t\t\t\tret.alongA = -2;\n\t\t\telse if (A < eps)\n\t\t\t\tret.alongA = -1;\n\t\t\telse if (A - 1 <= -eps)\n\t\t\t\tret.alongA = 0;\n\t\t\telse if (A - 1 < eps)\n\t\t\t\tret.alongA = 1;\n\t\t\telse\n\t\t\t\tret.alongA = 2;\n\n\t\t\tif (B <= -eps)\n\t\t\t\tret.alongB = -2;\n\t\t\telse if (B < eps)\n\t\t\t\tret.alongB = -1;\n\t\t\telse if (B - 1 <= -eps)\n\t\t\t\tret.alongB = 0;\n\t\t\telse if (B - 1 < eps)\n\t\t\t\tret.alongB = 1;\n\t\t\telse\n\t\t\t\tret.alongB = 2;\n\n\t\t\treturn ret;\n\t\t},\n\t\tpointInsideRegion: function(pt, region){\n\t\t\tvar x = pt[0];\n\t\t\tvar y = pt[1];\n\t\t\tvar last_x = region[region.length - 1][0];\n\t\t\tvar last_y = region[region.length - 1][1];\n\t\t\tvar inside = false;\n\t\t\tfor (var i = 0; i < region.length; i++){\n\t\t\t\tvar curr_x = region[i][0];\n\t\t\t\tvar curr_y = region[i][1];\n\n\t\t\t\t// if y is between curr_y and last_y, and\n\t\t\t\t// x is to the right of the boundary created by the line\n\t\t\t\tif ((curr_y - y > eps) != (last_y - y > eps) &&\n\t\t\t\t\t(last_x - curr_x) * (y - curr_y) / (last_y - curr_y) + curr_x - x > eps)\n\t\t\t\t\tinside = !inside\n\n\t\t\t\tlast_x = curr_x;\n\t\t\t\tlast_y = curr_y;\n\t\t\t}\n\t\t\treturn inside;\n\t\t}\n\t};\n\treturn my;\n}\n\nmodule.exports = Epsilon;\n\n},{}],459:[function(_dereq_,module,exports){\n// (c) Copyright 2017, Sean Connelly (@voidqk), http://syntheti.cc\n// MIT License\n// Project Home: https://github.com/voidqk/polybooljs\n\n//\n// convert between PolyBool polygon format and GeoJSON formats (Polygon and MultiPolygon)\n//\n\nvar GeoJSON = {\n\t// convert a GeoJSON object to a PolyBool polygon\n\ttoPolygon: function(PolyBool, geojson){\n\n\t\t// converts list of LineString's to segments\n\t\tfunction GeoPoly(coords){\n\t\t\t// check for empty coords\n\t\t\tif (coords.length <= 0)\n\t\t\t\treturn PolyBool.segments({ inverted: false, regions: [] });\n\n\t\t\t// convert LineString to segments\n\t\t\tfunction LineString(ls){\n\t\t\t\t// remove tail which should be the same as head\n\t\t\t\tvar reg = ls.slice(0, ls.length - 1);\n\t\t\t\treturn PolyBool.segments({ inverted: false, regions: [reg] });\n\t\t\t}\n\n\t\t\t// the first LineString is considered the outside\n\t\t\tvar out = LineString(coords[0]);\n\n\t\t\t// the rest of the LineStrings are considered interior holes, so subtract them from the\n\t\t\t// current result\n\t\t\tfor (var i = 1; i < coords.length; i++)\n\t\t\t\tout = PolyBool.selectDifference(PolyBool.combine(out, LineString(coords[i])));\n\n\t\t\treturn out;\n\t\t}\n\n\t\tif (geojson.type === 'Polygon'){\n\t\t\t// single polygon, so just convert it and we're done\n\t\t\treturn PolyBool.polygon(GeoPoly(geojson.coordinates));\n\t\t}\n\t\telse if (geojson.type === 'MultiPolygon'){\n\t\t\t// multiple polygons, so union all the polygons together\n\t\t\tvar out = PolyBool.segments({ inverted: false, regions: [] });\n\t\t\tfor (var i = 0; i < geojson.coordinates.length; i++)\n\t\t\t\tout = PolyBool.selectUnion(PolyBool.combine(out, GeoPoly(geojson.coordinates[i])));\n\t\t\treturn PolyBool.polygon(out);\n\t\t}\n\t\tthrow new Error('PolyBool: Cannot convert GeoJSON object to PolyBool polygon');\n\t},\n\n\t// convert a PolyBool polygon to a GeoJSON object\n\tfromPolygon: function(PolyBool, eps, poly){\n\t\t// make sure out polygon is clean\n\t\tpoly = PolyBool.polygon(PolyBool.segments(poly));\n\n\t\t// test if r1 is inside r2\n\t\tfunction regionInsideRegion(r1, r2){\n\t\t\t// we're guaranteed no lines intersect (because the polygon is clean), but a vertex\n\t\t\t// could be on the edge -- so we just average pt[0] and pt[1] to produce a point on the\n\t\t\t// edge of the first line, which cannot be on an edge\n\t\t\treturn eps.pointInsideRegion([\n\t\t\t\t(r1[0][0] + r1[1][0]) * 0.5,\n\t\t\t\t(r1[0][1] + r1[1][1]) * 0.5\n\t\t\t], r2);\n\t\t}\n\n\t\t// calculate inside heirarchy\n\t\t//\n\t\t//  _____________________   _______    roots -> A       -> F\n\t\t// |          A          | |   F   |            |          |\n\t\t// |  _______   _______  | |  ___  |            +-- B      +-- G\n\t\t// | |   B   | |   C   | | | |   | |            |   |\n\t\t// | |  ___  | |  ___  | | | |   | |            |   +-- D\n\t\t// | | | D | | | | E | | | | | G | |            |\n\t\t// | | |___| | | |___| | | | |   | |            +-- C\n\t\t// | |_______| |_______| | | |___| |                |\n\t\t// |_____________________| |_______|                +-- E\n\n\t\tfunction newNode(region){\n\t\t\treturn {\n\t\t\t\tregion: region,\n\t\t\t\tchildren: []\n\t\t\t};\n\t\t}\n\n\t\tvar roots = newNode(null);\n\n\t\tfunction addChild(root, region){\n\t\t\t// first check if we're inside any children\n\t\t\tfor (var i = 0; i < root.children.length; i++){\n\t\t\t\tvar child = root.children[i];\n\t\t\t\tif (regionInsideRegion(region, child.region)){\n\t\t\t\t\t// we are, so insert inside them instead\n\t\t\t\t\taddChild(child, region);\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// not inside any children, so check to see if any children are inside us\n\t\t\tvar node = newNode(region);\n\t\t\tfor (var i = 0; i < root.children.length; i++){\n\t\t\t\tvar child = root.children[i];\n\t\t\t\tif (regionInsideRegion(child.region, region)){\n\t\t\t\t\t// oops... move the child beneath us, and remove them from root\n\t\t\t\t\tnode.children.push(child);\n\t\t\t\t\troot.children.splice(i, 1);\n\t\t\t\t\ti--;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// now we can add ourselves\n\t\t\troot.children.push(node);\n\t\t}\n\n\t\t// add all regions to the root\n\t\tfor (var i = 0; i < poly.regions.length; i++){\n\t\t\tvar region = poly.regions[i];\n\t\t\tif (region.length < 3) // regions must have at least 3 points (sanity check)\n\t\t\t\tcontinue;\n\t\t\taddChild(roots, region);\n\t\t}\n\n\t\t// with our heirarchy, we can distinguish between exterior borders, and interior holes\n\t\t// the root nodes are exterior, children are interior, children's children are exterior,\n\t\t// children's children's children are interior, etc\n\n\t\t// while we're at it, exteriors are counter-clockwise, and interiors are clockwise\n\n\t\tfunction forceWinding(region, clockwise){\n\t\t\t// first, see if we're clockwise or counter-clockwise\n\t\t\t// https://en.wikipedia.org/wiki/Shoelace_formula\n\t\t\tvar winding = 0;\n\t\t\tvar last_x = region[region.length - 1][0];\n\t\t\tvar last_y = region[region.length - 1][1];\n\t\t\tvar copy = [];\n\t\t\tfor (var i = 0; i < region.length; i++){\n\t\t\t\tvar curr_x = region[i][0];\n\t\t\t\tvar curr_y = region[i][1];\n\t\t\t\tcopy.push([curr_x, curr_y]); // create a copy while we're at it\n\t\t\t\twinding += curr_y * last_x - curr_x * last_y;\n\t\t\t\tlast_x = curr_x;\n\t\t\t\tlast_y = curr_y;\n\t\t\t}\n\t\t\t// this assumes Cartesian coordinates (Y is positive going up)\n\t\t\tvar isclockwise = winding < 0;\n\t\t\tif (isclockwise !== clockwise)\n\t\t\t\tcopy.reverse();\n\t\t\t// while we're here, the last point must be the first point...\n\t\t\tcopy.push([copy[0][0], copy[0][1]]);\n\t\t\treturn copy;\n\t\t}\n\n\t\tvar geopolys = [];\n\n\t\tfunction addExterior(node){\n\t\t\tvar poly = [forceWinding(node.region, false)];\n\t\t\tgeopolys.push(poly);\n\t\t\t// children of exteriors are interior\n\t\t\tfor (var i = 0; i < node.children.length; i++)\n\t\t\t\tpoly.push(getInterior(node.children[i]));\n\t\t}\n\n\t\tfunction getInterior(node){\n\t\t\t// children of interiors are exterior\n\t\t\tfor (var i = 0; i < node.children.length; i++)\n\t\t\t\taddExterior(node.children[i]);\n\t\t\t// return the clockwise interior\n\t\t\treturn forceWinding(node.region, true);\n\t\t}\n\n\t\t// root nodes are exterior\n\t\tfor (var i = 0; i < roots.children.length; i++)\n\t\t\taddExterior(roots.children[i]);\n\n\t\t// lastly, construct the approrpriate GeoJSON object\n\n\t\tif (geopolys.length <= 0) // empty GeoJSON Polygon\n\t\t\treturn { type: 'Polygon', coordinates: [] };\n\t\tif (geopolys.length == 1) // use a GeoJSON Polygon\n\t\t\treturn { type: 'Polygon', coordinates: geopolys[0] };\n\t\treturn { // otherwise, use a GeoJSON MultiPolygon\n\t\t\ttype: 'MultiPolygon',\n\t\t\tcoordinates: geopolys\n\t\t};\n\t}\n};\n\nmodule.exports = GeoJSON;\n\n},{}],460:[function(_dereq_,module,exports){\n// (c) Copyright 2016, Sean Connelly (@voidqk), http://syntheti.cc\n// MIT License\n// Project Home: https://github.com/voidqk/polybooljs\n\n//\n// this is the core work-horse\n//\n\nvar LinkedList = _dereq_('./linked-list');\n\nfunction Intersecter(selfIntersection, eps, buildLog){\n\t// selfIntersection is true/false depending on the phase of the overall algorithm\n\n\t//\n\t// segment creation\n\t//\n\n\tfunction segmentNew(start, end){\n\t\treturn {\n\t\t\tid: buildLog ? buildLog.segmentId() : -1,\n\t\t\tstart: start,\n\t\t\tend: end,\n\t\t\tmyFill: {\n\t\t\t\tabove: null, // is there fill above us?\n\t\t\t\tbelow: null  // is there fill below us?\n\t\t\t},\n\t\t\totherFill: null\n\t\t};\n\t}\n\n\tfunction segmentCopy(start, end, seg){\n\t\treturn {\n\t\t\tid: buildLog ? buildLog.segmentId() : -1,\n\t\t\tstart: start,\n\t\t\tend: end,\n\t\t\tmyFill: {\n\t\t\t\tabove: seg.myFill.above,\n\t\t\t\tbelow: seg.myFill.below\n\t\t\t},\n\t\t\totherFill: null\n\t\t};\n\t}\n\n\t//\n\t// event logic\n\t//\n\n\tvar event_root = LinkedList.create();\n\n\tfunction eventCompare(p1_isStart, p1_1, p1_2, p2_isStart, p2_1, p2_2){\n\t\t// compare the selected points first\n\t\tvar comp = eps.pointsCompare(p1_1, p2_1);\n\t\tif (comp !== 0)\n\t\t\treturn comp;\n\t\t// the selected points are the same\n\n\t\tif (eps.pointsSame(p1_2, p2_2)) // if the non-selected points are the same too...\n\t\t\treturn 0; // then the segments are equal\n\n\t\tif (p1_isStart !== p2_isStart) // if one is a start and the other isn't...\n\t\t\treturn p1_isStart ? 1 : -1; // favor the one that isn't the start\n\n\t\t// otherwise, we'll have to calculate which one is below the other manually\n\t\treturn eps.pointAboveOrOnLine(p1_2,\n\t\t\tp2_isStart ? p2_1 : p2_2, // order matters\n\t\t\tp2_isStart ? p2_2 : p2_1\n\t\t) ? 1 : -1;\n\t}\n\n\tfunction eventAdd(ev, other_pt){\n\t\tevent_root.insertBefore(ev, function(here){\n\t\t\t// should ev be inserted before here?\n\t\t\tvar comp = eventCompare(\n\t\t\t\tev  .isStart, ev  .pt,      other_pt,\n\t\t\t\there.isStart, here.pt, here.other.pt\n\t\t\t);\n\t\t\treturn comp < 0;\n\t\t});\n\t}\n\n\tfunction eventAddSegmentStart(seg, primary){\n\t\tvar ev_start = LinkedList.node({\n\t\t\tisStart: true,\n\t\t\tpt: seg.start,\n\t\t\tseg: seg,\n\t\t\tprimary: primary,\n\t\t\tother: null,\n\t\t\tstatus: null\n\t\t});\n\t\teventAdd(ev_start, seg.end);\n\t\treturn ev_start;\n\t}\n\n\tfunction eventAddSegmentEnd(ev_start, seg, primary){\n\t\tvar ev_end = LinkedList.node({\n\t\t\tisStart: false,\n\t\t\tpt: seg.end,\n\t\t\tseg: seg,\n\t\t\tprimary: primary,\n\t\t\tother: ev_start,\n\t\t\tstatus: null\n\t\t});\n\t\tev_start.other = ev_end;\n\t\teventAdd(ev_end, ev_start.pt);\n\t}\n\n\tfunction eventAddSegment(seg, primary){\n\t\tvar ev_start = eventAddSegmentStart(seg, primary);\n\t\teventAddSegmentEnd(ev_start, seg, primary);\n\t\treturn ev_start;\n\t}\n\n\tfunction eventUpdateEnd(ev, end){\n\t\t// slides an end backwards\n\t\t//   (start)------------(end)    to:\n\t\t//   (start)---(end)\n\n\t\tif (buildLog)\n\t\t\tbuildLog.segmentChop(ev.seg, end);\n\n\t\tev.other.remove();\n\t\tev.seg.end = end;\n\t\tev.other.pt = end;\n\t\teventAdd(ev.other, ev.pt);\n\t}\n\n\tfunction eventDivide(ev, pt){\n\t\tvar ns = segmentCopy(pt, ev.seg.end, ev.seg);\n\t\teventUpdateEnd(ev, pt);\n\t\treturn eventAddSegment(ns, ev.primary);\n\t}\n\n\tfunction calculate(primaryPolyInverted, secondaryPolyInverted){\n\t\t// if selfIntersection is true then there is no secondary polygon, so that isn't used\n\n\t\t//\n\t\t// status logic\n\t\t//\n\n\t\tvar status_root = LinkedList.create();\n\n\t\tfunction statusCompare(ev1, ev2){\n\t\t\tvar a1 = ev1.seg.start;\n\t\t\tvar a2 = ev1.seg.end;\n\t\t\tvar b1 = ev2.seg.start;\n\t\t\tvar b2 = ev2.seg.end;\n\n\t\t\tif (eps.pointsCollinear(a1, b1, b2)){\n\t\t\t\tif (eps.pointsCollinear(a2, b1, b2))\n\t\t\t\t\treturn 1;//eventCompare(true, a1, a2, true, b1, b2);\n\t\t\t\treturn eps.pointAboveOrOnLine(a2, b1, b2) ? 1 : -1;\n\t\t\t}\n\t\t\treturn eps.pointAboveOrOnLine(a1, b1, b2) ? 1 : -1;\n\t\t}\n\n\t\tfunction statusFindSurrounding(ev){\n\t\t\treturn status_root.findTransition(function(here){\n\t\t\t\tvar comp = statusCompare(ev, here.ev);\n\t\t\t\treturn comp > 0;\n\t\t\t});\n\t\t}\n\n\t\tfunction checkIntersection(ev1, ev2){\n\t\t\t// returns the segment equal to ev1, or false if nothing equal\n\n\t\t\tvar seg1 = ev1.seg;\n\t\t\tvar seg2 = ev2.seg;\n\t\t\tvar a1 = seg1.start;\n\t\t\tvar a2 = seg1.end;\n\t\t\tvar b1 = seg2.start;\n\t\t\tvar b2 = seg2.end;\n\n\t\t\tif (buildLog)\n\t\t\t\tbuildLog.checkIntersection(seg1, seg2);\n\n\t\t\tvar i = eps.linesIntersect(a1, a2, b1, b2);\n\n\t\t\tif (i === false){\n\t\t\t\t// segments are parallel or coincident\n\n\t\t\t\t// if points aren't collinear, then the segments are parallel, so no intersections\n\t\t\t\tif (!eps.pointsCollinear(a1, a2, b1))\n\t\t\t\t\treturn false;\n\t\t\t\t// otherwise, segments are on top of each other somehow (aka coincident)\n\n\t\t\t\tif (eps.pointsSame(a1, b2) || eps.pointsSame(a2, b1))\n\t\t\t\t\treturn false; // segments touch at endpoints... no intersection\n\n\t\t\t\tvar a1_equ_b1 = eps.pointsSame(a1, b1);\n\t\t\t\tvar a2_equ_b2 = eps.pointsSame(a2, b2);\n\n\t\t\t\tif (a1_equ_b1 && a2_equ_b2)\n\t\t\t\t\treturn ev2; // segments are exactly equal\n\n\t\t\t\tvar a1_between = !a1_equ_b1 && eps.pointBetween(a1, b1, b2);\n\t\t\t\tvar a2_between = !a2_equ_b2 && eps.pointBetween(a2, b1, b2);\n\n\t\t\t\t// handy for debugging:\n\t\t\t\t// buildLog.log({\n\t\t\t\t//\ta1_equ_b1: a1_equ_b1,\n\t\t\t\t//\ta2_equ_b2: a2_equ_b2,\n\t\t\t\t//\ta1_between: a1_between,\n\t\t\t\t//\ta2_between: a2_between\n\t\t\t\t// });\n\n\t\t\t\tif (a1_equ_b1){\n\t\t\t\t\tif (a2_between){\n\t\t\t\t\t\t//  (a1)---(a2)\n\t\t\t\t\t\t//  (b1)----------(b2)\n\t\t\t\t\t\teventDivide(ev2, a2);\n\t\t\t\t\t}\n\t\t\t\t\telse{\n\t\t\t\t\t\t//  (a1)----------(a2)\n\t\t\t\t\t\t//  (b1)---(b2)\n\t\t\t\t\t\teventDivide(ev1, b2);\n\t\t\t\t\t}\n\t\t\t\t\treturn ev2;\n\t\t\t\t}\n\t\t\t\telse if (a1_between){\n\t\t\t\t\tif (!a2_equ_b2){\n\t\t\t\t\t\t// make a2 equal to b2\n\t\t\t\t\t\tif (a2_between){\n\t\t\t\t\t\t\t//         (a1)---(a2)\n\t\t\t\t\t\t\t//  (b1)-----------------(b2)\n\t\t\t\t\t\t\teventDivide(ev2, a2);\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse{\n\t\t\t\t\t\t\t//         (a1)----------(a2)\n\t\t\t\t\t\t\t//  (b1)----------(b2)\n\t\t\t\t\t\t\teventDivide(ev1, b2);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t//         (a1)---(a2)\n\t\t\t\t\t//  (b1)----------(b2)\n\t\t\t\t\teventDivide(ev2, a1);\n\t\t\t\t}\n\t\t\t}\n\t\t\telse{\n\t\t\t\t// otherwise, lines intersect at i.pt, which may or may not be between the endpoints\n\n\t\t\t\t// is A divided between its endpoints? (exclusive)\n\t\t\t\tif (i.alongA === 0){\n\t\t\t\t\tif (i.alongB === -1) // yes, at exactly b1\n\t\t\t\t\t\teventDivide(ev1, b1);\n\t\t\t\t\telse if (i.alongB === 0) // yes, somewhere between B's endpoints\n\t\t\t\t\t\teventDivide(ev1, i.pt);\n\t\t\t\t\telse if (i.alongB === 1) // yes, at exactly b2\n\t\t\t\t\t\teventDivide(ev1, b2);\n\t\t\t\t}\n\n\t\t\t\t// is B divided between its endpoints? (exclusive)\n\t\t\t\tif (i.alongB === 0){\n\t\t\t\t\tif (i.alongA === -1) // yes, at exactly a1\n\t\t\t\t\t\teventDivide(ev2, a1);\n\t\t\t\t\telse if (i.alongA === 0) // yes, somewhere between A's endpoints (exclusive)\n\t\t\t\t\t\teventDivide(ev2, i.pt);\n\t\t\t\t\telse if (i.alongA === 1) // yes, at exactly a2\n\t\t\t\t\t\teventDivide(ev2, a2);\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false;\n\t\t}\n\n\t\t//\n\t\t// main event loop\n\t\t//\n\t\tvar segments = [];\n\t\twhile (!event_root.isEmpty()){\n\t\t\tvar ev = event_root.getHead();\n\n\t\t\tif (buildLog)\n\t\t\t\tbuildLog.vert(ev.pt[0]);\n\n\t\t\tif (ev.isStart){\n\n\t\t\t\tif (buildLog)\n\t\t\t\t\tbuildLog.segmentNew(ev.seg, ev.primary);\n\n\t\t\t\tvar surrounding = statusFindSurrounding(ev);\n\t\t\t\tvar above = surrounding.before ? surrounding.before.ev : null;\n\t\t\t\tvar below = surrounding.after ? surrounding.after.ev : null;\n\n\t\t\t\tif (buildLog){\n\t\t\t\t\tbuildLog.tempStatus(\n\t\t\t\t\t\tev.seg,\n\t\t\t\t\t\tabove ? above.seg : false,\n\t\t\t\t\t\tbelow ? below.seg : false\n\t\t\t\t\t);\n\t\t\t\t}\n\n\t\t\t\tfunction checkBothIntersections(){\n\t\t\t\t\tif (above){\n\t\t\t\t\t\tvar eve = checkIntersection(ev, above);\n\t\t\t\t\t\tif (eve)\n\t\t\t\t\t\t\treturn eve;\n\t\t\t\t\t}\n\t\t\t\t\tif (below)\n\t\t\t\t\t\treturn checkIntersection(ev, below);\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\n\t\t\t\tvar eve = checkBothIntersections();\n\t\t\t\tif (eve){\n\t\t\t\t\t// ev and eve are equal\n\t\t\t\t\t// we'll keep eve and throw away ev\n\n\t\t\t\t\t// merge ev.seg's fill information into eve.seg\n\n\t\t\t\t\tif (selfIntersection){\n\t\t\t\t\t\tvar toggle; // are we a toggling edge?\n\t\t\t\t\t\tif (ev.seg.myFill.below === null)\n\t\t\t\t\t\t\ttoggle = true;\n\t\t\t\t\t\telse\n\t\t\t\t\t\t\ttoggle = ev.seg.myFill.above !== ev.seg.myFill.below;\n\n\t\t\t\t\t\t// merge two segments that belong to the same polygon\n\t\t\t\t\t\t// think of this as sandwiching two segments together, where `eve.seg` is\n\t\t\t\t\t\t// the bottom -- this will cause the above fill flag to toggle\n\t\t\t\t\t\tif (toggle)\n\t\t\t\t\t\t\teve.seg.myFill.above = !eve.seg.myFill.above;\n\t\t\t\t\t}\n\t\t\t\t\telse{\n\t\t\t\t\t\t// merge two segments that belong to different polygons\n\t\t\t\t\t\t// each segment has distinct knowledge, so no special logic is needed\n\t\t\t\t\t\t// note that this can only happen once per segment in this phase, because we\n\t\t\t\t\t\t// are guaranteed that all self-intersections are gone\n\t\t\t\t\t\teve.seg.otherFill = ev.seg.myFill;\n\t\t\t\t\t}\n\n\t\t\t\t\tif (buildLog)\n\t\t\t\t\t\tbuildLog.segmentUpdate(eve.seg);\n\n\t\t\t\t\tev.other.remove();\n\t\t\t\t\tev.remove();\n\t\t\t\t}\n\n\t\t\t\tif (event_root.getHead() !== ev){\n\t\t\t\t\t// something was inserted before us in the event queue, so loop back around and\n\t\t\t\t\t// process it before continuing\n\t\t\t\t\tif (buildLog)\n\t\t\t\t\t\tbuildLog.rewind(ev.seg);\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\n\t\t\t\t//\n\t\t\t\t// calculate fill flags\n\t\t\t\t//\n\t\t\t\tif (selfIntersection){\n\t\t\t\t\tvar toggle; // are we a toggling edge?\n\t\t\t\t\tif (ev.seg.myFill.below === null) // if we are a new segment...\n\t\t\t\t\t\ttoggle = true; // then we toggle\n\t\t\t\t\telse // we are a segment that has previous knowledge from a division\n\t\t\t\t\t\ttoggle = ev.seg.myFill.above !== ev.seg.myFill.below; // calculate toggle\n\n\t\t\t\t\t// next, calculate whether we are filled below us\n\t\t\t\t\tif (!below){ // if nothing is below us...\n\t\t\t\t\t\t// we are filled below us if the polygon is inverted\n\t\t\t\t\t\tev.seg.myFill.below = primaryPolyInverted;\n\t\t\t\t\t}\n\t\t\t\t\telse{\n\t\t\t\t\t\t// otherwise, we know the answer -- it's the same if whatever is below\n\t\t\t\t\t\t// us is filled above it\n\t\t\t\t\t\tev.seg.myFill.below = below.seg.myFill.above;\n\t\t\t\t\t}\n\n\t\t\t\t\t// since now we know if we're filled below us, we can calculate whether\n\t\t\t\t\t// we're filled above us by applying toggle to whatever is below us\n\t\t\t\t\tif (toggle)\n\t\t\t\t\t\tev.seg.myFill.above = !ev.seg.myFill.below;\n\t\t\t\t\telse\n\t\t\t\t\t\tev.seg.myFill.above = ev.seg.myFill.below;\n\t\t\t\t}\n\t\t\t\telse{\n\t\t\t\t\t// now we fill in any missing transition information, since we are all-knowing\n\t\t\t\t\t// at this point\n\n\t\t\t\t\tif (ev.seg.otherFill === null){\n\t\t\t\t\t\t// if we don't have other information, then we need to figure out if we're\n\t\t\t\t\t\t// inside the other polygon\n\t\t\t\t\t\tvar inside;\n\t\t\t\t\t\tif (!below){\n\t\t\t\t\t\t\t// if nothing is below us, then we're inside if the other polygon is\n\t\t\t\t\t\t\t// inverted\n\t\t\t\t\t\t\tinside =\n\t\t\t\t\t\t\t\tev.primary ? secondaryPolyInverted : primaryPolyInverted;\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse{ // otherwise, something is below us\n\t\t\t\t\t\t\t// so copy the below segment's other polygon's above\n\t\t\t\t\t\t\tif (ev.primary === below.primary)\n\t\t\t\t\t\t\t\tinside = below.seg.otherFill.above;\n\t\t\t\t\t\t\telse\n\t\t\t\t\t\t\t\tinside = below.seg.myFill.above;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tev.seg.otherFill = {\n\t\t\t\t\t\t\tabove: inside,\n\t\t\t\t\t\t\tbelow: inside\n\t\t\t\t\t\t};\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tif (buildLog){\n\t\t\t\t\tbuildLog.status(\n\t\t\t\t\t\tev.seg,\n\t\t\t\t\t\tabove ? above.seg : false,\n\t\t\t\t\t\tbelow ? below.seg : false\n\t\t\t\t\t);\n\t\t\t\t}\n\n\t\t\t\t// insert the status and remember it for later removal\n\t\t\t\tev.other.status = surrounding.insert(LinkedList.node({ ev: ev }));\n\t\t\t}\n\t\t\telse{\n\t\t\t\tvar st = ev.status;\n\n\t\t\t\tif (st === null){\n\t\t\t\t\tthrow new Error('PolyBool: Zero-length segment detected; your epsilon is ' +\n\t\t\t\t\t\t'probably too small or too large');\n\t\t\t\t}\n\n\t\t\t\t// removing the status will create two new adjacent edges, so we'll need to check\n\t\t\t\t// for those\n\t\t\t\tif (status_root.exists(st.prev) && status_root.exists(st.next))\n\t\t\t\t\tcheckIntersection(st.prev.ev, st.next.ev);\n\n\t\t\t\tif (buildLog)\n\t\t\t\t\tbuildLog.statusRemove(st.ev.seg);\n\n\t\t\t\t// remove the status\n\t\t\t\tst.remove();\n\n\t\t\t\t// if we've reached this point, we've calculated everything there is to know, so\n\t\t\t\t// save the segment for reporting\n\t\t\t\tif (!ev.primary){\n\t\t\t\t\t// make sure `seg.myFill` actually points to the primary polygon though\n\t\t\t\t\tvar s = ev.seg.myFill;\n\t\t\t\t\tev.seg.myFill = ev.seg.otherFill;\n\t\t\t\t\tev.seg.otherFill = s;\n\t\t\t\t}\n\t\t\t\tsegments.push(ev.seg);\n\t\t\t}\n\n\t\t\t// remove the event and continue\n\t\t\tevent_root.getHead().remove();\n\t\t}\n\n\t\tif (buildLog)\n\t\t\tbuildLog.done();\n\n\t\treturn segments;\n\t}\n\n\t// return the appropriate API depending on what we're doing\n\tif (!selfIntersection){\n\t\t// performing combination of polygons, so only deal with already-processed segments\n\t\treturn {\n\t\t\tcalculate: function(segments1, inverted1, segments2, inverted2){\n\t\t\t\t// segmentsX come from the self-intersection API, or this API\n\t\t\t\t// invertedX is whether we treat that list of segments as an inverted polygon or not\n\t\t\t\t// returns segments that can be used for further operations\n\t\t\t\tsegments1.forEach(function(seg){\n\t\t\t\t\teventAddSegment(segmentCopy(seg.start, seg.end, seg), true);\n\t\t\t\t});\n\t\t\t\tsegments2.forEach(function(seg){\n\t\t\t\t\teventAddSegment(segmentCopy(seg.start, seg.end, seg), false);\n\t\t\t\t});\n\t\t\t\treturn calculate(inverted1, inverted2);\n\t\t\t}\n\t\t};\n\t}\n\n\t// otherwise, performing self-intersection, so deal with regions\n\treturn {\n\t\taddRegion: function(region){\n\t\t\t// regions are a list of points:\n\t\t\t//  [ [0, 0], [100, 0], [50, 100] ]\n\t\t\t// you can add multiple regions before running calculate\n\t\t\tvar pt1;\n\t\t\tvar pt2 = region[region.length - 1];\n\t\t\tfor (var i = 0; i < region.length; i++){\n\t\t\t\tpt1 = pt2;\n\t\t\t\tpt2 = region[i];\n\n\t\t\t\tvar forward = eps.pointsCompare(pt1, pt2);\n\t\t\t\tif (forward === 0) // points are equal, so we have a zero-length segment\n\t\t\t\t\tcontinue; // just skip it\n\n\t\t\t\teventAddSegment(\n\t\t\t\t\tsegmentNew(\n\t\t\t\t\t\tforward < 0 ? pt1 : pt2,\n\t\t\t\t\t\tforward < 0 ? pt2 : pt1\n\t\t\t\t\t),\n\t\t\t\t\ttrue\n\t\t\t\t);\n\t\t\t}\n\t\t},\n\t\tcalculate: function(inverted){\n\t\t\t// is the polygon inverted?\n\t\t\t// returns segments\n\t\t\treturn calculate(inverted, false);\n\t\t}\n\t};\n}\n\nmodule.exports = Intersecter;\n\n},{\"./linked-list\":461}],461:[function(_dereq_,module,exports){\n// (c) Copyright 2016, Sean Connelly (@voidqk), http://syntheti.cc\n// MIT License\n// Project Home: https://github.com/voidqk/polybooljs\n\n//\n// simple linked list implementation that allows you to traverse down nodes and save positions\n//\n\nvar LinkedList = {\n\tcreate: function(){\n\t\tvar my = {\n\t\t\troot: { root: true, next: null },\n\t\t\texists: function(node){\n\t\t\t\tif (node === null || node === my.root)\n\t\t\t\t\treturn false;\n\t\t\t\treturn true;\n\t\t\t},\n\t\t\tisEmpty: function(){\n\t\t\t\treturn my.root.next === null;\n\t\t\t},\n\t\t\tgetHead: function(){\n\t\t\t\treturn my.root.next;\n\t\t\t},\n\t\t\tinsertBefore: function(node, check){\n\t\t\t\tvar last = my.root;\n\t\t\t\tvar here = my.root.next;\n\t\t\t\twhile (here !== null){\n\t\t\t\t\tif (check(here)){\n\t\t\t\t\t\tnode.prev = here.prev;\n\t\t\t\t\t\tnode.next = here;\n\t\t\t\t\t\there.prev.next = node;\n\t\t\t\t\t\there.prev = node;\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t\tlast = here;\n\t\t\t\t\there = here.next;\n\t\t\t\t}\n\t\t\t\tlast.next = node;\n\t\t\t\tnode.prev = last;\n\t\t\t\tnode.next = null;\n\t\t\t},\n\t\t\tfindTransition: function(check){\n\t\t\t\tvar prev = my.root;\n\t\t\t\tvar here = my.root.next;\n\t\t\t\twhile (here !== null){\n\t\t\t\t\tif (check(here))\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tprev = here;\n\t\t\t\t\there = here.next;\n\t\t\t\t}\n\t\t\t\treturn {\n\t\t\t\t\tbefore: prev === my.root ? null : prev,\n\t\t\t\t\tafter: here,\n\t\t\t\t\tinsert: function(node){\n\t\t\t\t\t\tnode.prev = prev;\n\t\t\t\t\t\tnode.next = here;\n\t\t\t\t\t\tprev.next = node;\n\t\t\t\t\t\tif (here !== null)\n\t\t\t\t\t\t\there.prev = node;\n\t\t\t\t\t\treturn node;\n\t\t\t\t\t}\n\t\t\t\t};\n\t\t\t}\n\t\t};\n\t\treturn my;\n\t},\n\tnode: function(data){\n\t\tdata.prev = null;\n\t\tdata.next = null;\n\t\tdata.remove = function(){\n\t\t\tdata.prev.next = data.next;\n\t\t\tif (data.next)\n\t\t\t\tdata.next.prev = data.prev;\n\t\t\tdata.prev = null;\n\t\t\tdata.next = null;\n\t\t};\n\t\treturn data;\n\t}\n};\n\nmodule.exports = LinkedList;\n\n},{}],462:[function(_dereq_,module,exports){\n// (c) Copyright 2016, Sean Connelly (@voidqk), http://syntheti.cc\n// MIT License\n// Project Home: https://github.com/voidqk/polybooljs\n\n//\n// converts a list of segments into a list of regions, while also removing unnecessary verticies\n//\n\nfunction SegmentChainer(segments, eps, buildLog){\n\tvar chains = [];\n\tvar regions = [];\n\n\tsegments.forEach(function(seg){\n\t\tvar pt1 = seg.start;\n\t\tvar pt2 = seg.end;\n\t\tif (eps.pointsSame(pt1, pt2)){\n\t\t\tconsole.warn('PolyBool: Warning: Zero-length segment detected; your epsilon is ' +\n\t\t\t\t'probably too small or too large');\n\t\t\treturn;\n\t\t}\n\n\t\tif (buildLog)\n\t\t\tbuildLog.chainStart(seg);\n\n\t\t// search for two chains that this segment matches\n\t\tvar first_match = {\n\t\t\tindex: 0,\n\t\t\tmatches_head: false,\n\t\t\tmatches_pt1: false\n\t\t};\n\t\tvar second_match = {\n\t\t\tindex: 0,\n\t\t\tmatches_head: false,\n\t\t\tmatches_pt1: false\n\t\t};\n\t\tvar next_match = first_match;\n\t\tfunction setMatch(index, matches_head, matches_pt1){\n\t\t\t// return true if we've matched twice\n\t\t\tnext_match.index = index;\n\t\t\tnext_match.matches_head = matches_head;\n\t\t\tnext_match.matches_pt1 = matches_pt1;\n\t\t\tif (next_match === first_match){\n\t\t\t\tnext_match = second_match;\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\tnext_match = null;\n\t\t\treturn true; // we've matched twice, we're done here\n\t\t}\n\t\tfor (var i = 0; i < chains.length; i++){\n\t\t\tvar chain = chains[i];\n\t\t\tvar head  = chain[0];\n\t\t\tvar head2 = chain[1];\n\t\t\tvar tail  = chain[chain.length - 1];\n\t\t\tvar tail2 = chain[chain.length - 2];\n\t\t\tif (eps.pointsSame(head, pt1)){\n\t\t\t\tif (setMatch(i, true, true))\n\t\t\t\t\tbreak;\n\t\t\t}\n\t\t\telse if (eps.pointsSame(head, pt2)){\n\t\t\t\tif (setMatch(i, true, false))\n\t\t\t\t\tbreak;\n\t\t\t}\n\t\t\telse if (eps.pointsSame(tail, pt1)){\n\t\t\t\tif (setMatch(i, false, true))\n\t\t\t\t\tbreak;\n\t\t\t}\n\t\t\telse if (eps.pointsSame(tail, pt2)){\n\t\t\t\tif (setMatch(i, false, false))\n\t\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\n\t\tif (next_match === first_match){\n\t\t\t// we didn't match anything, so create a new chain\n\t\t\tchains.push([ pt1, pt2 ]);\n\t\t\tif (buildLog)\n\t\t\t\tbuildLog.chainNew(pt1, pt2);\n\t\t\treturn;\n\t\t}\n\n\t\tif (next_match === second_match){\n\t\t\t// we matched a single chain\n\n\t\t\tif (buildLog)\n\t\t\t\tbuildLog.chainMatch(first_match.index);\n\n\t\t\t// add the other point to the apporpriate end, and check to see if we've closed the\n\t\t\t// chain into a loop\n\n\t\t\tvar index = first_match.index;\n\t\t\tvar pt = first_match.matches_pt1 ? pt2 : pt1; // if we matched pt1, then we add pt2, etc\n\t\t\tvar addToHead = first_match.matches_head; // if we matched at head, then add to the head\n\n\t\t\tvar chain = chains[index];\n\t\t\tvar grow  = addToHead ? chain[0] : chain[chain.length - 1];\n\t\t\tvar grow2 = addToHead ? chain[1] : chain[chain.length - 2];\n\t\t\tvar oppo  = addToHead ? chain[chain.length - 1] : chain[0];\n\t\t\tvar oppo2 = addToHead ? chain[chain.length - 2] : chain[1];\n\n\t\t\tif (eps.pointsCollinear(grow2, grow, pt)){\n\t\t\t\t// grow isn't needed because it's directly between grow2 and pt:\n\t\t\t\t// grow2 ---grow---> pt\n\t\t\t\tif (addToHead){\n\t\t\t\t\tif (buildLog)\n\t\t\t\t\t\tbuildLog.chainRemoveHead(first_match.index, pt);\n\t\t\t\t\tchain.shift();\n\t\t\t\t}\n\t\t\t\telse{\n\t\t\t\t\tif (buildLog)\n\t\t\t\t\t\tbuildLog.chainRemoveTail(first_match.index, pt);\n\t\t\t\t\tchain.pop();\n\t\t\t\t}\n\t\t\t\tgrow = grow2; // old grow is gone... new grow is what grow2 was\n\t\t\t}\n\n\t\t\tif (eps.pointsSame(oppo, pt)){\n\t\t\t\t// we're closing the loop, so remove chain from chains\n\t\t\t\tchains.splice(index, 1);\n\n\t\t\t\tif (eps.pointsCollinear(oppo2, oppo, grow)){\n\t\t\t\t\t// oppo isn't needed because it's directly between oppo2 and grow:\n\t\t\t\t\t// oppo2 ---oppo--->grow\n\t\t\t\t\tif (addToHead){\n\t\t\t\t\t\tif (buildLog)\n\t\t\t\t\t\t\tbuildLog.chainRemoveTail(first_match.index, grow);\n\t\t\t\t\t\tchain.pop();\n\t\t\t\t\t}\n\t\t\t\t\telse{\n\t\t\t\t\t\tif (buildLog)\n\t\t\t\t\t\t\tbuildLog.chainRemoveHead(first_match.index, grow);\n\t\t\t\t\t\tchain.shift();\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tif (buildLog)\n\t\t\t\t\tbuildLog.chainClose(first_match.index);\n\n\t\t\t\t// we have a closed chain!\n\t\t\t\tregions.push(chain);\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\t// not closing a loop, so just add it to the apporpriate side\n\t\t\tif (addToHead){\n\t\t\t\tif (buildLog)\n\t\t\t\t\tbuildLog.chainAddHead(first_match.index, pt);\n\t\t\t\tchain.unshift(pt);\n\t\t\t}\n\t\t\telse{\n\t\t\t\tif (buildLog)\n\t\t\t\t\tbuildLog.chainAddTail(first_match.index, pt);\n\t\t\t\tchain.push(pt);\n\t\t\t}\n\t\t\treturn;\n\t\t}\n\n\t\t// otherwise, we matched two chains, so we need to combine those chains together\n\n\t\tfunction reverseChain(index){\n\t\t\tif (buildLog)\n\t\t\t\tbuildLog.chainReverse(index);\n\t\t\tchains[index].reverse(); // gee, that's easy\n\t\t}\n\n\t\tfunction appendChain(index1, index2){\n\t\t\t// index1 gets index2 appended to it, and index2 is removed\n\t\t\tvar chain1 = chains[index1];\n\t\t\tvar chain2 = chains[index2];\n\t\t\tvar tail  = chain1[chain1.length - 1];\n\t\t\tvar tail2 = chain1[chain1.length - 2];\n\t\t\tvar head  = chain2[0];\n\t\t\tvar head2 = chain2[1];\n\n\t\t\tif (eps.pointsCollinear(tail2, tail, head)){\n\t\t\t\t// tail isn't needed because it's directly between tail2 and head\n\t\t\t\t// tail2 ---tail---> head\n\t\t\t\tif (buildLog)\n\t\t\t\t\tbuildLog.chainRemoveTail(index1, tail);\n\t\t\t\tchain1.pop();\n\t\t\t\ttail = tail2; // old tail is gone... new tail is what tail2 was\n\t\t\t}\n\n\t\t\tif (eps.pointsCollinear(tail, head, head2)){\n\t\t\t\t// head isn't needed because it's directly between tail and head2\n\t\t\t\t// tail ---head---> head2\n\t\t\t\tif (buildLog)\n\t\t\t\t\tbuildLog.chainRemoveHead(index2, head);\n\t\t\t\tchain2.shift();\n\t\t\t}\n\n\t\t\tif (buildLog)\n\t\t\t\tbuildLog.chainJoin(index1, index2);\n\t\t\tchains[index1] = chain1.concat(chain2);\n\t\t\tchains.splice(index2, 1);\n\t\t}\n\n\t\tvar F = first_match.index;\n\t\tvar S = second_match.index;\n\n\t\tif (buildLog)\n\t\t\tbuildLog.chainConnect(F, S);\n\n\t\tvar reverseF = chains[F].length < chains[S].length; // reverse the shorter chain, if needed\n\t\tif (first_match.matches_head){\n\t\t\tif (second_match.matches_head){\n\t\t\t\tif (reverseF){\n\t\t\t\t\t// <<<< F <<<< --- >>>> S >>>>\n\t\t\t\t\treverseChain(F);\n\t\t\t\t\t// >>>> F >>>> --- >>>> S >>>>\n\t\t\t\t\tappendChain(F, S);\n\t\t\t\t}\n\t\t\t\telse{\n\t\t\t\t\t// <<<< F <<<< --- >>>> S >>>>\n\t\t\t\t\treverseChain(S);\n\t\t\t\t\t// <<<< F <<<< --- <<<< S <<<<   logically same as:\n\t\t\t\t\t// >>>> S >>>> --- >>>> F >>>>\n\t\t\t\t\tappendChain(S, F);\n\t\t\t\t}\n\t\t\t}\n\t\t\telse{\n\t\t\t\t// <<<< F <<<< --- <<<< S <<<<   logically same as:\n\t\t\t\t// >>>> S >>>> --- >>>> F >>>>\n\t\t\t\tappendChain(S, F);\n\t\t\t}\n\t\t}\n\t\telse{\n\t\t\tif (second_match.matches_head){\n\t\t\t\t// >>>> F >>>> --- >>>> S >>>>\n\t\t\t\tappendChain(F, S);\n\t\t\t}\n\t\t\telse{\n\t\t\t\tif (reverseF){\n\t\t\t\t\t// >>>> F >>>> --- <<<< S <<<<\n\t\t\t\t\treverseChain(F);\n\t\t\t\t\t// <<<< F <<<< --- <<<< S <<<<   logically same as:\n\t\t\t\t\t// >>>> S >>>> --- >>>> F >>>>\n\t\t\t\t\tappendChain(S, F);\n\t\t\t\t}\n\t\t\t\telse{\n\t\t\t\t\t// >>>> F >>>> --- <<<< S <<<<\n\t\t\t\t\treverseChain(S);\n\t\t\t\t\t// >>>> F >>>> --- >>>> S >>>>\n\t\t\t\t\tappendChain(F, S);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\n\treturn regions;\n}\n\nmodule.exports = SegmentChainer;\n\n},{}],463:[function(_dereq_,module,exports){\n// (c) Copyright 2016, Sean Connelly (@voidqk), http://syntheti.cc\n// MIT License\n// Project Home: https://github.com/voidqk/polybooljs\n\n//\n// filter a list of segments based on boolean operations\n//\n\nfunction select(segments, selection, buildLog){\n\tvar result = [];\n\tsegments.forEach(function(seg){\n\t\tvar index =\n\t\t\t(seg.myFill.above ? 8 : 0) +\n\t\t\t(seg.myFill.below ? 4 : 0) +\n\t\t\t((seg.otherFill && seg.otherFill.above) ? 2 : 0) +\n\t\t\t((seg.otherFill && seg.otherFill.below) ? 1 : 0);\n\t\tif (selection[index] !== 0){\n\t\t\t// copy the segment to the results, while also calculating the fill status\n\t\t\tresult.push({\n\t\t\t\tid: buildLog ? buildLog.segmentId() : -1,\n\t\t\t\tstart: seg.start,\n\t\t\t\tend: seg.end,\n\t\t\t\tmyFill: {\n\t\t\t\t\tabove: selection[index] === 1, // 1 if filled above\n\t\t\t\t\tbelow: selection[index] === 2  // 2 if filled below\n\t\t\t\t},\n\t\t\t\totherFill: null\n\t\t\t});\n\t\t}\n\t});\n\n\tif (buildLog)\n\t\tbuildLog.selected(result);\n\n\treturn result;\n}\n\nvar SegmentSelector = {\n\tunion: function(segments, buildLog){ // primary | secondary\n\t\t// above1 below1 above2 below2    Keep?               Value\n\t\t//    0      0      0      0   =>   no                  0\n\t\t//    0      0      0      1   =>   yes filled below    2\n\t\t//    0      0      1      0   =>   yes filled above    1\n\t\t//    0      0      1      1   =>   no                  0\n\t\t//    0      1      0      0   =>   yes filled below    2\n\t\t//    0      1      0      1   =>   yes filled below    2\n\t\t//    0      1      1      0   =>   no                  0\n\t\t//    0      1      1      1   =>   no                  0\n\t\t//    1      0      0      0   =>   yes filled above    1\n\t\t//    1      0      0      1   =>   no                  0\n\t\t//    1      0      1      0   =>   yes filled above    1\n\t\t//    1      0      1      1   =>   no                  0\n\t\t//    1      1      0      0   =>   no                  0\n\t\t//    1      1      0      1   =>   no                  0\n\t\t//    1      1      1      0   =>   no                  0\n\t\t//    1      1      1      1   =>   no                  0\n\t\treturn select(segments, [\n\t\t\t0, 2, 1, 0,\n\t\t\t2, 2, 0, 0,\n\t\t\t1, 0, 1, 0,\n\t\t\t0, 0, 0, 0\n\t\t], buildLog);\n\t},\n\tintersect: function(segments, buildLog){ // primary & secondary\n\t\t// above1 below1 above2 below2    Keep?               Value\n\t\t//    0      0      0      0   =>   no                  0\n\t\t//    0      0      0      1   =>   no                  0\n\t\t//    0      0      1      0   =>   no                  0\n\t\t//    0      0      1      1   =>   no                  0\n\t\t//    0      1      0      0   =>   no                  0\n\t\t//    0      1      0      1   =>   yes filled below    2\n\t\t//    0      1      1      0   =>   no                  0\n\t\t//    0      1      1      1   =>   yes filled below    2\n\t\t//    1      0      0      0   =>   no                  0\n\t\t//    1      0      0      1   =>   no                  0\n\t\t//    1      0      1      0   =>   yes filled above    1\n\t\t//    1      0      1      1   =>   yes filled above    1\n\t\t//    1      1      0      0   =>   no                  0\n\t\t//    1      1      0      1   =>   yes filled below    2\n\t\t//    1      1      1      0   =>   yes filled above    1\n\t\t//    1      1      1      1   =>   no                  0\n\t\treturn select(segments, [\n\t\t\t0, 0, 0, 0,\n\t\t\t0, 2, 0, 2,\n\t\t\t0, 0, 1, 1,\n\t\t\t0, 2, 1, 0\n\t\t], buildLog);\n\t},\n\tdifference: function(segments, buildLog){ // primary - secondary\n\t\t// above1 below1 above2 below2    Keep?               Value\n\t\t//    0      0      0      0   =>   no                  0\n\t\t//    0      0      0      1   =>   no                  0\n\t\t//    0      0      1      0   =>   no                  0\n\t\t//    0      0      1      1   =>   no                  0\n\t\t//    0      1      0      0   =>   yes filled below    2\n\t\t//    0      1      0      1   =>   no                  0\n\t\t//    0      1      1      0   =>   yes filled below    2\n\t\t//    0      1      1      1   =>   no                  0\n\t\t//    1      0      0      0   =>   yes filled above    1\n\t\t//    1      0      0      1   =>   yes filled above    1\n\t\t//    1      0      1      0   =>   no                  0\n\t\t//    1      0      1      1   =>   no                  0\n\t\t//    1      1      0      0   =>   no                  0\n\t\t//    1      1      0      1   =>   yes filled above    1\n\t\t//    1      1      1      0   =>   yes filled below    2\n\t\t//    1      1      1      1   =>   no                  0\n\t\treturn select(segments, [\n\t\t\t0, 0, 0, 0,\n\t\t\t2, 0, 2, 0,\n\t\t\t1, 1, 0, 0,\n\t\t\t0, 1, 2, 0\n\t\t], buildLog);\n\t},\n\tdifferenceRev: function(segments, buildLog){ // secondary - primary\n\t\t// above1 below1 above2 below2    Keep?               Value\n\t\t//    0      0      0      0   =>   no                  0\n\t\t//    0      0      0      1   =>   yes filled below    2\n\t\t//    0      0      1      0   =>   yes filled above    1\n\t\t//    0      0      1      1   =>   no                  0\n\t\t//    0      1      0      0   =>   no                  0\n\t\t//    0      1      0      1   =>   no                  0\n\t\t//    0      1      1      0   =>   yes filled above    1\n\t\t//    0      1      1      1   =>   yes filled above    1\n\t\t//    1      0      0      0   =>   no                  0\n\t\t//    1      0      0      1   =>   yes filled below    2\n\t\t//    1      0      1      0   =>   no                  0\n\t\t//    1      0      1      1   =>   yes filled below    2\n\t\t//    1      1      0      0   =>   no                  0\n\t\t//    1      1      0      1   =>   no                  0\n\t\t//    1      1      1      0   =>   no                  0\n\t\t//    1      1      1      1   =>   no                  0\n\t\treturn select(segments, [\n\t\t\t0, 2, 1, 0,\n\t\t\t0, 0, 1, 1,\n\t\t\t0, 2, 0, 2,\n\t\t\t0, 0, 0, 0\n\t\t], buildLog);\n\t},\n\txor: function(segments, buildLog){ // primary ^ secondary\n\t\t// above1 below1 above2 below2    Keep?               Value\n\t\t//    0      0      0      0   =>   no                  0\n\t\t//    0      0      0      1   =>   yes filled below    2\n\t\t//    0      0      1      0   =>   yes filled above    1\n\t\t//    0      0      1      1   =>   no                  0\n\t\t//    0      1      0      0   =>   yes filled below    2\n\t\t//    0      1      0      1   =>   no                  0\n\t\t//    0      1      1      0   =>   no                  0\n\t\t//    0      1      1      1   =>   yes filled above    1\n\t\t//    1      0      0      0   =>   yes filled above    1\n\t\t//    1      0      0      1   =>   no                  0\n\t\t//    1      0      1      0   =>   no                  0\n\t\t//    1      0      1      1   =>   yes filled below    2\n\t\t//    1      1      0      0   =>   no                  0\n\t\t//    1      1      0      1   =>   yes filled above    1\n\t\t//    1      1      1      0   =>   yes filled below    2\n\t\t//    1      1      1      1   =>   no                  0\n\t\treturn select(segments, [\n\t\t\t0, 2, 1, 0,\n\t\t\t2, 0, 0, 1,\n\t\t\t1, 0, 0, 2,\n\t\t\t0, 1, 2, 0\n\t\t], buildLog);\n\t}\n};\n\nmodule.exports = SegmentSelector;\n\n},{}],464:[function(_dereq_,module,exports){\n//Optimized version for triangle closest point\n// Based on Eberly's WildMagick codes\n// http://www.geometrictools.com/LibMathematics/Distance/Distance.html\n\"use strict\";\n\nvar diff = new Float64Array(4);\nvar edge0 = new Float64Array(4);\nvar edge1 = new Float64Array(4);\n\nfunction closestPoint2d(V0, V1, V2, point, result) {\n  //Reallocate buffers if necessary\n  if(diff.length < point.length) {\n    diff = new Float64Array(point.length);\n    edge0 = new Float64Array(point.length);\n    edge1 = new Float64Array(point.length);\n  }\n  //Compute edges\n  for(var i=0; i<point.length; ++i) {\n    diff[i]  = V0[i] - point[i];\n    edge0[i] = V1[i] - V0[i];\n    edge1[i] = V2[i] - V0[i];\n  }\n  //Compute coefficients for quadratic func\n  var a00 = 0.0\n    , a01 = 0.0\n    , a11 = 0.0\n    , b0  = 0.0\n    , b1  = 0.0\n    , c   = 0.0;\n  for(var i=0; i<point.length; ++i) {\n    var e0 = edge0[i]\n      , e1 = edge1[i]\n      , d  = diff[i];\n    a00 += e0 * e0;\n    a01 += e0 * e1;\n    a11 += e1 * e1;\n    b0  += d * e0;\n    b1  += d * e1;\n    c   += d * d;\n  }\n  //Compute determinant/coeffs\n  var det = Math.abs(a00*a11 - a01*a01);\n  var s   = a01*b1 - a11*b0;\n  var t   = a01*b0 - a00*b1;\n  var sqrDistance;\n  //Hardcoded Voronoi diagram classification\n  if (s + t <= det) {\n    if (s < 0) {\n      if (t < 0) { // region 4\n        if (b0 < 0) {\n          t = 0;\n          if (-b0 >= a00) {\n            s = 1.0;\n            sqrDistance = a00 + 2.0*b0 + c;\n          } else {\n            s = -b0/a00;\n            sqrDistance = b0*s + c;\n          }\n        } else {\n          s = 0;\n          if (b1 >= 0) {\n            t = 0;\n            sqrDistance = c;\n          } else if (-b1 >= a11) {\n            t = 1;\n            sqrDistance = a11 + 2.0*b1 + c;\n          } else {\n            t = -b1/a11;\n            sqrDistance = b1*t + c;\n          }\n        }\n      } else {  // region 3\n        s = 0;\n        if (b1 >= 0) {\n          t = 0;\n          sqrDistance = c;\n        } else if (-b1 >= a11) {\n          t = 1;\n          sqrDistance = a11 + 2.0*b1 + c;\n        } else {\n          t = -b1/a11;\n          sqrDistance = b1*t + c;\n        }\n      }\n    } else if (t < 0) { // region 5\n      t = 0;\n      if (b0 >= 0) {\n        s = 0;\n        sqrDistance = c;\n      } else if (-b0 >= a00) {\n        s = 1;\n        sqrDistance = a00 + 2.0*b0 + c;\n      } else {\n        s = -b0/a00;\n        sqrDistance = b0*s + c;\n      }\n    } else {  // region 0\n      // minimum at interior point\n      var invDet = 1.0 / det;\n      s *= invDet;\n      t *= invDet;\n      sqrDistance = s*(a00*s + a01*t + 2.0*b0) + t*(a01*s + a11*t + 2.0*b1) + c;\n    }\n  } else {\n    var tmp0, tmp1, numer, denom;\n    \n    if (s < 0) {  // region 2\n      tmp0 = a01 + b0;\n      tmp1 = a11 + b1;\n      if (tmp1 > tmp0) {\n        numer = tmp1 - tmp0;\n        denom = a00 - 2.0*a01 + a11;\n        if (numer >= denom) {\n          s = 1;\n          t = 0;\n          sqrDistance = a00 + 2.0*b0 + c;\n        } else {\n          s = numer/denom;\n          t = 1 - s;\n          sqrDistance = s*(a00*s + a01*t + 2.0*b0) +\n          t*(a01*s + a11*t + 2.0*b1) + c;\n        }\n      } else {\n        s = 0;\n        if (tmp1 <= 0) {\n          t = 1;\n          sqrDistance = a11 + 2.0*b1 + c;\n        } else if (b1 >= 0) {\n          t = 0;\n          sqrDistance = c;\n        } else {\n          t = -b1/a11;\n          sqrDistance = b1*t + c;\n        }\n      }\n    } else if (t < 0) {  // region 6\n      tmp0 = a01 + b1;\n      tmp1 = a00 + b0;\n      if (tmp1 > tmp0) {\n        numer = tmp1 - tmp0;\n        denom = a00 - 2.0*a01 + a11;\n        if (numer >= denom) {\n          t = 1;\n          s = 0;\n          sqrDistance = a11 + 2.0*b1 + c;\n        } else {\n          t = numer/denom;\n          s = 1 - t;\n          sqrDistance = s*(a00*s + a01*t + 2.0*b0) +\n          t*(a01*s + a11*t + 2.0*b1) + c;\n        }\n      } else {\n        t = 0;\n        if (tmp1 <= 0) {\n          s = 1;\n          sqrDistance = a00 + 2.0*b0 + c;\n        } else if (b0 >= 0) {\n          s = 0;\n          sqrDistance = c;\n        } else {\n          s = -b0/a00;\n          sqrDistance = b0*s + c;\n        }\n      }\n    } else {  // region 1\n      numer = a11 + b1 - a01 - b0;\n      if (numer <= 0) {\n        s = 0;\n        t = 1;\n        sqrDistance = a11 + 2.0*b1 + c;\n      } else {\n        denom = a00 - 2.0*a01 + a11;\n        if (numer >= denom) {\n          s = 1;\n          t = 0;\n          sqrDistance = a00 + 2.0*b0 + c;\n        } else {\n          s = numer/denom;\n          t = 1 - s;\n          sqrDistance = s*(a00*s + a01*t + 2.0*b0) +\n          t*(a01*s + a11*t + 2.0*b1) + c;\n        }\n      }\n    }\n  }\n  var u = 1.0 - s - t;\n  for(var i=0; i<point.length; ++i) {\n    result[i] = u * V0[i] + s * V1[i] + t * V2[i];\n  }\n  if(sqrDistance < 0) {\n    return 0;\n  }\n  return sqrDistance;\n}\n\nmodule.exports = closestPoint2d;\n\n},{}],465:[function(_dereq_,module,exports){\n// shim for using process in browser\nvar process = module.exports = {};\n\n// cached from whatever global is present so that test runners that stub it\n// don't break things.  But we need to wrap it in a try catch in case it is\n// wrapped in strict mode code which doesn't define any globals.  It's inside a\n// function because try/catches deoptimize in certain engines.\n\nvar cachedSetTimeout;\nvar cachedClearTimeout;\n\nfunction defaultSetTimout() {\n    throw new Error('setTimeout has not been defined');\n}\nfunction defaultClearTimeout () {\n    throw new Error('clearTimeout has not been defined');\n}\n(function () {\n    try {\n        if (typeof setTimeout === 'function') {\n            cachedSetTimeout = setTimeout;\n        } else {\n            cachedSetTimeout = defaultSetTimout;\n        }\n    } catch (e) {\n        cachedSetTimeout = defaultSetTimout;\n    }\n    try {\n        if (typeof clearTimeout === 'function') {\n            cachedClearTimeout = clearTimeout;\n        } else {\n            cachedClearTimeout = defaultClearTimeout;\n        }\n    } catch (e) {\n        cachedClearTimeout = defaultClearTimeout;\n    }\n} ())\nfunction runTimeout(fun) {\n    if (cachedSetTimeout === setTimeout) {\n        //normal enviroments in sane situations\n        return setTimeout(fun, 0);\n    }\n    // if setTimeout wasn't available but was latter defined\n    if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) {\n        cachedSetTimeout = setTimeout;\n        return setTimeout(fun, 0);\n    }\n    try {\n        // when when somebody has screwed with setTimeout but no I.E. maddness\n        return cachedSetTimeout(fun, 0);\n    } catch(e){\n        try {\n            // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally\n            return cachedSetTimeout.call(null, fun, 0);\n        } catch(e){\n            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error\n            return cachedSetTimeout.call(this, fun, 0);\n        }\n    }\n\n\n}\nfunction runClearTimeout(marker) {\n    if (cachedClearTimeout === clearTimeout) {\n        //normal enviroments in sane situations\n        return clearTimeout(marker);\n    }\n    // if clearTimeout wasn't available but was latter defined\n    if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) {\n        cachedClearTimeout = clearTimeout;\n        return clearTimeout(marker);\n    }\n    try {\n        // when when somebody has screwed with setTimeout but no I.E. maddness\n        return cachedClearTimeout(marker);\n    } catch (e){\n        try {\n            // When we are in I.E. but the script has been evaled so I.E. doesn't  trust the global object when called normally\n            return cachedClearTimeout.call(null, marker);\n        } catch (e){\n            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error.\n            // Some versions of I.E. have different rules for clearTimeout vs setTimeout\n            return cachedClearTimeout.call(this, marker);\n        }\n    }\n\n\n\n}\nvar queue = [];\nvar draining = false;\nvar currentQueue;\nvar queueIndex = -1;\n\nfunction cleanUpNextTick() {\n    if (!draining || !currentQueue) {\n        return;\n    }\n    draining = false;\n    if (currentQueue.length) {\n        queue = currentQueue.concat(queue);\n    } else {\n        queueIndex = -1;\n    }\n    if (queue.length) {\n        drainQueue();\n    }\n}\n\nfunction drainQueue() {\n    if (draining) {\n        return;\n    }\n    var timeout = runTimeout(cleanUpNextTick);\n    draining = true;\n\n    var len = queue.length;\n    while(len) {\n        currentQueue = queue;\n        queue = [];\n        while (++queueIndex < len) {\n            if (currentQueue) {\n                currentQueue[queueIndex].run();\n            }\n        }\n        queueIndex = -1;\n        len = queue.length;\n    }\n    currentQueue = null;\n    draining = false;\n    runClearTimeout(timeout);\n}\n\nprocess.nextTick = function (fun) {\n    var args = new Array(arguments.length - 1);\n    if (arguments.length > 1) {\n        for (var i = 1; i < arguments.length; i++) {\n            args[i - 1] = arguments[i];\n        }\n    }\n    queue.push(new Item(fun, args));\n    if (queue.length === 1 && !draining) {\n        runTimeout(drainQueue);\n    }\n};\n\n// v8 likes predictible objects\nfunction Item(fun, array) {\n    this.fun = fun;\n    this.array = array;\n}\nItem.prototype.run = function () {\n    this.fun.apply(null, this.array);\n};\nprocess.title = 'browser';\nprocess.browser = true;\nprocess.env = {};\nprocess.argv = [];\nprocess.version = ''; // empty string to avoid regexp issues\nprocess.versions = {};\n\nfunction noop() {}\n\nprocess.on = noop;\nprocess.addListener = noop;\nprocess.once = noop;\nprocess.off = noop;\nprocess.removeListener = noop;\nprocess.removeAllListeners = noop;\nprocess.emit = noop;\nprocess.prependListener = noop;\nprocess.prependOnceListener = noop;\n\nprocess.listeners = function (name) { return [] }\n\nprocess.binding = function (name) {\n    throw new Error('process.binding is not supported');\n};\n\nprocess.cwd = function () { return '/' };\nprocess.chdir = function (dir) {\n    throw new Error('process.chdir is not supported');\n};\nprocess.umask = function() { return 0; };\n\n},{}],466:[function(_dereq_,module,exports){\nmodule.exports = _dereq_('gl-quat/slerp')\n},{\"gl-quat/slerp\":280}],467:[function(_dereq_,module,exports){\n(function (global){\nvar now = _dereq_('performance-now')\n  , root = typeof window === 'undefined' ? global : window\n  , vendors = ['moz', 'webkit']\n  , suffix = 'AnimationFrame'\n  , raf = root['request' + suffix]\n  , caf = root['cancel' + suffix] || root['cancelRequest' + suffix]\n\nfor(var i = 0; !raf && i < vendors.length; i++) {\n  raf = root[vendors[i] + 'Request' + suffix]\n  caf = root[vendors[i] + 'Cancel' + suffix]\n      || root[vendors[i] + 'CancelRequest' + suffix]\n}\n\n// Some versions of FF have rAF but not cAF\nif(!raf || !caf) {\n  var last = 0\n    , id = 0\n    , queue = []\n    , frameDuration = 1000 / 60\n\n  raf = function(callback) {\n    if(queue.length === 0) {\n      var _now = now()\n        , next = Math.max(0, frameDuration - (_now - last))\n      last = next + _now\n      setTimeout(function() {\n        var cp = queue.slice(0)\n        // Clear queue here to prevent\n        // callbacks from appending listeners\n        // to the current frame's queue\n        queue.length = 0\n        for(var i = 0; i < cp.length; i++) {\n          if(!cp[i].cancelled) {\n            try{\n              cp[i].callback(last)\n            } catch(e) {\n              setTimeout(function() { throw e }, 0)\n            }\n          }\n        }\n      }, Math.round(next))\n    }\n    queue.push({\n      handle: ++id,\n      callback: callback,\n      cancelled: false\n    })\n    return id\n  }\n\n  caf = function(handle) {\n    for(var i = 0; i < queue.length; i++) {\n      if(queue[i].handle === handle) {\n        queue[i].cancelled = true\n      }\n    }\n  }\n}\n\nmodule.exports = function(fn) {\n  // Wrap in a new function to prevent\n  // `cancel` potentially being assigned\n  // to the native rAF function\n  return raf.call(root, fn)\n}\nmodule.exports.cancel = function() {\n  caf.apply(root, arguments)\n}\nmodule.exports.polyfill = function(object) {\n  if (!object) {\n    object = root;\n  }\n  object.requestAnimationFrame = raf\n  object.cancelAnimationFrame = caf\n}\n\n}).call(this,typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {})\n},{\"performance-now\":445}],468:[function(_dereq_,module,exports){\n'use strict'\n\nvar bnadd = _dereq_('big-rat/add')\n\nmodule.exports = add\n\nfunction add (a, b) {\n  var n = a.length\n  var r = new Array(n)\n  for (var i=0; i<n; ++i) {\n    r[i] = bnadd(a[i], b[i])\n  }\n  return r\n}\n\n},{\"big-rat/add\":63}],469:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = float2rat\n\nvar rat = _dereq_('big-rat')\n\nfunction float2rat(v) {\n  var result = new Array(v.length)\n  for(var i=0; i<v.length; ++i) {\n    result[i] = rat(v[i])\n  }\n  return result\n}\n\n},{\"big-rat\":66}],470:[function(_dereq_,module,exports){\n'use strict'\n\nvar rat = _dereq_('big-rat')\nvar mul = _dereq_('big-rat/mul')\n\nmodule.exports = muls\n\nfunction muls(a, x) {\n  var s = rat(x)\n  var n = a.length\n  var r = new Array(n)\n  for(var i=0; i<n; ++i) {\n    r[i] = mul(a[i], s)\n  }\n  return r\n}\n\n},{\"big-rat\":66,\"big-rat/mul\":75}],471:[function(_dereq_,module,exports){\n'use strict'\n\nvar bnsub = _dereq_('big-rat/sub')\n\nmodule.exports = sub\n\nfunction sub(a, b) {\n  var n = a.length\n  var r = new Array(n)\n    for(var i=0; i<n; ++i) {\n    r[i] = bnsub(a[i], b[i])\n  }\n  return r\n}\n\n},{\"big-rat/sub\":77}],472:[function(_dereq_,module,exports){\n'use strict'\n\nvar compareCell = _dereq_('compare-cell')\nvar compareOrientedCell = _dereq_('compare-oriented-cell')\nvar orientation = _dereq_('cell-orientation')\n\nmodule.exports = reduceCellComplex\n\nfunction reduceCellComplex(cells) {\n  cells.sort(compareOrientedCell)\n  var n = cells.length\n  var ptr = 0\n  for(var i=0; i<n; ++i) {\n    var c = cells[i]\n    var o = orientation(c)\n    if(o === 0) {\n      continue\n    }\n    if(ptr > 0) {\n      var f = cells[ptr-1]\n      if(compareCell(c, f) === 0 &&\n         orientation(f)    !== o) {\n        ptr -= 1\n        continue\n      }\n    }\n    cells[ptr++] = c\n  }\n  cells.length = ptr\n  return cells\n}\n\n},{\"cell-orientation\":100,\"compare-cell\":116,\"compare-oriented-cell\":117}],473:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar getBounds = _dereq_('array-bounds')\r\nvar rgba = _dereq_('color-normalize')\r\nvar updateDiff = _dereq_('update-diff')\r\nvar pick = _dereq_('pick-by-alias')\r\nvar extend = _dereq_('object-assign')\r\nvar flatten = _dereq_('flatten-vertex-data')\r\nvar ref = _dereq_('to-float32');\nvar float32 = ref.float32;\nvar fract32 = ref.fract32;\r\n\r\nmodule.exports = Error2D\r\n\r\nvar WEIGHTS = [\r\n\t//direction, lineWidth shift, capSize shift\r\n\r\n\t// x-error bar\r\n\t[1, 0, 0, 1, 0, 0],\r\n\t[1, 0, 0, -1, 0, 0],\r\n\t[-1, 0, 0, -1, 0, 0],\r\n\r\n\t[-1, 0, 0, -1, 0, 0],\r\n\t[-1, 0, 0, 1, 0, 0],\r\n\t[1, 0, 0, 1, 0, 0],\r\n\r\n\t// x-error right cap\r\n\t[1, 0, -1, 0, 0, 1],\r\n\t[1, 0, -1, 0, 0, -1],\r\n\t[1, 0, 1, 0, 0, -1],\r\n\r\n\t[1, 0, 1, 0, 0, -1],\r\n\t[1, 0, 1, 0, 0, 1],\r\n\t[1, 0, -1, 0, 0, 1],\r\n\r\n\t// x-error left cap\r\n\t[-1, 0, -1, 0, 0, 1],\r\n\t[-1, 0, -1, 0, 0, -1],\r\n\t[-1, 0, 1, 0, 0, -1],\r\n\r\n\t[-1, 0, 1, 0, 0, -1],\r\n\t[-1, 0, 1, 0, 0, 1],\r\n\t[-1, 0, -1, 0, 0, 1],\r\n\r\n\t// y-error bar\r\n\t[0, 1, 1, 0, 0, 0],\r\n\t[0, 1, -1, 0, 0, 0],\r\n\t[0, -1, -1, 0, 0, 0],\r\n\r\n\t[0, -1, -1, 0, 0, 0],\r\n\t[0, 1, 1, 0, 0, 0],\r\n\t[0, -1, 1, 0, 0, 0],\r\n\r\n\t// y-error top cap\r\n\t[0, 1, 0, -1, 1, 0],\r\n\t[0, 1, 0, -1, -1, 0],\r\n\t[0, 1, 0, 1, -1, 0],\r\n\r\n\t[0, 1, 0, 1, 1, 0],\r\n\t[0, 1, 0, -1, 1, 0],\r\n\t[0, 1, 0, 1, -1, 0],\r\n\r\n\t// y-error bottom cap\r\n\t[0, -1, 0, -1, 1, 0],\r\n\t[0, -1, 0, -1, -1, 0],\r\n\t[0, -1, 0, 1, -1, 0],\r\n\r\n\t[0, -1, 0, 1, 1, 0],\r\n\t[0, -1, 0, -1, 1, 0],\r\n\t[0, -1, 0, 1, -1, 0]\r\n]\r\n\r\n\r\nfunction Error2D (regl, options) {\r\n\tif (typeof regl === 'function') {\r\n\t\tif (!options) { options = {} }\r\n\t\toptions.regl = regl\r\n\t}\r\n\telse {\r\n\t\toptions = regl\r\n\t}\r\n\tif (options.length) { options.positions = options }\r\n\tregl = options.regl\r\n\r\n\tif (!regl.hasExtension('ANGLE_instanced_arrays')) {\r\n\t\tthrow Error('regl-error2d: `ANGLE_instanced_arrays` extension should be enabled');\r\n\t}\r\n\r\n\t// persistent variables\r\n\tvar gl = regl._gl, drawErrors, positionBuffer, positionFractBuffer, colorBuffer, errorBuffer, meshBuffer,\r\n\t\t\tdefaults = {\r\n\t\t\t\tcolor: 'black',\r\n\t\t\t\tcapSize: 5,\r\n\t\t\t\tlineWidth: 1,\r\n\t\t\t\topacity: 1,\r\n\t\t\t\tviewport: null,\r\n\t\t\t\trange: null,\r\n\t\t\t\toffset: 0,\r\n\t\t\t\tcount: 0,\r\n\t\t\t\tbounds: null,\r\n\t\t\t\tpositions: [],\r\n\t\t\t\terrors: []\r\n\t\t\t}, groups = []\r\n\r\n\t//color per-point\r\n\tcolorBuffer = regl.buffer({\r\n\t\tusage: 'dynamic',\r\n\t\ttype: 'uint8',\r\n\t\tdata: new Uint8Array(0)\r\n\t})\r\n\t//xy-position per-point\r\n\tpositionBuffer = regl.buffer({\r\n\t\tusage: 'dynamic',\r\n\t\ttype: 'float',\r\n\t\tdata: new Uint8Array(0)\r\n\t})\r\n\t//xy-position float32-fraction\r\n\tpositionFractBuffer = regl.buffer({\r\n\t\tusage: 'dynamic',\r\n\t\ttype: 'float',\r\n\t\tdata: new Uint8Array(0)\r\n\t})\r\n\t//4 errors per-point\r\n\terrorBuffer = regl.buffer({\r\n\t\tusage: 'dynamic',\r\n\t\ttype: 'float',\r\n\t\tdata: new Uint8Array(0)\r\n\t})\r\n\t//error bar mesh\r\n\tmeshBuffer = regl.buffer({\r\n\t\tusage: 'static',\r\n\t\ttype: 'float',\r\n\t\tdata: WEIGHTS\r\n\t})\r\n\r\n\tupdate(options)\r\n\r\n\t//drawing method\r\n\tdrawErrors = regl({\r\n\t\tvert: \"\\n\\t\\tprecision highp float;\\n\\n\\t\\tattribute vec2 position, positionFract;\\n\\t\\tattribute vec4 error;\\n\\t\\tattribute vec4 color;\\n\\n\\t\\tattribute vec2 direction, lineOffset, capOffset;\\n\\n\\t\\tuniform vec4 viewport;\\n\\t\\tuniform float lineWidth, capSize;\\n\\t\\tuniform vec2 scale, scaleFract, translate, translateFract;\\n\\n\\t\\tvarying vec4 fragColor;\\n\\n\\t\\tvoid main() {\\n\\t\\t\\tfragColor = color / 255.;\\n\\n\\t\\t\\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\\n\\n\\t\\t\\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\\n\\n\\t\\t\\tvec2 position = position + dxy;\\n\\n\\t\\t\\tvec2 pos = (position + translate) * scale\\n\\t\\t\\t\\t+ (positionFract + translateFract) * scale\\n\\t\\t\\t\\t+ (position + translate) * scaleFract\\n\\t\\t\\t\\t+ (positionFract + translateFract) * scaleFract;\\n\\n\\t\\t\\tpos += pixelOffset / viewport.zw;\\n\\n\\t\\t\\tgl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\t\\t}\\n\\t\\t\",\r\n\r\n\t\tfrag: \"\\n\\t\\tprecision mediump float;\\n\\n\\t\\tvarying vec4 fragColor;\\n\\n\\t\\tuniform float opacity;\\n\\n\\t\\tvoid main() {\\n\\t\\t\\tgl_FragColor = fragColor;\\n\\t\\t\\tgl_FragColor.a *= opacity;\\n\\t\\t}\\n\\t\\t\",\r\n\r\n\t\tuniforms: {\r\n\t\t\trange: regl.prop('range'),\r\n\t\t\tlineWidth: regl.prop('lineWidth'),\r\n\t\t\tcapSize: regl.prop('capSize'),\r\n\t\t\topacity: regl.prop('opacity'),\r\n\t\t\tscale: regl.prop('scale'),\r\n\t\t\ttranslate: regl.prop('translate'),\r\n\t\t\tscaleFract: regl.prop('scaleFract'),\r\n\t\t\ttranslateFract: regl.prop('translateFract'),\r\n\t\t\tviewport: function (ctx, prop) { return [prop.viewport.x, prop.viewport.y, ctx.viewportWidth, ctx.viewportHeight]; }\r\n\t\t},\r\n\r\n\t\tattributes: {\r\n\t\t\t//dynamic attributes\r\n\t\t\tcolor: {\r\n\t\t\t\tbuffer: colorBuffer,\r\n\t\t\t\toffset: function (ctx, prop) { return prop.offset * 4; },\r\n\t\t\t\tdivisor: 1,\r\n\t\t\t},\r\n\t\t\tposition: {\r\n\t\t\t\tbuffer: positionBuffer,\r\n\t\t\t\toffset: function (ctx, prop) { return prop.offset * 8; },\r\n\t\t\t\tdivisor: 1\r\n\t\t\t},\r\n\t\t\tpositionFract: {\r\n\t\t\t\tbuffer: positionFractBuffer,\r\n\t\t\t\toffset: function (ctx, prop) { return prop.offset * 8; },\r\n\t\t\t\tdivisor: 1\r\n\t\t\t},\r\n\t\t\terror: {\r\n\t\t\t\tbuffer: errorBuffer,\r\n\t\t\t\toffset: function (ctx, prop) { return prop.offset * 16; },\r\n\t\t\t\tdivisor: 1\r\n\t\t\t},\r\n\r\n\t\t\t//static attributes\r\n\t\t\tdirection: {\r\n\t\t\t\tbuffer: meshBuffer,\r\n\t\t\t\tstride: 24,\r\n\t\t\t\toffset: 0\r\n\t\t\t},\r\n\t\t\tlineOffset: {\r\n\t\t\t\tbuffer: meshBuffer,\r\n\t\t\t\tstride: 24,\r\n\t\t\t\toffset: 8\r\n\t\t\t},\r\n\t\t\tcapOffset: {\r\n\t\t\t\tbuffer: meshBuffer,\r\n\t\t\t\tstride: 24,\r\n\t\t\t\toffset: 16\r\n\t\t\t}\r\n\t\t},\r\n\r\n\t\tprimitive: 'triangles',\r\n\r\n\t\tblend: {\r\n\t\t\tenable: true,\r\n\t\t\tcolor: [0,0,0,0],\r\n\t\t\tequation: {\r\n\t\t\t\trgb: 'add',\r\n\t\t\t\talpha: 'add'\r\n\t\t\t},\r\n\t\t\tfunc: {\r\n\t\t\t\tsrcRGB: 'src alpha',\r\n\t\t\t\tdstRGB: 'one minus src alpha',\r\n\t\t\t\tsrcAlpha: 'one minus dst alpha',\r\n\t\t\t\tdstAlpha: 'one'\r\n\t\t\t}\r\n\t\t},\r\n\r\n\t\tdepth: {\r\n\t\t\tenable: false\r\n\t\t},\r\n\r\n\t\tscissor: {\r\n\t\t\tenable: true,\r\n\t\t\tbox: regl.prop('viewport')\r\n\t\t},\r\n\t\tviewport: regl.prop('viewport'),\r\n\t\tstencil: false,\r\n\r\n\t\tinstances: regl.prop('count'),\r\n\t\tcount: WEIGHTS.length\r\n\t})\r\n\r\n\t//expose API\r\n\textend(error2d, {\r\n\t\tupdate: update,\r\n\t\tdraw: draw,\r\n\t\tdestroy: destroy,\r\n\t\tregl: regl,\r\n\t\tgl: gl,\r\n\t\tcanvas: gl.canvas,\r\n\t\tgroups: groups\r\n\t})\r\n\r\n\treturn error2d\r\n\r\n\tfunction error2d (opts) {\r\n\t\t//update\r\n\t\tif (opts) {\r\n\t\t\tupdate(opts)\r\n\t\t}\r\n\r\n\t\t//destroy\r\n\t\telse if (opts === null) {\r\n\t\t\tdestroy()\r\n\t\t}\r\n\r\n\t\tdraw()\r\n\t}\r\n\r\n\r\n\t//main draw method\r\n\tfunction draw (options) {\r\n\t\tif (typeof options === 'number') { return drawGroup(options) }\r\n\r\n\t\t//make options a batch\r\n\t\tif (options && !Array.isArray(options)) { options = [options] }\r\n\r\n\r\n\t\tregl._refresh()\r\n\r\n\t\t//render multiple polylines via regl batch\r\n\t\tgroups.forEach(function (s, i) {\r\n\t\t\tif (!s) { return }\r\n\r\n\t\t\tif (options) {\r\n\t\t\t\tif (!options[i]) { s.draw = false }\r\n\t\t\t\telse { s.draw = true }\r\n\t\t\t}\r\n\r\n\t\t\t//ignore draw flag for one pass\r\n\t\t\tif (!s.draw) {\r\n\t\t\t\ts.draw = true;\r\n\t\t\t\treturn\r\n\t\t\t}\r\n\r\n\t\t\tdrawGroup(i)\r\n\t\t})\r\n\t}\r\n\r\n\t//draw single error group by id\r\n\tfunction drawGroup (s) {\r\n\t\tif (typeof s === 'number') { s = groups[s] }\r\n\t\tif (s == null) { return }\r\n\r\n\t\tif (!(s && s.count && s.color && s.opacity && s.positions && s.positions.length > 1)) { return }\r\n\r\n\t\ts.scaleRatio = [\r\n\t\t\ts.scale[0] * s.viewport.width,\r\n\t\t\ts.scale[1] * s.viewport.height\r\n\t\t]\r\n\r\n\t\tdrawErrors(s)\r\n\r\n\t\tif (s.after) { s.after(s) }\r\n\t}\r\n\r\n\tfunction update (options) {\r\n\t\tif (!options) { return }\r\n\r\n\t\t//direct points argument\r\n\t\tif (options.length != null) {\r\n\t\t\tif (typeof options[0] === 'number') { options = [{positions: options}] }\r\n\t\t}\r\n\r\n\t\t//make options a batch\r\n\t\telse if (!Array.isArray(options)) { options = [options] }\r\n\r\n\t\t//global count of points\r\n\t\tvar pointCount = 0, errorCount = 0\r\n\r\n\t\terror2d.groups = groups = options.map(function (options, i) {\r\n\t\t\tvar group = groups[i]\r\n\r\n\t\t\tif (!options) { return group }\r\n\t\t\telse if (typeof options === 'function') { options = {after: options} }\r\n\t\t\telse if (typeof options[0] === 'number') { options = {positions: options} }\r\n\r\n\t\t\t//copy options to avoid mutation & handle aliases\r\n\t\t\toptions = pick(options, {\r\n\t\t\t\tcolor: 'color colors fill',\r\n\t\t\t\tcapSize: 'capSize cap capsize cap-size',\r\n\t\t\t\tlineWidth: 'lineWidth line-width width line thickness',\r\n\t\t\t\topacity: 'opacity alpha',\r\n\t\t\t\trange: 'range dataBox',\r\n\t\t\t\tviewport: 'viewport viewBox',\r\n\t\t\t\terrors: 'errors error',\r\n\t\t\t\tpositions: 'positions position data points'\r\n\t\t\t})\r\n\r\n\t\t\tif (!group) {\r\n\t\t\t\tgroups[i] = group = {\r\n\t\t\t\t\tid: i,\r\n\t\t\t\t\tscale: null,\r\n\t\t\t\t\ttranslate: null,\r\n\t\t\t\t\tscaleFract: null,\r\n\t\t\t\t\ttranslateFract: null,\r\n\t\t\t\t\tdraw: true\r\n\t\t\t\t}\r\n\t\t\t\toptions = extend({}, defaults, options)\r\n\t\t\t}\r\n\r\n\t\t\tupdateDiff(group, options, [{\r\n\t\t\t\tlineWidth: function (v) { return +v * .5; },\r\n\t\t\t\tcapSize: function (v) { return +v * .5; },\r\n\t\t\t\topacity: parseFloat,\r\n\t\t\t\terrors: function (errors) {\r\n\t\t\t\t\terrors = flatten(errors)\r\n\r\n\t\t\t\t\terrorCount += errors.length\r\n\t\t\t\t\treturn errors\r\n\t\t\t\t},\r\n\t\t\t\tpositions: function (positions, state) {\r\n\t\t\t\t\tpositions = flatten(positions, 'float64')\r\n\t\t\t\t\tstate.count = Math.floor(positions.length / 2)\r\n\t\t\t\t\tstate.bounds = getBounds(positions, 2)\r\n\t\t\t\t\tstate.offset = pointCount\r\n\r\n\t\t\t\t\tpointCount += state.count\r\n\r\n\t\t\t\t\treturn positions\r\n\t\t\t\t}\r\n\t\t\t}, {\r\n\t\t\t\tcolor: function (colors, state) {\r\n\t\t\t\t\tvar count = state.count\r\n\r\n\t\t\t\t\tif (!colors) { colors = 'transparent' }\r\n\r\n\t\t\t\t\t// 'black' or [0,0,0,0] case\r\n\t\t\t\t\tif (!Array.isArray(colors) || typeof colors[0] === 'number') {\r\n\t\t\t\t\t\tvar color = colors\r\n\t\t\t\t\t\tcolors = Array(count)\r\n\t\t\t\t\t\tfor (var i = 0; i < count; i++) {\r\n\t\t\t\t\t\t\tcolors[i] = color\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\r\n\t\t\t\t\tif (colors.length < count) { throw Error('Not enough colors') }\r\n\r\n\t\t\t\t\tvar colorData = new Uint8Array(count * 4)\r\n\r\n\t\t\t\t\t//convert colors to float arrays\r\n\t\t\t\t\tfor (var i$1 = 0; i$1 < count; i$1++) {\r\n\t\t\t\t\t\tvar c = rgba(colors[i$1], 'uint8')\r\n\t\t\t\t\t\tcolorData.set(c, i$1 * 4)\r\n\t\t\t\t\t}\r\n\r\n\t\t\t\t\treturn colorData\r\n\t\t\t\t},\r\n\r\n\t\t\t\trange: function (range, state, options) {\r\n\t\t\t\t\tvar bounds = state.bounds\r\n\t\t\t\t\tif (!range) { range = bounds }\r\n\r\n\t\t\t\t\tstate.scale = [1 / (range[2] - range[0]), 1 / (range[3] - range[1])]\r\n\t\t\t\t\tstate.translate = [-range[0], -range[1]]\r\n\r\n\t\t\t\t\tstate.scaleFract = fract32(state.scale)\r\n\t\t\t\t\tstate.translateFract = fract32(state.translate)\r\n\r\n\t\t\t\t\treturn range\r\n\t\t\t\t},\r\n\r\n\t\t\t\tviewport: function (vp) {\r\n\t\t\t\t\tvar viewport\r\n\r\n\t\t\t\t\tif (Array.isArray(vp)) {\r\n\t\t\t\t\t\tviewport = {\r\n\t\t\t\t\t\t\tx: vp[0],\r\n\t\t\t\t\t\t\ty: vp[1],\r\n\t\t\t\t\t\t\twidth: vp[2] - vp[0],\r\n\t\t\t\t\t\t\theight: vp[3] - vp[1]\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\telse if (vp) {\r\n\t\t\t\t\t\tviewport = {\r\n\t\t\t\t\t\t\tx: vp.x || vp.left || 0,\r\n\t\t\t\t\t\t\ty: vp.y || vp.top || 0\r\n\t\t\t\t\t\t}\r\n\r\n\t\t\t\t\t\tif (vp.right) { viewport.width = vp.right - viewport.x }\r\n\t\t\t\t\t\telse { viewport.width = vp.w || vp.width || 0 }\r\n\r\n\t\t\t\t\t\tif (vp.bottom) { viewport.height = vp.bottom - viewport.y }\r\n\t\t\t\t\t\telse { viewport.height = vp.h || vp.height || 0 }\r\n\t\t\t\t\t}\r\n\t\t\t\t\telse {\r\n\t\t\t\t\t\tviewport = {\r\n\t\t\t\t\t\t\tx: 0, y: 0,\r\n\t\t\t\t\t\t\twidth: gl.drawingBufferWidth,\r\n\t\t\t\t\t\t\theight: gl.drawingBufferHeight\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\r\n\t\t\t\t\treturn viewport\r\n\t\t\t\t}\r\n\t\t\t}])\r\n\r\n\t\t\treturn group\r\n\t\t})\r\n\r\n\t\tif (pointCount || errorCount) {\r\n\t\t\tvar len = groups.reduce(function (acc, group, i) {\r\n\t\t\t\treturn acc + (group ? group.count : 0)\r\n\t\t\t}, 0)\r\n\r\n\t\t\tvar positionData = new Float64Array(len * 2)\r\n\t\t\tvar colorData = new Uint8Array(len * 4)\r\n\t\t\tvar errorData = new Float32Array(len * 4)\r\n\r\n\t\t\tgroups.forEach(function (group, i) {\r\n\t\t\t\tif (!group) { return }\r\n\t\t\t\tvar positions = group.positions;\n\t\t\t\tvar count = group.count;\n\t\t\t\tvar offset = group.offset;\n\t\t\t\tvar color = group.color;\n\t\t\t\tvar errors = group.errors;\r\n\t\t\t\tif (!count) { return }\r\n\r\n\t\t\t\tcolorData.set(color, offset * 4)\r\n\t\t\t\terrorData.set(errors, offset * 4)\r\n\t\t\t\tpositionData.set(positions, offset * 2)\r\n\t\t\t})\r\n\r\n\t\t\tpositionBuffer(float32(positionData))\r\n\t\t\tpositionFractBuffer(fract32(positionData))\r\n\t\t\tcolorBuffer(colorData)\r\n\t\t\terrorBuffer(errorData)\r\n\t\t}\r\n\r\n\t}\r\n\r\n\tfunction destroy () {\r\n\t\tpositionBuffer.destroy()\r\n\t\tpositionFractBuffer.destroy()\r\n\t\tcolorBuffer.destroy()\r\n\t\terrorBuffer.destroy()\r\n\t\tmeshBuffer.destroy()\r\n\t}\r\n}\r\n},{\"array-bounds\":53,\"color-normalize\":108,\"flatten-vertex-data\":216,\"object-assign\":437,\"pick-by-alias\":448,\"to-float32\":515,\"update-diff\":526}],474:[function(_dereq_,module,exports){\n'use strict'\n\n\nvar rgba = _dereq_('color-normalize')\nvar getBounds = _dereq_('array-bounds')\nvar extend = _dereq_('object-assign')\nvar glslify = _dereq_('glslify')\nvar pick = _dereq_('pick-by-alias')\nvar flatten = _dereq_('flatten-vertex-data')\nvar triangulate = _dereq_('earcut')\nvar normalize = _dereq_('array-normalize')\nvar ref = _dereq_('to-float32');\nvar float32 = ref.float32;\nvar fract32 = ref.fract32;\nvar WeakMap = _dereq_('es6-weak-map')\nvar parseRect = _dereq_('parse-rect')\n\n\nmodule.exports = Line2D\n\n\n/** @constructor */\nfunction Line2D (regl, options) {\n\tif (!(this instanceof Line2D)) { return new Line2D(regl, options) }\n\n\tif (typeof regl === 'function') {\n\t\tif (!options) { options = {} }\n\t\toptions.regl = regl\n\t}\n\telse {\n\t\toptions = regl\n\t}\n\tif (options.length) { options.positions = options }\n\tregl = options.regl\n\n\tif (!regl.hasExtension('ANGLE_instanced_arrays')) {\n\t\tthrow Error('regl-error2d: `ANGLE_instanced_arrays` extension should be enabled');\n\t}\n\n\t// persistent variables\n\tthis.gl = regl._gl\n\tthis.regl = regl\n\n\t// list of options for lines\n\tthis.passes = []\n\n\t// cached shaders instance\n\tthis.shaders = Line2D.shaders.has(regl) ? Line2D.shaders.get(regl) : Line2D.shaders.set(regl, Line2D.createShaders(regl)).get(regl)\n\n\n\t// init defaults\n\tthis.update(options)\n}\n\n\nLine2D.dashMult = 2\nLine2D.maxPatternLength = 256\nLine2D.precisionThreshold = 3e6\nLine2D.maxPoints = 1e4\nLine2D.maxLines = 2048\n\n\n// cache of created draw calls per-regl instance\nLine2D.shaders = new WeakMap()\n\n\n// create static shaders once\nLine2D.createShaders = function (regl) {\n\tvar offsetBuffer = regl.buffer({\n\t\tusage: 'static',\n\t\ttype: 'float',\n\t\tdata: [0,1, 0,0, 1,1, 1,0]\n\t})\n\n\tvar shaderOptions = {\n\t\tprimitive: 'triangle strip',\n\t\tinstances: regl.prop('count'),\n\t\tcount: 4,\n\t\toffset: 0,\n\n\t\tuniforms: {\n\t\t\tmiterMode: function (ctx, prop) { return prop.join === 'round' ? 2 : 1; },\n\t\t\tmiterLimit: regl.prop('miterLimit'),\n\t\t\tscale: regl.prop('scale'),\n\t\t\tscaleFract: regl.prop('scaleFract'),\n\t\t\ttranslateFract: regl.prop('translateFract'),\n\t\t\ttranslate: regl.prop('translate'),\n\t\t\tthickness: regl.prop('thickness'),\n\t\t\tdashPattern: regl.prop('dashTexture'),\n\t\t\topacity: regl.prop('opacity'),\n\t\t\tpixelRatio: regl.context('pixelRatio'),\n\t\t\tid: regl.prop('id'),\n\t\t\tdashSize: regl.prop('dashLength'),\n\t\t\tviewport: function (c, p) { return [p.viewport.x, p.viewport.y, c.viewportWidth, c.viewportHeight]; },\n\t\t\tdepth: regl.prop('depth')\n\t\t},\n\n\t\tblend: {\n\t\t\tenable: true,\n\t\t\tcolor: [0,0,0,0],\n\t\t\tequation: {\n\t\t\t\trgb: 'add',\n\t\t\t\talpha: 'add'\n\t\t\t},\n\t\t\tfunc: {\n\t\t\t\tsrcRGB: 'src alpha',\n\t\t\t\tdstRGB: 'one minus src alpha',\n\t\t\t\tsrcAlpha: 'one minus dst alpha',\n\t\t\t\tdstAlpha: 'one'\n\t\t\t}\n\t\t},\n\t\tdepth: {\n\t\t\tenable: function (c, p) {\n\t\t\t\treturn !p.overlay\n\t\t\t}\n\t\t},\n\t\tstencil: {enable: false},\n\t\tscissor: {\n\t\t\tenable: true,\n\t\t\tbox: regl.prop('viewport')\n\t\t},\n\t\tviewport: regl.prop('viewport')\n\t}\n\n\n\t// simplified rectangular line shader\n\tvar drawRectLine = regl(extend({\n\t\tvert: glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),\n\t\tfrag: glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),\n\n\t\tattributes: {\n\t\t\t// if point is at the end of segment\n\t\t\tlineEnd: {\n\t\t\t\tbuffer: offsetBuffer,\n\t\t\t\tdivisor: 0,\n\t\t\t\tstride: 8,\n\t\t\t\toffset: 0\n\t\t\t},\n\t\t\t// if point is at the top of segment\n\t\t\tlineTop: {\n\t\t\t\tbuffer: offsetBuffer,\n\t\t\t\tdivisor: 0,\n\t\t\t\tstride: 8,\n\t\t\t\toffset: 4\n\t\t\t},\n\t\t\t// beginning of line coordinate\n\t\t\taCoord: {\n\t\t\t\tbuffer: regl.prop('positionBuffer'),\n\t\t\t\tstride: 8,\n\t\t\t\toffset: 8,\n\t\t\t\tdivisor: 1\n\t\t\t},\n\t\t\t// end of line coordinate\n\t\t\tbCoord: {\n\t\t\t\tbuffer: regl.prop('positionBuffer'),\n\t\t\t\tstride: 8,\n\t\t\t\toffset: 16,\n\t\t\t\tdivisor: 1\n\t\t\t},\n\t\t\taCoordFract: {\n\t\t\t\tbuffer: regl.prop('positionFractBuffer'),\n\t\t\t\tstride: 8,\n\t\t\t\toffset: 8,\n\t\t\t\tdivisor: 1\n\t\t\t},\n\t\t\tbCoordFract: {\n\t\t\t\tbuffer: regl.prop('positionFractBuffer'),\n\t\t\t\tstride: 8,\n\t\t\t\toffset: 16,\n\t\t\t\tdivisor: 1\n\t\t\t},\n\t\t\tcolor: {\n\t\t\t\tbuffer: regl.prop('colorBuffer'),\n\t\t\t\tstride: 4,\n\t\t\t\toffset: 0,\n\t\t\t\tdivisor: 1\n\t\t\t}\n\t\t}\n\t}, shaderOptions))\n\n\t// create regl draw\n\tvar drawMiterLine\n\n\ttry {\n\t\tdrawMiterLine = regl(extend({\n\t\t\t// culling removes polygon creasing\n\t\t\tcull: {\n\t\t\t\tenable: true,\n\t\t\t\tface: 'back'\n\t\t\t},\n\n\t\t\tvert: glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),\n\t\t\tfrag: glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),\n\n\t\t\tattributes: {\n\t\t\t\t// is line end\n\t\t\t\tlineEnd: {\n\t\t\t\t\tbuffer: offsetBuffer,\n\t\t\t\t\tdivisor: 0,\n\t\t\t\t\tstride: 8,\n\t\t\t\t\toffset: 0\n\t\t\t\t},\n\t\t\t\t// is line top\n\t\t\t\tlineTop: {\n\t\t\t\t\tbuffer: offsetBuffer,\n\t\t\t\t\tdivisor: 0,\n\t\t\t\t\tstride: 8,\n\t\t\t\t\toffset: 4\n\t\t\t\t},\n\t\t\t\t// left color\n\t\t\t\taColor: {\n\t\t\t\t\tbuffer: regl.prop('colorBuffer'),\n\t\t\t\t\tstride: 4,\n\t\t\t\t\toffset: 0,\n\t\t\t\t\tdivisor: 1\n\t\t\t\t},\n\t\t\t\t// right color\n\t\t\t\tbColor: {\n\t\t\t\t\tbuffer: regl.prop('colorBuffer'),\n\t\t\t\t\tstride: 4,\n\t\t\t\t\toffset: 4,\n\t\t\t\t\tdivisor: 1\n\t\t\t\t},\n\t\t\t\tprevCoord: {\n\t\t\t\t\tbuffer: regl.prop('positionBuffer'),\n\t\t\t\t\tstride: 8,\n\t\t\t\t\toffset: 0,\n\t\t\t\t\tdivisor: 1\n\t\t\t\t},\n\t\t\t\taCoord: {\n\t\t\t\t\tbuffer: regl.prop('positionBuffer'),\n\t\t\t\t\tstride: 8,\n\t\t\t\t\toffset: 8,\n\t\t\t\t\tdivisor: 1\n\t\t\t\t},\n\t\t\t\tbCoord: {\n\t\t\t\t\tbuffer: regl.prop('positionBuffer'),\n\t\t\t\t\tstride: 8,\n\t\t\t\t\toffset: 16,\n\t\t\t\t\tdivisor: 1\n\t\t\t\t},\n\t\t\t\tnextCoord: {\n\t\t\t\t\tbuffer: regl.prop('positionBuffer'),\n\t\t\t\t\tstride: 8,\n\t\t\t\t\toffset: 24,\n\t\t\t\t\tdivisor: 1\n\t\t\t\t}\n\t\t\t}\n\t\t}, shaderOptions))\n\t} catch (e) {\n\t\t// IE/bad Webkit fallback\n\t\tdrawMiterLine = drawRectLine\n\t}\n\n\t// fill shader\n\tvar drawFill = regl({\n\t\tprimitive: 'triangle',\n\t\telements: function (ctx, prop) { return prop.triangles; },\n\t\toffset: 0,\n\n\t\tvert: glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),\n\t\tfrag: glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),\n\n\t\tuniforms: {\n\t\t\tscale: regl.prop('scale'),\n\t\t\tcolor: regl.prop('fill'),\n\t\t\tscaleFract: regl.prop('scaleFract'),\n\t\t\ttranslateFract: regl.prop('translateFract'),\n\t\t\ttranslate: regl.prop('translate'),\n\t\t\topacity: regl.prop('opacity'),\n\t\t\tpixelRatio: regl.context('pixelRatio'),\n\t\t\tid: regl.prop('id'),\n\t\t\tviewport: function (ctx, prop) { return [prop.viewport.x, prop.viewport.y, ctx.viewportWidth, ctx.viewportHeight]; }\n\t\t},\n\n\t\tattributes: {\n\t\t\tposition: {\n\t\t\t\tbuffer: regl.prop('positionBuffer'),\n\t\t\t\tstride: 8,\n\t\t\t\toffset: 8\n\t\t\t},\n\t\t\tpositionFract: {\n\t\t\t\tbuffer: regl.prop('positionFractBuffer'),\n\t\t\t\tstride: 8,\n\t\t\t\toffset: 8\n\t\t\t}\n\t\t},\n\n\t\tblend: shaderOptions.blend,\n\n\t\tdepth: { enable: false },\n\t\tscissor: shaderOptions.scissor,\n\t\tstencil: shaderOptions.stencil,\n\t\tviewport: shaderOptions.viewport\n\t})\n\n\treturn {\n\t\tfill: drawFill, rect: drawRectLine, miter: drawMiterLine\n\t}\n}\n\n\n// used to for new lines instances\nLine2D.defaults = {\n\tdashes: null,\n\tjoin: 'miter',\n\tmiterLimit: 1,\n\tthickness: 10,\n\tcap: 'square',\n\tcolor: 'black',\n\topacity: 1,\n\toverlay: false,\n\tviewport: null,\n\trange: null,\n\tclose: false,\n\tfill: null\n}\n\n\nLine2D.prototype.render = function () {\n\tvar ref;\n\n\tvar args = [], len = arguments.length;\n\twhile ( len-- ) args[ len ] = arguments[ len ];\n\tif (args.length) {\n\t\t(ref = this).update.apply(ref, args)\n\t}\n\n\tthis.draw()\n}\n\n\nLine2D.prototype.draw = function () {\n\tvar this$1 = this;\n\tvar args = [], len = arguments.length;\n\twhile ( len-- ) args[ len ] = arguments[ len ];\n\n\t// render multiple polylines via regl batch\n\t(args.length ? args : this.passes).forEach(function (s, i) {\n\t\tvar ref;\n\n\t\t// render array pass as a list of passes\n\t\tif (s && Array.isArray(s)) { return (ref = this$1).draw.apply(ref, s) }\n\n\t\tif (typeof s === 'number') { s = this$1.passes[s] }\n\n\t\tif (!(s && s.count > 1 && s.opacity)) { return }\n\n\t\tthis$1.regl._refresh()\n\n\t\tif (s.fill && s.triangles && s.triangles.length > 2) {\n\t\t\tthis$1.shaders.fill(s)\n\t\t}\n\n\t\tif (!s.thickness) { return }\n\n\t\t// high scale is only available for rect mode with precision\n\t\tif (s.scale[0] * s.viewport.width > Line2D.precisionThreshold || s.scale[1] * s.viewport.height > Line2D.precisionThreshold) {\n\t\t\tthis$1.shaders.rect(s)\n\t\t}\n\n\t\t// thin this.passes or too many points are rendered as simplified rect shader\n\t\telse if (s.join === 'rect' || (!s.join && (s.thickness <= 2 || s.count >= Line2D.maxPoints))) {\n\t\t\tthis$1.shaders.rect(s)\n\t\t}\n\t\telse {\n\t\t\tthis$1.shaders.miter(s)\n\t\t}\n\t})\n\n\treturn this\n}\n\nLine2D.prototype.update = function (options) {\n\tvar this$1 = this;\n\n\tif (!options) { return }\n\n\tif (options.length != null) {\n\t\tif (typeof options[0] === 'number') { options = [{positions: options}] }\n\t}\n\n\t// make options a batch\n\telse if (!Array.isArray(options)) { options = [options] }\n\n\tvar ref = this;\n\tvar regl = ref.regl;\n\tvar gl = ref.gl;\n\n\t// process per-line settings\n\toptions.forEach(function (o, i) {\n\t\tvar state = this$1.passes[i]\n\n\t\tif (o === undefined) { return }\n\n\t\t// null-argument removes pass\n\t\tif (o === null) {\n\t\t\tthis$1.passes[i] = null\n\t\t\treturn\n\t\t}\n\n\t\tif (typeof o[0] === 'number') { o = {positions: o} }\n\n\t\t// handle aliases\n\t\to = pick(o, {\n\t\t\tpositions: 'positions points data coords',\n\t\t\tthickness: 'thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth',\n\t\t\tjoin: 'lineJoin linejoin join type mode',\n\t\t\tmiterLimit: 'miterlimit miterLimit',\n\t\t\tdashes: 'dash dashes dasharray dash-array dashArray',\n\t\t\tcolor: 'color colour stroke colors colours stroke-color strokeColor',\n\t\t\tfill: 'fill fill-color fillColor',\n\t\t\topacity: 'alpha opacity',\n\t\t\toverlay: 'overlay crease overlap intersect',\n\t\t\tclose: 'closed close closed-path closePath',\n\t\t\trange: 'range dataBox',\n\t\t\tviewport: 'viewport viewBox',\n\t\t\thole: 'holes hole hollow'\n\t\t})\n\n\t\t// init state\n\t\tif (!state) {\n\t\t\tthis$1.passes[i] = state = {\n\t\t\t\tid: i,\n\t\t\t\tscale: null,\n\t\t\t\tscaleFract: null,\n\t\t\t\ttranslate: null,\n\t\t\t\ttranslateFract: null,\n\t\t\t\tcount: 0,\n\t\t\t\thole: [],\n\t\t\t\tdepth: 0,\n\n\t\t\t\tdashLength: 1,\n\t\t\t\tdashTexture: regl.texture({\n\t\t\t\t\tchannels: 1,\n\t\t\t\t\tdata: new Uint8Array([255]),\n\t\t\t\t\twidth: 1,\n\t\t\t\t\theight: 1,\n\t\t\t\t\tmag: 'linear',\n\t\t\t\t\tmin: 'linear'\n\t\t\t\t}),\n\n\t\t\t\tcolorBuffer: regl.buffer({\n\t\t\t\t\tusage: 'dynamic',\n\t\t\t\t\ttype: 'uint8',\n\t\t\t\t\tdata: new Uint8Array()\n\t\t\t\t}),\n\t\t\t\tpositionBuffer: regl.buffer({\n\t\t\t\t\tusage: 'dynamic',\n\t\t\t\t\ttype: 'float',\n\t\t\t\t\tdata: new Uint8Array()\n\t\t\t\t}),\n\t\t\t\tpositionFractBuffer: regl.buffer({\n\t\t\t\t\tusage: 'dynamic',\n\t\t\t\t\ttype: 'float',\n\t\t\t\t\tdata: new Uint8Array()\n\t\t\t\t})\n\t\t\t}\n\n\t\t\to = extend({}, Line2D.defaults, o)\n\t\t}\n\t\tif (o.thickness != null) { state.thickness = parseFloat(o.thickness) }\n\t\tif (o.opacity != null) { state.opacity = parseFloat(o.opacity) }\n\t\tif (o.miterLimit != null) { state.miterLimit = parseFloat(o.miterLimit) }\n\t\tif (o.overlay != null) {\n\t\t\tstate.overlay = !!o.overlay\n\t\t\tif (i < Line2D.maxLines) {\n\t\t\t\tstate.depth = 2 * (Line2D.maxLines - 1 - i % Line2D.maxLines) / Line2D.maxLines - 1.;\n\t\t\t}\n\t\t}\n\t\tif (o.join != null) { state.join = o.join }\n\t\tif (o.hole != null) { state.hole = o.hole }\n\t\tif (o.fill != null) { state.fill = !o.fill ? null : rgba(o.fill, 'uint8') }\n\t\tif (o.viewport != null) { state.viewport = parseRect(o.viewport) }\n\n\t\tif (!state.viewport) {\n\t\t\tstate.viewport = parseRect([\n\t\t\t\tgl.drawingBufferWidth,\n\t\t\t\tgl.drawingBufferHeight\n\t\t\t])\n\t\t}\n\n\t\tif (o.close != null) { state.close = o.close }\n\n\t\t// reset positions\n\t\tif (o.positions === null) { o.positions = [] }\n\t\tif (o.positions) {\n\t\t\tvar positions, count\n\n\t\t\t// if positions are an object with x/y\n\t\t\tif (o.positions.x && o.positions.y) {\n\t\t\t\tvar xPos = o.positions.x\n\t\t\t\tvar yPos = o.positions.y\n\t\t\t\tcount = state.count = Math.max(\n\t\t\t\t\txPos.length,\n\t\t\t\t\tyPos.length\n\t\t\t\t)\n\t\t\t\tpositions = new Float64Array(count * 2)\n\t\t\t\tfor (var i$1 = 0; i$1 < count; i$1++) {\n\t\t\t\t\tpositions[i$1 * 2] = xPos[i$1]\n\t\t\t\t\tpositions[i$1 * 2 + 1] = yPos[i$1]\n\t\t\t\t}\n\t\t\t}\n\t\t\telse {\n\t\t\t\tpositions = flatten(o.positions, 'float64')\n\t\t\t\tcount = state.count = Math.floor(positions.length / 2)\n\t\t\t}\n\n\t\t\tvar bounds = state.bounds = getBounds(positions, 2)\n\n\t\t\t// create fill positions\n\t\t\t// FIXME: fill positions can be set only along with positions\n\t\t\tif (state.fill) {\n\t\t\t\tvar pos = []\n\n\t\t\t\t// filter bad vertices and remap triangles to ensure shape\n\t\t\t\tvar ids = {}\n\t\t\t\tvar lastId = 0\n\n\t\t\t\tfor (var i$2 = 0, ptr = 0, l = state.count; i$2 < l; i$2++) {\n\t\t\t\t\tvar x = positions[i$2*2]\n\t\t\t\t\tvar y = positions[i$2*2 + 1]\n\t\t\t\t\tif (isNaN(x) || isNaN(y) || x == null || y == null) {\n\t\t\t\t\t\tx = positions[lastId*2]\n\t\t\t\t\t\ty = positions[lastId*2 + 1]\n\t\t\t\t\t\tids[i$2] = lastId\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tlastId = i$2\n\t\t\t\t\t}\n\t\t\t\t\tpos[ptr++] = x\n\t\t\t\t\tpos[ptr++] = y\n\t\t\t\t}\n\n\t\t\t\tvar triangles = triangulate(pos, state.hole || [])\n\n\t\t\t\tfor (var i$3 = 0, l$1 = triangles.length; i$3 < l$1; i$3++) {\n\t\t\t\t\tif (ids[triangles[i$3]] != null) { triangles[i$3] = ids[triangles[i$3]] }\n\t\t\t\t}\n\n\t\t\t\tstate.triangles = triangles\n\t\t\t}\n\n\t\t\t// update position buffers\n\t\t\tvar npos = new Float64Array(positions)\n\t\t\tnormalize(npos, 2, bounds)\n\n\t\t\tvar positionData = new Float64Array(count * 2 + 6)\n\n\t\t\t// rotate first segment join\n\t\t\tif (state.close) {\n\t\t\t\tif (positions[0] === positions[count*2 - 2] &&\n\t\t\t\t\tpositions[1] === positions[count*2 - 1]) {\n\t\t\t\t\tpositionData[0] = npos[count*2 - 4]\n\t\t\t\t\tpositionData[1] = npos[count*2 - 3]\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tpositionData[0] = npos[count*2 - 2]\n\t\t\t\t\tpositionData[1] = npos[count*2 - 1]\n\t\t\t\t}\n\t\t\t}\n\t\t\telse {\n\t\t\t\tpositionData[0] = npos[0]\n\t\t\t\tpositionData[1] = npos[1]\n\t\t\t}\n\n\t\t\tpositionData.set(npos, 2)\n\n\t\t\t// add last segment\n\t\t\tif (state.close) {\n\t\t\t\t// ignore coinciding start/end\n\t\t\t\tif (positions[0] === positions[count*2 - 2] &&\n\t\t\t\t\tpositions[1] === positions[count*2 - 1]) {\n\t\t\t\t\tpositionData[count*2 + 2] = npos[2]\n\t\t\t\t\tpositionData[count*2 + 3] = npos[3]\n\t\t\t\t\tstate.count -= 1\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tpositionData[count*2 + 2] = npos[0]\n\t\t\t\t\tpositionData[count*2 + 3] = npos[1]\n\t\t\t\t\tpositionData[count*2 + 4] = npos[2]\n\t\t\t\t\tpositionData[count*2 + 5] = npos[3]\n\t\t\t\t}\n\t\t\t}\n\t\t\t// add stub\n\t\t\telse {\n\t\t\t\tpositionData[count*2 + 2] = npos[count*2 - 2]\n\t\t\t\tpositionData[count*2 + 3] = npos[count*2 - 1]\n\t\t\t\tpositionData[count*2 + 4] = npos[count*2 - 2]\n\t\t\t\tpositionData[count*2 + 5] = npos[count*2 - 1]\n\t\t\t}\n\n\t\t\tstate.positionBuffer(float32(positionData))\n\t\t\tstate.positionFractBuffer(fract32(positionData))\n\t\t}\n\n\t\tif (o.range) {\n\t\t\tstate.range = o.range\n\t\t} else if (!state.range) {\n\t\t\tstate.range = state.bounds\n\t\t}\n\n\t\tif ((o.range || o.positions) && state.count) {\n\t\t\tvar bounds$1 = state.bounds\n\n\t\t\tvar boundsW = bounds$1[2] - bounds$1[0],\n\t\t\t\tboundsH = bounds$1[3] - bounds$1[1]\n\n\t\t\tvar rangeW = state.range[2] - state.range[0],\n\t\t\t\trangeH = state.range[3] - state.range[1]\n\n\t\t\tstate.scale = [\n\t\t\t\tboundsW / rangeW,\n\t\t\t\tboundsH / rangeH\n\t\t\t]\n\t\t\tstate.translate = [\n\t\t\t\t-state.range[0] / rangeW + bounds$1[0] / rangeW || 0,\n\t\t\t\t-state.range[1] / rangeH + bounds$1[1] / rangeH || 0\n\t\t\t]\n\n\t\t\tstate.scaleFract = fract32(state.scale)\n\t\t\tstate.translateFract = fract32(state.translate)\n\t\t}\n\n\t\tif (o.dashes) {\n\t\t\tvar dashLength = 0., dashData\n\n\t\t\tif (!o.dashes || o.dashes.length < 2) {\n\t\t\t\tdashLength = 1.\n\t\t\t\tdashData = new Uint8Array([255, 255, 255, 255, 255, 255, 255, 255])\n\t\t\t}\n\n\t\t\telse {\n\t\t\t\tdashLength = 0.;\n\t\t\t\tfor(var i$4 = 0; i$4 < o.dashes.length; ++i$4) {\n\t\t\t\t\tdashLength += o.dashes[i$4]\n\t\t\t\t}\n\t\t\t\tdashData = new Uint8Array(dashLength * Line2D.dashMult)\n\t\t\t\tvar ptr$1 = 0\n\t\t\t\tvar fillColor = 255\n\n\t\t\t\t// repeat texture two times to provide smooth 0-step\n\t\t\t\tfor (var k = 0; k < 2; k++) {\n\t\t\t\t\tfor(var i$5 = 0; i$5 < o.dashes.length; ++i$5) {\n\t\t\t\t\t\tfor(var j = 0, l$2 = o.dashes[i$5] * Line2D.dashMult * .5; j < l$2; ++j) {\n\t\t\t\t\t\t\tdashData[ptr$1++] = fillColor\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfillColor ^= 255\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tstate.dashLength = dashLength\n\t\t\tstate.dashTexture({\n\t\t\t\tchannels: 1,\n\t\t\t\tdata: dashData,\n\t\t\t\twidth: dashData.length,\n\t\t\t\theight: 1,\n\t\t\t\tmag: 'linear',\n\t\t\t\tmin: 'linear'\n\t\t\t}, 0, 0)\n\t\t}\n\n\t\tif (o.color) {\n\t\t\tvar count$1 = state.count\n\t\t\tvar colors = o.color\n\n\t\t\tif (!colors) { colors = 'transparent' }\n\n\t\t\tvar colorData = new Uint8Array(count$1 * 4 + 4)\n\n\t\t\t// convert colors to typed arrays\n\t\t\tif (!Array.isArray(colors) || typeof colors[0] === 'number') {\n\t\t\t\tvar c = rgba(colors, 'uint8')\n\n\t\t\t\tfor (var i$6 = 0; i$6 < count$1 + 1; i$6++) {\n\t\t\t\t\tcolorData.set(c, i$6 * 4)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tfor (var i$7 = 0; i$7 < count$1; i$7++) {\n\t\t\t\t\tvar c$1 = rgba(colors[i$7], 'uint8')\n\t\t\t\t\tcolorData.set(c$1, i$7 * 4)\n\t\t\t\t}\n\t\t\t\tcolorData.set(rgba(colors[0], 'uint8'), count$1 * 4)\n\t\t\t}\n\n\t\t\tstate.colorBuffer({\n\t\t\t\tusage: 'dynamic',\n\t\t\t\ttype: 'uint8',\n\t\t\t\tdata: colorData\n\t\t\t})\n\t\t}\n\t})\n\n\t// remove unmentioned passes\n\tif (options.length < this.passes.length) {\n\t\tfor (var i = options.length; i < this.passes.length; i++) {\n\t\t\tvar pass = this$1.passes[i]\n\t\t\tif (!pass) { continue }\n\t\t\tpass.colorBuffer.destroy()\n\t\t\tpass.positionBuffer.destroy()\n\t\t\tpass.dashTexture.destroy()\n\t\t}\n\t\tthis.passes.length = options.length\n\t}\n\n\t// remove null items\n\tvar passes = []\n\tfor (var i$1 = 0; i$1 < this.passes.length; i$1++) {\n\t\tif (this$1.passes[i$1] !== null) { passes.push(this$1.passes[i$1]) }\n\t}\n\tthis.passes = passes\n\n\treturn this\n}\n\nLine2D.prototype.destroy = function () {\n\tthis.passes.forEach(function (pass) {\n\t\tpass.colorBuffer.destroy()\n\t\tpass.positionBuffer.destroy()\n\t\tpass.dashTexture.destroy()\n\t})\n\n\tthis.passes.length = 0\n\n\treturn this\n}\n\n},{\"array-bounds\":53,\"array-normalize\":54,\"color-normalize\":108,\"earcut\":156,\"es6-weak-map\":209,\"flatten-vertex-data\":216,\"glslify\":392,\"object-assign\":437,\"parse-rect\":442,\"pick-by-alias\":448,\"to-float32\":515}],475:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar Scatter = _dereq_('./scatter')\r\nvar extend = _dereq_('object-assign')\r\n\r\nmodule.exports = function (regl, options) {\r\n\tvar scatter = new Scatter(regl, options)\r\n\r\n\tvar render = scatter.render.bind(scatter)\r\n\r\n\t// expose API\r\n\textend(render, {\r\n\t\trender: render,\r\n\t\tupdate: scatter.update.bind(scatter),\r\n\t\tdraw: scatter.draw.bind(scatter),\r\n\t\tdestroy: scatter.destroy.bind(scatter),\r\n\t\tregl: scatter.regl,\r\n\t\tgl: scatter.gl,\r\n\t\tcanvas: scatter.gl.canvas,\r\n\t\tgroups: scatter.groups,\r\n\t\tmarkers: scatter.markerCache,\r\n\t\tpalette: scatter.palette\r\n\t})\r\n\r\n\treturn render\r\n}\r\n},{\"./scatter\":476,\"object-assign\":437}],476:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar rgba = _dereq_('color-normalize')\r\nvar getBounds = _dereq_('array-bounds')\r\nvar colorId = _dereq_('color-id')\r\nvar cluster = _dereq_('point-cluster')\r\nvar extend = _dereq_('object-assign')\r\nvar glslify = _dereq_('glslify')\r\nvar pick = _dereq_('pick-by-alias')\r\nvar updateDiff = _dereq_('update-diff')\r\nvar flatten = _dereq_('flatten-vertex-data')\r\nvar ie = _dereq_('is-iexplorer')\r\nvar f32 = _dereq_('to-float32')\r\nvar parseRect = _dereq_('parse-rect')\r\n\r\n\r\nmodule.exports = Scatter\r\n\r\n\r\nfunction Scatter (regl, options) {\n\tvar this$1 = this;\n\r\n\tif (!(this instanceof Scatter)) { return new Scatter(regl, options) }\r\n\r\n\tif (typeof regl === 'function') {\r\n\t\tif (!options) { options = {} }\r\n\t\toptions.regl = regl\r\n\t}\r\n\telse {\r\n\t\toptions = regl\r\n\t\tregl = null\r\n\t}\r\n\r\n\tif (options && options.length) { options.positions = options }\r\n\r\n\tregl = options.regl\r\n\r\n\t// persistent variables\r\n\tvar gl = regl._gl, paletteTexture, palette = [], paletteIds = {},\r\n\r\n\t\t// state\r\n\t\tgroups = [],\r\n\r\n\t\t// textures for marker keys\r\n\t\tmarkerTextures = [null],\r\n\t\tmarkerCache = [null]\r\n\r\n\tvar maxColors = 255, maxSize = 100\r\n\r\n\t// direct color buffer mode\r\n\t// IE does not support palette anyways\r\n\tthis.tooManyColors = ie\r\n\r\n\t// texture with color palette\r\n\tpaletteTexture = regl.texture({\r\n\t\tdata: new Uint8Array(maxColors * 4),\r\n\t\twidth: maxColors,\r\n\t\theight: 1,\r\n\t\ttype: 'uint8',\r\n\t\tformat: 'rgba',\r\n\t\twrapS: 'clamp',\r\n\t\twrapT: 'clamp',\r\n\t\tmag: 'nearest',\r\n\t\tmin: 'nearest'\r\n\t})\r\n\r\n\textend(this, {\r\n\t\tregl: regl,\r\n\t\tgl: gl,\r\n\t\tgroups: groups,\r\n\t\tmarkerCache: markerCache,\r\n\t\tmarkerTextures: markerTextures,\r\n\t\tpalette: palette,\r\n\t\tpaletteIds: paletteIds,\r\n\t\tpaletteTexture: paletteTexture,\r\n\t\tmaxColors: maxColors,\r\n\t\tmaxSize: maxSize,\r\n\t\tcanvas: gl.canvas\r\n\t})\r\n\r\n\tthis.update(options)\r\n\r\n\t// common shader options\r\n\tvar shaderOptions = {\r\n\t\tuniforms: {\r\n\t\t\tpixelRatio: regl.context('pixelRatio'),\r\n\t\t\tpalette: paletteTexture,\r\n\t\t\tpaletteSize: function (ctx, prop) { return [this$1.tooManyColors ? 0 : maxColors, paletteTexture.height]; },\r\n\t\t\tscale: regl.prop('scale'),\r\n\t\t\tscaleFract: regl.prop('scaleFract'),\r\n\t\t\ttranslate: regl.prop('translate'),\r\n\t\t\ttranslateFract: regl.prop('translateFract'),\r\n\t\t\topacity: regl.prop('opacity'),\r\n\t\t\tmarker: regl.prop('markerTexture'),\r\n\t\t},\r\n\r\n\t\tattributes: {\r\n\t\t\t// FIXME: optimize these parts\r\n\t\t\tx: function (ctx, prop) { return prop.xAttr || {\r\n\t\t\t\tbuffer: prop.positionBuffer,\r\n\t\t\t\tstride: 8,\r\n\t\t\t\toffset: 0\r\n\t\t\t}; },\r\n\t\t\ty: function (ctx, prop) { return prop.yAttr || {\r\n\t\t\t\tbuffer: prop.positionBuffer,\r\n\t\t\t\tstride: 8,\r\n\t\t\t\toffset: 4\r\n\t\t\t}; },\r\n\t\t\txFract: function (ctx, prop) { return prop.xAttr ? { constant: [0, 0] } : {\r\n\t\t\t\tbuffer: prop.positionFractBuffer,\r\n\t\t\t\tstride: 8,\r\n\t\t\t\toffset: 0\r\n\t\t\t}; },\r\n\t\t\tyFract: function (ctx, prop) { return prop.yAttr ? { constant: [0, 0] } : {\r\n\t\t\t\tbuffer: prop.positionFractBuffer,\r\n\t\t\t\tstride: 8,\r\n\t\t\t\toffset: 4\r\n\t\t\t}; },\r\n\t\t\tsize: function (ctx, prop) { return prop.size.length ? {\r\n\t\t\t\tbuffer: prop.sizeBuffer,\r\n\t\t\t\tstride: 2,\r\n\t\t\t\toffset: 0\r\n\t\t\t} : {\r\n\t\t\t\tconstant: [ Math.round(prop.size * 255 / this$1.maxSize) ]\r\n\t\t\t}; },\r\n\t\t\tborderSize: function (ctx, prop) { return prop.borderSize.length ? {\r\n\t\t\t\tbuffer: prop.sizeBuffer,\r\n\t\t\t\tstride: 2,\r\n\t\t\t\toffset: 1\r\n\t\t\t} : {\r\n\t\t\t\tconstant: [ Math.round(prop.borderSize * 255 / this$1.maxSize) ]\r\n\t\t\t}; },\r\n\t\t\tcolorId: function (ctx, prop) { return prop.color.length ? {\r\n\t\t\t\tbuffer: prop.colorBuffer,\r\n\t\t\t\tstride: this$1.tooManyColors ? 8 : 4,\r\n\t\t\t\toffset: 0\r\n\t\t\t} : {\r\n\t\t\t\tconstant: this$1.tooManyColors ? palette.slice(prop.color * 4, prop.color * 4 + 4) : [ prop.color ]\r\n\t\t\t}; },\r\n\t\t\tborderColorId: function (ctx, prop) { return prop.borderColor.length ? {\r\n\t\t\t\tbuffer: prop.colorBuffer,\r\n\t\t\t\tstride: this$1.tooManyColors ? 8 : 4,\r\n\t\t\t\toffset: this$1.tooManyColors ? 4 : 2\r\n\t\t\t} : {\r\n\t\t\t\tconstant: this$1.tooManyColors ? palette.slice(prop.borderColor * 4, prop.borderColor * 4 + 4) : [ prop.borderColor ]\r\n\t\t\t}; },\r\n\t\t\tisActive: function (ctx, prop) { return prop.activation === true ? { constant: [1] } : prop.activation ? prop.activation : { constant: [0] }; }\r\n\t\t},\r\n\r\n\t\tblend: {\r\n\t\t\tenable: true,\r\n\t\t\tcolor: [0,0,0,1],\r\n\r\n\t\t\t// photoshop blending\r\n\t\t\tfunc: {\r\n\t\t\t\tsrcRGB: 'src alpha',\r\n\t\t\t\tdstRGB: 'one minus src alpha',\r\n\t\t\t\tsrcAlpha: 'one minus dst alpha',\r\n\t\t\t\tdstAlpha: 'one'\r\n\t\t\t}\r\n\t\t},\r\n\r\n\t\tscissor: {\r\n\t\t\tenable: true,\r\n\t\t\tbox: regl.prop('viewport')\r\n\t\t},\r\n\t\tviewport: regl.prop('viewport'),\r\n\r\n\t\tstencil: {enable: false},\r\n\t\tdepth: {enable: false},\r\n\r\n\t\telements: regl.prop('elements'),\r\n\t\tcount: regl.prop('count'),\r\n\t\toffset: regl.prop('offset'),\r\n\r\n\t\tprimitive: 'points'\r\n\t}\r\n\r\n\t// draw sdf-marker\r\n\tvar markerOptions = extend({}, shaderOptions)\r\n\tmarkerOptions.frag = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float pixelRatio, opacity;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"])\r\n\tmarkerOptions.vert = glslify([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius,\\n    fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nvec2 paletteCoord(float id) {\\n  return vec2(\\n    (mod(id, paletteSize.x) + .5) / paletteSize.x,\\n    (floor(id / paletteSize.x) + .5) / paletteSize.y\\n  );\\n}\\nvec2 paletteCoord(vec2 id) {\\n  return vec2(\\n    (id.x + .5) / paletteSize.x,\\n    (id.y + .5) / paletteSize.y\\n  );\\n}\\nvec4 getColor(vec4 id) {\\n  // zero-palette means we deal with direct buffer\\n  if (paletteSize.x == 0.) return id / 255.;\\n  return texture2D(palette, paletteCoord(id.xy));\\n}\\n\\nvoid main() {\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pixelRatio;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"])\r\n\r\n\tthis.drawMarker = regl(markerOptions)\r\n\r\n\t// draw circle\r\n\tvar circleOptions = extend({}, shaderOptions)\r\n\tcircleOptions.frag = glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"])\r\n\tcircleOptions.vert = glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nvec2 paletteCoord(float id) {\\n  return vec2(\\n    (mod(id, paletteSize.x) + .5) / paletteSize.x,\\n    (floor(id / paletteSize.x) + .5) / paletteSize.y\\n  );\\n}\\nvec2 paletteCoord(vec2 id) {\\n  return vec2(\\n    (id.x + .5) / paletteSize.x,\\n    (id.y + .5) / paletteSize.y\\n  );\\n}\\n\\nvec4 getColor(vec4 id) {\\n  // zero-palette means we deal with direct buffer\\n  if (paletteSize.x == 0.) return id / 255.;\\n  return texture2D(palette, paletteCoord(id.xy));\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"])\r\n\r\n\t// polyfill IE\r\n\tif (ie) {\r\n\t\tcircleOptions.frag = circleOptions.frag.replace('smoothstep', 'smoothStep')\r\n\t\tmarkerOptions.frag = markerOptions.frag.replace('smoothstep', 'smoothStep')\r\n\t}\r\n\r\n\tthis.drawCircle = regl(circleOptions)\r\n}\r\n\r\n// single pass defaults\r\nScatter.defaults = {\r\n\tcolor: 'black',\r\n\tborderColor: 'transparent',\r\n\tborderSize: 0,\r\n\tsize: 12,\r\n\topacity: 1,\r\n\tmarker: undefined,\r\n\tviewport: null,\r\n\trange: null,\r\n\tpixelSize: null,\r\n\tcount: 0,\r\n\toffset: 0,\r\n\tbounds: null,\r\n\tpositions: [],\r\n\tsnap: 1e4\r\n}\r\n\r\n\r\n// update & redraw\r\nScatter.prototype.render = function () {\n\tvar ref;\n\n\tvar args = [], len = arguments.length;\n\twhile ( len-- ) args[ len ] = arguments[ len ];\r\n\tif (args.length) {\r\n\t\t(ref = this).update.apply(ref, args)\r\n\t}\r\n\r\n\tthis.draw()\r\n\r\n\treturn this\r\n}\r\n\r\n\r\n// draw all groups or only indicated ones\r\nScatter.prototype.draw = function () {\n\tvar this$1 = this;\n\tvar args = [], len = arguments.length;\n\twhile ( len-- ) args[ len ] = arguments[ len ];\n\r\n\tvar ref = this;\n\tvar groups = ref.groups;\r\n\r\n\t// if directly array passed - treat as passes\r\n\tif (args.length === 1 && Array.isArray(args[0])  && (args[0][0] === null || Array.isArray(args[0][0]))) {\r\n\t\targs = args[0]\r\n\t}\r\n\r\n\t// FIXME: remove once https://github.com/regl-project/regl/issues/474 resolved\r\n\tthis.regl._refresh()\r\n\r\n\tif (args.length) {\r\n\t\tfor (var i = 0; i < args.length; i++) {\r\n\t\t\tthis$1.drawItem(i, args[i])\r\n\t\t}\r\n\t}\r\n\t// draw all passes\r\n\telse {\r\n\t\tgroups.forEach(function (group, i) {\r\n\t\t\tthis$1.drawItem(i)\r\n\t\t})\r\n\t}\r\n\r\n\treturn this\r\n}\r\n\r\n// draw specific scatter group\r\nScatter.prototype.drawItem = function (id, els) {\n\tvar this$1 = this;\n\r\n\tvar ref = this;\n\tvar groups = ref.groups;\r\n\tvar group = groups[id]\r\n\r\n\t// debug viewport\r\n\t// let { viewport } = group\r\n\t// gl.enable(gl.SCISSOR_TEST);\r\n\t// gl.scissor(viewport.x, viewport.y, viewport.width, viewport.height);\r\n\t// gl.clearColor(0, 0, 0, .5);\r\n\t// gl.clear(gl.COLOR_BUFFER_BIT);\r\n\r\n\tif (typeof els === 'number') {\r\n\t\tid = els\r\n\t\tgroup = groups[els]\r\n\t\tels = null\r\n\t}\r\n\r\n\tif (!(group && group.count && group.opacity)) { return }\r\n\r\n\t// draw circles\r\n\tif (group.activation[0]) {\r\n\t\t// TODO: optimize this performance by making groups and regl.this props\r\n\t\tthis.drawCircle(this.getMarkerDrawOptions(0, group, els))\r\n\t}\r\n\r\n\t// draw all other available markers\r\n\tvar batch = []\r\n\r\n\tfor (var i = 1; i < group.activation.length; i++) {\r\n\t\tif (!group.activation[i] || (group.activation[i] !== true && !group.activation[i].data.length)) { continue }\r\n\r\n\t\tbatch.push.apply(batch, this$1.getMarkerDrawOptions(i, group, els))\r\n\t}\r\n\r\n\tif (batch.length) {\r\n\t\tthis.drawMarker(batch)\r\n\t}\r\n}\r\n\r\n// get options for the marker ids\r\nScatter.prototype.getMarkerDrawOptions = function(markerId, group, elements) {\n\tvar this$1 = this;\n\r\n\tvar range = group.range;\n\tvar tree = group.tree;\n\tvar viewport = group.viewport;\n\tvar activation = group.activation;\n\tvar selectionBuffer = group.selectionBuffer;\n\tvar count = group.count;\r\n\tvar ref = this;\n\tvar regl = ref.regl;\r\n\r\n\t// direct points\r\n\tif (!tree) {\r\n\t\t// if elements array - draw unclustered points\r\n\t\tif (elements) {\r\n\t\t\treturn [extend({}, group, {\r\n\t\t\t\tmarkerTexture: this.markerTextures[markerId],\r\n\t\t\t\tactivation: activation[markerId],\r\n\t\t\t\tcount: elements.length,\r\n\t\t\t\telements: elements,\r\n\t\t\t\toffset: 0\r\n\t\t\t})]\r\n\t\t}\r\n\r\n\t\treturn [ extend({}, group, {\r\n\t\t\tmarkerTexture: this.markerTextures[markerId],\r\n\t\t\tactivation: activation[markerId],\r\n\t\t\toffset: 0\r\n\t\t}) ]\r\n\t}\r\n\r\n\t// clustered points\r\n\tvar batch = []\r\n\r\n\tvar lod = tree.range(range, { lod: true, px: [\r\n\t\t(range[2] - range[0]) / viewport.width,\r\n\t\t(range[3] - range[1]) / viewport.height\r\n\t]})\r\n\r\n\t// enable elements by using selection buffer\r\n\tif (elements) {\r\n\t\tvar markerActivation = activation[markerId]\r\n\t\tvar mask = markerActivation.data\r\n\t\tvar data = new Uint8Array(count)\r\n\t\tfor (var i = 0; i < elements.length; i++) {\r\n\t\t\tvar id = elements[i]\r\n\t\t\tdata[id] = mask ? mask[id] : 1\r\n\t\t}\r\n\t\tselectionBuffer.subdata(data)\r\n\t}\r\n\r\n\tfor (var l = lod.length; l--;) {\r\n\t\tvar ref$1 = lod[l];\n\t\tvar from = ref$1[0];\n\t\tvar to = ref$1[1];\r\n\r\n\t\tbatch.push(extend({}, group, {\r\n\t\t\tmarkerTexture: this$1.markerTextures[markerId],\r\n\t\t\tactivation: elements ? selectionBuffer : activation[markerId],\r\n\t\t\toffset: from,\r\n\t\t\tcount: to - from\r\n\t\t}))\r\n\t}\r\n\r\n\treturn batch\r\n}\r\n\r\n// update groups options\r\nScatter.prototype.update = function () {\n\tvar this$1 = this;\n\tvar args = [], len = arguments.length;\n\twhile ( len-- ) args[ len ] = arguments[ len ];\n\r\n\tif (!args.length) { return }\r\n\r\n\t// passes are as single array\r\n\tif (args.length === 1 && Array.isArray(args[0])) { args = args[0] }\r\n\r\n\tvar ref = this;\n\tvar groups = ref.groups;\n\tvar gl = ref.gl;\n\tvar regl = ref.regl;\n\tvar maxSize = ref.maxSize;\n\tvar maxColors = ref.maxColors;\n\tvar palette = ref.palette;\r\n\r\n\tthis.groups = groups = args.map(function (options, i) {\r\n\t\tvar group = groups[i]\r\n\r\n\t\tif (options === undefined) { return group }\r\n\r\n\t\tif (options === null) { options = { positions: null } }\r\n\t\telse if (typeof options === 'function') { options = { ondraw: options } }\r\n\t\telse if (typeof options[0] === 'number') { options = { positions: options } }\r\n\r\n\t\t// copy options to avoid mutation & handle aliases\r\n\t\toptions = pick(options, {\r\n\t\t\tpositions: 'positions data points',\r\n\t\t\tsnap: 'snap cluster lod tree',\r\n\t\t\tsize: 'sizes size radius',\r\n\t\t\tborderSize: 'borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline',\r\n\t\t\tcolor: 'colors color fill fill-color fillColor',\r\n\t\t\tborderColor: 'borderColors borderColor stroke stroke-color strokeColor',\r\n\t\t\tmarker: 'markers marker shape',\r\n\t\t\trange: 'range dataBox databox',\r\n\t\t\tviewport: 'viewport viewPort viewBox viewbox',\r\n\t\t\topacity: 'opacity alpha transparency',\r\n\t\t\tbounds: 'bound bounds boundaries limits'\r\n\t\t})\r\n\r\n\t\tif (options.positions === null) { options.positions = [] }\r\n\r\n\t\tif (!group) {\r\n\t\t\tgroups[i] = group = {\r\n\t\t\t\tid: i,\r\n\t\t\t\tscale: null,\r\n\t\t\t\ttranslate: null,\r\n\t\t\t\tscaleFract: null,\r\n\t\t\t\ttranslateFract: null,\r\n\r\n\t\t\t\t// buffers for active markers\r\n\t\t\t\tactivation: [],\r\n\r\n\t\t\t\t// buffer for filtered markers\r\n\t\t\t\tselectionBuffer: regl.buffer({\r\n\t\t\t\t\tdata: new Uint8Array(0),\r\n\t\t\t\t\tusage: 'stream',\r\n\t\t\t\t\ttype: 'uint8'\r\n\t\t\t\t}),\r\n\r\n\t\t\t\t// buffers with data: it is faster to switch them per-pass\r\n\t\t\t\t// than provide one congregate buffer\r\n\t\t\t\tsizeBuffer: regl.buffer({\r\n\t\t\t\t\tdata: new Uint8Array(0),\r\n\t\t\t\t\tusage: 'dynamic',\r\n\t\t\t\t\ttype: 'uint8'\r\n\t\t\t\t}),\r\n\t\t\t\tcolorBuffer: regl.buffer({\r\n\t\t\t\t\tdata: new Uint8Array(0),\r\n\t\t\t\t\tusage: 'dynamic',\r\n\t\t\t\t\ttype: 'uint8'\r\n\t\t\t\t}),\r\n\t\t\t\tpositionBuffer: regl.buffer({\r\n\t\t\t\t\tdata: new Uint8Array(0),\r\n\t\t\t\t\tusage: 'dynamic',\r\n\t\t\t\t\ttype: 'float'\r\n\t\t\t\t}),\r\n\t\t\t\tpositionFractBuffer: regl.buffer({\r\n\t\t\t\t\tdata: new Uint8Array(0),\r\n\t\t\t\t\tusage: 'dynamic',\r\n\t\t\t\t\ttype: 'float'\r\n\t\t\t\t})\r\n\t\t\t}\r\n\t\t\toptions = extend({}, Scatter.defaults, options)\r\n\t\t}\r\n\r\n\t\t// force update triggers\r\n\t\tif (options.positions && !('marker' in options)) {\r\n\t\t\toptions.marker = group.marker\r\n\t\t\tdelete group.marker\r\n\t\t}\r\n\r\n\t\t// updating markers cause recalculating snapping\r\n\t\tif (options.marker && !('positions' in options)) {\r\n\t\t\toptions.positions = group.positions\r\n\t\t\tdelete group.positions\r\n\t\t}\r\n\r\n\t\t// global count of points\r\n\t\tvar hasSize = 0, hasColor = 0\r\n\r\n\t\tupdateDiff(group, options, [{\r\n\t\t\tsnap: true,\r\n\t\t\tsize: function (s, group) {\r\n\t\t\t\tif (s == null) { s = Scatter.defaults.size }\r\n\t\t\t\thasSize += s && s.length ? 1 : 0\r\n\t\t\t\treturn s\r\n\t\t\t},\r\n\t\t\tborderSize: function (s, group) {\r\n\t\t\t\tif (s == null) { s = Scatter.defaults.borderSize }\r\n\t\t\t\thasSize += s && s.length ? 1 : 0\r\n\t\t\t\treturn s\r\n\t\t\t},\r\n\t\t\topacity: parseFloat,\r\n\r\n\t\t\t// add colors to palette, save references\r\n\t\t\tcolor: function (c, group) {\r\n\t\t\t\tif (c == null) { c = Scatter.defaults.color }\r\n\t\t\t\tc = this$1.updateColor(c)\r\n\t\t\t\thasColor++\r\n\t\t\t\treturn c\r\n\t\t\t},\r\n\t\t\tborderColor: function (c, group) {\r\n\t\t\t\tif (c == null) { c = Scatter.defaults.borderColor }\r\n\t\t\t\tc = this$1.updateColor(c)\r\n\t\t\t\thasColor++\r\n\t\t\t\treturn c\r\n\t\t\t},\r\n\r\n\t\t\tbounds: function (bounds, group, options) {\r\n\t\t\t\tif (!('range' in options)) { options.range = null }\r\n\t\t\t\treturn bounds\r\n\t\t\t},\r\n\r\n\t\t\tpositions: function (positions, group, options) {\r\n\t\t\t\tvar snap = group.snap;\r\n\t\t\t\tvar positionBuffer = group.positionBuffer;\n\t\t\t\tvar positionFractBuffer = group.positionFractBuffer;\n\t\t\t\tvar selectionBuffer = group.selectionBuffer;\r\n\r\n\t\t\t\t// separate buffers for x/y coordinates\r\n\t\t\t\tif (positions.x || positions.y) {\r\n\t\t\t\t\tif (positions.x.length) {\r\n\t\t\t\t\t\tgroup.xAttr = {\r\n\t\t\t\t\t\t\tbuffer: regl.buffer(positions.x),\r\n\t\t\t\t\t\t\toffset: 0,\r\n\t\t\t\t\t\t\tstride: 4,\r\n\t\t\t\t\t\t\tcount: positions.x.length\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\telse {\r\n\t\t\t\t\t\tgroup.xAttr = {\r\n\t\t\t\t\t\t\tbuffer: positions.x.buffer,\r\n\t\t\t\t\t\t\toffset: positions.x.offset * 4 || 0,\r\n\t\t\t\t\t\t\tstride: (positions.x.stride || 1) * 4,\r\n\t\t\t\t\t\t\tcount: positions.x.count\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (positions.y.length) {\r\n\t\t\t\t\t\tgroup.yAttr = {\r\n\t\t\t\t\t\t\tbuffer: regl.buffer(positions.y),\r\n\t\t\t\t\t\t\toffset: 0,\r\n\t\t\t\t\t\t\tstride: 4,\r\n\t\t\t\t\t\t\tcount: positions.y.length\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\telse {\r\n\t\t\t\t\t\tgroup.yAttr = {\r\n\t\t\t\t\t\t\tbuffer: positions.y.buffer,\r\n\t\t\t\t\t\t\toffset: positions.y.offset * 4 || 0,\r\n\t\t\t\t\t\t\tstride: (positions.y.stride || 1) * 4,\r\n\t\t\t\t\t\t\tcount: positions.y.count\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\tgroup.count = Math.max(group.xAttr.count, group.yAttr.count)\r\n\r\n\t\t\t\t\treturn positions\r\n\t\t\t\t}\r\n\r\n\t\t\t\tpositions = flatten(positions, 'float64')\r\n\r\n\t\t\t\tvar count = group.count = Math.floor(positions.length / 2)\r\n\t\t\t\tvar bounds = group.bounds = count ? getBounds(positions, 2) : null\r\n\r\n\t\t\t\t// if range is not provided updated - recalc it\r\n\t\t\t\tif (!options.range && !group.range) {\r\n\t\t\t\t\tdelete group.range\r\n\t\t\t\t\toptions.range = bounds\r\n\t\t\t\t}\r\n\r\n\t\t\t\t// reset marker\r\n\t\t\t\tif (!options.marker && !group.marker) {\r\n\t\t\t\t\tdelete group.marker;\r\n\t\t\t\t\toptions.marker = null;\r\n\t\t\t\t}\r\n\r\n\t\t\t\t// build cluster tree if required\r\n\t\t\t\tif (snap && (snap === true || count > snap)) {\r\n\t\t\t\t\tgroup.tree = cluster(positions, { bounds: bounds })\r\n\t\t\t\t}\r\n\t\t\t\t// existing tree instance\r\n\t\t\t\telse if (snap && snap.length) {\r\n\t\t\t\t\tgroup.tree = snap\r\n\t\t\t\t}\r\n\r\n\t\t\t\tif (group.tree) {\r\n\t\t\t\t\tvar opts = {\r\n\t\t\t\t\t\tprimitive: 'points',\r\n\t\t\t\t\t\tusage: 'static',\r\n\t\t\t\t\t\tdata: group.tree,\r\n\t\t\t\t\t\ttype: 'uint32'\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (group.elements) { group.elements(opts) }\r\n\t\t\t\t\telse { group.elements = regl.elements(opts) }\r\n\t\t\t\t}\r\n\r\n\t\t\t\t// update position buffers\r\n\t\t\t\tpositionBuffer({\r\n\t\t\t\t\tdata: f32.float(positions),\r\n\t\t\t\t\tusage: 'dynamic'\r\n\t\t\t\t})\r\n\t\t\t\tpositionFractBuffer({\r\n\t\t\t\t\tdata: f32.fract(positions),\r\n\t\t\t\t\tusage: 'dynamic'\r\n\t\t\t\t})\r\n\r\n\t\t\t\t// expand selectionBuffer\r\n\t\t\t\tselectionBuffer({\r\n\t\t\t\t\tdata: new Uint8Array(count),\r\n\t\t\t\t\ttype: 'uint8',\r\n\t\t\t\t\tusage: 'stream'\r\n\t\t\t\t})\r\n\r\n\t\t\t\treturn positions\r\n\t\t\t}\r\n\t\t}, {\r\n\t\t\t// create marker ids corresponding to known marker textures\r\n\t\t\tmarker: function (markers, group, options) {\r\n\t\t\t\tvar activation = group.activation;\r\n\r\n\t\t\t\t// reset marker elements\r\n\t\t\t\tactivation.forEach(function (buffer) { return buffer && buffer.destroy && buffer.destroy(); })\r\n\t\t\t\tactivation.length = 0\r\n\r\n\t\t\t\t// single sdf marker\r\n\t\t\t\tif (!markers || typeof markers[0] === 'number') {\r\n\t\t\t\t\tvar id = this$1.addMarker(markers)\r\n\t\t\t\t\tactivation[id] = true\r\n\t\t\t\t}\r\n\r\n\t\t\t\t// per-point markers use mask buffers to enable markers in vert shader\r\n\t\t\t\telse {\r\n\t\t\t\t\tvar markerMasks = []\r\n\r\n\t\t\t\t\tfor (var i = 0, l = Math.min(markers.length, group.count); i < l; i++) {\r\n\t\t\t\t\t\tvar id$1 = this$1.addMarker(markers[i])\r\n\r\n\t\t\t\t\t\tif (!markerMasks[id$1]) { markerMasks[id$1] = new Uint8Array(group.count) }\r\n\r\n\t\t\t\t\t\t// enable marker by default\r\n\t\t\t\t\t\tmarkerMasks[id$1][i] = 1\r\n\t\t\t\t\t}\r\n\r\n\t\t\t\t\tfor (var id$2 = 0; id$2 < markerMasks.length; id$2++) {\r\n\t\t\t\t\t\tif (!markerMasks[id$2]) { continue }\r\n\r\n\t\t\t\t\t\tvar opts = {\r\n\t\t\t\t\t\t\tdata: markerMasks[id$2],\r\n\t\t\t\t\t\t\ttype: 'uint8',\r\n\t\t\t\t\t\t\tusage: 'static'\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t\tif (!activation[id$2]) {\r\n\t\t\t\t\t\t\tactivation[id$2] = regl.buffer(opts)\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t\telse {\r\n\t\t\t\t\t\t\tactivation[id$2](opts)\r\n\t\t\t\t\t\t}\r\n\r\n\t\t\t\t\t\tactivation[id$2].data = markerMasks[id$2]\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\r\n\t\t\t\treturn markers\r\n\t\t\t},\r\n\r\n\t\t\trange: function (range, group, options) {\r\n\t\t\t\tvar bounds = group.bounds\r\n\r\n\t\t\t\t// FIXME: why do we need this?\r\n\t\t\t\tif (!bounds) { return }\r\n\t\t\t\tif (!range) { range = bounds }\r\n\r\n\t\t\t\tgroup.scale = [1 / (range[2] - range[0]), 1 / (range[3] - range[1])]\r\n\t\t\t\tgroup.translate = [-range[0], -range[1]]\r\n\r\n\t\t\t\tgroup.scaleFract = f32.fract(group.scale)\r\n\t\t\t\tgroup.translateFract = f32.fract(group.translate)\r\n\r\n\t\t\t\treturn range\r\n\t\t\t},\r\n\r\n\t\t\tviewport: function (vp) {\r\n\t\t\t\tvar rect = parseRect(vp || [\r\n\t\t\t\t\tgl.drawingBufferWidth,\r\n\t\t\t\t\tgl.drawingBufferHeight\r\n\t\t\t\t])\r\n\r\n\t\t\t\t// normalize viewport to the canvas coordinates\r\n\t\t\t\t// rect.y = gl.drawingBufferHeight - rect.height - rect.y\r\n\r\n\t\t\t\treturn rect\r\n\t\t\t}\r\n\t\t}])\r\n\r\n\t\t// update size buffer, if needed\r\n\t\tif (hasSize) {\r\n\t\t\tvar count = group.count;\n\t\t\tvar size = group.size;\n\t\t\tvar borderSize = group.borderSize;\n\t\t\tvar sizeBuffer = group.sizeBuffer;\r\n\r\n\t\t\tvar sizes = new Uint8Array(count*2)\r\n\t\t\tif (size.length || borderSize.length) {\r\n\t\t\t\tfor (var i$1 = 0; i$1 < count; i$1++) {\r\n\t\t\t\t\t// we downscale size to allow for fractions\r\n\t\t\t\t\tsizes[i$1*2] = Math.round((size[i$1] == null ? size : size[i$1]) * 255 / maxSize)\r\n\t\t\t\t\tsizes[i$1*2 + 1] = Math.round((borderSize[i$1] == null ? borderSize : borderSize[i$1]) * 255 / maxSize)\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tsizeBuffer({\r\n\t\t\t\tdata: sizes,\r\n\t\t\t\tusage: 'dynamic'\r\n\t\t\t})\r\n\t\t}\r\n\r\n\t\t// update color buffer if needed\r\n\t\tif (hasColor) {\r\n\t\t\tvar count$1 = group.count;\n\t\t\tvar color = group.color;\n\t\t\tvar borderColor = group.borderColor;\n\t\t\tvar colorBuffer = group.colorBuffer;\r\n\t\t\tvar colors\r\n\r\n\t\t\t// if too many colors - put colors to buffer directly\r\n\t\t\tif (this$1.tooManyColors) {\r\n\t\t\t\tif (color.length || borderColor.length) {\r\n\t\t\t\t\tcolors = new Uint8Array(count$1 * 8)\r\n\t\t\t\t\tfor (var i$2 = 0; i$2 < count$1; i$2++) {\r\n\t\t\t\t\t\tvar colorId = color[i$2]\r\n\t\t\t\t\t\tcolors[i$2*8] = palette[colorId*4]\r\n\t\t\t\t\t\tcolors[i$2*8 + 1] = palette[colorId*4 + 1]\r\n\t\t\t\t\t\tcolors[i$2*8 + 2] = palette[colorId*4 + 2]\r\n\t\t\t\t\t\tcolors[i$2*8 + 3] = palette[colorId*4 + 3]\r\n\r\n\t\t\t\t\t\tvar borderColorId = borderColor[i$2]\r\n\t\t\t\t\t\tcolors[i$2*8 + 4] = palette[borderColorId*4]\r\n\t\t\t\t\t\tcolors[i$2*8 + 5] = palette[borderColorId*4 + 1]\r\n\t\t\t\t\t\tcolors[i$2*8 + 6] = palette[borderColorId*4 + 2]\r\n\t\t\t\t\t\tcolors[i$2*8 + 7] = palette[borderColorId*4 + 3]\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\r\n\t\t\t// if limited amount of colors - keep palette color picking\r\n\t\t\t// that saves significant memory\r\n\t\t\telse {\r\n\t\t\t\tif (color.length || borderColor.length) {\r\n\t\t\t\t\t// we need slight data increase by 2 due to vec4 borderId in shader\r\n\t\t\t\t\tcolors = new Uint8Array(count$1 * 4 + 2)\r\n\t\t\t\t\tfor (var i$3 = 0; i$3 < count$1; i$3++) {\r\n\t\t\t\t\t\t// put color coords in palette texture\r\n\t\t\t\t\t\tif (color[i$3] != null) {\r\n\t\t\t\t\t\t\tcolors[i$3*4] = color[i$3] % maxColors\r\n\t\t\t\t\t\t\tcolors[i$3*4 + 1] = Math.floor(color[i$3] / maxColors)\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t\tif (borderColor[i$3] != null) {\r\n\t\t\t\t\t\t\tcolors[i$3*4 + 2] = borderColor[i$3] % maxColors\r\n\t\t\t\t\t\t\tcolors[i$3*4 + 3] = Math.floor(borderColor[i$3] / maxColors)\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\r\n\t\t\tcolorBuffer({\r\n\t\t\t\tdata: colors || new Uint8Array(0),\r\n\t\t\t\ttype: 'uint8',\r\n\t\t\t\tusage: 'dynamic'\r\n\t\t\t})\r\n\t\t}\r\n\r\n\t\treturn group\r\n\t})\r\n}\r\n\r\n\r\n// get (and create) marker texture id\r\nScatter.prototype.addMarker = function (sdf) {\r\n\tvar ref = this;\n\tvar markerTextures = ref.markerTextures;\n\tvar regl = ref.regl;\n\tvar markerCache = ref.markerCache;\r\n\r\n\tvar pos = sdf == null ? 0 : markerCache.indexOf(sdf)\r\n\r\n\tif (pos >= 0) { return pos }\r\n\r\n\t// convert sdf to 0..255 range\r\n\tvar distArr\r\n\tif (sdf instanceof Uint8Array || sdf instanceof Uint8ClampedArray) {\r\n\t\tdistArr = sdf\r\n\t}\r\n\telse {\r\n\t\tdistArr = new Uint8Array(sdf.length)\r\n\t\tfor (var i = 0, l = sdf.length; i < l; i++) {\r\n\t\t\tdistArr[i] = sdf[i] * 255\r\n\t\t}\r\n\t}\r\n\r\n\tvar radius = Math.floor(Math.sqrt(distArr.length))\r\n\r\n\tpos = markerTextures.length\r\n\r\n\tmarkerCache.push(sdf)\r\n\tmarkerTextures.push(regl.texture({\r\n\t\tchannels: 1,\r\n\t\tdata: distArr,\r\n\t\tradius: radius,\r\n\t\tmag: 'linear',\r\n\t\tmin: 'linear'\r\n\t}))\r\n\r\n\treturn pos\r\n}\r\n\r\n// register color to palette, return it's index or list of indexes\r\nScatter.prototype.updateColor = function (colors) {\r\n\tvar ref = this;\n\tvar paletteIds = ref.paletteIds;\n\tvar palette = ref.palette;\n\tvar maxColors = ref.maxColors;\r\n\r\n\tif (!Array.isArray(colors)) {\r\n\t\tcolors = [colors]\r\n\t}\r\n\r\n\tvar idx = []\r\n\r\n\t// if color groups - flatten them\r\n\tif (typeof colors[0] === 'number') {\r\n\t\tvar grouped = []\r\n\r\n\t\tif (Array.isArray(colors)) {\r\n\t\t\tfor (var i = 0; i < colors.length; i+=4) {\r\n\t\t\t\tgrouped.push(colors.slice(i, i+4))\r\n\t\t\t}\r\n\t\t}\r\n\t\telse {\r\n\t\t\tfor (var i$1 = 0; i$1 < colors.length; i$1+=4) {\r\n\t\t\t\tgrouped.push(colors.subarray(i$1, i$1+4))\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\tcolors = grouped\r\n\t}\r\n\r\n\tfor (var i$2 = 0; i$2 < colors.length; i$2++) {\r\n\t\tvar color = colors[i$2]\r\n\r\n\t\tcolor = rgba(color, 'uint8')\r\n\r\n\t\tvar id = colorId(color, false)\r\n\r\n\t\t// if new color - save it\r\n\t\tif (paletteIds[id] == null) {\r\n\t\t\tvar pos = palette.length\r\n\t\t\tpaletteIds[id] = Math.floor(pos / 4)\r\n\t\t\tpalette[pos] = color[0]\r\n\t\t\tpalette[pos+1] = color[1]\r\n\t\t\tpalette[pos+2] = color[2]\r\n\t\t\tpalette[pos+3] = color[3]\r\n\t\t}\r\n\r\n\t\tidx[i$2] = paletteIds[id]\r\n\t}\r\n\r\n\t// detect if too many colors in palette\r\n\tif (!this.tooManyColors && palette.length > maxColors * maxColors * 4) { this.tooManyColors = true }\r\n\r\n\t// limit max color\r\n\tthis.updatePalette(palette)\r\n\r\n\t// keep static index for single-color property\r\n\treturn idx.length === 1 ? idx[0] : idx\r\n}\r\n\r\nScatter.prototype.updatePalette = function (palette) {\r\n\tif (this.tooManyColors) { return }\r\n\r\n\tvar ref = this;\n\tvar maxColors = ref.maxColors;\n\tvar paletteTexture = ref.paletteTexture;\r\n\r\n\tvar requiredHeight = Math.ceil(palette.length * .25 / maxColors)\r\n\r\n\t// pad data\r\n\tif (requiredHeight > 1) {\r\n\t\tpalette = palette.slice()\r\n\t\tfor (var i = (palette.length * .25) % maxColors; i < requiredHeight * maxColors; i++) {\r\n\t\t\tpalette.push(0, 0, 0, 0)\r\n\t\t}\r\n\t}\r\n\r\n\t// ensure height\r\n\tif (paletteTexture.height < requiredHeight) {\r\n\t\tpaletteTexture.resize(maxColors, requiredHeight)\r\n\t}\r\n\r\n\t// update full data\r\n\tpaletteTexture.subimage({\r\n\t\twidth: Math.min(palette.length * .25, maxColors),\r\n\t\theight: requiredHeight,\r\n\t\tdata: palette\r\n\t}, 0, 0)\r\n}\r\n\r\n// remove unused stuff\r\nScatter.prototype.destroy = function () {\r\n\tthis.groups.forEach(function (group) {\r\n\t\tgroup.sizeBuffer.destroy()\r\n\t\tgroup.positionBuffer.destroy()\r\n\t\tgroup.positionFractBuffer.destroy()\r\n\t\tgroup.colorBuffer.destroy()\r\n\t\tgroup.activation.forEach(function (b) { return b && b.destroy && b.destroy(); })\r\n\t\tgroup.selectionBuffer.destroy()\r\n\r\n\t\tif (group.elements) { group.elements.destroy() }\r\n\t})\r\n\tthis.groups.length = 0\r\n\r\n\tthis.paletteTexture.destroy()\r\n\r\n\tthis.markerTextures.forEach(function (txt) { return txt && txt.destroy && txt.destroy(); })\r\n\r\n\treturn this\r\n}\r\n},{\"array-bounds\":53,\"color-id\":106,\"color-normalize\":108,\"flatten-vertex-data\":216,\"glslify\":392,\"is-iexplorer\":402,\"object-assign\":437,\"parse-rect\":442,\"pick-by-alias\":448,\"point-cluster\":452,\"to-float32\":515,\"update-diff\":526}],477:[function(_dereq_,module,exports){\n'use strict'\n\n\nvar createScatter = _dereq_('regl-scatter2d/scatter')\nvar pick = _dereq_('pick-by-alias')\nvar getBounds = _dereq_('array-bounds')\nvar raf = _dereq_('raf')\nvar arrRange = _dereq_('array-range')\nvar rect = _dereq_('parse-rect')\nvar flatten = _dereq_('flatten-vertex-data')\n\n\nmodule.exports = SPLOM\n\n\n// @constructor\nfunction SPLOM (regl, options) {\n\tif (!(this instanceof SPLOM)) { return new SPLOM(regl, options) }\n\n\t// render passes\n\tthis.traces = []\n\n\t// passes for scatter, combined across traces\n\tthis.passes = {}\n\n\tthis.regl = regl\n\n\t// main scatter drawing instance\n\tthis.scatter = createScatter(regl)\n\n\tthis.canvas = this.scatter.canvas\n}\n\n\n// update & draw passes once per frame\nSPLOM.prototype.render = function () {\n\tvar this$1 = this;\n\tvar ref;\n\n\tvar args = [], len = arguments.length;\n\twhile ( len-- ) args[ len ] = arguments[ len ];\n\tif (args.length) {\n\t\t(ref = this).update.apply(ref, args)\n\t}\n\n\tif (this.regl.attributes.preserveDrawingBuffer) { return this.draw() }\n\n\t// make sure draw is not called more often than once a frame\n\tif (this.dirty) {\n\t\tif (this.planned == null) {\n\t\t\tthis.planned = raf(function () {\n\t\t\t\tthis$1.draw()\n\t\t\t\tthis$1.dirty = true\n\t\t\t\tthis$1.planned = null\n\t\t\t})\n\t\t}\n\t}\n\telse {\n\t\tthis.draw()\n\t\tthis.dirty = true\n\t\traf(function () {\n\t\t\tthis$1.dirty = false\n\t\t})\n\t}\n\n\treturn this\n}\n\n\n// update passes\nSPLOM.prototype.update = function () {\n\tvar this$1 = this;\n\tvar ref;\n\n\tvar args = [], len = arguments.length;\n\twhile ( len-- ) args[ len ] = arguments[ len ];\n\tif (!args.length) { return }\n\n\tfor (var i = 0; i < args.length; i++) {\n\t\tthis$1.updateItem(i, args[i])\n\t}\n\n\t// remove nulled passes\n\tthis.traces = this.traces.filter(Boolean)\n\n\t// FIXME: update passes independently\n\tvar passes = []\n\tvar offset = 0\n\tfor (var i$1 = 0; i$1 < this.traces.length; i$1++) {\n\t\tvar trace = this$1.traces[i$1]\n\t\tvar tracePasses = this$1.traces[i$1].passes\n\t\tfor (var j = 0; j < tracePasses.length; j++) {\n\t\t\tpasses.push(this$1.passes[tracePasses[j]])\n\t\t}\n\t\t// save offset of passes\n\t\ttrace.passOffset = offset\n\t\toffset += trace.passes.length\n\t}\n\n\t(ref = this.scatter).update.apply(ref, passes)\n\n\treturn this\n}\n\n\n// update trace by index, not supposed to be called directly\nSPLOM.prototype.updateItem = function (i, options) {\n\tvar this$1 = this;\n\n\tvar ref = this;\n\tvar regl = ref.regl;\n\n\t// remove pass if null\n\tif (options === null) {\n\t\tthis.traces[i] = null\n\t\treturn this\n\t}\n\n\tif (!options) { return this }\n\n\tvar o = pick(options, {\n\t\tdata: 'data items columns rows values dimensions samples x',\n\t\tsnap: 'snap cluster',\n\t\tsize: 'sizes size radius',\n\t\tcolor: 'colors color fill fill-color fillColor',\n\t\topacity: 'opacity alpha transparency opaque',\n\t\tborderSize: 'borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline',\n\t\tborderColor: 'borderColors borderColor bordercolor stroke stroke-color strokeColor',\n\t\tmarker: 'markers marker shape',\n\t\trange: 'range ranges databox dataBox',\n\t\tviewport: 'viewport viewBox viewbox',\n\t\tdomain: 'domain domains area areas',\n\t\tpadding: 'pad padding paddings pads margin margins',\n\t\ttranspose: 'transpose transposed',\n\t\tdiagonal: 'diagonal diag showDiagonal',\n\t\tupper: 'upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf',\n\t\tlower: 'lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower'\n\t})\n\n\t// we provide regl buffer per-trace, since trace data can be changed\n\tvar trace = (this.traces[i] || (this.traces[i] = {\n\t\tid: i,\n\t\tbuffer: regl.buffer({\n\t\t\tusage: 'dynamic',\n\t\t\ttype: 'float',\n\t\t\tdata: new Uint8Array()\n\t\t}),\n\t\tcolor: 'black',\n\t\tmarker: null,\n\t\tsize: 12,\n\t\tborderColor: 'transparent',\n\t\tborderSize: 1,\n\t\tviewport:  rect([regl._gl.drawingBufferWidth, regl._gl.drawingBufferHeight]),\n\t\tpadding: [0, 0, 0, 0],\n\t\topacity: 1,\n\t\tdiagonal: true,\n\t\tupper: true,\n\t\tlower: true\n\t}))\n\n\n\t// save styles\n\tif (o.color != null) {\n\t\ttrace.color = o.color\n\t}\n\tif (o.size != null) {\n\t\ttrace.size = o.size\n\t}\n\tif (o.marker != null) {\n\t\ttrace.marker = o.marker\n\t}\n\tif (o.borderColor != null) {\n\t\ttrace.borderColor = o.borderColor\n\t}\n\tif (o.borderSize != null) {\n\t\ttrace.borderSize = o.borderSize\n\t}\n\tif (o.opacity != null) {\n\t\ttrace.opacity = o.opacity\n\t}\n\tif (o.viewport) {\n\t\ttrace.viewport = rect(o.viewport)\n\t}\n\tif (o.diagonal != null) { trace.diagonal = o.diagonal }\n\tif (o.upper != null) { trace.upper = o.upper }\n\tif (o.lower != null) { trace.lower = o.lower }\n\n\t// put flattened data into buffer\n\tif (o.data) {\n\t\ttrace.buffer(flatten(o.data))\n\t\ttrace.columns = o.data.length\n\t\ttrace.count = o.data[0].length\n\n\t\t// detect bounds per-column\n\t\ttrace.bounds = []\n\n\t\tfor (var i$1 = 0; i$1 < trace.columns; i$1++) {\n\t\t\ttrace.bounds[i$1] = getBounds(o.data[i$1], 1)\n\t\t}\n\t}\n\n\t// add proper range updating markers\n\tvar multirange\n\tif (o.range) {\n\t\ttrace.range = o.range\n\t\tmultirange = trace.range && typeof trace.range[0] !== 'number'\n\t}\n\n\tif (o.domain) {\n\t\ttrace.domain = o.domain\n\t}\n\tvar multipadding = false\n\tif (o.padding != null) {\n\t\t// multiple paddings\n\t\tif (Array.isArray(o.padding) && o.padding.length === trace.columns && typeof o.padding[o.padding.length - 1] === 'number') {\n\t\t\ttrace.padding = o.padding.map(getPad)\n\t\t\tmultipadding = true\n\t\t}\n\t\t// single padding\n\t\telse {\n\t\t\ttrace.padding = getPad(o.padding)\n\t\t}\n\t}\n\n\t// create passes\n\tvar m = trace.columns\n\tvar n = trace.count\n\n\tvar w = trace.viewport.width\n\tvar h = trace.viewport.height\n\tvar left = trace.viewport.x\n\tvar top = trace.viewport.y\n\tvar iw = w / m\n\tvar ih = h / m\n\n\ttrace.passes = []\n\n\tfor (var i$2 = 0; i$2 < m; i$2++) {\n\t\tfor (var j = 0; j < m; j++) {\n\t\t\tif (!trace.diagonal && j === i$2) { continue }\n\t\t\tif (!trace.upper && i$2 > j) { continue }\n\t\t\tif (!trace.lower && i$2 < j) { continue }\n\n\t\t\tvar key = passId(trace.id, i$2, j)\n\n\t\t\tvar pass = this$1.passes[key] || (this$1.passes[key] = {})\n\n\t\t\tif (o.data) {\n\t\t\t\tif (o.transpose) {\n\t\t\t\t\tpass.positions = {\n\t\t\t\t\t\tx: {buffer: trace.buffer, offset: j, count: n, stride: m},\n\t\t\t\t\t\ty: {buffer: trace.buffer, offset: i$2, count: n, stride: m}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tpass.positions = {\n\t\t\t\t\t\tx: {buffer: trace.buffer, offset: j * n, count: n},\n\t\t\t\t\t\ty: {buffer: trace.buffer, offset: i$2 * n, count: n}\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tpass.bounds = getBox(trace.bounds, i$2, j)\n\t\t\t}\n\n\t\t\tif (o.domain || o.viewport || o.data) {\n\t\t\t\tvar pad = multipadding ? getBox(trace.padding, i$2, j) : trace.padding\n\t\t\t\tif (trace.domain) {\n\t\t\t\t\tvar ref$1 = getBox(trace.domain, i$2, j);\n\t\t\t\t\tvar lox = ref$1[0];\n\t\t\t\t\tvar loy = ref$1[1];\n\t\t\t\t\tvar hix = ref$1[2];\n\t\t\t\t\tvar hiy = ref$1[3];\n\n\t\t\t\t\tpass.viewport = [\n\t\t\t\t\t\tleft + lox * w + pad[0],\n\t\t\t\t\t\ttop + loy * h + pad[1],\n\t\t\t\t\t\tleft + hix * w - pad[2],\n\t\t\t\t\t\ttop + hiy * h - pad[3]\n\t\t\t\t\t]\n\t\t\t\t}\n\t\t\t\t// consider auto-domain equipartial\n\t\t\t\telse {\n\t\t\t\t\tpass.viewport = [\n\t\t\t\t\t\tleft + j * iw + iw * pad[0],\n\t\t\t\t\t\ttop + i$2 * ih + ih * pad[1],\n\t\t\t\t\t\tleft + (j + 1) * iw - iw * pad[2],\n\t\t\t\t\t\ttop + (i$2 + 1) * ih - ih * pad[3]\n\t\t\t\t\t]\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (o.color) { pass.color = trace.color }\n\t\t\tif (o.size) { pass.size = trace.size }\n\t\t\tif (o.marker) { pass.marker = trace.marker }\n\t\t\tif (o.borderSize) { pass.borderSize = trace.borderSize }\n\t\t\tif (o.borderColor) { pass.borderColor = trace.borderColor }\n\t\t\tif (o.opacity) { pass.opacity = trace.opacity }\n\n\t\t\tif (o.range) {\n\t\t\t\tpass.range = multirange ? getBox(trace.range, i$2, j) : trace.range || pass.bounds\n\t\t\t}\n\n\t\t\ttrace.passes.push(key)\n\t\t}\n\t}\n\n\treturn this\n}\n\n\n// draw all or passed passes\nSPLOM.prototype.draw = function () {\n\tvar this$1 = this;\n\tvar ref$2;\n\n\tvar args = [], len = arguments.length;\n\twhile ( len-- ) args[ len ] = arguments[ len ];\n\tif (!args.length) {\n\t\tthis.scatter.draw()\n\t}\n\telse {\n\t\tvar idx = []\n\t\tfor (var i = 0; i < args.length; i++) {\n\t\t\t// draw(0, 2, 5) - draw traces\n\t\t\tif (typeof args[i] === 'number' ) {\n\t\t\t\tvar ref = this$1.traces[args[i]];\n\t\t\t\tvar passes = ref.passes;\n\t\t\t\tvar passOffset = ref.passOffset;\n\t\t\t\tidx.push.apply(idx, arrRange(passOffset, passOffset + passes.length))\n\t\t\t}\n\t\t\t// draw([0, 1, 2 ...], [3, 4, 5]) - draw points\n\t\t\telse if (args[i].length) {\n\t\t\t\tvar els = args[i]\n\t\t\t\tvar ref$1 = this$1.traces[i];\n\t\t\t\tvar passes$1 = ref$1.passes;\n\t\t\t\tvar passOffset$1 = ref$1.passOffset;\n\t\t\t\tpasses$1 = passes$1.map(function (passId, i) {\n\t\t\t\t\tidx[passOffset$1 + i] = els\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\t\t(ref$2 = this.scatter).draw.apply(ref$2, idx)\n\t}\n\n\treturn this\n}\n\n\n// dispose resources\nSPLOM.prototype.destroy = function () {\n\tthis.traces.forEach(function (trace) {\n\t\tif (trace.buffer && trace.buffer.destroy) { trace.buffer.destroy() }\n\t})\n\tthis.traces = null\n\tthis.passes = null\n\n\tthis.scatter.destroy()\n\n\treturn this\n}\n\n\n// return pass corresponding to trace i- j- square\nfunction passId (trace, i, j) {\n\tvar id = (trace.id != null ? trace.id : trace)\n\tvar n = i\n\tvar m = j\n\tvar key = id << 16 | (n & 0xff) << 8 | m & 0xff\n\n\treturn key\n}\n\n\n// return bounding box corresponding to a pass\nfunction getBox (items, i, j) {\n\tvar ilox, iloy, ihix, ihiy, jlox, jloy, jhix, jhiy\n\tvar iitem = items[i], jitem = items[j]\n\n\tif (iitem.length > 2) {\n\t\tilox = iitem[0]\n\t\tihix = iitem[2]\n\t\tiloy = iitem[1]\n\t\tihiy = iitem[3]\n\t}\n\telse if (iitem.length) {\n\t\tilox = iloy = iitem[0]\n\t\tihix = ihiy = iitem[1]\n\t}\n\telse {\n\t\tilox = iitem.x\n\t\tiloy = iitem.y\n\t\tihix = iitem.x + iitem.width\n\t\tihiy = iitem.y + iitem.height\n\t}\n\n\tif (jitem.length > 2) {\n\t\tjlox = jitem[0]\n\t\tjhix = jitem[2]\n\t\tjloy = jitem[1]\n\t\tjhiy = jitem[3]\n\t}\n\telse if (jitem.length) {\n\t\tjlox = jloy = jitem[0]\n\t\tjhix = jhiy = jitem[1]\n\t}\n\telse {\n\t\tjlox = jitem.x\n\t\tjloy = jitem.y\n\t\tjhix = jitem.x + jitem.width\n\t\tjhiy = jitem.y + jitem.height\n\t}\n\n\treturn [ jlox, iloy, jhix, ihiy ]\n}\n\n\nfunction getPad (arg) {\n\tif (typeof arg === 'number') { return [arg, arg, arg, arg] }\n\telse if (arg.length === 2) { return [arg[0], arg[1], arg[0], arg[1]] }\n\telse {\n\t\tvar box = rect(arg)\n\t\treturn [box.x, box.y, box.x + box.width, 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i<NUM_EXPANDED; ++i) {\n    procArgs.push(\"det\" + i)\n    code.push(\"case \", i, \":return det\", i, \"(m);\")\n  }\n  code.push(\"}\\\nvar det=CACHE[m.length];\\\nif(!det)\\\ndet=CACHE[m.length]=gen(m.length);\\\nreturn det(m);\\\n}\\\nreturn robustDeterminant\")\n  procArgs.push(\"CACHE\", \"gen\", code.join(\"\"))\n  var proc = Function.apply(undefined, procArgs)\n  module.exports = proc.apply(undefined, CACHE.concat([CACHE, compileDeterminant]))\n  for(var i=0; i<CACHE.length; ++i) {\n    module.exports[i] = CACHE[i]\n  }\n}\n\ngenerateDispatch()\n},{\"robust-compress\":481,\"robust-scale\":488,\"robust-sum\":491,\"two-product\":520}],483:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar twoProduct = _dereq_(\"two-product\")\nvar robustSum = _dereq_(\"robust-sum\")\n\nmodule.exports = robustDotProduct\n\nfunction robustDotProduct(a, b) {\n  var r = twoProduct(a[0], b[0])\n  for(var i=1; i<a.length; ++i) {\n    r = robustSum(r, twoProduct(a[i], b[i]))\n  }\n  return r\n}\n},{\"robust-sum\":491,\"two-product\":520}],484:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar twoProduct = _dereq_(\"two-product\")\nvar robustSum = _dereq_(\"robust-sum\")\nvar robustDiff = _dereq_(\"robust-subtract\")\nvar robustScale = _dereq_(\"robust-scale\")\n\nvar NUM_EXPAND = 6\n\nfunction cofactor(m, c) {\n  var result = new Array(m.length-1)\n  for(var i=1; i<m.length; ++i) {\n    var r = result[i-1] = new Array(m.length-1)\n    for(var j=0,k=0; j<m.length; ++j) {\n      if(j === c) {\n        continue\n      }\n      r[k++] = m[i][j]\n    }\n  }\n  return result\n}\n\nfunction matrix(n) {\n  var result = new Array(n)\n  for(var i=0; i<n; ++i) {\n    result[i] = new Array(n)\n    for(var j=0; j<n; ++j) {\n      result[i][j] = [\"m\", j, \"[\", (n-i-2), \"]\"].join(\"\")\n    }\n  }\n  return result\n}\n\nfunction generateSum(expr) {\n  if(expr.length === 1) {\n    return expr[0]\n  } else if(expr.length === 2) {\n    return [\"sum(\", expr[0], \",\", expr[1], \")\"].join(\"\")\n  } else {\n    var m = expr.length>>1\n    return [\"sum(\", generateSum(expr.slice(0, m)), \",\", generateSum(expr.slice(m)), \")\"].join(\"\")\n  }\n}\n\nfunction makeProduct(a, b) {\n  if(a.charAt(0) === \"m\") {\n    if(b.charAt(0) === \"w\") {\n      var toks = a.split(\"[\")\n      return [\"w\", b.substr(1), \"m\", toks[0].substr(1)].join(\"\")\n    } else {\n      return [\"prod(\", a, \",\", b, \")\"].join(\"\")\n    }\n  } else {\n    return makeProduct(b, a)\n  }\n}\n\nfunction sign(s) {\n  if(s & 1 !== 0) {\n    return \"-\"\n  }\n  return \"\"\n}\n\nfunction determinant(m) {\n  if(m.length === 2) {\n    return [[\"diff(\", makeProduct(m[0][0], m[1][1]), \",\", makeProduct(m[1][0], m[0][1]), \")\"].join(\"\")]\n  } else {\n    var expr = []\n    for(var i=0; i<m.length; ++i) {\n      expr.push([\"scale(\", generateSum(determinant(cofactor(m, i))), \",\", sign(i), m[0][i], \")\"].join(\"\"))\n    }\n    return expr\n  }\n}\n\nfunction 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for(var i=0; i<n; ++i) {\n    code.push(\"det([\")\n    for(var j=0; j<n; ++j) {\n      if(j > 0) {\n        code.push(\",\")\n      }\n      code.push(\"[\")\n      for(var k=0; k<n; ++k) {\n        if(k > 0) {\n          code.push(\",\")\n        }\n        if(k === i) {\n          code.push(\"+b[\", j, \"]\")\n        } else {\n          code.push(\"+A[\", j, \"][\", k, \"]\")\n        }\n      }\n      code.push(\"]\")\n    }\n    code.push(\"]),\")\n  }\n  code.push(\"det(A)]}return \", funcName)\n  var proc = new Function(\"det\", code.join(\"\"))\n  if(n < 6) {\n    return proc(determinant[n])\n  }\n  return proc(determinant)\n}\n\nfunction robustLinearSolve0d() {\n  return [ 0 ]\n}\n\nfunction robustLinearSolve1d(A, b) {\n  return [ [ b[0] ], [ A[0][0] ] ]\n}\n\nvar CACHE = [\n  robustLinearSolve0d,\n  robustLinearSolve1d\n]\n\nfunction generateDispatch() {\n  while(CACHE.length < NUM_EXPAND) {\n    CACHE.push(generateSolver(CACHE.length))\n  }\n  var procArgs = []\n  var code = [\"function dispatchLinearSolve(A,b){switch(A.length){\"]\n  for(var i=0; i<NUM_EXPAND; ++i) {\n    procArgs.push(\"s\" + i)\n    code.push(\"case \", i, \":return s\", i, \"(A,b);\")\n  }\n  code.push(\"}var s=CACHE[A.length];if(!s)s=CACHE[A.length]=g(A.length);return s(A,b)}return dispatchLinearSolve\")\n  procArgs.push(\"CACHE\", \"g\", code.join(\"\"))\n  var proc = Function.apply(undefined, procArgs)\n  module.exports = proc.apply(undefined, CACHE.concat([CACHE, generateSolver]))\n  for(var i=0; i<NUM_EXPAND; ++i) {\n    module.exports[i] = CACHE[i]\n  }\n}\n\ngenerateDispatch()\n},{\"robust-determinant\":482}],486:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar twoProduct = _dereq_(\"two-product\")\nvar robustSum = _dereq_(\"robust-sum\")\nvar robustScale = _dereq_(\"robust-scale\")\nvar robustSubtract = _dereq_(\"robust-subtract\")\n\nvar NUM_EXPAND = 5\n\nvar EPSILON     = 1.1102230246251565e-16\nvar ERRBOUND3   = (3.0 + 16.0 * EPSILON) * EPSILON\nvar ERRBOUND4   = (7.0 + 56.0 * EPSILON) * EPSILON\n\nfunction cofactor(m, c) {\n  var result = new Array(m.length-1)\n  for(var i=1; i<m.length; ++i) {\n    var r = result[i-1] = new Array(m.length-1)\n    for(var j=0,k=0; j<m.length; ++j) {\n      if(j === c) {\n        continue\n      }\n      r[k++] = m[i][j]\n    }\n  }\n  return result\n}\n\nfunction matrix(n) {\n  var result = new Array(n)\n  for(var i=0; i<n; ++i) {\n    result[i] = new Array(n)\n    for(var j=0; j<n; ++j) {\n      result[i][j] = [\"m\", j, \"[\", (n-i-1), \"]\"].join(\"\")\n    }\n  }\n  return result\n}\n\nfunction sign(n) {\n  if(n & 1) {\n    return \"-\"\n  }\n  return \"\"\n}\n\nfunction generateSum(expr) {\n  if(expr.length === 1) {\n    return expr[0]\n  } else if(expr.length === 2) {\n    return [\"sum(\", expr[0], \",\", expr[1], \")\"].join(\"\")\n  } else {\n    var m = expr.length>>1\n    return [\"sum(\", generateSum(expr.slice(0, m)), \",\", generateSum(expr.slice(m)), \")\"].join(\"\")\n  }\n}\n\nfunction determinant(m) {\n  if(m.length === 2) {\n    return [[\"sum(prod(\", m[0][0], \",\", m[1][1], \"),prod(-\", m[0][1], \",\", m[1][0], \"))\"].join(\"\")]\n  } else {\n    var expr = []\n    for(var i=0; i<m.length; ++i) {\n      expr.push([\"scale(\", generateSum(determinant(cofactor(m, i))), \",\", sign(i), m[0][i], \")\"].join(\"\"))\n    }\n    return expr\n  }\n}\n\nfunction orientation(n) {\n  var pos = []\n  var neg = []\n  var m = matrix(n)\n  var args = []\n  for(var i=0; i<n; ++i) {\n    if((i&1)===0) {\n      pos.push.apply(pos, determinant(cofactor(m, i)))\n    } else {\n      neg.push.apply(neg, determinant(cofactor(m, i)))\n    }\n    args.push(\"m\" + i)\n  }\n  var posExpr = generateSum(pos)\n  var negExpr = generateSum(neg)\n  var funcName = \"orientation\" + n + \"Exact\"\n  var code = [\"function \", funcName, \"(\", args.join(), \"){var p=\", posExpr, \",n=\", negExpr, \",d=sub(p,n);\\\nreturn d[d.length-1];};return \", funcName].join(\"\")\n  var proc = new Function(\"sum\", \"prod\", \"scale\", \"sub\", code)\n  return proc(robustSum, twoProduct, robustScale, robustSubtract)\n}\n\nvar orientation3Exact = orientation(3)\nvar orientation4Exact = orientation(4)\n\nvar CACHED = [\n  function orientation0() { return 0 },\n  function orientation1() { return 0 },\n  function orientation2(a, b) { \n    return b[0] - a[0]\n  },\n  function orientation3(a, b, c) {\n    var l = (a[1] - c[1]) * (b[0] - c[0])\n    var r = (a[0] - c[0]) * (b[1] - c[1])\n    var det = l - r\n    var s\n    if(l > 0) {\n      if(r <= 0) {\n        return det\n      } else {\n        s = l + r\n      }\n    } else if(l < 0) {\n      if(r >= 0) {\n        return det\n      } else {\n        s = -(l + r)\n      }\n    } else {\n      return det\n    }\n    var tol = ERRBOUND3 * s\n    if(det >= tol || det <= -tol) {\n      return det\n    }\n    return orientation3Exact(a, b, c)\n  },\n  function orientation4(a,b,c,d) {\n    var adx = a[0] - d[0]\n    var bdx = b[0] - d[0]\n    var cdx = c[0] - d[0]\n    var ady = a[1] - d[1]\n    var bdy = b[1] - d[1]\n    var cdy = c[1] - d[1]\n    var adz = a[2] - d[2]\n    var bdz = b[2] - d[2]\n    var cdz = c[2] - d[2]\n    var bdxcdy = bdx * cdy\n    var cdxbdy = cdx * bdy\n    var cdxady = cdx * ady\n    var adxcdy = adx * cdy\n    var adxbdy = adx * bdy\n    var bdxady = bdx * ady\n    var det = adz * (bdxcdy - cdxbdy) \n            + bdz * (cdxady - adxcdy)\n            + cdz * (adxbdy - bdxady)\n    var permanent = (Math.abs(bdxcdy) + Math.abs(cdxbdy)) * Math.abs(adz)\n                  + (Math.abs(cdxady) + Math.abs(adxcdy)) * Math.abs(bdz)\n                  + (Math.abs(adxbdy) + Math.abs(bdxady)) * Math.abs(cdz)\n    var tol = ERRBOUND4 * permanent\n    if ((det > tol) || (-det > tol)) {\n      return det\n    }\n    return orientation4Exact(a,b,c,d)\n  }\n]\n\nfunction slowOrient(args) {\n  var proc = CACHED[args.length]\n  if(!proc) {\n    proc = CACHED[args.length] = orientation(args.length)\n  }\n  return proc.apply(undefined, args)\n}\n\nfunction generateOrientationProc() {\n  while(CACHED.length <= NUM_EXPAND) {\n    CACHED.push(orientation(CACHED.length))\n  }\n  var args = []\n  var procArgs = [\"slow\"]\n  for(var i=0; i<=NUM_EXPAND; ++i) {\n    args.push(\"a\" + i)\n    procArgs.push(\"o\" + i)\n  }\n  var code = [\n    \"function getOrientation(\", args.join(), \"){switch(arguments.length){case 0:case 1:return 0;\"\n  ]\n  for(var i=2; i<=NUM_EXPAND; ++i) {\n    code.push(\"case \", i, \":return o\", i, \"(\", args.slice(0, i).join(), \");\")\n  }\n  code.push(\"}var s=new Array(arguments.length);for(var i=0;i<arguments.length;++i){s[i]=arguments[i]};return slow(s);}return getOrientation\")\n  procArgs.push(code.join(\"\"))\n\n  var proc = Function.apply(undefined, procArgs)\n  module.exports = proc.apply(undefined, [slowOrient].concat(CACHED))\n  for(var i=0; i<=NUM_EXPAND; ++i) {\n    module.exports[i] = CACHED[i]\n  }\n}\n\ngenerateOrientationProc()\n},{\"robust-scale\":488,\"robust-subtract\":490,\"robust-sum\":491,\"two-product\":520}],487:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar robustSum = _dereq_(\"robust-sum\")\nvar robustScale = _dereq_(\"robust-scale\")\n\nmodule.exports = robustProduct\n\nfunction robustProduct(a, b) {\n  if(a.length === 1) {\n    return robustScale(b, a[0])\n  }\n  if(b.length === 1) {\n    return robustScale(a, b[0])\n  }\n  if(a.length === 0 || b.length === 0) {\n    return [0]\n  }\n  var r = [0]\n  if(a.length < b.length) {\n    for(var i=0; i<a.length; ++i) {\n      r = robustSum(r, robustScale(b, a[i]))\n    }\n  } else {\n    for(var i=0; i<b.length; ++i) {\n      r = robustSum(r, robustScale(a, b[i]))\n    }    \n  }\n  return r\n}\n},{\"robust-scale\":488,\"robust-sum\":491}],488:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar twoProduct = _dereq_(\"two-product\")\nvar twoSum = _dereq_(\"two-sum\")\n\nmodule.exports = scaleLinearExpansion\n\nfunction scaleLinearExpansion(e, scale) {\n  var n = e.length\n  if(n === 1) {\n    var ts = twoProduct(e[0], scale)\n    if(ts[0]) {\n      return ts\n    }\n    return [ ts[1] ]\n  }\n  var g = new Array(2 * n)\n  var q = [0.1, 0.1]\n  var t = [0.1, 0.1]\n  var count = 0\n  twoProduct(e[0], scale, q)\n  if(q[0]) {\n    g[count++] = q[0]\n  }\n  for(var i=1; i<n; ++i) {\n    twoProduct(e[i], scale, t)\n    var pq = q[1]\n    twoSum(pq, t[0], q)\n    if(q[0]) {\n      g[count++] = q[0]\n    }\n    var a = t[1]\n    var b = q[1]\n    var x = a + b\n    var bv = x - a\n    var y = b - bv\n    q[1] = x\n    if(y) {\n      g[count++] = y\n    }\n  }\n  if(q[1]) {\n    g[count++] = q[1]\n  }\n  if(count === 0) {\n    g[count++] = 0.0\n  }\n  g.length = count\n  return g\n}\n},{\"two-product\":520,\"two-sum\":521}],489:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = segmentsIntersect\n\nvar orient = _dereq_(\"robust-orientation\")[3]\n\nfunction checkCollinear(a0, a1, b0, b1) {\n\n  for(var d=0; d<2; ++d) {\n    var x0 = a0[d]\n    var y0 = a1[d]\n    var l0 = Math.min(x0, y0)\n    var h0 = Math.max(x0, y0)    \n\n    var x1 = b0[d]\n    var y1 = b1[d]\n    var l1 = Math.min(x1, y1)\n    var h1 = Math.max(x1, y1)    \n\n    if(h1 < l0 || h0 < l1) {\n      return false\n    }\n  }\n\n  return true\n}\n\nfunction segmentsIntersect(a0, a1, b0, b1) {\n  var x0 = orient(a0, b0, b1)\n  var y0 = orient(a1, b0, b1)\n  if((x0 > 0 && y0 > 0) || (x0 < 0 && y0 < 0)) {\n    return false\n  }\n\n  var x1 = orient(b0, a0, a1)\n  var y1 = orient(b1, a0, a1)\n  if((x1 > 0 && y1 > 0) || (x1 < 0 && y1 < 0)) {\n    return false\n  }\n\n  //Check for degenerate collinear case\n  if(x0 === 0 && y0 === 0 && x1 === 0 && y1 === 0) {\n    return checkCollinear(a0, a1, b0, b1)\n  }\n\n  return true\n}\n},{\"robust-orientation\":486}],490:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = robustSubtract\n\n//Easy case: Add two scalars\nfunction scalarScalar(a, b) {\n  var x = a + b\n  var bv = x - a\n  var av = x - bv\n  var br = b - bv\n  var ar = a - av\n  var y = ar + br\n  if(y) {\n    return [y, x]\n  }\n  return [x]\n}\n\nfunction robustSubtract(e, f) {\n  var ne = e.length|0\n  var nf = f.length|0\n  if(ne === 1 && nf === 1) {\n    return scalarScalar(e[0], -f[0])\n  }\n  var n = ne + nf\n  var g = new Array(n)\n  var count = 0\n  var eptr = 0\n  var fptr = 0\n  var abs = Math.abs\n  var ei = e[eptr]\n  var ea = abs(ei)\n  var fi = -f[fptr]\n  var fa = abs(fi)\n  var a, b\n  if(ea < fa) {\n    b = ei\n    eptr += 1\n    if(eptr < ne) {\n      ei = e[eptr]\n      ea = abs(ei)\n    }\n  } else {\n    b = fi\n    fptr += 1\n    if(fptr < nf) {\n      fi = -f[fptr]\n      fa = abs(fi)\n    }\n  }\n  if((eptr < ne && ea < fa) || (fptr >= nf)) {\n    a = ei\n    eptr += 1\n    if(eptr < ne) {\n      ei = e[eptr]\n      ea = abs(ei)\n    }\n  } else {\n    a = fi\n    fptr += 1\n    if(fptr < nf) {\n      fi = -f[fptr]\n      fa = abs(fi)\n    }\n  }\n  var x = a + b\n  var bv = x - a\n  var y = b - bv\n  var q0 = y\n  var q1 = x\n  var _x, _bv, _av, _br, _ar\n  while(eptr < ne && fptr < nf) {\n    if(ea < fa) {\n      a = ei\n      eptr += 1\n      if(eptr < ne) {\n        ei = e[eptr]\n        ea = abs(ei)\n      }\n    } else {\n      a = fi\n      fptr += 1\n      if(fptr < nf) {\n        fi = -f[fptr]\n        fa = abs(fi)\n      }\n    }\n    b = q0\n    x = a + b\n    bv = x - a\n    y = b - bv\n    if(y) {\n      g[count++] = y\n    }\n    _x = q1 + x\n    _bv = _x - q1\n    _av = _x - _bv\n    _br = x - _bv\n    _ar = q1 - _av\n    q0 = _ar + _br\n    q1 = _x\n  }\n  while(eptr < ne) {\n    a = ei\n    b = q0\n    x = a + b\n    bv = x - a\n    y = b - bv\n    if(y) {\n      g[count++] = y\n    }\n    _x = q1 + x\n    _bv = _x - q1\n    _av = _x - _bv\n    _br = x - _bv\n    _ar = q1 - _av\n    q0 = _ar + _br\n    q1 = _x\n    eptr += 1\n    if(eptr < ne) {\n      ei = e[eptr]\n    }\n  }\n  while(fptr < nf) {\n    a = fi\n    b = q0\n    x = a + b\n    bv = x - a\n    y = b - bv\n    if(y) {\n      g[count++] = y\n    } \n    _x = q1 + x\n    _bv = _x - q1\n    _av = _x - _bv\n    _br = x - _bv\n    _ar = q1 - _av\n    q0 = _ar + _br\n    q1 = _x\n    fptr += 1\n    if(fptr < nf) {\n      fi = -f[fptr]\n    }\n  }\n  if(q0) {\n    g[count++] = q0\n  }\n  if(q1) {\n    g[count++] = q1\n  }\n  if(!count) {\n    g[count++] = 0.0  \n  }\n  g.length = count\n  return g\n}\n},{}],491:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = linearExpansionSum\n\n//Easy case: Add two scalars\nfunction scalarScalar(a, b) {\n  var x = a + b\n  var bv = x - a\n  var av = x - bv\n  var br = b - bv\n  var ar = a - av\n  var y = ar + br\n  if(y) {\n    return [y, x]\n  }\n  return [x]\n}\n\nfunction linearExpansionSum(e, f) {\n  var ne = e.length|0\n  var nf = f.length|0\n  if(ne === 1 && nf === 1) {\n    return scalarScalar(e[0], f[0])\n  }\n  var n = ne + nf\n  var g = new Array(n)\n  var count = 0\n  var eptr = 0\n  var fptr = 0\n  var abs = Math.abs\n  var ei = e[eptr]\n  var ea = abs(ei)\n  var fi = f[fptr]\n  var fa = abs(fi)\n  var a, b\n  if(ea < fa) {\n    b = ei\n    eptr += 1\n    if(eptr < ne) {\n      ei = e[eptr]\n      ea = abs(ei)\n    }\n  } else {\n    b = fi\n    fptr += 1\n    if(fptr < nf) {\n      fi = f[fptr]\n      fa = abs(fi)\n    }\n  }\n  if((eptr < ne && ea < fa) || (fptr >= nf)) {\n    a = ei\n    eptr += 1\n    if(eptr < ne) {\n      ei = e[eptr]\n      ea = abs(ei)\n    }\n  } else {\n    a = fi\n    fptr += 1\n    if(fptr < nf) {\n      fi = f[fptr]\n      fa = abs(fi)\n    }\n  }\n  var x = a + b\n  var bv = x - a\n  var y = b - bv\n  var q0 = y\n  var q1 = x\n  var _x, _bv, _av, _br, _ar\n  while(eptr < ne && fptr < nf) {\n    if(ea < fa) {\n      a = ei\n      eptr += 1\n      if(eptr < ne) {\n        ei = e[eptr]\n        ea = abs(ei)\n      }\n    } else {\n      a = fi\n      fptr += 1\n      if(fptr < nf) {\n        fi = f[fptr]\n        fa = abs(fi)\n      }\n    }\n    b = q0\n    x = a + b\n    bv = x - a\n    y = b - bv\n    if(y) {\n      g[count++] = y\n    }\n    _x = q1 + x\n    _bv = _x - q1\n    _av = _x - _bv\n    _br = x - _bv\n    _ar = q1 - _av\n    q0 = _ar + _br\n    q1 = _x\n  }\n  while(eptr < ne) {\n    a = ei\n    b = q0\n    x = a + b\n    bv = x - a\n    y = b - bv\n    if(y) {\n      g[count++] = y\n    }\n    _x = q1 + x\n    _bv = _x - q1\n    _av = _x - _bv\n    _br = x - _bv\n    _ar = q1 - _av\n    q0 = _ar + _br\n    q1 = _x\n    eptr += 1\n    if(eptr < ne) {\n      ei = e[eptr]\n    }\n  }\n  while(fptr < nf) {\n    a = fi\n    b = q0\n    x = a + b\n    bv = x - a\n    y = b - bv\n    if(y) {\n      g[count++] = y\n    } \n    _x = q1 + x\n    _bv = _x - q1\n    _av = _x - _bv\n    _br = x - _bv\n    _ar = q1 - _av\n    q0 = _ar + _br\n    q1 = _x\n    fptr += 1\n    if(fptr < nf) {\n      fi = f[fptr]\n    }\n  }\n  if(q0) {\n    g[count++] = q0\n  }\n  if(q1) {\n    g[count++] = q1\n  }\n  if(!count) {\n    g[count++] = 0.0  \n  }\n  g.length = count\n  return g\n}\n},{}],492:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = function signum(x) {\n  if(x < 0) { return -1 }\n  if(x > 0) { return 1 }\n  return 0.0\n}\n},{}],493:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = boundary\n\nvar bnd = _dereq_('boundary-cells')\nvar reduce = _dereq_('reduce-simplicial-complex')\n\nfunction boundary(cells) {\n  return reduce(bnd(cells))\n}\n\n},{\"boundary-cells\":83,\"reduce-simplicial-complex\":472}],494:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = extractContour\n\nvar ndarray = _dereq_('ndarray')\nvar pool    = _dereq_('typedarray-pool')\nvar ndsort  = _dereq_('ndarray-sort')\n\nvar contourAlgorithm = _dereq_('./lib/codegen')\n\nfunction getDimension(cells) {\n  var numCells = cells.length\n  var d = 0\n  for(var i=0; i<numCells; ++i) {\n    d = Math.max(d, cells[i].length)|0\n  }\n  return d-1\n}\n\nfunction getSigns(values, level) {\n  var numVerts    = values.length\n  var vertexSigns = pool.mallocUint8(numVerts)\n  for(var i=0; i<numVerts; ++i) {\n    vertexSigns[i] = (values[i] < level)|0\n  }\n  return vertexSigns\n}\n\nfunction getEdges(cells, d) {\n  var numCells = cells.length\n  var maxEdges = ((d * (d+1)/2) * numCells)|0\n  var edges    = pool.mallocUint32(maxEdges*2)\n  var ePtr     = 0\n  for(var i=0; i<numCells; ++i) {\n    var c = cells[i]\n    var d = c.length\n    for(var j=0; j<d; ++j) {\n      for(var k=0; k<j; ++k) {\n        var a = c[k]\n        var b = c[j]\n        edges[ePtr++] = Math.min(a,b)|0\n        edges[ePtr++] = Math.max(a,b)|0\n      }\n    }\n  }\n  var nedges = (ePtr/2)|0\n  ndsort(ndarray(edges, [nedges,2])) \n  var ptr = 2\n  for(var i=2; i<ePtr; i+=2) {\n    if(edges[i-2] === edges[i] &&\n       edges[i-1] === edges[i+1]) {\n      continue\n    }\n    edges[ptr++] = edges[i]\n    edges[ptr++] = edges[i+1]\n  }\n\n  return ndarray(edges, [(ptr/2)|0, 2])\n}\n\nfunction getCrossingWeights(edges, values, signs, level) {\n  var edata     = edges.data\n  var numEdges  = edges.shape[0]\n  var weights   = pool.mallocDouble(numEdges)\n  var ptr       = 0\n  for(var i=0; i<numEdges; ++i) {\n    var a  = edata[2*i]\n    var b  = edata[2*i+1]\n    if(signs[a] === signs[b]) {\n      continue\n    }\n    var va = values[a]\n    var vb = values[b]\n    edata[2*ptr]     = a\n    edata[2*ptr+1]   = b\n    weights[ptr++]   = (vb - level) / (vb - va)\n  }\n  edges.shape[0] = ptr\n  return ndarray(weights, [ptr])\n}\n\nfunction getCascade(edges, numVerts) {\n  var result   = pool.mallocInt32(numVerts*2)\n  var numEdges = edges.shape[0]\n  var edata    = edges.data\n  result[0]    = 0\n  var lastV    = 0\n  for(var i=0; i<numEdges; ++i) {\n    var a = edata[2*i]\n    if(a !== lastV) {\n      result[2*lastV+1] = i\n      while(++lastV < a) {\n        result[2*lastV] = i\n        result[2*lastV+1] = i\n      }\n      result[2*lastV] = i\n    }\n  }\n  result[2*lastV+1] = numEdges\n  while(++lastV < numVerts) {\n    result[2*lastV] = result[2*lastV+1] = numEdges\n  }\n  return result\n}\n\nfunction unpackEdges(edges) {\n  var ne = edges.shape[0]|0\n  var edata = edges.data\n  var result = new Array(ne)\n  for(var i=0; i<ne; ++i) {\n    result[i] = [edata[2*i], edata[2*i+1]]\n  }\n  return result\n}\n\nfunction extractContour(cells, values, level, d) {\n  level = level||0.0\n\n  //If user didn't specify `d`, use brute force scan\n  if(typeof d === 'undefined') {\n    d = getDimension(cells)\n  }\n\n  //Count number of cells\n  var numCells = cells.length\n  if(numCells === 0 || d < 1) {\n    return {\n      cells:         [],\n      vertexIds:     [],\n      vertexWeights: []\n    }\n  }\n\n  //Read in vertex signs\n  var vertexSigns = getSigns(values, +level)\n\n  //First get 1-skeleton, find all crossings\n  var edges   = getEdges(cells, d)\n  var weights = getCrossingWeights(edges, values, vertexSigns, +level)\n\n  //Build vertex cascade to speed up binary search\n  var vcascade = getCascade(edges, values.length|0)\n\n  //Then construct cells\n  var faces = contourAlgorithm(d)(cells, edges.data, vcascade, vertexSigns)\n\n  //Unpack data into pretty format\n  var uedges   = unpackEdges(edges)\n  var uweights = [].slice.call(weights.data, 0, weights.shape[0])\n\n  //Release data\n  pool.free(vertexSigns)\n  pool.free(edges.data)\n  pool.free(weights.data)\n  pool.free(vcascade)\n  \n  return {\n    cells:         faces,\n    vertexIds:     uedges,\n    vertexWeights: uweights\n  }\n}\n},{\"./lib/codegen\":495,\"ndarray\":433,\"ndarray-sort\":431,\"typedarray-pool\":522}],495:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = getPolygonizer\n\nvar pool = _dereq_('typedarray-pool')\nvar createMSTable = _dereq_('marching-simplex-table')\n\nvar CACHE = {}\n\nfunction createCellPolygonizer(d) {\n  var maxCellSize = 0\n  var tables = new Array(d+1)\n  tables[0] = [ [] ]\n  for(var i=1; i<=d; ++i) {\n    var tab = tables[i] = createMSTable(i)\n    for(var j=0; j<tab.length; ++j) {\n      maxCellSize = Math.max(maxCellSize, tab[i].length)\n    }\n  }\n\n  var code  = [\n  'function B(C,E,i,j){',\n    'var a=Math.min(i,j)|0,b=Math.max(i,j)|0,l=C[2*a],h=C[2*a+1];',\n    'while(l<h){',\n      'var m=(l+h)>>1,v=E[2*m+1];',\n      'if(v===b){return m}',\n      'if(b<v){h=m}else{l=m+1}',\n    '}',\n    'return l;',\n  '};',\n  'function getContour', d, 'd(F,E,C,S){',\n    'var n=F.length,R=[];',\n    'for(var i=0;i<n;++i){var c=F[i],l=c.length;'\n  ]\n\n  function generateCase(facets) {\n    if(facets.length <= 0) {\n      return\n    }\n    code.push('R.push(')\n    for(var i=0; i<facets.length; ++i) {\n      var facet = facets[i]\n      if(i > 0) {\n        code.push(',')\n      }\n      code.push('[')\n      for(var j=0; j<facet.length; ++j) {\n        var f = facet[j]\n        if(j > 0) {\n          code.push(',')\n        }\n        code.push('B(C,E,c[', f[0], '],c[', f[1], '])')\n      }\n      code.push(']')\n    }\n    code.push(');')\n  }\n\n  for(var i=d+1; i>1; --i) {\n    if(i < d+1) {\n      code.push('else ')\n    }\n    code.push('if(l===', i, '){')\n\n    //Generate mask\n    var maskStr = []\n    for(var j=0; j<i; ++j) {\n      maskStr.push('(S[c['+j+']]<<'+j+')')\n    }\n\n    //Perform table look up\n    code.push('var M=', maskStr.join('+'), \n      ';if(M===0||M===', (1<<i)-1, \n        '){continue}switch(M){')\n\n    var tab = tables[i-1]\n    for(var j=0; j<tab.length; ++j) {\n      code.push('case ', j, ':')\n      generateCase(tab[j])\n      code.push('break;')\n    }\n    code.push('}}')\n  }\n  code.push('}return R;};return getContour', d, 'd')\n\n  var proc = new Function('pool', code.join(''))\n  return proc(pool)\n}\n\nfunction getPolygonizer(d) {\n  var alg = CACHE[d]\n  if(!alg) {\n    alg = CACHE[d] = createCellPolygonizer(d) \n  }\n  return alg\n}\n},{\"marching-simplex-table\":410,\"typedarray-pool\":522}],496:[function(_dereq_,module,exports){\n\"use strict\"; \"use restrict\";\n\nvar bits      = _dereq_(\"bit-twiddle\")\n  , UnionFind = _dereq_(\"union-find\")\n\n//Returns the dimension of a cell complex\nfunction dimension(cells) {\n  var d = 0\n    , max = Math.max\n  for(var i=0, il=cells.length; i<il; ++i) {\n    d = max(d, cells[i].length)\n  }\n  return d-1\n}\nexports.dimension = dimension\n\n//Counts the number of vertices in faces\nfunction countVertices(cells) {\n  var vc = -1\n    , max = Math.max\n  for(var i=0, il=cells.length; i<il; ++i) {\n    var c = cells[i]\n    for(var j=0, jl=c.length; j<jl; ++j) {\n      vc = max(vc, c[j])\n    }\n  }\n  return vc+1\n}\nexports.countVertices = countVertices\n\n//Returns a deep copy of cells\nfunction cloneCells(cells) {\n  var ncells = new Array(cells.length)\n  for(var i=0, il=cells.length; i<il; ++i) {\n    ncells[i] = cells[i].slice(0)\n  }\n  return ncells\n}\nexports.cloneCells = cloneCells\n\n//Ranks a pair of cells up to permutation\nfunction compareCells(a, b) {\n  var n = a.length\n    , t = a.length - b.length\n    , min = Math.min\n  if(t) {\n    return t\n  }\n  switch(n) {\n    case 0:\n      return 0;\n    case 1:\n      return a[0] - b[0];\n    case 2:\n      var d = a[0]+a[1]-b[0]-b[1]\n      if(d) {\n        return d\n      }\n      return min(a[0],a[1]) - min(b[0],b[1])\n    case 3:\n      var l1 = a[0]+a[1]\n        , m1 = b[0]+b[1]\n      d = l1+a[2] - (m1+b[2])\n      if(d) {\n        return d\n      }\n      var l0 = min(a[0], a[1])\n        , m0 = min(b[0], b[1])\n        , d  = min(l0, a[2]) - min(m0, b[2])\n      if(d) {\n        return d\n      }\n      return min(l0+a[2], l1) - min(m0+b[2], m1)\n    \n    //TODO: Maybe optimize n=4 as well?\n    \n    default:\n      var as = a.slice(0)\n      as.sort()\n      var bs = b.slice(0)\n      bs.sort()\n      for(var i=0; i<n; ++i) {\n        t = as[i] - bs[i]\n        if(t) {\n          return t\n        }\n      }\n      return 0\n  }\n}\nexports.compareCells = compareCells\n\nfunction compareZipped(a, b) {\n  return compareCells(a[0], b[0])\n}\n\n//Puts a cell complex into normal order for the purposes of findCell queries\nfunction normalize(cells, attr) {\n  if(attr) {\n    var len = cells.length\n    var zipped = new Array(len)\n    for(var i=0; i<len; ++i) {\n      zipped[i] = [cells[i], attr[i]]\n    }\n    zipped.sort(compareZipped)\n    for(var i=0; i<len; ++i) {\n      cells[i] = zipped[i][0]\n      attr[i] = zipped[i][1]\n    }\n    return cells\n  } else {\n    cells.sort(compareCells)\n    return cells\n  }\n}\nexports.normalize = normalize\n\n//Removes all duplicate cells in the complex\nfunction unique(cells) {\n  if(cells.length === 0) {\n    return []\n  }\n  var ptr = 1\n    , len = cells.length\n  for(var i=1; i<len; ++i) {\n    var a = cells[i]\n    if(compareCells(a, cells[i-1])) {\n      if(i === ptr) {\n        ptr++\n        continue\n      }\n      cells[ptr++] = a\n    }\n  }\n  cells.length = ptr\n  return cells\n}\nexports.unique = unique;\n\n//Finds a cell in a normalized cell complex\nfunction findCell(cells, c) {\n  var lo = 0\n    , hi = cells.length-1\n    , r  = -1\n  while (lo <= hi) {\n    var mid = (lo + hi) >> 1\n      , s   = compareCells(cells[mid], c)\n    if(s <= 0) {\n      if(s === 0) {\n        r = mid\n      }\n      lo = mid + 1\n    } else if(s > 0) {\n      hi = mid - 1\n    }\n  }\n  return r\n}\nexports.findCell = findCell;\n\n//Builds an index for an n-cell.  This is more general than dual, but less efficient\nfunction incidence(from_cells, to_cells) {\n  var index = new Array(from_cells.length)\n  for(var i=0, il=index.length; i<il; ++i) {\n    index[i] = []\n  }\n  var b = []\n  for(var i=0, n=to_cells.length; i<n; ++i) {\n    var c = to_cells[i]\n    var cl = c.length\n    for(var k=1, kn=(1<<cl); k<kn; ++k) {\n      b.length = bits.popCount(k)\n      var l = 0\n      for(var j=0; j<cl; ++j) {\n        if(k & (1<<j)) {\n          b[l++] = c[j]\n        }\n      }\n      var idx=findCell(from_cells, b)\n      if(idx < 0) {\n        continue\n      }\n      while(true) {\n        index[idx++].push(i)\n        if(idx >= from_cells.length || compareCells(from_cells[idx], b) !== 0) {\n          break\n        }\n      }\n    }\n  }\n  return index\n}\nexports.incidence = incidence\n\n//Computes the dual of the mesh.  This is basically an optimized version of buildIndex for the situation where from_cells is just the list of vertices\nfunction dual(cells, vertex_count) {\n  if(!vertex_count) {\n    return incidence(unique(skeleton(cells, 0)), cells, 0)\n  }\n  var res = new Array(vertex_count)\n  for(var i=0; i<vertex_count; ++i) {\n    res[i] = []\n  }\n  for(var i=0, len=cells.length; i<len; ++i) {\n    var c = cells[i]\n    for(var j=0, cl=c.length; j<cl; ++j) {\n      res[c[j]].push(i)\n    }\n  }\n  return res\n}\nexports.dual = dual\n\n//Enumerates all cells in the complex\nfunction explode(cells) {\n  var result = []\n  for(var i=0, il=cells.length; i<il; ++i) {\n    var c = cells[i]\n      , cl = c.length|0\n    for(var j=1, jl=(1<<cl); j<jl; ++j) {\n      var b = []\n      for(var k=0; k<cl; ++k) {\n        if((j >>> k) & 1) {\n          b.push(c[k])\n        }\n      }\n      result.push(b)\n    }\n  }\n  return normalize(result)\n}\nexports.explode = explode\n\n//Enumerates all of the n-cells of a cell complex\nfunction skeleton(cells, n) {\n  if(n < 0) {\n    return []\n  }\n  var result = []\n    , k0     = (1<<(n+1))-1\n  for(var i=0; i<cells.length; ++i) {\n    var c = cells[i]\n    for(var k=k0; k<(1<<c.length); k=bits.nextCombination(k)) {\n      var b = new Array(n+1)\n        , l = 0\n      for(var j=0; j<c.length; ++j) {\n        if(k & (1<<j)) {\n          b[l++] = c[j]\n        }\n      }\n      result.push(b)\n    }\n  }\n  return normalize(result)\n}\nexports.skeleton = skeleton;\n\n//Computes the boundary of all cells, does not remove duplicates\nfunction boundary(cells) {\n  var res = []\n  for(var i=0,il=cells.length; i<il; ++i) {\n    var c = cells[i]\n    for(var j=0,cl=c.length; j<cl; ++j) {\n      var b = new Array(c.length-1)\n      for(var k=0, l=0; k<cl; ++k) {\n        if(k !== j) {\n          b[l++] = c[k]\n        }\n      }\n      res.push(b)\n    }\n  }\n  return normalize(res)\n}\nexports.boundary = boundary;\n\n//Computes connected components for a dense cell complex\nfunction connectedComponents_dense(cells, vertex_count) {\n  var labels = new UnionFind(vertex_count)\n  for(var i=0; i<cells.length; ++i) {\n    var c = cells[i]\n    for(var j=0; j<c.length; ++j) {\n      for(var k=j+1; k<c.length; ++k) {\n        labels.link(c[j], c[k])\n      }\n    }\n  }\n  var components = []\n    , component_labels = labels.ranks\n  for(var i=0; i<component_labels.length; ++i) {\n    component_labels[i] = -1\n  }\n  for(var i=0; i<cells.length; ++i) {\n    var l = labels.find(cells[i][0])\n    if(component_labels[l] < 0) {\n      component_labels[l] = components.length\n      components.push([cells[i].slice(0)])\n    } else {\n      components[component_labels[l]].push(cells[i].slice(0))\n    }\n  }\n  return components\n}\n\n//Computes connected components for a sparse graph\nfunction connectedComponents_sparse(cells) {\n  var vertices  = unique(normalize(skeleton(cells, 0)))\n    , labels    = new UnionFind(vertices.length)\n  for(var i=0; i<cells.length; ++i) {\n    var c = cells[i]\n    for(var j=0; j<c.length; ++j) {\n      var vj = findCell(vertices, [c[j]])\n      for(var k=j+1; k<c.length; ++k) {\n        labels.link(vj, findCell(vertices, [c[k]]))\n      }\n    }\n  }\n  var components        = []\n    , component_labels  = labels.ranks\n  for(var i=0; i<component_labels.length; ++i) {\n    component_labels[i] = -1\n  }\n  for(var i=0; i<cells.length; ++i) {\n    var l = labels.find(findCell(vertices, [cells[i][0]]));\n    if(component_labels[l] < 0) {\n      component_labels[l] = components.length\n      components.push([cells[i].slice(0)])\n    } else {\n      components[component_labels[l]].push(cells[i].slice(0))\n    }\n  }\n  return components\n}\n\n//Computes connected components for a cell complex\nfunction connectedComponents(cells, vertex_count) {\n  if(vertex_count) {\n    return connectedComponents_dense(cells, vertex_count)\n  }\n  return connectedComponents_sparse(cells)\n}\nexports.connectedComponents = connectedComponents\n\n},{\"bit-twiddle\":80,\"union-find\":523}],497:[function(_dereq_,module,exports){\narguments[4][80][0].apply(exports,arguments)\n},{\"dup\":80}],498:[function(_dereq_,module,exports){\narguments[4][496][0].apply(exports,arguments)\n},{\"bit-twiddle\":497,\"dup\":496,\"union-find\":499}],499:[function(_dereq_,module,exports){\n\"use strict\"; \"use restrict\";\n\nmodule.exports = UnionFind;\n\nfunction UnionFind(count) {\n  this.roots = new Array(count);\n  this.ranks = new Array(count);\n  \n  for(var i=0; i<count; ++i) {\n    this.roots[i] = i;\n    this.ranks[i] = 0;\n  }\n}\n\nUnionFind.prototype.length = function() {\n  return this.roots.length;\n}\n\nUnionFind.prototype.makeSet = function() {\n  var n = this.roots.length;\n  this.roots.push(n);\n  this.ranks.push(0);\n  return n;\n}\n\nUnionFind.prototype.find = function(x) {\n  var roots = this.roots;\n  while(roots[x] !== x) {\n    var y = roots[x];\n    roots[x] = roots[y];\n    x = y;\n  }\n  return x;\n}\n\nUnionFind.prototype.link = function(x, y) {\n  var xr = this.find(x)\n    , yr = this.find(y);\n  if(xr === yr) {\n    return;\n  }\n  var ranks = this.ranks\n    , roots = this.roots\n    , xd    = ranks[xr]\n    , yd    = ranks[yr];\n  if(xd < yd) {\n    roots[xr] = yr;\n  } else if(yd < xd) {\n    roots[yr] = xr;\n  } else {\n    roots[yr] = xr;\n    ++ranks[xr];\n  }\n}\n\n\n},{}],500:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = simplifyPolygon\n\nvar orient = _dereq_(\"robust-orientation\")\nvar sc = _dereq_(\"simplicial-complex\")\n\nfunction errorWeight(base, a, b) {\n  var area = Math.abs(orient(base, a, b))\n  var perim = Math.sqrt(Math.pow(a[0] - b[0], 2) + Math.pow(a[1]-b[1], 2))\n  return area / perim\n}\n\nfunction simplifyPolygon(cells, positions, minArea) {\n\n  var n = positions.length\n  var nc = cells.length\n  var inv = new Array(n)\n  var outv = new Array(n)\n  var weights = new Array(n)\n  var dead = new Array(n)\n  \n  //Initialize tables\n  for(var i=0; i<n; ++i) {\n    inv[i] = outv[i] = -1\n    weights[i] = Infinity\n    dead[i] = false\n  }\n\n  //Compute neighbors\n  for(var i=0; i<nc; ++i) {\n    var c = cells[i]\n    if(c.length !== 2) {\n      throw new Error(\"Input must be a graph\")\n    }\n    var s = c[1]\n    var t = c[0]\n    if(outv[t] !== -1) {\n      outv[t] = -2\n    } else {\n      outv[t] = s\n    }\n    if(inv[s] !== -1) {\n      inv[s] = -2\n    } else {\n      inv[s] = t\n    }\n  }\n\n  //Updates the weight for vertex i\n  function computeWeight(i) {\n    if(dead[i]) {\n      return Infinity\n    }\n    //TODO: Check that the line segment doesn't cross once simplified\n    var s = inv[i]\n    var t = outv[i]\n    if((s<0) || (t<0)) {\n      return Infinity\n    } else {\n      return errorWeight(positions[i], positions[s], positions[t])\n    }\n  }\n\n  //Swaps two nodes on the heap (i,j) are the index of the nodes\n  function heapSwap(i,j) {\n    var a = heap[i]\n    var b = heap[j]\n    heap[i] = b\n    heap[j] = a\n    index[a] = j\n    index[b] = i\n  }\n\n  //Returns the weight of node i on the heap\n  function heapWeight(i) {\n    return weights[heap[i]]\n  }\n\n  function heapParent(i) {\n    if(i & 1) {\n      return (i - 1) >> 1\n    }\n    return (i >> 1) - 1\n  }\n\n  //Bubble element i down the heap\n  function heapDown(i) {\n    var w = heapWeight(i)\n    while(true) {\n      var tw = w\n      var left  = 2*i + 1\n      var right = 2*(i + 1)\n      var next = i\n      if(left < heapCount) {\n        var lw = heapWeight(left)\n        if(lw < tw) {\n          next = left\n          tw = lw\n        }\n      }\n      if(right < heapCount) {\n        var rw = heapWeight(right)\n        if(rw < tw) {\n          next = right\n        }\n      }\n      if(next === i) {\n        return i\n      }\n      heapSwap(i, next)\n      i = next      \n    }\n  }\n\n  //Bubbles element i up the heap\n  function heapUp(i) {\n    var w = heapWeight(i)\n    while(i > 0) {\n      var parent = heapParent(i)\n      if(parent >= 0) {\n        var pw = heapWeight(parent)\n        if(w < pw) {\n          heapSwap(i, parent)\n          i = parent\n          continue\n        }\n      }\n      return i\n    }\n  }\n\n  //Pop minimum element\n  function heapPop() {\n    if(heapCount > 0) {\n      var head = heap[0]\n      heapSwap(0, heapCount-1)\n      heapCount -= 1\n      heapDown(0)\n      return head\n    }\n    return -1\n  }\n\n  //Update heap item i\n  function heapUpdate(i, w) {\n    var a = heap[i]\n    if(weights[a] === w) {\n      return i\n    }\n    weights[a] = -Infinity\n    heapUp(i)\n    heapPop()\n    weights[a] = w\n    heapCount += 1\n    return heapUp(heapCount-1)\n  }\n\n  //Kills a vertex (assume vertex already removed from heap)\n  function kill(i) {\n    if(dead[i]) {\n      return\n    }\n    //Kill vertex\n    dead[i] = true\n    //Fixup topology\n    var s = inv[i]\n    var t = outv[i]\n    if(inv[t] >= 0) {\n      inv[t] = s\n    }\n    if(outv[s] >= 0) {\n      outv[s] = t\n    }\n\n    //Update weights on s and t\n    if(index[s] >= 0) {\n      heapUpdate(index[s], computeWeight(s))\n    }\n    if(index[t] >= 0) {\n      heapUpdate(index[t], computeWeight(t))\n    }\n  }\n\n  //Initialize weights and heap\n  var heap = []\n  var index = new Array(n)\n  for(var i=0; i<n; ++i) {\n    var w = weights[i] = computeWeight(i)\n    if(w < Infinity) {\n      index[i] = heap.length\n      heap.push(i)\n    } else {\n      index[i] = -1\n    }\n  }\n  var heapCount = heap.length\n  for(var i=heapCount>>1; i>=0; --i) {\n    heapDown(i)\n  }\n  \n  //Kill vertices\n  while(true) {\n    var hmin = heapPop()\n    if((hmin < 0) || (weights[hmin] > minArea)) {\n      break\n    }\n    kill(hmin)\n  }\n\n  //Build collapsed vertex table\n  var npositions = []\n  for(var i=0; i<n; ++i) {\n    if(!dead[i]) {\n      index[i] = npositions.length\n      npositions.push(positions[i].slice())\n    }\n  }\n  var nv = npositions.length\n\n  function tortoiseHare(seq, start) {\n    if(seq[start] < 0) {\n      return start\n    }\n    var t = start\n    var h = start\n    do {\n      //Walk two steps with h\n      var nh = seq[h]\n      if(!dead[h] || nh < 0 || nh === h) {\n        break\n      }\n      h = nh\n      nh = seq[h]\n      if(!dead[h] || nh < 0 || nh === h) {\n        break\n      }\n      h = nh\n\n      //Walk one step with t\n      t = seq[t]\n    } while(t !== h)\n    //Compress cycles\n    for(var v=start; v!==h; v = seq[v]) {\n      seq[v] = h\n    }\n    return h\n  }\n\n  var ncells = []\n  cells.forEach(function(c) {\n    var tin = tortoiseHare(inv, c[0])\n    var tout = tortoiseHare(outv, c[1])\n    if(tin >= 0 && tout >= 0 && tin !== tout) {\n      var cin = index[tin]\n      var cout = index[tout]\n      if(cin !== cout) {\n        ncells.push([ cin, cout ])\n      }\n    }\n  })\n\n  //Normalize result\n  sc.unique(sc.normalize(ncells))\n\n  //Return final list of cells\n  return {\n    positions: npositions,\n    edges: ncells\n  }\n}\n},{\"robust-orientation\":486,\"simplicial-complex\":498}],501:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = orderSegments\n\nvar orient = _dereq_(\"robust-orientation\")\n\nfunction horizontalOrder(a, b) {\n  var bl, br\n  if(b[0][0] < b[1][0]) {\n    bl = b[0]\n    br = b[1]\n  } else if(b[0][0] > b[1][0]) {\n    bl = b[1]\n    br = b[0]\n  } else {\n    var alo = Math.min(a[0][1], a[1][1])\n    var ahi = Math.max(a[0][1], a[1][1])\n    var blo = Math.min(b[0][1], b[1][1])\n    var bhi = Math.max(b[0][1], b[1][1])\n    if(ahi < blo) {\n      return ahi - blo\n    }\n    if(alo > bhi) {\n      return alo - bhi\n    }\n    return ahi - bhi\n  }\n  var al, ar\n  if(a[0][1] < a[1][1]) {\n    al = a[0]\n    ar = a[1]\n  } else {\n    al = a[1]\n    ar = a[0]\n  }\n  var d = orient(br, bl, al)\n  if(d) {\n    return d\n  }\n  d = orient(br, bl, ar)\n  if(d) {\n    return d\n  }\n  return ar - br\n}\n\nfunction orderSegments(b, a) {\n  var al, ar\n  if(a[0][0] < a[1][0]) {\n    al = a[0]\n    ar = a[1]\n  } else if(a[0][0] > a[1][0]) {\n    al = a[1]\n    ar = a[0]\n  } else {\n    return horizontalOrder(a, b)\n  }\n  var bl, br\n  if(b[0][0] < b[1][0]) {\n    bl = b[0]\n    br = b[1]\n  } else if(b[0][0] > b[1][0]) {\n    bl = b[1]\n    br = b[0]\n  } else {\n    return -horizontalOrder(b, a)\n  }\n  var d1 = orient(al, ar, br)\n  var d2 = orient(al, ar, bl)\n  if(d1 < 0) {\n    if(d2 <= 0) {\n      return d1\n    }\n  } else if(d1 > 0) {\n    if(d2 >= 0) {\n      return d1\n    }\n  } else if(d2) {\n    return d2\n  }\n  d1 = orient(br, bl, ar)\n  d2 = orient(br, bl, al)\n  if(d1 < 0) {\n    if(d2 <= 0) {\n      return d1\n    }\n  } else if(d1 > 0) {\n    if(d2 >= 0) {\n      return d1\n    }\n  } else if(d2) {\n    return d2\n  }\n  return ar[0] - br[0]\n}\n},{\"robust-orientation\":486}],502:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = createSlabDecomposition\n\nvar bounds = _dereq_(\"binary-search-bounds\")\nvar createRBTree = _dereq_(\"functional-red-black-tree\")\nvar orient = _dereq_(\"robust-orientation\")\nvar orderSegments = _dereq_(\"./lib/order-segments\")\n\nfunction SlabDecomposition(slabs, coordinates, horizontal) {\n  this.slabs = slabs\n  this.coordinates = coordinates\n  this.horizontal = horizontal\n}\n\nvar proto = SlabDecomposition.prototype\n\nfunction compareHorizontal(e, y) {\n  return e.y - y\n}\n\nfunction searchBucket(root, p) {\n  var lastNode = null\n  while(root) {\n    var seg = root.key\n    var l, r\n    if(seg[0][0] < seg[1][0]) {\n      l = seg[0]\n      r = seg[1]\n    } else {\n      l = seg[1]\n      r = seg[0]\n    }\n    var o = orient(l, r, p)\n    if(o < 0) {\n      root = root.left\n    } else if(o > 0) {\n      if(p[0] !== seg[1][0]) {\n        lastNode = root\n        root = root.right\n      } else {\n        var val = searchBucket(root.right, p)\n        if(val) {\n          return val\n        }\n        root = root.left\n      }\n    } else {\n      if(p[0] !== seg[1][0]) {\n        return root\n      } else {\n        var val = searchBucket(root.right, p)\n        if(val) {\n          return val\n        }\n        root = root.left\n      }\n    }\n  }\n  return lastNode\n}\n\nproto.castUp = function(p) {\n  var bucket = bounds.le(this.coordinates, p[0])\n  if(bucket < 0) {\n    return -1\n  }\n  var root = this.slabs[bucket]\n  var hitNode = searchBucket(this.slabs[bucket], p)\n  var lastHit = -1\n  if(hitNode) {\n    lastHit = hitNode.value\n  }\n  //Edge case: need to handle horizontal segments (sucks)\n  if(this.coordinates[bucket] === p[0]) {\n    var lastSegment = null\n    if(hitNode) {\n      lastSegment = hitNode.key\n    }\n    if(bucket > 0) {\n      var otherHitNode = searchBucket(this.slabs[bucket-1], p)\n      if(otherHitNode) {\n        if(lastSegment) {\n          if(orderSegments(otherHitNode.key, lastSegment) > 0) {\n            lastSegment = otherHitNode.key\n            lastHit = otherHitNode.value\n          }\n        } else {\n          lastHit = otherHitNode.value\n          lastSegment = otherHitNode.key\n        }\n      }\n    }\n    var horiz = this.horizontal[bucket]\n    if(horiz.length > 0) {\n      var hbucket = bounds.ge(horiz, p[1], compareHorizontal)\n      if(hbucket < horiz.length) {\n        var e = horiz[hbucket]\n        if(p[1] === e.y) {\n          if(e.closed) {\n            return e.index\n          } else {\n            while(hbucket < horiz.length-1 && horiz[hbucket+1].y === p[1]) {\n              hbucket = hbucket+1\n              e = horiz[hbucket]\n              if(e.closed) {\n                return e.index\n              }\n            }\n            if(e.y === p[1] && !e.start) {\n              hbucket = hbucket+1\n              if(hbucket >= horiz.length) {\n                return lastHit\n              }\n              e = horiz[hbucket]\n            }\n          }\n        }\n        //Check if e is above/below last segment\n        if(e.start) {\n          if(lastSegment) {\n            var o = orient(lastSegment[0], lastSegment[1], [p[0], e.y])\n            if(lastSegment[0][0] > lastSegment[1][0]) {\n              o = -o\n            }\n            if(o > 0) {\n              lastHit = e.index\n            }\n          } else {\n            lastHit = e.index\n          }\n        } else if(e.y !== p[1]) {\n          lastHit = e.index\n        }\n      }\n    }\n  }\n  return lastHit\n}\n\nfunction IntervalSegment(y, index, start, closed) {\n  this.y = y\n  this.index = index\n  this.start = start\n  this.closed = closed\n}\n\nfunction Event(x, segment, create, index) {\n  this.x = x\n  this.segment = segment\n  this.create = create\n  this.index = index\n}\n\n\nfunction createSlabDecomposition(segments) {\n  var numSegments = segments.length\n  var numEvents = 2 * numSegments\n  var events = new Array(numEvents)\n  for(var i=0; i<numSegments; ++i) {\n    var s = segments[i]\n    var f = s[0][0] < s[1][0]\n    events[2*i] = new Event(s[0][0], s, f, i)\n    events[2*i+1] = new Event(s[1][0], s, !f, i)\n  }\n  events.sort(function(a,b) {\n    var d = a.x - b.x\n    if(d) {\n      return d\n    }\n    d = a.create - b.create\n    if(d) {\n      return d\n    }\n    return Math.min(a.segment[0][1], a.segment[1][1]) - Math.min(b.segment[0][1], b.segment[1][1])\n  })\n  var tree = createRBTree(orderSegments)\n  var slabs = []\n  var lines = []\n  var horizontal = []\n  var lastX = -Infinity\n  for(var i=0; i<numEvents; ) {\n    var x = events[i].x\n    var horiz = []\n    while(i < numEvents) {\n      var e = events[i]\n      if(e.x !== x) {\n        break\n      }\n      i += 1\n      if(e.segment[0][0] === e.x && e.segment[1][0] === e.x) {\n        if(e.create) {\n          if(e.segment[0][1] < e.segment[1][1]) {\n            horiz.push(new IntervalSegment(\n                e.segment[0][1],\n                e.index,\n                true,\n                true))\n            horiz.push(new IntervalSegment(\n                e.segment[1][1],\n                e.index,\n                false,\n                false))\n          } else {\n            horiz.push(new IntervalSegment(\n                e.segment[1][1],\n                e.index,\n                true,\n                false))\n            horiz.push(new IntervalSegment(\n                e.segment[0][1],\n                e.index,\n                false,\n                true))\n          }\n        }\n      } else {\n        if(e.create) {\n          tree = tree.insert(e.segment, e.index)\n        } else {\n          tree = tree.remove(e.segment)\n        }\n      }\n    }\n    slabs.push(tree.root)\n    lines.push(x)\n    horizontal.push(horiz)\n  }\n  return new SlabDecomposition(slabs, lines, horizontal)\n}\n},{\"./lib/order-segments\":501,\"binary-search-bounds\":79,\"functional-red-black-tree\":219,\"robust-orientation\":486}],503:[function(_dereq_,module,exports){\n\"use strict\"\n\nvar robustDot = _dereq_(\"robust-dot-product\")\nvar robustSum = _dereq_(\"robust-sum\")\n\nmodule.exports = splitPolygon\nmodule.exports.positive = positive\nmodule.exports.negative = negative\n\nfunction planeT(p, plane) {\n  var r = robustSum(robustDot(p, plane), [plane[plane.length-1]])\n  return r[r.length-1]\n}\n\n\n//Can't do this exactly and emit a floating point result\nfunction lerpW(a, wa, b, wb) {\n  var d = wb - wa\n  var t = -wa / d\n  if(t < 0.0) {\n    t = 0.0\n  } else if(t > 1.0) {\n    t = 1.0\n  }\n  var ti = 1.0 - t\n  var n = a.length\n  var r = new Array(n)\n  for(var i=0; i<n; ++i) {\n    r[i] = t * a[i] + ti * b[i]\n  }\n  return r\n}\n\nfunction splitPolygon(points, plane) {\n  var pos = []\n  var neg = []\n  var a = planeT(points[points.length-1], plane)\n  for(var s=points[points.length-1], t=points[0], i=0; i<points.length; ++i, s=t) {\n    t = points[i]\n    var b = planeT(t, plane)\n    if((a < 0 && b > 0) || (a > 0 && b < 0)) {\n      var p = lerpW(s, b, t, a)\n      pos.push(p)\n      neg.push(p.slice())\n    }\n    if(b < 0) {\n      neg.push(t.slice())\n    } else if(b > 0) {\n      pos.push(t.slice())\n    } else {\n      pos.push(t.slice())\n      neg.push(t.slice())\n    }\n    a = b\n  }\n  return { positive: pos, negative: neg }\n}\n\nfunction positive(points, plane) {\n  var pos = []\n  var a = planeT(points[points.length-1], plane)\n  for(var s=points[points.length-1], t=points[0], i=0; i<points.length; ++i, s=t) {\n    t = points[i]\n    var b = planeT(t, plane)\n    if((a < 0 && b > 0) || (a > 0 && b < 0)) {\n      pos.push(lerpW(s, b, t, a))\n    }\n    if(b >= 0) {\n      pos.push(t.slice())\n    }\n    a = b\n  }\n  return pos\n}\n\nfunction negative(points, plane) {\n  var neg = []\n  var a = planeT(points[points.length-1], plane)\n  for(var s=points[points.length-1], t=points[0], i=0; i<points.length; ++i, s=t) {\n    t = points[i]\n    var b = planeT(t, plane)\n    if((a < 0 && b > 0) || (a > 0 && b < 0)) {\n      neg.push(lerpW(s, b, t, a))\n    }\n    if(b <= 0) {\n      neg.push(t.slice())\n    }\n    a = b\n  }\n  return neg\n}\n},{\"robust-dot-product\":483,\"robust-sum\":491}],504:[function(_dereq_,module,exports){\n/* global window, exports, define */\n\n!function() {\n    'use strict'\n\n    var re = {\n        not_string: /[^s]/,\n        not_bool: /[^t]/,\n        not_type: /[^T]/,\n        not_primitive: /[^v]/,\n        number: /[diefg]/,\n        numeric_arg: /[bcdiefguxX]/,\n        json: /[j]/,\n        not_json: /[^j]/,\n        text: /^[^\\x25]+/,\n        modulo: /^\\x25{2}/,\n        placeholder: /^\\x25(?:([1-9]\\d*)\\$|\\(([^\\)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,\n        key: /^([a-z_][a-z_\\d]*)/i,\n        key_access: /^\\.([a-z_][a-z_\\d]*)/i,\n        index_access: /^\\[(\\d+)\\]/,\n        sign: /^[\\+\\-]/\n    }\n\n    function sprintf(key) {\n        // `arguments` is not an array, but should be fine for this call\n        return sprintf_format(sprintf_parse(key), arguments)\n    }\n\n    function vsprintf(fmt, argv) {\n        return sprintf.apply(null, [fmt].concat(argv || []))\n    }\n\n    function sprintf_format(parse_tree, argv) {\n        var cursor = 1, tree_length = parse_tree.length, arg, output = '', i, k, match, pad, pad_character, pad_length, is_positive, sign\n        for (i = 0; i < tree_length; i++) {\n            if (typeof parse_tree[i] === 'string') {\n                output += parse_tree[i]\n            }\n            else if (Array.isArray(parse_tree[i])) {\n                match = parse_tree[i] // convenience purposes only\n                if (match[2]) { // keyword argument\n                    arg = argv[cursor]\n                    for (k = 0; k < match[2].length; k++) {\n                        if (!arg.hasOwnProperty(match[2][k])) {\n                            throw new Error(sprintf('[sprintf] property \"%s\" does not exist', match[2][k]))\n                        }\n                        arg = arg[match[2][k]]\n                    }\n                }\n                else if (match[1]) { // positional argument (explicit)\n                    arg = argv[match[1]]\n                }\n                else { // positional argument (implicit)\n                    arg = argv[cursor++]\n                }\n\n                if (re.not_type.test(match[8]) && re.not_primitive.test(match[8]) && arg instanceof Function) {\n                    arg = arg()\n                }\n\n                if (re.numeric_arg.test(match[8]) && (typeof arg !== 'number' && isNaN(arg))) {\n                    throw new TypeError(sprintf('[sprintf] expecting number but found %T', arg))\n                }\n\n                if (re.number.test(match[8])) {\n                    is_positive = arg >= 0\n                }\n\n                switch (match[8]) {\n                    case 'b':\n                        arg = parseInt(arg, 10).toString(2)\n                        break\n                    case 'c':\n                        arg = String.fromCharCode(parseInt(arg, 10))\n                        break\n                    case 'd':\n                    case 'i':\n                        arg = parseInt(arg, 10)\n                        break\n                    case 'j':\n                        arg = JSON.stringify(arg, null, match[6] ? parseInt(match[6]) : 0)\n                        break\n                    case 'e':\n                        arg = match[7] ? parseFloat(arg).toExponential(match[7]) : parseFloat(arg).toExponential()\n                        break\n                    case 'f':\n                        arg = match[7] ? parseFloat(arg).toFixed(match[7]) : parseFloat(arg)\n                        break\n                    case 'g':\n                        arg = match[7] ? String(Number(arg.toPrecision(match[7]))) : parseFloat(arg)\n                        break\n                    case 'o':\n                        arg = (parseInt(arg, 10) >>> 0).toString(8)\n                        break\n                    case 's':\n                        arg = String(arg)\n                        arg = (match[7] ? arg.substring(0, match[7]) : arg)\n                        break\n                    case 't':\n                        arg = String(!!arg)\n                        arg = (match[7] ? arg.substring(0, match[7]) : arg)\n                        break\n                    case 'T':\n                        arg = Object.prototype.toString.call(arg).slice(8, -1).toLowerCase()\n                        arg = (match[7] ? arg.substring(0, match[7]) : arg)\n                        break\n                    case 'u':\n                        arg = parseInt(arg, 10) >>> 0\n                        break\n                    case 'v':\n                        arg = arg.valueOf()\n                        arg = (match[7] ? arg.substring(0, match[7]) : arg)\n                        break\n                    case 'x':\n                        arg = (parseInt(arg, 10) >>> 0).toString(16)\n                        break\n                    case 'X':\n                        arg = (parseInt(arg, 10) >>> 0).toString(16).toUpperCase()\n                        break\n                }\n                if (re.json.test(match[8])) {\n                    output += arg\n                }\n                else {\n                    if (re.number.test(match[8]) && (!is_positive || match[3])) {\n                        sign = is_positive ? '+' : '-'\n                        arg = arg.toString().replace(re.sign, '')\n                    }\n                    else {\n                        sign = ''\n                    }\n                    pad_character = match[4] ? match[4] === '0' ? '0' : match[4].charAt(1) : ' '\n                    pad_length = match[6] - (sign + arg).length\n                    pad = match[6] ? (pad_length > 0 ? pad_character.repeat(pad_length) : '') : ''\n                    output += match[5] ? sign + arg + pad : (pad_character === '0' ? sign + pad + arg : pad + sign + arg)\n                }\n            }\n        }\n        return output\n    }\n\n    var sprintf_cache = Object.create(null)\n\n    function sprintf_parse(fmt) {\n        if (sprintf_cache[fmt]) {\n            return sprintf_cache[fmt]\n        }\n\n        var _fmt = fmt, match, parse_tree = [], arg_names = 0\n        while (_fmt) {\n            if ((match = re.text.exec(_fmt)) !== null) {\n                parse_tree.push(match[0])\n            }\n            else if ((match = re.modulo.exec(_fmt)) !== null) {\n                parse_tree.push('%')\n            }\n            else if ((match = re.placeholder.exec(_fmt)) !== null) {\n                if (match[2]) {\n                    arg_names |= 1\n                    var field_list = [], replacement_field = match[2], field_match = []\n                    if ((field_match = re.key.exec(replacement_field)) !== null) {\n                        field_list.push(field_match[1])\n                        while ((replacement_field = replacement_field.substring(field_match[0].length)) !== '') {\n                            if ((field_match = re.key_access.exec(replacement_field)) !== null) {\n                                field_list.push(field_match[1])\n                            }\n                            else if ((field_match = re.index_access.exec(replacement_field)) !== null) {\n                                field_list.push(field_match[1])\n                            }\n                            else {\n                                throw new SyntaxError('[sprintf] failed to parse named argument key')\n                            }\n                        }\n                    }\n                    else {\n                        throw new SyntaxError('[sprintf] failed to parse named argument key')\n                    }\n                    match[2] = field_list\n                }\n                else {\n                    arg_names |= 2\n                }\n                if (arg_names === 3) {\n                    throw new Error('[sprintf] mixing positional and named placeholders is not (yet) supported')\n                }\n                parse_tree.push(match)\n            }\n            else {\n                throw new SyntaxError('[sprintf] unexpected placeholder')\n            }\n            _fmt = _fmt.substring(match[0].length)\n        }\n        return sprintf_cache[fmt] = parse_tree\n    }\n\n    /**\n     * export to either browser or node.js\n     */\n    /* eslint-disable quote-props */\n    if (typeof exports !== 'undefined') {\n        exports['sprintf'] = sprintf\n        exports['vsprintf'] = vsprintf\n    }\n    if (typeof window !== 'undefined') {\n        window['sprintf'] = sprintf\n        window['vsprintf'] = vsprintf\n\n        if (typeof define === 'function' && define['amd']) {\n            define(function() {\n                return {\n                    'sprintf': sprintf,\n                    'vsprintf': vsprintf\n                }\n            })\n        }\n    }\n    /* eslint-enable quote-props */\n}()\n\n},{}],505:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar paren = _dereq_('parenthesis')\r\n\r\nmodule.exports = function splitBy (string, separator, o) {\r\n\tif (string == null) throw Error('First argument should be a string')\r\n\tif (separator == null) throw Error('Separator should be a string or a RegExp')\r\n\r\n\tif (!o) o = {}\r\n\telse if (typeof o === 'string' || Array.isArray(o)) {\r\n\t\to = {ignore: o}\r\n\t}\r\n\r\n\tif (o.escape == null) o.escape = true\r\n\tif (o.ignore == null) o.ignore = ['[]', '()', '{}', '<>', '\"\"', \"''\", '``', '“”', '«»']\r\n\telse {\r\n\t\tif (typeof o.ignore === 'string') {o.ignore = [o.ignore]}\r\n\r\n\t\to.ignore = o.ignore.map(function (pair) {\r\n\t\t\t// '\"' → '\"\"'\r\n\t\t\tif (pair.length === 1) pair = pair + pair\r\n\t\t\treturn pair\r\n\t\t})\r\n\t}\r\n\r\n\tvar tokens = paren.parse(string, {flat: true, brackets: o.ignore})\r\n\tvar str = tokens[0]\r\n\r\n\tvar parts = str.split(separator)\r\n\r\n\t// join parts separated by escape\r\n\tif (o.escape) {\r\n\t\tvar cleanParts = []\r\n\t\tfor (var i = 0; i < parts.length; i++) {\r\n\t\t\tvar prev = parts[i]\r\n\t\t\tvar part = parts[i + 1]\r\n\r\n\t\t\tif (prev[prev.length - 1] === '\\\\' && prev[prev.length - 2] !== '\\\\') {\r\n\t\t\t\tcleanParts.push(prev + separator + part)\r\n\t\t\t\ti++\r\n\t\t\t}\r\n\t\t\telse {\r\n\t\t\t\tcleanParts.push(prev)\r\n\t\t\t}\r\n\t\t}\r\n\t\tparts = cleanParts\r\n\t}\r\n\r\n\t// open parens pack & apply unquotes, if any\r\n\tfor (var i = 0; i < parts.length; i++) {\r\n\t\ttokens[0] = parts[i]\r\n\t\tparts[i] = paren.stringify(tokens, {flat: true})\r\n\t}\r\n\r\n\treturn parts\r\n}\r\n\n},{\"parenthesis\":441}],506:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = stronglyConnectedComponents\n\nfunction stronglyConnectedComponents(adjList) {\n  var numVertices = adjList.length;\n  var index = new Array(numVertices)\n  var lowValue = new Array(numVertices)\n  var active = new Array(numVertices)\n  var child = new Array(numVertices)\n  var scc = new Array(numVertices)\n  var sccLinks = new Array(numVertices)\n  \n  //Initialize tables\n  for(var i=0; i<numVertices; ++i) {\n    index[i] = -1\n    lowValue[i] = 0\n    active[i] = false\n    child[i] = 0\n    scc[i] = -1\n    sccLinks[i] = []\n  }\n\n  // The strongConnect function\n  var count = 0\n  var components = []\n  var sccAdjList = []\n\n  function strongConnect(v) {\n    // To avoid running out of stack space, this emulates the recursive behaviour of the normal algorithm, effectively using T as the call stack.\n    var S = [v], T = [v]\n    index[v] = lowValue[v] = count\n    active[v] = true\n    count += 1\n    while(T.length > 0) {\n      v = T[T.length-1]\n      var e = adjList[v]\n      if (child[v] < e.length) { // If we're not done iterating over the children, first try finishing that.\n        for(var i=child[v]; i<e.length; ++i) { // Start where we left off.\n          var u = e[i]\n          if(index[u] < 0) {\n            index[u] = lowValue[u] = count\n            active[u] = true\n            count += 1\n            S.push(u)\n            T.push(u)\n            break // First recurse, then continue here (with the same child!).\n            // There is a slight change to Tarjan's algorithm here.\n            // Normally, after having recursed, we set lowValue like we do for an active child (although some variants of the algorithm do it slightly differently).\n            // Here, we only do so if the child we recursed on is still active.\n            // The reasoning is that if it is no longer active, it must have had a lowValue equal to its own index, which means that it is necessarily higher than our lowValue.\n          } else if (active[u]) {\n            lowValue[v] = Math.min(lowValue[v], lowValue[u])|0\n          }\n          if (scc[u] >= 0) {\n            // Node v is not yet assigned an scc, but once it is that scc can apparently reach scc[u].\n            sccLinks[v].push(scc[u])\n          }\n        }\n        child[v] = i // Remember where we left off.\n      } else { // If we're done iterating over the children, check whether we have an scc.\n        if(lowValue[v] === index[v]) { // TODO: It /might/ be true that T is always a prefix of S (at this point!!!), and if so, this could be used here.\n          var component = []\n          var links = [], linkCount = 0\n          for(var i=S.length-1; i>=0; --i) {\n            var w = S[i]\n            active[w] = false\n            component.push(w)\n            links.push(sccLinks[w])\n            linkCount += sccLinks[w].length\n            scc[w] = components.length\n            if(w === v) {\n              S.length = i\n              break\n            }\n          }\n          components.push(component)\n          var allLinks = new Array(linkCount)\n          for(var i=0; i<links.length; i++) {\n            for(var j=0; j<links[i].length; j++) {\n              allLinks[--linkCount] = links[i][j]\n            }\n          }\n          sccAdjList.push(allLinks)\n        }\n        T.pop() // Now we're finished exploring this particular node (normally corresponds to the return statement)\n      }\n    }\n  }\n\n  //Run strong connect starting from each vertex\n  for(var i=0; i<numVertices; ++i) {\n    if(index[i] < 0) {\n      strongConnect(i)\n    }\n  }\n  \n  // Compact sccAdjList\n  var newE\n  for(var i=0; i<sccAdjList.length; i++) {\n    var e = sccAdjList[i]\n    if (e.length === 0) continue\n    e.sort(function (a,b) { return a-b; })\n    newE = [e[0]]\n    for(var j=1; j<e.length; j++) {\n      if (e[j] !== e[j-1]) {\n        newE.push(e[j])\n      }\n    }\n    sccAdjList[i] = newE\n  }  \n\n  return {components: components, adjacencyList: sccAdjList}\n}\n\n},{}],507:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = toSuperScript\n\nvar SUPERSCRIPTS = {\n  ' ': ' ',\n  '0': '⁰',\n  '1': '¹',\n  '2': '²',\n  '3': '³',\n  '4': '⁴',\n  '5': '⁵',\n  '6': '⁶',\n  '7': '⁷',\n  '8': '⁸',\n  '9': '⁹',\n  '+': '⁺',\n  '-': '⁻',\n  'a': 'ᵃ',\n  'b': 'ᵇ',\n  'c': 'ᶜ',\n  'd': 'ᵈ',\n  'e': 'ᵉ',\n  'f': 'ᶠ',\n  'g': 'ᵍ',\n  'h': 'ʰ',\n  'i': 'ⁱ',\n  'j': 'ʲ',\n  'k': 'ᵏ',\n  'l': 'ˡ',\n  'm': 'ᵐ',\n  'n': 'ⁿ',\n  'o': 'ᵒ',\n  'p': 'ᵖ',\n  'r': 'ʳ',\n  's': 'ˢ',\n  't': 'ᵗ',\n  'u': 'ᵘ',\n  'v': 'ᵛ',\n  'w': 'ʷ',\n  'x': 'ˣ',\n  'y': 'ʸ',\n  'z': 'ᶻ'\n}\n\nfunction toSuperScript(x) {\n  return x.split('').map(function(c) {\n    if(c in SUPERSCRIPTS) {\n      return SUPERSCRIPTS[c]\n    }\n    return ''\n  }).join('')\n}\n\n},{}],508:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = surfaceNets\n\nvar generateContourExtractor = _dereq_(\"ndarray-extract-contour\")\nvar triangulateCube = _dereq_(\"triangulate-hypercube\")\nvar zeroCrossings = _dereq_(\"zero-crossings\")\n\nfunction buildSurfaceNets(order, dtype) {\n  var dimension = order.length\n  var code = [\"'use strict';\"]\n  var funcName = \"surfaceNets\" + order.join(\"_\") + \"d\" + dtype\n\n  //Contour extraction function\n  code.push(\n    \"var contour=genContour({\",\n      \"order:[\", order.join(), \"],\",\n      \"scalarArguments: 3,\",\n      \"phase:function phaseFunc(p,a,b,c) { return (p > c)|0 },\")\n  if(dtype === \"generic\") {\n    code.push(\"getters:[0],\")\n  }\n\n  //Generate vertex function\n  var cubeArgs = []\n  var extraArgs = []\n  for(var i=0; i<dimension; ++i) {\n    cubeArgs.push(\"d\" + i)\n    extraArgs.push(\"d\" + i)\n  }\n  for(var i=0; i<(1<<dimension); ++i) {\n    cubeArgs.push(\"v\" + i)\n    extraArgs.push(\"v\" + i)\n  }\n  for(var i=0; i<(1<<dimension); ++i) {\n    cubeArgs.push(\"p\" + i)\n    extraArgs.push(\"p\" + i)\n  }\n  cubeArgs.push(\"a\", \"b\", \"c\")\n  extraArgs.push(\"a\", \"c\")\n  code.push(\"vertex:function vertexFunc(\", cubeArgs.join(), \"){\")\n  //Mask args together\n  var maskStr = []\n  for(var i=0; i<(1<<dimension); ++i) {\n    maskStr.push(\"(p\" + i + \"<<\" + i + \")\")\n  }\n  //Generate variables and giganto switch statement\n  code.push(\"var m=(\", maskStr.join(\"+\"), \")|0;if(m===0||m===\", (1<<(1<<dimension))-1, \"){return}\")\n  var extraFuncs = []\n  var currentFunc = []\n  if(1<<(1<<dimension) <= 128) {\n    code.push(\"switch(m){\")\n    currentFunc = code\n  } else {\n    code.push(\"switch(m>>>7){\")\n  }\n  for(var i=0; i<1<<(1<<dimension); ++i) {\n    if(1<<(1<<dimension) > 128) {\n      if((i%128)===0) {\n        if(extraFuncs.length > 0) {\n          currentFunc.push(\"}}\")\n        }\n        var efName = \"vExtra\" + extraFuncs.length\n        code.push(\"case \", (i>>>7), \":\", efName, \"(m&0x7f,\", extraArgs.join(), \");break;\")\n        currentFunc = [\n          \"function \", efName, \"(m,\", extraArgs.join(), \"){switch(m){\"\n        ]\n        extraFuncs.push(currentFunc)\n      }  \n    }\n    currentFunc.push(\"case \", (i&0x7f), \":\")\n    var crossings = new Array(dimension)\n    var denoms = new Array(dimension)\n    var crossingCount = new Array(dimension)\n    var bias = new Array(dimension)\n    var totalCrossings = 0\n    for(var j=0; j<dimension; ++j) {\n      crossings[j] = []\n      denoms[j] = []\n      crossingCount[j] = 0\n      bias[j] = 0\n    }\n    for(var j=0; j<(1<<dimension); ++j) {\n      for(var k=0; k<dimension; ++k) {\n        var u = j ^ (1<<k)\n        if(u > j) {\n          continue\n        }\n        if(!(i&(1<<u)) !== !(i&(1<<j))) {\n          var sign = 1\n          if(i&(1<<u)) {\n            denoms[k].push(\"v\" + u + \"-v\" + j)\n          } else {\n            denoms[k].push(\"v\" + j + \"-v\" + u)\n            sign = -sign\n          }\n          if(sign < 0) {\n            crossings[k].push(\"-v\" + j + \"-v\" + u)\n            crossingCount[k] += 2\n          } else {\n            crossings[k].push(\"v\" + j + \"+v\" + u)\n            crossingCount[k] -= 2            \n          }\n          totalCrossings += 1\n          for(var l=0; l<dimension; ++l) {\n            if(l === k) {\n              continue\n            }\n            if(u&(1<<l)) {\n              bias[l] += 1\n            } else {\n              bias[l] -= 1\n            }\n          }\n        }\n      }\n    }\n    var vertexStr = []\n    for(var k=0; k<dimension; ++k) {\n      if(crossings[k].length === 0) {\n        vertexStr.push(\"d\" + k + \"-0.5\")\n      } else {\n        var cStr = \"\"\n        if(crossingCount[k] < 0) {\n          cStr = crossingCount[k] + \"*c\"\n        } else if(crossingCount[k] > 0) {\n          cStr = \"+\" + crossingCount[k] + \"*c\"\n        }\n        var weight = 0.5 * (crossings[k].length / totalCrossings)\n        var shift = 0.5 + 0.5 * (bias[k] / totalCrossings)\n        vertexStr.push(\"d\" + k + \"-\" + shift + \"-\" + weight + \"*(\" + crossings[k].join(\"+\") + cStr + \")/(\" + denoms[k].join(\"+\") + \")\")\n        \n      }\n    }\n    currentFunc.push(\"a.push([\", vertexStr.join(), \"]);\",\n      \"break;\")\n  }\n  code.push(\"}},\")\n  if(extraFuncs.length > 0) {\n    currentFunc.push(\"}}\")\n  }\n\n  //Create face function\n  var faceArgs = []\n  for(var i=0; i<(1<<(dimension-1)); ++i) {\n    faceArgs.push(\"v\" + i)\n  }\n  faceArgs.push(\"c0\", \"c1\", \"p0\", \"p1\", \"a\", \"b\", \"c\")\n  code.push(\"cell:function cellFunc(\", faceArgs.join(), \"){\")\n\n  var facets = triangulateCube(dimension-1)\n  code.push(\"if(p0){b.push(\",\n    facets.map(function(f) {\n      return \"[\" + f.map(function(v) {\n        return \"v\" + v\n      }) + \"]\"\n    }).join(), \")}else{b.push(\",\n    facets.map(function(f) {\n      var e = f.slice()\n      e.reverse()\n      return \"[\" + e.map(function(v) {\n        return \"v\" + v\n      }) + \"]\"\n    }).join(),\n    \")}}});function \", funcName, \"(array,level){var verts=[],cells=[];contour(array,verts,cells,level);return {positions:verts,cells:cells};} return \", funcName, \";\")\n\n  for(var i=0; i<extraFuncs.length; ++i) {\n    code.push(extraFuncs[i].join(\"\"))\n  }\n\n  //Compile and link\n  var proc = new Function(\"genContour\", code.join(\"\"))\n  return proc(generateContourExtractor)\n}\n\n//1D case: Need to handle specially\nfunction mesh1D(array, level) {\n  var zc = zeroCrossings(array, level)\n  var n = zc.length\n  var npos = new Array(n)\n  var ncel = new Array(n)\n  for(var i=0; i<n; ++i) {\n    npos[i] = [ zc[i] ]\n    ncel[i] = [ i ]\n  }\n  return {\n    positions: npos,\n    cells: ncel\n  }\n}\n\nvar CACHE = {}\n\nfunction surfaceNets(array,level) {\n  if(array.dimension <= 0) {\n    return { positions: [], cells: [] }\n  } else if(array.dimension === 1) {\n    return mesh1D(array, level)\n  }\n  var typesig = array.order.join() + \"-\" + array.dtype\n  var proc = CACHE[typesig]\n  var level = (+level) || 0.0\n  if(!proc) {\n    proc = CACHE[typesig] = buildSurfaceNets(array.order, array.dtype)\n  }\n  return proc(array,level)\n}\n},{\"ndarray-extract-contour\":422,\"triangulate-hypercube\":518,\"zero-crossings\":551}],509:[function(_dereq_,module,exports){\n\"use strict\";\n\nObject.defineProperty(exports, \"__esModule\", {\n  value: true\n});\n\nvar _slicedToArray = function () { function sliceIterator(arr, i) { var _arr = []; var _n = true; var _d = false; var _e = undefined; try { for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) { _arr.push(_s.value); if (i && _arr.length === i) break; } } catch (err) { _d = true; _e = err; } finally { try { if (!_n && _i[\"return\"]) _i[\"return\"](); } finally { if (_d) throw _e; } } return _arr; } return function (arr, i) { if (Array.isArray(arr)) { return arr; } else if (Symbol.iterator in Object(arr)) { return sliceIterator(arr, i); } else { throw new TypeError(\"Invalid attempt to destructure non-iterable instance\"); } }; }();\n\nvar TAU = Math.PI * 2;\n\nvar mapToEllipse = function mapToEllipse(_ref, rx, ry, cosphi, sinphi, centerx, centery) {\n  var x = _ref.x,\n      y = _ref.y;\n\n  x *= rx;\n  y *= ry;\n\n  var xp = cosphi * x - sinphi * y;\n  var yp = sinphi * x + cosphi * y;\n\n  return {\n    x: xp + centerx,\n    y: yp + centery\n  };\n};\n\nvar approxUnitArc = function approxUnitArc(ang1, ang2) {\n  // See http://spencermortensen.com/articles/bezier-circle/ for the derivation\n  // of this constant.\n  var c = 0.551915024494;\n\n  var x1 = Math.cos(ang1);\n  var y1 = Math.sin(ang1);\n  var x2 = Math.cos(ang1 + ang2);\n  var y2 = Math.sin(ang1 + ang2);\n\n  return [{\n    x: x1 - y1 * c,\n    y: y1 + x1 * c\n  }, {\n    x: x2 + y2 * c,\n    y: y2 - x2 * c\n  }, {\n    x: x2,\n    y: y2\n  }];\n};\n\nvar vectorAngle = function vectorAngle(ux, uy, vx, vy) {\n  var sign = ux * vy - uy * vx < 0 ? -1 : 1;\n  var umag = Math.sqrt(ux * ux + uy * uy);\n  var vmag = Math.sqrt(ux * ux + uy * uy);\n  var dot = ux * vx + uy * vy;\n\n  var div = dot / (umag * vmag);\n\n  if (div > 1) {\n    div = 1;\n  }\n\n  if (div < -1) {\n    div = -1;\n  }\n\n  return sign * Math.acos(div);\n};\n\nvar getArcCenter = function getArcCenter(px, py, cx, cy, rx, ry, largeArcFlag, sweepFlag, sinphi, cosphi, pxp, pyp) {\n  var rxsq = Math.pow(rx, 2);\n  var rysq = Math.pow(ry, 2);\n  var pxpsq = Math.pow(pxp, 2);\n  var pypsq = Math.pow(pyp, 2);\n\n  var radicant = rxsq * rysq - rxsq * pypsq - rysq * pxpsq;\n\n  if (radicant < 0) {\n    radicant = 0;\n  }\n\n  radicant /= rxsq * pypsq + rysq * pxpsq;\n  radicant = Math.sqrt(radicant) * (largeArcFlag === sweepFlag ? -1 : 1);\n\n  var centerxp = radicant * rx / ry * pyp;\n  var centeryp = radicant * -ry / rx * pxp;\n\n  var centerx = cosphi * centerxp - sinphi * centeryp + (px + cx) / 2;\n  var centery = sinphi * centerxp + cosphi * centeryp + (py + cy) / 2;\n\n  var vx1 = (pxp - centerxp) / rx;\n  var vy1 = (pyp - centeryp) / ry;\n  var vx2 = (-pxp - centerxp) / rx;\n  var vy2 = (-pyp - centeryp) / ry;\n\n  var ang1 = vectorAngle(1, 0, vx1, vy1);\n  var ang2 = vectorAngle(vx1, vy1, vx2, vy2);\n\n  if (sweepFlag === 0 && ang2 > 0) {\n    ang2 -= TAU;\n  }\n\n  if (sweepFlag === 1 && ang2 < 0) {\n    ang2 += TAU;\n  }\n\n  return [centerx, centery, ang1, ang2];\n};\n\nvar arcToBezier = function arcToBezier(_ref2) {\n  var px = _ref2.px,\n      py = _ref2.py,\n      cx = _ref2.cx,\n      cy = _ref2.cy,\n      rx = _ref2.rx,\n      ry = _ref2.ry,\n      _ref2$xAxisRotation = _ref2.xAxisRotation,\n      xAxisRotation = _ref2$xAxisRotation === undefined ? 0 : _ref2$xAxisRotation,\n      _ref2$largeArcFlag = _ref2.largeArcFlag,\n      largeArcFlag = _ref2$largeArcFlag === undefined ? 0 : _ref2$largeArcFlag,\n      _ref2$sweepFlag = _ref2.sweepFlag,\n      sweepFlag = _ref2$sweepFlag === undefined ? 0 : _ref2$sweepFlag;\n\n  var curves = [];\n\n  if (rx === 0 || ry === 0) {\n    return [];\n  }\n\n  var sinphi = Math.sin(xAxisRotation * TAU / 360);\n  var cosphi = Math.cos(xAxisRotation * TAU / 360);\n\n  var pxp = cosphi * (px - cx) / 2 + sinphi * (py - cy) / 2;\n  var pyp = -sinphi * (px - cx) / 2 + cosphi * (py - cy) / 2;\n\n  if (pxp === 0 && pyp === 0) {\n    return [];\n  }\n\n  rx = Math.abs(rx);\n  ry = Math.abs(ry);\n\n  var lambda = Math.pow(pxp, 2) / Math.pow(rx, 2) + Math.pow(pyp, 2) / Math.pow(ry, 2);\n\n  if (lambda > 1) {\n    rx *= Math.sqrt(lambda);\n    ry *= Math.sqrt(lambda);\n  }\n\n  var _getArcCenter = getArcCenter(px, py, cx, cy, rx, ry, largeArcFlag, sweepFlag, sinphi, cosphi, pxp, pyp),\n      _getArcCenter2 = _slicedToArray(_getArcCenter, 4),\n      centerx = _getArcCenter2[0],\n      centery = _getArcCenter2[1],\n      ang1 = _getArcCenter2[2],\n      ang2 = _getArcCenter2[3];\n\n  // If 'ang2' == 90.0000000001, then `ratio` will evaluate to\n  // 1.0000000001. This causes `segments` to be greater than one, which is an\n  // unecessary split, and adds extra points to the bezier curve. To alleviate\n  // this issue, we round to 1.0 when the ratio is close to 1.0.\n\n\n  var ratio = Math.abs(ang2) / (TAU / 4);\n  if (Math.abs(1.0 - ratio) < 0.0000001) {\n    ratio = 1.0;\n  }\n\n  var segments = Math.max(Math.ceil(ratio), 1);\n\n  ang2 /= segments;\n\n  for (var i = 0; i < segments; i++) {\n    curves.push(approxUnitArc(ang1, ang2));\n    ang1 += ang2;\n  }\n\n  return curves.map(function (curve) {\n    var _mapToEllipse = mapToEllipse(curve[0], rx, ry, cosphi, sinphi, centerx, centery),\n        x1 = _mapToEllipse.x,\n        y1 = _mapToEllipse.y;\n\n    var _mapToEllipse2 = mapToEllipse(curve[1], rx, ry, cosphi, sinphi, centerx, centery),\n        x2 = _mapToEllipse2.x,\n        y2 = _mapToEllipse2.y;\n\n    var _mapToEllipse3 = mapToEllipse(curve[2], rx, ry, cosphi, sinphi, centerx, centery),\n        x = _mapToEllipse3.x,\n        y = _mapToEllipse3.y;\n\n    return { x1: x1, y1: y1, x2: x2, y2: y2, x: x, y: y };\n  });\n};\n\nexports.default = arcToBezier;\nmodule.exports = exports.default;\n},{}],510:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar parse = _dereq_('parse-svg-path')\r\nvar abs = _dereq_('abs-svg-path')\r\nvar normalize = _dereq_('normalize-svg-path')\r\nvar isSvgPath = _dereq_('is-svg-path')\r\nvar assert = _dereq_('assert')\r\n\r\nmodule.exports = pathBounds\r\n\r\n\r\nfunction pathBounds(path) {\r\n  // ES6 string tpl call\r\n  if (Array.isArray(path) && path.length === 1 && typeof path[0] === 'string') path = path[0]\r\n\r\n  // svg path string\r\n  if (typeof path === 'string') {\r\n    assert(isSvgPath(path), 'String is not an SVG path.')\r\n    path = parse(path)\r\n  }\r\n\r\n  assert(Array.isArray(path), 'Argument should be a string or an array of path segments.')\r\n\r\n  path = abs(path)\r\n  path = normalize(path)\r\n\r\n  if (!path.length) return [0, 0, 0, 0]\r\n\r\n  var bounds = [Infinity, Infinity, -Infinity, -Infinity]\r\n\r\n  for (var i = 0, l = path.length; i < l; i++) {\r\n    var points = path[i].slice(1)\r\n\r\n    for (var j = 0; j < points.length; j += 2) {\r\n      if (points[j + 0] < bounds[0]) bounds[0] = points[j + 0]\r\n      if (points[j + 1] < bounds[1]) bounds[1] = points[j + 1]\r\n      if (points[j + 0] > bounds[2]) bounds[2] = points[j + 0]\r\n      if (points[j + 1] > bounds[3]) bounds[3] = points[j + 1]\r\n    }\r\n  }\r\n\r\n  return bounds\r\n}\r\n\n},{\"abs-svg-path\":48,\"assert\":56,\"is-svg-path\":407,\"normalize-svg-path\":511,\"parse-svg-path\":443}],511:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nmodule.exports = normalize\r\n\r\nvar arcToCurve = _dereq_('svg-arc-to-cubic-bezier')\r\n\r\nfunction normalize(path){\r\n  // init state\r\n  var prev\r\n  var result = []\r\n  var bezierX = 0\r\n  var bezierY = 0\r\n  var startX = 0\r\n  var startY = 0\r\n  var quadX = null\r\n  var quadY = null\r\n  var x = 0\r\n  var y = 0\r\n\r\n  for (var i = 0, len = path.length; i < len; i++) {\r\n    var seg = path[i]\r\n    var command = seg[0]\r\n\r\n    switch (command) {\r\n      case 'M':\r\n        startX = seg[1]\r\n        startY = seg[2]\r\n        break\r\n      case 'A':\r\n        var curves = arcToCurve({\r\n          px: x,\r\n          py: y,\r\n          cx: seg[6],\r\n          cy:  seg[7],\r\n          rx: seg[1],\r\n          ry: seg[2],\r\n          xAxisRotation: seg[3],\r\n          largeArcFlag: seg[4],\r\n          sweepFlag: seg[5]\r\n        })\r\n\r\n        // null-curves\r\n        if (!curves.length) continue\r\n\r\n        for (var j = 0, c; j < curves.length; j++) {\r\n          c = curves[j]\r\n          seg = ['C', c.x1, c.y1, c.x2, c.y2, c.x, c.y]\r\n          if (j < curves.length - 1) result.push(seg)\r\n        }\r\n\r\n        break\r\n      case 'S':\r\n        // default control point\r\n        var cx = x\r\n        var cy = y\r\n        if (prev == 'C' || prev == 'S') {\r\n          cx += cx - bezierX // reflect the previous command's control\r\n          cy += cy - bezierY // point relative to the current point\r\n        }\r\n        seg = ['C', cx, cy, seg[1], seg[2], seg[3], seg[4]]\r\n        break\r\n      case 'T':\r\n        if (prev == 'Q' || prev == 'T') {\r\n          quadX = x * 2 - quadX // as with 'S' reflect previous control point\r\n          quadY = y * 2 - quadY\r\n        } else {\r\n          quadX = x\r\n          quadY = y\r\n        }\r\n        seg = quadratic(x, y, quadX, quadY, seg[1], seg[2])\r\n        break\r\n      case 'Q':\r\n        quadX = seg[1]\r\n        quadY = seg[2]\r\n        seg = quadratic(x, y, seg[1], seg[2], seg[3], seg[4])\r\n        break\r\n      case 'L':\r\n        seg = line(x, y, seg[1], seg[2])\r\n        break\r\n      case 'H':\r\n        seg = line(x, y, seg[1], y)\r\n        break\r\n      case 'V':\r\n        seg = line(x, y, x, seg[1])\r\n        break\r\n      case 'Z':\r\n        seg = line(x, y, startX, startY)\r\n        break\r\n    }\r\n\r\n    // update state\r\n    prev = command\r\n    x = seg[seg.length - 2]\r\n    y = seg[seg.length - 1]\r\n    if (seg.length > 4) {\r\n      bezierX = seg[seg.length - 4]\r\n      bezierY = seg[seg.length - 3]\r\n    } else {\r\n      bezierX = x\r\n      bezierY = y\r\n    }\r\n    result.push(seg)\r\n  }\r\n\r\n  return result\r\n}\r\n\r\nfunction line(x1, y1, x2, y2){\r\n  return ['C', x1, y1, x2, y2, x2, y2]\r\n}\r\n\r\nfunction quadratic(x1, y1, cx, cy, x2, y2){\r\n  return [\r\n    'C',\r\n    x1/3 + (2/3) * cx,\r\n    y1/3 + (2/3) * cy,\r\n    x2/3 + (2/3) * cx,\r\n    y2/3 + (2/3) * cy,\r\n    x2,\r\n    y2\r\n  ]\r\n}\r\n\n},{\"svg-arc-to-cubic-bezier\":509}],512:[function(_dereq_,module,exports){\n'use strict'\r\n\r\nvar pathBounds = _dereq_('svg-path-bounds')\r\nvar parsePath = _dereq_('parse-svg-path')\r\nvar drawPath = _dereq_('draw-svg-path')\r\nvar isSvgPath = _dereq_('is-svg-path')\r\nvar bitmapSdf = _dereq_('bitmap-sdf')\r\n\r\nvar canvas = document.createElement('canvas')\r\nvar ctx = canvas.getContext('2d')\r\n\r\n\r\nmodule.exports = pathSdf\r\n\r\n\r\nfunction pathSdf (path, options) {\r\n\tif (!isSvgPath(path)) throw Error('Argument should be valid svg path string')\r\n\r\n\tif (!options) options = {}\r\n\r\n\tvar w, h\r\n\tif (options.shape) {\r\n\t\tw = options.shape[0]\r\n\t\th = options.shape[1]\r\n\t}\r\n\telse {\r\n\t\tw = canvas.width = options.w || options.width || 200\r\n\t\th = canvas.height = options.h || options.height || 200\r\n\t}\r\n\tvar size = Math.min(w, h)\r\n\r\n\tvar stroke = options.stroke || 0\r\n\r\n\tvar viewbox = options.viewbox || options.viewBox || pathBounds(path)\r\n\tvar scale = [w / (viewbox[2] - viewbox[0]), h / (viewbox[3] - viewbox[1])]\r\n\tvar maxScale = Math.min(scale[0] || 0, scale[1] || 0) / 2\r\n\r\n\t//clear ctx\r\n\tctx.fillStyle = 'black'\r\n\tctx.fillRect(0, 0, w, h)\r\n\r\n\tctx.fillStyle = 'white'\r\n\r\n\tif (stroke)\t{\r\n\t\tif (typeof stroke != 'number') stroke = 1\r\n\t\tif (stroke > 0) {\r\n\t\t\tctx.strokeStyle = 'white'\r\n\t\t}\r\n\t\telse {\r\n\t\t\tctx.strokeStyle = 'black'\r\n\t\t}\r\n\r\n\t\tctx.lineWidth = Math.abs(stroke)\r\n\t}\r\n\r\n\tctx.translate(w * .5, h * .5)\r\n\tctx.scale(maxScale, maxScale)\r\n\r\n\t//if canvas svg paths api is available\r\n\tif (isPath2DSupported()) {\r\n\t\tvar path2d = new Path2D(path)\r\n\t\tctx.fill(path2d)\r\n\t\tstroke && ctx.stroke(path2d)\r\n\t}\r\n\t//fallback to bezier-curves\r\n\telse {\r\n\t\tvar segments = parsePath(path)\r\n\t\tdrawPath(ctx, segments)\r\n\t\tctx.fill()\r\n\t\tstroke && ctx.stroke()\r\n\t}\r\n\r\n\tctx.setTransform(1, 0, 0, 1, 0, 0);\r\n\r\n\tvar data = bitmapSdf(ctx, {\r\n\t\tcutoff: options.cutoff != null ? options.cutoff : .5,\r\n\t\tradius: options.radius != null ? options.radius : size * .5\r\n\t})\r\n\r\n\treturn data\r\n}\r\n\r\nfunction isPath2DSupported () {\r\n\tvar ctx = document.createElement('canvas').getContext('2d')\r\n\tctx.canvas.width = ctx.canvas.height = 1\r\n\r\n\tvar path = new Path2D('M0,0h1v1h-1v-1Z')\r\n\r\n\tctx.fillStyle = 'black'\r\n\tctx.fill(path)\r\n\r\n\tvar idata = ctx.getImageData(0,0,1,1)\r\n\r\n\treturn idata && idata.data && idata.data[3] === 255\r\n}\r\n\n},{\"bitmap-sdf\":81,\"draw-svg-path\":153,\"is-svg-path\":407,\"parse-svg-path\":443,\"svg-path-bounds\":510}],513:[function(_dereq_,module,exports){\n(function (process){\n'use strict'\n\nmodule.exports = textGet\n\nvar vectorizeText = _dereq_('vectorize-text')\n\nvar globals = window || process.global || {}\nvar __TEXT_CACHE  = globals.__TEXT_CACHE || {}\nglobals.__TEXT_CACHE = {}\n\nfunction unwrap(mesh) {\n  var cells     = mesh.cells\n  var positions = mesh.positions\n  var data      = new Float32Array(cells.length * 6)\n  var ptr       = 0\n  var shapeX    = 0\n  for(var i=0; i<cells.length; ++i) {\n    var tri = cells[i]\n    for(var j=0; j<3; ++j) {\n      var point = positions[tri[j]]\n      data[ptr++] = point[0]\n      data[ptr++] = point[1] + 1.4\n      shapeX      = Math.max(point[0], shapeX)\n    }\n  }\n  return {\n    data:  data,\n    shape: shapeX\n  }\n}\n\nfunction textGet(font, text, opts) {\n  var opts = opts || {}\n  var fontcache = __TEXT_CACHE[font]\n   if(!fontcache) {\n     fontcache = __TEXT_CACHE[font] = {\n       ' ': {\n         data:   new Float32Array(0),\n         shape: 0.2\n       }\n     }\n   }\n   var mesh = fontcache[text]\n   if(!mesh) {\n     if(text.length <= 1 || !/\\d/.test(text)) {\n       mesh = fontcache[text] = unwrap(vectorizeText(text, {\n         triangles:     true,\n         font:          font,\n         textAlign:     opts.textAlign || 'left',\n         textBaseline:  'alphabetic'\n       }))\n     } else {\n       var parts = text.split(/(\\d|\\s)/)\n       var buffer = new Array(parts.length)\n       var bufferSize = 0\n       var shapeX = 0\n       for(var i=0; i<parts.length; ++i) {\n         buffer[i] = textGet(font, parts[i])\n         bufferSize += buffer[i].data.length\n         shapeX += buffer[i].shape\n         if(i>0) {\n           shapeX += 0.02\n         }\n       }\n\n       var data = new Float32Array(bufferSize)\n       var ptr     = 0\n       var xOffset = -0.5 * shapeX\n       for(var i=0; i<buffer.length; ++i) {\n         var bdata = buffer[i].data\n         for(var j=0; j<bdata.length; j+=2) {\n           data[ptr++] = bdata[j] + xOffset\n           data[ptr++] = bdata[j+1]\n         }\n         xOffset += buffer[i].shape + 0.02\n       }\n\n       mesh = fontcache[text] = {\n         data:  data,\n         shape: shapeX\n       }\n     }\n   }\n\n   return mesh\n}\n\n}).call(this,_dereq_('_process'))\n},{\"_process\":465,\"vectorize-text\":527}],514:[function(_dereq_,module,exports){\n// TinyColor v1.4.1\n// https://github.com/bgrins/TinyColor\n// Brian Grinstead, MIT License\n\n(function(Math) {\n\nvar trimLeft = /^\\s+/,\n    trimRight = /\\s+$/,\n    tinyCounter = 0,\n    mathRound = Math.round,\n    mathMin = Math.min,\n    mathMax = Math.max,\n    mathRandom = Math.random;\n\nfunction tinycolor (color, opts) {\n\n    color = (color) ? color : '';\n    opts = opts || { };\n\n    // If input is already a tinycolor, return itself\n    if (color instanceof tinycolor) {\n       return color;\n    }\n    // If we are called as a function, call using new instead\n    if (!(this instanceof tinycolor)) {\n        return new tinycolor(color, opts);\n    }\n\n    var rgb = inputToRGB(color);\n    this._originalInput = color,\n    this._r = rgb.r,\n    this._g = rgb.g,\n    this._b = rgb.b,\n    this._a = rgb.a,\n    this._roundA = mathRound(100*this._a) / 100,\n    this._format = opts.format || rgb.format;\n    this._gradientType = opts.gradientType;\n\n    // Don't let the range of [0,255] come back in [0,1].\n    // Potentially lose a little bit of precision here, but will fix issues where\n    // .5 gets interpreted as half of the total, instead of half of 1\n    // If it was supposed to be 128, this was already taken care of by `inputToRgb`\n    if (this._r < 1) { this._r = mathRound(this._r); }\n    if (this._g < 1) { this._g = mathRound(this._g); }\n    if (this._b < 1) { this._b = mathRound(this._b); }\n\n    this._ok = rgb.ok;\n    this._tc_id = tinyCounter++;\n}\n\ntinycolor.prototype = {\n    isDark: function() {\n        return this.getBrightness() < 128;\n    },\n    isLight: function() {\n        return !this.isDark();\n    },\n    isValid: function() {\n        return this._ok;\n    },\n    getOriginalInput: function() {\n      return this._originalInput;\n    },\n    getFormat: function() {\n        return this._format;\n    },\n    getAlpha: function() {\n        return this._a;\n    },\n    getBrightness: function() {\n        //http://www.w3.org/TR/AERT#color-contrast\n        var rgb = this.toRgb();\n        return (rgb.r * 299 + rgb.g * 587 + rgb.b * 114) / 1000;\n    },\n    getLuminance: function() {\n        //http://www.w3.org/TR/2008/REC-WCAG20-20081211/#relativeluminancedef\n        var rgb = this.toRgb();\n        var RsRGB, GsRGB, BsRGB, R, G, B;\n        RsRGB = rgb.r/255;\n        GsRGB = rgb.g/255;\n        BsRGB = rgb.b/255;\n\n        if (RsRGB <= 0.03928) {R = RsRGB / 12.92;} else {R = Math.pow(((RsRGB + 0.055) / 1.055), 2.4);}\n        if (GsRGB <= 0.03928) {G = GsRGB / 12.92;} else {G = Math.pow(((GsRGB + 0.055) / 1.055), 2.4);}\n        if (BsRGB <= 0.03928) {B = BsRGB / 12.92;} else {B = Math.pow(((BsRGB + 0.055) / 1.055), 2.4);}\n        return (0.2126 * R) + (0.7152 * G) + (0.0722 * B);\n    },\n    setAlpha: function(value) {\n        this._a = boundAlpha(value);\n        this._roundA = mathRound(100*this._a) / 100;\n        return this;\n    },\n    toHsv: function() {\n        var hsv = rgbToHsv(this._r, this._g, this._b);\n        return { h: hsv.h * 360, s: hsv.s, v: hsv.v, a: this._a };\n    },\n    toHsvString: function() {\n        var hsv = rgbToHsv(this._r, this._g, this._b);\n        var h = mathRound(hsv.h * 360), s = mathRound(hsv.s * 100), v = mathRound(hsv.v * 100);\n        return (this._a == 1) ?\n          \"hsv(\"  + h + \", \" + s + \"%, \" + v + \"%)\" :\n          \"hsva(\" + h + \", \" + s + \"%, \" + v + \"%, \"+ this._roundA + \")\";\n    },\n    toHsl: function() {\n        var hsl = rgbToHsl(this._r, this._g, this._b);\n        return { h: hsl.h * 360, s: hsl.s, l: hsl.l, a: this._a };\n    },\n    toHslString: function() {\n        var hsl = rgbToHsl(this._r, this._g, this._b);\n        var h = mathRound(hsl.h * 360), s = mathRound(hsl.s * 100), l = mathRound(hsl.l * 100);\n        return (this._a == 1) ?\n          \"hsl(\"  + h + \", \" + s + \"%, \" + l + \"%)\" :\n          \"hsla(\" + h + \", \" + s + \"%, \" + l + \"%, \"+ this._roundA + \")\";\n    },\n    toHex: function(allow3Char) {\n        return rgbToHex(this._r, this._g, this._b, allow3Char);\n    },\n    toHexString: function(allow3Char) {\n        return '#' + this.toHex(allow3Char);\n    },\n    toHex8: function(allow4Char) {\n        return rgbaToHex(this._r, this._g, this._b, this._a, allow4Char);\n    },\n    toHex8String: function(allow4Char) {\n        return '#' + this.toHex8(allow4Char);\n    },\n    toRgb: function() {\n        return { r: mathRound(this._r), g: mathRound(this._g), b: mathRound(this._b), a: this._a };\n    },\n    toRgbString: function() {\n        return (this._a == 1) ?\n          \"rgb(\"  + mathRound(this._r) + \", \" + mathRound(this._g) + \", \" + mathRound(this._b) + \")\" :\n          \"rgba(\" + mathRound(this._r) + \", \" + mathRound(this._g) + \", \" + mathRound(this._b) + \", \" + this._roundA + \")\";\n    },\n    toPercentageRgb: function() {\n        return { r: mathRound(bound01(this._r, 255) * 100) + \"%\", g: mathRound(bound01(this._g, 255) * 100) + \"%\", b: mathRound(bound01(this._b, 255) * 100) + \"%\", a: this._a };\n    },\n    toPercentageRgbString: function() {\n        return (this._a == 1) ?\n          \"rgb(\"  + mathRound(bound01(this._r, 255) * 100) + \"%, \" + mathRound(bound01(this._g, 255) * 100) + \"%, \" + mathRound(bound01(this._b, 255) * 100) + \"%)\" :\n          \"rgba(\" + mathRound(bound01(this._r, 255) * 100) + \"%, \" + mathRound(bound01(this._g, 255) * 100) + \"%, \" + mathRound(bound01(this._b, 255) * 100) + \"%, \" + this._roundA + \")\";\n    },\n    toName: function() {\n        if (this._a === 0) {\n            return \"transparent\";\n        }\n\n        if (this._a < 1) {\n            return false;\n        }\n\n        return hexNames[rgbToHex(this._r, this._g, this._b, true)] || false;\n    },\n    toFilter: function(secondColor) {\n        var hex8String = '#' + rgbaToArgbHex(this._r, this._g, this._b, this._a);\n        var secondHex8String = hex8String;\n        var gradientType = this._gradientType ? \"GradientType = 1, \" : \"\";\n\n        if (secondColor) {\n            var s = tinycolor(secondColor);\n            secondHex8String = '#' + rgbaToArgbHex(s._r, s._g, s._b, s._a);\n        }\n\n        return \"progid:DXImageTransform.Microsoft.gradient(\"+gradientType+\"startColorstr=\"+hex8String+\",endColorstr=\"+secondHex8String+\")\";\n    },\n    toString: function(format) {\n        var formatSet = !!format;\n        format = format || this._format;\n\n        var formattedString = false;\n        var hasAlpha = this._a < 1 && this._a >= 0;\n        var needsAlphaFormat = !formatSet && hasAlpha && (format === \"hex\" || format === \"hex6\" || format === \"hex3\" || format === \"hex4\" || format === \"hex8\" || format === \"name\");\n\n        if (needsAlphaFormat) {\n            // Special case for \"transparent\", all other non-alpha formats\n            // will return rgba when there is transparency.\n            if (format === \"name\" && this._a === 0) {\n                return this.toName();\n            }\n            return this.toRgbString();\n        }\n        if (format === \"rgb\") {\n            formattedString = this.toRgbString();\n        }\n        if (format === \"prgb\") {\n            formattedString = this.toPercentageRgbString();\n        }\n        if (format === \"hex\" || format === \"hex6\") {\n            formattedString = this.toHexString();\n        }\n        if (format === \"hex3\") {\n            formattedString = this.toHexString(true);\n        }\n        if (format === \"hex4\") {\n            formattedString = this.toHex8String(true);\n        }\n        if (format === \"hex8\") {\n            formattedString = this.toHex8String();\n        }\n        if (format === \"name\") {\n            formattedString = this.toName();\n        }\n        if (format === \"hsl\") {\n            formattedString = this.toHslString();\n        }\n        if (format === \"hsv\") {\n            formattedString = this.toHsvString();\n        }\n\n        return formattedString || this.toHexString();\n    },\n    clone: function() {\n        return tinycolor(this.toString());\n    },\n\n    _applyModification: function(fn, args) {\n        var color = fn.apply(null, [this].concat([].slice.call(args)));\n        this._r = color._r;\n        this._g = color._g;\n        this._b = color._b;\n        this.setAlpha(color._a);\n        return this;\n    },\n    lighten: function() {\n        return this._applyModification(lighten, arguments);\n    },\n    brighten: function() {\n        return this._applyModification(brighten, arguments);\n    },\n    darken: function() {\n        return this._applyModification(darken, arguments);\n    },\n    desaturate: function() {\n        return this._applyModification(desaturate, arguments);\n    },\n    saturate: function() {\n        return this._applyModification(saturate, arguments);\n    },\n    greyscale: function() {\n        return this._applyModification(greyscale, arguments);\n    },\n    spin: function() {\n        return this._applyModification(spin, arguments);\n    },\n\n    _applyCombination: function(fn, args) {\n        return fn.apply(null, [this].concat([].slice.call(args)));\n    },\n    analogous: function() {\n        return this._applyCombination(analogous, arguments);\n    },\n    complement: function() {\n        return this._applyCombination(complement, arguments);\n    },\n    monochromatic: function() {\n        return this._applyCombination(monochromatic, arguments);\n    },\n    splitcomplement: function() {\n        return this._applyCombination(splitcomplement, arguments);\n    },\n    triad: function() {\n        return this._applyCombination(triad, arguments);\n    },\n    tetrad: function() {\n        return this._applyCombination(tetrad, arguments);\n    }\n};\n\n// If input is an object, force 1 into \"1.0\" to handle ratios properly\n// String input requires \"1.0\" as input, so 1 will be treated as 1\ntinycolor.fromRatio = function(color, opts) {\n    if (typeof color == \"object\") {\n        var newColor = {};\n        for (var i in color) {\n            if (color.hasOwnProperty(i)) {\n                if (i === \"a\") {\n                    newColor[i] = color[i];\n                }\n                else {\n                    newColor[i] = convertToPercentage(color[i]);\n                }\n            }\n        }\n        color = newColor;\n    }\n\n    return tinycolor(color, opts);\n};\n\n// Given a string or object, convert that input to RGB\n// Possible string inputs:\n//\n//     \"red\"\n//     \"#f00\" or \"f00\"\n//     \"#ff0000\" or \"ff0000\"\n//     \"#ff000000\" or \"ff000000\"\n//     \"rgb 255 0 0\" or \"rgb (255, 0, 0)\"\n//     \"rgb 1.0 0 0\" or \"rgb (1, 0, 0)\"\n//     \"rgba (255, 0, 0, 1)\" or \"rgba 255, 0, 0, 1\"\n//     \"rgba (1.0, 0, 0, 1)\" or \"rgba 1.0, 0, 0, 1\"\n//     \"hsl(0, 100%, 50%)\" or \"hsl 0 100% 50%\"\n//     \"hsla(0, 100%, 50%, 1)\" or \"hsla 0 100% 50%, 1\"\n//     \"hsv(0, 100%, 100%)\" or \"hsv 0 100% 100%\"\n//\nfunction inputToRGB(color) {\n\n    var rgb = { r: 0, g: 0, b: 0 };\n    var a = 1;\n    var s = null;\n    var v = null;\n    var l = null;\n    var ok = false;\n    var format = false;\n\n    if (typeof color == \"string\") {\n        color = stringInputToObject(color);\n    }\n\n    if (typeof color == \"object\") {\n        if (isValidCSSUnit(color.r) && isValidCSSUnit(color.g) && isValidCSSUnit(color.b)) {\n            rgb = rgbToRgb(color.r, color.g, color.b);\n            ok = true;\n            format = String(color.r).substr(-1) === \"%\" ? \"prgb\" : \"rgb\";\n        }\n        else if (isValidCSSUnit(color.h) && isValidCSSUnit(color.s) && isValidCSSUnit(color.v)) {\n            s = convertToPercentage(color.s);\n            v = convertToPercentage(color.v);\n            rgb = hsvToRgb(color.h, s, v);\n            ok = true;\n            format = \"hsv\";\n        }\n        else if (isValidCSSUnit(color.h) && isValidCSSUnit(color.s) && isValidCSSUnit(color.l)) {\n            s = convertToPercentage(color.s);\n            l = convertToPercentage(color.l);\n            rgb = hslToRgb(color.h, s, l);\n            ok = true;\n            format = \"hsl\";\n        }\n\n        if (color.hasOwnProperty(\"a\")) {\n            a = color.a;\n        }\n    }\n\n    a = boundAlpha(a);\n\n    return {\n        ok: ok,\n        format: color.format || format,\n        r: mathMin(255, mathMax(rgb.r, 0)),\n        g: mathMin(255, mathMax(rgb.g, 0)),\n        b: mathMin(255, mathMax(rgb.b, 0)),\n        a: a\n    };\n}\n\n\n// Conversion Functions\n// --------------------\n\n// `rgbToHsl`, `rgbToHsv`, `hslToRgb`, `hsvToRgb` modified from:\n// <http://mjijackson.com/2008/02/rgb-to-hsl-and-rgb-to-hsv-color-model-conversion-algorithms-in-javascript>\n\n// `rgbToRgb`\n// Handle bounds / percentage checking to conform to CSS color spec\n// <http://www.w3.org/TR/css3-color/>\n// *Assumes:* r, g, b in [0, 255] or [0, 1]\n// *Returns:* { r, g, b } in [0, 255]\nfunction rgbToRgb(r, g, b){\n    return {\n        r: bound01(r, 255) * 255,\n        g: bound01(g, 255) * 255,\n        b: bound01(b, 255) * 255\n    };\n}\n\n// `rgbToHsl`\n// Converts an RGB color value to HSL.\n// *Assumes:* r, g, and b are contained in [0, 255] or [0, 1]\n// *Returns:* { h, s, l } in [0,1]\nfunction rgbToHsl(r, g, b) {\n\n    r = bound01(r, 255);\n    g = bound01(g, 255);\n    b = bound01(b, 255);\n\n    var max = mathMax(r, g, b), min = mathMin(r, g, b);\n    var h, s, l = (max + min) / 2;\n\n    if(max == min) {\n        h = s = 0; // achromatic\n    }\n    else {\n        var d = max - min;\n        s = l > 0.5 ? d / (2 - max - min) : d / (max + min);\n        switch(max) {\n            case r: h = (g - b) / d + (g < b ? 6 : 0); break;\n            case g: h = (b - r) / d + 2; break;\n            case b: h = (r - g) / d + 4; break;\n        }\n\n        h /= 6;\n    }\n\n    return { h: h, s: s, l: l };\n}\n\n// `hslToRgb`\n// Converts an HSL color value to RGB.\n// *Assumes:* h is contained in [0, 1] or [0, 360] and s and l are contained [0, 1] or [0, 100]\n// *Returns:* { r, g, b } in the set [0, 255]\nfunction hslToRgb(h, s, l) {\n    var r, g, b;\n\n    h = bound01(h, 360);\n    s = bound01(s, 100);\n    l = bound01(l, 100);\n\n    function hue2rgb(p, q, t) {\n        if(t < 0) t += 1;\n        if(t > 1) t -= 1;\n        if(t < 1/6) return p + (q - p) * 6 * t;\n        if(t < 1/2) return q;\n        if(t < 2/3) return p + (q - p) * (2/3 - t) * 6;\n        return p;\n    }\n\n    if(s === 0) {\n        r = g = b = l; // achromatic\n    }\n    else {\n        var q = l < 0.5 ? l * (1 + s) : l + s - l * s;\n        var p = 2 * l - q;\n        r = hue2rgb(p, q, h + 1/3);\n        g = hue2rgb(p, q, h);\n        b = hue2rgb(p, q, h - 1/3);\n    }\n\n    return { r: r * 255, g: g * 255, b: b * 255 };\n}\n\n// `rgbToHsv`\n// Converts an RGB color value to HSV\n// *Assumes:* r, g, and b are contained in the set [0, 255] or [0, 1]\n// *Returns:* { h, s, v } in [0,1]\nfunction rgbToHsv(r, g, b) {\n\n    r = bound01(r, 255);\n    g = bound01(g, 255);\n    b = bound01(b, 255);\n\n    var max = mathMax(r, g, b), min = mathMin(r, g, b);\n    var h, s, v = max;\n\n    var d = max - min;\n    s = max === 0 ? 0 : d / max;\n\n    if(max == min) {\n        h = 0; // achromatic\n    }\n    else {\n        switch(max) {\n            case r: h = (g - b) / d + (g < b ? 6 : 0); break;\n            case g: h = (b - r) / d + 2; break;\n            case b: h = (r - g) / d + 4; break;\n        }\n        h /= 6;\n    }\n    return { h: h, s: s, v: v };\n}\n\n// `hsvToRgb`\n// Converts an HSV color value to RGB.\n// *Assumes:* h is contained in [0, 1] or [0, 360] and s and v are contained in [0, 1] or [0, 100]\n// *Returns:* { r, g, b } in the set [0, 255]\n function hsvToRgb(h, s, v) {\n\n    h = bound01(h, 360) * 6;\n    s = bound01(s, 100);\n    v = bound01(v, 100);\n\n    var i = Math.floor(h),\n        f = h - i,\n        p = v * (1 - s),\n        q = v * (1 - f * s),\n        t = v * (1 - (1 - f) * s),\n        mod = i % 6,\n        r = [v, q, p, p, t, v][mod],\n        g = [t, v, v, q, p, p][mod],\n        b = [p, p, t, v, v, q][mod];\n\n    return { r: r * 255, g: g * 255, b: b * 255 };\n}\n\n// `rgbToHex`\n// Converts an RGB color to hex\n// Assumes r, g, and b are contained in the set [0, 255]\n// Returns a 3 or 6 character hex\nfunction rgbToHex(r, g, b, allow3Char) {\n\n    var hex = [\n        pad2(mathRound(r).toString(16)),\n        pad2(mathRound(g).toString(16)),\n        pad2(mathRound(b).toString(16))\n    ];\n\n    // Return a 3 character hex if possible\n    if (allow3Char && hex[0].charAt(0) == hex[0].charAt(1) && hex[1].charAt(0) == hex[1].charAt(1) && hex[2].charAt(0) == hex[2].charAt(1)) {\n        return hex[0].charAt(0) + hex[1].charAt(0) + hex[2].charAt(0);\n    }\n\n    return hex.join(\"\");\n}\n\n// `rgbaToHex`\n// Converts an RGBA color plus alpha transparency to hex\n// Assumes r, g, b are contained in the set [0, 255] and\n// a in [0, 1]. Returns a 4 or 8 character rgba hex\nfunction rgbaToHex(r, g, b, a, allow4Char) {\n\n    var hex = [\n        pad2(mathRound(r).toString(16)),\n        pad2(mathRound(g).toString(16)),\n        pad2(mathRound(b).toString(16)),\n        pad2(convertDecimalToHex(a))\n    ];\n\n    // Return a 4 character hex if possible\n    if (allow4Char && hex[0].charAt(0) == hex[0].charAt(1) && hex[1].charAt(0) == hex[1].charAt(1) && hex[2].charAt(0) == hex[2].charAt(1) && hex[3].charAt(0) == hex[3].charAt(1)) {\n        return hex[0].charAt(0) + hex[1].charAt(0) + hex[2].charAt(0) + hex[3].charAt(0);\n    }\n\n    return hex.join(\"\");\n}\n\n// `rgbaToArgbHex`\n// Converts an RGBA color to an ARGB Hex8 string\n// Rarely used, but required for \"toFilter()\"\nfunction rgbaToArgbHex(r, g, b, a) {\n\n    var hex = [\n        pad2(convertDecimalToHex(a)),\n        pad2(mathRound(r).toString(16)),\n        pad2(mathRound(g).toString(16)),\n        pad2(mathRound(b).toString(16))\n    ];\n\n    return hex.join(\"\");\n}\n\n// `equals`\n// Can be called with any tinycolor input\ntinycolor.equals = function (color1, color2) {\n    if (!color1 || !color2) { return false; }\n    return tinycolor(color1).toRgbString() == tinycolor(color2).toRgbString();\n};\n\ntinycolor.random = function() {\n    return tinycolor.fromRatio({\n        r: mathRandom(),\n        g: mathRandom(),\n        b: mathRandom()\n    });\n};\n\n\n// Modification Functions\n// ----------------------\n// Thanks to less.js for some of the basics here\n// <https://github.com/cloudhead/less.js/blob/master/lib/less/functions.js>\n\nfunction desaturate(color, amount) {\n    amount = (amount === 0) ? 0 : (amount || 10);\n    var hsl = tinycolor(color).toHsl();\n    hsl.s -= amount / 100;\n    hsl.s = clamp01(hsl.s);\n    return tinycolor(hsl);\n}\n\nfunction saturate(color, amount) {\n    amount = (amount === 0) ? 0 : (amount || 10);\n    var hsl = tinycolor(color).toHsl();\n    hsl.s += amount / 100;\n    hsl.s = clamp01(hsl.s);\n    return tinycolor(hsl);\n}\n\nfunction greyscale(color) {\n    return tinycolor(color).desaturate(100);\n}\n\nfunction lighten (color, amount) {\n    amount = (amount === 0) ? 0 : (amount || 10);\n    var hsl = tinycolor(color).toHsl();\n    hsl.l += amount / 100;\n    hsl.l = clamp01(hsl.l);\n    return tinycolor(hsl);\n}\n\nfunction brighten(color, amount) {\n    amount = (amount === 0) ? 0 : (amount || 10);\n    var rgb = tinycolor(color).toRgb();\n    rgb.r = mathMax(0, mathMin(255, rgb.r - mathRound(255 * - (amount / 100))));\n    rgb.g = mathMax(0, mathMin(255, rgb.g - mathRound(255 * - (amount / 100))));\n    rgb.b = mathMax(0, mathMin(255, rgb.b - mathRound(255 * - (amount / 100))));\n    return tinycolor(rgb);\n}\n\nfunction darken (color, amount) {\n    amount = (amount === 0) ? 0 : (amount || 10);\n    var hsl = tinycolor(color).toHsl();\n    hsl.l -= amount / 100;\n    hsl.l = clamp01(hsl.l);\n    return tinycolor(hsl);\n}\n\n// Spin takes a positive or negative amount within [-360, 360] indicating the change of hue.\n// Values outside of this range will be wrapped into this range.\nfunction spin(color, amount) {\n    var hsl = tinycolor(color).toHsl();\n    var hue = (hsl.h + amount) % 360;\n    hsl.h = hue < 0 ? 360 + hue : hue;\n    return tinycolor(hsl);\n}\n\n// Combination Functions\n// ---------------------\n// Thanks to jQuery xColor for some of the ideas behind these\n// <https://github.com/infusion/jQuery-xcolor/blob/master/jquery.xcolor.js>\n\nfunction complement(color) {\n    var hsl = tinycolor(color).toHsl();\n    hsl.h = (hsl.h + 180) % 360;\n    return tinycolor(hsl);\n}\n\nfunction triad(color) {\n    var hsl = tinycolor(color).toHsl();\n    var h = hsl.h;\n    return [\n        tinycolor(color),\n        tinycolor({ h: (h + 120) % 360, s: hsl.s, l: hsl.l }),\n        tinycolor({ h: (h + 240) % 360, s: hsl.s, l: hsl.l })\n    ];\n}\n\nfunction tetrad(color) {\n    var hsl = tinycolor(color).toHsl();\n    var h = hsl.h;\n    return [\n        tinycolor(color),\n        tinycolor({ h: (h + 90) % 360, s: hsl.s, l: hsl.l }),\n        tinycolor({ h: (h + 180) % 360, s: hsl.s, l: hsl.l }),\n        tinycolor({ h: (h + 270) % 360, s: hsl.s, l: hsl.l })\n    ];\n}\n\nfunction splitcomplement(color) {\n    var hsl = tinycolor(color).toHsl();\n    var h = hsl.h;\n    return [\n        tinycolor(color),\n        tinycolor({ h: (h + 72) % 360, s: hsl.s, l: hsl.l}),\n        tinycolor({ h: (h + 216) % 360, s: hsl.s, l: hsl.l})\n    ];\n}\n\nfunction analogous(color, results, slices) {\n    results = results || 6;\n    slices = slices || 30;\n\n    var hsl = tinycolor(color).toHsl();\n    var part = 360 / slices;\n    var ret = [tinycolor(color)];\n\n    for (hsl.h = ((hsl.h - (part * results >> 1)) + 720) % 360; --results; ) {\n        hsl.h = (hsl.h + part) % 360;\n        ret.push(tinycolor(hsl));\n    }\n    return ret;\n}\n\nfunction monochromatic(color, results) {\n    results = results || 6;\n    var hsv = tinycolor(color).toHsv();\n    var h = hsv.h, s = hsv.s, v = hsv.v;\n    var ret = [];\n    var modification = 1 / results;\n\n    while (results--) {\n        ret.push(tinycolor({ h: h, s: s, v: v}));\n        v = (v + modification) % 1;\n    }\n\n    return ret;\n}\n\n// Utility Functions\n// ---------------------\n\ntinycolor.mix = function(color1, color2, amount) {\n    amount = (amount === 0) ? 0 : (amount || 50);\n\n    var rgb1 = tinycolor(color1).toRgb();\n    var rgb2 = tinycolor(color2).toRgb();\n\n    var p = amount / 100;\n\n    var rgba = {\n        r: ((rgb2.r - rgb1.r) * p) + rgb1.r,\n        g: ((rgb2.g - rgb1.g) * p) + rgb1.g,\n        b: ((rgb2.b - rgb1.b) * p) + rgb1.b,\n        a: ((rgb2.a - rgb1.a) * p) + rgb1.a\n    };\n\n    return tinycolor(rgba);\n};\n\n\n// Readability Functions\n// ---------------------\n// <http://www.w3.org/TR/2008/REC-WCAG20-20081211/#contrast-ratiodef (WCAG Version 2)\n\n// `contrast`\n// Analyze the 2 colors and returns the color contrast defined by (WCAG Version 2)\ntinycolor.readability = function(color1, color2) {\n    var c1 = tinycolor(color1);\n    var c2 = tinycolor(color2);\n    return (Math.max(c1.getLuminance(),c2.getLuminance())+0.05) / (Math.min(c1.getLuminance(),c2.getLuminance())+0.05);\n};\n\n// `isReadable`\n// Ensure that foreground and background color combinations meet WCAG2 guidelines.\n// The third argument is an optional Object.\n//      the 'level' property states 'AA' or 'AAA' - if missing or invalid, it defaults to 'AA';\n//      the 'size' property states 'large' or 'small' - if missing or invalid, it defaults to 'small'.\n// If the entire object is absent, isReadable defaults to {level:\"AA\",size:\"small\"}.\n\n// *Example*\n//    tinycolor.isReadable(\"#000\", \"#111\") => false\n//    tinycolor.isReadable(\"#000\", \"#111\",{level:\"AA\",size:\"large\"}) => false\ntinycolor.isReadable = function(color1, color2, wcag2) {\n    var readability = tinycolor.readability(color1, color2);\n    var wcag2Parms, out;\n\n    out = false;\n\n    wcag2Parms = validateWCAG2Parms(wcag2);\n    switch (wcag2Parms.level + wcag2Parms.size) {\n        case \"AAsmall\":\n        case \"AAAlarge\":\n            out = readability >= 4.5;\n            break;\n        case \"AAlarge\":\n            out = readability >= 3;\n            break;\n        case \"AAAsmall\":\n            out = readability >= 7;\n            break;\n    }\n    return out;\n\n};\n\n// `mostReadable`\n// Given a base color and a list of possible foreground or background\n// colors for that base, returns the most readable color.\n// Optionally returns Black or White if the most readable color is unreadable.\n// *Example*\n//    tinycolor.mostReadable(tinycolor.mostReadable(\"#123\", [\"#124\", \"#125\"],{includeFallbackColors:false}).toHexString(); // \"#112255\"\n//    tinycolor.mostReadable(tinycolor.mostReadable(\"#123\", [\"#124\", \"#125\"],{includeFallbackColors:true}).toHexString();  // \"#ffffff\"\n//    tinycolor.mostReadable(\"#a8015a\", [\"#faf3f3\"],{includeFallbackColors:true,level:\"AAA\",size:\"large\"}).toHexString(); // \"#faf3f3\"\n//    tinycolor.mostReadable(\"#a8015a\", [\"#faf3f3\"],{includeFallbackColors:true,level:\"AAA\",size:\"small\"}).toHexString(); // \"#ffffff\"\ntinycolor.mostReadable = function(baseColor, colorList, args) {\n    var bestColor = null;\n    var bestScore = 0;\n    var readability;\n    var includeFallbackColors, level, size ;\n    args = args || {};\n    includeFallbackColors = args.includeFallbackColors ;\n    level = args.level;\n    size = args.size;\n\n    for (var i= 0; i < colorList.length ; i++) {\n        readability = tinycolor.readability(baseColor, colorList[i]);\n        if (readability > bestScore) {\n            bestScore = readability;\n            bestColor = tinycolor(colorList[i]);\n        }\n    }\n\n    if (tinycolor.isReadable(baseColor, bestColor, {\"level\":level,\"size\":size}) || !includeFallbackColors) {\n        return bestColor;\n    }\n    else {\n        args.includeFallbackColors=false;\n        return tinycolor.mostReadable(baseColor,[\"#fff\", \"#000\"],args);\n    }\n};\n\n\n// Big List of Colors\n// ------------------\n// <http://www.w3.org/TR/css3-color/#svg-color>\nvar names = tinycolor.names = {\n    aliceblue: \"f0f8ff\",\n    antiquewhite: \"faebd7\",\n    aqua: \"0ff\",\n    aquamarine: \"7fffd4\",\n    azure: \"f0ffff\",\n    beige: \"f5f5dc\",\n    bisque: \"ffe4c4\",\n    black: \"000\",\n    blanchedalmond: \"ffebcd\",\n    blue: \"00f\",\n    blueviolet: \"8a2be2\",\n    brown: \"a52a2a\",\n    burlywood: \"deb887\",\n    burntsienna: \"ea7e5d\",\n    cadetblue: \"5f9ea0\",\n    chartreuse: \"7fff00\",\n    chocolate: \"d2691e\",\n    coral: \"ff7f50\",\n    cornflowerblue: \"6495ed\",\n    cornsilk: \"fff8dc\",\n    crimson: \"dc143c\",\n    cyan: \"0ff\",\n    darkblue: \"00008b\",\n    darkcyan: \"008b8b\",\n    darkgoldenrod: \"b8860b\",\n    darkgray: \"a9a9a9\",\n    darkgreen: \"006400\",\n    darkgrey: \"a9a9a9\",\n    darkkhaki: \"bdb76b\",\n    darkmagenta: \"8b008b\",\n    darkolivegreen: \"556b2f\",\n    darkorange: \"ff8c00\",\n    darkorchid: \"9932cc\",\n    darkred: \"8b0000\",\n    darksalmon: \"e9967a\",\n    darkseagreen: \"8fbc8f\",\n    darkslateblue: \"483d8b\",\n    darkslategray: \"2f4f4f\",\n    darkslategrey: \"2f4f4f\",\n    darkturquoise: \"00ced1\",\n    darkviolet: \"9400d3\",\n    deeppink: \"ff1493\",\n    deepskyblue: \"00bfff\",\n    dimgray: \"696969\",\n    dimgrey: \"696969\",\n    dodgerblue: \"1e90ff\",\n    firebrick: \"b22222\",\n    floralwhite: \"fffaf0\",\n    forestgreen: \"228b22\",\n    fuchsia: \"f0f\",\n    gainsboro: \"dcdcdc\",\n    ghostwhite: \"f8f8ff\",\n    gold: \"ffd700\",\n    goldenrod: \"daa520\",\n    gray: \"808080\",\n    green: \"008000\",\n    greenyellow: \"adff2f\",\n    grey: \"808080\",\n    honeydew: \"f0fff0\",\n    hotpink: \"ff69b4\",\n    indianred: \"cd5c5c\",\n    indigo: \"4b0082\",\n    ivory: \"fffff0\",\n    khaki: \"f0e68c\",\n    lavender: \"e6e6fa\",\n    lavenderblush: \"fff0f5\",\n    lawngreen: \"7cfc00\",\n    lemonchiffon: \"fffacd\",\n    lightblue: \"add8e6\",\n    lightcoral: \"f08080\",\n    lightcyan: \"e0ffff\",\n    lightgoldenrodyellow: \"fafad2\",\n    lightgray: \"d3d3d3\",\n    lightgreen: \"90ee90\",\n    lightgrey: \"d3d3d3\",\n    lightpink: \"ffb6c1\",\n    lightsalmon: \"ffa07a\",\n    lightseagreen: \"20b2aa\",\n    lightskyblue: \"87cefa\",\n    lightslategray: \"789\",\n    lightslategrey: \"789\",\n    lightsteelblue: \"b0c4de\",\n    lightyellow: \"ffffe0\",\n    lime: \"0f0\",\n    limegreen: \"32cd32\",\n    linen: \"faf0e6\",\n    magenta: \"f0f\",\n    maroon: \"800000\",\n    mediumaquamarine: \"66cdaa\",\n    mediumblue: \"0000cd\",\n    mediumorchid: \"ba55d3\",\n    mediumpurple: \"9370db\",\n    mediumseagreen: \"3cb371\",\n    mediumslateblue: \"7b68ee\",\n    mediumspringgreen: \"00fa9a\",\n    mediumturquoise: \"48d1cc\",\n    mediumvioletred: \"c71585\",\n    midnightblue: \"191970\",\n    mintcream: \"f5fffa\",\n    mistyrose: \"ffe4e1\",\n    moccasin: \"ffe4b5\",\n    navajowhite: \"ffdead\",\n    navy: \"000080\",\n    oldlace: \"fdf5e6\",\n    olive: \"808000\",\n    olivedrab: \"6b8e23\",\n    orange: \"ffa500\",\n    orangered: \"ff4500\",\n    orchid: \"da70d6\",\n    palegoldenrod: \"eee8aa\",\n    palegreen: \"98fb98\",\n    paleturquoise: \"afeeee\",\n    palevioletred: \"db7093\",\n    papayawhip: \"ffefd5\",\n    peachpuff: \"ffdab9\",\n    peru: \"cd853f\",\n    pink: \"ffc0cb\",\n    plum: \"dda0dd\",\n    powderblue: \"b0e0e6\",\n    purple: \"800080\",\n    rebeccapurple: \"663399\",\n    red: \"f00\",\n    rosybrown: \"bc8f8f\",\n    royalblue: \"4169e1\",\n    saddlebrown: \"8b4513\",\n    salmon: \"fa8072\",\n    sandybrown: \"f4a460\",\n    seagreen: \"2e8b57\",\n    seashell: \"fff5ee\",\n    sienna: \"a0522d\",\n    silver: \"c0c0c0\",\n    skyblue: \"87ceeb\",\n    slateblue: \"6a5acd\",\n    slategray: \"708090\",\n    slategrey: \"708090\",\n    snow: \"fffafa\",\n    springgreen: \"00ff7f\",\n    steelblue: \"4682b4\",\n    tan: \"d2b48c\",\n    teal: \"008080\",\n    thistle: \"d8bfd8\",\n    tomato: \"ff6347\",\n    turquoise: \"40e0d0\",\n    violet: \"ee82ee\",\n    wheat: \"f5deb3\",\n    white: \"fff\",\n    whitesmoke: \"f5f5f5\",\n    yellow: \"ff0\",\n    yellowgreen: \"9acd32\"\n};\n\n// Make it easy to access colors via `hexNames[hex]`\nvar hexNames = tinycolor.hexNames = flip(names);\n\n\n// Utilities\n// ---------\n\n// `{ 'name1': 'val1' }` becomes `{ 'val1': 'name1' }`\nfunction flip(o) {\n    var flipped = { };\n    for (var i in o) {\n        if (o.hasOwnProperty(i)) {\n            flipped[o[i]] = i;\n        }\n    }\n    return flipped;\n}\n\n// Return a valid alpha value [0,1] with all invalid values being set to 1\nfunction boundAlpha(a) {\n    a = parseFloat(a);\n\n    if (isNaN(a) || a < 0 || a > 1) {\n        a = 1;\n    }\n\n    return a;\n}\n\n// Take input from [0, n] and return it as [0, 1]\nfunction bound01(n, max) {\n    if (isOnePointZero(n)) { n = \"100%\"; }\n\n    var processPercent = isPercentage(n);\n    n = mathMin(max, mathMax(0, parseFloat(n)));\n\n    // Automatically convert percentage into number\n    if (processPercent) {\n        n = parseInt(n * max, 10) / 100;\n    }\n\n    // Handle floating point rounding errors\n    if ((Math.abs(n - max) < 0.000001)) {\n        return 1;\n    }\n\n    // Convert into [0, 1] range if it isn't already\n    return (n % max) / parseFloat(max);\n}\n\n// Force a number between 0 and 1\nfunction clamp01(val) {\n    return mathMin(1, mathMax(0, val));\n}\n\n// Parse a base-16 hex value into a base-10 integer\nfunction parseIntFromHex(val) {\n    return parseInt(val, 16);\n}\n\n// Need to handle 1.0 as 100%, since once it is a number, there is no difference between it and 1\n// <http://stackoverflow.com/questions/7422072/javascript-how-to-detect-number-as-a-decimal-including-1-0>\nfunction isOnePointZero(n) {\n    return typeof n == \"string\" && n.indexOf('.') != -1 && parseFloat(n) === 1;\n}\n\n// Check to see if string passed in is a percentage\nfunction isPercentage(n) {\n    return typeof n === \"string\" && n.indexOf('%') != -1;\n}\n\n// Force a hex value to have 2 characters\nfunction pad2(c) {\n    return c.length == 1 ? '0' + c : '' + c;\n}\n\n// Replace a decimal with it's percentage value\nfunction convertToPercentage(n) {\n    if (n <= 1) {\n        n = (n * 100) + \"%\";\n    }\n\n    return n;\n}\n\n// Converts a decimal to a hex value\nfunction convertDecimalToHex(d) {\n    return Math.round(parseFloat(d) * 255).toString(16);\n}\n// Converts a hex value to a decimal\nfunction convertHexToDecimal(h) {\n    return (parseIntFromHex(h) / 255);\n}\n\nvar matchers = (function() {\n\n    // <http://www.w3.org/TR/css3-values/#integers>\n    var CSS_INTEGER = \"[-\\\\+]?\\\\d+%?\";\n\n    // <http://www.w3.org/TR/css3-values/#number-value>\n    var CSS_NUMBER = \"[-\\\\+]?\\\\d*\\\\.\\\\d+%?\";\n\n    // Allow positive/negative integer/number.  Don't capture the either/or, just the entire outcome.\n    var CSS_UNIT = \"(?:\" + CSS_NUMBER + \")|(?:\" + CSS_INTEGER + \")\";\n\n    // Actual matching.\n    // Parentheses and commas are optional, but not required.\n    // Whitespace can take the place of commas or opening paren\n    var PERMISSIVE_MATCH3 = \"[\\\\s|\\\\(]+(\" + CSS_UNIT + \")[,|\\\\s]+(\" + CSS_UNIT + \")[,|\\\\s]+(\" + CSS_UNIT + \")\\\\s*\\\\)?\";\n    var PERMISSIVE_MATCH4 = \"[\\\\s|\\\\(]+(\" + CSS_UNIT + \")[,|\\\\s]+(\" + CSS_UNIT + \")[,|\\\\s]+(\" + CSS_UNIT + \")[,|\\\\s]+(\" + CSS_UNIT + \")\\\\s*\\\\)?\";\n\n    return {\n        CSS_UNIT: new RegExp(CSS_UNIT),\n        rgb: new RegExp(\"rgb\" + PERMISSIVE_MATCH3),\n        rgba: new RegExp(\"rgba\" + PERMISSIVE_MATCH4),\n        hsl: new RegExp(\"hsl\" + PERMISSIVE_MATCH3),\n        hsla: new RegExp(\"hsla\" + PERMISSIVE_MATCH4),\n        hsv: new RegExp(\"hsv\" + PERMISSIVE_MATCH3),\n        hsva: new RegExp(\"hsva\" + PERMISSIVE_MATCH4),\n        hex3: /^#?([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})$/,\n        hex6: /^#?([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})$/,\n        hex4: /^#?([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})$/,\n        hex8: /^#?([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})$/\n    };\n})();\n\n// `isValidCSSUnit`\n// Take in a single string / number and check to see if it looks like a CSS unit\n// (see `matchers` above for definition).\nfunction isValidCSSUnit(color) {\n    return !!matchers.CSS_UNIT.exec(color);\n}\n\n// `stringInputToObject`\n// Permissive string parsing.  Take in a number of formats, and output an object\n// based on detected format.  Returns `{ r, g, b }` or `{ h, s, l }` or `{ h, s, v}`\nfunction stringInputToObject(color) {\n\n    color = color.replace(trimLeft,'').replace(trimRight, '').toLowerCase();\n    var named = false;\n    if (names[color]) {\n        color = names[color];\n        named = true;\n    }\n    else if (color == 'transparent') {\n        return { r: 0, g: 0, b: 0, a: 0, format: \"name\" };\n    }\n\n    // Try to match string input using regular expressions.\n    // Keep most of the number bounding out of this function - don't worry about [0,1] or [0,100] or [0,360]\n    // Just return an object and let the conversion functions handle that.\n    // This way the result will be the same whether the tinycolor is initialized with string or object.\n    var match;\n    if ((match = matchers.rgb.exec(color))) {\n        return { r: match[1], g: match[2], b: match[3] };\n    }\n    if ((match = matchers.rgba.exec(color))) {\n        return { r: match[1], g: match[2], b: match[3], a: match[4] };\n    }\n    if ((match = matchers.hsl.exec(color))) {\n        return { h: match[1], s: match[2], l: match[3] };\n    }\n    if ((match = matchers.hsla.exec(color))) {\n        return { h: match[1], s: match[2], l: match[3], a: match[4] };\n    }\n    if ((match = matchers.hsv.exec(color))) {\n        return { h: match[1], s: match[2], v: match[3] };\n    }\n    if ((match = matchers.hsva.exec(color))) {\n        return { h: match[1], s: match[2], v: match[3], a: match[4] };\n    }\n    if ((match = matchers.hex8.exec(color))) {\n        return {\n            r: parseIntFromHex(match[1]),\n            g: parseIntFromHex(match[2]),\n            b: parseIntFromHex(match[3]),\n            a: convertHexToDecimal(match[4]),\n            format: named ? \"name\" : \"hex8\"\n        };\n    }\n    if ((match = matchers.hex6.exec(color))) {\n        return {\n            r: parseIntFromHex(match[1]),\n            g: parseIntFromHex(match[2]),\n            b: parseIntFromHex(match[3]),\n            format: named ? \"name\" : \"hex\"\n        };\n    }\n    if ((match = matchers.hex4.exec(color))) {\n        return {\n            r: parseIntFromHex(match[1] + '' + match[1]),\n            g: parseIntFromHex(match[2] + '' + match[2]),\n            b: parseIntFromHex(match[3] + '' + match[3]),\n            a: convertHexToDecimal(match[4] + '' + match[4]),\n            format: named ? \"name\" : \"hex8\"\n        };\n    }\n    if ((match = matchers.hex3.exec(color))) {\n        return {\n            r: parseIntFromHex(match[1] + '' + match[1]),\n            g: parseIntFromHex(match[2] + '' + match[2]),\n            b: parseIntFromHex(match[3] + '' + match[3]),\n            format: named ? \"name\" : \"hex\"\n        };\n    }\n\n    return false;\n}\n\nfunction validateWCAG2Parms(parms) {\n    // return valid WCAG2 parms for isReadable.\n    // If input parms are invalid, return {\"level\":\"AA\", \"size\":\"small\"}\n    var level, size;\n    parms = parms || {\"level\":\"AA\", \"size\":\"small\"};\n    level = (parms.level || \"AA\").toUpperCase();\n    size = (parms.size || \"small\").toLowerCase();\n    if (level !== \"AA\" && level !== \"AAA\") {\n        level = \"AA\";\n    }\n    if (size !== \"small\" && size !== \"large\") {\n        size = \"small\";\n    }\n    return {\"level\":level, \"size\":size};\n}\n\n// Node: Export function\nif (typeof module !== \"undefined\" && module.exports) {\n    module.exports = tinycolor;\n}\n// AMD/requirejs: Define the module\nelse if (typeof define === 'function' && define.amd) {\n    define(function () {return tinycolor;});\n}\n// Browser: Expose to window\nelse {\n    window.tinycolor = tinycolor;\n}\n\n})(Math);\n\n},{}],515:[function(_dereq_,module,exports){\n/* @module to-float32 */\r\n\r\n'use strict'\r\n\r\nmodule.exports = float32\r\nmodule.exports.float32 =\r\nmodule.exports.float = float32\r\nmodule.exports.fract32 =\r\nmodule.exports.fract = fract32\r\n\r\n// return fractional part of float32 array\r\nfunction fract32 (arr) {\r\n\tif (typeof arr === 'number') {\r\n\t\treturn float32(arr - float32(arr))\r\n\t}\r\n\r\n\tvar fract = float32(arr)\r\n\tfor (var i = 0, l = fract.length; i < l; i++) {\r\n\t\tfract[i] = arr[i] - fract[i]\r\n\t}\r\n\treturn fract\r\n}\r\n\r\n// make sure data is float32 array\r\nfunction float32 (arr) {\r\n\tif (arr instanceof Float32Array) return arr\r\n\tif (typeof arr === 'number') {\r\n\t\treturn (new Float32Array([arr]))[0]\r\n\t}\r\n\r\n\tvar float = new Float32Array(arr)\r\n\tfloat.set(arr)\r\n\treturn float\r\n}\r\n\n},{}],516:[function(_dereq_,module,exports){\n'use strict'\n\nvar parseUnit = _dereq_('parse-unit')\n\nmodule.exports = toPX\n\nvar PIXELS_PER_INCH = 96\n\nfunction getPropertyInPX(element, prop) {\n  var parts = parseUnit(getComputedStyle(element).getPropertyValue(prop))\n  return parts[0] * toPX(parts[1], element)\n}\n\n//This brutal hack is needed\nfunction getSizeBrutal(unit, element) {\n  var testDIV = document.createElement('div')\n  testDIV.style['font-size'] = '128' + unit\n  element.appendChild(testDIV)\n  var size = getPropertyInPX(testDIV, 'font-size') / 128\n  element.removeChild(testDIV)\n  return size\n}\n\nfunction toPX(str, element) {\n  element = element || document.body\n  str = (str || 'px').trim().toLowerCase()\n  if(element === window || element === document) {\n    element = document.body \n  }\n  switch(str) {\n    case '%':  //Ambiguous, not sure if we should use width or height\n      return element.clientHeight / 100.0\n    case 'ch':\n    case 'ex':\n      return getSizeBrutal(str, element)\n    case 'em':\n      return getPropertyInPX(element, 'font-size')\n    case 'rem':\n      return getPropertyInPX(document.body, 'font-size')\n    case 'vw':\n      return window.innerWidth/100\n    case 'vh':\n      return window.innerHeight/100\n    case 'vmin':\n      return Math.min(window.innerWidth, window.innerHeight) / 100\n    case 'vmax':\n      return Math.max(window.innerWidth, window.innerHeight) / 100\n    case 'in':\n      return PIXELS_PER_INCH\n    case 'cm':\n      return PIXELS_PER_INCH / 2.54\n    case 'mm':\n      return PIXELS_PER_INCH / 25.4\n    case 'pt':\n      return PIXELS_PER_INCH / 72\n    case 'pc':\n      return PIXELS_PER_INCH / 6\n  }\n  return 1\n}\n},{\"parse-unit\":444}],517:[function(_dereq_,module,exports){\n// https://github.com/topojson/topojson-client Version 2.1.0. Copyright 2016 Mike Bostock.\n(function (global, factory) {\n  typeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :\n  typeof define === 'function' && define.amd ? define(['exports'], factory) :\n  (factory((global.topojson = global.topojson || {})));\n}(this, (function (exports) { 'use strict';\n\nvar identity = function(x) {\n  return x;\n};\n\nvar transform = function(topology) {\n  if ((transform = topology.transform) == null) return identity;\n  var transform,\n      x0,\n      y0,\n      kx = transform.scale[0],\n      ky = transform.scale[1],\n      dx = transform.translate[0],\n      dy = transform.translate[1];\n  return function(point, i) {\n    if (!i) x0 = y0 = 0;\n    point[0] = (x0 += point[0]) * kx + dx;\n    point[1] = (y0 += point[1]) * ky + dy;\n    return point;\n  };\n};\n\nvar bbox = function(topology) {\n  var bbox = topology.bbox;\n\n  function bboxPoint(p0) {\n    p1[0] = p0[0], p1[1] = p0[1], t(p1);\n    if (p1[0] < x0) x0 = p1[0];\n    if (p1[0] > x1) x1 = p1[0];\n    if (p1[1] < y0) y0 = p1[1];\n    if (p1[1] > y1) y1 = p1[1];\n  }\n\n  function bboxGeometry(o) {\n    switch (o.type) {\n      case \"GeometryCollection\": o.geometries.forEach(bboxGeometry); break;\n      case \"Point\": bboxPoint(o.coordinates); break;\n      case \"MultiPoint\": o.coordinates.forEach(bboxPoint); break;\n    }\n  }\n\n  if (!bbox) {\n    var t = transform(topology), p0, p1 = new Array(2), name,\n        x0 = Infinity, y0 = x0, x1 = -x0, y1 = -x0;\n\n    topology.arcs.forEach(function(arc) {\n      var i = -1, n = arc.length;\n      while (++i < n) {\n        p0 = arc[i], p1[0] = p0[0], p1[1] = p0[1], t(p1, i);\n        if (p1[0] < x0) x0 = p1[0];\n        if (p1[0] > x1) x1 = p1[0];\n        if (p1[1] < y0) y0 = p1[1];\n        if (p1[1] > y1) y1 = p1[1];\n      }\n    });\n\n    for (name in topology.objects) {\n      bboxGeometry(topology.objects[name]);\n    }\n\n    bbox = topology.bbox = [x0, y0, x1, y1];\n  }\n\n  return bbox;\n};\n\nvar reverse = function(array, n) {\n  var t, j = array.length, i = j - n;\n  while (i < --j) t = array[i], array[i++] = array[j], array[j] = t;\n};\n\nvar feature = function(topology, o) {\n  return o.type === \"GeometryCollection\"\n      ? {type: \"FeatureCollection\", features: o.geometries.map(function(o) { return feature$1(topology, o); })}\n      : feature$1(topology, o);\n};\n\nfunction feature$1(topology, o) {\n  var id = o.id,\n      bbox = o.bbox,\n      properties = o.properties == null ? {} : o.properties,\n      geometry = object(topology, o);\n  return id == null && bbox == null ? {type: \"Feature\", properties: properties, geometry: geometry}\n      : bbox == null ? {type: \"Feature\", id: id, properties: properties, geometry: geometry}\n      : {type: \"Feature\", id: id, bbox: bbox, properties: properties, geometry: geometry};\n}\n\nfunction object(topology, o) {\n  var transformPoint = transform(topology),\n      arcs = topology.arcs;\n\n  function arc(i, points) {\n    if (points.length) points.pop();\n    for (var a = arcs[i < 0 ? ~i : i], k = 0, n = a.length; k < n; ++k) {\n      points.push(transformPoint(a[k].slice(), k));\n    }\n    if (i < 0) reverse(points, n);\n  }\n\n  function point(p) {\n    return transformPoint(p.slice());\n  }\n\n  function line(arcs) {\n    var points = [];\n    for (var i = 0, n = arcs.length; i < n; ++i) arc(arcs[i], points);\n    if (points.length < 2) points.push(points[0].slice());\n    return points;\n  }\n\n  function ring(arcs) {\n    var points = line(arcs);\n    while (points.length < 4) points.push(points[0].slice());\n    return points;\n  }\n\n  function polygon(arcs) {\n    return arcs.map(ring);\n  }\n\n  function geometry(o) {\n    var type = o.type, coordinates;\n    switch (type) {\n      case \"GeometryCollection\": return {type: type, geometries: o.geometries.map(geometry)};\n      case \"Point\": coordinates = point(o.coordinates); break;\n      case \"MultiPoint\": coordinates = o.coordinates.map(point); break;\n      case \"LineString\": coordinates = line(o.arcs); break;\n      case \"MultiLineString\": coordinates = o.arcs.map(line); break;\n      case \"Polygon\": coordinates = polygon(o.arcs); break;\n      case \"MultiPolygon\": coordinates = o.arcs.map(polygon); break;\n      default: return null;\n    }\n    return {type: type, coordinates: coordinates};\n  }\n\n  return geometry(o);\n}\n\nvar stitch = function(topology, arcs) {\n  var stitchedArcs = {},\n      fragmentByStart = {},\n      fragmentByEnd = {},\n      fragments = [],\n      emptyIndex = -1;\n\n  // Stitch empty arcs first, since they may be subsumed by other arcs.\n  arcs.forEach(function(i, j) {\n    var arc = topology.arcs[i < 0 ? ~i : i], t;\n    if (arc.length < 3 && !arc[1][0] && !arc[1][1]) {\n      t = arcs[++emptyIndex], arcs[emptyIndex] = i, arcs[j] = t;\n    }\n  });\n\n  arcs.forEach(function(i) {\n    var e = ends(i),\n        start = e[0],\n        end = e[1],\n        f, g;\n\n    if (f = fragmentByEnd[start]) {\n      delete fragmentByEnd[f.end];\n      f.push(i);\n      f.end = end;\n      if (g = fragmentByStart[end]) {\n        delete fragmentByStart[g.start];\n        var fg = g === f ? f : f.concat(g);\n        fragmentByStart[fg.start = f.start] = fragmentByEnd[fg.end = g.end] = fg;\n      } else {\n        fragmentByStart[f.start] = fragmentByEnd[f.end] = f;\n      }\n    } else if (f = fragmentByStart[end]) {\n      delete fragmentByStart[f.start];\n      f.unshift(i);\n      f.start = start;\n      if (g = fragmentByEnd[start]) {\n        delete fragmentByEnd[g.end];\n        var gf = g === f ? f : g.concat(f);\n        fragmentByStart[gf.start = g.start] = fragmentByEnd[gf.end = f.end] = gf;\n      } else {\n        fragmentByStart[f.start] = fragmentByEnd[f.end] = f;\n      }\n    } else {\n      f = [i];\n      fragmentByStart[f.start = start] = fragmentByEnd[f.end = end] = f;\n    }\n  });\n\n  function ends(i) {\n    var arc = topology.arcs[i < 0 ? ~i : i], p0 = arc[0], p1;\n    if (topology.transform) p1 = [0, 0], arc.forEach(function(dp) { p1[0] += dp[0], p1[1] += dp[1]; });\n    else p1 = arc[arc.length - 1];\n    return i < 0 ? [p1, p0] : [p0, p1];\n  }\n\n  function flush(fragmentByEnd, fragmentByStart) {\n    for (var k in fragmentByEnd) {\n      var f = fragmentByEnd[k];\n      delete fragmentByStart[f.start];\n      delete f.start;\n      delete f.end;\n      f.forEach(function(i) { stitchedArcs[i < 0 ? ~i : i] = 1; });\n      fragments.push(f);\n    }\n  }\n\n  flush(fragmentByEnd, fragmentByStart);\n  flush(fragmentByStart, fragmentByEnd);\n  arcs.forEach(function(i) { if (!stitchedArcs[i < 0 ? ~i : i]) fragments.push([i]); });\n\n  return fragments;\n};\n\nvar mesh = function(topology) {\n  return object(topology, meshArcs.apply(this, arguments));\n};\n\nfunction meshArcs(topology, object$$1, filter) {\n  var arcs, i, n;\n  if (arguments.length > 1) arcs = extractArcs(topology, object$$1, filter);\n  else for (i = 0, arcs = new Array(n = topology.arcs.length); i < n; ++i) arcs[i] = i;\n  return {type: \"MultiLineString\", arcs: stitch(topology, arcs)};\n}\n\nfunction extractArcs(topology, object$$1, filter) {\n  var arcs = [],\n      geomsByArc = [],\n      geom;\n\n  function extract0(i) {\n    var j = i < 0 ? ~i : i;\n    (geomsByArc[j] || (geomsByArc[j] = [])).push({i: i, g: geom});\n  }\n\n  function extract1(arcs) {\n    arcs.forEach(extract0);\n  }\n\n  function extract2(arcs) {\n    arcs.forEach(extract1);\n  }\n\n  function extract3(arcs) {\n    arcs.forEach(extract2);\n  }\n\n  function geometry(o) {\n    switch (geom = o, o.type) {\n      case \"GeometryCollection\": o.geometries.forEach(geometry); break;\n      case \"LineString\": extract1(o.arcs); break;\n      case \"MultiLineString\": case \"Polygon\": extract2(o.arcs); break;\n      case \"MultiPolygon\": extract3(o.arcs); break;\n    }\n  }\n\n  geometry(object$$1);\n\n  geomsByArc.forEach(filter == null\n      ? function(geoms) { arcs.push(geoms[0].i); }\n      : function(geoms) { if (filter(geoms[0].g, geoms[geoms.length - 1].g)) arcs.push(geoms[0].i); });\n\n  return arcs;\n}\n\nfunction planarRingArea(ring) {\n  var i = -1, n = ring.length, a, b = ring[n - 1], area = 0;\n  while (++i < n) a = b, b = ring[i], area += a[0] * b[1] - a[1] * b[0];\n  return Math.abs(area); // Note: doubled area!\n}\n\nvar merge = function(topology) {\n  return object(topology, mergeArcs.apply(this, arguments));\n};\n\nfunction mergeArcs(topology, objects) {\n  var polygonsByArc = {},\n      polygons = [],\n      groups = [];\n\n  objects.forEach(geometry);\n\n  function geometry(o) {\n    switch (o.type) {\n      case \"GeometryCollection\": o.geometries.forEach(geometry); break;\n      case \"Polygon\": extract(o.arcs); break;\n      case \"MultiPolygon\": o.arcs.forEach(extract); break;\n    }\n  }\n\n  function extract(polygon) {\n    polygon.forEach(function(ring) {\n      ring.forEach(function(arc) {\n        (polygonsByArc[arc = arc < 0 ? ~arc : arc] || (polygonsByArc[arc] = [])).push(polygon);\n      });\n    });\n    polygons.push(polygon);\n  }\n\n  function area(ring) {\n    return planarRingArea(object(topology, {type: \"Polygon\", arcs: [ring]}).coordinates[0]);\n  }\n\n  polygons.forEach(function(polygon) {\n    if (!polygon._) {\n      var group = [],\n          neighbors = [polygon];\n      polygon._ = 1;\n      groups.push(group);\n      while (polygon = neighbors.pop()) {\n        group.push(polygon);\n        polygon.forEach(function(ring) {\n          ring.forEach(function(arc) {\n            polygonsByArc[arc < 0 ? ~arc : arc].forEach(function(polygon) {\n              if (!polygon._) {\n                polygon._ = 1;\n                neighbors.push(polygon);\n              }\n            });\n          });\n        });\n      }\n    }\n  });\n\n  polygons.forEach(function(polygon) {\n    delete polygon._;\n  });\n\n  return {\n    type: \"MultiPolygon\",\n    arcs: groups.map(function(polygons) {\n      var arcs = [], n;\n\n      // Extract the exterior (unique) arcs.\n      polygons.forEach(function(polygon) {\n        polygon.forEach(function(ring) {\n          ring.forEach(function(arc) {\n            if (polygonsByArc[arc < 0 ? ~arc : arc].length < 2) {\n              arcs.push(arc);\n            }\n          });\n        });\n      });\n\n      // Stitch the arcs into one or more rings.\n      arcs = stitch(topology, arcs);\n\n      // If more than one ring is returned,\n      // at most one of these rings can be the exterior;\n      // choose the one with the greatest absolute area.\n      if ((n = arcs.length) > 1) {\n        for (var i = 1, k = area(arcs[0]), ki, t; i < n; ++i) {\n          if ((ki = area(arcs[i])) > k) {\n            t = arcs[0], arcs[0] = arcs[i], arcs[i] = t, k = ki;\n          }\n        }\n      }\n\n      return arcs;\n    })\n  };\n}\n\nvar bisect = function(a, x) {\n  var lo = 0, hi = a.length;\n  while (lo < hi) {\n    var mid = lo + hi >>> 1;\n    if (a[mid] < x) lo = mid + 1;\n    else hi = mid;\n  }\n  return lo;\n};\n\nvar neighbors = function(objects) {\n  var indexesByArc = {}, // arc index -> array of object indexes\n      neighbors = objects.map(function() { return []; });\n\n  function line(arcs, i) {\n    arcs.forEach(function(a) {\n      if (a < 0) a = ~a;\n      var o = indexesByArc[a];\n      if (o) o.push(i);\n      else indexesByArc[a] = [i];\n    });\n  }\n\n  function polygon(arcs, i) {\n    arcs.forEach(function(arc) { line(arc, i); });\n  }\n\n  function geometry(o, i) {\n    if (o.type === \"GeometryCollection\") o.geometries.forEach(function(o) { geometry(o, i); });\n    else if (o.type in geometryType) geometryType[o.type](o.arcs, i);\n  }\n\n  var geometryType = {\n    LineString: line,\n    MultiLineString: polygon,\n    Polygon: polygon,\n    MultiPolygon: function(arcs, i) { arcs.forEach(function(arc) { polygon(arc, i); }); }\n  };\n\n  objects.forEach(geometry);\n\n  for (var i in indexesByArc) {\n    for (var indexes = indexesByArc[i], m = indexes.length, j = 0; j < m; ++j) {\n      for (var k = j + 1; k < m; ++k) {\n        var ij = indexes[j], ik = indexes[k], n;\n        if ((n = neighbors[ij])[i = bisect(n, ik)] !== ik) n.splice(i, 0, ik);\n        if ((n = neighbors[ik])[i = bisect(n, ij)] !== ij) n.splice(i, 0, ij);\n      }\n    }\n  }\n\n  return neighbors;\n};\n\nvar quantize = function(topology, n) {\n  if (!((n = Math.floor(n)) >= 2)) throw new Error(\"n must be ≥2\");\n  if (topology.transform) throw new Error(\"already quantized\");\n  var bb = bbox(topology), name,\n      dx = bb[0], kx = (bb[2] - dx) / (n - 1) || 1,\n      dy = bb[1], ky = (bb[3] - dy) / (n - 1) || 1;\n\n  function quantizePoint(p) {\n    p[0] = Math.round((p[0] - dx) / kx);\n    p[1] = Math.round((p[1] - dy) / ky);\n  }\n\n  function quantizeGeometry(o) {\n    switch (o.type) {\n      case \"GeometryCollection\": o.geometries.forEach(quantizeGeometry); break;\n      case \"Point\": quantizePoint(o.coordinates); break;\n      case \"MultiPoint\": o.coordinates.forEach(quantizePoint); break;\n    }\n  }\n\n  topology.arcs.forEach(function(arc) {\n    var i = 1,\n        j = 1,\n        n = arc.length,\n        pi = arc[0],\n        x0 = pi[0] = Math.round((pi[0] - dx) / kx),\n        y0 = pi[1] = Math.round((pi[1] - dy) / ky),\n        pj,\n        x1,\n        y1;\n\n    for (; i < n; ++i) {\n      pi = arc[i];\n      x1 = Math.round((pi[0] - dx) / kx);\n      y1 = Math.round((pi[1] - dy) / ky);\n      if (x1 !== x0 || y1 !== y0) {\n        pj = arc[j++];\n        pj[0] = x1 - x0, x0 = x1;\n        pj[1] = y1 - y0, y0 = y1;\n      }\n    }\n\n    if (j < 2) {\n      pj = arc[j++];\n      pj[0] = 0;\n      pj[1] = 0;\n    }\n\n    arc.length = j;\n  });\n\n  for (name in topology.objects) {\n    quantizeGeometry(topology.objects[name]);\n  }\n\n  topology.transform = {\n    scale: [kx, ky],\n    translate: [dx, dy]\n  };\n\n  return topology;\n};\n\nvar untransform = function(topology) {\n  if ((transform = topology.transform) == null) return identity;\n  var transform,\n      x0,\n      y0,\n      kx = transform.scale[0],\n      ky = transform.scale[1],\n      dx = transform.translate[0],\n      dy = transform.translate[1];\n  return function(point, i) {\n    if (!i) x0 = y0 = 0;\n    var x1 = Math.round((point[0] - dx) / kx),\n        y1 = Math.round((point[1] - dy) / ky);\n    point[0] = x1 - x0, x0 = x1;\n    point[1] = y1 - y0, y0 = y1;\n    return point;\n  };\n};\n\nexports.bbox = bbox;\nexports.feature = feature;\nexports.mesh = mesh;\nexports.meshArcs = meshArcs;\nexports.merge = merge;\nexports.mergeArcs = mergeArcs;\nexports.neighbors = neighbors;\nexports.quantize = quantize;\nexports.transform = transform;\nexports.untransform = untransform;\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n})));\n\n},{}],518:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = triangulateCube\n\nvar perm = _dereq_(\"permutation-rank\")\nvar sgn = _dereq_(\"permutation-parity\")\nvar gamma = _dereq_(\"gamma\")\n\nfunction triangulateCube(dimension) {\n  if(dimension < 0) {\n    return [ ]\n  }\n  if(dimension === 0) {\n    return [ [0] ]\n  }\n  var dfactorial = Math.round(gamma(dimension+1))|0\n  var result = []\n  for(var i=0; i<dfactorial; ++i) {\n    var p = perm.unrank(dimension, i)\n    var cell = [ 0 ]\n    var v = 0\n    for(var j=0; j<p.length; ++j) {\n      v += (1<<p[j])\n      cell.push(v)\n    }\n    if(sgn(p) < 1) {\n      cell[0] = v\n      cell[dimension] = 0\n    }\n    result.push(cell)\n  }\n  return result\n}\n},{\"gamma\":220,\"permutation-parity\":446,\"permutation-rank\":447}],519:[function(_dereq_,module,exports){\n'use strict'\n\nmodule.exports = createTurntableController\n\nvar filterVector = _dereq_('filtered-vector')\nvar invert44     = _dereq_('gl-mat4/invert')\nvar rotateM      = _dereq_('gl-mat4/rotate')\nvar cross        = _dereq_('gl-vec3/cross')\nvar normalize3   = _dereq_('gl-vec3/normalize')\nvar dot3         = _dereq_('gl-vec3/dot')\n\nfunction len3(x, y, z) {\n  return Math.sqrt(Math.pow(x, 2) + Math.pow(y, 2) + Math.pow(z, 2))\n}\n\nfunction clamp1(x) {\n  return Math.min(1.0, Math.max(-1.0, x))\n}\n\nfunction findOrthoPair(v) {\n  var vx = Math.abs(v[0])\n  var vy = Math.abs(v[1])\n  var vz = Math.abs(v[2])\n\n  var u = [0,0,0]\n  if(vx > Math.max(vy, vz)) {\n    u[2] = 1\n  } else if(vy > Math.max(vx, vz)) {\n    u[0] = 1\n  } else {\n    u[1] = 1\n  }\n\n  var vv = 0\n  var uv = 0\n  for(var i=0; i<3; ++i ) {\n    vv += v[i] * v[i]\n    uv += u[i] * v[i]\n  }\n  for(var i=0; i<3; ++i) {\n    u[i] -= (uv / vv) *  v[i]\n  }\n  normalize3(u, u)\n  return u\n}\n\nfunction TurntableController(zoomMin, zoomMax, center, up, right, radius, theta, phi) {\n  this.center = filterVector(center)\n  this.up     = filterVector(up)\n  this.right  = filterVector(right)\n  this.radius = filterVector([radius])\n  this.angle  = filterVector([theta, phi])\n  this.angle.bounds = [[-Infinity,-Math.PI/2], [Infinity,Math.PI/2]]\n  this.setDistanceLimits(zoomMin, zoomMax)\n\n  this.computedCenter = this.center.curve(0)\n  this.computedUp     = this.up.curve(0)\n  this.computedRight  = this.right.curve(0)\n  this.computedRadius = this.radius.curve(0)\n  this.computedAngle  = this.angle.curve(0)\n  this.computedToward = [0,0,0]\n  this.computedEye    = [0,0,0]\n  this.computedMatrix = new Array(16)\n  for(var i=0; i<16; ++i) {\n    this.computedMatrix[i] = 0.5\n  }\n\n  this.recalcMatrix(0)\n}\n\nvar proto = TurntableController.prototype\n\nproto.setDistanceLimits = function(minDist, maxDist) {\n  if(minDist > 0) {\n    minDist = Math.log(minDist)\n  } else {\n    minDist = -Infinity\n  }\n  if(maxDist > 0) {\n    maxDist = Math.log(maxDist)\n  } else {\n    maxDist = Infinity\n  }\n  maxDist = Math.max(maxDist, minDist)\n  this.radius.bounds[0][0] = minDist\n  this.radius.bounds[1][0] = maxDist\n}\n\nproto.getDistanceLimits = function(out) {\n  var bounds = this.radius.bounds[0]\n  if(out) {\n    out[0] = Math.exp(bounds[0][0])\n    out[1] = Math.exp(bounds[1][0])\n    return out\n  }\n  return [ Math.exp(bounds[0][0]), Math.exp(bounds[1][0]) ]\n}\n\nproto.recalcMatrix = function(t) {\n  //Recompute curves\n  this.center.curve(t)\n  this.up.curve(t)\n  this.right.curve(t)\n  this.radius.curve(t)\n  this.angle.curve(t)\n\n  //Compute frame for camera matrix\n  var up     = this.computedUp\n  var right  = this.computedRight\n  var uu = 0.0\n  var ur = 0.0\n  for(var i=0; i<3; ++i) {\n    ur += up[i] * right[i]\n    uu += up[i] * up[i]\n  }\n  var ul = Math.sqrt(uu)\n  var rr = 0.0\n  for(var i=0; i<3; ++i) {\n    right[i] -= up[i] * ur / uu\n    rr       += right[i] * right[i]\n    up[i]    /= ul\n  }\n  var rl = Math.sqrt(rr)\n  for(var i=0; i<3; ++i) {\n    right[i] /= rl\n  }\n\n  //Compute toward vector\n  var toward = this.computedToward\n  cross(toward, up, right)\n  normalize3(toward, toward)\n\n  //Compute angular parameters\n  var radius = Math.exp(this.computedRadius[0])\n  var theta  = this.computedAngle[0]\n  var phi    = this.computedAngle[1]\n\n  var ctheta = Math.cos(theta)\n  var stheta = Math.sin(theta)\n  var cphi   = Math.cos(phi)\n  var sphi   = Math.sin(phi)\n\n  var center = this.computedCenter\n\n  var wx = ctheta * cphi \n  var wy = stheta * cphi\n  var wz = sphi\n\n  var sx = -ctheta * sphi\n  var sy = -stheta * sphi\n  var sz = cphi\n\n  var eye = this.computedEye\n  var mat = this.computedMatrix\n  for(var i=0; i<3; ++i) {\n    var x      = wx * right[i] + wy * toward[i] + wz * up[i]\n    mat[4*i+1] = sx * right[i] + sy * toward[i] + sz * up[i]\n    mat[4*i+2] = x\n    mat[4*i+3] = 0.0\n  }\n\n  var ax = mat[1]\n  var ay = mat[5]\n  var az = mat[9]\n  var bx = mat[2]\n  var by = mat[6]\n  var bz = mat[10]\n  var cx = ay * bz - az * by\n  var cy = az * bx - ax * bz\n  var cz = ax * by - ay * bx\n  var cl = len3(cx, cy, cz)\n  cx /= cl\n  cy /= cl\n  cz /= cl\n  mat[0] = cx\n  mat[4] = cy\n  mat[8] = cz\n\n  for(var i=0; i<3; ++i) {\n    eye[i] = center[i] + mat[2+4*i]*radius\n  }\n\n  for(var i=0; i<3; ++i) {\n    var rr = 0.0\n    for(var j=0; j<3; ++j) {\n      rr += mat[i+4*j] * eye[j]\n    }\n    mat[12+i] = -rr\n  }\n  mat[15] = 1.0\n}\n\nproto.getMatrix = function(t, result) {\n  this.recalcMatrix(t)\n  var mat = this.computedMatrix\n  if(result) {\n    for(var i=0; i<16; ++i) {\n      result[i] = mat[i]\n    }\n    return result\n  }\n  return mat\n}\n\nvar zAxis = [0,0,0]\nproto.rotate = function(t, dtheta, dphi, droll) {\n  this.angle.move(t, dtheta, dphi)\n  if(droll) {\n    this.recalcMatrix(t)\n\n    var mat = this.computedMatrix\n    zAxis[0] = mat[2]\n    zAxis[1] = mat[6]\n    zAxis[2] = mat[10]\n\n    var up     = this.computedUp\n    var right  = this.computedRight\n    var toward = this.computedToward\n\n    for(var i=0; i<3; ++i) {\n      mat[4*i]   = up[i]\n      mat[4*i+1] = right[i]\n      mat[4*i+2] = toward[i]\n    }\n    rotateM(mat, mat, droll, zAxis)\n    for(var i=0; i<3; ++i) {\n      up[i] =    mat[4*i]\n      right[i] = mat[4*i+1]\n    }\n\n    this.up.set(t, up[0], up[1], up[2])\n    this.right.set(t, right[0], right[1], right[2])\n  }\n}\n\nproto.pan = function(t, dx, dy, dz) {\n  dx = dx || 0.0\n  dy = dy || 0.0\n  dz = dz || 0.0\n\n  this.recalcMatrix(t)\n  var mat = this.computedMatrix\n\n  var dist = Math.exp(this.computedRadius[0])\n\n  var ux = mat[1]\n  var uy = mat[5]\n  var uz = mat[9]\n  var ul = len3(ux, uy, uz)\n  ux /= ul\n  uy /= ul\n  uz /= ul\n\n  var rx = mat[0]\n  var ry = mat[4]\n  var rz = mat[8]\n  var ru = rx * ux + ry * uy + rz * uz\n  rx -= ux * ru\n  ry -= uy * ru\n  rz -= uz * ru\n  var rl = len3(rx, ry, rz)\n  rx /= rl\n  ry /= rl\n  rz /= rl\n\n  var vx = rx * dx + ux * dy\n  var vy = ry * dx + uy * dy\n  var vz = rz * dx + uz * dy\n  this.center.move(t, vx, vy, vz)\n\n  //Update z-component of radius\n  var radius = Math.exp(this.computedRadius[0])\n  radius = Math.max(1e-4, radius + dz)\n  this.radius.set(t, Math.log(radius))\n}\n\nproto.translate = function(t, dx, dy, dz) {\n  this.center.move(t,\n    dx||0.0,\n    dy||0.0,\n    dz||0.0)\n}\n\n//Recenters the coordinate axes\nproto.setMatrix = function(t, mat, axes, noSnap) {\n  \n  //Get the axes for tare\n  var ushift = 1\n  if(typeof axes === 'number') {\n    ushift = (axes)|0\n  } \n  if(ushift < 0 || ushift > 3) {\n    ushift = 1\n  }\n  var vshift = (ushift + 2) % 3\n  var fshift = (ushift + 1) % 3\n\n  //Recompute state for new t value\n  if(!mat) { \n    this.recalcMatrix(t)\n    mat = this.computedMatrix\n  }\n\n  //Get right and up vectors\n  var ux = mat[ushift]\n  var uy = mat[ushift+4]\n  var uz = mat[ushift+8]\n  if(!noSnap) {\n    var ul = len3(ux, uy, uz)\n    ux /= ul\n    uy /= ul\n    uz /= ul\n  } else {\n    var ax = Math.abs(ux)\n    var ay = Math.abs(uy)\n    var az = Math.abs(uz)\n    var am = Math.max(ax,ay,az)\n    if(ax === am) {\n      ux = (ux < 0) ? -1 : 1\n      uy = uz = 0\n    } else if(az === am) {\n      uz = (uz < 0) ? -1 : 1\n      ux = uy = 0\n    } else {\n      uy = (uy < 0) ? -1 : 1\n      ux = uz = 0\n    }\n  }\n\n  var rx = mat[vshift]\n  var ry = mat[vshift+4]\n  var rz = mat[vshift+8]\n  var ru = rx * ux + ry * uy + rz * uz\n  rx -= ux * ru\n  ry -= uy * ru\n  rz -= uz * ru\n  var rl = len3(rx, ry, rz)\n  rx /= rl\n  ry /= rl\n  rz /= rl\n  \n  var fx = uy * rz - uz * ry\n  var fy = uz * rx - ux * rz\n  var fz = ux * ry - uy * rx\n  var fl = len3(fx, fy, fz)\n  fx /= fl\n  fy /= fl\n  fz /= fl\n\n  this.center.jump(t, ex, ey, ez)\n  this.radius.idle(t)\n  this.up.jump(t, ux, uy, uz)\n  this.right.jump(t, rx, ry, rz)\n\n  var phi, theta\n  if(ushift === 2) {\n    var cx = mat[1]\n    var cy = mat[5]\n    var cz = mat[9]\n    var cr = cx * rx + cy * ry + cz * rz\n    var cf = cx * fx + cy * fy + cz * fz\n    if(tu < 0) {\n      phi = -Math.PI/2\n    } else {\n      phi = Math.PI/2\n    }\n    theta = Math.atan2(cf, cr)\n  } else {\n    var tx = mat[2]\n    var ty = mat[6]\n    var tz = mat[10]\n    var tu = tx * ux + ty * uy + tz * uz\n    var tr = tx * rx + ty * ry + tz * rz\n    var tf = tx * fx + ty * fy + tz * fz\n\n    phi = Math.asin(clamp1(tu))\n    theta = Math.atan2(tf, tr)\n  }\n\n  this.angle.jump(t, theta, phi)\n\n  this.recalcMatrix(t)\n  var dx = mat[2]\n  var dy = mat[6]\n  var dz = mat[10]\n\n  var imat = this.computedMatrix\n  invert44(imat, mat)\n  var w  = imat[15]\n  var ex = imat[12] / w\n  var ey = imat[13] / w\n  var ez = imat[14] / w\n\n  var gs = Math.exp(this.computedRadius[0])\n  this.center.jump(t, ex-dx*gs, ey-dy*gs, ez-dz*gs)\n}\n\nproto.lastT = function() {\n  return Math.max(\n    this.center.lastT(),\n    this.up.lastT(),\n    this.right.lastT(),\n    this.radius.lastT(),\n    this.angle.lastT())\n}\n\nproto.idle = function(t) {\n  this.center.idle(t)\n  this.up.idle(t)\n  this.right.idle(t)\n  this.radius.idle(t)\n  this.angle.idle(t)\n}\n\nproto.flush = function(t) {\n  this.center.flush(t)\n  this.up.flush(t)\n  this.right.flush(t)\n  this.radius.flush(t)\n  this.angle.flush(t)\n}\n\nproto.setDistance = function(t, d) {\n  if(d > 0) {\n    this.radius.set(t, Math.log(d))\n  }\n}\n\nproto.lookAt = function(t, eye, center, up) {\n  this.recalcMatrix(t)\n\n  eye    = eye    || this.computedEye\n  center = center || this.computedCenter\n  up     = up     || this.computedUp\n\n  var ux = up[0]\n  var uy = up[1]\n  var uz = up[2]\n  var ul = len3(ux, uy, uz)\n  if(ul < 1e-6) {\n    return\n  }\n  ux /= ul\n  uy /= ul\n  uz /= ul\n\n  var tx = eye[0] - center[0]\n  var ty = eye[1] - center[1]\n  var tz = eye[2] - center[2]\n  var tl = len3(tx, ty, tz)\n  if(tl < 1e-6) {\n    return\n  }\n  tx /= tl\n  ty /= tl\n  tz /= tl\n\n  var right = this.computedRight\n  var rx = right[0]\n  var ry = right[1]\n  var rz = right[2]\n  var ru = ux*rx + uy*ry + uz*rz\n  rx -= ru * ux\n  ry -= ru * uy\n  rz -= ru * uz\n  var rl = len3(rx, ry, rz)\n\n  if(rl < 0.01) {\n    rx = uy * tz - uz * ty\n    ry = uz * tx - ux * tz\n    rz = ux * ty - uy * tx\n    rl = len3(rx, ry, rz)\n    if(rl < 1e-6) {\n      return\n    }\n  }\n  rx /= rl\n  ry /= rl\n  rz /= rl\n\n  this.up.set(t, ux, uy, uz)\n  this.right.set(t, rx, ry, rz)\n  this.center.set(t, center[0], center[1], center[2])\n  this.radius.set(t, Math.log(tl))\n\n  var fx = uy * rz - uz * ry\n  var fy = uz * rx - ux * rz\n  var fz = ux * ry - uy * rx\n  var fl = len3(fx, fy, fz)\n  fx /= fl\n  fy /= fl\n  fz /= fl\n\n  var tu = ux*tx + uy*ty + uz*tz\n  var tr = rx*tx + ry*ty + rz*tz\n  var tf = fx*tx + fy*ty + fz*tz\n\n  var phi   = Math.asin(clamp1(tu))\n  var theta = Math.atan2(tf, tr)\n\n  var angleState = this.angle._state\n  var lastTheta  = angleState[angleState.length-1]\n  var lastPhi    = angleState[angleState.length-2]\n  lastTheta      = lastTheta % (2.0 * Math.PI)\n  var dp = Math.abs(lastTheta + 2.0 * Math.PI - theta)\n  var d0 = Math.abs(lastTheta - theta)\n  var dn = Math.abs(lastTheta - 2.0 * Math.PI - theta)\n  if(dp < d0) {\n    lastTheta += 2.0 * Math.PI\n  }\n  if(dn < d0) {\n    lastTheta -= 2.0 * Math.PI\n  }\n\n  this.angle.jump(this.angle.lastT(), lastTheta, lastPhi)\n  this.angle.set(t, theta, phi)\n}\n\nfunction createTurntableController(options) {\n  options = options || {}\n\n  var center = options.center || [0,0,0]\n  var up     = options.up     || [0,1,0]\n  var right  = options.right  || findOrthoPair(up)\n  var radius = options.radius || 1.0\n  var theta  = options.theta  || 0.0\n  var phi    = options.phi    || 0.0\n\n  center = [].slice.call(center, 0, 3)\n\n  up = [].slice.call(up, 0, 3)\n  normalize3(up, up)\n\n  right = [].slice.call(right, 0, 3)\n  normalize3(right, right)\n\n  if('eye' in options) {\n    var eye = options.eye\n    var toward = [\n      eye[0]-center[0],\n      eye[1]-center[1],\n      eye[2]-center[2]\n    ]\n    cross(right, toward, up)\n    if(len3(right[0], right[1], right[2]) < 1e-6) {\n      right = findOrthoPair(up)\n    } else {\n      normalize3(right, right)\n    }\n\n    radius = len3(toward[0], toward[1], toward[2])\n\n    var ut = dot3(up, toward) / radius\n    var rt = dot3(right, toward) / radius\n    phi    = Math.acos(ut)\n    theta  = Math.acos(rt)\n  }\n\n  //Use logarithmic coordinates for radius\n  radius = Math.log(radius)\n\n  //Return the controller\n  return new TurntableController(\n    options.zoomMin,\n    options.zoomMax,\n    center,\n    up,\n    right,\n    radius,\n    theta,\n    phi)\n}\n},{\"filtered-vector\":215,\"gl-mat4/invert\":254,\"gl-mat4/rotate\":258,\"gl-vec3/cross\":317,\"gl-vec3/dot\":322,\"gl-vec3/normalize\":339}],520:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = twoProduct\n\nvar SPLITTER = +(Math.pow(2, 27) + 1.0)\n\nfunction twoProduct(a, b, result) {\n  var x = a * b\n\n  var c = SPLITTER * a\n  var abig = c - a\n  var ahi = c - abig\n  var alo = a - ahi\n\n  var d = SPLITTER * b\n  var bbig = d - b\n  var bhi = d - bbig\n  var blo = b - bhi\n\n  var err1 = x - (ahi * bhi)\n  var err2 = err1 - (alo * bhi)\n  var err3 = err2 - (ahi * blo)\n\n  var y = alo * blo - err3\n\n  if(result) {\n    result[0] = y\n    result[1] = x\n    return result\n  }\n\n  return [ y, x ]\n}\n},{}],521:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = fastTwoSum\n\nfunction fastTwoSum(a, b, result) {\n\tvar x = a + b\n\tvar bv = x - a\n\tvar av = x - bv\n\tvar br = b - bv\n\tvar ar = a - av\n\tif(result) {\n\t\tresult[0] = ar + br\n\t\tresult[1] = x\n\t\treturn result\n\t}\n\treturn [ar+br, x]\n}\n},{}],522:[function(_dereq_,module,exports){\n(function (global,Buffer){\n'use strict'\n\nvar bits = _dereq_('bit-twiddle')\nvar dup = _dereq_('dup')\n\n//Legacy pool support\nif(!global.__TYPEDARRAY_POOL) {\n  global.__TYPEDARRAY_POOL = {\n      UINT8   : dup([32, 0])\n    , UINT16  : dup([32, 0])\n    , UINT32  : dup([32, 0])\n    , INT8    : dup([32, 0])\n    , INT16   : dup([32, 0])\n    , INT32   : dup([32, 0])\n    , FLOAT   : dup([32, 0])\n    , DOUBLE  : dup([32, 0])\n    , DATA    : dup([32, 0])\n    , UINT8C  : dup([32, 0])\n    , BUFFER  : dup([32, 0])\n  }\n}\n\nvar hasUint8C = (typeof Uint8ClampedArray) !== 'undefined'\nvar POOL = global.__TYPEDARRAY_POOL\n\n//Upgrade pool\nif(!POOL.UINT8C) {\n  POOL.UINT8C = dup([32, 0])\n}\nif(!POOL.BUFFER) {\n  POOL.BUFFER = dup([32, 0])\n}\n\n//New technique: Only allocate from ArrayBufferView and Buffer\nvar DATA    = POOL.DATA\n  , BUFFER  = POOL.BUFFER\n\nexports.free = function free(array) {\n  if(Buffer.isBuffer(array)) {\n    BUFFER[bits.log2(array.length)].push(array)\n  } else {\n    if(Object.prototype.toString.call(array) !== '[object ArrayBuffer]') {\n      array = array.buffer\n    }\n    if(!array) {\n      return\n    }\n    var n = array.length || array.byteLength\n    var log_n = bits.log2(n)|0\n    DATA[log_n].push(array)\n  }\n}\n\nfunction freeArrayBuffer(buffer) {\n  if(!buffer) {\n    return\n  }\n  var n = buffer.length || buffer.byteLength\n  var log_n = bits.log2(n)\n  DATA[log_n].push(buffer)\n}\n\nfunction freeTypedArray(array) {\n  freeArrayBuffer(array.buffer)\n}\n\nexports.freeUint8 =\nexports.freeUint16 =\nexports.freeUint32 =\nexports.freeInt8 =\nexports.freeInt16 =\nexports.freeInt32 =\nexports.freeFloat32 = \nexports.freeFloat =\nexports.freeFloat64 = \nexports.freeDouble = \nexports.freeUint8Clamped = \nexports.freeDataView = freeTypedArray\n\nexports.freeArrayBuffer = freeArrayBuffer\n\nexports.freeBuffer = function freeBuffer(array) {\n  BUFFER[bits.log2(array.length)].push(array)\n}\n\nexports.malloc = function malloc(n, dtype) {\n  if(dtype === undefined || dtype === 'arraybuffer') {\n    return mallocArrayBuffer(n)\n  } else {\n    switch(dtype) {\n      case 'uint8':\n        return mallocUint8(n)\n      case 'uint16':\n        return mallocUint16(n)\n      case 'uint32':\n        return mallocUint32(n)\n      case 'int8':\n        return mallocInt8(n)\n      case 'int16':\n        return mallocInt16(n)\n      case 'int32':\n        return mallocInt32(n)\n      case 'float':\n      case 'float32':\n        return mallocFloat(n)\n      case 'double':\n      case 'float64':\n        return mallocDouble(n)\n      case 'uint8_clamped':\n        return mallocUint8Clamped(n)\n      case 'buffer':\n        return mallocBuffer(n)\n      case 'data':\n      case 'dataview':\n        return mallocDataView(n)\n\n      default:\n        return null\n    }\n  }\n  return null\n}\n\nfunction mallocArrayBuffer(n) {\n  var n = bits.nextPow2(n)\n  var log_n = bits.log2(n)\n  var d = DATA[log_n]\n  if(d.length > 0) {\n    return d.pop()\n  }\n  return new ArrayBuffer(n)\n}\nexports.mallocArrayBuffer = mallocArrayBuffer\n\nfunction mallocUint8(n) {\n  return new Uint8Array(mallocArrayBuffer(n), 0, n)\n}\nexports.mallocUint8 = mallocUint8\n\nfunction mallocUint16(n) {\n  return new Uint16Array(mallocArrayBuffer(2*n), 0, n)\n}\nexports.mallocUint16 = mallocUint16\n\nfunction mallocUint32(n) {\n  return new Uint32Array(mallocArrayBuffer(4*n), 0, n)\n}\nexports.mallocUint32 = mallocUint32\n\nfunction mallocInt8(n) {\n  return new Int8Array(mallocArrayBuffer(n), 0, n)\n}\nexports.mallocInt8 = mallocInt8\n\nfunction mallocInt16(n) {\n  return new Int16Array(mallocArrayBuffer(2*n), 0, n)\n}\nexports.mallocInt16 = mallocInt16\n\nfunction mallocInt32(n) {\n  return new Int32Array(mallocArrayBuffer(4*n), 0, n)\n}\nexports.mallocInt32 = mallocInt32\n\nfunction mallocFloat(n) {\n  return new Float32Array(mallocArrayBuffer(4*n), 0, n)\n}\nexports.mallocFloat32 = exports.mallocFloat = mallocFloat\n\nfunction mallocDouble(n) {\n  return new Float64Array(mallocArrayBuffer(8*n), 0, n)\n}\nexports.mallocFloat64 = exports.mallocDouble = mallocDouble\n\nfunction mallocUint8Clamped(n) {\n  if(hasUint8C) {\n    return new Uint8ClampedArray(mallocArrayBuffer(n), 0, n)\n  } else {\n    return mallocUint8(n)\n  }\n}\nexports.mallocUint8Clamped = mallocUint8Clamped\n\nfunction mallocDataView(n) {\n  return new DataView(mallocArrayBuffer(n), 0, n)\n}\nexports.mallocDataView = mallocDataView\n\nfunction mallocBuffer(n) {\n  n = bits.nextPow2(n)\n  var log_n = bits.log2(n)\n  var cache = BUFFER[log_n]\n  if(cache.length > 0) {\n    return cache.pop()\n  }\n  return new Buffer(n)\n}\nexports.mallocBuffer = mallocBuffer\n\nexports.clearCache = function clearCache() {\n  for(var i=0; i<32; ++i) {\n    POOL.UINT8[i].length = 0\n    POOL.UINT16[i].length = 0\n    POOL.UINT32[i].length = 0\n    POOL.INT8[i].length = 0\n    POOL.INT16[i].length = 0\n    POOL.INT32[i].length = 0\n    POOL.FLOAT[i].length = 0\n    POOL.DOUBLE[i].length = 0\n    POOL.UINT8C[i].length = 0\n    DATA[i].length = 0\n    BUFFER[i].length = 0\n  }\n}\n}).call(this,typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {},_dereq_(\"buffer\").Buffer)\n},{\"bit-twiddle\":80,\"buffer\":93,\"dup\":155}],523:[function(_dereq_,module,exports){\n\"use strict\"; \"use restrict\";\n\nmodule.exports = UnionFind;\n\nfunction UnionFind(count) {\n  this.roots = new Array(count);\n  this.ranks = new Array(count);\n  \n  for(var i=0; i<count; ++i) {\n    this.roots[i] = i;\n    this.ranks[i] = 0;\n  }\n}\n\nvar proto = UnionFind.prototype\n\nObject.defineProperty(proto, \"length\", {\n  \"get\": function() {\n    return this.roots.length\n  }\n})\n\nproto.makeSet = function() {\n  var n = this.roots.length;\n  this.roots.push(n);\n  this.ranks.push(0);\n  return n;\n}\n\nproto.find = function(x) {\n  var x0 = x\n  var roots = this.roots;\n  while(roots[x] !== x) {\n    x = roots[x]\n  }\n  while(roots[x0] !== x) {\n    var y = roots[x0]\n    roots[x0] = x\n    x0 = y\n  }\n  return x;\n}\n\nproto.link = function(x, y) {\n  var xr = this.find(x)\n    , yr = this.find(y);\n  if(xr === yr) {\n    return;\n  }\n  var ranks = this.ranks\n    , roots = this.roots\n    , xd    = ranks[xr]\n    , yd    = ranks[yr];\n  if(xd < yd) {\n    roots[xr] = yr;\n  } else if(yd < xd) {\n    roots[yr] = xr;\n  } else {\n    roots[yr] = xr;\n    ++ranks[xr];\n  }\n}\n},{}],524:[function(_dereq_,module,exports){\n\"use strict\"\n\nfunction unique_pred(list, compare) {\n  var ptr = 1\n    , len = list.length\n    , a=list[0], b=list[0]\n  for(var i=1; i<len; ++i) {\n    b = a\n    a = list[i]\n    if(compare(a, b)) {\n      if(i === ptr) {\n        ptr++\n        continue\n      }\n      list[ptr++] = a\n    }\n  }\n  list.length = ptr\n  return list\n}\n\nfunction unique_eq(list) {\n  var ptr = 1\n    , len = list.length\n    , a=list[0], b = list[0]\n  for(var i=1; i<len; ++i, b=a) {\n    b = a\n    a = list[i]\n    if(a !== b) {\n      if(i === ptr) {\n        ptr++\n        continue\n      }\n      list[ptr++] = a\n    }\n  }\n  list.length = ptr\n  return list\n}\n\nfunction unique(list, compare, sorted) {\n  if(list.length === 0) {\n    return list\n  }\n  if(compare) {\n    if(!sorted) {\n      list.sort(compare)\n    }\n    return unique_pred(list, compare)\n  }\n  if(!sorted) {\n    list.sort()\n  }\n  return unique_eq(list)\n}\n\nmodule.exports = unique\n\n},{}],525:[function(_dereq_,module,exports){\nvar reg = /[\\'\\\"]/\n\nmodule.exports = function unquote(str) {\n  if (!str) {\n    return ''\n  }\n  if (reg.test(str.charAt(0))) {\n    str = str.substr(1)\n  }\n  if (reg.test(str.charAt(str.length - 1))) {\n    str = str.substr(0, str.length - 1)\n  }\n  return str\n}\n\n},{}],526:[function(_dereq_,module,exports){\n/**\r\n * @module update-diff\r\n */\r\n\r\n'use strict'\r\n\r\nmodule.exports = function updateDiff (obj, diff, mappers) {\r\n\tif (!Array.isArray(mappers)) mappers = [].slice.call(arguments, 2)\r\n\r\n\tfor (var i = 0, l = mappers.length; i < l; i++) {\r\n\t\tvar dict = mappers[i]\r\n\t\tfor (var prop in dict) {\r\n\t\t\tif (diff[prop] !== undefined && !Array.isArray(diff[prop]) && obj[prop] === diff[prop]) continue\r\n\r\n\t\t\tif (prop in diff) {\r\n\t\t\t\tvar result\r\n\r\n\t\t\t\tif (dict[prop] === true) result = diff[prop]\r\n\t\t\t\telse if (dict[prop] === false) continue\r\n\t\t\t\telse if (typeof dict[prop] === 'function') {\r\n\t\t\t\t\tresult = dict[prop](diff[prop], obj, diff)\r\n\t\t\t\t\tif (result === undefined) continue\r\n\t\t\t\t}\r\n\r\n\t\t\t\tobj[prop] = result\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n\r\n\treturn obj\r\n}\r\n\n},{}],527:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = createText\n\nvar vectorizeText = _dereq_(\"./lib/vtext\")\nvar defaultCanvas = null\nvar defaultContext = null\n\nif(typeof document !== 'undefined') {\n  defaultCanvas = document.createElement('canvas')\n  defaultCanvas.width = 8192\n  defaultCanvas.height = 1024\n  defaultContext = defaultCanvas.getContext(\"2d\")\n}\n\nfunction createText(str, options) {\n  if((typeof options !== \"object\") || (options === null)) {\n    options = {}\n  }\n  return vectorizeText(\n    str,\n    options.canvas || defaultCanvas,\n    options.context || defaultContext,\n    options)\n}\n\n},{\"./lib/vtext\":528}],528:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = vectorizeText\nmodule.exports.processPixels = processPixels\n\nvar surfaceNets = _dereq_('surface-nets')\nvar ndarray = _dereq_('ndarray')\nvar simplify = _dereq_('simplify-planar-graph')\nvar cleanPSLG = _dereq_('clean-pslg')\nvar cdt2d = _dereq_('cdt2d')\nvar toPolygonCrappy = _dereq_('planar-graph-to-polyline')\n\nfunction transformPositions(positions, options, size) {\n  var align = options.textAlign || \"start\"\n  var baseline = options.textBaseline || \"alphabetic\"\n\n  var lo = [1<<30, 1<<30]\n  var hi = [0,0]\n  var n = positions.length\n  for(var i=0; i<n; ++i) {\n    var p = positions[i]\n    for(var j=0; j<2; ++j) {\n      lo[j] = Math.min(lo[j], p[j])|0\n      hi[j] = Math.max(hi[j], p[j])|0\n    }\n  }\n\n  var xShift = 0\n  switch(align) {\n    case \"center\":\n      xShift = -0.5 * (lo[0] + hi[0])\n    break\n\n    case \"right\":\n    case \"end\":\n      xShift = -hi[0]\n    break\n\n    case \"left\":\n    case \"start\":\n      xShift = -lo[0]\n    break\n\n    default:\n      throw new Error(\"vectorize-text: Unrecognized textAlign: '\" + align + \"'\")\n  }\n\n  var yShift = 0\n  switch(baseline) {\n    case \"hanging\":\n    case \"top\":\n      yShift = -lo[1]\n    break\n\n    case \"middle\":\n      yShift = -0.5 * (lo[1] + hi[1])\n    break\n\n    case \"alphabetic\":\n    case \"ideographic\":\n      yShift = -3 * size\n    break\n\n    case \"bottom\":\n      yShift = -hi[1]\n    break\n\n    default:\n      throw new Error(\"vectorize-text: Unrecoginized textBaseline: '\" + baseline + \"'\")\n  }\n\n  var scale = 1.0 / size\n  if(\"lineHeight\" in options) {\n    scale *= +options.lineHeight\n  } else if(\"width\" in options) {\n    scale = options.width / (hi[0] - lo[0])\n  } else if(\"height\" in options) {\n    scale = options.height / (hi[1] - lo[1])\n  }\n\n  return positions.map(function(p) {\n    return [ scale * (p[0] + xShift), scale * (p[1] + yShift) ]\n  })\n}\n\nfunction getPixels(canvas, context, str, size) {\n  var width = Math.ceil(context.measureText(str).width + 2*size)|0\n  if(width > 8192) {\n    throw new Error(\"vectorize-text: String too long (sorry, this will get fixed later)\")\n  }\n  var height = 3 * size\n  if(canvas.height < height) {\n    canvas.height = height\n  }\n\n  context.fillStyle = \"#000\"\n  context.fillRect(0, 0, canvas.width, canvas.height)\n\n  context.fillStyle = \"#fff\"\n  context.fillText(str, size, 2*size)\n\n  //Cut pixels from image\n  var pixelData = context.getImageData(0, 0, width, height)\n  var pixels = ndarray(pixelData.data, [height, width, 4])\n\n  return pixels.pick(-1,-1,0).transpose(1,0)\n}\n\nfunction getContour(pixels, doSimplify) {\n  var contour = surfaceNets(pixels, 128)\n  if(doSimplify) {\n    return simplify(contour.cells, contour.positions, 0.25)\n  }\n  return {\n    edges: contour.cells,\n    positions: contour.positions\n  }\n}\n\nfunction processPixelsImpl(pixels, options, size, simplify) {\n  //Extract contour\n  var contour = getContour(pixels, simplify)\n\n  //Apply warp to positions\n  var positions = transformPositions(contour.positions, options, size)\n  var edges     = contour.edges\n  var flip = \"ccw\" === options.orientation\n\n  //Clean up the PSLG, resolve self intersections, etc.\n  cleanPSLG(positions, edges)\n\n  //If triangulate flag passed, triangulate the result\n  if(options.polygons || options.polygon || options.polyline) {\n    var result = toPolygonCrappy(edges, positions)\n    var nresult = new Array(result.length)\n    for(var i=0; i<result.length; ++i) {\n      var loops = result[i]\n      var nloops = new Array(loops.length)\n      for(var j=0; j<loops.length; ++j) {\n        var loop = loops[j]\n        var nloop = new Array(loop.length)\n        for(var k=0; k<loop.length; ++k) {\n          nloop[k] = positions[loop[k]].slice()\n        }\n        if(flip) {\n          nloop.reverse()\n        }\n        nloops[j] = nloop\n      }\n      nresult[i] = nloops\n    }\n    return nresult\n  } else if(options.triangles || options.triangulate || options.triangle) {\n    return {\n      cells: cdt2d(positions, edges, {\n        delaunay: false,\n        exterior: false,\n        interior: true\n      }),\n      positions: positions\n    }\n  } else {\n    return {\n      edges:     edges,\n      positions: positions\n    }\n  }\n}\n\nfunction processPixels(pixels, options, size) {\n  try {\n    return processPixelsImpl(pixels, options, size, true)\n  } catch(e) {}\n  try {\n    return processPixelsImpl(pixels, options, size, false)\n  } catch(e) {}\n  if(options.polygons || options.polyline || options.polygon) {\n    return []\n  }\n  if(options.triangles || options.triangulate || options.triangle) {\n    return {\n      cells: [],\n      positions: []\n    }\n  }\n  return {\n    edges: [],\n    positions: []\n  }\n}\n\nfunction vectorizeText(str, canvas, context, options) {\n  var size = options.size || 64\n  var family = options.font || \"normal\"\n\n  context.font = size + \"px \" + family\n  context.textAlign = \"start\"\n  context.textBaseline = \"alphabetic\"\n  context.direction = \"ltr\"\n\n  var pixels = getPixels(canvas, context, str, size)\n\n  return processPixels(pixels, options, size)\n}\n\n},{\"cdt2d\":94,\"clean-pslg\":104,\"ndarray\":433,\"planar-graph-to-polyline\":451,\"simplify-planar-graph\":500,\"surface-nets\":508}],529:[function(_dereq_,module,exports){\n// Copyright (C) 2011 Google Inc.\n//\n// Licensed under the Apache License, Version 2.0 (the \"License\");\n// you may not use this file except in compliance with the License.\n// You may obtain a copy of the License at\n//\n// http://www.apache.org/licenses/LICENSE-2.0\n//\n// Unless required by applicable law or agreed to in writing, software\n// distributed under the License is distributed on an \"AS IS\" BASIS,\n// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n// See the License for the specific language governing permissions and\n// limitations under the License.\n\n/**\n * @fileoverview Install a leaky WeakMap emulation on platforms that\n * don't provide a built-in one.\n *\n * <p>Assumes that an ES5 platform where, if {@code WeakMap} is\n * already present, then it conforms to the anticipated ES6\n * specification. To run this file on an ES5 or almost ES5\n * implementation where the {@code WeakMap} specification does not\n * quite conform, run <code>repairES5.js</code> first.\n *\n * <p>Even though WeakMapModule is not global, the linter thinks it\n * is, which is why it is in the overrides list below.\n *\n * <p>NOTE: Before using this WeakMap emulation in a non-SES\n * environment, see the note below about hiddenRecord.\n *\n * @author Mark S. Miller\n * @requires crypto, ArrayBuffer, Uint8Array, navigator, console\n * @overrides WeakMap, ses, Proxy\n * @overrides WeakMapModule\n */\n\n/**\n * This {@code WeakMap} emulation is observably equivalent to the\n * ES-Harmony WeakMap, but with leakier garbage collection properties.\n *\n * <p>As with true WeakMaps, in this emulation, a key does not\n * retain maps indexed by that key and (crucially) a map does not\n * retain the keys it indexes. A map by itself also does not retain\n * the values associated with that map.\n *\n * <p>However, the values associated with a key in some map are\n * retained so long as that key is retained and those associations are\n * not overridden. For example, when used to support membranes, all\n * values exported from a given membrane will live for the lifetime\n * they would have had in the absence of an interposed membrane. Even\n * when the membrane is revoked, all objects that would have been\n * reachable in the absence of revocation will still be reachable, as\n * far as the GC can tell, even though they will no longer be relevant\n * to ongoing computation.\n *\n * <p>The API implemented here is approximately the API as implemented\n * in FF6.0a1 and agreed to by MarkM, Andreas Gal, and Dave Herman,\n * rather than the offially approved proposal page. TODO(erights):\n * upgrade the ecmascript WeakMap proposal page to explain this API\n * change and present to EcmaScript committee for their approval.\n *\n * <p>The first difference between the emulation here and that in\n * FF6.0a1 is the presence of non enumerable {@code get___, has___,\n * set___, and delete___} methods on WeakMap instances to represent\n * what would be the hidden internal properties of a primitive\n * implementation. Whereas the FF6.0a1 WeakMap.prototype methods\n * require their {@code this} to be a genuine WeakMap instance (i.e.,\n * an object of {@code [[Class]]} \"WeakMap}), since there is nothing\n * unforgeable about the pseudo-internal method names used here,\n * nothing prevents these emulated prototype methods from being\n * applied to non-WeakMaps with pseudo-internal methods of the same\n * names.\n *\n * <p>Another difference is that our emulated {@code\n * WeakMap.prototype} is not itself a WeakMap. A problem with the\n * current FF6.0a1 API is that WeakMap.prototype is itself a WeakMap\n * providing ambient mutability and an ambient communications\n * channel. Thus, if a WeakMap is already present and has this\n * problem, repairES5.js wraps it in a safe wrappper in order to\n * prevent access to this channel. (See\n * PATCH_MUTABLE_FROZEN_WEAKMAP_PROTO in repairES5.js).\n */\n\n/**\n * If this is a full <a href=\n * \"http://code.google.com/p/es-lab/wiki/SecureableES5\"\n * >secureable ES5</a> platform and the ES-Harmony {@code WeakMap} is\n * absent, install an approximate emulation.\n *\n * <p>If WeakMap is present but cannot store some objects, use our approximate\n * emulation as a wrapper.\n *\n * <p>If this is almost a secureable ES5 platform, then WeakMap.js\n * should be run after repairES5.js.\n *\n * <p>See {@code WeakMap} for documentation of the garbage collection\n * properties of this WeakMap emulation.\n */\n(function WeakMapModule() {\n  \"use strict\";\n\n  if (typeof ses !== 'undefined' && ses.ok && !ses.ok()) {\n    // already too broken, so give up\n    return;\n  }\n\n  /**\n   * In some cases (current Firefox), we must make a choice betweeen a\n   * WeakMap which is capable of using all varieties of host objects as\n   * keys and one which is capable of safely using proxies as keys. See\n   * comments below about HostWeakMap and DoubleWeakMap for details.\n   *\n   * This function (which is a global, not exposed to guests) marks a\n   * WeakMap as permitted to do what is necessary to index all host\n   * objects, at the cost of making it unsafe for proxies.\n   *\n   * Do not apply this function to anything which is not a genuine\n   * fresh WeakMap.\n   */\n  function weakMapPermitHostObjects(map) {\n    // identity of function used as a secret -- good enough and cheap\n    if (map.permitHostObjects___) {\n      map.permitHostObjects___(weakMapPermitHostObjects);\n    }\n  }\n  if (typeof ses !== 'undefined') {\n    ses.weakMapPermitHostObjects = weakMapPermitHostObjects;\n  }\n\n  // IE 11 has no Proxy but has a broken WeakMap such that we need to patch\n  // it using DoubleWeakMap; this flag tells DoubleWeakMap so.\n  var doubleWeakMapCheckSilentFailure = false;\n\n  // Check if there is already a good-enough WeakMap implementation, and if so\n  // exit without replacing it.\n  if (typeof WeakMap === 'function') {\n    var HostWeakMap = WeakMap;\n    // There is a WeakMap -- is it good enough?\n    if (typeof navigator !== 'undefined' &&\n        /Firefox/.test(navigator.userAgent)) {\n      // We're now *assuming not*, because as of this writing (2013-05-06)\n      // Firefox's WeakMaps have a miscellany of objects they won't accept, and\n      // we don't want to make an exhaustive list, and testing for just one\n      // will be a problem if that one is fixed alone (as they did for Event).\n\n      // If there is a platform that we *can* reliably test on, here's how to\n      // do it:\n      //  var problematic = ... ;\n      //  var testHostMap = new HostWeakMap();\n      //  try {\n      //    testHostMap.set(problematic, 1);  // Firefox 20 will throw here\n      //    if (testHostMap.get(problematic) === 1) {\n      //      return;\n      //    }\n      //  } catch (e) {}\n\n    } else {\n      // IE 11 bug: WeakMaps silently fail to store frozen objects.\n      var testMap = new HostWeakMap();\n      var testObject = Object.freeze({});\n      testMap.set(testObject, 1);\n      if (testMap.get(testObject) !== 1) {\n        doubleWeakMapCheckSilentFailure = true;\n        // Fall through to installing our WeakMap.\n      } else {\n        module.exports = WeakMap;\n        return;\n      }\n    }\n  }\n\n  var hop = Object.prototype.hasOwnProperty;\n  var gopn = Object.getOwnPropertyNames;\n  var defProp = Object.defineProperty;\n  var isExtensible = Object.isExtensible;\n\n  /**\n   * Security depends on HIDDEN_NAME being both <i>unguessable</i> and\n   * <i>undiscoverable</i> by untrusted code.\n   *\n   * <p>Given the known weaknesses of Math.random() on existing\n   * browsers, it does not generate unguessability we can be confident\n   * of.\n   *\n   * <p>It is the monkey patching logic in this file that is intended\n   * to ensure undiscoverability. The basic idea is that there are\n   * three fundamental means of discovering properties of an object:\n   * The for/in loop, Object.keys(), and Object.getOwnPropertyNames(),\n   * as well as some proposed ES6 extensions that appear on our\n   * whitelist. The first two only discover enumerable properties, and\n   * we only use HIDDEN_NAME to name a non-enumerable property, so the\n   * only remaining threat should be getOwnPropertyNames and some\n   * proposed ES6 extensions that appear on our whitelist. We monkey\n   * patch them to remove HIDDEN_NAME from the list of properties they\n   * returns.\n   *\n   * <p>TODO(erights): On a platform with built-in Proxies, proxies\n   * could be used to trap and thereby discover the HIDDEN_NAME, so we\n   * need to monkey patch Proxy.create, Proxy.createFunction, etc, in\n   * order to wrap the provided handler with the real handler which\n   * filters out all traps using HIDDEN_NAME.\n   *\n   * <p>TODO(erights): Revisit Mike Stay's suggestion that we use an\n   * encapsulated function at a not-necessarily-secret name, which\n   * uses the Stiegler shared-state rights amplification pattern to\n   * reveal the associated value only to the WeakMap in which this key\n   * is associated with that value. Since only the key retains the\n   * function, the function can also remember the key without causing\n   * leakage of the key, so this doesn't violate our general gc\n   * goals. In addition, because the name need not be a guarded\n   * secret, we could efficiently handle cross-frame frozen keys.\n   */\n  var HIDDEN_NAME_PREFIX = 'weakmap:';\n  var HIDDEN_NAME = HIDDEN_NAME_PREFIX + 'ident:' + Math.random() + '___';\n\n  if (typeof crypto !== 'undefined' &&\n      typeof crypto.getRandomValues === 'function' &&\n      typeof ArrayBuffer === 'function' &&\n      typeof Uint8Array === 'function') {\n    var ab = new ArrayBuffer(25);\n    var u8s = new Uint8Array(ab);\n    crypto.getRandomValues(u8s);\n    HIDDEN_NAME = HIDDEN_NAME_PREFIX + 'rand:' +\n      Array.prototype.map.call(u8s, function(u8) {\n        return (u8 % 36).toString(36);\n      }).join('') + '___';\n  }\n\n  function isNotHiddenName(name) {\n    return !(\n        name.substr(0, HIDDEN_NAME_PREFIX.length) == HIDDEN_NAME_PREFIX &&\n        name.substr(name.length - 3) === '___');\n  }\n\n  /**\n   * Monkey patch getOwnPropertyNames to avoid revealing the\n   * HIDDEN_NAME.\n   *\n   * <p>The ES5.1 spec requires each name to appear only once, but as\n   * of this writing, this requirement is controversial for ES6, so we\n   * made this code robust against this case. If the resulting extra\n   * search turns out to be expensive, we can probably relax this once\n   * ES6 is adequately supported on all major browsers, iff no browser\n   * versions we support at that time have relaxed this constraint\n   * without providing built-in ES6 WeakMaps.\n   */\n  defProp(Object, 'getOwnPropertyNames', {\n    value: function fakeGetOwnPropertyNames(obj) {\n      return gopn(obj).filter(isNotHiddenName);\n    }\n  });\n\n  /**\n   * getPropertyNames is not in ES5 but it is proposed for ES6 and\n   * does appear in our whitelist, so we need to clean it too.\n   */\n  if ('getPropertyNames' in Object) {\n    var originalGetPropertyNames = Object.getPropertyNames;\n    defProp(Object, 'getPropertyNames', {\n      value: function fakeGetPropertyNames(obj) {\n        return originalGetPropertyNames(obj).filter(isNotHiddenName);\n      }\n    });\n  }\n\n  /**\n   * <p>To treat objects as identity-keys with reasonable efficiency\n   * on ES5 by itself (i.e., without any object-keyed collections), we\n   * need to add a hidden property to such key objects when we\n   * can. This raises several issues:\n   * <ul>\n   * <li>Arranging to add this property to objects before we lose the\n   *     chance, and\n   * <li>Hiding the existence of this new property from most\n   *     JavaScript code.\n   * <li>Preventing <i>certification theft</i>, where one object is\n   *     created falsely claiming to be the key of an association\n   *     actually keyed by another object.\n   * <li>Preventing <i>value theft</i>, where untrusted code with\n   *     access to a key object but not a weak map nevertheless\n   *     obtains access to the value associated with that key in that\n   *     weak map.\n   * </ul>\n   * We do so by\n   * <ul>\n   * <li>Making the name of the hidden property unguessable, so \"[]\"\n   *     indexing, which we cannot intercept, cannot be used to access\n   *     a property without knowing the name.\n   * <li>Making the hidden property non-enumerable, so we need not\n   *     worry about for-in loops or {@code Object.keys},\n   * <li>monkey patching those reflective methods that would\n   *     prevent extensions, to add this hidden property first,\n   * <li>monkey patching those methods that would reveal this\n   *     hidden property.\n   * </ul>\n   * Unfortunately, because of same-origin iframes, we cannot reliably\n   * add this hidden property before an object becomes\n   * non-extensible. Instead, if we encounter a non-extensible object\n   * without a hidden record that we can detect (whether or not it has\n   * a hidden record stored under a name secret to us), then we just\n   * use the key object itself to represent its identity in a brute\n   * force leaky map stored in the weak map, losing all the advantages\n   * of weakness for these.\n   */\n  function getHiddenRecord(key) {\n    if (key !== Object(key)) {\n      throw new TypeError('Not an object: ' + key);\n    }\n    var hiddenRecord = key[HIDDEN_NAME];\n    if (hiddenRecord && hiddenRecord.key === key) { return hiddenRecord; }\n    if (!isExtensible(key)) {\n      // Weak map must brute force, as explained in doc-comment above.\n      return void 0;\n    }\n\n    // The hiddenRecord and the key point directly at each other, via\n    // the \"key\" and HIDDEN_NAME properties respectively. The key\n    // field is for quickly verifying that this hidden record is an\n    // own property, not a hidden record from up the prototype chain.\n    //\n    // NOTE: Because this WeakMap emulation is meant only for systems like\n    // SES where Object.prototype is frozen without any numeric\n    // properties, it is ok to use an object literal for the hiddenRecord.\n    // This has two advantages:\n    // * It is much faster in a performance critical place\n    // * It avoids relying on Object.create(null), which had been\n    //   problematic on Chrome 28.0.1480.0. See\n    //   https://code.google.com/p/google-caja/issues/detail?id=1687\n    hiddenRecord = { key: key };\n\n    // When using this WeakMap emulation on platforms where\n    // Object.prototype might not be frozen and Object.create(null) is\n    // reliable, use the following two commented out lines instead.\n    // hiddenRecord = Object.create(null);\n    // hiddenRecord.key = key;\n\n    // Please contact us if you need this to work on platforms where\n    // Object.prototype might not be frozen and\n    // Object.create(null) might not be reliable.\n\n    try {\n      defProp(key, HIDDEN_NAME, {\n        value: hiddenRecord,\n        writable: false,\n        enumerable: false,\n        configurable: false\n      });\n      return hiddenRecord;\n    } catch (error) {\n      // Under some circumstances, isExtensible seems to misreport whether\n      // the HIDDEN_NAME can be defined.\n      // The circumstances have not been isolated, but at least affect\n      // Node.js v0.10.26 on TravisCI / Linux, but not the same version of\n      // Node.js on OS X.\n      return void 0;\n    }\n  }\n\n  /**\n   * Monkey patch operations that would make their argument\n   * non-extensible.\n   *\n   * <p>The monkey patched versions throw a TypeError if their\n   * argument is not an object, so it should only be done to functions\n   * that should throw a TypeError anyway if their argument is not an\n   * object.\n   */\n  (function(){\n    var oldFreeze = Object.freeze;\n    defProp(Object, 'freeze', {\n      value: function identifyingFreeze(obj) {\n        getHiddenRecord(obj);\n        return oldFreeze(obj);\n      }\n    });\n    var oldSeal = Object.seal;\n    defProp(Object, 'seal', {\n      value: function identifyingSeal(obj) {\n        getHiddenRecord(obj);\n        return oldSeal(obj);\n      }\n    });\n    var oldPreventExtensions = Object.preventExtensions;\n    defProp(Object, 'preventExtensions', {\n      value: function identifyingPreventExtensions(obj) {\n        getHiddenRecord(obj);\n        return oldPreventExtensions(obj);\n      }\n    });\n  })();\n\n  function constFunc(func) {\n    func.prototype = null;\n    return Object.freeze(func);\n  }\n\n  var calledAsFunctionWarningDone = false;\n  function calledAsFunctionWarning() {\n    // Future ES6 WeakMap is currently (2013-09-10) expected to reject WeakMap()\n    // but we used to permit it and do it ourselves, so warn only.\n    if (!calledAsFunctionWarningDone && typeof console !== 'undefined') {\n      calledAsFunctionWarningDone = true;\n      console.warn('WeakMap should be invoked as new WeakMap(), not ' +\n          'WeakMap(). This will be an error in the future.');\n    }\n  }\n\n  var nextId = 0;\n\n  var OurWeakMap = function() {\n    if (!(this instanceof OurWeakMap)) {  // approximate test for new ...()\n      calledAsFunctionWarning();\n    }\n\n    // We are currently (12/25/2012) never encountering any prematurely\n    // non-extensible keys.\n    var keys = []; // brute force for prematurely non-extensible keys.\n    var values = []; // brute force for corresponding values.\n    var id = nextId++;\n\n    function get___(key, opt_default) {\n      var index;\n      var hiddenRecord = getHiddenRecord(key);\n      if (hiddenRecord) {\n        return id in hiddenRecord ? hiddenRecord[id] : opt_default;\n      } else {\n        index = keys.indexOf(key);\n        return index >= 0 ? values[index] : opt_default;\n      }\n    }\n\n    function has___(key) {\n      var hiddenRecord = getHiddenRecord(key);\n      if (hiddenRecord) {\n        return id in hiddenRecord;\n      } else {\n        return keys.indexOf(key) >= 0;\n      }\n    }\n\n    function set___(key, value) {\n      var index;\n      var hiddenRecord = getHiddenRecord(key);\n      if (hiddenRecord) {\n        hiddenRecord[id] = value;\n      } else {\n        index = keys.indexOf(key);\n        if (index >= 0) {\n          values[index] = value;\n        } else {\n          // Since some browsers preemptively terminate slow turns but\n          // then continue computing with presumably corrupted heap\n          // state, we here defensively get keys.length first and then\n          // use it to update both the values and keys arrays, keeping\n          // them in sync.\n          index = keys.length;\n          values[index] = value;\n          // If we crash here, values will be one longer than keys.\n          keys[index] = key;\n        }\n      }\n      return this;\n    }\n\n    function delete___(key) {\n      var hiddenRecord = getHiddenRecord(key);\n      var index, lastIndex;\n      if (hiddenRecord) {\n        return id in hiddenRecord && delete hiddenRecord[id];\n      } else {\n        index = keys.indexOf(key);\n        if (index < 0) {\n          return false;\n        }\n        // Since some browsers preemptively terminate slow turns but\n        // then continue computing with potentially corrupted heap\n        // state, we here defensively get keys.length first and then use\n        // it to update both the keys and the values array, keeping\n        // them in sync. We update the two with an order of assignments,\n        // such that any prefix of these assignments will preserve the\n        // key/value correspondence, either before or after the delete.\n        // Note that this needs to work correctly when index === lastIndex.\n        lastIndex = keys.length - 1;\n        keys[index] = void 0;\n        // If we crash here, there's a void 0 in the keys array, but\n        // no operation will cause a \"keys.indexOf(void 0)\", since\n        // getHiddenRecord(void 0) will always throw an error first.\n        values[index] = values[lastIndex];\n        // If we crash here, values[index] cannot be found here,\n        // because keys[index] is void 0.\n        keys[index] = keys[lastIndex];\n        // If index === lastIndex and we crash here, then keys[index]\n        // is still void 0, since the aliasing killed the previous key.\n        keys.length = lastIndex;\n        // If we crash here, keys will be one shorter than values.\n        values.length = lastIndex;\n        return true;\n      }\n    }\n\n    return Object.create(OurWeakMap.prototype, {\n      get___:    { value: constFunc(get___) },\n      has___:    { value: constFunc(has___) },\n      set___:    { value: constFunc(set___) },\n      delete___: { value: constFunc(delete___) }\n    });\n  };\n\n  OurWeakMap.prototype = Object.create(Object.prototype, {\n    get: {\n      /**\n       * Return the value most recently associated with key, or\n       * opt_default if none.\n       */\n      value: function get(key, opt_default) {\n        return this.get___(key, opt_default);\n      },\n      writable: true,\n      configurable: true\n    },\n\n    has: {\n      /**\n       * Is there a value associated with key in this WeakMap?\n       */\n      value: function has(key) {\n        return this.has___(key);\n      },\n      writable: true,\n      configurable: true\n    },\n\n    set: {\n      /**\n       * Associate value with key in this WeakMap, overwriting any\n       * previous association if present.\n       */\n      value: function set(key, value) {\n        return this.set___(key, value);\n      },\n      writable: true,\n      configurable: true\n    },\n\n    'delete': {\n      /**\n       * Remove any association for key in this WeakMap, returning\n       * whether there was one.\n       *\n       * <p>Note that the boolean return here does not work like the\n       * {@code delete} operator. The {@code delete} operator returns\n       * whether the deletion succeeds at bringing about a state in\n       * which the deleted property is absent. The {@code delete}\n       * operator therefore returns true if the property was already\n       * absent, whereas this {@code delete} method returns false if\n       * the association was already absent.\n       */\n      value: function remove(key) {\n        return this.delete___(key);\n      },\n      writable: true,\n      configurable: true\n    }\n  });\n\n  if (typeof HostWeakMap === 'function') {\n    (function() {\n      // If we got here, then the platform has a WeakMap but we are concerned\n      // that it may refuse to store some key types. Therefore, make a map\n      // implementation which makes use of both as possible.\n\n      // In this mode we are always using double maps, so we are not proxy-safe.\n      // This combination does not occur in any known browser, but we had best\n      // be safe.\n      if (doubleWeakMapCheckSilentFailure && typeof Proxy !== 'undefined') {\n        Proxy = undefined;\n      }\n\n      function DoubleWeakMap() {\n        if (!(this instanceof OurWeakMap)) {  // approximate test for new ...()\n          calledAsFunctionWarning();\n        }\n\n        // Preferable, truly weak map.\n        var hmap = new HostWeakMap();\n\n        // Our hidden-property-based pseudo-weak-map. Lazily initialized in the\n        // 'set' implementation; thus we can avoid performing extra lookups if\n        // we know all entries actually stored are entered in 'hmap'.\n        var omap = undefined;\n\n        // Hidden-property maps are not compatible with proxies because proxies\n        // can observe the hidden name and either accidentally expose it or fail\n        // to allow the hidden property to be set. Therefore, we do not allow\n        // arbitrary WeakMaps to switch to using hidden properties, but only\n        // those which need the ability, and unprivileged code is not allowed\n        // to set the flag.\n        //\n        // (Except in doubleWeakMapCheckSilentFailure mode in which case we\n        // disable proxies.)\n        var enableSwitching = false;\n\n        function dget(key, opt_default) {\n          if (omap) {\n            return hmap.has(key) ? hmap.get(key)\n                : omap.get___(key, opt_default);\n          } else {\n            return hmap.get(key, opt_default);\n          }\n        }\n\n        function dhas(key) {\n          return hmap.has(key) || (omap ? omap.has___(key) : false);\n        }\n\n        var dset;\n        if (doubleWeakMapCheckSilentFailure) {\n          dset = function(key, value) {\n            hmap.set(key, value);\n            if (!hmap.has(key)) {\n              if (!omap) { omap = new OurWeakMap(); }\n              omap.set(key, value);\n            }\n            return this;\n          };\n        } else {\n          dset = function(key, value) {\n            if (enableSwitching) {\n              try {\n                hmap.set(key, value);\n              } catch (e) {\n                if (!omap) { omap = new OurWeakMap(); }\n                omap.set___(key, value);\n              }\n            } else {\n              hmap.set(key, value);\n            }\n            return this;\n          };\n        }\n\n        function ddelete(key) {\n          var result = !!hmap['delete'](key);\n          if (omap) { return omap.delete___(key) || result; }\n          return result;\n        }\n\n        return Object.create(OurWeakMap.prototype, {\n          get___:    { value: constFunc(dget) },\n          has___:    { value: constFunc(dhas) },\n          set___:    { value: constFunc(dset) },\n          delete___: { value: constFunc(ddelete) },\n          permitHostObjects___: { value: constFunc(function(token) {\n            if (token === weakMapPermitHostObjects) {\n              enableSwitching = true;\n            } else {\n              throw new Error('bogus call to permitHostObjects___');\n            }\n          })}\n        });\n      }\n      DoubleWeakMap.prototype = OurWeakMap.prototype;\n      module.exports = DoubleWeakMap;\n\n      // define .constructor to hide OurWeakMap ctor\n      Object.defineProperty(WeakMap.prototype, 'constructor', {\n        value: WeakMap,\n        enumerable: false,  // as default .constructor is\n        configurable: true,\n        writable: true\n      });\n    })();\n  } else {\n    // There is no host WeakMap, so we must use the emulation.\n\n    // Emulated WeakMaps are incompatible with native proxies (because proxies\n    // can observe the hidden name), so we must disable Proxy usage (in\n    // ArrayLike and Domado, currently).\n    if (typeof Proxy !== 'undefined') {\n      Proxy = undefined;\n    }\n\n    module.exports = OurWeakMap;\n  }\n})();\n\n},{}],530:[function(_dereq_,module,exports){\nvar hiddenStore = _dereq_('./hidden-store.js');\n\nmodule.exports = createStore;\n\nfunction createStore() {\n    var key = {};\n\n    return function (obj) {\n        if ((typeof obj !== 'object' || obj === null) &&\n            typeof obj !== 'function'\n        ) {\n            throw new Error('Weakmap-shim: Key must be object')\n        }\n\n        var store = obj.valueOf(key);\n        return store && store.identity === key ?\n            store : hiddenStore(obj, key);\n    };\n}\n\n},{\"./hidden-store.js\":531}],531:[function(_dereq_,module,exports){\nmodule.exports = hiddenStore;\n\nfunction hiddenStore(obj, key) {\n    var store = { identity: key };\n    var valueOf = obj.valueOf;\n\n    Object.defineProperty(obj, \"valueOf\", {\n        value: function (value) {\n            return value !== key ?\n                valueOf.apply(this, arguments) : store;\n        },\n        writable: true\n    });\n\n    return store;\n}\n\n},{}],532:[function(_dereq_,module,exports){\n// Original - @Gozola.\n// https://gist.github.com/Gozala/1269991\n// This is a reimplemented version (with a few bug fixes).\n\nvar createStore = _dereq_('./create-store.js');\n\nmodule.exports = weakMap;\n\nfunction weakMap() {\n    var privates = createStore();\n\n    return {\n        'get': function (key, fallback) {\n            var store = privates(key)\n            return store.hasOwnProperty('value') ?\n                store.value : fallback\n        },\n        'set': function (key, value) {\n            privates(key).value = value;\n            return this;\n        },\n        'has': function(key) {\n            return 'value' in privates(key);\n        },\n        'delete': function (key) {\n            return delete privates(key).value;\n        }\n    }\n}\n\n},{\"./create-store.js\":530}],533:[function(_dereq_,module,exports){\nvar getContext = _dereq_('get-canvas-context')\n\nmodule.exports = function getWebGLContext (opt) {\n  return getContext('webgl', opt)\n}\n\n},{\"get-canvas-context\":221}],534:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Traditional Chinese calendar for jQuery v2.0.2.\n   Written by Nicolas Riesco (enquiries@nicolasriesco.net) December 2016.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\nvar gregorianCalendar = main.instance();\n\n/** Implementation of the traditional Chinese calendar.\n    Source of calendar tables https://github.com/isee15/Lunar-Solar-Calendar-Converter .\n    @class ChineseCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction ChineseCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nChineseCalendar.prototype = new main.baseCalendar;\n\nassign(ChineseCalendar.prototype, {\n    /** The calendar name.\n        @memberof ChineseCalendar */\n    name: 'Chinese',\n     /** Julian date of start of Gregorian epoch: 1 January 0001 CE.\n        @memberof GregorianCalendar */\n    jdEpoch: 1721425.5,\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof ChineseCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        This calendar uses month indices to account for intercalary months. \n        @memberof ChineseCalendar */\n    minMonth: 0,\n    /** The first month in the year.\n        This calendar uses month indices to account for intercalary months. \n        @memberof ChineseCalendar */\n    firstMonth: 0,\n    /** The minimum day number.\n        @memberof ChineseCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof ChineseCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Chinese',\n            epochs: ['BEC', 'EC'],\n            monthNumbers: function(date, padded) {\n                if (typeof date === 'string') {\n                    var match = date.match(MONTH_NUMBER_REGEXP);\n                    return (match) ? match[0] : '';\n                }\n\n                var year = this._validateYear(date);\n                var monthIndex = date.month();\n\n                var month = '' + this.toChineseMonth(year, monthIndex);\n\n                if (padded && month.length < 2) {\n                    month = \"0\" + month;\n                }\n\n                if (this.isIntercalaryMonth(year, monthIndex)) {\n                    month += 'i';\n                }\n\n                return month;\n            },\n            monthNames: function(date) {\n                if (typeof date === 'string') {\n                    var match = date.match(MONTH_NAME_REGEXP);\n                    return (match) ? match[0] : '';\n                }\n\n                var year = this._validateYear(date);\n                var monthIndex = date.month();\n\n                var month = this.toChineseMonth(year, monthIndex);\n\n                var monthName = ['一月','二月','三月','四月','五月','六月',\n                    '七月','八月','九月','十月','十一月','十二月'][month - 1];\n\n                if (this.isIntercalaryMonth(year, monthIndex)) {\n                    monthName = '闰' + monthName;\n                }\n\n                return monthName;\n            },\n            monthNamesShort: function(date) {\n                if (typeof date === 'string') {\n                    var match = date.match(MONTH_SHORT_NAME_REGEXP);\n                    return (match) ? match[0] : '';\n                }\n\n                var year = this._validateYear(date);\n                var monthIndex = date.month();\n\n                var month = this.toChineseMonth(year, monthIndex);\n\n                var monthName = ['一','二','三','四','五','六',\n                    '七','八','九','十','十一','十二'][month - 1];\n\n                if (this.isIntercalaryMonth(year, monthIndex)) {\n                    monthName = '闰' + monthName;\n                }\n\n                return monthName;\n            },\n            parseMonth: function(year, monthString) {\n                year = this._validateYear(year);\n                var month = parseInt(monthString);\n                var isIntercalary;\n\n                if (!isNaN(month)) {\n                    var i = monthString[monthString.length - 1];\n                    isIntercalary = (i === 'i' || i === 'I');\n                } else {\n                    if (monthString[0] === '闰') {\n                        isIntercalary = true;\n                        monthString = monthString.substring(1);\n                    }\n                    if (monthString[monthString.length - 1] === '月') {\n                        monthString = monthString.substring(0, monthString.length - 1);\n                    }\n                    month = 1 +\n                        ['一','二','三','四','五','六',\n                        '七','八','九','十','十一','十二'].indexOf(monthString);\n                }\n\n                var monthIndex = this.toMonthIndex(year, month, isIntercalary);\n                return monthIndex;\n            },\n            dayNames: ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'],\n            dayNamesShort: ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],\n            dayNamesMin: ['Su', 'Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa'],\n            digits: null,\n            dateFormat: 'yyyy/mm/dd',\n            firstDay: 1,\n            isRTL: false\n        }\n    },\n\n    /** Check that a candidate date is from the same calendar and is valid.\n        @memberof BaseCalendar\n        @private\n        @param year {CDate|number} The date or the year to validate.\n        @param error {string} Error message if invalid.\n        @return {number} The year.\n        @throws Error if year out of range. */\n    _validateYear: function(year, error) {\n        if (year.year) {\n            year = year.year();\n        }\n\n        if (typeof year !== 'number' || year < 1888 || year > 2111) {\n            throw error.replace(/\\{0\\}/, this.local.name);\n        }\n\n        return year;\n    },\n\n    /** Retrieve the month index (i.e. accounting for intercalary months).\n        @memberof ChineseCalendar\n        @param year {number} The year.\n        @param month {number} The month (1 for first month).\n        @param [isIntercalary=false] {boolean} If month is intercalary.\n        @return {number} The month index (0 for first month).\n        @throws Error if an invalid month/year or a different calendar used. */\n    toMonthIndex: function(year, month, isIntercalary) {\n        // compute intercalary month in the year (0 if none)\n        var intercalaryMonth = this.intercalaryMonth(year);\n\n        // validate month\n        var invalidIntercalaryMonth = \n            (isIntercalary && month !== intercalaryMonth);\n        if (invalidIntercalaryMonth || month < 1 || month > 12) {\n            throw main.local.invalidMonth\n                .replace(/\\{0\\}/, this.local.name);\n        }\n\n        // compute month index\n        var monthIndex;\n\n        if (!intercalaryMonth) {\n            monthIndex = month - 1;\n        } else if(!isIntercalary && month <= intercalaryMonth) {\n            monthIndex = month - 1;\n        } else {\n            monthIndex = month;\n        }\n\n        return monthIndex;\n    },\n\n    /** Retrieve the month (i.e. accounting for intercalary months).\n        @memberof ChineseCalendar\n        @param year {CDate|number} The date or the year to examine.\n        @param monthIndex {number} The month index (0 for first month).\n        @return {number} The month (1 for first month).\n        @throws Error if an invalid month/year or a different calendar used. */\n    toChineseMonth: function(year, monthIndex) {\n        if (year.year) {\n            year = year.year();\n            monthIndex = year.month();\n        }\n\n        // compute intercalary month in the year (0 if none)\n        var intercalaryMonth = this.intercalaryMonth(year);\n\n        // validate month\n        var maxMonthIndex = (intercalaryMonth) ? 12 : 11;\n        if (monthIndex < 0 || monthIndex > maxMonthIndex) {\n            throw main.local.invalidMonth\n                .replace(/\\{0\\}/, this.local.name);\n        }\n\n        // compute Chinese month\n        var month;\n\n        if (!intercalaryMonth) {\n            month = monthIndex + 1;\n        } else if(monthIndex < intercalaryMonth) {\n            month = monthIndex + 1;\n        } else {\n            month = monthIndex;\n        }\n\n        return month;\n    },\n\n    /** Determine the intercalary month of a year (if any).\n        @memberof ChineseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The intercalary month number, or 0 if none.\n        @throws Error if an invalid year or a different calendar used. */\n    intercalaryMonth: function(year) {\n        year = this._validateYear(year);\n\n        var monthDaysTable = LUNAR_MONTH_DAYS[year - LUNAR_MONTH_DAYS[0]];\n        var intercalaryMonth = monthDaysTable >> 13;\n\n        return intercalaryMonth;\n    },\n\n    /** Determine whether this date is an intercalary month.\n        @memberof ChineseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [monthIndex] {number} The month index to examine.\n        @return {boolean} <code>true</code> if this is an intercalary month, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    isIntercalaryMonth: function(year, monthIndex) {\n        if (year.year) {\n            year = year.year();\n            monthIndex = year.month();\n        }\n\n        var intercalaryMonth = this.intercalaryMonth(year);\n\n        return !!intercalaryMonth && intercalaryMonth === monthIndex;\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof ChineseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        return (this.intercalaryMonth(year) !== 0);\n    },\n\n    /** Determine the week of the year for a date - ISO 8601.\n        @memberof ChineseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [monthIndex] {number} The month index to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, monthIndex, day) {\n        // compute Chinese new year\n        var validatedYear =\n            this._validateYear(year, main.local.invalidyear);\n        var packedDate =\n            CHINESE_NEW_YEAR[validatedYear - CHINESE_NEW_YEAR[0]];\n\n        var y = (packedDate >> 9) & 0xFFF;\n        var m = (packedDate >> 5) & 0x0F;\n        var d = packedDate & 0x1F;\n        \n        // find first Thrusday of the year\n        var firstThursday;\n        firstThursday = gregorianCalendar.newDate(y, m, d);\n        firstThursday.add(4 - (firstThursday.dayOfWeek() || 7), 'd');\n\n        // compute days from first Thursday\n        var offset =\n            this.toJD(year, monthIndex, day) - firstThursday.toJD();\n        return 1 + Math.floor(offset / 7);\n    },\n\n    /** Retrieve the number of months in a year.\n        @memberof ChineseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of months.\n        @throws Error if an invalid year or a different calendar used. */\n    monthsInYear: function(year) {\n        return (this.leapYear(year)) ? 13 : 12;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof ChineseCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [monthIndex] {number} The month index.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, monthIndex) {\n        if (year.year) {\n            monthIndex = year.month();\n            year = year.year();\n        }\n\n        year = this._validateYear(year);\n\n        var monthDaysTable = LUNAR_MONTH_DAYS[year - LUNAR_MONTH_DAYS[0]];\n\n        var intercalaryMonth = monthDaysTable >> 13;\n        var maxMonthIndex = (intercalaryMonth) ? 12 : 11;\n        if (monthIndex > maxMonthIndex) {\n            throw main.local.invalidMonth\n                .replace(/\\{0\\}/, this.local.name);\n        }\n\n        var daysInMonth = (monthDaysTable & (1 << (12 - monthIndex))) ?\n            30 : 29;\n\n        return daysInMonth;\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof ChineseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [monthIndex] {number} The month index to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, monthIndex, day) {\n        return (this.dayOfWeek(year, monthIndex, day) || 7) < 6;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof ChineseCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [monthIndex] {number} The month index to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, monthIndex, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        year = this._validateYear(date.year());\n        monthIndex = date.month();\n        day = date.day();\n\n        var isIntercalary = this.isIntercalaryMonth(year, monthIndex);\n        var month = this.toChineseMonth(year, monthIndex);\n\n        var solar = toSolar(year, month, day, isIntercalary);\n\n        return gregorianCalendar.toJD(solar.year, solar.month, solar.day);\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof ChineseCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        var date = gregorianCalendar.fromJD(jd);\n        var lunar = toLunar(date.year(), date.month(), date.day());\n        var monthIndex = this.toMonthIndex(\n            lunar.year, lunar.month, lunar.isIntercalary);\n        return this.newDate(lunar.year, monthIndex, lunar.day);\n    },\n\n    /** Create a new date from a string.\n        @memberof ChineseCalendar\n        @param dateString {string} String representing a Chinese date\n        @return {CDate} The new date.\n        @throws Error if an invalid date. */\n    fromString: function(dateString) {\n        var match = dateString.match(DATE_REGEXP);\n\n        var year = this._validateYear(+match[1]);\n\n        var month = +match[2];\n        var isIntercalary = !!match[3];\n        var monthIndex = this.toMonthIndex(year, month, isIntercalary);\n\n        var day = +match[4];\n\n        return this.newDate(year, monthIndex, day);\n    },\n\n    /** Add period(s) to a date.\n        Cater for no year zero.\n        @memberof ChineseCalendar\n        @param date {CDate} The starting date.\n        @param offset {number} The number of periods to adjust by.\n        @param period {string} One of 'y' for year, 'm' for month, 'w' for week, 'd' for day.\n        @return {CDate} The updated date.\n        @throws Error if a different calendar used. */\n    add: function(date, offset, period) {\n        var year = date.year();\n        var monthIndex = date.month();\n        var isIntercalary = this.isIntercalaryMonth(year, monthIndex);\n        var month = this.toChineseMonth(year, monthIndex);\n\n        var cdate = Object.getPrototypeOf(ChineseCalendar.prototype)\n            .add.call(this, date, offset, period);\n\n        if (period === 'y') {\n            // Resync month\n            var resultYear = cdate.year();\n            var resultMonthIndex = cdate.month();\n\n            // Using the fact the month index of an intercalary month\n            // equals its month number:\n            var resultCanBeIntercalaryMonth =\n                this.isIntercalaryMonth(resultYear, month);\n\n            var correctedMonthIndex =\n                (isIntercalary && resultCanBeIntercalaryMonth) ?\n                this.toMonthIndex(resultYear, month, true) :\n                this.toMonthIndex(resultYear, month, false);\n\n            if (correctedMonthIndex !== resultMonthIndex) {\n                cdate.month(correctedMonthIndex);\n            }\n        }\n\n        return cdate;\n    },\n});\n\n// Used by ChineseCalendar.prototype.fromString\nvar DATE_REGEXP = /^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m;\nvar MONTH_NUMBER_REGEXP = /^\\d?\\d[iI]?/m;\nvar MONTH_NAME_REGEXP = /^闰?十?[一二三四五六七八九]?月/m;\nvar MONTH_SHORT_NAME_REGEXP = /^闰?十?[一二三四五六七八九]?/m;\n\n// Chinese calendar implementation\nmain.calendars.chinese = ChineseCalendar;\n\n// Chinese calendar tables from year 1888 to 2111\n//\n// Source:\n// https://github.com/isee15/Lunar-Solar-Calendar-Converter.git\n\n// Table of intercalary months and days per month from year 1888 to 2111\n//\n// bit (12 - i):        days in the i^th month\n//                      (= 0 if i^th lunar month has 29 days)\n//                      (= 1 if i^th lunar month has 30 days)\n//                      (first month in lunar year is i = 0)\n// bits (13,14,15,16):  intercalary month\n//                      (= 0 if lunar year has no intercalary month)\nvar LUNAR_MONTH_DAYS = [1887, 0x1694, 0x16aa, 0x4ad5,\n    0xab6, 0xc4b7, 0x4ae, 0xa56, 0xb52a, 0x1d2a, 0xd54, 0x75aa, 0x156a,\n    0x1096d, 0x95c, 0x14ae, 0xaa4d, 0x1a4c, 0x1b2a, 0x8d55, 0xad4,\n    0x135a, 0x495d, 0x95c, 0xd49b, 0x149a, 0x1a4a, 0xbaa5, 0x16a8,\n    0x1ad4, 0x52da, 0x12b6, 0xe937, 0x92e, 0x1496, 0xb64b, 0xd4a,\n    0xda8, 0x95b5, 0x56c, 0x12ae, 0x492f, 0x92e, 0xcc96, 0x1a94,\n    0x1d4a, 0xada9, 0xb5a, 0x56c, 0x726e, 0x125c, 0xf92d, 0x192a,\n    0x1a94, 0xdb4a, 0x16aa, 0xad4, 0x955b, 0x4ba, 0x125a, 0x592b,\n    0x152a, 0xf695, 0xd94, 0x16aa, 0xaab5, 0x9b4, 0x14b6, 0x6a57,\n    0xa56, 0x1152a, 0x1d2a, 0xd54, 0xd5aa, 0x156a, 0x96c, 0x94ae,\n    0x14ae, 0xa4c, 0x7d26, 0x1b2a, 0xeb55, 0xad4, 0x12da, 0xa95d,\n    0x95a, 0x149a, 0x9a4d, 0x1a4a, 0x11aa5, 0x16a8, 0x16d4, 0xd2da,\n    0x12b6, 0x936, 0x9497, 0x1496, 0x1564b, 0xd4a, 0xda8, 0xd5b4,\n    0x156c, 0x12ae, 0xa92f, 0x92e, 0xc96, 0x6d4a, 0x1d4a, 0x10d65,\n    0xb58, 0x156c, 0xb26d, 0x125c, 0x192c, 0x9a95, 0x1a94, 0x1b4a,\n    0x4b55, 0xad4, 0xf55b, 0x4ba, 0x125a, 0xb92b, 0x152a, 0x1694,\n    0x96aa, 0x15aa, 0x12ab5, 0x974, 0x14b6, 0xca57, 0xa56, 0x1526,\n    0x8e95, 0xd54, 0x15aa, 0x49b5, 0x96c, 0xd4ae, 0x149c, 0x1a4c,\n    0xbd26, 0x1aa6, 0xb54, 0x6d6a, 0x12da, 0x1695d, 0x95a, 0x149a,\n    0xda4b, 0x1a4a, 0x1aa4, 0xbb54, 0x16b4, 0xada, 0x495b, 0x936,\n    0xf497, 0x1496, 0x154a, 0xb6a5, 0xda4, 0x15b4, 0x6ab6, 0x126e,\n    0x1092f, 0x92e, 0xc96, 0xcd4a, 0x1d4a, 0xd64, 0x956c, 0x155c,\n    0x125c, 0x792e, 0x192c, 0xfa95, 0x1a94, 0x1b4a, 0xab55, 0xad4,\n    0x14da, 0x8a5d, 0xa5a, 0x1152b, 0x152a, 0x1694, 0xd6aa, 0x15aa,\n    0xab4, 0x94ba, 0x14b6, 0xa56, 0x7527, 0xd26, 0xee53, 0xd54, 0x15aa,\n    0xa9b5, 0x96c, 0x14ae, 0x8a4e, 0x1a4c, 0x11d26, 0x1aa4, 0x1b54,\n    0xcd6a, 0xada, 0x95c, 0x949d, 0x149a, 0x1a2a, 0x5b25, 0x1aa4,\n    0xfb52, 0x16b4, 0xaba, 0xa95b, 0x936, 0x1496, 0x9a4b, 0x154a,\n    0x136a5, 0xda4, 0x15ac];\n\n// Table of Chinese New Years from year 1888 to 2111\n// \n// bits (0 to 4):   solar day\n// bits (5 to 8):   solar month\n// bits (9 to 20):  solar year\nvar CHINESE_NEW_YEAR = [1887, 0xec04c, 0xec23f, 0xec435, 0xec649,\n    0xec83e, 0xeca51, 0xecc46, 0xece3a, 0xed04d, 0xed242, 0xed436,\n    0xed64a, 0xed83f, 0xeda53, 0xedc48, 0xede3d, 0xee050, 0xee244,\n    0xee439, 0xee64d, 0xee842, 0xeea36, 0xeec4a, 0xeee3e, 0xef052,\n    0xef246, 0xef43a, 0xef64e, 0xef843, 0xefa37, 0xefc4b, 0xefe41,\n    0xf0054, 0xf0248, 0xf043c, 0xf0650, 0xf0845, 0xf0a38, 0xf0c4d,\n    0xf0e42, 0xf1037, 0xf124a, 0xf143e, 0xf1651, 0xf1846, 0xf1a3a,\n    0xf1c4e, 0xf1e44, 0xf2038, 0xf224b, 0xf243f, 0xf2653, 0xf2848,\n    0xf2a3b, 0xf2c4f, 0xf2e45, 0xf3039, 0xf324d, 0xf3442, 0xf3636,\n    0xf384a, 0xf3a3d, 0xf3c51, 0xf3e46, 0xf403b, 0xf424e, 0xf4443,\n    0xf4638, 0xf484c, 0xf4a3f, 0xf4c52, 0xf4e48, 0xf503c, 0xf524f,\n    0xf5445, 0xf5639, 0xf584d, 0xf5a42, 0xf5c35, 0xf5e49, 0xf603e,\n    0xf6251, 0xf6446, 0xf663b, 0xf684f, 0xf6a43, 0xf6c37, 0xf6e4b,\n    0xf703f, 0xf7252, 0xf7447, 0xf763c, 0xf7850, 0xf7a45, 0xf7c39,\n    0xf7e4d, 0xf8042, 0xf8254, 0xf8449, 0xf863d, 0xf8851, 0xf8a46,\n    0xf8c3b, 0xf8e4f, 0xf9044, 0xf9237, 0xf944a, 0xf963f, 0xf9853,\n    0xf9a47, 0xf9c3c, 0xf9e50, 0xfa045, 0xfa238, 0xfa44c, 0xfa641,\n    0xfa836, 0xfaa49, 0xfac3d, 0xfae52, 0xfb047, 0xfb23a, 0xfb44e,\n    0xfb643, 0xfb837, 0xfba4a, 0xfbc3f, 0xfbe53, 0xfc048, 0xfc23c,\n    0xfc450, 0xfc645, 0xfc839, 0xfca4c, 0xfcc41, 0xfce36, 0xfd04a,\n    0xfd23d, 0xfd451, 0xfd646, 0xfd83a, 0xfda4d, 0xfdc43, 0xfde37,\n    0xfe04b, 0xfe23f, 0xfe453, 0xfe648, 0xfe83c, 0xfea4f, 0xfec44,\n    0xfee38, 0xff04c, 0xff241, 0xff436, 0xff64a, 0xff83e, 0xffa51,\n    0xffc46, 0xffe3a, 0x10004e, 0x100242, 0x100437, 0x10064b, 0x100841,\n    0x100a53, 0x100c48, 0x100e3c, 0x10104f, 0x101244, 0x101438,\n    0x10164c, 0x101842, 0x101a35, 0x101c49, 0x101e3d, 0x102051,\n    0x102245, 0x10243a, 0x10264e, 0x102843, 0x102a37, 0x102c4b,\n    0x102e3f, 0x103053, 0x103247, 0x10343b, 0x10364f, 0x103845,\n    0x103a38, 0x103c4c, 0x103e42, 0x104036, 0x104249, 0x10443d,\n    0x104651, 0x104846, 0x104a3a, 0x104c4e, 0x104e43, 0x105038,\n    0x10524a, 0x10543e, 0x105652, 0x105847, 0x105a3b, 0x105c4f,\n    0x105e45, 0x106039, 0x10624c, 0x106441, 0x106635, 0x106849,\n    0x106a3d, 0x106c51, 0x106e47, 0x10703c, 0x10724f, 0x107444,\n    0x107638, 0x10784c, 0x107a3f, 0x107c53, 0x107e48];\n\nfunction toLunar(yearOrDate, monthOrResult, day, result) {\n    var solarDate;\n    var lunarDate;\n\n    if(typeof yearOrDate === 'object') {\n        solarDate = yearOrDate;\n        lunarDate = monthOrResult || {};\n\n    } else {\n        var isValidYear = (typeof yearOrDate === 'number') &&\n            (yearOrDate >= 1888) && (yearOrDate <= 2111);\n        if(!isValidYear)\n            throw new Error(\"Solar year outside range 1888-2111\");\n\n        var isValidMonth = (typeof monthOrResult === 'number') &&\n            (monthOrResult >= 1) && (monthOrResult <= 12);\n        if(!isValidMonth)\n            throw new Error(\"Solar month outside range 1 - 12\");\n\n        var isValidDay = (typeof day === 'number') && (day >= 1) && (day <= 31);\n        if(!isValidDay)\n            throw new Error(\"Solar day outside range 1 - 31\");\n\n        solarDate = {\n            year: yearOrDate,\n            month: monthOrResult,\n            day: day,\n        };\n        lunarDate = result || {};\n    }\n\n    // Compute Chinese new year and lunar year\n    var chineseNewYearPackedDate =\n        CHINESE_NEW_YEAR[solarDate.year - CHINESE_NEW_YEAR[0]];\n\n    var packedDate = (solarDate.year << 9) | (solarDate.month << 5)\n        | solarDate.day;\n\n    lunarDate.year = (packedDate >= chineseNewYearPackedDate) ?\n        solarDate.year :\n        solarDate.year - 1;\n\n    chineseNewYearPackedDate =\n        CHINESE_NEW_YEAR[lunarDate.year - CHINESE_NEW_YEAR[0]];\n\n    var y = (chineseNewYearPackedDate >> 9) & 0xFFF;\n    var m = (chineseNewYearPackedDate >> 5) & 0x0F;\n    var d = chineseNewYearPackedDate & 0x1F;\n\n    // Compute days from new year\n    var daysFromNewYear;\n\n    var chineseNewYearJSDate = new Date(y, m -1, d);\n    var jsDate = new Date(solarDate.year, solarDate.month - 1, solarDate.day);\n\n    daysFromNewYear = Math.round(\n        (jsDate - chineseNewYearJSDate) / (24 * 3600 * 1000));\n\n    // Compute lunar month and day\n    var monthDaysTable = LUNAR_MONTH_DAYS[lunarDate.year - LUNAR_MONTH_DAYS[0]];\n\n    var i;\n    for(i = 0; i < 13; i++) {\n        var daysInMonth = (monthDaysTable & (1 << (12 - i))) ? 30 : 29;\n\n        if (daysFromNewYear < daysInMonth) {\n            break;\n        }\n\n        daysFromNewYear -= daysInMonth;\n    }\n\n    var intercalaryMonth = monthDaysTable >> 13;\n    if (!intercalaryMonth || i < intercalaryMonth) {\n        lunarDate.isIntercalary = false;\n        lunarDate.month = 1 + i;\n    } else if (i === intercalaryMonth) {\n        lunarDate.isIntercalary = true;\n        lunarDate.month = i;\n    } else {\n        lunarDate.isIntercalary = false;\n        lunarDate.month = i;\n    }\n\n    lunarDate.day = 1 + daysFromNewYear;\n\n    return lunarDate;\n}\n\nfunction toSolar(yearOrDate, monthOrResult, day, isIntercalaryOrResult, result) {\n    var solarDate;\n    var lunarDate;\n\n    if(typeof yearOrDate === 'object') {\n        lunarDate = yearOrDate;\n        solarDate = monthOrResult || {};\n\n    } else {\n        var isValidYear = (typeof yearOrDate === 'number') &&\n            (yearOrDate >= 1888) && (yearOrDate <= 2111);\n        if(!isValidYear)\n            throw new Error(\"Lunar year outside range 1888-2111\");\n\n        var isValidMonth = (typeof monthOrResult === 'number') &&\n            (monthOrResult >= 1) && (monthOrResult <= 12);\n        if(!isValidMonth)\n            throw new Error(\"Lunar month outside range 1 - 12\");\n\n        var isValidDay = (typeof day === 'number') && (day >= 1) && (day <= 30);\n        if(!isValidDay)\n            throw new Error(\"Lunar day outside range 1 - 30\");\n\n        var isIntercalary;\n        if(typeof isIntercalaryOrResult === 'object') {\n            isIntercalary = false;\n            solarDate = isIntercalaryOrResult;\n        } else {\n            isIntercalary = !!isIntercalaryOrResult;\n            solarDate = result || {};\n        }\n\n        lunarDate = {\n            year: yearOrDate,\n            month: monthOrResult,\n            day: day,\n            isIntercalary: isIntercalary,\n        };\n    }\n\n    // Compute days from new year\n    var daysFromNewYear;\n\n    daysFromNewYear = lunarDate.day - 1;\n\n    var monthDaysTable = LUNAR_MONTH_DAYS[lunarDate.year - LUNAR_MONTH_DAYS[0]];\n    var intercalaryMonth = monthDaysTable >> 13;\n\n    var monthsFromNewYear;\n    if (!intercalaryMonth) {\n        monthsFromNewYear = lunarDate.month - 1;\n    } else if (lunarDate.month > intercalaryMonth) {\n        monthsFromNewYear = lunarDate.month;\n    } else if (lunarDate.isIntercalary) {\n        monthsFromNewYear = lunarDate.month;\n    } else {\n        monthsFromNewYear = lunarDate.month - 1;\n    }\n\n    for(var i = 0; i < monthsFromNewYear; i++) {\n        var daysInMonth = (monthDaysTable & (1 << (12 - i))) ? 30 : 29;\n        daysFromNewYear += daysInMonth;\n    }\n\n    // Compute Chinese new year\n    var packedDate = CHINESE_NEW_YEAR[lunarDate.year - CHINESE_NEW_YEAR[0]];\n\n    var y = (packedDate >> 9) & 0xFFF;\n    var m = (packedDate >> 5) & 0x0F;\n    var d = packedDate & 0x1F;\n\n    // Compute solar date\n    var jsDate = new Date(y, m - 1, d + daysFromNewYear);\n\n    solarDate.year = jsDate.getFullYear();\n    solarDate.month = 1 + jsDate.getMonth();\n    solarDate.day = jsDate.getDate();\n\n    return solarDate;\n}\n\n\n},{\"../main\":548,\"object-assign\":437}],535:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Coptic calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) February 2010.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the Coptic calendar.\n    See <a href=\"http://en.wikipedia.org/wiki/Coptic_calendar\">http://en.wikipedia.org/wiki/Coptic_calendar</a>.\n    See also Calendrical Calculations: The Millennium Edition\n    (<a href=\"http://emr.cs.iit.edu/home/reingold/calendar-book/index.shtml\">http://emr.cs.iit.edu/home/reingold/calendar-book/index.shtml</a>).\n    @class CopticCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction CopticCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nCopticCalendar.prototype = new main.baseCalendar;\n\nassign(CopticCalendar.prototype, {\n    /** The calendar name.\n        @memberof CopticCalendar */\n    name: 'Coptic',\n    /** Julian date of start of Coptic epoch: 29 August 284 CE (Gregorian).\n        @memberof CopticCalendar */\n    jdEpoch: 1825029.5,\n    /** Days per month in a common year.\n        @memberof CopticCalendar */\n    daysPerMonth: [30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 5],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof CopticCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof CopticCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof CopticCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof CopticCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof CopticCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Coptic',\n            epochs: ['BAM', 'AM'],\n            monthNames: ['Thout', 'Paopi', 'Hathor', 'Koiak', 'Tobi', 'Meshir',\n            'Paremhat', 'Paremoude', 'Pashons', 'Paoni', 'Epip', 'Mesori', 'Pi Kogi Enavot'],\n            monthNamesShort: ['Tho', 'Pao', 'Hath', 'Koi', 'Tob', 'Mesh',\n            'Pat', 'Pad', 'Pash', 'Pao', 'Epi', 'Meso', 'PiK'],\n            dayNames: ['Tkyriaka', 'Pesnau', 'Pshoment', 'Peftoou', 'Ptiou', 'Psoou', 'Psabbaton'],\n            dayNamesShort: ['Tky', 'Pes', 'Psh', 'Pef', 'Pti', 'Pso', 'Psa'],\n            dayNamesMin: ['Tk', 'Pes', 'Psh', 'Pef', 'Pt', 'Pso', 'Psa'],\n            digits: null,\n            dateFormat: 'dd/mm/yyyy',\n            firstDay: 0,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof CopticCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        var year = date.year() + (date.year() < 0 ? 1 : 0); // No year zero\n        return year % 4 === 3 || year % 4 === -1;\n    },\n\n    /** Retrieve the number of months in a year.\n        @memberof CopticCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of months.\n        @throws Error if an invalid year or a different calendar used. */\n    monthsInYear: function(year) {\n        this._validate(year, this.minMonth, this.minDay,\n            main.local.invalidYear || main.regionalOptions[''].invalidYear);\n        return 13;\n    },\n\n    /** Determine the week of the year for a date.\n        @memberof CopticCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number) the month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        // Find Sunday of this week starting on Sunday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(-checkDate.dayOfWeek(), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 7) + 1;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof CopticCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        var date = this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return this.daysPerMonth[date.month() - 1] +\n            (date.month() === 13 && this.leapYear(date.year()) ? 1 : 0);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof CopticCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param month {number} The month to examine.\n        @param day {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return (this.dayOfWeek(year, month, day) || 7) < 6;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof CopticCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number) the month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        year = date.year();\n        if (year < 0) { year++; } // No year zero\n        return date.day() + (date.month() - 1) * 30 +\n            (year - 1) * 365 + Math.floor(year / 4) + this.jdEpoch - 1;\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof CopticCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        var c = Math.floor(jd) + 0.5 - this.jdEpoch;\n        var year = Math.floor((c - Math.floor((c + 366) / 1461)) / 365) + 1;\n        if (year <= 0) { year--; } // No year zero\n        c = Math.floor(jd) + 0.5 - this.newDate(year, 1, 1).toJD();\n        var month = Math.floor(c / 30) + 1;\n        var day = c - (month - 1) * 30 + 1;\n        return this.newDate(year, month, day);\n    }\n});\n\n// Coptic calendar implementation\nmain.calendars.coptic = CopticCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],536:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Discworld calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) January 2016.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the Discworld calendar - Unseen University version.\n    See also <a href=\"http://wiki.lspace.org/mediawiki/Discworld_calendar\">http://wiki.lspace.org/mediawiki/Discworld_calendar</a>\n    and <a href=\"http://discworld.wikia.com/wiki/Discworld_calendar\">http://discworld.wikia.com/wiki/Discworld_calendar</a>.\n    @class DiscworldCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction DiscworldCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nDiscworldCalendar.prototype = new main.baseCalendar;\n\nassign(DiscworldCalendar.prototype, {\n    /** The calendar name.\n        @memberof DiscworldCalendar */\n    name: 'Discworld',\n    /** Julian date of start of Discworld epoch: 1 January 0001 CE.\n        @memberof DiscworldCalendar */\n    jdEpoch: 1721425.5,\n    /** Days per month in a common year.\n        @memberof DiscworldCalendar */\n    daysPerMonth: [16, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof DiscworldCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof DiscworldCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof DiscworldCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof DiscworldCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof DiscworldCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Discworld',\n            epochs: ['BUC', 'UC'],\n            monthNames: ['Ick', 'Offle', 'February', 'March', 'April', 'May', 'June',\n            'Grune', 'August', 'Spune', 'Sektober', 'Ember', 'December'],\n            monthNamesShort: ['Ick', 'Off', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Gru', 'Aug', 'Spu', 'Sek', 'Emb', 'Dec'],\n            dayNames: ['Sunday', 'Octeday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'],\n            dayNamesShort: ['Sun', 'Oct', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],\n            dayNamesMin: ['Su', 'Oc', 'Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa'],\n            digits: null,\n            dateFormat: 'yyyy/mm/dd',\n            firstDay: 2,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof DiscworldCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return false;\n    },\n\n    /** Retrieve the number of months in a year.\n        @memberof DiscworldCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of months.\n        @throws Error if an invalid year or a different calendar used. */\n    monthsInYear: function(year) {\n        this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return 13;\n    },\n\n    /** Retrieve the number of days in a year.\n        @memberof DiscworldCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of days.\n        @throws Error if an invalid year or a different calendar used. */\n    daysInYear: function(year) {\n        this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return 400;\n    },\n\n    /** Determine the week of the year for a date.\n        @memberof DiscworldCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        // Find Sunday of this week starting on Sunday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(-checkDate.dayOfWeek(), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 8) + 1;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof DiscworldCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        var date = this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return this.daysPerMonth[date.month() - 1];\n    },\n\n    /** Retrieve the number of days in a week.\n        @memberof DiscworldCalendar\n        @return {number} The number of days. */\n    daysInWeek: function() {\n        return 8;\n    },\n\n    /** Retrieve the day of the week for a date.\n        @memberof DiscworldCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The day of the week: 0 to number of days - 1.\n        @throws Error if an invalid date or a different calendar used. */\n    dayOfWeek: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        return (date.day() + 1) % 8;\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof DiscworldCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        var dow = this.dayOfWeek(year, month, day);\n        return (dow >= 2 && dow <= 6);\n    },\n\n    /** Retrieve additional information about a date.\n        @memberof DiscworldCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {object} Additional information - contents depends on calendar.\n        @throws Error if an invalid date or a different calendar used. */\n    extraInfo: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        return {century: centuries[Math.floor((date.year() - 1) / 100) + 1] || ''};\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof DiscworldCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        year = date.year() + (date.year() < 0 ? 1 : 0);\n        month = date.month();\n        day = date.day();\n        return day + (month > 1 ? 16 : 0) + (month > 2 ? (month - 2) * 32 : 0) +\n            (year - 1) * 400 + this.jdEpoch - 1;\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof DiscworldCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        jd = Math.floor(jd + 0.5) - Math.floor(this.jdEpoch) - 1;\n        var year = Math.floor(jd / 400) + 1;\n        jd -= (year - 1) * 400;\n        jd += (jd > 15 ? 16 : 0);\n        var month = Math.floor(jd / 32) + 1;\n        var day = jd - (month - 1) * 32 + 1;\n        return this.newDate(year <= 0 ? year - 1 : year, month, day);\n    }\n});\n\n// Names of the centuries\nvar centuries = {\n    20: 'Fruitbat',\n    21: 'Anchovy'\n};\n\n// Discworld calendar implementation\nmain.calendars.discworld = DiscworldCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],537:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Ethiopian calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) February 2010.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the Ethiopian calendar.\n    See <a href=\"http://en.wikipedia.org/wiki/Ethiopian_calendar\">http://en.wikipedia.org/wiki/Ethiopian_calendar</a>.\n    See also Calendrical Calculations: The Millennium Edition\n    (<a href=\"http://emr.cs.iit.edu/home/reingold/calendar-book/index.shtml\">http://emr.cs.iit.edu/home/reingold/calendar-book/index.shtml</a>).\n    @class EthiopianCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction EthiopianCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nEthiopianCalendar.prototype = new main.baseCalendar;\n\nassign(EthiopianCalendar.prototype, {\n    /** The calendar name.\n        @memberof EthiopianCalendar */\n    name: 'Ethiopian',\n    /** Julian date of start of Ethiopian epoch: 27 August 8 CE (Gregorian).\n        @memberof EthiopianCalendar */\n    jdEpoch: 1724220.5,\n    /** Days per month in a common year.\n        @memberof EthiopianCalendar */\n    daysPerMonth: [30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 5],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof EthiopianCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof EthiopianCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof EthiopianCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof EthiopianCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof EthiopianCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Ethiopian',\n            epochs: ['BEE', 'EE'],\n            monthNames: ['Meskerem', 'Tikemet', 'Hidar', 'Tahesas', 'Tir', 'Yekatit',\n            'Megabit', 'Miazia', 'Genbot', 'Sene', 'Hamle', 'Nehase', 'Pagume'],\n            monthNamesShort: ['Mes', 'Tik', 'Hid', 'Tah', 'Tir', 'Yek',\n            'Meg', 'Mia', 'Gen', 'Sen', 'Ham', 'Neh', 'Pag'],\n            dayNames: ['Ehud', 'Segno', 'Maksegno', 'Irob', 'Hamus', 'Arb', 'Kidame'],\n            dayNamesShort: ['Ehu', 'Seg', 'Mak', 'Iro', 'Ham', 'Arb', 'Kid'],\n            dayNamesMin: ['Eh', 'Se', 'Ma', 'Ir', 'Ha', 'Ar', 'Ki'],\n            digits: null,\n            dateFormat: 'dd/mm/yyyy',\n            firstDay: 0,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof EthiopianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        var year = date.year() + (date.year() < 0 ? 1 : 0); // No year zero\n        return year % 4 === 3 || year % 4 === -1;\n    },\n\n    /** Retrieve the number of months in a year.\n        @memberof EthiopianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of months.\n        @throws Error if an invalid year or a different calendar used. */\n    monthsInYear: function(year) {\n        this._validate(year, this.minMonth, this.minDay,\n            main.local.invalidYear || main.regionalOptions[''].invalidYear);\n        return 13;\n    },\n\n    /** Determine the week of the year for a date.\n        @memberof EthiopianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        // Find Sunday of this week starting on Sunday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(-checkDate.dayOfWeek(), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 7) + 1;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof EthiopianCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        var date = this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return this.daysPerMonth[date.month() - 1] +\n            (date.month() === 13 && this.leapYear(date.year()) ? 1 : 0);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof EthiopianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return (this.dayOfWeek(year, month, day) || 7) < 6;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof EthiopianCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        year = date.year();\n        if (year < 0) { year++; } // No year zero\n        return date.day() + (date.month() - 1) * 30 +\n            (year - 1) * 365 + Math.floor(year / 4) + this.jdEpoch - 1;\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof EthiopianCalendar\n        @param jd {number} the Julian date to convert.\n        @return {CDate} the equivalent date. */\n    fromJD: function(jd) {\n        var c = Math.floor(jd) + 0.5 - this.jdEpoch;\n        var year = Math.floor((c - Math.floor((c + 366) / 1461)) / 365) + 1;\n        if (year <= 0) { year--; } // No year zero\n        c = Math.floor(jd) + 0.5 - this.newDate(year, 1, 1).toJD();\n        var month = Math.floor(c / 30) + 1;\n        var day = c - (month - 1) * 30 + 1;\n        return this.newDate(year, month, day);\n    }\n});\n\n// Ethiopian calendar implementation\nmain.calendars.ethiopian = EthiopianCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],538:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Hebrew calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) August 2009.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the Hebrew civil calendar.\n    Based on code from <a href=\"http://www.fourmilab.ch/documents/calendar/\">http://www.fourmilab.ch/documents/calendar/</a>.\n    See also <a href=\"http://en.wikipedia.org/wiki/Hebrew_calendar\">http://en.wikipedia.org/wiki/Hebrew_calendar</a>.\n    @class HebrewCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction HebrewCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nHebrewCalendar.prototype = new main.baseCalendar;\n\nassign(HebrewCalendar.prototype, {\n    /** The calendar name.\n        @memberof HebrewCalendar */\n    name: 'Hebrew',\n    /** Julian date of start of Hebrew epoch: 7 October 3761 BCE.\n        @memberof HebrewCalendar */\n    jdEpoch: 347995.5,\n    /** Days per month in a common year.\n        @memberof HebrewCalendar */\n    daysPerMonth: [30, 29, 30, 29, 30, 29, 30, 29, 30, 29, 30, 29, 29],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof HebrewCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof HebrewCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof HebrewCalendar */\n    firstMonth: 7,\n    /** The minimum day number.\n        @memberof HebrewCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof HebrewCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Hebrew',\n            epochs: ['BAM', 'AM'],\n            monthNames: ['Nisan', 'Iyar', 'Sivan', 'Tammuz', 'Av', 'Elul',\n            'Tishrei', 'Cheshvan', 'Kislev', 'Tevet', 'Shevat', 'Adar', 'Adar II'],\n            monthNamesShort: ['Nis', 'Iya', 'Siv', 'Tam', 'Av', 'Elu', 'Tis', 'Che', 'Kis', 'Tev', 'She', 'Ada', 'Ad2'],\n            dayNames: ['Yom Rishon', 'Yom Sheni', 'Yom Shlishi', 'Yom Revi\\'i', 'Yom Chamishi', 'Yom Shishi', 'Yom Shabbat'],\n            dayNamesShort: ['Ris', 'She', 'Shl', 'Rev', 'Cha', 'Shi', 'Sha'],\n            dayNamesMin: ['Ri','She','Shl','Re','Ch','Shi','Sha'],\n            digits: null,\n            dateFormat: 'dd/mm/yyyy',\n            firstDay: 0,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof HebrewCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return this._leapYear(date.year());\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof HebrewCalendar\n        @private\n        @param year {number} The year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    _leapYear: function(year) {\n        year = (year < 0 ? year + 1 : year);\n        return mod(year * 7 + 1, 19) < 7;\n    },\n\n    /** Retrieve the number of months in a year.\n        @memberof HebrewCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of months.\n        @throws Error if an invalid year or a different calendar used. */\n    monthsInYear: function(year) {\n        this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return this._leapYear(year.year ? year.year() : year) ? 13 : 12;\n    },\n\n    /** Determine the week of the year for a date.\n        @memberof HebrewCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        // Find Sunday of this week starting on Sunday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(-checkDate.dayOfWeek(), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 7) + 1;\n    },\n\n    /** Retrieve the number of days in a year.\n        @memberof HebrewCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of days.\n        @throws Error if an invalid year or a different calendar used. */\n    daysInYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        year = date.year();\n        return this.toJD((year === -1 ? +1 : year + 1), 7, 1) - this.toJD(year, 7, 1);\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof HebrewCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        if (year.year) {\n            month = year.month();\n            year = year.year();\n        }\n        this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return (month === 12 && this.leapYear(year) ? 30 : // Adar I\n                (month === 8 && mod(this.daysInYear(year), 10) === 5 ? 30 : // Cheshvan in shlemah year\n                (month === 9 && mod(this.daysInYear(year), 10) === 3 ? 29 : // Kislev in chaserah year\n                this.daysPerMonth[month - 1])));\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof HebrewCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return this.dayOfWeek(year, month, day) !== 6;\n    },\n\n    /** Retrieve additional information about a date - year type.\n        @memberof HebrewCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {object} Additional information - contents depends on calendar.\n        @throws Error if an invalid date or a different calendar used. */\n    extraInfo: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        return {yearType: (this.leapYear(date) ? 'embolismic' : 'common') + ' ' +\n            ['deficient', 'regular', 'complete'][this.daysInYear(date) % 10 - 3]};\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof HebrewCalendar\n        @param year {CDate)|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        year = date.year();\n        month = date.month();\n        day = date.day();\n        var adjYear = (year <= 0 ? year + 1 : year);\n        var jd = this.jdEpoch + this._delay1(adjYear) +\n            this._delay2(adjYear) + day + 1;\n        if (month < 7) {\n            for (var m = 7; m <= this.monthsInYear(year); m++) {\n                jd += this.daysInMonth(year, m);\n            }\n            for (var m = 1; m < month; m++) {\n                jd += this.daysInMonth(year, m);\n            }\n        }\n        else {\n            for (var m = 7; m < month; m++) {\n                jd += this.daysInMonth(year, m);\n            }\n        }\n        return jd;\n    },\n\n    /** Test for delay of start of new year and to avoid\n        Sunday, Wednesday, or Friday as start of the new year.\n        @memberof HebrewCalendar\n        @private\n        @param year {number} The year to examine.\n        @return {number} The days to offset by. */\n    _delay1: function(year) {\n        var months = Math.floor((235 * year - 234) / 19);\n        var parts = 12084 + 13753 * months;\n        var day = months * 29 + Math.floor(parts / 25920);\n        if (mod(3 * (day + 1), 7) < 3) {\n            day++;\n        }\n        return day;\n    },\n\n    /** Check for delay in start of new year due to length of adjacent years.\n        @memberof HebrewCalendar\n        @private\n        @param year {number} The year to examine.\n        @return {number} The days to offset by. */\n    _delay2: function(year) {\n        var last = this._delay1(year - 1);\n        var present = this._delay1(year);\n        var next = this._delay1(year + 1);\n        return ((next - present) === 356 ? 2 : ((present - last) === 382 ? 1 : 0));\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof HebrewCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        jd = Math.floor(jd) + 0.5;\n        var year = Math.floor(((jd - this.jdEpoch) * 98496.0) / 35975351.0) - 1;\n        while (jd >= this.toJD((year === -1 ? +1 : year + 1), 7, 1)) {\n            year++;\n        }\n        var month = (jd < this.toJD(year, 1, 1)) ? 7 : 1;\n        while (jd > this.toJD(year, month, this.daysInMonth(year, month))) {\n            month++;\n        }\n        var day = jd - this.toJD(year, month, 1) + 1;\n        return this.newDate(year, month, day);\n    }\n});\n\n// Modulus function which works for non-integers.\nfunction mod(a, b) {\n    return a - (b * Math.floor(a / b));\n}\n\n// Hebrew calendar implementation\nmain.calendars.hebrew = HebrewCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],539:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Islamic calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) August 2009.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the Islamic or '16 civil' calendar.\n    Based on code from <a href=\"http://www.iranchamber.com/calendar/converter/iranian_calendar_converter.php\">http://www.iranchamber.com/calendar/converter/iranian_calendar_converter.php</a>.\n    See also <a href=\"http://en.wikipedia.org/wiki/Islamic_calendar\">http://en.wikipedia.org/wiki/Islamic_calendar</a>.\n    @class IslamicCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction IslamicCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nIslamicCalendar.prototype = new main.baseCalendar;\n\nassign(IslamicCalendar.prototype, {\n    /** The calendar name.\n        @memberof IslamicCalendar */\n    name: 'Islamic',\n    /** Julian date of start of Islamic epoch: 16 July 622 CE.\n        @memberof IslamicCalendar */\n    jdEpoch: 1948439.5,\n    /** Days per month in a common year.\n        @memberof IslamicCalendar */\n    daysPerMonth: [30, 29, 30, 29, 30, 29, 30, 29, 30, 29, 30, 29],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof IslamicCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof IslamicCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof IslamicCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof IslamicCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof IslamicCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Islamic',\n            epochs: ['BH', 'AH'],\n            monthNames: ['Muharram', 'Safar', 'Rabi\\' al-awwal', 'Rabi\\' al-thani', 'Jumada al-awwal', 'Jumada al-thani',\n            'Rajab', 'Sha\\'aban', 'Ramadan', 'Shawwal', 'Dhu al-Qi\\'dah', 'Dhu al-Hijjah'],\n            monthNamesShort: ['Muh', 'Saf', 'Rab1', 'Rab2', 'Jum1', 'Jum2', 'Raj', 'Sha\\'', 'Ram', 'Shaw', 'DhuQ', 'DhuH'],\n            dayNames: ['Yawm al-ahad', 'Yawm al-ithnayn', 'Yawm ath-thulaathaa\\'',\n            'Yawm al-arbi\\'aa\\'', 'Yawm al-khamīs', 'Yawm al-jum\\'a', 'Yawm as-sabt'],\n            dayNamesShort: ['Aha', 'Ith', 'Thu', 'Arb', 'Kha', 'Jum', 'Sab'],\n            dayNamesMin: ['Ah','It','Th','Ar','Kh','Ju','Sa'],\n            digits: null,\n            dateFormat: 'yyyy/mm/dd',\n            firstDay: 6,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof IslamicCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return (date.year() * 11 + 14) % 30 < 11;\n    },\n\n    /** Determine the week of the year for a date.\n        @memberof IslamicCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        // Find Sunday of this week starting on Sunday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(-checkDate.dayOfWeek(), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 7) + 1;\n    },\n\n    /** Retrieve the number of days in a year.\n        @memberof IslamicCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of days.\n        @throws Error if an invalid year or a different calendar used. */\n    daysInYear: function(year) {\n        return (this.leapYear(year) ? 355 : 354);\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof IslamicCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        var date = this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return this.daysPerMonth[date.month() - 1] +\n            (date.month() === 12 && this.leapYear(date.year()) ? 1 : 0);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof IslamicCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return this.dayOfWeek(year, month, day) !== 5;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof IslamicCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        year = date.year();\n        month = date.month();\n        day = date.day();\n        year = (year <= 0 ? year + 1 : year);\n        return day + Math.ceil(29.5 * (month - 1)) + (year - 1) * 354 +\n            Math.floor((3 + (11 * year)) / 30) + this.jdEpoch - 1;\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof IslamicCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        jd = Math.floor(jd) + 0.5;\n        var year = Math.floor((30 * (jd - this.jdEpoch) + 10646) / 10631);\n        year = (year <= 0 ? year - 1 : year);\n        var month = Math.min(12, Math.ceil((jd - 29 - this.toJD(year, 1, 1)) / 29.5) + 1);\n        var day = jd - this.toJD(year, month, 1) + 1;\n        return this.newDate(year, month, day);\n    }\n});\n\n// Islamic (16 civil) calendar implementation\nmain.calendars.islamic = IslamicCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],540:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Julian calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) August 2009.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the Julian calendar.\n    Based on code from <a href=\"http://www.fourmilab.ch/documents/calendar/\">http://www.fourmilab.ch/documents/calendar/</a>.\n    See also <a href=\"http://en.wikipedia.org/wiki/Julian_calendar\">http://en.wikipedia.org/wiki/Julian_calendar</a>.\n    @class JulianCalendar\n    @augments BaseCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction JulianCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nJulianCalendar.prototype = new main.baseCalendar;\n\nassign(JulianCalendar.prototype, {\n    /** The calendar name.\n        @memberof JulianCalendar */\n    name: 'Julian',\n    /** Julian date of start of Julian epoch: 1 January 0001 AD = 30 December 0001 BCE.\n        @memberof JulianCalendar */\n    jdEpoch: 1721423.5,\n    /** Days per month in a common year.\n        @memberof JulianCalendar */\n    daysPerMonth: [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof JulianCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof JulianCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof JulianCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof JulianCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof JulianCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Julian',\n            epochs: ['BC', 'AD'],\n            monthNames: ['January', 'February', 'March', 'April', 'May', 'June',\n            'July', 'August', 'September', 'October', 'November', 'December'],\n            monthNamesShort: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],\n            dayNames: ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'],\n            dayNamesShort: ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],\n            dayNamesMin: ['Su', 'Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa'],\n            digits: null,\n            dateFormat: 'mm/dd/yyyy',\n            firstDay: 0,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof JulianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        var year = (date.year() < 0 ? date.year() + 1 : date.year()); // No year zero\n        return (year % 4) === 0;\n    },\n\n    /** Determine the week of the year for a date - ISO 8601.\n        @memberof JulianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        // Find Thursday of this week starting on Monday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(4 - (checkDate.dayOfWeek() || 7), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 7) + 1;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof JulianCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        var date = this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return this.daysPerMonth[date.month() - 1] +\n            (date.month() === 2 && this.leapYear(date.year()) ? 1 : 0);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof JulianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} True if a week day, false if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return (this.dayOfWeek(year, month, day) || 7) < 6;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof JulianCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        year = date.year();\n        month = date.month();\n        day = date.day();\n        if (year < 0) { year++; } // No year zero\n        // Jean Meeus algorithm, \"Astronomical Algorithms\", 1991\n        if (month <= 2) {\n            year--;\n            month += 12;\n        }\n        return Math.floor(365.25 * (year + 4716)) +\n            Math.floor(30.6001 * (month + 1)) + day - 1524.5;\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof JulianCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        // Jean Meeus algorithm, \"Astronomical Algorithms\", 1991\n        var a = Math.floor(jd + 0.5);\n        var b = a + 1524;\n        var c = Math.floor((b - 122.1) / 365.25);\n        var d = Math.floor(365.25 * c);\n        var e = Math.floor((b - d) / 30.6001);\n        var month = e - Math.floor(e < 14 ? 1 : 13);\n        var year = c - Math.floor(month > 2 ? 4716 : 4715);\n        var day = b - d - Math.floor(30.6001 * e);\n        if (year <= 0) { year--; } // No year zero\n        return this.newDate(year, month, day);\n    }\n});\n\n// Julian calendar implementation\nmain.calendars.julian = JulianCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],541:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Mayan calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) August 2009.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the Mayan Long Count calendar.\n    See also <a href=\"http://en.wikipedia.org/wiki/Mayan_calendar\">http://en.wikipedia.org/wiki/Mayan_calendar</a>.\n    @class MayanCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction MayanCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nMayanCalendar.prototype = new main.baseCalendar;\n\nassign(MayanCalendar.prototype, {\n    /** The calendar name.\n        @memberof MayanCalendar */\n    name: 'Mayan',\n    /** Julian date of start of Mayan epoch: 11 August 3114 BCE.\n        @memberof MayanCalendar */\n    jdEpoch: 584282.5,\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof MayanCalendar */\n    hasYearZero: true,\n    /** The minimum month number.\n        @memberof MayanCalendar */\n    minMonth: 0,\n    /** The first month in the year.\n        @memberof MayanCalendar */\n    firstMonth: 0,\n    /** The minimum day number.\n        @memberof MayanCalendar */\n    minDay: 0,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof MayanCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left.\n        @property haabMonths {string[]} The names of the Haab months.\n        @property tzolkinMonths {string[]} The names of the Tzolkin months. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Mayan',\n            epochs: ['', ''],\n            monthNames: ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9',\n            '10', '11', '12', '13', '14', '15', '16', '17'],\n            monthNamesShort: ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9',\n            '10', '11', '12', '13', '14', '15', '16', '17'],\n            dayNames: ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9',\n            '10', '11', '12', '13', '14', '15', '16', '17', '18', '19'],\n            dayNamesShort: ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9',\n            '10', '11', '12', '13', '14', '15', '16', '17', '18', '19'],\n            dayNamesMin: ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9',\n            '10', '11', '12', '13', '14', '15', '16', '17', '18', '19'],\n            digits: null,\n            dateFormat: 'YYYY.m.d',\n            firstDay: 0,\n            isRTL: false,\n            haabMonths: ['Pop', 'Uo', 'Zip', 'Zotz', 'Tzec', 'Xul', 'Yaxkin', 'Mol', 'Chen', 'Yax',\n            'Zac', 'Ceh', 'Mac', 'Kankin', 'Muan', 'Pax', 'Kayab', 'Cumku', 'Uayeb'],\n            tzolkinMonths: ['Imix', 'Ik', 'Akbal', 'Kan', 'Chicchan', 'Cimi', 'Manik', 'Lamat', 'Muluc', 'Oc',\n            'Chuen', 'Eb', 'Ben', 'Ix', 'Men', 'Cib', 'Caban', 'Etznab', 'Cauac', 'Ahau']\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof MayanCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return false;\n    },\n\n    /** Format the year, if not a simple sequential number.\n        @memberof MayanCalendar\n        @param year {CDate|number} The date to format or the year to format.\n        @return {string} The formatted year.\n        @throws Error if an invalid year or a different calendar used. */\n    formatYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        year = date.year();\n        var baktun = Math.floor(year / 400);\n        year = year % 400;\n        year += (year < 0 ? 400 : 0);\n        var katun = Math.floor(year / 20);\n        return baktun + '.' + katun + '.' + (year % 20);\n    },\n\n    /** Convert from the formatted year back to a single number.\n        @memberof MayanCalendar\n        @param years {string} The year as n.n.n.\n        @return {number} The sequential year.\n        @throws Error if an invalid value is supplied. */\n    forYear: function(years) {\n        years = years.split('.');\n        if (years.length < 3) {\n            throw 'Invalid Mayan year';\n        }\n        var year = 0;\n        for (var i = 0; i < years.length; i++) {\n            var y = parseInt(years[i], 10);\n            if (Math.abs(y) > 19 || (i > 0 && y < 0)) {\n                throw 'Invalid Mayan year';\n            }\n            year = year * 20 + y;\n        }\n        return year;\n    },\n\n    /** Retrieve the number of months in a year.\n        @memberof MayanCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of months.\n        @throws Error if an invalid year or a different calendar used. */\n    monthsInYear: function(year) {\n        this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return 18;\n    },\n\n    /** Determine the week of the year for a date.\n        @memberof MayanCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        this._validate(year, month, day, main.local.invalidDate);\n        return 0;\n    },\n\n    /** Retrieve the number of days in a year.\n        @memberof MayanCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of days.\n        @throws Error if an invalid year or a different calendar used. */\n    daysInYear: function(year) {\n        this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return 360;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof MayanCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return 20;\n    },\n\n    /** Retrieve the number of days in a week.\n        @memberof MayanCalendar\n        @return {number} The number of days. */\n    daysInWeek: function() {\n        return 5; // Just for formatting\n    },\n\n    /** Retrieve the day of the week for a date.\n        @memberof MayanCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The day of the week: 0 to number of days - 1.\n        @throws Error if an invalid date or a different calendar used. */\n    dayOfWeek: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        return date.day();\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof MayanCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        this._validate(year, month, day, main.local.invalidDate);\n        return true;\n    },\n\n    /** Retrieve additional information about a date - Haab and Tzolkin equivalents.\n        @memberof MayanCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {object} Additional information - contents depends on calendar.\n        @throws Error if an invalid date or a different calendar used. */\n    extraInfo: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        var jd = date.toJD();\n        var haab = this._toHaab(jd);\n        var tzolkin = this._toTzolkin(jd);\n        return {haabMonthName: this.local.haabMonths[haab[0] - 1],\n            haabMonth: haab[0], haabDay: haab[1],\n            tzolkinDayName: this.local.tzolkinMonths[tzolkin[0] - 1],\n            tzolkinDay: tzolkin[0], tzolkinTrecena: tzolkin[1]};\n    },\n\n    /** Retrieve Haab date from a Julian date.\n        @memberof MayanCalendar\n        @private\n        @param jd  {number} The Julian date.\n        @return {number[]} Corresponding Haab month and day. */\n    _toHaab: function(jd) {\n        jd -= this.jdEpoch;\n        var day = mod(jd + 8 + ((18 - 1) * 20), 365);\n        return [Math.floor(day / 20) + 1, mod(day, 20)];\n    },\n\n    /** Retrieve Tzolkin date from a Julian date.\n        @memberof MayanCalendar\n        @private\n        @param jd {number} The Julian date.\n        @return {number[]} Corresponding Tzolkin day and trecena. */\n    _toTzolkin: function(jd) {\n        jd -= this.jdEpoch;\n        return [amod(jd + 20, 20), amod(jd + 4, 13)];\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof MayanCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        return date.day() + (date.month() * 20) + (date.year() * 360) + this.jdEpoch;\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof MayanCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        jd = Math.floor(jd) + 0.5 - this.jdEpoch;\n        var year = Math.floor(jd / 360);\n        jd = jd % 360;\n        jd += (jd < 0 ? 360 : 0);\n        var month = Math.floor(jd / 20);\n        var day = jd % 20;\n        return this.newDate(year, month, day);\n    }\n});\n\n// Modulus function which works for non-integers.\nfunction mod(a, b) {\n    return a - (b * Math.floor(a / b));\n}\n\n// Modulus function which returns numerator if modulus is zero.\nfunction amod(a, b) {\n    return mod(a - 1, b) + 1;\n}\n\n// Mayan calendar implementation\nmain.calendars.mayan = MayanCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],542:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Nanakshahi calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) January 2016.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the Nanakshahi calendar.\n    See also <a href=\"https://en.wikipedia.org/wiki/Nanakshahi_calendar\">https://en.wikipedia.org/wiki/Nanakshahi_calendar</a>.\n    @class NanakshahiCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction NanakshahiCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nNanakshahiCalendar.prototype = new main.baseCalendar;\n\nvar gregorian = main.instance('gregorian');\n\nassign(NanakshahiCalendar.prototype, {\n    /** The calendar name.\n        @memberof NanakshahiCalendar */\n    name: 'Nanakshahi',\n    /** Julian date of start of Nanakshahi epoch: 14 March 1469 CE.\n        @memberof NanakshahiCalendar */\n    jdEpoch: 2257673.5,\n    /** Days per month in a common year.\n        @memberof NanakshahiCalendar */\n    daysPerMonth: [31, 31, 31, 31, 31, 30, 30, 30, 30, 30, 30, 30],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof NanakshahiCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof NanakshahiCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof NanakshahiCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof NanakshahiCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof NanakshahiCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Nanakshahi',\n            epochs: ['BN', 'AN'],\n            monthNames: ['Chet', 'Vaisakh', 'Jeth', 'Harh', 'Sawan', 'Bhadon',\n            'Assu', 'Katak', 'Maghar', 'Poh', 'Magh', 'Phagun'],\n            monthNamesShort: ['Che', 'Vai', 'Jet', 'Har', 'Saw', 'Bha', 'Ass', 'Kat', 'Mgr', 'Poh', 'Mgh', 'Pha'],\n            dayNames: ['Somvaar', 'Mangalvar', 'Budhvaar', 'Veervaar', 'Shukarvaar', 'Sanicharvaar', 'Etvaar'],\n            dayNamesShort: ['Som', 'Mangal', 'Budh', 'Veer', 'Shukar', 'Sanichar', 'Et'],\n            dayNamesMin: ['So', 'Ma', 'Bu', 'Ve', 'Sh', 'Sa', 'Et'],\n            digits: null,\n            dateFormat: 'dd-mm-yyyy',\n            firstDay: 0,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof NanakshahiCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay,\n            main.local.invalidYear || main.regionalOptions[''].invalidYear);\n        return gregorian.leapYear(date.year() + (date.year() < 1 ? 1 : 0) + 1469);\n    },\n\n    /** Determine the week of the year for a date.\n        @memberof NanakshahiCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        // Find Monday of this week starting on Monday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(1 - (checkDate.dayOfWeek() || 7), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 7) + 1;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof NanakshahiCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        var date = this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return this.daysPerMonth[date.month() - 1] +\n            (date.month() === 12 && this.leapYear(date.year()) ? 1 : 0);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof NanakshahiCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return (this.dayOfWeek(year, month, day) || 7) < 6;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof NanakshahiCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidMonth);\n        var year = date.year();\n        if (year < 0) { year++; } // No year zero\n        var doy = date.day();\n        for (var m = 1; m < date.month(); m++) {\n            doy += this.daysPerMonth[m - 1];\n        }\n        return doy + gregorian.toJD(year + 1468, 3, 13);\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof NanakshahiCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        jd = Math.floor(jd + 0.5);\n        var year = Math.floor((jd - (this.jdEpoch - 1)) / 366);\n        while (jd >= this.toJD(year + 1, 1, 1)) {\n            year++;\n        }\n        var day = jd - Math.floor(this.toJD(year, 1, 1) + 0.5) + 1;\n        var month = 1;\n        while (day > this.daysInMonth(year, month)) {\n            day -= this.daysInMonth(year, month);\n            month++;\n        }\n        return this.newDate(year, month, day);\n    }\n});\n\n// Nanakshahi calendar implementation\nmain.calendars.nanakshahi = NanakshahiCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],543:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Nepali calendar for jQuery v2.0.2.\n   Written by Artur Neumann (ict.projects{at}nepal.inf.org) April 2013.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the Nepali civil calendar.\n    Based on the ideas from \n    <a href=\"http://codeissue.com/articles/a04e050dea7468f/algorithm-to-convert-english-date-to-nepali-date-using-c-net\">http://codeissue.com/articles/a04e050dea7468f/algorithm-to-convert-english-date-to-nepali-date-using-c-net</a>\n    and <a href=\"http://birenj2ee.blogspot.com/2011/04/nepali-calendar-in-java.html\">http://birenj2ee.blogspot.com/2011/04/nepali-calendar-in-java.html</a>\n    See also <a href=\"http://en.wikipedia.org/wiki/Nepali_calendar\">http://en.wikipedia.org/wiki/Nepali_calendar</a>\n    and <a href=\"https://en.wikipedia.org/wiki/Bikram_Samwat\">https://en.wikipedia.org/wiki/Bikram_Samwat</a>.\n    @class NepaliCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction NepaliCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nNepaliCalendar.prototype = new main.baseCalendar;\n\nassign(NepaliCalendar.prototype, {\n    /** The calendar name.\n        @memberof NepaliCalendar */\n    name: 'Nepali',\n    /** Julian date of start of Nepali epoch: 14 April 57 BCE.\n        @memberof NepaliCalendar */\n    jdEpoch: 1700709.5,\n    /** Days per month in a common year.\n        @memberof NepaliCalendar */\n    daysPerMonth: [31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof NepaliCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof NepaliCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof NepaliCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof NepaliCalendar */\n    minDay: 1, \n    /** The number of days in the year.\n        @memberof NepaliCalendar */\n    daysPerYear: 365,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof NepaliCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Nepali',\n            epochs: ['BBS', 'ABS'],\n            monthNames: ['Baisakh', 'Jestha', 'Ashadh', 'Shrawan', 'Bhadra', 'Ashwin',\n            'Kartik', 'Mangsir', 'Paush', 'Mangh', 'Falgun', 'Chaitra'],\n            monthNamesShort: ['Bai', 'Je', 'As', 'Shra', 'Bha', 'Ash', 'Kar', 'Mang', 'Pau', 'Ma', 'Fal', 'Chai'],\n            dayNames: ['Aaitabaar', 'Sombaar', 'Manglbaar', 'Budhabaar', 'Bihibaar', 'Shukrabaar', 'Shanibaar'],\n            dayNamesShort: ['Aaita', 'Som', 'Mangl', 'Budha', 'Bihi', 'Shukra', 'Shani'],\n            dayNamesMin: ['Aai', 'So', 'Man', 'Bu', 'Bi', 'Shu', 'Sha'],\n            digits: null,\n            dateFormat: 'dd/mm/yyyy',\n            firstDay: 1,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof NepaliCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        return this.daysInYear(year) !== this.daysPerYear;\n    },\n\n    /** Determine the week of the year for a date.\n        @memberof NepaliCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        // Find Sunday of this week starting on Sunday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(-checkDate.dayOfWeek(), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 7) + 1;\n    },\n\n    /** Retrieve the number of days in a year.\n        @memberof NepaliCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of days.\n        @throws Error if an invalid year or a different calendar used. */\n    daysInYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        year = date.year();\n        if (typeof this.NEPALI_CALENDAR_DATA[year] === 'undefined') {\n            return this.daysPerYear;\n        }\n        var daysPerYear = 0;\n        for (var month_number = this.minMonth; month_number <= 12; month_number++) {\n            daysPerYear += this.NEPALI_CALENDAR_DATA[year][month_number];\n        }\n        return daysPerYear;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof NepaliCalendar\n        @param year {CDate|number| The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        if (year.year) {\n            month = year.month();\n            year = year.year();\n        }\n        this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return (typeof this.NEPALI_CALENDAR_DATA[year] === 'undefined' ?\n            this.daysPerMonth[month - 1] : this.NEPALI_CALENDAR_DATA[year][month]);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof NepaliCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return this.dayOfWeek(year, month, day) !== 6;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof NepaliCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(nepaliYear, nepaliMonth, nepaliDay) {\n        var date = this._validate(nepaliYear, nepaliMonth, nepaliDay, main.local.invalidDate);\n        nepaliYear = date.year();\n        nepaliMonth = date.month();\n        nepaliDay = date.day();\n        var gregorianCalendar = main.instance();\n        var gregorianDayOfYear = 0; // We will add all the days that went by since\n        // the 1st. January and then we can get the Gregorian Date\n        var nepaliMonthToCheck = nepaliMonth;\n        var nepaliYearToCheck = nepaliYear;\n        this._createMissingCalendarData(nepaliYear);\n        // Get the correct year\n        var gregorianYear = nepaliYear - (nepaliMonthToCheck > 9 || (nepaliMonthToCheck === 9 &&\n            nepaliDay >= this.NEPALI_CALENDAR_DATA[nepaliYearToCheck][0]) ? 56 : 57);\n        // First we add the amount of days in the actual Nepali month as the day of year in the\n        // Gregorian one because at least this days are gone since the 1st. Jan. \n        if (nepaliMonth !== 9) {\n            gregorianDayOfYear = nepaliDay;\n            nepaliMonthToCheck--;\n        }\n        // Now we loop throw all Nepali month and add the amount of days to gregorianDayOfYear \n        // we do this till we reach Paush (9th month). 1st. January always falls in this month  \n        while (nepaliMonthToCheck !== 9) {\n            if (nepaliMonthToCheck <= 0) {\n                nepaliMonthToCheck = 12;\n                nepaliYearToCheck--;\n            }                \n            gregorianDayOfYear += this.NEPALI_CALENDAR_DATA[nepaliYearToCheck][nepaliMonthToCheck];\n            nepaliMonthToCheck--;\n        }        \n        // If the date that has to be converted is in Paush (month no. 9) we have to do some other calculation\n        if (nepaliMonth === 9) {\n            // Add the days that are passed since the first day of Paush and substract the\n            // amount of days that lie between 1st. Jan and 1st Paush\n            gregorianDayOfYear += nepaliDay - this.NEPALI_CALENDAR_DATA[nepaliYearToCheck][0];\n            // For the first days of Paush we are now in negative values,\n            // because in the end of the gregorian year we substract\n            // 365 / 366 days (P.S. remember math in school + - gives -)\n            if (gregorianDayOfYear < 0) {\n                gregorianDayOfYear += gregorianCalendar.daysInYear(gregorianYear);\n            }\n        }\n        else {\n            gregorianDayOfYear += this.NEPALI_CALENDAR_DATA[nepaliYearToCheck][9] -\n                this.NEPALI_CALENDAR_DATA[nepaliYearToCheck][0];\n        }        \n        return gregorianCalendar.newDate(gregorianYear, 1 ,1).add(gregorianDayOfYear, 'd').toJD();\n    },\n    \n    /** Create a new date from a Julian date.\n        @memberof NepaliCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        var gregorianCalendar =  main.instance();\n        var gregorianDate = gregorianCalendar.fromJD(jd);\n        var gregorianYear = gregorianDate.year();\n        var gregorianDayOfYear = gregorianDate.dayOfYear();\n        var nepaliYear = gregorianYear + 56; //this is not final, it could be also +57 but +56 is always true for 1st Jan.\n        this._createMissingCalendarData(nepaliYear);\n        var nepaliMonth = 9; // Jan 1 always fall in Nepali month Paush which is the 9th month of Nepali calendar.\n        // Get the Nepali day in Paush (month 9) of 1st January \n        var dayOfFirstJanInPaush = this.NEPALI_CALENDAR_DATA[nepaliYear][0];\n        // Check how many days are left of Paush .\n        // Days calculated from 1st Jan till the end of the actual Nepali month, \n        // we use this value to check if the gregorian Date is in the actual Nepali month.\n        var daysSinceJanFirstToEndOfNepaliMonth =\n            this.NEPALI_CALENDAR_DATA[nepaliYear][nepaliMonth] - dayOfFirstJanInPaush + 1;\n        // If the gregorian day-of-year is smaller o equal than the sum of days between the 1st January and \n        // the end of the actual nepali month we found the correct nepali month.\n        // Example: \n        // The 4th February 2011 is the gregorianDayOfYear 35 (31 days of January + 4)\n        // 1st January 2011 is in the nepali year 2067, where 1st. January is in the 17th day of Paush (9th month)\n        // In 2067 Paush has 30days, This means (30-17+1=14) there are 14days between 1st January and end of Paush \n        // (including 17th January)\n        // The gregorianDayOfYear (35) is bigger than 14, so we check the next month\n        // The next nepali month (Mangh) has 29 days \n        // 29+14=43, this is bigger than gregorianDayOfYear(35) so, we found the correct nepali month\n        while (gregorianDayOfYear > daysSinceJanFirstToEndOfNepaliMonth) {\n            nepaliMonth++;\n            if (nepaliMonth > 12) {\n                nepaliMonth = 1;\n                nepaliYear++;\n            }    \n            daysSinceJanFirstToEndOfNepaliMonth += this.NEPALI_CALENDAR_DATA[nepaliYear][nepaliMonth];\n        }\n        // The last step is to calculate the nepali day-of-month\n        // to continue our example from before:\n        // we calculated there are 43 days from 1st. January (17 Paush) till end of Mangh (29 days)\n        // when we subtract from this 43 days the day-of-year of the the Gregorian date (35),\n        // we know how far the searched day is away from the end of the Nepali month.\n        // So we simply subtract this number from the amount of days in this month (30) \n        var nepaliDayOfMonth = this.NEPALI_CALENDAR_DATA[nepaliYear][nepaliMonth] -\n            (daysSinceJanFirstToEndOfNepaliMonth - gregorianDayOfYear);        \n        return this.newDate(nepaliYear, nepaliMonth, nepaliDayOfMonth);\n    },\n    \n    /** Creates missing data in the NEPALI_CALENDAR_DATA table.\n        This data will not be correct but just give an estimated result. Mostly -/+ 1 day\n        @private\n        @param nepaliYear {number} The missing year number. */\n    _createMissingCalendarData: function(nepaliYear) {\n        var tmp_calendar_data = this.daysPerMonth.slice(0);\n        tmp_calendar_data.unshift(17);\n        for (var nepaliYearToCreate = (nepaliYear - 1); nepaliYearToCreate < (nepaliYear + 2); nepaliYearToCreate++) {\n            if (typeof this.NEPALI_CALENDAR_DATA[nepaliYearToCreate] === 'undefined') {\n                this.NEPALI_CALENDAR_DATA[nepaliYearToCreate] = tmp_calendar_data;\n            }\n        }\n    },\n    \n    NEPALI_CALENDAR_DATA:  {\n        // These data are from http://www.ashesh.com.np\n        1970: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        1971: [18, 31, 31, 32, 31, 32, 30, 30, 29, 30, 29, 30, 30],\n        1972: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 30],\n        1973: [19, 30, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        1974: [19, 31, 31, 32, 30, 31, 31, 30, 29, 30, 29, 30, 30],\n        1975: [18, 31, 31, 32, 32, 30, 31, 30, 29, 30, 29, 30, 30],\n        1976: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        1977: [18, 31, 32, 31, 32, 31, 31, 29, 30, 29, 30, 29, 31],\n        1978: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        1979: [18, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        1980: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        1981: [18, 31, 31, 31, 32, 31, 31, 29, 30, 30, 29, 30, 30],\n        1982: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        1983: [18, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        1984: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        1985: [18, 31, 31, 31, 32, 31, 31, 29, 30, 30, 29, 30, 30],\n        1986: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        1987: [18, 31, 32, 31, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        1988: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        1989: [18, 31, 31, 31, 32, 31, 31, 30, 29, 30, 29, 30, 30],\n        1990: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        1991: [18, 31, 32, 31, 32, 31, 30, 30, 29, 30, 29, 30, 30],    \n        // These data are from http://nepalicalendar.rat32.com/index.php\n        1992: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        1993: [18, 31, 31, 31, 32, 31, 31, 30, 29, 30, 29, 30, 30],\n        1994: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        1995: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 30],\n        1996: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        1997: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        1998: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        1999: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2000: [17, 30, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        2001: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2002: [18, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2003: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2004: [17, 30, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        2005: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2006: [18, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2007: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2008: [17, 31, 31, 31, 32, 31, 31, 29, 30, 30, 29, 29, 31],\n        2009: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2010: [18, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2011: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2012: [17, 31, 31, 31, 32, 31, 31, 29, 30, 30, 29, 30, 30],\n        2013: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2014: [18, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2015: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2016: [17, 31, 31, 31, 32, 31, 31, 29, 30, 30, 29, 30, 30],\n        2017: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2018: [18, 31, 32, 31, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2019: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        2020: [17, 31, 31, 31, 32, 31, 31, 30, 29, 30, 29, 30, 30],\n        2021: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2022: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 30],\n        2023: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        2024: [17, 31, 31, 31, 32, 31, 31, 30, 29, 30, 29, 30, 30],\n        2025: [18, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2026: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2027: [17, 30, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        2028: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2029: [18, 31, 31, 32, 31, 32, 30, 30, 29, 30, 29, 30, 30],\n        2030: [17, 31, 32, 31, 32, 31, 30, 30, 30, 30, 30, 30, 31],\n        2031: [17, 31, 32, 31, 32, 31, 31, 31, 31, 31, 31, 31, 31],\n        2032: [17, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32],\n        2033: [18, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2034: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2035: [17, 30, 32, 31, 32, 31, 31, 29, 30, 30, 29, 29, 31],\n        2036: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2037: [18, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2038: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2039: [17, 31, 31, 31, 32, 31, 31, 29, 30, 30, 29, 30, 30],\n        2040: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2041: [18, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2042: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2043: [17, 31, 31, 31, 32, 31, 31, 29, 30, 30, 29, 30, 30],\n        2044: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2045: [18, 31, 32, 31, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2046: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2047: [17, 31, 31, 31, 32, 31, 31, 30, 29, 30, 29, 30, 30],\n        2048: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2049: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 30],\n        2050: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        2051: [17, 31, 31, 31, 32, 31, 31, 30, 29, 30, 29, 30, 30],\n        2052: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2053: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 30],\n        2054: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        2055: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 30, 29, 30],\n        2056: [17, 31, 31, 32, 31, 32, 30, 30, 29, 30, 29, 30, 30],\n        2057: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2058: [17, 30, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        2059: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2060: [17, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2061: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2062: [17, 30, 32, 31, 32, 31, 31, 29, 30, 29, 30, 29, 31],\n        2063: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2064: [17, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2065: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2066: [17, 31, 31, 31, 32, 31, 31, 29, 30, 30, 29, 29, 31],\n        2067: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2068: [17, 31, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2069: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2070: [17, 31, 31, 31, 32, 31, 31, 29, 30, 30, 29, 30, 30],\n        2071: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2072: [17, 31, 32, 31, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2073: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 31],\n        2074: [17, 31, 31, 31, 32, 31, 31, 30, 29, 30, 29, 30, 30],\n        2075: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2076: [16, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 30],\n        2077: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31],\n        2078: [17, 31, 31, 31, 32, 31, 31, 30, 29, 30, 29, 30, 30],\n        2079: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 29, 30, 30],\n        2080: [16, 31, 32, 31, 32, 31, 30, 30, 30, 29, 29, 30, 30],\n        // These data are from http://www.ashesh.com.np/nepali-calendar/\n        2081: [17, 31, 31, 32, 32, 31, 30, 30, 30, 29, 30, 30, 30],\n        2082: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 30, 30],\n        2083: [17, 31, 31, 32, 31, 31, 30, 30, 30, 29, 30, 30, 30],\n        2084: [17, 31, 31, 32, 31, 31, 30, 30, 30, 29, 30, 30, 30],\n        2085: [17, 31, 32, 31, 32, 31, 31, 30, 30, 29, 30, 30, 30],\n        2086: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 30, 30],\n        2087: [16, 31, 31, 32, 31, 31, 31, 30, 30, 29, 30, 30, 30],\n        2088: [16, 30, 31, 32, 32, 30, 31, 30, 30, 29, 30, 30, 30],\n        2089: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 30, 30],\n        2090: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 30, 30],\n        2091: [16, 31, 31, 32, 31, 31, 31, 30, 30, 29, 30, 30, 30],\n        2092: [16, 31, 31, 32, 32, 31, 30, 30, 30, 29, 30, 30, 30],\n        2093: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 30, 30],\n        2094: [17, 31, 31, 32, 31, 31, 30, 30, 30, 29, 30, 30, 30],\n        2095: [17, 31, 31, 32, 31, 31, 31, 30, 29, 30, 30, 30, 30],\n        2096: [17, 30, 31, 32, 32, 31, 30, 30, 29, 30, 29, 30, 30],\n        2097: [17, 31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 30, 30],\n        2098: [17, 31, 31, 32, 31, 31, 31, 29, 30, 29, 30, 30, 31],\n        2099: [17, 31, 31, 32, 31, 31, 31, 30, 29, 29, 30, 30, 30],\n        2100: [17, 31, 32, 31, 32, 30, 31, 30, 29, 30, 29, 30, 30]    \n    }\n});    \n\n// Nepali calendar implementation\nmain.calendars.nepali = NepaliCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],544:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Persian calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) August 2009.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the Persian or Jalali calendar.\n    Based on code from <a href=\"http://www.iranchamber.com/calendar/converter/iranian_calendar_converter.php\">http://www.iranchamber.com/calendar/converter/iranian_calendar_converter.php</a>.\n    See also <a href=\"http://en.wikipedia.org/wiki/Iranian_calendar\">http://en.wikipedia.org/wiki/Iranian_calendar</a>.\n    @class PersianCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction PersianCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nPersianCalendar.prototype = new main.baseCalendar;\n\nassign(PersianCalendar.prototype, {\n    /** The calendar name.\n        @memberof PersianCalendar */\n    name: 'Persian',\n    /** Julian date of start of Persian epoch: 19 March 622 CE.\n        @memberof PersianCalendar */\n    jdEpoch: 1948320.5,\n    /** Days per month in a common year.\n        @memberof PersianCalendar */\n    daysPerMonth: [31, 31, 31, 31, 31, 31, 30, 30, 30, 30, 30, 29],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof PersianCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof PersianCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof PersianCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof PersianCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof PersianCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Persian',\n            epochs: ['BP', 'AP'],\n            monthNames: ['Farvardin', 'Ordibehesht', 'Khordad', 'Tir', 'Mordad', 'Shahrivar',\n            'Mehr', 'Aban', 'Azar', 'Day', 'Bahman', 'Esfand'],\n            monthNamesShort: ['Far', 'Ord', 'Kho', 'Tir', 'Mor', 'Sha', 'Meh', 'Aba', 'Aza', 'Day', 'Bah', 'Esf'],\n            dayNames: ['Yekshambe', 'Doshambe', 'Seshambe', 'Chæharshambe', 'Panjshambe', 'Jom\\'e', 'Shambe'],\n            dayNamesShort: ['Yek', 'Do', 'Se', 'Chæ', 'Panj', 'Jom', 'Sha'],\n            dayNamesMin: ['Ye','Do','Se','Ch','Pa','Jo','Sh'],\n            digits: null,\n            dateFormat: 'yyyy/mm/dd',\n            firstDay: 6,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof PersianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return (((((date.year() - (date.year() > 0 ? 474 : 473)) % 2820) +\n            474 + 38) * 682) % 2816) < 682;\n    },\n\n    /** Determine the week of the year for a date.\n        @memberof PersianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        // Find Saturday of this week starting on Saturday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(-((checkDate.dayOfWeek() + 1) % 7), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 7) + 1;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof PersianCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        var date = this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return this.daysPerMonth[date.month() - 1] +\n            (date.month() === 12 && this.leapYear(date.year()) ? 1 : 0);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof PersianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return this.dayOfWeek(year, month, day) !== 5;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof PersianCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        year = date.year();\n        month = date.month();\n        day = date.day();\n        var epBase = year - (year >= 0 ? 474 : 473);\n        var epYear = 474 + mod(epBase, 2820);\n        return day + (month <= 7 ? (month - 1) * 31 : (month - 1) * 30 + 6) +\n            Math.floor((epYear * 682 - 110) / 2816) + (epYear - 1) * 365 +\n            Math.floor(epBase / 2820) * 1029983 + this.jdEpoch - 1;\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof PersianCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        jd = Math.floor(jd) + 0.5;\n        var depoch = jd - this.toJD(475, 1, 1);\n        var cycle = Math.floor(depoch / 1029983);\n        var cyear = mod(depoch, 1029983);\n        var ycycle = 2820;\n        if (cyear !== 1029982) {\n            var aux1 = Math.floor(cyear / 366);\n            var aux2 = mod(cyear, 366);\n            ycycle = Math.floor(((2134 * aux1) + (2816 * aux2) + 2815) / 1028522) + aux1 + 1;\n        }\n        var year = ycycle + (2820 * cycle) + 474;\n        year = (year <= 0 ? year - 1 : year);\n        var yday = jd - this.toJD(year, 1, 1) + 1;\n        var month = (yday <= 186 ? Math.ceil(yday / 31) : Math.ceil((yday - 6) / 30));\n        var day = jd - this.toJD(year, month, 1) + 1;\n        return this.newDate(year, month, day);\n    }\n});\n\n// Modulus function which works for non-integers.\nfunction mod(a, b) {\n    return a - (b * Math.floor(a / b));\n}\n\n// Persian (Jalali) calendar implementation\nmain.calendars.persian = PersianCalendar;\nmain.calendars.jalali = PersianCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],545:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Taiwanese (Minguo) calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) February 2010.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\nvar gregorianCalendar = main.instance();\n\n/** Implementation of the Taiwanese calendar.\n    See http://en.wikipedia.org/wiki/Minguo_calendar.\n    @class TaiwanCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction TaiwanCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nTaiwanCalendar.prototype = new main.baseCalendar;\n\nassign(TaiwanCalendar.prototype, {\n    /** The calendar name.\n        @memberof TaiwanCalendar */\n    name: 'Taiwan',\n    /** Julian date of start of Taiwan epoch: 1 January 1912 CE (Gregorian).\n        @memberof TaiwanCalendar */\n    jdEpoch: 2419402.5,\n    /** Difference in years between Taiwan and Gregorian calendars.\n        @memberof TaiwanCalendar */\n    yearsOffset: 1911,\n    /** Days per month in a common year.\n        @memberof TaiwanCalendar */\n    daysPerMonth: [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof TaiwanCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof TaiwanCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof TaiwanCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof TaiwanCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof TaiwanCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Taiwan',\n            epochs: ['BROC', 'ROC'],\n            monthNames: ['January', 'February', 'March', 'April', 'May', 'June',\n            'July', 'August', 'September', 'October', 'November', 'December'],\n            monthNamesShort: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],\n            dayNames: ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'],\n            dayNamesShort: ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],\n            dayNamesMin: ['Su', 'Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa'],\n            digits: null,\n            dateFormat: 'yyyy/mm/dd',\n            firstDay: 1,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof TaiwanCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        var year = this._t2gYear(date.year());\n        return gregorianCalendar.leapYear(year);\n    },\n\n    /** Determine the week of the year for a date - ISO 8601.\n        @memberof TaiwanCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        var year = this._t2gYear(date.year());\n        return gregorianCalendar.weekOfYear(year, date.month(), date.day());\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof TaiwanCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        var date = this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return this.daysPerMonth[date.month() - 1] +\n            (date.month() === 2 && this.leapYear(date.year()) ? 1 : 0);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof TaiwanCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return (this.dayOfWeek(year, month, day) || 7) < 6;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof TaiwanCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        var year = this._t2gYear(date.year());\n        return gregorianCalendar.toJD(year, date.month(), date.day());\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof TaiwanCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        var date = gregorianCalendar.fromJD(jd);\n        var year = this._g2tYear(date.year());\n        return this.newDate(year, date.month(), date.day());\n    },\n\n    /** Convert Taiwanese to Gregorian year.\n        @memberof TaiwanCalendar\n        @private\n        @param year {number} The Taiwanese year.\n        @return {number} The corresponding Gregorian year. */\n    _t2gYear: function(year) {\n        return year + this.yearsOffset + (year >= -this.yearsOffset && year <= -1 ? 1 : 0);\n    },\n\n    /** Convert Gregorian to Taiwanese year.\n        @memberof TaiwanCalendar\n        @private\n        @param year {number} The Gregorian year.\n        @return {number} The corresponding Taiwanese year. */\n    _g2tYear: function(year) {\n        return year - this.yearsOffset - (year >= 1 && year <= this.yearsOffset ? 1 : 0);\n    }\n});\n\n// Taiwan calendar implementation\nmain.calendars.taiwan = TaiwanCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],546:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Thai calendar for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) February 2010.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\nvar gregorianCalendar = main.instance();\n\n/** Implementation of the Thai calendar.\n    See http://en.wikipedia.org/wiki/Thai_calendar.\n    @class ThaiCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction ThaiCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nThaiCalendar.prototype = new main.baseCalendar;\n\nassign(ThaiCalendar.prototype, {\n    /** The calendar name.\n        @memberof ThaiCalendar */\n    name: 'Thai',\n    /** Julian date of start of Thai epoch: 1 January 543 BCE (Gregorian).\n        @memberof ThaiCalendar */\n    jdEpoch: 1523098.5,\n    /** Difference in years between Thai and Gregorian calendars.\n        @memberof ThaiCalendar */\n    yearsOffset: 543, \n    /** Days per month in a common year.\n        @memberof ThaiCalendar */\n    daysPerMonth: [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31],\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof ThaiCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof ThaiCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof ThaiCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof ThaiCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof ThaiCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Thai',\n            epochs: ['BBE', 'BE'],\n            monthNames: ['January', 'February', 'March', 'April', 'May', 'June',\n            'July', 'August', 'September', 'October', 'November', 'December'],\n            monthNamesShort: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],\n            dayNames: ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'],\n            dayNamesShort: ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],\n            dayNamesMin: ['Su', 'Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa'],\n            digits: null,\n            dateFormat: 'dd/mm/yyyy',\n            firstDay: 0,\n            isRTL: false\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof ThaiCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        var year = this._t2gYear(date.year());\n        return gregorianCalendar.leapYear(year);\n    },\n\n    /** Determine the week of the year for a date - ISO 8601.\n        @memberof ThaiCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        var year = this._t2gYear(date.year());\n        return gregorianCalendar.weekOfYear(year, date.month(), date.day());\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof ThaiCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        var date = this._validate(year, month, this.minDay, main.local.invalidMonth);\n        return this.daysPerMonth[date.month() - 1] +\n            (date.month() === 2 && this.leapYear(date.year()) ? 1 : 0);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof ThaiCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return (this.dayOfWeek(year, month, day) || 7) < 6;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof ThaiCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        var year = this._t2gYear(date.year());\n        return gregorianCalendar.toJD(year, date.month(), date.day());\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof ThaiCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        var date = gregorianCalendar.fromJD(jd);\n        var year = this._g2tYear(date.year());\n        return this.newDate(year, date.month(), date.day());\n    },\n\n    /** Convert Thai to Gregorian year.\n        @memberof ThaiCalendar\n        @private\n        @param year {number} The Thai year.\n        @return {number} The corresponding Gregorian year. */\n    _t2gYear: function(year) {\n        return year - this.yearsOffset - (year >= 1 && year <= this.yearsOffset ? 1 : 0);\n    },\n\n    /** Convert Gregorian to Thai year.\n        @memberof ThaiCalendar\n        @private\n        @param year {number} The Gregorian year.\n        @return {number} The corresponding Thai year. */\n    _g2tYear: function(year) {\n        return year + this.yearsOffset + (year >= -this.yearsOffset && year <= -1 ? 1 : 0);\n    }\n});\n\n// Thai calendar implementation\nmain.calendars.thai = ThaiCalendar;\n\n\n},{\"../main\":548,\"object-assign\":437}],547:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   UmmAlQura calendar for jQuery v2.0.2.\n   Written by Amro Osama March 2013.\n   Modified by Binnooh.com & www.elm.sa - 2014 - Added dates back to 1276 Hijri year.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar main = _dereq_('../main');\nvar assign = _dereq_('object-assign');\n\n\n/** Implementation of the UmmAlQura or 'saudi' calendar.\n    See also <a href=\"http://en.wikipedia.org/wiki/Islamic_calendar#Saudi_Arabia.27s_Umm_al-Qura_calendar\">http://en.wikipedia.org/wiki/Islamic_calendar#Saudi_Arabia.27s_Umm_al-Qura_calendar</a>.\n    <a href=\"http://www.ummulqura.org.sa/About.aspx\">http://www.ummulqura.org.sa/About.aspx</a>\n    <a href=\"http://www.staff.science.uu.nl/~gent0113/islam/ummalqura.htm\">http://www.staff.science.uu.nl/~gent0113/islam/ummalqura.htm</a>\n    @class UmmAlQuraCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction UmmAlQuraCalendar(language) {\n    this.local = this.regionalOptions[language || ''] || this.regionalOptions[''];\n}\n\nUmmAlQuraCalendar.prototype = new main.baseCalendar;\n\nassign(UmmAlQuraCalendar.prototype, {\n    /** The calendar name.\n        @memberof UmmAlQuraCalendar */\n    name: 'UmmAlQura',\n    //jdEpoch: 1948440, // Julian date of start of UmmAlQura epoch: 14 March 1937 CE\n    //daysPerMonth: // Days per month in a common year, replaced by a method.\n    /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof UmmAlQuraCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof UmmAlQuraCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof UmmAlQuraCalendar */\n    firstMonth: 1,\n    /** The minimum day number.\n        @memberof UmmAlQuraCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof UmmAlQuraCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Umm al-Qura',\n            epochs: ['BH', 'AH'],\n            monthNames: ['Al-Muharram', 'Safar', 'Rabi\\' al-awwal', 'Rabi\\' Al-Thani', 'Jumada Al-Awwal', 'Jumada Al-Thani',\n            'Rajab', 'Sha\\'aban', 'Ramadan', 'Shawwal', 'Dhu al-Qi\\'dah', 'Dhu al-Hijjah'],\n            monthNamesShort: ['Muh', 'Saf', 'Rab1', 'Rab2', 'Jum1', 'Jum2', 'Raj', 'Sha\\'', 'Ram', 'Shaw', 'DhuQ', 'DhuH'],\n            dayNames: ['Yawm al-Ahad', 'Yawm al-Ithnain', 'Yawm al-Thalāthā’', 'Yawm al-Arba‘ā’', 'Yawm al-Khamīs', 'Yawm al-Jum‘a', 'Yawm al-Sabt'],\n            dayNamesMin: ['Ah', 'Ith', 'Th', 'Ar', 'Kh', 'Ju', 'Sa'],\n            digits: null,\n            dateFormat: 'yyyy/mm/dd',\n            firstDay: 6,\n            isRTL: true\n        }\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof UmmAlQuraCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function (year) {\n        var date = this._validate(year, this.minMonth, this.minDay, main.local.invalidYear);\n        return (this.daysInYear(date.year()) === 355);\n    },\n\n    /** Determine the week of the year for a date.\n        @memberof UmmAlQuraCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function (year, month, day) {\n        // Find Sunday of this week starting on Sunday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(-checkDate.dayOfWeek(), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 7) + 1;\n    },\n\n    /** Retrieve the number of days in a year.\n        @memberof UmmAlQuraCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of days.\n        @throws Error if an invalid year or a different calendar used. */\n    daysInYear: function (year) {\n        var daysCount = 0;\n        for (var i = 1; i <= 12; i++) {\n            daysCount += this.daysInMonth(year, i);\n        }\n        return daysCount;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof UmmAlQuraCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function (year, month) {\n        var date = this._validate(year, month, this.minDay, main.local.invalidMonth);\n        var mcjdn = date.toJD() - 2400000 + 0.5; // Modified Chronological Julian Day Number (MCJDN)\n        // the MCJDN's of the start of the lunations in the Umm al-Qura calendar are stored in the 'ummalqura_dat' array\n        var index = 0;\n        for (var i = 0; i < ummalqura_dat.length; i++) {\n            if (ummalqura_dat[i] > mcjdn) {\n                return (ummalqura_dat[index] - ummalqura_dat[index - 1]);\n            }\n            index++;\n        }\n        return 30; // Unknown outside\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof UmmAlQuraCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function (year, month, day) {\n        return this.dayOfWeek(year, month, day) !== 5;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof UmmAlQuraCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function (year, month, day) {\n        var date = this._validate(year, month, day, main.local.invalidDate);\n        var index = (12 * (date.year() - 1)) + date.month() - 15292;\n        var mcjdn = date.day() + ummalqura_dat[index - 1] - 1;\n        return mcjdn + 2400000 - 0.5; // Modified Chronological Julian Day Number (MCJDN)\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof UmmAlQuraCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function (jd) {\n        var mcjdn = jd - 2400000 + 0.5; // Modified Chronological Julian Day Number (MCJDN)\n        // the MCJDN's of the start of the lunations in the Umm al-Qura calendar \n        // are stored in the 'ummalqura_dat' array\n        var index = 0;\n        for (var i = 0; i < ummalqura_dat.length; i++) {\n            if (ummalqura_dat[i] > mcjdn) break;\n            index++;\n        }\n        var lunation = index + 15292; //UmmAlQura Lunation Number\n        var ii = Math.floor((lunation - 1) / 12);\n        var year = ii + 1;\n        var month = lunation - 12 * ii;\n        var day = mcjdn - ummalqura_dat[index - 1] + 1;\n        return this.newDate(year, month, day);\n    },\n\n    /** Determine whether a date is valid for this calendar.\n        @memberof UmmAlQuraCalendar\n        @param year {number} The year to examine.\n        @param month {number} The month to examine.\n        @param day {number} The day to examine.\n        @return {boolean} <code>true</code> if a valid date, <code>false</code> if not. */\n    isValid: function(year, month, day) {\n        var valid = main.baseCalendar.prototype.isValid.apply(this, arguments);\n        if (valid) {\n            year = (year.year != null ? year.year : year);\n            valid = (year >= 1276 && year <= 1500);\n        }\n        return valid;\n    },\n\n    /** Check that a candidate date is from the same calendar and is valid.\n        @memberof UmmAlQuraCalendar\n        @private\n        @param year {CDate|number} The date to validate or the year to validate.\n        @param month {number} The month to validate.\n        @param day {number} The day to validate.\n        @param error {string} Error message if invalid.\n        @throws Error if different calendars used or invalid date. */\n    _validate: function(year, month, day, error) {\n        var date = main.baseCalendar.prototype._validate.apply(this, arguments);\n        if (date.year < 1276 || date.year > 1500) {\n            throw error.replace(/\\{0\\}/, this.local.name);\n        }\n        return date;\n    }\n});\n\n// UmmAlQura calendar implementation\nmain.calendars.ummalqura = UmmAlQuraCalendar;\n\nvar ummalqura_dat = [\n    20,    50,    79,    109,   138,   168,   197,   227,   256,   286,   315,   345,   374,   404,   433,   463,   492,   522,   551,   581, \n    611,   641,   670,   700,   729,   759,   788,   818,   847,   877,   906,   936,   965,   995,   1024,  1054,  1083,  1113,  1142,  1172,\n    1201,  1231,  1260,  1290,  1320,  1350,  1379,  1409,  1438,  1468,  1497,  1527,  1556,  1586,  1615,  1645,  1674,  1704,  1733,  1763,\n    1792,  1822,  1851,  1881,  1910,  1940,  1969,  1999,  2028,  2058,  2087,  2117,  2146,  2176,  2205,  2235,  2264,  2294,  2323,  2353,\n    2383,  2413,  2442,  2472,  2501,  2531,  2560,  2590,  2619,  2649,  2678,  2708,  2737,  2767,  2796,  2826,  2855,  2885,  2914,  2944,\n    2973,  3003,  3032,  3062,  3091,  3121,  3150,  3180,  3209,  3239,  3268,  3298,  3327,  3357,  3386,  3416,  3446,  3476,  3505,  3535,\n    3564,  3594,  3623,  3653,  3682,  3712,  3741,  3771,  3800,  3830,  3859,  3889,  3918,  3948,  3977,  4007,  4036,  4066,  4095,  4125,\n    4155,  4185,  4214,  4244,  4273,  4303,  4332,  4362,  4391,  4421,  4450,  4480,  4509,  4539,  4568,  4598,  4627,  4657,  4686,  4716,\n    4745,  4775,  4804,  4834,  4863,  4893,  4922,  4952,  4981,  5011,  5040,  5070,  5099,  5129,  5158,  5188,  5218,  5248,  5277,  5307,\n    5336,  5366,  5395,  5425,  5454,  5484,  5513,  5543,  5572,  5602,  5631,  5661,  5690,  5720,  5749,  5779,  5808,  5838,  5867,  5897,\n    5926,  5956,  5985,  6015,  6044,  6074,  6103,  6133,  6162,  6192,  6221,  6251,  6281,  6311,  6340,  6370,  6399,  6429,  6458,  6488,\n    6517,  6547,  6576,  6606,  6635,  6665,  6694,  6724,  6753,  6783,  6812,  6842,  6871,  6901,  6930,  6960,  6989,  7019,  7048,  7078,\n    7107,  7137,  7166,  7196,  7225,  7255,  7284,  7314,  7344,  7374,  7403,  7433,  7462,  7492,  7521,  7551,  7580,  7610,  7639,  7669,\n    7698,  7728,  7757,  7787,  7816,  7846,  7875,  7905,  7934,  7964,  7993,  8023,  8053,  8083,  8112,  8142,  8171,  8201,  8230,  8260,\n    8289,  8319,  8348,  8378,  8407,  8437,  8466,  8496,  8525,  8555,  8584,  8614,  8643,  8673,  8702,  8732,  8761,  8791,  8821,  8850,\n    8880,  8909,  8938,  8968,  8997,  9027,  9056,  9086,  9115,  9145,  9175,  9205,  9234,  9264,  9293,  9322,  9352,  9381,  9410,  9440,\n    9470,  9499,  9529,  9559,  9589,  9618,  9648,  9677,  9706,  9736,  9765,  9794,  9824,  9853,  9883,  9913,  9943,  9972,  10002, 10032,\n    10061, 10090, 10120, 10149, 10178, 10208, 10237, 10267, 10297, 10326, 10356, 10386, 10415, 10445, 10474, 10504, 10533, 10562, 10592, 10621,\n    10651, 10680, 10710, 10740, 10770, 10799, 10829, 10858, 10888, 10917, 10947, 10976, 11005, 11035, 11064, 11094, 11124, 11153, 11183, 11213,\n    11242, 11272, 11301, 11331, 11360, 11389, 11419, 11448, 11478, 11507, 11537, 11567, 11596, 11626, 11655, 11685, 11715, 11744, 11774, 11803,\n    11832, 11862, 11891, 11921, 11950, 11980, 12010, 12039, 12069, 12099, 12128, 12158, 12187, 12216, 12246, 12275, 12304, 12334, 12364, 12393,\n    12423, 12453, 12483, 12512, 12542, 12571, 12600, 12630, 12659, 12688, 12718, 12747, 12777, 12807, 12837, 12866, 12896, 12926, 12955, 12984,\n    13014, 13043, 13072, 13102, 13131, 13161, 13191, 13220, 13250, 13280, 13310, 13339, 13368, 13398, 13427, 13456, 13486, 13515, 13545, 13574,\n    13604, 13634, 13664, 13693, 13723, 13752, 13782, 13811, 13840, 13870, 13899, 13929, 13958, 13988, 14018, 14047, 14077, 14107, 14136, 14166,\n    14195, 14224, 14254, 14283, 14313, 14342, 14372, 14401, 14431, 14461, 14490, 14520, 14550, 14579, 14609, 14638, 14667, 14697, 14726, 14756,\n    14785, 14815, 14844, 14874, 14904, 14933, 14963, 14993, 15021, 15051, 15081, 15110, 15140, 15169, 15199, 15228, 15258, 15287, 15317, 15347,\n    15377, 15406, 15436, 15465, 15494, 15524, 15553, 15582, 15612, 15641, 15671, 15701, 15731, 15760, 15790, 15820, 15849, 15878, 15908, 15937,\n    15966, 15996, 16025, 16055, 16085, 16114, 16144, 16174, 16204, 16233, 16262, 16292, 16321, 16350, 16380, 16409, 16439, 16468, 16498, 16528,\n    16558, 16587, 16617, 16646, 16676, 16705, 16734, 16764, 16793, 16823, 16852, 16882, 16912, 16941, 16971, 17001, 17030, 17060, 17089, 17118,\n    17148, 17177, 17207, 17236, 17266, 17295, 17325, 17355, 17384, 17414, 17444, 17473, 17502, 17532, 17561, 17591, 17620, 17650, 17679, 17709,\n    17738, 17768, 17798, 17827, 17857, 17886, 17916, 17945, 17975, 18004, 18034, 18063, 18093, 18122, 18152, 18181, 18211, 18241, 18270, 18300,\n    18330, 18359, 18388, 18418, 18447, 18476, 18506, 18535, 18565, 18595, 18625, 18654, 18684, 18714, 18743, 18772, 18802, 18831, 18860, 18890,\n    18919, 18949, 18979, 19008, 19038, 19068, 19098, 19127, 19156, 19186, 19215, 19244, 19274, 19303, 19333, 19362, 19392, 19422, 19452, 19481,\n    19511, 19540, 19570, 19599, 19628, 19658, 19687, 19717, 19746, 19776, 19806, 19836, 19865, 19895, 19924, 19954, 19983, 20012, 20042, 20071,\n    20101, 20130, 20160, 20190, 20219, 20249, 20279, 20308, 20338, 20367, 20396, 20426, 20455, 20485, 20514, 20544, 20573, 20603, 20633, 20662,\n    20692, 20721, 20751, 20780, 20810, 20839, 20869, 20898, 20928, 20957, 20987, 21016, 21046, 21076, 21105, 21135, 21164, 21194, 21223, 21253,\n    21282, 21312, 21341, 21371, 21400, 21430, 21459, 21489, 21519, 21548, 21578, 21607, 21637, 21666, 21696, 21725, 21754, 21784, 21813, 21843,\n    21873, 21902, 21932, 21962, 21991, 22021, 22050, 22080, 22109, 22138, 22168, 22197, 22227, 22256, 22286, 22316, 22346, 22375, 22405, 22434,\n    22464, 22493, 22522, 22552, 22581, 22611, 22640, 22670, 22700, 22730, 22759, 22789, 22818, 22848, 22877, 22906, 22936, 22965, 22994, 23024,\n    23054, 23083, 23113, 23143, 23173, 23202, 23232, 23261, 23290, 23320, 23349, 23379, 23408, 23438, 23467, 23497, 23527, 23556, 23586, 23616,\n    23645, 23674, 23704, 23733, 23763, 23792, 23822, 23851, 23881, 23910, 23940, 23970, 23999, 24029, 24058, 24088, 24117, 24147, 24176, 24206,\n    24235, 24265, 24294, 24324, 24353, 24383, 24413, 24442, 24472, 24501, 24531, 24560, 24590, 24619, 24648, 24678, 24707, 24737, 24767, 24796,\n    24826, 24856, 24885, 24915, 24944, 24974, 25003, 25032, 25062, 25091, 25121, 25150, 25180, 25210, 25240, 25269, 25299, 25328, 25358, 25387,\n    25416, 25446, 25475, 25505, 25534, 25564, 25594, 25624, 25653, 25683, 25712, 25742, 25771, 25800, 25830, 25859, 25888, 25918, 25948, 25977,\n    26007, 26037, 26067, 26096, 26126, 26155, 26184, 26214, 26243, 26272, 26302, 26332, 26361, 26391, 26421, 26451, 26480, 26510, 26539, 26568,\n    26598, 26627, 26656, 26686, 26715, 26745, 26775, 26805, 26834, 26864, 26893, 26923, 26952, 26982, 27011, 27041, 27070, 27099, 27129, 27159,\n    27188, 27218, 27248, 27277, 27307, 27336, 27366, 27395, 27425, 27454, 27484, 27513, 27542, 27572, 27602, 27631, 27661, 27691, 27720, 27750,\n    27779, 27809, 27838, 27868, 27897, 27926, 27956, 27985, 28015, 28045, 28074, 28104, 28134, 28163, 28193, 28222, 28252, 28281, 28310, 28340,\n    28369, 28399, 28428, 28458, 28488, 28517, 28547, 28577,\n    // From 1356\n    28607, 28636, 28665, 28695, 28724, 28754, 28783, 28813, 28843, 28872, 28901, 28931, 28960, 28990, 29019, 29049, 29078, 29108, 29137, 29167,\n    29196, 29226, 29255, 29285, 29315, 29345, 29375, 29404, 29434, 29463, 29492, 29522, 29551, 29580, 29610, 29640, 29669, 29699, 29729, 29759,\n    29788, 29818, 29847, 29876, 29906, 29935, 29964, 29994, 30023, 30053, 30082, 30112, 30141, 30171, 30200, 30230, 30259, 30289, 30318, 30348,\n    30378, 30408, 30437, 30467, 30496, 30526, 30555, 30585, 30614, 30644, 30673, 30703, 30732, 30762, 30791, 30821, 30850, 30880, 30909, 30939,\n    30968, 30998, 31027, 31057, 31086, 31116, 31145, 31175, 31204, 31234, 31263, 31293, 31322, 31352, 31381, 31411, 31441, 31471, 31500, 31530,\n    31559, 31589, 31618, 31648, 31676, 31706, 31736, 31766, 31795, 31825, 31854, 31884, 31913, 31943, 31972, 32002, 32031, 32061, 32090, 32120,\n    32150, 32180, 32209, 32239, 32268, 32298, 32327, 32357, 32386, 32416, 32445, 32475, 32504, 32534, 32563, 32593, 32622, 32652, 32681, 32711,\n    32740, 32770, 32799, 32829, 32858, 32888, 32917, 32947, 32976, 33006, 33035, 33065, 33094, 33124, 33153, 33183, 33213, 33243, 33272, 33302,\n    33331, 33361, 33390, 33420, 33450, 33479, 33509, 33539, 33568, 33598, 33627, 33657, 33686, 33716, 33745, 33775, 33804, 33834, 33863, 33893,\n    33922, 33952, 33981, 34011, 34040, 34069, 34099, 34128, 34158, 34187, 34217, 34247, 34277, 34306, 34336, 34365, 34395, 34424, 34454, 34483,\n    34512, 34542, 34571, 34601, 34631, 34660, 34690, 34719, 34749, 34778, 34808, 34837, 34867, 34896, 34926, 34955, 34985, 35015, 35044, 35074,\n    35103, 35133, 35162, 35192, 35222, 35251, 35280, 35310, 35340, 35370, 35399, 35429, 35458, 35488, 35517, 35547, 35576, 35605, 35635, 35665,\n    35694, 35723, 35753, 35782, 35811, 35841, 35871, 35901, 35930, 35960, 35989, 36019, 36048, 36078, 36107, 36136, 36166, 36195, 36225, 36254,\n    36284, 36314, 36343, 36373, 36403, 36433, 36462, 36492, 36521, 36551, 36580, 36610, 36639, 36669, 36698, 36728, 36757, 36786, 36816, 36845,\n    36875, 36904, 36934, 36963, 36993, 37022, 37052, 37081, 37111, 37141, 37170, 37200, 37229, 37259, 37288, 37318, 37347, 37377, 37406, 37436,\n    37465, 37495, 37524, 37554, 37584, 37613, 37643, 37672, 37701, 37731, 37760, 37790, 37819, 37849, 37878, 37908, 37938, 37967, 37997, 38027,\n    38056, 38085, 38115, 38144, 38174, 38203, 38233, 38262, 38292, 38322, 38351, 38381, 38410, 38440, 38469, 38499, 38528, 38558, 38587, 38617,\n    38646, 38676, 38705, 38735, 38764, 38794, 38823, 38853, 38882, 38912, 38941, 38971, 39001, 39030, 39059, 39089, 39118, 39148, 39178, 39208,\n    39237, 39267, 39297, 39326, 39355, 39385, 39414, 39444, 39473, 39503, 39532, 39562, 39592, 39621, 39650, 39680, 39709, 39739, 39768, 39798,\n    39827, 39857, 39886, 39916, 39946, 39975, 40005, 40035, 40064, 40094, 40123, 40153, 40182, 40212, 40241, 40271, 40300, 40330, 40359, 40389,\n    40418, 40448, 40477, 40507, 40536, 40566, 40595, 40625, 40655, 40685, 40714, 40744, 40773, 40803, 40832, 40862, 40892, 40921, 40951, 40980,\n    41009, 41039, 41068, 41098, 41127, 41157, 41186, 41216, 41245, 41275, 41304, 41334, 41364, 41393, 41422, 41452, 41481, 41511, 41540, 41570,\n    41599, 41629, 41658, 41688, 41718, 41748, 41777, 41807, 41836, 41865, 41894, 41924, 41953, 41983, 42012, 42042, 42072, 42102, 42131, 42161,\n    42190, 42220, 42249, 42279, 42308, 42337, 42367, 42397, 42426, 42456, 42485, 42515, 42545, 42574, 42604, 42633, 42662, 42692, 42721, 42751,\n    42780, 42810, 42839, 42869, 42899, 42929, 42958, 42988, 43017, 43046, 43076, 43105, 43135, 43164, 43194, 43223, 43253, 43283, 43312, 43342,\n    43371, 43401, 43430, 43460, 43489, 43519, 43548, 43578, 43607, 43637, 43666, 43696, 43726, 43755, 43785, 43814, 43844, 43873, 43903, 43932,\n    43962, 43991, 44021, 44050, 44080, 44109, 44139, 44169, 44198, 44228, 44258, 44287, 44317, 44346, 44375, 44405, 44434, 44464, 44493, 44523,\n    44553, 44582, 44612, 44641, 44671, 44700, 44730, 44759, 44788, 44818, 44847, 44877, 44906, 44936, 44966, 44996, 45025, 45055, 45084, 45114,\n    45143, 45172, 45202, 45231, 45261, 45290, 45320, 45350, 45380, 45409, 45439, 45468, 45498, 45527, 45556, 45586, 45615, 45644, 45674, 45704,\n    45733, 45763, 45793, 45823, 45852, 45882, 45911, 45940, 45970, 45999, 46028, 46058, 46088, 46117, 46147, 46177, 46206, 46236, 46265, 46295,\n    46324, 46354, 46383, 46413, 46442, 46472, 46501, 46531, 46560, 46590, 46620, 46649, 46679, 46708, 46738, 46767, 46797, 46826, 46856, 46885,\n    46915, 46944, 46974, 47003, 47033, 47063, 47092, 47122, 47151, 47181, 47210, 47240, 47269, 47298, 47328, 47357, 47387, 47417, 47446, 47476,\n    47506, 47535, 47565, 47594, 47624, 47653, 47682, 47712, 47741, 47771, 47800, 47830, 47860, 47890, 47919, 47949, 47978, 48008, 48037, 48066,\n    48096, 48125, 48155, 48184, 48214, 48244, 48273, 48303, 48333, 48362, 48392, 48421, 48450, 48480, 48509, 48538, 48568, 48598, 48627, 48657,\n    48687, 48717, 48746, 48776, 48805, 48834, 48864, 48893, 48922, 48952, 48982, 49011, 49041, 49071, 49100, 49130, 49160, 49189, 49218, 49248,\n    49277, 49306, 49336, 49365, 49395, 49425, 49455, 49484, 49514, 49543, 49573, 49602, 49632, 49661, 49690, 49720, 49749, 49779, 49809, 49838,\n    49868, 49898, 49927, 49957, 49986, 50016, 50045, 50075, 50104, 50133, 50163, 50192, 50222, 50252, 50281, 50311, 50340, 50370, 50400, 50429,\n    50459, 50488, 50518, 50547, 50576, 50606, 50635, 50665, 50694, 50724, 50754, 50784, 50813, 50843, 50872, 50902, 50931, 50960, 50990, 51019,\n    51049, 51078, 51108, 51138, 51167, 51197, 51227, 51256, 51286, 51315, 51345, 51374, 51403, 51433, 51462, 51492, 51522, 51552, 51582, 51611,\n    51641, 51670, 51699, 51729, 51758, 51787, 51816, 51846, 51876, 51906, 51936, 51965, 51995, 52025, 52054, 52083, 52113, 52142, 52171, 52200,\n    52230, 52260, 52290, 52319, 52349, 52379, 52408, 52438, 52467, 52497, 52526, 52555, 52585, 52614, 52644, 52673, 52703, 52733, 52762, 52792,\n    52822, 52851, 52881, 52910, 52939, 52969, 52998, 53028, 53057, 53087, 53116, 53146, 53176, 53205, 53235, 53264, 53294, 53324, 53353, 53383,\n    53412, 53441, 53471, 53500, 53530, 53559, 53589, 53619, 53648, 53678, 53708, 53737, 53767, 53796, 53825, 53855, 53884, 53913, 53943, 53973,\n    54003, 54032, 54062, 54092, 54121, 54151, 54180, 54209, 54239, 54268, 54297, 54327, 54357, 54387, 54416, 54446, 54476, 54505, 54535, 54564,\n    54593, 54623, 54652, 54681, 54711, 54741, 54770, 54800, 54830, 54859, 54889, 54919, 54948, 54977, 55007, 55036, 55066, 55095, 55125, 55154,\n    55184, 55213, 55243, 55273, 55302, 55332, 55361, 55391, 55420, 55450, 55479, 55508, 55538, 55567, 55597, 55627, 55657, 55686, 55716, 55745,\n    55775, 55804, 55834, 55863, 55892, 55922, 55951, 55981, 56011, 56040, 56070, 56100, 56129, 56159, 56188, 56218, 56247, 56276, 56306, 56335,\n    56365, 56394, 56424, 56454, 56483, 56513, 56543, 56572, 56601, 56631, 56660, 56690, 56719, 56749, 56778, 56808, 56837, 56867, 56897, 56926,\n    56956, 56985, 57015, 57044, 57074, 57103, 57133, 57162, 57192, 57221, 57251, 57280, 57310, 57340, 57369, 57399, 57429, 57458, 57487, 57517,\n    57546, 57576, 57605, 57634, 57664, 57694, 57723, 57753, 57783, 57813, 57842, 57871, 57901, 57930, 57959, 57989, 58018, 58048, 58077, 58107,\n    58137, 58167, 58196, 58226, 58255, 58285, 58314, 58343, 58373, 58402, 58432, 58461, 58491, 58521, 58551, 58580, 58610, 58639, 58669, 58698,\n    58727, 58757, 58786, 58816, 58845, 58875, 58905, 58934, 58964, 58994, 59023, 59053, 59082, 59111, 59141, 59170, 59200, 59229, 59259, 59288,\n    59318, 59348, 59377, 59407, 59436, 59466, 59495, 59525, 59554, 59584, 59613, 59643, 59672, 59702, 59731, 59761, 59791, 59820, 59850, 59879,\n    59909, 59939, 59968, 59997, 60027, 60056, 60086, 60115, 60145, 60174, 60204, 60234, 60264, 60293, 60323, 60352, 60381, 60411, 60440, 60469,\n    60499, 60528, 60558, 60588, 60618, 60648, 60677, 60707, 60736, 60765, 60795, 60824, 60853, 60883, 60912, 60942, 60972, 61002, 61031, 61061,\n    61090, 61120, 61149, 61179, 61208, 61237, 61267, 61296, 61326, 61356, 61385, 61415, 61445, 61474, 61504, 61533, 61563, 61592, 61621, 61651,\n    61680, 61710, 61739, 61769, 61799, 61828, 61858, 61888, 61917, 61947, 61976, 62006, 62035, 62064, 62094, 62123, 62153, 62182, 62212, 62242,\n    62271, 62301, 62331, 62360, 62390, 62419, 62448, 62478, 62507, 62537, 62566, 62596, 62625, 62655, 62685, 62715, 62744, 62774, 62803, 62832,\n    62862, 62891, 62921, 62950, 62980, 63009, 63039, 63069, 63099, 63128, 63157, 63187, 63216, 63246, 63275, 63305, 63334, 63363, 63393, 63423,\n    63453, 63482, 63512, 63541, 63571, 63600, 63630, 63659, 63689, 63718, 63747, 63777, 63807, 63836, 63866, 63895, 63925, 63955, 63984, 64014,\n    64043, 64073, 64102, 64131, 64161, 64190, 64220, 64249, 64279, 64309, 64339, 64368, 64398, 64427, 64457, 64486, 64515, 64545, 64574, 64603,\n    64633, 64663, 64692, 64722, 64752, 64782, 64811, 64841, 64870, 64899, 64929, 64958, 64987, 65017, 65047, 65076, 65106, 65136, 65166, 65195,\n    65225, 65254, 65283, 65313, 65342, 65371, 65401, 65431, 65460, 65490, 65520, 65549, 65579, 65608, 65638, 65667, 65697, 65726, 65755, 65785,\n    65815, 65844, 65874, 65903, 65933, 65963, 65992, 66022, 66051, 66081, 66110, 66140, 66169, 66199, 66228, 66258, 66287, 66317, 66346, 66376,\n    66405, 66435, 66465, 66494, 66524, 66553, 66583, 66612, 66641, 66671, 66700, 66730, 66760, 66789, 66819, 66849, 66878, 66908, 66937, 66967,\n    66996, 67025, 67055, 67084, 67114, 67143, 67173, 67203, 67233, 67262, 67292, 67321, 67351, 67380, 67409, 67439, 67468, 67497, 67527, 67557,\n    67587, 67617, 67646, 67676, 67705, 67735, 67764, 67793, 67823, 67852, 67882, 67911, 67941, 67971, 68000, 68030, 68060, 68089, 68119, 68148,\n    68177, 68207, 68236, 68266, 68295, 68325, 68354, 68384, 68414, 68443, 68473, 68502, 68532, 68561, 68591, 68620, 68650, 68679, 68708, 68738,\n    68768, 68797, 68827, 68857, 68886, 68916, 68946, 68975, 69004, 69034, 69063, 69092, 69122, 69152, 69181, 69211, 69240, 69270, 69300, 69330,\n    69359, 69388, 69418, 69447, 69476, 69506, 69535, 69565, 69595, 69624, 69654, 69684, 69713, 69743, 69772, 69802, 69831, 69861, 69890, 69919,\n    69949, 69978, 70008, 70038, 70067, 70097, 70126, 70156, 70186, 70215, 70245, 70274, 70303, 70333, 70362, 70392, 70421, 70451, 70481, 70510,\n    70540, 70570, 70599, 70629, 70658, 70687, 70717, 70746, 70776, 70805, 70835, 70864, 70894, 70924, 70954, 70983, 71013, 71042, 71071, 71101,\n    71130, 71159, 71189, 71218, 71248, 71278, 71308, 71337, 71367, 71397, 71426, 71455, 71485, 71514, 71543, 71573, 71602, 71632, 71662, 71691,\n    71721, 71751, 71781, 71810, 71839, 71869, 71898, 71927, 71957, 71986, 72016, 72046, 72075, 72105, 72135, 72164, 72194, 72223, 72253, 72282,\n    72311, 72341, 72370, 72400, 72429, 72459, 72489, 72518, 72548, 72577, 72607, 72637, 72666, 72695, 72725, 72754, 72784, 72813, 72843, 72872,\n    72902, 72931, 72961, 72991, 73020, 73050, 73080, 73109, 73139, 73168, 73197, 73227, 73256, 73286, 73315, 73345, 73375, 73404, 73434, 73464,\n    73493, 73523, 73552, 73581, 73611, 73640, 73669, 73699, 73729, 73758, 73788, 73818, 73848, 73877, 73907, 73936, 73965, 73995, 74024, 74053,\n    74083, 74113, 74142, 74172, 74202, 74231, 74261, 74291, 74320, 74349, 74379, 74408, 74437, 74467, 74497, 74526, 74556, 74586, 74615, 74645,\n    74675, 74704, 74733, 74763, 74792, 74822, 74851, 74881, 74910, 74940, 74969, 74999, 75029, 75058, 75088, 75117, 75147, 75176, 75206, 75235,\n    75264, 75294, 75323, 75353, 75383, 75412, 75442, 75472, 75501, 75531, 75560, 75590, 75619, 75648, 75678, 75707, 75737, 75766, 75796, 75826,\n    75856, 75885, 75915, 75944, 75974, 76003, 76032, 76062, 76091, 76121, 76150, 76180, 76210, 76239, 76269, 76299, 76328, 76358, 76387, 76416,\n    76446, 76475, 76505, 76534, 76564, 76593, 76623, 76653, 76682, 76712, 76741, 76771, 76801, 76830, 76859, 76889, 76918, 76948, 76977, 77007,\n    77036, 77066, 77096, 77125, 77155, 77185, 77214, 77243, 77273, 77302, 77332, 77361, 77390, 77420, 77450, 77479, 77509, 77539, 77569, 77598,\n    77627, 77657, 77686, 77715, 77745, 77774, 77804, 77833, 77863, 77893, 77923, 77952, 77982, 78011, 78041, 78070, 78099, 78129, 78158, 78188,\n    78217, 78247, 78277, 78307, 78336, 78366, 78395, 78425, 78454, 78483, 78513, 78542, 78572, 78601, 78631, 78661, 78690, 78720, 78750, 78779,\n    78808, 78838, 78867, 78897, 78926, 78956, 78985, 79015, 79044, 79074, 79104, 79133, 79163, 79192, 79222, 79251, 79281, 79310, 79340, 79369,\n    79399, 79428, 79458, 79487, 79517, 79546, 79576, 79606, 79635, 79665, 79695, 79724, 79753, 79783, 79812, 79841, 79871, 79900, 79930, 79960,\n    79990];\n\n\n},{\"../main\":548,\"object-assign\":437}],548:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Calendars for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) August 2009.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar assign = _dereq_('object-assign');\n\n\nfunction Calendars() {\n    this.regionalOptions = [];\n    this.regionalOptions[''] = {\n        invalidCalendar: 'Calendar {0} not found',\n        invalidDate: 'Invalid {0} date',\n        invalidMonth: 'Invalid {0} month',\n        invalidYear: 'Invalid {0} year',\n        differentCalendars: 'Cannot mix {0} and {1} dates'\n    };\n    this.local = this.regionalOptions[''];\n    this.calendars = {};\n    this._localCals = {};\n}\n\n/** Create the calendars plugin.\n    <p>Provides support for various world calendars in a consistent manner.</p>\n     @class Calendars\n    @example _exports.instance('julian').newDate(2014, 12, 25) */\nassign(Calendars.prototype, {\n\n    /** Obtain a calendar implementation and localisation.\n        @memberof Calendars\n        @param [name='gregorian'] {string} The name of the calendar, e.g. 'gregorian', 'persian', 'islamic'.\n        @param [language=''] {string} The language code to use for localisation (default is English).\n        @return {Calendar} The calendar and localisation.\n        @throws Error if calendar not found. */\n    instance: function(name, language) {\n        name = (name || 'gregorian').toLowerCase();\n        language = language || '';\n        var cal = this._localCals[name + '-' + language];\n        if (!cal && this.calendars[name]) {\n            cal = new this.calendars[name](language);\n            this._localCals[name + '-' + language] = cal;\n        }\n        if (!cal) {\n            throw (this.local.invalidCalendar || this.regionalOptions[''].invalidCalendar).\n                replace(/\\{0\\}/, name);\n        }\n        return cal;\n    },\n\n    /** Create a new date - for today if no other parameters given.\n        @memberof Calendars\n        @param year {CDate|number} The date to copy or the year for the date.\n        @param [month] {number} The month for the date.\n        @param [day] {number} The day for the date.\n        @param [calendar='gregorian'] {BaseCalendar|string} The underlying calendar or the name of the calendar.\n        @param [language=''] {string} The language to use for localisation (default English).\n        @return {CDate} The new date.\n        @throws Error if an invalid date. */\n    newDate: function(year, month, day, calendar, language) {\n        calendar = (year != null && year.year ? year.calendar() : (typeof calendar === 'string' ?\n            this.instance(calendar, language) : calendar)) || this.instance();\n        return calendar.newDate(year, month, day);\n    },\n    \n    /** A simple digit substitution function for localising numbers via the Calendar digits option.\n        @member Calendars\n        @param digits {string[]} The substitute digits, for 0 through 9.\n        @return {function} The substitution function. */\n    substituteDigits: function(digits) {\n        return function(value) {\n            return (value + '').replace(/[0-9]/g, function(digit) {\n                return digits[digit];\n            });\n        }\n    },\n    \n    /** Digit substitution function for localising Chinese style numbers via the Calendar digits option.\n        @member Calendars\n        @param digits {string[]} The substitute digits, for 0 through 9.\n        @param powers {string[]} The characters denoting powers of 10, i.e. 1, 10, 100, 1000.\n        @return {function} The substitution function. */\n    substituteChineseDigits: function(digits, powers) {\n        return function(value) {\n            var localNumber = '';\n            var power = 0;\n            while (value > 0) {\n                var units = value % 10;\n                localNumber = (units === 0 ? '' : digits[units] + powers[power]) + localNumber;\n                power++;\n                value = Math.floor(value / 10);\n            }\n            if (localNumber.indexOf(digits[1] + powers[1]) === 0) {\n                localNumber = localNumber.substr(1);\n            }\n            return localNumber || digits[0];\n        }\n    }\n});\n\n/** Generic date, based on a particular calendar.\n    @class CDate\n    @param calendar {BaseCalendar} The underlying calendar implementation.\n    @param year {number} The year for this date.\n    @param month {number} The month for this date.\n    @param day {number} The day for this date.\n    @return {CDate} The date object.\n    @throws Error if an invalid date. */\nfunction CDate(calendar, year, month, day) {\n    this._calendar = calendar;\n    this._year = year;\n    this._month = month;\n    this._day = day;\n    if (this._calendar._validateLevel === 0 &&\n            !this._calendar.isValid(this._year, this._month, this._day)) {\n        throw (_exports.local.invalidDate || _exports.regionalOptions[''].invalidDate).\n            replace(/\\{0\\}/, this._calendar.local.name);\n    }\n}\n\n/** Pad a numeric value with leading zeroes.\n    @private\n    @param value {number} The number to format.\n    @param length {number} The minimum length.\n    @return {string} The formatted number. */\nfunction pad(value, length) {\n    value = '' + value;\n    return '000000'.substring(0, length - value.length) + value;\n}\n\nassign(CDate.prototype, {\n\n    /** Create a new date.\n        @memberof CDate\n        @param [year] {CDate|number} The date to copy or the year for the date (default this date).\n        @param [month] {number} The month for the date.\n        @param [day] {number} The day for the date.\n        @return {CDate} The new date.\n        @throws Error if an invalid date. */\n    newDate: function(year, month, day) {\n        return this._calendar.newDate((year == null ? this : year), month, day);\n    },\n\n    /** Set or retrieve the year for this date.\n        @memberof CDate\n        @param [year] {number} The year for the date.\n        @return {number|CDate} The date's year (if no parameter) or the updated date.\n        @throws Error if an invalid date. */\n    year: function(year) {\n        return (arguments.length === 0 ? this._year : this.set(year, 'y'));\n    },\n\n    /** Set or retrieve the month for this date.\n        @memberof CDate\n        @param [month] {number} The month for the date.\n        @return {number|CDate} The date's month (if no parameter) or the updated date.\n        @throws Error if an invalid date. */\n    month: function(month) {\n        return (arguments.length === 0 ? this._month : this.set(month, 'm'));\n    },\n\n    /** Set or retrieve the day for this date.\n        @memberof CDate\n        @param [day] {number} The day for the date.\n        @return {number|CData} The date's day (if no parameter) or the updated date.\n        @throws Error if an invalid date. */\n    day: function(day) {\n        return (arguments.length === 0 ? this._day : this.set(day, 'd'));\n    },\n\n    /** Set new values for this date.\n        @memberof CDate\n        @param year {number} The year for the date.\n        @param month {number} The month for the date.\n        @param day {number} The day for the date.\n        @return {CDate} The updated date.\n        @throws Error if an invalid date. */\n    date: function(year, month, day) {\n        if (!this._calendar.isValid(year, month, day)) {\n            throw (_exports.local.invalidDate || _exports.regionalOptions[''].invalidDate).\n                replace(/\\{0\\}/, this._calendar.local.name);\n        }\n        this._year = year;\n        this._month = month;\n        this._day = day;\n        return this;\n    },\n\n    /** Determine whether this date is in a leap year.\n        @memberof CDate\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not. */\n    leapYear: function() {\n        return this._calendar.leapYear(this);\n    },\n\n    /** Retrieve the epoch designator for this date, e.g. BCE or CE.\n        @memberof CDate\n        @return {string} The current epoch. */\n    epoch: function() {\n        return this._calendar.epoch(this);\n    },\n\n    /** Format the year, if not a simple sequential number.\n        @memberof CDate\n        @return {string} The formatted year. */\n    formatYear: function() {\n        return this._calendar.formatYear(this);\n    },\n\n    /** Retrieve the month of the year for this date,\n        i.e. the month's position within a numbered year.\n        @memberof CDate\n        @return {number} The month of the year: <code>minMonth</code> to months per year. */\n    monthOfYear: function() {\n        return this._calendar.monthOfYear(this);\n    },\n\n    /** Retrieve the week of the year for this date.\n        @memberof CDate\n        @return {number} The week of the year: 1 to weeks per year. */\n    weekOfYear: function() {\n        return this._calendar.weekOfYear(this);\n    },\n\n    /** Retrieve the number of days in the year for this date.\n        @memberof CDate\n        @return {number} The number of days in this year. */\n    daysInYear: function() {\n        return this._calendar.daysInYear(this);\n    },\n\n    /** Retrieve the day of the year for this date.\n        @memberof CDate\n        @return {number} The day of the year: 1 to days per year. */\n    dayOfYear: function() {\n        return this._calendar.dayOfYear(this);\n    },\n\n    /** Retrieve the number of days in the month for this date.\n        @memberof CDate\n        @return {number} The number of days. */\n    daysInMonth: function() {\n        return this._calendar.daysInMonth(this);\n    },\n\n    /** Retrieve the day of the week for this date.\n        @memberof CDate\n        @return {number} The day of the week: 0 to number of days - 1. */\n    dayOfWeek: function() {\n        return this._calendar.dayOfWeek(this);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof CDate\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not. */\n    weekDay: function() {\n        return this._calendar.weekDay(this);\n    },\n\n    /** Retrieve additional information about this date.\n        @memberof CDate\n        @return {object} Additional information - contents depends on calendar. */\n    extraInfo: function() {\n        return this._calendar.extraInfo(this);\n    },\n\n    /** Add period(s) to a date.\n        @memberof CDate\n        @param offset {number} The number of periods to adjust by.\n        @param period {string} One of 'y' for year, 'm' for month, 'w' for week, 'd' for day.\n        @return {CDate} The updated date. */\n    add: function(offset, period) {\n        return this._calendar.add(this, offset, period);\n    },\n\n    /** Set a portion of the date.\n        @memberof CDate\n        @param value {number} The new value for the period.\n        @param period {string} One of 'y' for year, 'm' for month, 'd' for day.\n        @return {CDate} The updated date.\n        @throws Error if not a valid date. */\n    set: function(value, period) {\n        return this._calendar.set(this, value, period);\n    },\n\n    /** Compare this date to another date.\n        @memberof CDate\n        @param date {CDate} The other date.\n        @return {number} -1 if this date is before the other date,\n                0 if they are equal, or +1 if this date is after the other date. */\n    compareTo: function(date) {\n        if (this._calendar.name !== date._calendar.name) {\n            throw (_exports.local.differentCalendars || _exports.regionalOptions[''].differentCalendars).\n                replace(/\\{0\\}/, this._calendar.local.name).replace(/\\{1\\}/, date._calendar.local.name);\n        }\n        var c = (this._year !== date._year ? this._year - date._year :\n            this._month !== date._month ? this.monthOfYear() - date.monthOfYear() :\n            this._day - date._day);\n        return (c === 0 ? 0 : (c < 0 ? -1 : +1));\n    },\n\n    /** Retrieve the calendar backing this date.\n        @memberof CDate\n        @return {BaseCalendar} The calendar implementation. */\n    calendar: function() {\n        return this._calendar;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof CDate\n        @return {number} The equivalent Julian date. */\n    toJD: function() {\n        return this._calendar.toJD(this);\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof CDate\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        return this._calendar.fromJD(jd);\n    },\n\n    /** Convert this date to a standard (Gregorian) JavaScript Date.\n        @memberof CDate\n        @return {Date} The equivalent JavaScript date. */\n    toJSDate: function() {\n        return this._calendar.toJSDate(this);\n    },\n\n    /** Create a new date from a standard (Gregorian) JavaScript Date.\n        @memberof CDate\n        @param jsd {Date} The JavaScript date to convert.\n        @return {CDate} The equivalent date. */\n    fromJSDate: function(jsd) {\n        return this._calendar.fromJSDate(jsd);\n    },\n\n    /** Convert to a string for display.\n        @memberof CDate\n        @return {string} This date as a string. */\n    toString: function() {\n        return (this.year() < 0 ? '-' : '') + pad(Math.abs(this.year()), 4) +\n            '-' + pad(this.month(), 2) + '-' + pad(this.day(), 2);\n    }\n});\n\n/** Basic functionality for all calendars.\n    Other calendars should extend this:\n    <pre>OtherCalendar.prototype = new BaseCalendar;</pre>\n    @class BaseCalendar */\nfunction BaseCalendar() {\n    this.shortYearCutoff = '+10';\n}\n\nassign(BaseCalendar.prototype, {\n    _validateLevel: 0, // \"Stack\" to turn validation on/off\n\n    /** Create a new date within this calendar - today if no parameters given.\n        @memberof BaseCalendar\n        @param year {CDate|number} The date to duplicate or the year for the date.\n        @param [month] {number} The month for the date.\n        @param [day] {number} The day for the date.\n        @return {CDate} The new date.\n        @throws Error if not a valid date or a different calendar used. */\n    newDate: function(year, month, day) {\n        if (year == null) {\n            return this.today();\n        }\n        if (year.year) {\n            this._validate(year, month, day,\n                _exports.local.invalidDate || _exports.regionalOptions[''].invalidDate);\n            day = year.day();\n            month = year.month();\n            year = year.year();\n        }\n        return new CDate(this, year, month, day);\n    },\n\n    /** Create a new date for today.\n        @memberof BaseCalendar\n        @return {CDate} Today's date. */\n    today: function() {\n        return this.fromJSDate(new Date());\n    },\n\n    /** Retrieve the epoch designator for this date.\n        @memberof BaseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {string} The current epoch.\n        @throws Error if an invalid year or a different calendar used. */\n    epoch: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay,\n            _exports.local.invalidYear || _exports.regionalOptions[''].invalidYear);\n        return (date.year() < 0 ? this.local.epochs[0] : this.local.epochs[1]);\n    },\n\n    /** Format the year, if not a simple sequential number\n        @memberof BaseCalendar\n        @param year {CDate|number} The date to format or the year to format.\n        @return {string} The formatted year.\n        @throws Error if an invalid year or a different calendar used. */\n    formatYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay,\n            _exports.local.invalidYear || _exports.regionalOptions[''].invalidYear);\n        return (date.year() < 0 ? '-' : '') + pad(Math.abs(date.year()), 4)\n    },\n\n    /** Retrieve the number of months in a year.\n        @memberof BaseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of months.\n        @throws Error if an invalid year or a different calendar used. */\n    monthsInYear: function(year) {\n        this._validate(year, this.minMonth, this.minDay,\n            _exports.local.invalidYear || _exports.regionalOptions[''].invalidYear);\n        return 12;\n    },\n\n    /** Calculate the month's ordinal position within the year -\n        for those calendars that don't start at month 1!\n        @memberof BaseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param month {number} The month to examine.\n        @return {number} The ordinal position, starting from <code>minMonth</code>.\n        @throws Error if an invalid year/month or a different calendar used. */\n    monthOfYear: function(year, month) {\n        var date = this._validate(year, month, this.minDay,\n            _exports.local.invalidMonth || _exports.regionalOptions[''].invalidMonth);\n        return (date.month() + this.monthsInYear(date) - this.firstMonth) %\n            this.monthsInYear(date) + this.minMonth;\n    },\n\n    /** Calculate actual month from ordinal position, starting from minMonth.\n        @memberof BaseCalendar\n        @param year {number} The year to examine.\n        @param ord {number} The month's ordinal position.\n        @return {number} The month's number.\n        @throws Error if an invalid year/month. */\n    fromMonthOfYear: function(year, ord) {\n        var m = (ord + this.firstMonth - 2 * this.minMonth) %\n            this.monthsInYear(year) + this.minMonth;\n        this._validate(year, m, this.minDay,\n            _exports.local.invalidMonth || _exports.regionalOptions[''].invalidMonth);\n        return m;\n    },\n\n    /** Retrieve the number of days in a year.\n        @memberof BaseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {number} The number of days.\n        @throws Error if an invalid year or a different calendar used. */\n    daysInYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay,\n            _exports.local.invalidYear || _exports.regionalOptions[''].invalidYear);\n        return (this.leapYear(date) ? 366 : 365);\n    },\n\n    /** Retrieve the day of the year for a date.\n        @memberof BaseCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The day of the year.\n        @throws Error if an invalid date or a different calendar used. */\n    dayOfYear: function(year, month, day) {\n        var date = this._validate(year, month, day,\n            _exports.local.invalidDate || _exports.regionalOptions[''].invalidDate);\n        return date.toJD() - this.newDate(date.year(),\n            this.fromMonthOfYear(date.year(), this.minMonth), this.minDay).toJD() + 1;\n    },\n\n    /** Retrieve the number of days in a week.\n        @memberof BaseCalendar\n        @return {number} The number of days. */\n    daysInWeek: function() {\n        return 7;\n    },\n\n    /** Retrieve the day of the week for a date.\n        @memberof BaseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The day of the week: 0 to number of days - 1.\n        @throws Error if an invalid date or a different calendar used. */\n    dayOfWeek: function(year, month, day) {\n        var date = this._validate(year, month, day,\n            _exports.local.invalidDate || _exports.regionalOptions[''].invalidDate);\n        return (Math.floor(this.toJD(date)) + 2) % this.daysInWeek();\n    },\n\n    /** Retrieve additional information about a date.\n        @memberof BaseCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {object} Additional information - contents depends on calendar.\n        @throws Error if an invalid date or a different calendar used. */\n    extraInfo: function(year, month, day) {\n        this._validate(year, month, day,\n            _exports.local.invalidDate || _exports.regionalOptions[''].invalidDate);\n        return {};\n    },\n\n    /** Add period(s) to a date.\n        Cater for no year zero.\n        @memberof BaseCalendar\n        @param date {CDate} The starting date.\n        @param offset {number} The number of periods to adjust by.\n        @param period {string} One of 'y' for year, 'm' for month, 'w' for week, 'd' for day.\n        @return {CDate} The updated date.\n        @throws Error if a different calendar used. */\n    add: function(date, offset, period) {\n        this._validate(date, this.minMonth, this.minDay,\n            _exports.local.invalidDate || _exports.regionalOptions[''].invalidDate);\n        return this._correctAdd(date, this._add(date, offset, period), offset, period);\n    },\n\n    /** Add period(s) to a date.\n        @memberof BaseCalendar\n        @private\n        @param date {CDate} The starting date.\n        @param offset {number} The number of periods to adjust by.\n        @param period {string} One of 'y' for year, 'm' for month, 'w' for week, 'd' for day.\n        @return {CDate} The updated date. */\n    _add: function(date, offset, period) {\n        this._validateLevel++;\n        if (period === 'd' || period === 'w') {\n            var jd = date.toJD() + offset * (period === 'w' ? this.daysInWeek() : 1);\n            var d = date.calendar().fromJD(jd);\n            this._validateLevel--;\n            return [d.year(), d.month(), d.day()];\n        }\n        try {\n            var y = date.year() + (period === 'y' ? offset : 0);\n            var m = date.monthOfYear() + (period === 'm' ? offset : 0);\n            var d = date.day();// + (period === 'd' ? offset : 0) +\n                //(period === 'w' ? offset * this.daysInWeek() : 0);\n            var resyncYearMonth = function(calendar) {\n                while (m < calendar.minMonth) {\n                    y--;\n                    m += calendar.monthsInYear(y);\n                }\n                var yearMonths = calendar.monthsInYear(y);\n                while (m > yearMonths - 1 + calendar.minMonth) {\n                    y++;\n                    m -= yearMonths;\n                    yearMonths = calendar.monthsInYear(y);\n                }\n            };\n            if (period === 'y') {\n                if (date.month() !== this.fromMonthOfYear(y, m)) { // Hebrew\n                    m = this.newDate(y, date.month(), this.minDay).monthOfYear();\n                }\n                m = Math.min(m, this.monthsInYear(y));\n                d = Math.min(d, this.daysInMonth(y, this.fromMonthOfYear(y, m)));\n            }\n            else if (period === 'm') {\n                resyncYearMonth(this);\n                d = Math.min(d, this.daysInMonth(y, this.fromMonthOfYear(y, m)));\n            }\n            var ymd = [y, this.fromMonthOfYear(y, m), d];\n            this._validateLevel--;\n            return ymd;\n        }\n        catch (e) {\n            this._validateLevel--;\n            throw e;\n        }\n    },\n\n    /** Correct a candidate date after adding period(s) to a date.\n        Handle no year zero if necessary.\n        @memberof BaseCalendar\n        @private\n        @param date {CDate} The starting date.\n        @param ymd {number[]} The added date.\n        @param offset {number} The number of periods to adjust by.\n        @param period {string} One of 'y' for year, 'm' for month, 'w' for week, 'd' for day.\n        @return {CDate} The updated date. */\n    _correctAdd: function(date, ymd, offset, period) {\n        if (!this.hasYearZero && (period === 'y' || period === 'm')) {\n            if (ymd[0] === 0 || // In year zero\n                    (date.year() > 0) !== (ymd[0] > 0)) { // Crossed year zero\n                var adj = {y: [1, 1, 'y'], m: [1, this.monthsInYear(-1), 'm'],\n                    w: [this.daysInWeek(), this.daysInYear(-1), 'd'],\n                    d: [1, this.daysInYear(-1), 'd']}[period];\n                var dir = (offset < 0 ? -1 : +1);\n                ymd = this._add(date, offset * adj[0] + dir * adj[1], adj[2]);\n            }\n        }\n        return date.date(ymd[0], ymd[1], ymd[2]);\n    },\n\n    /** Set a portion of the date.\n        @memberof BaseCalendar\n        @param date {CDate} The starting date.\n        @param value {number} The new value for the period.\n        @param period {string} One of 'y' for year, 'm' for month, 'd' for day.\n        @return {CDate} The updated date.\n        @throws Error if an invalid date or a different calendar used. */\n    set: function(date, value, period) {\n        this._validate(date, this.minMonth, this.minDay,\n            _exports.local.invalidDate || _exports.regionalOptions[''].invalidDate);\n        var y = (period === 'y' ? value : date.year());\n        var m = (period === 'm' ? value : date.month());\n        var d = (period === 'd' ? value : date.day());\n        if (period === 'y' || period === 'm') {\n            d = Math.min(d, this.daysInMonth(y, m));\n        }\n        return date.date(y, m, d);\n    },\n\n    /** Determine whether a date is valid for this calendar.\n        @memberof BaseCalendar\n        @param year {number} The year to examine.\n        @param month {number} The month to examine.\n        @param day {number} The day to examine.\n        @return {boolean} <code>true</code> if a valid date, <code>false</code> if not. */\n    isValid: function(year, month, day) {\n        this._validateLevel++;\n        var valid = (this.hasYearZero || year !== 0);\n        if (valid) {\n            var date = this.newDate(year, month, this.minDay);\n            valid = (month >= this.minMonth && month - this.minMonth < this.monthsInYear(date)) &&\n                (day >= this.minDay && day - this.minDay < this.daysInMonth(date));\n        }\n        this._validateLevel--;\n        return valid;\n    },\n\n    /** Convert the date to a standard (Gregorian) JavaScript Date.\n        @memberof BaseCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {Date} The equivalent JavaScript date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJSDate: function(year, month, day) {\n        var date = this._validate(year, month, day,\n            _exports.local.invalidDate || _exports.regionalOptions[''].invalidDate);\n        return _exports.instance().fromJD(this.toJD(date)).toJSDate();\n    },\n\n    /** Convert the date from a standard (Gregorian) JavaScript Date.\n        @memberof BaseCalendar\n        @param jsd {Date} The JavaScript date.\n        @return {CDate} The equivalent calendar date. */\n    fromJSDate: function(jsd) {\n        return this.fromJD(_exports.instance().fromJSDate(jsd).toJD());\n    },\n\n    /** Check that a candidate date is from the same calendar and is valid.\n        @memberof BaseCalendar\n        @private\n        @param year {CDate|number} The date to validate or the year to validate.\n        @param [month] {number} The month to validate.\n        @param [day] {number} The day to validate.\n        @param error {string} Rrror message if invalid.\n        @throws Error if different calendars used or invalid date. */\n    _validate: function(year, month, day, error) {\n        if (year.year) {\n            if (this._validateLevel === 0 && this.name !== year.calendar().name) {\n                throw (_exports.local.differentCalendars || _exports.regionalOptions[''].differentCalendars).\n                    replace(/\\{0\\}/, this.local.name).replace(/\\{1\\}/, year.calendar().local.name);\n            }\n            return year;\n        }\n        try {\n            this._validateLevel++;\n            if (this._validateLevel === 1 && !this.isValid(year, month, day)) {\n                throw error.replace(/\\{0\\}/, this.local.name);\n            }\n            var date = this.newDate(year, month, day);\n            this._validateLevel--;\n            return date;\n        }\n        catch (e) {\n            this._validateLevel--;\n            throw e;\n        }\n    }\n});\n\n/** Implementation of the Proleptic Gregorian Calendar.\n    See <a href=\":http://en.wikipedia.org/wiki/Gregorian_calendar\">http://en.wikipedia.org/wiki/Gregorian_calendar</a>\n    and <a href=\"http://en.wikipedia.org/wiki/Proleptic_Gregorian_calendar\">http://en.wikipedia.org/wiki/Proleptic_Gregorian_calendar</a>.\n    @class GregorianCalendar\n    @augments BaseCalendar\n    @param [language=''] {string} The language code (default English) for localisation. */\nfunction GregorianCalendar(language) {\n    this.local = this.regionalOptions[language] || this.regionalOptions[''];\n}\n\nGregorianCalendar.prototype = new BaseCalendar;\n\nassign(GregorianCalendar.prototype, {\n    /** The calendar name.\n        @memberof GregorianCalendar */\n    name: 'Gregorian',\n     /** Julian date of start of Gregorian epoch: 1 January 0001 CE.\n        @memberof GregorianCalendar */\n    jdEpoch: 1721425.5,\n     /** Days per month in a common year.\n        @memberof GregorianCalendar */\n    daysPerMonth: [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31],\n     /** <code>true</code> if has a year zero, <code>false</code> if not.\n        @memberof GregorianCalendar */\n    hasYearZero: false,\n    /** The minimum month number.\n        @memberof GregorianCalendar */\n    minMonth: 1,\n    /** The first month in the year.\n        @memberof GregorianCalendar */\n    firstMonth: 1,\n     /** The minimum day number.\n        @memberof GregorianCalendar */\n    minDay: 1,\n\n    /** Localisations for the plugin.\n        Entries are objects indexed by the language code ('' being the default US/English).\n        Each object has the following attributes.\n        @memberof GregorianCalendar\n        @property name {string} The calendar name.\n        @property epochs {string[]} The epoch names.\n        @property monthNames {string[]} The long names of the months of the year.\n        @property monthNamesShort {string[]} The short names of the months of the year.\n        @property dayNames {string[]} The long names of the days of the week.\n        @property dayNamesShort {string[]} The short names of the days of the week.\n        @property dayNamesMin {string[]} The minimal names of the days of the week.\n        @property dateFormat {string} The date format for this calendar.\n                See the options on <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a> for details.\n        @property firstDay {number} The number of the first day of the week, starting at 0.\n        @property isRTL {number} <code>true</code> if this localisation reads right-to-left. */\n    regionalOptions: { // Localisations\n        '': {\n            name: 'Gregorian',\n            epochs: ['BCE', 'CE'],\n            monthNames: ['January', 'February', 'March', 'April', 'May', 'June',\n            'July', 'August', 'September', 'October', 'November', 'December'],\n            monthNamesShort: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],\n            dayNames: ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'],\n            dayNamesShort: ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],\n            dayNamesMin: ['Su', 'Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa'],\n            digits: null,\n            dateFormat: 'mm/dd/yyyy',\n            firstDay: 0,\n            isRTL: false\n        }\n    },\n    \n    /** Determine whether this date is in a leap year.\n        @memberof GregorianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @return {boolean} <code>true</code> if this is a leap year, <code>false</code> if not.\n        @throws Error if an invalid year or a different calendar used. */\n    leapYear: function(year) {\n        var date = this._validate(year, this.minMonth, this.minDay,\n            _exports.local.invalidYear || _exports.regionalOptions[''].invalidYear);\n        var year = date.year() + (date.year() < 0 ? 1 : 0); // No year zero\n        return year % 4 === 0 && (year % 100 !== 0 || year % 400 === 0);\n    },\n\n    /** Determine the week of the year for a date - ISO 8601.\n        @memberof GregorianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {number} The week of the year, starting from 1.\n        @throws Error if an invalid date or a different calendar used. */\n    weekOfYear: function(year, month, day) {\n        // Find Thursday of this week starting on Monday\n        var checkDate = this.newDate(year, month, day);\n        checkDate.add(4 - (checkDate.dayOfWeek() || 7), 'd');\n        return Math.floor((checkDate.dayOfYear() - 1) / 7) + 1;\n    },\n\n    /** Retrieve the number of days in a month.\n        @memberof GregorianCalendar\n        @param year {CDate|number} The date to examine or the year of the month.\n        @param [month] {number} The month.\n        @return {number} The number of days in this month.\n        @throws Error if an invalid month/year or a different calendar used. */\n    daysInMonth: function(year, month) {\n        var date = this._validate(year, month, this.minDay,\n            _exports.local.invalidMonth || _exports.regionalOptions[''].invalidMonth);\n        return this.daysPerMonth[date.month() - 1] +\n            (date.month() === 2 && this.leapYear(date.year()) ? 1 : 0);\n    },\n\n    /** Determine whether this date is a week day.\n        @memberof GregorianCalendar\n        @param year {CDate|number} The date to examine or the year to examine.\n        @param [month] {number} The month to examine.\n        @param [day] {number} The day to examine.\n        @return {boolean} <code>true</code> if a week day, <code>false</code> if not.\n        @throws Error if an invalid date or a different calendar used. */\n    weekDay: function(year, month, day) {\n        return (this.dayOfWeek(year, month, day) || 7) < 6;\n    },\n\n    /** Retrieve the Julian date equivalent for this date,\n        i.e. days since January 1, 4713 BCE Greenwich noon.\n        @memberof GregorianCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {number} The equivalent Julian date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJD: function(year, month, day) {\n        var date = this._validate(year, month, day,\n            _exports.local.invalidDate || _exports.regionalOptions[''].invalidDate);\n        year = date.year();\n        month = date.month();\n        day = date.day();\n        if (year < 0) { year++; } // No year zero\n        // Jean Meeus algorithm, \"Astronomical Algorithms\", 1991\n        if (month < 3) {\n            month += 12;\n            year--;\n        }\n        var a = Math.floor(year / 100);\n        var b = 2 - a + Math.floor(a / 4);\n        return Math.floor(365.25 * (year + 4716)) +\n            Math.floor(30.6001 * (month + 1)) + day + b - 1524.5;\n    },\n\n    /** Create a new date from a Julian date.\n        @memberof GregorianCalendar\n        @param jd {number} The Julian date to convert.\n        @return {CDate} The equivalent date. */\n    fromJD: function(jd) {\n        // Jean Meeus algorithm, \"Astronomical Algorithms\", 1991\n        var z = Math.floor(jd + 0.5);\n        var a = Math.floor((z - 1867216.25) / 36524.25);\n        a = z + 1 + a - Math.floor(a / 4);\n        var b = a + 1524;\n        var c = Math.floor((b - 122.1) / 365.25);\n        var d = Math.floor(365.25 * c);\n        var e = Math.floor((b - d) / 30.6001);\n        var day = b - d - Math.floor(e * 30.6001);\n        var month = e - (e > 13.5 ? 13 : 1);\n        var year = c - (month > 2.5 ? 4716 : 4715);\n        if (year <= 0) { year--; } // No year zero\n        return this.newDate(year, month, day);\n    },\n\n    /** Convert this date to a standard (Gregorian) JavaScript Date.\n        @memberof GregorianCalendar\n        @param year {CDate|number} The date to convert or the year to convert.\n        @param [month] {number} The month to convert.\n        @param [day] {number} The day to convert.\n        @return {Date} The equivalent JavaScript date.\n        @throws Error if an invalid date or a different calendar used. */\n    toJSDate: function(year, month, day) {\n        var date = this._validate(year, month, day,\n            _exports.local.invalidDate || _exports.regionalOptions[''].invalidDate);\n        var jsd = new Date(date.year(), date.month() - 1, date.day());\n        jsd.setHours(0);\n        jsd.setMinutes(0);\n        jsd.setSeconds(0);\n        jsd.setMilliseconds(0);\n        // Hours may be non-zero on daylight saving cut-over:\n        // > 12 when midnight changeover, but then cannot generate\n        // midnight datetime, so jump to 1AM, otherwise reset.\n        jsd.setHours(jsd.getHours() > 12 ? jsd.getHours() + 2 : 0);\n        return jsd;\n    },\n\n    /** Create a new date from a standard (Gregorian) JavaScript Date.\n        @memberof GregorianCalendar\n        @param jsd {Date} The JavaScript date to convert.\n        @return {CDate} The equivalent date. */\n    fromJSDate: function(jsd) {\n        return this.newDate(jsd.getFullYear(), jsd.getMonth() + 1, jsd.getDate());\n    }\n});\n\n// Singleton manager\nvar _exports = module.exports = new Calendars();\n\n// Date template\n_exports.cdate = CDate;\n\n// Base calendar template\n_exports.baseCalendar = BaseCalendar;\n\n// Gregorian calendar implementation\n_exports.calendars.gregorian = GregorianCalendar;\n\n\n},{\"object-assign\":437}],549:[function(_dereq_,module,exports){\n/*\n * World Calendars\n * https://github.com/alexcjohnson/world-calendars\n *\n * Batch-converted from kbwood/calendars\n * Many thanks to Keith Wood and all of the contributors to the original project!\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n/* http://keith-wood.name/calendars.html\n   Calendars extras for jQuery v2.0.2.\n   Written by Keith Wood (wood.keith{at}optusnet.com.au) August 2009.\n   Available under the MIT (http://keith-wood.name/licence.html) license. \n   Please attribute the author if you use it. */\n\nvar assign = _dereq_('object-assign');\nvar main = _dereq_('./main');\n\n\nassign(main.regionalOptions[''], {\n    invalidArguments: 'Invalid arguments',\n    invalidFormat: 'Cannot format a date from another calendar',\n    missingNumberAt: 'Missing number at position {0}',\n    unknownNameAt: 'Unknown name at position {0}',\n    unexpectedLiteralAt: 'Unexpected literal at position {0}',\n    unexpectedText: 'Additional text found at end'\n});\nmain.local = main.regionalOptions[''];\n\nassign(main.cdate.prototype, {\n\n    /** Format this date.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof CDate\n        @param [format] {string} The date format to use (see <a href=\"BaseCalendar.html#formatDate\"><code>formatDate</code></a>).\n        @param [settings] {object} Options for the <code>formatDate</code> function.\n        @return {string} The formatted date. */\n    formatDate: function(format, settings) {\n        if (typeof format !== 'string') {\n            settings = format;\n            format = '';\n        }\n        return this._calendar.formatDate(format || '', this, settings);\n    }\n});\n\nassign(main.baseCalendar.prototype, {\n\n    UNIX_EPOCH: main.instance().newDate(1970, 1, 1).toJD(),\n    SECS_PER_DAY: 24 * 60 * 60,\n    TICKS_EPOCH: main.instance().jdEpoch, // 1 January 0001 CE\n    TICKS_PER_DAY: 24 * 60 * 60 * 10000000,\n\n    /** Date form for ATOM (RFC 3339/ISO 8601).\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    ATOM: 'yyyy-mm-dd',\n    /** Date form for cookies.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    COOKIE: 'D, dd M yyyy',\n    /** Date form for full date.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    FULL: 'DD, MM d, yyyy',\n    /** Date form for ISO 8601.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    ISO_8601: 'yyyy-mm-dd',\n    /** Date form for Julian date.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    JULIAN: 'J',\n    /** Date form for RFC 822.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    RFC_822: 'D, d M yy',\n    /** Date form for RFC 850.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    RFC_850: 'DD, dd-M-yy',\n    /** Date form for RFC 1036.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    RFC_1036: 'D, d M yy',\n    /** Date form for RFC 1123.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    RFC_1123: 'D, d M yyyy',\n    /** Date form for RFC 2822.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    RFC_2822: 'D, d M yyyy',\n    /** Date form for RSS (RFC 822).\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    RSS: 'D, d M yy',\n    /** Date form for Windows ticks.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    TICKS: '!',\n    /** Date form for Unix timestamp.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    TIMESTAMP: '@',\n    /** Date form for W3c (ISO 8601).\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar */\n    W3C: 'yyyy-mm-dd',\n\n    /** Format a date object into a string value.\n        The format can be combinations of the following:\n        <ul>\n        <li>d  - day of month (no leading zero)</li>\n        <li>dd - day of month (two digit)</li>\n        <li>o  - day of year (no leading zeros)</li>\n        <li>oo - day of year (three digit)</li>\n        <li>D  - day name short</li>\n        <li>DD - day name long</li>\n        <li>w  - week of year (no leading zero)</li>\n        <li>ww - week of year (two digit)</li>\n        <li>m  - month of year (no leading zero)</li>\n        <li>mm - month of year (two digit)</li>\n        <li>M  - month name short</li>\n        <li>MM - month name long</li>\n        <li>yy - year (two digit)</li>\n        <li>yyyy - year (four digit)</li>\n        <li>YYYY - formatted year</li>\n        <li>J  - Julian date (days since January 1, 4713 BCE Greenwich noon)</li>\n        <li>@  - Unix timestamp (s since 01/01/1970)</li>\n        <li>!  - Windows ticks (100ns since 01/01/0001)</li>\n        <li>'...' - literal text</li>\n        <li>'' - single quote</li>\n        </ul>\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar\n        @param [format] {string} The desired format of the date (defaults to calendar format).\n        @param date {CDate} The date value to format.\n        @param [settings] {object} Addition options, whose attributes include:\n        @property [dayNamesShort] {string[]} Abbreviated names of the days from Sunday.\n        @property [dayNames] {string[]} Names of the days from Sunday.\n        @property [monthNamesShort] {string[]} Abbreviated names of the months.\n        @property [monthNames] {string[]} Names of the months.\n        @property [calculateWeek] {CalendarsPickerCalculateWeek} Function that determines week of the year.\n        @property [localNumbers=false] {boolean} <code>true</code> to localise numbers (if available),\n                  <code>false</code> to use normal Arabic numerals.\n        @return {string} The date in the above format.\n        @throws Errors if the date is from a different calendar. */\n    formatDate: function(format, date, settings) {\n        if (typeof format !== 'string') {\n            settings = date;\n            date = format;\n            format = '';\n        }\n        if (!date) {\n            return '';\n        }\n        if (date.calendar() !== this) {\n            throw main.local.invalidFormat || main.regionalOptions[''].invalidFormat;\n        }\n        format = format || this.local.dateFormat;\n        settings = settings || {};\n        var dayNamesShort = settings.dayNamesShort || this.local.dayNamesShort;\n        var dayNames = settings.dayNames || this.local.dayNames;\n        var monthNumbers = settings.monthNumbers || this.local.monthNumbers;\n        var monthNamesShort = settings.monthNamesShort || this.local.monthNamesShort;\n        var monthNames = settings.monthNames || this.local.monthNames;\n        var calculateWeek = settings.calculateWeek || this.local.calculateWeek;\n        // Check whether a format character is doubled\n        var doubled = function(match, step) {\n            var matches = 1;\n            while (iFormat + matches < format.length && format.charAt(iFormat + matches) === match) {\n                matches++;\n            }\n            iFormat += matches - 1;\n            return Math.floor(matches / (step || 1)) > 1;\n        };\n        // Format a number, with leading zeroes if necessary\n        var formatNumber = function(match, value, len, step) {\n            var num = '' + value;\n            if (doubled(match, step)) {\n                while (num.length < len) {\n                    num = '0' + num;\n                }\n            }\n            return num;\n        };\n        // Format a name, short or long as requested\n        var formatName = function(match, value, shortNames, longNames) {\n            return (doubled(match) ? longNames[value] : shortNames[value]);\n        };\n        // Format month number\n        // (e.g. Chinese calendar needs to account for intercalary months)\n        var calendar = this;\n        var formatMonth = function(date) {\n            return (typeof monthNumbers === 'function') ?\n                monthNumbers.call(calendar, date, doubled('m')) :\n                localiseNumbers(formatNumber('m', date.month(), 2));\n        };\n        // Format a month name, short or long as requested\n        var formatMonthName = function(date, useLongName) {\n            if (useLongName) {\n                return (typeof monthNames === 'function') ?\n                    monthNames.call(calendar, date) :\n                    monthNames[date.month() - calendar.minMonth];\n            } else {\n                return (typeof monthNamesShort === 'function') ?\n                    monthNamesShort.call(calendar, date) :\n                    monthNamesShort[date.month() - calendar.minMonth];\n            }\n        };\n        // Localise numbers if requested and available\n        var digits = this.local.digits;\n        var localiseNumbers = function(value) {\n            return (settings.localNumbers && digits ? digits(value) : value);\n        };\n        var output = '';\n        var literal = false;\n        for (var iFormat = 0; iFormat < format.length; iFormat++) {\n            if (literal) {\n                if (format.charAt(iFormat) === \"'\" && !doubled(\"'\")) {\n                    literal = false;\n                }\n                else {\n                    output += format.charAt(iFormat);\n                }\n            }\n            else {\n                switch (format.charAt(iFormat)) {\n                    case 'd': output += localiseNumbers(formatNumber('d', date.day(), 2)); break;\n                    case 'D': output += formatName('D', date.dayOfWeek(),\n                        dayNamesShort, dayNames); break;\n                    case 'o': output += formatNumber('o', date.dayOfYear(), 3); break;\n                    case 'w': output += formatNumber('w', date.weekOfYear(), 2); break;\n                    case 'm': output += formatMonth(date); break;\n                    case 'M': output += formatMonthName(date, doubled('M')); break;\n                    case 'y':\n                        output += (doubled('y', 2) ? date.year() :\n                            (date.year() % 100 < 10 ? '0' : '') + date.year() % 100);\n                        break;\n                    case 'Y':\n                        doubled('Y', 2);\n                        output += date.formatYear();\n                        break;\n                    case 'J': output += date.toJD(); break;\n                    case '@': output += (date.toJD() - this.UNIX_EPOCH) * this.SECS_PER_DAY; break;\n                    case '!': output += (date.toJD() - this.TICKS_EPOCH) * this.TICKS_PER_DAY; break;\n                    case \"'\":\n                        if (doubled(\"'\")) {\n                            output += \"'\";\n                        }\n                        else {\n                            literal = true;\n                        }\n                        break;\n                    default:\n                        output += format.charAt(iFormat);\n                }\n            }\n        }\n        return output;\n    },\n\n    /** Parse a string value into a date object.\n        See <a href=\"#formatDate\"><code>formatDate</code></a> for the possible formats, plus:\n        <ul>\n        <li>* - ignore rest of string</li>\n        </ul>\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar\n        @param format {string} The expected format of the date ('' for default calendar format).\n        @param value {string} The date in the above format.\n        @param [settings] {object} Additional options whose attributes include:\n        @property [shortYearCutoff] {number} The cutoff year for determining the century.\n        @property [dayNamesShort] {string[]} Abbreviated names of the days from Sunday.\n        @property [dayNames] {string[]} Names of the days from Sunday.\n        @property [monthNamesShort] {string[]} Abbreviated names of the months.\n        @property [monthNames] {string[]} Names of the months.\n        @return {CDate} The extracted date value or <code>null</code> if value is blank.\n        @throws Errors if the format and/or value are missing,\n                if the value doesn't match the format, or if the date is invalid. */\n    parseDate: function(format, value, settings) {\n        if (value == null) {\n            throw main.local.invalidArguments || main.regionalOptions[''].invalidArguments;\n        }\n        value = (typeof value === 'object' ? value.toString() : value + '');\n        if (value === '') {\n            return null;\n        }\n        format = format || this.local.dateFormat;\n        settings = settings || {};\n        var shortYearCutoff = settings.shortYearCutoff || this.shortYearCutoff;\n        shortYearCutoff = (typeof shortYearCutoff !== 'string' ? shortYearCutoff :\n            this.today().year() % 100 + parseInt(shortYearCutoff, 10));\n        var dayNamesShort = settings.dayNamesShort || this.local.dayNamesShort;\n        var dayNames = settings.dayNames || this.local.dayNames;\n        var parseMonth = settings.parseMonth || this.local.parseMonth;\n        var monthNumbers = settings.monthNumbers || this.local.monthNumbers;\n        var monthNamesShort = settings.monthNamesShort || this.local.monthNamesShort;\n        var monthNames = settings.monthNames || this.local.monthNames;\n        var jd = -1;\n        var year = -1;\n        var month = -1;\n        var day = -1;\n        var doy = -1;\n        var shortYear = false;\n        var literal = false;\n        // Check whether a format character is doubled\n        var doubled = function(match, step) {\n            var matches = 1;\n            while (iFormat + matches < format.length && format.charAt(iFormat + matches) === match) {\n                matches++;\n            }\n            iFormat += matches - 1;\n            return Math.floor(matches / (step || 1)) > 1;\n        };\n        // Extract a number from the string value\n        var getNumber = function(match, step) {\n            var isDoubled = doubled(match, step);\n            var size = [2, 3, isDoubled ? 4 : 2, isDoubled ? 4 : 2, 10, 11, 20]['oyYJ@!'.indexOf(match) + 1];\n            var digits = new RegExp('^-?\\\\d{1,' + size + '}');\n            var num = value.substring(iValue).match(digits);\n            if (!num) {\n                throw (main.local.missingNumberAt || main.regionalOptions[''].missingNumberAt).\n                    replace(/\\{0\\}/, iValue);\n            }\n            iValue += num[0].length;\n            return parseInt(num[0], 10);\n        };\n        // Extract a month number from the string value\n        var calendar = this;\n        var getMonthNumber = function() {\n            if (typeof monthNumbers === 'function') {\n                doubled('m');  // update iFormat\n                var month = monthNumbers.call(calendar, value.substring(iValue));\n                iValue += month.length;\n                return month;\n            }\n\n            return getNumber('m');\n        };\n        // Extract a name from the string value and convert to an index\n        var getName = function(match, shortNames, longNames, step) {\n            var names = (doubled(match, step) ? longNames : shortNames);\n            for (var i = 0; i < names.length; i++) {\n                if (value.substr(iValue, names[i].length).toLowerCase() === names[i].toLowerCase()) {\n                    iValue += names[i].length;\n                    return i + calendar.minMonth;\n                }\n            }\n            throw (main.local.unknownNameAt || main.regionalOptions[''].unknownNameAt).\n                replace(/\\{0\\}/, iValue);\n        };\n        // Extract a month number from the string value\n        var getMonthName = function() {\n            if (typeof monthNames === 'function') {\n                var month = doubled('M') ?\n                    monthNames.call(calendar, value.substring(iValue)) :\n                    monthNamesShort.call(calendar, value.substring(iValue));\n                iValue += month.length;\n                return month;\n            }\n\n            return getName('M', monthNamesShort, monthNames);\n        };\n        // Confirm that a literal character matches the string value\n        var checkLiteral = function() {\n            if (value.charAt(iValue) !== format.charAt(iFormat)) {\n                throw (main.local.unexpectedLiteralAt ||\n                    main.regionalOptions[''].unexpectedLiteralAt).replace(/\\{0\\}/, iValue);\n            }\n            iValue++;\n        };\n        var iValue = 0;\n        for (var iFormat = 0; iFormat < format.length; iFormat++) {\n            if (literal) {\n                if (format.charAt(iFormat) === \"'\" && !doubled(\"'\")) {\n                    literal = false;\n                }\n                else {\n                    checkLiteral();\n                }\n            }\n            else {\n                switch (format.charAt(iFormat)) {\n                    case 'd': day = getNumber('d'); break;\n                    case 'D': getName('D', dayNamesShort, dayNames); break;\n                    case 'o': doy = getNumber('o'); break;\n                    case 'w': getNumber('w'); break;\n                    case 'm': month = getMonthNumber(); break;\n                    case 'M': month = getMonthName(); break;\n                    case 'y':\n                        var iSave = iFormat;\n                        shortYear = !doubled('y', 2);\n                        iFormat = iSave;\n                        year = getNumber('y', 2);\n                        break;\n                    case 'Y': year = getNumber('Y', 2); break;\n                    case 'J':\n                        jd = getNumber('J') + 0.5;\n                        if (value.charAt(iValue) === '.') {\n                            iValue++;\n                            getNumber('J');\n                        }\n                        break;\n                    case '@': jd = getNumber('@') / this.SECS_PER_DAY + this.UNIX_EPOCH; break;\n                    case '!': jd = getNumber('!') / this.TICKS_PER_DAY + this.TICKS_EPOCH; break;\n                    case '*': iValue = value.length; break;\n                    case \"'\":\n                        if (doubled(\"'\")) {\n                            checkLiteral();\n                        }\n                        else {\n                            literal = true;\n                        }\n                        break;\n                    default: checkLiteral();\n                }\n            }\n        }\n        if (iValue < value.length) {\n            throw main.local.unexpectedText || main.regionalOptions[''].unexpectedText;\n        }\n        if (year === -1) {\n            year = this.today().year();\n        }\n        else if (year < 100 && shortYear) {\n            year += (shortYearCutoff === -1 ? 1900 : this.today().year() -\n                this.today().year() % 100 - (year <= shortYearCutoff ? 0 : 100));\n        }\n        if (typeof month === 'string') {\n            month = parseMonth.call(this, year, month);\n        }\n        if (doy > -1) {\n            month = 1;\n            day = doy;\n            for (var dim = this.daysInMonth(year, month); day > dim; dim = this.daysInMonth(year, month)) {\n                month++;\n                day -= dim;\n            }\n        }\n        return (jd > -1 ? this.fromJD(jd) : this.newDate(year, month, day));\n    },\n\n    /** A date may be specified as an exact value or a relative one.\n        Found in the <code>jquery.calendars.plus.js</code> module.\n        @memberof BaseCalendar\n        @param dateSpec {CDate|number|string} The date as an object or string in the given format or\n                an offset - numeric days from today, or string amounts and periods, e.g. '+1m +2w'.\n        @param defaultDate {CDate} The date to use if no other supplied, may be <code>null</code>.\n        @param currentDate {CDate} The current date as a possible basis for relative dates,\n                if <code>null</code> today is used (optional)\n        @param [dateFormat] {string} The expected date format - see <a href=\"#formatDate\"><code>formatDate</code></a>.\n        @param [settings] {object} Additional options whose attributes include:\n        @property [shortYearCutoff] {number} The cutoff year for determining the century.\n        @property [dayNamesShort] {string[]} Abbreviated names of the days from Sunday.\n        @property [dayNames] {string[]} Names of the days from Sunday.\n        @property [monthNamesShort] {string[]} Abbreviated names of the months.\n        @property [monthNames] {string[]} Names of the months.\n        @return {CDate} The decoded date. */\n    determineDate: function(dateSpec, defaultDate, currentDate, dateFormat, settings) {\n        if (currentDate && typeof currentDate !== 'object') {\n            settings = dateFormat;\n            dateFormat = currentDate;\n            currentDate = null;\n        }\n        if (typeof dateFormat !== 'string') {\n            settings = dateFormat;\n            dateFormat = '';\n        }\n        var calendar = this;\n        var offsetString = function(offset) {\n            try {\n                return calendar.parseDate(dateFormat, offset, settings);\n            }\n            catch (e) {\n                // Ignore\n            }\n            offset = offset.toLowerCase();\n            var date = (offset.match(/^c/) && currentDate ?\n                currentDate.newDate() : null) || calendar.today();\n            var pattern = /([+-]?[0-9]+)\\s*(d|w|m|y)?/g;\n            var matches = pattern.exec(offset);\n            while (matches) {\n                date.add(parseInt(matches[1], 10), matches[2] || 'd');\n                matches = pattern.exec(offset);\n            }\n            return date;\n        };\n        defaultDate = (defaultDate ? defaultDate.newDate() : null);\n        dateSpec = (dateSpec == null ? defaultDate :\n            (typeof dateSpec === 'string' ? offsetString(dateSpec) : (typeof dateSpec === 'number' ?\n            (isNaN(dateSpec) || dateSpec === Infinity || dateSpec === -Infinity ? defaultDate :\n            calendar.today().add(dateSpec, 'd')) : calendar.newDate(dateSpec))));\n        return dateSpec;\n    }\n});\n\n\n},{\"./main\":548,\"object-assign\":437}],550:[function(_dereq_,module,exports){\nmodule.exports = _dereq_('cwise-compiler')({\n    args: ['array', {\n        offset: [1],\n        array: 0\n    }, 'scalar', 'scalar', 'index'],\n    pre: {\n        \"body\": \"{}\",\n        \"args\": [],\n        \"thisVars\": [],\n        \"localVars\": []\n    },\n    post: {\n        \"body\": \"{}\",\n        \"args\": [],\n        \"thisVars\": [],\n        \"localVars\": []\n    },\n    body: {\n        \"body\": \"{\\n        var _inline_1_da = _inline_1_arg0_ - _inline_1_arg3_\\n        var _inline_1_db = _inline_1_arg1_ - _inline_1_arg3_\\n        if((_inline_1_da >= 0) !== (_inline_1_db >= 0)) {\\n          _inline_1_arg2_.push(_inline_1_arg4_[0] + 0.5 + 0.5 * (_inline_1_da + _inline_1_db) / (_inline_1_da - _inline_1_db))\\n        }\\n      }\",\n        \"args\": [{\n            \"name\": \"_inline_1_arg0_\",\n            \"lvalue\": false,\n            \"rvalue\": true,\n            \"count\": 1\n        }, {\n            \"name\": \"_inline_1_arg1_\",\n            \"lvalue\": false,\n            \"rvalue\": true,\n            \"count\": 1\n        }, {\n            \"name\": \"_inline_1_arg2_\",\n            \"lvalue\": false,\n            \"rvalue\": true,\n            \"count\": 1\n        }, {\n            \"name\": \"_inline_1_arg3_\",\n            \"lvalue\": false,\n            \"rvalue\": true,\n            \"count\": 2\n        }, {\n            \"name\": \"_inline_1_arg4_\",\n            \"lvalue\": false,\n            \"rvalue\": true,\n            \"count\": 1\n        }],\n        \"thisVars\": [],\n        \"localVars\": [\"_inline_1_da\", \"_inline_1_db\"]\n    },\n    funcName: 'zeroCrossings'\n})\n\n},{\"cwise-compiler\":134}],551:[function(_dereq_,module,exports){\n\"use strict\"\n\nmodule.exports = findZeroCrossings\n\nvar core = _dereq_(\"./lib/zc-core\")\n\nfunction findZeroCrossings(array, level) {\n  var cross = []\n  level = +level || 0.0\n  core(array.hi(array.shape[0]-1), cross, level)\n  return cross\n}\n},{\"./lib/zc-core\":550}],552:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/**\n * All paths are tuned for maximum scalability of the arrowhead,\n * ie throughout arrowwidth=0.3..3 the head is joined smoothly\n * to the line, with the line coming from the left and ending at (0, 0).\n *\n * `backoff` is the distance to move the arrowhead and the end of the line,\n * in order that the arrowhead points to the desired place, either at\n * the tip of the arrow or (in the case of circle or square)\n * the center of the symbol.\n *\n * `noRotate`, if truthy, says that this arrowhead should not rotate with the\n * arrow. That's the case for squares, which should always be straight, and\n * circles, for which it's irrelevant.\n */\n\nmodule.exports = [\n    // no arrow\n    {\n        path: '',\n        backoff: 0\n    },\n    // wide with flat back\n    {\n        path: 'M-2.4,-3V3L0.6,0Z',\n        backoff: 0.6\n    },\n    // narrower with flat back\n    {\n        path: 'M-3.7,-2.5V2.5L1.3,0Z',\n        backoff: 1.3\n    },\n    // barbed\n    {\n        path: 'M-4.45,-3L-1.65,-0.2V0.2L-4.45,3L1.55,0Z',\n        backoff: 1.55\n    },\n    // wide line-drawn\n    {\n        path: 'M-2.2,-2.2L-0.2,-0.2V0.2L-2.2,2.2L-1.4,3L1.6,0L-1.4,-3Z',\n        backoff: 1.6\n    },\n    // narrower line-drawn\n    {\n        path: 'M-4.4,-2.1L-0.6,-0.2V0.2L-4.4,2.1L-4,3L2,0L-4,-3Z',\n        backoff: 2\n    },\n    // circle\n    {\n        path: 'M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z',\n        backoff: 0,\n        noRotate: true\n    },\n    // square\n    {\n        path: 'M2,2V-2H-2V2Z',\n        backoff: 0,\n        noRotate: true\n    }\n];\n\n},{}],553:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar ARROWPATHS = _dereq_('./arrow_paths');\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar cartesianConstants = _dereq_('../../plots/cartesian/constants');\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\n\n\nmodule.exports = templatedArray('annotation', {\n    visible: {\n        valType: 'boolean',\n        \n        dflt: true,\n        editType: 'calc+arraydraw',\n        \n    },\n\n    text: {\n        valType: 'string',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    textangle: {\n        valType: 'angle',\n        dflt: 0,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    font: fontAttrs({\n        editType: 'calc+arraydraw',\n        colorEditType: 'arraydraw',\n        \n    }),\n    width: {\n        valType: 'number',\n        min: 1,\n        dflt: null,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    height: {\n        valType: 'number',\n        min: 1,\n        dflt: null,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    opacity: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        dflt: 1,\n        \n        editType: 'arraydraw',\n        \n    },\n    align: {\n        valType: 'enumerated',\n        values: ['left', 'center', 'right'],\n        dflt: 'center',\n        \n        editType: 'arraydraw',\n        \n    },\n    valign: {\n        valType: 'enumerated',\n        values: ['top', 'middle', 'bottom'],\n        dflt: 'middle',\n        \n        editType: 'arraydraw',\n        \n    },\n    bgcolor: {\n        valType: 'color',\n        dflt: 'rgba(0,0,0,0)',\n        \n        editType: 'arraydraw',\n        \n    },\n    bordercolor: {\n        valType: 'color',\n        dflt: 'rgba(0,0,0,0)',\n        \n        editType: 'arraydraw',\n        \n    },\n    borderpad: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    borderwidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    // arrow\n    showarrow: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    arrowcolor: {\n        valType: 'color',\n        \n        editType: 'arraydraw',\n        \n    },\n    arrowhead: {\n        valType: 'integer',\n        min: 0,\n        max: ARROWPATHS.length,\n        dflt: 1,\n        \n        editType: 'arraydraw',\n        \n    },\n    startarrowhead: {\n        valType: 'integer',\n        min: 0,\n        max: ARROWPATHS.length,\n        dflt: 1,\n        \n        editType: 'arraydraw',\n        \n    },\n    arrowside: {\n        valType: 'flaglist',\n        flags: ['end', 'start'],\n        extras: ['none'],\n        dflt: 'end',\n        \n        editType: 'arraydraw',\n        \n    },\n    arrowsize: {\n        valType: 'number',\n        min: 0.3,\n        dflt: 1,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    startarrowsize: {\n        valType: 'number',\n        min: 0.3,\n        dflt: 1,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    arrowwidth: {\n        valType: 'number',\n        min: 0.1,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    standoff: {\n        valType: 'number',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    startstandoff: {\n        valType: 'number',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    ax: {\n        valType: 'any',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    ay: {\n        valType: 'any',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    axref: {\n        valType: 'enumerated',\n        dflt: 'pixel',\n        values: [\n            'pixel',\n            cartesianConstants.idRegex.x.toString()\n        ],\n        \n        editType: 'calc',\n        \n    },\n    ayref: {\n        valType: 'enumerated',\n        dflt: 'pixel',\n        values: [\n            'pixel',\n            cartesianConstants.idRegex.y.toString()\n        ],\n        \n        editType: 'calc',\n        \n    },\n    // positioning\n    xref: {\n        valType: 'enumerated',\n        values: [\n            'paper',\n            cartesianConstants.idRegex.x.toString()\n        ],\n        \n        editType: 'calc',\n        \n    },\n    x: {\n        valType: 'any',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    xanchor: {\n        valType: 'enumerated',\n        values: ['auto', 'left', 'center', 'right'],\n        dflt: 'auto',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    xshift: {\n        valType: 'number',\n        dflt: 0,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    yref: {\n        valType: 'enumerated',\n        values: [\n            'paper',\n            cartesianConstants.idRegex.y.toString()\n        ],\n        \n        editType: 'calc',\n        \n    },\n    y: {\n        valType: 'any',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    yanchor: {\n        valType: 'enumerated',\n        values: ['auto', 'top', 'middle', 'bottom'],\n        dflt: 'auto',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    yshift: {\n        valType: 'number',\n        dflt: 0,\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    clicktoshow: {\n        valType: 'enumerated',\n        values: [false, 'onoff', 'onout'],\n        dflt: false,\n        \n        editType: 'arraydraw',\n        \n    },\n    xclick: {\n        valType: 'any',\n        \n        editType: 'arraydraw',\n        \n    },\n    yclick: {\n        valType: 'any',\n        \n        editType: 'arraydraw',\n        \n    },\n    hovertext: {\n        valType: 'string',\n        \n        editType: 'arraydraw',\n        \n    },\n    hoverlabel: {\n        bgcolor: {\n            valType: 'color',\n            \n            editType: 'arraydraw',\n            \n        },\n        bordercolor: {\n            valType: 'color',\n            \n            editType: 'arraydraw',\n            \n        },\n        font: fontAttrs({\n            editType: 'arraydraw',\n            \n        }),\n        editType: 'arraydraw'\n    },\n    captureevents: {\n        valType: 'boolean',\n        \n        editType: 'arraydraw',\n        \n    },\n    editType: 'calc',\n\n    _deprecated: {\n        ref: {\n            valType: 'string',\n            \n            editType: 'calc',\n            \n        }\n    }\n});\n\n},{\"../../plot_api/plot_template\":735,\"../../plots/cartesian/constants\":751,\"../../plots/font_attributes\":772,\"./arrow_paths\":552}],554:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nvar draw = _dereq_('./draw').draw;\n\n\nmodule.exports = function calcAutorange(gd) {\n    var fullLayout = gd._fullLayout;\n    var annotationList = Lib.filterVisible(fullLayout.annotations);\n\n    if(annotationList.length && gd._fullData.length) {\n        return Lib.syncOrAsync([draw, annAutorange], gd);\n    }\n};\n\nfunction annAutorange(gd) {\n    var fullLayout = gd._fullLayout;\n\n    // find the bounding boxes for each of these annotations'\n    // relative to their anchor points\n    // use the arrow and the text bg rectangle,\n    // as the whole anno may include hidden text in its bbox\n    Lib.filterVisible(fullLayout.annotations).forEach(function(ann) {\n        var xa = Axes.getFromId(gd, ann.xref);\n        var ya = Axes.getFromId(gd, ann.yref);\n\n        ann._extremes = {};\n        if(xa) calcAxisExpansion(ann, xa);\n        if(ya) calcAxisExpansion(ann, ya);\n    });\n}\n\nfunction calcAxisExpansion(ann, ax) {\n    var axId = ax._id;\n    var letter = axId.charAt(0);\n    var pos = ann[letter];\n    var apos = ann['a' + letter];\n    var ref = ann[letter + 'ref'];\n    var aref = ann['a' + letter + 'ref'];\n    var padplus = ann['_' + letter + 'padplus'];\n    var padminus = ann['_' + letter + 'padminus'];\n    var shift = {x: 1, y: -1}[letter] * ann[letter + 'shift'];\n    var headSize = 3 * ann.arrowsize * ann.arrowwidth || 0;\n    var headPlus = headSize + shift;\n    var headMinus = headSize - shift;\n    var startHeadSize = 3 * ann.startarrowsize * ann.arrowwidth || 0;\n    var startHeadPlus = startHeadSize + shift;\n    var startHeadMinus = startHeadSize - shift;\n    var extremes;\n\n    if(aref === ref) {\n        // expand for the arrowhead (padded by arrowhead)\n        var extremeArrowHead = Axes.findExtremes(ax, [ax.r2c(pos)], {\n            ppadplus: headPlus,\n            ppadminus: headMinus\n        });\n        // again for the textbox (padded by textbox)\n        var extremeText = Axes.findExtremes(ax, [ax.r2c(apos)], {\n            ppadplus: Math.max(padplus, startHeadPlus),\n            ppadminus: Math.max(padminus, startHeadMinus)\n        });\n        extremes = {\n            min: [extremeArrowHead.min[0], extremeText.min[0]],\n            max: [extremeArrowHead.max[0], extremeText.max[0]]\n        };\n    } else {\n        startHeadPlus = apos ? startHeadPlus + apos : startHeadPlus;\n        startHeadMinus = apos ? startHeadMinus - apos : startHeadMinus;\n        extremes = Axes.findExtremes(ax, [ax.r2c(pos)], {\n            ppadplus: Math.max(padplus, headPlus, startHeadPlus),\n            ppadminus: Math.max(padminus, headMinus, startHeadMinus)\n        });\n    }\n\n    ann._extremes[axId] = extremes;\n}\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"./draw\":559}],555:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Registry = _dereq_('../../registry');\nvar arrayEditor = _dereq_('../../plot_api/plot_template').arrayEditor;\n\nmodule.exports = {\n    hasClickToShow: hasClickToShow,\n    onClick: onClick\n};\n\n/*\n * hasClickToShow: does the given hoverData have ANY annotations which will\n * turn ON if we click here? (used by hover events to set cursor)\n *\n * gd: graphDiv\n * hoverData: a hoverData array, as included with the *plotly_hover* or\n *     *plotly_click* events in the `points` attribute\n *\n * returns: boolean\n */\nfunction hasClickToShow(gd, hoverData) {\n    var sets = getToggleSets(gd, hoverData);\n    return sets.on.length > 0 || sets.explicitOff.length > 0;\n}\n\n/*\n * onClick: perform the toggling (via Plotly.update) implied by clicking\n * at this hoverData\n *\n * gd: graphDiv\n * hoverData: a hoverData array, as included with the *plotly_hover* or\n *     *plotly_click* events in the `points` attribute\n *\n * returns: Promise that the update is complete\n */\nfunction onClick(gd, hoverData) {\n    var toggleSets = getToggleSets(gd, hoverData);\n    var onSet = toggleSets.on;\n    var offSet = toggleSets.off.concat(toggleSets.explicitOff);\n    var update = {};\n    var annotationsOut = gd._fullLayout.annotations;\n    var i, editHelpers;\n\n    if(!(onSet.length || offSet.length)) return;\n\n    for(i = 0; i < onSet.length; i++) {\n        editHelpers = arrayEditor(gd.layout, 'annotations', annotationsOut[onSet[i]]);\n        editHelpers.modifyItem('visible', true);\n        Lib.extendFlat(update, editHelpers.getUpdateObj());\n    }\n\n    for(i = 0; i < offSet.length; i++) {\n        editHelpers = arrayEditor(gd.layout, 'annotations', annotationsOut[offSet[i]]);\n        editHelpers.modifyItem('visible', false);\n        Lib.extendFlat(update, editHelpers.getUpdateObj());\n    }\n\n    return Registry.call('update', gd, {}, update);\n}\n\n/*\n * getToggleSets: find the annotations which will turn on or off at this\n * hoverData\n *\n * gd: graphDiv\n * hoverData: a hoverData array, as included with the *plotly_hover* or\n *     *plotly_click* events in the `points` attribute\n *\n * returns: {\n *   on: Array (indices of annotations to turn on),\n *   off: Array (indices to turn off because you're not hovering on them),\n *   explicitOff: Array (indices to turn off because you *are* hovering on them)\n * }\n */\nfunction getToggleSets(gd, hoverData) {\n    var annotations = gd._fullLayout.annotations,\n        onSet = [],\n        offSet = [],\n        explicitOffSet = [],\n        hoverLen = (hoverData || []).length;\n\n    var i, j, anni, showMode, pointj, xa, ya, toggleType;\n\n    for(i = 0; i < annotations.length; i++) {\n        anni = annotations[i];\n        showMode = anni.clicktoshow;\n\n        if(showMode) {\n            for(j = 0; j < hoverLen; j++) {\n                pointj = hoverData[j];\n                xa = pointj.xaxis;\n                ya = pointj.yaxis;\n\n                if(xa._id === anni.xref &&\n                    ya._id === anni.yref &&\n                    xa.d2r(pointj.x) === clickData2r(anni._xclick, xa) &&\n                    ya.d2r(pointj.y) === clickData2r(anni._yclick, ya)\n                ) {\n                    // match! toggle this annotation\n                    // regardless of its clicktoshow mode\n                    // but if it's onout mode, off is implicit\n                    if(anni.visible) {\n                        if(showMode === 'onout') toggleType = offSet;\n                        else toggleType = explicitOffSet;\n                    }\n                    else {\n                        toggleType = onSet;\n                    }\n                    toggleType.push(i);\n                    break;\n                }\n            }\n\n            if(j === hoverLen) {\n                // no match - only turn this annotation OFF, and only if\n                // showmode is 'onout'\n                if(anni.visible && showMode === 'onout') offSet.push(i);\n            }\n        }\n    }\n\n    return {on: onSet, off: offSet, explicitOff: explicitOffSet};\n}\n\n// to handle log axes until v2\nfunction clickData2r(d, ax) {\n    return ax.type === 'log' ? ax.l2r(d) : ax.d2r(d);\n}\n\n},{\"../../lib\":696,\"../../plot_api/plot_template\":735,\"../../registry\":828}],556:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Color = _dereq_('../color');\n\n// defaults common to 'annotations' and 'annotations3d'\nmodule.exports = function handleAnnotationCommonDefaults(annIn, annOut, fullLayout, coerce) {\n    coerce('opacity');\n    var bgColor = coerce('bgcolor');\n\n    var borderColor = coerce('bordercolor');\n    var borderOpacity = Color.opacity(borderColor);\n\n    coerce('borderpad');\n\n    var borderWidth = coerce('borderwidth');\n    var showArrow = coerce('showarrow');\n\n    coerce('text', showArrow ? ' ' : fullLayout._dfltTitle.annotation);\n    coerce('textangle');\n    Lib.coerceFont(coerce, 'font', fullLayout.font);\n\n    coerce('width');\n    coerce('align');\n\n    var h = coerce('height');\n    if(h) coerce('valign');\n\n    if(showArrow) {\n        var arrowside = coerce('arrowside');\n        var arrowhead;\n        var arrowsize;\n\n        if(arrowside.indexOf('end') !== -1) {\n            arrowhead = coerce('arrowhead');\n            arrowsize = coerce('arrowsize');\n        }\n\n        if(arrowside.indexOf('start') !== -1) {\n            coerce('startarrowhead', arrowhead);\n            coerce('startarrowsize', arrowsize);\n        }\n        coerce('arrowcolor', borderOpacity ? annOut.bordercolor : Color.defaultLine);\n        coerce('arrowwidth', ((borderOpacity && borderWidth) || 1) * 2);\n        coerce('standoff');\n        coerce('startstandoff');\n\n    }\n\n    var hoverText = coerce('hovertext');\n    var globalHoverLabel = fullLayout.hoverlabel || {};\n\n    if(hoverText) {\n        var hoverBG = coerce('hoverlabel.bgcolor', globalHoverLabel.bgcolor ||\n            (Color.opacity(bgColor) ? Color.rgb(bgColor) : Color.defaultLine)\n        );\n\n        var hoverBorder = coerce('hoverlabel.bordercolor', globalHoverLabel.bordercolor ||\n            Color.contrast(hoverBG)\n        );\n\n        Lib.coerceFont(coerce, 'hoverlabel.font', {\n            family: globalHoverLabel.font.family,\n            size: globalHoverLabel.font.size,\n            color: globalHoverLabel.font.color || hoverBorder\n        });\n    }\n\n    coerce('captureevents', !!hoverText);\n};\n\n},{\"../../lib\":696,\"../color\":570}],557:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar toLogRange = _dereq_('../../lib/to_log_range');\n\n/*\n * convertCoords: when converting an axis between log and linear\n * you need to alter any annotations on that axis to keep them\n * pointing at the same data point.\n * In v2.0 this will become obsolete\n *\n * gd: the plot div\n * ax: the axis being changed\n * newType: the type it's getting\n * doExtra: function(attr, val) from inside relayout that sets the attribute.\n *     Use this to make the changes as it's aware if any other changes in the\n *     same relayout call should override this conversion.\n */\nmodule.exports = function convertCoords(gd, ax, newType, doExtra) {\n    ax = ax || {};\n\n    var toLog = (newType === 'log') && (ax.type === 'linear'),\n        fromLog = (newType === 'linear') && (ax.type === 'log');\n\n    if(!(toLog || fromLog)) return;\n\n    var annotations = gd._fullLayout.annotations,\n        axLetter = ax._id.charAt(0),\n        ann,\n        attrPrefix;\n\n    function convert(attr) {\n        var currentVal = ann[attr],\n            newVal = null;\n\n        if(toLog) newVal = toLogRange(currentVal, ax.range);\n        else newVal = Math.pow(10, currentVal);\n\n        // if conversion failed, delete the value so it gets a default value\n        if(!isNumeric(newVal)) newVal = null;\n\n        doExtra(attrPrefix + attr, newVal);\n    }\n\n    for(var i = 0; i < annotations.length; i++) {\n        ann = annotations[i];\n        attrPrefix = 'annotations[' + i + '].';\n\n        if(ann[axLetter + 'ref'] === ax._id) convert(axLetter);\n        if(ann['a' + axLetter + 'ref'] === ax._id) convert('a' + axLetter);\n    }\n};\n\n},{\"../../lib/to_log_range\":723,\"fast-isnumeric\":214}],558:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar handleArrayContainerDefaults = _dereq_('../../plots/array_container_defaults');\n\nvar handleAnnotationCommonDefaults = _dereq_('./common_defaults');\nvar attributes = _dereq_('./attributes');\n\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut) {\n    handleArrayContainerDefaults(layoutIn, layoutOut, {\n        name: 'annotations',\n        handleItemDefaults: handleAnnotationDefaults\n    });\n};\n\nfunction handleAnnotationDefaults(annIn, annOut, fullLayout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(annIn, annOut, attributes, attr, dflt);\n    }\n\n    var visible = coerce('visible');\n    var clickToShow = coerce('clicktoshow');\n\n    if(!(visible || clickToShow)) return;\n\n    handleAnnotationCommonDefaults(annIn, annOut, fullLayout, coerce);\n\n    var showArrow = annOut.showarrow;\n\n    // positioning\n    var axLetters = ['x', 'y'],\n        arrowPosDflt = [-10, -30],\n        gdMock = {_fullLayout: fullLayout};\n    for(var i = 0; i < 2; i++) {\n        var axLetter = axLetters[i];\n\n        // xref, yref\n        var axRef = Axes.coerceRef(annIn, annOut, gdMock, axLetter, '', 'paper');\n\n        if(axRef !== 'paper') {\n            var ax = Axes.getFromId(gdMock, axRef);\n            ax._annIndices.push(annOut._index);\n        }\n\n        // x, y\n        Axes.coercePosition(annOut, gdMock, coerce, axRef, axLetter, 0.5);\n\n        if(showArrow) {\n            var arrowPosAttr = 'a' + axLetter,\n                // axref, ayref\n                aaxRef = Axes.coerceRef(annIn, annOut, gdMock, arrowPosAttr, 'pixel');\n\n            // for now the arrow can only be on the same axis or specified as pixels\n            // TODO: sometime it might be interesting to allow it to be on *any* axis\n            // but that would require updates to drawing & autorange code and maybe more\n            if(aaxRef !== 'pixel' && aaxRef !== axRef) {\n                aaxRef = annOut[arrowPosAttr] = 'pixel';\n            }\n\n            // ax, ay\n            var aDflt = (aaxRef === 'pixel') ? arrowPosDflt[i] : 0.4;\n            Axes.coercePosition(annOut, gdMock, coerce, aaxRef, arrowPosAttr, aDflt);\n        }\n\n        // xanchor, yanchor\n        coerce(axLetter + 'anchor');\n\n        // xshift, yshift\n        coerce(axLetter + 'shift');\n    }\n\n    // if you have one coordinate you should have both\n    Lib.noneOrAll(annIn, annOut, ['x', 'y']);\n\n    // if you have one part of arrow length you should have both\n    if(showArrow) {\n        Lib.noneOrAll(annIn, annOut, ['ax', 'ay']);\n    }\n\n    if(clickToShow) {\n        var xClick = coerce('xclick');\n        var yClick = coerce('yclick');\n\n        // put the actual click data to bind to into private attributes\n        // so we don't have to do this little bit of logic on every hover event\n        annOut._xclick = (xClick === undefined) ?\n            annOut.x :\n            Axes.cleanPosition(xClick, gdMock, annOut.xref);\n        annOut._yclick = (yClick === undefined) ?\n            annOut.y :\n            Axes.cleanPosition(yClick, gdMock, annOut.yref);\n    }\n}\n\n},{\"../../lib\":696,\"../../plots/array_container_defaults\":741,\"../../plots/cartesian/axes\":745,\"./attributes\":553,\"./common_defaults\":556}],559:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Registry = _dereq_('../../registry');\nvar Plots = _dereq_('../../plots/plots');\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Color = _dereq_('../color');\nvar Drawing = _dereq_('../drawing');\nvar Fx = _dereq_('../fx');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar setCursor = _dereq_('../../lib/setcursor');\nvar dragElement = _dereq_('../dragelement');\nvar arrayEditor = _dereq_('../../plot_api/plot_template').arrayEditor;\n\nvar drawArrowHead = _dereq_('./draw_arrow_head');\n\n// Annotations are stored in gd.layout.annotations, an array of objects\n// index can point to one item in this array,\n//  or non-numeric to simply add a new one\n//  or -1 to modify all existing\n// opt can be the full options object, or one key (to be set to value)\n//  or undefined to simply redraw\n// if opt is blank, val can be 'add' or a full options object to add a new\n//  annotation at that point in the array, or 'remove' to delete this one\n\nmodule.exports = {\n    draw: draw,\n    drawOne: drawOne,\n    drawRaw: drawRaw\n};\n\n/*\n * draw: draw all annotations without any new modifications\n */\nfunction draw(gd) {\n    var fullLayout = gd._fullLayout;\n\n    fullLayout._infolayer.selectAll('.annotation').remove();\n\n    for(var i = 0; i < fullLayout.annotations.length; i++) {\n        if(fullLayout.annotations[i].visible) {\n            drawOne(gd, i);\n        }\n    }\n\n    return Plots.previousPromises(gd);\n}\n\n/*\n * drawOne: draw a single cartesian or paper-ref annotation, potentially with modifications\n *\n * index (int): the annotation to draw\n */\nfunction drawOne(gd, index) {\n    var fullLayout = gd._fullLayout;\n    var options = fullLayout.annotations[index] || {};\n    var xa = Axes.getFromId(gd, options.xref);\n    var ya = Axes.getFromId(gd, options.yref);\n\n    drawRaw(gd, options, index, false, xa, ya);\n}\n\n/**\n * drawRaw: draw a single annotation, potentially with modifications\n *\n * @param {DOM element} gd\n * @param {object} options : this annotation's fullLayout options\n * @param {integer} index : index in 'annotations' container of the annotation to draw\n * @param {string} subplotId : id of the annotation's subplot\n *  - use false for 2d (i.e. cartesian or paper-ref) annotations\n * @param {object | undefined} xa : full x-axis object to compute subplot pos-to-px\n * @param {object | undefined} ya : ... y-axis\n */\nfunction drawRaw(gd, options, index, subplotId, xa, ya) {\n    var fullLayout = gd._fullLayout;\n    var gs = gd._fullLayout._size;\n    var edits = gd._context.edits;\n\n    var className, containerStr;\n\n    if(subplotId) {\n        className = 'annotation-' + subplotId;\n        containerStr = subplotId + '.annotations';\n    } else {\n        className = 'annotation';\n        containerStr = 'annotations';\n    }\n\n    var editHelpers = arrayEditor(gd.layout, containerStr, options);\n    var modifyBase = editHelpers.modifyBase;\n    var modifyItem = editHelpers.modifyItem;\n    var getUpdateObj = editHelpers.getUpdateObj;\n\n    // remove the existing annotation if there is one\n    fullLayout._infolayer\n        .selectAll('.' + className + '[data-index=\"' + index + '\"]')\n        .remove();\n\n    var annClipID = 'clip' + fullLayout._uid + '_ann' + index;\n\n    // this annotation is gone - quit now after deleting it\n    // TODO: use d3 idioms instead of deleting and redrawing every time\n    if(!options._input || options.visible === false) {\n        d3.selectAll('#' + annClipID).remove();\n        return;\n    }\n\n    // calculated pixel positions\n    // x & y each will get text, head, and tail as appropriate\n    var annPosPx = {x: {}, y: {}},\n        textangle = +options.textangle || 0;\n\n    // create the components\n    // made a single group to contain all, so opacity can work right\n    // with border/arrow together this could handle a whole bunch of\n    // cleanup at this point, but works for now\n    var annGroup = fullLayout._infolayer.append('g')\n        .classed(className, true)\n        .attr('data-index', String(index))\n        .style('opacity', options.opacity);\n\n    // another group for text+background so that they can rotate together\n    var annTextGroup = annGroup.append('g')\n        .classed('annotation-text-g', true);\n\n    var editTextPosition = edits[options.showarrow ? 'annotationTail' : 'annotationPosition'];\n    var textEvents = options.captureevents || edits.annotationText || editTextPosition;\n\n    var annTextGroupInner = annTextGroup.append('g')\n        .style('pointer-events', textEvents ? 'all' : null)\n        .call(setCursor, 'pointer')\n        .on('click', function() {\n            gd._dragging = false;\n\n            var eventData = {\n                index: index,\n                annotation: options._input,\n                fullAnnotation: options,\n                event: d3.event\n            };\n\n            if(subplotId) {\n                eventData.subplotId = subplotId;\n            }\n\n            gd.emit('plotly_clickannotation', eventData);\n        });\n\n    if(options.hovertext) {\n        annTextGroupInner\n        .on('mouseover', function() {\n            var hoverOptions = options.hoverlabel;\n            var hoverFont = hoverOptions.font;\n            var bBox = this.getBoundingClientRect();\n            var bBoxRef = gd.getBoundingClientRect();\n\n            Fx.loneHover({\n                x0: bBox.left - bBoxRef.left,\n                x1: bBox.right - bBoxRef.left,\n                y: (bBox.top + bBox.bottom) / 2 - bBoxRef.top,\n                text: options.hovertext,\n                color: hoverOptions.bgcolor,\n                borderColor: hoverOptions.bordercolor,\n                fontFamily: hoverFont.family,\n                fontSize: hoverFont.size,\n                fontColor: hoverFont.color\n            }, {\n                container: fullLayout._hoverlayer.node(),\n                outerContainer: fullLayout._paper.node(),\n                gd: gd\n            });\n        })\n        .on('mouseout', function() {\n            Fx.loneUnhover(fullLayout._hoverlayer.node());\n        });\n    }\n\n    var borderwidth = options.borderwidth,\n        borderpad = options.borderpad,\n        borderfull = borderwidth + borderpad;\n\n    var annTextBG = annTextGroupInner.append('rect')\n        .attr('class', 'bg')\n        .style('stroke-width', borderwidth + 'px')\n        .call(Color.stroke, options.bordercolor)\n        .call(Color.fill, options.bgcolor);\n\n    var isSizeConstrained = options.width || options.height;\n\n    var annTextClip = fullLayout._topclips\n        .selectAll('#' + annClipID)\n        .data(isSizeConstrained ? [0] : []);\n\n    annTextClip.enter().append('clipPath')\n        .classed('annclip', true)\n        .attr('id', annClipID)\n      .append('rect');\n    annTextClip.exit().remove();\n\n    var font = options.font;\n\n    var annText = annTextGroupInner.append('text')\n        .classed('annotation-text', true)\n        .text(options.text);\n\n    function textLayout(s) {\n        s.call(Drawing.font, font)\n        .attr({\n            'text-anchor': {\n                left: 'start',\n                right: 'end'\n            }[options.align] || 'middle'\n        });\n\n        svgTextUtils.convertToTspans(s, gd, drawGraphicalElements);\n        return s;\n    }\n\n    function drawGraphicalElements() {\n        // if the text has *only* a link, make the whole box into a link\n        var anchor3 = annText.selectAll('a');\n        if(anchor3.size() === 1 && anchor3.text() === annText.text()) {\n            var wholeLink = annTextGroupInner.insert('a', ':first-child').attr({\n                'xlink:xlink:href': anchor3.attr('xlink:href'),\n                'xlink:xlink:show': anchor3.attr('xlink:show')\n            })\n            .style({cursor: 'pointer'});\n\n            wholeLink.node().appendChild(annTextBG.node());\n        }\n\n        var mathjaxGroup = annTextGroupInner.select('.annotation-text-math-group');\n        var hasMathjax = !mathjaxGroup.empty();\n        var anntextBB = Drawing.bBox(\n                (hasMathjax ? mathjaxGroup : annText).node());\n        var textWidth = anntextBB.width;\n        var textHeight = anntextBB.height;\n        var annWidth = options.width || textWidth;\n        var annHeight = options.height || textHeight;\n        var outerWidth = Math.round(annWidth + 2 * borderfull);\n        var outerHeight = Math.round(annHeight + 2 * borderfull);\n\n        function shiftFraction(v, anchor) {\n            if(anchor === 'auto') {\n                if(v < 1 / 3) anchor = 'left';\n                else if(v > 2 / 3) anchor = 'right';\n                else anchor = 'center';\n            }\n            return {\n                center: 0,\n                middle: 0,\n                left: 0.5,\n                bottom: -0.5,\n                right: -0.5,\n                top: 0.5\n            }[anchor];\n        }\n\n        var annotationIsOffscreen = false;\n        var letters = ['x', 'y'];\n\n        for(var i = 0; i < letters.length; i++) {\n            var axLetter = letters[i],\n                axRef = options[axLetter + 'ref'] || axLetter,\n                tailRef = options['a' + axLetter + 'ref'],\n                ax = {x: xa, y: ya}[axLetter],\n                dimAngle = (textangle + (axLetter === 'x' ? 0 : -90)) * Math.PI / 180,\n                // note that these two can be either positive or negative\n                annSizeFromWidth = outerWidth * Math.cos(dimAngle),\n                annSizeFromHeight = outerHeight * Math.sin(dimAngle),\n                // but this one is the positive total size\n                annSize = Math.abs(annSizeFromWidth) + Math.abs(annSizeFromHeight),\n                anchor = options[axLetter + 'anchor'],\n                overallShift = options[axLetter + 'shift'] * (axLetter === 'x' ? 1 : -1),\n                posPx = annPosPx[axLetter],\n                basePx,\n                textPadShift,\n                alignPosition,\n                autoAlignFraction,\n                textShift;\n\n            /*\n             * calculate the *primary* pixel position\n             * which is the arrowhead if there is one,\n             * otherwise the text anchor point\n             */\n            if(ax) {\n                // check if annotation is off screen, to bypass DOM manipulations\n                var posFraction = ax.r2fraction(options[axLetter]);\n                if(posFraction < 0 || posFraction > 1) {\n                    if(tailRef === axRef) {\n                        posFraction = ax.r2fraction(options['a' + axLetter]);\n                        if(posFraction < 0 || posFraction > 1) {\n                            annotationIsOffscreen = true;\n                        }\n                    } else {\n                        annotationIsOffscreen = true;\n                    }\n                }\n                basePx = ax._offset + ax.r2p(options[axLetter]);\n                autoAlignFraction = 0.5;\n            }\n            else {\n                if(axLetter === 'x') {\n                    alignPosition = options[axLetter];\n                    basePx = gs.l + gs.w * alignPosition;\n                }\n                else {\n                    alignPosition = 1 - options[axLetter];\n                    basePx = gs.t + gs.h * alignPosition;\n                }\n                autoAlignFraction = options.showarrow ? 0.5 : alignPosition;\n            }\n\n            // now translate this into pixel positions of head, tail, and text\n            // as well as paddings for autorange\n            if(options.showarrow) {\n                posPx.head = basePx;\n\n                var arrowLength = options['a' + axLetter];\n\n                // with an arrow, the text rotates around the anchor point\n                textShift = annSizeFromWidth * shiftFraction(0.5, options.xanchor) -\n                    annSizeFromHeight * shiftFraction(0.5, options.yanchor);\n\n                if(tailRef === axRef) {\n                    posPx.tail = ax._offset + ax.r2p(arrowLength);\n                    // tail is data-referenced: autorange pads the text in px from the tail\n                    textPadShift = textShift;\n                }\n                else {\n                    posPx.tail = basePx + arrowLength;\n                    // tail is specified in px from head, so autorange also pads vs head\n                    textPadShift = textShift + arrowLength;\n                }\n\n                posPx.text = posPx.tail + textShift;\n\n                // constrain pixel/paper referenced so the draggers are at least\n                // partially visible\n                var maxPx = fullLayout[(axLetter === 'x') ? 'width' : 'height'];\n                if(axRef === 'paper') {\n                    posPx.head = Lib.constrain(posPx.head, 1, maxPx - 1);\n                }\n                if(tailRef === 'pixel') {\n                    var shiftPlus = -Math.max(posPx.tail - 3, posPx.text),\n                        shiftMinus = Math.min(posPx.tail + 3, posPx.text) - maxPx;\n                    if(shiftPlus > 0) {\n                        posPx.tail += shiftPlus;\n                        posPx.text += shiftPlus;\n                    }\n                    else if(shiftMinus > 0) {\n                        posPx.tail -= shiftMinus;\n                        posPx.text -= shiftMinus;\n                    }\n                }\n\n                posPx.tail += overallShift;\n                posPx.head += overallShift;\n            }\n            else {\n                // with no arrow, the text rotates and *then* we put the anchor\n                // relative to the new bounding box\n                textShift = annSize * shiftFraction(autoAlignFraction, anchor);\n                textPadShift = textShift;\n                posPx.text = basePx + textShift;\n            }\n\n            posPx.text += overallShift;\n            textShift += overallShift;\n            textPadShift += overallShift;\n\n            // padplus/minus are used by autorange\n            options['_' + axLetter + 'padplus'] = (annSize / 2) + textPadShift;\n            options['_' + axLetter + 'padminus'] = (annSize / 2) - textPadShift;\n\n            // size/shift are used during dragging\n            options['_' + axLetter + 'size'] = annSize;\n            options['_' + axLetter + 'shift'] = textShift;\n        }\n\n        // We have everything we need for calcAutorange at this point,\n        // we can safely exit - unless we're currently dragging the plot\n        if(!gd._dragging && annotationIsOffscreen) {\n            annTextGroupInner.remove();\n            return;\n        }\n\n        var xShift = 0;\n        var yShift = 0;\n\n        if(options.align !== 'left') {\n            xShift = (annWidth - textWidth) * (options.align === 'center' ? 0.5 : 1);\n        }\n        if(options.valign !== 'top') {\n            yShift = (annHeight - textHeight) * (options.valign === 'middle' ? 0.5 : 1);\n        }\n\n        if(hasMathjax) {\n            mathjaxGroup.select('svg').attr({\n                x: borderfull + xShift - 1,\n                y: borderfull + yShift\n            })\n            .call(Drawing.setClipUrl, isSizeConstrained ? annClipID : null);\n        }\n        else {\n            var texty = borderfull + yShift - anntextBB.top;\n            var textx = borderfull + xShift - anntextBB.left;\n\n            annText.call(svgTextUtils.positionText, textx, texty)\n                .call(Drawing.setClipUrl, isSizeConstrained ? annClipID : null);\n        }\n\n        annTextClip.select('rect').call(Drawing.setRect, borderfull, borderfull,\n            annWidth, annHeight);\n\n        annTextBG.call(Drawing.setRect, borderwidth / 2, borderwidth / 2,\n            outerWidth - borderwidth, outerHeight - borderwidth);\n\n        annTextGroupInner.call(Drawing.setTranslate,\n            Math.round(annPosPx.x.text - outerWidth / 2),\n            Math.round(annPosPx.y.text - outerHeight / 2));\n\n        /*\n         * rotate text and background\n         * we already calculated the text center position *as rotated*\n         * because we needed that for autoranging anyway, so now whether\n         * we have an arrow or not, we rotate about the text center.\n         */\n        annTextGroup.attr({transform: 'rotate(' + textangle + ',' +\n                            annPosPx.x.text + ',' + annPosPx.y.text + ')'});\n\n        /*\n         * add the arrow\n         * uses options[arrowwidth,arrowcolor,arrowhead] for styling\n         * dx and dy are normally zero, but when you are dragging the textbox\n         * while the head stays put, dx and dy are the pixel offsets\n         */\n        var drawArrow = function(dx, dy) {\n            annGroup\n                .selectAll('.annotation-arrow-g')\n                .remove();\n\n            var headX = annPosPx.x.head,\n                headY = annPosPx.y.head,\n                tailX = annPosPx.x.tail + dx,\n                tailY = annPosPx.y.tail + dy,\n                textX = annPosPx.x.text + dx,\n                textY = annPosPx.y.text + dy,\n\n                // find the edge of the text box, where we'll start the arrow:\n                // create transform matrix to rotate the text box corners\n                transform = Lib.rotationXYMatrix(textangle, textX, textY),\n                applyTransform = Lib.apply2DTransform(transform),\n                applyTransform2 = Lib.apply2DTransform2(transform),\n\n                // calculate and transform bounding box\n                width = +annTextBG.attr('width'),\n                height = +annTextBG.attr('height'),\n                xLeft = textX - 0.5 * width,\n                xRight = xLeft + width,\n                yTop = textY - 0.5 * height,\n                yBottom = yTop + height,\n                edges = [\n                    [xLeft, yTop, xLeft, yBottom],\n                    [xLeft, yBottom, xRight, yBottom],\n                    [xRight, yBottom, xRight, yTop],\n                    [xRight, yTop, xLeft, yTop]\n                ].map(applyTransform2);\n\n            // Remove the line if it ends inside the box.  Use ray\n            // casting for rotated boxes: see which edges intersect a\n            // line from the arrowhead to far away and reduce with xor\n            // to get the parity of the number of intersections.\n            if(edges.reduce(function(a, x) {\n                return a ^\n                    !!Lib.segmentsIntersect(headX, headY, headX + 1e6, headY + 1e6,\n                            x[0], x[1], x[2], x[3]);\n            }, false)) {\n                // no line or arrow - so quit drawArrow now\n                return;\n            }\n\n            edges.forEach(function(x) {\n                var p = Lib.segmentsIntersect(tailX, tailY, headX, headY,\n                            x[0], x[1], x[2], x[3]);\n                if(p) {\n                    tailX = p.x;\n                    tailY = p.y;\n                }\n            });\n\n            var strokewidth = options.arrowwidth,\n                arrowColor = options.arrowcolor,\n                arrowSide = options.arrowside;\n\n            var arrowGroup = annGroup.append('g')\n                .style({opacity: Color.opacity(arrowColor)})\n                .classed('annotation-arrow-g', true);\n\n            var arrow = arrowGroup.append('path')\n                .attr('d', 'M' + tailX + ',' + tailY + 'L' + headX + ',' + headY)\n                .style('stroke-width', strokewidth + 'px')\n                .call(Color.stroke, Color.rgb(arrowColor));\n\n            drawArrowHead(arrow, arrowSide, options);\n\n            // the arrow dragger is a small square right at the head, then a line to the tail,\n            // all expanded by a stroke width of 6px plus the arrow line width\n            if(edits.annotationPosition && arrow.node().parentNode && !subplotId) {\n                var arrowDragHeadX = headX;\n                var arrowDragHeadY = headY;\n                if(options.standoff) {\n                    var arrowLength = Math.sqrt(Math.pow(headX - tailX, 2) + Math.pow(headY - tailY, 2));\n                    arrowDragHeadX += options.standoff * (tailX - headX) / arrowLength;\n                    arrowDragHeadY += options.standoff * (tailY - headY) / arrowLength;\n                }\n                var arrowDrag = arrowGroup.append('path')\n                    .classed('annotation-arrow', true)\n                    .classed('anndrag', true)\n                    .classed('cursor-move', true)\n                    .attr({\n                        d: 'M3,3H-3V-3H3ZM0,0L' + (tailX - arrowDragHeadX) + ',' + (tailY - arrowDragHeadY),\n                        transform: 'translate(' + arrowDragHeadX + ',' + arrowDragHeadY + ')'\n                    })\n                    .style('stroke-width', (strokewidth + 6) + 'px')\n                    .call(Color.stroke, 'rgba(0,0,0,0)')\n                    .call(Color.fill, 'rgba(0,0,0,0)');\n\n                var annx0, anny0;\n\n                // dragger for the arrow & head: translates the whole thing\n                // (head/tail/text) all together\n                dragElement.init({\n                    element: arrowDrag.node(),\n                    gd: gd,\n                    prepFn: function() {\n                        var pos = Drawing.getTranslate(annTextGroupInner);\n\n                        annx0 = pos.x;\n                        anny0 = pos.y;\n                        if(xa && xa.autorange) {\n                            modifyBase(xa._name + '.autorange', true);\n                        }\n                        if(ya && ya.autorange) {\n                            modifyBase(ya._name + '.autorange', true);\n                        }\n                    },\n                    moveFn: function(dx, dy) {\n                        var annxy0 = applyTransform(annx0, anny0),\n                            xcenter = annxy0[0] + dx,\n                            ycenter = annxy0[1] + dy;\n                        annTextGroupInner.call(Drawing.setTranslate, xcenter, ycenter);\n\n                        modifyItem('x', xa ?\n                            xa.p2r(xa.r2p(options.x) + dx) :\n                            (options.x + (dx / gs.w)));\n                        modifyItem('y', ya ?\n                            ya.p2r(ya.r2p(options.y) + dy) :\n                            (options.y - (dy / gs.h)));\n\n                        if(options.axref === options.xref) {\n                            modifyItem('ax', xa.p2r(xa.r2p(options.ax) + dx));\n                        }\n\n                        if(options.ayref === options.yref) {\n                            modifyItem('ay', ya.p2r(ya.r2p(options.ay) + dy));\n                        }\n\n                        arrowGroup.attr('transform', 'translate(' + dx + ',' + dy + ')');\n                        annTextGroup.attr({\n                            transform: 'rotate(' + textangle + ',' +\n                                   xcenter + ',' + ycenter + ')'\n                        });\n                    },\n                    doneFn: function() {\n                        Registry.call('relayout', gd, getUpdateObj());\n                        var notesBox = document.querySelector('.js-notes-box-panel');\n                        if(notesBox) notesBox.redraw(notesBox.selectedObj);\n                    }\n                });\n            }\n        };\n\n        if(options.showarrow) drawArrow(0, 0);\n\n        // user dragging the annotation (text, not arrow)\n        if(editTextPosition) {\n            var baseTextTransform;\n\n            // dragger for the textbox: if there's an arrow, just drag the\n            // textbox and tail, leave the head untouched\n            dragElement.init({\n                element: annTextGroupInner.node(),\n                gd: gd,\n                prepFn: function() {\n                    baseTextTransform = annTextGroup.attr('transform');\n                },\n                moveFn: function(dx, dy) {\n                    var csr = 'pointer';\n                    if(options.showarrow) {\n                        if(options.axref === options.xref) {\n                            modifyItem('ax', xa.p2r(xa.r2p(options.ax) + dx));\n                        } else {\n                            modifyItem('ax', options.ax + dx);\n                        }\n\n                        if(options.ayref === options.yref) {\n                            modifyItem('ay', ya.p2r(ya.r2p(options.ay) + dy));\n                        } else {\n                            modifyItem('ay', options.ay + dy);\n                        }\n\n                        drawArrow(dx, dy);\n                    }\n                    else if(!subplotId) {\n                        var xUpdate, yUpdate;\n                        if(xa) {\n                            xUpdate = xa.p2r(xa.r2p(options.x) + dx);\n\n                        } else {\n                            var widthFraction = options._xsize / gs.w,\n                                xLeft = options.x + (options._xshift - options.xshift) / gs.w -\n                                    widthFraction / 2;\n\n                            xUpdate = dragElement.align(xLeft + dx / gs.w,\n                                widthFraction, 0, 1, options.xanchor);\n                        }\n\n                        if(ya) {\n                            yUpdate = ya.p2r(ya.r2p(options.y) + dy);\n                        } else {\n                            var heightFraction = options._ysize / gs.h,\n                                yBottom = options.y - (options._yshift + options.yshift) / gs.h -\n                                    heightFraction / 2;\n\n                            yUpdate = dragElement.align(yBottom - dy / gs.h,\n                                heightFraction, 0, 1, options.yanchor);\n                        }\n                        modifyItem('x', xUpdate);\n                        modifyItem('y', yUpdate);\n                        if(!xa || !ya) {\n                            csr = dragElement.getCursor(\n                                xa ? 0.5 : xUpdate,\n                                ya ? 0.5 : yUpdate,\n                                options.xanchor, options.yanchor\n                            );\n                        }\n                    }\n                    else return;\n\n                    annTextGroup.attr({\n                        transform: 'translate(' + dx + ',' + dy + ')' + baseTextTransform\n                    });\n\n                    setCursor(annTextGroupInner, csr);\n                },\n                doneFn: function() {\n                    setCursor(annTextGroupInner);\n                    Registry.call('relayout', gd, getUpdateObj());\n                    var notesBox = document.querySelector('.js-notes-box-panel');\n                    if(notesBox) notesBox.redraw(notesBox.selectedObj);\n                }\n            });\n        }\n    }\n\n    if(edits.annotationText) {\n        annText.call(svgTextUtils.makeEditable, {delegate: annTextGroupInner, gd: gd})\n            .call(textLayout)\n            .on('edit', function(_text) {\n                options.text = _text;\n                this.call(textLayout);\n\n                modifyItem('text', _text);\n\n                if(xa && xa.autorange) {\n                    modifyBase(xa._name + '.autorange', true);\n                }\n                if(ya && ya.autorange) {\n                    modifyBase(ya._name + '.autorange', true);\n                }\n\n                Registry.call('relayout', gd, getUpdateObj());\n            });\n    }\n    else annText.call(textLayout);\n}\n\n},{\"../../lib\":696,\"../../lib/setcursor\":717,\"../../lib/svg_text_utils\":721,\"../../plot_api/plot_template\":735,\"../../plots/cartesian/axes\":745,\"../../plots/plots\":809,\"../../registry\":828,\"../color\":570,\"../dragelement\":592,\"../drawing\":595,\"../fx\":612,\"./draw_arrow_head\":560,\"d3\":148}],560:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Color = _dereq_('../color');\n\nvar ARROWPATHS = _dereq_('./arrow_paths');\n\n/**\n * Add arrowhead(s) to a path or line element\n *\n * @param {d3.selection} el3: a d3-selected line or path element\n *\n * @param {string} ends: 'none', 'start', 'end', or 'start+end' for which ends get arrowheads\n *\n * @param {object} options: style information. Must have all the following:\n * @param {number} options.arrowhead: end head style - see ./arrow_paths\n * @param {number} options.startarrowhead: start head style - see ./arrow_paths\n * @param {number} options.arrowsize: relative size of the end head vs line width\n * @param {number} options.startarrowsize: relative size of the start head vs line width\n * @param {number} options.standoff: distance in px to move the end arrow point from its target\n * @param {number} options.startstandoff: distance in px to move the start arrow point from its target\n * @param {number} options.arrowwidth: width of the arrow line\n * @param {string} options.arrowcolor: color of the arrow line, for the head to match\n *     Note that the opacity of this color is ignored, as it's assumed the container\n *     of both the line and head has opacity applied to it so there isn't greater opacity\n *     where they overlap.\n */\nmodule.exports = function drawArrowHead(el3, ends, options) {\n    var el = el3.node();\n    var headStyle = ARROWPATHS[options.arrowhead || 0];\n    var startHeadStyle = ARROWPATHS[options.startarrowhead || 0];\n    var scale = (options.arrowwidth || 1) * (options.arrowsize || 1);\n    var startScale = (options.arrowwidth || 1) * (options.startarrowsize || 1);\n    var doStart = ends.indexOf('start') >= 0;\n    var doEnd = ends.indexOf('end') >= 0;\n    var backOff = headStyle.backoff * scale + options.standoff;\n    var startBackOff = startHeadStyle.backoff * startScale + options.startstandoff;\n\n    var start, end, startRot, endRot;\n\n    if(el.nodeName === 'line') {\n        start = {x: +el3.attr('x1'), y: +el3.attr('y1')};\n        end = {x: +el3.attr('x2'), y: +el3.attr('y2')};\n\n        var dx = start.x - end.x;\n        var dy = start.y - end.y;\n\n        startRot = Math.atan2(dy, dx);\n        endRot = startRot + Math.PI;\n        if(backOff && startBackOff) {\n            if(backOff + startBackOff > Math.sqrt(dx * dx + dy * dy)) {\n                hideLine();\n                return;\n            }\n        }\n\n        if(backOff) {\n            if(backOff * backOff > dx * dx + dy * dy) {\n                hideLine();\n                return;\n            }\n            var backOffX = backOff * Math.cos(startRot),\n                backOffY = backOff * Math.sin(startRot);\n\n            end.x += backOffX;\n            end.y += backOffY;\n            el3.attr({x2: end.x, y2: end.y});\n\n        }\n\n        if(startBackOff) {\n            if(startBackOff * startBackOff > dx * dx + dy * dy) {\n                hideLine();\n                return;\n            }\n            var startBackOffX = startBackOff * Math.cos(startRot),\n                startbackOffY = startBackOff * Math.sin(startRot);\n\n            start.x -= startBackOffX;\n            start.y -= startbackOffY;\n            el3.attr({x1: start.x, y1: start.y});\n\n        }\n    }\n    else if(el.nodeName === 'path') {\n        var pathlen = el.getTotalLength(),\n            // using dash to hide the backOff region of the path.\n            // if we ever allow dash for the arrow we'll have to\n            // do better than this hack... maybe just manually\n            // combine the two\n            dashArray = '';\n\n        if(pathlen < backOff + startBackOff) {\n            hideLine();\n            return;\n        }\n\n\n        var start0 = el.getPointAtLength(0);\n        var dstart = el.getPointAtLength(0.1);\n\n        startRot = Math.atan2(start0.y - dstart.y, start0.x - dstart.x);\n        start = el.getPointAtLength(Math.min(startBackOff, pathlen));\n\n        dashArray = '0px,' + startBackOff + 'px,';\n\n        var end0 = el.getPointAtLength(pathlen);\n        var dend = el.getPointAtLength(pathlen - 0.1);\n\n        endRot = Math.atan2(end0.y - dend.y, end0.x - dend.x);\n        end = el.getPointAtLength(Math.max(0, pathlen - backOff));\n\n        var shortening = dashArray ? startBackOff + backOff : backOff;\n        dashArray += (pathlen - shortening) + 'px,' + pathlen + 'px';\n\n        el3.style('stroke-dasharray', dashArray);\n    }\n\n    function hideLine() { el3.style('stroke-dasharray', '0px,100px'); }\n\n    function drawhead(arrowHeadStyle, p, rot, arrowScale) {\n        if(!arrowHeadStyle.path) return;\n        if(arrowHeadStyle.noRotate) rot = 0;\n\n        d3.select(el.parentNode).append('path')\n            .attr({\n                'class': el3.attr('class'),\n                d: arrowHeadStyle.path,\n                transform:\n                    'translate(' + p.x + ',' + p.y + ')' +\n                    (rot ? 'rotate(' + (rot * 180 / Math.PI) + ')' : '') +\n                    'scale(' + arrowScale + ')'\n            })\n            .style({\n                fill: Color.rgb(options.arrowcolor),\n                'stroke-width': 0\n            });\n    }\n\n    if(doStart) drawhead(startHeadStyle, start, startRot, startScale);\n    if(doEnd) drawhead(headStyle, end, endRot, scale);\n};\n\n},{\"../color\":570,\"./arrow_paths\":552,\"d3\":148}],561:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar drawModule = _dereq_('./draw');\nvar clickModule = _dereq_('./click');\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'annotations',\n\n    layoutAttributes: _dereq_('./attributes'),\n    supplyLayoutDefaults: _dereq_('./defaults'),\n    includeBasePlot: _dereq_('../../plots/cartesian/include_components')('annotations'),\n\n    calcAutorange: _dereq_('./calc_autorange'),\n    draw: drawModule.draw,\n    drawOne: drawModule.drawOne,\n    drawRaw: drawModule.drawRaw,\n\n    hasClickToShow: clickModule.hasClickToShow,\n    onClick: clickModule.onClick,\n\n    convertCoords: _dereq_('./convert_coords')\n};\n\n},{\"../../plots/cartesian/include_components\":756,\"./attributes\":553,\"./calc_autorange\":554,\"./click\":555,\"./convert_coords\":557,\"./defaults\":558,\"./draw\":559}],562:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar annAtts = _dereq_('../annotations/attributes');\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\n\nmodule.exports = overrideAll(templatedArray('annotation', {\n    visible: annAtts.visible,\n    x: {\n        valType: 'any',\n        \n        \n    },\n    y: {\n        valType: 'any',\n        \n        \n    },\n    z: {\n        valType: 'any',\n        \n        \n    },\n    ax: {\n        valType: 'number',\n        \n        \n    },\n    ay: {\n        valType: 'number',\n        \n        \n    },\n\n    xanchor: annAtts.xanchor,\n    xshift: annAtts.xshift,\n    yanchor: annAtts.yanchor,\n    yshift: annAtts.yshift,\n\n    text: annAtts.text,\n    textangle: annAtts.textangle,\n    font: annAtts.font,\n    width: annAtts.width,\n    height: annAtts.height,\n    opacity: annAtts.opacity,\n    align: annAtts.align,\n    valign: annAtts.valign,\n    bgcolor: annAtts.bgcolor,\n    bordercolor: annAtts.bordercolor,\n    borderpad: annAtts.borderpad,\n    borderwidth: annAtts.borderwidth,\n    showarrow: annAtts.showarrow,\n    arrowcolor: annAtts.arrowcolor,\n    arrowhead: annAtts.arrowhead,\n    startarrowhead: annAtts.startarrowhead,\n    arrowside: annAtts.arrowside,\n    arrowsize: annAtts.arrowsize,\n    startarrowsize: annAtts.startarrowsize,\n    arrowwidth: annAtts.arrowwidth,\n    standoff: annAtts.standoff,\n    startstandoff: annAtts.startstandoff,\n    hovertext: annAtts.hovertext,\n    hoverlabel: annAtts.hoverlabel,\n    captureevents: annAtts.captureevents,\n\n    // maybes later?\n    // clicktoshow: annAtts.clicktoshow,\n    // xclick: annAtts.xclick,\n    // yclick: annAtts.yclick,\n\n    // not needed!\n    // axref: 'pixel'\n    // ayref: 'pixel'\n    // xref: 'x'\n    // yref: 'y\n    // zref: 'z'\n}), 'calc', 'from-root');\n\n},{\"../../plot_api/edit_types\":728,\"../../plot_api/plot_template\":735,\"../annotations/attributes\":553}],563:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nmodule.exports = function convert(scene) {\n    var fullSceneLayout = scene.fullSceneLayout;\n    var anns = fullSceneLayout.annotations;\n\n    for(var i = 0; i < anns.length; i++) {\n        mockAnnAxes(anns[i], scene);\n    }\n\n    scene.fullLayout._infolayer\n        .selectAll('.annotation-' + scene.id)\n        .remove();\n};\n\nfunction mockAnnAxes(ann, scene) {\n    var fullSceneLayout = scene.fullSceneLayout;\n    var domain = fullSceneLayout.domain;\n    var size = scene.fullLayout._size;\n\n    var base = {\n        // this gets fill in on render\n        pdata: null,\n\n        // to get setConvert to not execute cleanly\n        type: 'linear',\n\n        // don't try to update them on `editable: true`\n        autorange: false,\n\n        // set infinite range so that annotation draw routine\n        // does not try to remove 'outside-range' annotations,\n        // this case is handled in the render loop\n        range: [-Infinity, Infinity]\n    };\n\n    ann._xa = {};\n    Lib.extendFlat(ann._xa, base);\n    Axes.setConvert(ann._xa);\n    ann._xa._offset = size.l + domain.x[0] * size.w;\n    ann._xa.l2p = function() {\n        return 0.5 * (1 + ann._pdata[0] / ann._pdata[3]) * size.w * (domain.x[1] - domain.x[0]);\n    };\n\n    ann._ya = {};\n    Lib.extendFlat(ann._ya, base);\n    Axes.setConvert(ann._ya);\n    ann._ya._offset = size.t + (1 - domain.y[1]) * size.h;\n    ann._ya.l2p = function() {\n        return 0.5 * (1 - ann._pdata[1] / ann._pdata[3]) * size.h * (domain.y[1] - domain.y[0]);\n    };\n}\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745}],564:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar handleArrayContainerDefaults = _dereq_('../../plots/array_container_defaults');\nvar handleAnnotationCommonDefaults = _dereq_('../annotations/common_defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function handleDefaults(sceneLayoutIn, sceneLayoutOut, opts) {\n    handleArrayContainerDefaults(sceneLayoutIn, sceneLayoutOut, {\n        name: 'annotations',\n        handleItemDefaults: handleAnnotationDefaults,\n        fullLayout: opts.fullLayout\n    });\n};\n\nfunction handleAnnotationDefaults(annIn, annOut, sceneLayout, opts) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(annIn, annOut, attributes, attr, dflt);\n    }\n\n    function coercePosition(axLetter) {\n        var axName = axLetter + 'axis';\n\n        // mock in such way that getFromId grabs correct 3D axis\n        var gdMock = { _fullLayout: {} };\n        gdMock._fullLayout[axName] = sceneLayout[axName];\n\n        return Axes.coercePosition(annOut, gdMock, coerce, axLetter, axLetter, 0.5);\n    }\n\n\n    var visible = coerce('visible');\n    if(!visible) return;\n\n    handleAnnotationCommonDefaults(annIn, annOut, opts.fullLayout, coerce);\n\n    coercePosition('x');\n    coercePosition('y');\n    coercePosition('z');\n\n    // if you have one coordinate you should all three\n    Lib.noneOrAll(annIn, annOut, ['x', 'y', 'z']);\n\n    // hard-set here for completeness\n    annOut.xref = 'x';\n    annOut.yref = 'y';\n    annOut.zref = 'z';\n\n    coerce('xanchor');\n    coerce('yanchor');\n    coerce('xshift');\n    coerce('yshift');\n\n    if(annOut.showarrow) {\n        annOut.axref = 'pixel';\n        annOut.ayref = 'pixel';\n\n        // TODO maybe default values should be bigger than the 2D case?\n        coerce('ax', -10);\n        coerce('ay', -30);\n\n        // if you have one part of arrow length you should have both\n        Lib.noneOrAll(annIn, annOut, ['ax', 'ay']);\n    }\n}\n\n},{\"../../lib\":696,\"../../plots/array_container_defaults\":741,\"../../plots/cartesian/axes\":745,\"../annotations/common_defaults\":556,\"./attributes\":562}],565:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar drawRaw = _dereq_('../annotations/draw').drawRaw;\nvar project = _dereq_('../../plots/gl3d/project');\nvar axLetters = ['x', 'y', 'z'];\n\nmodule.exports = function draw(scene) {\n    var fullSceneLayout = scene.fullSceneLayout;\n    var dataScale = scene.dataScale;\n    var anns = fullSceneLayout.annotations;\n\n    for(var i = 0; i < anns.length; i++) {\n        var ann = anns[i];\n        var annotationIsOffscreen = false;\n\n        for(var j = 0; j < 3; j++) {\n            var axLetter = axLetters[j];\n            var pos = ann[axLetter];\n            var ax = fullSceneLayout[axLetter + 'axis'];\n            var posFraction = ax.r2fraction(pos);\n\n            if(posFraction < 0 || posFraction > 1) {\n                annotationIsOffscreen = true;\n                break;\n            }\n        }\n\n        if(annotationIsOffscreen) {\n            scene.fullLayout._infolayer\n                .select('.annotation-' + scene.id + '[data-index=\"' + i + '\"]')\n                .remove();\n        } else {\n            ann._pdata = project(scene.glplot.cameraParams, [\n                fullSceneLayout.xaxis.r2l(ann.x) * dataScale[0],\n                fullSceneLayout.yaxis.r2l(ann.y) * dataScale[1],\n                fullSceneLayout.zaxis.r2l(ann.z) * dataScale[2]\n            ]);\n\n            drawRaw(scene.graphDiv, ann, i, scene.id, ann._xa, ann._ya);\n        }\n    }\n};\n\n},{\"../../plots/gl3d/project\":797,\"../annotations/draw\":559}],566:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'annotations3d',\n\n    schema: {\n        subplots: {\n            scene: {annotations: _dereq_('./attributes')}\n        }\n    },\n\n    layoutAttributes: _dereq_('./attributes'),\n    handleDefaults: _dereq_('./defaults'),\n    includeBasePlot: includeGL3D,\n\n    convert: _dereq_('./convert'),\n    draw: _dereq_('./draw')\n};\n\nfunction includeGL3D(layoutIn, layoutOut) {\n    var GL3D = Registry.subplotsRegistry.gl3d;\n    if(!GL3D) return;\n\n    var attrRegex = GL3D.attrRegex;\n\n    var keys = Object.keys(layoutIn);\n    for(var i = 0; i < keys.length; i++) {\n        var k = keys[i];\n        if(attrRegex.test(k) && (layoutIn[k].annotations || []).length) {\n            Lib.pushUnique(layoutOut._basePlotModules, GL3D);\n            Lib.pushUnique(layoutOut._subplots.gl3d, k);\n        }\n    }\n}\n\n},{\"../../lib\":696,\"../../registry\":828,\"./attributes\":562,\"./convert\":563,\"./defaults\":564,\"./draw\":565}],567:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n// a trimmed down version of:\n// https://github.com/alexcjohnson/world-calendars/blob/master/dist/index.js\n\nmodule.exports = _dereq_('world-calendars/dist/main');\n\n_dereq_('world-calendars/dist/plus');\n\n_dereq_('world-calendars/dist/calendars/chinese');\n_dereq_('world-calendars/dist/calendars/coptic');\n_dereq_('world-calendars/dist/calendars/discworld');\n_dereq_('world-calendars/dist/calendars/ethiopian');\n_dereq_('world-calendars/dist/calendars/hebrew');\n_dereq_('world-calendars/dist/calendars/islamic');\n_dereq_('world-calendars/dist/calendars/julian');\n_dereq_('world-calendars/dist/calendars/mayan');\n_dereq_('world-calendars/dist/calendars/nanakshahi');\n_dereq_('world-calendars/dist/calendars/nepali');\n_dereq_('world-calendars/dist/calendars/persian');\n_dereq_('world-calendars/dist/calendars/taiwan');\n_dereq_('world-calendars/dist/calendars/thai');\n_dereq_('world-calendars/dist/calendars/ummalqura');\n\n},{\"world-calendars/dist/calendars/chinese\":534,\"world-calendars/dist/calendars/coptic\":535,\"world-calendars/dist/calendars/discworld\":536,\"world-calendars/dist/calendars/ethiopian\":537,\"world-calendars/dist/calendars/hebrew\":538,\"world-calendars/dist/calendars/islamic\":539,\"world-calendars/dist/calendars/julian\":540,\"world-calendars/dist/calendars/mayan\":541,\"world-calendars/dist/calendars/nanakshahi\":542,\"world-calendars/dist/calendars/nepali\":543,\"world-calendars/dist/calendars/persian\":544,\"world-calendars/dist/calendars/taiwan\":545,\"world-calendars/dist/calendars/thai\":546,\"world-calendars/dist/calendars/ummalqura\":547,\"world-calendars/dist/main\":548,\"world-calendars/dist/plus\":549}],568:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar calendars = _dereq_('./calendars');\n\nvar Lib = _dereq_('../../lib');\nvar constants = _dereq_('../../constants/numerical');\n\nvar EPOCHJD = constants.EPOCHJD;\nvar ONEDAY = constants.ONEDAY;\n\nvar attributes = {\n    valType: 'enumerated',\n    values: Object.keys(calendars.calendars),\n    \n    editType: 'calc',\n    dflt: 'gregorian'\n};\n\nvar handleDefaults = function(contIn, contOut, attr, dflt) {\n    var attrs = {};\n    attrs[attr] = attributes;\n\n    return Lib.coerce(contIn, contOut, attrs, attr, dflt);\n};\n\nvar handleTraceDefaults = function(traceIn, traceOut, coords, layout) {\n    for(var i = 0; i < coords.length; i++) {\n        handleDefaults(traceIn, traceOut, coords[i] + 'calendar', layout.calendar);\n    }\n};\n\n// each calendar needs its own default canonical tick. I would love to use\n// 2000-01-01 (or even 0000-01-01) for them all but they don't necessarily\n// all support either of those dates. Instead I'll use the most significant\n// number they *do* support, biased toward the present day.\nvar CANONICAL_TICK = {\n    chinese: '2000-01-01',\n    coptic: '2000-01-01',\n    discworld: '2000-01-01',\n    ethiopian: '2000-01-01',\n    hebrew: '5000-01-01',\n    islamic: '1000-01-01',\n    julian: '2000-01-01',\n    mayan: '5000-01-01',\n    nanakshahi: '1000-01-01',\n    nepali: '2000-01-01',\n    persian: '1000-01-01',\n    jalali: '1000-01-01',\n    taiwan: '1000-01-01',\n    thai: '2000-01-01',\n    ummalqura: '1400-01-01'\n};\n\n// Start on a Sunday - for week ticks\n// Discworld and Mayan calendars don't have 7-day weeks but we're going to give them\n// 7-day week ticks so start on our Sundays.\n// If anyone really cares we can customize the auto tick spacings for these calendars.\nvar CANONICAL_SUNDAY = {\n    chinese: '2000-01-02',\n    coptic: '2000-01-03',\n    discworld: '2000-01-03',\n    ethiopian: '2000-01-05',\n    hebrew: '5000-01-01',\n    islamic: '1000-01-02',\n    julian: '2000-01-03',\n    mayan: '5000-01-01',\n    nanakshahi: '1000-01-05',\n    nepali: '2000-01-05',\n    persian: '1000-01-01',\n    jalali: '1000-01-01',\n    taiwan: '1000-01-04',\n    thai: '2000-01-04',\n    ummalqura: '1400-01-06'\n};\n\nvar DFLTRANGE = {\n    chinese: ['2000-01-01', '2001-01-01'],\n    coptic: ['1700-01-01', '1701-01-01'],\n    discworld: ['1800-01-01', '1801-01-01'],\n    ethiopian: ['2000-01-01', '2001-01-01'],\n    hebrew: ['5700-01-01', '5701-01-01'],\n    islamic: ['1400-01-01', '1401-01-01'],\n    julian: ['2000-01-01', '2001-01-01'],\n    mayan: ['5200-01-01', '5201-01-01'],\n    nanakshahi: ['0500-01-01', '0501-01-01'],\n    nepali: ['2000-01-01', '2001-01-01'],\n    persian: ['1400-01-01', '1401-01-01'],\n    jalali: ['1400-01-01', '1401-01-01'],\n    taiwan: ['0100-01-01', '0101-01-01'],\n    thai: ['2500-01-01', '2501-01-01'],\n    ummalqura: ['1400-01-01', '1401-01-01']\n};\n\n/*\n * convert d3 templates to world-calendars templates, so our users only need\n * to know d3's specifiers. Map space padding to no padding, and unknown fields\n * to an ugly placeholder\n */\nvar UNKNOWN = '##';\nvar d3ToWorldCalendars = {\n    'd': {'0': 'dd', '-': 'd'}, // 2-digit or unpadded day of month\n    'e': {'0': 'd', '-': 'd'}, // alternate, always unpadded day of month\n    'a': {'0': 'D', '-': 'D'}, // short weekday name\n    'A': {'0': 'DD', '-': 'DD'}, // full weekday name\n    'j': {'0': 'oo', '-': 'o'}, // 3-digit or unpadded day of the year\n    'W': {'0': 'ww', '-': 'w'}, // 2-digit or unpadded week of the year (Monday first)\n    'm': {'0': 'mm', '-': 'm'}, // 2-digit or unpadded month number\n    'b': {'0': 'M', '-': 'M'}, // short month name\n    'B': {'0': 'MM', '-': 'MM'}, // full month name\n    'y': {'0': 'yy', '-': 'yy'}, // 2-digit year (map unpadded to zero-padded)\n    'Y': {'0': 'yyyy', '-': 'yyyy'}, // 4-digit year (map unpadded to zero-padded)\n    'U': UNKNOWN, // Sunday-first week of the year\n    'w': UNKNOWN, // day of the week [0(sunday),6]\n    // combined format, we replace the date part with the world-calendar version\n    // and the %X stays there for d3 to handle with time parts\n    'c': {'0': 'D M d %X yyyy', '-': 'D M d %X yyyy'},\n    'x': {'0': 'mm/dd/yyyy', '-': 'mm/dd/yyyy'}\n};\n\nfunction worldCalFmt(fmt, x, calendar) {\n    var dateJD = Math.floor((x + 0.05) / ONEDAY) + EPOCHJD,\n        cDate = getCal(calendar).fromJD(dateJD),\n        i = 0,\n        modifier, directive, directiveLen, directiveObj, replacementPart;\n    while((i = fmt.indexOf('%', i)) !== -1) {\n        modifier = fmt.charAt(i + 1);\n        if(modifier === '0' || modifier === '-' || modifier === '_') {\n            directiveLen = 3;\n            directive = fmt.charAt(i + 2);\n            if(modifier === '_') modifier = '-';\n        }\n        else {\n            directive = modifier;\n            modifier = '0';\n            directiveLen = 2;\n        }\n        directiveObj = d3ToWorldCalendars[directive];\n        if(!directiveObj) {\n            i += directiveLen;\n        }\n        else {\n            // code is recognized as a date part but world-calendars doesn't support it\n            if(directiveObj === UNKNOWN) replacementPart = UNKNOWN;\n\n            // format the cDate according to the translated directive\n            else replacementPart = cDate.formatDate(directiveObj[modifier]);\n\n            fmt = fmt.substr(0, i) + replacementPart + fmt.substr(i + directiveLen);\n            i += replacementPart.length;\n        }\n    }\n    return fmt;\n}\n\n// cache world calendars, so we don't have to reinstantiate\n// during each date-time conversion\nvar allCals = {};\nfunction getCal(calendar) {\n    var calendarObj = allCals[calendar];\n    if(calendarObj) return calendarObj;\n\n    calendarObj = allCals[calendar] = calendars.instance(calendar);\n    return calendarObj;\n}\n\nfunction makeAttrs(description) {\n    return Lib.extendFlat({}, attributes, { description: description });\n}\n\nfunction makeTraceAttrsDescription(coord) {\n    return 'Sets the calendar system to use with `' + coord + '` date data.';\n}\n\nvar xAttrs = {\n    xcalendar: makeAttrs(makeTraceAttrsDescription('x'))\n};\n\nvar xyAttrs = Lib.extendFlat({}, xAttrs, {\n    ycalendar: makeAttrs(makeTraceAttrsDescription('y'))\n});\n\nvar xyzAttrs = Lib.extendFlat({}, xyAttrs, {\n    zcalendar: makeAttrs(makeTraceAttrsDescription('z'))\n});\n\nvar axisAttrs = makeAttrs([\n    'Sets the calendar system to use for `range` and `tick0`',\n    'if this is a date axis. This does not set the calendar for',\n    'interpreting data on this axis, that\\'s specified in the trace',\n    'or via the global `layout.calendar`'\n].join(' '));\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'calendars',\n\n    schema: {\n        traces: {\n            scatter: xyAttrs,\n            bar: xyAttrs,\n            box: xyAttrs,\n            heatmap: xyAttrs,\n            contour: xyAttrs,\n            histogram: xyAttrs,\n            histogram2d: xyAttrs,\n            histogram2dcontour: xyAttrs,\n            scatter3d: xyzAttrs,\n            surface: xyzAttrs,\n            mesh3d: xyzAttrs,\n            scattergl: xyAttrs,\n            ohlc: xAttrs,\n            candlestick: xAttrs\n        },\n        layout: {\n            calendar: makeAttrs([\n                'Sets the default calendar system to use for interpreting and',\n                'displaying dates throughout the plot.'\n            ].join(' '))\n        },\n        subplots: {\n            xaxis: {calendar: axisAttrs},\n            yaxis: {calendar: axisAttrs},\n            scene: {\n                xaxis: {calendar: axisAttrs},\n                // TODO: it's actually redundant to include yaxis and zaxis here\n                // because in the scene attributes these are the same object so merging\n                // into one merges into them all. However, I left them in for parity with\n                // cartesian, where yaxis is unused until we Plotschema.get() when we\n                // use its presence or absence to determine whether to delete attributes\n                // from yaxis if they only apply to x (rangeselector/rangeslider)\n                yaxis: {calendar: axisAttrs},\n                zaxis: {calendar: axisAttrs}\n            },\n            polar: {\n                radialaxis: {calendar: axisAttrs}\n            }\n        },\n        transforms: {\n            filter: {\n                valuecalendar: makeAttrs([\n                    'Sets the calendar system to use for `value`, if it is a date.'\n                ].join(' ')),\n                targetcalendar: makeAttrs([\n                    'Sets the calendar system to use for `target`, if it is an',\n                    'array of dates. If `target` is a string (eg *x*) we use the',\n                    'corresponding trace attribute (eg `xcalendar`) if it exists,',\n                    'even if `targetcalendar` is provided.'\n                ].join(' '))\n            }\n        }\n    },\n\n    layoutAttributes: attributes,\n\n    handleDefaults: handleDefaults,\n    handleTraceDefaults: handleTraceDefaults,\n\n    CANONICAL_SUNDAY: CANONICAL_SUNDAY,\n    CANONICAL_TICK: CANONICAL_TICK,\n    DFLTRANGE: DFLTRANGE,\n\n    getCal: getCal,\n    worldCalFmt: worldCalFmt\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"./calendars\":567}],569:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\n// IMPORTANT - default colors should be in hex for compatibility\nexports.defaults = [\n    '#1f77b4',  // muted blue\n    '#ff7f0e',  // safety orange\n    '#2ca02c',  // cooked asparagus green\n    '#d62728',  // brick red\n    '#9467bd',  // muted purple\n    '#8c564b',  // chestnut brown\n    '#e377c2',  // raspberry yogurt pink\n    '#7f7f7f',  // middle gray\n    '#bcbd22',  // curry yellow-green\n    '#17becf'   // blue-teal\n];\n\nexports.defaultLine = '#444';\n\nexports.lightLine = '#eee';\n\nexports.background = '#fff';\n\nexports.borderLine = '#BEC8D9';\n\n// with axis.color and Color.interp we aren't using lightLine\n// itself anymore, instead interpolating between axis.color\n// and the background color using tinycolor.mix. lightFraction\n// gives back exactly lightLine if the other colors are defaults.\nexports.lightFraction = 100 * (0xe - 0x4) / (0xf - 0x4);\n\n},{}],570:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar tinycolor = _dereq_('tinycolor2');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar color = module.exports = {};\n\nvar colorAttrs = _dereq_('./attributes');\ncolor.defaults = colorAttrs.defaults;\nvar defaultLine = color.defaultLine = colorAttrs.defaultLine;\ncolor.lightLine = colorAttrs.lightLine;\nvar background = color.background = colorAttrs.background;\n\n/*\n * tinyRGB: turn a tinycolor into an rgb string, but\n * unlike the built-in tinycolor.toRgbString this never includes alpha\n */\ncolor.tinyRGB = function(tc) {\n    var c = tc.toRgb();\n    return 'rgb(' + Math.round(c.r) + ', ' +\n        Math.round(c.g) + ', ' + Math.round(c.b) + ')';\n};\n\ncolor.rgb = function(cstr) { return color.tinyRGB(tinycolor(cstr)); };\n\ncolor.opacity = function(cstr) { return cstr ? tinycolor(cstr).getAlpha() : 0; };\n\ncolor.addOpacity = function(cstr, op) {\n    var c = tinycolor(cstr).toRgb();\n    return 'rgba(' + Math.round(c.r) + ', ' +\n        Math.round(c.g) + ', ' + Math.round(c.b) + ', ' + op + ')';\n};\n\n// combine two colors into one apparent color\n// if back has transparency or is missing,\n// color.background is assumed behind it\ncolor.combine = function(front, back) {\n    var fc = tinycolor(front).toRgb();\n    if(fc.a === 1) return tinycolor(front).toRgbString();\n\n    var bc = tinycolor(back || background).toRgb(),\n        bcflat = bc.a === 1 ? bc : {\n            r: 255 * (1 - bc.a) + bc.r * bc.a,\n            g: 255 * (1 - bc.a) + bc.g * bc.a,\n            b: 255 * (1 - bc.a) + bc.b * bc.a\n        },\n        fcflat = {\n            r: bcflat.r * (1 - fc.a) + fc.r * fc.a,\n            g: bcflat.g * (1 - fc.a) + fc.g * fc.a,\n            b: bcflat.b * (1 - fc.a) + fc.b * fc.a\n        };\n    return tinycolor(fcflat).toRgbString();\n};\n\n/*\n * Create a color that contrasts with cstr.\n *\n * If cstr is a dark color, we lighten it; if it's light, we darken.\n *\n * If lightAmount / darkAmount are used, we adjust by these percentages,\n * otherwise we go all the way to white or black.\n */\ncolor.contrast = function(cstr, lightAmount, darkAmount) {\n    var tc = tinycolor(cstr);\n\n    if(tc.getAlpha() !== 1) tc = tinycolor(color.combine(cstr, background));\n\n    var newColor = tc.isDark() ?\n        (lightAmount ? tc.lighten(lightAmount) : background) :\n        (darkAmount ? tc.darken(darkAmount) : defaultLine);\n\n    return newColor.toString();\n};\n\ncolor.stroke = function(s, c) {\n    var tc = tinycolor(c);\n    s.style({'stroke': color.tinyRGB(tc), 'stroke-opacity': tc.getAlpha()});\n};\n\ncolor.fill = function(s, c) {\n    var tc = tinycolor(c);\n    s.style({\n        'fill': color.tinyRGB(tc),\n        'fill-opacity': tc.getAlpha()\n    });\n};\n\n// search container for colors with the deprecated rgb(fractions) format\n// and convert them to rgb(0-255 values)\ncolor.clean = function(container) {\n    if(!container || typeof container !== 'object') return;\n\n    var keys = Object.keys(container),\n        i,\n        j,\n        key,\n        val;\n\n    for(i = 0; i < keys.length; i++) {\n        key = keys[i];\n        val = container[key];\n\n        // only sanitize keys that end in \"color\" or \"colorscale\"\n        if(key.substr(key.length - 5) === 'color') {\n            if(Array.isArray(val)) {\n                for(j = 0; j < val.length; j++) val[j] = cleanOne(val[j]);\n            }\n            else container[key] = cleanOne(val);\n        }\n        else if(key.substr(key.length - 10) === 'colorscale' && Array.isArray(val)) {\n            // colorscales have the format [[0, color1], [frac, color2], ... [1, colorN]]\n            for(j = 0; j < val.length; j++) {\n                if(Array.isArray(val[j])) val[j][1] = cleanOne(val[j][1]);\n            }\n        }\n        // recurse into arrays of objects, and plain objects\n        else if(Array.isArray(val)) {\n            var el0 = val[0];\n            if(!Array.isArray(el0) && el0 && typeof el0 === 'object') {\n                for(j = 0; j < val.length; j++) color.clean(val[j]);\n            }\n        }\n        else if(val && typeof val === 'object') color.clean(val);\n    }\n};\n\nfunction cleanOne(val) {\n    if(isNumeric(val) || typeof val !== 'string') return val;\n\n    var valTrim = val.trim();\n    if(valTrim.substr(0, 3) !== 'rgb') return val;\n\n    var match = valTrim.match(/^rgba?\\s*\\(([^()]*)\\)$/);\n    if(!match) return val;\n\n    var parts = match[1].trim().split(/\\s*[\\s,]\\s*/),\n        rgba = valTrim.charAt(3) === 'a' && parts.length === 4;\n    if(!rgba && parts.length !== 3) return val;\n\n    for(var i = 0; i < parts.length; i++) {\n        if(!parts[i].length) return val;\n        parts[i] = Number(parts[i]);\n\n        // all parts must be non-negative numbers\n        if(!(parts[i] >= 0)) return val;\n        // alpha>1 gets clipped to 1\n        if(i === 3) {\n            if(parts[i] > 1) parts[i] = 1;\n        }\n        // r, g, b must be < 1 (ie 1 itself is not allowed)\n        else if(parts[i] >= 1) return val;\n    }\n\n    var rgbStr = Math.round(parts[0] * 255) + ', ' +\n        Math.round(parts[1] * 255) + ', ' +\n        Math.round(parts[2] * 255);\n\n    if(rgba) return 'rgba(' + rgbStr + ', ' + parts[3] + ')';\n    return 'rgb(' + rgbStr + ')';\n}\n\n},{\"./attributes\":569,\"fast-isnumeric\":214,\"tinycolor2\":514}],571:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar axesAttrs = _dereq_('../../plots/cartesian/layout_attributes');\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\n\nmodule.exports = overrideAll({\n// TODO: only right is supported currently\n//     orient: {\n//         valType: 'enumerated',\n//         \n//         values: ['left', 'right', 'top', 'bottom'],\n//         dflt: 'right',\n//         \n//     },\n    thicknessmode: {\n        valType: 'enumerated',\n        values: ['fraction', 'pixels'],\n        \n        dflt: 'pixels',\n        \n    },\n    thickness: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 30,\n        \n    },\n    lenmode: {\n        valType: 'enumerated',\n        values: ['fraction', 'pixels'],\n        \n        dflt: 'fraction',\n        \n    },\n    len: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        \n    },\n    x: {\n        valType: 'number',\n        dflt: 1.02,\n        min: -2,\n        max: 3,\n        \n        \n    },\n    xanchor: {\n        valType: 'enumerated',\n        values: ['left', 'center', 'right'],\n        dflt: 'left',\n        \n        \n    },\n    xpad: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 10,\n        \n    },\n    y: {\n        valType: 'number',\n        \n        dflt: 0.5,\n        min: -2,\n        max: 3,\n        \n    },\n    yanchor: {\n        valType: 'enumerated',\n        values: ['top', 'middle', 'bottom'],\n        \n        dflt: 'middle',\n        \n    },\n    ypad: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 10,\n        \n    },\n    // a possible line around the bar itself\n    outlinecolor: axesAttrs.linecolor,\n    outlinewidth: axesAttrs.linewidth,\n    // Should outlinewidth have {dflt: 0} ?\n    // another possible line outside the padding and tick labels\n    bordercolor: axesAttrs.linecolor,\n    borderwidth: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 0,\n        \n    },\n    bgcolor: {\n        valType: 'color',\n        \n        dflt: 'rgba(0,0,0,0)',\n        \n    },\n    // tick and title properties named and function exactly as in axes\n    tickmode: axesAttrs.tickmode,\n    nticks: axesAttrs.nticks,\n    tick0: axesAttrs.tick0,\n    dtick: axesAttrs.dtick,\n    tickvals: axesAttrs.tickvals,\n    ticktext: axesAttrs.ticktext,\n    ticks: extendFlat({}, axesAttrs.ticks, {dflt: ''}),\n    ticklen: axesAttrs.ticklen,\n    tickwidth: axesAttrs.tickwidth,\n    tickcolor: axesAttrs.tickcolor,\n    showticklabels: axesAttrs.showticklabels,\n    tickfont: fontAttrs({\n        \n    }),\n    tickangle: axesAttrs.tickangle,\n    tickformat: axesAttrs.tickformat,\n    tickformatstops: axesAttrs.tickformatstops,\n    tickprefix: axesAttrs.tickprefix,\n    showtickprefix: axesAttrs.showtickprefix,\n    ticksuffix: axesAttrs.ticksuffix,\n    showticksuffix: axesAttrs.showticksuffix,\n    separatethousands: axesAttrs.separatethousands,\n    exponentformat: axesAttrs.exponentformat,\n    showexponent: axesAttrs.showexponent,\n    title: {\n        valType: 'string',\n        \n        \n    },\n    titlefont: fontAttrs({\n        \n    }),\n    titleside: {\n        valType: 'enumerated',\n        values: ['right', 'top', 'bottom'],\n        \n        dflt: 'top',\n        \n    }\n}, 'colorbars', 'from-root');\n\n},{\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../../plots/cartesian/layout_attributes\":758,\"../../plots/font_attributes\":772}],572:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar drawColorbar = _dereq_('./draw');\n\n/**\n * connectColorbar: create a colorbar from a trace, using its module to\n *   describe the connection.\n *\n * @param {DOM element} gd\n *\n * @param {Array} cd\n *   calcdata entry for this trace. cd[0].trace is the trace itself, and the\n *   colorbar object will be stashed in cd[0].t.cb\n *\n * @param {object|function} moduleOpts\n *   may be a function(gd, cd) to override the standard handling below. If\n *   an object, should have these keys:\n * @param {Optional(string)} moduleOpts.container\n *   name of the container inside the trace where the colorbar and colorscale\n *   attributes live (ie 'marker', 'line') - omit if they're at the trace root.\n * @param {string} moduleOpts.min\n *   name of the attribute holding the value of the minimum color\n * @param {string} moduleOpts.max\n *   name of the attribute holding the value of the maximum color\n * @param {Optional(string)} moduleOpts.vals\n *   name of the attribute holding the (numeric) color data\n *   used only if min/max fail. May be omitted if these are always\n *   pre-calculated.\n */\nmodule.exports = function connectColorbar(gd, cd, moduleOpts) {\n    if(typeof moduleOpts === 'function') return moduleOpts(gd, cd);\n\n    var trace = cd[0].trace;\n    var cbId = 'cb' + trace.uid;\n    var containerName = moduleOpts.container;\n    var container = containerName ? trace[containerName] : trace;\n\n    gd._fullLayout._infolayer.selectAll('.' + cbId).remove();\n    if(!container || !container.showscale) return;\n\n    var cb = cd[0].t.cb = drawColorbar(gd, cbId);\n\n    cb.fillgradient(container.colorscale)\n        .zrange([container[moduleOpts.min], container[moduleOpts.max]])\n        .options(container.colorbar)();\n};\n\n},{\"./draw\":575}],573:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    cn: {\n        colorbar: 'colorbar',\n        cbbg: 'cbbg',\n        cbfill: 'cbfill',\n        cbfills: 'cbfills',\n        cbline: 'cbline',\n        cblines: 'cblines',\n        cbaxis: 'cbaxis',\n        cbtitleunshift: 'cbtitleunshift',\n        cbtitle: 'cbtitle',\n        cboutline: 'cboutline',\n        crisp: 'crisp',\n        jsPlaceholder: 'js-placeholder'\n    }\n};\n\n},{}],574:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Template = _dereq_('../../plot_api/plot_template');\n\nvar handleTickValueDefaults = _dereq_('../../plots/cartesian/tick_value_defaults');\nvar handleTickMarkDefaults = _dereq_('../../plots/cartesian/tick_mark_defaults');\nvar handleTickLabelDefaults = _dereq_('../../plots/cartesian/tick_label_defaults');\n\nvar attributes = _dereq_('./attributes');\n\n\nmodule.exports = function colorbarDefaults(containerIn, containerOut, layout) {\n    var colorbarOut = Template.newContainer(containerOut, 'colorbar'),\n        colorbarIn = containerIn.colorbar || {};\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(colorbarIn, colorbarOut, attributes, attr, dflt);\n    }\n\n    var thicknessmode = coerce('thicknessmode');\n    coerce('thickness', (thicknessmode === 'fraction') ?\n        30 / (layout.width - layout.margin.l - layout.margin.r) :\n        30\n    );\n\n    var lenmode = coerce('lenmode');\n    coerce('len', (lenmode === 'fraction') ?\n        1 :\n        layout.height - layout.margin.t - layout.margin.b\n    );\n\n    coerce('x');\n    coerce('xanchor');\n    coerce('xpad');\n    coerce('y');\n    coerce('yanchor');\n    coerce('ypad');\n    Lib.noneOrAll(colorbarIn, colorbarOut, ['x', 'y']);\n\n    coerce('outlinecolor');\n    coerce('outlinewidth');\n    coerce('bordercolor');\n    coerce('borderwidth');\n    coerce('bgcolor');\n\n    handleTickValueDefaults(colorbarIn, colorbarOut, coerce, 'linear');\n\n    var opts = {outerTicks: false, font: layout.font};\n    handleTickLabelDefaults(colorbarIn, colorbarOut, coerce, 'linear', opts);\n    handleTickMarkDefaults(colorbarIn, colorbarOut, coerce, 'linear', opts);\n\n    coerce('title', layout._dfltTitle.colorbar);\n    Lib.coerceFont(coerce, 'titlefont', layout.font);\n    coerce('titleside');\n};\n\n},{\"../../lib\":696,\"../../plot_api/plot_template\":735,\"../../plots/cartesian/tick_label_defaults\":765,\"../../plots/cartesian/tick_mark_defaults\":766,\"../../plots/cartesian/tick_value_defaults\":767,\"./attributes\":571}],575:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar tinycolor = _dereq_('tinycolor2');\n\nvar Plots = _dereq_('../../plots/plots');\nvar Registry = _dereq_('../../registry');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar dragElement = _dereq_('../dragelement');\nvar Lib = _dereq_('../../lib');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar setCursor = _dereq_('../../lib/setcursor');\nvar Drawing = _dereq_('../drawing');\nvar Color = _dereq_('../color');\nvar Titles = _dereq_('../titles');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar alignmentConstants = _dereq_('../../constants/alignment');\nvar LINE_SPACING = alignmentConstants.LINE_SPACING;\nvar FROM_TL = alignmentConstants.FROM_TL;\nvar FROM_BR = alignmentConstants.FROM_BR;\n\nvar handleAxisDefaults = _dereq_('../../plots/cartesian/axis_defaults');\nvar handleAxisPositionDefaults = _dereq_('../../plots/cartesian/position_defaults');\nvar axisLayoutAttrs = _dereq_('../../plots/cartesian/layout_attributes');\n\nvar attributes = _dereq_('./attributes');\nvar cn = _dereq_('./constants').cn;\n\nmodule.exports = function draw(gd, id) {\n    // opts: options object, containing everything from attributes\n    // plus a few others that are the equivalent of the colorbar \"data\"\n    var opts = {};\n    for(var k in attributes) {\n        opts[k] = null;\n    }\n    // fillcolor can be a d3 scale, domain is z values, range is colors\n    // or leave it out for no fill,\n    // or set to a string constant for single-color fill\n    opts.fillcolor = null;\n    // line.color has the same options as fillcolor\n    opts.line = {color: null, width: null, dash: null};\n    // levels of lines to draw.\n    // note that this DOES NOT determine the extent of the bar\n    // that's given by the domain of fillcolor\n    // (or line.color if no fillcolor domain)\n    opts.levels = {start: null, end: null, size: null};\n    // separate fill levels (for example, heatmap coloring of a\n    // contour map) if this is omitted, fillcolors will be\n    // evaluated halfway between levels\n    opts.filllevels = null;\n    // for continuous colorscales: fill with a gradient instead of explicit levels\n    // value should be the colorscale [[0, c0], [v1, c1], ..., [1, cEnd]]\n    opts.fillgradient = null;\n    // when using a gradient, we need the data range specified separately\n    opts.zrange = null;\n\n    function component() {\n        var fullLayout = gd._fullLayout,\n            gs = fullLayout._size;\n        if((typeof opts.fillcolor !== 'function') &&\n                (typeof opts.line.color !== 'function') &&\n                !opts.fillgradient) {\n            fullLayout._infolayer.selectAll('g.' + id).remove();\n            return;\n        }\n        var zrange = opts.zrange || (d3.extent(((typeof opts.fillcolor === 'function') ?\n            opts.fillcolor : opts.line.color).domain()));\n        var linelevels = [];\n        var filllevels = [];\n        var linecolormap = typeof opts.line.color === 'function' ?\n            opts.line.color : function() { return opts.line.color; };\n        var fillcolormap = typeof opts.fillcolor === 'function' ?\n            opts.fillcolor : function() { return opts.fillcolor; };\n        var l;\n        var i;\n\n        var l0 = opts.levels.end + opts.levels.size / 100,\n            ls = opts.levels.size,\n            zr0 = (1.001 * zrange[0] - 0.001 * zrange[1]),\n            zr1 = (1.001 * zrange[1] - 0.001 * zrange[0]);\n        for(i = 0; i < 1e5; i++) {\n            l = opts.levels.start + i * ls;\n            if(ls > 0 ? (l >= l0) : (l <= l0)) break;\n            if(l > zr0 && l < zr1) linelevels.push(l);\n        }\n\n        if(opts.fillgradient) {\n            filllevels = [0];\n        }\n        else if(typeof opts.fillcolor === 'function') {\n            if(opts.filllevels) {\n                l0 = opts.filllevels.end + opts.filllevels.size / 100;\n                ls = opts.filllevels.size;\n                for(i = 0; i < 1e5; i++) {\n                    l = opts.filllevels.start + i * ls;\n                    if(ls > 0 ? (l >= l0) : (l <= l0)) break;\n                    if(l > zrange[0] && l < zrange[1]) filllevels.push(l);\n                }\n            }\n            else {\n                filllevels = linelevels.map(function(v) {\n                    return v - opts.levels.size / 2;\n                });\n                filllevels.push(filllevels[filllevels.length - 1] +\n                    opts.levels.size);\n            }\n        }\n        else if(opts.fillcolor && typeof opts.fillcolor === 'string') {\n            // doesn't matter what this value is, with a single value\n            // we'll make a single fill rect covering the whole bar\n            filllevels = [0];\n        }\n\n        if(opts.levels.size < 0) {\n            linelevels.reverse();\n            filllevels.reverse();\n        }\n\n        // now make a Plotly Axes object to scale with and draw ticks\n        // TODO: does not support orientation other than right\n\n        // we calculate pixel sizes based on the specified graph size,\n        // not the actual (in case something pushed the margins around)\n        // which is a little odd but avoids an odd iterative effect\n        // when the colorbar itself is pushing the margins.\n        // but then the fractional size is calculated based on the\n        // actual graph size, so that the axes will size correctly.\n        var plotHeight = gs.h,\n            plotWidth = gs.w,\n            thickPx = Math.round(opts.thickness *\n                (opts.thicknessmode === 'fraction' ? plotWidth : 1)),\n            thickFrac = thickPx / gs.w,\n            lenPx = Math.round(opts.len *\n                (opts.lenmode === 'fraction' ? plotHeight : 1)),\n            lenFrac = lenPx / gs.h,\n            xpadFrac = opts.xpad / gs.w,\n            yExtraPx = (opts.borderwidth + opts.outlinewidth) / 2,\n            ypadFrac = opts.ypad / gs.h,\n\n            // x positioning: do it initially just for left anchor,\n            // then fix at the end (since we don't know the width yet)\n            xLeft = Math.round(opts.x * gs.w + opts.xpad),\n            // for dragging... this is getting a little muddled...\n            xLeftFrac = opts.x - thickFrac *\n                ({middle: 0.5, right: 1}[opts.xanchor]||0),\n\n            // y positioning we can do correctly from the start\n            yBottomFrac = opts.y + lenFrac *\n                (({top: -0.5, bottom: 0.5}[opts.yanchor] || 0) - 0.5),\n            yBottomPx = Math.round(gs.h * (1 - yBottomFrac)),\n            yTopPx = yBottomPx - lenPx,\n            titleEl,\n            cbAxisIn = {\n                type: 'linear',\n                range: zrange,\n                tickmode: opts.tickmode,\n                nticks: opts.nticks,\n                tick0: opts.tick0,\n                dtick: opts.dtick,\n                tickvals: opts.tickvals,\n                ticktext: opts.ticktext,\n                ticks: opts.ticks,\n                ticklen: opts.ticklen,\n                tickwidth: opts.tickwidth,\n                tickcolor: opts.tickcolor,\n                showticklabels: opts.showticklabels,\n                tickfont: opts.tickfont,\n                tickangle: opts.tickangle,\n                tickformat: opts.tickformat,\n                exponentformat: opts.exponentformat,\n                separatethousands: opts.separatethousands,\n                showexponent: opts.showexponent,\n                showtickprefix: opts.showtickprefix,\n                tickprefix: opts.tickprefix,\n                showticksuffix: opts.showticksuffix,\n                ticksuffix: opts.ticksuffix,\n                title: opts.title,\n                titlefont: opts.titlefont,\n                showline: true,\n                anchor: 'free',\n                position: 1\n            },\n            cbAxisOut = {\n                type: 'linear',\n                _id: 'y' + id\n            },\n            axisOptions = {\n                letter: 'y',\n                font: fullLayout.font,\n                noHover: true,\n                calendar: fullLayout.calendar  // not really necessary (yet?)\n            };\n\n        // Coerce w.r.t. Axes layoutAttributes:\n        // re-use axes.js logic without updating _fullData\n        function coerce(attr, dflt) {\n            return Lib.coerce(cbAxisIn, cbAxisOut, axisLayoutAttrs, attr, dflt);\n        }\n\n        // Prepare the Plotly axis object\n        handleAxisDefaults(cbAxisIn, cbAxisOut, coerce, axisOptions, fullLayout);\n        handleAxisPositionDefaults(cbAxisIn, cbAxisOut, coerce, axisOptions);\n\n        // position can't go in through supplyDefaults\n        // because that restricts it to [0,1]\n        cbAxisOut.position = opts.x + xpadFrac + thickFrac;\n\n        // save for other callers to access this axis\n        component.axis = cbAxisOut;\n\n        if(['top', 'bottom'].indexOf(opts.titleside) !== -1) {\n            cbAxisOut.titleside = opts.titleside;\n            cbAxisOut.titlex = opts.x + xpadFrac;\n            cbAxisOut.titley = yBottomFrac +\n                (opts.titleside === 'top' ? lenFrac - ypadFrac : ypadFrac);\n        }\n\n        if(opts.line.color && opts.tickmode === 'auto') {\n            cbAxisOut.tickmode = 'linear';\n            cbAxisOut.tick0 = opts.levels.start;\n            var dtick = opts.levels.size;\n            // expand if too many contours, so we don't get too many ticks\n            var autoNtick = Lib.constrain(\n                    (yBottomPx - yTopPx) / 50, 4, 15) + 1,\n                dtFactor = (zrange[1] - zrange[0]) /\n                    ((opts.nticks || autoNtick) * dtick);\n            if(dtFactor > 1) {\n                var dtexp = Math.pow(10, Math.floor(\n                    Math.log(dtFactor) / Math.LN10));\n                dtick *= dtexp * Lib.roundUp(dtFactor / dtexp, [2, 5, 10]);\n                // if the contours are at round multiples, reset tick0\n                // so they're still at round multiples. Otherwise,\n                // keep the first label on the first contour level\n                if((Math.abs(opts.levels.start) /\n                        opts.levels.size + 1e-6) % 1 < 2e-6) {\n                    cbAxisOut.tick0 = 0;\n                }\n            }\n            cbAxisOut.dtick = dtick;\n        }\n\n        // set domain after init, because we may want to\n        // allow it outside [0,1]\n        cbAxisOut.domain = [\n            yBottomFrac + ypadFrac,\n            yBottomFrac + lenFrac - ypadFrac\n        ];\n        cbAxisOut.setScale();\n\n        // now draw the elements\n        var container = Lib.ensureSingle(fullLayout._infolayer, 'g', id, function(s) {\n            s.classed(cn.colorbar, true)\n                .each(function() {\n                    var s = d3.select(this);\n                    s.append('rect').classed(cn.cbbg, true);\n                    s.append('g').classed(cn.cbfills, true);\n                    s.append('g').classed(cn.cblines, true);\n                    s.append('g').classed(cn.cbaxis, true).classed(cn.crisp, true);\n                    s.append('g').classed(cn.cbtitleunshift, true)\n                        .append('g').classed(cn.cbtitle, true);\n                    s.append('rect').classed(cn.cboutline, true);\n                    s.select('.cbtitle').datum(0);\n                });\n        });\n\n        container.attr('transform', 'translate(' + Math.round(gs.l) +\n            ',' + Math.round(gs.t) + ')');\n        // TODO: this opposite transform is a hack until we make it\n        // more rational which items get this offset\n        var titleCont = container.select('.cbtitleunshift')\n            .attr('transform', 'translate(-' +\n                Math.round(gs.l) + ',-' +\n                Math.round(gs.t) + ')');\n\n        cbAxisOut._axislayer = container.select('.cbaxis');\n        var titleHeight = 0;\n        if(['top', 'bottom'].indexOf(opts.titleside) !== -1) {\n            // draw the title so we know how much room it needs\n            // when we squish the axis. This one only applies to\n            // top or bottom titles, not right side.\n            var x = gs.l + (opts.x + xpadFrac) * gs.w,\n                fontSize = cbAxisOut.titlefont.size,\n                y;\n\n            if(opts.titleside === 'top') {\n                y = (1 - (yBottomFrac + lenFrac - ypadFrac)) * gs.h +\n                    gs.t + 3 + fontSize * 0.75;\n            }\n            else {\n                y = (1 - (yBottomFrac + ypadFrac)) * gs.h +\n                    gs.t - 3 - fontSize * 0.25;\n            }\n            drawTitle(cbAxisOut._id + 'title', {\n                attributes: {x: x, y: y, 'text-anchor': 'start'}\n            });\n        }\n\n        function drawAxis() {\n            if(['top', 'bottom'].indexOf(opts.titleside) !== -1) {\n                // squish the axis top to make room for the title\n                var titleGroup = container.select('.cbtitle'),\n                    titleText = titleGroup.select('text'),\n                    titleTrans =\n                        [-opts.outlinewidth / 2, opts.outlinewidth / 2],\n                    mathJaxNode = titleGroup\n                        .select('.h' + cbAxisOut._id + 'title-math-group')\n                        .node(),\n                    lineSize = 15.6;\n                if(titleText.node()) {\n                    lineSize =\n                        parseInt(titleText.node().style.fontSize, 10) * LINE_SPACING;\n                }\n                if(mathJaxNode) {\n                    titleHeight = Drawing.bBox(mathJaxNode).height;\n                    if(titleHeight > lineSize) {\n                        // not entirely sure how mathjax is doing\n                        // vertical alignment, but this seems to work.\n                        titleTrans[1] -= (titleHeight - lineSize) / 2;\n                    }\n                }\n                else if(titleText.node() &&\n                        !titleText.classed(cn.jsPlaceholder)) {\n                    titleHeight = Drawing.bBox(titleText.node()).height;\n                }\n                if(titleHeight) {\n                    // buffer btwn colorbar and title\n                    // TODO: configurable\n                    titleHeight += 5;\n\n                    if(opts.titleside === 'top') {\n                        cbAxisOut.domain[1] -= titleHeight / gs.h;\n                        titleTrans[1] *= -1;\n                    }\n                    else {\n                        cbAxisOut.domain[0] += titleHeight / gs.h;\n                        var nlines = svgTextUtils.lineCount(titleText);\n                        titleTrans[1] += (1 - nlines) * lineSize;\n                    }\n\n                    titleGroup.attr('transform',\n                        'translate(' + titleTrans + ')');\n\n                    cbAxisOut.setScale();\n                }\n            }\n\n            container.selectAll('.cbfills,.cblines')\n                .attr('transform', 'translate(0,' +\n                    Math.round(gs.h * (1 - cbAxisOut.domain[1])) + ')');\n\n            cbAxisOut._axislayer.attr('transform', 'translate(0,' +\n                Math.round(-gs.t) + ')');\n\n            var fills = container.select('.cbfills')\n                .selectAll('rect.cbfill')\n                    .data(filllevels);\n            fills.enter().append('rect')\n                .classed(cn.cbfill, true)\n                .style('stroke', 'none');\n            fills.exit().remove();\n\n            var zBounds = zrange\n                .map(cbAxisOut.c2p)\n                .map(Math.round)\n                .sort(function(a, b) { return a - b; });\n\n            fills.each(function(d, i) {\n                var z = [\n                    (i === 0) ? zrange[0] :\n                        (filllevels[i] + filllevels[i - 1]) / 2,\n                    (i === filllevels.length - 1) ? zrange[1] :\n                        (filllevels[i] + filllevels[i + 1]) / 2\n                ]\n                .map(cbAxisOut.c2p)\n                .map(Math.round);\n\n                // offset the side adjoining the next rectangle so they\n                // overlap, to prevent antialiasing gaps\n                z[1] = Lib.constrain(z[1] + (z[1] > z[0]) ? 1 : -1, zBounds[0], zBounds[1]);\n\n                // Colorbar cannot currently support opacities so we\n                // use an opaque fill even when alpha channels present\n                var fillEl = d3.select(this).attr({\n                    x: xLeft,\n                    width: Math.max(thickPx, 2),\n                    y: d3.min(z),\n                    height: Math.max(d3.max(z) - d3.min(z), 2),\n                });\n\n                if(opts.fillgradient) {\n                    Drawing.gradient(fillEl, gd, id, 'vertical',\n                        opts.fillgradient, 'fill');\n                }\n                else {\n                    // Tinycolor can't handle exponents and\n                    // at this scale, removing it makes no difference.\n                    var colorString = fillcolormap(d).replace('e-', '');\n                    fillEl.attr('fill', tinycolor(colorString).toHexString());\n                }\n            });\n\n            var lines = container.select('.cblines')\n                .selectAll('path.cbline')\n                    .data(opts.line.color && opts.line.width ?\n                        linelevels : []);\n            lines.enter().append('path')\n                .classed(cn.cbline, true);\n            lines.exit().remove();\n            lines.each(function(d) {\n                d3.select(this)\n                    .attr('d', 'M' + xLeft + ',' +\n                        (Math.round(cbAxisOut.c2p(d)) + (opts.line.width / 2) % 1) +\n                        'h' + thickPx)\n                    .call(Drawing.lineGroupStyle,\n                        opts.line.width, linecolormap(d), opts.line.dash);\n            });\n\n            // force full redraw of labels and ticks\n            cbAxisOut._axislayer.selectAll('g.' + cbAxisOut._id + 'tick,path')\n                .remove();\n\n            cbAxisOut._pos = xLeft + thickPx +\n                (opts.outlinewidth||0) / 2 - (opts.ticks === 'outside' ? 1 : 0);\n            cbAxisOut.side = 'right';\n\n            // separate out axis and title drawing,\n            // so we don't need such complicated logic in Titles.draw\n            // if title is on the top or bottom, we've already drawn it\n            // this title call only handles side=right\n            return Lib.syncOrAsync([\n                function() {\n                    return Axes.doTicksSingle(gd, cbAxisOut, true);\n                },\n                function() {\n                    if(['top', 'bottom'].indexOf(opts.titleside) === -1) {\n                        var fontSize = cbAxisOut.titlefont.size,\n                            y = cbAxisOut._offset + cbAxisOut._length / 2,\n                            x = gs.l + (cbAxisOut.position || 0) * gs.w + ((cbAxisOut.side === 'right') ?\n                                10 + fontSize * ((cbAxisOut.showticklabels ? 1 : 0.5)) :\n                                -10 - fontSize * ((cbAxisOut.showticklabels ? 0.5 : 0)));\n\n                        // the 'h' + is a hack to get around the fact that\n                        // convertToTspans rotates any 'y...' class by 90 degrees.\n                        // TODO: find a better way to control this.\n                        drawTitle('h' + cbAxisOut._id + 'title', {\n                            avoid: {\n                                selection: d3.select(gd).selectAll('g.' + cbAxisOut._id + 'tick'),\n                                side: opts.titleside,\n                                offsetLeft: gs.l,\n                                offsetTop: 0,\n                                maxShift: fullLayout.width\n                            },\n                            attributes: {x: x, y: y, 'text-anchor': 'middle'},\n                            transform: {rotate: '-90', offset: 0}\n                        });\n                    }\n                }]);\n        }\n\n        function drawTitle(titleClass, titleOpts) {\n            var trace = getTrace();\n            var propName = 'colorbar.title';\n            var containerName = trace._module.colorbar.container;\n            if(containerName) propName = containerName + '.' + propName;\n\n            var dfltTitleOpts = {\n                propContainer: cbAxisOut,\n                propName: propName,\n                traceIndex: trace.index,\n                placeholder: fullLayout._dfltTitle.colorbar,\n                containerGroup: container.select('.cbtitle')\n            };\n\n            // this class-to-rotate thing with convertToTspans is\n            // getting hackier and hackier... delete groups with the\n            // wrong class (in case earlier the colorbar was drawn on\n            // a different side, I think?)\n            var otherClass = titleClass.charAt(0) === 'h' ?\n                titleClass.substr(1) : ('h' + titleClass);\n            container.selectAll('.' + otherClass + ',.' + otherClass + '-math-group')\n                .remove();\n\n            Titles.draw(gd, titleClass,\n                extendFlat(dfltTitleOpts, titleOpts || {}));\n        }\n\n        function positionCB() {\n            // wait for the axis & title to finish rendering before\n            // continuing positioning\n            // TODO: why are we redrawing multiple times now with this?\n            // I guess autoMargin doesn't like being post-promise?\n            var innerWidth = thickPx + opts.outlinewidth / 2 +\n                    Drawing.bBox(cbAxisOut._axislayer.node()).width;\n            titleEl = titleCont.select('text');\n            if(titleEl.node() && !titleEl.classed(cn.jsPlaceholder)) {\n                var mathJaxNode = titleCont\n                        .select('.h' + cbAxisOut._id + 'title-math-group')\n                        .node(),\n                    titleWidth;\n                if(mathJaxNode &&\n                        ['top', 'bottom'].indexOf(opts.titleside) !== -1) {\n                    titleWidth = Drawing.bBox(mathJaxNode).width;\n                }\n                else {\n                    // note: the formula below works for all titlesides,\n                    // (except for top/bottom mathjax, above)\n                    // but the weird gs.l is because the titleunshift\n                    // transform gets removed by Drawing.bBox\n                    titleWidth =\n                        Drawing.bBox(titleCont.node()).right -\n                        xLeft - gs.l;\n                }\n                innerWidth = Math.max(innerWidth, titleWidth);\n            }\n\n            var outerwidth = 2 * opts.xpad + innerWidth +\n                    opts.borderwidth + opts.outlinewidth / 2,\n                outerheight = yBottomPx - yTopPx;\n\n            container.select('.cbbg').attr({\n                x: xLeft - opts.xpad -\n                    (opts.borderwidth + opts.outlinewidth) / 2,\n                y: yTopPx - yExtraPx,\n                width: Math.max(outerwidth, 2),\n                height: Math.max(outerheight + 2 * yExtraPx, 2)\n            })\n            .call(Color.fill, opts.bgcolor)\n            .call(Color.stroke, opts.bordercolor)\n            .style({'stroke-width': opts.borderwidth});\n\n            container.selectAll('.cboutline').attr({\n                x: xLeft,\n                y: yTopPx + opts.ypad +\n                    (opts.titleside === 'top' ? titleHeight : 0),\n                width: Math.max(thickPx, 2),\n                height: Math.max(outerheight - 2 * opts.ypad - titleHeight, 2)\n            })\n            .call(Color.stroke, opts.outlinecolor)\n            .style({\n                fill: 'None',\n                'stroke-width': opts.outlinewidth\n            });\n\n            // fix positioning for xanchor!='left'\n            var xoffset = ({center: 0.5, right: 1}[opts.xanchor] || 0) *\n                outerwidth;\n            container.attr('transform',\n                'translate(' + (gs.l - xoffset) + ',' + gs.t + ')');\n\n            // auto margin adjustment\n            var marginOpts = {};\n            var tFrac = FROM_TL[opts.yanchor];\n            var bFrac = FROM_BR[opts.yanchor];\n            if(opts.lenmode === 'pixels') {\n                marginOpts.y = opts.y;\n                marginOpts.t = outerheight * tFrac;\n                marginOpts.b = outerheight * bFrac;\n            }\n            else {\n                marginOpts.t = marginOpts.b = 0;\n                marginOpts.yt = opts.y + opts.len * tFrac;\n                marginOpts.yb = opts.y - opts.len * bFrac;\n            }\n\n            var lFrac = FROM_TL[opts.xanchor];\n            var rFrac = FROM_BR[opts.xanchor];\n            if(opts.thicknessmode === 'pixels') {\n                marginOpts.x = opts.x;\n                marginOpts.l = outerwidth * lFrac;\n                marginOpts.r = outerwidth * rFrac;\n            }\n            else {\n                var extraThickness = outerwidth - thickPx;\n                marginOpts.l = extraThickness * lFrac;\n                marginOpts.r = extraThickness * rFrac;\n                marginOpts.xl = opts.x - opts.thickness * lFrac;\n                marginOpts.xr = opts.x + opts.thickness * rFrac;\n            }\n            Plots.autoMargin(gd, id, marginOpts);\n        }\n\n        var cbDone = Lib.syncOrAsync([\n            Plots.previousPromises,\n            drawAxis,\n            Plots.previousPromises,\n            positionCB\n        ], gd);\n\n        if(cbDone && cbDone.then) (gd._promises || []).push(cbDone);\n\n        // dragging...\n        if(gd._context.edits.colorbarPosition) {\n            var t0,\n                xf,\n                yf;\n\n            dragElement.init({\n                element: container.node(),\n                gd: gd,\n                prepFn: function() {\n                    t0 = container.attr('transform');\n                    setCursor(container);\n                },\n                moveFn: function(dx, dy) {\n                    container.attr('transform',\n                        t0 + ' ' + 'translate(' + dx + ',' + dy + ')');\n\n                    xf = dragElement.align(xLeftFrac + (dx / gs.w), thickFrac,\n                        0, 1, opts.xanchor);\n                    yf = dragElement.align(yBottomFrac - (dy / gs.h), lenFrac,\n                        0, 1, opts.yanchor);\n\n                    var csr = dragElement.getCursor(xf, yf,\n                        opts.xanchor, opts.yanchor);\n                    setCursor(container, csr);\n                },\n                doneFn: function() {\n                    setCursor(container);\n\n                    if(xf !== undefined && yf !== undefined) {\n                        Registry.call('restyle',\n                            gd,\n                            {'colorbar.x': xf, 'colorbar.y': yf},\n                            getTrace().index\n                        );\n                    }\n                }\n            });\n        }\n        return cbDone;\n    }\n\n    function getTrace() {\n        var idNum = id.substr(2),\n            i,\n            trace;\n        for(i = 0; i < gd._fullData.length; i++) {\n            trace = gd._fullData[i];\n            if(trace.uid === idNum) return trace;\n        }\n    }\n\n    // setter/getters for every item defined in opts\n    Object.keys(opts).forEach(function(name) {\n        component[name] = function(v) {\n            // getter\n            if(!arguments.length) return opts[name];\n\n            // setter - for multi-part properties,\n            // set only the parts that are provided\n            opts[name] = Lib.isPlainObject(opts[name]) ?\n                 Lib.extendFlat(opts[name], v) :\n                 v;\n\n            return component;\n        };\n    });\n\n    // or use .options to set multiple options at once via a dictionary\n    component.options = function(o) {\n        for(var name in o) {\n            // in case something random comes through\n            // that's not an option, ignore it\n            if(typeof component[name] === 'function') {\n                component[name](o[name]);\n            }\n        }\n        return component;\n    };\n\n    component._opts = opts;\n\n    return component;\n};\n\n},{\"../../constants/alignment\":668,\"../../lib\":696,\"../../lib/extend\":685,\"../../lib/setcursor\":717,\"../../lib/svg_text_utils\":721,\"../../plots/cartesian/axes\":745,\"../../plots/cartesian/axis_defaults\":747,\"../../plots/cartesian/layout_attributes\":758,\"../../plots/cartesian/position_defaults\":761,\"../../plots/plots\":809,\"../../registry\":828,\"../color\":570,\"../dragelement\":592,\"../drawing\":595,\"../titles\":661,\"./attributes\":571,\"./constants\":573,\"d3\":148,\"tinycolor2\":514}],576:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\n\nmodule.exports = function hasColorbar(container) {\n    return Lib.isPlainObject(container.colorbar);\n};\n\n},{\"../../lib\":696}],577:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar palettes = _dereq_('./scales.js');\nvar paletteStr = Object.keys(palettes);\n\nfunction code(s) {\n    return '`' + s + '`';\n}\n\n/**\n * Make colorscale attribute declarations for\n *\n * - colorscale,\n * - (c|z)auto, (c|z)min, (c|z)max,\n * - autocolorscale, reversescale,\n * - showscale (optionally)\n * - color (optionally)\n *\n * @param {string} context (dflt: '', i.e. from trace root):\n *     the container this is in ('', *marker*, *marker.line* etc)\n *\n * @param {object} opts:\n *   - cLetter {string} (dflt: 'c'):\n *     leading letter for 'min', 'max and 'auto' attribute (either 'z' or 'c')\n *\n *   - colorAttr {string} (dflt: 'z' if `cLetter: 'z'`, 'color' if `cLetter: 'c'`):\n *     (for descriptions) sets the name of the color attribute that maps to the colorscale.\n *\n *     N.B. if `colorAttr: 'color'`, we include the `color` declaration here.\n *\n *   - onlyIfNumerical {string} (dflt: false' if `cLetter: 'z'`, true if `cLetter: 'c'`):\n *     (for descriptions) set to true if colorscale attribute only\n *\n *   - colorscaleDflt {string}:\n *     overrides the colorscale dflt\n *\n *   - autoColorDflt {boolean} (dflt true):\n *     normally autocolorscale.dflt is `true`, but pass `false` to override\n *\n *   - noScale {boolean} (dflt: true if `context: 'marker.line'`, false otherwise):\n *     set to `false` to not include showscale attribute (e.g. for 'marker.line')\n *\n *   - showScaleDflt {boolean} (dflt: true if `cLetter: 'z'`, false otherwise)\n *\n *   - editTypeOverride {boolean} (dflt: ''):\n *     most of these attributes already require a recalc, but the ones that do not\n *     have editType *style* or *plot* unless you override (presumably with *calc*)\n *\n * @return {object}\n */\nmodule.exports = function colorScaleAttrs(context, opts) {\n    context = context || '';\n    opts = opts || {};\n\n    var cLetter = opts.cLetter || 'c';\n    var onlyIfNumerical = ('onlyIfNumerical' in opts) ? opts.onlyIfNumerical : Boolean(context);\n    var noScale = ('noScale' in opts) ? opts.noScale : context === 'marker.line';\n    var showScaleDflt = ('showScaleDflt' in opts) ? opts.showScaleDflt : cLetter === 'z';\n    var colorscaleDflt = typeof opts.colorscaleDflt === 'string' ? palettes[opts.colorscaleDflt] : null;\n    var editTypeOverride = opts.editTypeOverride || '';\n    var contextHead = context ? (context + '.') : '';\n\n    var colorAttr, colorAttrFull;\n\n    if('colorAttr' in opts) {\n        colorAttr = opts.colorAttr;\n        colorAttrFull = opts.colorAttr;\n    } else {\n        colorAttr = {z: 'z', c: 'color'}[cLetter];\n        colorAttrFull = 'in ' + code(contextHead + colorAttr);\n    }\n\n    var effectDesc = onlyIfNumerical ?\n        ' Has an effect only if ' + colorAttrFull + 'is set to a numerical array.' :\n        '';\n\n    var auto = cLetter + 'auto';\n    var min = cLetter + 'min';\n    var max = cLetter + 'max';\n    var minFull = code(contextHead + min);\n    var maxFull = code(contextHead + max);\n    var minmaxFull = minFull + ' and ' + maxFull;\n    var autoImpliedEdits = {};\n    autoImpliedEdits[min] = autoImpliedEdits[max] = undefined;\n    var minmaxImpliedEdits = {};\n    minmaxImpliedEdits[auto] = false;\n\n    var attrs = {};\n\n    if(colorAttr === 'color') {\n        attrs.color = {\n            valType: 'color',\n            arrayOk: true,\n            \n            editType: editTypeOverride || 'style',\n            \n        };\n    }\n\n    attrs[auto] = {\n        valType: 'boolean',\n        \n        dflt: true,\n        editType: 'calc',\n        impliedEdits: autoImpliedEdits,\n        \n    };\n\n    attrs[min] = {\n        valType: 'number',\n        \n        dflt: null,\n        editType: editTypeOverride || 'plot',\n        impliedEdits: minmaxImpliedEdits,\n        \n    };\n\n    attrs[max] = {\n        valType: 'number',\n        \n        dflt: null,\n        editType: editTypeOverride || 'plot',\n        impliedEdits: minmaxImpliedEdits,\n        \n    };\n\n    attrs.colorscale = {\n        valType: 'colorscale',\n        \n        editType: 'calc',\n        dflt: colorscaleDflt,\n        impliedEdits: {autocolorscale: false},\n        \n    };\n\n    attrs.autocolorscale = {\n        valType: 'boolean',\n        \n        // gets overrode in 'heatmap' & 'surface' for backwards comp.\n        dflt: opts.autoColorDflt === false ? false : true,\n        editType: 'calc',\n        impliedEdits: {colorscale: undefined},\n        \n    };\n\n    attrs.reversescale = {\n        valType: 'boolean',\n        \n        dflt: false,\n        editType: 'calc',\n        \n    };\n\n    if(!noScale) {\n        attrs.showscale = {\n            valType: 'boolean',\n            \n            dflt: showScaleDflt,\n            editType: 'calc',\n            \n        };\n    }\n\n    return attrs;\n};\n\n},{\"./scales.js\":589}],578:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar scales = _dereq_('./scales');\nvar flipScale = _dereq_('./flip_scale');\n\n\nmodule.exports = function calc(trace, vals, containerStr, cLetter) {\n    var container = trace;\n    var inputContainer = trace._input;\n    var fullInputContainer = trace._fullInput;\n\n    // set by traces with groupby transforms\n    var updateStyle = trace.updateStyle;\n\n    function doUpdate(attr, inputVal, fullVal) {\n        if(fullVal === undefined) fullVal = inputVal;\n\n        if(updateStyle) {\n            updateStyle(trace._input, containerStr ? (containerStr + '.' + attr) : attr, inputVal);\n        }\n        else {\n            inputContainer[attr] = inputVal;\n        }\n\n        container[attr] = fullVal;\n        if(fullInputContainer && (trace !== trace._fullInput)) {\n            if(updateStyle) {\n                updateStyle(trace._fullInput, containerStr ? (containerStr + '.' + attr) : attr, fullVal);\n            }\n            else {\n                fullInputContainer[attr] = fullVal;\n            }\n        }\n    }\n\n    if(containerStr) {\n        container = Lib.nestedProperty(container, containerStr).get();\n        inputContainer = Lib.nestedProperty(inputContainer, containerStr).get();\n        fullInputContainer = Lib.nestedProperty(fullInputContainer, containerStr).get() || {};\n    }\n\n    var autoAttr = cLetter + 'auto';\n    var minAttr = cLetter + 'min';\n    var maxAttr = cLetter + 'max';\n    var auto = container[autoAttr];\n    var min = container[minAttr];\n    var max = container[maxAttr];\n    var scl = container.colorscale;\n\n    if(auto !== false || min === undefined) {\n        min = Lib.aggNums(Math.min, null, vals);\n    }\n\n    if(auto !== false || max === undefined) {\n        max = Lib.aggNums(Math.max, null, vals);\n    }\n\n    if(min === max) {\n        min -= 0.5;\n        max += 0.5;\n    }\n\n    doUpdate(minAttr, min);\n    doUpdate(maxAttr, max);\n\n    /*\n     * If auto was explicitly false but min or max was missing,\n     * we filled in the missing piece here but later the trace does\n     * not look auto.\n     * Otherwise make sure the trace still looks auto as far as later\n     * changes are concerned.\n     */\n    doUpdate(autoAttr, (auto !== false || (min === undefined && max === undefined)));\n\n    if(container.autocolorscale) {\n        if(min * max < 0) scl = scales.RdBu;\n        else if(min >= 0) scl = scales.Reds;\n        else scl = scales.Blues;\n\n        // reversescale is handled at the containerOut level\n        doUpdate('colorscale', scl, container.reversescale ? flipScale(scl) : scl);\n\n        // We pushed a colorscale back to input, which will change the default autocolorscale next time\n        // to avoid spurious redraws from Plotly.react, update resulting autocolorscale now\n        // This is a conscious decision so that changing the data later does not unexpectedly\n        // give you a new colorscale\n        if(!inputContainer.autocolorscale) {\n            doUpdate('autocolorscale', false);\n        }\n    }\n};\n\n},{\"../../lib\":696,\"./flip_scale\":582,\"./scales\":589}],579:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scales = _dereq_('./scales');\n\n\nmodule.exports = scales.RdBu;\n\n},{\"./scales\":589}],580:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\n\nvar hasColorbar = _dereq_('../colorbar/has_colorbar');\nvar colorbarDefaults = _dereq_('../colorbar/defaults');\nvar isValidScale = _dereq_('./is_valid_scale');\nvar flipScale = _dereq_('./flip_scale');\n\n\nmodule.exports = function colorScaleDefaults(traceIn, traceOut, layout, coerce, opts) {\n    var prefix = opts.prefix,\n        cLetter = opts.cLetter,\n        containerStr = prefix.slice(0, prefix.length - 1),\n        containerIn = prefix ?\n            Lib.nestedProperty(traceIn, containerStr).get() || {} :\n            traceIn,\n        containerOut = prefix ?\n            Lib.nestedProperty(traceOut, containerStr).get() || {} :\n            traceOut,\n        minIn = containerIn[cLetter + 'min'],\n        maxIn = containerIn[cLetter + 'max'],\n        sclIn = containerIn.colorscale;\n\n    var validMinMax = isNumeric(minIn) && isNumeric(maxIn) && (minIn < maxIn);\n    coerce(prefix + cLetter + 'auto', !validMinMax);\n    coerce(prefix + cLetter + 'min');\n    coerce(prefix + cLetter + 'max');\n\n    // handles both the trace case (autocolorscale is false by default) and\n    // the marker and marker.line case (autocolorscale is true by default)\n    var autoColorscaleDflt;\n    if(sclIn !== undefined) autoColorscaleDflt = !isValidScale(sclIn);\n    coerce(prefix + 'autocolorscale', autoColorscaleDflt);\n    var sclOut = coerce(prefix + 'colorscale');\n\n    // reversescale is handled at the containerOut level\n    var reverseScale = coerce(prefix + 'reversescale');\n    if(reverseScale) containerOut.colorscale = flipScale(sclOut);\n\n    // ... until Scatter.colorbar can handle marker line colorbars\n    if(prefix === 'marker.line.') return;\n\n    if(!opts.noScale) {\n        // handles both the trace case where the dflt is listed in attributes and\n        // the marker case where the dflt is determined by hasColorbar\n        var showScaleDflt;\n        if(prefix) showScaleDflt = hasColorbar(containerIn);\n\n        var showScale = coerce(prefix + 'showscale', showScaleDflt);\n        if(showScale) colorbarDefaults(containerIn, containerOut, layout);\n    }\n};\n\n},{\"../../lib\":696,\"../colorbar/defaults\":574,\"../colorbar/has_colorbar\":576,\"./flip_scale\":582,\"./is_valid_scale\":586,\"fast-isnumeric\":214}],581:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n/**\n * Extract colorscale into numeric domain and color range.\n *\n * @param {array} scl colorscale array of arrays\n * @param {number} cmin minimum color value (used to clamp scale)\n * @param {number} cmax maximum color value (used to clamp scale)\n */\nmodule.exports = function extractScale(scl, cmin, cmax) {\n    var N = scl.length,\n        domain = new Array(N),\n        range = new Array(N);\n\n    for(var i = 0; i < N; i++) {\n        var si = scl[i];\n\n        domain[i] = cmin + si[0] * (cmax - cmin);\n        range[i] = si[1];\n    }\n\n    return {\n        domain: domain,\n        range: range\n    };\n};\n\n},{}],582:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = function flipScale(scl) {\n    var N = scl.length,\n        sclNew = new Array(N),\n        si;\n\n    for(var i = N - 1, j = 0; i >= 0; i--, j++) {\n        si = scl[i];\n        sclNew[j] = [1 - si[0], si[1]];\n    }\n\n    return sclNew;\n};\n\n},{}],583:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar scales = _dereq_('./scales');\nvar defaultScale = _dereq_('./default_scale');\nvar isValidScaleArray = _dereq_('./is_valid_scale_array');\n\n\nmodule.exports = function getScale(scl, dflt) {\n    if(!dflt) dflt = defaultScale;\n    if(!scl) return dflt;\n\n    function parseScale() {\n        try {\n            scl = scales[scl] || JSON.parse(scl);\n        }\n        catch(e) {\n            scl = dflt;\n        }\n    }\n\n    if(typeof scl === 'string') {\n        parseScale();\n        // occasionally scl is double-JSON encoded...\n        if(typeof scl === 'string') parseScale();\n    }\n\n    if(!isValidScaleArray(scl)) return dflt;\n    return scl;\n};\n\n},{\"./default_scale\":579,\"./is_valid_scale_array\":587,\"./scales\":589}],584:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar Lib = _dereq_('../../lib');\nvar isValidScale = _dereq_('./is_valid_scale');\n\nmodule.exports = function hasColorscale(trace, containerStr) {\n    var container = containerStr ?\n        Lib.nestedProperty(trace, containerStr).get() || {} :\n        trace;\n    var color = container.color;\n\n    var isArrayWithOneNumber = false;\n    if(Lib.isArrayOrTypedArray(color)) {\n        for(var i = 0; i < color.length; i++) {\n            if(isNumeric(color[i])) {\n                isArrayWithOneNumber = true;\n                break;\n            }\n        }\n    }\n\n    return (\n        Lib.isPlainObject(container) && (\n            isArrayWithOneNumber ||\n            container.showscale === true ||\n            (isNumeric(container.cmin) && isNumeric(container.cmax)) ||\n            isValidScale(container.colorscale) ||\n            Lib.isPlainObject(container.colorbar)\n        )\n    );\n};\n\n},{\"../../lib\":696,\"./is_valid_scale\":586,\"fast-isnumeric\":214}],585:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nexports.scales = _dereq_('./scales');\n\nexports.defaultScale = _dereq_('./default_scale');\n\nexports.attributes = _dereq_('./attributes');\n\nexports.handleDefaults = _dereq_('./defaults');\n\nexports.calc = _dereq_('./calc');\n\nexports.hasColorscale = _dereq_('./has_colorscale');\n\nexports.isValidScale = _dereq_('./is_valid_scale');\n\nexports.getScale = _dereq_('./get_scale');\n\nexports.flipScale = _dereq_('./flip_scale');\n\nexports.extractScale = _dereq_('./extract_scale');\n\nexports.makeColorScaleFunc = _dereq_('./make_color_scale_func');\n\n},{\"./attributes\":577,\"./calc\":578,\"./default_scale\":579,\"./defaults\":580,\"./extract_scale\":581,\"./flip_scale\":582,\"./get_scale\":583,\"./has_colorscale\":584,\"./is_valid_scale\":586,\"./make_color_scale_func\":588,\"./scales\":589}],586:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar scales = _dereq_('./scales');\nvar isValidScaleArray = _dereq_('./is_valid_scale_array');\n\n\nmodule.exports = function isValidScale(scl) {\n    if(scales[scl] !== undefined) return true;\n    else return isValidScaleArray(scl);\n};\n\n},{\"./is_valid_scale_array\":587,\"./scales\":589}],587:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar tinycolor = _dereq_('tinycolor2');\n\n\nmodule.exports = function isValidScaleArray(scl) {\n    var highestVal = 0;\n\n    if(!Array.isArray(scl) || scl.length < 2) return false;\n\n    if(!scl[0] || !scl[scl.length - 1]) return false;\n\n    if(+scl[0][0] !== 0 || +scl[scl.length - 1][0] !== 1) return false;\n\n    for(var i = 0; i < scl.length; i++) {\n        var si = scl[i];\n\n        if(si.length !== 2 || +si[0] < highestVal || !tinycolor(si[1]).isValid()) {\n            return false;\n        }\n\n        highestVal = +si[0];\n    }\n\n    return true;\n};\n\n},{\"tinycolor2\":514}],588:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar tinycolor = _dereq_('tinycolor2');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Color = _dereq_('../color');\n\n/**\n * General colorscale function generator.\n *\n * @param {object} specs output of Colorscale.extractScale or precomputed domain, range.\n *  - domain {array}\n *  - range {array}\n *\n * @param {object} opts\n *  - noNumericCheck {boolean} if true, scale func bypasses numeric checks\n *  - returnArray {boolean} if true, scale func return 4-item array instead of color strings\n *\n * @return {function}\n */\nmodule.exports = function makeColorScaleFunc(specs, opts) {\n    opts = opts || {};\n\n    var domain = specs.domain,\n        range = specs.range,\n        N = range.length,\n        _range = new Array(N);\n\n    for(var i = 0; i < N; i++) {\n        var rgba = tinycolor(range[i]).toRgb();\n        _range[i] = [rgba.r, rgba.g, rgba.b, rgba.a];\n    }\n\n    var _sclFunc = d3.scale.linear()\n        .domain(domain)\n        .range(_range)\n        .clamp(true);\n\n    var noNumericCheck = opts.noNumericCheck,\n        returnArray = opts.returnArray,\n        sclFunc;\n\n    if(noNumericCheck && returnArray) {\n        sclFunc = _sclFunc;\n    }\n    else if(noNumericCheck) {\n        sclFunc = function(v) {\n            return colorArray2rbga(_sclFunc(v));\n        };\n    }\n    else if(returnArray) {\n        sclFunc = function(v) {\n            if(isNumeric(v)) return _sclFunc(v);\n            else if(tinycolor(v).isValid()) return v;\n            else return Color.defaultLine;\n        };\n    }\n    else {\n        sclFunc = function(v) {\n            if(isNumeric(v)) return colorArray2rbga(_sclFunc(v));\n            else if(tinycolor(v).isValid()) return v;\n            else return Color.defaultLine;\n        };\n    }\n\n    // colorbar draw looks into the d3 scale closure for domain and range\n\n    sclFunc.domain = _sclFunc.domain;\n\n    sclFunc.range = function() { return range; };\n\n    return sclFunc;\n};\n\nfunction colorArray2rbga(colorArray) {\n    var colorObj = {\n        r: colorArray[0],\n        g: colorArray[1],\n        b: colorArray[2],\n        a: colorArray[3]\n    };\n\n    return tinycolor(colorObj).toRgbString();\n}\n\n},{\"../color\":570,\"d3\":148,\"fast-isnumeric\":214,\"tinycolor2\":514}],589:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n    'Greys': [\n        [0, 'rgb(0,0,0)'], [1, 'rgb(255,255,255)']\n    ],\n\n    'YlGnBu': [\n        [0, 'rgb(8,29,88)'], [0.125, 'rgb(37,52,148)'],\n        [0.25, 'rgb(34,94,168)'], [0.375, 'rgb(29,145,192)'],\n        [0.5, 'rgb(65,182,196)'], [0.625, 'rgb(127,205,187)'],\n        [0.75, 'rgb(199,233,180)'], [0.875, 'rgb(237,248,217)'],\n        [1, 'rgb(255,255,217)']\n    ],\n\n    'Greens': [\n        [0, 'rgb(0,68,27)'], [0.125, 'rgb(0,109,44)'],\n        [0.25, 'rgb(35,139,69)'], [0.375, 'rgb(65,171,93)'],\n        [0.5, 'rgb(116,196,118)'], [0.625, 'rgb(161,217,155)'],\n        [0.75, 'rgb(199,233,192)'], [0.875, 'rgb(229,245,224)'],\n        [1, 'rgb(247,252,245)']\n    ],\n\n    'YlOrRd': [\n        [0, 'rgb(128,0,38)'], [0.125, 'rgb(189,0,38)'],\n        [0.25, 'rgb(227,26,28)'], [0.375, 'rgb(252,78,42)'],\n        [0.5, 'rgb(253,141,60)'], [0.625, 'rgb(254,178,76)'],\n        [0.75, 'rgb(254,217,118)'], [0.875, 'rgb(255,237,160)'],\n        [1, 'rgb(255,255,204)']\n    ],\n\n    'Bluered': [\n        [0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']\n    ],\n\n    // modified RdBu based on\n    // www.sandia.gov/~kmorel/documents/ColorMaps/ColorMapsExpanded.pdf\n    'RdBu': [\n        [0, 'rgb(5,10,172)'], [0.35, 'rgb(106,137,247)'],\n        [0.5, 'rgb(190,190,190)'], [0.6, 'rgb(220,170,132)'],\n        [0.7, 'rgb(230,145,90)'], [1, 'rgb(178,10,28)']\n    ],\n\n    // Scale for non-negative numeric values\n    'Reds': [\n        [0, 'rgb(220,220,220)'], [0.2, 'rgb(245,195,157)'],\n        [0.4, 'rgb(245,160,105)'], [1, 'rgb(178,10,28)']\n    ],\n\n    // Scale for non-positive numeric values\n    'Blues': [\n        [0, 'rgb(5,10,172)'], [0.35, 'rgb(40,60,190)'],\n        [0.5, 'rgb(70,100,245)'], [0.6, 'rgb(90,120,245)'],\n        [0.7, 'rgb(106,137,247)'], [1, 'rgb(220,220,220)']\n    ],\n\n    'Picnic': [\n        [0, 'rgb(0,0,255)'], [0.1, 'rgb(51,153,255)'],\n        [0.2, 'rgb(102,204,255)'], [0.3, 'rgb(153,204,255)'],\n        [0.4, 'rgb(204,204,255)'], [0.5, 'rgb(255,255,255)'],\n        [0.6, 'rgb(255,204,255)'], [0.7, 'rgb(255,153,255)'],\n        [0.8, 'rgb(255,102,204)'], [0.9, 'rgb(255,102,102)'],\n        [1, 'rgb(255,0,0)']\n    ],\n\n    'Rainbow': [\n        [0, 'rgb(150,0,90)'], [0.125, 'rgb(0,0,200)'],\n        [0.25, 'rgb(0,25,255)'], [0.375, 'rgb(0,152,255)'],\n        [0.5, 'rgb(44,255,150)'], [0.625, 'rgb(151,255,0)'],\n        [0.75, 'rgb(255,234,0)'], [0.875, 'rgb(255,111,0)'],\n        [1, 'rgb(255,0,0)']\n    ],\n\n    'Portland': [\n        [0, 'rgb(12,51,131)'], [0.25, 'rgb(10,136,186)'],\n        [0.5, 'rgb(242,211,56)'], [0.75, 'rgb(242,143,56)'],\n        [1, 'rgb(217,30,30)']\n    ],\n\n    'Jet': [\n        [0, 'rgb(0,0,131)'], [0.125, 'rgb(0,60,170)'],\n        [0.375, 'rgb(5,255,255)'], [0.625, 'rgb(255,255,0)'],\n        [0.875, 'rgb(250,0,0)'], [1, 'rgb(128,0,0)']\n    ],\n\n    'Hot': [\n        [0, 'rgb(0,0,0)'], [0.3, 'rgb(230,0,0)'],\n        [0.6, 'rgb(255,210,0)'], [1, 'rgb(255,255,255)']\n    ],\n\n    'Blackbody': [\n        [0, 'rgb(0,0,0)'], [0.2, 'rgb(230,0,0)'],\n        [0.4, 'rgb(230,210,0)'], [0.7, 'rgb(255,255,255)'],\n        [1, 'rgb(160,200,255)']\n    ],\n\n    'Earth': [\n        [0, 'rgb(0,0,130)'], [0.1, 'rgb(0,180,180)'],\n        [0.2, 'rgb(40,210,40)'], [0.4, 'rgb(230,230,50)'],\n        [0.6, 'rgb(120,70,20)'], [1, 'rgb(255,255,255)']\n    ],\n\n    'Electric': [\n        [0, 'rgb(0,0,0)'], [0.15, 'rgb(30,0,100)'],\n        [0.4, 'rgb(120,0,100)'], [0.6, 'rgb(160,90,0)'],\n        [0.8, 'rgb(230,200,0)'], [1, 'rgb(255,250,220)']\n    ],\n\n    'Viridis': [\n        [0, '#440154'], [0.06274509803921569, '#48186a'],\n        [0.12549019607843137, '#472d7b'], [0.18823529411764706, '#424086'],\n        [0.25098039215686274, '#3b528b'], [0.3137254901960784, '#33638d'],\n        [0.3764705882352941, '#2c728e'], [0.4392156862745098, '#26828e'],\n        [0.5019607843137255, '#21918c'], [0.5647058823529412, '#1fa088'],\n        [0.6274509803921569, '#28ae80'], [0.6901960784313725, '#3fbc73'],\n        [0.7529411764705882, '#5ec962'], [0.8156862745098039, '#84d44b'],\n        [0.8784313725490196, '#addc30'], [0.9411764705882353, '#d8e219'],\n        [1, '#fde725']\n    ],\n\n    'Cividis': [\n        [0.000000, 'rgb(0,32,76)'], [0.058824, 'rgb(0,42,102)'],\n        [0.117647, 'rgb(0,52,110)'], [0.176471, 'rgb(39,63,108)'],\n        [0.235294, 'rgb(60,74,107)'], [0.294118, 'rgb(76,85,107)'],\n        [0.352941, 'rgb(91,95,109)'], [0.411765, 'rgb(104,106,112)'],\n        [0.470588, 'rgb(117,117,117)'], [0.529412, 'rgb(131,129,120)'],\n        [0.588235, 'rgb(146,140,120)'], [0.647059, 'rgb(161,152,118)'],\n        [0.705882, 'rgb(176,165,114)'], [0.764706, 'rgb(192,177,109)'],\n        [0.823529, 'rgb(209,191,102)'], [0.882353, 'rgb(225,204,92)'],\n        [0.941176, 'rgb(243,219,79)'], [1.000000, 'rgb(255,233,69)']\n    ]\n};\n\n},{}],590:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\n// for automatic alignment on dragging, <1/3 means left align,\n// >2/3 means right, and between is center. Pick the right fraction\n// based on where you are, and return the fraction corresponding to\n// that position on the object\nmodule.exports = function align(v, dv, v0, v1, anchor) {\n    var vmin = (v - v0) / (v1 - v0),\n        vmax = vmin + dv / (v1 - v0),\n        vc = (vmin + vmax) / 2;\n\n    // explicitly specified anchor\n    if(anchor === 'left' || anchor === 'bottom') return vmin;\n    if(anchor === 'center' || anchor === 'middle') return vc;\n    if(anchor === 'right' || anchor === 'top') return vmax;\n\n    // automatic based on position\n    if(vmin < (2 / 3) - vc) return vmin;\n    if(vmax > (4 / 3) - vc) return vmax;\n    return vc;\n};\n\n},{}],591:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\n\n// set cursors pointing toward the closest corner/side,\n// to indicate alignment\n// x and y are 0-1, fractions of the plot area\nvar cursorset = [\n    ['sw-resize', 's-resize', 'se-resize'],\n    ['w-resize', 'move', 'e-resize'],\n    ['nw-resize', 'n-resize', 'ne-resize']\n];\n\nmodule.exports = function getCursor(x, y, xanchor, yanchor) {\n    if(xanchor === 'left') x = 0;\n    else if(xanchor === 'center') x = 1;\n    else if(xanchor === 'right') x = 2;\n    else x = Lib.constrain(Math.floor(x * 3), 0, 2);\n\n    if(yanchor === 'bottom') y = 0;\n    else if(yanchor === 'middle') y = 1;\n    else if(yanchor === 'top') y = 2;\n    else y = Lib.constrain(Math.floor(y * 3), 0, 2);\n\n    return cursorset[y][x];\n};\n\n},{\"../../lib\":696}],592:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar mouseOffset = _dereq_('mouse-event-offset');\nvar hasHover = _dereq_('has-hover');\nvar supportsPassive = _dereq_('has-passive-events');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\n\nvar constants = _dereq_('../../plots/cartesian/constants');\nvar interactConstants = _dereq_('../../constants/interactions');\n\nvar dragElement = module.exports = {};\n\ndragElement.align = _dereq_('./align');\ndragElement.getCursor = _dereq_('./cursor');\n\nvar unhover = _dereq_('./unhover');\ndragElement.unhover = unhover.wrapped;\ndragElement.unhoverRaw = unhover.raw;\n\n\n/**\n * Abstracts click & drag interactions\n *\n * During the interaction, a \"coverSlip\" element - a transparent\n * div covering the whole page - is created, which has two key effects:\n * - Lets you drag beyond the boundaries of the plot itself without\n *   dropping (but if you drag all the way out of the browser window the\n *   interaction will end)\n * - Freezes the cursor: whatever mouse cursor the drag element had when the\n *   interaction started gets copied to the coverSlip for use until mouseup\n *\n * If the user executes a drag bigger than MINDRAG, callbacks will fire as:\n *      prepFn, moveFn (1 or more times), doneFn\n * If the user does not drag enough, prepFn and clickFn will fire.\n *\n * Note: If you cancel contextmenu, clickFn will fire even with a right click\n * (unlike native events) so you'll get a `plotly_click` event. Cancel context eg:\n *    gd.addEventListener('contextmenu', function(e) { e.preventDefault(); });\n * TODO: we should probably turn this into a `config` parameter, so we can fix it\n * such that if you *don't* cancel contextmenu, we can prevent partial drags, which\n * put you in a weird state.\n *\n * If the user clicks multiple times quickly, clickFn will fire each time\n * but numClicks will increase to help you recognize doubleclicks.\n *\n * @param {object} options with keys:\n *      element (required) the DOM element to drag\n *      prepFn (optional) function(event, startX, startY)\n *          executed on mousedown\n *          startX and startY are the clientX and clientY pixel position\n *          of the mousedown event\n *      moveFn (optional) function(dx, dy)\n *          executed on move, ONLY after we've exceeded MINDRAG\n *          (we keep executing moveFn if you move back to where you started)\n *          dx and dy are the net pixel offset of the drag,\n *          dragged is true/false, has the mouse moved enough to\n *          constitute a drag\n *      doneFn (optional) function(e)\n *          executed on mouseup, ONLY if we exceeded MINDRAG (so you can be\n *          sure that moveFn has been called at least once)\n *          numClicks is how many clicks we've registered within\n *          a doubleclick time\n *          e is the original mouseup event\n *      clickFn (optional) function(numClicks, e)\n *          executed on mouseup if we have NOT exceeded MINDRAG (ie moveFn\n *          has not been called at all)\n *          numClicks is how many clicks we've registered within\n *          a doubleclick time\n *          e is the original mousedown event\n *      clampFn (optional, function(dx, dy) return [dx2, dy2])\n *          Provide custom clamping function for small displacements.\n *          By default, clamping is done using `minDrag` to x and y displacements\n *          independently.\n */\ndragElement.init = function init(options) {\n    var gd = options.gd;\n    var numClicks = 1;\n    var DBLCLICKDELAY = interactConstants.DBLCLICKDELAY;\n    var element = options.element;\n\n    var startX,\n        startY,\n        newMouseDownTime,\n        cursor,\n        dragCover,\n        initialEvent,\n        initialTarget,\n        rightClick;\n\n    if(!gd._mouseDownTime) gd._mouseDownTime = 0;\n\n    element.style.pointerEvents = 'all';\n\n    element.onmousedown = onStart;\n\n    if(!supportsPassive) {\n        element.ontouchstart = onStart;\n    }\n    else {\n        if(element._ontouchstart) {\n            element.removeEventListener('touchstart', element._ontouchstart);\n        }\n        element._ontouchstart = onStart;\n        element.addEventListener('touchstart', onStart, {passive: false});\n    }\n\n    function _clampFn(dx, dy, minDrag) {\n        if(Math.abs(dx) < minDrag) dx = 0;\n        if(Math.abs(dy) < minDrag) dy = 0;\n        return [dx, dy];\n    }\n\n    var clampFn = options.clampFn || _clampFn;\n\n    function onStart(e) {\n        e.preventDefault();\n\n        // make dragging and dragged into properties of gd\n        // so that others can look at and modify them\n        gd._dragged = false;\n        gd._dragging = true;\n        var offset = pointerOffset(e);\n        startX = offset[0];\n        startY = offset[1];\n        initialTarget = e.target;\n        initialEvent = e;\n        rightClick = e.buttons === 2 || e.ctrlKey;\n\n        // fix Fx.hover for touch events\n        if(typeof e.clientX === 'undefined' && typeof e.clientY === 'undefined') {\n            e.clientX = startX;\n            e.clientY = startY;\n        }\n\n        newMouseDownTime = (new Date()).getTime();\n        if(newMouseDownTime - gd._mouseDownTime < DBLCLICKDELAY) {\n            // in a click train\n            numClicks += 1;\n        }\n        else {\n            // new click train\n            numClicks = 1;\n            gd._mouseDownTime = newMouseDownTime;\n        }\n\n        if(options.prepFn) options.prepFn(e, startX, startY);\n\n        if(hasHover && !rightClick) {\n            dragCover = coverSlip();\n            dragCover.style.cursor = window.getComputedStyle(element).cursor;\n        }\n        else if(!hasHover) {\n            // document acts as a dragcover for mobile, bc we can't create dragcover dynamically\n            dragCover = document;\n            cursor = window.getComputedStyle(document.documentElement).cursor;\n            document.documentElement.style.cursor = window.getComputedStyle(element).cursor;\n        }\n\n        document.addEventListener('mousemove', onMove);\n        document.addEventListener('mouseup', onDone);\n        document.addEventListener('touchmove', onMove);\n        document.addEventListener('touchend', onDone);\n\n        return;\n    }\n\n    function onMove(e) {\n        e.preventDefault();\n\n        var offset = pointerOffset(e);\n        var minDrag = options.minDrag || constants.MINDRAG;\n        var dxdy = clampFn(offset[0] - startX, offset[1] - startY, minDrag);\n        var dx = dxdy[0];\n        var dy = dxdy[1];\n\n        if(dx || dy) {\n            gd._dragged = true;\n            dragElement.unhover(gd);\n        }\n\n        if(gd._dragged && options.moveFn && !rightClick) options.moveFn(dx, dy);\n\n        return;\n    }\n\n    function onDone(e) {\n        document.removeEventListener('mousemove', onMove);\n        document.removeEventListener('mouseup', onDone);\n        document.removeEventListener('touchmove', onMove);\n        document.removeEventListener('touchend', onDone);\n\n        e.preventDefault();\n\n        if(hasHover) {\n            Lib.removeElement(dragCover);\n        }\n        else if(cursor) {\n            dragCover.documentElement.style.cursor = cursor;\n            cursor = null;\n        }\n\n        if(!gd._dragging) {\n            gd._dragged = false;\n            return;\n        }\n        gd._dragging = false;\n\n        // don't count as a dblClick unless the mouseUp is also within\n        // the dblclick delay\n        if((new Date()).getTime() - gd._mouseDownTime > DBLCLICKDELAY) {\n            numClicks = Math.max(numClicks - 1, 1);\n        }\n\n        if(gd._dragged) {\n            if(options.doneFn) options.doneFn();\n        }\n        else {\n            if(options.clickFn) options.clickFn(numClicks, initialEvent);\n\n            // If we haven't dragged, this should be a click. But because of the\n            // coverSlip changing the element, the natural system might not generate one,\n            // so we need to make our own. But right clicks don't normally generate\n            // click events, only contextmenu events, which happen on mousedown.\n            if(!rightClick) {\n                var e2;\n\n                try {\n                    e2 = new MouseEvent('click', e);\n                }\n                catch(err) {\n                    var offset = pointerOffset(e);\n                    e2 = document.createEvent('MouseEvents');\n                    e2.initMouseEvent('click',\n                        e.bubbles, e.cancelable,\n                        e.view, e.detail,\n                        e.screenX, e.screenY,\n                        offset[0], offset[1],\n                        e.ctrlKey, e.altKey, e.shiftKey, e.metaKey,\n                        e.button, e.relatedTarget);\n                }\n\n                initialTarget.dispatchEvent(e2);\n            }\n        }\n\n        finishDrag(gd);\n\n        gd._dragged = false;\n\n        return;\n    }\n};\n\nfunction coverSlip() {\n    var cover = document.createElement('div');\n\n    cover.className = 'dragcover';\n    var cStyle = cover.style;\n    cStyle.position = 'fixed';\n    cStyle.left = 0;\n    cStyle.right = 0;\n    cStyle.top = 0;\n    cStyle.bottom = 0;\n    cStyle.zIndex = 999999999;\n    cStyle.background = 'none';\n\n    document.body.appendChild(cover);\n\n    return cover;\n}\n\ndragElement.coverSlip = coverSlip;\n\nfunction finishDrag(gd) {\n    gd._dragging = false;\n    if(gd._replotPending) Registry.call('plot', gd);\n}\n\nfunction pointerOffset(e) {\n    return mouseOffset(\n        e.changedTouches ? e.changedTouches[0] : e,\n        document.body\n    );\n}\n\n},{\"../../constants/interactions\":672,\"../../lib\":696,\"../../plots/cartesian/constants\":751,\"../../registry\":828,\"./align\":590,\"./cursor\":591,\"./unhover\":593,\"has-hover\":393,\"has-passive-events\":394,\"mouse-event-offset\":419}],593:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nvar Events = _dereq_('../../lib/events');\nvar throttle = _dereq_('../../lib/throttle');\nvar getGraphDiv = _dereq_('../../lib/get_graph_div');\n\nvar hoverConstants = _dereq_('../fx/constants');\n\nvar unhover = module.exports = {};\n\n\nunhover.wrapped = function(gd, evt, subplot) {\n    gd = getGraphDiv(gd);\n\n    // Important, clear any queued hovers\n    if(gd._fullLayout) {\n        throttle.clear(gd._fullLayout._uid + hoverConstants.HOVERID);\n    }\n\n    unhover.raw(gd, evt, subplot);\n};\n\n\n// remove hover effects on mouse out, and emit unhover event\nunhover.raw = function unhoverRaw(gd, evt) {\n    var fullLayout = gd._fullLayout;\n    var oldhoverdata = gd._hoverdata;\n\n    if(!evt) evt = {};\n    if(evt.target &&\n       Events.triggerHandler(gd, 'plotly_beforehover', evt) === false) {\n        return;\n    }\n\n    fullLayout._hoverlayer.selectAll('g').remove();\n    fullLayout._hoverlayer.selectAll('line').remove();\n    fullLayout._hoverlayer.selectAll('circle').remove();\n    gd._hoverdata = undefined;\n\n    if(evt.target && oldhoverdata) {\n        gd.emit('plotly_unhover', {\n            event: evt,\n            points: oldhoverdata\n        });\n    }\n};\n\n},{\"../../lib/events\":684,\"../../lib/get_graph_div\":691,\"../../lib/throttle\":722,\"../fx/constants\":607}],594:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nexports.dash = {\n    valType: 'string',\n    // string type usually doesn't take values... this one should really be\n    // a special type or at least a special coercion function, from the GUI\n    // you only get these values but elsewhere the user can supply a list of\n    // dash lengths in px, and it will be honored\n    values: ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'],\n    dflt: 'solid',\n    \n    editType: 'style',\n    \n};\n\n},{}],595:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\nvar tinycolor = _dereq_('tinycolor2');\n\nvar Registry = _dereq_('../../registry');\nvar Color = _dereq_('../color');\nvar Colorscale = _dereq_('../colorscale');\nvar Lib = _dereq_('../../lib');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\n\nvar xmlnsNamespaces = _dereq_('../../constants/xmlns_namespaces');\nvar alignment = _dereq_('../../constants/alignment');\nvar LINE_SPACING = alignment.LINE_SPACING;\nvar DESELECTDIM = _dereq_('../../constants/interactions').DESELECTDIM;\n\nvar subTypes = _dereq_('../../traces/scatter/subtypes');\nvar makeBubbleSizeFn = _dereq_('../../traces/scatter/make_bubble_size_func');\n\nvar drawing = module.exports = {};\n\n// -----------------------------------------------------\n// styling functions for plot elements\n// -----------------------------------------------------\n\ndrawing.font = function(s, family, size, color) {\n    // also allow the form font(s, {family, size, color})\n    if(Lib.isPlainObject(family)) {\n        color = family.color;\n        size = family.size;\n        family = family.family;\n    }\n    if(family) s.style('font-family', family);\n    if(size + 1) s.style('font-size', size + 'px');\n    if(color) s.call(Color.fill, color);\n};\n\n/*\n * Positioning helpers\n * Note: do not use `setPosition` with <text> nodes modified by\n * `svgTextUtils.convertToTspans`. Use `svgTextUtils.positionText`\n * instead, so that <tspan.line> elements get updated to match.\n */\ndrawing.setPosition = function(s, x, y) { s.attr('x', x).attr('y', y); };\ndrawing.setSize = function(s, w, h) { s.attr('width', w).attr('height', h); };\ndrawing.setRect = function(s, x, y, w, h) {\n    s.call(drawing.setPosition, x, y).call(drawing.setSize, w, h);\n};\n\n/** Translate node\n *\n * @param {object} d : calcdata point item\n * @param {sel} sel : d3 selction of node to translate\n * @param {object} xa : corresponding full xaxis object\n * @param {object} ya : corresponding full yaxis object\n *\n * @return {boolean} :\n *  true if selection got translated\n *  false if selection could not get translated\n */\ndrawing.translatePoint = function(d, sel, xa, ya) {\n    var x = xa.c2p(d.x);\n    var y = ya.c2p(d.y);\n\n    if(isNumeric(x) && isNumeric(y) && sel.node()) {\n        // for multiline text this works better\n        if(sel.node().nodeName === 'text') {\n            sel.attr('x', x).attr('y', y);\n        } else {\n            sel.attr('transform', 'translate(' + x + ',' + y + ')');\n        }\n    } else {\n        return false;\n    }\n\n    return true;\n};\n\ndrawing.translatePoints = function(s, xa, ya) {\n    s.each(function(d) {\n        var sel = d3.select(this);\n        drawing.translatePoint(d, sel, xa, ya);\n    });\n};\n\ndrawing.hideOutsideRangePoint = function(d, sel, xa, ya, xcalendar, ycalendar) {\n    sel.attr(\n        'display',\n        (xa.isPtWithinRange(d, xcalendar) && ya.isPtWithinRange(d, ycalendar)) ? null : 'none'\n    );\n};\n\ndrawing.hideOutsideRangePoints = function(traceGroups, subplot) {\n    if(!subplot._hasClipOnAxisFalse) return;\n\n    var xa = subplot.xaxis;\n    var ya = subplot.yaxis;\n\n    traceGroups.each(function(d) {\n        var trace = d[0].trace;\n        var xcalendar = trace.xcalendar;\n        var ycalendar = trace.ycalendar;\n        var selector = trace.type === 'bar' ? '.bartext' : '.point,.textpoint';\n\n        traceGroups.selectAll(selector).each(function(d) {\n            drawing.hideOutsideRangePoint(d, d3.select(this), xa, ya, xcalendar, ycalendar);\n        });\n    });\n};\n\ndrawing.crispRound = function(gd, lineWidth, dflt) {\n    // for lines that disable antialiasing we want to\n    // make sure the width is an integer, and at least 1 if it's nonzero\n\n    if(!lineWidth || !isNumeric(lineWidth)) return dflt || 0;\n\n    // but not for static plots - these don't get antialiased anyway.\n    if(gd._context.staticPlot) return lineWidth;\n\n    if(lineWidth < 1) return 1;\n    return Math.round(lineWidth);\n};\n\ndrawing.singleLineStyle = function(d, s, lw, lc, ld) {\n    s.style('fill', 'none');\n    var line = (((d || [])[0] || {}).trace || {}).line || {},\n        lw1 = lw || line.width||0,\n        dash = ld || line.dash || '';\n\n    Color.stroke(s, lc || line.color);\n    drawing.dashLine(s, dash, lw1);\n};\n\ndrawing.lineGroupStyle = function(s, lw, lc, ld) {\n    s.style('fill', 'none')\n    .each(function(d) {\n        var line = (((d || [])[0] || {}).trace || {}).line || {},\n            lw1 = lw || line.width||0,\n            dash = ld || line.dash || '';\n\n        d3.select(this)\n            .call(Color.stroke, lc || line.color)\n            .call(drawing.dashLine, dash, lw1);\n    });\n};\n\ndrawing.dashLine = function(s, dash, lineWidth) {\n    lineWidth = +lineWidth || 0;\n\n    dash = drawing.dashStyle(dash, lineWidth);\n\n    s.style({\n        'stroke-dasharray': dash,\n        'stroke-width': lineWidth + 'px'\n    });\n};\n\ndrawing.dashStyle = function(dash, lineWidth) {\n    lineWidth = +lineWidth || 1;\n    var dlw = Math.max(lineWidth, 3);\n\n    if(dash === 'solid') dash = '';\n    else if(dash === 'dot') dash = dlw + 'px,' + dlw + 'px';\n    else if(dash === 'dash') dash = (3 * dlw) + 'px,' + (3 * dlw) + 'px';\n    else if(dash === 'longdash') dash = (5 * dlw) + 'px,' + (5 * dlw) + 'px';\n    else if(dash === 'dashdot') {\n        dash = (3 * dlw) + 'px,' + dlw + 'px,' + dlw + 'px,' + dlw + 'px';\n    }\n    else if(dash === 'longdashdot') {\n        dash = (5 * dlw) + 'px,' + (2 * dlw) + 'px,' + dlw + 'px,' + (2 * dlw) + 'px';\n    }\n    // otherwise user wrote the dasharray themselves - leave it be\n\n    return dash;\n};\n\n// Same as fillGroupStyle, except in this case the selection may be a transition\ndrawing.singleFillStyle = function(sel) {\n    var node = d3.select(sel.node());\n    var data = node.data();\n    var fillcolor = (((data[0] || [])[0] || {}).trace || {}).fillcolor;\n    if(fillcolor) {\n        sel.call(Color.fill, fillcolor);\n    }\n};\n\ndrawing.fillGroupStyle = function(s) {\n    s.style('stroke-width', 0)\n    .each(function(d) {\n        var shape = d3.select(this);\n        shape.call(Color.fill, d[0].trace.fillcolor);\n    });\n};\n\nvar SYMBOLDEFS = _dereq_('./symbol_defs');\n\ndrawing.symbolNames = [];\ndrawing.symbolFuncs = [];\ndrawing.symbolNeedLines = {};\ndrawing.symbolNoDot = {};\ndrawing.symbolNoFill = {};\ndrawing.symbolList = [];\n\nObject.keys(SYMBOLDEFS).forEach(function(k) {\n    var symDef = SYMBOLDEFS[k];\n    drawing.symbolList = drawing.symbolList.concat(\n        [symDef.n, k, symDef.n + 100, k + '-open']);\n    drawing.symbolNames[symDef.n] = k;\n    drawing.symbolFuncs[symDef.n] = symDef.f;\n    if(symDef.needLine) {\n        drawing.symbolNeedLines[symDef.n] = true;\n    }\n    if(symDef.noDot) {\n        drawing.symbolNoDot[symDef.n] = true;\n    }\n    else {\n        drawing.symbolList = drawing.symbolList.concat(\n            [symDef.n + 200, k + '-dot', symDef.n + 300, k + '-open-dot']);\n    }\n    if(symDef.noFill) {\n        drawing.symbolNoFill[symDef.n] = true;\n    }\n});\nvar MAXSYMBOL = drawing.symbolNames.length,\n    // add a dot in the middle of the symbol\n    DOTPATH = 'M0,0.5L0.5,0L0,-0.5L-0.5,0Z';\n\ndrawing.symbolNumber = function(v) {\n    if(typeof v === 'string') {\n        var vbase = 0;\n        if(v.indexOf('-open') > 0) {\n            vbase = 100;\n            v = v.replace('-open', '');\n        }\n        if(v.indexOf('-dot') > 0) {\n            vbase += 200;\n            v = v.replace('-dot', '');\n        }\n        v = drawing.symbolNames.indexOf(v);\n        if(v >= 0) { v += vbase; }\n    }\n    if((v % 100 >= MAXSYMBOL) || v >= 400) { return 0; }\n    return Math.floor(Math.max(v, 0));\n};\n\nfunction makePointPath(symbolNumber, r) {\n    var base = symbolNumber % 100;\n    return drawing.symbolFuncs[base](r) + (symbolNumber >= 200 ? DOTPATH : '');\n}\n\nvar HORZGRADIENT = {x1: 1, x2: 0, y1: 0, y2: 0};\nvar VERTGRADIENT = {x1: 0, x2: 0, y1: 1, y2: 0};\nvar stopFormatter = d3.format('~.1f');\nvar gradientInfo = {\n    radial: {node: 'radialGradient'},\n    radialreversed: {node: 'radialGradient', reversed: true},\n    horizontal: {node: 'linearGradient', attrs: HORZGRADIENT},\n    horizontalreversed: {node: 'linearGradient', attrs: HORZGRADIENT, reversed: true},\n    vertical: {node: 'linearGradient', attrs: VERTGRADIENT},\n    verticalreversed: {node: 'linearGradient', attrs: VERTGRADIENT, reversed: true}\n};\n\n/**\n * gradient: create and apply a gradient fill\n *\n * @param {object} sel: d3 selection to apply this gradient to\n *     You can use `selection.call(Drawing.gradient, ...)`\n * @param {DOM element} gd: the graph div `sel` is part of\n * @param {string} gradientID: a unique (within this plot) identifier\n *     for this gradient, so that we don't create unnecessary definitions\n * @param {string} type: 'radial', 'horizontal', or 'vertical', optionally with\n *     'reversed' at the end. Normally radial goes center to edge,\n *     horizontal goes right to left, and vertical goes bottom to top\n * @param {array} colorscale: as in attribute values, [[fraction, color], ...]\n * @param {string} prop: the property to apply to, 'fill' or 'stroke'\n */\ndrawing.gradient = function(sel, gd, gradientID, type, colorscale, prop) {\n    var len = colorscale.length;\n    var info = gradientInfo[type];\n    var colorStops = new Array(len);\n    for(var i = 0; i < len; i++) {\n        if(info.reversed) {\n            colorStops[len - 1 - i] = [stopFormatter((1 - colorscale[i][0]) * 100), colorscale[i][1]];\n        }\n        else {\n            colorStops[i] = [stopFormatter(colorscale[i][0] * 100), colorscale[i][1]];\n        }\n    }\n\n    var fullID = 'g' + gd._fullLayout._uid + '-' + gradientID;\n\n    var gradient = gd._fullLayout._defs.select('.gradients')\n        .selectAll('#' + fullID)\n        .data([type + colorStops.join(';')], Lib.identity);\n\n    gradient.exit().remove();\n\n    gradient.enter()\n        .append(info.node)\n        .each(function() {\n            var el = d3.select(this);\n            if(info.attrs) el.attr(info.attrs);\n\n            el.attr('id', fullID);\n\n            var stops = el.selectAll('stop')\n                .data(colorStops);\n            stops.exit().remove();\n            stops.enter().append('stop');\n\n            stops.each(function(d) {\n                var tc = tinycolor(d[1]);\n                d3.select(this).attr({\n                    offset: d[0] + '%',\n                    'stop-color': Color.tinyRGB(tc),\n                    'stop-opacity': tc.getAlpha()\n                });\n            });\n        });\n\n    sel.style(prop, 'url(#' + fullID + ')')\n        .style(prop + '-opacity', null);\n};\n\n/*\n * Make the gradients container and clear out any previous gradients.\n * We never collect all the gradients we need in one place,\n * so we can't ever remove gradients that have stopped being useful,\n * except all at once before a full redraw.\n * The upside of this is arbitrary points can share gradient defs\n */\ndrawing.initGradients = function(gd) {\n    var gradientsGroup = Lib.ensureSingle(gd._fullLayout._defs, 'g', 'gradients');\n    gradientsGroup.selectAll('linearGradient,radialGradient').remove();\n};\n\n\ndrawing.pointStyle = function(s, trace, gd) {\n    if(!s.size()) return;\n\n    var fns = drawing.makePointStyleFns(trace);\n\n    s.each(function(d) {\n        drawing.singlePointStyle(d, d3.select(this), trace, fns, gd);\n    });\n};\n\ndrawing.singlePointStyle = function(d, sel, trace, fns, gd) {\n    var marker = trace.marker;\n    var markerLine = marker.line;\n\n    sel.style('opacity',\n        fns.selectedOpacityFn ? fns.selectedOpacityFn(d) :\n            (d.mo === undefined ? marker.opacity : d.mo)\n    );\n\n    if(fns.ms2mrc) {\n        var r;\n\n        // handle multi-trace graph edit case\n        if(d.ms === 'various' || marker.size === 'various') {\n            r = 3;\n        } else {\n            r = fns.ms2mrc(d.ms);\n        }\n\n        // store the calculated size so hover can use it\n        d.mrc = r;\n\n        if(fns.selectedSizeFn) {\n            r = d.mrc = fns.selectedSizeFn(d);\n        }\n\n        // turn the symbol into a sanitized number\n        var x = drawing.symbolNumber(d.mx || marker.symbol) || 0;\n\n        // save if this marker is open\n        // because that impacts how to handle colors\n        d.om = x % 200 >= 100;\n\n        sel.attr('d', makePointPath(x, r));\n    }\n\n    var perPointGradient = false;\n    var fillColor, lineColor, lineWidth;\n\n    // 'so' is suspected outliers, for box plots\n    if(d.so) {\n        lineWidth = markerLine.outlierwidth;\n        lineColor = markerLine.outliercolor;\n        fillColor = marker.outliercolor;\n    } else {\n        var markerLineWidth = (markerLine || {}).width;\n\n        lineWidth = (\n            d.mlw + 1 ||\n            markerLineWidth + 1 ||\n            // TODO: we need the latter for legends... can we get rid of it?\n            (d.trace ? (d.trace.marker.line || {}).width : 0) + 1\n        ) - 1 || 0;\n\n        if('mlc' in d) lineColor = d.mlcc = fns.lineScale(d.mlc);\n        // weird case: array wasn't long enough to apply to every point\n        else if(Lib.isArrayOrTypedArray(markerLine.color)) lineColor = Color.defaultLine;\n        else lineColor = markerLine.color;\n\n        if(Lib.isArrayOrTypedArray(marker.color)) {\n            fillColor = Color.defaultLine;\n            perPointGradient = true;\n        }\n\n        if('mc' in d) {\n            fillColor = d.mcc = fns.markerScale(d.mc);\n        } else {\n            fillColor = marker.color || 'rgba(0,0,0,0)';\n        }\n\n        if(fns.selectedColorFn) {\n            fillColor = fns.selectedColorFn(d);\n        }\n    }\n\n    if(d.om) {\n        // open markers can't have zero linewidth, default to 1px,\n        // and use fill color as stroke color\n        sel.call(Color.stroke, fillColor)\n            .style({\n                'stroke-width': (lineWidth || 1) + 'px',\n                fill: 'none'\n            });\n    } else {\n        sel.style('stroke-width', lineWidth + 'px');\n\n        var markerGradient = marker.gradient;\n\n        var gradientType = d.mgt;\n        if(gradientType) perPointGradient = true;\n        else gradientType = markerGradient && markerGradient.type;\n\n        // for legend - arrays will propagate through here, but we don't need\n        // to treat it as per-point.\n        if(Array.isArray(gradientType)) {\n            gradientType = gradientType[0];\n            if(!gradientInfo[gradientType]) gradientType = 0;\n        }\n\n        if(gradientType && gradientType !== 'none') {\n            var gradientColor = d.mgc;\n            if(gradientColor) perPointGradient = true;\n            else gradientColor = markerGradient.color;\n\n            var gradientID = trace.uid;\n            if(perPointGradient) gradientID += '-' + d.i;\n\n            drawing.gradient(sel, gd, gradientID, gradientType,\n                [[0, gradientColor], [1, fillColor]], 'fill');\n        } else {\n            Color.fill(sel, fillColor);\n        }\n\n        if(lineWidth) {\n            Color.stroke(sel, lineColor);\n        }\n    }\n};\n\ndrawing.makePointStyleFns = function(trace) {\n    var out = {};\n    var marker = trace.marker;\n\n    // allow array marker and marker line colors to be\n    // scaled by given max and min to colorscales\n    out.markerScale = drawing.tryColorscale(marker, '');\n    out.lineScale = drawing.tryColorscale(marker, 'line');\n\n    if(Registry.traceIs(trace, 'symbols')) {\n        out.ms2mrc = subTypes.isBubble(trace) ?\n            makeBubbleSizeFn(trace) :\n            function() { return (marker.size || 6) / 2; };\n    }\n\n    if(trace.selectedpoints) {\n        Lib.extendFlat(out, drawing.makeSelectedPointStyleFns(trace));\n    }\n\n    return out;\n};\n\ndrawing.makeSelectedPointStyleFns = function(trace) {\n    var out = {};\n\n    var selectedAttrs = trace.selected || {};\n    var unselectedAttrs = trace.unselected || {};\n\n    var marker = trace.marker || {};\n    var selectedMarker = selectedAttrs.marker || {};\n    var unselectedMarker = unselectedAttrs.marker || {};\n\n    var mo = marker.opacity;\n    var smo = selectedMarker.opacity;\n    var usmo = unselectedMarker.opacity;\n    var smoIsDefined = smo !== undefined;\n    var usmoIsDefined = usmo !== undefined;\n\n    if(Lib.isArrayOrTypedArray(mo) || smoIsDefined || usmoIsDefined) {\n        out.selectedOpacityFn = function(d) {\n            var base = d.mo === undefined ? marker.opacity : d.mo;\n\n            if(d.selected) {\n                return smoIsDefined ? smo : base;\n            } else {\n                return usmoIsDefined ? usmo : DESELECTDIM * base;\n            }\n        };\n    }\n\n    var mc = marker.color;\n    var smc = selectedMarker.color;\n    var usmc = unselectedMarker.color;\n\n    if(smc || usmc) {\n        out.selectedColorFn = function(d) {\n            var base = d.mcc || mc;\n\n            if(d.selected) {\n                return smc || base;\n            } else {\n                return usmc || base;\n            }\n        };\n    }\n\n    var ms = marker.size;\n    var sms = selectedMarker.size;\n    var usms = unselectedMarker.size;\n    var smsIsDefined = sms !== undefined;\n    var usmsIsDefined = usms !== undefined;\n\n    if(Registry.traceIs(trace, 'symbols') && (smsIsDefined || usmsIsDefined)) {\n        out.selectedSizeFn = function(d) {\n            var base = d.mrc || ms / 2;\n\n            if(d.selected) {\n                return smsIsDefined ? sms / 2 : base;\n            } else {\n                return usmsIsDefined ? usms / 2 : base;\n            }\n        };\n    }\n\n    return out;\n};\n\ndrawing.makeSelectedTextStyleFns = function(trace) {\n    var out = {};\n\n    var selectedAttrs = trace.selected || {};\n    var unselectedAttrs = trace.unselected || {};\n\n    var textFont = trace.textfont || {};\n    var selectedTextFont = selectedAttrs.textfont || {};\n    var unselectedTextFont = unselectedAttrs.textfont || {};\n\n    var tc = textFont.color;\n    var stc = selectedTextFont.color;\n    var utc = unselectedTextFont.color;\n\n    out.selectedTextColorFn = function(d) {\n        var base = d.tc || tc;\n\n        if(d.selected) {\n            return stc || base;\n        } else {\n            if(utc) return utc;\n            else return stc ? base : Color.addOpacity(base, DESELECTDIM);\n        }\n    };\n\n    return out;\n};\n\ndrawing.selectedPointStyle = function(s, trace) {\n    if(!s.size() || !trace.selectedpoints) return;\n\n    var fns = drawing.makeSelectedPointStyleFns(trace);\n    var marker = trace.marker || {};\n    var seq = [];\n\n    if(fns.selectedOpacityFn) {\n        seq.push(function(pt, d) {\n            pt.style('opacity', fns.selectedOpacityFn(d));\n        });\n    }\n\n    if(fns.selectedColorFn) {\n        seq.push(function(pt, d) {\n            Color.fill(pt, fns.selectedColorFn(d));\n        });\n    }\n\n    if(fns.selectedSizeFn) {\n        seq.push(function(pt, d) {\n            var mx = d.mx || marker.symbol || 0;\n            var mrc2 = fns.selectedSizeFn(d);\n\n            pt.attr('d', makePointPath(drawing.symbolNumber(mx), mrc2));\n\n            // save for Drawing.selectedTextStyle\n            d.mrc2 = mrc2;\n        });\n    }\n\n    if(seq.length) {\n        s.each(function(d) {\n            var pt = d3.select(this);\n            for(var i = 0; i < seq.length; i++) {\n                seq[i](pt, d);\n            }\n        });\n    }\n};\n\ndrawing.tryColorscale = function(marker, prefix) {\n    var cont = prefix ? Lib.nestedProperty(marker, prefix).get() : marker;\n\n    if(cont) {\n        var scl = cont.colorscale;\n        var colorArray = cont.color;\n\n        if(scl && Lib.isArrayOrTypedArray(colorArray)) {\n            return Colorscale.makeColorScaleFunc(\n                Colorscale.extractScale(scl, cont.cmin, cont.cmax)\n            );\n        }\n    }\n    return Lib.identity;\n};\n\nvar TEXTOFFSETSIGN = {\n    start: 1, end: -1, middle: 0, bottom: 1, top: -1\n};\n\nfunction textPointPosition(s, textPosition, fontSize, markerRadius) {\n    var group = d3.select(s.node().parentNode);\n\n    var v = textPosition.indexOf('top') !== -1 ?\n        'top' :\n        textPosition.indexOf('bottom') !== -1 ? 'bottom' : 'middle';\n    var h = textPosition.indexOf('left') !== -1 ?\n        'end' :\n        textPosition.indexOf('right') !== -1 ? 'start' : 'middle';\n\n    // if markers are shown, offset a little more than\n    // the nominal marker size\n    // ie 2/1.6 * nominal, bcs some markers are a bit bigger\n    var r = markerRadius ? markerRadius / 0.8 + 1 : 0;\n\n    var numLines = (svgTextUtils.lineCount(s) - 1) * LINE_SPACING + 1;\n    var dx = TEXTOFFSETSIGN[h] * r;\n    var dy = fontSize * 0.75 + TEXTOFFSETSIGN[v] * r +\n        (TEXTOFFSETSIGN[v] - 1) * numLines * fontSize / 2;\n\n    // fix the overall text group position\n    s.attr('text-anchor', h);\n    group.attr('transform', 'translate(' + dx + ',' + dy + ')');\n}\n\nfunction extracTextFontSize(d, trace) {\n    var fontSize = d.ts || trace.textfont.size;\n    return (isNumeric(fontSize) && fontSize > 0) ? fontSize : 0;\n}\n\n// draw text at points\ndrawing.textPointStyle = function(s, trace, gd) {\n    if(!s.size()) return;\n\n    var selectedTextColorFn;\n\n    if(trace.selectedpoints) {\n        var fns = drawing.makeSelectedTextStyleFns(trace);\n        selectedTextColorFn = fns.selectedTextColorFn;\n    }\n\n    s.each(function(d) {\n        var p = d3.select(this);\n        var text = Lib.extractOption(d, trace, 'tx', 'text');\n\n        if(!text && text !== 0) {\n            p.remove();\n            return;\n        }\n\n        var pos = d.tp || trace.textposition;\n        var fontSize = extracTextFontSize(d, trace);\n        var fontColor = selectedTextColorFn ?\n            selectedTextColorFn(d) :\n            (d.tc || trace.textfont.color);\n\n        p.call(drawing.font,\n                d.tf || trace.textfont.family,\n                fontSize,\n                fontColor)\n            .text(text)\n            .call(svgTextUtils.convertToTspans, gd)\n            .call(textPointPosition, pos, fontSize, d.mrc);\n    });\n};\n\ndrawing.selectedTextStyle = function(s, trace) {\n    if(!s.size() || !trace.selectedpoints) return;\n\n    var fns = drawing.makeSelectedTextStyleFns(trace);\n\n    s.each(function(d) {\n        var tx = d3.select(this);\n        var tc = fns.selectedTextColorFn(d);\n        var tp = d.tp || trace.textposition;\n        var fontSize = extracTextFontSize(d, trace);\n\n        Color.fill(tx, tc);\n        textPointPosition(tx, tp, fontSize, d.mrc2 || d.mrc);\n    });\n};\n\n// generalized Catmull-Rom splines, per\n// http://www.cemyuksel.com/research/catmullrom_param/catmullrom.pdf\nvar CatmullRomExp = 0.5;\ndrawing.smoothopen = function(pts, smoothness) {\n    if(pts.length < 3) { return 'M' + pts.join('L');}\n    var path = 'M' + pts[0],\n        tangents = [], i;\n    for(i = 1; i < pts.length - 1; i++) {\n        tangents.push(makeTangent(pts[i - 1], pts[i], pts[i + 1], smoothness));\n    }\n    path += 'Q' + tangents[0][0] + ' ' + pts[1];\n    for(i = 2; i < pts.length - 1; i++) {\n        path += 'C' + tangents[i - 2][1] + ' ' + tangents[i - 1][0] + ' ' + pts[i];\n    }\n    path += 'Q' + tangents[pts.length - 3][1] + ' ' + pts[pts.length - 1];\n    return path;\n};\n\ndrawing.smoothclosed = function(pts, smoothness) {\n    if(pts.length < 3) { return 'M' + pts.join('L') + 'Z'; }\n    var path = 'M' + pts[0],\n        pLast = pts.length - 1,\n        tangents = [makeTangent(pts[pLast],\n                        pts[0], pts[1], smoothness)],\n        i;\n    for(i = 1; i < pLast; i++) {\n        tangents.push(makeTangent(pts[i - 1], pts[i], pts[i + 1], smoothness));\n    }\n    tangents.push(\n        makeTangent(pts[pLast - 1], pts[pLast], pts[0], smoothness)\n    );\n\n    for(i = 1; i <= pLast; i++) {\n        path += 'C' + tangents[i - 1][1] + ' ' + tangents[i][0] + ' ' + pts[i];\n    }\n    path += 'C' + tangents[pLast][1] + ' ' + tangents[0][0] + ' ' + pts[0] + 'Z';\n    return path;\n};\n\nfunction makeTangent(prevpt, thispt, nextpt, smoothness) {\n    var d1x = prevpt[0] - thispt[0],\n        d1y = prevpt[1] - thispt[1],\n        d2x = nextpt[0] - thispt[0],\n        d2y = nextpt[1] - thispt[1],\n        d1a = Math.pow(d1x * d1x + d1y * d1y, CatmullRomExp / 2),\n        d2a = Math.pow(d2x * d2x + d2y * d2y, CatmullRomExp / 2),\n        numx = (d2a * d2a * d1x - d1a * d1a * d2x) * smoothness,\n        numy = (d2a * d2a * d1y - d1a * d1a * d2y) * smoothness,\n        denom1 = 3 * d2a * (d1a + d2a),\n        denom2 = 3 * d1a * (d1a + d2a);\n    return [\n        [\n            d3.round(thispt[0] + (denom1 && numx / denom1), 2),\n            d3.round(thispt[1] + (denom1 && numy / denom1), 2)\n        ], [\n            d3.round(thispt[0] - (denom2 && numx / denom2), 2),\n            d3.round(thispt[1] - (denom2 && numy / denom2), 2)\n        ]\n    ];\n}\n\n// step paths - returns a generator function for paths\n// with the given step shape\nvar STEPPATH = {\n    hv: function(p0, p1) {\n        return 'H' + d3.round(p1[0], 2) + 'V' + d3.round(p1[1], 2);\n    },\n    vh: function(p0, p1) {\n        return 'V' + d3.round(p1[1], 2) + 'H' + d3.round(p1[0], 2);\n    },\n    hvh: function(p0, p1) {\n        return 'H' + d3.round((p0[0] + p1[0]) / 2, 2) + 'V' +\n            d3.round(p1[1], 2) + 'H' + d3.round(p1[0], 2);\n    },\n    vhv: function(p0, p1) {\n        return 'V' + d3.round((p0[1] + p1[1]) / 2, 2) + 'H' +\n            d3.round(p1[0], 2) + 'V' + d3.round(p1[1], 2);\n    }\n};\nvar STEPLINEAR = function(p0, p1) {\n    return 'L' + d3.round(p1[0], 2) + ',' + d3.round(p1[1], 2);\n};\ndrawing.steps = function(shape) {\n    var onestep = STEPPATH[shape] || STEPLINEAR;\n    return function(pts) {\n        var path = 'M' + d3.round(pts[0][0], 2) + ',' + d3.round(pts[0][1], 2);\n        for(var i = 1; i < pts.length; i++) {\n            path += onestep(pts[i - 1], pts[i]);\n        }\n        return path;\n    };\n};\n\n// off-screen svg render testing element, shared by the whole page\n// uses the id 'js-plotly-tester' and stores it in drawing.tester\ndrawing.makeTester = function() {\n    var tester = Lib.ensureSingleById(d3.select('body'), 'svg', 'js-plotly-tester', function(s) {\n        s.attr(xmlnsNamespaces.svgAttrs)\n            .style({\n                position: 'absolute',\n                left: '-10000px',\n                top: '-10000px',\n                width: '9000px',\n                height: '9000px',\n                'z-index': '1'\n            });\n    });\n\n    // browsers differ on how they describe the bounding rect of\n    // the svg if its contents spill over... so make a 1x1px\n    // reference point we can measure off of.\n    var testref = Lib.ensureSingle(tester, 'path', 'js-reference-point', function(s) {\n        s.attr('d', 'M0,0H1V1H0Z')\n            .style({\n                'stroke-width': 0,\n                fill: 'black'\n            });\n    });\n\n    drawing.tester = tester;\n    drawing.testref = testref;\n};\n\n/*\n * use our offscreen tester to get a clientRect for an element,\n * in a reference frame where it isn't translated (or transformed) and\n * its anchor point is at (0,0)\n * always returns a copy of the bbox, so the caller can modify it safely\n *\n * @param {SVGElement} node: the element to measure. If possible this should be\n *   a <text> or MathJax <g> element that's already passed through\n *   `convertToTspans` because in that case we can cache the results, but it's\n *   possible to pass in any svg element.\n *\n * @param {boolean} inTester: is this element already in `drawing.tester`?\n *   If you are measuring a dummy element, rather than one you really intend\n *   to use on the plot, making it in `drawing.tester` in the first place\n *   allows us to test faster because it cuts out cloning and appending it.\n *\n * @param {string} hash: for internal use only, if we already know the cache key\n *   for this element beforehand.\n *\n * @return {object}: a plain object containing the width, height, left, right,\n *   top, and bottom of `node`\n */\ndrawing.savedBBoxes = {};\nvar savedBBoxesCount = 0;\nvar maxSavedBBoxes = 10000;\n\ndrawing.bBox = function(node, inTester, hash) {\n    /*\n     * Cache elements we've already measured so we don't have to\n     * remeasure the same thing many times\n     * We have a few bBox callers though who pass a node larger than\n     * a <text> or a MathJax <g>, such as an axis group containing many labels.\n     * These will not generate a hash (unless we figure out an appropriate\n     * hash key for them) and thus we will not hash them.\n     */\n    if(!hash) hash = nodeHash(node);\n    var out;\n    if(hash) {\n        out = drawing.savedBBoxes[hash];\n        if(out) return Lib.extendFlat({}, out);\n    }\n    else if(node.childNodes.length === 1) {\n        /*\n         * If we have only one child element, which is itself hashable, make\n         * a new hash from this element plus its x,y,transform\n         * These bounding boxes *include* x,y,transform - mostly for use by\n         * callers trying to avoid overlaps (ie titles)\n         */\n        var innerNode = node.childNodes[0];\n\n        hash = nodeHash(innerNode);\n        if(hash) {\n            var x = +innerNode.getAttribute('x') || 0;\n            var y = +innerNode.getAttribute('y') || 0;\n            var transform = innerNode.getAttribute('transform');\n\n            if(!transform) {\n                // in this case, just varying x and y, don't bother caching\n                // the final bBox because the alteration is quick.\n                var innerBB = drawing.bBox(innerNode, false, hash);\n                if(x) {\n                    innerBB.left += x;\n                    innerBB.right += x;\n                }\n                if(y) {\n                    innerBB.top += y;\n                    innerBB.bottom += y;\n                }\n                return innerBB;\n            }\n            /*\n             * else we have a transform - rather than make a complicated\n             * (and error-prone and probably slow) transform parser/calculator,\n             * just continue on calculating the boundingClientRect of the group\n             * and use the new composite hash to cache it.\n             * That said, `innerNode.transform.baseVal` is an array of\n             * `SVGTransform` objects, that *do* seem to have a nice matrix\n             * multiplication interface that we could use to avoid making\n             * another getBoundingClientRect call...\n             */\n            hash += '~' + x + '~' + y + '~' + transform;\n\n            out = drawing.savedBBoxes[hash];\n            if(out) return Lib.extendFlat({}, out);\n        }\n    }\n    var testNode, tester;\n    if(inTester) {\n        testNode = node;\n    }\n    else {\n        tester = drawing.tester.node();\n\n        // copy the node to test into the tester\n        testNode = node.cloneNode(true);\n        tester.appendChild(testNode);\n    }\n\n    // standardize its position (and newline tspans if any)\n    d3.select(testNode)\n        .attr('transform', null)\n        .call(svgTextUtils.positionText, 0, 0);\n\n    var testRect = testNode.getBoundingClientRect();\n    var refRect = drawing.testref\n        .node()\n        .getBoundingClientRect();\n\n    if(!inTester) tester.removeChild(testNode);\n\n    var bb = {\n        height: testRect.height,\n        width: testRect.width,\n        left: testRect.left - refRect.left,\n        top: testRect.top - refRect.top,\n        right: testRect.right - refRect.left,\n        bottom: testRect.bottom - refRect.top\n    };\n\n    // make sure we don't have too many saved boxes,\n    // or a long session could overload on memory\n    // by saving boxes for long-gone elements\n    if(savedBBoxesCount >= maxSavedBBoxes) {\n        drawing.savedBBoxes = {};\n        savedBBoxesCount = 0;\n    }\n\n    // cache this bbox\n    if(hash) drawing.savedBBoxes[hash] = bb;\n    savedBBoxesCount++;\n\n    return Lib.extendFlat({}, bb);\n};\n\n// capture everything about a node (at least in our usage) that\n// impacts its bounding box, given that bBox clears x, y, and transform\nfunction nodeHash(node) {\n    var inputText = node.getAttribute('data-unformatted');\n    if(inputText === null) return;\n    return inputText +\n        node.getAttribute('data-math') +\n        node.getAttribute('text-anchor') +\n        node.getAttribute('style');\n}\n\n/*\n * make a robust clipPath url from a local id\n * note! We'd better not be exporting from a page\n * with a <base> or the svg will not be portable!\n */\ndrawing.setClipUrl = function(s, localId) {\n    if(!localId) {\n        s.attr('clip-path', null);\n        return;\n    }\n\n    if(drawing.baseUrl === undefined) {\n        var base = d3.select('base');\n\n        // Stash base url once and for all!\n        // We may have to stash this elsewhere when\n        // we'll try to support for child windows\n        // more info -> https://github.com/plotly/plotly.js/issues/702\n        if(base.size() && base.attr('href')) {\n            drawing.baseUrl = window.location.href.split('#')[0];\n        } else {\n            drawing.baseUrl = '';\n        }\n    }\n\n    s.attr('clip-path', 'url(' + drawing.baseUrl + '#' + localId + ')');\n};\n\ndrawing.getTranslate = function(element) {\n    // Note the separator [^\\d] between x and y in this regex\n    // We generally use ',' but IE will convert it to ' '\n    var re = /.*\\btranslate\\((-?\\d*\\.?\\d*)[^-\\d]*(-?\\d*\\.?\\d*)[^\\d].*/,\n        getter = element.attr ? 'attr' : 'getAttribute',\n        transform = element[getter]('transform') || '';\n\n    var translate = transform.replace(re, function(match, p1, p2) {\n        return [p1, p2].join(' ');\n    })\n    .split(' ');\n\n    return {\n        x: +translate[0] || 0,\n        y: +translate[1] || 0\n    };\n};\n\ndrawing.setTranslate = function(element, x, y) {\n\n    var re = /(\\btranslate\\(.*?\\);?)/,\n        getter = element.attr ? 'attr' : 'getAttribute',\n        setter = element.attr ? 'attr' : 'setAttribute',\n        transform = element[getter]('transform') || '';\n\n    x = x || 0;\n    y = y || 0;\n\n    transform = transform.replace(re, '').trim();\n    transform += ' translate(' + x + ', ' + y + ')';\n    transform = transform.trim();\n\n    element[setter]('transform', transform);\n\n    return transform;\n};\n\ndrawing.getScale = function(element) {\n\n    var re = /.*\\bscale\\((\\d*\\.?\\d*)[^\\d]*(\\d*\\.?\\d*)[^\\d].*/,\n        getter = element.attr ? 'attr' : 'getAttribute',\n        transform = element[getter]('transform') || '';\n\n    var translate = transform.replace(re, function(match, p1, p2) {\n        return [p1, p2].join(' ');\n    })\n    .split(' ');\n\n    return {\n        x: +translate[0] || 1,\n        y: +translate[1] || 1\n    };\n};\n\ndrawing.setScale = function(element, x, y) {\n\n    var re = /(\\bscale\\(.*?\\);?)/,\n        getter = element.attr ? 'attr' : 'getAttribute',\n        setter = element.attr ? 'attr' : 'setAttribute',\n        transform = element[getter]('transform') || '';\n\n    x = x || 1;\n    y = y || 1;\n\n    transform = transform.replace(re, '').trim();\n    transform += ' scale(' + x + ', ' + y + ')';\n    transform = transform.trim();\n\n    element[setter]('transform', transform);\n\n    return transform;\n};\n\nvar SCALE_RE = /\\s*sc.*/;\n\ndrawing.setPointGroupScale = function(selection, xScale, yScale) {\n    xScale = xScale || 1;\n    yScale = yScale || 1;\n\n    if(!selection) return;\n\n    // The same scale transform for every point:\n    var scale = (xScale === 1 && yScale === 1) ?\n        '' :\n        ' scale(' + xScale + ',' + yScale + ')';\n\n    selection.each(function() {\n        var t = (this.getAttribute('transform') || '').replace(SCALE_RE, '');\n        t += scale;\n        t = t.trim();\n        this.setAttribute('transform', t);\n    });\n};\n\nvar TEXT_POINT_LAST_TRANSLATION_RE = /translate\\([^)]*\\)\\s*$/;\n\ndrawing.setTextPointsScale = function(selection, xScale, yScale) {\n    if(!selection) return;\n\n    selection.each(function() {\n        var transforms;\n        var el = d3.select(this);\n        var text = el.select('text');\n\n        if(!text.node()) return;\n\n        var x = parseFloat(text.attr('x') || 0);\n        var y = parseFloat(text.attr('y') || 0);\n\n        var existingTransform = (el.attr('transform') || '').match(TEXT_POINT_LAST_TRANSLATION_RE);\n\n        if(xScale === 1 && yScale === 1) {\n            transforms = [];\n        } else {\n            transforms = [\n                'translate(' + x + ',' + y + ')',\n                'scale(' + xScale + ',' + yScale + ')',\n                'translate(' + (-x) + ',' + (-y) + ')',\n            ];\n        }\n\n        if(existingTransform) {\n            transforms.push(existingTransform);\n        }\n\n        el.attr('transform', transforms.join(' '));\n    });\n};\n\n},{\"../../constants/alignment\":668,\"../../constants/interactions\":672,\"../../constants/xmlns_namespaces\":674,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"../../registry\":828,\"../../traces/scatter/make_bubble_size_func\":1061,\"../../traces/scatter/subtypes\":1068,\"../color\":570,\"../colorscale\":585,\"./symbol_defs\":596,\"d3\":148,\"fast-isnumeric\":214,\"tinycolor2\":514}],596:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\n/** Marker symbol definitions\n * users can specify markers either by number or name\n * add 100 (or '-open') and you get an open marker\n *  open markers have no fill and use line color as the stroke color\n * add 200 (or '-dot') and you get a dot in the middle\n * add both and you get both\n */\n\nmodule.exports = {\n    circle: {\n        n: 0,\n        f: function(r) {\n            var rs = d3.round(r, 2);\n            return 'M' + rs + ',0A' + rs + ',' + rs + ' 0 1,1 0,-' + rs +\n                'A' + rs + ',' + rs + ' 0 0,1 ' + rs + ',0Z';\n        }\n    },\n    square: {\n        n: 1,\n        f: function(r) {\n            var rs = d3.round(r, 2);\n            return 'M' + rs + ',' + rs + 'H-' + rs + 'V-' + rs + 'H' + rs + 'Z';\n        }\n    },\n    diamond: {\n        n: 2,\n        f: function(r) {\n            var rd = d3.round(r * 1.3, 2);\n            return 'M' + rd + ',0L0,' + rd + 'L-' + rd + ',0L0,-' + rd + 'Z';\n        }\n    },\n    cross: {\n        n: 3,\n        f: function(r) {\n            var rc = d3.round(r * 0.4, 2),\n                rc2 = d3.round(r * 1.2, 2);\n            return 'M' + rc2 + ',' + rc + 'H' + rc + 'V' + rc2 + 'H-' + rc +\n                'V' + rc + 'H-' + rc2 + 'V-' + rc + 'H-' + rc + 'V-' + rc2 +\n                'H' + rc + 'V-' + rc + 'H' + rc2 + 'Z';\n        }\n    },\n    x: {\n        n: 4,\n        f: function(r) {\n            var rx = d3.round(r * 0.8 / Math.sqrt(2), 2),\n                ne = 'l' + rx + ',' + rx,\n                se = 'l' + rx + ',-' + rx,\n                sw = 'l-' + rx + ',-' + rx,\n                nw = 'l-' + rx + ',' + rx;\n            return 'M0,' + rx + ne + se + sw + se + sw + nw + sw + nw + ne + nw + ne + 'Z';\n        }\n    },\n    'triangle-up': {\n        n: 5,\n        f: function(r) {\n            var rt = d3.round(r * 2 / Math.sqrt(3), 2),\n                r2 = d3.round(r / 2, 2),\n                rs = d3.round(r, 2);\n            return 'M-' + rt + ',' + r2 + 'H' + rt + 'L0,-' + rs + 'Z';\n        }\n    },\n    'triangle-down': {\n        n: 6,\n        f: function(r) {\n            var rt = d3.round(r * 2 / Math.sqrt(3), 2),\n                r2 = d3.round(r / 2, 2),\n                rs = d3.round(r, 2);\n            return 'M-' + rt + ',-' + r2 + 'H' + rt + 'L0,' + rs + 'Z';\n        }\n    },\n    'triangle-left': {\n        n: 7,\n        f: function(r) {\n            var rt = d3.round(r * 2 / Math.sqrt(3), 2),\n                r2 = d3.round(r / 2, 2),\n                rs = d3.round(r, 2);\n            return 'M' + r2 + ',-' + rt + 'V' + rt + 'L-' + rs + ',0Z';\n        }\n    },\n    'triangle-right': {\n        n: 8,\n        f: function(r) {\n            var rt = d3.round(r * 2 / Math.sqrt(3), 2),\n                r2 = d3.round(r / 2, 2),\n                rs = d3.round(r, 2);\n            return 'M-' + r2 + ',-' + rt + 'V' + rt + 'L' + rs + ',0Z';\n        }\n    },\n    'triangle-ne': {\n        n: 9,\n        f: function(r) {\n            var r1 = d3.round(r * 0.6, 2),\n                r2 = d3.round(r * 1.2, 2);\n            return 'M-' + r2 + ',-' + r1 + 'H' + r1 + 'V' + r2 + 'Z';\n        }\n    },\n    'triangle-se': {\n        n: 10,\n        f: function(r) {\n            var r1 = d3.round(r * 0.6, 2),\n                r2 = d3.round(r * 1.2, 2);\n            return 'M' + r1 + ',-' + r2 + 'V' + r1 + 'H-' + r2 + 'Z';\n        }\n    },\n    'triangle-sw': {\n        n: 11,\n        f: function(r) {\n            var r1 = d3.round(r * 0.6, 2),\n                r2 = d3.round(r * 1.2, 2);\n            return 'M' + r2 + ',' + r1 + 'H-' + r1 + 'V-' + r2 + 'Z';\n        }\n    },\n    'triangle-nw': {\n        n: 12,\n        f: function(r) {\n            var r1 = d3.round(r * 0.6, 2),\n                r2 = d3.round(r * 1.2, 2);\n            return 'M-' + r1 + ',' + r2 + 'V-' + r1 + 'H' + r2 + 'Z';\n        }\n    },\n    pentagon: {\n        n: 13,\n        f: function(r) {\n            var x1 = d3.round(r * 0.951, 2),\n                x2 = d3.round(r * 0.588, 2),\n                y0 = d3.round(-r, 2),\n                y1 = d3.round(r * -0.309, 2),\n                y2 = d3.round(r * 0.809, 2);\n            return 'M' + x1 + ',' + y1 + 'L' + x2 + ',' + y2 + 'H-' + x2 +\n                'L-' + x1 + ',' + y1 + 'L0,' + y0 + 'Z';\n        }\n    },\n    hexagon: {\n        n: 14,\n        f: function(r) {\n            var y0 = d3.round(r, 2),\n                y1 = d3.round(r / 2, 2),\n                x = d3.round(r * Math.sqrt(3) / 2, 2);\n            return 'M' + x + ',-' + y1 + 'V' + y1 + 'L0,' + y0 +\n                'L-' + x + ',' + y1 + 'V-' + y1 + 'L0,-' + y0 + 'Z';\n        }\n    },\n    hexagon2: {\n        n: 15,\n        f: function(r) {\n            var x0 = d3.round(r, 2),\n                x1 = d3.round(r / 2, 2),\n                y = d3.round(r * Math.sqrt(3) / 2, 2);\n            return 'M-' + x1 + ',' + y + 'H' + x1 + 'L' + x0 +\n                ',0L' + x1 + ',-' + y + 'H-' + x1 + 'L-' + x0 + ',0Z';\n        }\n    },\n    octagon: {\n        n: 16,\n        f: function(r) {\n            var a = d3.round(r * 0.924, 2),\n                b = d3.round(r * 0.383, 2);\n            return 'M-' + b + ',-' + a + 'H' + b + 'L' + a + ',-' + b + 'V' + b +\n                'L' + b + ',' + a + 'H-' + b + 'L-' + a + ',' + b + 'V-' + b + 'Z';\n        }\n    },\n    star: {\n        n: 17,\n        f: function(r) {\n            var rs = r * 1.4,\n                x1 = d3.round(rs * 0.225, 2),\n                x2 = d3.round(rs * 0.951, 2),\n                x3 = d3.round(rs * 0.363, 2),\n                x4 = d3.round(rs * 0.588, 2),\n                y0 = d3.round(-rs, 2),\n                y1 = d3.round(rs * -0.309, 2),\n                y3 = d3.round(rs * 0.118, 2),\n                y4 = d3.round(rs * 0.809, 2),\n                y5 = d3.round(rs * 0.382, 2);\n            return 'M' + x1 + ',' + y1 + 'H' + x2 + 'L' + x3 + ',' + y3 +\n                'L' + x4 + ',' + y4 + 'L0,' + y5 + 'L-' + x4 + ',' + y4 +\n                'L-' + x3 + ',' + y3 + 'L-' + x2 + ',' + y1 + 'H-' + x1 +\n                'L0,' + y0 + 'Z';\n        }\n    },\n    hexagram: {\n        n: 18,\n        f: function(r) {\n            var y = d3.round(r * 0.66, 2),\n                x1 = d3.round(r * 0.38, 2),\n                x2 = d3.round(r * 0.76, 2);\n            return 'M-' + x2 + ',0l-' + x1 + ',-' + y + 'h' + x2 +\n                'l' + x1 + ',-' + y + 'l' + x1 + ',' + y + 'h' + x2 +\n                'l-' + x1 + ',' + y + 'l' + x1 + ',' + y + 'h-' + x2 +\n                'l-' + x1 + ',' + y + 'l-' + x1 + ',-' + y + 'h-' + x2 + 'Z';\n        }\n    },\n    'star-triangle-up': {\n        n: 19,\n        f: function(r) {\n            var x = d3.round(r * Math.sqrt(3) * 0.8, 2),\n                y1 = d3.round(r * 0.8, 2),\n                y2 = d3.round(r * 1.6, 2),\n                rc = d3.round(r * 4, 2),\n                aPart = 'A ' + rc + ',' + rc + ' 0 0 1 ';\n            return 'M-' + x + ',' + y1 + aPart + x + ',' + y1 +\n                aPart + '0,-' + y2 + aPart + '-' + x + ',' + y1 + 'Z';\n        }\n    },\n    'star-triangle-down': {\n        n: 20,\n        f: function(r) {\n            var x = d3.round(r * Math.sqrt(3) * 0.8, 2),\n                y1 = d3.round(r * 0.8, 2),\n                y2 = d3.round(r * 1.6, 2),\n                rc = d3.round(r * 4, 2),\n                aPart = 'A ' + rc + ',' + rc + ' 0 0 1 ';\n            return 'M' + x + ',-' + y1 + aPart + '-' + x + ',-' + y1 +\n                aPart + '0,' + y2 + aPart + x + ',-' + y1 + 'Z';\n        }\n    },\n    'star-square': {\n        n: 21,\n        f: function(r) {\n            var rp = d3.round(r * 1.1, 2),\n                rc = d3.round(r * 2, 2),\n                aPart = 'A ' + rc + ',' + rc + ' 0 0 1 ';\n            return 'M-' + rp + ',-' + rp + aPart + '-' + rp + ',' + rp +\n                aPart + rp + ',' + rp + aPart + rp + ',-' + rp +\n                aPart + '-' + rp + ',-' + rp + 'Z';\n        }\n    },\n    'star-diamond': {\n        n: 22,\n        f: function(r) {\n            var rp = d3.round(r * 1.4, 2),\n                rc = d3.round(r * 1.9, 2),\n                aPart = 'A ' + rc + ',' + rc + ' 0 0 1 ';\n            return 'M-' + rp + ',0' + aPart + '0,' + rp +\n                aPart + rp + ',0' + aPart + '0,-' + rp +\n                aPart + '-' + rp + ',0' + 'Z';\n        }\n    },\n    'diamond-tall': {\n        n: 23,\n        f: function(r) {\n            var x = d3.round(r * 0.7, 2),\n                y = d3.round(r * 1.4, 2);\n            return 'M0,' + y + 'L' + x + ',0L0,-' + y + 'L-' + x + ',0Z';\n        }\n    },\n    'diamond-wide': {\n        n: 24,\n        f: function(r) {\n            var x = d3.round(r * 1.4, 2),\n                y = d3.round(r * 0.7, 2);\n            return 'M0,' + y + 'L' + x + ',0L0,-' + y + 'L-' + x + ',0Z';\n        }\n    },\n    hourglass: {\n        n: 25,\n        f: function(r) {\n            var rs = d3.round(r, 2);\n            return 'M' + rs + ',' + rs + 'H-' + rs + 'L' + rs + ',-' + rs + 'H-' + rs + 'Z';\n        },\n        noDot: true\n    },\n    bowtie: {\n        n: 26,\n        f: function(r) {\n            var rs = d3.round(r, 2);\n            return 'M' + rs + ',' + rs + 'V-' + rs + 'L-' + rs + ',' + rs + 'V-' + rs + 'Z';\n        },\n        noDot: true\n    },\n    'circle-cross': {\n        n: 27,\n        f: function(r) {\n            var rs = d3.round(r, 2);\n            return 'M0,' + rs + 'V-' + rs + 'M' + rs + ',0H-' + rs +\n                'M' + rs + ',0A' + rs + ',' + rs + ' 0 1,1 0,-' + rs +\n                'A' + rs + ',' + rs + ' 0 0,1 ' + rs + ',0Z';\n        },\n        needLine: true,\n        noDot: true\n    },\n    'circle-x': {\n        n: 28,\n        f: function(r) {\n            var rs = d3.round(r, 2),\n                rc = d3.round(r / Math.sqrt(2), 2);\n            return 'M' + rc + ',' + rc + 'L-' + rc + ',-' + rc +\n                'M' + rc + ',-' + rc + 'L-' + rc + ',' + rc +\n                'M' + rs + ',0A' + rs + ',' + rs + ' 0 1,1 0,-' + rs +\n                'A' + rs + ',' + rs + ' 0 0,1 ' + rs + ',0Z';\n        },\n        needLine: true,\n        noDot: true\n    },\n    'square-cross': {\n        n: 29,\n        f: function(r) {\n            var rs = d3.round(r, 2);\n            return 'M0,' + rs + 'V-' + rs + 'M' + rs + ',0H-' + rs +\n                'M' + rs + ',' + rs + 'H-' + rs + 'V-' + rs + 'H' + rs + 'Z';\n        },\n        needLine: true,\n        noDot: true\n    },\n    'square-x': {\n        n: 30,\n        f: function(r) {\n            var rs = d3.round(r, 2);\n            return 'M' + rs + ',' + rs + 'L-' + rs + ',-' + rs +\n                'M' + rs + ',-' + rs + 'L-' + rs + ',' + rs +\n                'M' + rs + ',' + rs + 'H-' + rs + 'V-' + rs + 'H' + rs + 'Z';\n        },\n        needLine: true,\n        noDot: true\n    },\n    'diamond-cross': {\n        n: 31,\n        f: function(r) {\n            var rd = d3.round(r * 1.3, 2);\n            return 'M' + rd + ',0L0,' + rd + 'L-' + rd + ',0L0,-' + rd + 'Z' +\n                'M0,-' + rd + 'V' + rd + 'M-' + rd + ',0H' + rd;\n        },\n        needLine: true,\n        noDot: true\n    },\n    'diamond-x': {\n        n: 32,\n        f: function(r) {\n            var rd = d3.round(r * 1.3, 2),\n                r2 = d3.round(r * 0.65, 2);\n            return 'M' + rd + ',0L0,' + rd + 'L-' + rd + ',0L0,-' + rd + 'Z' +\n                'M-' + r2 + ',-' + r2 + 'L' + r2 + ',' + r2 +\n                'M-' + r2 + ',' + r2 + 'L' + r2 + ',-' + r2;\n        },\n        needLine: true,\n        noDot: true\n    },\n    'cross-thin': {\n        n: 33,\n        f: function(r) {\n            var rc = d3.round(r * 1.4, 2);\n            return 'M0,' + rc + 'V-' + rc + 'M' + rc + ',0H-' + rc;\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    },\n    'x-thin': {\n        n: 34,\n        f: function(r) {\n            var rx = d3.round(r, 2);\n            return 'M' + rx + ',' + rx + 'L-' + rx + ',-' + rx +\n                'M' + rx + ',-' + rx + 'L-' + rx + ',' + rx;\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    },\n    asterisk: {\n        n: 35,\n        f: function(r) {\n            var rc = d3.round(r * 1.2, 2);\n            var rs = d3.round(r * 0.85, 2);\n            return 'M0,' + rc + 'V-' + rc + 'M' + rc + ',0H-' + rc +\n                'M' + rs + ',' + rs + 'L-' + rs + ',-' + rs +\n                'M' + rs + ',-' + rs + 'L-' + rs + ',' + rs;\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    },\n    hash: {\n        n: 36,\n        f: function(r) {\n            var r1 = d3.round(r / 2, 2),\n                r2 = d3.round(r, 2);\n            return 'M' + r1 + ',' + r2 + 'V-' + r2 +\n                'm-' + r2 + ',0V' + r2 +\n                'M' + r2 + ',' + r1 + 'H-' + r2 +\n                'm0,-' + r2 + 'H' + r2;\n        },\n        needLine: true,\n        noFill: true\n    },\n    'y-up': {\n        n: 37,\n        f: function(r) {\n            var x = d3.round(r * 1.2, 2),\n                y0 = d3.round(r * 1.6, 2),\n                y1 = d3.round(r * 0.8, 2);\n            return 'M-' + x + ',' + y1 + 'L0,0M' + x + ',' + y1 + 'L0,0M0,-' + y0 + 'L0,0';\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    },\n    'y-down': {\n        n: 38,\n        f: function(r) {\n            var x = d3.round(r * 1.2, 2),\n                y0 = d3.round(r * 1.6, 2),\n                y1 = d3.round(r * 0.8, 2);\n            return 'M-' + x + ',-' + y1 + 'L0,0M' + x + ',-' + y1 + 'L0,0M0,' + y0 + 'L0,0';\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    },\n    'y-left': {\n        n: 39,\n        f: function(r) {\n            var y = d3.round(r * 1.2, 2),\n                x0 = d3.round(r * 1.6, 2),\n                x1 = d3.round(r * 0.8, 2);\n            return 'M' + x1 + ',' + y + 'L0,0M' + x1 + ',-' + y + 'L0,0M-' + x0 + ',0L0,0';\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    },\n    'y-right': {\n        n: 40,\n        f: function(r) {\n            var y = d3.round(r * 1.2, 2),\n                x0 = d3.round(r * 1.6, 2),\n                x1 = d3.round(r * 0.8, 2);\n            return 'M-' + x1 + ',' + y + 'L0,0M-' + x1 + ',-' + y + 'L0,0M' + x0 + ',0L0,0';\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    },\n    'line-ew': {\n        n: 41,\n        f: function(r) {\n            var rc = d3.round(r * 1.4, 2);\n            return 'M' + rc + ',0H-' + rc;\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    },\n    'line-ns': {\n        n: 42,\n        f: function(r) {\n            var rc = d3.round(r * 1.4, 2);\n            return 'M0,' + rc + 'V-' + rc;\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    },\n    'line-ne': {\n        n: 43,\n        f: function(r) {\n            var rx = d3.round(r, 2);\n            return 'M' + rx + ',-' + rx + 'L-' + rx + ',' + rx;\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    },\n    'line-nw': {\n        n: 44,\n        f: function(r) {\n            var rx = d3.round(r, 2);\n            return 'M' + rx + ',' + rx + 'L-' + rx + ',-' + rx;\n        },\n        needLine: true,\n        noDot: true,\n        noFill: true\n    }\n};\n\n},{\"d3\":148}],597:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n    visible: {\n        valType: 'boolean',\n        \n        editType: 'calc',\n        \n    },\n    type: {\n        valType: 'enumerated',\n        values: ['percent', 'constant', 'sqrt', 'data'],\n        \n        editType: 'calc',\n        \n    },\n    symmetric: {\n        valType: 'boolean',\n        \n        editType: 'calc',\n        \n    },\n    array: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    arrayminus: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    value: {\n        valType: 'number',\n        min: 0,\n        dflt: 10,\n        \n        editType: 'calc',\n        \n    },\n    valueminus: {\n        valType: 'number',\n        min: 0,\n        dflt: 10,\n        \n        editType: 'calc',\n        \n    },\n    traceref: {\n        valType: 'integer',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'style'\n    },\n    tracerefminus: {\n        valType: 'integer',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'style'\n    },\n    copy_ystyle: {\n        valType: 'boolean',\n        \n        editType: 'plot'\n    },\n    copy_zstyle: {\n        valType: 'boolean',\n        \n        editType: 'style'\n    },\n    color: {\n        valType: 'color',\n        \n        editType: 'style',\n        \n    },\n    thickness: {\n        valType: 'number',\n        min: 0,\n        dflt: 2,\n        \n        editType: 'style',\n        \n    },\n    width: {\n        valType: 'number',\n        min: 0,\n        \n        editType: 'plot',\n        \n    },\n    editType: 'calc',\n\n    _deprecated: {\n        opacity: {\n            valType: 'number',\n            \n            editType: 'style',\n            \n        }\n    }\n};\n\n},{}],598:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Registry = _dereq_('../../registry');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nvar makeComputeError = _dereq_('./compute_error');\n\n\nmodule.exports = function calc(gd) {\n    var calcdata = gd.calcdata;\n\n    for(var i = 0; i < calcdata.length; i++) {\n        var calcTrace = calcdata[i];\n        var trace = calcTrace[0].trace;\n\n        if(trace.visible === true && Registry.traceIs(trace, 'errorBarsOK')) {\n            var xa = Axes.getFromId(gd, trace.xaxis);\n            var ya = Axes.getFromId(gd, trace.yaxis);\n            calcOneAxis(calcTrace, trace, xa, 'x');\n            calcOneAxis(calcTrace, trace, ya, 'y');\n        }\n    }\n};\n\nfunction calcOneAxis(calcTrace, trace, axis, coord) {\n    var opts = trace['error_' + coord] || {},\n        isVisible = (opts.visible && ['linear', 'log'].indexOf(axis.type) !== -1),\n        vals = [];\n\n    if(!isVisible) return;\n\n    var computeError = makeComputeError(opts);\n\n    for(var i = 0; i < calcTrace.length; i++) {\n        var calcPt = calcTrace[i];\n\n        var iIn = calcPt.i;\n\n        // for types that don't include `i` in each calcdata point\n        if(iIn === undefined) iIn = i;\n\n        // for stacked area inserted points\n        // TODO: errorbars have been tested cursorily with stacked area,\n        // but not thoroughly. It's not even really clear what you want to do:\n        // Should it just be calculated based on that trace's size data?\n        // Should you add errors from below in quadrature?\n        // And what about normalization, where in principle the errors shrink\n        // again when you get up to the top end?\n        // One option would be to forbid errorbars with stacking until we\n        // decide how to handle these questions.\n        else if(iIn === null) continue;\n\n        var calcCoord = calcPt[coord];\n\n        if(!isNumeric(axis.c2l(calcCoord))) continue;\n\n        var errors = computeError(calcCoord, iIn);\n        if(isNumeric(errors[0]) && isNumeric(errors[1])) {\n            var shoe = calcPt[coord + 's'] = calcCoord - errors[0],\n                hat = calcPt[coord + 'h'] = calcCoord + errors[1];\n            vals.push(shoe, hat);\n        }\n    }\n\n    var extremes = Axes.findExtremes(axis, vals, {padded: true});\n    var axId = axis._id;\n    trace._extremes[axId].min = trace._extremes[axId].min.concat(extremes.min);\n    trace._extremes[axId].max = trace._extremes[axId].max.concat(extremes.max);\n}\n\n},{\"../../plots/cartesian/axes\":745,\"../../registry\":828,\"./compute_error\":599,\"fast-isnumeric\":214}],599:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\n/**\n * Error bar computing function generator\n *\n * N.B. The generated function does not clean the dataPt entries. Non-numeric\n * entries result in undefined error magnitudes.\n *\n * @param {object} opts error bar attributes\n *\n * @return {function} :\n *      @param {numeric} dataPt data point from where to compute the error magnitude\n *      @param {number} index index of dataPt in its corresponding data array\n *      @return {array}\n *        - error[0] : error magnitude in the negative direction\n *        - error[1] : \" \" \" \" positive \"\n */\nmodule.exports = function makeComputeError(opts) {\n    var type = opts.type,\n        symmetric = opts.symmetric;\n\n    if(type === 'data') {\n        var array = opts.array || [];\n\n        if(symmetric) {\n            return function computeError(dataPt, index) {\n                var val = +(array[index]);\n                return [val, val];\n            };\n        }\n        else {\n            var arrayminus = opts.arrayminus || [];\n            return function computeError(dataPt, index) {\n                var val = +array[index];\n                var valMinus = +arrayminus[index];\n                // in case one is present and the other is missing, fill in 0\n                // so we still see the present one. Mostly useful during manual\n                // data entry.\n                if(!isNaN(val) || !isNaN(valMinus)) {\n                    return [valMinus || 0, val || 0];\n                }\n                return [NaN, NaN];\n            };\n        }\n    }\n    else {\n        var computeErrorValue = makeComputeErrorValue(type, opts.value),\n            computeErrorValueMinus = makeComputeErrorValue(type, opts.valueminus);\n\n        if(symmetric || opts.valueminus === undefined) {\n            return function computeError(dataPt) {\n                var val = computeErrorValue(dataPt);\n                return [val, val];\n            };\n        }\n        else {\n            return function computeError(dataPt) {\n                return [\n                    computeErrorValueMinus(dataPt),\n                    computeErrorValue(dataPt)\n                ];\n            };\n        }\n    }\n};\n\n/**\n * Compute error bar magnitude (for all types except data)\n *\n * @param {string} type error bar type\n * @param {numeric} value error bar value\n *\n * @return {function} :\n *      @param {numeric} dataPt\n */\nfunction makeComputeErrorValue(type, value) {\n    if(type === 'percent') {\n        return function(dataPt) {\n            return Math.abs(dataPt * value / 100);\n        };\n    }\n    if(type === 'constant') {\n        return function() {\n            return Math.abs(value);\n        };\n    }\n    if(type === 'sqrt') {\n        return function(dataPt) {\n            return Math.sqrt(Math.abs(dataPt));\n        };\n    }\n}\n\n},{}],600:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Template = _dereq_('../../plot_api/plot_template');\n\nvar attributes = _dereq_('./attributes');\n\n\nmodule.exports = function(traceIn, traceOut, defaultColor, opts) {\n    var objName = 'error_' + opts.axis;\n    var containerOut = Template.newContainer(traceOut, objName);\n    var containerIn = traceIn[objName] || {};\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(containerIn, containerOut, attributes, attr, dflt);\n    }\n\n    var hasErrorBars = (\n        containerIn.array !== undefined ||\n        containerIn.value !== undefined ||\n        containerIn.type === 'sqrt'\n    );\n\n    var visible = coerce('visible', hasErrorBars);\n\n    if(visible === false) return;\n\n    var type = coerce('type', 'array' in containerIn ? 'data' : 'percent'),\n        symmetric = true;\n\n    if(type !== 'sqrt') {\n        symmetric = coerce('symmetric',\n            !((type === 'data' ? 'arrayminus' : 'valueminus') in containerIn));\n    }\n\n    if(type === 'data') {\n        coerce('array');\n        coerce('traceref');\n        if(!symmetric) {\n            coerce('arrayminus');\n            coerce('tracerefminus');\n        }\n    }\n    else if(type === 'percent' || type === 'constant') {\n        coerce('value');\n        if(!symmetric) coerce('valueminus');\n    }\n\n    var copyAttr = 'copy_' + opts.inherit + 'style';\n    if(opts.inherit) {\n        var inheritObj = traceOut['error_' + opts.inherit];\n        if((inheritObj || {}).visible) {\n            coerce(copyAttr, !(containerIn.color ||\n                               isNumeric(containerIn.thickness) ||\n                               isNumeric(containerIn.width)));\n        }\n    }\n    if(!opts.inherit || !containerOut[copyAttr]) {\n        coerce('color', defaultColor);\n        coerce('thickness');\n        coerce('width', Registry.traceIs(traceOut, 'gl3d') ? 0 : 4);\n    }\n};\n\n},{\"../../lib\":696,\"../../plot_api/plot_template\":735,\"../../registry\":828,\"./attributes\":597,\"fast-isnumeric\":214}],601:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\nvar attributes = _dereq_('./attributes');\n\nvar xyAttrs = {\n    error_x: Lib.extendFlat({}, attributes),\n    error_y: Lib.extendFlat({}, attributes)\n};\ndelete xyAttrs.error_x.copy_zstyle;\ndelete xyAttrs.error_y.copy_zstyle;\ndelete xyAttrs.error_y.copy_ystyle;\n\nvar xyzAttrs = {\n    error_x: Lib.extendFlat({}, attributes),\n    error_y: Lib.extendFlat({}, attributes),\n    error_z: Lib.extendFlat({}, attributes)\n};\ndelete xyzAttrs.error_x.copy_ystyle;\ndelete xyzAttrs.error_y.copy_ystyle;\ndelete xyzAttrs.error_z.copy_ystyle;\ndelete xyzAttrs.error_z.copy_zstyle;\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'errorbars',\n\n    schema: {\n        traces: {\n            scatter: xyAttrs,\n            bar: xyAttrs,\n            histogram: xyAttrs,\n            scatter3d: overrideAll(xyzAttrs, 'calc', 'nested'),\n            scattergl: overrideAll(xyAttrs, 'calc', 'nested')\n        }\n    },\n\n    supplyDefaults: _dereq_('./defaults'),\n\n    calc: _dereq_('./calc'),\n    makeComputeError: _dereq_('./compute_error'),\n\n    plot: _dereq_('./plot'),\n    style: _dereq_('./style'),\n    hoverInfo: hoverInfo\n};\n\nfunction hoverInfo(calcPoint, trace, hoverPoint) {\n    if((trace.error_y || {}).visible) {\n        hoverPoint.yerr = calcPoint.yh - calcPoint.y;\n        if(!trace.error_y.symmetric) hoverPoint.yerrneg = calcPoint.y - calcPoint.ys;\n    }\n    if((trace.error_x || {}).visible) {\n        hoverPoint.xerr = calcPoint.xh - calcPoint.x;\n        if(!trace.error_x.symmetric) hoverPoint.xerrneg = calcPoint.x - calcPoint.xs;\n    }\n}\n\n},{\"../../lib\":696,\"../../plot_api/edit_types\":728,\"./attributes\":597,\"./calc\":598,\"./compute_error\":599,\"./defaults\":600,\"./plot\":602,\"./style\":603}],602:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Drawing = _dereq_('../drawing');\nvar subTypes = _dereq_('../../traces/scatter/subtypes');\n\nmodule.exports = function plot(traces, plotinfo, transitionOpts) {\n    var isNew;\n\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n\n    var hasAnimation = transitionOpts && transitionOpts.duration > 0;\n\n    traces.each(function(d) {\n        var trace = d[0].trace,\n            // || {} is in case the trace (specifically scatterternary)\n            // doesn't support error bars at all, but does go through\n            // the scatter.plot mechanics, which calls ErrorBars.plot\n            // internally\n            xObj = trace.error_x || {},\n            yObj = trace.error_y || {};\n\n        var keyFunc;\n\n        if(trace.ids) {\n            keyFunc = function(d) {return d.id;};\n        }\n\n        var sparse = (\n            subTypes.hasMarkers(trace) &&\n            trace.marker.maxdisplayed > 0\n        );\n\n        if(!yObj.visible && !xObj.visible) d = [];\n\n        var errorbars = d3.select(this).selectAll('g.errorbar')\n            .data(d, keyFunc);\n\n        errorbars.exit().remove();\n\n        if(!d.length) return;\n\n        if(!xObj.visible) errorbars.selectAll('path.xerror').remove();\n        if(!yObj.visible) errorbars.selectAll('path.yerror').remove();\n\n        errorbars.style('opacity', 1);\n\n        var enter = errorbars.enter().append('g')\n            .classed('errorbar', true);\n\n        if(hasAnimation) {\n            enter.style('opacity', 0).transition()\n                .duration(transitionOpts.duration)\n                .style('opacity', 1);\n        }\n\n        Drawing.setClipUrl(errorbars, plotinfo.layerClipId);\n\n        errorbars.each(function(d) {\n            var errorbar = d3.select(this);\n            var coords = errorCoords(d, xa, ya);\n\n            if(sparse && !d.vis) return;\n\n            var path;\n\n            var yerror = errorbar.select('path.yerror');\n            if(yObj.visible && isNumeric(coords.x) &&\n                    isNumeric(coords.yh) &&\n                    isNumeric(coords.ys)) {\n                var yw = yObj.width;\n\n                path = 'M' + (coords.x - yw) + ',' +\n                    coords.yh + 'h' + (2 * yw) + // hat\n                    'm-' + yw + ',0V' + coords.ys; // bar\n\n\n                if(!coords.noYS) path += 'm-' + yw + ',0h' + (2 * yw); // shoe\n\n                isNew = !yerror.size();\n\n                if(isNew) {\n                    yerror = errorbar.append('path')\n                        .style('vector-effect', 'non-scaling-stroke')\n                        .classed('yerror', true);\n                } else if(hasAnimation) {\n                    yerror = yerror\n                        .transition()\n                            .duration(transitionOpts.duration)\n                            .ease(transitionOpts.easing);\n                }\n\n                yerror.attr('d', path);\n            }\n            else yerror.remove();\n\n            var xerror = errorbar.select('path.xerror');\n            if(xObj.visible && isNumeric(coords.y) &&\n                    isNumeric(coords.xh) &&\n                    isNumeric(coords.xs)) {\n                var xw = (xObj.copy_ystyle ? yObj : xObj).width;\n\n                path = 'M' + coords.xh + ',' +\n                    (coords.y - xw) + 'v' + (2 * xw) + // hat\n                    'm0,-' + xw + 'H' + coords.xs; // bar\n\n                if(!coords.noXS) path += 'm0,-' + xw + 'v' + (2 * xw); // shoe\n\n                isNew = !xerror.size();\n\n                if(isNew) {\n                    xerror = errorbar.append('path')\n                        .style('vector-effect', 'non-scaling-stroke')\n                        .classed('xerror', true);\n                } else if(hasAnimation) {\n                    xerror = xerror\n                        .transition()\n                            .duration(transitionOpts.duration)\n                            .ease(transitionOpts.easing);\n                }\n\n                xerror.attr('d', path);\n            }\n            else xerror.remove();\n        });\n    });\n};\n\n// compute the coordinates of the error-bar objects\nfunction errorCoords(d, xa, ya) {\n    var out = {\n        x: xa.c2p(d.x),\n        y: ya.c2p(d.y)\n    };\n\n    // calculate the error bar size and hat and shoe locations\n    if(d.yh !== undefined) {\n        out.yh = ya.c2p(d.yh);\n        out.ys = ya.c2p(d.ys);\n\n        // if the shoes go off-scale (ie log scale, error bars past zero)\n        // clip the bar and hide the shoes\n        if(!isNumeric(out.ys)) {\n            out.noYS = true;\n            out.ys = ya.c2p(d.ys, true);\n        }\n    }\n\n    if(d.xh !== undefined) {\n        out.xh = xa.c2p(d.xh);\n        out.xs = xa.c2p(d.xs);\n\n        if(!isNumeric(out.xs)) {\n            out.noXS = true;\n            out.xs = xa.c2p(d.xs, true);\n        }\n    }\n\n    return out;\n}\n\n},{\"../../traces/scatter/subtypes\":1068,\"../drawing\":595,\"d3\":148,\"fast-isnumeric\":214}],603:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Color = _dereq_('../color');\n\n\nmodule.exports = function style(traces) {\n    traces.each(function(d) {\n        var trace = d[0].trace,\n            yObj = trace.error_y || {},\n            xObj = trace.error_x || {};\n\n        var s = d3.select(this);\n\n        s.selectAll('path.yerror')\n            .style('stroke-width', yObj.thickness + 'px')\n            .call(Color.stroke, yObj.color);\n\n        if(xObj.copy_ystyle) xObj = yObj;\n\n        s.selectAll('path.xerror')\n            .style('stroke-width', xObj.thickness + 'px')\n            .call(Color.stroke, xObj.color);\n    });\n};\n\n},{\"../color\":570,\"d3\":148}],604:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fontAttrs = _dereq_('../../plots/font_attributes');\n\nmodule.exports = {\n    hoverlabel: {\n        bgcolor: {\n            valType: 'color',\n            \n            arrayOk: true,\n            editType: 'none',\n            \n        },\n        bordercolor: {\n            valType: 'color',\n            \n            arrayOk: true,\n            editType: 'none',\n            \n        },\n        font: fontAttrs({\n            arrayOk: true,\n            editType: 'none',\n            \n        }),\n        namelength: {\n            valType: 'integer',\n            min: -1,\n            arrayOk: true,\n            \n            editType: 'none',\n            \n        },\n        editType: 'calc'\n    }\n};\n\n},{\"../../plots/font_attributes\":772}],605:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Registry = _dereq_('../../registry');\n\nmodule.exports = function calc(gd) {\n    var calcdata = gd.calcdata;\n    var fullLayout = gd._fullLayout;\n\n    function makeCoerceHoverInfo(trace) {\n        return function(val) {\n            return Lib.coerceHoverinfo({hoverinfo: val}, {_module: trace._module}, fullLayout);\n        };\n    }\n\n    for(var i = 0; i < calcdata.length; i++) {\n        var cd = calcdata[i];\n        var trace = cd[0].trace;\n\n        // don't include hover calc fields for pie traces\n        // as calcdata items might be sorted by value and\n        // won't match the data array order.\n        if(Registry.traceIs(trace, 'pie')) continue;\n\n        var fillFn = Registry.traceIs(trace, '2dMap') ? paste : Lib.fillArray;\n\n        fillFn(trace.hoverinfo, cd, 'hi', makeCoerceHoverInfo(trace));\n\n        if(!trace.hoverlabel) continue;\n\n        fillFn(trace.hoverlabel.bgcolor, cd, 'hbg');\n        fillFn(trace.hoverlabel.bordercolor, cd, 'hbc');\n        fillFn(trace.hoverlabel.font.size, cd, 'hts');\n        fillFn(trace.hoverlabel.font.color, cd, 'htc');\n        fillFn(trace.hoverlabel.font.family, cd, 'htf');\n        fillFn(trace.hoverlabel.namelength, cd, 'hnl');\n    }\n};\n\nfunction paste(traceAttr, cd, cdAttr, fn) {\n    fn = fn || Lib.identity;\n\n    if(Array.isArray(traceAttr)) {\n        cd[0][cdAttr] = fn(traceAttr);\n    }\n}\n\n},{\"../../lib\":696,\"../../registry\":828}],606:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar hover = _dereq_('./hover').hover;\n\nmodule.exports = function click(gd, evt, subplot) {\n    var annotationsDone = Registry.getComponentMethod('annotations', 'onClick')(gd, gd._hoverdata);\n\n    // fallback to fail-safe in case the plot type's hover method doesn't pass the subplot.\n    // Ternary, for example, didn't, but it was caught because tested.\n    if(subplot !== undefined) {\n        // The true flag at the end causes it to re-run the hover computation to figure out *which*\n        // point is being clicked. Without this, clicking is somewhat unreliable.\n        hover(gd, evt, subplot, true);\n    }\n\n    function emitClick() { gd.emit('plotly_click', {points: gd._hoverdata, event: evt}); }\n\n    if(gd._hoverdata && evt && evt.target) {\n        if(annotationsDone && annotationsDone.then) {\n            annotationsDone.then(emitClick);\n        }\n        else emitClick();\n\n        // why do we get a double event without this???\n        if(evt.stopImmediatePropagation) evt.stopImmediatePropagation();\n    }\n};\n\n},{\"../../registry\":828,\"./hover\":610}],607:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    // hover labels for multiple horizontal bars get tilted by this angle\n    YANGLE: 60,\n\n    // size and display constants for hover text\n\n    // pixel size of hover arrows\n    HOVERARROWSIZE: 6,\n    // pixels padding around text\n    HOVERTEXTPAD: 3,\n    // hover font\n    HOVERFONTSIZE: 13,\n    HOVERFONT: 'Arial, sans-serif',\n\n    // minimum time (msec) between hover calls\n    HOVERMINTIME: 50,\n\n    // ID suffix (with fullLayout._uid) for hover events in the throttle cache\n    HOVERID: '-hover'\n};\n\n},{}],608:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar attributes = _dereq_('./attributes');\nvar handleHoverLabelDefaults = _dereq_('./hoverlabel_defaults');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    handleHoverLabelDefaults(traceIn, traceOut, coerce, layout.hoverlabel);\n};\n\n},{\"../../lib\":696,\"./attributes\":604,\"./hoverlabel_defaults\":611}],609:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\n// look for either subplot or xaxis and yaxis attributes\n// does not handle splom case\nexports.getSubplot = function getSubplot(trace) {\n    return trace.subplot || (trace.xaxis + trace.yaxis) || trace.geo;\n};\n\n// is trace in given list of subplots?\n// does handle splom case\nexports.isTraceInSubplots = function isTraceInSubplot(trace, subplots) {\n    if(trace.type === 'splom') {\n        var xaxes = trace.xaxes || [];\n        var yaxes = trace.yaxes || [];\n        for(var i = 0; i < xaxes.length; i++) {\n            for(var j = 0; j < yaxes.length; j++) {\n                if(subplots.indexOf(xaxes[i] + yaxes[j]) !== -1) {\n                    return true;\n                }\n            }\n        }\n        return false;\n    }\n\n    return subplots.indexOf(exports.getSubplot(trace)) !== -1;\n};\n\n// convenience functions for mapping all relevant axes\nexports.flat = function flat(subplots, v) {\n    var out = new Array(subplots.length);\n    for(var i = 0; i < subplots.length; i++) {\n        out[i] = v;\n    }\n    return out;\n};\n\nexports.p2c = function p2c(axArray, v) {\n    var out = new Array(axArray.length);\n    for(var i = 0; i < axArray.length; i++) {\n        out[i] = axArray[i].p2c(v);\n    }\n    return out;\n};\n\nexports.getDistanceFunction = function getDistanceFunction(mode, dx, dy, dxy) {\n    if(mode === 'closest') return dxy || exports.quadrature(dx, dy);\n    return mode === 'x' ? dx : dy;\n};\n\nexports.getClosest = function getClosest(cd, distfn, pointData) {\n    // do we already have a point number? (array mode only)\n    if(pointData.index !== false) {\n        if(pointData.index >= 0 && pointData.index < cd.length) {\n            pointData.distance = 0;\n        }\n        else pointData.index = false;\n    }\n    else {\n        // apply the distance function to each data point\n        // this is the longest loop... if this bogs down, we may need\n        // to create pre-sorted data (by x or y), not sure how to\n        // do this for 'closest'\n        for(var i = 0; i < cd.length; i++) {\n            var newDistance = distfn(cd[i]);\n            if(newDistance <= pointData.distance) {\n                pointData.index = i;\n                pointData.distance = newDistance;\n            }\n        }\n    }\n    return pointData;\n};\n\n/*\n * pseudo-distance function for hover effects on areas: inside the region\n * distance is finite (`passVal`), outside it's Infinity.\n *\n * @param {number} v0: signed difference between the current position and the left edge\n * @param {number} v1: signed difference between the current position and the right edge\n * @param {number} passVal: the value to return on success\n */\nexports.inbox = function inbox(v0, v1, passVal) {\n    return (v0 * v1 < 0 || v0 === 0) ? passVal : Infinity;\n};\n\nexports.quadrature = function quadrature(dx, dy) {\n    return function(di) {\n        var x = dx(di),\n            y = dy(di);\n        return Math.sqrt(x * x + y * y);\n    };\n};\n\n/** Fill event data point object for hover and selection.\n *  Invokes _module.eventData if present.\n *\n * N.B. note that point 'index' corresponds to input data array index\n *  whereas 'number' is its post-transform version.\n *\n * If the hovered/selected pt corresponds to an multiple input points\n * (e.g. for histogram and transformed traces), 'pointNumbers` and 'pointIndices'\n * are include in the event data.\n *\n * @param {object} pt\n * @param {object} trace\n * @param {object} cd\n * @return {object}\n */\nexports.makeEventData = function makeEventData(pt, trace, cd) {\n    // hover uses 'index', select uses 'pointNumber'\n    var pointNumber = 'index' in pt ? pt.index : pt.pointNumber;\n\n    var out = {\n        data: trace._input,\n        fullData: trace,\n        curveNumber: trace.index,\n        pointNumber: pointNumber\n    };\n\n    if(trace._indexToPoints) {\n        var pointIndices = trace._indexToPoints[pointNumber];\n\n        if(pointIndices.length === 1) {\n            out.pointIndex = pointIndices[0];\n        } else {\n            out.pointIndices = pointIndices;\n        }\n    } else {\n        out.pointIndex = pointNumber;\n    }\n\n    if(trace._module.eventData) {\n        out = trace._module.eventData(out, pt, trace, cd, pointNumber);\n    } else {\n        if('xVal' in pt) out.x = pt.xVal;\n        else if('x' in pt) out.x = pt.x;\n\n        if('yVal' in pt) out.y = pt.yVal;\n        else if('y' in pt) out.y = pt.y;\n\n        if(pt.xa) out.xaxis = pt.xa;\n        if(pt.ya) out.yaxis = pt.ya;\n        if(pt.zLabelVal !== undefined) out.z = pt.zLabelVal;\n    }\n\n    exports.appendArrayPointValue(out, trace, pointNumber);\n\n    return out;\n};\n\n/** Appends values inside array attributes corresponding to given point number\n *\n * @param {object} pointData : point data object (gets mutated here)\n * @param {object} trace : full trace object\n * @param {number|Array(number)} pointNumber : point number. May be a length-2 array\n *     [row, col] to dig into 2D arrays\n */\nexports.appendArrayPointValue = function(pointData, trace, pointNumber) {\n    var arrayAttrs = trace._arrayAttrs;\n\n    if(!arrayAttrs) {\n        return;\n    }\n\n    for(var i = 0; i < arrayAttrs.length; i++) {\n        var astr = arrayAttrs[i];\n        var key = getPointKey(astr);\n\n        if(pointData[key] === undefined) {\n            var val = Lib.nestedProperty(trace, astr).get();\n            var pointVal = getPointData(val, pointNumber);\n\n            if(pointVal !== undefined) pointData[key] = pointVal;\n        }\n    }\n};\n\n/**\n * Appends values inside array attributes corresponding to given point number array\n * For use when pointData references a plot entity that arose (or potentially arose)\n * from multiple points in the input data\n *\n * @param {object} pointData : point data object (gets mutated here)\n * @param {object} trace : full trace object\n * @param {Array(number)|Array(Array(number))} pointNumbers : Array of point numbers.\n *     Each entry in the array may itself be a length-2 array [row, col] to dig into 2D arrays\n */\nexports.appendArrayMultiPointValues = function(pointData, trace, pointNumbers) {\n    var arrayAttrs = trace._arrayAttrs;\n\n    if(!arrayAttrs) {\n        return;\n    }\n\n    for(var i = 0; i < arrayAttrs.length; i++) {\n        var astr = arrayAttrs[i];\n        var key = getPointKey(astr);\n\n        if(pointData[key] === undefined) {\n            var val = Lib.nestedProperty(trace, astr).get();\n            var keyVal = new Array(pointNumbers.length);\n\n            for(var j = 0; j < pointNumbers.length; j++) {\n                keyVal[j] = getPointData(val, pointNumbers[j]);\n            }\n            pointData[key] = keyVal;\n        }\n    }\n};\n\nvar pointKeyMap = {\n    ids: 'id',\n    locations: 'location',\n    labels: 'label',\n    values: 'value',\n    'marker.colors': 'color'\n};\n\nfunction getPointKey(astr) {\n    return pointKeyMap[astr] || astr;\n}\n\nfunction getPointData(val, pointNumber) {\n    if(Array.isArray(pointNumber)) {\n        if(Array.isArray(val) && Array.isArray(val[pointNumber[0]])) {\n            return val[pointNumber[0]][pointNumber[1]];\n        }\n    } else {\n        return val[pointNumber];\n    }\n}\n\n},{\"../../lib\":696}],610:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\nvar tinycolor = _dereq_('tinycolor2');\n\nvar Lib = _dereq_('../../lib');\nvar Events = _dereq_('../../lib/events');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar overrideCursor = _dereq_('../../lib/override_cursor');\nvar Drawing = _dereq_('../drawing');\nvar Color = _dereq_('../color');\nvar dragElement = _dereq_('../dragelement');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Registry = _dereq_('../../registry');\n\nvar helpers = _dereq_('./helpers');\nvar constants = _dereq_('./constants');\n\n// hover labels for multiple horizontal bars get tilted by some angle,\n// then need to be offset differently if they overlap\nvar YANGLE = constants.YANGLE;\nvar YA_RADIANS = Math.PI * YANGLE / 180;\n\n// expansion of projected height\nvar YFACTOR = 1 / Math.sin(YA_RADIANS);\n\n// to make the appropriate post-rotation x offset,\n// you need both x and y offsets\nvar YSHIFTX = Math.cos(YA_RADIANS);\nvar YSHIFTY = Math.sin(YA_RADIANS);\n\n// size and display constants for hover text\nvar HOVERARROWSIZE = constants.HOVERARROWSIZE;\nvar HOVERTEXTPAD = constants.HOVERTEXTPAD;\n\n// fx.hover: highlight data on hover\n// evt can be a mousemove event, or an object with data about what points\n//   to hover on\n//      {xpx,ypx[,hovermode]} - pixel locations from top left\n//          (with optional overriding hovermode)\n//      {xval,yval[,hovermode]} - data values\n//      [{curveNumber,(pointNumber|xval and/or yval)}] -\n//              array of specific points to highlight\n//          pointNumber is a single integer if gd.data[curveNumber] is 1D,\n//              or a two-element array if it's 2D\n//          xval and yval are data values,\n//              1D data may specify either or both,\n//              2D data must specify both\n// subplot is an id string (default \"xy\")\n// makes use of gl.hovermode, which can be:\n//      x (find the points with the closest x values, ie a column),\n//      closest (find the single closest point)\n//    internally there are two more that occasionally get used:\n//      y (pick out a row - only used for multiple horizontal bar charts)\n//      array (used when the user specifies an explicit\n//          array of points to hover on)\n//\n// We wrap the hovers in a timer, to limit their frequency.\n// The actual rendering is done by private function _hover.\nexports.hover = function hover(gd, evt, subplot, noHoverEvent) {\n    gd = Lib.getGraphDiv(gd);\n\n    Lib.throttle(\n        gd._fullLayout._uid + constants.HOVERID,\n        constants.HOVERMINTIME,\n        function() { _hover(gd, evt, subplot, noHoverEvent); }\n    );\n};\n\n/*\n * Draw a single hover item in a pre-existing svg container somewhere\n * hoverItem should have keys:\n *    - x and y (or x0, x1, y0, and y1):\n *      the pixel position to mark, relative to opts.container\n *    - xLabel, yLabel, zLabel, text, and name:\n *      info to go in the label\n *    - color:\n *      the background color for the label.\n *    - idealAlign (optional):\n *      'left' or 'right' for which side of the x/y box to try to put this on first\n *    - borderColor (optional):\n *      color for the border, defaults to strongest contrast with color\n *    - fontFamily (optional):\n *      string, the font for this label, defaults to constants.HOVERFONT\n *    - fontSize (optional):\n *      the label font size, defaults to constants.HOVERFONTSIZE\n *    - fontColor (optional):\n *      defaults to borderColor\n * opts should have keys:\n *    - bgColor:\n *      the background color this is against, used if the trace is\n *      non-opaque, and for the name, which goes outside the box\n *    - container:\n *      a <svg> or <g> element to add the hover label to\n *    - outerContainer:\n *      normally a parent of `container`, sets the bounding box to use to\n *      constrain the hover label and determine whether to show it on the left or right\n */\nexports.loneHover = function loneHover(hoverItem, opts) {\n    var pointData = {\n        color: hoverItem.color || Color.defaultLine,\n        x0: hoverItem.x0 || hoverItem.x || 0,\n        x1: hoverItem.x1 || hoverItem.x || 0,\n        y0: hoverItem.y0 || hoverItem.y || 0,\n        y1: hoverItem.y1 || hoverItem.y || 0,\n        xLabel: hoverItem.xLabel,\n        yLabel: hoverItem.yLabel,\n        zLabel: hoverItem.zLabel,\n        text: hoverItem.text,\n        name: hoverItem.name,\n        idealAlign: hoverItem.idealAlign,\n\n        // optional extra bits of styling\n        borderColor: hoverItem.borderColor,\n        fontFamily: hoverItem.fontFamily,\n        fontSize: hoverItem.fontSize,\n        fontColor: hoverItem.fontColor,\n\n        // filler to make createHoverText happy\n        trace: {\n            index: 0,\n            hoverinfo: ''\n        },\n        xa: {_offset: 0},\n        ya: {_offset: 0},\n        index: 0\n    };\n\n    var container3 = d3.select(opts.container);\n    var outerContainer3 = opts.outerContainer ?\n        d3.select(opts.outerContainer) : container3;\n\n    var fullOpts = {\n        hovermode: 'closest',\n        rotateLabels: false,\n        bgColor: opts.bgColor || Color.background,\n        container: container3,\n        outerContainer: outerContainer3\n    };\n\n    var hoverLabel = createHoverText([pointData], fullOpts, opts.gd);\n    alignHoverText(hoverLabel, fullOpts.rotateLabels);\n\n    return hoverLabel.node();\n};\n\nexports.multiHovers = function multiHovers(hoverItems, opts) {\n\n    if(!Array.isArray(hoverItems)) {\n        hoverItems = [hoverItems];\n    }\n\n    var pointsData = hoverItems.map(function(hoverItem) {\n        return {\n            color: hoverItem.color || Color.defaultLine,\n            x0: hoverItem.x0 || hoverItem.x || 0,\n            x1: hoverItem.x1 || hoverItem.x || 0,\n            y0: hoverItem.y0 || hoverItem.y || 0,\n            y1: hoverItem.y1 || hoverItem.y || 0,\n            xLabel: hoverItem.xLabel,\n            yLabel: hoverItem.yLabel,\n            zLabel: hoverItem.zLabel,\n            text: hoverItem.text,\n            name: hoverItem.name,\n            idealAlign: hoverItem.idealAlign,\n\n            // optional extra bits of styling\n            borderColor: hoverItem.borderColor,\n            fontFamily: hoverItem.fontFamily,\n            fontSize: hoverItem.fontSize,\n            fontColor: hoverItem.fontColor,\n\n            // filler to make createHoverText happy\n            trace: {\n                index: 0,\n                hoverinfo: ''\n            },\n            xa: {_offset: 0},\n            ya: {_offset: 0},\n            index: 0\n        };\n    });\n\n\n    var container3 = d3.select(opts.container),\n        outerContainer3 = opts.outerContainer ?\n            d3.select(opts.outerContainer) : container3;\n\n    var fullOpts = {\n        hovermode: 'closest',\n        rotateLabels: false,\n        bgColor: opts.bgColor || Color.background,\n        container: container3,\n        outerContainer: outerContainer3\n    };\n\n    var hoverLabel = createHoverText(pointsData, fullOpts, opts.gd);\n\n    // Fix vertical overlap\n    var tooltipSpacing = 5;\n    var lastBottomY = 0;\n    hoverLabel\n        .sort(function(a, b) {return a.y0 - b.y0;})\n        .each(function(d) {\n            var topY = d.y0 - d.by / 2;\n\n            if((topY - tooltipSpacing) < lastBottomY) {\n                d.offset = (lastBottomY - topY) + tooltipSpacing;\n            } else {\n                d.offset = 0;\n            }\n\n            lastBottomY = topY + d.by + d.offset;\n        });\n\n\n    alignHoverText(hoverLabel, fullOpts.rotateLabels);\n\n    return hoverLabel.node();\n};\n\n// The actual implementation is here:\nfunction _hover(gd, evt, subplot, noHoverEvent) {\n    if(!subplot) subplot = 'xy';\n\n    // if the user passed in an array of subplots,\n    // use those instead of finding overlayed plots\n    var subplots = Array.isArray(subplot) ? subplot : [subplot];\n\n    var fullLayout = gd._fullLayout;\n    var plots = fullLayout._plots || [];\n    var plotinfo = plots[subplot];\n    var hasCartesian = fullLayout._has('cartesian');\n\n    // list of all overlaid subplots to look at\n    if(plotinfo) {\n        var overlayedSubplots = plotinfo.overlays.map(function(pi) {\n            return pi.id;\n        });\n\n        subplots = subplots.concat(overlayedSubplots);\n    }\n\n    var len = subplots.length;\n    var xaArray = new Array(len);\n    var yaArray = new Array(len);\n    var supportsCompare = false;\n\n    for(var i = 0; i < len; i++) {\n        var spId = subplots[i];\n\n        // 'cartesian' case\n        var plotObj = plots[spId];\n        if(plotObj) {\n            supportsCompare = true;\n\n            // TODO make sure that fullLayout_plots axis refs\n            // get updated properly so that we don't have\n            // to use Axes.getFromId in general.\n\n            xaArray[i] = Axes.getFromId(gd, plotObj.xaxis._id);\n            yaArray[i] = Axes.getFromId(gd, plotObj.yaxis._id);\n            continue;\n        }\n\n        // other subplot types\n        var _subplot = fullLayout[spId]._subplot;\n        xaArray[i] = _subplot.xaxis;\n        yaArray[i] = _subplot.yaxis;\n    }\n\n    var hovermode = evt.hovermode || fullLayout.hovermode;\n\n    if(hovermode && !supportsCompare) hovermode = 'closest';\n\n    if(['x', 'y', 'closest'].indexOf(hovermode) === -1 || !gd.calcdata ||\n            gd.querySelector('.zoombox') || gd._dragging) {\n        return dragElement.unhoverRaw(gd, evt);\n    }\n\n    var hoverdistance = fullLayout.hoverdistance === -1 ? Infinity : fullLayout.hoverdistance;\n    var spikedistance = fullLayout.spikedistance === -1 ? Infinity : fullLayout.spikedistance;\n\n    // hoverData: the set of candidate points we've found to highlight\n    var hoverData = [];\n\n    // searchData: the data to search in. Mostly this is just a copy of\n    // gd.calcdata, filtered to the subplot and overlays we're on\n    // but if a point array is supplied it will be a mapping\n    // of indicated curves\n    var searchData = [];\n\n    // [x|y]valArray: the axis values of the hover event\n    // mapped onto each of the currently selected overlaid subplots\n    var xvalArray, yvalArray;\n\n    var itemnum, curvenum, cd, trace, subplotId, subploti, mode,\n        xval, yval, pointData, closedataPreviousLength;\n\n    // spikePoints: the set of candidate points we've found to draw spikes to\n    var spikePoints = {\n        hLinePoint: null,\n        vLinePoint: null\n    };\n\n    // does subplot have one (or more) horizontal traces?\n    // This is used to determine whether we rotate the labels or not\n    var hasOneHorizontalTrace = false;\n\n    // Figure out what we're hovering on:\n    // mouse location or user-supplied data\n\n    if(Array.isArray(evt)) {\n        // user specified an array of points to highlight\n        hovermode = 'array';\n        for(itemnum = 0; itemnum < evt.length; itemnum++) {\n            cd = gd.calcdata[evt[itemnum].curveNumber||0];\n            trace = cd[0].trace;\n            if(cd[0].trace.hoverinfo !== 'skip') {\n                searchData.push(cd);\n                if(trace.orientation === 'h') {\n                    hasOneHorizontalTrace = true;\n                }\n            }\n        }\n    }\n    else {\n        for(curvenum = 0; curvenum < gd.calcdata.length; curvenum++) {\n            cd = gd.calcdata[curvenum];\n            trace = cd[0].trace;\n            if(trace.hoverinfo !== 'skip' && helpers.isTraceInSubplots(trace, subplots)) {\n                searchData.push(cd);\n                if(trace.orientation === 'h') {\n                    hasOneHorizontalTrace = true;\n                }\n            }\n        }\n\n        // [x|y]px: the pixels (from top left) of the mouse location\n        // on the currently selected plot area\n        // add pointerX|Y property for drawing the spikes in spikesnap 'cursor' situation\n        var hasUserCalledHover = !evt.target;\n        var xpx, ypx;\n\n        if(hasUserCalledHover) {\n            if('xpx' in evt) xpx = evt.xpx;\n            else xpx = xaArray[0]._length / 2;\n\n            if('ypx' in evt) ypx = evt.ypx;\n            else ypx = yaArray[0]._length / 2;\n        }\n        else {\n            // fire the beforehover event and quit if it returns false\n            // note that we're only calling this on real mouse events, so\n            // manual calls to fx.hover will always run.\n            if(Events.triggerHandler(gd, 'plotly_beforehover', evt) === false) {\n                return;\n            }\n\n            var dbb = evt.target.getBoundingClientRect();\n\n            xpx = evt.clientX - dbb.left;\n            ypx = evt.clientY - dbb.top;\n\n            // in case hover was called from mouseout into hovertext,\n            // it's possible you're not actually over the plot anymore\n            if(xpx < 0 || xpx > xaArray[0]._length || ypx < 0 || ypx > yaArray[0]._length) {\n                return dragElement.unhoverRaw(gd, evt);\n            }\n        }\n\n        evt.pointerX = xpx + xaArray[0]._offset;\n        evt.pointerY = ypx + yaArray[0]._offset;\n\n        if('xval' in evt) xvalArray = helpers.flat(subplots, evt.xval);\n        else xvalArray = helpers.p2c(xaArray, xpx);\n\n        if('yval' in evt) yvalArray = helpers.flat(subplots, evt.yval);\n        else yvalArray = helpers.p2c(yaArray, ypx);\n\n        if(!isNumeric(xvalArray[0]) || !isNumeric(yvalArray[0])) {\n            Lib.warn('Fx.hover failed', evt, gd);\n            return dragElement.unhoverRaw(gd, evt);\n        }\n    }\n\n    // the pixel distance to beat as a matching point\n    // in 'x' or 'y' mode this resets for each trace\n    var distance = Infinity;\n\n    // find the closest point in each trace\n    // this is minimum dx and/or dy, depending on mode\n    // and the pixel position for the label (labelXpx, labelYpx)\n    for(curvenum = 0; curvenum < searchData.length; curvenum++) {\n        cd = searchData[curvenum];\n\n        // filter out invisible or broken data\n        if(!cd || !cd[0] || !cd[0].trace || cd[0].trace.visible !== true) continue;\n\n        trace = cd[0].trace;\n\n        // Explicitly bail out for these two. I don't know how to otherwise prevent\n        // the rest of this function from running and failing\n        if(['carpet', 'contourcarpet'].indexOf(trace._module.name) !== -1) continue;\n\n        if(trace.type === 'splom') {\n            // splom traces do not generate overlay subplots,\n            // it is safe to assume here splom traces correspond to the 0th subplot\n            subploti = 0;\n            subplotId = subplots[subploti];\n        } else {\n            subplotId = helpers.getSubplot(trace);\n            subploti = subplots.indexOf(subplotId);\n        }\n\n        // within one trace mode can sometimes be overridden\n        mode = hovermode;\n\n        // container for new point, also used to pass info into module.hoverPoints\n        pointData = {\n            // trace properties\n            cd: cd,\n            trace: trace,\n            xa: xaArray[subploti],\n            ya: yaArray[subploti],\n\n            // max distances for hover and spikes - for points that want to show but do not\n            // want to override other points, set distance/spikeDistance equal to max*Distance\n            // and it will not get filtered out but it will be guaranteed to have a greater\n            // distance than any point that calculated a real distance.\n            maxHoverDistance: hoverdistance,\n            maxSpikeDistance: spikedistance,\n\n            // point properties - override all of these\n            index: false, // point index in trace - only used by plotly.js hoverdata consumers\n            distance: Math.min(distance, hoverdistance), // pixel distance or pseudo-distance\n\n            // distance/pseudo-distance for spikes. This distance should always be calculated\n            // as if in \"closest\" mode, and should only be set if this point should\n            // generate a spike.\n            spikeDistance: Infinity,\n\n            // in some cases the spikes have different positioning from the hover label\n            // they don't need x0/x1, just one position\n            xSpike: undefined,\n            ySpike: undefined,\n\n            // where and how to display the hover label\n            color: Color.defaultLine, // trace color\n            name: trace.name,\n            x0: undefined,\n            x1: undefined,\n            y0: undefined,\n            y1: undefined,\n            xLabelVal: undefined,\n            yLabelVal: undefined,\n            zLabelVal: undefined,\n            text: undefined\n        };\n\n        // add ref to subplot object (non-cartesian case)\n        if(fullLayout[subplotId]) {\n            pointData.subplot = fullLayout[subplotId]._subplot;\n        }\n        // add ref to splom scene\n        if(fullLayout._splomScenes && fullLayout._splomScenes[trace.uid]) {\n            pointData.scene = fullLayout._splomScenes[trace.uid];\n        }\n\n        closedataPreviousLength = hoverData.length;\n\n        // for a highlighting array, figure out what\n        // we're searching for with this element\n        if(mode === 'array') {\n            var selection = evt[curvenum];\n            if('pointNumber' in selection) {\n                pointData.index = selection.pointNumber;\n                mode = 'closest';\n            }\n            else {\n                mode = '';\n                if('xval' in selection) {\n                    xval = selection.xval;\n                    mode = 'x';\n                }\n                if('yval' in selection) {\n                    yval = selection.yval;\n                    mode = mode ? 'closest' : 'y';\n                }\n            }\n        }\n        else {\n            xval = xvalArray[subploti];\n            yval = yvalArray[subploti];\n        }\n\n        // Now if there is range to look in, find the points to hover.\n        if(hoverdistance !== 0) {\n            if(trace._module && trace._module.hoverPoints) {\n                var newPoints = trace._module.hoverPoints(pointData, xval, yval, mode, fullLayout._hoverlayer);\n                if(newPoints) {\n                    var newPoint;\n                    for(var newPointNum = 0; newPointNum < newPoints.length; newPointNum++) {\n                        newPoint = newPoints[newPointNum];\n                        if(isNumeric(newPoint.x0) && isNumeric(newPoint.y0)) {\n                            hoverData.push(cleanPoint(newPoint, hovermode));\n                        }\n                    }\n                }\n            }\n            else {\n                Lib.log('Unrecognized trace type in hover:', trace);\n            }\n        }\n\n        // in closest mode, remove any existing (farther) points\n        // and don't look any farther than this latest point (or points, some\n        // traces like box & violin make multiple hover labels at once)\n        if(hovermode === 'closest' && hoverData.length > closedataPreviousLength) {\n            hoverData.splice(0, closedataPreviousLength);\n            distance = hoverData[0].distance;\n        }\n\n        // Now if there is range to look in, find the points to draw the spikelines\n        // Do it only if there is no hoverData\n        if(hasCartesian && (spikedistance !== 0)) {\n            if(hoverData.length === 0) {\n                pointData.distance = spikedistance;\n                pointData.index = false;\n                var closestPoints = trace._module.hoverPoints(pointData, xval, yval, 'closest', fullLayout._hoverlayer);\n                if(closestPoints) {\n                    closestPoints = closestPoints.filter(function(point) {\n                        // some hover points, like scatter fills, do not allow spikes,\n                        // so will generate a hover point but without a valid spikeDistance\n                        return point.spikeDistance <= spikedistance;\n                    });\n                }\n                if(closestPoints && closestPoints.length) {\n                    var tmpPoint;\n                    var closestVPoints = closestPoints.filter(function(point) {\n                        return point.xa.showspikes;\n                    });\n                    if(closestVPoints.length) {\n                        var closestVPt = closestVPoints[0];\n                        if(isNumeric(closestVPt.x0) && isNumeric(closestVPt.y0)) {\n                            tmpPoint = fillSpikePoint(closestVPt);\n                            if(!spikePoints.vLinePoint || (spikePoints.vLinePoint.spikeDistance > tmpPoint.spikeDistance)) {\n                                spikePoints.vLinePoint = tmpPoint;\n                            }\n                        }\n                    }\n\n                    var closestHPoints = closestPoints.filter(function(point) {\n                        return point.ya.showspikes;\n                    });\n                    if(closestHPoints.length) {\n                        var closestHPt = closestHPoints[0];\n                        if(isNumeric(closestHPt.x0) && isNumeric(closestHPt.y0)) {\n                            tmpPoint = fillSpikePoint(closestHPt);\n                            if(!spikePoints.hLinePoint || (spikePoints.hLinePoint.spikeDistance > tmpPoint.spikeDistance)) {\n                                spikePoints.hLinePoint = tmpPoint;\n                            }\n                        }\n                    }\n                }\n            }\n        }\n    }\n\n    function selectClosestPoint(pointsData, spikedistance) {\n        var resultPoint = null;\n        var minDistance = Infinity;\n        var thisSpikeDistance;\n        for(var i = 0; i < pointsData.length; i++) {\n            thisSpikeDistance = pointsData[i].spikeDistance;\n            if(thisSpikeDistance < minDistance && thisSpikeDistance <= spikedistance) {\n                resultPoint = pointsData[i];\n                minDistance = thisSpikeDistance;\n            }\n        }\n        return resultPoint;\n    }\n\n    function fillSpikePoint(point) {\n        if(!point) return null;\n        return {\n            xa: point.xa,\n            ya: point.ya,\n            x: point.xSpike !== undefined ? point.xSpike : (point.x0 + point.x1) / 2,\n            y: point.ySpike !== undefined ? point.ySpike : (point.y0 + point.y1) / 2,\n            distance: point.distance,\n            spikeDistance: point.spikeDistance,\n            curveNumber: point.trace.index,\n            color: point.color,\n            pointNumber: point.index\n        };\n    }\n\n    var spikelineOpts = {\n        fullLayout: fullLayout,\n        container: fullLayout._hoverlayer,\n        outerContainer: fullLayout._paperdiv,\n        event: evt\n    };\n    var oldspikepoints = gd._spikepoints,\n        newspikepoints = {\n            vLinePoint: spikePoints.vLinePoint,\n            hLinePoint: spikePoints.hLinePoint\n        };\n    gd._spikepoints = newspikepoints;\n\n    // Now if it is not restricted by spikedistance option, set the points to draw the spikelines\n    if(hasCartesian && (spikedistance !== 0)) {\n        if(hoverData.length !== 0) {\n            var tmpHPointData = hoverData.filter(function(point) {\n                return point.ya.showspikes;\n            });\n            var tmpHPoint = selectClosestPoint(tmpHPointData, spikedistance);\n            spikePoints.hLinePoint = fillSpikePoint(tmpHPoint);\n\n            var tmpVPointData = hoverData.filter(function(point) {\n                return point.xa.showspikes;\n            });\n            var tmpVPoint = selectClosestPoint(tmpVPointData, spikedistance);\n            spikePoints.vLinePoint = fillSpikePoint(tmpVPoint);\n        }\n    }\n\n    // if hoverData is empty check for the spikes to draw and quit if there are none\n    if(hoverData.length === 0) {\n        var result = dragElement.unhoverRaw(gd, evt);\n        if(hasCartesian && ((spikePoints.hLinePoint !== null) || (spikePoints.vLinePoint !== null))) {\n            if(spikesChanged(oldspikepoints)) {\n                createSpikelines(spikePoints, spikelineOpts);\n            }\n        }\n        return result;\n    }\n\n    if(hasCartesian) {\n        if(spikesChanged(oldspikepoints)) {\n            createSpikelines(spikePoints, spikelineOpts);\n        }\n    }\n\n    hoverData.sort(function(d1, d2) { return d1.distance - d2.distance; });\n\n    // lastly, emit custom hover/unhover events\n    var oldhoverdata = gd._hoverdata;\n    var newhoverdata = [];\n\n    // pull out just the data that's useful to\n    // other people and send it to the event\n    for(itemnum = 0; itemnum < hoverData.length; itemnum++) {\n        var pt = hoverData[itemnum];\n        newhoverdata.push(helpers.makeEventData(pt, pt.trace, pt.cd));\n    }\n\n    gd._hoverdata = newhoverdata;\n\n    var rotateLabels = (\n        (hovermode === 'y' && (searchData.length > 1 || hoverData.length > 1)) ||\n        (hovermode === 'closest' && hasOneHorizontalTrace && hoverData.length > 1)\n    );\n\n    var bgColor = Color.combine(\n        fullLayout.plot_bgcolor || Color.background,\n        fullLayout.paper_bgcolor\n    );\n\n    var labelOpts = {\n        hovermode: hovermode,\n        rotateLabels: rotateLabels,\n        bgColor: bgColor,\n        container: fullLayout._hoverlayer,\n        outerContainer: fullLayout._paperdiv,\n        commonLabelOpts: fullLayout.hoverlabel,\n        hoverdistance: fullLayout.hoverdistance\n    };\n\n    var hoverLabels = createHoverText(hoverData, labelOpts, gd);\n\n    hoverAvoidOverlaps(hoverData, rotateLabels ? 'xa' : 'ya', fullLayout);\n\n    alignHoverText(hoverLabels, rotateLabels);\n\n    // TODO: tagName hack is needed to appease geo.js's hack of using evt.target=true\n    // we should improve the \"fx\" API so other plots can use it without these hack.\n    if(evt.target && evt.target.tagName) {\n        var hasClickToShow = Registry.getComponentMethod('annotations', 'hasClickToShow')(gd, newhoverdata);\n        overrideCursor(d3.select(evt.target), hasClickToShow ? 'pointer' : '');\n    }\n\n    // don't emit events if called manually\n    if(!evt.target || noHoverEvent || !hoverChanged(gd, evt, oldhoverdata)) return;\n\n    if(oldhoverdata) {\n        gd.emit('plotly_unhover', {\n            event: evt,\n            points: oldhoverdata\n        });\n    }\n\n    gd.emit('plotly_hover', {\n        event: evt,\n        points: gd._hoverdata,\n        xaxes: xaArray,\n        yaxes: yaArray,\n        xvals: xvalArray,\n        yvals: yvalArray\n    });\n}\n\nfunction createHoverText(hoverData, opts, gd) {\n    var hovermode = opts.hovermode;\n    var rotateLabels = opts.rotateLabels;\n    var bgColor = opts.bgColor;\n    var container = opts.container;\n    var outerContainer = opts.outerContainer;\n    var commonLabelOpts = opts.commonLabelOpts || {};\n\n    // opts.fontFamily/Size are used for the common label\n    // and as defaults for each hover label, though the individual labels\n    // can override this.\n    var fontFamily = opts.fontFamily || constants.HOVERFONT;\n    var fontSize = opts.fontSize || constants.HOVERFONTSIZE;\n\n    var c0 = hoverData[0];\n    var xa = c0.xa;\n    var ya = c0.ya;\n    var commonAttr = hovermode === 'y' ? 'yLabel' : 'xLabel';\n    var t0 = c0[commonAttr];\n    var t00 = (String(t0) || '').split(' ')[0];\n    var outerContainerBB = outerContainer.node().getBoundingClientRect();\n    var outerTop = outerContainerBB.top;\n    var outerWidth = outerContainerBB.width;\n    var outerHeight = outerContainerBB.height;\n\n    // show the common label, if any, on the axis\n    // never show a common label in array mode,\n    // even if sometimes there could be one\n    var showCommonLabel = (\n        (t0 !== undefined) &&\n        (c0.distance <= opts.hoverdistance) &&\n        (hovermode === 'x' || hovermode === 'y')\n    );\n\n    // all hover traces hoverinfo must contain the hovermode\n    // to have common labels\n    if(showCommonLabel) {\n        var allHaveZ = true;\n        var i, traceHoverinfo;\n        for(i = 0; i < hoverData.length; i++) {\n            if(allHaveZ && hoverData[i].zLabel === undefined) allHaveZ = false;\n\n            traceHoverinfo = hoverData[i].hoverinfo || hoverData[i].trace.hoverinfo;\n            var parts = Array.isArray(traceHoverinfo) ? traceHoverinfo : traceHoverinfo.split('+');\n            if(parts.indexOf('all') === -1 &&\n                parts.indexOf(hovermode) === -1) {\n                showCommonLabel = false;\n                break;\n            }\n        }\n\n        // xyz labels put all info in their main label, so have no need of a common label\n        if(allHaveZ) showCommonLabel = false;\n    }\n\n    var commonLabel = container.selectAll('g.axistext')\n        .data(showCommonLabel ? [0] : []);\n    commonLabel.enter().append('g')\n        .classed('axistext', true);\n    commonLabel.exit().remove();\n\n    commonLabel.each(function() {\n        var label = d3.select(this);\n        var lpath = Lib.ensureSingle(label, 'path', '', function(s) {\n            s.style({'stroke-width': '1px'});\n        });\n        var ltext = Lib.ensureSingle(label, 'text', '', function(s) {\n            // prohibit tex interpretation until we can handle\n            // tex and regular text together\n            s.attr('data-notex', 1);\n        });\n\n        var commonBgColor = commonLabelOpts.bgcolor || Color.defaultLine;\n        var commonStroke = commonLabelOpts.bordercolor || Color.contrast(commonBgColor);\n        var contrastColor = Color.contrast(commonBgColor);\n\n        lpath.style({\n            fill: commonBgColor,\n            stroke: commonStroke\n        });\n\n        ltext.text(t0)\n            .call(Drawing.font,\n                commonLabelOpts.font.family || fontFamily,\n                commonLabelOpts.font.size || fontSize,\n                commonLabelOpts.font.color || contrastColor\n             )\n            .call(svgTextUtils.positionText, 0, 0)\n            .call(svgTextUtils.convertToTspans, gd);\n\n        label.attr('transform', '');\n\n        var tbb = ltext.node().getBoundingClientRect();\n        if(hovermode === 'x') {\n            ltext.attr('text-anchor', 'middle')\n                .call(svgTextUtils.positionText, 0, (xa.side === 'top' ?\n                    (outerTop - tbb.bottom - HOVERARROWSIZE - HOVERTEXTPAD) :\n                    (outerTop - tbb.top + HOVERARROWSIZE + HOVERTEXTPAD)));\n\n            var topsign = xa.side === 'top' ? '-' : '';\n            lpath.attr('d', 'M0,0' +\n                'L' + HOVERARROWSIZE + ',' + topsign + HOVERARROWSIZE +\n                'H' + (HOVERTEXTPAD + tbb.width / 2) +\n                'v' + topsign + (HOVERTEXTPAD * 2 + tbb.height) +\n                'H-' + (HOVERTEXTPAD + tbb.width / 2) +\n                'V' + topsign + HOVERARROWSIZE + 'H-' + HOVERARROWSIZE + 'Z');\n\n            label.attr('transform', 'translate(' +\n                (xa._offset + (c0.x0 + c0.x1) / 2) + ',' +\n                (ya._offset + (xa.side === 'top' ? 0 : ya._length)) + ')');\n        }\n        else {\n            ltext.attr('text-anchor', ya.side === 'right' ? 'start' : 'end')\n                .call(svgTextUtils.positionText,\n                    (ya.side === 'right' ? 1 : -1) * (HOVERTEXTPAD + HOVERARROWSIZE),\n                    outerTop - tbb.top - tbb.height / 2);\n\n            var leftsign = ya.side === 'right' ? '' : '-';\n            lpath.attr('d', 'M0,0' +\n                'L' + leftsign + HOVERARROWSIZE + ',' + HOVERARROWSIZE +\n                'V' + (HOVERTEXTPAD + tbb.height / 2) +\n                'h' + leftsign + (HOVERTEXTPAD * 2 + tbb.width) +\n                'V-' + (HOVERTEXTPAD + tbb.height / 2) +\n                'H' + leftsign + HOVERARROWSIZE + 'V-' + HOVERARROWSIZE + 'Z');\n\n            label.attr('transform', 'translate(' +\n                (xa._offset + (ya.side === 'right' ? xa._length : 0)) + ',' +\n                (ya._offset + (c0.y0 + c0.y1) / 2) + ')');\n        }\n        // remove the \"close but not quite\" points\n        // because of error bars, only take up to a space\n        hoverData = hoverData.filter(function(d) {\n            return (d.zLabelVal !== undefined) ||\n                (d[commonAttr] || '').split(' ')[0] === t00;\n        });\n    });\n\n    // show all the individual labels\n\n    // first create the objects\n    var hoverLabels = container.selectAll('g.hovertext')\n        .data(hoverData, function(d) {\n            return [d.trace.index, d.index, d.x0, d.y0, d.name, d.attr, d.xa, d.ya || ''].join(',');\n        });\n    hoverLabels.enter().append('g')\n        .classed('hovertext', true)\n        .each(function() {\n            var g = d3.select(this);\n            // trace name label (rect and text.name)\n            g.append('rect')\n                .call(Color.fill, Color.addOpacity(bgColor, 0.8));\n            g.append('text').classed('name', true);\n            // trace data label (path and text.nums)\n            g.append('path')\n                .style('stroke-width', '1px');\n            g.append('text').classed('nums', true)\n                .call(Drawing.font, fontFamily, fontSize);\n        });\n    hoverLabels.exit().remove();\n\n    // then put the text in, position the pointer to the data,\n    // and figure out sizes\n    hoverLabels.each(function(d) {\n        var g = d3.select(this).attr('transform', '');\n        var name = '';\n        var text = '';\n\n        // combine possible non-opaque trace color with bgColor\n        var color0 = d.bgcolor || d.color;\n        // color for 'nums' part of the label\n        var numsColor = Color.combine(\n            Color.opacity(color0) ? color0 : Color.defaultLine,\n            bgColor\n        );\n        // color for 'name' part of the label\n        var nameColor = Color.combine(\n            Color.opacity(d.color) ? d.color : Color.defaultLine,\n            bgColor\n        );\n        // find a contrasting color for border and text\n        var contrastColor = d.borderColor || Color.contrast(numsColor);\n\n        // to get custom 'name' labels pass cleanPoint\n        if(d.nameOverride !== undefined) d.name = d.nameOverride;\n\n        if(d.name) {\n            // strip out our pseudo-html elements from d.name (if it exists at all)\n            name = svgTextUtils.plainText(d.name || '');\n\n            var nameLength = Math.round(d.nameLength);\n\n            if(nameLength > -1 && name.length > nameLength) {\n                if(nameLength > 3) name = name.substr(0, nameLength - 3) + '...';\n                else name = name.substr(0, nameLength);\n            }\n        }\n\n        if(d.zLabel !== undefined) {\n            if(d.xLabel !== undefined) text += 'x: ' + d.xLabel + '<br>';\n            if(d.yLabel !== undefined) text += 'y: ' + d.yLabel + '<br>';\n            text += (text ? 'z: ' : '') + d.zLabel;\n        }\n        else if(showCommonLabel && d[hovermode + 'Label'] === t0) {\n            text = d[(hovermode === 'x' ? 'y' : 'x') + 'Label'] || '';\n        }\n        else if(d.xLabel === undefined) {\n            if(d.yLabel !== undefined) text = d.yLabel;\n        }\n        else if(d.yLabel === undefined) text = d.xLabel;\n        else text = '(' + d.xLabel + ', ' + d.yLabel + ')';\n\n        if((d.text || d.text === 0) && !Array.isArray(d.text)) {\n            text += (text ? '<br>' : '') + d.text;\n        }\n\n        // used by other modules (initially just ternary) that\n        // manage their own hoverinfo independent of cleanPoint\n        // the rest of this will still apply, so such modules\n        // can still put things in (x|y|z)Label, text, and name\n        // and hoverinfo will still determine their visibility\n        if(d.extraText !== undefined) text += (text ? '<br>' : '') + d.extraText;\n\n        // if 'text' is empty at this point,\n        // put 'name' in main label and don't show secondary label\n        if(text === '') {\n            // if 'name' is also empty, remove entire label\n            if(name === '') g.remove();\n            text = name;\n        }\n\n        // main label\n        var tx = g.select('text.nums')\n            .call(Drawing.font,\n                d.fontFamily || fontFamily,\n                d.fontSize || fontSize,\n                d.fontColor || contrastColor)\n            .text(text)\n            .attr('data-notex', 1)\n            .call(svgTextUtils.positionText, 0, 0)\n            .call(svgTextUtils.convertToTspans, gd);\n\n        var tx2 = g.select('text.name');\n        var tx2width = 0;\n\n        // secondary label for non-empty 'name'\n        if(name && name !== text) {\n            tx2.call(Drawing.font,\n                    d.fontFamily || fontFamily,\n                    d.fontSize || fontSize,\n                    nameColor)\n                .text(name)\n                .attr('data-notex', 1)\n                .call(svgTextUtils.positionText, 0, 0)\n                .call(svgTextUtils.convertToTspans, gd);\n            tx2width = tx2.node().getBoundingClientRect().width + 2 * HOVERTEXTPAD;\n        }\n        else {\n            tx2.remove();\n            g.select('rect').remove();\n        }\n\n        g.select('path')\n            .style({\n                fill: numsColor,\n                stroke: contrastColor\n            });\n        var tbb = tx.node().getBoundingClientRect();\n        var htx = d.xa._offset + (d.x0 + d.x1) / 2;\n        var hty = d.ya._offset + (d.y0 + d.y1) / 2;\n        var dx = Math.abs(d.x1 - d.x0);\n        var dy = Math.abs(d.y1 - d.y0);\n        var txTotalWidth = tbb.width + HOVERARROWSIZE + HOVERTEXTPAD + tx2width;\n        var anchorStartOK, anchorEndOK;\n\n        d.ty0 = outerTop - tbb.top;\n        d.bx = tbb.width + 2 * HOVERTEXTPAD;\n        d.by = tbb.height + 2 * HOVERTEXTPAD;\n        d.anchor = 'start';\n        d.txwidth = tbb.width;\n        d.tx2width = tx2width;\n        d.offset = 0;\n\n        if(rotateLabels) {\n            d.pos = htx;\n            anchorStartOK = hty + dy / 2 + txTotalWidth <= outerHeight;\n            anchorEndOK = hty - dy / 2 - txTotalWidth >= 0;\n            if((d.idealAlign === 'top' || !anchorStartOK) && anchorEndOK) {\n                hty -= dy / 2;\n                d.anchor = 'end';\n            } else if(anchorStartOK) {\n                hty += dy / 2;\n                d.anchor = 'start';\n            } else d.anchor = 'middle';\n        }\n        else {\n            d.pos = hty;\n            anchorStartOK = htx + dx / 2 + txTotalWidth <= outerWidth;\n            anchorEndOK = htx - dx / 2 - txTotalWidth >= 0;\n            if((d.idealAlign === 'left' || !anchorStartOK) && anchorEndOK) {\n                htx -= dx / 2;\n                d.anchor = 'end';\n            } else if(anchorStartOK) {\n                htx += dx / 2;\n                d.anchor = 'start';\n            } else d.anchor = 'middle';\n        }\n\n        tx.attr('text-anchor', d.anchor);\n        if(tx2width) tx2.attr('text-anchor', d.anchor);\n        g.attr('transform', 'translate(' + htx + ',' + hty + ')' +\n            (rotateLabels ? 'rotate(' + YANGLE + ')' : ''));\n    });\n\n    return hoverLabels;\n}\n\n// Make groups of touching points, and within each group\n// move each point so that no labels overlap, but the average\n// label position is the same as it was before moving. Indicentally,\n// this is equivalent to saying all the labels are on equal linear\n// springs about their initial position. Initially, each point is\n// its own group, but as we find overlaps we will clump the points.\n//\n// Also, there are hard constraints at the edges of the graphs,\n// that push all groups to the middle so they are visible. I don't\n// know what happens if the group spans all the way from one edge to\n// the other, though it hardly matters - there's just too much\n// information then.\nfunction hoverAvoidOverlaps(hoverData, ax, fullLayout) {\n    var nummoves = 0;\n\n    var axSign = 1;\n\n    // make groups of touching points\n    var pointgroups = hoverData.map(function(d, i) {\n        var axis = d[ax];\n        var axIsX = axis._id.charAt(0) === 'x';\n        var rng = axis.range;\n        if(!i && rng && ((rng[0] > rng[1]) !== axIsX)) axSign = -1;\n        return [{\n            i: i,\n            traceIndex: d.trace.index,\n            dp: 0,\n            pos: d.pos,\n            posref: d.posref,\n            size: d.by * (axIsX ? YFACTOR : 1) / 2,\n            pmin: 0,\n            pmax: (axIsX ? fullLayout.width : fullLayout.height)\n        }];\n    })\n    .sort(function(a, b) {\n        return (a[0].posref - b[0].posref) ||\n            // for equal positions, sort trace indices increasing or decreasing\n            // depending on whether the axis is reversed or not... so stacked\n            // traces will generally keep their order even if one trace adds\n            // nothing to the stack.\n            (axSign * (b[0].traceIndex - a[0].traceIndex));\n    });\n\n    var donepositioning, topOverlap, bottomOverlap, i, j, pti, sumdp;\n\n    function constrainGroup(grp) {\n        var minPt = grp[0];\n        var maxPt = grp[grp.length - 1];\n\n        // overlap with the top - positive vals are overlaps\n        topOverlap = minPt.pmin - minPt.pos - minPt.dp + minPt.size;\n\n        // overlap with the bottom - positive vals are overlaps\n        bottomOverlap = maxPt.pos + maxPt.dp + maxPt.size - minPt.pmax;\n\n        // check for min overlap first, so that we always\n        // see the largest labels\n        // allow for .01px overlap, so we don't get an\n        // infinite loop from rounding errors\n        if(topOverlap > 0.01) {\n            for(j = grp.length - 1; j >= 0; j--) grp[j].dp += topOverlap;\n            donepositioning = false;\n        }\n        if(bottomOverlap < 0.01) return;\n        if(topOverlap < -0.01) {\n            // make sure we're not pushing back and forth\n            for(j = grp.length - 1; j >= 0; j--) grp[j].dp -= bottomOverlap;\n            donepositioning = false;\n        }\n        if(!donepositioning) return;\n\n        // no room to fix positioning, delete off-screen points\n\n        // first see how many points we need to delete\n        var deleteCount = 0;\n        for(i = 0; i < grp.length; i++) {\n            pti = grp[i];\n            if(pti.pos + pti.dp + pti.size > minPt.pmax) deleteCount++;\n        }\n\n        // start by deleting points whose data is off screen\n        for(i = grp.length - 1; i >= 0; i--) {\n            if(deleteCount <= 0) break;\n            pti = grp[i];\n\n            // pos has already been constrained to [pmin,pmax]\n            // so look for points close to that to delete\n            if(pti.pos > minPt.pmax - 1) {\n                pti.del = true;\n                deleteCount--;\n            }\n        }\n        for(i = 0; i < grp.length; i++) {\n            if(deleteCount <= 0) break;\n            pti = grp[i];\n\n            // pos has already been constrained to [pmin,pmax]\n            // so look for points close to that to delete\n            if(pti.pos < minPt.pmin + 1) {\n                pti.del = true;\n                deleteCount--;\n\n                // shift the whole group minus into this new space\n                bottomOverlap = pti.size * 2;\n                for(j = grp.length - 1; j >= 0; j--) grp[j].dp -= bottomOverlap;\n            }\n        }\n        // then delete points that go off the bottom\n        for(i = grp.length - 1; i >= 0; i--) {\n            if(deleteCount <= 0) break;\n            pti = grp[i];\n            if(pti.pos + pti.dp + pti.size > minPt.pmax) {\n                pti.del = true;\n                deleteCount--;\n            }\n        }\n    }\n\n    // loop through groups, combining them if they overlap,\n    // until nothing moves\n    while(!donepositioning && nummoves <= hoverData.length) {\n        // to avoid infinite loops, don't move more times\n        // than there are traces\n        nummoves++;\n\n        // assume nothing will move in this iteration,\n        // reverse this if it does\n        donepositioning = true;\n        i = 0;\n        while(i < pointgroups.length - 1) {\n                // the higher (g0) and lower (g1) point group\n            var g0 = pointgroups[i];\n            var g1 = pointgroups[i + 1];\n\n            // the lowest point in the higher group (p0)\n            // the highest point in the lower group (p1)\n            var p0 = g0[g0.length - 1];\n            var p1 = g1[0];\n            topOverlap = p0.pos + p0.dp + p0.size - p1.pos - p1.dp + p1.size;\n\n            // Only group points that lie on the same axes\n            if(topOverlap > 0.01 && (p0.pmin === p1.pmin) && (p0.pmax === p1.pmax)) {\n                // push the new point(s) added to this group out of the way\n                for(j = g1.length - 1; j >= 0; j--) g1[j].dp += topOverlap;\n\n                // add them to the group\n                g0.push.apply(g0, g1);\n                pointgroups.splice(i + 1, 1);\n\n                // adjust for minimum average movement\n                sumdp = 0;\n                for(j = g0.length - 1; j >= 0; j--) sumdp += g0[j].dp;\n                bottomOverlap = sumdp / g0.length;\n                for(j = g0.length - 1; j >= 0; j--) g0[j].dp -= bottomOverlap;\n                donepositioning = false;\n            }\n            else i++;\n        }\n\n        // check if we're going off the plot on either side and fix\n        pointgroups.forEach(constrainGroup);\n    }\n\n    // now put these offsets into hoverData\n    for(i = pointgroups.length - 1; i >= 0; i--) {\n        var grp = pointgroups[i];\n        for(j = grp.length - 1; j >= 0; j--) {\n            var pt = grp[j];\n            var hoverPt = hoverData[pt.i];\n            hoverPt.offset = pt.dp;\n            hoverPt.del = pt.del;\n        }\n    }\n}\n\nfunction alignHoverText(hoverLabels, rotateLabels) {\n    // finally set the text positioning relative to the data and draw the\n    // box around it\n    hoverLabels.each(function(d) {\n        var g = d3.select(this);\n        if(d.del) {\n            g.remove();\n            return;\n        }\n\n        var horzSign = d.anchor === 'end' ? -1 : 1;\n        var tx = g.select('text.nums');\n        var alignShift = {start: 1, end: -1, middle: 0}[d.anchor];\n        var txx = alignShift * (HOVERARROWSIZE + HOVERTEXTPAD);\n        var tx2x = txx + alignShift * (d.txwidth + HOVERTEXTPAD);\n        var offsetX = 0;\n        var offsetY = d.offset;\n\n        if(d.anchor === 'middle') {\n            txx -= d.tx2width / 2;\n            tx2x += d.txwidth / 2 + HOVERTEXTPAD;\n        }\n        if(rotateLabels) {\n            offsetY *= -YSHIFTY;\n            offsetX = d.offset * YSHIFTX;\n        }\n\n        g.select('path').attr('d', d.anchor === 'middle' ?\n            // middle aligned: rect centered on data\n            ('M-' + (d.bx / 2 + d.tx2width / 2) + ',' + (offsetY - d.by / 2) +\n              'h' + d.bx + 'v' + d.by + 'h-' + d.bx + 'Z') :\n            // left or right aligned: side rect with arrow to data\n            ('M0,0L' + (horzSign * HOVERARROWSIZE + offsetX) + ',' + (HOVERARROWSIZE + offsetY) +\n                'v' + (d.by / 2 - HOVERARROWSIZE) +\n                'h' + (horzSign * d.bx) +\n                'v-' + d.by +\n                'H' + (horzSign * HOVERARROWSIZE + offsetX) +\n                'V' + (offsetY - HOVERARROWSIZE) +\n                'Z'));\n\n        tx.call(svgTextUtils.positionText,\n            txx + offsetX, offsetY + d.ty0 - d.by / 2 + HOVERTEXTPAD);\n\n        if(d.tx2width) {\n            g.select('text.name')\n                .call(svgTextUtils.positionText,\n                    tx2x + alignShift * HOVERTEXTPAD + offsetX,\n                    offsetY + d.ty0 - d.by / 2 + HOVERTEXTPAD);\n            g.select('rect')\n                .call(Drawing.setRect,\n                    tx2x + (alignShift - 1) * d.tx2width / 2 + offsetX,\n                    offsetY - d.by / 2 - 1,\n                    d.tx2width, d.by + 2);\n        }\n    });\n}\n\nfunction cleanPoint(d, hovermode) {\n    var index = d.index;\n    var trace = d.trace || {};\n    var cd0 = d.cd[0];\n    var cd = d.cd[index] || {};\n\n    var getVal = Array.isArray(index) ?\n        function(calcKey, traceKey) {\n            return Lib.castOption(cd0, index, calcKey) ||\n                Lib.extractOption({}, trace, '', traceKey);\n        } :\n        function(calcKey, traceKey) {\n            return Lib.extractOption(cd, trace, calcKey, traceKey);\n        };\n\n    function fill(key, calcKey, traceKey) {\n        var val = getVal(calcKey, traceKey);\n        if(val) d[key] = val;\n    }\n\n    fill('hoverinfo', 'hi', 'hoverinfo');\n    fill('bgcolor', 'hbg', 'hoverlabel.bgcolor');\n    fill('borderColor', 'hbc', 'hoverlabel.bordercolor');\n    fill('fontFamily', 'htf', 'hoverlabel.font.family');\n    fill('fontSize', 'hts', 'hoverlabel.font.size');\n    fill('fontColor', 'htc', 'hoverlabel.font.color');\n    fill('nameLength', 'hnl', 'hoverlabel.namelength');\n\n    d.posref = hovermode === 'y' ?\n        (d.xa._offset + (d.x0 + d.x1) / 2) :\n        (d.ya._offset + (d.y0 + d.y1) / 2);\n\n    // then constrain all the positions to be on the plot\n    d.x0 = Lib.constrain(d.x0, 0, d.xa._length);\n    d.x1 = Lib.constrain(d.x1, 0, d.xa._length);\n    d.y0 = Lib.constrain(d.y0, 0, d.ya._length);\n    d.y1 = Lib.constrain(d.y1, 0, d.ya._length);\n\n    // and convert the x and y label values into formatted text\n    if(d.xLabelVal !== undefined) {\n        d.xLabel = ('xLabel' in d) ? d.xLabel : Axes.hoverLabelText(d.xa, d.xLabelVal);\n        d.xVal = d.xa.c2d(d.xLabelVal);\n    }\n    if(d.yLabelVal !== undefined) {\n        d.yLabel = ('yLabel' in d) ? d.yLabel : Axes.hoverLabelText(d.ya, d.yLabelVal);\n        d.yVal = d.ya.c2d(d.yLabelVal);\n    }\n\n    // Traces like heatmaps generate the zLabel in their hoverPoints function\n    if(d.zLabelVal !== undefined && d.zLabel === undefined) {\n        d.zLabel = String(d.zLabelVal);\n    }\n\n    // for box means and error bars, add the range to the label\n    if(!isNaN(d.xerr) && !(d.xa.type === 'log' && d.xerr <= 0)) {\n        var xeText = Axes.tickText(d.xa, d.xa.c2l(d.xerr), 'hover').text;\n        if(d.xerrneg !== undefined) {\n            d.xLabel += ' +' + xeText + ' / -' +\n                Axes.tickText(d.xa, d.xa.c2l(d.xerrneg), 'hover').text;\n        }\n        else d.xLabel += ' ± ' + xeText;\n\n        // small distance penalty for error bars, so that if there are\n        // traces with errors and some without, the error bar label will\n        // hoist up to the point\n        if(hovermode === 'x') d.distance += 1;\n    }\n    if(!isNaN(d.yerr) && !(d.ya.type === 'log' && d.yerr <= 0)) {\n        var yeText = Axes.tickText(d.ya, d.ya.c2l(d.yerr), 'hover').text;\n        if(d.yerrneg !== undefined) {\n            d.yLabel += ' +' + yeText + ' / -' +\n                Axes.tickText(d.ya, d.ya.c2l(d.yerrneg), 'hover').text;\n        }\n        else d.yLabel += ' ± ' + yeText;\n\n        if(hovermode === 'y') d.distance += 1;\n    }\n\n    var infomode = d.hoverinfo || d.trace.hoverinfo;\n\n    if(infomode !== 'all') {\n        infomode = Array.isArray(infomode) ? infomode : infomode.split('+');\n        if(infomode.indexOf('x') === -1) d.xLabel = undefined;\n        if(infomode.indexOf('y') === -1) d.yLabel = undefined;\n        if(infomode.indexOf('z') === -1) d.zLabel = undefined;\n        if(infomode.indexOf('text') === -1) d.text = undefined;\n        if(infomode.indexOf('name') === -1) d.name = undefined;\n    }\n\n    return d;\n}\n\nfunction createSpikelines(closestPoints, opts) {\n    var container = opts.container;\n    var fullLayout = opts.fullLayout;\n    var evt = opts.event;\n    var showY = !!closestPoints.hLinePoint;\n    var showX = !!closestPoints.vLinePoint;\n\n    var xa, ya;\n\n    // Remove old spikeline items\n    container.selectAll('.spikeline').remove();\n\n    if(!(showX || showY)) return;\n\n    var contrastColor = Color.combine(fullLayout.plot_bgcolor, fullLayout.paper_bgcolor);\n\n    // Horizontal line (to y-axis)\n    if(showY) {\n        var hLinePoint = closestPoints.hLinePoint;\n        var hLinePointX, hLinePointY;\n\n        xa = hLinePoint && hLinePoint.xa;\n        ya = hLinePoint && hLinePoint.ya;\n        var ySnap = ya.spikesnap;\n\n        if(ySnap === 'cursor') {\n            hLinePointX = evt.pointerX;\n            hLinePointY = evt.pointerY;\n        } else {\n            hLinePointX = xa._offset + hLinePoint.x;\n            hLinePointY = ya._offset + hLinePoint.y;\n        }\n        var dfltHLineColor = tinycolor.readability(hLinePoint.color, contrastColor) < 1.5 ?\n            Color.contrast(contrastColor) : hLinePoint.color;\n        var yMode = ya.spikemode;\n        var yThickness = ya.spikethickness;\n        var yColor = ya.spikecolor || dfltHLineColor;\n        var yBB = ya._boundingBox;\n        var xEdge = ((yBB.left + yBB.right) / 2) < hLinePointX ? yBB.right : yBB.left;\n        var xBase, xEndSpike;\n\n        if(yMode.indexOf('toaxis') !== -1 || yMode.indexOf('across') !== -1) {\n            if(yMode.indexOf('toaxis') !== -1) {\n                xBase = xEdge;\n                xEndSpike = hLinePointX;\n            }\n            if(yMode.indexOf('across') !== -1) {\n                xBase = ya._counterSpan[0];\n                xEndSpike = ya._counterSpan[1];\n            }\n\n            // Foreground horizontal line (to y-axis)\n            container.insert('line', ':first-child')\n                .attr({\n                    x1: xBase,\n                    x2: xEndSpike,\n                    y1: hLinePointY,\n                    y2: hLinePointY,\n                    'stroke-width': yThickness,\n                    stroke: yColor,\n                    'stroke-dasharray': Drawing.dashStyle(ya.spikedash, yThickness)\n                })\n                .classed('spikeline', true)\n                .classed('crisp', true);\n\n            // Background horizontal Line (to y-axis)\n            container.insert('line', ':first-child')\n                .attr({\n                    x1: xBase,\n                    x2: xEndSpike,\n                    y1: hLinePointY,\n                    y2: hLinePointY,\n                    'stroke-width': yThickness + 2,\n                    stroke: contrastColor\n                })\n                .classed('spikeline', true)\n                .classed('crisp', true);\n        }\n        // Y axis marker\n        if(yMode.indexOf('marker') !== -1) {\n            container.insert('circle', ':first-child')\n                .attr({\n                    cx: xEdge + (ya.side !== 'right' ? yThickness : -yThickness),\n                    cy: hLinePointY,\n                    r: yThickness,\n                    fill: yColor\n                })\n                .classed('spikeline', true);\n        }\n    }\n\n    if(showX) {\n        var vLinePoint = closestPoints.vLinePoint;\n        var vLinePointX, vLinePointY;\n\n        xa = vLinePoint && vLinePoint.xa;\n        ya = vLinePoint && vLinePoint.ya;\n        var xSnap = xa.spikesnap;\n\n        if(xSnap === 'cursor') {\n            vLinePointX = evt.pointerX;\n            vLinePointY = evt.pointerY;\n        } else {\n            vLinePointX = xa._offset + vLinePoint.x;\n            vLinePointY = ya._offset + vLinePoint.y;\n        }\n        var dfltVLineColor = tinycolor.readability(vLinePoint.color, contrastColor) < 1.5 ?\n            Color.contrast(contrastColor) : vLinePoint.color;\n        var xMode = xa.spikemode;\n        var xThickness = xa.spikethickness;\n        var xColor = xa.spikecolor || dfltVLineColor;\n        var xBB = xa._boundingBox;\n        var yEdge = ((xBB.top + xBB.bottom) / 2) < vLinePointY ? xBB.bottom : xBB.top;\n        var yBase, yEndSpike;\n\n        if(xMode.indexOf('toaxis') !== -1 || xMode.indexOf('across') !== -1) {\n            if(xMode.indexOf('toaxis') !== -1) {\n                yBase = yEdge;\n                yEndSpike = vLinePointY;\n            }\n            if(xMode.indexOf('across') !== -1) {\n                yBase = xa._counterSpan[0];\n                yEndSpike = xa._counterSpan[1];\n            }\n\n            // Foreground vertical line (to x-axis)\n            container.insert('line', ':first-child')\n                .attr({\n                    x1: vLinePointX,\n                    x2: vLinePointX,\n                    y1: yBase,\n                    y2: yEndSpike,\n                    'stroke-width': xThickness,\n                    stroke: xColor,\n                    'stroke-dasharray': Drawing.dashStyle(xa.spikedash, xThickness)\n                })\n                .classed('spikeline', true)\n                .classed('crisp', true);\n\n            // Background vertical line (to x-axis)\n            container.insert('line', ':first-child')\n                .attr({\n                    x1: vLinePointX,\n                    x2: vLinePointX,\n                    y1: yBase,\n                    y2: yEndSpike,\n                    'stroke-width': xThickness + 2,\n                    stroke: contrastColor\n                })\n                .classed('spikeline', true)\n                .classed('crisp', true);\n        }\n\n        // X axis marker\n        if(xMode.indexOf('marker') !== -1) {\n            container.insert('circle', ':first-child')\n                .attr({\n                    cx: vLinePointX,\n                    cy: yEdge - (xa.side !== 'top' ? xThickness : -xThickness),\n                    r: xThickness,\n                    fill: xColor\n                })\n                .classed('spikeline', true);\n        }\n    }\n}\n\nfunction hoverChanged(gd, evt, oldhoverdata) {\n    // don't emit any events if nothing changed\n    if(!oldhoverdata || oldhoverdata.length !== gd._hoverdata.length) return true;\n\n    for(var i = oldhoverdata.length - 1; i >= 0; i--) {\n        var oldPt = oldhoverdata[i];\n        var newPt = gd._hoverdata[i];\n        if(oldPt.curveNumber !== newPt.curveNumber ||\n                String(oldPt.pointNumber) !== String(newPt.pointNumber)) {\n            return true;\n        }\n    }\n    return false;\n}\n\nfunction spikesChanged(gd, oldspikepoints) {\n    // don't relayout the plot because of new spikelines if spikelines points didn't change\n    if(!oldspikepoints) return true;\n    if(oldspikepoints.vLinePoint !== gd._spikepoints.vLinePoint ||\n        oldspikepoints.hLinePoint !== gd._spikepoints.hLinePoint\n    ) return true;\n    return false;\n}\n\n},{\"../../lib\":696,\"../../lib/events\":684,\"../../lib/override_cursor\":708,\"../../lib/svg_text_utils\":721,\"../../plots/cartesian/axes\":745,\"../../registry\":828,\"../color\":570,\"../dragelement\":592,\"../drawing\":595,\"./constants\":607,\"./helpers\":609,\"d3\":148,\"fast-isnumeric\":214,\"tinycolor2\":514}],611:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nmodule.exports = function handleHoverLabelDefaults(contIn, contOut, coerce, opts) {\n    opts = opts || {};\n\n    coerce('hoverlabel.bgcolor', opts.bgcolor);\n    coerce('hoverlabel.bordercolor', opts.bordercolor);\n    coerce('hoverlabel.namelength', opts.namelength);\n    Lib.coerceFont(coerce, 'hoverlabel.font', opts.font);\n};\n\n},{\"../../lib\":696}],612:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Lib = _dereq_('../../lib');\nvar dragElement = _dereq_('../dragelement');\nvar helpers = _dereq_('./helpers');\nvar layoutAttributes = _dereq_('./layout_attributes');\nvar hoverModule = _dereq_('./hover');\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'fx',\n\n    constants: _dereq_('./constants'),\n    schema: {\n        layout: layoutAttributes\n    },\n\n    attributes: _dereq_('./attributes'),\n    layoutAttributes: layoutAttributes,\n\n    supplyLayoutGlobalDefaults: _dereq_('./layout_global_defaults'),\n    supplyDefaults: _dereq_('./defaults'),\n    supplyLayoutDefaults: _dereq_('./layout_defaults'),\n\n    calc: _dereq_('./calc'),\n\n    getDistanceFunction: helpers.getDistanceFunction,\n    getClosest: helpers.getClosest,\n    inbox: helpers.inbox,\n    quadrature: helpers.quadrature,\n    appendArrayPointValue: helpers.appendArrayPointValue,\n\n    castHoverOption: castHoverOption,\n    castHoverinfo: castHoverinfo,\n\n    hover: hoverModule.hover,\n    unhover: dragElement.unhover,\n\n    loneHover: hoverModule.loneHover,\n    multiHovers: hoverModule.multiHovers,\n    loneUnhover: loneUnhover,\n\n    click: _dereq_('./click')\n};\n\nfunction loneUnhover(containerOrSelection) {\n    // duck type whether the arg is a d3 selection because ie9 doesn't\n    // handle instanceof like modern browsers do.\n    var selection = Lib.isD3Selection(containerOrSelection) ?\n            containerOrSelection :\n            d3.select(containerOrSelection);\n\n    selection.selectAll('g.hovertext').remove();\n    selection.selectAll('.spikeline').remove();\n}\n\n// helpers for traces that use Fx.loneHover\n\nfunction castHoverOption(trace, ptNumber, attr) {\n    return Lib.castOption(trace, ptNumber, 'hoverlabel.' + attr);\n}\n\nfunction castHoverinfo(trace, fullLayout, ptNumber) {\n    function _coerce(val) {\n        return Lib.coerceHoverinfo({hoverinfo: val}, {_module: trace._module}, fullLayout);\n    }\n\n    return Lib.castOption(trace, ptNumber, 'hoverinfo', _coerce);\n}\n\n},{\"../../lib\":696,\"../dragelement\":592,\"./attributes\":604,\"./calc\":605,\"./click\":606,\"./constants\":607,\"./defaults\":608,\"./helpers\":609,\"./hover\":610,\"./layout_attributes\":613,\"./layout_defaults\":614,\"./layout_global_defaults\":615,\"d3\":148}],613:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar constants = _dereq_('./constants');\n\nvar fontAttrs = _dereq_('../../plots/font_attributes')({\n    editType: 'none',\n    \n});\nfontAttrs.family.dflt = constants.HOVERFONT;\nfontAttrs.size.dflt = constants.HOVERFONTSIZE;\n\nmodule.exports = {\n    clickmode: {\n        valType: 'flaglist',\n        \n        flags: ['event', 'select'],\n        dflt: 'event',\n        editType: 'plot',\n        extras: ['none'],\n        \n    },\n    dragmode: {\n        valType: 'enumerated',\n        \n        values: ['zoom', 'pan', 'select', 'lasso', 'orbit', 'turntable'],\n        dflt: 'zoom',\n        editType: 'modebar',\n        \n    },\n    hovermode: {\n        valType: 'enumerated',\n        \n        values: ['x', 'y', 'closest', false],\n        editType: 'modebar',\n        \n    },\n    hoverdistance: {\n        valType: 'integer',\n        min: -1,\n        dflt: 20,\n        \n        editType: 'none',\n        \n    },\n    spikedistance: {\n        valType: 'integer',\n        min: -1,\n        dflt: 20,\n        \n        editType: 'none',\n        \n    },\n    hoverlabel: {\n        bgcolor: {\n            valType: 'color',\n            \n            editType: 'none',\n            \n        },\n        bordercolor: {\n            valType: 'color',\n            \n            editType: 'none',\n            \n        },\n        font: fontAttrs,\n        namelength: {\n            valType: 'integer',\n            min: -1,\n            dflt: 15,\n            \n            editType: 'none',\n            \n        },\n        editType: 'none'\n    },\n    selectdirection: {\n        valType: 'enumerated',\n        \n        values: ['h', 'v', 'd', 'any'],\n        dflt: 'any',\n        \n        editType: 'none'\n    }\n};\n\n},{\"../../plots/font_attributes\":772,\"./constants\":607}],614:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar layoutAttributes = _dereq_('./layout_attributes');\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut, fullData) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(layoutIn, layoutOut, layoutAttributes, attr, dflt);\n    }\n\n    var clickmode = coerce('clickmode');\n\n    var dragMode = coerce('dragmode');\n    if(dragMode === 'select') coerce('selectdirection');\n\n    var hovermodeDflt;\n    if(layoutOut._has('cartesian')) {\n        if(clickmode.indexOf('select') > -1) {\n            hovermodeDflt = 'closest';\n        } else {\n            // flag for 'horizontal' plots:\n            // determines the state of the mode bar 'compare' hovermode button\n            layoutOut._isHoriz = isHoriz(fullData);\n            hovermodeDflt = layoutOut._isHoriz ? 'y' : 'x';\n        }\n    }\n    else hovermodeDflt = 'closest';\n\n    var hoverMode = coerce('hovermode', hovermodeDflt);\n    if(hoverMode) {\n        coerce('hoverdistance');\n        coerce('spikedistance');\n    }\n\n    // if only mapbox or geo subplots is present on graph,\n    // reset 'zoom' dragmode to 'pan' until 'zoom' is implemented,\n    // so that the correct modebar button is active\n    var hasMapbox = layoutOut._has('mapbox');\n    var hasGeo = layoutOut._has('geo');\n    var len = layoutOut._basePlotModules.length;\n\n    if(layoutOut.dragmode === 'zoom' && (\n        ((hasMapbox || hasGeo) && len === 1) ||\n        (hasMapbox && hasGeo && len === 2)\n    )) {\n        layoutOut.dragmode = 'pan';\n    }\n};\n\nfunction isHoriz(fullData) {\n    var out = true;\n\n    for(var i = 0; i < fullData.length; i++) {\n        var trace = fullData[i];\n\n        if(trace.orientation !== 'h') {\n            out = false;\n            break;\n        }\n    }\n\n    return out;\n}\n\n},{\"../../lib\":696,\"./layout_attributes\":613}],615:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar handleHoverLabelDefaults = _dereq_('./hoverlabel_defaults');\nvar layoutAttributes = _dereq_('./layout_attributes');\n\nmodule.exports = function supplyLayoutGlobalDefaults(layoutIn, layoutOut) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(layoutIn, layoutOut, layoutAttributes, attr, dflt);\n    }\n\n    handleHoverLabelDefaults(layoutIn, layoutOut, coerce);\n};\n\n},{\"../../lib\":696,\"./hoverlabel_defaults\":611,\"./layout_attributes\":613}],616:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar counterRegex = _dereq_('../../lib/regex').counter;\nvar domainAttrs = _dereq_('../../plots/domain').attributes;\nvar cartesianIdRegex = _dereq_('../../plots/cartesian/constants').idRegex;\nvar Template = _dereq_('../../plot_api/plot_template');\n\nvar gridAttrs = {\n    rows: {\n        valType: 'integer',\n        min: 1,\n        \n        editType: 'plot',\n        \n    },\n    roworder: {\n        valType: 'enumerated',\n        values: ['top to bottom', 'bottom to top'],\n        dflt: 'top to bottom',\n        \n        editType: 'plot',\n        \n    },\n    columns: {\n        valType: 'integer',\n        min: 1,\n        \n        editType: 'plot',\n        \n    },\n    subplots: {\n        valType: 'info_array',\n        freeLength: true,\n        dimensions: 2,\n        items: {valType: 'enumerated', values: [counterRegex('xy').toString(), ''], editType: 'plot'},\n        \n        editType: 'plot',\n        \n    },\n    xaxes: {\n        valType: 'info_array',\n        freeLength: true,\n        items: {valType: 'enumerated', values: [cartesianIdRegex.x.toString(), ''], editType: 'plot'},\n        \n        editType: 'plot',\n        \n    },\n    yaxes: {\n        valType: 'info_array',\n        freeLength: true,\n        items: {valType: 'enumerated', values: [cartesianIdRegex.y.toString(), ''], editType: 'plot'},\n        \n        editType: 'plot',\n        \n    },\n    pattern: {\n        valType: 'enumerated',\n        values: ['independent', 'coupled'],\n        dflt: 'coupled',\n        \n        editType: 'plot',\n        \n    },\n    xgap: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        \n        editType: 'plot',\n        \n    },\n    ygap: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        \n        editType: 'plot',\n        \n    },\n    domain: domainAttrs({name: 'grid', editType: 'plot', noGridCell: true}, {\n        \n    }),\n    xside: {\n        valType: 'enumerated',\n        values: ['bottom', 'bottom plot', 'top plot', 'top'],\n        dflt: 'bottom plot',\n        \n        editType: 'plot',\n        \n    },\n    yside: {\n        valType: 'enumerated',\n        values: ['left', 'left plot', 'right plot', 'right'],\n        dflt: 'left plot',\n        \n        editType: 'plot',\n        \n    },\n    editType: 'plot'\n};\n\nfunction getAxes(layout, grid, axLetter) {\n    var gridVal = grid[axLetter + 'axes'];\n    var splomVal = Object.keys((layout._splomAxes || {})[axLetter] || {});\n\n    if(Array.isArray(gridVal)) return gridVal;\n    if(splomVal.length) return splomVal;\n}\n\n// the shape of the grid - this needs to be done BEFORE supplyDataDefaults\n// so that non-subplot traces can place themselves in the grid\nfunction sizeDefaults(layoutIn, layoutOut) {\n    var gridIn = layoutIn.grid || {};\n    var xAxes = getAxes(layoutOut, gridIn, 'x');\n    var yAxes = getAxes(layoutOut, gridIn, 'y');\n\n    if(!layoutIn.grid && !xAxes && !yAxes) return;\n\n    var hasSubplotGrid = Array.isArray(gridIn.subplots) && Array.isArray(gridIn.subplots[0]);\n    var hasXaxes = Array.isArray(xAxes);\n    var hasYaxes = Array.isArray(yAxes);\n    var isSplomGenerated = (\n        hasXaxes && xAxes !== gridIn.xaxes &&\n        hasYaxes && yAxes !== gridIn.yaxes\n    );\n\n    var dfltRows, dfltColumns;\n\n    if(hasSubplotGrid) {\n        dfltRows = gridIn.subplots.length;\n        dfltColumns = gridIn.subplots[0].length;\n    }\n    else {\n        if(hasYaxes) dfltRows = yAxes.length;\n        if(hasXaxes) dfltColumns = xAxes.length;\n    }\n\n    var gridOut = Template.newContainer(layoutOut, 'grid');\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(gridIn, gridOut, gridAttrs, attr, dflt);\n    }\n\n    var rows = coerce('rows', dfltRows);\n    var columns = coerce('columns', dfltColumns);\n\n    if(!(rows * columns > 1)) {\n        delete layoutOut.grid;\n        return;\n    }\n\n    if(!hasSubplotGrid && !hasXaxes && !hasYaxes) {\n        var useDefaultSubplots = coerce('pattern') === 'independent';\n        if(useDefaultSubplots) hasSubplotGrid = true;\n    }\n    gridOut._hasSubplotGrid = hasSubplotGrid;\n\n    var rowOrder = coerce('roworder');\n    var reversed = rowOrder === 'top to bottom';\n\n    var dfltGapX = hasSubplotGrid ? 0.2 : 0.1;\n    var dfltGapY = hasSubplotGrid ? 0.3 : 0.1;\n\n    var dfltSideX, dfltSideY;\n    if(isSplomGenerated && layoutOut._splomGridDflt) {\n        dfltSideX = layoutOut._splomGridDflt.xside;\n        dfltSideY = layoutOut._splomGridDflt.yside;\n    }\n\n    gridOut._domains = {\n        x: fillGridPositions('x', coerce, dfltGapX, dfltSideX, columns),\n        y: fillGridPositions('y', coerce, dfltGapY, dfltSideY, rows, reversed)\n    };\n}\n\n// coerce x or y sizing attributes and return an array of domains for this direction\nfunction fillGridPositions(axLetter, coerce, dfltGap, dfltSide, len, reversed) {\n    var dirGap = coerce(axLetter + 'gap', dfltGap);\n    var domain = coerce('domain.' + axLetter);\n    coerce(axLetter + 'side', dfltSide);\n\n    var out = new Array(len);\n    var start = domain[0];\n    var step = (domain[1] - start) / (len - dirGap);\n    var cellDomain = step * (1 - dirGap);\n    for(var i = 0; i < len; i++) {\n        var cellStart = start + step * i;\n        out[reversed ? (len - 1 - i) : i] = [cellStart, cellStart + cellDomain];\n    }\n    return out;\n}\n\n// the (cartesian) contents of the grid - this needs to happen AFTER supplyDataDefaults\n// so that we know what cartesian subplots are available\nfunction contentDefaults(layoutIn, layoutOut) {\n    var gridOut = layoutOut.grid;\n    // make sure we got to the end of handleGridSizing\n    if(!gridOut || !gridOut._domains) return;\n\n    var gridIn = layoutIn.grid || {};\n    var subplots = layoutOut._subplots;\n    var hasSubplotGrid = gridOut._hasSubplotGrid;\n    var rows = gridOut.rows;\n    var columns = gridOut.columns;\n    var useDefaultSubplots = gridOut.pattern === 'independent';\n\n    var i, j, xId, yId, subplotId, subplotsOut, yPos;\n\n    var axisMap = gridOut._axisMap = {};\n\n    if(hasSubplotGrid) {\n        var subplotsIn = gridIn.subplots || [];\n        subplotsOut = gridOut.subplots = new Array(rows);\n        var index = 1;\n\n        for(i = 0; i < rows; i++) {\n            var rowOut = subplotsOut[i] = new Array(columns);\n            var rowIn = subplotsIn[i] || [];\n            for(j = 0; j < columns; j++) {\n                if(useDefaultSubplots) {\n                    subplotId = (index === 1) ? 'xy' : ('x' + index + 'y' + index);\n                    index++;\n                }\n                else subplotId = rowIn[j];\n\n                rowOut[j] = '';\n\n                if(subplots.cartesian.indexOf(subplotId) !== -1) {\n                    yPos = subplotId.indexOf('y');\n                    xId = subplotId.slice(0, yPos);\n                    yId = subplotId.slice(yPos);\n                    if((axisMap[xId] !== undefined && axisMap[xId] !== j) ||\n                        (axisMap[yId] !== undefined && axisMap[yId] !== i)\n                    ) {\n                        continue;\n                    }\n\n                    rowOut[j] = subplotId;\n                    axisMap[xId] = j;\n                    axisMap[yId] = i;\n                }\n            }\n        }\n    }\n    else {\n        var xAxes = getAxes(layoutOut, gridIn, 'x');\n        var yAxes = getAxes(layoutOut, gridIn, 'y');\n        gridOut.xaxes = fillGridAxes(xAxes, subplots.xaxis, columns, axisMap, 'x');\n        gridOut.yaxes = fillGridAxes(yAxes, subplots.yaxis, rows, axisMap, 'y');\n    }\n\n    var anchors = gridOut._anchors = {};\n    var reversed = gridOut.roworder === 'top to bottom';\n\n    for(var axisId in axisMap) {\n        var axLetter = axisId.charAt(0);\n        var side = gridOut[axLetter + 'side'];\n\n        var i0, inc, iFinal;\n\n        if(side.length < 8) {\n            // grid edge -  ie not \"* plot\" - make these as free axes\n            // since we're not guaranteed to have a subplot there at all\n            anchors[axisId] = 'free';\n        }\n        else if(axLetter === 'x') {\n            if((side.charAt(0) === 't') === reversed) {\n                i0 = 0;\n                inc = 1;\n                iFinal = rows;\n            }\n            else {\n                i0 = rows - 1;\n                inc = -1;\n                iFinal = -1;\n            }\n            if(hasSubplotGrid) {\n                var column = axisMap[axisId];\n                for(i = i0; i !== iFinal; i += inc) {\n                    subplotId = subplotsOut[i][column];\n                    if(!subplotId) continue;\n                    yPos = subplotId.indexOf('y');\n                    if(subplotId.slice(0, yPos) === axisId) {\n                        anchors[axisId] = subplotId.slice(yPos);\n                        break;\n                    }\n                }\n            }\n            else {\n                for(i = i0; i !== iFinal; i += inc) {\n                    yId = gridOut.yaxes[i];\n                    if(subplots.cartesian.indexOf(axisId + yId) !== -1) {\n                        anchors[axisId] = yId;\n                        break;\n                    }\n                }\n            }\n        }\n        else {\n            if((side.charAt(0) === 'l')) {\n                i0 = 0;\n                inc = 1;\n                iFinal = columns;\n            }\n            else {\n                i0 = columns - 1;\n                inc = -1;\n                iFinal = -1;\n            }\n            if(hasSubplotGrid) {\n                var row = axisMap[axisId];\n                for(i = i0; i !== iFinal; i += inc) {\n                    subplotId = subplotsOut[row][i];\n                    if(!subplotId) continue;\n                    yPos = subplotId.indexOf('y');\n                    if(subplotId.slice(yPos) === axisId) {\n                        anchors[axisId] = subplotId.slice(0, yPos);\n                        break;\n                    }\n                }\n            }\n            else {\n                for(i = i0; i !== iFinal; i += inc) {\n                    xId = gridOut.xaxes[i];\n                    if(subplots.cartesian.indexOf(xId + axisId) !== -1) {\n                        anchors[axisId] = xId;\n                        break;\n                    }\n                }\n            }\n        }\n    }\n}\n\nfunction fillGridAxes(axesIn, axesAllowed, len, axisMap, axLetter) {\n    var out = new Array(len);\n    var i;\n\n    function fillOneAxis(i, axisId) {\n        if(axesAllowed.indexOf(axisId) !== -1 && axisMap[axisId] === undefined) {\n            out[i] = axisId;\n            axisMap[axisId] = i;\n        }\n        else out[i] = '';\n    }\n\n    if(Array.isArray(axesIn)) {\n        for(i = 0; i < len; i++) {\n            fillOneAxis(i, axesIn[i]);\n        }\n    }\n    else {\n        // default axis list is the first `len` axis ids\n        fillOneAxis(0, axLetter);\n        for(i = 1; i < len; i++) {\n            fillOneAxis(i, axLetter + (i + 1));\n        }\n    }\n\n    return out;\n}\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'grid',\n\n    schema: {\n        layout: {grid: gridAttrs}\n    },\n\n    layoutAttributes: gridAttrs,\n    sizeDefaults: sizeDefaults,\n    contentDefaults: contentDefaults\n};\n\n},{\"../../lib\":696,\"../../lib/regex\":713,\"../../plot_api/plot_template\":735,\"../../plots/cartesian/constants\":751,\"../../plots/domain\":771}],617:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar cartesianConstants = _dereq_('../../plots/cartesian/constants');\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\n\n\nmodule.exports = templatedArray('image', {\n    visible: {\n        valType: 'boolean',\n        \n        dflt: true,\n        editType: 'arraydraw',\n        \n    },\n\n    source: {\n        valType: 'string',\n        \n        editType: 'arraydraw',\n        \n    },\n\n    layer: {\n        valType: 'enumerated',\n        values: ['below', 'above'],\n        dflt: 'above',\n        \n        editType: 'arraydraw',\n        \n    },\n\n    sizex: {\n        valType: 'number',\n        \n        dflt: 0,\n        editType: 'arraydraw',\n        \n    },\n\n    sizey: {\n        valType: 'number',\n        \n        dflt: 0,\n        editType: 'arraydraw',\n        \n    },\n\n    sizing: {\n        valType: 'enumerated',\n        values: ['fill', 'contain', 'stretch'],\n        dflt: 'contain',\n        \n        editType: 'arraydraw',\n        \n    },\n\n    opacity: {\n        valType: 'number',\n        \n        min: 0,\n        max: 1,\n        dflt: 1,\n        editType: 'arraydraw',\n        \n    },\n\n    x: {\n        valType: 'any',\n        \n        dflt: 0,\n        editType: 'arraydraw',\n        \n    },\n\n    y: {\n        valType: 'any',\n        \n        dflt: 0,\n        editType: 'arraydraw',\n        \n    },\n\n    xanchor: {\n        valType: 'enumerated',\n        values: ['left', 'center', 'right'],\n        dflt: 'left',\n        \n        editType: 'arraydraw',\n        \n    },\n\n    yanchor: {\n        valType: 'enumerated',\n        values: ['top', 'middle', 'bottom'],\n        dflt: 'top',\n        \n        editType: 'arraydraw',\n        \n    },\n\n    xref: {\n        valType: 'enumerated',\n        values: [\n            'paper',\n            cartesianConstants.idRegex.x.toString()\n        ],\n        dflt: 'paper',\n        \n        editType: 'arraydraw',\n        \n    },\n\n    yref: {\n        valType: 'enumerated',\n        values: [\n            'paper',\n            cartesianConstants.idRegex.y.toString()\n        ],\n        dflt: 'paper',\n        \n        editType: 'arraydraw',\n        \n    },\n    editType: 'arraydraw'\n});\n\n},{\"../../plot_api/plot_template\":735,\"../../plots/cartesian/constants\":751}],618:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar toLogRange = _dereq_('../../lib/to_log_range');\n\n/*\n * convertCoords: when converting an axis between log and linear\n * you need to alter any images on that axis to keep them\n * pointing at the same data point.\n * In v2.0 this will become obsolete (or perhaps size will still need conversion?)\n * we convert size by declaring that the maximum extent *in data units* should be\n * the same, assuming the image is anchored by its center (could remove that restriction\n * if we think it's important) even though the actual left and right values will not be\n * quite the same since the scale becomes nonlinear (and central anchor means the pixel\n * center of the image, not the data units center)\n *\n * gd: the plot div\n * ax: the axis being changed\n * newType: the type it's getting\n * doExtra: function(attr, val) from inside relayout that sets the attribute.\n *     Use this to make the changes as it's aware if any other changes in the\n *     same relayout call should override this conversion.\n */\nmodule.exports = function convertCoords(gd, ax, newType, doExtra) {\n    ax = ax || {};\n\n    var toLog = (newType === 'log') && (ax.type === 'linear'),\n        fromLog = (newType === 'linear') && (ax.type === 'log');\n\n    if(!(toLog || fromLog)) return;\n\n    var images = gd._fullLayout.images,\n        axLetter = ax._id.charAt(0),\n        image,\n        attrPrefix;\n\n    for(var i = 0; i < images.length; i++) {\n        image = images[i];\n        attrPrefix = 'images[' + i + '].';\n\n        if(image[axLetter + 'ref'] === ax._id) {\n            var currentPos = image[axLetter],\n                currentSize = image['size' + axLetter],\n                newPos = null,\n                newSize = null;\n\n            if(toLog) {\n                newPos = toLogRange(currentPos, ax.range);\n\n                // this is the inverse of the conversion we do in fromLog below\n                // so that the conversion is reversible (notice the fromLog conversion\n                // is like sinh, and this one looks like arcsinh)\n                var dx = currentSize / Math.pow(10, newPos) / 2;\n                newSize = 2 * Math.log(dx + Math.sqrt(1 + dx * dx)) / Math.LN10;\n            }\n            else {\n                newPos = Math.pow(10, currentPos);\n                newSize = newPos * (Math.pow(10, currentSize / 2) - Math.pow(10, -currentSize / 2));\n            }\n\n            // if conversion failed, delete the value so it can get a default later on\n            if(!isNumeric(newPos)) {\n                newPos = null;\n                newSize = null;\n            }\n            else if(!isNumeric(newSize)) newSize = null;\n\n            doExtra(attrPrefix + axLetter, newPos);\n            doExtra(attrPrefix + 'size' + axLetter, newSize);\n        }\n    }\n};\n\n},{\"../../lib/to_log_range\":723,\"fast-isnumeric\":214}],619:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar handleArrayContainerDefaults = _dereq_('../../plots/array_container_defaults');\n\nvar attributes = _dereq_('./attributes');\nvar name = 'images';\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut) {\n    var opts = {\n        name: name,\n        handleItemDefaults: imageDefaults\n    };\n\n    handleArrayContainerDefaults(layoutIn, layoutOut, opts);\n};\n\n\nfunction imageDefaults(imageIn, imageOut, fullLayout) {\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(imageIn, imageOut, attributes, attr, dflt);\n    }\n\n    var source = coerce('source');\n    var visible = coerce('visible', !!source);\n\n    if(!visible) return imageOut;\n\n    coerce('layer');\n    coerce('xanchor');\n    coerce('yanchor');\n    coerce('sizex');\n    coerce('sizey');\n    coerce('sizing');\n    coerce('opacity');\n\n    var gdMock = { _fullLayout: fullLayout },\n        axLetters = ['x', 'y'];\n\n    for(var i = 0; i < 2; i++) {\n        // 'paper' is the fallback axref\n        var axLetter = axLetters[i],\n            axRef = Axes.coerceRef(imageIn, imageOut, gdMock, axLetter, 'paper');\n\n        Axes.coercePosition(imageOut, gdMock, coerce, axRef, axLetter, 0);\n    }\n\n    return imageOut;\n}\n\n},{\"../../lib\":696,\"../../plots/array_container_defaults\":741,\"../../plots/cartesian/axes\":745,\"./attributes\":617}],620:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Drawing = _dereq_('../drawing');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar xmlnsNamespaces = _dereq_('../../constants/xmlns_namespaces');\n\nmodule.exports = function draw(gd) {\n    var fullLayout = gd._fullLayout,\n        imageDataAbove = [],\n        imageDataSubplot = {},\n        imageDataBelow = [],\n        subplot,\n        i;\n\n    // Sort into top, subplot, and bottom layers\n    for(i = 0; i < fullLayout.images.length; i++) {\n        var img = fullLayout.images[i];\n\n        if(img.visible) {\n            if(img.layer === 'below' && img.xref !== 'paper' && img.yref !== 'paper') {\n                subplot = img.xref + img.yref;\n\n                var plotinfo = fullLayout._plots[subplot];\n\n                if(!plotinfo) {\n                    // Fall back to _imageLowerLayer in case the requested subplot doesn't exist.\n                    // This can happen if you reference the image to an x / y axis combination\n                    // that doesn't have any data on it (and layer is below)\n                    imageDataBelow.push(img);\n                    continue;\n                }\n\n                if(plotinfo.mainplot) {\n                    subplot = plotinfo.mainplot.id;\n                }\n\n                if(!imageDataSubplot[subplot]) {\n                    imageDataSubplot[subplot] = [];\n                }\n                imageDataSubplot[subplot].push(img);\n            } else if(img.layer === 'above') {\n                imageDataAbove.push(img);\n            } else {\n                imageDataBelow.push(img);\n            }\n        }\n    }\n\n\n    var anchors = {\n        x: {\n            left: { sizing: 'xMin', offset: 0 },\n            center: { sizing: 'xMid', offset: -1 / 2 },\n            right: { sizing: 'xMax', offset: -1 }\n        },\n        y: {\n            top: { sizing: 'YMin', offset: 0 },\n            middle: { sizing: 'YMid', offset: -1 / 2 },\n            bottom: { sizing: 'YMax', offset: -1 }\n        }\n    };\n\n\n    // Images must be converted to dataURL's for exporting.\n    function setImage(d) {\n        var thisImage = d3.select(this);\n\n        if(this.img && this.img.src === d.source) {\n            return;\n        }\n\n        thisImage.attr('xmlns', xmlnsNamespaces.svg);\n\n        var imagePromise = new Promise(function(resolve) {\n\n            var img = new Image();\n            this.img = img;\n\n            // If not set, a `tainted canvas` error is thrown\n            img.setAttribute('crossOrigin', 'anonymous');\n            img.onerror = errorHandler;\n            img.onload = function() {\n                var canvas = document.createElement('canvas');\n                canvas.width = this.width;\n                canvas.height = this.height;\n\n                var ctx = canvas.getContext('2d');\n                ctx.drawImage(this, 0, 0);\n\n                var dataURL = canvas.toDataURL('image/png');\n\n                thisImage.attr('xlink:href', dataURL);\n\n                // resolve promise in onload handler instead of on 'load' to support IE11\n                // see https://github.com/plotly/plotly.js/issues/1685\n                // for more details\n                resolve();\n            };\n\n\n            thisImage.on('error', errorHandler);\n\n            img.src = d.source;\n\n            function errorHandler() {\n                thisImage.remove();\n                resolve();\n            }\n        }.bind(this));\n\n        gd._promises.push(imagePromise);\n    }\n\n    function applyAttributes(d) {\n        var thisImage = d3.select(this);\n\n        // Axes if specified\n        var xa = Axes.getFromId(gd, d.xref),\n            ya = Axes.getFromId(gd, d.yref);\n\n        var size = fullLayout._size,\n            width = xa ? Math.abs(xa.l2p(d.sizex) - xa.l2p(0)) : d.sizex * size.w,\n            height = ya ? Math.abs(ya.l2p(d.sizey) - ya.l2p(0)) : d.sizey * size.h;\n\n        // Offsets for anchor positioning\n        var xOffset = width * anchors.x[d.xanchor].offset,\n            yOffset = height * anchors.y[d.yanchor].offset;\n\n        var sizing = anchors.x[d.xanchor].sizing + anchors.y[d.yanchor].sizing;\n\n        // Final positions\n        var xPos = (xa ? xa.r2p(d.x) + xa._offset : d.x * size.w + size.l) + xOffset,\n            yPos = (ya ? ya.r2p(d.y) + ya._offset : size.h - d.y * size.h + size.t) + yOffset;\n\n\n        // Construct the proper aspectRatio attribute\n        switch(d.sizing) {\n            case 'fill':\n                sizing += ' slice';\n                break;\n\n            case 'stretch':\n                sizing = 'none';\n                break;\n        }\n\n        thisImage.attr({\n            x: xPos,\n            y: yPos,\n            width: width,\n            height: height,\n            preserveAspectRatio: sizing,\n            opacity: d.opacity\n        });\n\n\n        // Set proper clipping on images\n        var xId = xa ? xa._id : '',\n            yId = ya ? ya._id : '',\n            clipAxes = xId + yId;\n\n        thisImage.call(Drawing.setClipUrl, clipAxes ?\n            ('clip' + fullLayout._uid + clipAxes) :\n            null\n        );\n    }\n\n    var imagesBelow = fullLayout._imageLowerLayer.selectAll('image')\n            .data(imageDataBelow),\n        imagesAbove = fullLayout._imageUpperLayer.selectAll('image')\n            .data(imageDataAbove);\n\n    imagesBelow.enter().append('image');\n    imagesAbove.enter().append('image');\n\n    imagesBelow.exit().remove();\n    imagesAbove.exit().remove();\n\n    imagesBelow.each(function(d) {\n        setImage.bind(this)(d);\n        applyAttributes.bind(this)(d);\n    });\n    imagesAbove.each(function(d) {\n        setImage.bind(this)(d);\n        applyAttributes.bind(this)(d);\n    });\n\n    var allSubplots = Object.keys(fullLayout._plots);\n    for(i = 0; i < allSubplots.length; i++) {\n        subplot = allSubplots[i];\n        var subplotObj = fullLayout._plots[subplot];\n\n        // filter out overlaid plots (which havd their images on the main plot)\n        // and gl2d plots (which don't support below images, at least not yet)\n        if(!subplotObj.imagelayer) continue;\n\n        var imagesOnSubplot = subplotObj.imagelayer.selectAll('image')\n            // even if there are no images on this subplot, we need to run\n            // enter and exit in case there were previously\n            .data(imageDataSubplot[subplot] || []);\n\n        imagesOnSubplot.enter().append('image');\n        imagesOnSubplot.exit().remove();\n\n        imagesOnSubplot.each(function(d) {\n            setImage.bind(this)(d);\n            applyAttributes.bind(this)(d);\n        });\n    }\n};\n\n},{\"../../constants/xmlns_namespaces\":674,\"../../plots/cartesian/axes\":745,\"../drawing\":595,\"d3\":148}],621:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'images',\n\n    layoutAttributes: _dereq_('./attributes'),\n    supplyLayoutDefaults: _dereq_('./defaults'),\n    includeBasePlot: _dereq_('../../plots/cartesian/include_components')('images'),\n\n    draw: _dereq_('./draw'),\n\n    convertCoords: _dereq_('./convert_coords')\n};\n\n},{\"../../plots/cartesian/include_components\":756,\"./attributes\":617,\"./convert_coords\":618,\"./defaults\":619,\"./draw\":620}],622:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\n/**\n * Determine the position anchor property of x/y xanchor/yanchor components.\n *\n * - values < 1/3 align the low side at that fraction,\n * - values [1/3, 2/3] align the center at that fraction,\n * - values > 2/3 align the right at that fraction.\n */\n\nexports.isRightAnchor = function isRightAnchor(opts) {\n    return (\n        opts.xanchor === 'right' ||\n        (opts.xanchor === 'auto' && opts.x >= 2 / 3)\n    );\n};\n\nexports.isCenterAnchor = function isCenterAnchor(opts) {\n    return (\n        opts.xanchor === 'center' ||\n        (opts.xanchor === 'auto' && opts.x > 1 / 3 && opts.x < 2 / 3)\n    );\n};\n\nexports.isBottomAnchor = function isBottomAnchor(opts) {\n    return (\n        opts.yanchor === 'bottom' ||\n        (opts.yanchor === 'auto' && opts.y <= 1 / 3)\n    );\n};\n\nexports.isMiddleAnchor = function isMiddleAnchor(opts) {\n    return (\n        opts.yanchor === 'middle' ||\n        (opts.yanchor === 'auto' && opts.y > 1 / 3 && opts.y < 2 / 3)\n    );\n};\n\n},{}],623:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar colorAttrs = _dereq_('../color/attributes');\n\n\nmodule.exports = {\n    bgcolor: {\n        valType: 'color',\n        \n        editType: 'legend',\n        \n    },\n    bordercolor: {\n        valType: 'color',\n        dflt: colorAttrs.defaultLine,\n        \n        editType: 'legend',\n        \n    },\n    borderwidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'legend',\n        \n    },\n    font: fontAttrs({\n        editType: 'legend',\n        \n    }),\n    orientation: {\n        valType: 'enumerated',\n        values: ['v', 'h'],\n        dflt: 'v',\n        \n        editType: 'legend',\n        \n    },\n    traceorder: {\n        valType: 'flaglist',\n        flags: ['reversed', 'grouped'],\n        extras: ['normal'],\n        \n        editType: 'legend',\n        \n    },\n    tracegroupgap: {\n        valType: 'number',\n        min: 0,\n        dflt: 10,\n        \n        editType: 'legend',\n        \n    },\n    x: {\n        valType: 'number',\n        min: -2,\n        max: 3,\n        dflt: 1.02,\n        \n        editType: 'legend',\n        \n    },\n    xanchor: {\n        valType: 'enumerated',\n        values: ['auto', 'left', 'center', 'right'],\n        dflt: 'left',\n        \n        editType: 'legend',\n        \n    },\n    y: {\n        valType: 'number',\n        min: -2,\n        max: 3,\n        dflt: 1,\n        \n        editType: 'legend',\n        \n    },\n    yanchor: {\n        valType: 'enumerated',\n        values: ['auto', 'top', 'middle', 'bottom'],\n        dflt: 'auto',\n        \n        editType: 'legend',\n        \n    },\n    editType: 'legend'\n};\n\n},{\"../../plots/font_attributes\":772,\"../color/attributes\":569}],624:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    scrollBarWidth: 6,\n    scrollBarMinHeight: 20,\n    scrollBarColor: '#808BA4',\n    scrollBarMargin: 4,\n    textOffsetX: 40\n};\n\n},{}],625:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Template = _dereq_('../../plot_api/plot_template');\n\nvar attributes = _dereq_('./attributes');\nvar basePlotLayoutAttributes = _dereq_('../../plots/layout_attributes');\nvar helpers = _dereq_('./helpers');\n\n\nmodule.exports = function legendDefaults(layoutIn, layoutOut, fullData) {\n    var containerIn = layoutIn.legend || {};\n\n    var legendTraceCount = 0;\n    var legendReallyHasATrace = false;\n    var defaultOrder = 'normal';\n\n    var defaultX, defaultY, defaultXAnchor, defaultYAnchor;\n\n    for(var i = 0; i < fullData.length; i++) {\n        var trace = fullData[i];\n\n        if(!trace.visible) continue;\n\n        // Note that we explicitly count any trace that is either shown or\n        // *would* be shown by default, toward the two traces you need to\n        // ensure the legend is shown by default, because this can still help\n        // disambiguate.\n        if(trace.showlegend || trace._dfltShowLegend) {\n            legendTraceCount++;\n            if(trace.showlegend) {\n                legendReallyHasATrace = true;\n                // Always show the legend by default if there's a pie,\n                // or if there's only one trace but it's explicitly shown\n                if(Registry.traceIs(trace, 'pie') ||\n                    trace._input.showlegend === true\n                ) {\n                    legendTraceCount++;\n                }\n            }\n        }\n\n        if((Registry.traceIs(trace, 'bar') && layoutOut.barmode === 'stack') ||\n                ['tonextx', 'tonexty'].indexOf(trace.fill) !== -1) {\n            defaultOrder = helpers.isGrouped({traceorder: defaultOrder}) ?\n                'grouped+reversed' : 'reversed';\n        }\n\n        if(trace.legendgroup !== undefined && trace.legendgroup !== '') {\n            defaultOrder = helpers.isReversed({traceorder: defaultOrder}) ?\n                'reversed+grouped' : 'grouped';\n        }\n    }\n\n    var showLegend = Lib.coerce(layoutIn, layoutOut,\n        basePlotLayoutAttributes, 'showlegend',\n        legendReallyHasATrace && legendTraceCount > 1);\n\n    if(showLegend === false) return;\n\n    var containerOut = Template.newContainer(layoutOut, 'legend');\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(containerIn, containerOut, attributes, attr, dflt);\n    }\n\n    coerce('bgcolor', layoutOut.paper_bgcolor);\n    coerce('bordercolor');\n    coerce('borderwidth');\n    Lib.coerceFont(coerce, 'font', layoutOut.font);\n\n    coerce('orientation');\n    if(containerOut.orientation === 'h') {\n        var xaxis = layoutIn.xaxis;\n        if(xaxis && xaxis.rangeslider && xaxis.rangeslider.visible) {\n            defaultX = 0;\n            defaultXAnchor = 'left';\n            defaultY = 1.1;\n            defaultYAnchor = 'bottom';\n        }\n        else {\n            defaultX = 0;\n            defaultXAnchor = 'left';\n            defaultY = -0.1;\n            defaultYAnchor = 'top';\n        }\n    }\n\n    coerce('traceorder', defaultOrder);\n    if(helpers.isGrouped(layoutOut.legend)) coerce('tracegroupgap');\n\n    coerce('x', defaultX);\n    coerce('xanchor', defaultXAnchor);\n    coerce('y', defaultY);\n    coerce('yanchor', defaultYAnchor);\n    Lib.noneOrAll(containerIn, containerOut, ['x', 'y']);\n};\n\n},{\"../../lib\":696,\"../../plot_api/plot_template\":735,\"../../plots/layout_attributes\":800,\"../../registry\":828,\"./attributes\":623,\"./helpers\":629}],626:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Lib = _dereq_('../../lib');\nvar Plots = _dereq_('../../plots/plots');\nvar Registry = _dereq_('../../registry');\nvar Events = _dereq_('../../lib/events');\nvar dragElement = _dereq_('../dragelement');\nvar Drawing = _dereq_('../drawing');\nvar Color = _dereq_('../color');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar handleClick = _dereq_('./handle_click');\n\nvar constants = _dereq_('./constants');\nvar interactConstants = _dereq_('../../constants/interactions');\nvar alignmentConstants = _dereq_('../../constants/alignment');\nvar LINE_SPACING = alignmentConstants.LINE_SPACING;\nvar FROM_TL = alignmentConstants.FROM_TL;\nvar FROM_BR = alignmentConstants.FROM_BR;\n\nvar getLegendData = _dereq_('./get_legend_data');\nvar style = _dereq_('./style');\nvar helpers = _dereq_('./helpers');\nvar anchorUtils = _dereq_('./anchor_utils');\n\nvar DBLCLICKDELAY = interactConstants.DBLCLICKDELAY;\n\nmodule.exports = function draw(gd) {\n    var fullLayout = gd._fullLayout;\n    var clipId = 'legend' + fullLayout._uid;\n\n    if(!fullLayout._infolayer || !gd.calcdata) return;\n\n    if(!gd._legendMouseDownTime) gd._legendMouseDownTime = 0;\n\n    var opts = fullLayout.legend;\n    var legendData = fullLayout.showlegend && getLegendData(gd.calcdata, opts);\n    var hiddenSlices = fullLayout.hiddenlabels || [];\n\n    if(!fullLayout.showlegend || !legendData.length) {\n        fullLayout._infolayer.selectAll('.legend').remove();\n        fullLayout._topdefs.select('#' + clipId).remove();\n\n        Plots.autoMargin(gd, 'legend');\n        return;\n    }\n\n    var maxLength = 0;\n    for(var i = 0; i < legendData.length; i++) {\n        for(var j = 0; j < legendData[i].length; j++) {\n            var item = legendData[i][j][0];\n            var trace = item.trace;\n            var isPie = Registry.traceIs(trace, 'pie');\n            var name = isPie ? item.label : trace.name;\n            maxLength = Math.max(maxLength, name && name.length || 0);\n        }\n    }\n\n    var firstRender = false;\n    var legend = Lib.ensureSingle(fullLayout._infolayer, 'g', 'legend', function(s) {\n        s.attr('pointer-events', 'all');\n        firstRender = true;\n    });\n\n    var clipPath = Lib.ensureSingleById(fullLayout._topdefs, 'clipPath', clipId, function(s) {\n        s.append('rect');\n    });\n\n    var bg = Lib.ensureSingle(legend, 'rect', 'bg', function(s) {\n        s.attr('shape-rendering', 'crispEdges');\n    });\n\n    bg.call(Color.stroke, opts.bordercolor)\n        .call(Color.fill, opts.bgcolor)\n        .style('stroke-width', opts.borderwidth + 'px');\n\n    var scrollBox = Lib.ensureSingle(legend, 'g', 'scrollbox');\n\n    var scrollBar = Lib.ensureSingle(legend, 'rect', 'scrollbar', function(s) {\n        s.attr({\n            rx: 20,\n            ry: 3,\n            width: 0,\n            height: 0\n        })\n        .call(Color.fill, '#808BA4');\n    });\n\n    var groups = scrollBox.selectAll('g.groups')\n        .data(legendData);\n\n    groups.enter().append('g')\n        .attr('class', 'groups');\n\n    groups.exit().remove();\n\n    var traces = groups.selectAll('g.traces')\n        .data(Lib.identity);\n\n    traces.enter().append('g').attr('class', 'traces');\n    traces.exit().remove();\n\n    traces.call(style, gd)\n        .style('opacity', function(d) {\n            var trace = d[0].trace;\n            if(Registry.traceIs(trace, 'pie')) {\n                return hiddenSlices.indexOf(d[0].label) !== -1 ? 0.5 : 1;\n            } else {\n                return trace.visible === 'legendonly' ? 0.5 : 1;\n            }\n        })\n        .each(function() {\n            d3.select(this)\n                .call(drawTexts, gd, maxLength)\n                .call(setupTraceToggle, gd);\n        });\n\n    Lib.syncOrAsync([Plots.previousPromises,\n        function() {\n            if(firstRender) {\n                computeLegendDimensions(gd, groups, traces);\n                expandMargin(gd);\n            }\n\n            // Position and size the legend\n            var lxMin = 0,\n                lxMax = fullLayout.width,\n                lyMin = 0,\n                lyMax = fullLayout.height;\n\n            computeLegendDimensions(gd, groups, traces);\n\n            if(opts._height > lyMax) {\n                // If the legend doesn't fit in the plot area,\n                // do not expand the vertical margins.\n                expandHorizontalMargin(gd);\n            } else {\n                expandMargin(gd);\n            }\n\n            // Scroll section must be executed after repositionLegend.\n            // It requires the legend width, height, x and y to position the scrollbox\n            // and these values are mutated in repositionLegend.\n            var gs = fullLayout._size,\n                lx = gs.l + gs.w * opts.x,\n                ly = gs.t + gs.h * (1 - opts.y);\n\n            if(anchorUtils.isRightAnchor(opts)) {\n                lx -= opts._width;\n            }\n            else if(anchorUtils.isCenterAnchor(opts)) {\n                lx -= opts._width / 2;\n            }\n\n            if(anchorUtils.isBottomAnchor(opts)) {\n                ly -= opts._height;\n            }\n            else if(anchorUtils.isMiddleAnchor(opts)) {\n                ly -= opts._height / 2;\n            }\n\n            // Make sure the legend left and right sides are visible\n            var legendWidth = opts._width,\n                legendWidthMax = gs.w;\n\n            if(legendWidth > legendWidthMax) {\n                lx = gs.l;\n                legendWidth = legendWidthMax;\n            }\n            else {\n                if(lx + legendWidth > lxMax) lx = lxMax - legendWidth;\n                if(lx < lxMin) lx = lxMin;\n                legendWidth = Math.min(lxMax - lx, opts._width);\n            }\n\n            // Make sure the legend top and bottom are visible\n            // (legends with a scroll bar are not allowed to stretch beyond the extended\n            // margins)\n            var legendHeight = opts._height,\n                legendHeightMax = gs.h;\n\n            if(legendHeight > legendHeightMax) {\n                ly = gs.t;\n                legendHeight = legendHeightMax;\n            }\n            else {\n                if(ly + legendHeight > lyMax) ly = lyMax - legendHeight;\n                if(ly < lyMin) ly = lyMin;\n                legendHeight = Math.min(lyMax - ly, opts._height);\n            }\n\n            // Set size and position of all the elements that make up a legend:\n            // legend, background and border, scroll box and scroll bar\n            Drawing.setTranslate(legend, lx, ly);\n\n            // to be safe, remove previous listeners\n            scrollBar.on('.drag', null);\n            legend.on('wheel', null);\n\n            if(opts._height <= legendHeight || gd._context.staticPlot) {\n                // if scrollbar should not be shown.\n                bg.attr({\n                    width: legendWidth - opts.borderwidth,\n                    height: legendHeight - opts.borderwidth,\n                    x: opts.borderwidth / 2,\n                    y: opts.borderwidth / 2\n                });\n\n                Drawing.setTranslate(scrollBox, 0, 0);\n\n                clipPath.select('rect').attr({\n                    width: legendWidth - 2 * opts.borderwidth,\n                    height: legendHeight - 2 * opts.borderwidth,\n                    x: opts.borderwidth,\n                    y: opts.borderwidth\n                });\n\n                Drawing.setClipUrl(scrollBox, clipId);\n\n                Drawing.setRect(scrollBar, 0, 0, 0, 0);\n                delete opts._scrollY;\n            }\n            else {\n                var scrollBarHeight = Math.max(constants.scrollBarMinHeight,\n                    legendHeight * legendHeight / opts._height);\n                var scrollBarYMax = legendHeight -\n                    scrollBarHeight -\n                    2 * constants.scrollBarMargin;\n                var scrollBoxYMax = opts._height - legendHeight;\n                var scrollRatio = scrollBarYMax / scrollBoxYMax;\n\n                var scrollBoxY = Math.min(opts._scrollY || 0, scrollBoxYMax);\n\n                // increase the background and clip-path width\n                // by the scrollbar width and margin\n                bg.attr({\n                    width: legendWidth -\n                        2 * opts.borderwidth +\n                        constants.scrollBarWidth +\n                        constants.scrollBarMargin,\n                    height: legendHeight - opts.borderwidth,\n                    x: opts.borderwidth / 2,\n                    y: opts.borderwidth / 2\n                });\n\n                clipPath.select('rect').attr({\n                    width: legendWidth -\n                        2 * opts.borderwidth +\n                        constants.scrollBarWidth +\n                        constants.scrollBarMargin,\n                    height: legendHeight - 2 * opts.borderwidth,\n                    x: opts.borderwidth,\n                    y: opts.borderwidth + scrollBoxY\n                });\n\n                Drawing.setClipUrl(scrollBox, clipId);\n\n                scrollHandler(scrollBoxY, scrollBarHeight, scrollRatio);\n\n                legend.on('wheel', function() {\n                    scrollBoxY = Lib.constrain(\n                        opts._scrollY +\n                            d3.event.deltaY / scrollBarYMax * scrollBoxYMax,\n                        0, scrollBoxYMax);\n                    scrollHandler(scrollBoxY, scrollBarHeight, scrollRatio);\n                    if(scrollBoxY !== 0 && scrollBoxY !== scrollBoxYMax) {\n                        d3.event.preventDefault();\n                    }\n                });\n\n                var eventY0, scrollBoxY0;\n\n                var drag = d3.behavior.drag()\n                .on('dragstart', function() {\n                    eventY0 = d3.event.sourceEvent.clientY;\n                    scrollBoxY0 = scrollBoxY;\n                })\n                .on('drag', function() {\n                    var e = d3.event.sourceEvent;\n                    if(e.buttons === 2 || e.ctrlKey) return;\n\n                    scrollBoxY = Lib.constrain(\n                        (e.clientY - eventY0) / scrollRatio + scrollBoxY0,\n                        0, scrollBoxYMax);\n                    scrollHandler(scrollBoxY, scrollBarHeight, scrollRatio);\n                });\n\n                scrollBar.call(drag);\n            }\n\n\n            function scrollHandler(scrollBoxY, scrollBarHeight, scrollRatio) {\n                opts._scrollY = gd._fullLayout.legend._scrollY = scrollBoxY;\n                Drawing.setTranslate(scrollBox, 0, -scrollBoxY);\n\n                Drawing.setRect(\n                    scrollBar,\n                    legendWidth,\n                    constants.scrollBarMargin + scrollBoxY * scrollRatio,\n                    constants.scrollBarWidth,\n                    scrollBarHeight\n                );\n                clipPath.select('rect').attr({\n                    y: opts.borderwidth + scrollBoxY\n                });\n            }\n\n            if(gd._context.edits.legendPosition) {\n                var xf, yf, x0, y0;\n\n                legend.classed('cursor-move', true);\n\n                dragElement.init({\n                    element: legend.node(),\n                    gd: gd,\n                    prepFn: function() {\n                        var transform = Drawing.getTranslate(legend);\n\n                        x0 = transform.x;\n                        y0 = transform.y;\n                    },\n                    moveFn: function(dx, dy) {\n                        var newX = x0 + dx,\n                            newY = y0 + dy;\n\n                        Drawing.setTranslate(legend, newX, newY);\n\n                        xf = dragElement.align(newX, 0, gs.l, gs.l + gs.w, opts.xanchor);\n                        yf = dragElement.align(newY, 0, gs.t + gs.h, gs.t, opts.yanchor);\n                    },\n                    doneFn: function() {\n                        if(xf !== undefined && yf !== undefined) {\n                            Registry.call('relayout', gd, {'legend.x': xf, 'legend.y': yf});\n                        }\n                    },\n                    clickFn: function(numClicks, e) {\n                        var clickedTrace = fullLayout._infolayer.selectAll('g.traces').filter(function() {\n                            var bbox = this.getBoundingClientRect();\n                            return (\n                                e.clientX >= bbox.left && e.clientX <= bbox.right &&\n                                e.clientY >= bbox.top && e.clientY <= bbox.bottom\n                            );\n                        });\n                        if(clickedTrace.size() > 0) {\n                            clickOrDoubleClick(gd, legend, clickedTrace, numClicks, e);\n                        }\n                    }\n                });\n            }\n        }], gd);\n};\n\nfunction clickOrDoubleClick(gd, legend, legendItem, numClicks, evt) {\n    var trace = legendItem.data()[0][0].trace;\n\n    var evtData = {\n        event: evt,\n        node: legendItem.node(),\n        curveNumber: trace.index,\n        expandedIndex: trace._expandedIndex,\n        data: gd.data,\n        layout: gd.layout,\n        frames: gd._transitionData._frames,\n        config: gd._context,\n        fullData: gd._fullData,\n        fullLayout: gd._fullLayout\n    };\n\n    if(trace._group) {\n        evtData.group = trace._group;\n    }\n    if(trace.type === 'pie') {\n        evtData.label = legendItem.datum()[0].label;\n    }\n\n    var clickVal = Events.triggerHandler(gd, 'plotly_legendclick', evtData);\n    if(clickVal === false) return;\n\n    if(numClicks === 1) {\n        legend._clickTimeout = setTimeout(function() {\n            handleClick(legendItem, gd, numClicks);\n        }, DBLCLICKDELAY);\n    }\n    else if(numClicks === 2) {\n        if(legend._clickTimeout) clearTimeout(legend._clickTimeout);\n        gd._legendMouseDownTime = 0;\n\n        var dblClickVal = Events.triggerHandler(gd, 'plotly_legenddoubleclick', evtData);\n        if(dblClickVal !== false) handleClick(legendItem, gd, numClicks);\n    }\n}\n\nfunction drawTexts(g, gd, maxLength) {\n    var legendItem = g.data()[0][0];\n    var fullLayout = gd._fullLayout;\n    var trace = legendItem.trace;\n    var isPie = Registry.traceIs(trace, 'pie');\n    var traceIndex = trace.index;\n    var name = isPie ? legendItem.label : trace.name;\n    var isEditable = gd._context.edits.legendText && !isPie;\n\n    var textEl = Lib.ensureSingle(g, 'text', 'legendtext');\n\n    textEl.attr('text-anchor', 'start')\n        .classed('user-select-none', true)\n        .call(Drawing.font, fullLayout.legend.font)\n        .text(isEditable ? ensureLength(name, maxLength) : name);\n\n    svgTextUtils.positionText(textEl, constants.textOffsetX, 0);\n\n    function textLayout(s) {\n        svgTextUtils.convertToTspans(s, gd, function() {\n            computeTextDimensions(g, gd);\n        });\n    }\n\n    if(isEditable) {\n        textEl.call(svgTextUtils.makeEditable, {gd: gd, text: name})\n            .call(textLayout)\n            .on('edit', function(newName) {\n                this.text(ensureLength(newName, maxLength))\n                    .call(textLayout);\n\n                var fullInput = legendItem.trace._fullInput || {};\n                var update = {};\n\n                if(Registry.hasTransform(fullInput, 'groupby')) {\n                    var groupbyIndices = Registry.getTransformIndices(fullInput, 'groupby');\n                    var index = groupbyIndices[groupbyIndices.length - 1];\n\n                    var kcont = Lib.keyedContainer(fullInput, 'transforms[' + index + '].styles', 'target', 'value.name');\n\n                    kcont.set(legendItem.trace._group, newName);\n\n                    update = kcont.constructUpdate();\n                } else {\n                    update.name = newName;\n                }\n\n                return Registry.call('restyle', gd, update, traceIndex);\n            });\n    } else {\n        textLayout(textEl);\n    }\n}\n\n/*\n * Make sure we have a reasonably clickable region.\n * If this string is missing or very short, pad it with spaces out to at least\n * 4 characters, up to the max length of other labels, on the assumption that\n * most characters are wider than spaces so a string of spaces will usually be\n * no wider than the real labels.\n */\nfunction ensureLength(str, maxLength) {\n    var targetLength = Math.max(4, maxLength);\n    if(str && str.trim().length >= targetLength / 2) return str;\n    str = str || '';\n    for(var i = targetLength - str.length; i > 0; i--) str += ' ';\n    return str;\n}\n\nfunction setupTraceToggle(g, gd) {\n    var newMouseDownTime,\n        numClicks = 1;\n\n    var traceToggle = Lib.ensureSingle(g, 'rect', 'legendtoggle', function(s) {\n        s.style('cursor', 'pointer')\n            .attr('pointer-events', 'all')\n            .call(Color.fill, 'rgba(0,0,0,0)');\n    });\n\n    traceToggle.on('mousedown', function() {\n        newMouseDownTime = (new Date()).getTime();\n        if(newMouseDownTime - gd._legendMouseDownTime < DBLCLICKDELAY) {\n            // in a click train\n            numClicks += 1;\n        }\n        else {\n            // new click train\n            numClicks = 1;\n            gd._legendMouseDownTime = newMouseDownTime;\n        }\n    });\n    traceToggle.on('mouseup', function() {\n        if(gd._dragged || gd._editing) return;\n        var legend = gd._fullLayout.legend;\n\n        if((new Date()).getTime() - gd._legendMouseDownTime > DBLCLICKDELAY) {\n            numClicks = Math.max(numClicks - 1, 1);\n        }\n\n        clickOrDoubleClick(gd, legend, g, numClicks, d3.event);\n    });\n}\n\nfunction computeTextDimensions(g, gd) {\n    var legendItem = g.data()[0][0];\n\n    if(!legendItem.trace.showlegend) {\n        g.remove();\n        return;\n    }\n\n    var mathjaxGroup = g.select('g[class*=math-group]');\n    var mathjaxNode = mathjaxGroup.node();\n    var opts = gd._fullLayout.legend;\n    var lineHeight = opts.font.size * LINE_SPACING;\n    var height, width;\n\n    if(mathjaxNode) {\n        var mathjaxBB = Drawing.bBox(mathjaxNode);\n\n        height = mathjaxBB.height;\n        width = mathjaxBB.width;\n\n        Drawing.setTranslate(mathjaxGroup, 0, (height / 4));\n    }\n    else {\n        var text = g.select('.legendtext');\n        var textLines = svgTextUtils.lineCount(text);\n        var textNode = text.node();\n\n        height = lineHeight * textLines;\n        width = textNode ? Drawing.bBox(textNode).width : 0;\n\n        // approximation to height offset to center the font\n        // to avoid getBoundingClientRect\n        var textY = lineHeight * (0.3 + (1 - textLines) / 2);\n        svgTextUtils.positionText(text, constants.textOffsetX, textY);\n    }\n\n    height = Math.max(height, 16) + 3;\n\n    legendItem.height = height;\n    legendItem.width = width;\n}\n\nfunction computeLegendDimensions(gd, groups, traces) {\n    var fullLayout = gd._fullLayout;\n    var opts = fullLayout.legend;\n    var borderwidth = opts.borderwidth;\n    var isGrouped = helpers.isGrouped(opts);\n\n    var extraWidth = 0;\n\n    opts._width = 0;\n    opts._height = 0;\n\n    if(helpers.isVertical(opts)) {\n        if(isGrouped) {\n            groups.each(function(d, i) {\n                Drawing.setTranslate(this, 0, i * opts.tracegroupgap);\n            });\n        }\n\n        traces.each(function(d) {\n            var legendItem = d[0],\n                textHeight = legendItem.height,\n                textWidth = legendItem.width;\n\n            Drawing.setTranslate(this,\n                borderwidth,\n                (5 + borderwidth + opts._height + textHeight / 2));\n\n            opts._height += textHeight;\n            opts._width = Math.max(opts._width, textWidth);\n        });\n\n        opts._width += 45 + borderwidth * 2;\n        opts._height += 10 + borderwidth * 2;\n\n        if(isGrouped) {\n            opts._height += (opts._lgroupsLength - 1) * opts.tracegroupgap;\n        }\n\n        extraWidth = 40;\n    }\n    else if(isGrouped) {\n        var groupXOffsets = [opts._width],\n            groupData = groups.data();\n\n        for(var i = 0, n = groupData.length; i < n; i++) {\n            var textWidths = groupData[i].map(function(legendItemArray) {\n                return legendItemArray[0].width;\n            });\n\n            var groupWidth = 40 + Math.max.apply(null, textWidths);\n\n            opts._width += opts.tracegroupgap + groupWidth;\n\n            groupXOffsets.push(opts._width);\n        }\n\n        groups.each(function(d, i) {\n            Drawing.setTranslate(this, groupXOffsets[i], 0);\n        });\n\n        groups.each(function() {\n            var group = d3.select(this),\n                groupTraces = group.selectAll('g.traces'),\n                groupHeight = 0;\n\n            groupTraces.each(function(d) {\n                var legendItem = d[0],\n                    textHeight = legendItem.height;\n\n                Drawing.setTranslate(this,\n                    0,\n                    (5 + borderwidth + groupHeight + textHeight / 2));\n\n                groupHeight += textHeight;\n            });\n\n            opts._height = Math.max(opts._height, groupHeight);\n        });\n\n        opts._height += 10 + borderwidth * 2;\n        opts._width += borderwidth * 2;\n    }\n    else {\n        var rowHeight = 0,\n            maxTraceHeight = 0,\n            maxTraceWidth = 0,\n            offsetX = 0,\n            fullTracesWidth = 0,\n            traceGap = opts.tracegroupgap || 5,\n            oneRowLegend;\n\n        // calculate largest width for traces and use for width of all legend items\n        traces.each(function(d) {\n            maxTraceWidth = Math.max(40 + d[0].width, maxTraceWidth);\n            fullTracesWidth += 40 + d[0].width + traceGap;\n        });\n\n        // check if legend fits in one row\n        oneRowLegend = fullLayout._size.w > borderwidth + fullTracesWidth - traceGap;\n        traces.each(function(d) {\n            var legendItem = d[0],\n                traceWidth = oneRowLegend ? 40 + d[0].width : maxTraceWidth;\n\n            if((borderwidth + offsetX + traceGap + traceWidth) > fullLayout._size.w) {\n                offsetX = 0;\n                rowHeight = rowHeight + maxTraceHeight;\n                opts._height = opts._height + maxTraceHeight;\n                // reset for next row\n                maxTraceHeight = 0;\n            }\n\n            Drawing.setTranslate(this,\n                (borderwidth + offsetX),\n                (5 + borderwidth + legendItem.height / 2) + rowHeight);\n\n            opts._width += traceGap + traceWidth;\n            opts._height = Math.max(opts._height, legendItem.height);\n\n            // keep track of tallest trace in group\n            offsetX += traceGap + traceWidth;\n            maxTraceHeight = Math.max(legendItem.height, maxTraceHeight);\n        });\n\n        opts._width += borderwidth * 2;\n        opts._height += 10 + borderwidth * 2;\n\n    }\n\n    // make sure we're only getting full pixels\n    opts._width = Math.ceil(opts._width);\n    opts._height = Math.ceil(opts._height);\n\n    var isEditable = (\n        gd._context.edits.legendText ||\n        gd._context.edits.legendPosition\n    );\n\n    traces.each(function(d) {\n        var legendItem = d[0];\n        var bg = d3.select(this).select('.legendtoggle');\n\n        Drawing.setRect(bg,\n            0,\n            -legendItem.height / 2,\n            (isEditable ? 0 : opts._width) + extraWidth,\n            legendItem.height\n        );\n    });\n}\n\nfunction expandMargin(gd) {\n    var fullLayout = gd._fullLayout,\n        opts = fullLayout.legend;\n\n    var xanchor = 'left';\n    if(anchorUtils.isRightAnchor(opts)) {\n        xanchor = 'right';\n    }\n    else if(anchorUtils.isCenterAnchor(opts)) {\n        xanchor = 'center';\n    }\n\n    var yanchor = 'top';\n    if(anchorUtils.isBottomAnchor(opts)) {\n        yanchor = 'bottom';\n    }\n    else if(anchorUtils.isMiddleAnchor(opts)) {\n        yanchor = 'middle';\n    }\n\n    // lastly check if the margin auto-expand has changed\n    Plots.autoMargin(gd, 'legend', {\n        x: opts.x,\n        y: opts.y,\n        l: opts._width * (FROM_TL[xanchor]),\n        r: opts._width * (FROM_BR[xanchor]),\n        b: opts._height * (FROM_BR[yanchor]),\n        t: opts._height * (FROM_TL[yanchor])\n    });\n}\n\nfunction expandHorizontalMargin(gd) {\n    var fullLayout = gd._fullLayout,\n        opts = fullLayout.legend;\n\n    var xanchor = 'left';\n    if(anchorUtils.isRightAnchor(opts)) {\n        xanchor = 'right';\n    }\n    else if(anchorUtils.isCenterAnchor(opts)) {\n        xanchor = 'center';\n    }\n\n    // lastly check if the margin auto-expand has changed\n    Plots.autoMargin(gd, 'legend', {\n        x: opts.x,\n        y: 0.5,\n        l: opts._width * (FROM_TL[xanchor]),\n        r: opts._width * (FROM_BR[xanchor]),\n        b: 0,\n        t: 0\n    });\n}\n\n},{\"../../constants/alignment\":668,\"../../constants/interactions\":672,\"../../lib\":696,\"../../lib/events\":684,\"../../lib/svg_text_utils\":721,\"../../plots/plots\":809,\"../../registry\":828,\"../color\":570,\"../dragelement\":592,\"../drawing\":595,\"./anchor_utils\":622,\"./constants\":624,\"./get_legend_data\":627,\"./handle_click\":628,\"./helpers\":629,\"./style\":631,\"d3\":148}],627:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar helpers = _dereq_('./helpers');\n\n\nmodule.exports = function getLegendData(calcdata, opts) {\n    var lgroupToTraces = {},\n        lgroups = [],\n        hasOneNonBlankGroup = false,\n        slicesShown = {},\n        lgroupi = 0;\n\n    var i, j;\n\n    function addOneItem(legendGroup, legendItem) {\n        // each '' legend group is treated as a separate group\n        if(legendGroup === '' || !helpers.isGrouped(opts)) {\n            var uniqueGroup = '~~i' + lgroupi; // TODO: check this against fullData legendgroups?\n\n            lgroups.push(uniqueGroup);\n            lgroupToTraces[uniqueGroup] = [[legendItem]];\n            lgroupi++;\n        }\n        else if(lgroups.indexOf(legendGroup) === -1) {\n            lgroups.push(legendGroup);\n            hasOneNonBlankGroup = true;\n            lgroupToTraces[legendGroup] = [[legendItem]];\n        }\n        else lgroupToTraces[legendGroup].push([legendItem]);\n    }\n\n    // build an { legendgroup: [cd0, cd0], ... } object\n    for(i = 0; i < calcdata.length; i++) {\n        var cd = calcdata[i];\n        var cd0 = cd[0];\n        var trace = cd0.trace;\n        var lgroup = trace.legendgroup;\n\n        if(!trace.visible || !trace.showlegend) continue;\n\n        if(Registry.traceIs(trace, 'pie')) {\n            if(!slicesShown[lgroup]) slicesShown[lgroup] = {};\n\n            for(j = 0; j < cd.length; j++) {\n                var labelj = cd[j].label;\n\n                if(!slicesShown[lgroup][labelj]) {\n                    addOneItem(lgroup, {\n                        label: labelj,\n                        color: cd[j].color,\n                        i: cd[j].i,\n                        trace: trace,\n                        pts: cd[j].pts\n                    });\n\n                    slicesShown[lgroup][labelj] = true;\n                }\n            }\n        }\n\n        else addOneItem(lgroup, cd0);\n    }\n\n    // won't draw a legend in this case\n    if(!lgroups.length) return [];\n\n    // rearrange lgroupToTraces into a d3-friendly array of arrays\n    var lgroupsLength = lgroups.length,\n        ltraces,\n        legendData;\n\n    if(hasOneNonBlankGroup && helpers.isGrouped(opts)) {\n        legendData = new Array(lgroupsLength);\n\n        for(i = 0; i < lgroupsLength; i++) {\n            ltraces = lgroupToTraces[lgroups[i]];\n            legendData[i] = helpers.isReversed(opts) ? ltraces.reverse() : ltraces;\n        }\n    }\n    else {\n        // collapse all groups into one if all groups are blank\n        legendData = [new Array(lgroupsLength)];\n\n        for(i = 0; i < lgroupsLength; i++) {\n            ltraces = lgroupToTraces[lgroups[i]][0];\n            legendData[0][helpers.isReversed(opts) ? lgroupsLength - i - 1 : i] = ltraces;\n        }\n        lgroupsLength = 1;\n    }\n\n    // needed in repositionLegend\n    opts._lgroupsLength = lgroupsLength;\n    return legendData;\n};\n\n},{\"../../registry\":828,\"./helpers\":629}],628:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Registry = _dereq_('../../registry');\n\nvar SHOWISOLATETIP = true;\n\nmodule.exports = function handleClick(g, gd, numClicks) {\n    if(gd._dragged || gd._editing) return;\n\n    var hiddenSlices = gd._fullLayout.hiddenlabels ?\n        gd._fullLayout.hiddenlabels.slice() :\n        [];\n\n    var legendItem = g.data()[0][0];\n    var fullData = gd._fullData;\n    var fullTrace = legendItem.trace;\n    var legendgroup = fullTrace.legendgroup;\n\n    var i, j, kcont, key, keys, val;\n    var attrUpdate = {};\n    var attrIndices = [];\n    var carrs = [];\n    var carrIdx = [];\n\n    function insertUpdate(traceIndex, key, value) {\n        var attrIndex = attrIndices.indexOf(traceIndex);\n        var valueArray = attrUpdate[key];\n        if(!valueArray) {\n            valueArray = attrUpdate[key] = [];\n        }\n\n        if(attrIndices.indexOf(traceIndex) === -1) {\n            attrIndices.push(traceIndex);\n            attrIndex = attrIndices.length - 1;\n        }\n\n        valueArray[attrIndex] = value;\n\n        return attrIndex;\n    }\n\n    function setVisibility(fullTrace, visibility) {\n        var fullInput = fullTrace._fullInput;\n        if(Registry.hasTransform(fullInput, 'groupby')) {\n            var kcont = carrs[fullInput.index];\n            if(!kcont) {\n                var groupbyIndices = Registry.getTransformIndices(fullInput, 'groupby');\n                var lastGroupbyIndex = groupbyIndices[groupbyIndices.length - 1];\n                kcont = Lib.keyedContainer(fullInput, 'transforms[' + lastGroupbyIndex + '].styles', 'target', 'value.visible');\n                carrs[fullInput.index] = kcont;\n            }\n\n            var curState = kcont.get(fullTrace._group);\n\n            // If not specified, assume visible. This happens if there are other style\n            // properties set for a group but not the visibility. There are many similar\n            // ways to do this (e.g. why not just `curState = fullTrace.visible`??? The\n            // answer is: because it breaks other things like groupby trace names in\n            // subtle ways.)\n            if(curState === undefined) {\n                curState = true;\n            }\n\n            if(curState !== false) {\n                // true -> legendonly. All others toggle to true:\n                kcont.set(fullTrace._group, visibility);\n            }\n            carrIdx[fullInput.index] = insertUpdate(fullInput.index, 'visible', fullInput.visible === false ? false : true);\n        } else {\n            // false -> false (not possible since will not be visible in legend)\n            // true -> legendonly\n            // legendonly -> true\n            var nextVisibility = fullInput.visible === false ? false : visibility;\n\n            insertUpdate(fullInput.index, 'visible', nextVisibility);\n        }\n    }\n\n    if(numClicks === 1 && SHOWISOLATETIP && gd.data && gd._context.showTips) {\n        Lib.notifier(Lib._(gd, 'Double-click on legend to isolate one trace'), 'long');\n        SHOWISOLATETIP = false;\n    } else {\n        SHOWISOLATETIP = false;\n    }\n\n    if(Registry.traceIs(fullTrace, 'pie')) {\n        var thisLabel = legendItem.label,\n            thisLabelIndex = hiddenSlices.indexOf(thisLabel);\n\n        if(numClicks === 1) {\n            if(thisLabelIndex === -1) hiddenSlices.push(thisLabel);\n            else hiddenSlices.splice(thisLabelIndex, 1);\n        } else if(numClicks === 2) {\n            hiddenSlices = [];\n            gd.calcdata[0].forEach(function(d) {\n                if(thisLabel !== d.label) {\n                    hiddenSlices.push(d.label);\n                }\n            });\n            if(gd._fullLayout.hiddenlabels && gd._fullLayout.hiddenlabels.length === hiddenSlices.length && thisLabelIndex === -1) {\n                hiddenSlices = [];\n            }\n        }\n\n        Registry.call('relayout', gd, 'hiddenlabels', hiddenSlices);\n    } else {\n        var hasLegendgroup = legendgroup && legendgroup.length;\n        var traceIndicesInGroup = [];\n        var tracei;\n        if(hasLegendgroup) {\n            for(i = 0; i < fullData.length; i++) {\n                tracei = fullData[i];\n                if(!tracei.visible) continue;\n                if(tracei.legendgroup === legendgroup) {\n                    traceIndicesInGroup.push(i);\n                }\n            }\n        }\n\n        if(numClicks === 1) {\n            var nextVisibility;\n\n            switch(fullTrace.visible) {\n                case true:\n                    nextVisibility = 'legendonly';\n                    break;\n                case false:\n                    nextVisibility = false;\n                    break;\n                case 'legendonly':\n                    nextVisibility = true;\n                    break;\n            }\n\n            if(hasLegendgroup) {\n                for(i = 0; i < fullData.length; i++) {\n                    if(fullData[i].visible !== false && fullData[i].legendgroup === legendgroup) {\n                        setVisibility(fullData[i], nextVisibility);\n                    }\n                }\n            } else {\n                setVisibility(fullTrace, nextVisibility);\n            }\n        } else if(numClicks === 2) {\n            // Compute the clicked index. expandedIndex does what we want for expanded traces\n            // but also culls hidden traces. That means we have some work to do.\n            var isClicked, isInGroup, otherState;\n            var isIsolated = true;\n            for(i = 0; i < fullData.length; i++) {\n                isClicked = fullData[i] === fullTrace;\n                if(isClicked) continue;\n\n                isInGroup = (hasLegendgroup && fullData[i].legendgroup === legendgroup);\n\n                if(!isInGroup && fullData[i].visible === true && !Registry.traceIs(fullData[i], 'notLegendIsolatable')) {\n                    isIsolated = false;\n                    break;\n                }\n            }\n\n            for(i = 0; i < fullData.length; i++) {\n                // False is sticky; we don't change it.\n                if(fullData[i].visible === false) continue;\n\n                if(Registry.traceIs(fullData[i], 'notLegendIsolatable')) {\n                    continue;\n                }\n\n                switch(fullTrace.visible) {\n                    case 'legendonly':\n                        setVisibility(fullData[i], true);\n                        break;\n                    case true:\n                        otherState = isIsolated ? true : 'legendonly';\n                        isClicked = fullData[i] === fullTrace;\n                        isInGroup = isClicked || (hasLegendgroup && fullData[i].legendgroup === legendgroup);\n                        setVisibility(fullData[i], isInGroup ? true : otherState);\n                        break;\n                }\n            }\n        }\n\n        for(i = 0; i < carrs.length; i++) {\n            kcont = carrs[i];\n            if(!kcont) continue;\n            var update = kcont.constructUpdate();\n\n            var updateKeys = Object.keys(update);\n            for(j = 0; j < updateKeys.length; j++) {\n                key = updateKeys[j];\n                val = attrUpdate[key] = attrUpdate[key] || [];\n                val[carrIdx[i]] = update[key];\n            }\n        }\n\n        // The length of the value arrays should be equal and any unspecified\n        // values should be explicitly undefined for them to get properly culled\n        // as updates and not accidentally reset to the default value. This fills\n        // out sparse arrays with the required number of undefined values:\n        keys = Object.keys(attrUpdate);\n        for(i = 0; i < keys.length; i++) {\n            key = keys[i];\n            for(j = 0; j < attrIndices.length; j++) {\n                // Use hasOwnPropety to protect against falsey values:\n                if(!attrUpdate[key].hasOwnProperty(j)) {\n                    attrUpdate[key][j] = undefined;\n                }\n            }\n        }\n\n        Registry.call('restyle', gd, attrUpdate, attrIndices);\n    }\n};\n\n},{\"../../lib\":696,\"../../registry\":828}],629:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nexports.isGrouped = function isGrouped(legendLayout) {\n    return (legendLayout.traceorder || '').indexOf('grouped') !== -1;\n};\n\nexports.isVertical = function isVertical(legendLayout) {\n    return legendLayout.orientation !== 'h';\n};\n\nexports.isReversed = function isReversed(legendLayout) {\n    return (legendLayout.traceorder || '').indexOf('reversed') !== -1;\n};\n\n},{}],630:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'legend',\n\n    layoutAttributes: _dereq_('./attributes'),\n    supplyLayoutDefaults: _dereq_('./defaults'),\n\n    draw: _dereq_('./draw'),\n    style: _dereq_('./style')\n};\n\n},{\"./attributes\":623,\"./defaults\":625,\"./draw\":626,\"./style\":631}],631:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Drawing = _dereq_('../drawing');\nvar Color = _dereq_('../color');\n\nvar subTypes = _dereq_('../../traces/scatter/subtypes');\nvar stylePie = _dereq_('../../traces/pie/style_one');\n\nmodule.exports = function style(s, gd) {\n    s.each(function(d) {\n        var traceGroup = d3.select(this);\n\n        var layers = Lib.ensureSingle(traceGroup, 'g', 'layers');\n        layers.style('opacity', d[0].trace.opacity);\n\n        var fill = layers\n            .selectAll('g.legendfill')\n                .data([d]);\n        fill.enter().append('g')\n            .classed('legendfill', true);\n\n        var line = layers\n            .selectAll('g.legendlines')\n                .data([d]);\n        line.enter().append('g')\n            .classed('legendlines', true);\n\n        var symbol = layers\n            .selectAll('g.legendsymbols')\n                .data([d]);\n        symbol.enter().append('g')\n            .classed('legendsymbols', true);\n\n        symbol.selectAll('g.legendpoints')\n            .data([d])\n          .enter().append('g')\n            .classed('legendpoints', true);\n    })\n    .each(styleBars)\n    .each(styleBoxes)\n    .each(stylePies)\n    .each(styleLines)\n    .each(stylePoints)\n    .each(styleCandles)\n    .each(styleOHLC);\n\n    function styleLines(d) {\n        var trace = d[0].trace;\n        var showFill = trace.visible && trace.fill && trace.fill !== 'none';\n        var showLine = subTypes.hasLines(trace);\n        var contours = trace.contours;\n        var showGradientLine = false;\n        var showGradientFill = false;\n\n        if(contours) {\n            var coloring = contours.coloring;\n\n            if(coloring === 'lines') {\n                showGradientLine = true;\n            }\n            else {\n                showLine = coloring === 'none' || coloring === 'heatmap' ||\n                    contours.showlines;\n            }\n\n            if(contours.type === 'constraint') {\n                showFill = contours._operation !== '=';\n            }\n            else if(coloring === 'fill' || coloring === 'heatmap') {\n                showGradientFill = true;\n            }\n        }\n\n        // with fill and no markers or text, move the line and fill up a bit\n        // so it's more centered\n        var markersOrText = subTypes.hasMarkers(trace) || subTypes.hasText(trace);\n        var anyFill = showFill || showGradientFill;\n        var anyLine = showLine || showGradientLine;\n        var pathStart = (markersOrText || !anyFill) ? 'M5,0' :\n            // with a line leave it slightly below center, to leave room for the\n            // line thickness and because the line is usually more prominent\n            anyLine ? 'M5,-2' : 'M5,-3';\n\n        var this3 = d3.select(this);\n\n        var fill = this3.select('.legendfill').selectAll('path')\n            .data(showFill || showGradientFill ? [d] : []);\n        fill.enter().append('path').classed('js-fill', true);\n        fill.exit().remove();\n        fill.attr('d', pathStart + 'h30v6h-30z')\n            .call(showFill ? Drawing.fillGroupStyle : fillGradient);\n\n        var line = this3.select('.legendlines').selectAll('path')\n            .data(showLine || showGradientLine ? [d] : []);\n        line.enter().append('path').classed('js-line', true);\n        line.exit().remove();\n\n        // this is ugly... but you can't apply a gradient to a perfectly\n        // horizontal or vertical line. Presumably because then\n        // the system doesn't know how to scale vertical variation, even\n        // though there *is* no vertical variation in this case.\n        // so add an invisibly small angle to the line\n        // This issue (and workaround) exist across (Mac) Chrome, FF, and Safari\n        line.attr('d', pathStart + (showGradientLine ? 'l30,0.0001' : 'h30'))\n            .call(showLine ? Drawing.lineGroupStyle : lineGradient);\n\n        function fillGradient(s) {\n            if(s.size()) {\n                var gradientID = 'legendfill-' + trace.uid;\n                Drawing.gradient(s, gd, gradientID, 'horizontalreversed',\n                    trace.colorscale, 'fill');\n            }\n        }\n\n        function lineGradient(s) {\n            if(s.size()) {\n                var gradientID = 'legendline-' + trace.uid;\n                Drawing.lineGroupStyle(s);\n                Drawing.gradient(s, gd, gradientID, 'horizontalreversed',\n                    trace.colorscale, 'stroke');\n            }\n        }\n\n    }\n\n    function stylePoints(d) {\n        var d0 = d[0];\n        var trace = d0.trace;\n        var showMarkers = subTypes.hasMarkers(trace);\n        var showText = subTypes.hasText(trace);\n        var showLines = subTypes.hasLines(trace);\n        var dMod, tMod;\n\n        // 'scatter3d' don't use gd.calcdata,\n        // use d0.trace to infer arrayOk attributes\n\n        function boundVal(attrIn, arrayToValFn, bounds) {\n            var valIn = Lib.nestedProperty(trace, attrIn).get();\n            var valToBound = (Array.isArray(valIn) && arrayToValFn) ?\n                arrayToValFn(valIn) :\n                valIn;\n\n            if(bounds) {\n                if(valToBound < bounds[0]) return bounds[0];\n                else if(valToBound > bounds[1]) return bounds[1];\n            }\n            return valToBound;\n        }\n\n        function pickFirst(array) { return array[0]; }\n\n        // constrain text, markers, etc so they'll fit on the legend\n        if(showMarkers || showText || showLines) {\n            var dEdit = {};\n            var tEdit = {};\n\n            if(showMarkers) {\n                dEdit.mc = boundVal('marker.color', pickFirst);\n                dEdit.mx = boundVal('marker.symbol', pickFirst);\n                dEdit.mo = boundVal('marker.opacity', Lib.mean, [0.2, 1]);\n                dEdit.mlc = boundVal('marker.line.color', pickFirst);\n                dEdit.mlw = boundVal('marker.line.width', Lib.mean, [0, 5]);\n                tEdit.marker = {\n                    sizeref: 1,\n                    sizemin: 1,\n                    sizemode: 'diameter'\n                };\n\n                var ms = boundVal('marker.size', Lib.mean, [2, 16]);\n                dEdit.ms = ms;\n                tEdit.marker.size = ms;\n            }\n\n            if(showLines) {\n                tEdit.line = {\n                    width: boundVal('line.width', pickFirst, [0, 10])\n                };\n            }\n\n            if(showText) {\n                dEdit.tx = 'Aa';\n                dEdit.tp = boundVal('textposition', pickFirst);\n                dEdit.ts = 10;\n                dEdit.tc = boundVal('textfont.color', pickFirst);\n                dEdit.tf = boundVal('textfont.family', pickFirst);\n            }\n\n            dMod = [Lib.minExtend(d0, dEdit)];\n            tMod = Lib.minExtend(trace, tEdit);\n\n            // always show legend items in base state\n            tMod.selectedpoints = null;\n        }\n\n        var ptgroup = d3.select(this).select('g.legendpoints');\n\n        var pts = ptgroup.selectAll('path.scatterpts')\n            .data(showMarkers ? dMod : []);\n        // make sure marker is on the bottom, in case it enters after text\n        pts.enter().insert('path', ':first-child')\n            .classed('scatterpts', true)\n            .attr('transform', 'translate(20,0)');\n        pts.exit().remove();\n        pts.call(Drawing.pointStyle, tMod, gd);\n\n        // 'mrc' is set in pointStyle and used in textPointStyle:\n        // constrain it here\n        if(showMarkers) dMod[0].mrc = 3;\n\n        var txt = ptgroup.selectAll('g.pointtext')\n            .data(showText ? dMod : []);\n        txt.enter()\n            .append('g').classed('pointtext', true)\n                .append('text').attr('transform', 'translate(20,0)');\n        txt.exit().remove();\n        txt.selectAll('text').call(Drawing.textPointStyle, tMod, gd);\n    }\n\n    function styleBars(d) {\n        var trace = d[0].trace,\n            marker = trace.marker || {},\n            markerLine = marker.line || {},\n            barpath = d3.select(this).select('g.legendpoints')\n                .selectAll('path.legendbar')\n                .data(Registry.traceIs(trace, 'bar') ? [d] : []);\n        barpath.enter().append('path').classed('legendbar', true)\n            .attr('d', 'M6,6H-6V-6H6Z')\n            .attr('transform', 'translate(20,0)');\n        barpath.exit().remove();\n        barpath.each(function(d) {\n            var p = d3.select(this),\n                d0 = d[0],\n                w = (d0.mlw + 1 || markerLine.width + 1) - 1;\n\n            p.style('stroke-width', w + 'px')\n                .call(Color.fill, d0.mc || marker.color);\n\n            if(w) {\n                p.call(Color.stroke, d0.mlc || markerLine.color);\n            }\n        });\n    }\n\n    function styleBoxes(d) {\n        var trace = d[0].trace,\n            pts = d3.select(this).select('g.legendpoints')\n                .selectAll('path.legendbox')\n                .data(Registry.traceIs(trace, 'box-violin') && trace.visible ? [d] : []);\n        pts.enter().append('path').classed('legendbox', true)\n            // if we want the median bar, prepend M6,0H-6\n            .attr('d', 'M6,6H-6V-6H6Z')\n            .attr('transform', 'translate(20,0)');\n        pts.exit().remove();\n        pts.each(function() {\n            var w = trace.line.width,\n                p = d3.select(this);\n\n            p.style('stroke-width', w + 'px')\n                .call(Color.fill, trace.fillcolor);\n\n            if(w) {\n                Color.stroke(p, trace.line.color);\n            }\n        });\n    }\n\n    function styleCandles(d) {\n        var trace = d[0].trace,\n            pts = d3.select(this).select('g.legendpoints')\n                .selectAll('path.legendcandle')\n                .data(trace.type === 'candlestick' && trace.visible ? [d, d] : []);\n        pts.enter().append('path').classed('legendcandle', true)\n            .attr('d', function(_, i) {\n                if(i) return 'M-15,0H-8M-8,6V-6H8Z'; // increasing\n                return 'M15,0H8M8,-6V6H-8Z'; // decreasing\n            })\n            .attr('transform', 'translate(20,0)')\n            .style('stroke-miterlimit', 1);\n        pts.exit().remove();\n        pts.each(function(_, i) {\n            var container = trace[i ? 'increasing' : 'decreasing'];\n            var w = container.line.width,\n                p = d3.select(this);\n\n            p.style('stroke-width', w + 'px')\n                .call(Color.fill, container.fillcolor);\n\n            if(w) {\n                Color.stroke(p, container.line.color);\n            }\n        });\n    }\n\n    function styleOHLC(d) {\n        var trace = d[0].trace,\n            pts = d3.select(this).select('g.legendpoints')\n                .selectAll('path.legendohlc')\n                .data(trace.type === 'ohlc' && trace.visible ? [d, d] : []);\n        pts.enter().append('path').classed('legendohlc', true)\n            .attr('d', function(_, i) {\n                if(i) return 'M-15,0H0M-8,-6V0'; // increasing\n                return 'M15,0H0M8,6V0'; // decreasing\n            })\n            .attr('transform', 'translate(20,0)')\n            .style('stroke-miterlimit', 1);\n        pts.exit().remove();\n        pts.each(function(_, i) {\n            var container = trace[i ? 'increasing' : 'decreasing'];\n            var w = container.line.width,\n                p = d3.select(this);\n\n            p.style('fill', 'none')\n                .call(Drawing.dashLine, container.line.dash, w);\n\n            if(w) {\n                Color.stroke(p, container.line.color);\n            }\n        });\n    }\n\n    function stylePies(d) {\n        var trace = d[0].trace,\n            pts = d3.select(this).select('g.legendpoints')\n                .selectAll('path.legendpie')\n                .data(Registry.traceIs(trace, 'pie') && trace.visible ? [d] : []);\n        pts.enter().append('path').classed('legendpie', true)\n            .attr('d', 'M6,6H-6V-6H6Z')\n            .attr('transform', 'translate(20,0)');\n        pts.exit().remove();\n\n        if(pts.size()) pts.call(stylePie, d[0], trace);\n    }\n};\n\n},{\"../../lib\":696,\"../../registry\":828,\"../../traces/pie/style_one\":1030,\"../../traces/scatter/subtypes\":1068,\"../color\":570,\"../drawing\":595,\"d3\":148}],632:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Plots = _dereq_('../../plots/plots');\nvar axisIds = _dereq_('../../plots/cartesian/axis_ids');\nvar Lib = _dereq_('../../lib');\nvar Icons = _dereq_('../../../build/ploticon');\n\nvar _ = Lib._;\n\nvar modeBarButtons = module.exports = {};\n\n/**\n * ModeBar buttons configuration\n *\n * @param {string} name\n *      name / id of the buttons (for tracking)\n * @param {string} title\n *      text that appears while hovering over the button,\n *      enter null, false or '' for no hover text\n * @param {string} icon\n *      svg icon object associated with the button\n *      can be linked to Plotly.Icons to use the default plotly icons\n * @param {string} [gravity]\n *      icon positioning\n * @param {function} click\n *      click handler associated with the button, a function of\n *      'gd' (the main graph object) and\n *      'ev' (the event object)\n * @param {string} [attr]\n *      attribute associated with button,\n *      use this with 'val' to keep track of the state\n * @param {*} [val]\n *      initial 'attr' value, can be a function of gd\n * @param {boolean} [toggle]\n *      is the button a toggle button?\n */\n\nmodeBarButtons.toImage = {\n    name: 'toImage',\n    title: function(gd) {\n        var opts = gd._context.toImageButtonOptions || {};\n        var format = opts.format || 'png';\n        return format === 'png' ?\n            _(gd, 'Download plot as a png') : // legacy text\n            _(gd, 'Download plot'); // generic non-PNG text\n    },\n    icon: Icons.camera,\n    click: function(gd) {\n        var toImageButtonOptions = gd._context.toImageButtonOptions;\n        var opts = {format: toImageButtonOptions.format || 'png'};\n\n        Lib.notifier(_(gd, 'Taking snapshot - this may take a few seconds'), 'long');\n\n        if(opts.format !== 'svg' && Lib.isIE()) {\n            Lib.notifier(_(gd, 'IE only supports svg.  Changing format to svg.'), 'long');\n            opts.format = 'svg';\n        }\n\n        ['filename', 'width', 'height', 'scale'].forEach(function(key) {\n            if(toImageButtonOptions[key]) {\n                opts[key] = toImageButtonOptions[key];\n            }\n        });\n\n        Registry.call('downloadImage', gd, opts)\n          .then(function(filename) {\n              Lib.notifier(_(gd, 'Snapshot succeeded') + ' - ' + filename, 'long');\n          })\n          .catch(function() {\n              Lib.notifier(_(gd, 'Sorry, there was a problem downloading your snapshot!'), 'long');\n          });\n    }\n};\n\nmodeBarButtons.sendDataToCloud = {\n    name: 'sendDataToCloud',\n    title: function(gd) { return _(gd, 'Edit in Chart Studio'); },\n    icon: Icons.disk,\n    click: function(gd) {\n        Plots.sendDataToCloud(gd);\n    }\n};\n\nmodeBarButtons.zoom2d = {\n    name: 'zoom2d',\n    title: function(gd) { return _(gd, 'Zoom'); },\n    attr: 'dragmode',\n    val: 'zoom',\n    icon: Icons.zoombox,\n    click: handleCartesian\n};\n\nmodeBarButtons.pan2d = {\n    name: 'pan2d',\n    title: function(gd) { return _(gd, 'Pan'); },\n    attr: 'dragmode',\n    val: 'pan',\n    icon: Icons.pan,\n    click: handleCartesian\n};\n\nmodeBarButtons.select2d = {\n    name: 'select2d',\n    title: function(gd) { return _(gd, 'Box Select'); },\n    attr: 'dragmode',\n    val: 'select',\n    icon: Icons.selectbox,\n    click: handleCartesian\n};\n\nmodeBarButtons.lasso2d = {\n    name: 'lasso2d',\n    title: function(gd) { return _(gd, 'Lasso Select'); },\n    attr: 'dragmode',\n    val: 'lasso',\n    icon: Icons.lasso,\n    click: handleCartesian\n};\n\nmodeBarButtons.zoomIn2d = {\n    name: 'zoomIn2d',\n    title: function(gd) { return _(gd, 'Zoom in'); },\n    attr: 'zoom',\n    val: 'in',\n    icon: Icons.zoom_plus,\n    click: handleCartesian\n};\n\nmodeBarButtons.zoomOut2d = {\n    name: 'zoomOut2d',\n    title: function(gd) { return _(gd, 'Zoom out'); },\n    attr: 'zoom',\n    val: 'out',\n    icon: Icons.zoom_minus,\n    click: handleCartesian\n};\n\nmodeBarButtons.autoScale2d = {\n    name: 'autoScale2d',\n    title: function(gd) { return _(gd, 'Autoscale'); },\n    attr: 'zoom',\n    val: 'auto',\n    icon: Icons.autoscale,\n    click: handleCartesian\n};\n\nmodeBarButtons.resetScale2d = {\n    name: 'resetScale2d',\n    title: function(gd) { return _(gd, 'Reset axes'); },\n    attr: 'zoom',\n    val: 'reset',\n    icon: Icons.home,\n    click: handleCartesian\n};\n\nmodeBarButtons.hoverClosestCartesian = {\n    name: 'hoverClosestCartesian',\n    title: function(gd) { return _(gd, 'Show closest data on hover'); },\n    attr: 'hovermode',\n    val: 'closest',\n    icon: Icons.tooltip_basic,\n    gravity: 'ne',\n    click: handleCartesian\n};\n\nmodeBarButtons.hoverCompareCartesian = {\n    name: 'hoverCompareCartesian',\n    title: function(gd) { return _(gd, 'Compare data on hover'); },\n    attr: 'hovermode',\n    val: function(gd) {\n        return gd._fullLayout._isHoriz ? 'y' : 'x';\n    },\n    icon: Icons.tooltip_compare,\n    gravity: 'ne',\n    click: handleCartesian\n};\n\nfunction handleCartesian(gd, ev) {\n    var button = ev.currentTarget;\n    var astr = button.getAttribute('data-attr');\n    var val = button.getAttribute('data-val') || true;\n    var fullLayout = gd._fullLayout;\n    var aobj = {};\n    var axList = axisIds.list(gd, null, true);\n    var allSpikesEnabled = 'on';\n\n    var ax, i;\n\n    if(astr === 'zoom') {\n        var mag = (val === 'in') ? 0.5 : 2,\n            r0 = (1 + mag) / 2,\n            r1 = (1 - mag) / 2;\n\n        var axName;\n\n        for(i = 0; i < axList.length; i++) {\n            ax = axList[i];\n\n            if(!ax.fixedrange) {\n                axName = ax._name;\n                if(val === 'auto') aobj[axName + '.autorange'] = true;\n                else if(val === 'reset') {\n                    if(ax._rangeInitial === undefined) {\n                        aobj[axName + '.autorange'] = true;\n                    }\n                    else {\n                        var rangeInitial = ax._rangeInitial.slice();\n                        aobj[axName + '.range[0]'] = rangeInitial[0];\n                        aobj[axName + '.range[1]'] = rangeInitial[1];\n                    }\n                    if(ax._showSpikeInitial !== undefined) {\n                        aobj[axName + '.showspikes'] = ax._showSpikeInitial;\n                        if(allSpikesEnabled === 'on' && !ax._showSpikeInitial) {\n                            allSpikesEnabled = 'off';\n                        }\n                    }\n                }\n                else {\n                    var rangeNow = [\n                        ax.r2l(ax.range[0]),\n                        ax.r2l(ax.range[1]),\n                    ];\n\n                    var rangeNew = [\n                        r0 * rangeNow[0] + r1 * rangeNow[1],\n                        r0 * rangeNow[1] + r1 * rangeNow[0]\n                    ];\n\n                    aobj[axName + '.range[0]'] = ax.l2r(rangeNew[0]);\n                    aobj[axName + '.range[1]'] = ax.l2r(rangeNew[1]);\n                }\n            }\n        }\n        fullLayout._cartesianSpikesEnabled = allSpikesEnabled;\n    }\n    else {\n        // if ALL traces have orientation 'h', 'hovermode': 'x' otherwise: 'y'\n        if(astr === 'hovermode' && (val === 'x' || val === 'y')) {\n            val = fullLayout._isHoriz ? 'y' : 'x';\n            button.setAttribute('data-val', val);\n        } else if(astr === 'hovermode' && val === 'closest') {\n            for(i = 0; i < axList.length; i++) {\n                ax = axList[i];\n                if(allSpikesEnabled === 'on' && !ax.showspikes) {\n                    allSpikesEnabled = 'off';\n                }\n            }\n            fullLayout._cartesianSpikesEnabled = allSpikesEnabled;\n        }\n\n        aobj[astr] = val;\n    }\n\n    Registry.call('relayout', gd, aobj);\n}\n\nmodeBarButtons.zoom3d = {\n    name: 'zoom3d',\n    title: function(gd) { return _(gd, 'Zoom'); },\n    attr: 'scene.dragmode',\n    val: 'zoom',\n    icon: Icons.zoombox,\n    click: handleDrag3d\n};\n\nmodeBarButtons.pan3d = {\n    name: 'pan3d',\n    title: function(gd) { return _(gd, 'Pan'); },\n    attr: 'scene.dragmode',\n    val: 'pan',\n    icon: Icons.pan,\n    click: handleDrag3d\n};\n\nmodeBarButtons.orbitRotation = {\n    name: 'orbitRotation',\n    title: function(gd) { return _(gd, 'Orbital rotation'); },\n    attr: 'scene.dragmode',\n    val: 'orbit',\n    icon: Icons['3d_rotate'],\n    click: handleDrag3d\n};\n\nmodeBarButtons.tableRotation = {\n    name: 'tableRotation',\n    title: function(gd) { return _(gd, 'Turntable rotation'); },\n    attr: 'scene.dragmode',\n    val: 'turntable',\n    icon: Icons['z-axis'],\n    click: handleDrag3d\n};\n\nfunction handleDrag3d(gd, ev) {\n    var button = ev.currentTarget;\n    var attr = button.getAttribute('data-attr');\n    var val = button.getAttribute('data-val') || true;\n    var sceneIds = gd._fullLayout._subplots.gl3d;\n    var layoutUpdate = {};\n\n    var parts = attr.split('.');\n\n    for(var i = 0; i < sceneIds.length; i++) {\n        layoutUpdate[sceneIds[i] + '.' + parts[1]] = val;\n    }\n\n    // for multi-type subplots\n    var val2d = (val === 'pan') ? val : 'zoom';\n    layoutUpdate.dragmode = val2d;\n\n    Registry.call('relayout', gd, layoutUpdate);\n}\n\nmodeBarButtons.resetCameraDefault3d = {\n    name: 'resetCameraDefault3d',\n    title: function(gd) { return _(gd, 'Reset camera to default'); },\n    attr: 'resetDefault',\n    icon: Icons.home,\n    click: handleCamera3d\n};\n\nmodeBarButtons.resetCameraLastSave3d = {\n    name: 'resetCameraLastSave3d',\n    title: function(gd) { return _(gd, 'Reset camera to last save'); },\n    attr: 'resetLastSave',\n    icon: Icons.movie,\n    click: handleCamera3d\n};\n\nfunction handleCamera3d(gd, ev) {\n    var button = ev.currentTarget;\n    var attr = button.getAttribute('data-attr');\n    var fullLayout = gd._fullLayout;\n    var sceneIds = fullLayout._subplots.gl3d;\n    var aobj = {};\n\n    for(var i = 0; i < sceneIds.length; i++) {\n        var sceneId = sceneIds[i],\n            key = sceneId + '.camera',\n            scene = fullLayout[sceneId]._scene;\n\n        if(attr === 'resetDefault') {\n            aobj[key] = null;\n        }\n        else if(attr === 'resetLastSave') {\n            aobj[key] = Lib.extendDeep({}, scene.cameraInitial);\n        }\n    }\n\n    Registry.call('relayout', gd, aobj);\n}\n\nmodeBarButtons.hoverClosest3d = {\n    name: 'hoverClosest3d',\n    title: function(gd) { return _(gd, 'Toggle show closest data on hover'); },\n    attr: 'hovermode',\n    val: null,\n    toggle: true,\n    icon: Icons.tooltip_basic,\n    gravity: 'ne',\n    click: handleHover3d\n};\n\nfunction handleHover3d(gd, ev) {\n    var button = ev.currentTarget;\n    var val = button._previousVal || false;\n    var layout = gd.layout;\n    var fullLayout = gd._fullLayout;\n    var sceneIds = fullLayout._subplots.gl3d;\n\n    var axes = ['xaxis', 'yaxis', 'zaxis'];\n    var spikeAttrs = ['showspikes', 'spikesides', 'spikethickness', 'spikecolor'];\n\n    // initialize 'current spike' object to be stored in the DOM\n    var currentSpikes = {};\n    var axisSpikes = {};\n    var layoutUpdate = {};\n\n    if(val) {\n        layoutUpdate = Lib.extendDeep(layout, val);\n        button._previousVal = null;\n    }\n    else {\n        layoutUpdate = {\n            'allaxes.showspikes': false\n        };\n\n        for(var i = 0; i < sceneIds.length; i++) {\n            var sceneId = sceneIds[i],\n                sceneLayout = fullLayout[sceneId],\n                sceneSpikes = currentSpikes[sceneId] = {};\n\n            sceneSpikes.hovermode = sceneLayout.hovermode;\n            layoutUpdate[sceneId + '.hovermode'] = false;\n\n            // copy all the current spike attrs\n            for(var j = 0; j < 3; j++) {\n                var axis = axes[j];\n                axisSpikes = sceneSpikes[axis] = {};\n\n                for(var k = 0; k < spikeAttrs.length; k++) {\n                    var spikeAttr = spikeAttrs[k];\n                    axisSpikes[spikeAttr] = sceneLayout[axis][spikeAttr];\n                }\n            }\n        }\n\n        button._previousVal = Lib.extendDeep({}, currentSpikes);\n    }\n\n    Registry.call('relayout', gd, layoutUpdate);\n}\n\nmodeBarButtons.zoomInGeo = {\n    name: 'zoomInGeo',\n    title: function(gd) { return _(gd, 'Zoom in'); },\n    attr: 'zoom',\n    val: 'in',\n    icon: Icons.zoom_plus,\n    click: handleGeo\n};\n\nmodeBarButtons.zoomOutGeo = {\n    name: 'zoomOutGeo',\n    title: function(gd) { return _(gd, 'Zoom out'); },\n    attr: 'zoom',\n    val: 'out',\n    icon: Icons.zoom_minus,\n    click: handleGeo\n};\n\nmodeBarButtons.resetGeo = {\n    name: 'resetGeo',\n    title: function(gd) { return _(gd, 'Reset'); },\n    attr: 'reset',\n    val: null,\n    icon: Icons.autoscale,\n    click: handleGeo\n};\n\nmodeBarButtons.hoverClosestGeo = {\n    name: 'hoverClosestGeo',\n    title: function(gd) { return _(gd, 'Toggle show closest data on hover'); },\n    attr: 'hovermode',\n    val: null,\n    toggle: true,\n    icon: Icons.tooltip_basic,\n    gravity: 'ne',\n    click: toggleHover\n};\n\nfunction handleGeo(gd, ev) {\n    var button = ev.currentTarget;\n    var attr = button.getAttribute('data-attr');\n    var val = button.getAttribute('data-val') || true;\n    var fullLayout = gd._fullLayout;\n    var geoIds = fullLayout._subplots.geo;\n\n    for(var i = 0; i < geoIds.length; i++) {\n        var id = geoIds[i];\n        var geoLayout = fullLayout[id];\n\n        if(attr === 'zoom') {\n            var scale = geoLayout.projection.scale;\n            var newScale = (val === 'in') ? 2 * scale : 0.5 * scale;\n\n            Registry.call('relayout', gd, id + '.projection.scale', newScale);\n        } else if(attr === 'reset') {\n            resetView(gd, 'geo');\n        }\n    }\n}\n\nmodeBarButtons.hoverClosestGl2d = {\n    name: 'hoverClosestGl2d',\n    title: function(gd) { return _(gd, 'Toggle show closest data on hover'); },\n    attr: 'hovermode',\n    val: null,\n    toggle: true,\n    icon: Icons.tooltip_basic,\n    gravity: 'ne',\n    click: toggleHover\n};\n\nmodeBarButtons.hoverClosestPie = {\n    name: 'hoverClosestPie',\n    title: function(gd) { return _(gd, 'Toggle show closest data on hover'); },\n    attr: 'hovermode',\n    val: 'closest',\n    icon: Icons.tooltip_basic,\n    gravity: 'ne',\n    click: toggleHover\n};\n\nfunction toggleHover(gd) {\n    var fullLayout = gd._fullLayout;\n\n    var onHoverVal;\n    if(fullLayout._has('cartesian')) {\n        onHoverVal = fullLayout._isHoriz ? 'y' : 'x';\n    }\n    else onHoverVal = 'closest';\n\n    var newHover = gd._fullLayout.hovermode ? false : onHoverVal;\n\n    Registry.call('relayout', gd, 'hovermode', newHover);\n}\n\n// buttons when more then one plot types are present\n\nmodeBarButtons.toggleHover = {\n    name: 'toggleHover',\n    title: function(gd) { return _(gd, 'Toggle show closest data on hover'); },\n    attr: 'hovermode',\n    val: null,\n    toggle: true,\n    icon: Icons.tooltip_basic,\n    gravity: 'ne',\n    click: function(gd, ev) {\n        toggleHover(gd);\n\n        // the 3d hovermode update must come\n        // last so that layout.hovermode update does not\n        // override scene?.hovermode?.layout.\n        handleHover3d(gd, ev);\n    }\n};\n\nmodeBarButtons.resetViews = {\n    name: 'resetViews',\n    title: function(gd) { return _(gd, 'Reset views'); },\n    icon: Icons.home,\n    click: function(gd, ev) {\n        var button = ev.currentTarget;\n\n        button.setAttribute('data-attr', 'zoom');\n        button.setAttribute('data-val', 'reset');\n        handleCartesian(gd, ev);\n\n        button.setAttribute('data-attr', 'resetLastSave');\n        handleCamera3d(gd, ev);\n\n        resetView(gd, 'geo');\n        resetView(gd, 'mapbox');\n    }\n};\n\nmodeBarButtons.toggleSpikelines = {\n    name: 'toggleSpikelines',\n    title: function(gd) { return _(gd, 'Toggle Spike Lines'); },\n    icon: Icons.spikeline,\n    attr: '_cartesianSpikesEnabled',\n    val: 'on',\n    click: function(gd) {\n        var fullLayout = gd._fullLayout;\n\n        fullLayout._cartesianSpikesEnabled = fullLayout._cartesianSpikesEnabled === 'on' ? 'off' : 'on';\n\n        var aobj = setSpikelineVisibility(gd);\n\n        Registry.call('relayout', gd, aobj);\n    }\n};\n\nfunction setSpikelineVisibility(gd) {\n    var fullLayout = gd._fullLayout;\n    var axList = axisIds.list(gd, null, true);\n    var aobj = {};\n\n    var ax, axName;\n\n    for(var i = 0; i < axList.length; i++) {\n        ax = axList[i];\n        axName = ax._name;\n        aobj[axName + '.showspikes'] = fullLayout._cartesianSpikesEnabled === 'on' ? true : ax._showSpikeInitial;\n    }\n\n    return aobj;\n}\n\nmodeBarButtons.resetViewMapbox = {\n    name: 'resetViewMapbox',\n    title: function(gd) { return _(gd, 'Reset view'); },\n    attr: 'reset',\n    icon: Icons.home,\n    click: function(gd) {\n        resetView(gd, 'mapbox');\n    }\n};\n\nfunction resetView(gd, subplotType) {\n    var fullLayout = gd._fullLayout;\n    var subplotIds = fullLayout._subplots[subplotType];\n    var aObj = {};\n\n    for(var i = 0; i < subplotIds.length; i++) {\n        var id = subplotIds[i];\n        var subplotObj = fullLayout[id]._subplot;\n        var viewInitial = subplotObj.viewInitial;\n        var viewKeys = Object.keys(viewInitial);\n\n        for(var j = 0; j < viewKeys.length; j++) {\n            var key = viewKeys[j];\n            aObj[id + '.' + key] = viewInitial[key];\n        }\n    }\n\n    Registry.call('relayout', gd, aObj);\n}\n\n},{\"../../../build/ploticon\":2,\"../../lib\":696,\"../../plots/cartesian/axis_ids\":748,\"../../plots/plots\":809,\"../../registry\":828}],633:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nexports.manage = _dereq_('./manage');\n\n},{\"./manage\":634}],634:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar axisIds = _dereq_('../../plots/cartesian/axis_ids');\nvar scatterSubTypes = _dereq_('../../traces/scatter/subtypes');\nvar Registry = _dereq_('../../registry');\n\nvar createModeBar = _dereq_('./modebar');\nvar modeBarButtons = _dereq_('./buttons');\n\n/**\n * ModeBar wrapper around 'create' and 'update',\n * chooses buttons to pass to ModeBar constructor based on\n * plot type and plot config.\n *\n * @param {object} gd main plot object\n *\n */\nmodule.exports = function manageModeBar(gd) {\n    var fullLayout = gd._fullLayout,\n        context = gd._context,\n        modeBar = fullLayout._modeBar;\n\n    if(!context.displayModeBar) {\n        if(modeBar) {\n            modeBar.destroy();\n            delete fullLayout._modeBar;\n        }\n        return;\n    }\n\n    if(!Array.isArray(context.modeBarButtonsToRemove)) {\n        throw new Error([\n            '*modeBarButtonsToRemove* configuration options',\n            'must be an array.'\n        ].join(' '));\n    }\n\n    if(!Array.isArray(context.modeBarButtonsToAdd)) {\n        throw new Error([\n            '*modeBarButtonsToAdd* configuration options',\n            'must be an array.'\n        ].join(' '));\n    }\n\n    var customButtons = context.modeBarButtons;\n    var buttonGroups;\n\n    if(Array.isArray(customButtons) && customButtons.length) {\n        buttonGroups = fillCustomButton(customButtons);\n    }\n    else {\n        buttonGroups = getButtonGroups(\n            gd,\n            context.modeBarButtonsToRemove,\n            context.modeBarButtonsToAdd\n        );\n    }\n\n    if(modeBar) modeBar.update(gd, buttonGroups);\n    else fullLayout._modeBar = createModeBar(gd, buttonGroups);\n};\n\n// logic behind which buttons are displayed by default\nfunction getButtonGroups(gd, buttonsToRemove, buttonsToAdd) {\n    var fullLayout = gd._fullLayout;\n    var fullData = gd._fullData;\n\n    var hasCartesian = fullLayout._has('cartesian');\n    var hasGL3D = fullLayout._has('gl3d');\n    var hasGeo = fullLayout._has('geo');\n    var hasPie = fullLayout._has('pie');\n    var hasGL2D = fullLayout._has('gl2d');\n    var hasTernary = fullLayout._has('ternary');\n    var hasMapbox = fullLayout._has('mapbox');\n    var hasPolar = fullLayout._has('polar');\n    var allAxesFixed = areAllAxesFixed(fullLayout);\n\n    var groups = [];\n\n    function addGroup(newGroup) {\n        if(!newGroup.length) return;\n\n        var out = [];\n\n        for(var i = 0; i < newGroup.length; i++) {\n            var button = newGroup[i];\n            if(buttonsToRemove.indexOf(button) !== -1) continue;\n            out.push(modeBarButtons[button]);\n        }\n\n        groups.push(out);\n    }\n\n    // buttons common to all plot types\n    addGroup(['toImage', 'sendDataToCloud']);\n\n    var zoomGroup = [];\n    var hoverGroup = [];\n    var resetGroup = [];\n    var dragModeGroup = [];\n\n    if((hasCartesian || hasGL2D || hasPie || hasTernary) + hasGeo + hasGL3D + hasMapbox + hasPolar > 1) {\n        // graphs with more than one plot types get 'union buttons'\n        // which reset the view or toggle hover labels across all subplots.\n        hoverGroup = ['toggleHover'];\n        resetGroup = ['resetViews'];\n    }\n    else if(hasGeo) {\n        zoomGroup = ['zoomInGeo', 'zoomOutGeo'];\n        hoverGroup = ['hoverClosestGeo'];\n        resetGroup = ['resetGeo'];\n    }\n    else if(hasGL3D) {\n        hoverGroup = ['hoverClosest3d'];\n        resetGroup = ['resetCameraDefault3d', 'resetCameraLastSave3d'];\n    }\n    else if(hasMapbox) {\n        hoverGroup = ['toggleHover'];\n        resetGroup = ['resetViewMapbox'];\n    }\n    else if(hasGL2D) {\n        hoverGroup = ['hoverClosestGl2d'];\n    }\n    else if(hasPie) {\n        hoverGroup = ['hoverClosestPie'];\n    }\n    else { // hasPolar, hasTernary\n        // always show at least one hover icon.\n        hoverGroup = ['toggleHover'];\n    }\n    // if we have cartesian, allow switching between closest and compare\n    // regardless of what other types are on the plot, since they'll all\n    // just treat any truthy hovermode as 'closest'\n    if(hasCartesian) {\n        hoverGroup = ['toggleSpikelines', 'hoverClosestCartesian', 'hoverCompareCartesian'];\n    }\n\n    if((hasCartesian || hasGL2D) && !allAxesFixed) {\n        zoomGroup = ['zoomIn2d', 'zoomOut2d', 'autoScale2d'];\n        if(resetGroup[0] !== 'resetViews') resetGroup = ['resetScale2d'];\n    }\n\n    if(hasGL3D) {\n        dragModeGroup = ['zoom3d', 'pan3d', 'orbitRotation', 'tableRotation'];\n    }\n    else if(((hasCartesian || hasGL2D) && !allAxesFixed) || hasTernary) {\n        dragModeGroup = ['zoom2d', 'pan2d'];\n    }\n    else if(hasMapbox || hasGeo) {\n        dragModeGroup = ['pan2d'];\n    }\n    else if(hasPolar) {\n        dragModeGroup = ['zoom2d'];\n    }\n    if(isSelectable(fullData)) {\n        dragModeGroup.push('select2d', 'lasso2d');\n    }\n\n    addGroup(dragModeGroup);\n    addGroup(zoomGroup.concat(resetGroup));\n    addGroup(hoverGroup);\n\n    return appendButtonsToGroups(groups, buttonsToAdd);\n}\n\nfunction areAllAxesFixed(fullLayout) {\n    var axList = axisIds.list({_fullLayout: fullLayout}, null, true);\n\n    for(var i = 0; i < axList.length; i++) {\n        if(!axList[i].fixedrange) {\n            return false;\n        }\n    }\n\n    return true;\n}\n\n// look for traces that support selection\n// to be updated as we add more selectPoints handlers\nfunction isSelectable(fullData) {\n    var selectable = false;\n\n    for(var i = 0; i < fullData.length; i++) {\n        if(selectable) break;\n\n        var trace = fullData[i];\n\n        if(!trace._module || !trace._module.selectPoints) continue;\n\n        if(Registry.traceIs(trace, 'scatter-like')) {\n            if(scatterSubTypes.hasMarkers(trace) || scatterSubTypes.hasText(trace)) {\n                selectable = true;\n            }\n        } else if(Registry.traceIs(trace, 'box-violin')) {\n            if(trace.boxpoints === 'all' || trace.points === 'all') {\n                selectable = true;\n            }\n        }\n        // assume that in general if the trace module has selectPoints,\n        // then it's selectable. Scatter is an exception to this because it must\n        // have markers or text, not just be a scatter type.\n        else selectable = true;\n    }\n\n    return selectable;\n}\n\nfunction appendButtonsToGroups(groups, buttons) {\n    if(buttons.length) {\n        if(Array.isArray(buttons[0])) {\n            for(var i = 0; i < buttons.length; i++) {\n                groups.push(buttons[i]);\n            }\n        }\n        else groups.push(buttons);\n    }\n\n    return groups;\n}\n\n// fill in custom buttons referring to default mode bar buttons\nfunction fillCustomButton(customButtons) {\n    for(var i = 0; i < customButtons.length; i++) {\n        var buttonGroup = customButtons[i];\n\n        for(var j = 0; j < buttonGroup.length; j++) {\n            var button = buttonGroup[j];\n\n            if(typeof button === 'string') {\n                if(modeBarButtons[button] !== undefined) {\n                    customButtons[i][j] = modeBarButtons[button];\n                }\n                else {\n                    throw new Error([\n                        '*modeBarButtons* configuration options',\n                        'invalid button name'\n                    ].join(' '));\n                }\n            }\n        }\n    }\n\n    return customButtons;\n}\n\n},{\"../../plots/cartesian/axis_ids\":748,\"../../registry\":828,\"../../traces/scatter/subtypes\":1068,\"./buttons\":632,\"./modebar\":635}],635:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\nvar Icons = _dereq_('../../../build/ploticon');\nvar Parser = new DOMParser();\n\n/**\n * UI controller for interactive plots\n * @Class\n * @Param {object} opts\n * @Param {object} opts.buttons    nested arrays of grouped buttons config objects\n * @Param {object} opts.container  container div to append modeBar\n * @Param {object} opts.graphInfo  primary plot object containing data and layout\n */\nfunction ModeBar(opts) {\n    this.container = opts.container;\n    this.element = document.createElement('div');\n\n    this.update(opts.graphInfo, opts.buttons);\n\n    this.container.appendChild(this.element);\n}\n\nvar proto = ModeBar.prototype;\n\n/**\n * Update modeBar (buttons and logo)\n *\n * @param {object} graphInfo  primary plot object containing data and layout\n * @param {array of arrays} buttons nested arrays of grouped buttons to initialize\n *\n */\nproto.update = function(graphInfo, buttons) {\n    this.graphInfo = graphInfo;\n\n    var context = this.graphInfo._context,\n        fullLayout = this.graphInfo._fullLayout,\n        modeBarId = 'modebar-' + fullLayout._uid;\n\n    this.element.setAttribute('id', modeBarId);\n    this._uid = modeBarId;\n\n    if(context.displayModeBar === 'hover') {\n        this.element.className = 'modebar modebar--hover';\n    }\n    else this.element.className = 'modebar';\n\n    if(fullLayout.modebar.orientation === 'v') {\n        this.element.className += ' vertical';\n        buttons = buttons.reverse();\n    }\n\n    Lib.deleteRelatedStyleRule(modeBarId);\n    Lib.addRelatedStyleRule(modeBarId, '#' + modeBarId, 'background-color: ' + fullLayout.modebar.bgcolor);\n    Lib.addRelatedStyleRule(modeBarId, '#' + modeBarId + ' .modebar-btn .icon path', 'fill: ' + fullLayout.modebar.color);\n    Lib.addRelatedStyleRule(modeBarId, '#' + modeBarId + ' .modebar-btn:hover .icon path', 'fill: ' + fullLayout.modebar.activecolor);\n    Lib.addRelatedStyleRule(modeBarId, '#' + modeBarId + ' .modebar-btn.active .icon path', 'fill: ' + fullLayout.modebar.activecolor);\n\n    // if buttons or logo have changed, redraw modebar interior\n    var needsNewButtons = !this.hasButtons(buttons);\n    var needsNewLogo = (this.hasLogo !== context.displaylogo);\n    var needsNewLocale = (this.locale !== context.locale);\n\n    this.locale = context.locale;\n\n    if(needsNewButtons || needsNewLogo || needsNewLocale) {\n        this.removeAllButtons();\n\n        this.updateButtons(buttons);\n\n        if(context.displaylogo) {\n            if(fullLayout.modebar.orientation === 'v') {\n                this.element.prepend(this.getLogo());\n            } else {\n                this.element.appendChild(this.getLogo());\n            }\n\n            this.hasLogo = true;\n        }\n    }\n\n    this.updateActiveButton();\n};\n\nproto.updateButtons = function(buttons) {\n    var _this = this;\n\n    this.buttons = buttons;\n    this.buttonElements = [];\n    this.buttonsNames = [];\n\n    this.buttons.forEach(function(buttonGroup) {\n        var group = _this.createGroup();\n\n        buttonGroup.forEach(function(buttonConfig) {\n            var buttonName = buttonConfig.name;\n            if(!buttonName) {\n                throw new Error('must provide button \\'name\\' in button config');\n            }\n            if(_this.buttonsNames.indexOf(buttonName) !== -1) {\n                throw new Error('button name \\'' + buttonName + '\\' is taken');\n            }\n            _this.buttonsNames.push(buttonName);\n\n            var button = _this.createButton(buttonConfig);\n            _this.buttonElements.push(button);\n            group.appendChild(button);\n        });\n\n        _this.element.appendChild(group);\n    });\n};\n\n/**\n * Empty div for containing a group of buttons\n * @Return {HTMLelement}\n */\nproto.createGroup = function() {\n    var group = document.createElement('div');\n    group.className = 'modebar-group';\n\n    return group;\n};\n\n/**\n * Create a new button div and set constant and configurable attributes\n * @Param {object} config (see ./buttons.js for more info)\n * @Return {HTMLelement}\n */\nproto.createButton = function(config) {\n    var _this = this,\n        button = document.createElement('a');\n\n    button.setAttribute('rel', 'tooltip');\n    button.className = 'modebar-btn';\n\n    var title = config.title;\n    if(title === undefined) title = config.name;\n    // for localization: allow title to be a callable that takes gd as arg\n    else if(typeof title === 'function') title = title(this.graphInfo);\n\n    if(title || title === 0) button.setAttribute('data-title', title);\n\n    if(config.attr !== undefined) button.setAttribute('data-attr', config.attr);\n\n    var val = config.val;\n    if(val !== undefined) {\n        if(typeof val === 'function') val = val(this.graphInfo);\n        button.setAttribute('data-val', val);\n    }\n\n    var click = config.click;\n    if(typeof click !== 'function') {\n        throw new Error('must provide button \\'click\\' function in button config');\n    }\n    else {\n        button.addEventListener('click', function(ev) {\n            config.click(_this.graphInfo, ev);\n\n            // only needed for 'hoverClosestGeo' which does not call relayout\n            _this.updateActiveButton(ev.currentTarget);\n        });\n    }\n\n    button.setAttribute('data-toggle', config.toggle || false);\n    if(config.toggle) d3.select(button).classed('active', true);\n\n    var icon = config.icon;\n    if(typeof icon === 'function') {\n        button.appendChild(icon());\n    }\n    else {\n        button.appendChild(this.createIcon(icon || Icons.question));\n    }\n    button.setAttribute('data-gravity', config.gravity || 'n');\n\n    return button;\n};\n\n/**\n * Add an icon to a button\n * @Param {object} thisIcon\n * @Param {number} thisIcon.width\n * @Param {string} thisIcon.path\n * @Param {string} thisIcon.color\n * @Return {HTMLelement}\n */\nproto.createIcon = function(thisIcon) {\n    var iconHeight = isNumeric(thisIcon.height) ?\n            Number(thisIcon.height) :\n            thisIcon.ascent - thisIcon.descent,\n        svgNS = 'http://www.w3.org/2000/svg',\n        icon;\n\n    if(thisIcon.path) {\n        icon = document.createElementNS(svgNS, 'svg');\n        icon.setAttribute('viewBox', [0, 0, thisIcon.width, iconHeight].join(' '));\n        icon.setAttribute('class', 'icon');\n\n        var path = document.createElementNS(svgNS, 'path');\n        path.setAttribute('d', thisIcon.path);\n\n        if(thisIcon.transform) {\n            path.setAttribute('transform', thisIcon.transform);\n        }\n        else if(thisIcon.ascent !== undefined) {\n            // Legacy icon transform calculation\n            path.setAttribute('transform', 'matrix(1 0 0 -1 0 ' + thisIcon.ascent + ')');\n        }\n\n        icon.appendChild(path);\n    }\n\n    if(thisIcon.svg) {\n        var svgDoc = Parser.parseFromString(thisIcon.svg, 'application/xml');\n        icon = svgDoc.childNodes[0];\n    }\n\n    icon.setAttribute('height', '1em');\n    icon.setAttribute('width', '1em');\n\n    return icon;\n};\n\n/**\n * Updates active button with attribute specified in layout\n * @Param {object} graphInfo plot object containing data and layout\n * @Return {HTMLelement}\n */\nproto.updateActiveButton = function(buttonClicked) {\n    var fullLayout = this.graphInfo._fullLayout,\n        dataAttrClicked = (buttonClicked !== undefined) ?\n            buttonClicked.getAttribute('data-attr') :\n            null;\n\n    this.buttonElements.forEach(function(button) {\n        var thisval = button.getAttribute('data-val') || true,\n            dataAttr = button.getAttribute('data-attr'),\n            isToggleButton = (button.getAttribute('data-toggle') === 'true'),\n            button3 = d3.select(button);\n\n        // Use 'data-toggle' and 'buttonClicked' to toggle buttons\n        // that have no one-to-one equivalent in fullLayout\n        if(isToggleButton) {\n            if(dataAttr === dataAttrClicked) {\n                button3.classed('active', !button3.classed('active'));\n            }\n        }\n        else {\n            var val = (dataAttr === null) ?\n                dataAttr :\n                Lib.nestedProperty(fullLayout, dataAttr).get();\n\n            button3.classed('active', val === thisval);\n        }\n\n    });\n};\n\n/**\n * Check if modeBar is configured as button configuration argument\n *\n * @Param {object} buttons 2d array of grouped button config objects\n * @Return {boolean}\n */\nproto.hasButtons = function(buttons) {\n    var currentButtons = this.buttons;\n\n    if(!currentButtons) return false;\n\n    if(buttons.length !== currentButtons.length) return false;\n\n    for(var i = 0; i < buttons.length; ++i) {\n        if(buttons[i].length !== currentButtons[i].length) return false;\n        for(var j = 0; j < buttons[i].length; j++) {\n            if(buttons[i][j].name !== currentButtons[i][j].name) return false;\n        }\n    }\n\n    return true;\n};\n\n/**\n * @return {HTMLDivElement} The logo image wrapped in a group\n */\nproto.getLogo = function() {\n    var group = this.createGroup(),\n        a = document.createElement('a');\n\n    a.href = 'https://plot.ly/';\n    a.target = '_blank';\n    a.setAttribute('data-title', Lib._(this.graphInfo, 'Produced with Plotly'));\n    a.className = 'modebar-btn plotlyjsicon modebar-btn--logo';\n\n    a.appendChild(this.createIcon(Icons.newplotlylogo));\n\n    group.appendChild(a);\n    return group;\n};\n\nproto.removeAllButtons = function() {\n    while(this.element.firstChild) {\n        this.element.removeChild(this.element.firstChild);\n    }\n\n    this.hasLogo = false;\n};\n\nproto.destroy = function() {\n    Lib.removeElement(this.container.querySelector('.modebar'));\n    Lib.deleteRelatedStyleRule(this._uid);\n};\n\nfunction createModeBar(gd, buttons) {\n    var fullLayout = gd._fullLayout;\n\n    var modeBar = new ModeBar({\n        graphInfo: gd,\n        container: fullLayout._paperdiv.node(),\n        buttons: buttons\n    });\n\n    if(fullLayout._privateplot) {\n        d3.select(modeBar.element).append('span')\n            .classed('badge-private float--left', true)\n            .text('PRIVATE');\n    }\n\n    return modeBar;\n}\n\nmodule.exports = createModeBar;\n\n},{\"../../../build/ploticon\":2,\"../../lib\":696,\"d3\":148,\"fast-isnumeric\":214}],636:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar colorAttrs = _dereq_('../color/attributes');\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\n\nvar buttonAttrs = templatedArray('button', {\n    visible: {\n        valType: 'boolean',\n        \n        dflt: true,\n        editType: 'plot',\n        \n    },\n    step: {\n        valType: 'enumerated',\n        \n        values: ['month', 'year', 'day', 'hour', 'minute', 'second', 'all'],\n        dflt: 'month',\n        editType: 'plot',\n        \n    },\n    stepmode: {\n        valType: 'enumerated',\n        \n        values: ['backward', 'todate'],\n        dflt: 'backward',\n        editType: 'plot',\n        \n    },\n    count: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 1,\n        editType: 'plot',\n        \n    },\n    label: {\n        valType: 'string',\n        \n        editType: 'plot',\n        \n    },\n    editType: 'plot',\n    \n});\n\nmodule.exports = {\n    visible: {\n        valType: 'boolean',\n        \n        editType: 'plot',\n        \n    },\n\n    buttons: buttonAttrs,\n\n    x: {\n        valType: 'number',\n        min: -2,\n        max: 3,\n        \n        editType: 'plot',\n        \n    },\n    xanchor: {\n        valType: 'enumerated',\n        values: ['auto', 'left', 'center', 'right'],\n        dflt: 'left',\n        \n        editType: 'plot',\n        \n    },\n    y: {\n        valType: 'number',\n        min: -2,\n        max: 3,\n        \n        editType: 'plot',\n        \n    },\n    yanchor: {\n        valType: 'enumerated',\n        values: ['auto', 'top', 'middle', 'bottom'],\n        dflt: 'bottom',\n        \n        editType: 'plot',\n        \n    },\n\n    font: fontAttrs({\n        editType: 'plot',\n        \n    }),\n\n    bgcolor: {\n        valType: 'color',\n        dflt: colorAttrs.lightLine,\n        \n        editType: 'plot',\n        \n    },\n    activecolor: {\n        valType: 'color',\n        \n        editType: 'plot',\n        \n    },\n    bordercolor: {\n        valType: 'color',\n        dflt: colorAttrs.defaultLine,\n        \n        editType: 'plot',\n        \n    },\n    borderwidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'plot',\n        \n    },\n    editType: 'plot'\n};\n\n},{\"../../plot_api/plot_template\":735,\"../../plots/font_attributes\":772,\"../color/attributes\":569}],637:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n\n    // 'y' position pad above counter axis domain\n    yPad: 0.02,\n\n    // minimum button width (regardless of text size)\n    minButtonWidth: 30,\n\n    // buttons rect radii\n    rx: 3,\n    ry: 3,\n\n    // light fraction used to compute the 'activecolor' default\n    lightAmount: 25,\n    darkAmount: 10\n};\n\n},{}],638:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Color = _dereq_('../color');\nvar Template = _dereq_('../../plot_api/plot_template');\nvar handleArrayContainerDefaults = _dereq_('../../plots/array_container_defaults');\n\nvar attributes = _dereq_('./attributes');\nvar constants = _dereq_('./constants');\n\n\nmodule.exports = function handleDefaults(containerIn, containerOut, layout, counterAxes, calendar) {\n    var selectorIn = containerIn.rangeselector || {};\n    var selectorOut = Template.newContainer(containerOut, 'rangeselector');\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(selectorIn, selectorOut, attributes, attr, dflt);\n    }\n\n    var buttons = handleArrayContainerDefaults(selectorIn, selectorOut, {\n        name: 'buttons',\n        handleItemDefaults: buttonDefaults,\n        calendar: calendar\n    });\n\n    var visible = coerce('visible', buttons.length > 0);\n    if(visible) {\n        var posDflt = getPosDflt(containerOut, layout, counterAxes);\n        coerce('x', posDflt[0]);\n        coerce('y', posDflt[1]);\n        Lib.noneOrAll(containerIn, containerOut, ['x', 'y']);\n\n        coerce('xanchor');\n        coerce('yanchor');\n\n        Lib.coerceFont(coerce, 'font', layout.font);\n\n        var bgColor = coerce('bgcolor');\n        coerce('activecolor', Color.contrast(bgColor, constants.lightAmount, constants.darkAmount));\n        coerce('bordercolor');\n        coerce('borderwidth');\n    }\n};\n\nfunction buttonDefaults(buttonIn, buttonOut, selectorOut, opts) {\n    var calendar = opts.calendar;\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(buttonIn, buttonOut, attributes.buttons, attr, dflt);\n    }\n\n    var visible = coerce('visible');\n\n    if(visible) {\n        var step = coerce('step');\n        if(step !== 'all') {\n            if(calendar && calendar !== 'gregorian' && (step === 'month' || step === 'year')) {\n                buttonOut.stepmode = 'backward';\n            }\n            else {\n                coerce('stepmode');\n            }\n\n            coerce('count');\n        }\n\n        coerce('label');\n    }\n}\n\nfunction getPosDflt(containerOut, layout, counterAxes) {\n    var anchoredList = counterAxes.filter(function(ax) {\n        return layout[ax].anchor === containerOut._id;\n    });\n\n    var posY = 0;\n    for(var i = 0; i < anchoredList.length; i++) {\n        var domain = layout[anchoredList[i]].domain;\n        if(domain) posY = Math.max(domain[1], posY);\n    }\n\n    return [containerOut.domain[0], posY + constants.yPad];\n}\n\n},{\"../../lib\":696,\"../../plot_api/plot_template\":735,\"../../plots/array_container_defaults\":741,\"../color\":570,\"./attributes\":636,\"./constants\":637}],639:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Registry = _dereq_('../../registry');\nvar Plots = _dereq_('../../plots/plots');\nvar Color = _dereq_('../color');\nvar Drawing = _dereq_('../drawing');\nvar Lib = _dereq_('../../lib');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar axisIds = _dereq_('../../plots/cartesian/axis_ids');\nvar anchorUtils = _dereq_('../legend/anchor_utils');\n\nvar alignmentConstants = _dereq_('../../constants/alignment');\nvar LINE_SPACING = alignmentConstants.LINE_SPACING;\nvar FROM_TL = alignmentConstants.FROM_TL;\nvar FROM_BR = alignmentConstants.FROM_BR;\n\nvar constants = _dereq_('./constants');\nvar getUpdateObject = _dereq_('./get_update_object');\n\n\nmodule.exports = function draw(gd) {\n    var fullLayout = gd._fullLayout;\n\n    var selectors = fullLayout._infolayer.selectAll('.rangeselector')\n        .data(makeSelectorData(gd), selectorKeyFunc);\n\n    selectors.enter().append('g')\n        .classed('rangeselector', true);\n\n    selectors.exit().remove();\n\n    selectors.style({\n        cursor: 'pointer',\n        'pointer-events': 'all'\n    });\n\n    selectors.each(function(d) {\n        var selector = d3.select(this),\n            axisLayout = d,\n            selectorLayout = axisLayout.rangeselector;\n\n        var buttons = selector.selectAll('g.button')\n            .data(Lib.filterVisible(selectorLayout.buttons));\n\n        buttons.enter().append('g')\n            .classed('button', true);\n\n        buttons.exit().remove();\n\n        buttons.each(function(d) {\n            var button = d3.select(this);\n            var update = getUpdateObject(axisLayout, d);\n\n            d._isActive = isActive(axisLayout, d, update);\n\n            button.call(drawButtonRect, selectorLayout, d);\n            button.call(drawButtonText, selectorLayout, d, gd);\n\n            button.on('click', function() {\n                if(gd._dragged) return;\n\n                Registry.call('relayout', gd, update);\n            });\n\n            button.on('mouseover', function() {\n                d._isHovered = true;\n                button.call(drawButtonRect, selectorLayout, d);\n            });\n\n            button.on('mouseout', function() {\n                d._isHovered = false;\n                button.call(drawButtonRect, selectorLayout, d);\n            });\n        });\n\n        reposition(gd, buttons, selectorLayout, axisLayout._name, selector);\n    });\n\n};\n\nfunction makeSelectorData(gd) {\n    var axes = axisIds.list(gd, 'x', true);\n    var data = [];\n\n    for(var i = 0; i < axes.length; i++) {\n        var axis = axes[i];\n\n        if(axis.rangeselector && axis.rangeselector.visible) {\n            data.push(axis);\n        }\n    }\n\n    return data;\n}\n\nfunction selectorKeyFunc(d) {\n    return d._id;\n}\n\nfunction isActive(axisLayout, opts, update) {\n    if(opts.step === 'all') {\n        return axisLayout.autorange === true;\n    }\n    else {\n        var keys = Object.keys(update);\n\n        return (\n            axisLayout.range[0] === update[keys[0]] &&\n            axisLayout.range[1] === update[keys[1]]\n        );\n    }\n}\n\nfunction drawButtonRect(button, selectorLayout, d) {\n    var rect = Lib.ensureSingle(button, 'rect', 'selector-rect', function(s) {\n        s.attr('shape-rendering', 'crispEdges');\n    });\n\n    rect.attr({\n        'rx': constants.rx,\n        'ry': constants.ry\n    });\n\n    rect.call(Color.stroke, selectorLayout.bordercolor)\n        .call(Color.fill, getFillColor(selectorLayout, d))\n        .style('stroke-width', selectorLayout.borderwidth + 'px');\n}\n\nfunction getFillColor(selectorLayout, d) {\n    return (d._isActive || d._isHovered) ?\n        selectorLayout.activecolor :\n        selectorLayout.bgcolor;\n}\n\nfunction drawButtonText(button, selectorLayout, d, gd) {\n    function textLayout(s) {\n        svgTextUtils.convertToTspans(s, gd);\n    }\n\n    var text = Lib.ensureSingle(button, 'text', 'selector-text', function(s) {\n        s.classed('user-select-none', true)\n            .attr('text-anchor', 'middle');\n    });\n\n    text.call(Drawing.font, selectorLayout.font)\n        .text(getLabel(d))\n        .call(textLayout);\n}\n\nfunction getLabel(opts) {\n    if(opts.label) return opts.label;\n\n    if(opts.step === 'all') return 'all';\n\n    return opts.count + opts.step.charAt(0);\n}\n\nfunction reposition(gd, buttons, opts, axName, selector) {\n    var width = 0;\n    var height = 0;\n\n    var borderWidth = opts.borderwidth;\n\n    buttons.each(function() {\n        var button = d3.select(this);\n        var text = button.select('.selector-text');\n\n        var tHeight = opts.font.size * LINE_SPACING;\n        var hEff = Math.max(tHeight * svgTextUtils.lineCount(text), 16) + 3;\n\n        height = Math.max(height, hEff);\n    });\n\n    buttons.each(function() {\n        var button = d3.select(this);\n        var rect = button.select('.selector-rect');\n        var text = button.select('.selector-text');\n\n        var tWidth = text.node() && Drawing.bBox(text.node()).width;\n        var tHeight = opts.font.size * LINE_SPACING;\n        var tLines = svgTextUtils.lineCount(text);\n\n        var wEff = Math.max(tWidth + 10, constants.minButtonWidth);\n\n        // TODO add MathJax support\n\n        // TODO add buttongap attribute\n\n        button.attr('transform', 'translate(' +\n            (borderWidth + width) + ',' + borderWidth +\n        ')');\n\n        rect.attr({\n            x: 0,\n            y: 0,\n            width: wEff,\n            height: height\n        });\n\n        svgTextUtils.positionText(text, wEff / 2,\n            height / 2 - ((tLines - 1) * tHeight / 2) + 3);\n\n        width += wEff + 5;\n    });\n\n    var graphSize = gd._fullLayout._size;\n    var lx = graphSize.l + graphSize.w * opts.x;\n    var ly = graphSize.t + graphSize.h * (1 - opts.y);\n\n    var xanchor = 'left';\n    if(anchorUtils.isRightAnchor(opts)) {\n        lx -= width;\n        xanchor = 'right';\n    }\n    if(anchorUtils.isCenterAnchor(opts)) {\n        lx -= width / 2;\n        xanchor = 'center';\n    }\n\n    var yanchor = 'top';\n    if(anchorUtils.isBottomAnchor(opts)) {\n        ly -= height;\n        yanchor = 'bottom';\n    }\n    if(anchorUtils.isMiddleAnchor(opts)) {\n        ly -= height / 2;\n        yanchor = 'middle';\n    }\n\n    width = Math.ceil(width);\n    height = Math.ceil(height);\n    lx = Math.round(lx);\n    ly = Math.round(ly);\n\n    Plots.autoMargin(gd, axName + '-range-selector', {\n        x: opts.x,\n        y: opts.y,\n        l: width * FROM_TL[xanchor],\n        r: width * FROM_BR[xanchor],\n        b: height * FROM_BR[yanchor],\n        t: height * FROM_TL[yanchor]\n    });\n\n    selector.attr('transform', 'translate(' + lx + ',' + ly + ')');\n}\n\n},{\"../../constants/alignment\":668,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"../../plots/cartesian/axis_ids\":748,\"../../plots/plots\":809,\"../../registry\":828,\"../color\":570,\"../drawing\":595,\"../legend/anchor_utils\":622,\"./constants\":637,\"./get_update_object\":640,\"d3\":148}],640:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nmodule.exports = function getUpdateObject(axisLayout, buttonLayout) {\n    var axName = axisLayout._name;\n    var update = {};\n\n    if(buttonLayout.step === 'all') {\n        update[axName + '.autorange'] = true;\n    }\n    else {\n        var xrange = getXRange(axisLayout, buttonLayout);\n\n        update[axName + '.range[0]'] = xrange[0];\n        update[axName + '.range[1]'] = xrange[1];\n    }\n\n    return update;\n};\n\nfunction getXRange(axisLayout, buttonLayout) {\n    var currentRange = axisLayout.range;\n    var base = new Date(axisLayout.r2l(currentRange[1]));\n\n    var step = buttonLayout.step,\n        count = buttonLayout.count;\n\n    var range0;\n\n    switch(buttonLayout.stepmode) {\n        case 'backward':\n            range0 = axisLayout.l2r(+d3.time[step].utc.offset(base, -count));\n            break;\n\n        case 'todate':\n            var base2 = d3.time[step].utc.offset(base, -count);\n\n            range0 = axisLayout.l2r(+d3.time[step].utc.ceil(base2));\n            break;\n    }\n\n    var range1 = currentRange[1];\n\n    return [range0, range1];\n}\n\n},{\"d3\":148}],641:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'rangeselector',\n\n    schema: {\n        subplots: {\n            xaxis: {rangeselector: _dereq_('./attributes')}\n        }\n    },\n\n    layoutAttributes: _dereq_('./attributes'),\n    handleDefaults: _dereq_('./defaults'),\n\n    draw: _dereq_('./draw')\n};\n\n},{\"./attributes\":636,\"./defaults\":638,\"./draw\":639}],642:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorAttributes = _dereq_('../color/attributes');\n\nmodule.exports = {\n    bgcolor: {\n        valType: 'color',\n        dflt: colorAttributes.background,\n        \n        editType: 'plot',\n        \n    },\n    bordercolor: {\n        valType: 'color',\n        dflt: colorAttributes.defaultLine,\n        \n        editType: 'plot',\n        \n    },\n    borderwidth: {\n        valType: 'integer',\n        dflt: 0,\n        min: 0,\n        \n        editType: 'plot',\n        \n    },\n    autorange: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'calc',\n        impliedEdits: {'range[0]': undefined, 'range[1]': undefined},\n        \n    },\n    range: {\n        valType: 'info_array',\n        \n        items: [\n            {valType: 'any', editType: 'calc', impliedEdits: {'^autorange': false}},\n            {valType: 'any', editType: 'calc', impliedEdits: {'^autorange': false}}\n        ],\n        editType: 'calc',\n        impliedEdits: {'autorange': false},\n        \n    },\n    thickness: {\n        valType: 'number',\n        dflt: 0.15,\n        min: 0,\n        max: 1,\n        \n        editType: 'plot',\n        \n    },\n    visible: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'calc',\n        \n    },\n    editType: 'calc'\n};\n\n},{\"../color/attributes\":569}],643:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar listAxes = _dereq_('../../plots/cartesian/axis_ids').list;\nvar getAutoRange = _dereq_('../../plots/cartesian/autorange').getAutoRange;\nvar constants = _dereq_('./constants');\n\nmodule.exports = function calcAutorange(gd) {\n    var axes = listAxes(gd, 'x', true);\n\n    // Compute new slider range using axis autorange if necessary.\n    //\n    // Copy back range to input range slider container to skip\n    // this step in subsequent draw calls.\n\n    for(var i = 0; i < axes.length; i++) {\n        var ax = axes[i];\n        var opts = ax[constants.name];\n\n        if(opts && opts.visible && opts.autorange) {\n            opts._input.autorange = true;\n            opts._input.range = opts.range = getAutoRange(gd, ax);\n        }\n    }\n};\n\n},{\"../../plots/cartesian/autorange\":744,\"../../plots/cartesian/axis_ids\":748,\"./constants\":644}],644:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n\n    // attribute container name\n    name: 'rangeslider',\n\n    // class names\n\n    containerClassName: 'rangeslider-container',\n    bgClassName: 'rangeslider-bg',\n    rangePlotClassName: 'rangeslider-rangeplot',\n\n    maskMinClassName: 'rangeslider-mask-min',\n    maskMaxClassName: 'rangeslider-mask-max',\n    slideBoxClassName: 'rangeslider-slidebox',\n\n    grabberMinClassName: 'rangeslider-grabber-min',\n    grabAreaMinClassName: 'rangeslider-grabarea-min',\n    handleMinClassName: 'rangeslider-handle-min',\n\n    grabberMaxClassName: 'rangeslider-grabber-max',\n    grabAreaMaxClassName: 'rangeslider-grabarea-max',\n    handleMaxClassName: 'rangeslider-handle-max',\n\n    maskMinOppAxisClassName: 'rangeslider-mask-min-opp-axis',\n    maskMaxOppAxisClassName: 'rangeslider-mask-max-opp-axis',\n\n    // style constants\n\n    maskColor: 'rgba(0,0,0,0.4)',\n    maskOppAxisColor: 'rgba(0,0,0,0.2)',\n\n    slideBoxFill: 'transparent',\n    slideBoxCursor: 'ew-resize',\n\n    grabAreaFill: 'transparent',\n    grabAreaCursor: 'col-resize',\n    grabAreaWidth: 10,\n\n    handleWidth: 4,\n    handleRadius: 1,\n    handleStrokeWidth: 1,\n\n    extraPad: 15\n};\n\n},{}],645:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Template = _dereq_('../../plot_api/plot_template');\nvar axisIds = _dereq_('../../plots/cartesian/axis_ids');\n\nvar attributes = _dereq_('./attributes');\nvar oppAxisAttrs = _dereq_('./oppaxis_attributes');\n\nmodule.exports = function handleDefaults(layoutIn, layoutOut, axName) {\n    var axIn = layoutIn[axName];\n    var axOut = layoutOut[axName];\n\n    if(!(axIn.rangeslider || layoutOut._requestRangeslider[axOut._id])) return;\n\n    // not super proud of this (maybe store _ in axis object instead\n    if(!Lib.isPlainObject(axIn.rangeslider)) {\n        axIn.rangeslider = {};\n    }\n\n    var containerIn = axIn.rangeslider;\n    var containerOut = Template.newContainer(axOut, 'rangeslider');\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(containerIn, containerOut, attributes, attr, dflt);\n    }\n\n    var rangeContainerIn, rangeContainerOut;\n    function coerceRange(attr, dflt) {\n        return Lib.coerce(rangeContainerIn, rangeContainerOut, oppAxisAttrs, attr, dflt);\n    }\n\n    var visible = coerce('visible');\n    if(!visible) return;\n\n    coerce('bgcolor', layoutOut.plot_bgcolor);\n    coerce('bordercolor');\n    coerce('borderwidth');\n    coerce('thickness');\n\n    coerce('autorange', !axOut.isValidRange(containerIn.range));\n    coerce('range');\n\n    var subplots = layoutOut._subplots;\n    if(subplots) {\n        var yIds = subplots.cartesian\n            .filter(function(subplotId) {\n                return subplotId.substr(0, subplotId.indexOf('y')) === axisIds.name2id(axName);\n            })\n            .map(function(subplotId) {\n                return subplotId.substr(subplotId.indexOf('y'), subplotId.length);\n            });\n        var yNames = Lib.simpleMap(yIds, axisIds.id2name);\n        for(var i = 0; i < yNames.length; i++) {\n            var yName = yNames[i];\n\n            rangeContainerIn = containerIn[yName] || {};\n            rangeContainerOut = Template.newContainer(containerOut, yName, 'yaxis');\n\n            var yAxOut = layoutOut[yName];\n\n            var rangemodeDflt;\n            if(rangeContainerIn.range && yAxOut.isValidRange(rangeContainerIn.range)) {\n                rangemodeDflt = 'fixed';\n            }\n\n            var rangeMode = coerceRange('rangemode', rangemodeDflt);\n            if(rangeMode !== 'match') {\n                coerceRange('range', yAxOut.range.slice());\n            }\n        }\n    }\n\n    // to map back range slider (auto) range\n    containerOut._input = containerIn;\n};\n\n},{\"../../lib\":696,\"../../plot_api/plot_template\":735,\"../../plots/cartesian/axis_ids\":748,\"./attributes\":642,\"./oppaxis_attributes\":648}],646:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Registry = _dereq_('../../registry');\nvar Plots = _dereq_('../../plots/plots');\n\nvar Lib = _dereq_('../../lib');\nvar Drawing = _dereq_('../drawing');\nvar Color = _dereq_('../color');\nvar Titles = _dereq_('../titles');\n\nvar Cartesian = _dereq_('../../plots/cartesian');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nvar dragElement = _dereq_('../dragelement');\nvar setCursor = _dereq_('../../lib/setcursor');\n\nvar constants = _dereq_('./constants');\n\nmodule.exports = function(gd) {\n    var fullLayout = gd._fullLayout,\n        rangeSliderData = makeRangeSliderData(fullLayout);\n\n    /*\n     * <g container />\n     *  <rect bg />\n     *  < .... range plot />\n     *  <rect mask-min />\n     *  <rect mask-max />\n     *  <rect slidebox />\n     *  <g grabber-min />\n     *      <rect handle-min />\n     *      <rect grabare-min />\n     *  <g grabber-max />\n     *      <rect handle-max />\n     *      <rect grabare-max />\n     *\n     *  ...\n     */\n\n    function keyFunction(axisOpts) {\n        return axisOpts._name;\n    }\n\n    var rangeSliders = fullLayout._infolayer\n        .selectAll('g.' + constants.containerClassName)\n        .data(rangeSliderData, keyFunction);\n\n    rangeSliders.enter().append('g')\n        .classed(constants.containerClassName, true)\n        .attr('pointer-events', 'all');\n\n    // remove exiting sliders and their corresponding clip paths\n    rangeSliders.exit().each(function(axisOpts) {\n        var opts = axisOpts[constants.name];\n        fullLayout._topdefs.select('#' + opts._clipId).remove();\n    }).remove();\n\n    // return early if no range slider is visible\n    if(rangeSliderData.length === 0) return;\n\n    // for all present range sliders\n    rangeSliders.each(function(axisOpts) {\n        var rangeSlider = d3.select(this),\n            opts = axisOpts[constants.name],\n            oppAxisOpts = fullLayout[Axes.id2name(axisOpts.anchor)],\n            oppAxisRangeOpts = opts[Axes.id2name(axisOpts.anchor)];\n\n        // update range\n        // Expand slider range to the axis range\n        // TODO: what if the ranges are reversed?\n        if(opts.range) {\n            var outRange = opts.range;\n            var axRange = axisOpts.range;\n\n            outRange[0] = axisOpts.l2r(Math.min(axisOpts.r2l(outRange[0]), axisOpts.r2l(axRange[0])));\n            outRange[1] = axisOpts.l2r(Math.max(axisOpts.r2l(outRange[1]), axisOpts.r2l(axRange[1])));\n            opts._input.range = outRange.slice();\n        }\n\n        axisOpts.cleanRange('rangeslider.range');\n\n\n        // update range slider dimensions\n\n        var margin = fullLayout.margin;\n        var graphSize = fullLayout._size;\n        var domain = axisOpts.domain;\n        var tickHeight = (axisOpts._boundingBox || {}).height || 0;\n\n        var oppBottom = Infinity;\n        var subplotData = Axes.getSubplots(gd, axisOpts);\n        for(var i = 0; i < subplotData.length; i++) {\n            var oppAxis = Axes.getFromId(gd, subplotData[i].substr(subplotData[i].indexOf('y')));\n            oppBottom = Math.min(oppBottom, oppAxis.domain[0]);\n        }\n\n        opts._id = constants.name + axisOpts._id;\n        opts._clipId = opts._id + '-' + fullLayout._uid;\n\n        opts._width = graphSize.w * (domain[1] - domain[0]);\n        opts._height = (fullLayout.height - margin.b - margin.t) * opts.thickness;\n        opts._offsetShift = Math.floor(opts.borderwidth / 2);\n\n        var x = Math.round(margin.l + (graphSize.w * domain[0]));\n\n        var y = Math.round(\n            graphSize.t + graphSize.h * (1 - oppBottom) +\n            tickHeight +\n            opts._offsetShift + constants.extraPad\n        );\n\n        rangeSlider.attr('transform', 'translate(' + x + ',' + y + ')');\n\n        // update data <--> pixel coordinate conversion methods\n\n        var range0 = axisOpts.r2l(opts.range[0]),\n            range1 = axisOpts.r2l(opts.range[1]),\n            dist = range1 - range0;\n\n        opts.p2d = function(v) {\n            return (v / opts._width) * dist + range0;\n        };\n\n        opts.d2p = function(v) {\n            return (v - range0) / dist * opts._width;\n        };\n\n        opts._rl = [range0, range1];\n\n        if(oppAxisRangeOpts.rangemode !== 'match') {\n            var range0OppAxis = oppAxisOpts.r2l(oppAxisRangeOpts.range[0]),\n                range1OppAxis = oppAxisOpts.r2l(oppAxisRangeOpts.range[1]),\n                distOppAxis = range1OppAxis - range0OppAxis;\n\n            opts.d2pOppAxis = function(v) {\n                return (v - range0OppAxis) / distOppAxis * opts._height;\n            };\n        }\n\n        // update inner nodes\n\n        rangeSlider\n            .call(drawBg, gd, axisOpts, opts)\n            .call(addClipPath, gd, axisOpts, opts)\n            .call(drawRangePlot, gd, axisOpts, opts)\n            .call(drawMasks, gd, axisOpts, opts, oppAxisRangeOpts)\n            .call(drawSlideBox, gd, axisOpts, opts)\n            .call(drawGrabbers, gd, axisOpts, opts);\n\n        // setup drag element\n        setupDragElement(rangeSlider, gd, axisOpts, opts);\n\n        // update current range\n        setPixelRange(rangeSlider, gd, axisOpts, opts, oppAxisOpts, oppAxisRangeOpts);\n\n        // title goes next to range slider instead of tick labels, so\n        // just take it over and draw it from here\n        if(axisOpts.side === 'bottom') {\n            Titles.draw(gd, axisOpts._id + 'title', {\n                propContainer: axisOpts,\n                propName: axisOpts._name + '.title',\n                placeholder: fullLayout._dfltTitle.x,\n                attributes: {\n                    x: axisOpts._offset + axisOpts._length / 2,\n                    y: y + opts._height + opts._offsetShift + 10 + 1.5 * axisOpts.titlefont.size,\n                    'text-anchor': 'middle'\n                }\n            });\n        }\n\n        // update margins\n        Plots.autoMargin(gd, opts._id, {\n            x: domain[0],\n            y: oppBottom,\n            l: 0,\n            r: 0,\n            t: 0,\n            b: opts._height + margin.b + tickHeight,\n            pad: constants.extraPad + opts._offsetShift * 2\n        });\n    });\n};\n\nfunction makeRangeSliderData(fullLayout) {\n    var axes = Axes.list({ _fullLayout: fullLayout }, 'x', true),\n        name = constants.name,\n        out = [];\n\n    if(fullLayout._has('gl2d')) return out;\n\n    for(var i = 0; i < axes.length; i++) {\n        var ax = axes[i];\n\n        if(ax[name] && ax[name].visible) out.push(ax);\n    }\n\n    return out;\n}\n\nfunction setupDragElement(rangeSlider, gd, axisOpts, opts) {\n    var slideBox = rangeSlider.select('rect.' + constants.slideBoxClassName).node(),\n        grabAreaMin = rangeSlider.select('rect.' + constants.grabAreaMinClassName).node(),\n        grabAreaMax = rangeSlider.select('rect.' + constants.grabAreaMaxClassName).node();\n\n    rangeSlider.on('mousedown', function() {\n        var event = d3.event,\n            target = event.target,\n            startX = event.clientX,\n            offsetX = startX - rangeSlider.node().getBoundingClientRect().left,\n            minVal = opts.d2p(axisOpts._rl[0]),\n            maxVal = opts.d2p(axisOpts._rl[1]);\n\n        var dragCover = dragElement.coverSlip();\n\n        dragCover.addEventListener('mousemove', mouseMove);\n        dragCover.addEventListener('mouseup', mouseUp);\n\n        function mouseMove(e) {\n            var delta = +e.clientX - startX;\n            var pixelMin, pixelMax, cursor;\n\n            switch(target) {\n                case slideBox:\n                    cursor = 'ew-resize';\n                    pixelMin = minVal + delta;\n                    pixelMax = maxVal + delta;\n                    break;\n\n                case grabAreaMin:\n                    cursor = 'col-resize';\n                    pixelMin = minVal + delta;\n                    pixelMax = maxVal;\n                    break;\n\n                case grabAreaMax:\n                    cursor = 'col-resize';\n                    pixelMin = minVal;\n                    pixelMax = maxVal + delta;\n                    break;\n\n                default:\n                    cursor = 'ew-resize';\n                    pixelMin = offsetX;\n                    pixelMax = offsetX + delta;\n                    break;\n            }\n\n            if(pixelMax < pixelMin) {\n                var tmp = pixelMax;\n                pixelMax = pixelMin;\n                pixelMin = tmp;\n            }\n\n            opts._pixelMin = pixelMin;\n            opts._pixelMax = pixelMax;\n\n            setCursor(d3.select(dragCover), cursor);\n            setDataRange(rangeSlider, gd, axisOpts, opts);\n        }\n\n        function mouseUp() {\n            dragCover.removeEventListener('mousemove', mouseMove);\n            dragCover.removeEventListener('mouseup', mouseUp);\n            Lib.removeElement(dragCover);\n        }\n    });\n}\n\nfunction setDataRange(rangeSlider, gd, axisOpts, opts) {\n\n    function clamp(v) {\n        return axisOpts.l2r(Lib.constrain(v, opts._rl[0], opts._rl[1]));\n    }\n\n    var dataMin = clamp(opts.p2d(opts._pixelMin)),\n        dataMax = clamp(opts.p2d(opts._pixelMax));\n\n    window.requestAnimationFrame(function() {\n        Registry.call('relayout', gd, axisOpts._name + '.range', [dataMin, dataMax]);\n    });\n}\n\nfunction setPixelRange(rangeSlider, gd, axisOpts, opts, oppAxisOpts, oppAxisRangeOpts) {\n    var hw2 = constants.handleWidth / 2;\n\n    function clamp(v) {\n        return Lib.constrain(v, 0, opts._width);\n    }\n\n    function clampOppAxis(v) {\n        return Lib.constrain(v, 0, opts._height);\n    }\n\n    function clampHandle(v) {\n        return Lib.constrain(v, -hw2, opts._width + hw2);\n    }\n\n    var pixelMin = clamp(opts.d2p(axisOpts._rl[0])),\n        pixelMax = clamp(opts.d2p(axisOpts._rl[1]));\n\n    rangeSlider.select('rect.' + constants.slideBoxClassName)\n        .attr('x', pixelMin)\n        .attr('width', pixelMax - pixelMin);\n\n    rangeSlider.select('rect.' + constants.maskMinClassName)\n        .attr('width', pixelMin);\n\n    rangeSlider.select('rect.' + constants.maskMaxClassName)\n        .attr('x', pixelMax)\n        .attr('width', opts._width - pixelMax);\n\n    if(oppAxisRangeOpts.rangemode !== 'match') {\n        var pixelMinOppAxis = opts._height - clampOppAxis(opts.d2pOppAxis(oppAxisOpts._rl[1])),\n            pixelMaxOppAxis = opts._height - clampOppAxis(opts.d2pOppAxis(oppAxisOpts._rl[0]));\n\n        rangeSlider.select('rect.' + constants.maskMinOppAxisClassName)\n            .attr('x', pixelMin)\n            .attr('height', pixelMinOppAxis)\n            .attr('width', pixelMax - pixelMin);\n\n        rangeSlider.select('rect.' + constants.maskMaxOppAxisClassName)\n            .attr('x', pixelMin)\n            .attr('y', pixelMaxOppAxis)\n            .attr('height', opts._height - pixelMaxOppAxis)\n            .attr('width', pixelMax - pixelMin);\n\n        rangeSlider.select('rect.' + constants.slideBoxClassName)\n            .attr('y', pixelMinOppAxis)\n            .attr('height', pixelMaxOppAxis - pixelMinOppAxis);\n    }\n\n    // add offset for crispier corners\n    // https://github.com/plotly/plotly.js/pull/1409\n    var offset = 0.5;\n\n    var xMin = Math.round(clampHandle(pixelMin - hw2)) - offset,\n        xMax = Math.round(clampHandle(pixelMax - hw2)) + offset;\n\n    rangeSlider.select('g.' + constants.grabberMinClassName)\n        .attr('transform', 'translate(' + xMin + ',' + offset + ')');\n\n    rangeSlider.select('g.' + constants.grabberMaxClassName)\n        .attr('transform', 'translate(' + xMax + ',' + offset + ')');\n}\n\nfunction drawBg(rangeSlider, gd, axisOpts, opts) {\n    var bg = Lib.ensureSingle(rangeSlider, 'rect', constants.bgClassName, function(s) {\n        s.attr({\n            x: 0,\n            y: 0,\n            'shape-rendering': 'crispEdges'\n        });\n    });\n\n    var borderCorrect = (opts.borderwidth % 2) === 0 ?\n            opts.borderwidth :\n            opts.borderwidth - 1;\n\n    var offsetShift = -opts._offsetShift;\n    var lw = Drawing.crispRound(gd, opts.borderwidth);\n\n    bg.attr({\n        width: opts._width + borderCorrect,\n        height: opts._height + borderCorrect,\n        transform: 'translate(' + offsetShift + ',' + offsetShift + ')',\n        fill: opts.bgcolor,\n        stroke: opts.bordercolor,\n        'stroke-width': lw\n    });\n}\n\nfunction addClipPath(rangeSlider, gd, axisOpts, opts) {\n    var fullLayout = gd._fullLayout;\n\n    var clipPath = Lib.ensureSingleById(fullLayout._topdefs, 'clipPath', opts._clipId, function(s) {\n        s.append('rect').attr({ x: 0, y: 0 });\n    });\n\n    clipPath.select('rect').attr({\n        width: opts._width,\n        height: opts._height\n    });\n}\n\nfunction drawRangePlot(rangeSlider, gd, axisOpts, opts) {\n    var subplotData = Axes.getSubplots(gd, axisOpts),\n        calcData = gd.calcdata;\n\n    var rangePlots = rangeSlider.selectAll('g.' + constants.rangePlotClassName)\n        .data(subplotData, Lib.identity);\n\n    rangePlots.enter().append('g')\n        .attr('class', function(id) { return constants.rangePlotClassName + ' ' + id; })\n        .call(Drawing.setClipUrl, opts._clipId);\n\n    rangePlots.order();\n\n    rangePlots.exit().remove();\n\n    var mainplotinfo;\n\n    rangePlots.each(function(id, i) {\n        var plotgroup = d3.select(this),\n            isMainPlot = (i === 0);\n\n        var oppAxisOpts = Axes.getFromId(gd, id, 'y'),\n            oppAxisName = oppAxisOpts._name,\n            oppAxisRangeOpts = opts[oppAxisName];\n\n        var mockFigure = {\n            data: [],\n            layout: {\n                xaxis: {\n                    type: axisOpts.type,\n                    domain: [0, 1],\n                    range: opts.range.slice(),\n                    calendar: axisOpts.calendar\n                },\n                width: opts._width,\n                height: opts._height,\n                margin: { t: 0, b: 0, l: 0, r: 0 }\n            },\n            _context: gd._context\n        };\n\n        mockFigure.layout[oppAxisName] = {\n            type: oppAxisOpts.type,\n            domain: [0, 1],\n            range: oppAxisRangeOpts.rangemode !== 'match' ? oppAxisRangeOpts.range.slice() : oppAxisOpts.range.slice(),\n            calendar: oppAxisOpts.calendar\n        };\n\n        Plots.supplyDefaults(mockFigure);\n\n        var xa = mockFigure._fullLayout.xaxis;\n        var ya = mockFigure._fullLayout[oppAxisName];\n\n        var plotinfo = {\n            id: id,\n            plotgroup: plotgroup,\n            xaxis: xa,\n            yaxis: ya,\n            isRangePlot: true\n        };\n\n        if(isMainPlot) mainplotinfo = plotinfo;\n        else {\n            plotinfo.mainplot = 'xy';\n            plotinfo.mainplotinfo = mainplotinfo;\n        }\n\n        Cartesian.rangePlot(gd, plotinfo, filterRangePlotCalcData(calcData, id));\n    });\n}\n\nfunction filterRangePlotCalcData(calcData, subplotId) {\n    var out = [];\n\n    for(var i = 0; i < calcData.length; i++) {\n        var calcTrace = calcData[i],\n            trace = calcTrace[0].trace;\n\n        if(trace.xaxis + trace.yaxis === subplotId) {\n            out.push(calcTrace);\n        }\n    }\n\n    return out;\n}\n\nfunction drawMasks(rangeSlider, gd, axisOpts, opts, oppAxisRangeOpts) {\n    var maskMin = Lib.ensureSingle(rangeSlider, 'rect', constants.maskMinClassName, function(s) {\n        s.attr({\n            x: 0,\n            y: 0,\n            'shape-rendering': 'crispEdges'\n        });\n    });\n\n    maskMin\n        .attr('height', opts._height)\n        .call(Color.fill, constants.maskColor);\n\n    var maskMax = Lib.ensureSingle(rangeSlider, 'rect', constants.maskMaxClassName, function(s) {\n        s.attr({\n            y: 0,\n            'shape-rendering': 'crispEdges'\n        });\n    });\n\n    maskMax\n        .attr('height', opts._height)\n        .call(Color.fill, constants.maskColor);\n\n    // masks used for oppAxis zoom\n    if(oppAxisRangeOpts.rangemode !== 'match') {\n        var maskMinOppAxis = Lib.ensureSingle(rangeSlider, 'rect', constants.maskMinOppAxisClassName, function(s) {\n            s.attr({\n                y: 0,\n                'shape-rendering': 'crispEdges'\n            });\n        });\n\n        maskMinOppAxis\n            .attr('width', opts._width)\n            .call(Color.fill, constants.maskOppAxisColor);\n\n        var maskMaxOppAxis = Lib.ensureSingle(rangeSlider, 'rect', constants.maskMaxOppAxisClassName, function(s) {\n            s.attr({\n                y: 0,\n                'shape-rendering': 'crispEdges'\n            });\n        });\n\n        maskMaxOppAxis\n            .attr('width', opts._width)\n            .style('border-top', constants.maskOppBorder)\n            .call(Color.fill, constants.maskOppAxisColor);\n    }\n}\n\nfunction drawSlideBox(rangeSlider, gd, axisOpts, opts) {\n    if(gd._context.staticPlot) return;\n\n    var slideBox = Lib.ensureSingle(rangeSlider, 'rect', constants.slideBoxClassName, function(s) {\n        s.attr({\n            y: 0,\n            cursor: constants.slideBoxCursor,\n            'shape-rendering': 'crispEdges'\n        });\n    });\n\n    slideBox.attr({\n        height: opts._height,\n        fill: constants.slideBoxFill\n    });\n}\n\nfunction drawGrabbers(rangeSlider, gd, axisOpts, opts) {\n    // <g grabber />\n    var grabberMin = Lib.ensureSingle(rangeSlider, 'g', constants.grabberMinClassName);\n    var grabberMax = Lib.ensureSingle(rangeSlider, 'g', constants.grabberMaxClassName);\n\n    // <g handle />\n    var handleFixAttrs = {\n        x: 0,\n        width: constants.handleWidth,\n        rx: constants.handleRadius,\n        fill: Color.background,\n        stroke: Color.defaultLine,\n        'stroke-width': constants.handleStrokeWidth,\n        'shape-rendering': 'crispEdges'\n    };\n    var handleDynamicAttrs = {\n        y: Math.round(opts._height / 4),\n        height: Math.round(opts._height / 2),\n    };\n    var handleMin = Lib.ensureSingle(grabberMin, 'rect', constants.handleMinClassName, function(s) {\n        s.attr(handleFixAttrs);\n    });\n    handleMin.attr(handleDynamicAttrs);\n\n    var handleMax = Lib.ensureSingle(grabberMax, 'rect', constants.handleMaxClassName, function(s) {\n        s.attr(handleFixAttrs);\n    });\n    handleMax.attr(handleDynamicAttrs);\n\n    // <g grabarea />\n    if(gd._context.staticPlot) return;\n\n    var grabAreaFixAttrs = {\n        width: constants.grabAreaWidth,\n        x: 0,\n        y: 0,\n        fill: constants.grabAreaFill,\n        cursor: constants.grabAreaCursor\n    };\n\n    var grabAreaMin = Lib.ensureSingle(grabberMin, 'rect', constants.grabAreaMinClassName, function(s) {\n        s.attr(grabAreaFixAttrs);\n    });\n    grabAreaMin.attr('height', opts._height);\n\n    var grabAreaMax = Lib.ensureSingle(grabberMax, 'rect', constants.grabAreaMaxClassName, function(s) {\n        s.attr(grabAreaFixAttrs);\n    });\n    grabAreaMax.attr('height', opts._height);\n}\n\n},{\"../../lib\":696,\"../../lib/setcursor\":717,\"../../plots/cartesian\":757,\"../../plots/cartesian/axes\":745,\"../../plots/plots\":809,\"../../registry\":828,\"../color\":570,\"../dragelement\":592,\"../drawing\":595,\"../titles\":661,\"./constants\":644,\"d3\":148}],647:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar attrs = _dereq_('./attributes');\nvar oppAxisAttrs = _dereq_('./oppaxis_attributes');\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'rangeslider',\n\n    schema: {\n        subplots: {\n            xaxis: {\n                rangeslider: Lib.extendFlat({}, attrs, {\n                    yaxis: oppAxisAttrs\n                })\n            }\n        }\n    },\n\n    layoutAttributes: _dereq_('./attributes'),\n    handleDefaults: _dereq_('./defaults'),\n    calcAutorange: _dereq_('./calc_autorange'),\n    draw: _dereq_('./draw')\n};\n\n},{\"../../lib\":696,\"./attributes\":642,\"./calc_autorange\":643,\"./defaults\":645,\"./draw\":646,\"./oppaxis_attributes\":648}],648:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    // not really a 'subplot' attribute container,\n    // but this is the flag we use to denote attributes that\n    // support yaxis, yaxis2, yaxis3, ... counters\n    _isSubplotObj: true,\n\n    rangemode: {\n        valType: 'enumerated',\n        values: ['auto', 'fixed', 'match'],\n        dflt: 'match',\n        \n        editType: 'calc',\n        \n    },\n    range: {\n        valType: 'info_array',\n        \n        items: [\n            {valType: 'any', editType: 'plot'},\n            {valType: 'any', editType: 'plot'}\n        ],\n        editType: 'plot',\n        \n    },\n    editType: 'calc'\n};\n\n},{}],649:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar annAttrs = _dereq_('../annotations/attributes');\nvar scatterLineAttrs = _dereq_('../../traces/scatter/attributes').line;\nvar dash = _dereq_('../drawing/attributes').dash;\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\n\nmodule.exports = templatedArray('shape', {\n    visible: {\n        valType: 'boolean',\n        \n        dflt: true,\n        editType: 'calc+arraydraw',\n        \n    },\n\n    type: {\n        valType: 'enumerated',\n        values: ['circle', 'rect', 'path', 'line'],\n        \n        editType: 'calc+arraydraw',\n        \n    },\n\n    layer: {\n        valType: 'enumerated',\n        values: ['below', 'above'],\n        dflt: 'above',\n        \n        editType: 'arraydraw',\n        \n    },\n\n    xref: extendFlat({}, annAttrs.xref, {\n        \n    }),\n    xsizemode: {\n        valType: 'enumerated',\n        values: ['scaled', 'pixel'],\n        dflt: 'scaled',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    xanchor: {\n        valType: 'any',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    x0: {\n        valType: 'any',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    x1: {\n        valType: 'any',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n\n    yref: extendFlat({}, annAttrs.yref, {\n        \n    }),\n    ysizemode: {\n        valType: 'enumerated',\n        values: ['scaled', 'pixel'],\n        dflt: 'scaled',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    yanchor: {\n        valType: 'any',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    y0: {\n        valType: 'any',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n    y1: {\n        valType: 'any',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n\n    path: {\n        valType: 'string',\n        \n        editType: 'calc+arraydraw',\n        \n    },\n\n    opacity: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        dflt: 1,\n        \n        editType: 'arraydraw',\n        \n    },\n    line: {\n        color: extendFlat({}, scatterLineAttrs.color, {editType: 'arraydraw'}),\n        width: extendFlat({}, scatterLineAttrs.width, {editType: 'calc+arraydraw'}),\n        dash: extendFlat({}, dash, {editType: 'arraydraw'}),\n        \n        editType: 'calc+arraydraw'\n    },\n    fillcolor: {\n        valType: 'color',\n        dflt: 'rgba(0,0,0,0)',\n        \n        editType: 'arraydraw',\n        \n    },\n    editType: 'arraydraw'\n});\n\n},{\"../../lib/extend\":685,\"../../plot_api/plot_template\":735,\"../../traces/scatter/attributes\":1044,\"../annotations/attributes\":553,\"../drawing/attributes\":594}],650:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nvar constants = _dereq_('./constants');\nvar helpers = _dereq_('./helpers');\n\n\nmodule.exports = function calcAutorange(gd) {\n    var fullLayout = gd._fullLayout,\n        shapeList = Lib.filterVisible(fullLayout.shapes);\n\n    if(!shapeList.length || !gd._fullData.length) return;\n\n    for(var i = 0; i < shapeList.length; i++) {\n        var shape = shapeList[i];\n        shape._extremes = {};\n\n        var ax, bounds;\n\n        if(shape.xref !== 'paper') {\n            var vx0 = shape.xsizemode === 'pixel' ? shape.xanchor : shape.x0,\n                vx1 = shape.xsizemode === 'pixel' ? shape.xanchor : shape.x1;\n            ax = Axes.getFromId(gd, shape.xref);\n\n            bounds = shapeBounds(ax, vx0, vx1, shape.path, constants.paramIsX);\n            if(bounds) {\n                shape._extremes[ax._id] = Axes.findExtremes(ax, bounds, calcXPaddingOptions(shape));\n            }\n        }\n\n        if(shape.yref !== 'paper') {\n            var vy0 = shape.ysizemode === 'pixel' ? shape.yanchor : shape.y0,\n                vy1 = shape.ysizemode === 'pixel' ? shape.yanchor : shape.y1;\n            ax = Axes.getFromId(gd, shape.yref);\n\n            bounds = shapeBounds(ax, vy0, vy1, shape.path, constants.paramIsY);\n            if(bounds) {\n                shape._extremes[ax._id] = Axes.findExtremes(ax, bounds, calcYPaddingOptions(shape));\n            }\n        }\n    }\n};\n\nfunction calcXPaddingOptions(shape) {\n    return calcPaddingOptions(shape.line.width, shape.xsizemode, shape.x0, shape.x1, shape.path, false);\n}\n\nfunction calcYPaddingOptions(shape) {\n    return calcPaddingOptions(shape.line.width, shape.ysizemode, shape.y0, shape.y1, shape.path, true);\n}\n\nfunction calcPaddingOptions(lineWidth, sizeMode, v0, v1, path, isYAxis) {\n    var ppad = lineWidth / 2,\n        axisDirectionReverted = isYAxis;\n\n    if(sizeMode === 'pixel') {\n        var coords = path ?\n          helpers.extractPathCoords(path, isYAxis ? constants.paramIsY : constants.paramIsX) :\n          [v0, v1];\n        var maxValue = Lib.aggNums(Math.max, null, coords),\n            minValue = Lib.aggNums(Math.min, null, coords),\n            beforePad = minValue < 0 ? Math.abs(minValue) + ppad : ppad,\n            afterPad = maxValue > 0 ? maxValue + ppad : ppad;\n\n        return {\n            ppad: ppad,\n            ppadplus: axisDirectionReverted ? beforePad : afterPad,\n            ppadminus: axisDirectionReverted ? afterPad : beforePad\n        };\n    } else {\n        return {ppad: ppad};\n    }\n}\n\nfunction shapeBounds(ax, v0, v1, path, paramsToUse) {\n    var convertVal = (ax.type === 'category') ? ax.r2c : ax.d2c;\n\n    if(v0 !== undefined) return [convertVal(v0), convertVal(v1)];\n    if(!path) return;\n\n    var min = Infinity,\n        max = -Infinity,\n        segments = path.match(constants.segmentRE),\n        i,\n        segment,\n        drawnParam,\n        params,\n        val;\n\n    if(ax.type === 'date') convertVal = helpers.decodeDate(convertVal);\n\n    for(i = 0; i < segments.length; i++) {\n        segment = segments[i];\n        drawnParam = paramsToUse[segment.charAt(0)].drawn;\n        if(drawnParam === undefined) continue;\n\n        params = segments[i].substr(1).match(constants.paramRE);\n        if(!params || params.length < drawnParam) continue;\n\n        val = convertVal(params[drawnParam]);\n        if(val < min) min = val;\n        if(val > max) max = val;\n    }\n    if(max >= min) return [min, max];\n}\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"./constants\":651,\"./helpers\":654}],651:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nmodule.exports = {\n    segmentRE: /[MLHVQCTSZ][^MLHVQCTSZ]*/g,\n    paramRE: /[^\\s,]+/g,\n\n    // which numbers in each path segment are x (or y) values\n    // drawn is which param is a drawn point, as opposed to a\n    // control point (which doesn't count toward autorange.\n    // TODO: this means curved paths could extend beyond the\n    // autorange bounds. This is a bit tricky to get right\n    // unless we revert to bounding boxes, but perhaps there's\n    // a calculation we could do...)\n    paramIsX: {\n        M: {0: true, drawn: 0},\n        L: {0: true, drawn: 0},\n        H: {0: true, drawn: 0},\n        V: {},\n        Q: {0: true, 2: true, drawn: 2},\n        C: {0: true, 2: true, 4: true, drawn: 4},\n        T: {0: true, drawn: 0},\n        S: {0: true, 2: true, drawn: 2},\n        // A: {0: true, 5: true},\n        Z: {}\n    },\n\n    paramIsY: {\n        M: {1: true, drawn: 1},\n        L: {1: true, drawn: 1},\n        H: {},\n        V: {0: true, drawn: 0},\n        Q: {1: true, 3: true, drawn: 3},\n        C: {1: true, 3: true, 5: true, drawn: 5},\n        T: {1: true, drawn: 1},\n        S: {1: true, 3: true, drawn: 5},\n        // A: {1: true, 6: true},\n        Z: {}\n    },\n\n    numParams: {\n        M: 2,\n        L: 2,\n        H: 1,\n        V: 1,\n        Q: 4,\n        C: 6,\n        T: 2,\n        S: 4,\n        // A: 7,\n        Z: 0\n    }\n};\n\n},{}],652:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar handleArrayContainerDefaults = _dereq_('../../plots/array_container_defaults');\n\nvar attributes = _dereq_('./attributes');\nvar helpers = _dereq_('./helpers');\n\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut) {\n    handleArrayContainerDefaults(layoutIn, layoutOut, {\n        name: 'shapes',\n        handleItemDefaults: handleShapeDefaults\n    });\n};\n\nfunction handleShapeDefaults(shapeIn, shapeOut, fullLayout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(shapeIn, shapeOut, attributes, attr, dflt);\n    }\n\n    var visible = coerce('visible');\n\n    if(!visible) return;\n\n    coerce('layer');\n    coerce('opacity');\n    coerce('fillcolor');\n    coerce('line.color');\n    coerce('line.width');\n    coerce('line.dash');\n\n    var dfltType = shapeIn.path ? 'path' : 'rect',\n        shapeType = coerce('type', dfltType),\n        xSizeMode = coerce('xsizemode'),\n        ySizeMode = coerce('ysizemode');\n\n    // positioning\n    var axLetters = ['x', 'y'];\n    for(var i = 0; i < 2; i++) {\n        var axLetter = axLetters[i],\n            attrAnchor = axLetter + 'anchor',\n            sizeMode = axLetter === 'x' ? xSizeMode : ySizeMode,\n            gdMock = {_fullLayout: fullLayout},\n            ax,\n            pos2r,\n            r2pos;\n\n        // xref, yref\n        var axRef = Axes.coerceRef(shapeIn, shapeOut, gdMock, axLetter, '', 'paper');\n\n        if(axRef !== 'paper') {\n            ax = Axes.getFromId(gdMock, axRef);\n            ax._shapeIndices.push(shapeOut._index);\n            r2pos = helpers.rangeToShapePosition(ax);\n            pos2r = helpers.shapePositionToRange(ax);\n        }\n        else {\n            pos2r = r2pos = Lib.identity;\n        }\n\n        // Coerce x0, x1, y0, y1\n        if(shapeType !== 'path') {\n            var dflt0 = 0.25,\n                dflt1 = 0.75;\n\n            // hack until V2.0 when log has regular range behavior - make it look like other\n            // ranges to send to coerce, then put it back after\n            // this is all to give reasonable default position behavior on log axes, which is\n            // a pretty unimportant edge case so we could just ignore this.\n            var attr0 = axLetter + '0',\n                attr1 = axLetter + '1',\n                in0 = shapeIn[attr0],\n                in1 = shapeIn[attr1];\n            shapeIn[attr0] = pos2r(shapeIn[attr0], true);\n            shapeIn[attr1] = pos2r(shapeIn[attr1], true);\n\n            if(sizeMode === 'pixel') {\n                coerce(attr0, 0);\n                coerce(attr1, 10);\n            } else {\n                Axes.coercePosition(shapeOut, gdMock, coerce, axRef, attr0, dflt0);\n                Axes.coercePosition(shapeOut, gdMock, coerce, axRef, attr1, dflt1);\n            }\n\n            // hack part 2\n            shapeOut[attr0] = r2pos(shapeOut[attr0]);\n            shapeOut[attr1] = r2pos(shapeOut[attr1]);\n            shapeIn[attr0] = in0;\n            shapeIn[attr1] = in1;\n        }\n\n        // Coerce xanchor and yanchor\n        if(sizeMode === 'pixel') {\n            // Hack for log axis described above\n            var inAnchor = shapeIn[attrAnchor];\n            shapeIn[attrAnchor] = pos2r(shapeIn[attrAnchor], true);\n\n            Axes.coercePosition(shapeOut, gdMock, coerce, axRef, attrAnchor, 0.25);\n\n            // Hack part 2\n            shapeOut[attrAnchor] = r2pos(shapeOut[attrAnchor]);\n            shapeIn[attrAnchor] = inAnchor;\n        }\n    }\n\n    if(shapeType === 'path') {\n        coerce('path');\n    }\n    else {\n        Lib.noneOrAll(shapeIn, shapeOut, ['x0', 'x1', 'y0', 'y1']);\n    }\n}\n\n},{\"../../lib\":696,\"../../plots/array_container_defaults\":741,\"../../plots/cartesian/axes\":745,\"./attributes\":649,\"./helpers\":654}],653:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Color = _dereq_('../color');\nvar Drawing = _dereq_('../drawing');\nvar arrayEditor = _dereq_('../../plot_api/plot_template').arrayEditor;\n\nvar dragElement = _dereq_('../dragelement');\nvar setCursor = _dereq_('../../lib/setcursor');\n\nvar constants = _dereq_('./constants');\nvar helpers = _dereq_('./helpers');\n\n\n// Shapes are stored in gd.layout.shapes, an array of objects\n// index can point to one item in this array,\n//  or non-numeric to simply add a new one\n//  or -1 to modify all existing\n// opt can be the full options object, or one key (to be set to value)\n//  or undefined to simply redraw\n// if opt is blank, val can be 'add' or a full options object to add a new\n//  annotation at that point in the array, or 'remove' to delete this one\n\nmodule.exports = {\n    draw: draw,\n    drawOne: drawOne\n};\n\nfunction draw(gd) {\n    var fullLayout = gd._fullLayout;\n\n    // Remove previous shapes before drawing new in shapes in fullLayout.shapes\n    fullLayout._shapeUpperLayer.selectAll('path').remove();\n    fullLayout._shapeLowerLayer.selectAll('path').remove();\n\n    for(var k in fullLayout._plots) {\n        var shapelayer = fullLayout._plots[k].shapelayer;\n        if(shapelayer) shapelayer.selectAll('path').remove();\n    }\n\n    for(var i = 0; i < fullLayout.shapes.length; i++) {\n        if(fullLayout.shapes[i].visible) {\n            drawOne(gd, i);\n        }\n    }\n\n    // may need to resurrect this if we put text (LaTeX) in shapes\n    // return Plots.previousPromises(gd);\n}\n\nfunction drawOne(gd, index) {\n    // remove the existing shape if there is one.\n    // because indices can change, we need to look in all shape layers\n    gd._fullLayout._paperdiv\n        .selectAll('.shapelayer [data-index=\"' + index + '\"]')\n        .remove();\n\n    var options = gd._fullLayout.shapes[index] || {};\n\n    // this shape is gone - quit now after deleting it\n    // TODO: use d3 idioms instead of deleting and redrawing every time\n    if(!options._input || options.visible === false) return;\n\n    if(options.layer !== 'below') {\n        drawShape(gd._fullLayout._shapeUpperLayer);\n    }\n    else if(options.xref === 'paper' || options.yref === 'paper') {\n        drawShape(gd._fullLayout._shapeLowerLayer);\n    }\n    else {\n        var plotinfo = gd._fullLayout._plots[options.xref + options.yref];\n        if(plotinfo) {\n            var mainPlot = plotinfo.mainplotinfo || plotinfo;\n            drawShape(mainPlot.shapelayer);\n        }\n        else {\n            // Fall back to _shapeLowerLayer in case the requested subplot doesn't exist.\n            // This can happen if you reference the shape to an x / y axis combination\n            // that doesn't have any data on it (and layer is below)\n            drawShape(gd._fullLayout._shapeLowerLayer);\n        }\n    }\n\n    function drawShape(shapeLayer) {\n        var attrs = {\n                'data-index': index,\n                'fill-rule': 'evenodd',\n                d: getPathString(gd, options)\n            },\n            lineColor = options.line.width ?\n                options.line.color : 'rgba(0,0,0,0)';\n\n        var path = shapeLayer.append('path')\n            .attr(attrs)\n            .style('opacity', options.opacity)\n            .call(Color.stroke, lineColor)\n            .call(Color.fill, options.fillcolor)\n            .call(Drawing.dashLine, options.line.dash, options.line.width);\n\n        setClipPath(path, gd, options);\n\n        if(gd._context.edits.shapePosition) setupDragElement(gd, path, options, index, shapeLayer);\n    }\n}\n\nfunction setClipPath(shapePath, gd, shapeOptions) {\n    // note that for layer=\"below\" the clipAxes can be different from the\n    // subplot we're drawing this in. This could cause problems if the shape\n    // spans two subplots. See https://github.com/plotly/plotly.js/issues/1452\n    var clipAxes = (shapeOptions.xref + shapeOptions.yref).replace(/paper/g, '');\n\n    shapePath.call(Drawing.setClipUrl, clipAxes ?\n      ('clip' + gd._fullLayout._uid + clipAxes) :\n      null\n    );\n}\n\nfunction setupDragElement(gd, shapePath, shapeOptions, index, shapeLayer) {\n    var MINWIDTH = 10;\n    var MINHEIGHT = 10;\n\n    var xPixelSized = shapeOptions.xsizemode === 'pixel';\n    var yPixelSized = shapeOptions.ysizemode === 'pixel';\n    var isLine = shapeOptions.type === 'line';\n    var isPath = shapeOptions.type === 'path';\n\n    var editHelpers = arrayEditor(gd.layout, 'shapes', shapeOptions);\n    var modifyItem = editHelpers.modifyItem;\n\n    var x0, y0, x1, y1, xAnchor, yAnchor;\n    var n0, s0, w0, e0, optN, optS, optW, optE;\n    var pathIn;\n\n    // setup conversion functions\n    var xa = Axes.getFromId(gd, shapeOptions.xref),\n        ya = Axes.getFromId(gd, shapeOptions.yref),\n        x2p = helpers.getDataToPixel(gd, xa),\n        y2p = helpers.getDataToPixel(gd, ya, true),\n        p2x = helpers.getPixelToData(gd, xa),\n        p2y = helpers.getPixelToData(gd, ya, true);\n\n    var sensoryElement = obtainSensoryElement();\n    var dragOptions = {\n            element: sensoryElement.node(),\n            gd: gd,\n            prepFn: startDrag,\n            doneFn: endDrag,\n            clickFn: abortDrag\n        },\n        dragMode;\n\n    dragElement.init(dragOptions);\n\n    sensoryElement.node().onmousemove = updateDragMode;\n\n    function obtainSensoryElement() {\n        return isLine ? createLineDragHandles() : shapePath;\n    }\n\n    function createLineDragHandles() {\n        var minSensoryWidth = 10,\n            sensoryWidth = Math.max(shapeOptions.line.width, minSensoryWidth);\n\n        // Helper shapes group\n        // Note that by setting the `data-index` attr, it is ensured that\n        // the helper group is purged in this modules `draw` function\n        var g = shapeLayer.append('g')\n          .attr('data-index', index);\n\n        // Helper path for moving\n        g.append('path')\n          .attr('d', shapePath.attr('d'))\n          .style({\n              'cursor': 'move',\n              'stroke-width': sensoryWidth,\n              'stroke-opacity': '0' // ensure not visible\n          });\n\n        // Helper circles for resizing\n        var circleStyle = {\n            'fill-opacity': '0' // ensure not visible\n        };\n        var circleRadius = sensoryWidth / 2 > minSensoryWidth ? sensoryWidth / 2 : minSensoryWidth;\n\n        g.append('circle')\n          .attr({\n              'data-line-point': 'start-point',\n              'cx': xPixelSized ? x2p(shapeOptions.xanchor) + shapeOptions.x0 : x2p(shapeOptions.x0),\n              'cy': yPixelSized ? y2p(shapeOptions.yanchor) - shapeOptions.y0 : y2p(shapeOptions.y0),\n              'r': circleRadius\n          })\n          .style(circleStyle)\n          .classed('cursor-grab', true);\n\n        g.append('circle')\n          .attr({\n              'data-line-point': 'end-point',\n              'cx': xPixelSized ? x2p(shapeOptions.xanchor) + shapeOptions.x1 : x2p(shapeOptions.x1),\n              'cy': yPixelSized ? y2p(shapeOptions.yanchor) - shapeOptions.y1 : y2p(shapeOptions.y1),\n              'r': circleRadius\n          })\n          .style(circleStyle)\n          .classed('cursor-grab', true);\n\n        return g;\n    }\n\n    function updateDragMode(evt) {\n        if(isLine) {\n            if(evt.target.tagName === 'path') {\n                dragMode = 'move';\n            } else {\n                dragMode = evt.target.attributes['data-line-point'].value === 'start-point' ?\n                  'resize-over-start-point' : 'resize-over-end-point';\n            }\n        } else {\n            // element might not be on screen at time of setup,\n            // so obtain bounding box here\n            var dragBBox = dragOptions.element.getBoundingClientRect();\n\n            // choose 'move' or 'resize'\n            // based on initial position of cursor within the drag element\n            var w = dragBBox.right - dragBBox.left,\n                h = dragBBox.bottom - dragBBox.top,\n                x = evt.clientX - dragBBox.left,\n                y = evt.clientY - dragBBox.top,\n                cursor = (!isPath && w > MINWIDTH && h > MINHEIGHT && !evt.shiftKey) ?\n                    dragElement.getCursor(x / w, 1 - y / h) :\n                    'move';\n\n            setCursor(shapePath, cursor);\n\n            // possible values 'move', 'sw', 'w', 'se', 'e', 'ne', 'n', 'nw' and 'w'\n            dragMode = cursor.split('-')[0];\n        }\n    }\n\n    function startDrag(evt) {\n        // setup update strings and initial values\n        if(xPixelSized) {\n            xAnchor = x2p(shapeOptions.xanchor);\n        }\n        if(yPixelSized) {\n            yAnchor = y2p(shapeOptions.yanchor);\n        }\n\n        if(shapeOptions.type === 'path') {\n            pathIn = shapeOptions.path;\n        }\n        else {\n            x0 = xPixelSized ? shapeOptions.x0 : x2p(shapeOptions.x0);\n            y0 = yPixelSized ? shapeOptions.y0 : y2p(shapeOptions.y0);\n            x1 = xPixelSized ? shapeOptions.x1 : x2p(shapeOptions.x1);\n            y1 = yPixelSized ? shapeOptions.y1 : y2p(shapeOptions.y1);\n        }\n\n        if(x0 < x1) {\n            w0 = x0;\n            optW = 'x0';\n            e0 = x1;\n            optE = 'x1';\n        }\n        else {\n            w0 = x1;\n            optW = 'x1';\n            e0 = x0;\n            optE = 'x0';\n        }\n\n        // For fixed size shapes take opposing direction of y-axis into account.\n        // Hint: For data sized shapes this is done by the y2p function.\n        if((!yPixelSized && y0 < y1) || (yPixelSized && y0 > y1)) {\n            n0 = y0;\n            optN = 'y0';\n            s0 = y1;\n            optS = 'y1';\n        }\n        else {\n            n0 = y1;\n            optN = 'y1';\n            s0 = y0;\n            optS = 'y0';\n        }\n\n        // setup dragMode and the corresponding handler\n        updateDragMode(evt);\n        renderVisualCues(shapeLayer, shapeOptions);\n        deactivateClipPathTemporarily(shapePath, shapeOptions, gd);\n        dragOptions.moveFn = (dragMode === 'move') ? moveShape : resizeShape;\n    }\n\n    function endDrag() {\n        setCursor(shapePath);\n        removeVisualCues(shapeLayer);\n\n        // Don't rely on clipPath being activated during re-layout\n        setClipPath(shapePath, gd, shapeOptions);\n        Registry.call('relayout', gd, editHelpers.getUpdateObj());\n    }\n\n    function abortDrag() {\n        removeVisualCues(shapeLayer);\n    }\n\n    function moveShape(dx, dy) {\n        if(shapeOptions.type === 'path') {\n            var noOp = function(coord) { return coord; },\n                moveX = noOp,\n                moveY = noOp;\n\n            if(xPixelSized) {\n                modifyItem('xanchor', shapeOptions.xanchor = p2x(xAnchor + dx));\n            } else {\n                moveX = function moveX(x) { return p2x(x2p(x) + dx); };\n                if(xa && xa.type === 'date') moveX = helpers.encodeDate(moveX);\n            }\n\n            if(yPixelSized) {\n                modifyItem('yanchor', shapeOptions.yanchor = p2y(yAnchor + dy));\n            } else {\n                moveY = function moveY(y) { return p2y(y2p(y) + dy); };\n                if(ya && ya.type === 'date') moveY = helpers.encodeDate(moveY);\n            }\n\n            modifyItem('path', shapeOptions.path = movePath(pathIn, moveX, moveY));\n        }\n        else {\n            if(xPixelSized) {\n                modifyItem('xanchor', shapeOptions.xanchor = p2x(xAnchor + dx));\n            } else {\n                modifyItem('x0', shapeOptions.x0 = p2x(x0 + dx));\n                modifyItem('x1', shapeOptions.x1 = p2x(x1 + dx));\n            }\n\n            if(yPixelSized) {\n                modifyItem('yanchor', shapeOptions.yanchor = p2y(yAnchor + dy));\n            } else {\n                modifyItem('y0', shapeOptions.y0 = p2y(y0 + dy));\n                modifyItem('y1', shapeOptions.y1 = p2y(y1 + dy));\n            }\n        }\n\n        shapePath.attr('d', getPathString(gd, shapeOptions));\n        renderVisualCues(shapeLayer, shapeOptions);\n    }\n\n    function resizeShape(dx, dy) {\n        if(isPath) {\n            // TODO: implement path resize, don't forget to update dragMode code\n            var noOp = function(coord) { return coord; },\n                moveX = noOp,\n                moveY = noOp;\n\n            if(xPixelSized) {\n                modifyItem('xanchor', shapeOptions.xanchor = p2x(xAnchor + dx));\n            } else {\n                moveX = function moveX(x) { return p2x(x2p(x) + dx); };\n                if(xa && xa.type === 'date') moveX = helpers.encodeDate(moveX);\n            }\n\n            if(yPixelSized) {\n                modifyItem('yanchor', shapeOptions.yanchor = p2y(yAnchor + dy));\n            } else {\n                moveY = function moveY(y) { return p2y(y2p(y) + dy); };\n                if(ya && ya.type === 'date') moveY = helpers.encodeDate(moveY);\n            }\n\n            modifyItem('path', shapeOptions.path = movePath(pathIn, moveX, moveY));\n        }\n        else if(isLine) {\n            if(dragMode === 'resize-over-start-point') {\n                var newX0 = x0 + dx;\n                var newY0 = yPixelSized ? y0 - dy : y0 + dy;\n                modifyItem('x0', shapeOptions.x0 = xPixelSized ? newX0 : p2x(newX0));\n                modifyItem('y0', shapeOptions.y0 = yPixelSized ? newY0 : p2y(newY0));\n            } else if(dragMode === 'resize-over-end-point') {\n                var newX1 = x1 + dx;\n                var newY1 = yPixelSized ? y1 - dy : y1 + dy;\n                modifyItem('x1', shapeOptions.x1 = xPixelSized ? newX1 : p2x(newX1));\n                modifyItem('y1', shapeOptions.y1 = yPixelSized ? newY1 : p2y(newY1));\n            }\n        }\n        else {\n            var newN = (~dragMode.indexOf('n')) ? n0 + dy : n0,\n                newS = (~dragMode.indexOf('s')) ? s0 + dy : s0,\n                newW = (~dragMode.indexOf('w')) ? w0 + dx : w0,\n                newE = (~dragMode.indexOf('e')) ? e0 + dx : e0;\n\n            // Do things in opposing direction for y-axis.\n            // Hint: for data-sized shapes the reversal of axis direction is done in p2y.\n            if(~dragMode.indexOf('n') && yPixelSized) newN = n0 - dy;\n            if(~dragMode.indexOf('s') && yPixelSized) newS = s0 - dy;\n\n            // Update shape eventually. Again, be aware of the\n            // opposing direction of the y-axis of fixed size shapes.\n            if((!yPixelSized && newS - newN > MINHEIGHT) ||\n              (yPixelSized && newN - newS > MINHEIGHT)) {\n                modifyItem(optN, shapeOptions[optN] = yPixelSized ? newN : p2y(newN));\n                modifyItem(optS, shapeOptions[optS] = yPixelSized ? newS : p2y(newS));\n            }\n            if(newE - newW > MINWIDTH) {\n                modifyItem(optW, shapeOptions[optW] = xPixelSized ? newW : p2x(newW));\n                modifyItem(optE, shapeOptions[optE] = xPixelSized ? newE : p2x(newE));\n            }\n        }\n\n        shapePath.attr('d', getPathString(gd, shapeOptions));\n        renderVisualCues(shapeLayer, shapeOptions);\n    }\n\n    function renderVisualCues(shapeLayer, shapeOptions) {\n        if(xPixelSized || yPixelSized) {\n            renderAnchor();\n        }\n\n        function renderAnchor() {\n            var isNotPath = shapeOptions.type !== 'path';\n\n            // d3 join with dummy data to satisfy d3 data-binding\n            var visualCues = shapeLayer.selectAll('.visual-cue').data([0]);\n\n            // Enter\n            var strokeWidth = 1;\n            visualCues.enter()\n              .append('path')\n              .attr({\n                  'fill': '#fff',\n                  'fill-rule': 'evenodd',\n                  'stroke': '#000',\n                  'stroke-width': strokeWidth\n              })\n              .classed('visual-cue', true);\n\n            // Update\n            var posX = x2p(\n              xPixelSized ?\n                shapeOptions.xanchor :\n                Lib.midRange(\n                  isNotPath ?\n                    [shapeOptions.x0, shapeOptions.x1] :\n                    helpers.extractPathCoords(shapeOptions.path, constants.paramIsX))\n            );\n            var posY = y2p(\n              yPixelSized ?\n                shapeOptions.yanchor :\n                Lib.midRange(\n                  isNotPath ?\n                    [shapeOptions.y0, shapeOptions.y1] :\n                    helpers.extractPathCoords(shapeOptions.path, constants.paramIsY))\n            );\n\n            posX = helpers.roundPositionForSharpStrokeRendering(posX, strokeWidth);\n            posY = helpers.roundPositionForSharpStrokeRendering(posY, strokeWidth);\n\n            if(xPixelSized && yPixelSized) {\n                var crossPath = 'M' + (posX - 1 - strokeWidth) + ',' + (posY - 1 - strokeWidth) +\n                  'h-8v2h8 v8h2v-8 h8v-2h-8 v-8h-2 Z';\n                visualCues.attr('d', crossPath);\n            } else if(xPixelSized) {\n                var vBarPath = 'M' + (posX - 1 - strokeWidth) + ',' + (posY - 9 - strokeWidth) +\n                  'v18 h2 v-18 Z';\n                visualCues.attr('d', vBarPath);\n            } else {\n                var hBarPath = 'M' + (posX - 9 - strokeWidth) + ',' + (posY - 1 - strokeWidth) +\n                  'h18 v2 h-18 Z';\n                visualCues.attr('d', hBarPath);\n            }\n        }\n    }\n\n    function removeVisualCues(shapeLayer) {\n        shapeLayer.selectAll('.visual-cue').remove();\n    }\n\n    function deactivateClipPathTemporarily(shapePath, shapeOptions, gd) {\n        var xref = shapeOptions.xref,\n            yref = shapeOptions.yref,\n            xa = Axes.getFromId(gd, xref),\n            ya = Axes.getFromId(gd, yref);\n\n        var clipAxes = '';\n        if(xref !== 'paper' && !xa.autorange) clipAxes += xref;\n        if(yref !== 'paper' && !ya.autorange) clipAxes += yref;\n\n        shapePath.call(Drawing.setClipUrl, clipAxes ?\n          'clip' + gd._fullLayout._uid + clipAxes :\n          null\n        );\n    }\n}\n\nfunction getPathString(gd, options) {\n    var type = options.type,\n        xa = Axes.getFromId(gd, options.xref),\n        ya = Axes.getFromId(gd, options.yref),\n        gs = gd._fullLayout._size,\n        x2r, x2p, y2r, y2p,\n        x0, x1, y0, y1;\n\n    if(xa) {\n        x2r = helpers.shapePositionToRange(xa);\n        x2p = function(v) { return xa._offset + xa.r2p(x2r(v, true)); };\n    }\n    else {\n        x2p = function(v) { return gs.l + gs.w * v; };\n    }\n\n    if(ya) {\n        y2r = helpers.shapePositionToRange(ya);\n        y2p = function(v) { return ya._offset + ya.r2p(y2r(v, true)); };\n    }\n    else {\n        y2p = function(v) { return gs.t + gs.h * (1 - v); };\n    }\n\n    if(type === 'path') {\n        if(xa && xa.type === 'date') x2p = helpers.decodeDate(x2p);\n        if(ya && ya.type === 'date') y2p = helpers.decodeDate(y2p);\n        return convertPath(options, x2p, y2p);\n    }\n\n    if(options.xsizemode === 'pixel') {\n        var xAnchorPos = x2p(options.xanchor);\n        x0 = xAnchorPos + options.x0;\n        x1 = xAnchorPos + options.x1;\n    }\n    else {\n        x0 = x2p(options.x0);\n        x1 = x2p(options.x1);\n    }\n\n    if(options.ysizemode === 'pixel') {\n        var yAnchorPos = y2p(options.yanchor);\n        y0 = yAnchorPos - options.y0;\n        y1 = yAnchorPos - options.y1;\n    }\n    else {\n        y0 = y2p(options.y0);\n        y1 = y2p(options.y1);\n    }\n\n    if(type === 'line') return 'M' + x0 + ',' + y0 + 'L' + x1 + ',' + y1;\n    if(type === 'rect') return 'M' + x0 + ',' + y0 + 'H' + x1 + 'V' + y1 + 'H' + x0 + 'Z';\n    // circle\n    var cx = (x0 + x1) / 2,\n        cy = (y0 + y1) / 2,\n        rx = Math.abs(cx - x0),\n        ry = Math.abs(cy - y0),\n        rArc = 'A' + rx + ',' + ry,\n        rightPt = (cx + rx) + ',' + cy,\n        topPt = cx + ',' + (cy - ry);\n    return 'M' + rightPt + rArc + ' 0 1,1 ' + topPt +\n        rArc + ' 0 0,1 ' + rightPt + 'Z';\n}\n\n\nfunction convertPath(options, x2p, y2p) {\n    var pathIn = options.path,\n        xSizemode = options.xsizemode,\n        ySizemode = options.ysizemode,\n        xAnchor = options.xanchor,\n        yAnchor = options.yanchor;\n\n\n    return pathIn.replace(constants.segmentRE, function(segment) {\n        var paramNumber = 0,\n            segmentType = segment.charAt(0),\n            xParams = constants.paramIsX[segmentType],\n            yParams = constants.paramIsY[segmentType],\n            nParams = constants.numParams[segmentType];\n\n        var paramString = segment.substr(1).replace(constants.paramRE, function(param) {\n            if(xParams[paramNumber]) {\n                if(xSizemode === 'pixel') param = x2p(xAnchor) + Number(param);\n                else param = x2p(param);\n            }\n            else if(yParams[paramNumber]) {\n                if(ySizemode === 'pixel') param = y2p(yAnchor) - Number(param);\n                else param = y2p(param);\n            }\n            paramNumber++;\n\n            if(paramNumber > nParams) param = 'X';\n            return param;\n        });\n\n        if(paramNumber > nParams) {\n            paramString = paramString.replace(/[\\s,]*X.*/, '');\n            Lib.log('Ignoring extra params in segment ' + segment);\n        }\n\n        return segmentType + paramString;\n    });\n}\n\nfunction movePath(pathIn, moveX, moveY) {\n    return pathIn.replace(constants.segmentRE, function(segment) {\n        var paramNumber = 0,\n            segmentType = segment.charAt(0),\n            xParams = constants.paramIsX[segmentType],\n            yParams = constants.paramIsY[segmentType],\n            nParams = constants.numParams[segmentType];\n\n        var paramString = segment.substr(1).replace(constants.paramRE, function(param) {\n            if(paramNumber >= nParams) return param;\n\n            if(xParams[paramNumber]) param = moveX(param);\n            else if(yParams[paramNumber]) param = moveY(param);\n\n            paramNumber++;\n\n            return param;\n        });\n\n        return segmentType + paramString;\n    });\n}\n\n},{\"../../lib\":696,\"../../lib/setcursor\":717,\"../../plot_api/plot_template\":735,\"../../plots/cartesian/axes\":745,\"../../registry\":828,\"../color\":570,\"../dragelement\":592,\"../drawing\":595,\"./constants\":651,\"./helpers\":654}],654:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar constants = _dereq_('./constants');\n\nvar Lib = _dereq_('../../lib');\n\n// special position conversion functions... category axis positions can't be\n// specified by their data values, because they don't make a continuous mapping.\n// so these have to be specified in terms of the category serial numbers,\n// but can take fractional values. Other axis types we specify position based on\n// the actual data values.\n// TODO: in V2.0 (when log axis ranges are in data units) range and shape position\n// will be identical, so rangeToShapePosition and shapePositionToRange can be\n// removed entirely.\n\nexports.rangeToShapePosition = function(ax) {\n    return (ax.type === 'log') ? ax.r2d : function(v) { return v; };\n};\n\nexports.shapePositionToRange = function(ax) {\n    return (ax.type === 'log') ? ax.d2r : function(v) { return v; };\n};\n\nexports.decodeDate = function(convertToPx) {\n    return function(v) {\n        if(v.replace) v = v.replace('_', ' ');\n        return convertToPx(v);\n    };\n};\n\nexports.encodeDate = function(convertToDate) {\n    return function(v) { return convertToDate(v).replace(' ', '_'); };\n};\n\nexports.extractPathCoords = function(path, paramsToUse) {\n    var extractedCoordinates = [];\n\n    var segments = path.match(constants.segmentRE);\n    segments.forEach(function(segment) {\n        var relevantParamIdx = paramsToUse[segment.charAt(0)].drawn;\n        if(relevantParamIdx === undefined) return;\n\n        var params = segment.substr(1).match(constants.paramRE);\n        if(!params || params.length < relevantParamIdx) return;\n\n        extractedCoordinates.push(Lib.cleanNumber(params[relevantParamIdx]));\n    });\n\n    return extractedCoordinates;\n};\n\nexports.getDataToPixel = function(gd, axis, isVertical) {\n    var gs = gd._fullLayout._size,\n        dataToPixel;\n\n    if(axis) {\n        var d2r = exports.shapePositionToRange(axis);\n\n        dataToPixel = function(v) {\n            return axis._offset + axis.r2p(d2r(v, true));\n        };\n\n        if(axis.type === 'date') dataToPixel = exports.decodeDate(dataToPixel);\n    }\n    else if(isVertical) {\n        dataToPixel = function(v) { return gs.t + gs.h * (1 - v); };\n    }\n    else {\n        dataToPixel = function(v) { return gs.l + gs.w * v; };\n    }\n\n    return dataToPixel;\n};\n\nexports.getPixelToData = function(gd, axis, isVertical) {\n    var gs = gd._fullLayout._size,\n        pixelToData;\n\n    if(axis) {\n        var r2d = exports.rangeToShapePosition(axis);\n        pixelToData = function(p) { return r2d(axis.p2r(p - axis._offset)); };\n    }\n    else if(isVertical) {\n        pixelToData = function(p) { return 1 - (p - gs.t) / gs.h; };\n    }\n    else {\n        pixelToData = function(p) { return (p - gs.l) / gs.w; };\n    }\n\n    return pixelToData;\n};\n\n/**\n * Based on the given stroke width, rounds the passed\n * position value to represent either a full or half pixel.\n *\n * In case of an odd stroke width (e.g. 1), this measure ensures\n * that a stroke positioned at the returned position isn't rendered\n * blurry due to anti-aliasing.\n *\n * In case of an even stroke width (e.g. 2), this measure ensures\n * that the position value is transformed to a full pixel value\n * so that anti-aliasing doesn't take effect either.\n *\n * @param {number} pos The raw position value to be transformed\n * @param {number} strokeWidth The stroke width\n * @returns {number} either an integer or a .5 decimal number\n */\nexports.roundPositionForSharpStrokeRendering = function(pos, strokeWidth) {\n    var strokeWidthIsOdd = Math.round(strokeWidth % 2) === 1;\n    var posValAsInt = Math.round(pos);\n\n    return strokeWidthIsOdd ? posValAsInt + 0.5 : posValAsInt;\n};\n\n},{\"../../lib\":696,\"./constants\":651}],655:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar drawModule = _dereq_('./draw');\n\nmodule.exports = {\n    moduleType: 'component',\n    name: 'shapes',\n\n    layoutAttributes: _dereq_('./attributes'),\n    supplyLayoutDefaults: _dereq_('./defaults'),\n    includeBasePlot: _dereq_('../../plots/cartesian/include_components')('shapes'),\n\n    calcAutorange: _dereq_('./calc_autorange'),\n    draw: drawModule.draw,\n    drawOne: drawModule.drawOne\n};\n\n},{\"../../plots/cartesian/include_components\":756,\"./attributes\":649,\"./calc_autorange\":650,\"./defaults\":652,\"./draw\":653}],656:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar padAttrs = _dereq_('../../plots/pad_attributes');\nvar extendDeepAll = _dereq_('../../lib/extend').extendDeepAll;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\nvar animationAttrs = _dereq_('../../plots/animation_attributes');\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\nvar constants = _dereq_('./constants');\n\nvar stepsAttrs = templatedArray('step', {\n    visible: {\n        valType: 'boolean',\n        \n        dflt: true,\n        \n    },\n    method: {\n        valType: 'enumerated',\n        values: ['restyle', 'relayout', 'animate', 'update', 'skip'],\n        dflt: 'restyle',\n        \n        \n    },\n    args: {\n        valType: 'info_array',\n        \n        freeLength: true,\n        items: [\n            { valType: 'any' },\n            { valType: 'any' },\n            { valType: 'any' }\n        ],\n        \n    },\n    label: {\n        valType: 'string',\n        \n        \n    },\n    value: {\n        valType: 'string',\n        \n        \n    },\n    execute: {\n        valType: 'boolean',\n        \n        dflt: true,\n        \n    }\n});\n\nmodule.exports = overrideAll(templatedArray('slider', {\n    visible: {\n        valType: 'boolean',\n        \n        dflt: true,\n        \n    },\n\n    active: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 0,\n        \n    },\n\n    steps: stepsAttrs,\n\n    lenmode: {\n        valType: 'enumerated',\n        values: ['fraction', 'pixels'],\n        \n        dflt: 'fraction',\n        \n    },\n    len: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        \n    },\n    x: {\n        valType: 'number',\n        min: -2,\n        max: 3,\n        dflt: 0,\n        \n        \n    },\n    pad: extendDeepAll({}, padAttrs, {\n        \n    }, {t: {dflt: 20}}),\n    xanchor: {\n        valType: 'enumerated',\n        values: ['auto', 'left', 'center', 'right'],\n        dflt: 'left',\n        \n        \n    },\n    y: {\n        valType: 'number',\n        min: -2,\n        max: 3,\n        dflt: 0,\n        \n        \n    },\n    yanchor: {\n        valType: 'enumerated',\n        values: ['auto', 'top', 'middle', 'bottom'],\n        dflt: 'top',\n        \n        \n    },\n\n    transition: {\n        duration: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 150,\n            \n        },\n        easing: {\n            valType: 'enumerated',\n            values: animationAttrs.transition.easing.values,\n            \n            dflt: 'cubic-in-out',\n            \n        }\n    },\n\n    currentvalue: {\n        visible: {\n            valType: 'boolean',\n            \n            dflt: true,\n            \n        },\n\n        xanchor: {\n            valType: 'enumerated',\n            values: ['left', 'center', 'right'],\n            dflt: 'left',\n            \n            \n        },\n\n        offset: {\n            valType: 'number',\n            dflt: 10,\n            \n            \n        },\n\n        prefix: {\n            valType: 'string',\n            \n            \n        },\n\n        suffix: {\n            valType: 'string',\n            \n            \n        },\n\n        font: fontAttrs({\n            \n        })\n    },\n\n    font: fontAttrs({\n        \n    }),\n\n    activebgcolor: {\n        valType: 'color',\n        \n        dflt: constants.gripBgActiveColor,\n        \n    },\n    bgcolor: {\n        valType: 'color',\n        \n        dflt: constants.railBgColor,\n        \n    },\n    bordercolor: {\n        valType: 'color',\n        dflt: constants.railBorderColor,\n        \n        \n    },\n    borderwidth: {\n        valType: 'number',\n        min: 0,\n        dflt: constants.railBorderWidth,\n        \n        \n    },\n    ticklen: {\n        valType: 'number',\n        min: 0,\n        dflt: constants.tickLength,\n        \n        \n    },\n    tickcolor: {\n        valType: 'color',\n        dflt: constants.tickColor,\n        \n        \n    },\n    tickwidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        \n    },\n    minorticklen: {\n        valType: 'number',\n        min: 0,\n        dflt: constants.minorTickLength,\n        \n        \n    }\n}), 'arraydraw', 'from-root');\n\n},{\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../../plot_api/plot_template\":735,\"../../plots/animation_attributes\":740,\"../../plots/font_attributes\":772,\"../../plots/pad_attributes\":808,\"./constants\":657}],657:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nmodule.exports = {\n\n    // layout attribute name\n    name: 'sliders',\n\n    // class names\n    containerClassName: 'slider-container',\n    groupClassName: 'slider-group',\n    inputAreaClass: 'slider-input-area',\n    railRectClass: 'slider-rail-rect',\n    railTouchRectClass: 'slider-rail-touch-rect',\n    gripRectClass: 'slider-grip-rect',\n    tickRectClass: 'slider-tick-rect',\n    inputProxyClass: 'slider-input-proxy',\n    labelsClass: 'slider-labels',\n    labelGroupClass: 'slider-label-group',\n    labelClass: 'slider-label',\n    currentValueClass: 'slider-current-value',\n\n    railHeight: 5,\n\n    // DOM attribute name in button group keeping track\n    // of active update menu\n    menuIndexAttrName: 'slider-active-index',\n\n    // id root pass to Plots.autoMargin\n    autoMarginIdRoot: 'slider-',\n\n    // min item width / height\n    minWidth: 30,\n    minHeight: 30,\n\n    // padding around item text\n    textPadX: 40,\n\n    // arrow offset off right edge\n    arrowOffsetX: 4,\n\n    railRadius: 2,\n    railWidth: 5,\n    railBorder: 4,\n    railBorderWidth: 1,\n    railBorderColor: '#bec8d9',\n    railBgColor: '#f8fafc',\n\n    // The distance of the rail from the edge of the touchable area\n    // Slightly less than the step inset because of the curved edges\n    // of the rail\n    railInset: 8,\n\n    // The distance from the extremal tick marks to the edge of the\n    // touchable area. This is basically the same as the grip radius,\n    // but for other styles it wouldn't really need to be.\n    stepInset: 10,\n\n    gripRadius: 10,\n    gripWidth: 20,\n    gripHeight: 20,\n    gripBorder: 20,\n    gripBorderWidth: 1,\n    gripBorderColor: '#bec8d9',\n    gripBgColor: '#f6f8fa',\n    gripBgActiveColor: '#dbdde0',\n\n    labelPadding: 8,\n    labelOffset: 0,\n\n    tickWidth: 1,\n    tickColor: '#333',\n    tickOffset: 25,\n    tickLength: 7,\n\n    minorTickOffset: 25,\n    minorTickColor: '#333',\n    minorTickLength: 4,\n\n    // Extra space below the current value label:\n    currentValuePadding: 8,\n    currentValueInset: 0,\n};\n\n},{}],658:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar handleArrayContainerDefaults = _dereq_('../../plots/array_container_defaults');\n\nvar attributes = _dereq_('./attributes');\nvar constants = _dereq_('./constants');\n\nvar name = constants.name;\nvar stepAttrs = attributes.steps;\n\n\nmodule.exports = function slidersDefaults(layoutIn, layoutOut) {\n    handleArrayContainerDefaults(layoutIn, layoutOut, {\n        name: name,\n        handleItemDefaults: sliderDefaults\n    });\n};\n\nfunction sliderDefaults(sliderIn, sliderOut, layoutOut) {\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(sliderIn, sliderOut, attributes, attr, dflt);\n    }\n\n    var steps = handleArrayContainerDefaults(sliderIn, sliderOut, {\n        name: 'steps',\n        handleItemDefaults: stepDefaults\n    });\n\n    var stepCount = 0;\n    for(var i = 0; i < steps.length; i++) {\n        if(steps[i].visible) stepCount++;\n    }\n\n    var visible;\n    // If it has fewer than two options, it's not really a slider\n    if(stepCount < 2) visible = sliderOut.visible = false;\n    else visible = coerce('visible');\n    if(!visible) return;\n\n    sliderOut._stepCount = stepCount;\n    var visSteps = sliderOut._visibleSteps = Lib.filterVisible(steps);\n\n    var active = coerce('active');\n    if(!(steps[active] || {}).visible) sliderOut.active = visSteps[0]._index;\n\n    coerce('x');\n    coerce('y');\n    Lib.noneOrAll(sliderIn, sliderOut, ['x', 'y']);\n\n    coerce('xanchor');\n    coerce('yanchor');\n\n    coerce('len');\n    coerce('lenmode');\n\n    coerce('pad.t');\n    coerce('pad.r');\n    coerce('pad.b');\n    coerce('pad.l');\n\n    Lib.coerceFont(coerce, 'font', layoutOut.font);\n\n    var currentValueIsVisible = coerce('currentvalue.visible');\n\n    if(currentValueIsVisible) {\n        coerce('currentvalue.xanchor');\n        coerce('currentvalue.prefix');\n        coerce('currentvalue.suffix');\n        coerce('currentvalue.offset');\n\n        Lib.coerceFont(coerce, 'currentvalue.font', sliderOut.font);\n    }\n\n    coerce('transition.duration');\n    coerce('transition.easing');\n\n    coerce('bgcolor');\n    coerce('activebgcolor');\n    coerce('bordercolor');\n    coerce('borderwidth');\n    coerce('ticklen');\n    coerce('tickwidth');\n    coerce('tickcolor');\n    coerce('minorticklen');\n}\n\nfunction stepDefaults(valueIn, valueOut) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(valueIn, valueOut, stepAttrs, attr, dflt);\n    }\n\n    var visible;\n    if(valueIn.method !== 'skip' && !Array.isArray(valueIn.args)) {\n        visible = valueOut.visible = false;\n    }\n    else visible = coerce('visible');\n\n    if(visible) {\n        coerce('method');\n        coerce('args');\n        var label = coerce('label', 'step-' + valueOut._index);\n        coerce('value', label);\n        coerce('execute');\n    }\n}\n\n},{\"../../lib\":696,\"../../plots/array_container_defaults\":741,\"./attributes\":656,\"./constants\":657}],659:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Plots = _dereq_('../../plots/plots');\nvar Color = _dereq_('../color');\nvar Drawing = _dereq_('../drawing');\nvar Lib = _dereq_('../../lib');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar anchorUtils = _dereq_('../legend/anchor_utils');\nvar arrayEditor = _dereq_('../../plot_api/plot_template').arrayEditor;\n\nvar constants = _dereq_('./constants');\nvar alignmentConstants = _dereq_('../../constants/alignment');\nvar LINE_SPACING = alignmentConstants.LINE_SPACING;\nvar FROM_TL = alignmentConstants.FROM_TL;\nvar FROM_BR = alignmentConstants.FROM_BR;\n\nmodule.exports = function draw(gd) {\n    var fullLayout = gd._fullLayout,\n        sliderData = makeSliderData(fullLayout, gd);\n\n    // draw a container for *all* sliders:\n    var sliders = fullLayout._infolayer\n        .selectAll('g.' + constants.containerClassName)\n        .data(sliderData.length > 0 ? [0] : []);\n\n    sliders.enter().append('g')\n        .classed(constants.containerClassName, true)\n        .style('cursor', 'ew-resize');\n\n    function clearSlider(sliderOpts) {\n        if(sliderOpts._commandObserver) {\n            sliderOpts._commandObserver.remove();\n            delete sliderOpts._commandObserver;\n        }\n\n        // Most components don't need to explicitly remove autoMargin, because\n        // marginPushers does this - but slider updates don't go through\n        // a full replot so we need to explicitly remove it.\n        Plots.autoMargin(gd, autoMarginId(sliderOpts));\n    }\n\n    sliders.exit().each(function() {\n        d3.select(this).selectAll('g.' + constants.groupClassName)\n            .each(clearSlider);\n    })\n    .remove();\n\n    // Return early if no menus visible:\n    if(sliderData.length === 0) return;\n\n    var sliderGroups = sliders.selectAll('g.' + constants.groupClassName)\n        .data(sliderData, keyFunction);\n\n    sliderGroups.enter().append('g')\n        .classed(constants.groupClassName, true);\n\n    sliderGroups.exit()\n        .each(clearSlider)\n        .remove();\n\n    // Find the dimensions of the sliders:\n    for(var i = 0; i < sliderData.length; i++) {\n        var sliderOpts = sliderData[i];\n        findDimensions(gd, sliderOpts);\n    }\n\n    sliderGroups.each(function(sliderOpts) {\n        var gSlider = d3.select(this);\n\n        computeLabelSteps(sliderOpts);\n\n        Plots.manageCommandObserver(gd, sliderOpts, sliderOpts._visibleSteps, function(data) {\n            // NB: Same as below. This is *not* always the same as sliderOpts since\n            // if a new set of steps comes in, the reference in this callback would\n            // be invalid. We need to refetch it from the slider group, which is\n            // the join data that creates this slider. So if this slider still exists,\n            // the group should be valid, *to the best of my knowledge.* If not,\n            // we'd have to look it up by d3 data join index/key.\n            var opts = gSlider.data()[0];\n\n            if(opts.active === data.index) return;\n            if(opts._dragging) return;\n\n            setActive(gd, gSlider, opts, data.index, false, true);\n        });\n\n        drawSlider(gd, d3.select(this), sliderOpts);\n    });\n};\n\nfunction autoMarginId(sliderOpts) {\n    return constants.autoMarginIdRoot + sliderOpts._index;\n}\n\n// This really only just filters by visibility:\nfunction makeSliderData(fullLayout, gd) {\n    var contOpts = fullLayout[constants.name],\n        sliderData = [];\n\n    for(var i = 0; i < contOpts.length; i++) {\n        var item = contOpts[i];\n        if(!item.visible) continue;\n        item._gd = gd;\n        sliderData.push(item);\n    }\n\n    return sliderData;\n}\n\n// This is set in the defaults step:\nfunction keyFunction(opts) {\n    return opts._index;\n}\n\n// Compute the dimensions (mutates sliderOpts):\nfunction findDimensions(gd, sliderOpts) {\n    var sliderLabels = Drawing.tester.selectAll('g.' + constants.labelGroupClass)\n        .data(sliderOpts._visibleSteps);\n\n    sliderLabels.enter().append('g')\n        .classed(constants.labelGroupClass, true);\n\n    // loop over fake buttons to find width / height\n    var maxLabelWidth = 0;\n    var labelHeight = 0;\n    sliderLabels.each(function(stepOpts) {\n        var labelGroup = d3.select(this);\n\n        var text = drawLabel(labelGroup, {step: stepOpts}, sliderOpts);\n\n        var textNode = text.node();\n        if(textNode) {\n            var bBox = Drawing.bBox(textNode);\n            labelHeight = Math.max(labelHeight, bBox.height);\n            maxLabelWidth = Math.max(maxLabelWidth, bBox.width);\n        }\n    });\n\n    sliderLabels.remove();\n\n    var dims = sliderOpts._dims = {};\n\n    dims.inputAreaWidth = Math.max(\n        constants.railWidth,\n        constants.gripHeight\n    );\n\n    // calculate some overall dimensions - some of these are needed for\n    // calculating the currentValue dimensions\n    var graphSize = gd._fullLayout._size;\n    dims.lx = graphSize.l + graphSize.w * sliderOpts.x;\n    dims.ly = graphSize.t + graphSize.h * (1 - sliderOpts.y);\n\n    if(sliderOpts.lenmode === 'fraction') {\n        // fraction:\n        dims.outerLength = Math.round(graphSize.w * sliderOpts.len);\n    } else {\n        // pixels:\n        dims.outerLength = sliderOpts.len;\n    }\n\n    // The length of the rail, *excluding* padding on either end:\n    dims.inputAreaStart = 0;\n    dims.inputAreaLength = Math.round(dims.outerLength - sliderOpts.pad.l - sliderOpts.pad.r);\n\n    var textableInputLength = dims.inputAreaLength - 2 * constants.stepInset;\n    var availableSpacePerLabel = textableInputLength / (sliderOpts._stepCount - 1);\n    var computedSpacePerLabel = maxLabelWidth + constants.labelPadding;\n    dims.labelStride = Math.max(1, Math.ceil(computedSpacePerLabel / availableSpacePerLabel));\n    dims.labelHeight = labelHeight;\n\n    // loop over all possible values for currentValue to find the\n    // area we need for it\n    dims.currentValueMaxWidth = 0;\n    dims.currentValueHeight = 0;\n    dims.currentValueTotalHeight = 0;\n    dims.currentValueMaxLines = 1;\n\n    if(sliderOpts.currentvalue.visible) {\n        // Get the dimensions of the current value label:\n        var dummyGroup = Drawing.tester.append('g');\n\n        sliderLabels.each(function(stepOpts) {\n            var curValPrefix = drawCurrentValue(dummyGroup, sliderOpts, stepOpts.label);\n            var curValSize = (curValPrefix.node() && Drawing.bBox(curValPrefix.node())) || {width: 0, height: 0};\n            var lines = svgTextUtils.lineCount(curValPrefix);\n            dims.currentValueMaxWidth = Math.max(dims.currentValueMaxWidth, Math.ceil(curValSize.width));\n            dims.currentValueHeight = Math.max(dims.currentValueHeight, Math.ceil(curValSize.height));\n            dims.currentValueMaxLines = Math.max(dims.currentValueMaxLines, lines);\n        });\n\n        dims.currentValueTotalHeight = dims.currentValueHeight + sliderOpts.currentvalue.offset;\n\n        dummyGroup.remove();\n    }\n\n    dims.height = dims.currentValueTotalHeight + constants.tickOffset + sliderOpts.ticklen + constants.labelOffset + dims.labelHeight + sliderOpts.pad.t + sliderOpts.pad.b;\n\n    var xanchor = 'left';\n    if(anchorUtils.isRightAnchor(sliderOpts)) {\n        dims.lx -= dims.outerLength;\n        xanchor = 'right';\n    }\n    if(anchorUtils.isCenterAnchor(sliderOpts)) {\n        dims.lx -= dims.outerLength / 2;\n        xanchor = 'center';\n    }\n\n    var yanchor = 'top';\n    if(anchorUtils.isBottomAnchor(sliderOpts)) {\n        dims.ly -= dims.height;\n        yanchor = 'bottom';\n    }\n    if(anchorUtils.isMiddleAnchor(sliderOpts)) {\n        dims.ly -= dims.height / 2;\n        yanchor = 'middle';\n    }\n\n    dims.outerLength = Math.ceil(dims.outerLength);\n    dims.height = Math.ceil(dims.height);\n    dims.lx = Math.round(dims.lx);\n    dims.ly = Math.round(dims.ly);\n\n    var marginOpts = {\n        y: sliderOpts.y,\n        b: dims.height * FROM_BR[yanchor],\n        t: dims.height * FROM_TL[yanchor]\n    };\n\n    if(sliderOpts.lenmode === 'fraction') {\n        marginOpts.l = 0;\n        marginOpts.xl = sliderOpts.x - sliderOpts.len * FROM_TL[xanchor];\n        marginOpts.r = 0;\n        marginOpts.xr = sliderOpts.x + sliderOpts.len * FROM_BR[xanchor];\n    }\n    else {\n        marginOpts.x = sliderOpts.x;\n        marginOpts.l = dims.outerLength * FROM_TL[xanchor];\n        marginOpts.r = dims.outerLength * FROM_BR[xanchor];\n    }\n\n    Plots.autoMargin(gd, autoMarginId(sliderOpts), marginOpts);\n}\n\nfunction drawSlider(gd, sliderGroup, sliderOpts) {\n    // This is related to the other long notes in this file regarding what happens\n    // when slider steps disappear. This particular fix handles what happens when\n    // the *current* slider step is removed. The drawing functions will error out\n    // when they fail to find it, so the fix for now is that it will just draw the\n    // slider in the first position but will not execute the command.\n    if(!((sliderOpts.steps[sliderOpts.active] || {}).visible)) {\n        sliderOpts.active = sliderOpts._visibleSteps[0]._index;\n    }\n\n    // These are carefully ordered for proper z-ordering:\n    sliderGroup\n        .call(drawCurrentValue, sliderOpts)\n        .call(drawRail, sliderOpts)\n        .call(drawLabelGroup, sliderOpts)\n        .call(drawTicks, sliderOpts)\n        .call(drawTouchRect, gd, sliderOpts)\n        .call(drawGrip, gd, sliderOpts);\n\n    var dims = sliderOpts._dims;\n\n    // Position the rectangle:\n    Drawing.setTranslate(sliderGroup, dims.lx + sliderOpts.pad.l, dims.ly + sliderOpts.pad.t);\n\n    sliderGroup.call(setGripPosition, sliderOpts, false);\n    sliderGroup.call(drawCurrentValue, sliderOpts);\n\n}\n\nfunction drawCurrentValue(sliderGroup, sliderOpts, valueOverride) {\n    if(!sliderOpts.currentvalue.visible) return;\n\n    var dims = sliderOpts._dims;\n    var x0, textAnchor;\n\n    switch(sliderOpts.currentvalue.xanchor) {\n        case 'right':\n            // This is anchored left and adjusted by the width of the longest label\n            // so that the prefix doesn't move. The goal of this is to emphasize\n            // what's actually changing and make the update less distracting.\n            x0 = dims.inputAreaLength - constants.currentValueInset - dims.currentValueMaxWidth;\n            textAnchor = 'left';\n            break;\n        case 'center':\n            x0 = dims.inputAreaLength * 0.5;\n            textAnchor = 'middle';\n            break;\n        default:\n            x0 = constants.currentValueInset;\n            textAnchor = 'left';\n    }\n\n    var text = Lib.ensureSingle(sliderGroup, 'text', constants.labelClass, function(s) {\n        s.classed('user-select-none', true)\n            .attr({\n                'text-anchor': textAnchor,\n                'data-notex': 1\n            });\n    });\n\n    var str = sliderOpts.currentvalue.prefix ? sliderOpts.currentvalue.prefix : '';\n\n    if(typeof valueOverride === 'string') {\n        str += valueOverride;\n    } else {\n        var curVal = sliderOpts.steps[sliderOpts.active].label;\n        str += curVal;\n    }\n\n    if(sliderOpts.currentvalue.suffix) {\n        str += sliderOpts.currentvalue.suffix;\n    }\n\n    text.call(Drawing.font, sliderOpts.currentvalue.font)\n        .text(str)\n        .call(svgTextUtils.convertToTspans, sliderOpts._gd);\n\n    var lines = svgTextUtils.lineCount(text);\n\n    var y0 = (dims.currentValueMaxLines + 1 - lines) *\n        sliderOpts.currentvalue.font.size * LINE_SPACING;\n\n    svgTextUtils.positionText(text, x0, y0);\n\n    return text;\n}\n\nfunction drawGrip(sliderGroup, gd, sliderOpts) {\n    var grip = Lib.ensureSingle(sliderGroup, 'rect', constants.gripRectClass, function(s) {\n        s.call(attachGripEvents, gd, sliderGroup, sliderOpts)\n            .style('pointer-events', 'all');\n    });\n\n    grip.attr({\n        width: constants.gripWidth,\n        height: constants.gripHeight,\n        rx: constants.gripRadius,\n        ry: constants.gripRadius,\n    })\n    .call(Color.stroke, sliderOpts.bordercolor)\n    .call(Color.fill, sliderOpts.bgcolor)\n    .style('stroke-width', sliderOpts.borderwidth + 'px');\n}\n\nfunction drawLabel(item, data, sliderOpts) {\n    var text = Lib.ensureSingle(item, 'text', constants.labelClass, function(s) {\n        s.classed('user-select-none', true)\n            .attr({\n                'text-anchor': 'middle',\n                'data-notex': 1\n            });\n    });\n\n    text.call(Drawing.font, sliderOpts.font)\n        .text(data.step.label)\n        .call(svgTextUtils.convertToTspans, sliderOpts._gd);\n\n    return text;\n}\n\nfunction drawLabelGroup(sliderGroup, sliderOpts) {\n    var labels = Lib.ensureSingle(sliderGroup, 'g', constants.labelsClass);\n    var dims = sliderOpts._dims;\n\n    var labelItems = labels.selectAll('g.' + constants.labelGroupClass)\n        .data(dims.labelSteps);\n\n    labelItems.enter().append('g')\n        .classed(constants.labelGroupClass, true);\n\n    labelItems.exit().remove();\n\n    labelItems.each(function(d) {\n        var item = d3.select(this);\n\n        item.call(drawLabel, d, sliderOpts);\n\n        Drawing.setTranslate(item,\n            normalizedValueToPosition(sliderOpts, d.fraction),\n            constants.tickOffset +\n                sliderOpts.ticklen +\n                // position is the baseline of the top line of text only, even\n                // if the label spans multiple lines\n                sliderOpts.font.size * LINE_SPACING +\n                constants.labelOffset +\n                dims.currentValueTotalHeight\n        );\n    });\n\n}\n\nfunction handleInput(gd, sliderGroup, sliderOpts, normalizedPosition, doTransition) {\n    var quantizedPosition = Math.round(normalizedPosition * (sliderOpts._stepCount - 1));\n    var quantizedIndex = sliderOpts._visibleSteps[quantizedPosition]._index;\n\n    if(quantizedIndex !== sliderOpts.active) {\n        setActive(gd, sliderGroup, sliderOpts, quantizedIndex, true, doTransition);\n    }\n}\n\nfunction setActive(gd, sliderGroup, sliderOpts, index, doCallback, doTransition) {\n    var previousActive = sliderOpts.active;\n    sliderOpts.active = index;\n\n    // due to templating, it's possible this slider doesn't even exist yet\n    arrayEditor(gd.layout, constants.name, sliderOpts)\n        .applyUpdate('active', index);\n\n    var step = sliderOpts.steps[sliderOpts.active];\n\n    sliderGroup.call(setGripPosition, sliderOpts, doTransition);\n    sliderGroup.call(drawCurrentValue, sliderOpts);\n\n    gd.emit('plotly_sliderchange', {\n        slider: sliderOpts,\n        step: sliderOpts.steps[sliderOpts.active],\n        interaction: doCallback,\n        previousActive: previousActive\n    });\n\n    if(step && step.method && doCallback) {\n        if(sliderGroup._nextMethod) {\n            // If we've already queued up an update, just overwrite it with the most recent:\n            sliderGroup._nextMethod.step = step;\n            sliderGroup._nextMethod.doCallback = doCallback;\n            sliderGroup._nextMethod.doTransition = doTransition;\n        } else {\n            sliderGroup._nextMethod = {step: step, doCallback: doCallback, doTransition: doTransition};\n            sliderGroup._nextMethodRaf = window.requestAnimationFrame(function() {\n                var _step = sliderGroup._nextMethod.step;\n                if(!_step.method) return;\n\n                if(_step.execute) {\n                    Plots.executeAPICommand(gd, _step.method, _step.args);\n                }\n\n                sliderGroup._nextMethod = null;\n                sliderGroup._nextMethodRaf = null;\n            });\n        }\n    }\n}\n\nfunction attachGripEvents(item, gd, sliderGroup) {\n    var node = sliderGroup.node();\n    var $gd = d3.select(gd);\n\n    // NB: This is *not* the same as sliderOpts itself! These callbacks\n    // are in a closure so this array won't actually be correct if the\n    // steps have changed since this was initialized. The sliderGroup,\n    // however, has not changed since that *is* the slider, so it must\n    // be present to receive mouse events.\n    function getSliderOpts() {\n        return sliderGroup.data()[0];\n    }\n\n    item.on('mousedown', function() {\n        var sliderOpts = getSliderOpts();\n        gd.emit('plotly_sliderstart', {slider: sliderOpts});\n\n        var grip = sliderGroup.select('.' + constants.gripRectClass);\n\n        d3.event.stopPropagation();\n        d3.event.preventDefault();\n        grip.call(Color.fill, sliderOpts.activebgcolor);\n\n        var normalizedPosition = positionToNormalizedValue(sliderOpts, d3.mouse(node)[0]);\n        handleInput(gd, sliderGroup, sliderOpts, normalizedPosition, true);\n        sliderOpts._dragging = true;\n\n        $gd.on('mousemove', function() {\n            var sliderOpts = getSliderOpts();\n            var normalizedPosition = positionToNormalizedValue(sliderOpts, d3.mouse(node)[0]);\n            handleInput(gd, sliderGroup, sliderOpts, normalizedPosition, false);\n        });\n\n        $gd.on('mouseup', function() {\n            var sliderOpts = getSliderOpts();\n            sliderOpts._dragging = false;\n            grip.call(Color.fill, sliderOpts.bgcolor);\n            $gd.on('mouseup', null);\n            $gd.on('mousemove', null);\n\n            gd.emit('plotly_sliderend', {\n                slider: sliderOpts,\n                step: sliderOpts.steps[sliderOpts.active]\n            });\n        });\n    });\n}\n\nfunction drawTicks(sliderGroup, sliderOpts) {\n    var tick = sliderGroup.selectAll('rect.' + constants.tickRectClass)\n        .data(sliderOpts._visibleSteps);\n    var dims = sliderOpts._dims;\n\n    tick.enter().append('rect')\n        .classed(constants.tickRectClass, true);\n\n    tick.exit().remove();\n\n    tick.attr({\n        width: sliderOpts.tickwidth + 'px',\n        'shape-rendering': 'crispEdges'\n    });\n\n    tick.each(function(d, i) {\n        var isMajor = i % dims.labelStride === 0;\n        var item = d3.select(this);\n\n        item\n            .attr({height: isMajor ? sliderOpts.ticklen : sliderOpts.minorticklen})\n            .call(Color.fill, isMajor ? sliderOpts.tickcolor : sliderOpts.tickcolor);\n\n        Drawing.setTranslate(item,\n            normalizedValueToPosition(sliderOpts, i / (sliderOpts._stepCount - 1)) - 0.5 * sliderOpts.tickwidth,\n            (isMajor ? constants.tickOffset : constants.minorTickOffset) + dims.currentValueTotalHeight\n        );\n    });\n\n}\n\nfunction computeLabelSteps(sliderOpts) {\n    var dims = sliderOpts._dims;\n    dims.labelSteps = [];\n    var nsteps = sliderOpts._stepCount;\n\n    for(var i = 0; i < nsteps; i += dims.labelStride) {\n        dims.labelSteps.push({\n            fraction: i / (nsteps - 1),\n            step: sliderOpts._visibleSteps[i]\n        });\n    }\n}\n\nfunction setGripPosition(sliderGroup, sliderOpts, doTransition) {\n    var grip = sliderGroup.select('rect.' + constants.gripRectClass);\n\n    var quantizedIndex = 0;\n    for(var i = 0; i < sliderOpts._stepCount; i++) {\n        if(sliderOpts._visibleSteps[i]._index === sliderOpts.active) {\n            quantizedIndex = i;\n            break;\n        }\n    }\n\n    var x = normalizedValueToPosition(sliderOpts, quantizedIndex / (sliderOpts._stepCount - 1));\n\n    // If this is true, then *this component* is already invoking its own command\n    // and has triggered its own animation.\n    if(sliderOpts._invokingCommand) return;\n\n    var el = grip;\n    if(doTransition && sliderOpts.transition.duration > 0) {\n        el = el.transition()\n            .duration(sliderOpts.transition.duration)\n            .ease(sliderOpts.transition.easing);\n    }\n\n    // Drawing.setTranslate doesn't work here becasue of the transition duck-typing.\n    // It's also not necessary because there are no other transitions to preserve.\n    el.attr('transform', 'translate(' + (x - constants.gripWidth * 0.5) + ',' + (sliderOpts._dims.currentValueTotalHeight) + ')');\n}\n\n// Convert a number from [0-1] to a pixel position relative to the slider group container:\nfunction normalizedValueToPosition(sliderOpts, normalizedPosition) {\n    var dims = sliderOpts._dims;\n    return dims.inputAreaStart + constants.stepInset +\n        (dims.inputAreaLength - 2 * constants.stepInset) * Math.min(1, Math.max(0, normalizedPosition));\n}\n\n// Convert a position relative to the slider group to a nubmer in [0, 1]\nfunction positionToNormalizedValue(sliderOpts, position) {\n    var dims = sliderOpts._dims;\n    return Math.min(1, Math.max(0, (position - constants.stepInset - dims.inputAreaStart) / (dims.inputAreaLength - 2 * constants.stepInset - 2 * dims.inputAreaStart)));\n}\n\nfunction drawTouchRect(sliderGroup, gd, sliderOpts) {\n    var dims = sliderOpts._dims;\n    var rect = Lib.ensureSingle(sliderGroup, 'rect', constants.railTouchRectClass, function(s) {\n        s.call(attachGripEvents, gd, sliderGroup, sliderOpts)\n            .style('pointer-events', 'all');\n    });\n\n    rect.attr({\n        width: dims.inputAreaLength,\n        height: Math.max(dims.inputAreaWidth, constants.tickOffset + sliderOpts.ticklen + dims.labelHeight)\n    })\n        .call(Color.fill, sliderOpts.bgcolor)\n        .attr('opacity', 0);\n\n    Drawing.setTranslate(rect, 0, dims.currentValueTotalHeight);\n}\n\nfunction drawRail(sliderGroup, sliderOpts) {\n    var dims = sliderOpts._dims;\n    var computedLength = dims.inputAreaLength - constants.railInset * 2;\n    var rect = Lib.ensureSingle(sliderGroup, 'rect', constants.railRectClass);\n\n    rect.attr({\n        width: computedLength,\n        height: constants.railWidth,\n        rx: constants.railRadius,\n        ry: constants.railRadius,\n        'shape-rendering': 'crispEdges'\n    })\n    .call(Color.stroke, sliderOpts.bordercolor)\n    .call(Color.fill, sliderOpts.bgcolor)\n    .style('stroke-width', sliderOpts.borderwidth + 'px');\n\n    Drawing.setTranslate(rect,\n        constants.railInset,\n        (dims.inputAreaWidth - constants.railWidth) * 0.5 + dims.currentValueTotalHeight\n    );\n}\n\n},{\"../../constants/alignment\":668,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"../../plot_api/plot_template\":735,\"../../plots/plots\":809,\"../color\":570,\"../drawing\":595,\"../legend/anchor_utils\":622,\"./constants\":657,\"d3\":148}],660:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar constants = _dereq_('./constants');\n\nmodule.exports = {\n    moduleType: 'component',\n    name: constants.name,\n\n    layoutAttributes: _dereq_('./attributes'),\n    supplyLayoutDefaults: _dereq_('./defaults'),\n\n    draw: _dereq_('./draw')\n};\n\n},{\"./attributes\":656,\"./constants\":657,\"./defaults\":658,\"./draw\":659}],661:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Plots = _dereq_('../../plots/plots');\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Drawing = _dereq_('../drawing');\nvar Color = _dereq_('../color');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar interactConstants = _dereq_('../../constants/interactions');\n\nmodule.exports = {\n    draw: draw\n};\n\nvar numStripRE = / [XY][0-9]* /;\n\n/**\n * Titles - (re)draw titles on the axes and plot:\n * @param {DOM element} gd - the graphDiv\n * @param {string} titleClass - the css class of this title\n * @param {object} options - how and what to draw\n *      propContainer - the layout object containing `title` and `titlefont`\n *          attributes that apply to this title\n *      propName - the full name of the title property (for Plotly.relayout)\n *      [traceIndex] - include only if this property applies to one trace\n *          (such as a colorbar title) - then editing pipes to Plotly.restyle\n *          instead of Plotly.relayout\n *      placeholder - placeholder text for an empty editable title\n *      [avoid] {object} - include if this title should move to avoid other elements\n *          selection - d3 selection of elements to avoid\n *          side - which direction to move if there is a conflict\n *          [offsetLeft] - if these elements are subject to a translation\n *              wrt the title element\n *          [offsetTop]\n *      attributes {object} - position and alignment attributes\n *          x - pixels\n *          y - pixels\n *          text-anchor - start|middle|end\n *      transform {object} - how to transform the title after positioning\n *          rotate - degrees\n *          offset - shift up/down in the rotated frame (unused?)\n *      containerGroup - if an svg <g> element already exists to hold this\n *          title, include here. Otherwise it will go in fullLayout._infolayer\n *\n *  @return {selection} d3 selection of title container group\n */\nfunction draw(gd, titleClass, options) {\n    var cont = options.propContainer;\n    var prop = options.propName;\n    var placeholder = options.placeholder;\n    var traceIndex = options.traceIndex;\n    var avoid = options.avoid || {};\n    var attributes = options.attributes;\n    var transform = options.transform;\n    var group = options.containerGroup;\n\n    var fullLayout = gd._fullLayout;\n    var titlefont = cont.titlefont || {};\n    var font = titlefont.family;\n    var fontSize = titlefont.size;\n    var fontColor = titlefont.color;\n\n    var opacity = 1;\n    var isplaceholder = false;\n    var txt = (cont.title || '').trim();\n\n    // only make this title editable if we positively identify its property\n    // as one that has editing enabled.\n    var editAttr;\n    if(prop === 'title') editAttr = 'titleText';\n    else if(prop.indexOf('axis') !== -1) editAttr = 'axisTitleText';\n    else if(prop.indexOf('colorbar' !== -1)) editAttr = 'colorbarTitleText';\n    var editable = gd._context.edits[editAttr];\n\n    if(txt === '') opacity = 0;\n    // look for placeholder text while stripping out numbers from eg X2, Y3\n    // this is just for backward compatibility with the old version that had\n    // \"Click to enter X2 title\" and may have gotten saved in some old plots,\n    // we don't want this to show up when these are displayed.\n    else if(txt.replace(numStripRE, ' % ') === placeholder.replace(numStripRE, ' % ')) {\n        opacity = 0.2;\n        isplaceholder = true;\n        if(!editable) txt = '';\n    }\n\n    var elShouldExist = txt || editable;\n\n    if(!group) {\n        group = Lib.ensureSingle(fullLayout._infolayer, 'g', 'g-' + titleClass);\n    }\n\n    var el = group.selectAll('text')\n        .data(elShouldExist ? [0] : []);\n    el.enter().append('text');\n    el.text(txt)\n        // this is hacky, but convertToTspans uses the class\n        // to determine whether to rotate mathJax...\n        // so we need to clear out any old class and put the\n        // correct one (only relevant for colorbars, at least\n        // for now) - ie don't use .classed\n        .attr('class', titleClass);\n    el.exit().remove();\n\n    if(!elShouldExist) return group;\n\n    function titleLayout(titleEl) {\n        Lib.syncOrAsync([drawTitle, scootTitle], titleEl);\n    }\n\n    function drawTitle(titleEl) {\n        var transformVal;\n\n        if(transform) {\n            transformVal = '';\n            if(transform.rotate) {\n                transformVal += 'rotate(' + [transform.rotate, attributes.x, attributes.y] + ')';\n            }\n            if(transform.offset) {\n                transformVal += 'translate(0, ' + transform.offset + ')';\n            }\n        } else {\n            transformVal = null;\n        }\n\n        titleEl.attr('transform', transformVal);\n\n        titleEl.style({\n            'font-family': font,\n            'font-size': d3.round(fontSize, 2) + 'px',\n            fill: Color.rgb(fontColor),\n            opacity: opacity * Color.opacity(fontColor),\n            'font-weight': Plots.fontWeight\n        })\n        .attr(attributes)\n        .call(svgTextUtils.convertToTspans, gd);\n\n        return Plots.previousPromises(gd);\n    }\n\n    function scootTitle(titleElIn) {\n        var titleGroup = d3.select(titleElIn.node().parentNode);\n\n        if(avoid && avoid.selection && avoid.side && txt) {\n            titleGroup.attr('transform', null);\n\n            // move toward avoid.side (= left, right, top, bottom) if needed\n            // can include pad (pixels, default 2)\n            var shift = 0;\n            var backside = {\n                left: 'right',\n                right: 'left',\n                top: 'bottom',\n                bottom: 'top'\n            }[avoid.side];\n            var shiftSign = (['left', 'top'].indexOf(avoid.side) !== -1) ?\n                    -1 : 1;\n            var pad = isNumeric(avoid.pad) ? avoid.pad : 2;\n            var titlebb = Drawing.bBox(titleGroup.node());\n            var paperbb = {\n                left: 0,\n                top: 0,\n                right: fullLayout.width,\n                bottom: fullLayout.height\n            };\n            var maxshift = avoid.maxShift || (\n                (paperbb[avoid.side] - titlebb[avoid.side]) *\n                ((avoid.side === 'left' || avoid.side === 'top') ? -1 : 1));\n            // Prevent the title going off the paper\n            if(maxshift < 0) shift = maxshift;\n            else {\n                // so we don't have to offset each avoided element,\n                // give the title the opposite offset\n                var offsetLeft = avoid.offsetLeft || 0;\n                var offsetTop = avoid.offsetTop || 0;\n                titlebb.left -= offsetLeft;\n                titlebb.right -= offsetLeft;\n                titlebb.top -= offsetTop;\n                titlebb.bottom -= offsetTop;\n\n                // iterate over a set of elements (avoid.selection)\n                // to avoid collisions with\n                avoid.selection.each(function() {\n                    var avoidbb = Drawing.bBox(this);\n\n                    if(Lib.bBoxIntersect(titlebb, avoidbb, pad)) {\n                        shift = Math.max(shift, shiftSign * (\n                            avoidbb[avoid.side] - titlebb[backside]) + pad);\n                    }\n                });\n                shift = Math.min(maxshift, shift);\n            }\n            if(shift > 0 || maxshift < 0) {\n                var shiftTemplate = {\n                    left: [-shift, 0],\n                    right: [shift, 0],\n                    top: [0, -shift],\n                    bottom: [0, shift]\n                }[avoid.side];\n                titleGroup.attr('transform',\n                    'translate(' + shiftTemplate + ')');\n            }\n        }\n    }\n\n    el.call(titleLayout);\n\n    function setPlaceholder() {\n        opacity = 0;\n        isplaceholder = true;\n        el.text(placeholder)\n            .on('mouseover.opacity', function() {\n                d3.select(this).transition()\n                    .duration(interactConstants.SHOW_PLACEHOLDER).style('opacity', 1);\n            })\n            .on('mouseout.opacity', function() {\n                d3.select(this).transition()\n                    .duration(interactConstants.HIDE_PLACEHOLDER).style('opacity', 0);\n            });\n    }\n\n    if(editable) {\n        if(!txt) setPlaceholder();\n        else el.on('.opacity', null);\n\n        el.call(svgTextUtils.makeEditable, {gd: gd})\n            .on('edit', function(text) {\n                if(traceIndex !== undefined) {\n                    Registry.call('restyle', gd, prop, text, traceIndex);\n                } else {\n                    Registry.call('relayout', gd, prop, text);\n                }\n            })\n            .on('cancel', function() {\n                this.text(this.attr('data-unformatted'))\n                    .call(titleLayout);\n            })\n            .on('input', function(d) {\n                this.text(d || ' ')\n                    .call(svgTextUtils.positionText, attributes.x, attributes.y);\n            });\n    }\n    el.classed('js-placeholder', isplaceholder);\n\n    return group;\n}\n\n},{\"../../constants/interactions\":672,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"../../plots/plots\":809,\"../../registry\":828,\"../color\":570,\"../drawing\":595,\"d3\":148,\"fast-isnumeric\":214}],662:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar colorAttrs = _dereq_('../color/attributes');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\nvar padAttrs = _dereq_('../../plots/pad_attributes');\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\n\nvar buttonsAttrs = templatedArray('button', {\n    visible: {\n        valType: 'boolean',\n        \n        \n    },\n    method: {\n        valType: 'enumerated',\n        values: ['restyle', 'relayout', 'animate', 'update', 'skip'],\n        dflt: 'restyle',\n        \n        \n    },\n    args: {\n        valType: 'info_array',\n        \n        freeLength: true,\n        items: [\n            {valType: 'any'},\n            {valType: 'any'},\n            {valType: 'any'}\n        ],\n        \n    },\n    label: {\n        valType: 'string',\n        \n        dflt: '',\n        \n    },\n    execute: {\n        valType: 'boolean',\n        \n        dflt: true,\n        \n    }\n});\n\nmodule.exports = overrideAll(templatedArray('updatemenu', {\n    _arrayAttrRegexps: [/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],\n\n    visible: {\n        valType: 'boolean',\n        \n        \n    },\n\n    type: {\n        valType: 'enumerated',\n        values: ['dropdown', 'buttons'],\n        dflt: 'dropdown',\n        \n        \n    },\n\n    direction: {\n        valType: 'enumerated',\n        values: ['left', 'right', 'up', 'down'],\n        dflt: 'down',\n        \n        \n    },\n\n    active: {\n        valType: 'integer',\n        \n        min: -1,\n        dflt: 0,\n        \n    },\n\n    showactive: {\n        valType: 'boolean',\n        \n        dflt: true,\n        \n    },\n\n    buttons: buttonsAttrs,\n\n    x: {\n        valType: 'number',\n        min: -2,\n        max: 3,\n        dflt: -0.05,\n        \n        \n    },\n    xanchor: {\n        valType: 'enumerated',\n        values: ['auto', 'left', 'center', 'right'],\n        dflt: 'right',\n        \n        \n    },\n    y: {\n        valType: 'number',\n        min: -2,\n        max: 3,\n        dflt: 1,\n        \n        \n    },\n    yanchor: {\n        valType: 'enumerated',\n        values: ['auto', 'top', 'middle', 'bottom'],\n        dflt: 'top',\n        \n        \n    },\n\n    pad: extendFlat({}, padAttrs, {\n        \n    }),\n\n    font: fontAttrs({\n        \n    }),\n\n    bgcolor: {\n        valType: 'color',\n        \n        \n    },\n    bordercolor: {\n        valType: 'color',\n        dflt: colorAttrs.borderLine,\n        \n        \n    },\n    borderwidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'arraydraw',\n        \n    }\n}), 'arraydraw', 'from-root');\n\n},{\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../../plot_api/plot_template\":735,\"../../plots/font_attributes\":772,\"../../plots/pad_attributes\":808,\"../color/attributes\":569}],663:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nmodule.exports = {\n\n    // layout attribute name\n    name: 'updatemenus',\n\n    // class names\n    containerClassName: 'updatemenu-container',\n    headerGroupClassName: 'updatemenu-header-group',\n    headerClassName: 'updatemenu-header',\n    headerArrowClassName: 'updatemenu-header-arrow',\n    dropdownButtonGroupClassName: 'updatemenu-dropdown-button-group',\n    dropdownButtonClassName: 'updatemenu-dropdown-button',\n    buttonClassName: 'updatemenu-button',\n    itemRectClassName: 'updatemenu-item-rect',\n    itemTextClassName: 'updatemenu-item-text',\n\n    // DOM attribute name in button group keeping track\n    // of active update menu\n    menuIndexAttrName: 'updatemenu-active-index',\n\n    // id root pass to Plots.autoMargin\n    autoMarginIdRoot: 'updatemenu-',\n\n    // options when 'active: -1'\n    blankHeaderOpts: { label: '  ' },\n\n    // min item width / height\n    minWidth: 30,\n    minHeight: 30,\n\n    // padding around item text\n    textPadX: 24,\n    arrowPadX: 16,\n\n    // item rect radii\n    rx: 2,\n    ry: 2,\n\n    // item  text x offset off left edge\n    textOffsetX: 12,\n\n    // item  text y offset (w.r.t. middle)\n    textOffsetY: 3,\n\n    // arrow offset off right edge\n    arrowOffsetX: 4,\n\n    // gap between header and buttons\n    gapButtonHeader: 5,\n\n    // gap between between buttons\n    gapButton: 2,\n\n    // color given to active buttons\n    activeColor: '#F4FAFF',\n\n    // color given to hovered buttons\n    hoverColor: '#F4FAFF',\n\n    // symbol for menu open arrow\n    arrowSymbol: {\n        left: '◄',\n        right: '►',\n        up: '▲',\n        down: '▼'\n    }\n};\n\n},{}],664:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar handleArrayContainerDefaults = _dereq_('../../plots/array_container_defaults');\n\nvar attributes = _dereq_('./attributes');\nvar constants = _dereq_('./constants');\n\nvar name = constants.name;\nvar buttonAttrs = attributes.buttons;\n\n\nmodule.exports = function updateMenusDefaults(layoutIn, layoutOut) {\n    var opts = {\n        name: name,\n        handleItemDefaults: menuDefaults\n    };\n\n    handleArrayContainerDefaults(layoutIn, layoutOut, opts);\n};\n\nfunction menuDefaults(menuIn, menuOut, layoutOut) {\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(menuIn, menuOut, attributes, attr, dflt);\n    }\n\n    var buttons = handleArrayContainerDefaults(menuIn, menuOut, {\n        name: 'buttons',\n        handleItemDefaults: buttonDefaults\n    });\n\n    var visible = coerce('visible', buttons.length > 0);\n    if(!visible) return;\n\n    coerce('active');\n    coerce('direction');\n    coerce('type');\n    coerce('showactive');\n\n    coerce('x');\n    coerce('y');\n    Lib.noneOrAll(menuIn, menuOut, ['x', 'y']);\n\n    coerce('xanchor');\n    coerce('yanchor');\n\n    coerce('pad.t');\n    coerce('pad.r');\n    coerce('pad.b');\n    coerce('pad.l');\n\n    Lib.coerceFont(coerce, 'font', layoutOut.font);\n\n    coerce('bgcolor', layoutOut.paper_bgcolor);\n    coerce('bordercolor');\n    coerce('borderwidth');\n}\n\nfunction buttonDefaults(buttonIn, buttonOut) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(buttonIn, buttonOut, buttonAttrs, attr, dflt);\n    }\n\n    var visible = coerce('visible',\n        (buttonIn.method === 'skip' || Array.isArray(buttonIn.args)));\n    if(visible) {\n        coerce('method');\n        coerce('args');\n        coerce('label');\n        coerce('execute');\n    }\n}\n\n},{\"../../lib\":696,\"../../plots/array_container_defaults\":741,\"./attributes\":662,\"./constants\":663}],665:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Plots = _dereq_('../../plots/plots');\nvar Color = _dereq_('../color');\nvar Drawing = _dereq_('../drawing');\nvar Lib = _dereq_('../../lib');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar anchorUtils = _dereq_('../legend/anchor_utils');\nvar arrayEditor = _dereq_('../../plot_api/plot_template').arrayEditor;\n\nvar LINE_SPACING = _dereq_('../../constants/alignment').LINE_SPACING;\n\nvar constants = _dereq_('./constants');\nvar ScrollBox = _dereq_('./scrollbox');\n\nmodule.exports = function draw(gd) {\n    var fullLayout = gd._fullLayout,\n        menuData = Lib.filterVisible(fullLayout[constants.name]);\n\n    /* Update menu data is bound to the header-group.\n     * The items in the header group are always present.\n     *\n     * Upon clicking on a header its corresponding button\n     * data is bound to the button-group.\n     *\n     * We draw all headers in one group before all buttons\n     * so that the buttons *always* appear above the headers.\n     *\n     * Note that only one set of buttons are visible at once.\n     *\n     * <g container />\n     *\n     *     <g header-group />\n     *         <g item header />\n     *         <text item header-arrow />\n     *     <g header-group />\n     *         <g item header />\n     *         <text item header-arrow />\n     *     ...\n     *\n     *     <g button-group />\n     *         <g item button />\n     *         <g item button />\n     *         ...\n     */\n\n    function clearAutoMargin(menuOpts) {\n        Plots.autoMargin(gd, autoMarginId(menuOpts));\n    }\n\n    // draw update menu container\n    var menus = fullLayout._menulayer\n        .selectAll('g.' + constants.containerClassName)\n        .data(menuData.length > 0 ? [0] : []);\n\n    menus.enter().append('g')\n        .classed(constants.containerClassName, true)\n        .style('cursor', 'pointer');\n\n    menus.exit().each(function() {\n        // Most components don't need to explicitly remove autoMargin, because\n        // marginPushers does this - but updatemenu updates don't go through\n        // a full replot so we need to explicitly remove it.\n        // This is for removing *all* updatemenus, removing individuals is\n        // handled below, in headerGroups.exit\n        d3.select(this).selectAll('g.' + constants.headerGroupClassName)\n            .each(clearAutoMargin);\n    }).remove();\n\n    // return early if no update menus are visible\n    if(menuData.length === 0) return;\n\n    // join header group\n    var headerGroups = menus.selectAll('g.' + constants.headerGroupClassName)\n        .data(menuData, keyFunction);\n\n    headerGroups.enter().append('g')\n        .classed(constants.headerGroupClassName, true);\n\n    // draw dropdown button container\n    var gButton = Lib.ensureSingle(menus, 'g', constants.dropdownButtonGroupClassName, function(s) {\n        s.style('pointer-events', 'all');\n    });\n\n    // find dimensions before plotting anything (this mutates menuOpts)\n    for(var i = 0; i < menuData.length; i++) {\n        var menuOpts = menuData[i];\n        findDimensions(gd, menuOpts);\n    }\n\n    // setup scrollbox\n    var scrollBoxId = 'updatemenus' + fullLayout._uid,\n        scrollBox = new ScrollBox(gd, gButton, scrollBoxId);\n\n    // remove exiting header, remove dropped buttons and reset margins\n    if(headerGroups.enter().size()) {\n        // make sure gButton is on top of all headers\n        gButton.node().parentNode.appendChild(gButton.node());\n        gButton.call(removeAllButtons);\n    }\n\n    headerGroups.exit().each(function(menuOpts) {\n        gButton.call(removeAllButtons);\n        clearAutoMargin(menuOpts);\n    }).remove();\n\n    // draw headers!\n    headerGroups.each(function(menuOpts) {\n        var gHeader = d3.select(this);\n\n        var _gButton = menuOpts.type === 'dropdown' ? gButton : null;\n        Plots.manageCommandObserver(gd, menuOpts, menuOpts.buttons, function(data) {\n            setActive(gd, menuOpts, menuOpts.buttons[data.index], gHeader, _gButton, scrollBox, data.index, true);\n        });\n\n        if(menuOpts.type === 'dropdown') {\n            drawHeader(gd, gHeader, gButton, scrollBox, menuOpts);\n\n            // if this menu is active, update the dropdown container\n            if(isActive(gButton, menuOpts)) {\n                drawButtons(gd, gHeader, gButton, scrollBox, menuOpts);\n            }\n        } else {\n            drawButtons(gd, gHeader, null, null, menuOpts);\n        }\n\n    });\n};\n\n// Note that '_index' is set at the default step,\n// it corresponds to the menu index in the user layout update menu container.\n// Because a menu can be set invisible,\n// this is a more 'consistent' field than the index in the menuData.\nfunction keyFunction(menuOpts) {\n    return menuOpts._index;\n}\n\nfunction isFolded(gButton) {\n    return +gButton.attr(constants.menuIndexAttrName) === -1;\n}\n\nfunction isActive(gButton, menuOpts) {\n    return +gButton.attr(constants.menuIndexAttrName) === menuOpts._index;\n}\n\nfunction setActive(gd, menuOpts, buttonOpts, gHeader, gButton, scrollBox, buttonIndex, isSilentUpdate) {\n    // update 'active' attribute in menuOpts\n    menuOpts.active = buttonIndex;\n\n    // due to templating, it's possible this slider doesn't even exist yet\n    arrayEditor(gd.layout, constants.name, menuOpts)\n        .applyUpdate('active', buttonIndex);\n\n    if(menuOpts.type === 'buttons') {\n        drawButtons(gd, gHeader, null, null, menuOpts);\n    }\n    else if(menuOpts.type === 'dropdown') {\n        // fold up buttons and redraw header\n        gButton.attr(constants.menuIndexAttrName, '-1');\n\n        drawHeader(gd, gHeader, gButton, scrollBox, menuOpts);\n\n        if(!isSilentUpdate) {\n            drawButtons(gd, gHeader, gButton, scrollBox, menuOpts);\n        }\n    }\n}\n\nfunction drawHeader(gd, gHeader, gButton, scrollBox, menuOpts) {\n    var header = Lib.ensureSingle(gHeader, 'g', constants.headerClassName, function(s) {\n        s.style('pointer-events', 'all');\n    });\n\n    var dims = menuOpts._dims;\n    var active = menuOpts.active;\n    var headerOpts = menuOpts.buttons[active] || constants.blankHeaderOpts;\n    var posOpts = { y: menuOpts.pad.t, yPad: 0, x: menuOpts.pad.l, xPad: 0, index: 0 };\n    var positionOverrides = {\n        width: dims.headerWidth,\n        height: dims.headerHeight\n    };\n\n    header\n        .call(drawItem, menuOpts, headerOpts, gd)\n        .call(setItemPosition, menuOpts, posOpts, positionOverrides);\n\n    // draw drop arrow at the right edge\n    var arrow = Lib.ensureSingle(gHeader, 'text', constants.headerArrowClassName, function(s) {\n        s.classed('user-select-none', true)\n            .attr('text-anchor', 'end')\n            .call(Drawing.font, menuOpts.font)\n            .text(constants.arrowSymbol[menuOpts.direction]);\n    });\n\n    arrow.attr({\n        x: dims.headerWidth - constants.arrowOffsetX + menuOpts.pad.l,\n        y: dims.headerHeight / 2 + constants.textOffsetY + menuOpts.pad.t\n    });\n\n    header.on('click', function() {\n        gButton.call(removeAllButtons,\n            String(isActive(gButton, menuOpts) ? -1 : menuOpts._index)\n        );\n\n        drawButtons(gd, gHeader, gButton, scrollBox, menuOpts);\n    });\n\n    header.on('mouseover', function() {\n        header.call(styleOnMouseOver);\n    });\n\n    header.on('mouseout', function() {\n        header.call(styleOnMouseOut, menuOpts);\n    });\n\n    // translate header group\n    Drawing.setTranslate(gHeader, dims.lx, dims.ly);\n}\n\nfunction drawButtons(gd, gHeader, gButton, scrollBox, menuOpts) {\n    // If this is a set of buttons, set pointer events = all since we play\n    // some minor games with which container is which in order to simplify\n    // the drawing of *either* buttons or menus\n    if(!gButton) {\n        gButton = gHeader;\n        gButton.attr('pointer-events', 'all');\n    }\n\n    var buttonData = (!isFolded(gButton) || menuOpts.type === 'buttons') ?\n        menuOpts.buttons :\n        [];\n\n    var klass = menuOpts.type === 'dropdown' ? constants.dropdownButtonClassName : constants.buttonClassName;\n\n    var buttons = gButton.selectAll('g.' + klass)\n        .data(Lib.filterVisible(buttonData));\n\n    var enter = buttons.enter().append('g')\n        .classed(klass, true);\n\n    var exit = buttons.exit();\n\n    if(menuOpts.type === 'dropdown') {\n        enter.attr('opacity', '0')\n            .transition()\n            .attr('opacity', '1');\n\n        exit.transition()\n            .attr('opacity', '0')\n            .remove();\n    } else {\n        exit.remove();\n    }\n\n    var x0 = 0;\n    var y0 = 0;\n    var dims = menuOpts._dims;\n\n    var isVertical = ['up', 'down'].indexOf(menuOpts.direction) !== -1;\n\n    if(menuOpts.type === 'dropdown') {\n        if(isVertical) {\n            y0 = dims.headerHeight + constants.gapButtonHeader;\n        } else {\n            x0 = dims.headerWidth + constants.gapButtonHeader;\n        }\n    }\n\n    if(menuOpts.type === 'dropdown' && menuOpts.direction === 'up') {\n        y0 = -constants.gapButtonHeader + constants.gapButton - dims.openHeight;\n    }\n\n    if(menuOpts.type === 'dropdown' && menuOpts.direction === 'left') {\n        x0 = -constants.gapButtonHeader + constants.gapButton - dims.openWidth;\n    }\n\n    var posOpts = {\n        x: dims.lx + x0 + menuOpts.pad.l,\n        y: dims.ly + y0 + menuOpts.pad.t,\n        yPad: constants.gapButton,\n        xPad: constants.gapButton,\n        index: 0,\n    };\n\n    var scrollBoxPosition = {\n        l: posOpts.x + menuOpts.borderwidth,\n        t: posOpts.y + menuOpts.borderwidth\n    };\n\n    buttons.each(function(buttonOpts, buttonIndex) {\n        var button = d3.select(this);\n\n        button\n            .call(drawItem, menuOpts, buttonOpts, gd)\n            .call(setItemPosition, menuOpts, posOpts);\n\n        button.on('click', function() {\n            // skip `dragend` events\n            if(d3.event.defaultPrevented) return;\n\n            setActive(gd, menuOpts, buttonOpts, gHeader, gButton, scrollBox, buttonIndex);\n\n            if(buttonOpts.execute) {\n                Plots.executeAPICommand(gd, buttonOpts.method, buttonOpts.args);\n            }\n\n            gd.emit('plotly_buttonclicked', {menu: menuOpts, button: buttonOpts, active: menuOpts.active});\n        });\n\n        button.on('mouseover', function() {\n            button.call(styleOnMouseOver);\n        });\n\n        button.on('mouseout', function() {\n            button.call(styleOnMouseOut, menuOpts);\n            buttons.call(styleButtons, menuOpts);\n        });\n    });\n\n    buttons.call(styleButtons, menuOpts);\n\n    if(isVertical) {\n        scrollBoxPosition.w = Math.max(dims.openWidth, dims.headerWidth);\n        scrollBoxPosition.h = posOpts.y - scrollBoxPosition.t;\n    }\n    else {\n        scrollBoxPosition.w = posOpts.x - scrollBoxPosition.l;\n        scrollBoxPosition.h = Math.max(dims.openHeight, dims.headerHeight);\n    }\n\n    scrollBoxPosition.direction = menuOpts.direction;\n\n    if(scrollBox) {\n        if(buttons.size()) {\n            drawScrollBox(gd, gHeader, gButton, scrollBox, menuOpts, scrollBoxPosition);\n        }\n        else {\n            hideScrollBox(scrollBox);\n        }\n    }\n}\n\nfunction drawScrollBox(gd, gHeader, gButton, scrollBox, menuOpts, position) {\n    // enable the scrollbox\n    var direction = menuOpts.direction;\n    var isVertical = (direction === 'up' || direction === 'down');\n    var dims = menuOpts._dims;\n\n    var active = menuOpts.active,\n        translateX, translateY,\n        i;\n    if(isVertical) {\n        translateY = 0;\n        for(i = 0; i < active; i++) {\n            translateY += dims.heights[i] + constants.gapButton;\n        }\n    }\n    else {\n        translateX = 0;\n        for(i = 0; i < active; i++) {\n            translateX += dims.widths[i] + constants.gapButton;\n        }\n    }\n\n    scrollBox.enable(position, translateX, translateY);\n\n    if(scrollBox.hbar) {\n        scrollBox.hbar\n            .attr('opacity', '0')\n            .transition()\n            .attr('opacity', '1');\n    }\n\n    if(scrollBox.vbar) {\n        scrollBox.vbar\n            .attr('opacity', '0')\n            .transition()\n            .attr('opacity', '1');\n    }\n}\n\nfunction hideScrollBox(scrollBox) {\n    var hasHBar = !!scrollBox.hbar,\n        hasVBar = !!scrollBox.vbar;\n\n    if(hasHBar) {\n        scrollBox.hbar\n            .transition()\n            .attr('opacity', '0')\n            .each('end', function() {\n                hasHBar = false;\n                if(!hasVBar) scrollBox.disable();\n            });\n    }\n\n    if(hasVBar) {\n        scrollBox.vbar\n            .transition()\n            .attr('opacity', '0')\n            .each('end', function() {\n                hasVBar = false;\n                if(!hasHBar) scrollBox.disable();\n            });\n    }\n}\n\nfunction drawItem(item, menuOpts, itemOpts, gd) {\n    item.call(drawItemRect, menuOpts)\n        .call(drawItemText, menuOpts, itemOpts, gd);\n}\n\nfunction drawItemRect(item, menuOpts) {\n    var rect = Lib.ensureSingle(item, 'rect', constants.itemRectClassName, function(s) {\n        s.attr({\n            rx: constants.rx,\n            ry: constants.ry,\n            'shape-rendering': 'crispEdges'\n        });\n    });\n\n    rect.call(Color.stroke, menuOpts.bordercolor)\n        .call(Color.fill, menuOpts.bgcolor)\n        .style('stroke-width', menuOpts.borderwidth + 'px');\n}\n\nfunction drawItemText(item, menuOpts, itemOpts, gd) {\n    var text = Lib.ensureSingle(item, 'text', constants.itemTextClassName, function(s) {\n        s.classed('user-select-none', true)\n            .attr({\n                'text-anchor': 'start',\n                'data-notex': 1\n            });\n    });\n\n    text.call(Drawing.font, menuOpts.font)\n        .text(itemOpts.label)\n        .call(svgTextUtils.convertToTspans, gd);\n}\n\nfunction styleButtons(buttons, menuOpts) {\n    var active = menuOpts.active;\n\n    buttons.each(function(buttonOpts, i) {\n        var button = d3.select(this);\n\n        if(i === active && menuOpts.showactive) {\n            button.select('rect.' + constants.itemRectClassName)\n                .call(Color.fill, constants.activeColor);\n        }\n    });\n}\n\nfunction styleOnMouseOver(item) {\n    item.select('rect.' + constants.itemRectClassName)\n        .call(Color.fill, constants.hoverColor);\n}\n\nfunction styleOnMouseOut(item, menuOpts) {\n    item.select('rect.' + constants.itemRectClassName)\n        .call(Color.fill, menuOpts.bgcolor);\n}\n\n// find item dimensions (this mutates menuOpts)\nfunction findDimensions(gd, menuOpts) {\n    var dims = menuOpts._dims = {\n        width1: 0,\n        height1: 0,\n        heights: [],\n        widths: [],\n        totalWidth: 0,\n        totalHeight: 0,\n        openWidth: 0,\n        openHeight: 0,\n        lx: 0,\n        ly: 0\n    };\n\n    var fakeButtons = Drawing.tester.selectAll('g.' + constants.dropdownButtonClassName)\n        .data(Lib.filterVisible(menuOpts.buttons));\n\n    fakeButtons.enter().append('g')\n        .classed(constants.dropdownButtonClassName, true);\n\n    var isVertical = ['up', 'down'].indexOf(menuOpts.direction) !== -1;\n\n    // loop over fake buttons to find width / height\n    fakeButtons.each(function(buttonOpts, i) {\n        var button = d3.select(this);\n\n        button.call(drawItem, menuOpts, buttonOpts, gd);\n\n        var text = button.select('.' + constants.itemTextClassName);\n\n        // width is given by max width of all buttons\n        var tWidth = text.node() && Drawing.bBox(text.node()).width;\n        var wEff = Math.max(tWidth + constants.textPadX, constants.minWidth);\n\n        // height is determined by item text\n        var tHeight = menuOpts.font.size * LINE_SPACING;\n        var tLines = svgTextUtils.lineCount(text);\n        var hEff = Math.max(tHeight * tLines, constants.minHeight) + constants.textOffsetY;\n\n        hEff = Math.ceil(hEff);\n        wEff = Math.ceil(wEff);\n\n        // Store per-item sizes since a row of horizontal buttons, for example,\n        // don't all need to be the same width:\n        dims.widths[i] = wEff;\n        dims.heights[i] = hEff;\n\n        // Height and width of individual element:\n        dims.height1 = Math.max(dims.height1, hEff);\n        dims.width1 = Math.max(dims.width1, wEff);\n\n        if(isVertical) {\n            dims.totalWidth = Math.max(dims.totalWidth, wEff);\n            dims.openWidth = dims.totalWidth;\n            dims.totalHeight += hEff + constants.gapButton;\n            dims.openHeight += hEff + constants.gapButton;\n        } else {\n            dims.totalWidth += wEff + constants.gapButton;\n            dims.openWidth += wEff + constants.gapButton;\n            dims.totalHeight = Math.max(dims.totalHeight, hEff);\n            dims.openHeight = dims.totalHeight;\n        }\n    });\n\n    if(isVertical) {\n        dims.totalHeight -= constants.gapButton;\n    } else {\n        dims.totalWidth -= constants.gapButton;\n    }\n\n\n    dims.headerWidth = dims.width1 + constants.arrowPadX;\n    dims.headerHeight = dims.height1;\n\n    if(menuOpts.type === 'dropdown') {\n        if(isVertical) {\n            dims.width1 += constants.arrowPadX;\n            dims.totalHeight = dims.height1;\n        } else {\n            dims.totalWidth = dims.width1;\n        }\n        dims.totalWidth += constants.arrowPadX;\n    }\n\n    fakeButtons.remove();\n\n    var paddedWidth = dims.totalWidth + menuOpts.pad.l + menuOpts.pad.r;\n    var paddedHeight = dims.totalHeight + menuOpts.pad.t + menuOpts.pad.b;\n\n    var graphSize = gd._fullLayout._size;\n    dims.lx = graphSize.l + graphSize.w * menuOpts.x;\n    dims.ly = graphSize.t + graphSize.h * (1 - menuOpts.y);\n\n    var xanchor = 'left';\n    if(anchorUtils.isRightAnchor(menuOpts)) {\n        dims.lx -= paddedWidth;\n        xanchor = 'right';\n    }\n    if(anchorUtils.isCenterAnchor(menuOpts)) {\n        dims.lx -= paddedWidth / 2;\n        xanchor = 'center';\n    }\n\n    var yanchor = 'top';\n    if(anchorUtils.isBottomAnchor(menuOpts)) {\n        dims.ly -= paddedHeight;\n        yanchor = 'bottom';\n    }\n    if(anchorUtils.isMiddleAnchor(menuOpts)) {\n        dims.ly -= paddedHeight / 2;\n        yanchor = 'middle';\n    }\n\n    dims.totalWidth = Math.ceil(dims.totalWidth);\n    dims.totalHeight = Math.ceil(dims.totalHeight);\n    dims.lx = Math.round(dims.lx);\n    dims.ly = Math.round(dims.ly);\n\n    Plots.autoMargin(gd, autoMarginId(menuOpts), {\n        x: menuOpts.x,\n        y: menuOpts.y,\n        l: paddedWidth * ({right: 1, center: 0.5}[xanchor] || 0),\n        r: paddedWidth * ({left: 1, center: 0.5}[xanchor] || 0),\n        b: paddedHeight * ({top: 1, middle: 0.5}[yanchor] || 0),\n        t: paddedHeight * ({bottom: 1, middle: 0.5}[yanchor] || 0)\n    });\n}\n\nfunction autoMarginId(menuOpts) {\n    return constants.autoMarginIdRoot + menuOpts._index;\n}\n\n// set item positions (mutates posOpts)\nfunction setItemPosition(item, menuOpts, posOpts, overrideOpts) {\n    overrideOpts = overrideOpts || {};\n    var rect = item.select('.' + constants.itemRectClassName);\n    var text = item.select('.' + constants.itemTextClassName);\n    var borderWidth = menuOpts.borderwidth;\n    var index = posOpts.index;\n    var dims = menuOpts._dims;\n\n    Drawing.setTranslate(item, borderWidth + posOpts.x, borderWidth + posOpts.y);\n\n    var isVertical = ['up', 'down'].indexOf(menuOpts.direction) !== -1;\n    var finalHeight = overrideOpts.height || (isVertical ? dims.heights[index] : dims.height1);\n\n    rect.attr({\n        x: 0,\n        y: 0,\n        width: overrideOpts.width || (isVertical ? dims.width1 : dims.widths[index]),\n        height: finalHeight\n    });\n\n    var tHeight = menuOpts.font.size * LINE_SPACING;\n    var tLines = svgTextUtils.lineCount(text);\n    var spanOffset = ((tLines - 1) * tHeight / 2);\n\n    svgTextUtils.positionText(text, constants.textOffsetX,\n        finalHeight / 2 - spanOffset + constants.textOffsetY);\n\n    if(isVertical) {\n        posOpts.y += dims.heights[index] + posOpts.yPad;\n    } else {\n        posOpts.x += dims.widths[index] + posOpts.xPad;\n    }\n\n    posOpts.index++;\n}\n\nfunction removeAllButtons(gButton, newMenuIndexAttr) {\n    gButton\n        .attr(constants.menuIndexAttrName, newMenuIndexAttr || '-1')\n        .selectAll('g.' + constants.dropdownButtonClassName).remove();\n}\n\n},{\"../../constants/alignment\":668,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"../../plot_api/plot_template\":735,\"../../plots/plots\":809,\"../color\":570,\"../drawing\":595,\"../legend/anchor_utils\":622,\"./constants\":663,\"./scrollbox\":667,\"d3\":148}],666:[function(_dereq_,module,exports){\narguments[4][660][0].apply(exports,arguments)\n},{\"./attributes\":662,\"./constants\":663,\"./defaults\":664,\"./draw\":665,\"dup\":660}],667:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = ScrollBox;\n\nvar d3 = _dereq_('d3');\n\nvar Color = _dereq_('../color');\nvar Drawing = _dereq_('../drawing');\n\nvar Lib = _dereq_('../../lib');\n\n/**\n * Helper class to setup a scroll box\n *\n * @class\n * @param           gd          Plotly's graph div\n * @param           container   Container to be scroll-boxed (as a D3 selection)\n * @param {string}  id          Id for the clip path to implement the scroll box\n */\nfunction ScrollBox(gd, container, id) {\n    this.gd = gd;\n    this.container = container;\n    this.id = id;\n\n    // See ScrollBox.prototype.enable for further definition\n    this.position = null;  // scrollbox position\n    this.translateX = null;  // scrollbox horizontal translation\n    this.translateY = null;  // scrollbox vertical translation\n    this.hbar = null;  // horizontal scrollbar D3 selection\n    this.vbar = null;  // vertical scrollbar D3 selection\n\n    // <rect> element to capture pointer events\n    this.bg = this.container.selectAll('rect.scrollbox-bg').data([0]);\n\n    this.bg.exit()\n        .on('.drag', null)\n        .on('wheel', null)\n        .remove();\n\n    this.bg.enter().append('rect')\n        .classed('scrollbox-bg', true)\n        .style('pointer-events', 'all')\n        .attr({\n            opacity: 0,\n            x: 0,\n            y: 0,\n            width: 0,\n            height: 0\n        });\n}\n\n// scroll bar dimensions\nScrollBox.barWidth = 2;\nScrollBox.barLength = 20;\nScrollBox.barRadius = 2;\nScrollBox.barPad = 1;\nScrollBox.barColor = '#808BA4';\n\n/**\n * If needed, setup a clip path and scrollbars\n *\n * @method\n * @param {Object}  position\n * @param {number}  position.l  Left side position (in pixels)\n * @param {number}  position.t  Top side (in pixels)\n * @param {number}  position.w  Width (in pixels)\n * @param {number}  position.h  Height (in pixels)\n * @param {string}  [position.direction='down']\n *                  Either 'down', 'left', 'right' or 'up'\n * @param {number}  [translateX=0]  Horizontal offset (in pixels)\n * @param {number}  [translateY=0]  Vertical offset (in pixels)\n */\nScrollBox.prototype.enable = function enable(position, translateX, translateY) {\n    var fullLayout = this.gd._fullLayout,\n        fullWidth = fullLayout.width,\n        fullHeight = fullLayout.height;\n\n    // compute position of scrollbox\n    this.position = position;\n\n    var l = this.position.l,\n        w = this.position.w,\n        t = this.position.t,\n        h = this.position.h,\n        direction = this.position.direction,\n        isDown = (direction === 'down'),\n        isLeft = (direction === 'left'),\n        isRight = (direction === 'right'),\n        isUp = (direction === 'up'),\n        boxW = w,\n        boxH = h,\n        boxL, boxR,\n        boxT, boxB;\n\n    if(!isDown && !isLeft && !isRight && !isUp) {\n        this.position.direction = 'down';\n        isDown = true;\n    }\n\n    var isVertical = isDown || isUp;\n    if(isVertical) {\n        boxL = l;\n        boxR = boxL + boxW;\n\n        if(isDown) {\n            // anchor to top side\n            boxT = t;\n            boxB = Math.min(boxT + boxH, fullHeight);\n            boxH = boxB - boxT;\n        }\n        else {\n            // anchor to bottom side\n            boxB = t + boxH;\n            boxT = Math.max(boxB - boxH, 0);\n            boxH = boxB - boxT;\n        }\n    }\n    else {\n        boxT = t;\n        boxB = boxT + boxH;\n\n        if(isLeft) {\n            // anchor to right side\n            boxR = l + boxW;\n            boxL = Math.max(boxR - boxW, 0);\n            boxW = boxR - boxL;\n        }\n        else {\n            // anchor to left side\n            boxL = l;\n            boxR = Math.min(boxL + boxW, fullWidth);\n            boxW = boxR - boxL;\n        }\n    }\n\n    this._box = {\n        l: boxL,\n        t: boxT,\n        w: boxW,\n        h: boxH\n    };\n\n    // compute position of horizontal scroll bar\n    var needsHorizontalScrollBar = (w > boxW),\n        hbarW = ScrollBox.barLength + 2 * ScrollBox.barPad,\n        hbarH = ScrollBox.barWidth + 2 * ScrollBox.barPad,\n        // draw horizontal scrollbar on the bottom side\n        hbarL = l,\n        hbarT = t + h;\n\n    if(hbarT + hbarH > fullHeight) hbarT = fullHeight - hbarH;\n\n    var hbar = this.container.selectAll('rect.scrollbar-horizontal').data(\n            (needsHorizontalScrollBar) ? [0] : []);\n\n    hbar.exit()\n        .on('.drag', null)\n        .remove();\n\n    hbar.enter().append('rect')\n        .classed('scrollbar-horizontal', true)\n        .call(Color.fill, ScrollBox.barColor);\n\n    if(needsHorizontalScrollBar) {\n        this.hbar = hbar.attr({\n            'rx': ScrollBox.barRadius,\n            'ry': ScrollBox.barRadius,\n            'x': hbarL,\n            'y': hbarT,\n            'width': hbarW,\n            'height': hbarH\n        });\n\n        // hbar center moves between hbarXMin and hbarXMin + hbarTranslateMax\n        this._hbarXMin = hbarL + hbarW / 2;\n        this._hbarTranslateMax = boxW - hbarW;\n    }\n    else {\n        delete this.hbar;\n        delete this._hbarXMin;\n        delete this._hbarTranslateMax;\n    }\n\n    // compute position of vertical scroll bar\n    var needsVerticalScrollBar = (h > boxH),\n        vbarW = ScrollBox.barWidth + 2 * ScrollBox.barPad,\n        vbarH = ScrollBox.barLength + 2 * ScrollBox.barPad,\n        // draw vertical scrollbar on the right side\n        vbarL = l + w,\n        vbarT = t;\n\n    if(vbarL + vbarW > fullWidth) vbarL = fullWidth - vbarW;\n\n    var vbar = this.container.selectAll('rect.scrollbar-vertical').data(\n            (needsVerticalScrollBar) ? [0] : []);\n\n    vbar.exit()\n        .on('.drag', null)\n        .remove();\n\n    vbar.enter().append('rect')\n        .classed('scrollbar-vertical', true)\n        .call(Color.fill, ScrollBox.barColor);\n\n    if(needsVerticalScrollBar) {\n        this.vbar = vbar.attr({\n            'rx': ScrollBox.barRadius,\n            'ry': ScrollBox.barRadius,\n            'x': vbarL,\n            'y': vbarT,\n            'width': vbarW,\n            'height': vbarH\n        });\n\n        // vbar center moves between vbarYMin and vbarYMin + vbarTranslateMax\n        this._vbarYMin = vbarT + vbarH / 2;\n        this._vbarTranslateMax = boxH - vbarH;\n    }\n    else {\n        delete this.vbar;\n        delete this._vbarYMin;\n        delete this._vbarTranslateMax;\n    }\n\n    // setup a clip path (if scroll bars are needed)\n    var clipId = this.id,\n        clipL = boxL - 0.5,\n        clipR = (needsVerticalScrollBar) ? boxR + vbarW + 0.5 : boxR + 0.5,\n        clipT = boxT - 0.5,\n        clipB = (needsHorizontalScrollBar) ? boxB + hbarH + 0.5 : boxB + 0.5;\n\n    var clipPath = fullLayout._topdefs.selectAll('#' + clipId)\n        .data((needsHorizontalScrollBar || needsVerticalScrollBar) ? [0] : []);\n\n    clipPath.exit().remove();\n\n    clipPath.enter()\n        .append('clipPath').attr('id', clipId)\n        .append('rect');\n\n    if(needsHorizontalScrollBar || needsVerticalScrollBar) {\n        this._clipRect = clipPath.select('rect').attr({\n            x: Math.floor(clipL),\n            y: Math.floor(clipT),\n            width: Math.ceil(clipR) - Math.floor(clipL),\n            height: Math.ceil(clipB) - Math.floor(clipT)\n        });\n\n        this.container.call(Drawing.setClipUrl, clipId);\n\n        this.bg.attr({\n            x: l,\n            y: t,\n            width: w,\n            height: h\n        });\n    }\n    else {\n        this.bg.attr({\n            width: 0,\n            height: 0\n        });\n        this.container\n            .on('wheel', null)\n            .on('.drag', null)\n            .call(Drawing.setClipUrl, null);\n        delete this._clipRect;\n    }\n\n    // set up drag listeners (if scroll bars are needed)\n    if(needsHorizontalScrollBar || needsVerticalScrollBar) {\n        var onBoxDrag = d3.behavior.drag()\n            .on('dragstart', function() {\n                d3.event.sourceEvent.preventDefault();\n            })\n            .on('drag', this._onBoxDrag.bind(this));\n\n        this.container\n            .on('wheel', null)\n            .on('wheel', this._onBoxWheel.bind(this))\n            .on('.drag', null)\n            .call(onBoxDrag);\n\n        var onBarDrag = d3.behavior.drag()\n            .on('dragstart', function() {\n                d3.event.sourceEvent.preventDefault();\n                d3.event.sourceEvent.stopPropagation();\n            })\n            .on('drag', this._onBarDrag.bind(this));\n\n        if(needsHorizontalScrollBar) {\n            this.hbar\n                .on('.drag', null)\n                .call(onBarDrag);\n        }\n\n        if(needsVerticalScrollBar) {\n            this.vbar\n                .on('.drag', null)\n                .call(onBarDrag);\n        }\n    }\n\n    // set scrollbox translation\n    this.setTranslate(translateX, translateY);\n};\n\n/**\n * If present, remove clip-path and scrollbars\n *\n * @method\n */\nScrollBox.prototype.disable = function disable() {\n    if(this.hbar || this.vbar) {\n        this.bg.attr({\n            width: 0,\n            height: 0\n        });\n        this.container\n            .on('wheel', null)\n            .on('.drag', null)\n            .call(Drawing.setClipUrl, null);\n        delete this._clipRect;\n    }\n\n    if(this.hbar) {\n        this.hbar.on('.drag', null);\n        this.hbar.remove();\n        delete this.hbar;\n        delete this._hbarXMin;\n        delete this._hbarTranslateMax;\n    }\n\n    if(this.vbar) {\n        this.vbar.on('.drag', null);\n        this.vbar.remove();\n        delete this.vbar;\n        delete this._vbarYMin;\n        delete this._vbarTranslateMax;\n    }\n};\n\n/**\n * Handles scroll box drag events\n *\n * @method\n */\nScrollBox.prototype._onBoxDrag = function onBarDrag() {\n    var translateX = this.translateX,\n        translateY = this.translateY;\n\n    if(this.hbar) {\n        translateX -= d3.event.dx;\n    }\n\n    if(this.vbar) {\n        translateY -= d3.event.dy;\n    }\n\n    this.setTranslate(translateX, translateY);\n};\n\n/**\n * Handles scroll box wheel events\n *\n * @method\n */\nScrollBox.prototype._onBoxWheel = function onBarWheel() {\n    var translateX = this.translateX,\n        translateY = this.translateY;\n\n    if(this.hbar) {\n        translateX += d3.event.deltaY;\n    }\n\n    if(this.vbar) {\n        translateY += d3.event.deltaY;\n    }\n\n    this.setTranslate(translateX, translateY);\n};\n\n/**\n * Handles scroll bar drag events\n *\n * @method\n */\nScrollBox.prototype._onBarDrag = function onBarDrag() {\n    var translateX = this.translateX,\n        translateY = this.translateY;\n\n    if(this.hbar) {\n        var xMin = translateX + this._hbarXMin,\n            xMax = xMin + this._hbarTranslateMax,\n            x = Lib.constrain(d3.event.x, xMin, xMax),\n            xf = (x - xMin) / (xMax - xMin);\n\n        var translateXMax = this.position.w - this._box.w;\n\n        translateX = xf * translateXMax;\n    }\n\n    if(this.vbar) {\n        var yMin = translateY + this._vbarYMin,\n            yMax = yMin + this._vbarTranslateMax,\n            y = Lib.constrain(d3.event.y, yMin, yMax),\n            yf = (y - yMin) / (yMax - yMin);\n\n        var translateYMax = this.position.h - this._box.h;\n\n        translateY = yf * translateYMax;\n    }\n\n    this.setTranslate(translateX, translateY);\n};\n\n/**\n * Set clip path and scroll bar translate transform\n *\n * @method\n * @param {number}  [translateX=0]  Horizontal offset (in pixels)\n * @param {number}  [translateY=0]  Vertical offset (in pixels)\n */\nScrollBox.prototype.setTranslate = function setTranslate(translateX, translateY) {\n    // store translateX and translateY (needed by mouse event handlers)\n    var translateXMax = this.position.w - this._box.w,\n        translateYMax = this.position.h - this._box.h;\n\n    translateX = Lib.constrain(translateX || 0, 0, translateXMax);\n    translateY = Lib.constrain(translateY || 0, 0, translateYMax);\n\n    this.translateX = translateX;\n    this.translateY = translateY;\n\n    this.container.call(Drawing.setTranslate,\n        this._box.l - this.position.l - translateX,\n        this._box.t - this.position.t - translateY);\n\n    if(this._clipRect) {\n        this._clipRect.attr({\n            x: Math.floor(this.position.l + translateX - 0.5),\n            y: Math.floor(this.position.t + translateY - 0.5)\n        });\n    }\n\n    if(this.hbar) {\n        var xf = translateX / translateXMax;\n\n        this.hbar.call(Drawing.setTranslate,\n            translateX + xf * this._hbarTranslateMax,\n            translateY);\n    }\n\n    if(this.vbar) {\n        var yf = translateY / translateYMax;\n\n        this.vbar.call(Drawing.setTranslate,\n            translateX,\n            translateY + yf * this._vbarTranslateMax);\n    }\n};\n\n},{\"../../lib\":696,\"../color\":570,\"../drawing\":595,\"d3\":148}],668:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n// fraction of some size to get to a named position\nmodule.exports = {\n    // from bottom left: this is the origin of our paper-reference\n    // positioning system\n    FROM_BL: {\n        left: 0,\n        center: 0.5,\n        right: 1,\n        bottom: 0,\n        middle: 0.5,\n        top: 1\n    },\n    // from top left: this is the screen pixel positioning origin\n    FROM_TL: {\n        left: 0,\n        center: 0.5,\n        right: 1,\n        bottom: 1,\n        middle: 0.5,\n        top: 0\n    },\n    // from bottom right: sometimes you just need the opposite of ^^\n    FROM_BR: {\n        left: 1,\n        center: 0.5,\n        right: 0,\n        bottom: 0,\n        middle: 0.5,\n        top: 1\n    },\n    // multiple of fontSize to get the vertical offset between lines\n    LINE_SPACING: 1.3,\n\n    // multiple of fontSize to shift from the baseline to the midline\n    // (to use when we don't calculate this shift from Drawing.bBox)\n    // To be precise this should be half the cap height (capital letter)\n    // of the font, and according to wikipedia:\n    //   an \"average\" font might have a cap height of 70% of the em\n    // https://en.wikipedia.org/wiki/Em_(typography)#History\n    MID_SHIFT: 0.35,\n\n    OPPOSITE_SIDE: {\n        left: 'right',\n        right: 'left',\n        top: 'bottom',\n        bottom: 'top'\n    }\n};\n\n},{}],669:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    COMPARISON_OPS: ['=', '!=', '<', '>=', '>', '<='],\n    COMPARISON_OPS2: ['=', '<', '>=', '>', '<='],\n    INTERVAL_OPS: ['[]', '()', '[)', '(]', '][', ')(', '](', ')['],\n    SET_OPS: ['{}', '}{'],\n    CONSTRAINT_REDUCTION: {\n        // for contour constraints, open/closed endpoints are equivalent\n        '=': '=',\n\n        '<': '<',\n        '<=': '<',\n\n        '>': '>',\n        '>=': '>',\n\n        '[]': '[]',\n        '()': '[]',\n        '[)': '[]',\n        '(]': '[]',\n\n        '][': '][',\n        ')(': '][',\n        '](': '][',\n        ')[': ']['\n    }\n};\n\n},{}],670:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = {\n    solid: [[], 0],\n    dot: [[0.5, 1], 200],\n    dash: [[0.5, 1], 50],\n    longdash: [[0.5, 1], 10],\n    dashdot: [[0.5, 0.625, 0.875, 1], 50],\n    longdashdot: [[0.5, 0.7, 0.8, 1], 10]\n};\n\n},{}],671:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = {\n    circle: '●',\n    'circle-open': '○',\n    square: '■',\n    'square-open': '□',\n    diamond: '◆',\n    'diamond-open': '◇',\n    cross: '+',\n    x: '❌'\n};\n\n},{}],672:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n    /**\n     * Timing information for interactive elements\n     */\n    SHOW_PLACEHOLDER: 100,\n    HIDE_PLACEHOLDER: 1000,\n\n    // ms between first mousedown and 2nd mouseup to constitute dblclick...\n    // we don't seem to have access to the system setting\n    DBLCLICKDELAY: 300,\n\n    // opacity dimming fraction for points that are not in selection\n    DESELECTDIM: 0.2\n};\n\n},{}],673:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n    /**\n     * Standardize all missing data in calcdata to use undefined\n     * never null or NaN.\n     * That way we can use !==undefined, or !== BADNUM,\n     * to test for real data\n     */\n    BADNUM: undefined,\n\n    /*\n     * Limit certain operations to well below floating point max value\n     * to avoid glitches: Make sure that even when you multiply it by the\n     * number of pixels on a giant screen it still works\n     */\n    FP_SAFE: Number.MAX_VALUE / 10000,\n\n    /*\n     * conversion of date units to milliseconds\n     * year and month constants are marked \"AVG\"\n     * to remind us that not all years and months\n     * have the same length\n     */\n    ONEAVGYEAR: 31557600000, // 365.25 days\n    ONEAVGMONTH: 2629800000, // 1/12 of ONEAVGYEAR\n    ONEDAY: 86400000,\n    ONEHOUR: 3600000,\n    ONEMIN: 60000,\n    ONESEC: 1000,\n\n    /*\n     * For fast conversion btwn world calendars and epoch ms, the Julian Day Number\n     * of the unix epoch. From calendars.instance().newDate(1970, 1, 1).toJD()\n     */\n    EPOCHJD: 2440587.5,\n\n    /*\n     * Are two values nearly equal? Compare to 1PPM\n     */\n    ALMOST_EQUAL: 1 - 1e-6,\n\n    /*\n     * If we're asked to clip a non-positive log value, how far off-screen\n     * do we put it?\n     */\n    LOG_CLIP: 10,\n\n    /*\n     * not a number, but for displaying numbers: the \"minus sign\" symbol is\n     * wider than the regular ascii dash \"-\"\n     */\n    MINUS_SIGN: '\\u2212'\n};\n\n},{}],674:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nexports.xmlns = 'http://www.w3.org/2000/xmlns/';\nexports.svg = 'http://www.w3.org/2000/svg';\nexports.xlink = 'http://www.w3.org/1999/xlink';\n\n// the 'old' d3 quirk got fix in v3.5.7\n// https://github.com/mbostock/d3/commit/a6f66e9dd37f764403fc7c1f26be09ab4af24fed\nexports.svgAttrs = {\n    xmlns: exports.svg,\n    'xmlns:xlink': exports.xlink\n};\n\n},{}],675:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n// package version injected by `npm run preprocess`\nexports.version = '1.42.1';\n\n// inject promise polyfill\n_dereq_('es6-promise').polyfill();\n\n// inject plot css\n_dereq_('../build/plotcss');\n\n// inject default MathJax config\n_dereq_('./fonts/mathjax_config');\n\n// include registry module and expose register method\nvar Registry = _dereq_('./registry');\nvar register = exports.register = Registry.register;\n\n// expose plot api methods\nvar plotApi = _dereq_('./plot_api');\nvar methodNames = Object.keys(plotApi);\nfor(var i = 0; i < methodNames.length; i++) {\n    var name = methodNames[i];\n    exports[name] = plotApi[name];\n    register({\n        moduleType: 'apiMethod',\n        name: name,\n        fn: plotApi[name]\n    });\n}\n\n// scatter is the only trace included by default\nregister(_dereq_('./traces/scatter'));\n\n// register all registrable components modules\nregister([\n    _dereq_('./components/fx'),\n    _dereq_('./components/legend'),\n    _dereq_('./components/annotations'),\n    _dereq_('./components/annotations3d'),\n    _dereq_('./components/shapes'),\n    _dereq_('./components/images'),\n    _dereq_('./components/updatemenus'),\n    _dereq_('./components/sliders'),\n    _dereq_('./components/rangeslider'),\n    _dereq_('./components/rangeselector'),\n    _dereq_('./components/grid'),\n    _dereq_('./components/errorbars')\n]);\n\n// locales en and en-US are required for default behavior\nregister([\n    _dereq_('./locale-en'),\n    _dereq_('./locale-en-us')\n]);\n\n// plot icons\nexports.Icons = _dereq_('../build/ploticon');\n\n// unofficial 'beta' plot methods, use at your own risk\nexports.Plots = _dereq_('./plots/plots');\nexports.Fx = _dereq_('./components/fx');\nexports.Snapshot = _dereq_('./snapshot');\nexports.PlotSchema = _dereq_('./plot_api/plot_schema');\nexports.Queue = _dereq_('./lib/queue');\n\n// export d3 used in the bundle\nexports.d3 = _dereq_('d3');\n\n},{\"../build/plotcss\":1,\"../build/ploticon\":2,\"./components/annotations\":561,\"./components/annotations3d\":566,\"./components/errorbars\":601,\"./components/fx\":612,\"./components/grid\":616,\"./components/images\":621,\"./components/legend\":630,\"./components/rangeselector\":641,\"./components/rangeslider\":647,\"./components/shapes\":655,\"./components/sliders\":660,\"./components/updatemenus\":666,\"./fonts/mathjax_config\":676,\"./lib/queue\":712,\"./locale-en\":726,\"./locale-en-us\":725,\"./plot_api\":730,\"./plot_api/plot_schema\":734,\"./plots/plots\":809,\"./registry\":828,\"./snapshot\":833,\"./traces/scatter\":1056,\"d3\":148,\"es6-promise\":203}],676:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/* global MathJax:false */\n\n/**\n * Check and configure MathJax\n */\nif(typeof MathJax !== 'undefined') {\n    exports.MathJax = true;\n\n    var globalConfig = (window.PlotlyConfig || {}).MathJaxConfig !== 'local';\n\n    if(globalConfig) {\n        MathJax.Hub.Config({\n            messageStyle: 'none',\n            skipStartupTypeset: true,\n            displayAlign: 'left',\n            tex2jax: {\n                inlineMath: [['$', '$'], ['\\\\(', '\\\\)']]\n            }\n        });\n        MathJax.Hub.Configured();\n    }\n\n} else {\n    exports.MathJax = false;\n}\n\n},{}],677:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar modModule = _dereq_('./mod');\nvar mod = modModule.mod;\nvar modHalf = modModule.modHalf;\n\nvar PI = Math.PI;\nvar twoPI = 2 * PI;\n\nfunction deg2rad(deg) { return deg / 180 * PI; }\n\nfunction rad2deg(rad) { return rad / PI * 180; }\n\n/**\n * is sector a full circle?\n * ... this comes up a lot in SVG path-drawing routines\n *\n * N.B. we consider all sectors that span more that 2pi 'full' circles\n *\n * @param {2-item array} aBnds : angular bounds in *radians*\n * @return {boolean}\n */\nfunction isFullCircle(aBnds) {\n    return Math.abs(aBnds[1] - aBnds[0]) > twoPI - 1e-15;\n}\n\n/**\n * angular delta between angle 'a' and 'b'\n * solution taken from: https://stackoverflow.com/a/2007279\n *\n * @param {number} a : first angle in *radians*\n * @param {number} b : second angle in *radians*\n * @return {number} angular delta in *radians*\n */\nfunction angleDelta(a, b) {\n    return modHalf(b - a, twoPI);\n}\n\n/**\n * angular distance between angle 'a' and 'b'\n *\n * @param {number} a : first angle in *radians*\n * @param {number} b : second angle in *radians*\n * @return {number} angular distance in *radians*\n */\nfunction angleDist(a, b) {\n    return Math.abs(angleDelta(a, b));\n}\n\n/**\n * is angle inside sector?\n *\n * @param {number} a : angle to test in *radians*\n * @param {2-item array} aBnds : sector's angular bounds in *radians*\n * @param {boolean}\n */\nfunction isAngleInsideSector(a, aBnds) {\n    if(isFullCircle(aBnds)) return true;\n\n    var s0, s1;\n\n    if(aBnds[0] < aBnds[1]) {\n        s0 = aBnds[0];\n        s1 = aBnds[1];\n    } else {\n        s0 = aBnds[1];\n        s1 = aBnds[0];\n    }\n\n    s0 = mod(s0, twoPI);\n    s1 = mod(s1, twoPI);\n    if(s0 > s1) s1 += twoPI;\n\n    var a0 = mod(a, twoPI);\n    var a1 = a0 + twoPI;\n\n    return (a0 >= s0 && a0 <= s1) || (a1 >= s0 && a1 <= s1);\n}\n\n/**\n * is pt (r,a) inside sector?\n *\n * @param {number} r : pt's radial coordinate\n * @param {number} a : pt's angular coordinate in *radians*\n * @param {2-item array} rBnds : sector's radial bounds\n * @param {2-item array} aBnds : sector's angular bounds in *radians*\n * @return {boolean}\n */\nfunction isPtInsideSector(r, a, rBnds, aBnds) {\n    if(!isAngleInsideSector(a, aBnds)) return false;\n\n    var r0, r1;\n\n    if(rBnds[0] < rBnds[1]) {\n        r0 = rBnds[0];\n        r1 = rBnds[1];\n    } else {\n        r0 = rBnds[1];\n        r1 = rBnds[0];\n    }\n\n    return r >= r0 && r <= r1;\n}\n\n// common to pathArc, pathSector and pathAnnulus\nfunction _path(r0, r1, a0, a1, cx, cy, isClosed) {\n    cx = cx || 0;\n    cy = cy || 0;\n\n    var isCircle = isFullCircle([a0, a1]);\n    var aStart, aMid, aEnd;\n    var rStart, rEnd;\n\n    if(isCircle) {\n        aStart = 0;\n        aMid = PI;\n        aEnd = twoPI;\n    } else {\n        if(a0 < a1) {\n            aStart = a0;\n            aEnd = a1;\n        } else {\n            aStart = a1;\n            aEnd = a0;\n        }\n    }\n\n    if(r0 < r1) {\n        rStart = r0;\n        rEnd = r1;\n    } else {\n        rStart = r1;\n        rEnd = r0;\n    }\n\n    // N.B. svg coordinates here, where y increases downward\n    function pt(r, a) {\n        return [r * Math.cos(a) + cx, cy - r * Math.sin(a)];\n    }\n\n    var largeArc = Math.abs(aEnd - aStart) <= PI ? 0 : 1;\n    function arc(r, a, cw) {\n        return 'A' + [r, r] + ' ' + [0, largeArc, cw] + ' ' + pt(r, a);\n    }\n\n    var p;\n\n    if(isCircle) {\n        if(rStart === null) {\n            p = 'M' + pt(rEnd, aStart) +\n                arc(rEnd, aMid, 0) +\n                arc(rEnd, aEnd, 0) + 'Z';\n        } else {\n            p = 'M' + pt(rStart, aStart) +\n                arc(rStart, aMid, 0) +\n                arc(rStart, aEnd, 0) + 'Z' +\n                'M' + pt(rEnd, aStart) +\n                arc(rEnd, aMid, 1) +\n                arc(rEnd, aEnd, 1) + 'Z';\n        }\n    } else {\n        if(rStart === null) {\n            p = 'M' + pt(rEnd, aStart) + arc(rEnd, aEnd, 0);\n            if(isClosed) p += 'L0,0Z';\n        } else {\n            p = 'M' + pt(rStart, aStart) +\n                'L' + pt(rEnd, aStart) +\n                arc(rEnd, aEnd, 0) +\n                'L' + pt(rStart, aEnd) +\n                arc(rStart, aStart, 1) + 'Z';\n        }\n    }\n\n    return p;\n}\n\n/**\n * path an arc\n *\n * @param {number} r : radius\n * @param {number} a0 : first angular coordinate in *radians*\n * @param {number} a1 : second angular coordinate in *radians*\n * @param {number (optional)} cx : x coordinate of center\n * @param {number (optional)} cy : y coordinate of center\n * @return {string} svg path\n */\nfunction pathArc(r, a0, a1, cx, cy) {\n    return _path(null, r, a0, a1, cx, cy, 0);\n}\n\n/**\n * path a sector\n *\n * @param {number} r : radius\n * @param {number} a0 : first angular coordinate in *radians*\n * @param {number} a1 : second angular coordinate in *radians*\n * @param {number (optional)} cx : x coordinate of center\n * @param {number (optional)} cy : y coordinate of center\n * @return {string} svg path\n */\nfunction pathSector(r, a0, a1, cx, cy) {\n    return _path(null, r, a0, a1, cx, cy, 1);\n}\n\n/**\n * path an annulus\n *\n * @param {number} r0 : first radial coordinate\n * @param {number} r1 : second radial coordinate\n * @param {number} a0 : first angular coordinate in *radians*\n * @param {number} a1 : second angular coordinate in *radians*\n * @param {number (optional)} cx : x coordinate of center\n * @param {number (optional)} cy : y coordinate of center\n * @return {string} svg path\n */\nfunction pathAnnulus(r0, r1, a0, a1, cx, cy) {\n    return _path(r0, r1, a0, a1, cx, cy, 1);\n}\n\nmodule.exports = {\n    deg2rad: deg2rad,\n    rad2deg: rad2deg,\n    angleDelta: angleDelta,\n    angleDist: angleDist,\n    isFullCircle: isFullCircle,\n    isAngleInsideSector: isAngleInsideSector,\n    isPtInsideSector: isPtInsideSector,\n    pathArc: pathArc,\n    pathSector: pathSector,\n    pathAnnulus: pathAnnulus\n};\n\n},{\"./mod\":704}],678:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar BADNUM = _dereq_('../constants/numerical').BADNUM;\n\n// precompile for speed\nvar JUNK = /^['\"%,$#\\s']+|[, ]|['\"%,$#\\s']+$/g;\n\n/**\n * cleanNumber: remove common leading and trailing cruft\n * Always returns either a number or BADNUM.\n */\nmodule.exports = function cleanNumber(v) {\n    if(typeof v === 'string') {\n        v = v.replace(JUNK, '');\n    }\n\n    if(isNumeric(v)) return Number(v);\n\n    return BADNUM;\n};\n\n},{\"../constants/numerical\":673,\"fast-isnumeric\":214}],679:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/**\n * Clear gl frame (if any). This is a common pattern as\n * we usually set `preserveDrawingBuffer: true` during\n * gl context creation (e.g. via `reglUtils.prepare`).\n *\n * @param {DOM node or object} gd : graph div object\n */\nmodule.exports = function clearGlCanvases(gd) {\n    var fullLayout = gd._fullLayout;\n\n    if(fullLayout._glcanvas && fullLayout._glcanvas.size()) {\n        fullLayout._glcanvas.each(function(d) {\n            if(d.regl) d.regl.clear({color: true, depth: true});\n        });\n    }\n};\n\n},{}],680:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/**\n * Clear responsive handlers (if any).\n *\n * @param {DOM node or object} gd : graph div object\n */\nmodule.exports = function clearResponsive(gd) {\n    if(gd._responsiveChartHandler) {\n        window.removeEventListener('resize', gd._responsiveChartHandler);\n        delete gd._responsiveChartHandler;\n    }\n};\n\n},{}],681:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar tinycolor = _dereq_('tinycolor2');\n\nvar baseTraceAttrs = _dereq_('../plots/attributes');\nvar getColorscale = _dereq_('../components/colorscale/get_scale');\nvar colorscaleNames = Object.keys(_dereq_('../components/colorscale/scales'));\nvar nestedProperty = _dereq_('./nested_property');\nvar counterRegex = _dereq_('./regex').counter;\nvar DESELECTDIM = _dereq_('../constants/interactions').DESELECTDIM;\nvar modHalf = _dereq_('./mod').modHalf;\nvar isArrayOrTypedArray = _dereq_('./is_array').isArrayOrTypedArray;\n\nexports.valObjectMeta = {\n    data_array: {\n        // You can use *dflt=[] to force said array to exist though.\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt) {\n            // TODO maybe `v: {type: 'float32', vals: [/* ... */]}` also\n            if(isArrayOrTypedArray(v)) propOut.set(v);\n            else if(dflt !== undefined) propOut.set(dflt);\n        }\n    },\n    enumerated: {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt, opts) {\n            if(opts.coerceNumber) v = +v;\n            if(opts.values.indexOf(v) === -1) propOut.set(dflt);\n            else propOut.set(v);\n        },\n        validateFunction: function(v, opts) {\n            if(opts.coerceNumber) v = +v;\n\n            var values = opts.values;\n            for(var i = 0; i < values.length; i++) {\n                var k = String(values[i]);\n\n                if((k.charAt(0) === '/' && k.charAt(k.length - 1) === '/')) {\n                    var regex = new RegExp(k.substr(1, k.length - 2));\n                    if(regex.test(v)) return true;\n                } else if(v === values[i]) return true;\n            }\n            return false;\n        }\n    },\n    'boolean': {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt) {\n            if(v === true || v === false) propOut.set(v);\n            else propOut.set(dflt);\n        }\n    },\n    number: {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt, opts) {\n            if(!isNumeric(v) ||\n                    (opts.min !== undefined && v < opts.min) ||\n                    (opts.max !== undefined && v > opts.max)) {\n                propOut.set(dflt);\n            }\n            else propOut.set(+v);\n        }\n    },\n    integer: {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt, opts) {\n            if(v % 1 || !isNumeric(v) ||\n                    (opts.min !== undefined && v < opts.min) ||\n                    (opts.max !== undefined && v > opts.max)) {\n                propOut.set(dflt);\n            }\n            else propOut.set(+v);\n        }\n    },\n    string: {\n        \n        \n        // TODO 'values shouldn't be in there (edge case: 'dash' in Scatter)\n        \n        coerceFunction: function(v, propOut, dflt, opts) {\n            if(typeof v !== 'string') {\n                var okToCoerce = (typeof v === 'number');\n\n                if(opts.strict === true || !okToCoerce) propOut.set(dflt);\n                else propOut.set(String(v));\n            }\n            else if(opts.noBlank && !v) propOut.set(dflt);\n            else propOut.set(v);\n        }\n    },\n    color: {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt) {\n            if(tinycolor(v).isValid()) propOut.set(v);\n            else propOut.set(dflt);\n        }\n    },\n    colorlist: {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt) {\n            function isColor(color) {\n                return tinycolor(color).isValid();\n            }\n            if(!Array.isArray(v) || !v.length) propOut.set(dflt);\n            else if(v.every(isColor)) propOut.set(v);\n            else propOut.set(dflt);\n        }\n    },\n    colorscale: {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt) {\n            propOut.set(getColorscale(v, dflt));\n        }\n    },\n    angle: {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt) {\n            if(v === 'auto') propOut.set('auto');\n            else if(!isNumeric(v)) propOut.set(dflt);\n            else propOut.set(modHalf(+v, 360));\n        }\n    },\n    subplotid: {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt, opts) {\n            var regex = opts.regex || counterRegex(dflt);\n            if(typeof v === 'string' && regex.test(v)) {\n                propOut.set(v);\n                return;\n            }\n            propOut.set(dflt);\n        },\n        validateFunction: function(v, opts) {\n            var dflt = opts.dflt;\n\n            if(v === dflt) return true;\n            if(typeof v !== 'string') return false;\n            if(counterRegex(dflt).test(v)) return true;\n\n            return false;\n        }\n    },\n    flaglist: {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt, opts) {\n            if(typeof v !== 'string') {\n                propOut.set(dflt);\n                return;\n            }\n            if((opts.extras || []).indexOf(v) !== -1) {\n                propOut.set(v);\n                return;\n            }\n            var vParts = v.split('+'),\n                i = 0;\n            while(i < vParts.length) {\n                var vi = vParts[i];\n                if(opts.flags.indexOf(vi) === -1 || vParts.indexOf(vi) < i) {\n                    vParts.splice(i, 1);\n                }\n                else i++;\n            }\n            if(!vParts.length) propOut.set(dflt);\n            else propOut.set(vParts.join('+'));\n        }\n    },\n    any: {\n        \n        \n        \n        coerceFunction: function(v, propOut, dflt) {\n            if(v === undefined) propOut.set(dflt);\n            else propOut.set(v);\n        }\n    },\n    info_array: {\n        \n        \n        // set `dimensions=2` for a 2D array or '1-2' for either\n        // `items` may be a single object instead of an array, in which case\n        // `freeLength` must be true.\n        // if `dimensions='1-2'` and items is a 1D array, then the value can\n        // either be a matching 1D array or an array of such matching 1D arrays\n        \n        coerceFunction: function(v, propOut, dflt, opts) {\n\n            // simplified coerce function just for array items\n            function coercePart(v, opts, dflt) {\n                var out;\n                var propPart = {set: function(v) { out = v; }};\n\n                if(dflt === undefined) dflt = opts.dflt;\n\n                exports.valObjectMeta[opts.valType].coerceFunction(v, propPart, dflt, opts);\n\n                return out;\n            }\n\n            var twoD = opts.dimensions === 2 || (opts.dimensions === '1-2' && Array.isArray(v) && Array.isArray(v[0]));\n\n            if(!Array.isArray(v)) {\n                propOut.set(dflt);\n                return;\n            }\n\n            var items = opts.items;\n            var vOut = [];\n            var arrayItems = Array.isArray(items);\n            var arrayItems2D = arrayItems && twoD && Array.isArray(items[0]);\n            var innerItemsOnly = twoD && arrayItems && !arrayItems2D;\n            var len = (arrayItems && !innerItemsOnly) ? items.length : v.length;\n\n            var i, j, row, item, len2, vNew;\n\n            dflt = Array.isArray(dflt) ? dflt : [];\n\n            if(twoD) {\n                for(i = 0; i < len; i++) {\n                    vOut[i] = [];\n                    row = Array.isArray(v[i]) ? v[i] : [];\n                    if(innerItemsOnly) len2 = items.length;\n                    else if(arrayItems) len2 = items[i].length;\n                    else len2 = row.length;\n\n                    for(j = 0; j < len2; j++) {\n                        if(innerItemsOnly) item = items[j];\n                        else if(arrayItems) item = items[i][j];\n                        else item = items;\n\n                        vNew = coercePart(row[j], item, (dflt[i] || [])[j]);\n                        if(vNew !== undefined) vOut[i][j] = vNew;\n                    }\n                }\n            }\n            else {\n                for(i = 0; i < len; i++) {\n                    vNew = coercePart(v[i], arrayItems ? items[i] : items, dflt[i]);\n                    if(vNew !== undefined) vOut[i] = vNew;\n                }\n            }\n\n            propOut.set(vOut);\n        },\n        validateFunction: function(v, opts) {\n            if(!Array.isArray(v)) return false;\n\n            var items = opts.items;\n            var arrayItems = Array.isArray(items);\n            var twoD = opts.dimensions === 2;\n\n            // when free length is off, input and declared lengths must match\n            if(!opts.freeLength && v.length !== items.length) return false;\n\n            // valid when all input items are valid\n            for(var i = 0; i < v.length; i++) {\n                if(twoD) {\n                    if(!Array.isArray(v[i]) || (!opts.freeLength && v[i].length !== items[i].length)) {\n                        return false;\n                    }\n                    for(var j = 0; j < v[i].length; j++) {\n                        if(!validate(v[i][j], arrayItems ? items[i][j] : items)) {\n                            return false;\n                        }\n                    }\n                }\n                else if(!validate(v[i], arrayItems ? items[i] : items)) return false;\n            }\n\n            return true;\n        }\n    }\n};\n\n/**\n * Ensures that container[attribute] has a valid value.\n *\n * attributes[attribute] is an object with possible keys:\n * - valType: data_array, enumerated, boolean, ... as in valObjectMeta\n * - values: (enumerated only) array of allowed vals\n * - min, max: (number, integer only) inclusive bounds on allowed vals\n *      either or both may be omitted\n * - dflt: if attribute is invalid or missing, use this default\n *      if dflt is provided as an argument to lib.coerce it takes precedence\n *      as a convenience, returns the value it finally set\n */\nexports.coerce = function(containerIn, containerOut, attributes, attribute, dflt) {\n    var opts = nestedProperty(attributes, attribute).get();\n    var propIn = nestedProperty(containerIn, attribute);\n    var propOut = nestedProperty(containerOut, attribute);\n    var v = propIn.get();\n\n    var template = containerOut._template;\n    if(v === undefined && template) {\n        v = nestedProperty(template, attribute).get();\n        // already used the template value, so short-circuit the second check\n        template = 0;\n    }\n\n    if(dflt === undefined) dflt = opts.dflt;\n\n    /**\n     * arrayOk: value MAY be an array, then we do no value checking\n     * at this point, because it can be more complicated than the\n     * individual form (eg. some array vals can be numbers, even if the\n     * single values must be color strings)\n     */\n    if(opts.arrayOk && isArrayOrTypedArray(v)) {\n        propOut.set(v);\n        return v;\n    }\n\n    var coerceFunction = exports.valObjectMeta[opts.valType].coerceFunction;\n    coerceFunction(v, propOut, dflt, opts);\n\n    var out = propOut.get();\n    // in case v was provided but invalid, try the template again so it still\n    // overrides the regular default\n    if(template && out === dflt && !validate(v, opts)) {\n        v = nestedProperty(template, attribute).get();\n        coerceFunction(v, propOut, dflt, opts);\n        out = propOut.get();\n    }\n    return out;\n};\n\n/**\n * Variation on coerce\n *\n * Uses coerce to get attribute value if user input is valid,\n * returns attribute default if user input it not valid or\n * returns false if there is no user input.\n */\nexports.coerce2 = function(containerIn, containerOut, attributes, attribute, dflt) {\n    var propIn = nestedProperty(containerIn, attribute),\n        propOut = exports.coerce(containerIn, containerOut, attributes, attribute, dflt),\n        valIn = propIn.get();\n\n    return (valIn !== undefined && valIn !== null) ? propOut : false;\n};\n\n/*\n * Shortcut to coerce the three font attributes\n *\n * 'coerce' is a lib.coerce wrapper with implied first three arguments\n */\nexports.coerceFont = function(coerce, attr, dfltObj) {\n    var out = {};\n\n    dfltObj = dfltObj || {};\n\n    out.family = coerce(attr + '.family', dfltObj.family);\n    out.size = coerce(attr + '.size', dfltObj.size);\n    out.color = coerce(attr + '.color', dfltObj.color);\n\n    return out;\n};\n\n/** Coerce shortcut for 'hoverinfo'\n * handling 1-vs-multi-trace dflt logic\n *\n * @param {object} traceIn : user trace object\n * @param {object} traceOut : full trace object (requires _module ref)\n * @param {object} layoutOut : full layout object (require _dataLength ref)\n * @return {any} : the coerced value\n */\nexports.coerceHoverinfo = function(traceIn, traceOut, layoutOut) {\n    var moduleAttrs = traceOut._module.attributes;\n    var attrs = moduleAttrs.hoverinfo ? moduleAttrs : baseTraceAttrs;\n\n    var valObj = attrs.hoverinfo;\n    var dflt;\n\n    if(layoutOut._dataLength === 1) {\n        var flags = valObj.dflt === 'all' ?\n            valObj.flags.slice() :\n            valObj.dflt.split('+');\n\n        flags.splice(flags.indexOf('name'), 1);\n        dflt = flags.join('+');\n    }\n\n    return exports.coerce(traceIn, traceOut, attrs, 'hoverinfo', dflt);\n};\n\n/** Coerce shortcut for [un]selected.marker.opacity,\n *  which has special default logic, to ensure that it corresponds to the\n *  default selection behavior while allowing to be overtaken by any other\n *  [un]selected attribute.\n *\n *  N.B. This must be called *after* coercing all the other [un]selected attrs,\n *  to give the intended result.\n *\n * @param {object} traceOut : fullData item\n * @param {function} coerce : lib.coerce wrapper with implied first three arguments\n */\nexports.coerceSelectionMarkerOpacity = function(traceOut, coerce) {\n    if(!traceOut.marker) return;\n\n    var mo = traceOut.marker.opacity;\n    // you can still have a `marker` container with no markers if there's text\n    if(mo === undefined) return;\n\n    var smoDflt;\n    var usmoDflt;\n\n    // Don't give [un]selected.marker.opacity a default value if\n    // marker.opacity is an array: handle this during style step.\n    //\n    // Only give [un]selected.marker.opacity a default value if you don't\n    // set any other [un]selected attributes.\n    if(!isArrayOrTypedArray(mo) && !traceOut.selected && !traceOut.unselected) {\n        smoDflt = mo;\n        usmoDflt = DESELECTDIM * mo;\n    }\n\n    coerce('selected.marker.opacity', smoDflt);\n    coerce('unselected.marker.opacity', usmoDflt);\n};\n\nfunction validate(value, opts) {\n    var valObjectDef = exports.valObjectMeta[opts.valType];\n\n    if(opts.arrayOk && isArrayOrTypedArray(value)) return true;\n\n    if(valObjectDef.validateFunction) {\n        return valObjectDef.validateFunction(value, opts);\n    }\n\n    var failed = {},\n        out = failed,\n        propMock = { set: function(v) { out = v; } };\n\n    // 'failed' just something mutable that won't be === anything else\n\n    valObjectDef.coerceFunction(value, propMock, failed, opts);\n    return out !== failed;\n}\nexports.validate = validate;\n\n},{\"../components/colorscale/get_scale\":583,\"../components/colorscale/scales\":589,\"../constants/interactions\":672,\"../plots/attributes\":742,\"./is_array\":697,\"./mod\":704,\"./nested_property\":705,\"./regex\":713,\"fast-isnumeric\":214,\"tinycolor2\":514}],682:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Loggers = _dereq_('./loggers');\nvar mod = _dereq_('./mod').mod;\n\nvar constants = _dereq_('../constants/numerical');\nvar BADNUM = constants.BADNUM;\nvar ONEDAY = constants.ONEDAY;\nvar ONEHOUR = constants.ONEHOUR;\nvar ONEMIN = constants.ONEMIN;\nvar ONESEC = constants.ONESEC;\nvar EPOCHJD = constants.EPOCHJD;\n\nvar Registry = _dereq_('../registry');\n\nvar utcFormat = d3.time.format.utc;\n\nvar DATETIME_REGEXP = /^\\s*(-?\\d\\d\\d\\d|\\d\\d)(-(\\d?\\d)(-(\\d?\\d)([ Tt]([01]?\\d|2[0-3])(:([0-5]\\d)(:([0-5]\\d(\\.\\d+)?))?(Z|z|[+\\-]\\d\\d:?\\d\\d)?)?)?)?)?\\s*$/m;\n// special regex for chinese calendars to support yyyy-mmi-dd etc for intercalary months\nvar DATETIME_REGEXP_CN = /^\\s*(-?\\d\\d\\d\\d|\\d\\d)(-(\\d?\\di?)(-(\\d?\\d)([ Tt]([01]?\\d|2[0-3])(:([0-5]\\d)(:([0-5]\\d(\\.\\d+)?))?(Z|z|[+\\-]\\d\\d:?\\d\\d)?)?)?)?)?\\s*$/m;\n\n// for 2-digit years, the first year we map them onto\nvar YFIRST = new Date().getFullYear() - 70;\n\nfunction isWorldCalendar(calendar) {\n    return (\n        calendar &&\n        Registry.componentsRegistry.calendars &&\n        typeof calendar === 'string' && calendar !== 'gregorian'\n    );\n}\n\n/*\n * dateTick0: get the canonical tick for this calendar\n *\n * bool sunday is for week ticks, shift it to a Sunday.\n */\nexports.dateTick0 = function(calendar, sunday) {\n    if(isWorldCalendar(calendar)) {\n        return sunday ?\n            Registry.getComponentMethod('calendars', 'CANONICAL_SUNDAY')[calendar] :\n            Registry.getComponentMethod('calendars', 'CANONICAL_TICK')[calendar];\n    }\n    else {\n        return sunday ? '2000-01-02' : '2000-01-01';\n    }\n};\n\n/*\n * dfltRange: for each calendar, give a valid default range\n */\nexports.dfltRange = function(calendar) {\n    if(isWorldCalendar(calendar)) {\n        return Registry.getComponentMethod('calendars', 'DFLTRANGE')[calendar];\n    }\n    else {\n        return ['2000-01-01', '2001-01-01'];\n    }\n};\n\n// is an object a javascript date?\nexports.isJSDate = function(v) {\n    return typeof v === 'object' && v !== null && typeof v.getTime === 'function';\n};\n\n// The absolute limits of our date-time system\n// This is a little weird: we use MIN_MS and MAX_MS in dateTime2ms\n// but we use dateTime2ms to calculate them (after defining it!)\nvar MIN_MS, MAX_MS;\n\n/**\n * dateTime2ms - turn a date object or string s into milliseconds\n * (relative to 1970-01-01, per javascript standard)\n * optional calendar (string) to use a non-gregorian calendar\n *\n * Returns BADNUM if it doesn't find a date\n *\n * strings should have the form:\n *\n *    -?YYYY-mm-dd<sep>HH:MM:SS.sss<tzInfo>?\n *\n * <sep>: space (our normal standard) or T or t (ISO-8601)\n * <tzInfo>: Z, z, or [+\\-]HH:?MM and we THROW IT AWAY\n * this format comes from https://tools.ietf.org/html/rfc3339#section-5.6\n * but we allow it even with a space as the separator\n *\n * May truncate after any full field, and sss can be any length\n * even >3 digits, though javascript dates truncate to milliseconds,\n * we keep as much as javascript numeric precision can hold, but we only\n * report back up to 100 microsecond precision, because most dates support\n * this precision (close to 1970 support more, very far away support less)\n *\n * Expanded to support negative years to -9999 but you must always\n * give 4 digits, except for 2-digit positive years which we assume are\n * near the present time.\n * Note that we follow ISO 8601:2004: there *is* a year 0, which\n * is 1BC/BCE, and -1===2BC etc.\n *\n * World calendars: not all of these *have* agreed extensions to this full range,\n * if you have another calendar system but want a date range outside its validity,\n * you can use a gregorian date string prefixed with 'G' or 'g'.\n *\n * Where to cut off 2-digit years between 1900s and 2000s?\n * from http://support.microsoft.com/kb/244664:\n *   1930-2029 (the most retro of all...)\n * but in my mac chrome from eg. d=new Date(Date.parse('8/19/50')):\n *   1950-2049\n * by Java, from http://stackoverflow.com/questions/2024273/:\n *   now-80 - now+19\n * or FileMaker Pro, from\n *      http://www.filemaker.com/12help/html/add_view_data.4.21.html:\n *   now-70 - now+29\n * but python strptime etc, via\n *      http://docs.python.org/py3k/library/time.html:\n *   1969-2068 (super forward-looking, but static, not sliding!)\n *\n * lets go with now-70 to now+29, and if anyone runs into this problem\n * they can learn the hard way not to use 2-digit years, as no choice we\n * make now will cover all possibilities. mostly this will all be taken\n * care of in initial parsing, should only be an issue for hand-entered data\n * currently (2016) this range is:\n *   1946-2045\n */\nexports.dateTime2ms = function(s, calendar) {\n    // first check if s is a date object\n    if(exports.isJSDate(s)) {\n        // Convert to the UTC milliseconds that give the same\n        // hours as this date has in the local timezone\n        var tzOffset = s.getTimezoneOffset() * ONEMIN;\n        var offsetTweak = (s.getUTCMinutes() - s.getMinutes()) * ONEMIN +\n            (s.getUTCSeconds() - s.getSeconds()) * ONESEC +\n            (s.getUTCMilliseconds() - s.getMilliseconds());\n\n        if(offsetTweak) {\n            var comb = 3 * ONEMIN;\n            tzOffset = tzOffset - comb / 2 + mod(offsetTweak - tzOffset + comb / 2, comb);\n        }\n        s = Number(s) - tzOffset;\n        if(s >= MIN_MS && s <= MAX_MS) return s;\n        return BADNUM;\n    }\n    // otherwise only accept strings and numbers\n    if(typeof s !== 'string' && typeof s !== 'number') return BADNUM;\n\n    s = String(s);\n\n    var isWorld = isWorldCalendar(calendar);\n\n    // to handle out-of-range dates in international calendars, accept\n    // 'G' as a prefix to force the built-in gregorian calendar.\n    var s0 = s.charAt(0);\n    if(isWorld && (s0 === 'G' || s0 === 'g')) {\n        s = s.substr(1);\n        calendar = '';\n    }\n\n    var isChinese = isWorld && calendar.substr(0, 7) === 'chinese';\n\n    var match = s.match(isChinese ? DATETIME_REGEXP_CN : DATETIME_REGEXP);\n    if(!match) return BADNUM;\n    var y = match[1],\n        m = match[3] || '1',\n        d = Number(match[5] || 1),\n        H = Number(match[7] || 0),\n        M = Number(match[9] || 0),\n        S = Number(match[11] || 0);\n\n    if(isWorld) {\n        // disallow 2-digit years for world calendars\n        if(y.length === 2) return BADNUM;\n        y = Number(y);\n\n        var cDate;\n        try {\n            var calInstance = Registry.getComponentMethod('calendars', 'getCal')(calendar);\n            if(isChinese) {\n                var isIntercalary = m.charAt(m.length - 1) === 'i';\n                m = parseInt(m, 10);\n                cDate = calInstance.newDate(y, calInstance.toMonthIndex(y, m, isIntercalary), d);\n            }\n            else {\n                cDate = calInstance.newDate(y, Number(m), d);\n            }\n        }\n        catch(e) { return BADNUM; } // Invalid ... date\n\n        if(!cDate) return BADNUM;\n\n        return ((cDate.toJD() - EPOCHJD) * ONEDAY) +\n            (H * ONEHOUR) + (M * ONEMIN) + (S * ONESEC);\n    }\n\n    if(y.length === 2) {\n        y = (Number(y) + 2000 - YFIRST) % 100 + YFIRST;\n    }\n    else y = Number(y);\n\n    // new Date uses months from 0; subtract 1 here just so we\n    // don't have to do it again during the validity test below\n    m -= 1;\n\n    // javascript takes new Date(0..99,m,d) to mean 1900-1999, so\n    // to support years 0-99 we need to use setFullYear explicitly\n    // Note that 2000 is a leap year.\n    var date = new Date(Date.UTC(2000, m, d, H, M));\n    date.setUTCFullYear(y);\n\n    if(date.getUTCMonth() !== m) return BADNUM;\n    if(date.getUTCDate() !== d) return BADNUM;\n\n    return date.getTime() + S * ONESEC;\n};\n\nMIN_MS = exports.MIN_MS = exports.dateTime2ms('-9999');\nMAX_MS = exports.MAX_MS = exports.dateTime2ms('9999-12-31 23:59:59.9999');\n\n// is string s a date? (see above)\nexports.isDateTime = function(s, calendar) {\n    return (exports.dateTime2ms(s, calendar) !== BADNUM);\n};\n\n// pad a number with zeroes, to given # of digits before the decimal point\nfunction lpad(val, digits) {\n    return String(val + Math.pow(10, digits)).substr(1);\n}\n\n/**\n * Turn ms into string of the form YYYY-mm-dd HH:MM:SS.ssss\n * Crop any trailing zeros in time, except never stop right after hours\n * (we could choose to crop '-01' from date too but for now we always\n * show the whole date)\n * Optional range r is the data range that applies, also in ms.\n * If rng is big, the later parts of time will be omitted\n */\nvar NINETYDAYS = 90 * ONEDAY;\nvar THREEHOURS = 3 * ONEHOUR;\nvar FIVEMIN = 5 * ONEMIN;\nexports.ms2DateTime = function(ms, r, calendar) {\n    if(typeof ms !== 'number' || !(ms >= MIN_MS && ms <= MAX_MS)) return BADNUM;\n\n    if(!r) r = 0;\n\n    var msecTenths = Math.floor(mod(ms + 0.05, 1) * 10),\n        msRounded = Math.round(ms - msecTenths / 10),\n        dateStr, h, m, s, msec10, d;\n\n    if(isWorldCalendar(calendar)) {\n        var dateJD = Math.floor(msRounded / ONEDAY) + EPOCHJD,\n            timeMs = Math.floor(mod(ms, ONEDAY));\n        try {\n            dateStr = Registry.getComponentMethod('calendars', 'getCal')(calendar)\n                .fromJD(dateJD).formatDate('yyyy-mm-dd');\n        }\n        catch(e) {\n            // invalid date in this calendar - fall back to Gyyyy-mm-dd\n            dateStr = utcFormat('G%Y-%m-%d')(new Date(msRounded));\n        }\n\n        // yyyy does NOT guarantee 4-digit years. YYYY mostly does, but does\n        // other things for a few calendars, so we can't trust it. Just pad\n        // it manually (after the '-' if there is one)\n        if(dateStr.charAt(0) === '-') {\n            while(dateStr.length < 11) dateStr = '-0' + dateStr.substr(1);\n        }\n        else {\n            while(dateStr.length < 10) dateStr = '0' + dateStr;\n        }\n\n        // TODO: if this is faster, we could use this block for extracting\n        // the time components of regular gregorian too\n        h = (r < NINETYDAYS) ? Math.floor(timeMs / ONEHOUR) : 0;\n        m = (r < NINETYDAYS) ? Math.floor((timeMs % ONEHOUR) / ONEMIN) : 0;\n        s = (r < THREEHOURS) ? Math.floor((timeMs % ONEMIN) / ONESEC) : 0;\n        msec10 = (r < FIVEMIN) ? (timeMs % ONESEC) * 10 + msecTenths : 0;\n    }\n    else {\n        d = new Date(msRounded);\n\n        dateStr = utcFormat('%Y-%m-%d')(d);\n\n        // <90 days: add hours and minutes - never *only* add hours\n        h = (r < NINETYDAYS) ? d.getUTCHours() : 0;\n        m = (r < NINETYDAYS) ? d.getUTCMinutes() : 0;\n        // <3 hours: add seconds\n        s = (r < THREEHOURS) ? d.getUTCSeconds() : 0;\n        // <5 minutes: add ms (plus one extra digit, this is msec*10)\n        msec10 = (r < FIVEMIN) ? d.getUTCMilliseconds() * 10 + msecTenths : 0;\n    }\n\n    return includeTime(dateStr, h, m, s, msec10);\n};\n\n// For converting old-style milliseconds to date strings,\n// we use the local timezone rather than UTC like we use\n// everywhere else, both for backward compatibility and\n// because that's how people mostly use javasript date objects.\n// Clip one extra day off our date range though so we can't get\n// thrown beyond the range by the timezone shift.\nexports.ms2DateTimeLocal = function(ms) {\n    if(!(ms >= MIN_MS + ONEDAY && ms <= MAX_MS - ONEDAY)) return BADNUM;\n\n    var msecTenths = Math.floor(mod(ms + 0.05, 1) * 10),\n        d = new Date(Math.round(ms - msecTenths / 10)),\n        dateStr = d3.time.format('%Y-%m-%d')(d),\n        h = d.getHours(),\n        m = d.getMinutes(),\n        s = d.getSeconds(),\n        msec10 = d.getUTCMilliseconds() * 10 + msecTenths;\n\n    return includeTime(dateStr, h, m, s, msec10);\n};\n\nfunction includeTime(dateStr, h, m, s, msec10) {\n    // include each part that has nonzero data in or after it\n    if(h || m || s || msec10) {\n        dateStr += ' ' + lpad(h, 2) + ':' + lpad(m, 2);\n        if(s || msec10) {\n            dateStr += ':' + lpad(s, 2);\n            if(msec10) {\n                var digits = 4;\n                while(msec10 % 10 === 0) {\n                    digits -= 1;\n                    msec10 /= 10;\n                }\n                dateStr += '.' + lpad(msec10, digits);\n            }\n        }\n    }\n    return dateStr;\n}\n\n// normalize date format to date string, in case it starts as\n// a Date object or milliseconds\n// optional dflt is the return value if cleaning fails\nexports.cleanDate = function(v, dflt, calendar) {\n    // let us use cleanDate to provide a missing default without an error\n    if(v === BADNUM) return dflt;\n    if(exports.isJSDate(v) || (typeof v === 'number' && isFinite(v))) {\n        // do not allow milliseconds (old) or jsdate objects (inherently\n        // described as gregorian dates) with world calendars\n        if(isWorldCalendar(calendar)) {\n            Loggers.error('JS Dates and milliseconds are incompatible with world calendars', v);\n            return dflt;\n        }\n\n        // NOTE: if someone puts in a year as a number rather than a string,\n        // this will mistakenly convert it thinking it's milliseconds from 1970\n        // that is: '2012' -> Jan. 1, 2012, but 2012 -> 2012 epoch milliseconds\n        v = exports.ms2DateTimeLocal(+v);\n        if(!v && dflt !== undefined) return dflt;\n    }\n    else if(!exports.isDateTime(v, calendar)) {\n        Loggers.error('unrecognized date', v);\n        return dflt;\n    }\n    return v;\n};\n\n/*\n *  Date formatting for ticks and hovertext\n */\n\n/*\n * modDateFormat: Support world calendars, and add one item to\n * d3's vocabulary:\n * %{n}f where n is the max number of digits of fractional seconds\n */\nvar fracMatch = /%\\d?f/g;\nfunction modDateFormat(fmt, x, formatter, calendar) {\n\n    fmt = fmt.replace(fracMatch, function(match) {\n        var digits = Math.min(+(match.charAt(1)) || 6, 6),\n            fracSecs = ((x / 1000 % 1) + 2)\n                .toFixed(digits)\n                .substr(2).replace(/0+$/, '') || '0';\n        return fracSecs;\n    });\n\n    var d = new Date(Math.floor(x + 0.05));\n\n    if(isWorldCalendar(calendar)) {\n        try {\n            fmt = Registry.getComponentMethod('calendars', 'worldCalFmt')(fmt, x, calendar);\n        }\n        catch(e) {\n            return 'Invalid';\n        }\n    }\n    return formatter(fmt)(d);\n}\n\n/*\n * formatTime: create a time string from:\n *   x: milliseconds\n *   tr: tickround ('M', 'S', or # digits)\n * only supports UTC times (where every day is 24 hours and 0 is at midnight)\n */\nvar MAXSECONDS = [59, 59.9, 59.99, 59.999, 59.9999];\nfunction formatTime(x, tr) {\n    var timePart = mod(x + 0.05, ONEDAY);\n\n    var timeStr = lpad(Math.floor(timePart / ONEHOUR), 2) + ':' +\n        lpad(mod(Math.floor(timePart / ONEMIN), 60), 2);\n\n    if(tr !== 'M') {\n        if(!isNumeric(tr)) tr = 0; // should only be 'S'\n\n        /*\n         * this is a weird one - and shouldn't come up unless people\n         * monkey with tick0 in weird ways, but we need to do something!\n         * IN PARTICULAR we had better not display garbage (see below)\n         * for numbers we always round to the nearest increment of the\n         * precision we're showing, and this seems like the right way to\n         * handle seconds and milliseconds, as they have a decimal point\n         * and people will interpret that to mean rounding like numbers.\n         * but for larger increments we floor the value: it's always\n         * 2013 until the ball drops on the new year. We could argue about\n         * which field it is where we start rounding (should 12:08:59\n         * round to 12:09 if we're stopping at minutes?) but for now I'll\n         * say we round seconds but floor everything else. BUT that means\n         * we need to never round up to 60 seconds, ie 23:59:60\n         */\n        var sec = Math.min(mod(x / ONESEC, 60), MAXSECONDS[tr]);\n\n        var secStr = (100 + sec).toFixed(tr).substr(1);\n        if(tr > 0) {\n            secStr = secStr.replace(/0+$/, '').replace(/[\\.]$/, '');\n        }\n\n        timeStr += ':' + secStr;\n    }\n    return timeStr;\n}\n\n/*\n * formatDate: turn a date into tick or hover label text.\n *\n *   x: milliseconds, the value to convert\n *   fmt: optional, an explicit format string (d3 format, even for world calendars)\n *   tr: tickround ('y', 'm', 'd', 'M', 'S', or # digits)\n *      used if no explicit fmt is provided\n *   formatter: locale-aware d3 date formatter for standard gregorian calendars\n *      should be the result of exports.getD3DateFormat(gd)\n *   calendar: optional string, the world calendar system to use\n *\n * returns the date/time as a string, potentially with the leading portion\n * on a separate line (after '\\n')\n * Note that this means if you provide an explicit format which includes '\\n'\n * the axis may choose to strip things after it when they don't change from\n * one tick to the next (as it does with automatic formatting)\n */\nexports.formatDate = function(x, fmt, tr, formatter, calendar, extraFormat) {\n    calendar = isWorldCalendar(calendar) && calendar;\n\n    if(!fmt) {\n        if(tr === 'y') fmt = extraFormat.year;\n        else if(tr === 'm') fmt = extraFormat.month;\n        else if(tr === 'd') {\n            fmt = extraFormat.dayMonth + '\\n' + extraFormat.year;\n        }\n        else {\n            return formatTime(x, tr) + '\\n' + modDateFormat(extraFormat.dayMonthYear, x, formatter, calendar);\n        }\n    }\n\n    return modDateFormat(fmt, x, formatter, calendar);\n};\n\n/*\n * incrementMonth: make a new milliseconds value from the given one,\n * having changed the month\n *\n * special case for world calendars: multiples of 12 are treated as years,\n * even for calendar systems that don't have (always or ever) 12 months/year\n * TODO: perhaps we need a different code for year increments to support this?\n *\n * ms (number): the initial millisecond value\n * dMonth (int): the (signed) number of months to shift\n * calendar (string): the calendar system to use\n *\n * changing month does not (and CANNOT) always preserve day, since\n * months have different lengths. The worst example of this is:\n *   d = new Date(1970,0,31); d.setMonth(1) -> Feb 31 turns into Mar 3\n *\n * But we want to be able to iterate over the last day of each month,\n * regardless of what its number is.\n * So shift 3 days forward, THEN set the new month, then unshift:\n *   1/31 -> 2/28 (or 29) -> 3/31 -> 4/30 -> ...\n *\n * Note that odd behavior still exists if you start from the 26th-28th:\n *   1/28 -> 2/28 -> 3/31\n * but at least you can't shift any dates into the wrong month,\n * and ticks on these days incrementing by month would be very unusual\n */\nvar THREEDAYS = 3 * ONEDAY;\nexports.incrementMonth = function(ms, dMonth, calendar) {\n    calendar = isWorldCalendar(calendar) && calendar;\n\n    // pull time out and operate on pure dates, then add time back at the end\n    // this gives maximum precision - not that we *normally* care if we're\n    // incrementing by month, but better to be safe!\n    var timeMs = mod(ms, ONEDAY);\n    ms = Math.round(ms - timeMs);\n\n    if(calendar) {\n        try {\n            var dateJD = Math.round(ms / ONEDAY) + EPOCHJD,\n                calInstance = Registry.getComponentMethod('calendars', 'getCal')(calendar),\n                cDate = calInstance.fromJD(dateJD);\n\n            if(dMonth % 12) calInstance.add(cDate, dMonth, 'm');\n            else calInstance.add(cDate, dMonth / 12, 'y');\n\n            return (cDate.toJD() - EPOCHJD) * ONEDAY + timeMs;\n        }\n        catch(e) {\n            Loggers.error('invalid ms ' + ms + ' in calendar ' + calendar);\n            // then keep going in gregorian even though the result will be 'Invalid'\n        }\n    }\n\n    var y = new Date(ms + THREEDAYS);\n    return y.setUTCMonth(y.getUTCMonth() + dMonth) + timeMs - THREEDAYS;\n};\n\n/*\n * findExactDates: what fraction of data is exact days, months, or years?\n *\n * data: array of millisecond values\n * calendar (string) the calendar to test against\n */\nexports.findExactDates = function(data, calendar) {\n    var exactYears = 0,\n        exactMonths = 0,\n        exactDays = 0,\n        blankCount = 0,\n        d,\n        di;\n\n    var calInstance = (\n        isWorldCalendar(calendar) &&\n        Registry.getComponentMethod('calendars', 'getCal')(calendar)\n    );\n\n    for(var i = 0; i < data.length; i++) {\n        di = data[i];\n\n        // not date data at all\n        if(!isNumeric(di)) {\n            blankCount ++;\n            continue;\n        }\n\n        // not an exact date\n        if(di % ONEDAY) continue;\n\n        if(calInstance) {\n            try {\n                d = calInstance.fromJD(di / ONEDAY + EPOCHJD);\n                if(d.day() === 1) {\n                    if(d.month() === 1) exactYears++;\n                    else exactMonths++;\n                }\n                else exactDays++;\n            }\n            catch(e) {\n                // invalid date in this calendar - ignore it here.\n            }\n        }\n        else {\n            d = new Date(di);\n            if(d.getUTCDate() === 1) {\n                if(d.getUTCMonth() === 0) exactYears++;\n                else exactMonths++;\n            }\n            else exactDays++;\n        }\n    }\n    exactMonths += exactYears;\n    exactDays += exactMonths;\n\n    var dataCount = data.length - blankCount;\n\n    return {\n        exactYears: exactYears / dataCount,\n        exactMonths: exactMonths / dataCount,\n        exactDays: exactDays / dataCount\n    };\n};\n\n},{\"../constants/numerical\":673,\"../registry\":828,\"./loggers\":701,\"./mod\":704,\"d3\":148,\"fast-isnumeric\":214}],683:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/*\n * Ensures an array has the right amount of storage space. If it doesn't\n * exist, it creates an array. If it does exist, it returns it if too\n * short or truncates it in-place.\n *\n * The goal is to just reuse memory to avoid a bit of excessive garbage\n * collection.\n */\nmodule.exports = function ensureArray(out, n) {\n    if(!Array.isArray(out)) out = [];\n\n    // If too long, truncate. (If too short, it will grow\n    // automatically so we don't care about that case)\n    out.length = n;\n\n    return out;\n};\n\n},{}],684:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n/* global jQuery:false */\n\nvar EventEmitter = _dereq_('events').EventEmitter;\n\nvar Events = {\n\n    init: function(plotObj) {\n\n        /*\n         * If we have already instantiated an emitter for this plot\n         * return early.\n         */\n        if(plotObj._ev instanceof EventEmitter) return plotObj;\n\n        var ev = new EventEmitter();\n        var internalEv = new EventEmitter();\n\n        /*\n         * Assign to plot._ev while we still live in a land\n         * where plot is a DOM element with stuff attached to it.\n         * In the future we can make plot the event emitter itself.\n         */\n        plotObj._ev = ev;\n\n        /*\n         * Create a second event handler that will manage events *internally*.\n         * This allows parts of plotly to respond to thing like relayout without\n         * having to use the user-facing event handler. They cannot peacefully\n         * coexist on the same handler because a user invoking\n         * plotObj.removeAllListeners() would detach internal events, breaking\n         * plotly.\n         */\n        plotObj._internalEv = internalEv;\n\n        /*\n         * Assign bound methods from the ev to the plot object. These methods\n         * will reference the 'this' of plot._ev even though they are methods\n         * of plot. This will keep the event machinery away from the plot object\n         * which currently is often a DOM element but presents an API that will\n         * continue to function when plot becomes an emitter. Not all EventEmitter\n         * methods have been bound to `plot` as some do not currently add value to\n         * the Plotly event API.\n         */\n        plotObj.on = ev.on.bind(ev);\n        plotObj.once = ev.once.bind(ev);\n        plotObj.removeListener = ev.removeListener.bind(ev);\n        plotObj.removeAllListeners = ev.removeAllListeners.bind(ev);\n\n        /*\n         * Create functions for managing internal events. These are *only* triggered\n         * by the mirroring of external events via the emit function.\n         */\n        plotObj._internalOn = internalEv.on.bind(internalEv);\n        plotObj._internalOnce = internalEv.once.bind(internalEv);\n        plotObj._removeInternalListener = internalEv.removeListener.bind(internalEv);\n        plotObj._removeAllInternalListeners = internalEv.removeAllListeners.bind(internalEv);\n\n        /*\n         * We must wrap emit to continue to support JQuery events. The idea\n         * is to check to see if the user is using JQuery events, if they are\n         * we emit JQuery events to trigger user handlers as well as the EventEmitter\n         * events.\n         */\n        plotObj.emit = function(event, data) {\n            if(typeof jQuery !== 'undefined') {\n                jQuery(plotObj).trigger(event, data);\n            }\n\n            ev.emit(event, data);\n            internalEv.emit(event, data);\n        };\n\n        return plotObj;\n    },\n\n    /*\n     * This function behaves like jQuery's triggerHandler. It calls\n     * all handlers for a particular event and returns the return value\n     * of the LAST handler. This function also triggers jQuery's\n     * triggerHandler for backwards compatibility.\n     */\n    triggerHandler: function(plotObj, event, data) {\n        var jQueryHandlerValue;\n        var nodeEventHandlerValue;\n\n        /*\n         * If jQuery exists run all its handlers for this event and\n         * collect the return value of the LAST handler function\n         */\n        if(typeof jQuery !== 'undefined') {\n            jQueryHandlerValue = jQuery(plotObj).triggerHandler(event, data);\n        }\n\n        /*\n         * Now run all the node style event handlers\n         */\n        var ev = plotObj._ev;\n        if(!ev) return jQueryHandlerValue;\n\n        var handlers = ev._events[event];\n        if(!handlers) return jQueryHandlerValue;\n\n        // making sure 'this' is the EventEmitter instance\n        function apply(handler) {\n            // The 'once' case, we can't just call handler() as we need\n            // the return value here. So,\n            // - remove handler\n            // - call listener and grab return value!\n            // - stash 'fired' key to not call handler twice\n            if(handler.listener) {\n                ev.removeListener(event, handler.listener);\n                if(!handler.fired) {\n                    handler.fired = true;\n                    return handler.listener.apply(ev, [data]);\n                }\n            } else {\n                return handler.apply(ev, [data]);\n            }\n        }\n\n        // handlers can be function or an array of functions\n        handlers = Array.isArray(handlers) ? handlers : [handlers];\n\n        var i;\n        for(i = 0; i < handlers.length - 1; i++) {\n            apply(handlers[i]);\n        }\n        // now call the final handler and collect its value\n        nodeEventHandlerValue = apply(handlers[i]);\n\n        /*\n         * Return either the jQuery handler value if it exists or the\n         * nodeEventHandler value. jQuery event value supersedes nodejs\n         * events for backwards compatibility reasons.\n         */\n        return jQueryHandlerValue !== undefined ?\n            jQueryHandlerValue :\n            nodeEventHandlerValue;\n    },\n\n    purge: function(plotObj) {\n        delete plotObj._ev;\n        delete plotObj.on;\n        delete plotObj.once;\n        delete plotObj.removeListener;\n        delete plotObj.removeAllListeners;\n        delete plotObj.emit;\n\n        delete plotObj._ev;\n        delete plotObj._internalEv;\n        delete plotObj._internalOn;\n        delete plotObj._internalOnce;\n        delete plotObj._removeInternalListener;\n        delete plotObj._removeAllInternalListeners;\n\n        return plotObj;\n    }\n\n};\n\nmodule.exports = Events;\n\n},{\"events\":92}],685:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isPlainObject = _dereq_('./is_plain_object.js');\nvar isArray = Array.isArray;\n\nfunction primitivesLoopSplice(source, target) {\n    var i, value;\n    for(i = 0; i < source.length; i++) {\n        value = source[i];\n        if(value !== null && typeof(value) === 'object') {\n            return false;\n        }\n        if(value !== void(0)) {\n            target[i] = value;\n        }\n    }\n    return true;\n}\n\nexports.extendFlat = function() {\n    return _extend(arguments, false, false, false);\n};\n\nexports.extendDeep = function() {\n    return _extend(arguments, true, false, false);\n};\n\nexports.extendDeepAll = function() {\n    return _extend(arguments, true, true, false);\n};\n\nexports.extendDeepNoArrays = function() {\n    return _extend(arguments, true, false, true);\n};\n\n/*\n * Inspired by https://github.com/justmoon/node-extend/blob/master/index.js\n * All credit to the jQuery authors for perfecting this amazing utility.\n *\n * API difference with jQuery version:\n * - No optional boolean (true -> deep extend) first argument,\n *   use `extendFlat` for first-level only extend and\n *   use `extendDeep` for a deep extend.\n *\n * Other differences with jQuery version:\n * - Uses a modern (and faster) isPlainObject routine.\n * - Expected to work with object {} and array [] arguments only.\n * - Does not check for circular structure.\n *   FYI: jQuery only does a check across one level.\n *   Warning: this might result in infinite loops.\n *\n */\nfunction _extend(inputs, isDeep, keepAllKeys, noArrayCopies) {\n    var target = inputs[0],\n        length = inputs.length;\n\n    var input, key, src, copy, copyIsArray, clone, allPrimitives;\n\n    // TODO does this do the right thing for typed arrays?\n\n    if(length === 2 && isArray(target) && isArray(inputs[1]) && target.length === 0) {\n\n        allPrimitives = primitivesLoopSplice(inputs[1], target);\n\n        if(allPrimitives) {\n            return target;\n        } else {\n            target.splice(0, target.length); // reset target and continue to next block\n        }\n    }\n\n    for(var i = 1; i < length; i++) {\n        input = inputs[i];\n\n        for(key in input) {\n            src = target[key];\n            copy = input[key];\n\n            // Stop early and just transfer the array if array copies are disallowed:\n            if(noArrayCopies && isArray(copy)) {\n                target[key] = copy;\n            }\n\n            // recurse if we're merging plain objects or arrays\n            else if(isDeep && copy && (isPlainObject(copy) || (copyIsArray = isArray(copy)))) {\n                if(copyIsArray) {\n                    copyIsArray = false;\n                    clone = src && isArray(src) ? src : [];\n                } else {\n                    clone = src && isPlainObject(src) ? src : {};\n                }\n\n                // never move original objects, clone them\n                target[key] = _extend([clone, copy], isDeep, keepAllKeys, noArrayCopies);\n            }\n\n            // don't bring in undefined values, except for extendDeepAll\n            else if(typeof copy !== 'undefined' || keepAllKeys) {\n                target[key] = copy;\n            }\n        }\n    }\n\n    return target;\n}\n\n},{\"./is_plain_object.js\":698}],686:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\n/**\n * Return news array containing only the unique items\n * found in input array.\n *\n * IMPORTANT: Note that items are considered unique\n * if `String({})` is unique. For example;\n *\n *  Lib.filterUnique([ { a: 1 }, { b: 2 } ])\n *\n *  returns [{ a: 1 }]\n *\n * and\n *\n *  Lib.filterUnique([ '1', 1 ])\n *\n *  returns ['1']\n *\n *\n * @param {array} array base array\n * @return {array} new filtered array\n */\nmodule.exports = function filterUnique(array) {\n    var seen = {},\n        out = [],\n        j = 0;\n\n    for(var i = 0; i < array.length; i++) {\n        var item = array[i];\n\n        if(seen[item] !== 1) {\n            seen[item] = 1;\n            out[j++] = item;\n        }\n    }\n\n    return out;\n};\n\n},{}],687:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/** Filter out object items with visible !== true\n *  insider array container.\n *\n *  @param {array of objects} container\n *  @return {array of objects} of length <= container\n *\n */\nmodule.exports = function filterVisible(container) {\n    var filterFn = isCalcData(container) ? calcDataFilter : baseFilter;\n    var out = [];\n\n    for(var i = 0; i < container.length; i++) {\n        var item = container[i];\n        if(filterFn(item)) out.push(item);\n    }\n\n    return out;\n};\n\nfunction baseFilter(item) {\n    return item.visible === true;\n}\n\nfunction calcDataFilter(item) {\n    return item[0].trace.visible === true;\n}\n\nfunction isCalcData(cont) {\n    return (\n        Array.isArray(cont) &&\n        Array.isArray(cont[0]) &&\n        cont[0][0] &&\n        cont[0][0].trace\n    );\n}\n\n},{}],688:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar countryRegex = _dereq_('country-regex');\nvar Lib = _dereq_('../lib');\n\n\n// make list of all country iso3 ids from at runtime\nvar countryIds = Object.keys(countryRegex);\n\nvar locationmodeToIdFinder = {\n    'ISO-3': Lib.identity,\n    'USA-states': Lib.identity,\n    'country names': countryNameToISO3\n};\n\nexports.locationToFeature = function(locationmode, location, features) {\n    if(!location || typeof location !== 'string') return false;\n\n    var locationId = getLocationId(locationmode, location);\n\n    if(locationId) {\n        for(var i = 0; i < features.length; i++) {\n            var feature = features[i];\n\n            if(feature.id === locationId) return feature;\n        }\n\n        Lib.log([\n            'Location with id', locationId,\n            'does not have a matching topojson feature at this resolution.'\n        ].join(' '));\n    }\n\n    return false;\n};\n\nfunction getLocationId(locationmode, location) {\n    var idFinder = locationmodeToIdFinder[locationmode];\n    return idFinder(location);\n}\n\nfunction countryNameToISO3(countryName) {\n    for(var i = 0; i < countryIds.length; i++) {\n        var iso3 = countryIds[i],\n            regex = new RegExp(countryRegex[iso3]);\n\n        if(regex.test(countryName.trim().toLowerCase())) return iso3;\n    }\n\n    Lib.log('Unrecognized country name: ' + countryName + '.');\n\n    return false;\n}\n\n},{\"../lib\":696,\"country-regex\":122}],689:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar BADNUM = _dereq_('../constants/numerical').BADNUM;\n\n/**\n * Convert calcTrace to GeoJSON 'MultiLineString' coordinate arrays\n *\n * @param {object} calcTrace\n *  gd.calcdata item.\n *  Note that calcTrace[i].lonlat is assumed to be defined\n *\n * @return {array}\n *  return line coords array (or array of arrays)\n *\n */\nexports.calcTraceToLineCoords = function(calcTrace) {\n    var trace = calcTrace[0].trace;\n    var connectgaps = trace.connectgaps;\n\n    var coords = [];\n    var lineString = [];\n\n    for(var i = 0; i < calcTrace.length; i++) {\n        var calcPt = calcTrace[i];\n        var lonlat = calcPt.lonlat;\n\n        if(lonlat[0] !== BADNUM) {\n            lineString.push(lonlat);\n        } else if(!connectgaps && lineString.length > 0) {\n            coords.push(lineString);\n            lineString = [];\n        }\n    }\n\n    if(lineString.length > 0) {\n        coords.push(lineString);\n    }\n\n    return coords;\n};\n\n\n/**\n * Make line ('LineString' or 'MultiLineString') GeoJSON\n *\n * @param {array} coords\n *  results form calcTraceToLineCoords\n * @return {object} out\n *  GeoJSON object\n *\n */\nexports.makeLine = function(coords) {\n    if(coords.length === 1) {\n        return {\n            type: 'LineString',\n            coordinates: coords[0]\n        };\n    } else {\n        return {\n            type: 'MultiLineString',\n            coordinates: coords\n        };\n    }\n};\n\n/**\n * Make polygon ('Polygon' or 'MultiPolygon') GeoJSON\n *\n * @param {array} coords\n *  results form calcTraceToLineCoords\n * @return {object} out\n *  GeoJSON object\n */\nexports.makePolygon = function(coords) {\n    if(coords.length === 1) {\n        return {\n            type: 'Polygon',\n            coordinates: coords\n        };\n    } else {\n        var _coords = new Array(coords.length);\n\n        for(var i = 0; i < coords.length; i++) {\n            _coords[i] = [coords[i]];\n        }\n\n        return {\n            type: 'MultiPolygon',\n            coordinates: _coords\n        };\n    }\n};\n\n/**\n * Make blank GeoJSON\n *\n * @return {object}\n *  Blank GeoJSON object\n *\n */\nexports.makeBlank = function() {\n    return {\n        type: 'Point',\n        coordinates: []\n    };\n};\n\n},{\"../constants/numerical\":673}],690:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar mod = _dereq_('./mod').mod;\n\n/*\n * look for intersection of two line segments\n *   (1->2 and 3->4) - returns array [x,y] if they do, null if not\n */\nexports.segmentsIntersect = segmentsIntersect;\nfunction segmentsIntersect(x1, y1, x2, y2, x3, y3, x4, y4) {\n    var a = x2 - x1,\n        b = x3 - x1,\n        c = x4 - x3,\n        d = y2 - y1,\n        e = y3 - y1,\n        f = y4 - y3,\n        det = a * f - c * d;\n    // parallel lines? intersection is undefined\n    // ignore the case where they are colinear\n    if(det === 0) return null;\n    var t = (b * f - c * e) / det,\n        u = (b * d - a * e) / det;\n    // segments do not intersect?\n    if(u < 0 || u > 1 || t < 0 || t > 1) return null;\n\n    return {x: x1 + a * t, y: y1 + d * t};\n}\n\n/*\n * find the minimum distance between two line segments (1->2 and 3->4)\n */\nexports.segmentDistance = function segmentDistance(x1, y1, x2, y2, x3, y3, x4, y4) {\n    if(segmentsIntersect(x1, y1, x2, y2, x3, y3, x4, y4)) return 0;\n\n    // the two segments and their lengths squared\n    var x12 = x2 - x1;\n    var y12 = y2 - y1;\n    var x34 = x4 - x3;\n    var y34 = y4 - y3;\n    var l2_12 = x12 * x12 + y12 * y12;\n    var l2_34 = x34 * x34 + y34 * y34;\n\n    // calculate distance squared, then take the sqrt at the very end\n    var dist2 = Math.min(\n        perpDistance2(x12, y12, l2_12, x3 - x1, y3 - y1),\n        perpDistance2(x12, y12, l2_12, x4 - x1, y4 - y1),\n        perpDistance2(x34, y34, l2_34, x1 - x3, y1 - y3),\n        perpDistance2(x34, y34, l2_34, x2 - x3, y2 - y3)\n    );\n\n    return Math.sqrt(dist2);\n};\n\n/*\n * distance squared from segment ab to point c\n * [xab, yab] is the vector b-a\n * [xac, yac] is the vector c-a\n * l2_ab is the length squared of (b-a), just to simplify calculation\n */\nfunction perpDistance2(xab, yab, l2_ab, xac, yac) {\n    var fc_ab = (xac * xab + yac * yab);\n    if(fc_ab < 0) {\n        // point c is closer to point a\n        return xac * xac + yac * yac;\n    }\n    else if(fc_ab > l2_ab) {\n        // point c is closer to point b\n        var xbc = xac - xab;\n        var ybc = yac - yab;\n        return xbc * xbc + ybc * ybc;\n    }\n    else {\n        // perpendicular distance is the shortest\n        var crossProduct = xac * yab - yac * xab;\n        return crossProduct * crossProduct / l2_ab;\n    }\n}\n\n// a very short-term cache for getTextLocation, just because\n// we're often looping over the same locations multiple times\n// invalidated as soon as we look at a different path\nvar locationCache, workingPath, workingTextWidth;\n\n// turn a path and position along it into x, y, and angle for the given text\nexports.getTextLocation = function getTextLocation(path, totalPathLen, positionOnPath, textWidth) {\n    if(path !== workingPath || textWidth !== workingTextWidth) {\n        locationCache = {};\n        workingPath = path;\n        workingTextWidth = textWidth;\n    }\n    if(locationCache[positionOnPath]) {\n        return locationCache[positionOnPath];\n    }\n\n    // for the angle, use points on the path separated by the text width\n    // even though due to curvature, the text will cover a bit more than that\n    var p0 = path.getPointAtLength(mod(positionOnPath - textWidth / 2, totalPathLen));\n    var p1 = path.getPointAtLength(mod(positionOnPath + textWidth / 2, totalPathLen));\n    // note: atan handles 1/0 nicely\n    var theta = Math.atan((p1.y - p0.y) / (p1.x - p0.x));\n    // center the text at 2/3 of the center position plus 1/3 the p0/p1 midpoint\n    // that's the average position of this segment, assuming it's roughly quadratic\n    var pCenter = path.getPointAtLength(mod(positionOnPath, totalPathLen));\n    var x = (pCenter.x * 4 + p0.x + p1.x) / 6;\n    var y = (pCenter.y * 4 + p0.y + p1.y) / 6;\n\n    var out = {x: x, y: y, theta: theta};\n    locationCache[positionOnPath] = out;\n    return out;\n};\n\nexports.clearLocationCache = function() {\n    workingPath = null;\n};\n\n/*\n * Find the segment of `path` that's within the visible area\n * given by `bounds` {left, right, top, bottom}, to within a\n * precision of `buffer` px\n *\n * returns: undefined if nothing is visible, else object:\n * {\n *   min: position where the path first enters bounds, or 0 if it\n *        starts within bounds\n *   max: position where the path last exits bounds, or the path length\n *        if it finishes within bounds\n *   len: max - min, ie the length of visible path\n *   total: the total path length - just included so the caller doesn't\n *        need to call path.getTotalLength() again\n *   isClosed: true iff the start and end points of the path are both visible\n *        and are at the same point\n * }\n *\n * Works by starting from either end and repeatedly finding the distance from\n * that point to the plot area, and if it's outside the plot, moving along the\n * path by that distance (because the plot must be at least that far away on\n * the path). Note that if a path enters, exits, and re-enters the plot, we\n * will not capture this behavior.\n */\nexports.getVisibleSegment = function getVisibleSegment(path, bounds, buffer) {\n    var left = bounds.left;\n    var right = bounds.right;\n    var top = bounds.top;\n    var bottom = bounds.bottom;\n\n    var pMin = 0;\n    var pTotal = path.getTotalLength();\n    var pMax = pTotal;\n\n    var pt0, ptTotal;\n\n    function getDistToPlot(len) {\n        var pt = path.getPointAtLength(len);\n\n        // hold on to the start and end points for `closed`\n        if(len === 0) pt0 = pt;\n        else if(len === pTotal) ptTotal = pt;\n\n        var dx = (pt.x < left) ? left - pt.x : (pt.x > right ? pt.x - right : 0);\n        var dy = (pt.y < top) ? top - pt.y : (pt.y > bottom ? pt.y - bottom : 0);\n        return Math.sqrt(dx * dx + dy * dy);\n    }\n\n    var distToPlot = getDistToPlot(pMin);\n    while(distToPlot) {\n        pMin += distToPlot + buffer;\n        if(pMin > pMax) return;\n        distToPlot = getDistToPlot(pMin);\n    }\n\n    distToPlot = getDistToPlot(pMax);\n    while(distToPlot) {\n        pMax -= distToPlot + buffer;\n        if(pMin > pMax) return;\n        distToPlot = getDistToPlot(pMax);\n    }\n\n    return {\n        min: pMin,\n        max: pMax,\n        len: pMax - pMin,\n        total: pTotal,\n        isClosed: pMin === 0 && pMax === pTotal &&\n            Math.abs(pt0.x - ptTotal.x) < 0.1 &&\n            Math.abs(pt0.y - ptTotal.y) < 0.1\n    };\n};\n\n/**\n * Find point on SVG path corresponding to a given constraint coordinate\n *\n * @param {SVGPathElement} path\n * @param {Number} val : constraint coordinate value\n * @param {String} coord : 'x' or 'y' the constraint coordinate\n * @param {Object} opts :\n *  - {Number} pathLength : supply total path length before hand\n *  - {Number} tolerance\n *  - {Number} iterationLimit\n * @return {SVGPoint}\n */\nexports.findPointOnPath = function findPointOnPath(path, val, coord, opts) {\n    opts = opts || {};\n\n    var pathLength = opts.pathLength || path.getTotalLength();\n    var tolerance = opts.tolerance || 1e-3;\n    var iterationLimit = opts.iterationLimit || 30;\n\n    // if path starts at a val greater than the path tail (like on vertical violins),\n    // we must flip the sign of the computed diff.\n    var mul = path.getPointAtLength(0)[coord] > path.getPointAtLength(pathLength)[coord] ? -1 : 1;\n\n    var i = 0;\n    var b0 = 0;\n    var b1 = pathLength;\n    var mid;\n    var pt;\n    var diff;\n\n    while(i < iterationLimit) {\n        mid = (b0 + b1) / 2;\n        pt = path.getPointAtLength(mid);\n        diff = pt[coord] - val;\n\n        if(Math.abs(diff) < tolerance) {\n            return pt;\n        } else {\n            if(mul * diff > 0) {\n                b1 = mid;\n            } else {\n                b0 = mid;\n            }\n            i++;\n        }\n    }\n    return pt;\n};\n\n},{\"./mod\":704}],691:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/**\n * Allow referencing a graph DOM element either directly\n * or by its id string\n *\n * @param {HTMLDivElement|string} gd: a graph element or its id\n *\n * @returns {HTMLDivElement} the DOM element of the graph\n */\nmodule.exports = function(gd) {\n    var gdElement;\n\n    if(typeof gd === 'string') {\n        gdElement = document.getElementById(gd);\n\n        if(gdElement === null) {\n            throw new Error('No DOM element with id \\'' + gd + '\\' exists on the page.');\n        }\n\n        return gdElement;\n    }\n    else if(gd === null || gd === undefined) {\n        throw new Error('DOM element provided is null or undefined');\n    }\n\n    return gd;  // otherwise assume that gd is a DOM element\n};\n\n},{}],692:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar tinycolor = _dereq_('tinycolor2');\nvar rgba = _dereq_('color-normalize');\n\nvar Colorscale = _dereq_('../components/colorscale');\nvar colorDflt = _dereq_('../components/color/attributes').defaultLine;\nvar isArrayOrTypedArray = _dereq_('./is_array').isArrayOrTypedArray;\n\nvar colorDfltRgba = rgba(colorDflt);\nvar opacityDflt = 1;\n\nfunction calculateColor(colorIn, opacityIn) {\n    var colorOut = colorIn;\n    colorOut[3] *= opacityIn;\n    return colorOut;\n}\n\nfunction validateColor(colorIn) {\n    if(isNumeric(colorIn)) return colorDfltRgba;\n\n    var colorOut = rgba(colorIn);\n\n    return colorOut.length ? colorOut : colorDfltRgba;\n}\n\nfunction validateOpacity(opacityIn) {\n    return isNumeric(opacityIn) ? opacityIn : opacityDflt;\n}\n\nfunction formatColor(containerIn, opacityIn, len) {\n    var colorIn = containerIn.color;\n    var isArrayColorIn = isArrayOrTypedArray(colorIn);\n    var isArrayOpacityIn = isArrayOrTypedArray(opacityIn);\n    var colorOut = [];\n\n    var sclFunc, getColor, getOpacity, colori, opacityi;\n\n    if(containerIn.colorscale !== undefined) {\n        sclFunc = Colorscale.makeColorScaleFunc(\n            Colorscale.extractScale(\n                containerIn.colorscale,\n                containerIn.cmin,\n                containerIn.cmax\n            )\n        );\n    }\n    else {\n        sclFunc = validateColor;\n    }\n\n    if(isArrayColorIn) {\n        getColor = function(c, i) {\n            // FIXME: there is double work, considering that sclFunc does the opposite\n            return c[i] === undefined ? colorDfltRgba : rgba(sclFunc(c[i]));\n        };\n    }\n    else getColor = validateColor;\n\n    if(isArrayOpacityIn) {\n        getOpacity = function(o, i) {\n            return o[i] === undefined ? opacityDflt : validateOpacity(o[i]);\n        };\n    }\n    else getOpacity = validateOpacity;\n\n    if(isArrayColorIn || isArrayOpacityIn) {\n        for(var i = 0; i < len; i++) {\n            colori = getColor(colorIn, i);\n            opacityi = getOpacity(opacityIn, i);\n            colorOut[i] = calculateColor(colori, opacityi);\n        }\n    }\n    else colorOut = calculateColor(rgba(colorIn), opacityIn);\n\n    return colorOut;\n}\n\nfunction parseColorScale(colorscale, alpha) {\n    if(alpha === undefined) alpha = 1;\n\n    return colorscale.map(function(elem) {\n        var index = elem[0];\n        var color = tinycolor(elem[1]);\n        var rgb = color.toRgb();\n        return {\n            index: index,\n            rgb: [rgb.r, rgb.g, rgb.b, alpha]\n        };\n    });\n}\n\nmodule.exports = {\n    formatColor: formatColor,\n    parseColorScale: parseColorScale\n};\n\n},{\"../components/color/attributes\":569,\"../components/colorscale\":585,\"./is_array\":697,\"color-normalize\":108,\"fast-isnumeric\":214,\"tinycolor2\":514}],693:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar identity = _dereq_('./identity');\n\nfunction wrap(d) {return [d];}\n\nmodule.exports = {\n\n    // The D3 data binding concept and the General Update Pattern promotes the idea of\n    // traversing into the scenegraph by using the `.data(fun, keyFun)` call.\n    // The `fun` is most often a `repeat`, ie. the elements beneath a `<g>` element need\n    // access to the same data, or a `descend`, which fans a scenegraph node into a bunch of\n    // of elements, e.g. points, lines, rows, requiring an array as input.\n    // The role of the `keyFun` is to identify what elements are being entered/exited/updated,\n    // otherwise D3 reverts to using a plain index which would screw up `transition`s.\n    keyFun: function(d) {return d.key;},\n    repeat: wrap,\n    descend: identity,\n\n    // Plotly.js uses a convention of storing the actual contents of the `calcData` as the\n    // element zero of a container array. These helpers are just used for clarity as a\n    // newcomer to the codebase may not know what the `[0]` is, and whether there can be further\n    // elements (not atm).\n    wrap: wrap,\n    unwrap: function(d) {return d[0];}\n};\n\n},{\"./identity\":695}],694:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar toSuperScript = _dereq_('superscript-text');\nvar fixEntities = _dereq_('./svg_text_utils').convertEntities;\n\nfunction fixSuperScript(x) {\n    var idx = 0;\n\n    while((idx = x.indexOf('<sup>', idx)) >= 0) {\n        var nidx = x.indexOf('</sup>', idx);\n        if(nidx < idx) break;\n\n        x = x.slice(0, idx) + toSuperScript(x.slice(idx + 5, nidx)) + x.slice(nidx + 6);\n    }\n\n    return x;\n}\n\nfunction fixBR(x) {\n    return x.replace(/\\<br\\>/g, '\\n');\n}\n\nfunction stripTags(x) {\n    return x.replace(/\\<.*\\>/g, '');\n}\n\nfunction convertHTMLToUnicode(html) {\n    return '' +\n        fixEntities(\n        stripTags(\n        fixSuperScript(\n        fixBR(\n          html))));\n}\n\nmodule.exports = convertHTMLToUnicode;\n\n},{\"./svg_text_utils\":721,\"superscript-text\":507}],695:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n// Simple helper functions\n// none of these need any external deps\n\nmodule.exports = function identity(d) { return d; };\n\n},{}],696:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar numConstants = _dereq_('../constants/numerical');\nvar FP_SAFE = numConstants.FP_SAFE;\nvar BADNUM = numConstants.BADNUM;\n\nvar lib = module.exports = {};\n\nlib.nestedProperty = _dereq_('./nested_property');\nlib.keyedContainer = _dereq_('./keyed_container');\nlib.relativeAttr = _dereq_('./relative_attr');\nlib.isPlainObject = _dereq_('./is_plain_object');\nlib.toLogRange = _dereq_('./to_log_range');\nlib.relinkPrivateKeys = _dereq_('./relink_private');\nlib.ensureArray = _dereq_('./ensure_array');\n\nvar modModule = _dereq_('./mod');\nlib.mod = modModule.mod;\nlib.modHalf = modModule.modHalf;\n\nvar isArrayModule = _dereq_('./is_array');\nlib.isTypedArray = isArrayModule.isTypedArray;\nlib.isArrayOrTypedArray = isArrayModule.isArrayOrTypedArray;\nlib.isArray1D = isArrayModule.isArray1D;\n\nvar coerceModule = _dereq_('./coerce');\nlib.valObjectMeta = coerceModule.valObjectMeta;\nlib.coerce = coerceModule.coerce;\nlib.coerce2 = coerceModule.coerce2;\nlib.coerceFont = coerceModule.coerceFont;\nlib.coerceHoverinfo = coerceModule.coerceHoverinfo;\nlib.coerceSelectionMarkerOpacity = coerceModule.coerceSelectionMarkerOpacity;\nlib.validate = coerceModule.validate;\n\nvar datesModule = _dereq_('./dates');\nlib.dateTime2ms = datesModule.dateTime2ms;\nlib.isDateTime = datesModule.isDateTime;\nlib.ms2DateTime = datesModule.ms2DateTime;\nlib.ms2DateTimeLocal = datesModule.ms2DateTimeLocal;\nlib.cleanDate = datesModule.cleanDate;\nlib.isJSDate = datesModule.isJSDate;\nlib.formatDate = datesModule.formatDate;\nlib.incrementMonth = datesModule.incrementMonth;\nlib.dateTick0 = datesModule.dateTick0;\nlib.dfltRange = datesModule.dfltRange;\nlib.findExactDates = datesModule.findExactDates;\nlib.MIN_MS = datesModule.MIN_MS;\nlib.MAX_MS = datesModule.MAX_MS;\n\nvar searchModule = _dereq_('./search');\nlib.findBin = searchModule.findBin;\nlib.sorterAsc = searchModule.sorterAsc;\nlib.sorterDes = searchModule.sorterDes;\nlib.distinctVals = searchModule.distinctVals;\nlib.roundUp = searchModule.roundUp;\nlib.sort = searchModule.sort;\nlib.findIndexOfMin = searchModule.findIndexOfMin;\n\nvar statsModule = _dereq_('./stats');\nlib.aggNums = statsModule.aggNums;\nlib.len = statsModule.len;\nlib.mean = statsModule.mean;\nlib.midRange = statsModule.midRange;\nlib.variance = statsModule.variance;\nlib.stdev = statsModule.stdev;\nlib.interp = statsModule.interp;\n\nvar matrixModule = _dereq_('./matrix');\nlib.init2dArray = matrixModule.init2dArray;\nlib.transposeRagged = matrixModule.transposeRagged;\nlib.dot = matrixModule.dot;\nlib.translationMatrix = matrixModule.translationMatrix;\nlib.rotationMatrix = matrixModule.rotationMatrix;\nlib.rotationXYMatrix = matrixModule.rotationXYMatrix;\nlib.apply2DTransform = matrixModule.apply2DTransform;\nlib.apply2DTransform2 = matrixModule.apply2DTransform2;\n\nvar anglesModule = _dereq_('./angles');\nlib.deg2rad = anglesModule.deg2rad;\nlib.rad2deg = anglesModule.rad2deg;\nlib.angleDelta = anglesModule.angleDelta;\nlib.angleDist = anglesModule.angleDist;\nlib.isFullCircle = anglesModule.isFullCircle;\nlib.isAngleInsideSector = anglesModule.isAngleInsideSector;\nlib.isPtInsideSector = anglesModule.isPtInsideSector;\nlib.pathArc = anglesModule.pathArc;\nlib.pathSector = anglesModule.pathSector;\nlib.pathAnnulus = anglesModule.pathAnnulus;\n\nvar geom2dModule = _dereq_('./geometry2d');\nlib.segmentsIntersect = geom2dModule.segmentsIntersect;\nlib.segmentDistance = geom2dModule.segmentDistance;\nlib.getTextLocation = geom2dModule.getTextLocation;\nlib.clearLocationCache = geom2dModule.clearLocationCache;\nlib.getVisibleSegment = geom2dModule.getVisibleSegment;\nlib.findPointOnPath = geom2dModule.findPointOnPath;\n\nvar extendModule = _dereq_('./extend');\nlib.extendFlat = extendModule.extendFlat;\nlib.extendDeep = extendModule.extendDeep;\nlib.extendDeepAll = extendModule.extendDeepAll;\nlib.extendDeepNoArrays = extendModule.extendDeepNoArrays;\n\nvar loggersModule = _dereq_('./loggers');\nlib.log = loggersModule.log;\nlib.warn = loggersModule.warn;\nlib.error = loggersModule.error;\n\nvar regexModule = _dereq_('./regex');\nlib.counterRegex = regexModule.counter;\n\nvar throttleModule = _dereq_('./throttle');\nlib.throttle = throttleModule.throttle;\nlib.throttleDone = throttleModule.done;\nlib.clearThrottle = throttleModule.clear;\n\nlib.getGraphDiv = _dereq_('./get_graph_div');\n\nlib.clearResponsive = _dereq_('./clear_responsive');\n\nlib.makeTraceGroups = _dereq_('./make_trace_groups');\n\nlib._ = _dereq_('./localize');\n\nlib.notifier = _dereq_('./notifier');\n\nlib.filterUnique = _dereq_('./filter_unique');\nlib.filterVisible = _dereq_('./filter_visible');\nlib.pushUnique = _dereq_('./push_unique');\n\nlib.cleanNumber = _dereq_('./clean_number');\n\nlib.ensureNumber = function num(v) {\n    if(!isNumeric(v)) return BADNUM;\n    v = Number(v);\n    if(v < -FP_SAFE || v > FP_SAFE) return BADNUM;\n    return isNumeric(v) ? Number(v) : BADNUM;\n};\n\n/**\n * Is v a valid array index? Accepts numeric strings as well as numbers.\n *\n * @param {any} v: the value to test\n * @param {Optional[integer]} len: the array length we are indexing\n *\n * @return {bool}: v is a valid array index\n */\nlib.isIndex = function(v, len) {\n    if(len !== undefined && v >= len) return false;\n    return isNumeric(v) && (v >= 0) && (v % 1 === 0);\n};\n\nlib.noop = _dereq_('./noop');\nlib.identity = _dereq_('./identity');\n\n/**\n * create an array of length 'cnt' filled with 'v' at all indices\n *\n * @param {any} v\n * @param {number} cnt\n * @return {array}\n */\nlib.repeat = function(v, cnt) {\n    var out = new Array(cnt);\n    for(var i = 0; i < cnt; i++) {\n        out[i] = v;\n    }\n    return out;\n};\n\n/**\n * swap x and y of the same attribute in container cont\n * specify attr with a ? in place of x/y\n * you can also swap other things than x/y by providing part1 and part2\n */\nlib.swapAttrs = function(cont, attrList, part1, part2) {\n    if(!part1) part1 = 'x';\n    if(!part2) part2 = 'y';\n    for(var i = 0; i < attrList.length; i++) {\n        var attr = attrList[i],\n            xp = lib.nestedProperty(cont, attr.replace('?', part1)),\n            yp = lib.nestedProperty(cont, attr.replace('?', part2)),\n            temp = xp.get();\n        xp.set(yp.get());\n        yp.set(temp);\n    }\n};\n\n/**\n * SVG painter's algo worked around with reinsertion\n */\nlib.raiseToTop = function raiseToTop(elem) {\n    elem.parentNode.appendChild(elem);\n};\n\n/**\n * cancel a possibly pending transition; returned selection may be used by caller\n */\nlib.cancelTransition = function(selection) {\n    return selection.transition().duration(0);\n};\n\n// constrain - restrict a number v to be between v0 and v1\nlib.constrain = function(v, v0, v1) {\n    if(v0 > v1) return Math.max(v1, Math.min(v0, v));\n    return Math.max(v0, Math.min(v1, v));\n};\n\n/**\n * do two bounding boxes from getBoundingClientRect,\n * ie {left,right,top,bottom,width,height}, overlap?\n * takes optional padding pixels\n */\nlib.bBoxIntersect = function(a, b, pad) {\n    pad = pad || 0;\n    return (a.left <= b.right + pad &&\n            b.left <= a.right + pad &&\n            a.top <= b.bottom + pad &&\n            b.top <= a.bottom + pad);\n};\n\n/*\n * simpleMap: alternative to Array.map that only\n * passes on the element and up to 2 extra args you\n * provide (but not the array index or the whole array)\n *\n * array: the array to map it to\n * func: the function to apply\n * x1, x2: optional extra args\n */\nlib.simpleMap = function(array, func, x1, x2) {\n    var len = array.length,\n        out = new Array(len);\n    for(var i = 0; i < len; i++) out[i] = func(array[i], x1, x2);\n    return out;\n};\n\n/**\n * Random string generator\n *\n * @param {object} existing\n *     pass in strings to avoid as keys with truthy values\n * @param {int} bits\n *     bits of information in the output string, default 24\n * @param {int} base\n *     base of string representation, default 16. Should be a power of 2.\n */\nlib.randstr = function randstr(existing, bits, base, _recursion) {\n    if(!base) base = 16;\n    if(bits === undefined) bits = 24;\n    if(bits <= 0) return '0';\n\n    var digits = Math.log(Math.pow(2, bits)) / Math.log(base);\n    var res = '';\n    var i, b, x;\n\n    for(i = 2; digits === Infinity; i *= 2) {\n        digits = Math.log(Math.pow(2, bits / i)) / Math.log(base) * i;\n    }\n\n    var rem = digits - Math.floor(digits);\n\n    for(i = 0; i < Math.floor(digits); i++) {\n        x = Math.floor(Math.random() * base).toString(base);\n        res = x + res;\n    }\n\n    if(rem) {\n        b = Math.pow(base, rem);\n        x = Math.floor(Math.random() * b).toString(base);\n        res = x + res;\n    }\n\n    var parsed = parseInt(res, base);\n    if((existing && existing[res]) ||\n         (parsed !== Infinity && parsed >= Math.pow(2, bits))) {\n        if(_recursion > 10) {\n            lib.warn('randstr failed uniqueness');\n            return res;\n        }\n        return randstr(existing, bits, base, (_recursion || 0) + 1);\n    }\n    else return res;\n};\n\nlib.OptionControl = function(opt, optname) {\n    /*\n     * An environment to contain all option setters and\n     * getters that collectively modify opts.\n     *\n     * You can call up opts from any function in new object\n     * as this.optname || this.opt\n     *\n     * See FitOpts for example of usage\n     */\n    if(!opt) opt = {};\n    if(!optname) optname = 'opt';\n\n    var self = {};\n    self.optionList = [];\n\n    self._newoption = function(optObj) {\n        optObj[optname] = opt;\n        self[optObj.name] = optObj;\n        self.optionList.push(optObj);\n    };\n\n    self['_' + optname] = opt;\n    return self;\n};\n\n/**\n * lib.smooth: smooth arrayIn by convolving with\n * a hann window with given full width at half max\n * bounce the ends in, so the output has the same length as the input\n */\nlib.smooth = function(arrayIn, FWHM) {\n    FWHM = Math.round(FWHM) || 0; // only makes sense for integers\n    if(FWHM < 2) return arrayIn;\n\n    var alen = arrayIn.length,\n        alen2 = 2 * alen,\n        wlen = 2 * FWHM - 1,\n        w = new Array(wlen),\n        arrayOut = new Array(alen),\n        i,\n        j,\n        k,\n        v;\n\n    // first make the window array\n    for(i = 0; i < wlen; i++) {\n        w[i] = (1 - Math.cos(Math.PI * (i + 1) / FWHM)) / (2 * FWHM);\n    }\n\n    // now do the convolution\n    for(i = 0; i < alen; i++) {\n        v = 0;\n        for(j = 0; j < wlen; j++) {\n            k = i + j + 1 - FWHM;\n\n            // multibounce\n            if(k < -alen) k -= alen2 * Math.round(k / alen2);\n            else if(k >= alen2) k -= alen2 * Math.floor(k / alen2);\n\n            // single bounce\n            if(k < 0) k = - 1 - k;\n            else if(k >= alen) k = alen2 - 1 - k;\n\n            v += arrayIn[k] * w[j];\n        }\n        arrayOut[i] = v;\n    }\n\n    return arrayOut;\n};\n\n/**\n * syncOrAsync: run a sequence of functions synchronously\n * as long as its returns are not promises (ie have no .then)\n * includes one argument arg to send to all functions...\n * this is mainly just to prevent us having to make wrapper functions\n * when the only purpose of the wrapper is to reference gd\n * and a final step to be executed at the end\n * TODO: if there's an error and everything is sync,\n * this doesn't happen yet because we want to make sure\n * that it gets reported\n */\nlib.syncOrAsync = function(sequence, arg, finalStep) {\n    var ret, fni;\n\n    function continueAsync() {\n        return lib.syncOrAsync(sequence, arg, finalStep);\n    }\n\n    while(sequence.length) {\n        fni = sequence.splice(0, 1)[0];\n        ret = fni(arg);\n\n        if(ret && ret.then) {\n            return ret.then(continueAsync)\n                .then(undefined, lib.promiseError);\n        }\n    }\n\n    return finalStep && finalStep(arg);\n};\n\n\n/**\n * Helper to strip trailing slash, from\n * http://stackoverflow.com/questions/6680825/return-string-without-trailing-slash\n */\nlib.stripTrailingSlash = function(str) {\n    if(str.substr(-1) === '/') return str.substr(0, str.length - 1);\n    return str;\n};\n\nlib.noneOrAll = function(containerIn, containerOut, attrList) {\n    /**\n     * some attributes come together, so if you have one of them\n     * in the input, you should copy the default values of the others\n     * to the input as well.\n     */\n    if(!containerIn) return;\n\n    var hasAny = false,\n        hasAll = true,\n        i,\n        val;\n\n    for(i = 0; i < attrList.length; i++) {\n        val = containerIn[attrList[i]];\n        if(val !== undefined && val !== null) hasAny = true;\n        else hasAll = false;\n    }\n\n    if(hasAny && !hasAll) {\n        for(i = 0; i < attrList.length; i++) {\n            containerIn[attrList[i]] = containerOut[attrList[i]];\n        }\n    }\n};\n\n/** merges calcdata field (given by cdAttr) with traceAttr values\n *\n * N.B. Loop over minimum of cd.length and traceAttr.length\n * i.e. it does not try to fill in beyond traceAttr.length-1\n *\n * @param {array} traceAttr : trace attribute\n * @param {object} cd : calcdata trace\n * @param {string} cdAttr : calcdata key\n */\nlib.mergeArray = function(traceAttr, cd, cdAttr) {\n    if(lib.isArrayOrTypedArray(traceAttr)) {\n        var imax = Math.min(traceAttr.length, cd.length);\n        for(var i = 0; i < imax; i++) cd[i][cdAttr] = traceAttr[i];\n    }\n};\n\n/** fills calcdata field (given by cdAttr) with traceAttr values\n *  or function of traceAttr values (e.g. some fallback)\n *\n * N.B. Loops over all cd items.\n *\n * @param {array} traceAttr : trace attribute\n * @param {object} cd : calcdata trace\n * @param {string} cdAttr : calcdata key\n * @param {function} [fn] : optional function to apply to each array item\n */\nlib.fillArray = function(traceAttr, cd, cdAttr, fn) {\n    fn = fn || lib.identity;\n\n    if(lib.isArrayOrTypedArray(traceAttr)) {\n        for(var i = 0; i < cd.length; i++) {\n            cd[i][cdAttr] = fn(traceAttr[i]);\n        }\n    }\n};\n\n/** Handler for trace-wide vs per-point options\n *\n * @param {object} trace : (full) trace object\n * @param {number} ptNumber : index of the point in question\n * @param {string} astr : attribute string\n * @param {function} [fn] : optional function to apply to each array item\n *\n * @return {any}\n */\nlib.castOption = function(trace, ptNumber, astr, fn) {\n    fn = fn || lib.identity;\n\n    var val = lib.nestedProperty(trace, astr).get();\n\n    if(lib.isArrayOrTypedArray(val)) {\n        if(Array.isArray(ptNumber) && lib.isArrayOrTypedArray(val[ptNumber[0]])) {\n            return fn(val[ptNumber[0]][ptNumber[1]]);\n        } else {\n            return fn(val[ptNumber]);\n        }\n    } else {\n        return val;\n    }\n};\n\n/** Extract option from calcdata item, correctly falling back to\n *  trace value if not found.\n *\n *  @param {object} calcPt : calcdata[i][j] item\n *  @param {object} trace : (full) trace object\n *  @param {string} calcKey : calcdata key\n *  @param {string} traceKey : aka trace attribute string\n *  @return {any}\n */\nlib.extractOption = function(calcPt, trace, calcKey, traceKey) {\n    if(calcKey in calcPt) return calcPt[calcKey];\n\n    // fallback to trace value,\n    //   must check if value isn't itself an array\n    //   which means the trace attribute has a corresponding\n    //   calcdata key, but its value is falsy\n    var traceVal = lib.nestedProperty(trace, traceKey).get();\n    if(!Array.isArray(traceVal)) return traceVal;\n};\n\nfunction makePtIndex2PtNumber(indexToPoints) {\n    var ptIndex2ptNumber = {};\n    for(var k in indexToPoints) {\n        var pts = indexToPoints[k];\n        for(var j = 0; j < pts.length; j++) {\n            ptIndex2ptNumber[pts[j]] = +k;\n        }\n    }\n    return ptIndex2ptNumber;\n}\n\n/** Tag selected calcdata items\n *\n * N.B. note that point 'index' corresponds to input data array index\n *  whereas 'number' is its post-transform version.\n *\n * @param {array} calcTrace\n * @param {object} trace\n *  - selectedpoints {array}\n *  - _indexToPoints {object}\n * @param {ptNumber2cdIndex} ptNumber2cdIndex (optional)\n *  optional map object for trace types that do not have 1-to-1 point number to\n *  calcdata item index correspondence (e.g. histogram)\n */\nlib.tagSelected = function(calcTrace, trace, ptNumber2cdIndex) {\n    var selectedpoints = trace.selectedpoints;\n    var indexToPoints = trace._indexToPoints;\n    var ptIndex2ptNumber;\n\n    // make pt index-to-number map object, which takes care of transformed traces\n    if(indexToPoints) {\n        ptIndex2ptNumber = makePtIndex2PtNumber(indexToPoints);\n    }\n\n    function isCdIndexValid(v) {\n        return v !== undefined && v < calcTrace.length;\n    }\n\n    for(var i = 0; i < selectedpoints.length; i++) {\n        var ptIndex = selectedpoints[i];\n\n        if(lib.isIndex(ptIndex)) {\n            var ptNumber = ptIndex2ptNumber ? ptIndex2ptNumber[ptIndex] : ptIndex;\n            var cdIndex = ptNumber2cdIndex ? ptNumber2cdIndex[ptNumber] : ptNumber;\n\n            if(isCdIndexValid(cdIndex)) {\n                calcTrace[cdIndex].selected = 1;\n            }\n        }\n    }\n};\n\nlib.selIndices2selPoints = function(trace) {\n    var selectedpoints = trace.selectedpoints;\n    var indexToPoints = trace._indexToPoints;\n\n    if(indexToPoints) {\n        var ptIndex2ptNumber = makePtIndex2PtNumber(indexToPoints);\n        var out = [];\n\n        for(var i = 0; i < selectedpoints.length; i++) {\n            var ptIndex = selectedpoints[i];\n            if(lib.isIndex(ptIndex)) {\n                var ptNumber = ptIndex2ptNumber[ptIndex];\n                if(lib.isIndex(ptNumber)) {\n                    out.push(ptNumber);\n                }\n            }\n        }\n\n        return out;\n    } else {\n        return selectedpoints;\n    }\n};\n\n/** Returns target as set by 'target' transform attribute\n *\n * @param {object} trace : full trace object\n * @param {object} transformOpts : transform option object\n *  - target (string} :\n *      either an attribute string referencing an array in the trace object, or\n *      a set array.\n *\n * @return {array or false} : the target array (NOT a copy!!) or false if invalid\n */\nlib.getTargetArray = function(trace, transformOpts) {\n    var target = transformOpts.target;\n\n    if(typeof target === 'string' && target) {\n        var array = lib.nestedProperty(trace, target).get();\n        return Array.isArray(array) ? array : false;\n    } else if(Array.isArray(target)) {\n        return target;\n    }\n\n    return false;\n};\n\n/**\n * modified version of jQuery's extend to strip out private objs and functions,\n * and cut arrays down to first <arraylen> or 1 elements\n * because extend-like algorithms are hella slow\n * obj2 is assumed to already be clean of these things (including no arrays)\n */\nlib.minExtend = function(obj1, obj2) {\n    var objOut = {};\n    if(typeof obj2 !== 'object') obj2 = {};\n    var arrayLen = 3,\n        keys = Object.keys(obj1),\n        i,\n        k,\n        v;\n    for(i = 0; i < keys.length; i++) {\n        k = keys[i];\n        v = obj1[k];\n        if(k.charAt(0) === '_' || typeof v === 'function') continue;\n        else if(k === 'module') objOut[k] = v;\n        else if(Array.isArray(v)) objOut[k] = v.slice(0, arrayLen);\n        else if(v && (typeof v === 'object')) objOut[k] = lib.minExtend(obj1[k], obj2[k]);\n        else objOut[k] = v;\n    }\n\n    keys = Object.keys(obj2);\n    for(i = 0; i < keys.length; i++) {\n        k = keys[i];\n        v = obj2[k];\n        if(typeof v !== 'object' || !(k in objOut) || typeof objOut[k] !== 'object') {\n            objOut[k] = v;\n        }\n    }\n\n    return objOut;\n};\n\nlib.titleCase = function(s) {\n    return s.charAt(0).toUpperCase() + s.substr(1);\n};\n\nlib.containsAny = function(s, fragments) {\n    for(var i = 0; i < fragments.length; i++) {\n        if(s.indexOf(fragments[i]) !== -1) return true;\n    }\n    return false;\n};\n\nlib.isPlotDiv = function(el) {\n    var el3 = d3.select(el);\n    return el3.node() instanceof HTMLElement &&\n        el3.size() &&\n        el3.classed('js-plotly-plot');\n};\n\nlib.removeElement = function(el) {\n    var elParent = el && el.parentNode;\n    if(elParent) elParent.removeChild(el);\n};\n\n/**\n * for dynamically adding style rules\n * makes one stylesheet that contains all rules added\n * by all calls to this function\n */\nlib.addStyleRule = function(selector, styleString) {\n    lib.addRelatedStyleRule('global', selector, styleString);\n};\n\n/**\n * for dynamically adding style rules\n * to a stylesheet uniquely identified by a uid\n */\nlib.addRelatedStyleRule = function(uid, selector, styleString) {\n    var id = 'plotly.js-style-' + uid,\n        style = document.getElementById(id);\n    if(!style) {\n        style = document.createElement('style');\n        style.setAttribute('id', id);\n        // WebKit hack :(\n        style.appendChild(document.createTextNode(''));\n        document.head.appendChild(style);\n    }\n    var styleSheet = style.sheet;\n\n    if(styleSheet.insertRule) {\n        styleSheet.insertRule(selector + '{' + styleString + '}', 0);\n    }\n    else if(styleSheet.addRule) {\n        styleSheet.addRule(selector, styleString, 0);\n    }\n    else lib.warn('addStyleRule failed');\n};\n\n/**\n * to remove from the page a stylesheet identified by a given uid\n */\nlib.deleteRelatedStyleRule = function(uid) {\n    var id = 'plotly.js-style-' + uid,\n        style = document.getElementById(id);\n    if(style) lib.removeElement(style);\n};\n\nlib.isIE = function() {\n    return typeof window.navigator.msSaveBlob !== 'undefined';\n};\n\n/**\n * Duck typing to recognize a d3 selection, mostly for IE9's benefit\n * because it doesn't handle instanceof like modern browsers\n */\nlib.isD3Selection = function(obj) {\n    return obj && (typeof obj.classed === 'function');\n};\n\n/**\n * Append element to DOM only if not present.\n *\n * @param {d3 selection} parent : parent selection of the element in question\n * @param {string} nodeType : node type of element to append\n * @param {string} className (optional) : class name of element in question\n * @param {fn} enterFn (optional) : optional fn applied to entering elements only\n * @return {d3 selection} selection of new layer\n *\n * Previously, we were using the following pattern:\n *\n * ```\n * var sel = parent.selectAll('.' + className)\n *     .data([0]);\n *\n * sel.enter().append(nodeType)\n *     .classed(className, true);\n *\n * return sel;\n * ```\n *\n * in numerous places in our codebase to achieve the same behavior.\n *\n * The logic below performs much better, mostly as we are using\n * `.select` instead `.selectAll` that is `querySelector` instead of\n * `querySelectorAll`.\n *\n */\nlib.ensureSingle = function(parent, nodeType, className, enterFn) {\n    var sel = parent.select(nodeType + (className ? '.' + className : ''));\n    if(sel.size()) return sel;\n\n    var layer = parent.append(nodeType);\n    if(className) layer.classed(className, true);\n    if(enterFn) layer.call(enterFn);\n\n    return layer;\n};\n\n/**\n * Same as Lib.ensureSingle, but using id as selector.\n * This version is mostly used for clipPath nodes.\n *\n * @param {d3 selection} parent : parent selection of the element in question\n * @param {string} nodeType : node type of element to append\n * @param {string} id : id of element in question\n * @param {fn} enterFn (optional) : optional fn applied to entering elements only\n * @return {d3 selection} selection of new layer\n */\nlib.ensureSingleById = function(parent, nodeType, id, enterFn) {\n    var sel = parent.select(nodeType + '#' + id);\n    if(sel.size()) return sel;\n\n    var layer = parent.append(nodeType).attr('id', id);\n    if(enterFn) layer.call(enterFn);\n\n    return layer;\n};\n\n/**\n * Converts a string path to an object.\n *\n * When given a string containing an array element, it will create a `null`\n * filled array of the given size.\n *\n * @example\n * lib.objectFromPath('nested.test[2].path', 'value');\n * // returns { nested: { test: [null, null, { path: 'value' }]}\n *\n * @param   {string}    path to nested value\n * @param   {*}         any value to be set\n *\n * @return {Object} the constructed object with a full nested path\n */\nlib.objectFromPath = function(path, value) {\n    var keys = path.split('.'),\n        tmpObj,\n        obj = tmpObj = {};\n\n    for(var i = 0; i < keys.length; i++) {\n        var key = keys[i];\n        var el = null;\n\n        var parts = keys[i].match(/(.*)\\[([0-9]+)\\]/);\n\n        if(parts) {\n            key = parts[1];\n            el = parts[2];\n\n            tmpObj = tmpObj[key] = [];\n\n            if(i === keys.length - 1) {\n                tmpObj[el] = value;\n            } else {\n                tmpObj[el] = {};\n            }\n\n            tmpObj = tmpObj[el];\n        } else {\n\n            if(i === keys.length - 1) {\n                tmpObj[key] = value;\n            } else {\n                tmpObj[key] = {};\n            }\n\n            tmpObj = tmpObj[key];\n        }\n    }\n\n    return obj;\n};\n\n/**\n * Iterate through an object in-place, converting dotted properties to objects.\n *\n * Examples:\n *\n *   lib.expandObjectPaths({'nested.test.path': 'value'});\n *     => { nested: { test: {path: 'value'}}}\n *\n * It also handles array notation, e.g.:\n *\n *   lib.expandObjectPaths({'foo[1].bar': 'value'});\n *     => { foo: [null, {bar: value}] }\n *\n * It handles merges the results when two properties are specified in parallel:\n *\n *   lib.expandObjectPaths({'foo[1].bar': 10, 'foo[0].bar': 20});\n *     => { foo: [{bar: 10}, {bar: 20}] }\n *\n * It does NOT, however, merge mulitple mutliply-nested arrays::\n *\n *   lib.expandObjectPaths({'marker[1].range[1]': 5, 'marker[1].range[0]': 4})\n *     => { marker: [null, {range: 4}] }\n */\n\n// Store this to avoid recompiling regex on *every* prop since this may happen many\n// many times for animations. Could maybe be inside the function. Not sure about\n// scoping vs. recompilation tradeoff, but at least it's not just inlining it into\n// the inner loop.\nvar dottedPropertyRegex = /^([^\\[\\.]+)\\.(.+)?/;\nvar indexedPropertyRegex = /^([^\\.]+)\\[([0-9]+)\\](\\.)?(.+)?/;\n\nlib.expandObjectPaths = function(data) {\n    var match, key, prop, datum, idx, dest, trailingPath;\n    if(typeof data === 'object' && !Array.isArray(data)) {\n        for(key in data) {\n            if(data.hasOwnProperty(key)) {\n                if((match = key.match(dottedPropertyRegex))) {\n                    datum = data[key];\n                    prop = match[1];\n\n                    delete data[key];\n\n                    data[prop] = lib.extendDeepNoArrays(data[prop] || {}, lib.objectFromPath(key, lib.expandObjectPaths(datum))[prop]);\n                } else if((match = key.match(indexedPropertyRegex))) {\n                    datum = data[key];\n\n                    prop = match[1];\n                    idx = parseInt(match[2]);\n\n                    delete data[key];\n\n                    data[prop] = data[prop] || [];\n\n                    if(match[3] === '.') {\n                        // This is the case where theere are subsequent properties into which\n                        // we must recurse, e.g. transforms[0].value\n                        trailingPath = match[4];\n                        dest = data[prop][idx] = data[prop][idx] || {};\n\n                        // NB: Extend deep no arrays prevents this from working on multiple\n                        // nested properties in the same object, e.g.\n                        //\n                        // {\n                        //   foo[0].bar[1].range\n                        //   foo[0].bar[0].range\n                        // }\n                        //\n                        // In this case, the extendDeepNoArrays will overwrite one array with\n                        // the other, so that both properties *will not* be present in the\n                        // result. Fixing this would require a more intelligent tracking\n                        // of changes and merging than extendDeepNoArrays currently accomplishes.\n                        lib.extendDeepNoArrays(dest, lib.objectFromPath(trailingPath, lib.expandObjectPaths(datum)));\n                    } else {\n                        // This is the case where this property is the end of the line,\n                        // e.g. xaxis.range[0]\n                        data[prop][idx] = lib.expandObjectPaths(datum);\n                    }\n                } else {\n                    data[key] = lib.expandObjectPaths(data[key]);\n                }\n            }\n        }\n    }\n\n    return data;\n};\n\n/**\n * Converts value to string separated by the provided separators.\n *\n * @example\n * lib.numSeparate(2016, '.,');\n * // returns '2016'\n *\n * @example\n * lib.numSeparate(3000, '.,', true);\n * // returns '3,000'\n *\n * @example\n * lib.numSeparate(1234.56, '|,')\n * // returns '1,234|56'\n *\n * @param   {string|number} value       the value to be converted\n * @param   {string}    separators  string of decimal, then thousands separators\n * @param   {boolean}    separatethousands  boolean, 4-digit integers are separated if true\n *\n * @return  {string}    the value that has been separated\n */\nlib.numSeparate = function(value, separators, separatethousands) {\n    if(!separatethousands) separatethousands = false;\n\n    if(typeof separators !== 'string' || separators.length === 0) {\n        throw new Error('Separator string required for formatting!');\n    }\n\n    if(typeof value === 'number') {\n        value = String(value);\n    }\n\n    var thousandsRe = /(\\d+)(\\d{3})/,\n        decimalSep = separators.charAt(0),\n        thouSep = separators.charAt(1);\n\n    var x = value.split('.'),\n        x1 = x[0],\n        x2 = x.length > 1 ? decimalSep + x[1] : '';\n\n    // Years are ignored for thousands separators\n    if(thouSep && (x.length > 1 || x1.length > 4 || separatethousands)) {\n        while(thousandsRe.test(x1)) {\n            x1 = x1.replace(thousandsRe, '$1' + thouSep + '$2');\n        }\n    }\n\n    return x1 + x2;\n};\n\nvar TEMPLATE_STRING_REGEX = /%{([^\\s%{}]*)}/g;\nvar SIMPLE_PROPERTY_REGEX = /^\\w*$/;\n\n/*\n * Substitute values from an object into a string\n *\n * Examples:\n *  Lib.templateString('name: %{trace}', {trace: 'asdf'}) --> 'name: asdf'\n *  Lib.templateString('name: %{trace[0].name}', {trace: [{name: 'asdf'}]}) --> 'name: asdf'\n *\n * @param {string}  input string containing %{...} template strings\n * @param {obj}     data object containing substitution values\n *\n * @return {string} templated string\n */\n\nlib.templateString = function(string, obj) {\n    // Not all that useful, but cache nestedProperty instantiation\n    // just in case it speeds things up *slightly*:\n    var getterCache = {};\n\n    return string.replace(TEMPLATE_STRING_REGEX, function(dummy, key) {\n        if(SIMPLE_PROPERTY_REGEX.test(key)) {\n            return obj[key] || '';\n        }\n        getterCache[key] = getterCache[key] || lib.nestedProperty(obj, key).get;\n        return getterCache[key]() || '';\n    });\n};\n\n/*\n * alphanumeric string sort, tailored for subplot IDs like scene2, scene10, x10y13 etc\n */\nvar char0 = 48;\nvar char9 = 57;\nlib.subplotSort = function(a, b) {\n    var l = Math.min(a.length, b.length) + 1;\n    var numA = 0;\n    var numB = 0;\n    for(var i = 0; i < l; i++) {\n        var charA = a.charCodeAt(i) || 0;\n        var charB = b.charCodeAt(i) || 0;\n        var isNumA = charA >= char0 && charA <= char9;\n        var isNumB = charB >= char0 && charB <= char9;\n\n        if(isNumA) numA = 10 * numA + charA - char0;\n        if(isNumB) numB = 10 * numB + charB - char0;\n\n        if(!isNumA || !isNumB) {\n            if(numA !== numB) return numA - numB;\n            if(charA !== charB) return charA - charB;\n        }\n    }\n    return numB - numA;\n};\n\n// repeatable pseudorandom generator\nvar randSeed = 2000000000;\n\nlib.seedPseudoRandom = function() {\n    randSeed = 2000000000;\n};\n\nlib.pseudoRandom = function() {\n    var lastVal = randSeed;\n    randSeed = (69069 * randSeed + 1) % 4294967296;\n    // don't let consecutive vals be too close together\n    // gets away from really trying to be random, in favor of better local uniformity\n    if(Math.abs(randSeed - lastVal) < 429496729) return lib.pseudoRandom();\n    return randSeed / 4294967296;\n};\n\n},{\"../constants/numerical\":673,\"./angles\":677,\"./clean_number\":678,\"./clear_responsive\":680,\"./coerce\":681,\"./dates\":682,\"./ensure_array\":683,\"./extend\":685,\"./filter_unique\":686,\"./filter_visible\":687,\"./geometry2d\":690,\"./get_graph_div\":691,\"./identity\":695,\"./is_array\":697,\"./is_plain_object\":698,\"./keyed_container\":699,\"./localize\":700,\"./loggers\":701,\"./make_trace_groups\":702,\"./matrix\":703,\"./mod\":704,\"./nested_property\":705,\"./noop\":706,\"./notifier\":707,\"./push_unique\":711,\"./regex\":713,\"./relative_attr\":714,\"./relink_private\":715,\"./search\":716,\"./stats\":719,\"./throttle\":722,\"./to_log_range\":723,\"d3\":148,\"fast-isnumeric\":214}],697:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n// IE9 fallbacks\n\nvar ab = (typeof ArrayBuffer === 'undefined' || !ArrayBuffer.isView) ?\n    {isView: function() { return false; }} :\n    ArrayBuffer;\n\nvar dv = (typeof DataView === 'undefined') ?\n    function() {} :\n    DataView;\n\nfunction isTypedArray(a) {\n    return ab.isView(a) && !(a instanceof dv);\n}\n\nfunction isArrayOrTypedArray(a) {\n    return Array.isArray(a) || isTypedArray(a);\n}\n\n/*\n * Test whether an input object is 1D.\n *\n * Assumes we already know the object is an array.\n *\n * Looks only at the first element, if the dimensionality is\n * not consistent we won't figure that out here.\n */\nfunction isArray1D(a) {\n    return !isArrayOrTypedArray(a[0]);\n}\n\nmodule.exports = {\n    isTypedArray: isTypedArray,\n    isArrayOrTypedArray: isArrayOrTypedArray,\n    isArray1D: isArray1D\n};\n\n},{}],698:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n// more info: http://stackoverflow.com/questions/18531624/isplainobject-thing\nmodule.exports = function isPlainObject(obj) {\n\n    // We need to be a little less strict in the `imagetest` container because\n    // of how async image requests are handled.\n    //\n    // N.B. isPlainObject(new Constructor()) will return true in `imagetest`\n    if(window && window.process && window.process.versions) {\n        return Object.prototype.toString.call(obj) === '[object Object]';\n    }\n\n    return (\n        Object.prototype.toString.call(obj) === '[object Object]' &&\n        Object.getPrototypeOf(obj) === Object.prototype\n    );\n};\n\n},{}],699:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar nestedProperty = _dereq_('./nested_property');\n\nvar SIMPLE_PROPERTY_REGEX = /^\\w*$/;\n\n// bitmask for deciding what's updated. Sometimes the name needs to be updated,\n// sometimes the value needs to be updated, and sometimes both do. This is just\n// a simple way to track what's updated such that it's a simple OR operation to\n// assimilate new updates.\n//\n// The only exception is the UNSET bit that tracks when we need to explicitly\n// unset and remove the property. This concrn arises because of the special\n// way in which nestedProperty handles null/undefined. When you specify `null`,\n// it prunes any unused items in the tree. I ran into some issues with it getting\n// null vs undefined confused, so UNSET is just a bit that forces the property\n// update to send `null`, removing the property explicitly rather than setting\n// it to undefined.\nvar NONE = 0;\nvar NAME = 1;\nvar VALUE = 2;\nvar BOTH = 3;\nvar UNSET = 4;\n\nmodule.exports = function keyedContainer(baseObj, path, keyName, valueName) {\n    keyName = keyName || 'name';\n    valueName = valueName || 'value';\n    var i, arr, baseProp;\n    var changeTypes = {};\n\n    if(path && path.length) {\n        baseProp = nestedProperty(baseObj, path);\n        arr = baseProp.get();\n    } else {\n        arr = baseObj;\n    }\n\n    path = path || '';\n\n    // Construct an index:\n    var indexLookup = {};\n    if(arr) {\n        for(i = 0; i < arr.length; i++) {\n            indexLookup[arr[i][keyName]] = i;\n        }\n    }\n\n    var isSimpleValueProp = SIMPLE_PROPERTY_REGEX.test(valueName);\n\n    var obj = {\n        set: function(name, value) {\n            var changeType = value === null ? UNSET : NONE;\n\n            // create the base array if necessary\n            if(!arr) {\n                if(!baseProp || changeType === UNSET) return;\n\n                arr = [];\n                baseProp.set(arr);\n            }\n\n            var idx = indexLookup[name];\n            if(idx === undefined) {\n                if(changeType === UNSET) return;\n\n                changeType = changeType | BOTH;\n                idx = arr.length;\n                indexLookup[name] = idx;\n            } else if(value !== (isSimpleValueProp ? arr[idx][valueName] : nestedProperty(arr[idx], valueName).get())) {\n                changeType = changeType | VALUE;\n            }\n\n            var newValue = arr[idx] = arr[idx] || {};\n            newValue[keyName] = name;\n\n            if(isSimpleValueProp) {\n                newValue[valueName] = value;\n            } else {\n                nestedProperty(newValue, valueName).set(value);\n            }\n\n            // If it's not an unset, force that bit to be unset. This is all related to the fact\n            // that undefined and null are a bit specially implemented in nestedProperties.\n            if(value !== null) {\n                changeType = changeType & ~UNSET;\n            }\n\n            changeTypes[idx] = changeTypes[idx] | changeType;\n\n            return obj;\n        },\n        get: function(name) {\n            if(!arr) return;\n\n            var idx = indexLookup[name];\n\n            if(idx === undefined) {\n                return undefined;\n            } else if(isSimpleValueProp) {\n                return arr[idx][valueName];\n            } else {\n                return nestedProperty(arr[idx], valueName).get();\n            }\n        },\n        rename: function(name, newName) {\n            var idx = indexLookup[name];\n\n            if(idx === undefined) return obj;\n            changeTypes[idx] = changeTypes[idx] | NAME;\n\n            indexLookup[newName] = idx;\n            delete indexLookup[name];\n\n            arr[idx][keyName] = newName;\n\n            return obj;\n        },\n        remove: function(name) {\n            var idx = indexLookup[name];\n\n            if(idx === undefined) return obj;\n\n            var object = arr[idx];\n            if(Object.keys(object).length > 2) {\n                // This object contains more than just the key/value, so unset\n                // the value without modifying the entry otherwise:\n                changeTypes[idx] = changeTypes[idx] | VALUE;\n                return obj.set(name, null);\n            }\n\n            if(isSimpleValueProp) {\n                for(i = idx; i < arr.length; i++) {\n                    changeTypes[i] = changeTypes[i] | BOTH;\n                }\n                for(i = idx; i < arr.length; i++) {\n                    indexLookup[arr[i][keyName]]--;\n                }\n                arr.splice(idx, 1);\n                delete(indexLookup[name]);\n            } else {\n                // Perform this update *strictly* so we can check whether the result's\n                // been pruned. If so, it's a removal. If not, it's a value unset only.\n                nestedProperty(object, valueName).set(null);\n\n                // Now check if the top level nested property has any keys left. If so,\n                // the object still has values so we only want to unset the key. If not,\n                // the entire object can be removed since there's no other data.\n                // var topLevelKeys = Object.keys(object[valueName.split('.')[0]] || []);\n\n                changeTypes[idx] = changeTypes[idx] | VALUE | UNSET;\n            }\n\n            return obj;\n        },\n        constructUpdate: function() {\n            var astr, idx;\n            var update = {};\n            var changed = Object.keys(changeTypes);\n            for(var i = 0; i < changed.length; i++) {\n                idx = changed[i];\n                astr = path + '[' + idx + ']';\n                if(arr[idx]) {\n                    if(changeTypes[idx] & NAME) {\n                        update[astr + '.' + keyName] = arr[idx][keyName];\n                    }\n                    if(changeTypes[idx] & VALUE) {\n                        if(isSimpleValueProp) {\n                            update[astr + '.' + valueName] = (changeTypes[idx] & UNSET) ? null : arr[idx][valueName];\n                        } else {\n                            update[astr + '.' + valueName] = (changeTypes[idx] & UNSET) ? null : nestedProperty(arr[idx], valueName).get();\n                        }\n                    }\n                } else {\n                    update[astr] = null;\n                }\n            }\n\n            return update;\n        }\n    };\n\n    return obj;\n};\n\n},{\"./nested_property\":705}],700:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../registry');\n\n/**\n * localize: translate a string for the current locale\n *\n * @param {object} gd: the graphDiv for context\n *  gd._context.locale determines the language (& optional region/country)\n *  the dictionary for each locale may either be supplied in\n *  gd._context.locales or globally via Plotly.register\n * @param {string} s: the string to translate\n */\nmodule.exports = function localize(gd, s) {\n    var locale = gd._context.locale;\n\n    /*\n     * Priority of lookup:\n     *     contextDicts[locale],\n     *     registeredDicts[locale],\n     *     contextDicts[baseLocale], (if baseLocale is distinct)\n     *     registeredDicts[baseLocale]\n     * Return the first translation we find.\n     * This way if you have a regionalization you are allowed to specify\n     * only what's different from the base locale, everything else will\n     * fall back on the base.\n     */\n    for(var i = 0; i < 2; i++) {\n        var locales = gd._context.locales;\n        for(var j = 0; j < 2; j++) {\n            var dict = (locales[locale] || {}).dictionary;\n            if(dict) {\n                var out = dict[s];\n                if(out) return out;\n            }\n            locales = Registry.localeRegistry;\n        }\n\n        var baseLocale = locale.split('-')[0];\n        if(baseLocale === locale) break;\n        locale = baseLocale;\n    }\n\n    return s;\n};\n\n},{\"../registry\":828}],701:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/* eslint-disable no-console */\n\nvar config = _dereq_('../plot_api/plot_config');\n\nvar loggers = module.exports = {};\n\n/**\n * ------------------------------------------\n * debugging tools\n * ------------------------------------------\n */\n\nloggers.log = function() {\n    if(config.logging > 1) {\n        var messages = ['LOG:'];\n\n        for(var i = 0; i < arguments.length; i++) {\n            messages.push(arguments[i]);\n        }\n\n        apply(console.trace || console.log, messages);\n    }\n};\n\nloggers.warn = function() {\n    if(config.logging > 0) {\n        var messages = ['WARN:'];\n\n        for(var i = 0; i < arguments.length; i++) {\n            messages.push(arguments[i]);\n        }\n\n        apply(console.trace || console.log, messages);\n    }\n};\n\nloggers.error = function() {\n    if(config.logging > 0) {\n        var messages = ['ERROR:'];\n\n        for(var i = 0; i < arguments.length; i++) {\n            messages.push(arguments[i]);\n        }\n\n        apply(console.error, messages);\n    }\n};\n\n/*\n * Robust apply, for IE9 where console.log doesn't support\n * apply like other functions do\n */\nfunction apply(f, args) {\n    if(f && f.apply) {\n        try {\n            // `this` should always be console, since here we're always\n            // applying a method of the console object.\n            f.apply(console, args);\n            return;\n        }\n        catch(e) { /* in case apply failed, fall back on the code below */ }\n    }\n\n    // no apply - just try calling the function on each arg independently\n    for(var i = 0; i < args.length; i++) {\n        try {\n            f(args[i]);\n        }\n        catch(e) {\n            // still fails - last resort simple console.log\n            console.log(args[i]);\n        }\n    }\n}\n\n},{\"../plot_api/plot_config\":733}],702:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n/**\n * General helper to manage trace groups based on calcdata\n *\n * @param {d3.selection} traceLayer: a selection containing a single group\n *     to draw these traces into\n * @param {array} cdModule: array of calcdata items for this\n *     module and subplot combination. Assumes the calcdata item for each\n *     trace is an array with the fullData trace attached to the first item.\n * @param {string} cls: the class attribute to give each trace group\n *     so you can give multiple classes separated by spaces\n */\nmodule.exports = function makeTraceGroups(traceLayer, cdModule, cls) {\n    var traces = traceLayer.selectAll('g.' + cls.replace(/\\s/g, '.'))\n        .data(cdModule, function(cd) { return cd[0].trace.uid; });\n\n    traces.exit().remove();\n\n    traces.enter().append('g')\n        .attr('class', cls);\n\n    traces.order();\n\n    return traces;\n};\n\n},{}],703:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nexports.init2dArray = function(rowLength, colLength) {\n    var array = new Array(rowLength);\n    for(var i = 0; i < rowLength; i++) array[i] = new Array(colLength);\n    return array;\n};\n\n/**\n * transpose a (possibly ragged) 2d array z. inspired by\n * http://stackoverflow.com/questions/17428587/\n * transposing-a-2d-array-in-javascript\n */\nexports.transposeRagged = function(z) {\n    var maxlen = 0,\n        zlen = z.length,\n        i,\n        j;\n    // Maximum row length:\n    for(i = 0; i < zlen; i++) maxlen = Math.max(maxlen, z[i].length);\n\n    var t = new Array(maxlen);\n    for(i = 0; i < maxlen; i++) {\n        t[i] = new Array(zlen);\n        for(j = 0; j < zlen; j++) t[i][j] = z[j][i];\n    }\n\n    return t;\n};\n\n// our own dot function so that we don't need to include numeric\nexports.dot = function(x, y) {\n    if(!(x.length && y.length) || x.length !== y.length) return null;\n\n    var len = x.length,\n        out,\n        i;\n\n    if(x[0].length) {\n        // mat-vec or mat-mat\n        out = new Array(len);\n        for(i = 0; i < len; i++) out[i] = exports.dot(x[i], y);\n    }\n    else if(y[0].length) {\n        // vec-mat\n        var yTranspose = exports.transposeRagged(y);\n        out = new Array(yTranspose.length);\n        for(i = 0; i < yTranspose.length; i++) out[i] = exports.dot(x, yTranspose[i]);\n    }\n    else {\n        // vec-vec\n        out = 0;\n        for(i = 0; i < len; i++) out += x[i] * y[i];\n    }\n\n    return out;\n};\n\n// translate by (x,y)\nexports.translationMatrix = function(x, y) {\n    return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n};\n\n// rotate by alpha around (0,0)\nexports.rotationMatrix = function(alpha) {\n    var a = alpha * Math.PI / 180;\n    return [[Math.cos(a), -Math.sin(a), 0],\n            [Math.sin(a), Math.cos(a), 0],\n            [0, 0, 1]];\n};\n\n// rotate by alpha around (x,y)\nexports.rotationXYMatrix = function(a, x, y) {\n    return exports.dot(\n        exports.dot(exports.translationMatrix(x, y),\n                    exports.rotationMatrix(a)),\n        exports.translationMatrix(-x, -y));\n};\n\n// applies a 2D transformation matrix to either x and y params or an [x,y] array\nexports.apply2DTransform = function(transform) {\n    return function() {\n        var args = arguments;\n        if(args.length === 3) {\n            args = args[0];\n        }// from map\n        var xy = arguments.length === 1 ? args[0] : [args[0], args[1]];\n        return exports.dot(transform, [xy[0], xy[1], 1]).slice(0, 2);\n    };\n};\n\n// applies a 2D transformation matrix to an [x1,y1,x2,y2] array (to transform a segment)\nexports.apply2DTransform2 = function(transform) {\n    var at = exports.apply2DTransform(transform);\n    return function(xys) {\n        return at(xys.slice(0, 2)).concat(at(xys.slice(2, 4)));\n    };\n};\n\n},{}],704:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/**\n * sanitized modulus function that always returns in the range [0, d)\n * rather than (-d, 0] if v is negative\n */\nfunction mod(v, d) {\n    var out = v % d;\n    return out < 0 ? out + d : out;\n}\n\n/**\n * sanitized modulus function that always returns in the range [-d/2, d/2]\n * rather than (-d, 0] if v is negative\n */\nfunction modHalf(v, d) {\n    return Math.abs(v) > (d / 2) ?\n        v - Math.round(v / d) * d :\n        v;\n}\n\nmodule.exports = {\n    mod: mod,\n    modHalf: modHalf\n};\n\n},{}],705:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar isArrayOrTypedArray = _dereq_('./is_array').isArrayOrTypedArray;\n\n/**\n * convert a string s (such as 'xaxis.range[0]')\n * representing a property of nested object into set and get methods\n * also return the string and object so we don't have to keep track of them\n * allows [-1] for an array index, to set a property inside all elements\n * of an array\n * eg if obj = {arr: [{a: 1}, {a: 2}]}\n * you can do p = nestedProperty(obj, 'arr[-1].a')\n * but you cannot set the array itself this way, to do that\n * just set the whole array.\n * eg if obj = {arr: [1, 2, 3]}\n * you can't do nestedProperty(obj, 'arr[-1]').set(5)\n * but you can do nestedProperty(obj, 'arr').set([5, 5, 5])\n */\nmodule.exports = function nestedProperty(container, propStr) {\n    if(isNumeric(propStr)) propStr = String(propStr);\n    else if(typeof propStr !== 'string' ||\n            propStr.substr(propStr.length - 4) === '[-1]') {\n        throw 'bad property string';\n    }\n\n    var j = 0,\n        propParts = propStr.split('.'),\n        indexed,\n        indices,\n        i;\n\n    // check for parts of the nesting hierarchy that are numbers (ie array elements)\n    while(j < propParts.length) {\n        // look for non-bracket chars, then any number of [##] blocks\n        indexed = String(propParts[j]).match(/^([^\\[\\]]*)((\\[\\-?[0-9]*\\])+)$/);\n        if(indexed) {\n            if(indexed[1]) propParts[j] = indexed[1];\n            // allow propStr to start with bracketed array indices\n            else if(j === 0) propParts.splice(0, 1);\n            else throw 'bad property string';\n\n            indices = indexed[2]\n                .substr(1, indexed[2].length - 2)\n                .split('][');\n\n            for(i = 0; i < indices.length; i++) {\n                j++;\n                propParts.splice(j, 0, Number(indices[i]));\n            }\n        }\n        j++;\n    }\n\n    if(typeof container !== 'object') {\n        return badContainer(container, propStr, propParts);\n    }\n\n    return {\n        set: npSet(container, propParts, propStr),\n        get: npGet(container, propParts),\n        astr: propStr,\n        parts: propParts,\n        obj: container\n    };\n};\n\nfunction npGet(cont, parts) {\n    return function() {\n        var curCont = cont,\n            curPart,\n            allSame,\n            out,\n            i,\n            j;\n\n        for(i = 0; i < parts.length - 1; i++) {\n            curPart = parts[i];\n            if(curPart === -1) {\n                allSame = true;\n                out = [];\n                for(j = 0; j < curCont.length; j++) {\n                    out[j] = npGet(curCont[j], parts.slice(i + 1))();\n                    if(out[j] !== out[0]) allSame = false;\n                }\n                return allSame ? out[0] : out;\n            }\n            if(typeof curPart === 'number' && !isArrayOrTypedArray(curCont)) {\n                return undefined;\n            }\n            curCont = curCont[curPart];\n            if(typeof curCont !== 'object' || curCont === null) {\n                return undefined;\n            }\n        }\n\n        // only hit this if parts.length === 1\n        if(typeof curCont !== 'object' || curCont === null) return undefined;\n\n        out = curCont[parts[i]];\n        if(out === null) return undefined;\n        return out;\n    };\n}\n\n/*\n * Can this value be deleted? We can delete `undefined`, and `null` except INSIDE an\n * *args* array.\n *\n * Previously we also deleted some `{}` and `[]`, in order to try and make set/unset\n * a net noop; but this causes far more complication than it's worth, and still had\n * lots of exceptions. See https://github.com/plotly/plotly.js/issues/1410\n *\n * *args* arrays get passed directly to API methods and we should respect null if\n * the user put it there, but otherwise null is deleted as we use it as code\n * in restyle/relayout/update for \"delete this value\" whereas undefined means\n * \"ignore this edit\"\n */\nvar ARGS_PATTERN = /(^|\\.)args\\[/;\nfunction isDeletable(val, propStr) {\n    return (val === undefined) || (val === null && !propStr.match(ARGS_PATTERN));\n}\n\nfunction npSet(cont, parts, propStr) {\n    return function(val) {\n        var curCont = cont,\n            propPart = '',\n            containerLevels = [[cont, propPart]],\n            toDelete = isDeletable(val, propStr),\n            curPart,\n            i;\n\n        for(i = 0; i < parts.length - 1; i++) {\n            curPart = parts[i];\n\n            if(typeof curPart === 'number' && !isArrayOrTypedArray(curCont)) {\n                throw 'array index but container is not an array';\n            }\n\n            // handle special -1 array index\n            if(curPart === -1) {\n                toDelete = !setArrayAll(curCont, parts.slice(i + 1), val, propStr);\n                if(toDelete) break;\n                else return;\n            }\n\n            if(!checkNewContainer(curCont, curPart, parts[i + 1], toDelete)) {\n                break;\n            }\n\n            curCont = curCont[curPart];\n\n            if(typeof curCont !== 'object' || curCont === null) {\n                throw 'container is not an object';\n            }\n\n            propPart = joinPropStr(propPart, curPart);\n\n            containerLevels.push([curCont, propPart]);\n        }\n\n        if(toDelete) {\n            if(i === parts.length - 1) {\n                delete curCont[parts[i]];\n\n                // The one bit of pruning we still do: drop `undefined` from the end of arrays.\n                // In case someone has already unset previous items, continue until we hit a\n                // non-undefined value.\n                if(Array.isArray(curCont) && +parts[i] === curCont.length - 1) {\n                    while(curCont.length && curCont[curCont.length - 1] === undefined) {\n                        curCont.pop();\n                    }\n                }\n            }\n        }\n        else curCont[parts[i]] = val;\n    };\n}\n\nfunction joinPropStr(propStr, newPart) {\n    var toAdd = newPart;\n    if(isNumeric(newPart)) toAdd = '[' + newPart + ']';\n    else if(propStr) toAdd = '.' + newPart;\n\n    return propStr + toAdd;\n}\n\n// handle special -1 array index\nfunction setArrayAll(containerArray, innerParts, val, propStr) {\n    var arrayVal = isArrayOrTypedArray(val),\n        allSet = true,\n        thisVal = val,\n        thisPropStr = propStr.replace('-1', 0),\n        deleteThis = arrayVal ? false : isDeletable(val, thisPropStr),\n        firstPart = innerParts[0],\n        i;\n\n    for(i = 0; i < containerArray.length; i++) {\n        thisPropStr = propStr.replace('-1', i);\n        if(arrayVal) {\n            thisVal = val[i % val.length];\n            deleteThis = isDeletable(thisVal, thisPropStr);\n        }\n        if(deleteThis) allSet = false;\n        if(!checkNewContainer(containerArray, i, firstPart, deleteThis)) {\n            continue;\n        }\n        npSet(containerArray[i], innerParts, propStr.replace('-1', i))(thisVal);\n    }\n    return allSet;\n}\n\n/**\n * make new sub-container as needed.\n * returns false if there's no container and none is needed\n * because we're only deleting an attribute\n */\nfunction checkNewContainer(container, part, nextPart, toDelete) {\n    if(container[part] === undefined) {\n        if(toDelete) return false;\n\n        if(typeof nextPart === 'number') container[part] = [];\n        else container[part] = {};\n    }\n    return true;\n}\n\nfunction badContainer(container, propStr, propParts) {\n    return {\n        set: function() { throw 'bad container'; },\n        get: function() {},\n        astr: propStr,\n        parts: propParts,\n        obj: container\n    };\n}\n\n},{\"./is_array\":697,\"fast-isnumeric\":214}],706:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n// Simple helper functions\n// none of these need any external deps\n\nmodule.exports = function noop() {};\n\n},{}],707:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar NOTEDATA = [];\n\n/**\n * notifier\n * @param {String} text The person's user name\n * @param {Number} [delay=1000] The delay time in milliseconds\n *          or 'long' which provides 2000 ms delay time.\n * @return {undefined} this function does not return a value\n */\nmodule.exports = function(text, displayLength) {\n    if(NOTEDATA.indexOf(text) !== -1) return;\n\n    NOTEDATA.push(text);\n\n    var ts = 1000;\n    if(isNumeric(displayLength)) ts = displayLength;\n    else if(displayLength === 'long') ts = 3000;\n\n    var notifierContainer = d3.select('body')\n        .selectAll('.plotly-notifier')\n        .data([0]);\n    notifierContainer.enter()\n        .append('div')\n        .classed('plotly-notifier', true);\n\n    var notes = notifierContainer.selectAll('.notifier-note').data(NOTEDATA);\n\n    function killNote(transition) {\n        transition\n            .duration(700)\n            .style('opacity', 0)\n            .each('end', function(thisText) {\n                var thisIndex = NOTEDATA.indexOf(thisText);\n                if(thisIndex !== -1) NOTEDATA.splice(thisIndex, 1);\n                d3.select(this).remove();\n            });\n    }\n\n    notes.enter().append('div')\n        .classed('notifier-note', true)\n        .style('opacity', 0)\n        .each(function(thisText) {\n            var note = d3.select(this);\n\n            note.append('button')\n                .classed('notifier-close', true)\n                .html('&times;')\n                .on('click', function() {\n                    note.transition().call(killNote);\n                });\n\n            var p = note.append('p');\n            var lines = thisText.split(/<br\\s*\\/?>/g);\n            for(var i = 0; i < lines.length; i++) {\n                if(i) p.append('br');\n                p.append('span').text(lines[i]);\n            }\n\n            note.transition()\n                    .duration(700)\n                    .style('opacity', 1)\n                .transition()\n                    .delay(ts)\n                    .call(killNote);\n        });\n};\n\n},{\"d3\":148,\"fast-isnumeric\":214}],708:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar setCursor = _dereq_('./setcursor');\n\nvar STASHATTR = 'data-savedcursor';\nvar NO_CURSOR = '!!';\n\n/*\n * works with our CSS cursor classes (see css/_cursor.scss)\n * to override a previous cursor set on d3 single-element selections,\n * by moving the name of the original cursor to the data-savedcursor attr.\n * omit cursor to revert to the previously set value.\n */\nmodule.exports = function overrideCursor(el3, csr) {\n    var savedCursor = el3.attr(STASHATTR);\n    if(csr) {\n        if(!savedCursor) {\n            var classes = (el3.attr('class') || '').split(' ');\n            for(var i = 0; i < classes.length; i++) {\n                var cls = classes[i];\n                if(cls.indexOf('cursor-') === 0) {\n                    el3.attr(STASHATTR, cls.substr(7))\n                        .classed(cls, false);\n                }\n            }\n            if(!el3.attr(STASHATTR)) {\n                el3.attr(STASHATTR, NO_CURSOR);\n            }\n        }\n        setCursor(el3, csr);\n    }\n    else if(savedCursor) {\n        el3.attr(STASHATTR, null);\n\n        if(savedCursor === NO_CURSOR) setCursor(el3);\n        else setCursor(el3, savedCursor);\n    }\n};\n\n},{\"./setcursor\":717}],709:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar dot = _dereq_('./matrix').dot;\nvar BADNUM = _dereq_('../constants/numerical').BADNUM;\n\nvar polygon = module.exports = {};\n\n/**\n * Turn an array of [x, y] pairs into a polygon object\n * that can test if points are inside it\n *\n * @param ptsIn Array of [x, y] pairs\n *\n * @returns polygon Object {xmin, xmax, ymin, ymax, pts, contains}\n *      (x|y)(min|max) are the bounding rect of the polygon\n *      pts is the original array, with the first pair repeated at the end\n *      contains is a function: (pt, omitFirstEdge)\n *          pt is the [x, y] pair to test\n *          omitFirstEdge truthy means points exactly on the first edge don't\n *              count. This is for use adding one polygon to another so we\n *              don't double-count the edge where they meet.\n *          returns boolean: is pt inside the polygon (including on its edges)\n */\npolygon.tester = function tester(ptsIn) {\n    var pts = ptsIn.slice(),\n        xmin = pts[0][0],\n        xmax = xmin,\n        ymin = pts[0][1],\n        ymax = ymin,\n        i;\n\n    pts.push(pts[0]);\n    for(i = 1; i < pts.length; i++) {\n        xmin = Math.min(xmin, pts[i][0]);\n        xmax = Math.max(xmax, pts[i][0]);\n        ymin = Math.min(ymin, pts[i][1]);\n        ymax = Math.max(ymax, pts[i][1]);\n    }\n\n    // do we have a rectangle? Handle this here, so we can use the same\n    // tester for the rectangular case without sacrificing speed\n\n    var isRect = false,\n        rectFirstEdgeTest;\n\n    if(pts.length === 5) {\n        if(pts[0][0] === pts[1][0]) { // vert, horz, vert, horz\n            if(pts[2][0] === pts[3][0] &&\n                    pts[0][1] === pts[3][1] &&\n                    pts[1][1] === pts[2][1]) {\n                isRect = true;\n                rectFirstEdgeTest = function(pt) { return pt[0] === pts[0][0]; };\n            }\n        }\n        else if(pts[0][1] === pts[1][1]) { // horz, vert, horz, vert\n            if(pts[2][1] === pts[3][1] &&\n                    pts[0][0] === pts[3][0] &&\n                    pts[1][0] === pts[2][0]) {\n                isRect = true;\n                rectFirstEdgeTest = function(pt) { return pt[1] === pts[0][1]; };\n            }\n        }\n    }\n\n    function rectContains(pt, omitFirstEdge) {\n        var x = pt[0],\n            y = pt[1];\n\n        if(x === BADNUM || x < xmin || x > xmax || y === BADNUM || y < ymin || y > ymax) {\n            // pt is outside the bounding box of polygon\n            return false;\n        }\n        if(omitFirstEdge && rectFirstEdgeTest(pt)) return false;\n\n        return true;\n    }\n\n    function contains(pt, omitFirstEdge) {\n        var x = pt[0],\n            y = pt[1];\n\n        if(x === BADNUM || x < xmin || x > xmax || y === BADNUM || y < ymin || y > ymax) {\n            // pt is outside the bounding box of polygon\n            return false;\n        }\n\n        var imax = pts.length,\n            x1 = pts[0][0],\n            y1 = pts[0][1],\n            crossings = 0,\n            i,\n            x0,\n            y0,\n            xmini,\n            ycross;\n\n        for(i = 1; i < imax; i++) {\n            // find all crossings of a vertical line upward from pt with\n            // polygon segments\n            // crossings exactly at xmax don't count, unless the point is\n            // exactly on the segment, then it counts as inside.\n            x0 = x1;\n            y0 = y1;\n            x1 = pts[i][0];\n            y1 = pts[i][1];\n            xmini = Math.min(x0, x1);\n\n            // outside the bounding box of this segment, it's only a crossing\n            // if it's below the box.\n            if(x < xmini || x > Math.max(x0, x1) || y > Math.max(y0, y1)) {\n                continue;\n            }\n            else if(y < Math.min(y0, y1)) {\n                // don't count the left-most point of the segment as a crossing\n                // because we don't want to double-count adjacent crossings\n                // UNLESS the polygon turns past vertical at exactly this x\n                // Note that this is repeated below, but we can't factor it out\n                // because\n                if(x !== xmini) crossings++;\n            }\n            // inside the bounding box, check the actual line intercept\n            else {\n                // vertical segment - we know already that the point is exactly\n                // on the segment, so mark the crossing as exactly at the point.\n                if(x1 === x0) ycross = y;\n                // any other angle\n                else ycross = y0 + (x - x0) * (y1 - y0) / (x1 - x0);\n\n                // exactly on the edge: counts as inside the polygon, unless it's the\n                // first edge and we're omitting it.\n                if(y === ycross) {\n                    if(i === 1 && omitFirstEdge) return false;\n                    return true;\n                }\n\n                if(y <= ycross && x !== xmini) crossings++;\n            }\n        }\n\n        // if we've gotten this far, odd crossings means inside, even is outside\n        return crossings % 2 === 1;\n    }\n\n    // detect if poly is degenerate\n    var degenerate = true;\n    var lastPt = pts[0];\n    for(i = 1; i < pts.length; i++) {\n        if(lastPt[0] !== pts[i][0] || lastPt[1] !== pts[i][1]) {\n            degenerate = false;\n            break;\n        }\n    }\n\n    return {\n        xmin: xmin,\n        xmax: xmax,\n        ymin: ymin,\n        ymax: ymax,\n        pts: pts,\n        contains: isRect ? rectContains : contains,\n        isRect: isRect,\n        degenerate: degenerate\n    };\n};\n\n/**\n * Test if a segment of a points array is bent or straight\n *\n * @param pts Array of [x, y] pairs\n * @param start the index of the proposed start of the straight section\n * @param end the index of the proposed end point\n * @param tolerance the max distance off the line connecting start and end\n *      before the line counts as bent\n * @returns boolean: true means this segment is bent, false means straight\n */\nvar isBent = polygon.isSegmentBent = function isBent(pts, start, end, tolerance) {\n    var startPt = pts[start],\n        segment = [pts[end][0] - startPt[0], pts[end][1] - startPt[1]],\n        segmentSquared = dot(segment, segment),\n        segmentLen = Math.sqrt(segmentSquared),\n        unitPerp = [-segment[1] / segmentLen, segment[0] / segmentLen],\n        i,\n        part,\n        partParallel;\n\n    for(i = start + 1; i < end; i++) {\n        part = [pts[i][0] - startPt[0], pts[i][1] - startPt[1]];\n        partParallel = dot(part, segment);\n\n        if(partParallel < 0 || partParallel > segmentSquared ||\n            Math.abs(dot(part, unitPerp)) > tolerance) return true;\n    }\n    return false;\n};\n\n/**\n * Make a filtering polygon, to minimize the number of segments\n *\n * @param pts Array of [x, y] pairs (must start with at least 1 pair)\n * @param tolerance the maximum deviation from straight allowed for\n *      removing points to simplify the polygon\n *\n * @returns Object {addPt, raw, filtered}\n *      addPt is a function(pt: [x, y] pair) to add a raw point and\n *          continue filtering\n *      raw is all the input points\n *      filtered is the resulting filtered Array of [x, y] pairs\n */\npolygon.filter = function filter(pts, tolerance) {\n    var ptsFiltered = [pts[0]],\n        doneRawIndex = 0,\n        doneFilteredIndex = 0;\n\n    function addPt(pt) {\n        pts.push(pt);\n        var prevFilterLen = ptsFiltered.length,\n            iLast = doneRawIndex;\n        ptsFiltered.splice(doneFilteredIndex + 1);\n\n        for(var i = iLast + 1; i < pts.length; i++) {\n            if(i === pts.length - 1 || isBent(pts, iLast, i + 1, tolerance)) {\n                ptsFiltered.push(pts[i]);\n                if(ptsFiltered.length < prevFilterLen - 2) {\n                    doneRawIndex = i;\n                    doneFilteredIndex = ptsFiltered.length - 1;\n                }\n                iLast = i;\n            }\n        }\n    }\n\n    if(pts.length > 1) {\n        var lastPt = pts.pop();\n        addPt(lastPt);\n    }\n\n    return {\n        addPt: addPt,\n        raw: pts,\n        filtered: ptsFiltered\n    };\n};\n\n},{\"../constants/numerical\":673,\"./matrix\":703}],710:[function(_dereq_,module,exports){\n(function (global){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar showNoWebGlMsg = _dereq_('./show_no_webgl_msg');\n\n// Note that this module should be ONLY required into\n// files corresponding to regl trace modules\n// so that bundles with non-regl only don't include\n// regl and all its bytes.\nvar createRegl = _dereq_('regl');\n\n/**\n * Idempotent version of createRegl. Create regl instances\n * in the correct canvases with the correct attributes and\n * options\n *\n * @param {DOM node or object} gd : graph div object\n * @param {array} extensions : list of extension to pass to createRegl\n *\n * @return {boolean} true if all createRegl calls succeeded, false otherwise\n */\nmodule.exports = function prepareRegl(gd, extensions) {\n    var fullLayout = gd._fullLayout;\n    var success = true;\n\n    fullLayout._glcanvas.each(function(d) {\n        if(d.regl) return;\n        // only parcoords needs pick layer\n        if(d.pick && !fullLayout._has('parcoords')) return;\n\n        try {\n            d.regl = createRegl({\n                canvas: this,\n                attributes: {\n                    antialias: !d.pick,\n                    preserveDrawingBuffer: true\n                },\n                pixelRatio: gd._context.plotGlPixelRatio || global.devicePixelRatio,\n                extensions: extensions || []\n            });\n        } catch(e) {\n            success = false;\n        }\n\n        if(success) {\n            this.addEventListener('webglcontextlost', function(event) {\n                if(gd && gd.emit) {\n                    gd.emit('plotly_webglcontextlost', {\n                        event: event,\n                        layer: d.key\n                    });\n                }\n            }, false);\n        }\n    });\n\n    if(!success) {\n        showNoWebGlMsg({container: fullLayout._glcontainer.node()});\n    }\n    return success;\n};\n\n}).call(this,typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {})\n},{\"./show_no_webgl_msg\":718,\"regl\":478}],711:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/**\n * Push array with unique items\n *\n * Ignores falsy items, except 0 so we can use it to construct arrays of indices.\n *\n * @param {array} array\n *  array to be filled\n * @param {any} item\n *  item to be or not to be inserted\n * @return {array}\n *  ref to array (now possibly containing one more item)\n *\n */\nmodule.exports = function pushUnique(array, item) {\n    if(item instanceof RegExp) {\n        var itemStr = item.toString(),\n            i;\n        for(i = 0; i < array.length; i++) {\n            if(array[i] instanceof RegExp && array[i].toString() === itemStr) {\n                return array;\n            }\n        }\n        array.push(item);\n    }\n    else if((item || item === 0) && array.indexOf(item) === -1) array.push(item);\n\n    return array;\n};\n\n},{}],712:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar config = _dereq_('../plot_api/plot_config');\n\n\n/**\n * Copy arg array *without* removing `undefined` values from objects.\n *\n * @param gd\n * @param args\n * @returns {Array}\n */\nfunction copyArgArray(gd, args) {\n    var copy = [];\n    var arg;\n\n    for(var i = 0; i < args.length; i++) {\n        arg = args[i];\n\n        if(arg === gd) copy[i] = arg;\n        else if(typeof arg === 'object') {\n            copy[i] = Array.isArray(arg) ?\n                Lib.extendDeep([], arg) :\n                Lib.extendDeepAll({}, arg);\n        }\n        else copy[i] = arg;\n    }\n\n    return copy;\n}\n\n\n// -----------------------------------------------------\n// Undo/Redo queue for plots\n// -----------------------------------------------------\n\n\nvar queue = {};\n\n// TODO: disable/enable undo and redo buttons appropriately\n\n/**\n * Add an item to the undoQueue for a graphDiv\n *\n * @param gd\n * @param undoFunc Function undo this operation\n * @param undoArgs Args to supply undoFunc with\n * @param redoFunc Function to redo this operation\n * @param redoArgs Args to supply redoFunc with\n */\nqueue.add = function(gd, undoFunc, undoArgs, redoFunc, redoArgs) {\n    var queueObj,\n        queueIndex;\n\n    // make sure we have the queue and our position in it\n    gd.undoQueue = gd.undoQueue || {index: 0, queue: [], sequence: false};\n    queueIndex = gd.undoQueue.index;\n\n    // if we're already playing an undo or redo, or if this is an auto operation\n    // (like pane resize... any others?) then we don't save this to the undo queue\n    if(gd.autoplay) {\n        if(!gd.undoQueue.inSequence) gd.autoplay = false;\n        return;\n    }\n\n    // if we're not in a sequence or are just starting, we need a new queue item\n    if(!gd.undoQueue.sequence || gd.undoQueue.beginSequence) {\n        queueObj = {undo: {calls: [], args: []}, redo: {calls: [], args: []}};\n        gd.undoQueue.queue.splice(queueIndex, gd.undoQueue.queue.length - queueIndex, queueObj);\n        gd.undoQueue.index += 1;\n    } else {\n        queueObj = gd.undoQueue.queue[queueIndex - 1];\n    }\n    gd.undoQueue.beginSequence = false;\n\n    // we unshift to handle calls for undo in a forward for loop later\n    if(queueObj) {\n        queueObj.undo.calls.unshift(undoFunc);\n        queueObj.undo.args.unshift(undoArgs);\n        queueObj.redo.calls.push(redoFunc);\n        queueObj.redo.args.push(redoArgs);\n    }\n\n    if(gd.undoQueue.queue.length > config.queueLength) {\n        gd.undoQueue.queue.shift();\n        gd.undoQueue.index--;\n    }\n};\n\n/**\n * Begin a sequence of undoQueue changes\n *\n * @param gd\n */\nqueue.startSequence = function(gd) {\n    gd.undoQueue = gd.undoQueue || {index: 0, queue: [], sequence: false};\n    gd.undoQueue.sequence = true;\n    gd.undoQueue.beginSequence = true;\n};\n\n/**\n * Stop a sequence of undoQueue changes\n *\n * Call this *after* you're sure your undo chain has ended\n *\n * @param gd\n */\nqueue.stopSequence = function(gd) {\n    gd.undoQueue = gd.undoQueue || {index: 0, queue: [], sequence: false};\n    gd.undoQueue.sequence = false;\n    gd.undoQueue.beginSequence = false;\n};\n\n/**\n * Move one step back in the undo queue, and undo the object there.\n *\n * @param gd\n */\nqueue.undo = function undo(gd) {\n    var queueObj, i;\n\n    if(gd.framework && gd.framework.isPolar) {\n        gd.framework.undo();\n        return;\n    }\n    if(gd.undoQueue === undefined ||\n            isNaN(gd.undoQueue.index) ||\n            gd.undoQueue.index <= 0) {\n        return;\n    }\n\n    // index is pointing to next *forward* queueObj, point to the one we're undoing\n    gd.undoQueue.index--;\n\n    // get the queueObj for instructions on how to undo\n    queueObj = gd.undoQueue.queue[gd.undoQueue.index];\n\n    // this sequence keeps things from adding to the queue during undo/redo\n    gd.undoQueue.inSequence = true;\n    for(i = 0; i < queueObj.undo.calls.length; i++) {\n        queue.plotDo(gd, queueObj.undo.calls[i], queueObj.undo.args[i]);\n    }\n    gd.undoQueue.inSequence = false;\n    gd.autoplay = false;\n};\n\n/**\n * Redo the current object in the undo, then move forward in the queue.\n *\n * @param gd\n */\nqueue.redo = function redo(gd) {\n    var queueObj, i;\n\n    if(gd.framework && gd.framework.isPolar) {\n        gd.framework.redo();\n        return;\n    }\n    if(gd.undoQueue === undefined ||\n            isNaN(gd.undoQueue.index) ||\n            gd.undoQueue.index >= gd.undoQueue.queue.length) {\n        return;\n    }\n\n    // get the queueObj for instructions on how to undo\n    queueObj = gd.undoQueue.queue[gd.undoQueue.index];\n\n    // this sequence keeps things from adding to the queue during undo/redo\n    gd.undoQueue.inSequence = true;\n    for(i = 0; i < queueObj.redo.calls.length; i++) {\n        queue.plotDo(gd, queueObj.redo.calls[i], queueObj.redo.args[i]);\n    }\n    gd.undoQueue.inSequence = false;\n    gd.autoplay = false;\n\n    // index is pointing to the thing we just redid, move it\n    gd.undoQueue.index++;\n};\n\n/**\n * Called by undo/redo to make the actual changes.\n *\n * Not meant to be called publically, but included for mocking out in tests.\n *\n * @param gd\n * @param func\n * @param args\n */\nqueue.plotDo = function(gd, func, args) {\n    gd.autoplay = true;\n\n    // this *won't* copy gd and it preserves `undefined` properties!\n    args = copyArgArray(gd, args);\n\n    // call the supplied function\n    func.apply(null, args);\n};\n\nmodule.exports = queue;\n\n},{\"../lib\":696,\"../plot_api/plot_config\":733}],713:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/*\n * make a regex for matching counter ids/names ie xaxis, xaxis2, xaxis10...\n *\n * @param {string} head: the head of the pattern, eg 'x' matches 'x', 'x2', 'x10' etc.\n *      'xy' is a special case for cartesian subplots: it matches 'x2y3' etc\n * @param {Optional(string)} tail: a fixed piece after the id\n *      eg counterRegex('scene', '.annotations') for scene2.annotations etc.\n * @param {boolean} openEnded: if true, the string may continue past the match.\n */\nexports.counter = function(head, tail, openEnded) {\n    var fullTail = (tail || '') + (openEnded ? '' : '$');\n    if(head === 'xy') {\n        return new RegExp('^x([2-9]|[1-9][0-9]+)?y([2-9]|[1-9][0-9]+)?' + fullTail);\n    }\n    return new RegExp('^' + head + '([2-9]|[1-9][0-9]+)?' + fullTail);\n};\n\n},{}],714:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n// ASCEND: chop off the last nesting level - either [<n>] or .<key> - to ascend\n// the attribute tree. the remaining attrString is in match[1]\nvar ASCEND = /^(.*)(\\.[^\\.\\[\\]]+|\\[\\d\\])$/;\n\n// SIMPLEATTR: is this an un-nested attribute? (no dots or brackets)\nvar SIMPLEATTR = /^[^\\.\\[\\]]+$/;\n\n/*\n * calculate a relative attribute string, similar to a relative path\n *\n * @param {string} baseAttr:\n *   an attribute string, such as 'annotations[3].x'. The \"current location\"\n *   is the attribute string minus the last component ('annotations[3]')\n * @param {string} relativeAttr:\n *   a route to the desired attribute string, using '^' to ascend\n *\n * @return {string} attrString:\n *   for example:\n *     relativeAttr('annotations[3].x', 'y') = 'annotations[3].y'\n *     relativeAttr('annotations[3].x', '^[2].z') = 'annotations[2].z'\n *     relativeAttr('annotations[3].x', '^^margin') = 'margin'\n *     relativeAttr('annotations[3].x', '^^margin.r') = 'margin.r'\n */\nmodule.exports = function(baseAttr, relativeAttr) {\n    while(relativeAttr) {\n        var match = baseAttr.match(ASCEND);\n\n        if(match) baseAttr = match[1];\n        else if(baseAttr.match(SIMPLEATTR)) baseAttr = '';\n        else throw new Error('bad relativeAttr call:' + [baseAttr, relativeAttr]);\n\n        if(relativeAttr.charAt(0) === '^') relativeAttr = relativeAttr.slice(1);\n        else break;\n    }\n\n    if(baseAttr && relativeAttr.charAt(0) !== '[') {\n        return baseAttr + '.' + relativeAttr;\n    }\n    return baseAttr + relativeAttr;\n};\n\n},{}],715:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isArrayOrTypedArray = _dereq_('./is_array').isArrayOrTypedArray;\nvar isPlainObject = _dereq_('./is_plain_object');\n\n/**\n * Relink private _keys and keys with a function value from one container\n * to the new container.\n * Relink means copying if object is pass-by-value and adding a reference\n * if object is pass-by-ref.\n * This prevents deepCopying massive structures like a webgl context.\n */\nmodule.exports = function relinkPrivateKeys(toContainer, fromContainer) {\n    for(var k in fromContainer) {\n        var fromVal = fromContainer[k];\n        var toVal = toContainer[k];\n\n        if(toVal === fromVal) {\n            continue;\n        }\n        if(k.charAt(0) === '_' || typeof fromVal === 'function') {\n\n            // if it already exists at this point, it's something\n            // that we recreate each time around, so ignore it\n            if(k in toContainer) continue;\n\n            toContainer[k] = fromVal;\n        }\n        else if(isArrayOrTypedArray(fromVal) && isArrayOrTypedArray(toVal) && isPlainObject(fromVal[0])) {\n\n            // filter out data_array items that can contain user objects\n            // most of the time the toVal === fromVal check will catch these early\n            // but if the user makes new ones we also don't want to recurse in.\n            if(k === 'customdata' || k === 'ids') continue;\n\n            // recurse into arrays containers\n            var minLen = Math.min(fromVal.length, toVal.length);\n            for(var j = 0; j < minLen; j++) {\n                if((toVal[j] !== fromVal[j]) && isPlainObject(fromVal[j]) && isPlainObject(toVal[j])) {\n                    relinkPrivateKeys(toVal[j], fromVal[j]);\n                }\n            }\n        }\n        else if(isPlainObject(fromVal) && isPlainObject(toVal)) {\n\n            // recurse into objects, but only if they still exist\n            relinkPrivateKeys(toVal, fromVal);\n\n            if(!Object.keys(toVal).length) delete toContainer[k];\n        }\n    }\n};\n\n},{\"./is_array\":697,\"./is_plain_object\":698}],716:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar loggers = _dereq_('./loggers');\nvar identity = _dereq_('./identity');\n\n// don't trust floating point equality - fraction of bin size to call\n// \"on the line\" and ensure that they go the right way specified by\n// linelow\nvar roundingError = 1e-9;\n\n\n/**\n * findBin - find the bin for val - note that it can return outside the\n * bin range any pos. or neg. integer for linear bins, or -1 or\n * bins.length-1 for explicit.\n * bins is either an object {start,size,end} or an array length #bins+1\n * bins can be either increasing or decreasing but must be monotonic\n * for linear bins, we can just calculate. For listed bins, run a binary\n * search linelow (truthy) says the bin boundary should be attributed to\n * the lower bin rather than the default upper bin\n */\nexports.findBin = function(val, bins, linelow) {\n    if(isNumeric(bins.start)) {\n        return linelow ?\n            Math.ceil((val - bins.start) / bins.size - roundingError) - 1 :\n            Math.floor((val - bins.start) / bins.size + roundingError);\n    }\n    else {\n        var n1 = 0;\n        var n2 = bins.length;\n        var c = 0;\n        var binSize = (n2 > 1) ? (bins[n2 - 1] - bins[0]) / (n2 - 1) : 1;\n        var n, test;\n        if(binSize >= 0) {\n            test = linelow ? lessThan : lessOrEqual;\n        } else {\n            test = linelow ? greaterOrEqual : greaterThan;\n        }\n        val += binSize * roundingError * (linelow ? -1 : 1) * (binSize >= 0 ? 1 : -1);\n        // c is just to avoid infinite loops if there's an error\n        while(n1 < n2 && c++ < 100) {\n            n = Math.floor((n1 + n2) / 2);\n            if(test(bins[n], val)) n1 = n + 1;\n            else n2 = n;\n        }\n        if(c > 90) loggers.log('Long binary search...');\n        return n1 - 1;\n    }\n};\n\nfunction lessThan(a, b) { return a < b; }\nfunction lessOrEqual(a, b) { return a <= b; }\nfunction greaterThan(a, b) { return a > b; }\nfunction greaterOrEqual(a, b) { return a >= b; }\n\nexports.sorterAsc = function(a, b) { return a - b; };\nexports.sorterDes = function(a, b) { return b - a; };\n\n/**\n * find distinct values in an array, lumping together ones that appear to\n * just be off by a rounding error\n * return the distinct values and the minimum difference between any two\n */\nexports.distinctVals = function(valsIn) {\n    var vals = valsIn.slice();  // otherwise we sort the original array...\n    vals.sort(exports.sorterAsc);\n\n    var l = vals.length - 1,\n        minDiff = (vals[l] - vals[0]) || 1,\n        errDiff = minDiff / (l || 1) / 10000,\n        v2 = [vals[0]];\n\n    for(var i = 0; i < l; i++) {\n        // make sure values aren't just off by a rounding error\n        if(vals[i + 1] > vals[i] + errDiff) {\n            minDiff = Math.min(minDiff, vals[i + 1] - vals[i]);\n            v2.push(vals[i + 1]);\n        }\n    }\n\n    return {vals: v2, minDiff: minDiff};\n};\n\n/**\n * return the smallest element from (sorted) array arrayIn that's bigger than val,\n * or (reverse) the largest element smaller than val\n * used to find the best tick given the minimum (non-rounded) tick\n * particularly useful for date/time where things are not powers of 10\n * binary search is probably overkill here...\n */\nexports.roundUp = function(val, arrayIn, reverse) {\n    var low = 0,\n        high = arrayIn.length - 1,\n        mid,\n        c = 0,\n        dlow = reverse ? 0 : 1,\n        dhigh = reverse ? 1 : 0,\n        rounded = reverse ? Math.ceil : Math.floor;\n    // c is just to avoid infinite loops if there's an error\n    while(low < high && c++ < 100) {\n        mid = rounded((low + high) / 2);\n        if(arrayIn[mid] <= val) low = mid + dlow;\n        else high = mid - dhigh;\n    }\n    return arrayIn[low];\n};\n\n/**\n * Tweak to Array.sort(sortFn) that improves performance for pre-sorted arrays\n *\n * Note that newer browsers (such as Chrome v70+) are starting to pick up\n * on pre-sorted arrays which may render the following optimization unnecessary\n * in the future.\n *\n * Motivation: sometimes we need to sort arrays but the input is likely to\n * already be sorted. Browsers don't seem to pick up on pre-sorted arrays,\n * and in fact Chrome is actually *slower* sorting pre-sorted arrays than purely\n * random arrays. FF is at least faster if the array is pre-sorted, but still\n * not as fast as it could be.\n * Here's how this plays out sorting a length-1e6 array:\n *\n * Calls to Sort FN  |  Chrome bare  |  FF bare  |  Chrome tweak  |  FF tweak\n *                   |  v68.0 Mac    |  v61.0 Mac|                |\n * ------------------+---------------+-----------+----------------+------------\n * ordered           |  30.4e6       |  10.1e6   |  1e6           |  1e6\n * reversed          |  29.4e6       |  9.9e6    |  1e6 + reverse |  1e6 + reverse\n * random            |  ~21e6        |  ~18.7e6  |  ~21e6         |  ~18.7e6\n *\n * So this is a substantial win for pre-sorted (ordered or exactly reversed)\n * arrays. Including this wrapper on an unsorted array adds a penalty that will\n * in general be only a few calls to the sort function. The only case this\n * penalty will be significant is if the array is mostly sorted but there are\n * a few unsorted items near the end, but the penalty is still at most N calls\n * out of (for N=1e6) ~20N total calls\n *\n * @param {Array} array: the array, to be sorted in place\n * @param {function} sortFn: As in Array.sort, function(a, b) that puts\n *     item a before item b if the return is negative, a after b if positive,\n *     and no change if zero.\n * @return {Array}: the original array, sorted in place.\n */\nexports.sort = function(array, sortFn) {\n    var notOrdered = 0;\n    var notReversed = 0;\n    for(var i = 1; i < array.length; i++) {\n        var pairOrder = sortFn(array[i], array[i - 1]);\n        if(pairOrder < 0) notOrdered = 1;\n        else if(pairOrder > 0) notReversed = 1;\n        if(notOrdered && notReversed) return array.sort(sortFn);\n    }\n    return notReversed ? array : array.reverse();\n};\n\n/**\n * find index in array 'arr' that minimizes 'fn'\n *\n * @param {array} arr : array where to search\n * @param {fn (optional)} fn : function to minimize,\n *   if not given, fn is the identity function\n * @return {integer}\n */\nexports.findIndexOfMin = function(arr, fn) {\n    fn = fn || identity;\n\n    var min = Infinity;\n    var ind;\n\n    for(var i = 0; i < arr.length; i++) {\n        var v = fn(arr[i]);\n        if(v < min) {\n            min = v;\n            ind = i;\n        }\n    }\n    return ind;\n};\n\n},{\"./identity\":695,\"./loggers\":701,\"fast-isnumeric\":214}],717:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n// works with our CSS cursor classes (see css/_cursor.scss)\n// to apply cursors to d3 single-element selections.\n// omit cursor to revert to the default.\nmodule.exports = function setCursor(el3, csr) {\n    (el3.attr('class') || '').split(' ').forEach(function(cls) {\n        if(cls.indexOf('cursor-') === 0) el3.classed(cls, false);\n    });\n\n    if(csr) el3.classed('cursor-' + csr, true);\n};\n\n},{}],718:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Color = _dereq_('../components/color');\n\nvar noop = function() {};\n\n\n/**\n * Prints a no webgl error message into the scene container\n * @param {scene instance} scene\n *\n * Expects 'scene' to have property 'container'\n *\n */\nmodule.exports = function showNoWebGlMsg(scene) {\n    for(var prop in scene) {\n        if(typeof scene[prop] === 'function') scene[prop] = noop;\n    }\n\n    scene.destroy = function() {\n        scene.container.parentNode.removeChild(scene.container);\n    };\n\n    var div = document.createElement('div');\n    div.className = 'no-webgl';\n    div.style.cursor = 'pointer';\n    div.style.fontSize = '24px';\n    div.style.color = Color.defaults[0];\n    div.style.position = 'absolute';\n    div.style.left = div.style.top = '0px';\n    div.style.width = div.style.height = '100%';\n    div.style['background-color'] = Color.lightLine;\n    div.style['z-index'] = 30;\n\n    var p = document.createElement('p');\n    p.textContent = 'WebGL is not supported by your browser - visit https://get.webgl.org for more info';\n    p.style.position = 'relative';\n    p.style.top = '50%';\n    p.style.left = '50%';\n    p.style.height = '30%';\n    p.style.width = '50%';\n    p.style.margin = '-15% 0 0 -25%';\n\n    div.appendChild(p);\n    scene.container.appendChild(div);\n    scene.container.style.background = '#FFFFFF';\n    scene.container.onclick = function() {\n        window.open('https://get.webgl.org');\n    };\n\n    // return before setting up camera and onrender methods\n    return false;\n};\n\n},{\"../components/color\":570}],719:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar isArrayOrTypedArray = _dereq_('./is_array').isArrayOrTypedArray;\n\n/**\n * aggNums() returns the result of an aggregate function applied to an array of\n * values, where non-numerical values have been tossed out.\n *\n * @param {function} f - aggregation function (e.g., Math.min)\n * @param {Number} v - initial value (continuing from previous calls)\n *      if there's no continuing value, use null for selector-type\n *      functions (max,min), or 0 for summations\n * @param {Array} a - array to aggregate (may be nested, we will recurse,\n *                    but all elements must have the same dimension)\n * @param {Number} len - maximum length of a to aggregate\n * @return {Number} - result of f applied to a starting from v\n */\nexports.aggNums = function(f, v, a, len) {\n    var i,\n        b;\n    if(!len || len > a.length) len = a.length;\n    if(!isNumeric(v)) v = false;\n    if(isArrayOrTypedArray(a[0])) {\n        b = new Array(len);\n        for(i = 0; i < len; i++) b[i] = exports.aggNums(f, v, a[i]);\n        a = b;\n    }\n\n    for(i = 0; i < len; i++) {\n        if(!isNumeric(v)) v = a[i];\n        else if(isNumeric(a[i])) v = f(+v, +a[i]);\n    }\n    return v;\n};\n\n/**\n * mean & std dev functions using aggNums, so it handles non-numerics nicely\n * even need to use aggNums instead of .length, to toss out non-numerics\n */\nexports.len = function(data) {\n    return exports.aggNums(function(a) { return a + 1; }, 0, data);\n};\n\nexports.mean = function(data, len) {\n    if(!len) len = exports.len(data);\n    return exports.aggNums(function(a, b) { return a + b; }, 0, data) / len;\n};\n\nexports.midRange = function(numArr) {\n    if(numArr === undefined || numArr.length === 0) return undefined;\n    return (exports.aggNums(Math.max, null, numArr) + exports.aggNums(Math.min, null, numArr)) / 2;\n};\n\nexports.variance = function(data, len, mean) {\n    if(!len) len = exports.len(data);\n    if(!isNumeric(mean)) mean = exports.mean(data, len);\n\n    return exports.aggNums(function(a, b) {\n        return a + Math.pow(b - mean, 2);\n    }, 0, data) / len;\n};\n\nexports.stdev = function(data, len, mean) {\n    return Math.sqrt(exports.variance(data, len, mean));\n};\n\n/**\n * interp() computes a percentile (quantile) for a given distribution.\n * We interpolate the distribution (to compute quantiles, we follow method #10 here:\n * http://www.amstat.org/publications/jse/v14n3/langford.html).\n * Typically the index or rank (n * arr.length) may be non-integer.\n * For reference: ends are clipped to the extreme values in the array;\n * For box plots: index you get is half a point too high (see\n * http://en.wikipedia.org/wiki/Percentile#Nearest_rank) but note that this definition\n * indexes from 1 rather than 0, so we subtract 1/2 (instead of add).\n *\n * @param {Array} arr - This array contains the values that make up the distribution.\n * @param {Number} n - Between 0 and 1, n = p/100 is such that we compute the p^th percentile.\n * For example, the 50th percentile (or median) corresponds to n = 0.5\n * @return {Number} - percentile\n */\nexports.interp = function(arr, n) {\n    if(!isNumeric(n)) throw 'n should be a finite number';\n    n = n * arr.length - 0.5;\n    if(n < 0) return arr[0];\n    if(n > arr.length - 1) return arr[arr.length - 1];\n    var frac = n % 1;\n    return frac * arr[Math.ceil(n)] + (1 - frac) * arr[Math.floor(n)];\n};\n\n},{\"./is_array\":697,\"fast-isnumeric\":214}],720:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar rgba = _dereq_('color-normalize');\n\nfunction str2RgbaArray(color) {\n    if(!color) return [0, 0, 0, 1];\n    return rgba(color);\n}\n\nmodule.exports = str2RgbaArray;\n\n},{\"color-normalize\":108}],721:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n/* global MathJax:false */\n\nvar d3 = _dereq_('d3');\n\nvar Lib = _dereq_('../lib');\nvar xmlnsNamespaces = _dereq_('../constants/xmlns_namespaces');\nvar LINE_SPACING = _dereq_('../constants/alignment').LINE_SPACING;\n\n// text converter\n\nfunction getSize(_selection, _dimension) {\n    return _selection.node().getBoundingClientRect()[_dimension];\n}\n\nvar FIND_TEX = /([^$]*)([$]+[^$]*[$]+)([^$]*)/;\n\nexports.convertToTspans = function(_context, gd, _callback) {\n    var str = _context.text();\n\n    // Until we get tex integrated more fully (so it can be used along with non-tex)\n    // allow some elements to prohibit it by attaching 'data-notex' to the original\n    var tex = (!_context.attr('data-notex')) &&\n        (typeof MathJax !== 'undefined') &&\n        str.match(FIND_TEX);\n\n    var parent = d3.select(_context.node().parentNode);\n    if(parent.empty()) return;\n    var svgClass = (_context.attr('class')) ? _context.attr('class').split(' ')[0] : 'text';\n    svgClass += '-math';\n    parent.selectAll('svg.' + svgClass).remove();\n    parent.selectAll('g.' + svgClass + '-group').remove();\n    _context.style('display', null)\n        .attr({\n            // some callers use data-unformatted *from the <text> element* in 'cancel'\n            // so we need it here even if we're going to turn it into math\n            // these two (plus style and text-anchor attributes) form the key we're\n            // going to use for Drawing.bBox\n            'data-unformatted': str,\n            'data-math': 'N'\n        });\n\n    function showText() {\n        if(!parent.empty()) {\n            svgClass = _context.attr('class') + '-math';\n            parent.select('svg.' + svgClass).remove();\n        }\n        _context.text('')\n            .style('white-space', 'pre');\n\n        var hasLink = buildSVGText(_context.node(), str);\n\n        if(hasLink) {\n            // at least in Chrome, pointer-events does not seem\n            // to be honored in children of <text> elements\n            // so if we have an anchor, we have to make the\n            // whole element respond\n            _context.style('pointer-events', 'all');\n        }\n\n        exports.positionText(_context);\n\n        if(_callback) _callback.call(_context);\n    }\n\n    if(tex) {\n        ((gd && gd._promises) || []).push(new Promise(function(resolve) {\n            _context.style('display', 'none');\n            var fontSize = parseInt(_context.node().style.fontSize, 10);\n            var config = {fontSize: fontSize};\n\n            texToSVG(tex[2], config, function(_svgEl, _glyphDefs, _svgBBox) {\n                parent.selectAll('svg.' + svgClass).remove();\n                parent.selectAll('g.' + svgClass + '-group').remove();\n\n                var newSvg = _svgEl && _svgEl.select('svg');\n                if(!newSvg || !newSvg.node()) {\n                    showText();\n                    resolve();\n                    return;\n                }\n\n                var mathjaxGroup = parent.append('g')\n                    .classed(svgClass + '-group', true)\n                    .attr({\n                        'pointer-events': 'none',\n                        'data-unformatted': str,\n                        'data-math': 'Y'\n                    });\n\n                mathjaxGroup.node().appendChild(newSvg.node());\n\n                // stitch the glyph defs\n                if(_glyphDefs && _glyphDefs.node()) {\n                    newSvg.node().insertBefore(_glyphDefs.node().cloneNode(true),\n                                               newSvg.node().firstChild);\n                }\n\n                newSvg.attr({\n                    'class': svgClass,\n                    height: _svgBBox.height,\n                    preserveAspectRatio: 'xMinYMin meet'\n                })\n                .style({overflow: 'visible', 'pointer-events': 'none'});\n\n                var fill = _context.node().style.fill || 'black';\n                newSvg.select('g').attr({fill: fill, stroke: fill});\n\n                var newSvgW = getSize(newSvg, 'width'),\n                    newSvgH = getSize(newSvg, 'height'),\n                    newX = +_context.attr('x') - newSvgW *\n                        {start: 0, middle: 0.5, end: 1}[_context.attr('text-anchor') || 'start'],\n                    // font baseline is about 1/4 fontSize below centerline\n                    textHeight = fontSize || getSize(_context, 'height'),\n                    dy = -textHeight / 4;\n\n                if(svgClass[0] === 'y') {\n                    mathjaxGroup.attr({\n                        transform: 'rotate(' + [-90, +_context.attr('x'), +_context.attr('y')] +\n                        ') translate(' + [-newSvgW / 2, dy - newSvgH / 2] + ')'\n                    });\n                    newSvg.attr({x: +_context.attr('x'), y: +_context.attr('y')});\n                }\n                else if(svgClass[0] === 'l') {\n                    newSvg.attr({x: _context.attr('x'), y: dy - (newSvgH / 2)});\n                }\n                else if(svgClass[0] === 'a') {\n                    newSvg.attr({x: 0, y: dy});\n                }\n                else {\n                    newSvg.attr({x: newX, y: (+_context.attr('y') + dy - newSvgH / 2)});\n                }\n\n                if(_callback) _callback.call(_context, mathjaxGroup);\n                resolve(mathjaxGroup);\n            });\n        }));\n    }\n    else showText();\n\n    return _context;\n};\n\n\n// MathJax\n\nvar LT_MATCH = /(<|&lt;|&#60;)/g;\nvar GT_MATCH = /(>|&gt;|&#62;)/g;\n\nfunction cleanEscapesForTex(s) {\n    return s.replace(LT_MATCH, '\\\\lt ')\n        .replace(GT_MATCH, '\\\\gt ');\n}\n\nfunction texToSVG(_texString, _config, _callback) {\n\n    var originalRenderer,\n        originalConfig,\n        originalProcessSectionDelay,\n        tmpDiv;\n\n    MathJax.Hub.Queue(\n    function() {\n        originalConfig = Lib.extendDeepAll({}, MathJax.Hub.config);\n\n        originalProcessSectionDelay = MathJax.Hub.processSectionDelay;\n        if(MathJax.Hub.processSectionDelay !== undefined) {\n            // MathJax 2.5+\n            MathJax.Hub.processSectionDelay = 0;\n        }\n\n        return MathJax.Hub.Config({\n            messageStyle: 'none',\n            tex2jax: {\n                inlineMath: [['$', '$'], ['\\\\(', '\\\\)']]\n            },\n            displayAlign: 'left',\n        });\n    },\n    function() {\n        // Get original renderer\n        originalRenderer = MathJax.Hub.config.menuSettings.renderer;\n        if(originalRenderer !== 'SVG') {\n            return MathJax.Hub.setRenderer('SVG');\n        }\n    },\n    function() {\n        var randomID = 'math-output-' + Lib.randstr({}, 64);\n        tmpDiv = d3.select('body').append('div')\n            .attr({id: randomID})\n            .style({visibility: 'hidden', position: 'absolute'})\n            .style({'font-size': _config.fontSize + 'px'})\n            .text(cleanEscapesForTex(_texString));\n\n        return MathJax.Hub.Typeset(tmpDiv.node());\n    },\n    function() {\n        var glyphDefs = d3.select('body').select('#MathJax_SVG_glyphs');\n\n        if(tmpDiv.select('.MathJax_SVG').empty() || !tmpDiv.select('svg').node()) {\n            Lib.log('There was an error in the tex syntax.', _texString);\n            _callback();\n        }\n        else {\n            var svgBBox = tmpDiv.select('svg').node().getBoundingClientRect();\n            _callback(tmpDiv.select('.MathJax_SVG'), glyphDefs, svgBBox);\n        }\n\n        tmpDiv.remove();\n\n        if(originalRenderer !== 'SVG') {\n            return MathJax.Hub.setRenderer(originalRenderer);\n        }\n    },\n    function() {\n        if(originalProcessSectionDelay !== undefined) {\n            MathJax.Hub.processSectionDelay = originalProcessSectionDelay;\n        }\n        return MathJax.Hub.Config(originalConfig);\n    });\n}\n\nvar TAG_STYLES = {\n    // would like to use baseline-shift for sub/sup but FF doesn't support it\n    // so we need to use dy along with the uber hacky shift-back-to\n    // baseline below\n    sup: 'font-size:70%',\n    sub: 'font-size:70%',\n    b: 'font-weight:bold',\n    i: 'font-style:italic',\n    a: 'cursor:pointer',\n    span: '',\n    em: 'font-style:italic;font-weight:bold'\n};\n\n// baseline shifts for sub and sup\nvar SHIFT_DY = {\n    sub: '0.3em',\n    sup: '-0.6em'\n};\n// reset baseline by adding a tspan (empty except for a zero-width space)\n// with dy of -70% * SHIFT_DY (because font-size=70%)\nvar RESET_DY = {\n    sub: '-0.21em',\n    sup: '0.42em'\n};\nvar ZERO_WIDTH_SPACE = '\\u200b';\n\n/*\n * Whitelist of protocols in user-supplied urls. Mostly we want to avoid javascript\n * and related attack vectors. The empty items are there for IE, that in various\n * versions treats relative paths as having different flavors of no protocol, while\n * other browsers have these explicitly inherit the protocol of the page they're in.\n */\nvar PROTOCOLS = ['http:', 'https:', 'mailto:', '', undefined, ':'];\n\nvar STRIP_TAGS = new RegExp('</?(' + Object.keys(TAG_STYLES).join('|') + ')( [^>]*)?/?>', 'g');\n\nvar NEWLINES = /(\\r\\n?|\\n)/g;\n\nvar SPLIT_TAGS = /(<[^<>]*>)/;\n\nvar ONE_TAG = /<(\\/?)([^ >]*)(\\s+(.*))?>/i;\n\nvar BR_TAG = /<br(\\s+.*)?>/i;\n\n/*\n * style and href: pull them out of either single or double quotes. Also\n * - target: (_blank|_self|_parent|_top|framename)\n *     note that you can't use target to get a popup but if you use popup,\n *     a `framename` will be passed along as the name of the popup window.\n *     per the spec, cannot contain whitespace.\n *     for backward compatibility we default to '_blank'\n * - popup: a custom one for us to enable popup (new window) links. String\n *     for window.open -> strWindowFeatures, like 'menubar=yes,width=500,height=550'\n *     note that at least in Chrome, you need to give at least one property\n *     in this string or the page will open in a new tab anyway. We follow this\n *     convention and will not make a popup if this string is empty.\n *     per the spec, cannot contain whitespace.\n *\n * Because we hack in other attributes with style (sub & sup), drop any trailing\n * semicolon in user-supplied styles so we can consistently append the tag-dependent style\n *\n * These are for tag attributes; Chrome anyway will convert entities in\n * attribute values, but not in attribute names\n * you can test this by for example:\n * > p = document.createElement('p')\n * > p.innerHTML = '<span styl&#x65;=\"font-color:r&#x65;d;\">Hi</span>'\n * > p.innerHTML\n * <- '<span styl&#x65;=\"font-color:red;\">Hi</span>'\n */\nvar STYLEMATCH = /(^|[\\s\"'])style\\s*=\\s*(\"([^\"]*);?\"|'([^']*);?')/i;\nvar HREFMATCH = /(^|[\\s\"'])href\\s*=\\s*(\"([^\"]*)\"|'([^']*)')/i;\nvar TARGETMATCH = /(^|[\\s\"'])target\\s*=\\s*(\"([^\"\\s]*)\"|'([^'\\s]*)')/i;\nvar POPUPMATCH = /(^|[\\s\"'])popup\\s*=\\s*(\"([\\w=,]*)\"|'([\\w=,]*)')/i;\n\n// dedicated matcher for these quoted regexes, that can return their results\n// in two different places\nfunction getQuotedMatch(_str, re) {\n    if(!_str) return null;\n    var match = _str.match(re);\n    var result = match && (match[3] || match[4]);\n    return result && convertEntities(result);\n}\n\nvar COLORMATCH = /(^|;)\\s*color:/;\n\nexports.plainText = function(_str) {\n    // strip out our pseudo-html so we have a readable\n    // version to put into text fields\n    return (_str || '').replace(STRIP_TAGS, ' ');\n};\n\n/*\n * N.B. HTML entities are listed without the leading '&' and trailing ';'\n * https://www.freeformatter.com/html-entities.html\n *\n * FWIW if we wanted to support the full set, it has 2261 entries:\n * https://www.w3.org/TR/html5/entities.json\n * though I notice that some of these are duplicates and/or are missing \";\"\n * eg: \"&amp;\", \"&amp\", \"&AMP;\", and \"&AMP\" all map to \"&\"\n * We no longer need to include numeric entities here, these are now handled\n * by String.fromCodePoint/fromCharCode\n *\n * Anyway the only ones that are really important to allow are the HTML special\n * chars <, >, and &, because these ones can trigger special processing if not\n * replaced by the corresponding entity.\n */\nvar entityToUnicode = {\n    mu: 'μ',\n    amp: '&',\n    lt: '<',\n    gt: '>',\n    nbsp: ' ',\n    times: '×',\n    plusmn: '±',\n    deg: '°'\n};\n\n// NOTE: in general entities can contain uppercase too (so [a-zA-Z]) but all the\n// ones we support use only lowercase. If we ever change that, update the regex.\nvar ENTITY_MATCH = /&(#\\d+|#x[\\da-fA-F]+|[a-z]+);/g;\nfunction convertEntities(_str) {\n    return _str.replace(ENTITY_MATCH, function(fullMatch, innerMatch) {\n        var outChar;\n        if(innerMatch.charAt(0) === '#') {\n            // cannot use String.fromCodePoint in IE\n            outChar = fromCodePoint(\n                innerMatch.charAt(1) === 'x' ?\n                    parseInt(innerMatch.substr(2), 16) :\n                    parseInt(innerMatch.substr(1), 10)\n            );\n        }\n        else outChar = entityToUnicode[innerMatch];\n\n        // as in regular HTML, if we didn't decode the entity just\n        // leave the raw text in place.\n        return outChar || fullMatch;\n    });\n}\nexports.convertEntities = convertEntities;\n\nfunction fromCodePoint(code) {\n    // Don't allow overflow. In Chrome this turns into � but I feel like it's\n    // more useful to just not convert it at all.\n    if(code > 0x10FFFF) return;\n    var stringFromCodePoint = String.fromCodePoint;\n    if(stringFromCodePoint) return stringFromCodePoint(code);\n\n    // IE doesn't have String.fromCodePoint\n    // see https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/fromCodePoint\n    var stringFromCharCode = String.fromCharCode;\n    if(code <= 0xFFFF) return stringFromCharCode(code);\n    return stringFromCharCode(\n        (code >> 10) + 0xD7C0,\n        (code % 0x400) + 0xDC00\n    );\n}\n\n/*\n * buildSVGText: convert our pseudo-html into SVG tspan elements, and attach these\n * to containerNode\n *\n * @param {svg text element} containerNode: the <text> node to insert this text into\n * @param {string} str: the pseudo-html string to convert to svg\n *\n * @returns {bool}: does the result contain any links? We need to handle the text element\n *   somewhat differently if it does, so just keep track of this when it happens.\n */\nfunction buildSVGText(containerNode, str) {\n    /*\n     * Normalize behavior between IE and others wrt newlines and whitespace:pre\n     * this combination makes IE barf https://github.com/plotly/plotly.js/issues/746\n     * Chrome and FF display \\n, \\r, or \\r\\n as a space in this mode.\n     * I feel like at some point we turned these into <br> but currently we don't so\n     * I'm just going to cement what we do now in Chrome and FF\n     */\n    str = str.replace(NEWLINES, ' ');\n\n    var hasLink = false;\n\n    // as we're building the text, keep track of what elements we're nested inside\n    // nodeStack will be an array of {node, type, style, href, target, popup}\n    // where only type: 'a' gets the last 3 and node is only added when it's created\n    var nodeStack = [];\n    var currentNode;\n    var currentLine = -1;\n\n    function newLine() {\n        currentLine++;\n\n        var lineNode = document.createElementNS(xmlnsNamespaces.svg, 'tspan');\n        d3.select(lineNode).attr({\n            class: 'line',\n            dy: (currentLine * LINE_SPACING) + 'em'\n        });\n        containerNode.appendChild(lineNode);\n\n        currentNode = lineNode;\n\n        var oldNodeStack = nodeStack;\n        nodeStack = [{node: lineNode}];\n\n        if(oldNodeStack.length > 1) {\n            for(var i = 1; i < oldNodeStack.length; i++) {\n                enterNode(oldNodeStack[i]);\n            }\n        }\n    }\n\n    function enterNode(nodeSpec) {\n        var type = nodeSpec.type;\n        var nodeAttrs = {};\n        var nodeType;\n\n        if(type === 'a') {\n            nodeType = 'a';\n            var target = nodeSpec.target;\n            var href = nodeSpec.href;\n            var popup = nodeSpec.popup;\n            if(href) {\n                nodeAttrs = {\n                    'xlink:xlink:show': (target === '_blank' || target.charAt(0) !== '_') ? 'new' : 'replace',\n                    target: target,\n                    'xlink:xlink:href': href\n                };\n                if(popup) {\n                    // security: href and target are not inserted as code but\n                    // as attributes. popup is, but limited to /[A-Za-z0-9_=,]/\n                    nodeAttrs.onclick = 'window.open(this.href.baseVal,this.target.baseVal,\"' +\n                        popup + '\");return false;';\n                }\n            }\n        }\n        else nodeType = 'tspan';\n\n        if(nodeSpec.style) nodeAttrs.style = nodeSpec.style;\n\n        var newNode = document.createElementNS(xmlnsNamespaces.svg, nodeType);\n\n        if(type === 'sup' || type === 'sub') {\n            addTextNode(currentNode, ZERO_WIDTH_SPACE);\n            currentNode.appendChild(newNode);\n\n            var resetter = document.createElementNS(xmlnsNamespaces.svg, 'tspan');\n            addTextNode(resetter, ZERO_WIDTH_SPACE);\n            d3.select(resetter).attr('dy', RESET_DY[type]);\n            nodeAttrs.dy = SHIFT_DY[type];\n\n            currentNode.appendChild(newNode);\n            currentNode.appendChild(resetter);\n        }\n        else {\n            currentNode.appendChild(newNode);\n        }\n\n        d3.select(newNode).attr(nodeAttrs);\n\n        currentNode = nodeSpec.node = newNode;\n        nodeStack.push(nodeSpec);\n    }\n\n    function addTextNode(node, text) {\n        node.appendChild(document.createTextNode(text));\n    }\n\n    function exitNode(type) {\n        // A bare closing tag can't close the root node. If we encounter this it\n        // means there's an extra closing tag that can just be ignored:\n        if(nodeStack.length === 1) {\n            Lib.log('Ignoring unexpected end tag </' + type + '>.', str);\n            return;\n        }\n\n        var innerNode = nodeStack.pop();\n\n        if(type !== innerNode.type) {\n            Lib.log('Start tag <' + innerNode.type + '> doesnt match end tag <' +\n                type + '>. Pretending it did match.', str);\n        }\n        currentNode = nodeStack[nodeStack.length - 1].node;\n    }\n\n    var hasLines = BR_TAG.test(str);\n\n    if(hasLines) newLine();\n    else {\n        currentNode = containerNode;\n        nodeStack = [{node: containerNode}];\n    }\n\n    var parts = str.split(SPLIT_TAGS);\n    for(var i = 0; i < parts.length; i++) {\n        var parti = parts[i];\n        var match = parti.match(ONE_TAG);\n        var tagType = match && match[2].toLowerCase();\n        var tagStyle = TAG_STYLES[tagType];\n\n        if(tagType === 'br') {\n            newLine();\n        }\n        else if(tagStyle === undefined) {\n            addTextNode(currentNode, convertEntities(parti));\n        }\n        else {\n            // tag - open or close\n            if(match[1]) {\n                exitNode(tagType);\n            }\n            else {\n                var extra = match[4];\n\n                var nodeSpec = {type: tagType};\n\n                // now add style, from both the tag name and any extra css\n                // Most of the svg css that users will care about is just like html,\n                // but font color is different (uses fill). Let our users ignore this.\n                var css = getQuotedMatch(extra, STYLEMATCH);\n                if(css) {\n                    css = css.replace(COLORMATCH, '$1 fill:');\n                    if(tagStyle) css += ';' + tagStyle;\n                }\n                else if(tagStyle) css = tagStyle;\n\n                if(css) nodeSpec.style = css;\n\n                if(tagType === 'a') {\n                    hasLink = true;\n\n                    var href = getQuotedMatch(extra, HREFMATCH);\n\n                    if(href) {\n                        // check safe protocols\n                        var dummyAnchor = document.createElement('a');\n                        dummyAnchor.href = href;\n                        if(PROTOCOLS.indexOf(dummyAnchor.protocol) !== -1) {\n                            // Decode href to allow both already encoded and not encoded\n                            // URIs. Without decoding prior encoding, an already encoded\n                            // URI would be encoded twice producing a semantically different URI.\n                            nodeSpec.href = encodeURI(decodeURI(href));\n                            nodeSpec.target = getQuotedMatch(extra, TARGETMATCH) || '_blank';\n                            nodeSpec.popup = getQuotedMatch(extra, POPUPMATCH);\n                        }\n                    }\n                }\n\n                enterNode(nodeSpec);\n            }\n        }\n    }\n\n    return hasLink;\n}\n\nexports.lineCount = function lineCount(s) {\n    return s.selectAll('tspan.line').size() || 1;\n};\n\nexports.positionText = function positionText(s, x, y) {\n    return s.each(function() {\n        var text = d3.select(this);\n\n        function setOrGet(attr, val) {\n            if(val === undefined) {\n                val = text.attr(attr);\n                if(val === null) {\n                    text.attr(attr, 0);\n                    val = 0;\n                }\n            }\n            else text.attr(attr, val);\n            return val;\n        }\n\n        var thisX = setOrGet('x', x);\n        var thisY = setOrGet('y', y);\n\n        if(this.nodeName === 'text') {\n            text.selectAll('tspan.line').attr({x: thisX, y: thisY});\n        }\n    });\n};\n\nfunction alignHTMLWith(_base, container, options) {\n    var alignH = options.horizontalAlign,\n        alignV = options.verticalAlign || 'top',\n        bRect = _base.node().getBoundingClientRect(),\n        cRect = container.node().getBoundingClientRect(),\n        thisRect,\n        getTop,\n        getLeft;\n\n    if(alignV === 'bottom') {\n        getTop = function() { return bRect.bottom - thisRect.height; };\n    } else if(alignV === 'middle') {\n        getTop = function() { return bRect.top + (bRect.height - thisRect.height) / 2; };\n    } else { // default: top\n        getTop = function() { return bRect.top; };\n    }\n\n    if(alignH === 'right') {\n        getLeft = function() { return bRect.right - thisRect.width; };\n    } else if(alignH === 'center') {\n        getLeft = function() { return bRect.left + (bRect.width - thisRect.width) / 2; };\n    } else { // default: left\n        getLeft = function() { return bRect.left; };\n    }\n\n    return function() {\n        thisRect = this.node().getBoundingClientRect();\n        this.style({\n            top: (getTop() - cRect.top) + 'px',\n            left: (getLeft() - cRect.left) + 'px',\n            'z-index': 1000\n        });\n        return this;\n    };\n}\n\n/*\n * Editable title\n * @param {d3.selection} context: the element being edited. Normally text,\n *   but if it isn't, you should provide the styling options\n * @param {object} options:\n *   @param {div} options.gd: graphDiv\n *   @param {d3.selection} options.delegate: item to bind events to if not this\n *   @param {boolean} options.immediate: start editing now (true) or on click (false, default)\n *   @param {string} options.fill: font color if not as shown\n *   @param {string} options.background: background color if not as shown\n *   @param {string} options.text: initial text, if not as shown\n *   @param {string} options.horizontalAlign: alignment of the edit box wrt. the bound element\n *   @param {string} options.verticalAlign: alignment of the edit box wrt. the bound element\n */\n\nexports.makeEditable = function(context, options) {\n    var gd = options.gd;\n    var _delegate = options.delegate;\n    var dispatch = d3.dispatch('edit', 'input', 'cancel');\n    var handlerElement = _delegate || context;\n\n    context.style({'pointer-events': _delegate ? 'none' : 'all'});\n\n    if(context.size() !== 1) throw new Error('boo');\n\n    function handleClick() {\n        appendEditable();\n        context.style({opacity: 0});\n        // also hide any mathjax svg\n        var svgClass = handlerElement.attr('class'),\n            mathjaxClass;\n        if(svgClass) mathjaxClass = '.' + svgClass.split(' ')[0] + '-math-group';\n        else mathjaxClass = '[class*=-math-group]';\n        if(mathjaxClass) {\n            d3.select(context.node().parentNode).select(mathjaxClass).style({opacity: 0});\n        }\n    }\n\n    function selectElementContents(_el) {\n        var el = _el.node();\n        var range = document.createRange();\n        range.selectNodeContents(el);\n        var sel = window.getSelection();\n        sel.removeAllRanges();\n        sel.addRange(range);\n        el.focus();\n    }\n\n    function appendEditable() {\n        var plotDiv = d3.select(gd);\n        var container = plotDiv.select('.svg-container');\n        var div = container.append('div');\n        var cStyle = context.node().style;\n        var fontSize = parseFloat(cStyle.fontSize || 12);\n\n        var initialText = options.text;\n        if(initialText === undefined) initialText = context.attr('data-unformatted');\n\n        div.classed('plugin-editable editable', true)\n            .style({\n                position: 'absolute',\n                'font-family': cStyle.fontFamily || 'Arial',\n                'font-size': fontSize,\n                color: options.fill || cStyle.fill || 'black',\n                opacity: 1,\n                'background-color': options.background || 'transparent',\n                outline: '#ffffff33 1px solid',\n                margin: [-fontSize / 8 + 1, 0, 0, -1].join('px ') + 'px',\n                padding: '0',\n                'box-sizing': 'border-box'\n            })\n            .attr({contenteditable: true})\n            .text(initialText)\n            .call(alignHTMLWith(context, container, options))\n            .on('blur', function() {\n                gd._editing = false;\n                context.text(this.textContent)\n                    .style({opacity: 1});\n                var svgClass = d3.select(this).attr('class'),\n                    mathjaxClass;\n                if(svgClass) mathjaxClass = '.' + svgClass.split(' ')[0] + '-math-group';\n                else mathjaxClass = '[class*=-math-group]';\n                if(mathjaxClass) {\n                    d3.select(context.node().parentNode).select(mathjaxClass).style({opacity: 0});\n                }\n                var text = this.textContent;\n                d3.select(this).transition().duration(0).remove();\n                d3.select(document).on('mouseup', null);\n                dispatch.edit.call(context, text);\n            })\n            .on('focus', function() {\n                var editDiv = this;\n                gd._editing = true;\n                d3.select(document).on('mouseup', function() {\n                    if(d3.event.target === editDiv) return false;\n                    if(document.activeElement === div.node()) div.node().blur();\n                });\n            })\n            .on('keyup', function() {\n                if(d3.event.which === 27) {\n                    gd._editing = false;\n                    context.style({opacity: 1});\n                    d3.select(this)\n                        .style({opacity: 0})\n                        .on('blur', function() { return false; })\n                        .transition().remove();\n                    dispatch.cancel.call(context, this.textContent);\n                }\n                else {\n                    dispatch.input.call(context, this.textContent);\n                    d3.select(this).call(alignHTMLWith(context, container, options));\n                }\n            })\n            .on('keydown', function() {\n                if(d3.event.which === 13) this.blur();\n            })\n            .call(selectElementContents);\n    }\n\n    if(options.immediate) handleClick();\n    else handlerElement.on('click', handleClick);\n\n    return d3.rebind(context, dispatch, 'on');\n};\n\n},{\"../constants/alignment\":668,\"../constants/xmlns_namespaces\":674,\"../lib\":696,\"d3\":148}],722:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar timerCache = {};\n\n/**\n * Throttle a callback. `callback` executes synchronously only if\n * more than `minInterval` milliseconds have already elapsed since the latest\n * call (if any). Otherwise we wait until `minInterval` is over and execute the\n * last callback received while waiting.\n * So the first and last events in a train are always executed (eventually)\n * but some of the events in the middle can be dropped.\n *\n * @param {string} id: an identifier to mark events to throttle together\n * @param {number} minInterval: minimum time, in milliseconds, between\n *   invocations of `callback`\n * @param {function} callback: the function to throttle. `callback` itself\n *   should be a purely synchronous function.\n */\nexports.throttle = function throttle(id, minInterval, callback) {\n    var cache = timerCache[id];\n    var now = Date.now();\n\n    if(!cache) {\n        /*\n         * Throw out old items before making a new one, to prevent the cache\n         * getting overgrown, for example from old plots that have been replaced.\n         * 1 minute age is arbitrary.\n         */\n        for(var idi in timerCache) {\n            if(timerCache[idi].ts < now - 60000) {\n                delete timerCache[idi];\n            }\n        }\n        cache = timerCache[id] = {ts: 0, timer: null};\n    }\n\n    _clearTimeout(cache);\n\n    function exec() {\n        callback();\n        cache.ts = Date.now();\n        if(cache.onDone) {\n            cache.onDone();\n            cache.onDone = null;\n        }\n    }\n\n    if(now > cache.ts + minInterval) {\n        exec();\n        return;\n    }\n\n    cache.timer = setTimeout(function() {\n        exec();\n        cache.timer = null;\n    }, minInterval);\n};\n\nexports.done = function(id) {\n    var cache = timerCache[id];\n    if(!cache || !cache.timer) return Promise.resolve();\n\n    return new Promise(function(resolve) {\n        var previousOnDone = cache.onDone;\n        cache.onDone = function onDone() {\n            if(previousOnDone) previousOnDone();\n            resolve();\n            cache.onDone = null;\n        };\n    });\n};\n\n/**\n * Clear the throttle cache for one or all timers\n * @param {optional string} id:\n *   if provided, clear just this timer\n *   if omitted, clear all timers (mainly useful for testing)\n */\nexports.clear = function(id) {\n    if(id) {\n        _clearTimeout(timerCache[id]);\n        delete timerCache[id];\n    }\n    else {\n        for(var idi in timerCache) exports.clear(idi);\n    }\n};\n\nfunction _clearTimeout(cache) {\n    if(cache && cache.timer !== null) {\n        clearTimeout(cache.timer);\n        cache.timer = null;\n    }\n}\n\n},{}],723:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\n/**\n * convert a linear value into a logged value, folding negative numbers into\n * the given range\n */\nmodule.exports = function toLogRange(val, range) {\n    if(val > 0) return Math.log(val) / Math.LN10;\n\n    // move a negative value reference to a log axis - just put the\n    // result at the lowest range value on the plot (or if the range also went negative,\n    // one millionth of the top of the range)\n    var newVal = Math.log(Math.min(range[0], range[1])) / Math.LN10;\n    if(!isNumeric(newVal)) newVal = Math.log(Math.max(range[0], range[1])) / Math.LN10 - 6;\n    return newVal;\n};\n\n},{\"fast-isnumeric\":214}],724:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar topojsonUtils = module.exports = {};\n\nvar locationmodeToLayer = _dereq_('../plots/geo/constants').locationmodeToLayer;\nvar topojsonFeature = _dereq_('topojson-client').feature;\n\n\ntopojsonUtils.getTopojsonName = function(geoLayout) {\n    return [\n        geoLayout.scope.replace(/ /g, '-'), '_',\n        geoLayout.resolution.toString(), 'm'\n    ].join('');\n};\n\ntopojsonUtils.getTopojsonPath = function(topojsonURL, topojsonName) {\n    return topojsonURL + topojsonName + '.json';\n};\n\ntopojsonUtils.getTopojsonFeatures = function(trace, topojson) {\n    var layer = locationmodeToLayer[trace.locationmode],\n        obj = topojson.objects[layer];\n\n    return topojsonFeature(topojson, obj).features;\n};\n\n},{\"../plots/geo/constants\":774,\"topojson-client\":517}],725:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    moduleType: 'locale',\n    name: 'en-US',\n    dictionary: {\n        'Click to enter Colorscale title': 'Click to enter Colorscale title'\n    },\n    format: {\n        date: '%m/%d/%Y'\n    }\n};\n\n},{}],726:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    moduleType: 'locale',\n    name: 'en',\n    dictionary: {\n        'Click to enter Colorscale title': 'Click to enter Colourscale title'\n    },\n    format: {\n        days: ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'],\n        shortDays: ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],\n        months: [\n            'January', 'February', 'March', 'April', 'May', 'June',\n            'July', 'August', 'September', 'October', 'November', 'December'\n        ],\n        shortMonths: [\n            'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',\n            'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'\n        ],\n        periods: ['AM', 'PM'],\n        dateTime: '%a %b %e %X %Y',\n        date: '%d/%m/%Y',\n        time: '%H:%M:%S',\n        decimal: '.',\n        thousands: ',',\n        grouping: [3],\n        currency: ['$', ''],\n        year: '%Y',\n        month: '%b %Y',\n        dayMonth: '%b %-d',\n        dayMonthYear: '%b %-d, %Y'\n    }\n};\n\n},{}],727:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../registry');\n\n/*\n * containerArrayMatch: does this attribute string point into a\n * layout container array?\n *\n * @param {String} astr: an attribute string, like *annotations[2].text*\n *\n * @returns {Object | false} Returns false if `astr` doesn't match a container\n *  array. If it does, returns:\n *     {array: {String}, index: {Number}, property: {String}}\n *  ie the attribute string for the array, the index within the array (or ''\n *  if the whole array) and the property within that (or '' if the whole array\n *  or the whole object)\n */\nmodule.exports = function containerArrayMatch(astr) {\n    var rootContainers = Registry.layoutArrayContainers,\n        regexpContainers = Registry.layoutArrayRegexes,\n        rootPart = astr.split('[')[0],\n        arrayStr,\n        match;\n\n    // look for regexp matches first, because they may be nested inside root matches\n    // eg updatemenus[i].buttons is nested inside updatemenus\n    for(var i = 0; i < regexpContainers.length; i++) {\n        match = astr.match(regexpContainers[i]);\n        if(match && match.index === 0) {\n            arrayStr = match[0];\n            break;\n        }\n    }\n\n    // now look for root matches\n    if(!arrayStr) arrayStr = rootContainers[rootContainers.indexOf(rootPart)];\n\n    if(!arrayStr) return false;\n\n    var tail = astr.substr(arrayStr.length);\n    if(!tail) return {array: arrayStr, index: '', property: ''};\n\n    match = tail.match(/^\\[(0|[1-9][0-9]*)\\](\\.(.+))?$/);\n    if(!match) return false;\n\n    return {array: arrayStr, index: Number(match[1]), property: match[3] || ''};\n};\n\n},{\"../registry\":828}],728:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar extendFlat = Lib.extendFlat;\nvar isPlainObject = Lib.isPlainObject;\n\nvar traceOpts = {\n    valType: 'flaglist',\n    extras: ['none'],\n    flags: ['calc', 'clearAxisTypes', 'plot', 'style', 'markerSize', 'colorbars'],\n    \n};\n\nvar layoutOpts = {\n    valType: 'flaglist',\n    extras: ['none'],\n    flags: [\n        'calc', 'plot', 'legend', 'ticks', 'axrange',\n        'layoutstyle', 'modebar', 'camera', 'arraydraw'\n    ],\n    \n};\n\n// flags for inside restyle/relayout include a few extras\n// that shouldn't be used in attributes, to deal with certain\n// combinations and conditionals efficiently\nvar traceEditTypeFlags = traceOpts.flags.slice()\n    .concat(['fullReplot']);\n\nvar layoutEditTypeFlags = layoutOpts.flags.slice()\n    .concat('layoutReplot');\n\nmodule.exports = {\n    traces: traceOpts,\n    layout: layoutOpts,\n    /*\n     * default (all false) edit flags for restyle (traces)\n     * creates a new object each call, so the caller can mutate freely\n     */\n    traceFlags: function() { return falseObj(traceEditTypeFlags); },\n\n    /*\n     * default (all false) edit flags for relayout\n     * creates a new object each call, so the caller can mutate freely\n     */\n    layoutFlags: function() { return falseObj(layoutEditTypeFlags); },\n\n    /*\n     * update `flags` with the `editType` values found in `attr`\n     */\n    update: function(flags, attr) {\n        var editType = attr.editType;\n        if(editType && editType !== 'none') {\n            var editTypeParts = editType.split('+');\n            for(var i = 0; i < editTypeParts.length; i++) {\n                flags[editTypeParts[i]] = true;\n            }\n        }\n    },\n\n    overrideAll: overrideAll\n};\n\nfunction falseObj(keys) {\n    var out = {};\n    for(var i = 0; i < keys.length; i++) out[keys[i]] = false;\n    return out;\n}\n\n/**\n * For attributes that are largely copied from elsewhere into a plot type that doesn't\n * support partial redraws - overrides the editType field of all attributes in the object\n *\n * @param {object} attrs: the attributes to override. Will not be mutated.\n * @param {string} editTypeOverride: the new editType to use\n * @param {'nested'|'from-root'} overrideContainers:\n *   - 'nested' will override editType for nested containers but not the root.\n *   - 'from-root' will also override editType of the root container.\n *   Containers below the absolute top level (trace or layout root) DO need an\n *   editType even if they are not `valObject`s themselves (eg `scatter.marker`)\n *   to handle the case where you edit the whole container.\n *\n * @return {object} a new attributes object with `editType` modified as directed\n */\nfunction overrideAll(attrs, editTypeOverride, overrideContainers) {\n    var out = extendFlat({}, attrs);\n    for(var key in out) {\n        var attr = out[key];\n        if(isPlainObject(attr)) {\n            out[key] = overrideOne(attr, editTypeOverride, overrideContainers, key);\n        }\n    }\n    if(overrideContainers === 'from-root') out.editType = editTypeOverride;\n\n    return out;\n}\n\nfunction overrideOne(attr, editTypeOverride, overrideContainers, key) {\n    if(attr.valType) {\n        var out = extendFlat({}, attr);\n        out.editType = editTypeOverride;\n\n        if(Array.isArray(attr.items)) {\n            out.items = new Array(attr.items.length);\n            for(var i = 0; i < attr.items.length; i++) {\n                out.items[i] = overrideOne(attr.items[i], editTypeOverride, 'from-root');\n            }\n        }\n        return out;\n    }\n    else {\n        // don't provide an editType for the _deprecated container\n        return overrideAll(attr, editTypeOverride,\n            (key.charAt(0) === '_') ? 'nested' : 'from-root');\n    }\n}\n\n},{\"../lib\":696}],729:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar m4FromQuat = _dereq_('gl-mat4/fromQuat');\n\nvar Registry = _dereq_('../registry');\nvar Lib = _dereq_('../lib');\nvar Plots = _dereq_('../plots/plots');\nvar AxisIds = _dereq_('../plots/cartesian/axis_ids');\nvar cleanId = AxisIds.cleanId;\nvar getFromTrace = AxisIds.getFromTrace;\nvar Color = _dereq_('../components/color');\n\n\n// clear the promise queue if one of them got rejected\nexports.clearPromiseQueue = function(gd) {\n    if(Array.isArray(gd._promises) && gd._promises.length > 0) {\n        Lib.log('Clearing previous rejected promises from queue.');\n    }\n\n    gd._promises = [];\n};\n\n// make a few changes to the layout right away\n// before it gets used for anything\n// backward compatibility and cleanup of nonstandard options\nexports.cleanLayout = function(layout) {\n    var i, j;\n\n    if(!layout) layout = {};\n\n    // cannot have (x|y)axis1, numbering goes axis, axis2, axis3...\n    if(layout.xaxis1) {\n        if(!layout.xaxis) layout.xaxis = layout.xaxis1;\n        delete layout.xaxis1;\n    }\n    if(layout.yaxis1) {\n        if(!layout.yaxis) layout.yaxis = layout.yaxis1;\n        delete layout.yaxis1;\n    }\n    if(layout.scene1) {\n        if(!layout.scene) layout.scene = layout.scene1;\n        delete layout.scene1;\n    }\n\n    var axisAttrRegex = (Plots.subplotsRegistry.cartesian || {}).attrRegex;\n    var sceneAttrRegex = (Plots.subplotsRegistry.gl3d || {}).attrRegex;\n\n    var keys = Object.keys(layout);\n    for(i = 0; i < keys.length; i++) {\n        var key = keys[i];\n\n        // modifications to cartesian axes\n        if(axisAttrRegex && axisAttrRegex.test(key)) {\n            var ax = layout[key];\n            if(ax.anchor && ax.anchor !== 'free') {\n                ax.anchor = cleanId(ax.anchor);\n            }\n            if(ax.overlaying) ax.overlaying = cleanId(ax.overlaying);\n\n            // old method of axis type - isdate and islog (before category existed)\n            if(!ax.type) {\n                if(ax.isdate) ax.type = 'date';\n                else if(ax.islog) ax.type = 'log';\n                else if(ax.isdate === false && ax.islog === false) ax.type = 'linear';\n            }\n            if(ax.autorange === 'withzero' || ax.autorange === 'tozero') {\n                ax.autorange = true;\n                ax.rangemode = 'tozero';\n            }\n            delete ax.islog;\n            delete ax.isdate;\n            delete ax.categories; // replaced by _categories\n\n            // prune empty domain arrays made before the new nestedProperty\n            if(emptyContainer(ax, 'domain')) delete ax.domain;\n\n            // autotick -> tickmode\n            if(ax.autotick !== undefined) {\n                if(ax.tickmode === undefined) {\n                    ax.tickmode = ax.autotick ? 'auto' : 'linear';\n                }\n                delete ax.autotick;\n            }\n        }\n\n        // modifications for 3D scenes\n        else if(sceneAttrRegex && sceneAttrRegex.test(key)) {\n            var scene = layout[key];\n\n            // clean old Camera coords\n            var cameraposition = scene.cameraposition;\n\n            if(Array.isArray(cameraposition) && cameraposition[0].length === 4) {\n                var rotation = cameraposition[0],\n                    center = cameraposition[1],\n                    radius = cameraposition[2],\n                    mat = m4FromQuat([], rotation),\n                    eye = [];\n\n                for(j = 0; j < 3; ++j) {\n                    eye[j] = center[j] + radius * mat[2 + 4 * j];\n                }\n\n                scene.camera = {\n                    eye: {x: eye[0], y: eye[1], z: eye[2]},\n                    center: {x: center[0], y: center[1], z: center[2]},\n                    up: {x: mat[1], y: mat[5], z: mat[9]}\n                };\n\n                delete scene.cameraposition;\n            }\n        }\n    }\n\n    var annotationsLen = Array.isArray(layout.annotations) ? layout.annotations.length : 0;\n    for(i = 0; i < annotationsLen; i++) {\n        var ann = layout.annotations[i];\n\n        if(!Lib.isPlainObject(ann)) continue;\n\n        if(ann.ref) {\n            if(ann.ref === 'paper') {\n                ann.xref = 'paper';\n                ann.yref = 'paper';\n            }\n            else if(ann.ref === 'data') {\n                ann.xref = 'x';\n                ann.yref = 'y';\n            }\n            delete ann.ref;\n        }\n\n        cleanAxRef(ann, 'xref');\n        cleanAxRef(ann, 'yref');\n    }\n\n    var shapesLen = Array.isArray(layout.shapes) ? layout.shapes.length : 0;\n    for(i = 0; i < shapesLen; i++) {\n        var shape = layout.shapes[i];\n\n        if(!Lib.isPlainObject(shape)) continue;\n\n        cleanAxRef(shape, 'xref');\n        cleanAxRef(shape, 'yref');\n    }\n\n    var legend = layout.legend;\n    if(legend) {\n        // check for old-style legend positioning (x or y is +/- 100)\n        if(legend.x > 3) {\n            legend.x = 1.02;\n            legend.xanchor = 'left';\n        }\n        else if(legend.x < -2) {\n            legend.x = -0.02;\n            legend.xanchor = 'right';\n        }\n\n        if(legend.y > 3) {\n            legend.y = 1.02;\n            legend.yanchor = 'bottom';\n        }\n        else if(legend.y < -2) {\n            legend.y = -0.02;\n            legend.yanchor = 'top';\n        }\n    }\n\n    /*\n     * Moved from rotate -> orbit for dragmode\n     */\n    if(layout.dragmode === 'rotate') layout.dragmode = 'orbit';\n\n    // sanitize rgb(fractions) and rgba(fractions) that old tinycolor\n    // supported, but new tinycolor does not because they're not valid css\n    Color.clean(layout);\n\n    return layout;\n};\n\nfunction cleanAxRef(container, attr) {\n    var valIn = container[attr],\n        axLetter = attr.charAt(0);\n    if(valIn && valIn !== 'paper') {\n        container[attr] = cleanId(valIn, axLetter);\n    }\n}\n\n/*\n * cleanData: Make a few changes to the data for backward compatibility\n * before it gets used for anything. Modifies the data traces users provide.\n *\n * Important: if you're going to add something here that modifies a data array,\n * update it in place so the new array === the old one.\n */\nexports.cleanData = function(data) {\n    for(var tracei = 0; tracei < data.length; tracei++) {\n        var trace = data[tracei];\n        var i;\n\n        // use xbins to bin data in x, and ybins to bin data in y\n        if(trace.type === 'histogramy' && 'xbins' in trace && !('ybins' in trace)) {\n            trace.ybins = trace.xbins;\n            delete trace.xbins;\n        }\n\n        // error_y.opacity is obsolete - merge into color\n        if(trace.error_y && 'opacity' in trace.error_y) {\n            var dc = Color.defaults,\n                yeColor = trace.error_y.color ||\n                (Registry.traceIs(trace, 'bar') ? Color.defaultLine : dc[tracei % dc.length]);\n            trace.error_y.color = Color.addOpacity(\n                Color.rgb(yeColor),\n                Color.opacity(yeColor) * trace.error_y.opacity);\n            delete trace.error_y.opacity;\n        }\n\n        // convert bardir to orientation, and put the data into\n        // the axes it's eventually going to be used with\n        if('bardir' in trace) {\n            if(trace.bardir === 'h' && (Registry.traceIs(trace, 'bar') ||\n                     trace.type.substr(0, 9) === 'histogram')) {\n                trace.orientation = 'h';\n                exports.swapXYData(trace);\n            }\n            delete trace.bardir;\n        }\n\n        // now we have only one 1D histogram type, and whether\n        // it uses x or y data depends on trace.orientation\n        if(trace.type === 'histogramy') exports.swapXYData(trace);\n        if(trace.type === 'histogramx' || trace.type === 'histogramy') {\n            trace.type = 'histogram';\n        }\n\n        // scl->scale, reversescl->reversescale\n        if('scl' in trace) {\n            trace.colorscale = trace.scl;\n            delete trace.scl;\n        }\n        if('reversescl' in trace) {\n            trace.reversescale = trace.reversescl;\n            delete trace.reversescl;\n        }\n\n        // axis ids x1 -> x, y1-> y\n        if(trace.xaxis) trace.xaxis = cleanId(trace.xaxis, 'x');\n        if(trace.yaxis) trace.yaxis = cleanId(trace.yaxis, 'y');\n\n        // scene ids scene1 -> scene\n        if(Registry.traceIs(trace, 'gl3d') && trace.scene) {\n            trace.scene = Plots.subplotsRegistry.gl3d.cleanId(trace.scene);\n        }\n\n        if(!Registry.traceIs(trace, 'pie') && !Registry.traceIs(trace, 'bar')) {\n            if(Array.isArray(trace.textposition)) {\n                for(i = 0; i < trace.textposition.length; i++) {\n                    trace.textposition[i] = cleanTextPosition(trace.textposition[i]);\n                }\n            }\n            else if(trace.textposition) {\n                trace.textposition = cleanTextPosition(trace.textposition);\n            }\n        }\n\n        // fix typo in colorscale definition\n        var _module = Registry.getModule(trace);\n        if(_module && _module.colorbar) {\n            var containerName = _module.colorbar.container;\n            var container = containerName ? trace[containerName] : trace;\n            if(container && container.colorscale) {\n                if(container.colorscale === 'YIGnBu') container.colorscale = 'YlGnBu';\n                if(container.colorscale === 'YIOrRd') container.colorscale = 'YlOrRd';\n            }\n        }\n\n        // fix typo in surface 'highlight*' definitions\n        if(trace.type === 'surface' && Lib.isPlainObject(trace.contours)) {\n            var dims = ['x', 'y', 'z'];\n\n            for(i = 0; i < dims.length; i++) {\n                var opts = trace.contours[dims[i]];\n\n                if(!Lib.isPlainObject(opts)) continue;\n\n                if(opts.highlightColor) {\n                    opts.highlightcolor = opts.highlightColor;\n                    delete opts.highlightColor;\n                }\n\n                if(opts.highlightWidth) {\n                    opts.highlightwidth = opts.highlightWidth;\n                    delete opts.highlightWidth;\n                }\n            }\n        }\n\n        // fixes from converting finance from transforms to real trace types\n        if(trace.type === 'candlestick' || trace.type === 'ohlc') {\n            var increasingShowlegend = (trace.increasing || {}).showlegend !== false;\n            var decreasingShowlegend = (trace.decreasing || {}).showlegend !== false;\n            var increasingName = cleanFinanceDir(trace.increasing);\n            var decreasingName = cleanFinanceDir(trace.decreasing);\n\n            // now figure out something smart to do with the separate direction\n            // names we removed\n            if((increasingName !== false) && (decreasingName !== false)) {\n                // both sub-names existed: base name previously had no effect\n                // so ignore it and try to find a shared part of the sub-names\n\n                var newName = commonPrefix(\n                    increasingName, decreasingName,\n                    increasingShowlegend, decreasingShowlegend\n                );\n                // if no common part, leave whatever name was (or wasn't) there\n                if(newName) trace.name = newName;\n            }\n            else if((increasingName || decreasingName) && !trace.name) {\n                // one sub-name existed but not the base name - just use the sub-name\n                trace.name = increasingName || decreasingName;\n            }\n        }\n\n        // transforms backward compatibility fixes\n        if(Array.isArray(trace.transforms)) {\n            var transforms = trace.transforms;\n\n            for(i = 0; i < transforms.length; i++) {\n                var transform = transforms[i];\n\n                if(!Lib.isPlainObject(transform)) continue;\n\n                switch(transform.type) {\n                    case 'filter':\n                        if(transform.filtersrc) {\n                            transform.target = transform.filtersrc;\n                            delete transform.filtersrc;\n                        }\n\n                        if(transform.calendar) {\n                            if(!transform.valuecalendar) {\n                                transform.valuecalendar = transform.calendar;\n                            }\n                            delete transform.calendar;\n                        }\n                        break;\n\n                    case 'groupby':\n                        // Name has changed from `style` to `styles`, so use `style` but prefer `styles`:\n                        transform.styles = transform.styles || transform.style;\n\n                        if(transform.styles && !Array.isArray(transform.styles)) {\n                            var prevStyles = transform.styles;\n                            var styleKeys = Object.keys(prevStyles);\n\n                            transform.styles = [];\n                            for(var j = 0; j < styleKeys.length; j++) {\n                                transform.styles.push({\n                                    target: styleKeys[j],\n                                    value: prevStyles[styleKeys[j]]\n                                });\n                            }\n                        }\n                        break;\n                }\n            }\n        }\n\n        // prune empty containers made before the new nestedProperty\n        if(emptyContainer(trace, 'line')) delete trace.line;\n        if('marker' in trace) {\n            if(emptyContainer(trace.marker, 'line')) delete trace.marker.line;\n            if(emptyContainer(trace, 'marker')) delete trace.marker;\n        }\n\n        // sanitize rgb(fractions) and rgba(fractions) that old tinycolor\n        // supported, but new tinycolor does not because they're not valid css\n        Color.clean(trace);\n\n        // remove obsolete autobin(x|y) attributes, but only if true\n        // if false, this needs to happen in Histogram.calc because it\n        // can be a one-time autobin so we need to know the results before\n        // we can push them back into the trace.\n        if(trace.autobinx) {\n            delete trace.autobinx;\n            delete trace.xbins;\n        }\n        if(trace.autobiny) {\n            delete trace.autobiny;\n            delete trace.ybins;\n        }\n    }\n};\n\nfunction cleanFinanceDir(dirContainer) {\n    if(!Lib.isPlainObject(dirContainer)) return false;\n\n    var dirName = dirContainer.name;\n\n    delete dirContainer.name;\n    delete dirContainer.showlegend;\n\n    return (typeof dirName === 'string' || typeof dirName === 'number') && String(dirName);\n}\n\nfunction commonPrefix(name1, name2, show1, show2) {\n    // if only one is shown in the legend, use that\n    if(show1 && !show2) return name1;\n    if(show2 && !show1) return name2;\n\n    // if both or neither are in the legend, check if one is blank (or whitespace)\n    // and use the other one\n    // note that hover labels can still use the name even if the legend doesn't\n    if(!name1.trim()) return name2;\n    if(!name2.trim()) return name1;\n\n    var minLen = Math.min(name1.length, name2.length);\n    var i;\n    for(i = 0; i < minLen; i++) {\n        if(name1.charAt(i) !== name2.charAt(i)) break;\n    }\n\n    var out = name1.substr(0, i);\n    return out.trim();\n}\n\n// textposition - support partial attributes (ie just 'top')\n// and incorrect use of middle / center etc.\nfunction cleanTextPosition(textposition) {\n    var posY = 'middle',\n        posX = 'center';\n    if(textposition.indexOf('top') !== -1) posY = 'top';\n    else if(textposition.indexOf('bottom') !== -1) posY = 'bottom';\n\n    if(textposition.indexOf('left') !== -1) posX = 'left';\n    else if(textposition.indexOf('right') !== -1) posX = 'right';\n\n    return posY + ' ' + posX;\n}\n\nfunction emptyContainer(outer, innerStr) {\n    return (innerStr in outer) &&\n        (typeof outer[innerStr] === 'object') &&\n        (Object.keys(outer[innerStr]).length === 0);\n}\n\n\n// swap all the data and data attributes associated with x and y\nexports.swapXYData = function(trace) {\n    var i;\n    Lib.swapAttrs(trace, ['?', '?0', 'd?', '?bins', 'nbins?', 'autobin?', '?src', 'error_?']);\n    if(Array.isArray(trace.z) && Array.isArray(trace.z[0])) {\n        if(trace.transpose) delete trace.transpose;\n        else trace.transpose = true;\n    }\n    if(trace.error_x && trace.error_y) {\n        var errorY = trace.error_y,\n            copyYstyle = ('copy_ystyle' in errorY) ? errorY.copy_ystyle :\n                !(errorY.color || errorY.thickness || errorY.width);\n        Lib.swapAttrs(trace, ['error_?.copy_ystyle']);\n        if(copyYstyle) {\n            Lib.swapAttrs(trace, ['error_?.color', 'error_?.thickness', 'error_?.width']);\n        }\n    }\n    if(typeof trace.hoverinfo === 'string') {\n        var hoverInfoParts = trace.hoverinfo.split('+');\n        for(i = 0; i < hoverInfoParts.length; i++) {\n            if(hoverInfoParts[i] === 'x') hoverInfoParts[i] = 'y';\n            else if(hoverInfoParts[i] === 'y') hoverInfoParts[i] = 'x';\n        }\n        trace.hoverinfo = hoverInfoParts.join('+');\n    }\n};\n\n// coerce traceIndices input to array of trace indices\nexports.coerceTraceIndices = function(gd, traceIndices) {\n    if(isNumeric(traceIndices)) {\n        return [traceIndices];\n    }\n    else if(!Array.isArray(traceIndices) || !traceIndices.length) {\n        return gd.data.map(function(_, i) { return i; });\n    }\n    else if(Array.isArray(traceIndices)) {\n        var traceIndicesOut = [];\n        for(var i = 0; i < traceIndices.length; i++) {\n            if(Lib.isIndex(traceIndices[i], gd.data.length)) {\n                traceIndicesOut.push(traceIndices[i]);\n            } else {\n                Lib.warn('trace index (', traceIndices[i], ') is not a number or is out of bounds');\n            }\n        }\n        return traceIndicesOut;\n    }\n\n    return traceIndices;\n};\n\n/**\n * Manages logic around array container item creation / deletion / update\n * that nested property alone can't handle.\n *\n * @param {Object} np\n *  nested property of update attribute string about trace or layout object\n * @param {*} newVal\n *  update value passed to restyle / relayout / update\n * @param {Object} undoit\n *  undo hash (N.B. undoit may be mutated here).\n *\n */\nexports.manageArrayContainers = function(np, newVal, undoit) {\n    var obj = np.obj,\n        parts = np.parts,\n        pLength = parts.length,\n        pLast = parts[pLength - 1];\n\n    var pLastIsNumber = isNumeric(pLast);\n\n    // delete item\n    if(pLastIsNumber && newVal === null) {\n\n        // Clear item in array container when new value is null\n        var contPath = parts.slice(0, pLength - 1).join('.'),\n            cont = Lib.nestedProperty(obj, contPath).get();\n        cont.splice(pLast, 1);\n\n        // Note that nested property clears null / undefined at end of\n        // array container, but not within them.\n    }\n    // create item\n    else if(pLastIsNumber && np.get() === undefined) {\n\n        // When adding a new item, make sure undo command will remove it\n        if(np.get() === undefined) undoit[np.astr] = null;\n\n        np.set(newVal);\n    }\n    // update item\n    else {\n\n        // If the last part of attribute string isn't a number,\n        // np.set is all we need.\n        np.set(newVal);\n    }\n};\n\n/*\n * Match the part to strip off to turn an attribute into its parent\n * really it should be either '.some_characters' or '[number]'\n * but we're a little more permissive here and match either\n * '.not_brackets_or_dot' or '[not_brackets_or_dot]'\n */\nvar ATTR_TAIL_RE = /(\\.[^\\[\\]\\.]+|\\[[^\\[\\]\\.]+\\])$/;\n\nfunction getParent(attr) {\n    var tail = attr.search(ATTR_TAIL_RE);\n    if(tail > 0) return attr.substr(0, tail);\n}\n\n/*\n * hasParent: does an attribute object contain a parent of the given attribute?\n * for example, given 'images[2].x' do we also have 'images' or 'images[2]'?\n *\n * @param {Object} aobj\n *  update object, whose keys are attribute strings and values are their new settings\n * @param {string} attr\n *  the attribute string to test against\n * @returns {Boolean}\n *  is a parent of attr present in aobj?\n */\nexports.hasParent = function(aobj, attr) {\n    var attrParent = getParent(attr);\n    while(attrParent) {\n        if(attrParent in aobj) return true;\n        attrParent = getParent(attrParent);\n    }\n    return false;\n};\n\n/**\n * Empty out types for all axes containing these traces so we auto-set them again\n *\n * @param {object} gd\n * @param {[integer]} traces: trace indices to search for axes to clear the types of\n * @param {object} layoutUpdate: any update being done concurrently to the layout,\n *   which may supercede clearing the axis types\n */\nvar axLetters = ['x', 'y', 'z'];\nexports.clearAxisTypes = function(gd, traces, layoutUpdate) {\n    for(var i = 0; i < traces.length; i++) {\n        var trace = gd._fullData[i];\n        for(var j = 0; j < 3; j++) {\n            var ax = getFromTrace(gd, trace, axLetters[j]);\n\n            // do not clear log type - that's never an auto result so must have been intentional\n            if(ax && ax.type !== 'log') {\n                var axAttr = ax._name;\n                var sceneName = ax._id.substr(1);\n                if(sceneName.substr(0, 5) === 'scene') {\n                    if(layoutUpdate[sceneName] !== undefined) continue;\n                    axAttr = sceneName + '.' + axAttr;\n                }\n                var typeAttr = axAttr + '.type';\n\n                if(layoutUpdate[axAttr] === undefined && layoutUpdate[typeAttr] === undefined) {\n                    Lib.nestedProperty(gd.layout, typeAttr).set(null);\n                }\n            }\n        }\n    }\n};\n\n},{\"../components/color\":570,\"../lib\":696,\"../plots/cartesian/axis_ids\":748,\"../plots/plots\":809,\"../registry\":828,\"fast-isnumeric\":214,\"gl-mat4/fromQuat\":251}],730:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar main = _dereq_('./plot_api');\n\nexports.plot = main.plot;\nexports.newPlot = main.newPlot;\nexports.restyle = main.restyle;\nexports.relayout = main.relayout;\nexports.redraw = main.redraw;\nexports.update = main.update;\nexports.react = main.react;\nexports.extendTraces = main.extendTraces;\nexports.prependTraces = main.prependTraces;\nexports.addTraces = main.addTraces;\nexports.deleteTraces = main.deleteTraces;\nexports.moveTraces = main.moveTraces;\nexports.purge = main.purge;\nexports.addFrames = main.addFrames;\nexports.deleteFrames = main.deleteFrames;\nexports.animate = main.animate;\nexports.setPlotConfig = main.setPlotConfig;\n\nexports.toImage = _dereq_('./to_image');\nexports.validate = _dereq_('./validate');\nexports.downloadImage = _dereq_('../snapshot/download');\n\nvar templateApi = _dereq_('./template_api');\nexports.makeTemplate = templateApi.makeTemplate;\nexports.validateTemplate = templateApi.validateTemplate;\n\n},{\"../snapshot/download\":830,\"./plot_api\":732,\"./template_api\":737,\"./to_image\":738,\"./validate\":739}],731:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar nestedProperty = _dereq_('../lib/nested_property');\nvar isPlainObject = _dereq_('../lib/is_plain_object');\nvar noop = _dereq_('../lib/noop');\nvar Loggers = _dereq_('../lib/loggers');\nvar sorterAsc = _dereq_('../lib/search').sorterAsc;\nvar Registry = _dereq_('../registry');\n\n\nexports.containerArrayMatch = _dereq_('./container_array_match');\n\nvar isAddVal = exports.isAddVal = function isAddVal(val) {\n    return val === 'add' || isPlainObject(val);\n};\n\nvar isRemoveVal = exports.isRemoveVal = function isRemoveVal(val) {\n    return val === null || val === 'remove';\n};\n\n/*\n * applyContainerArrayChanges: for managing arrays of layout components in relayout\n * handles them all with a consistent interface.\n *\n * Here are the supported actions -> relayout calls -> edits we get here\n * (as prepared in _relayout):\n *\n * add an empty obj -> {'annotations[2]': 'add'} -> {2: {'': 'add'}}\n * add a specific obj -> {'annotations[2]': {attrs}} -> {2: {'': {attrs}}}\n * delete an obj -> {'annotations[2]': 'remove'} -> {2: {'': 'remove'}}\n *               -> {'annotations[2]': null} -> {2: {'': null}}\n * delete the whole array -> {'annotations': 'remove'} -> {'': {'': 'remove'}}\n *                        -> {'annotations': null} -> {'': {'': null}}\n * edit an object -> {'annotations[2].text': 'boo'} -> {2: {'text': 'boo'}}\n *\n * You can combine many edits to different objects. Objects are added and edited\n * in ascending order, then removed in descending order.\n * For example, starting with [a, b, c], if you want to:\n * - replace b with d:\n *   {'annotations[1]': d, 'annotations[2]': null} (b is item 2 after adding d)\n * - add a new item d between a and b, and edit b:\n *    {'annotations[1]': d, 'annotations[2].x': newX} (b is item 2 after adding d)\n * - delete b and edit c:\n *    {'annotations[1]': null, 'annotations[2].x': newX} (c is edited before b is removed)\n *\n * You CANNOT combine adding/deleting an item at index `i` with edits to the same index `i`\n * You CANNOT combine replacing/deleting the whole array with anything else (for the same array).\n *\n * @param {HTMLDivElement} gd\n *  the DOM element of the graph container div\n * @param {Lib.nestedProperty} componentType: the array we are editing\n * @param {Object} edits\n *  the changes to make; keys are indices to edit, values are themselves objects:\n *  {attr: newValue} of changes to make to that index (with add/remove behavior\n *  in special values of the empty attr)\n * @param {Object} flags\n *  the flags for which actions we're going to perform to display these (and\n *  any other) changes. If we're already `recalc`ing, we don't need to redraw\n *  individual items\n *\n * @returns {bool} `true` if it managed to complete drawing of the changes\n *  `false` would mean the parent should replot.\n */\nexports.applyContainerArrayChanges = function applyContainerArrayChanges(gd, np, edits, flags) {\n    var componentType = np.astr,\n        supplyComponentDefaults = Registry.getComponentMethod(componentType, 'supplyLayoutDefaults'),\n        draw = Registry.getComponentMethod(componentType, 'draw'),\n        drawOne = Registry.getComponentMethod(componentType, 'drawOne'),\n        replotLater = flags.replot || flags.recalc || (supplyComponentDefaults === noop) ||\n            (draw === noop),\n        layout = gd.layout,\n        fullLayout = gd._fullLayout;\n\n    if(edits['']) {\n        if(Object.keys(edits).length > 1) {\n            Loggers.warn('Full array edits are incompatible with other edits',\n                componentType);\n        }\n\n        var fullVal = edits[''][''];\n\n        if(isRemoveVal(fullVal)) np.set(null);\n        else if(Array.isArray(fullVal)) np.set(fullVal);\n        else {\n            Loggers.warn('Unrecognized full array edit value', componentType, fullVal);\n            return true;\n        }\n\n        if(replotLater) return false;\n\n        supplyComponentDefaults(layout, fullLayout);\n        draw(gd);\n        return true;\n    }\n\n    var componentNums = Object.keys(edits).map(Number).sort(sorterAsc),\n        componentArrayIn = np.get(),\n        componentArray = componentArrayIn || [],\n        // componentArrayFull is used just to keep splices in line between\n        // full and input arrays, so private keys can be copied over after\n        // redoing supplyDefaults\n        // TODO: this assumes componentArray is in gd.layout - which will not be\n        // true after we extend this to restyle\n        componentArrayFull = nestedProperty(fullLayout, componentType).get();\n\n    var deletes = [],\n        firstIndexChange = -1,\n        maxIndex = componentArray.length,\n        i,\n        j,\n        componentNum,\n        objEdits,\n        objKeys,\n        objVal,\n        adding;\n\n    // first make the add and edit changes\n    for(i = 0; i < componentNums.length; i++) {\n        componentNum = componentNums[i];\n        objEdits = edits[componentNum];\n        objKeys = Object.keys(objEdits);\n        objVal = objEdits[''],\n        adding = isAddVal(objVal);\n\n        if(componentNum < 0 || componentNum > componentArray.length - (adding ? 0 : 1)) {\n            Loggers.warn('index out of range', componentType, componentNum);\n            continue;\n        }\n\n        if(objVal !== undefined) {\n            if(objKeys.length > 1) {\n                Loggers.warn(\n                    'Insertion & removal are incompatible with edits to the same index.',\n                    componentType, componentNum);\n            }\n\n            if(isRemoveVal(objVal)) {\n                deletes.push(componentNum);\n            }\n            else if(adding) {\n                if(objVal === 'add') objVal = {};\n                componentArray.splice(componentNum, 0, objVal);\n                if(componentArrayFull) componentArrayFull.splice(componentNum, 0, {});\n            }\n            else {\n                Loggers.warn('Unrecognized full object edit value',\n                    componentType, componentNum, objVal);\n            }\n\n            if(firstIndexChange === -1) firstIndexChange = componentNum;\n        }\n        else {\n            for(j = 0; j < objKeys.length; j++) {\n                nestedProperty(componentArray[componentNum], objKeys[j]).set(objEdits[objKeys[j]]);\n            }\n        }\n    }\n\n    // now do deletes\n    for(i = deletes.length - 1; i >= 0; i--) {\n        componentArray.splice(deletes[i], 1);\n        // TODO: this drops private keys that had been stored in componentArrayFull\n        // does this have any ill effects?\n        if(componentArrayFull) componentArrayFull.splice(deletes[i], 1);\n    }\n\n    if(!componentArray.length) np.set(null);\n    else if(!componentArrayIn) np.set(componentArray);\n\n    if(replotLater) return false;\n\n    supplyComponentDefaults(layout, fullLayout);\n\n    // finally draw all the components we need to\n    // if we added or removed any, redraw all after it\n    if(drawOne !== noop) {\n        var indicesToDraw;\n        if(firstIndexChange === -1) {\n            // there's no re-indexing to do, so only redraw components that changed\n            indicesToDraw = componentNums;\n        }\n        else {\n            // in case the component array was shortened, we still need do call\n            // drawOne on the latter items so they get properly removed\n            maxIndex = Math.max(componentArray.length, maxIndex);\n            indicesToDraw = [];\n            for(i = 0; i < componentNums.length; i++) {\n                componentNum = componentNums[i];\n                if(componentNum >= firstIndexChange) break;\n                indicesToDraw.push(componentNum);\n            }\n            for(i = firstIndexChange; i < maxIndex; i++) {\n                indicesToDraw.push(i);\n            }\n        }\n        for(i = 0; i < indicesToDraw.length; i++) {\n            drawOne(gd, indicesToDraw[i]);\n        }\n    }\n    else draw(gd);\n\n    return true;\n};\n\n},{\"../lib/is_plain_object\":698,\"../lib/loggers\":701,\"../lib/nested_property\":705,\"../lib/noop\":706,\"../lib/search\":716,\"../registry\":828,\"./container_array_match\":727}],732:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\nvar hasHover = _dereq_('has-hover');\n\nvar Lib = _dereq_('../lib');\nvar Events = _dereq_('../lib/events');\nvar Queue = _dereq_('../lib/queue');\n\nvar Registry = _dereq_('../registry');\nvar PlotSchema = _dereq_('./plot_schema');\nvar Plots = _dereq_('../plots/plots');\nvar Polar = _dereq_('../plots/polar/legacy');\n\nvar Axes = _dereq_('../plots/cartesian/axes');\nvar Drawing = _dereq_('../components/drawing');\nvar Color = _dereq_('../components/color');\nvar connectColorbar = _dereq_('../components/colorbar/connect');\nvar initInteractions = _dereq_('../plots/cartesian/graph_interact').initInteractions;\nvar xmlnsNamespaces = _dereq_('../constants/xmlns_namespaces');\nvar svgTextUtils = _dereq_('../lib/svg_text_utils');\n\nvar defaultConfig = _dereq_('./plot_config');\nvar manageArrays = _dereq_('./manage_arrays');\nvar helpers = _dereq_('./helpers');\nvar subroutines = _dereq_('./subroutines');\nvar editTypes = _dereq_('./edit_types');\n\nvar AX_NAME_PATTERN = _dereq_('../plots/cartesian/constants').AX_NAME_PATTERN;\n\nvar numericNameWarningCount = 0;\nvar numericNameWarningCountLimit = 5;\n\n/**\n * Main plot-creation function\n *\n * @param {string id or DOM element} gd\n *      the id or DOM element of the graph container div\n * @param {array of objects} data\n *      array of traces, containing the data and display information for each trace\n * @param {object} layout\n *      object describing the overall display of the plot,\n *      all the stuff that doesn't pertain to any individual trace\n * @param {object} config\n *      configuration options (see ./plot_config.js for more info)\n *\n * OR\n *\n * @param {string id or DOM element} gd\n *      the id or DOM element of the graph container div\n * @param {object} figure\n *      object containing `data`, `layout`, `config`, and `frames` members\n *\n */\nexports.plot = function(gd, data, layout, config) {\n    var frames;\n\n    gd = Lib.getGraphDiv(gd);\n\n    // Events.init is idempotent and bails early if gd has already been init'd\n    Events.init(gd);\n\n    if(Lib.isPlainObject(data)) {\n        var obj = data;\n        data = obj.data;\n        layout = obj.layout;\n        config = obj.config;\n        frames = obj.frames;\n    }\n\n    var okToPlot = Events.triggerHandler(gd, 'plotly_beforeplot', [data, layout, config]);\n    if(okToPlot === false) return Promise.reject();\n\n    // if there's no data or layout, and this isn't yet a plotly plot\n    // container, log a warning to help plotly.js users debug\n    if(!data && !layout && !Lib.isPlotDiv(gd)) {\n        Lib.warn('Calling Plotly.plot as if redrawing ' +\n            'but this container doesn\\'t yet have a plot.', gd);\n    }\n\n    function addFrames() {\n        if(frames) {\n            return exports.addFrames(gd, frames);\n        }\n    }\n\n    // transfer configuration options to gd until we move over to\n    // a more OO like model\n    setPlotContext(gd, config);\n\n    if(!layout) layout = {};\n\n    // hook class for plots main container (in case of plotly.js\n    // this won't be #embedded-graph or .js-tab-contents)\n    d3.select(gd).classed('js-plotly-plot', true);\n\n    // off-screen getBoundingClientRect testing space,\n    // in #js-plotly-tester (and stored as Drawing.tester)\n    // so we can share cached text across tabs\n    Drawing.makeTester();\n\n    // clear stashed base url\n    delete Drawing.baseUrl;\n\n    // collect promises for any async actions during plotting\n    // any part of the plotting code can push to gd._promises, then\n    // before we move to the next step, we check that they're all\n    // complete, and empty out the promise list again.\n    if(!Array.isArray(gd._promises)) gd._promises = [];\n\n    var graphWasEmpty = ((gd.data || []).length === 0 && Array.isArray(data));\n\n    // if there is already data on the graph, append the new data\n    // if you only want to redraw, pass a non-array for data\n    if(Array.isArray(data)) {\n        helpers.cleanData(data);\n\n        if(graphWasEmpty) gd.data = data;\n        else gd.data.push.apply(gd.data, data);\n\n        // for routines outside graph_obj that want a clean tab\n        // (rather than appending to an existing one) gd.empty\n        // is used to determine whether to make a new tab\n        gd.empty = false;\n    }\n\n    if(!gd.layout || graphWasEmpty) gd.layout = helpers.cleanLayout(layout);\n\n    // if the user is trying to drag the axes, allow new data and layout\n    // to come in but don't allow a replot.\n    if(gd._dragging && !gd._transitioning) {\n        // signal to drag handler that after everything else is done\n        // we need to replot, because something has changed\n        gd._replotPending = true;\n        return Promise.reject();\n    } else {\n        // we're going ahead with a replot now\n        gd._replotPending = false;\n    }\n\n    Plots.supplyDefaults(gd);\n\n    var fullLayout = gd._fullLayout;\n    var hasCartesian = fullLayout._has('cartesian');\n\n    // Legacy polar plots\n    if(!fullLayout._has('polar') && data && data[0] && data[0].r) {\n        Lib.log('Legacy polar charts are deprecated!');\n        return plotPolar(gd, data, layout);\n    }\n\n    // so we don't try to re-call Plotly.plot from inside\n    // legend and colorbar, if margins changed\n    fullLayout._replotting = true;\n\n    // make or remake the framework if we need to\n    if(graphWasEmpty) makePlotFramework(gd);\n\n    // polar need a different framework\n    if(gd.framework !== makePlotFramework) {\n        gd.framework = makePlotFramework;\n        makePlotFramework(gd);\n    }\n\n    // clear gradient defs on each .plot call, because we know we'll loop through all traces\n    Drawing.initGradients(gd);\n\n    // save initial show spikes once per graph\n    if(graphWasEmpty) Axes.saveShowSpikeInitial(gd);\n\n    // prepare the data and find the autorange\n\n    // generate calcdata, if we need to\n    // to force redoing calcdata, just delete it before calling Plotly.plot\n    var recalc = !gd.calcdata || gd.calcdata.length !== (gd._fullData || []).length;\n    if(recalc) Plots.doCalcdata(gd);\n\n    // in case it has changed, attach fullData traces to calcdata\n    for(var i = 0; i < gd.calcdata.length; i++) {\n        gd.calcdata[i][0].trace = gd._fullData[i];\n    }\n\n    // make the figure responsive\n    if(gd._context.responsive) {\n        if(!gd._responsiveChartHandler) {\n            // Keep a reference to the resize handler to purge it down the road\n            gd._responsiveChartHandler = function() {Plots.resize(gd);};\n\n            // Listen to window resize\n            window.addEventListener('resize', gd._responsiveChartHandler);\n        }\n    } else {\n        Lib.clearResponsive(gd);\n    }\n\n    /*\n     * start async-friendly code - now we're actually drawing things\n     */\n\n    var oldmargins = JSON.stringify(fullLayout._size);\n\n    // draw framework first so that margin-pushing\n    // components can position themselves correctly\n    var drawFrameworkCalls = 0;\n    function drawFramework() {\n        var basePlotModules = fullLayout._basePlotModules;\n\n        for(var i = 0; i < basePlotModules.length; i++) {\n            if(basePlotModules[i].drawFramework) {\n                basePlotModules[i].drawFramework(gd);\n            }\n        }\n\n        if(!fullLayout._glcanvas && fullLayout._has('gl')) {\n            fullLayout._glcanvas = fullLayout._glcontainer.selectAll('.gl-canvas').data([{\n                key: 'contextLayer',\n                context: true,\n                pick: false\n            }, {\n                key: 'focusLayer',\n                context: false,\n                pick: false\n            }, {\n                key: 'pickLayer',\n                context: false,\n                pick: true\n            }], function(d) { return d.key; });\n\n            fullLayout._glcanvas.enter().append('canvas')\n                .attr('class', function(d) {\n                    return 'gl-canvas gl-canvas-' + d.key.replace('Layer', '');\n                })\n                .style({\n                    'position': 'absolute',\n                    'top': 0,\n                    'left': 0,\n                    'width': '100%',\n                    'height': '100%',\n                    'overflow': 'visible',\n                    'pointer-events': 'none'\n                });\n        }\n\n        if(fullLayout._glcanvas) {\n            fullLayout._glcanvas\n                .attr('width', fullLayout.width)\n                .attr('height', fullLayout.height);\n\n            var regl = fullLayout._glcanvas.data()[0].regl;\n            if(regl) {\n                // Unfortunately, this can happen when relayouting to large\n                // width/height on some browsers.\n                if(Math.floor(fullLayout.width) !== regl._gl.drawingBufferWidth ||\n                    Math.floor(fullLayout.height) !== regl._gl.drawingBufferHeight\n                 ) {\n                    var msg = 'WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.';\n                    if(drawFrameworkCalls) {\n                        Lib.error(msg);\n                    } else {\n                        Lib.log(msg + ' Clearing graph and plotting again.');\n                        Plots.cleanPlot([], {}, gd._fullData, fullLayout);\n                        Plots.supplyDefaults(gd);\n                        fullLayout = gd._fullLayout;\n                        Plots.doCalcdata(gd);\n                        drawFrameworkCalls++;\n                        return drawFramework();\n                    }\n                }\n            }\n        }\n\n        return Plots.previousPromises(gd);\n    }\n\n    // draw anything that can affect margins.\n    function marginPushers() {\n        var calcdata = gd.calcdata;\n        var i, cd, trace;\n\n        // First reset the list of things that are allowed to change the margins\n        // So any deleted traces or components will be wiped out of the\n        // automargin calculation.\n        // This means *every* margin pusher must be listed here, even if it\n        // doesn't actually try to push the margins until later.\n        Plots.clearAutoMarginIds(gd);\n\n        subroutines.drawMarginPushers(gd);\n        Axes.allowAutoMargin(gd);\n\n        for(i = 0; i < calcdata.length; i++) {\n            cd = calcdata[i];\n            trace = cd[0].trace;\n            var colorbarOpts = trace._module.colorbar;\n            if(trace.visible !== true || !colorbarOpts) {\n                Plots.autoMargin(gd, 'cb' + trace.uid);\n            }\n            else connectColorbar(gd, cd, colorbarOpts);\n        }\n\n        Plots.doAutoMargin(gd);\n        return Plots.previousPromises(gd);\n    }\n\n    // in case the margins changed, draw margin pushers again\n    function marginPushersAgain() {\n        if(JSON.stringify(fullLayout._size) === oldmargins) return;\n\n        return Lib.syncOrAsync([\n            marginPushers,\n            subroutines.layoutStyles\n        ], gd);\n    }\n\n    function positionAndAutorange() {\n        if(!recalc) {\n            doAutoRangeAndConstraints();\n            return;\n        }\n\n        // TODO: autosize extra for text markers and images\n        // see https://github.com/plotly/plotly.js/issues/1111\n        return Lib.syncOrAsync([\n            Registry.getComponentMethod('shapes', 'calcAutorange'),\n            Registry.getComponentMethod('annotations', 'calcAutorange'),\n            doAutoRangeAndConstraints,\n            Registry.getComponentMethod('rangeslider', 'calcAutorange')\n        ], gd);\n    }\n\n    function doAutoRangeAndConstraints() {\n        if(gd._transitioning) return;\n\n        subroutines.doAutoRangeAndConstraints(gd);\n\n        // store initial ranges *after* enforcing constraints, otherwise\n        // we will never look like we're at the initial ranges\n        if(graphWasEmpty) Axes.saveRangeInitial(gd);\n    }\n\n    // draw ticks, titles, and calculate axis scaling (._b, ._m)\n    function drawAxes() {\n        return Axes.doTicks(gd, graphWasEmpty ? '' : 'redraw');\n    }\n\n    var seq = [\n        Plots.previousPromises,\n        addFrames,\n        drawFramework,\n        marginPushers,\n        marginPushersAgain\n    ];\n\n    if(hasCartesian) seq.push(positionAndAutorange);\n\n    seq.push(subroutines.layoutStyles);\n    if(hasCartesian) seq.push(drawAxes);\n\n    seq.push(\n        subroutines.drawData,\n        subroutines.finalDraw,\n        initInteractions,\n        Plots.addLinks,\n        Plots.rehover,\n        // TODO: doAutoMargin is only needed here for axis automargin, which\n        // happens outside of marginPushers where all the other automargins are\n        // calculated. Would be much better to separate margin calculations from\n        // component drawing - see https://github.com/plotly/plotly.js/issues/2704\n        Plots.doAutoMargin,\n        Plots.previousPromises\n    );\n\n    // even if everything we did was synchronous, return a promise\n    // so that the caller doesn't care which route we took\n    var plotDone = Lib.syncOrAsync(seq, gd);\n    if(!plotDone || !plotDone.then) plotDone = Promise.resolve();\n\n    return plotDone.then(function() {\n        emitAfterPlot(gd);\n        return gd;\n    });\n};\n\nfunction emitAfterPlot(gd) {\n    var fullLayout = gd._fullLayout;\n\n    if(fullLayout._redrawFromAutoMarginCount) {\n        fullLayout._redrawFromAutoMarginCount--;\n    } else {\n        gd.emit('plotly_afterplot');\n    }\n}\n\nexports.setPlotConfig = function setPlotConfig(obj) {\n    return Lib.extendFlat(defaultConfig, obj);\n};\n\nfunction setBackground(gd, bgColor) {\n    try {\n        gd._fullLayout._paper.style('background', bgColor);\n    } catch(e) {\n        Lib.error(e);\n    }\n}\n\nfunction opaqueSetBackground(gd, bgColor) {\n    var blend = Color.combine(bgColor, 'white');\n    setBackground(gd, blend);\n}\n\nfunction setPlotContext(gd, config) {\n    if(!gd._context) gd._context = Lib.extendDeep({}, defaultConfig);\n    var context = gd._context;\n\n    var i, keys, key;\n\n    if(config) {\n        keys = Object.keys(config);\n        for(i = 0; i < keys.length; i++) {\n            key = keys[i];\n            if(key === 'editable' || key === 'edits') continue;\n            if(key in context) {\n                if(key === 'setBackground' && config[key] === 'opaque') {\n                    context[key] = opaqueSetBackground;\n                } else {\n                    context[key] = config[key];\n                }\n            }\n        }\n\n        // map plot3dPixelRatio to plotGlPixelRatio for backward compatibility\n        if(config.plot3dPixelRatio && !context.plotGlPixelRatio) {\n            context.plotGlPixelRatio = context.plot3dPixelRatio;\n        }\n\n        // now deal with editable and edits - first editable overrides\n        // everything, then edits refines\n        var editable = config.editable;\n        if(editable !== undefined) {\n            // we're not going to *use* context.editable, we're only going to\n            // use context.edits... but keep it for the record\n            context.editable = editable;\n\n            keys = Object.keys(context.edits);\n            for(i = 0; i < keys.length; i++) {\n                context.edits[keys[i]] = editable;\n            }\n        }\n        if(config.edits) {\n            keys = Object.keys(config.edits);\n            for(i = 0; i < keys.length; i++) {\n                key = keys[i];\n                if(key in context.edits) {\n                    context.edits[key] = config.edits[key];\n                }\n            }\n        }\n    }\n\n    // staticPlot forces a bunch of others:\n    if(context.staticPlot) {\n        context.editable = false;\n        context.edits = {};\n        context.autosizable = false;\n        context.scrollZoom = false;\n        context.doubleClick = false;\n        context.showTips = false;\n        context.showLink = false;\n        context.displayModeBar = false;\n    }\n\n    // make sure hover-only devices have mode bar visible\n    if(context.displayModeBar === 'hover' && !hasHover) {\n        context.displayModeBar = true;\n    }\n\n    // default and fallback for setBackground\n    if(context.setBackground === 'transparent' || typeof context.setBackground !== 'function') {\n        context.setBackground = setBackground;\n    }\n\n    // Check if gd has a specified widht/height to begin with\n    context._hasZeroHeight = context._hasZeroHeight || gd.clientHeight === 0;\n    context._hasZeroWidth = context._hasZeroWidth || gd.clientWidth === 0;\n}\n\nfunction plotPolar(gd, data, layout) {\n    // build or reuse the container skeleton\n    var plotContainer = d3.select(gd).selectAll('.plot-container')\n        .data([0]);\n    plotContainer.enter()\n        .insert('div', ':first-child')\n        .classed('plot-container plotly', true);\n    var paperDiv = plotContainer.selectAll('.svg-container')\n        .data([0]);\n    paperDiv.enter().append('div')\n        .classed('svg-container', true)\n        .style('position', 'relative');\n\n    // empty it everytime for now\n    paperDiv.html('');\n\n    // fulfill gd requirements\n    if(data) gd.data = data;\n    if(layout) gd.layout = layout;\n    Polar.manager.fillLayout(gd);\n\n    // resize canvas\n    paperDiv.style({\n        width: gd._fullLayout.width + 'px',\n        height: gd._fullLayout.height + 'px'\n    });\n\n    // instantiate framework\n    gd.framework = Polar.manager.framework(gd);\n\n    // plot\n    gd.framework({data: gd.data, layout: gd.layout}, paperDiv.node());\n\n    // set undo point\n    gd.framework.setUndoPoint();\n\n    // get the resulting svg for extending it\n    var polarPlotSVG = gd.framework.svg();\n\n    // editable title\n    var opacity = 1;\n    var txt = gd._fullLayout.title;\n    if(txt === '' || !txt) opacity = 0;\n\n    var titleLayout = function() {\n        this.call(svgTextUtils.convertToTspans, gd);\n        // TODO: html/mathjax\n        // TODO: center title\n    };\n\n    var title = polarPlotSVG.select('.title-group text')\n        .call(titleLayout);\n\n    if(gd._context.edits.titleText) {\n        var placeholderText = Lib._(gd, 'Click to enter Plot title');\n        if(!txt || txt === placeholderText) {\n            opacity = 0.2;\n            // placeholder is not going through convertToTspans\n            // so needs explicit data-unformatted\n            title.attr({'data-unformatted': placeholderText})\n                .text(placeholderText)\n                .style({opacity: opacity})\n                .on('mouseover.opacity', function() {\n                    d3.select(this).transition().duration(100)\n                        .style('opacity', 1);\n                })\n                .on('mouseout.opacity', function() {\n                    d3.select(this).transition().duration(1000)\n                        .style('opacity', 0);\n                });\n        }\n\n        var setContenteditable = function() {\n            this.call(svgTextUtils.makeEditable, {gd: gd})\n                .on('edit', function(text) {\n                    gd.framework({layout: {title: text}});\n                    this.text(text)\n                        .call(titleLayout);\n                    this.call(setContenteditable);\n                })\n                .on('cancel', function() {\n                    var txt = this.attr('data-unformatted');\n                    this.text(txt).call(titleLayout);\n                });\n        };\n        title.call(setContenteditable);\n    }\n\n    gd._context.setBackground(gd, gd._fullLayout.paper_bgcolor);\n    Plots.addLinks(gd);\n\n    return Promise.resolve();\n}\n\n// convenience function to force a full redraw, mostly for use by plotly.js\nexports.redraw = function(gd) {\n    gd = Lib.getGraphDiv(gd);\n\n    if(!Lib.isPlotDiv(gd)) {\n        throw new Error('This element is not a Plotly plot: ' + gd);\n    }\n\n    helpers.cleanData(gd.data);\n    helpers.cleanLayout(gd.layout);\n\n    gd.calcdata = undefined;\n    return exports.plot(gd).then(function() {\n        gd.emit('plotly_redraw');\n        return gd;\n    });\n};\n\n/**\n * Convenience function to make idempotent plot option obvious to users.\n *\n * @param gd\n * @param {Object[]} data\n * @param {Object} layout\n * @param {Object} config\n */\nexports.newPlot = function(gd, data, layout, config) {\n    gd = Lib.getGraphDiv(gd);\n\n    // remove gl contexts\n    Plots.cleanPlot([], {}, gd._fullData || [], gd._fullLayout || {});\n\n    Plots.purge(gd);\n    return exports.plot(gd, data, layout, config);\n};\n\n/**\n * Wrap negative indicies to their positive counterparts.\n *\n * @param {Number[]} indices An array of indices\n * @param {Number} maxIndex The maximum index allowable (arr.length - 1)\n */\nfunction positivifyIndices(indices, maxIndex) {\n    var parentLength = maxIndex + 1,\n        positiveIndices = [],\n        i,\n        index;\n\n    for(i = 0; i < indices.length; i++) {\n        index = indices[i];\n        if(index < 0) {\n            positiveIndices.push(parentLength + index);\n        } else {\n            positiveIndices.push(index);\n        }\n    }\n    return positiveIndices;\n}\n\n/**\n * Ensures that an index array for manipulating gd.data is valid.\n *\n * Intended for use with addTraces, deleteTraces, and moveTraces.\n *\n * @param gd\n * @param indices\n * @param arrayName\n */\nfunction assertIndexArray(gd, indices, arrayName) {\n    var i,\n        index;\n\n    for(i = 0; i < indices.length; i++) {\n        index = indices[i];\n\n        // validate that indices are indeed integers\n        if(index !== parseInt(index, 10)) {\n            throw new Error('all values in ' + arrayName + ' must be integers');\n        }\n\n        // check that all indices are in bounds for given gd.data array length\n        if(index >= gd.data.length || index < -gd.data.length) {\n            throw new Error(arrayName + ' must be valid indices for gd.data.');\n        }\n\n        // check that indices aren't repeated\n        if(indices.indexOf(index, i + 1) > -1 ||\n                index >= 0 && indices.indexOf(-gd.data.length + index) > -1 ||\n                index < 0 && indices.indexOf(gd.data.length + index) > -1) {\n            throw new Error('each index in ' + arrayName + ' must be unique.');\n        }\n    }\n}\n\n/**\n * Private function used by Plotly.moveTraces to check input args\n *\n * @param gd\n * @param currentIndices\n * @param newIndices\n */\nfunction checkMoveTracesArgs(gd, currentIndices, newIndices) {\n\n    // check that gd has attribute 'data' and 'data' is array\n    if(!Array.isArray(gd.data)) {\n        throw new Error('gd.data must be an array.');\n    }\n\n    // validate currentIndices array\n    if(typeof currentIndices === 'undefined') {\n        throw new Error('currentIndices is a required argument.');\n    } else if(!Array.isArray(currentIndices)) {\n        currentIndices = [currentIndices];\n    }\n    assertIndexArray(gd, currentIndices, 'currentIndices');\n\n    // validate newIndices array if it exists\n    if(typeof newIndices !== 'undefined' && !Array.isArray(newIndices)) {\n        newIndices = [newIndices];\n    }\n    if(typeof newIndices !== 'undefined') {\n        assertIndexArray(gd, newIndices, 'newIndices');\n    }\n\n    // check currentIndices and newIndices are the same length if newIdices exists\n    if(typeof newIndices !== 'undefined' && currentIndices.length !== newIndices.length) {\n        throw new Error('current and new indices must be of equal length.');\n    }\n\n}\n/**\n * A private function to reduce the type checking clutter in addTraces.\n *\n * @param gd\n * @param traces\n * @param newIndices\n */\nfunction checkAddTracesArgs(gd, traces, newIndices) {\n    var i, value;\n\n    // check that gd has attribute 'data' and 'data' is array\n    if(!Array.isArray(gd.data)) {\n        throw new Error('gd.data must be an array.');\n    }\n\n    // make sure traces exists\n    if(typeof traces === 'undefined') {\n        throw new Error('traces must be defined.');\n    }\n\n    // make sure traces is an array\n    if(!Array.isArray(traces)) {\n        traces = [traces];\n    }\n\n    // make sure each value in traces is an object\n    for(i = 0; i < traces.length; i++) {\n        value = traces[i];\n        if(typeof value !== 'object' || (Array.isArray(value) || value === null)) {\n            throw new Error('all values in traces array must be non-array objects');\n        }\n    }\n\n    // make sure we have an index for each trace\n    if(typeof newIndices !== 'undefined' && !Array.isArray(newIndices)) {\n        newIndices = [newIndices];\n    }\n    if(typeof newIndices !== 'undefined' && newIndices.length !== traces.length) {\n        throw new Error(\n            'if indices is specified, traces.length must equal indices.length'\n        );\n    }\n}\n\n/**\n * A private function to reduce the type checking clutter in spliceTraces.\n * Get all update Properties from gd.data. Validate inputs and outputs.\n * Used by prependTrace and extendTraces\n *\n * @param gd\n * @param update\n * @param indices\n * @param maxPoints\n */\nfunction assertExtendTracesArgs(gd, update, indices, maxPoints) {\n\n    var maxPointsIsObject = Lib.isPlainObject(maxPoints);\n\n    if(!Array.isArray(gd.data)) {\n        throw new Error('gd.data must be an array');\n    }\n    if(!Lib.isPlainObject(update)) {\n        throw new Error('update must be a key:value object');\n    }\n\n    if(typeof indices === 'undefined') {\n        throw new Error('indices must be an integer or array of integers');\n    }\n\n    assertIndexArray(gd, indices, 'indices');\n\n    for(var key in update) {\n\n        /*\n         * Verify that the attribute to be updated contains as many trace updates\n         * as indices. Failure must result in throw and no-op\n         */\n        if(!Array.isArray(update[key]) || update[key].length !== indices.length) {\n            throw new Error('attribute ' + key + ' must be an array of length equal to indices array length');\n        }\n\n        /*\n         * if maxPoints is an object it must match keys and array lengths of 'update' 1:1\n         */\n        if(maxPointsIsObject &&\n            (!(key in maxPoints) || !Array.isArray(maxPoints[key]) ||\n            maxPoints[key].length !== update[key].length)) {\n            throw new Error('when maxPoints is set as a key:value object it must contain a 1:1 ' +\n                            'corrispondence with the keys and number of traces in the update object');\n        }\n    }\n}\n\n/**\n * A private function to reduce the type checking clutter in spliceTraces.\n *\n * @param {Object|HTMLDivElement} gd\n * @param {Object} update\n * @param {Number[]} indices\n * @param {Number||Object} maxPoints\n * @return {Object[]}\n */\nfunction getExtendProperties(gd, update, indices, maxPoints) {\n\n    var maxPointsIsObject = Lib.isPlainObject(maxPoints),\n        updateProps = [];\n    var trace, target, prop, insert, maxp;\n\n    // allow scalar index to represent a single trace position\n    if(!Array.isArray(indices)) indices = [indices];\n\n    // negative indices are wrapped around to their positive value. Equivalent to python indexing.\n    indices = positivifyIndices(indices, gd.data.length - 1);\n\n    // loop through all update keys and traces and harvest validated data.\n    for(var key in update) {\n\n        for(var j = 0; j < indices.length; j++) {\n\n            /*\n             * Choose the trace indexed by the indices map argument and get the prop setter-getter\n             * instance that references the key and value for this particular trace.\n             */\n            trace = gd.data[indices[j]];\n            prop = Lib.nestedProperty(trace, key);\n\n            /*\n             * Target is the existing gd.data.trace.dataArray value like \"x\" or \"marker.size\"\n             * Target must exist as an Array to allow the extend operation to be performed.\n             */\n            target = prop.get();\n            insert = update[key][j];\n\n            if(!Lib.isArrayOrTypedArray(insert)) {\n                throw new Error('attribute: ' + key + ' index: ' + j + ' must be an array');\n            }\n            if(!Lib.isArrayOrTypedArray(target)) {\n                throw new Error('cannot extend missing or non-array attribute: ' + key);\n            }\n            if(target.constructor !== insert.constructor) {\n                throw new Error('cannot extend array with an array of a different type: ' + key);\n            }\n\n            /*\n             * maxPoints may be an object map or a scalar. If object select the key:value, else\n             * Use the scalar maxPoints for all key and trace combinations.\n             */\n            maxp = maxPointsIsObject ? maxPoints[key][j] : maxPoints;\n\n            // could have chosen null here, -1 just tells us to not take a window\n            if(!isNumeric(maxp)) maxp = -1;\n\n            /*\n             * Wrap the nestedProperty in an object containing required data\n             * for lengthening and windowing this particular trace - key combination.\n             * Flooring maxp mirrors the behaviour of floats in the Array.slice JSnative function.\n             */\n            updateProps.push({\n                prop: prop,\n                target: target,\n                insert: insert,\n                maxp: Math.floor(maxp)\n            });\n        }\n    }\n\n    // all target and insertion data now validated\n    return updateProps;\n}\n\n/**\n * A private function to key Extend and Prepend traces DRY\n *\n * @param {Object|HTMLDivElement} gd\n * @param {Object} update\n * @param {Number[]} indices\n * @param {Number||Object} maxPoints\n * @param {Function} updateArray\n * @return {Object}\n */\nfunction spliceTraces(gd, update, indices, maxPoints, updateArray) {\n    assertExtendTracesArgs(gd, update, indices, maxPoints);\n\n    var updateProps = getExtendProperties(gd, update, indices, maxPoints);\n    var undoUpdate = {};\n    var undoPoints = {};\n\n    for(var i = 0; i < updateProps.length; i++) {\n        var prop = updateProps[i].prop;\n        var maxp = updateProps[i].maxp;\n\n        // return new array and remainder\n        var out = updateArray(updateProps[i].target, updateProps[i].insert, maxp);\n        prop.set(out[0]);\n\n        // build the inverse update object for the undo operation\n        if(!Array.isArray(undoUpdate[prop.astr])) undoUpdate[prop.astr] = [];\n        undoUpdate[prop.astr].push(out[1]);\n\n         // build the matching maxPoints undo object containing original trace lengths\n        if(!Array.isArray(undoPoints[prop.astr])) undoPoints[prop.astr] = [];\n        undoPoints[prop.astr].push(updateProps[i].target.length);\n    }\n\n    return {update: undoUpdate, maxPoints: undoPoints};\n}\n\nfunction concatTypedArray(arr0, arr1) {\n    var arr2 = new arr0.constructor(arr0.length + arr1.length);\n    arr2.set(arr0);\n    arr2.set(arr1, arr0.length);\n    return arr2;\n}\n\n/**\n * extend && prepend traces at indices with update arrays, window trace lengths to maxPoints\n *\n * Extend and Prepend have identical APIs. Prepend inserts an array at the head while Extend\n * inserts an array off the tail. Prepend truncates the tail of the array - counting maxPoints\n * from the head, whereas Extend truncates the head of the array, counting backward maxPoints\n * from the tail.\n *\n * If maxPoints is undefined, nonNumeric, negative or greater than extended trace length no\n * truncation / windowing will be performed. If its zero, well the whole trace is truncated.\n *\n * @param {Object|HTMLDivElement} gd The graph div\n * @param {Object} update The key:array map of target attributes to extend\n * @param {Number|Number[]} indices The locations of traces to be extended\n * @param {Number|Object} [maxPoints] Number of points for trace window after lengthening.\n *\n */\nexports.extendTraces = function extendTraces(gd, update, indices, maxPoints) {\n    gd = Lib.getGraphDiv(gd);\n\n    function updateArray(target, insert, maxp) {\n        var newArray, remainder;\n\n        if(Lib.isTypedArray(target)) {\n            if(maxp < 0) {\n                var none = new target.constructor(0);\n                var both = concatTypedArray(target, insert);\n\n                if(maxp < 0) {\n                    newArray = both;\n                    remainder = none;\n                } else {\n                    newArray = none;\n                    remainder = both;\n                }\n            } else {\n                newArray = new target.constructor(maxp);\n                remainder = new target.constructor(target.length + insert.length - maxp);\n\n                if(maxp === insert.length) {\n                    newArray.set(insert);\n                    remainder.set(target);\n                } else if(maxp < insert.length) {\n                    var numberOfItemsFromInsert = insert.length - maxp;\n\n                    newArray.set(insert.subarray(numberOfItemsFromInsert));\n                    remainder.set(target);\n                    remainder.set(insert.subarray(0, numberOfItemsFromInsert), target.length);\n                } else {\n                    var numberOfItemsFromTarget = maxp - insert.length;\n                    var targetBegin = target.length - numberOfItemsFromTarget;\n\n                    newArray.set(target.subarray(targetBegin));\n                    newArray.set(insert, numberOfItemsFromTarget);\n                    remainder.set(target.subarray(0, targetBegin));\n                }\n            }\n        } else {\n            newArray = target.concat(insert);\n            remainder = (maxp >= 0 && maxp < newArray.length) ?\n                newArray.splice(0, newArray.length - maxp) :\n                [];\n        }\n\n        return [newArray, remainder];\n    }\n\n    var undo = spliceTraces(gd, update, indices, maxPoints, updateArray);\n    var promise = exports.redraw(gd);\n    var undoArgs = [gd, undo.update, indices, undo.maxPoints];\n    Queue.add(gd, exports.prependTraces, undoArgs, extendTraces, arguments);\n\n    return promise;\n};\n\nexports.prependTraces = function prependTraces(gd, update, indices, maxPoints) {\n    gd = Lib.getGraphDiv(gd);\n\n    function updateArray(target, insert, maxp) {\n        var newArray, remainder;\n\n        if(Lib.isTypedArray(target)) {\n            if(maxp <= 0) {\n                var none = new target.constructor(0);\n                var both = concatTypedArray(insert, target);\n\n                if(maxp < 0) {\n                    newArray = both;\n                    remainder = none;\n                } else {\n                    newArray = none;\n                    remainder = both;\n                }\n            } else {\n                newArray = new target.constructor(maxp);\n                remainder = new target.constructor(target.length + insert.length - maxp);\n\n                if(maxp === insert.length) {\n                    newArray.set(insert);\n                    remainder.set(target);\n                } else if(maxp < insert.length) {\n                    var numberOfItemsFromInsert = insert.length - maxp;\n\n                    newArray.set(insert.subarray(0, numberOfItemsFromInsert));\n                    remainder.set(insert.subarray(numberOfItemsFromInsert));\n                    remainder.set(target, numberOfItemsFromInsert);\n                } else {\n                    var numberOfItemsFromTarget = maxp - insert.length;\n\n                    newArray.set(insert);\n                    newArray.set(target.subarray(0, numberOfItemsFromTarget), insert.length);\n                    remainder.set(target.subarray(numberOfItemsFromTarget));\n                }\n            }\n        } else {\n            newArray = insert.concat(target);\n            remainder = (maxp >= 0 && maxp < newArray.length) ?\n                newArray.splice(maxp, newArray.length) :\n                [];\n        }\n\n        return [newArray, remainder];\n    }\n\n    var undo = spliceTraces(gd, update, indices, maxPoints, updateArray);\n    var promise = exports.redraw(gd);\n    var undoArgs = [gd, undo.update, indices, undo.maxPoints];\n    Queue.add(gd, exports.extendTraces, undoArgs, prependTraces, arguments);\n\n    return promise;\n};\n\n/**\n * Add data traces to an existing graph div.\n *\n * @param {Object|HTMLDivElement} gd The graph div\n * @param {Object[]} gd.data The array of traces we're adding to\n * @param {Object[]|Object} traces The object or array of objects to add\n * @param {Number[]|Number} [newIndices=[gd.data.length]] Locations to add traces\n *\n */\nexports.addTraces = function addTraces(gd, traces, newIndices) {\n    gd = Lib.getGraphDiv(gd);\n\n    var currentIndices = [],\n        undoFunc = exports.deleteTraces,\n        redoFunc = addTraces,\n        undoArgs = [gd, currentIndices],\n        redoArgs = [gd, traces],  // no newIndices here\n        i,\n        promise;\n\n    // all validation is done elsewhere to remove clutter here\n    checkAddTracesArgs(gd, traces, newIndices);\n\n    // make sure traces is an array\n    if(!Array.isArray(traces)) {\n        traces = [traces];\n    }\n\n    // make sure traces do not repeat existing ones\n    traces = traces.map(function(trace) {\n        return Lib.extendFlat({}, trace);\n    });\n\n    helpers.cleanData(traces);\n\n    // add the traces to gd.data (no redrawing yet!)\n    for(i = 0; i < traces.length; i++) {\n        gd.data.push(traces[i]);\n    }\n\n    // to continue, we need to call moveTraces which requires currentIndices\n    for(i = 0; i < traces.length; i++) {\n        currentIndices.push(-traces.length + i);\n    }\n\n    // if the user didn't define newIndices, they just want the traces appended\n    // i.e., we can simply redraw and be done\n    if(typeof newIndices === 'undefined') {\n        promise = exports.redraw(gd);\n        Queue.add(gd, undoFunc, undoArgs, redoFunc, redoArgs);\n        return promise;\n    }\n\n    // make sure indices is property defined\n    if(!Array.isArray(newIndices)) {\n        newIndices = [newIndices];\n    }\n\n    try {\n\n        // this is redundant, but necessary to not catch later possible errors!\n        checkMoveTracesArgs(gd, currentIndices, newIndices);\n    }\n    catch(error) {\n\n        // something went wrong, reset gd to be safe and rethrow error\n        gd.data.splice(gd.data.length - traces.length, traces.length);\n        throw error;\n    }\n\n    // if we're here, the user has defined specific places to place the new traces\n    // this requires some extra work that moveTraces will do\n    Queue.startSequence(gd);\n    Queue.add(gd, undoFunc, undoArgs, redoFunc, redoArgs);\n    promise = exports.moveTraces(gd, currentIndices, newIndices);\n    Queue.stopSequence(gd);\n    return promise;\n};\n\n/**\n * Delete traces at `indices` from gd.data array.\n *\n * @param {Object|HTMLDivElement} gd The graph div\n * @param {Object[]} gd.data The array of traces we're removing from\n * @param {Number|Number[]} indices The indices\n */\nexports.deleteTraces = function deleteTraces(gd, indices) {\n    gd = Lib.getGraphDiv(gd);\n\n    var traces = [],\n        undoFunc = exports.addTraces,\n        redoFunc = deleteTraces,\n        undoArgs = [gd, traces, indices],\n        redoArgs = [gd, indices],\n        i,\n        deletedTrace;\n\n    // make sure indices are defined\n    if(typeof indices === 'undefined') {\n        throw new Error('indices must be an integer or array of integers.');\n    } else if(!Array.isArray(indices)) {\n        indices = [indices];\n    }\n    assertIndexArray(gd, indices, 'indices');\n\n    // convert negative indices to positive indices\n    indices = positivifyIndices(indices, gd.data.length - 1);\n\n    // we want descending here so that splicing later doesn't affect indexing\n    indices.sort(Lib.sorterDes);\n    for(i = 0; i < indices.length; i += 1) {\n        deletedTrace = gd.data.splice(indices[i], 1)[0];\n        traces.push(deletedTrace);\n    }\n\n    var promise = exports.redraw(gd);\n    Queue.add(gd, undoFunc, undoArgs, redoFunc, redoArgs);\n\n    return promise;\n};\n\n/**\n * Move traces at currentIndices array to locations in newIndices array.\n *\n * If newIndices is omitted, currentIndices will be moved to the end. E.g.,\n * these are equivalent:\n *\n * Plotly.moveTraces(gd, [1, 2, 3], [-3, -2, -1])\n * Plotly.moveTraces(gd, [1, 2, 3])\n *\n * @param {Object|HTMLDivElement} gd The graph div\n * @param {Object[]} gd.data The array of traces we're removing from\n * @param {Number|Number[]} currentIndices The locations of traces to be moved\n * @param {Number|Number[]} [newIndices] The locations to move traces to\n *\n * Example calls:\n *\n *      // move trace i to location x\n *      Plotly.moveTraces(gd, i, x)\n *\n *      // move trace i to end of array\n *      Plotly.moveTraces(gd, i)\n *\n *      // move traces i, j, k to end of array (i != j != k)\n *      Plotly.moveTraces(gd, [i, j, k])\n *\n *      // move traces [i, j, k] to [x, y, z] (i != j != k) (x != y != z)\n *      Plotly.moveTraces(gd, [i, j, k], [x, y, z])\n *\n *      // reorder all traces (assume there are 5--a, b, c, d, e)\n *      Plotly.moveTraces(gd, [b, d, e, a, c])  // same as 'move to end'\n */\nexports.moveTraces = function moveTraces(gd, currentIndices, newIndices) {\n    gd = Lib.getGraphDiv(gd);\n\n    var newData = [],\n        movingTraceMap = [],\n        undoFunc = moveTraces,\n        redoFunc = moveTraces,\n        undoArgs = [gd, newIndices, currentIndices],\n        redoArgs = [gd, currentIndices, newIndices],\n        i;\n\n    // to reduce complexity here, check args elsewhere\n    // this throws errors where appropriate\n    checkMoveTracesArgs(gd, currentIndices, newIndices);\n\n    // make sure currentIndices is an array\n    currentIndices = Array.isArray(currentIndices) ? currentIndices : [currentIndices];\n\n    // if undefined, define newIndices to point to the end of gd.data array\n    if(typeof newIndices === 'undefined') {\n        newIndices = [];\n        for(i = 0; i < currentIndices.length; i++) {\n            newIndices.push(-currentIndices.length + i);\n        }\n    }\n\n    // make sure newIndices is an array if it's user-defined\n    newIndices = Array.isArray(newIndices) ? newIndices : [newIndices];\n\n    // convert negative indices to positive indices (they're the same length)\n    currentIndices = positivifyIndices(currentIndices, gd.data.length - 1);\n    newIndices = positivifyIndices(newIndices, gd.data.length - 1);\n\n    // at this point, we've coerced the index arrays into predictable forms\n\n    // get the traces that aren't being moved around\n    for(i = 0; i < gd.data.length; i++) {\n\n        // if index isn't in currentIndices, include it in ignored!\n        if(currentIndices.indexOf(i) === -1) {\n            newData.push(gd.data[i]);\n        }\n    }\n\n    // get a mapping of indices to moving traces\n    for(i = 0; i < currentIndices.length; i++) {\n        movingTraceMap.push({newIndex: newIndices[i], trace: gd.data[currentIndices[i]]});\n    }\n\n    // reorder this mapping by newIndex, ascending\n    movingTraceMap.sort(function(a, b) {\n        return a.newIndex - b.newIndex;\n    });\n\n    // now, add the moving traces back in, in order!\n    for(i = 0; i < movingTraceMap.length; i += 1) {\n        newData.splice(movingTraceMap[i].newIndex, 0, movingTraceMap[i].trace);\n    }\n\n    gd.data = newData;\n\n    var promise = exports.redraw(gd);\n    Queue.add(gd, undoFunc, undoArgs, redoFunc, redoArgs);\n\n    return promise;\n};\n\n/**\n * restyle: update trace attributes of an existing plot\n *\n * Can be called two ways.\n *\n * Signature 1:\n * @param {String | HTMLDivElement} gd\n *  the id or DOM element of the graph container div\n * @param {String} astr\n *  attribute string (like `'marker.symbol'`) to update\n * @param {*} val\n *  value to give this attribute\n * @param {Number[] | Number} [traces]\n *  integer or array of integers for the traces to alter (all if omitted)\n *\n * Signature 2:\n * @param {String | HTMLDivElement} gd\n *  (as in signature 1)\n * @param {Object} aobj\n *  attribute object `{astr1: val1, astr2: val2 ...}`\n *  allows setting multiple attributes simultaneously\n * @param {Number[] | Number} [traces]\n *  (as in signature 1)\n *\n * `val` (or `val1`, `val2` ... in the object form) can be an array,\n * to apply different values to each trace.\n *\n * If the array is too short, it will wrap around (useful for\n * style files that want to specify cyclical default values).\n */\nexports.restyle = function restyle(gd, astr, val, _traces) {\n    gd = Lib.getGraphDiv(gd);\n    helpers.clearPromiseQueue(gd);\n\n    var aobj = {};\n    if(typeof astr === 'string') aobj[astr] = val;\n    else if(Lib.isPlainObject(astr)) {\n        // the 3-arg form\n        aobj = Lib.extendFlat({}, astr);\n        if(_traces === undefined) _traces = val;\n    }\n    else {\n        Lib.warn('Restyle fail.', astr, val, _traces);\n        return Promise.reject();\n    }\n\n    if(Object.keys(aobj).length) gd.changed = true;\n\n    var traces = helpers.coerceTraceIndices(gd, _traces);\n\n    var specs = _restyle(gd, aobj, traces);\n    var flags = specs.flags;\n\n    // clear calcdata and/or axis types if required so they get regenerated\n    if(flags.calc) gd.calcdata = undefined;\n    if(flags.clearAxisTypes) helpers.clearAxisTypes(gd, traces, {});\n\n    // fill in redraw sequence\n    var seq = [];\n\n    if(flags.fullReplot) {\n        seq.push(exports.plot);\n    } else {\n        seq.push(Plots.previousPromises);\n\n        // maybe only call Plots.supplyDataDefaults in the splom case,\n        // to skip over long and slow axes defaults\n        Plots.supplyDefaults(gd);\n\n        if(flags.markerSize) {\n            Plots.doCalcdata(gd);\n            addAxRangeSequence(seq);\n\n            // TODO\n            // if all axes have autorange:false, then\n            // proceed to subroutines.doTraceStyle(),\n            // otherwise we must go through addAxRangeSequence,\n            // which in general must redraws 'all' axes\n        }\n\n        if(flags.style) seq.push(subroutines.doTraceStyle);\n        if(flags.colorbars) seq.push(subroutines.doColorBars);\n\n        seq.push(emitAfterPlot);\n    }\n\n    seq.push(Plots.rehover);\n\n    Queue.add(gd,\n        restyle, [gd, specs.undoit, specs.traces],\n        restyle, [gd, specs.redoit, specs.traces]\n    );\n\n    var plotDone = Lib.syncOrAsync(seq, gd);\n    if(!plotDone || !plotDone.then) plotDone = Promise.resolve();\n\n    return plotDone.then(function() {\n        gd.emit('plotly_restyle', specs.eventData);\n        return gd;\n    });\n};\n\n// for undo: undefined initial vals must be turned into nulls\n// so that we unset rather than ignore them\nfunction undefinedToNull(val) {\n    if(val === undefined) return null;\n    return val;\n}\n\nfunction _restyle(gd, aobj, traces) {\n    var fullLayout = gd._fullLayout,\n        fullData = gd._fullData,\n        data = gd.data,\n        i;\n\n    // initialize flags\n    var flags = editTypes.traceFlags();\n\n    // copies of the change (and previous values of anything affected)\n    // for the undo / redo queue\n    var redoit = {},\n        undoit = {},\n        axlist;\n\n    // make a new empty vals array for undoit\n    function a0() { return traces.map(function() { return undefined; }); }\n\n    // for autoranging multiple axes\n    function addToAxlist(axid) {\n        var axName = Axes.id2name(axid);\n        if(axlist.indexOf(axName) === -1) axlist.push(axName);\n    }\n\n    function autorangeAttr(axName) { return 'LAYOUT' + axName + '.autorange'; }\n\n    function rangeAttr(axName) { return 'LAYOUT' + axName + '.range'; }\n\n    // for attrs that interact (like scales & autoscales), save the\n    // old vals before making the change\n    // val=undefined will not set a value, just record what the value was.\n    // val=null will delete the attribute\n    // attr can be an array to set several at once (all to the same val)\n    function doextra(attr, val, i) {\n        if(Array.isArray(attr)) {\n            attr.forEach(function(a) { doextra(a, val, i); });\n            return;\n        }\n        // quit if explicitly setting this elsewhere\n        if(attr in aobj || helpers.hasParent(aobj, attr)) return;\n\n        var extraparam;\n        if(attr.substr(0, 6) === 'LAYOUT') {\n            extraparam = Lib.nestedProperty(gd.layout, attr.replace('LAYOUT', ''));\n        } else {\n            extraparam = Lib.nestedProperty(data[traces[i]], attr);\n        }\n\n        if(!(attr in undoit)) {\n            undoit[attr] = a0();\n        }\n        if(undoit[attr][i] === undefined) {\n            undoit[attr][i] = undefinedToNull(extraparam.get());\n        }\n        if(val !== undefined) {\n            extraparam.set(val);\n        }\n    }\n\n    function allBins(binAttr) {\n        return function(j) {\n            return fullData[j][binAttr];\n        };\n    }\n\n    function arrayBins(binAttr) {\n        return function(vij, j) {\n            return vij === false ? fullData[traces[j]][binAttr] : null;\n        };\n    }\n\n    // now make the changes to gd.data (and occasionally gd.layout)\n    // and figure out what kind of graphics update we need to do\n    for(var ai in aobj) {\n        if(helpers.hasParent(aobj, ai)) {\n            throw new Error('cannot set ' + ai + 'and a parent attribute simultaneously');\n        }\n\n        var vi = aobj[ai],\n            cont,\n            contFull,\n            param,\n            oldVal,\n            newVal,\n            valObject;\n\n        // Backward compatibility shim for turning histogram autobin on,\n        // or freezing previous autobinned values.\n        // Replace obsolete `autobin(x|y): true` with `(x|y)bins: null`\n        // and `autobin(x|y): false` with the `(x|y)bins` in `fullData`\n        if(ai === 'autobinx' || ai === 'autobiny') {\n            ai = ai.charAt(ai.length - 1) + 'bins';\n            if(Array.isArray(vi)) vi = vi.map(arrayBins(ai));\n            else if(vi === false) vi = traces.map(allBins(ai));\n            else vi = null;\n        }\n\n        redoit[ai] = vi;\n\n        if(ai.substr(0, 6) === 'LAYOUT') {\n            param = Lib.nestedProperty(gd.layout, ai.replace('LAYOUT', ''));\n            undoit[ai] = [undefinedToNull(param.get())];\n            // since we're allowing val to be an array, allow it here too,\n            // even though that's meaningless\n            param.set(Array.isArray(vi) ? vi[0] : vi);\n            // ironically, the layout attrs in restyle only require replot,\n            // not relayout\n            flags.calc = true;\n            continue;\n        }\n\n        // set attribute in gd.data\n        undoit[ai] = a0();\n        for(i = 0; i < traces.length; i++) {\n            cont = data[traces[i]];\n            contFull = fullData[traces[i]];\n            param = Lib.nestedProperty(cont, ai);\n            oldVal = param.get();\n            newVal = Array.isArray(vi) ? vi[i % vi.length] : vi;\n\n            if(newVal === undefined) continue;\n\n            var finalPart = param.parts[param.parts.length - 1];\n            var prefix = ai.substr(0, ai.length - finalPart.length - 1);\n            var prefixDot = prefix ? prefix + '.' : '';\n            var innerContFull = prefix ?\n                Lib.nestedProperty(contFull, prefix).get() : contFull;\n\n            valObject = PlotSchema.getTraceValObject(contFull, param.parts);\n\n            if(valObject && valObject.impliedEdits && newVal !== null) {\n                for(var impliedKey in valObject.impliedEdits) {\n                    doextra(Lib.relativeAttr(ai, impliedKey), valObject.impliedEdits[impliedKey], i);\n                }\n            }\n\n            // changing colorbar size modes,\n            // make the resulting size not change\n            // note that colorbar fractional sizing is based on the\n            // original plot size, before anything (like a colorbar)\n            // increases the margins\n            else if((finalPart === 'thicknessmode' || finalPart === 'lenmode') &&\n                    oldVal !== newVal &&\n                    (newVal === 'fraction' || newVal === 'pixels') &&\n                    innerContFull\n            ) {\n                var gs = fullLayout._size;\n                var orient = innerContFull.orient;\n                var topOrBottom = (orient === 'top') || (orient === 'bottom');\n                if(finalPart === 'thicknessmode') {\n                    var thicknorm = topOrBottom ? gs.h : gs.w;\n                    doextra(prefixDot + 'thickness', innerContFull.thickness *\n                        (newVal === 'fraction' ? 1 / thicknorm : thicknorm), i);\n                }\n                else {\n                    var lennorm = topOrBottom ? gs.w : gs.h;\n                    doextra(prefixDot + 'len', innerContFull.len *\n                        (newVal === 'fraction' ? 1 / lennorm : lennorm), i);\n                }\n            }\n\n            else if(ai === 'type' && (newVal === 'pie') !== (oldVal === 'pie')) {\n                var labelsTo = 'x',\n                    valuesTo = 'y';\n                if((newVal === 'bar' || oldVal === 'bar') && cont.orientation === 'h') {\n                    labelsTo = 'y';\n                    valuesTo = 'x';\n                }\n                Lib.swapAttrs(cont, ['?', '?src'], 'labels', labelsTo);\n                Lib.swapAttrs(cont, ['d?', '?0'], 'label', labelsTo);\n                Lib.swapAttrs(cont, ['?', '?src'], 'values', valuesTo);\n\n                if(oldVal === 'pie') {\n                    Lib.nestedProperty(cont, 'marker.color')\n                        .set(Lib.nestedProperty(cont, 'marker.colors').get());\n\n                    // super kludgy - but if all pies are gone we won't remove them otherwise\n                    fullLayout._pielayer.selectAll('g.trace').remove();\n                } else if(Registry.traceIs(cont, 'cartesian')) {\n                    Lib.nestedProperty(cont, 'marker.colors')\n                        .set(Lib.nestedProperty(cont, 'marker.color').get());\n                }\n            }\n\n            undoit[ai][i] = undefinedToNull(oldVal);\n            // set the new value - if val is an array, it's one el per trace\n            // first check for attributes that get more complex alterations\n            var swapAttrs = [\n                'swapxy', 'swapxyaxes', 'orientation', 'orientationaxes'\n            ];\n            if(swapAttrs.indexOf(ai) !== -1) {\n                // setting an orientation: make sure it's changing\n                // before we swap everything else\n                if(ai === 'orientation') {\n                    param.set(newVal);\n                    // obnoxious that we need this level of coupling... but in order to\n                    // properly handle setting orientation to `null` we need to mimic\n                    // the logic inside Bars.supplyDefaults for default orientation\n                    var defaultOrientation = (cont.x && !cont.y) ? 'h' : 'v';\n                    if((param.get() || defaultOrientation) === contFull.orientation) {\n                        continue;\n                    }\n                }\n                // orientationaxes has no value,\n                // it flips everything and the axes\n                else if(ai === 'orientationaxes') {\n                    cont.orientation =\n                        {v: 'h', h: 'v'}[contFull.orientation];\n                }\n                helpers.swapXYData(cont);\n                flags.calc = flags.clearAxisTypes = true;\n            }\n            else if(Plots.dataArrayContainers.indexOf(param.parts[0]) !== -1) {\n                // TODO: use manageArrays.applyContainerArrayChanges here too\n                helpers.manageArrayContainers(param, newVal, undoit);\n                flags.calc = true;\n            }\n            else {\n                if(valObject) {\n                    // must redo calcdata when restyling array values of arrayOk attributes\n                    // ... but no need to this for regl-based traces\n                    if(valObject.arrayOk &&\n                        !Registry.traceIs(contFull, 'regl') &&\n                        (Lib.isArrayOrTypedArray(newVal) || Lib.isArrayOrTypedArray(oldVal))\n                    ) {\n                        flags.calc = true;\n                    }\n                    else editTypes.update(flags, valObject);\n                }\n                else {\n                    /*\n                     * if we couldn't find valObject,  assume a full recalc.\n                     * This can happen if you're changing type and making\n                     * some other edits too, so the modules we're\n                     * looking at don't have these attributes in them.\n                     */\n                    flags.calc = true;\n                }\n\n                // all the other ones, just modify that one attribute\n                param.set(newVal);\n            }\n        }\n\n        // swap the data attributes of the relevant x and y axes?\n        if(['swapxyaxes', 'orientationaxes'].indexOf(ai) !== -1) {\n            Axes.swap(gd, traces);\n        }\n\n        // swap hovermode if set to \"compare x/y data\"\n        if(ai === 'orientationaxes') {\n            var hovermode = Lib.nestedProperty(gd.layout, 'hovermode');\n            if(hovermode.get() === 'x') {\n                hovermode.set('y');\n            } else if(hovermode.get() === 'y') {\n                hovermode.set('x');\n            }\n        }\n\n        // Major enough changes deserve autoscale and\n        // non-reversed axes so people don't get confused\n        //\n        // Note: autobin (or its new analog bin clearing) is not included here\n        // since we're not pushing bins back to gd.data, so if we have bin\n        // info it was explicitly provided by the user.\n        if(['orientation', 'type'].indexOf(ai) !== -1) {\n            axlist = [];\n            for(i = 0; i < traces.length; i++) {\n                var trace = data[traces[i]];\n\n                if(Registry.traceIs(trace, 'cartesian')) {\n                    addToAxlist(trace.xaxis || 'x');\n                    addToAxlist(trace.yaxis || 'y');\n                }\n            }\n\n            doextra(axlist.map(autorangeAttr), true, 0);\n            doextra(axlist.map(rangeAttr), [0, 1], 0);\n        }\n    }\n\n    if(flags.calc || flags.plot) {\n        flags.fullReplot = true;\n    }\n\n    return {\n        flags: flags,\n        undoit: undoit,\n        redoit: redoit,\n        traces: traces,\n        eventData: Lib.extendDeepNoArrays([], [redoit, traces])\n    };\n}\n\n/**\n * relayout: update layout attributes of an existing plot\n *\n * Can be called two ways:\n *\n * Signature 1:\n * @param {String | HTMLDivElement} gd\n *  the id or dom element of the graph container div\n * @param {String} astr\n *  attribute string (like `'xaxis.range[0]'`) to update\n * @param {*} val\n *  value to give this attribute\n *\n * Signature 2:\n * @param {String | HTMLDivElement} gd\n *  (as in signature 1)\n * @param {Object} aobj\n *  attribute object `{astr1: val1, astr2: val2 ...}`\n *  allows setting multiple attributes simultaneously\n */\nexports.relayout = function relayout(gd, astr, val) {\n    gd = Lib.getGraphDiv(gd);\n    helpers.clearPromiseQueue(gd);\n\n    if(gd.framework && gd.framework.isPolar) {\n        return Promise.resolve(gd);\n    }\n\n    var aobj = {};\n    if(typeof astr === 'string') {\n        aobj[astr] = val;\n    } else if(Lib.isPlainObject(astr)) {\n        aobj = Lib.extendFlat({}, astr);\n    } else {\n        Lib.warn('Relayout fail.', astr, val);\n        return Promise.reject();\n    }\n\n    if(Object.keys(aobj).length) gd.changed = true;\n\n    var specs = _relayout(gd, aobj);\n    var flags = specs.flags;\n\n    // clear calcdata if required\n    if(flags.calc) gd.calcdata = undefined;\n\n    // fill in redraw sequence\n\n    // even if we don't have anything left in aobj,\n    // something may have happened within relayout that we\n    // need to wait for\n    var seq = [Plots.previousPromises];\n\n    if(flags.layoutReplot) {\n        seq.push(subroutines.layoutReplot);\n    }\n    else if(Object.keys(aobj).length) {\n        axRangeSupplyDefaultsByPass(gd, flags, specs) || Plots.supplyDefaults(gd);\n\n        if(flags.legend) seq.push(subroutines.doLegend);\n        if(flags.layoutstyle) seq.push(subroutines.layoutStyles);\n        if(flags.axrange) addAxRangeSequence(seq, specs.rangesAltered);\n        if(flags.ticks) seq.push(subroutines.doTicksRelayout);\n        if(flags.modebar) seq.push(subroutines.doModeBar);\n        if(flags.camera) seq.push(subroutines.doCamera);\n\n        seq.push(emitAfterPlot);\n    }\n\n    seq.push(Plots.rehover);\n\n    Queue.add(gd,\n        relayout, [gd, specs.undoit],\n        relayout, [gd, specs.redoit]\n    );\n\n    var plotDone = Lib.syncOrAsync(seq, gd);\n    if(!plotDone || !plotDone.then) plotDone = Promise.resolve(gd);\n\n    return plotDone.then(function() {\n        gd.emit('plotly_relayout', specs.eventData);\n        return gd;\n    });\n};\n\n// Optimization mostly for large splom traces where\n// Plots.supplyDefaults can take > 100ms\nfunction axRangeSupplyDefaultsByPass(gd, flags, specs) {\n    var k;\n\n    if(!flags.axrange) return false;\n\n    for(k in flags) {\n        if(k !== 'axrange' && flags[k]) return false;\n    }\n\n    for(k in specs.rangesAltered) {\n        var axName = Axes.id2name(k);\n        var axIn = gd.layout[axName];\n        var axOut = gd._fullLayout[axName];\n        axOut.autorange = axIn.autorange;\n        axOut.range = axIn.range.slice();\n        axOut.cleanRange();\n    }\n    return true;\n}\n\nfunction addAxRangeSequence(seq, rangesAltered) {\n    // N.B. leave as sequence of subroutines (for now) instead of\n    // subroutine of its own so that finalDraw always gets\n    // executed after drawData\n    var doTicks = rangesAltered ?\n        function(gd) { return Axes.doTicks(gd, Object.keys(rangesAltered), true); } :\n        function(gd) { return Axes.doTicks(gd, 'redraw'); };\n\n    seq.push(\n        subroutines.doAutoRangeAndConstraints,\n        doTicks,\n        subroutines.drawData,\n        subroutines.finalDraw\n    );\n}\n\nvar AX_RANGE_RE = /^[xyz]axis[0-9]*\\.range(\\[[0|1]\\])?$/;\nvar AX_AUTORANGE_RE = /^[xyz]axis[0-9]*\\.autorange$/;\nvar AX_DOMAIN_RE = /^[xyz]axis[0-9]*\\.domain(\\[[0|1]\\])?$/;\n\nfunction _relayout(gd, aobj) {\n    var layout = gd.layout,\n        fullLayout = gd._fullLayout,\n        keys = Object.keys(aobj),\n        axes = Axes.list(gd),\n        arrayEdits = {},\n        arrayStr,\n        i,\n        j;\n\n    // look for 'allaxes', split out into all axes\n    // in case of 3D the axis are nested within a scene which is held in _id\n    for(i = 0; i < keys.length; i++) {\n        if(keys[i].indexOf('allaxes') === 0) {\n            for(j = 0; j < axes.length; j++) {\n                var scene = axes[j]._id.substr(1),\n                    axisAttr = (scene.indexOf('scene') !== -1) ? (scene + '.') : '',\n                    newkey = keys[i].replace('allaxes', axisAttr + axes[j]._name);\n\n                if(!aobj[newkey]) aobj[newkey] = aobj[keys[i]];\n            }\n\n            delete aobj[keys[i]];\n        }\n    }\n\n    // initialize flags\n    var flags = editTypes.layoutFlags();\n\n    // copies of the change (and previous values of anything affected)\n    // for the undo / redo queue\n    var redoit = {},\n        undoit = {};\n\n    // for attrs that interact (like scales & autoscales), save the\n    // old vals before making the change\n    // val=undefined will not set a value, just record what the value was.\n    // attr can be an array to set several at once (all to the same val)\n    function doextra(attr, val) {\n        if(Array.isArray(attr)) {\n            attr.forEach(function(a) { doextra(a, val); });\n            return;\n        }\n\n        // if we have another value for this attribute (explicitly or\n        // via a parent) do not override with this auto-generated extra\n        if(attr in aobj || helpers.hasParent(aobj, attr)) return;\n\n        var p = Lib.nestedProperty(layout, attr);\n        if(!(attr in undoit)) {\n            undoit[attr] = undefinedToNull(p.get());\n        }\n        if(val !== undefined) p.set(val);\n    }\n\n    // for constraint enforcement: keep track of all axes (as {id: name})\n    // we're editing the (auto)range of, so we can tell the others constrained\n    // to scale with them that it's OK for them to shrink\n    var rangesAltered = {};\n    var axId;\n\n    function recordAlteredAxis(pleafPlus) {\n        var axId = Axes.name2id(pleafPlus.split('.')[0]);\n        rangesAltered[axId] = 1;\n        return axId;\n    }\n\n    // alter gd.layout\n    for(var ai in aobj) {\n        if(helpers.hasParent(aobj, ai)) {\n            throw new Error('cannot set ' + ai + 'and a parent attribute simultaneously');\n        }\n\n        var p = Lib.nestedProperty(layout, ai);\n        var vi = aobj[ai];\n        var plen = p.parts.length;\n        // p.parts may end with an index integer if the property is an array\n        var pend = plen - 1;\n        while(pend > 0 && typeof p.parts[pend] !== 'string') pend--;\n        // last property in chain (leaf node)\n        var pleaf = p.parts[pend];\n        // leaf plus immediate parent\n        var pleafPlus = p.parts[pend - 1] + '.' + pleaf;\n        // trunk nodes (everything except the leaf)\n        var ptrunk = p.parts.slice(0, pend).join('.');\n        var parentIn = Lib.nestedProperty(gd.layout, ptrunk).get();\n        var parentFull = Lib.nestedProperty(fullLayout, ptrunk).get();\n        var vOld = p.get();\n\n        if(vi === undefined) continue;\n\n        redoit[ai] = vi;\n\n        // axis reverse is special - it is its own inverse\n        // op and has no flag.\n        undoit[ai] = (pleaf === 'reverse') ? vi : undefinedToNull(vOld);\n\n        var valObject = PlotSchema.getLayoutValObject(fullLayout, p.parts);\n\n        if(valObject && valObject.impliedEdits && vi !== null) {\n            for(var impliedKey in valObject.impliedEdits) {\n                doextra(Lib.relativeAttr(ai, impliedKey), valObject.impliedEdits[impliedKey]);\n            }\n        }\n\n        // Setting width or height to null must reset the graph's width / height\n        // back to its initial value as computed during the first pass in Plots.plotAutoSize.\n        //\n        // To do so, we must manually set them back here using the _initialAutoSize cache.\n        // can't use impliedEdits for this because behavior depends on vi\n        if(['width', 'height'].indexOf(ai) !== -1) {\n            if(vi) {\n                doextra('autosize', null);\n                // currently we don't support autosize one dim only - so\n                // explicitly set the other one. Note that doextra will\n                // ignore this if the same relayout call also provides oppositeAttr\n                var oppositeAttr = ai === 'height' ? 'width' : 'height';\n                doextra(oppositeAttr, fullLayout[oppositeAttr]);\n            }\n            else {\n                fullLayout[ai] = gd._initialAutoSize[ai];\n            }\n        }\n        else if(ai === 'autosize') {\n            // depends on vi here too, so again can't use impliedEdits\n            doextra('width', vi ? null : fullLayout.width);\n            doextra('height', vi ? null : fullLayout.height);\n        }\n        // check autorange vs range\n        else if(pleafPlus.match(AX_RANGE_RE)) {\n            recordAlteredAxis(pleafPlus);\n            Lib.nestedProperty(fullLayout, ptrunk + '._inputRange').set(null);\n        }\n        else if(pleafPlus.match(AX_AUTORANGE_RE)) {\n            recordAlteredAxis(pleafPlus);\n            Lib.nestedProperty(fullLayout, ptrunk + '._inputRange').set(null);\n            var axFull = Lib.nestedProperty(fullLayout, ptrunk).get();\n            if(axFull._inputDomain) {\n                // if we're autoranging and this axis has a constrained domain,\n                // reset it so we don't get locked into a shrunken size\n                axFull._input.domain = axFull._inputDomain.slice();\n            }\n        }\n        else if(pleafPlus.match(AX_DOMAIN_RE)) {\n            Lib.nestedProperty(fullLayout, ptrunk + '._inputDomain').set(null);\n        }\n\n        // toggling axis type between log and linear: we need to convert\n        // positions for components that are still using linearized values,\n        // not data values like newer components.\n        // previously we did this for log <-> not-log, but now only do it\n        // for log <-> linear\n        if(pleaf === 'type') {\n            var ax = parentIn,\n                toLog = parentFull.type === 'linear' && vi === 'log',\n                fromLog = parentFull.type === 'log' && vi === 'linear';\n\n            if(toLog || fromLog) {\n                if(!ax || !ax.range) {\n                    // 2D never gets here, but 3D does\n                    // I don't think this is needed, but left here in case there\n                    // are edge cases I'm not thinking of.\n                    doextra(ptrunk + '.autorange', true);\n                }\n                else if(!parentFull.autorange) {\n                    // toggling log without autorange: need to also recalculate ranges\n                    // because log axes use linearized values for range endpoints\n                    var r0 = ax.range[0],\n                        r1 = ax.range[1];\n                    if(toLog) {\n                        // if both limits are negative, autorange\n                        if(r0 <= 0 && r1 <= 0) {\n                            doextra(ptrunk + '.autorange', true);\n                        }\n                        // if one is negative, set it 6 orders below the other.\n                        if(r0 <= 0) r0 = r1 / 1e6;\n                        else if(r1 <= 0) r1 = r0 / 1e6;\n                        // now set the range values as appropriate\n                        doextra(ptrunk + '.range[0]', Math.log(r0) / Math.LN10);\n                        doextra(ptrunk + '.range[1]', Math.log(r1) / Math.LN10);\n                    }\n                    else {\n                        doextra(ptrunk + '.range[0]', Math.pow(10, r0));\n                        doextra(ptrunk + '.range[1]', Math.pow(10, r1));\n                    }\n                }\n                else if(toLog) {\n                    // just make sure the range is positive and in the right\n                    // order, it'll get recalculated later\n                    ax.range = (ax.range[1] > ax.range[0]) ? [1, 2] : [2, 1];\n                }\n\n                // clear polar view initial stash for radial range so that\n                // value get recomputed in correct units\n                if(Array.isArray(fullLayout._subplots.polar) &&\n                    fullLayout._subplots.polar.length &&\n                    fullLayout[p.parts[0]] &&\n                    p.parts[1] === 'radialaxis'\n                ) {\n                    delete fullLayout[p.parts[0]]._subplot.viewInitial['radialaxis.range'];\n                }\n\n                // Annotations and images also need to convert to/from linearized coords\n                // Shapes do not need this :)\n                Registry.getComponentMethod('annotations', 'convertCoords')(gd, parentFull, vi, doextra);\n                Registry.getComponentMethod('images', 'convertCoords')(gd, parentFull, vi, doextra);\n            }\n            else {\n                // any other type changes: the range from the previous type\n                // will not make sense, so autorange it.\n                doextra(ptrunk + '.autorange', true);\n                doextra(ptrunk + '.range', null);\n            }\n            Lib.nestedProperty(fullLayout, ptrunk + '._inputRange').set(null);\n        }\n        else if(pleaf.match(AX_NAME_PATTERN)) {\n            var fullProp = Lib.nestedProperty(fullLayout, ai).get(),\n                newType = (vi || {}).type;\n\n            // This can potentially cause strange behavior if the autotype is not\n            // numeric (linear, because we don't auto-log) but the previous type\n            // was log. That's a very strange edge case though\n            if(!newType || newType === '-') newType = 'linear';\n            Registry.getComponentMethod('annotations', 'convertCoords')(gd, fullProp, newType, doextra);\n            Registry.getComponentMethod('images', 'convertCoords')(gd, fullProp, newType, doextra);\n        }\n\n        // alter gd.layout\n\n        // collect array component edits for execution all together\n        // so we can ensure consistent behavior adding/removing items\n        // and order-independence for add/remove/edit all together in\n        // one relayout call\n        var containerArrayMatch = manageArrays.containerArrayMatch(ai);\n        if(containerArrayMatch) {\n            arrayStr = containerArrayMatch.array;\n            i = containerArrayMatch.index;\n            var propStr = containerArrayMatch.property;\n            var componentArray = Lib.nestedProperty(layout, arrayStr);\n            var obji = (componentArray || [])[i] || {};\n            var updateValObject = valObject || {editType: 'calc'};\n\n            if(i !== '' && propStr === '') {\n                // special handling of undoit if we're adding or removing an element\n                // ie 'annotations[2]' which can be {...} (add) or null,\n                // does not work when replacing the entire array\n                if(manageArrays.isAddVal(vi)) {\n                    undoit[ai] = null;\n                } else if(manageArrays.isRemoveVal(vi)) {\n                    undoit[ai] = obji;\n                } else {\n                    Lib.warn('unrecognized full object value', aobj);\n                }\n            }\n            editTypes.update(flags, updateValObject);\n\n            // prepare the edits object we'll send to applyContainerArrayChanges\n            if(!arrayEdits[arrayStr]) arrayEdits[arrayStr] = {};\n            var objEdits = arrayEdits[arrayStr][i];\n            if(!objEdits) objEdits = arrayEdits[arrayStr][i] = {};\n            objEdits[propStr] = vi;\n\n            delete aobj[ai];\n        }\n        // handle axis reversal explicitly, as there's no 'reverse' attribute\n        else if(pleaf === 'reverse') {\n            if(parentIn.range) parentIn.range.reverse();\n            else {\n                doextra(ptrunk + '.autorange', true);\n                parentIn.range = [1, 0];\n            }\n\n            if(parentFull.autorange) flags.calc = true;\n            else flags.plot = true;\n        }\n        else {\n            if((fullLayout._has('scatter-like') && fullLayout._has('regl')) &&\n                (ai === 'dragmode' &&\n                (vi === 'lasso' || vi === 'select') &&\n                !(vOld === 'lasso' || vOld === 'select'))\n            ) {\n                flags.plot = true;\n            }\n            else if(valObject) editTypes.update(flags, valObject);\n            else flags.calc = true;\n\n            p.set(vi);\n        }\n    }\n\n    // now we've collected component edits - execute them all together\n    for(arrayStr in arrayEdits) {\n        var finished = manageArrays.applyContainerArrayChanges(gd,\n            Lib.nestedProperty(layout, arrayStr), arrayEdits[arrayStr], flags);\n        if(!finished) flags.plot = true;\n    }\n\n    // figure out if we need to recalculate axis constraints\n    var constraints = fullLayout._axisConstraintGroups || [];\n    for(axId in rangesAltered) {\n        for(i = 0; i < constraints.length; i++) {\n            var group = constraints[i];\n            if(group[axId]) {\n                // Always recalc if we're changing constrained ranges.\n                // Otherwise it's possible to violate the constraints by\n                // specifying arbitrary ranges for all axes in the group.\n                // this way some ranges may expand beyond what's specified,\n                // as they do at first draw, to satisfy the constraints.\n                flags.calc = true;\n                for(var groupAxId in group) {\n                    if(!rangesAltered[groupAxId]) {\n                        Axes.getFromId(gd, groupAxId)._constraintShrinkable = true;\n                    }\n                }\n            }\n        }\n    }\n\n    // If the autosize changed or height or width was explicitly specified,\n    // this triggers a redraw\n    // TODO: do we really need special aobj.height/width handling here?\n    // couldn't editType do this?\n    if(updateAutosize(gd) || aobj.height || aobj.width) flags.plot = true;\n\n    if(flags.plot || flags.calc) {\n        flags.layoutReplot = true;\n    }\n\n    // now all attribute mods are done, as are\n    // redo and undo so we can save them\n\n    return {\n        flags: flags,\n        rangesAltered: rangesAltered,\n        undoit: undoit,\n        redoit: redoit,\n        eventData: Lib.extendDeep({}, redoit)\n    };\n}\n\n/*\n * updateAutosize: we made a change, does it change the autosize result?\n * puts the new size into fullLayout\n * returns true if either height or width changed\n */\nfunction updateAutosize(gd) {\n    var fullLayout = gd._fullLayout;\n    var oldWidth = fullLayout.width;\n    var oldHeight = fullLayout.height;\n\n    // calculate autosizing\n    if(gd.layout.autosize) Plots.plotAutoSize(gd, gd.layout, fullLayout);\n\n    return (fullLayout.width !== oldWidth) || (fullLayout.height !== oldHeight);\n}\n\n/**\n * update: update trace and layout attributes of an existing plot\n *\n * @param {String | HTMLDivElement} gd\n *  the id or DOM element of the graph container div\n * @param {Object} traceUpdate\n *  attribute object `{astr1: val1, astr2: val2 ...}`\n *  corresponding to updates in the plot's traces\n * @param {Object} layoutUpdate\n *  attribute object `{astr1: val1, astr2: val2 ...}`\n *  corresponding to updates in the plot's layout\n * @param {Number[] | Number} [traces]\n *  integer or array of integers for the traces to alter (all if omitted)\n *\n */\nexports.update = function update(gd, traceUpdate, layoutUpdate, _traces) {\n    gd = Lib.getGraphDiv(gd);\n    helpers.clearPromiseQueue(gd);\n\n    if(gd.framework && gd.framework.isPolar) {\n        return Promise.resolve(gd);\n    }\n\n    if(!Lib.isPlainObject(traceUpdate)) traceUpdate = {};\n    if(!Lib.isPlainObject(layoutUpdate)) layoutUpdate = {};\n\n    if(Object.keys(traceUpdate).length) gd.changed = true;\n    if(Object.keys(layoutUpdate).length) gd.changed = true;\n\n    var traces = helpers.coerceTraceIndices(gd, _traces);\n\n    var restyleSpecs = _restyle(gd, Lib.extendFlat({}, traceUpdate), traces);\n    var restyleFlags = restyleSpecs.flags;\n\n    var relayoutSpecs = _relayout(gd, Lib.extendFlat({}, layoutUpdate));\n    var relayoutFlags = relayoutSpecs.flags;\n\n    // clear calcdata and/or axis types if required\n    if(restyleFlags.calc || relayoutFlags.calc) gd.calcdata = undefined;\n    if(restyleFlags.clearAxisTypes) helpers.clearAxisTypes(gd, traces, layoutUpdate);\n\n    // fill in redraw sequence\n    var seq = [];\n\n    if(restyleFlags.fullReplot && relayoutFlags.layoutReplot) {\n        var data = gd.data,\n            layout = gd.layout;\n\n        // clear existing data/layout on gd\n        // so that Plotly.plot doesn't try to extend them\n        gd.data = undefined;\n        gd.layout = undefined;\n\n        seq.push(function() { return exports.plot(gd, data, layout); });\n    }\n    else if(restyleFlags.fullReplot) {\n        seq.push(exports.plot);\n    }\n    else if(relayoutFlags.layoutReplot) {\n        seq.push(subroutines.layoutReplot);\n    }\n    else {\n        seq.push(Plots.previousPromises);\n        axRangeSupplyDefaultsByPass(gd, relayoutFlags, relayoutSpecs) || Plots.supplyDefaults(gd);\n\n        if(restyleFlags.style) seq.push(subroutines.doTraceStyle);\n        if(restyleFlags.colorbars) seq.push(subroutines.doColorBars);\n        if(relayoutFlags.legend) seq.push(subroutines.doLegend);\n        if(relayoutFlags.layoutstyle) seq.push(subroutines.layoutStyles);\n        if(relayoutFlags.axrange) addAxRangeSequence(seq, relayoutSpecs.rangesAltered);\n        if(relayoutFlags.ticks) seq.push(subroutines.doTicksRelayout);\n        if(relayoutFlags.modebar) seq.push(subroutines.doModeBar);\n        if(relayoutFlags.camera) seq.push(subroutines.doCamera);\n\n        seq.push(emitAfterPlot);\n    }\n\n    seq.push(Plots.rehover);\n\n    Queue.add(gd,\n        update, [gd, restyleSpecs.undoit, relayoutSpecs.undoit, restyleSpecs.traces],\n        update, [gd, restyleSpecs.redoit, relayoutSpecs.redoit, restyleSpecs.traces]\n    );\n\n    var plotDone = Lib.syncOrAsync(seq, gd);\n    if(!plotDone || !plotDone.then) plotDone = Promise.resolve(gd);\n\n    return plotDone.then(function() {\n        gd.emit('plotly_update', {\n            data: restyleSpecs.eventData,\n            layout: relayoutSpecs.eventData\n        });\n\n        return gd;\n    });\n};\n\n/**\n * Plotly.react:\n * A plot/update method that takes the full plot state (same API as plot/newPlot)\n * and diffs to determine the minimal update pathway\n *\n * @param {string id or DOM element} gd\n *      the id or DOM element of the graph container div\n * @param {array of objects} data\n *      array of traces, containing the data and display information for each trace\n * @param {object} layout\n *      object describing the overall display of the plot,\n *      all the stuff that doesn't pertain to any individual trace\n * @param {object} config\n *      configuration options (see ./plot_config.js for more info)\n *\n * OR\n *\n * @param {string id or DOM element} gd\n *      the id or DOM element of the graph container div\n * @param {object} figure\n *      object containing `data`, `layout`, `config`, and `frames` members\n *\n */\nexports.react = function(gd, data, layout, config) {\n    var frames, plotDone;\n\n    function addFrames() { return exports.addFrames(gd, frames); }\n\n    gd = Lib.getGraphDiv(gd);\n\n    var oldFullData = gd._fullData;\n    var oldFullLayout = gd._fullLayout;\n\n    // you can use this as the initial draw as well as to update\n    if(!Lib.isPlotDiv(gd) || !oldFullData || !oldFullLayout) {\n        plotDone = exports.newPlot(gd, data, layout, config);\n    }\n    else {\n\n        if(Lib.isPlainObject(data)) {\n            var obj = data;\n            data = obj.data;\n            layout = obj.layout;\n            config = obj.config;\n            frames = obj.frames;\n        }\n\n        var configChanged = false;\n        // assume that if there's a config at all, we're reacting to it too,\n        // and completely replace the previous config\n        if(config) {\n            var oldConfig = Lib.extendDeep({}, gd._context);\n            gd._context = undefined;\n            setPlotContext(gd, config);\n            configChanged = diffConfig(oldConfig, gd._context);\n        }\n\n        gd.data = data || [];\n        helpers.cleanData(gd.data);\n        gd.layout = layout || {};\n        helpers.cleanLayout(gd.layout);\n\n        // \"true\" skips updating calcdata and remapping arrays from calcTransforms,\n        // which supplyDefaults usually does at the end, but we may need to NOT do\n        // if the diff (which we haven't determined yet) says we'll recalc\n        Plots.supplyDefaults(gd, {skipUpdateCalc: true});\n\n        var newFullData = gd._fullData;\n        var newFullLayout = gd._fullLayout;\n        var immutable = newFullLayout.datarevision === undefined;\n\n        var restyleFlags = diffData(gd, oldFullData, newFullData, immutable);\n        var relayoutFlags = diffLayout(gd, oldFullLayout, newFullLayout, immutable);\n\n        // TODO: how to translate this part of relayout to Plotly.react?\n        // // Setting width or height to null must reset the graph's width / height\n        // // back to its initial value as computed during the first pass in Plots.plotAutoSize.\n        // //\n        // // To do so, we must manually set them back here using the _initialAutoSize cache.\n        // if(['width', 'height'].indexOf(ai) !== -1 && vi === null) {\n        //     fullLayout[ai] = gd._initialAutoSize[ai];\n        // }\n\n        if(updateAutosize(gd)) relayoutFlags.layoutReplot = true;\n\n        // clear calcdata if required\n        if(restyleFlags.calc || relayoutFlags.calc) gd.calcdata = undefined;\n        // otherwise do the calcdata updates and calcTransform array remaps that we skipped earlier\n        else Plots.supplyDefaultsUpdateCalc(gd.calcdata, newFullData);\n\n        // Note: what restyle/relayout use impliedEdits and clearAxisTypes for\n        // must be handled by the user when using Plotly.react.\n\n        // fill in redraw sequence\n        var seq = [];\n\n        if(frames) {\n            gd._transitionData = {};\n            Plots.createTransitionData(gd);\n            seq.push(addFrames);\n        }\n\n        if(restyleFlags.fullReplot || relayoutFlags.layoutReplot || configChanged) {\n            gd._fullLayout._skipDefaults = true;\n            seq.push(exports.plot);\n        }\n        else {\n            for(var componentType in relayoutFlags.arrays) {\n                var indices = relayoutFlags.arrays[componentType];\n                if(indices.length) {\n                    var drawOne = Registry.getComponentMethod(componentType, 'drawOne');\n                    if(drawOne !== Lib.noop) {\n                        for(var i = 0; i < indices.length; i++) {\n                            drawOne(gd, indices[i]);\n                        }\n                    }\n                    else {\n                        var draw = Registry.getComponentMethod(componentType, 'draw');\n                        if(draw === Lib.noop) {\n                            throw new Error('cannot draw components: ' + componentType);\n                        }\n                        draw(gd);\n                    }\n                }\n            }\n\n            seq.push(Plots.previousPromises);\n            if(restyleFlags.style) seq.push(subroutines.doTraceStyle);\n            if(restyleFlags.colorbars) seq.push(subroutines.doColorBars);\n            if(relayoutFlags.legend) seq.push(subroutines.doLegend);\n            if(relayoutFlags.layoutstyle) seq.push(subroutines.layoutStyles);\n            if(relayoutFlags.axrange) addAxRangeSequence(seq);\n            if(relayoutFlags.ticks) seq.push(subroutines.doTicksRelayout);\n            if(relayoutFlags.modebar) seq.push(subroutines.doModeBar);\n            if(relayoutFlags.camera) seq.push(subroutines.doCamera);\n            seq.push(emitAfterPlot);\n        }\n\n        seq.push(Plots.rehover);\n\n        plotDone = Lib.syncOrAsync(seq, gd);\n        if(!plotDone || !plotDone.then) plotDone = Promise.resolve(gd);\n    }\n\n    return plotDone.then(function() {\n        gd.emit('plotly_react', {\n            data: data,\n            layout: layout\n        });\n\n        return gd;\n    });\n\n};\n\nfunction diffData(gd, oldFullData, newFullData, immutable) {\n    if(oldFullData.length !== newFullData.length) {\n        return {\n            fullReplot: true,\n            calc: true\n        };\n    }\n\n    var flags = editTypes.traceFlags();\n    flags.arrays = {};\n    var i, trace;\n\n    function getTraceValObject(parts) {\n        return PlotSchema.getTraceValObject(trace, parts);\n    }\n\n    var diffOpts = {\n        getValObject: getTraceValObject,\n        flags: flags,\n        immutable: immutable,\n        gd: gd\n    };\n\n\n    var seenUIDs = {};\n\n    for(i = 0; i < oldFullData.length; i++) {\n        trace = newFullData[i]._fullInput;\n        if(Plots.hasMakesDataTransform(trace)) trace = newFullData[i];\n        if(seenUIDs[trace.uid]) continue;\n        seenUIDs[trace.uid] = 1;\n\n        getDiffFlags(oldFullData[i]._fullInput, trace, [], diffOpts);\n    }\n\n    if(flags.calc || flags.plot) {\n        flags.fullReplot = true;\n    }\n\n    return flags;\n}\n\nfunction diffLayout(gd, oldFullLayout, newFullLayout, immutable) {\n    var flags = editTypes.layoutFlags();\n    flags.arrays = {};\n\n    function getLayoutValObject(parts) {\n        return PlotSchema.getLayoutValObject(newFullLayout, parts);\n    }\n\n    var diffOpts = {\n        getValObject: getLayoutValObject,\n        flags: flags,\n        immutable: immutable,\n        gd: gd\n    };\n\n    getDiffFlags(oldFullLayout, newFullLayout, [], diffOpts);\n\n    if(flags.plot || flags.calc) {\n        flags.layoutReplot = true;\n    }\n\n    return flags;\n}\n\nfunction getDiffFlags(oldContainer, newContainer, outerparts, opts) {\n    var valObject, key;\n\n    var getValObject = opts.getValObject;\n    var flags = opts.flags;\n    var immutable = opts.immutable;\n    var inArray = opts.inArray;\n    var arrayIndex = opts.arrayIndex;\n\n    function changed() {\n        var editType = valObject.editType;\n        if(inArray && editType.indexOf('arraydraw') !== -1) {\n            Lib.pushUnique(flags.arrays[inArray], arrayIndex);\n            return;\n        }\n        editTypes.update(flags, valObject);\n    }\n\n    function valObjectCanBeDataArray(valObject) {\n        return valObject.valType === 'data_array' || valObject.arrayOk;\n    }\n\n    for(key in oldContainer) {\n        // short-circuit based on previous calls or previous keys that already maximized the pathway\n        if(flags.calc) return;\n\n        var oldVal = oldContainer[key];\n        var newVal = newContainer[key];\n\n        if(key.charAt(0) === '_' || typeof oldVal === 'function' || oldVal === newVal) continue;\n\n        // FIXME: ax.tick0 and dtick get filled in during plotting (except for geo subplots),\n        // and unlike other auto values they don't make it back into the input,\n        // so newContainer won't have them.\n        if((key === 'tick0' || key === 'dtick') && outerparts[0] !== 'geo') {\n            var tickMode = newContainer.tickmode;\n            if(tickMode === 'auto' || tickMode === 'array' || !tickMode) continue;\n        }\n        // FIXME: Similarly for axis ranges for 3D\n        // contourcarpet doesn't HAVE zmin/zmax, they're just auto-added. It needs them.\n        if(key === 'range' && newContainer.autorange) continue;\n        if((key === 'zmin' || key === 'zmax') && newContainer.type === 'contourcarpet') continue;\n\n        var parts = outerparts.concat(key);\n        valObject = getValObject(parts);\n\n        // in case type changed, we may not even *have* a valObject.\n        if(!valObject) continue;\n\n        if(valObject._compareAsJSON && JSON.stringify(oldVal) === JSON.stringify(newVal)) continue;\n\n        var valType = valObject.valType;\n        var i;\n\n        var canBeDataArray = valObjectCanBeDataArray(valObject);\n        var wasArray = Array.isArray(oldVal);\n        var nowArray = Array.isArray(newVal);\n\n        // hack for traces that modify the data in supplyDefaults, like\n        // converting 1D to 2D arrays, which will always create new objects\n        if(wasArray && nowArray) {\n            var inputKey = '_input_' + key;\n            var oldValIn = oldContainer[inputKey];\n            var newValIn = newContainer[inputKey];\n            if(Array.isArray(oldValIn) && oldValIn === newValIn) continue;\n        }\n\n        if(newVal === undefined) {\n            if(canBeDataArray && wasArray) flags.calc = true;\n            else changed();\n        }\n        else if(valObject._isLinkedToArray) {\n            var arrayEditIndices = [];\n            var extraIndices = false;\n            if(!inArray) flags.arrays[key] = arrayEditIndices;\n\n            var minLen = Math.min(oldVal.length, newVal.length);\n            var maxLen = Math.max(oldVal.length, newVal.length);\n            if(minLen !== maxLen) {\n                if(valObject.editType === 'arraydraw') {\n                    extraIndices = true;\n                }\n                else {\n                    changed();\n                    continue;\n                }\n            }\n\n            for(i = 0; i < minLen; i++) {\n                getDiffFlags(oldVal[i], newVal[i], parts.concat(i),\n                    // add array indices, but not if we're already in an array\n                    Lib.extendFlat({inArray: key, arrayIndex: i}, opts));\n            }\n\n            // put this at the end so that we know our collected array indices are sorted\n            // but the check for length changes happens up front so we can short-circuit\n            // diffing if appropriate\n            if(extraIndices) {\n                for(i = minLen; i < maxLen; i++) {\n                    arrayEditIndices.push(i);\n                }\n            }\n        }\n        else if(!valType && Lib.isPlainObject(oldVal)) {\n            getDiffFlags(oldVal, newVal, parts, opts);\n        }\n        else if(canBeDataArray) {\n            if(wasArray && nowArray) {\n\n                // don't try to diff two data arrays. If immutable we know the data changed,\n                // if not, assume it didn't and let `layout.datarevision` tell us if it did\n                if(immutable) {\n                    flags.calc = true;\n                }\n            }\n            else if(wasArray !== nowArray) {\n                flags.calc = true;\n            }\n            else changed();\n        }\n        else if(wasArray && nowArray) {\n            // info array, colorscale, 'any' - these are short, just stringify.\n            // I don't *think* that covers up any real differences post-validation, does it?\n            // otherwise we need to dive in 1 (info_array) or 2 (colorscale) levels and compare\n            // all elements.\n            if(oldVal.length !== newVal.length || String(oldVal) !== String(newVal)) {\n                changed();\n            }\n        }\n        else {\n            changed();\n        }\n    }\n\n    for(key in newContainer) {\n        if(!(key in oldContainer || key.charAt(0) === '_' || typeof newContainer[key] === 'function')) {\n            valObject = getValObject(outerparts.concat(key));\n\n            if(valObjectCanBeDataArray(valObject) && Array.isArray(newContainer[key])) {\n                flags.calc = true;\n                return;\n            }\n            else changed();\n        }\n    }\n}\n\n/*\n * simple diff for config - for now, just treat all changes as equivalent\n */\nfunction diffConfig(oldConfig, newConfig) {\n    var key;\n\n    for(key in oldConfig) {\n        if(key.charAt(0) === '_') continue;\n        var oldVal = oldConfig[key];\n        var newVal = newConfig[key];\n        if(oldVal !== newVal) {\n            if(Lib.isPlainObject(oldVal) && Lib.isPlainObject(newVal)) {\n                if(diffConfig(oldVal, newVal)) {\n                    return true;\n                }\n            }\n            else if(Array.isArray(oldVal) && Array.isArray(newVal)) {\n                if(oldVal.length !== newVal.length) {\n                    return true;\n                }\n                for(var i = 0; i < oldVal.length; i++) {\n                    if(oldVal[i] !== newVal[i]) {\n                        if(Lib.isPlainObject(oldVal[i]) && Lib.isPlainObject(newVal[i])) {\n                            if(diffConfig(oldVal[i], newVal[i])) {\n                                return true;\n                            }\n                        }\n                        else {\n                            return true;\n                        }\n                    }\n                }\n            }\n            else {\n                return true;\n            }\n        }\n    }\n}\n\n/**\n * Animate to a frame, sequence of frame, frame group, or frame definition\n *\n * @param {string id or DOM element} gd\n *      the id or DOM element of the graph container div\n *\n * @param {string or object or array of strings or array of objects} frameOrGroupNameOrFrameList\n *      a single frame, array of frames, or group to which to animate. The intent is\n *      inferred by the type of the input. Valid inputs are:\n *\n *      - string, e.g. 'groupname': animate all frames of a given `group` in the order\n *            in which they are defined via `Plotly.addFrames`.\n *\n *      - array of strings, e.g. ['frame1', frame2']: a list of frames by name to which\n *            to animate in sequence\n *\n *      - object: {data: ...}: a frame definition to which to animate. The frame is not\n *            and does not need to be added via `Plotly.addFrames`. It may contain any of\n *            the properties of a frame, including `data`, `layout`, and `traces`. The\n *            frame is used as provided and does not use the `baseframe` property.\n *\n *      - array of objects, e.g. [{data: ...}, {data: ...}]: a list of frame objects,\n *            each following the same rules as a single `object`.\n *\n * @param {object} animationOpts\n *      configuration for the animation\n */\nexports.animate = function(gd, frameOrGroupNameOrFrameList, animationOpts) {\n    gd = Lib.getGraphDiv(gd);\n\n    if(!Lib.isPlotDiv(gd)) {\n        throw new Error(\n            'This element is not a Plotly plot: ' + gd + '. It\\'s likely that you\\'ve failed ' +\n            'to create a plot before animating it. For more details, see ' +\n            'https://plot.ly/javascript/animations/'\n        );\n    }\n\n    var trans = gd._transitionData;\n\n    // This is the queue of frames that will be animated as soon as possible. They\n    // are popped immediately upon the *start* of a transition:\n    if(!trans._frameQueue) {\n        trans._frameQueue = [];\n    }\n\n    animationOpts = Plots.supplyAnimationDefaults(animationOpts);\n    var transitionOpts = animationOpts.transition;\n    var frameOpts = animationOpts.frame;\n\n    // Since frames are popped immediately, an empty queue only means all frames have\n    // *started* to transition, not that the animation is complete. To solve that,\n    // track a separate counter that increments at the same time as frames are added\n    // to the queue, but decrements only when the transition is complete.\n    if(trans._frameWaitingCnt === undefined) {\n        trans._frameWaitingCnt = 0;\n    }\n\n    function getTransitionOpts(i) {\n        if(Array.isArray(transitionOpts)) {\n            if(i >= transitionOpts.length) {\n                return transitionOpts[0];\n            } else {\n                return transitionOpts[i];\n            }\n        } else {\n            return transitionOpts;\n        }\n    }\n\n    function getFrameOpts(i) {\n        if(Array.isArray(frameOpts)) {\n            if(i >= frameOpts.length) {\n                return frameOpts[0];\n            } else {\n                return frameOpts[i];\n            }\n        } else {\n            return frameOpts;\n        }\n    }\n\n    // Execute a callback after the wrapper function has been called n times.\n    // This is used to defer the resolution until a transition has resovled *and*\n    // the frame has completed. If it's not done this way, then we get a race\n    // condition in which the animation might resolve before a transition is complete\n    // or vice versa.\n    function callbackOnNthTime(cb, n) {\n        var cnt = 0;\n        return function() {\n            if(cb && ++cnt === n) {\n                return cb();\n            }\n        };\n    }\n\n    return new Promise(function(resolve, reject) {\n        function discardExistingFrames() {\n            if(trans._frameQueue.length === 0) {\n                return;\n            }\n\n            while(trans._frameQueue.length) {\n                var next = trans._frameQueue.pop();\n                if(next.onInterrupt) {\n                    next.onInterrupt();\n                }\n            }\n\n            gd.emit('plotly_animationinterrupted', []);\n        }\n\n        function queueFrames(frameList) {\n            if(frameList.length === 0) return;\n\n            for(var i = 0; i < frameList.length; i++) {\n                var computedFrame;\n\n                if(frameList[i].type === 'byname') {\n                    // If it's a named frame, compute it:\n                    computedFrame = Plots.computeFrame(gd, frameList[i].name);\n                } else {\n                    // Otherwise we must have been given a simple object, so treat\n                    // the input itself as the computed frame.\n                    computedFrame = frameList[i].data;\n                }\n\n                var frameOpts = getFrameOpts(i);\n                var transitionOpts = getTransitionOpts(i);\n\n                // It doesn't make much sense for the transition duration to be greater than\n                // the frame duration, so limit it:\n                transitionOpts.duration = Math.min(transitionOpts.duration, frameOpts.duration);\n\n                var nextFrame = {\n                    frame: computedFrame,\n                    name: frameList[i].name,\n                    frameOpts: frameOpts,\n                    transitionOpts: transitionOpts,\n                };\n                if(i === frameList.length - 1) {\n                    // The last frame in this .animate call stores the promise resolve\n                    // and reject callbacks. This is how we ensure that the animation\n                    // loop (which may exist as a result of a *different* .animate call)\n                    // still resolves or rejecdts this .animate call's promise. once it's\n                    // complete.\n                    nextFrame.onComplete = callbackOnNthTime(resolve, 2);\n                    nextFrame.onInterrupt = reject;\n                }\n\n                trans._frameQueue.push(nextFrame);\n            }\n\n            // Set it as never having transitioned to a frame. This will cause the animation\n            // loop to immediately transition to the next frame (which, for immediate mode,\n            // is the first frame in the list since all others would have been discarded\n            // below)\n            if(animationOpts.mode === 'immediate') {\n                trans._lastFrameAt = -Infinity;\n            }\n\n            // Only it's not already running, start a RAF loop. This could be avoided in the\n            // case that there's only one frame, but it significantly complicated the logic\n            // and only sped things up by about 5% or so for a lorenz attractor simulation.\n            // It would be a fine thing to implement, but the benefit of that optimization\n            // doesn't seem worth the extra complexity.\n            if(!trans._animationRaf) {\n                beginAnimationLoop();\n            }\n        }\n\n        function stopAnimationLoop() {\n            gd.emit('plotly_animated');\n\n            // Be sure to unset also since it's how we know whether a loop is already running:\n            window.cancelAnimationFrame(trans._animationRaf);\n            trans._animationRaf = null;\n        }\n\n        function nextFrame() {\n            if(trans._currentFrame && trans._currentFrame.onComplete) {\n                // Execute the callback and unset it to ensure it doesn't\n                // accidentally get called twice\n                trans._currentFrame.onComplete();\n            }\n\n            var newFrame = trans._currentFrame = trans._frameQueue.shift();\n\n            if(newFrame) {\n                // Since it's sometimes necessary to do deep digging into frame data,\n                // we'll consider it not 100% impossible for nulls or numbers to sneak through,\n                // so check when casting the name, just to be absolutely certain:\n                var stringName = newFrame.name ? newFrame.name.toString() : null;\n                gd._fullLayout._currentFrame = stringName;\n\n                trans._lastFrameAt = Date.now();\n                trans._timeToNext = newFrame.frameOpts.duration;\n\n                // This is simply called and it's left to .transition to decide how to manage\n                // interrupting current transitions. That means we don't need to worry about\n                // how it resolves or what happens after this:\n                Plots.transition(gd,\n                    newFrame.frame.data,\n                    newFrame.frame.layout,\n                    helpers.coerceTraceIndices(gd, newFrame.frame.traces),\n                    newFrame.frameOpts,\n                    newFrame.transitionOpts\n                ).then(function() {\n                    if(newFrame.onComplete) {\n                        newFrame.onComplete();\n                    }\n\n                });\n\n                gd.emit('plotly_animatingframe', {\n                    name: stringName,\n                    frame: newFrame.frame,\n                    animation: {\n                        frame: newFrame.frameOpts,\n                        transition: newFrame.transitionOpts,\n                    }\n                });\n            } else {\n                // If there are no more frames, then stop the RAF loop:\n                stopAnimationLoop();\n            }\n        }\n\n        function beginAnimationLoop() {\n            gd.emit('plotly_animating');\n\n            // If no timer is running, then set last frame = long ago so that the next\n            // frame is immediately transitioned:\n            trans._lastFrameAt = -Infinity;\n            trans._timeToNext = 0;\n            trans._runningTransitions = 0;\n            trans._currentFrame = null;\n\n            var doFrame = function() {\n                // This *must* be requested before nextFrame since nextFrame may decide\n                // to cancel it if there's nothing more to animated:\n                trans._animationRaf = window.requestAnimationFrame(doFrame);\n\n                // Check if we're ready for a new frame:\n                if(Date.now() - trans._lastFrameAt > trans._timeToNext) {\n                    nextFrame();\n                }\n            };\n\n            doFrame();\n        }\n\n        // This is an animate-local counter that helps match up option input list\n        // items with the particular frame.\n        var configCounter = 0;\n        function setTransitionConfig(frame) {\n            if(Array.isArray(transitionOpts)) {\n                if(configCounter >= transitionOpts.length) {\n                    frame.transitionOpts = transitionOpts[configCounter];\n                } else {\n                    frame.transitionOpts = transitionOpts[0];\n                }\n            } else {\n                frame.transitionOpts = transitionOpts;\n            }\n            configCounter++;\n            return frame;\n        }\n\n        // Disambiguate what's sort of frames have been received\n        var i, frame;\n        var frameList = [];\n        var allFrames = frameOrGroupNameOrFrameList === undefined || frameOrGroupNameOrFrameList === null;\n        var isFrameArray = Array.isArray(frameOrGroupNameOrFrameList);\n        var isSingleFrame = !allFrames && !isFrameArray && Lib.isPlainObject(frameOrGroupNameOrFrameList);\n\n        if(isSingleFrame) {\n            // In this case, a simple object has been passed to animate.\n            frameList.push({\n                type: 'object',\n                data: setTransitionConfig(Lib.extendFlat({}, frameOrGroupNameOrFrameList))\n            });\n        } else if(allFrames || ['string', 'number'].indexOf(typeof frameOrGroupNameOrFrameList) !== -1) {\n            // In this case, null or undefined has been passed so that we want to\n            // animate *all* currently defined frames\n            for(i = 0; i < trans._frames.length; i++) {\n                frame = trans._frames[i];\n\n                if(!frame) continue;\n\n                if(allFrames || String(frame.group) === String(frameOrGroupNameOrFrameList)) {\n                    frameList.push({\n                        type: 'byname',\n                        name: String(frame.name),\n                        data: setTransitionConfig({name: frame.name})\n                    });\n                }\n            }\n        } else if(isFrameArray) {\n            for(i = 0; i < frameOrGroupNameOrFrameList.length; i++) {\n                var frameOrName = frameOrGroupNameOrFrameList[i];\n                if(['number', 'string'].indexOf(typeof frameOrName) !== -1) {\n                    frameOrName = String(frameOrName);\n                    // In this case, there's an array and this frame is a string name:\n                    frameList.push({\n                        type: 'byname',\n                        name: frameOrName,\n                        data: setTransitionConfig({name: frameOrName})\n                    });\n                } else if(Lib.isPlainObject(frameOrName)) {\n                    frameList.push({\n                        type: 'object',\n                        data: setTransitionConfig(Lib.extendFlat({}, frameOrName))\n                    });\n                }\n            }\n        }\n\n        // Verify that all of these frames actually exist; return and reject if not:\n        for(i = 0; i < frameList.length; i++) {\n            frame = frameList[i];\n            if(frame.type === 'byname' && !trans._frameHash[frame.data.name]) {\n                Lib.warn('animate failure: frame not found: \"' + frame.data.name + '\"');\n                reject();\n                return;\n            }\n        }\n\n        // If the mode is either next or immediate, then all currently queued frames must\n        // be dumped and the corresponding .animate promises rejected.\n        if(['next', 'immediate'].indexOf(animationOpts.mode) !== -1) {\n            discardExistingFrames();\n        }\n\n        if(animationOpts.direction === 'reverse') {\n            frameList.reverse();\n        }\n\n        var currentFrame = gd._fullLayout._currentFrame;\n        if(currentFrame && animationOpts.fromcurrent) {\n            var idx = -1;\n            for(i = 0; i < frameList.length; i++) {\n                frame = frameList[i];\n                if(frame.type === 'byname' && frame.name === currentFrame) {\n                    idx = i;\n                    break;\n                }\n            }\n\n            if(idx > 0 && idx < frameList.length - 1) {\n                var filteredFrameList = [];\n                for(i = 0; i < frameList.length; i++) {\n                    frame = frameList[i];\n                    if(frameList[i].type !== 'byname' || i > idx) {\n                        filteredFrameList.push(frame);\n                    }\n                }\n                frameList = filteredFrameList;\n            }\n        }\n\n        if(frameList.length > 0) {\n            queueFrames(frameList);\n        } else {\n            // This is the case where there were simply no frames. It's a little strange\n            // since there's not much to do:\n            gd.emit('plotly_animated');\n            resolve();\n        }\n    });\n};\n\n/**\n * Register new frames\n *\n * @param {string id or DOM element} gd\n *      the id or DOM element of the graph container div\n *\n * @param {array of objects} frameList\n *      list of frame definitions, in which each object includes any of:\n *      - name: {string} name of frame to add\n *      - data: {array of objects} trace data\n *      - layout {object} layout definition\n *      - traces {array} trace indices\n *      - baseframe {string} name of frame from which this frame gets defaults\n *\n *  @param {array of integers} indices\n *      an array of integer indices matching the respective frames in `frameList`. If not\n *      provided, an index will be provided in serial order. If already used, the frame\n *      will be overwritten.\n */\nexports.addFrames = function(gd, frameList, indices) {\n    gd = Lib.getGraphDiv(gd);\n\n    if(frameList === null || frameList === undefined) {\n        return Promise.resolve();\n    }\n\n    if(!Lib.isPlotDiv(gd)) {\n        throw new Error(\n            'This element is not a Plotly plot: ' + gd + '. It\\'s likely that you\\'ve failed ' +\n            'to create a plot before adding frames. For more details, see ' +\n            'https://plot.ly/javascript/animations/'\n        );\n    }\n\n    var i, frame, j, idx;\n    var _frames = gd._transitionData._frames;\n    var _frameHash = gd._transitionData._frameHash;\n\n\n    if(!Array.isArray(frameList)) {\n        throw new Error('addFrames failure: frameList must be an Array of frame definitions' + frameList);\n    }\n\n    // Create a sorted list of insertions since we run into lots of problems if these\n    // aren't in ascending order of index:\n    //\n    // Strictly for sorting. Make sure this is guaranteed to never collide with any\n    // already-exisisting indices:\n    var bigIndex = _frames.length + frameList.length * 2;\n\n    var insertions = [];\n    var _frameHashLocal = {};\n    for(i = frameList.length - 1; i >= 0; i--) {\n        if(!Lib.isPlainObject(frameList[i])) continue;\n\n        // The entire logic for checking for this type of name collision can be removed once we migrate to ES6 and\n        // use a Map instead of an Object instance, as Map keys aren't converted to strings.\n        var lookupName = frameList[i].name;\n        var name = (_frameHash[lookupName] || _frameHashLocal[lookupName] || {}).name;\n        var newName = frameList[i].name;\n        var collisionPresent = _frameHash[name] || _frameHashLocal[name];\n\n        if(name && newName && typeof newName === 'number' && collisionPresent && numericNameWarningCount < numericNameWarningCountLimit) {\n            numericNameWarningCount++;\n\n            Lib.warn('addFrames: overwriting frame \"' + (_frameHash[name] || _frameHashLocal[name]).name +\n                '\" with a frame whose name of type \"number\" also equates to \"' +\n                name + '\". This is valid but may potentially lead to unexpected ' +\n                'behavior since all plotly.js frame names are stored internally ' +\n                'as strings.');\n\n            if(numericNameWarningCount === numericNameWarningCountLimit) {\n                Lib.warn('addFrames: This API call has yielded too many of these warnings. ' +\n                    'For the rest of this call, further warnings about numeric frame ' +\n                    'names will be suppressed.');\n            }\n        }\n\n        _frameHashLocal[lookupName] = {name: lookupName};\n\n        insertions.push({\n            frame: Plots.supplyFrameDefaults(frameList[i]),\n            index: (indices && indices[i] !== undefined && indices[i] !== null) ? indices[i] : bigIndex + i\n        });\n    }\n\n    // Sort this, taking note that undefined insertions end up at the end:\n    insertions.sort(function(a, b) {\n        if(a.index > b.index) return -1;\n        if(a.index < b.index) return 1;\n        return 0;\n    });\n\n    var ops = [];\n    var revops = [];\n    var frameCount = _frames.length;\n\n    for(i = insertions.length - 1; i >= 0; i--) {\n        frame = insertions[i].frame;\n\n        if(typeof frame.name === 'number') {\n            Lib.warn('Warning: addFrames accepts frames with numeric names, but the numbers are' +\n                'implicitly cast to strings');\n\n        }\n\n        if(!frame.name) {\n            // Repeatedly assign a default name, incrementing the counter each time until\n            // we get a name that's not in the hashed lookup table:\n            while(_frameHash[(frame.name = 'frame ' + gd._transitionData._counter++)]);\n        }\n\n        if(_frameHash[frame.name]) {\n            // If frame is present, overwrite its definition:\n            for(j = 0; j < _frames.length; j++) {\n                if((_frames[j] || {}).name === frame.name) break;\n            }\n            ops.push({type: 'replace', index: j, value: frame});\n            revops.unshift({type: 'replace', index: j, value: _frames[j]});\n        } else {\n            // Otherwise insert it at the end of the list:\n            idx = Math.max(0, Math.min(insertions[i].index, frameCount));\n\n            ops.push({type: 'insert', index: idx, value: frame});\n            revops.unshift({type: 'delete', index: idx});\n            frameCount++;\n        }\n    }\n\n    var undoFunc = Plots.modifyFrames,\n        redoFunc = Plots.modifyFrames,\n        undoArgs = [gd, revops],\n        redoArgs = [gd, ops];\n\n    if(Queue) Queue.add(gd, undoFunc, undoArgs, redoFunc, redoArgs);\n\n    return Plots.modifyFrames(gd, ops);\n};\n\n/**\n * Delete frame\n *\n * @param {string id or DOM element} gd\n *      the id or DOM element of the graph container div\n *\n * @param {array of integers} frameList\n *      list of integer indices of frames to be deleted\n */\nexports.deleteFrames = function(gd, frameList) {\n    gd = Lib.getGraphDiv(gd);\n\n    if(!Lib.isPlotDiv(gd)) {\n        throw new Error('This element is not a Plotly plot: ' + gd);\n    }\n\n    var i, idx;\n    var _frames = gd._transitionData._frames;\n    var ops = [];\n    var revops = [];\n\n    if(!frameList) {\n        frameList = [];\n        for(i = 0; i < _frames.length; i++) {\n            frameList.push(i);\n        }\n    }\n\n    frameList = frameList.slice(0);\n    frameList.sort();\n\n    for(i = frameList.length - 1; i >= 0; i--) {\n        idx = frameList[i];\n        ops.push({type: 'delete', index: idx});\n        revops.unshift({type: 'insert', index: idx, value: _frames[idx]});\n    }\n\n    var undoFunc = Plots.modifyFrames,\n        redoFunc = Plots.modifyFrames,\n        undoArgs = [gd, revops],\n        redoArgs = [gd, ops];\n\n    if(Queue) Queue.add(gd, undoFunc, undoArgs, redoFunc, redoArgs);\n\n    return Plots.modifyFrames(gd, ops);\n};\n\n/**\n * Purge a graph container div back to its initial pre-Plotly.plot state\n *\n * @param {string id or DOM element} gd\n *      the id or DOM element of the graph container div\n */\nexports.purge = function purge(gd) {\n    gd = Lib.getGraphDiv(gd);\n\n    var fullLayout = gd._fullLayout || {};\n    var fullData = gd._fullData || [];\n\n    // remove gl contexts\n    Plots.cleanPlot([], {}, fullData, fullLayout);\n\n    // purge properties\n    Plots.purge(gd);\n\n    // purge event emitter methods\n    Events.purge(gd);\n\n    // remove plot container\n    if(fullLayout._container) fullLayout._container.remove();\n\n    // in contrast to Plotly.Plots.purge which does NOT clear _context!\n    delete gd._context;\n\n    return gd;\n};\n\n// -------------------------------------------------------\n// makePlotFramework: Create the plot container and axes\n// -------------------------------------------------------\nfunction makePlotFramework(gd) {\n    var gd3 = d3.select(gd);\n    var fullLayout = gd._fullLayout;\n\n    // Plot container\n    fullLayout._container = gd3.selectAll('.plot-container').data([0]);\n    fullLayout._container.enter().insert('div', ':first-child')\n        .classed('plot-container', true)\n        .classed('plotly', true);\n\n    // Make the svg container\n    fullLayout._paperdiv = fullLayout._container.selectAll('.svg-container').data([0]);\n    fullLayout._paperdiv.enter().append('div')\n        .classed('svg-container', true)\n        .style('position', 'relative');\n\n    // Make the graph containers\n    // start fresh each time we get here, so we know the order comes out\n    // right, rather than enter/exit which can muck up the order\n    // TODO: sort out all the ordering so we don't have to\n    // explicitly delete anything\n    // FIXME: parcoords reuses this object, not the best pattern\n    fullLayout._glcontainer = fullLayout._paperdiv.selectAll('.gl-container')\n        .data([{}]);\n\n    fullLayout._glcontainer.enter().append('div')\n        .classed('gl-container', true);\n\n    fullLayout._paperdiv.selectAll('.main-svg').remove();\n\n    fullLayout._paper = fullLayout._paperdiv.insert('svg', ':first-child')\n        .classed('main-svg', true);\n\n    fullLayout._toppaper = fullLayout._paperdiv.append('svg')\n        .classed('main-svg', true);\n\n    if(!fullLayout._uid) {\n        var otherUids = {};\n        d3.selectAll('defs').each(function() {\n            if(this.id) otherUids[this.id.split('-')[1]] = 1;\n        });\n        fullLayout._uid = Lib.randstr(otherUids);\n    }\n\n    fullLayout._paperdiv.selectAll('.main-svg')\n        .attr(xmlnsNamespaces.svgAttrs);\n\n    fullLayout._defs = fullLayout._paper.append('defs')\n        .attr('id', 'defs-' + fullLayout._uid);\n\n    fullLayout._clips = fullLayout._defs.append('g')\n        .classed('clips', true);\n\n    fullLayout._topdefs = fullLayout._toppaper.append('defs')\n        .attr('id', 'topdefs-' + fullLayout._uid);\n\n    fullLayout._topclips = fullLayout._topdefs.append('g')\n        .classed('clips', true);\n\n    fullLayout._bgLayer = fullLayout._paper.append('g')\n        .classed('bglayer', true);\n\n    fullLayout._draggers = fullLayout._paper.append('g')\n        .classed('draglayer', true);\n\n    // lower shape/image layer - note that this is behind\n    // all subplots data/grids but above the backgrounds\n    // except inset subplots, whose backgrounds are drawn\n    // inside their own group so that they appear above\n    // the data for the main subplot\n    // lower shapes and images which are fully referenced to\n    // a subplot still get drawn within the subplot's group\n    // so they will work correctly on insets\n    var layerBelow = fullLayout._paper.append('g')\n        .classed('layer-below', true);\n    fullLayout._imageLowerLayer = layerBelow.append('g')\n        .classed('imagelayer', true);\n    fullLayout._shapeLowerLayer = layerBelow.append('g')\n        .classed('shapelayer', true);\n\n    // single cartesian layer for the whole plot\n    fullLayout._cartesianlayer = fullLayout._paper.append('g').classed('cartesianlayer', true);\n\n    // single polar layer for the whole plot\n    fullLayout._polarlayer = fullLayout._paper.append('g').classed('polarlayer', true);\n\n    // single ternary layer for the whole plot\n    fullLayout._ternarylayer = fullLayout._paper.append('g').classed('ternarylayer', true);\n\n    // single geo layer for the whole plot\n    fullLayout._geolayer = fullLayout._paper.append('g').classed('geolayer', true);\n\n    // single pie layer for the whole plot\n    fullLayout._pielayer = fullLayout._paper.append('g').classed('pielayer', true);\n\n    // fill in image server scrape-svg\n    fullLayout._glimages = fullLayout._paper.append('g').classed('glimages', true);\n\n    // lastly upper shapes, info (legend, annotations) and hover layers go on top\n    // these are in a different svg element normally, but get collapsed into a single\n    // svg when exporting (after inserting 3D)\n    // upper shapes/images are only those drawn above the whole plot, including subplots\n    var layerAbove = fullLayout._toppaper.append('g')\n        .classed('layer-above', true);\n    fullLayout._imageUpperLayer = layerAbove.append('g')\n        .classed('imagelayer', true);\n    fullLayout._shapeUpperLayer = layerAbove.append('g')\n        .classed('shapelayer', true);\n\n    fullLayout._infolayer = fullLayout._toppaper.append('g').classed('infolayer', true);\n    fullLayout._menulayer = fullLayout._toppaper.append('g').classed('menulayer', true);\n    fullLayout._zoomlayer = fullLayout._toppaper.append('g').classed('zoomlayer', true);\n    fullLayout._hoverlayer = fullLayout._toppaper.append('g').classed('hoverlayer', true);\n\n    gd.emit('plotly_framework');\n}\n\n},{\"../components/color\":570,\"../components/colorbar/connect\":572,\"../components/drawing\":595,\"../constants/xmlns_namespaces\":674,\"../lib\":696,\"../lib/events\":684,\"../lib/queue\":712,\"../lib/svg_text_utils\":721,\"../plots/cartesian/axes\":745,\"../plots/cartesian/constants\":751,\"../plots/cartesian/graph_interact\":755,\"../plots/plots\":809,\"../plots/polar/legacy\":817,\"../registry\":828,\"./edit_types\":728,\"./helpers\":729,\"./manage_arrays\":731,\"./plot_config\":733,\"./plot_schema\":734,\"./subroutines\":736,\"d3\":148,\"fast-isnumeric\":214,\"has-hover\":393}],733:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/**\n * This will be transferred over to gd and overridden by\n * config args to Plotly.plot.\n *\n * The defaults are the appropriate settings for plotly.js,\n * so we get the right experience without any config argument.\n */\n\nmodule.exports = {\n\n    // no interactivity, for export or image generation\n    staticPlot: false,\n\n    // base URL for the 'Edit in Chart Studio' (aka sendDataToCloud) mode bar button\n    // and the showLink/sendData on-graph link\n    plotlyServerURL: 'https://plot.ly',\n\n    /*\n     * we can edit titles, move annotations, etc - sets all pieces of `edits`\n     * unless a separate `edits` config item overrides individual parts\n     */\n    editable: false,\n    edits: {\n        /*\n         * annotationPosition: the main anchor of the annotation, which is the\n         * text (if no arrow) or the arrow (which drags the whole thing leaving\n         * the arrow length & direction unchanged)\n         */\n        annotationPosition: false,\n        // just for annotations with arrows, change the length  and direction of the arrow\n        annotationTail: false,\n        annotationText: false,\n        axisTitleText: false,\n        colorbarPosition: false,\n        colorbarTitleText: false,\n        legendPosition: false,\n        // edit the trace name fields from the legend\n        legendText: false,\n        shapePosition: false,\n        // the global `layout.title`\n        titleText: false\n    },\n\n    /*\n     * DO autosize once regardless of layout.autosize\n     * (use default width or height values otherwise)\n     */\n    autosizable: false,\n\n    /*\n     * responsive: determines whether to change the layout size when window is resized.\n     * In v2, this option will be removed and will always be true.\n     */\n    responsive: false,\n\n    // set the length of the undo/redo queue\n    queueLength: 0,\n\n    // if we DO autosize, do we fill the container or the screen?\n    fillFrame: false,\n\n    // if we DO autosize, set the frame margins in percents of plot size\n    frameMargins: 0,\n\n    // mousewheel or two-finger scroll zooms the plot\n    scrollZoom: false,\n\n    // double click interaction (false, 'reset', 'autosize' or 'reset+autosize')\n    doubleClick: 'reset+autosize',\n\n    // new users see some hints about interactivity\n    showTips: true,\n\n    // enable axis pan/zoom drag handles\n    showAxisDragHandles: true,\n\n    /*\n     * enable direct range entry at the pan/zoom drag points\n     * (drag handles must be enabled above)\n     */\n    showAxisRangeEntryBoxes: true,\n\n    // link to open this plot in plotly\n    showLink: false,\n\n    // if we show a link, does it contain data or just link to a plotly file?\n    sendData: true,\n\n    // text appearing in the sendData link\n    linkText: 'Edit chart',\n\n    // false or function adding source(s) to linkText <text>\n    showSources: false,\n\n    // display the mode bar (true, false, or 'hover')\n    displayModeBar: 'hover',\n\n    /*\n     * remove mode bar button by name\n     * (see ../components/modebar/buttons.js for the list of names)\n     */\n    modeBarButtonsToRemove: [],\n\n    /*\n     * add mode bar button using config objects\n     * (see ./components/modebar/buttons.js for list of arguments)\n     */\n    modeBarButtonsToAdd: [],\n\n    /*\n     * fully custom mode bar buttons as nested array,\n     * where the outer arrays represents button groups, and\n     * the inner arrays have buttons config objects or names of default buttons\n     * (see ../components/modebar/buttons.js for more info)\n     */\n    modeBarButtons: false,\n\n    // statically override options for toImage modebar button\n    // allowed keys are format, filename, width, height, scale\n    // see ../components/modebar/buttons.js\n    toImageButtonOptions: {},\n\n    // add the plotly logo on the end of the mode bar\n    displaylogo: true,\n\n    // increase the pixel ratio for Gl plot images\n    plotGlPixelRatio: 2,\n\n    /*\n     * background setting function\n     * 'transparent' sets the background `layout.paper_color`\n     * 'opaque' blends bg color with white ensuring an opaque background\n     * or any other custom function of gd\n     */\n    setBackground: 'transparent',\n\n    // URL to topojson files used in geo charts\n    topojsonURL: 'https://cdn.plot.ly/',\n\n    /*\n     * Mapbox access token (required to plot mapbox trace types)\n     * If using an Mapbox Atlas server, set this option to '',\n     * so that plotly.js won't attempt to authenticate to the public Mapbox server.\n     */\n    mapboxAccessToken: null,\n\n    /*\n     * Turn all console logging on or off (errors will be thrown)\n     * This should ONLY be set via Plotly.setPlotConfig\n     * 0: no logs\n     * 1: warnings and errors, but not informational messages\n     * 2: verbose logs\n     */\n    logging: 1,\n\n    /*\n     * Set global transform to be applied to all traces with no\n     * specification needed\n     */\n    globalTransforms: [],\n\n    /*\n     * Which localization should we use?\n     * Should be a string like 'en' or 'en-US'.\n     */\n    locale: 'en-US',\n\n    /*\n     * Localization definitions\n     * Locales can be provided either here (specific to one chart) or globally\n     * by registering them as modules.\n     * Should be an object of objects {locale: {dictionary: {...}, format: {...}}}\n     * {\n     *     da: {\n     *         dictionary: {'Reset axes': 'Nulstil aksler', ...},\n     *         format: {months: [...], shortMonths: [...]}\n     *     },\n     *     ...\n     * }\n     * All parts are optional. When looking for translation or format fields, we\n     * look first for an exact match in a config locale, then in a registered\n     * module. If those fail, we strip off any regionalization ('en-US' -> 'en')\n     * and try each (config, registry) again. The final fallback for translation\n     * is untranslated (which is US English) and for formats is the base English\n     * (the only consequence being the last fallback date format %x is DD/MM/YYYY\n     * instead of MM/DD/YYYY). Currently `grouping` and `currency` are ignored\n     * for our automatic number formatting, but can be used in custom formats.\n     */\n    locales: {}\n};\n\n},{}],734:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../registry');\nvar Lib = _dereq_('../lib');\n\nvar baseAttributes = _dereq_('../plots/attributes');\nvar baseLayoutAttributes = _dereq_('../plots/layout_attributes');\nvar frameAttributes = _dereq_('../plots/frame_attributes');\nvar animationAttributes = _dereq_('../plots/animation_attributes');\n\n// polar attributes are not part of the Registry yet\nvar polarAreaAttrs = _dereq_('../plots/polar/legacy/area_attributes');\nvar polarAxisAttrs = _dereq_('../plots/polar/legacy/axis_attributes');\n\nvar editTypes = _dereq_('./edit_types');\n\nvar extendFlat = Lib.extendFlat;\nvar extendDeepAll = Lib.extendDeepAll;\nvar isPlainObject = Lib.isPlainObject;\n\nvar IS_SUBPLOT_OBJ = '_isSubplotObj';\nvar IS_LINKED_TO_ARRAY = '_isLinkedToArray';\nvar ARRAY_ATTR_REGEXPS = '_arrayAttrRegexps';\nvar DEPRECATED = '_deprecated';\nvar UNDERSCORE_ATTRS = [IS_SUBPLOT_OBJ, IS_LINKED_TO_ARRAY, ARRAY_ATTR_REGEXPS, DEPRECATED];\n\nexports.IS_SUBPLOT_OBJ = IS_SUBPLOT_OBJ;\nexports.IS_LINKED_TO_ARRAY = IS_LINKED_TO_ARRAY;\nexports.DEPRECATED = DEPRECATED;\nexports.UNDERSCORE_ATTRS = UNDERSCORE_ATTRS;\n\n/** Outputs the full plotly.js plot schema\n *\n * @return {object}\n *  - defs\n *  - traces\n *  - layout\n *  - transforms\n *  - frames\n *  - animations\n *  - config (coming soon ...)\n */\nexports.get = function() {\n    var traces = {};\n\n    Registry.allTypes.concat('area').forEach(function(type) {\n        traces[type] = getTraceAttributes(type);\n    });\n\n    var transforms = {};\n\n    Object.keys(Registry.transformsRegistry).forEach(function(type) {\n        transforms[type] = getTransformAttributes(type);\n    });\n\n    return {\n        defs: {\n            valObjects: Lib.valObjectMeta,\n            metaKeys: UNDERSCORE_ATTRS.concat(['description', 'role', 'editType', 'impliedEdits']),\n            editType: {\n                traces: editTypes.traces,\n                layout: editTypes.layout\n            },\n            impliedEdits: {\n                \n            }\n        },\n\n        traces: traces,\n        layout: getLayoutAttributes(),\n\n        transforms: transforms,\n\n        frames: getFramesAttributes(),\n        animation: formatAttributes(animationAttributes)\n    };\n};\n\n/**\n * Crawl the attribute tree, recursively calling a callback function\n *\n * @param {object} attrs\n *  The node of the attribute tree (e.g. the root) from which recursion originates\n * @param {Function} callback\n *  A callback function with the signature:\n *          @callback callback\n *          @param {object} attr an attribute\n *          @param {String} attrName name string\n *          @param {object[]} attrs all the attributes\n *          @param {Number} level the recursion level, 0 at the root\n *          @param {String} fullAttrString full attribute name (ie 'marker.line')\n * @param {Number} [specifiedLevel]\n *  The level in the tree, in order to let the callback function detect descend or backtrack,\n *  typically unsupplied (implied 0), just used by the self-recursive call.\n *  The necessity arises because the tree traversal is not controlled by callback return values.\n *  The decision to not use callback return values for controlling tree pruning arose from\n *  the goal of keeping the crawler backwards compatible. Observe that one of the pruning conditions\n *  precedes the callback call.\n * @param {string} [attrString]\n *  the path to the current attribute, as an attribute string (ie 'marker.line')\n *  typically unsupplied, but you may supply it if you want to disambiguate which attrs tree you\n *  are starting from\n *\n * @return {object} transformOut\n *  copy of transformIn that contains attribute defaults\n */\nexports.crawl = function(attrs, callback, specifiedLevel, attrString) {\n    var level = specifiedLevel || 0;\n    attrString = attrString || '';\n\n    Object.keys(attrs).forEach(function(attrName) {\n        var attr = attrs[attrName];\n\n        if(UNDERSCORE_ATTRS.indexOf(attrName) !== -1) return;\n\n        var fullAttrString = (attrString ? attrString + '.' : '') + attrName;\n        callback(attr, attrName, attrs, level, fullAttrString);\n\n        if(exports.isValObject(attr)) return;\n\n        if(isPlainObject(attr) && attrName !== 'impliedEdits') {\n            exports.crawl(attr, callback, level + 1, fullAttrString);\n        }\n    });\n};\n\n/** Is object a value object (or a container object)?\n *\n * @param {object} obj\n * @return {boolean}\n *  returns true for a valid value object and\n *  false for tree nodes in the attribute hierarchy\n */\nexports.isValObject = function(obj) {\n    return obj && obj.valType !== undefined;\n};\n\n/**\n * Find all data array attributes in a given trace object - including\n * `arrayOk` attributes.\n *\n * @param {object} trace\n *  full trace object that contains a reference to `_module.attributes`\n *\n * @return {array} arrayAttributes\n *  list of array attributes for the given trace\n */\nexports.findArrayAttributes = function(trace) {\n    var arrayAttributes = [];\n    var stack = [];\n    var isArrayStack = [];\n    var baseContainer, baseAttrName;\n\n    function callback(attr, attrName, attrs, level) {\n        stack = stack.slice(0, level).concat([attrName]);\n        isArrayStack = isArrayStack.slice(0, level).concat([attr && attr._isLinkedToArray]);\n\n        var splittableAttr = (\n            attr &&\n            (attr.valType === 'data_array' || attr.arrayOk === true) &&\n            !(stack[level - 1] === 'colorbar' && (attrName === 'ticktext' || attrName === 'tickvals'))\n        );\n\n        // Manually exclude 'colorbar.tickvals' and 'colorbar.ticktext' for now\n        // which are declared as `valType: 'data_array'` but scale independently of\n        // the coordinate arrays.\n        //\n        // Down the road, we might want to add a schema field (e.g `uncorrelatedArray: true`)\n        // to distinguish attributes of the likes.\n\n        if(!splittableAttr) return;\n\n        crawlIntoTrace(baseContainer, 0, '');\n    }\n\n    function crawlIntoTrace(container, i, astrPartial) {\n        var item = container[stack[i]];\n        var newAstrPartial = astrPartial + stack[i];\n        if(i === stack.length - 1) {\n            if(Lib.isArrayOrTypedArray(item)) {\n                arrayAttributes.push(baseAttrName + newAstrPartial);\n            }\n        }\n        else {\n            if(isArrayStack[i]) {\n                if(Array.isArray(item)) {\n                    for(var j = 0; j < item.length; j++) {\n                        if(Lib.isPlainObject(item[j])) {\n                            crawlIntoTrace(item[j], i + 1, newAstrPartial + '[' + j + '].');\n                        }\n                    }\n                }\n            }\n            else if(Lib.isPlainObject(item)) {\n                crawlIntoTrace(item, i + 1, newAstrPartial + '.');\n            }\n        }\n    }\n\n    baseContainer = trace;\n    baseAttrName = '';\n    exports.crawl(baseAttributes, callback);\n    if(trace._module && trace._module.attributes) {\n        exports.crawl(trace._module.attributes, callback);\n    }\n\n    var transforms = trace.transforms;\n    if(transforms) {\n        for(var i = 0; i < transforms.length; i++) {\n            var transform = transforms[i];\n            var module = transform._module;\n\n            if(module) {\n                baseAttrName = 'transforms[' + i + '].';\n                baseContainer = transform;\n\n                exports.crawl(module.attributes, callback);\n            }\n        }\n    }\n\n    return arrayAttributes;\n};\n\n/*\n * Find the valObject for one attribute in an existing trace\n *\n * @param {object} trace\n *  full trace object that contains a reference to `_module.attributes`\n * @param {object} parts\n *  an array of parts, like ['transforms', 1, 'value']\n *  typically from nestedProperty(...).parts\n *\n * @return {object|false}\n *  the valObject for this attribute, or the last found parent\n *  in some cases the innermost valObject will not exist, for example\n *  `valType: 'any'` attributes where we might set a part of the attribute.\n *  In that case, stop at the deepest valObject we *do* find.\n */\nexports.getTraceValObject = function(trace, parts) {\n    var head = parts[0];\n    var i = 1; // index to start recursing from\n    var moduleAttrs, valObject;\n\n    if(head === 'transforms') {\n        if(parts.length === 1) {\n            return baseAttributes.transforms;\n        }\n        var transforms = trace.transforms;\n        if(!Array.isArray(transforms) || !transforms.length) return false;\n        var tNum = parts[1];\n        if(!isIndex(tNum) || tNum >= transforms.length) {\n            return false;\n        }\n        moduleAttrs = (Registry.transformsRegistry[transforms[tNum].type] || {}).attributes;\n        valObject = moduleAttrs && moduleAttrs[parts[2]];\n        i = 3; // start recursing only inside the transform\n    }\n    else if(trace.type === 'area') {\n        valObject = polarAreaAttrs[head];\n    }\n    else {\n        // first look in the module for this trace\n        // components have already merged their trace attributes in here\n        var _module = trace._module;\n        if(!_module) _module = (Registry.modules[trace.type || baseAttributes.type.dflt] || {})._module;\n        if(!_module) return false;\n\n        moduleAttrs = _module.attributes;\n        valObject = moduleAttrs && moduleAttrs[head];\n\n        // then look in the subplot attributes\n        if(!valObject) {\n            var subplotModule = _module.basePlotModule;\n            if(subplotModule && subplotModule.attributes) {\n                valObject = subplotModule.attributes[head];\n            }\n        }\n\n        // finally look in the global attributes\n        if(!valObject) valObject = baseAttributes[head];\n    }\n\n    return recurseIntoValObject(valObject, parts, i);\n};\n\n/*\n * Find the valObject for one layout attribute\n *\n * @param {array} parts\n *  an array of parts, like ['annotations', 1, 'x']\n *  typically from nestedProperty(...).parts\n *\n * @return {object|false}\n *  the valObject for this attribute, or the last found parent\n *  in some cases the innermost valObject will not exist, for example\n *  `valType: 'any'` attributes where we might set a part of the attribute.\n *  In that case, stop at the deepest valObject we *do* find.\n */\nexports.getLayoutValObject = function(fullLayout, parts) {\n    var valObject = layoutHeadAttr(fullLayout, parts[0]);\n\n    return recurseIntoValObject(valObject, parts, 1);\n};\n\nfunction layoutHeadAttr(fullLayout, head) {\n    var i, key, _module, attributes;\n\n    // look for attributes of the subplot types used on the plot\n    var basePlotModules = fullLayout._basePlotModules;\n    if(basePlotModules) {\n        var out;\n        for(i = 0; i < basePlotModules.length; i++) {\n            _module = basePlotModules[i];\n            if(_module.attrRegex && _module.attrRegex.test(head)) {\n                // if a module defines overrides, these take precedence\n                // initially this is to allow gl2d different editTypes from svg cartesian\n                if(_module.layoutAttrOverrides) return _module.layoutAttrOverrides;\n\n                // otherwise take the first attributes we find\n                if(!out && _module.layoutAttributes) out = _module.layoutAttributes;\n            }\n\n            // a module can also override the behavior of base (and component) module layout attrs\n            // again see gl2d for initial use case\n            var baseOverrides = _module.baseLayoutAttrOverrides;\n            if(baseOverrides && head in baseOverrides) return baseOverrides[head];\n        }\n        if(out) return out;\n    }\n\n    // look for layout attributes contributed by traces on the plot\n    var modules = fullLayout._modules;\n    if(modules) {\n        for(i = 0; i < modules.length; i++) {\n            attributes = modules[i].layoutAttributes;\n            if(attributes && head in attributes) {\n                return attributes[head];\n            }\n        }\n    }\n\n    /*\n     * Next look in components.\n     * Components that define a schema have already merged this into\n     * base and subplot attribute defs, so ignore these.\n     * Others (older style) all put all their attributes\n     * inside a container matching the module `name`\n     * eg `attributes` (array) or `legend` (object)\n     */\n    for(key in Registry.componentsRegistry) {\n        _module = Registry.componentsRegistry[key];\n        if(!_module.schema && (head === _module.name)) {\n            return _module.layoutAttributes;\n        }\n    }\n\n    if(head in baseLayoutAttributes) return baseLayoutAttributes[head];\n\n    // Polar doesn't populate _modules or _basePlotModules\n    // just fall back on these when the others fail\n    if(head === 'radialaxis' || head === 'angularaxis') {\n        return polarAxisAttrs[head];\n    }\n    return polarAxisAttrs.layout[head] || false;\n}\n\nfunction recurseIntoValObject(valObject, parts, i) {\n    if(!valObject) return false;\n\n    if(valObject._isLinkedToArray) {\n        // skip array index, abort if we try to dive into an array without an index\n        if(isIndex(parts[i])) i++;\n        else if(i < parts.length) return false;\n    }\n\n    // now recurse as far as we can. Occasionally we have an attribute\n    // setting an internal part below what's in the schema; just return\n    // the innermost schema item we find.\n    for(; i < parts.length; i++) {\n        var newValObject = valObject[parts[i]];\n        if(isPlainObject(newValObject)) valObject = newValObject;\n        else break;\n\n        if(i === parts.length - 1) break;\n\n        if(valObject._isLinkedToArray) {\n            i++;\n            if(!isIndex(parts[i])) return false;\n        }\n        else if(valObject.valType === 'info_array') {\n            i++;\n            var index = parts[i];\n            if(!isIndex(index)) return false;\n\n            var items = valObject.items;\n            if(Array.isArray(items)) {\n                if(index >= items.length) return false;\n                if(valObject.dimensions === 2) {\n                    i++;\n                    if(parts.length === i) return valObject;\n                    var index2 = parts[i];\n                    if(!isIndex(index2)) return false;\n                    valObject = items[index][index2];\n                }\n                else valObject = items[index];\n            }\n            else {\n                valObject = items;\n            }\n        }\n    }\n\n    return valObject;\n}\n\n// note: this is different from Lib.isIndex, this one doesn't accept numeric\n// strings, only actual numbers.\nfunction isIndex(val) {\n    return val === Math.round(val) && val >= 0;\n}\n\nfunction getTraceAttributes(type) {\n    var _module, basePlotModule;\n\n    if(type === 'area') {\n        _module = { attributes: polarAreaAttrs };\n        basePlotModule = {};\n    }\n    else {\n        _module = Registry.modules[type]._module,\n        basePlotModule = _module.basePlotModule;\n    }\n\n    var attributes = {};\n\n    // make 'type' the first attribute in the object\n    attributes.type = null;\n\n\n    var copyBaseAttributes = extendDeepAll({}, baseAttributes);\n    var copyModuleAttributes = extendDeepAll({}, _module.attributes);\n\n    // prune global-level trace attributes that are already defined in a trace\n    exports.crawl(copyModuleAttributes, function(attr, attrName, attrs, level, fullAttrString) {\n        Lib.nestedProperty(copyBaseAttributes, fullAttrString).set(undefined);\n        // Prune undefined attributes\n        if(attr === undefined) Lib.nestedProperty(copyModuleAttributes, fullAttrString).set(undefined);\n    });\n\n    // base attributes (same for all trace types)\n    extendDeepAll(attributes, copyBaseAttributes);\n\n    // module attributes\n    extendDeepAll(attributes, copyModuleAttributes);\n\n    // subplot attributes\n    if(basePlotModule.attributes) {\n        extendDeepAll(attributes, basePlotModule.attributes);\n    }\n\n    // 'type' gets overwritten by baseAttributes; reset it here\n    attributes.type = type;\n\n    var out = {\n        meta: _module.meta || {},\n        attributes: formatAttributes(attributes),\n    };\n\n    // trace-specific layout attributes\n    if(_module.layoutAttributes) {\n        var layoutAttributes = {};\n\n        extendDeepAll(layoutAttributes, _module.layoutAttributes);\n        out.layoutAttributes = formatAttributes(layoutAttributes);\n    }\n\n    return out;\n}\n\nfunction getLayoutAttributes() {\n    var layoutAttributes = {};\n    var key, _module;\n\n    // global layout attributes\n    extendDeepAll(layoutAttributes, baseLayoutAttributes);\n\n    // add base plot module layout attributes\n    for(key in Registry.subplotsRegistry) {\n        _module = Registry.subplotsRegistry[key];\n\n        if(!_module.layoutAttributes) continue;\n\n        if(Array.isArray(_module.attr)) {\n            for(var i = 0; i < _module.attr.length; i++) {\n                handleBasePlotModule(layoutAttributes, _module, _module.attr[i]);\n            }\n        } else {\n            var astr = _module.attr === 'subplot' ? _module.name : _module.attr;\n            handleBasePlotModule(layoutAttributes, _module, astr);\n        }\n    }\n\n    // polar layout attributes\n    layoutAttributes = assignPolarLayoutAttrs(layoutAttributes);\n\n    // add registered components layout attributes\n    for(key in Registry.componentsRegistry) {\n        _module = Registry.componentsRegistry[key];\n        var schema = _module.schema;\n\n        /*\n         * Components with defined schema have already been merged in at register time\n         * but a few components define attributes that apply only to xaxis\n         * not yaxis (rangeselector, rangeslider) - delete from y schema.\n         * Note that the input attributes for xaxis/yaxis are the same object\n         * so it's not possible to only add them to xaxis from the start.\n         * If we ever have such asymmetry the other way, or anywhere else,\n         * we will need to extend both this code and mergeComponentAttrsToSubplot\n         * (which will not find yaxis only for example)\n         */\n        if(schema && (schema.subplots || schema.layout)) {\n            var subplots = schema.subplots;\n            if(subplots && subplots.xaxis && !subplots.yaxis) {\n                for(var xkey in subplots.xaxis) delete layoutAttributes.yaxis[xkey];\n            }\n        }\n        // older style without schema need to be explicitly merged in now\n        else if(_module.layoutAttributes) {\n            insertAttrs(layoutAttributes, _module.layoutAttributes, _module.name);\n        }\n    }\n\n    return {\n        layoutAttributes: formatAttributes(layoutAttributes)\n    };\n}\n\nfunction getTransformAttributes(type) {\n    var _module = Registry.transformsRegistry[type];\n    var attributes = extendDeepAll({}, _module.attributes);\n\n    // add registered components transform attributes\n    Object.keys(Registry.componentsRegistry).forEach(function(k) {\n        var _module = Registry.componentsRegistry[k];\n\n        if(_module.schema && _module.schema.transforms && _module.schema.transforms[type]) {\n            Object.keys(_module.schema.transforms[type]).forEach(function(v) {\n                insertAttrs(attributes, _module.schema.transforms[type][v], v);\n            });\n        }\n    });\n\n    return {\n        attributes: formatAttributes(attributes)\n    };\n}\n\nfunction getFramesAttributes() {\n    var attrs = {\n        frames: Lib.extendDeepAll({}, frameAttributes)\n    };\n\n    formatAttributes(attrs);\n\n    return attrs.frames;\n}\n\nfunction formatAttributes(attrs) {\n    mergeValTypeAndRole(attrs);\n    formatArrayContainers(attrs);\n    stringify(attrs);\n\n    return attrs;\n}\n\nfunction mergeValTypeAndRole(attrs) {\n\n    function makeSrcAttr(attrName) {\n        return {\n            valType: 'string',\n            \n            \n            editType: 'none'\n        };\n    }\n\n    function callback(attr, attrName, attrs) {\n        if(exports.isValObject(attr)) {\n            if(attr.valType === 'data_array') {\n                // all 'data_array' attrs have role 'data'\n                attr.role = 'data';\n                // all 'data_array' attrs have a corresponding 'src' attr\n                attrs[attrName + 'src'] = makeSrcAttr(attrName);\n            }\n            else if(attr.arrayOk === true) {\n                // all 'arrayOk' attrs have a corresponding 'src' attr\n                attrs[attrName + 'src'] = makeSrcAttr(attrName);\n            }\n        }\n        else if(isPlainObject(attr)) {\n            // all attrs container objects get role 'object'\n            attr.role = 'object';\n        }\n    }\n\n    exports.crawl(attrs, callback);\n}\n\nfunction formatArrayContainers(attrs) {\n\n    function callback(attr, attrName, attrs) {\n        if(!attr) return;\n\n        var itemName = attr[IS_LINKED_TO_ARRAY];\n\n        if(!itemName) return;\n\n        delete attr[IS_LINKED_TO_ARRAY];\n\n        attrs[attrName] = { items: {} };\n        attrs[attrName].items[itemName] = attr;\n        attrs[attrName].role = 'object';\n    }\n\n    exports.crawl(attrs, callback);\n}\n\n// this can take around 10ms and should only be run from PlotSchema.get(),\n// to ensure JSON.stringify(PlotSchema.get()) gives the intended result.\nfunction stringify(attrs) {\n    function walk(attr) {\n        for(var k in attr) {\n            if(isPlainObject(attr[k])) {\n                walk(attr[k]);\n            } else if(Array.isArray(attr[k])) {\n                for(var i = 0; i < attr[k].length; i++) {\n                    walk(attr[k][i]);\n                }\n            } else {\n                // as JSON.stringify(/test/) // => {}\n                if(attr[k] instanceof RegExp) {\n                    attr[k] = attr[k].toString();\n                }\n            }\n        }\n    }\n\n    walk(attrs);\n}\n\nfunction assignPolarLayoutAttrs(layoutAttributes) {\n    extendFlat(layoutAttributes, {\n        radialaxis: polarAxisAttrs.radialaxis,\n        angularaxis: polarAxisAttrs.angularaxis\n    });\n\n    extendFlat(layoutAttributes, polarAxisAttrs.layout);\n\n    return layoutAttributes;\n}\n\nfunction handleBasePlotModule(layoutAttributes, _module, astr) {\n    var np = Lib.nestedProperty(layoutAttributes, astr),\n        attrs = extendDeepAll({}, _module.layoutAttributes);\n\n    attrs[IS_SUBPLOT_OBJ] = true;\n    np.set(attrs);\n}\n\nfunction insertAttrs(baseAttrs, newAttrs, astr) {\n    var np = Lib.nestedProperty(baseAttrs, astr);\n\n    np.set(extendDeepAll(np.get() || {}, newAttrs));\n}\n\n},{\"../lib\":696,\"../plots/animation_attributes\":740,\"../plots/attributes\":742,\"../plots/frame_attributes\":773,\"../plots/layout_attributes\":800,\"../plots/polar/legacy/area_attributes\":815,\"../plots/polar/legacy/axis_attributes\":816,\"../registry\":828,\"./edit_types\":728}],735:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar plotAttributes = _dereq_('../plots/attributes');\n\nvar TEMPLATEITEMNAME = 'templateitemname';\n\nvar templateAttrs = {\n    name: {\n        valType: 'string',\n        \n        editType: 'none',\n        \n    }\n};\ntemplateAttrs[TEMPLATEITEMNAME] = {\n    valType: 'string',\n    \n    editType: 'calc',\n    \n};\n\n/**\n * templatedArray: decorate an attributes object with templating (and array)\n * properties.\n *\n * @param {string} name: the singular form of the array name. Sets\n *     `_isLinkedToArray` to this, so the schema knows to treat this as an array.\n * @param {object} attrs: the item attributes. Since all callers are expected\n *     to be constructing this object on the spot, we mutate it here for\n *     performance, rather than extending a new object with it.\n *\n * @returns {object}: the decorated `attrs` object\n */\nexports.templatedArray = function(name, attrs) {\n    attrs._isLinkedToArray = name;\n    attrs.name = templateAttrs.name;\n    attrs[TEMPLATEITEMNAME] = templateAttrs[TEMPLATEITEMNAME];\n    return attrs;\n};\n\n/**\n * traceTemplater: logic for matching traces to trace templates\n *\n * @param {object} dataTemplate: collection of {traceType: [{template}, ...]}\n *     ie each type the template applies to contains a list of template objects,\n *     to be provided cyclically to data traces of that type.\n *\n * @returns {object}: {newTrace}, a function:\n *     newTrace(traceIn): that takes the input traceIn, coerces its type, then\n *         uses that type to find the next template to apply. returns the output\n *         traceOut with template attached, ready to continue supplyDefaults.\n */\nexports.traceTemplater = function(dataTemplate) {\n    var traceCounts = {};\n    var traceType, typeTemplates;\n\n    for(traceType in dataTemplate) {\n        typeTemplates = dataTemplate[traceType];\n        if(Array.isArray(typeTemplates) && typeTemplates.length) {\n            traceCounts[traceType] = 0;\n        }\n    }\n\n    function newTrace(traceIn) {\n        traceType = Lib.coerce(traceIn, {}, plotAttributes, 'type');\n        var traceOut = {type: traceType, _template: null};\n        if(traceType in traceCounts) {\n            typeTemplates = dataTemplate[traceType];\n            // cycle through traces in the template set for this type\n            var typei = traceCounts[traceType] % typeTemplates.length;\n            traceCounts[traceType]++;\n            traceOut._template = typeTemplates[typei];\n        }\n        else {\n            // TODO: anything we should do for types missing from the template?\n            // try to apply some other type? Or just bail as we do here?\n            // Actually I think yes, we should apply other types; would be nice\n            // if all scatter* could inherit from each other, and if histogram\n            // could inherit from bar, etc... but how to specify this? And do we\n            // compose them, or if a type is present require it to be complete?\n            // Actually this could apply to layout too - 3D annotations\n            // inheriting from 2D, axes of different types inheriting from each\n            // other...\n        }\n        return traceOut;\n    }\n\n    return {\n        newTrace: newTrace\n        // TODO: function to figure out what's left & what didn't work\n    };\n};\n\n/**\n * newContainer: Create a new sub-container inside `container` and propagate any\n * applicable template to it. If there's no template, still propagates\n * `undefined` so relinkPrivate will not retain an old template!\n *\n * @param {object} container: the outer container, should already have _template\n *     if there *is* a template for this plot\n * @param {string} name: the key of the new container to make\n * @param {string} baseName: if applicable, a base attribute to take the\n *     template from, ie for xaxis3 the base would be xaxis\n *\n * @returns {object}: an object for inclusion _full*, empty except for the\n *     appropriate template piece\n */\nexports.newContainer = function(container, name, baseName) {\n    var template = container._template;\n    var part = template && (template[name] || (baseName && template[baseName]));\n    if(!Lib.isPlainObject(part)) part = null;\n\n    var out = container[name] = {_template: part};\n    return out;\n};\n\n/**\n * arrayTemplater: special logic for templating both defaults and specific items\n * in a container array (annotations etc)\n *\n * @param {object} container: the outer container, should already have _template\n *     if there *is* a template for this plot\n * @param {string} name: the name of the array to template (ie 'annotations')\n *     will be used to find default ('annotationdefaults' object) and specific\n *     ('annotations' array) template specs.\n * @param {string} inclusionAttr: the attribute determining this item's\n *     inclusion in the output, usually 'visible' or 'enabled'\n *\n * @returns {object}: {newItem, defaultItems}, both functions:\n *     newItem(itemIn): create an output item, bare except for the correct\n *         template and name(s), as the base for supplyDefaults\n *     defaultItems(): to be called after all newItem calls, return any\n *         specific template items that have not already beeen included,\n *         also as bare output items ready for supplyDefaults.\n */\nexports.arrayTemplater = function(container, name, inclusionAttr) {\n    var template = container._template;\n    var defaultsTemplate = template && template[arrayDefaultKey(name)];\n    var templateItems = template && template[name];\n    if(!Array.isArray(templateItems) || !templateItems.length) {\n        templateItems = [];\n    }\n\n    var usedNames = {};\n\n    function newItem(itemIn) {\n        // include name and templateitemname in the output object for ALL\n        // container array items. Note: you could potentially use different\n        // name and templateitemname, if you're using one template to make\n        // another template. templateitemname would be the name in the original\n        // template, and name is the new \"subclassed\" item name.\n        var out = {name: itemIn.name, _input: itemIn};\n        var templateItemName = out[TEMPLATEITEMNAME] = itemIn[TEMPLATEITEMNAME];\n\n        // no itemname: use the default template\n        if(!validItemName(templateItemName)) {\n            out._template = defaultsTemplate;\n            return out;\n        }\n\n        // look for an item matching this itemname\n        // note these do not inherit from the default template, only the item.\n        for(var i = 0; i < templateItems.length; i++) {\n            var templateItem = templateItems[i];\n            if(templateItem.name === templateItemName) {\n                // Note: it's OK to use a template item more than once\n                // but using it at least once will stop it from generating\n                // a default item at the end.\n                usedNames[templateItemName] = 1;\n                out._template = templateItem;\n                return out;\n            }\n        }\n\n        // Didn't find a matching template item, so since this item is intended\n        // to only be modifications it's most likely broken. Hide it unless\n        // it's explicitly marked visible - in which case it gets NO template,\n        // not even the default.\n        out[inclusionAttr] = itemIn[inclusionAttr] || false;\n        // special falsy value we can look for in validateTemplate\n        out._template = false;\n        return out;\n    }\n\n    function defaultItems() {\n        var out = [];\n        for(var i = 0; i < templateItems.length; i++) {\n            var templateItem = templateItems[i];\n            var name = templateItem.name;\n            // only allow named items to be added as defaults,\n            // and only allow each name once\n            if(validItemName(name) && !usedNames[name]) {\n                var outi = {\n                    _template: templateItem,\n                    name: name,\n                    _input: {_templateitemname: name}\n                };\n                outi[TEMPLATEITEMNAME] = templateItem[TEMPLATEITEMNAME];\n                out.push(outi);\n                usedNames[name] = 1;\n            }\n        }\n        return out;\n    }\n\n    return {\n        newItem: newItem,\n        defaultItems: defaultItems\n    };\n};\n\nfunction validItemName(name) {\n    return name && typeof name === 'string';\n}\n\nfunction arrayDefaultKey(name) {\n    var lastChar = name.length - 1;\n    if(name.charAt(lastChar) !== 's') {\n        Lib.warn('bad argument to arrayDefaultKey: ' + name);\n    }\n    return name.substr(0, name.length - 1) + 'defaults';\n}\nexports.arrayDefaultKey = arrayDefaultKey;\n\n/**\n * arrayEditor: helper for editing array items that may have come from\n *     template defaults (in which case they will not exist in the input yet)\n *\n * @param {object} parentIn: the input container (eg gd.layout)\n * @param {string} containerStr: the attribute string for the container inside\n *     `parentIn`.\n * @param {object} itemOut: the _full* item (eg gd._fullLayout.annotations[0])\n *     that we'll be editing. Assumed to have been created by `arrayTemplater`.\n *\n * @returns {object}: {modifyBase, modifyItem, getUpdateObj, applyUpdate}, all functions:\n *     modifyBase(attr, value): Add an update that's *not* related to the item.\n *         `attr` is the full attribute string.\n *     modifyItem(attr, value): Add an update to the item. `attr` is just the\n *         portion of the attribute string inside the item.\n *     getUpdateObj(): Get the final constructed update object, to use in\n *         `restyle` or `relayout`. Also resets the update object in case this\n *         update was canceled.\n *     applyUpdate(attr, value): optionally add an update `attr: value`,\n *         then apply it to `parent` which should be the parent of `containerIn`,\n *         ie the object to which `containerStr` is the attribute string.\n */\nexports.arrayEditor = function(parentIn, containerStr, itemOut) {\n    var lengthIn = (Lib.nestedProperty(parentIn, containerStr).get() || []).length;\n    var index = itemOut._index;\n    // Check that we are indeed off the end of this container.\n    // Otherwise a devious user could put a key `_templateitemname` in their\n    // own input and break lots of things.\n    var templateItemName = (index >= lengthIn) && (itemOut._input || {})._templateitemname;\n    if(templateItemName) index = lengthIn;\n    var itemStr = containerStr + '[' + index + ']';\n\n    var update;\n    function resetUpdate() {\n        update = {};\n        if(templateItemName) {\n            update[itemStr] = {};\n            update[itemStr][TEMPLATEITEMNAME] = templateItemName;\n        }\n    }\n    resetUpdate();\n\n    function modifyBase(attr, value) {\n        update[attr] = value;\n    }\n\n    function modifyItem(attr, value) {\n        if(templateItemName) {\n            // we're making a new object: edit that object\n            Lib.nestedProperty(update[itemStr], attr).set(value);\n        }\n        else {\n            // we're editing an existing object: include *just* the edit\n            update[itemStr + '.' + attr] = value;\n        }\n    }\n\n    function getUpdateObj() {\n        var updateOut = update;\n        resetUpdate();\n        return updateOut;\n    }\n\n    function applyUpdate(attr, value) {\n        if(attr) modifyItem(attr, value);\n        var updateToApply = getUpdateObj();\n        for(var key in updateToApply) {\n            Lib.nestedProperty(parentIn, key).set(updateToApply[key]);\n        }\n    }\n\n    return {\n        modifyBase: modifyBase,\n        modifyItem: modifyItem,\n        getUpdateObj: getUpdateObj,\n        applyUpdate: applyUpdate\n    };\n};\n\n},{\"../lib\":696,\"../plots/attributes\":742}],736:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Registry = _dereq_('../registry');\nvar Plots = _dereq_('../plots/plots');\n\nvar Lib = _dereq_('../lib');\nvar clearGlCanvases = _dereq_('../lib/clear_gl_canvases');\n\nvar Color = _dereq_('../components/color');\nvar Drawing = _dereq_('../components/drawing');\nvar Titles = _dereq_('../components/titles');\nvar ModeBar = _dereq_('../components/modebar');\n\nvar Axes = _dereq_('../plots/cartesian/axes');\nvar alignmentConstants = _dereq_('../constants/alignment');\nvar axisConstraints = _dereq_('../plots/cartesian/constraints');\nvar enforceAxisConstraints = axisConstraints.enforce;\nvar cleanAxisConstraints = axisConstraints.clean;\nvar doAutoRange = _dereq_('../plots/cartesian/autorange').doAutoRange;\n\nexports.layoutStyles = function(gd) {\n    return Lib.syncOrAsync([Plots.doAutoMargin, lsInner], gd);\n};\n\nfunction overlappingDomain(xDomain, yDomain, domains) {\n    for(var i = 0; i < domains.length; i++) {\n        var existingX = domains[i][0],\n            existingY = domains[i][1];\n\n        if(existingX[0] >= xDomain[1] || existingX[1] <= xDomain[0]) {\n            continue;\n        }\n        if(existingY[0] < yDomain[1] && existingY[1] > yDomain[0]) {\n            return true;\n        }\n    }\n    return false;\n}\n\nfunction lsInner(gd) {\n    var fullLayout = gd._fullLayout;\n    var gs = fullLayout._size;\n    var pad = gs.p;\n    var axList = Axes.list(gd, '', true);\n    var i, subplot, plotinfo, xa, ya;\n\n    fullLayout._paperdiv.style({\n        width: (gd._context.responsive && fullLayout.autosize && !gd._context._hasZeroWidth && !gd.layout.width) ? '100%' : fullLayout.width + 'px',\n        height: (gd._context.responsive && fullLayout.autosize && !gd._context._hasZeroHeight && !gd.layout.height) ? '100%' : fullLayout.height + 'px'\n    })\n    .selectAll('.main-svg')\n    .call(Drawing.setSize, fullLayout.width, fullLayout.height);\n    gd._context.setBackground(gd, fullLayout.paper_bgcolor);\n\n    exports.drawMainTitle(gd);\n    ModeBar.manage(gd);\n\n    // _has('cartesian') means SVG specifically, not GL2D - but GL2D\n    // can still get here because it makes some of the SVG structure\n    // for shared features like selections.\n    if(!fullLayout._has('cartesian')) {\n        return gd._promises.length && Promise.all(gd._promises);\n    }\n\n    function getLinePosition(ax, counterAx, side) {\n        var lwHalf = ax._lw / 2;\n\n        if(ax._id.charAt(0) === 'x') {\n            if(!counterAx) return gs.t + gs.h * (1 - (ax.position || 0)) + (lwHalf % 1);\n            else if(side === 'top') return counterAx._offset - pad - lwHalf;\n            return counterAx._offset + counterAx._length + pad + lwHalf;\n        }\n\n        if(!counterAx) return gs.l + gs.w * (ax.position || 0) + (lwHalf % 1);\n        else if(side === 'right') return counterAx._offset + counterAx._length + pad + lwHalf;\n        return counterAx._offset - pad - lwHalf;\n    }\n\n    // some preparation of axis position info\n    for(i = 0; i < axList.length; i++) {\n        var ax = axList[i];\n\n        // reset scale in case the margins have changed\n        ax.setScale();\n\n        var counterAx = ax._anchorAxis;\n\n        // clear axis line positions, to be set in the subplot loop below\n        ax._linepositions = {};\n\n        // stash crispRounded linewidth so we don't need to pass gd all over the place\n        ax._lw = Drawing.crispRound(gd, ax.linewidth, 1);\n\n        // figure out the main axis line and main mirror line position.\n        // it's easier to follow the logic if we handle these separately from\n        // ax._linepositions, which are only used by mirror=allticks\n        // for non-main-subplot ticks, and mirror=all(ticks)? for zero line\n        // hiding logic\n        ax._mainLinePosition = getLinePosition(ax, counterAx, ax.side);\n        ax._mainMirrorPosition = (ax.mirror && counterAx) ?\n            getLinePosition(ax, counterAx,\n                alignmentConstants.OPPOSITE_SIDE[ax.side]) : null;\n\n        // Figure out which subplot to draw ticks, labels, & axis lines on\n        // do this as a separate loop so we already have all the\n        // _mainAxis and _anchorAxis links set\n        ax._mainSubplot = findMainSubplot(ax, fullLayout);\n    }\n\n    // figure out which backgrounds we need to draw,\n    // and in which layers to put them\n    var lowerBackgroundIDs = [];\n    var backgroundIds = [];\n    var lowerDomains = [];\n    // no need to draw background when paper and plot color are the same color,\n    // activate mode just for large splom (which benefit the most from this\n    // optimization), but this could apply to all cartesian subplots.\n    var noNeedForBg = (\n        Color.opacity(fullLayout.paper_bgcolor) === 1 &&\n        Color.opacity(fullLayout.plot_bgcolor) === 1 &&\n        fullLayout.paper_bgcolor === fullLayout.plot_bgcolor\n    );\n\n    for(subplot in fullLayout._plots) {\n        plotinfo = fullLayout._plots[subplot];\n\n        if(plotinfo.mainplot) {\n            // mainplot is a reference to the main plot this one is overlaid on\n            // so if it exists, this is an overlaid plot and we don't need to\n            // give it its own background\n            if(plotinfo.bg) {\n                plotinfo.bg.remove();\n            }\n            plotinfo.bg = undefined;\n        } else {\n            var xDomain = plotinfo.xaxis.domain;\n            var yDomain = plotinfo.yaxis.domain;\n            var plotgroup = plotinfo.plotgroup;\n\n            if(overlappingDomain(xDomain, yDomain, lowerDomains)) {\n                var pgNode = plotgroup.node();\n                var plotgroupBg = plotinfo.bg = Lib.ensureSingle(plotgroup, 'rect', 'bg');\n                pgNode.insertBefore(plotgroupBg.node(), pgNode.childNodes[0]);\n                backgroundIds.push(subplot);\n            } else {\n                plotgroup.select('rect.bg').remove();\n                lowerDomains.push([xDomain, yDomain]);\n                if(!noNeedForBg) {\n                    lowerBackgroundIDs.push(subplot);\n                    backgroundIds.push(subplot);\n                }\n            }\n        }\n    }\n\n    // now create all the lower-layer backgrounds at once now that\n    // we have the list of subplots that need them\n    var lowerBackgrounds = fullLayout._bgLayer.selectAll('.bg')\n        .data(lowerBackgroundIDs);\n\n    lowerBackgrounds.enter().append('rect')\n        .classed('bg', true);\n\n    lowerBackgrounds.exit().remove();\n\n    lowerBackgrounds.each(function(subplot) {\n        fullLayout._plots[subplot].bg = d3.select(this);\n    });\n\n    // style all backgrounds\n    for(i = 0; i < backgroundIds.length; i++) {\n        plotinfo = fullLayout._plots[backgroundIds[i]];\n        xa = plotinfo.xaxis;\n        ya = plotinfo.yaxis;\n\n        if(plotinfo.bg) {\n            plotinfo.bg\n                .call(Drawing.setRect,\n                    xa._offset - pad, ya._offset - pad,\n                    xa._length + 2 * pad, ya._length + 2 * pad)\n                .call(Color.fill, fullLayout.plot_bgcolor)\n                .style('stroke-width', 0);\n        }\n    }\n\n    if(!fullLayout._hasOnlyLargeSploms) {\n        for(subplot in fullLayout._plots) {\n            plotinfo = fullLayout._plots[subplot];\n            xa = plotinfo.xaxis;\n            ya = plotinfo.yaxis;\n\n            // Clip so that data only shows up on the plot area.\n            var clipId = plotinfo.clipId = 'clip' + fullLayout._uid + subplot + 'plot';\n\n            var plotClip = Lib.ensureSingleById(fullLayout._clips, 'clipPath', clipId, function(s) {\n                s.classed('plotclip', true)\n                    .append('rect');\n            });\n\n            plotinfo.clipRect = plotClip.select('rect').attr({\n                width: xa._length,\n                height: ya._length\n            });\n\n            Drawing.setTranslate(plotinfo.plot, xa._offset, ya._offset);\n\n            var plotClipId;\n            var layerClipId;\n\n            if(plotinfo._hasClipOnAxisFalse) {\n                plotClipId = null;\n                layerClipId = clipId;\n            } else {\n                plotClipId = clipId;\n                layerClipId = null;\n            }\n\n            Drawing.setClipUrl(plotinfo.plot, plotClipId);\n\n            // stash layer clipId value (null or same as clipId)\n            // to DRY up Drawing.setClipUrl calls on trace-module and trace layers\n            // downstream\n            plotinfo.layerClipId = layerClipId;\n        }\n    }\n\n    var xLinesXLeft, xLinesXRight, xLinesYBottom, xLinesYTop,\n        leftYLineWidth, rightYLineWidth;\n    var yLinesYBottom, yLinesYTop, yLinesXLeft, yLinesXRight,\n        connectYBottom, connectYTop;\n    var extraSubplot;\n\n    function xLinePath(y) {\n        return 'M' + xLinesXLeft + ',' + y + 'H' + xLinesXRight;\n    }\n\n    function xLinePathFree(y) {\n        return 'M' + xa._offset + ',' + y + 'h' + xa._length;\n    }\n\n    function yLinePath(x) {\n        return 'M' + x + ',' + yLinesYTop + 'V' + yLinesYBottom;\n    }\n\n    function yLinePathFree(x) {\n        return 'M' + x + ',' + ya._offset + 'v' + ya._length;\n    }\n\n    function mainPath(ax, pathFn, pathFnFree) {\n        if(!ax.showline || subplot !== ax._mainSubplot) return '';\n        if(!ax._anchorAxis) return pathFnFree(ax._mainLinePosition);\n        var out = pathFn(ax._mainLinePosition);\n        if(ax.mirror) out += pathFn(ax._mainMirrorPosition);\n        return out;\n    }\n\n    for(subplot in fullLayout._plots) {\n        plotinfo = fullLayout._plots[subplot];\n        xa = plotinfo.xaxis;\n        ya = plotinfo.yaxis;\n\n        /*\n         * x lines get longer where they meet y lines, to make a crisp corner.\n         * The x lines get the padding (margin.pad) plus the y line width to\n         * fill up the corner nicely. Free x lines are excluded - they always\n         * span exactly the data area of the plot\n         *\n         *  | XXXXX\n         *  | XXXXX\n         *  |\n         *  +------\n         *     x1\n         *    -----\n         *     x2\n         */\n        var xPath = 'M0,0';\n        if(shouldShowLinesOrTicks(xa, subplot)) {\n            leftYLineWidth = findCounterAxisLineWidth(xa, 'left', ya, axList);\n            xLinesXLeft = xa._offset - (leftYLineWidth ? (pad + leftYLineWidth) : 0);\n            rightYLineWidth = findCounterAxisLineWidth(xa, 'right', ya, axList);\n            xLinesXRight = xa._offset + xa._length + (rightYLineWidth ? (pad + rightYLineWidth) : 0);\n            xLinesYBottom = getLinePosition(xa, ya, 'bottom');\n            xLinesYTop = getLinePosition(xa, ya, 'top');\n\n            // save axis line positions for extra ticks to reference\n            // each subplot that gets ticks from \"allticks\" gets an entry:\n            //    [left or bottom, right or top]\n            extraSubplot = (!xa._anchorAxis || subplot !== xa._mainSubplot);\n            if(extraSubplot && (xa.mirror === 'allticks' || xa.mirror === 'all')) {\n                xa._linepositions[subplot] = [xLinesYBottom, xLinesYTop];\n            }\n\n            xPath = mainPath(xa, xLinePath, xLinePathFree);\n            if(extraSubplot && xa.showline && (xa.mirror === 'all' || xa.mirror === 'allticks')) {\n                xPath += xLinePath(xLinesYBottom) + xLinePath(xLinesYTop);\n            }\n\n            plotinfo.xlines\n                .style('stroke-width', xa._lw + 'px')\n                .call(Color.stroke, xa.showline ?\n                    xa.linecolor : 'rgba(0,0,0,0)');\n        }\n        plotinfo.xlines.attr('d', xPath);\n\n        /*\n         * y lines that meet x axes get longer only by margin.pad, because\n         * the x axes fill in the corner space. Free y axes, like free x axes,\n         * always span exactly the data area of the plot\n         *\n         *   |   | XXXX\n         * y2| y1| XXXX\n         *   |   | XXXX\n         *       |\n         *       +-----\n         */\n        var yPath = 'M0,0';\n        if(shouldShowLinesOrTicks(ya, subplot)) {\n            connectYBottom = findCounterAxisLineWidth(ya, 'bottom', xa, axList);\n            yLinesYBottom = ya._offset + ya._length + (connectYBottom ? pad : 0);\n            connectYTop = findCounterAxisLineWidth(ya, 'top', xa, axList);\n            yLinesYTop = ya._offset - (connectYTop ? pad : 0);\n            yLinesXLeft = getLinePosition(ya, xa, 'left');\n            yLinesXRight = getLinePosition(ya, xa, 'right');\n\n            extraSubplot = (!ya._anchorAxis || subplot !== ya._mainSubplot);\n            if(extraSubplot && (ya.mirror === 'allticks' || ya.mirror === 'all')) {\n                ya._linepositions[subplot] = [yLinesXLeft, yLinesXRight];\n            }\n\n            yPath = mainPath(ya, yLinePath, yLinePathFree);\n            if(extraSubplot && ya.showline && (ya.mirror === 'all' || ya.mirror === 'allticks')) {\n                yPath += yLinePath(yLinesXLeft) + yLinePath(yLinesXRight);\n            }\n\n            plotinfo.ylines\n                .style('stroke-width', ya._lw + 'px')\n                .call(Color.stroke, ya.showline ?\n                    ya.linecolor : 'rgba(0,0,0,0)');\n        }\n        plotinfo.ylines.attr('d', yPath);\n    }\n\n    Axes.makeClipPaths(gd);\n\n    return gd._promises.length && Promise.all(gd._promises);\n}\n\nfunction findMainSubplot(ax, fullLayout) {\n    var subplotList = fullLayout._subplots;\n    var ids = subplotList.cartesian.concat(subplotList.gl2d || []);\n    var mockGd = {_fullLayout: fullLayout};\n\n    var isX = ax._id.charAt(0) === 'x';\n    var anchorAx = ax._mainAxis._anchorAxis;\n    var mainSubplotID = '';\n    var nextBestMainSubplotID = '';\n    var anchorID = '';\n\n    // First try the main ID with the anchor\n    if(anchorAx) {\n        anchorID = anchorAx._mainAxis._id;\n        mainSubplotID = isX ? (ax._id + anchorID) : (anchorID + ax._id);\n    }\n\n    // Then look for a subplot with the counteraxis overlaying the anchor\n    // If that fails just use the first subplot including this axis\n    if(!mainSubplotID || !fullLayout._plots[mainSubplotID]) {\n        mainSubplotID = '';\n\n        for(var j = 0; j < ids.length; j++) {\n            var id = ids[j];\n            var yIndex = id.indexOf('y');\n            var idPart = isX ? id.substr(0, yIndex) : id.substr(yIndex);\n            var counterPart = isX ? id.substr(yIndex) : id.substr(0, yIndex);\n\n            if(idPart === ax._id) {\n                if(!nextBestMainSubplotID) nextBestMainSubplotID = id;\n                var counterAx = Axes.getFromId(mockGd, counterPart);\n                if(anchorID && counterAx.overlaying === anchorID) {\n                    mainSubplotID = id;\n                    break;\n                }\n            }\n        }\n    }\n\n    return mainSubplotID || nextBestMainSubplotID;\n}\n\nfunction shouldShowLinesOrTicks(ax, subplot) {\n    return (ax.ticks || ax.showline) &&\n        (subplot === ax._mainSubplot || ax.mirror === 'all' || ax.mirror === 'allticks');\n}\n\n/*\n * should we draw a line on counterAx at this side of ax?\n * It's assumed that counterAx is known to overlay the subplot we're working on\n * but it may not be its main axis.\n */\nfunction shouldShowLineThisSide(ax, side, counterAx) {\n    // does counterAx get a line at all?\n    if(!counterAx.showline || !counterAx._lw) return false;\n\n    // are we drawing *all* lines for counterAx?\n    if(counterAx.mirror === 'all' || counterAx.mirror === 'allticks') return true;\n\n    var anchorAx = counterAx._anchorAxis;\n\n    // is this a free axis? free axes can only have a subplot side-line with all(ticks)? mirroring\n    if(!anchorAx) return false;\n\n    // in order to handle cases where the user forgot to anchor this axis correctly\n    // (because its default anchor has the same domain on the relevant end)\n    // check whether the relevant position is the same.\n    var sideIndex = alignmentConstants.FROM_BL[side];\n    if(counterAx.side === side) {\n        return anchorAx.domain[sideIndex] === ax.domain[sideIndex];\n    }\n    return counterAx.mirror && anchorAx.domain[1 - sideIndex] === ax.domain[1 - sideIndex];\n}\n\n/*\n * Is there another axis intersecting `side` end of `ax`?\n * First look at `counterAx` (the axis for this subplot),\n * then at all other potential counteraxes on or overlaying this subplot.\n * Take the line width from the first one that has a line.\n */\nfunction findCounterAxisLineWidth(ax, side, counterAx, axList) {\n    if(shouldShowLineThisSide(ax, side, counterAx)) {\n        return counterAx._lw;\n    }\n    for(var i = 0; i < axList.length; i++) {\n        var axi = axList[i];\n        if(axi._mainAxis === counterAx._mainAxis && shouldShowLineThisSide(ax, side, axi)) {\n            return axi._lw;\n        }\n    }\n    return 0;\n}\n\nexports.drawMainTitle = function(gd) {\n    var fullLayout = gd._fullLayout;\n\n    Titles.draw(gd, 'gtitle', {\n        propContainer: fullLayout,\n        propName: 'title',\n        placeholder: fullLayout._dfltTitle.plot,\n        attributes: {\n            x: fullLayout.width / 2,\n            y: fullLayout._size.t / 2,\n            'text-anchor': 'middle'\n        }\n    });\n};\n\nexports.doTraceStyle = function(gd) {\n    var calcdata = gd.calcdata;\n    var editStyleCalls = [];\n    var i;\n\n    for(i = 0; i < calcdata.length; i++) {\n        var cd = calcdata[i];\n        var cd0 = cd[0] || {};\n        var trace = cd0.trace || {};\n        var _module = trace._module || {};\n\n        // See if we need to do arraysToCalcdata\n        // call it regardless of what change we made, in case\n        // supplyDefaults brought in an array that was already\n        // in gd.data but not in gd._fullData previously\n        var arraysToCalcdata = _module.arraysToCalcdata;\n        if(arraysToCalcdata) arraysToCalcdata(cd, trace);\n\n        var editStyle = _module.editStyle;\n        if(editStyle) editStyleCalls.push({fn: editStyle, cd0: cd0});\n    }\n\n    if(editStyleCalls.length) {\n        for(i = 0; i < editStyleCalls.length; i++) {\n            var edit = editStyleCalls[i];\n            edit.fn(gd, edit.cd0);\n        }\n        clearGlCanvases(gd);\n        exports.redrawReglTraces(gd);\n    }\n\n    Plots.style(gd);\n    Registry.getComponentMethod('legend', 'draw')(gd);\n\n    return Plots.previousPromises(gd);\n};\n\nexports.doColorBars = function(gd) {\n    for(var i = 0; i < gd.calcdata.length; i++) {\n        var cdi0 = gd.calcdata[i][0];\n\n        if((cdi0.t || {}).cb) {\n            var trace = cdi0.trace,\n                cb = cdi0.t.cb;\n\n            if(Registry.traceIs(trace, 'contour')) {\n                cb.line({\n                    width: trace.contours.showlines !== false ?\n                        trace.line.width : 0,\n                    dash: trace.line.dash,\n                    color: trace.contours.coloring === 'line' ?\n                        cb._opts.line.color : trace.line.color\n                });\n            }\n            var moduleOpts = trace._module.colorbar;\n            var containerName = moduleOpts.container;\n            var opts = (containerName ? trace[containerName] : trace).colorbar;\n            cb.options(opts)();\n        }\n    }\n\n    return Plots.previousPromises(gd);\n};\n\n// force plot() to redo the layout and replot with the modified layout\nexports.layoutReplot = function(gd) {\n    var layout = gd.layout;\n    gd.layout = undefined;\n    return Registry.call('plot', gd, '', layout);\n};\n\nexports.doLegend = function(gd) {\n    Registry.getComponentMethod('legend', 'draw')(gd);\n    return Plots.previousPromises(gd);\n};\n\nexports.doTicksRelayout = function(gd) {\n    Axes.doTicks(gd, 'redraw');\n\n    if(gd._fullLayout._hasOnlyLargeSploms) {\n        Registry.subplotsRegistry.splom.updateGrid(gd);\n        clearGlCanvases(gd);\n        exports.redrawReglTraces(gd);\n    }\n\n    exports.drawMainTitle(gd);\n    return Plots.previousPromises(gd);\n};\n\nexports.doModeBar = function(gd) {\n    var fullLayout = gd._fullLayout;\n\n    ModeBar.manage(gd);\n\n    for(var i = 0; i < fullLayout._basePlotModules.length; i++) {\n        var updateFx = fullLayout._basePlotModules[i].updateFx;\n        if(updateFx) updateFx(gd);\n    }\n\n    return Plots.previousPromises(gd);\n};\n\nexports.doCamera = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var sceneIds = fullLayout._subplots.gl3d;\n\n    for(var i = 0; i < sceneIds.length; i++) {\n        var sceneLayout = fullLayout[sceneIds[i]];\n        var scene = sceneLayout._scene;\n\n        scene.setCamera(sceneLayout.camera);\n    }\n};\n\nexports.drawData = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var calcdata = gd.calcdata;\n    var i;\n\n    // remove old colorbars explicitly\n    for(i = 0; i < calcdata.length; i++) {\n        var trace = calcdata[i][0].trace;\n        if(trace.visible !== true || !trace._module.colorbar) {\n            fullLayout._infolayer.select('.cb' + trace.uid).remove();\n        }\n    }\n\n    clearGlCanvases(gd);\n\n    // loop over the base plot modules present on graph\n    var basePlotModules = fullLayout._basePlotModules;\n    for(i = 0; i < basePlotModules.length; i++) {\n        basePlotModules[i].plot(gd);\n    }\n\n    exports.redrawReglTraces(gd);\n\n    // styling separate from drawing\n    Plots.style(gd);\n\n    // show annotations and shapes\n    Registry.getComponentMethod('shapes', 'draw')(gd);\n    Registry.getComponentMethod('annotations', 'draw')(gd);\n\n    // Mark the first render as complete\n    fullLayout._replotting = false;\n\n    return Plots.previousPromises(gd);\n};\n\n// Draw (or redraw) all regl-based traces in one go,\n// useful during drag and selection where buffers of targeted traces are updated,\n// but all traces need to be redrawn following clearGlCanvases.\n//\n// Note that _module.plot for regl trace does NOT draw things\n// on the canvas, they only update the buffers.\n// Drawing is perform here.\n//\n// TODO try adding per-subplot option using gl.SCISSOR_TEST for\n// non-overlaying, disjoint subplots.\n//\n// TODO try to include parcoords in here.\n// https://github.com/plotly/plotly.js/issues/3069\nexports.redrawReglTraces = function(gd) {\n    var fullLayout = gd._fullLayout;\n\n    if(fullLayout._has('regl')) {\n        var fullData = gd._fullData;\n        var cartesianIds = [];\n        var polarIds = [];\n        var i, sp;\n\n        if(fullLayout._hasOnlyLargeSploms) {\n            fullLayout._splomGrid.draw();\n        }\n\n        // N.B.\n        // - Loop over fullData (not _splomScenes) to preserve splom trace-to-trace ordering\n        // - Fill list if subplot ids (instead of fullLayout._subplots) to handle cases where all traces\n        //   of a given module are `visible !== true`\n        for(i = 0; i < fullData.length; i++) {\n            var trace = fullData[i];\n\n            if(trace.visible === true) {\n                if(trace.type === 'splom') {\n                    fullLayout._splomScenes[trace.uid].draw();\n                } else if(trace.type === 'scattergl') {\n                    Lib.pushUnique(cartesianIds, trace.xaxis + trace.yaxis);\n                } else if(trace.type === 'scatterpolargl') {\n                    Lib.pushUnique(polarIds, trace.subplot);\n                }\n            }\n        }\n\n        for(i = 0; i < cartesianIds.length; i++) {\n            sp = fullLayout._plots[cartesianIds[i]];\n            if(sp._scene) sp._scene.draw();\n        }\n\n        for(i = 0; i < polarIds.length; i++) {\n            sp = fullLayout[polarIds[i]]._subplot;\n            if(sp._scene) sp._scene.draw();\n        }\n    }\n};\n\nexports.doAutoRangeAndConstraints = function(gd) {\n    var axList = Axes.list(gd, '', true);\n\n    for(var i = 0; i < axList.length; i++) {\n        var ax = axList[i];\n        cleanAxisConstraints(gd, ax);\n        doAutoRange(gd, ax);\n    }\n\n    enforceAxisConstraints(gd);\n};\n\n// An initial paint must be completed before these components can be\n// correctly sized and the whole plot re-margined. fullLayout._replotting must\n// be set to false before these will work properly.\nexports.finalDraw = function(gd) {\n    Registry.getComponentMethod('shapes', 'draw')(gd);\n    Registry.getComponentMethod('images', 'draw')(gd);\n    Registry.getComponentMethod('annotations', 'draw')(gd);\n    // TODO: rangesliders really belong in marginPushers but they need to be\n    // drawn after data - can we at least get the margin pushing part separated\n    // out and done earlier?\n    Registry.getComponentMethod('rangeslider', 'draw')(gd);\n    // TODO: rangeselector only needs to be here (in addition to drawMarginPushers)\n    // because the margins need to be fully determined before we can call\n    // autorange and update axis ranges (which rangeselector needs to know which\n    // button is active). Can we break out its automargin step from its draw step?\n    Registry.getComponentMethod('rangeselector', 'draw')(gd);\n};\n\nexports.drawMarginPushers = function(gd) {\n    Registry.getComponentMethod('legend', 'draw')(gd);\n    Registry.getComponentMethod('rangeselector', 'draw')(gd);\n    Registry.getComponentMethod('sliders', 'draw')(gd);\n    Registry.getComponentMethod('updatemenus', 'draw')(gd);\n};\n\n},{\"../components/color\":570,\"../components/drawing\":595,\"../components/modebar\":633,\"../components/titles\":661,\"../constants/alignment\":668,\"../lib\":696,\"../lib/clear_gl_canvases\":679,\"../plots/cartesian/autorange\":744,\"../plots/cartesian/axes\":745,\"../plots/cartesian/constraints\":753,\"../plots/plots\":809,\"../registry\":828,\"d3\":148}],737:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar isPlainObject = Lib.isPlainObject;\nvar PlotSchema = _dereq_('./plot_schema');\nvar Plots = _dereq_('../plots/plots');\nvar plotAttributes = _dereq_('../plots/attributes');\nvar Template = _dereq_('./plot_template');\nvar dfltConfig = _dereq_('./plot_config');\n\n/**\n * Plotly.makeTemplate: create a template off an existing figure to reuse\n * style attributes on other figures.\n *\n * Note: separated from the rest of templates because otherwise we get circular\n * references due to PlotSchema.\n *\n * @param {object|DOM element} figure: The figure to base the template on\n *     should contain a trace array `figure.data`\n *     and a layout object `figure.layout`\n * @returns {object} template: the extracted template - can then be used as\n *     `layout.template` in another figure.\n */\nexports.makeTemplate = function(figure) {\n    figure = Lib.extendDeep({_context: dfltConfig}, {data: figure.data, layout: figure.layout});\n    Plots.supplyDefaults(figure);\n    var data = figure.data || [];\n    var layout = figure.layout || {};\n    // copy over a few items to help follow the schema\n    layout._basePlotModules = figure._fullLayout._basePlotModules;\n    layout._modules = figure._fullLayout._modules;\n\n    var template = {\n        data: {},\n        layout: {}\n    };\n\n    /*\n     * Note: we do NOT validate template values, we just take what's in the\n     * user inputs data and layout, not the validated values in fullData and\n     * fullLayout. Even if we were to validate here, there's no guarantee that\n     * these values would still be valid when applied to a new figure, which\n     * may contain different trace modes, different axes, etc. So it's\n     * important that when applying a template we still validate the template\n     * values, rather than just using them as defaults.\n     */\n\n    data.forEach(function(trace) {\n        // TODO: What if no style info is extracted for this trace. We may\n        // not want an empty object as the null value.\n        // TODO: allow transforms to contribute to templates?\n        // as it stands they are ignored, which may be for the best...\n\n        var traceTemplate = {};\n        walkStyleKeys(trace, traceTemplate, getTraceInfo.bind(null, trace));\n\n        var traceType = Lib.coerce(trace, {}, plotAttributes, 'type');\n        var typeTemplates = template.data[traceType];\n        if(!typeTemplates) typeTemplates = template.data[traceType] = [];\n        typeTemplates.push(traceTemplate);\n    });\n\n    walkStyleKeys(layout, template.layout, getLayoutInfo.bind(null, layout));\n\n    /*\n     * Compose the new template with an existing one to the same effect\n     *\n     * NOTE: there's a possibility of slightly different behavior: if the plot\n     * has an invalid value and the old template has a valid value for the same\n     * attribute, the plot will use the old template value but this routine\n     * will pull the invalid value (resulting in the original default).\n     * In the general case it's not possible to solve this with a single value,\n     * since valid options can be context-dependent. It could be solved with\n     * a *list* of values, but that would be huge complexity for little gain.\n     */\n    delete template.layout.template;\n    var oldTemplate = layout.template;\n    if(isPlainObject(oldTemplate)) {\n        var oldLayoutTemplate = oldTemplate.layout;\n\n        var i, traceType, oldTypeTemplates, oldTypeLen, typeTemplates, typeLen;\n\n        if(isPlainObject(oldLayoutTemplate)) {\n            mergeTemplates(oldLayoutTemplate, template.layout);\n        }\n        var oldDataTemplate = oldTemplate.data;\n        if(isPlainObject(oldDataTemplate)) {\n            for(traceType in template.data) {\n                oldTypeTemplates = oldDataTemplate[traceType];\n                if(Array.isArray(oldTypeTemplates)) {\n                    typeTemplates = template.data[traceType];\n                    typeLen = typeTemplates.length;\n                    oldTypeLen = oldTypeTemplates.length;\n                    for(i = 0; i < typeLen; i++) {\n                        mergeTemplates(oldTypeTemplates[i % oldTypeLen], typeTemplates[i]);\n                    }\n                    for(i = typeLen; i < oldTypeLen; i++) {\n                        typeTemplates.push(Lib.extendDeep({}, oldTypeTemplates[i]));\n                    }\n                }\n            }\n            for(traceType in oldDataTemplate) {\n                if(!(traceType in template.data)) {\n                    template.data[traceType] = Lib.extendDeep([], oldDataTemplate[traceType]);\n                }\n            }\n        }\n    }\n\n    return template;\n};\n\nfunction mergeTemplates(oldTemplate, newTemplate) {\n    // we don't care about speed here, just make sure we have a totally\n    // distinct object from the previous template\n    oldTemplate = Lib.extendDeep({}, oldTemplate);\n\n    // sort keys so we always get annotationdefaults before annotations etc\n    // so arrayTemplater will work right\n    var oldKeys = Object.keys(oldTemplate).sort();\n    var i, j;\n\n    function mergeOne(oldVal, newVal, key) {\n        if(isPlainObject(newVal) && isPlainObject(oldVal)) {\n            mergeTemplates(oldVal, newVal);\n        }\n        else if(Array.isArray(newVal) && Array.isArray(oldVal)) {\n            // Note: omitted `inclusionAttr` from arrayTemplater here,\n            // it's irrelevant as we only want the resulting `_template`.\n            var templater = Template.arrayTemplater({_template: oldTemplate}, key);\n            for(j = 0; j < newVal.length; j++) {\n                var item = newVal[j];\n                var oldItem = templater.newItem(item)._template;\n                if(oldItem) mergeTemplates(oldItem, item);\n            }\n            var defaultItems = templater.defaultItems();\n            for(j = 0; j < defaultItems.length; j++) newVal.push(defaultItems[j]._template);\n\n            // templateitemname only applies to receiving plots\n            for(j = 0; j < newVal.length; j++) delete newVal[j].templateitemname;\n        }\n    }\n\n    for(i = 0; i < oldKeys.length; i++) {\n        var key = oldKeys[i];\n        var oldVal = oldTemplate[key];\n        if(key in newTemplate) {\n            mergeOne(oldVal, newTemplate[key], key);\n        }\n        else newTemplate[key] = oldVal;\n\n        // if this is a base key from the old template (eg xaxis), look for\n        // extended keys (eg xaxis2) in the new template to merge into\n        if(getBaseKey(key) === key) {\n            for(var key2 in newTemplate) {\n                var baseKey2 = getBaseKey(key2);\n                if(key2 !== baseKey2 && baseKey2 === key && !(key2 in oldTemplate)) {\n                    mergeOne(oldVal, newTemplate[key2], key);\n                }\n            }\n        }\n    }\n}\n\nfunction getBaseKey(key) {\n    return key.replace(/[0-9]+$/, '');\n}\n\nfunction walkStyleKeys(parent, templateOut, getAttributeInfo, path, basePath) {\n    var pathAttr = basePath && getAttributeInfo(basePath);\n    for(var key in parent) {\n        var child = parent[key];\n        var nextPath = getNextPath(parent, key, path);\n        var nextBasePath = getNextPath(parent, key, basePath);\n        var attr = getAttributeInfo(nextBasePath);\n        if(!attr) {\n            var baseKey = getBaseKey(key);\n            if(baseKey !== key) {\n                nextBasePath = getNextPath(parent, baseKey, basePath);\n                attr = getAttributeInfo(nextBasePath);\n            }\n        }\n\n        // we'll get an attr if path starts with a valid part, then has an\n        // invalid ending. Make sure we got all the way to the end.\n        if(pathAttr && (pathAttr === attr)) continue;\n\n        if(!attr || attr._noTemplating ||\n            attr.valType === 'data_array' ||\n            (attr.arrayOk && Array.isArray(child))\n        ) {\n            continue;\n        }\n\n        if(!attr.valType && isPlainObject(child)) {\n            walkStyleKeys(child, templateOut, getAttributeInfo, nextPath, nextBasePath);\n        }\n        else if(attr._isLinkedToArray && Array.isArray(child)) {\n            var dfltDone = false;\n            var namedIndex = 0;\n            var usedNames = {};\n            for(var i = 0; i < child.length; i++) {\n                var item = child[i];\n                if(isPlainObject(item)) {\n                    var name = item.name;\n                    if(name) {\n                        if(!usedNames[name]) {\n                            // named array items: allow all attributes except data arrays\n                            walkStyleKeys(item, templateOut, getAttributeInfo,\n                                getNextPath(child, namedIndex, nextPath),\n                                getNextPath(child, namedIndex, nextBasePath));\n                            namedIndex++;\n                            usedNames[name] = 1;\n                        }\n                    }\n                    else if(!dfltDone) {\n                        var dfltKey = Template.arrayDefaultKey(key);\n                        var dfltPath = getNextPath(parent, dfltKey, path);\n\n                        // getAttributeInfo will fail if we try to use dfltKey directly.\n                        // Instead put this item into the next array element, then\n                        // pull it out and move it to dfltKey.\n                        var pathInArray = getNextPath(child, namedIndex, nextPath);\n                        walkStyleKeys(item, templateOut, getAttributeInfo, pathInArray,\n                            getNextPath(child, namedIndex, nextBasePath));\n                        var itemPropInArray = Lib.nestedProperty(templateOut, pathInArray);\n                        var dfltProp = Lib.nestedProperty(templateOut, dfltPath);\n                        dfltProp.set(itemPropInArray.get());\n                        itemPropInArray.set(null);\n\n                        dfltDone = true;\n                    }\n                }\n            }\n        }\n        else {\n            var templateProp = Lib.nestedProperty(templateOut, nextPath);\n            templateProp.set(child);\n        }\n    }\n}\n\nfunction getLayoutInfo(layout, path) {\n    return PlotSchema.getLayoutValObject(\n        layout, Lib.nestedProperty({}, path).parts\n    );\n}\n\nfunction getTraceInfo(trace, path) {\n    return PlotSchema.getTraceValObject(\n        trace, Lib.nestedProperty({}, path).parts\n    );\n}\n\nfunction getNextPath(parent, key, path) {\n    var nextPath;\n    if(!path) nextPath = key;\n    else if(Array.isArray(parent)) nextPath = path + '[' + key + ']';\n    else nextPath = path + '.' + key;\n\n    return nextPath;\n}\n\n/**\n * validateTemplate: Test for consistency between the given figure and\n * a template, either already included in the figure or given separately.\n * Note that not every issue we identify here is necessarily a problem,\n * it depends on what you're using the template for.\n *\n * @param {object|DOM element} figure: the plot, with {data, layout} members,\n *     to test the template against\n * @param {Optional(object)} template: the template, with its own {data, layout},\n *     to test. If omitted, we will look for a template already attached as the\n *     plot's `layout.template` attribute.\n *\n * @returns {array} array of error objects each containing:\n *  - {string} code\n *      error code ('missing', 'unused', 'reused', 'noLayout', 'noData')\n *  - {string} msg\n *      a full readable description of the issue.\n */\nexports.validateTemplate = function(figureIn, template) {\n    var figure = Lib.extendDeep({}, {\n        _context: dfltConfig,\n        data: figureIn.data,\n        layout: figureIn.layout\n    });\n    var layout = figure.layout || {};\n    if(!isPlainObject(template)) template = layout.template || {};\n    var layoutTemplate = template.layout;\n    var dataTemplate = template.data;\n    var errorList = [];\n\n    figure.layout = layout;\n    figure.layout.template = template;\n    Plots.supplyDefaults(figure);\n\n    var fullLayout = figure._fullLayout;\n    var fullData = figure._fullData;\n\n    var layoutPaths = {};\n    function crawlLayoutForContainers(obj, paths) {\n        for(var key in obj) {\n            if(key.charAt(0) !== '_' && isPlainObject(obj[key])) {\n                var baseKey = getBaseKey(key);\n                var nextPaths = [];\n                var i;\n                for(i = 0; i < paths.length; i++) {\n                    nextPaths.push(getNextPath(obj, key, paths[i]));\n                    if(baseKey !== key) nextPaths.push(getNextPath(obj, baseKey, paths[i]));\n                }\n                for(i = 0; i < nextPaths.length; i++) {\n                    layoutPaths[nextPaths[i]] = 1;\n                }\n                crawlLayoutForContainers(obj[key], nextPaths);\n            }\n        }\n    }\n\n    function crawlLayoutTemplateForContainers(obj, path) {\n        for(var key in obj) {\n            if(key.indexOf('defaults') === -1 && isPlainObject(obj[key])) {\n                var nextPath = getNextPath(obj, key, path);\n                if(layoutPaths[nextPath]) {\n                    crawlLayoutTemplateForContainers(obj[key], nextPath);\n                }\n                else {\n                    errorList.push({code: 'unused', path: nextPath});\n                }\n            }\n        }\n    }\n\n    if(!isPlainObject(layoutTemplate)) {\n        errorList.push({code: 'layout'});\n    }\n    else {\n        crawlLayoutForContainers(fullLayout, ['layout']);\n        crawlLayoutTemplateForContainers(layoutTemplate, 'layout');\n    }\n\n    if(!isPlainObject(dataTemplate)) {\n        errorList.push({code: 'data'});\n    }\n    else {\n        var typeCount = {};\n        var traceType;\n        for(var i = 0; i < fullData.length; i++) {\n            var fullTrace = fullData[i];\n            traceType = fullTrace.type;\n            typeCount[traceType] = (typeCount[traceType] || 0) + 1;\n            if(!fullTrace._fullInput._template) {\n                // this takes care of the case of traceType in the data but not\n                // the template\n                errorList.push({\n                    code: 'missing',\n                    index: fullTrace._fullInput.index,\n                    traceType: traceType\n                });\n            }\n        }\n        for(traceType in dataTemplate) {\n            var templateCount = dataTemplate[traceType].length;\n            var dataCount = typeCount[traceType] || 0;\n            if(templateCount > dataCount) {\n                errorList.push({\n                    code: 'unused',\n                    traceType: traceType,\n                    templateCount: templateCount,\n                    dataCount: dataCount\n                });\n            }\n            else if(dataCount > templateCount) {\n                errorList.push({\n                    code: 'reused',\n                    traceType: traceType,\n                    templateCount: templateCount,\n                    dataCount: dataCount\n                });\n            }\n        }\n    }\n\n    // _template: false is when someone tried to modify an array item\n    // but there was no template with matching name\n    function crawlForMissingTemplates(obj, path) {\n        for(var key in obj) {\n            if(key.charAt(0) === '_') continue;\n            var val = obj[key];\n            var nextPath = getNextPath(obj, key, path);\n            if(isPlainObject(val)) {\n                if(Array.isArray(obj) && val._template === false && val.templateitemname) {\n                    errorList.push({\n                        code: 'missing',\n                        path: nextPath,\n                        templateitemname: val.templateitemname\n                    });\n                }\n                crawlForMissingTemplates(val, nextPath);\n            }\n            else if(Array.isArray(val) && hasPlainObject(val)) {\n                crawlForMissingTemplates(val, nextPath);\n            }\n        }\n    }\n    crawlForMissingTemplates({data: fullData, layout: fullLayout}, '');\n\n    if(errorList.length) return errorList.map(format);\n};\n\nfunction hasPlainObject(arr) {\n    for(var i = 0; i < arr.length; i++) {\n        if(isPlainObject(arr[i])) return true;\n    }\n}\n\nfunction format(opts) {\n    var msg;\n    switch(opts.code) {\n        case 'data':\n            msg = 'The template has no key data.';\n            break;\n        case 'layout':\n            msg = 'The template has no key layout.';\n            break;\n        case 'missing':\n            if(opts.path) {\n                msg = 'There are no templates for item ' + opts.path +\n                    ' with name ' + opts.templateitemname;\n            }\n            else {\n                msg = 'There are no templates for trace ' + opts.index +\n                    ', of type ' + opts.traceType + '.';\n            }\n            break;\n        case 'unused':\n            if(opts.path) {\n                msg = 'The template item at ' + opts.path +\n                    ' was not used in constructing the plot.';\n            }\n            else if(opts.dataCount) {\n                msg = 'Some of the templates of type ' + opts.traceType +\n                    ' were not used. The template has ' + opts.templateCount +\n                    ' traces, the data only has ' + opts.dataCount +\n                    ' of this type.';\n            }\n            else {\n                msg = 'The template has ' + opts.templateCount +\n                    ' traces of type ' + opts.traceType +\n                    ' but there are none in the data.';\n            }\n            break;\n        case 'reused':\n            msg = 'Some of the templates of type ' + opts.traceType +\n                ' were used more than once. The template has ' +\n                opts.templateCount + ' traces, the data has ' +\n                opts.dataCount + ' of this type.';\n            break;\n    }\n    opts.msg = msg;\n\n    return opts;\n}\n\n},{\"../lib\":696,\"../plots/attributes\":742,\"../plots/plots\":809,\"./plot_config\":733,\"./plot_schema\":734,\"./plot_template\":735}],738:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar plotApi = _dereq_('./plot_api');\nvar Lib = _dereq_('../lib');\n\nvar helpers = _dereq_('../snapshot/helpers');\nvar toSVG = _dereq_('../snapshot/tosvg');\nvar svgToImg = _dereq_('../snapshot/svgtoimg');\n\nvar attrs = {\n    format: {\n        valType: 'enumerated',\n        values: ['png', 'jpeg', 'webp', 'svg'],\n        dflt: 'png',\n        \n    },\n    width: {\n        valType: 'number',\n        min: 1,\n        \n    },\n    height: {\n        valType: 'number',\n        min: 1,\n        \n    },\n    scale: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n    },\n    setBackground: {\n        valType: 'any',\n        dflt: false,\n        \n    },\n    imageDataOnly: {\n        valType: 'boolean',\n        dflt: false,\n        \n    }\n};\n\nvar IMAGE_URL_PREFIX = /^data:image\\/\\w+;base64,/;\n\n/** Plotly.toImage\n *\n * @param {object | string | HTML div} gd\n *   can either be a data/layout/config object\n *   or an existing graph <div>\n *   or an id to an existing graph <div>\n * @param {object} opts (see above)\n * @return {promise}\n */\nfunction toImage(gd, opts) {\n    opts = opts || {};\n\n    var data;\n    var layout;\n    var config;\n\n    if(Lib.isPlainObject(gd)) {\n        data = gd.data || [];\n        layout = gd.layout || {};\n        config = gd.config || {};\n    } else {\n        gd = Lib.getGraphDiv(gd);\n        data = Lib.extendDeep([], gd.data);\n        layout = Lib.extendDeep({}, gd.layout);\n        config = gd._context;\n    }\n\n    function isImpliedOrValid(attr) {\n        return !(attr in opts) || Lib.validate(opts[attr], attrs[attr]);\n    }\n\n    if(!isImpliedOrValid('width') || !isImpliedOrValid('height')) {\n        throw new Error('Height and width should be pixel values.');\n    }\n\n    if(!isImpliedOrValid('format')) {\n        throw new Error('Image format is not jpeg, png, svg or webp.');\n    }\n\n    var fullOpts = {};\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(opts, fullOpts, attrs, attr, dflt);\n    }\n\n    var format = coerce('format');\n    var width = coerce('width');\n    var height = coerce('height');\n    var scale = coerce('scale');\n    var setBackground = coerce('setBackground');\n    var imageDataOnly = coerce('imageDataOnly');\n\n    // put the cloned div somewhere off screen before attaching to DOM\n    var clonedGd = document.createElement('div');\n    clonedGd.style.position = 'absolute';\n    clonedGd.style.left = '-5000px';\n    document.body.appendChild(clonedGd);\n\n    // extend layout with image options\n    var layoutImage = Lib.extendFlat({}, layout);\n    if(width) layoutImage.width = width;\n    if(height) layoutImage.height = height;\n\n    // extend config for static plot\n    var configImage = Lib.extendFlat({}, config, {\n        staticPlot: true,\n        setBackground: setBackground\n    });\n\n    var redrawFunc = helpers.getRedrawFunc(clonedGd);\n\n    function wait() {\n        return new Promise(function(resolve) {\n            setTimeout(resolve, helpers.getDelay(clonedGd._fullLayout));\n        });\n    }\n\n    function convert() {\n        return new Promise(function(resolve, reject) {\n            var svg = toSVG(clonedGd, format, scale);\n            var width = clonedGd._fullLayout.width;\n            var height = clonedGd._fullLayout.height;\n\n            plotApi.purge(clonedGd);\n            document.body.removeChild(clonedGd);\n\n            if(format === 'svg') {\n                if(imageDataOnly) {\n                    return resolve(svg);\n                } else {\n                    return resolve('data:image/svg+xml,' + encodeURIComponent(svg));\n                }\n            }\n\n            var canvas = document.createElement('canvas');\n            canvas.id = Lib.randstr();\n\n            svgToImg({\n                format: format,\n                width: width,\n                height: height,\n                scale: scale,\n                canvas: canvas,\n                svg: svg,\n                // ask svgToImg to return a Promise\n                //  rather than EventEmitter\n                //  leave EventEmitter for backward\n                //  compatibility\n                promise: true\n            })\n            .then(resolve)\n            .catch(reject);\n        });\n    }\n\n    function urlToImageData(url) {\n        if(imageDataOnly) {\n            return url.replace(IMAGE_URL_PREFIX, '');\n        } else {\n            return url;\n        }\n    }\n\n    return new Promise(function(resolve, reject) {\n        plotApi.plot(clonedGd, data, layoutImage, configImage)\n            .then(redrawFunc)\n            .then(wait)\n            .then(convert)\n            .then(function(url) { resolve(urlToImageData(url)); })\n            .catch(function(err) { reject(err); });\n    });\n}\n\nmodule.exports = toImage;\n\n},{\"../lib\":696,\"../snapshot/helpers\":832,\"../snapshot/svgtoimg\":834,\"../snapshot/tosvg\":836,\"./plot_api\":732}],739:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar Plots = _dereq_('../plots/plots');\nvar PlotSchema = _dereq_('./plot_schema');\nvar dfltConfig = _dereq_('./plot_config');\n\nvar isPlainObject = Lib.isPlainObject;\nvar isArray = Array.isArray;\nvar isArrayOrTypedArray = Lib.isArrayOrTypedArray;\n\n/**\n * Validate a data array and layout object.\n *\n * @param {array} data\n * @param {object} layout\n *\n * @return {array} array of error objects each containing:\n *  - {string} code\n *      error code ('object', 'array', 'schema', 'unused', 'invisible' or 'value')\n *  - {string} container\n *      container where the error occurs ('data' or 'layout')\n *  - {number} trace\n *      trace index of the 'data' container where the error occurs\n *  - {array} path\n *      nested path to the key that causes the error\n *  - {string} astr\n *      attribute string variant of 'path' compatible with Plotly.restyle and\n *      Plotly.relayout.\n *  - {string} msg\n *      error message (shown in console in logger config argument is enable)\n */\nmodule.exports = function validate(data, layout) {\n    var schema = PlotSchema.get();\n    var errorList = [];\n    var gd = {_context: Lib.extendFlat({}, dfltConfig)};\n\n    var dataIn, layoutIn;\n\n    if(isArray(data)) {\n        gd.data = Lib.extendDeep([], data);\n        dataIn = data;\n    }\n    else {\n        gd.data = [];\n        dataIn = [];\n        errorList.push(format('array', 'data'));\n    }\n\n    if(isPlainObject(layout)) {\n        gd.layout = Lib.extendDeep({}, layout);\n        layoutIn = layout;\n    }\n    else {\n        gd.layout = {};\n        layoutIn = {};\n        if(arguments.length > 1) {\n            errorList.push(format('object', 'layout'));\n        }\n    }\n\n    // N.B. dataIn and layoutIn are in general not the same as\n    // gd.data and gd.layout after supplyDefaults as some attributes\n    // in gd.data and gd.layout (still) get mutated during this step.\n\n    Plots.supplyDefaults(gd);\n\n    var dataOut = gd._fullData,\n        len = dataIn.length;\n\n    for(var i = 0; i < len; i++) {\n        var traceIn = dataIn[i],\n            base = ['data', i];\n\n        if(!isPlainObject(traceIn)) {\n            errorList.push(format('object', base));\n            continue;\n        }\n\n        var traceOut = dataOut[i],\n            traceType = traceOut.type,\n            traceSchema = schema.traces[traceType].attributes;\n\n        // PlotSchema does something fancy with trace 'type', reset it here\n        // to make the trace schema compatible with Lib.validate.\n        traceSchema.type = {\n            valType: 'enumerated',\n            values: [traceType]\n        };\n\n        if(traceOut.visible === false && traceIn.visible !== false) {\n            errorList.push(format('invisible', base));\n        }\n\n        crawl(traceIn, traceOut, traceSchema, errorList, base);\n\n        var transformsIn = traceIn.transforms,\n            transformsOut = traceOut.transforms;\n\n        if(transformsIn) {\n            if(!isArray(transformsIn)) {\n                errorList.push(format('array', base, ['transforms']));\n            }\n\n            base.push('transforms');\n\n            for(var j = 0; j < transformsIn.length; j++) {\n                var path = ['transforms', j],\n                    transformType = transformsIn[j].type;\n\n                if(!isPlainObject(transformsIn[j])) {\n                    errorList.push(format('object', base, path));\n                    continue;\n                }\n\n                var transformSchema = schema.transforms[transformType] ?\n                    schema.transforms[transformType].attributes :\n                    {};\n\n                // add 'type' to transform schema to validate the transform type\n                transformSchema.type = {\n                    valType: 'enumerated',\n                    values: Object.keys(schema.transforms)\n                };\n\n                crawl(transformsIn[j], transformsOut[j], transformSchema, errorList, base, path);\n            }\n        }\n    }\n\n    var layoutOut = gd._fullLayout,\n        layoutSchema = fillLayoutSchema(schema, dataOut);\n\n    crawl(layoutIn, layoutOut, layoutSchema, errorList, 'layout');\n\n    // return undefined if no validation errors were found\n    return (errorList.length === 0) ? void(0) : errorList;\n};\n\nfunction crawl(objIn, objOut, schema, list, base, path) {\n    path = path || [];\n\n    var keys = Object.keys(objIn);\n\n    for(var i = 0; i < keys.length; i++) {\n        var k = keys[i];\n\n        // transforms are handled separately\n        if(k === 'transforms') continue;\n\n        var p = path.slice();\n        p.push(k);\n\n        var valIn = objIn[k],\n            valOut = objOut[k];\n\n        var nestedSchema = getNestedSchema(schema, k);\n        var isInfoArray = (nestedSchema || {}).valType === 'info_array';\n        var isColorscale = (nestedSchema || {}).valType === 'colorscale';\n        var items = (nestedSchema || {}).items;\n\n        if(!isInSchema(schema, k)) {\n            list.push(format('schema', base, p));\n        }\n        else if(isPlainObject(valIn) && isPlainObject(valOut)) {\n            crawl(valIn, valOut, nestedSchema, list, base, p);\n        }\n        else if(isInfoArray && isArray(valIn)) {\n            if(valIn.length > valOut.length) {\n                list.push(format('unused', base, p.concat(valOut.length)));\n            }\n            var len = valOut.length;\n            var arrayItems = Array.isArray(items);\n            if(arrayItems) len = Math.min(len, items.length);\n            var m, n, item, valInPart, valOutPart;\n            if(nestedSchema.dimensions === 2) {\n                for(n = 0; n < len; n++) {\n                    if(isArray(valIn[n])) {\n                        if(valIn[n].length > valOut[n].length) {\n                            list.push(format('unused', base, p.concat(n, valOut[n].length)));\n                        }\n                        var len2 = valOut[n].length;\n                        for(m = 0; m < (arrayItems ? Math.min(len2, items[n].length) : len2); m++) {\n                            item = arrayItems ? items[n][m] : items;\n                            valInPart = valIn[n][m];\n                            valOutPart = valOut[n][m];\n                            if(!Lib.validate(valInPart, item)) {\n                                list.push(format('value', base, p.concat(n, m), valInPart));\n                            }\n                            else if(valOutPart !== valInPart && valOutPart !== +valInPart) {\n                                list.push(format('dynamic', base, p.concat(n, m), valInPart, valOutPart));\n                            }\n                        }\n                    }\n                    else {\n                        list.push(format('array', base, p.concat(n), valIn[n]));\n                    }\n                }\n            }\n            else {\n                for(n = 0; n < len; n++) {\n                    item = arrayItems ? items[n] : items;\n                    valInPart = valIn[n];\n                    valOutPart = valOut[n];\n                    if(!Lib.validate(valInPart, item)) {\n                        list.push(format('value', base, p.concat(n), valInPart));\n                    }\n                    else if(valOutPart !== valInPart && valOutPart !== +valInPart) {\n                        list.push(format('dynamic', base, p.concat(n), valInPart, valOutPart));\n                    }\n                }\n            }\n        }\n        else if(nestedSchema.items && !isInfoArray && isArray(valIn)) {\n            var _nestedSchema = items[Object.keys(items)[0]],\n                indexList = [];\n\n            var j, _p;\n\n            // loop over valOut items while keeping track of their\n            // corresponding input container index (given by _index)\n            for(j = 0; j < valOut.length; j++) {\n                var _index = valOut[j]._index || j;\n\n                _p = p.slice();\n                _p.push(_index);\n\n                if(isPlainObject(valIn[_index]) && isPlainObject(valOut[j])) {\n                    indexList.push(_index);\n                    var valInj = valIn[_index];\n                    var valOutj = valOut[j];\n                    if(isPlainObject(valInj) && valInj.visible !== false && valOutj.visible === false) {\n                        list.push(format('invisible', base, _p));\n                    }\n                    else crawl(valInj, valOutj, _nestedSchema, list, base, _p);\n                }\n            }\n\n            // loop over valIn to determine where it went wrong for some items\n            for(j = 0; j < valIn.length; j++) {\n                _p = p.slice();\n                _p.push(j);\n\n                if(!isPlainObject(valIn[j])) {\n                    list.push(format('object', base, _p, valIn[j]));\n                }\n                else if(indexList.indexOf(j) === -1) {\n                    list.push(format('unused', base, _p));\n                }\n            }\n        }\n        else if(!isPlainObject(valIn) && isPlainObject(valOut)) {\n            list.push(format('object', base, p, valIn));\n        }\n        else if(!isArrayOrTypedArray(valIn) && isArrayOrTypedArray(valOut) && !isInfoArray && !isColorscale) {\n            list.push(format('array', base, p, valIn));\n        }\n        else if(!(k in objOut)) {\n            list.push(format('unused', base, p, valIn));\n        }\n        else if(!Lib.validate(valIn, nestedSchema)) {\n            list.push(format('value', base, p, valIn));\n        }\n        else if(nestedSchema.valType === 'enumerated' &&\n            ((nestedSchema.coerceNumber && valIn !== +valOut) || valIn !== valOut)\n        ) {\n            list.push(format('dynamic', base, p, valIn, valOut));\n        }\n    }\n\n    return list;\n}\n\n// the 'full' layout schema depends on the traces types presents\nfunction fillLayoutSchema(schema, dataOut) {\n    var layoutSchema = schema.layout.layoutAttributes;\n\n    for(var i = 0; i < dataOut.length; i++) {\n        var traceOut = dataOut[i];\n        var traceSchema = schema.traces[traceOut.type];\n        var traceLayoutAttr = traceSchema.layoutAttributes;\n\n        if(traceLayoutAttr) {\n            if(traceOut.subplot) {\n                Lib.extendFlat(layoutSchema[traceSchema.attributes.subplot.dflt], traceLayoutAttr);\n            } else {\n                Lib.extendFlat(layoutSchema, traceLayoutAttr);\n            }\n        }\n    }\n\n    return layoutSchema;\n}\n\n// validation error codes\nvar code2msgFunc = {\n    object: function(base, astr) {\n        var prefix;\n\n        if(base === 'layout' && astr === '') prefix = 'The layout argument';\n        else if(base[0] === 'data' && astr === '') {\n            prefix = 'Trace ' + base[1] + ' in the data argument';\n        }\n        else prefix = inBase(base) + 'key ' + astr;\n\n        return prefix + ' must be linked to an object container';\n    },\n    array: function(base, astr) {\n        var prefix;\n\n        if(base === 'data') prefix = 'The data argument';\n        else prefix = inBase(base) + 'key ' + astr;\n\n        return prefix + ' must be linked to an array container';\n    },\n    schema: function(base, astr) {\n        return inBase(base) + 'key ' + astr + ' is not part of the schema';\n    },\n    unused: function(base, astr, valIn) {\n        var target = isPlainObject(valIn) ? 'container' : 'key';\n\n        return inBase(base) + target + ' ' + astr + ' did not get coerced';\n    },\n    dynamic: function(base, astr, valIn, valOut) {\n        return [\n            inBase(base) + 'key',\n            astr,\n            '(set to \\'' + valIn + '\\')',\n            'got reset to',\n            '\\'' + valOut + '\\'',\n            'during defaults.'\n        ].join(' ');\n    },\n    invisible: function(base, astr) {\n        return (\n            astr ? (inBase(base) + 'item ' + astr) : ('Trace ' + base[1])\n        ) + ' got defaulted to be not visible';\n    },\n    value: function(base, astr, valIn) {\n        return [\n            inBase(base) + 'key ' + astr,\n            'is set to an invalid value (' + valIn + ')'\n        ].join(' ');\n    }\n};\n\nfunction inBase(base) {\n    if(isArray(base)) return 'In data trace ' + base[1] + ', ';\n\n    return 'In ' + base + ', ';\n}\n\nfunction format(code, base, path, valIn, valOut) {\n    path = path || '';\n\n    var container, trace;\n\n    // container is either 'data' or 'layout\n    // trace is the trace index if 'data', null otherwise\n\n    if(isArray(base)) {\n        container = base[0];\n        trace = base[1];\n    }\n    else {\n        container = base;\n        trace = null;\n    }\n\n    var astr = convertPathToAttributeString(path);\n    var msg = code2msgFunc[code](base, astr, valIn, valOut);\n\n    // log to console if logger config option is enabled\n    Lib.log(msg);\n\n    return {\n        code: code,\n        container: container,\n        trace: trace,\n        path: path,\n        astr: astr,\n        msg: msg\n    };\n}\n\nfunction isInSchema(schema, key) {\n    var parts = splitKey(key),\n        keyMinusId = parts.keyMinusId,\n        id = parts.id;\n\n    if((keyMinusId in schema) && schema[keyMinusId]._isSubplotObj && id) {\n        return true;\n    }\n\n    return (key in schema);\n}\n\nfunction getNestedSchema(schema, key) {\n    if(key in schema) return schema[key];\n\n    var parts = splitKey(key);\n\n    return schema[parts.keyMinusId];\n}\n\nvar idRegex = Lib.counterRegex('([a-z]+)');\n\nfunction splitKey(key) {\n    var idMatch = key.match(idRegex);\n\n    return {\n        keyMinusId: idMatch && idMatch[1],\n        id: idMatch && idMatch[2]\n    };\n}\n\nfunction convertPathToAttributeString(path) {\n    if(!isArray(path)) return String(path);\n\n    var astr = '';\n\n    for(var i = 0; i < path.length; i++) {\n        var p = path[i];\n\n        if(typeof p === 'number') {\n            astr = astr.substr(0, astr.length - 1) + '[' + p + ']';\n        }\n        else {\n            astr += p;\n        }\n\n        if(i < path.length - 1) astr += '.';\n    }\n\n    return astr;\n}\n\n},{\"../lib\":696,\"../plots/plots\":809,\"./plot_config\":733,\"./plot_schema\":734}],740:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    mode: {\n        valType: 'enumerated',\n        dflt: 'afterall',\n        \n        values: ['immediate', 'next', 'afterall'],\n        \n    },\n    direction: {\n        valType: 'enumerated',\n        \n        values: ['forward', 'reverse'],\n        dflt: 'forward',\n        \n    },\n    fromcurrent: {\n        valType: 'boolean',\n        dflt: false,\n        \n        \n    },\n    frame: {\n        duration: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 500,\n            \n        },\n        redraw: {\n            valType: 'boolean',\n            \n            dflt: true,\n            \n        },\n    },\n    transition: {\n        duration: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 500,\n            \n        },\n        easing: {\n            valType: 'enumerated',\n            dflt: 'cubic-in-out',\n            values: [\n                'linear',\n                'quad',\n                'cubic',\n                'sin',\n                'exp',\n                'circle',\n                'elastic',\n                'back',\n                'bounce',\n                'linear-in',\n                'quad-in',\n                'cubic-in',\n                'sin-in',\n                'exp-in',\n                'circle-in',\n                'elastic-in',\n                'back-in',\n                'bounce-in',\n                'linear-out',\n                'quad-out',\n                'cubic-out',\n                'sin-out',\n                'exp-out',\n                'circle-out',\n                'elastic-out',\n                'back-out',\n                'bounce-out',\n                'linear-in-out',\n                'quad-in-out',\n                'cubic-in-out',\n                'sin-in-out',\n                'exp-in-out',\n                'circle-in-out',\n                'elastic-in-out',\n                'back-in-out',\n                'bounce-in-out'\n            ],\n            \n            \n        },\n    }\n};\n\n},{}],741:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar Template = _dereq_('../plot_api/plot_template');\n\n/** Convenience wrapper for making array container logic DRY and consistent\n *\n * @param {object} parentObjIn\n *  user input object where the container in question is linked\n *  (i.e. either a user trace object or the user layout object)\n *\n * @param {object} parentObjOut\n *  full object where the coerced container will be linked\n *  (i.e. either a full trace object or the full layout object)\n *\n * @param {object} opts\n *  options object:\n *   - name {string}\n *      name of the key linking the container in question\n *   - inclusionAttr {string}\n *      name of the item attribute for inclusion/exclusion. Default is 'visible'.\n *      Since inclusion is true, use eg 'enabled' instead of 'disabled'.\n *   - handleItemDefaults {function}\n *      defaults method to be called on each item in the array container in question\n *\n *      Its arguments are:\n *          - itemIn {object} item in user layout\n *          - itemOut {object} item in full layout\n *          - parentObj {object} (as in closure)\n *          - opts {object} (as in closure)\n * N.B.\n *\n *  - opts is passed to handleItemDefaults so it can also store\n *    links to supplementary data (e.g. fullData for layout components)\n *\n */\nmodule.exports = function handleArrayContainerDefaults(parentObjIn, parentObjOut, opts) {\n    var name = opts.name;\n    var inclusionAttr = opts.inclusionAttr || 'visible';\n\n    var previousContOut = parentObjOut[name];\n\n    var contIn = Lib.isArrayOrTypedArray(parentObjIn[name]) ? parentObjIn[name] : [];\n    var contOut = parentObjOut[name] = [];\n    var templater = Template.arrayTemplater(parentObjOut, name, inclusionAttr);\n    var i, itemOut;\n\n    for(i = 0; i < contIn.length; i++) {\n        var itemIn = contIn[i];\n\n        if(!Lib.isPlainObject(itemIn)) {\n            itemOut = templater.newItem({});\n            itemOut[inclusionAttr] = false;\n        }\n        else {\n            itemOut = templater.newItem(itemIn);\n        }\n\n        itemOut._index = i;\n\n        if(itemOut[inclusionAttr] !== false) {\n            opts.handleItemDefaults(itemIn, itemOut, parentObjOut, opts);\n        }\n\n        contOut.push(itemOut);\n    }\n\n    var defaultItems = templater.defaultItems();\n    for(i = 0; i < defaultItems.length; i++) {\n        itemOut = defaultItems[i];\n        itemOut._index = contOut.length;\n        opts.handleItemDefaults({}, itemOut, parentObjOut, opts, {});\n        contOut.push(itemOut);\n    }\n\n    // in case this array gets its defaults rebuilt independent of the whole layout,\n    // relink the private keys just for this array.\n    if(Lib.isArrayOrTypedArray(previousContOut)) {\n        var len = Math.min(previousContOut.length, contOut.length);\n        for(i = 0; i < len; i++) {\n            Lib.relinkPrivateKeys(contOut[i], previousContOut[i]);\n        }\n    }\n\n    return contOut;\n};\n\n},{\"../lib\":696,\"../plot_api/plot_template\":735}],742:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fxAttrs = _dereq_('../components/fx/attributes');\n\nmodule.exports = {\n    type: {\n        valType: 'enumerated',\n        \n        values: [],     // listed dynamically\n        dflt: 'scatter',\n        editType: 'calc+clearAxisTypes',\n        _noTemplating: true // we handle this at a higher level\n    },\n    visible: {\n        valType: 'enumerated',\n        values: [true, false, 'legendonly'],\n        \n        dflt: true,\n        editType: 'calc',\n        \n    },\n    showlegend: {\n        valType: 'boolean',\n        \n        dflt: true,\n        editType: 'style',\n        \n    },\n    legendgroup: {\n        valType: 'string',\n        \n        dflt: '',\n        editType: 'style',\n        \n    },\n    opacity: {\n        valType: 'number',\n        \n        min: 0,\n        max: 1,\n        dflt: 1,\n        editType: 'style',\n        \n    },\n    name: {\n        valType: 'string',\n        \n        editType: 'style',\n        \n    },\n    uid: {\n        valType: 'string',\n        \n        editType: 'plot'\n    },\n    ids: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    customdata: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n\n    // N.B. these cannot be 'data_array' as they do not have the same length as\n    // other data arrays and arrayOk attributes in general\n    //\n    // Maybe add another valType:\n    // https://github.com/plotly/plotly.js/issues/1894\n    selectedpoints: {\n        valType: 'any',\n        \n        editType: 'calc',\n        \n    },\n\n    hoverinfo: {\n        valType: 'flaglist',\n        \n        flags: ['x', 'y', 'z', 'text', 'name'],\n        extras: ['all', 'none', 'skip'],\n        arrayOk: true,\n        dflt: 'all',\n        editType: 'none',\n        \n    },\n    hoverlabel: fxAttrs.hoverlabel,\n    stream: {\n        token: {\n            valType: 'string',\n            noBlank: true,\n            strict: true,\n            \n            editType: 'calc',\n            \n        },\n        maxpoints: {\n            valType: 'number',\n            min: 0,\n            max: 10000,\n            dflt: 500,\n            \n            editType: 'calc',\n            \n        },\n        editType: 'calc'\n    },\n    transforms: {\n        _isLinkedToArray: 'transform',\n        editType: 'calc',\n        \n    }\n};\n\n},{\"../components/fx/attributes\":604}],743:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n    xaxis: {\n        valType: 'subplotid',\n        \n        dflt: 'x',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n    yaxis: {\n        valType: 'subplotid',\n        \n        dflt: 'y',\n        editType: 'calc+clearAxisTypes',\n        \n    }\n};\n\n},{}],744:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\nvar FP_SAFE = _dereq_('../../constants/numerical').FP_SAFE;\n\nmodule.exports = {\n    getAutoRange: getAutoRange,\n    makePadFn: makePadFn,\n    doAutoRange: doAutoRange,\n    findExtremes: findExtremes,\n    concatExtremes: concatExtremes\n};\n\n/**\n * getAutoRange\n *\n * Collects all _extremes values corresponding to a given axis\n * and computes its auto range.\n *\n * Note that getAutoRange uses return values from findExtremes.\n *\n * @param {object} gd:\n *   graph div object with filled-in fullData and fullLayout, in particular\n *   with filled-in '_extremes' containers:\n *   {\n *      val: calcdata value,\n *      pad: extra pixels beyond this value,\n *      extrapad: bool, does this point want 5% extra padding\n *   }\n * @param {object} ax:\n *   full axis object, in particular with filled-in '_traceIndices'\n *   and '_annIndices' / '_shapeIndices' if applicable\n * @return {array}\n *   an array of [min, max]. These are calcdata for log and category axes\n *   and data for linear and date axes.\n *\n * TODO: we want to change log to data as well, but it's hard to do this\n * maintaining backward compatibility. category will always have to use calcdata\n * though, because otherwise values between categories (or outside all categories)\n * would be impossible.\n */\nfunction getAutoRange(gd, ax) {\n    var i, j;\n    var newRange = [];\n\n    var getPad = makePadFn(ax);\n    var extremes = concatExtremes(gd, ax);\n    var minArray = extremes.min;\n    var maxArray = extremes.max;\n\n    if(minArray.length === 0 || maxArray.length === 0) {\n        return Lib.simpleMap(ax.range, ax.r2l);\n    }\n\n    var minmin = minArray[0].val;\n    var maxmax = maxArray[0].val;\n\n    for(i = 1; i < minArray.length; i++) {\n        if(minmin !== maxmax) break;\n        minmin = Math.min(minmin, minArray[i].val);\n    }\n    for(i = 1; i < maxArray.length; i++) {\n        if(minmin !== maxmax) break;\n        maxmax = Math.max(maxmax, maxArray[i].val);\n    }\n\n    var axReverse = false;\n\n    if(ax.range) {\n        var rng = Lib.simpleMap(ax.range, ax.r2l);\n        axReverse = rng[1] < rng[0];\n    }\n    // one-time setting to easily reverse the axis\n    // when plotting from code\n    if(ax.autorange === 'reversed') {\n        axReverse = true;\n        ax.autorange = true;\n    }\n\n    var rangeMode = ax.rangemode;\n    var toZero = rangeMode === 'tozero';\n    var nonNegative = rangeMode === 'nonnegative';\n    var axLen = ax._length;\n    // don't allow padding to reduce the data to < 10% of the length\n    var minSpan = axLen / 10;\n\n    var mbest = 0;\n    var minpt, maxpt, minbest, maxbest, dp, dv;\n\n    for(i = 0; i < minArray.length; i++) {\n        minpt = minArray[i];\n        for(j = 0; j < maxArray.length; j++) {\n            maxpt = maxArray[j];\n            dv = maxpt.val - minpt.val;\n            if(dv > 0) {\n                dp = axLen - getPad(minpt) - getPad(maxpt);\n                if(dp > minSpan) {\n                    if(dv / dp > mbest) {\n                        minbest = minpt;\n                        maxbest = maxpt;\n                        mbest = dv / dp;\n                    }\n                }\n                else if(dv / axLen > mbest) {\n                    // in case of padding longer than the axis\n                    // at least include the unpadded data values.\n                    minbest = {val: minpt.val, pad: 0};\n                    maxbest = {val: maxpt.val, pad: 0};\n                    mbest = dv / axLen;\n                }\n            }\n        }\n    }\n\n    function getMaxPad(prev, pt) {\n        return Math.max(prev, getPad(pt));\n    }\n\n    if(minmin === maxmax) {\n        var lower = minmin - 1;\n        var upper = minmin + 1;\n        if(toZero) {\n            if(minmin === 0) {\n                // The only value we have on this axis is 0, and we want to\n                // autorange so zero is one end.\n                // In principle this could be [0, 1] or [-1, 0] but usually\n                // 'tozero' pins 0 to the low end, so follow that.\n                newRange = [0, 1];\n            }\n            else {\n                var maxPad = (minmin > 0 ? maxArray : minArray).reduce(getMaxPad, 0);\n                // we're pushing a single value away from the edge due to its\n                // padding, with the other end clamped at zero\n                // 0.5 means don't push it farther than the center.\n                var rangeEnd = minmin / (1 - Math.min(0.5, maxPad / axLen));\n                newRange = minmin > 0 ? [0, rangeEnd] : [rangeEnd, 0];\n            }\n        } else if(nonNegative) {\n            newRange = [Math.max(0, lower), Math.max(1, upper)];\n        } else {\n            newRange = [lower, upper];\n        }\n    }\n    else {\n        if(toZero) {\n            if(minbest.val >= 0) {\n                minbest = {val: 0, pad: 0};\n            }\n            if(maxbest.val <= 0) {\n                maxbest = {val: 0, pad: 0};\n            }\n        }\n        else if(nonNegative) {\n            if(minbest.val - mbest * getPad(minbest) < 0) {\n                minbest = {val: 0, pad: 0};\n            }\n            if(maxbest.val <= 0) {\n                maxbest = {val: 1, pad: 0};\n            }\n        }\n\n        // in case it changed again...\n        mbest = (maxbest.val - minbest.val) /\n            (axLen - getPad(minbest) - getPad(maxbest));\n\n        newRange = [\n            minbest.val - mbest * getPad(minbest),\n            maxbest.val + mbest * getPad(maxbest)\n        ];\n    }\n\n    // maintain reversal\n    if(axReverse) newRange.reverse();\n\n    return Lib.simpleMap(newRange, ax.l2r || Number);\n}\n\n/*\n * calculate the pixel padding for ax._min and ax._max entries with\n * optional extrapad as 5% of the total axis length\n */\nfunction makePadFn(ax) {\n    // 5% padding for points that specify extrapad: true\n    var extrappad = ax._length / 20;\n\n    // domain-constrained axes: base extrappad on the unconstrained\n    // domain so it's consistent as the domain changes\n    if((ax.constrain === 'domain') && ax._inputDomain) {\n        extrappad *= (ax._inputDomain[1] - ax._inputDomain[0]) /\n            (ax.domain[1] - ax.domain[0]);\n    }\n\n    return function getPad(pt) { return pt.pad + (pt.extrapad ? extrappad : 0); };\n}\n\nfunction concatExtremes(gd, ax) {\n    var axId = ax._id;\n    var fullData = gd._fullData;\n    var fullLayout = gd._fullLayout;\n    var minArray = [];\n    var maxArray = [];\n    var i, j, d;\n\n    function _concat(cont, indices) {\n        for(i = 0; i < indices.length; i++) {\n            var item = cont[indices[i]];\n            var extremes = (item._extremes || {})[axId];\n            if(item.visible === true && extremes) {\n                for(j = 0; j < extremes.min.length; j++) {\n                    d = extremes.min[j];\n                    collapseMinArray(minArray, d.val, d.pad, {extrapad: d.extrapad});\n                }\n                for(j = 0; j < extremes.max.length; j++) {\n                    d = extremes.max[j];\n                    collapseMaxArray(maxArray, d.val, d.pad, {extrapad: d.extrapad});\n                }\n            }\n        }\n    }\n\n    _concat(fullData, ax._traceIndices);\n    _concat(fullLayout.annotations || [], ax._annIndices || []);\n    _concat(fullLayout.shapes || [], ax._shapeIndices || []);\n\n    return {min: minArray, max: maxArray};\n}\n\nfunction doAutoRange(gd, ax) {\n    if(!ax._length) ax.setScale();\n\n    var axIn;\n\n    if(ax.autorange) {\n        ax.range = getAutoRange(gd, ax);\n\n        ax._r = ax.range.slice();\n        ax._rl = Lib.simpleMap(ax._r, ax.r2l);\n\n        // doAutoRange will get called on fullLayout,\n        // but we want to report its results back to layout\n\n        axIn = ax._input;\n        axIn.range = ax.range.slice();\n        axIn.autorange = ax.autorange;\n    }\n\n    if(ax._anchorAxis && ax._anchorAxis.rangeslider) {\n        var axeRangeOpts = ax._anchorAxis.rangeslider[ax._name];\n        if(axeRangeOpts) {\n            if(axeRangeOpts.rangemode === 'auto') {\n                axeRangeOpts.range = getAutoRange(gd, ax);\n            }\n        }\n        axIn = ax._anchorAxis._input;\n        axIn.rangeslider[ax._name] = Lib.extendFlat({}, axeRangeOpts);\n    }\n}\n\n/**\n * findExtremes\n *\n * Find min/max extremes of an array of coordinates on a given axis.\n *\n * Note that findExtremes is called during `calc`, when we don't yet know the axis\n * length; all the inputs should be based solely on the trace data, nothing\n * about the axis layout.\n *\n * Note that `ppad` and `vpad` as well as their asymmetric variants refer to\n * the before and after padding of the passed `data` array, not to the whole axis.\n *\n * @param {object} ax: full axis object\n *   relies on\n *   - ax.type\n *   - ax._m (just its sign)\n *   - ax.d2l\n * @param {array} data:\n *  array of numbers (i.e. already run though ax.d2c)\n * @param {object} options:\n *  available keys are:\n *      vpad: (number or number array) pad values (data value +-vpad)\n *      ppad: (number or number array) pad pixels (pixel location +-ppad)\n *      ppadplus, ppadminus, vpadplus, vpadminus:\n *          separate padding for each side, overrides symmetric\n *      padded: (boolean) add 5% padding to both ends\n *          (unless one end is overridden by tozero)\n *      tozero: (boolean) make sure to include zero if axis is linear,\n *          and make it a tight bound if possible\n *\n * @return {object}\n *  - min {array of objects}\n *  - max {array of objects}\n *  each object item has fields:\n *    - val {number}\n *    - pad {number}\n *    - extrappad {number}\n */\nfunction findExtremes(ax, data, options) {\n    if(!options) options = {};\n    if(!ax._m) ax.setScale();\n\n    var minArray = [];\n    var maxArray = [];\n\n    var len = data.length;\n    var extrapad = options.padded || false;\n    var tozero = options.tozero && (ax.type === 'linear' || ax.type === '-');\n    var isLog = ax.type === 'log';\n    var hasArrayOption = false;\n    var i, v, di, dmin, dmax, ppadiplus, ppadiminus, vmin, vmax;\n\n    function makePadAccessor(item) {\n        if(Array.isArray(item)) {\n            hasArrayOption = true;\n            return function(i) { return Math.max(Number(item[i]||0), 0); };\n        }\n        else {\n            var v = Math.max(Number(item||0), 0);\n            return function() { return v; };\n        }\n    }\n\n    var ppadplus = makePadAccessor((ax._m > 0 ?\n        options.ppadplus : options.ppadminus) || options.ppad || 0);\n    var ppadminus = makePadAccessor((ax._m > 0 ?\n        options.ppadminus : options.ppadplus) || options.ppad || 0);\n    var vpadplus = makePadAccessor(options.vpadplus || options.vpad);\n    var vpadminus = makePadAccessor(options.vpadminus || options.vpad);\n\n    if(!hasArrayOption) {\n        // with no arrays other than `data` we don't need to consider\n        // every point, only the extreme data points\n        vmin = Infinity;\n        vmax = -Infinity;\n\n        if(isLog) {\n            for(i = 0; i < len; i++) {\n                v = data[i];\n                // data is not linearized yet so we still have to filter out negative logs\n                if(v < vmin && v > 0) vmin = v;\n                if(v > vmax && v < FP_SAFE) vmax = v;\n            }\n        } else {\n            for(i = 0; i < len; i++) {\n                v = data[i];\n                if(v < vmin && v > -FP_SAFE) vmin = v;\n                if(v > vmax && v < FP_SAFE) vmax = v;\n            }\n        }\n\n        data = [vmin, vmax];\n        len = 2;\n    }\n\n    var collapseOpts = {tozero: tozero, extrapad: extrapad};\n\n    function addItem(i) {\n        di = data[i];\n        if(!isNumeric(di)) return;\n        ppadiplus = ppadplus(i);\n        ppadiminus = ppadminus(i);\n        vmin = di - vpadminus(i);\n        vmax = di + vpadplus(i);\n        // special case for log axes: if vpad makes this object span\n        // more than an order of mag, clip it to one order. This is so\n        // we don't have non-positive errors or absurdly large lower\n        // range due to rounding errors\n        if(isLog && vmin < vmax / 10) vmin = vmax / 10;\n\n        dmin = ax.c2l(vmin);\n        dmax = ax.c2l(vmax);\n\n        if(tozero) {\n            dmin = Math.min(0, dmin);\n            dmax = Math.max(0, dmax);\n        }\n        if(goodNumber(dmin)) {\n            collapseMinArray(minArray, dmin, ppadiminus, collapseOpts);\n        }\n        if(goodNumber(dmax)) {\n            collapseMaxArray(maxArray, dmax, ppadiplus, collapseOpts);\n        }\n    }\n\n    // For efficiency covering monotonic or near-monotonic data,\n    // check a few points at both ends first and then sweep\n    // through the middle\n    var iMax = Math.min(6, len);\n    for(i = 0; i < iMax; i++) addItem(i);\n    for(i = len - 1; i >= iMax; i--) addItem(i);\n\n    return {min: minArray, max: maxArray};\n}\n\nfunction collapseMinArray(array, newVal, newPad, opts) {\n    collapseArray(array, newVal, newPad, opts, lessOrEqual);\n}\n\nfunction collapseMaxArray(array, newVal, newPad, opts) {\n    collapseArray(array, newVal, newPad, opts, greaterOrEqual);\n}\n\n/**\n * collapseArray\n *\n * Takes items from 'array' and compares them to 'newVal', 'newPad'.\n *\n * @param {array} array:\n *  current set of min or max extremes\n * @param {number} newVal:\n *  new value to compare against\n * @param {number} newPad:\n *  pad value associated with 'newVal'\n * @param {object} opts:\n *  - tozero {boolean}\n *  - extrapad {number}\n * @param {function} atLeastAsExtreme:\n *  comparison function, use\n *  - lessOrEqual for min 'array' and\n *  - greaterOrEqual for max 'array'\n *\n * In practice, 'array' is either\n *  - 'extremes[ax._id].min' or\n *  - 'extremes[ax._id].max\n *  found in traces and layout items that affect autorange.\n *\n * Since we don't yet know the relationship between pixels and values\n * (that's what we're trying to figure out!) AND we don't yet know how\n * many pixels `extrapad` represents (it's going to be 5% of the length,\n * but we don't want to have to redo calc just because length changed)\n * two point must satisfy three criteria simultaneously for one to supersede the other:\n *  - at least as extreme a `val`\n *  - at least as big a `pad`\n *  - an unpadded point cannot supersede a padded point, but any other combination can\n *\n * Then:\n * - If the item supersedes the new point, set includeThis false\n * - If the new pt supersedes the item, delete it from 'array'\n */\nfunction collapseArray(array, newVal, newPad, opts, atLeastAsExtreme) {\n    var tozero = opts.tozero;\n    var extrapad = opts.extrapad;\n    var includeThis = true;\n\n    for(var j = 0; j < array.length && includeThis; j++) {\n        var v = array[j];\n        if(atLeastAsExtreme(v.val, newVal) && v.pad >= newPad && (v.extrapad || !extrapad)) {\n            includeThis = false;\n            break;\n        } else if(atLeastAsExtreme(newVal, v.val) && v.pad <= newPad && (extrapad || !v.extrapad)) {\n            array.splice(j, 1);\n            j--;\n        }\n    }\n    if(includeThis) {\n        var clipAtZero = (tozero && newVal === 0);\n        array.push({\n            val: newVal,\n            pad: clipAtZero ? 0 : newPad,\n            extrapad: clipAtZero ? false : extrapad\n        });\n    }\n}\n\n// In order to stop overflow errors, don't consider points\n// too close to the limits of js floating point\nfunction goodNumber(v) {\n    return isNumeric(v) && Math.abs(v) < FP_SAFE;\n}\n\nfunction lessOrEqual(v0, v1) { return v0 <= v1; }\nfunction greaterOrEqual(v0, v1) { return v0 >= v1; }\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"fast-isnumeric\":214}],745:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\nvar Plots = _dereq_('../../plots/plots');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar Titles = _dereq_('../../components/titles');\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\n\nvar axAttrs = _dereq_('./layout_attributes');\nvar cleanTicks = _dereq_('./clean_ticks');\n\nvar constants = _dereq_('../../constants/numerical');\nvar ONEAVGYEAR = constants.ONEAVGYEAR;\nvar ONEAVGMONTH = constants.ONEAVGMONTH;\nvar ONEDAY = constants.ONEDAY;\nvar ONEHOUR = constants.ONEHOUR;\nvar ONEMIN = constants.ONEMIN;\nvar ONESEC = constants.ONESEC;\nvar MINUS_SIGN = constants.MINUS_SIGN;\nvar BADNUM = constants.BADNUM;\n\nvar MID_SHIFT = _dereq_('../../constants/alignment').MID_SHIFT;\nvar LINE_SPACING = _dereq_('../../constants/alignment').LINE_SPACING;\n\nvar axes = module.exports = {};\n\naxes.setConvert = _dereq_('./set_convert');\nvar autoType = _dereq_('./axis_autotype');\n\nvar axisIds = _dereq_('./axis_ids');\naxes.id2name = axisIds.id2name;\naxes.name2id = axisIds.name2id;\naxes.cleanId = axisIds.cleanId;\naxes.list = axisIds.list;\naxes.listIds = axisIds.listIds;\naxes.getFromId = axisIds.getFromId;\naxes.getFromTrace = axisIds.getFromTrace;\n\nvar autorange = _dereq_('./autorange');\naxes.getAutoRange = autorange.getAutoRange;\naxes.findExtremes = autorange.findExtremes;\n\n/*\n * find the list of possible axes to reference with an xref or yref attribute\n * and coerce it to that list\n *\n * attr: the attribute we're generating a reference for. Should end in 'x' or 'y'\n *     but can be prefixed, like 'ax' for annotation's arrow x\n * dflt: the default to coerce to, or blank to use the first axis (falling back on\n *     extraOption if there is no axis)\n * extraOption: aside from existing axes with this letter, what non-axis value is allowed?\n *     Only required if it's different from `dflt`\n */\naxes.coerceRef = function(containerIn, containerOut, gd, attr, dflt, extraOption) {\n    var axLetter = attr.charAt(attr.length - 1);\n    var axlist = gd._fullLayout._subplots[axLetter + 'axis'];\n    var refAttr = attr + 'ref';\n    var attrDef = {};\n\n    if(!dflt) dflt = axlist[0] || extraOption;\n    if(!extraOption) extraOption = dflt;\n\n    // data-ref annotations are not supported in gl2d yet\n\n    attrDef[refAttr] = {\n        valType: 'enumerated',\n        values: axlist.concat(extraOption ? [extraOption] : []),\n        dflt: dflt\n    };\n\n    // xref, yref\n    return Lib.coerce(containerIn, containerOut, attrDef, refAttr);\n};\n\n/*\n * coerce position attributes (range-type) that can be either on axes or absolute\n * (paper or pixel) referenced. The biggest complication here is that we don't know\n * before looking at the axis whether the value must be a number or not (it may be\n * a date string), so we can't use the regular valType='number' machinery\n *\n * axRef (string): the axis this position is referenced to, or:\n *     paper: fraction of the plot area\n *     pixel: pixels relative to some starting position\n * attr (string): the attribute in containerOut we are coercing\n * dflt (number): the default position, as a fraction or pixels. If the attribute\n *     is to be axis-referenced, this will be converted to an axis data value\n *\n * Also cleans the values, since the attribute definition itself has to say\n * valType: 'any' to handle date axes. This allows us to accept:\n * - for category axes: category names, and convert them here into serial numbers.\n *   Note that this will NOT work for axis range endpoints, because we don't know\n *   the category list yet (it's set by ax.makeCalcdata during calc)\n *   but it works for component (note, shape, images) positions.\n * - for date axes: JS Dates or milliseconds, and convert to date strings\n * - for other types: coerce them to numbers\n */\naxes.coercePosition = function(containerOut, gd, coerce, axRef, attr, dflt) {\n    var cleanPos, pos;\n\n    if(axRef === 'paper' || axRef === 'pixel') {\n        cleanPos = Lib.ensureNumber;\n        pos = coerce(attr, dflt);\n    } else {\n        var ax = axes.getFromId(gd, axRef);\n        dflt = ax.fraction2r(dflt);\n        pos = coerce(attr, dflt);\n        cleanPos = ax.cleanPos;\n    }\n\n    containerOut[attr] = cleanPos(pos);\n};\n\naxes.cleanPosition = function(pos, gd, axRef) {\n    var cleanPos = (axRef === 'paper' || axRef === 'pixel') ?\n        Lib.ensureNumber :\n        axes.getFromId(gd, axRef).cleanPos;\n\n    return cleanPos(pos);\n};\n\nvar getDataConversions = axes.getDataConversions = function(gd, trace, target, targetArray) {\n    var ax;\n\n    // If target points to an axis, use the type we already have for that\n    // axis to find the data type. Otherwise use the values to autotype.\n    var d2cTarget = (target === 'x' || target === 'y' || target === 'z') ?\n        target :\n        targetArray;\n\n    // In the case of an array target, make a mock data array\n    // and call supplyDefaults to the data type and\n    // setup the data-to-calc method.\n    if(Array.isArray(d2cTarget)) {\n        ax = {\n            type: autoType(targetArray),\n            _categories: []\n        };\n        axes.setConvert(ax);\n\n        // build up ax._categories (usually done during ax.makeCalcdata()\n        if(ax.type === 'category') {\n            for(var i = 0; i < targetArray.length; i++) {\n                ax.d2c(targetArray[i]);\n            }\n        }\n    } else {\n        ax = axes.getFromTrace(gd, trace, d2cTarget);\n    }\n\n    // if 'target' has corresponding axis\n    // -> use setConvert method\n    if(ax) return {d2c: ax.d2c, c2d: ax.c2d};\n\n    // special case for 'ids'\n    // -> cast to String\n    if(d2cTarget === 'ids') return {d2c: toString, c2d: toString};\n\n    // otherwise (e.g. numeric-array of 'marker.color' or 'marker.size')\n    // -> cast to Number\n\n    return {d2c: toNum, c2d: toNum};\n};\n\nfunction toNum(v) { return +v; }\nfunction toString(v) { return String(v); }\n\naxes.getDataToCoordFunc = function(gd, trace, target, targetArray) {\n    return getDataConversions(gd, trace, target, targetArray).d2c;\n};\n\n// get counteraxis letter for this axis (name or id)\n// this can also be used as the id for default counter axis\naxes.counterLetter = function(id) {\n    var axLetter = id.charAt(0);\n    if(axLetter === 'x') return 'y';\n    if(axLetter === 'y') return 'x';\n};\n\n// incorporate a new minimum difference and first tick into\n// forced\n// note that _forceTick0 is linearized, so needs to be turned into\n// a range value for setting tick0\naxes.minDtick = function(ax, newDiff, newFirst, allow) {\n    // doesn't make sense to do forced min dTick on log or category axes,\n    // and the plot itself may decide to cancel (ie non-grouped bars)\n    if(['log', 'category'].indexOf(ax.type) !== -1 || !allow) {\n        ax._minDtick = 0;\n    }\n    // undefined means there's nothing there yet\n    else if(ax._minDtick === undefined) {\n        ax._minDtick = newDiff;\n        ax._forceTick0 = newFirst;\n    }\n    else if(ax._minDtick) {\n        // existing minDtick is an integer multiple of newDiff\n        // (within rounding err)\n        // and forceTick0 can be shifted to newFirst\n        if((ax._minDtick / newDiff + 1e-6) % 1 < 2e-6 &&\n                (((newFirst - ax._forceTick0) / newDiff % 1) +\n                    1.000001) % 1 < 2e-6) {\n            ax._minDtick = newDiff;\n            ax._forceTick0 = newFirst;\n        }\n        // if the converse is true (newDiff is a multiple of minDtick and\n        // newFirst can be shifted to forceTick0) then do nothing - same\n        // forcing stands. Otherwise, cancel forced minimum\n        else if((newDiff / ax._minDtick + 1e-6) % 1 > 2e-6 ||\n                (((newFirst - ax._forceTick0) / ax._minDtick % 1) +\n                    1.000001) % 1 > 2e-6) {\n            ax._minDtick = 0;\n        }\n    }\n};\n\n// save a copy of the initial axis ranges in fullLayout\n// use them in mode bar and dblclick events\naxes.saveRangeInitial = function(gd, overwrite) {\n    var axList = axes.list(gd, '', true),\n        hasOneAxisChanged = false;\n\n    for(var i = 0; i < axList.length; i++) {\n        var ax = axList[i];\n\n        var isNew = (ax._rangeInitial === undefined);\n        var hasChanged = (\n            isNew || !(\n                ax.range[0] === ax._rangeInitial[0] &&\n                ax.range[1] === ax._rangeInitial[1]\n            )\n        );\n\n        if((isNew && ax.autorange === false) || (overwrite && hasChanged)) {\n            ax._rangeInitial = ax.range.slice();\n            hasOneAxisChanged = true;\n        }\n    }\n\n    return hasOneAxisChanged;\n};\n\n// save a copy of the initial spike visibility\naxes.saveShowSpikeInitial = function(gd, overwrite) {\n    var axList = axes.list(gd, '', true),\n        hasOneAxisChanged = false,\n        allSpikesEnabled = 'on';\n\n    for(var i = 0; i < axList.length; i++) {\n        var ax = axList[i];\n\n        var isNew = (ax._showSpikeInitial === undefined);\n        var hasChanged = (\n            isNew || !(\n                ax.showspikes === ax._showspikes\n            )\n        );\n\n        if((isNew) || (overwrite && hasChanged)) {\n            ax._showSpikeInitial = ax.showspikes;\n            hasOneAxisChanged = true;\n        }\n\n        if(allSpikesEnabled === 'on' && !ax.showspikes) {\n            allSpikesEnabled = 'off';\n        }\n    }\n    gd._fullLayout._cartesianSpikesEnabled = allSpikesEnabled;\n    return hasOneAxisChanged;\n};\n\naxes.autoBin = function(data, ax, nbins, is2d, calendar, size) {\n    var dataMin = Lib.aggNums(Math.min, null, data);\n    var dataMax = Lib.aggNums(Math.max, null, data);\n\n    if(ax.type === 'category') {\n        return {\n            start: dataMin - 0.5,\n            end: dataMax + 0.5,\n            size: Math.max(1, Math.round(size) || 1),\n            _dataSpan: dataMax - dataMin,\n        };\n    }\n\n    if(!calendar) calendar = ax.calendar;\n\n    // piggyback off tick code to make \"nice\" bin sizes and edges\n    var dummyAx;\n    if(ax.type === 'log') {\n        dummyAx = {\n            type: 'linear',\n            range: [dataMin, dataMax]\n        };\n    }\n    else {\n        dummyAx = {\n            type: ax.type,\n            range: Lib.simpleMap([dataMin, dataMax], ax.c2r, 0, calendar),\n            calendar: calendar\n        };\n    }\n    axes.setConvert(dummyAx);\n\n    size = size && cleanTicks.dtick(size, dummyAx.type);\n\n    if(size) {\n        dummyAx.dtick = size;\n        dummyAx.tick0 = cleanTicks.tick0(undefined, dummyAx.type, calendar);\n    }\n    else {\n        var size0;\n        if(nbins) size0 = ((dataMax - dataMin) / nbins);\n        else {\n            // totally auto: scale off std deviation so the highest bin is\n            // somewhat taller than the total number of bins, but don't let\n            // the size get smaller than the 'nice' rounded down minimum\n            // difference between values\n            var distinctData = Lib.distinctVals(data);\n            var msexp = Math.pow(10, Math.floor(\n                Math.log(distinctData.minDiff) / Math.LN10));\n            var minSize = msexp * Lib.roundUp(\n                distinctData.minDiff / msexp, [0.9, 1.9, 4.9, 9.9], true);\n            size0 = Math.max(minSize, 2 * Lib.stdev(data) /\n                Math.pow(data.length, is2d ? 0.25 : 0.4));\n\n            // fallback if ax.d2c output BADNUMs\n            // e.g. when user try to plot categorical bins\n            // on a layout.xaxis.type: 'linear'\n            if(!isNumeric(size0)) size0 = 1;\n        }\n\n        axes.autoTicks(dummyAx, size0);\n    }\n\n\n    var finalSize = dummyAx.dtick;\n    var binStart = axes.tickIncrement(\n            axes.tickFirst(dummyAx), finalSize, 'reverse', calendar);\n    var binEnd, bincount;\n\n    // check for too many data points right at the edges of bins\n    // (>50% within 1% of bin edges) or all data points integral\n    // and offset the bins accordingly\n    if(typeof finalSize === 'number') {\n        binStart = autoShiftNumericBins(binStart, data, dummyAx, dataMin, dataMax);\n\n        bincount = 1 + Math.floor((dataMax - binStart) / finalSize);\n        binEnd = binStart + bincount * finalSize;\n    }\n    else {\n        // month ticks - should be the only nonlinear kind we have at this point.\n        // dtick (as supplied by axes.autoTick) only has nonlinear values on\n        // date and log axes, but even if you display a histogram on a log axis\n        // we bin it on a linear axis (which one could argue against, but that's\n        // a separate issue)\n        if(dummyAx.dtick.charAt(0) === 'M') {\n            binStart = autoShiftMonthBins(binStart, data, finalSize, dataMin, calendar);\n        }\n\n        // calculate the endpoint for nonlinear ticks - you have to\n        // just increment until you're done\n        binEnd = binStart;\n        bincount = 0;\n        while(binEnd <= dataMax) {\n            binEnd = axes.tickIncrement(binEnd, finalSize, false, calendar);\n            bincount++;\n        }\n    }\n\n    return {\n        start: ax.c2r(binStart, 0, calendar),\n        end: ax.c2r(binEnd, 0, calendar),\n        size: finalSize,\n        _dataSpan: dataMax - dataMin\n    };\n};\n\n\nfunction autoShiftNumericBins(binStart, data, ax, dataMin, dataMax) {\n    var edgecount = 0,\n        midcount = 0,\n        intcount = 0,\n        blankCount = 0;\n\n    function nearEdge(v) {\n        // is a value within 1% of a bin edge?\n        return (1 + (v - binStart) * 100 / ax.dtick) % 100 < 2;\n    }\n\n    for(var i = 0; i < data.length; i++) {\n        if(data[i] % 1 === 0) intcount++;\n        else if(!isNumeric(data[i])) blankCount++;\n\n        if(nearEdge(data[i])) edgecount++;\n        if(nearEdge(data[i] + ax.dtick / 2)) midcount++;\n    }\n    var dataCount = data.length - blankCount;\n\n    if(intcount === dataCount && ax.type !== 'date') {\n        // all integers: if bin size is <1, it's because\n        // that was specifically requested (large nbins)\n        // so respect that... but center the bins containing\n        // integers on those integers\n        if(ax.dtick < 1) {\n            binStart = dataMin - 0.5 * ax.dtick;\n        }\n        // otherwise start half an integer down regardless of\n        // the bin size, just enough to clear up endpoint\n        // ambiguity about which integers are in which bins.\n        else {\n            binStart -= 0.5;\n            if(binStart + ax.dtick < dataMin) binStart += ax.dtick;\n        }\n    }\n    else if(midcount < dataCount * 0.1) {\n        if(edgecount > dataCount * 0.3 ||\n                nearEdge(dataMin) || nearEdge(dataMax)) {\n            // lots of points at the edge, not many in the middle\n            // shift half a bin\n            var binshift = ax.dtick / 2;\n            binStart += (binStart + binshift < dataMin) ? binshift : -binshift;\n        }\n    }\n    return binStart;\n}\n\n\nfunction autoShiftMonthBins(binStart, data, dtick, dataMin, calendar) {\n    var stats = Lib.findExactDates(data, calendar);\n    // number of data points that needs to be an exact value\n    // to shift that increment to (near) the bin center\n    var threshold = 0.8;\n\n    if(stats.exactDays > threshold) {\n        var numMonths = Number(dtick.substr(1));\n\n        if((stats.exactYears > threshold) && (numMonths % 12 === 0)) {\n            // The exact middle of a non-leap-year is 1.5 days into July\n            // so if we start the bins here, all but leap years will\n            // get hover-labeled as exact years.\n            binStart = axes.tickIncrement(binStart, 'M6', 'reverse') + ONEDAY * 1.5;\n        }\n        else if(stats.exactMonths > threshold) {\n            // Months are not as clean, but if we shift half the *longest*\n            // month (31/2 days) then 31-day months will get labeled exactly\n            // and shorter months will get labeled with the correct month\n            // but shifted 12-36 hours into it.\n            binStart = axes.tickIncrement(binStart, 'M1', 'reverse') + ONEDAY * 15.5;\n        }\n        else {\n            // Shifting half a day is exact, but since these are month bins it\n            // will always give a somewhat odd-looking label, until we do something\n            // smarter like showing the bin boundaries (or the bounds of the actual\n            // data in each bin)\n            binStart -= ONEDAY / 2;\n        }\n        var nextBinStart = axes.tickIncrement(binStart, dtick);\n\n        if(nextBinStart <= dataMin) return nextBinStart;\n    }\n    return binStart;\n}\n\n// ----------------------------------------------------\n// Ticks and grids\n// ----------------------------------------------------\n\n// ensure we have tick0, dtick, and tick rounding calculated\naxes.prepTicks = function(ax) {\n    var rng = Lib.simpleMap(ax.range, ax.r2l);\n\n    // calculate max number of (auto) ticks to display based on plot size\n    if(ax.tickmode === 'auto' || !ax.dtick) {\n        var nt = ax.nticks,\n            minPx;\n        if(!nt) {\n            if(ax.type === 'category') {\n                minPx = ax.tickfont ? (ax.tickfont.size || 12) * 1.2 : 15;\n                nt = ax._length / minPx;\n            }\n            else {\n                minPx = ax._id.charAt(0) === 'y' ? 40 : 80;\n                nt = Lib.constrain(ax._length / minPx, 4, 9) + 1;\n            }\n\n            // radial axes span half their domain,\n            // multiply nticks value by two to get correct number of auto ticks.\n            if(ax._name === 'radialaxis') nt *= 2;\n        }\n\n        // add a couple of extra digits for filling in ticks when we\n        // have explicit tickvals without tick text\n        if(ax.tickmode === 'array') nt *= 100;\n\n        axes.autoTicks(ax, Math.abs(rng[1] - rng[0]) / nt);\n        // check for a forced minimum dtick\n        if(ax._minDtick > 0 && ax.dtick < ax._minDtick * 2) {\n            ax.dtick = ax._minDtick;\n            ax.tick0 = ax.l2r(ax._forceTick0);\n        }\n    }\n\n    // check for missing tick0\n    if(!ax.tick0) {\n        ax.tick0 = (ax.type === 'date') ? '2000-01-01' : 0;\n    }\n\n    // ensure we don't try to make ticks below our minimum precision\n    // see https://github.com/plotly/plotly.js/issues/2892\n    if(ax.type === 'date' && ax.dtick < 0.1) ax.dtick = 0.1;\n\n    // now figure out rounding of tick values\n    autoTickRound(ax);\n};\n\n// calculate the ticks: text, values, positioning\n// if ticks are set to automatic, determine the right values (tick0,dtick)\n// in any case, set tickround to # of digits to round tick labels to,\n// or codes to this effect for log and date scales\naxes.calcTicks = function calcTicks(ax) {\n    axes.prepTicks(ax);\n    var rng = Lib.simpleMap(ax.range, ax.r2l);\n\n    // now that we've figured out the auto values for formatting\n    // in case we're missing some ticktext, we can break out for array ticks\n    if(ax.tickmode === 'array') return arrayTicks(ax);\n\n    // find the first tick\n    ax._tmin = axes.tickFirst(ax);\n\n    // add a tiny bit so we get ticks which may have rounded out\n    var startTick = rng[0] * 1.0001 - rng[1] * 0.0001;\n    var endTick = rng[1] * 1.0001 - rng[0] * 0.0001;\n    // check for reversed axis\n    var axrev = (rng[1] < rng[0]);\n\n    // No visible ticks? Quit.\n    // I've only seen this on category axes with all categories off the edge.\n    if((ax._tmin < startTick) !== axrev) return [];\n\n    // return the full set of tick vals\n    var vals = [];\n    if(ax.type === 'category') {\n        endTick = (axrev) ? Math.max(-0.5, endTick) :\n            Math.min(ax._categories.length - 0.5, endTick);\n    }\n\n    var xPrevious = null;\n    var maxTicks = Math.max(1000, ax._length || 0);\n    for(var x = ax._tmin;\n            (axrev) ? (x >= endTick) : (x <= endTick);\n            x = axes.tickIncrement(x, ax.dtick, axrev, ax.calendar)) {\n        // prevent infinite loops - no more than one tick per pixel,\n        // and make sure each value is different from the previous\n        if(vals.length > maxTicks || x === xPrevious) break;\n        xPrevious = x;\n\n        vals.push(x);\n    }\n\n    // If same angle over a full circle, the last tick vals is a duplicate.\n    // TODO must do something similar for angular date axes.\n    if(isAngular(ax) && Math.abs(rng[1] - rng[0]) === 360) {\n        vals.pop();\n    }\n\n    // save the last tick as well as first, so we can\n    // show the exponent only on the last one\n    ax._tmax = vals[vals.length - 1];\n\n    // for showing the rest of a date when the main tick label is only the\n    // latter part: ax._prevDateHead holds what we showed most recently.\n    // Start with it cleared and mark that we're in calcTicks (ie calculating a\n    // whole string of these so we should care what the previous date head was!)\n    ax._prevDateHead = '';\n    ax._inCalcTicks = true;\n\n    var ticksOut = new Array(vals.length);\n    for(var i = 0; i < vals.length; i++) ticksOut[i] = axes.tickText(ax, vals[i]);\n\n    ax._inCalcTicks = false;\n\n    return ticksOut;\n};\n\nfunction arrayTicks(ax) {\n    var vals = ax.tickvals,\n        text = ax.ticktext,\n        ticksOut = new Array(vals.length),\n        rng = Lib.simpleMap(ax.range, ax.r2l),\n        r0expanded = rng[0] * 1.0001 - rng[1] * 0.0001,\n        r1expanded = rng[1] * 1.0001 - rng[0] * 0.0001,\n        tickMin = Math.min(r0expanded, r1expanded),\n        tickMax = Math.max(r0expanded, r1expanded),\n        vali,\n        i,\n        j = 0;\n\n    // without a text array, just format the given values as any other ticks\n    // except with more precision to the numbers\n    if(!Array.isArray(text)) text = [];\n\n    // make sure showing ticks doesn't accidentally add new categories\n    var tickVal2l = ax.type === 'category' ? ax.d2l_noadd : ax.d2l;\n\n    // array ticks on log axes always show the full number\n    // (if no explicit ticktext overrides it)\n    if(ax.type === 'log' && String(ax.dtick).charAt(0) !== 'L') {\n        ax.dtick = 'L' + Math.pow(10, Math.floor(Math.min(ax.range[0], ax.range[1])) - 1);\n    }\n\n    for(i = 0; i < vals.length; i++) {\n        vali = tickVal2l(vals[i]);\n        if(vali > tickMin && vali < tickMax) {\n            if(text[i] === undefined) ticksOut[j] = axes.tickText(ax, vali);\n            else ticksOut[j] = tickTextObj(ax, vali, String(text[i]));\n            j++;\n        }\n    }\n\n    if(j < vals.length) ticksOut.splice(j, vals.length - j);\n\n    return ticksOut;\n}\n\nvar roundBase10 = [2, 5, 10],\n    roundBase24 = [1, 2, 3, 6, 12],\n    roundBase60 = [1, 2, 5, 10, 15, 30],\n    // 2&3 day ticks are weird, but need something btwn 1&7\n    roundDays = [1, 2, 3, 7, 14],\n    // approx. tick positions for log axes, showing all (1) and just 1, 2, 5 (2)\n    // these don't have to be exact, just close enough to round to the right value\n    roundLog1 = [-0.046, 0, 0.301, 0.477, 0.602, 0.699, 0.778, 0.845, 0.903, 0.954, 1],\n    roundLog2 = [-0.301, 0, 0.301, 0.699, 1],\n    // N.B. `thetaunit; 'radians' angular axes must be converted to degrees\n    roundAngles = [15, 30, 45, 90, 180];\n\nfunction roundDTick(roughDTick, base, roundingSet) {\n    return base * Lib.roundUp(roughDTick / base, roundingSet);\n}\n\n// autoTicks: calculate best guess at pleasant ticks for this axis\n// inputs:\n//      ax - an axis object\n//      roughDTick - rough tick spacing (to be turned into a nice round number)\n// outputs (into ax):\n//   tick0: starting point for ticks (not necessarily on the graph)\n//      usually 0 for numeric (=10^0=1 for log) or jan 1, 2000 for dates\n//   dtick: the actual, nice round tick spacing, usually a little larger than roughDTick\n//      if the ticks are spaced linearly (linear scale, categories,\n//          log with only full powers, date ticks < month),\n//          this will just be a number\n//      months: M#\n//      years: M# where # is 12*number of years\n//      log with linear ticks: L# where # is the linear tick spacing\n//      log showing powers plus some intermediates:\n//          D1 shows all digits, D2 shows 2 and 5\naxes.autoTicks = function(ax, roughDTick) {\n    var base;\n\n    function getBase(v) {\n        return Math.pow(v, Math.floor(Math.log(roughDTick) / Math.LN10));\n    }\n\n    if(ax.type === 'date') {\n        ax.tick0 = Lib.dateTick0(ax.calendar);\n        // the criteria below are all based on the rough spacing we calculate\n        // being > half of the final unit - so precalculate twice the rough val\n        var roughX2 = 2 * roughDTick;\n\n        if(roughX2 > ONEAVGYEAR) {\n            roughDTick /= ONEAVGYEAR;\n            base = getBase(10);\n            ax.dtick = 'M' + (12 * roundDTick(roughDTick, base, roundBase10));\n        }\n        else if(roughX2 > ONEAVGMONTH) {\n            roughDTick /= ONEAVGMONTH;\n            ax.dtick = 'M' + roundDTick(roughDTick, 1, roundBase24);\n        }\n        else if(roughX2 > ONEDAY) {\n            ax.dtick = roundDTick(roughDTick, ONEDAY, roundDays);\n            // get week ticks on sunday\n            // this will also move the base tick off 2000-01-01 if dtick is\n            // 2 or 3 days... but that's a weird enough case that we'll ignore it.\n            ax.tick0 = Lib.dateTick0(ax.calendar, true);\n        }\n        else if(roughX2 > ONEHOUR) {\n            ax.dtick = roundDTick(roughDTick, ONEHOUR, roundBase24);\n        }\n        else if(roughX2 > ONEMIN) {\n            ax.dtick = roundDTick(roughDTick, ONEMIN, roundBase60);\n        }\n        else if(roughX2 > ONESEC) {\n            ax.dtick = roundDTick(roughDTick, ONESEC, roundBase60);\n        }\n        else {\n            // milliseconds\n            base = getBase(10);\n            ax.dtick = roundDTick(roughDTick, base, roundBase10);\n        }\n    }\n    else if(ax.type === 'log') {\n        ax.tick0 = 0;\n        var rng = Lib.simpleMap(ax.range, ax.r2l);\n\n        if(roughDTick > 0.7) {\n            // only show powers of 10\n            ax.dtick = Math.ceil(roughDTick);\n        }\n        else if(Math.abs(rng[1] - rng[0]) < 1) {\n            // span is less than one power of 10\n            var nt = 1.5 * Math.abs((rng[1] - rng[0]) / roughDTick);\n\n            // ticks on a linear scale, labeled fully\n            roughDTick = Math.abs(Math.pow(10, rng[1]) -\n                Math.pow(10, rng[0])) / nt;\n            base = getBase(10);\n            ax.dtick = 'L' + roundDTick(roughDTick, base, roundBase10);\n        }\n        else {\n            // include intermediates between powers of 10,\n            // labeled with small digits\n            // ax.dtick = \"D2\" (show 2 and 5) or \"D1\" (show all digits)\n            ax.dtick = (roughDTick > 0.3) ? 'D2' : 'D1';\n        }\n    }\n    else if(ax.type === 'category') {\n        ax.tick0 = 0;\n        ax.dtick = Math.ceil(Math.max(roughDTick, 1));\n    }\n    else if(isAngular(ax)) {\n        ax.tick0 = 0;\n        base = 1;\n        ax.dtick = roundDTick(roughDTick, base, roundAngles);\n    }\n    else {\n        // auto ticks always start at 0\n        ax.tick0 = 0;\n        base = getBase(10);\n        ax.dtick = roundDTick(roughDTick, base, roundBase10);\n    }\n\n    // prevent infinite loops\n    if(ax.dtick === 0) ax.dtick = 1;\n\n    // TODO: this is from log axis histograms with autorange off\n    if(!isNumeric(ax.dtick) && typeof ax.dtick !== 'string') {\n        var olddtick = ax.dtick;\n        ax.dtick = 1;\n        throw 'ax.dtick error: ' + String(olddtick);\n    }\n};\n\n// after dtick is already known, find tickround = precision\n// to display in tick labels\n//   for numeric ticks, integer # digits after . to round to\n//   for date ticks, the last date part to show (y,m,d,H,M,S)\n//      or an integer # digits past seconds\nfunction autoTickRound(ax) {\n    var dtick = ax.dtick;\n\n    ax._tickexponent = 0;\n    if(!isNumeric(dtick) && typeof dtick !== 'string') {\n        dtick = 1;\n    }\n\n    if(ax.type === 'category') {\n        ax._tickround = null;\n    }\n    if(ax.type === 'date') {\n        // If tick0 is unusual, give tickround a bit more information\n        // not necessarily *all* the information in tick0 though, if it's really odd\n        // minimal string length for tick0: 'd' is 10, 'M' is 16, 'S' is 19\n        // take off a leading minus (year < 0) and i (intercalary month) so length is consistent\n        var tick0ms = ax.r2l(ax.tick0),\n            tick0str = ax.l2r(tick0ms).replace(/(^-|i)/g, ''),\n            tick0len = tick0str.length;\n\n        if(String(dtick).charAt(0) === 'M') {\n            // any tick0 more specific than a year: alway show the full date\n            if(tick0len > 10 || tick0str.substr(5) !== '01-01') ax._tickround = 'd';\n            // show the month unless ticks are full multiples of a year\n            else ax._tickround = (+(dtick.substr(1)) % 12 === 0) ? 'y' : 'm';\n        }\n        else if((dtick >= ONEDAY && tick0len <= 10) || (dtick >= ONEDAY * 15)) ax._tickround = 'd';\n        else if((dtick >= ONEMIN && tick0len <= 16) || (dtick >= ONEHOUR)) ax._tickround = 'M';\n        else if((dtick >= ONESEC && tick0len <= 19) || (dtick >= ONEMIN)) ax._tickround = 'S';\n        else {\n            // tickround is a number of digits of fractional seconds\n            // of any two adjacent ticks, at least one will have the maximum fractional digits\n            // of all possible ticks - so take the max. length of tick0 and the next one\n            var tick1len = ax.l2r(tick0ms + dtick).replace(/^-/, '').length;\n            ax._tickround = Math.max(tick0len, tick1len) - 20;\n\n            // We shouldn't get here... but in case there's a situation I'm\n            // not thinking of where tick0str and tick1str are identical or\n            // something, fall back on maximum precision\n            if(ax._tickround < 0) ax._tickround = 4;\n        }\n    }\n    else if(isNumeric(dtick) || dtick.charAt(0) === 'L') {\n        // linear or log (except D1, D2)\n        var rng = ax.range.map(ax.r2d || Number);\n        if(!isNumeric(dtick)) dtick = Number(dtick.substr(1));\n        // 2 digits past largest digit of dtick\n        ax._tickround = 2 - Math.floor(Math.log(dtick) / Math.LN10 + 0.01);\n\n        var maxend = Math.max(Math.abs(rng[0]), Math.abs(rng[1]));\n\n        var rangeexp = Math.floor(Math.log(maxend) / Math.LN10 + 0.01);\n        if(Math.abs(rangeexp) > 3) {\n            if(isSIFormat(ax.exponentformat) && !beyondSI(rangeexp)) {\n                ax._tickexponent = 3 * Math.round((rangeexp - 1) / 3);\n            }\n            else ax._tickexponent = rangeexp;\n        }\n    }\n    // D1 or D2 (log)\n    else ax._tickround = null;\n}\n\n// months and years don't have constant millisecond values\n// (but a year is always 12 months so we only need months)\n// log-scale ticks are also not consistently spaced, except\n// for pure powers of 10\n// numeric ticks always have constant differences, other datetime ticks\n// can all be calculated as constant number of milliseconds\naxes.tickIncrement = function(x, dtick, axrev, calendar) {\n    var axSign = axrev ? -1 : 1;\n\n    // includes linear, all dates smaller than month, and pure 10^n in log\n    if(isNumeric(dtick)) return x + axSign * dtick;\n\n    // everything else is a string, one character plus a number\n    var tType = dtick.charAt(0),\n        dtSigned = axSign * Number(dtick.substr(1));\n\n    // Dates: months (or years - see Lib.incrementMonth)\n    if(tType === 'M') return Lib.incrementMonth(x, dtSigned, calendar);\n\n    // Log scales: Linear, Digits\n    else if(tType === 'L') return Math.log(Math.pow(10, x) + dtSigned) / Math.LN10;\n\n    // log10 of 2,5,10, or all digits (logs just have to be\n    // close enough to round)\n    else if(tType === 'D') {\n        var tickset = (dtick === 'D2') ? roundLog2 : roundLog1,\n            x2 = x + axSign * 0.01,\n            frac = Lib.roundUp(Lib.mod(x2, 1), tickset, axrev);\n\n        return Math.floor(x2) +\n            Math.log(d3.round(Math.pow(10, frac), 1)) / Math.LN10;\n    }\n    else throw 'unrecognized dtick ' + String(dtick);\n};\n\n// calculate the first tick on an axis\naxes.tickFirst = function(ax) {\n    var r2l = ax.r2l || Number,\n        rng = Lib.simpleMap(ax.range, r2l),\n        axrev = rng[1] < rng[0],\n        sRound = axrev ? Math.floor : Math.ceil,\n        // add a tiny extra bit to make sure we get ticks\n        // that may have been rounded out\n        r0 = rng[0] * 1.0001 - rng[1] * 0.0001,\n        dtick = ax.dtick,\n        tick0 = r2l(ax.tick0);\n\n    if(isNumeric(dtick)) {\n        var tmin = sRound((r0 - tick0) / dtick) * dtick + tick0;\n\n        // make sure no ticks outside the category list\n        if(ax.type === 'category') {\n            tmin = Lib.constrain(tmin, 0, ax._categories.length - 1);\n        }\n        return tmin;\n    }\n\n    var tType = dtick.charAt(0),\n        dtNum = Number(dtick.substr(1));\n\n    // Dates: months (or years)\n    if(tType === 'M') {\n        var cnt = 0,\n            t0 = tick0,\n            t1,\n            mult,\n            newDTick;\n\n        // This algorithm should work for *any* nonlinear (but close to linear!)\n        // tick spacing. Limit to 10 iterations, for gregorian months it's normally <=3.\n        while(cnt < 10) {\n            t1 = axes.tickIncrement(t0, dtick, axrev, ax.calendar);\n            if((t1 - r0) * (t0 - r0) <= 0) {\n                // t1 and t0 are on opposite sides of r0! we've succeeded!\n                if(axrev) return Math.min(t0, t1);\n                return Math.max(t0, t1);\n            }\n            mult = (r0 - ((t0 + t1) / 2)) / (t1 - t0);\n            newDTick = tType + ((Math.abs(Math.round(mult)) || 1) * dtNum);\n            t0 = axes.tickIncrement(t0, newDTick, mult < 0 ? !axrev : axrev, ax.calendar);\n            cnt++;\n        }\n        Lib.error('tickFirst did not converge', ax);\n        return t0;\n    }\n\n    // Log scales: Linear, Digits\n    else if(tType === 'L') {\n        return Math.log(sRound(\n            (Math.pow(10, r0) - tick0) / dtNum) * dtNum + tick0) / Math.LN10;\n    }\n    else if(tType === 'D') {\n        var tickset = (dtick === 'D2') ? roundLog2 : roundLog1,\n            frac = Lib.roundUp(Lib.mod(r0, 1), tickset, axrev);\n\n        return Math.floor(r0) +\n            Math.log(d3.round(Math.pow(10, frac), 1)) / Math.LN10;\n    }\n    else throw 'unrecognized dtick ' + String(dtick);\n};\n\n// draw the text for one tick.\n// px,py are the location on gd.paper\n// prefix is there so the x axis ticks can be dropped a line\n// ax is the axis layout, x is the tick value\n// hover is a (truthy) flag for whether to show numbers with a bit\n// more precision for hovertext\naxes.tickText = function(ax, x, hover) {\n    var out = tickTextObj(ax, x),\n        hideexp,\n        arrayMode = ax.tickmode === 'array',\n        extraPrecision = hover || arrayMode,\n        i,\n        tickVal2l = ax.type === 'category' ? ax.d2l_noadd : ax.d2l;\n\n    if(arrayMode && Array.isArray(ax.ticktext)) {\n        var rng = Lib.simpleMap(ax.range, ax.r2l),\n            minDiff = Math.abs(rng[1] - rng[0]) / 10000;\n        for(i = 0; i < ax.ticktext.length; i++) {\n            if(Math.abs(x - tickVal2l(ax.tickvals[i])) < minDiff) break;\n        }\n        if(i < ax.ticktext.length) {\n            out.text = String(ax.ticktext[i]);\n            return out;\n        }\n    }\n\n    function isHidden(showAttr) {\n        var first_or_last;\n\n        if(showAttr === undefined) return true;\n        if(hover) return showAttr === 'none';\n\n        first_or_last = {\n            first: ax._tmin,\n            last: ax._tmax\n        }[showAttr];\n\n        return showAttr !== 'all' && x !== first_or_last;\n    }\n\n    if(hover) {\n        hideexp = 'never';\n    } else {\n        hideexp = ax.exponentformat !== 'none' && isHidden(ax.showexponent) ? 'hide' : '';\n    }\n\n    if(ax.type === 'date') formatDate(ax, out, hover, extraPrecision);\n    else if(ax.type === 'log') formatLog(ax, out, hover, extraPrecision, hideexp);\n    else if(ax.type === 'category') formatCategory(ax, out);\n    else if(isAngular(ax)) formatAngle(ax, out, hover, extraPrecision, hideexp);\n    else formatLinear(ax, out, hover, extraPrecision, hideexp);\n\n    // add prefix and suffix\n    if(ax.tickprefix && !isHidden(ax.showtickprefix)) out.text = ax.tickprefix + out.text;\n    if(ax.ticksuffix && !isHidden(ax.showticksuffix)) out.text += ax.ticksuffix;\n\n    return out;\n};\n\n/**\n * create text for a hover label on this axis, with special handling of\n * log axes (where negative values can't be displayed but can appear in hover text)\n *\n * @param {object} ax: the axis to format text for\n * @param {number} val: calcdata value to format\n * @param {Optional(number)} val2: a second value to display\n *\n * @returns {string} `val` formatted as a string appropriate to this axis, or\n *     `val` and `val2` as a range (ie '<val> - <val2>') if `val2` is provided and\n *     it's different from `val`.\n */\naxes.hoverLabelText = function(ax, val, val2) {\n    if(val2 !== BADNUM && val2 !== val) {\n        return axes.hoverLabelText(ax, val) + ' - ' + axes.hoverLabelText(ax, val2);\n    }\n\n    var logOffScale = (ax.type === 'log' && val <= 0);\n    var tx = axes.tickText(ax, ax.c2l(logOffScale ? -val : val), 'hover').text;\n\n    if(logOffScale) {\n        return val === 0 ? '0' : MINUS_SIGN + tx;\n    }\n\n    // TODO: should we do something special if the axis calendar and\n    // the data calendar are different? Somehow display both dates with\n    // their system names? Right now it will just display in the axis calendar\n    // but users could add the other one as text.\n    return tx;\n};\n\nfunction tickTextObj(ax, x, text) {\n    var tf = ax.tickfont || {};\n\n    return {\n        x: x,\n        dx: 0,\n        dy: 0,\n        text: text || '',\n        fontSize: tf.size,\n        font: tf.family,\n        fontColor: tf.color\n    };\n}\n\nfunction formatDate(ax, out, hover, extraPrecision) {\n    var tr = ax._tickround,\n        fmt = (hover && ax.hoverformat) || axes.getTickFormat(ax);\n\n    if(extraPrecision) {\n        // second or sub-second precision: extra always shows max digits.\n        // for other fields, extra precision just adds one field.\n        if(isNumeric(tr)) tr = 4;\n        else tr = {y: 'm', m: 'd', d: 'M', M: 'S', S: 4}[tr];\n    }\n\n    var dateStr = Lib.formatDate(out.x, fmt, tr, ax._dateFormat, ax.calendar, ax._extraFormat),\n        headStr;\n\n    var splitIndex = dateStr.indexOf('\\n');\n    if(splitIndex !== -1) {\n        headStr = dateStr.substr(splitIndex + 1);\n        dateStr = dateStr.substr(0, splitIndex);\n    }\n\n    if(extraPrecision) {\n        // if extraPrecision led to trailing zeros, strip them off\n        // actually, this can lead to removing even more zeros than\n        // in the original rounding, but that's fine because in these\n        // contexts uniformity is not so important (if there's even\n        // anything to be uniform with!)\n\n        // can we remove the whole time part?\n        if(dateStr === '00:00:00' || dateStr === '00:00') {\n            dateStr = headStr;\n            headStr = '';\n        }\n        else if(dateStr.length === 8) {\n            // strip off seconds if they're zero (zero fractional seconds\n            // are already omitted)\n            // but we never remove minutes and leave just hours\n            dateStr = dateStr.replace(/:00$/, '');\n        }\n    }\n\n    if(headStr) {\n        if(hover) {\n            // hover puts it all on one line, so headPart works best up front\n            // except for year headPart: turn this into \"Jan 1, 2000\" etc.\n            if(tr === 'd') dateStr += ', ' + headStr;\n            else dateStr = headStr + (dateStr ? ', ' + dateStr : '');\n        }\n        else if(!ax._inCalcTicks || (headStr !== ax._prevDateHead)) {\n            dateStr += '<br>' + headStr;\n            ax._prevDateHead = headStr;\n        }\n    }\n\n    out.text = dateStr;\n}\n\nfunction formatLog(ax, out, hover, extraPrecision, hideexp) {\n    var dtick = ax.dtick;\n    var x = out.x;\n    var tickformat = ax.tickformat;\n    var dtChar0 = typeof dtick === 'string' && dtick.charAt(0);\n\n    if(hideexp === 'never') {\n        // If this is a hover label, then we must *never* hide the exponent\n        // for the sake of display, which could give the wrong value by\n        // potentially many orders of magnitude. If hideexp was 'never', then\n        // it's now succeeded by preventing the other condition from automating\n        // this choice. Thus we can unset it so that the axis formatting takes\n        // precedence.\n        hideexp = '';\n    }\n\n    if(extraPrecision && (dtChar0 !== 'L')) {\n        dtick = 'L3';\n        dtChar0 = 'L';\n    }\n\n    if(tickformat || (dtChar0 === 'L')) {\n        out.text = numFormat(Math.pow(10, x), ax, hideexp, extraPrecision);\n    }\n    else if(isNumeric(dtick) || ((dtChar0 === 'D') && (Lib.mod(x + 0.01, 1) < 0.1))) {\n        var p = Math.round(x);\n        var absP = Math.abs(p);\n        var exponentFormat = ax.exponentformat;\n        if(exponentFormat === 'power' || (isSIFormat(exponentFormat) && beyondSI(p))) {\n            if(p === 0) out.text = 1;\n            else if(p === 1) out.text = '10';\n            else out.text = '10<sup>' + (p > 1 ? '' : MINUS_SIGN) + absP + '</sup>';\n\n            out.fontSize *= 1.25;\n        }\n        else if((exponentFormat === 'e' || exponentFormat === 'E') && absP > 2) {\n            out.text = '1' + exponentFormat + (p > 0 ? '+' : MINUS_SIGN) + absP;\n        }\n        else {\n            out.text = numFormat(Math.pow(10, x), ax, '', 'fakehover');\n            if(dtick === 'D1' && ax._id.charAt(0) === 'y') {\n                out.dy -= out.fontSize / 6;\n            }\n        }\n    }\n    else if(dtChar0 === 'D') {\n        out.text = String(Math.round(Math.pow(10, Lib.mod(x, 1))));\n        out.fontSize *= 0.75;\n    }\n    else throw 'unrecognized dtick ' + String(dtick);\n\n    // if 9's are printed on log scale, move the 10's away a bit\n    if(ax.dtick === 'D1') {\n        var firstChar = String(out.text).charAt(0);\n        if(firstChar === '0' || firstChar === '1') {\n            if(ax._id.charAt(0) === 'y') {\n                out.dx -= out.fontSize / 4;\n            }\n            else {\n                out.dy += out.fontSize / 2;\n                out.dx += (ax.range[1] > ax.range[0] ? 1 : -1) *\n                    out.fontSize * (x < 0 ? 0.5 : 0.25);\n            }\n        }\n    }\n}\n\nfunction formatCategory(ax, out) {\n    var tt = ax._categories[Math.round(out.x)];\n    if(tt === undefined) tt = '';\n    out.text = String(tt);\n}\n\nfunction formatLinear(ax, out, hover, extraPrecision, hideexp) {\n    if(hideexp === 'never') {\n        // If this is a hover label, then we must *never* hide the exponent\n        // for the sake of display, which could give the wrong value by\n        // potentially many orders of magnitude. If hideexp was 'never', then\n        // it's now succeeded by preventing the other condition from automating\n        // this choice. Thus we can unset it so that the axis formatting takes\n        // precedence.\n        hideexp = '';\n    } else if(ax.showexponent === 'all' && Math.abs(out.x / ax.dtick) < 1e-6) {\n        // don't add an exponent to zero if we're showing all exponents\n        // so the only reason you'd show an exponent on zero is if it's the\n        // ONLY tick to get an exponent (first or last)\n        hideexp = 'hide';\n    }\n    out.text = numFormat(out.x, ax, hideexp, extraPrecision);\n}\n\nfunction formatAngle(ax, out, hover, extraPrecision, hideexp) {\n    if(ax.thetaunit === 'radians' && !hover) {\n        var num = out.x / 180;\n\n        if(num === 0) {\n            out.text = '0';\n        } else {\n            var frac = num2frac(num);\n\n            if(frac[1] >= 100) {\n                out.text = numFormat(Lib.deg2rad(out.x), ax, hideexp, extraPrecision);\n            } else {\n                var isNeg = out.x < 0;\n\n                if(frac[1] === 1) {\n                    if(frac[0] === 1) out.text = 'π';\n                    else out.text = frac[0] + 'π';\n                } else {\n                    out.text = [\n                        '<sup>', frac[0], '</sup>',\n                        '⁄',\n                        '<sub>', frac[1], '</sub>',\n                        'π'\n                    ].join('');\n                }\n\n                if(isNeg) out.text = MINUS_SIGN + out.text;\n            }\n        }\n    } else {\n        out.text = numFormat(out.x, ax, hideexp, extraPrecision);\n    }\n}\n\n// inspired by\n// https://github.com/yisibl/num2fraction/blob/master/index.js\nfunction num2frac(num) {\n    function almostEq(a, b) {\n        return Math.abs(a - b) <= 1e-6;\n    }\n\n    function findGCD(a, b) {\n        return almostEq(b, 0) ? a : findGCD(b, a % b);\n    }\n\n    function findPrecision(n) {\n        var e = 1;\n        while(!almostEq(Math.round(n * e) / e, n)) {\n            e *= 10;\n        }\n        return e;\n    }\n\n    var precision = findPrecision(num);\n    var number = num * precision;\n    var gcd = Math.abs(findGCD(number, precision));\n\n    return [\n        // numerator\n        Math.round(number / gcd),\n        // denominator\n        Math.round(precision / gcd)\n    ];\n}\n\n// format a number (tick value) according to the axis settings\n// new, more reliable procedure than d3.round or similar:\n// add half the rounding increment, then stringify and truncate\n// also automatically switch to sci. notation\nvar SIPREFIXES = ['f', 'p', 'n', 'μ', 'm', '', 'k', 'M', 'G', 'T'];\n\nfunction isSIFormat(exponentFormat) {\n    return exponentFormat === 'SI' || exponentFormat === 'B';\n}\n\n// are we beyond the range of common SI prefixes?\n// 10^-16 -> 1x10^-16\n// 10^-15 -> 1f\n// ...\n// 10^14 -> 100T\n// 10^15 -> 1x10^15\n// 10^16 -> 1x10^16\nfunction beyondSI(exponent) {\n    return exponent > 14 || exponent < -15;\n}\n\nfunction numFormat(v, ax, fmtoverride, hover) {\n        // negative?\n    var isNeg = v < 0,\n        // max number of digits past decimal point to show\n        tickRound = ax._tickround,\n        exponentFormat = fmtoverride || ax.exponentformat || 'B',\n        exponent = ax._tickexponent,\n        tickformat = axes.getTickFormat(ax),\n        separatethousands = ax.separatethousands;\n\n    // special case for hover: set exponent just for this value, and\n    // add a couple more digits of precision over tick labels\n    if(hover) {\n        // make a dummy axis obj to get the auto rounding and exponent\n        var ah = {\n            exponentformat: exponentFormat,\n            dtick: ax.showexponent === 'none' ? ax.dtick :\n                (isNumeric(v) ? Math.abs(v) || 1 : 1),\n            // if not showing any exponents, don't change the exponent\n            // from what we calculate\n            range: ax.showexponent === 'none' ? ax.range.map(ax.r2d) : [0, v || 1]\n        };\n        autoTickRound(ah);\n        tickRound = (Number(ah._tickround) || 0) + 4;\n        exponent = ah._tickexponent;\n        if(ax.hoverformat) tickformat = ax.hoverformat;\n    }\n\n    if(tickformat) return ax._numFormat(tickformat)(v).replace(/-/g, MINUS_SIGN);\n\n    // 'epsilon' - rounding increment\n    var e = Math.pow(10, -tickRound) / 2;\n\n    // exponentFormat codes:\n    // 'e' (1.2e+6, default)\n    // 'E' (1.2E+6)\n    // 'SI' (1.2M)\n    // 'B' (same as SI except 10^9=B not G)\n    // 'none' (1200000)\n    // 'power' (1.2x10^6)\n    // 'hide' (1.2, use 3rd argument=='hide' to eg\n    //      only show exponent on last tick)\n    if(exponentFormat === 'none') exponent = 0;\n\n    // take the sign out, put it back manually at the end\n    // - makes cases easier\n    v = Math.abs(v);\n    if(v < e) {\n        // 0 is just 0, but may get exponent if it's the last tick\n        v = '0';\n        isNeg = false;\n    }\n    else {\n        v += e;\n        // take out a common exponent, if any\n        if(exponent) {\n            v *= Math.pow(10, -exponent);\n            tickRound += exponent;\n        }\n        // round the mantissa\n        if(tickRound === 0) v = String(Math.floor(v));\n        else if(tickRound < 0) {\n            v = String(Math.round(v));\n            v = v.substr(0, v.length + tickRound);\n            for(var i = tickRound; i < 0; i++) v += '0';\n        }\n        else {\n            v = String(v);\n            var dp = v.indexOf('.') + 1;\n            if(dp) v = v.substr(0, dp + tickRound).replace(/\\.?0+$/, '');\n        }\n        // insert appropriate decimal point and thousands separator\n        v = Lib.numSeparate(v, ax._separators, separatethousands);\n    }\n\n    // add exponent\n    if(exponent && exponentFormat !== 'hide') {\n        if(isSIFormat(exponentFormat) && beyondSI(exponent)) exponentFormat = 'power';\n\n        var signedExponent;\n        if(exponent < 0) signedExponent = MINUS_SIGN + -exponent;\n        else if(exponentFormat !== 'power') signedExponent = '+' + exponent;\n        else signedExponent = String(exponent);\n\n        if(exponentFormat === 'e' || exponentFormat === 'E') {\n            v += exponentFormat + signedExponent;\n        }\n        else if(exponentFormat === 'power') {\n            v += '×10<sup>' + signedExponent + '</sup>';\n        }\n        else if(exponentFormat === 'B' && exponent === 9) {\n            v += 'B';\n        }\n        else if(isSIFormat(exponentFormat)) {\n            v += SIPREFIXES[exponent / 3 + 5];\n        }\n    }\n\n    // put sign back in and return\n    // replace standard minus character (which is technically a hyphen)\n    // with a true minus sign\n    if(isNeg) return MINUS_SIGN + v;\n    return v;\n}\n\naxes.getTickFormat = function(ax) {\n    var i;\n\n    function convertToMs(dtick) {\n        return typeof dtick !== 'string' ? dtick : Number(dtick.replace('M', '')) * ONEAVGMONTH;\n    }\n\n    function compareLogTicks(left, right) {\n        var priority = ['L', 'D'];\n        if(typeof left === typeof right) {\n            if(typeof left === 'number') {\n                return left - right;\n            } else {\n                var leftPriority = priority.indexOf(left.charAt(0));\n                var rightPriority = priority.indexOf(right.charAt(0));\n                if(leftPriority === rightPriority) {\n                    return Number(left.replace(/(L|D)/g, '')) - Number(right.replace(/(L|D)/g, ''));\n                } else {\n                    return leftPriority - rightPriority;\n                }\n            }\n        } else {\n            return typeof left === 'number' ? 1 : -1;\n        }\n    }\n\n    function isProperStop(dtick, range, convert) {\n        var convertFn = convert || function(x) { return x;};\n        var leftDtick = range[0];\n        var rightDtick = range[1];\n        return ((!leftDtick && typeof leftDtick !== 'number') || convertFn(leftDtick) <= convertFn(dtick)) &&\n               ((!rightDtick && typeof rightDtick !== 'number') || convertFn(rightDtick) >= convertFn(dtick));\n    }\n\n    function isProperLogStop(dtick, range) {\n        var isLeftDtickNull = range[0] === null;\n        var isRightDtickNull = range[1] === null;\n        var isDtickInRangeLeft = compareLogTicks(dtick, range[0]) >= 0;\n        var isDtickInRangeRight = compareLogTicks(dtick, range[1]) <= 0;\n        return (isLeftDtickNull || isDtickInRangeLeft) && (isRightDtickNull || isDtickInRangeRight);\n    }\n\n    var tickstop, stopi;\n    if(ax.tickformatstops && ax.tickformatstops.length > 0) {\n        switch(ax.type) {\n            case 'date':\n            case 'linear': {\n                for(i = 0; i < ax.tickformatstops.length; i++) {\n                    stopi = ax.tickformatstops[i];\n                    if(stopi.enabled && isProperStop(ax.dtick, stopi.dtickrange, convertToMs)) {\n                        tickstop = stopi;\n                        break;\n                    }\n                }\n                break;\n            }\n            case 'log': {\n                for(i = 0; i < ax.tickformatstops.length; i++) {\n                    stopi = ax.tickformatstops[i];\n                    if(stopi.enabled && isProperLogStop(ax.dtick, stopi.dtickrange)) {\n                        tickstop = stopi;\n                        break;\n                    }\n                }\n                break;\n            }\n            default:\n        }\n    }\n    return tickstop ? tickstop.value : ax.tickformat;\n};\n\n// getSubplots - extract all subplot IDs we need\n// as an array of items like 'xy', 'x2y', 'x2y2'...\n// sorted by x (x,x2,x3...) then y\n// optionally restrict to only subplots containing axis object ax\naxes.getSubplots = function(gd, ax) {\n    var subplotObj = gd._fullLayout._subplots;\n    var allSubplots = subplotObj.cartesian.concat(subplotObj.gl2d || []);\n\n    var out = ax ? axes.findSubplotsWithAxis(allSubplots, ax) : allSubplots;\n\n    out.sort(function(a, b) {\n        var aParts = a.substr(1).split('y');\n        var bParts = b.substr(1).split('y');\n\n        if(aParts[0] === bParts[0]) return +aParts[1] - +bParts[1];\n        return +aParts[0] - +bParts[0];\n    });\n\n    return out;\n};\n\n// find all subplots with axis 'ax'\naxes.findSubplotsWithAxis = function(subplots, ax) {\n    var axMatch = new RegExp(\n        (ax._id.charAt(0) === 'x') ? ('^' + ax._id + 'y') : (ax._id + '$')\n    );\n    var subplotsWithAxis = [];\n\n    for(var i = 0; i < subplots.length; i++) {\n        var sp = subplots[i];\n        if(axMatch.test(sp)) subplotsWithAxis.push(sp);\n    }\n\n    return subplotsWithAxis;\n};\n\n// makeClipPaths: prepare clipPaths for all single axes and all possible xy pairings\naxes.makeClipPaths = function(gd) {\n    var fullLayout = gd._fullLayout;\n\n    // for more info: https://github.com/plotly/plotly.js/issues/2595\n    if(fullLayout._hasOnlyLargeSploms) return;\n\n    var fullWidth = {_offset: 0, _length: fullLayout.width, _id: ''};\n    var fullHeight = {_offset: 0, _length: fullLayout.height, _id: ''};\n    var xaList = axes.list(gd, 'x', true);\n    var yaList = axes.list(gd, 'y', true);\n    var clipList = [];\n    var i, j;\n\n    for(i = 0; i < xaList.length; i++) {\n        clipList.push({x: xaList[i], y: fullHeight});\n        for(j = 0; j < yaList.length; j++) {\n            if(i === 0) clipList.push({x: fullWidth, y: yaList[j]});\n            clipList.push({x: xaList[i], y: yaList[j]});\n        }\n    }\n\n    // selectors don't work right with camelCase tags,\n    // have to use class instead\n    // https://groups.google.com/forum/#!topic/d3-js/6EpAzQ2gU9I\n    var axClips = fullLayout._clips.selectAll('.axesclip')\n        .data(clipList, function(d) { return d.x._id + d.y._id; });\n\n    axClips.enter().append('clipPath')\n        .classed('axesclip', true)\n        .attr('id', function(d) { return 'clip' + fullLayout._uid + d.x._id + d.y._id; })\n      .append('rect');\n\n    axClips.exit().remove();\n\n    axClips.each(function(d) {\n        d3.select(this).select('rect').attr({\n            x: d.x._offset || 0,\n            y: d.y._offset || 0,\n            width: d.x._length || 1,\n            height: d.y._length || 1\n        });\n    });\n};\n\n/**\n * Main multi-axis drawing routine!\n *\n * @param {DOM element} gd : graph div\n * @param {string or array of strings} arg : polymorphic argument\n * @param {boolean} skipTitle : optional flag to skip axis title draw/update\n *\n * Signature 1: Axes.doTicks(gd, 'redraw')\n *   use this to clear and redraw all axes on graph\n *\n * Signature 2: Axes.doTicks(gd, '')\n *   use this to draw all axes on graph w/o the selectAll().remove()\n *   of the 'redraw' signature\n *\n * Signature 3: Axes.doTicks(gd, [axId, axId2, ...])\n *   where the items are axis id string,\n *   use this to update multiple axes in one call\n *\n * N.B doTicks updates:\n * - ax._r (stored range for use by zoom/pan)\n * - ax._rl (stored linearized range for use by zoom/pan)\n */\naxes.doTicks = function(gd, arg, skipTitle) {\n    var fullLayout = gd._fullLayout;\n\n    if(arg === 'redraw') {\n        fullLayout._paper.selectAll('g.subplot').each(function(d) {\n            var id = d[0];\n            var plotinfo = fullLayout._plots[id];\n            var xa = plotinfo.xaxis;\n            var ya = plotinfo.yaxis;\n\n            plotinfo.xaxislayer.selectAll('.' + xa._id + 'tick').remove();\n            plotinfo.yaxislayer.selectAll('.' + ya._id + 'tick').remove();\n            if(plotinfo.gridlayer) plotinfo.gridlayer.selectAll('path').remove();\n            if(plotinfo.zerolinelayer) plotinfo.zerolinelayer.selectAll('path').remove();\n            fullLayout._infolayer.select('.g-' + xa._id + 'title').remove();\n            fullLayout._infolayer.select('.g-' + ya._id + 'title').remove();\n        });\n    }\n\n    var axList = (!arg || arg === 'redraw') ? axes.listIds(gd) : arg;\n\n    Lib.syncOrAsync(axList.map(function(axid) {\n        return function() {\n            if(!axid) return;\n\n            var axDone = axes.doTicksSingle(gd, axid, skipTitle);\n\n            var ax = axes.getFromId(gd, axid);\n            ax._r = ax.range.slice();\n            ax._rl = Lib.simpleMap(ax._r, ax.r2l);\n\n            return axDone;\n        };\n    }));\n};\n\n/**\n * Per-axis drawing routine!\n *\n * This routine draws axis ticks and much more (... grids, labels, title etc.)\n * Supports multiple argument signatures.\n * N.B. this thing is async in general (because of MathJax rendering)\n *\n * @param {DOM element} gd : graph div\n * @param {string or object} arg : polymorphic argument\n * @param {boolean} skipTitle : optional flag to skip axis title draw/update\n * @return {promise}\n *\n * Signature 1: Axes.doTicks(gd, ax)\n *   where ax is an axis object as in fullLayout\n *\n * Signature 2: Axes.doTicks(gd, axId)\n *   where axId is a axis id string\n */\naxes.doTicksSingle = function(gd, arg, skipTitle) {\n    var fullLayout = gd._fullLayout;\n    var independent = false;\n    var ax;\n\n    if(Lib.isPlainObject(arg)) {\n        ax = arg;\n        independent = true;\n    } else {\n        ax = axes.getFromId(gd, arg);\n    }\n\n    // set scaling to pixels\n    ax.setScale();\n\n    var axid = ax._id;\n    var axLetter = axid.charAt(0);\n    var counterLetter = axes.counterLetter(axid);\n    var vals = ax._vals = axes.calcTicks(ax);\n    var datafn = function(d) { return [d.text, d.x, ax.mirror, d.font, d.fontSize, d.fontColor].join('_'); };\n    var tcls = axid + 'tick';\n    var gcls = axid + 'grid';\n    var zcls = axid + 'zl';\n    var pad = (ax.linewidth || 1) / 2;\n    var labelStandoff = (ax.ticks === 'outside' ? ax.ticklen : 0);\n    var labelShift = 0;\n    var gridWidth = Drawing.crispRound(gd, ax.gridwidth, 1);\n    var zeroLineWidth = Drawing.crispRound(gd, ax.zerolinewidth, gridWidth);\n    var tickWidth = Drawing.crispRound(gd, ax.tickwidth, 1);\n    var sides, transfn, tickpathfn, subplots;\n    var tickLabels;\n    var i;\n\n    if(ax._counterangle && ax.ticks === 'outside') {\n        var caRad = ax._counterangle * Math.PI / 180;\n        labelStandoff = ax.ticklen * Math.cos(caRad) + 1;\n        labelShift = ax.ticklen * Math.sin(caRad);\n    }\n\n    if(ax.showticklabels && (ax.ticks === 'outside' || ax.showline)) {\n        labelStandoff += 0.2 * ax.tickfont.size;\n    }\n\n    // positioning arguments for x vs y axes\n    if(axLetter === 'x') {\n        sides = ['bottom', 'top'];\n        transfn = ax._transfn || function(d) {\n            return 'translate(' + (ax._offset + ax.l2p(d.x)) + ',0)';\n        };\n        tickpathfn = function(shift, len) {\n            if(ax._counterangle) {\n                var caRad = ax._counterangle * Math.PI / 180;\n                return 'M0,' + shift + 'l' + (Math.sin(caRad) * len) + ',' + (Math.cos(caRad) * len);\n            }\n            else return 'M0,' + shift + 'v' + len;\n        };\n    }\n    else if(axLetter === 'y') {\n        sides = ['left', 'right'];\n        transfn = ax._transfn || function(d) {\n            return 'translate(0,' + (ax._offset + ax.l2p(d.x)) + ')';\n        };\n        tickpathfn = function(shift, len) {\n            if(ax._counterangle) {\n                var caRad = ax._counterangle * Math.PI / 180;\n                return 'M' + shift + ',0l' + (Math.cos(caRad) * len) + ',' + (-Math.sin(caRad) * len);\n            }\n            else return 'M' + shift + ',0h' + len;\n        };\n    }\n    else if(isAngular(ax)) {\n        sides = ['left', 'right'];\n        transfn = ax._transfn;\n        tickpathfn = function(shift, len) {\n            return 'M' + shift + ',0h' + len;\n        };\n    }\n    else {\n        Lib.warn('Unrecognized doTicks axis:', axid);\n        return;\n    }\n\n    var axside = ax.side || sides[0];\n    // which direction do the side[0], side[1], and free ticks go?\n    // then we flip if outside XOR y axis\n    var ticksign = [-1, 1, axside === sides[1] ? 1 : -1];\n    if((ax.ticks !== 'inside') === (axLetter === 'x')) {\n        ticksign = ticksign.map(function(v) { return -v; });\n    }\n\n    if(!ax.visible) return;\n\n    if(ax._tickFilter) {\n        vals = vals.filter(ax._tickFilter);\n    }\n\n    // Remove zero lines, grid lines, and inside ticks if they're within\n    // 1 pixel of the end.\n    // The key case here is removing zero lines when the axis bound is zero.\n    // Don't clip angular values.\n    var valsClipped = ax._valsClipped = isAngular(ax) ?\n        vals :\n        vals.filter(function(d) { return clipEnds(ax, d.x); });\n\n    function drawTicks(container, tickpath) {\n        var ticks = container.selectAll('path.' + tcls)\n            .data(ax.ticks === 'inside' ? valsClipped : vals, datafn);\n\n        if(tickpath && ax.ticks) {\n            ticks.enter().append('path').classed(tcls, 1).classed('ticks', 1)\n                .classed('crisp', 1)\n                .call(Color.stroke, ax.tickcolor)\n                .style('stroke-width', tickWidth + 'px')\n                .attr('d', tickpath);\n            ticks.attr('transform', transfn);\n            ticks.exit().remove();\n        }\n        else ticks.remove();\n    }\n\n    function drawLabels(container, position) {\n        // tick labels - for now just the main labels.\n        // TODO: mirror labels, esp for subplots\n        tickLabels = container.selectAll('g.' + tcls).data(vals, datafn);\n\n        if(!isNumeric(position)) {\n            tickLabels.remove();\n            drawAxTitle();\n            return;\n        }\n        if(!ax.showticklabels) {\n            tickLabels.remove();\n            drawAxTitle();\n            calcBoundingBox();\n            return;\n        }\n\n        var labelx, labely, labelanchor, labelpos0, flipit;\n        if(axLetter === 'x') {\n            flipit = (axside === 'bottom') ? 1 : -1;\n            labelx = function(d) { return d.dx + labelShift * flipit; };\n            labelpos0 = position + (labelStandoff + pad) * flipit;\n            labely = function(d) {\n                return d.dy + labelpos0 + d.fontSize *\n                    ((axside === 'bottom') ? 1 : -0.2);\n            };\n            labelanchor = function(angle) {\n                if(!isNumeric(angle) || angle === 0 || angle === 180) {\n                    return 'middle';\n                }\n                return (angle * flipit < 0) ? 'end' : 'start';\n            };\n        }\n        else if(axLetter === 'y') {\n            flipit = (axside === 'right') ? 1 : -1;\n            labely = function(d) {\n                return d.dy + d.fontSize * MID_SHIFT - labelShift * flipit;\n            };\n            labelx = function(d) {\n                return d.dx + position + (labelStandoff + pad +\n                    ((Math.abs(ax.tickangle) === 90) ? d.fontSize / 2 : 0)) * flipit;\n            };\n            labelanchor = function(angle) {\n                if(isNumeric(angle) && Math.abs(angle) === 90) {\n                    return 'middle';\n                }\n                return axside === 'right' ? 'start' : 'end';\n            };\n        }\n        else if(isAngular(ax)) {\n            ax._labelShift = labelShift;\n            ax._labelStandoff = labelStandoff;\n            ax._pad = pad;\n\n            labelx = ax._labelx;\n            labely = ax._labely;\n            labelanchor = ax._labelanchor;\n        }\n\n        var maxFontSize = 0,\n            autoangle = 0,\n            labelsReady = [];\n        tickLabels.enter().append('g').classed(tcls, 1)\n            .append('text')\n                // only so tex has predictable alignment that we can\n                // alter later\n                .attr('text-anchor', 'middle')\n                .each(function(d) {\n                    var thisLabel = d3.select(this),\n                        newPromise = gd._promises.length;\n                    thisLabel\n                        .call(svgTextUtils.positionText, labelx(d), labely(d))\n                        .call(Drawing.font, d.font, d.fontSize, d.fontColor)\n                        .text(d.text)\n                        .call(svgTextUtils.convertToTspans, gd);\n                    newPromise = gd._promises[newPromise];\n                    if(newPromise) {\n                        // if we have an async label, we'll deal with that\n                        // all here so take it out of gd._promises and\n                        // instead position the label and promise this in\n                        // labelsReady\n                        labelsReady.push(gd._promises.pop().then(function() {\n                            positionLabels(thisLabel, ax.tickangle);\n                        }));\n                    }\n                    else {\n                        // sync label: just position it now.\n                        positionLabels(thisLabel, ax.tickangle);\n                    }\n                });\n        tickLabels.exit().remove();\n\n        tickLabels.each(function(d) {\n            maxFontSize = Math.max(maxFontSize, d.fontSize);\n        });\n\n        if(isAngular(ax)) {\n            tickLabels.each(function(d) {\n                d3.select(this).select('text')\n                    .call(svgTextUtils.positionText, labelx(d), labely(d));\n            });\n        }\n\n        // How much to shift a multi-line label to center it vertically.\n        function getAnchorHeight(lineCount, lineHeight, angle) {\n            var h = (lineCount - 1) * lineHeight;\n            if(axLetter === 'x') {\n                if(angle < -60 || 60 < angle) {\n                    return -0.5 * h;\n                } else if(axside === 'top') {\n                    return -h;\n                }\n            } else {\n                angle *= axside === 'left' ? 1 : -1;\n                if(angle < -30) {\n                    return -h;\n                } else if(angle < 30) {\n                    return -0.5 * h;\n                }\n            }\n            return 0;\n        }\n\n        function positionLabels(s, angle) {\n            s.each(function(d) {\n                var anchor = labelanchor(angle, d);\n                var thisLabel = d3.select(this),\n                    mathjaxGroup = thisLabel.select('.text-math-group'),\n                    transform = transfn.call(thisLabel.node(), d) +\n                        ((isNumeric(angle) && +angle !== 0) ?\n                        (' rotate(' + angle + ',' + labelx(d) + ',' +\n                            (labely(d) - d.fontSize / 2) + ')') :\n                        '');\n                var anchorHeight = getAnchorHeight(\n                    svgTextUtils.lineCount(thisLabel),\n                    LINE_SPACING * d.fontSize,\n                    isNumeric(angle) ? +angle : 0);\n                if(anchorHeight) {\n                    transform += ' translate(0, ' + anchorHeight + ')';\n                }\n                if(mathjaxGroup.empty()) {\n                    thisLabel.select('text').attr({\n                        transform: transform,\n                        'text-anchor': anchor\n                    });\n                }\n                else {\n                    var mjShift =\n                        Drawing.bBox(mathjaxGroup.node()).width *\n                            {end: -0.5, start: 0.5}[anchor];\n                    mathjaxGroup.attr('transform', transform +\n                        (mjShift ? 'translate(' + mjShift + ',0)' : ''));\n                }\n            });\n        }\n\n        // make sure all labels are correctly positioned at their base angle\n        // the positionLabels call above is only for newly drawn labels.\n        // do this without waiting, using the last calculated angle to\n        // minimize flicker, then do it again when we know all labels are\n        // there, putting back the prescribed angle to check for overlaps.\n        positionLabels(tickLabels, ax._lastangle || ax.tickangle);\n\n        function allLabelsReady() {\n            return labelsReady.length && Promise.all(labelsReady);\n        }\n\n        function fixLabelOverlaps() {\n            positionLabels(tickLabels, ax.tickangle);\n\n            // check for auto-angling if x labels overlap\n            // don't auto-angle at all for log axes with\n            // base and digit format\n            if(axLetter === 'x' && !isNumeric(ax.tickangle) &&\n                    (ax.type !== 'log' || String(ax.dtick).charAt(0) !== 'D')) {\n                var lbbArray = [];\n                tickLabels.each(function(d) {\n                    var s = d3.select(this),\n                        thisLabel = s.select('.text-math-group'),\n                        x = ax.l2p(d.x);\n                    if(thisLabel.empty()) thisLabel = s.select('text');\n\n                    var bb = Drawing.bBox(thisLabel.node());\n\n                    lbbArray.push({\n                        // ignore about y, just deal with x overlaps\n                        top: 0,\n                        bottom: 10,\n                        height: 10,\n                        left: x - bb.width / 2,\n                        // impose a 2px gap\n                        right: x + bb.width / 2 + 2,\n                        width: bb.width + 2\n                    });\n                });\n                for(i = 0; i < lbbArray.length - 1; i++) {\n                    if(Lib.bBoxIntersect(lbbArray[i], lbbArray[i + 1])) {\n                        // any overlap at all - set 30 degrees\n                        autoangle = 30;\n                        break;\n                    }\n                }\n                if(autoangle) {\n                    var tickspacing = Math.abs(\n                            (vals[vals.length - 1].x - vals[0].x) * ax._m\n                        ) / (vals.length - 1);\n                    if(tickspacing < maxFontSize * 2.5) {\n                        autoangle = 90;\n                    }\n                    positionLabels(tickLabels, autoangle);\n                }\n                ax._lastangle = autoangle;\n            }\n\n            // update the axis title\n            // (so it can move out of the way if needed)\n            // TODO: separate out scoot so we don't need to do\n            // a full redraw of the title (mostly relevant for MathJax)\n            drawAxTitle();\n            return axid + ' done';\n        }\n\n        function calcBoundingBox() {\n            if(ax.showticklabels) {\n                var gdBB = gd.getBoundingClientRect();\n                var bBox = container.node().getBoundingClientRect();\n\n                /*\n                 * the way we're going to use this, the positioning that matters\n                 * is relative to the origin of gd. This is important particularly\n                 * if gd is scrollable, and may have been scrolled between the time\n                 * we calculate this and the time we use it\n                 */\n\n                ax._boundingBox = {\n                    width: bBox.width,\n                    height: bBox.height,\n                    left: bBox.left - gdBB.left,\n                    right: bBox.right - gdBB.left,\n                    top: bBox.top - gdBB.top,\n                    bottom: bBox.bottom - gdBB.top\n                };\n            } else {\n                var gs = fullLayout._size;\n                var pos;\n\n                // set dummy bbox for ticklabel-less axes\n\n                if(axLetter === 'x') {\n                    pos = ax.anchor === 'free' ?\n                        gs.t + gs.h * (1 - ax.position) :\n                        gs.t + gs.h * (1 - ax._anchorAxis.domain[{bottom: 0, top: 1}[ax.side]]);\n\n                    ax._boundingBox = {\n                        top: pos,\n                        bottom: pos,\n                        left: ax._offset,\n                        right: ax._offset + ax._length,\n                        width: ax._length,\n                        height: 0\n                    };\n                } else {\n                    pos = ax.anchor === 'free' ?\n                        gs.l + gs.w * ax.position :\n                        gs.l + gs.w * ax._anchorAxis.domain[{left: 0, right: 1}[ax.side]];\n\n                    ax._boundingBox = {\n                        left: pos,\n                        right: pos,\n                        bottom: ax._offset + ax._length,\n                        top: ax._offset,\n                        height: ax._length,\n                        width: 0\n                    };\n                }\n            }\n\n            /*\n             * for spikelines: what's the full domain of positions in the\n             * opposite direction that are associated with this axis?\n             * This means any axes that we make a subplot with, plus the\n             * position of the axis itself if it's free.\n             */\n            if(subplots) {\n                var fullRange = ax._counterSpan = [Infinity, -Infinity];\n\n                for(i = 0; i < subplots.length; i++) {\n                    var subplot = fullLayout._plots[subplots[i]];\n                    var counterAxis = subplot[(axLetter === 'x') ? 'yaxis' : 'xaxis'];\n\n                    extendRange(fullRange, [\n                        counterAxis._offset,\n                        counterAxis._offset + counterAxis._length\n                    ]);\n                }\n\n                if(ax.anchor === 'free') {\n                    extendRange(fullRange, (axLetter === 'x') ?\n                        [ax._boundingBox.bottom, ax._boundingBox.top] :\n                        [ax._boundingBox.right, ax._boundingBox.left]);\n                }\n            }\n\n            function extendRange(range, newRange) {\n                range[0] = Math.min(range[0], newRange[0]);\n                range[1] = Math.max(range[1], newRange[1]);\n            }\n        }\n\n        function doAutoMargins() {\n            var pushKey = ax._name + '.automargin';\n            if(axLetter !== 'x' && axLetter !== 'y') { return; }\n            if(!ax.automargin) {\n                Plots.autoMargin(gd, pushKey);\n                return;\n            }\n\n            var s = ax.side[0];\n            var push = {x: 0, y: 0, r: 0, l: 0, t: 0, b: 0};\n\n            if(axLetter === 'x') {\n                push.y = (ax.anchor === 'free' ? ax.position :\n                        ax._anchorAxis.domain[s === 't' ? 1 : 0]);\n                push[s] += ax._boundingBox.height;\n            }\n            else {\n                push.x = (ax.anchor === 'free' ? ax.position :\n                        ax._anchorAxis.domain[s === 'r' ? 1 : 0]);\n                push[s] += ax._boundingBox.width;\n            }\n\n            if(ax.title !== fullLayout._dfltTitle[axLetter]) {\n                push[s] += ax.titlefont.size;\n            }\n\n            Plots.autoMargin(gd, pushKey, push);\n        }\n\n        var done = Lib.syncOrAsync([\n            allLabelsReady,\n            fixLabelOverlaps,\n            calcBoundingBox,\n            doAutoMargins\n        ]);\n        if(done && done.then) gd._promises.push(done);\n        return done;\n    }\n\n    function drawAxTitle() {\n        if(skipTitle) return;\n\n        // now this only applies to regular cartesian axes; colorbars and\n        // others ALWAYS call doTicks with skipTitle=true so they can\n        // configure their own titles.\n\n        // rangeslider takes over a bottom title so drop it here\n        if(ax.rangeslider && ax.rangeslider.visible && ax._boundingBox && ax.side === 'bottom') return;\n\n        var avoid = {\n            selection: tickLabels,\n            side: ax.side\n        };\n        var axLetter = axid.charAt(0);\n        var gs = gd._fullLayout._size;\n        var offsetBase = 1.5;\n        var fontSize = ax.titlefont.size;\n\n        var transform, counterAxis, x, y;\n\n        if(tickLabels.size()) {\n            var translation = Drawing.getTranslate(tickLabels.node().parentNode);\n            avoid.offsetLeft = translation.x;\n            avoid.offsetTop = translation.y;\n        }\n\n        var titleStandoff = 10 + fontSize * offsetBase +\n            (ax.linewidth ? ax.linewidth - 1 : 0);\n\n        if(axLetter === 'x') {\n            counterAxis = (ax.anchor === 'free') ?\n                {_offset: gs.t + (1 - (ax.position || 0)) * gs.h, _length: 0} :\n                axisIds.getFromId(gd, ax.anchor);\n\n            x = ax._offset + ax._length / 2;\n\n            if(ax.side === 'top') {\n                y = -titleStandoff - fontSize * (ax.showticklabels ? 1 : 0);\n            }\n            else {\n                y = counterAxis._length + titleStandoff +\n                    fontSize * (ax.showticklabels ? 1.5 : 0.5);\n            }\n            y += counterAxis._offset;\n\n            if(!avoid.side) avoid.side = 'bottom';\n        }\n        else {\n            counterAxis = (ax.anchor === 'free') ?\n                {_offset: gs.l + (ax.position || 0) * gs.w, _length: 0} :\n                axisIds.getFromId(gd, ax.anchor);\n\n            y = ax._offset + ax._length / 2;\n            if(ax.side === 'right') {\n                x = counterAxis._length + titleStandoff +\n                    fontSize * (ax.showticklabels ? 1 : 0.5);\n            }\n            else {\n                x = -titleStandoff - fontSize * (ax.showticklabels ? 0.5 : 0);\n            }\n            x += counterAxis._offset;\n\n            transform = {rotate: '-90', offset: 0};\n            if(!avoid.side) avoid.side = 'left';\n        }\n\n        Titles.draw(gd, axid + 'title', {\n            propContainer: ax,\n            propName: ax._name + '.title',\n            placeholder: fullLayout._dfltTitle[axLetter],\n            avoid: avoid,\n            transform: transform,\n            attributes: {x: x, y: y, 'text-anchor': 'middle'}\n        });\n    }\n\n    function drawGrid(plotinfo, counteraxis) {\n        if(fullLayout._hasOnlyLargeSploms) return;\n\n        var gridcontainer = plotinfo.gridlayer.selectAll('.' + axid);\n        var zlcontainer = plotinfo.zerolinelayer;\n        var gridpath = ax._gridpath || ((axLetter === 'x' ?\n                ('M0,' + counteraxis._offset + 'v') :\n                ('M' + counteraxis._offset + ',0h')\n            ) + counteraxis._length);\n        var grid = gridcontainer.selectAll('path.' + gcls)\n            .data((ax.showgrid === false) ? [] : valsClipped, datafn);\n        grid.enter().append('path').classed(gcls, 1)\n            .classed('crisp', 1)\n            .attr('d', gridpath)\n            .each(function(d) {\n                if(ax.zeroline && (ax.type === 'linear' || ax.type === '-') &&\n                        Math.abs(d.x) < ax.dtick / 100) {\n                    d3.select(this).remove();\n                }\n            });\n        grid.attr('transform', transfn)\n            .call(Color.stroke, ax.gridcolor || '#ddd')\n            .style('stroke-width', gridWidth + 'px');\n        if(typeof gridpath === 'function') grid.attr('d', gridpath);\n        grid.exit().remove();\n\n        // zero line\n        if(zlcontainer) {\n            var zlData = {x: 0, id: axid};\n            var showZl = axes.shouldShowZeroLine(gd, ax, counteraxis);\n            var zl = zlcontainer.selectAll('path.' + zcls)\n                .data(showZl ? [zlData] : []);\n            zl.enter().append('path').classed(zcls, 1).classed('zl', 1)\n                .classed('crisp', 1)\n                .attr('d', gridpath)\n                .each(function() {\n                    // use the fact that only one element can enter to trigger a sort.\n                    // If several zerolines enter at the same time we will sort once per,\n                    // but generally this should be a minimal overhead.\n                    zlcontainer.selectAll('path').sort(function(da, db) {\n                        return axisIds.idSort(da.id, db.id);\n                    });\n                });\n            zl.attr('transform', transfn)\n                .call(Color.stroke, ax.zerolinecolor || Color.defaultLine)\n                .style('stroke-width', zeroLineWidth + 'px');\n            zl.exit().remove();\n        }\n    }\n\n    if(independent) {\n        drawTicks(ax._axislayer, tickpathfn(ax._pos + pad * ticksign[2], ticksign[2] * ax.ticklen));\n        if(ax._counteraxis) {\n            var fictionalPlotinfo = {\n                gridlayer: ax._gridlayer,\n                zerolinelayer: ax._zerolinelayer\n            };\n            drawGrid(fictionalPlotinfo, ax._counteraxis);\n        }\n        return drawLabels(ax._axislayer, ax._pos);\n    }\n    else if(fullLayout._has('cartesian')) {\n        subplots = axes.getSubplots(gd, ax);\n\n        // keep track of which subplots (by main conteraxis) we've already\n        // drawn grids for, so we don't overdraw overlaying subplots\n        var finishedGrids = {};\n\n        subplots.map(function(subplot) {\n            var plotinfo = fullLayout._plots[subplot];\n            var counterAxis = plotinfo[counterLetter + 'axis'];\n\n            var mainCounterID = counterAxis._mainAxis._id;\n            if(finishedGrids[mainCounterID]) return;\n            finishedGrids[mainCounterID] = 1;\n\n            drawGrid(plotinfo, counterAxis, subplot);\n        });\n\n        var mainSubplot = ax._mainSubplot;\n        var mainPlotinfo = fullLayout._plots[mainSubplot];\n        var tickSubplots = [];\n\n        if(ax.ticks) {\n            var mainSign = ticksign[2];\n            var tickpath = tickpathfn(ax._mainLinePosition + pad * mainSign, mainSign * ax.ticklen);\n            if(ax._anchorAxis && ax.mirror && ax.mirror !== true) {\n                tickpath += tickpathfn(ax._mainMirrorPosition - pad * mainSign, -mainSign * ax.ticklen);\n            }\n            drawTicks(mainPlotinfo[axLetter + 'axislayer'], tickpath);\n\n            tickSubplots = Object.keys(ax._linepositions || {});\n        }\n\n        tickSubplots.map(function(subplot) {\n            var plotinfo = fullLayout._plots[subplot];\n\n            var container = plotinfo[axLetter + 'axislayer'];\n\n            // [bottom or left, top or right]\n            // free and main are handled above\n            var linepositions = ax._linepositions[subplot] || [];\n\n            function tickPathSide(sidei) {\n                var tsign = ticksign[sidei];\n                return tickpathfn(linepositions[sidei] + pad * tsign, tsign * ax.ticklen);\n            }\n\n            drawTicks(container, tickPathSide(0) + tickPathSide(1));\n        });\n\n        var mainContainer = mainPlotinfo[axLetter + 'axislayer'];\n\n        return drawLabels(mainContainer, ax._mainLinePosition);\n    }\n};\n\naxes.shouldShowZeroLine = function(gd, ax, counterAxis) {\n    var rng = Lib.simpleMap(ax.range, ax.r2l);\n    return (\n        (rng[0] * rng[1] <= 0) &&\n        ax.zeroline &&\n        (ax.type === 'linear' || ax.type === '-') &&\n        ax._valsClipped.length &&\n        (\n            clipEnds(ax, 0) ||\n            !anyCounterAxLineAtZero(gd, ax, counterAxis, rng) ||\n            hasBarsOrFill(gd, ax)\n        )\n    );\n};\n\nfunction clipEnds(ax, l) {\n    var p = ax.l2p(l);\n    return (p > 1 && p < ax._length - 1);\n}\n\nfunction anyCounterAxLineAtZero(gd, ax, counterAxis, rng) {\n    var mainCounterAxis = counterAxis._mainAxis;\n    if(!mainCounterAxis) return;\n\n    var fullLayout = gd._fullLayout;\n    var axLetter = ax._id.charAt(0);\n    var counterLetter = axes.counterLetter(ax._id);\n\n    var zeroPosition = ax._offset + (\n        ((Math.abs(rng[0]) < Math.abs(rng[1])) === (axLetter === 'x')) ?\n        0 : ax._length\n    );\n\n    function lineNearZero(ax2) {\n        if(!ax2.showline || !ax2.linewidth) return false;\n        var tolerance = Math.max((ax2.linewidth + ax.zerolinewidth) / 2, 1);\n\n        function closeEnough(pos2) {\n            return typeof pos2 === 'number' && Math.abs(pos2 - zeroPosition) < tolerance;\n        }\n\n        if(closeEnough(ax2._mainLinePosition) || closeEnough(ax2._mainMirrorPosition)) {\n            return true;\n        }\n        var linePositions = ax2._linepositions || {};\n        for(var k in linePositions) {\n            if(closeEnough(linePositions[k][0]) || closeEnough(linePositions[k][1])) {\n                return true;\n            }\n        }\n    }\n\n    var plotinfo = fullLayout._plots[counterAxis._mainSubplot];\n    if(!(plotinfo.mainplotinfo || plotinfo).overlays.length) {\n        return lineNearZero(counterAxis, zeroPosition);\n    }\n\n    var counterLetterAxes = axes.list(gd, counterLetter);\n    for(var i = 0; i < counterLetterAxes.length; i++) {\n        var counterAxis2 = counterLetterAxes[i];\n        if(\n            counterAxis2._mainAxis === mainCounterAxis &&\n            lineNearZero(counterAxis2, zeroPosition)\n        ) {\n            return true;\n        }\n    }\n}\n\nfunction hasBarsOrFill(gd, ax) {\n    var fullData = gd._fullData;\n    var subplot = ax._mainSubplot;\n    var axLetter = ax._id.charAt(0);\n\n    for(var i = 0; i < fullData.length; i++) {\n        var trace = fullData[i];\n\n        if(trace.visible === true &&\n            (trace.xaxis + trace.yaxis) === subplot &&\n            (\n                Registry.traceIs(trace, 'bar') && trace.orientation === {x: 'h', y: 'v'}[axLetter] ||\n                trace.fill && trace.fill.charAt(trace.fill.length - 1) === axLetter\n            )\n        ) {\n            return true;\n        }\n    }\n    return false;\n}\n\n/**\n * Find all margin pushers for 2D axes and reserve them for later use\n * Both label and rangeslider automargin calculations happen later so\n * we need to explicitly allow their ids in order to not delete them.\n *\n * TODO: can we pull the actual automargin calls forward to avoid this hack?\n * We're probably also doing multiple redraws in this case, would be faster\n * if we can just do the whole calculation ahead of time and draw once.\n */\naxes.allowAutoMargin = function(gd) {\n    var axList = axes.list(gd, '', true);\n    for(var i = 0; i < axList.length; i++) {\n        var ax = axList[i];\n        if(ax.automargin) {\n            Plots.allowAutoMargin(gd, ax._name + '.automargin');\n        }\n        if(ax.rangeslider && ax.rangeslider.visible) {\n            Plots.allowAutoMargin(gd, 'rangeslider' + ax._id);\n        }\n    }\n};\n\n// swap all the presentation attributes of the axes showing these traces\naxes.swap = function(gd, traces) {\n    var axGroups = makeAxisGroups(gd, traces);\n\n    for(var i = 0; i < axGroups.length; i++) {\n        swapAxisGroup(gd, axGroups[i].x, axGroups[i].y);\n    }\n};\n\nfunction makeAxisGroups(gd, traces) {\n    var groups = [],\n        i,\n        j;\n\n    for(i = 0; i < traces.length; i++) {\n        var groupsi = [],\n            xi = gd._fullData[traces[i]].xaxis,\n            yi = gd._fullData[traces[i]].yaxis;\n        if(!xi || !yi) continue; // not a 2D cartesian trace?\n\n        for(j = 0; j < groups.length; j++) {\n            if(groups[j].x.indexOf(xi) !== -1 || groups[j].y.indexOf(yi) !== -1) {\n                groupsi.push(j);\n            }\n        }\n\n        if(!groupsi.length) {\n            groups.push({x: [xi], y: [yi]});\n            continue;\n        }\n\n        var group0 = groups[groupsi[0]],\n            groupj;\n\n        if(groupsi.length > 1) {\n            for(j = 1; j < groupsi.length; j++) {\n                groupj = groups[groupsi[j]];\n                mergeAxisGroups(group0.x, groupj.x);\n                mergeAxisGroups(group0.y, groupj.y);\n            }\n        }\n        mergeAxisGroups(group0.x, [xi]);\n        mergeAxisGroups(group0.y, [yi]);\n    }\n\n    return groups;\n}\n\nfunction mergeAxisGroups(intoSet, fromSet) {\n    for(var i = 0; i < fromSet.length; i++) {\n        if(intoSet.indexOf(fromSet[i]) === -1) intoSet.push(fromSet[i]);\n    }\n}\n\nfunction swapAxisGroup(gd, xIds, yIds) {\n    var i,\n        j,\n        xFullAxes = [],\n        yFullAxes = [],\n        layout = gd.layout;\n\n    for(i = 0; i < xIds.length; i++) xFullAxes.push(axes.getFromId(gd, xIds[i]));\n    for(i = 0; i < yIds.length; i++) yFullAxes.push(axes.getFromId(gd, yIds[i]));\n\n    var allAxKeys = Object.keys(axAttrs);\n\n    var noSwapAttrs = [\n        'anchor', 'domain', 'overlaying', 'position', 'side', 'tickangle', 'editType'\n    ];\n    var numericTypes = ['linear', 'log'];\n\n    for(i = 0; i < allAxKeys.length; i++) {\n        var keyi = allAxKeys[i],\n            xVal = xFullAxes[0][keyi],\n            yVal = yFullAxes[0][keyi],\n            allEqual = true,\n            coerceLinearX = false,\n            coerceLinearY = false;\n        if(keyi.charAt(0) === '_' || typeof xVal === 'function' ||\n                noSwapAttrs.indexOf(keyi) !== -1) {\n            continue;\n        }\n        for(j = 1; j < xFullAxes.length && allEqual; j++) {\n            var xVali = xFullAxes[j][keyi];\n            if(keyi === 'type' && numericTypes.indexOf(xVal) !== -1 &&\n                    numericTypes.indexOf(xVali) !== -1 && xVal !== xVali) {\n                // type is special - if we find a mixture of linear and log,\n                // coerce them all to linear on flipping\n                coerceLinearX = true;\n            }\n            else if(xVali !== xVal) allEqual = false;\n        }\n        for(j = 1; j < yFullAxes.length && allEqual; j++) {\n            var yVali = yFullAxes[j][keyi];\n            if(keyi === 'type' && numericTypes.indexOf(yVal) !== -1 &&\n                    numericTypes.indexOf(yVali) !== -1 && yVal !== yVali) {\n                // type is special - if we find a mixture of linear and log,\n                // coerce them all to linear on flipping\n                coerceLinearY = true;\n            }\n            else if(yFullAxes[j][keyi] !== yVal) allEqual = false;\n        }\n        if(allEqual) {\n            if(coerceLinearX) layout[xFullAxes[0]._name].type = 'linear';\n            if(coerceLinearY) layout[yFullAxes[0]._name].type = 'linear';\n            swapAxisAttrs(layout, keyi, xFullAxes, yFullAxes, gd._fullLayout._dfltTitle);\n        }\n    }\n\n    // now swap x&y for any annotations anchored to these x & y\n    for(i = 0; i < gd._fullLayout.annotations.length; i++) {\n        var ann = gd._fullLayout.annotations[i];\n        if(xIds.indexOf(ann.xref) !== -1 &&\n                yIds.indexOf(ann.yref) !== -1) {\n            Lib.swapAttrs(layout.annotations[i], ['?']);\n        }\n    }\n}\n\nfunction swapAxisAttrs(layout, key, xFullAxes, yFullAxes, dfltTitle) {\n    // in case the value is the default for either axis,\n    // look at the first axis in each list and see if\n    // this key's value is undefined\n    var np = Lib.nestedProperty,\n        xVal = np(layout[xFullAxes[0]._name], key).get(),\n        yVal = np(layout[yFullAxes[0]._name], key).get(),\n        i;\n    if(key === 'title') {\n        // special handling of placeholder titles\n        if(xVal === dfltTitle.x) {\n            xVal = dfltTitle.y;\n        }\n        if(yVal === dfltTitle.y) {\n            yVal = dfltTitle.x;\n        }\n    }\n\n    for(i = 0; i < xFullAxes.length; i++) {\n        np(layout, xFullAxes[i]._name + '.' + key).set(yVal);\n    }\n    for(i = 0; i < yFullAxes.length; i++) {\n        np(layout, yFullAxes[i]._name + '.' + key).set(xVal);\n    }\n}\n\nfunction isAngular(ax) {\n    return ax._id === 'angularaxis';\n}\n\n},{\"../../components/color\":570,\"../../components/drawing\":595,\"../../components/titles\":661,\"../../constants/alignment\":668,\"../../constants/numerical\":673,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"../../plots/plots\":809,\"../../registry\":828,\"./autorange\":744,\"./axis_autotype\":746,\"./axis_ids\":748,\"./clean_ticks\":750,\"./layout_attributes\":758,\"./set_convert\":764,\"d3\":148,\"fast-isnumeric\":214}],746:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nmodule.exports = function autoType(array, calendar) {\n    if(moreDates(array, calendar)) return 'date';\n    if(category(array)) return 'category';\n    if(linearOK(array)) return 'linear';\n    else return '-';\n};\n\n// is there at least one number in array? If not, we should leave\n// ax.type empty so it can be autoset later\nfunction linearOK(array) {\n    if(!array) return false;\n\n    for(var i = 0; i < array.length; i++) {\n        if(isNumeric(array[i])) return true;\n    }\n\n    return false;\n}\n\n// does the array a have mostly dates rather than numbers?\n// note: some values can be neither (such as blanks, text)\n// 2- or 4-digit integers can be both, so require twice as many\n// dates as non-dates, to exclude cases with mostly 2 & 4 digit\n// numbers and a few dates\n// as with categories, consider DISTINCT values only.\nfunction moreDates(a, calendar) {\n    // test at most 1000 points, evenly spaced\n    var inc = Math.max(1, (a.length - 1) / 1000);\n    var dcnt = 0;\n    var ncnt = 0;\n    var seen = {};\n\n    for(var i = 0; i < a.length; i += inc) {\n        var ai = a[Math.round(i)];\n        var stri = String(ai);\n        if(seen[stri]) continue;\n        seen[stri] = 1;\n\n        if(Lib.isDateTime(ai, calendar)) dcnt += 1;\n        if(isNumeric(ai)) ncnt += 1;\n    }\n\n    return (dcnt > ncnt * 2);\n}\n\n// are the (x,y)-values in gd.data mostly text?\n// require twice as many DISTINCT categories as distinct numbers\nfunction category(a) {\n    // test at most 1000 points\n    var inc = Math.max(1, (a.length - 1) / 1000);\n    var curvenums = 0;\n    var curvecats = 0;\n    var seen = {};\n\n    for(var i = 0; i < a.length; i += inc) {\n        var ai = a[Math.round(i)];\n        var stri = String(ai);\n        if(seen[stri]) continue;\n        seen[stri] = 1;\n\n        if(typeof ai === 'boolean') curvecats++;\n        else if(Lib.cleanNumber(ai) !== BADNUM) curvenums++;\n        else if(typeof ai === 'string') curvecats++;\n    }\n\n    return curvecats > curvenums * 2;\n}\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"fast-isnumeric\":214}],747:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\n\nvar layoutAttributes = _dereq_('./layout_attributes');\nvar handleTickValueDefaults = _dereq_('./tick_value_defaults');\nvar handleTickMarkDefaults = _dereq_('./tick_mark_defaults');\nvar handleTickLabelDefaults = _dereq_('./tick_label_defaults');\nvar handleCategoryOrderDefaults = _dereq_('./category_order_defaults');\nvar handleLineGridDefaults = _dereq_('./line_grid_defaults');\nvar setConvert = _dereq_('./set_convert');\n\n/**\n * options: object containing:\n *\n *  letter: 'x' or 'y'\n *  title: name of the axis (ie 'Colorbar') to go in default title\n *  font: the default font to inherit\n *  outerTicks: boolean, should ticks default to outside?\n *  showGrid: boolean, should gridlines be shown by default?\n *  noHover: boolean, this axis doesn't support hover effects?\n *  data: the plot data, used to manage categories\n *  bgColor: the plot background color, to calculate default gridline colors\n */\nmodule.exports = function handleAxisDefaults(containerIn, containerOut, coerce, options, layoutOut) {\n    var letter = options.letter;\n    var font = options.font || {};\n    var splomStash = options.splomStash || {};\n\n    var visible = coerce('visible', !options.cheateronly);\n\n    var axType = containerOut.type;\n\n    if(axType === 'date') {\n        var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleDefaults');\n        handleCalendarDefaults(containerIn, containerOut, 'calendar', options.calendar);\n    }\n\n    setConvert(containerOut, layoutOut);\n\n    var autoRange = coerce('autorange', !containerOut.isValidRange(containerIn.range));\n    if(autoRange && (axType === 'linear' || axType === '-')) coerce('rangemode');\n\n    coerce('range');\n    containerOut.cleanRange();\n\n    handleCategoryOrderDefaults(containerIn, containerOut, coerce, options);\n\n    if(axType !== 'category' && !options.noHover) coerce('hoverformat');\n\n    if(!visible) return containerOut;\n\n    var dfltColor = coerce('color');\n    // if axis.color was provided, use it for fonts too; otherwise,\n    // inherit from global font color in case that was provided.\n    // Compare to dflt rather than to containerIn, so we can provide color via\n    // template too.\n    var dfltFontColor = (dfltColor !== layoutAttributes.color.dflt) ? dfltColor : font.color;\n    // try to get default title from splom trace, fallback to graph-wide value\n    var dfltTitle = splomStash.label || layoutOut._dfltTitle[letter];\n\n    coerce('title', dfltTitle);\n    Lib.coerceFont(coerce, 'titlefont', {\n        family: font.family,\n        size: Math.round(font.size * 1.2),\n        color: dfltFontColor\n    });\n\n    handleTickValueDefaults(containerIn, containerOut, coerce, axType);\n    handleTickLabelDefaults(containerIn, containerOut, coerce, axType, options);\n    handleTickMarkDefaults(containerIn, containerOut, coerce, options);\n    handleLineGridDefaults(containerIn, containerOut, coerce, {\n        dfltColor: dfltColor,\n        bgColor: options.bgColor,\n        showGrid: options.showGrid,\n        attributes: layoutAttributes\n    });\n\n    if(containerOut.showline || containerOut.ticks) coerce('mirror');\n\n    if(options.automargin) coerce('automargin');\n\n    return containerOut;\n};\n\n},{\"../../lib\":696,\"../../registry\":828,\"./category_order_defaults\":749,\"./layout_attributes\":758,\"./line_grid_defaults\":760,\"./set_convert\":764,\"./tick_label_defaults\":765,\"./tick_mark_defaults\":766,\"./tick_value_defaults\":767}],748:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\n\nvar constants = _dereq_('./constants');\n\n\n// convert between axis names (xaxis, xaxis2, etc, elements of gd.layout)\n// and axis id's (x, x2, etc). Would probably have ditched 'xaxis'\n// completely in favor of just 'x' if it weren't ingrained in the API etc.\nexports.id2name = function id2name(id) {\n    if(typeof id !== 'string' || !id.match(constants.AX_ID_PATTERN)) return;\n    var axNum = id.substr(1);\n    if(axNum === '1') axNum = '';\n    return id.charAt(0) + 'axis' + axNum;\n};\n\nexports.name2id = function name2id(name) {\n    if(!name.match(constants.AX_NAME_PATTERN)) return;\n    var axNum = name.substr(5);\n    if(axNum === '1') axNum = '';\n    return name.charAt(0) + axNum;\n};\n\nexports.cleanId = function cleanId(id, axLetter) {\n    if(!id.match(constants.AX_ID_PATTERN)) return;\n    if(axLetter && id.charAt(0) !== axLetter) return;\n\n    var axNum = id.substr(1).replace(/^0+/, '');\n    if(axNum === '1') axNum = '';\n    return id.charAt(0) + axNum;\n};\n\n// get all axis objects, as restricted in listNames\nexports.list = function(gd, axLetter, only2d) {\n    var fullLayout = gd._fullLayout;\n    if(!fullLayout) return [];\n\n    var idList = exports.listIds(gd, axLetter);\n    var out = new Array(idList.length);\n    var i;\n\n    for(i = 0; i < idList.length; i++) {\n        var idi = idList[i];\n        out[i] = fullLayout[idi.charAt(0) + 'axis' + idi.substr(1)];\n    }\n\n    if(!only2d) {\n        var sceneIds3D = fullLayout._subplots.gl3d || [];\n\n        for(i = 0; i < sceneIds3D.length; i++) {\n            var scene = fullLayout[sceneIds3D[i]];\n\n            if(axLetter) out.push(scene[axLetter + 'axis']);\n            else out.push(scene.xaxis, scene.yaxis, scene.zaxis);\n        }\n    }\n\n    return out;\n};\n\n// get all axis ids, optionally restricted by letter\n// this only makes sense for 2d axes\nexports.listIds = function(gd, axLetter) {\n    var fullLayout = gd._fullLayout;\n    if(!fullLayout) return [];\n\n    var subplotLists = fullLayout._subplots;\n    if(axLetter) return subplotLists[axLetter + 'axis'];\n    return subplotLists.xaxis.concat(subplotLists.yaxis);\n};\n\n// get an axis object from its id 'x','x2' etc\n// optionally, id can be a subplot (ie 'x2y3') and type gets x or y from it\nexports.getFromId = function(gd, id, type) {\n    var fullLayout = gd._fullLayout;\n\n    if(type === 'x') id = id.replace(/y[0-9]*/, '');\n    else if(type === 'y') id = id.replace(/x[0-9]*/, '');\n\n    return fullLayout[exports.id2name(id)];\n};\n\n// get an axis object of specified type from the containing trace\nexports.getFromTrace = function(gd, fullTrace, type) {\n    var fullLayout = gd._fullLayout;\n    var ax = null;\n\n    if(Registry.traceIs(fullTrace, 'gl3d')) {\n        var scene = fullTrace.scene;\n        if(scene.substr(0, 5) === 'scene') {\n            ax = fullLayout[scene][type + 'axis'];\n        }\n    }\n    else {\n        ax = exports.getFromId(gd, fullTrace[type + 'axis'] || type);\n    }\n\n    return ax;\n};\n\n// sort x, x2, x10, y, y2, y10...\nexports.idSort = function(id1, id2) {\n    var letter1 = id1.charAt(0);\n    var letter2 = id2.charAt(0);\n    if(letter1 !== letter2) return letter1 > letter2 ? 1 : -1;\n    return +(id1.substr(1) || 1) - +(id2.substr(1) || 1);\n};\n\n},{\"../../registry\":828,\"./constants\":751}],749:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nfunction findCategories(ax, opts) {\n    var dataAttr = opts.dataAttr || ax._id.charAt(0);\n    var lookup = {};\n    var axData;\n    var i, j;\n\n    if(opts.axData) {\n        // non-x/y case\n        axData = opts.axData;\n    } else {\n        // x/y case\n        axData = [];\n        for(i = 0; i < opts.data.length; i++) {\n            var trace = opts.data[i];\n            if(trace[dataAttr + 'axis'] === ax._id) {\n                axData.push(trace);\n            }\n        }\n    }\n\n    for(i = 0; i < axData.length; i++) {\n        var vals = axData[i][dataAttr];\n        for(j = 0; j < vals.length; j++) {\n            var v = vals[j];\n            if(v !== null && v !== undefined) {\n                lookup[v] = 1;\n            }\n        }\n    }\n\n    return Object.keys(lookup);\n}\n\n/**\n * Fills in category* default and initial categories.\n *\n * @param {object} containerIn : input axis object\n * @param {object} containerOut : full axis object\n * @param {function} coerce : Lib.coerce fn wrapper\n * @param {object} opts :\n *   - data {array} : (full) data trace\n * OR\n *   - axData {array} : (full) data associated with axis being coerced here\n *   - dataAttr {string} : attribute name corresponding to coordinate array\n */\nmodule.exports = function handleCategoryOrderDefaults(containerIn, containerOut, coerce, opts) {\n    if(containerOut.type !== 'category') return;\n\n    var arrayIn = containerIn.categoryarray;\n    var isValidArray = (Array.isArray(arrayIn) && arrayIn.length > 0);\n\n    // override default 'categoryorder' value when non-empty array is supplied\n    var orderDefault;\n    if(isValidArray) orderDefault = 'array';\n\n    var order = coerce('categoryorder', orderDefault);\n    var array;\n\n    // coerce 'categoryarray' only in array order case\n    if(order === 'array') {\n        array = coerce('categoryarray');\n    }\n\n    // cannot set 'categoryorder' to 'array' with an invalid 'categoryarray'\n    if(!isValidArray && order === 'array') {\n        order = containerOut.categoryorder = 'trace';\n    }\n\n    // set up things for makeCalcdata\n    if(order === 'trace') {\n        containerOut._initialCategories = [];\n    } else if(order === 'array') {\n        containerOut._initialCategories = array.slice();\n    } else {\n        array = findCategories(containerOut, opts).sort();\n        if(order === 'category ascending') {\n            containerOut._initialCategories = array;\n        } else if(order === 'category descending') {\n            containerOut._initialCategories = array.reverse();\n        }\n    }\n};\n\n},{}],750:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar Lib = _dereq_('../../lib');\nvar ONEDAY = _dereq_('../../constants/numerical').ONEDAY;\n\n/**\n * Return a validated dtick value for this axis\n *\n * @param {any} dtick: the candidate dtick. valid values are numbers and strings,\n *     and further constrained depending on the axis type.\n * @param {string} axType: the axis type\n */\nexports.dtick = function(dtick, axType) {\n    var isLog = axType === 'log';\n    var isDate = axType === 'date';\n    var isCat = axType === 'category';\n    var dtickDflt = isDate ? ONEDAY : 1;\n\n    if(!dtick) return dtickDflt;\n\n    if(isNumeric(dtick)) {\n        dtick = Number(dtick);\n        if(dtick <= 0) return dtickDflt;\n        if(isCat) {\n            // category dtick must be positive integers\n            return Math.max(1, Math.round(dtick));\n        }\n        if(isDate) {\n            // date dtick must be at least 0.1ms (our current precision)\n            return Math.max(0.1, dtick);\n        }\n        return dtick;\n    }\n\n    if(typeof dtick !== 'string' || !(isDate || isLog)) {\n        return dtickDflt;\n    }\n\n    var prefix = dtick.charAt(0);\n    var dtickNum = dtick.substr(1);\n    dtickNum = isNumeric(dtickNum) ? Number(dtickNum) : 0;\n\n    if((dtickNum <= 0) || !(\n            // \"M<n>\" gives ticks every (integer) n months\n            (isDate && prefix === 'M' && dtickNum === Math.round(dtickNum)) ||\n            // \"L<f>\" gives ticks linearly spaced in data (not in position) every (float) f\n            (isLog && prefix === 'L') ||\n            // \"D1\" gives powers of 10 with all small digits between, \"D2\" gives only 2 and 5\n            (isLog && prefix === 'D' && (dtickNum === 1 || dtickNum === 2))\n        )) {\n        return dtickDflt;\n    }\n\n    return dtick;\n};\n\n/**\n * Return a validated tick0 for this axis\n *\n * @param {any} tick0: the candidate tick0. Valid values are numbers and strings,\n *     further constrained depending on the axis type\n * @param {string} axType: the axis type\n * @param {string} calendar: for date axes, the calendar to validate/convert with\n * @param {any} dtick: an already valid dtick. Only used for D1 and D2 log dticks,\n *     which do not support tick0 at all.\n */\nexports.tick0 = function(tick0, axType, calendar, dtick) {\n    if(axType === 'date') {\n        return Lib.cleanDate(tick0, Lib.dateTick0(calendar));\n    }\n    if(dtick === 'D1' || dtick === 'D2') {\n        // D1 and D2 modes ignore tick0 entirely\n        return undefined;\n    }\n    // Aside from date axes, tick0 must be numeric\n    return isNumeric(tick0) ? Number(tick0) : 0;\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"fast-isnumeric\":214}],751:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\nvar counterRegex = _dereq_('../../lib/regex').counter;\n\n\nmodule.exports = {\n\n    idRegex: {\n        x: counterRegex('x'),\n        y: counterRegex('y')\n    },\n\n    attrRegex: counterRegex('[xy]axis'),\n\n    // axis match regular expression\n    xAxisMatch: counterRegex('xaxis'),\n    yAxisMatch: counterRegex('yaxis'),\n\n    // pattern matching axis ids and names\n    // note that this is more permissive than counterRegex, as\n    // id2name, name2id, and cleanId accept \"x1\" etc\n    AX_ID_PATTERN: /^[xyz][0-9]*$/,\n    AX_NAME_PATTERN: /^[xyz]axis[0-9]*$/,\n\n    // and for 2D subplots\n    SUBPLOT_PATTERN: /^x([0-9]*)y([0-9]*)$/,\n\n    // pixels to move mouse before you stop clamping to starting point\n    MINDRAG: 8,\n\n    // smallest dimension allowed for a select box\n    MINSELECT: 12,\n\n    // smallest dimension allowed for a zoombox\n    MINZOOM: 20,\n\n    // width of axis drag regions\n    DRAGGERSIZE: 20,\n\n    // max pixels off straight before a lasso select line counts as bent\n    BENDPX: 1.5,\n\n    // delay before a redraw (relayout) after smooth panning and zooming\n    REDRAWDELAY: 50,\n\n    // throttling limit (ms) for selectPoints calls\n    SELECTDELAY: 100,\n\n    // cache ID suffix for throttle\n    SELECTID: '-select',\n\n    // last resort axis ranges for x and y axes if we have no data\n    DFLTRANGEX: [-1, 6],\n    DFLTRANGEY: [-1, 4],\n\n    // Layers to keep trace types in the right order\n    // N.B. each  'unique' plot method must have its own layer\n    traceLayerClasses: [\n        'heatmaplayer',\n        'contourcarpetlayer', 'contourlayer',\n        'barlayer',\n        'carpetlayer',\n        'violinlayer',\n        'boxlayer',\n        'ohlclayer',\n        'scattercarpetlayer', 'scatterlayer'\n    ],\n\n    layerValue2layerClass: {\n        'above traces': 'above',\n        'below traces': 'below'\n    }\n};\n\n},{\"../../lib/regex\":713}],752:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar id2name = _dereq_('./axis_ids').id2name;\n\n\nmodule.exports = function handleConstraintDefaults(containerIn, containerOut, coerce, allAxisIds, layoutOut) {\n    var constraintGroups = layoutOut._axisConstraintGroups;\n    var thisID = containerOut._id;\n    var letter = thisID.charAt(0);\n\n    if(containerOut.fixedrange) return;\n\n    // coerce the constraint mechanics even if this axis has no scaleanchor\n    // because it may be the anchor of another axis.\n    coerce('constrain');\n    Lib.coerce(containerIn, containerOut, {\n        constraintoward: {\n            valType: 'enumerated',\n            values: letter === 'x' ? ['left', 'center', 'right'] : ['bottom', 'middle', 'top'],\n            dflt: letter === 'x' ? 'center' : 'middle'\n        }\n    }, 'constraintoward');\n\n    if(!containerIn.scaleanchor) return;\n\n    var constraintOpts = getConstraintOpts(constraintGroups, thisID, allAxisIds, layoutOut);\n\n    var scaleanchor = Lib.coerce(containerIn, containerOut, {\n        scaleanchor: {\n            valType: 'enumerated',\n            values: constraintOpts.linkableAxes\n        }\n    }, 'scaleanchor');\n\n    if(scaleanchor) {\n        var scaleratio = coerce('scaleratio');\n        // TODO: I suppose I could do attribute.min: Number.MIN_VALUE to avoid zero,\n        // but that seems hacky. Better way to say \"must be a positive number\"?\n        // Of course if you use several super-tiny values you could eventually\n        // force a product of these to zero and all hell would break loose...\n        // Likewise with super-huge values.\n        if(!scaleratio) scaleratio = containerOut.scaleratio = 1;\n\n        updateConstraintGroups(constraintGroups, constraintOpts.thisGroup,\n            thisID, scaleanchor, scaleratio);\n    }\n    else if(allAxisIds.indexOf(containerIn.scaleanchor) !== -1) {\n        Lib.warn('ignored ' + containerOut._name + '.scaleanchor: \"' +\n            containerIn.scaleanchor + '\" to avoid either an infinite loop ' +\n            'and possibly inconsistent scaleratios, or because the target' +\n            'axis has fixed range.');\n    }\n};\n\nfunction getConstraintOpts(constraintGroups, thisID, allAxisIds, layoutOut) {\n    // If this axis is already part of a constraint group, we can't\n    // scaleanchor any other axis in that group, or we'd make a loop.\n    // Filter allAxisIds to enforce this, also matching axis types.\n\n    var thisType = layoutOut[id2name(thisID)].type;\n\n    var i, j, idj, axj;\n\n    var linkableAxes = [];\n    for(j = 0; j < allAxisIds.length; j++) {\n        idj = allAxisIds[j];\n        if(idj === thisID) continue;\n\n        axj = layoutOut[id2name(idj)];\n        if(axj.type === thisType && !axj.fixedrange) linkableAxes.push(idj);\n    }\n\n    for(i = 0; i < constraintGroups.length; i++) {\n        if(constraintGroups[i][thisID]) {\n            var thisGroup = constraintGroups[i];\n\n            var linkableAxesNoLoops = [];\n            for(j = 0; j < linkableAxes.length; j++) {\n                idj = linkableAxes[j];\n                if(!thisGroup[idj]) linkableAxesNoLoops.push(idj);\n            }\n            return {linkableAxes: linkableAxesNoLoops, thisGroup: thisGroup};\n        }\n    }\n\n    return {linkableAxes: linkableAxes, thisGroup: null};\n}\n\n\n/*\n * Add this axis to the axis constraint groups, which is the collection\n * of axes that are all constrained together on scale.\n *\n * constraintGroups: a list of objects. each object is\n * {axis_id: scale_within_group}, where scale_within_group is\n * only important relative to the rest of the group, and defines\n * the relative scales between all axes in the group\n *\n * thisGroup: the group the current axis is already in\n * thisID: the id if the current axis\n * scaleanchor: the id of the axis to scale it with\n * scaleratio: the ratio of this axis to the scaleanchor axis\n */\nfunction updateConstraintGroups(constraintGroups, thisGroup, thisID, scaleanchor, scaleratio) {\n    var i, j, groupi, keyj, thisGroupIndex;\n\n    if(thisGroup === null) {\n        thisGroup = {};\n        thisGroup[thisID] = 1;\n        thisGroupIndex = constraintGroups.length;\n        constraintGroups.push(thisGroup);\n    }\n    else {\n        thisGroupIndex = constraintGroups.indexOf(thisGroup);\n    }\n\n    var thisGroupKeys = Object.keys(thisGroup);\n\n    // we know that this axis isn't in any other groups, but we don't know\n    // about the scaleanchor axis. If it is, we need to merge the groups.\n    for(i = 0; i < constraintGroups.length; i++) {\n        groupi = constraintGroups[i];\n        if(i !== thisGroupIndex && groupi[scaleanchor]) {\n            var baseScale = groupi[scaleanchor];\n            for(j = 0; j < thisGroupKeys.length; j++) {\n                keyj = thisGroupKeys[j];\n                groupi[keyj] = baseScale * scaleratio * thisGroup[keyj];\n            }\n            constraintGroups.splice(thisGroupIndex, 1);\n            return;\n        }\n    }\n\n    // otherwise, we insert the new scaleanchor axis as the base scale (1)\n    // in its group, and scale the rest of the group to it\n    if(scaleratio !== 1) {\n        for(j = 0; j < thisGroupKeys.length; j++) {\n            thisGroup[thisGroupKeys[j]] *= scaleratio;\n        }\n    }\n    thisGroup[scaleanchor] = 1;\n}\n\n},{\"../../lib\":696,\"./axis_ids\":748}],753:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar id2name = _dereq_('./axis_ids').id2name;\nvar scaleZoom = _dereq_('./scale_zoom');\nvar makePadFn = _dereq_('./autorange').makePadFn;\nvar concatExtremes = _dereq_('./autorange').concatExtremes;\n\nvar ALMOST_EQUAL = _dereq_('../../constants/numerical').ALMOST_EQUAL;\n\nvar FROM_BL = _dereq_('../../constants/alignment').FROM_BL;\n\n\nexports.enforce = function enforceAxisConstraints(gd) {\n    var fullLayout = gd._fullLayout;\n    var constraintGroups = fullLayout._axisConstraintGroups || [];\n\n    var i, j, axisID, ax, normScale, mode, factor;\n\n    for(i = 0; i < constraintGroups.length; i++) {\n        var group = constraintGroups[i];\n        var axisIDs = Object.keys(group);\n\n        var minScale = Infinity;\n        var maxScale = 0;\n        // mostly matchScale will be the same as minScale\n        // ie we expand axis ranges to encompass *everything*\n        // that's currently in any of their ranges, but during\n        // autorange of a subset of axes we will ignore other\n        // axes for this purpose.\n        var matchScale = Infinity;\n        var normScales = {};\n        var axes = {};\n        var hasAnyDomainConstraint = false;\n\n        // find the (normalized) scale of each axis in the group\n        for(j = 0; j < axisIDs.length; j++) {\n            axisID = axisIDs[j];\n            axes[axisID] = ax = fullLayout[id2name(axisID)];\n\n            if(ax._inputDomain) ax.domain = ax._inputDomain.slice();\n            else ax._inputDomain = ax.domain.slice();\n\n            if(!ax._inputRange) ax._inputRange = ax.range.slice();\n\n            // set axis scale here so we can use _m rather than\n            // having to calculate it from length and range\n            ax.setScale();\n\n            // abs: inverted scales still satisfy the constraint\n            normScales[axisID] = normScale = Math.abs(ax._m) / group[axisID];\n            minScale = Math.min(minScale, normScale);\n            if(ax.constrain === 'domain' || !ax._constraintShrinkable) {\n                matchScale = Math.min(matchScale, normScale);\n            }\n\n            // this has served its purpose, so remove it\n            delete ax._constraintShrinkable;\n            maxScale = Math.max(maxScale, normScale);\n\n            if(ax.constrain === 'domain') hasAnyDomainConstraint = true;\n        }\n\n        // Do we have a constraint mismatch? Give a small buffer for rounding errors\n        if(minScale > ALMOST_EQUAL * maxScale && !hasAnyDomainConstraint) continue;\n\n        // now increase any ranges we need to until all normalized scales are equal\n        for(j = 0; j < axisIDs.length; j++) {\n            axisID = axisIDs[j];\n            normScale = normScales[axisID];\n            ax = axes[axisID];\n            mode = ax.constrain;\n\n            // even if the scale didn't change, if we're shrinking domain\n            // we need to recalculate in case `constraintoward` changed\n            if(normScale !== matchScale || mode === 'domain') {\n                factor = normScale / matchScale;\n\n                if(mode === 'range') {\n                    scaleZoom(ax, factor);\n                }\n                else {\n                    // mode === 'domain'\n\n                    var inputDomain = ax._inputDomain;\n                    var domainShrunk = (ax.domain[1] - ax.domain[0]) /\n                        (inputDomain[1] - inputDomain[0]);\n                    var rangeShrunk = (ax.r2l(ax.range[1]) - ax.r2l(ax.range[0])) /\n                        (ax.r2l(ax._inputRange[1]) - ax.r2l(ax._inputRange[0]));\n\n                    factor /= domainShrunk;\n\n                    if(factor * rangeShrunk < 1) {\n                        // we've asked to magnify the axis more than we can just by\n                        // enlarging the domain - so we need to constrict range\n                        ax.domain = ax._input.domain = inputDomain.slice();\n                        scaleZoom(ax, factor);\n                        continue;\n                    }\n\n                    if(rangeShrunk < 1) {\n                        // the range has previously been constricted by ^^, but we've\n                        // switched to the domain-constricted regime, so reset range\n                        ax.range = ax._input.range = ax._inputRange.slice();\n                        factor *= rangeShrunk;\n                    }\n\n                    if(ax.autorange) {\n                        /*\n                         * range & factor may need to change because range was\n                         * calculated for the larger scaling, so some pixel\n                         * paddings may get cut off when we reduce the domain.\n                         *\n                         * This is easier than the regular autorange calculation\n                         * because we already know the scaling `m`, but we still\n                         * need to cut out impossible constraints (like\n                         * annotations with super-long arrows). That's what\n                         * outerMin/Max are for - if the expansion was going to\n                         * go beyond the original domain, it must be impossible\n                         */\n                        var rl0 = ax.r2l(ax.range[0]);\n                        var rl1 = ax.r2l(ax.range[1]);\n                        var rangeCenter = (rl0 + rl1) / 2;\n                        var rangeMin = rangeCenter;\n                        var rangeMax = rangeCenter;\n                        var halfRange = Math.abs(rl1 - rangeCenter);\n                        // extra tiny bit for rounding errors, in case we actually\n                        // *are* expanding to the full domain\n                        var outerMin = rangeCenter - halfRange * factor * 1.0001;\n                        var outerMax = rangeCenter + halfRange * factor * 1.0001;\n                        var getPad = makePadFn(ax);\n\n                        updateDomain(ax, factor);\n                        ax.setScale();\n                        var m = Math.abs(ax._m);\n                        var extremes = concatExtremes(gd, ax);\n                        var minArray = extremes.min;\n                        var maxArray = extremes.max;\n                        var newVal;\n                        var k;\n\n                        for(k = 0; k < minArray.length; k++) {\n                            newVal = minArray[k].val - getPad(minArray[k]) / m;\n                            if(newVal > outerMin && newVal < rangeMin) {\n                                rangeMin = newVal;\n                            }\n                        }\n\n                        for(k = 0; k < maxArray.length; k++) {\n                            newVal = maxArray[k].val + getPad(maxArray[k]) / m;\n                            if(newVal < outerMax && newVal > rangeMax) {\n                                rangeMax = newVal;\n                            }\n                        }\n\n                        var domainExpand = (rangeMax - rangeMin) / (2 * halfRange);\n                        factor /= domainExpand;\n\n                        rangeMin = ax.l2r(rangeMin);\n                        rangeMax = ax.l2r(rangeMax);\n                        ax.range = ax._input.range = (rl0 < rl1) ?\n                            [rangeMin, rangeMax] : [rangeMax, rangeMin];\n                    }\n\n                    updateDomain(ax, factor);\n                }\n            }\n        }\n    }\n};\n\n// For use before autoranging, check if this axis was previously constrained\n// by domain but no longer is\nexports.clean = function cleanConstraints(gd, ax) {\n    if(ax._inputDomain) {\n        var isConstrained = false;\n        var axId = ax._id;\n        var constraintGroups = gd._fullLayout._axisConstraintGroups;\n        for(var j = 0; j < constraintGroups.length; j++) {\n            if(constraintGroups[j][axId]) {\n                isConstrained = true;\n                break;\n            }\n        }\n        if(!isConstrained || ax.constrain !== 'domain') {\n            ax._input.domain = ax.domain = ax._inputDomain;\n            delete ax._inputDomain;\n        }\n    }\n};\n\nfunction updateDomain(ax, factor) {\n    var inputDomain = ax._inputDomain;\n    var centerFraction = FROM_BL[ax.constraintoward];\n    var center = inputDomain[0] + (inputDomain[1] - inputDomain[0]) * centerFraction;\n\n    ax.domain = ax._input.domain = [\n        center + (inputDomain[0] - center) / factor,\n        center + (inputDomain[1] - center) / factor\n    ];\n}\n\n},{\"../../constants/alignment\":668,\"../../constants/numerical\":673,\"./autorange\":744,\"./axis_ids\":748,\"./scale_zoom\":762}],754:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar tinycolor = _dereq_('tinycolor2');\nvar supportsPassive = _dereq_('has-passive-events');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\nvar Fx = _dereq_('../../components/fx');\nvar setCursor = _dereq_('../../lib/setcursor');\nvar dragElement = _dereq_('../../components/dragelement');\nvar FROM_TL = _dereq_('../../constants/alignment').FROM_TL;\nvar clearGlCanvases = _dereq_('../../lib/clear_gl_canvases');\nvar redrawReglTraces = _dereq_('../../plot_api/subroutines').redrawReglTraces;\n\nvar Plots = _dereq_('../plots');\n\nvar doTicksSingle = _dereq_('./axes').doTicksSingle;\nvar getFromId = _dereq_('./axis_ids').getFromId;\nvar prepSelect = _dereq_('./select').prepSelect;\nvar clearSelect = _dereq_('./select').clearSelect;\nvar selectOnClick = _dereq_('./select').selectOnClick;\nvar scaleZoom = _dereq_('./scale_zoom');\n\nvar constants = _dereq_('./constants');\nvar MINDRAG = constants.MINDRAG;\nvar MINZOOM = constants.MINZOOM;\n\n\n// flag for showing \"doubleclick to zoom out\" only at the beginning\nvar SHOWZOOMOUTTIP = true;\n\n// dragBox: create an element to drag one or more axis ends\n// inputs:\n//      plotinfo - which subplot are we making dragboxes on?\n//      x,y,w,h - left, top, width, height of the box\n//      ns - how does this drag the vertical axis?\n//          'n' - top only\n//          's' - bottom only\n//          'ns' - top and bottom together, difference unchanged\n//      ew - same for horizontal axis\nfunction makeDragBox(gd, plotinfo, x, y, w, h, ns, ew) {\n    // mouseDown stores ms of first mousedown event in the last\n    // DBLCLICKDELAY ms on the drag bars\n    // numClicks stores how many mousedowns have been seen\n    // within DBLCLICKDELAY so we can check for click or doubleclick events\n    // dragged stores whether a drag has occurred, so we don't have to\n    // redraw unnecessarily, ie if no move bigger than MINDRAG or MINZOOM px\n    var zoomlayer = gd._fullLayout._zoomlayer;\n    var isMainDrag = (ns + ew === 'nsew');\n    var singleEnd = (ns + ew).length === 1;\n\n    // main subplot x and y (i.e. found in plotinfo - the main ones)\n    var xa0, ya0;\n    // {ax._id: ax} hash objects\n    var xaHash, yaHash;\n    // xaHash/yaHash values (arrays)\n    var xaxes, yaxes;\n    // main axis offsets\n    var xs, ys;\n    // main axis lengths\n    var pw, ph;\n    // contains keys 'xaHash', 'yaHash', 'xaxes', and 'yaxes'\n    // which are the x/y {ax._id: ax} hash objects and their values\n    // for linked axis relative to this subplot\n    var links;\n    // set to ew/ns val when active, set to '' when inactive\n    var xActive, yActive;\n    // are all axes in this subplot are fixed?\n    var allFixedRanges;\n    // is subplot constrained?\n    var isSubplotConstrained;\n    // do we need to edit x/y ranges?\n    var editX, editY;\n    // graph-wide optimization flags\n    var hasScatterGl, hasSplom, hasSVG;\n    // collected changes to be made to the plot by relayout at the end\n    var updates;\n\n    function recomputeAxisLists() {\n        xa0 = plotinfo.xaxis;\n        ya0 = plotinfo.yaxis;\n        pw = xa0._length;\n        ph = ya0._length;\n        xs = xa0._offset;\n        ys = ya0._offset;\n\n        xaHash = {};\n        xaHash[xa0._id] = xa0;\n        yaHash = {};\n        yaHash[ya0._id] = ya0;\n\n        // if we're dragging two axes at once, also drag overlays\n        if(ns && ew) {\n            var overlays = plotinfo.overlays;\n            for(var i = 0; i < overlays.length; i++) {\n                var xa = overlays[i].xaxis;\n                xaHash[xa._id] = xa;\n                var ya = overlays[i].yaxis;\n                yaHash[ya._id] = ya;\n            }\n        }\n\n        xaxes = hashValues(xaHash);\n        yaxes = hashValues(yaHash);\n        xActive = isDirectionActive(xaxes, ew);\n        yActive = isDirectionActive(yaxes, ns);\n        allFixedRanges = !yActive && !xActive;\n\n        links = calcLinks(gd, xaHash, yaHash);\n        isSubplotConstrained = links.isSubplotConstrained;\n        editX = ew || isSubplotConstrained;\n        editY = ns || isSubplotConstrained;\n\n        var fullLayout = gd._fullLayout;\n        hasScatterGl = fullLayout._has('scattergl');\n        hasSplom = fullLayout._has('splom');\n        hasSVG = fullLayout._has('svg');\n    }\n\n    recomputeAxisLists();\n\n    var cursor = getDragCursor(yActive + xActive, gd._fullLayout.dragmode, isMainDrag);\n    var dragger = makeRectDragger(plotinfo, ns + ew + 'drag', cursor, x, y, w, h);\n\n    // still need to make the element if the axes are disabled\n    // but nuke its events (except for maindrag which needs them for hover)\n    // and stop there\n    if(allFixedRanges && !isMainDrag) {\n        dragger.onmousedown = null;\n        dragger.style.pointerEvents = 'none';\n        return dragger;\n    }\n\n    var dragOptions = {\n        element: dragger,\n        gd: gd,\n        plotinfo: plotinfo\n    };\n\n    dragOptions.prepFn = function(e, startX, startY) {\n        var dragModePrev = dragOptions.dragmode;\n        var dragModeNow = gd._fullLayout.dragmode;\n        if(dragModeNow !== dragModePrev) {\n            dragOptions.dragmode = dragModeNow;\n        }\n\n        recomputeAxisLists();\n\n        if(!allFixedRanges) {\n            if(isMainDrag) {\n                // main dragger handles all drag modes, and changes\n                // to pan (or to zoom if it already is pan) on shift\n                if(e.shiftKey) {\n                    if(dragModeNow === 'pan') dragModeNow = 'zoom';\n                    else if(!isSelectOrLasso(dragModeNow)) dragModeNow = 'pan';\n                }\n                else if(e.ctrlKey) {\n                    dragModeNow = 'pan';\n                }\n            }\n            // all other draggers just pan\n            else dragModeNow = 'pan';\n        }\n\n        if(dragModeNow === 'lasso') dragOptions.minDrag = 1;\n        else dragOptions.minDrag = undefined;\n\n        if(isSelectOrLasso(dragModeNow)) {\n            dragOptions.xaxes = xaxes;\n            dragOptions.yaxes = yaxes;\n            // this attaches moveFn, clickFn, doneFn on dragOptions\n            prepSelect(e, startX, startY, dragOptions, dragModeNow);\n        } else {\n            dragOptions.clickFn = clickFn;\n            if(isSelectOrLasso(dragModePrev)) {\n                // TODO Fix potential bug\n                // Note: clearing / resetting selection state only happens, when user\n                // triggers at least one interaction in pan/zoom mode. Otherwise, the\n                // select/lasso outlines are deleted (in plots.js.cleanPlot) but the selection\n                // cache isn't cleared. So when the user switches back to select/lasso and\n                // 'adds to a selection' with Shift, the \"old\", seemingly removed outlines\n                // are redrawn again because the selection cache still holds their coordinates.\n                // However, this isn't easily solved, since plots.js would need\n                // to have a reference to the dragOptions object (which holds the\n                // selection cache).\n                clearAndResetSelect();\n            }\n\n            if(!allFixedRanges) {\n                if(dragModeNow === 'zoom') {\n                    dragOptions.moveFn = zoomMove;\n                    dragOptions.doneFn = zoomDone;\n\n                    // zoomMove takes care of the threshold, but we need to\n                    // minimize this so that constrained zoom boxes will flip\n                    // orientation at the right place\n                    dragOptions.minDrag = 1;\n\n                    zoomPrep(e, startX, startY);\n                } else if(dragModeNow === 'pan') {\n                    dragOptions.moveFn = plotDrag;\n                    dragOptions.doneFn = dragTail;\n                }\n            }\n        }\n    };\n\n    function clearAndResetSelect() {\n        // clear selection polygon cache (if any)\n        dragOptions.plotinfo.selection = false;\n        // clear selection outlines\n        clearSelect(zoomlayer);\n    }\n\n    function clickFn(numClicks, evt) {\n        var clickmode = gd._fullLayout.clickmode;\n\n        removeZoombox(gd);\n\n        if(numClicks === 2 && !singleEnd) doubleClick();\n\n        if(isMainDrag) {\n            if(clickmode.indexOf('select') > -1) {\n                selectOnClick(evt, gd, xaxes, yaxes, plotinfo.id, dragOptions);\n            }\n\n            if(clickmode.indexOf('event') > -1) {\n                Fx.click(gd, evt, plotinfo.id);\n            }\n        }\n        else if(numClicks === 1 && singleEnd) {\n            var ax = ns ? ya0 : xa0,\n                end = (ns === 's' || ew === 'w') ? 0 : 1,\n                attrStr = ax._name + '.range[' + end + ']',\n                initialText = getEndText(ax, end),\n                hAlign = 'left',\n                vAlign = 'middle';\n\n            if(ax.fixedrange) return;\n\n            if(ns) {\n                vAlign = (ns === 'n') ? 'top' : 'bottom';\n                if(ax.side === 'right') hAlign = 'right';\n            }\n            else if(ew === 'e') hAlign = 'right';\n\n            if(gd._context.showAxisRangeEntryBoxes) {\n                d3.select(dragger)\n                    .call(svgTextUtils.makeEditable, {\n                        gd: gd,\n                        immediate: true,\n                        background: gd._fullLayout.paper_bgcolor,\n                        text: String(initialText),\n                        fill: ax.tickfont ? ax.tickfont.color : '#444',\n                        horizontalAlign: hAlign,\n                        verticalAlign: vAlign\n                    })\n                    .on('edit', function(text) {\n                        var v = ax.d2r(text);\n                        if(v !== undefined) {\n                            Registry.call('relayout', gd, attrStr, v);\n                        }\n                    });\n            }\n        }\n    }\n\n    dragElement.init(dragOptions);\n\n    var x0,\n        y0,\n        box,\n        lum,\n        path0,\n        dimmed,\n        zoomMode,\n        zb,\n        corners;\n\n    // zoom takes over minDrag, so it also has to take over gd._dragged\n    var zoomDragged;\n\n    function zoomPrep(e, startX, startY) {\n        var dragBBox = dragger.getBoundingClientRect();\n        x0 = startX - dragBBox.left;\n        y0 = startY - dragBBox.top;\n        box = {l: x0, r: x0, w: 0, t: y0, b: y0, h: 0};\n        lum = gd._hmpixcount ?\n            (gd._hmlumcount / gd._hmpixcount) :\n            tinycolor(gd._fullLayout.plot_bgcolor).getLuminance();\n        path0 = 'M0,0H' + pw + 'V' + ph + 'H0V0';\n        dimmed = false;\n        zoomMode = 'xy';\n        zoomDragged = false;\n\n        zb = makeZoombox(zoomlayer, lum, xs, ys, path0);\n\n        corners = makeCorners(zoomlayer, xs, ys);\n    }\n\n    function zoomMove(dx0, dy0) {\n        if(gd._transitioningWithDuration) {\n            return false;\n        }\n\n        var x1 = Math.max(0, Math.min(pw, dx0 + x0)),\n            y1 = Math.max(0, Math.min(ph, dy0 + y0)),\n            dx = Math.abs(x1 - x0),\n            dy = Math.abs(y1 - y0);\n\n        box.l = Math.min(x0, x1);\n        box.r = Math.max(x0, x1);\n        box.t = Math.min(y0, y1);\n        box.b = Math.max(y0, y1);\n\n        function noZoom() {\n            zoomMode = '';\n            box.r = box.l;\n            box.t = box.b;\n            corners.attr('d', 'M0,0Z');\n        }\n\n        if(isSubplotConstrained) {\n            if(dx > MINZOOM || dy > MINZOOM) {\n                zoomMode = 'xy';\n                if(dx / pw > dy / ph) {\n                    dy = dx * ph / pw;\n                    if(y0 > y1) box.t = y0 - dy;\n                    else box.b = y0 + dy;\n                }\n                else {\n                    dx = dy * pw / ph;\n                    if(x0 > x1) box.l = x0 - dx;\n                    else box.r = x0 + dx;\n                }\n                corners.attr('d', xyCorners(box));\n            }\n            else {\n                noZoom();\n            }\n        }\n        // look for small drags in one direction or the other,\n        // and only drag the other axis\n        else if(!yActive || dy < Math.min(Math.max(dx * 0.6, MINDRAG), MINZOOM)) {\n            if(dx < MINDRAG || !xActive) {\n                noZoom();\n            } else {\n                box.t = 0;\n                box.b = ph;\n                zoomMode = 'x';\n                corners.attr('d', xCorners(box, y0));\n            }\n        }\n        else if(!xActive || dx < Math.min(dy * 0.6, MINZOOM)) {\n            box.l = 0;\n            box.r = pw;\n            zoomMode = 'y';\n            corners.attr('d', yCorners(box, x0));\n        }\n        else {\n            zoomMode = 'xy';\n            corners.attr('d', xyCorners(box));\n        }\n        box.w = box.r - box.l;\n        box.h = box.b - box.t;\n\n        if(zoomMode) zoomDragged = true;\n        gd._dragged = zoomDragged;\n\n        updateZoombox(zb, corners, box, path0, dimmed, lum);\n        dimmed = true;\n    }\n\n    function zoomDone() {\n        updates = {};\n\n        // more strict than dragged, which allows you to come back to where you started\n        // and still count as dragged\n        if(Math.min(box.h, box.w) < MINDRAG * 2) {\n            return removeZoombox(gd);\n        }\n\n        // TODO: edit linked axes in zoomAxRanges and in dragTail\n        if(zoomMode === 'xy' || zoomMode === 'x') {\n            zoomAxRanges(xaxes, box.l / pw, box.r / pw, updates, links.xaxes);\n        }\n        if(zoomMode === 'xy' || zoomMode === 'y') {\n            zoomAxRanges(yaxes, (ph - box.b) / ph, (ph - box.t) / ph, updates, links.yaxes);\n        }\n\n        removeZoombox(gd);\n        dragTail();\n        showDoubleClickNotifier(gd);\n    }\n\n    // scroll zoom, on all draggers except corners\n    var scrollViewBox = [0, 0, pw, ph];\n    // wait a little after scrolling before redrawing\n    var redrawTimer = null;\n    var REDRAWDELAY = constants.REDRAWDELAY;\n    var mainplot = plotinfo.mainplot ? gd._fullLayout._plots[plotinfo.mainplot] : plotinfo;\n\n    function zoomWheel(e) {\n        // deactivate mousewheel scrolling on embedded graphs\n        // devs can override this with layout._enablescrollzoom,\n        // but _ ensures this setting won't leave their page\n        if(!gd._context.scrollZoom && !gd._fullLayout._enablescrollzoom) {\n            return;\n        }\n\n        clearAndResetSelect();\n\n        // If a transition is in progress, then disable any behavior:\n        if(gd._transitioningWithDuration) {\n            e.preventDefault();\n            e.stopPropagation();\n            return;\n        }\n\n        var pc = gd.querySelector('.plotly');\n\n        recomputeAxisLists();\n\n        // if the plot has scrollbars (more than a tiny excess)\n        // disable scrollzoom too.\n        if(pc.scrollHeight - pc.clientHeight > 10 ||\n                pc.scrollWidth - pc.clientWidth > 10) {\n            return;\n        }\n\n        clearTimeout(redrawTimer);\n\n        var wheelDelta = -e.deltaY;\n        if(!isFinite(wheelDelta)) wheelDelta = e.wheelDelta / 10;\n        if(!isFinite(wheelDelta)) {\n            Lib.log('Did not find wheel motion attributes: ', e);\n            return;\n        }\n\n        var zoom = Math.exp(-Math.min(Math.max(wheelDelta, -20), 20) / 200),\n            gbb = mainplot.draglayer.select('.nsewdrag')\n                .node().getBoundingClientRect(),\n            xfrac = (e.clientX - gbb.left) / gbb.width,\n            yfrac = (gbb.bottom - e.clientY) / gbb.height,\n            i;\n\n        function zoomWheelOneAxis(ax, centerFraction, zoom) {\n            if(ax.fixedrange) return;\n\n            var axRange = Lib.simpleMap(ax.range, ax.r2l),\n                v0 = axRange[0] + (axRange[1] - axRange[0]) * centerFraction;\n            function doZoom(v) { return ax.l2r(v0 + (v - v0) * zoom); }\n            ax.range = axRange.map(doZoom);\n        }\n\n        if(editX) {\n            // if we're only zooming this axis because of constraints,\n            // zoom it about the center\n            if(!ew) xfrac = 0.5;\n\n            for(i = 0; i < xaxes.length; i++) {\n                zoomWheelOneAxis(xaxes[i], xfrac, zoom);\n            }\n\n            scrollViewBox[2] *= zoom;\n            scrollViewBox[0] += scrollViewBox[2] * xfrac * (1 / zoom - 1);\n        }\n        if(editY) {\n            if(!ns) yfrac = 0.5;\n\n            for(i = 0; i < yaxes.length; i++) {\n                zoomWheelOneAxis(yaxes[i], yfrac, zoom);\n            }\n\n            scrollViewBox[3] *= zoom;\n            scrollViewBox[1] += scrollViewBox[3] * (1 - yfrac) * (1 / zoom - 1);\n        }\n\n        // viewbox redraw at first\n        updateSubplots(scrollViewBox);\n        ticksAndAnnotations(ns, ew);\n\n        // then replot after a delay to make sure\n        // no more scrolling is coming\n        redrawTimer = setTimeout(function() {\n            scrollViewBox = [0, 0, pw, ph];\n            dragTail();\n        }, REDRAWDELAY);\n\n        e.preventDefault();\n        return;\n    }\n\n    // everything but the corners gets wheel zoom\n    if(ns.length * ew.length !== 1) {\n        attachWheelEventHandler(dragger, zoomWheel);\n    }\n\n    // plotDrag: move the plot in response to a drag\n    function plotDrag(dx, dy) {\n        // If a transition is in progress, then disable any behavior:\n        if(gd._transitioningWithDuration) {\n            return;\n        }\n\n        if(xActive === 'ew' || yActive === 'ns') {\n            if(xActive) dragAxList(xaxes, dx);\n            if(yActive) dragAxList(yaxes, dy);\n            updateSubplots([xActive ? -dx : 0, yActive ? -dy : 0, pw, ph]);\n            ticksAndAnnotations(yActive, xActive);\n            return;\n        }\n\n        // dz: set a new value for one end (0 or 1) of an axis array axArray,\n        // and return a pixel shift for that end for the viewbox\n        // based on pixel drag distance d\n        // TODO: this makes (generally non-fatal) errors when you get\n        // near floating point limits\n        function dz(axArray, end, d) {\n            var otherEnd = 1 - end,\n                movedAx,\n                newLinearizedEnd;\n            for(var i = 0; i < axArray.length; i++) {\n                var axi = axArray[i];\n                if(axi.fixedrange) continue;\n                movedAx = axi;\n                newLinearizedEnd = axi._rl[otherEnd] +\n                    (axi._rl[end] - axi._rl[otherEnd]) / dZoom(d / axi._length);\n                var newEnd = axi.l2r(newLinearizedEnd);\n\n                // if l2r comes back false or undefined, it means we've dragged off\n                // the end of valid ranges - so stop.\n                if(newEnd !== false && newEnd !== undefined) axi.range[end] = newEnd;\n            }\n            return movedAx._length * (movedAx._rl[end] - newLinearizedEnd) /\n                (movedAx._rl[end] - movedAx._rl[otherEnd]);\n        }\n\n        if(isSubplotConstrained && xActive && yActive) {\n            // dragging a corner of a constrained subplot:\n            // respect the fixed corner, but harmonize dx and dy\n            var dxySign = ((xActive === 'w') === (yActive === 'n')) ? 1 : -1;\n            var dxyFraction = (dx / pw + dxySign * dy / ph) / 2;\n            dx = dxyFraction * pw;\n            dy = dxySign * dxyFraction * ph;\n        }\n\n        if(xActive === 'w') dx = dz(xaxes, 0, dx);\n        else if(xActive === 'e') dx = dz(xaxes, 1, -dx);\n        else if(!xActive) dx = 0;\n\n        if(yActive === 'n') dy = dz(yaxes, 1, dy);\n        else if(yActive === 's') dy = dz(yaxes, 0, -dy);\n        else if(!yActive) dy = 0;\n\n        var x0 = (xActive === 'w') ? dx : 0;\n        var y0 = (yActive === 'n') ? dy : 0;\n\n        if(isSubplotConstrained) {\n            var i;\n            if(!xActive && yActive.length === 1) {\n                // dragging one end of the y axis of a constrained subplot\n                // scale the other axis the same about its middle\n                for(i = 0; i < xaxes.length; i++) {\n                    xaxes[i].range = xaxes[i]._r.slice();\n                    scaleZoom(xaxes[i], 1 - dy / ph);\n                }\n                dx = dy * pw / ph;\n                x0 = dx / 2;\n            }\n            if(!yActive && xActive.length === 1) {\n                for(i = 0; i < yaxes.length; i++) {\n                    yaxes[i].range = yaxes[i]._r.slice();\n                    scaleZoom(yaxes[i], 1 - dx / pw);\n                }\n                dy = dx * ph / pw;\n                y0 = dy / 2;\n            }\n        }\n\n        updateSubplots([x0, y0, pw - dx, ph - dy]);\n        ticksAndAnnotations(yActive, xActive);\n    }\n\n    // Draw ticks and annotations (and other components) when ranges change.\n    // Also records the ranges that have changed for use by update at the end.\n    function ticksAndAnnotations(ns, ew) {\n        var activeAxIds = [],\n            i;\n\n        function pushActiveAxIds(axList) {\n            for(i = 0; i < axList.length; i++) {\n                if(!axList[i].fixedrange) activeAxIds.push(axList[i]._id);\n            }\n        }\n\n        if(editX) {\n            pushActiveAxIds(xaxes);\n            pushActiveAxIds(links.xaxes);\n        }\n        if(editY) {\n            pushActiveAxIds(yaxes);\n            pushActiveAxIds(links.yaxes);\n        }\n\n        updates = {};\n        for(i = 0; i < activeAxIds.length; i++) {\n            var axId = activeAxIds[i];\n            doTicksSingle(gd, axId, true);\n            var ax = getFromId(gd, axId);\n            updates[ax._name + '.range[0]'] = ax.range[0];\n            updates[ax._name + '.range[1]'] = ax.range[1];\n        }\n\n        function redrawObjs(objArray, method, shortCircuit) {\n            for(i = 0; i < objArray.length; i++) {\n                var obji = objArray[i];\n\n                if((ew && activeAxIds.indexOf(obji.xref) !== -1) ||\n                    (ns && activeAxIds.indexOf(obji.yref) !== -1)) {\n                    method(gd, i);\n                    // once is enough for images (which doesn't use the `i` arg anyway)\n                    if(shortCircuit) return;\n                }\n            }\n        }\n\n        // annotations and shapes 'draw' method is slow,\n        // use the finer-grained 'drawOne' method instead\n\n        redrawObjs(gd._fullLayout.annotations || [], Registry.getComponentMethod('annotations', 'drawOne'));\n        redrawObjs(gd._fullLayout.shapes || [], Registry.getComponentMethod('shapes', 'drawOne'));\n        redrawObjs(gd._fullLayout.images || [], Registry.getComponentMethod('images', 'draw'), true);\n    }\n\n    function doubleClick() {\n        if(gd._transitioningWithDuration) return;\n\n        var doubleClickConfig = gd._context.doubleClick,\n            axList = (xActive ? xaxes : []).concat(yActive ? yaxes : []),\n            attrs = {};\n\n        var ax, i, rangeInitial;\n\n        // For reset+autosize mode:\n        // If *any* of the main axes is not at its initial range\n        // (or autoranged, if we have no initial range, to match the logic in\n        // doubleClickConfig === 'reset' below), we reset.\n        // If they are *all* at their initial ranges, then we autosize.\n        if(doubleClickConfig === 'reset+autosize') {\n\n            doubleClickConfig = 'autosize';\n\n            for(i = 0; i < axList.length; i++) {\n                ax = axList[i];\n                if((ax._rangeInitial && (\n                        ax.range[0] !== ax._rangeInitial[0] ||\n                        ax.range[1] !== ax._rangeInitial[1]\n                    )) ||\n                    (!ax._rangeInitial && !ax.autorange)\n                ) {\n                    doubleClickConfig = 'reset';\n                    break;\n                }\n            }\n        }\n\n        if(doubleClickConfig === 'autosize') {\n            // don't set the linked axes here, so relayout marks them as shrinkable\n            // and we autosize just to the requested axis/axes\n            for(i = 0; i < axList.length; i++) {\n                ax = axList[i];\n                if(!ax.fixedrange) attrs[ax._name + '.autorange'] = true;\n            }\n        }\n        else if(doubleClickConfig === 'reset') {\n            // when we're resetting, reset all linked axes too, so we get back\n            // to the fully-auto-with-constraints situation\n            if(xActive || isSubplotConstrained) axList = axList.concat(links.xaxes);\n            if(yActive && !isSubplotConstrained) axList = axList.concat(links.yaxes);\n\n            if(isSubplotConstrained) {\n                if(!xActive) axList = axList.concat(xaxes);\n                else if(!yActive) axList = axList.concat(yaxes);\n            }\n\n            for(i = 0; i < axList.length; i++) {\n                ax = axList[i];\n\n                if(!ax._rangeInitial) {\n                    attrs[ax._name + '.autorange'] = true;\n                }\n                else {\n                    rangeInitial = ax._rangeInitial;\n                    attrs[ax._name + '.range[0]'] = rangeInitial[0];\n                    attrs[ax._name + '.range[1]'] = rangeInitial[1];\n                }\n            }\n        }\n\n        gd.emit('plotly_doubleclick', null);\n        Registry.call('relayout', gd, attrs);\n    }\n\n    // dragTail - finish a drag event with a redraw\n    function dragTail() {\n        // put the subplot viewboxes back to default (Because we're going to)\n        // be repositioning the data in the relayout. But DON'T call\n        // ticksAndAnnotations again - it's unnecessary and would overwrite `updates`\n        updateSubplots([0, 0, pw, ph]);\n\n        // since we may have been redrawing some things during the drag, we may have\n        // accumulated MathJax promises - wait for them before we relayout.\n        Lib.syncOrAsync([\n            Plots.previousPromises,\n            function() { Registry.call('relayout', gd, updates); }\n        ], gd);\n    }\n\n    // x/y scaleFactor stash,\n    // minimizes number of per-point DOM updates in updateSubplots below\n    var xScaleFactorOld, yScaleFactorOld;\n\n    // updateSubplots - find all plot viewboxes that should be\n    // affected by this drag, and update them. look for all plots\n    // sharing an affected axis (including the one being dragged),\n    // includes also scattergl and splom logic.\n    function updateSubplots(viewBox) {\n        var fullLayout = gd._fullLayout;\n        var plotinfos = fullLayout._plots;\n        var subplots = fullLayout._subplots.cartesian;\n        var i, sp, xa, ya;\n\n        if(hasSplom) {\n            Registry.subplotsRegistry.splom.drag(gd);\n        }\n\n        if(hasScatterGl) {\n            for(i = 0; i < subplots.length; i++) {\n                sp = plotinfos[subplots[i]];\n                xa = sp.xaxis;\n                ya = sp.yaxis;\n\n                if(sp._scene) {\n                    var xrng = Lib.simpleMap(xa.range, xa.r2l);\n                    var yrng = Lib.simpleMap(ya.range, ya.r2l);\n                    sp._scene.update({range: [xrng[0], yrng[0], xrng[1], yrng[1]]});\n                }\n            }\n        }\n\n        if(hasSplom || hasScatterGl) {\n            clearGlCanvases(gd);\n            redrawReglTraces(gd);\n        }\n\n        if(hasSVG) {\n            var xScaleFactor = viewBox[2] / xa0._length;\n            var yScaleFactor = viewBox[3] / ya0._length;\n\n            for(i = 0; i < subplots.length; i++) {\n                sp = plotinfos[subplots[i]];\n                xa = sp.xaxis;\n                ya = sp.yaxis;\n\n                var editX2 = editX && !xa.fixedrange && xaHash[xa._id];\n                var editY2 = editY && !ya.fixedrange && yaHash[ya._id];\n\n                var xScaleFactor2, yScaleFactor2;\n                var clipDx, clipDy;\n\n                if(editX2) {\n                    xScaleFactor2 = xScaleFactor;\n                    clipDx = ew ? viewBox[0] : getShift(xa, xScaleFactor2);\n                } else {\n                    xScaleFactor2 = getLinkedScaleFactor(xa, xScaleFactor, yScaleFactor);\n                    clipDx = scaleAndGetShift(xa, xScaleFactor2);\n                }\n\n                if(editY2) {\n                    yScaleFactor2 = yScaleFactor;\n                    clipDy = ns ? viewBox[1] : getShift(ya, yScaleFactor2);\n                } else {\n                    yScaleFactor2 = getLinkedScaleFactor(ya, xScaleFactor, yScaleFactor);\n                    clipDy = scaleAndGetShift(ya, yScaleFactor2);\n                }\n\n                // don't scale at all if neither axis is scalable here\n                if(!xScaleFactor2 && !yScaleFactor2) {\n                    continue;\n                }\n\n                // but if only one is, reset the other axis scaling\n                if(!xScaleFactor2) xScaleFactor2 = 1;\n                if(!yScaleFactor2) yScaleFactor2 = 1;\n\n                var plotDx = xa._offset - clipDx / xScaleFactor2;\n                var plotDy = ya._offset - clipDy / yScaleFactor2;\n\n                // TODO could be more efficient here:\n                // setTranslate and setScale do a lot of extra work\n                // when working independently, should perhaps combine\n                // them into a single routine.\n                sp.clipRect\n                    .call(Drawing.setTranslate, clipDx, clipDy)\n                    .call(Drawing.setScale, xScaleFactor2, yScaleFactor2);\n\n                sp.plot\n                    .call(Drawing.setTranslate, plotDx, plotDy)\n                    .call(Drawing.setScale, 1 / xScaleFactor2, 1 / yScaleFactor2);\n\n                // apply an inverse scale to individual points to counteract\n                // the scale of the trace group.\n                // apply only when scale changes, as adjusting the scale of\n                // all the points can be expansive.\n                if(xScaleFactor2 !== xScaleFactorOld || yScaleFactor2 !== yScaleFactorOld) {\n                    Drawing.setPointGroupScale(sp.zoomScalePts, xScaleFactor2, yScaleFactor2);\n                    Drawing.setTextPointsScale(sp.zoomScaleTxt, xScaleFactor2, yScaleFactor2);\n                }\n\n                Drawing.hideOutsideRangePoints(sp.clipOnAxisFalseTraces, sp);\n\n                // update x/y scaleFactor stash\n                xScaleFactorOld = xScaleFactor2;\n                yScaleFactorOld = yScaleFactor2;\n            }\n        }\n    }\n\n    // Find the appropriate scaling for this axis, if it's linked to the\n    // dragged axes by constraints. 0 is special, it means this axis shouldn't\n    // ever be scaled (will be converted to 1 if the other axis is scaled)\n    function getLinkedScaleFactor(ax, xScaleFactor, yScaleFactor) {\n        if(ax.fixedrange) return 0;\n\n        if(editX && links.xaHash[ax._id]) {\n            return xScaleFactor;\n        }\n        if(editY && (isSubplotConstrained ? links.xaHash : links.yaHash)[ax._id]) {\n            return yScaleFactor;\n        }\n        return 0;\n    }\n\n    function scaleAndGetShift(ax, scaleFactor) {\n        if(scaleFactor) {\n            ax.range = ax._r.slice();\n            scaleZoom(ax, scaleFactor);\n            return getShift(ax, scaleFactor);\n        }\n        return 0;\n    }\n\n    function getShift(ax, scaleFactor) {\n        return ax._length * (1 - scaleFactor) * FROM_TL[ax.constraintoward || 'middle'];\n    }\n\n    return dragger;\n}\n\nfunction makeDragger(plotinfo, nodeName, dragClass, cursor) {\n    var dragger3 = Lib.ensureSingle(plotinfo.draglayer, nodeName, dragClass, function(s) {\n        s.classed('drag', true)\n            .style({fill: 'transparent', 'stroke-width': 0})\n            .attr('data-subplot', plotinfo.id);\n    });\n\n    dragger3.call(setCursor, cursor);\n\n    return dragger3.node();\n}\n\nfunction makeRectDragger(plotinfo, dragClass, cursor, x, y, w, h) {\n    var dragger = makeDragger(plotinfo, 'rect', dragClass, cursor);\n    d3.select(dragger).call(Drawing.setRect, x, y, w, h);\n    return dragger;\n}\n\nfunction isDirectionActive(axList, activeVal) {\n    for(var i = 0; i < axList.length; i++) {\n        if(!axList[i].fixedrange) return activeVal;\n    }\n    return '';\n}\n\nfunction getEndText(ax, end) {\n    var initialVal = ax.range[end],\n        diff = Math.abs(initialVal - ax.range[1 - end]),\n        dig;\n\n    // TODO: this should basically be ax.r2d but we're doing extra\n    // rounding here... can we clean up at all?\n    if(ax.type === 'date') {\n        return initialVal;\n    }\n    else if(ax.type === 'log') {\n        dig = Math.ceil(Math.max(0, -Math.log(diff) / Math.LN10)) + 3;\n        return d3.format('.' + dig + 'g')(Math.pow(10, initialVal));\n    }\n    else { // linear numeric (or category... but just show numbers here)\n        dig = Math.floor(Math.log(Math.abs(initialVal)) / Math.LN10) -\n            Math.floor(Math.log(diff) / Math.LN10) + 4;\n        return d3.format('.' + String(dig) + 'g')(initialVal);\n    }\n}\n\nfunction zoomAxRanges(axList, r0Fraction, r1Fraction, updates, linkedAxes) {\n    var i,\n        axi,\n        axRangeLinear0,\n        axRangeLinearSpan;\n\n    for(i = 0; i < axList.length; i++) {\n        axi = axList[i];\n        if(axi.fixedrange) continue;\n\n        axRangeLinear0 = axi._rl[0];\n        axRangeLinearSpan = axi._rl[1] - axRangeLinear0;\n        axi.range = [\n            axi.l2r(axRangeLinear0 + axRangeLinearSpan * r0Fraction),\n            axi.l2r(axRangeLinear0 + axRangeLinearSpan * r1Fraction)\n        ];\n\n        updates[axi._name + '.range[0]'] = axi.range[0];\n        updates[axi._name + '.range[1]'] = axi.range[1];\n    }\n\n    // zoom linked axes about their centers\n    if(linkedAxes && linkedAxes.length) {\n        var linkedR0Fraction = (r0Fraction + (1 - r1Fraction)) / 2;\n\n        zoomAxRanges(linkedAxes, linkedR0Fraction, 1 - linkedR0Fraction, updates);\n    }\n}\n\nfunction dragAxList(axList, pix) {\n    for(var i = 0; i < axList.length; i++) {\n        var axi = axList[i];\n        if(!axi.fixedrange) {\n            axi.range = [\n                axi.l2r(axi._rl[0] - pix / axi._m),\n                axi.l2r(axi._rl[1] - pix / axi._m)\n            ];\n        }\n    }\n}\n\n// common transform for dragging one end of an axis\n// d>0 is compressing scale (cursor is over the plot,\n//  the axis end should move with the cursor)\n// d<0 is expanding (cursor is off the plot, axis end moves\n//  nonlinearly so you can expand far)\nfunction dZoom(d) {\n    return 1 - ((d >= 0) ? Math.min(d, 0.9) :\n        1 / (1 / Math.max(d, -0.3) + 3.222));\n}\n\nfunction getDragCursor(nsew, dragmode, isMainDrag) {\n    if(!nsew) return 'pointer';\n    if(nsew === 'nsew') {\n        // in this case here, clear cursor and\n        // use the cursor style set on <g .draglayer>\n        if(isMainDrag) return '';\n        if(dragmode === 'pan') return 'move';\n        return 'crosshair';\n    }\n    return nsew.toLowerCase() + '-resize';\n}\n\nfunction makeZoombox(zoomlayer, lum, xs, ys, path0) {\n    return zoomlayer.append('path')\n        .attr('class', 'zoombox')\n        .style({\n            'fill': lum > 0.2 ? 'rgba(0,0,0,0)' : 'rgba(255,255,255,0)',\n            'stroke-width': 0\n        })\n        .attr('transform', 'translate(' + xs + ', ' + ys + ')')\n        .attr('d', path0 + 'Z');\n}\n\nfunction makeCorners(zoomlayer, xs, ys) {\n    return zoomlayer.append('path')\n        .attr('class', 'zoombox-corners')\n        .style({\n            fill: Color.background,\n            stroke: Color.defaultLine,\n            'stroke-width': 1,\n            opacity: 0\n        })\n        .attr('transform', 'translate(' + xs + ', ' + ys + ')')\n        .attr('d', 'M0,0Z');\n}\n\nfunction updateZoombox(zb, corners, box, path0, dimmed, lum) {\n    zb.attr('d',\n        path0 + 'M' + (box.l) + ',' + (box.t) + 'v' + (box.h) +\n        'h' + (box.w) + 'v-' + (box.h) + 'h-' + (box.w) + 'Z');\n    transitionZoombox(zb, corners, dimmed, lum);\n}\n\nfunction transitionZoombox(zb, corners, dimmed, lum) {\n    if(!dimmed) {\n        zb.transition()\n            .style('fill', lum > 0.2 ? 'rgba(0,0,0,0.4)' :\n                'rgba(255,255,255,0.3)')\n            .duration(200);\n        corners.transition()\n            .style('opacity', 1)\n            .duration(200);\n    }\n}\n\nfunction removeZoombox(gd) {\n    d3.select(gd)\n        .selectAll('.zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners')\n        .remove();\n}\n\nfunction showDoubleClickNotifier(gd) {\n    if(SHOWZOOMOUTTIP && gd.data && gd._context.showTips) {\n        Lib.notifier(Lib._(gd, 'Double-click to zoom back out'), 'long');\n        SHOWZOOMOUTTIP = false;\n    }\n}\n\nfunction isSelectOrLasso(dragmode) {\n    return dragmode === 'lasso' || dragmode === 'select';\n}\n\nfunction xCorners(box, y0) {\n    return 'M' +\n        (box.l - 0.5) + ',' + (y0 - MINZOOM - 0.5) +\n        'h-3v' + (2 * MINZOOM + 1) + 'h3ZM' +\n        (box.r + 0.5) + ',' + (y0 - MINZOOM - 0.5) +\n        'h3v' + (2 * MINZOOM + 1) + 'h-3Z';\n}\n\nfunction yCorners(box, x0) {\n    return 'M' +\n        (x0 - MINZOOM - 0.5) + ',' + (box.t - 0.5) +\n        'v-3h' + (2 * MINZOOM + 1) + 'v3ZM' +\n        (x0 - MINZOOM - 0.5) + ',' + (box.b + 0.5) +\n        'v3h' + (2 * MINZOOM + 1) + 'v-3Z';\n}\n\nfunction xyCorners(box) {\n    var clen = Math.floor(Math.min(box.b - box.t, box.r - box.l, MINZOOM) / 2);\n    return 'M' +\n        (box.l - 3.5) + ',' + (box.t - 0.5 + clen) + 'h3v' + (-clen) +\n            'h' + clen + 'v-3h-' + (clen + 3) + 'ZM' +\n        (box.r + 3.5) + ',' + (box.t - 0.5 + clen) + 'h-3v' + (-clen) +\n            'h' + (-clen) + 'v-3h' + (clen + 3) + 'ZM' +\n        (box.r + 3.5) + ',' + (box.b + 0.5 - clen) + 'h-3v' + clen +\n            'h' + (-clen) + 'v3h' + (clen + 3) + 'ZM' +\n        (box.l - 3.5) + ',' + (box.b + 0.5 - clen) + 'h3v' + clen +\n            'h' + clen + 'v3h-' + (clen + 3) + 'Z';\n}\n\nfunction calcLinks(gd, xaHash, yaHash) {\n    var constraintGroups = gd._fullLayout._axisConstraintGroups;\n    var isSubplotConstrained = false;\n    var xLinks = {};\n    var yLinks = {};\n    var xID, yID, xLinkID, yLinkID;\n\n    for(var i = 0; i < constraintGroups.length; i++) {\n        var group = constraintGroups[i];\n        // check if any of the x axes we're dragging is in this constraint group\n        for(xID in xaHash) {\n            if(group[xID]) {\n                // put the rest of these axes into xLinks, if we're not already\n                // dragging them, so we know to scale these axes automatically too\n                // to match the changes in the dragged x axes\n                for(xLinkID in group) {\n                    if(!(xLinkID.charAt(0) === 'x' ? xaHash : yaHash)[xLinkID]) {\n                        xLinks[xLinkID] = 1;\n                    }\n                }\n\n                // check if the x and y axes of THIS drag are linked\n                for(yID in yaHash) {\n                    if(group[yID]) isSubplotConstrained = true;\n                }\n            }\n        }\n\n        // now check if any of the y axes we're dragging is in this constraint group\n        // only look for outside links, as we've already checked for links within the dragger\n        for(yID in yaHash) {\n            if(group[yID]) {\n                for(yLinkID in group) {\n                    if(!(yLinkID.charAt(0) === 'x' ? xaHash : yaHash)[yLinkID]) {\n                        yLinks[yLinkID] = 1;\n                    }\n                }\n            }\n        }\n    }\n\n    if(isSubplotConstrained) {\n        // merge xLinks and yLinks if the subplot is constrained,\n        // since we'll always apply both anyway and the two will contain\n        // duplicates\n        Lib.extendFlat(xLinks, yLinks);\n        yLinks = {};\n    }\n\n    var xaHashLinked = {};\n    var xaxesLinked = [];\n    for(xLinkID in xLinks) {\n        var xa = getFromId(gd, xLinkID);\n        xaxesLinked.push(xa);\n        xaHashLinked[xa._id] = xa;\n    }\n\n    var yaHashLinked = {};\n    var yaxesLinked = [];\n    for(yLinkID in yLinks) {\n        var ya = getFromId(gd, yLinkID);\n        yaxesLinked.push(ya);\n        yaHashLinked[ya._id] = ya;\n    }\n\n    return {\n        xaHash: xaHashLinked,\n        yaHash: yaHashLinked,\n        xaxes: xaxesLinked,\n        yaxes: yaxesLinked,\n        isSubplotConstrained: isSubplotConstrained\n    };\n}\n\n// still seems to be some confusion about onwheel vs onmousewheel...\nfunction attachWheelEventHandler(element, handler) {\n    if(!supportsPassive) {\n        if(element.onwheel !== undefined) element.onwheel = handler;\n        else if(element.onmousewheel !== undefined) element.onmousewheel = handler;\n    }\n    else {\n        var wheelEventName = element.onwheel !== undefined ? 'wheel' : 'mousewheel';\n\n        if(element._onwheel) {\n            element.removeEventListener(wheelEventName, element._onwheel);\n        }\n        element._onwheel = handler;\n\n        element.addEventListener(wheelEventName, handler, {passive: false});\n    }\n}\n\nfunction hashValues(hash) {\n    var out = [];\n    for(var k in hash) out.push(hash[k]);\n    return out;\n}\n\nmodule.exports = {\n    makeDragBox: makeDragBox,\n\n    makeDragger: makeDragger,\n    makeRectDragger: makeRectDragger,\n    makeZoombox: makeZoombox,\n    makeCorners: makeCorners,\n\n    updateZoombox: updateZoombox,\n    xyCorners: xyCorners,\n    transitionZoombox: transitionZoombox,\n    removeZoombox: removeZoombox,\n    showDoubleClickNotifier: showDoubleClickNotifier,\n\n    attachWheelEventHandler: attachWheelEventHandler\n};\n\n},{\"../../components/color\":570,\"../../components/dragelement\":592,\"../../components/drawing\":595,\"../../components/fx\":612,\"../../constants/alignment\":668,\"../../lib\":696,\"../../lib/clear_gl_canvases\":679,\"../../lib/setcursor\":717,\"../../lib/svg_text_utils\":721,\"../../plot_api/subroutines\":736,\"../../registry\":828,\"../plots\":809,\"./axes\":745,\"./axis_ids\":748,\"./constants\":751,\"./scale_zoom\":762,\"./select\":763,\"d3\":148,\"has-passive-events\":394,\"tinycolor2\":514}],755:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Fx = _dereq_('../../components/fx');\nvar dragElement = _dereq_('../../components/dragelement');\nvar setCursor = _dereq_('../../lib/setcursor');\n\nvar makeDragBox = _dereq_('./dragbox').makeDragBox;\nvar DRAGGERSIZE = _dereq_('./constants').DRAGGERSIZE;\n\nexports.initInteractions = function initInteractions(gd) {\n    var fullLayout = gd._fullLayout;\n\n    if(gd._context.staticPlot) {\n        // this sweeps up more than just cartesian drag elements...\n        d3.select(gd).selectAll('.drag').remove();\n        return;\n    }\n\n    if(!fullLayout._has('cartesian') && !fullLayout._has('splom')) return;\n\n    var subplots = Object.keys(fullLayout._plots || {}).sort(function(a, b) {\n        // sort overlays last, then by x axis number, then y axis number\n        if((fullLayout._plots[a].mainplot && true) ===\n            (fullLayout._plots[b].mainplot && true)) {\n            var aParts = a.split('y'),\n                bParts = b.split('y');\n            return (aParts[0] === bParts[0]) ?\n                (Number(aParts[1] || 1) - Number(bParts[1] || 1)) :\n                (Number(aParts[0] || 1) - Number(bParts[0] || 1));\n        }\n        return fullLayout._plots[a].mainplot ? 1 : -1;\n    });\n\n    subplots.forEach(function(subplot) {\n        var plotinfo = fullLayout._plots[subplot];\n        var xa = plotinfo.xaxis;\n        var ya = plotinfo.yaxis;\n\n        // main and corner draggers need not be repeated for\n        // overlaid subplots - these draggers drag them all\n        if(!plotinfo.mainplot) {\n            // main dragger goes over the grids and data, so we use its\n            // mousemove events for all data hover effects\n            var maindrag = makeDragBox(gd, plotinfo, xa._offset, ya._offset,\n                xa._length, ya._length, 'ns', 'ew');\n\n            maindrag.onmousemove = function(evt) {\n                // This is on `gd._fullLayout`, *not* fullLayout because the reference\n                // changes by the time this is called again.\n                gd._fullLayout._rehover = function() {\n                    if(gd._fullLayout._hoversubplot === subplot) {\n                        Fx.hover(gd, evt, subplot);\n                    }\n                };\n\n                Fx.hover(gd, evt, subplot);\n\n                // Note that we have *not* used the cached fullLayout variable here\n                // since that may be outdated when this is called as a callback later on\n                gd._fullLayout._lasthover = maindrag;\n                gd._fullLayout._hoversubplot = subplot;\n            };\n\n            /*\n             * IMPORTANT:\n             * We must check for the presence of the drag cover here.\n             * If we don't, a 'mouseout' event is triggered on the\n             * maindrag before each 'click' event, which has the effect\n             * of clearing the hoverdata; thus, cancelling the click event.\n             */\n            maindrag.onmouseout = function(evt) {\n                if(gd._dragging) return;\n\n                // When the mouse leaves this maindrag, unset the hovered subplot.\n                // This may cause problems if it leaves the subplot directly *onto*\n                // another subplot, but that's a tiny corner case at the moment.\n                gd._fullLayout._hoversubplot = null;\n\n                dragElement.unhover(gd, evt);\n            };\n\n            // corner draggers\n            if(gd._context.showAxisDragHandles) {\n                makeDragBox(gd, plotinfo, xa._offset - DRAGGERSIZE, ya._offset - DRAGGERSIZE,\n                    DRAGGERSIZE, DRAGGERSIZE, 'n', 'w');\n                makeDragBox(gd, plotinfo, xa._offset + xa._length, ya._offset - DRAGGERSIZE,\n                    DRAGGERSIZE, DRAGGERSIZE, 'n', 'e');\n                makeDragBox(gd, plotinfo, xa._offset - DRAGGERSIZE, ya._offset + ya._length,\n                    DRAGGERSIZE, DRAGGERSIZE, 's', 'w');\n                makeDragBox(gd, plotinfo, xa._offset + xa._length, ya._offset + ya._length,\n                    DRAGGERSIZE, DRAGGERSIZE, 's', 'e');\n            }\n        }\n        if(gd._context.showAxisDragHandles) {\n            // x axis draggers - if you have overlaid plots,\n            // these drag each axis separately\n            if(subplot === xa._mainSubplot) {\n                // the y position of the main x axis line\n                var y0 = xa._mainLinePosition;\n                if(xa.side === 'top') y0 -= DRAGGERSIZE;\n                makeDragBox(gd, plotinfo, xa._offset + xa._length * 0.1, y0,\n                    xa._length * 0.8, DRAGGERSIZE, '', 'ew');\n                makeDragBox(gd, plotinfo, xa._offset, y0,\n                    xa._length * 0.1, DRAGGERSIZE, '', 'w');\n                makeDragBox(gd, plotinfo, xa._offset + xa._length * 0.9, y0,\n                    xa._length * 0.1, DRAGGERSIZE, '', 'e');\n            }\n            // y axis draggers\n            if(subplot === ya._mainSubplot) {\n                // the x position of the main y axis line\n                var x0 = ya._mainLinePosition;\n                if(ya.side !== 'right') x0 -= DRAGGERSIZE;\n                makeDragBox(gd, plotinfo, x0, ya._offset + ya._length * 0.1,\n                    DRAGGERSIZE, ya._length * 0.8, 'ns', '');\n                makeDragBox(gd, plotinfo, x0, ya._offset + ya._length * 0.9,\n                    DRAGGERSIZE, ya._length * 0.1, 's', '');\n                makeDragBox(gd, plotinfo, x0, ya._offset,\n                    DRAGGERSIZE, ya._length * 0.1, 'n', '');\n            }\n        }\n    });\n\n    // In case you mousemove over some hovertext, send it to Fx.hover too\n    // we do this so that we can put the hover text in front of everything,\n    // but still be able to interact with everything as if it isn't there\n    var hoverLayer = fullLayout._hoverlayer.node();\n\n    hoverLayer.onmousemove = function(evt) {\n        evt.target = gd._fullLayout._lasthover;\n        Fx.hover(gd, evt, fullLayout._hoversubplot);\n    };\n\n    hoverLayer.onclick = function(evt) {\n        evt.target = gd._fullLayout._lasthover;\n        Fx.click(gd, evt);\n    };\n\n    // also delegate mousedowns... TODO: does this actually work?\n    hoverLayer.onmousedown = function(evt) {\n        gd._fullLayout._lasthover.onmousedown(evt);\n    };\n\n    exports.updateFx(gd);\n};\n\n// Minimal set of update needed on 'modebar' edits.\n// We only need to update the <g .draglayer> cursor style.\n//\n// Note that changing the axis configuration and/or the fixedrange attribute\n// should trigger a full initInteractions.\nexports.updateFx = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var cursor = fullLayout.dragmode === 'pan' ? 'move' : 'crosshair';\n    setCursor(fullLayout._draggers, cursor);\n};\n\n},{\"../../components/dragelement\":592,\"../../components/fx\":612,\"../../lib/setcursor\":717,\"./constants\":751,\"./dragbox\":754,\"d3\":148}],756:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\n\n/**\n * Factory function for checking component arrays for subplot references.\n *\n * @param {string} containerArrayName: the top-level array in gd.layout to check\n *   If an item in this container is found that references a cartesian x and/or y axis,\n *   ensure cartesian is marked as a base plot module and record the axes (and subplot\n *   if both refs are axes) in gd._fullLayout\n *\n * @return {function}: with args layoutIn (gd.layout) and layoutOut (gd._fullLayout)\n * as expected of a component includeBasePlot method\n */\nmodule.exports = function makeIncludeComponents(containerArrayName) {\n    return function includeComponents(layoutIn, layoutOut) {\n        var array = layoutIn[containerArrayName];\n        if(!Array.isArray(array)) return;\n\n        var Cartesian = Registry.subplotsRegistry.cartesian;\n        var idRegex = Cartesian.idRegex;\n        var subplots = layoutOut._subplots;\n        var xaList = subplots.xaxis;\n        var yaList = subplots.yaxis;\n        var cartesianList = subplots.cartesian;\n        var hasCartesianOrGL2D = layoutOut._has('cartesian') || layoutOut._has('gl2d');\n\n        for(var i = 0; i < array.length; i++) {\n            var itemi = array[i];\n            if(!Lib.isPlainObject(itemi)) continue;\n\n            var xref = itemi.xref;\n            var yref = itemi.yref;\n\n            var hasXref = idRegex.x.test(xref);\n            var hasYref = idRegex.y.test(yref);\n            if(hasXref || hasYref) {\n                if(!hasCartesianOrGL2D) Lib.pushUnique(layoutOut._basePlotModules, Cartesian);\n\n                var newAxis = false;\n                if(hasXref && xaList.indexOf(xref) === -1) {\n                    xaList.push(xref);\n                    newAxis = true;\n                }\n                if(hasYref && yaList.indexOf(yref) === -1) {\n                    yaList.push(yref);\n                    newAxis = true;\n                }\n\n                /*\n                 * Notice the logic here: only add a subplot for a component if\n                 * it's referencing both x and y axes AND it's creating a new axis\n                 * so for example if your plot already has xy and x2y2, an annotation\n                 * on x2y or xy2 will not create a new subplot.\n                 */\n                if(newAxis && hasXref && hasYref) {\n                    cartesianList.push(xref + yref);\n                }\n            }\n        }\n    };\n};\n\n},{\"../../lib\":696,\"../../registry\":828}],757:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Plots = _dereq_('../plots');\nvar Drawing = _dereq_('../../components/drawing');\n\nvar getModuleCalcData = _dereq_('../get_data').getModuleCalcData;\nvar axisIds = _dereq_('./axis_ids');\nvar constants = _dereq_('./constants');\nvar xmlnsNamespaces = _dereq_('../../constants/xmlns_namespaces');\n\nvar ensureSingle = Lib.ensureSingle;\n\nfunction ensureSingleAndAddDatum(parent, nodeType, className) {\n    return Lib.ensureSingle(parent, nodeType, className, function(s) {\n        s.datum(className);\n    });\n}\n\nexports.name = 'cartesian';\n\nexports.attr = ['xaxis', 'yaxis'];\n\nexports.idRoot = ['x', 'y'];\n\nexports.idRegex = constants.idRegex;\n\nexports.attrRegex = constants.attrRegex;\n\nexports.attributes = _dereq_('./attributes');\n\nexports.layoutAttributes = _dereq_('./layout_attributes');\n\nexports.supplyLayoutDefaults = _dereq_('./layout_defaults');\n\nexports.transitionAxes = _dereq_('./transition_axes');\n\nexports.finalizeSubplots = function(layoutIn, layoutOut) {\n    var subplots = layoutOut._subplots;\n    var xList = subplots.xaxis;\n    var yList = subplots.yaxis;\n    var spSVG = subplots.cartesian;\n    var spAll = spSVG.concat(subplots.gl2d || []);\n    var allX = {};\n    var allY = {};\n    var i, xi, yi;\n\n    for(i = 0; i < spAll.length; i++) {\n        var parts = spAll[i].split('y');\n        allX[parts[0]] = 1;\n        allY['y' + parts[1]] = 1;\n    }\n\n    // check for x axes with no subplot, and make one from the anchor of that x axis\n    for(i = 0; i < xList.length; i++) {\n        xi = xList[i];\n        if(!allX[xi]) {\n            yi = (layoutIn[axisIds.id2name(xi)] || {}).anchor;\n            if(!constants.idRegex.y.test(yi)) yi = 'y';\n            spSVG.push(xi + yi);\n            spAll.push(xi + yi);\n\n            if(!allY[yi]) {\n                allY[yi] = 1;\n                Lib.pushUnique(yList, yi);\n            }\n        }\n    }\n\n    // same for y axes with no subplot\n    for(i = 0; i < yList.length; i++) {\n        yi = yList[i];\n        if(!allY[yi]) {\n            xi = (layoutIn[axisIds.id2name(yi)] || {}).anchor;\n            if(!constants.idRegex.x.test(xi)) xi = 'x';\n            spSVG.push(xi + yi);\n            spAll.push(xi + yi);\n\n            if(!allX[xi]) {\n                allX[xi] = 1;\n                Lib.pushUnique(xList, xi);\n            }\n        }\n    }\n\n    // finally, if we've gotten here we're supposed to show cartesian...\n    // so if there are NO subplots at all, make one from the first\n    // x & y axes in the input layout\n    if(!spAll.length) {\n        xi = '';\n        yi = '';\n        for(var ki in layoutIn) {\n            if(constants.attrRegex.test(ki)) {\n                var axLetter = ki.charAt(0);\n                if(axLetter === 'x') {\n                    if(!xi || (+ki.substr(5) < +xi.substr(5))) {\n                        xi = ki;\n                    }\n                }\n                else if(!yi || (+ki.substr(5) < +yi.substr(5))) {\n                    yi = ki;\n                }\n            }\n        }\n        xi = xi ? axisIds.name2id(xi) : 'x';\n        yi = yi ? axisIds.name2id(yi) : 'y';\n        xList.push(xi);\n        yList.push(yi);\n        spSVG.push(xi + yi);\n    }\n};\n\n/**\n * Cartesian.plot\n *\n * @param {DOM div | object} gd\n * @param {array | null} (optional) traces\n *  array of traces indices to plot\n *  if undefined, plots all cartesian traces,\n *  if null, plots no traces\n * @param {object} (optional) transitionOpts\n *  transition option object\n * @param {function} (optional) makeOnCompleteCallback\n *  transition make callback function from Plots.transition\n */\nexports.plot = function(gd, traces, transitionOpts, makeOnCompleteCallback) {\n    var fullLayout = gd._fullLayout;\n    var subplots = fullLayout._subplots.cartesian;\n    var calcdata = gd.calcdata;\n    var i;\n\n    if(traces === null) {\n        // this means no updates required, must return here\n        // so that plotOne doesn't remove the trace layers\n        return;\n    } else if(!Array.isArray(traces)) {\n        // If traces is not provided, then it's a complete replot and missing\n        // traces are removed\n        traces = [];\n        for(i = 0; i < calcdata.length; i++) traces.push(i);\n    }\n\n    for(i = 0; i < subplots.length; i++) {\n        var subplot = subplots[i];\n        var subplotInfo = fullLayout._plots[subplot];\n\n        // Get all calcdata for this subplot:\n        var cdSubplot = [];\n        var pcd;\n\n        for(var j = 0; j < calcdata.length; j++) {\n            var cd = calcdata[j];\n            var trace = cd[0].trace;\n\n            // Skip trace if whitelist provided and it's not whitelisted:\n            // if (Array.isArray(traces) && traces.indexOf(i) === -1) continue;\n            if(trace.xaxis + trace.yaxis === subplot) {\n                // XXX: Should trace carpet dependencies. Only replot all carpet plots if the carpet\n                // axis has actually changed:\n                //\n                // If this trace is specifically requested, add it to the list:\n                if(traces.indexOf(trace.index) !== -1 || trace.carpet) {\n                    // Okay, so example: traces 0, 1, and 2 have fill = tonext. You animate\n                    // traces 0 and 2. Trace 1 also needs to be updated, otherwise its fill\n                    // is outdated. So this retroactively adds the previous trace if the\n                    // traces are interdependent.\n                    if(\n                        pcd &&\n                        pcd[0].trace.xaxis + pcd[0].trace.yaxis === subplot &&\n                        ['tonextx', 'tonexty', 'tonext'].indexOf(trace.fill) !== -1 &&\n                        cdSubplot.indexOf(pcd) === -1\n                    ) {\n                        cdSubplot.push(pcd);\n                    }\n\n                    cdSubplot.push(cd);\n                }\n\n                // Track the previous trace on this subplot for the retroactive-add step\n                // above:\n                pcd = cd;\n            }\n        }\n\n        plotOne(gd, subplotInfo, cdSubplot, transitionOpts, makeOnCompleteCallback);\n    }\n};\n\nfunction plotOne(gd, plotinfo, cdSubplot, transitionOpts, makeOnCompleteCallback) {\n    var traceLayerClasses = constants.traceLayerClasses;\n    var fullLayout = gd._fullLayout;\n    var modules = fullLayout._modules;\n    var _module, cdModuleAndOthers, cdModule;\n\n    var layerData = [];\n    var zoomScaleQueryParts = [];\n\n    for(var i = 0; i < modules.length; i++) {\n        _module = modules[i];\n        var name = _module.name;\n        var categories = Registry.modules[name].categories;\n\n        if(categories.svg) {\n            var className = (_module.layerName || name + 'layer');\n            var plotMethod = _module.plot;\n\n            // plot all visible traces of this type on this subplot at once\n            cdModuleAndOthers = getModuleCalcData(cdSubplot, plotMethod);\n            cdModule = cdModuleAndOthers[0];\n            // don't need to search the found traces again - in fact we need to NOT\n            // so that if two modules share the same plotter we don't double-plot\n            cdSubplot = cdModuleAndOthers[1];\n\n            if(cdModule.length) {\n                layerData.push({\n                    i: traceLayerClasses.indexOf(className),\n                    className: className,\n                    plotMethod: plotMethod,\n                    cdModule: cdModule\n                });\n            }\n\n            if(categories.zoomScale) {\n                zoomScaleQueryParts.push('.' + className);\n            }\n        }\n    }\n\n    layerData.sort(function(a, b) { return a.i - b.i; });\n\n    var layers = plotinfo.plot.selectAll('g.mlayer')\n        .data(layerData, function(d) { return d.className; });\n\n    layers.enter().append('g')\n        .attr('class', function(d) { return d.className; })\n        .classed('mlayer', true);\n\n    layers.exit().remove();\n\n    layers.order();\n\n    layers.each(function(d) {\n        var sel = d3.select(this);\n        var className = d.className;\n\n        d.plotMethod(\n            gd, plotinfo, d.cdModule, sel,\n            transitionOpts, makeOnCompleteCallback\n        );\n\n        // layers that allow `cliponaxis: false`\n        if(className !== 'scatterlayer' && className !== 'barlayer') {\n            Drawing.setClipUrl(sel, plotinfo.layerClipId);\n        }\n    });\n\n    // call Scattergl.plot separately\n    if(fullLayout._has('scattergl')) {\n        _module = Registry.getModule('scattergl');\n        cdModule = getModuleCalcData(cdSubplot, _module)[0];\n        _module.plot(gd, plotinfo, cdModule);\n    }\n\n    // stash \"hot\" selections for faster interaction on drag and scroll\n    if(!gd._context.staticPlot) {\n        if(plotinfo._hasClipOnAxisFalse) {\n            plotinfo.clipOnAxisFalseTraces = plotinfo.plot\n                .selectAll('.scatterlayer, .barlayer')\n                .selectAll('.trace');\n        }\n\n        if(zoomScaleQueryParts.length) {\n            var traces = plotinfo.plot\n                .selectAll(zoomScaleQueryParts.join(','))\n                .selectAll('.trace');\n\n            plotinfo.zoomScalePts = traces.selectAll('path.point');\n            plotinfo.zoomScaleTxt = traces.selectAll('.textpoint');\n        }\n    }\n}\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var oldPlots = oldFullLayout._plots || {};\n    var newPlots = newFullLayout._plots || {};\n    var oldSubplotList = oldFullLayout._subplots || {};\n    var plotinfo;\n    var i, k;\n\n    // when going from a large splom graph to something else,\n    // we need to clear <g subplot> so that the new cartesian subplot\n    // can have the correct layer ordering\n    if(oldFullLayout._hasOnlyLargeSploms && !newFullLayout._hasOnlyLargeSploms) {\n        for(k in oldPlots) {\n            plotinfo = oldPlots[k];\n            if(plotinfo.plotgroup) plotinfo.plotgroup.remove();\n        }\n    }\n\n    var hadGl = (oldFullLayout._has && oldFullLayout._has('gl'));\n    var hasGl = (newFullLayout._has && newFullLayout._has('gl'));\n\n    if(hadGl && !hasGl) {\n        for(k in oldPlots) {\n            plotinfo = oldPlots[k];\n            if(plotinfo._scene) plotinfo._scene.destroy();\n        }\n    }\n\n    // delete any titles we don't need anymore\n    // check if axis list has changed, and if so clear old titles\n    if(oldSubplotList.xaxis && oldSubplotList.yaxis) {\n        var oldAxIDs = axisIds.listIds({_fullLayout: oldFullLayout});\n        for(i = 0; i < oldAxIDs.length; i++) {\n            var oldAxId = oldAxIDs[i];\n            if(!newFullLayout[axisIds.id2name(oldAxId)]) {\n                oldFullLayout._infolayer.selectAll('.g-' + oldAxId + 'title').remove();\n            }\n        }\n    }\n\n    // if we've gotten rid of all cartesian traces, remove all the subplot svg items\n    var hadCartesian = (oldFullLayout._has && oldFullLayout._has('cartesian'));\n    var hasCartesian = (newFullLayout._has && newFullLayout._has('cartesian'));\n\n    if(hadCartesian && !hasCartesian) {\n        purgeSubplotLayers(oldFullLayout._cartesianlayer.selectAll('.subplot'), oldFullLayout);\n        oldFullLayout._defs.selectAll('.axesclip').remove();\n        delete oldFullLayout._axisConstraintGroups;\n    }\n    // otherwise look for subplots we need to remove\n    else if(oldSubplotList.cartesian) {\n        for(i = 0; i < oldSubplotList.cartesian.length; i++) {\n            var oldSubplotId = oldSubplotList.cartesian[i];\n            if(!newPlots[oldSubplotId]) {\n                var selector = '.' + oldSubplotId + ',.' + oldSubplotId + '-x,.' + oldSubplotId + '-y';\n                oldFullLayout._cartesianlayer.selectAll(selector).remove();\n                removeSubplotExtras(oldSubplotId, oldFullLayout);\n            }\n        }\n    }\n};\n\nexports.drawFramework = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var subplotData = makeSubplotData(gd);\n\n    var subplotLayers = fullLayout._cartesianlayer.selectAll('.subplot')\n        .data(subplotData, String);\n\n    subplotLayers.enter().append('g')\n        .attr('class', function(d) { return 'subplot ' + d[0]; });\n\n    subplotLayers.order();\n\n    subplotLayers.exit()\n        .call(purgeSubplotLayers, fullLayout);\n\n    subplotLayers.each(function(d) {\n        var id = d[0];\n        var plotinfo = fullLayout._plots[id];\n\n        plotinfo.plotgroup = d3.select(this);\n        makeSubplotLayer(gd, plotinfo);\n\n        // make separate drag layers for each subplot,\n        // but append them to paper rather than the plot groups,\n        // so they end up on top of the rest\n        plotinfo.draglayer = ensureSingle(fullLayout._draggers, 'g', id);\n    });\n};\n\nexports.rangePlot = function(gd, plotinfo, cdSubplot) {\n    makeSubplotLayer(gd, plotinfo);\n    plotOne(gd, plotinfo, cdSubplot);\n    Plots.style(gd);\n};\n\nfunction makeSubplotData(gd) {\n    var fullLayout = gd._fullLayout;\n    var ids = fullLayout._subplots.cartesian;\n    var len = ids.length;\n    var i, j, id, plotinfo, xa, ya;\n\n    // split 'regular' and 'overlaying' subplots\n    var regulars = [];\n    var overlays = [];\n\n    for(i = 0; i < len; i++) {\n        id = ids[i];\n        plotinfo = fullLayout._plots[id];\n        xa = plotinfo.xaxis;\n        ya = plotinfo.yaxis;\n\n        var xa2 = xa._mainAxis;\n        var ya2 = ya._mainAxis;\n        var mainplot = xa2._id + ya2._id;\n        var mainplotinfo = fullLayout._plots[mainplot];\n        plotinfo.overlays = [];\n\n        if(mainplot !== id && mainplotinfo) {\n            plotinfo.mainplot = mainplot;\n            plotinfo.mainplotinfo = mainplotinfo;\n            overlays.push(id);\n        } else {\n            plotinfo.mainplot = undefined;\n            plotinfo.mainPlotinfo = undefined;\n            regulars.push(id);\n        }\n    }\n\n    // fill in list of overlaying subplots in 'main plot'\n    for(i = 0; i < overlays.length; i++) {\n        id = overlays[i];\n        plotinfo = fullLayout._plots[id];\n        plotinfo.mainplotinfo.overlays.push(plotinfo);\n    }\n\n    // put 'regular' subplot data before 'overlaying'\n    var subplotIds = regulars.concat(overlays);\n    var subplotData = new Array(len);\n\n    for(i = 0; i < len; i++) {\n        id = subplotIds[i];\n        plotinfo = fullLayout._plots[id];\n        xa = plotinfo.xaxis;\n        ya = plotinfo.yaxis;\n\n        // use info about axis layer and overlaying pattern\n        // to clean what need to be cleaned up in exit selection\n        var d = [id, xa.layer, ya.layer, xa.overlaying || '', ya.overlaying || ''];\n        for(j = 0; j < plotinfo.overlays.length; j++) {\n            d.push(plotinfo.overlays[j].id);\n        }\n        subplotData[i] = d;\n    }\n\n    return subplotData;\n}\n\nfunction makeSubplotLayer(gd, plotinfo) {\n    var plotgroup = plotinfo.plotgroup;\n    var id = plotinfo.id;\n    var xLayer = constants.layerValue2layerClass[plotinfo.xaxis.layer];\n    var yLayer = constants.layerValue2layerClass[plotinfo.yaxis.layer];\n    var hasOnlyLargeSploms = gd._fullLayout._hasOnlyLargeSploms;\n\n    if(!plotinfo.mainplot) {\n        if(hasOnlyLargeSploms) {\n            // TODO could do even better\n            // - we don't need plot (but we would have to mock it in lsInner\n            //   and other places\n            // - we don't (x|y)lines and (x|y)axislayer for most subplots\n            //   usually just the bottom x and left y axes.\n            plotinfo.xlines = ensureSingle(plotgroup, 'path', 'xlines-above');\n            plotinfo.ylines = ensureSingle(plotgroup, 'path', 'ylines-above');\n            plotinfo.xaxislayer = ensureSingle(plotgroup, 'g', 'xaxislayer-above');\n            plotinfo.yaxislayer = ensureSingle(plotgroup, 'g', 'yaxislayer-above');\n        }\n        else {\n            var backLayer = ensureSingle(plotgroup, 'g', 'layer-subplot');\n            plotinfo.shapelayer = ensureSingle(backLayer, 'g', 'shapelayer');\n            plotinfo.imagelayer = ensureSingle(backLayer, 'g', 'imagelayer');\n\n            plotinfo.gridlayer = ensureSingle(plotgroup, 'g', 'gridlayer');\n            plotinfo.zerolinelayer = ensureSingle(plotgroup, 'g', 'zerolinelayer');\n\n            ensureSingle(plotgroup, 'path', 'xlines-below');\n            ensureSingle(plotgroup, 'path', 'ylines-below');\n            plotinfo.overlinesBelow = ensureSingle(plotgroup, 'g', 'overlines-below');\n\n            ensureSingle(plotgroup, 'g', 'xaxislayer-below');\n            ensureSingle(plotgroup, 'g', 'yaxislayer-below');\n            plotinfo.overaxesBelow = ensureSingle(plotgroup, 'g', 'overaxes-below');\n\n            plotinfo.plot = ensureSingle(plotgroup, 'g', 'plot');\n            plotinfo.overplot = ensureSingle(plotgroup, 'g', 'overplot');\n\n            plotinfo.xlines = ensureSingle(plotgroup, 'path', 'xlines-above');\n            plotinfo.ylines = ensureSingle(plotgroup, 'path', 'ylines-above');\n            plotinfo.overlinesAbove = ensureSingle(plotgroup, 'g', 'overlines-above');\n\n            ensureSingle(plotgroup, 'g', 'xaxislayer-above');\n            ensureSingle(plotgroup, 'g', 'yaxislayer-above');\n            plotinfo.overaxesAbove = ensureSingle(plotgroup, 'g', 'overaxes-above');\n\n            // set refs to correct layers as determined by 'axis.layer'\n            plotinfo.xlines = plotgroup.select('.xlines-' + xLayer);\n            plotinfo.ylines = plotgroup.select('.ylines-' + yLayer);\n            plotinfo.xaxislayer = plotgroup.select('.xaxislayer-' + xLayer);\n            plotinfo.yaxislayer = plotgroup.select('.yaxislayer-' + yLayer);\n        }\n    }\n    else {\n        var mainplotinfo = plotinfo.mainplotinfo;\n        var mainplotgroup = mainplotinfo.plotgroup;\n        var xId = id + '-x';\n        var yId = id + '-y';\n\n        // now make the components of overlaid subplots\n        // overlays don't have backgrounds, and append all\n        // their other components to the corresponding\n        // extra groups of their main plots.\n\n        plotinfo.gridlayer = mainplotinfo.gridlayer;\n        plotinfo.zerolinelayer = mainplotinfo.zerolinelayer;\n\n        ensureSingle(mainplotinfo.overlinesBelow, 'path', xId);\n        ensureSingle(mainplotinfo.overlinesBelow, 'path', yId);\n        ensureSingle(mainplotinfo.overaxesBelow, 'g', xId);\n        ensureSingle(mainplotinfo.overaxesBelow, 'g', yId);\n\n        plotinfo.plot = ensureSingle(mainplotinfo.overplot, 'g', id);\n\n        ensureSingle(mainplotinfo.overlinesAbove, 'path', xId);\n        ensureSingle(mainplotinfo.overlinesAbove, 'path', yId);\n        ensureSingle(mainplotinfo.overaxesAbove, 'g', xId);\n        ensureSingle(mainplotinfo.overaxesAbove, 'g', yId);\n\n        // set refs to correct layers as determined by 'abovetraces'\n        plotinfo.xlines = mainplotgroup.select('.overlines-' + xLayer).select('.' + xId);\n        plotinfo.ylines = mainplotgroup.select('.overlines-' + yLayer).select('.' + yId);\n        plotinfo.xaxislayer = mainplotgroup.select('.overaxes-' + xLayer).select('.' + xId);\n        plotinfo.yaxislayer = mainplotgroup.select('.overaxes-' + yLayer).select('.' + yId);\n    }\n\n    // common attributes for all subplots, overlays or not\n\n    if(!hasOnlyLargeSploms) {\n        ensureSingleAndAddDatum(plotinfo.gridlayer, 'g', plotinfo.xaxis._id);\n        ensureSingleAndAddDatum(plotinfo.gridlayer, 'g', plotinfo.yaxis._id);\n        plotinfo.gridlayer.selectAll('g')\n            .map(function(d) { return d[0]; })\n            .sort(axisIds.idSort);\n    }\n\n    plotinfo.xlines\n        .style('fill', 'none')\n        .classed('crisp', true);\n\n    plotinfo.ylines\n        .style('fill', 'none')\n        .classed('crisp', true);\n}\n\nfunction purgeSubplotLayers(layers, fullLayout) {\n    if(!layers) return;\n\n    var overlayIdsToRemove = {};\n\n    layers.each(function(d) {\n        var id = d[0];\n        var plotgroup = d3.select(this);\n\n        plotgroup.remove();\n        removeSubplotExtras(id, fullLayout);\n        overlayIdsToRemove[id] = true;\n\n        // do not remove individual axis <clipPath>s here\n        // as other subplots may need them\n    });\n\n    // must remove overlaid subplot trace layers 'manually'\n\n    for(var k in fullLayout._plots) {\n        var subplotInfo = fullLayout._plots[k];\n        var overlays = subplotInfo.overlays || [];\n\n        for(var j = 0; j < overlays.length; j++) {\n            var overlayInfo = overlays[j];\n\n            if(overlayIdsToRemove[overlayInfo.id]) {\n                overlayInfo.plot.selectAll('.trace').remove();\n            }\n        }\n    }\n}\n\nfunction removeSubplotExtras(subplotId, fullLayout) {\n    fullLayout._draggers.selectAll('g.' + subplotId).remove();\n    fullLayout._defs.select('#clip' + fullLayout._uid + subplotId + 'plot').remove();\n}\n\nexports.toSVG = function(gd) {\n    var imageRoot = gd._fullLayout._glimages;\n    var root = d3.select(gd).selectAll('.svg-container');\n    var canvases = root.filter(function(d, i) {return i === root.size() - 1;})\n        .selectAll('.gl-canvas-context, .gl-canvas-focus');\n\n    function canvasToImage() {\n        var canvas = this;\n        var imageData = canvas.toDataURL('image/png');\n        var image = imageRoot.append('svg:image');\n\n        image.attr({\n            xmlns: xmlnsNamespaces.svg,\n            'xlink:href': imageData,\n            preserveAspectRatio: 'none',\n            x: 0,\n            y: 0,\n            width: canvas.width,\n            height: canvas.height\n        });\n    }\n\n    canvases.each(canvasToImage);\n};\n\nexports.updateFx = _dereq_('./graph_interact').updateFx;\n\n},{\"../../components/drawing\":595,\"../../constants/xmlns_namespaces\":674,\"../../lib\":696,\"../../registry\":828,\"../get_data\":782,\"../plots\":809,\"./attributes\":743,\"./axis_ids\":748,\"./constants\":751,\"./graph_interact\":755,\"./layout_attributes\":758,\"./layout_defaults\":759,\"./transition_axes\":768,\"d3\":148}],758:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fontAttrs = _dereq_('../font_attributes');\nvar colorAttrs = _dereq_('../../components/color/attributes');\nvar dash = _dereq_('../../components/drawing/attributes').dash;\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\n\nvar constants = _dereq_('./constants');\n\n\nmodule.exports = {\n    visible: {\n        valType: 'boolean',\n        \n        editType: 'plot',\n        \n    },\n    color: {\n        valType: 'color',\n        dflt: colorAttrs.defaultLine,\n        \n        editType: 'ticks',\n        \n    },\n    title: {\n        valType: 'string',\n        \n        editType: 'ticks',\n        \n    },\n    titlefont: fontAttrs({\n        editType: 'ticks',\n        \n    }),\n    type: {\n        valType: 'enumerated',\n        // '-' means we haven't yet run autotype or couldn't find any data\n        // it gets turned into linear in gd._fullLayout but not copied back\n        // to gd.data like the others are.\n        values: ['-', 'linear', 'log', 'date', 'category'],\n        dflt: '-',\n        \n        editType: 'calc',\n        // we forget when an axis has been autotyped, just writing the auto\n        // value back to the input - so it doesn't make sense to template this.\n        // Note: we do NOT prohibit this in `coerce`, so if someone enters a\n        // type in the template explicitly it will be honored as the default.\n        _noTemplating: true,\n        \n    },\n    autorange: {\n        valType: 'enumerated',\n        values: [true, false, 'reversed'],\n        dflt: true,\n        \n        editType: 'axrange',\n        impliedEdits: {'range[0]': undefined, 'range[1]': undefined},\n        \n    },\n    rangemode: {\n        valType: 'enumerated',\n        values: ['normal', 'tozero', 'nonnegative'],\n        dflt: 'normal',\n        \n        editType: 'plot',\n        \n    },\n    range: {\n        valType: 'info_array',\n        \n        items: [\n            {valType: 'any', editType: 'axrange', impliedEdits: {'^autorange': false}},\n            {valType: 'any', editType: 'axrange', impliedEdits: {'^autorange': false}}\n        ],\n        editType: 'axrange',\n        impliedEdits: {'autorange': false},\n        \n    },\n    fixedrange: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'calc',\n        \n    },\n    // scaleanchor: not used directly, just put here for reference\n    // values are any opposite-letter axis id\n    scaleanchor: {\n        valType: 'enumerated',\n        values: [\n            constants.idRegex.x.toString(),\n            constants.idRegex.y.toString()\n        ],\n        \n        editType: 'plot',\n        \n    },\n    scaleratio: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'plot',\n        \n    },\n    constrain: {\n        valType: 'enumerated',\n        values: ['range', 'domain'],\n        dflt: 'range',\n        \n        editType: 'plot',\n        \n    },\n    // constraintoward: not used directly, just put here for reference\n    constraintoward: {\n        valType: 'enumerated',\n        values: ['left', 'center', 'right', 'top', 'middle', 'bottom'],\n        \n        editType: 'plot',\n        \n    },\n    // ticks\n    tickmode: {\n        valType: 'enumerated',\n        values: ['auto', 'linear', 'array'],\n        \n        editType: 'ticks',\n        impliedEdits: {tick0: undefined, dtick: undefined},\n        \n    },\n    nticks: {\n        valType: 'integer',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'ticks',\n        \n    },\n    tick0: {\n        valType: 'any',\n        \n        editType: 'ticks',\n        impliedEdits: {tickmode: 'linear'},\n        \n    },\n    dtick: {\n        valType: 'any',\n        \n        editType: 'ticks',\n        impliedEdits: {tickmode: 'linear'},\n        \n    },\n    tickvals: {\n        valType: 'data_array',\n        editType: 'ticks',\n        \n    },\n    ticktext: {\n        valType: 'data_array',\n        editType: 'ticks',\n        \n    },\n    ticks: {\n        valType: 'enumerated',\n        values: ['outside', 'inside', ''],\n        \n        editType: 'ticks',\n        \n    },\n    mirror: {\n        valType: 'enumerated',\n        values: [true, 'ticks', false, 'all', 'allticks'],\n        dflt: false,\n        \n        editType: 'ticks+layoutstyle',\n        \n    },\n    ticklen: {\n        valType: 'number',\n        min: 0,\n        dflt: 5,\n        \n        editType: 'ticks',\n        \n    },\n    tickwidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'ticks',\n        \n    },\n    tickcolor: {\n        valType: 'color',\n        dflt: colorAttrs.defaultLine,\n        \n        editType: 'ticks',\n        \n    },\n    showticklabels: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'ticks',\n        \n    },\n    automargin: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'ticks',\n        \n    },\n    showspikes: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'modebar',\n        \n    },\n    spikecolor: {\n        valType: 'color',\n        dflt: null,\n        \n        editType: 'none',\n        \n    },\n    spikethickness: {\n        valType: 'number',\n        dflt: 3,\n        \n        editType: 'none',\n        \n    },\n    spikedash: extendFlat({}, dash, {dflt: 'dash', editType: 'none'}),\n    spikemode: {\n        valType: 'flaglist',\n        flags: ['toaxis', 'across', 'marker'],\n        \n        dflt: 'toaxis',\n        editType: 'none',\n        \n    },\n    spikesnap: {\n        valType: 'enumerated',\n        values: ['data', 'cursor'],\n        dflt: 'data',\n        \n        editType: 'none',\n        \n    },\n    tickfont: fontAttrs({\n        editType: 'ticks',\n        \n    }),\n    tickangle: {\n        valType: 'angle',\n        dflt: 'auto',\n        \n        editType: 'ticks',\n        \n    },\n    tickprefix: {\n        valType: 'string',\n        dflt: '',\n        \n        editType: 'ticks',\n        \n    },\n    showtickprefix: {\n        valType: 'enumerated',\n        values: ['all', 'first', 'last', 'none'],\n        dflt: 'all',\n        \n        editType: 'ticks',\n        \n    },\n    ticksuffix: {\n        valType: 'string',\n        dflt: '',\n        \n        editType: 'ticks',\n        \n    },\n    showticksuffix: {\n        valType: 'enumerated',\n        values: ['all', 'first', 'last', 'none'],\n        dflt: 'all',\n        \n        editType: 'ticks',\n        \n    },\n    showexponent: {\n        valType: 'enumerated',\n        values: ['all', 'first', 'last', 'none'],\n        dflt: 'all',\n        \n        editType: 'ticks',\n        \n    },\n    exponentformat: {\n        valType: 'enumerated',\n        values: ['none', 'e', 'E', 'power', 'SI', 'B'],\n        dflt: 'B',\n        \n        editType: 'ticks',\n        \n    },\n    separatethousands: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'ticks',\n        \n    },\n    tickformat: {\n        valType: 'string',\n        dflt: '',\n        \n        editType: 'ticks',\n        \n    },\n    tickformatstops: templatedArray('tickformatstop', {\n        enabled: {\n            valType: 'boolean',\n            \n            dflt: true,\n            editType: 'ticks',\n            \n        },\n        dtickrange: {\n            valType: 'info_array',\n            \n            items: [\n                {valType: 'any', editType: 'ticks'},\n                {valType: 'any', editType: 'ticks'}\n            ],\n            editType: 'ticks',\n            \n        },\n        value: {\n            valType: 'string',\n            dflt: '',\n            \n            editType: 'ticks',\n            \n        },\n        editType: 'ticks'\n    }),\n    hoverformat: {\n        valType: 'string',\n        dflt: '',\n        \n        editType: 'none',\n        \n    },\n    // lines and grids\n    showline: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'ticks+layoutstyle',\n        \n    },\n    linecolor: {\n        valType: 'color',\n        dflt: colorAttrs.defaultLine,\n        \n        editType: 'layoutstyle',\n        \n    },\n    linewidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'ticks+layoutstyle',\n        \n    },\n    showgrid: {\n        valType: 'boolean',\n        \n        editType: 'ticks',\n        \n    },\n    gridcolor: {\n        valType: 'color',\n        dflt: colorAttrs.lightLine,\n        \n        editType: 'ticks',\n        \n    },\n    gridwidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'ticks',\n        \n    },\n    zeroline: {\n        valType: 'boolean',\n        \n        editType: 'ticks',\n        \n    },\n    zerolinecolor: {\n        valType: 'color',\n        dflt: colorAttrs.defaultLine,\n        \n        editType: 'ticks',\n        \n    },\n    zerolinewidth: {\n        valType: 'number',\n        dflt: 1,\n        \n        editType: 'ticks',\n        \n    },\n    // positioning attributes\n    // anchor: not used directly, just put here for reference\n    // values are any opposite-letter axis id\n    anchor: {\n        valType: 'enumerated',\n        values: [\n            'free',\n            constants.idRegex.x.toString(),\n            constants.idRegex.y.toString()\n        ],\n        \n        editType: 'plot',\n        \n    },\n    // side: not used directly, as values depend on direction\n    // values are top, bottom for x axes, and left, right for y\n    side: {\n        valType: 'enumerated',\n        values: ['top', 'bottom', 'left', 'right'],\n        \n        editType: 'plot',\n        \n    },\n    // overlaying: not used directly, just put here for reference\n    // values are false and any other same-letter axis id that's not\n    // itself overlaying anything\n    overlaying: {\n        valType: 'enumerated',\n        values: [\n            'free',\n            constants.idRegex.x.toString(),\n            constants.idRegex.y.toString()\n        ],\n        \n        editType: 'plot',\n        \n    },\n    layer: {\n        valType: 'enumerated',\n        values: ['above traces', 'below traces'],\n        dflt: 'above traces',\n        \n        editType: 'plot',\n        \n    },\n    domain: {\n        valType: 'info_array',\n        \n        items: [\n            {valType: 'number', min: 0, max: 1, editType: 'plot'},\n            {valType: 'number', min: 0, max: 1, editType: 'plot'}\n        ],\n        dflt: [0, 1],\n        editType: 'plot',\n        \n    },\n    position: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        dflt: 0,\n        \n        editType: 'plot',\n        \n    },\n    categoryorder: {\n        valType: 'enumerated',\n        values: [\n            'trace', 'category ascending', 'category descending', 'array'\n            /* , 'value ascending', 'value descending'*/ // value ascending / descending to be implemented later\n        ],\n        dflt: 'trace',\n        \n        editType: 'calc',\n        \n    },\n    categoryarray: {\n        valType: 'data_array',\n        \n        editType: 'calc',\n        \n    },\n    editType: 'calc',\n\n    _deprecated: {\n        autotick: {\n            valType: 'boolean',\n            \n            editType: 'ticks',\n            \n        }\n    }\n};\n\n},{\"../../components/color/attributes\":569,\"../../components/drawing/attributes\":594,\"../../lib/extend\":685,\"../../plot_api/plot_template\":735,\"../font_attributes\":772,\"./constants\":751}],759:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Color = _dereq_('../../components/color');\nvar Template = _dereq_('../../plot_api/plot_template');\nvar basePlotLayoutAttributes = _dereq_('../layout_attributes');\n\nvar layoutAttributes = _dereq_('./layout_attributes');\nvar handleTypeDefaults = _dereq_('./type_defaults');\nvar handleAxisDefaults = _dereq_('./axis_defaults');\nvar handleConstraintDefaults = _dereq_('./constraint_defaults');\nvar handlePositionDefaults = _dereq_('./position_defaults');\n\nvar axisIds = _dereq_('./axis_ids');\nvar id2name = axisIds.id2name;\nvar name2id = axisIds.name2id;\n\nvar Registry = _dereq_('../../registry');\nvar traceIs = Registry.traceIs;\nvar getComponentMethod = Registry.getComponentMethod;\n\nfunction appendList(cont, k, item) {\n    if(Array.isArray(cont[k])) cont[k].push(item);\n    else cont[k] = [item];\n}\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut, fullData) {\n    var ax2traces = {};\n    var xaCheater = {};\n    var xaNonCheater = {};\n    var outerTicks = {};\n    var noGrids = {};\n    var i, j;\n\n    // look for axes in the data\n    for(i = 0; i < fullData.length; i++) {\n        var trace = fullData[i];\n        if(!traceIs(trace, 'cartesian') && !traceIs(trace, 'gl2d')) continue;\n\n        var xaName;\n        if(trace.xaxis) {\n            xaName = id2name(trace.xaxis);\n            appendList(ax2traces, xaName, trace);\n        } else if(trace.xaxes) {\n            for(j = 0; j < trace.xaxes.length; j++) {\n                appendList(ax2traces, id2name(trace.xaxes[j]), trace);\n            }\n        }\n\n        var yaName;\n        if(trace.yaxis) {\n            yaName = id2name(trace.yaxis);\n            appendList(ax2traces, yaName, trace);\n        } else if(trace.yaxes) {\n            for(j = 0; j < trace.yaxes.length; j++) {\n                appendList(ax2traces, id2name(trace.yaxes[j]), trace);\n            }\n        }\n\n        // Two things trigger axis visibility:\n        // 1. is not carpet\n        // 2. carpet that's not cheater\n        if(!traceIs(trace, 'carpet') || (trace.type === 'carpet' && !trace._cheater)) {\n            if(xaName) xaNonCheater[xaName] = 1;\n        }\n\n        // The above check for definitely-not-cheater is not adequate. This\n        // second list tracks which axes *could* be a cheater so that the\n        // full condition triggering hiding is:\n        //   *could* be a cheater and *is not definitely visible*\n        if(trace.type === 'carpet' && trace._cheater) {\n            if(xaName) xaCheater[xaName] = 1;\n        }\n\n        // check for default formatting tweaks\n        if(traceIs(trace, '2dMap')) {\n            outerTicks[xaName] = 1;\n            outerTicks[yaName] = 1;\n        }\n\n        if(traceIs(trace, 'oriented')) {\n            var positionAxis = trace.orientation === 'h' ? yaName : xaName;\n            noGrids[positionAxis] = 1;\n        }\n    }\n\n    var subplots = layoutOut._subplots;\n    var xIds = subplots.xaxis;\n    var yIds = subplots.yaxis;\n    var xNames = Lib.simpleMap(xIds, id2name);\n    var yNames = Lib.simpleMap(yIds, id2name);\n    var axNames = xNames.concat(yNames);\n\n    // plot_bgcolor only makes sense if there's a (2D) plot!\n    // TODO: bgcolor for each subplot, to inherit from the main one\n    var plot_bgcolor = Color.background;\n    if(xIds.length && yIds.length) {\n        plot_bgcolor = Lib.coerce(layoutIn, layoutOut, basePlotLayoutAttributes, 'plot_bgcolor');\n    }\n\n    var bgColor = Color.combine(plot_bgcolor, layoutOut.paper_bgcolor);\n\n    var axName, axLetter, axLayoutIn, axLayoutOut;\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(axLayoutIn, axLayoutOut, layoutAttributes, attr, dflt);\n    }\n\n    function coerce2(attr, dflt) {\n        return Lib.coerce2(axLayoutIn, axLayoutOut, layoutAttributes, attr, dflt);\n    }\n\n    function getCounterAxes(axLetter) {\n        return (axLetter === 'x') ? yIds : xIds;\n    }\n\n    var counterAxes = {x: getCounterAxes('x'), y: getCounterAxes('y')};\n\n    function getOverlayableAxes(axLetter, axName) {\n        var list = (axLetter === 'x') ? xNames : yNames;\n        var out = [];\n\n        for(var j = 0; j < list.length; j++) {\n            var axName2 = list[j];\n\n            if(axName2 !== axName && !(layoutIn[axName2] || {}).overlaying) {\n                out.push(name2id(axName2));\n            }\n        }\n\n        return out;\n    }\n\n    // first pass creates the containers, determines types, and handles most of the settings\n    for(i = 0; i < axNames.length; i++) {\n        axName = axNames[i];\n        axLetter = axName.charAt(0);\n\n        if(!Lib.isPlainObject(layoutIn[axName])) {\n            layoutIn[axName] = {};\n        }\n\n        axLayoutIn = layoutIn[axName];\n        axLayoutOut = Template.newContainer(layoutOut, axName, axLetter + 'axis');\n\n        var traces = ax2traces[axName] || [];\n        axLayoutOut._traceIndices = traces.map(function(t) { return t._expandedIndex; });\n        axLayoutOut._annIndices = [];\n        axLayoutOut._shapeIndices = [];\n\n        // set up some private properties\n        axLayoutOut._name = axName;\n        var id = axLayoutOut._id = name2id(axName);\n\n        var overlayableAxes = getOverlayableAxes(axLetter, axName);\n\n        var defaultOptions = {\n            letter: axLetter,\n            font: layoutOut.font,\n            outerTicks: outerTicks[axName],\n            showGrid: !noGrids[axName],\n            data: traces,\n            bgColor: bgColor,\n            calendar: layoutOut.calendar,\n            automargin: true,\n            cheateronly: axLetter === 'x' && xaCheater[axName] && !xaNonCheater[axName],\n            splomStash: ((layoutOut._splomAxes || {})[axLetter] || {})[id]\n        };\n\n        handleTypeDefaults(axLayoutIn, axLayoutOut, coerce, defaultOptions);\n        handleAxisDefaults(axLayoutIn, axLayoutOut, coerce, defaultOptions, layoutOut);\n\n        var spikecolor = coerce2('spikecolor'),\n            spikethickness = coerce2('spikethickness'),\n            spikedash = coerce2('spikedash'),\n            spikemode = coerce2('spikemode'),\n            spikesnap = coerce2('spikesnap'),\n            showSpikes = coerce('showspikes', !!spikecolor || !!spikethickness || !!spikedash || !!spikemode || !!spikesnap);\n\n        if(!showSpikes) {\n            delete axLayoutOut.spikecolor;\n            delete axLayoutOut.spikethickness;\n            delete axLayoutOut.spikedash;\n            delete axLayoutOut.spikemode;\n            delete axLayoutOut.spikesnap;\n        }\n\n        var positioningOptions = {\n            letter: axLetter,\n            counterAxes: counterAxes[axLetter],\n            overlayableAxes: overlayableAxes,\n            grid: layoutOut.grid\n        };\n\n        handlePositionDefaults(axLayoutIn, axLayoutOut, coerce, positioningOptions);\n\n        axLayoutOut._input = axLayoutIn;\n    }\n\n    // quick second pass for range slider and selector defaults\n    var rangeSliderDefaults = getComponentMethod('rangeslider', 'handleDefaults');\n    var rangeSelectorDefaults = getComponentMethod('rangeselector', 'handleDefaults');\n\n    for(i = 0; i < xNames.length; i++) {\n        axName = xNames[i];\n        axLayoutIn = layoutIn[axName];\n        axLayoutOut = layoutOut[axName];\n\n        rangeSliderDefaults(layoutIn, layoutOut, axName);\n\n        if(axLayoutOut.type === 'date') {\n            rangeSelectorDefaults(\n                axLayoutIn,\n                axLayoutOut,\n                layoutOut,\n                yNames,\n                axLayoutOut.calendar\n            );\n        }\n\n        coerce('fixedrange');\n    }\n\n    for(i = 0; i < yNames.length; i++) {\n        axName = yNames[i];\n        axLayoutIn = layoutIn[axName];\n        axLayoutOut = layoutOut[axName];\n\n        var anchoredAxis = layoutOut[id2name(axLayoutOut.anchor)];\n\n        var fixedRangeDflt = (\n            anchoredAxis &&\n            anchoredAxis.rangeslider &&\n            anchoredAxis.rangeslider.visible\n        );\n\n        coerce('fixedrange', fixedRangeDflt);\n    }\n\n    // Finally, handle scale constraints. We need to do this after all axes have\n    // coerced both `type` (so we link only axes of the same type) and\n    // `fixedrange` (so we can avoid linking from OR TO a fixed axis).\n\n    // sets of axes linked by `scaleanchor` along with the scaleratios compounded\n    // together, populated in handleConstraintDefaults\n    layoutOut._axisConstraintGroups = [];\n    var allAxisIds = counterAxes.x.concat(counterAxes.y);\n\n    for(i = 0; i < axNames.length; i++) {\n        axName = axNames[i];\n        axLetter = axName.charAt(0);\n\n        axLayoutIn = layoutIn[axName];\n        axLayoutOut = layoutOut[axName];\n\n        handleConstraintDefaults(axLayoutIn, axLayoutOut, coerce, allAxisIds, layoutOut);\n    }\n};\n\n},{\"../../components/color\":570,\"../../lib\":696,\"../../plot_api/plot_template\":735,\"../../registry\":828,\"../layout_attributes\":800,\"./axis_defaults\":747,\"./axis_ids\":748,\"./constraint_defaults\":752,\"./layout_attributes\":758,\"./position_defaults\":761,\"./type_defaults\":769}],760:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorMix = _dereq_('tinycolor2').mix;\nvar lightFraction = _dereq_('../../components/color/attributes').lightFraction;\nvar Lib = _dereq_('../../lib');\n\n/**\n * @param {object} opts :\n *   - dfltColor {string} : default axis color\n *   - bgColor {string} : combined subplot bg color\n *   - blend {number, optional} : blend percentage (to compute dflt grid color)\n *   - showLine {boolean} : show line by default\n *   - showGrid {boolean} : show grid by default\n *   - noZeroLine {boolean} : don't coerce zeroline* attributes\n *   - attributes {object} : attribute object associated with input containers\n */\nmodule.exports = function handleLineGridDefaults(containerIn, containerOut, coerce, opts) {\n    opts = opts || {};\n\n    var dfltColor = opts.dfltColor;\n\n    function coerce2(attr, dflt) {\n        return Lib.coerce2(containerIn, containerOut, opts.attributes, attr, dflt);\n    }\n\n    var lineColor = coerce2('linecolor', dfltColor);\n    var lineWidth = coerce2('linewidth');\n    var showLine = coerce('showline', opts.showLine || !!lineColor || !!lineWidth);\n\n    if(!showLine) {\n        delete containerOut.linecolor;\n        delete containerOut.linewidth;\n    }\n\n    var gridColorDflt = colorMix(dfltColor, opts.bgColor, opts.blend || lightFraction).toRgbString();\n    var gridColor = coerce2('gridcolor', gridColorDflt);\n    var gridWidth = coerce2('gridwidth');\n    var showGridLines = coerce('showgrid', opts.showGrid || !!gridColor || !!gridWidth);\n\n    if(!showGridLines) {\n        delete containerOut.gridcolor;\n        delete containerOut.gridwidth;\n    }\n\n    if(!opts.noZeroLine) {\n        var zeroLineColor = coerce2('zerolinecolor', dfltColor);\n        var zeroLineWidth = coerce2('zerolinewidth');\n        var showZeroLine = coerce('zeroline', opts.showGrid || !!zeroLineColor || !!zeroLineWidth);\n\n        if(!showZeroLine) {\n            delete containerOut.zerolinecolor;\n            delete containerOut.zerolinewidth;\n        }\n    }\n};\n\n},{\"../../components/color/attributes\":569,\"../../lib\":696,\"tinycolor2\":514}],761:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\n\n\nmodule.exports = function handlePositionDefaults(containerIn, containerOut, coerce, options) {\n    var counterAxes = options.counterAxes || [];\n    var overlayableAxes = options.overlayableAxes || [];\n    var letter = options.letter;\n    var grid = options.grid;\n\n    var dfltAnchor, dfltDomain, dfltSide, dfltPosition;\n\n    if(grid) {\n        dfltDomain = grid._domains[letter][grid._axisMap[containerOut._id]];\n        dfltAnchor = grid._anchors[containerOut._id];\n        if(dfltDomain) {\n            dfltSide = grid[letter + 'side'].split(' ')[0];\n            dfltPosition = grid.domain[letter][dfltSide === 'right' || dfltSide === 'top' ? 1 : 0];\n        }\n    }\n\n    // Even if there's a grid, this axis may not be in it - fall back on non-grid defaults\n    dfltDomain = dfltDomain || [0, 1];\n    dfltAnchor = dfltAnchor || (isNumeric(containerIn.position) ? 'free' : (counterAxes[0] || 'free'));\n    dfltSide = dfltSide || (letter === 'x' ? 'bottom' : 'left');\n    dfltPosition = dfltPosition || 0;\n\n    var anchor = Lib.coerce(containerIn, containerOut, {\n        anchor: {\n            valType: 'enumerated',\n            values: ['free'].concat(counterAxes),\n            dflt: dfltAnchor\n        }\n    }, 'anchor');\n\n    if(anchor === 'free') coerce('position', dfltPosition);\n\n    Lib.coerce(containerIn, containerOut, {\n        side: {\n            valType: 'enumerated',\n            values: letter === 'x' ? ['bottom', 'top'] : ['left', 'right'],\n            dflt: dfltSide\n        }\n    }, 'side');\n\n    var overlaying = false;\n    if(overlayableAxes.length) {\n        overlaying = Lib.coerce(containerIn, containerOut, {\n            overlaying: {\n                valType: 'enumerated',\n                values: [false].concat(overlayableAxes),\n                dflt: false\n            }\n        }, 'overlaying');\n    }\n\n    if(!overlaying) {\n        // TODO: right now I'm copying this domain over to overlaying axes\n        // in ax.setscale()... but this means we still need (imperfect) logic\n        // in the axes popover to hide domain for the overlaying axis.\n        // perhaps I should make a private version _domain that all axes get???\n        var domain = coerce('domain', dfltDomain);\n        if(domain[0] > domain[1] - 0.01) containerOut.domain = dfltDomain;\n        Lib.noneOrAll(containerIn.domain, containerOut.domain, dfltDomain);\n    }\n\n    coerce('layer');\n\n    return containerOut;\n};\n\n},{\"../../lib\":696,\"fast-isnumeric\":214}],762:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar FROM_BL = _dereq_('../../constants/alignment').FROM_BL;\n\nmodule.exports = function scaleZoom(ax, factor, centerFraction) {\n    if(centerFraction === undefined) {\n        centerFraction = FROM_BL[ax.constraintoward || 'center'];\n    }\n\n    var rangeLinear = [ax.r2l(ax.range[0]), ax.r2l(ax.range[1])];\n    var center = rangeLinear[0] + (rangeLinear[1] - rangeLinear[0]) * centerFraction;\n\n    ax.range = ax._input.range = [\n        ax.l2r(center + (rangeLinear[0] - center) * factor),\n        ax.l2r(center + (rangeLinear[1] - center) * factor)\n    ];\n};\n\n},{\"../../constants/alignment\":668}],763:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar polybool = _dereq_('polybooljs');\n\nvar Registry = _dereq_('../../registry');\nvar Color = _dereq_('../../components/color');\nvar Fx = _dereq_('../../components/fx');\n\nvar polygon = _dereq_('../../lib/polygon');\nvar throttle = _dereq_('../../lib/throttle');\nvar makeEventData = _dereq_('../../components/fx/helpers').makeEventData;\nvar getFromId = _dereq_('./axis_ids').getFromId;\nvar clearGlCanvases = _dereq_('../../lib/clear_gl_canvases');\nvar redrawReglTraces = _dereq_('../../plot_api/subroutines').redrawReglTraces;\n\nvar constants = _dereq_('./constants');\nvar MINSELECT = constants.MINSELECT;\n\nvar filteredPolygon = polygon.filter;\nvar polygonTester = polygon.tester;\n\nfunction getAxId(ax) { return ax._id; }\n\nfunction prepSelect(e, startX, startY, dragOptions, mode) {\n    var gd = dragOptions.gd;\n    var fullLayout = gd._fullLayout;\n    var zoomLayer = fullLayout._zoomlayer;\n    var dragBBox = dragOptions.element.getBoundingClientRect();\n    var plotinfo = dragOptions.plotinfo;\n    var xs = plotinfo.xaxis._offset;\n    var ys = plotinfo.yaxis._offset;\n    var x0 = startX - dragBBox.left;\n    var y0 = startY - dragBBox.top;\n    var x1 = x0;\n    var y1 = y0;\n    var path0 = 'M' + x0 + ',' + y0;\n    var pw = dragOptions.xaxes[0]._length;\n    var ph = dragOptions.yaxes[0]._length;\n    var allAxes = dragOptions.xaxes.concat(dragOptions.yaxes);\n    var subtract = e.altKey;\n\n    var filterPoly, selectionTester, mergedPolygons, currentPolygon;\n    var i, searchInfo, eventData;\n\n    coerceSelectionsCache(e, gd, dragOptions);\n\n    if(mode === 'lasso') {\n        filterPoly = filteredPolygon([[x0, y0]], constants.BENDPX);\n    }\n\n    var outlines = zoomLayer.selectAll('path.select-outline-' + plotinfo.id).data([1, 2]);\n\n    outlines.enter()\n        .append('path')\n        .attr('class', function(d) { return 'select-outline select-outline-' + d + ' select-outline-' + plotinfo.id; })\n        .attr('transform', 'translate(' + xs + ', ' + ys + ')')\n        .attr('d', path0 + 'Z');\n\n    var corners = zoomLayer.append('path')\n        .attr('class', 'zoombox-corners')\n        .style({\n            fill: Color.background,\n            stroke: Color.defaultLine,\n            'stroke-width': 1\n        })\n        .attr('transform', 'translate(' + xs + ', ' + ys + ')')\n        .attr('d', 'M0,0Z');\n\n\n    var throttleID = fullLayout._uid + constants.SELECTID;\n    var selection = [];\n\n    // find the traces to search for selection points\n    var searchTraces = determineSearchTraces(gd, dragOptions.xaxes,\n      dragOptions.yaxes, dragOptions.subplot);\n\n    function axValue(ax) {\n        var index = (ax._id.charAt(0) === 'y') ? 1 : 0;\n        return function(v) { return ax.p2d(v[index]); };\n    }\n\n    function ascending(a, b) { return a - b; }\n\n    // allow subplots to override fillRangeItems routine\n    var fillRangeItems;\n\n    if(plotinfo.fillRangeItems) {\n        fillRangeItems = plotinfo.fillRangeItems;\n    } else {\n        if(mode === 'select') {\n            fillRangeItems = function(eventData, poly) {\n                var ranges = eventData.range = {};\n\n                for(i = 0; i < allAxes.length; i++) {\n                    var ax = allAxes[i];\n                    var axLetter = ax._id.charAt(0);\n\n                    ranges[ax._id] = [\n                        ax.p2d(poly[axLetter + 'min']),\n                        ax.p2d(poly[axLetter + 'max'])\n                    ].sort(ascending);\n                }\n            };\n        } else {\n            fillRangeItems = function(eventData, poly, filterPoly) {\n                var dataPts = eventData.lassoPoints = {};\n\n                for(i = 0; i < allAxes.length; i++) {\n                    var ax = allAxes[i];\n                    dataPts[ax._id] = filterPoly.filtered.map(axValue(ax));\n                }\n            };\n        }\n    }\n\n    dragOptions.moveFn = function(dx0, dy0) {\n        x1 = Math.max(0, Math.min(pw, dx0 + x0));\n        y1 = Math.max(0, Math.min(ph, dy0 + y0));\n\n        var dx = Math.abs(x1 - x0),\n            dy = Math.abs(y1 - y0);\n\n        if(mode === 'select') {\n            var direction = fullLayout.selectdirection;\n\n            if(fullLayout.selectdirection === 'any') {\n                if(dy < Math.min(dx * 0.6, MINSELECT)) direction = 'h';\n                else if(dx < Math.min(dy * 0.6, MINSELECT)) direction = 'v';\n                else direction = 'd';\n            }\n            else {\n                direction = fullLayout.selectdirection;\n            }\n\n            if(direction === 'h') {\n                // horizontal motion: make a vertical box\n                currentPolygon = [[x0, 0], [x0, ph], [x1, ph], [x1, 0]];\n                currentPolygon.xmin = Math.min(x0, x1);\n                currentPolygon.xmax = Math.max(x0, x1);\n                currentPolygon.ymin = Math.min(0, ph);\n                currentPolygon.ymax = Math.max(0, ph);\n                // extras to guide users in keeping a straight selection\n                corners.attr('d', 'M' + currentPolygon.xmin + ',' + (y0 - MINSELECT) +\n                    'h-4v' + (2 * MINSELECT) + 'h4Z' +\n                    'M' + (currentPolygon.xmax - 1) + ',' + (y0 - MINSELECT) +\n                    'h4v' + (2 * MINSELECT) + 'h-4Z');\n\n            }\n            else if(direction === 'v') {\n                // vertical motion: make a horizontal box\n                currentPolygon = [[0, y0], [0, y1], [pw, y1], [pw, y0]];\n                currentPolygon.xmin = Math.min(0, pw);\n                currentPolygon.xmax = Math.max(0, pw);\n                currentPolygon.ymin = Math.min(y0, y1);\n                currentPolygon.ymax = Math.max(y0, y1);\n                corners.attr('d', 'M' + (x0 - MINSELECT) + ',' + currentPolygon.ymin +\n                    'v-4h' + (2 * MINSELECT) + 'v4Z' +\n                    'M' + (x0 - MINSELECT) + ',' + (currentPolygon.ymax - 1) +\n                    'v4h' + (2 * MINSELECT) + 'v-4Z');\n            }\n            else if(direction === 'd') {\n                // diagonal motion\n                currentPolygon = [[x0, y0], [x0, y1], [x1, y1], [x1, y0]];\n                currentPolygon.xmin = Math.min(x0, x1);\n                currentPolygon.xmax = Math.max(x0, x1);\n                currentPolygon.ymin = Math.min(y0, y1);\n                currentPolygon.ymax = Math.max(y0, y1);\n                corners.attr('d', 'M0,0Z');\n            }\n        }\n        else if(mode === 'lasso') {\n            filterPoly.addPt([x1, y1]);\n            currentPolygon = filterPoly.filtered;\n        }\n\n        // create outline & tester\n        if(dragOptions.selectionDefs && dragOptions.selectionDefs.length) {\n            mergedPolygons = mergePolygons(dragOptions.mergedPolygons, currentPolygon, subtract);\n            currentPolygon.subtract = subtract;\n            selectionTester = multiTester(dragOptions.selectionDefs.concat([currentPolygon]));\n        }\n        else {\n            mergedPolygons = [currentPolygon];\n            selectionTester = polygonTester(currentPolygon);\n        }\n\n        // draw selection\n        drawSelection(mergedPolygons, outlines);\n\n\n        throttle.throttle(\n            throttleID,\n            constants.SELECTDELAY,\n            function() {\n                selection = [];\n\n                var thisSelection, traceSelections = [], traceSelection;\n                for(i = 0; i < searchTraces.length; i++) {\n                    searchInfo = searchTraces[i];\n\n                    traceSelection = searchInfo._module.selectPoints(searchInfo, selectionTester);\n                    traceSelections.push(traceSelection);\n\n                    thisSelection = fillSelectionItem(traceSelection, searchInfo);\n\n                    if(selection.length) {\n                        for(var j = 0; j < thisSelection.length; j++) {\n                            selection.push(thisSelection[j]);\n                        }\n                    }\n                    else selection = thisSelection;\n                }\n\n                eventData = {points: selection};\n                updateSelectedState(gd, searchTraces, eventData);\n                fillRangeItems(eventData, currentPolygon, filterPoly);\n                dragOptions.gd.emit('plotly_selecting', eventData);\n            }\n        );\n    };\n\n    dragOptions.clickFn = function(numClicks, evt) {\n        var clickmode = fullLayout.clickmode;\n\n        corners.remove();\n\n        throttle.done(throttleID).then(function() {\n            throttle.clear(throttleID);\n            if(numClicks === 2) {\n                // clear selection on doubleclick\n                outlines.remove();\n                for(i = 0; i < searchTraces.length; i++) {\n                    searchInfo = searchTraces[i];\n                    searchInfo._module.selectPoints(searchInfo, false);\n                }\n\n                updateSelectedState(gd, searchTraces);\n\n                clearSelectionsCache(dragOptions);\n\n                gd.emit('plotly_deselect', null);\n            } else {\n                if(clickmode.indexOf('select') > -1) {\n                    selectOnClick(evt, gd, dragOptions.xaxes, dragOptions.yaxes,\n                      dragOptions.subplot, dragOptions, outlines);\n                }\n\n                if(clickmode === 'event') {\n                    // TODO: remove in v2 - this was probably never intended to work as it does,\n                    // but in case anyone depends on it we don't want to break it now.\n                    // Note that click-to-select introduced pre v2 also emitts proper\n                    // event data when clickmode is having 'select' in its flag list.\n                    gd.emit('plotly_selected', undefined);\n                }\n            }\n\n            Fx.click(gd, evt);\n        });\n    };\n\n    dragOptions.doneFn = function() {\n        corners.remove();\n\n        throttle.done(throttleID).then(function() {\n            throttle.clear(throttleID);\n            dragOptions.gd.emit('plotly_selected', eventData);\n\n            if(currentPolygon && dragOptions.selectionDefs) {\n                // save last polygons\n                currentPolygon.subtract = subtract;\n                dragOptions.selectionDefs.push(currentPolygon);\n\n                // we have to keep reference to arrays container\n                dragOptions.mergedPolygons.length = 0;\n                [].push.apply(dragOptions.mergedPolygons, mergedPolygons);\n            }\n        });\n    };\n}\n\nfunction selectOnClick(evt, gd, xAxes, yAxes, subplot, dragOptions, polygonOutlines) {\n    var hoverData = gd._hoverdata;\n    var clickmode = gd._fullLayout.clickmode;\n    var sendEvents = clickmode.indexOf('event') > -1;\n    var selection = [];\n    var searchTraces, searchInfo, currentSelectionDef, selectionTester, traceSelection;\n    var thisTracesSelection, pointOrBinSelected, subtract, eventData, i;\n\n    if(isHoverDataSet(hoverData)) {\n        coerceSelectionsCache(evt, gd, dragOptions);\n        searchTraces = determineSearchTraces(gd, xAxes, yAxes, subplot);\n        var clickedPtInfo = extractClickedPtInfo(hoverData, searchTraces);\n        var isBinnedTrace = clickedPtInfo.pointNumbers.length > 0;\n\n\n        // Note: potentially costly operation isPointOrBinSelected is\n        // called as late as possible through the use of an assignment\n        // in an if condition.\n        if(isBinnedTrace ?\n            isOnlyThisBinSelected(searchTraces, clickedPtInfo) :\n            isOnlyOnePointSelected(searchTraces) &&\n                (pointOrBinSelected = isPointOrBinSelected(clickedPtInfo)))\n        {\n            if(polygonOutlines) polygonOutlines.remove();\n            for(i = 0; i < searchTraces.length; i++) {\n                searchInfo = searchTraces[i];\n                searchInfo._module.selectPoints(searchInfo, false);\n            }\n\n            updateSelectedState(gd, searchTraces);\n\n            clearSelectionsCache(dragOptions);\n\n            if(sendEvents) {\n                gd.emit('plotly_deselect', null);\n            }\n        } else {\n            subtract = evt.shiftKey &&\n              (pointOrBinSelected !== undefined ?\n                pointOrBinSelected :\n                isPointOrBinSelected(clickedPtInfo));\n            currentSelectionDef = newPointSelectionDef(clickedPtInfo.pointNumber, clickedPtInfo.searchInfo, subtract);\n\n            var allSelectionDefs = dragOptions.selectionDefs.concat([currentSelectionDef]);\n            selectionTester = multiTester(allSelectionDefs);\n\n            for(i = 0; i < searchTraces.length; i++) {\n                traceSelection = searchTraces[i]._module.selectPoints(searchTraces[i], selectionTester);\n                thisTracesSelection = fillSelectionItem(traceSelection, searchTraces[i]);\n\n                if(selection.length) {\n                    for(var j = 0; j < thisTracesSelection.length; j++) {\n                        selection.push(thisTracesSelection[j]);\n                    }\n                }\n                else selection = thisTracesSelection;\n            }\n\n            eventData = {points: selection};\n            updateSelectedState(gd, searchTraces, eventData);\n\n            if(currentSelectionDef && dragOptions) {\n                dragOptions.selectionDefs.push(currentSelectionDef);\n            }\n\n            if(polygonOutlines) drawSelection(dragOptions.mergedPolygons, polygonOutlines);\n\n            if(sendEvents) {\n                gd.emit('plotly_selected', eventData);\n            }\n        }\n    }\n}\n\n/**\n * Constructs a new point selection definition object.\n */\nfunction newPointSelectionDef(pointNumber, searchInfo, subtract) {\n    return {\n        pointNumber: pointNumber,\n        searchInfo: searchInfo,\n        subtract: subtract\n    };\n}\n\nfunction isPointSelectionDef(o) {\n    return 'pointNumber' in o && 'searchInfo' in o;\n}\n\n/*\n * Constructs a new point number tester.\n */\nfunction newPointNumTester(pointSelectionDef) {\n    return {\n        xmin: 0,\n        xmax: 0,\n        ymin: 0,\n        ymax: 0,\n        pts: [],\n        contains: function(pt, omitFirstEdge, pointNumber, searchInfo) {\n            var idxWantedTrace = pointSelectionDef.searchInfo.cd[0].trace._expandedIndex;\n            var idxActualTrace = searchInfo.cd[0].trace._expandedIndex;\n            return idxActualTrace === idxWantedTrace &&\n              pointNumber === pointSelectionDef.pointNumber;\n        },\n        isRect: false,\n        degenerate: false,\n        subtract: pointSelectionDef.subtract\n    };\n}\n\n/**\n * Wraps multiple selection testers.\n *\n * @param {Array} list - An array of selection testers.\n *\n * @return a selection tester object with a contains function\n * that can be called to evaluate a point against all wrapped\n * selection testers that were passed in list.\n */\nfunction multiTester(list) {\n    var testers = [];\n    var xmin = isPointSelectionDef(list[0]) ? 0 : list[0][0][0];\n    var xmax = xmin;\n    var ymin = isPointSelectionDef(list[0]) ? 0 : list[0][0][1];\n    var ymax = ymin;\n\n    for(var i = 0; i < list.length; i++) {\n        if(isPointSelectionDef(list[i])) {\n            testers.push(newPointNumTester(list[i]));\n        } else {\n            var tester = polygon.tester(list[i]);\n            tester.subtract = list[i].subtract;\n            testers.push(tester);\n            xmin = Math.min(xmin, tester.xmin);\n            xmax = Math.max(xmax, tester.xmax);\n            ymin = Math.min(ymin, tester.ymin);\n            ymax = Math.max(ymax, tester.ymax);\n        }\n    }\n\n    /**\n     * Tests if the given point is within this tester.\n     *\n     * @param {Array} pt - [0] is the x coordinate, [1] is the y coordinate of the point.\n     * @param {*} arg - An optional parameter to pass down to wrapped testers.\n     * @param {number} pointNumber - The point number of the point within the underlying data array.\n     * @param {number} searchInfo - An object identifying the trace the point is contained in.\n     *\n     * @return {boolean} true if point is considered to be selected, false otherwise.\n     */\n    function contains(pt, arg, pointNumber, searchInfo) {\n        var contained = false;\n        for(var i = 0; i < testers.length; i++) {\n            if(testers[i].contains(pt, arg, pointNumber, searchInfo)) {\n                // if contained by subtract tester - exclude the point\n                contained = testers[i].subtract === false;\n            }\n        }\n\n        return contained;\n    }\n\n    return {\n        xmin: xmin,\n        xmax: xmax,\n        ymin: ymin,\n        ymax: ymax,\n        pts: [],\n        contains: contains,\n        isRect: false,\n        degenerate: false\n    };\n}\n\nfunction coerceSelectionsCache(evt, gd, dragOptions) {\n    var fullLayout = gd._fullLayout;\n    var zoomLayer = fullLayout._zoomlayer;\n    var plotinfo = dragOptions.plotinfo;\n\n    var selectingOnSameSubplot = (\n      fullLayout._lastSelectedSubplot &&\n      fullLayout._lastSelectedSubplot === plotinfo.id\n    );\n    var hasModifierKey = evt.shiftKey || evt.altKey;\n    if(selectingOnSameSubplot && hasModifierKey &&\n      (plotinfo.selection && plotinfo.selection.selectionDefs) && !dragOptions.selectionDefs) {\n        // take over selection definitions from prev mode, if any\n        dragOptions.selectionDefs = plotinfo.selection.selectionDefs;\n        dragOptions.mergedPolygons = plotinfo.selection.mergedPolygons;\n    } else if(!hasModifierKey || !plotinfo.selection) {\n        clearSelectionsCache(dragOptions);\n    }\n\n    // clear selection outline when selecting a different subplot\n    if(!selectingOnSameSubplot) {\n        clearSelect(zoomLayer);\n        fullLayout._lastSelectedSubplot = plotinfo.id;\n    }\n}\n\nfunction clearSelectionsCache(dragOptions) {\n    var plotinfo = dragOptions.plotinfo;\n\n    plotinfo.selection = {};\n    plotinfo.selection.selectionDefs = dragOptions.selectionDefs = [];\n    plotinfo.selection.mergedPolygons = dragOptions.mergedPolygons = [];\n}\n\nfunction determineSearchTraces(gd, xAxes, yAxes, subplot) {\n    var searchTraces = [];\n    var xAxisIds = xAxes.map(getAxId);\n    var yAxisIds = yAxes.map(getAxId);\n    var cd, trace, i;\n\n    for(i = 0; i < gd.calcdata.length; i++) {\n        cd = gd.calcdata[i];\n        trace = cd[0].trace;\n\n        if(trace.visible !== true || !trace._module || !trace._module.selectPoints) continue;\n\n        if(subplot && (trace.subplot === subplot || trace.geo === subplot)) {\n            searchTraces.push(createSearchInfo(trace._module, cd, xAxes[0], yAxes[0]));\n        } else if(\n          trace.type === 'splom' &&\n          // FIXME: make sure we don't have more than single axis for splom\n          trace._xaxes[xAxisIds[0]] && trace._yaxes[yAxisIds[0]]\n        ) {\n            var info = createSearchInfo(trace._module, cd, xAxes[0], yAxes[0]);\n            info.scene = gd._fullLayout._splomScenes[trace.uid];\n            searchTraces.push(info);\n        } else {\n            if(xAxisIds.indexOf(trace.xaxis) === -1) continue;\n            if(yAxisIds.indexOf(trace.yaxis) === -1) continue;\n\n            searchTraces.push(createSearchInfo(trace._module, cd,\n              getFromId(gd, trace.xaxis), getFromId(gd, trace.yaxis)));\n        }\n    }\n\n    return searchTraces;\n\n    function createSearchInfo(module, calcData, xaxis, yaxis) {\n        return {\n            _module: module,\n            cd: calcData,\n            xaxis: xaxis,\n            yaxis: yaxis\n        };\n    }\n}\n\nfunction drawSelection(polygons, outlines) {\n    var paths = [];\n    var i, d;\n\n    for(i = 0; i < polygons.length; i++) {\n        var ppts = polygons[i];\n        paths.push(ppts.join('L') + 'L' + ppts[0]);\n    }\n\n    d = polygons.length > 0 ?\n      'M' + paths.join('M') + 'Z' :\n      'M0,0Z';\n    outlines.attr('d', d);\n}\n\nfunction isHoverDataSet(hoverData) {\n    return hoverData &&\n      Array.isArray(hoverData) &&\n      hoverData[0].hoverOnBox !== true;\n}\n\nfunction extractClickedPtInfo(hoverData, searchTraces) {\n    var hoverDatum = hoverData[0];\n    var pointNumber = -1;\n    var pointNumbers = [];\n    var searchInfo, i;\n\n    for(i = 0; i < searchTraces.length; i++) {\n        searchInfo = searchTraces[i];\n        if(hoverDatum.fullData._expandedIndex === searchInfo.cd[0].trace._expandedIndex) {\n\n            // Special case for box (and violin)\n            if(hoverDatum.hoverOnBox === true) {\n                break;\n            }\n\n            // Hint: in some traces like histogram, one graphical element\n            // doesn't correspond to one particular data point, but to\n            // bins of data points. Thus, hoverDatum can have a binNumber\n            // property instead of pointNumber.\n            if(hoverDatum.pointNumber !== undefined) {\n                pointNumber = hoverDatum.pointNumber;\n            } else if(hoverDatum.binNumber !== undefined) {\n                pointNumber = hoverDatum.binNumber;\n                pointNumbers = hoverDatum.pointNumbers;\n            }\n\n            break;\n        }\n    }\n\n    return {\n        pointNumber: pointNumber,\n        pointNumbers: pointNumbers,\n        searchInfo: searchInfo\n    };\n}\n\nfunction isPointOrBinSelected(clickedPtInfo) {\n    var trace = clickedPtInfo.searchInfo.cd[0].trace;\n    var ptNum = clickedPtInfo.pointNumber;\n    var ptNums = clickedPtInfo.pointNumbers;\n    var ptNumsSet = ptNums.length > 0;\n\n    // When pointsNumbers is set (e.g. histogram's binning),\n    // it is assumed that when the first point of\n    // a bin is selected, all others are as well\n    var ptNumToTest = ptNumsSet ? ptNums[0] : ptNum;\n\n    // TODO potential performance improvement\n    // Primarily we need this function to determine if a click adds\n    // or subtracts from a selection.\n    // In cases `trace.selectedpoints` is a huge array, indexOf\n    // might be slow. One remedy would be to introduce a hash somewhere.\n    return trace.selectedpoints ? trace.selectedpoints.indexOf(ptNumToTest) > -1 : false;\n}\n\nfunction isOnlyThisBinSelected(searchTraces, clickedPtInfo) {\n    var tracesWithSelectedPts = [];\n    var searchInfo, trace, isSameTrace, i;\n\n    for(i = 0; i < searchTraces.length; i++) {\n        searchInfo = searchTraces[i];\n        if(searchInfo.cd[0].trace.selectedpoints && searchInfo.cd[0].trace.selectedpoints.length > 0) {\n            tracesWithSelectedPts.push(searchInfo);\n        }\n    }\n\n    if(tracesWithSelectedPts.length === 1) {\n        isSameTrace = tracesWithSelectedPts[0] === clickedPtInfo.searchInfo;\n        if(isSameTrace) {\n            trace = clickedPtInfo.searchInfo.cd[0].trace;\n            if(trace.selectedpoints.length === clickedPtInfo.pointNumbers.length) {\n                for(i = 0; i < clickedPtInfo.pointNumbers.length; i++) {\n                    if(trace.selectedpoints.indexOf(clickedPtInfo.pointNumbers[i]) < 0) {\n                        return false;\n                    }\n                }\n                return true;\n            }\n        }\n    }\n\n    return false;\n}\n\nfunction isOnlyOnePointSelected(searchTraces) {\n    var len = 0;\n    var searchInfo, trace, i;\n\n    for(i = 0; i < searchTraces.length; i++) {\n        searchInfo = searchTraces[i];\n        trace = searchInfo.cd[0].trace;\n        if(trace.selectedpoints) {\n            if(trace.selectedpoints.length > 1) return false;\n\n            len += trace.selectedpoints.length;\n            if(len > 1) return false;\n        }\n    }\n\n    return len === 1;\n}\n\nfunction updateSelectedState(gd, searchTraces, eventData) {\n    var i, searchInfo, cd, trace;\n\n    if(eventData) {\n        var pts = eventData.points || [];\n\n        for(i = 0; i < searchTraces.length; i++) {\n            trace = searchTraces[i].cd[0].trace;\n            trace.selectedpoints = [];\n            trace._input.selectedpoints = [];\n        }\n\n        for(i = 0; i < pts.length; i++) {\n            var pt = pts[i];\n            var data = pt.data;\n            var fullData = pt.fullData;\n\n            if(pt.pointIndices) {\n                [].push.apply(data.selectedpoints, pt.pointIndices);\n                [].push.apply(fullData.selectedpoints, pt.pointIndices);\n            } else {\n                data.selectedpoints.push(pt.pointIndex);\n                fullData.selectedpoints.push(pt.pointIndex);\n            }\n        }\n    }\n    else {\n        for(i = 0; i < searchTraces.length; i++) {\n            trace = searchTraces[i].cd[0].trace;\n            delete trace.selectedpoints;\n            delete trace._input.selectedpoints;\n        }\n    }\n\n    var hasRegl = false;\n\n    for(i = 0; i < searchTraces.length; i++) {\n        searchInfo = searchTraces[i];\n        cd = searchInfo.cd;\n        trace = cd[0].trace;\n\n        if(Registry.traceIs(trace, 'regl')) {\n            hasRegl = true;\n        }\n\n        var _module = searchInfo._module;\n        var fn = _module.styleOnSelect || _module.style;\n        if(fn) fn(gd, cd);\n    }\n\n    if(hasRegl) {\n        clearGlCanvases(gd);\n        redrawReglTraces(gd);\n    }\n}\n\nfunction mergePolygons(list, poly, subtract) {\n    var res;\n\n    if(subtract) {\n        res = polybool.difference({\n            regions: list,\n            inverted: false\n        }, {\n            regions: [poly],\n            inverted: false\n        });\n\n        return res.regions;\n    }\n\n    res = polybool.union({\n        regions: list,\n        inverted: false\n    }, {\n        regions: [poly],\n        inverted: false\n    });\n\n    return res.regions;\n}\n\nfunction fillSelectionItem(selection, searchInfo) {\n    if(Array.isArray(selection)) {\n        var cd = searchInfo.cd;\n        var trace = searchInfo.cd[0].trace;\n\n        for(var i = 0; i < selection.length; i++) {\n            selection[i] = makeEventData(selection[i], trace, cd);\n        }\n    }\n\n    return selection;\n}\n\nfunction clearSelect(zoomlayer) {\n    // until we get around to persistent selections, remove the outline\n    // here. The selection itself will be removed when the plot redraws\n    // at the end.\n    zoomlayer.selectAll('.select-outline').remove();\n}\n\nmodule.exports = {\n    prepSelect: prepSelect,\n    clearSelect: clearSelect,\n    selectOnClick: selectOnClick\n};\n\n},{\"../../components/color\":570,\"../../components/fx\":612,\"../../components/fx/helpers\":609,\"../../lib/clear_gl_canvases\":679,\"../../lib/polygon\":709,\"../../lib/throttle\":722,\"../../plot_api/subroutines\":736,\"../../registry\":828,\"./axis_ids\":748,\"./constants\":751,\"polybooljs\":456}],764:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\nvar cleanNumber = Lib.cleanNumber;\nvar ms2DateTime = Lib.ms2DateTime;\nvar dateTime2ms = Lib.dateTime2ms;\nvar ensureNumber = Lib.ensureNumber;\n\nvar numConstants = _dereq_('../../constants/numerical');\nvar FP_SAFE = numConstants.FP_SAFE;\nvar BADNUM = numConstants.BADNUM;\nvar LOG_CLIP = numConstants.LOG_CLIP;\n\nvar constants = _dereq_('./constants');\nvar axisIds = _dereq_('./axis_ids');\n\nfunction fromLog(v) {\n    return Math.pow(10, v);\n}\n\n/**\n * Define the conversion functions for an axis data is used in 5 ways:\n *\n *  d: data, in whatever form it's provided\n *  c: calcdata: turned into numbers, but not linearized\n *  l: linearized - same as c except for log axes (and other nonlinear\n *      mappings later?) this is used when we need to know if it's\n *      *possible* to show some data on this axis, without caring about\n *      the current range\n *  p: pixel value - mapped to the screen with current size and zoom\n *  r: ranges, tick0, and annotation positions match one of the above\n *     but are handled differently for different types:\n *     - linear and date: data format (d)\n *     - category: calcdata format (c), and will stay that way because\n *       the data format has no continuous mapping\n *     - log: linearized (l) format\n *       TODO: in v2.0 we plan to change it to data format. At that point\n *       shapes will work the same way as ranges, tick0, and annotations\n *       so they can use this conversion too.\n *\n * Creates/updates these conversion functions, and a few more utilities\n * like cleanRange, and makeCalcdata\n *\n * also clears the autotick constraints ._minDtick, ._forceTick0\n */\nmodule.exports = function setConvert(ax, fullLayout) {\n    fullLayout = fullLayout || {};\n\n    var axLetter = (ax._id || 'x').charAt(0);\n\n    function toLog(v, clip) {\n        if(v > 0) return Math.log(v) / Math.LN10;\n\n        else if(v <= 0 && clip && ax.range && ax.range.length === 2) {\n            // clip NaN (ie past negative infinity) to LOG_CLIP axis\n            // length past the negative edge\n            var r0 = ax.range[0],\n                r1 = ax.range[1];\n            return 0.5 * (r0 + r1 - 2 * LOG_CLIP * Math.abs(r0 - r1));\n        }\n\n        else return BADNUM;\n    }\n\n    /*\n     * wrapped dateTime2ms that:\n     * - accepts ms numbers for backward compatibility\n     * - inserts a dummy arg so calendar is the 3rd arg (see notes below).\n     * - defaults to ax.calendar\n     */\n    function dt2ms(v, _, calendar) {\n        // NOTE: Changed this behavior: previously we took any numeric value\n        // to be a ms, even if it was a string that could be a bare year.\n        // Now we convert it as a date if at all possible, and only try\n        // as (local) ms if that fails.\n        var ms = dateTime2ms(v, calendar || ax.calendar);\n        if(ms === BADNUM) {\n            if(isNumeric(v)) {\n                v = +v;\n                // keep track of tenths of ms, that `new Date` will drop\n                // same logic as in Lib.ms2DateTime\n                var msecTenths = Math.floor(Lib.mod(v + 0.05, 1) * 10);\n                var msRounded = Math.round(v - msecTenths / 10);\n                ms = dateTime2ms(new Date(msRounded)) + msecTenths / 10;\n            }\n            else return BADNUM;\n        }\n        return ms;\n    }\n\n    // wrapped ms2DateTime to insert default ax.calendar\n    function ms2dt(v, r, calendar) {\n        return ms2DateTime(v, r, calendar || ax.calendar);\n    }\n\n    function getCategoryName(v) {\n        return ax._categories[Math.round(v)];\n    }\n\n    /*\n     * setCategoryIndex: return the index of category v,\n     * inserting it in the list if it's not already there\n     *\n     * this will enter the categories in the order it\n     * encounters them, ie all the categories from the\n     * first data set, then all the ones from the second\n     * that aren't in the first etc.\n     *\n     * it is assumed that this function is being invoked in the\n     * already sorted category order; otherwise there would be\n     * a disconnect between the array and the index returned\n     */\n    function setCategoryIndex(v) {\n        if(v !== null && v !== undefined) {\n            if(ax._categoriesMap === undefined) {\n                ax._categoriesMap = {};\n            }\n\n            if(ax._categoriesMap[v] !== undefined) {\n                return ax._categoriesMap[v];\n            } else {\n                ax._categories.push(v);\n\n                var curLength = ax._categories.length - 1;\n                ax._categoriesMap[v] = curLength;\n\n                return curLength;\n            }\n        }\n        return BADNUM;\n    }\n\n    function getCategoryIndex(v) {\n        // d2l/d2c variant that that won't add categories but will also\n        // allow numbers to be mapped to the linearized axis positions\n        if(ax._categoriesMap) {\n            var index = ax._categoriesMap[v];\n            if(index !== undefined) return index;\n        }\n\n        if(isNumeric(v)) return +v;\n    }\n\n    function l2p(v) {\n        if(!isNumeric(v)) return BADNUM;\n\n        // include 2 fractional digits on pixel, for PDF zooming etc\n        return d3.round(ax._b + ax._m * v, 2);\n    }\n\n    function p2l(px) { return (px - ax._b) / ax._m; }\n\n    // conversions among c/l/p are fairly simple - do them together for all axis types\n    ax.c2l = (ax.type === 'log') ? toLog : ensureNumber;\n    ax.l2c = (ax.type === 'log') ? fromLog : ensureNumber;\n\n    ax.l2p = l2p;\n    ax.p2l = p2l;\n\n    ax.c2p = (ax.type === 'log') ? function(v, clip) { return l2p(toLog(v, clip)); } : l2p;\n    ax.p2c = (ax.type === 'log') ? function(px) { return fromLog(p2l(px)); } : p2l;\n\n    /*\n     * now type-specific conversions for **ALL** other combinations\n     * they're all written out, instead of being combinations of each other, for\n     * both clarity and speed.\n     */\n    if(['linear', '-'].indexOf(ax.type) !== -1) {\n        // all are data vals, but d and r need cleaning\n        ax.d2r = ax.r2d = ax.d2c = ax.r2c = ax.d2l = ax.r2l = cleanNumber;\n        ax.c2d = ax.c2r = ax.l2d = ax.l2r = ensureNumber;\n\n        ax.d2p = ax.r2p = function(v) { return ax.l2p(cleanNumber(v)); };\n        ax.p2d = ax.p2r = p2l;\n\n        ax.cleanPos = ensureNumber;\n    }\n    else if(ax.type === 'log') {\n        // d and c are data vals, r and l are logged (but d and r need cleaning)\n        ax.d2r = ax.d2l = function(v, clip) { return toLog(cleanNumber(v), clip); };\n        ax.r2d = ax.r2c = function(v) { return fromLog(cleanNumber(v)); };\n\n        ax.d2c = ax.r2l = cleanNumber;\n        ax.c2d = ax.l2r = ensureNumber;\n\n        ax.c2r = toLog;\n        ax.l2d = fromLog;\n\n        ax.d2p = function(v, clip) { return ax.l2p(ax.d2r(v, clip)); };\n        ax.p2d = function(px) { return fromLog(p2l(px)); };\n\n        ax.r2p = function(v) { return ax.l2p(cleanNumber(v)); };\n        ax.p2r = p2l;\n\n        ax.cleanPos = ensureNumber;\n    }\n    else if(ax.type === 'date') {\n        // r and d are date strings, l and c are ms\n\n        /*\n         * Any of these functions with r and d on either side, calendar is the\n         * **3rd** argument. log has reserved the second argument.\n         *\n         * Unless you need the special behavior of the second arg (ms2DateTime\n         * uses this to limit precision, toLog uses true to clip negatives\n         * to offscreen low rather than undefined), it's safe to pass 0.\n         */\n        ax.d2r = ax.r2d = Lib.identity;\n\n        ax.d2c = ax.r2c = ax.d2l = ax.r2l = dt2ms;\n        ax.c2d = ax.c2r = ax.l2d = ax.l2r = ms2dt;\n\n        ax.d2p = ax.r2p = function(v, _, calendar) { return ax.l2p(dt2ms(v, 0, calendar)); };\n        ax.p2d = ax.p2r = function(px, r, calendar) { return ms2dt(p2l(px), r, calendar); };\n\n        ax.cleanPos = function(v) { return Lib.cleanDate(v, BADNUM, ax.calendar); };\n    }\n    else if(ax.type === 'category') {\n        // d is categories (string)\n        // c and l are indices (numbers)\n        // r is categories or numbers\n\n        ax.d2c = ax.d2l = setCategoryIndex;\n        ax.r2d = ax.c2d = ax.l2d = getCategoryName;\n\n        ax.d2r = ax.d2l_noadd = getCategoryIndex;\n\n        ax.r2c = function(v) {\n            var index = getCategoryIndex(v);\n            return index !== undefined ? index : ax.fraction2r(0.5);\n        };\n\n        ax.l2r = ax.c2r = ensureNumber;\n        ax.r2l = getCategoryIndex;\n\n        ax.d2p = function(v) { return ax.l2p(ax.r2c(v)); };\n        ax.p2d = function(px) { return getCategoryName(p2l(px)); };\n        ax.r2p = ax.d2p;\n        ax.p2r = p2l;\n\n        ax.cleanPos = function(v) {\n            if(typeof v === 'string' && v !== '') return v;\n            return ensureNumber(v);\n        };\n    }\n\n    // find the range value at the specified (linear) fraction of the axis\n    ax.fraction2r = function(v) {\n        var rl0 = ax.r2l(ax.range[0]),\n            rl1 = ax.r2l(ax.range[1]);\n        return ax.l2r(rl0 + v * (rl1 - rl0));\n    };\n\n    // find the fraction of the range at the specified range value\n    ax.r2fraction = function(v) {\n        var rl0 = ax.r2l(ax.range[0]),\n            rl1 = ax.r2l(ax.range[1]);\n        return (ax.r2l(v) - rl0) / (rl1 - rl0);\n    };\n\n    /*\n     * cleanRange: make sure range is a couplet of valid & distinct values\n     * keep numbers away from the limits of floating point numbers,\n     * and dates away from the ends of our date system (+/- 9999 years)\n     *\n     * optional param rangeAttr: operate on a different attribute, like\n     * ax._r, rather than ax.range\n     */\n    ax.cleanRange = function(rangeAttr, opts) {\n        if(!opts) opts = {};\n        if(!rangeAttr) rangeAttr = 'range';\n\n        var range = Lib.nestedProperty(ax, rangeAttr).get();\n        var i, dflt;\n\n        if(ax.type === 'date') dflt = Lib.dfltRange(ax.calendar);\n        else if(axLetter === 'y') dflt = constants.DFLTRANGEY;\n        else dflt = opts.dfltRange || constants.DFLTRANGEX;\n\n        // make sure we don't later mutate the defaults\n        dflt = dflt.slice();\n\n        if(!range || range.length !== 2) {\n            Lib.nestedProperty(ax, rangeAttr).set(dflt);\n            return;\n        }\n\n        if(ax.type === 'date') {\n            // check if milliseconds or js date objects are provided for range\n            // and convert to date strings\n            range[0] = Lib.cleanDate(range[0], BADNUM, ax.calendar);\n            range[1] = Lib.cleanDate(range[1], BADNUM, ax.calendar);\n        }\n\n        for(i = 0; i < 2; i++) {\n            if(ax.type === 'date') {\n                if(!Lib.isDateTime(range[i], ax.calendar)) {\n                    ax[rangeAttr] = dflt;\n                    break;\n                }\n\n                if(ax.r2l(range[0]) === ax.r2l(range[1])) {\n                    // split by +/- 1 second\n                    var linCenter = Lib.constrain(ax.r2l(range[0]),\n                        Lib.MIN_MS + 1000, Lib.MAX_MS - 1000);\n                    range[0] = ax.l2r(linCenter - 1000);\n                    range[1] = ax.l2r(linCenter + 1000);\n                    break;\n                }\n            }\n            else {\n                if(!isNumeric(range[i])) {\n                    if(isNumeric(range[1 - i])) {\n                        range[i] = range[1 - i] * (i ? 10 : 0.1);\n                    }\n                    else {\n                        ax[rangeAttr] = dflt;\n                        break;\n                    }\n                }\n\n                if(range[i] < -FP_SAFE) range[i] = -FP_SAFE;\n                else if(range[i] > FP_SAFE) range[i] = FP_SAFE;\n\n                if(range[0] === range[1]) {\n                    // somewhat arbitrary: split by 1 or 1ppm, whichever is bigger\n                    var inc = Math.max(1, Math.abs(range[0] * 1e-6));\n                    range[0] -= inc;\n                    range[1] += inc;\n                }\n            }\n        }\n    };\n\n    // set scaling to pixels\n    ax.setScale = function(usePrivateRange) {\n        var gs = fullLayout._size;\n\n        // TODO cleaner way to handle this case\n        if(!ax._categories) ax._categories = [];\n        // Add a map to optimize the performance of category collection\n        if(!ax._categoriesMap) ax._categoriesMap = {};\n\n        // make sure we have a domain (pull it in from the axis\n        // this one is overlaying if necessary)\n        if(ax.overlaying) {\n            var ax2 = axisIds.getFromId({ _fullLayout: fullLayout }, ax.overlaying);\n            ax.domain = ax2.domain;\n        }\n\n        // While transitions are occuring, occurring, we get a double-transform\n        // issue if we transform the drawn layer *and* use the new axis range to\n        // draw the data. This allows us to construct setConvert using the pre-\n        // interaction values of the range:\n        var rangeAttr = (usePrivateRange && ax._r) ? '_r' : 'range',\n            calendar = ax.calendar;\n        ax.cleanRange(rangeAttr);\n\n        var rl0 = ax.r2l(ax[rangeAttr][0], calendar),\n            rl1 = ax.r2l(ax[rangeAttr][1], calendar);\n\n        if(axLetter === 'y') {\n            ax._offset = gs.t + (1 - ax.domain[1]) * gs.h;\n            ax._length = gs.h * (ax.domain[1] - ax.domain[0]);\n            ax._m = ax._length / (rl0 - rl1);\n            ax._b = -ax._m * rl1;\n        }\n        else {\n            ax._offset = gs.l + ax.domain[0] * gs.w;\n            ax._length = gs.w * (ax.domain[1] - ax.domain[0]);\n            ax._m = ax._length / (rl1 - rl0);\n            ax._b = -ax._m * rl0;\n        }\n\n        if(!isFinite(ax._m) || !isFinite(ax._b)) {\n            fullLayout._replotting = false;\n            throw new Error('Something went wrong with axis scaling');\n        }\n    };\n\n    // makeCalcdata: takes an x or y array and converts it\n    // to a position on the axis object \"ax\"\n    // inputs:\n    //      trace - a data object from gd.data\n    //      axLetter - a string, either 'x' or 'y', for which item\n    //          to convert (TODO: is this now always the same as\n    //          the first letter of ax._id?)\n    // in case the expected data isn't there, make a list of\n    // integers based on the opposite data\n    ax.makeCalcdata = function(trace, axLetter) {\n        var arrayIn, arrayOut, i, len;\n\n        var axType = ax.type;\n        var cal = axType === 'date' && trace[axLetter + 'calendar'];\n\n        if(axLetter in trace) {\n            arrayIn = trace[axLetter];\n            len = trace._length || arrayIn.length;\n\n            if(Lib.isTypedArray(arrayIn) && (axType === 'linear' || axType === 'log')) {\n                if(len === arrayIn.length) {\n                    return arrayIn;\n                } else if(arrayIn.subarray) {\n                    return arrayIn.subarray(0, len);\n                }\n            }\n\n            arrayOut = new Array(len);\n            for(i = 0; i < len; i++) {\n                arrayOut[i] = ax.d2c(arrayIn[i], 0, cal);\n            }\n        }\n        else {\n            var v0 = ((axLetter + '0') in trace) ? ax.d2c(trace[axLetter + '0'], 0, cal) : 0;\n            var dv = (trace['d' + axLetter]) ? Number(trace['d' + axLetter]) : 1;\n\n            // the opposing data, for size if we have x and dx etc\n            arrayIn = trace[{x: 'y', y: 'x'}[axLetter]];\n            len = trace._length || arrayIn.length;\n            arrayOut = new Array(len);\n\n            for(i = 0; i < len; i++) {\n                arrayOut[i] = v0 + i * dv;\n            }\n        }\n\n        return arrayOut;\n    };\n\n    ax.isValidRange = function(range) {\n        return (\n            Array.isArray(range) &&\n            range.length === 2 &&\n            isNumeric(ax.r2l(range[0])) &&\n            isNumeric(ax.r2l(range[1]))\n        );\n    };\n\n    ax.isPtWithinRange = function(d, calendar) {\n        var coord = ax.c2l(d[axLetter], null, calendar);\n        var r0 = ax.r2l(ax.range[0]);\n        var r1 = ax.r2l(ax.range[1]);\n\n        if(r0 < r1) {\n            return r0 <= coord && coord <= r1;\n        } else {\n            // Reversed axis case.\n            return r1 <= coord && coord <= r0;\n        }\n    };\n\n    ax.clearCalc = function() {\n        // initialize the category list, if there is one, so we start over\n        // to be filled in later by ax.d2c\n        ax._categories = (ax._initialCategories || []).slice();\n\n        // Build the lookup map for initialized categories\n        ax._categoriesMap = {};\n        for(var j = 0; j < ax._categories.length; j++) {\n            ax._categoriesMap[ax._categories[j]] = j;\n        }\n    };\n\n    // Propagate localization into the axis so that\n    // methods in Axes can use it w/o having to pass fullLayout\n    // Default (non-d3) number formatting uses separators directly\n    // dates and d3-formatted numbers use the d3 locale\n    // Fall back on default format for dummy axes that don't care about formatting\n    var locale = fullLayout._d3locale;\n    if(ax.type === 'date') {\n        ax._dateFormat = locale ? locale.timeFormat.utc : d3.time.format.utc;\n        ax._extraFormat = fullLayout._extraFormat;\n    }\n    // occasionally we need _numFormat to pass through\n    // even though it won't be needed by this axis\n    ax._separators = fullLayout.separators;\n    ax._numFormat = locale ? locale.numberFormat : d3.format;\n\n    // and for bar charts and box plots: reset forced minimum tick spacing\n    delete ax._minDtick;\n    delete ax._forceTick0;\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"./axis_ids\":748,\"./constants\":751,\"d3\":148,\"fast-isnumeric\":214}],765:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar layoutAttributes = _dereq_('./layout_attributes');\nvar handleArrayContainerDefaults = _dereq_('../array_container_defaults');\n\nmodule.exports = function handleTickLabelDefaults(containerIn, containerOut, coerce, axType, options) {\n    var showAttrDflt = getShowAttrDflt(containerIn);\n\n    var tickPrefix = coerce('tickprefix');\n    if(tickPrefix) coerce('showtickprefix', showAttrDflt);\n\n    var tickSuffix = coerce('ticksuffix', options.tickSuffixDflt);\n    if(tickSuffix) coerce('showticksuffix', showAttrDflt);\n\n    var showTickLabels = coerce('showticklabels');\n    if(showTickLabels) {\n        var font = options.font || {};\n        var contColor = containerOut.color;\n        // as with titlefont.color, inherit axis.color only if one was\n        // explicitly provided\n        var dfltFontColor = (contColor && contColor !== layoutAttributes.color.dflt) ?\n            contColor : font.color;\n        Lib.coerceFont(coerce, 'tickfont', {\n            family: font.family,\n            size: font.size,\n            color: dfltFontColor\n        });\n        coerce('tickangle');\n\n        if(axType !== 'category') {\n            var tickFormat = coerce('tickformat');\n            var tickformatStops = containerIn.tickformatstops;\n            if(Array.isArray(tickformatStops) && tickformatStops.length) {\n                handleArrayContainerDefaults(containerIn, containerOut, {\n                    name: 'tickformatstops',\n                    inclusionAttr: 'enabled',\n                    handleItemDefaults: tickformatstopDefaults\n                });\n            }\n            if(!tickFormat && axType !== 'date') {\n                coerce('showexponent', showAttrDflt);\n                coerce('exponentformat');\n                coerce('separatethousands');\n            }\n        }\n    }\n};\n\n/*\n * Attributes 'showexponent', 'showtickprefix' and 'showticksuffix'\n * share values.\n *\n * If only 1 attribute is set,\n * the remaining attributes inherit that value.\n *\n * If 2 attributes are set to the same value,\n * the remaining attribute inherits that value.\n *\n * If 2 attributes are set to different values,\n * the remaining is set to its dflt value.\n *\n */\nfunction getShowAttrDflt(containerIn) {\n    var showAttrsAll = ['showexponent',\n            'showtickprefix',\n            'showticksuffix'],\n        showAttrs = showAttrsAll.filter(function(a) {\n            return containerIn[a] !== undefined;\n        }),\n        sameVal = function(a) {\n            return containerIn[a] === containerIn[showAttrs[0]];\n        };\n\n    if(showAttrs.every(sameVal) || showAttrs.length === 1) {\n        return containerIn[showAttrs[0]];\n    }\n}\n\nfunction tickformatstopDefaults(valueIn, valueOut) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(valueIn, valueOut, layoutAttributes.tickformatstops, attr, dflt);\n    }\n\n    var enabled = coerce('enabled');\n    if(enabled) {\n        coerce('dtickrange');\n        coerce('value');\n    }\n}\n\n},{\"../../lib\":696,\"../array_container_defaults\":741,\"./layout_attributes\":758}],766:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar layoutAttributes = _dereq_('./layout_attributes');\n\n\n/**\n * options: inherits outerTicks from axes.handleAxisDefaults\n */\nmodule.exports = function handleTickDefaults(containerIn, containerOut, coerce, options) {\n    var tickLen = Lib.coerce2(containerIn, containerOut, layoutAttributes, 'ticklen'),\n        tickWidth = Lib.coerce2(containerIn, containerOut, layoutAttributes, 'tickwidth'),\n        tickColor = Lib.coerce2(containerIn, containerOut, layoutAttributes, 'tickcolor', containerOut.color),\n        showTicks = coerce('ticks', (options.outerTicks || tickLen || tickWidth || tickColor) ? 'outside' : '');\n\n    if(!showTicks) {\n        delete containerOut.ticklen;\n        delete containerOut.tickwidth;\n        delete containerOut.tickcolor;\n    }\n};\n\n},{\"../../lib\":696,\"./layout_attributes\":758}],767:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar cleanTicks = _dereq_('./clean_ticks');\n\n\nmodule.exports = function handleTickValueDefaults(containerIn, containerOut, coerce, axType) {\n    var tickmode;\n\n    if(containerIn.tickmode === 'array' &&\n            (axType === 'log' || axType === 'date')) {\n        tickmode = containerOut.tickmode = 'auto';\n    }\n    else {\n        var tickmodeDefault =\n            Array.isArray(containerIn.tickvals) ? 'array' :\n            containerIn.dtick ? 'linear' :\n            'auto';\n        tickmode = coerce('tickmode', tickmodeDefault);\n    }\n\n    if(tickmode === 'auto') coerce('nticks');\n    else if(tickmode === 'linear') {\n        // dtick is usually a positive number, but there are some\n        // special strings available for log or date axes\n        // tick0 also has special logic\n        var dtick = containerOut.dtick = cleanTicks.dtick(\n            containerIn.dtick, axType);\n        containerOut.tick0 = cleanTicks.tick0(\n            containerIn.tick0, axType, containerOut.calendar, dtick);\n    }\n    else {\n        var tickvals = coerce('tickvals');\n        if(tickvals === undefined) containerOut.tickmode = 'auto';\n        else coerce('ticktext');\n    }\n};\n\n},{\"./clean_ticks\":750}],768:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Registry = _dereq_('../../registry');\nvar Drawing = _dereq_('../../components/drawing');\nvar Axes = _dereq_('./axes');\nvar axisRegex = _dereq_('./constants').attrRegex;\n\nmodule.exports = function transitionAxes(gd, newLayout, transitionOpts, makeOnCompleteCallback) {\n    var fullLayout = gd._fullLayout;\n    var axes = [];\n\n    function computeUpdates(layout) {\n        var ai, attrList, match, axis, update;\n        var updates = {};\n\n        for(ai in layout) {\n            attrList = ai.split('.');\n            match = attrList[0].match(axisRegex);\n            if(match) {\n                var axisLetter = ai.charAt(0);\n                var axisName = attrList[0];\n                axis = fullLayout[axisName];\n                update = {};\n\n                if(Array.isArray(layout[ai])) {\n                    update.to = layout[ai].slice(0);\n                } else {\n                    if(Array.isArray(layout[ai].range)) {\n                        update.to = layout[ai].range.slice(0);\n                    }\n                }\n                if(!update.to) continue;\n\n                update.axisName = axisName;\n                update.length = axis._length;\n\n                axes.push(axisLetter);\n\n                updates[axisLetter] = update;\n            }\n        }\n\n        return updates;\n    }\n\n    function computeAffectedSubplots(fullLayout, updatedAxisIds, updates) {\n        var plotName;\n        var plotinfos = fullLayout._plots;\n        var affectedSubplots = [];\n        var toX, toY;\n\n        for(plotName in plotinfos) {\n            var plotinfo = plotinfos[plotName];\n\n            if(affectedSubplots.indexOf(plotinfo) !== -1) continue;\n\n            var x = plotinfo.xaxis._id;\n            var y = plotinfo.yaxis._id;\n            var fromX = plotinfo.xaxis.range;\n            var fromY = plotinfo.yaxis.range;\n\n            // Store the initial range at the beginning of this transition:\n            plotinfo.xaxis._r = plotinfo.xaxis.range.slice();\n            plotinfo.yaxis._r = plotinfo.yaxis.range.slice();\n\n            if(updates[x]) {\n                toX = updates[x].to;\n            } else {\n                toX = fromX;\n            }\n            if(updates[y]) {\n                toY = updates[y].to;\n            } else {\n                toY = fromY;\n            }\n\n            if(fromX[0] === toX[0] && fromX[1] === toX[1] && fromY[0] === toY[0] && fromY[1] === toY[1]) continue;\n\n            if(updatedAxisIds.indexOf(x) !== -1 || updatedAxisIds.indexOf(y) !== -1) {\n                affectedSubplots.push(plotinfo);\n            }\n        }\n\n        return affectedSubplots;\n    }\n\n    var updates = computeUpdates(newLayout);\n    var updatedAxisIds = Object.keys(updates);\n    var affectedSubplots = computeAffectedSubplots(fullLayout, updatedAxisIds, updates);\n\n    function updateLayoutObjs() {\n        function redrawObjs(objArray, method, shortCircuit) {\n            for(var i = 0; i < objArray.length; i++) {\n                method(gd, i);\n\n                // once is enough for images (which doesn't use the `i` arg anyway)\n                if(shortCircuit) return;\n            }\n        }\n\n        redrawObjs(fullLayout.annotations || [], Registry.getComponentMethod('annotations', 'drawOne'));\n        redrawObjs(fullLayout.shapes || [], Registry.getComponentMethod('shapes', 'drawOne'));\n        redrawObjs(fullLayout.images || [], Registry.getComponentMethod('images', 'draw'), true);\n    }\n\n    if(!affectedSubplots.length) {\n        updateLayoutObjs();\n        return false;\n    }\n\n    function ticksAndAnnotations(xa, ya) {\n        var activeAxIds = [],\n            i;\n\n        activeAxIds = [xa._id, ya._id];\n\n        for(i = 0; i < activeAxIds.length; i++) {\n            Axes.doTicksSingle(gd, activeAxIds[i], true);\n        }\n\n        function redrawObjs(objArray, method, shortCircuit) {\n            for(i = 0; i < objArray.length; i++) {\n                var obji = objArray[i];\n\n                if((activeAxIds.indexOf(obji.xref) !== -1) ||\n                    (activeAxIds.indexOf(obji.yref) !== -1)) {\n                    method(gd, i);\n                }\n\n                // once is enough for images (which doesn't use the `i` arg anyway)\n                if(shortCircuit) return;\n            }\n        }\n\n        redrawObjs(fullLayout.annotations || [], Registry.getComponentMethod('annotations', 'drawOne'));\n        redrawObjs(fullLayout.shapes || [], Registry.getComponentMethod('shapes', 'drawOne'));\n        redrawObjs(fullLayout.images || [], Registry.getComponentMethod('images', 'draw'), true);\n    }\n\n    function unsetSubplotTransform(subplot) {\n        var xa2 = subplot.xaxis;\n        var ya2 = subplot.yaxis;\n\n        fullLayout._defs.select('#' + subplot.clipId + '> rect')\n            .call(Drawing.setTranslate, 0, 0)\n            .call(Drawing.setScale, 1, 1);\n\n        subplot.plot\n            .call(Drawing.setTranslate, xa2._offset, ya2._offset)\n            .call(Drawing.setScale, 1, 1);\n\n        var traceGroups = subplot.plot.selectAll('.scatterlayer .trace');\n\n        // This is specifically directed at scatter traces, applying an inverse\n        // scale to individual points to counteract the scale of the trace\n        // as a whole:\n        traceGroups.selectAll('.point')\n            .call(Drawing.setPointGroupScale, 1, 1);\n        traceGroups.selectAll('.textpoint')\n            .call(Drawing.setTextPointsScale, 1, 1);\n        traceGroups\n            .call(Drawing.hideOutsideRangePoints, subplot);\n    }\n\n    function updateSubplot(subplot, progress) {\n        var axis, r0, r1;\n        var xUpdate = updates[subplot.xaxis._id];\n        var yUpdate = updates[subplot.yaxis._id];\n\n        var viewBox = [];\n\n        if(xUpdate) {\n            axis = gd._fullLayout[xUpdate.axisName];\n            r0 = axis._r;\n            r1 = xUpdate.to;\n            viewBox[0] = (r0[0] * (1 - progress) + progress * r1[0] - r0[0]) / (r0[1] - r0[0]) * subplot.xaxis._length;\n            var dx1 = r0[1] - r0[0];\n            var dx2 = r1[1] - r1[0];\n\n            axis.range[0] = r0[0] * (1 - progress) + progress * r1[0];\n            axis.range[1] = r0[1] * (1 - progress) + progress * r1[1];\n\n            viewBox[2] = subplot.xaxis._length * ((1 - progress) + progress * dx2 / dx1);\n        } else {\n            viewBox[0] = 0;\n            viewBox[2] = subplot.xaxis._length;\n        }\n\n        if(yUpdate) {\n            axis = gd._fullLayout[yUpdate.axisName];\n            r0 = axis._r;\n            r1 = yUpdate.to;\n            viewBox[1] = (r0[1] * (1 - progress) + progress * r1[1] - r0[1]) / (r0[0] - r0[1]) * subplot.yaxis._length;\n            var dy1 = r0[1] - r0[0];\n            var dy2 = r1[1] - r1[0];\n\n            axis.range[0] = r0[0] * (1 - progress) + progress * r1[0];\n            axis.range[1] = r0[1] * (1 - progress) + progress * r1[1];\n\n            viewBox[3] = subplot.yaxis._length * ((1 - progress) + progress * dy2 / dy1);\n        } else {\n            viewBox[1] = 0;\n            viewBox[3] = subplot.yaxis._length;\n        }\n\n        ticksAndAnnotations(subplot.xaxis, subplot.yaxis);\n\n        var xa2 = subplot.xaxis;\n        var ya2 = subplot.yaxis;\n\n        var editX = !!xUpdate;\n        var editY = !!yUpdate;\n\n        var xScaleFactor = editX ? xa2._length / viewBox[2] : 1,\n            yScaleFactor = editY ? ya2._length / viewBox[3] : 1;\n\n        var clipDx = editX ? viewBox[0] : 0,\n            clipDy = editY ? viewBox[1] : 0;\n\n        var fracDx = editX ? (viewBox[0] / viewBox[2] * xa2._length) : 0,\n            fracDy = editY ? (viewBox[1] / viewBox[3] * ya2._length) : 0;\n\n        var plotDx = xa2._offset - fracDx,\n            plotDy = ya2._offset - fracDy;\n\n        subplot.clipRect\n            .call(Drawing.setTranslate, clipDx, clipDy)\n            .call(Drawing.setScale, 1 / xScaleFactor, 1 / yScaleFactor);\n\n        subplot.plot\n            .call(Drawing.setTranslate, plotDx, plotDy)\n            .call(Drawing.setScale, xScaleFactor, yScaleFactor);\n\n        // apply an inverse scale to individual points to counteract\n        // the scale of the trace group.\n        Drawing.setPointGroupScale(subplot.zoomScalePts, 1 / xScaleFactor, 1 / yScaleFactor);\n        Drawing.setTextPointsScale(subplot.zoomScaleTxt, 1 / xScaleFactor, 1 / yScaleFactor);\n    }\n\n    var onComplete;\n    if(makeOnCompleteCallback) {\n        // This module makes the choice whether or not it notifies Plotly.transition\n        // about completion:\n        onComplete = makeOnCompleteCallback();\n    }\n\n    function transitionComplete() {\n        var aobj = {};\n        for(var i = 0; i < updatedAxisIds.length; i++) {\n            var axi = gd._fullLayout[updates[updatedAxisIds[i]].axisName];\n            var to = updates[updatedAxisIds[i]].to;\n            aobj[axi._name + '.range[0]'] = to[0];\n            aobj[axi._name + '.range[1]'] = to[1];\n\n            axi.range = to.slice();\n        }\n\n        // Signal that this transition has completed:\n        onComplete && onComplete();\n\n        return Registry.call('relayout', gd, aobj).then(function() {\n            for(var i = 0; i < affectedSubplots.length; i++) {\n                unsetSubplotTransform(affectedSubplots[i]);\n            }\n        });\n    }\n\n    function transitionInterrupt() {\n        var aobj = {};\n        for(var i = 0; i < updatedAxisIds.length; i++) {\n            var axi = gd._fullLayout[updatedAxisIds[i] + 'axis'];\n            aobj[axi._name + '.range[0]'] = axi.range[0];\n            aobj[axi._name + '.range[1]'] = axi.range[1];\n\n            axi.range = axi._r.slice();\n        }\n\n        return Registry.call('relayout', gd, aobj).then(function() {\n            for(var i = 0; i < affectedSubplots.length; i++) {\n                unsetSubplotTransform(affectedSubplots[i]);\n            }\n        });\n    }\n\n    var t1, t2, raf;\n    var easeFn = d3.ease(transitionOpts.easing);\n\n    gd._transitionData._interruptCallbacks.push(function() {\n        window.cancelAnimationFrame(raf);\n        raf = null;\n        return transitionInterrupt();\n    });\n\n    function doFrame() {\n        t2 = Date.now();\n\n        var tInterp = Math.min(1, (t2 - t1) / transitionOpts.duration);\n        var progress = easeFn(tInterp);\n\n        for(var i = 0; i < affectedSubplots.length; i++) {\n            updateSubplot(affectedSubplots[i], progress);\n        }\n\n        if(t2 - t1 > transitionOpts.duration) {\n            transitionComplete();\n            raf = window.cancelAnimationFrame(doFrame);\n        } else {\n            raf = window.requestAnimationFrame(doFrame);\n        }\n    }\n\n    t1 = Date.now();\n    raf = window.requestAnimationFrame(doFrame);\n\n    return Promise.resolve();\n};\n\n},{\"../../components/drawing\":595,\"../../registry\":828,\"./axes\":745,\"./constants\":751,\"d3\":148}],769:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar autoType = _dereq_('./axis_autotype');\n\n/*\n *  data: the plot data to use in choosing auto type\n *  name: axis object name (ie 'xaxis') if one should be stored\n */\nmodule.exports = function handleTypeDefaults(containerIn, containerOut, coerce, options) {\n    var axType = coerce('type', (options.splomStash || {}).type);\n\n    if(axType === '-') {\n        setAutoType(containerOut, options.data);\n\n        if(containerOut.type === '-') {\n            containerOut.type = 'linear';\n        } else {\n            // copy autoType back to input axis\n            // note that if this object didn't exist\n            // in the input layout, we have to put it in\n            // this happens in the main supplyDefaults function\n            containerIn.type = containerOut.type;\n        }\n    }\n};\n\nfunction setAutoType(ax, data) {\n    // new logic: let people specify any type they want,\n    // only autotype if type is '-'\n    if(ax.type !== '-') return;\n\n    var id = ax._id;\n    var axLetter = id.charAt(0);\n\n    // support 3d\n    if(id.indexOf('scene') !== -1) id = axLetter;\n\n    var d0 = getFirstNonEmptyTrace(data, id, axLetter);\n    if(!d0) return;\n\n    // first check for histograms, as the count direction\n    // should always default to a linear axis\n    if(d0.type === 'histogram' &&\n            axLetter === {v: 'y', h: 'x'}[d0.orientation || 'v']) {\n        ax.type = 'linear';\n        return;\n    }\n\n    var calAttr = axLetter + 'calendar';\n    var calendar = d0[calAttr];\n    var i;\n\n    // check all boxes on this x axis to see\n    // if they're dates, numbers, or categories\n    if(isBoxWithoutPositionCoords(d0, axLetter)) {\n        var posLetter = getBoxPosLetter(d0);\n        var boxPositions = [];\n\n        for(i = 0; i < data.length; i++) {\n            var trace = data[i];\n            if(!Registry.traceIs(trace, 'box-violin') ||\n               (trace[axLetter + 'axis'] || axLetter) !== id) continue;\n\n            if(trace[posLetter] !== undefined) boxPositions.push(trace[posLetter][0]);\n            else if(trace.name !== undefined) boxPositions.push(trace.name);\n            else boxPositions.push('text');\n\n            if(trace[calAttr] !== calendar) calendar = undefined;\n        }\n\n        ax.type = autoType(boxPositions, calendar);\n    }\n    else if(d0.type === 'splom') {\n        var dimensions = d0.dimensions;\n        var diag = d0._diag;\n        for(i = 0; i < dimensions.length; i++) {\n            var dim = dimensions[i];\n            if(dim.visible && (diag[i][0] === id || diag[i][1] === id)) {\n                ax.type = autoType(dim.values, calendar);\n                break;\n            }\n        }\n    }\n    else {\n        ax.type = autoType(d0[axLetter] || [d0[axLetter + '0']], calendar);\n    }\n}\n\nfunction getFirstNonEmptyTrace(data, id, axLetter) {\n    for(var i = 0; i < data.length; i++) {\n        var trace = data[i];\n\n        if(trace.type === 'splom' &&\n                trace._length > 0 &&\n                (trace['_' + axLetter + 'axes'] || {})[id]\n        ) {\n            return trace;\n        }\n\n        if((trace[axLetter + 'axis'] || axLetter) === id) {\n            if(isBoxWithoutPositionCoords(trace, axLetter)) {\n                return trace;\n            }\n            else if((trace[axLetter] || []).length || trace[axLetter + '0']) {\n                return trace;\n            }\n        }\n    }\n}\n\nfunction getBoxPosLetter(trace) {\n    return {v: 'x', h: 'y'}[trace.orientation || 'v'];\n}\n\nfunction isBoxWithoutPositionCoords(trace, axLetter) {\n    var posLetter = getBoxPosLetter(trace),\n        isBox = Registry.traceIs(trace, 'box-violin'),\n        isCandlestick = Registry.traceIs(trace._fullInput || {}, 'candlestick');\n\n    return (\n        isBox &&\n        !isCandlestick &&\n        axLetter === posLetter &&\n        trace[posLetter] === undefined &&\n        trace[posLetter + '0'] === undefined\n    );\n}\n\n},{\"../../registry\":828,\"./axis_autotype\":746}],770:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../registry');\nvar Lib = _dereq_('../lib');\n\n/*\n * Create or update an observer. This function is designed to be\n * idempotent so that it can be called over and over as the component\n * updates, and will attach and detach listeners as needed.\n *\n * @param {optional object} container\n *      An object on which the observer is stored. This is the mechanism\n *      by which it is idempotent. If it already exists, another won't be\n *      added. Each time it's called, the value lookup table is updated.\n * @param {array} commandList\n *      An array of commands, following either `buttons` of `updatemenus`\n *      or `steps` of `sliders`.\n * @param {function} onchange\n *      A listener called when the value is changed. Receives data object\n *      with information about the new state.\n */\nexports.manageCommandObserver = function(gd, container, commandList, onchange) {\n    var ret = {};\n    var enabled = true;\n\n    if(container && container._commandObserver) {\n        ret = container._commandObserver;\n    }\n\n    if(!ret.cache) {\n        ret.cache = {};\n    }\n\n    // Either create or just recompute this:\n    ret.lookupTable = {};\n\n    var binding = exports.hasSimpleAPICommandBindings(gd, commandList, ret.lookupTable);\n\n    if(container && container._commandObserver) {\n        if(!binding) {\n            // If container exists and there are no longer any bindings,\n            // remove existing:\n            if(container._commandObserver.remove) {\n                container._commandObserver.remove();\n                container._commandObserver = null;\n                return ret;\n            }\n        } else {\n            // If container exists and there *are* bindings, then the lookup\n            // table should have been updated and check is already attached,\n            // so there's nothing to be done:\n            return ret;\n\n\n        }\n    }\n\n    // Determine whether there's anything to do for this binding:\n\n    if(binding) {\n        // Build the cache:\n        bindingValueHasChanged(gd, binding, ret.cache);\n\n        ret.check = function check() {\n            if(!enabled) return;\n\n            var update = bindingValueHasChanged(gd, binding, ret.cache);\n\n            if(update.changed && onchange) {\n                // Disable checks for the duration of this command in order to avoid\n                // infinite loops:\n                if(ret.lookupTable[update.value] !== undefined) {\n                    ret.disable();\n                    Promise.resolve(onchange({\n                        value: update.value,\n                        type: binding.type,\n                        prop: binding.prop,\n                        traces: binding.traces,\n                        index: ret.lookupTable[update.value]\n                    })).then(ret.enable, ret.enable);\n                }\n            }\n\n            return update.changed;\n        };\n\n        var checkEvents = [\n            'plotly_relayout',\n            'plotly_redraw',\n            'plotly_restyle',\n            'plotly_update',\n            'plotly_animatingframe',\n            'plotly_afterplot'\n        ];\n\n        for(var i = 0; i < checkEvents.length; i++) {\n            gd._internalOn(checkEvents[i], ret.check);\n        }\n\n        ret.remove = function() {\n            for(var i = 0; i < checkEvents.length; i++) {\n                gd._removeInternalListener(checkEvents[i], ret.check);\n            }\n        };\n    } else {\n        // TODO: It'd be really neat to actually give a *reason* for this, but at least a warning\n        // is a start\n        Lib.log('Unable to automatically bind plot updates to API command');\n\n        ret.lookupTable = {};\n        ret.remove = function() {};\n    }\n\n    ret.disable = function disable() {\n        enabled = false;\n    };\n\n    ret.enable = function enable() {\n        enabled = true;\n    };\n\n    if(container) {\n        container._commandObserver = ret;\n    }\n\n    return ret;\n};\n\n/*\n * This function checks to see if an array of objects containing\n * method and args properties is compatible with automatic two-way\n * binding. The criteria right now are that\n *\n *   1. multiple traces may be affected\n *   2. only one property may be affected\n *   3. the same property must be affected by all commands\n */\nexports.hasSimpleAPICommandBindings = function(gd, commandList, bindingsByValue) {\n    var i;\n    var n = commandList.length;\n\n    var refBinding;\n\n    for(i = 0; i < n; i++) {\n        var binding;\n        var command = commandList[i];\n        var method = command.method;\n        var args = command.args;\n\n        if(!Array.isArray(args)) args = [];\n\n        // If any command has no method, refuse to bind:\n        if(!method) {\n            return false;\n        }\n        var bindings = exports.computeAPICommandBindings(gd, method, args);\n\n        // Right now, handle one and *only* one property being set:\n        if(bindings.length !== 1) {\n            return false;\n        }\n\n        if(!refBinding) {\n            refBinding = bindings[0];\n            if(Array.isArray(refBinding.traces)) {\n                refBinding.traces.sort();\n            }\n        } else {\n            binding = bindings[0];\n            if(binding.type !== refBinding.type) {\n                return false;\n            }\n            if(binding.prop !== refBinding.prop) {\n                return false;\n            }\n            if(Array.isArray(refBinding.traces)) {\n                if(Array.isArray(binding.traces)) {\n                    binding.traces.sort();\n                    for(var j = 0; j < refBinding.traces.length; j++) {\n                        if(refBinding.traces[j] !== binding.traces[j]) {\n                            return false;\n                        }\n                    }\n                } else {\n                    return false;\n                }\n            } else {\n                if(binding.prop !== refBinding.prop) {\n                    return false;\n                }\n            }\n        }\n\n        binding = bindings[0];\n        var value = binding.value;\n        if(Array.isArray(value)) {\n            if(value.length === 1) {\n                value = value[0];\n            } else {\n                return false;\n            }\n        }\n        if(bindingsByValue) {\n            bindingsByValue[value] = i;\n        }\n    }\n\n    return refBinding;\n};\n\nfunction bindingValueHasChanged(gd, binding, cache) {\n    var container, value, obj;\n    var changed = false;\n\n    if(binding.type === 'data') {\n        // If it's data, we need to get a trace. Based on the limited scope\n        // of what we cover, we can just take the first trace from the list,\n        // or otherwise just the first trace:\n        container = gd._fullData[binding.traces !== null ? binding.traces[0] : 0];\n    } else if(binding.type === 'layout') {\n        container = gd._fullLayout;\n    } else {\n        return false;\n    }\n\n    value = Lib.nestedProperty(container, binding.prop).get();\n\n    obj = cache[binding.type] = cache[binding.type] || {};\n\n    if(obj.hasOwnProperty(binding.prop)) {\n        if(obj[binding.prop] !== value) {\n            changed = true;\n        }\n    }\n\n    obj[binding.prop] = value;\n\n    return {\n        changed: changed,\n        value: value\n    };\n}\n\n/*\n * Execute an API command. There's really not much to this; it just provides\n * a common hook so that implementations don't need to be synchronized across\n * multiple components with the ability to invoke API commands.\n *\n * @param {string} method\n *      The name of the plotly command to execute. Must be one of 'animate',\n *      'restyle', 'relayout', 'update'.\n * @param {array} args\n *      A list of arguments passed to the API command\n */\nexports.executeAPICommand = function(gd, method, args) {\n    if(method === 'skip') return Promise.resolve();\n\n    var _method = Registry.apiMethodRegistry[method];\n    var allArgs = [gd];\n    if(!Array.isArray(args)) args = [];\n\n    for(var i = 0; i < args.length; i++) {\n        allArgs.push(args[i]);\n    }\n\n    return _method.apply(null, allArgs).catch(function(err) {\n        Lib.warn('API call to Plotly.' + method + ' rejected.', err);\n        return Promise.reject(err);\n    });\n};\n\nexports.computeAPICommandBindings = function(gd, method, args) {\n    var bindings;\n\n    if(!Array.isArray(args)) args = [];\n\n    switch(method) {\n        case 'restyle':\n            bindings = computeDataBindings(gd, args);\n            break;\n        case 'relayout':\n            bindings = computeLayoutBindings(gd, args);\n            break;\n        case 'update':\n            bindings = computeDataBindings(gd, [args[0], args[2]])\n                .concat(computeLayoutBindings(gd, [args[1]]));\n            break;\n        case 'animate':\n            bindings = computeAnimateBindings(gd, args);\n            break;\n        default:\n            // This is the case where intelligent logic about what affects\n            // this command is not implemented. It causes no ill effects.\n            // For example, addFrames simply won't bind to a control component.\n            bindings = [];\n    }\n    return bindings;\n};\n\nfunction computeAnimateBindings(gd, args) {\n    // We'll assume that the only relevant modification an animation\n    // makes that's meaningfully tracked is the frame:\n    if(Array.isArray(args[0]) && args[0].length === 1 && ['string', 'number'].indexOf(typeof args[0][0]) !== -1) {\n        return [{type: 'layout', prop: '_currentFrame', value: args[0][0].toString()}];\n    } else {\n        return [];\n    }\n}\n\nfunction computeLayoutBindings(gd, args) {\n    var bindings = [];\n\n    var astr = args[0];\n    var aobj = {};\n    if(typeof astr === 'string') {\n        aobj[astr] = args[1];\n    } else if(Lib.isPlainObject(astr)) {\n        aobj = astr;\n    } else {\n        return bindings;\n    }\n\n    crawl(aobj, function(path, attrName, attr) {\n        bindings.push({type: 'layout', prop: path, value: attr});\n    }, '', 0);\n\n    return bindings;\n}\n\nfunction computeDataBindings(gd, args) {\n    var traces, astr, val, aobj;\n    var bindings = [];\n\n    // Logic copied from Plotly.restyle:\n    astr = args[0];\n    val = args[1];\n    traces = args[2];\n    aobj = {};\n    if(typeof astr === 'string') {\n        aobj[astr] = val;\n    } else if(Lib.isPlainObject(astr)) {\n        // the 3-arg form\n        aobj = astr;\n\n        if(traces === undefined) {\n            traces = val;\n        }\n    } else {\n        return bindings;\n    }\n\n    if(traces === undefined) {\n        // Explicitly assign this to null instead of undefined:\n        traces = null;\n    }\n\n    crawl(aobj, function(path, attrName, attr) {\n        var thisTraces;\n        if(Array.isArray(attr)) {\n            var nAttr = Math.min(attr.length, gd.data.length);\n            if(traces) {\n                nAttr = Math.min(nAttr, traces.length);\n            }\n            thisTraces = [];\n            for(var j = 0; j < nAttr; j++) {\n                thisTraces[j] = traces ? traces[j] : j;\n            }\n        } else {\n            thisTraces = traces ? traces.slice(0) : null;\n        }\n\n        // Convert [7] to just 7 when traces is null:\n        if(thisTraces === null) {\n            if(Array.isArray(attr)) {\n                attr = attr[0];\n            }\n        } else if(Array.isArray(thisTraces)) {\n            if(!Array.isArray(attr)) {\n                var tmp = attr;\n                attr = [];\n                for(var i = 0; i < thisTraces.length; i++) {\n                    attr[i] = tmp;\n                }\n            }\n            attr.length = Math.min(thisTraces.length, attr.length);\n        }\n\n        bindings.push({\n            type: 'data',\n            prop: path,\n            traces: thisTraces,\n            value: attr\n        });\n    }, '', 0);\n\n    return bindings;\n}\n\nfunction crawl(attrs, callback, path, depth) {\n    Object.keys(attrs).forEach(function(attrName) {\n        var attr = attrs[attrName];\n\n        if(attrName[0] === '_') return;\n\n        var thisPath = path + (depth > 0 ? '.' : '') + attrName;\n\n        if(Lib.isPlainObject(attr)) {\n            crawl(attr, callback, thisPath, depth + 1);\n        } else {\n            // Only execute the callback on leaf nodes:\n            callback(thisPath, attrName, attr);\n        }\n    });\n}\n\n},{\"../lib\":696,\"../registry\":828}],771:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar extendFlat = _dereq_('../lib/extend').extendFlat;\n\n/**\n * Make a xy domain attribute group\n *\n * @param {object} opts\n *   @param {string}\n *     opts.name: name to be inserted in the default description\n *   @param {boolean}\n *     opts.trace: set to true for trace containers\n *   @param {string}\n *     opts.editType: editType for all pieces\n *   @param {boolean}\n *     opts.noGridCell: set to true to omit `row` and `column`\n *\n * @param {object} extra\n *   @param {string}\n *     extra.description: extra description. N.B we use\n *     a separate extra container to make it compatible with\n *     the compress_attributes transform.\n *\n * @return {object} attributes object containing {x,y} as specified\n */\nexports.attributes = function(opts, extra) {\n    opts = opts || {};\n    extra = extra || {};\n\n    var base = {\n        valType: 'info_array',\n        \n        editType: opts.editType,\n        items: [\n            {valType: 'number', min: 0, max: 1, editType: opts.editType},\n            {valType: 'number', min: 0, max: 1, editType: opts.editType}\n        ],\n        dflt: [0, 1]\n    };\n\n    var namePart = opts.name ? opts.name + ' ' : '';\n    var contPart = opts.trace ? 'trace ' : 'subplot ';\n    var descPart = extra.description ? ' ' + extra.description : '';\n\n    var out = {\n        x: extendFlat({}, base, {\n            \n        }),\n        y: extendFlat({}, base, {\n            \n        }),\n        editType: opts.editType\n    };\n\n    if(!opts.noGridCell) {\n        out.row = {\n            valType: 'integer',\n            min: 0,\n            dflt: 0,\n            \n            editType: opts.editType,\n            \n        };\n        out.column = {\n            valType: 'integer',\n            min: 0,\n            dflt: 0,\n            \n            editType: opts.editType,\n            \n        };\n    }\n\n    return out;\n};\n\nexports.defaults = function(containerOut, layout, coerce, dfltDomains) {\n    var dfltX = (dfltDomains && dfltDomains.x) || [0, 1];\n    var dfltY = (dfltDomains && dfltDomains.y) || [0, 1];\n\n    var grid = layout.grid;\n    if(grid) {\n        var column = coerce('domain.column');\n        if(column !== undefined) {\n            if(column < grid.columns) dfltX = grid._domains.x[column];\n            else delete containerOut.domain.column;\n        }\n\n        var row = coerce('domain.row');\n        if(row !== undefined) {\n            if(row < grid.rows) dfltY = grid._domains.y[row];\n            else delete containerOut.domain.row;\n        }\n    }\n\n    coerce('domain.x', dfltX);\n    coerce('domain.y', dfltY);\n};\n\n},{\"../lib/extend\":685}],772:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/*\n * make a font attribute group\n *\n * @param {object} opts\n *   @param {string}\n *     opts.description: where & how this font is used\n *   @param {optional bool} arrayOk:\n *     should each part (family, size, color) be arrayOk? default false.\n *   @param {string} editType:\n *     the editType for all pieces of this font\n *   @param {optional string} colorEditType:\n *     a separate editType just for color\n *\n * @return {object} attributes object containing {family, size, color} as specified\n */\nmodule.exports = function(opts) {\n    var editType = opts.editType;\n    var colorEditType = opts.colorEditType;\n    if(colorEditType === undefined) colorEditType = editType;\n    var attrs = {\n        family: {\n            valType: 'string',\n            \n            noBlank: true,\n            strict: true,\n            editType: editType,\n            \n        },\n        size: {\n            valType: 'number',\n            \n            min: 1,\n            editType: editType\n        },\n        color: {\n            valType: 'color',\n            \n            editType: colorEditType\n        },\n        editType: editType,\n        // blank strings so compress_attributes can remove\n        // TODO - that's uber hacky... better solution?\n        \n    };\n\n    if(opts.arrayOk) {\n        attrs.family.arrayOk = true;\n        attrs.size.arrayOk = true;\n        attrs.color.arrayOk = true;\n    }\n\n    return attrs;\n};\n\n},{}],773:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    _isLinkedToArray: 'frames_entry',\n\n    group: {\n        valType: 'string',\n        \n        \n    },\n    name: {\n        valType: 'string',\n        \n        \n    },\n    traces: {\n        valType: 'any',\n        \n        \n    },\n    baseframe: {\n        valType: 'string',\n        \n        \n    },\n    data: {\n        valType: 'any',\n        \n        \n    },\n    layout: {\n        valType: 'any',\n        \n        \n    }\n};\n\n},{}],774:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n// projection names to d3 function name\nexports.projNames = {\n    // d3.geo.projection\n    'equirectangular': 'equirectangular',\n    'mercator': 'mercator',\n    'orthographic': 'orthographic',\n    'natural earth': 'naturalEarth',\n    'kavrayskiy7': 'kavrayskiy7',\n    'miller': 'miller',\n    'robinson': 'robinson',\n    'eckert4': 'eckert4',\n    'azimuthal equal area': 'azimuthalEqualArea',\n    'azimuthal equidistant': 'azimuthalEquidistant',\n    'conic equal area': 'conicEqualArea',\n    'conic conformal': 'conicConformal',\n    'conic equidistant': 'conicEquidistant',\n    'gnomonic': 'gnomonic',\n    'stereographic': 'stereographic',\n    'mollweide': 'mollweide',\n    'hammer': 'hammer',\n    'transverse mercator': 'transverseMercator',\n    'albers usa': 'albersUsa',\n    'winkel tripel': 'winkel3',\n    'aitoff': 'aitoff',\n    'sinusoidal': 'sinusoidal'\n};\n\n// name of the axes\nexports.axesNames = ['lonaxis', 'lataxis'];\n\n// max longitudinal angular span (EXPERIMENTAL)\nexports.lonaxisSpan = {\n    'orthographic': 180,\n    'azimuthal equal area': 360,\n    'azimuthal equidistant': 360,\n    'conic conformal': 180,\n    'gnomonic': 160,\n    'stereographic': 180,\n    'transverse mercator': 180,\n    '*': 360\n};\n\n// max latitudinal angular span (EXPERIMENTAL)\nexports.lataxisSpan = {\n    'conic conformal': 150,\n    'stereographic': 179.5,\n    '*': 180\n};\n\n// defaults for each scope\nexports.scopeDefaults = {\n    world: {\n        lonaxisRange: [-180, 180],\n        lataxisRange: [-90, 90],\n        projType: 'equirectangular',\n        projRotate: [0, 0, 0]\n    },\n    usa: {\n        lonaxisRange: [-180, -50],\n        lataxisRange: [15, 80],\n        projType: 'albers usa'\n    },\n    europe: {\n        lonaxisRange: [-30, 60],\n        lataxisRange: [30, 85],\n        projType: 'conic conformal',\n        projRotate: [15, 0, 0],\n        projParallels: [0, 60]\n    },\n    asia: {\n        lonaxisRange: [22, 160],\n        lataxisRange: [-15, 55],\n        projType: 'mercator',\n        projRotate: [0, 0, 0]\n    },\n    africa: {\n        lonaxisRange: [-30, 60],\n        lataxisRange: [-40, 40],\n        projType: 'mercator',\n        projRotate: [0, 0, 0]\n    },\n    'north america': {\n        lonaxisRange: [-180, -45],\n        lataxisRange: [5, 85],\n        projType: 'conic conformal',\n        projRotate: [-100, 0, 0],\n        projParallels: [29.5, 45.5]\n    },\n    'south america': {\n        lonaxisRange: [-100, -30],\n        lataxisRange: [-60, 15],\n        projType: 'mercator',\n        projRotate: [0, 0, 0]\n    }\n};\n\n// angular pad to avoid rounding error around clip angles\nexports.clipPad = 1e-3;\n\n// map projection precision\nexports.precision = 0.1;\n\n// default land and water fill colors\nexports.landColor = '#F0DC82';\nexports.waterColor = '#3399FF';\n\n// locationmode to layer name\nexports.locationmodeToLayer = {\n    'ISO-3': 'countries',\n    'USA-states': 'subunits',\n    'country names': 'countries'\n};\n\n// SVG element for a sphere (use to frame maps)\nexports.sphereSVG = {type: 'Sphere'};\n\n// N.B. base layer names must be the same as in the topojson files\n\n// base layer with a fill color\nexports.fillLayers = {\n    ocean: 1,\n    land: 1,\n    lakes: 1\n};\n\n// base layer with a only a line color\nexports.lineLayers = {\n    subunits: 1,\n    countries: 1,\n    coastlines: 1,\n    rivers: 1,\n    frame: 1\n};\n\nexports.layers = [\n    'bg',\n    'ocean', 'land', 'lakes',\n    'subunits', 'countries', 'coastlines', 'rivers',\n    'lataxis', 'lonaxis', 'frame',\n    'backplot',\n    'frontplot'\n];\n\nexports.layersForChoropleth = [\n    'bg',\n    'ocean', 'land',\n    'subunits', 'countries', 'coastlines',\n    'lataxis', 'lonaxis', 'frame',\n    'backplot',\n    'rivers', 'lakes',\n    'frontplot'\n];\n\nexports.layerNameToAdjective = {\n    ocean: 'ocean',\n    land: 'land',\n    lakes: 'lake',\n    subunits: 'subunit',\n    countries: 'country',\n    coastlines: 'coastline',\n    rivers: 'river',\n    frame: 'frame'\n};\n\n},{}],775:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/* global PlotlyGeoAssets:false */\n\nvar d3 = _dereq_('d3');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\nvar Fx = _dereq_('../../components/fx');\nvar Plots = _dereq_('../plots');\nvar Axes = _dereq_('../cartesian/axes');\nvar dragElement = _dereq_('../../components/dragelement');\nvar prepSelect = _dereq_('../cartesian/select').prepSelect;\nvar selectOnClick = _dereq_('../cartesian/select').selectOnClick;\n\nvar createGeoZoom = _dereq_('./zoom');\nvar constants = _dereq_('./constants');\n\nvar topojsonUtils = _dereq_('../../lib/topojson_utils');\nvar topojsonFeature = _dereq_('topojson-client').feature;\n\n_dereq_('./projections')(d3);\n\nfunction Geo(opts) {\n    this.id = opts.id;\n    this.graphDiv = opts.graphDiv;\n    this.container = opts.container;\n    this.topojsonURL = opts.topojsonURL;\n    this.isStatic = opts.staticPlot;\n\n    this.topojsonName = null;\n    this.topojson = null;\n\n    this.projection = null;\n    this.viewInitial = null;\n    this.fitScale = null;\n    this.bounds = null;\n    this.midPt = null;\n\n    this.hasChoropleth = false;\n    this.traceHash = {};\n\n    this.layers = {};\n    this.basePaths = {};\n    this.dataPaths = {};\n    this.dataPoints = {};\n\n    this.clipDef = null;\n    this.clipRect = null;\n    this.bgRect = null;\n\n    this.makeFramework();\n}\n\nvar proto = Geo.prototype;\n\nmodule.exports = function createGeo(opts) {\n    return new Geo(opts);\n};\n\nproto.plot = function(geoCalcData, fullLayout, promises) {\n    var _this = this;\n    var geoLayout = fullLayout[this.id];\n    var topojsonNameNew = topojsonUtils.getTopojsonName(geoLayout);\n\n    if(_this.topojson === null || topojsonNameNew !== _this.topojsonName) {\n        _this.topojsonName = topojsonNameNew;\n\n        if(PlotlyGeoAssets.topojson[_this.topojsonName] === undefined) {\n            promises.push(_this.fetchTopojson().then(function(topojson) {\n                PlotlyGeoAssets.topojson[_this.topojsonName] = topojson;\n                _this.topojson = topojson;\n                _this.update(geoCalcData, fullLayout);\n            }));\n        } else {\n            _this.topojson = PlotlyGeoAssets.topojson[_this.topojsonName];\n            _this.update(geoCalcData, fullLayout);\n        }\n    } else {\n        _this.update(geoCalcData, fullLayout);\n    }\n};\n\nproto.fetchTopojson = function() {\n    var topojsonPath = topojsonUtils.getTopojsonPath(\n        this.topojsonURL,\n        this.topojsonName\n    );\n    return new Promise(function(resolve, reject) {\n        d3.json(topojsonPath, function(err, topojson) {\n            if(err) {\n                if(err.status === 404) {\n                    return reject(new Error([\n                        'plotly.js could not find topojson file at',\n                        topojsonPath, '.',\n                        'Make sure the *topojsonURL* plot config option',\n                        'is set properly.'\n                    ].join(' ')));\n                } else {\n                    return reject(new Error([\n                        'unexpected error while fetching topojson file at',\n                        topojsonPath\n                    ].join(' ')));\n                }\n            }\n            resolve(topojson);\n        });\n    });\n};\n\nproto.update = function(geoCalcData, fullLayout) {\n    var geoLayout = fullLayout[this.id];\n\n    var hasInvalidBounds = this.updateProjection(fullLayout, geoLayout);\n    if(hasInvalidBounds) return;\n\n    // important: maps with choropleth traces have a different layer order\n    this.hasChoropleth = false;\n    for(var i = 0; i < geoCalcData.length; i++) {\n        if(geoCalcData[i][0].trace.type === 'choropleth') {\n            this.hasChoropleth = true;\n            break;\n        }\n    }\n\n    if(!this.viewInitial) {\n        this.saveViewInitial(geoLayout);\n    }\n\n    this.updateBaseLayers(fullLayout, geoLayout);\n    this.updateDims(fullLayout, geoLayout);\n    this.updateFx(fullLayout, geoLayout);\n\n    Plots.generalUpdatePerTraceModule(this.graphDiv, this, geoCalcData, geoLayout);\n\n    var scatterLayer = this.layers.frontplot.select('.scatterlayer');\n    this.dataPoints.point = scatterLayer.selectAll('.point');\n    this.dataPoints.text = scatterLayer.selectAll('text');\n    this.dataPaths.line = scatterLayer.selectAll('.js-line');\n\n    var choroplethLayer = this.layers.backplot.select('.choroplethlayer');\n    this.dataPaths.choropleth = choroplethLayer.selectAll('path');\n\n    this.render();\n};\n\nproto.updateProjection = function(fullLayout, geoLayout) {\n    var gs = fullLayout._size;\n    var domain = geoLayout.domain;\n    var projLayout = geoLayout.projection;\n    var rotation = projLayout.rotation || {};\n    var center = geoLayout.center || {};\n\n    var projection = this.projection = getProjection(geoLayout);\n\n    // set 'pre-fit' projection\n    projection\n        .center([center.lon - rotation.lon, center.lat - rotation.lat])\n        .rotate([-rotation.lon, -rotation.lat, rotation.roll])\n        .parallels(projLayout.parallels);\n\n    // setup subplot extent [[x0,y0], [x1,y1]]\n    var extent = [[\n        gs.l + gs.w * domain.x[0],\n        gs.t + gs.h * (1 - domain.y[1])\n    ], [\n        gs.l + gs.w * domain.x[1],\n        gs.t + gs.h * (1 - domain.y[0])\n    ]];\n\n    var lonaxis = geoLayout.lonaxis;\n    var lataxis = geoLayout.lataxis;\n    var rangeBox = makeRangeBox(lonaxis.range, lataxis.range);\n\n    // fit projection 'scale' and 'translate' to set lon/lat ranges\n    projection.fitExtent(extent, rangeBox);\n\n    var b = this.bounds = projection.getBounds(rangeBox);\n    var s = this.fitScale = projection.scale();\n    var t = projection.translate();\n\n    if(\n        !isFinite(b[0][0]) || !isFinite(b[0][1]) ||\n        !isFinite(b[1][0]) || !isFinite(b[1][1]) ||\n        isNaN(t[0]) || isNaN(t[0])\n    ) {\n        var gd = this.graphDiv;\n        var attrToUnset = ['projection.rotation', 'center', 'lonaxis.range', 'lataxis.range'];\n        var msg = 'Invalid geo settings, relayout\\'ing to default view.';\n        var updateObj = {};\n\n        // clear all attribute that could cause invalid bounds,\n        // clear viewInitial to update reset-view behavior\n\n        for(var i = 0; i < attrToUnset.length; i++) {\n            updateObj[this.id + '.' + attrToUnset[i]] = null;\n        }\n\n        this.viewInitial = null;\n\n        Lib.warn(msg);\n        gd._promises.push(Registry.call('relayout', gd, updateObj));\n        return msg;\n    }\n\n    // px coordinates of view mid-point,\n    // useful to update `geo.center` after interactions\n    var midPt = this.midPt = [\n        (b[0][0] + b[1][0]) / 2,\n        (b[0][1] + b[1][1]) / 2\n    ];\n\n    // adjust projection to user setting\n    projection\n        .scale(projLayout.scale * s)\n        .translate([t[0] + (midPt[0] - t[0]), t[1] + (midPt[1] - t[1])])\n        .clipExtent(b);\n\n    // the 'albers usa' projection does not expose a 'center' method\n    // so here's this hack to make it respond to 'geoLayout.center'\n    if(geoLayout._isAlbersUsa) {\n        var centerPx = projection([center.lon, center.lat]);\n        var tt = projection.translate();\n\n        projection.translate([\n            tt[0] - (centerPx[0] - tt[0]),\n            tt[1] - (centerPx[1] - tt[1])\n        ]);\n    }\n};\n\nproto.updateBaseLayers = function(fullLayout, geoLayout) {\n    var _this = this;\n    var topojson = _this.topojson;\n    var layers = _this.layers;\n    var basePaths = _this.basePaths;\n\n    function isAxisLayer(d) {\n        return (d === 'lonaxis' || d === 'lataxis');\n    }\n\n    function isLineLayer(d) {\n        return Boolean(constants.lineLayers[d]);\n    }\n\n    function isFillLayer(d) {\n        return Boolean(constants.fillLayers[d]);\n    }\n\n    var allLayers = this.hasChoropleth ?\n        constants.layersForChoropleth :\n        constants.layers;\n\n    var layerData = allLayers.filter(function(d) {\n        return (isLineLayer(d) || isFillLayer(d)) ? geoLayout['show' + d] :\n            isAxisLayer(d) ? geoLayout[d].showgrid :\n            true;\n    });\n\n    var join = _this.framework.selectAll('.layer')\n        .data(layerData, String);\n\n    join.exit().each(function(d) {\n        delete layers[d];\n        delete basePaths[d];\n        d3.select(this).remove();\n    });\n\n    join.enter().append('g')\n        .attr('class', function(d) { return 'layer ' + d; })\n        .each(function(d) {\n            var layer = layers[d] = d3.select(this);\n\n            if(d === 'bg') {\n                _this.bgRect = layer.append('rect')\n                    .style('pointer-events', 'all');\n            } else if(isAxisLayer(d)) {\n                basePaths[d] = layer.append('path')\n                    .style('fill', 'none');\n            } else if(d === 'backplot') {\n                layer.append('g')\n                    .classed('choroplethlayer', true);\n            } else if(d === 'frontplot') {\n                layer.append('g')\n                    .classed('scatterlayer', true);\n            } else if(isLineLayer(d)) {\n                basePaths[d] = layer.append('path')\n                    .style('fill', 'none')\n                    .style('stroke-miterlimit', 2);\n            } else if(isFillLayer(d)) {\n                basePaths[d] = layer.append('path')\n                    .style('stroke', 'none');\n            }\n        });\n\n    join.order();\n\n    join.each(function(d) {\n        var path = basePaths[d];\n        var adj = constants.layerNameToAdjective[d];\n\n        if(d === 'frame') {\n            path.datum(constants.sphereSVG);\n        } else if(isLineLayer(d) || isFillLayer(d)) {\n            path.datum(topojsonFeature(topojson, topojson.objects[d]));\n        } else if(isAxisLayer(d)) {\n            path.datum(makeGraticule(d, geoLayout))\n                .call(Color.stroke, geoLayout[d].gridcolor)\n                .call(Drawing.dashLine, '', geoLayout[d].gridwidth);\n        }\n\n        if(isLineLayer(d)) {\n            path.call(Color.stroke, geoLayout[adj + 'color'])\n                .call(Drawing.dashLine, '', geoLayout[adj + 'width']);\n        } else if(isFillLayer(d)) {\n            path.call(Color.fill, geoLayout[adj + 'color']);\n        }\n    });\n};\n\nproto.updateDims = function(fullLayout, geoLayout) {\n    var b = this.bounds;\n    var hFrameWidth = (geoLayout.framewidth || 0) / 2;\n\n    var l = b[0][0] - hFrameWidth;\n    var t = b[0][1] - hFrameWidth;\n    var w = b[1][0] - l + hFrameWidth;\n    var h = b[1][1] - t + hFrameWidth;\n\n    Drawing.setRect(this.clipRect, l, t, w, h);\n\n    this.bgRect\n        .call(Drawing.setRect, l, t, w, h)\n        .call(Color.fill, geoLayout.bgcolor);\n\n    this.xaxis._offset = l;\n    this.xaxis._length = w;\n\n    this.yaxis._offset = t;\n    this.yaxis._length = h;\n};\n\nproto.updateFx = function(fullLayout, geoLayout) {\n    var _this = this;\n    var gd = _this.graphDiv;\n    var bgRect = _this.bgRect;\n    var dragMode = fullLayout.dragmode;\n    var clickMode = fullLayout.clickmode;\n\n    if(_this.isStatic) return;\n\n    function zoomReset() {\n        var viewInitial = _this.viewInitial;\n        var updateObj = {};\n\n        for(var k in viewInitial) {\n            updateObj[_this.id + '.' + k] = viewInitial[k];\n        }\n\n        Registry.call('relayout', gd, updateObj);\n        gd.emit('plotly_doubleclick', null);\n    }\n\n    function invert(lonlat) {\n        return _this.projection.invert([\n            lonlat[0] + _this.xaxis._offset,\n            lonlat[1] + _this.yaxis._offset\n        ]);\n    }\n\n    var fillRangeItems;\n\n    if(dragMode === 'select') {\n        fillRangeItems = function(eventData, poly) {\n            var ranges = eventData.range = {};\n            ranges[_this.id] = [\n                invert([poly.xmin, poly.ymin]),\n                invert([poly.xmax, poly.ymax])\n            ];\n        };\n    } else if(dragMode === 'lasso') {\n        fillRangeItems = function(eventData, poly, pts) {\n            var dataPts = eventData.lassoPoints = {};\n            dataPts[_this.id] = pts.filtered.map(invert);\n        };\n    }\n\n    // Note: dragOptions is needed to be declared for all dragmodes because\n    // it's the object that holds persistent selection state.\n    var dragOptions = {\n        element: _this.bgRect.node(),\n        gd: gd,\n        plotinfo: {\n            id: _this.id,\n            xaxis: _this.xaxis,\n            yaxis: _this.yaxis,\n            fillRangeItems: fillRangeItems\n        },\n        xaxes: [_this.xaxis],\n        yaxes: [_this.yaxis],\n        subplot: _this.id,\n        clickFn: function(numClicks) {\n            if(numClicks === 2) {\n                fullLayout._zoomlayer.selectAll('.select-outline').remove();\n            }\n        }\n    };\n\n    if(dragMode === 'pan') {\n        bgRect.node().onmousedown = null;\n        bgRect.call(createGeoZoom(_this, geoLayout));\n        bgRect.on('dblclick.zoom', zoomReset);\n    }\n    else if(dragMode === 'select' || dragMode === 'lasso') {\n        bgRect.on('.zoom', null);\n\n        dragOptions.prepFn = function(e, startX, startY) {\n            prepSelect(e, startX, startY, dragOptions, dragMode);\n        };\n\n        dragElement.init(dragOptions);\n    }\n\n    bgRect.on('mousemove', function() {\n        var lonlat = _this.projection.invert(d3.mouse(this));\n\n        if(!lonlat || isNaN(lonlat[0]) || isNaN(lonlat[1])) {\n            return dragElement.unhover(gd, d3.event);\n        }\n\n        _this.xaxis.p2c = function() { return lonlat[0]; };\n        _this.yaxis.p2c = function() { return lonlat[1]; };\n\n        Fx.hover(gd, d3.event, _this.id);\n    });\n\n    bgRect.on('mouseout', function() {\n        if(gd._dragging) return;\n        dragElement.unhover(gd, d3.event);\n    });\n\n    bgRect.on('click', function() {\n        // For select and lasso the dragElement is handling clicks\n        if(dragMode !== 'select' && dragMode !== 'lasso') {\n            if(clickMode.indexOf('select') > -1) {\n                selectOnClick(d3.event, gd, [_this.xaxis], [_this.yaxis],\n                  _this.id, dragOptions);\n            }\n\n            if(clickMode.indexOf('event') > -1) {\n                // TODO: like pie and mapbox, this doesn't support right-click\n                // actually this one is worse, as right-click starts a pan, or leaves\n                // select in a weird state.\n                // Also, only tangentially related, we should cancel hover during pan\n                Fx.click(gd, d3.event);\n            }\n        }\n    });\n};\n\nproto.makeFramework = function() {\n    var _this = this;\n    var fullLayout = _this.graphDiv._fullLayout;\n    var clipId = 'clip' + fullLayout._uid + _this.id;\n\n    _this.clipDef = fullLayout._clips.append('clipPath')\n        .attr('id', clipId);\n\n    _this.clipRect = _this.clipDef.append('rect');\n\n    _this.framework = d3.select(_this.container).append('g')\n        .attr('class', 'geo ' + _this.id)\n        .call(Drawing.setClipUrl, clipId);\n\n    // sane lonlat to px\n    _this.project = function(v) {\n        var px = _this.projection(v);\n        return px ?\n            [px[0] - _this.xaxis._offset, px[1] - _this.yaxis._offset] :\n            [null, null];\n    };\n\n    _this.xaxis = {\n        _id: 'x',\n        c2p: function(v) { return _this.project(v)[0]; }\n    };\n\n    _this.yaxis = {\n        _id: 'y',\n        c2p: function(v) { return _this.project(v)[1]; }\n    };\n\n    // mock axis for hover formatting\n    _this.mockAxis = {\n        type: 'linear',\n        showexponent: 'all',\n        exponentformat: 'B'\n    };\n    Axes.setConvert(_this.mockAxis, fullLayout);\n};\n\nproto.saveViewInitial = function(geoLayout) {\n    var center = geoLayout.center || {};\n    var projLayout = geoLayout.projection;\n    var rotation = projLayout.rotation || {};\n\n    if(geoLayout._isScoped) {\n        this.viewInitial = {\n            'center.lon': center.lon,\n            'center.lat': center.lat,\n            'projection.scale': projLayout.scale\n        };\n    } else if(geoLayout._isClipped) {\n        this.viewInitial = {\n            'projection.scale': projLayout.scale,\n            'projection.rotation.lon': rotation.lon,\n            'projection.rotation.lat': rotation.lat\n        };\n    } else {\n        this.viewInitial = {\n            'center.lon': center.lon,\n            'center.lat': center.lat,\n            'projection.scale': projLayout.scale,\n            'projection.rotation.lon': rotation.lon\n        };\n    }\n};\n\n// [hot code path] (re)draw all paths which depend on the projection\nproto.render = function() {\n    var projection = this.projection;\n    var pathFn = projection.getPath();\n    var k;\n\n    function translatePoints(d) {\n        var lonlatPx = projection(d.lonlat);\n        return lonlatPx ?\n            'translate(' + lonlatPx[0] + ',' + lonlatPx[1] + ')' :\n             null;\n    }\n\n    function hideShowPoints(d) {\n        return projection.isLonLatOverEdges(d.lonlat) ? 'none' : null;\n    }\n\n    for(k in this.basePaths) {\n        this.basePaths[k].attr('d', pathFn);\n    }\n\n    for(k in this.dataPaths) {\n        this.dataPaths[k].attr('d', function(d) { return pathFn(d.geojson); });\n    }\n\n    for(k in this.dataPoints) {\n        this.dataPoints[k]\n            .attr('display', hideShowPoints)\n            .attr('transform', translatePoints);\n    }\n};\n\n// Helper that wraps d3.geo[/* projection name /*]() which:\n//\n// - adds 'fitExtent' (available in d3 v4)\n// - adds 'getPath', 'getBounds' convenience methods\n// - scopes logic related to 'clipAngle'\n// - adds 'isLonLatOverEdges' method\n// - sets projection precision\n// - sets methods that aren't always defined depending\n//   on the projection type to a dummy 'd3-esque' function,\n//\n// This wrapper alleviates subsequent code of (many) annoying if-statements.\nfunction getProjection(geoLayout) {\n    var projLayout = geoLayout.projection;\n    var projType = projLayout.type;\n\n    var projection = d3.geo[constants.projNames[projType]]();\n\n    var clipAngle = geoLayout._isClipped ?\n        constants.lonaxisSpan[projType] / 2 :\n        null;\n\n    var methods = ['center', 'rotate', 'parallels', 'clipExtent'];\n    var dummyFn = function(_) { return _ ? projection : []; };\n\n    for(var i = 0; i < methods.length; i++) {\n        var m = methods[i];\n        if(typeof projection[m] !== 'function') {\n            projection[m] = dummyFn;\n        }\n    }\n\n    projection.isLonLatOverEdges = function(lonlat) {\n        if(projection(lonlat) === null) {\n            return true;\n        }\n\n        if(clipAngle) {\n            var r = projection.rotate();\n            var angle = d3.geo.distance(lonlat, [-r[0], -r[1]]);\n            var maxAngle = clipAngle * Math.PI / 180;\n            return angle > maxAngle;\n        } else {\n            return false;\n        }\n    };\n\n    projection.getPath = function() {\n        return d3.geo.path().projection(projection);\n    };\n\n    projection.getBounds = function(object) {\n        return projection.getPath().bounds(object);\n    };\n\n    // adapted from d3 v4:\n    // https://github.com/d3/d3-geo/blob/master/src/projection/fit.js\n    projection.fitExtent = function(extent, object) {\n        var w = extent[1][0] - extent[0][0];\n        var h = extent[1][1] - extent[0][1];\n        var clip = projection.clipExtent && projection.clipExtent();\n\n        projection\n            .scale(150)\n            .translate([0, 0]);\n\n        if(clip) projection.clipExtent(null);\n\n        var b = projection.getBounds(object);\n        var k = Math.min(w / (b[1][0] - b[0][0]), h / (b[1][1] - b[0][1]));\n        var x = +extent[0][0] + (w - k * (b[1][0] + b[0][0])) / 2;\n        var y = +extent[0][1] + (h - k * (b[1][1] + b[0][1])) / 2;\n\n        if(clip) projection.clipExtent(clip);\n\n        return projection\n            .scale(k * 150)\n            .translate([x, y]);\n    };\n\n    projection.precision(constants.precision);\n\n    if(clipAngle) {\n        projection.clipAngle(clipAngle - constants.clipPad);\n    }\n\n    return projection;\n}\n\nfunction makeGraticule(axisName, geoLayout) {\n    var axisLayout = geoLayout[axisName];\n    var dtick = axisLayout.dtick;\n    var scopeDefaults = constants.scopeDefaults[geoLayout.scope];\n    var lonaxisRange = scopeDefaults.lonaxisRange;\n    var lataxisRange = scopeDefaults.lataxisRange;\n    var step = axisName === 'lonaxis' ? [dtick] : [0, dtick];\n\n    return d3.geo.graticule()\n        .extent([\n            [lonaxisRange[0], lataxisRange[0]],\n            [lonaxisRange[1], lataxisRange[1]]\n        ])\n        .step(step);\n}\n\n// Returns polygon GeoJSON corresponding to lon/lat range box\n// with well-defined direction\n//\n// Note that clipPad padding is added around range to avoid aliasing.\nfunction makeRangeBox(lon, lat) {\n    var clipPad = constants.clipPad;\n    var lon0 = lon[0] + clipPad;\n    var lon1 = lon[1] - clipPad;\n    var lat0 = lat[0] + clipPad;\n    var lat1 = lat[1] - clipPad;\n\n    // to cross antimeridian w/o ambiguity\n    if(lon0 > 0 && lon1 < 0) lon1 += 360;\n\n    var dlon4 = (lon1 - lon0) / 4;\n\n    return {\n        type: 'Polygon',\n        coordinates: [[\n            [lon0, lat0],\n            [lon0, lat1],\n            [lon0 + dlon4, lat1],\n            [lon0 + 2 * dlon4, lat1],\n            [lon0 + 3 * dlon4, lat1],\n            [lon1, lat1],\n            [lon1, lat0],\n            [lon1 - dlon4, lat0],\n            [lon1 - 2 * dlon4, lat0],\n            [lon1 - 3 * dlon4, lat0],\n            [lon0, lat0]\n        ]]\n    };\n}\n\n},{\"../../components/color\":570,\"../../components/dragelement\":592,\"../../components/drawing\":595,\"../../components/fx\":612,\"../../lib\":696,\"../../lib/topojson_utils\":724,\"../../registry\":828,\"../cartesian/axes\":745,\"../cartesian/select\":763,\"../plots\":809,\"./constants\":774,\"./projections\":780,\"./zoom\":781,\"d3\":148,\"topojson-client\":517}],776:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar createGeo = _dereq_('./geo');\nvar getSubplotCalcData = _dereq_('../../plots/get_data').getSubplotCalcData;\nvar counterRegex = _dereq_('../../lib').counterRegex;\n\nvar GEO = 'geo';\n\nexports.name = GEO;\n\nexports.attr = GEO;\n\nexports.idRoot = GEO;\n\nexports.idRegex = exports.attrRegex = counterRegex(GEO);\n\nexports.attributes = _dereq_('./layout/attributes');\n\nexports.layoutAttributes = _dereq_('./layout/layout_attributes');\n\nexports.supplyLayoutDefaults = _dereq_('./layout/defaults');\n\nexports.plot = function plotGeo(gd) {\n    var fullLayout = gd._fullLayout;\n    var calcData = gd.calcdata;\n    var geoIds = fullLayout._subplots[GEO];\n\n    /**\n     * If 'plotly-geo-assets.js' is not included,\n     * initialize object to keep reference to every loaded topojson\n     */\n    if(window.PlotlyGeoAssets === undefined) {\n        window.PlotlyGeoAssets = {topojson: {}};\n    }\n\n    for(var i = 0; i < geoIds.length; i++) {\n        var geoId = geoIds[i];\n        var geoCalcData = getSubplotCalcData(calcData, GEO, geoId);\n        var geoLayout = fullLayout[geoId];\n        var geo = geoLayout._subplot;\n\n        if(!geo) {\n            geo = createGeo({\n                id: geoId,\n                graphDiv: gd,\n                container: fullLayout._geolayer.node(),\n                topojsonURL: gd._context.topojsonURL,\n                staticPlot: gd._context.staticPlot\n            });\n\n            fullLayout[geoId]._subplot = geo;\n        }\n\n        geo.plot(geoCalcData, fullLayout, gd._promises);\n    }\n};\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var oldGeoKeys = oldFullLayout._subplots[GEO] || [];\n\n    for(var i = 0; i < oldGeoKeys.length; i++) {\n        var oldGeoKey = oldGeoKeys[i];\n        var oldGeo = oldFullLayout[oldGeoKey]._subplot;\n\n        if(!newFullLayout[oldGeoKey] && !!oldGeo) {\n            oldGeo.framework.remove();\n            oldGeo.clipDef.remove();\n        }\n    }\n};\n\nexports.updateFx = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var subplotIds = fullLayout._subplots[GEO];\n\n    for(var i = 0; i < subplotIds.length; i++) {\n        var subplotLayout = fullLayout[subplotIds[i]];\n        var subplotObj = subplotLayout._subplot;\n        subplotObj.updateFx(fullLayout, subplotLayout);\n    }\n};\n\n},{\"../../lib\":696,\"../../plots/get_data\":782,\"./geo\":775,\"./layout/attributes\":777,\"./layout/defaults\":778,\"./layout/layout_attributes\":779}],777:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n    geo: {\n        valType: 'subplotid',\n        \n        dflt: 'geo',\n        editType: 'calc',\n        \n    }\n};\n\n},{}],778:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar handleSubplotDefaults = _dereq_('../../subplot_defaults');\nvar constants = _dereq_('../constants');\nvar layoutAttributes = _dereq_('./layout_attributes');\n\nvar axesNames = constants.axesNames;\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut, fullData) {\n    handleSubplotDefaults(layoutIn, layoutOut, fullData, {\n        type: 'geo',\n        attributes: layoutAttributes,\n        handleDefaults: handleGeoDefaults,\n        partition: 'y'\n    });\n};\n\nfunction handleGeoDefaults(geoLayoutIn, geoLayoutOut, coerce) {\n    var show;\n\n    var resolution = coerce('resolution');\n    var scope = coerce('scope');\n    var scopeParams = constants.scopeDefaults[scope];\n\n    var projType = coerce('projection.type', scopeParams.projType);\n    var isAlbersUsa = geoLayoutOut._isAlbersUsa = projType === 'albers usa';\n\n    // no other scopes are allowed for 'albers usa' projection\n    if(isAlbersUsa) scope = geoLayoutOut.scope = 'usa';\n\n    var isScoped = geoLayoutOut._isScoped = (scope !== 'world');\n    var isConic = geoLayoutOut._isConic = projType.indexOf('conic') !== -1;\n    geoLayoutOut._isClipped = !!constants.lonaxisSpan[projType];\n\n    for(var i = 0; i < axesNames.length; i++) {\n        var axisName = axesNames[i];\n        var dtickDflt = [30, 10][i];\n        var rangeDflt;\n\n        if(isScoped) {\n            rangeDflt = scopeParams[axisName + 'Range'];\n        } else {\n            var dfltSpans = constants[axisName + 'Span'];\n            var hSpan = (dfltSpans[projType] || dfltSpans['*']) / 2;\n            var rot = coerce(\n                'projection.rotation.' + axisName.substr(0, 3),\n                scopeParams.projRotate[i]\n            );\n            rangeDflt = [rot - hSpan, rot + hSpan];\n        }\n\n        var range = coerce(axisName + '.range', rangeDflt);\n\n        coerce(axisName + '.tick0', range[0]);\n        coerce(axisName + '.dtick', dtickDflt);\n\n        show = coerce(axisName + '.showgrid');\n        if(show) {\n            coerce(axisName + '.gridcolor');\n            coerce(axisName + '.gridwidth');\n        }\n    }\n\n    var lonRange = geoLayoutOut.lonaxis.range;\n    var latRange = geoLayoutOut.lataxis.range;\n\n    // to cross antimeridian w/o ambiguity\n    var lon0 = lonRange[0];\n    var lon1 = lonRange[1];\n    if(lon0 > 0 && lon1 < 0) lon1 += 360;\n\n    var centerLon = (lon0 + lon1) / 2;\n    var projLon;\n\n    if(!isAlbersUsa) {\n        var dfltProjRotate = isScoped ? scopeParams.projRotate : [centerLon, 0, 0];\n\n        projLon = coerce('projection.rotation.lon', dfltProjRotate[0]);\n        coerce('projection.rotation.lat', dfltProjRotate[1]);\n        coerce('projection.rotation.roll', dfltProjRotate[2]);\n\n        show = coerce('showcoastlines', !isScoped);\n        if(show) {\n            coerce('coastlinecolor');\n            coerce('coastlinewidth');\n        }\n\n        show = coerce('showocean');\n        if(show) coerce('oceancolor');\n    }\n\n    var centerLonDflt;\n    var centerLatDflt;\n\n    if(isAlbersUsa) {\n        // 'albers usa' does not have a 'center',\n        // these values were found using via:\n        //   projection.invert([geoLayout.center.lon, geoLayoutIn.center.lat])\n        centerLonDflt = -96.6;\n        centerLatDflt = 38.7;\n    } else {\n        centerLonDflt = isScoped ? centerLon : projLon;\n        centerLatDflt = (latRange[0] + latRange[1]) / 2;\n    }\n\n    coerce('center.lon', centerLonDflt);\n    coerce('center.lat', centerLatDflt);\n\n    if(isConic) {\n        var dfltProjParallels = scopeParams.projParallels || [0, 60];\n        coerce('projection.parallels', dfltProjParallels);\n    }\n\n    coerce('projection.scale');\n\n    show = coerce('showland');\n    if(show) coerce('landcolor');\n\n    show = coerce('showlakes');\n    if(show) coerce('lakecolor');\n\n    show = coerce('showrivers');\n    if(show) {\n        coerce('rivercolor');\n        coerce('riverwidth');\n    }\n\n    show = coerce('showcountries', isScoped && scope !== 'usa');\n    if(show) {\n        coerce('countrycolor');\n        coerce('countrywidth');\n    }\n\n    if(scope === 'usa' || (scope === 'north america' && resolution === 50)) {\n        // Only works for:\n        //   USA states at 110m\n        //   USA states + Canada provinces at 50m\n        coerce('showsubunits', true);\n        coerce('subunitcolor');\n        coerce('subunitwidth');\n    }\n\n    if(!isScoped) {\n        // Does not work in non-world scopes\n        show = coerce('showframe', true);\n        if(show) {\n            coerce('framecolor');\n            coerce('framewidth');\n        }\n    }\n\n    coerce('bgcolor');\n}\n\n},{\"../../subplot_defaults\":823,\"../constants\":774,\"./layout_attributes\":779}],779:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorAttrs = _dereq_('../../../components/color/attributes');\nvar domainAttrs = _dereq_('../../domain').attributes;\nvar constants = _dereq_('../constants');\nvar overrideAll = _dereq_('../../../plot_api/edit_types').overrideAll;\n\nvar geoAxesAttrs = {\n    range: {\n        valType: 'info_array',\n        \n        items: [\n            {valType: 'number'},\n            {valType: 'number'}\n        ],\n        \n    },\n    showgrid: {\n        valType: 'boolean',\n        \n        dflt: false,\n        \n    },\n    tick0: {\n        valType: 'number',\n        \n        \n    },\n    dtick: {\n        valType: 'number',\n        \n        \n    },\n    gridcolor: {\n        valType: 'color',\n        \n        dflt: colorAttrs.lightLine,\n        \n    },\n    gridwidth: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 1,\n        \n    }\n};\n\nmodule.exports = overrideAll({\n    domain: domainAttrs({name: 'geo'}, {\n        \n    }),\n\n    resolution: {\n        valType: 'enumerated',\n        values: [110, 50],\n        \n        dflt: 110,\n        coerceNumber: true,\n        \n    },\n    scope: {\n        valType: 'enumerated',\n        \n        values: Object.keys(constants.scopeDefaults),\n        dflt: 'world',\n        \n    },\n    projection: {\n        type: {\n            valType: 'enumerated',\n            \n            values: Object.keys(constants.projNames),\n            \n        },\n        rotation: {\n            lon: {\n                valType: 'number',\n                \n                \n            },\n            lat: {\n                valType: 'number',\n                \n                \n            },\n            roll: {\n                valType: 'number',\n                \n                \n            }\n        },\n        parallels: {\n            valType: 'info_array',\n            \n            items: [\n                {valType: 'number'},\n                {valType: 'number'}\n            ],\n            \n        },\n        scale: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 1,\n            \n        },\n    },\n    center: {\n        lon: {\n            valType: 'number',\n            \n            \n        },\n        lat: {\n            valType: 'number',\n            \n            \n        }\n    },\n    showcoastlines: {\n        valType: 'boolean',\n        \n        \n    },\n    coastlinecolor: {\n        valType: 'color',\n        \n        dflt: colorAttrs.defaultLine,\n        \n    },\n    coastlinewidth: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 1,\n        \n    },\n    showland: {\n        valType: 'boolean',\n        \n        dflt: false,\n        \n    },\n    landcolor: {\n        valType: 'color',\n        \n        dflt: constants.landColor,\n        \n    },\n    showocean: {\n        valType: 'boolean',\n        \n        dflt: false,\n        \n    },\n    oceancolor: {\n        valType: 'color',\n        \n        dflt: constants.waterColor,\n        \n    },\n    showlakes: {\n        valType: 'boolean',\n        \n        dflt: false,\n        \n    },\n    lakecolor: {\n        valType: 'color',\n        \n        dflt: constants.waterColor,\n        \n    },\n    showrivers: {\n        valType: 'boolean',\n        \n        dflt: false,\n        \n    },\n    rivercolor: {\n        valType: 'color',\n        \n        dflt: constants.waterColor,\n        \n    },\n    riverwidth: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 1,\n        \n    },\n    showcountries: {\n        valType: 'boolean',\n        \n        \n    },\n    countrycolor: {\n        valType: 'color',\n        \n        dflt: colorAttrs.defaultLine,\n        \n    },\n    countrywidth: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 1,\n        \n    },\n    showsubunits: {\n        valType: 'boolean',\n        \n        \n    },\n    subunitcolor: {\n        valType: 'color',\n        \n        dflt: colorAttrs.defaultLine,\n        \n    },\n    subunitwidth: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 1,\n        \n    },\n    showframe: {\n        valType: 'boolean',\n        \n        \n    },\n    framecolor: {\n        valType: 'color',\n        \n        dflt: colorAttrs.defaultLine,\n        \n    },\n    framewidth: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 1,\n        \n    },\n    bgcolor: {\n        valType: 'color',\n        \n        dflt: colorAttrs.background,\n        \n    },\n    lonaxis: geoAxesAttrs,\n    lataxis: geoAxesAttrs\n}, 'plot', 'from-root');\n\n},{\"../../../components/color/attributes\":569,\"../../../plot_api/edit_types\":728,\"../../domain\":771,\"../constants\":774}],780:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n/*\n * Generated by https://github.com/etpinard/d3-geo-projection-picker\n *\n * which is hand-picks projection from https://github.com/d3/d3-geo-projection\n *\n * into a CommonJS require-able module.\n */\n\n'use strict';\n\n/* eslint-disable */\n\nfunction addProjectionsToD3(d3) {\n  d3.geo.project = function(object, projection) {\n    var stream = projection.stream;\n    if (!stream) throw new Error(\"not yet supported\");\n    return (object && d3_geo_projectObjectType.hasOwnProperty(object.type) ? d3_geo_projectObjectType[object.type] : d3_geo_projectGeometry)(object, stream);\n  };\n  function d3_geo_projectFeature(object, stream) {\n    return {\n      type: \"Feature\",\n      id: object.id,\n      properties: object.properties,\n      geometry: d3_geo_projectGeometry(object.geometry, stream)\n    };\n  }\n  function d3_geo_projectGeometry(geometry, stream) {\n    if (!geometry) return null;\n    if (geometry.type === \"GeometryCollection\") return {\n      type: \"GeometryCollection\",\n      geometries: object.geometries.map(function(geometry) {\n        return d3_geo_projectGeometry(geometry, stream);\n      })\n    };\n    if (!d3_geo_projectGeometryType.hasOwnProperty(geometry.type)) return null;\n    var sink = d3_geo_projectGeometryType[geometry.type];\n    d3.geo.stream(geometry, stream(sink));\n    return sink.result();\n  }\n  var d3_geo_projectObjectType = {\n    Feature: d3_geo_projectFeature,\n    FeatureCollection: function(object, stream) {\n      return {\n        type: \"FeatureCollection\",\n        features: object.features.map(function(feature) {\n          return d3_geo_projectFeature(feature, stream);\n        })\n      };\n    }\n  };\n  var d3_geo_projectPoints = [], d3_geo_projectLines = [];\n  var d3_geo_projectPoint = {\n    point: function(x, y) {\n      d3_geo_projectPoints.push([ x, y ]);\n    },\n    result: function() {\n      var result = !d3_geo_projectPoints.length ? null : d3_geo_projectPoints.length < 2 ? {\n        type: \"Point\",\n        coordinates: d3_geo_projectPoints[0]\n      } : {\n        type: \"MultiPoint\",\n        coordinates: d3_geo_projectPoints\n      };\n      d3_geo_projectPoints = [];\n      return result;\n    }\n  };\n  var d3_geo_projectLine = {\n    lineStart: d3_geo_projectNoop,\n    point: function(x, y) {\n      d3_geo_projectPoints.push([ x, y ]);\n    },\n    lineEnd: function() {\n      if (d3_geo_projectPoints.length) d3_geo_projectLines.push(d3_geo_projectPoints), \n      d3_geo_projectPoints = [];\n    },\n    result: function() {\n      var result = !d3_geo_projectLines.length ? null : d3_geo_projectLines.length < 2 ? {\n        type: \"LineString\",\n        coordinates: d3_geo_projectLines[0]\n      } : {\n        type: \"MultiLineString\",\n        coordinates: d3_geo_projectLines\n      };\n      d3_geo_projectLines = [];\n      return result;\n    }\n  };\n  var d3_geo_projectPolygon = {\n    polygonStart: d3_geo_projectNoop,\n    lineStart: d3_geo_projectNoop,\n    point: function(x, y) {\n      d3_geo_projectPoints.push([ x, y ]);\n    },\n    lineEnd: function() {\n      var n = d3_geo_projectPoints.length;\n      if (n) {\n        do d3_geo_projectPoints.push(d3_geo_projectPoints[0].slice()); while (++n < 4);\n        d3_geo_projectLines.push(d3_geo_projectPoints), d3_geo_projectPoints = [];\n      }\n    },\n    polygonEnd: d3_geo_projectNoop,\n    result: function() {\n      if (!d3_geo_projectLines.length) return null;\n      var polygons = [], holes = [];\n      d3_geo_projectLines.forEach(function(ring) {\n        if (d3_geo_projectClockwise(ring)) polygons.push([ ring ]); else holes.push(ring);\n      });\n      holes.forEach(function(hole) {\n        var point = hole[0];\n        polygons.some(function(polygon) {\n          if (d3_geo_projectContains(polygon[0], point)) {\n            polygon.push(hole);\n            return true;\n          }\n        }) || polygons.push([ hole ]);\n      });\n      d3_geo_projectLines = [];\n      return !polygons.length ? null : polygons.length > 1 ? {\n        type: \"MultiPolygon\",\n        coordinates: polygons\n      } : {\n        type: \"Polygon\",\n        coordinates: polygons[0]\n      };\n    }\n  };\n  var d3_geo_projectGeometryType = {\n    Point: d3_geo_projectPoint,\n    MultiPoint: d3_geo_projectPoint,\n    LineString: d3_geo_projectLine,\n    MultiLineString: d3_geo_projectLine,\n    Polygon: d3_geo_projectPolygon,\n    MultiPolygon: d3_geo_projectPolygon,\n    Sphere: d3_geo_projectPolygon\n  };\n  function d3_geo_projectNoop() {}\n  function d3_geo_projectClockwise(ring) {\n    if ((n = ring.length) < 4) return false;\n    var i = 0, n, area = ring[n - 1][1] * ring[0][0] - ring[n - 1][0] * ring[0][1];\n    while (++i < n) area += ring[i - 1][1] * ring[i][0] - ring[i - 1][0] * ring[i][1];\n    return area <= 0;\n  }\n  function d3_geo_projectContains(ring, point) {\n    var x = point[0], y = point[1], contains = false;\n    for (var i = 0, n = ring.length, j = n - 1; i < n; j = i++) {\n      var pi = ring[i], xi = pi[0], yi = pi[1], pj = ring[j], xj = pj[0], yj = pj[1];\n      if (yi > y ^ yj > y && x < (xj - xi) * (y - yi) / (yj - yi) + xi) contains = !contains;\n    }\n    return contains;\n  }\n  var ε = 1e-6, ε2 = ε * ε, π = Math.PI, halfπ = π / 2, sqrtπ = Math.sqrt(π), radians = π / 180, degrees = 180 / π;\n  function sinci(x) {\n    return x ? x / Math.sin(x) : 1;\n  }\n  function sgn(x) {\n    return x > 0 ? 1 : x < 0 ? -1 : 0;\n  }\n  function asin(x) {\n    return x > 1 ? halfπ : x < -1 ? -halfπ : Math.asin(x);\n  }\n  function acos(x) {\n    return x > 1 ? 0 : x < -1 ? π : Math.acos(x);\n  }\n  function asqrt(x) {\n    return x > 0 ? Math.sqrt(x) : 0;\n  }\n  var projection = d3.geo.projection, projectionMutator = d3.geo.projectionMutator;\n  d3.geo.interrupt = function(project) {\n    var lobes = [ [ [ [ -π, 0 ], [ 0, halfπ ], [ π, 0 ] ] ], [ [ [ -π, 0 ], [ 0, -halfπ ], [ π, 0 ] ] ] ];\n    var bounds;\n    function forward(λ, φ) {\n      var sign = φ < 0 ? -1 : +1, hemilobes = lobes[+(φ < 0)];\n      for (var i = 0, n = hemilobes.length - 1; i < n && λ > hemilobes[i][2][0]; ++i) ;\n      var coordinates = project(λ - hemilobes[i][1][0], φ);\n      coordinates[0] += project(hemilobes[i][1][0], sign * φ > sign * hemilobes[i][0][1] ? hemilobes[i][0][1] : φ)[0];\n      return coordinates;\n    }\n    function reset() {\n      bounds = lobes.map(function(hemilobes) {\n        return hemilobes.map(function(lobe) {\n          var x0 = project(lobe[0][0], lobe[0][1])[0], x1 = project(lobe[2][0], lobe[2][1])[0], y0 = project(lobe[1][0], lobe[0][1])[1], y1 = project(lobe[1][0], lobe[1][1])[1], t;\n          if (y0 > y1) t = y0, y0 = y1, y1 = t;\n          return [ [ x0, y0 ], [ x1, y1 ] ];\n        });\n      });\n    }\n    if (project.invert) forward.invert = function(x, y) {\n      var hemibounds = bounds[+(y < 0)], hemilobes = lobes[+(y < 0)];\n      for (var i = 0, n = hemibounds.length; i < n; ++i) {\n        var b = hemibounds[i];\n        if (b[0][0] <= x && x < b[1][0] && b[0][1] <= y && y < b[1][1]) {\n          var coordinates = project.invert(x - project(hemilobes[i][1][0], 0)[0], y);\n          coordinates[0] += hemilobes[i][1][0];\n          return pointEqual(forward(coordinates[0], coordinates[1]), [ x, y ]) ? coordinates : null;\n        }\n      }\n    };\n    var projection = d3.geo.projection(forward), stream_ = projection.stream;\n    projection.stream = function(stream) {\n      var rotate = projection.rotate(), rotateStream = stream_(stream), sphereStream = (projection.rotate([ 0, 0 ]), \n      stream_(stream));\n      projection.rotate(rotate);\n      rotateStream.sphere = function() {\n        d3.geo.stream(sphere(), sphereStream);\n      };\n      return rotateStream;\n    };\n    projection.lobes = function(_) {\n      if (!arguments.length) return lobes.map(function(lobes) {\n        return lobes.map(function(lobe) {\n          return [ [ lobe[0][0] * 180 / π, lobe[0][1] * 180 / π ], [ lobe[1][0] * 180 / π, lobe[1][1] * 180 / π ], [ lobe[2][0] * 180 / π, lobe[2][1] * 180 / π ] ];\n        });\n      });\n      lobes = _.map(function(lobes) {\n        return lobes.map(function(lobe) {\n          return [ [ lobe[0][0] * π / 180, lobe[0][1] * π / 180 ], [ lobe[1][0] * π / 180, lobe[1][1] * π / 180 ], [ lobe[2][0] * π / 180, lobe[2][1] * π / 180 ] ];\n        });\n      });\n      reset();\n      return projection;\n    };\n    function sphere() {\n      var ε = 1e-6, coordinates = [];\n      for (var i = 0, n = lobes[0].length; i < n; ++i) {\n        var lobe = lobes[0][i], λ0 = lobe[0][0] * 180 / π, φ0 = lobe[0][1] * 180 / π, φ1 = lobe[1][1] * 180 / π, λ2 = lobe[2][0] * 180 / π, φ2 = lobe[2][1] * 180 / π;\n        coordinates.push(resample([ [ λ0 + ε, φ0 + ε ], [ λ0 + ε, φ1 - ε ], [ λ2 - ε, φ1 - ε ], [ λ2 - ε, φ2 + ε ] ], 30));\n      }\n      for (var i = lobes[1].length - 1; i >= 0; --i) {\n        var lobe = lobes[1][i], λ0 = lobe[0][0] * 180 / π, φ0 = lobe[0][1] * 180 / π, φ1 = lobe[1][1] * 180 / π, λ2 = lobe[2][0] * 180 / π, φ2 = lobe[2][1] * 180 / π;\n        coordinates.push(resample([ [ λ2 - ε, φ2 - ε ], [ λ2 - ε, φ1 + ε ], [ λ0 + ε, φ1 + ε ], [ λ0 + ε, φ0 - ε ] ], 30));\n      }\n      return {\n        type: \"Polygon\",\n        coordinates: [ d3.merge(coordinates) ]\n      };\n    }\n    function resample(coordinates, m) {\n      var i = -1, n = coordinates.length, p0 = coordinates[0], p1, dx, dy, resampled = [];\n      while (++i < n) {\n        p1 = coordinates[i];\n        dx = (p1[0] - p0[0]) / m;\n        dy = (p1[1] - p0[1]) / m;\n        for (var j = 0; j < m; ++j) resampled.push([ p0[0] + j * dx, p0[1] + j * dy ]);\n        p0 = p1;\n      }\n      resampled.push(p1);\n      return resampled;\n    }\n    function pointEqual(a, b) {\n      return Math.abs(a[0] - b[0]) < ε && Math.abs(a[1] - b[1]) < ε;\n    }\n    return projection;\n  };\n  function eckert4(λ, φ) {\n    var k = (2 + halfπ) * Math.sin(φ);\n    φ /= 2;\n    for (var i = 0, δ = Infinity; i < 10 && Math.abs(δ) > ε; i++) {\n      var cosφ = Math.cos(φ);\n      φ -= δ = (φ + Math.sin(φ) * (cosφ + 2) - k) / (2 * cosφ * (1 + cosφ));\n    }\n    return [ 2 / Math.sqrt(π * (4 + π)) * λ * (1 + Math.cos(φ)), 2 * Math.sqrt(π / (4 + π)) * Math.sin(φ) ];\n  }\n  eckert4.invert = function(x, y) {\n    var A = .5 * y * Math.sqrt((4 + π) / π), k = asin(A), c = Math.cos(k);\n    return [ x / (2 / Math.sqrt(π * (4 + π)) * (1 + c)), asin((k + A * (c + 2)) / (2 + halfπ)) ];\n  };\n  (d3.geo.eckert4 = function() {\n    return projection(eckert4);\n  }).raw = eckert4;\n  var hammerAzimuthalEqualArea = d3.geo.azimuthalEqualArea.raw;\n  function hammer(A, B) {\n    if (arguments.length < 2) B = A;\n    if (B === 1) return hammerAzimuthalEqualArea;\n    if (B === Infinity) return hammerQuarticAuthalic;\n    function forward(λ, φ) {\n      var coordinates = hammerAzimuthalEqualArea(λ / B, φ);\n      coordinates[0] *= A;\n      return coordinates;\n    }\n    forward.invert = function(x, y) {\n      var coordinates = hammerAzimuthalEqualArea.invert(x / A, y);\n      coordinates[0] *= B;\n      return coordinates;\n    };\n    return forward;\n  }\n  function hammerProjection() {\n    var B = 2, m = projectionMutator(hammer), p = m(B);\n    p.coefficient = function(_) {\n      if (!arguments.length) return B;\n      return m(B = +_);\n    };\n    return p;\n  }\n  function hammerQuarticAuthalic(λ, φ) {\n    return [ λ * Math.cos(φ) / Math.cos(φ /= 2), 2 * Math.sin(φ) ];\n  }\n  hammerQuarticAuthalic.invert = function(x, y) {\n    var φ = 2 * asin(y / 2);\n    return [ x * Math.cos(φ / 2) / Math.cos(φ), φ ];\n  };\n  (d3.geo.hammer = hammerProjection).raw = hammer;\n  function kavrayskiy7(λ, φ) {\n    return [ 3 * λ / (2 * π) * Math.sqrt(π * π / 3 - φ * φ), φ ];\n  }\n  kavrayskiy7.invert = function(x, y) {\n    return [ 2 / 3 * π * x / Math.sqrt(π * π / 3 - y * y), y ];\n  };\n  (d3.geo.kavrayskiy7 = function() {\n    return projection(kavrayskiy7);\n  }).raw = kavrayskiy7;\n  function miller(λ, φ) {\n    return [ λ, 1.25 * Math.log(Math.tan(π / 4 + .4 * φ)) ];\n  }\n  miller.invert = function(x, y) {\n    return [ x, 2.5 * Math.atan(Math.exp(.8 * y)) - .625 * π ];\n  };\n  (d3.geo.miller = function() {\n    return projection(miller);\n  }).raw = miller;\n  function mollweideBromleyθ(Cp) {\n    return function(θ) {\n      var Cpsinθ = Cp * Math.sin(θ), i = 30, δ;\n      do θ -= δ = (θ + Math.sin(θ) - Cpsinθ) / (1 + Math.cos(θ)); while (Math.abs(δ) > ε && --i > 0);\n      return θ / 2;\n    };\n  }\n  function mollweideBromley(Cx, Cy, Cp) {\n    var θ = mollweideBromleyθ(Cp);\n    function forward(λ, φ) {\n      return [ Cx * λ * Math.cos(φ = θ(φ)), Cy * Math.sin(φ) ];\n    }\n    forward.invert = function(x, y) {\n      var θ = asin(y / Cy);\n      return [ x / (Cx * Math.cos(θ)), asin((2 * θ + Math.sin(2 * θ)) / Cp) ];\n    };\n    return forward;\n  }\n  var mollweideθ = mollweideBromleyθ(π), mollweide = mollweideBromley(Math.SQRT2 / halfπ, Math.SQRT2, π);\n  (d3.geo.mollweide = function() {\n    return projection(mollweide);\n  }).raw = mollweide;\n  function naturalEarth(λ, φ) {\n    var φ2 = φ * φ, φ4 = φ2 * φ2;\n    return [ λ * (.8707 - .131979 * φ2 + φ4 * (-.013791 + φ4 * (.003971 * φ2 - .001529 * φ4))), φ * (1.007226 + φ2 * (.015085 + φ4 * (-.044475 + .028874 * φ2 - .005916 * φ4))) ];\n  }\n  naturalEarth.invert = function(x, y) {\n    var φ = y, i = 25, δ;\n    do {\n      var φ2 = φ * φ, φ4 = φ2 * φ2;\n      φ -= δ = (φ * (1.007226 + φ2 * (.015085 + φ4 * (-.044475 + .028874 * φ2 - .005916 * φ4))) - y) / (1.007226 + φ2 * (.015085 * 3 + φ4 * (-.044475 * 7 + .028874 * 9 * φ2 - .005916 * 11 * φ4)));\n    } while (Math.abs(δ) > ε && --i > 0);\n    return [ x / (.8707 + (φ2 = φ * φ) * (-.131979 + φ2 * (-.013791 + φ2 * φ2 * φ2 * (.003971 - .001529 * φ2)))), φ ];\n  };\n  (d3.geo.naturalEarth = function() {\n    return projection(naturalEarth);\n  }).raw = naturalEarth;\n  var robinsonConstants = [ [ .9986, -.062 ], [ 1, 0 ], [ .9986, .062 ], [ .9954, .124 ], [ .99, .186 ], [ .9822, .248 ], [ .973, .31 ], [ .96, .372 ], [ .9427, .434 ], [ .9216, .4958 ], [ .8962, .5571 ], [ .8679, .6176 ], [ .835, .6769 ], [ .7986, .7346 ], [ .7597, .7903 ], [ .7186, .8435 ], [ .6732, .8936 ], [ .6213, .9394 ], [ .5722, .9761 ], [ .5322, 1 ] ];\n  robinsonConstants.forEach(function(d) {\n    d[1] *= 1.0144;\n  });\n  function robinson(λ, φ) {\n    var i = Math.min(18, Math.abs(φ) * 36 / π), i0 = Math.floor(i), di = i - i0, ax = (k = robinsonConstants[i0])[0], ay = k[1], bx = (k = robinsonConstants[++i0])[0], by = k[1], cx = (k = robinsonConstants[Math.min(19, ++i0)])[0], cy = k[1], k;\n    return [ λ * (bx + di * (cx - ax) / 2 + di * di * (cx - 2 * bx + ax) / 2), (φ > 0 ? halfπ : -halfπ) * (by + di * (cy - ay) / 2 + di * di * (cy - 2 * by + ay) / 2) ];\n  }\n  robinson.invert = function(x, y) {\n    var yy = y / halfπ, φ = yy * 90, i = Math.min(18, Math.abs(φ / 5)), i0 = Math.max(0, Math.floor(i));\n    do {\n      var ay = robinsonConstants[i0][1], by = robinsonConstants[i0 + 1][1], cy = robinsonConstants[Math.min(19, i0 + 2)][1], u = cy - ay, v = cy - 2 * by + ay, t = 2 * (Math.abs(yy) - by) / u, c = v / u, di = t * (1 - c * t * (1 - 2 * c * t));\n      if (di >= 0 || i0 === 1) {\n        φ = (y >= 0 ? 5 : -5) * (di + i);\n        var j = 50, δ;\n        do {\n          i = Math.min(18, Math.abs(φ) / 5);\n          i0 = Math.floor(i);\n          di = i - i0;\n          ay = robinsonConstants[i0][1];\n          by = robinsonConstants[i0 + 1][1];\n          cy = robinsonConstants[Math.min(19, i0 + 2)][1];\n          φ -= (δ = (y >= 0 ? halfπ : -halfπ) * (by + di * (cy - ay) / 2 + di * di * (cy - 2 * by + ay) / 2) - y) * degrees;\n        } while (Math.abs(δ) > ε2 && --j > 0);\n        break;\n      }\n    } while (--i0 >= 0);\n    var ax = robinsonConstants[i0][0], bx = robinsonConstants[i0 + 1][0], cx = robinsonConstants[Math.min(19, i0 + 2)][0];\n    return [ x / (bx + di * (cx - ax) / 2 + di * di * (cx - 2 * bx + ax) / 2), φ * radians ];\n  };\n  (d3.geo.robinson = function() {\n    return projection(robinson);\n  }).raw = robinson;\n  function sinusoidal(λ, φ) {\n    return [ λ * Math.cos(φ), φ ];\n  }\n  sinusoidal.invert = function(x, y) {\n    return [ x / Math.cos(y), y ];\n  };\n  (d3.geo.sinusoidal = function() {\n    return projection(sinusoidal);\n  }).raw = sinusoidal;\n  function aitoff(λ, φ) {\n    var cosφ = Math.cos(φ), sinciα = sinci(acos(cosφ * Math.cos(λ /= 2)));\n    return [ 2 * cosφ * Math.sin(λ) * sinciα, Math.sin(φ) * sinciα ];\n  }\n  aitoff.invert = function(x, y) {\n    if (x * x + 4 * y * y > π * π + ε) return;\n    var λ = x, φ = y, i = 25;\n    do {\n      var sinλ = Math.sin(λ), sinλ_2 = Math.sin(λ / 2), cosλ_2 = Math.cos(λ / 2), sinφ = Math.sin(φ), cosφ = Math.cos(φ), sin_2φ = Math.sin(2 * φ), sin2φ = sinφ * sinφ, cos2φ = cosφ * cosφ, sin2λ_2 = sinλ_2 * sinλ_2, C = 1 - cos2φ * cosλ_2 * cosλ_2, E = C ? acos(cosφ * cosλ_2) * Math.sqrt(F = 1 / C) : F = 0, F, fx = 2 * E * cosφ * sinλ_2 - x, fy = E * sinφ - y, δxδλ = F * (cos2φ * sin2λ_2 + E * cosφ * cosλ_2 * sin2φ), δxδφ = F * (.5 * sinλ * sin_2φ - E * 2 * sinφ * sinλ_2), δyδλ = F * .25 * (sin_2φ * sinλ_2 - E * sinφ * cos2φ * sinλ), δyδφ = F * (sin2φ * cosλ_2 + E * sin2λ_2 * cosφ), denominator = δxδφ * δyδλ - δyδφ * δxδλ;\n      if (!denominator) break;\n      var δλ = (fy * δxδφ - fx * δyδφ) / denominator, δφ = (fx * δyδλ - fy * δxδλ) / denominator;\n      λ -= δλ, φ -= δφ;\n    } while ((Math.abs(δλ) > ε || Math.abs(δφ) > ε) && --i > 0);\n    return [ λ, φ ];\n  };\n  (d3.geo.aitoff = function() {\n    return projection(aitoff);\n  }).raw = aitoff;\n  function winkel3(λ, φ) {\n    var coordinates = aitoff(λ, φ);\n    return [ (coordinates[0] + λ / halfπ) / 2, (coordinates[1] + φ) / 2 ];\n  }\n  winkel3.invert = function(x, y) {\n    var λ = x, φ = y, i = 25;\n    do {\n      var cosφ = Math.cos(φ), sinφ = Math.sin(φ), sin_2φ = Math.sin(2 * φ), sin2φ = sinφ * sinφ, cos2φ = cosφ * cosφ, sinλ = Math.sin(λ), cosλ_2 = Math.cos(λ / 2), sinλ_2 = Math.sin(λ / 2), sin2λ_2 = sinλ_2 * sinλ_2, C = 1 - cos2φ * cosλ_2 * cosλ_2, E = C ? acos(cosφ * cosλ_2) * Math.sqrt(F = 1 / C) : F = 0, F, fx = .5 * (2 * E * cosφ * sinλ_2 + λ / halfπ) - x, fy = .5 * (E * sinφ + φ) - y, δxδλ = .5 * F * (cos2φ * sin2λ_2 + E * cosφ * cosλ_2 * sin2φ) + .5 / halfπ, δxδφ = F * (sinλ * sin_2φ / 4 - E * sinφ * sinλ_2), δyδλ = .125 * F * (sin_2φ * sinλ_2 - E * sinφ * cos2φ * sinλ), δyδφ = .5 * F * (sin2φ * cosλ_2 + E * sin2λ_2 * cosφ) + .5, denominator = δxδφ * δyδλ - δyδφ * δxδλ, δλ = (fy * δxδφ - fx * δyδφ) / denominator, δφ = (fx * δyδλ - fy * δxδλ) / denominator;\n      λ -= δλ, φ -= δφ;\n    } while ((Math.abs(δλ) > ε || Math.abs(δφ) > ε) && --i > 0);\n    return [ λ, φ ];\n  };\n  (d3.geo.winkel3 = function() {\n    return projection(winkel3);\n  }).raw = winkel3;\n}\n\nmodule.exports = addProjectionsToD3;\n\n},{}],781:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Lib = _dereq_('../../lib');\n\nvar radians = Math.PI / 180;\nvar degrees = 180 / Math.PI;\nvar zoomstartStyle = {cursor: 'pointer'};\nvar zoomendStyle = {cursor: 'auto'};\n\nfunction createGeoZoom(geo, geoLayout) {\n    var projection = geo.projection;\n    var zoomConstructor;\n\n    if(geoLayout._isScoped) {\n        zoomConstructor = zoomScoped;\n    } else if(geoLayout._isClipped) {\n        zoomConstructor = zoomClipped;\n    } else {\n        zoomConstructor = zoomNonClipped;\n    }\n\n    // TODO add a conic-specific zoom\n\n    return zoomConstructor(geo, projection);\n}\n\nmodule.exports = createGeoZoom;\n\n// common to all zoom types\nfunction initZoom(geo, projection) {\n    return d3.behavior.zoom()\n        .translate(projection.translate())\n        .scale(projection.scale());\n}\n\n// sync zoom updates with user & full layout\nfunction sync(geo, projection, cb) {\n    var id = geo.id;\n    var gd = geo.graphDiv;\n    var userOpts = gd.layout[id];\n    var fullOpts = gd._fullLayout[id];\n\n    var eventData = {};\n\n    function set(propStr, val) {\n        var fullNp = Lib.nestedProperty(fullOpts, propStr);\n\n        if(fullNp.get() !== val) {\n            fullNp.set(val);\n            Lib.nestedProperty(userOpts, propStr).set(val);\n            eventData[id + '.' + propStr] = val;\n        }\n    }\n\n    cb(set);\n    set('projection.scale', projection.scale() / geo.fitScale);\n    gd.emit('plotly_relayout', eventData);\n}\n\n// zoom for scoped projections\nfunction zoomScoped(geo, projection) {\n    var zoom = initZoom(geo, projection);\n\n    function handleZoomstart() {\n        d3.select(this).style(zoomstartStyle);\n    }\n\n    function handleZoom() {\n        projection\n            .scale(d3.event.scale)\n            .translate(d3.event.translate);\n        geo.render();\n    }\n\n    function syncCb(set) {\n        var center = projection.invert(geo.midPt);\n\n        set('center.lon', center[0]);\n        set('center.lat', center[1]);\n    }\n\n    function handleZoomend() {\n        d3.select(this).style(zoomendStyle);\n        sync(geo, projection, syncCb);\n    }\n\n    zoom\n        .on('zoomstart', handleZoomstart)\n        .on('zoom', handleZoom)\n        .on('zoomend', handleZoomend);\n\n    return zoom;\n}\n\n// zoom for non-clipped projections\nfunction zoomNonClipped(geo, projection) {\n    var zoom = initZoom(geo, projection);\n\n    var INSIDETOLORANCEPXS = 2;\n\n    var mouse0, rotate0, translate0, lastRotate, zoomPoint,\n        mouse1, rotate1, point1, didZoom;\n\n    function position(x) { return projection.invert(x); }\n\n    function outside(x) {\n        var pos = position(x);\n        if(!pos) return true;\n\n        var pt = projection(pos);\n        return (\n            Math.abs(pt[0] - x[0]) > INSIDETOLORANCEPXS ||\n            Math.abs(pt[1] - x[1]) > INSIDETOLORANCEPXS\n        );\n    }\n\n    function handleZoomstart() {\n        d3.select(this).style(zoomstartStyle);\n\n        mouse0 = d3.mouse(this);\n        rotate0 = projection.rotate();\n        translate0 = projection.translate();\n        lastRotate = rotate0;\n        zoomPoint = position(mouse0);\n    }\n\n    function handleZoom() {\n        mouse1 = d3.mouse(this);\n\n        if(outside(mouse0)) {\n            zoom.scale(projection.scale());\n            zoom.translate(projection.translate());\n            return;\n        }\n\n        projection.scale(d3.event.scale);\n        projection.translate([translate0[0], d3.event.translate[1]]);\n\n        if(!zoomPoint) {\n            mouse0 = mouse1;\n            zoomPoint = position(mouse0);\n        }\n        else if(position(mouse1)) {\n            point1 = position(mouse1);\n            rotate1 = [lastRotate[0] + (point1[0] - zoomPoint[0]), rotate0[1], rotate0[2]];\n            projection.rotate(rotate1);\n            lastRotate = rotate1;\n        }\n\n        didZoom = true;\n        geo.render();\n    }\n\n    function handleZoomend() {\n        d3.select(this).style(zoomendStyle);\n        if(didZoom) sync(geo, projection, syncCb);\n    }\n\n    function syncCb(set) {\n        var rotate = projection.rotate();\n        var center = projection.invert(geo.midPt);\n\n        set('projection.rotation.lon', -rotate[0]);\n        set('center.lon', center[0]);\n        set('center.lat', center[1]);\n    }\n\n    zoom\n        .on('zoomstart', handleZoomstart)\n        .on('zoom', handleZoom)\n        .on('zoomend', handleZoomend);\n\n    return zoom;\n}\n\n// zoom for clipped projections\n// inspired by https://www.jasondavies.com/maps/d3.geo.zoom.js\nfunction zoomClipped(geo, projection) {\n    var view = {r: projection.rotate(), k: projection.scale()},\n        zoom = initZoom(geo, projection),\n        event = d3_eventDispatch(zoom, 'zoomstart', 'zoom', 'zoomend'),\n        zooming = 0,\n        zoomOn = zoom.on;\n\n    var zoomPoint;\n\n    zoom.on('zoomstart', function() {\n        d3.select(this).style(zoomstartStyle);\n\n        var mouse0 = d3.mouse(this),\n            rotate0 = projection.rotate(),\n            lastRotate = rotate0,\n            translate0 = projection.translate(),\n            q = quaternionFromEuler(rotate0);\n\n        zoomPoint = position(projection, mouse0);\n\n        zoomOn.call(zoom, 'zoom', function() {\n            var mouse1 = d3.mouse(this);\n\n            projection.scale(view.k = d3.event.scale);\n\n            if(!zoomPoint) {\n                // if no zoomPoint, the mouse wasn't over the actual geography yet\n                // maybe this point is the start... we'll find out next time!\n                mouse0 = mouse1;\n                zoomPoint = position(projection, mouse0);\n            }\n            // check if the point is on the map\n            // if not, don't do anything new but scale\n            // if it is, then we can assume between will exist below\n            // so we don't need the 'bank' function, whatever that is.\n            else if(position(projection, mouse1)) {\n                // go back to original projection temporarily\n                // except for scale... that's kind of independent?\n                projection\n                    .rotate(rotate0)\n                    .translate(translate0);\n\n                // calculate the new params\n                var point1 = position(projection, mouse1),\n                    between = rotateBetween(zoomPoint, point1),\n                    newEuler = eulerFromQuaternion(multiply(q, between)),\n                    rotateAngles = view.r = unRoll(newEuler, zoomPoint, lastRotate);\n\n                if(!isFinite(rotateAngles[0]) || !isFinite(rotateAngles[1]) ||\n                   !isFinite(rotateAngles[2])) {\n                    rotateAngles = lastRotate;\n                }\n\n                // update the projection\n                projection.rotate(rotateAngles);\n                lastRotate = rotateAngles;\n            }\n\n            zoomed(event.of(this, arguments));\n        });\n\n        zoomstarted(event.of(this, arguments));\n    })\n    .on('zoomend', function() {\n        d3.select(this).style(zoomendStyle);\n        zoomOn.call(zoom, 'zoom', null);\n        zoomended(event.of(this, arguments));\n        sync(geo, projection, syncCb);\n    })\n    .on('zoom.redraw', function() {\n        geo.render();\n    });\n\n    function zoomstarted(dispatch) {\n        if(!zooming++) dispatch({type: 'zoomstart'});\n    }\n\n    function zoomed(dispatch) {\n        dispatch({type: 'zoom'});\n    }\n\n    function zoomended(dispatch) {\n        if(!--zooming) dispatch({type: 'zoomend'});\n    }\n\n    function syncCb(set) {\n        var _rotate = projection.rotate();\n        set('projection.rotation.lon', -_rotate[0]);\n        set('projection.rotation.lat', -_rotate[1]);\n    }\n\n    return d3.rebind(zoom, event, 'on');\n}\n\n// -- helper functions for zoomClipped\n\nfunction position(projection, point) {\n    var spherical = projection.invert(point);\n    return spherical && isFinite(spherical[0]) && isFinite(spherical[1]) && cartesian(spherical);\n}\n\nfunction quaternionFromEuler(euler) {\n    var lambda = 0.5 * euler[0] * radians,\n        phi = 0.5 * euler[1] * radians,\n        gamma = 0.5 * euler[2] * radians,\n        sinLambda = Math.sin(lambda), cosLambda = Math.cos(lambda),\n        sinPhi = Math.sin(phi), cosPhi = Math.cos(phi),\n        sinGamma = Math.sin(gamma), cosGamma = Math.cos(gamma);\n    return [\n        cosLambda * cosPhi * cosGamma + sinLambda * sinPhi * sinGamma,\n        sinLambda * cosPhi * cosGamma - cosLambda * sinPhi * sinGamma,\n        cosLambda * sinPhi * cosGamma + sinLambda * cosPhi * sinGamma,\n        cosLambda * cosPhi * sinGamma - sinLambda * sinPhi * cosGamma\n    ];\n}\n\nfunction multiply(a, b) {\n    var a0 = a[0], a1 = a[1], a2 = a[2], a3 = a[3],\n        b0 = b[0], b1 = b[1], b2 = b[2], b3 = b[3];\n    return [\n        a0 * b0 - a1 * b1 - a2 * b2 - a3 * b3,\n        a0 * b1 + a1 * b0 + a2 * b3 - a3 * b2,\n        a0 * b2 - a1 * b3 + a2 * b0 + a3 * b1,\n        a0 * b3 + a1 * b2 - a2 * b1 + a3 * b0\n    ];\n}\n\nfunction rotateBetween(a, b) {\n    if(!a || !b) return;\n    var axis = cross(a, b),\n        norm = Math.sqrt(dot(axis, axis)),\n        halfgamma = 0.5 * Math.acos(Math.max(-1, Math.min(1, dot(a, b)))),\n        k = Math.sin(halfgamma) / norm;\n    return norm && [Math.cos(halfgamma), axis[2] * k, -axis[1] * k, axis[0] * k];\n}\n\n// input:\n//   rotateAngles: a calculated set of Euler angles\n//   pt: a point (cartesian in 3-space) to keep fixed\n//   roll0: an initial roll, to be preserved\n// output:\n//   a set of Euler angles that preserve the projection of pt\n//     but set roll (output[2]) equal to roll0\n//     note that this doesn't depend on the particular projection,\n//     just on the rotation angles\nfunction unRoll(rotateAngles, pt, lastRotate) {\n    // calculate the fixed point transformed by these Euler angles\n    // but with the desired roll undone\n    var ptRotated = rotateCartesian(pt, 2, rotateAngles[0]);\n    ptRotated = rotateCartesian(ptRotated, 1, rotateAngles[1]);\n    ptRotated = rotateCartesian(ptRotated, 0, rotateAngles[2] - lastRotate[2]);\n\n    var x = pt[0],\n        y = pt[1],\n        z = pt[2],\n        f = ptRotated[0],\n        g = ptRotated[1],\n        h = ptRotated[2],\n\n        // the following essentially solves:\n        // ptRotated = rotateCartesian(rotateCartesian(pt, 2, newYaw), 1, newPitch)\n        // for newYaw and newPitch, as best it can\n        theta = Math.atan2(y, x) * degrees,\n        a = Math.sqrt(x * x + y * y),\n        b,\n        newYaw1;\n\n    if(Math.abs(g) > a) {\n        newYaw1 = (g > 0 ? 90 : -90) - theta;\n        b = 0;\n    } else {\n        newYaw1 = Math.asin(g / a) * degrees - theta;\n        b = Math.sqrt(a * a - g * g);\n    }\n\n    var newYaw2 = 180 - newYaw1 - 2 * theta,\n        newPitch1 = (Math.atan2(h, f) - Math.atan2(z, b)) * degrees,\n        newPitch2 = (Math.atan2(h, f) - Math.atan2(z, -b)) * degrees;\n\n    // which is closest to lastRotate[0,1]: newYaw/Pitch or newYaw2/Pitch2?\n    var dist1 = angleDistance(lastRotate[0], lastRotate[1], newYaw1, newPitch1),\n        dist2 = angleDistance(lastRotate[0], lastRotate[1], newYaw2, newPitch2);\n\n    if(dist1 <= dist2) return [newYaw1, newPitch1, lastRotate[2]];\n    else return [newYaw2, newPitch2, lastRotate[2]];\n}\n\nfunction angleDistance(yaw0, pitch0, yaw1, pitch1) {\n    var dYaw = angleMod(yaw1 - yaw0),\n        dPitch = angleMod(pitch1 - pitch0);\n    return Math.sqrt(dYaw * dYaw + dPitch * dPitch);\n}\n\n// reduce an angle in degrees to [-180,180]\nfunction angleMod(angle) {\n    return (angle % 360 + 540) % 360 - 180;\n}\n\n// rotate a cartesian vector\n// axis is 0 (x), 1 (y), or 2 (z)\n// angle is in degrees\nfunction rotateCartesian(vector, axis, angle) {\n    var angleRads = angle * radians,\n        vectorOut = vector.slice(),\n        ax1 = (axis === 0) ? 1 : 0,\n        ax2 = (axis === 2) ? 1 : 2,\n        cosa = Math.cos(angleRads),\n        sina = Math.sin(angleRads);\n\n    vectorOut[ax1] = vector[ax1] * cosa - vector[ax2] * sina;\n    vectorOut[ax2] = vector[ax2] * cosa + vector[ax1] * sina;\n\n    return vectorOut;\n}\nfunction eulerFromQuaternion(q) {\n    return [\n        Math.atan2(2 * (q[0] * q[1] + q[2] * q[3]), 1 - 2 * (q[1] * q[1] + q[2] * q[2])) * degrees,\n        Math.asin(Math.max(-1, Math.min(1, 2 * (q[0] * q[2] - q[3] * q[1])))) * degrees,\n        Math.atan2(2 * (q[0] * q[3] + q[1] * q[2]), 1 - 2 * (q[2] * q[2] + q[3] * q[3])) * degrees\n    ];\n}\n\nfunction cartesian(spherical) {\n    var lambda = spherical[0] * radians,\n        phi = spherical[1] * radians,\n        cosPhi = Math.cos(phi);\n    return [\n        cosPhi * Math.cos(lambda),\n        cosPhi * Math.sin(lambda),\n        Math.sin(phi)\n    ];\n}\n\nfunction dot(a, b) {\n    var s = 0;\n    for(var i = 0, n = a.length; i < n; ++i) s += a[i] * b[i];\n    return s;\n}\n\nfunction cross(a, b) {\n    return [\n        a[1] * b[2] - a[2] * b[1],\n        a[2] * b[0] - a[0] * b[2],\n        a[0] * b[1] - a[1] * b[0]\n    ];\n}\n\n// Like d3.dispatch, but for custom events abstracting native UI events. These\n// events have a target component (such as a brush), a target element (such as\n// the svg:g element containing the brush) and the standard arguments `d` (the\n// target element's data) and `i` (the selection index of the target element).\nfunction d3_eventDispatch(target) {\n    var i = 0,\n        n = arguments.length,\n        argumentz = [];\n\n    while(++i < n) argumentz.push(arguments[i]);\n\n    var dispatch = d3.dispatch.apply(null, argumentz);\n\n    // Creates a dispatch context for the specified `thiz` (typically, the target\n    // DOM element that received the source event) and `argumentz` (typically, the\n    // data `d` and index `i` of the target element). The returned function can be\n    // used to dispatch an event to any registered listeners; the function takes a\n    // single argument as input, being the event to dispatch. The event must have\n    // a \"type\" attribute which corresponds to a type registered in the\n    // constructor. This context will automatically populate the \"sourceEvent\" and\n    // \"target\" attributes of the event, as well as setting the `d3.event` global\n    // for the duration of the notification.\n    dispatch.of = function(thiz, argumentz) {\n        return function(e1) {\n            var e0;\n            try {\n                e0 = e1.sourceEvent = d3.event;\n                e1.target = target;\n                d3.event = e1;\n                dispatch[e1.type].apply(thiz, argumentz);\n            } finally {\n                d3.event = e0;\n            }\n        };\n    };\n\n    return dispatch;\n}\n\n},{\"../../lib\":696,\"d3\":148}],782:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../registry');\nvar SUBPLOT_PATTERN = _dereq_('./cartesian/constants').SUBPLOT_PATTERN;\n\n/**\n * Get calcdata trace(s) associated with a given subplot\n *\n * @param {array} calcData: as in gd.calcdata\n * @param {string} type: subplot type\n * @param {string} subplotId: subplot id to look for\n *\n * @return {array} array of calcdata traces\n */\nexports.getSubplotCalcData = function(calcData, type, subplotId) {\n    var basePlotModule = Registry.subplotsRegistry[type];\n    if(!basePlotModule) return [];\n\n    var attr = basePlotModule.attr;\n    var subplotCalcData = [];\n\n    for(var i = 0; i < calcData.length; i++) {\n        var calcTrace = calcData[i];\n        var trace = calcTrace[0].trace;\n\n        if(trace[attr] === subplotId) subplotCalcData.push(calcTrace);\n    }\n\n    return subplotCalcData;\n};\n/**\n * Get calcdata trace(s) that can be plotted with a given module\n * NOTE: this isn't necessarily just exactly matching trace type,\n * if multiple trace types use the same plotting routine, they will be\n * collected here.\n * In order to not plot the same thing multiple times, we return two arrays,\n * the calcdata we *will* plot with this module, and the ones we *won't*\n *\n * @param {array} calcdata: as in gd.calcdata\n * @param {object|string|fn} arg1:\n *  the plotting module, or its name, or its plot method\n *\n * @return {array[array]} [foundCalcdata, remainingCalcdata]\n */\nexports.getModuleCalcData = function(calcdata, arg1) {\n    var moduleCalcData = [];\n    var remainingCalcData = [];\n\n    var plotMethod;\n    if(typeof arg1 === 'string') {\n        plotMethod = Registry.getModule(arg1).plot;\n    } else if(typeof arg1 === 'function') {\n        plotMethod = arg1;\n    } else {\n        plotMethod = arg1.plot;\n    }\n    if(!plotMethod) {\n        return [moduleCalcData, calcdata];\n    }\n\n    for(var i = 0; i < calcdata.length; i++) {\n        var cd = calcdata[i];\n        var trace = cd[0].trace;\n        // N.B. 'legendonly' traces do not make it past here\n        if(trace.visible !== true) continue;\n\n        // group calcdata trace not by 'module' (as the name of this function\n        // would suggest), but by 'module plot method' so that if some traces\n        // share the same module plot method (e.g. bar and histogram), we\n        // only call it one!\n        if(trace._module.plot === plotMethod) {\n            moduleCalcData.push(cd);\n        } else {\n            remainingCalcData.push(cd);\n        }\n    }\n\n    return [moduleCalcData, remainingCalcData];\n};\n\n/**\n * Get the data trace(s) associated with a given subplot.\n *\n * @param {array} data  plotly full data array.\n * @param {string} type subplot type to look for.\n * @param {string} subplotId subplot id to look for.\n *\n * @return {array} list of trace objects.\n *\n */\nexports.getSubplotData = function getSubplotData(data, type, subplotId) {\n    if(!Registry.subplotsRegistry[type]) return [];\n\n    var attr = Registry.subplotsRegistry[type].attr;\n    var subplotData = [];\n    var trace, subplotX, subplotY;\n\n    if(type === 'gl2d') {\n        var spmatch = subplotId.match(SUBPLOT_PATTERN);\n        subplotX = 'x' + spmatch[1];\n        subplotY = 'y' + spmatch[2];\n    }\n\n    for(var i = 0; i < data.length; i++) {\n        trace = data[i];\n\n        if(type === 'gl2d' && Registry.traceIs(trace, 'gl2d')) {\n            if(trace[attr[0]] === subplotX && trace[attr[1]] === subplotY) {\n                subplotData.push(trace);\n            }\n        }\n        else {\n            if(trace[attr] === subplotId) subplotData.push(trace);\n        }\n    }\n\n    return subplotData;\n};\n\n},{\"../registry\":828,\"./cartesian/constants\":751}],783:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar mouseChange = _dereq_('mouse-change');\nvar mouseWheel = _dereq_('mouse-wheel');\nvar mouseOffset = _dereq_('mouse-event-offset');\nvar cartesianConstants = _dereq_('../cartesian/constants');\nvar hasPassive = _dereq_('has-passive-events');\n\nmodule.exports = createCamera;\n\nfunction Camera2D(element, plot) {\n    this.element = element;\n    this.plot = plot;\n    this.mouseListener = null;\n    this.wheelListener = null;\n    this.lastInputTime = Date.now();\n    this.lastPos = [0, 0];\n    this.boxEnabled = false;\n    this.boxInited = false;\n    this.boxStart = [0, 0];\n    this.boxEnd = [0, 0];\n    this.dragStart = [0, 0];\n}\n\n\nfunction createCamera(scene) {\n    var element = scene.mouseContainer,\n        plot = scene.glplot,\n        result = new Camera2D(element, plot);\n\n    function unSetAutoRange() {\n        scene.xaxis.autorange = false;\n        scene.yaxis.autorange = false;\n    }\n\n    function getSubplotConstraint() {\n        // note: this assumes we only have one x and one y axis on this subplot\n        // when this constraint is lifted this block won't make sense\n        var constraints = scene.graphDiv._fullLayout._axisConstraintGroups;\n        var xaId = scene.xaxis._id;\n        var yaId = scene.yaxis._id;\n        for(var i = 0; i < constraints.length; i++) {\n            if(constraints[i][xaId] !== -1) {\n                if(constraints[i][yaId] !== -1) return true;\n                break;\n            }\n        }\n        return false;\n    }\n\n    result.mouseListener = mouseChange(element, handleInteraction);\n\n    // enable simple touch interactions\n    element.addEventListener('touchstart', function(ev) {\n        var xy = mouseOffset(ev.changedTouches[0], element);\n        handleInteraction(0, xy[0], xy[1]);\n        handleInteraction(1, xy[0], xy[1]);\n\n        ev.preventDefault();\n    }, hasPassive ? {passive: false} : false);\n    element.addEventListener('touchmove', function(ev) {\n        ev.preventDefault();\n        var xy = mouseOffset(ev.changedTouches[0], element);\n        handleInteraction(1, xy[0], xy[1]);\n\n        ev.preventDefault();\n    }, hasPassive ? {passive: false} : false);\n    element.addEventListener('touchend', function(ev) {\n        handleInteraction(0, result.lastPos[0], result.lastPos[1]);\n\n        ev.preventDefault();\n    }, hasPassive ? {passive: false} : false);\n\n    function handleInteraction(buttons, x, y) {\n        var dataBox = scene.calcDataBox(),\n            viewBox = plot.viewBox;\n\n        var lastX = result.lastPos[0],\n            lastY = result.lastPos[1];\n\n        var MINDRAG = cartesianConstants.MINDRAG * plot.pixelRatio;\n        var MINZOOM = cartesianConstants.MINZOOM * plot.pixelRatio;\n\n        var dx, dy;\n\n        x *= plot.pixelRatio;\n        y *= plot.pixelRatio;\n\n        // mouseChange gives y about top; convert to about bottom\n        y = (viewBox[3] - viewBox[1]) - y;\n\n        function updateRange(i0, start, end) {\n            var range0 = Math.min(start, end),\n                range1 = Math.max(start, end);\n\n            if(range0 !== range1) {\n                dataBox[i0] = range0;\n                dataBox[i0 + 2] = range1;\n                result.dataBox = dataBox;\n                scene.setRanges(dataBox);\n            }\n            else {\n                scene.selectBox.selectBox = [0, 0, 1, 1];\n                scene.glplot.setDirty();\n            }\n        }\n\n        switch(scene.fullLayout.dragmode) {\n            case 'zoom':\n                if(buttons) {\n                    var dataX = x /\n                            (viewBox[2] - viewBox[0]) * (dataBox[2] - dataBox[0]) +\n                        dataBox[0];\n                    var dataY = y /\n                            (viewBox[3] - viewBox[1]) * (dataBox[3] - dataBox[1]) +\n                        dataBox[1];\n\n                    if(!result.boxInited) {\n                        result.boxStart[0] = dataX;\n                        result.boxStart[1] = dataY;\n                        result.dragStart[0] = x;\n                        result.dragStart[1] = y;\n                    }\n\n                    result.boxEnd[0] = dataX;\n                    result.boxEnd[1] = dataY;\n\n                    // we need to mark the box as initialized right away\n                    // so that we can tell the start and end points apart\n                    result.boxInited = true;\n\n                    // but don't actually enable the box until the cursor moves\n                    if(!result.boxEnabled && (\n                        result.boxStart[0] !== result.boxEnd[0] ||\n                        result.boxStart[1] !== result.boxEnd[1])\n                    ) {\n                        result.boxEnabled = true;\n                    }\n\n                    // constrain aspect ratio if the axes require it\n                    var smallDx = Math.abs(result.dragStart[0] - x) < MINZOOM;\n                    var smallDy = Math.abs(result.dragStart[1] - y) < MINZOOM;\n                    if(getSubplotConstraint() && !(smallDx && smallDy)) {\n                        dx = result.boxEnd[0] - result.boxStart[0];\n                        dy = result.boxEnd[1] - result.boxStart[1];\n                        var dydx = (dataBox[3] - dataBox[1]) / (dataBox[2] - dataBox[0]);\n\n                        if(Math.abs(dx * dydx) > Math.abs(dy)) {\n                            result.boxEnd[1] = result.boxStart[1] +\n                                Math.abs(dx) * dydx * (dy >= 0 ? 1 : -1);\n\n                            // gl-select-box clips to the plot area bounds,\n                            // which breaks the axis constraint, so don't allow\n                            // this box to go out of bounds\n                            if(result.boxEnd[1] < dataBox[1]) {\n                                result.boxEnd[1] = dataBox[1];\n                                result.boxEnd[0] = result.boxStart[0] +\n                                    (dataBox[1] - result.boxStart[1]) / Math.abs(dydx);\n                            }\n                            else if(result.boxEnd[1] > dataBox[3]) {\n                                result.boxEnd[1] = dataBox[3];\n                                result.boxEnd[0] = result.boxStart[0] +\n                                    (dataBox[3] - result.boxStart[1]) / Math.abs(dydx);\n                            }\n                        }\n                        else {\n                            result.boxEnd[0] = result.boxStart[0] +\n                                Math.abs(dy) / dydx * (dx >= 0 ? 1 : -1);\n\n                            if(result.boxEnd[0] < dataBox[0]) {\n                                result.boxEnd[0] = dataBox[0];\n                                result.boxEnd[1] = result.boxStart[1] +\n                                    (dataBox[0] - result.boxStart[0]) * Math.abs(dydx);\n                            }\n                            else if(result.boxEnd[0] > dataBox[2]) {\n                                result.boxEnd[0] = dataBox[2];\n                                result.boxEnd[1] = result.boxStart[1] +\n                                    (dataBox[2] - result.boxStart[0]) * Math.abs(dydx);\n                            }\n                        }\n                    }\n                    // otherwise clamp small changes to the origin so we get 1D zoom\n                    else {\n                        if(smallDx) result.boxEnd[0] = result.boxStart[0];\n                        if(smallDy) result.boxEnd[1] = result.boxStart[1];\n                    }\n                }\n                else if(result.boxEnabled) {\n                    dx = result.boxStart[0] !== result.boxEnd[0];\n                    dy = result.boxStart[1] !== result.boxEnd[1];\n                    if(dx || dy) {\n                        if(dx) {\n                            updateRange(0, result.boxStart[0], result.boxEnd[0]);\n                            scene.xaxis.autorange = false;\n                        }\n                        if(dy) {\n                            updateRange(1, result.boxStart[1], result.boxEnd[1]);\n                            scene.yaxis.autorange = false;\n                        }\n                        scene.relayoutCallback();\n                    }\n                    else {\n                        scene.glplot.setDirty();\n                    }\n                    result.boxEnabled = false;\n                    result.boxInited = false;\n                }\n                // if box was inited but button released then - reset the box\n                else if(result.boxInited) {\n                    result.boxInited = false;\n                }\n                break;\n\n            case 'pan':\n                result.boxEnabled = false;\n                result.boxInited = false;\n\n                if(buttons) {\n                    if(!result.panning) {\n                        result.dragStart[0] = x;\n                        result.dragStart[1] = y;\n                    }\n\n                    if(Math.abs(result.dragStart[0] - x) < MINDRAG) x = result.dragStart[0];\n                    if(Math.abs(result.dragStart[1] - y) < MINDRAG) y = result.dragStart[1];\n\n                    dx = (lastX - x) * (dataBox[2] - dataBox[0]) /\n                        (plot.viewBox[2] - plot.viewBox[0]);\n                    dy = (lastY - y) * (dataBox[3] - dataBox[1]) /\n                        (plot.viewBox[3] - plot.viewBox[1]);\n\n                    dataBox[0] += dx;\n                    dataBox[2] += dx;\n                    dataBox[1] += dy;\n                    dataBox[3] += dy;\n\n                    scene.setRanges(dataBox);\n\n                    result.panning = true;\n                    result.lastInputTime = Date.now();\n                    unSetAutoRange();\n                    scene.cameraChanged();\n                    scene.handleAnnotations();\n                }\n                else if(result.panning) {\n                    result.panning = false;\n                    scene.relayoutCallback();\n                }\n                break;\n        }\n\n        result.lastPos[0] = x;\n        result.lastPos[1] = y;\n    }\n\n    result.wheelListener = mouseWheel(element, function(dx, dy) {\n        if(!scene.scrollZoom) return false;\n\n        var dataBox = scene.calcDataBox(),\n            viewBox = plot.viewBox;\n\n        var lastX = result.lastPos[0],\n            lastY = result.lastPos[1];\n\n        var scale = Math.exp(5.0 * dy / (viewBox[3] - viewBox[1]));\n\n        var cx = lastX /\n                (viewBox[2] - viewBox[0]) * (dataBox[2] - dataBox[0]) +\n            dataBox[0];\n        var cy = lastY /\n                (viewBox[3] - viewBox[1]) * (dataBox[3] - dataBox[1]) +\n            dataBox[1];\n\n        dataBox[0] = (dataBox[0] - cx) * scale + cx;\n        dataBox[2] = (dataBox[2] - cx) * scale + cx;\n        dataBox[1] = (dataBox[1] - cy) * scale + cy;\n        dataBox[3] = (dataBox[3] - cy) * scale + cy;\n\n        scene.setRanges(dataBox);\n\n        result.lastInputTime = Date.now();\n        unSetAutoRange();\n        scene.cameraChanged();\n        scene.handleAnnotations();\n        scene.relayoutCallback();\n\n        return true;\n    }, true);\n\n    return result;\n}\n\n},{\"../cartesian/constants\":751,\"has-passive-events\":394,\"mouse-change\":418,\"mouse-event-offset\":419,\"mouse-wheel\":421}],784:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Axes = _dereq_('../cartesian/axes');\n\nvar convertHTMLToUnicode = _dereq_('../../lib/html2unicode');\nvar str2RGBArray = _dereq_('../../lib/str2rgbarray');\n\nfunction Axes2DOptions(scene) {\n    this.scene = scene;\n    this.gl = scene.gl;\n    this.pixelRatio = scene.pixelRatio;\n\n    this.screenBox = [0, 0, 1, 1];\n    this.viewBox = [0, 0, 1, 1];\n    this.dataBox = [-1, -1, 1, 1];\n\n    this.borderLineEnable = [false, false, false, false];\n    this.borderLineWidth = [1, 1, 1, 1];\n    this.borderLineColor = [\n        [0, 0, 0, 1],\n        [0, 0, 0, 1],\n        [0, 0, 0, 1],\n        [0, 0, 0, 1]\n    ];\n\n    this.ticks = [[], []];\n    this.tickEnable = [true, true, false, false];\n    this.tickPad = [15, 15, 15, 15];\n    this.tickAngle = [0, 0, 0, 0];\n    this.tickColor = [\n        [0, 0, 0, 1],\n        [0, 0, 0, 1],\n        [0, 0, 0, 1],\n        [0, 0, 0, 1]\n    ];\n    this.tickMarkLength = [0, 0, 0, 0];\n    this.tickMarkWidth = [0, 0, 0, 0];\n    this.tickMarkColor = [\n        [0, 0, 0, 1],\n        [0, 0, 0, 1],\n        [0, 0, 0, 1],\n        [0, 0, 0, 1]\n    ];\n\n    this.labels = ['x', 'y'];\n    this.labelEnable = [true, true, false, false];\n    this.labelAngle = [0, Math.PI / 2, 0, 3.0 * Math.PI / 2];\n    this.labelPad = [15, 15, 15, 15];\n    this.labelSize = [12, 12];\n    this.labelFont = ['sans-serif', 'sans-serif'];\n    this.labelColor = [\n        [0, 0, 0, 1],\n        [0, 0, 0, 1],\n        [0, 0, 0, 1],\n        [0, 0, 0, 1]\n    ];\n\n    this.title = '';\n    this.titleEnable = true;\n    this.titleCenter = [0, 0, 0, 0];\n    this.titleAngle = 0;\n    this.titleColor = [0, 0, 0, 1];\n    this.titleFont = 'sans-serif';\n    this.titleSize = 18;\n\n    this.gridLineEnable = [true, true];\n    this.gridLineColor = [\n        [0, 0, 0, 0.5],\n        [0, 0, 0, 0.5]\n    ];\n    this.gridLineWidth = [1, 1];\n\n    this.zeroLineEnable = [true, true];\n    this.zeroLineWidth = [1, 1];\n    this.zeroLineColor = [\n        [0, 0, 0, 1],\n        [0, 0, 0, 1]\n    ];\n\n    this.borderColor = false;\n    this.backgroundColor = [0, 0, 0, 0];\n\n    this.static = this.scene.staticPlot;\n}\n\nvar proto = Axes2DOptions.prototype;\n\nvar AXES = ['xaxis', 'yaxis'];\n\nproto.merge = function(options) {\n\n    // titles are rendered in SVG\n    this.titleEnable = false;\n    this.backgroundColor = str2RGBArray(options.plot_bgcolor);\n\n    var axisName, ax, axTitle, axMirror;\n    var hasAxisInDfltPos, hasAxisInAltrPos, hasSharedAxis, mirrorLines, mirrorTicks;\n    var i, j;\n\n    for(i = 0; i < 2; ++i) {\n        axisName = AXES[i];\n        var axisLetter = axisName.charAt(0);\n\n        // get options relevant to this subplot,\n        // '_name' is e.g. xaxis, xaxis2, yaxis, yaxis4 ...\n        ax = options[this.scene[axisName]._name];\n\n        axTitle = ax.title === this.scene.fullLayout._dfltTitle[axisLetter] ? '' : ax.title;\n\n        for(j = 0; j <= 2; j += 2) {\n            this.labelEnable[i + j] = false;\n            this.labels[i + j] = convertHTMLToUnicode(axTitle);\n            this.labelColor[i + j] = str2RGBArray(ax.titlefont.color);\n            this.labelFont[i + j] = ax.titlefont.family;\n            this.labelSize[i + j] = ax.titlefont.size;\n            this.labelPad[i + j] = this.getLabelPad(axisName, ax);\n\n            this.tickEnable[i + j] = false;\n            this.tickColor[i + j] = str2RGBArray((ax.tickfont || {}).color);\n            this.tickAngle[i + j] = (ax.tickangle === 'auto') ?\n                0 :\n                Math.PI * -ax.tickangle / 180;\n            this.tickPad[i + j] = this.getTickPad(ax);\n\n            this.tickMarkLength[i + j] = 0;\n            this.tickMarkWidth[i + j] = ax.tickwidth || 0;\n            this.tickMarkColor[i + j] = str2RGBArray(ax.tickcolor);\n\n            this.borderLineEnable[i + j] = false;\n            this.borderLineColor[i + j] = str2RGBArray(ax.linecolor);\n            this.borderLineWidth[i + j] = ax.linewidth || 0;\n        }\n\n        hasSharedAxis = this.hasSharedAxis(ax);\n        hasAxisInDfltPos = this.hasAxisInDfltPos(axisName, ax) && !hasSharedAxis;\n        hasAxisInAltrPos = this.hasAxisInAltrPos(axisName, ax) && !hasSharedAxis;\n\n        axMirror = ax.mirror || false;\n        mirrorLines = hasSharedAxis ?\n            (String(axMirror).indexOf('all') !== -1) :  // 'all' or 'allticks'\n            !!axMirror;                                 // all but false\n        mirrorTicks = hasSharedAxis ?\n            (axMirror === 'allticks') :\n            (String(axMirror).indexOf('ticks') !== -1); // 'ticks' or 'allticks'\n\n        // Axis titles and tick labels can only appear of one side of the scene\n        //  and are never show on subplots that share existing axes.\n\n        if(hasAxisInDfltPos) this.labelEnable[i] = true;\n        else if(hasAxisInAltrPos) this.labelEnable[i + 2] = true;\n\n        if(hasAxisInDfltPos) this.tickEnable[i] = ax.showticklabels;\n        else if(hasAxisInAltrPos) this.tickEnable[i + 2] = ax.showticklabels;\n\n        // Grid lines and ticks can appear on both sides of the scene\n        //  and can appear on subplot that share existing axes via `ax.mirror`.\n\n        if(hasAxisInDfltPos || mirrorLines) this.borderLineEnable[i] = ax.showline;\n        if(hasAxisInAltrPos || mirrorLines) this.borderLineEnable[i + 2] = ax.showline;\n\n        if(hasAxisInDfltPos || mirrorTicks) this.tickMarkLength[i] = this.getTickMarkLength(ax);\n        if(hasAxisInAltrPos || mirrorTicks) this.tickMarkLength[i + 2] = this.getTickMarkLength(ax);\n\n        this.gridLineEnable[i] = ax.showgrid;\n        this.gridLineColor[i] = str2RGBArray(ax.gridcolor);\n        this.gridLineWidth[i] = ax.gridwidth;\n\n        this.zeroLineEnable[i] = ax.zeroline;\n        this.zeroLineColor[i] = str2RGBArray(ax.zerolinecolor);\n        this.zeroLineWidth[i] = ax.zerolinewidth;\n    }\n};\n\n// is an axis shared with an already-drawn subplot ?\nproto.hasSharedAxis = function(ax) {\n    var scene = this.scene;\n    var subplotIds = scene.fullLayout._subplots.gl2d;\n    var list = Axes.findSubplotsWithAxis(subplotIds, ax);\n\n    // if index === 0, then the subplot is already drawn as subplots\n    // are drawn in order.\n    return (list.indexOf(scene.id) !== 0);\n};\n\n// has an axis in default position (i.e. bottom/left) ?\nproto.hasAxisInDfltPos = function(axisName, ax) {\n    var axSide = ax.side;\n\n    if(axisName === 'xaxis') return (axSide === 'bottom');\n    else if(axisName === 'yaxis') return (axSide === 'left');\n};\n\n// has an axis in alternate position (i.e. top/right) ?\nproto.hasAxisInAltrPos = function(axisName, ax) {\n    var axSide = ax.side;\n\n    if(axisName === 'xaxis') return (axSide === 'top');\n    else if(axisName === 'yaxis') return (axSide === 'right');\n};\n\nproto.getLabelPad = function(axisName, ax) {\n    var offsetBase = 1.5,\n        fontSize = ax.titlefont.size,\n        showticklabels = ax.showticklabels;\n\n    if(axisName === 'xaxis') {\n        return (ax.side === 'top') ?\n            -10 + fontSize * (offsetBase + (showticklabels ? 1 : 0)) :\n            -10 + fontSize * (offsetBase + (showticklabels ? 0.5 : 0));\n    }\n    else if(axisName === 'yaxis') {\n        return (ax.side === 'right') ?\n            10 + fontSize * (offsetBase + (showticklabels ? 1 : 0.5)) :\n            10 + fontSize * (offsetBase + (showticklabels ? 0.5 : 0));\n    }\n};\n\nproto.getTickPad = function(ax) {\n    return (ax.ticks === 'outside') ? 10 + ax.ticklen : 15;\n};\n\nproto.getTickMarkLength = function(ax) {\n    if(!ax.ticks) return 0;\n\n    var ticklen = ax.ticklen;\n\n    return (ax.ticks === 'inside') ? -ticklen : ticklen;\n};\n\n\nfunction createAxes2D(scene) {\n    return new Axes2DOptions(scene);\n}\n\nmodule.exports = createAxes2D;\n\n},{\"../../lib/html2unicode\":694,\"../../lib/str2rgbarray\":720,\"../cartesian/axes\":745}],785:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\nvar Scene2D = _dereq_('./scene2d');\nvar layoutGlobalAttrs = _dereq_('../layout_attributes');\nvar xmlnsNamespaces = _dereq_('../../constants/xmlns_namespaces');\nvar constants = _dereq_('../cartesian/constants');\nvar Cartesian = _dereq_('../cartesian');\nvar fxAttrs = _dereq_('../../components/fx/layout_attributes');\nvar getSubplotData = _dereq_('../get_data').getSubplotData;\n\nexports.name = 'gl2d';\n\nexports.attr = ['xaxis', 'yaxis'];\n\nexports.idRoot = ['x', 'y'];\n\nexports.idRegex = constants.idRegex;\n\nexports.attrRegex = constants.attrRegex;\n\nexports.attributes = _dereq_('../cartesian/attributes');\n\nexports.supplyLayoutDefaults = function(layoutIn, layoutOut, fullData) {\n    if(!layoutOut._has('cartesian')) {\n        Cartesian.supplyLayoutDefaults(layoutIn, layoutOut, fullData);\n    }\n};\n\n// gl2d uses svg axis attributes verbatim, but overrides editType\n// this could potentially be just `layoutAttributes` but it would\n// still need special handling somewhere to give it precedence over\n// the svg version when both are in use on one plot\nexports.layoutAttrOverrides = overrideAll(Cartesian.layoutAttributes, 'plot', 'from-root');\n\n// similar overrides for base plot attributes (and those added by components)\nexports.baseLayoutAttrOverrides = overrideAll({\n    plot_bgcolor: layoutGlobalAttrs.plot_bgcolor,\n    hoverlabel: fxAttrs.hoverlabel\n    // dragmode needs calc but only when transitioning TO lasso or select\n    // so for now it's left inside _relayout\n    // dragmode: fxAttrs.dragmode\n}, 'plot', 'nested');\n\nexports.plot = function plotGl2d(gd) {\n    var fullLayout = gd._fullLayout;\n    var fullData = gd._fullData;\n    var subplotIds = fullLayout._subplots.gl2d;\n\n    for(var i = 0; i < subplotIds.length; i++) {\n        var subplotId = subplotIds[i],\n            subplotObj = fullLayout._plots[subplotId],\n            fullSubplotData = getSubplotData(fullData, 'gl2d', subplotId);\n\n        // ref. to corresp. Scene instance\n        var scene = subplotObj._scene2d;\n\n        // If Scene is not instantiated, create one!\n        if(scene === undefined) {\n            scene = new Scene2D({\n                id: subplotId,\n                graphDiv: gd,\n                container: gd.querySelector('.gl-container'),\n                staticPlot: gd._context.staticPlot,\n                plotGlPixelRatio: gd._context.plotGlPixelRatio\n            },\n                fullLayout\n            );\n\n            // set ref to Scene instance\n            subplotObj._scene2d = scene;\n        }\n\n        scene.plot(fullSubplotData, gd.calcdata, fullLayout, gd.layout);\n    }\n};\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var oldSceneKeys = oldFullLayout._subplots.gl2d || [];\n\n    for(var i = 0; i < oldSceneKeys.length; i++) {\n        var id = oldSceneKeys[i],\n            oldSubplot = oldFullLayout._plots[id];\n\n        // old subplot wasn't gl2d; nothing to do\n        if(!oldSubplot._scene2d) continue;\n\n        // if no traces are present, delete gl2d subplot\n        var subplotData = getSubplotData(newFullData, 'gl2d', id);\n        if(subplotData.length === 0) {\n            oldSubplot._scene2d.destroy();\n            delete oldFullLayout._plots[id];\n        }\n    }\n\n    // since we use cartesian interactions, do cartesian clean\n    Cartesian.clean.apply(this, arguments);\n};\n\nexports.drawFramework = function(gd) {\n    if(!gd._context.staticPlot) {\n        Cartesian.drawFramework(gd);\n    }\n};\n\nexports.toSVG = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var subplotIds = fullLayout._subplots.gl2d;\n\n    for(var i = 0; i < subplotIds.length; i++) {\n        var subplot = fullLayout._plots[subplotIds[i]],\n            scene = subplot._scene2d;\n\n        var imageData = scene.toImage('png');\n        var image = fullLayout._glimages.append('svg:image');\n\n        image.attr({\n            xmlns: xmlnsNamespaces.svg,\n            'xlink:href': imageData,\n            x: 0,\n            y: 0,\n            width: '100%',\n            height: '100%',\n            preserveAspectRatio: 'none'\n        });\n\n        scene.destroy();\n    }\n};\n\nexports.updateFx = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var subplotIds = fullLayout._subplots.gl2d;\n\n    for(var i = 0; i < subplotIds.length; i++) {\n        var subplotObj = fullLayout._plots[subplotIds[i]]._scene2d;\n        subplotObj.updateFx(fullLayout.dragmode);\n    }\n};\n\n},{\"../../components/fx/layout_attributes\":613,\"../../constants/xmlns_namespaces\":674,\"../../plot_api/edit_types\":728,\"../cartesian\":757,\"../cartesian/attributes\":743,\"../cartesian/constants\":751,\"../get_data\":782,\"../layout_attributes\":800,\"./scene2d\":786}],786:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Fx = _dereq_('../../components/fx');\n\nvar createPlot2D = _dereq_('gl-plot2d');\nvar createSpikes = _dereq_('gl-spikes2d');\nvar createSelectBox = _dereq_('gl-select-box');\nvar getContext = _dereq_('webgl-context');\n\nvar createOptions = _dereq_('./convert');\nvar createCamera = _dereq_('./camera');\nvar convertHTMLToUnicode = _dereq_('../../lib/html2unicode');\nvar showNoWebGlMsg = _dereq_('../../lib/show_no_webgl_msg');\nvar axisConstraints = _dereq_('../cartesian/constraints');\nvar enforceAxisConstraints = axisConstraints.enforce;\nvar cleanAxisConstraints = axisConstraints.clean;\nvar doAutoRange = _dereq_('../cartesian/autorange').doAutoRange;\n\nvar AXES = ['xaxis', 'yaxis'];\nvar STATIC_CANVAS, STATIC_CONTEXT;\n\nvar SUBPLOT_PATTERN = _dereq_('../cartesian/constants').SUBPLOT_PATTERN;\n\n\nfunction Scene2D(options, fullLayout) {\n    this.container = options.container;\n    this.graphDiv = options.graphDiv;\n    this.pixelRatio = options.plotGlPixelRatio || window.devicePixelRatio;\n    this.id = options.id;\n    this.staticPlot = !!options.staticPlot;\n    this.scrollZoom = this.graphDiv._context.scrollZoom;\n\n    this.fullData = null;\n    this.updateRefs(fullLayout);\n\n    this.makeFramework();\n    if(this.stopped) return;\n\n    // update options\n    this.glplotOptions = createOptions(this);\n    this.glplotOptions.merge(fullLayout);\n\n    // create the plot\n    this.glplot = createPlot2D(this.glplotOptions);\n\n    // create camera\n    this.camera = createCamera(this);\n\n    // trace set\n    this.traces = {};\n\n    // create axes spikes\n    this.spikes = createSpikes(this.glplot);\n\n    this.selectBox = createSelectBox(this.glplot, {\n        innerFill: false,\n        outerFill: true\n    });\n\n    // last button state\n    this.lastButtonState = 0;\n\n    // last pick result\n    this.pickResult = null;\n\n    // is the mouse over the plot?\n    // it's OK if this says true when it's not, so long as\n    // when we get a mouseout we set it to false before handling\n    this.isMouseOver = true;\n\n    // flag to stop render loop\n    this.stopped = false;\n\n    // redraw the plot\n    this.redraw = this.draw.bind(this);\n    this.redraw();\n}\n\nmodule.exports = Scene2D;\n\nvar proto = Scene2D.prototype;\n\nproto.makeFramework = function() {\n\n    // create canvas and gl context\n    if(this.staticPlot) {\n        if(!STATIC_CONTEXT) {\n            STATIC_CANVAS = document.createElement('canvas');\n\n            STATIC_CONTEXT = getContext({\n                canvas: STATIC_CANVAS,\n                preserveDrawingBuffer: false,\n                premultipliedAlpha: true,\n                antialias: true\n            });\n\n            if(!STATIC_CONTEXT) {\n                throw new Error('Error creating static canvas/context for image server');\n            }\n        }\n\n        this.canvas = STATIC_CANVAS;\n        this.gl = STATIC_CONTEXT;\n    }\n    else {\n        var liveCanvas = this.container.querySelector('.gl-canvas-focus');\n\n        var gl = getContext({\n            canvas: liveCanvas,\n            preserveDrawingBuffer: true,\n            premultipliedAlpha: true\n        });\n\n        if(!gl) {\n            showNoWebGlMsg(this);\n            this.stopped = true;\n            return;\n        }\n\n        this.canvas = liveCanvas;\n        this.gl = gl;\n    }\n\n    // position the canvas\n    var canvas = this.canvas;\n\n    canvas.style.width = '100%';\n    canvas.style.height = '100%';\n    canvas.style.position = 'absolute';\n    canvas.style.top = '0px';\n    canvas.style.left = '0px';\n    canvas.style['pointer-events'] = 'none';\n\n    this.updateSize(canvas);\n\n    // disabling user select on the canvas\n    // sanitizes double-clicks interactions\n    // ref: https://github.com/plotly/plotly.js/issues/744\n    canvas.className += ' user-select-none';\n\n    // create SVG container for hover text\n    var svgContainer = this.svgContainer = document.createElementNS(\n        'http://www.w3.org/2000/svg',\n        'svg');\n    svgContainer.style.position = 'absolute';\n    svgContainer.style.top = svgContainer.style.left = '0px';\n    svgContainer.style.width = svgContainer.style.height = '100%';\n    svgContainer.style['z-index'] = 20;\n    svgContainer.style['pointer-events'] = 'none';\n\n    // create div to catch the mouse event\n    var mouseContainer = this.mouseContainer = document.createElement('div');\n    mouseContainer.style.position = 'absolute';\n    mouseContainer.style['pointer-events'] = 'auto';\n\n    this.pickCanvas = this.container.querySelector('.gl-canvas-pick');\n\n\n    // append canvas, hover svg and mouse div to container\n    var container = this.container;\n    container.appendChild(svgContainer);\n    container.appendChild(mouseContainer);\n\n    var self = this;\n    mouseContainer.addEventListener('mouseout', function() {\n        self.isMouseOver = false;\n        self.unhover();\n    });\n    mouseContainer.addEventListener('mouseover', function() {\n        self.isMouseOver = true;\n    });\n};\n\nproto.toImage = function(format) {\n    if(!format) format = 'png';\n\n    this.stopped = true;\n\n    if(this.staticPlot) this.container.appendChild(STATIC_CANVAS);\n\n    // update canvas size\n    this.updateSize(this.canvas);\n\n\n    // grab context and yank out pixels\n    var gl = this.glplot.gl,\n        w = gl.drawingBufferWidth,\n        h = gl.drawingBufferHeight;\n\n    // force redraw\n    gl.clearColor(1, 1, 1, 0);\n    gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);\n    this.glplot.setDirty();\n    this.glplot.draw();\n\n    gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n\n    var pixels = new Uint8Array(w * h * 4);\n    gl.readPixels(0, 0, w, h, gl.RGBA, gl.UNSIGNED_BYTE, pixels);\n\n    // flip pixels\n    for(var j = 0, k = h - 1; j < k; ++j, --k) {\n        for(var i = 0; i < w; ++i) {\n            for(var l = 0; l < 4; ++l) {\n                var tmp = pixels[4 * (w * j + i) + l];\n                pixels[4 * (w * j + i) + l] = pixels[4 * (w * k + i) + l];\n                pixels[4 * (w * k + i) + l] = tmp;\n            }\n        }\n    }\n\n    var canvas = document.createElement('canvas');\n    canvas.width = w;\n    canvas.height = h;\n\n    var context = canvas.getContext('2d');\n    var imageData = context.createImageData(w, h);\n    imageData.data.set(pixels);\n    context.putImageData(imageData, 0, 0);\n\n    var dataURL;\n\n    switch(format) {\n        case 'jpeg':\n            dataURL = canvas.toDataURL('image/jpeg');\n            break;\n        case 'webp':\n            dataURL = canvas.toDataURL('image/webp');\n            break;\n        default:\n            dataURL = canvas.toDataURL('image/png');\n    }\n\n    if(this.staticPlot) this.container.removeChild(STATIC_CANVAS);\n\n    return dataURL;\n};\n\nproto.updateSize = function(canvas) {\n    if(!canvas) canvas = this.canvas;\n\n    var pixelRatio = this.pixelRatio,\n        fullLayout = this.fullLayout;\n\n    var width = fullLayout.width,\n        height = fullLayout.height,\n        pixelWidth = Math.ceil(pixelRatio * width) |0,\n        pixelHeight = Math.ceil(pixelRatio * height) |0;\n\n    // check for resize\n    if(canvas.width !== pixelWidth || canvas.height !== pixelHeight) {\n        canvas.width = pixelWidth;\n        canvas.height = pixelHeight;\n    }\n\n    return canvas;\n};\n\nproto.computeTickMarks = function() {\n    this.xaxis.setScale();\n    this.yaxis.setScale();\n\n    var nextTicks = [\n        Axes.calcTicks(this.xaxis),\n        Axes.calcTicks(this.yaxis)\n    ];\n\n    for(var j = 0; j < 2; ++j) {\n        for(var i = 0; i < nextTicks[j].length; ++i) {\n            // coercing tick value (may not be a string) to a string\n            nextTicks[j][i].text = convertHTMLToUnicode(nextTicks[j][i].text + '');\n        }\n    }\n\n    return nextTicks;\n};\n\nfunction compareTicks(a, b) {\n    for(var i = 0; i < 2; ++i) {\n        var aticks = a[i],\n            bticks = b[i];\n\n        if(aticks.length !== bticks.length) return true;\n\n        for(var j = 0; j < aticks.length; ++j) {\n            if(aticks[j].x !== bticks[j].x) return true;\n        }\n    }\n\n    return false;\n}\n\nproto.updateRefs = function(newFullLayout) {\n    this.fullLayout = newFullLayout;\n\n    var spmatch = this.id.match(SUBPLOT_PATTERN);\n    var xaxisName = 'xaxis' + spmatch[1];\n    var yaxisName = 'yaxis' + spmatch[2];\n\n    this.xaxis = this.fullLayout[xaxisName];\n    this.yaxis = this.fullLayout[yaxisName];\n};\n\nproto.relayoutCallback = function() {\n    var graphDiv = this.graphDiv,\n        xaxis = this.xaxis,\n        yaxis = this.yaxis,\n        layout = graphDiv.layout;\n\n    // update user layout\n    layout.xaxis.autorange = xaxis.autorange;\n    layout.xaxis.range = xaxis.range.slice(0);\n    layout.yaxis.autorange = yaxis.autorange;\n    layout.yaxis.range = yaxis.range.slice(0);\n\n    // make a meaningful value to be passed on to the possible 'plotly_relayout' subscriber(s)\n    // scene.camera has no many useful projection or scale information\n    // helps determine which one is the latest input (if async)\n    var update = {\n        lastInputTime: this.camera.lastInputTime\n    };\n\n    update[xaxis._name] = xaxis.range.slice(0);\n    update[yaxis._name] = yaxis.range.slice(0);\n\n    graphDiv.emit('plotly_relayout', update);\n};\n\nproto.cameraChanged = function() {\n    var camera = this.camera;\n\n    this.glplot.setDataBox(this.calcDataBox());\n\n    var nextTicks = this.computeTickMarks();\n    var curTicks = this.glplotOptions.ticks;\n\n    if(compareTicks(nextTicks, curTicks)) {\n        this.glplotOptions.ticks = nextTicks;\n        this.glplotOptions.dataBox = camera.dataBox;\n        this.glplot.update(this.glplotOptions);\n        this.handleAnnotations();\n    }\n};\n\nproto.handleAnnotations = function() {\n    var gd = this.graphDiv,\n        annotations = this.fullLayout.annotations;\n\n    for(var i = 0; i < annotations.length; i++) {\n        var ann = annotations[i];\n\n        if(ann.xref === this.xaxis._id && ann.yref === this.yaxis._id) {\n            Registry.getComponentMethod('annotations', 'drawOne')(gd, i);\n        }\n    }\n};\n\nproto.destroy = function() {\n    if(!this.glplot) return;\n\n    var traces = this.traces;\n\n    if(traces) {\n        Object.keys(traces).map(function(key) {\n            traces[key].dispose();\n            delete traces[key];\n        });\n    }\n\n    this.glplot.dispose();\n\n    this.container.removeChild(this.svgContainer);\n    this.container.removeChild(this.mouseContainer);\n\n    this.fullData = null;\n    this.glplot = null;\n    this.stopped = true;\n    this.camera.mouseListener.enabled = false;\n    this.mouseContainer.removeEventListener('wheel', this.camera.wheelListener);\n    this.camera = null;\n};\n\nproto.plot = function(fullData, calcData, fullLayout) {\n    var glplot = this.glplot;\n\n    this.updateRefs(fullLayout);\n    this.xaxis.clearCalc();\n    this.yaxis.clearCalc();\n    this.updateTraces(fullData, calcData);\n    this.updateFx(fullLayout.dragmode);\n\n    var width = fullLayout.width,\n        height = fullLayout.height;\n\n    this.updateSize(this.canvas);\n\n    var options = this.glplotOptions;\n    options.merge(fullLayout);\n    options.screenBox = [0, 0, width, height];\n\n    var mockGraphDiv = {_fullLayout: {\n        _axisConstraintGroups: this.graphDiv._fullLayout._axisConstraintGroups,\n        xaxis: this.xaxis,\n        yaxis: this.yaxis\n    }};\n\n    cleanAxisConstraints(mockGraphDiv, this.xaxis);\n    cleanAxisConstraints(mockGraphDiv, this.yaxis);\n\n    var size = fullLayout._size,\n        domainX = this.xaxis.domain,\n        domainY = this.yaxis.domain;\n\n    options.viewBox = [\n        size.l + domainX[0] * size.w,\n        size.b + domainY[0] * size.h,\n        (width - size.r) - (1 - domainX[1]) * size.w,\n        (height - size.t) - (1 - domainY[1]) * size.h\n    ];\n\n    this.mouseContainer.style.width = size.w * (domainX[1] - domainX[0]) + 'px';\n    this.mouseContainer.style.height = size.h * (domainY[1] - domainY[0]) + 'px';\n    this.mouseContainer.height = size.h * (domainY[1] - domainY[0]);\n    this.mouseContainer.style.left = size.l + domainX[0] * size.w + 'px';\n    this.mouseContainer.style.top = size.t + (1 - domainY[1]) * size.h + 'px';\n\n    var ax, i;\n\n    for(i = 0; i < 2; ++i) {\n        ax = this[AXES[i]];\n        ax._length = options.viewBox[i + 2] - options.viewBox[i];\n\n        doAutoRange(this.graphDiv, ax);\n        ax.setScale();\n    }\n\n    enforceAxisConstraints(mockGraphDiv);\n\n    options.ticks = this.computeTickMarks();\n\n    options.dataBox = this.calcDataBox();\n\n    options.merge(fullLayout);\n    glplot.update(options);\n\n    // force redraw so that promise is returned when rendering is completed\n    this.glplot.draw();\n};\n\nproto.calcDataBox = function() {\n    var xaxis = this.xaxis,\n        yaxis = this.yaxis,\n        xrange = xaxis.range,\n        yrange = yaxis.range,\n        xr2l = xaxis.r2l,\n        yr2l = yaxis.r2l;\n\n    return [xr2l(xrange[0]), yr2l(yrange[0]), xr2l(xrange[1]), yr2l(yrange[1])];\n};\n\nproto.setRanges = function(dataBox) {\n    var xaxis = this.xaxis,\n        yaxis = this.yaxis,\n        xl2r = xaxis.l2r,\n        yl2r = yaxis.l2r;\n\n    xaxis.range = [xl2r(dataBox[0]), xl2r(dataBox[2])];\n    yaxis.range = [yl2r(dataBox[1]), yl2r(dataBox[3])];\n};\n\nproto.updateTraces = function(fullData, calcData) {\n    var traceIds = Object.keys(this.traces);\n    var i, j, fullTrace;\n\n    this.fullData = fullData;\n\n    // remove empty traces\n    trace_id_loop:\n    for(i = 0; i < traceIds.length; i++) {\n        var oldUid = traceIds[i],\n            oldTrace = this.traces[oldUid];\n\n        for(j = 0; j < fullData.length; j++) {\n            fullTrace = fullData[j];\n\n            if(fullTrace.uid === oldUid && fullTrace.type === oldTrace.type) {\n                continue trace_id_loop;\n            }\n        }\n\n        oldTrace.dispose();\n        delete this.traces[oldUid];\n    }\n\n    // update / create trace objects\n    for(i = 0; i < fullData.length; i++) {\n        fullTrace = fullData[i];\n        var calcTrace = calcData[i],\n            traceObj = this.traces[fullTrace.uid];\n\n        if(traceObj) traceObj.update(fullTrace, calcTrace);\n        else {\n            traceObj = fullTrace._module.plot(this, fullTrace, calcTrace);\n            this.traces[fullTrace.uid] = traceObj;\n        }\n    }\n\n    // order object per traces\n    this.glplot.objects.sort(function(a, b) {\n        return a._trace.index - b._trace.index;\n    });\n};\n\nproto.updateFx = function(dragmode) {\n    // switch to svg interactions in lasso/select mode\n    if(dragmode === 'lasso' || dragmode === 'select') {\n        this.pickCanvas.style['pointer-events'] = 'none';\n        this.mouseContainer.style['pointer-events'] = 'none';\n    } else {\n        this.pickCanvas.style['pointer-events'] = 'auto';\n        this.mouseContainer.style['pointer-events'] = 'auto';\n    }\n\n    // set proper cursor\n    if(dragmode === 'pan') {\n        this.mouseContainer.style.cursor = 'move';\n    }\n    else if(dragmode === 'zoom') {\n        this.mouseContainer.style.cursor = 'crosshair';\n    }\n    else {\n        this.mouseContainer.style.cursor = null;\n    }\n};\n\nproto.emitPointAction = function(nextSelection, eventType) {\n    var uid = nextSelection.trace.uid;\n    var ptNumber = nextSelection.pointIndex;\n    var trace;\n\n    for(var i = 0; i < this.fullData.length; i++) {\n        if(this.fullData[i].uid === uid) {\n            trace = this.fullData[i];\n        }\n    }\n\n    var pointData = {\n        x: nextSelection.traceCoord[0],\n        y: nextSelection.traceCoord[1],\n        curveNumber: trace.index,\n        pointNumber: ptNumber,\n        data: trace._input,\n        fullData: this.fullData,\n        xaxis: this.xaxis,\n        yaxis: this.yaxis\n    };\n\n    Fx.appendArrayPointValue(pointData, trace, ptNumber);\n\n    this.graphDiv.emit(eventType, {points: [pointData]});\n};\n\nproto.draw = function() {\n    if(this.stopped) return;\n\n    requestAnimationFrame(this.redraw);\n\n    var glplot = this.glplot,\n        camera = this.camera,\n        mouseListener = camera.mouseListener,\n        mouseUp = this.lastButtonState === 1 && mouseListener.buttons === 0,\n        fullLayout = this.fullLayout;\n\n    this.lastButtonState = mouseListener.buttons;\n\n    this.cameraChanged();\n\n    var x = mouseListener.x * glplot.pixelRatio;\n    var y = this.canvas.height - glplot.pixelRatio * mouseListener.y;\n\n    var result;\n\n    if(camera.boxEnabled && fullLayout.dragmode === 'zoom') {\n        this.selectBox.enabled = true;\n\n        var selectBox = this.selectBox.selectBox = [\n            Math.min(camera.boxStart[0], camera.boxEnd[0]),\n            Math.min(camera.boxStart[1], camera.boxEnd[1]),\n            Math.max(camera.boxStart[0], camera.boxEnd[0]),\n            Math.max(camera.boxStart[1], camera.boxEnd[1])\n        ];\n\n        // 1D zoom\n        for(var i = 0; i < 2; i++) {\n            if(camera.boxStart[i] === camera.boxEnd[i]) {\n                selectBox[i] = glplot.dataBox[i];\n                selectBox[i + 2] = glplot.dataBox[i + 2];\n            }\n        }\n\n        glplot.setDirty();\n    }\n    else if(!camera.panning && this.isMouseOver) {\n        this.selectBox.enabled = false;\n\n        var size = fullLayout._size,\n            domainX = this.xaxis.domain,\n            domainY = this.yaxis.domain;\n\n        result = glplot.pick(\n            (x / glplot.pixelRatio) + size.l + domainX[0] * size.w,\n            (y / glplot.pixelRatio) - (size.t + (1 - domainY[1]) * size.h)\n        );\n\n        var nextSelection = result && result.object._trace.handlePick(result);\n\n        if(nextSelection && mouseUp) {\n            this.emitPointAction(nextSelection, 'plotly_click');\n        }\n\n        if(result && result.object._trace.hoverinfo !== 'skip' && fullLayout.hovermode) {\n\n            if(nextSelection && (\n                !this.lastPickResult ||\n                this.lastPickResult.traceUid !== nextSelection.trace.uid ||\n                this.lastPickResult.dataCoord[0] !== nextSelection.dataCoord[0] ||\n                this.lastPickResult.dataCoord[1] !== nextSelection.dataCoord[1])\n            ) {\n                var selection = nextSelection;\n\n                this.lastPickResult = {\n                    traceUid: nextSelection.trace ? nextSelection.trace.uid : null,\n                    dataCoord: nextSelection.dataCoord.slice()\n                };\n                this.spikes.update({ center: result.dataCoord });\n\n                selection.screenCoord = [\n                    ((glplot.viewBox[2] - glplot.viewBox[0]) *\n                    (result.dataCoord[0] - glplot.dataBox[0]) /\n                        (glplot.dataBox[2] - glplot.dataBox[0]) + glplot.viewBox[0]) /\n                            glplot.pixelRatio,\n                    (this.canvas.height - (glplot.viewBox[3] - glplot.viewBox[1]) *\n                    (result.dataCoord[1] - glplot.dataBox[1]) /\n                        (glplot.dataBox[3] - glplot.dataBox[1]) - glplot.viewBox[1]) /\n                            glplot.pixelRatio\n                ];\n\n                // this needs to happen before the next block that deletes traceCoord data\n                // also it's important to copy, otherwise data is lost by the time event data is read\n                this.emitPointAction(nextSelection, 'plotly_hover');\n\n                var trace = this.fullData[selection.trace.index] || {};\n                var ptNumber = selection.pointIndex;\n                var hoverinfo = Fx.castHoverinfo(trace, fullLayout, ptNumber);\n\n                if(hoverinfo && hoverinfo !== 'all') {\n                    var parts = hoverinfo.split('+');\n                    if(parts.indexOf('x') === -1) selection.traceCoord[0] = undefined;\n                    if(parts.indexOf('y') === -1) selection.traceCoord[1] = undefined;\n                    if(parts.indexOf('z') === -1) selection.traceCoord[2] = undefined;\n                    if(parts.indexOf('text') === -1) selection.textLabel = undefined;\n                    if(parts.indexOf('name') === -1) selection.name = undefined;\n                }\n\n                Fx.loneHover({\n                    x: selection.screenCoord[0],\n                    y: selection.screenCoord[1],\n                    xLabel: this.hoverFormatter('xaxis', selection.traceCoord[0]),\n                    yLabel: this.hoverFormatter('yaxis', selection.traceCoord[1]),\n                    zLabel: selection.traceCoord[2],\n                    text: selection.textLabel,\n                    name: selection.name,\n                    color: Fx.castHoverOption(trace, ptNumber, 'bgcolor') || selection.color,\n                    borderColor: Fx.castHoverOption(trace, ptNumber, 'bordercolor'),\n                    fontFamily: Fx.castHoverOption(trace, ptNumber, 'font.family'),\n                    fontSize: Fx.castHoverOption(trace, ptNumber, 'font.size'),\n                    fontColor: Fx.castHoverOption(trace, ptNumber, 'font.color')\n                }, {\n                    container: this.svgContainer,\n                    gd: this.graphDiv\n                });\n            }\n        }\n    }\n\n    // Remove hover effects if we're not over a point OR\n    // if we're zooming or panning (in which case result is not set)\n    if(!result) {\n        this.unhover();\n    }\n\n    glplot.draw();\n};\n\nproto.unhover = function() {\n    if(this.lastPickResult) {\n        this.spikes.update({});\n        this.lastPickResult = null;\n        this.graphDiv.emit('plotly_unhover');\n        Fx.loneUnhover(this.svgContainer);\n    }\n};\n\nproto.hoverFormatter = function(axisName, val) {\n    if(val === undefined) return undefined;\n\n    var axis = this[axisName];\n    return Axes.tickText(axis, axis.c2l(val), 'hover').text;\n};\n\n},{\"../../components/fx\":612,\"../../lib/html2unicode\":694,\"../../lib/show_no_webgl_msg\":718,\"../../plots/cartesian/axes\":745,\"../../registry\":828,\"../cartesian/autorange\":744,\"../cartesian/constants\":751,\"../cartesian/constraints\":753,\"./camera\":783,\"./convert\":784,\"gl-plot2d\":275,\"gl-select-box\":286,\"gl-spikes2d\":295,\"webgl-context\":533}],787:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = createCamera;\n\nvar now = _dereq_('right-now');\nvar createView = _dereq_('3d-view');\nvar mouseChange = _dereq_('mouse-change');\nvar mouseWheel = _dereq_('mouse-wheel');\nvar mouseOffset = _dereq_('mouse-event-offset');\nvar supportsPassive = _dereq_('has-passive-events');\n\nfunction createCamera(element, options) {\n    element = element || document.body;\n    options = options || {};\n\n    var limits = [ 0.01, Infinity ];\n    if('distanceLimits' in options) {\n        limits[0] = options.distanceLimits[0];\n        limits[1] = options.distanceLimits[1];\n    }\n    if('zoomMin' in options) {\n        limits[0] = options.zoomMin;\n    }\n    if('zoomMax' in options) {\n        limits[1] = options.zoomMax;\n    }\n\n    var view = createView({\n        center: options.center || [0, 0, 0],\n        up: options.up || [0, 1, 0],\n        eye: options.eye || [0, 0, 10],\n        mode: options.mode || 'orbit',\n        distanceLimits: limits\n    });\n\n    var pmatrix = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0];\n    var distance = 0.0;\n    var width = element.clientWidth;\n    var height = element.clientHeight;\n\n    var camera = {\n        keyBindingMode: 'rotate',\n        view: view,\n        element: element,\n        delay: options.delay || 16,\n        rotateSpeed: options.rotateSpeed || 1,\n        zoomSpeed: options.zoomSpeed || 1,\n        translateSpeed: options.translateSpeed || 1,\n        flipX: !!options.flipX,\n        flipY: !!options.flipY,\n        modes: view.modes,\n        tick: function() {\n            var t = now();\n            var delay = this.delay;\n            var ctime = t - 2 * delay;\n            view.idle(t - delay);\n            view.recalcMatrix(ctime);\n            view.flush(t - (100 + delay * 2));\n            var allEqual = true;\n            var matrix = view.computedMatrix;\n            for(var i = 0; i < 16; ++i) {\n                allEqual = allEqual && (pmatrix[i] === matrix[i]);\n                pmatrix[i] = matrix[i];\n            }\n            var sizeChanged =\n                element.clientWidth === width &&\n                element.clientHeight === height;\n            width = element.clientWidth;\n            height = element.clientHeight;\n            if(allEqual) return !sizeChanged;\n            distance = Math.exp(view.computedRadius[0]);\n            return true;\n        },\n        lookAt: function(center, eye, up) {\n            view.lookAt(view.lastT(), center, eye, up);\n        },\n        rotate: function(pitch, yaw, roll) {\n            view.rotate(view.lastT(), pitch, yaw, roll);\n        },\n        pan: function(dx, dy, dz) {\n            view.pan(view.lastT(), dx, dy, dz);\n        },\n        translate: function(dx, dy, dz) {\n            view.translate(view.lastT(), dx, dy, dz);\n        }\n    };\n\n    Object.defineProperties(camera, {\n        matrix: {\n            get: function() {\n                return view.computedMatrix;\n            },\n            set: function(mat) {\n                view.setMatrix(view.lastT(), mat);\n                return view.computedMatrix;\n            },\n            enumerable: true\n        },\n        mode: {\n            get: function() {\n                return view.getMode();\n            },\n            set: function(mode) {\n                var curUp = view.computedUp.slice();\n                var curEye = view.computedEye.slice();\n                var curCenter = view.computedCenter.slice();\n                view.setMode(mode);\n                if(mode === 'turntable') {\n                    // Hacky time warping stuff to generate smooth animation\n                    var t0 = now();\n                    view._active.lookAt(t0, curEye, curCenter, curUp);\n                    view._active.lookAt(t0 + 500, curEye, curCenter, [0, 0, 1]);\n                    view._active.flush(t0);\n                }\n                return view.getMode();\n            },\n            enumerable: true\n        },\n        center: {\n            get: function() {\n                return view.computedCenter;\n            },\n            set: function(ncenter) {\n                view.lookAt(view.lastT(), null, ncenter);\n                return view.computedCenter;\n            },\n            enumerable: true\n        },\n        eye: {\n            get: function() {\n                return view.computedEye;\n            },\n            set: function(neye) {\n                view.lookAt(view.lastT(), neye);\n                return view.computedEye;\n            },\n            enumerable: true\n        },\n        up: {\n            get: function() {\n                return view.computedUp;\n            },\n            set: function(nup) {\n                view.lookAt(view.lastT(), null, null, nup);\n                return view.computedUp;\n            },\n            enumerable: true\n        },\n        distance: {\n            get: function() {\n                return distance;\n            },\n            set: function(d) {\n                view.setDistance(view.lastT(), d);\n                return d;\n            },\n            enumerable: true\n        },\n        distanceLimits: {\n            get: function() {\n                return view.getDistanceLimits(limits);\n            },\n            set: function(v) {\n                view.setDistanceLimits(v);\n                return v;\n            },\n            enumerable: true\n        }\n    });\n\n    element.addEventListener('contextmenu', function(ev) {\n        ev.preventDefault();\n        return false;\n    });\n\n    var lastX = 0, lastY = 0, lastMods = {shift: false, control: false, alt: false, meta: false};\n    camera.mouseListener = mouseChange(element, handleInteraction);\n\n    // enable simple touch interactions\n    element.addEventListener('touchstart', function(ev) {\n        var xy = mouseOffset(ev.changedTouches[0], element);\n        handleInteraction(0, xy[0], xy[1], lastMods);\n        handleInteraction(1, xy[0], xy[1], lastMods);\n\n        ev.preventDefault();\n    }, supportsPassive ? {passive: false} : false);\n    element.addEventListener('touchmove', function(ev) {\n        var xy = mouseOffset(ev.changedTouches[0], element);\n        handleInteraction(1, xy[0], xy[1], lastMods);\n\n        ev.preventDefault();\n    }, supportsPassive ? {passive: false} : false);\n    element.addEventListener('touchend', function(ev) {\n        handleInteraction(0, lastX, lastY, lastMods);\n\n        ev.preventDefault();\n    }, supportsPassive ? {passive: false} : false);\n\n    function handleInteraction(buttons, x, y, mods) {\n        var keyBindingMode = camera.keyBindingMode;\n\n        if(keyBindingMode === false) return;\n\n        var rotate = keyBindingMode === 'rotate';\n        var pan = keyBindingMode === 'pan';\n        var zoom = keyBindingMode === 'zoom';\n\n        var ctrl = !!mods.control;\n        var alt = !!mods.alt;\n        var shift = !!mods.shift;\n        var left = !!(buttons & 1);\n        var right = !!(buttons & 2);\n        var middle = !!(buttons & 4);\n\n        var scale = 1.0 / element.clientHeight;\n        var dx = scale * (x - lastX);\n        var dy = scale * (y - lastY);\n\n        var flipX = camera.flipX ? 1 : -1;\n        var flipY = camera.flipY ? 1 : -1;\n\n        var t = now();\n\n        var drot = Math.PI * camera.rotateSpeed;\n\n        if((rotate && left && !ctrl && !alt && !shift) || (left && !ctrl && !alt && shift)) {\n            // Rotate\n            view.rotate(t, flipX * drot * dx, -flipY * drot * dy, 0);\n        }\n\n        if((pan && left && !ctrl && !alt && !shift) || right || (left && ctrl && !alt && !shift)) {\n            // Pan\n            view.pan(t, -camera.translateSpeed * dx * distance, camera.translateSpeed * dy * distance, 0);\n        }\n\n        if((zoom && left && !ctrl && !alt && !shift) || middle || (left && !ctrl && alt && !shift)) {\n            // Zoom\n            var kzoom = -camera.zoomSpeed * dy / window.innerHeight * (t - view.lastT()) * 100;\n            view.pan(t, 0, 0, distance * (Math.exp(kzoom) - 1));\n        }\n\n        lastX = x;\n        lastY = y;\n        lastMods = mods;\n\n        return true;\n    }\n\n    camera.wheelListener = mouseWheel(element, function(dx, dy) {\n        if(camera.keyBindingMode === false) return;\n\n        var flipX = camera.flipX ? 1 : -1;\n        var flipY = camera.flipY ? 1 : -1;\n        var t = now();\n        if(Math.abs(dx) > Math.abs(dy)) {\n            view.rotate(t, 0, 0, -dx * flipX * Math.PI * camera.rotateSpeed / window.innerWidth);\n        } else {\n            var kzoom = -camera.zoomSpeed * flipY * dy / window.innerHeight * (t - view.lastT()) / 20.0;\n            view.pan(t, 0, 0, distance * (Math.exp(kzoom) - 1));\n        }\n    }, true);\n\n    return camera;\n}\n\n},{\"3d-view\":45,\"has-passive-events\":394,\"mouse-change\":418,\"mouse-event-offset\":419,\"mouse-wheel\":421,\"right-now\":480}],788:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\nvar fxAttrs = _dereq_('../../components/fx/layout_attributes');\n\nvar Scene = _dereq_('./scene');\nvar getSubplotData = _dereq_('../get_data').getSubplotData;\nvar Lib = _dereq_('../../lib');\nvar xmlnsNamespaces = _dereq_('../../constants/xmlns_namespaces');\n\nvar GL3D = 'gl3d';\nvar SCENE = 'scene';\n\n\nexports.name = GL3D;\n\nexports.attr = SCENE;\n\nexports.idRoot = SCENE;\n\nexports.idRegex = exports.attrRegex = Lib.counterRegex('scene');\n\nexports.attributes = _dereq_('./layout/attributes');\n\nexports.layoutAttributes = _dereq_('./layout/layout_attributes');\n\nexports.baseLayoutAttrOverrides = overrideAll({\n    hoverlabel: fxAttrs.hoverlabel\n}, 'plot', 'nested');\n\nexports.supplyLayoutDefaults = _dereq_('./layout/defaults');\n\nexports.plot = function plotGl3d(gd) {\n    var fullLayout = gd._fullLayout;\n    var fullData = gd._fullData;\n    var sceneIds = fullLayout._subplots[GL3D];\n\n    for(var i = 0; i < sceneIds.length; i++) {\n        var sceneId = sceneIds[i],\n            fullSceneData = getSubplotData(fullData, GL3D, sceneId),\n            sceneLayout = fullLayout[sceneId],\n            scene = sceneLayout._scene;\n\n        if(!scene) {\n            scene = new Scene({\n                id: sceneId,\n                graphDiv: gd,\n                container: gd.querySelector('.gl-container'),\n                staticPlot: gd._context.staticPlot,\n                plotGlPixelRatio: gd._context.plotGlPixelRatio\n            },\n                fullLayout\n            );\n\n            // set ref to Scene instance\n            sceneLayout._scene = scene;\n        }\n\n        // save 'initial' camera settings for modebar button\n        if(!scene.cameraInitial) {\n            scene.cameraInitial = Lib.extendDeep({}, sceneLayout.camera);\n        }\n\n        scene.plot(fullSceneData, fullLayout, gd.layout);\n    }\n};\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var oldSceneKeys = oldFullLayout._subplots[GL3D] || [];\n\n    for(var i = 0; i < oldSceneKeys.length; i++) {\n        var oldSceneKey = oldSceneKeys[i];\n\n        if(!newFullLayout[oldSceneKey] && !!oldFullLayout[oldSceneKey]._scene) {\n            oldFullLayout[oldSceneKey]._scene.destroy();\n\n            if(oldFullLayout._infolayer) {\n                oldFullLayout._infolayer\n                    .selectAll('.annotation-' + oldSceneKey)\n                    .remove();\n            }\n        }\n    }\n};\n\nexports.toSVG = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var sceneIds = fullLayout._subplots[GL3D];\n    var size = fullLayout._size;\n\n    for(var i = 0; i < sceneIds.length; i++) {\n        var sceneLayout = fullLayout[sceneIds[i]];\n        var domain = sceneLayout.domain;\n        var scene = sceneLayout._scene;\n\n        var imageData = scene.toImage('png');\n        var image = fullLayout._glimages.append('svg:image');\n\n        image.attr({\n            xmlns: xmlnsNamespaces.svg,\n            'xlink:href': imageData,\n            x: size.l + size.w * domain.x[0],\n            y: size.t + size.h * (1 - domain.y[1]),\n            width: size.w * (domain.x[1] - domain.x[0]),\n            height: size.h * (domain.y[1] - domain.y[0]),\n            preserveAspectRatio: 'none'\n        });\n\n        scene.destroy();\n    }\n};\n\n// clean scene ids, 'scene1' -> 'scene'\nexports.cleanId = function cleanId(id) {\n    if(!id.match(/^scene[0-9]*$/)) return;\n\n    var sceneNum = id.substr(5);\n    if(sceneNum === '1') sceneNum = '';\n\n    return SCENE + sceneNum;\n};\n\nexports.updateFx = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var subplotIds = fullLayout._subplots[GL3D];\n\n    for(var i = 0; i < subplotIds.length; i++) {\n        var subplotObj = fullLayout[subplotIds[i]]._scene;\n        subplotObj.updateFx(fullLayout.dragmode, fullLayout.hovermode);\n    }\n};\n\n},{\"../../components/fx/layout_attributes\":613,\"../../constants/xmlns_namespaces\":674,\"../../lib\":696,\"../../plot_api/edit_types\":728,\"../get_data\":782,\"./layout/attributes\":789,\"./layout/defaults\":793,\"./layout/layout_attributes\":794,\"./scene\":798}],789:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n    scene: {\n        valType: 'subplotid',\n        \n        dflt: 'scene',\n        editType: 'calc+clearAxisTypes',\n        \n    }\n};\n\n},{}],790:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Color = _dereq_('../../../components/color');\nvar axesAttrs = _dereq_('../../cartesian/layout_attributes');\nvar extendFlat = _dereq_('../../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../../plot_api/edit_types').overrideAll;\n\n\nmodule.exports = overrideAll({\n    visible: axesAttrs.visible,\n    showspikes: {\n        valType: 'boolean',\n        \n        dflt: true,\n        \n    },\n    spikesides: {\n        valType: 'boolean',\n        \n        dflt: true,\n        \n    },\n    spikethickness: {\n        valType: 'number',\n        \n        min: 0,\n        dflt: 2,\n        \n    },\n    spikecolor: {\n        valType: 'color',\n        \n        dflt: Color.defaultLine,\n        \n    },\n    showbackground: {\n        valType: 'boolean',\n        \n        dflt: false,\n        \n    },\n    backgroundcolor: {\n        valType: 'color',\n        \n        dflt: 'rgba(204, 204, 204, 0.5)',\n        \n    },\n    showaxeslabels: {\n        valType: 'boolean',\n        \n        dflt: true,\n        \n    },\n    color: axesAttrs.color,\n    categoryorder: axesAttrs.categoryorder,\n    categoryarray: axesAttrs.categoryarray,\n    title: axesAttrs.title,\n    titlefont: axesAttrs.titlefont,\n    type: axesAttrs.type,\n    autorange: axesAttrs.autorange,\n    rangemode: axesAttrs.rangemode,\n    range: axesAttrs.range,\n    // ticks\n    tickmode: axesAttrs.tickmode,\n    nticks: axesAttrs.nticks,\n    tick0: axesAttrs.tick0,\n    dtick: axesAttrs.dtick,\n    tickvals: axesAttrs.tickvals,\n    ticktext: axesAttrs.ticktext,\n    ticks: axesAttrs.ticks,\n    mirror: axesAttrs.mirror,\n    ticklen: axesAttrs.ticklen,\n    tickwidth: axesAttrs.tickwidth,\n    tickcolor: axesAttrs.tickcolor,\n    showticklabels: axesAttrs.showticklabels,\n    tickfont: axesAttrs.tickfont,\n    tickangle: axesAttrs.tickangle,\n    tickprefix: axesAttrs.tickprefix,\n    showtickprefix: axesAttrs.showtickprefix,\n    ticksuffix: axesAttrs.ticksuffix,\n    showticksuffix: axesAttrs.showticksuffix,\n    showexponent: axesAttrs.showexponent,\n    exponentformat: axesAttrs.exponentformat,\n    separatethousands: axesAttrs.separatethousands,\n    tickformat: axesAttrs.tickformat,\n    tickformatstops: axesAttrs.tickformatstops,\n    hoverformat: axesAttrs.hoverformat,\n    // lines and grids\n    showline: axesAttrs.showline,\n    linecolor: axesAttrs.linecolor,\n    linewidth: axesAttrs.linewidth,\n    showgrid: axesAttrs.showgrid,\n    gridcolor: extendFlat({}, axesAttrs.gridcolor,  // shouldn't this be on-par with 2D?\n        {dflt: 'rgb(204, 204, 204)'}),\n    gridwidth: axesAttrs.gridwidth,\n    zeroline: axesAttrs.zeroline,\n    zerolinecolor: axesAttrs.zerolinecolor,\n    zerolinewidth: axesAttrs.zerolinewidth\n}, 'plot', 'from-root');\n\n},{\"../../../components/color\":570,\"../../../lib/extend\":685,\"../../../plot_api/edit_types\":728,\"../../cartesian/layout_attributes\":758}],791:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar colorMix = _dereq_('tinycolor2').mix;\n\nvar Lib = _dereq_('../../../lib');\nvar Template = _dereq_('../../../plot_api/plot_template');\n\nvar layoutAttributes = _dereq_('./axis_attributes');\nvar handleTypeDefaults = _dereq_('../../cartesian/type_defaults');\nvar handleAxisDefaults = _dereq_('../../cartesian/axis_defaults');\n\nvar axesNames = ['xaxis', 'yaxis', 'zaxis'];\n\n// TODO: hard-coded lightness fraction based on gridline default colors\n// that differ from other subplot types.\nvar gridLightness = 100 * (204 - 0x44) / (255 - 0x44);\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut, options) {\n    var containerIn, containerOut;\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(containerIn, containerOut, layoutAttributes, attr, dflt);\n    }\n\n    for(var j = 0; j < axesNames.length; j++) {\n        var axName = axesNames[j];\n        containerIn = layoutIn[axName] || {};\n\n        containerOut = Template.newContainer(layoutOut, axName);\n        containerOut._id = axName[0] + options.scene;\n        containerOut._name = axName;\n\n        handleTypeDefaults(containerIn, containerOut, coerce, options);\n\n        handleAxisDefaults(\n            containerIn,\n            containerOut,\n            coerce,\n            {\n                font: options.font,\n                letter: axName[0],\n                data: options.data,\n                showGrid: true,\n                bgColor: options.bgColor,\n                calendar: options.calendar\n            },\n            options.fullLayout);\n\n        coerce('gridcolor', colorMix(containerOut.color, options.bgColor, gridLightness).toRgbString());\n        coerce('title', axName[0]);  // shouldn't this be on-par with 2D?\n\n        containerOut.setScale = Lib.noop;\n\n        if(coerce('showspikes')) {\n            coerce('spikesides');\n            coerce('spikethickness');\n            coerce('spikecolor', containerOut.color);\n        }\n\n        coerce('showaxeslabels');\n        if(coerce('showbackground')) coerce('backgroundcolor');\n    }\n};\n\n},{\"../../../lib\":696,\"../../../plot_api/plot_template\":735,\"../../cartesian/axis_defaults\":747,\"../../cartesian/type_defaults\":769,\"./axis_attributes\":790,\"tinycolor2\":514}],792:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar convertHTMLToUnicode = _dereq_('../../../lib/html2unicode');\nvar str2RgbaArray = _dereq_('../../../lib/str2rgbarray');\n\nvar AXES_NAMES = ['xaxis', 'yaxis', 'zaxis'];\n\nfunction AxesOptions() {\n    this.bounds = [\n        [-10, -10, -10],\n        [10, 10, 10]\n    ];\n\n    this.ticks = [ [], [], [] ];\n    this.tickEnable = [ true, true, true ];\n    this.tickFont = [ 'sans-serif', 'sans-serif', 'sans-serif' ];\n    this.tickSize = [ 12, 12, 12 ];\n    this.tickAngle = [ 0, 0, 0 ];\n    this.tickColor = [ [0, 0, 0, 1], [0, 0, 0, 1], [0, 0, 0, 1] ];\n    this.tickPad = [ 18, 18, 18 ];\n\n    this.labels = [ 'x', 'y', 'z' ];\n    this.labelEnable = [ true, true, true ];\n    this.labelFont = ['Open Sans', 'Open Sans', 'Open Sans'];\n    this.labelSize = [ 20, 20, 20 ];\n    this.labelColor = [ [0, 0, 0, 1], [0, 0, 0, 1], [0, 0, 0, 1] ];\n    this.labelPad = [ 30, 30, 30 ];\n\n    this.lineEnable = [ true, true, true ];\n    this.lineMirror = [ false, false, false ];\n    this.lineWidth = [ 1, 1, 1 ];\n    this.lineColor = [ [0, 0, 0, 1], [0, 0, 0, 1], [0, 0, 0, 1] ];\n\n    this.lineTickEnable = [ true, true, true ];\n    this.lineTickMirror = [ false, false, false ];\n    this.lineTickLength = [ 10, 10, 10 ];\n    this.lineTickWidth = [ 1, 1, 1 ];\n    this.lineTickColor = [ [0, 0, 0, 1], [0, 0, 0, 1], [0, 0, 0, 1] ];\n\n    this.gridEnable = [ true, true, true ];\n    this.gridWidth = [ 1, 1, 1 ];\n    this.gridColor = [ [0, 0, 0, 1], [0, 0, 0, 1], [0, 0, 0, 1] ];\n\n    this.zeroEnable = [ true, true, true ];\n    this.zeroLineColor = [ [0, 0, 0, 1], [0, 0, 0, 1], [0, 0, 0, 1] ];\n    this.zeroLineWidth = [ 2, 2, 2 ];\n\n    this.backgroundEnable = [ true, true, true ];\n    this.backgroundColor = [ [0.8, 0.8, 0.8, 0.5],\n                              [0.8, 0.8, 0.8, 0.5],\n                              [0.8, 0.8, 0.8, 0.5] ];\n\n    // some default values are stored for applying model transforms\n    this._defaultTickPad = this.tickPad.slice();\n    this._defaultLabelPad = this.labelPad.slice();\n    this._defaultLineTickLength = this.lineTickLength.slice();\n}\n\nvar proto = AxesOptions.prototype;\n\nproto.merge = function(sceneLayout) {\n    var opts = this;\n    for(var i = 0; i < 3; ++i) {\n        var axes = sceneLayout[AXES_NAMES[i]];\n\n        if(!axes.visible) {\n            opts.tickEnable[i] = false;\n            opts.labelEnable[i] = false;\n            opts.lineEnable[i] = false;\n            opts.lineTickEnable[i] = false;\n            opts.gridEnable[i] = false;\n            opts.zeroEnable[i] = false;\n            opts.backgroundEnable[i] = false;\n            continue;\n        }\n\n        // Axes labels\n        opts.labels[i] = convertHTMLToUnicode(axes.title);\n        if('titlefont' in axes) {\n            if(axes.titlefont.color) opts.labelColor[i] = str2RgbaArray(axes.titlefont.color);\n            if(axes.titlefont.family) opts.labelFont[i] = axes.titlefont.family;\n            if(axes.titlefont.size) opts.labelSize[i] = axes.titlefont.size;\n        }\n\n        // Lines\n        if('showline' in axes) opts.lineEnable[i] = axes.showline;\n        if('linecolor' in axes) opts.lineColor[i] = str2RgbaArray(axes.linecolor);\n        if('linewidth' in axes) opts.lineWidth[i] = axes.linewidth;\n\n        if('showgrid' in axes) opts.gridEnable[i] = axes.showgrid;\n        if('gridcolor' in axes) opts.gridColor[i] = str2RgbaArray(axes.gridcolor);\n        if('gridwidth' in axes) opts.gridWidth[i] = axes.gridwidth;\n\n        // Remove zeroline if axis type is log\n        // otherwise the zeroline is incorrectly drawn at 1 on log axes\n        if(axes.type === 'log') opts.zeroEnable[i] = false;\n        else if('zeroline' in axes) opts.zeroEnable[i] = axes.zeroline;\n        if('zerolinecolor' in axes) opts.zeroLineColor[i] = str2RgbaArray(axes.zerolinecolor);\n        if('zerolinewidth' in axes) opts.zeroLineWidth[i] = axes.zerolinewidth;\n\n        // tick lines\n        if('ticks' in axes && !!axes.ticks) opts.lineTickEnable[i] = true;\n        else opts.lineTickEnable[i] = false;\n\n        if('ticklen' in axes) {\n            opts.lineTickLength[i] = opts._defaultLineTickLength[i] = axes.ticklen;\n        }\n        if('tickcolor' in axes) opts.lineTickColor[i] = str2RgbaArray(axes.tickcolor);\n        if('tickwidth' in axes) opts.lineTickWidth[i] = axes.tickwidth;\n        if('tickangle' in axes) {\n            opts.tickAngle[i] = (axes.tickangle === 'auto') ?\n                -3600 : // i.e. special number to set auto option\n                Math.PI * -axes.tickangle / 180;\n        }\n\n        // tick labels\n        if('showticklabels' in axes) opts.tickEnable[i] = axes.showticklabels;\n        if('tickfont' in axes) {\n            if(axes.tickfont.color) opts.tickColor[i] = str2RgbaArray(axes.tickfont.color);\n            if(axes.tickfont.family) opts.tickFont[i] = axes.tickfont.family;\n            if(axes.tickfont.size) opts.tickSize[i] = axes.tickfont.size;\n        }\n\n        if('mirror' in axes) {\n            if(['ticks', 'all', 'allticks'].indexOf(axes.mirror) !== -1) {\n                opts.lineTickMirror[i] = true;\n                opts.lineMirror[i] = true;\n            } else if(axes.mirror === true) {\n                opts.lineTickMirror[i] = false;\n                opts.lineMirror[i] = true;\n            } else {\n                opts.lineTickMirror[i] = false;\n                opts.lineMirror[i] = false;\n            }\n        } else opts.lineMirror[i] = false;\n\n        // grid background\n        if('showbackground' in axes && axes.showbackground !== false) {\n            opts.backgroundEnable[i] = true;\n            opts.backgroundColor[i] = str2RgbaArray(axes.backgroundcolor);\n        } else opts.backgroundEnable[i] = false;\n    }\n};\n\n\nfunction createAxesOptions(plotlyOptions) {\n    var result = new AxesOptions();\n    result.merge(plotlyOptions);\n    return result;\n}\n\nmodule.exports = createAxesOptions;\n\n},{\"../../../lib/html2unicode\":694,\"../../../lib/str2rgbarray\":720}],793:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../../lib');\nvar Color = _dereq_('../../../components/color');\nvar Registry = _dereq_('../../../registry');\n\nvar handleSubplotDefaults = _dereq_('../../subplot_defaults');\nvar supplyGl3dAxisLayoutDefaults = _dereq_('./axis_defaults');\nvar layoutAttributes = _dereq_('./layout_attributes');\n\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut, fullData) {\n    var hasNon3D = layoutOut._basePlotModules.length > 1;\n\n    // some layout-wide attribute are used in all scenes\n    // if 3D is the only visible plot type\n    function getDfltFromLayout(attr) {\n        if(hasNon3D) return;\n\n        var isValid = Lib.validate(layoutIn[attr], layoutAttributes[attr]);\n        if(isValid) return layoutIn[attr];\n    }\n\n    handleSubplotDefaults(layoutIn, layoutOut, fullData, {\n        type: 'gl3d',\n        attributes: layoutAttributes,\n        handleDefaults: handleGl3dDefaults,\n        fullLayout: layoutOut,\n        font: layoutOut.font,\n        fullData: fullData,\n        getDfltFromLayout: getDfltFromLayout,\n        paper_bgcolor: layoutOut.paper_bgcolor,\n        calendar: layoutOut.calendar\n    });\n};\n\nfunction handleGl3dDefaults(sceneLayoutIn, sceneLayoutOut, coerce, opts) {\n    /*\n     * Scene numbering proceeds as follows\n     * scene\n     * scene2\n     * scene3\n     *\n     * and d.scene will be undefined or some number or number string\n     *\n     * Also write back a blank scene object to user layout so that some\n     * attributes like aspectratio can be written back dynamically.\n     */\n\n    var bgcolor = coerce('bgcolor'),\n        bgColorCombined = Color.combine(bgcolor, opts.paper_bgcolor);\n\n    var cameraKeys = ['up', 'center', 'eye'];\n\n    for(var j = 0; j < cameraKeys.length; j++) {\n        coerce('camera.' + cameraKeys[j] + '.x');\n        coerce('camera.' + cameraKeys[j] + '.y');\n        coerce('camera.' + cameraKeys[j] + '.z');\n    }\n\n    /*\n     * coerce to positive number (min 0) but also do not accept 0 (>0 not >=0)\n     * note that 0's go false with the !! call\n     */\n    var hasAspect = !!coerce('aspectratio.x') &&\n                    !!coerce('aspectratio.y') &&\n                    !!coerce('aspectratio.z');\n\n    var defaultAspectMode = hasAspect ? 'manual' : 'auto';\n    var aspectMode = coerce('aspectmode', defaultAspectMode);\n\n    /*\n     * We need aspectratio object in all the Layouts as it is dynamically set\n     * in the calculation steps, ie, we cant set the correct data now, it happens later.\n     * We must also account for the case the user sends bad ratio data with 'manual' set\n     * for the mode. In this case we must force change it here as the default coerce\n     * misses it above.\n     */\n    if(!hasAspect) {\n        sceneLayoutIn.aspectratio = sceneLayoutOut.aspectratio = {x: 1, y: 1, z: 1};\n\n        if(aspectMode === 'manual') sceneLayoutOut.aspectmode = 'auto';\n\n        /*\n         * kind of like autorange - we need the calculated aspectmode back in\n         * the input layout or relayout can cause problems later\n         */\n        sceneLayoutIn.aspectmode = sceneLayoutOut.aspectmode;\n    }\n\n    supplyGl3dAxisLayoutDefaults(sceneLayoutIn, sceneLayoutOut, {\n        font: opts.font,\n        scene: opts.id,\n        data: opts.fullData,\n        bgColor: bgColorCombined,\n        calendar: opts.calendar,\n        fullLayout: opts.fullLayout\n    });\n\n    Registry.getComponentMethod('annotations3d', 'handleDefaults')(\n        sceneLayoutIn, sceneLayoutOut, opts\n    );\n\n    coerce('dragmode', opts.getDfltFromLayout('dragmode'));\n    coerce('hovermode', opts.getDfltFromLayout('hovermode'));\n}\n\n},{\"../../../components/color\":570,\"../../../lib\":696,\"../../../registry\":828,\"../../subplot_defaults\":823,\"./axis_defaults\":791,\"./layout_attributes\":794}],794:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar gl3dAxisAttrs = _dereq_('./axis_attributes');\nvar domainAttrs = _dereq_('../../domain').attributes;\nvar extendFlat = _dereq_('../../../lib/extend').extendFlat;\nvar counterRegex = _dereq_('../../../lib').counterRegex;\n\nfunction makeCameraVector(x, y, z) {\n    return {\n        x: {\n            valType: 'number',\n            \n            dflt: x,\n            editType: 'camera'\n        },\n        y: {\n            valType: 'number',\n            \n            dflt: y,\n            editType: 'camera'\n        },\n        z: {\n            valType: 'number',\n            \n            dflt: z,\n            editType: 'camera'\n        },\n        editType: 'camera'\n    };\n}\n\nmodule.exports = {\n    _arrayAttrRegexps: [counterRegex('scene', '.annotations', true)],\n\n    bgcolor: {\n        valType: 'color',\n        \n        dflt: 'rgba(0,0,0,0)',\n        editType: 'plot'\n    },\n    camera: {\n        up: extendFlat(makeCameraVector(0, 0, 1), {\n            \n        }),\n        center: extendFlat(makeCameraVector(0, 0, 0), {\n            \n        }),\n        eye: extendFlat(makeCameraVector(1.25, 1.25, 1.25), {\n            \n        }),\n        editType: 'camera'\n    },\n    domain: domainAttrs({name: 'scene', editType: 'plot'}),\n    aspectmode: {\n        valType: 'enumerated',\n        \n        values: ['auto', 'cube', 'data', 'manual'],\n        dflt: 'auto',\n        editType: 'plot',\n        impliedEdits: {\n            'aspectratio.x': undefined,\n            'aspectratio.y': undefined,\n            'aspectratio.z': undefined\n        },\n        \n    },\n    aspectratio: { // must be positive (0's are coerced to 1)\n        x: {\n            valType: 'number',\n            \n            min: 0,\n            editType: 'plot',\n            impliedEdits: {'^aspectmode': 'manual'}\n        },\n        y: {\n            valType: 'number',\n            \n            min: 0,\n            editType: 'plot',\n            impliedEdits: {'^aspectmode': 'manual'}\n        },\n        z: {\n            valType: 'number',\n            \n            min: 0,\n            editType: 'plot',\n            impliedEdits: {'^aspectmode': 'manual'}\n        },\n        editType: 'plot',\n        impliedEdits: {aspectmode: 'manual'},\n        \n    },\n\n    xaxis: gl3dAxisAttrs,\n    yaxis: gl3dAxisAttrs,\n    zaxis: gl3dAxisAttrs,\n\n    dragmode: {\n        valType: 'enumerated',\n        \n        values: ['orbit', 'turntable', 'zoom', 'pan', false],\n        dflt: 'turntable',\n        editType: 'plot',\n        \n    },\n    hovermode: {\n        valType: 'enumerated',\n        \n        values: ['closest', false],\n        dflt: 'closest',\n        editType: 'modebar',\n        \n    },\n    editType: 'plot',\n\n    _deprecated: {\n        cameraposition: {\n            valType: 'info_array',\n            \n            editType: 'camera',\n            \n        }\n    }\n};\n\n},{\"../../../lib\":696,\"../../../lib/extend\":685,\"../../domain\":771,\"./axis_attributes\":790}],795:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar str2RGBArray = _dereq_('../../../lib/str2rgbarray');\n\nvar AXES_NAMES = ['xaxis', 'yaxis', 'zaxis'];\n\nfunction SpikeOptions() {\n    this.enabled = [true, true, true];\n    this.colors = [[0, 0, 0, 1],\n                   [0, 0, 0, 1],\n                   [0, 0, 0, 1]];\n    this.drawSides = [true, true, true];\n    this.lineWidth = [1, 1, 1];\n}\n\nvar proto = SpikeOptions.prototype;\n\nproto.merge = function(sceneLayout) {\n    for(var i = 0; i < 3; ++i) {\n        var axes = sceneLayout[AXES_NAMES[i]];\n\n        if(!axes.visible) {\n            this.enabled[i] = false;\n            this.drawSides[i] = false;\n            continue;\n        }\n\n        this.enabled[i] = axes.showspikes;\n        this.colors[i] = str2RGBArray(axes.spikecolor);\n        this.drawSides[i] = axes.spikesides;\n        this.lineWidth[i] = axes.spikethickness;\n    }\n};\n\nfunction createSpikeOptions(layout) {\n    var result = new SpikeOptions();\n    result.merge(layout);\n    return result;\n}\n\nmodule.exports = createSpikeOptions;\n\n},{\"../../../lib/str2rgbarray\":720}],796:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n/* eslint block-scoped-var: 0*/\n/* eslint no-redeclare: 0*/\n\n'use strict';\n\nmodule.exports = computeTickMarks;\n\nvar Axes = _dereq_('../../cartesian/axes');\nvar Lib = _dereq_('../../../lib');\nvar convertHTMLToUnicode = _dereq_('../../../lib/html2unicode');\n\nvar AXES_NAMES = ['xaxis', 'yaxis', 'zaxis'];\n\nvar centerPoint = [0, 0, 0];\n\nfunction contourLevelsFromTicks(ticks) {\n    var result = new Array(3);\n    for(var i = 0; i < 3; ++i) {\n        var tlevel = ticks[i];\n        var clevel = new Array(tlevel.length);\n        for(var j = 0; j < tlevel.length; ++j) {\n            clevel[j] = tlevel[j].x;\n        }\n        result[i] = clevel;\n    }\n    return result;\n}\n\nfunction computeTickMarks(scene) {\n    var axesOptions = scene.axesOptions;\n    var glRange = scene.glplot.axesPixels;\n    var sceneLayout = scene.fullSceneLayout;\n\n    var ticks = [[], [], []];\n\n    for(var i = 0; i < 3; ++i) {\n        var axes = sceneLayout[AXES_NAMES[i]];\n\n        axes._length = (glRange[i].hi - glRange[i].lo) *\n            glRange[i].pixelsPerDataUnit / scene.dataScale[i];\n\n        if(Math.abs(axes._length) === Infinity) {\n            ticks[i] = [];\n        } else {\n            axes._input_range = axes.range.slice();\n            axes.range[0] = (glRange[i].lo) / scene.dataScale[i];\n            axes.range[1] = (glRange[i].hi) / scene.dataScale[i];\n            axes._m = 1.0 / (scene.dataScale[i] * glRange[i].pixelsPerDataUnit);\n\n            if(axes.range[0] === axes.range[1]) {\n                axes.range[0] -= 1;\n                axes.range[1] += 1;\n            }\n            // this is necessary to short-circuit the 'y' handling\n            // in autotick part of calcTicks... Treating all axes as 'y' in this case\n            // running the autoticks here, then setting\n            // autoticks to false to get around the 2D handling in calcTicks.\n            var tickModeCached = axes.tickmode;\n            if(axes.tickmode === 'auto') {\n                axes.tickmode = 'linear';\n                var nticks = axes.nticks || Lib.constrain((axes._length / 40), 4, 9);\n                Axes.autoTicks(axes, Math.abs(axes.range[1] - axes.range[0]) / nticks);\n            }\n            var dataTicks = Axes.calcTicks(axes);\n            for(var j = 0; j < dataTicks.length; ++j) {\n                dataTicks[j].x = dataTicks[j].x * scene.dataScale[i];\n                dataTicks[j].text = convertHTMLToUnicode(dataTicks[j].text);\n            }\n            ticks[i] = dataTicks;\n\n\n            axes.tickmode = tickModeCached;\n        }\n    }\n\n    axesOptions.ticks = ticks;\n\n    // Calculate tick lengths dynamically\n    for(var i = 0; i < 3; ++i) {\n        centerPoint[i] = 0.5 * (scene.glplot.bounds[0][i] + scene.glplot.bounds[1][i]);\n        for(var j = 0; j < 2; ++j) {\n            axesOptions.bounds[j][i] = scene.glplot.bounds[j][i];\n        }\n    }\n\n    scene.contourLevels = contourLevelsFromTicks(ticks);\n}\n\n},{\"../../../lib\":696,\"../../../lib/html2unicode\":694,\"../../cartesian/axes\":745}],797:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nfunction xformMatrix(m, v) {\n    var out = [0, 0, 0, 0];\n    var i, j;\n\n    for(i = 0; i < 4; ++i) {\n        for(j = 0; j < 4; ++j) {\n            out[j] += m[4 * i + j] * v[i];\n        }\n    }\n\n    return out;\n}\n\nfunction project(camera, v) {\n    var p = xformMatrix(camera.projection,\n        xformMatrix(camera.view,\n        xformMatrix(camera.model, [v[0], v[1], v[2], 1])));\n    return p;\n}\n\nmodule.exports = project;\n\n},{}],798:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar createPlot = _dereq_('gl-plot3d');\nvar getContext = _dereq_('webgl-context');\nvar passiveSupported = _dereq_('has-passive-events');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Fx = _dereq_('../../components/fx');\n\nvar str2RGBAarray = _dereq_('../../lib/str2rgbarray');\nvar showNoWebGlMsg = _dereq_('../../lib/show_no_webgl_msg');\n\nvar createCamera = _dereq_('./camera');\nvar project = _dereq_('./project');\nvar createAxesOptions = _dereq_('./layout/convert');\nvar createSpikeOptions = _dereq_('./layout/spikes');\nvar computeTickMarks = _dereq_('./layout/tick_marks');\n\n\nvar STATIC_CANVAS, STATIC_CONTEXT;\n\nfunction render(scene) {\n    var trace;\n\n    // update size of svg container\n    var svgContainer = scene.svgContainer;\n    var clientRect = scene.container.getBoundingClientRect();\n    var width = clientRect.width, height = clientRect.height;\n    svgContainer.setAttributeNS(null, 'viewBox', '0 0 ' + width + ' ' + height);\n    svgContainer.setAttributeNS(null, 'width', width);\n    svgContainer.setAttributeNS(null, 'height', height);\n\n    computeTickMarks(scene);\n    scene.glplot.axes.update(scene.axesOptions);\n\n    // check if pick has changed\n    var keys = Object.keys(scene.traces);\n    var lastPicked = null;\n    var selection = scene.glplot.selection;\n    for(var i = 0; i < keys.length; ++i) {\n        trace = scene.traces[keys[i]];\n        if(trace.data.hoverinfo !== 'skip' && trace.handlePick(selection)) {\n            lastPicked = trace;\n        }\n\n        if(trace.setContourLevels) trace.setContourLevels();\n    }\n\n    function formatter(axisName, val) {\n        var axis = scene.fullSceneLayout[axisName];\n\n        return Axes.tickText(axis, axis.d2l(val), 'hover').text;\n    }\n\n    var oldEventData;\n\n    if(lastPicked !== null) {\n        var pdata = project(scene.glplot.cameraParams, selection.dataCoordinate);\n        trace = lastPicked.data;\n        var ptNumber = selection.index;\n        var hoverinfo = Fx.castHoverinfo(trace, scene.fullLayout, ptNumber);\n        var hoverinfoParts = hoverinfo.split('+');\n        var isHoverinfoAll = hoverinfo === 'all';\n\n        var xVal = formatter('xaxis', selection.traceCoordinate[0]);\n        var yVal = formatter('yaxis', selection.traceCoordinate[1]);\n        var zVal = formatter('zaxis', selection.traceCoordinate[2]);\n\n        if(!isHoverinfoAll) {\n            if(hoverinfoParts.indexOf('x') === -1) xVal = undefined;\n            if(hoverinfoParts.indexOf('y') === -1) yVal = undefined;\n            if(hoverinfoParts.indexOf('z') === -1) zVal = undefined;\n            if(hoverinfoParts.indexOf('text') === -1) selection.textLabel = undefined;\n            if(hoverinfoParts.indexOf('name') === -1) lastPicked.name = undefined;\n        }\n\n        var tx;\n\n        if(trace.type === 'cone' || trace.type === 'streamtube') {\n            var vectorTx = [];\n            if(isHoverinfoAll || hoverinfoParts.indexOf('u') !== -1) {\n                vectorTx.push('u: ' + formatter('xaxis', selection.traceCoordinate[3]));\n            }\n            if(isHoverinfoAll || hoverinfoParts.indexOf('v') !== -1) {\n                vectorTx.push('v: ' + formatter('yaxis', selection.traceCoordinate[4]));\n            }\n            if(isHoverinfoAll || hoverinfoParts.indexOf('w') !== -1) {\n                vectorTx.push('w: ' + formatter('zaxis', selection.traceCoordinate[5]));\n            }\n            if(isHoverinfoAll || hoverinfoParts.indexOf('norm') !== -1) {\n                vectorTx.push('norm: ' + selection.traceCoordinate[6].toPrecision(3));\n            }\n            if(trace.type === 'streamtube' && (isHoverinfoAll || hoverinfoParts.indexOf('divergence') !== -1)) {\n                vectorTx.push('divergence: ' + selection.traceCoordinate[7].toPrecision(3));\n            }\n            if(selection.textLabel) {\n                vectorTx.push(selection.textLabel);\n            }\n            tx = vectorTx.join('<br>');\n        } else {\n            tx = selection.textLabel;\n        }\n\n        if(scene.fullSceneLayout.hovermode) {\n            Fx.loneHover({\n                x: (0.5 + 0.5 * pdata[0] / pdata[3]) * width,\n                y: (0.5 - 0.5 * pdata[1] / pdata[3]) * height,\n                xLabel: xVal,\n                yLabel: yVal,\n                zLabel: zVal,\n                text: tx,\n                name: lastPicked.name,\n                color: Fx.castHoverOption(trace, ptNumber, 'bgcolor') || lastPicked.color,\n                borderColor: Fx.castHoverOption(trace, ptNumber, 'bordercolor'),\n                fontFamily: Fx.castHoverOption(trace, ptNumber, 'font.family'),\n                fontSize: Fx.castHoverOption(trace, ptNumber, 'font.size'),\n                fontColor: Fx.castHoverOption(trace, ptNumber, 'font.color')\n            }, {\n                container: svgContainer,\n                gd: scene.graphDiv\n            });\n        }\n\n        // TODO not sure if streamtube x/y/z should be emitted as x/y/z\n        var pointData = {\n            x: selection.traceCoordinate[0],\n            y: selection.traceCoordinate[1],\n            z: selection.traceCoordinate[2],\n            data: trace._input,\n            fullData: trace,\n            curveNumber: trace.index,\n            pointNumber: ptNumber\n        };\n\n        if(trace._module.eventData) {\n            pointData = trace._module.eventData(pointData, selection, trace, {}, ptNumber);\n        }\n\n        Fx.appendArrayPointValue(pointData, trace, ptNumber);\n\n        var eventData = {points: [pointData]};\n\n        if(selection.buttons && selection.distance < 5) {\n            scene.graphDiv.emit('plotly_click', eventData);\n        }\n        else {\n            scene.graphDiv.emit('plotly_hover', eventData);\n        }\n\n        oldEventData = eventData;\n    }\n    else {\n        Fx.loneUnhover(svgContainer);\n        scene.graphDiv.emit('plotly_unhover', oldEventData);\n    }\n\n    scene.drawAnnotations(scene);\n}\n\nfunction initializeGLPlot(scene, fullLayout, canvas, gl) {\n    var gd = scene.graphDiv;\n\n    var glplotOptions = {\n        canvas: canvas,\n        gl: gl,\n        container: scene.container,\n        axes: scene.axesOptions,\n        spikes: scene.spikeOptions,\n        pickRadius: 10,\n        snapToData: true,\n        autoScale: true,\n        autoBounds: false\n    };\n\n    // for static plots, we reuse the WebGL context\n    //  as WebKit doesn't collect them reliably\n    if(scene.staticMode) {\n        if(!STATIC_CONTEXT) {\n            STATIC_CANVAS = document.createElement('canvas');\n            STATIC_CONTEXT = getContext({\n                canvas: STATIC_CANVAS,\n                preserveDrawingBuffer: true,\n                premultipliedAlpha: true,\n                antialias: true\n            });\n            if(!STATIC_CONTEXT) {\n                throw new Error('error creating static canvas/context for image server');\n            }\n        }\n        glplotOptions.pixelRatio = scene.pixelRatio;\n        glplotOptions.gl = STATIC_CONTEXT;\n        glplotOptions.canvas = STATIC_CANVAS;\n    }\n\n    try {\n        scene.glplot = createPlot(glplotOptions);\n    }\n    catch(e) {\n        /*\n        * createPlot will throw when webgl is not enabled in the client.\n        * Lets return an instance of the module with all functions noop'd.\n        * The destroy method - which will remove the container from the DOM\n        * is overridden with a function that removes the container only.\n        */\n        return showNoWebGlMsg(scene);\n    }\n\n    var relayoutCallback = function(scene) {\n        if(scene.fullSceneLayout.dragmode === false) return;\n\n        var update = {};\n        update[scene.id + '.camera'] = getLayoutCamera(scene.camera);\n        scene.saveCamera(gd.layout);\n        scene.graphDiv.emit('plotly_relayout', update);\n    };\n\n    scene.glplot.canvas.addEventListener('mouseup', relayoutCallback.bind(null, scene));\n    scene.glplot.canvas.addEventListener('wheel', relayoutCallback.bind(null, scene), passiveSupported ? {passive: false} : false);\n\n    if(!scene.staticMode) {\n        scene.glplot.canvas.addEventListener('webglcontextlost', function(event) {\n            if(gd && gd.emit) {\n                gd.emit('plotly_webglcontextlost', {\n                    event: event,\n                    layer: scene.id\n                });\n            }\n        }, false);\n    }\n\n    if(!scene.camera) {\n        var cameraData = scene.fullSceneLayout.camera;\n        scene.camera = createCamera(scene.container, {\n            center: [cameraData.center.x, cameraData.center.y, cameraData.center.z],\n            eye: [cameraData.eye.x, cameraData.eye.y, cameraData.eye.z],\n            up: [cameraData.up.x, cameraData.up.y, cameraData.up.z],\n            zoomMin: 0.1,\n            zoomMax: 100,\n            mode: 'orbit'\n        });\n    }\n\n    scene.glplot.camera = scene.camera;\n\n    scene.glplot.oncontextloss = function() {\n        scene.recoverContext();\n    };\n\n    scene.glplot.onrender = render.bind(null, scene);\n\n    // List of scene objects\n    scene.traces = {};\n\n    return true;\n}\n\nfunction Scene(options, fullLayout) {\n\n    // create sub container for plot\n    var sceneContainer = document.createElement('div');\n    var plotContainer = options.container;\n\n    // keep a ref to the graph div to fire hover+click events\n    this.graphDiv = options.graphDiv;\n\n    // create SVG container for hover text\n    var svgContainer = document.createElementNS(\n        'http://www.w3.org/2000/svg',\n        'svg');\n    svgContainer.style.position = 'absolute';\n    svgContainer.style.top = svgContainer.style.left = '0px';\n    svgContainer.style.width = svgContainer.style.height = '100%';\n    svgContainer.style['z-index'] = 20;\n    svgContainer.style['pointer-events'] = 'none';\n    sceneContainer.appendChild(svgContainer);\n    this.svgContainer = svgContainer;\n\n    // Tag the container with the sceneID\n    sceneContainer.id = options.id;\n    sceneContainer.style.position = 'absolute';\n    sceneContainer.style.top = sceneContainer.style.left = '0px';\n    sceneContainer.style.width = sceneContainer.style.height = '100%';\n    plotContainer.appendChild(sceneContainer);\n\n    this.fullLayout = fullLayout;\n    this.id = options.id || 'scene';\n    this.fullSceneLayout = fullLayout[this.id];\n\n    // Saved from last call to plot()\n    this.plotArgs = [ [], {}, {} ];\n\n    /*\n     * Move this to calc step? Why does it work here?\n     */\n    this.axesOptions = createAxesOptions(fullLayout[this.id]);\n    this.spikeOptions = createSpikeOptions(fullLayout[this.id]);\n    this.container = sceneContainer;\n    this.staticMode = !!options.staticPlot;\n    this.pixelRatio = options.plotGlPixelRatio || 2;\n\n    // Coordinate rescaling\n    this.dataScale = [1, 1, 1];\n\n    this.contourLevels = [ [], [], [] ];\n\n    this.convertAnnotations = Registry.getComponentMethod('annotations3d', 'convert');\n    this.drawAnnotations = Registry.getComponentMethod('annotations3d', 'draw');\n\n    if(!initializeGLPlot(this, fullLayout)) return; // todo check the necessity for this line\n}\n\nvar proto = Scene.prototype;\n\nproto.recoverContext = function() {\n    var scene = this;\n    var gl = this.glplot.gl;\n    var canvas = this.glplot.canvas;\n    this.glplot.dispose();\n\n    function tryRecover() {\n        if(gl.isContextLost()) {\n            requestAnimationFrame(tryRecover);\n            return;\n        }\n        if(!initializeGLPlot(scene, scene.fullLayout, canvas, gl)) {\n            Lib.error('Catastrophic and unrecoverable WebGL error. Context lost.');\n            return;\n        }\n        scene.plot.apply(scene, scene.plotArgs);\n    }\n    requestAnimationFrame(tryRecover);\n};\n\nvar axisProperties = [ 'xaxis', 'yaxis', 'zaxis' ];\n\nfunction computeTraceBounds(scene, trace, bounds) {\n    var sceneLayout = scene.fullSceneLayout;\n\n    for(var d = 0; d < 3; d++) {\n        var axisName = axisProperties[d];\n        var axLetter = axisName.charAt(0);\n        var ax = sceneLayout[axisName];\n        var coords = trace[axLetter];\n        var calendar = trace[axLetter + 'calendar'];\n        var len = trace['_' + axLetter + 'length'];\n\n        if(!Lib.isArrayOrTypedArray(coords)) {\n            bounds[0][d] = Math.min(bounds[0][d], 0);\n            bounds[1][d] = Math.max(bounds[1][d], len - 1);\n        } else {\n            var v;\n\n            for(var i = 0; i < (len || coords.length); i++) {\n                if(Lib.isArrayOrTypedArray(coords[i])) {\n                    for(var j = 0; j < coords[i].length; ++j) {\n                        v = ax.d2l(coords[i][j], 0, calendar);\n                        if(!isNaN(v) && isFinite(v)) {\n                            bounds[0][d] = Math.min(bounds[0][d], v);\n                            bounds[1][d] = Math.max(bounds[1][d], v);\n                        }\n                    }\n                } else {\n                    v = ax.d2l(coords[i], 0, calendar);\n                    if(!isNaN(v) && isFinite(v)) {\n                        bounds[0][d] = Math.min(bounds[0][d], v);\n                        bounds[1][d] = Math.max(bounds[1][d], v);\n                    }\n                }\n            }\n        }\n    }\n}\n\nproto.plot = function(sceneData, fullLayout, layout) {\n\n    // Save parameters\n    this.plotArgs = [sceneData, fullLayout, layout];\n\n    if(this.glplot.contextLost) return;\n\n    var data, trace;\n    var i, j, axis, axisType;\n    var fullSceneLayout = fullLayout[this.id];\n    var sceneLayout = layout[this.id];\n\n    if(fullSceneLayout.bgcolor) this.glplot.clearColor = str2RGBAarray(fullSceneLayout.bgcolor);\n    else this.glplot.clearColor = [0, 0, 0, 0];\n\n    this.glplot.snapToData = true;\n\n    // Update layout\n    this.fullLayout = fullLayout;\n    this.fullSceneLayout = fullSceneLayout;\n\n    this.glplotLayout = fullSceneLayout;\n    this.axesOptions.merge(fullSceneLayout);\n    this.spikeOptions.merge(fullSceneLayout);\n\n    // Update camera and camera mode\n    this.setCamera(fullSceneLayout.camera);\n    this.updateFx(fullSceneLayout.dragmode, fullSceneLayout.hovermode);\n\n    // Update scene\n    this.glplot.update({});\n\n    // Update axes functions BEFORE updating traces\n    this.setConvert(axis);\n\n    // Convert scene data\n    if(!sceneData) sceneData = [];\n    else if(!Array.isArray(sceneData)) sceneData = [sceneData];\n\n    // Compute trace bounding box\n    var dataBounds = [\n        [Infinity, Infinity, Infinity],\n        [-Infinity, -Infinity, -Infinity]\n    ];\n    for(i = 0; i < sceneData.length; ++i) {\n        data = sceneData[i];\n        if(data.visible !== true) continue;\n\n        computeTraceBounds(this, data, dataBounds);\n    }\n    var dataScale = [1, 1, 1];\n    for(j = 0; j < 3; ++j) {\n        if(dataBounds[1][j] === dataBounds[0][j]) {\n            dataScale[j] = 1.0;\n        }\n        else {\n            dataScale[j] = 1.0 / (dataBounds[1][j] - dataBounds[0][j]);\n        }\n    }\n\n    // Save scale\n    this.dataScale = dataScale;\n\n    // after computeTraceBounds where ax._categories are filled in\n    this.convertAnnotations(this);\n\n    // Update traces\n    for(i = 0; i < sceneData.length; ++i) {\n        data = sceneData[i];\n        if(data.visible !== true) {\n            continue;\n        }\n        trace = this.traces[data.uid];\n        if(trace) {\n            if(trace.data.type === data.type) {\n                trace.update(data);\n            } else {\n                trace.dispose();\n                trace = data._module.plot(this, data);\n                this.traces[data.uid] = trace;\n            }\n        } else {\n            trace = data._module.plot(this, data);\n            this.traces[data.uid] = trace;\n        }\n        trace.name = data.name;\n    }\n\n    // Remove empty traces\n    var traceIds = Object.keys(this.traces);\n\n    trace_id_loop:\n    for(i = 0; i < traceIds.length; ++i) {\n        for(j = 0; j < sceneData.length; ++j) {\n            if(sceneData[j].uid === traceIds[i] && sceneData[j].visible === true) {\n                continue trace_id_loop;\n            }\n        }\n        trace = this.traces[traceIds[i]];\n        trace.dispose();\n        delete this.traces[traceIds[i]];\n    }\n\n    // order object per trace index\n    this.glplot.objects.sort(function(a, b) {\n        return a._trace.data.index - b._trace.data.index;\n    });\n\n    // Update ranges (needs to be called *after* objects are added due to updates)\n    var sceneBounds = [[0, 0, 0], [0, 0, 0]],\n        axisDataRange = [],\n        axisTypeRatios = {};\n\n    for(i = 0; i < 3; ++i) {\n        axis = fullSceneLayout[axisProperties[i]];\n        axisType = axis.type;\n\n        if(axisType in axisTypeRatios) {\n            axisTypeRatios[axisType].acc *= dataScale[i];\n            axisTypeRatios[axisType].count += 1;\n        }\n        else {\n            axisTypeRatios[axisType] = {\n                acc: dataScale[i],\n                count: 1\n            };\n        }\n\n        if(axis.autorange) {\n            sceneBounds[0][i] = Infinity;\n            sceneBounds[1][i] = -Infinity;\n\n            var objects = this.glplot.objects;\n            var annotations = this.fullSceneLayout.annotations || [];\n            var axLetter = axis._name.charAt(0);\n\n            for(j = 0; j < objects.length; j++) {\n                var obj = objects[j];\n                var objBounds = obj.bounds;\n                var pad = obj._trace.data._pad || 0;\n\n                if(obj.constructor.name === 'ErrorBars' && axis._lowerLogErrorBound) {\n                    sceneBounds[0][i] = Math.min(sceneBounds[0][i], axis._lowerLogErrorBound);\n                } else {\n                    sceneBounds[0][i] = Math.min(sceneBounds[0][i], objBounds[0][i] / dataScale[i] - pad);\n                }\n                sceneBounds[1][i] = Math.max(sceneBounds[1][i], objBounds[1][i] / dataScale[i] + pad);\n            }\n\n            for(j = 0; j < annotations.length; j++) {\n                var ann = annotations[j];\n\n                // N.B. not taking into consideration the arrowhead\n                if(ann.visible) {\n                    var pos = axis.r2l(ann[axLetter]);\n                    sceneBounds[0][i] = Math.min(sceneBounds[0][i], pos);\n                    sceneBounds[1][i] = Math.max(sceneBounds[1][i], pos);\n                }\n            }\n\n            if('rangemode' in axis && axis.rangemode === 'tozero') {\n                sceneBounds[0][i] = Math.min(sceneBounds[0][i], 0);\n                sceneBounds[1][i] = Math.max(sceneBounds[1][i], 0);\n            }\n            if(sceneBounds[0][i] > sceneBounds[1][i]) {\n                sceneBounds[0][i] = -1;\n                sceneBounds[1][i] = 1;\n            } else {\n                var d = sceneBounds[1][i] - sceneBounds[0][i];\n                sceneBounds[0][i] -= d / 32.0;\n                sceneBounds[1][i] += d / 32.0;\n            }\n\n            if(axis.autorange === 'reversed') {\n                // swap bounds:\n                var tmp = sceneBounds[0][i];\n                sceneBounds[0][i] = sceneBounds[1][i];\n                sceneBounds[1][i] = tmp;\n            }\n        } else {\n            var range = axis.range;\n            sceneBounds[0][i] = axis.r2l(range[0]);\n            sceneBounds[1][i] = axis.r2l(range[1]);\n        }\n        if(sceneBounds[0][i] === sceneBounds[1][i]) {\n            sceneBounds[0][i] -= 1;\n            sceneBounds[1][i] += 1;\n        }\n        axisDataRange[i] = sceneBounds[1][i] - sceneBounds[0][i];\n\n        // Update plot bounds\n        this.glplot.bounds[0][i] = sceneBounds[0][i] * dataScale[i];\n        this.glplot.bounds[1][i] = sceneBounds[1][i] * dataScale[i];\n    }\n\n    var axesScaleRatio = [1, 1, 1];\n\n    // Compute axis scale per category\n    for(i = 0; i < 3; ++i) {\n        axis = fullSceneLayout[axisProperties[i]];\n        axisType = axis.type;\n        var axisRatio = axisTypeRatios[axisType];\n        axesScaleRatio[i] = Math.pow(axisRatio.acc, 1.0 / axisRatio.count) / dataScale[i];\n    }\n\n    /*\n     * Dynamically set the aspect ratio depending on the users aspect settings\n     */\n    var axisAutoScaleFactor = 4;\n    var aspectRatio;\n\n    if(fullSceneLayout.aspectmode === 'auto') {\n\n        if(Math.max.apply(null, axesScaleRatio) / Math.min.apply(null, axesScaleRatio) <= axisAutoScaleFactor) {\n\n            /*\n             * USE DATA MODE WHEN AXIS RANGE DIMENSIONS ARE RELATIVELY EQUAL\n             */\n\n            aspectRatio = axesScaleRatio;\n        } else {\n\n            /*\n             * USE EQUAL MODE WHEN AXIS RANGE DIMENSIONS ARE HIGHLY UNEQUAL\n             */\n            aspectRatio = [1, 1, 1];\n        }\n\n    } else if(fullSceneLayout.aspectmode === 'cube') {\n        aspectRatio = [1, 1, 1];\n\n    } else if(fullSceneLayout.aspectmode === 'data') {\n        aspectRatio = axesScaleRatio;\n\n    } else if(fullSceneLayout.aspectmode === 'manual') {\n        var userRatio = fullSceneLayout.aspectratio;\n        aspectRatio = [userRatio.x, userRatio.y, userRatio.z];\n\n    } else {\n        throw new Error('scene.js aspectRatio was not one of the enumerated types');\n    }\n\n    /*\n     * Write aspect Ratio back to user data and fullLayout so that it is modifies as user\n     * manipulates the aspectmode settings and the fullLayout is up-to-date.\n     */\n    fullSceneLayout.aspectratio.x = sceneLayout.aspectratio.x = aspectRatio[0];\n    fullSceneLayout.aspectratio.y = sceneLayout.aspectratio.y = aspectRatio[1];\n    fullSceneLayout.aspectratio.z = sceneLayout.aspectratio.z = aspectRatio[2];\n\n    /*\n     * Finally assign the computed aspecratio to the glplot module. This will have an effect\n     * on the next render cycle.\n     */\n    this.glplot.aspect = aspectRatio;\n\n\n    // Update frame position for multi plots\n    var domain = fullSceneLayout.domain || null,\n        size = fullLayout._size || null;\n\n    if(domain && size) {\n        var containerStyle = this.container.style;\n        containerStyle.position = 'absolute';\n        containerStyle.left = (size.l + domain.x[0] * size.w) + 'px';\n        containerStyle.top = (size.t + (1 - domain.y[1]) * size.h) + 'px';\n        containerStyle.width = (size.w * (domain.x[1] - domain.x[0])) + 'px';\n        containerStyle.height = (size.h * (domain.y[1] - domain.y[0])) + 'px';\n    }\n\n    // force redraw so that promise is returned when rendering is completed\n    this.glplot.redraw();\n};\n\nproto.destroy = function() {\n    if(!this.glplot) return;\n\n    this.camera.mouseListener.enabled = false;\n    this.container.removeEventListener('wheel', this.camera.wheelListener);\n    this.camera = this.glplot.camera = null;\n    this.glplot.dispose();\n    this.container.parentNode.removeChild(this.container);\n    this.glplot = null;\n};\n\n// getOrbitCamera :: plotly_coords -> orbit_camera_coords\n// inverse of getLayoutCamera\nfunction getOrbitCamera(camera) {\n    return [\n        [camera.eye.x, camera.eye.y, camera.eye.z],\n        [camera.center.x, camera.center.y, camera.center.z],\n        [camera.up.x, camera.up.y, camera.up.z]\n    ];\n}\n\n// getLayoutCamera :: orbit_camera_coords -> plotly_coords\n// inverse of getOrbitCamera\nfunction getLayoutCamera(camera) {\n    return {\n        up: {x: camera.up[0], y: camera.up[1], z: camera.up[2]},\n        center: {x: camera.center[0], y: camera.center[1], z: camera.center[2]},\n        eye: {x: camera.eye[0], y: camera.eye[1], z: camera.eye[2]}\n    };\n}\n\n// get camera position in plotly coords from 'orbit-camera' coords\nproto.getCamera = function getCamera() {\n    this.glplot.camera.view.recalcMatrix(this.camera.view.lastT());\n    return getLayoutCamera(this.glplot.camera);\n};\n\n// set camera position with a set of plotly coords\nproto.setCamera = function setCamera(cameraData) {\n    this.glplot.camera.lookAt.apply(this, getOrbitCamera(cameraData));\n};\n\n// save camera to user layout (i.e. gd.layout)\nproto.saveCamera = function saveCamera(layout) {\n    var cameraData = this.getCamera(),\n        cameraNestedProp = Lib.nestedProperty(layout, this.id + '.camera'),\n        cameraDataLastSave = cameraNestedProp.get(),\n        hasChanged = false;\n\n    function same(x, y, i, j) {\n        var vectors = ['up', 'center', 'eye'],\n            components = ['x', 'y', 'z'];\n        return y[vectors[i]] && (x[vectors[i]][components[j]] === y[vectors[i]][components[j]]);\n    }\n\n    if(cameraDataLastSave === undefined) hasChanged = true;\n    else {\n        for(var i = 0; i < 3; i++) {\n            for(var j = 0; j < 3; j++) {\n                if(!same(cameraData, cameraDataLastSave, i, j)) {\n                    hasChanged = true;\n                    break;\n                }\n            }\n        }\n    }\n\n    if(hasChanged) cameraNestedProp.set(cameraData);\n\n    return hasChanged;\n};\n\nproto.updateFx = function(dragmode, hovermode) {\n    var camera = this.camera;\n\n    if(camera) {\n        // rotate and orbital are synonymous\n        if(dragmode === 'orbit') {\n            camera.mode = 'orbit';\n            camera.keyBindingMode = 'rotate';\n\n        } else if(dragmode === 'turntable') {\n            camera.up = [0, 0, 1];\n            camera.mode = 'turntable';\n            camera.keyBindingMode = 'rotate';\n\n        } else {\n\n            // none rotation modes [pan or zoom]\n            camera.keyBindingMode = dragmode;\n        }\n    }\n\n    // to put dragmode and hovermode on the same grounds from relayout\n    this.fullSceneLayout.hovermode = hovermode;\n};\n\nproto.toImage = function(format) {\n    if(!format) format = 'png';\n\n    if(this.staticMode) this.container.appendChild(STATIC_CANVAS);\n\n    // Force redraw\n    this.glplot.redraw();\n\n    // Grab context and yank out pixels\n    var gl = this.glplot.gl;\n    var w = gl.drawingBufferWidth;\n    var h = gl.drawingBufferHeight;\n\n    gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n\n    var pixels = new Uint8Array(w * h * 4);\n    gl.readPixels(0, 0, w, h, gl.RGBA, gl.UNSIGNED_BYTE, pixels);\n\n    // Flip pixels\n    for(var j = 0, k = h - 1; j < k; ++j, --k) {\n        for(var i = 0; i < w; ++i) {\n            for(var l = 0; l < 4; ++l) {\n                var tmp = pixels[4 * (w * j + i) + l];\n                pixels[4 * (w * j + i) + l] = pixels[4 * (w * k + i) + l];\n                pixels[4 * (w * k + i) + l] = tmp;\n            }\n        }\n    }\n\n    var canvas = document.createElement('canvas');\n    canvas.width = w;\n    canvas.height = h;\n    var context = canvas.getContext('2d');\n    var imageData = context.createImageData(w, h);\n    imageData.data.set(pixels);\n    context.putImageData(imageData, 0, 0);\n\n    var dataURL;\n\n    switch(format) {\n        case 'jpeg':\n            dataURL = canvas.toDataURL('image/jpeg');\n            break;\n        case 'webp':\n            dataURL = canvas.toDataURL('image/webp');\n            break;\n        default:\n            dataURL = canvas.toDataURL('image/png');\n    }\n\n    if(this.staticMode) this.container.removeChild(STATIC_CANVAS);\n\n    return dataURL;\n};\n\nproto.setConvert = function() {\n    for(var i = 0; i < 3; i++) {\n        var ax = this.fullSceneLayout[axisProperties[i]];\n        Axes.setConvert(ax, this.fullLayout);\n        ax.setScale = Lib.noop;\n    }\n};\n\nmodule.exports = Scene;\n\n},{\"../../components/fx\":612,\"../../lib\":696,\"../../lib/show_no_webgl_msg\":718,\"../../lib/str2rgbarray\":720,\"../../plots/cartesian/axes\":745,\"../../registry\":828,\"./camera\":787,\"./layout/convert\":792,\"./layout/spikes\":795,\"./layout/tick_marks\":796,\"./project\":797,\"gl-plot3d\":277,\"has-passive-events\":394,\"webgl-context\":533}],799:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function zip3(x, y, z, len) {\n    len = len || x.length;\n\n    var result = new Array(len);\n    for(var i = 0; i < len; i++) {\n        result[i] = [x[i], y[i], z[i]];\n    }\n    return result;\n};\n\n},{}],800:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fontAttrs = _dereq_('./font_attributes');\nvar colorAttrs = _dereq_('../components/color/attributes');\n\nvar globalFont = fontAttrs({\n    editType: 'calc',\n    \n});\nglobalFont.family.dflt = '\"Open Sans\", verdana, arial, sans-serif';\nglobalFont.size.dflt = 12;\nglobalFont.color.dflt = colorAttrs.defaultLine;\n\nmodule.exports = {\n    font: globalFont,\n    title: {\n        valType: 'string',\n        \n        editType: 'layoutstyle',\n        \n    },\n    titlefont: fontAttrs({\n        editType: 'layoutstyle',\n        \n    }),\n    autosize: {\n        valType: 'boolean',\n        \n        dflt: false,\n        // autosize, width, and height get special editType treatment in _relayout\n        // so we can handle noop resizes more efficiently\n        editType: 'none',\n        \n    },\n    width: {\n        valType: 'number',\n        \n        min: 10,\n        dflt: 700,\n        editType: 'plot',\n        \n    },\n    height: {\n        valType: 'number',\n        \n        min: 10,\n        dflt: 450,\n        editType: 'plot',\n        \n    },\n    margin: {\n        l: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 80,\n            editType: 'plot',\n            \n        },\n        r: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 80,\n            editType: 'plot',\n            \n        },\n        t: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 100,\n            editType: 'plot',\n            \n        },\n        b: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 80,\n            editType: 'plot',\n            \n        },\n        pad: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 0,\n            editType: 'plot',\n            \n        },\n        autoexpand: {\n            valType: 'boolean',\n            \n            dflt: true,\n            editType: 'plot'\n        },\n        editType: 'plot'\n    },\n    paper_bgcolor: {\n        valType: 'color',\n        \n        dflt: colorAttrs.background,\n        editType: 'plot',\n        \n    },\n    plot_bgcolor: {\n        // defined here, but set in cartesian.supplyLayoutDefaults\n        // because it needs to know if there are (2D) axes or not\n        valType: 'color',\n        \n        dflt: colorAttrs.background,\n        editType: 'layoutstyle',\n        \n    },\n    separators: {\n        valType: 'string',\n        \n        editType: 'plot',\n        \n    },\n    hidesources: {\n        valType: 'boolean',\n        \n        dflt: false,\n        editType: 'plot',\n        \n    },\n    showlegend: {\n        // handled in legend.supplyLayoutDefaults\n        // but included here because it's not in the legend object\n        valType: 'boolean',\n        \n        editType: 'legend',\n        \n    },\n    colorway: {\n        valType: 'colorlist',\n        dflt: colorAttrs.defaults,\n        \n        editType: 'calc',\n        \n    },\n    datarevision: {\n        valType: 'any',\n        \n        editType: 'calc',\n        \n    },\n    template: {\n        valType: 'any',\n        \n        editType: 'calc',\n        \n    },\n    modebar: {\n        orientation: {\n            valType: 'enumerated',\n            values: ['v', 'h'],\n            dflt: 'h',\n            \n            editType: 'modebar',\n            \n        },\n        bgcolor: {\n            valType: 'color',\n            \n            editType: 'modebar',\n            \n        },\n        color: {\n            valType: 'color',\n            \n            editType: 'modebar',\n            \n        },\n        activecolor: {\n            valType: 'color',\n            \n            editType: 'modebar',\n            \n        },\n        editType: 'modebar'\n    }\n};\n\n},{\"../components/color/attributes\":569,\"./font_attributes\":772}],801:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar requiredVersion = '0.45.0';\n\nmodule.exports = {\n    requiredVersion: requiredVersion,\n\n    styleUrlPrefix: 'mapbox://styles/mapbox/',\n    styleUrlSuffix: 'v9',\n\n    controlContainerClassName: 'mapboxgl-control-container',\n\n    wrongVersionErrorMsg: [\n        'Your custom plotly.js bundle is not using the correct mapbox-gl version',\n        'Please install mapbox-gl@' + requiredVersion + '.'\n    ].join('\\n'),\n\n    noAccessTokenErrorMsg: [\n        'Missing Mapbox access token.',\n        'Mapbox trace type require a Mapbox access token to be registered.',\n        'For example:',\n        '  Plotly.plot(gd, data, layout, { mapboxAccessToken: \\'my-access-token\\' });',\n        'More info here: https://www.mapbox.com/help/define-access-token/'\n    ].join('\\n'),\n\n    mapOnErrorMsg: 'Mapbox error.',\n\n    // a subset of node_modules/mapbox-gl/dist/mapbox-gl.css\n    styleRules: {\n        map: 'overflow:hidden;position:relative;',\n        'missing-css': 'display:none',\n    }\n};\n\n},{}],802:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\n/**\n * Convert plotly.js 'textposition' to mapbox-gl 'anchor' and 'offset'\n * (with the help of the icon size).\n *\n * @param {string} textpostion : plotly.js textposition value\n * @param {number} iconSize : plotly.js icon size (e.g. marker.size for traces)\n *\n * @return {object}\n *      - anchor\n *      - offset\n */\nmodule.exports = function convertTextOpts(textposition, iconSize) {\n    var parts = textposition.split(' '),\n        vPos = parts[0],\n        hPos = parts[1];\n\n    // ballpack values\n    var factor = Lib.isArrayOrTypedArray(iconSize) ? Lib.mean(iconSize) : iconSize,\n        xInc = 0.5 + (factor / 100),\n        yInc = 1.5 + (factor / 100);\n\n    var anchorVals = ['', ''],\n        offset = [0, 0];\n\n    switch(vPos) {\n        case 'top':\n            anchorVals[0] = 'top';\n            offset[1] = -yInc;\n            break;\n        case 'bottom':\n            anchorVals[0] = 'bottom';\n            offset[1] = yInc;\n            break;\n    }\n\n    switch(hPos) {\n        case 'left':\n            anchorVals[1] = 'right';\n            offset[0] = -xInc;\n            break;\n        case 'right':\n            anchorVals[1] = 'left';\n            offset[0] = xInc;\n            break;\n    }\n\n    // Mapbox text-anchor must be one of:\n    //  center, left, right, top, bottom,\n    //  top-left, top-right, bottom-left, bottom-right\n\n    var anchor;\n    if(anchorVals[0] && anchorVals[1]) anchor = anchorVals.join('-');\n    else if(anchorVals[0]) anchor = anchorVals[0];\n    else if(anchorVals[1]) anchor = anchorVals[1];\n    else anchor = 'center';\n\n    return { anchor: anchor, offset: offset };\n};\n\n},{\"../../lib\":696}],803:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar mapboxgl = _dereq_('mapbox-gl');\n\nvar Lib = _dereq_('../../lib');\nvar getSubplotCalcData = _dereq_('../../plots/get_data').getSubplotCalcData;\nvar xmlnsNamespaces = _dereq_('../../constants/xmlns_namespaces');\n\nvar createMapbox = _dereq_('./mapbox');\nvar constants = _dereq_('./constants');\n\nvar MAPBOX = 'mapbox';\n\nfor(var k in constants.styleRules) {\n    Lib.addStyleRule('.mapboxgl-' + k, constants.styleRules[k]);\n}\n\nexports.name = MAPBOX;\n\nexports.attr = 'subplot';\n\nexports.idRoot = MAPBOX;\n\nexports.idRegex = exports.attrRegex = Lib.counterRegex(MAPBOX);\n\nexports.attributes = {\n    subplot: {\n        valType: 'subplotid',\n        \n        dflt: 'mapbox',\n        editType: 'calc',\n        \n    }\n};\n\nexports.layoutAttributes = _dereq_('./layout_attributes');\n\nexports.supplyLayoutDefaults = _dereq_('./layout_defaults');\n\nexports.plot = function plotMapbox(gd) {\n    var fullLayout = gd._fullLayout;\n    var calcData = gd.calcdata;\n    var mapboxIds = fullLayout._subplots[MAPBOX];\n\n    if(mapboxgl.version !== constants.requiredVersion) {\n        throw new Error(constants.wrongVersionErrorMsg);\n    }\n\n    var accessToken = findAccessToken(gd, mapboxIds);\n    mapboxgl.accessToken = accessToken;\n\n    for(var i = 0; i < mapboxIds.length; i++) {\n        var id = mapboxIds[i],\n            subplotCalcData = getSubplotCalcData(calcData, MAPBOX, id),\n            opts = fullLayout[id],\n            mapbox = opts._subplot;\n\n        if(!mapbox) {\n            mapbox = createMapbox({\n                gd: gd,\n                container: fullLayout._glcontainer.node(),\n                id: id,\n                fullLayout: fullLayout,\n                staticPlot: gd._context.staticPlot\n            });\n\n            fullLayout[id]._subplot = mapbox;\n        }\n\n        if(!mapbox.viewInitial) {\n            mapbox.viewInitial = {\n                center: Lib.extendFlat({}, opts.center),\n                zoom: opts.zoom,\n                bearing: opts.bearing,\n                pitch: opts.pitch\n            };\n        }\n\n        mapbox.plot(subplotCalcData, fullLayout, gd._promises);\n    }\n};\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var oldMapboxKeys = oldFullLayout._subplots[MAPBOX] || [];\n\n    for(var i = 0; i < oldMapboxKeys.length; i++) {\n        var oldMapboxKey = oldMapboxKeys[i];\n\n        if(!newFullLayout[oldMapboxKey] && !!oldFullLayout[oldMapboxKey]._subplot) {\n            oldFullLayout[oldMapboxKey]._subplot.destroy();\n        }\n    }\n};\n\nexports.toSVG = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var subplotIds = fullLayout._subplots[MAPBOX];\n    var size = fullLayout._size;\n\n    for(var i = 0; i < subplotIds.length; i++) {\n        var opts = fullLayout[subplotIds[i]],\n            domain = opts.domain,\n            mapbox = opts._subplot;\n\n        var imageData = mapbox.toImage('png');\n        var image = fullLayout._glimages.append('svg:image');\n\n        image.attr({\n            xmlns: xmlnsNamespaces.svg,\n            'xlink:href': imageData,\n            x: size.l + size.w * domain.x[0],\n            y: size.t + size.h * (1 - domain.y[1]),\n            width: size.w * (domain.x[1] - domain.x[0]),\n            height: size.h * (domain.y[1] - domain.y[0]),\n            preserveAspectRatio: 'none'\n        });\n\n        mapbox.destroy();\n    }\n};\n\nfunction findAccessToken(gd, mapboxIds) {\n    var fullLayout = gd._fullLayout,\n        context = gd._context;\n\n    // special case for Mapbox Atlas users\n    if(context.mapboxAccessToken === '') return '';\n\n    // Take the first token we find in a mapbox subplot.\n    // These default to the context value but may be overridden.\n    for(var i = 0; i < mapboxIds.length; i++) {\n        var opts = fullLayout[mapboxIds[i]];\n\n        if(opts.accesstoken) {\n            return opts.accesstoken;\n        }\n    }\n\n    throw new Error(constants.noAccessTokenErrorMsg);\n}\n\nexports.updateFx = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var subplotIds = fullLayout._subplots[MAPBOX];\n\n    for(var i = 0; i < subplotIds.length; i++) {\n        var subplotObj = fullLayout[subplotIds[i]]._subplot;\n        subplotObj.updateFx(fullLayout);\n    }\n};\n\n},{\"../../constants/xmlns_namespaces\":674,\"../../lib\":696,\"../../plots/get_data\":782,\"./constants\":801,\"./layout_attributes\":805,\"./layout_defaults\":806,\"./mapbox\":807,\"mapbox-gl\":409}],804:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar convertTextOpts = _dereq_('./convert_text_opts');\n\nfunction MapboxLayer(mapbox, index) {\n    this.mapbox = mapbox;\n    this.map = mapbox.map;\n\n    this.uid = mapbox.uid + '-' + 'layer' + index;\n\n    this.idSource = this.uid + '-source';\n    this.idLayer = this.uid + '-layer';\n\n    // some state variable to check if a remove/add step is needed\n    this.sourceType = null;\n    this.source = null;\n    this.layerType = null;\n    this.below = null;\n\n    // is layer currently visible\n    this.visible = false;\n}\n\nvar proto = MapboxLayer.prototype;\n\nproto.update = function update(opts) {\n    if(!this.visible) {\n        // IMPORTANT: must create source before layer to not cause errors\n        this.updateSource(opts);\n        this.updateLayer(opts);\n    } else if(this.needsNewSource(opts)) {\n        // IMPORTANT: must delete layer before source to not cause errors\n        this.removeLayer();\n        this.updateSource(opts);\n        this.updateLayer(opts);\n    } else if(this.needsNewLayer(opts)) {\n        this.updateLayer(opts);\n    } else {\n        this.updateStyle(opts);\n    }\n\n    this.visible = isVisible(opts);\n};\n\nproto.needsNewSource = function(opts) {\n    // for some reason changing layer to 'fill' or 'symbol'\n    // w/o changing the source throws an exception in mapbox-gl 0.18 ;\n    // stay safe and make new source on type changes\n    return (\n        this.sourceType !== opts.sourcetype ||\n        this.source !== opts.source ||\n        this.layerType !== opts.type\n    );\n};\n\nproto.needsNewLayer = function(opts) {\n    return (\n        this.layerType !== opts.type ||\n        this.below !== opts.below\n    );\n};\n\nproto.updateSource = function(opts) {\n    var map = this.map;\n\n    if(map.getSource(this.idSource)) map.removeSource(this.idSource);\n\n    this.sourceType = opts.sourcetype;\n    this.source = opts.source;\n\n    if(!isVisible(opts)) return;\n\n    var sourceOpts = convertSourceOpts(opts);\n\n    map.addSource(this.idSource, sourceOpts);\n};\n\nproto.updateLayer = function(opts) {\n    var map = this.map;\n    var convertedOpts = convertOpts(opts);\n\n    this.removeLayer();\n    this.layerType = opts.type;\n\n    if(isVisible(opts)) {\n        map.addLayer({\n            id: this.idLayer,\n            source: this.idSource,\n            'source-layer': opts.sourcelayer || '',\n            type: opts.type,\n            layout: convertedOpts.layout,\n            paint: convertedOpts.paint\n        }, opts.below);\n    }\n};\n\nproto.updateStyle = function(opts) {\n    if(isVisible(opts)) {\n        var convertedOpts = convertOpts(opts);\n        this.mapbox.setOptions(this.idLayer, 'setLayoutProperty', convertedOpts.layout);\n        this.mapbox.setOptions(this.idLayer, 'setPaintProperty', convertedOpts.paint);\n    }\n};\n\nproto.removeLayer = function() {\n    var map = this.map;\n    if(map.getLayer(this.idLayer)) {\n        map.removeLayer(this.idLayer);\n    }\n};\n\nproto.dispose = function dispose() {\n    var map = this.map;\n    map.removeLayer(this.idLayer);\n    map.removeSource(this.idSource);\n};\n\nfunction isVisible(opts) {\n    var source = opts.source;\n\n    return opts.visible && (\n        Lib.isPlainObject(source) ||\n        (typeof source === 'string' && source.length > 0)\n    );\n}\n\nfunction convertOpts(opts) {\n    var layout = {},\n        paint = {};\n\n    switch(opts.type) {\n\n        case 'circle':\n            Lib.extendFlat(paint, {\n                'circle-radius': opts.circle.radius,\n                'circle-color': opts.color,\n                'circle-opacity': opts.opacity\n            });\n            break;\n\n        case 'line':\n            Lib.extendFlat(paint, {\n                'line-width': opts.line.width,\n                'line-color': opts.color,\n                'line-opacity': opts.opacity\n            });\n            break;\n\n        case 'fill':\n            Lib.extendFlat(paint, {\n                'fill-color': opts.color,\n                'fill-outline-color': opts.fill.outlinecolor,\n                'fill-opacity': opts.opacity\n\n                // no way to pass specify outline width at the moment\n            });\n            break;\n\n        case 'symbol':\n            var symbol = opts.symbol,\n                textOpts = convertTextOpts(symbol.textposition, symbol.iconsize);\n\n            Lib.extendFlat(layout, {\n                'icon-image': symbol.icon + '-15',\n                'icon-size': symbol.iconsize / 10,\n\n                'text-field': symbol.text,\n                'text-size': symbol.textfont.size,\n                'text-anchor': textOpts.anchor,\n                'text-offset': textOpts.offset\n\n                // TODO font family\n                // 'text-font': symbol.textfont.family.split(', '),\n            });\n\n            Lib.extendFlat(paint, {\n                'icon-color': opts.color,\n                'text-color': symbol.textfont.color,\n                'text-opacity': opts.opacity\n            });\n            break;\n    }\n\n    return { layout: layout, paint: paint };\n}\n\nfunction convertSourceOpts(opts) {\n    var sourceType = opts.sourcetype;\n    var source = opts.source;\n    var sourceOpts = {type: sourceType};\n    var field;\n\n    if(sourceType === 'geojson') {\n        field = 'data';\n    } else if(sourceType === 'vector') {\n        field = typeof source === 'string' ? 'url' : 'tiles';\n    }\n\n    sourceOpts[field] = source;\n    return sourceOpts;\n}\n\nmodule.exports = function createMapboxLayer(mapbox, index, opts) {\n    var mapboxLayer = new MapboxLayer(mapbox, index);\n\n    mapboxLayer.update(opts);\n\n    return mapboxLayer;\n};\n\n},{\"../../lib\":696,\"./convert_text_opts\":802}],805:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar defaultLine = _dereq_('../../components/color').defaultLine;\nvar domainAttrs = _dereq_('../domain').attributes;\nvar fontAttrs = _dereq_('../font_attributes');\nvar textposition = _dereq_('../../traces/scatter/attributes').textposition;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\n\nvar fontAttr = fontAttrs({\n    \n});\nfontAttr.family.dflt = 'Open Sans Regular, Arial Unicode MS Regular';\n\nmodule.exports = overrideAll({\n    _arrayAttrRegexps: [Lib.counterRegex('mapbox', '.layers', true)],\n\n    domain: domainAttrs({name: 'mapbox'}),\n\n    accesstoken: {\n        valType: 'string',\n        noBlank: true,\n        strict: true,\n        \n        \n    },\n    style: {\n        valType: 'any',\n        values: ['basic', 'streets', 'outdoors', 'light', 'dark', 'satellite', 'satellite-streets'],\n        dflt: 'basic',\n        \n        \n    },\n\n    center: {\n        lon: {\n            valType: 'number',\n            dflt: 0,\n            \n            \n        },\n        lat: {\n            valType: 'number',\n            dflt: 0,\n            \n            \n        }\n    },\n    zoom: {\n        valType: 'number',\n        dflt: 1,\n        \n        \n    },\n    bearing: {\n        valType: 'number',\n        dflt: 0,\n        \n        \n    },\n    pitch: {\n        valType: 'number',\n        dflt: 0,\n        \n        \n    },\n\n    layers: templatedArray('layer', {\n        visible: {\n            valType: 'boolean',\n            \n            dflt: true,\n            \n        },\n        sourcetype: {\n            valType: 'enumerated',\n            values: ['geojson', 'vector'],\n            dflt: 'geojson',\n            \n            \n        },\n\n        source: {\n            valType: 'any',\n            \n            \n        },\n\n        sourcelayer: {\n            valType: 'string',\n            dflt: '',\n            \n            \n        },\n\n        type: {\n            valType: 'enumerated',\n            values: ['circle', 'line', 'fill', 'symbol'],\n            dflt: 'circle',\n            \n            \n        },\n\n        // attributes shared between all types\n        below: {\n            valType: 'string',\n            dflt: '',\n            \n            \n        },\n        color: {\n            valType: 'color',\n            dflt: defaultLine,\n            \n            \n        },\n        opacity: {\n            valType: 'number',\n            min: 0,\n            max: 1,\n            dflt: 1,\n            \n            \n        },\n\n        // type-specific style attributes\n        circle: {\n            radius: {\n                valType: 'number',\n                dflt: 15,\n                \n                \n            }\n        },\n\n        line: {\n            width: {\n                valType: 'number',\n                dflt: 2,\n                \n                \n            }\n        },\n\n        fill: {\n            outlinecolor: {\n                valType: 'color',\n                dflt: defaultLine,\n                \n                \n            }\n        },\n\n        symbol: {\n            icon: {\n                valType: 'string',\n                dflt: 'marker',\n                \n                \n            },\n            iconsize: {\n                valType: 'number',\n                dflt: 10,\n                \n                \n            },\n            text: {\n                valType: 'string',\n                dflt: '',\n                \n                \n            },\n            textfont: fontAttr,\n            textposition: Lib.extendFlat({}, textposition, { arrayOk: false })\n        }\n    })\n}, 'plot', 'from-root');\n\n},{\"../../components/color\":570,\"../../lib\":696,\"../../plot_api/edit_types\":728,\"../../plot_api/plot_template\":735,\"../../traces/scatter/attributes\":1044,\"../domain\":771,\"../font_attributes\":772}],806:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar handleSubplotDefaults = _dereq_('../subplot_defaults');\nvar handleArrayContainerDefaults = _dereq_('../array_container_defaults');\nvar layoutAttributes = _dereq_('./layout_attributes');\n\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut, fullData) {\n    handleSubplotDefaults(layoutIn, layoutOut, fullData, {\n        type: 'mapbox',\n        attributes: layoutAttributes,\n        handleDefaults: handleDefaults,\n        partition: 'y',\n        accessToken: layoutOut._mapboxAccessToken\n    });\n};\n\nfunction handleDefaults(containerIn, containerOut, coerce, opts) {\n    coerce('accesstoken', opts.accessToken);\n    coerce('style');\n    coerce('center.lon');\n    coerce('center.lat');\n    coerce('zoom');\n    coerce('bearing');\n    coerce('pitch');\n\n    handleArrayContainerDefaults(containerIn, containerOut, {\n        name: 'layers',\n        handleItemDefaults: handleLayerDefaults\n    });\n\n    // copy ref to input container to update 'center' and 'zoom' on map move\n    containerOut._input = containerIn;\n}\n\nfunction handleLayerDefaults(layerIn, layerOut) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(layerIn, layerOut, layoutAttributes.layers, attr, dflt);\n    }\n\n    var visible = coerce('visible');\n    if(visible) {\n        var sourceType = coerce('sourcetype');\n        coerce('source');\n\n        if(sourceType === 'vector') coerce('sourcelayer');\n\n        // maybe add smart default based off GeoJSON geometry?\n        var type = coerce('type');\n\n        coerce('below');\n        coerce('color');\n        coerce('opacity');\n\n        if(type === 'circle') {\n            coerce('circle.radius');\n        }\n\n        if(type === 'line') {\n            coerce('line.width');\n        }\n\n        if(type === 'fill') {\n            coerce('fill.outlinecolor');\n        }\n\n        if(type === 'symbol') {\n            coerce('symbol.icon');\n            coerce('symbol.iconsize');\n\n            coerce('symbol.text');\n            Lib.coerceFont(coerce, 'symbol.textfont');\n            coerce('symbol.textposition');\n        }\n    }\n}\n\n},{\"../../lib\":696,\"../array_container_defaults\":741,\"../subplot_defaults\":823,\"./layout_attributes\":805}],807:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar mapboxgl = _dereq_('mapbox-gl');\n\nvar Fx = _dereq_('../../components/fx');\nvar Lib = _dereq_('../../lib');\nvar dragElement = _dereq_('../../components/dragelement');\nvar prepSelect = _dereq_('../cartesian/select').prepSelect;\nvar selectOnClick = _dereq_('../cartesian/select').selectOnClick;\nvar constants = _dereq_('./constants');\nvar layoutAttributes = _dereq_('./layout_attributes');\nvar createMapboxLayer = _dereq_('./layers');\n\nfunction Mapbox(opts) {\n    this.id = opts.id;\n    this.gd = opts.gd;\n    this.container = opts.container;\n    this.isStatic = opts.staticPlot;\n\n    var fullLayout = opts.fullLayout;\n\n    // unique id for this Mapbox instance\n    this.uid = fullLayout._uid + '-' + this.id;\n\n    // full mapbox options (N.B. needs to be updated on every updates)\n    this.opts = fullLayout[this.id];\n\n    // create framework on instantiation for a smoother first plot call\n    this.div = null;\n    this.xaxis = null;\n    this.yaxis = null;\n    this.createFramework(fullLayout);\n\n    // state variables used to infer how and what to update\n    this.map = null;\n    this.accessToken = null;\n    this.styleObj = null;\n    this.traceHash = {};\n    this.layerList = [];\n}\n\nvar proto = Mapbox.prototype;\n\nmodule.exports = function createMapbox(opts) {\n    return new Mapbox(opts);\n};\n\nproto.plot = function(calcData, fullLayout, promises) {\n    var self = this;\n\n    // feed in new mapbox options\n    var opts = self.opts = fullLayout[this.id];\n\n    // remove map and create a new map if access token has change\n    if(self.map && (opts.accesstoken !== self.accessToken)) {\n        self.map.remove();\n        self.map = null;\n        self.styleObj = null;\n        self.traceHash = [];\n        self.layerList = {};\n    }\n\n    var promise;\n\n    if(!self.map) {\n        promise = new Promise(function(resolve, reject) {\n            self.createMap(calcData, fullLayout, resolve, reject);\n        });\n    } else {\n        promise = new Promise(function(resolve, reject) {\n            self.updateMap(calcData, fullLayout, resolve, reject);\n        });\n    }\n\n    promises.push(promise);\n};\n\nproto.createMap = function(calcData, fullLayout, resolve, reject) {\n    var self = this;\n    var gd = self.gd;\n    var opts = self.opts;\n\n    // store style id and URL or object\n    var styleObj = self.styleObj = getStyleObj(opts.style);\n\n    // store access token associated with this map\n    self.accessToken = opts.accesstoken;\n\n    // create the map!\n    var map = self.map = new mapboxgl.Map({\n        container: self.div,\n\n        style: styleObj.style,\n        center: convertCenter(opts.center),\n        zoom: opts.zoom,\n        bearing: opts.bearing,\n        pitch: opts.pitch,\n\n        interactive: !self.isStatic,\n        preserveDrawingBuffer: self.isStatic,\n\n        doubleClickZoom: false,\n        boxZoom: false\n    });\n\n    // clear navigation container\n    var className = constants.controlContainerClassName;\n    var controlContainer = self.div.getElementsByClassName(className)[0];\n    self.div.removeChild(controlContainer);\n\n    // make sure canvas does not inherit left and top css\n    map._canvas.style.left = '0px';\n    map._canvas.style.top = '0px';\n\n    self.rejectOnError(reject);\n\n    map.once('load', function() {\n        self.updateData(calcData);\n        self.updateLayout(fullLayout);\n        self.resolveOnRender(resolve);\n    });\n\n    if(self.isStatic) return;\n\n    var wheeling = false;\n\n    // keep track of pan / zoom in user layout and emit relayout event\n    map.on('moveend', function(eventData) {\n        if(!self.map) return;\n\n        var view = self.getView();\n\n        opts._input.center = opts.center = view.center;\n        opts._input.zoom = opts.zoom = view.zoom;\n        opts._input.bearing = opts.bearing = view.bearing;\n        opts._input.pitch = opts.pitch = view.pitch;\n\n        // 'moveend' gets triggered by map.setCenter, map.setZoom,\n        // map.setBearing and map.setPitch.\n        //\n        // Here, we make sure that 'plotly_relayout' is\n        // triggered here only when the 'moveend' originates from a\n        // mouse target (filtering out API calls) to not\n        // duplicate 'plotly_relayout' events.\n\n        if(eventData.originalEvent || wheeling) {\n            emitRelayoutFromView(view);\n        }\n        wheeling = false;\n    });\n\n    map.on('wheel', function() {\n        wheeling = true;\n    });\n\n    map.on('mousemove', function(evt) {\n        var bb = self.div.getBoundingClientRect();\n\n        // some hackery to get Fx.hover to work\n        evt.clientX = evt.point.x + bb.left;\n        evt.clientY = evt.point.y + bb.top;\n\n        evt.target.getBoundingClientRect = function() { return bb; };\n\n        self.xaxis.p2c = function() { return evt.lngLat.lng; };\n        self.yaxis.p2c = function() { return evt.lngLat.lat; };\n\n        Fx.hover(gd, evt, self.id);\n    });\n\n    function unhover() {\n        Fx.loneUnhover(fullLayout._toppaper);\n    }\n\n    map.on('dragstart', unhover);\n    map.on('zoomstart', unhover);\n\n    map.on('dblclick', function() {\n        gd.emit('plotly_doubleclick', null);\n\n        var viewInitial = self.viewInitial;\n\n        map.setCenter(convertCenter(viewInitial.center));\n        map.setZoom(viewInitial.zoom);\n        map.setBearing(viewInitial.bearing);\n        map.setPitch(viewInitial.pitch);\n\n        var viewNow = self.getView();\n\n        opts._input.center = opts.center = viewNow.center;\n        opts._input.zoom = opts.zoom = viewNow.zoom;\n        opts._input.bearing = opts.bearing = viewNow.bearing;\n        opts._input.pitch = opts.pitch = viewNow.pitch;\n\n        emitRelayoutFromView(viewNow);\n    });\n\n    function emitRelayoutFromView(view) {\n        var id = self.id;\n        var evtData = {};\n        for(var k in view) {\n            evtData[id + '.' + k] = view[k];\n        }\n        gd.emit('plotly_relayout', evtData);\n    }\n\n    // define event handlers on map creation, to keep one ref per map,\n    // so that map.on / map.off in updateFx works as expected\n    self.clearSelect = function() {\n        gd._fullLayout._zoomlayer.selectAll('.select-outline').remove();\n    };\n\n    /**\n     * Returns a click handler function that is supposed\n     * to handle clicks in pan mode.\n     */\n    self.onClickInPanFn = function(dragOptions) {\n        return function(evt) {\n            var clickMode = gd._fullLayout.clickmode;\n\n            if(clickMode.indexOf('select') > -1) {\n                selectOnClick(evt.originalEvent, gd, [self.xaxis], [self.yaxis], self.id, dragOptions);\n            }\n\n            if(clickMode.indexOf('event') > -1) {\n                // TODO: this does not support right-click. If we want to support it, we\n                // would likely need to change mapbox to use dragElement instead of straight\n                // mapbox event binding. Or perhaps better, make a simple wrapper with the\n                // right mousedown, mousemove, and mouseup handlers just for a left/right click\n                // pie would use this too.\n                Fx.click(gd, evt.originalEvent);\n            }\n        };\n    };\n};\n\nproto.updateMap = function(calcData, fullLayout, resolve, reject) {\n    var self = this;\n    var map = self.map;\n\n    self.rejectOnError(reject);\n\n    var styleObj = getStyleObj(self.opts.style);\n\n    if(self.styleObj.id !== styleObj.id) {\n        self.styleObj = styleObj;\n        map.setStyle(styleObj.style);\n\n        map.once('styledata', function() {\n            // need to rebuild trace layers on reload\n            // to avoid 'lost event' errors\n            self.traceHash = {};\n            self.updateData(calcData);\n            self.updateLayout(fullLayout);\n            self.resolveOnRender(resolve);\n        });\n    } else {\n        self.updateData(calcData);\n        self.updateLayout(fullLayout);\n        self.resolveOnRender(resolve);\n    }\n};\n\nproto.updateData = function(calcData) {\n    var traceHash = this.traceHash;\n    var traceObj, trace, i, j;\n\n    // update or create trace objects\n    for(i = 0; i < calcData.length; i++) {\n        var calcTrace = calcData[i];\n\n        trace = calcTrace[0].trace;\n        traceObj = traceHash[trace.uid];\n\n        if(traceObj) {\n            traceObj.update(calcTrace);\n        } else if(trace._module) {\n            traceHash[trace.uid] = trace._module.plot(this, calcTrace);\n        }\n    }\n\n    // remove empty trace objects\n    var ids = Object.keys(traceHash);\n    id_loop:\n    for(i = 0; i < ids.length; i++) {\n        var id = ids[i];\n\n        for(j = 0; j < calcData.length; j++) {\n            trace = calcData[j][0].trace;\n            if(id === trace.uid) continue id_loop;\n        }\n\n        traceObj = traceHash[id];\n        traceObj.dispose();\n        delete traceHash[id];\n    }\n};\n\nproto.updateLayout = function(fullLayout) {\n    var map = this.map,\n        opts = this.opts;\n\n    map.setCenter(convertCenter(opts.center));\n    map.setZoom(opts.zoom);\n    map.setBearing(opts.bearing);\n    map.setPitch(opts.pitch);\n\n    this.updateLayers();\n    this.updateFramework(fullLayout);\n    this.updateFx(fullLayout);\n    this.map.resize();\n};\n\nproto.resolveOnRender = function(resolve) {\n    var map = this.map;\n\n    map.on('render', function onRender() {\n        if(map.loaded()) {\n            map.off('render', onRender);\n            // resolve at end of render loop\n            setTimeout(resolve, 0);\n        }\n    });\n};\n\nproto.rejectOnError = function(reject) {\n    var map = this.map;\n\n    function handler() {\n        reject(new Error(constants.mapOnErrorMsg));\n    }\n\n    map.once('error', handler);\n    map.once('style.error', handler);\n    map.once('source.error', handler);\n    map.once('tile.error', handler);\n    map.once('layer.error', handler);\n};\n\nproto.createFramework = function(fullLayout) {\n    var self = this;\n\n    var div = self.div = document.createElement('div');\n    div.id = self.uid;\n    div.style.position = 'absolute';\n    self.container.appendChild(div);\n\n    // create mock x/y axes for hover routine\n    self.xaxis = {\n        _id: 'x',\n        c2p: function(v) { return self.project(v).x; }\n    };\n    self.yaxis = {\n        _id: 'y',\n        c2p: function(v) { return self.project(v).y; }\n    };\n\n    self.updateFramework(fullLayout);\n};\n\nproto.updateFx = function(fullLayout) {\n    var self = this;\n    var map = self.map;\n    var gd = self.gd;\n\n    if(self.isStatic) return;\n\n    function invert(pxpy) {\n        var obj = self.map.unproject(pxpy);\n        return [obj.lng, obj.lat];\n    }\n\n    var dragMode = fullLayout.dragmode;\n    var fillRangeItems;\n\n    if(dragMode === 'select') {\n        fillRangeItems = function(eventData, poly) {\n            var ranges = eventData.range = {};\n            ranges[self.id] = [\n                invert([poly.xmin, poly.ymin]),\n                invert([poly.xmax, poly.ymax])\n            ];\n        };\n    } else {\n        fillRangeItems = function(eventData, poly, pts) {\n            var dataPts = eventData.lassoPoints = {};\n            dataPts[self.id] = pts.filtered.map(invert);\n        };\n    }\n\n    // Note: dragOptions is needed to be declared for all dragmodes because\n    // it's the object that holds persistent selection state.\n    // Merge old dragOptions with new to keep possibly initialized\n    // persistent selection state.\n    var oldDragOptions = self.dragOptions;\n    self.dragOptions = Lib.extendDeep(oldDragOptions || {}, {\n        element: self.div,\n        gd: gd,\n        plotinfo: {\n            id: self.id,\n            xaxis: self.xaxis,\n            yaxis: self.yaxis,\n            fillRangeItems: fillRangeItems\n        },\n        xaxes: [self.xaxis],\n        yaxes: [self.yaxis],\n        subplot: self.id\n    });\n\n    // Unregister the old handler before potentially registering\n    // a new one. Otherwise multiple click handlers might\n    // be registered resulting in unwanted behavior.\n    map.off('click', self.onClickInPanHandler);\n    if(dragMode === 'select' || dragMode === 'lasso') {\n        map.dragPan.disable();\n        map.on('zoomstart', self.clearSelect);\n\n        self.dragOptions.prepFn = function(e, startX, startY) {\n            prepSelect(e, startX, startY, self.dragOptions, dragMode);\n        };\n\n        dragElement.init(self.dragOptions);\n    } else {\n        map.dragPan.enable();\n        map.off('zoomstart', self.clearSelect);\n        self.div.onmousedown = null;\n\n        // TODO: this does not support right-click. If we want to support it, we\n        // would likely need to change mapbox to use dragElement instead of straight\n        // mapbox event binding. Or perhaps better, make a simple wrapper with the\n        // right mousedown, mousemove, and mouseup handlers just for a left/right click\n        // pie would use this too.\n        self.onClickInPanHandler = self.onClickInPanFn(self.dragOptions);\n        map.on('click', self.onClickInPanHandler);\n    }\n};\n\nproto.updateFramework = function(fullLayout) {\n    var domain = fullLayout[this.id].domain;\n    var size = fullLayout._size;\n\n    var style = this.div.style;\n    style.width = size.w * (domain.x[1] - domain.x[0]) + 'px';\n    style.height = size.h * (domain.y[1] - domain.y[0]) + 'px';\n    style.left = size.l + domain.x[0] * size.w + 'px';\n    style.top = size.t + (1 - domain.y[1]) * size.h + 'px';\n\n    this.xaxis._offset = size.l + domain.x[0] * size.w;\n    this.xaxis._length = size.w * (domain.x[1] - domain.x[0]);\n\n    this.yaxis._offset = size.t + (1 - domain.y[1]) * size.h;\n    this.yaxis._length = size.h * (domain.y[1] - domain.y[0]);\n};\n\nproto.updateLayers = function() {\n    var opts = this.opts;\n    var layers = opts.layers;\n    var layerList = this.layerList;\n    var i;\n\n    // if the layer arrays don't match,\n    // don't try to be smart,\n    // delete them all, and start all over.\n\n    if(layers.length !== layerList.length) {\n        for(i = 0; i < layerList.length; i++) {\n            layerList[i].dispose();\n        }\n\n        layerList = this.layerList = [];\n\n        for(i = 0; i < layers.length; i++) {\n            layerList.push(createMapboxLayer(this, i, layers[i]));\n        }\n    } else {\n        for(i = 0; i < layers.length; i++) {\n            layerList[i].update(layers[i]);\n        }\n    }\n};\n\nproto.destroy = function() {\n    if(this.map) {\n        this.map.remove();\n        this.map = null;\n        this.container.removeChild(this.div);\n    }\n};\n\nproto.toImage = function() {\n    this.map.stop();\n    return this.map.getCanvas().toDataURL();\n};\n\n// convenience wrapper to create set multiple layer\n// 'layout' or 'paint options at once.\nproto.setOptions = function(id, methodName, opts) {\n    for(var k in opts) {\n        this.map[methodName](id, k, opts[k]);\n    }\n};\n\n// convenience method to project a [lon, lat] array to pixel coords\nproto.project = function(v) {\n    return this.map.project(new mapboxgl.LngLat(v[0], v[1]));\n};\n\n// get map's current view values in plotly.js notation\nproto.getView = function() {\n    var map = this.map;\n\n    var mapCenter = map.getCenter();\n    var center = { lon: mapCenter.lng, lat: mapCenter.lat };\n\n    return {\n        center: center,\n        zoom: map.getZoom(),\n        bearing: map.getBearing(),\n        pitch: map.getPitch()\n    };\n};\n\nfunction getStyleObj(val) {\n    var styleValues = layoutAttributes.style.values;\n    var styleDflt = layoutAttributes.style.dflt;\n    var styleObj = {};\n\n    if(Lib.isPlainObject(val)) {\n        styleObj.id = val.id;\n        styleObj.style = val;\n    } else if(typeof val === 'string') {\n        styleObj.id = val;\n        styleObj.style = (styleValues.indexOf(val) !== -1) ?\n             convertStyleVal(val) :\n             val;\n    } else {\n        styleObj.id = styleDflt;\n        styleObj.style = convertStyleVal(styleDflt);\n    }\n\n    styleObj.transition = {duration: 0, delay: 0};\n\n    return styleObj;\n}\n\n// if style is part of the 'official' mapbox values, add URL prefix and suffix\nfunction convertStyleVal(val) {\n    return constants.styleUrlPrefix + val + '-' + constants.styleUrlSuffix;\n}\n\nfunction convertCenter(center) {\n    return [center.lon, center.lat];\n}\n\n},{\"../../components/dragelement\":592,\"../../components/fx\":612,\"../../lib\":696,\"../cartesian/select\":763,\"./constants\":801,\"./layers\":804,\"./layout_attributes\":805,\"mapbox-gl\":409}],808:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n// This is used exclusively by components inside component arrays,\n// hence the 'arraydraw' editType. If this ever gets used elsewhere\n// we could generalize it as a function ala font_attributes\nmodule.exports = {\n    t: {\n        valType: 'number',\n        dflt: 0,\n        \n        editType: 'arraydraw',\n        \n    },\n    r: {\n        valType: 'number',\n        dflt: 0,\n        \n        editType: 'arraydraw',\n        \n    },\n    b: {\n        valType: 'number',\n        dflt: 0,\n        \n        editType: 'arraydraw',\n        \n    },\n    l: {\n        valType: 'number',\n        dflt: 0,\n        \n        editType: 'arraydraw',\n        \n    },\n    editType: 'arraydraw'\n};\n\n},{}],809:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Registry = _dereq_('../registry');\nvar PlotSchema = _dereq_('../plot_api/plot_schema');\nvar Template = _dereq_('../plot_api/plot_template');\nvar Lib = _dereq_('../lib');\nvar Color = _dereq_('../components/color');\nvar BADNUM = _dereq_('../constants/numerical').BADNUM;\n\nvar axisIDs = _dereq_('../plots/cartesian/axis_ids');\n\nvar animationAttrs = _dereq_('./animation_attributes');\nvar frameAttrs = _dereq_('./frame_attributes');\n\nvar relinkPrivateKeys = Lib.relinkPrivateKeys;\nvar _ = Lib._;\n\nvar plots = module.exports = {};\n\n// Expose registry methods on Plots for backward-compatibility\nLib.extendFlat(plots, Registry);\n\nplots.attributes = _dereq_('./attributes');\nplots.attributes.type.values = plots.allTypes;\nplots.fontAttrs = _dereq_('./font_attributes');\nplots.layoutAttributes = _dereq_('./layout_attributes');\n\n// TODO make this a plot attribute?\nplots.fontWeight = 'normal';\n\nvar transformsRegistry = plots.transformsRegistry;\n\nvar commandModule = _dereq_('./command');\nplots.executeAPICommand = commandModule.executeAPICommand;\nplots.computeAPICommandBindings = commandModule.computeAPICommandBindings;\nplots.manageCommandObserver = commandModule.manageCommandObserver;\nplots.hasSimpleAPICommandBindings = commandModule.hasSimpleAPICommandBindings;\n\n// in some cases the browser doesn't seem to know how big\n// the text is at first, so it needs to draw it,\n// then wait a little, then draw it again\nplots.redrawText = function(gd) {\n    gd = Lib.getGraphDiv(gd);\n\n    // do not work if polar is present\n    if((gd.data && gd.data[0] && gd.data[0].r)) return;\n\n    return new Promise(function(resolve) {\n        setTimeout(function() {\n            Registry.getComponentMethod('annotations', 'draw')(gd);\n            Registry.getComponentMethod('legend', 'draw')(gd);\n\n            (gd.calcdata || []).forEach(function(d) {\n                if(d[0] && d[0].t && d[0].t.cb) d[0].t.cb();\n            });\n\n            resolve(plots.previousPromises(gd));\n        }, 300);\n    });\n};\n\n// resize plot about the container size\nplots.resize = function(gd) {\n    gd = Lib.getGraphDiv(gd);\n\n    return new Promise(function(resolve, reject) {\n\n        function isHidden(gd) {\n            var display = window.getComputedStyle(gd).display;\n            return !display || display === 'none';\n        }\n\n        if(!gd || isHidden(gd)) {\n            reject(new Error('Resize must be passed a displayed plot div element.'));\n        }\n\n        if(gd._redrawTimer) clearTimeout(gd._redrawTimer);\n\n        gd._redrawTimer = setTimeout(function() {\n            // return if there is nothing to resize or is hidden\n            if(!gd.layout || (gd.layout.width && gd.layout.height) || isHidden(gd)) {\n                resolve(gd);\n                return;\n            }\n\n            delete gd.layout.width;\n            delete gd.layout.height;\n\n            // autosizing doesn't count as a change that needs saving\n            var oldchanged = gd.changed;\n\n            // nor should it be included in the undo queue\n            gd.autoplay = true;\n\n            Registry.call('relayout', gd, {autosize: true}).then(function() {\n                gd.changed = oldchanged;\n                resolve(gd);\n            });\n        }, 100);\n    });\n};\n\n\n// for use in Lib.syncOrAsync, check if there are any\n// pending promises in this plot and wait for them\nplots.previousPromises = function(gd) {\n    if((gd._promises || []).length) {\n        return Promise.all(gd._promises)\n            .then(function() { gd._promises = []; });\n    }\n};\n\n/**\n * Adds the 'Edit chart' link.\n * Note that now Plotly.plot() calls this so it can regenerate whenever it replots\n *\n * Add source links to your graph inside the 'showSources' config argument.\n */\nplots.addLinks = function(gd) {\n    // Do not do anything if showLink and showSources are not set to true in config\n    if(!gd._context.showLink && !gd._context.showSources) return;\n\n    var fullLayout = gd._fullLayout;\n\n    var linkContainer = Lib.ensureSingle(fullLayout._paper, 'text', 'js-plot-link-container', function(s) {\n        s.style({\n            'font-family': '\"Open Sans\", Arial, sans-serif',\n            'font-size': '12px',\n            'fill': Color.defaultLine,\n            'pointer-events': 'all'\n        })\n        .each(function() {\n            var links = d3.select(this);\n            links.append('tspan').classed('js-link-to-tool', true);\n            links.append('tspan').classed('js-link-spacer', true);\n            links.append('tspan').classed('js-sourcelinks', true);\n        });\n    });\n\n    // The text node inside svg\n    var text = linkContainer.node();\n    var attrs = {y: fullLayout._paper.attr('height') - 9};\n\n    // If text's width is bigger than the layout\n    // Check that text is a child node or document.body\n    // because otherwise IE/Edge might throw an exception\n    // when calling getComputedTextLength().\n    // Apparently offsetParent is null for invisibles.\n    if(document.body.contains(text) && text.getComputedTextLength() >= (fullLayout.width - 20)) {\n        // Align the text at the left\n        attrs['text-anchor'] = 'start';\n        attrs.x = 5;\n    }\n    else {\n        // Align the text at the right\n        attrs['text-anchor'] = 'end';\n        attrs.x = fullLayout._paper.attr('width') - 7;\n    }\n\n    linkContainer.attr(attrs);\n\n    var toolspan = linkContainer.select('.js-link-to-tool'),\n        spacespan = linkContainer.select('.js-link-spacer'),\n        sourcespan = linkContainer.select('.js-sourcelinks');\n\n    if(gd._context.showSources) gd._context.showSources(gd);\n\n    // 'view in plotly' link for embedded plots\n    if(gd._context.showLink) positionPlayWithData(gd, toolspan);\n\n    // separator if we have both sources and tool link\n    spacespan.text((toolspan.text() && sourcespan.text()) ? ' - ' : '');\n};\n\n// note that now this function is only adding the brand in\n// iframes and 3rd-party apps\nfunction positionPlayWithData(gd, container) {\n    container.text('');\n    var link = container.append('a')\n        .attr({\n            'xlink:xlink:href': '#',\n            'class': 'link--impt link--embedview',\n            'font-weight': 'bold'\n        })\n        .text(gd._context.linkText + ' ' + String.fromCharCode(187));\n\n    if(gd._context.sendData) {\n        link.on('click', function() {\n            plots.sendDataToCloud(gd);\n        });\n    }\n    else {\n        var path = window.location.pathname.split('/');\n        var query = window.location.search;\n        link.attr({\n            'xlink:xlink:show': 'new',\n            'xlink:xlink:href': '/' + path[2].split('.')[0] + '/' + path[1] + query\n        });\n    }\n}\n\nplots.sendDataToCloud = function(gd) {\n    gd.emit('plotly_beforeexport');\n\n    var baseUrl = (window.PLOTLYENV || {}).BASE_URL || gd._context.plotlyServerURL;\n\n    var hiddenformDiv = d3.select(gd)\n        .append('div')\n        .attr('id', 'hiddenform')\n        .style('display', 'none');\n\n    var hiddenform = hiddenformDiv\n        .append('form')\n        .attr({\n            action: baseUrl + '/external',\n            method: 'post',\n            target: '_blank'\n        });\n\n    var hiddenformInput = hiddenform\n        .append('input')\n        .attr({\n            type: 'text',\n            name: 'data'\n        });\n\n    hiddenformInput.node().value = plots.graphJson(gd, false, 'keepdata');\n    hiddenform.node().submit();\n    hiddenformDiv.remove();\n\n    gd.emit('plotly_afterexport');\n    return false;\n};\n\nvar d3FormatKeys = [\n    'days', 'shortDays', 'months', 'shortMonths', 'periods',\n    'dateTime', 'date', 'time',\n    'decimal', 'thousands', 'grouping', 'currency'\n];\n\nvar extraFormatKeys = [\n    'year', 'month', 'dayMonth', 'dayMonthYear'\n];\n\n/*\n * Fill in default values\n * @param {DOM element} gd\n * @param {object} opts\n * @param {boolean} opts.skipUpdateCalc: normally if the existing gd.calcdata looks\n *   compatible with the new gd._fullData we finish by linking the new _fullData traces\n *   to the old gd.calcdata, so it's correctly set if we're not going to recalc. But also,\n *   if there are calcTransforms on the trace, we first remap data arrays from the old full\n *   trace into the new one. Use skipUpdateCalc to defer this (needed by Plotly.react)\n *\n * gd.data, gd.layout:\n *   are precisely what the user specified (except as modified by cleanData/cleanLayout),\n *   these fields shouldn't be modified (except for filling in some auto values)\n *   nor used directly after the supply defaults step.\n *\n * gd._fullData, gd._fullLayout:\n *   are complete descriptions of how to draw the plot,\n *   use these fields in all required computations.\n *\n * gd._fullLayout._modules\n *   is a list of all the trace modules required to draw the plot.\n *\n * gd._fullLayout._visibleModules\n *   subset of _modules, a list of modules corresponding to visible:true traces.\n *\n * gd._fullLayout._basePlotModules\n *   is a list of all the plot modules required to draw the plot.\n *\n * gd._fullLayout._transformModules\n *   is a list of all the transform modules invoked.\n *\n */\nplots.supplyDefaults = function(gd, opts) {\n    var skipUpdateCalc = opts && opts.skipUpdateCalc;\n    var oldFullLayout = gd._fullLayout || {};\n\n    if(oldFullLayout._skipDefaults) {\n        delete oldFullLayout._skipDefaults;\n        return;\n    }\n\n    var newFullLayout = gd._fullLayout = {};\n    var newLayout = gd.layout || {};\n\n    var oldFullData = gd._fullData || [];\n    var newFullData = gd._fullData = [];\n    var newData = gd.data || [];\n\n    var oldCalcdata = gd.calcdata || [];\n\n    var context = gd._context || {};\n\n    var i;\n\n    // Create all the storage space for frames, but only if doesn't already exist\n    if(!gd._transitionData) plots.createTransitionData(gd);\n\n    // So we only need to do this once (and since we have gd here)\n    // get the translated placeholder titles.\n    // These ones get used as default values so need to be known at supplyDefaults\n    // others keep their blank defaults but render the placeholder as desired later\n    // TODO: make these work the same way, only inserting the placeholder text at draw time?\n    // The challenge is that this has slightly different behavior right now in editable mode:\n    // using the placeholder as default makes this text permanently (but lightly) visible,\n    // but explicit '' for these titles gives you a placeholder that's hidden until you mouse\n    // over it - so you're not distracted by it if you really don't want a title, but if you do\n    // and you're new to plotly you may not be able to find it.\n    // When editable=false the two behave the same, no title is drawn.\n    newFullLayout._dfltTitle = {\n        plot: _(gd, 'Click to enter Plot title'),\n        x: _(gd, 'Click to enter X axis title'),\n        y: _(gd, 'Click to enter Y axis title'),\n        colorbar: _(gd, 'Click to enter Colorscale title'),\n        annotation: _(gd, 'new text')\n    };\n    newFullLayout._traceWord = _(gd, 'trace');\n\n    var formatObj = getFormatObj(gd, d3FormatKeys);\n\n    // stash the token from context so mapbox subplots can use it as default\n    newFullLayout._mapboxAccessToken = context.mapboxAccessToken;\n\n    // first fill in what we can of layout without looking at data\n    // because fullData needs a few things from layout\n    if(oldFullLayout._initialAutoSizeIsDone) {\n\n        // coerce the updated layout while preserving width and height\n        var oldWidth = oldFullLayout.width,\n            oldHeight = oldFullLayout.height;\n\n        plots.supplyLayoutGlobalDefaults(newLayout, newFullLayout, formatObj);\n\n        if(!newLayout.width) newFullLayout.width = oldWidth;\n        if(!newLayout.height) newFullLayout.height = oldHeight;\n        plots.sanitizeMargins(newFullLayout);\n    }\n    else {\n\n        // coerce the updated layout and autosize if needed\n        plots.supplyLayoutGlobalDefaults(newLayout, newFullLayout, formatObj);\n\n        var missingWidthOrHeight = (!newLayout.width || !newLayout.height),\n            autosize = newFullLayout.autosize,\n            autosizable = context.autosizable,\n            initialAutoSize = missingWidthOrHeight && (autosize || autosizable);\n\n        if(initialAutoSize) plots.plotAutoSize(gd, newLayout, newFullLayout);\n        else if(missingWidthOrHeight) plots.sanitizeMargins(newFullLayout);\n\n        // for backwards-compatibility with Plotly v1.x.x\n        if(!autosize && missingWidthOrHeight) {\n            newLayout.width = newFullLayout.width;\n            newLayout.height = newFullLayout.height;\n        }\n    }\n\n    newFullLayout._d3locale = getFormatter(formatObj, newFullLayout.separators);\n    newFullLayout._extraFormat = getFormatObj(gd, extraFormatKeys);\n\n    newFullLayout._initialAutoSizeIsDone = true;\n\n    // keep track of how many traces are inputted\n    newFullLayout._dataLength = newData.length;\n\n    // clear the lists of trace and baseplot modules, and subplots\n    newFullLayout._modules = [];\n    newFullLayout._visibleModules = [];\n    newFullLayout._basePlotModules = [];\n    var subplots = newFullLayout._subplots = emptySubplotLists();\n\n    // initialize axis and subplot hash objects for splom-generated grids\n    var splomAxes = newFullLayout._splomAxes = {x: {}, y: {}};\n    var splomSubplots = newFullLayout._splomSubplots = {};\n    // initialize splom grid defaults\n    newFullLayout._splomGridDflt = {};\n\n    // for stacked area traces to share config across traces\n    newFullLayout._scatterStackOpts = {};\n    // for the first scatter trace on each subplot (so it knows tonext->tozero)\n    newFullLayout._firstScatter = {};\n\n    // for traces to request a default rangeslider on their x axes\n    // eg set `_requestRangeslider.x2 = true` for xaxis2\n    newFullLayout._requestRangeslider = {};\n\n    // pull uids from old data to use as new defaults\n    newFullLayout._traceUids = getTraceUids(oldFullData, newData);\n\n    // then do the data\n    newFullLayout._globalTransforms = (gd._context || {}).globalTransforms;\n    plots.supplyDataDefaults(newData, newFullData, newLayout, newFullLayout);\n\n    // redo grid size defaults with info about splom x/y axes,\n    // and fill in generated cartesian axes and subplots\n    var splomXa = Object.keys(splomAxes.x);\n    var splomYa = Object.keys(splomAxes.y);\n    if(splomXa.length > 1 && splomYa.length > 1) {\n        Registry.getComponentMethod('grid', 'sizeDefaults')(newLayout, newFullLayout);\n\n        for(i = 0; i < splomXa.length; i++) {\n            Lib.pushUnique(subplots.xaxis, splomXa[i]);\n        }\n        for(i = 0; i < splomYa.length; i++) {\n            Lib.pushUnique(subplots.yaxis, splomYa[i]);\n        }\n        for(var k in splomSubplots) {\n            Lib.pushUnique(subplots.cartesian, k);\n        }\n    }\n\n    // attach helper method to check whether a plot type is present on graph\n    newFullLayout._has = plots._hasPlotType.bind(newFullLayout);\n\n    if(oldFullData.length === newFullData.length) {\n        for(i = 0; i < newFullData.length; i++) {\n            relinkPrivateKeys(newFullData[i], oldFullData[i]);\n        }\n    }\n\n    // finally, fill in the pieces of layout that may need to look at data\n    plots.supplyLayoutModuleDefaults(newLayout, newFullLayout, newFullData, gd._transitionData);\n\n    // Special cases that introduce interactions between traces.\n    // This is after relinkPrivateKeys so we can use those in crossTraceDefaults\n    // and after layout module defaults, so we can use eg barmode\n    var _modules = newFullLayout._visibleModules;\n    var crossTraceDefaultsFuncs = [];\n    for(i = 0; i < _modules.length; i++) {\n        var funci = _modules[i].crossTraceDefaults;\n        // some trace types share crossTraceDefaults (ie histogram2d, histogram2dcontour)\n        if(funci) Lib.pushUnique(crossTraceDefaultsFuncs, funci);\n    }\n    for(i = 0; i < crossTraceDefaultsFuncs.length; i++) {\n        crossTraceDefaultsFuncs[i](newFullData, newFullLayout);\n    }\n\n    // turn on flag to optimize large splom-only graphs\n    // mostly by omitting SVG layers during Cartesian.drawFramework\n    newFullLayout._hasOnlyLargeSploms = (\n        newFullLayout._basePlotModules.length === 1 &&\n        newFullLayout._basePlotModules[0].name === 'splom' &&\n        splomXa.length > 15 &&\n        splomYa.length > 15 &&\n        newFullLayout.shapes.length === 0 &&\n        newFullLayout.images.length === 0\n    );\n\n    // TODO remove in v2.0.0\n    // add has-plot-type refs to fullLayout for backward compatibility\n    newFullLayout._hasCartesian = newFullLayout._has('cartesian');\n    newFullLayout._hasGeo = newFullLayout._has('geo');\n    newFullLayout._hasGL3D = newFullLayout._has('gl3d');\n    newFullLayout._hasGL2D = newFullLayout._has('gl2d');\n    newFullLayout._hasTernary = newFullLayout._has('ternary');\n    newFullLayout._hasPie = newFullLayout._has('pie');\n\n    // relink / initialize subplot axis objects\n    plots.linkSubplots(newFullData, newFullLayout, oldFullData, oldFullLayout);\n\n    // clean subplots and other artifacts from previous plot calls\n    plots.cleanPlot(newFullData, newFullLayout, oldFullData, oldFullLayout);\n\n    // relink functions and _ attributes to promote consistency between plots\n    relinkPrivateKeys(newFullLayout, oldFullLayout);\n\n    // TODO may return a promise\n    plots.doAutoMargin(gd);\n\n    // set scale after auto margin routine\n    var axList = axisIDs.list(gd);\n    for(i = 0; i < axList.length; i++) {\n        var ax = axList[i];\n        ax.setScale();\n    }\n\n    // update object references in calcdata\n    if(!skipUpdateCalc && oldCalcdata.length === newFullData.length) {\n        plots.supplyDefaultsUpdateCalc(oldCalcdata, newFullData);\n    }\n};\n\nplots.supplyDefaultsUpdateCalc = function(oldCalcdata, newFullData) {\n    for(var i = 0; i < newFullData.length; i++) {\n        var newTrace = newFullData[i];\n        var cd0 = oldCalcdata[i][0];\n        if(cd0 && cd0.trace) {\n            var oldTrace = cd0.trace;\n            if(oldTrace._hasCalcTransform) {\n                var arrayAttrs = oldTrace._arrayAttrs;\n                var j, astr, oldArrayVal;\n\n                for(j = 0; j < arrayAttrs.length; j++) {\n                    astr = arrayAttrs[j];\n                    oldArrayVal = Lib.nestedProperty(oldTrace, astr).get().slice();\n                    Lib.nestedProperty(newTrace, astr).set(oldArrayVal);\n                }\n            }\n            cd0.trace = newTrace;\n        }\n    }\n};\n\n/**\n * Create a list of uid strings satisfying (in this order of importance):\n * 1. all unique, all strings\n * 2. matches input uids if provided\n * 3. matches previous data uids\n */\nfunction getTraceUids(oldFullData, newData) {\n    var len = newData.length;\n    var oldFullInput = [];\n    var i, prevFullInput;\n    for(i = 0; i < oldFullData.length; i++) {\n        var thisFullInput = oldFullData[i]._fullInput;\n        if(thisFullInput !== prevFullInput) oldFullInput.push(thisFullInput);\n        prevFullInput = thisFullInput;\n    }\n    var oldLen = oldFullInput.length;\n    var out = new Array(len);\n    var seenUids = {};\n\n    function setUid(uid, i) {\n        out[i] = uid;\n        seenUids[uid] = 1;\n    }\n\n    function tryUid(uid, i) {\n        if(uid && typeof uid === 'string' && !seenUids[uid]) {\n            setUid(uid, i);\n            return true;\n        }\n    }\n\n    for(i = 0; i < len; i++) {\n        if(tryUid(newData[i].uid, i)) continue;\n        if(i < oldLen && tryUid(oldFullInput[i].uid, i)) continue;\n        setUid(Lib.randstr(seenUids), i);\n    }\n\n    return out;\n}\n\n/**\n * Make a container for collecting subplots we need to display.\n *\n * Finds all subplot types we need to enumerate once and caches it,\n * but makes a new output object each time.\n * Single-trace subplots (which have no `id`) such as pie, table, etc\n * do not need to be collected because we just draw all visible traces.\n */\nvar collectableSubplotTypes;\nfunction emptySubplotLists() {\n    var out = {};\n    var i, j;\n\n    if(!collectableSubplotTypes) {\n        collectableSubplotTypes = [];\n\n        var subplotsRegistry = Registry.subplotsRegistry;\n\n        for(var subplotType in subplotsRegistry) {\n            var subplotModule = subplotsRegistry[subplotType];\n            var subplotAttr = subplotModule.attr;\n\n            if(subplotAttr) {\n                collectableSubplotTypes.push(subplotType);\n\n                // special case, currently just for cartesian:\n                // we need to enumerate axes, not just subplots\n                if(Array.isArray(subplotAttr)) {\n                    for(j = 0; j < subplotAttr.length; j++) {\n                        Lib.pushUnique(collectableSubplotTypes, subplotAttr[j]);\n                    }\n                }\n            }\n        }\n    }\n\n    for(i = 0; i < collectableSubplotTypes.length; i++) {\n        out[collectableSubplotTypes[i]] = [];\n    }\n    return out;\n}\n\n/**\n * getFormatObj: use _context to get the format object from locale.\n * Used to get d3.locale argument object and extraFormat argument object\n *\n * Regarding d3.locale argument :\n * decimal and thousands can be overridden later by layout.separators\n * grouping and currency are not presently used by our automatic number\n * formatting system but can be used by custom formats.\n *\n * @returns {object} d3.locale format object\n */\nfunction getFormatObj(gd, formatKeys) {\n    var locale = gd._context.locale;\n    if(!locale) locale === 'en-US';\n\n    var formatDone = false;\n    var formatObj = {};\n\n    function includeFormat(newFormat) {\n        var formatFinished = true;\n        for(var i = 0; i < formatKeys.length; i++) {\n            var formatKey = formatKeys[i];\n            if(!formatObj[formatKey]) {\n                if(newFormat[formatKey]) {\n                    formatObj[formatKey] = newFormat[formatKey];\n                }\n                else formatFinished = false;\n            }\n        }\n        if(formatFinished) formatDone = true;\n    }\n\n    // same as localize, look for format parts in each format spec in the chain\n    for(var i = 0; i < 2; i++) {\n        var locales = gd._context.locales;\n        for(var j = 0; j < 2; j++) {\n            var formatj = (locales[locale] || {}).format;\n            if(formatj) {\n                includeFormat(formatj);\n                if(formatDone) break;\n            }\n            locales = Registry.localeRegistry;\n        }\n\n        var baseLocale = locale.split('-')[0];\n        if(formatDone || baseLocale === locale) break;\n        locale = baseLocale;\n    }\n\n    // lastly pick out defaults from english (non-US, as DMY is so much more common)\n    if(!formatDone) includeFormat(Registry.localeRegistry.en.format);\n\n    return formatObj;\n}\n\n/**\n * getFormatter: combine the final separators with the locale formatting object\n * we pulled earlier to generate number and time formatters\n * TODO: remove separators in v2, only use locale, so we don't need this step?\n *\n * @param {object} formatObj: d3.locale format object\n * @param {string} separators: length-2 string to override decimal and thousands\n *   separators in number formatting\n *\n * @returns {object} {numberFormat, timeFormat} d3 formatter factory functions\n *   for numbers and time\n */\nfunction getFormatter(formatObj, separators) {\n    formatObj.decimal = separators.charAt(0);\n    formatObj.thousands = separators.charAt(1);\n\n    return d3.locale(formatObj);\n}\n\n// Create storage for all of the data related to frames and transitions:\nplots.createTransitionData = function(gd) {\n    // Set up the default keyframe if it doesn't exist:\n    if(!gd._transitionData) {\n        gd._transitionData = {};\n    }\n\n    if(!gd._transitionData._frames) {\n        gd._transitionData._frames = [];\n    }\n\n    if(!gd._transitionData._frameHash) {\n        gd._transitionData._frameHash = {};\n    }\n\n    if(!gd._transitionData._counter) {\n        gd._transitionData._counter = 0;\n    }\n\n    if(!gd._transitionData._interruptCallbacks) {\n        gd._transitionData._interruptCallbacks = [];\n    }\n};\n\n// helper function to be bound to fullLayout to check\n// whether a certain plot type is present on plot\n// or trace has a category\nplots._hasPlotType = function(category) {\n    var i;\n\n    // check base plot modules\n    var basePlotModules = this._basePlotModules || [];\n    for(i = 0; i < basePlotModules.length; i++) {\n        if(basePlotModules[i].name === category) return true;\n    }\n\n    // check trace modules (including non-visible:true)\n    var modules = this._modules || [];\n    for(i = 0; i < modules.length; i++) {\n        var name = modules[i].name;\n        if(name === category) return true;\n        // N.B. this is modules[i] along with 'categories' as a hash object\n        var _module = Registry.modules[name];\n        if(_module && _module.categories[category]) return true;\n    }\n\n    return false;\n};\n\nplots.cleanPlot = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var i, j;\n\n    var basePlotModules = oldFullLayout._basePlotModules || [];\n    for(i = 0; i < basePlotModules.length; i++) {\n        var _module = basePlotModules[i];\n\n        if(_module.clean) {\n            _module.clean(newFullData, newFullLayout, oldFullData, oldFullLayout);\n        }\n    }\n\n    var hadGl = oldFullLayout._has && oldFullLayout._has('gl');\n    var hasGl = newFullLayout._has && newFullLayout._has('gl');\n\n    if(hadGl && !hasGl) {\n        if(oldFullLayout._glcontainer !== undefined) {\n            oldFullLayout._glcontainer.selectAll('.gl-canvas').remove();\n            oldFullLayout._glcontainer.selectAll('.no-webgl').remove();\n            oldFullLayout._glcanvas = null;\n        }\n    }\n\n    var hasInfoLayer = !!oldFullLayout._infolayer;\n\n    oldLoop:\n    for(i = 0; i < oldFullData.length; i++) {\n        var oldTrace = oldFullData[i],\n            oldUid = oldTrace.uid;\n\n        for(j = 0; j < newFullData.length; j++) {\n            var newTrace = newFullData[j];\n\n            if(oldUid === newTrace.uid) continue oldLoop;\n        }\n\n        // clean old colorbars\n        if(hasInfoLayer) {\n            oldFullLayout._infolayer.select('.cb' + oldUid).remove();\n        }\n    }\n\n    if(oldFullLayout._zoomlayer) {\n        oldFullLayout._zoomlayer.selectAll('.select-outline').remove();\n    }\n};\n\nplots.linkSubplots = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var i, j;\n\n    var oldSubplots = oldFullLayout._plots || {};\n    var newSubplots = newFullLayout._plots = {};\n    var newSubplotList = newFullLayout._subplots;\n\n    var mockGd = {\n        _fullData: newFullData,\n        _fullLayout: newFullLayout\n    };\n\n    var ids = newSubplotList.cartesian.concat(newSubplotList.gl2d || []);\n\n    for(i = 0; i < ids.length; i++) {\n        var id = ids[i];\n        var oldSubplot = oldSubplots[id];\n        var xaxis = axisIDs.getFromId(mockGd, id, 'x');\n        var yaxis = axisIDs.getFromId(mockGd, id, 'y');\n        var plotinfo;\n\n        // link or create subplot object\n        if(oldSubplot) {\n            plotinfo = newSubplots[id] = oldSubplot;\n        } else {\n            plotinfo = newSubplots[id] = {};\n            plotinfo.id = id;\n        }\n\n        // update x and y axis layout object refs\n        plotinfo.xaxis = xaxis;\n        plotinfo.yaxis = yaxis;\n\n        // By default, we clip at the subplot level,\n        // but if one trace on a given subplot has *cliponaxis* set to false,\n        // we need to clip at the trace module layer level;\n        // find this out here, once of for all.\n        plotinfo._hasClipOnAxisFalse = false;\n\n        for(j = 0; j < newFullData.length; j++) {\n            var trace = newFullData[j];\n\n            if(\n                trace.xaxis === plotinfo.xaxis._id &&\n                trace.yaxis === plotinfo.yaxis._id &&\n                trace.cliponaxis === false\n            ) {\n                plotinfo._hasClipOnAxisFalse = true;\n                break;\n            }\n        }\n    }\n\n    // while we're at it, link overlaying axes to their main axes and\n    // anchored axes to the axes they're anchored to\n    var axList = axisIDs.list(mockGd, null, true);\n    for(i = 0; i < axList.length; i++) {\n        var ax = axList[i];\n        var mainAx = null;\n\n        if(ax.overlaying) {\n            mainAx = axisIDs.getFromId(mockGd, ax.overlaying);\n\n            // you cannot overlay an axis that's already overlaying another\n            if(mainAx && mainAx.overlaying) {\n                ax.overlaying = false;\n                mainAx = null;\n            }\n        }\n        ax._mainAxis = mainAx || ax;\n\n        /*\n         * For now force overlays to overlay completely... so they\n         * can drag together correctly and share backgrounds.\n         * Later perhaps we make separate axis domain and\n         * tick/line domain or something, so they can still share\n         * the (possibly larger) dragger and background but don't\n         * have to both be drawn over that whole domain\n         */\n        if(mainAx) ax.domain = mainAx.domain.slice();\n\n        ax._anchorAxis = ax.anchor === 'free' ?\n            null :\n            axisIDs.getFromId(mockGd, ax.anchor);\n    }\n};\n\n// This function clears any trace attributes with valType: color and\n// no set dflt filed in the plot schema. This is needed because groupby (which\n// is the only transform for which this currently applies) supplies parent\n// trace defaults, then expanded trace defaults. The result is that `null`\n// colors are default-supplied and inherited as a color instead of a null.\n// The result is that expanded trace default colors have no effect, with\n// the final result that groups are indistinguishable. This function clears\n// those colors so that individual groupby groups get unique colors.\nplots.clearExpandedTraceDefaultColors = function(trace) {\n    var colorAttrs, path, i;\n\n    // This uses weird closure state in order to satisfy the linter rule\n    // that we can't create functions in a loop.\n    function locateColorAttrs(attr, attrName, attrs, level) {\n        path[level] = attrName;\n        path.length = level + 1;\n        if(attr.valType === 'color' && attr.dflt === undefined) {\n            colorAttrs.push(path.join('.'));\n        }\n    }\n\n    path = [];\n\n    // Get the cached colorAttrs:\n    colorAttrs = trace._module._colorAttrs;\n\n    // Or else compute and cache the colorAttrs on the module:\n    if(!colorAttrs) {\n        trace._module._colorAttrs = colorAttrs = [];\n        PlotSchema.crawl(\n            trace._module.attributes,\n            locateColorAttrs\n        );\n    }\n\n    for(i = 0; i < colorAttrs.length; i++) {\n        var origprop = Lib.nestedProperty(trace, '_input.' + colorAttrs[i]);\n\n        if(!origprop.get()) {\n            Lib.nestedProperty(trace, colorAttrs[i]).set(null);\n        }\n    }\n};\n\n\nplots.supplyDataDefaults = function(dataIn, dataOut, layout, fullLayout) {\n    var modules = fullLayout._modules;\n    var visibleModules = fullLayout._visibleModules;\n    var basePlotModules = fullLayout._basePlotModules;\n    var cnt = 0;\n    var colorCnt = 0;\n\n    var i, fullTrace, trace;\n\n    fullLayout._transformModules = [];\n\n    function pushModule(fullTrace) {\n        dataOut.push(fullTrace);\n\n        var _module = fullTrace._module;\n        if(!_module) return;\n\n        Lib.pushUnique(modules, _module);\n        if(fullTrace.visible === true) Lib.pushUnique(visibleModules, _module);\n        Lib.pushUnique(basePlotModules, fullTrace._module.basePlotModule);\n        cnt++;\n\n        // TODO: do we really want color not to increment for explicitly invisible traces?\n        // This logic is weird, but matches previous behavior: traces that you explicitly\n        // set to visible:false do not increment the color, but traces WE determine to be\n        // empty or invalid (and thus set to visible:false) DO increment color.\n        // I kind of think we should just let all traces increment color, visible or not.\n        // see mock: axes-autotype-empty vs. a test of restyling visible: false that\n        // I can't find right now...\n        if(fullTrace._input.visible !== false) colorCnt++;\n    }\n\n    var carpetIndex = {};\n    var carpetDependents = [];\n    var dataTemplate = (layout.template || {}).data || {};\n    var templater = Template.traceTemplater(dataTemplate);\n\n    for(i = 0; i < dataIn.length; i++) {\n        trace = dataIn[i];\n\n        // reuse uid we may have pulled out of oldFullData\n        // Note: templater supplies trace type\n        fullTrace = templater.newTrace(trace);\n        fullTrace.uid = fullLayout._traceUids[i];\n        plots.supplyTraceDefaults(trace, fullTrace, colorCnt, fullLayout, i);\n\n        fullTrace.index = i;\n        fullTrace._input = trace;\n        fullTrace._expandedIndex = cnt;\n\n        if(fullTrace.transforms && fullTrace.transforms.length) {\n            var sdInvisible = trace.visible !== false && fullTrace.visible === false;\n\n            var expandedTraces = applyTransforms(fullTrace, dataOut, layout, fullLayout);\n\n            for(var j = 0; j < expandedTraces.length; j++) {\n                var expandedTrace = expandedTraces[j];\n\n                // No further templating during transforms.\n                var fullExpandedTrace = {\n                    _template: fullTrace._template,\n                    type: fullTrace.type,\n                    // set uid using parent uid and expanded index\n                    // to promote consistency between update calls\n                    uid: fullTrace.uid + j\n                };\n\n                // If the first supplyDefaults created `visible: false`,\n                // clear it before running supplyDefaults a second time,\n                // because sometimes there are items we still want to coerce\n                // inside trace modules before determining that the trace is\n                // again `visible: false`, for example partial visibilities\n                // in `splom` traces.\n                if(sdInvisible && expandedTrace.visible === false) {\n                    delete expandedTrace.visible;\n                }\n\n                plots.supplyTraceDefaults(expandedTrace, fullExpandedTrace, cnt, fullLayout, i);\n\n                // relink private (i.e. underscore) keys expanded trace to full expanded trace so\n                // that transform supply-default methods can set _ keys for future use.\n                relinkPrivateKeys(fullExpandedTrace, expandedTrace);\n\n                // add info about parent data trace\n                fullExpandedTrace.index = i;\n                fullExpandedTrace._input = trace;\n                fullExpandedTrace._fullInput = fullTrace;\n\n                // add info about the expanded data\n                fullExpandedTrace._expandedIndex = cnt;\n                fullExpandedTrace._expandedInput = expandedTrace;\n\n                pushModule(fullExpandedTrace);\n            }\n        }\n        else {\n            // add identify refs for consistency with transformed traces\n            fullTrace._fullInput = fullTrace;\n            fullTrace._expandedInput = fullTrace;\n\n            pushModule(fullTrace);\n        }\n\n        if(Registry.traceIs(fullTrace, 'carpetAxis')) {\n            carpetIndex[fullTrace.carpet] = fullTrace;\n        }\n\n        if(Registry.traceIs(fullTrace, 'carpetDependent')) {\n            carpetDependents.push(i);\n        }\n    }\n\n    for(i = 0; i < carpetDependents.length; i++) {\n        fullTrace = dataOut[carpetDependents[i]];\n\n        if(!fullTrace.visible) continue;\n\n        var carpetAxis = carpetIndex[fullTrace.carpet];\n        fullTrace._carpet = carpetAxis;\n\n        if(!carpetAxis || !carpetAxis.visible) {\n            fullTrace.visible = false;\n            continue;\n        }\n\n        fullTrace.xaxis = carpetAxis.xaxis;\n        fullTrace.yaxis = carpetAxis.yaxis;\n    }\n};\n\nplots.supplyAnimationDefaults = function(opts) {\n    opts = opts || {};\n    var i;\n    var optsOut = {};\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(opts || {}, optsOut, animationAttrs, attr, dflt);\n    }\n\n    coerce('mode');\n    coerce('direction');\n    coerce('fromcurrent');\n\n    if(Array.isArray(opts.frame)) {\n        optsOut.frame = [];\n        for(i = 0; i < opts.frame.length; i++) {\n            optsOut.frame[i] = plots.supplyAnimationFrameDefaults(opts.frame[i] || {});\n        }\n    } else {\n        optsOut.frame = plots.supplyAnimationFrameDefaults(opts.frame || {});\n    }\n\n    if(Array.isArray(opts.transition)) {\n        optsOut.transition = [];\n        for(i = 0; i < opts.transition.length; i++) {\n            optsOut.transition[i] = plots.supplyAnimationTransitionDefaults(opts.transition[i] || {});\n        }\n    } else {\n        optsOut.transition = plots.supplyAnimationTransitionDefaults(opts.transition || {});\n    }\n\n    return optsOut;\n};\n\nplots.supplyAnimationFrameDefaults = function(opts) {\n    var optsOut = {};\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(opts || {}, optsOut, animationAttrs.frame, attr, dflt);\n    }\n\n    coerce('duration');\n    coerce('redraw');\n\n    return optsOut;\n};\n\nplots.supplyAnimationTransitionDefaults = function(opts) {\n    var optsOut = {};\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(opts || {}, optsOut, animationAttrs.transition, attr, dflt);\n    }\n\n    coerce('duration');\n    coerce('easing');\n\n    return optsOut;\n};\n\nplots.supplyFrameDefaults = function(frameIn) {\n    var frameOut = {};\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(frameIn, frameOut, frameAttrs, attr, dflt);\n    }\n\n    coerce('group');\n    coerce('name');\n    coerce('traces');\n    coerce('baseframe');\n    coerce('data');\n    coerce('layout');\n\n    return frameOut;\n};\n\nplots.supplyTraceDefaults = function(traceIn, traceOut, colorIndex, layout, traceInIndex) {\n    var colorway = layout.colorway || Color.defaults;\n    var defaultColor = colorway[colorIndex % colorway.length];\n\n    var i;\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, plots.attributes, attr, dflt);\n    }\n\n    var visible = coerce('visible');\n\n    coerce('type');\n    coerce('name', layout._traceWord + ' ' + traceInIndex);\n\n    // we want even invisible traces to make their would-be subplots visible\n    // so coerce the subplot id(s) now no matter what\n    var _module = plots.getModule(traceOut);\n\n    traceOut._module = _module;\n    if(_module) {\n        var basePlotModule = _module.basePlotModule;\n        var subplotAttr = basePlotModule.attr;\n        var subplotAttrs = basePlotModule.attributes;\n        if(subplotAttr && subplotAttrs) {\n            var subplots = layout._subplots;\n            var subplotId = '';\n\n            // TODO - currently if we draw an empty gl2d subplot, it draws\n            // nothing then gets stuck and you can't get it back without newPlot\n            // sort this out in the regl refactor? but for now just drop empty gl2d subplots\n            if(basePlotModule.name !== 'gl2d' || visible) {\n                if(Array.isArray(subplotAttr)) {\n                    for(i = 0; i < subplotAttr.length; i++) {\n                        var attri = subplotAttr[i];\n                        var vali = Lib.coerce(traceIn, traceOut, subplotAttrs, attri);\n\n                        if(subplots[attri]) Lib.pushUnique(subplots[attri], vali);\n                        subplotId += vali;\n                    }\n                }\n                else {\n                    subplotId = Lib.coerce(traceIn, traceOut, subplotAttrs, subplotAttr);\n                }\n\n                if(subplots[basePlotModule.name]) {\n                    Lib.pushUnique(subplots[basePlotModule.name], subplotId);\n                }\n            }\n        }\n    }\n\n    function coerceUnlessPruned(attr, dflt, cb) {\n        if(_module && (attr in _module.attributes) && _module.attributes[attr] === undefined) {\n            // Pruned\n        } else {\n            if(cb && typeof cb === 'function') {\n                cb();\n            } else {\n                coerce(attr, dflt);\n            }\n        }\n    }\n\n    if(visible) {\n        coerce('customdata');\n        coerce('ids');\n\n        if(Registry.traceIs(traceOut, 'showLegend')) {\n            traceOut._dfltShowLegend = true;\n            coerce('showlegend');\n            coerce('legendgroup');\n        }\n        else {\n            traceOut._dfltShowLegend = false;\n        }\n\n        coerceUnlessPruned('hoverlabel', '', function() {\n            Registry.getComponentMethod(\n                'fx',\n                'supplyDefaults'\n            )(traceIn, traceOut, defaultColor, layout);\n        });\n\n        // TODO add per-base-plot-module trace defaults step\n\n        if(_module) {\n            _module.supplyDefaults(traceIn, traceOut, defaultColor, layout);\n            Lib.coerceHoverinfo(traceIn, traceOut, layout);\n        }\n\n        if(!Registry.traceIs(traceOut, 'noOpacity')) coerce('opacity');\n\n        if(Registry.traceIs(traceOut, 'notLegendIsolatable')) {\n            // This clears out the legendonly state for traces like carpet that\n            // cannot be isolated in the legend\n            traceOut.visible = !!traceOut.visible;\n        }\n\n        if(_module && _module.selectPoints) {\n            coerce('selectedpoints');\n        }\n\n        plots.supplyTransformDefaults(traceIn, traceOut, layout);\n    }\n\n    return traceOut;\n};\n\n/**\n * hasMakesDataTransform: does this trace have a transform that makes its own\n * data, either by grabbing it from somewhere else or by creating it from input\n * parameters? If so, we should still keep going with supplyDefaults\n * even if the trace is invisible, which may just be because it has no data yet.\n */\nfunction hasMakesDataTransform(trace) {\n    var transforms = trace.transforms;\n    if(Array.isArray(transforms) && transforms.length) {\n        for(var i = 0; i < transforms.length; i++) {\n            var ti = transforms[i];\n            var _module = ti._module || transformsRegistry[ti.type];\n            if(_module && _module.makesData) return true;\n        }\n    }\n    return false;\n}\n\nplots.hasMakesDataTransform = hasMakesDataTransform;\n\nplots.supplyTransformDefaults = function(traceIn, traceOut, layout) {\n    // For now we only allow transforms on 1D traces, ie those that specify a _length.\n    // If we were to implement 2D transforms, we'd need to have each transform\n    // describe its own applicability and disable itself when it doesn't apply.\n    // Also allow transforms that make their own data, but not in globalTransforms\n    if(!(traceOut._length || hasMakesDataTransform(traceIn))) return;\n\n    var globalTransforms = layout._globalTransforms || [];\n    var transformModules = layout._transformModules || [];\n\n    if(!Array.isArray(traceIn.transforms) && globalTransforms.length === 0) return;\n\n    var containerIn = traceIn.transforms || [],\n        transformList = globalTransforms.concat(containerIn),\n        containerOut = traceOut.transforms = [];\n\n    for(var i = 0; i < transformList.length; i++) {\n        var transformIn = transformList[i],\n            type = transformIn.type,\n            _module = transformsRegistry[type],\n            transformOut;\n\n        /*\n         * Supply defaults may run twice. First pass runs all supply defaults steps\n         * and adds the _module to any output transforms.\n         * If transforms exist another pass is run so that any generated traces also\n         * go through supply defaults. This has the effect of rerunning\n         * supplyTransformDefaults. If the transform does not have a `transform`\n         * function it could not have generated any new traces and the second stage\n         * is unnecessary. We detect this case with the following variables.\n         */\n        var isFirstStage = !(transformIn._module && transformIn._module === _module),\n            doLaterStages = _module && typeof _module.transform === 'function';\n\n        if(!_module) Lib.warn('Unrecognized transform type ' + type + '.');\n\n        if(_module && _module.supplyDefaults && (isFirstStage || doLaterStages)) {\n            transformOut = _module.supplyDefaults(transformIn, traceOut, layout, traceIn);\n            transformOut.type = type;\n            transformOut._module = _module;\n\n            Lib.pushUnique(transformModules, _module);\n        }\n        else {\n            transformOut = Lib.extendFlat({}, transformIn);\n        }\n\n        containerOut.push(transformOut);\n    }\n};\n\nfunction applyTransforms(fullTrace, fullData, layout, fullLayout) {\n    var container = fullTrace.transforms,\n        dataOut = [fullTrace];\n\n    for(var i = 0; i < container.length; i++) {\n        var transform = container[i],\n            _module = transformsRegistry[transform.type];\n\n        if(_module && _module.transform) {\n            dataOut = _module.transform(dataOut, {\n                transform: transform,\n                fullTrace: fullTrace,\n                fullData: fullData,\n                layout: layout,\n                fullLayout: fullLayout,\n                transformIndex: i\n            });\n        }\n    }\n\n    return dataOut;\n}\n\nplots.supplyLayoutGlobalDefaults = function(layoutIn, layoutOut, formatObj) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(layoutIn, layoutOut, plots.layoutAttributes, attr, dflt);\n    }\n\n    var template = layoutIn.template;\n    if(Lib.isPlainObject(template)) {\n        layoutOut.template = template;\n        layoutOut._template = template.layout;\n        layoutOut._dataTemplate = template.data;\n    }\n\n    var globalFont = Lib.coerceFont(coerce, 'font');\n\n    coerce('title', layoutOut._dfltTitle.plot);\n\n    Lib.coerceFont(coerce, 'titlefont', {\n        family: globalFont.family,\n        size: Math.round(globalFont.size * 1.4),\n        color: globalFont.color\n    });\n\n    // Make sure that autosize is defaulted to *true*\n    // on layouts with no set width and height for backward compatibly,\n    // in particular https://plot.ly/javascript/responsive-fluid-layout/\n    //\n    // Before https://github.com/plotly/plotly.js/pull/635 ,\n    // layouts with no set width and height were set temporary set to 'initial'\n    // to pass through the autosize routine\n    //\n    // This behavior is subject to change in v2.\n    coerce('autosize', !(layoutIn.width && layoutIn.height));\n\n    coerce('width');\n    coerce('height');\n    coerce('margin.l');\n    coerce('margin.r');\n    coerce('margin.t');\n    coerce('margin.b');\n    coerce('margin.pad');\n    coerce('margin.autoexpand');\n\n    if(layoutIn.width && layoutIn.height) plots.sanitizeMargins(layoutOut);\n\n    Registry.getComponentMethod('grid', 'sizeDefaults')(layoutIn, layoutOut);\n\n    coerce('paper_bgcolor');\n\n    coerce('separators', formatObj.decimal + formatObj.thousands);\n    coerce('hidesources');\n\n    coerce('colorway');\n\n    coerce('datarevision');\n\n    coerce('modebar.orientation');\n    coerce('modebar.bgcolor', Color.addOpacity(layoutOut.paper_bgcolor, 0.5));\n    var modebarDefaultColor = Color.contrast(Color.rgb(layoutOut.modebar.bgcolor));\n    coerce('modebar.color', Color.addOpacity(modebarDefaultColor, 0.3));\n    coerce('modebar.activecolor', Color.addOpacity(modebarDefaultColor, 0.7));\n\n    Registry.getComponentMethod(\n        'calendars',\n        'handleDefaults'\n    )(layoutIn, layoutOut, 'calendar');\n\n    Registry.getComponentMethod(\n        'fx',\n        'supplyLayoutGlobalDefaults'\n    )(layoutIn, layoutOut, coerce);\n};\n\nplots.plotAutoSize = function plotAutoSize(gd, layout, fullLayout) {\n    var context = gd._context || {},\n        frameMargins = context.frameMargins,\n        newWidth,\n        newHeight;\n\n    var isPlotDiv = Lib.isPlotDiv(gd);\n\n    if(isPlotDiv) gd.emit('plotly_autosize');\n\n    // embedded in an iframe - just take the full iframe size\n    // if we get to this point, with no aspect ratio restrictions\n    if(context.fillFrame) {\n        newWidth = window.innerWidth;\n        newHeight = window.innerHeight;\n\n        // somehow we get a few extra px height sometimes...\n        // just hide it\n        document.body.style.overflow = 'hidden';\n    }\n    else {\n        // plotly.js - let the developers do what they want, either\n        // provide height and width for the container div,\n        // specify size in layout, or take the defaults,\n        // but don't enforce any ratio restrictions\n        var computedStyle = isPlotDiv ? window.getComputedStyle(gd) : {};\n\n        newWidth = parseFloat(computedStyle.width) || parseFloat(computedStyle.maxWidth) || fullLayout.width;\n        newHeight = parseFloat(computedStyle.height) || parseFloat(computedStyle.maxHeight) || fullLayout.height;\n\n        if(isNumeric(frameMargins) && frameMargins > 0) {\n            var factor = 1 - 2 * frameMargins;\n            newWidth = Math.round(factor * newWidth);\n            newHeight = Math.round(factor * newHeight);\n        }\n    }\n\n    var minWidth = plots.layoutAttributes.width.min,\n        minHeight = plots.layoutAttributes.height.min;\n    if(newWidth < minWidth) newWidth = minWidth;\n    if(newHeight < minHeight) newHeight = minHeight;\n\n    var widthHasChanged = !layout.width &&\n            (Math.abs(fullLayout.width - newWidth) > 1),\n        heightHasChanged = !layout.height &&\n            (Math.abs(fullLayout.height - newHeight) > 1);\n\n    if(heightHasChanged || widthHasChanged) {\n        if(widthHasChanged) fullLayout.width = newWidth;\n        if(heightHasChanged) fullLayout.height = newHeight;\n    }\n\n    // cache initial autosize value, used in relayout when\n    // width or height values are set to null\n    if(!gd._initialAutoSize) {\n        gd._initialAutoSize = { width: newWidth, height: newHeight };\n    }\n\n    plots.sanitizeMargins(fullLayout);\n};\n\nplots.supplyLayoutModuleDefaults = function(layoutIn, layoutOut, fullData, transitionData) {\n    var componentsRegistry = Registry.componentsRegistry;\n    var basePlotModules = layoutOut._basePlotModules;\n    var component, i, _module;\n\n    var Cartesian = Registry.subplotsRegistry.cartesian;\n\n    // check if any components need to add more base plot modules\n    // that weren't captured by traces\n    for(component in componentsRegistry) {\n        _module = componentsRegistry[component];\n\n        if(_module.includeBasePlot) {\n            _module.includeBasePlot(layoutIn, layoutOut);\n        }\n    }\n\n    // make sure we *at least* have some cartesian axes\n    if(!basePlotModules.length) {\n        basePlotModules.push(Cartesian);\n    }\n\n    // ensure all cartesian axes have at least one subplot\n    if(layoutOut._has('cartesian')) {\n        Registry.getComponentMethod('grid', 'contentDefaults')(layoutIn, layoutOut);\n        Cartesian.finalizeSubplots(layoutIn, layoutOut);\n    }\n\n    // sort subplot lists\n    for(var subplotType in layoutOut._subplots) {\n        layoutOut._subplots[subplotType].sort(Lib.subplotSort);\n    }\n\n    // base plot module layout defaults\n    for(i = 0; i < basePlotModules.length; i++) {\n        _module = basePlotModules[i];\n\n        // e.g. pie does not have a layout-defaults step\n        if(_module.supplyLayoutDefaults) {\n            _module.supplyLayoutDefaults(layoutIn, layoutOut, fullData);\n        }\n    }\n\n    // trace module layout defaults\n    // use _modules rather than _visibleModules so that even\n    // legendonly traces can include settings - eg barmode, which affects\n    // legend.traceorder default value.\n    var modules = layoutOut._modules;\n    for(i = 0; i < modules.length; i++) {\n        _module = modules[i];\n\n        if(_module.supplyLayoutDefaults) {\n            _module.supplyLayoutDefaults(layoutIn, layoutOut, fullData);\n        }\n    }\n\n    // transform module layout defaults\n    var transformModules = layoutOut._transformModules;\n    for(i = 0; i < transformModules.length; i++) {\n        _module = transformModules[i];\n\n        if(_module.supplyLayoutDefaults) {\n            _module.supplyLayoutDefaults(layoutIn, layoutOut, fullData, transitionData);\n        }\n    }\n\n    for(component in componentsRegistry) {\n        _module = componentsRegistry[component];\n\n        if(_module.supplyLayoutDefaults) {\n            _module.supplyLayoutDefaults(layoutIn, layoutOut, fullData);\n        }\n    }\n};\n\n// Remove all plotly attributes from a div so it can be replotted fresh\n// TODO: these really need to be encapsulated into a much smaller set...\nplots.purge = function(gd) {\n    // note: we DO NOT remove _context because it doesn't change when we insert\n    // a new plot, and may have been set outside of our scope.\n\n    var fullLayout = gd._fullLayout || {};\n    if(fullLayout._glcontainer !== undefined) {\n        fullLayout._glcontainer.selectAll('.gl-canvas').remove();\n        fullLayout._glcontainer.remove();\n        fullLayout._glcanvas = null;\n    }\n    if(fullLayout._geocontainer !== undefined) fullLayout._geocontainer.remove();\n\n    // remove modebar\n    if(fullLayout._modeBar) fullLayout._modeBar.destroy();\n\n    if(gd._transitionData) {\n        // Ensure any dangling callbacks are simply dropped if the plot is purged.\n        // This is more or less only actually important for testing.\n        if(gd._transitionData._interruptCallbacks) {\n            gd._transitionData._interruptCallbacks.length = 0;\n        }\n\n        if(gd._transitionData._animationRaf) {\n            window.cancelAnimationFrame(gd._transitionData._animationRaf);\n        }\n    }\n\n    // remove any planned throttles\n    Lib.clearThrottle();\n\n    // remove responsive handler\n    Lib.clearResponsive(gd);\n\n    // data and layout\n    delete gd.data;\n    delete gd.layout;\n    delete gd._fullData;\n    delete gd._fullLayout;\n    delete gd.calcdata;\n    delete gd.framework;\n    delete gd.empty;\n\n    delete gd.fid;\n\n    delete gd.undoqueue; // action queue\n    delete gd.undonum;\n    delete gd.autoplay; // are we doing an action that doesn't go in undo queue?\n    delete gd.changed;\n\n    // these get recreated on Plotly.plot anyway, but just to be safe\n    // (and to have a record of them...)\n    delete gd._promises;\n    delete gd._redrawTimer;\n    delete gd._hmlumcount;\n    delete gd._hmpixcount;\n    delete gd._transitionData;\n    delete gd._transitioning;\n    delete gd._initialAutoSize;\n    delete gd._transitioningWithDuration;\n\n    // created during certain events, that *should* clean them up\n    // themselves, but may not if there was an error\n    delete gd._dragging;\n    delete gd._dragged;\n    delete gd._hoverdata;\n    delete gd._snapshotInProgress;\n    delete gd._editing;\n    delete gd._replotPending;\n    delete gd._mouseDownTime;\n    delete gd._legendMouseDownTime;\n\n    // remove all event listeners\n    if(gd.removeAllListeners) gd.removeAllListeners();\n};\n\nplots.style = function(gd) {\n    var _modules = gd._fullLayout._visibleModules;\n    var styleModules = [];\n    var i;\n\n    // some trace modules reuse the same style method,\n    // make sure to not unnecessary call them multiple times.\n\n    for(i = 0; i < _modules.length; i++) {\n        var _module = _modules[i];\n        if(_module.style) {\n            Lib.pushUnique(styleModules, _module.style);\n        }\n    }\n\n    for(i = 0; i < styleModules.length; i++) {\n        styleModules[i](gd);\n    }\n};\n\nplots.sanitizeMargins = function(fullLayout) {\n    // polar doesn't do margins...\n    if(!fullLayout || !fullLayout.margin) return;\n\n    var width = fullLayout.width,\n        height = fullLayout.height,\n        margin = fullLayout.margin,\n        plotWidth = width - (margin.l + margin.r),\n        plotHeight = height - (margin.t + margin.b),\n        correction;\n\n    // if margin.l + margin.r = 0 then plotWidth > 0\n    // as width >= 10 by supplyDefaults\n    // similarly for margin.t + margin.b\n\n    if(plotWidth < 0) {\n        correction = (width - 1) / (margin.l + margin.r);\n        margin.l = Math.floor(correction * margin.l);\n        margin.r = Math.floor(correction * margin.r);\n    }\n\n    if(plotHeight < 0) {\n        correction = (height - 1) / (margin.t + margin.b);\n        margin.t = Math.floor(correction * margin.t);\n        margin.b = Math.floor(correction * margin.b);\n    }\n};\n\nplots.clearAutoMarginIds = function(gd) {\n    gd._fullLayout._pushmarginIds = {};\n};\n\nplots.allowAutoMargin = function(gd, id) {\n    gd._fullLayout._pushmarginIds[id] = 1;\n};\n\nfunction setupAutoMargin(fullLayout) {\n    if(!fullLayout._pushmargin) fullLayout._pushmargin = {};\n    if(!fullLayout._pushmarginIds) fullLayout._pushmarginIds = {};\n}\n\n/**\n * autoMargin: called by components that may need to expand the margins to\n * be rendered on-plot.\n *\n * @param {DOM element} gd\n * @param {string} id - an identifier unique (within this plot) to this object,\n *     so we can remove a previous margin expansion from the same object.\n * @param {object} o - the margin requirements of this object, or omit to delete\n *     this entry (like if it's hidden). Keys are:\n *     x, y: plot fraction of the anchor point.\n *     xl, xr, yt, yb: if the object has an extent defined in plot fraction,\n *         you can specify both edges as plot fractions in each dimension\n *     l, r, t, b: the pixels to pad past the plot fraction x[l|r] and y[t|b]\n *     pad: extra pixels to add in all directions, default 12 (why?)\n */\nplots.autoMargin = function(gd, id, o) {\n    var fullLayout = gd._fullLayout;\n\n    setupAutoMargin(fullLayout);\n\n    var pushMargin = fullLayout._pushmargin;\n    var pushMarginIds = fullLayout._pushmarginIds;\n\n    if(fullLayout.margin.autoexpand !== false) {\n        if(!o) {\n            delete pushMargin[id];\n            delete pushMarginIds[id];\n        }\n        else {\n            var pad = o.pad;\n            if(pad === undefined) {\n                var margin = fullLayout.margin;\n                // if no explicit pad is given, use 12px unless there's a\n                // specified margin that's smaller than that\n                pad = Math.min(12, margin.l, margin.r, margin.t, margin.b);\n            }\n\n            // if the item is too big, just give it enough automargin to\n            // make sure you can still grab it and bring it back\n            if(o.l + o.r > fullLayout.width * 0.5) o.l = o.r = 0;\n            if(o.b + o.t > fullLayout.height * 0.5) o.b = o.t = 0;\n\n            var xl = o.xl !== undefined ? o.xl : o.x;\n            var xr = o.xr !== undefined ? o.xr : o.x;\n            var yt = o.yt !== undefined ? o.yt : o.y;\n            var yb = o.yb !== undefined ? o.yb : o.y;\n\n            pushMargin[id] = {\n                l: {val: xl, size: o.l + pad},\n                r: {val: xr, size: o.r + pad},\n                b: {val: yb, size: o.b + pad},\n                t: {val: yt, size: o.t + pad}\n            };\n            pushMarginIds[id] = 1;\n        }\n\n        if(!fullLayout._replotting) plots.doAutoMargin(gd);\n    }\n};\n\nplots.doAutoMargin = function(gd) {\n    var fullLayout = gd._fullLayout;\n    if(!fullLayout._size) fullLayout._size = {};\n    setupAutoMargin(fullLayout);\n\n    var gs = fullLayout._size,\n        oldmargins = JSON.stringify(gs);\n\n    // adjust margins for outside components\n    // fullLayout.margin is the requested margin,\n    // fullLayout._size has margins and plotsize after adjustment\n    var ml = Math.max(fullLayout.margin.l || 0, 0);\n    var mr = Math.max(fullLayout.margin.r || 0, 0);\n    var mt = Math.max(fullLayout.margin.t || 0, 0);\n    var mb = Math.max(fullLayout.margin.b || 0, 0);\n    var pushMargin = fullLayout._pushmargin;\n    var pushMarginIds = fullLayout._pushmarginIds;\n\n    if(fullLayout.margin.autoexpand !== false) {\n\n        for(var k in pushMargin) {\n            if(!pushMarginIds[k]) delete pushMargin[k];\n        }\n\n        // fill in the requested margins\n        pushMargin.base = {\n            l: {val: 0, size: ml},\n            r: {val: 1, size: mr},\n            t: {val: 1, size: mt},\n            b: {val: 0, size: mb}\n        };\n\n        // now cycle through all the combinations of l and r\n        // (and t and b) to find the required margins\n\n        for(var k1 in pushMargin) {\n\n            var pushleft = pushMargin[k1].l || {},\n                pushbottom = pushMargin[k1].b || {},\n                fl = pushleft.val,\n                pl = pushleft.size,\n                fb = pushbottom.val,\n                pb = pushbottom.size;\n\n            for(var k2 in pushMargin) {\n                if(isNumeric(pl) && pushMargin[k2].r) {\n                    var fr = pushMargin[k2].r.val,\n                        pr = pushMargin[k2].r.size;\n\n                    if(fr > fl) {\n                        var newl = (pl * fr +\n                                (pr - fullLayout.width) * fl) / (fr - fl),\n                            newr = (pr * (1 - fl) +\n                                (pl - fullLayout.width) * (1 - fr)) / (fr - fl);\n                        if(newl >= 0 && newr >= 0 && newl + newr > ml + mr) {\n                            ml = newl;\n                            mr = newr;\n                        }\n                    }\n                }\n\n                if(isNumeric(pb) && pushMargin[k2].t) {\n                    var ft = pushMargin[k2].t.val,\n                        pt = pushMargin[k2].t.size;\n\n                    if(ft > fb) {\n                        var newb = (pb * ft +\n                                (pt - fullLayout.height) * fb) / (ft - fb),\n                            newt = (pt * (1 - fb) +\n                                (pb - fullLayout.height) * (1 - ft)) / (ft - fb);\n                        if(newb >= 0 && newt >= 0 && newb + newt > mb + mt) {\n                            mb = newb;\n                            mt = newt;\n                        }\n                    }\n                }\n            }\n        }\n    }\n\n    gs.l = Math.round(ml);\n    gs.r = Math.round(mr);\n    gs.t = Math.round(mt);\n    gs.b = Math.round(mb);\n    gs.p = Math.round(fullLayout.margin.pad);\n    gs.w = Math.round(fullLayout.width) - gs.l - gs.r;\n    gs.h = Math.round(fullLayout.height) - gs.t - gs.b;\n\n    // if things changed and we're not already redrawing, trigger a redraw\n    if(!fullLayout._replotting &&\n        oldmargins !== '{}' &&\n        oldmargins !== JSON.stringify(fullLayout._size)\n    ) {\n        if('_redrawFromAutoMarginCount' in fullLayout) {\n            fullLayout._redrawFromAutoMarginCount++;\n        } else {\n            fullLayout._redrawFromAutoMarginCount = 1;\n        }\n        return Registry.call('plot', gd);\n    }\n};\n\n/**\n * JSONify the graph data and layout\n *\n * This function needs to recurse because some src can be inside\n * sub-objects.\n *\n * It also strips out functions and private (starts with _) elements.\n * Therefore, we can add temporary things to data and layout that don't\n * get saved.\n *\n * @param gd The graphDiv\n * @param {Boolean} dataonly If true, don't return layout.\n * @param {'keepref'|'keepdata'|'keepall'} [mode='keepref'] Filter what's kept\n *      keepref: remove data for which there's a src present\n *          eg if there's xsrc present (and xsrc is well-formed,\n *          ie has : and some chars before it), strip out x\n *      keepdata: remove all src tags, don't remove the data itself\n *      keepall: keep data and src\n * @param {String} output If you specify 'object', the result will not be stringified\n * @param {Boolean} useDefaults If truthy, use _fullLayout and _fullData\n * @returns {Object|String}\n */\nplots.graphJson = function(gd, dataonly, mode, output, useDefaults) {\n    // if the defaults aren't supplied yet, we need to do that...\n    if((useDefaults && dataonly && !gd._fullData) ||\n            (useDefaults && !dataonly && !gd._fullLayout)) {\n        plots.supplyDefaults(gd);\n    }\n\n    var data = (useDefaults) ? gd._fullData : gd.data,\n        layout = (useDefaults) ? gd._fullLayout : gd.layout,\n        frames = (gd._transitionData || {})._frames;\n\n    function stripObj(d) {\n        if(typeof d === 'function') {\n            return null;\n        }\n        if(Lib.isPlainObject(d)) {\n            var o = {}, v, src;\n            for(v in d) {\n                // remove private elements and functions\n                // _ is for private, [ is a mistake ie [object Object]\n                if(typeof d[v] === 'function' ||\n                        ['_', '['].indexOf(v.charAt(0)) !== -1) {\n                    continue;\n                }\n\n                // look for src/data matches and remove the appropriate one\n                if(mode === 'keepdata') {\n                    // keepdata: remove all ...src tags\n                    if(v.substr(v.length - 3) === 'src') {\n                        continue;\n                    }\n                }\n                else if(mode === 'keepstream') {\n                    // keep sourced data if it's being streamed.\n                    // similar to keepref, but if the 'stream' object exists\n                    // in a trace, we will keep the data array.\n                    src = d[v + 'src'];\n                    if(typeof src === 'string' && src.indexOf(':') > 0) {\n                        if(!Lib.isPlainObject(d.stream)) {\n                            continue;\n                        }\n                    }\n                }\n                else if(mode !== 'keepall') {\n                    // keepref: remove sourced data but only\n                    // if the source tag is well-formed\n                    src = d[v + 'src'];\n                    if(typeof src === 'string' && src.indexOf(':') > 0) {\n                        continue;\n                    }\n                }\n\n                // OK, we're including this... recurse into it\n                o[v] = stripObj(d[v]);\n            }\n            return o;\n        }\n\n        if(Array.isArray(d)) {\n            return d.map(stripObj);\n        }\n\n        if(Lib.isTypedArray(d)) {\n            return Lib.simpleMap(d, Lib.identity);\n        }\n\n        // convert native dates to date strings...\n        // mostly for external users exporting to plotly\n        if(Lib.isJSDate(d)) return Lib.ms2DateTimeLocal(+d);\n\n        return d;\n    }\n\n    var obj = {\n        data: (data || []).map(function(v) {\n            var d = stripObj(v);\n            // fit has some little arrays in it that don't contain data,\n            // just fit params and meta\n            if(dataonly) { delete d.fit; }\n            return d;\n        })\n    };\n    if(!dataonly) { obj.layout = stripObj(layout); }\n\n    if(gd.framework && gd.framework.isPolar) obj = gd.framework.getConfig();\n\n    if(frames) obj.frames = stripObj(frames);\n\n    return (output === 'object') ? obj : JSON.stringify(obj);\n};\n\n/**\n * Modify a keyframe using a list of operations:\n *\n * @param {array of objects} operations\n *      Sequence of operations to be performed on the keyframes\n */\nplots.modifyFrames = function(gd, operations) {\n    var i, op, frame;\n    var _frames = gd._transitionData._frames;\n    var _frameHash = gd._transitionData._frameHash;\n\n    for(i = 0; i < operations.length; i++) {\n        op = operations[i];\n\n        switch(op.type) {\n            // No reason this couldn't exist, but is currently unused/untested:\n            /* case 'rename':\n                frame = _frames[op.index];\n                delete _frameHash[frame.name];\n                _frameHash[op.name] = frame;\n                frame.name = op.name;\n                break;*/\n            case 'replace':\n                frame = op.value;\n                var oldName = (_frames[op.index] || {}).name;\n                var newName = frame.name;\n                _frames[op.index] = _frameHash[newName] = frame;\n\n                if(newName !== oldName) {\n                    // If name has changed in addition to replacement, then update\n                    // the lookup table:\n                    delete _frameHash[oldName];\n                    _frameHash[newName] = frame;\n                }\n\n                break;\n            case 'insert':\n                frame = op.value;\n                _frameHash[frame.name] = frame;\n                _frames.splice(op.index, 0, frame);\n                break;\n            case 'delete':\n                frame = _frames[op.index];\n                delete _frameHash[frame.name];\n                _frames.splice(op.index, 1);\n                break;\n        }\n    }\n\n    return Promise.resolve();\n};\n\n/*\n * Compute a keyframe. Merge a keyframe into its base frame(s) and\n * expand properties.\n *\n * @param {object} frameLookup\n *      An object containing frames keyed by name (i.e. gd._transitionData._frameHash)\n * @param {string} frame\n *      The name of the keyframe to be computed\n *\n * Returns: a new object with the merged content\n */\nplots.computeFrame = function(gd, frameName) {\n    var frameLookup = gd._transitionData._frameHash;\n    var i, traceIndices, traceIndex, destIndex;\n\n    // Null or undefined will fail on .toString(). We'll allow numbers since we\n    // make it clear frames must be given string names, but we'll allow numbers\n    // here since they're otherwise fine for looking up frames as long as they're\n    // properly cast to strings. We really just want to ensure here that this\n    // 1) doesn't fail, and\n    // 2) doens't give an incorrect answer (which String(frameName) would)\n    if(!frameName) {\n        throw new Error('computeFrame must be given a string frame name');\n    }\n\n    var framePtr = frameLookup[frameName.toString()];\n\n    // Return false if the name is invalid:\n    if(!framePtr) {\n        return false;\n    }\n\n    var frameStack = [framePtr];\n    var frameNameStack = [framePtr.name];\n\n    // Follow frame pointers:\n    while(framePtr.baseframe && (framePtr = frameLookup[framePtr.baseframe.toString()])) {\n        // Avoid infinite loops:\n        if(frameNameStack.indexOf(framePtr.name) !== -1) break;\n\n        frameStack.push(framePtr);\n        frameNameStack.push(framePtr.name);\n    }\n\n    // A new object for the merged result:\n    var result = {};\n\n    // Merge, starting with the last and ending with the desired frame:\n    while((framePtr = frameStack.pop())) {\n        if(framePtr.layout) {\n            result.layout = plots.extendLayout(result.layout, framePtr.layout);\n        }\n\n        if(framePtr.data) {\n            if(!result.data) {\n                result.data = [];\n            }\n            traceIndices = framePtr.traces;\n\n            if(!traceIndices) {\n                // If not defined, assume serial order starting at zero\n                traceIndices = [];\n                for(i = 0; i < framePtr.data.length; i++) {\n                    traceIndices[i] = i;\n                }\n            }\n\n            if(!result.traces) {\n                result.traces = [];\n            }\n\n            for(i = 0; i < framePtr.data.length; i++) {\n                // Loop through this frames data, find out where it should go,\n                // and merge it!\n                traceIndex = traceIndices[i];\n                if(traceIndex === undefined || traceIndex === null) {\n                    continue;\n                }\n\n                destIndex = result.traces.indexOf(traceIndex);\n                if(destIndex === -1) {\n                    destIndex = result.data.length;\n                    result.traces[destIndex] = traceIndex;\n                }\n\n                result.data[destIndex] = plots.extendTrace(result.data[destIndex], framePtr.data[i]);\n            }\n        }\n    }\n\n    return result;\n};\n\n/*\n * Recompute the lookup table that maps frame name -> frame object. addFrames/\n * deleteFrames already manages this data one at a time, so the only time this\n * is necessary is if you poke around manually in `gd._transitionData._frames`\n * and create and haven't updated the lookup table.\n */\nplots.recomputeFrameHash = function(gd) {\n    var hash = gd._transitionData._frameHash = {};\n    var frames = gd._transitionData._frames;\n    for(var i = 0; i < frames.length; i++) {\n        var frame = frames[i];\n        if(frame && frame.name) {\n            hash[frame.name] = frame;\n        }\n    }\n};\n\n/**\n * Extend an object, treating container arrays very differently by extracting\n * their contents and merging them separately.\n *\n * This exists so that we can extendDeepNoArrays and avoid stepping into data\n * arrays without knowledge of the plot schema, but so that we may also manually\n * recurse into known container arrays, such as transforms.\n *\n * See extendTrace and extendLayout below for usage.\n */\nplots.extendObjectWithContainers = function(dest, src, containerPaths) {\n    var containerProp, containerVal, i, j, srcProp, destProp, srcContainer, destContainer;\n    var copy = Lib.extendDeepNoArrays({}, src || {});\n    var expandedObj = Lib.expandObjectPaths(copy);\n    var containerObj = {};\n\n    // Step through and extract any container properties. Otherwise extendDeepNoArrays\n    // will clobber any existing properties with an empty array and then supplyDefaults\n    // will reset everything to defaults.\n    if(containerPaths && containerPaths.length) {\n        for(i = 0; i < containerPaths.length; i++) {\n            containerProp = Lib.nestedProperty(expandedObj, containerPaths[i]);\n            containerVal = containerProp.get();\n\n            if(containerVal === undefined) {\n                Lib.nestedProperty(containerObj, containerPaths[i]).set(null);\n            }\n            else {\n                containerProp.set(null);\n                Lib.nestedProperty(containerObj, containerPaths[i]).set(containerVal);\n            }\n        }\n    }\n\n    dest = Lib.extendDeepNoArrays(dest || {}, expandedObj);\n\n    if(containerPaths && containerPaths.length) {\n        for(i = 0; i < containerPaths.length; i++) {\n            srcProp = Lib.nestedProperty(containerObj, containerPaths[i]);\n            srcContainer = srcProp.get();\n\n            if(!srcContainer) continue;\n\n            destProp = Lib.nestedProperty(dest, containerPaths[i]);\n            destContainer = destProp.get();\n\n            if(!Array.isArray(destContainer)) {\n                destContainer = [];\n                destProp.set(destContainer);\n            }\n\n            for(j = 0; j < srcContainer.length; j++) {\n                var srcObj = srcContainer[j];\n\n                if(srcObj === null) destContainer[j] = null;\n                else {\n                    destContainer[j] = plots.extendObjectWithContainers(destContainer[j], srcObj);\n                }\n            }\n\n            destProp.set(destContainer);\n        }\n    }\n\n    return dest;\n};\n\nplots.dataArrayContainers = ['transforms', 'dimensions'];\nplots.layoutArrayContainers = Registry.layoutArrayContainers;\n\n/*\n * Extend a trace definition. This method:\n *\n *  1. directly transfers any array references\n *  2. manually recurses into container arrays like transforms\n *\n * The result is the original object reference with the new contents merged in.\n */\nplots.extendTrace = function(destTrace, srcTrace) {\n    return plots.extendObjectWithContainers(destTrace, srcTrace, plots.dataArrayContainers);\n};\n\n/*\n * Extend a layout definition. This method:\n *\n *  1. directly transfers any array references (not critically important for\n *     layout since there aren't really data arrays)\n *  2. manually recurses into container arrays like annotations\n *\n * The result is the original object reference with the new contents merged in.\n */\nplots.extendLayout = function(destLayout, srcLayout) {\n    return plots.extendObjectWithContainers(destLayout, srcLayout, plots.layoutArrayContainers);\n};\n\n/**\n * Transition to a set of new data and layout properties\n *\n * @param {DOM element} gd\n *      the DOM element of the graph container div\n * @param {Object[]} data\n *      an array of data objects following the normal Plotly data definition format\n * @param {Object} layout\n *      a layout object, following normal Plotly layout format\n * @param {Number[]} traces\n *      indices of the corresponding traces specified in `data`\n * @param {Object} frameOpts\n *      options for the frame (i.e. whether to redraw post-transition)\n * @param {Object} transitionOpts\n *      options for the transition\n */\nplots.transition = function(gd, data, layout, traces, frameOpts, transitionOpts) {\n    var i, traceIdx;\n\n    var dataLength = Array.isArray(data) ? data.length : 0;\n    var traceIndices = traces.slice(0, dataLength);\n\n    var transitionedTraces = [];\n\n    function prepareTransitions() {\n        var i;\n\n        for(i = 0; i < traceIndices.length; i++) {\n            var traceIdx = traceIndices[i];\n            var trace = gd._fullData[traceIdx];\n            var module = trace._module;\n\n            // There's nothing to do if this module is not defined:\n            if(!module) continue;\n\n            // Don't register the trace as transitioned if it doesn't know what to do.\n            // If it *is* registered, it will receive a callback that it's responsible\n            // for calling in order to register the transition as having completed.\n            if(module.animatable) {\n                transitionedTraces.push(traceIdx);\n            }\n\n            gd.data[traceIndices[i]] = plots.extendTrace(gd.data[traceIndices[i]], data[i]);\n        }\n\n        // Follow the same procedure. Clone it so we don't mangle the input, then\n        // expand any object paths so we can merge deep into gd.layout:\n        var layoutUpdate = Lib.expandObjectPaths(Lib.extendDeepNoArrays({}, layout));\n\n        // Before merging though, we need to modify the incoming layout. We only\n        // know how to *transition* layout ranges, so it's imperative that a new\n        // range not be sent to the layout before the transition has started. So\n        // we must remove the things we can transition:\n        var axisAttrRe = /^[xy]axis[0-9]*$/;\n        for(var attr in layoutUpdate) {\n            if(!axisAttrRe.test(attr)) continue;\n            delete layoutUpdate[attr].range;\n        }\n\n        plots.extendLayout(gd.layout, layoutUpdate);\n\n        // Supply defaults after applying the incoming properties. Note that any attempt\n        // to simplify this step and reduce the amount of work resulted in the reconstruction\n        // of essentially the whole supplyDefaults step, so that it seems sensible to just use\n        // supplyDefaults even though it's heavier than would otherwise be desired for\n        // transitions:\n\n        // first delete calcdata so supplyDefaults knows a calc step is coming\n        delete gd.calcdata;\n\n        plots.supplyDefaults(gd);\n        plots.doCalcdata(gd);\n\n        return Promise.resolve();\n    }\n\n    function executeCallbacks(list) {\n        var p = Promise.resolve();\n        if(!list) return p;\n        while(list.length) {\n            p = p.then((list.shift()));\n        }\n        return p;\n    }\n\n    function flushCallbacks(list) {\n        if(!list) return;\n        while(list.length) {\n            list.shift();\n        }\n    }\n\n    var aborted = false;\n\n    function executeTransitions() {\n        gd.emit('plotly_transitioning', []);\n\n        return new Promise(function(resolve) {\n            // This flag is used to disabled things like autorange:\n            gd._transitioning = true;\n\n            // When instantaneous updates are coming through quickly, it's too much to simply disable\n            // all interaction, so store this flag so we can disambiguate whether mouse interactions\n            // should be fully disabled or not:\n            if(transitionOpts.duration > 0) {\n                gd._transitioningWithDuration = true;\n            }\n\n\n            // If another transition is triggered, this callback will be executed simply because it's\n            // in the interruptCallbacks queue. If this transition completes, it will instead flush\n            // that queue and forget about this callback.\n            gd._transitionData._interruptCallbacks.push(function() {\n                aborted = true;\n            });\n\n            if(frameOpts.redraw) {\n                gd._transitionData._interruptCallbacks.push(function() {\n                    return Registry.call('redraw', gd);\n                });\n            }\n\n            // Emit this and make sure it happens last:\n            gd._transitionData._interruptCallbacks.push(function() {\n                gd.emit('plotly_transitioninterrupted', []);\n            });\n\n            // Construct callbacks that are executed on transition end. This ensures the d3 transitions\n            // are *complete* before anything else is done.\n            var numCallbacks = 0;\n            var numCompleted = 0;\n            function makeCallback() {\n                numCallbacks++;\n                return function() {\n                    numCompleted++;\n                    // When all are complete, perform a redraw:\n                    if(!aborted && numCompleted === numCallbacks) {\n                        completeTransition(resolve);\n                    }\n                };\n            }\n\n            var traceTransitionOpts;\n            var j;\n            var basePlotModules = gd._fullLayout._basePlotModules;\n            var hasAxisTransition = false;\n\n            if(layout) {\n                for(j = 0; j < basePlotModules.length; j++) {\n                    if(basePlotModules[j].transitionAxes) {\n                        var newLayout = Lib.expandObjectPaths(layout);\n                        hasAxisTransition = basePlotModules[j].transitionAxes(gd, newLayout, transitionOpts, makeCallback) || hasAxisTransition;\n                    }\n                }\n            }\n\n            // Here handle the exception that we refuse to animate scales and axes at the same\n            // time. In other words, if there's an axis transition, then set the data transition\n            // to instantaneous.\n            if(hasAxisTransition) {\n                traceTransitionOpts = Lib.extendFlat({}, transitionOpts);\n                traceTransitionOpts.duration = 0;\n                // This means do not transition traces,\n                // this happens on layout-only (e.g. axis range) animations\n                transitionedTraces = null;\n            } else {\n                traceTransitionOpts = transitionOpts;\n            }\n\n            for(j = 0; j < basePlotModules.length; j++) {\n                // Note that we pass a callback to *create* the callback that must be invoked on completion.\n                // This is since not all traces know about transitions, so it greatly simplifies matters if\n                // the trace is responsible for creating a callback, if needed, and then executing it when\n                // the time is right.\n                basePlotModules[j].plot(gd, transitionedTraces, traceTransitionOpts, makeCallback);\n            }\n\n            // If nothing else creates a callback, then this will trigger the completion in the next tick:\n            setTimeout(makeCallback());\n\n        });\n    }\n\n    function completeTransition(callback) {\n        // This a simple workaround for tests which purge the graph before animations\n        // have completed. That's not a very common case, so this is the simplest\n        // fix.\n        if(!gd._transitionData) return;\n\n        flushCallbacks(gd._transitionData._interruptCallbacks);\n\n        return Promise.resolve().then(function() {\n            if(frameOpts.redraw) {\n                return Registry.call('redraw', gd);\n            }\n        }).then(function() {\n            // Set transitioning false again once the redraw has occurred. This is used, for example,\n            // to prevent the trailing redraw from autoranging:\n            gd._transitioning = false;\n            gd._transitioningWithDuration = false;\n\n            gd.emit('plotly_transitioned', []);\n        }).then(callback);\n    }\n\n    function interruptPreviousTransitions() {\n        // Fail-safe against purged plot:\n        if(!gd._transitionData) return;\n\n        // If a transition is interrupted, set this to false. At the moment, the only thing that would\n        // interrupt a transition is another transition, so that it will momentarily be set to true\n        // again, but this determines whether autorange or dragbox work, so it's for the sake of\n        // cleanliness:\n        gd._transitioning = false;\n\n        return executeCallbacks(gd._transitionData._interruptCallbacks);\n    }\n\n    for(i = 0; i < traceIndices.length; i++) {\n        traceIdx = traceIndices[i];\n        var contFull = gd._fullData[traceIdx];\n        var module = contFull._module;\n\n        if(!module) continue;\n    }\n\n    var seq = [plots.previousPromises, interruptPreviousTransitions, prepareTransitions, plots.rehover, executeTransitions];\n\n    var transitionStarting = Lib.syncOrAsync(seq, gd);\n\n    if(!transitionStarting || !transitionStarting.then) {\n        transitionStarting = Promise.resolve();\n    }\n\n    return transitionStarting.then(function() {\n        return gd;\n    });\n};\n\nplots.doCalcdata = function(gd, traces) {\n    var axList = axisIDs.list(gd),\n        fullData = gd._fullData,\n        fullLayout = gd._fullLayout;\n\n    var trace, _module, i, j;\n\n    // XXX: Is this correct? Needs a closer look so that *some* traces can be recomputed without\n    // *all* needing doCalcdata:\n    var calcdata = new Array(fullData.length);\n    var oldCalcdata = (gd.calcdata || []).slice(0);\n    gd.calcdata = calcdata;\n\n    // extra helper variables\n\n    // how many box/violins plots do we have (in case they're grouped)\n    fullLayout._numBoxes = 0;\n    fullLayout._numViolins = 0;\n\n    // initialize violin per-scale-group stats container\n    fullLayout._violinScaleGroupStats = {};\n\n    // for calculating avg luminosity of heatmaps\n    gd._hmpixcount = 0;\n    gd._hmlumcount = 0;\n\n    // for sharing colors across pies (and for legend)\n    fullLayout._piecolormap = {};\n\n    // If traces were specified and this trace was not included,\n    // then transfer it over from the old calcdata:\n    for(i = 0; i < fullData.length; i++) {\n        if(Array.isArray(traces) && traces.indexOf(i) === -1) {\n            calcdata[i] = oldCalcdata[i];\n            continue;\n        }\n    }\n\n    for(i = 0; i < fullData.length; i++) {\n        trace = fullData[i];\n\n        trace._arrayAttrs = PlotSchema.findArrayAttributes(trace);\n\n        // keep track of trace extremes (for autorange) in here\n        trace._extremes = {};\n    }\n\n    // add polar axes to axis list\n    var polarIds = fullLayout._subplots.polar || [];\n    for(i = 0; i < polarIds.length; i++) {\n        axList.push(\n            fullLayout[polarIds[i]].radialaxis,\n            fullLayout[polarIds[i]].angularaxis\n        );\n    }\n\n    clearAxesCalc(axList);\n\n    var hasCalcTransform = false;\n\n    // transform loop\n    for(i = 0; i < fullData.length; i++) {\n        trace = fullData[i];\n\n        if(trace.visible === true && trace.transforms) {\n            _module = trace._module;\n\n            // we need one round of trace module calc before\n            // the calc transform to 'fill in' the categories list\n            // used for example in the data-to-coordinate method\n            if(_module && _module.calc) {\n                var cdi = _module.calc(gd, trace);\n\n                // must clear scene 'batches', so that 2nd\n                // _module.calc call starts from scratch\n                if(cdi[0] && cdi[0].t && cdi[0].t._scene) {\n                    delete cdi[0].t._scene.dirty;\n                }\n            }\n\n            for(j = 0; j < trace.transforms.length; j++) {\n                var transform = trace.transforms[j];\n\n                _module = transformsRegistry[transform.type];\n                if(_module && _module.calcTransform) {\n                    trace._hasCalcTransform = true;\n                    hasCalcTransform = true;\n                    _module.calcTransform(gd, trace, transform);\n                }\n            }\n        }\n    }\n\n    // clear stuff that should recomputed in 'regular' loop\n    if(hasCalcTransform) clearAxesCalc(axList);\n\n    function calci(i, isContainer) {\n        trace = fullData[i];\n        _module = trace._module;\n\n        if(!!_module.isContainer !== isContainer) return;\n\n        var cd = [];\n\n        if(trace.visible === true) {\n\n            // clear existing ref in case it got relinked\n            delete trace._indexToPoints;\n            // keep ref of index-to-points map object of the *last* enabled transform,\n            // this index-to-points map object is required to determine the calcdata indices\n            // that correspond to input indices (e.g. from 'selectedpoints')\n            var transforms = trace.transforms || [];\n            for(j = transforms.length - 1; j >= 0; j--) {\n                if(transforms[j].enabled) {\n                    trace._indexToPoints = transforms[j]._indexToPoints;\n                    break;\n                }\n            }\n\n            if(_module && _module.calc) {\n                cd = _module.calc(gd, trace);\n            }\n        }\n\n        // Make sure there is a first point.\n        //\n        // This ensures there is a calcdata item for every trace,\n        // even if cartesian logic doesn't handle it (for things like legends).\n        if(!Array.isArray(cd) || !cd[0]) {\n            cd = [{x: BADNUM, y: BADNUM}];\n        }\n\n        // add the trace-wide properties to the first point,\n        // per point properties to every point\n        // t is the holder for trace-wide properties\n        if(!cd[0].t) cd[0].t = {};\n        cd[0].trace = trace;\n\n        calcdata[i] = cd;\n    }\n\n    // 'regular' loop - make sure container traces (eg carpet) calc before\n    // contained traces (eg contourcarpet)\n    for(i = 0; i < fullData.length; i++) calci(i, true);\n    for(i = 0; i < fullData.length; i++) calci(i, false);\n\n    doCrossTraceCalc(gd);\n\n    Registry.getComponentMethod('fx', 'calc')(gd);\n    Registry.getComponentMethod('errorbars', 'calc')(gd);\n};\n\nfunction clearAxesCalc(axList) {\n    for(var i = 0; i < axList.length; i++) {\n        axList[i].clearCalc();\n    }\n}\n\nfunction doCrossTraceCalc(gd) {\n    var fullLayout = gd._fullLayout;\n    var modules = fullLayout._visibleModules;\n    var hash = {};\n    var i, j, k;\n\n    // position and range calculations for traces that\n    // depend on each other ie bars (stacked or grouped)\n    // and boxes (grouped) push each other out of the way\n\n    for(j = 0; j < modules.length; j++) {\n        var _module = modules[j];\n        var fn = _module.crossTraceCalc;\n        if(fn) {\n            var spType = _module.basePlotModule.name;\n            if(hash[spType]) {\n                Lib.pushUnique(hash[spType], fn);\n            } else {\n                hash[spType] = [fn];\n            }\n        }\n    }\n\n    for(k in hash) {\n        var methods = hash[k];\n        var subplots = fullLayout._subplots[k];\n\n        if(Array.isArray(subplots)) {\n            for(i = 0; i < subplots.length; i++) {\n                var sp = subplots[i];\n                var spInfo = k === 'cartesian' ?\n                    fullLayout._plots[sp] :\n                    fullLayout[sp];\n\n                for(j = 0; j < methods.length; j++) {\n                    methods[j](gd, spInfo, sp);\n                }\n            }\n        }\n        else {\n            for(j = 0; j < methods.length; j++) {\n                methods[j](gd);\n            }\n        }\n    }\n}\n\nplots.rehover = function(gd) {\n    if(gd._fullLayout._rehover) {\n        gd._fullLayout._rehover();\n    }\n};\n\nplots.generalUpdatePerTraceModule = function(gd, subplot, subplotCalcData, subplotLayout) {\n    var traceHashOld = subplot.traceHash;\n    var traceHash = {};\n    var i;\n\n    // build up moduleName -> calcData hash\n    for(i = 0; i < subplotCalcData.length; i++) {\n        var calcTraces = subplotCalcData[i],\n            trace = calcTraces[0].trace;\n\n        // skip over visible === false traces\n        // as they don't have `_module` ref\n        if(trace.visible) {\n            traceHash[trace.type] = traceHash[trace.type] || [];\n            traceHash[trace.type].push(calcTraces);\n        }\n    }\n\n    // when a trace gets deleted, make sure that its module's\n    // plot method is called so that it is properly\n    // removed from the DOM.\n    for(var moduleNameOld in traceHashOld) {\n        if(!traceHash[moduleNameOld]) {\n            var fakeCalcTrace = traceHashOld[moduleNameOld][0],\n                fakeTrace = fakeCalcTrace[0].trace;\n\n            fakeTrace.visible = false;\n            traceHash[moduleNameOld] = [fakeCalcTrace];\n        }\n    }\n\n    // call module plot method\n    for(var moduleName in traceHash) {\n        var moduleCalcData = traceHash[moduleName];\n        var _module = moduleCalcData[0][0].trace._module;\n\n        _module.plot(gd, subplot, Lib.filterVisible(moduleCalcData), subplotLayout);\n    }\n\n    // update moduleName -> calcData hash\n    subplot.traceHash = traceHash;\n};\n\n},{\"../components/color\":570,\"../constants/numerical\":673,\"../lib\":696,\"../plot_api/plot_schema\":734,\"../plot_api/plot_template\":735,\"../plots/cartesian/axis_ids\":748,\"../registry\":828,\"./animation_attributes\":740,\"./attributes\":742,\"./command\":770,\"./font_attributes\":772,\"./frame_attributes\":773,\"./layout_attributes\":800,\"d3\":148,\"fast-isnumeric\":214}],810:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    attr: 'subplot',\n    name: 'polar',\n\n    axisNames: ['angularaxis', 'radialaxis'],\n    axisName2dataArray: {angularaxis: 'theta', radialaxis: 'r'},\n\n    layerNames: [\n        'draglayer',\n        'plotbg',\n        'backplot',\n        'angular-grid',\n        'radial-grid',\n        'frontplot',\n        'angular-line',\n        'radial-line',\n        'angular-axis',\n        'radial-axis'\n    ],\n\n    radialDragBoxSize: 50,\n    angularDragBoxSize: 30,\n    cornerLen: 25,\n    cornerHalfWidth: 2,\n\n    // pixels to move mouse before you stop clamping to starting point\n    MINDRAG: 8,\n    // smallest radial distance [px] allowed for a zoombox\n    MINZOOM: 20,\n    // distance [px] off (r=0) or (r=radius) where we transition\n    // from single-sided to two-sided radial zoom\n    OFFEDGE: 20\n};\n\n},{}],811:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar polygonTester = _dereq_('../../lib/polygon').tester;\n\nvar findIndexOfMin = Lib.findIndexOfMin;\nvar isAngleInsideSector = Lib.isAngleInsideSector;\nvar angleDelta = Lib.angleDelta;\nvar angleDist = Lib.angleDist;\n\n/**\n * is pt (r,a) inside polygon made up vertices at angles 'vangles'\n * inside a given polar sector\n *\n * @param {number} r : pt's radial coordinate\n * @param {number} a : pt's angular coordinate in *radians*\n * @param {2-item array} rBnds : sector's radial bounds\n * @param {2-item array} aBnds : sector's angular bounds *radians*\n * @param {array} vangles : angles of polygon vertices in *radians*\n * @return {boolean}\n */\nfunction isPtInsidePolygon(r, a, rBnds, aBnds, vangles) {\n    if(!isAngleInsideSector(a, aBnds)) return false;\n\n    var r0, r1;\n\n    if(rBnds[0] < rBnds[1]) {\n        r0 = rBnds[0];\n        r1 = rBnds[1];\n    } else {\n        r0 = rBnds[1];\n        r1 = rBnds[0];\n    }\n\n    var polygonIn = polygonTester(makePolygon(r0, aBnds[0], aBnds[1], vangles));\n    var polygonOut = polygonTester(makePolygon(r1, aBnds[0], aBnds[1], vangles));\n    var xy = [r * Math.cos(a), r * Math.sin(a)];\n    return polygonOut.contains(xy) && !polygonIn.contains(xy);\n}\n\n// find intersection of 'v0' <-> 'v1' edge with a ray at angle 'a'\n// (i.e. a line that starts from the origin at angle 'a')\n// given an (xp,yp) pair on the 'v0' <-> 'v1' line\n// (N.B. 'v0' and 'v1' are angles in radians)\nfunction findIntersectionXY(v0, v1, a, xpyp) {\n    var xstar, ystar;\n\n    var xp = xpyp[0];\n    var yp = xpyp[1];\n    var dsin = clampTiny(Math.sin(v1) - Math.sin(v0));\n    var dcos = clampTiny(Math.cos(v1) - Math.cos(v0));\n    var tanA = Math.tan(a);\n    var cotanA = clampTiny(1 / tanA);\n    var m = dsin / dcos;\n    var b = yp - m * xp;\n\n    if(cotanA) {\n        if(dsin && dcos) {\n            // given\n            //  g(x) := v0 -> v1 line = m*x + b\n            //  h(x) := ray at angle 'a' = m*x = tanA*x\n            // solve g(xstar) = h(xstar)\n            xstar = b / (tanA - m);\n            ystar = tanA * xstar;\n        } else if(dcos) {\n            // horizontal v0 -> v1\n            xstar = yp * cotanA;\n            ystar = yp;\n        } else {\n            // vertical v0 -> v1\n            xstar = xp;\n            ystar = xp * tanA;\n        }\n    } else {\n        // vertical ray\n        if(dsin && dcos) {\n            xstar = 0;\n            ystar = b;\n        } else if(dcos) {\n            xstar = 0;\n            ystar = yp;\n        } else {\n            // does this case exists?\n            xstar = ystar = NaN;\n        }\n    }\n\n    return [xstar, ystar];\n}\n\n// solves l^2 = (f(x)^2 - yp)^2 + (x - xp)^2\n// rearranged into 0 = a*x^2 + b * x + c\n//\n// where f(x) = m*x + t + yp\n// and   (x0, x1) = (-b +/- del) / (2*a)\nfunction findXYatLength(l, m, xp, yp) {\n    var t = -m * xp;\n    var a = m * m + 1;\n    var b = 2 * (m * t - xp);\n    var c = t * t + xp * xp - l * l;\n    var del = Math.sqrt(b * b - 4 * a * c);\n    var x0 = (-b + del) / (2 * a);\n    var x1 = (-b - del) / (2 * a);\n    return [\n        [x0, m * x0 + t + yp],\n        [x1, m * x1 + t + yp]\n    ];\n}\n\nfunction makeRegularPolygon(r, vangles) {\n    var len = vangles.length;\n    var vertices = new Array(len + 1);\n    var i;\n    for(i = 0; i < len; i++) {\n        var va = vangles[i];\n        vertices[i] = [r * Math.cos(va), r * Math.sin(va)];\n    }\n    vertices[i] = vertices[0].slice();\n    return vertices;\n}\n\nfunction makeClippedPolygon(r, a0, a1, vangles) {\n    var len = vangles.length;\n    var vertices = [];\n    var i, j;\n\n    function a2xy(a) {\n        return [r * Math.cos(a), r * Math.sin(a)];\n    }\n\n    function findXY(va0, va1, s) {\n        return findIntersectionXY(va0, va1, s, a2xy(va0));\n    }\n\n    function cycleIndex(ind) {\n        return Lib.mod(ind, len);\n    }\n\n    function isInside(v) {\n        return isAngleInsideSector(v, [a0, a1]);\n    }\n\n    // find index in sector closest to a0\n    // use it to find intersection of v[i0] <-> v[i0-1] edge with sector radius\n    var i0 = findIndexOfMin(vangles, function(v) {\n        return isInside(v) ? angleDist(v, a0) : Infinity;\n    });\n    var xy0 = findXY(vangles[i0], vangles[cycleIndex(i0 - 1)], a0);\n    vertices.push(xy0);\n\n    // fill in in-sector vertices\n    for(i = i0, j = 0; j < len; i++, j++) {\n        var va = vangles[cycleIndex(i)];\n        if(!isInside(va)) break;\n        vertices.push(a2xy(va));\n    }\n\n    // find index in sector closest to a1,\n    // use it to find intersection of v[iN] <-> v[iN+1] edge with sector radius\n    var iN = findIndexOfMin(vangles, function(v) {\n        return isInside(v) ? angleDist(v, a1) : Infinity;\n    });\n    var xyN = findXY(vangles[iN], vangles[cycleIndex(iN + 1)], a1);\n    vertices.push(xyN);\n\n    vertices.push([0, 0]);\n    vertices.push(vertices[0].slice());\n\n    return vertices;\n}\n\nfunction makePolygon(r, a0, a1, vangles) {\n    return Lib.isFullCircle([a0, a1]) ?\n        makeRegularPolygon(r, vangles) :\n        makeClippedPolygon(r, a0, a1, vangles);\n}\n\nfunction findPolygonOffset(r, a0, a1, vangles) {\n    var minX = Infinity;\n    var minY = Infinity;\n    var vertices = makePolygon(r, a0, a1, vangles);\n\n    for(var i = 0; i < vertices.length; i++) {\n        var v = vertices[i];\n        minX = Math.min(minX, v[0]);\n        minY = Math.min(minY, -v[1]);\n    }\n    return [minX, minY];\n}\n\n/**\n * find vertex angles (in 'vangles') the enclose angle 'a'\n *\n * @param {number} a : angle in *radians*\n * @param {array} vangles : angles of polygon vertices in *radians*\n * @return {2-item array}\n */\nfunction findEnclosingVertexAngles(a, vangles) {\n    var minFn = function(v) {\n        var adelta = angleDelta(v, a);\n        return adelta > 0 ? adelta : Infinity;\n    };\n    var i0 = findIndexOfMin(vangles, minFn);\n    var i1 = Lib.mod(i0 + 1, vangles.length);\n    return [vangles[i0], vangles[i1]];\n}\n\n// to more easily catch 'almost zero' numbers in if-else blocks\nfunction clampTiny(v) {\n    return Math.abs(v) > 1e-10 ? v : 0;\n}\n\nfunction transformForSVG(pts0, cx, cy) {\n    cx = cx || 0;\n    cy = cy || 0;\n\n    var len = pts0.length;\n    var pts1 = new Array(len);\n\n    for(var i = 0; i < len; i++) {\n        var pt = pts0[i];\n        pts1[i] = [cx + pt[0], cy - pt[1]];\n    }\n    return pts1;\n}\n\n/**\n * path polygon\n *\n * @param {number} r : polygon 'radius'\n * @param {number} a0 : first angular coordinate in *radians*\n * @param {number} a1 : second angular coordinate in *radians*\n * @param {array} vangles : angles of polygon vertices in *radians*\n * @param {number (optional)} cx : x coordinate of center\n * @param {number (optional)} cy : y coordinate of center\n * @return {string} svg path\n *\n */\nfunction pathPolygon(r, a0, a1, vangles, cx, cy) {\n    var poly = makePolygon(r, a0, a1, vangles);\n    return 'M' + transformForSVG(poly, cx, cy).join('L');\n}\n\n/**\n * path a polygon 'annulus'\n * i.e. a polygon with a concentric hole\n *\n * N.B. this routine uses the evenodd SVG rule\n *\n * @param {number} r0 : first radial coordinate\n * @param {number} r1 : second radial coordinate\n * @param {number} a0 : first angular coordinate in *radians*\n * @param {number} a1 : second angular coordinate in *radians*\n * @param {array} vangles : angles of polygon vertices in *radians*\n * @param {number (optional)} cx : x coordinate of center\n * @param {number (optional)} cy : y coordinate of center\n * @return {string} svg path\n *\n */\nfunction pathPolygonAnnulus(r0, r1, a0, a1, vangles, cx, cy) {\n    var rStart, rEnd;\n\n    if(r0 < r1) {\n        rStart = r0;\n        rEnd = r1;\n    } else {\n        rStart = r1;\n        rEnd = r0;\n    }\n\n    var inner = transformForSVG(makePolygon(rStart, a0, a1, vangles), cx, cy);\n    var outer = transformForSVG(makePolygon(rEnd, a0, a1, vangles), cx, cy);\n    return 'M' + outer.reverse().join('L') + 'M' + inner.join('L');\n}\n\nmodule.exports = {\n    isPtInsidePolygon: isPtInsidePolygon,\n    findPolygonOffset: findPolygonOffset,\n    findEnclosingVertexAngles: findEnclosingVertexAngles,\n    findIntersectionXY: findIntersectionXY,\n    findXYatLength: findXYatLength,\n    clampTiny: clampTiny,\n    pathPolygon: pathPolygon,\n    pathPolygonAnnulus: pathPolygonAnnulus\n};\n\n},{\"../../lib\":696,\"../../lib/polygon\":709}],812:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar getSubplotCalcData = _dereq_('../get_data').getSubplotCalcData;\nvar counterRegex = _dereq_('../../lib').counterRegex;\n\nvar createPolar = _dereq_('./polar');\nvar constants = _dereq_('./constants');\n\nvar attr = constants.attr;\nvar name = constants.name;\nvar counter = counterRegex(name);\n\nvar attributes = {};\nattributes[attr] = {\n    valType: 'subplotid',\n    \n    dflt: name,\n    editType: 'calc',\n    \n};\n\nfunction plot(gd) {\n    var fullLayout = gd._fullLayout;\n    var calcData = gd.calcdata;\n    var subplotIds = fullLayout._subplots[name];\n\n    for(var i = 0; i < subplotIds.length; i++) {\n        var id = subplotIds[i];\n        var subplotCalcData = getSubplotCalcData(calcData, name, id);\n        var subplot = fullLayout[id]._subplot;\n\n        if(!subplot) {\n            subplot = createPolar(gd, id);\n            fullLayout[id]._subplot = subplot;\n        }\n\n        subplot.plot(subplotCalcData, fullLayout, gd._promises);\n    }\n}\n\nfunction clean(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var oldIds = oldFullLayout._subplots[name] || [];\n    var hadGl = (oldFullLayout._has && oldFullLayout._has('gl'));\n    var hasGl = (newFullLayout._has && newFullLayout._has('gl'));\n    var mustCleanScene = hadGl && !hasGl;\n\n    for(var i = 0; i < oldIds.length; i++) {\n        var id = oldIds[i];\n        var oldSubplot = oldFullLayout[id]._subplot;\n\n        if(!newFullLayout[id] && !!oldSubplot) {\n            oldSubplot.framework.remove();\n            oldSubplot.layers['radial-axis-title'].remove();\n\n            for(var k in oldSubplot.clipPaths) {\n                oldSubplot.clipPaths[k].remove();\n            }\n        }\n\n        if(mustCleanScene && oldSubplot._scene) {\n            oldSubplot._scene.destroy();\n            oldSubplot._scene = null;\n        }\n    }\n}\n\nmodule.exports = {\n    attr: attr,\n    name: name,\n    idRoot: name,\n    idRegex: counter,\n    attrRegex: counter,\n    attributes: attributes,\n    layoutAttributes: _dereq_('./layout_attributes'),\n    supplyLayoutDefaults: _dereq_('./layout_defaults'),\n    plot: plot,\n    clean: clean,\n    toSVG: _dereq_('../cartesian').toSVG\n};\n\n},{\"../../lib\":696,\"../cartesian\":757,\"../get_data\":782,\"./constants\":810,\"./layout_attributes\":813,\"./layout_defaults\":814,\"./polar\":821}],813:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorAttrs = _dereq_('../../components/color/attributes');\nvar axesAttrs = _dereq_('../cartesian/layout_attributes');\nvar domainAttrs = _dereq_('../domain').attributes;\nvar extendFlat = _dereq_('../../lib').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\nvar axisLineGridAttr = overrideAll({\n    color: axesAttrs.color,\n    showline: extendFlat({}, axesAttrs.showline, {dflt: true}),\n    linecolor: axesAttrs.linecolor,\n    linewidth: axesAttrs.linewidth,\n    showgrid: extendFlat({}, axesAttrs.showgrid, {dflt: true}),\n    gridcolor: axesAttrs.gridcolor,\n    gridwidth: axesAttrs.gridwidth\n\n    // TODO add spike* attributes down the road\n\n    // should we add zeroline* attributes?\n\n}, 'plot', 'from-root');\n\nvar axisTickAttrs = overrideAll({\n    tickmode: axesAttrs.tickmode,\n    nticks: axesAttrs.nticks,\n    tick0: axesAttrs.tick0,\n    dtick: axesAttrs.dtick,\n    tickvals: axesAttrs.tickvals,\n    ticktext: axesAttrs.ticktext,\n    ticks: axesAttrs.ticks,\n    ticklen: axesAttrs.ticklen,\n    tickwidth: axesAttrs.tickwidth,\n    tickcolor: axesAttrs.tickcolor,\n    showticklabels: axesAttrs.showticklabels,\n    showtickprefix: axesAttrs.showtickprefix,\n    tickprefix: axesAttrs.tickprefix,\n    showticksuffix: axesAttrs.showticksuffix,\n    ticksuffix: axesAttrs.ticksuffix,\n    showexponent: axesAttrs.showexponent,\n    exponentformat: axesAttrs.exponentformat,\n    separatethousands: axesAttrs.separatethousands,\n    tickfont: axesAttrs.tickfont,\n    tickangle: axesAttrs.tickangle,\n    tickformat: axesAttrs.tickformat,\n    tickformatstops: axesAttrs.tickformatstops,\n    layer: axesAttrs.layer\n}, 'plot', 'from-root');\n\nvar radialAxisAttrs = {\n    visible: extendFlat({}, axesAttrs.visible, {dflt: true}),\n    type: axesAttrs.type,\n\n    autorange: extendFlat({}, axesAttrs.autorange, {editType: 'plot'}),\n    rangemode: {\n        valType: 'enumerated',\n        values: ['tozero', 'nonnegative', 'normal'],\n        dflt: 'tozero',\n        \n        editType: 'calc',\n        \n    },\n    range: extendFlat({}, axesAttrs.range, {\n        items: [\n            {valType: 'any', editType: 'plot', impliedEdits: {'^autorange': false}},\n            {valType: 'any', editType: 'plot', impliedEdits: {'^autorange': false}}\n        ],\n        editType: 'plot'\n    }),\n\n    categoryorder: axesAttrs.categoryorder,\n    categoryarray: axesAttrs.categoryarray,\n\n    angle: {\n        valType: 'angle',\n        editType: 'plot',\n        \n        \n    },\n\n    side: {\n        valType: 'enumerated',\n        // TODO add 'center' for `showline: false` radial axes\n        values: ['clockwise', 'counterclockwise'],\n        dflt: 'clockwise',\n        editType: 'plot',\n        \n        \n    },\n\n\n    title: extendFlat({}, axesAttrs.title, {editType: 'plot', dflt: ''}),\n    titlefont: overrideAll(axesAttrs.titlefont, 'plot', 'from-root'),\n    // might need a 'titleside' and even 'titledirection' down the road\n\n    hoverformat: axesAttrs.hoverformat,\n\n    editType: 'calc'\n};\n\nextendFlat(\n    radialAxisAttrs,\n\n    // N.B. radialaxis grid lines are circular,\n    // but radialaxis lines are straight from circle center to outer bound\n    axisLineGridAttr,\n    axisTickAttrs\n);\n\nvar angularAxisAttrs = {\n    visible: extendFlat({}, axesAttrs.visible, {dflt: true}),\n    type: {\n        valType: 'enumerated',\n        // 'linear' should maybe be called 'angle' or 'angular' here\n        // to make clear that axis here is periodic and more tightly match\n        // `thetaunit`?\n        //\n        // skip 'date' for first push\n        // no 'log' for now\n        values: ['-', 'linear', 'category'],\n        dflt: '-',\n        \n        editType: 'calc',\n        _noTemplating: true,\n        \n    },\n\n    categoryorder: axesAttrs.categoryorder,\n    categoryarray: axesAttrs.categoryarray,\n\n    thetaunit: {\n        valType: 'enumerated',\n        values: ['radians', 'degrees'],\n        dflt: 'degrees',\n        \n        editType: 'calc',\n        \n    },\n\n    period: {\n        valType: 'number',\n        editType: 'calc',\n        min: 0,\n        \n        \n        // Examples for date axes:\n        //\n        // - period that equals the timeseries length\n        //  http://flowingdata.com/2017/01/24/one-dataset-visualized-25-ways/18-polar-coordinates/\n        // - and 1-year periods (focusing on seasonal change0\n        //  http://otexts.org/fpp2/seasonal-plots.html\n        //  https://blogs.scientificamerican.com/sa-visual/why-are-so-many-babies-born-around-8-00-a-m/\n        //  http://www.seasonaladjustment.com/2012/09/05/clock-plot-visualising-seasonality-using-r-and-ggplot2-part-3/\n        //  https://i.pinimg.com/736x/49/b9/72/49b972ccb3206a1a6d6f870dac543280.jpg\n        //  https://www.climate-lab-book.ac.uk/spirals/\n    },\n\n    direction: {\n        valType: 'enumerated',\n        values: ['counterclockwise', 'clockwise'],\n        dflt: 'counterclockwise',\n        \n        editType: 'calc',\n        \n    },\n\n    rotation: {\n        valType: 'angle',\n        editType: 'calc',\n        \n        \n    },\n\n    hoverformat: axesAttrs.hoverformat,\n\n    editType: 'calc'\n};\n\nextendFlat(\n    angularAxisAttrs,\n\n    // N.B. angular grid lines are straight lines from circle center to outer bound\n    // the angular line is circular bounding the polar plot area.\n    axisLineGridAttr,\n\n    // N.B. ticksuffix defaults to '°' for angular axes with `thetaunit: 'degrees'`\n    axisTickAttrs\n);\n\nmodule.exports = {\n    // TODO for x/y/zoom system for paper-based zooming:\n    // x: {},\n    // y: {},\n    // zoom: {},\n\n    domain: domainAttrs({name: 'polar', editType: 'plot'}),\n\n    sector: {\n        valType: 'info_array',\n        items: [\n            {valType: 'number', editType: 'plot'},\n            {valType: 'number', editType: 'plot'}\n        ],\n        dflt: [0, 360],\n        \n        editType: 'plot',\n        \n    },\n    hole: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        dflt: 0,\n        editType: 'plot',\n        \n        \n    },\n\n    bgcolor: {\n        valType: 'color',\n        \n        editType: 'plot',\n        dflt: colorAttrs.background,\n        \n    },\n\n    radialaxis: radialAxisAttrs,\n    angularaxis: angularAxisAttrs,\n\n    gridshape: {\n        valType: 'enumerated',\n        values: ['circular', 'linear'],\n        dflt: 'circular',\n        \n        editType: 'plot',\n        \n    },\n\n    // TODO maybe?\n    // annotations:\n\n    editType: 'calc'\n};\n\n},{\"../../components/color/attributes\":569,\"../../lib\":696,\"../../plot_api/edit_types\":728,\"../cartesian/layout_attributes\":758,\"../domain\":771}],814:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Color = _dereq_('../../components/color');\nvar Template = _dereq_('../../plot_api/plot_template');\n\nvar handleSubplotDefaults = _dereq_('../subplot_defaults');\nvar getSubplotData = _dereq_('../get_data').getSubplotData;\n\nvar handleTickValueDefaults = _dereq_('../cartesian/tick_value_defaults');\nvar handleTickMarkDefaults = _dereq_('../cartesian/tick_mark_defaults');\nvar handleTickLabelDefaults = _dereq_('../cartesian/tick_label_defaults');\nvar handleCategoryOrderDefaults = _dereq_('../cartesian/category_order_defaults');\nvar handleLineGridDefaults = _dereq_('../cartesian/line_grid_defaults');\nvar autoType = _dereq_('../cartesian/axis_autotype');\n\nvar layoutAttributes = _dereq_('./layout_attributes');\nvar setConvert = _dereq_('./set_convert');\nvar constants = _dereq_('./constants');\nvar axisNames = constants.axisNames;\n\nfunction handleDefaults(contIn, contOut, coerce, opts) {\n    var bgColor = coerce('bgcolor');\n    opts.bgColor = Color.combine(bgColor, opts.paper_bgcolor);\n\n    var sector = coerce('sector');\n    coerce('hole');\n\n    // could optimize, subplotData is not always needed!\n    var subplotData = getSubplotData(opts.fullData, constants.name, opts.id);\n    var layoutOut = opts.layoutOut;\n    var axName;\n\n    function coerceAxis(attr, dflt) {\n        return coerce(axName + '.' + attr, dflt);\n    }\n\n    for(var i = 0; i < axisNames.length; i++) {\n        axName = axisNames[i];\n\n        if(!Lib.isPlainObject(contIn[axName])) {\n            contIn[axName] = {};\n        }\n\n        var axIn = contIn[axName];\n        var axOut = Template.newContainer(contOut, axName);\n        axOut._id = axOut._name = axName;\n        axOut._traceIndices = subplotData.map(function(t) { return t._expandedIndex; });\n\n        var dataAttr = constants.axisName2dataArray[axName];\n        var axType = handleAxisTypeDefaults(axIn, axOut, coerceAxis, subplotData, dataAttr);\n\n        handleCategoryOrderDefaults(axIn, axOut, coerceAxis, {\n            axData: subplotData,\n            dataAttr: dataAttr\n        });\n\n        var visible = coerceAxis('visible');\n        setConvert(axOut, contOut, layoutOut);\n\n        var dfltColor;\n        var dfltFontColor;\n\n        if(visible) {\n            dfltColor = coerceAxis('color');\n            dfltFontColor = (dfltColor === axIn.color) ? dfltColor : opts.font.color;\n        }\n\n        // We don't want to make downstream code call ax.setScale,\n        // as both radial and angular axes don't have a set domain.\n        // Furthermore, angular axes don't have a set range.\n        //\n        // Mocked domains and ranges are set by the polar subplot instances,\n        // but Axes.findExtremes uses the sign of _m to determine which padding value\n        // to use.\n        //\n        // By setting, _m to 1 here, we make Axes.findExtremes think that\n        // range[1] > range[0], and vice-versa for `autorange: 'reversed'` below.\n        axOut._m = 1;\n\n        switch(axName) {\n            case 'radialaxis':\n                var autoRange = coerceAxis('autorange', !axOut.isValidRange(axIn.range));\n                axIn.autorange = autoRange;\n                if(autoRange && (axType === 'linear' || axType === '-')) coerceAxis('rangemode');\n                if(autoRange === 'reversed') axOut._m = -1;\n\n                coerceAxis('range');\n                axOut.cleanRange('range', {dfltRange: [0, 1]});\n\n                if(visible) {\n                    coerceAxis('side');\n                    coerceAxis('angle', sector[0]);\n\n                    coerceAxis('title');\n                    Lib.coerceFont(coerceAxis, 'titlefont', {\n                        family: opts.font.family,\n                        size: Math.round(opts.font.size * 1.2),\n                        color: dfltFontColor\n                    });\n                }\n                break;\n\n            case 'angularaxis':\n                // We do not support 'true' date angular axes yet,\n                // users can still plot dates on angular axes by setting\n                // `angularaxis.type: 'category'`.\n                //\n                // Here, if a date angular axes is detected, we make\n                // all its corresponding traces invisible, so that\n                // when we do add support for data angular axes, the new\n                // behavior won't conflict with existing behavior\n                if(axType === 'date') {\n                    Lib.log('Polar plots do not support date angular axes yet.');\n\n                    for(var j = 0; j < subplotData.length; j++) {\n                        subplotData[j].visible = false;\n                    }\n\n                    // turn this into a 'dummy' linear axis so that\n                    // the subplot still renders ok\n                    axType = axIn.type = axOut.type = 'linear';\n                }\n\n                if(axType === 'linear') {\n                    coerceAxis('thetaunit');\n                } else {\n                    coerceAxis('period');\n                }\n\n                var direction = coerceAxis('direction');\n                coerceAxis('rotation', {counterclockwise: 0, clockwise: 90}[direction]);\n                break;\n        }\n\n        if(visible) {\n            handleTickValueDefaults(axIn, axOut, coerceAxis, axOut.type);\n            handleTickLabelDefaults(axIn, axOut, coerceAxis, axOut.type, {\n                tickSuffixDflt: axOut.thetaunit === 'degrees' ? '°' : undefined\n            });\n            handleTickMarkDefaults(axIn, axOut, coerceAxis, {outerTicks: true});\n\n            var showTickLabels = coerceAxis('showticklabels');\n            if(showTickLabels) {\n                Lib.coerceFont(coerceAxis, 'tickfont', {\n                    family: opts.font.family,\n                    size: opts.font.size,\n                    color: dfltFontColor\n                });\n                coerceAxis('tickangle');\n                coerceAxis('tickformat');\n            }\n\n            handleLineGridDefaults(axIn, axOut, coerceAxis, {\n                dfltColor: dfltColor,\n                bgColor: opts.bgColor,\n                // default grid color is darker here (60%, vs cartesian default ~91%)\n                // because the grid is not square so the eye needs heavier cues to follow\n                blend: 60,\n                showLine: true,\n                showGrid: true,\n                noZeroLine: true,\n                attributes: layoutAttributes[axName]\n            });\n\n            coerceAxis('layer');\n        }\n\n        if(axType !== 'category') coerceAxis('hoverformat');\n\n        axOut._input = axIn;\n    }\n\n    if(contOut.angularaxis.type === 'category') {\n        coerce('gridshape');\n    }\n}\n\nfunction handleAxisTypeDefaults(axIn, axOut, coerce, subplotData, dataAttr) {\n    var axType = coerce('type');\n\n    if(axType === '-') {\n        var trace;\n\n        for(var i = 0; i < subplotData.length; i++) {\n            if(subplotData[i].visible) {\n                trace = subplotData[i];\n                break;\n            }\n        }\n\n        if(trace && trace[dataAttr]) {\n            axOut.type = autoType(trace[dataAttr], 'gregorian');\n        }\n\n        if(axOut.type === '-') {\n            axOut.type = 'linear';\n        } else {\n            // copy autoType back to input axis\n            // note that if this object didn't exist\n            // in the input layout, we have to put it in\n            // this happens in the main supplyDefaults function\n            axIn.type = axOut.type;\n        }\n    }\n\n    return axOut.type;\n}\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut, fullData) {\n    handleSubplotDefaults(layoutIn, layoutOut, fullData, {\n        type: constants.name,\n        attributes: layoutAttributes,\n        handleDefaults: handleDefaults,\n        font: layoutOut.font,\n        paper_bgcolor: layoutOut.paper_bgcolor,\n        fullData: fullData,\n        layoutOut: layoutOut\n    });\n};\n\n},{\"../../components/color\":570,\"../../lib\":696,\"../../plot_api/plot_template\":735,\"../cartesian/axis_autotype\":746,\"../cartesian/category_order_defaults\":749,\"../cartesian/line_grid_defaults\":760,\"../cartesian/tick_label_defaults\":765,\"../cartesian/tick_mark_defaults\":766,\"../cartesian/tick_value_defaults\":767,\"../get_data\":782,\"../subplot_defaults\":823,\"./constants\":810,\"./layout_attributes\":813,\"./set_convert\":822}],815:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterAttrs = _dereq_('../../../traces/scatter/attributes');\nvar scatterMarkerAttrs = scatterAttrs.marker;\nvar extendFlat = _dereq_('../../../lib/extend').extendFlat;\n\nvar deprecationWarning = [\n    'Area traces are deprecated!',\n    'Please switch to the *barpolar* trace type.'\n].join(' ');\n\nmodule.exports = {\n    r: extendFlat({}, scatterAttrs.r, {\n        \n    }),\n    t: extendFlat({}, scatterAttrs.t, {\n        \n    }),\n    marker: {\n        color: extendFlat({}, scatterMarkerAttrs.color, {\n            \n        }),\n        size: extendFlat({}, scatterMarkerAttrs.size, {\n            \n        }),\n        symbol: extendFlat({}, scatterMarkerAttrs.symbol, {\n            \n        }),\n        opacity: extendFlat({}, scatterMarkerAttrs.opacity, {\n            \n        }),\n        editType: 'calc'\n    }\n};\n\n},{\"../../../lib/extend\":685,\"../../../traces/scatter/attributes\":1044}],816:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar axesAttrs = _dereq_('../../cartesian/layout_attributes');\nvar extendFlat = _dereq_('../../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../../plot_api/edit_types').overrideAll;\n\nvar deprecationWarning = [\n    'Legacy polar charts are deprecated!',\n    'Please switch to *polar* subplots.'\n].join(' ');\n\nvar domainAttr = extendFlat({}, axesAttrs.domain, {\n    \n});\n\nfunction mergeAttrs(axisName, nonCommonAttrs) {\n    var commonAttrs = {\n        showline: {\n            valType: 'boolean',\n            \n            \n        },\n        showticklabels: {\n            valType: 'boolean',\n            \n            \n        },\n        tickorientation: {\n            valType: 'enumerated',\n            values: ['horizontal', 'vertical'],\n            \n            \n        },\n        ticklen: {\n            valType: 'number',\n            min: 0,\n            \n            \n        },\n        tickcolor: {\n            valType: 'color',\n            \n            \n        },\n        ticksuffix: {\n            valType: 'string',\n            \n            \n        },\n        endpadding: {\n            valType: 'number',\n            \n            description: deprecationWarning,\n        },\n        visible: {\n            valType: 'boolean',\n            \n            \n        }\n    };\n\n    return extendFlat({}, nonCommonAttrs, commonAttrs);\n}\n\nmodule.exports = overrideAll({\n    radialaxis: mergeAttrs('radial', {\n        range: {\n            valType: 'info_array',\n            \n            items: [\n                { valType: 'number' },\n                { valType: 'number' }\n            ],\n            \n        },\n        domain: domainAttr,\n        orientation: {\n            valType: 'number',\n            \n            \n        }\n    }),\n\n    angularaxis: mergeAttrs('angular', {\n        range: {\n            valType: 'info_array',\n            \n            items: [\n                { valType: 'number', dflt: 0 },\n                { valType: 'number', dflt: 360 }\n            ],\n            \n        },\n        domain: domainAttr\n    }),\n\n    // attributes that appear at layout root\n    layout: {\n        direction: {\n            valType: 'enumerated',\n            values: ['clockwise', 'counterclockwise'],\n            \n            \n        },\n        orientation: {\n            valType: 'angle',\n            \n            \n        }\n    }\n}, 'plot', 'nested');\n\n},{\"../../../lib/extend\":685,\"../../../plot_api/edit_types\":728,\"../../cartesian/layout_attributes\":758}],817:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Polar = module.exports = _dereq_('./micropolar');\n\nPolar.manager = _dereq_('./micropolar_manager');\n\n},{\"./micropolar\":818,\"./micropolar_manager\":819}],818:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\nvar d3 = _dereq_('d3');\nvar Lib = _dereq_('../../../lib');\nvar extendDeepAll = Lib.extendDeepAll;\nvar MID_SHIFT = _dereq_('../../../constants/alignment').MID_SHIFT;\n\nvar µ = module.exports = { version: '0.2.2' };\n\nµ.Axis = function module() {\n    var config = {\n        data: [],\n        layout: {}\n    }, inputConfig = {}, liveConfig = {};\n    var svg, container, dispatch = d3.dispatch('hover'), radialScale, angularScale;\n    var exports = {};\n    function render(_container) {\n        container = _container || container;\n        var data = config.data;\n        var axisConfig = config.layout;\n        if (typeof container == 'string' || container.nodeName) container = d3.select(container);\n        container.datum(data).each(function(_data, _index) {\n            var dataOriginal = _data.slice();\n            liveConfig = {\n                data: µ.util.cloneJson(dataOriginal),\n                layout: µ.util.cloneJson(axisConfig)\n            };\n            var colorIndex = 0;\n            dataOriginal.forEach(function(d, i) {\n                if (!d.color) {\n                    d.color = axisConfig.defaultColorRange[colorIndex];\n                    colorIndex = (colorIndex + 1) % axisConfig.defaultColorRange.length;\n                }\n                if (!d.strokeColor) {\n                    d.strokeColor = d.geometry === 'LinePlot' ? d.color : d3.rgb(d.color).darker().toString();\n                }\n                liveConfig.data[i].color = d.color;\n                liveConfig.data[i].strokeColor = d.strokeColor;\n                liveConfig.data[i].strokeDash = d.strokeDash;\n                liveConfig.data[i].strokeSize = d.strokeSize;\n            });\n            var data = dataOriginal.filter(function(d, i) {\n                var visible = d.visible;\n                return typeof visible === 'undefined' || visible === true;\n            });\n            var isStacked = false;\n            var dataWithGroupId = data.map(function(d, i) {\n                isStacked = isStacked || typeof d.groupId !== 'undefined';\n                return d;\n            });\n            if (isStacked) {\n                var grouped = d3.nest().key(function(d, i) {\n                    return typeof d.groupId != 'undefined' ? d.groupId : 'unstacked';\n                }).entries(dataWithGroupId);\n                var dataYStack = [];\n                var stacked = grouped.map(function(d, i) {\n                    if (d.key === 'unstacked') return d.values; else {\n                        var prevArray = d.values[0].r.map(function(d, i) {\n                            return 0;\n                        });\n                        d.values.forEach(function(d, i, a) {\n                            d.yStack = [ prevArray ];\n                            dataYStack.push(prevArray);\n                            prevArray = µ.util.sumArrays(d.r, prevArray);\n                        });\n                        return d.values;\n                    }\n                });\n                data = d3.merge(stacked);\n            }\n            data.forEach(function(d, i) {\n                d.t = Array.isArray(d.t[0]) ? d.t : [ d.t ];\n                d.r = Array.isArray(d.r[0]) ? d.r : [ d.r ];\n            });\n            var radius = Math.min(axisConfig.width - axisConfig.margin.left - axisConfig.margin.right, axisConfig.height - axisConfig.margin.top - axisConfig.margin.bottom) / 2;\n            radius = Math.max(10, radius);\n            var chartCenter = [ axisConfig.margin.left + radius, axisConfig.margin.top + radius ];\n            var extent;\n            if (isStacked) {\n                var highestStackedValue = d3.max(µ.util.sumArrays(µ.util.arrayLast(data).r[0], µ.util.arrayLast(dataYStack)));\n                extent = [ 0, highestStackedValue ];\n            } else extent = d3.extent(µ.util.flattenArray(data.map(function(d, i) {\n                return d.r;\n            })));\n            if (axisConfig.radialAxis.domain != µ.DATAEXTENT) extent[0] = 0;\n            radialScale = d3.scale.linear().domain(axisConfig.radialAxis.domain != µ.DATAEXTENT && axisConfig.radialAxis.domain ? axisConfig.radialAxis.domain : extent).range([ 0, radius ]);\n            liveConfig.layout.radialAxis.domain = radialScale.domain();\n            var angularDataMerged = µ.util.flattenArray(data.map(function(d, i) {\n                return d.t;\n            }));\n            var isOrdinal = typeof angularDataMerged[0] === 'string';\n            var ticks;\n            if (isOrdinal) {\n                angularDataMerged = µ.util.deduplicate(angularDataMerged);\n                ticks = angularDataMerged.slice();\n                angularDataMerged = d3.range(angularDataMerged.length);\n                data = data.map(function(d, i) {\n                    var result = d;\n                    d.t = [ angularDataMerged ];\n                    if (isStacked) result.yStack = d.yStack;\n                    return result;\n                });\n            }\n            var hasOnlyLineOrDotPlot = data.filter(function(d, i) {\n                return d.geometry === 'LinePlot' || d.geometry === 'DotPlot';\n            }).length === data.length;\n            var needsEndSpacing = axisConfig.needsEndSpacing === null ? isOrdinal || !hasOnlyLineOrDotPlot : axisConfig.needsEndSpacing;\n            var useProvidedDomain = axisConfig.angularAxis.domain && axisConfig.angularAxis.domain != µ.DATAEXTENT && !isOrdinal && axisConfig.angularAxis.domain[0] >= 0;\n            var angularDomain = useProvidedDomain ? axisConfig.angularAxis.domain : d3.extent(angularDataMerged);\n            var angularDomainStep = Math.abs(angularDataMerged[1] - angularDataMerged[0]);\n            if (hasOnlyLineOrDotPlot && !isOrdinal) angularDomainStep = 0;\n            var angularDomainWithPadding = angularDomain.slice();\n            if (needsEndSpacing && isOrdinal) angularDomainWithPadding[1] += angularDomainStep;\n            var tickCount = axisConfig.angularAxis.ticksCount || 4;\n            if (tickCount > 8) tickCount = tickCount / (tickCount / 8) + tickCount % 8;\n            if (axisConfig.angularAxis.ticksStep) {\n                tickCount = (angularDomainWithPadding[1] - angularDomainWithPadding[0]) / tickCount;\n            }\n            var angularTicksStep = axisConfig.angularAxis.ticksStep || (angularDomainWithPadding[1] - angularDomainWithPadding[0]) / (tickCount * (axisConfig.minorTicks + 1));\n            if (ticks) angularTicksStep = Math.max(Math.round(angularTicksStep), 1);\n            if (!angularDomainWithPadding[2]) angularDomainWithPadding[2] = angularTicksStep;\n            var angularAxisRange = d3.range.apply(this, angularDomainWithPadding);\n            angularAxisRange = angularAxisRange.map(function(d, i) {\n                return parseFloat(d.toPrecision(12));\n            });\n            angularScale = d3.scale.linear().domain(angularDomainWithPadding.slice(0, 2)).range(axisConfig.direction === 'clockwise' ? [ 0, 360 ] : [ 360, 0 ]);\n            liveConfig.layout.angularAxis.domain = angularScale.domain();\n            liveConfig.layout.angularAxis.endPadding = needsEndSpacing ? angularDomainStep : 0;\n            svg = d3.select(this).select('svg.chart-root');\n            if (typeof svg === 'undefined' || svg.empty()) {\n                var skeleton = \"<svg xmlns='http://www.w3.org/2000/svg' class='chart-root'>' + '<g class='outer-group'>' + '<g class='chart-group'>' + '<circle class='background-circle'></circle>' + '<g class='geometry-group'></g>' + '<g class='radial axis-group'>' + '<circle class='outside-circle'></circle>' + '</g>' + '<g class='angular axis-group'></g>' + '<g class='guides-group'><line></line><circle r='0'></circle></g>' + '</g>' + '<g class='legend-group'></g>' + '<g class='tooltips-group'></g>' + '<g class='title-group'><text></text></g>' + '</g>' + '</svg>\";\n                var doc = new DOMParser().parseFromString(skeleton, 'application/xml');\n                var newSvg = this.appendChild(this.ownerDocument.importNode(doc.documentElement, true));\n                svg = d3.select(newSvg);\n            }\n            svg.select('.guides-group').style({\n                'pointer-events': 'none'\n            });\n            svg.select('.angular.axis-group').style({\n                'pointer-events': 'none'\n            });\n            svg.select('.radial.axis-group').style({\n                'pointer-events': 'none'\n            });\n            var chartGroup = svg.select('.chart-group');\n            var lineStyle = {\n                fill: 'none',\n                stroke: axisConfig.tickColor\n            };\n            var fontStyle = {\n                'font-size': axisConfig.font.size,\n                'font-family': axisConfig.font.family,\n                fill: axisConfig.font.color,\n                'text-shadow': [ '-1px 0px', '1px -1px', '-1px 1px', '1px 1px' ].map(function(d, i) {\n                    return ' ' + d + ' 0 ' + axisConfig.font.outlineColor;\n                }).join(',')\n            };\n            var legendContainer;\n            if (axisConfig.showLegend) {\n                legendContainer = svg.select('.legend-group').attr({\n                    transform: 'translate(' + [ radius, axisConfig.margin.top ] + ')'\n                }).style({\n                    display: 'block'\n                });\n                var elements = data.map(function(d, i) {\n                    var datumClone = µ.util.cloneJson(d);\n                    datumClone.symbol = d.geometry === 'DotPlot' ? d.dotType || 'circle' : d.geometry != 'LinePlot' ? 'square' : 'line';\n                    datumClone.visibleInLegend = typeof d.visibleInLegend === 'undefined' || d.visibleInLegend;\n                    datumClone.color = d.geometry === 'LinePlot' ? d.strokeColor : d.color;\n                    return datumClone;\n                });\n\n                µ.Legend().config({\n                    data: data.map(function(d, i) {\n                        return d.name || 'Element' + i;\n                    }),\n                    legendConfig: extendDeepAll({},\n                        µ.Legend.defaultConfig().legendConfig,\n                        {\n                            container: legendContainer,\n                            elements: elements,\n                            reverseOrder: axisConfig.legend.reverseOrder\n                        }\n                    )\n                })();\n\n                var legendBBox = legendContainer.node().getBBox();\n                radius = Math.min(axisConfig.width - legendBBox.width - axisConfig.margin.left - axisConfig.margin.right, axisConfig.height - axisConfig.margin.top - axisConfig.margin.bottom) / 2;\n                radius = Math.max(10, radius);\n                chartCenter = [ axisConfig.margin.left + radius, axisConfig.margin.top + radius ];\n                radialScale.range([ 0, radius ]);\n                liveConfig.layout.radialAxis.domain = radialScale.domain();\n                legendContainer.attr('transform', 'translate(' + [ chartCenter[0] + radius, chartCenter[1] - radius ] + ')');\n            } else {\n                legendContainer = svg.select('.legend-group').style({\n                    display: 'none'\n                });\n            }\n            svg.attr({\n                width: axisConfig.width,\n                height: axisConfig.height\n            }).style({\n                opacity: axisConfig.opacity\n            });\n            chartGroup.attr('transform', 'translate(' + chartCenter + ')').style({\n                cursor: 'crosshair'\n            });\n            var centeringOffset = [ (axisConfig.width - (axisConfig.margin.left + axisConfig.margin.right + radius * 2 + (legendBBox ? legendBBox.width : 0))) / 2, (axisConfig.height - (axisConfig.margin.top + axisConfig.margin.bottom + radius * 2)) / 2 ];\n            centeringOffset[0] = Math.max(0, centeringOffset[0]);\n            centeringOffset[1] = Math.max(0, centeringOffset[1]);\n            svg.select('.outer-group').attr('transform', 'translate(' + centeringOffset + ')');\n            if (axisConfig.title) {\n                var title = svg.select('g.title-group text').style(fontStyle).text(axisConfig.title);\n                var titleBBox = title.node().getBBox();\n                title.attr({\n                    x: chartCenter[0] - titleBBox.width / 2,\n                    y: chartCenter[1] - radius - 20\n                });\n            }\n            var radialAxis = svg.select('.radial.axis-group');\n            if (axisConfig.radialAxis.gridLinesVisible) {\n                var gridCircles = radialAxis.selectAll('circle.grid-circle').data(radialScale.ticks(5));\n                gridCircles.enter().append('circle').attr({\n                    'class': 'grid-circle'\n                }).style(lineStyle);\n                gridCircles.attr('r', radialScale);\n                gridCircles.exit().remove();\n            }\n            radialAxis.select('circle.outside-circle').attr({\n                r: radius\n            }).style(lineStyle);\n            var backgroundCircle = svg.select('circle.background-circle').attr({\n                r: radius\n            }).style({\n                fill: axisConfig.backgroundColor,\n                stroke: axisConfig.stroke\n            });\n            function currentAngle(d, i) {\n                return angularScale(d) % 360 + axisConfig.orientation;\n            }\n            if (axisConfig.radialAxis.visible) {\n                var axis = d3.svg.axis().scale(radialScale).ticks(5).tickSize(5);\n                radialAxis.call(axis).attr({\n                    transform: 'rotate(' + axisConfig.radialAxis.orientation + ')'\n                });\n                radialAxis.selectAll('.domain').style(lineStyle);\n                radialAxis.selectAll('g>text').text(function(d, i) {\n                    return this.textContent + axisConfig.radialAxis.ticksSuffix;\n                }).style(fontStyle).style({\n                    'text-anchor': 'start'\n                }).attr({\n                    x: 0,\n                    y: 0,\n                    dx: 0,\n                    dy: 0,\n                    transform: function(d, i) {\n                        if (axisConfig.radialAxis.tickOrientation === 'horizontal') {\n                            return 'rotate(' + -axisConfig.radialAxis.orientation + ') translate(' + [ 0, fontStyle['font-size'] ] + ')';\n                        } else return 'translate(' + [ 0, fontStyle['font-size'] ] + ')';\n                    }\n                });\n                radialAxis.selectAll('g>line').style({\n                    stroke: 'black'\n                });\n            }\n            var angularAxis = svg.select('.angular.axis-group').selectAll('g.angular-tick').data(angularAxisRange);\n            var angularAxisEnter = angularAxis.enter().append('g').classed('angular-tick', true);\n            angularAxis.attr({\n                transform: function(d, i) {\n                    return 'rotate(' + currentAngle(d, i) + ')';\n                }\n            }).style({\n                display: axisConfig.angularAxis.visible ? 'block' : 'none'\n            });\n            angularAxis.exit().remove();\n            angularAxisEnter.append('line').classed('grid-line', true).classed('major', function(d, i) {\n                return i % (axisConfig.minorTicks + 1) == 0;\n            }).classed('minor', function(d, i) {\n                return !(i % (axisConfig.minorTicks + 1) == 0);\n            }).style(lineStyle);\n            angularAxisEnter.selectAll('.minor').style({\n                stroke: axisConfig.minorTickColor\n            });\n            angularAxis.select('line.grid-line').attr({\n                x1: axisConfig.tickLength ? radius - axisConfig.tickLength : 0,\n                x2: radius\n            }).style({\n                display: axisConfig.angularAxis.gridLinesVisible ? 'block' : 'none'\n            });\n            angularAxisEnter.append('text').classed('axis-text', true).style(fontStyle);\n            var ticksText = angularAxis.select('text.axis-text').attr({\n                x: radius + axisConfig.labelOffset,\n                dy: MID_SHIFT + 'em',\n                transform: function(d, i) {\n                    var angle = currentAngle(d, i);\n                    var rad = radius + axisConfig.labelOffset;\n                    var orient = axisConfig.angularAxis.tickOrientation;\n                    if (orient == 'horizontal') return 'rotate(' + -angle + ' ' + rad + ' 0)'; else if (orient == 'radial') return angle < 270 && angle > 90 ? 'rotate(180 ' + rad + ' 0)' : null; else return 'rotate(' + (angle <= 180 && angle > 0 ? -90 : 90) + ' ' + rad + ' 0)';\n                }\n            }).style({\n                'text-anchor': 'middle',\n                display: axisConfig.angularAxis.labelsVisible ? 'block' : 'none'\n            }).text(function(d, i) {\n                if (i % (axisConfig.minorTicks + 1) != 0) return '';\n                if (ticks) {\n                    return ticks[d] + axisConfig.angularAxis.ticksSuffix;\n                } else return d + axisConfig.angularAxis.ticksSuffix;\n            }).style(fontStyle);\n            if (axisConfig.angularAxis.rewriteTicks) ticksText.text(function(d, i) {\n                if (i % (axisConfig.minorTicks + 1) != 0) return '';\n                return axisConfig.angularAxis.rewriteTicks(this.textContent, i);\n            });\n            var rightmostTickEndX = d3.max(chartGroup.selectAll('.angular-tick text')[0].map(function(d, i) {\n                return d.getCTM().e + d.getBBox().width;\n            }));\n            legendContainer.attr({\n                transform: 'translate(' + [ radius + rightmostTickEndX, axisConfig.margin.top ] + ')'\n            });\n            var hasGeometry = svg.select('g.geometry-group').selectAll('g').size() > 0;\n            var geometryContainer = svg.select('g.geometry-group').selectAll('g.geometry').data(data);\n            geometryContainer.enter().append('g').attr({\n                'class': function(d, i) {\n                    return 'geometry geometry' + i;\n                }\n            });\n            geometryContainer.exit().remove();\n            if (data[0] || hasGeometry) {\n                var geometryConfigs = [];\n                data.forEach(function(d, i) {\n                    var geometryConfig = {};\n                    geometryConfig.radialScale = radialScale;\n                    geometryConfig.angularScale = angularScale;\n                    geometryConfig.container = geometryContainer.filter(function(dB, iB) {\n                        return iB == i;\n                    });\n                    geometryConfig.geometry = d.geometry;\n                    geometryConfig.orientation = axisConfig.orientation;\n                    geometryConfig.direction = axisConfig.direction;\n                    geometryConfig.index = i;\n                    geometryConfigs.push({\n                        data: d,\n                        geometryConfig: geometryConfig\n                    });\n                });\n                var geometryConfigsGrouped = d3.nest().key(function(d, i) {\n                    return typeof d.data.groupId != 'undefined' || 'unstacked';\n                }).entries(geometryConfigs);\n                var geometryConfigsGrouped2 = [];\n                geometryConfigsGrouped.forEach(function(d, i) {\n                    if (d.key === 'unstacked') geometryConfigsGrouped2 = geometryConfigsGrouped2.concat(d.values.map(function(d, i) {\n                        return [ d ];\n                    })); else geometryConfigsGrouped2.push(d.values);\n                });\n                geometryConfigsGrouped2.forEach(function(d, i) {\n                    var geometry;\n                    if (Array.isArray(d)) geometry = d[0].geometryConfig.geometry; else geometry = d.geometryConfig.geometry;\n                    var finalGeometryConfig = d.map(function(dB, iB) {\n                        return extendDeepAll(µ[geometry].defaultConfig(), dB);\n                    });\n                    µ[geometry]().config(finalGeometryConfig)();\n                });\n            }\n            var guides = svg.select('.guides-group');\n            var tooltipContainer = svg.select('.tooltips-group');\n            var angularTooltip = µ.tooltipPanel().config({\n                container: tooltipContainer,\n                fontSize: 8\n            })();\n            var radialTooltip = µ.tooltipPanel().config({\n                container: tooltipContainer,\n                fontSize: 8\n            })();\n            var geometryTooltip = µ.tooltipPanel().config({\n                container: tooltipContainer,\n                hasTick: true\n            })();\n            var angularValue, radialValue;\n            if (!isOrdinal) {\n                var angularGuideLine = guides.select('line').attr({\n                    x1: 0,\n                    y1: 0,\n                    y2: 0\n                }).style({\n                    stroke: 'grey',\n                    'pointer-events': 'none'\n                });\n                chartGroup.on('mousemove.angular-guide', function(d, i) {\n                    var mouseAngle = µ.util.getMousePos(backgroundCircle).angle;\n                    angularGuideLine.attr({\n                        x2: -radius,\n                        transform: 'rotate(' + mouseAngle + ')'\n                    }).style({\n                        opacity: .5\n                    });\n                    var angleWithOriginOffset = (mouseAngle + 180 + 360 - axisConfig.orientation) % 360;\n                    angularValue = angularScale.invert(angleWithOriginOffset);\n                    var pos = µ.util.convertToCartesian(radius + 12, mouseAngle + 180);\n                    angularTooltip.text(µ.util.round(angularValue)).move([ pos[0] + chartCenter[0], pos[1] + chartCenter[1] ]);\n                }).on('mouseout.angular-guide', function(d, i) {\n                    guides.select('line').style({\n                        opacity: 0\n                    });\n                });\n            }\n            var angularGuideCircle = guides.select('circle').style({\n                stroke: 'grey',\n                fill: 'none'\n            });\n            chartGroup.on('mousemove.radial-guide', function(d, i) {\n                var r = µ.util.getMousePos(backgroundCircle).radius;\n                angularGuideCircle.attr({\n                    r: r\n                }).style({\n                    opacity: .5\n                });\n                radialValue = radialScale.invert(µ.util.getMousePos(backgroundCircle).radius);\n                var pos = µ.util.convertToCartesian(r, axisConfig.radialAxis.orientation);\n                radialTooltip.text(µ.util.round(radialValue)).move([ pos[0] + chartCenter[0], pos[1] + chartCenter[1] ]);\n            }).on('mouseout.radial-guide', function(d, i) {\n                angularGuideCircle.style({\n                    opacity: 0\n                });\n                geometryTooltip.hide();\n                angularTooltip.hide();\n                radialTooltip.hide();\n            });\n            svg.selectAll('.geometry-group .mark').on('mouseover.tooltip', function(d, i) {\n                var el = d3.select(this);\n                var color = this.style.fill;\n                var newColor = 'black';\n                var opacity = this.style.opacity || 1;\n                el.attr({\n                    'data-opacity': opacity\n                });\n                if (color && color !== 'none') {\n                    el.attr({\n                        'data-fill': color\n                    });\n                    newColor = d3.hsl(color).darker().toString();\n                    el.style({\n                        fill: newColor,\n                        opacity: 1\n                    });\n                    var textData = {\n                        t: µ.util.round(d[0]),\n                        r: µ.util.round(d[1])\n                    };\n                    if (isOrdinal) textData.t = ticks[d[0]];\n                    var text = 't: ' + textData.t + ', r: ' + textData.r;\n                    var bbox = this.getBoundingClientRect();\n                    var svgBBox = svg.node().getBoundingClientRect();\n                    var pos = [ bbox.left + bbox.width / 2 - centeringOffset[0] - svgBBox.left, bbox.top + bbox.height / 2 - centeringOffset[1] - svgBBox.top ];\n                    geometryTooltip.config({\n                        color: newColor\n                    }).text(text);\n                    geometryTooltip.move(pos);\n                } else {\n                    color = this.style.stroke || 'black';\n                    el.attr({\n                        'data-stroke': color\n                    });\n                    newColor = d3.hsl(color).darker().toString();\n                    el.style({\n                        stroke: newColor,\n                        opacity: 1\n                    });\n                }\n            }).on('mousemove.tooltip', function(d, i) {\n                if (d3.event.which != 0) return false;\n                if (d3.select(this).attr('data-fill')) geometryTooltip.show();\n            }).on('mouseout.tooltip', function(d, i) {\n                geometryTooltip.hide();\n                var el = d3.select(this);\n                var fillColor = el.attr('data-fill');\n                if (fillColor) el.style({\n                    fill: fillColor,\n                    opacity: el.attr('data-opacity')\n                }); else el.style({\n                    stroke: el.attr('data-stroke'),\n                    opacity: el.attr('data-opacity')\n                });\n            });\n        });\n        return exports;\n    }\n    exports.render = function(_container) {\n        render(_container);\n        return this;\n    };\n    exports.config = function(_x) {\n        if (!arguments.length) return config;\n        var xClone = µ.util.cloneJson(_x);\n        xClone.data.forEach(function(d, i) {\n            if (!config.data[i]) config.data[i] = {};\n            extendDeepAll(config.data[i], µ.Axis.defaultConfig().data[0]);\n            extendDeepAll(config.data[i], d);\n        });\n        extendDeepAll(config.layout, µ.Axis.defaultConfig().layout);\n        extendDeepAll(config.layout, xClone.layout);\n        return this;\n    };\n    exports.getLiveConfig = function() {\n        return liveConfig;\n    };\n    exports.getinputConfig = function() {\n        return inputConfig;\n    };\n    exports.radialScale = function(_x) {\n        return radialScale;\n    };\n    exports.angularScale = function(_x) {\n        return angularScale;\n    };\n    exports.svg = function() {\n        return svg;\n    };\n    d3.rebind(exports, dispatch, 'on');\n    return exports;\n};\n\nµ.Axis.defaultConfig = function(d, i) {\n    var config = {\n        data: [ {\n            t: [ 1, 2, 3, 4 ],\n            r: [ 10, 11, 12, 13 ],\n            name: 'Line1',\n            geometry: 'LinePlot',\n            color: null,\n            strokeDash: 'solid',\n            strokeColor: null,\n            strokeSize: '1',\n            visibleInLegend: true,\n            opacity: 1\n        } ],\n        layout: {\n            defaultColorRange: d3.scale.category10().range(),\n            title: null,\n            height: 450,\n            width: 500,\n            margin: {\n                top: 40,\n                right: 40,\n                bottom: 40,\n                left: 40\n            },\n            font: {\n                size: 12,\n                color: 'gray',\n                outlineColor: 'white',\n                family: 'Tahoma, sans-serif'\n            },\n            direction: 'clockwise',\n            orientation: 0,\n            labelOffset: 10,\n            radialAxis: {\n                domain: null,\n                orientation: -45,\n                ticksSuffix: '',\n                visible: true,\n                gridLinesVisible: true,\n                tickOrientation: 'horizontal',\n                rewriteTicks: null\n            },\n            angularAxis: {\n                domain: [ 0, 360 ],\n                ticksSuffix: '',\n                visible: true,\n                gridLinesVisible: true,\n                labelsVisible: true,\n                tickOrientation: 'horizontal',\n                rewriteTicks: null,\n                ticksCount: null,\n                ticksStep: null\n            },\n            minorTicks: 0,\n            tickLength: null,\n            tickColor: 'silver',\n            minorTickColor: '#eee',\n            backgroundColor: 'none',\n            needsEndSpacing: null,\n            showLegend: true,\n            legend: {\n                reverseOrder: false\n            },\n            opacity: 1\n        }\n    };\n    return config;\n};\n\nµ.util = {};\n\nµ.DATAEXTENT = 'dataExtent';\n\nµ.AREA = 'AreaChart';\n\nµ.LINE = 'LinePlot';\n\nµ.DOT = 'DotPlot';\n\nµ.BAR = 'BarChart';\n\nµ.util._override = function(_objA, _objB) {\n    for (var x in _objA) if (x in _objB) _objB[x] = _objA[x];\n};\n\nµ.util._extend = function(_objA, _objB) {\n    for (var x in _objA) _objB[x] = _objA[x];\n};\n\nµ.util._rndSnd = function() {\n    return Math.random() * 2 - 1 + (Math.random() * 2 - 1) + (Math.random() * 2 - 1);\n};\n\nµ.util.dataFromEquation2 = function(_equation, _step) {\n    var step = _step || 6;\n    var data = d3.range(0, 360 + step, step).map(function(deg, index) {\n        var theta = deg * Math.PI / 180;\n        var radius = _equation(theta);\n        return [ deg, radius ];\n    });\n    return data;\n};\n\nµ.util.dataFromEquation = function(_equation, _step, _name) {\n    var step = _step || 6;\n    var t = [], r = [];\n    d3.range(0, 360 + step, step).forEach(function(deg, index) {\n        var theta = deg * Math.PI / 180;\n        var radius = _equation(theta);\n        t.push(deg);\n        r.push(radius);\n    });\n    var result = {\n        t: t,\n        r: r\n    };\n    if (_name) result.name = _name;\n    return result;\n};\n\nµ.util.ensureArray = function(_val, _count) {\n    if (typeof _val === 'undefined') return null;\n    var arr = [].concat(_val);\n    return d3.range(_count).map(function(d, i) {\n        return arr[i] || arr[0];\n    });\n};\n\nµ.util.fillArrays = function(_obj, _valueNames, _count) {\n    _valueNames.forEach(function(d, i) {\n        _obj[d] = µ.util.ensureArray(_obj[d], _count);\n    });\n    return _obj;\n};\n\nµ.util.cloneJson = function(json) {\n    return JSON.parse(JSON.stringify(json));\n};\n\nµ.util.validateKeys = function(obj, keys) {\n    if (typeof keys === 'string') keys = keys.split('.');\n    var next = keys.shift();\n    return obj[next] && (!keys.length || objHasKeys(obj[next], keys));\n};\n\nµ.util.sumArrays = function(a, b) {\n    return d3.zip(a, b).map(function(d, i) {\n        return d3.sum(d);\n    });\n};\n\nµ.util.arrayLast = function(a) {\n    return a[a.length - 1];\n};\n\nµ.util.arrayEqual = function(a, b) {\n    var i = Math.max(a.length, b.length, 1);\n    while (i-- >= 0 && a[i] === b[i]) ;\n    return i === -2;\n};\n\nµ.util.flattenArray = function(arr) {\n    var r = [];\n    while (!µ.util.arrayEqual(r, arr)) {\n        r = arr;\n        arr = [].concat.apply([], arr);\n    }\n    return arr;\n};\n\nµ.util.deduplicate = function(arr) {\n    return arr.filter(function(v, i, a) {\n        return a.indexOf(v) == i;\n    });\n};\n\nµ.util.convertToCartesian = function(radius, theta) {\n    var thetaRadians = theta * Math.PI / 180;\n    var x = radius * Math.cos(thetaRadians);\n    var y = radius * Math.sin(thetaRadians);\n    return [ x, y ];\n};\n\nµ.util.round = function(_value, _digits) {\n    var digits = _digits || 2;\n    var mult = Math.pow(10, digits);\n    return Math.round(_value * mult) / mult;\n};\n\nµ.util.getMousePos = function(_referenceElement) {\n    var mousePos = d3.mouse(_referenceElement.node());\n    var mouseX = mousePos[0];\n    var mouseY = mousePos[1];\n    var mouse = {};\n    mouse.x = mouseX;\n    mouse.y = mouseY;\n    mouse.pos = mousePos;\n    mouse.angle = (Math.atan2(mouseY, mouseX) + Math.PI) * 180 / Math.PI;\n    mouse.radius = Math.sqrt(mouseX * mouseX + mouseY * mouseY);\n    return mouse;\n};\n\nµ.util.duplicatesCount = function(arr) {\n    var uniques = {}, val;\n    var dups = {};\n    for (var i = 0, len = arr.length; i < len; i++) {\n        val = arr[i];\n        if (val in uniques) {\n            uniques[val]++;\n            dups[val] = uniques[val];\n        } else {\n            uniques[val] = 1;\n        }\n    }\n    return dups;\n};\n\nµ.util.duplicates = function(arr) {\n    return Object.keys(µ.util.duplicatesCount(arr));\n};\n\nµ.util.translator = function(obj, sourceBranch, targetBranch, reverse) {\n    if (reverse) {\n        var targetBranchCopy = targetBranch.slice();\n        targetBranch = sourceBranch;\n        sourceBranch = targetBranchCopy;\n    }\n    var value = sourceBranch.reduce(function(previousValue, currentValue) {\n        if (typeof previousValue != 'undefined') return previousValue[currentValue];\n    }, obj);\n    if (typeof value === 'undefined') return;\n    sourceBranch.reduce(function(previousValue, currentValue, index) {\n        if (typeof previousValue == 'undefined') return;\n        if (index === sourceBranch.length - 1) delete previousValue[currentValue];\n        return previousValue[currentValue];\n    }, obj);\n    targetBranch.reduce(function(previousValue, currentValue, index) {\n        if (typeof previousValue[currentValue] === 'undefined') previousValue[currentValue] = {};\n        if (index === targetBranch.length - 1) previousValue[currentValue] = value;\n        return previousValue[currentValue];\n    }, obj);\n};\n\nµ.PolyChart = function module() {\n    var config = [ µ.PolyChart.defaultConfig() ];\n    var dispatch = d3.dispatch('hover');\n    var dashArray = {\n        solid: 'none',\n        dash: [ 5, 2 ],\n        dot: [ 2, 5 ]\n    };\n    var colorScale;\n    function exports() {\n        var geometryConfig = config[0].geometryConfig;\n        var container = geometryConfig.container;\n        if (typeof container == 'string') container = d3.select(container);\n        container.datum(config).each(function(_config, _index) {\n            var isStack = !!_config[0].data.yStack;\n            var data = _config.map(function(d, i) {\n                if (isStack) return d3.zip(d.data.t[0], d.data.r[0], d.data.yStack[0]); else return d3.zip(d.data.t[0], d.data.r[0]);\n            });\n            var angularScale = geometryConfig.angularScale;\n            var domainMin = geometryConfig.radialScale.domain()[0];\n            var generator = {};\n            generator.bar = function(d, i, pI) {\n                var dataConfig = _config[pI].data;\n                var h = geometryConfig.radialScale(d[1]) - geometryConfig.radialScale(0);\n                var stackTop = geometryConfig.radialScale(d[2] || 0);\n                var w = dataConfig.barWidth;\n                d3.select(this).attr({\n                    'class': 'mark bar',\n                    d: 'M' + [ [ h + stackTop, -w / 2 ], [ h + stackTop, w / 2 ], [ stackTop, w / 2 ], [ stackTop, -w / 2 ] ].join('L') + 'Z',\n                    transform: function(d, i) {\n                        return 'rotate(' + (geometryConfig.orientation + angularScale(d[0])) + ')';\n                    }\n                });\n            };\n            generator.dot = function(d, i, pI) {\n                var stackedData = d[2] ? [ d[0], d[1] + d[2] ] : d;\n                var symbol = d3.svg.symbol().size(_config[pI].data.dotSize).type(_config[pI].data.dotType)(d, i);\n                d3.select(this).attr({\n                    'class': 'mark dot',\n                    d: symbol,\n                    transform: function(d, i) {\n                        var coord = convertToCartesian(getPolarCoordinates(stackedData));\n                        return 'translate(' + [ coord.x, coord.y ] + ')';\n                    }\n                });\n            };\n            var line = d3.svg.line.radial().interpolate(_config[0].data.lineInterpolation).radius(function(d) {\n                return geometryConfig.radialScale(d[1]);\n            }).angle(function(d) {\n                return geometryConfig.angularScale(d[0]) * Math.PI / 180;\n            });\n            generator.line = function(d, i, pI) {\n                var lineData = d[2] ? data[pI].map(function(d, i) {\n                    return [ d[0], d[1] + d[2] ];\n                }) : data[pI];\n                d3.select(this).each(generator['dot']).style({\n                    opacity: function(dB, iB) {\n                        return +_config[pI].data.dotVisible;\n                    },\n                    fill: markStyle.stroke(d, i, pI)\n                }).attr({\n                    'class': 'mark dot'\n                });\n                if (i > 0) return;\n                var lineSelection = d3.select(this.parentNode).selectAll('path.line').data([ 0 ]);\n                lineSelection.enter().insert('path');\n                lineSelection.attr({\n                    'class': 'line',\n                    d: line(lineData),\n                    transform: function(dB, iB) {\n                        return 'rotate(' + (geometryConfig.orientation + 90) + ')';\n                    },\n                    'pointer-events': 'none'\n                }).style({\n                    fill: function(dB, iB) {\n                        return markStyle.fill(d, i, pI);\n                    },\n                    'fill-opacity': 0,\n                    stroke: function(dB, iB) {\n                        return markStyle.stroke(d, i, pI);\n                    },\n                    'stroke-width': function(dB, iB) {\n                        return markStyle['stroke-width'](d, i, pI);\n                    },\n                    'stroke-dasharray': function(dB, iB) {\n                        return markStyle['stroke-dasharray'](d, i, pI);\n                    },\n                    opacity: function(dB, iB) {\n                        return markStyle.opacity(d, i, pI);\n                    },\n                    display: function(dB, iB) {\n                        return markStyle.display(d, i, pI);\n                    }\n                });\n            };\n            var angularRange = geometryConfig.angularScale.range();\n            var triangleAngle = Math.abs(angularRange[1] - angularRange[0]) / data[0].length * Math.PI / 180;\n            var arc = d3.svg.arc().startAngle(function(d) {\n                return -triangleAngle / 2;\n            }).endAngle(function(d) {\n                return triangleAngle / 2;\n            }).innerRadius(function(d) {\n                return geometryConfig.radialScale(domainMin + (d[2] || 0));\n            }).outerRadius(function(d) {\n                return geometryConfig.radialScale(domainMin + (d[2] || 0)) + geometryConfig.radialScale(d[1]);\n            });\n            generator.arc = function(d, i, pI) {\n                d3.select(this).attr({\n                    'class': 'mark arc',\n                    d: arc,\n                    transform: function(d, i) {\n                        return 'rotate(' + (geometryConfig.orientation + angularScale(d[0]) + 90) + ')';\n                    }\n                });\n            };\n            var markStyle = {\n                fill: function(d, i, pI) {\n                    return _config[pI].data.color;\n                },\n                stroke: function(d, i, pI) {\n                    return _config[pI].data.strokeColor;\n                },\n                'stroke-width': function(d, i, pI) {\n                    return _config[pI].data.strokeSize + 'px';\n                },\n                'stroke-dasharray': function(d, i, pI) {\n                    return dashArray[_config[pI].data.strokeDash];\n                },\n                opacity: function(d, i, pI) {\n                    return _config[pI].data.opacity;\n                },\n                display: function(d, i, pI) {\n                    return typeof _config[pI].data.visible === 'undefined' || _config[pI].data.visible ? 'block' : 'none';\n                }\n            };\n            var geometryLayer = d3.select(this).selectAll('g.layer').data(data);\n            geometryLayer.enter().append('g').attr({\n                'class': 'layer'\n            });\n            var geometry = geometryLayer.selectAll('path.mark').data(function(d, i) {\n                return d;\n            });\n            geometry.enter().append('path').attr({\n                'class': 'mark'\n            });\n            geometry.style(markStyle).each(generator[geometryConfig.geometryType]);\n            geometry.exit().remove();\n            geometryLayer.exit().remove();\n            function getPolarCoordinates(d, i) {\n                var r = geometryConfig.radialScale(d[1]);\n                var t = (geometryConfig.angularScale(d[0]) + geometryConfig.orientation) * Math.PI / 180;\n                return {\n                    r: r,\n                    t: t\n                };\n            }\n            function convertToCartesian(polarCoordinates) {\n                var x = polarCoordinates.r * Math.cos(polarCoordinates.t);\n                var y = polarCoordinates.r * Math.sin(polarCoordinates.t);\n                return {\n                    x: x,\n                    y: y\n                };\n            }\n        });\n    }\n    exports.config = function(_x) {\n        if (!arguments.length) return config;\n        _x.forEach(function(d, i) {\n            if (!config[i]) config[i] = {};\n            extendDeepAll(config[i], µ.PolyChart.defaultConfig());\n            extendDeepAll(config[i], d);\n        });\n        return this;\n    };\n    exports.getColorScale = function() {\n        return colorScale;\n    };\n    d3.rebind(exports, dispatch, 'on');\n    return exports;\n};\n\nµ.PolyChart.defaultConfig = function() {\n    var config = {\n        data: {\n            name: 'geom1',\n            t: [ [ 1, 2, 3, 4 ] ],\n            r: [ [ 1, 2, 3, 4 ] ],\n            dotType: 'circle',\n            dotSize: 64,\n            dotVisible: false,\n            barWidth: 20,\n            color: '#ffa500',\n            strokeSize: 1,\n            strokeColor: 'silver',\n            strokeDash: 'solid',\n            opacity: 1,\n            index: 0,\n            visible: true,\n            visibleInLegend: true\n        },\n        geometryConfig: {\n            geometry: 'LinePlot',\n            geometryType: 'arc',\n            direction: 'clockwise',\n            orientation: 0,\n            container: 'body',\n            radialScale: null,\n            angularScale: null,\n            colorScale: d3.scale.category20()\n        }\n    };\n    return config;\n};\n\nµ.BarChart = function module() {\n    return µ.PolyChart();\n};\n\nµ.BarChart.defaultConfig = function() {\n    var config = {\n        geometryConfig: {\n            geometryType: 'bar'\n        }\n    };\n    return config;\n};\n\nµ.AreaChart = function module() {\n    return µ.PolyChart();\n};\n\nµ.AreaChart.defaultConfig = function() {\n    var config = {\n        geometryConfig: {\n            geometryType: 'arc'\n        }\n    };\n    return config;\n};\n\nµ.DotPlot = function module() {\n    return µ.PolyChart();\n};\n\nµ.DotPlot.defaultConfig = function() {\n    var config = {\n        geometryConfig: {\n            geometryType: 'dot',\n            dotType: 'circle'\n        }\n    };\n    return config;\n};\n\nµ.LinePlot = function module() {\n    return µ.PolyChart();\n};\n\nµ.LinePlot.defaultConfig = function() {\n    var config = {\n        geometryConfig: {\n            geometryType: 'line'\n        }\n    };\n    return config;\n};\n\nµ.Legend = function module() {\n    var config = µ.Legend.defaultConfig();\n    var dispatch = d3.dispatch('hover');\n    function exports() {\n        var legendConfig = config.legendConfig;\n        var flattenData = config.data.map(function(d, i) {\n            return [].concat(d).map(function(dB, iB) {\n                var element = extendDeepAll({}, legendConfig.elements[i]);\n                element.name = dB;\n                element.color = [].concat(legendConfig.elements[i].color)[iB];\n                return element;\n            });\n        });\n        var data = d3.merge(flattenData);\n        data = data.filter(function(d, i) {\n            return legendConfig.elements[i] && (legendConfig.elements[i].visibleInLegend || typeof legendConfig.elements[i].visibleInLegend === 'undefined');\n        });\n        if (legendConfig.reverseOrder) data = data.reverse();\n        var container = legendConfig.container;\n        if (typeof container == 'string' || container.nodeName) container = d3.select(container);\n        var colors = data.map(function(d, i) {\n            return d.color;\n        });\n        var lineHeight = legendConfig.fontSize;\n        var isContinuous = legendConfig.isContinuous == null ? typeof data[0] === 'number' : legendConfig.isContinuous;\n        var height = isContinuous ? legendConfig.height : lineHeight * data.length;\n        var legendContainerGroup = container.classed('legend-group', true);\n        var svg = legendContainerGroup.selectAll('svg').data([ 0 ]);\n        var svgEnter = svg.enter().append('svg').attr({\n            width: 300,\n            height: height + lineHeight,\n            xmlns: 'http://www.w3.org/2000/svg',\n            'xmlns:xlink': 'http://www.w3.org/1999/xlink',\n            version: '1.1'\n        });\n        svgEnter.append('g').classed('legend-axis', true);\n        svgEnter.append('g').classed('legend-marks', true);\n        var dataNumbered = d3.range(data.length);\n        var colorScale = d3.scale[isContinuous ? 'linear' : 'ordinal']().domain(dataNumbered).range(colors);\n        var dataScale = d3.scale[isContinuous ? 'linear' : 'ordinal']().domain(dataNumbered)[isContinuous ? 'range' : 'rangePoints']([ 0, height ]);\n        var shapeGenerator = function(_type, _size) {\n            var squareSize = _size * 3;\n            if (_type === 'line') {\n                return 'M' + [ [ -_size / 2, -_size / 12 ], [ _size / 2, -_size / 12 ], [ _size / 2, _size / 12 ], [ -_size / 2, _size / 12 ] ] + 'Z';\n            } else if (d3.svg.symbolTypes.indexOf(_type) != -1) return d3.svg.symbol().type(_type).size(squareSize)(); else return d3.svg.symbol().type('square').size(squareSize)();\n        };\n        if (isContinuous) {\n            var gradient = svg.select('.legend-marks').append('defs').append('linearGradient').attr({\n                id: 'grad1',\n                x1: '0%',\n                y1: '0%',\n                x2: '0%',\n                y2: '100%'\n            }).selectAll('stop').data(colors);\n            gradient.enter().append('stop');\n            gradient.attr({\n                offset: function(d, i) {\n                    return i / (colors.length - 1) * 100 + '%';\n                }\n            }).style({\n                'stop-color': function(d, i) {\n                    return d;\n                }\n            });\n            svg.append('rect').classed('legend-mark', true).attr({\n                height: legendConfig.height,\n                width: legendConfig.colorBandWidth,\n                fill: 'url(#grad1)'\n            });\n        } else {\n            var legendElement = svg.select('.legend-marks').selectAll('path.legend-mark').data(data);\n            legendElement.enter().append('path').classed('legend-mark', true);\n            legendElement.attr({\n                transform: function(d, i) {\n                    return 'translate(' + [ lineHeight / 2, dataScale(i) + lineHeight / 2 ] + ')';\n                },\n                d: function(d, i) {\n                    var symbolType = d.symbol;\n                    return shapeGenerator(symbolType, lineHeight);\n                },\n                fill: function(d, i) {\n                    return colorScale(i);\n                }\n            });\n            legendElement.exit().remove();\n        }\n        var legendAxis = d3.svg.axis().scale(dataScale).orient('right');\n        var axis = svg.select('g.legend-axis').attr({\n            transform: 'translate(' + [ isContinuous ? legendConfig.colorBandWidth : lineHeight, lineHeight / 2 ] + ')'\n        }).call(legendAxis);\n        axis.selectAll('.domain').style({\n            fill: 'none',\n            stroke: 'none'\n        });\n        axis.selectAll('line').style({\n            fill: 'none',\n            stroke: isContinuous ? legendConfig.textColor : 'none'\n        });\n        axis.selectAll('text').style({\n            fill: legendConfig.textColor,\n            'font-size': legendConfig.fontSize\n        }).text(function(d, i) {\n            return data[i].name;\n        });\n        return exports;\n    }\n    exports.config = function(_x) {\n        if (!arguments.length) return config;\n        extendDeepAll(config, _x);\n        return this;\n    };\n    d3.rebind(exports, dispatch, 'on');\n    return exports;\n};\n\nµ.Legend.defaultConfig = function(d, i) {\n    var config = {\n        data: [ 'a', 'b', 'c' ],\n        legendConfig: {\n            elements: [ {\n                symbol: 'line',\n                color: 'red'\n            }, {\n                symbol: 'square',\n                color: 'yellow'\n            }, {\n                symbol: 'diamond',\n                color: 'limegreen'\n            } ],\n            height: 150,\n            colorBandWidth: 30,\n            fontSize: 12,\n            container: 'body',\n            isContinuous: null,\n            textColor: 'grey',\n            reverseOrder: false\n        }\n    };\n    return config;\n};\n\nµ.tooltipPanel = function() {\n    var tooltipEl, tooltipTextEl, backgroundEl;\n    var config = {\n        container: null,\n        hasTick: false,\n        fontSize: 12,\n        color: 'white',\n        padding: 5\n    };\n    var id = 'tooltip-' + µ.tooltipPanel.uid++;\n    var tickSize = 10;\n    var exports = function() {\n        tooltipEl = config.container.selectAll('g.' + id).data([ 0 ]);\n        var tooltipEnter = tooltipEl.enter().append('g').classed(id, true).style({\n            'pointer-events': 'none',\n            display: 'none'\n        });\n        backgroundEl = tooltipEnter.append('path').style({\n            fill: 'white',\n            'fill-opacity': .9\n        }).attr({\n            d: 'M0 0'\n        });\n        tooltipTextEl = tooltipEnter.append('text').attr({\n            dx: config.padding + tickSize,\n            dy: +config.fontSize * .3\n        });\n        return exports;\n    };\n    exports.text = function(_text) {\n        var l = d3.hsl(config.color).l;\n        var strokeColor = l >= .5 ? '#aaa' : 'white';\n        var fillColor = l >= .5 ? 'black' : 'white';\n        var text = _text || '';\n        tooltipTextEl.style({\n            fill: fillColor,\n            'font-size': config.fontSize + 'px'\n        }).text(text);\n        var padding = config.padding;\n        var bbox = tooltipTextEl.node().getBBox();\n        var boxStyle = {\n            fill: config.color,\n            stroke: strokeColor,\n            'stroke-width': '2px'\n        };\n        var backGroundW = bbox.width + padding * 2 + tickSize;\n        var backGroundH = bbox.height + padding * 2;\n        backgroundEl.attr({\n            d: 'M' + [ [ tickSize, -backGroundH / 2 ], [ tickSize, -backGroundH / 4 ], [ config.hasTick ? 0 : tickSize, 0 ], [ tickSize, backGroundH / 4 ], [ tickSize, backGroundH / 2 ], [ backGroundW, backGroundH / 2 ], [ backGroundW, -backGroundH / 2 ] ].join('L') + 'Z'\n        }).style(boxStyle);\n        tooltipEl.attr({\n            transform: 'translate(' + [ tickSize, -backGroundH / 2 + padding * 2 ] + ')'\n        });\n        tooltipEl.style({\n            display: 'block'\n        });\n        return exports;\n    };\n    exports.move = function(_pos) {\n        if (!tooltipEl) return;\n        tooltipEl.attr({\n            transform: 'translate(' + [ _pos[0], _pos[1] ] + ')'\n        }).style({\n            display: 'block'\n        });\n        return exports;\n    };\n    exports.hide = function() {\n        if (!tooltipEl) return;\n        tooltipEl.style({\n            display: 'none'\n        });\n        return exports;\n    };\n    exports.show = function() {\n        if (!tooltipEl) return;\n        tooltipEl.style({\n            display: 'block'\n        });\n        return exports;\n    };\n    exports.config = function(_x) {\n        extendDeepAll(config, _x);\n        return exports;\n    };\n    return exports;\n};\n\nµ.tooltipPanel.uid = 1;\n\nµ.adapter = {};\n\nµ.adapter.plotly = function module() {\n    var exports = {};\n    exports.convert = function(_inputConfig, reverse) {\n        var outputConfig = {};\n        if (_inputConfig.data) {\n            outputConfig.data = _inputConfig.data.map(function(d, i) {\n                var r = extendDeepAll({}, d);\n                var toTranslate = [\n                    [ r, [ 'marker', 'color' ], [ 'color' ] ],\n                    [ r, [ 'marker', 'opacity' ], [ 'opacity' ] ],\n                    [ r, [ 'marker', 'line', 'color' ], [ 'strokeColor' ] ],\n                    [ r, [ 'marker', 'line', 'dash' ], [ 'strokeDash' ] ],\n                    [ r, [ 'marker', 'line', 'width' ], [ 'strokeSize' ] ],\n                    [ r, [ 'marker', 'symbol' ], [ 'dotType' ] ],\n                    [ r, [ 'marker', 'size' ], [ 'dotSize' ] ],\n                    [ r, [ 'marker', 'barWidth' ], [ 'barWidth' ] ],\n                    [ r, [ 'line', 'interpolation' ], [ 'lineInterpolation' ] ],\n                    [ r, [ 'showlegend' ], [ 'visibleInLegend' ] ]\n                ];\n                toTranslate.forEach(function(d, i) {\n                    µ.util.translator.apply(null, d.concat(reverse));\n                });\n\n                if (!reverse) delete r.marker;\n                if (reverse) delete r.groupId;\n                if (!reverse) {\n                    if (r.type === 'scatter') {\n                        if (r.mode === 'lines') r.geometry = 'LinePlot'; else if (r.mode === 'markers') r.geometry = 'DotPlot'; else if (r.mode === 'lines+markers') {\n                            r.geometry = 'LinePlot';\n                            r.dotVisible = true;\n                        }\n                    } else if (r.type === 'area') r.geometry = 'AreaChart'; else if (r.type === 'bar') r.geometry = 'BarChart';\n                    delete r.mode;\n                    delete r.type;\n                } else {\n                    if (r.geometry === 'LinePlot') {\n                        r.type = 'scatter';\n                        if (r.dotVisible === true) {\n                            delete r.dotVisible;\n                            r.mode = 'lines+markers';\n                        } else r.mode = 'lines';\n                    } else if (r.geometry === 'DotPlot') {\n                        r.type = 'scatter';\n                        r.mode = 'markers';\n                    } else if (r.geometry === 'AreaChart') r.type = 'area'; else if (r.geometry === 'BarChart') r.type = 'bar';\n                    delete r.geometry;\n                }\n                return r;\n            });\n            if (!reverse && _inputConfig.layout && _inputConfig.layout.barmode === 'stack') {\n                var duplicates = µ.util.duplicates(outputConfig.data.map(function(d, i) {\n                    return d.geometry;\n                }));\n                outputConfig.data.forEach(function(d, i) {\n                    var idx = duplicates.indexOf(d.geometry);\n                    if (idx != -1) outputConfig.data[i].groupId = idx;\n                });\n            }\n        }\n        if (_inputConfig.layout) {\n            var r = extendDeepAll({}, _inputConfig.layout);\n            var toTranslate = [\n                [ r, [ 'plot_bgcolor' ], [ 'backgroundColor' ] ],\n                [ r, [ 'showlegend' ], [ 'showLegend' ] ],\n                [ r, [ 'radialaxis' ], [ 'radialAxis' ] ],\n                [ r, [ 'angularaxis' ], [ 'angularAxis' ] ],\n                [ r.angularaxis, [ 'showline' ], [ 'gridLinesVisible' ] ],\n                [ r.angularaxis, [ 'showticklabels' ], [ 'labelsVisible' ] ],\n                [ r.angularaxis, [ 'nticks' ], [ 'ticksCount' ] ],\n                [ r.angularaxis, [ 'tickorientation' ], [ 'tickOrientation' ] ],\n                [ r.angularaxis, [ 'ticksuffix' ], [ 'ticksSuffix' ] ],\n                [ r.angularaxis, [ 'range' ], [ 'domain' ] ],\n                [ r.angularaxis, [ 'endpadding' ], [ 'endPadding' ] ],\n                [ r.radialaxis, [ 'showline' ], [ 'gridLinesVisible' ] ],\n                [ r.radialaxis, [ 'tickorientation' ], [ 'tickOrientation' ] ],\n                [ r.radialaxis, [ 'ticksuffix' ], [ 'ticksSuffix' ] ],\n                [ r.radialaxis, [ 'range' ], [ 'domain' ] ],\n                [ r.angularAxis, [ 'showline' ], [ 'gridLinesVisible' ] ],\n                [ r.angularAxis, [ 'showticklabels' ], [ 'labelsVisible' ] ],\n                [ r.angularAxis, [ 'nticks' ], [ 'ticksCount' ] ],\n                [ r.angularAxis, [ 'tickorientation' ], [ 'tickOrientation' ] ],\n                [ r.angularAxis, [ 'ticksuffix' ], [ 'ticksSuffix' ] ],\n                [ r.angularAxis, [ 'range' ], [ 'domain' ] ],\n                [ r.angularAxis, [ 'endpadding' ], [ 'endPadding' ] ],\n                [ r.radialAxis, [ 'showline' ], [ 'gridLinesVisible' ] ],\n                [ r.radialAxis, [ 'tickorientation' ], [ 'tickOrientation' ] ],\n                [ r.radialAxis, [ 'ticksuffix' ], [ 'ticksSuffix' ] ],\n                [ r.radialAxis, [ 'range' ], [ 'domain' ] ],\n                [ r.font, [ 'outlinecolor' ], [ 'outlineColor' ] ],\n                [ r.legend, [ 'traceorder' ], [ 'reverseOrder' ] ],\n                [ r, [ 'labeloffset' ], [ 'labelOffset' ] ],\n                [ r, [ 'defaultcolorrange' ], [ 'defaultColorRange' ] ]\n            ];\n            toTranslate.forEach(function(d, i) {\n                µ.util.translator.apply(null, d.concat(reverse));\n            });\n\n            if (!reverse) {\n                if (r.angularAxis && typeof r.angularAxis.ticklen !== 'undefined') r.tickLength = r.angularAxis.ticklen;\n                if (r.angularAxis && typeof r.angularAxis.tickcolor !== 'undefined') r.tickColor = r.angularAxis.tickcolor;\n            } else {\n                if (typeof r.tickLength !== 'undefined') {\n                    r.angularaxis.ticklen = r.tickLength;\n                    delete r.tickLength;\n                }\n                if (r.tickColor) {\n                    r.angularaxis.tickcolor = r.tickColor;\n                    delete r.tickColor;\n                }\n            }\n            if (r.legend && typeof r.legend.reverseOrder != 'boolean') {\n                r.legend.reverseOrder = r.legend.reverseOrder != 'normal';\n            }\n            if (r.legend && typeof r.legend.traceorder == 'boolean') {\n                r.legend.traceorder = r.legend.traceorder ? 'reversed' : 'normal';\n                delete r.legend.reverseOrder;\n            }\n            if (r.margin && typeof r.margin.t != 'undefined') {\n                var source = [ 't', 'r', 'b', 'l', 'pad' ];\n                var target = [ 'top', 'right', 'bottom', 'left', 'pad' ];\n                var margin = {};\n                d3.entries(r.margin).forEach(function(dB, iB) {\n                    margin[target[source.indexOf(dB.key)]] = dB.value;\n                });\n                r.margin = margin;\n            }\n            if (reverse) {\n                delete r.needsEndSpacing;\n                delete r.minorTickColor;\n                delete r.minorTicks;\n                delete r.angularaxis.ticksCount;\n                delete r.angularaxis.ticksCount;\n                delete r.angularaxis.ticksStep;\n                delete r.angularaxis.rewriteTicks;\n                delete r.angularaxis.nticks;\n                delete r.radialaxis.ticksCount;\n                delete r.radialaxis.ticksCount;\n                delete r.radialaxis.ticksStep;\n                delete r.radialaxis.rewriteTicks;\n                delete r.radialaxis.nticks;\n            }\n            outputConfig.layout = r;\n        }\n        return outputConfig;\n    };\n    return exports;\n};\n\n},{\"../../../constants/alignment\":668,\"../../../lib\":696,\"d3\":148}],819:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n/* eslint-disable new-cap */\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Lib = _dereq_('../../../lib');\nvar Color = _dereq_('../../../components/color');\n\nvar micropolar = _dereq_('./micropolar');\nvar UndoManager = _dereq_('./undo_manager');\nvar extendDeepAll = Lib.extendDeepAll;\n\nvar manager = module.exports = {};\n\nmanager.framework = function(_gd) {\n    var config, previousConfigClone, plot, convertedInput, container;\n    var undoManager = new UndoManager();\n\n    function exports(_inputConfig, _container) {\n        if(_container) container = _container;\n        d3.select(d3.select(container).node().parentNode).selectAll('.svg-container>*:not(.chart-root)').remove();\n\n        config = (!config) ?\n            _inputConfig :\n            extendDeepAll(config, _inputConfig);\n\n        if(!plot) plot = micropolar.Axis();\n        convertedInput = micropolar.adapter.plotly().convert(config);\n        plot.config(convertedInput).render(container);\n        _gd.data = config.data;\n        _gd.layout = config.layout;\n        manager.fillLayout(_gd);\n        return config;\n    }\n    exports.isPolar = true;\n    exports.svg = function() { return plot.svg(); };\n    exports.getConfig = function() { return config; };\n    exports.getLiveConfig = function() {\n        return micropolar.adapter.plotly().convert(plot.getLiveConfig(), true);\n    };\n    exports.getLiveScales = function() { return {t: plot.angularScale(), r: plot.radialScale()}; };\n    exports.setUndoPoint = function() {\n        var that = this;\n        var configClone = micropolar.util.cloneJson(config);\n        (function(_configClone, _previousConfigClone) {\n            undoManager.add({\n                undo: function() {\n                    if(_previousConfigClone) that(_previousConfigClone);\n                },\n                redo: function() {\n                    that(_configClone);\n                }\n            });\n        })(configClone, previousConfigClone);\n        previousConfigClone = micropolar.util.cloneJson(configClone);\n    };\n    exports.undo = function() { undoManager.undo(); };\n    exports.redo = function() { undoManager.redo(); };\n    return exports;\n};\n\nmanager.fillLayout = function(_gd) {\n    var container = d3.select(_gd).selectAll('.plot-container'),\n        paperDiv = container.selectAll('.svg-container'),\n        paper = _gd.framework && _gd.framework.svg && _gd.framework.svg(),\n        dflts = {\n            width: 800,\n            height: 600,\n            paper_bgcolor: Color.background,\n            _container: container,\n            _paperdiv: paperDiv,\n            _paper: paper\n        };\n\n    _gd._fullLayout = extendDeepAll(dflts, _gd.layout);\n};\n\n},{\"../../../components/color\":570,\"../../../lib\":696,\"./micropolar\":818,\"./undo_manager\":820,\"d3\":148}],820:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n// Modified from https://github.com/ArthurClemens/Javascript-Undo-Manager\n// Copyright (c) 2010-2013 Arthur Clemens, arthur@visiblearea.com\nmodule.exports = function UndoManager() {\n    var undoCommands = [],\n        index = -1,\n        isExecuting = false,\n        callback;\n\n    function execute(command, action) {\n        if(!command) return this;\n\n        isExecuting = true;\n        command[action]();\n        isExecuting = false;\n\n        return this;\n    }\n\n    return {\n        add: function(command) {\n            if(isExecuting) return this;\n            undoCommands.splice(index + 1, undoCommands.length - index);\n            undoCommands.push(command);\n            index = undoCommands.length - 1;\n            return this;\n        },\n        setCallback: function(callbackFunc) { callback = callbackFunc; },\n        undo: function() {\n            var command = undoCommands[index];\n            if(!command) return this;\n            execute(command, 'undo');\n            index -= 1;\n            if(callback) callback(command.undo);\n            return this;\n        },\n        redo: function() {\n            var command = undoCommands[index + 1];\n            if(!command) return this;\n            execute(command, 'redo');\n            index += 1;\n            if(callback) callback(command.redo);\n            return this;\n        },\n        clear: function() {\n            undoCommands = [];\n            index = -1;\n        },\n        hasUndo: function() { return index !== -1; },\n        hasRedo: function() { return index < (undoCommands.length - 1); },\n        getCommands: function() { return undoCommands; },\n        getPreviousCommand: function() { return undoCommands[index - 1]; },\n        getIndex: function() { return index; }\n    };\n};\n\n},{}],821:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar tinycolor = _dereq_('tinycolor2');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\nvar Plots = _dereq_('../plots');\nvar setConvertCartesian = _dereq_('../cartesian/set_convert');\nvar setConvertPolar = _dereq_('./set_convert');\nvar doAutoRange = _dereq_('../cartesian/autorange').doAutoRange;\nvar doTicksSingle = _dereq_('../cartesian/axes').doTicksSingle;\nvar dragBox = _dereq_('../cartesian/dragbox');\nvar dragElement = _dereq_('../../components/dragelement');\nvar Fx = _dereq_('../../components/fx');\nvar Titles = _dereq_('../../components/titles');\nvar prepSelect = _dereq_('../cartesian/select').prepSelect;\nvar selectOnClick = _dereq_('../cartesian/select').selectOnClick;\nvar clearSelect = _dereq_('../cartesian/select').clearSelect;\nvar setCursor = _dereq_('../../lib/setcursor');\nvar clearGlCanvases = _dereq_('../../lib/clear_gl_canvases');\nvar redrawReglTraces = _dereq_('../../plot_api/subroutines').redrawReglTraces;\n\nvar MID_SHIFT = _dereq_('../../constants/alignment').MID_SHIFT;\nvar constants = _dereq_('./constants');\nvar helpers = _dereq_('./helpers');\n\nvar _ = Lib._;\nvar mod = Lib.mod;\nvar deg2rad = Lib.deg2rad;\nvar rad2deg = Lib.rad2deg;\n\nfunction Polar(gd, id) {\n    this.id = id;\n    this.gd = gd;\n\n    this._hasClipOnAxisFalse = null;\n    this.vangles = null;\n    this.radialAxisAngle = null;\n    this.traceHash = {};\n    this.layers = {};\n    this.clipPaths = {};\n    this.clipIds = {};\n    this.viewInitial = {};\n\n    var fullLayout = gd._fullLayout;\n    var clipIdBase = 'clip' + fullLayout._uid + id;\n\n    this.clipIds.forTraces = clipIdBase + '-for-traces';\n    this.clipPaths.forTraces = fullLayout._clips.append('clipPath')\n        .attr('id', this.clipIds.forTraces);\n    this.clipPaths.forTraces.append('path');\n\n    this.framework = fullLayout._polarlayer.append('g')\n        .attr('class', id);\n\n    // unfortunately, we have to keep track of some axis tick settings\n    // so that we don't have to call doTicksSingle with its special redraw flag\n    this.radialTickLayout = null;\n    this.angularTickLayout = null;\n}\n\nvar proto = Polar.prototype;\n\nmodule.exports = function createPolar(gd, id) {\n    return new Polar(gd, id);\n};\n\nproto.plot = function(polarCalcData, fullLayout) {\n    var _this = this;\n    var polarLayout = fullLayout[_this.id];\n\n    _this._hasClipOnAxisFalse = false;\n    for(var i = 0; i < polarCalcData.length; i++) {\n        var trace = polarCalcData[i][0].trace;\n        if(trace.cliponaxis === false) {\n            _this._hasClipOnAxisFalse = true;\n            break;\n        }\n    }\n\n    _this.updateLayers(fullLayout, polarLayout);\n    _this.updateLayout(fullLayout, polarLayout);\n    Plots.generalUpdatePerTraceModule(_this.gd, _this, polarCalcData, polarLayout);\n    _this.updateFx(fullLayout, polarLayout);\n};\n\nproto.updateLayers = function(fullLayout, polarLayout) {\n    var _this = this;\n    var layers = _this.layers;\n    var radialLayout = polarLayout.radialaxis;\n    var angularLayout = polarLayout.angularaxis;\n    var layerNames = constants.layerNames;\n\n    var frontPlotIndex = layerNames.indexOf('frontplot');\n    var layerData = layerNames.slice(0, frontPlotIndex);\n    var isAngularAxisBelowTraces = angularLayout.layer === 'below traces';\n    var isRadialAxisBelowTraces = radialLayout.layer === 'below traces';\n\n    if(isAngularAxisBelowTraces) layerData.push('angular-line');\n    if(isRadialAxisBelowTraces) layerData.push('radial-line');\n    if(isAngularAxisBelowTraces) layerData.push('angular-axis');\n    if(isRadialAxisBelowTraces) layerData.push('radial-axis');\n\n    layerData.push('frontplot');\n\n    if(!isAngularAxisBelowTraces) layerData.push('angular-line');\n    if(!isRadialAxisBelowTraces) layerData.push('radial-line');\n    if(!isAngularAxisBelowTraces) layerData.push('angular-axis');\n    if(!isRadialAxisBelowTraces) layerData.push('radial-axis');\n\n    var join = _this.framework.selectAll('.polarsublayer')\n        .data(layerData, String);\n\n    join.enter().append('g')\n        .attr('class', function(d) { return 'polarsublayer ' + d;})\n        .each(function(d) {\n            var sel = layers[d] = d3.select(this);\n\n            switch(d) {\n                case 'frontplot':\n                    // TODO add option to place in 'backplot' layer??\n                    sel.append('g').classed('barlayer', true);\n                    sel.append('g').classed('scatterlayer', true);\n                    break;\n                case 'backplot':\n                    sel.append('g').classed('maplayer', true);\n                    break;\n                case 'plotbg':\n                    layers.bg = sel.append('path');\n                    break;\n                case 'radial-grid':\n                    sel.style('fill', 'none');\n                    sel.append('g').classed('x', 1);\n                    break;\n                case 'angular-grid':\n                    sel.style('fill', 'none');\n                    sel.append('g').classed('angularaxis', 1);\n                    break;\n                case 'radial-line':\n                    sel.append('line').style('fill', 'none');\n                    break;\n                case 'angular-line':\n                    sel.append('path').style('fill', 'none');\n                    break;\n            }\n        });\n\n    join.order();\n};\n\n/* Polar subplots juggle with 6 'axis objects' (!), these are:\n *\n * - polarLayout.radialaxis (aka radialLayout in this file):\n * - polarLayout.angularaxis (aka angularLayout in this file):\n *   used for data -> calcdata conversions (aka d2c) during the calc step\n *\n * - this.radialAxis\n *   extends polarLayout.radialaxis, adds mocked 'domain' and\n *   few other keys in order to reuse Cartesian doAutoRange and doTicksSingle,\n *   used for calcdata -> geometric conversions (aka c2g) during the plot step\n *   + setGeometry setups ax.c2g for given ax.range\n *   + setScale setups ax._m,ax._b for given ax.range\n *\n * - this.angularAxis\n *   extends polarLayout.angularaxis, adds mocked 'range' and 'domain' and\n *   a few other keys in order to reuse Cartesian doTicksSingle,\n *   used for calcdata -> geometric conversions (aka c2g) during the plot step\n *   + setGeometry setups ax.c2g given ax.rotation, ax.direction & ax._categories,\n *                 and mocks ax.range\n *   + setScale setups ax._m,ax._b with that mocked ax.range\n *\n * - this.xaxis\n * - this.yaxis\n *   setup so that polar traces can reuse plot methods of Cartesian traces\n *   which mostly rely on 2pixel methods (e.g ax.c2p)\n */\nproto.updateLayout = function(fullLayout, polarLayout) {\n    var _this = this;\n    var layers = _this.layers;\n    var gs = fullLayout._size;\n\n    // axis attributes\n    var radialLayout = polarLayout.radialaxis;\n    var angularLayout = polarLayout.angularaxis;\n    // layout domains\n    var xDomain = polarLayout.domain.x;\n    var yDomain = polarLayout.domain.y;\n    // offsets from paper edge to layout domain box\n    _this.xOffset = gs.l + gs.w * xDomain[0];\n    _this.yOffset = gs.t + gs.h * (1 - yDomain[1]);\n    // lengths of the layout domain box\n    var xLength = _this.xLength = gs.w * (xDomain[1] - xDomain[0]);\n    var yLength = _this.yLength = gs.h * (yDomain[1] - yDomain[0]);\n    // sector to plot\n    var sector = polarLayout.sector;\n    _this.sectorInRad = sector.map(deg2rad);\n    var sectorBBox = _this.sectorBBox = computeSectorBBox(sector);\n    var dxSectorBBox = sectorBBox[2] - sectorBBox[0];\n    var dySectorBBox = sectorBBox[3] - sectorBBox[1];\n    // aspect ratios\n    var arDomain = yLength / xLength;\n    var arSector = Math.abs(dySectorBBox / dxSectorBBox);\n    // actual lengths and domains of subplot box\n    var xLength2, yLength2;\n    var xDomain2, yDomain2;\n    var gap;\n    if(arDomain > arSector) {\n        xLength2 = xLength;\n        yLength2 = xLength * arSector;\n        gap = (yLength - yLength2) / gs.h / 2;\n        xDomain2 = [xDomain[0], xDomain[1]];\n        yDomain2 = [yDomain[0] + gap, yDomain[1] - gap];\n    } else {\n        xLength2 = yLength / arSector;\n        yLength2 = yLength;\n        gap = (xLength - xLength2) / gs.w / 2;\n        xDomain2 = [xDomain[0] + gap, xDomain[1] - gap];\n        yDomain2 = [yDomain[0], yDomain[1]];\n    }\n    _this.xLength2 = xLength2;\n    _this.yLength2 = yLength2;\n    _this.xDomain2 = xDomain2;\n    _this.yDomain2 = yDomain2;\n    // actual offsets from paper edge to the subplot box top-left corner\n    var xOffset2 = _this.xOffset2 = gs.l + gs.w * xDomain2[0];\n    var yOffset2 = _this.yOffset2 = gs.t + gs.h * (1 - yDomain2[1]);\n    // circle radius in px\n    var radius = _this.radius = xLength2 / dxSectorBBox;\n    // 'inner' radius in px (when polar.hole is set)\n    var innerRadius = _this.innerRadius = polarLayout.hole * radius;\n    // circle center position in px\n    var cx = _this.cx = xOffset2 - radius * sectorBBox[0];\n    var cy = _this.cy = yOffset2 + radius * sectorBBox[3];\n    // circle center in the coordinate system of plot area\n    var cxx = _this.cxx = cx - xOffset2;\n    var cyy = _this.cyy = cy - yOffset2;\n\n    _this.radialAxis = _this.mockAxis(fullLayout, polarLayout, radialLayout, {\n        _axislayer: layers['radial-axis'],\n        _gridlayer: layers['radial-grid'],\n        // make this an 'x' axis to make positioning (especially rotation) easier\n        _id: 'x',\n        // convert to 'x' axis equivalent\n        side: {\n            counterclockwise: 'top',\n            clockwise: 'bottom'\n        }[radialLayout.side],\n        // spans length 1 radius\n        domain: [innerRadius / gs.w, radius / gs.w]\n    });\n\n    _this.angularAxis = _this.mockAxis(fullLayout, polarLayout, angularLayout, {\n        _axislayer: layers['angular-axis'],\n        _gridlayer: layers['angular-grid'],\n        side: 'right',\n        // to get auto nticks right\n        domain: [0, Math.PI],\n        // don't pass through autorange logic\n        autorange: false\n    });\n\n    _this.doAutoRange(fullLayout, polarLayout);\n    // N.B. this sets _this.vangles\n    _this.updateAngularAxis(fullLayout, polarLayout);\n    // N.B. this sets _this.radialAxisAngle\n    _this.updateRadialAxis(fullLayout, polarLayout);\n    _this.updateRadialAxisTitle(fullLayout, polarLayout);\n\n    _this.xaxis = _this.mockCartesianAxis(fullLayout, polarLayout, {\n        _id: 'x',\n        domain: xDomain2\n    });\n\n    _this.yaxis = _this.mockCartesianAxis(fullLayout, polarLayout, {\n        _id: 'y',\n        domain: yDomain2\n    });\n\n    var dPath = _this.pathSubplot();\n\n    _this.clipPaths.forTraces.select('path')\n        .attr('d', dPath)\n        .attr('transform', strTranslate(cxx, cyy));\n\n    layers.frontplot\n        .attr('transform', strTranslate(xOffset2, yOffset2))\n        .call(Drawing.setClipUrl, _this._hasClipOnAxisFalse ? null : _this.clipIds.forTraces);\n\n    layers.bg\n        .attr('d', dPath)\n        .attr('transform', strTranslate(cx, cy))\n        .call(Color.fill, polarLayout.bgcolor);\n\n    // remove crispEdges - all the off-square angles in polar plots\n    // make these counterproductive.\n    _this.framework.selectAll('.crisp').classed('crisp', 0);\n};\n\nproto.mockAxis = function(fullLayout, polarLayout, axLayout, opts) {\n    var commonOpts = {\n        // to get _boundingBox computation right when showticklabels is false\n        anchor: 'free',\n        position: 0,\n        _pos: 0,\n        // dummy truthy value to make doTicksSingle draw the grid\n        _counteraxis: true,\n        // don't use automargins routine for labels\n        automargin: false\n    };\n\n    var ax = Lib.extendFlat(commonOpts, axLayout, opts);\n    setConvertPolar(ax, polarLayout, fullLayout);\n    return ax;\n};\n\nproto.mockCartesianAxis = function(fullLayout, polarLayout, opts) {\n    var _this = this;\n    var axId = opts._id;\n\n    var ax = Lib.extendFlat({type: 'linear'}, opts);\n    setConvertCartesian(ax, fullLayout);\n\n    var bboxIndices = {\n        x: [0, 2],\n        y: [1, 3]\n    };\n\n    ax.setRange = function() {\n        var sectorBBox = _this.sectorBBox;\n        var ind = bboxIndices[axId];\n        var rl = _this.radialAxis._rl;\n        var drl = (rl[1] - rl[0]) / (1 - polarLayout.hole);\n        ax.range = [sectorBBox[ind[0]] * drl, sectorBBox[ind[1]] * drl];\n    };\n\n    ax.isPtWithinRange = axId === 'x' ?\n        function(d) { return _this.isPtInside(d); } :\n        function() { return true; };\n\n    ax.setRange();\n    ax.setScale();\n    return ax;\n};\n\nproto.doAutoRange = function(fullLayout, polarLayout) {\n    var gd = this.gd;\n    var radialAxis = this.radialAxis;\n    var radialLayout = polarLayout.radialaxis;\n\n    radialAxis.setScale();\n    doAutoRange(gd, radialAxis);\n\n    var rng = radialAxis.range;\n    radialLayout.range = rng.slice();\n    radialLayout._input.range = rng.slice();\n\n    radialAxis._rl = [\n        radialAxis.r2l(rng[0], null, 'gregorian'),\n        radialAxis.r2l(rng[1], null, 'gregorian')\n    ];\n};\n\nproto.updateRadialAxis = function(fullLayout, polarLayout) {\n    var _this = this;\n    var gd = _this.gd;\n    var layers = _this.layers;\n    var radius = _this.radius;\n    var innerRadius = _this.innerRadius;\n    var cx = _this.cx;\n    var cy = _this.cy;\n    var radialLayout = polarLayout.radialaxis;\n    var a0 = mod(polarLayout.sector[0], 360);\n    var ax = _this.radialAxis;\n    var hasRoomForIt = innerRadius < radius;\n\n    _this.fillViewInitialKey('radialaxis.angle', radialLayout.angle);\n    _this.fillViewInitialKey('radialaxis.range', ax.range.slice());\n\n    ax.setGeometry();\n\n    // rotate auto tick labels by 180 if in quadrant II and III to make them\n    // readable from left-to-right\n    //\n    // TODO try moving deeper in doTicksSingle for better results?\n    if(ax.tickangle === 'auto' && (a0 > 90 && a0 <= 270)) {\n        ax.tickangle = 180;\n    }\n\n    // easier to set rotate angle with custom translate function\n    ax._transfn = function(d) {\n        return 'translate(' + (ax.l2p(d.x) + innerRadius) + ',0)';\n    };\n\n    // set special grid path function\n    ax._gridpath = function(d) {\n        return _this.pathArc(ax.r2p(d.x) + innerRadius);\n    };\n\n    var newTickLayout = strTickLayout(radialLayout);\n    if(_this.radialTickLayout !== newTickLayout) {\n        layers['radial-axis'].selectAll('.xtick').remove();\n        _this.radialTickLayout = newTickLayout;\n    }\n\n    if(hasRoomForIt) {\n        ax.setScale();\n        doTicksSingle(gd, ax, true);\n    }\n\n    // stash 'actual' radial axis angle for drag handlers (in degrees)\n    var angle = _this.radialAxisAngle = _this.vangles ?\n        rad2deg(snapToVertexAngle(deg2rad(radialLayout.angle), _this.vangles)) :\n        radialLayout.angle;\n\n    var trans = strTranslate(cx, cy) + strRotate(-angle);\n\n    updateElement(\n        layers['radial-axis'],\n        hasRoomForIt && (radialLayout.showticklabels || radialLayout.ticks),\n        {transform: trans}\n    );\n\n    // move all grid paths to about circle center,\n    // undo individual grid lines translations\n    updateElement(\n        layers['radial-grid'],\n        hasRoomForIt && radialLayout.showgrid,\n        {transform: strTranslate(cx, cy)}\n    ).selectAll('path').attr('transform', null);\n\n    updateElement(\n        layers['radial-line'].select('line'),\n        hasRoomForIt && radialLayout.showline,\n        {\n            x1: innerRadius,\n            y1: 0,\n            x2: radius,\n            y2: 0,\n            transform: trans\n        }\n    )\n    .attr('stroke-width', radialLayout.linewidth)\n    .call(Color.stroke, radialLayout.linecolor);\n};\n\nproto.updateRadialAxisTitle = function(fullLayout, polarLayout, _angle) {\n    var _this = this;\n    var gd = _this.gd;\n    var radius = _this.radius;\n    var cx = _this.cx;\n    var cy = _this.cy;\n    var radialLayout = polarLayout.radialaxis;\n    var titleClass = _this.id + 'title';\n\n    var angle = _angle !== undefined ? _angle : _this.radialAxisAngle;\n    var angleRad = deg2rad(angle);\n    var cosa = Math.cos(angleRad);\n    var sina = Math.sin(angleRad);\n\n    var pad = 0;\n    if(radialLayout.title) {\n        var h = Drawing.bBox(_this.layers['radial-axis'].node()).height;\n        var ts = radialLayout.titlefont.size;\n        pad = radialLayout.side === 'counterclockwise' ?\n            -h - ts * 0.4 :\n            h + ts * 0.8;\n    }\n\n    _this.layers['radial-axis-title'] = Titles.draw(gd, titleClass, {\n        propContainer: radialLayout,\n        propName: _this.id + '.radialaxis.title',\n        placeholder: _(gd, 'Click to enter radial axis title'),\n        attributes: {\n            x: cx + (radius / 2) * cosa + pad * sina,\n            y: cy - (radius / 2) * sina + pad * cosa,\n            'text-anchor': 'middle'\n        },\n        transform: {rotate: -angle}\n    });\n};\n\nproto.updateAngularAxis = function(fullLayout, polarLayout) {\n    var _this = this;\n    var gd = _this.gd;\n    var layers = _this.layers;\n    var radius = _this.radius;\n    var innerRadius = _this.innerRadius;\n    var cx = _this.cx;\n    var cy = _this.cy;\n    var angularLayout = polarLayout.angularaxis;\n    var ax = _this.angularAxis;\n\n    _this.fillViewInitialKey('angularaxis.rotation', angularLayout.rotation);\n\n    ax.setGeometry();\n\n    // 't'ick to 'g'eometric radians is used all over the place here\n    var t2g = function(d) { return ax.t2g(d.x); };\n\n    // run rad2deg on tick0 and ditck for thetaunit: 'radians' axes\n    if(ax.type === 'linear' && ax.thetaunit === 'radians') {\n        ax.tick0 = rad2deg(ax.tick0);\n        ax.dtick = rad2deg(ax.dtick);\n    }\n\n    // Use tickval filter for category axes instead of tweaking\n    // the range w.r.t sector, so that sectors that cross 360 can\n    // show all their ticks.\n    if(ax.type === 'category') {\n        ax._tickFilter = function(d) {\n            return Lib.isAngleInsideSector(t2g(d), _this.sectorInRad);\n        };\n    }\n\n    ax._transfn = function(d) {\n        var sel = d3.select(this);\n        var hasElement = sel && sel.node();\n\n        // don't translate grid lines\n        if(hasElement && sel.classed('angularaxisgrid')) return '';\n\n        var rad = t2g(d);\n        var out = strTranslate(cx + radius * Math.cos(rad), cy - radius * Math.sin(rad));\n\n        // must also rotate ticks, but don't rotate labels\n        if(hasElement && sel.classed('ticks')) {\n            out += strRotate(-rad2deg(rad));\n        }\n\n        return out;\n    };\n\n    ax._gridpath = function(d) {\n        var rad = t2g(d);\n        var cosRad = Math.cos(rad);\n        var sinRad = Math.sin(rad);\n        return 'M' + [cx + innerRadius * cosRad, cy - innerRadius * sinRad] +\n            'L' + [cx + radius * cosRad, cy - radius * sinRad];\n    };\n\n    var offset4fontsize = (angularLayout.ticks !== 'outside' ? 0.7 : 0.5);\n\n    ax._labelx = function(d) {\n        var rad = t2g(d);\n        var labelStandoff = ax._labelStandoff;\n        var pad = ax._pad;\n\n        var offset4tx = signSin(rad) === 0 ?\n            0 :\n            Math.cos(rad) * (labelStandoff + pad + offset4fontsize * d.fontSize);\n        var offset4tick = signCos(rad) * (d.dx + labelStandoff + pad);\n\n        return offset4tx + offset4tick;\n    };\n\n    ax._labely = function(d) {\n        var rad = t2g(d);\n        var labelStandoff = ax._labelStandoff;\n        var labelShift = ax._labelShift;\n        var pad = ax._pad;\n\n        var offset4tx = d.dy + d.fontSize * MID_SHIFT - labelShift;\n        var offset4tick = -Math.sin(rad) * (labelStandoff + pad + offset4fontsize * d.fontSize);\n\n        return offset4tx + offset4tick;\n    };\n\n    ax._labelanchor = function(angle, d) {\n        var rad = t2g(d);\n        return signSin(rad) === 0 ?\n            (signCos(rad) > 0 ? 'start' : 'end') :\n            'middle';\n    };\n\n    var newTickLayout = strTickLayout(angularLayout);\n    if(_this.angularTickLayout !== newTickLayout) {\n        layers['angular-axis'].selectAll('.' + ax._id + 'tick').remove();\n        _this.angularTickLayout = newTickLayout;\n    }\n\n    ax.setScale();\n    doTicksSingle(gd, ax, true);\n\n    // angle of polygon vertices in geometric radians (null means circles)\n    // TODO what to do when ax.period > ax._categories ??\n    var vangles;\n    if(polarLayout.gridshape === 'linear') {\n        vangles = ax._vals.map(t2g);\n\n        // ax._vals should be always ordered, make them\n        // always turn counterclockwise for convenience here\n        if(Lib.angleDelta(vangles[0], vangles[1]) < 0) {\n            vangles = vangles.slice().reverse();\n        }\n    } else {\n        vangles = null;\n    }\n    _this.vangles = vangles;\n\n    // TODO maybe two arcs is better here?\n    // maybe split style attributes between inner and outer angular axes?\n\n    updateElement(layers['angular-line'].select('path'), angularLayout.showline, {\n        d: _this.pathSubplot(),\n        transform: strTranslate(cx, cy)\n    })\n    .attr('stroke-width', angularLayout.linewidth)\n    .call(Color.stroke, angularLayout.linecolor);\n};\n\nproto.updateFx = function(fullLayout, polarLayout) {\n    if(!this.gd._context.staticPlot) {\n        this.updateAngularDrag(fullLayout);\n        this.updateRadialDrag(fullLayout, polarLayout, 0);\n        this.updateRadialDrag(fullLayout, polarLayout, 1);\n        this.updateMainDrag(fullLayout);\n    }\n};\n\nproto.updateMainDrag = function(fullLayout) {\n    var _this = this;\n    var gd = _this.gd;\n    var layers = _this.layers;\n    var zoomlayer = fullLayout._zoomlayer;\n    var MINZOOM = constants.MINZOOM;\n    var OFFEDGE = constants.OFFEDGE;\n    var radius = _this.radius;\n    var innerRadius = _this.innerRadius;\n    var cx = _this.cx;\n    var cy = _this.cy;\n    var cxx = _this.cxx;\n    var cyy = _this.cyy;\n    var sectorInRad = _this.sectorInRad;\n    var vangles = _this.vangles;\n    var radialAxis = _this.radialAxis;\n    var clampTiny = helpers.clampTiny;\n    var findXYatLength = helpers.findXYatLength;\n    var findEnclosingVertexAngles = helpers.findEnclosingVertexAngles;\n    var chw = constants.cornerHalfWidth;\n    var chl = constants.cornerLen / 2;\n\n    var mainDrag = dragBox.makeDragger(layers, 'path', 'maindrag', 'crosshair');\n\n    d3.select(mainDrag)\n        .attr('d', _this.pathSubplot())\n        .attr('transform', strTranslate(cx, cy));\n\n    var dragOpts = {\n        element: mainDrag,\n        gd: gd,\n        subplot: _this.id,\n        plotinfo: {\n            id: _this.id,\n            xaxis: _this.xaxis,\n            yaxis: _this.yaxis\n        },\n        xaxes: [_this.xaxis],\n        yaxes: [_this.yaxis]\n    };\n\n    // mouse px position at drag start (0), move (1)\n    var x0, y0;\n    // radial distance from circle center at drag start (0), move (1)\n    var r0, r1;\n    // zoombox persistent quantities\n    var path0, dimmed, lum;\n    // zoombox, corners elements\n    var zb, corners;\n\n    function norm(x, y) {\n        return Math.sqrt(x * x + y * y);\n    }\n\n    function xy2r(x, y) {\n        return norm(x - cxx, y - cyy);\n    }\n\n    function xy2a(x, y) {\n        return Math.atan2(cyy - y, x - cxx);\n    }\n\n    function ra2xy(r, a) {\n        return [r * Math.cos(a), r * Math.sin(-a)];\n    }\n\n    function pathCorner(r, a) {\n        if(r === 0) return _this.pathSector(2 * chw);\n\n        var da = chl / r;\n        var am = a - da;\n        var ap = a + da;\n        var rb = Math.max(0, Math.min(r, radius));\n        var rm = rb - chw;\n        var rp = rb + chw;\n\n        return 'M' + ra2xy(rm, am) +\n            'A' + [rm, rm] + ' 0,0,0 ' + ra2xy(rm, ap) +\n            'L' + ra2xy(rp, ap) +\n            'A' + [rp, rp] + ' 0,0,1 ' + ra2xy(rp, am) +\n            'Z';\n    }\n\n    // (x,y) is the pt at middle of the va0 <-> va1 edge\n    //\n    // ... we could eventually add another mode for cursor\n    // angles 'close to' enough to a particular vertex.\n    function pathCornerForPolygons(r, va0, va1) {\n        if(r === 0) return _this.pathSector(2 * chw);\n\n        var xy0 = ra2xy(r, va0);\n        var xy1 = ra2xy(r, va1);\n        var x = clampTiny((xy0[0] + xy1[0]) / 2);\n        var y = clampTiny((xy0[1] + xy1[1]) / 2);\n        var innerPts, outerPts;\n\n        if(x && y) {\n            var m = y / x;\n            var mperp = -1 / m;\n            var midPts = findXYatLength(chw, m, x, y);\n            innerPts = findXYatLength(chl, mperp, midPts[0][0], midPts[0][1]);\n            outerPts = findXYatLength(chl, mperp, midPts[1][0], midPts[1][1]);\n        } else {\n            var dx, dy;\n            if(y) {\n                // horizontal handles\n                dx = chl;\n                dy = chw;\n            } else {\n                // vertical handles\n                dx = chw;\n                dy = chl;\n            }\n            innerPts = [[x - dx, y - dy], [x + dx, y - dy]];\n            outerPts = [[x - dx, y + dy], [x + dx, y + dy]];\n        }\n\n        return 'M' + innerPts.join('L') +\n            'L' + outerPts.reverse().join('L') + 'Z';\n    }\n\n    function zoomPrep() {\n        r0 = null;\n        r1 = null;\n        path0 = _this.pathSubplot();\n        dimmed = false;\n\n        var polarLayoutNow = gd._fullLayout[_this.id];\n        lum = tinycolor(polarLayoutNow.bgcolor).getLuminance();\n\n        zb = dragBox.makeZoombox(zoomlayer, lum, cx, cy, path0);\n        zb.attr('fill-rule', 'evenodd');\n        corners = dragBox.makeCorners(zoomlayer, cx, cy);\n        clearSelect(zoomlayer);\n    }\n\n    // N.B. this sets scoped 'r0' and 'r1'\n    // return true if 'valid' zoom distance, false otherwise\n    function clampAndSetR0R1(rr0, rr1) {\n        rr1 = Math.max(Math.min(rr1, radius), innerRadius);\n\n        // starting or ending drag near center (outer edge),\n        // clamps radial distance at origin (at r=radius)\n        if(rr0 < OFFEDGE) rr0 = 0;\n        else if((radius - rr0) < OFFEDGE) rr0 = radius;\n        else if(rr1 < OFFEDGE) rr1 = 0;\n        else if((radius - rr1) < OFFEDGE) rr1 = radius;\n\n        // make sure r0 < r1,\n        // to get correct fill pattern in path1 below\n        if(Math.abs(rr1 - rr0) > MINZOOM) {\n            if(rr0 < rr1) {\n                r0 = rr0;\n                r1 = rr1;\n            } else {\n                r0 = rr1;\n                r1 = rr0;\n            }\n            return true;\n        } else {\n            r0 = null;\n            r1 = null;\n            return false;\n        }\n    }\n\n    function applyZoomMove(path1, cpath) {\n        path1 = path1 || path0;\n        cpath = cpath || 'M0,0Z';\n\n        zb.attr('d', path1);\n        corners.attr('d', cpath);\n        dragBox.transitionZoombox(zb, corners, dimmed, lum);\n        dimmed = true;\n    }\n\n    function zoomMove(dx, dy) {\n        var x1 = x0 + dx;\n        var y1 = y0 + dy;\n        var rr0 = xy2r(x0, y0);\n        var rr1 = Math.min(xy2r(x1, y1), radius);\n        var a0 = xy2a(x0, y0);\n        var path1;\n        var cpath;\n\n        if(clampAndSetR0R1(rr0, rr1)) {\n            path1 = path0 + _this.pathSector(r1);\n            if(r0) path1 += _this.pathSector(r0);\n            // keep 'starting' angle\n            cpath = pathCorner(r0, a0) + pathCorner(r1, a0);\n        }\n        applyZoomMove(path1, cpath);\n    }\n\n    function findPolygonRadius(x, y, va0, va1) {\n        var xy = helpers.findIntersectionXY(va0, va1, va0, [x - cxx, cyy - y]);\n        return norm(xy[0], xy[1]);\n    }\n\n    function zoomMoveForPolygons(dx, dy) {\n        var x1 = x0 + dx;\n        var y1 = y0 + dy;\n        var a0 = xy2a(x0, y0);\n        var a1 = xy2a(x1, y1);\n        var vangles0 = findEnclosingVertexAngles(a0, vangles);\n        var vangles1 = findEnclosingVertexAngles(a1, vangles);\n        var rr0 = findPolygonRadius(x0, y0, vangles0[0], vangles0[1]);\n        var rr1 = Math.min(findPolygonRadius(x1, y1, vangles1[0], vangles1[1]), radius);\n        var path1;\n        var cpath;\n\n        if(clampAndSetR0R1(rr0, rr1)) {\n            path1 = path0 + _this.pathSector(r1);\n            if(r0) path1 += _this.pathSector(r0);\n            // keep 'starting' angle here too\n            cpath = [\n                pathCornerForPolygons(r0, vangles0[0], vangles0[1]),\n                pathCornerForPolygons(r1, vangles0[0], vangles0[1])\n            ].join(' ');\n        }\n        applyZoomMove(path1, cpath);\n    }\n\n    function zoomDone() {\n        dragBox.removeZoombox(gd);\n\n        if(r0 === null || r1 === null) return;\n\n        dragBox.showDoubleClickNotifier(gd);\n\n        var rl = radialAxis._rl;\n        var m = (rl[1] - rl[0]) / (1 - innerRadius / radius) / radius;\n        var newRng = [\n            rl[0] + (r0 - innerRadius) * m,\n            rl[0] + (r1 - innerRadius) * m\n        ];\n        Registry.call('relayout', gd, _this.id + '.radialaxis.range', newRng);\n    }\n\n    function zoomClick(numClicks, evt) {\n        var clickMode = gd._fullLayout.clickmode;\n\n        dragBox.removeZoombox(gd);\n\n        // TODO double once vs twice logic (autorange vs fixed range)\n        if(numClicks === 2) {\n            var updateObj = {};\n            for(var k in _this.viewInitial) {\n                updateObj[_this.id + '.' + k] = _this.viewInitial[k];\n            }\n\n            gd.emit('plotly_doubleclick', null);\n            Registry.call('relayout', gd, updateObj);\n        }\n\n        if(clickMode.indexOf('select') > -1 && numClicks === 1) {\n            selectOnClick(evt, gd, [_this.xaxis], [_this.yaxis], _this.id, dragOpts);\n        }\n\n        if(clickMode.indexOf('event') > -1) {\n            Fx.click(gd, evt, _this.id);\n        }\n    }\n\n    dragOpts.prepFn = function(evt, startX, startY) {\n        var dragModeNow = gd._fullLayout.dragmode;\n\n        var bbox = mainDrag.getBoundingClientRect();\n        x0 = startX - bbox.left;\n        y0 = startY - bbox.top;\n\n        // need to offset x/y as bbox center does not\n        // match origin for asymmetric polygons\n        if(vangles) {\n            var offset = helpers.findPolygonOffset(radius, sectorInRad[0], sectorInRad[1], vangles);\n            x0 += cxx + offset[0];\n            y0 += cyy + offset[1];\n        }\n\n        switch(dragModeNow) {\n            case 'zoom':\n                if(vangles) {\n                    dragOpts.moveFn = zoomMoveForPolygons;\n                } else {\n                    dragOpts.moveFn = zoomMove;\n                }\n                dragOpts.clickFn = zoomClick;\n                dragOpts.doneFn = zoomDone;\n                zoomPrep(evt, startX, startY);\n                break;\n            case 'select':\n            case 'lasso':\n                prepSelect(evt, startX, startY, dragOpts, dragModeNow);\n                break;\n        }\n    };\n\n    mainDrag.onmousemove = function(evt) {\n        Fx.hover(gd, evt, _this.id);\n        gd._fullLayout._lasthover = mainDrag;\n        gd._fullLayout._hoversubplot = _this.id;\n    };\n\n    mainDrag.onmouseout = function(evt) {\n        if(gd._dragging) return;\n        dragElement.unhover(gd, evt);\n    };\n\n    dragElement.init(dragOpts);\n};\n\nproto.updateRadialDrag = function(fullLayout, polarLayout, rngIndex) {\n    var _this = this;\n    var gd = _this.gd;\n    var layers = _this.layers;\n    var radius = _this.radius;\n    var innerRadius = _this.innerRadius;\n    var cx = _this.cx;\n    var cy = _this.cy;\n    var radialAxis = _this.radialAxis;\n    var bl = constants.radialDragBoxSize;\n    var bl2 = bl / 2;\n\n    if(!radialAxis.visible) return;\n\n    var angle0 = deg2rad(_this.radialAxisAngle);\n    var rl = radialAxis._rl;\n    var rl0 = rl[0];\n    var rl1 = rl[1];\n    var rbase = rl[rngIndex];\n    var m = 0.75 * (rl[1] - rl[0]) / (1 - polarLayout.hole) / radius;\n\n    var tx, ty, className;\n    if(rngIndex) {\n        tx = cx + (radius + bl2) * Math.cos(angle0);\n        ty = cy - (radius + bl2) * Math.sin(angle0);\n        className = 'radialdrag';\n    } else {\n        // the 'inner' box can get called:\n        // - when polar.hole>0\n        // - when polar.sector isn't a full circle\n        // otherwise it is hidden behind the main drag.\n        tx = cx + (innerRadius - bl2) * Math.cos(angle0);\n        ty = cy - (innerRadius - bl2) * Math.sin(angle0);\n        className = 'radialdrag-inner';\n    }\n\n    var radialDrag = dragBox.makeRectDragger(layers, className, 'crosshair', -bl2, -bl2, bl, bl);\n    var dragOpts = {element: radialDrag, gd: gd};\n\n    updateElement(d3.select(radialDrag), radialAxis.visible && innerRadius < radius, {\n        transform: strTranslate(tx, ty)\n    });\n\n    // move function (either rotate or re-range flavor)\n    var moveFn2;\n    // rotate angle on done\n    var angle1;\n    // re-range range[1] (or range[0]) on done\n    var rprime;\n\n    function moveFn(dx, dy) {\n        if(moveFn2) {\n            moveFn2(dx, dy);\n        } else {\n            var dvec = [dx, -dy];\n            var rvec = [Math.cos(angle0), Math.sin(angle0)];\n            var comp = Math.abs(Lib.dot(dvec, rvec) / Math.sqrt(Lib.dot(dvec, dvec)));\n\n            // mostly perpendicular motions rotate,\n            // mostly parallel motions re-range\n            if(!isNaN(comp)) {\n                moveFn2 = comp < 0.5 ? rotateMove : rerangeMove;\n            }\n        }\n    }\n\n    function doneFn() {\n        if(angle1 !== null) {\n            Registry.call('relayout', gd, _this.id + '.radialaxis.angle', angle1);\n        } else if(rprime !== null) {\n            Registry.call('relayout', gd, _this.id + '.radialaxis.range[' + rngIndex + ']', rprime);\n        }\n    }\n\n    function rotateMove(dx, dy) {\n        // disable for inner drag boxes\n        if(rngIndex === 0) return;\n\n        var x1 = tx + dx;\n        var y1 = ty + dy;\n\n        angle1 = Math.atan2(cy - y1, x1 - cx);\n        if(_this.vangles) angle1 = snapToVertexAngle(angle1, _this.vangles);\n        angle1 = rad2deg(angle1);\n\n        var transform = strTranslate(cx, cy) + strRotate(-angle1);\n        layers['radial-axis'].attr('transform', transform);\n        layers['radial-line'].select('line').attr('transform', transform);\n\n        var fullLayoutNow = _this.gd._fullLayout;\n        var polarLayoutNow = fullLayoutNow[_this.id];\n        _this.updateRadialAxisTitle(fullLayoutNow, polarLayoutNow, angle1);\n    }\n\n    function rerangeMove(dx, dy) {\n        // project (dx, dy) unto unit radial axis vector\n        var dr = Lib.dot([dx, -dy], [Math.cos(angle0), Math.sin(angle0)]);\n        rprime = rbase - m * dr;\n\n        // make sure rprime does not change the range[0] -> range[1] sign\n        if((m > 0) !== (rngIndex ? rprime > rl0 : rprime < rl1)) {\n            rprime = null;\n            return;\n        }\n\n        // update radial range -> update c2g -> update _m,_b\n        radialAxis.range[rngIndex] = rprime;\n        radialAxis._rl[rngIndex] = rprime;\n        radialAxis.setGeometry();\n        radialAxis.setScale();\n\n        _this.xaxis.setRange();\n        _this.xaxis.setScale();\n        _this.yaxis.setRange();\n        _this.yaxis.setScale();\n\n        doTicksSingle(gd, radialAxis, true);\n        layers['radial-grid']\n            .attr('transform', strTranslate(cx, cy))\n            .selectAll('path').attr('transform', null);\n\n        var hasRegl = false;\n\n        for(var traceType in _this.traceHash) {\n            var moduleCalcData = _this.traceHash[traceType];\n            var moduleCalcDataVisible = Lib.filterVisible(moduleCalcData);\n            var _module = moduleCalcData[0][0].trace._module;\n            var polarLayoutNow = gd._fullLayout[_this.id];\n            _module.plot(gd, _this, moduleCalcDataVisible, polarLayoutNow);\n            if(Registry.traceIs(traceType, 'gl') && moduleCalcDataVisible.length) hasRegl = true;\n        }\n\n        if(hasRegl) {\n            clearGlCanvases(gd);\n            redrawReglTraces(gd);\n        }\n    }\n\n    dragOpts.prepFn = function() {\n        moveFn2 = null;\n        angle1 = null;\n        rprime = null;\n\n        dragOpts.moveFn = moveFn;\n        dragOpts.doneFn = doneFn;\n\n        clearSelect(fullLayout._zoomlayer);\n    };\n\n    dragOpts.clampFn = function(dx, dy) {\n        if(Math.sqrt(dx * dx + dy * dy) < constants.MINDRAG) {\n            dx = 0;\n            dy = 0;\n        }\n        return [dx, dy];\n    };\n\n    dragElement.init(dragOpts);\n};\n\nproto.updateAngularDrag = function(fullLayout) {\n    var _this = this;\n    var gd = _this.gd;\n    var layers = _this.layers;\n    var radius = _this.radius;\n    var angularAxis = _this.angularAxis;\n    var cx = _this.cx;\n    var cy = _this.cy;\n    var cxx = _this.cxx;\n    var cyy = _this.cyy;\n    var dbs = constants.angularDragBoxSize;\n\n    var angularDrag = dragBox.makeDragger(layers, 'path', 'angulardrag', 'move');\n    var dragOpts = {element: angularDrag, gd: gd};\n\n    d3.select(angularDrag)\n        .attr('d', _this.pathAnnulus(radius, radius + dbs))\n        .attr('transform', strTranslate(cx, cy))\n        .call(setCursor, 'move');\n\n    function xy2a(x, y) {\n        return Math.atan2(cyy + dbs - y, x - cxx - dbs);\n    }\n\n    // scatter trace, points and textpoints selections\n    var scatterTraces = layers.frontplot.select('.scatterlayer').selectAll('.trace');\n    var scatterPoints = scatterTraces.selectAll('.point');\n    var scatterTextPoints = scatterTraces.selectAll('.textpoint');\n\n    // mouse px position at drag start (0), move (1)\n    var x0, y0;\n    // angular axis angle rotation at drag start (0), move (1)\n    var rot0, rot1;\n    // induced radial axis rotation (only used on polygon grids)\n    var rrot1;\n    // angle about circle center at drag start\n    var a0;\n\n    function moveFn(dx, dy) {\n        var fullLayoutNow = _this.gd._fullLayout;\n        var polarLayoutNow = fullLayoutNow[_this.id];\n        var x1 = x0 + dx;\n        var y1 = y0 + dy;\n        var a1 = xy2a(x1, y1);\n        var da = rad2deg(a1 - a0);\n        rot1 = rot0 + da;\n\n        layers.frontplot.attr('transform',\n            strTranslate(_this.xOffset2, _this.yOffset2) + strRotate([-da, cxx, cyy])\n        );\n\n        if(_this.vangles) {\n            rrot1 = _this.radialAxisAngle + da;\n\n            var trans = strTranslate(cx, cy) + strRotate(-da);\n            var trans2 = strTranslate(cx, cy) + strRotate(-rrot1);\n\n            layers.bg.attr('transform', trans);\n            layers['radial-grid'].attr('transform', trans);\n            layers['angular-line'].select('path').attr('transform', trans);\n            layers['radial-axis'].attr('transform', trans2);\n            layers['radial-line'].select('line').attr('transform', trans2);\n            _this.updateRadialAxisTitle(fullLayoutNow, polarLayoutNow, rrot1);\n        } else {\n            _this.clipPaths.forTraces.select('path').attr('transform',\n                strTranslate(cxx, cyy) + strRotate(da)\n            );\n        }\n\n        // 'un-rotate' marker and text points\n        scatterPoints.each(function() {\n            var sel = d3.select(this);\n            var xy = Drawing.getTranslate(sel);\n            sel.attr('transform', strTranslate(xy.x, xy.y) + strRotate([da]));\n        });\n        scatterTextPoints.each(function() {\n            var sel = d3.select(this);\n            var tx = sel.select('text');\n            var xy = Drawing.getTranslate(sel);\n            // N.B rotate -> translate ordering matters\n            sel.attr('transform', strRotate([da, tx.attr('x'), tx.attr('y')]) + strTranslate(xy.x, xy.y));\n        });\n\n        // update rotation -> range -> _m,_b\n        angularAxis.rotation = Lib.modHalf(rot1, 360);\n        angularAxis.setGeometry();\n        angularAxis.setScale();\n\n        doTicksSingle(gd, angularAxis, true);\n\n        if(_this._hasClipOnAxisFalse && !Lib.isFullCircle(_this.sectorInRad)) {\n            scatterTraces.call(Drawing.hideOutsideRangePoints, _this);\n        }\n\n        var hasRegl = false;\n\n        for(var traceType in _this.traceHash) {\n            if(Registry.traceIs(traceType, 'gl')) {\n                var moduleCalcData = _this.traceHash[traceType];\n                var moduleCalcDataVisible = Lib.filterVisible(moduleCalcData);\n                var _module = moduleCalcData[0][0].trace._module;\n                _module.plot(gd, _this, moduleCalcDataVisible, polarLayoutNow);\n                if(moduleCalcDataVisible.length) hasRegl = true;\n            }\n        }\n\n        if(hasRegl) {\n            clearGlCanvases(gd);\n            redrawReglTraces(gd);\n        }\n    }\n\n    function doneFn() {\n        scatterTextPoints.select('text').attr('transform', null);\n\n        var updateObj = {};\n        updateObj[_this.id + '.angularaxis.rotation'] = rot1;\n\n        if(_this.vangles) {\n            updateObj[_this.id + '.radialaxis.angle'] = rrot1;\n        }\n\n        Registry.call('relayout', gd, updateObj);\n    }\n\n    dragOpts.prepFn = function(evt, startX, startY) {\n        var polarLayoutNow = fullLayout[_this.id];\n        rot0 = polarLayoutNow.angularaxis.rotation;\n\n        var bbox = angularDrag.getBoundingClientRect();\n        x0 = startX - bbox.left;\n        y0 = startY - bbox.top;\n        a0 = xy2a(x0, y0);\n\n        dragOpts.moveFn = moveFn;\n        dragOpts.doneFn = doneFn;\n\n        clearSelect(fullLayout._zoomlayer);\n    };\n\n    // I don't what we should do in this case, skip we now\n    if(_this.vangles && !Lib.isFullCircle(_this.sectorInRad)) {\n        dragOpts.prepFn = Lib.noop;\n        setCursor(d3.select(angularDrag), null);\n    }\n\n    dragElement.init(dragOpts);\n};\n\nproto.isPtInside = function(d) {\n    var sectorInRad = this.sectorInRad;\n    var vangles = this.vangles;\n    var thetag = this.angularAxis.c2g(d.theta);\n    var radialAxis = this.radialAxis;\n    var r = radialAxis.c2l(d.r);\n    var rl = radialAxis._rl;\n\n    var fn = vangles ? helpers.isPtInsidePolygon : Lib.isPtInsideSector;\n    return fn(r, thetag, rl, sectorInRad, vangles);\n};\n\nproto.pathArc = function(r) {\n    var sectorInRad = this.sectorInRad;\n    var vangles = this.vangles;\n    var fn = vangles ? helpers.pathPolygon : Lib.pathArc;\n    return fn(r, sectorInRad[0], sectorInRad[1], vangles);\n};\n\nproto.pathSector = function(r) {\n    var sectorInRad = this.sectorInRad;\n    var vangles = this.vangles;\n    var fn = vangles ? helpers.pathPolygon : Lib.pathSector;\n    return fn(r, sectorInRad[0], sectorInRad[1], vangles);\n};\n\nproto.pathAnnulus = function(r0, r1) {\n    var sectorInRad = this.sectorInRad;\n    var vangles = this.vangles;\n    var fn = vangles ? helpers.pathPolygonAnnulus : Lib.pathAnnulus;\n    return fn(r0, r1, sectorInRad[0], sectorInRad[1], vangles);\n};\n\nproto.pathSubplot = function() {\n    var r0 = this.innerRadius;\n    var r1 = this.radius;\n    return r0 ? this.pathAnnulus(r0, r1) : this.pathSector(r1);\n};\n\nproto.fillViewInitialKey = function(key, val) {\n    if(!(key in this.viewInitial)) {\n        this.viewInitial[key] = val;\n    }\n};\n\nfunction strTickLayout(axLayout) {\n    var out = axLayout.ticks + String(axLayout.ticklen) + String(axLayout.showticklabels);\n    if('side' in axLayout) out += axLayout.side;\n    return out;\n}\n\n// Finds the bounding box of a given circle sector,\n// inspired by https://math.stackexchange.com/q/1852703\n//\n// assumes:\n// - sector[0] < sector[1]\n// - counterclockwise rotation\nfunction computeSectorBBox(sector) {\n    var s0 = sector[0];\n    var s1 = sector[1];\n    var arc = s1 - s0;\n    var a0 = mod(s0, 360);\n    var a1 = a0 + arc;\n\n    var ax0 = Math.cos(deg2rad(a0));\n    var ay0 = Math.sin(deg2rad(a0));\n    var ax1 = Math.cos(deg2rad(a1));\n    var ay1 = Math.sin(deg2rad(a1));\n\n    var x0, y0, x1, y1;\n\n    if((a0 <= 90 && a1 >= 90) || (a0 > 90 && a1 >= 450)) {\n        y1 = 1;\n    } else if(ay0 <= 0 && ay1 <= 0) {\n        y1 = 0;\n    } else {\n        y1 = Math.max(ay0, ay1);\n    }\n\n    if((a0 <= 180 && a1 >= 180) || (a0 > 180 && a1 >= 540)) {\n        x0 = -1;\n    } else if(ax0 >= 0 && ax1 >= 0) {\n        x0 = 0;\n    } else {\n        x0 = Math.min(ax0, ax1);\n    }\n\n    if((a0 <= 270 && a1 >= 270) || (a0 > 270 && a1 >= 630)) {\n        y0 = -1;\n    } else if(ay0 >= 0 && ay1 >= 0) {\n        y0 = 0;\n    } else {\n        y0 = Math.min(ay0, ay1);\n    }\n\n    if(a1 >= 360) {\n        x1 = 1;\n    } else if(ax0 <= 0 && ax1 <= 0) {\n        x1 = 0;\n    } else {\n        x1 = Math.max(ax0, ax1);\n    }\n\n    return [x0, y0, x1, y1];\n}\n\nfunction snapToVertexAngle(a, vangles) {\n    var fn = function(v) { return Lib.angleDist(a, v); };\n    var ind = Lib.findIndexOfMin(vangles, fn);\n    return vangles[ind];\n}\n\nfunction updateElement(sel, showAttr, attrs) {\n    if(showAttr) {\n        sel.attr('display', null);\n        sel.attr(attrs);\n    } else if(sel) {\n        sel.attr('display', 'none');\n    }\n    return sel;\n}\n\nfunction strTranslate(x, y) {\n    return 'translate(' + x + ',' + y + ')';\n}\n\nfunction strRotate(angle) {\n    return 'rotate(' + angle + ')';\n}\n\n// because Math.sign(Math.cos(Math.PI / 2)) === 1\n// oh javascript ;)\nfunction sign(v) {\n    return Math.abs(v) < 1e-10 ? 0 :\n        v > 0 ? 1 : -1;\n}\n\nfunction signCos(v) {\n    return sign(Math.cos(v));\n}\n\nfunction signSin(v) {\n    return sign(Math.sin(v));\n}\n\n},{\"../../components/color\":570,\"../../components/dragelement\":592,\"../../components/drawing\":595,\"../../components/fx\":612,\"../../components/titles\":661,\"../../constants/alignment\":668,\"../../lib\":696,\"../../lib/clear_gl_canvases\":679,\"../../lib/setcursor\":717,\"../../plot_api/subroutines\":736,\"../../registry\":828,\"../cartesian/autorange\":744,\"../cartesian/axes\":745,\"../cartesian/dragbox\":754,\"../cartesian/select\":763,\"../cartesian/set_convert\":764,\"../plots\":809,\"./constants\":810,\"./helpers\":811,\"./set_convert\":822,\"d3\":148,\"tinycolor2\":514}],822:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar setConvertCartesian = _dereq_('../cartesian/set_convert');\n\nvar deg2rad = Lib.deg2rad;\nvar rad2deg = Lib.rad2deg;\n\n/**\n * setConvert for polar axes!\n *\n * @param {object} ax\n *   axis in question (works for both radial and angular axes)\n * @param {object} polarLayout\n *   full polar layout of the subplot associated with 'ax'\n * @param {object} fullLayout\n *   full layout\n *\n * Here, reuse some of the Cartesian setConvert logic,\n * but we must extend some of it, as both radial and angular axes\n * don't have domains and angular axes don't have _true_ ranges.\n *\n * Moreover, we introduce two new coordinate systems:\n * - 'g' for geometric coordinates and\n * - 't' for angular ticks\n *\n * Radial axis coordinate systems:\n * - d, c and l: same as for cartesian axes\n * - g: like calcdata but translated about `radialaxis.range[0]` & `polar.hole`\n *\n * Angular axis coordinate systems:\n * - d: data, in whatever form it's provided\n * - c: calcdata, turned into radians (for linear axes)\n *      or category indices (category axes)\n * - t: tick calcdata, just like 'c' but in degrees for linear axes\n * - g: geometric calcdata, radians coordinates that take into account\n *      axis rotation and direction\n *\n * Then, 'g'eometric data is ready to be converted to (x,y).\n */\nmodule.exports = function setConvert(ax, polarLayout, fullLayout) {\n    setConvertCartesian(ax, fullLayout);\n\n    switch(ax._id) {\n        case 'x':\n        case 'radialaxis':\n            setConvertRadial(ax, polarLayout);\n            break;\n        case 'angularaxis':\n            setConvertAngular(ax, polarLayout);\n            break;\n    }\n};\n\nfunction setConvertRadial(ax, polarLayout) {\n    var subplot = polarLayout._subplot;\n\n    ax.setGeometry = function() {\n        var rl0 = ax._rl[0];\n        var rl1 = ax._rl[1];\n\n        var b = subplot.innerRadius;\n        var m = (subplot.radius - b) / (rl1 - rl0);\n        var b2 = b / m;\n\n        var rFilter = rl0 > rl1 ?\n            function(v) { return v <= 0; } :\n            function(v) { return v >= 0; };\n\n        ax.c2g = function(v) {\n            var r = ax.c2l(v) - rl0;\n            return (rFilter(r) ? r : 0) + b2;\n        };\n\n        ax.g2c = function(v) {\n            return ax.l2c(v + rl0 - b2);\n        };\n\n        ax.g2p = function(v) { return v * m; };\n        ax.c2p = function(v) { return ax.g2p(ax.c2g(v)); };\n    };\n}\n\nfunction toRadians(v, unit) {\n    return unit === 'degrees' ? deg2rad(v) : v;\n}\n\nfunction fromRadians(v, unit) {\n    return unit === 'degrees' ? rad2deg(v) : v;\n}\n\nfunction setConvertAngular(ax, polarLayout) {\n    var axType = ax.type;\n\n    if(axType === 'linear') {\n        var _d2c = ax.d2c;\n        var _c2d = ax.c2d;\n\n        ax.d2c = function(v, unit) { return toRadians(_d2c(v), unit); };\n        ax.c2d = function(v, unit) { return _c2d(fromRadians(v, unit)); };\n    }\n\n    // override makeCalcdata to handle thetaunit and special theta0/dtheta logic\n    ax.makeCalcdata = function(trace, coord) {\n        var arrayIn = trace[coord];\n        var len = trace._length;\n        var arrayOut, i;\n\n        var _d2c = function(v) { return ax.d2c(v, trace.thetaunit); };\n\n        if(arrayIn) {\n            if(Lib.isTypedArray(arrayIn) && axType === 'linear') {\n                if(len === arrayIn.length) {\n                    return arrayIn;\n                } else if(arrayIn.subarray) {\n                    return arrayIn.subarray(0, len);\n                }\n            }\n\n            arrayOut = new Array(len);\n            for(i = 0; i < len; i++) {\n                arrayOut[i] = _d2c(arrayIn[i]);\n            }\n        } else {\n            var coord0 = coord + '0';\n            var dcoord = 'd' + coord;\n            var v0 = (coord0 in trace) ? _d2c(trace[coord0]) : 0;\n            var dv = (trace[dcoord]) ? _d2c(trace[dcoord]) : (ax.period || 2 * Math.PI) / len;\n\n            arrayOut = new Array(len);\n            for(i = 0; i < len; i++) {\n                arrayOut[i] = v0 + i * dv;\n            }\n        }\n\n        return arrayOut;\n    };\n\n    // N.B. we mock the axis 'range' here\n    ax.setGeometry = function() {\n        var sector = polarLayout.sector;\n        var sectorInRad = sector.map(deg2rad);\n        var dir = {clockwise: -1, counterclockwise: 1}[ax.direction];\n        var rot = deg2rad(ax.rotation);\n\n        var rad2g = function(v) { return dir * v + rot; };\n        var g2rad = function(v) { return (v - rot) / dir; };\n\n        var rad2c, c2rad;\n        var rad2t, t2rad;\n\n        switch(axType) {\n            case 'linear':\n                c2rad = rad2c = Lib.identity;\n                t2rad = deg2rad;\n                rad2t = rad2deg;\n\n                // Set the angular range in degrees to make auto-tick computation cleaner,\n                // changing rotation/direction should not affect the angular tick value.\n                ax.range = Lib.isFullCircle(sectorInRad) ?\n                    [sector[0], sector[0] + 360] :\n                    sectorInRad.map(g2rad).map(rad2deg);\n                break;\n\n            case 'category':\n                var catLen = ax._categories.length;\n                var _period = ax.period ? Math.max(ax.period, catLen) : catLen;\n\n                c2rad = t2rad = function(v) { return v * 2 * Math.PI / _period; };\n                rad2c = rad2t = function(v) { return v * _period / Math.PI / 2; };\n\n                ax.range = [0, _period];\n                break;\n        }\n\n        ax.c2g = function(v) { return rad2g(c2rad(v)); };\n        ax.g2c = function(v) { return rad2c(g2rad(v)); };\n\n        ax.t2g = function(v) { return rad2g(t2rad(v)); };\n        ax.g2t = function(v) { return rad2t(g2rad(v)); };\n    };\n}\n\n},{\"../../lib\":696,\"../cartesian/set_convert\":764}],823:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar Template = _dereq_('../plot_api/plot_template');\nvar handleDomainDefaults = _dereq_('./domain').defaults;\n\n\n/**\n * Find and supply defaults to all subplots of a given type\n * This handles subplots that are contained within one container - so\n * gl3d, geo, ternary... but not 2d axes which have separate x and y axes\n * finds subplots, coerces their `domain` attributes, then calls the\n * given handleDefaults function to fill in everything else.\n *\n * layoutIn: the complete user-supplied input layout\n * layoutOut: the complete finished layout\n * fullData: the finished data array, used only to find subplots\n * opts: {\n *  type: subplot type string\n *  attributes: subplot attributes object\n *  partition: 'x' or 'y', which direction to divide domain space by default\n *      (default 'x', ie side-by-side subplots)\n *      TODO: this option is only here because 3D and geo made opposite\n *      choices in this regard previously and I didn't want to change it.\n *      Instead we should do:\n *      - something consistent\n *      - something more square (4 cuts 2x2, 5/6 cuts 2x3, etc.)\n *      - something that includes all subplot types in one arrangement,\n *        now that we can have them together!\n *  handleDefaults: function of (subplotLayoutIn, subplotLayoutOut, coerce, opts)\n *      this opts object is passed through to handleDefaults, so attach any\n *      additional items needed by this function here as well\n * }\n */\nmodule.exports = function handleSubplotDefaults(layoutIn, layoutOut, fullData, opts) {\n    var subplotType = opts.type;\n    var subplotAttributes = opts.attributes;\n    var handleDefaults = opts.handleDefaults;\n    var partition = opts.partition || 'x';\n\n    var ids = layoutOut._subplots[subplotType];\n    var idsLength = ids.length;\n\n    var baseId = idsLength && ids[0].replace(/\\d+$/, '');\n\n    var subplotLayoutIn, subplotLayoutOut;\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(subplotLayoutIn, subplotLayoutOut, subplotAttributes, attr, dflt);\n    }\n\n    for(var i = 0; i < idsLength; i++) {\n        var id = ids[i];\n\n        // ternary traces get a layout ternary for free!\n        if(layoutIn[id]) subplotLayoutIn = layoutIn[id];\n        else subplotLayoutIn = layoutIn[id] = {};\n\n        subplotLayoutOut = Template.newContainer(layoutOut, id, baseId);\n\n        var dfltDomains = {};\n        dfltDomains[partition] = [i / idsLength, (i + 1) / idsLength];\n        handleDomainDefaults(subplotLayoutOut, layoutOut, coerce, dfltDomains);\n\n        opts.id = id;\n        handleDefaults(subplotLayoutIn, subplotLayoutOut, coerce, opts);\n    }\n};\n\n},{\"../lib\":696,\"../plot_api/plot_template\":735,\"./domain\":771}],824:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Ternary = _dereq_('./ternary');\n\nvar getSubplotCalcData = _dereq_('../../plots/get_data').getSubplotCalcData;\nvar counterRegex = _dereq_('../../lib').counterRegex;\nvar TERNARY = 'ternary';\n\nexports.name = TERNARY;\n\nvar attr = exports.attr = 'subplot';\n\nexports.idRoot = TERNARY;\n\nexports.idRegex = exports.attrRegex = counterRegex(TERNARY);\n\nvar attributes = exports.attributes = {};\nattributes[attr] = {\n    valType: 'subplotid',\n    \n    dflt: 'ternary',\n    editType: 'calc',\n    \n};\n\nexports.layoutAttributes = _dereq_('./layout_attributes');\n\nexports.supplyLayoutDefaults = _dereq_('./layout_defaults');\n\nexports.plot = function plotTernary(gd) {\n    var fullLayout = gd._fullLayout;\n    var calcData = gd.calcdata;\n    var ternaryIds = fullLayout._subplots[TERNARY];\n\n    for(var i = 0; i < ternaryIds.length; i++) {\n        var ternaryId = ternaryIds[i],\n            ternaryCalcData = getSubplotCalcData(calcData, TERNARY, ternaryId),\n            ternary = fullLayout[ternaryId]._subplot;\n\n        // If ternary is not instantiated, create one!\n        if(!ternary) {\n            ternary = new Ternary({\n                id: ternaryId,\n                graphDiv: gd,\n                container: fullLayout._ternarylayer.node()\n            },\n                fullLayout\n            );\n\n            fullLayout[ternaryId]._subplot = ternary;\n        }\n\n        ternary.plot(ternaryCalcData, fullLayout, gd._promises);\n    }\n};\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var oldTernaryKeys = oldFullLayout._subplots[TERNARY] || [];\n\n    for(var i = 0; i < oldTernaryKeys.length; i++) {\n        var oldTernaryKey = oldTernaryKeys[i];\n        var oldTernary = oldFullLayout[oldTernaryKey]._subplot;\n\n        if(!newFullLayout[oldTernaryKey] && !!oldTernary) {\n            oldTernary.plotContainer.remove();\n            oldTernary.clipDef.remove();\n            oldTernary.clipDefRelative.remove();\n            oldTernary.layers['a-title'].remove();\n            oldTernary.layers['b-title'].remove();\n            oldTernary.layers['c-title'].remove();\n        }\n    }\n};\n\n},{\"../../lib\":696,\"../../plots/get_data\":782,\"./layout_attributes\":825,\"./layout_defaults\":826,\"./ternary\":827}],825:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorAttrs = _dereq_('../../components/color/attributes');\nvar domainAttrs = _dereq_('../domain').attributes;\nvar axesAttrs = _dereq_('../cartesian/layout_attributes');\n\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar ternaryAxesAttrs = {\n    title: axesAttrs.title,\n    titlefont: axesAttrs.titlefont,\n    color: axesAttrs.color,\n    // ticks\n    tickmode: axesAttrs.tickmode,\n    nticks: extendFlat({}, axesAttrs.nticks, {dflt: 6, min: 1}),\n    tick0: axesAttrs.tick0,\n    dtick: axesAttrs.dtick,\n    tickvals: axesAttrs.tickvals,\n    ticktext: axesAttrs.ticktext,\n    ticks: axesAttrs.ticks,\n    ticklen: axesAttrs.ticklen,\n    tickwidth: axesAttrs.tickwidth,\n    tickcolor: axesAttrs.tickcolor,\n    showticklabels: axesAttrs.showticklabels,\n    showtickprefix: axesAttrs.showtickprefix,\n    tickprefix: axesAttrs.tickprefix,\n    showticksuffix: axesAttrs.showticksuffix,\n    ticksuffix: axesAttrs.ticksuffix,\n    showexponent: axesAttrs.showexponent,\n    exponentformat: axesAttrs.exponentformat,\n    separatethousands: axesAttrs.separatethousands,\n    tickfont: axesAttrs.tickfont,\n    tickangle: axesAttrs.tickangle,\n    tickformat: axesAttrs.tickformat,\n    tickformatstops: axesAttrs.tickformatstops,\n    hoverformat: axesAttrs.hoverformat,\n    // lines and grids\n    showline: extendFlat({}, axesAttrs.showline, {dflt: true}),\n    linecolor: axesAttrs.linecolor,\n    linewidth: axesAttrs.linewidth,\n    showgrid: extendFlat({}, axesAttrs.showgrid, {dflt: true}),\n    gridcolor: axesAttrs.gridcolor,\n    gridwidth: axesAttrs.gridwidth,\n    layer: axesAttrs.layer,\n    // range\n    min: {\n        valType: 'number',\n        dflt: 0,\n        \n        min: 0,\n        \n    }\n};\n\nmodule.exports = overrideAll({\n    domain: domainAttrs({name: 'ternary'}),\n\n    bgcolor: {\n        valType: 'color',\n        \n        dflt: colorAttrs.background,\n        \n    },\n    sum: {\n        valType: 'number',\n        \n        dflt: 1,\n        min: 0,\n        \n    },\n    aaxis: ternaryAxesAttrs,\n    baxis: ternaryAxesAttrs,\n    caxis: ternaryAxesAttrs\n}, 'plot', 'from-root');\n\n},{\"../../components/color/attributes\":569,\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../cartesian/layout_attributes\":758,\"../domain\":771}],826:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Color = _dereq_('../../components/color');\nvar Template = _dereq_('../../plot_api/plot_template');\nvar Lib = _dereq_('../../lib');\n\nvar handleSubplotDefaults = _dereq_('../subplot_defaults');\nvar handleTickLabelDefaults = _dereq_('../cartesian/tick_label_defaults');\nvar handleTickMarkDefaults = _dereq_('../cartesian/tick_mark_defaults');\nvar handleTickValueDefaults = _dereq_('../cartesian/tick_value_defaults');\nvar handleLineGridDefaults = _dereq_('../cartesian/line_grid_defaults');\nvar layoutAttributes = _dereq_('./layout_attributes');\n\nvar axesNames = ['aaxis', 'baxis', 'caxis'];\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut, fullData) {\n    handleSubplotDefaults(layoutIn, layoutOut, fullData, {\n        type: 'ternary',\n        attributes: layoutAttributes,\n        handleDefaults: handleTernaryDefaults,\n        font: layoutOut.font,\n        paper_bgcolor: layoutOut.paper_bgcolor\n    });\n};\n\nfunction handleTernaryDefaults(ternaryLayoutIn, ternaryLayoutOut, coerce, options) {\n    var bgColor = coerce('bgcolor');\n    var sum = coerce('sum');\n    options.bgColor = Color.combine(bgColor, options.paper_bgcolor);\n    var axName, containerIn, containerOut;\n\n    // TODO: allow most (if not all) axis attributes to be set\n    // in the outer container and used as defaults in the individual axes?\n\n    for(var j = 0; j < axesNames.length; j++) {\n        axName = axesNames[j];\n        containerIn = ternaryLayoutIn[axName] || {};\n        containerOut = Template.newContainer(ternaryLayoutOut, axName);\n        containerOut._name = axName;\n\n        handleAxisDefaults(containerIn, containerOut, options);\n    }\n\n    // if the min values contradict each other, set them all to default (0)\n    // and delete *all* the inputs so the user doesn't get confused later by\n    // changing one and having them all change.\n    var aaxis = ternaryLayoutOut.aaxis,\n        baxis = ternaryLayoutOut.baxis,\n        caxis = ternaryLayoutOut.caxis;\n    if(aaxis.min + baxis.min + caxis.min >= sum) {\n        aaxis.min = 0;\n        baxis.min = 0;\n        caxis.min = 0;\n        if(ternaryLayoutIn.aaxis) delete ternaryLayoutIn.aaxis.min;\n        if(ternaryLayoutIn.baxis) delete ternaryLayoutIn.baxis.min;\n        if(ternaryLayoutIn.caxis) delete ternaryLayoutIn.caxis.min;\n    }\n}\n\nfunction handleAxisDefaults(containerIn, containerOut, options) {\n    var axAttrs = layoutAttributes[containerOut._name];\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(containerIn, containerOut, axAttrs, attr, dflt);\n    }\n\n    containerOut.type = 'linear'; // no other types allowed for ternary\n\n    var dfltColor = coerce('color');\n    // if axis.color was provided, use it for fonts too; otherwise,\n    // inherit from global font color in case that was provided.\n    var dfltFontColor = (dfltColor !== axAttrs.color.dflt) ? dfltColor : options.font.color;\n\n    var axName = containerOut._name,\n        letterUpper = axName.charAt(0).toUpperCase(),\n        dfltTitle = 'Component ' + letterUpper;\n\n    var title = coerce('title', dfltTitle);\n    containerOut._hovertitle = title === dfltTitle ? title : letterUpper;\n\n    Lib.coerceFont(coerce, 'titlefont', {\n        family: options.font.family,\n        size: Math.round(options.font.size * 1.2),\n        color: dfltFontColor\n    });\n\n    // range is just set by 'min' - max is determined by the other axes mins\n    coerce('min');\n\n    handleTickValueDefaults(containerIn, containerOut, coerce, 'linear');\n    handleTickLabelDefaults(containerIn, containerOut, coerce, 'linear', {});\n    handleTickMarkDefaults(containerIn, containerOut, coerce,\n        { outerTicks: true });\n\n    var showTickLabels = coerce('showticklabels');\n    if(showTickLabels) {\n        Lib.coerceFont(coerce, 'tickfont', {\n            family: options.font.family,\n            size: options.font.size,\n            color: dfltFontColor\n        });\n        coerce('tickangle');\n        coerce('tickformat');\n    }\n\n    handleLineGridDefaults(containerIn, containerOut, coerce, {\n        dfltColor: dfltColor,\n        bgColor: options.bgColor,\n        // default grid color is darker here (60%, vs cartesian default ~91%)\n        // because the grid is not square so the eye needs heavier cues to follow\n        blend: 60,\n        showLine: true,\n        showGrid: true,\n        noZeroLine: true,\n        attributes: axAttrs\n    });\n\n    coerce('hoverformat');\n    coerce('layer');\n}\n\n},{\"../../components/color\":570,\"../../lib\":696,\"../../plot_api/plot_template\":735,\"../cartesian/line_grid_defaults\":760,\"../cartesian/tick_label_defaults\":765,\"../cartesian/tick_mark_defaults\":766,\"../cartesian/tick_value_defaults\":767,\"../subplot_defaults\":823,\"./layout_attributes\":825}],827:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar tinycolor = _dereq_('tinycolor2');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar _ = Lib._;\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\nvar setConvert = _dereq_('../cartesian/set_convert');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar Plots = _dereq_('../plots');\nvar Axes = _dereq_('../cartesian/axes');\nvar dragElement = _dereq_('../../components/dragelement');\nvar Fx = _dereq_('../../components/fx');\nvar Titles = _dereq_('../../components/titles');\nvar prepSelect = _dereq_('../cartesian/select').prepSelect;\nvar selectOnClick = _dereq_('../cartesian/select').selectOnClick;\nvar clearSelect = _dereq_('../cartesian/select').clearSelect;\nvar constants = _dereq_('../cartesian/constants');\n\nfunction Ternary(options, fullLayout) {\n    this.id = options.id;\n    this.graphDiv = options.graphDiv;\n    this.init(fullLayout);\n    this.makeFramework(fullLayout);\n\n    // unfortunately, we have to keep track of some axis tick settings\n    // as ternary subplots do not implement the 'ticks' editType\n    this.aTickLayout = null;\n    this.bTickLayout = null;\n    this.cTickLayout = null;\n}\n\nmodule.exports = Ternary;\n\nvar proto = Ternary.prototype;\n\nproto.init = function(fullLayout) {\n    this.container = fullLayout._ternarylayer;\n    this.defs = fullLayout._defs;\n    this.layoutId = fullLayout._uid;\n    this.traceHash = {};\n    this.layers = {};\n};\n\nproto.plot = function(ternaryCalcData, fullLayout) {\n    var _this = this;\n    var ternaryLayout = fullLayout[_this.id];\n    var graphSize = fullLayout._size;\n\n    _this._hasClipOnAxisFalse = false;\n    for(var i = 0; i < ternaryCalcData.length; i++) {\n        var trace = ternaryCalcData[i][0].trace;\n\n        if(trace.cliponaxis === false) {\n            _this._hasClipOnAxisFalse = true;\n            break;\n        }\n    }\n\n    _this.updateLayers(ternaryLayout);\n    _this.adjustLayout(ternaryLayout, graphSize);\n    Plots.generalUpdatePerTraceModule(_this.graphDiv, _this, ternaryCalcData, ternaryLayout);\n    _this.layers.plotbg.select('path').call(Color.fill, ternaryLayout.bgcolor);\n};\n\nproto.makeFramework = function(fullLayout) {\n    var _this = this;\n    var ternaryLayout = fullLayout[_this.id];\n\n    var clipId = _this.clipId = 'clip' + _this.layoutId + _this.id;\n    var clipIdRelative = _this.clipIdRelative = 'clip-relative' + _this.layoutId + _this.id;\n\n    // clippath for this ternary subplot\n    _this.clipDef = Lib.ensureSingleById(fullLayout._clips, 'clipPath', clipId, function(s) {\n        s.append('path').attr('d', 'M0,0Z');\n    });\n\n    // 'relative' clippath (i.e. no translation) for this ternary subplot\n    _this.clipDefRelative = Lib.ensureSingleById(fullLayout._clips, 'clipPath', clipIdRelative, function(s) {\n        s.append('path').attr('d', 'M0,0Z');\n    });\n\n    // container for everything in this ternary subplot\n    _this.plotContainer = Lib.ensureSingle(_this.container, 'g', _this.id);\n    _this.updateLayers(ternaryLayout);\n\n    Drawing.setClipUrl(_this.layers.backplot, clipId);\n    Drawing.setClipUrl(_this.layers.grids, clipId);\n};\n\nproto.updateLayers = function(ternaryLayout) {\n    var _this = this;\n    var layers = _this.layers;\n\n    // inside that container, we have one container for the data, and\n    // one each for the three axes around it.\n\n    var plotLayers = ['draglayer', 'plotbg', 'backplot', 'grids'];\n\n    if(ternaryLayout.aaxis.layer === 'below traces') {\n        plotLayers.push('aaxis', 'aline');\n    }\n    if(ternaryLayout.baxis.layer === 'below traces') {\n        plotLayers.push('baxis', 'bline');\n    }\n    if(ternaryLayout.caxis.layer === 'below traces') {\n        plotLayers.push('caxis', 'cline');\n    }\n\n    plotLayers.push('frontplot');\n\n    if(ternaryLayout.aaxis.layer === 'above traces') {\n        plotLayers.push('aaxis', 'aline');\n    }\n    if(ternaryLayout.baxis.layer === 'above traces') {\n        plotLayers.push('baxis', 'bline');\n    }\n    if(ternaryLayout.caxis.layer === 'above traces') {\n        plotLayers.push('caxis', 'cline');\n    }\n\n    var toplevel = _this.plotContainer.selectAll('g.toplevel')\n        .data(plotLayers, String);\n\n    var grids = ['agrid', 'bgrid', 'cgrid'];\n\n    toplevel.enter().append('g')\n        .attr('class', function(d) { return 'toplevel ' + d; })\n        .each(function(d) {\n            var s = d3.select(this);\n            layers[d] = s;\n\n            // containers for different trace types.\n            // NOTE - this is different from cartesian, where all traces\n            // are in front of grids. Here I'm putting maps behind the grids\n            // so the grids will always be visible if they're requested.\n            // Perhaps we want that for cartesian too?\n            if(d === 'frontplot') {\n                s.append('g').classed('scatterlayer', true);\n            } else if(d === 'backplot') {\n                s.append('g').classed('maplayer', true);\n            } else if(d === 'plotbg') {\n                s.append('path').attr('d', 'M0,0Z');\n            } else if(d === 'aline' || d === 'bline' || d === 'cline') {\n                s.append('path');\n            } else if(d === 'grids') {\n                grids.forEach(function(d) {\n                    layers[d] = s.append('g').classed('grid ' + d, true);\n\n                    var fictID = (d === 'bgrid') ? 'x' : 'y';\n                    layers[d].append('g').classed(fictID, true);\n                });\n            }\n        });\n\n    toplevel.order();\n};\n\nvar w_over_h = Math.sqrt(4 / 3);\n\nproto.adjustLayout = function(ternaryLayout, graphSize) {\n    var _this = this,\n        domain = ternaryLayout.domain,\n        xDomainCenter = (domain.x[0] + domain.x[1]) / 2,\n        yDomainCenter = (domain.y[0] + domain.y[1]) / 2,\n        xDomain = domain.x[1] - domain.x[0],\n        yDomain = domain.y[1] - domain.y[0],\n        wmax = xDomain * graphSize.w,\n        hmax = yDomain * graphSize.h,\n        sum = ternaryLayout.sum,\n        amin = ternaryLayout.aaxis.min,\n        bmin = ternaryLayout.baxis.min,\n        cmin = ternaryLayout.caxis.min;\n\n    var x0, y0, w, h, xDomainFinal, yDomainFinal;\n\n    if(wmax > w_over_h * hmax) {\n        h = hmax;\n        w = h * w_over_h;\n    }\n    else {\n        w = wmax;\n        h = w / w_over_h;\n    }\n\n    xDomainFinal = xDomain * w / wmax;\n    yDomainFinal = yDomain * h / hmax;\n\n    x0 = graphSize.l + graphSize.w * xDomainCenter - w / 2;\n    y0 = graphSize.t + graphSize.h * (1 - yDomainCenter) - h / 2;\n\n    _this.x0 = x0;\n    _this.y0 = y0;\n    _this.w = w;\n    _this.h = h;\n    _this.sum = sum;\n\n    // set up the x and y axis objects we'll use to lay out the points\n    _this.xaxis = {\n        type: 'linear',\n        range: [amin + 2 * cmin - sum, sum - amin - 2 * bmin],\n        domain: [\n            xDomainCenter - xDomainFinal / 2,\n            xDomainCenter + xDomainFinal / 2\n        ],\n        _id: 'x'\n    };\n    setConvert(_this.xaxis, _this.graphDiv._fullLayout);\n    _this.xaxis.setScale();\n    _this.xaxis.isPtWithinRange = function(d) {\n        return (\n            d.a >= _this.aaxis.range[0] &&\n            d.a <= _this.aaxis.range[1] &&\n            d.b >= _this.baxis.range[1] &&\n            d.b <= _this.baxis.range[0] &&\n            d.c >= _this.caxis.range[1] &&\n            d.c <= _this.caxis.range[0]\n        );\n    };\n\n    _this.yaxis = {\n        type: 'linear',\n        range: [amin, sum - bmin - cmin],\n        domain: [\n            yDomainCenter - yDomainFinal / 2,\n            yDomainCenter + yDomainFinal / 2\n        ],\n        _id: 'y'\n    };\n    setConvert(_this.yaxis, _this.graphDiv._fullLayout);\n    _this.yaxis.setScale();\n    _this.yaxis.isPtWithinRange = function() { return true; };\n\n    // set up the modified axes for tick drawing\n    var yDomain0 = _this.yaxis.domain[0];\n\n    // aaxis goes up the left side. Set it up as a y axis, but with\n    // fictitious angles and domain, but then rotate and translate\n    // it into place at the end\n    var aaxis = _this.aaxis = extendFlat({}, ternaryLayout.aaxis, {\n        visible: true,\n        range: [amin, sum - bmin - cmin],\n        side: 'left',\n        _counterangle: 30,\n        // tickangle = 'auto' means 0 anyway for a y axis, need to coerce to 0 here\n        // so we can shift by 30.\n        tickangle: (+ternaryLayout.aaxis.tickangle || 0) - 30,\n        domain: [yDomain0, yDomain0 + yDomainFinal * w_over_h],\n        _axislayer: _this.layers.aaxis,\n        _gridlayer: _this.layers.agrid,\n        anchor: 'free',\n        position: 0,\n        _pos: 0, // _this.xaxis.domain[0] * graphSize.w,\n        _id: 'y',\n        _length: w,\n        _gridpath: 'M0,0l' + h + ',-' + (w / 2),\n        automargin: false // don't use automargins routine for labels\n    });\n    setConvert(aaxis, _this.graphDiv._fullLayout);\n    aaxis.setScale();\n\n    // baxis goes across the bottom (backward). We can set it up as an x axis\n    // without any enclosing transformation.\n    var baxis = _this.baxis = extendFlat({}, ternaryLayout.baxis, {\n        visible: true,\n        range: [sum - amin - cmin, bmin],\n        side: 'bottom',\n        _counterangle: 30,\n        domain: _this.xaxis.domain,\n        _axislayer: _this.layers.baxis,\n        _gridlayer: _this.layers.bgrid,\n        _counteraxis: _this.aaxis,\n        anchor: 'free',\n        position: 0,\n        _pos: 0, // (1 - yDomain0) * graphSize.h,\n        _id: 'x',\n        _length: w,\n        _gridpath: 'M0,0l-' + (w / 2) + ',-' + h,\n        automargin: false // don't use automargins routine for labels\n    });\n    setConvert(baxis, _this.graphDiv._fullLayout);\n    baxis.setScale();\n    aaxis._counteraxis = baxis;\n\n    // caxis goes down the right side. Set it up as a y axis, with\n    // post-transformation similar to aaxis\n    var caxis = _this.caxis = extendFlat({}, ternaryLayout.caxis, {\n        visible: true,\n        range: [sum - amin - bmin, cmin],\n        side: 'right',\n        _counterangle: 30,\n        tickangle: (+ternaryLayout.caxis.tickangle || 0) + 30,\n        domain: [yDomain0, yDomain0 + yDomainFinal * w_over_h],\n        _axislayer: _this.layers.caxis,\n        _gridlayer: _this.layers.cgrid,\n        _counteraxis: _this.baxis,\n        anchor: 'free',\n        position: 0,\n        _pos: 0, // _this.xaxis.domain[1] * graphSize.w,\n        _id: 'y',\n        _length: w,\n        _gridpath: 'M0,0l-' + h + ',' + (w / 2),\n        automargin: false // don't use automargins routine for labels\n    });\n    setConvert(caxis, _this.graphDiv._fullLayout);\n    caxis.setScale();\n\n    var triangleClip = 'M' + x0 + ',' + (y0 + h) + 'h' + w + 'l-' + (w / 2) + ',-' + h + 'Z';\n    _this.clipDef.select('path').attr('d', triangleClip);\n    _this.layers.plotbg.select('path').attr('d', triangleClip);\n\n    var triangleClipRelative = 'M0,' + h + 'h' + w + 'l-' + (w / 2) + ',-' + h + 'Z';\n    _this.clipDefRelative.select('path').attr('d', triangleClipRelative);\n\n    var plotTransform = 'translate(' + x0 + ',' + y0 + ')';\n    _this.plotContainer.selectAll('.scatterlayer,.maplayer')\n        .attr('transform', plotTransform);\n\n    _this.clipDefRelative.select('path').attr('transform', null);\n\n    // TODO: shift axes to accommodate linewidth*sin(30) tick mark angle\n\n    // TODO: there's probably an easier way to handle these translations/offsets now...\n    var bTransform = 'translate(' + (x0 - baxis._offset) + ',' + (y0 + h) + ')';\n\n    _this.layers.baxis.attr('transform', bTransform);\n    _this.layers.bgrid.attr('transform', bTransform);\n\n    var aTransform = 'translate(' + (x0 + w / 2) + ',' + y0 +\n        ')rotate(30)translate(0,' + -aaxis._offset + ')';\n    _this.layers.aaxis.attr('transform', aTransform);\n    _this.layers.agrid.attr('transform', aTransform);\n\n    var cTransform = 'translate(' + (x0 + w / 2) + ',' + y0 +\n        ')rotate(-30)translate(0,' + -caxis._offset + ')';\n    _this.layers.caxis.attr('transform', cTransform);\n    _this.layers.cgrid.attr('transform', cTransform);\n\n    _this.drawAxes(true);\n\n    // remove crispEdges - all the off-square angles in ternary plots\n    // make these counterproductive.\n    _this.plotContainer.selectAll('.crisp').classed('crisp', false);\n\n    _this.layers.aline.select('path')\n        .attr('d', aaxis.showline ?\n            'M' + x0 + ',' + (y0 + h) + 'l' + (w / 2) + ',-' + h : 'M0,0')\n        .call(Color.stroke, aaxis.linecolor || '#000')\n        .style('stroke-width', (aaxis.linewidth || 0) + 'px');\n    _this.layers.bline.select('path')\n        .attr('d', baxis.showline ?\n            'M' + x0 + ',' + (y0 + h) + 'h' + w : 'M0,0')\n        .call(Color.stroke, baxis.linecolor || '#000')\n        .style('stroke-width', (baxis.linewidth || 0) + 'px');\n    _this.layers.cline.select('path')\n        .attr('d', caxis.showline ?\n            'M' + (x0 + w / 2) + ',' + y0 + 'l' + (w / 2) + ',' + h : 'M0,0')\n        .call(Color.stroke, caxis.linecolor || '#000')\n        .style('stroke-width', (caxis.linewidth || 0) + 'px');\n\n    if(!_this.graphDiv._context.staticPlot) {\n        _this.initInteractions();\n    }\n\n    Drawing.setClipUrl(\n        _this.layers.frontplot,\n        _this._hasClipOnAxisFalse ? null : _this.clipId\n    );\n};\n\nproto.drawAxes = function(doTitles) {\n    var _this = this;\n    var gd = _this.graphDiv;\n    var titlesuffix = _this.id.substr(7) + 'title';\n    var layers = _this.layers;\n    var aaxis = _this.aaxis;\n    var baxis = _this.baxis;\n    var caxis = _this.caxis;\n    var newTickLayout;\n\n    newTickLayout = strTickLayout(aaxis);\n    if(_this.aTickLayout !== newTickLayout) {\n        layers.aaxis.selectAll('.ytick').remove();\n        _this.aTickLayout = newTickLayout;\n    }\n\n    newTickLayout = strTickLayout(baxis);\n    if(_this.bTickLayout !== newTickLayout) {\n        layers.baxis.selectAll('.xtick').remove();\n        _this.bTickLayout = newTickLayout;\n    }\n\n    newTickLayout = strTickLayout(caxis);\n    if(_this.cTickLayout !== newTickLayout) {\n        layers.caxis.selectAll('.ytick').remove();\n        _this.cTickLayout = newTickLayout;\n    }\n\n    // 3rd arg true below skips titles, so we can configure them\n    // correctly later on.\n    Axes.doTicksSingle(gd, aaxis, true);\n    Axes.doTicksSingle(gd, baxis, true);\n    Axes.doTicksSingle(gd, caxis, true);\n\n    if(doTitles) {\n        var apad = Math.max(aaxis.showticklabels ? aaxis.tickfont.size / 2 : 0,\n            (caxis.showticklabels ? caxis.tickfont.size * 0.75 : 0) +\n            (caxis.ticks === 'outside' ? caxis.ticklen * 0.87 : 0));\n        _this.layers['a-title'] = Titles.draw(gd, 'a' + titlesuffix, {\n            propContainer: aaxis,\n            propName: _this.id + '.aaxis.title',\n            placeholder: _(gd, 'Click to enter Component A title'),\n            attributes: {\n                x: _this.x0 + _this.w / 2,\n                y: _this.y0 - aaxis.titlefont.size / 3 - apad,\n                'text-anchor': 'middle'\n            }\n        });\n\n\n        var bpad = (baxis.showticklabels ? baxis.tickfont.size : 0) +\n            (baxis.ticks === 'outside' ? baxis.ticklen : 0) + 3;\n\n        _this.layers['b-title'] = Titles.draw(gd, 'b' + titlesuffix, {\n            propContainer: baxis,\n            propName: _this.id + '.baxis.title',\n            placeholder: _(gd, 'Click to enter Component B title'),\n            attributes: {\n                x: _this.x0 - bpad,\n                y: _this.y0 + _this.h + baxis.titlefont.size * 0.83 + bpad,\n                'text-anchor': 'middle'\n            }\n        });\n\n        _this.layers['c-title'] = Titles.draw(gd, 'c' + titlesuffix, {\n            propContainer: caxis,\n            propName: _this.id + '.caxis.title',\n            placeholder: _(gd, 'Click to enter Component C title'),\n            attributes: {\n                x: _this.x0 + _this.w + bpad,\n                y: _this.y0 + _this.h + caxis.titlefont.size * 0.83 + bpad,\n                'text-anchor': 'middle'\n            }\n        });\n    }\n};\n\nfunction strTickLayout(axLayout) {\n    return axLayout.ticks + String(axLayout.ticklen) + String(axLayout.showticklabels);\n}\n\n\n// hard coded paths for zoom corners\n// uses the same sizing as cartesian, length is MINZOOM/2, width is 3px\nvar CLEN = constants.MINZOOM / 2 + 0.87;\nvar BLPATH = 'm-0.87,.5h' + CLEN + 'v3h-' + (CLEN + 5.2) +\n    'l' + (CLEN / 2 + 2.6) + ',-' + (CLEN * 0.87 + 4.5) +\n    'l2.6,1.5l-' + (CLEN / 2) + ',' + (CLEN * 0.87) + 'Z';\nvar BRPATH = 'm0.87,.5h-' + CLEN + 'v3h' + (CLEN + 5.2) +\n    'l-' + (CLEN / 2 + 2.6) + ',-' + (CLEN * 0.87 + 4.5) +\n    'l-2.6,1.5l' + (CLEN / 2) + ',' + (CLEN * 0.87) + 'Z';\nvar TOPPATH = 'm0,1l' + (CLEN / 2) + ',' + (CLEN * 0.87) +\n    'l2.6,-1.5l-' + (CLEN / 2 + 2.6) + ',-' + (CLEN * 0.87 + 4.5) +\n    'l-' + (CLEN / 2 + 2.6) + ',' + (CLEN * 0.87 + 4.5) +\n    'l2.6,1.5l' + (CLEN / 2) + ',-' + (CLEN * 0.87) + 'Z';\nvar STARTMARKER = 'm0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2Z';\n\n// I guess this could be shared with cartesian... but for now it's separate.\nvar SHOWZOOMOUTTIP = true;\n\nproto.initInteractions = function() {\n    var _this = this,\n        dragger = _this.layers.plotbg.select('path').node(),\n        gd = _this.graphDiv,\n        zoomContainer = gd._fullLayout._zoomlayer;\n\n    // use plotbg for the main interactions\n    var dragOptions = {\n        element: dragger,\n        gd: gd,\n        plotinfo: {\n            id: _this.id,\n            xaxis: _this.xaxis,\n            yaxis: _this.yaxis\n        },\n        subplot: _this.id,\n        prepFn: function(e, startX, startY) {\n            // these aren't available yet when initInteractions\n            // is called\n            dragOptions.xaxes = [_this.xaxis];\n            dragOptions.yaxes = [_this.yaxis];\n            var dragModeNow = gd._fullLayout.dragmode;\n\n            if(dragModeNow === 'lasso') dragOptions.minDrag = 1;\n            else dragOptions.minDrag = undefined;\n\n            if(dragModeNow === 'zoom') {\n                dragOptions.moveFn = zoomMove;\n                dragOptions.clickFn = clickZoomPan;\n                dragOptions.doneFn = zoomDone;\n                zoomPrep(e, startX, startY);\n            }\n            else if(dragModeNow === 'pan') {\n                dragOptions.moveFn = plotDrag;\n                dragOptions.clickFn = clickZoomPan;\n                dragOptions.doneFn = dragDone;\n                panPrep();\n                clearSelect(zoomContainer);\n            }\n            else if(dragModeNow === 'select' || dragModeNow === 'lasso') {\n                prepSelect(e, startX, startY, dragOptions, dragModeNow);\n            }\n        }\n    };\n\n    var x0, y0, mins0, span0, mins, lum, path0, dimmed, zb, corners;\n\n    function clickZoomPan(numClicks, evt) {\n        var clickMode = gd._fullLayout.clickmode;\n\n        removeZoombox(gd);\n\n        if(numClicks === 2) {\n            var attrs = {};\n            attrs[_this.id + '.aaxis.min'] = 0;\n            attrs[_this.id + '.baxis.min'] = 0;\n            attrs[_this.id + '.caxis.min'] = 0;\n            gd.emit('plotly_doubleclick', null);\n            Registry.call('relayout', gd, attrs);\n        }\n\n        if(clickMode.indexOf('select') > -1 && numClicks === 1) {\n            selectOnClick(evt, gd, [_this.xaxis], [_this.yaxis], _this.id, dragOptions);\n        }\n\n        if(clickMode.indexOf('event') > -1) {\n            Fx.click(gd, evt, _this.id);\n        }\n    }\n\n    function zoomPrep(e, startX, startY) {\n        var dragBBox = dragger.getBoundingClientRect();\n        x0 = startX - dragBBox.left;\n        y0 = startY - dragBBox.top;\n        mins0 = {\n            a: _this.aaxis.range[0],\n            b: _this.baxis.range[1],\n            c: _this.caxis.range[1]\n        };\n        mins = mins0;\n        span0 = _this.aaxis.range[1] - mins0.a;\n        lum = tinycolor(_this.graphDiv._fullLayout[_this.id].bgcolor).getLuminance();\n        path0 = 'M0,' + _this.h + 'L' + (_this.w / 2) + ', 0L' + _this.w + ',' + _this.h + 'Z';\n        dimmed = false;\n\n        zb = zoomContainer.append('path')\n            .attr('class', 'zoombox')\n            .attr('transform', 'translate(' + _this.x0 + ', ' + _this.y0 + ')')\n            .style({\n                'fill': lum > 0.2 ? 'rgba(0,0,0,0)' : 'rgba(255,255,255,0)',\n                'stroke-width': 0\n            })\n            .attr('d', path0);\n\n        corners = zoomContainer.append('path')\n            .attr('class', 'zoombox-corners')\n            .attr('transform', 'translate(' + _this.x0 + ', ' + _this.y0 + ')')\n            .style({\n                fill: Color.background,\n                stroke: Color.defaultLine,\n                'stroke-width': 1,\n                opacity: 0\n            })\n            .attr('d', 'M0,0Z');\n\n        clearSelect(zoomContainer);\n    }\n\n    function getAFrac(x, y) { return 1 - (y / _this.h); }\n    function getBFrac(x, y) { return 1 - ((x + (_this.h - y) / Math.sqrt(3)) / _this.w); }\n    function getCFrac(x, y) { return ((x - (_this.h - y) / Math.sqrt(3)) / _this.w); }\n\n    function zoomMove(dx0, dy0) {\n        var x1 = x0 + dx0,\n            y1 = y0 + dy0,\n            afrac = Math.max(0, Math.min(1, getAFrac(x0, y0), getAFrac(x1, y1))),\n            bfrac = Math.max(0, Math.min(1, getBFrac(x0, y0), getBFrac(x1, y1))),\n            cfrac = Math.max(0, Math.min(1, getCFrac(x0, y0), getCFrac(x1, y1))),\n            xLeft = ((afrac / 2) + cfrac) * _this.w,\n            xRight = (1 - (afrac / 2) - bfrac) * _this.w,\n            xCenter = (xLeft + xRight) / 2,\n            xSpan = xRight - xLeft,\n            yBottom = (1 - afrac) * _this.h,\n            yTop = yBottom - xSpan / w_over_h;\n\n        if(xSpan < constants.MINZOOM) {\n            mins = mins0;\n            zb.attr('d', path0);\n            corners.attr('d', 'M0,0Z');\n        }\n        else {\n            mins = {\n                a: mins0.a + afrac * span0,\n                b: mins0.b + bfrac * span0,\n                c: mins0.c + cfrac * span0\n            };\n            zb.attr('d', path0 + 'M' + xLeft + ',' + yBottom +\n                'H' + xRight + 'L' + xCenter + ',' + yTop +\n                'L' + xLeft + ',' + yBottom + 'Z');\n            corners.attr('d', 'M' + x0 + ',' + y0 + STARTMARKER +\n                'M' + xLeft + ',' + yBottom + BLPATH +\n                'M' + xRight + ',' + yBottom + BRPATH +\n                'M' + xCenter + ',' + yTop + TOPPATH);\n        }\n\n        if(!dimmed) {\n            zb.transition()\n                .style('fill', lum > 0.2 ? 'rgba(0,0,0,0.4)' :\n                    'rgba(255,255,255,0.3)')\n                .duration(200);\n            corners.transition()\n                .style('opacity', 1)\n                .duration(200);\n            dimmed = true;\n        }\n    }\n\n    function zoomDone() {\n        removeZoombox(gd);\n\n        if(mins === mins0) return;\n\n        var attrs = {};\n        attrs[_this.id + '.aaxis.min'] = mins.a;\n        attrs[_this.id + '.baxis.min'] = mins.b;\n        attrs[_this.id + '.caxis.min'] = mins.c;\n\n        Registry.call('relayout', gd, attrs);\n\n        if(SHOWZOOMOUTTIP && gd.data && gd._context.showTips) {\n            Lib.notifier(_(gd, 'Double-click to zoom back out'), 'long');\n            SHOWZOOMOUTTIP = false;\n        }\n    }\n\n    function panPrep() {\n        mins0 = {\n            a: _this.aaxis.range[0],\n            b: _this.baxis.range[1],\n            c: _this.caxis.range[1]\n        };\n        mins = mins0;\n    }\n\n    function plotDrag(dx, dy) {\n        var dxScaled = dx / _this.xaxis._m,\n            dyScaled = dy / _this.yaxis._m;\n        mins = {\n            a: mins0.a - dyScaled,\n            b: mins0.b + (dxScaled + dyScaled) / 2,\n            c: mins0.c - (dxScaled - dyScaled) / 2\n        };\n        var minsorted = [mins.a, mins.b, mins.c].sort(),\n            minindices = {\n                a: minsorted.indexOf(mins.a),\n                b: minsorted.indexOf(mins.b),\n                c: minsorted.indexOf(mins.c)\n            };\n        if(minsorted[0] < 0) {\n            if(minsorted[1] + minsorted[0] / 2 < 0) {\n                minsorted[2] += minsorted[0] + minsorted[1];\n                minsorted[0] = minsorted[1] = 0;\n            }\n            else {\n                minsorted[2] += minsorted[0] / 2;\n                minsorted[1] += minsorted[0] / 2;\n                minsorted[0] = 0;\n            }\n            mins = {\n                a: minsorted[minindices.a],\n                b: minsorted[minindices.b],\n                c: minsorted[minindices.c]\n            };\n            dy = (mins0.a - mins.a) * _this.yaxis._m;\n            dx = (mins0.c - mins.c - mins0.b + mins.b) * _this.xaxis._m;\n        }\n\n        // move the data (translate, don't redraw)\n        var plotTransform = 'translate(' + (_this.x0 + dx) + ',' + (_this.y0 + dy) + ')';\n        _this.plotContainer.selectAll('.scatterlayer,.maplayer')\n            .attr('transform', plotTransform);\n\n        var plotTransform2 = 'translate(' + -dx + ',' + -dy + ')';\n        _this.clipDefRelative.select('path').attr('transform', plotTransform2);\n\n        // move the ticks\n        _this.aaxis.range = [mins.a, _this.sum - mins.b - mins.c];\n        _this.baxis.range = [_this.sum - mins.a - mins.c, mins.b];\n        _this.caxis.range = [_this.sum - mins.a - mins.b, mins.c];\n\n        _this.drawAxes(false);\n        _this.plotContainer.selectAll('.crisp').classed('crisp', false);\n\n        if(_this._hasClipOnAxisFalse) {\n            _this.plotContainer\n                .select('.scatterlayer').selectAll('.trace')\n                .call(Drawing.hideOutsideRangePoints, _this);\n        }\n    }\n\n    function dragDone() {\n        var attrs = {};\n        attrs[_this.id + '.aaxis.min'] = mins.a;\n        attrs[_this.id + '.baxis.min'] = mins.b;\n        attrs[_this.id + '.caxis.min'] = mins.c;\n\n        Registry.call('relayout', gd, attrs);\n    }\n\n    // finally, set up hover and click\n    // these event handlers must already be set before dragElement.init\n    // so it can stash them and override them.\n    dragger.onmousemove = function(evt) {\n        Fx.hover(gd, evt, _this.id);\n        gd._fullLayout._lasthover = dragger;\n        gd._fullLayout._hoversubplot = _this.id;\n    };\n\n    dragger.onmouseout = function(evt) {\n        if(gd._dragging) return;\n\n        dragElement.unhover(gd, evt);\n    };\n\n    dragElement.init(dragOptions);\n};\n\nfunction removeZoombox(gd) {\n    d3.select(gd)\n        .selectAll('.zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners')\n        .remove();\n}\n\n},{\"../../components/color\":570,\"../../components/dragelement\":592,\"../../components/drawing\":595,\"../../components/fx\":612,\"../../components/titles\":661,\"../../lib\":696,\"../../lib/extend\":685,\"../../registry\":828,\"../cartesian/axes\":745,\"../cartesian/constants\":751,\"../cartesian/select\":763,\"../cartesian/set_convert\":764,\"../plots\":809,\"d3\":148,\"tinycolor2\":514}],828:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Loggers = _dereq_('./lib/loggers');\nvar noop = _dereq_('./lib/noop');\nvar pushUnique = _dereq_('./lib/push_unique');\nvar isPlainObject = _dereq_('./lib/is_plain_object');\nvar ExtendModule = _dereq_('./lib/extend');\n\nvar basePlotAttributes = _dereq_('./plots/attributes');\nvar baseLayoutAttributes = _dereq_('./plots/layout_attributes');\n\nvar extendFlat = ExtendModule.extendFlat;\nvar extendDeepAll = ExtendModule.extendDeepAll;\n\nexports.modules = {};\nexports.allCategories = {};\nexports.allTypes = [];\nexports.subplotsRegistry = {};\nexports.transformsRegistry = {};\nexports.componentsRegistry = {};\nexports.layoutArrayContainers = [];\nexports.layoutArrayRegexes = [];\nexports.traceLayoutAttributes = {};\nexports.localeRegistry = {};\nexports.apiMethodRegistry = {};\n\n/**\n * Top-level register routine, exported as Plotly.register\n *\n * @param {object array or array of objects} _modules :\n *  module object or list of module object to register.\n *\n *  A valid `moduleType: 'trace'` module has fields:\n *  - name {string} : the trace type\n *  - categories {array} : categories associated with this trace type,\n *                         tested with Register.traceIs()\n *  - meta {object} : meta info (mostly for plot-schema)\n *\n *  A valid `moduleType: 'locale'` module has fields:\n *  - name {string} : the locale name. Should be a 2-digit language string ('en', 'de')\n *                    optionally with a country/region code ('en-GB', 'de-CH'). If a country\n *                    code is used but the base language locale has not yet been supplied,\n *                    we will use this locale for the base as well.\n *  - dictionary {object} : the dictionary mapping input strings to localized strings\n *                          generally the keys should be the literal input strings, but\n *                          if default translations are provided you can use any string as a key.\n *  - format {object} : a `d3.locale` format specifier for this locale\n *                      any omitted keys we'll fall back on en-US.\n *\n *  A valid `moduleType: 'transform'` module has fields:\n *  - name {string} : transform name\n *  - transform {function} : default-level transform function\n *  - calcTransform {function} : calc-level transform function\n *  - attributes {object} : transform attributes declarations\n *  - supplyDefaults {function} : attributes default-supply function\n *\n *  A valid `moduleType: 'component'` module has fields:\n *  - name {string} : the component name, used it with Register.getComponentMethod()\n *                    to employ component method.\n *\n *  A valid `moduleType: 'apiMethod'` module has fields:\n *  - name {string} : the api method name.\n *  - fn {function} : the api method called with Register.call();\n *\n */\nexports.register = function register(_modules) {\n    if(!_modules) {\n        throw new Error('No argument passed to Plotly.register.');\n    } else if(_modules && !Array.isArray(_modules)) {\n        _modules = [_modules];\n    }\n\n    for(var i = 0; i < _modules.length; i++) {\n        var newModule = _modules[i];\n\n        if(!newModule) {\n            throw new Error('Invalid module was attempted to be registered!');\n        }\n\n        switch(newModule.moduleType) {\n            case 'trace':\n                registerTraceModule(newModule);\n                break;\n            case 'transform':\n                registerTransformModule(newModule);\n                break;\n            case 'component':\n                registerComponentModule(newModule);\n                break;\n            case 'locale':\n                registerLocale(newModule);\n                break;\n            case 'apiMethod':\n                var name = newModule.name;\n                exports.apiMethodRegistry[name] = newModule.fn;\n                break;\n            default:\n                throw new Error('Invalid module was attempted to be registered!');\n        }\n    }\n};\n\n/**\n * Get registered module using trace object or trace type\n *\n * @param {object||string} trace\n *  trace object with prop 'type' or trace type as a string\n * @return {object}\n *  module object corresponding to trace type\n */\nexports.getModule = function(trace) {\n    var _module = exports.modules[getTraceType(trace)];\n    if(!_module) return false;\n    return _module._module;\n};\n\n/**\n * Determine if this trace type is in a given category\n *\n * @param {object||string} traceType\n *  a trace (object) or trace type (string)\n * @param {string} category\n *  category in question\n * @return {boolean}\n */\nexports.traceIs = function(traceType, category) {\n    traceType = getTraceType(traceType);\n\n    // old plot.ly workspace hack, nothing to see here\n    if(traceType === 'various') return false;\n\n    var _module = exports.modules[traceType];\n\n    if(!_module) {\n        if(traceType && traceType !== 'area') {\n            Loggers.log('Unrecognized trace type ' + traceType + '.');\n        }\n\n        _module = exports.modules[basePlotAttributes.type.dflt];\n    }\n\n    return !!_module.categories[category];\n};\n\n/**\n * Determine if this trace has a transform of the given type and return\n * array of matching indices.\n *\n * @param {object} data\n *  a trace object (member of data or fullData)\n * @param {string} type\n *  type of trace to test\n * @return {array}\n *  array of matching indices. If none found, returns []\n */\nexports.getTransformIndices = function(data, type) {\n    var indices = [];\n    var transforms = data.transforms || [];\n    for(var i = 0; i < transforms.length; i++) {\n        if(transforms[i].type === type) {\n            indices.push(i);\n        }\n    }\n    return indices;\n};\n\n/**\n * Determine if this trace has a transform of the given type\n *\n * @param {object} data\n *  a trace object (member of data or fullData)\n * @param {string} type\n *  type of trace to test\n * @return {boolean}\n */\nexports.hasTransform = function(data, type) {\n    var transforms = data.transforms || [];\n    for(var i = 0; i < transforms.length; i++) {\n        if(transforms[i].type === type) {\n            return true;\n        }\n    }\n    return false;\n};\n\n/**\n * Retrieve component module method. Falls back on noop if either the\n * module or the method is missing, so the result can always be safely called\n *\n * @param {string} name\n *  name of component (as declared in component module)\n * @param {string} method\n *  name of component module method\n * @return {function}\n */\nexports.getComponentMethod = function(name, method) {\n    var _module = exports.componentsRegistry[name];\n\n    if(!_module) return noop;\n    return _module[method] || noop;\n};\n\n/**\n * Call registered api method.\n *\n * @param {string} name : api method name\n * @param {...array} args : arguments passed to api method\n * @return {any} : returns api method output\n */\nexports.call = function() {\n    var name = arguments[0];\n    var args = [].slice.call(arguments, 1);\n    return exports.apiMethodRegistry[name].apply(null, args);\n};\n\nfunction registerTraceModule(_module) {\n    var thisType = _module.name;\n    var categoriesIn = _module.categories;\n    var meta = _module.meta;\n\n    if(exports.modules[thisType]) {\n        Loggers.log('Type ' + thisType + ' already registered');\n        return;\n    }\n\n    if(!exports.subplotsRegistry[_module.basePlotModule.name]) {\n        registerSubplot(_module.basePlotModule);\n    }\n\n    var categoryObj = {};\n    for(var i = 0; i < categoriesIn.length; i++) {\n        categoryObj[categoriesIn[i]] = true;\n        exports.allCategories[categoriesIn[i]] = true;\n    }\n\n    exports.modules[thisType] = {\n        _module: _module,\n        categories: categoryObj\n    };\n\n    if(meta && Object.keys(meta).length) {\n        exports.modules[thisType].meta = meta;\n    }\n\n    exports.allTypes.push(thisType);\n\n    for(var componentName in exports.componentsRegistry) {\n        mergeComponentAttrsToTrace(componentName, thisType);\n    }\n\n    /*\n     * Collect all trace layout attributes in one place for easier lookup later\n     * but don't merge them into the base schema as it would confuse the docs\n     * (at least after https://github.com/plotly/documentation/issues/202 gets done!)\n     */\n    if(_module.layoutAttributes) {\n        extendFlat(exports.traceLayoutAttributes, _module.layoutAttributes);\n    }\n}\n\nfunction registerSubplot(_module) {\n    var plotType = _module.name;\n\n    if(exports.subplotsRegistry[plotType]) {\n        Loggers.log('Plot type ' + plotType + ' already registered.');\n        return;\n    }\n\n    // relayout array handling will look for component module methods with this\n    // name and won't find them because this is a subplot module... but that\n    // should be fine, it will just fall back on redrawing the plot.\n    findArrayRegexps(_module);\n\n    // not sure what's best for the 'cartesian' type at this point\n    exports.subplotsRegistry[plotType] = _module;\n\n    for(var componentName in exports.componentsRegistry) {\n        mergeComponentAttrsToSubplot(componentName, _module.name);\n    }\n}\n\nfunction registerComponentModule(_module) {\n    if(typeof _module.name !== 'string') {\n        throw new Error('Component module *name* must be a string.');\n    }\n\n    var name = _module.name;\n    exports.componentsRegistry[name] = _module;\n\n    if(_module.layoutAttributes) {\n        if(_module.layoutAttributes._isLinkedToArray) {\n            pushUnique(exports.layoutArrayContainers, name);\n        }\n        findArrayRegexps(_module);\n    }\n\n    for(var traceType in exports.modules) {\n        mergeComponentAttrsToTrace(name, traceType);\n    }\n\n    for(var subplotName in exports.subplotsRegistry) {\n        mergeComponentAttrsToSubplot(name, subplotName);\n    }\n\n    for(var transformType in exports.transformsRegistry) {\n        mergeComponentAttrsToTransform(name, transformType);\n    }\n\n    if(_module.schema && _module.schema.layout) {\n        extendDeepAll(baseLayoutAttributes, _module.schema.layout);\n    }\n}\n\nfunction registerTransformModule(_module) {\n    if(typeof _module.name !== 'string') {\n        throw new Error('Transform module *name* must be a string.');\n    }\n\n    var prefix = 'Transform module ' + _module.name;\n    var hasTransform = typeof _module.transform === 'function';\n    var hasCalcTransform = typeof _module.calcTransform === 'function';\n\n    if(!hasTransform && !hasCalcTransform) {\n        throw new Error(prefix + ' is missing a *transform* or *calcTransform* method.');\n    }\n    if(hasTransform && hasCalcTransform) {\n        Loggers.log([\n            prefix + ' has both a *transform* and *calcTransform* methods.',\n            'Please note that all *transform* methods are executed',\n            'before all *calcTransform* methods.'\n        ].join(' '));\n    }\n    if(!isPlainObject(_module.attributes)) {\n        Loggers.log(prefix + ' registered without an *attributes* object.');\n    }\n    if(typeof _module.supplyDefaults !== 'function') {\n        Loggers.log(prefix + ' registered without a *supplyDefaults* method.');\n    }\n\n    exports.transformsRegistry[_module.name] = _module;\n\n    for(var componentName in exports.componentsRegistry) {\n        mergeComponentAttrsToTransform(componentName, _module.name);\n    }\n}\n\nfunction registerLocale(_module) {\n    var locale = _module.name;\n    var baseLocale = locale.split('-')[0];\n\n    var newDict = _module.dictionary;\n    var newFormat = _module.format;\n    var hasDict = newDict && Object.keys(newDict).length;\n    var hasFormat = newFormat && Object.keys(newFormat).length;\n\n    var locales = exports.localeRegistry;\n\n    var localeObj = locales[locale];\n    if(!localeObj) locales[locale] = localeObj = {};\n\n    // Should we use this dict for the base locale?\n    // In case we're overwriting a previous dict for this locale, check\n    // whether the base matches the full locale dict now. If we're not\n    // overwriting, locales[locale] is undefined so this just checks if\n    // baseLocale already had a dict or not.\n    // Same logic for dateFormats\n    if(baseLocale !== locale) {\n        var baseLocaleObj = locales[baseLocale];\n        if(!baseLocaleObj) locales[baseLocale] = baseLocaleObj = {};\n\n        if(hasDict && baseLocaleObj.dictionary === localeObj.dictionary) {\n            baseLocaleObj.dictionary = newDict;\n        }\n        if(hasFormat && baseLocaleObj.format === localeObj.format) {\n            baseLocaleObj.format = newFormat;\n        }\n    }\n\n    if(hasDict) localeObj.dictionary = newDict;\n    if(hasFormat) localeObj.format = newFormat;\n}\n\nfunction findArrayRegexps(_module) {\n    if(_module.layoutAttributes) {\n        var arrayAttrRegexps = _module.layoutAttributes._arrayAttrRegexps;\n        if(arrayAttrRegexps) {\n            for(var i = 0; i < arrayAttrRegexps.length; i++) {\n                pushUnique(exports.layoutArrayRegexes, arrayAttrRegexps[i]);\n            }\n        }\n    }\n}\n\nfunction mergeComponentAttrsToTrace(componentName, traceType) {\n    var componentSchema = exports.componentsRegistry[componentName].schema;\n    if(!componentSchema || !componentSchema.traces) return;\n\n    var traceAttrs = componentSchema.traces[traceType];\n    if(traceAttrs) {\n        extendDeepAll(exports.modules[traceType]._module.attributes, traceAttrs);\n    }\n}\n\nfunction mergeComponentAttrsToTransform(componentName, transformType) {\n    var componentSchema = exports.componentsRegistry[componentName].schema;\n    if(!componentSchema || !componentSchema.transforms) return;\n\n    var transformAttrs = componentSchema.transforms[transformType];\n    if(transformAttrs) {\n        extendDeepAll(exports.transformsRegistry[transformType].attributes, transformAttrs);\n    }\n}\n\nfunction mergeComponentAttrsToSubplot(componentName, subplotName) {\n    var componentSchema = exports.componentsRegistry[componentName].schema;\n    if(!componentSchema || !componentSchema.subplots) return;\n\n    var subplotModule = exports.subplotsRegistry[subplotName];\n    var subplotAttrs = subplotModule.layoutAttributes;\n    var subplotAttr = subplotModule.attr === 'subplot' ? subplotModule.name : subplotModule.attr;\n    if(Array.isArray(subplotAttr)) subplotAttr = subplotAttr[0];\n\n    var componentLayoutAttrs = componentSchema.subplots[subplotAttr];\n    if(subplotAttrs && componentLayoutAttrs) {\n        extendDeepAll(subplotAttrs, componentLayoutAttrs);\n    }\n}\n\nfunction getTraceType(traceType) {\n    if(typeof traceType === 'object') traceType = traceType.type;\n    return traceType;\n}\n\n},{\"./lib/extend\":685,\"./lib/is_plain_object\":698,\"./lib/loggers\":701,\"./lib/noop\":706,\"./lib/push_unique\":711,\"./plots/attributes\":742,\"./plots/layout_attributes\":800}],829:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\n\nvar extendFlat = Lib.extendFlat;\nvar extendDeep = Lib.extendDeep;\n\n// Put default plotTile layouts here\nfunction cloneLayoutOverride(tileClass) {\n    var override;\n\n    switch(tileClass) {\n        case 'themes__thumb':\n            override = {\n                autosize: true,\n                width: 150,\n                height: 150,\n                title: '',\n                showlegend: false,\n                margin: {l: 5, r: 5, t: 5, b: 5, pad: 0},\n                annotations: []\n            };\n            break;\n\n        case 'thumbnail':\n            override = {\n                title: '',\n                hidesources: true,\n                showlegend: false,\n                borderwidth: 0,\n                bordercolor: '',\n                margin: {l: 1, r: 1, t: 1, b: 1, pad: 0},\n                annotations: []\n            };\n            break;\n\n        default:\n            override = {};\n    }\n\n\n    return override;\n}\n\nfunction keyIsAxis(keyName) {\n    var types = ['xaxis', 'yaxis', 'zaxis'];\n    return (types.indexOf(keyName.slice(0, 5)) > -1);\n}\n\n\nmodule.exports = function clonePlot(graphObj, options) {\n\n    // Polar plot compatibility\n    if(graphObj.framework && graphObj.framework.isPolar) {\n        graphObj = graphObj.framework.getConfig();\n    }\n\n    var i;\n    var oldData = graphObj.data;\n    var oldLayout = graphObj.layout;\n    var newData = extendDeep([], oldData);\n    var newLayout = extendDeep({}, oldLayout, cloneLayoutOverride(options.tileClass));\n    var context = graphObj._context || {};\n\n    if(options.width) newLayout.width = options.width;\n    if(options.height) newLayout.height = options.height;\n\n    if(options.tileClass === 'thumbnail' || options.tileClass === 'themes__thumb') {\n        // kill annotations\n        newLayout.annotations = [];\n        var keys = Object.keys(newLayout);\n\n        for(i = 0; i < keys.length; i++) {\n            if(keyIsAxis(keys[i])) {\n                newLayout[keys[i]].title = '';\n            }\n        }\n\n        // kill colorbar and pie labels\n        for(i = 0; i < newData.length; i++) {\n            var trace = newData[i];\n            trace.showscale = false;\n            if(trace.marker) trace.marker.showscale = false;\n            if(trace.type === 'pie') trace.textposition = 'none';\n        }\n    }\n\n    if(Array.isArray(options.annotations)) {\n        for(i = 0; i < options.annotations.length; i++) {\n            newLayout.annotations.push(options.annotations[i]);\n        }\n    }\n\n    // TODO: does this scene modification really belong here?\n    // If we still need it, can it move into the gl3d module?\n    var sceneIds = Object.keys(newLayout).filter(function(key) {\n        return key.match(/^scene\\d*$/);\n    });\n    if(sceneIds.length) {\n        var axesImageOverride = {};\n        if(options.tileClass === 'thumbnail') {\n            axesImageOverride = {\n                title: '',\n                showaxeslabels: false,\n                showticklabels: false,\n                linetickenable: false\n            };\n        }\n        for(i = 0; i < sceneIds.length; i++) {\n            var scene = newLayout[sceneIds[i]];\n\n            if(!scene.xaxis) {\n                scene.xaxis = {};\n            }\n\n            if(!scene.yaxis) {\n                scene.yaxis = {};\n            }\n\n            if(!scene.zaxis) {\n                scene.zaxis = {};\n            }\n\n            extendFlat(scene.xaxis, axesImageOverride);\n            extendFlat(scene.yaxis, axesImageOverride);\n            extendFlat(scene.zaxis, axesImageOverride);\n\n            // TODO what does this do?\n            scene._scene = null;\n        }\n    }\n\n    var gd = document.createElement('div');\n    if(options.tileClass) gd.className = options.tileClass;\n\n    var plotTile = {\n        gd: gd,\n        td: gd, // for external (image server) compatibility\n        layout: newLayout,\n        data: newData,\n        config: {\n            staticPlot: (options.staticPlot === undefined) ?\n                true :\n                options.staticPlot,\n            plotGlPixelRatio: (options.plotGlPixelRatio === undefined) ?\n                2 :\n                options.plotGlPixelRatio,\n            displaylogo: options.displaylogo || false,\n            showLink: options.showLink || false,\n            showTips: options.showTips || false,\n            mapboxAccessToken: context.mapboxAccessToken\n        }\n    };\n\n    if(options.setBackground !== 'transparent') {\n        plotTile.config.setBackground = options.setBackground || 'opaque';\n    }\n\n    // attaching the default Layout the gd, so you can grab it later\n    plotTile.gd.defaultLayout = cloneLayoutOverride(options.tileClass);\n\n    return plotTile;\n};\n\n},{\"../lib\":696}],830:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar toImage = _dereq_('../plot_api/to_image');\nvar Lib = _dereq_('../lib'); // for isIE\nvar fileSaver = _dereq_('./filesaver');\n\n/** Plotly.downloadImage\n *\n * @param {object | string | HTML div} gd\n *   can either be a data/layout/config object\n *   or an existing graph <div>\n *   or an id to an existing graph <div>\n * @param {object} opts (see ../plot_api/to_image)\n * @return {promise}\n */\nfunction downloadImage(gd, opts) {\n    var _gd;\n    if(!Lib.isPlainObject(gd)) _gd = Lib.getGraphDiv(gd);\n\n    // check for undefined opts\n    opts = opts || {};\n    // default to png\n    opts.format = opts.format || 'png';\n\n    return new Promise(function(resolve, reject) {\n        if(_gd && _gd._snapshotInProgress) {\n            reject(new Error('Snapshotting already in progress.'));\n        }\n\n        // see comments within svgtoimg for additional\n        //   discussion of problems with IE\n        //   can now draw to canvas, but CORS tainted canvas\n        //   does not allow toDataURL\n        //   svg format will work though\n        if(Lib.isIE() && opts.format !== 'svg') {\n            reject(new Error('Sorry IE does not support downloading from canvas. Try {format:\\'svg\\'} instead.'));\n        }\n\n        if(_gd) _gd._snapshotInProgress = true;\n        var promise = toImage(gd, opts);\n\n        var filename = opts.filename || gd.fn || 'newplot';\n        filename += '.' + opts.format;\n\n        promise.then(function(result) {\n            if(_gd) _gd._snapshotInProgress = false;\n            return fileSaver(result, filename);\n        }).then(function(name) {\n            resolve(name);\n        }).catch(function(err) {\n            if(_gd) _gd._snapshotInProgress = false;\n            reject(err);\n        });\n    });\n}\n\nmodule.exports = downloadImage;\n\n},{\"../lib\":696,\"../plot_api/to_image\":738,\"./filesaver\":831}],831:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n/*\n* substantial portions of this code from FileSaver.js\n* https://github.com/eligrey/FileSaver.js\n* License: https://github.com/eligrey/FileSaver.js/blob/master/LICENSE.md\n* FileSaver.js\n* A saveAs() FileSaver implementation.\n* 1.1.20160328\n*\n* By Eli Grey, http://eligrey.com\n* License: MIT\n*   See https://github.com/eligrey/FileSaver.js/blob/master/LICENSE.md\n*/\n\n'use strict';\n\nvar fileSaver = function(url, name) {\n    var saveLink = document.createElement('a');\n    var canUseSaveLink = 'download' in saveLink;\n    var isSafari = /Version\\/[\\d\\.]+.*Safari/.test(navigator.userAgent);\n    var promise = new Promise(function(resolve, reject) {\n        // IE <10 is explicitly unsupported\n        if(typeof navigator !== 'undefined' && /MSIE [1-9]\\./.test(navigator.userAgent)) {\n            reject(new Error('IE < 10 unsupported'));\n        }\n\n        // First try a.download, then web filesystem, then object URLs\n        if(isSafari) {\n            // Safari doesn't allow downloading of blob urls\n            document.location.href = 'data:application/octet-stream' + url.slice(url.search(/[,;]/));\n            resolve(name);\n        }\n\n        if(!name) {\n            name = 'download';\n        }\n\n        if(canUseSaveLink) {\n            saveLink.href = url;\n            saveLink.download = name;\n            document.body.appendChild(saveLink);\n            saveLink.click();\n            document.body.removeChild(saveLink);\n            resolve(name);\n        }\n\n        // IE 10+ (native saveAs)\n        if(typeof navigator !== 'undefined' && navigator.msSaveBlob) {\n            // At this point we are only dealing with a SVG encoded as\n            // a data URL (since IE only supports SVG)\n            var encoded = url.split(/^data:image\\/svg\\+xml,/)[1];\n            var svg = decodeURIComponent(encoded);\n            navigator.msSaveBlob(new Blob([svg]), name);\n            resolve(name);\n        }\n\n        reject(new Error('download error'));\n    });\n\n    return promise;\n};\n\nmodule.exports = fileSaver;\n\n},{}],832:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nexports.getDelay = function(fullLayout) {\n    if(!fullLayout._has) return 0;\n\n    return (\n        fullLayout._has('gl3d') ||\n        fullLayout._has('gl2d') ||\n        fullLayout._has('mapbox')\n    ) ? 500 : 0;\n};\n\nexports.getRedrawFunc = function(gd) {\n    var fullLayout = gd._fullLayout || {};\n    var hasPolar = fullLayout._has && fullLayout._has('polar');\n    var hasLegacyPolar = !hasPolar && gd.data && gd.data[0] && gd.data[0].r;\n\n    // do not work for legacy polar\n    if(hasLegacyPolar) return;\n\n    return function() {\n        (gd.calcdata || []).forEach(function(d) {\n            if(d[0] && d[0].t && d[0].t.cb) d[0].t.cb();\n        });\n    };\n};\n\n},{}],833:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar helpers = _dereq_('./helpers');\n\nvar Snapshot = {\n    getDelay: helpers.getDelay,\n    getRedrawFunc: helpers.getRedrawFunc,\n    clone: _dereq_('./cloneplot'),\n    toSVG: _dereq_('./tosvg'),\n    svgToImg: _dereq_('./svgtoimg'),\n    toImage: _dereq_('./toimage'),\n    downloadImage: _dereq_('./download')\n};\n\nmodule.exports = Snapshot;\n\n},{\"./cloneplot\":829,\"./download\":830,\"./helpers\":832,\"./svgtoimg\":834,\"./toimage\":835,\"./tosvg\":836}],834:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar EventEmitter = _dereq_('events').EventEmitter;\n\nfunction svgToImg(opts) {\n    var ev = opts.emitter || new EventEmitter();\n\n    var promise = new Promise(function(resolve, reject) {\n        var Image = window.Image;\n        var svg = opts.svg;\n        var format = opts.format || 'png';\n\n        // IE only support svg\n        if(Lib.isIE() && format !== 'svg') {\n            var ieSvgError = new Error('Sorry IE does not support downloading from canvas. Try {format:\\'svg\\'} instead.');\n            reject(ieSvgError);\n            // eventually remove the ev\n            //  in favor of promises\n            if(!opts.promise) {\n                return ev.emit('error', ieSvgError);\n            } else {\n                return promise;\n            }\n        }\n\n        var canvas = opts.canvas;\n        var scale = opts.scale || 1;\n        var w0 = opts.width || 300;\n        var h0 = opts.height || 150;\n        var w1 = scale * w0;\n        var h1 = scale * h0;\n\n        var ctx = canvas.getContext('2d');\n        var img = new Image();\n\n        // for Safari support, eliminate createObjectURL\n        //  this decision could cause problems if content\n        //  is not restricted to svg\n        var url = 'data:image/svg+xml,' + encodeURIComponent(svg);\n\n        canvas.width = w1;\n        canvas.height = h1;\n\n        img.onload = function() {\n            var imgData;\n\n            // don't need to draw to canvas if svg\n            //  save some time and also avoid failure on IE\n            if(format !== 'svg') {\n                ctx.drawImage(img, 0, 0, w1, h1);\n            }\n\n            switch(format) {\n                case 'jpeg':\n                    imgData = canvas.toDataURL('image/jpeg');\n                    break;\n                case 'png':\n                    imgData = canvas.toDataURL('image/png');\n                    break;\n                case 'webp':\n                    imgData = canvas.toDataURL('image/webp');\n                    break;\n                case 'svg':\n                    imgData = url;\n                    break;\n                default:\n                    var errorMsg = 'Image format is not jpeg, png, svg or webp.';\n                    reject(new Error(errorMsg));\n                    // eventually remove the ev\n                    //  in favor of promises\n                    if(!opts.promise) {\n                        return ev.emit('error', errorMsg);\n                    }\n            }\n            resolve(imgData);\n            // eventually remove the ev\n            //  in favor of promises\n            if(!opts.promise) {\n                ev.emit('success', imgData);\n            }\n        };\n\n        img.onerror = function(err) {\n            reject(err);\n            // eventually remove the ev\n            //  in favor of promises\n            if(!opts.promise) {\n                return ev.emit('error', err);\n            }\n        };\n\n        img.src = url;\n    });\n\n    // temporary for backward compatibility\n    //  move to only Promise in 2.0.0\n    //  and eliminate the EventEmitter\n    if(opts.promise) {\n        return promise;\n    }\n\n    return ev;\n}\n\nmodule.exports = svgToImg;\n\n},{\"../lib\":696,\"events\":92}],835:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar EventEmitter = _dereq_('events').EventEmitter;\n\nvar Registry = _dereq_('../registry');\nvar Lib = _dereq_('../lib');\n\nvar helpers = _dereq_('./helpers');\nvar clonePlot = _dereq_('./cloneplot');\nvar toSVG = _dereq_('./tosvg');\nvar svgToImg = _dereq_('./svgtoimg');\n\n/**\n * @param {object} gd figure Object\n * @param {object} opts option object\n * @param opts.format 'jpeg' | 'png' | 'webp' | 'svg'\n */\nfunction toImage(gd, opts) {\n\n    // first clone the GD so we can operate in a clean environment\n    var ev = new EventEmitter();\n\n    var clone = clonePlot(gd, {format: 'png'});\n    var clonedGd = clone.gd;\n\n    // put the cloned div somewhere off screen before attaching to DOM\n    clonedGd.style.position = 'absolute';\n    clonedGd.style.left = '-5000px';\n    document.body.appendChild(clonedGd);\n\n    function wait() {\n        var delay = helpers.getDelay(clonedGd._fullLayout);\n\n        setTimeout(function() {\n            var svg = toSVG(clonedGd);\n\n            var canvas = document.createElement('canvas');\n            canvas.id = Lib.randstr();\n\n            ev = svgToImg({\n                format: opts.format,\n                width: clonedGd._fullLayout.width,\n                height: clonedGd._fullLayout.height,\n                canvas: canvas,\n                emitter: ev,\n                svg: svg\n            });\n\n            ev.clean = function() {\n                if(clonedGd) document.body.removeChild(clonedGd);\n            };\n\n        }, delay);\n    }\n\n    var redrawFunc = helpers.getRedrawFunc(clonedGd);\n\n    Registry.call('plot', clonedGd, clone.data, clone.layout, clone.config)\n        .then(redrawFunc)\n        .then(wait)\n        .catch(function(err) {\n            ev.emit('error', err);\n        });\n\n\n    return ev;\n}\n\nmodule.exports = toImage;\n\n},{\"../lib\":696,\"../registry\":828,\"./cloneplot\":829,\"./helpers\":832,\"./svgtoimg\":834,\"./tosvg\":836,\"events\":92}],836:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Lib = _dereq_('../lib');\nvar Drawing = _dereq_('../components/drawing');\nvar Color = _dereq_('../components/color');\n\nvar xmlnsNamespaces = _dereq_('../constants/xmlns_namespaces');\nvar DOUBLEQUOTE_REGEX = /\"/g;\nvar DUMMY_SUB = 'TOBESTRIPPED';\nvar DUMMY_REGEX = new RegExp('(\"' + DUMMY_SUB + ')|(' + DUMMY_SUB + '\")', 'g');\n\nfunction htmlEntityDecode(s) {\n    var hiddenDiv = d3.select('body').append('div').style({display: 'none'}).html('');\n    var replaced = s.replace(/(&[^;]*;)/gi, function(d) {\n        if(d === '&lt;') { return '&#60;'; } // special handling for brackets\n        if(d === '&rt;') { return '&#62;'; }\n        if(d.indexOf('<') !== -1 || d.indexOf('>') !== -1) { return ''; }\n        return hiddenDiv.html(d).text(); // everything else, let the browser decode it to unicode\n    });\n    hiddenDiv.remove();\n    return replaced;\n}\n\nfunction xmlEntityEncode(str) {\n    return str.replace(/&(?!\\w+;|\\#[0-9]+;| \\#x[0-9A-F]+;)/g, '&amp;');\n}\n\nmodule.exports = function toSVG(gd, format, scale) {\n    var fullLayout = gd._fullLayout;\n    var svg = fullLayout._paper;\n    var toppaper = fullLayout._toppaper;\n    var width = fullLayout.width;\n    var height = fullLayout.height;\n    var i;\n\n    // make background color a rect in the svg, then revert after scraping\n    // all other alterations have been dealt with by properly preparing the svg\n    // in the first place... like setting cursors with css classes so we don't\n    // have to remove them, and providing the right namespaces in the svg to\n    // begin with\n    svg.insert('rect', ':first-child')\n        .call(Drawing.setRect, 0, 0, width, height)\n        .call(Color.fill, fullLayout.paper_bgcolor);\n\n    // subplot-specific to-SVG methods\n    // which notably add the contents of the gl-container\n    // into the main svg node\n    var basePlotModules = fullLayout._basePlotModules || [];\n    for(i = 0; i < basePlotModules.length; i++) {\n        var _module = basePlotModules[i];\n\n        if(_module.toSVG) _module.toSVG(gd);\n    }\n\n    // add top items above them assumes everything in toppaper is either\n    // a group or a defs, and if it's empty (like hoverlayer) we can ignore it.\n    if(toppaper) {\n        var nodes = toppaper.node().childNodes;\n\n        // make copy of nodes as childNodes prop gets mutated in loop below\n        var topGroups = Array.prototype.slice.call(nodes);\n\n        for(i = 0; i < topGroups.length; i++) {\n            var topGroup = topGroups[i];\n\n            if(topGroup.childNodes.length) svg.node().appendChild(topGroup);\n        }\n    }\n\n    // remove draglayer for Adobe Illustrator compatibility\n    if(fullLayout._draggers) {\n        fullLayout._draggers.remove();\n    }\n\n    // in case the svg element had an explicit background color, remove this\n    // we want the rect to get the color so it's the right size; svg bg will\n    // fill whatever container it's displayed in regardless of plot size.\n    svg.node().style.background = '';\n\n    svg.selectAll('text')\n        .attr({'data-unformatted': null, 'data-math': null})\n        .each(function() {\n            var txt = d3.select(this);\n\n            // hidden text is pre-formatting mathjax, the browser ignores it\n            // but in a static plot it's useless and it can confuse batik\n            // we've tried to standardize on display:none but make sure we still\n            // catch visibility:hidden if it ever arises\n            if(this.style.visibility === 'hidden' || this.style.display === 'none') {\n                txt.remove();\n                return;\n            }\n            else {\n                // clear other visibility/display values to default\n                // to not potentially confuse non-browser SVG implementations\n                txt.style({visibility: null, display: null});\n            }\n\n            // Font family styles break things because of quotation marks,\n            // so we must remove them *after* the SVG DOM has been serialized\n            // to a string (browsers convert singles back)\n            var ff = this.style.fontFamily;\n            if(ff && ff.indexOf('\"') !== -1) {\n                txt.style('font-family', ff.replace(DOUBLEQUOTE_REGEX, DUMMY_SUB));\n            }\n        });\n\n    svg.selectAll('.point, .scatterpts, .legendfill>path, .legendlines>path, .cbfill').each(function() {\n        var pt = d3.select(this);\n\n        // similar to font family styles above,\n        // we must remove \" after the SVG DOM has been serialized\n        var fill = this.style.fill;\n        if(fill && fill.indexOf('url(') !== -1) {\n            pt.style('fill', fill.replace(DOUBLEQUOTE_REGEX, DUMMY_SUB));\n        }\n\n        var stroke = this.style.stroke;\n        if(stroke && stroke.indexOf('url(') !== -1) {\n            pt.style('stroke', stroke.replace(DOUBLEQUOTE_REGEX, DUMMY_SUB));\n        }\n    });\n\n    if(format === 'pdf' || format === 'eps') {\n        // these formats make the extra line MathJax adds around symbols look super thick in some cases\n        // it looks better if this is removed entirely.\n        svg.selectAll('#MathJax_SVG_glyphs path')\n            .attr('stroke-width', 0);\n    }\n\n    // fix for IE namespacing quirk?\n    // http://stackoverflow.com/questions/19610089/unwanted-namespaces-on-svg-markup-when-using-xmlserializer-in-javascript-with-ie\n    svg.node().setAttributeNS(xmlnsNamespaces.xmlns, 'xmlns', xmlnsNamespaces.svg);\n    svg.node().setAttributeNS(xmlnsNamespaces.xmlns, 'xmlns:xlink', xmlnsNamespaces.xlink);\n\n    if(format === 'svg' && scale) {\n        svg.attr('width', scale * width);\n        svg.attr('height', scale * height);\n        svg.attr('viewBox', '0 0 ' + width + ' ' + height);\n    }\n\n    var s = new window.XMLSerializer().serializeToString(svg.node());\n    s = htmlEntityDecode(s);\n    s = xmlEntityEncode(s);\n\n    // Fix quotations around font strings and gradient URLs\n    s = s.replace(DUMMY_REGEX, '\\'');\n\n    // IE is very strict, so we will need to clean\n    //  svg with the following regex\n    //  yes this is messy, but do not know a better way\n    // Even with this IE will not work due to tainted canvas\n    //  see https://github.com/kangax/fabric.js/issues/1957\n    //      http://stackoverflow.com/questions/18112047/canvas-todataurl-working-in-all-browsers-except-ie10\n    // Leave here just in case the CORS/tainted IE issue gets resolved\n    if(Lib.isIE()) {\n        // replace double quote with single quote\n        s = s.replace(/\"/gi, '\\'');\n        // url in svg are single quoted\n        //   since we changed double to single\n        //   we'll need to change these to double-quoted\n        s = s.replace(/(\\('#)([^']*)('\\))/gi, '(\\\"#$2\\\")');\n        // font names with spaces will be escaped single-quoted\n        //   we'll need to change these to double-quoted\n        s = s.replace(/(\\\\')/gi, '\\\"');\n    }\n\n    return s;\n};\n\n},{\"../components/color\":570,\"../components/drawing\":595,\"../constants/xmlns_namespaces\":674,\"../lib\":696,\"d3\":148}],837:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar mergeArray = _dereq_('../../lib').mergeArray;\n\n\n// arrayOk attributes, merge them into calcdata array\nmodule.exports = function arraysToCalcdata(cd, trace) {\n    for(var i = 0; i < cd.length; i++) cd[i].i = i;\n\n    mergeArray(trace.text, cd, 'tx');\n    mergeArray(trace.hovertext, cd, 'htx');\n\n    var marker = trace.marker;\n    if(marker) {\n        mergeArray(marker.opacity, cd, 'mo');\n        mergeArray(marker.color, cd, 'mc');\n\n        var markerLine = marker.line;\n        if(markerLine) {\n            mergeArray(markerLine.color, cd, 'mlc');\n            mergeArray(markerLine.width, cd, 'mlw');\n        }\n    }\n};\n\n},{\"../../lib\":696}],838:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar colorAttributes = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\nvar fontAttrs = _dereq_('../../plots/font_attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar textFontAttrs = fontAttrs({\n    editType: 'calc',\n    arrayOk: true,\n    \n});\n\nvar scatterMarkerAttrs = scatterAttrs.marker;\nvar scatterMarkerLineAttrs = scatterMarkerAttrs.line;\n\nvar markerLineWidth = extendFlat({},\n    scatterMarkerLineAttrs.width, { dflt: 0 });\n\nvar markerLine = extendFlat({\n    width: markerLineWidth,\n    editType: 'calc'\n}, colorAttributes('marker.line'));\n\nvar marker = extendFlat({\n    line: markerLine,\n    editType: 'calc'\n}, colorAttributes('marker'), {\n    colorbar: colorbarAttrs,\n    opacity: {\n        valType: 'number',\n        arrayOk: true,\n        dflt: 1,\n        min: 0,\n        max: 1,\n        \n        editType: 'style',\n        \n    }\n});\n\nmodule.exports = {\n    x: scatterAttrs.x,\n    x0: scatterAttrs.x0,\n    dx: scatterAttrs.dx,\n    y: scatterAttrs.y,\n    y0: scatterAttrs.y0,\n    dy: scatterAttrs.dy,\n\n    text: scatterAttrs.text,\n    hovertext: scatterAttrs.hovertext,\n\n    textposition: {\n        valType: 'enumerated',\n        \n        values: ['inside', 'outside', 'auto', 'none'],\n        dflt: 'none',\n        arrayOk: true,\n        editType: 'calc',\n        \n    },\n\n    textfont: extendFlat({}, textFontAttrs, {\n        \n    }),\n\n    insidetextfont: extendFlat({}, textFontAttrs, {\n        \n    }),\n\n    outsidetextfont: extendFlat({}, textFontAttrs, {\n        \n    }),\n\n    constraintext: {\n        valType: 'enumerated',\n        values: ['inside', 'outside', 'both', 'none'],\n        \n        dflt: 'both',\n        editType: 'calc',\n        \n    },\n\n    cliponaxis: extendFlat({}, scatterAttrs.cliponaxis, {\n        \n    }),\n\n    orientation: {\n        valType: 'enumerated',\n        \n        values: ['v', 'h'],\n        editType: 'calc+clearAxisTypes',\n        \n    },\n\n    base: {\n        valType: 'any',\n        dflt: null,\n        arrayOk: true,\n        \n        editType: 'calc',\n        \n    },\n\n    offset: {\n        valType: 'number',\n        dflt: null,\n        arrayOk: true,\n        \n        editType: 'calc',\n        \n    },\n\n    width: {\n        valType: 'number',\n        dflt: null,\n        min: 0,\n        arrayOk: true,\n        \n        editType: 'calc',\n        \n    },\n\n    marker: marker,\n\n    selected: {\n        marker: {\n            opacity: scatterAttrs.selected.marker.opacity,\n            color: scatterAttrs.selected.marker.color,\n            editType: 'style'\n        },\n        textfont: scatterAttrs.selected.textfont,\n        editType: 'style'\n    },\n    unselected: {\n        marker: {\n            opacity: scatterAttrs.unselected.marker.opacity,\n            color: scatterAttrs.unselected.marker.color,\n            editType: 'style'\n        },\n        textfont: scatterAttrs.unselected.textfont,\n        editType: 'style'\n    },\n\n    r: scatterAttrs.r,\n    t: scatterAttrs.t,\n\n    _deprecated: {\n        bardir: {\n            valType: 'enumerated',\n            \n            editType: 'calc',\n            values: ['v', 'h'],\n            \n        }\n    }\n};\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plots/font_attributes\":772,\"../scatter/attributes\":1044}],839:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar hasColorscale = _dereq_('../../components/colorscale/has_colorscale');\nvar colorscaleCalc = _dereq_('../../components/colorscale/calc');\nvar arraysToCalcdata = _dereq_('./arrays_to_calcdata');\nvar calcSelection = _dereq_('../scatter/calc_selection');\n\nmodule.exports = function calc(gd, trace) {\n    var xa = Axes.getFromId(gd, trace.xaxis || 'x');\n    var ya = Axes.getFromId(gd, trace.yaxis || 'y');\n    var size, pos;\n\n    if(trace.orientation === 'h') {\n        size = xa.makeCalcdata(trace, 'x');\n        pos = ya.makeCalcdata(trace, 'y');\n    } else {\n        size = ya.makeCalcdata(trace, 'y');\n        pos = xa.makeCalcdata(trace, 'x');\n    }\n\n    // create the \"calculated data\" to plot\n    var serieslen = Math.min(pos.length, size.length);\n    var cd = new Array(serieslen);\n\n    // set position and size\n    for(var i = 0; i < serieslen; i++) {\n        cd[i] = { p: pos[i], s: size[i] };\n\n        if(trace.ids) {\n            cd[i].id = String(trace.ids[i]);\n        }\n    }\n\n    // auto-z and autocolorscale if applicable\n    if(hasColorscale(trace, 'marker')) {\n        colorscaleCalc(trace, trace.marker.color, 'marker', 'c');\n    }\n    if(hasColorscale(trace, 'marker.line')) {\n        colorscaleCalc(trace, trace.marker.line.color, 'marker.line', 'c');\n    }\n\n    arraysToCalcdata(cd, trace);\n    calcSelection(cd, trace);\n\n    return cd;\n};\n\n},{\"../../components/colorscale/calc\":578,\"../../components/colorscale/has_colorscale\":584,\"../../plots/cartesian/axes\":745,\"../scatter/calc_selection\":1046,\"./arrays_to_calcdata\":837}],840:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar isArrayOrTypedArray = _dereq_('../../lib').isArrayOrTypedArray;\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nvar Registry = _dereq_('../../registry');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Sieve = _dereq_('./sieve.js');\n\n/*\n * Bar chart stacking/grouping positioning and autoscaling calculations\n * for each direction separately calculate the ranges and positions\n * note that this handles histograms too\n * now doing this one subplot at a time\n */\n\nfunction crossTraceCalc(gd, plotinfo) {\n    var xa = plotinfo.xaxis,\n        ya = plotinfo.yaxis;\n\n    var fullTraces = gd._fullData,\n        calcTraces = gd.calcdata,\n        calcTracesHorizontal = [],\n        calcTracesVertical = [],\n        i;\n    for(i = 0; i < fullTraces.length; i++) {\n        var fullTrace = fullTraces[i];\n        if(\n            fullTrace.visible === true &&\n            Registry.traceIs(fullTrace, 'bar') &&\n            fullTrace.xaxis === xa._id &&\n            fullTrace.yaxis === ya._id\n        ) {\n            if(fullTrace.orientation === 'h') {\n                calcTracesHorizontal.push(calcTraces[i]);\n            }\n            else {\n                calcTracesVertical.push(calcTraces[i]);\n            }\n        }\n    }\n\n    setGroupPositions(gd, xa, ya, calcTracesVertical);\n    setGroupPositions(gd, ya, xa, calcTracesHorizontal);\n}\n\nfunction setGroupPositions(gd, pa, sa, calcTraces) {\n    if(!calcTraces.length) return;\n\n    var barmode = gd._fullLayout.barmode,\n        overlay = (barmode === 'overlay'),\n        group = (barmode === 'group'),\n        excluded,\n        included,\n        i, calcTrace, fullTrace;\n\n    initBase(gd, pa, sa, calcTraces);\n\n    if(overlay) {\n        setGroupPositionsInOverlayMode(gd, pa, sa, calcTraces);\n    }\n    else if(group) {\n        // exclude from the group those traces for which the user set an offset\n        excluded = [];\n        included = [];\n        for(i = 0; i < calcTraces.length; i++) {\n            calcTrace = calcTraces[i];\n            fullTrace = calcTrace[0].trace;\n\n            if(fullTrace.offset === undefined) included.push(calcTrace);\n            else excluded.push(calcTrace);\n        }\n\n        if(included.length) {\n            setGroupPositionsInGroupMode(gd, pa, sa, included);\n        }\n        if(excluded.length) {\n            setGroupPositionsInOverlayMode(gd, pa, sa, excluded);\n        }\n    }\n    else {\n        // exclude from the stack those traces for which the user set a base\n        excluded = [];\n        included = [];\n        for(i = 0; i < calcTraces.length; i++) {\n            calcTrace = calcTraces[i];\n            fullTrace = calcTrace[0].trace;\n\n            if(fullTrace.base === undefined) included.push(calcTrace);\n            else excluded.push(calcTrace);\n        }\n\n        if(included.length) {\n            setGroupPositionsInStackOrRelativeMode(gd, pa, sa, included);\n        }\n        if(excluded.length) {\n            setGroupPositionsInOverlayMode(gd, pa, sa, excluded);\n        }\n    }\n\n    collectExtents(calcTraces, pa);\n}\n\nfunction initBase(gd, pa, sa, calcTraces) {\n    var i, j;\n\n    for(i = 0; i < calcTraces.length; i++) {\n        var cd = calcTraces[i];\n        var trace = cd[0].trace;\n        var base = trace.base;\n        var b;\n\n        // not sure if it really makes sense to have dates for bar size data...\n        // ideally if we want to make gantt charts or something we'd treat\n        // the actual size (trace.x or y) as time delta but base as absolute\n        // time. But included here for completeness.\n        var scalendar = trace.orientation === 'h' ? trace.xcalendar : trace.ycalendar;\n\n        if(isArrayOrTypedArray(base)) {\n            for(j = 0; j < Math.min(base.length, cd.length); j++) {\n                b = sa.d2c(base[j], 0, scalendar);\n                if(isNumeric(b)) {\n                    cd[j].b = +b;\n                    cd[j].hasB = 1;\n                }\n                else cd[j].b = 0;\n            }\n            for(; j < cd.length; j++) {\n                cd[j].b = 0;\n            }\n        } else {\n            b = sa.d2c(base, 0, scalendar);\n            var hasBase = isNumeric(b);\n            b = hasBase ? b : 0;\n            for(j = 0; j < cd.length; j++) {\n                cd[j].b = b;\n                if(hasBase) cd[j].hasB = 1;\n            }\n        }\n    }\n}\n\n\nfunction setGroupPositionsInOverlayMode(gd, pa, sa, calcTraces) {\n    var barnorm = gd._fullLayout.barnorm,\n        separateNegativeValues = false,\n        dontMergeOverlappingData = !barnorm;\n\n    // update position axis and set bar offsets and widths\n    for(var i = 0; i < calcTraces.length; i++) {\n        var calcTrace = calcTraces[i];\n\n        var sieve = new Sieve(\n            [calcTrace], separateNegativeValues, dontMergeOverlappingData\n        );\n\n        // set bar offsets and widths, and update position axis\n        setOffsetAndWidth(gd, pa, sieve);\n\n        // set bar bases and sizes, and update size axis\n        //\n        // (note that `setGroupPositionsInOverlayMode` handles the case barnorm\n        // is defined, because this function is also invoked for traces that\n        // can't be grouped or stacked)\n        if(barnorm) {\n            sieveBars(gd, sa, sieve);\n            normalizeBars(gd, sa, sieve);\n        }\n        else {\n            setBaseAndTop(gd, sa, sieve);\n        }\n    }\n}\n\n\nfunction setGroupPositionsInGroupMode(gd, pa, sa, calcTraces) {\n    var fullLayout = gd._fullLayout,\n        barnorm = fullLayout.barnorm,\n        separateNegativeValues = false,\n        dontMergeOverlappingData = !barnorm,\n        sieve = new Sieve(\n                calcTraces, separateNegativeValues, dontMergeOverlappingData\n            );\n\n    // set bar offsets and widths, and update position axis\n    setOffsetAndWidthInGroupMode(gd, pa, sieve);\n\n    // set bar bases and sizes, and update size axis\n    if(barnorm) {\n        sieveBars(gd, sa, sieve);\n        normalizeBars(gd, sa, sieve);\n    }\n    else {\n        setBaseAndTop(gd, sa, sieve);\n    }\n}\n\n\nfunction setGroupPositionsInStackOrRelativeMode(gd, pa, sa, calcTraces) {\n    var fullLayout = gd._fullLayout,\n        barmode = fullLayout.barmode,\n        stack = (barmode === 'stack'),\n        relative = (barmode === 'relative'),\n        barnorm = gd._fullLayout.barnorm,\n        separateNegativeValues = relative,\n        dontMergeOverlappingData = !(barnorm || stack || relative),\n        sieve = new Sieve(\n                calcTraces, separateNegativeValues, dontMergeOverlappingData\n            );\n\n    // set bar offsets and widths, and update position axis\n    setOffsetAndWidth(gd, pa, sieve);\n\n    // set bar bases and sizes, and update size axis\n    stackBars(gd, sa, sieve);\n\n    // flag the outmost bar (for text display purposes)\n    for(var i = 0; i < calcTraces.length; i++) {\n        var calcTrace = calcTraces[i];\n\n        for(var j = 0; j < calcTrace.length; j++) {\n            var bar = calcTrace[j];\n\n            if(bar.s === BADNUM) continue;\n\n            var isOutmostBar = ((bar.b + bar.s) === sieve.get(bar.p, bar.s));\n            if(isOutmostBar) bar._outmost = true;\n        }\n    }\n\n    // Note that marking the outmost bars has to be done\n    // before `normalizeBars` changes `bar.b` and `bar.s`.\n    if(barnorm) normalizeBars(gd, sa, sieve);\n}\n\n\nfunction setOffsetAndWidth(gd, pa, sieve) {\n    var fullLayout = gd._fullLayout,\n        bargap = fullLayout.bargap,\n        bargroupgap = fullLayout.bargroupgap || 0,\n        minDiff = sieve.minDiff,\n        calcTraces = sieve.traces,\n        i, calcTrace, calcTrace0,\n        t;\n\n    // set bar offsets and widths\n    var barGroupWidth = minDiff * (1 - bargap),\n        barWidthPlusGap = barGroupWidth,\n        barWidth = barWidthPlusGap * (1 - bargroupgap);\n\n    // computer bar group center and bar offset\n    var offsetFromCenter = -barWidth / 2;\n\n    for(i = 0; i < calcTraces.length; i++) {\n        calcTrace = calcTraces[i];\n        calcTrace0 = calcTrace[0];\n\n        // store bar width and offset for this trace\n        t = calcTrace0.t;\n        t.barwidth = barWidth;\n        t.poffset = offsetFromCenter;\n        t.bargroupwidth = barGroupWidth;\n        t.bardelta = minDiff;\n    }\n\n    // stack bars that only differ by rounding\n    sieve.binWidth = calcTraces[0][0].t.barwidth / 100;\n\n    // if defined, apply trace offset and width\n    applyAttributes(sieve);\n\n    // store the bar center in each calcdata item\n    setBarCenterAndWidth(gd, pa, sieve);\n\n    // update position axes\n    updatePositionAxis(gd, pa, sieve);\n}\n\n\nfunction setOffsetAndWidthInGroupMode(gd, pa, sieve) {\n    var fullLayout = gd._fullLayout,\n        bargap = fullLayout.bargap,\n        bargroupgap = fullLayout.bargroupgap || 0,\n        positions = sieve.positions,\n        distinctPositions = sieve.distinctPositions,\n        minDiff = sieve.minDiff,\n        calcTraces = sieve.traces,\n        i, calcTrace, calcTrace0,\n        t;\n\n    // if there aren't any overlapping positions,\n    // let them have full width even if mode is group\n    var overlap = (positions.length !== distinctPositions.length);\n\n    var nTraces = calcTraces.length,\n        barGroupWidth = minDiff * (1 - bargap),\n        barWidthPlusGap = (overlap) ? barGroupWidth / nTraces : barGroupWidth,\n        barWidth = barWidthPlusGap * (1 - bargroupgap);\n\n    for(i = 0; i < nTraces; i++) {\n        calcTrace = calcTraces[i];\n        calcTrace0 = calcTrace[0];\n\n        // computer bar group center and bar offset\n        var offsetFromCenter = (overlap) ?\n                ((2 * i + 1 - nTraces) * barWidthPlusGap - barWidth) / 2 :\n                -barWidth / 2;\n\n        // store bar width and offset for this trace\n        t = calcTrace0.t;\n        t.barwidth = barWidth;\n        t.poffset = offsetFromCenter;\n        t.bargroupwidth = barGroupWidth;\n        t.bardelta = minDiff;\n    }\n\n    // stack bars that only differ by rounding\n    sieve.binWidth = calcTraces[0][0].t.barwidth / 100;\n\n    // if defined, apply trace width\n    applyAttributes(sieve);\n\n    // store the bar center in each calcdata item\n    setBarCenterAndWidth(gd, pa, sieve);\n\n    // update position axes\n    updatePositionAxis(gd, pa, sieve, overlap);\n}\n\n\nfunction applyAttributes(sieve) {\n    var calcTraces = sieve.traces,\n        i, calcTrace, calcTrace0, fullTrace,\n        j,\n        t;\n\n    for(i = 0; i < calcTraces.length; i++) {\n        calcTrace = calcTraces[i];\n        calcTrace0 = calcTrace[0];\n        fullTrace = calcTrace0.trace;\n        t = calcTrace0.t;\n\n        var offset = fullTrace._offset || fullTrace.offset,\n            initialPoffset = t.poffset,\n            newPoffset;\n\n        if(isArrayOrTypedArray(offset)) {\n            // if offset is an array, then clone it into t.poffset.\n            newPoffset = Array.prototype.slice.call(offset, 0, calcTrace.length);\n\n            // guard against non-numeric items\n            for(j = 0; j < newPoffset.length; j++) {\n                if(!isNumeric(newPoffset[j])) {\n                    newPoffset[j] = initialPoffset;\n                }\n            }\n\n            // if the length of the array is too short,\n            // then extend it with the initial value of t.poffset\n            for(j = newPoffset.length; j < calcTrace.length; j++) {\n                newPoffset.push(initialPoffset);\n            }\n\n            t.poffset = newPoffset;\n        }\n        else if(offset !== undefined) {\n            t.poffset = offset;\n        }\n\n        var width = fullTrace._width || fullTrace.width;\n        var initialBarwidth = t.barwidth;\n\n        if(isArrayOrTypedArray(width)) {\n            // if width is an array, then clone it into t.barwidth.\n            var newBarwidth = Array.prototype.slice.call(width, 0, calcTrace.length);\n\n            // guard against non-numeric items\n            for(j = 0; j < newBarwidth.length; j++) {\n                if(!isNumeric(newBarwidth[j])) newBarwidth[j] = initialBarwidth;\n            }\n\n            // if the length of the array is too short,\n            // then extend it with the initial value of t.barwidth\n            for(j = newBarwidth.length; j < calcTrace.length; j++) {\n                newBarwidth.push(initialBarwidth);\n            }\n\n            t.barwidth = newBarwidth;\n\n            // if user didn't set offset,\n            // then correct t.poffset to ensure bars remain centered\n            if(offset === undefined) {\n                newPoffset = [];\n                for(j = 0; j < calcTrace.length; j++) {\n                    newPoffset.push(\n                        initialPoffset + (initialBarwidth - newBarwidth[j]) / 2\n                    );\n                }\n                t.poffset = newPoffset;\n            }\n        }\n        else if(width !== undefined) {\n            t.barwidth = width;\n\n            // if user didn't set offset,\n            // then correct t.poffset to ensure bars remain centered\n            if(offset === undefined) {\n                t.poffset = initialPoffset + (initialBarwidth - width) / 2;\n            }\n        }\n    }\n}\n\n\nfunction setBarCenterAndWidth(gd, pa, sieve) {\n    var calcTraces = sieve.traces,\n        pLetter = getAxisLetter(pa);\n\n    for(var i = 0; i < calcTraces.length; i++) {\n        var calcTrace = calcTraces[i],\n            t = calcTrace[0].t,\n            poffset = t.poffset,\n            poffsetIsArray = Array.isArray(poffset),\n            barwidth = t.barwidth,\n            barwidthIsArray = Array.isArray(barwidth);\n\n        for(var j = 0; j < calcTrace.length; j++) {\n            var calcBar = calcTrace[j];\n\n            // store the actual bar width and position, for use by hover\n            var width = calcBar.w = (barwidthIsArray) ? barwidth[j] : barwidth;\n            calcBar[pLetter] = calcBar.p +\n                ((poffsetIsArray) ? poffset[j] : poffset) +\n                width / 2;\n\n\n        }\n    }\n}\n\n\nfunction updatePositionAxis(gd, pa, sieve, allowMinDtick) {\n    var calcTraces = sieve.traces,\n        distinctPositions = sieve.distinctPositions,\n        distinctPositions0 = distinctPositions[0],\n        minDiff = sieve.minDiff,\n        vpad = minDiff / 2;\n\n    Axes.minDtick(pa, minDiff, distinctPositions0, allowMinDtick);\n\n    // If the user set the bar width or the offset,\n    // then bars can be shifted away from their positions\n    // and widths can be larger than minDiff.\n    //\n    // Here, we compute pMin and pMax to expand the position axis,\n    // so that all bars are fully within the axis range.\n    var pMin = Math.min.apply(Math, distinctPositions) - vpad,\n        pMax = Math.max.apply(Math, distinctPositions) + vpad;\n\n    for(var i = 0; i < calcTraces.length; i++) {\n        var calcTrace = calcTraces[i],\n            calcTrace0 = calcTrace[0],\n            fullTrace = calcTrace0.trace;\n\n        if(fullTrace.width === undefined && fullTrace.offset === undefined) {\n            continue;\n        }\n\n        var t = calcTrace0.t,\n            poffset = t.poffset,\n            barwidth = t.barwidth,\n            poffsetIsArray = Array.isArray(poffset),\n            barwidthIsArray = Array.isArray(barwidth);\n\n        for(var j = 0; j < calcTrace.length; j++) {\n            var calcBar = calcTrace[j],\n                calcBarOffset = (poffsetIsArray) ? poffset[j] : poffset,\n                calcBarWidth = (barwidthIsArray) ? barwidth[j] : barwidth,\n                p = calcBar.p,\n                l = p + calcBarOffset,\n                r = l + calcBarWidth;\n\n            pMin = Math.min(pMin, l);\n            pMax = Math.max(pMax, r);\n        }\n    }\n\n    var extremes = Axes.findExtremes(pa, [pMin, pMax], {padded: false});\n    putExtremes(calcTraces, pa, extremes);\n}\n\nfunction expandRange(range, newValue) {\n    if(isNumeric(range[0])) range[0] = Math.min(range[0], newValue);\n    else range[0] = newValue;\n\n    if(isNumeric(range[1])) range[1] = Math.max(range[1], newValue);\n    else range[1] = newValue;\n}\n\nfunction setBaseAndTop(gd, sa, sieve) {\n    // store these bar bases and tops in calcdata\n    // and make sure the size axis includes zero,\n    // along with the bases and tops of each bar.\n    var traces = sieve.traces,\n        sLetter = getAxisLetter(sa),\n        sRange = [null, null];\n\n    for(var i = 0; i < traces.length; i++) {\n        var trace = traces[i];\n\n        for(var j = 0; j < trace.length; j++) {\n            var bar = trace[j],\n                barBase = bar.b,\n                barTop = barBase + bar.s;\n\n            bar[sLetter] = barTop;\n\n            if(isNumeric(sa.c2l(barTop))) expandRange(sRange, barTop);\n            if(bar.hasB && isNumeric(sa.c2l(barBase))) expandRange(sRange, barBase);\n        }\n    }\n\n    var extremes = Axes.findExtremes(sa, sRange, {tozero: true, padded: true});\n    putExtremes(traces, sa, extremes);\n}\n\n\nfunction stackBars(gd, sa, sieve) {\n    var fullLayout = gd._fullLayout,\n        barnorm = fullLayout.barnorm,\n        sLetter = getAxisLetter(sa),\n        traces = sieve.traces,\n        i, trace,\n        j, bar;\n\n    var sRange = [null, null];\n\n    for(i = 0; i < traces.length; i++) {\n        trace = traces[i];\n\n        for(j = 0; j < trace.length; j++) {\n            bar = trace[j];\n\n            if(bar.s === BADNUM) continue;\n\n            // stack current bar and get previous sum\n            var barBase = sieve.put(bar.p, bar.b + bar.s),\n                barTop = barBase + bar.b + bar.s;\n\n            // store the bar base and top in each calcdata item\n            bar.b = barBase;\n            bar[sLetter] = barTop;\n\n            if(!barnorm) {\n                if(isNumeric(sa.c2l(barTop))) expandRange(sRange, barTop);\n                if(bar.hasB && isNumeric(sa.c2l(barBase))) expandRange(sRange, barBase);\n            }\n        }\n    }\n\n    // if barnorm is set, let normalizeBars update the axis range\n    if(!barnorm) {\n        var extremes = Axes.findExtremes(sa, sRange, {tozero: true, padded: true});\n        putExtremes(traces, sa, extremes);\n    }\n}\n\n\nfunction sieveBars(gd, sa, sieve) {\n    var traces = sieve.traces;\n\n    for(var i = 0; i < traces.length; i++) {\n        var trace = traces[i];\n\n        for(var j = 0; j < trace.length; j++) {\n            var bar = trace[j];\n\n            if(bar.s !== BADNUM) sieve.put(bar.p, bar.b + bar.s);\n        }\n    }\n}\n\n\nfunction normalizeBars(gd, sa, sieve) {\n    // Note:\n    //\n    // normalizeBars requires that either sieveBars or stackBars has been\n    // previously invoked.\n\n    var traces = sieve.traces,\n        sLetter = getAxisLetter(sa),\n        sTop = (gd._fullLayout.barnorm === 'fraction') ? 1 : 100,\n        sTiny = sTop / 1e9, // in case of rounding error in sum\n        sMin = sa.l2c(sa.c2l(0)),\n        sMax = (gd._fullLayout.barmode === 'stack') ? sTop : sMin,\n        sRange = [sMin, sMax],\n        padded = false;\n\n    function maybeExpand(newValue) {\n        if(isNumeric(sa.c2l(newValue)) &&\n            ((newValue < sMin - sTiny) || (newValue > sMax + sTiny) || !isNumeric(sMin))\n        ) {\n            padded = true;\n            expandRange(sRange, newValue);\n        }\n    }\n\n    for(var i = 0; i < traces.length; i++) {\n        var trace = traces[i];\n\n        for(var j = 0; j < trace.length; j++) {\n            var bar = trace[j];\n\n            if(bar.s === BADNUM) continue;\n\n            var scale = Math.abs(sTop / sieve.get(bar.p, bar.s));\n            bar.b *= scale;\n            bar.s *= scale;\n\n            var barBase = bar.b,\n                barTop = barBase + bar.s;\n            bar[sLetter] = barTop;\n\n            maybeExpand(barTop);\n            if(bar.hasB) maybeExpand(barBase);\n        }\n    }\n\n    // update range of size axis\n    var extremes = Axes.findExtremes(sa, sRange, {tozero: true, padded: padded});\n    putExtremes(traces, sa, extremes);\n}\n\n\nfunction getAxisLetter(ax) {\n    return ax._id.charAt(0);\n}\n\nfunction putExtremes(cd, ax, extremes) {\n    for(var i = 0; i < cd.length; i++) {\n        cd[i][0].trace._extremes[ax._id] = extremes;\n    }\n}\n\n// find the full position span of bars at each position\n// for use by hover, to ensure labels move in if bars are\n// narrower than the space they're in.\n// run once per trace group (subplot & direction) and\n// the same mapping is attached to all calcdata traces\nfunction collectExtents(calcTraces, pa) {\n    var posLetter = pa._id.charAt(0);\n    var extents = {};\n    var pMin = Infinity;\n    var pMax = -Infinity;\n\n    var i, j, cd;\n    for(i = 0; i < calcTraces.length; i++) {\n        cd = calcTraces[i];\n        for(j = 0; j < cd.length; j++) {\n            var p = cd[j].p;\n            if(isNumeric(p)) {\n                pMin = Math.min(pMin, p);\n                pMax = Math.max(pMax, p);\n            }\n        }\n    }\n\n    // this is just for positioning of hover labels, and nobody will care if\n    // the label is 1px too far out; so round positions to 1/10K in case\n    // position values don't exactly match from trace to trace\n    var roundFactor = 10000 / (pMax - pMin);\n    var round = extents.round = function(p) {\n        return String(Math.round(roundFactor * (p - pMin)));\n    };\n\n    var poffset, poffsetIsArray;\n\n    for(i = 0; i < calcTraces.length; i++) {\n        cd = calcTraces[i];\n        cd[0].t.extents = extents;\n        poffset = cd[0].t.poffset;\n        poffsetIsArray = Array.isArray(poffset);\n\n        for(j = 0; j < cd.length; j++) {\n            var di = cd[j];\n            var p0 = di[posLetter] - di.w / 2;\n\n            if(isNumeric(p0)) {\n                var p1 = di[posLetter] + di.w / 2;\n                var pVal = round(di.p);\n                if(extents[pVal]) {\n                    extents[pVal] = [Math.min(p0, extents[pVal][0]), Math.max(p1, extents[pVal][1])];\n                } else {\n                    extents[pVal] = [p0, p1];\n                }\n            }\n\n            di.p0 = di.p + ((poffsetIsArray) ? poffset[j] : poffset);\n            di.p1 = di.p0 + di.w;\n            di.s0 = di.b;\n            di.s1 = di.s0 + di.s;\n        }\n    }\n}\n\nmodule.exports = {\n    crossTraceCalc: crossTraceCalc,\n    setGroupPositions: setGroupPositions\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../../registry\":828,\"./sieve.js\":849,\"fast-isnumeric\":214}],841:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Color = _dereq_('../../components/color');\nvar Registry = _dereq_('../../registry');\n\nvar handleXYDefaults = _dereq_('../scatter/xy_defaults');\nvar handleStyleDefaults = _dereq_('../bar/style_defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var coerceFont = Lib.coerceFont;\n\n    var len = handleXYDefaults(traceIn, traceOut, layout, coerce);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('orientation', (traceOut.x && !traceOut.y) ? 'h' : 'v');\n    coerce('base');\n    coerce('offset');\n    coerce('width');\n\n    coerce('text');\n    coerce('hovertext');\n\n    var textPosition = coerce('textposition');\n\n    var hasBoth = Array.isArray(textPosition) || textPosition === 'auto',\n        hasInside = hasBoth || textPosition === 'inside',\n        hasOutside = hasBoth || textPosition === 'outside';\n\n    if(hasInside || hasOutside) {\n        var textFont = coerceFont(coerce, 'textfont', layout.font);\n\n        // Note that coercing `insidetextfont` is always needed –\n        // even if `textposition` is `outside` for each trace – since\n        // an outside label can become an inside one, for example because\n        // of a bar being stacked on top of it.\n        var insideTextFontDefault = Lib.extendFlat({}, textFont);\n        var isTraceTextfontColorSet = traceIn.textfont && traceIn.textfont.color;\n        var isColorInheritedFromLayoutFont = !isTraceTextfontColorSet;\n        if(isColorInheritedFromLayoutFont) {\n            delete insideTextFontDefault.color;\n        }\n        coerceFont(coerce, 'insidetextfont', insideTextFontDefault);\n\n        if(hasOutside) coerceFont(coerce, 'outsidetextfont', textFont);\n\n        coerce('constraintext');\n        coerce('selected.textfont.color');\n        coerce('unselected.textfont.color');\n        coerce('cliponaxis');\n    }\n\n    handleStyleDefaults(traceIn, traceOut, coerce, defaultColor, layout);\n\n    // override defaultColor for error bars with defaultLine\n    var errorBarsSupplyDefaults = Registry.getComponentMethod('errorbars', 'supplyDefaults');\n    errorBarsSupplyDefaults(traceIn, traceOut, Color.defaultLine, {axis: 'y'});\n    errorBarsSupplyDefaults(traceIn, traceOut, Color.defaultLine, {axis: 'x', inherit: 'y'});\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\n},{\"../../components/color\":570,\"../../lib\":696,\"../../registry\":828,\"../bar/style_defaults\":851,\"../scatter/xy_defaults\":1070,\"./attributes\":838}],842:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar tinycolor = _dereq_('tinycolor2');\n\nexports.coerceString = function(attributeDefinition, value, defaultValue) {\n    if(typeof value === 'string') {\n        if(value || !attributeDefinition.noBlank) return value;\n    }\n    else if(typeof value === 'number') {\n        if(!attributeDefinition.strict) return String(value);\n    }\n\n    return (defaultValue !== undefined) ?\n      defaultValue :\n      attributeDefinition.dflt;\n};\n\nexports.coerceNumber = function(attributeDefinition, value, defaultValue) {\n    if(isNumeric(value)) {\n        value = +value;\n\n        var min = attributeDefinition.min,\n            max = attributeDefinition.max,\n            isOutOfBounds = (min !== undefined && value < min) ||\n              (max !== undefined && value > max);\n\n        if(!isOutOfBounds) return value;\n    }\n\n    return (defaultValue !== undefined) ?\n      defaultValue :\n      attributeDefinition.dflt;\n};\n\nexports.coerceColor = function(attributeDefinition, value, defaultValue) {\n    if(tinycolor(value).isValid()) return value;\n\n    return (defaultValue !== undefined) ?\n      defaultValue :\n      attributeDefinition.dflt;\n};\n\nexports.coerceEnumerated = function(attributeDefinition, value, defaultValue) {\n    if(attributeDefinition.coerceNumber) value = +value;\n\n    if(attributeDefinition.values.indexOf(value) !== -1) return value;\n\n    return (defaultValue !== undefined) ?\n      defaultValue :\n      attributeDefinition.dflt;\n};\n\nexports.getValue = function(arrayOrScalar, index) {\n    var value;\n    if(!Array.isArray(arrayOrScalar)) value = arrayOrScalar;\n    else if(index < arrayOrScalar.length) value = arrayOrScalar[index];\n    return value;\n};\n\n},{\"fast-isnumeric\":214,\"tinycolor2\":514}],843:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Fx = _dereq_('../../components/fx');\nvar Registry = _dereq_('../../registry');\nvar Color = _dereq_('../../components/color');\nvar fillHoverText = _dereq_('../scatter/fill_hover_text');\n\nfunction hoverPoints(pointData, xval, yval, hovermode) {\n    var cd = pointData.cd;\n    var trace = cd[0].trace;\n    var t = cd[0].t;\n    var isClosest = (hovermode === 'closest');\n    var maxHoverDistance = pointData.maxHoverDistance;\n    var maxSpikeDistance = pointData.maxSpikeDistance;\n\n    var posVal, sizeVal, posLetter, sizeLetter, dx, dy, pRangeCalc;\n\n    function thisBarMinPos(di) { return di[posLetter] - di.w / 2; }\n    function thisBarMaxPos(di) { return di[posLetter] + di.w / 2; }\n\n    var minPos = isClosest ?\n        thisBarMinPos :\n        function(di) {\n            /*\n             * In compare mode, accept a bar if you're on it *or* its group.\n             * Nearly always it's the group that matters, but in case the bar\n             * was explicitly set wider than its group we'd better accept the\n             * whole bar.\n             *\n             * use `bardelta` instead of `bargroupwidth` so we accept hover\n             * in the gap. That way hover doesn't flash on and off as you\n             * mouse over the plot in compare modes.\n             * In 'closest' mode though the flashing seems inevitable,\n             * without far more complex logic\n             */\n            return Math.min(thisBarMinPos(di), di.p - t.bardelta / 2);\n        };\n\n    var maxPos = isClosest ?\n        thisBarMaxPos :\n        function(di) {\n            return Math.max(thisBarMaxPos(di), di.p + t.bardelta / 2);\n        };\n\n    function _positionFn(_minPos, _maxPos) {\n        // add a little to the pseudo-distance for wider bars, so that like scatter,\n        // if you are over two overlapping bars, the narrower one wins.\n        return Fx.inbox(_minPos - posVal, _maxPos - posVal,\n            maxHoverDistance + Math.min(1, Math.abs(_maxPos - _minPos) / pRangeCalc) - 1);\n    }\n\n    function positionFn(di) {\n        return _positionFn(minPos(di), maxPos(di));\n    }\n\n    function thisBarPositionFn(di) {\n        return _positionFn(thisBarMinPos(di), thisBarMaxPos(di));\n    }\n\n    function sizeFn(di) {\n        // add a gradient so hovering near the end of a\n        // bar makes it a little closer match\n        return Fx.inbox(di.b - sizeVal, di[sizeLetter] - sizeVal,\n            maxHoverDistance + (di[sizeLetter] - sizeVal) / (di[sizeLetter] - di.b) - 1);\n    }\n\n    if(trace.orientation === 'h') {\n        posVal = yval;\n        sizeVal = xval;\n        posLetter = 'y';\n        sizeLetter = 'x';\n        dx = sizeFn;\n        dy = positionFn;\n    }\n    else {\n        posVal = xval;\n        sizeVal = yval;\n        posLetter = 'x';\n        sizeLetter = 'y';\n        dy = sizeFn;\n        dx = positionFn;\n    }\n\n    var pa = pointData[posLetter + 'a'];\n    var sa = pointData[sizeLetter + 'a'];\n\n    pRangeCalc = Math.abs(pa.r2c(pa.range[1]) - pa.r2c(pa.range[0]));\n\n    function dxy(di) { return (dx(di) + dy(di)) / 2; }\n    var distfn = Fx.getDistanceFunction(hovermode, dx, dy, dxy);\n    Fx.getClosest(cd, distfn, pointData);\n\n    // skip the rest (for this trace) if we didn't find a close point\n    if(pointData.index === false) return;\n\n    // if we get here and we're not in 'closest' mode, push min/max pos back\n    // onto the group - even though that means occasionally the mouse will be\n    // over the hover label.\n    if(!isClosest) {\n        minPos = function(di) {\n            return Math.min(thisBarMinPos(di), di.p - t.bargroupwidth / 2);\n        };\n        maxPos = function(di) {\n            return Math.max(thisBarMaxPos(di), di.p + t.bargroupwidth / 2);\n        };\n    }\n\n    // the closest data point\n    var index = pointData.index;\n    var di = cd[index];\n\n    var size = (trace.base) ? di.b + di.s : di.s;\n    pointData[sizeLetter + '0'] = pointData[sizeLetter + '1'] = sa.c2p(di[sizeLetter], true);\n    pointData[sizeLetter + 'LabelVal'] = size;\n\n    var extent = t.extents[t.extents.round(di.p)];\n    pointData[posLetter + '0'] = pa.c2p(isClosest ? minPos(di) : extent[0], true);\n    pointData[posLetter + '1'] = pa.c2p(isClosest ? maxPos(di) : extent[1], true);\n    pointData[posLetter + 'LabelVal'] = di.p;\n\n    // spikelines always want \"closest\" distance regardless of hovermode\n    pointData.spikeDistance = (sizeFn(di) + thisBarPositionFn(di)) / 2 + maxSpikeDistance - maxHoverDistance;\n    // they also want to point to the data value, regardless of where the label goes\n    // in case of bars shifted within groups\n    pointData[posLetter + 'Spike'] = pa.c2p(di.p, true);\n\n    pointData.color = getTraceColor(trace, di);\n    fillHoverText(di, trace, pointData);\n    Registry.getComponentMethod('errorbars', 'hoverInfo')(di, trace, pointData);\n\n    return [pointData];\n}\n\nfunction getTraceColor(trace, di) {\n    var mc = di.mcc || trace.marker.color;\n    var mlc = di.mlcc || trace.marker.line.color;\n    var mlw = di.mlw || trace.marker.line.width;\n\n    if(Color.opacity(mc)) return mc;\n    else if(Color.opacity(mlc) && mlw) return mlc;\n}\n\nmodule.exports = {\n    hoverPoints: hoverPoints,\n    getTraceColor: getTraceColor\n};\n\n},{\"../../components/color\":570,\"../../components/fx\":612,\"../../registry\":828,\"../scatter/fill_hover_text\":1052}],844:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Bar = {};\n\nBar.attributes = _dereq_('./attributes');\nBar.layoutAttributes = _dereq_('./layout_attributes');\nBar.supplyDefaults = _dereq_('./defaults');\nBar.supplyLayoutDefaults = _dereq_('./layout_defaults');\nBar.calc = _dereq_('./calc');\nBar.crossTraceCalc = _dereq_('./cross_trace_calc').crossTraceCalc;\nBar.colorbar = _dereq_('../scatter/marker_colorbar');\nBar.arraysToCalcdata = _dereq_('./arrays_to_calcdata');\nBar.plot = _dereq_('./plot');\nBar.style = _dereq_('./style').style;\nBar.styleOnSelect = _dereq_('./style').styleOnSelect;\nBar.hoverPoints = _dereq_('./hover').hoverPoints;\nBar.selectPoints = _dereq_('./select');\n\nBar.moduleType = 'trace';\nBar.name = 'bar';\nBar.basePlotModule = _dereq_('../../plots/cartesian');\nBar.categories = ['cartesian', 'svg', 'bar', 'oriented', 'errorBarsOK', 'showLegend', 'zoomScale'];\nBar.meta = {\n    \n};\n\nmodule.exports = Bar;\n\n},{\"../../plots/cartesian\":757,\"../scatter/marker_colorbar\":1062,\"./arrays_to_calcdata\":837,\"./attributes\":838,\"./calc\":839,\"./cross_trace_calc\":840,\"./defaults\":841,\"./hover\":843,\"./layout_attributes\":845,\"./layout_defaults\":846,\"./plot\":847,\"./select\":848,\"./style\":850}],845:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n    barmode: {\n        valType: 'enumerated',\n        values: ['stack', 'group', 'overlay', 'relative'],\n        dflt: 'group',\n        \n        editType: 'calc',\n        \n    },\n    barnorm: {\n        valType: 'enumerated',\n        values: ['', 'fraction', 'percent'],\n        dflt: '',\n        \n        editType: 'calc',\n        \n    },\n    bargap: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        \n        editType: 'calc',\n        \n    },\n    bargroupgap: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        dflt: 0,\n        \n        editType: 'calc',\n        \n    }\n};\n\n},{}],846:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Lib = _dereq_('../../lib');\n\nvar layoutAttributes = _dereq_('./layout_attributes');\n\n\nmodule.exports = function(layoutIn, layoutOut, fullData) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(layoutIn, layoutOut, layoutAttributes, attr, dflt);\n    }\n\n    var hasBars = false,\n        shouldBeGapless = false,\n        gappedAnyway = false,\n        usedSubplots = {};\n\n    for(var i = 0; i < fullData.length; i++) {\n        var trace = fullData[i];\n        if(Registry.traceIs(trace, 'bar') && trace.visible) hasBars = true;\n        else continue;\n\n        // if we have at least 2 grouped bar traces on the same subplot,\n        // we should default to a gap anyway, even if the data is histograms\n        if(layoutIn.barmode !== 'overlay' && layoutIn.barmode !== 'stack') {\n            var subploti = trace.xaxis + trace.yaxis;\n            if(usedSubplots[subploti]) gappedAnyway = true;\n            usedSubplots[subploti] = true;\n        }\n\n        if(trace.visible && trace.type === 'histogram') {\n            var pa = Axes.getFromId({_fullLayout: layoutOut},\n                        trace[trace.orientation === 'v' ? 'xaxis' : 'yaxis']);\n            if(pa.type !== 'category') shouldBeGapless = true;\n        }\n    }\n\n    if(!hasBars) return;\n\n    var mode = coerce('barmode');\n    if(mode !== 'overlay') coerce('barnorm');\n\n    coerce('bargap', (shouldBeGapless && !gappedAnyway) ? 0 : 0.2);\n    coerce('bargroupgap');\n};\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../../registry\":828,\"./layout_attributes\":845}],847:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\n\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\nvar Registry = _dereq_('../../registry');\n\nvar attributes = _dereq_('./attributes'),\n    attributeText = attributes.text,\n    attributeTextPosition = attributes.textposition;\nvar helpers = _dereq_('./helpers');\nvar style = _dereq_('./style');\n\n// padding in pixels around text\nvar TEXTPAD = 3;\n\nmodule.exports = function plot(gd, plotinfo, cdbar, barLayer) {\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n    var fullLayout = gd._fullLayout;\n\n    var bartraces = Lib.makeTraceGroups(barLayer, cdbar, 'trace bars').each(function(cd) {\n        var plotGroup = d3.select(this);\n        var cd0 = cd[0];\n        var trace = cd0.trace;\n\n        if(!plotinfo.isRangePlot) cd0.node3 = plotGroup;\n\n        var pointGroup = Lib.ensureSingle(plotGroup, 'g', 'points');\n\n        var bars = pointGroup.selectAll('g.point').data(Lib.identity);\n\n        bars.enter().append('g')\n            .classed('point', true);\n\n        bars.exit().remove();\n\n        bars.each(function(di, i) {\n            var bar = d3.select(this);\n\n            // now display the bar\n            // clipped xf/yf (2nd arg true): non-positive\n            // log values go off-screen by plotwidth\n            // so you see them continue if you drag the plot\n            var x0, x1, y0, y1;\n            if(trace.orientation === 'h') {\n                y0 = ya.c2p(di.p0, true);\n                y1 = ya.c2p(di.p1, true);\n                x0 = xa.c2p(di.s0, true);\n                x1 = xa.c2p(di.s1, true);\n\n                // for selections\n                di.ct = [x1, (y0 + y1) / 2];\n            }\n            else {\n                x0 = xa.c2p(di.p0, true);\n                x1 = xa.c2p(di.p1, true);\n                y0 = ya.c2p(di.s0, true);\n                y1 = ya.c2p(di.s1, true);\n\n                // for selections\n                di.ct = [(x0 + x1) / 2, y1];\n            }\n\n            if(!isNumeric(x0) || !isNumeric(x1) ||\n                    !isNumeric(y0) || !isNumeric(y1) ||\n                    x0 === x1 || y0 === y1) {\n                bar.remove();\n                return;\n            }\n\n            var lw = (di.mlw + 1 || trace.marker.line.width + 1 ||\n                    (di.trace ? di.trace.marker.line.width : 0) + 1) - 1,\n                offset = d3.round((lw / 2) % 1, 2);\n\n            function roundWithLine(v) {\n                // if there are explicit gaps, don't round,\n                // it can make the gaps look crappy\n                return (fullLayout.bargap === 0 && fullLayout.bargroupgap === 0) ?\n                    d3.round(Math.round(v) - offset, 2) : v;\n            }\n\n            function expandToVisible(v, vc) {\n                // if it's not in danger of disappearing entirely,\n                // round more precisely\n                return Math.abs(v - vc) >= 2 ? roundWithLine(v) :\n                // but if it's very thin, expand it so it's\n                // necessarily visible, even if it might overlap\n                // its neighbor\n                (v > vc ? Math.ceil(v) : Math.floor(v));\n            }\n\n            if(!gd._context.staticPlot) {\n                // if bars are not fully opaque or they have a line\n                // around them, round to integer pixels, mainly for\n                // safari so we prevent overlaps from its expansive\n                // pixelation. if the bars ARE fully opaque and have\n                // no line, expand to a full pixel to make sure we\n                // can see them\n                var op = Color.opacity(di.mc || trace.marker.color),\n                    fixpx = (op < 1 || lw > 0.01) ?\n                        roundWithLine : expandToVisible;\n                x0 = fixpx(x0, x1);\n                x1 = fixpx(x1, x0);\n                y0 = fixpx(y0, y1);\n                y1 = fixpx(y1, y0);\n            }\n\n            Lib.ensureSingle(bar, 'path')\n                .style('vector-effect', 'non-scaling-stroke')\n                .attr('d',\n                    'M' + x0 + ',' + y0 + 'V' + y1 + 'H' + x1 + 'V' + y0 + 'Z')\n                .call(Drawing.setClipUrl, plotinfo.layerClipId);\n\n            appendBarText(gd, bar, cd, i, x0, x1, y0, y1);\n\n            if(plotinfo.layerClipId) {\n                Drawing.hideOutsideRangePoint(di, bar.select('text'), xa, ya, trace.xcalendar, trace.ycalendar);\n            }\n        });\n\n        // lastly, clip points groups of `cliponaxis !== false` traces\n        // on `plotinfo._hasClipOnAxisFalse === true` subplots\n        var hasClipOnAxisFalse = cd0.trace.cliponaxis === false;\n        Drawing.setClipUrl(plotGroup, hasClipOnAxisFalse ? null : plotinfo.layerClipId);\n    });\n\n    // error bars are on the top\n    Registry.getComponentMethod('errorbars', 'plot')(bartraces, plotinfo);\n};\n\nfunction appendBarText(gd, bar, calcTrace, i, x0, x1, y0, y1) {\n    var textPosition;\n\n    function appendTextNode(bar, text, textFont) {\n        var textSelection = Lib.ensureSingle(bar, 'text')\n            .text(text)\n            .attr({\n                'class': 'bartext bartext-' + textPosition,\n                transform: '',\n                'text-anchor': 'middle',\n                // prohibit tex interpretation until we can handle\n                // tex and regular text together\n                'data-notex': 1\n            })\n            .call(Drawing.font, textFont)\n            .call(svgTextUtils.convertToTspans, gd);\n\n        return textSelection;\n    }\n\n    // get trace attributes\n    var trace = calcTrace[0].trace,\n        orientation = trace.orientation;\n\n    var text = getText(trace, i);\n    textPosition = getTextPosition(trace, i);\n\n    if(!text || textPosition === 'none') {\n        bar.select('text').remove();\n        return;\n    }\n\n    var layoutFont = gd._fullLayout.font;\n    var barColor = style.getBarColor(calcTrace[i], trace);\n    var insideTextFont = style.getInsideTextFont(trace, i, layoutFont, barColor);\n    var outsideTextFont = style.getOutsideTextFont(trace, i, layoutFont);\n\n    // compute text position\n    var barmode = gd._fullLayout.barmode,\n        inStackMode = (barmode === 'stack'),\n        inRelativeMode = (barmode === 'relative'),\n        inStackOrRelativeMode = inStackMode || inRelativeMode,\n\n        calcBar = calcTrace[i],\n        isOutmostBar = !inStackOrRelativeMode || calcBar._outmost,\n\n        barWidth = Math.abs(x1 - x0) - 2 * TEXTPAD,  // padding excluded\n        barHeight = Math.abs(y1 - y0) - 2 * TEXTPAD,  // padding excluded\n\n        textSelection,\n        textBB,\n        textWidth,\n        textHeight;\n\n    if(textPosition === 'outside') {\n        if(!isOutmostBar && !calcBar.hasB) textPosition = 'inside';\n    }\n\n    if(textPosition === 'auto') {\n        if(isOutmostBar) {\n            // draw text using insideTextFont and check if it fits inside bar\n            textPosition = 'inside';\n            textSelection = appendTextNode(bar, text, insideTextFont);\n\n            textBB = Drawing.bBox(textSelection.node()),\n            textWidth = textBB.width,\n            textHeight = textBB.height;\n\n            var textHasSize = (textWidth > 0 && textHeight > 0),\n                fitsInside =\n                    (textWidth <= barWidth && textHeight <= barHeight),\n                fitsInsideIfRotated =\n                    (textWidth <= barHeight && textHeight <= barWidth),\n                fitsInsideIfShrunk = (orientation === 'h') ?\n                    (barWidth >= textWidth * (barHeight / textHeight)) :\n                    (barHeight >= textHeight * (barWidth / textWidth));\n            if(textHasSize &&\n                    (fitsInside || fitsInsideIfRotated || fitsInsideIfShrunk)) {\n                textPosition = 'inside';\n            }\n            else {\n                textPosition = 'outside';\n                textSelection.remove();\n                textSelection = null;\n            }\n        }\n        else textPosition = 'inside';\n    }\n\n    if(!textSelection) {\n        textSelection = appendTextNode(bar, text,\n                (textPosition === 'outside') ?\n                outsideTextFont : insideTextFont);\n\n        textBB = Drawing.bBox(textSelection.node()),\n        textWidth = textBB.width,\n        textHeight = textBB.height;\n\n        if(textWidth <= 0 || textHeight <= 0) {\n            textSelection.remove();\n            return;\n        }\n    }\n\n    // compute text transform\n    var transform, constrained;\n    if(textPosition === 'outside') {\n        constrained = trace.constraintext === 'both' || trace.constraintext === 'outside';\n        transform = getTransformToMoveOutsideBar(x0, x1, y0, y1, textBB,\n            orientation, constrained);\n    }\n    else {\n        constrained = trace.constraintext === 'both' || trace.constraintext === 'inside';\n        transform = getTransformToMoveInsideBar(x0, x1, y0, y1, textBB,\n            orientation, constrained);\n    }\n\n    textSelection.attr('transform', transform);\n}\n\nfunction getTransformToMoveInsideBar(x0, x1, y0, y1, textBB, orientation, constrained) {\n    // compute text and target positions\n    var textWidth = textBB.width,\n        textHeight = textBB.height,\n        textX = (textBB.left + textBB.right) / 2,\n        textY = (textBB.top + textBB.bottom) / 2,\n        barWidth = Math.abs(x1 - x0),\n        barHeight = Math.abs(y1 - y0),\n        targetWidth,\n        targetHeight,\n        targetX,\n        targetY;\n\n    // apply text padding\n    var textpad;\n    if(barWidth > (2 * TEXTPAD) && barHeight > (2 * TEXTPAD)) {\n        textpad = TEXTPAD;\n        barWidth -= 2 * textpad;\n        barHeight -= 2 * textpad;\n    }\n    else textpad = 0;\n\n    // compute rotation and scale\n    var rotate,\n        scale;\n\n    if(textWidth <= barWidth && textHeight <= barHeight) {\n        // no scale or rotation is required\n        rotate = false;\n        scale = 1;\n    }\n    else if(textWidth <= barHeight && textHeight <= barWidth) {\n        // only rotation is required\n        rotate = true;\n        scale = 1;\n    }\n    else if((textWidth < textHeight) === (barWidth < barHeight)) {\n        // only scale is required\n        rotate = false;\n        scale = constrained ? Math.min(barWidth / textWidth, barHeight / textHeight) : 1;\n    }\n    else {\n        // both scale and rotation are required\n        rotate = true;\n        scale = constrained ? Math.min(barHeight / textWidth, barWidth / textHeight) : 1;\n    }\n\n    if(rotate) rotate = 90;  // rotate clockwise\n\n    // compute text and target positions\n    if(rotate) {\n        targetWidth = scale * textHeight;\n        targetHeight = scale * textWidth;\n    }\n    else {\n        targetWidth = scale * textWidth;\n        targetHeight = scale * textHeight;\n    }\n\n    if(orientation === 'h') {\n        if(x1 < x0) {\n            // bar end is on the left hand side\n            targetX = x1 + textpad + targetWidth / 2;\n            targetY = (y0 + y1) / 2;\n        }\n        else {\n            targetX = x1 - textpad - targetWidth / 2;\n            targetY = (y0 + y1) / 2;\n        }\n    }\n    else {\n        if(y1 > y0) {\n            // bar end is on the bottom\n            targetX = (x0 + x1) / 2;\n            targetY = y1 - textpad - targetHeight / 2;\n        }\n        else {\n            targetX = (x0 + x1) / 2;\n            targetY = y1 + textpad + targetHeight / 2;\n        }\n    }\n\n    return getTransform(textX, textY, targetX, targetY, scale, rotate);\n}\n\nfunction getTransformToMoveOutsideBar(x0, x1, y0, y1, textBB, orientation, constrained) {\n    var barWidth = (orientation === 'h') ?\n            Math.abs(y1 - y0) :\n            Math.abs(x1 - x0),\n        textpad;\n\n    // Keep the padding so the text doesn't sit right against\n    // the bars, but don't factor it into barWidth\n    if(barWidth > 2 * TEXTPAD) {\n        textpad = TEXTPAD;\n    }\n\n    // compute rotation and scale\n    var scale = 1;\n    if(constrained) {\n        scale = (orientation === 'h') ?\n            Math.min(1, barWidth / textBB.height) :\n            Math.min(1, barWidth / textBB.width);\n    }\n\n    // compute text and target positions\n    var textX = (textBB.left + textBB.right) / 2,\n        textY = (textBB.top + textBB.bottom) / 2,\n        targetWidth,\n        targetHeight,\n        targetX,\n        targetY;\n\n    targetWidth = scale * textBB.width;\n    targetHeight = scale * textBB.height;\n\n    if(orientation === 'h') {\n        if(x1 < x0) {\n            // bar end is on the left hand side\n            targetX = x1 - textpad - targetWidth / 2;\n            targetY = (y0 + y1) / 2;\n        }\n        else {\n            targetX = x1 + textpad + targetWidth / 2;\n            targetY = (y0 + y1) / 2;\n        }\n    }\n    else {\n        if(y1 > y0) {\n            // bar end is on the bottom\n            targetX = (x0 + x1) / 2;\n            targetY = y1 + textpad + targetHeight / 2;\n        }\n        else {\n            targetX = (x0 + x1) / 2;\n            targetY = y1 - textpad - targetHeight / 2;\n        }\n    }\n\n    return getTransform(textX, textY, targetX, targetY, scale, false);\n}\n\nfunction getTransform(textX, textY, targetX, targetY, scale, rotate) {\n    var transformScale,\n        transformRotate,\n        transformTranslate;\n\n    if(scale < 1) transformScale = 'scale(' + scale + ') ';\n    else {\n        scale = 1;\n        transformScale = '';\n    }\n\n    transformRotate = (rotate) ?\n        'rotate(' + rotate + ' ' + textX + ' ' + textY + ') ' : '';\n\n    // Note that scaling also affects the center of the text box\n    var translateX = (targetX - scale * textX),\n        translateY = (targetY - scale * textY);\n    transformTranslate = 'translate(' + translateX + ' ' + translateY + ')';\n\n    return transformTranslate + transformScale + transformRotate;\n}\n\nfunction getText(trace, index) {\n    var value = helpers.getValue(trace.text, index);\n    return helpers.coerceString(attributeText, value);\n}\n\nfunction getTextPosition(trace, index) {\n    var value = helpers.getValue(trace.textposition, index);\n    return helpers.coerceEnumerated(attributeTextPosition, value);\n}\n\n},{\"../../components/color\":570,\"../../components/drawing\":595,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"../../registry\":828,\"./attributes\":838,\"./helpers\":842,\"./style\":850,\"d3\":148,\"fast-isnumeric\":214}],848:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function selectPoints(searchInfo, selectionTester) {\n    var cd = searchInfo.cd;\n    var xa = searchInfo.xaxis;\n    var ya = searchInfo.yaxis;\n    var selection = [];\n    var i;\n\n    if(selectionTester === false) {\n        // clear selection\n        for(i = 0; i < cd.length; i++) {\n            cd[i].selected = 0;\n        }\n    } else {\n        for(i = 0; i < cd.length; i++) {\n            var di = cd[i];\n\n            if(selectionTester.contains(di.ct, false, i, searchInfo)) {\n                selection.push({\n                    pointNumber: i,\n                    x: xa.c2d(di.x),\n                    y: ya.c2d(di.y)\n                });\n                di.selected = 1;\n            } else {\n                di.selected = 0;\n            }\n        }\n    }\n\n    return selection;\n};\n\n},{}],849:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = Sieve;\n\nvar Lib = _dereq_('../../lib');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\n/**\n * Helper class to sieve data from traces into bins\n *\n * @class\n * @param {Array}   traces\n *                  Array of calculated traces\n * @param {boolean} [separateNegativeValues]\n *                  If true, then split data at the same position into a bar\n *                  for positive values and another for negative values\n * @param {boolean} [dontMergeOverlappingData]\n *                  If true, then don't merge overlapping bars into a single bar\n */\nfunction Sieve(traces, separateNegativeValues, dontMergeOverlappingData) {\n    this.traces = traces;\n    this.separateNegativeValues = separateNegativeValues;\n    this.dontMergeOverlappingData = dontMergeOverlappingData;\n\n    // for single-bin histograms - see histogram/calc\n    var width1 = Infinity;\n\n    var positions = [];\n    for(var i = 0; i < traces.length; i++) {\n        var trace = traces[i];\n        for(var j = 0; j < trace.length; j++) {\n            var bar = trace[j];\n            if(bar.p !== BADNUM) positions.push(bar.p);\n        }\n        if(trace[0] && trace[0].width1) {\n            width1 = Math.min(trace[0].width1, width1);\n        }\n    }\n    this.positions = positions;\n\n    var dv = Lib.distinctVals(positions);\n    this.distinctPositions = dv.vals;\n    if(dv.vals.length === 1 && width1 !== Infinity) this.minDiff = width1;\n    else this.minDiff = Math.min(dv.minDiff, width1);\n\n    this.binWidth = this.minDiff;\n\n    this.bins = {};\n}\n\n/**\n * Sieve datum\n *\n * @method\n * @param {number} position\n * @param {number} value\n * @returns {number} Previous bin value\n */\nSieve.prototype.put = function put(position, value) {\n    var label = this.getLabel(position, value),\n        oldValue = this.bins[label] || 0;\n\n    this.bins[label] = oldValue + value;\n\n    return oldValue;\n};\n\n/**\n * Get current bin value for a given datum\n *\n * @method\n * @param {number} position  Position of datum\n * @param {number} [value]   Value of datum\n *                           (required if this.separateNegativeValues is true)\n * @returns {number} Current bin value\n */\nSieve.prototype.get = function put(position, value) {\n    var label = this.getLabel(position, value);\n    return this.bins[label] || 0;\n};\n\n/**\n * Get bin label for a given datum\n *\n * @method\n * @param {number} position  Position of datum\n * @param {number} [value]   Value of datum\n *                           (required if this.separateNegativeValues is true)\n * @returns {string} Bin label\n * (prefixed with a 'v' if value is negative and this.separateNegativeValues is\n * true; otherwise prefixed with '^')\n */\nSieve.prototype.getLabel = function getLabel(position, value) {\n    var prefix = (value < 0 && this.separateNegativeValues) ? 'v' : '^',\n        label = (this.dontMergeOverlappingData) ?\n            position :\n            Math.round(position / this.binWidth);\n    return prefix + label;\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696}],850:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\nvar Lib = _dereq_('../../lib');\nvar Registry = _dereq_('../../registry');\n\nvar attributes = _dereq_('./attributes'),\n    attributeTextFont = attributes.textfont,\n    attributeInsideTextFont = attributes.insidetextfont,\n    attributeOutsideTextFont = attributes.outsidetextfont;\nvar helpers = _dereq_('./helpers');\n\nfunction style(gd, cd) {\n    var s = cd ? cd[0].node3 : d3.select(gd).selectAll('g.trace.bars');\n    var barcount = s.size();\n    var fullLayout = gd._fullLayout;\n\n    // trace styling\n    s.style('opacity', function(d) { return d[0].trace.opacity; })\n\n    // for gapless (either stacked or neighboring grouped) bars use\n    // crispEdges to turn off antialiasing so an artificial gap\n    // isn't introduced.\n    .each(function(d) {\n        if((fullLayout.barmode === 'stack' && barcount > 1) ||\n                (fullLayout.bargap === 0 &&\n                 fullLayout.bargroupgap === 0 &&\n                 !d[0].trace.marker.line.width)) {\n            d3.select(this).attr('shape-rendering', 'crispEdges');\n        }\n    });\n\n    s.selectAll('g.points').each(function(d) {\n        var sel = d3.select(this);\n        var trace = d[0].trace;\n        stylePoints(sel, trace, gd);\n    });\n\n    Registry.getComponentMethod('errorbars', 'style')(s);\n}\n\nfunction stylePoints(sel, trace, gd) {\n    var pts = sel.selectAll('path');\n    var txs = sel.selectAll('text');\n\n    Drawing.pointStyle(pts, trace, gd);\n\n    txs.each(function(d) {\n        var tx = d3.select(this);\n        var font = determineFont(tx, d, trace, gd);\n        Drawing.font(tx, font);\n    });\n}\n\nfunction styleOnSelect(gd, cd) {\n    var s = cd[0].node3;\n    var trace = cd[0].trace;\n\n    if(trace.selectedpoints) {\n        stylePointsInSelectionMode(s, trace, gd);\n    } else {\n        stylePoints(s, trace, gd);\n    }\n}\n\nfunction stylePointsInSelectionMode(s, trace, gd) {\n    Drawing.selectedPointStyle(s.selectAll('path'), trace);\n    styleTextInSelectionMode(s.selectAll('text'), trace, gd);\n}\n\nfunction styleTextInSelectionMode(txs, trace, gd) {\n    txs.each(function(d) {\n        var tx = d3.select(this);\n        var font;\n\n        if(d.selected) {\n            font = Lib.extendFlat({}, determineFont(tx, d, trace, gd));\n\n            var selectedFontColor = trace.selected.textfont && trace.selected.textfont.color;\n            if(selectedFontColor) {\n                font.color = selectedFontColor;\n            }\n\n            Drawing.font(tx, font);\n        } else {\n            Drawing.selectedTextStyle(tx, trace);\n        }\n    });\n}\n\nfunction determineFont(tx, d, trace, gd) {\n    var layoutFont = gd._fullLayout.font;\n    var textFont = trace.textfont;\n\n    if(tx.classed('bartext-inside')) {\n        var barColor = getBarColor(d, trace);\n        textFont = getInsideTextFont(trace, d.i, layoutFont, barColor);\n    } else if(tx.classed('bartext-outside')) {\n        textFont = getOutsideTextFont(trace, d.i, layoutFont);\n    }\n\n    return textFont;\n}\n\nfunction getTextFont(trace, index, defaultValue) {\n    return getFontValue(\n      attributeTextFont, trace.textfont, index, defaultValue);\n}\n\nfunction getInsideTextFont(trace, index, layoutFont, barColor) {\n    var defaultFont = getTextFont(trace, index, layoutFont);\n\n    var wouldFallBackToLayoutFont =\n      (trace._input.textfont === undefined || trace._input.textfont.color === undefined) ||\n      (Array.isArray(trace.textfont.color) && trace.textfont.color[index] === undefined);\n    if(wouldFallBackToLayoutFont) {\n        defaultFont = {\n            color: Color.contrast(barColor),\n            family: defaultFont.family,\n            size: defaultFont.size\n        };\n    }\n\n    return getFontValue(\n      attributeInsideTextFont, trace.insidetextfont, index, defaultFont);\n}\n\nfunction getOutsideTextFont(trace, index, layoutFont) {\n    var defaultFont = getTextFont(trace, index, layoutFont);\n    return getFontValue(\n      attributeOutsideTextFont, trace.outsidetextfont, index, defaultFont);\n}\n\nfunction getFontValue(attributeDefinition, attributeValue, index, defaultValue) {\n    attributeValue = attributeValue || {};\n\n    var familyValue = helpers.getValue(attributeValue.family, index),\n        sizeValue = helpers.getValue(attributeValue.size, index),\n        colorValue = helpers.getValue(attributeValue.color, index);\n\n    return {\n        family: helpers.coerceString(\n          attributeDefinition.family, familyValue, defaultValue.family),\n        size: helpers.coerceNumber(\n          attributeDefinition.size, sizeValue, defaultValue.size),\n        color: helpers.coerceColor(\n          attributeDefinition.color, colorValue, defaultValue.color)\n    };\n}\n\nfunction getBarColor(cd, trace) {\n    return cd.mc || trace.marker.color;\n}\n\nmodule.exports = {\n    style: style,\n    styleOnSelect: styleOnSelect,\n    getInsideTextFont: getInsideTextFont,\n    getOutsideTextFont: getOutsideTextFont,\n    getBarColor: getBarColor\n};\n\n},{\"../../components/color\":570,\"../../components/drawing\":595,\"../../lib\":696,\"../../registry\":828,\"./attributes\":838,\"./helpers\":842,\"d3\":148}],851:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Color = _dereq_('../../components/color');\nvar hasColorscale = _dereq_('../../components/colorscale/has_colorscale');\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\n\nmodule.exports = function handleStyleDefaults(traceIn, traceOut, coerce, defaultColor, layout) {\n    coerce('marker.color', defaultColor);\n\n    if(hasColorscale(traceIn, 'marker')) {\n        colorscaleDefaults(\n            traceIn, traceOut, layout, coerce, {prefix: 'marker.', cLetter: 'c'}\n        );\n    }\n\n    coerce('marker.line.color', Color.defaultLine);\n\n    if(hasColorscale(traceIn, 'marker.line')) {\n        colorscaleDefaults(\n            traceIn, traceOut, layout, coerce, {prefix: 'marker.line.', cLetter: 'c'}\n        );\n    }\n\n    coerce('marker.line.width');\n    coerce('marker.opacity');\n    coerce('selected.marker.color');\n    coerce('unselected.marker.color');\n};\n\n},{\"../../components/color\":570,\"../../components/colorscale/defaults\":580,\"../../components/colorscale/has_colorscale\":584}],852:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar scatterPolarAttrs = _dereq_('../scatterpolar/attributes');\nvar barAttrs = _dereq_('../bar/attributes');\n\nmodule.exports = {\n    r: scatterPolarAttrs.r,\n    theta: scatterPolarAttrs.theta,\n    r0: scatterPolarAttrs.r0,\n    dr: scatterPolarAttrs.dr,\n    theta0: scatterPolarAttrs.theta0,\n    dtheta: scatterPolarAttrs.dtheta,\n    thetaunit: scatterPolarAttrs.thetaunit,\n\n    // orientation: {\n    //     valType: 'enumerated',\n    //     \n    //     values: ['radial', 'angular'],\n    //     editType: 'calc+clearAxisTypes',\n    //     \n    // },\n\n    base: extendFlat({}, barAttrs.base, {\n        \n    }),\n    offset: extendFlat({}, barAttrs.offset, {\n        \n    }),\n    width: extendFlat({}, barAttrs.width, {\n        \n    }),\n\n    text: extendFlat({}, barAttrs.text, {\n        \n    }),\n    // hovertext: barAttrs.hovertext,\n\n    // textposition: {},\n    // textfont: {},\n    // insidetextfont: {},\n    // outsidetextfont: {},\n    // constraintext: {},\n    // cliponaxis: extendFlat({}, barAttrs.cliponaxis, {dflt: false}),\n\n    marker: barAttrs.marker,\n\n    hoverinfo: scatterPolarAttrs.hoverinfo,\n\n    selected: barAttrs.selected,\n    unselected: barAttrs.unselected\n\n    // error_x (error_r, error_theta)\n    // error_y\n};\n\n},{\"../../lib/extend\":685,\"../bar/attributes\":838,\"../scatterpolar/attributes\":1106}],853:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar hasColorscale = _dereq_('../../components/colorscale/has_colorscale');\nvar colorscaleCalc = _dereq_('../../components/colorscale/calc');\nvar arraysToCalcdata = _dereq_('../bar/arrays_to_calcdata');\nvar setGroupPositions = _dereq_('../bar/cross_trace_calc').setGroupPositions;\nvar calcSelection = _dereq_('../scatter/calc_selection');\nvar traceIs = _dereq_('../../registry').traceIs;\nvar extendFlat = _dereq_('../../lib').extendFlat;\n\nfunction calc(gd, trace) {\n    var fullLayout = gd._fullLayout;\n    var subplotId = trace.subplot;\n    var radialAxis = fullLayout[subplotId].radialaxis;\n    var angularAxis = fullLayout[subplotId].angularaxis;\n    var rArray = radialAxis.makeCalcdata(trace, 'r');\n    var thetaArray = angularAxis.makeCalcdata(trace, 'theta');\n    var len = trace._length;\n    var cd = new Array(len);\n\n    // 'size' axis variables\n    var sArray = rArray;\n    // 'pos' axis variables\n    var pArray = thetaArray;\n\n    for(var i = 0; i < len; i++) {\n        cd[i] = {p: pArray[i], s: sArray[i]};\n    }\n\n    // convert width and offset in 'c' coordinate,\n    // set 'c' value(s) in trace._width and trace._offset,\n    // to make Bar.crossTraceCalc \"just work\"\n    function d2c(attr) {\n        var val = trace[attr];\n        if(val !== undefined) {\n            trace['_' + attr] = Array.isArray(val) ?\n                angularAxis.makeCalcdata(trace, attr) :\n                angularAxis.d2c(val, trace.thetaunit);\n        }\n    }\n\n    if(angularAxis.type === 'linear') {\n        d2c('width');\n        d2c('offset');\n    }\n\n    if(hasColorscale(trace, 'marker')) {\n        colorscaleCalc(trace, trace.marker.color, 'marker', 'c');\n    }\n    if(hasColorscale(trace, 'marker.line')) {\n        colorscaleCalc(trace, trace.marker.line.color, 'marker.line', 'c');\n    }\n\n    arraysToCalcdata(cd, trace);\n    calcSelection(cd, trace);\n\n    return cd;\n}\n\nfunction crossTraceCalc(gd, polarLayout, subplotId) {\n    var calcdata = gd.calcdata;\n    var barPolarCd = [];\n\n    for(var i = 0; i < calcdata.length; i++) {\n        var cdi = calcdata[i];\n        var trace = cdi[0].trace;\n\n        if(trace.visible === true && traceIs(trace, 'bar') &&\n            trace.subplot === subplotId\n        ) {\n            barPolarCd.push(cdi);\n        }\n    }\n\n    // to make _extremes is filled in correctly so that\n    // polar._subplot.radialAxis can get auotrange'd\n    // TODO clean up!\n    // I think we want to call getAutorange on polar.radialaxis\n    // NOT on polar._subplot.radialAxis\n    var rAxis = extendFlat({}, polarLayout.radialaxis, {_id: 'x'});\n    var aAxis = polarLayout.angularaxis;\n\n    // 'bargap', 'barmode' are in _fullLayout.polar\n    // TODO clean up setGroupPositions API instead\n    var mockGd = {_fullLayout: polarLayout};\n\n    setGroupPositions(mockGd, aAxis, rAxis, barPolarCd);\n}\n\nmodule.exports = {\n    calc: calc,\n    crossTraceCalc: crossTraceCalc\n};\n\n},{\"../../components/colorscale/calc\":578,\"../../components/colorscale/has_colorscale\":584,\"../../lib\":696,\"../../registry\":828,\"../bar/arrays_to_calcdata\":837,\"../bar/cross_trace_calc\":840,\"../scatter/calc_selection\":1046}],854:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar handleRThetaDefaults = _dereq_('../scatterpolar/defaults').handleRThetaDefaults;\nvar handleStyleDefaults = _dereq_('../bar/style_defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var len = handleRThetaDefaults(traceIn, traceOut, layout, coerce);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    // coerce('orientation', (traceOut.theta && !traceOut.r) ? 'angular' : 'radial');\n\n    coerce('thetaunit');\n    coerce('base');\n    coerce('offset');\n    coerce('width');\n\n    coerce('text');\n    // coerce('hovertext');\n\n    // var textPosition = coerce('textposition');\n    // var hasBoth = Array.isArray(textPosition) || textPosition === 'auto';\n    // var hasInside = hasBoth || textPosition === 'inside';\n    // var hasOutside = hasBoth || textPosition === 'outside';\n\n    // if(hasInside || hasOutside) {\n    //     var textFont = coerceFont(coerce, 'textfont', layout.font);\n    //     if(hasInside) coerceFont(coerce, 'insidetextfont', textFont);\n    //     if(hasOutside) coerceFont(coerce, 'outsidetextfont', textFont);\n    //     coerce('constraintext');\n    //     coerce('selected.textfont.color');\n    //     coerce('unselected.textfont.color');\n    //     coerce('cliponaxis');\n    // }\n\n    handleStyleDefaults(traceIn, traceOut, coerce, defaultColor, layout);\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\n},{\"../../lib\":696,\"../bar/style_defaults\":851,\"../scatterpolar/defaults\":1108,\"./attributes\":852}],855:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Fx = _dereq_('../../components/fx');\nvar Lib = _dereq_('../../lib');\nvar getTraceColor = _dereq_('../bar/hover').getTraceColor;\nvar fillHoverText = _dereq_('../scatter/fill_hover_text');\nvar makeHoverPointText = _dereq_('../scatterpolar/hover').makeHoverPointText;\nvar isPtInsidePolygon = _dereq_('../../plots/polar/helpers').isPtInsidePolygon;\n\nmodule.exports = function hoverPoints(pointData, xval, yval) {\n    var cd = pointData.cd;\n    var trace = cd[0].trace;\n\n    var subplot = pointData.subplot;\n    var radialAxis = subplot.radialAxis;\n    var angularAxis = subplot.angularAxis;\n    var vangles = subplot.vangles;\n    var inboxFn = vangles ? isPtInsidePolygon : Lib.isPtInsideSector;\n    var maxHoverDistance = pointData.maxHoverDistance;\n    var period = angularAxis._period || 2 * Math.PI;\n\n    var rVal = Math.abs(radialAxis.g2p(Math.sqrt(xval * xval + yval * yval)));\n    var thetaVal = Math.atan2(yval, xval);\n\n    // polar.(x|y)axis.p2c doesn't get the reversed radial axis range case right\n    if(radialAxis.range[0] > radialAxis.range[1]) {\n        thetaVal += Math.PI;\n    }\n\n    var distFn = function(di) {\n        if(inboxFn(rVal, thetaVal, [di.rp0, di.rp1], [di.thetag0, di.thetag1], vangles)) {\n            return maxHoverDistance +\n                // add a little to the pseudo-distance for wider bars, so that like scatter,\n                // if you are over two overlapping bars, the narrower one wins.\n                Math.min(1, Math.abs(di.thetag1 - di.thetag0) / period) - 1 +\n                // add a gradient so hovering near the end of a\n                // bar makes it a little closer match\n                (di.rp1 - rVal) / (di.rp1 - di.rp0) - 1;\n        } else {\n            return Infinity;\n        }\n    };\n\n    Fx.getClosest(cd, distFn, pointData);\n    if(pointData.index === false) return;\n\n    var index = pointData.index;\n    var cdi = cd[index];\n\n    pointData.x0 = pointData.x1 = cdi.ct[0];\n    pointData.y0 = pointData.y1 = cdi.ct[1];\n\n    var _cdi = Lib.extendFlat({}, cdi, {r: cdi.s, theta: cdi.p});\n    fillHoverText(cdi, trace, pointData);\n    makeHoverPointText(_cdi, trace, subplot, pointData);\n    pointData.color = getTraceColor(trace, cdi);\n    pointData.xLabelVal = pointData.yLabelVal = undefined;\n\n    if(cdi.s < 0) {\n        pointData.idealAlign = 'left';\n    }\n\n    return [pointData];\n};\n\n},{\"../../components/fx\":612,\"../../lib\":696,\"../../plots/polar/helpers\":811,\"../bar/hover\":843,\"../scatter/fill_hover_text\":1052,\"../scatterpolar/hover\":1109}],856:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    moduleType: 'trace',\n    name: 'barpolar',\n    basePlotModule: _dereq_('../../plots/polar'),\n    categories: ['polar', 'bar', 'showLegend'],\n\n    attributes: _dereq_('./attributes'),\n    layoutAttributes: _dereq_('./layout_attributes'),\n    supplyDefaults: _dereq_('./defaults'),\n    supplyLayoutDefaults: _dereq_('./layout_defaults'),\n\n    calc: _dereq_('./calc').calc,\n    crossTraceCalc: _dereq_('./calc').crossTraceCalc,\n\n    plot: _dereq_('./plot'),\n    colorbar: _dereq_('../scatter/marker_colorbar'),\n    style: _dereq_('../bar/style').style,\n\n    hoverPoints: _dereq_('./hover'),\n    selectPoints: _dereq_('../bar/select'),\n\n    meta: {\n        \n        \n    }\n};\n\n},{\"../../plots/polar\":812,\"../bar/select\":848,\"../bar/style\":850,\"../scatter/marker_colorbar\":1062,\"./attributes\":852,\"./calc\":853,\"./defaults\":854,\"./hover\":855,\"./layout_attributes\":857,\"./layout_defaults\":858,\"./plot\":859}],857:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    barmode: {\n        valType: 'enumerated',\n        values: ['stack', 'overlay'],\n        dflt: 'stack',\n        \n        editType: 'calc',\n        \n    },\n    bargap: {\n        valType: 'number',\n        dflt: 0.1,\n        min: 0,\n        max: 1,\n        \n        editType: 'calc',\n        \n    }\n};\n\n},{}],858:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar attrs = _dereq_('./layout_attributes');\n\nmodule.exports = function(layoutIn, layoutOut, fullData) {\n    var subplotsDone = {};\n    var sp;\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(layoutIn[sp] || {}, layoutOut[sp], attrs, attr, dflt);\n    }\n\n    for(var i = 0; i < fullData.length; i++) {\n        var trace = fullData[i];\n        if(trace.type === 'barpolar' && trace.visible === true) {\n            sp = trace.subplot;\n            if(!subplotsDone[sp]) {\n                coerce('barmode');\n                coerce('bargap');\n                subplotsDone[sp] = 1;\n            }\n        }\n    }\n};\n\n},{\"../../lib\":696,\"./layout_attributes\":857}],859:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\nvar Drawing = _dereq_('../../components/drawing');\nvar helpers = _dereq_('../../plots/polar/helpers');\n\nmodule.exports = function plot(gd, subplot, cdbar) {\n    var xa = subplot.xaxis;\n    var ya = subplot.yaxis;\n    var radialAxis = subplot.radialAxis;\n    var angularAxis = subplot.angularAxis;\n    var pathFn = makePathFn(subplot);\n    var barLayer = subplot.layers.frontplot.select('g.barlayer');\n\n    Lib.makeTraceGroups(barLayer, cdbar, 'trace bars').each(function(cd) {\n        var plotGroup = cd[0].node3 = d3.select(this);\n        var pointGroup = Lib.ensureSingle(plotGroup, 'g', 'points');\n        var bars = pointGroup.selectAll('g.point').data(Lib.identity);\n\n        bars.enter().append('g')\n            .style('vector-effect', 'non-scaling-stroke')\n            .style('stroke-miterlimit', 2)\n            .classed('point', true);\n\n        bars.exit().remove();\n\n        bars.each(function(di) {\n            var bar = d3.select(this);\n\n            var rp0 = di.rp0 = radialAxis.c2p(di.s0);\n            var rp1 = di.rp1 = radialAxis.c2p(di.s1);\n            var thetag0 = di.thetag0 = angularAxis.c2g(di.p0);\n            var thetag1 = di.thetag1 = angularAxis.c2g(di.p1);\n\n            var dPath;\n\n            if(!isNumeric(rp0) || !isNumeric(rp1) ||\n                !isNumeric(thetag0) || !isNumeric(thetag1) ||\n                rp0 === rp1 || thetag0 === thetag1\n            ) {\n                // do not remove blank bars, to keep data-to-node\n                // mapping intact during radial drag, that we\n                // can skip calling _module.style during interactions\n                dPath = 'M0,0Z';\n            } else {\n                // this 'center' pt is used for selections and hover labels\n                var rg1 = radialAxis.c2g(di.s1);\n                var thetagMid = (thetag0 + thetag1) / 2;\n                di.ct = [\n                    xa.c2p(rg1 * Math.cos(thetagMid)),\n                    ya.c2p(rg1 * Math.sin(thetagMid))\n                ];\n\n                dPath = pathFn(rp0, rp1, thetag0, thetag1);\n            }\n\n            Lib.ensureSingle(bar, 'path').attr('d', dPath);\n        });\n\n        // clip plotGroup, when trace layer isn't clipped\n        Drawing.setClipUrl(plotGroup, subplot._hasClipOnAxisFalse ? subplot.clipIds.forTraces : null);\n    });\n};\n\nfunction makePathFn(subplot) {\n    var cxx = subplot.cxx;\n    var cyy = subplot.cyy;\n\n    if(subplot.vangles) {\n        return function(r0, r1, _a0, _a1) {\n            var a0, a1;\n\n            if(Lib.angleDelta(_a0, _a1) > 0) {\n                a0 = _a0;\n                a1 = _a1;\n            } else {\n                a0 = _a1;\n                a1 = _a0;\n            }\n\n            var va0 = helpers.findEnclosingVertexAngles(a0, subplot.vangles)[0];\n            var va1 = helpers.findEnclosingVertexAngles(a1, subplot.vangles)[1];\n            var vaBar = [va0, (a0 + a1) / 2, va1];\n            return helpers.pathPolygonAnnulus(r0, r1, a0, a1, vaBar, cxx, cyy);\n        };\n    }\n\n    return function(r0, r1, a0, a1) {\n        return Lib.pathAnnulus(r0, r1, a0, a1, cxx, cyy);\n    };\n}\n\n},{\"../../components/drawing\":595,\"../../lib\":696,\"../../plots/polar/helpers\":811,\"d3\":148,\"fast-isnumeric\":214}],860:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar colorAttrs = _dereq_('../../components/color/attributes');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar scatterMarkerAttrs = scatterAttrs.marker;\nvar scatterMarkerLineAttrs = scatterMarkerAttrs.line;\n\nmodule.exports = {\n    y: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n    x: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n    x0: {\n        valType: 'any',\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    y0: {\n        valType: 'any',\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    name: {\n        valType: 'string',\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    text: extendFlat({}, scatterAttrs.text, {\n        \n    }),\n    whiskerwidth: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        dflt: 0.5,\n        \n        editType: 'calc',\n        \n    },\n    notched: {\n        valType: 'boolean',\n        \n        editType: 'calc',\n        \n    },\n    notchwidth: {\n        valType: 'number',\n        min: 0,\n        max: 0.5,\n        dflt: 0.25,\n        \n        editType: 'calc',\n        \n    },\n    boxpoints: {\n        valType: 'enumerated',\n        values: ['all', 'outliers', 'suspectedoutliers', false],\n        dflt: 'outliers',\n        \n        editType: 'calc',\n        \n    },\n    boxmean: {\n        valType: 'enumerated',\n        values: [true, 'sd', false],\n        dflt: false,\n        \n        editType: 'calc',\n        \n    },\n    jitter: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        \n        editType: 'calc',\n        \n    },\n    pointpos: {\n        valType: 'number',\n        min: -2,\n        max: 2,\n        \n        editType: 'calc',\n        \n    },\n    orientation: {\n        valType: 'enumerated',\n        values: ['v', 'h'],\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    marker: {\n        outliercolor: {\n            valType: 'color',\n            dflt: 'rgba(0, 0, 0, 0)',\n            \n            editType: 'style',\n            \n        },\n        symbol: extendFlat({}, scatterMarkerAttrs.symbol,\n            {arrayOk: false, editType: 'plot'}),\n        opacity: extendFlat({}, scatterMarkerAttrs.opacity,\n            {arrayOk: false, dflt: 1, editType: 'style'}),\n        size: extendFlat({}, scatterMarkerAttrs.size,\n            {arrayOk: false, editType: 'calc'}),\n        color: extendFlat({}, scatterMarkerAttrs.color,\n            {arrayOk: false, editType: 'style'}),\n        line: {\n            color: extendFlat({}, scatterMarkerLineAttrs.color,\n                {arrayOk: false, dflt: colorAttrs.defaultLine, editType: 'style'}\n            ),\n            width: extendFlat({}, scatterMarkerLineAttrs.width,\n                {arrayOk: false, dflt: 0, editType: 'style'}\n            ),\n            outliercolor: {\n                valType: 'color',\n                \n                editType: 'style',\n                \n            },\n            outlierwidth: {\n                valType: 'number',\n                min: 0,\n                dflt: 1,\n                \n                editType: 'style',\n                \n            },\n            editType: 'style'\n        },\n        editType: 'plot'\n    },\n    line: {\n        color: {\n            valType: 'color',\n            \n            editType: 'style',\n            \n        },\n        width: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 2,\n            editType: 'style',\n            \n        },\n        editType: 'plot'\n    },\n    fillcolor: scatterAttrs.fillcolor,\n\n    selected: {\n        marker: scatterAttrs.selected.marker,\n        editType: 'style'\n    },\n    unselected: {\n        marker: scatterAttrs.unselected.marker,\n        editType: 'style'\n    },\n\n    hoveron: {\n        valType: 'flaglist',\n        flags: ['boxes', 'points'],\n        dflt: 'boxes+points',\n        \n        editType: 'style',\n        \n    }\n};\n\n},{\"../../components/color/attributes\":569,\"../../lib/extend\":685,\"../scatter/attributes\":1044}],861:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\nvar _ = Lib._;\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\n// outlier definition based on http://www.physics.csbsju.edu/stats/box2.html\nmodule.exports = function calc(gd, trace) {\n    var fullLayout = gd._fullLayout;\n    var xa = Axes.getFromId(gd, trace.xaxis || 'x');\n    var ya = Axes.getFromId(gd, trace.yaxis || 'y');\n    var cd = [];\n\n    // N.B. violin reuses same Box.calc\n    var numKey = trace.type === 'violin' ? '_numViolins' : '_numBoxes';\n\n    var i;\n    var valAxis, valLetter;\n    var posAxis, posLetter;\n\n    if(trace.orientation === 'h') {\n        valAxis = xa;\n        valLetter = 'x';\n        posAxis = ya;\n        posLetter = 'y';\n    } else {\n        valAxis = ya;\n        valLetter = 'y';\n        posAxis = xa;\n        posLetter = 'x';\n    }\n\n    var val = valAxis.makeCalcdata(trace, valLetter);\n    var pos = getPos(trace, posLetter, posAxis, val, fullLayout[numKey]);\n\n    var dv = Lib.distinctVals(pos);\n    var posDistinct = dv.vals;\n    var dPos = dv.minDiff / 2;\n    var posBins = makeBins(posDistinct, dPos);\n\n    var pLen = posDistinct.length;\n    var ptsPerBin = initNestedArray(pLen);\n\n    // bin pts info per position bins\n    for(i = 0; i < trace._length; i++) {\n        var v = val[i];\n        if(!isNumeric(v)) continue;\n\n        var n = Lib.findBin(pos[i], posBins);\n        if(n >= 0 && n < pLen) {\n            var pt = {v: v, i: i};\n            arraysToCalcdata(pt, trace, i);\n            ptsPerBin[n].push(pt);\n        }\n    }\n\n    // build calcdata trace items, one item per distinct position\n    for(i = 0; i < pLen; i++) {\n        if(ptsPerBin[i].length > 0) {\n            var pts = ptsPerBin[i].sort(sortByVal);\n            var boxVals = pts.map(extractVal);\n            var bvLen = boxVals.length;\n\n            var cdi = {\n                pos: posDistinct[i],\n                pts: pts\n            };\n\n            cdi.min = boxVals[0];\n            cdi.max = boxVals[bvLen - 1];\n            cdi.mean = Lib.mean(boxVals, bvLen);\n            cdi.sd = Lib.stdev(boxVals, bvLen, cdi.mean);\n\n            // first quartile\n            cdi.q1 = Lib.interp(boxVals, 0.25);\n             // median\n            cdi.med = Lib.interp(boxVals, 0.5);\n            // third quartile\n            cdi.q3 = Lib.interp(boxVals, 0.75);\n\n            // lower and upper fences - last point inside\n            // 1.5 interquartile ranges from quartiles\n            cdi.lf = Math.min(\n                cdi.q1,\n                boxVals[Math.min(\n                    Lib.findBin(2.5 * cdi.q1 - 1.5 * cdi.q3, boxVals, true) + 1,\n                    bvLen - 1\n                )]\n            );\n            cdi.uf = Math.max(\n                cdi.q3,\n                boxVals[Math.max(\n                    Lib.findBin(2.5 * cdi.q3 - 1.5 * cdi.q1, boxVals),\n                    0\n                )]\n            );\n\n            // lower and upper outliers - 3 IQR out (don't clip to max/min,\n            // this is only for discriminating suspected & far outliers)\n            cdi.lo = 4 * cdi.q1 - 3 * cdi.q3;\n            cdi.uo = 4 * cdi.q3 - 3 * cdi.q1;\n\n\n            // lower and upper notches ~95% Confidence Intervals for median\n            var iqr = cdi.q3 - cdi.q1;\n            var mci = 1.57 * iqr / Math.sqrt(bvLen);\n            cdi.ln = cdi.med - mci;\n            cdi.un = cdi.med + mci;\n\n            cd.push(cdi);\n        }\n    }\n\n    calcSelection(cd, trace);\n    var extremes = Axes.findExtremes(valAxis, val, {padded: true});\n    trace._extremes[valAxis._id] = extremes;\n\n    if(cd.length > 0) {\n        cd[0].t = {\n            num: fullLayout[numKey],\n            dPos: dPos,\n            posLetter: posLetter,\n            valLetter: valLetter,\n            labels: {\n                med: _(gd, 'median:'),\n                min: _(gd, 'min:'),\n                q1: _(gd, 'q1:'),\n                q3: _(gd, 'q3:'),\n                max: _(gd, 'max:'),\n                mean: trace.boxmean === 'sd' ? _(gd, 'mean ± σ:') : _(gd, 'mean:'),\n                lf: _(gd, 'lower fence:'),\n                uf: _(gd, 'upper fence:')\n            }\n        };\n\n        fullLayout[numKey]++;\n        return cd;\n    } else {\n        return [{t: {empty: true}}];\n    }\n};\n\n// In vertical (horizontal) box plots:\n// if no x (y) data, use x0 (y0), or name\n// so if you want one box\n// per trace, set x0 (y0) to the x (y) value or category for this trace\n// (or set x (y) to a constant array matching y (x))\nfunction getPos(trace, posLetter, posAxis, val, num) {\n    if(posLetter in trace) {\n        return posAxis.makeCalcdata(trace, posLetter);\n    }\n\n    var pos0;\n\n    if(posLetter + '0' in trace) {\n        pos0 = trace[posLetter + '0'];\n    } else if('name' in trace && (\n        posAxis.type === 'category' || (\n            isNumeric(trace.name) &&\n            ['linear', 'log'].indexOf(posAxis.type) !== -1\n        ) || (\n            Lib.isDateTime(trace.name) &&\n            posAxis.type === 'date'\n        )\n    )) {\n        pos0 = trace.name;\n    } else {\n        pos0 = num;\n    }\n\n    var pos0c = posAxis.d2c(pos0, 0, trace[posLetter + 'calendar']);\n    return val.map(function() { return pos0c; });\n}\n\nfunction makeBins(x, dx) {\n    var len = x.length;\n    var bins = new Array(len + 1);\n\n    for(var i = 0; i < len; i++) {\n        bins[i] = x[i] - dx;\n    }\n    bins[len] = x[len - 1] + dx;\n\n    return bins;\n}\n\nfunction initNestedArray(len) {\n    var arr = new Array(len);\n    for(var i = 0; i < len; i++) {\n        arr[i] = [];\n    }\n    return arr;\n}\n\nfunction arraysToCalcdata(pt, trace, i) {\n    var trace2calc = {\n        text: 'tx'\n    };\n\n    for(var k in trace2calc) {\n        if(Array.isArray(trace[k])) {\n            pt[trace2calc[k]] = trace[k][i];\n        }\n    }\n}\n\nfunction calcSelection(cd, trace) {\n    if(Lib.isArrayOrTypedArray(trace.selectedpoints)) {\n        for(var i = 0; i < cd.length; i++) {\n            var pts = cd[i].pts || [];\n            var ptNumber2cdIndex = {};\n\n            for(var j = 0; j < pts.length; j++) {\n                ptNumber2cdIndex[pts[j].i] = j;\n            }\n\n            Lib.tagSelected(pts, trace, ptNumber2cdIndex);\n        }\n    }\n}\n\nfunction sortByVal(a, b) { return a.v - b.v; }\n\nfunction extractVal(o) { return o.v; }\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"fast-isnumeric\":214}],862:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Lib = _dereq_('../../lib');\n\nvar orientations = ['v', 'h'];\n\nfunction crossTraceCalc(gd, plotinfo) {\n    var calcdata = gd.calcdata;\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n\n    for(var i = 0; i < orientations.length; i++) {\n        var orientation = orientations[i];\n        var posAxis = orientation === 'h' ? ya : xa;\n        var boxList = [];\n        var minPad = 0;\n        var maxPad = 0;\n\n        // make list of boxes / candlesticks\n        // For backward compatibility, candlesticks are treated as if they *are* box traces here\n        for(var j = 0; j < calcdata.length; j++) {\n            var cd = calcdata[j];\n            var t = cd[0].t;\n            var trace = cd[0].trace;\n\n            if(trace.visible === true &&\n                    (trace.type === 'box' || trace.type === 'candlestick') &&\n                    !t.empty &&\n                    (trace.orientation || 'v') === orientation &&\n                    trace.xaxis === xa._id &&\n                    trace.yaxis === ya._id\n              ) {\n                boxList.push(j);\n\n                if(trace.boxpoints) {\n                    minPad = Math.max(minPad, trace.jitter - trace.pointpos - 1);\n                    maxPad = Math.max(maxPad, trace.jitter + trace.pointpos - 1);\n                }\n            }\n        }\n\n        setPositionOffset('box', gd, boxList, posAxis, [minPad, maxPad]);\n    }\n}\n\nfunction setPositionOffset(traceType, gd, boxList, posAxis, pad) {\n    var calcdata = gd.calcdata;\n    var fullLayout = gd._fullLayout;\n    var pointList = [];\n\n    // N.B. reused in violin\n    var numKey = traceType === 'violin' ? '_numViolins' : '_numBoxes';\n\n    var i, j, calcTrace;\n\n    // make list of box points\n    for(i = 0; i < boxList.length; i++) {\n        calcTrace = calcdata[boxList[i]];\n        for(j = 0; j < calcTrace.length; j++) {\n            pointList.push(calcTrace[j].pos);\n        }\n    }\n\n    if(!pointList.length) return;\n\n    // box plots - update dPos based on multiple traces\n    // and then use for posAxis autorange\n    var boxdv = Lib.distinctVals(pointList);\n    var dPos = boxdv.minDiff / 2;\n\n    // if there's no duplication of x points,\n    // disable 'group' mode by setting counter to 1\n    if(pointList.length === boxdv.vals.length) {\n        fullLayout[numKey] = 1;\n    }\n\n    // check for forced minimum dtick\n    Axes.minDtick(posAxis, boxdv.minDiff, boxdv.vals[0], true);\n\n    var gap = fullLayout[traceType + 'gap'];\n    var groupgap = fullLayout[traceType + 'groupgap'];\n    var padfactor = (1 - gap) * (1 - groupgap) * dPos / fullLayout[numKey];\n\n    // autoscale the x axis - including space for points if they're off the side\n    // TODO: this will overdo it if the outermost boxes don't have\n    // their points as far out as the other boxes\n    var extremes = Axes.findExtremes(posAxis, boxdv.vals, {\n        vpadminus: dPos + pad[0] * padfactor,\n        vpadplus: dPos + pad[1] * padfactor\n    });\n\n    for(i = 0; i < boxList.length; i++) {\n        calcTrace = calcdata[boxList[i]];\n        // set the width of all boxes\n        calcTrace[0].t.dPos = dPos;\n        // link extremes to all boxes\n        calcTrace[0].trace._extremes[posAxis._id] = extremes;\n    }\n\n}\n\nmodule.exports = {\n    crossTraceCalc: crossTraceCalc,\n    setPositionOffset: setPositionOffset\n};\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745}],863:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Registry = _dereq_('../../registry');\nvar Color = _dereq_('../../components/color');\n\nvar attributes = _dereq_('./attributes');\n\nfunction supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    handleSampleDefaults(traceIn, traceOut, coerce, layout);\n    if(traceOut.visible === false) return;\n\n    coerce('line.color', (traceIn.marker || {}).color || defaultColor);\n    coerce('line.width');\n    coerce('fillcolor', Color.addOpacity(traceOut.line.color, 0.5));\n\n    coerce('whiskerwidth');\n    coerce('boxmean');\n\n    var notched = coerce('notched', traceIn.notchwidth !== undefined);\n    if(notched) coerce('notchwidth');\n\n    handlePointsDefaults(traceIn, traceOut, coerce, {prefix: 'box'});\n}\n\nfunction handleSampleDefaults(traceIn, traceOut, coerce, layout) {\n    var y = coerce('y');\n    var x = coerce('x');\n    var hasX = x && x.length;\n\n    var defaultOrientation, len;\n\n    if(y && y.length) {\n        defaultOrientation = 'v';\n        if(hasX) {\n            len = Math.min(x.length, y.length);\n        }\n        else {\n            coerce('x0');\n            len = y.length;\n        }\n    } else if(hasX) {\n        defaultOrientation = 'h';\n        coerce('y0');\n        len = x.length;\n    } else {\n        traceOut.visible = false;\n        return;\n    }\n    traceOut._length = len;\n\n    var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleTraceDefaults');\n    handleCalendarDefaults(traceIn, traceOut, ['x', 'y'], layout);\n\n    coerce('orientation', defaultOrientation);\n}\n\nfunction handlePointsDefaults(traceIn, traceOut, coerce, opts) {\n    var prefix = opts.prefix;\n\n    var outlierColorDflt = Lib.coerce2(traceIn, traceOut, attributes, 'marker.outliercolor');\n    var lineoutliercolor = coerce('marker.line.outliercolor');\n\n    var points = coerce(\n        prefix + 'points',\n        (outlierColorDflt || lineoutliercolor) ? 'suspectedoutliers' : undefined\n    );\n\n    if(points) {\n        coerce('jitter', points === 'all' ? 0.3 : 0);\n        coerce('pointpos', points === 'all' ? -1.5 : 0);\n\n        coerce('marker.symbol');\n        coerce('marker.opacity');\n        coerce('marker.size');\n        coerce('marker.color', traceOut.line.color);\n        coerce('marker.line.color');\n        coerce('marker.line.width');\n\n        if(points === 'suspectedoutliers') {\n            coerce('marker.line.outliercolor', traceOut.marker.color);\n            coerce('marker.line.outlierwidth');\n        }\n\n        coerce('selected.marker.color');\n        coerce('unselected.marker.color');\n        coerce('selected.marker.size');\n        coerce('unselected.marker.size');\n\n        coerce('text');\n    } else {\n        delete traceOut.marker;\n    }\n\n    coerce('hoveron');\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n}\n\nmodule.exports = {\n    supplyDefaults: supplyDefaults,\n    handleSampleDefaults: handleSampleDefaults,\n    handlePointsDefaults: handlePointsDefaults\n};\n\n},{\"../../components/color\":570,\"../../lib\":696,\"../../registry\":828,\"./attributes\":860}],864:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function eventData(out, pt) {\n\n    // Note: hoverOnBox property is needed for click-to-select\n    // to ignore when a box was clicked. This is the reason box\n    // implements this custom eventData function.\n    if(pt.hoverOnBox) out.hoverOnBox = pt.hoverOnBox;\n\n    if('xVal' in pt) out.x = pt.xVal;\n    if('yVal' in pt) out.y = pt.yVal;\n    if(pt.xa) out.xaxis = pt.xa;\n    if(pt.ya) out.yaxis = pt.ya;\n\n    return out;\n};\n\n},{}],865:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Lib = _dereq_('../../lib');\nvar Fx = _dereq_('../../components/fx');\nvar Color = _dereq_('../../components/color');\nvar fillHoverText = _dereq_('../scatter/fill_hover_text');\n\nfunction hoverPoints(pointData, xval, yval, hovermode) {\n    var cd = pointData.cd;\n    var trace = cd[0].trace;\n    var hoveron = trace.hoveron;\n    var closeBoxData = [];\n    var closePtData;\n\n    if(hoveron.indexOf('boxes') !== -1) {\n        closeBoxData = closeBoxData.concat(hoverOnBoxes(pointData, xval, yval, hovermode));\n    }\n\n    if(hoveron.indexOf('points') !== -1) {\n        closePtData = hoverOnPoints(pointData, xval, yval);\n    }\n\n    // If there's a point in range and hoveron has points, show the best single point only.\n    // If hoveron has boxes and there's no point in range (or hoveron doesn't have points), show the box stats.\n    if(hovermode === 'closest') {\n        if(closePtData) return [closePtData];\n        return closeBoxData;\n    }\n\n    // Otherwise in compare mode, allow a point AND the box stats to be labeled\n    // If there are multiple boxes in range (ie boxmode = 'overlay') we'll see stats for all of them.\n    if(closePtData) {\n        closeBoxData.push(closePtData);\n        return closeBoxData;\n    }\n    return closeBoxData;\n}\n\nfunction hoverOnBoxes(pointData, xval, yval, hovermode) {\n    var cd = pointData.cd;\n    var xa = pointData.xa;\n    var ya = pointData.ya;\n    var trace = cd[0].trace;\n    var t = cd[0].t;\n    var isViolin = trace.type === 'violin';\n    var closeBoxData = [];\n\n    var pLetter, vLetter, pAxis, vAxis, vVal, pVal, dx, dy, dPos,\n        hoverPseudoDistance, spikePseudoDistance;\n\n    var boxDelta = t.bdPos;\n    var posAcceptance = t.wHover;\n    var shiftPos = function(di) { return di.pos + t.bPos - pVal; };\n\n    if(isViolin && trace.side !== 'both') {\n        if(trace.side === 'positive') {\n            dPos = function(di) {\n                var pos = shiftPos(di);\n                return Fx.inbox(pos, pos + posAcceptance, hoverPseudoDistance);\n            };\n        }\n        if(trace.side === 'negative') {\n            dPos = function(di) {\n                var pos = shiftPos(di);\n                return Fx.inbox(pos - posAcceptance, pos, hoverPseudoDistance);\n            };\n        }\n    } else {\n        dPos = function(di) {\n            var pos = shiftPos(di);\n            return Fx.inbox(pos - posAcceptance, pos + posAcceptance, hoverPseudoDistance);\n        };\n    }\n\n    var dVal;\n\n    if(isViolin) {\n        dVal = function(di) {\n            return Fx.inbox(di.span[0] - vVal, di.span[1] - vVal, hoverPseudoDistance);\n        };\n    } else {\n        dVal = function(di) {\n            return Fx.inbox(di.min - vVal, di.max - vVal, hoverPseudoDistance);\n        };\n    }\n\n    if(trace.orientation === 'h') {\n        vVal = xval;\n        pVal = yval;\n        dx = dVal;\n        dy = dPos;\n        pLetter = 'y';\n        pAxis = ya;\n        vLetter = 'x';\n        vAxis = xa;\n    } else {\n        vVal = yval;\n        pVal = xval;\n        dx = dPos;\n        dy = dVal;\n        pLetter = 'x';\n        pAxis = xa;\n        vLetter = 'y';\n        vAxis = ya;\n    }\n\n    // if two boxes are overlaying, let the narrowest one win\n    var pseudoDistance = Math.min(1, boxDelta / Math.abs(pAxis.r2c(pAxis.range[1]) - pAxis.r2c(pAxis.range[0])));\n    hoverPseudoDistance = pointData.maxHoverDistance - pseudoDistance;\n    spikePseudoDistance = pointData.maxSpikeDistance - pseudoDistance;\n\n    function dxy(di) { return (dx(di) + dy(di)) / 2; }\n    var distfn = Fx.getDistanceFunction(hovermode, dx, dy, dxy);\n    Fx.getClosest(cd, distfn, pointData);\n\n    // skip the rest (for this trace) if we didn't find a close point\n    // and create the item(s) in closedata for this point\n    if(pointData.index === false) return [];\n\n    var di = cd[pointData.index];\n    var lc = trace.line.color;\n    var mc = (trace.marker || {}).color;\n\n    if(Color.opacity(lc) && trace.line.width) pointData.color = lc;\n    else if(Color.opacity(mc) && trace.boxpoints) pointData.color = mc;\n    else pointData.color = trace.fillcolor;\n\n    pointData[pLetter + '0'] = pAxis.c2p(di.pos + t.bPos - boxDelta, true);\n    pointData[pLetter + '1'] = pAxis.c2p(di.pos + t.bPos + boxDelta, true);\n\n    pointData[pLetter + 'LabelVal'] = di.pos;\n\n    var spikePosAttr = pLetter + 'Spike';\n    pointData.spikeDistance = dxy(di) * spikePseudoDistance / hoverPseudoDistance;\n    pointData[spikePosAttr] = pAxis.c2p(di.pos, true);\n\n    // box plots: each \"point\" gets many labels\n    var usedVals = {};\n    var attrs = ['med', 'min', 'q1', 'q3', 'max'];\n\n    if(trace.boxmean || (trace.meanline || {}).visible) {\n        attrs.push('mean');\n    }\n    if(trace.boxpoints || trace.points) {\n        attrs.push('lf', 'uf');\n    }\n\n    for(var i = 0; i < attrs.length; i++) {\n        var attr = attrs[i];\n\n        if(!(attr in di) || (di[attr] in usedVals)) continue;\n        usedVals[di[attr]] = true;\n\n        // copy out to a new object for each value to label\n        var val = di[attr];\n        var valPx = vAxis.c2p(val, true);\n        var pointData2 = Lib.extendFlat({}, pointData);\n\n        pointData2[vLetter + '0'] = pointData2[vLetter + '1'] = valPx;\n        pointData2[vLetter + 'LabelVal'] = val;\n        pointData2[vLetter + 'Label'] = (t.labels ? t.labels[attr] + ' ' : '') + Axes.hoverLabelText(vAxis, val);\n\n        // Note: introduced to be able to distinguish a\n        // clicked point from a box during click-to-select\n        pointData2.hoverOnBox = true;\n\n        if(attr === 'mean' && ('sd' in di) && trace.boxmean === 'sd') {\n            pointData2[vLetter + 'err'] = di.sd;\n        }\n        // only keep name and spikes on the first item (median)\n        pointData.name = '';\n        pointData.spikeDistance = undefined;\n        pointData[spikePosAttr] = undefined;\n\n        closeBoxData.push(pointData2);\n    }\n\n    return closeBoxData;\n}\n\nfunction hoverOnPoints(pointData, xval, yval) {\n    var cd = pointData.cd;\n    var xa = pointData.xa;\n    var ya = pointData.ya;\n    var trace = cd[0].trace;\n    var xPx = xa.c2p(xval);\n    var yPx = ya.c2p(yval);\n    var closePtData;\n\n    var dx = function(di) {\n        var rad = Math.max(3, di.mrc || 0);\n        return Math.max(Math.abs(xa.c2p(di.x) - xPx) - rad, 1 - 3 / rad);\n    };\n    var dy = function(di) {\n        var rad = Math.max(3, di.mrc || 0);\n        return Math.max(Math.abs(ya.c2p(di.y) - yPx) - rad, 1 - 3 / rad);\n    };\n    var distfn = Fx.quadrature(dx, dy);\n\n    // show one point per trace\n    var ijClosest = false;\n    var di, pt;\n\n    for(var i = 0; i < cd.length; i++) {\n        di = cd[i];\n\n        for(var j = 0; j < (di.pts || []).length; j++) {\n            pt = di.pts[j];\n\n            var newDistance = distfn(pt);\n            if(newDistance <= pointData.distance) {\n                pointData.distance = newDistance;\n                ijClosest = [i, j];\n            }\n        }\n    }\n\n    if(!ijClosest) return false;\n\n    di = cd[ijClosest[0]];\n    pt = di.pts[ijClosest[1]];\n\n    var xc = xa.c2p(pt.x, true);\n    var yc = ya.c2p(pt.y, true);\n    var rad = pt.mrc || 1;\n\n    closePtData = Lib.extendFlat({}, pointData, {\n        // corresponds to index in x/y input data array\n        index: pt.i,\n        color: (trace.marker || {}).color,\n        name: trace.name,\n        x0: xc - rad,\n        x1: xc + rad,\n        xLabelVal: pt.x,\n        y0: yc - rad,\n        y1: yc + rad,\n        yLabelVal: pt.y,\n        spikeDistance: pointData.distance\n    });\n    var pLetter = trace.orientation === 'h' ? 'y' : 'x';\n    var pa = trace.orientation === 'h' ? ya : xa;\n    closePtData[pLetter + 'Spike'] = pa.c2p(di.pos, true);\n    fillHoverText(pt, trace, closePtData);\n\n    return closePtData;\n}\n\nmodule.exports = {\n    hoverPoints: hoverPoints,\n    hoverOnBoxes: hoverOnBoxes,\n    hoverOnPoints: hoverOnPoints\n};\n\n},{\"../../components/color\":570,\"../../components/fx\":612,\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../scatter/fill_hover_text\":1052}],866:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Box = {};\n\nBox.attributes = _dereq_('./attributes');\nBox.layoutAttributes = _dereq_('./layout_attributes');\nBox.supplyDefaults = _dereq_('./defaults').supplyDefaults;\nBox.supplyLayoutDefaults = _dereq_('./layout_defaults').supplyLayoutDefaults;\nBox.calc = _dereq_('./calc');\nBox.crossTraceCalc = _dereq_('./cross_trace_calc').crossTraceCalc;\nBox.plot = _dereq_('./plot').plot;\nBox.style = _dereq_('./style').style;\nBox.styleOnSelect = _dereq_('./style').styleOnSelect;\nBox.hoverPoints = _dereq_('./hover').hoverPoints;\nBox.eventData = _dereq_('./event_data');\nBox.selectPoints = _dereq_('./select');\n\nBox.moduleType = 'trace';\nBox.name = 'box';\nBox.basePlotModule = _dereq_('../../plots/cartesian');\nBox.categories = ['cartesian', 'svg', 'symbols', 'oriented', 'box-violin', 'showLegend', 'boxLayout', 'zoomScale'];\nBox.meta = {\n    \n};\n\nmodule.exports = Box;\n\n},{\"../../plots/cartesian\":757,\"./attributes\":860,\"./calc\":861,\"./cross_trace_calc\":862,\"./defaults\":863,\"./event_data\":864,\"./hover\":865,\"./layout_attributes\":867,\"./layout_defaults\":868,\"./plot\":869,\"./select\":870,\"./style\":871}],867:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n    boxmode: {\n        valType: 'enumerated',\n        values: ['group', 'overlay'],\n        dflt: 'overlay',\n        \n        editType: 'calc',\n        \n    },\n    boxgap: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        dflt: 0.3,\n        \n        editType: 'calc',\n        \n    },\n    boxgroupgap: {\n        valType: 'number',\n        min: 0,\n        max: 1,\n        dflt: 0.3,\n        \n        editType: 'calc',\n        \n    }\n};\n\n},{}],868:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar layoutAttributes = _dereq_('./layout_attributes');\n\nfunction _supply(layoutIn, layoutOut, fullData, coerce, traceType) {\n    var hasTraceType;\n    var category = traceType + 'Layout';\n    for(var i = 0; i < fullData.length; i++) {\n        if(Registry.traceIs(fullData[i], category)) {\n            hasTraceType = true;\n            break;\n        }\n    }\n    if(!hasTraceType) return;\n\n    coerce(traceType + 'mode');\n    coerce(traceType + 'gap');\n    coerce(traceType + 'groupgap');\n}\n\nfunction supplyLayoutDefaults(layoutIn, layoutOut, fullData) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(layoutIn, layoutOut, layoutAttributes, attr, dflt);\n    }\n    _supply(layoutIn, layoutOut, fullData, coerce, 'box');\n}\n\nmodule.exports = {\n    supplyLayoutDefaults: supplyLayoutDefaults,\n    _supply: _supply\n};\n\n},{\"../../lib\":696,\"../../registry\":828,\"./layout_attributes\":867}],869:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Lib = _dereq_('../../lib');\nvar Drawing = _dereq_('../../components/drawing');\n\n// constants for dynamic jitter (ie less jitter for sparser points)\nvar JITTERCOUNT = 5; // points either side of this to include\nvar JITTERSPREAD = 0.01; // fraction of IQR to count as \"dense\"\n\nfunction plot(gd, plotinfo, cdbox, boxLayer) {\n    var fullLayout = gd._fullLayout;\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n    var numBoxes = fullLayout._numBoxes;\n    var groupFraction = (1 - fullLayout.boxgap);\n    var group = (fullLayout.boxmode === 'group' && numBoxes > 1);\n\n    Lib.makeTraceGroups(boxLayer, cdbox, 'trace boxes').each(function(cd) {\n        var plotGroup = d3.select(this);\n        var cd0 = cd[0];\n        var t = cd0.t;\n        var trace = cd0.trace;\n        if(!plotinfo.isRangePlot) cd0.node3 = plotGroup;\n        // box half width\n        var bdPos = t.dPos * groupFraction * (1 - fullLayout.boxgroupgap) / (group ? numBoxes : 1);\n        // box center offset\n        var bPos = group ? 2 * t.dPos * (-0.5 + (t.num + 0.5) / numBoxes) * groupFraction : 0;\n        // whisker width\n        var wdPos = bdPos * trace.whiskerwidth;\n\n        if(trace.visible !== true || t.empty) {\n            plotGroup.remove();\n            return;\n        }\n\n        var posAxis, valAxis;\n\n        if(trace.orientation === 'h') {\n            posAxis = ya;\n            valAxis = xa;\n        } else {\n            posAxis = xa;\n            valAxis = ya;\n        }\n\n        // save the box size and box position for use by hover\n        t.bPos = bPos;\n        t.bdPos = bdPos;\n        t.wdPos = wdPos;\n        // half-width within which to accept hover for this box\n        // always split the distance to the closest box\n        t.wHover = t.dPos * (group ? groupFraction / numBoxes : 1);\n\n        plotBoxAndWhiskers(plotGroup, {pos: posAxis, val: valAxis}, trace, t);\n        plotPoints(plotGroup, {x: xa, y: ya}, trace, t);\n        plotBoxMean(plotGroup, {pos: posAxis, val: valAxis}, trace, t);\n    });\n}\n\nfunction plotBoxAndWhiskers(sel, axes, trace, t) {\n    var posAxis = axes.pos;\n    var valAxis = axes.val;\n    var bPos = t.bPos;\n    var wdPos = t.wdPos || 0;\n    var bPosPxOffset = t.bPosPxOffset || 0;\n    var whiskerWidth = trace.whiskerwidth || 0;\n    var notched = trace.notched || false;\n    var nw = notched ? 1 - 2 * trace.notchwidth : 1;\n\n    // to support for one-sided box\n    var bdPos0;\n    var bdPos1;\n    if(Array.isArray(t.bdPos)) {\n        bdPos0 = t.bdPos[0];\n        bdPos1 = t.bdPos[1];\n    } else {\n        bdPos0 = t.bdPos;\n        bdPos1 = t.bdPos;\n    }\n\n    var paths = sel.selectAll('path.box').data((\n        trace.type !== 'violin' ||\n        trace.box.visible\n    ) ? Lib.identity : []);\n\n    paths.enter().append('path')\n        .style('vector-effect', 'non-scaling-stroke')\n        .attr('class', 'box');\n\n    paths.exit().remove();\n\n    paths.each(function(d) {\n        var pos = d.pos;\n        var posc = posAxis.c2p(pos + bPos, true) + bPosPxOffset;\n        var pos0 = posAxis.c2p(pos + bPos - bdPos0, true) + bPosPxOffset;\n        var pos1 = posAxis.c2p(pos + bPos + bdPos1, true) + bPosPxOffset;\n        var posw0 = posAxis.c2p(pos + bPos - wdPos, true) + bPosPxOffset;\n        var posw1 = posAxis.c2p(pos + bPos + wdPos, true) + bPosPxOffset;\n        var posm0 = posAxis.c2p(pos + bPos - bdPos0 * nw, true) + bPosPxOffset;\n        var posm1 = posAxis.c2p(pos + bPos + bdPos1 * nw, true) + bPosPxOffset;\n        var q1 = valAxis.c2p(d.q1, true);\n        var q3 = valAxis.c2p(d.q3, true);\n        // make sure median isn't identical to either of the\n        // quartiles, so we can see it\n        var m = Lib.constrain(\n            valAxis.c2p(d.med, true),\n            Math.min(q1, q3) + 1, Math.max(q1, q3) - 1\n        );\n\n        // for compatibility with box, violin, and candlestick\n        // perhaps we should put this into cd0.t instead so it's more explicit,\n        // but what we have now is:\n        // - box always has d.lf, but boxpoints can be anything\n        // - violin has d.lf and should always use it (boxpoints is undefined)\n        // - candlestick has only min/max\n        var useExtremes = (d.lf === undefined) || (trace.boxpoints === false);\n        var lf = valAxis.c2p(useExtremes ? d.min : d.lf, true);\n        var uf = valAxis.c2p(useExtremes ? d.max : d.uf, true);\n        var ln = valAxis.c2p(d.ln, true);\n        var un = valAxis.c2p(d.un, true);\n\n        if(trace.orientation === 'h') {\n            d3.select(this).attr('d',\n                'M' + m + ',' + posm0 + 'V' + posm1 + // median line\n                'M' + q1 + ',' + pos0 + 'V' + pos1 + // left edge\n                (notched ? 'H' + ln + 'L' + m + ',' + posm1 + 'L' + un + ',' + pos1 : '') + // top notched edge\n                'H' + q3 + // end of the top edge\n                'V' + pos0 + // right edge\n                (notched ? 'H' + un + 'L' + m + ',' + posm0 + 'L' + ln + ',' + pos0 : '') + // bottom notched edge\n                'Z' + // end of the box\n                'M' + q1 + ',' + posc + 'H' + lf + 'M' + q3 + ',' + posc + 'H' + uf + // whiskers\n                ((whiskerWidth === 0) ? '' : // whisker caps\n                    'M' + lf + ',' + posw0 + 'V' + posw1 + 'M' + uf + ',' + posw0 + 'V' + posw1));\n        } else {\n            d3.select(this).attr('d',\n                'M' + posm0 + ',' + m + 'H' + posm1 + // median line\n                'M' + pos0 + ',' + q1 + 'H' + pos1 + // top of the box\n                (notched ? 'V' + ln + 'L' + posm1 + ',' + m + 'L' + pos1 + ',' + un : '') + // notched right edge\n                'V' + q3 + // end of the right edge\n                'H' + pos0 + // bottom of the box\n                (notched ? 'V' + un + 'L' + posm0 + ',' + m + 'L' + pos0 + ',' + ln : '') + // notched left edge\n                'Z' + // end of the box\n                'M' + posc + ',' + q1 + 'V' + lf + 'M' + posc + ',' + q3 + 'V' + uf + // whiskers\n                ((whiskerWidth === 0) ? '' : // whisker caps\n                    'M' + posw0 + ',' + lf + 'H' + posw1 + 'M' + posw0 + ',' + uf + 'H' + posw1));\n        }\n    });\n}\n\nfunction plotPoints(sel, axes, trace, t) {\n    var xa = axes.x;\n    var ya = axes.y;\n    var bdPos = t.bdPos;\n    var bPos = t.bPos;\n\n    // to support violin points\n    var mode = trace.boxpoints || trace.points;\n\n    // repeatable pseudo-random number generator\n    Lib.seedPseudoRandom();\n\n    // since box plot points get an extra level of nesting, each\n    // box needs the trace styling info\n    var fn = function(d) {\n        d.forEach(function(v) {\n            v.t = t;\n            v.trace = trace;\n        });\n        return d;\n    };\n\n    var gPoints = sel.selectAll('g.points')\n        .data(mode ? fn : []);\n\n    gPoints.enter().append('g')\n        .attr('class', 'points');\n\n    gPoints.exit().remove();\n\n    var paths = gPoints.selectAll('path')\n        .data(function(d) {\n            var i;\n\n            var pts = mode === 'all' ?\n                d.pts :\n                d.pts.filter(function(pt) { return (pt.v < d.lf || pt.v > d.uf); });\n\n            // normally use IQR, but if this is 0 or too small, use max-min\n            var typicalSpread = Math.max((d.max - d.min) / 10, d.q3 - d.q1);\n            var minSpread = typicalSpread * 1e-9;\n            var spreadLimit = typicalSpread * JITTERSPREAD;\n            var jitterFactors = [];\n            var maxJitterFactor = 0;\n            var newJitter;\n\n            // dynamic jitter\n            if(trace.jitter) {\n                if(typicalSpread === 0) {\n                    // edge case of no spread at all: fall back to max jitter\n                    maxJitterFactor = 1;\n                    jitterFactors = new Array(pts.length);\n                    for(i = 0; i < pts.length; i++) {\n                        jitterFactors[i] = 1;\n                    }\n                } else {\n                    for(i = 0; i < pts.length; i++) {\n                        var i0 = Math.max(0, i - JITTERCOUNT);\n                        var pmin = pts[i0].v;\n                        var i1 = Math.min(pts.length - 1, i + JITTERCOUNT);\n                        var pmax = pts[i1].v;\n\n                        if(mode !== 'all') {\n                            if(pts[i].v < d.lf) pmax = Math.min(pmax, d.lf);\n                            else pmin = Math.max(pmin, d.uf);\n                        }\n\n                        var jitterFactor = Math.sqrt(spreadLimit * (i1 - i0) / (pmax - pmin + minSpread)) || 0;\n                        jitterFactor = Lib.constrain(Math.abs(jitterFactor), 0, 1);\n\n                        jitterFactors.push(jitterFactor);\n                        maxJitterFactor = Math.max(jitterFactor, maxJitterFactor);\n                    }\n                }\n                newJitter = trace.jitter * 2 / (maxJitterFactor || 1);\n            }\n\n            // fills in 'x' and 'y' in calcdata 'pts' item\n            for(i = 0; i < pts.length; i++) {\n                var pt = pts[i];\n                var v = pt.v;\n\n                var jitterOffset = trace.jitter ?\n                    (newJitter * jitterFactors[i] * (Lib.pseudoRandom() - 0.5)) :\n                    0;\n\n                var posPx = d.pos + bPos + bdPos * (trace.pointpos + jitterOffset);\n\n                if(trace.orientation === 'h') {\n                    pt.y = posPx;\n                    pt.x = v;\n                } else {\n                    pt.x = posPx;\n                    pt.y = v;\n                }\n\n                // tag suspected outliers\n                if(mode === 'suspectedoutliers' && v < d.uo && v > d.lo) {\n                    pt.so = true;\n                }\n            }\n\n            return pts;\n        });\n\n    paths.enter().append('path')\n        .classed('point', true);\n\n    paths.exit().remove();\n\n    paths.call(Drawing.translatePoints, xa, ya);\n}\n\nfunction plotBoxMean(sel, axes, trace, t) {\n    var posAxis = axes.pos;\n    var valAxis = axes.val;\n    var bPos = t.bPos;\n    var bPosPxOffset = t.bPosPxOffset || 0;\n\n    // to support violin mean lines\n    var mode = trace.boxmean || (trace.meanline || {}).visible;\n\n    // to support for one-sided box\n    var bdPos0;\n    var bdPos1;\n    if(Array.isArray(t.bdPos)) {\n        bdPos0 = t.bdPos[0];\n        bdPos1 = t.bdPos[1];\n    } else {\n        bdPos0 = t.bdPos;\n        bdPos1 = t.bdPos;\n    }\n\n    var paths = sel.selectAll('path.mean').data((\n        (trace.type === 'box' && trace.boxmean) ||\n        (trace.type === 'violin' && trace.box.visible && trace.meanline.visible)\n    ) ? Lib.identity : []);\n\n    paths.enter().append('path')\n        .attr('class', 'mean')\n        .style({\n            fill: 'none',\n            'vector-effect': 'non-scaling-stroke'\n        });\n\n    paths.exit().remove();\n\n    paths.each(function(d) {\n        var posc = posAxis.c2p(d.pos + bPos, true) + bPosPxOffset;\n        var pos0 = posAxis.c2p(d.pos + bPos - bdPos0, true) + bPosPxOffset;\n        var pos1 = posAxis.c2p(d.pos + bPos + bdPos1, true) + bPosPxOffset;\n        var m = valAxis.c2p(d.mean, true);\n        var sl = valAxis.c2p(d.mean - d.sd, true);\n        var sh = valAxis.c2p(d.mean + d.sd, true);\n\n        if(trace.orientation === 'h') {\n            d3.select(this).attr('d',\n                'M' + m + ',' + pos0 + 'V' + pos1 +\n                (mode === 'sd' ?\n                    'm0,0L' + sl + ',' + posc + 'L' + m + ',' + pos0 + 'L' + sh + ',' + posc + 'Z' :\n                    '')\n            );\n        } else {\n            d3.select(this).attr('d',\n                'M' + pos0 + ',' + m + 'H' + pos1 +\n                (mode === 'sd' ?\n                    'm0,0L' + posc + ',' + sl + 'L' + pos0 + ',' + m + 'L' + posc + ',' + sh + 'Z' :\n                    '')\n            );\n        }\n    });\n}\n\nmodule.exports = {\n    plot: plot,\n    plotBoxAndWhiskers: plotBoxAndWhiskers,\n    plotPoints: plotPoints,\n    plotBoxMean: plotBoxMean\n};\n\n},{\"../../components/drawing\":595,\"../../lib\":696,\"d3\":148}],870:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function selectPoints(searchInfo, selectionTester) {\n    var cd = searchInfo.cd;\n    var xa = searchInfo.xaxis;\n    var ya = searchInfo.yaxis;\n    var selection = [];\n    var i, j;\n\n    if(selectionTester === false) {\n        for(i = 0; i < cd.length; i++) {\n            for(j = 0; j < (cd[i].pts || []).length; j++) {\n                // clear selection\n                cd[i].pts[j].selected = 0;\n            }\n        }\n    } else {\n        for(i = 0; i < cd.length; i++) {\n            for(j = 0; j < (cd[i].pts || []).length; j++) {\n                var pt = cd[i].pts[j];\n                var x = xa.c2p(pt.x);\n                var y = ya.c2p(pt.y);\n\n                if(selectionTester.contains([x, y], null, pt.i, searchInfo)) {\n                    selection.push({\n                        pointNumber: pt.i,\n                        x: xa.c2d(pt.x),\n                        y: ya.c2d(pt.y)\n                    });\n                    pt.selected = 1;\n                } else {\n                    pt.selected = 0;\n                }\n            }\n        }\n    }\n\n    return selection;\n};\n\n},{}],871:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\n\nfunction style(gd, cd) {\n    var s = cd ? cd[0].node3 : d3.select(gd).selectAll('g.trace.boxes');\n\n    s.style('opacity', function(d) { return d[0].trace.opacity; });\n\n    s.each(function(d) {\n        var el = d3.select(this);\n        var trace = d[0].trace;\n        var lineWidth = trace.line.width;\n\n        function styleBox(boxSel, lineWidth, lineColor, fillColor) {\n            boxSel.style('stroke-width', lineWidth + 'px')\n                .call(Color.stroke, lineColor)\n                .call(Color.fill, fillColor);\n        }\n\n        var allBoxes = el.selectAll('path.box');\n\n        if(trace.type === 'candlestick') {\n            allBoxes.each(function(boxData) {\n                var thisBox = d3.select(this);\n                var container = trace[boxData.dir]; // dir = 'increasing' or 'decreasing'\n                styleBox(thisBox, container.line.width, container.line.color, container.fillcolor);\n                // TODO: custom selection style for candlesticks\n                thisBox.style('opacity', trace.selectedpoints && !boxData.selected ? 0.3 : 1);\n            });\n        }\n        else {\n            styleBox(allBoxes, lineWidth, trace.line.color, trace.fillcolor);\n            el.selectAll('path.mean')\n                .style({\n                    'stroke-width': lineWidth,\n                    'stroke-dasharray': (2 * lineWidth) + 'px,' + lineWidth + 'px'\n                })\n                .call(Color.stroke, trace.line.color);\n\n            var pts = el.selectAll('path.point');\n            Drawing.pointStyle(pts, trace, gd);\n        }\n    });\n}\n\nfunction styleOnSelect(gd, cd) {\n    var s = cd[0].node3;\n    var trace = cd[0].trace;\n    var pts = s.selectAll('path.point');\n\n    if(trace.selectedpoints) {\n        Drawing.selectedPointStyle(pts, trace);\n    } else {\n        Drawing.pointStyle(pts, trace, gd);\n    }\n}\n\nmodule.exports = {\n    style: style,\n    styleOnSelect: styleOnSelect\n};\n\n},{\"../../components/color\":570,\"../../components/drawing\":595,\"d3\":148}],872:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar extendFlat = _dereq_('../../lib').extendFlat;\nvar OHLCattrs = _dereq_('../ohlc/attributes');\nvar boxAttrs = _dereq_('../box/attributes');\n\nfunction directionAttrs(lineColorDefault) {\n    return {\n        line: {\n            color: extendFlat({}, boxAttrs.line.color, {dflt: lineColorDefault}),\n            width: boxAttrs.line.width,\n            editType: 'style'\n        },\n\n        fillcolor: boxAttrs.fillcolor,\n        editType: 'style'\n    };\n}\n\nmodule.exports = {\n    x: OHLCattrs.x,\n    open: OHLCattrs.open,\n    high: OHLCattrs.high,\n    low: OHLCattrs.low,\n    close: OHLCattrs.close,\n\n    line: {\n        width: extendFlat({}, boxAttrs.line.width, {\n            \n        }),\n        editType: 'style'\n    },\n\n    increasing: directionAttrs(OHLCattrs.increasing.line.color.dflt),\n\n    decreasing: directionAttrs(OHLCattrs.decreasing.line.color.dflt),\n\n    text: OHLCattrs.text,\n    whiskerwidth: extendFlat({}, boxAttrs.whiskerwidth, { dflt: 0 }),\n\n    hoverlabel: OHLCattrs.hoverlabel,\n};\n\n},{\"../../lib\":696,\"../box/attributes\":860,\"../ohlc/attributes\":992}],873:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nvar calcCommon = _dereq_('../ohlc/calc').calcCommon;\n\nmodule.exports = function(gd, trace) {\n    var fullLayout = gd._fullLayout;\n    var xa = Axes.getFromId(gd, trace.xaxis);\n    var ya = Axes.getFromId(gd, trace.yaxis);\n\n    var x = xa.makeCalcdata(trace, 'x');\n\n    var cd = calcCommon(gd, trace, x, ya, ptFunc);\n\n    if(cd.length) {\n        Lib.extendFlat(cd[0].t, {\n            num: fullLayout._numBoxes,\n            dPos: Lib.distinctVals(x).minDiff / 2,\n            posLetter: 'x',\n            valLetter: 'y',\n        });\n\n        fullLayout._numBoxes++;\n        return cd;\n    } else {\n        return [{t: {empty: true}}];\n    }\n};\n\nfunction ptFunc(o, h, l, c) {\n    return {\n        min: l,\n        q1: Math.min(o, c),\n        med: c,\n        q3: Math.max(o, c),\n        max: h,\n    };\n}\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../ohlc/calc\":993}],874:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Color = _dereq_('../../components/color');\nvar handleOHLC = _dereq_('../ohlc/ohlc_defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var len = handleOHLC(traceIn, traceOut, coerce, layout);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('line.width');\n\n    handleDirection(traceIn, traceOut, coerce, 'increasing');\n    handleDirection(traceIn, traceOut, coerce, 'decreasing');\n\n    coerce('text');\n    coerce('whiskerwidth');\n\n    layout._requestRangeslider[traceOut.xaxis] = true;\n};\n\nfunction handleDirection(traceIn, traceOut, coerce, direction) {\n    var lineColor = coerce(direction + '.line.color');\n    coerce(direction + '.line.width', traceOut.line.width);\n    coerce(direction + '.fillcolor', Color.addOpacity(lineColor, 0.5));\n}\n\n},{\"../../components/color\":570,\"../../lib\":696,\"../ohlc/ohlc_defaults\":997,\"./attributes\":872}],875:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    moduleType: 'trace',\n    name: 'candlestick',\n    basePlotModule: _dereq_('../../plots/cartesian'),\n    categories: ['cartesian', 'svg', 'showLegend', 'candlestick', 'boxLayout'],\n    meta: {\n        \n    },\n\n    attributes: _dereq_('./attributes'),\n    layoutAttributes: _dereq_('../box/layout_attributes'),\n    supplyLayoutDefaults: _dereq_('../box/layout_defaults').supplyLayoutDefaults,\n    crossTraceCalc: _dereq_('../box/cross_trace_calc').crossTraceCalc,\n    supplyDefaults: _dereq_('./defaults'),\n    calc: _dereq_('./calc'),\n    plot: _dereq_('../box/plot').plot,\n    layerName: 'boxlayer',\n    style: _dereq_('../box/style').style,\n    hoverPoints: _dereq_('../ohlc/hover').hoverPoints,\n    selectPoints: _dereq_('../ohlc/select')\n};\n\n},{\"../../plots/cartesian\":757,\"../box/cross_trace_calc\":862,\"../box/layout_attributes\":867,\"../box/layout_defaults\":868,\"../box/plot\":869,\"../box/style\":871,\"../ohlc/hover\":995,\"../ohlc/select\":999,\"./attributes\":872,\"./calc\":873,\"./defaults\":874}],876:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar handleAxisDefaults = _dereq_('./axis_defaults');\nvar Template = _dereq_('../../plot_api/plot_template');\n\nmodule.exports = function handleABDefaults(traceIn, traceOut, fullLayout, coerce, dfltColor) {\n    var a = coerce('a');\n\n    if(!a) {\n        coerce('da');\n        coerce('a0');\n    }\n\n    var b = coerce('b');\n\n    if(!b) {\n        coerce('db');\n        coerce('b0');\n    }\n\n    mimickAxisDefaults(traceIn, traceOut, fullLayout, dfltColor);\n};\n\nfunction mimickAxisDefaults(traceIn, traceOut, fullLayout, dfltColor) {\n    var axesList = ['aaxis', 'baxis'];\n\n    axesList.forEach(function(axName) {\n        var axLetter = axName.charAt(0);\n        var axIn = traceIn[axName] || {};\n        var axOut = Template.newContainer(traceOut, axName);\n\n        var defaultOptions = {\n            tickfont: 'x',\n            id: axLetter + 'axis',\n            letter: axLetter,\n            font: traceOut.font,\n            name: axName,\n            data: traceIn[axLetter],\n            calendar: traceOut.calendar,\n            dfltColor: dfltColor,\n            bgColor: fullLayout.paper_bgcolor,\n            fullLayout: fullLayout\n        };\n\n        handleAxisDefaults(axIn, axOut, defaultOptions);\n        axOut._categories = axOut._categories || [];\n\n        // so we don't have to repeat autotype unnecessarily,\n        // copy an autotype back to traceIn\n        if(!traceIn[axName] && axIn.type !== '-') {\n            traceIn[axName] = {type: axIn.type};\n        }\n    });\n}\n\n},{\"../../plot_api/plot_template\":735,\"./axis_defaults\":881}],877:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isArrayOrTypedArray = _dereq_('../../lib').isArrayOrTypedArray;\n\nmodule.exports = function(a) {\n    return minMax(a, 0);\n};\n\nfunction minMax(a, depth) {\n    // Limit to ten dimensional datasets. This seems *exceedingly* unlikely to\n    // ever cause problems or even be a concern. It's include strictly so that\n    // circular arrays could never cause this to loop.\n    if(!isArrayOrTypedArray(a) || depth >= 10) {\n        return null;\n    }\n\n    var min = Infinity;\n    var max = -Infinity;\n    var n = a.length;\n    for(var i = 0; i < n; i++) {\n        var datum = a[i];\n\n        if(isArrayOrTypedArray(datum)) {\n            var result = minMax(datum, depth + 1);\n\n            if(result) {\n                min = Math.min(result[0], min);\n                max = Math.max(result[1], max);\n            }\n        } else {\n            min = Math.min(datum, min);\n            max = Math.max(datum, max);\n        }\n    }\n\n    return [min, max];\n}\n\n},{\"../../lib\":696}],878:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar axisAttrs = _dereq_('./axis_attributes');\nvar colorAttrs = _dereq_('../../components/color/attributes');\n\nvar carpetFont = fontAttrs({\n    editType: 'calc',\n    \n});\n// TODO: inherit from global font\ncarpetFont.family.dflt = '\"Open Sans\", verdana, arial, sans-serif';\ncarpetFont.size.dflt = 12;\ncarpetFont.color.dflt = colorAttrs.defaultLine;\n\nmodule.exports = {\n    carpet: {\n        valType: 'string',\n        \n        editType: 'calc',\n        \n    },\n    x: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n    y: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n    a: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    a0: {\n        valType: 'number',\n        dflt: 0,\n        \n        editType: 'calc',\n        \n    },\n    da: {\n        valType: 'number',\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n    b: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    b0: {\n        valType: 'number',\n        dflt: 0,\n        \n        editType: 'calc',\n        \n    },\n    db: {\n        valType: 'number',\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n    cheaterslope: {\n        valType: 'number',\n        \n        dflt: 1,\n        editType: 'calc',\n        \n    },\n    aaxis: axisAttrs,\n    baxis: axisAttrs,\n    font: carpetFont,\n    color: {\n        valType: 'color',\n        dflt: colorAttrs.defaultLine,\n        \n        editType: 'plot',\n        \n    },\n    transforms: undefined\n};\n\n},{\"../../components/color/attributes\":569,\"../../plots/font_attributes\":772,\"./axis_attributes\":880}],879:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isArrayOrTypedArray = _dereq_('../../lib').isArrayOrTypedArray;\n\n/* This function retrns a set of control points that define a curve aligned along\n * either the a or b axis. Exactly one of a or b must be an array defining the range\n * spanned.\n *\n * Honestly this is the most complicated function I've implemente here so far because\n * of the way it handles knot insertion and direction/axis-agnostic slices.\n */\nmodule.exports = function(carpet, carpetcd, a, b) {\n    var idx, tangent, tanIsoIdx, tanIsoPar, segment, refidx;\n    var p0, p1, v0, v1, start, end, range;\n\n    var axis = isArrayOrTypedArray(a) ? 'a' : 'b';\n    var ax = axis === 'a' ? carpet.aaxis : carpet.baxis;\n    var smoothing = ax.smoothing;\n    var toIdx = axis === 'a' ? carpet.a2i : carpet.b2j;\n    var pt = axis === 'a' ? a : b;\n    var iso = axis === 'a' ? b : a;\n    var n = axis === 'a' ? carpetcd.a.length : carpetcd.b.length;\n    var m = axis === 'a' ? carpetcd.b.length : carpetcd.a.length;\n    var isoIdx = Math.floor(axis === 'a' ? carpet.b2j(iso) : carpet.a2i(iso));\n\n    var xy = axis === 'a' ? function(value) {\n        return carpet.evalxy([], value, isoIdx);\n    } : function(value) {\n        return carpet.evalxy([], isoIdx, value);\n    };\n\n    if(smoothing) {\n        tanIsoIdx = Math.max(0, Math.min(m - 2, isoIdx));\n        tanIsoPar = isoIdx - tanIsoIdx;\n        tangent = axis === 'a' ? function(i, ti) {\n            return carpet.dxydi([], i, tanIsoIdx, ti, tanIsoPar);\n        } : function(j, tj) {\n            return carpet.dxydj([], tanIsoIdx, j, tanIsoPar, tj);\n        };\n    }\n\n    var vstart = toIdx(pt[0]);\n    var vend = toIdx(pt[1]);\n\n    // So that we can make this work in two directions, flip all of the\n    // math functions if the direction is from higher to lower indices:\n    //\n    // Note that the tolerance is directional!\n    var dir = vstart < vend ? 1 : -1;\n    var tol = (vend - vstart) * 1e-8;\n    var dirfloor = dir > 0 ? Math.floor : Math.ceil;\n    var dirceil = dir > 0 ? Math.ceil : Math.floor;\n    var dirmin = dir > 0 ? Math.min : Math.max;\n    var dirmax = dir > 0 ? Math.max : Math.min;\n\n    var idx0 = dirfloor(vstart + tol);\n    var idx1 = dirceil(vend - tol);\n\n    p0 = xy(vstart);\n    var segments = [[p0]];\n\n    for(idx = idx0; idx * dir < idx1 * dir; idx += dir) {\n        segment = [];\n        start = dirmax(vstart, idx);\n        end = dirmin(vend, idx + dir);\n        range = end - start;\n\n        // In order to figure out which cell we're in for the derivative (remember,\n        // the derivatives are *not* constant across grid lines), let's just average\n        // the start and end points. This cuts out just a tiny bit of logic and\n        // there's really no computational difference:\n        refidx = Math.max(0, Math.min(n - 2, Math.floor(0.5 * (start + end))));\n\n        p1 = xy(end);\n        if(smoothing) {\n            v0 = tangent(refidx, start - refidx);\n            v1 = tangent(refidx, end - refidx);\n\n            segment.push([\n                p0[0] + v0[0] / 3 * range,\n                p0[1] + v0[1] / 3 * range\n            ]);\n\n            segment.push([\n                p1[0] - v1[0] / 3 * range,\n                p1[1] - v1[1] / 3 * range\n            ]);\n        }\n\n        segment.push(p1);\n\n        segments.push(segment);\n        p0 = p1;\n    }\n\n    return segments;\n};\n\n},{\"../../lib\":696}],880:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar colorAttrs = _dereq_('../../components/color/attributes');\nvar axesAttrs = _dereq_('../../plots/cartesian/layout_attributes');\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\nmodule.exports = {\n    color: {\n        valType: 'color',\n        \n        editType: 'calc',\n        \n    },\n    smoothing: {\n        valType: 'number',\n        dflt: 1,\n        min: 0,\n        max: 1.3,\n        \n        editType: 'calc'\n    },\n    title: {\n        valType: 'string',\n        \n        editType: 'calc',\n        \n    },\n    titlefont: fontAttrs({\n        editType: 'calc',\n        \n    }),\n    titleoffset: {\n        valType: 'number',\n        \n        dflt: 10,\n        editType: 'calc',\n        \n    },\n    type: {\n        valType: 'enumerated',\n        // '-' means we haven't yet run autotype or couldn't find any data\n        // it gets turned into linear in gd._fullLayout but not copied back\n        // to gd.data like the others are.\n        values: ['-', 'linear', 'date', 'category'],\n        dflt: '-',\n        \n        editType: 'calc',\n        \n    },\n    autorange: {\n        valType: 'enumerated',\n        values: [true, false, 'reversed'],\n        dflt: true,\n        \n        editType: 'calc',\n        \n    },\n    rangemode: {\n        valType: 'enumerated',\n        values: ['normal', 'tozero', 'nonnegative'],\n        dflt: 'normal',\n        \n        editType: 'calc',\n        \n    },\n    range: {\n        valType: 'info_array',\n        \n        editType: 'calc',\n        items: [\n            {valType: 'any', editType: 'calc'},\n            {valType: 'any', editType: 'calc'}\n        ],\n        \n    },\n\n    fixedrange: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'calc',\n        \n    },\n    cheatertype: {\n        valType: 'enumerated',\n        values: ['index', 'value'],\n        dflt: 'value',\n        \n        editType: 'calc'\n    },\n    tickmode: {\n        valType: 'enumerated',\n        values: ['linear', 'array'],\n        dflt: 'array',\n        \n        editType: 'calc'\n    },\n    nticks: {\n        valType: 'integer',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'calc',\n        \n    },\n    tickvals: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    ticktext: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    showticklabels: {\n        valType: 'enumerated',\n        values: ['start', 'end', 'both', 'none'],\n        dflt: 'start',\n        \n        editType: 'calc',\n        \n    },\n    tickfont: fontAttrs({\n        editType: 'calc',\n        \n    }),\n    tickangle: {\n        valType: 'angle',\n        dflt: 'auto',\n        \n        editType: 'calc',\n        \n    },\n    tickprefix: {\n        valType: 'string',\n        dflt: '',\n        \n        editType: 'calc',\n        \n    },\n    showtickprefix: {\n        valType: 'enumerated',\n        values: ['all', 'first', 'last', 'none'],\n        dflt: 'all',\n        \n        editType: 'calc',\n        \n    },\n    ticksuffix: {\n        valType: 'string',\n        dflt: '',\n        \n        editType: 'calc',\n        \n    },\n    showticksuffix: {\n        valType: 'enumerated',\n        values: ['all', 'first', 'last', 'none'],\n        dflt: 'all',\n        \n        editType: 'calc',\n        \n    },\n    showexponent: {\n        valType: 'enumerated',\n        values: ['all', 'first', 'last', 'none'],\n        dflt: 'all',\n        \n        editType: 'calc',\n        \n    },\n    exponentformat: {\n        valType: 'enumerated',\n        values: ['none', 'e', 'E', 'power', 'SI', 'B'],\n        dflt: 'B',\n        \n        editType: 'calc',\n        \n    },\n    separatethousands: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'calc',\n        \n    },\n    tickformat: {\n        valType: 'string',\n        dflt: '',\n        \n        editType: 'calc',\n        \n    },\n    tickformatstops: overrideAll(axesAttrs.tickformatstops, 'calc', 'from-root'),\n    categoryorder: {\n        valType: 'enumerated',\n        values: [\n            'trace', 'category ascending', 'category descending', 'array'\n            /* , 'value ascending', 'value descending'*/ // value ascending / descending to be implemented later\n        ],\n        dflt: 'trace',\n        \n        editType: 'calc',\n        \n    },\n    categoryarray: {\n        valType: 'data_array',\n        \n        editType: 'calc',\n        \n    },\n    labelpadding: {\n        valType: 'integer',\n        \n        dflt: 10,\n        editType: 'calc',\n        \n    },\n    labelprefix: {\n        valType: 'string',\n        \n        editType: 'calc',\n        \n    },\n    labelsuffix: {\n        valType: 'string',\n        dflt: '',\n        \n        editType: 'calc',\n        \n    },\n    // lines and grids\n    showline: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'calc',\n        \n    },\n    linecolor: {\n        valType: 'color',\n        dflt: colorAttrs.defaultLine,\n        \n        editType: 'calc',\n        \n    },\n    linewidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n    gridcolor: {\n        valType: 'color',\n        \n        editType: 'calc',\n        \n    },\n    gridwidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n    showgrid: {\n        valType: 'boolean',\n        \n        dflt: true,\n        editType: 'calc',\n        \n    },\n    minorgridcount: {\n        valType: 'integer',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'calc',\n        \n    },\n    minorgridwidth: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n    minorgridcolor: {\n        valType: 'color',\n        dflt: colorAttrs.lightLine,\n        \n        editType: 'calc',\n        \n    },\n    startline: {\n        valType: 'boolean',\n        \n        editType: 'calc',\n        \n    },\n    startlinecolor: {\n        valType: 'color',\n        \n        editType: 'calc',\n        \n    },\n    startlinewidth: {\n        valType: 'number',\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n    endline: {\n        valType: 'boolean',\n        \n        editType: 'calc',\n        \n    },\n    endlinewidth: {\n        valType: 'number',\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n    endlinecolor: {\n        valType: 'color',\n        \n        editType: 'calc',\n        \n    },\n    tick0: {\n        valType: 'number',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'calc',\n        \n    },\n    dtick: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n    arraytick0: {\n        valType: 'integer',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'calc',\n        \n    },\n    arraydtick: {\n        valType: 'integer',\n        min: 1,\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n    editType: 'calc'\n};\n\n},{\"../../components/color/attributes\":569,\"../../plot_api/edit_types\":728,\"../../plots/cartesian/layout_attributes\":758,\"../../plots/font_attributes\":772}],881:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar carpetAttrs = _dereq_('./attributes');\n\nvar addOpacity = _dereq_('../../components/color').addOpacity;\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar handleTickValueDefaults = _dereq_('../../plots/cartesian/tick_value_defaults');\nvar handleTickLabelDefaults = _dereq_('../../plots/cartesian/tick_label_defaults');\nvar handleCategoryOrderDefaults = _dereq_('../../plots/cartesian/category_order_defaults');\nvar setConvert = _dereq_('../../plots/cartesian/set_convert');\nvar autoType = _dereq_('../../plots/cartesian/axis_autotype');\n\n/**\n * options: object containing:\n *\n *  letter: 'a' or 'b'\n *  title: name of the axis (ie 'Colorbar') to go in default title\n *  name: axis object name (ie 'xaxis') if one should be stored\n *  font: the default font to inherit\n *  outerTicks: boolean, should ticks default to outside?\n *  showGrid: boolean, should gridlines be shown by default?\n *  data: the plot data to use in choosing auto type\n *  bgColor: the plot background color, to calculate default gridline colors\n */\nmodule.exports = function handleAxisDefaults(containerIn, containerOut, options) {\n    var letter = options.letter,\n        font = options.font || {},\n        attributes = carpetAttrs[letter + 'axis'];\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(containerIn, containerOut, attributes, attr, dflt);\n    }\n\n    function coerce2(attr, dflt) {\n        return Lib.coerce2(containerIn, containerOut, attributes, attr, dflt);\n    }\n\n    // set up some private properties\n    if(options.name) {\n        containerOut._name = options.name;\n        containerOut._id = options.name;\n    }\n\n    // now figure out type and do some more initialization\n    var axType = coerce('type');\n    if(axType === '-') {\n        if(options.data) setAutoType(containerOut, options.data);\n\n        if(containerOut.type === '-') {\n            containerOut.type = 'linear';\n        }\n        else {\n            // copy autoType back to input axis\n            // note that if this object didn't exist\n            // in the input layout, we have to put it in\n            // this happens in the main supplyDefaults function\n            axType = containerIn.type = containerOut.type;\n        }\n    }\n\n    coerce('smoothing');\n    coerce('cheatertype');\n\n    coerce('showticklabels');\n    coerce('labelprefix', letter + ' = ');\n    coerce('labelsuffix');\n    coerce('showtickprefix');\n    coerce('showticksuffix');\n\n    coerce('separatethousands');\n    coerce('tickformat');\n    coerce('exponentformat');\n    coerce('showexponent');\n    coerce('categoryorder');\n\n    coerce('tickmode');\n    coerce('tickvals');\n    coerce('ticktext');\n    coerce('tick0');\n    coerce('dtick');\n\n    if(containerOut.tickmode === 'array') {\n        coerce('arraytick0');\n        coerce('arraydtick');\n    }\n\n    coerce('labelpadding');\n\n    containerOut._hovertitle = letter;\n\n\n    if(axType === 'date') {\n        var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleDefaults');\n        handleCalendarDefaults(containerIn, containerOut, 'calendar', options.calendar);\n    }\n\n    // we need some of the other functions setConvert attaches, but for\n    // path finding, override pixel scaling to simple passthrough (identity)\n    setConvert(containerOut, options.fullLayout);\n    containerOut.c2p = Lib.identity;\n\n    var dfltColor = coerce('color', options.dfltColor);\n    // if axis.color was provided, use it for fonts too; otherwise,\n    // inherit from global font color in case that was provided.\n    var dfltFontColor = (dfltColor === containerIn.color) ? dfltColor : font.color;\n\n    coerce('title');\n    Lib.coerceFont(coerce, 'titlefont', {\n        family: font.family,\n        size: Math.round(font.size * 1.2),\n        color: dfltFontColor\n    });\n\n    coerce('titleoffset');\n\n    coerce('tickangle');\n\n    var autoRange = coerce('autorange', !containerOut.isValidRange(containerIn.range));\n\n    if(autoRange) coerce('rangemode');\n\n    coerce('range');\n    containerOut.cleanRange();\n\n    coerce('fixedrange');\n\n    handleTickValueDefaults(containerIn, containerOut, coerce, axType);\n    handleTickLabelDefaults(containerIn, containerOut, coerce, axType, options);\n    handleCategoryOrderDefaults(containerIn, containerOut, coerce, {\n        data: options.data,\n        dataAttr: letter\n    });\n\n    var gridColor = coerce2('gridcolor', addOpacity(dfltColor, 0.3));\n    var gridWidth = coerce2('gridwidth');\n    var showGrid = coerce('showgrid');\n\n    if(!showGrid) {\n        delete containerOut.gridcolor;\n        delete containerOut.gridwidth;\n    }\n\n    var startLineColor = coerce2('startlinecolor', dfltColor);\n    var startLineWidth = coerce2('startlinewidth', gridWidth);\n    var showStartLine = coerce('startline', containerOut.showgrid || !!startLineColor || !!startLineWidth);\n\n    if(!showStartLine) {\n        delete containerOut.startlinecolor;\n        delete containerOut.startlinewidth;\n    }\n\n    var endLineColor = coerce2('endlinecolor', dfltColor);\n    var endLineWidth = coerce2('endlinewidth', gridWidth);\n    var showEndLine = coerce('endline', containerOut.showgrid || !!endLineColor || !!endLineWidth);\n\n    if(!showEndLine) {\n        delete containerOut.endlinecolor;\n        delete containerOut.endlinewidth;\n    }\n\n    if(!showGrid) {\n        delete containerOut.gridcolor;\n        delete containerOut.gridWidth;\n    } else {\n        coerce('minorgridcount');\n        coerce('minorgridwidth', gridWidth);\n        coerce('minorgridcolor', addOpacity(gridColor, 0.06));\n\n        if(!containerOut.minorgridcount) {\n            delete containerOut.minorgridwidth;\n            delete containerOut.minorgridcolor;\n        }\n    }\n\n    if(containerOut.showticklabels === 'none') {\n        delete containerOut.tickfont;\n        delete containerOut.tickangle;\n        delete containerOut.showexponent;\n        delete containerOut.exponentformat;\n        delete containerOut.tickformat;\n        delete containerOut.showticksuffix;\n        delete containerOut.showtickprefix;\n    }\n\n    if(!containerOut.showticksuffix) {\n        delete containerOut.ticksuffix;\n    }\n\n    if(!containerOut.showtickprefix) {\n        delete containerOut.tickprefix;\n    }\n\n    // It needs to be coerced, then something above overrides this deep in the axis code,\n    // but no, we *actually* want to coerce this.\n    coerce('tickmode');\n\n    if(!containerOut.title || (containerOut.title && containerOut.title.length === 0)) {\n        delete containerOut.titlefont;\n        delete containerOut.titleoffset;\n    }\n\n    return containerOut;\n};\n\nfunction setAutoType(ax, data) {\n    // new logic: let people specify any type they want,\n    // only autotype if type is '-'\n    if(ax.type !== '-') return;\n\n    var id = ax._id,\n        axLetter = id.charAt(0);\n\n    var calAttr = axLetter + 'calendar',\n        calendar = ax[calAttr];\n\n    ax.type = autoType(data, calendar);\n}\n\n},{\"../../components/color\":570,\"../../lib\":696,\"../../plots/cartesian/axis_autotype\":746,\"../../plots/cartesian/category_order_defaults\":749,\"../../plots/cartesian/set_convert\":764,\"../../plots/cartesian/tick_label_defaults\":765,\"../../plots/cartesian/tick_value_defaults\":767,\"../../registry\":828,\"./attributes\":878}],882:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar isArray1D = _dereq_('../../lib').isArray1D;\nvar cheaterBasis = _dereq_('./cheater_basis');\nvar arrayMinmax = _dereq_('./array_minmax');\nvar calcGridlines = _dereq_('./calc_gridlines');\nvar calcLabels = _dereq_('./calc_labels');\nvar calcClipPath = _dereq_('./calc_clippath');\nvar clean2dArray = _dereq_('../heatmap/clean_2d_array');\nvar smoothFill2dArray = _dereq_('./smooth_fill_2d_array');\nvar convertColumnData = _dereq_('../heatmap/convert_column_xyz');\nvar setConvert = _dereq_('./set_convert');\n\nmodule.exports = function calc(gd, trace) {\n    var xa = Axes.getFromId(gd, trace.xaxis);\n    var ya = Axes.getFromId(gd, trace.yaxis);\n    var aax = trace.aaxis;\n    var bax = trace.baxis;\n\n    var x = trace.x;\n    var y = trace.y;\n    var cols = [];\n    if(x && isArray1D(x)) cols.push('x');\n    if(y && isArray1D(y)) cols.push('y');\n\n    if(cols.length) {\n        convertColumnData(trace, aax, bax, 'a', 'b', cols);\n    }\n\n    var a = trace._a = trace._a || trace.a;\n    var b = trace._b = trace._b || trace.b;\n    x = trace._x || trace.x;\n    y = trace._y || trace.y;\n\n    var t = {};\n\n    if(trace._cheater) {\n        var avals = aax.cheatertype === 'index' ? a.length : a;\n        var bvals = bax.cheatertype === 'index' ? b.length : b;\n        x = cheaterBasis(avals, bvals, trace.cheaterslope);\n    }\n\n    trace._x = x = clean2dArray(x);\n    trace._y = y = clean2dArray(y);\n\n    // Fill in any undefined values with elliptic smoothing. This doesn't take\n    // into account the spacing of the values. That is, the derivatives should\n    // be modified to use a and b values. It's not that hard, but this is already\n    // moderate overkill for just filling in missing values.\n    smoothFill2dArray(x, a, b);\n    smoothFill2dArray(y, a, b);\n\n    setConvert(trace);\n\n    // create conversion functions that depend on the data\n    trace.setScale();\n\n    // This is a rather expensive scan. Nothing guarantees monotonicity,\n    // so we need to scan through all data to get proper ranges:\n    var xrange = arrayMinmax(x);\n    var yrange = arrayMinmax(y);\n\n    var dx = 0.5 * (xrange[1] - xrange[0]);\n    var xc = 0.5 * (xrange[1] + xrange[0]);\n\n    var dy = 0.5 * (yrange[1] - yrange[0]);\n    var yc = 0.5 * (yrange[1] + yrange[0]);\n\n    // Expand the axes to fit the plot, except just grow it by a factor of 1.3\n    // because the labels should be taken into account except that's difficult\n    // hence 1.3.\n    var grow = 1.3;\n    xrange = [xc - dx * grow, xc + dx * grow];\n    yrange = [yc - dy * grow, yc + dy * grow];\n\n    trace._extremes[xa._id] = Axes.findExtremes(xa, xrange, {padded: true});\n    trace._extremes[ya._id] = Axes.findExtremes(ya, yrange, {padded: true});\n\n    // Enumerate the gridlines, both major and minor, and store them on the trace\n    // object:\n    calcGridlines(trace, 'a', 'b');\n    calcGridlines(trace, 'b', 'a');\n\n    // Calculate the text labels for each major gridline and store them on the\n    // trace object:\n    calcLabels(trace, aax);\n    calcLabels(trace, bax);\n\n    // Tabulate points for the four segments that bound the axes so that we can\n    // map to pixel coordinates in the plot function and create a clip rect:\n    t.clipsegments = calcClipPath(trace._xctrl, trace._yctrl, aax, bax);\n\n    t.x = x;\n    t.y = y;\n    t.a = a;\n    t.b = b;\n\n    return [t];\n};\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../heatmap/clean_2d_array\":948,\"../heatmap/convert_column_xyz\":950,\"./array_minmax\":877,\"./calc_clippath\":883,\"./calc_gridlines\":884,\"./calc_labels\":885,\"./cheater_basis\":887,\"./set_convert\":900,\"./smooth_fill_2d_array\":901}],883:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = function makeClipPath(xctrl, yctrl, aax, bax) {\n    var i, x, y;\n    var segments = [];\n\n    var asmoothing = !!aax.smoothing;\n    var bsmoothing = !!bax.smoothing;\n    var nea1 = xctrl[0].length - 1;\n    var neb1 = xctrl.length - 1;\n\n    // Along the lower a axis:\n    for(i = 0, x = [], y = []; i <= nea1; i++) {\n        x[i] = xctrl[0][i];\n        y[i] = yctrl[0][i];\n    }\n    segments.push({x: x, y: y, bicubic: asmoothing});\n\n    // Along the upper b axis:\n    for(i = 0, x = [], y = []; i <= neb1; i++) {\n        x[i] = xctrl[i][nea1];\n        y[i] = yctrl[i][nea1];\n    }\n    segments.push({x: x, y: y, bicubic: bsmoothing});\n\n    // Backwards along the upper a axis:\n    for(i = nea1, x = [], y = []; i >= 0; i--) {\n        x[nea1 - i] = xctrl[neb1][i];\n        y[nea1 - i] = yctrl[neb1][i];\n    }\n    segments.push({x: x, y: y, bicubic: asmoothing});\n\n    // Backwards along the lower b axis:\n    for(i = neb1, x = [], y = []; i >= 0; i--) {\n        x[neb1 - i] = xctrl[i][0];\n        y[neb1 - i] = yctrl[i][0];\n    }\n    segments.push({x: x, y: y, bicubic: bsmoothing});\n\n    return segments;\n};\n\n},{}],884:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nmodule.exports = function calcGridlines(trace, axisLetter, crossAxisLetter) {\n    var i, j, j0;\n    var eps, bounds, n1, n2, n, value, v;\n    var j1, v0, v1, d;\n\n    var data = trace['_' + axisLetter];\n    var axis = trace[axisLetter + 'axis'];\n\n    var gridlines = axis._gridlines = [];\n    var minorgridlines = axis._minorgridlines = [];\n    var boundarylines = axis._boundarylines = [];\n\n    var crossData = trace['_' + crossAxisLetter];\n    var crossAxis = trace[crossAxisLetter + 'axis'];\n\n    if(axis.tickmode === 'array') {\n        axis.tickvals = data.slice();\n    }\n\n    var xcp = trace._xctrl;\n    var ycp = trace._yctrl;\n    var nea = xcp[0].length;\n    var neb = xcp.length;\n    var na = trace._a.length;\n    var nb = trace._b.length;\n\n    Axes.prepTicks(axis);\n\n    // don't leave tickvals in axis looking like an attribute\n    if(axis.tickmode === 'array') delete axis.tickvals;\n\n    // The default is an empty array that will cause the join to remove the gridline if\n    // it's just disappeared:\n    // axis._startline = axis._endline = [];\n\n    // If the cross axis uses bicubic interpolation, then the grid\n    // lines fall once every three expanded grid row/cols:\n    var stride = axis.smoothing ? 3 : 1;\n\n    function constructValueGridline(value) {\n        var i, j, j0, tj, pxy, i0, ti, xy, dxydi0, dxydi1, dxydj0, dxydj1;\n        var xpoints = [];\n        var ypoints = [];\n        var ret = {};\n        // Search for the fractional grid index giving this line:\n        if(axisLetter === 'b') {\n            // For the position we use just the i-j coordinates:\n            j = trace.b2j(value);\n\n            // The derivatives for catmull-rom splines are discontinuous across cell\n            // boundaries though, so we need to provide both the cell and the position\n            // within the cell separately:\n            j0 = Math.floor(Math.max(0, Math.min(nb - 2, j)));\n            tj = j - j0;\n\n            ret.length = nb;\n            ret.crossLength = na;\n\n            ret.xy = function(i) {\n                return trace.evalxy([], i, j);\n            };\n\n            ret.dxy = function(i0, ti) {\n                return trace.dxydi([], i0, j0, ti, tj);\n            };\n\n            for(i = 0; i < na; i++) {\n                i0 = Math.min(na - 2, i);\n                ti = i - i0;\n                xy = trace.evalxy([], i, j);\n\n                if(crossAxis.smoothing && i > 0) {\n                    // First control point:\n                    dxydi0 = trace.dxydi([], i - 1, j0, 0, tj);\n                    xpoints.push(pxy[0] + dxydi0[0] / 3);\n                    ypoints.push(pxy[1] + dxydi0[1] / 3);\n\n                    // Second control point:\n                    dxydi1 = trace.dxydi([], i - 1, j0, 1, tj);\n                    xpoints.push(xy[0] - dxydi1[0] / 3);\n                    ypoints.push(xy[1] - dxydi1[1] / 3);\n                }\n\n                xpoints.push(xy[0]);\n                ypoints.push(xy[1]);\n\n                pxy = xy;\n            }\n        } else {\n            i = trace.a2i(value);\n            i0 = Math.floor(Math.max(0, Math.min(na - 2, i)));\n            ti = i - i0;\n\n            ret.length = na;\n            ret.crossLength = nb;\n\n            ret.xy = function(j) {\n                return trace.evalxy([], i, j);\n            };\n\n            ret.dxy = function(j0, tj) {\n                return trace.dxydj([], i0, j0, ti, tj);\n            };\n\n            for(j = 0; j < nb; j++) {\n                j0 = Math.min(nb - 2, j);\n                tj = j - j0;\n                xy = trace.evalxy([], i, j);\n\n                if(crossAxis.smoothing && j > 0) {\n                    // First control point:\n                    dxydj0 = trace.dxydj([], i0, j - 1, ti, 0);\n                    xpoints.push(pxy[0] + dxydj0[0] / 3);\n                    ypoints.push(pxy[1] + dxydj0[1] / 3);\n\n                    // Second control point:\n                    dxydj1 = trace.dxydj([], i0, j - 1, ti, 1);\n                    xpoints.push(xy[0] - dxydj1[0] / 3);\n                    ypoints.push(xy[1] - dxydj1[1] / 3);\n                }\n\n                xpoints.push(xy[0]);\n                ypoints.push(xy[1]);\n\n                pxy = xy;\n            }\n        }\n\n        ret.axisLetter = axisLetter;\n        ret.axis = axis;\n        ret.crossAxis = crossAxis;\n        ret.value = value;\n        ret.constvar = crossAxisLetter;\n        ret.index = n;\n        ret.x = xpoints;\n        ret.y = ypoints;\n        ret.smoothing = crossAxis.smoothing;\n\n        return ret;\n    }\n\n    function constructArrayGridline(idx) {\n        var j, i0, j0, ti, tj;\n        var xpoints = [];\n        var ypoints = [];\n        var ret = {};\n        ret.length = data.length;\n        ret.crossLength = crossData.length;\n\n        if(axisLetter === 'b') {\n            j0 = Math.max(0, Math.min(nb - 2, idx));\n            tj = Math.min(1, Math.max(0, idx - j0));\n\n            ret.xy = function(i) {\n                return trace.evalxy([], i, idx);\n            };\n\n            ret.dxy = function(i0, ti) {\n                return trace.dxydi([], i0, j0, ti, tj);\n            };\n\n            // In the tickmode: array case, this operation is a simple\n            // transfer of data:\n            for(j = 0; j < nea; j++) {\n                xpoints[j] = xcp[idx * stride][j];\n                ypoints[j] = ycp[idx * stride][j];\n            }\n        } else {\n            i0 = Math.max(0, Math.min(na - 2, idx));\n            ti = Math.min(1, Math.max(0, idx - i0));\n\n            ret.xy = function(j) {\n                return trace.evalxy([], idx, j);\n            };\n\n            ret.dxy = function(j0, tj) {\n                return trace.dxydj([], i0, j0, ti, tj);\n            };\n\n            // In the tickmode: array case, this operation is a simple\n            // transfer of data:\n            for(j = 0; j < neb; j++) {\n                xpoints[j] = xcp[j][idx * stride];\n                ypoints[j] = ycp[j][idx * stride];\n            }\n        }\n\n        ret.axisLetter = axisLetter;\n        ret.axis = axis;\n        ret.crossAxis = crossAxis;\n        ret.value = data[idx];\n        ret.constvar = crossAxisLetter;\n        ret.index = idx;\n        ret.x = xpoints;\n        ret.y = ypoints;\n        ret.smoothing = crossAxis.smoothing;\n\n        return ret;\n    }\n\n    if(axis.tickmode === 'array') {\n        // var j0 = axis.startline ? 1 : 0;\n        // var j1 = data.length - (axis.endline ? 1 : 0);\n\n        eps = 5e-15;\n        bounds = [\n            Math.floor(((data.length - 1) - axis.arraytick0) / axis.arraydtick * (1 + eps)),\n            Math.ceil((- axis.arraytick0) / axis.arraydtick / (1 + eps))\n        ].sort(function(a, b) {return a - b;});\n\n        // Unpack sorted values so we can be sure to avoid infinite loops if something\n        // is backwards:\n        n1 = bounds[0] - 1;\n        n2 = bounds[1] + 1;\n\n        // If the axes fall along array lines, then this is a much simpler process since\n        // we already have all the control points we need\n        for(n = n1; n < n2; n++) {\n            j = axis.arraytick0 + axis.arraydtick * n;\n            if(j < 0 || j > data.length - 1) continue;\n            gridlines.push(extendFlat(constructArrayGridline(j), {\n                color: axis.gridcolor,\n                width: axis.gridwidth\n            }));\n        }\n\n        for(n = n1; n < n2; n++) {\n            j0 = axis.arraytick0 + axis.arraydtick * n;\n            j1 = Math.min(j0 + axis.arraydtick, data.length - 1);\n\n            // TODO: fix the bounds computation so we don't have to do a large range and then throw\n            // out unneeded numbers\n            if(j0 < 0 || j0 > data.length - 1) continue;\n            if(j1 < 0 || j1 > data.length - 1) continue;\n\n            v0 = data[j0];\n            v1 = data[j1];\n\n            for(i = 0; i < axis.minorgridcount; i++) {\n                d = j1 - j0;\n\n                // TODO: fix the bounds computation so we don't have to do a large range and then throw\n                // out unneeded numbers\n                if(d <= 0) continue;\n\n                // XXX: This calculation isn't quite right. Off by one somewhere?\n                v = v0 + (v1 - v0) * (i + 1) / (axis.minorgridcount + 1) * (axis.arraydtick / d);\n\n                // TODO: fix the bounds computation so we don't have to do a large range and then throw\n                // out unneeded numbers\n                if(v < data[0] || v > data[data.length - 1]) continue;\n                minorgridlines.push(extendFlat(constructValueGridline(v), {\n                    color: axis.minorgridcolor,\n                    width: axis.minorgridwidth\n                }));\n            }\n        }\n\n        if(axis.startline) {\n            boundarylines.push(extendFlat(constructArrayGridline(0), {\n                color: axis.startlinecolor,\n                width: axis.startlinewidth\n            }));\n        }\n\n        if(axis.endline) {\n            boundarylines.push(extendFlat(constructArrayGridline(data.length - 1), {\n                color: axis.endlinecolor,\n                width: axis.endlinewidth\n            }));\n        }\n    } else {\n        // If the lines do not fall along the axes, then we have to interpolate\n        // the contro points and so some math to figure out where the lines are\n        // in the first place.\n\n        // Compute the integer boudns of tick0 + n * dtick that fall within the range\n        // (roughly speaking):\n        // Give this a nice generous epsilon. We use at as * (1 + eps) in order to make\n        // inequalities a little tolerant in a more or less correct manner:\n        eps = 5e-15;\n        bounds = [\n            Math.floor((data[data.length - 1] - axis.tick0) / axis.dtick * (1 + eps)),\n            Math.ceil((data[0] - axis.tick0) / axis.dtick / (1 + eps))\n        ].sort(function(a, b) {return a - b;});\n\n        // Unpack sorted values so we can be sure to avoid infinite loops if something\n        // is backwards:\n        n1 = bounds[0];\n        n2 = bounds[1];\n\n        for(n = n1; n <= n2; n++) {\n            value = axis.tick0 + axis.dtick * n;\n\n            gridlines.push(extendFlat(constructValueGridline(value), {\n                color: axis.gridcolor,\n                width: axis.gridwidth\n            }));\n        }\n\n        for(n = n1 - 1; n < n2 + 1; n++) {\n            value = axis.tick0 + axis.dtick * n;\n\n            for(i = 0; i < axis.minorgridcount; i++) {\n                v = value + axis.dtick * (i + 1) / (axis.minorgridcount + 1);\n                if(v < data[0] || v > data[data.length - 1]) continue;\n                minorgridlines.push(extendFlat(constructValueGridline(v), {\n                    color: axis.minorgridcolor,\n                    width: axis.minorgridwidth\n                }));\n            }\n        }\n\n        if(axis.startline) {\n            boundarylines.push(extendFlat(constructValueGridline(data[0]), {\n                color: axis.startlinecolor,\n                width: axis.startlinewidth\n            }));\n        }\n\n        if(axis.endline) {\n            boundarylines.push(extendFlat(constructValueGridline(data[data.length - 1]), {\n                color: axis.endlinecolor,\n                width: axis.endlinewidth\n            }));\n        }\n    }\n};\n\n},{\"../../lib/extend\":685,\"../../plots/cartesian/axes\":745}],885:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nmodule.exports = function calcLabels(trace, axis) {\n    var i, tobj, prefix, suffix, gridline;\n\n    var labels = axis._labels = [];\n    var gridlines = axis._gridlines;\n\n    for(i = 0; i < gridlines.length; i++) {\n        gridline = gridlines[i];\n\n        if(['start', 'both'].indexOf(axis.showticklabels) !== -1) {\n            tobj = Axes.tickText(axis, gridline.value);\n\n            extendFlat(tobj, {\n                prefix: prefix,\n                suffix: suffix,\n                endAnchor: true,\n                xy: gridline.xy(0),\n                dxy: gridline.dxy(0, 0),\n                axis: gridline.axis,\n                length: gridline.crossAxis.length,\n                font: gridline.axis.tickfont,\n                isFirst: i === 0,\n                isLast: i === gridlines.length - 1\n            });\n\n            labels.push(tobj);\n        }\n\n        if(['end', 'both'].indexOf(axis.showticklabels) !== -1) {\n            tobj = Axes.tickText(axis, gridline.value);\n\n            extendFlat(tobj, {\n                endAnchor: false,\n                xy: gridline.xy(gridline.crossLength - 1),\n                dxy: gridline.dxy(gridline.crossLength - 2, 1),\n                axis: gridline.axis,\n                length: gridline.crossAxis.length,\n                font: gridline.axis.tickfont,\n                isFirst: i === 0,\n                isLast: i === gridlines.length - 1\n            });\n\n            labels.push(tobj);\n        }\n    }\n};\n\n},{\"../../lib/extend\":685,\"../../plots/cartesian/axes\":745}],886:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/*\n * Compute the tangent vector according to catmull-rom cubic splines (centripetal,\n * I think). That differs from the control point in two ways:\n *   1. It is a vector, not a position relative to the point\n *   2. the vector is longer than the position relative to p1 by a factor of 3\n *\n * Close to the boundaries, we'll use these as *quadratic control points, so that\n * to make a nice grid, we'll need to divide the tangent by 2 instead of 3. (The\n * math works out this way if you work through the bezier derivatives)\n */\nvar CatmullRomExp = 0.5;\nmodule.exports = function makeControlPoints(p0, p1, p2, smoothness) {\n    var d1x = p0[0] - p1[0],\n        d1y = p0[1] - p1[1],\n        d2x = p2[0] - p1[0],\n        d2y = p2[1] - p1[1],\n        d1a = Math.pow(d1x * d1x + d1y * d1y, CatmullRomExp / 2),\n        d2a = Math.pow(d2x * d2x + d2y * d2y, CatmullRomExp / 2),\n        numx = (d2a * d2a * d1x - d1a * d1a * d2x) * smoothness,\n        numy = (d2a * d2a * d1y - d1a * d1a * d2y) * smoothness,\n        denom1 = d2a * (d1a + d2a) * 3,\n        denom2 = d1a * (d1a + d2a) * 3;\n    return [[\n        p1[0] + (denom1 && numx / denom1),\n        p1[1] + (denom1 && numy / denom1)\n    ], [\n        p1[0] - (denom2 && numx / denom2),\n        p1[1] - (denom2 && numy / denom2)\n    ]];\n};\n\n},{}],887:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isArrayOrTypedArray = _dereq_('../../lib').isArrayOrTypedArray;\n\n/*\n * Construct a 2D array of cheater values given a, b, and a slope.\n * If\n */\nmodule.exports = function(a, b, cheaterslope) {\n    var i, j, ascal, bscal, aval, bval;\n    var data = [];\n\n    var na = isArrayOrTypedArray(a) ? a.length : a;\n    var nb = isArrayOrTypedArray(b) ? b.length : b;\n    var adata = isArrayOrTypedArray(a) ? a : null;\n    var bdata = isArrayOrTypedArray(b) ? b : null;\n\n    // If we're using data, scale it so that for data that's just barely\n    // not evenly spaced, the switch to value-based indexing is continuous.\n    // This means evenly spaced data should look the same whether value\n    // or index cheatertype.\n    if(adata) {\n        ascal = (adata.length - 1) / (adata[adata.length - 1] - adata[0]) / (na - 1);\n    }\n\n    if(bdata) {\n        bscal = (bdata.length - 1) / (bdata[bdata.length - 1] - bdata[0]) / (nb - 1);\n    }\n\n    var xval;\n    var xmin = Infinity;\n    var xmax = -Infinity;\n    for(j = 0; j < nb; j++) {\n        data[j] = [];\n        bval = bdata ? (bdata[j] - bdata[0]) * bscal : j / (nb - 1);\n        for(i = 0; i < na; i++) {\n            aval = adata ? (adata[i] - adata[0]) * ascal : i / (na - 1);\n            xval = aval - bval * cheaterslope;\n            xmin = Math.min(xval, xmin);\n            xmax = Math.max(xval, xmax);\n            data[j][i] = xval;\n        }\n    }\n\n    // Normalize cheater values to the 0-1 range. This comes into play when you have\n    // multiple cheater plots. After careful consideration, it seems better if cheater\n    // values are normalized to a consistent range. Otherwise one cheater affects the\n    // layout of other cheaters on the same axis.\n    var slope = 1.0 / (xmax - xmin);\n    var offset = -xmin * slope;\n    for(j = 0; j < nb; j++) {\n        for(i = 0; i < na; i++) {\n            data[j][i] = slope * data[j][i] + offset;\n        }\n    }\n\n    return data;\n};\n\n},{\"../../lib\":696}],888:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar makeControlPoints = _dereq_('./catmull_rom');\nvar ensureArray = _dereq_('../../lib').ensureArray;\n\n/*\n * Turns a coarse grid into a fine grid with control points.\n *\n * Here's an ASCII representation:\n *\n *       o ----- o ----- o ----- o\n *       |       |       |       |\n *       |       |       |       |\n *       |       |       |       |\n *       o ----- o ----- o ----- o\n *       |       |       |       |\n *       |       |       |       |\n *    ^  |       |       |       |\n *    |  o ----- o ----- o ----- o\n *  b |  |       |       |       |\n *    |  |       |       |       |\n *    |  |       |       |       |\n *       o ----- o ----- o ----- o\n *         ------>\n *           a\n *\n * First of all, note that we want to do this in *cartesian* space. This means\n * we might run into problems when there are extreme differences in x/y scaling,\n * but the alternative is that the topology of the contours might actually be\n * view-dependent, which seems worse. As a fallback, the only parameter that\n * actually affects the result is the *aspect ratio*, so that we can at least\n * improve the situation a bit without going all the way to screen coordinates.\n *\n * This function flattens the points + tangents  into a slightly denser grid of\n * *control points*. The resulting grid looks like this:\n *\n *       9 +--o-o--+ -o-o--+--o-o--+\n *       8 o  o o  o  o o  o  o o  o\n *         |       |       |       |\n *       7 o  o o  o  o o  o  o o  o\n *       6 +--o-o--+ -o-o--+--o-o--+\n *       5 o  o o  o  o o  o  o o  o\n *         |       |       |       |\n *    ^  4 o  o o  o  o o  o  o o  o\n *    |  3 +--o-o--+ -o-o--+--o-o--+\n *  b |  2 o  o o  o  o o  o  o o  o\n *    |    |       |       |       |\n *    |  1 o  o o  o  o o  o  o o  o\n *       0 +--o-o--+ -o-o--+--o-o--+\n *         0  1 2  3  4 5  6  7 8  9\n *         ------>\n *           a\n *\n * where `o`s represent newly-computed control points. the resulting dimension is\n *\n *     (m - 1) * 3 + 1\n *   = 3 * m - 2\n *\n * We could simply store the tangents separately, but that's a nightmare to organize\n * in two dimensions since we'll be slicing grid lines in both directions and since\n * that basically requires very nearly just as much storage as just storing the dense\n * grid.\n *\n * Wow!\n */\n\n\n/*\n * Catmull-rom is biased at the boundaries toward the interior and we actually\n * can't use catmull-rom to compute the control point closest to (but inside)\n * the boundary.\n *\n * A note on plotly's spline interpolation. It uses the catmull rom control point\n * closest to the boundary *as* a quadratic control point. This seems incorrect,\n * so I've elected not to follow that. Given control points 0 and 1, regular plotly\n * splines give *equivalent* cubic control points:\n *\n * Input:\n *\n *   boundary\n *     |                    |\n *     p0           p2      p3    --> interior\n *     0.0          0.667   1.0\n *     |                    |\n *\n * Cubic-equivalent of what plotly splines draw::\n *\n *   boundary\n *     |                    |\n *     p0   p1      p2      p3    --> interior\n *     0.0  0.4444  0.8888  1.0\n *     |                    |\n *\n * What this function fills in:\n *\n *   boundary\n *     |                    |\n *     p0    p1     p2      p3    --> interior\n *     0.0   0.333  0.667   1.0\n *     |                    |\n *\n * Parameters:\n *   p0: boundary point\n *   p2: catmull rom point based on computation at p3\n *   p3: first grid point\n *\n * Of course it works whichever way it's oriented; you just need to interpret the\n * input/output accordingly.\n */\nfunction inferCubicControlPoint(p0, p2, p3) {\n    // Extend p1 away from p0 by 50%. This is the equivalent quadratic point that\n    // would give the same slope as catmull rom at p0.\n    var p2e0 = -0.5 * p3[0] + 1.5 * p2[0];\n    var p2e1 = -0.5 * p3[1] + 1.5 * p2[1];\n\n    return [\n        (2 * p2e0 + p0[0]) / 3,\n        (2 * p2e1 + p0[1]) / 3,\n    ];\n}\n\nmodule.exports = function computeControlPoints(xe, ye, x, y, asmoothing, bsmoothing) {\n    var i, j, ie, je, xej, yej, xj, yj, cp, p1;\n    // At this point, we know these dimensions are correct and representative of\n    // the whole 2D arrays:\n    var na = x[0].length;\n    var nb = x.length;\n\n    // (n)umber of (e)xpanded points:\n    var nea = asmoothing ? 3 * na - 2 : na;\n    var neb = bsmoothing ? 3 * nb - 2 : nb;\n\n    xe = ensureArray(xe, neb);\n    ye = ensureArray(ye, neb);\n\n    for(ie = 0; ie < neb; ie++) {\n        xe[ie] = ensureArray(xe[ie], nea);\n        ye[ie] = ensureArray(ye[ie], nea);\n    }\n\n    // This loop fills in the X'd points:\n    //\n    //    .       .       .       .\n    //    .       .       .       .\n    //    |       |       |       |\n    //    |       |       |       |\n    //    X ----- X ----- X ----- X\n    //    |       |       |       |\n    //    |       |       |       |\n    //    |       |       |       |\n    //    X ----- X ----- X ----- X\n    //\n    //\n    // ie = (i) (e)xpanded:\n    for(j = 0, je = 0; j < nb; j++, je += bsmoothing ? 3 : 1) {\n        xej = xe[je];\n        yej = ye[je];\n        xj = x[j];\n        yj = y[j];\n\n        // je = (j) (e)xpanded:\n        for(i = 0, ie = 0; i < na; i++, ie += asmoothing ? 3 : 1) {\n            xej[ie] = xj[i];\n            yej[ie] = yj[i];\n        }\n    }\n\n    if(asmoothing) {\n        // If there's a-smoothing, this loop fills in the X'd points with catmull-rom\n        // control points computed along the a-axis:\n        //     .       .       .       .\n        //     .       .       .       .\n        //     |       |       |       |\n        //     |       |       |       |\n        //     o -Y-X- o -X-X- o -X-Y- o\n        //     |       |       |       |\n        //     |       |       |       |\n        //     |       |       |       |\n        //     o -Y-X- o -X-X- o -X-Y- o\n        //\n        // i:  0       1       2       3\n        // ie: 0  1 3  3  4 5  6  7 8  9\n        //\n        //           ------>\n        //             a\n        //\n        for(j = 0, je = 0; j < nb; j++, je += bsmoothing ? 3 : 1) {\n            // Fill in the points marked X for this a-row:\n            for(i = 1, ie = 3; i < na - 1; i++, ie += 3) {\n                cp = makeControlPoints(\n                    [x[j][i - 1], y[j][i - 1]],\n                    [x[j][i ], y[j][i]],\n                    [x[j][i + 1], y[j][i + 1]],\n                    asmoothing\n                );\n\n                xe[je][ie - 1] = cp[0][0];\n                ye[je][ie - 1] = cp[0][1];\n                xe[je][ie + 1] = cp[1][0];\n                ye[je][ie + 1] = cp[1][1];\n            }\n\n            // The very first cubic interpolation point (to the left for i = 1 above) is\n            // used as a *quadratic* interpolation point by the spline drawing function\n            // which isn't really correct. But for the sake of consistency, we'll use it\n            // as such. Since we're using cubic splines, that means we need to shorten the\n            // tangent by 1/3 and also construct a new cubic spline control point 1/3 from\n            // the original to the i = 0 point.\n            p1 = inferCubicControlPoint(\n                [xe[je][0], ye[je][0]],\n                [xe[je][2], ye[je][2]],\n                [xe[je][3], ye[je][3]]\n            );\n            xe[je][1] = p1[0];\n            ye[je][1] = p1[1];\n\n            // Ditto last points, sans explanation:\n            p1 = inferCubicControlPoint(\n                [xe[je][nea - 1], ye[je][nea - 1]],\n                [xe[je][nea - 3], ye[je][nea - 3]],\n                [xe[je][nea - 4], ye[je][nea - 4]]\n            );\n            xe[je][nea - 2] = p1[0];\n            ye[je][nea - 2] = p1[1];\n        }\n    }\n\n    if(bsmoothing) {\n        // If there's a-smoothing, this loop fills in the X'd points with catmull-rom\n        // control points computed along the b-axis:\n        //     .       .       .       .\n        //     X  X X  X  X X  X  X X  X\n        //     |       |       |       |\n        //     X  X X  X  X X  X  X X  X\n        //     o -o-o- o -o-o- o -o-o- o\n        //     X  X X  X  X X  X  X X  X\n        //     |       |       |       |\n        //     Y  Y Y  Y  Y Y  Y  Y Y  Y\n        //     o -o-o- o -o-o- o -o-o- o\n        //\n        // i:  0       1       2       3\n        // ie: 0  1 3  3  4 5  6  7 8  9\n        //\n        //           ------>\n        //             a\n        //\n        for(ie = 0; ie < nea; ie++) {\n            for(je = 3; je < neb - 3; je += 3) {\n                cp = makeControlPoints(\n                    [xe[je - 3][ie], ye[je - 3][ie]],\n                    [xe[je][ie], ye[je][ie]],\n                    [xe[je + 3][ie], ye[je + 3][ie]],\n                    bsmoothing\n                );\n\n                xe[je - 1][ie] = cp[0][0];\n                ye[je - 1][ie] = cp[0][1];\n                xe[je + 1][ie] = cp[1][0];\n                ye[je + 1][ie] = cp[1][1];\n            }\n            // Do the same boundary condition magic for these control points marked Y above:\n            p1 = inferCubicControlPoint(\n                [xe[0][ie], ye[0][ie]],\n                [xe[2][ie], ye[2][ie]],\n                [xe[3][ie], ye[3][ie]]\n            );\n            xe[1][ie] = p1[0];\n            ye[1][ie] = p1[1];\n\n            p1 = inferCubicControlPoint(\n                [xe[neb - 1][ie], ye[neb - 1][ie]],\n                [xe[neb - 3][ie], ye[neb - 3][ie]],\n                [xe[neb - 4][ie], ye[neb - 4][ie]]\n            );\n            xe[neb - 2][ie] = p1[0];\n            ye[neb - 2][ie] = p1[1];\n        }\n    }\n\n    if(asmoothing && bsmoothing) {\n        // Do one more pass, this time recomputing exactly what we just computed.\n        // It's overdetermined since we're peforming catmull-rom in two directions,\n        // so we'll just average the overdetermined. These points don't lie along the\n        // grid lines, so note that only grid lines will follow normal plotly spline\n        // interpolation.\n        //\n        // Unless of course there was no b smoothing. Then these intermediate points\n        // don't actually exist and this section is bypassed.\n        //     .       .       .       .\n        //     o  X X  o  X X  o  X X  o\n        //     |       |       |       |\n        //     o  X X  o  X X  o  X X  o\n        //     o -o-o- o -o-o- o -o-o- o\n        //     o  X X  o  X X  o  X X  o\n        //     |       |       |       |\n        //     o  Y Y  o  Y Y  o  Y Y  o\n        //     o -o-o- o -o-o- o -o-o- o\n        //\n        // i:  0       1       2       3\n        // ie: 0  1 3  3  4 5  6  7 8  9\n        //\n        //           ------>\n        //             a\n        //\n        for(je = 1; je < neb; je += (je + 1) % 3 === 0 ? 2 : 1) {\n            // Fill in the points marked X for this a-row:\n            for(ie = 3; ie < nea - 3; ie += 3) {\n                cp = makeControlPoints(\n                    [xe[je][ie - 3], ye[je][ie - 3]],\n                    [xe[je][ie], ye[je][ie]],\n                    [xe[je][ie + 3], ye[je][ie + 3]],\n                    asmoothing\n                );\n\n                xe[je][ie - 1] = 0.5 * (xe[je][ie - 1] + cp[0][0]);\n                ye[je][ie - 1] = 0.5 * (ye[je][ie - 1] + cp[0][1]);\n                xe[je][ie + 1] = 0.5 * (xe[je][ie + 1] + cp[1][0]);\n                ye[je][ie + 1] = 0.5 * (ye[je][ie + 1] + cp[1][1]);\n            }\n\n            // This case is just slightly different. The computation is the same,\n            // but having computed this, we'll average with the existing result.\n            p1 = inferCubicControlPoint(\n                [xe[je][0], ye[je][0]],\n                [xe[je][2], ye[je][2]],\n                [xe[je][3], ye[je][3]]\n            );\n            xe[je][1] = 0.5 * (xe[je][1] + p1[0]);\n            ye[je][1] = 0.5 * (ye[je][1] + p1[1]);\n\n            p1 = inferCubicControlPoint(\n                [xe[je][nea - 1], ye[je][nea - 1]],\n                [xe[je][nea - 3], ye[je][nea - 3]],\n                [xe[je][nea - 4], ye[je][nea - 4]]\n            );\n            xe[je][nea - 2] = 0.5 * (xe[je][nea - 2] + p1[0]);\n            ye[je][nea - 2] = 0.5 * (ye[je][nea - 2] + p1[1]);\n        }\n    }\n\n    return [xe, ye];\n};\n\n},{\"../../lib\":696,\"./catmull_rom\":886}],889:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = {\n    RELATIVE_CULL_TOLERANCE: 1e-6\n};\n\n},{}],890:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/*\n * Evaluates the derivative of a list of control point arrays. That is, it expects an array or arrays\n * that are expanded relative to the raw data to include the bicubic control points, if applicable. If\n * only linear interpolation is desired, then the data points correspond 1-1 along that axis to the\n * data itself. Since it's catmull-rom splines in either direction note in particular that the\n * derivatives are discontinuous across cell boundaries. That's the reason you need both the *cell*\n * and the *point within the cell*.\n *\n * Also note that the discontinuity of the derivative is in magnitude only. The direction *is*\n * continuous across cell boundaries.\n *\n * For example, to compute the derivative of the xcoordinate halfway betwen the 7 and 8th i-gridpoints\n * and the 10th and 11th j-gridpoints given bicubic smoothing in both dimensions, you'd write:\n *\n *     var deriv = createIDerivativeEvaluator([x], 1, 1);\n *\n *     var dxdi = deriv([], 7, 10, 0.5, 0.5);\n *     // => [0.12345]\n *\n * Since there'd be a bunch of duplicate computation to compute multiple derivatives, you can double\n * this up by providing more arrays:\n *\n *     var deriv = createIDerivativeEvaluator([x, y], 1, 1);\n *\n *     var dxdi = deriv([], 7, 10, 0.5, 0.5);\n *     // => [0.12345, 0.78910]\n *\n * NB: It's presumed that at this point all data has been sanitized and is valid numerical data arrays\n * of the correct dimension.\n */\nmodule.exports = function(arrays, asmoothing, bsmoothing) {\n    if(asmoothing && bsmoothing) {\n        return function(out, i0, j0, u, v) {\n            if(!out) out = [];\n            var f0, f1, f2, f3, ak, k;\n\n            // Since it's a grid of control points, the actual indices are * 3:\n            i0 *= 3;\n            j0 *= 3;\n\n            // Precompute some numbers:\n            var u2 = u * u;\n            var ou = 1 - u;\n            var ou2 = ou * ou;\n            var ouu2 = ou * u * 2;\n            var a = -3 * ou2;\n            var b = 3 * (ou2 - ouu2);\n            var c = 3 * (ouu2 - u2);\n            var d = 3 * u2;\n\n            var v2 = v * v;\n            var v3 = v2 * v;\n            var ov = 1 - v;\n            var ov2 = ov * ov;\n            var ov3 = ov2 * ov;\n\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n                // Compute the derivatives in the u-direction:\n                f0 = a * ak[j0 ][i0] + b * ak[j0 ][i0 + 1] + c * ak[j0 ][i0 + 2] + d * ak[j0 ][i0 + 3];\n                f1 = a * ak[j0 + 1][i0] + b * ak[j0 + 1][i0 + 1] + c * ak[j0 + 1][i0 + 2] + d * ak[j0 + 1][i0 + 3];\n                f2 = a * ak[j0 + 2][i0] + b * ak[j0 + 2][i0 + 1] + c * ak[j0 + 2][i0 + 2] + d * ak[j0 + 2][i0 + 3];\n                f3 = a * ak[j0 + 3][i0] + b * ak[j0 + 3][i0 + 1] + c * ak[j0 + 3][i0 + 2] + d * ak[j0 + 3][i0 + 3];\n\n                // Now just interpolate in the v-direction since it's all separable:\n                out[k] = ov3 * f0 + 3 * (ov2 * v * f1 + ov * v2 * f2) + v3 * f3;\n            }\n\n            return out;\n        };\n    } else if(asmoothing) {\n        // Handle smooth in the a-direction but linear in the b-direction by performing four\n        // linear interpolations followed by one cubic interpolation of the result\n        return function(out, i0, j0, u, v) {\n            if(!out) out = [];\n            var f0, f1, k, ak;\n            i0 *= 3;\n            var u2 = u * u;\n            var ou = 1 - u;\n            var ou2 = ou * ou;\n            var ouu2 = ou * u * 2;\n            var a = -3 * ou2;\n            var b = 3 * (ou2 - ouu2);\n            var c = 3 * (ouu2 - u2);\n            var d = 3 * u2;\n            var ov = 1 - v;\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n                f0 = a * ak[j0 ][i0] + b * ak[j0 ][i0 + 1] + c * ak[j0 ][i0 + 2] + d * ak[j0 ][i0 + 3];\n                f1 = a * ak[j0 + 1][i0] + b * ak[j0 + 1][i0 + 1] + c * ak[j0 + 1][i0 + 2] + d * ak[j0 + 1][i0 + 3];\n\n                out[k] = ov * f0 + v * f1;\n            }\n            return out;\n        };\n    } else if(bsmoothing) {\n        // Same as the above case, except reversed. I've disabled the no-unused vars rule\n        // so that this function is fully interpolation-agnostic. Otherwise it would need\n        // to be called differently in different cases. Which wouldn't be the worst, but\n        /* eslint-disable no-unused-vars */\n        return function(out, i0, j0, u, v) {\n        /* eslint-enable no-unused-vars */\n            if(!out) out = [];\n            var f0, f1, f2, f3, k, ak;\n            j0 *= 3;\n            var v2 = v * v;\n            var v3 = v2 * v;\n            var ov = 1 - v;\n            var ov2 = ov * ov;\n            var ov3 = ov2 * ov;\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n                f0 = ak[j0][i0 + 1] - ak[j0][i0];\n                f1 = ak[j0 + 1][i0 + 1] - ak[j0 + 1][i0];\n                f2 = ak[j0 + 2][i0 + 1] - ak[j0 + 2][i0];\n                f3 = ak[j0 + 3][i0 + 1] - ak[j0 + 3][i0];\n\n                out[k] = ov3 * f0 + 3 * (ov2 * v * f1 + ov * v2 * f2) + v3 * f3;\n            }\n            return out;\n        };\n    } else {\n        // Finally, both directions are linear:\n        /* eslint-disable no-unused-vars */\n        return function(out, i0, j0, u, v) {\n        /* eslint-enable no-unused-vars */\n            if(!out) out = [];\n            var f0, f1, k, ak;\n            var ov = 1 - v;\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n                f0 = ak[j0][i0 + 1] - ak[j0][i0];\n                f1 = ak[j0 + 1][i0 + 1] - ak[j0 + 1][i0];\n\n                out[k] = ov * f0 + v * f1;\n            }\n            return out;\n        };\n    }\n};\n\n},{}],891:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function(arrays, asmoothing, bsmoothing) {\n    if(asmoothing && bsmoothing) {\n        return function(out, i0, j0, u, v) {\n            if(!out) out = [];\n            var f0, f1, f2, f3, ak, k;\n\n            // Since it's a grid of control points, the actual indices are * 3:\n            i0 *= 3;\n            j0 *= 3;\n\n            // Precompute some numbers:\n            var u2 = u * u;\n            var u3 = u2 * u;\n            var ou = 1 - u;\n            var ou2 = ou * ou;\n            var ou3 = ou2 * ou;\n\n            var v2 = v * v;\n            var ov = 1 - v;\n            var ov2 = ov * ov;\n            var ovv2 = ov * v * 2;\n            var a = -3 * ov2;\n            var b = 3 * (ov2 - ovv2);\n            var c = 3 * (ovv2 - v2);\n            var d = 3 * v2;\n\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n\n                // Compute the derivatives in the v-direction:\n                f0 = a * ak[j0][i0] + b * ak[j0 + 1][i0] + c * ak[j0 + 2][i0] + d * ak[j0 + 3][i0];\n                f1 = a * ak[j0][i0 + 1] + b * ak[j0 + 1][i0 + 1] + c * ak[j0 + 2][i0 + 1] + d * ak[j0 + 3][i0 + 1];\n                f2 = a * ak[j0][i0 + 2] + b * ak[j0 + 1][i0 + 2] + c * ak[j0 + 2][i0 + 2] + d * ak[j0 + 3][i0 + 2];\n                f3 = a * ak[j0][i0 + 3] + b * ak[j0 + 1][i0 + 3] + c * ak[j0 + 2][i0 + 3] + d * ak[j0 + 3][i0 + 3];\n\n                // Now just interpolate in the v-direction since it's all separable:\n                out[k] = ou3 * f0 + 3 * (ou2 * u * f1 + ou * u2 * f2) + u3 * f3;\n            }\n\n            return out;\n        };\n    } else if(asmoothing) {\n        // Handle smooth in the a-direction but linear in the b-direction by performing four\n        // linear interpolations followed by one cubic interpolation of the result\n        return function(out, i0, j0, v, u) {\n            if(!out) out = [];\n            var f0, f1, f2, f3, k, ak;\n            i0 *= 3;\n            var u2 = u * u;\n            var u3 = u2 * u;\n            var ou = 1 - u;\n            var ou2 = ou * ou;\n            var ou3 = ou2 * ou;\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n\n                f0 = ak[j0 + 1][i0] - ak[j0][i0];\n                f1 = ak[j0 + 1][i0 + 1] - ak[j0][i0 + 1];\n                f2 = ak[j0 + 1][i0 + 2] - ak[j0][i0 + 2];\n                f3 = ak[j0 + 1][i0 + 3] - ak[j0][i0 + 3];\n\n                out[k] = ou3 * f0 + 3 * (ou2 * u * f1 + ou * u2 * f2) + u3 * f3;\n\n                // mathematically equivalent:\n                // f0 = ou3 * ak[j0    ][i0] + 3 * (ou2 * u * ak[j0    ][i0 + 1] + ou * u2 * ak[j0    ][i0 + 2]) + u3 * ak[j0    ][i0 + 3];\n                // f1 = ou3 * ak[j0 + 1][i0] + 3 * (ou2 * u * ak[j0 + 1][i0 + 1] + ou * u2 * ak[j0 + 1][i0 + 2]) + u3 * ak[j0 + 1][i0 + 3];\n                // out[k] = f1 - f0;\n            }\n            return out;\n        };\n    } else if(bsmoothing) {\n        // Same as the above case, except reversed:\n        /* eslint-disable no-unused-vars */\n        return function(out, i0, j0, u, v) {\n        /* eslint-enable no-unused-vars */\n            if(!out) out = [];\n            var f0, f1, k, ak;\n            j0 *= 3;\n            var ou = 1 - u;\n            var v2 = v * v;\n            var ov = 1 - v;\n            var ov2 = ov * ov;\n            var ovv2 = ov * v * 2;\n            var a = -3 * ov2;\n            var b = 3 * (ov2 - ovv2);\n            var c = 3 * (ovv2 - v2);\n            var d = 3 * v2;\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n                f0 = a * ak[j0][i0] + b * ak[j0 + 1][i0] + c * ak[j0 + 2][i0] + d * ak[j0 + 3][i0];\n                f1 = a * ak[j0][i0 + 1] + b * ak[j0 + 1][i0 + 1] + c * ak[j0 + 2][i0 + 1] + d * ak[j0 + 3][i0 + 1];\n\n                out[k] = ou * f0 + u * f1;\n            }\n            return out;\n        };\n    } else {\n        // Finally, both directions are linear:\n        /* eslint-disable no-unused-vars */\n        return function(out, i0, j0, v, u) {\n        /* eslint-enable no-unused-vars */\n            if(!out) out = [];\n            var f0, f1, k, ak;\n            var ov = 1 - v;\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n                f0 = ak[j0 + 1][i0] - ak[j0][i0];\n                f1 = ak[j0 + 1][i0 + 1] - ak[j0][i0 + 1];\n\n                out[k] = ov * f0 + v * f1;\n            }\n            return out;\n        };\n    }\n\n};\n\n},{}],892:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/*\n * Return a function that evaluates a set of linear or bicubic control points.\n * This will get evaluated a lot, so we'll at least do a bit of extra work to\n * flatten some of the choices. In particular, we'll unroll the linear/bicubic\n * combinations and we'll allow computing results in parallel to cut down\n * on repeated arithmetic.\n *\n * Take note that we don't search for the correct range in this function. The\n * reason is for consistency due to the corrresponding derivative function. In\n * particular, the derivatives aren't continuous across cells, so it's important\n * to be able control whether the derivative at a cell boundary is approached\n * from one side or the other.\n */\nmodule.exports = function(arrays, na, nb, asmoothing, bsmoothing) {\n    var imax = na - 2;\n    var jmax = nb - 2;\n\n    if(asmoothing && bsmoothing) {\n        return function(out, i, j) {\n            if(!out) out = [];\n            var f0, f1, f2, f3, ak, k;\n\n            var i0 = Math.max(0, Math.min(Math.floor(i), imax));\n            var j0 = Math.max(0, Math.min(Math.floor(j), jmax));\n            var u = Math.max(0, Math.min(1, i - i0));\n            var v = Math.max(0, Math.min(1, j - j0));\n\n            // Since it's a grid of control points, the actual indices are * 3:\n            i0 *= 3;\n            j0 *= 3;\n\n            // Precompute some numbers:\n            var u2 = u * u;\n            var u3 = u2 * u;\n            var ou = 1 - u;\n            var ou2 = ou * ou;\n            var ou3 = ou2 * ou;\n\n            var v2 = v * v;\n            var v3 = v2 * v;\n            var ov = 1 - v;\n            var ov2 = ov * ov;\n            var ov3 = ov2 * ov;\n\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n                f0 = ou3 * ak[j0][i0] + 3 * (ou2 * u * ak[j0][i0 + 1] + ou * u2 * ak[j0][i0 + 2]) + u3 * ak[j0][i0 + 3];\n                f1 = ou3 * ak[j0 + 1][i0] + 3 * (ou2 * u * ak[j0 + 1][i0 + 1] + ou * u2 * ak[j0 + 1][i0 + 2]) + u3 * ak[j0 + 1][i0 + 3];\n                f2 = ou3 * ak[j0 + 2][i0] + 3 * (ou2 * u * ak[j0 + 2][i0 + 1] + ou * u2 * ak[j0 + 2][i0 + 2]) + u3 * ak[j0 + 2][i0 + 3];\n                f3 = ou3 * ak[j0 + 3][i0] + 3 * (ou2 * u * ak[j0 + 3][i0 + 1] + ou * u2 * ak[j0 + 3][i0 + 2]) + u3 * ak[j0 + 3][i0 + 3];\n                out[k] = ov3 * f0 + 3 * (ov2 * v * f1 + ov * v2 * f2) + v3 * f3;\n            }\n\n            return out;\n        };\n    } else if(asmoothing) {\n        // Handle smooth in the a-direction but linear in the b-direction by performing four\n        // linear interpolations followed by one cubic interpolation of the result\n        return function(out, i, j) {\n            if(!out) out = [];\n\n            var i0 = Math.max(0, Math.min(Math.floor(i), imax));\n            var j0 = Math.max(0, Math.min(Math.floor(j), jmax));\n            var u = Math.max(0, Math.min(1, i - i0));\n            var v = Math.max(0, Math.min(1, j - j0));\n\n            var f0, f1, f2, f3, k, ak;\n            i0 *= 3;\n            var u2 = u * u;\n            var u3 = u2 * u;\n            var ou = 1 - u;\n            var ou2 = ou * ou;\n            var ou3 = ou2 * ou;\n            var ov = 1 - v;\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n                f0 = ov * ak[j0][i0] + v * ak[j0 + 1][i0];\n                f1 = ov * ak[j0][i0 + 1] + v * ak[j0 + 1][i0 + 1];\n                f2 = ov * ak[j0][i0 + 2] + v * ak[j0 + 1][i0 + 1];\n                f3 = ov * ak[j0][i0 + 3] + v * ak[j0 + 1][i0 + 1];\n\n                out[k] = ou3 * f0 + 3 * (ou2 * u * f1 + ou * u2 * f2) + u3 * f3;\n            }\n            return out;\n        };\n    } else if(bsmoothing) {\n        // Same as the above case, except reversed:\n        return function(out, i, j) {\n            if(!out) out = [];\n\n            var i0 = Math.max(0, Math.min(Math.floor(i), imax));\n            var j0 = Math.max(0, Math.min(Math.floor(j), jmax));\n            var u = Math.max(0, Math.min(1, i - i0));\n            var v = Math.max(0, Math.min(1, j - j0));\n\n            var f0, f1, f2, f3, k, ak;\n            j0 *= 3;\n            var v2 = v * v;\n            var v3 = v2 * v;\n            var ov = 1 - v;\n            var ov2 = ov * ov;\n            var ov3 = ov2 * ov;\n            var ou = 1 - u;\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n                f0 = ou * ak[j0][i0] + u * ak[j0][i0 + 1];\n                f1 = ou * ak[j0 + 1][i0] + u * ak[j0 + 1][i0 + 1];\n                f2 = ou * ak[j0 + 2][i0] + u * ak[j0 + 2][i0 + 1];\n                f3 = ou * ak[j0 + 3][i0] + u * ak[j0 + 3][i0 + 1];\n\n                out[k] = ov3 * f0 + 3 * (ov2 * v * f1 + ov * v2 * f2) + v3 * f3;\n            }\n            return out;\n        };\n    } else {\n        // Finally, both directions are linear:\n        return function(out, i, j) {\n            if(!out) out = [];\n\n            var i0 = Math.max(0, Math.min(Math.floor(i), imax));\n            var j0 = Math.max(0, Math.min(Math.floor(j), jmax));\n            var u = Math.max(0, Math.min(1, i - i0));\n            var v = Math.max(0, Math.min(1, j - j0));\n\n            var f0, f1, k, ak;\n            var ov = 1 - v;\n            var ou = 1 - u;\n            for(k = 0; k < arrays.length; k++) {\n                ak = arrays[k];\n                f0 = ou * ak[j0][i0] + u * ak[j0][i0 + 1];\n                f1 = ou * ak[j0 + 1][i0] + u * ak[j0 + 1][i0 + 1];\n\n                out[k] = ov * f0 + v * f1;\n            }\n            return out;\n        };\n    }\n\n};\n\n},{}],893:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar handleXYDefaults = _dereq_('./xy_defaults');\nvar handleABDefaults = _dereq_('./ab_defaults');\nvar attributes = _dereq_('./attributes');\nvar colorAttrs = _dereq_('../../components/color/attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, dfltColor, fullLayout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    traceOut._clipPathId = 'clip' + traceOut.uid + 'carpet';\n\n    var defaultColor = coerce('color', colorAttrs.defaultLine);\n    Lib.coerceFont(coerce, 'font');\n\n    coerce('carpet');\n\n    handleABDefaults(traceIn, traceOut, fullLayout, coerce, defaultColor);\n\n    if(!traceOut.a || !traceOut.b) {\n        traceOut.visible = false;\n        return;\n    }\n\n    if(traceOut.a.length < 3) {\n        traceOut.aaxis.smoothing = 0;\n    }\n\n    if(traceOut.b.length < 3) {\n        traceOut.baxis.smoothing = 0;\n    }\n\n    // NB: the input is x/y arrays. You should know that the *first* dimension of x and y\n    // corresponds to b and the second to a. This sounds backwards but ends up making sense\n    // the important part to know is that when you write y[j][i], j goes from 0 to b.length - 1\n    // and i goes from 0 to a.length - 1.\n    var validData = handleXYDefaults(traceIn, traceOut, coerce);\n    if(!validData) {\n        traceOut.visible = false;\n    }\n\n    if(traceOut._cheater) {\n        coerce('cheaterslope');\n    }\n};\n\n},{\"../../components/color/attributes\":569,\"../../lib\":696,\"./ab_defaults\":876,\"./attributes\":878,\"./xy_defaults\":902}],894:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Carpet = {};\n\nCarpet.attributes = _dereq_('./attributes');\nCarpet.supplyDefaults = _dereq_('./defaults');\nCarpet.plot = _dereq_('./plot');\nCarpet.calc = _dereq_('./calc');\nCarpet.animatable = true;\nCarpet.isContainer = true; // so carpet traces get `calc` before other traces\n\nCarpet.moduleType = 'trace';\nCarpet.name = 'carpet';\nCarpet.basePlotModule = _dereq_('../../plots/cartesian');\nCarpet.categories = ['cartesian', 'svg', 'carpet', 'carpetAxis', 'notLegendIsolatable'];\nCarpet.meta = {\n    \n};\n\nmodule.exports = Carpet;\n\n},{\"../../plots/cartesian\":757,\"./attributes\":878,\"./calc\":882,\"./defaults\":893,\"./plot\":899}],895:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/*\n * Given a trace, look up the carpet axis by carpet.\n */\nmodule.exports = function(gd, trace) {\n    var n = gd._fullData.length;\n    var firstAxis;\n    for(var i = 0; i < n; i++) {\n        var maybeCarpet = gd._fullData[i];\n\n        if(maybeCarpet.index === trace.index) continue;\n\n        if(maybeCarpet.type === 'carpet') {\n            if(!firstAxis) {\n                firstAxis = maybeCarpet;\n            }\n\n            if(maybeCarpet.carpet === trace.carpet) {\n                return maybeCarpet;\n            }\n        }\n    }\n\n    return firstAxis;\n};\n\n},{}],896:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function makePath(xp, yp, isBicubic) {\n    // Prevent d3 errors that would result otherwise:\n    if(xp.length === 0) return '';\n\n    var i, path = [];\n    var stride = isBicubic ? 3 : 1;\n    for(i = 0; i < xp.length; i += stride) {\n        path.push(xp[i] + ',' + yp[i]);\n\n        if(isBicubic && i < xp.length - stride) {\n            path.push('C');\n            path.push([\n                xp[i + 1] + ',' + yp[i + 1],\n                xp[i + 2] + ',' + yp[i + 2] + ' ',\n            ].join(' '));\n        }\n    }\n    return path.join(isBicubic ? '' : 'L');\n};\n\n},{}],897:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isArrayOrTypedArray = _dereq_('../../lib').isArrayOrTypedArray;\n\n/*\n * Map an array of x or y coordinates (c) to screen-space pixel coordinates (p).\n * The output array is optional, but if provided, it will be reused without\n * reallocation to the extent possible.\n */\nmodule.exports = function mapArray(out, data, func) {\n    var i;\n\n    if(!isArrayOrTypedArray(out)) {\n        // If not an array, make it an array:\n        out = [];\n    } else if(out.length > data.length) {\n        // If too long, truncate. (If too short, it will grow\n        // automatically so we don't care about that case)\n        out = out.slice(0, data.length);\n    }\n\n    for(i = 0; i < data.length; i++) {\n        out[i] = func(data[i]);\n    }\n\n    return out;\n};\n\n},{\"../../lib\":696}],898:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = function orientText(trace, xaxis, yaxis, xy, dxy, refDxy) {\n    var dx = dxy[0] * trace.dpdx(xaxis);\n    var dy = dxy[1] * trace.dpdy(yaxis);\n    var flip = 1;\n\n    var offsetMultiplier = 1.0;\n    if(refDxy) {\n        var l1 = Math.sqrt(dxy[0] * dxy[0] + dxy[1] * dxy[1]);\n        var l2 = Math.sqrt(refDxy[0] * refDxy[0] + refDxy[1] * refDxy[1]);\n        var dot = (dxy[0] * refDxy[0] + dxy[1] * refDxy[1]) / l1 / l2;\n        offsetMultiplier = Math.max(0.0, dot);\n    }\n\n    var angle = Math.atan2(dy, dx) * 180 / Math.PI;\n    if(angle < -90) {\n        angle += 180;\n        flip = -flip;\n    } else if(angle > 90) {\n        angle -= 180;\n        flip = -flip;\n    }\n\n    return {\n        angle: angle,\n        flip: flip,\n        p: trace.c2p(xy, xaxis, yaxis),\n        offsetMultplier: offsetMultiplier\n    };\n};\n\n},{}],899:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Drawing = _dereq_('../../components/drawing');\nvar map1dArray = _dereq_('./map_1d_array');\nvar makepath = _dereq_('./makepath');\nvar orientText = _dereq_('./orient_text');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar Lib = _dereq_('../../lib');\nvar alignmentConstants = _dereq_('../../constants/alignment');\n\nmodule.exports = function plot(gd, plotinfo, cdcarpet, carpetLayer) {\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n    var fullLayout = gd._fullLayout;\n    var clipLayer = fullLayout._clips;\n\n    Lib.makeTraceGroups(carpetLayer, cdcarpet, 'trace').each(function(cd) {\n        var axisLayer = d3.select(this);\n        var cd0 = cd[0];\n        var trace = cd0.trace;\n        var aax = trace.aaxis;\n        var bax = trace.baxis;\n\n        var minorLayer = Lib.ensureSingle(axisLayer, 'g', 'minorlayer');\n        var majorLayer = Lib.ensureSingle(axisLayer, 'g', 'majorlayer');\n        var boundaryLayer = Lib.ensureSingle(axisLayer, 'g', 'boundarylayer');\n        var labelLayer = Lib.ensureSingle(axisLayer, 'g', 'labellayer');\n\n        axisLayer.style('opacity', trace.opacity);\n\n        drawGridLines(xa, ya, majorLayer, aax, 'a', aax._gridlines, true);\n        drawGridLines(xa, ya, majorLayer, bax, 'b', bax._gridlines, true);\n        drawGridLines(xa, ya, minorLayer, aax, 'a', aax._minorgridlines, true);\n        drawGridLines(xa, ya, minorLayer, bax, 'b', bax._minorgridlines, true);\n\n        // NB: These are not ommitted if the lines are not active. The joins must be executed\n        // in order for them to get cleaned up without a full redraw\n        drawGridLines(xa, ya, boundaryLayer, aax, 'a-boundary', aax._boundarylines);\n        drawGridLines(xa, ya, boundaryLayer, bax, 'b-boundary', bax._boundarylines);\n\n        var labelOrientationA = drawAxisLabels(gd, xa, ya, trace, cd0, labelLayer, aax._labels, 'a-label');\n        var labelOrientationB = drawAxisLabels(gd, xa, ya, trace, cd0, labelLayer, bax._labels, 'b-label');\n\n        drawAxisTitles(gd, labelLayer, trace, cd0, xa, ya, labelOrientationA, labelOrientationB);\n\n        drawClipPath(trace, cd0, clipLayer, xa, ya);\n    });\n};\n\nfunction drawClipPath(trace, t, layer, xaxis, yaxis) {\n    var seg, xp, yp, i;\n\n    var clip = layer.select('#' + trace._clipPathId);\n\n    if(!clip.size()) {\n        clip = layer.append('clipPath')\n            .classed('carpetclip', true);\n    }\n\n    var path = Lib.ensureSingle(clip, 'path', 'carpetboundary');\n    var segments = t.clipsegments;\n    var segs = [];\n\n    for(i = 0; i < segments.length; i++) {\n        seg = segments[i];\n        xp = map1dArray([], seg.x, xaxis.c2p);\n        yp = map1dArray([], seg.y, yaxis.c2p);\n        segs.push(makepath(xp, yp, seg.bicubic));\n    }\n\n    // This could be optimized ever so slightly to avoid no-op L segments\n    // at the corners, but it's so negligible that I don't think it's worth\n    // the extra complexity\n    var clipPathData = 'M' + segs.join('L') + 'Z';\n    clip.attr('id', trace._clipPathId);\n    path.attr('d', clipPathData);\n}\n\nfunction drawGridLines(xaxis, yaxis, layer, axis, axisLetter, gridlines) {\n    var lineClass = 'const-' + axisLetter + '-lines';\n    var gridJoin = layer.selectAll('.' + lineClass).data(gridlines);\n\n    gridJoin.enter().append('path')\n        .classed(lineClass, true)\n        .style('vector-effect', 'non-scaling-stroke');\n\n    gridJoin.each(function(d) {\n        var gridline = d;\n        var x = gridline.x;\n        var y = gridline.y;\n\n        var xp = map1dArray([], x, xaxis.c2p);\n        var yp = map1dArray([], y, yaxis.c2p);\n\n        var path = 'M' + makepath(xp, yp, gridline.smoothing);\n\n        var el = d3.select(this);\n\n        el.attr('d', path)\n            .style('stroke-width', gridline.width)\n            .style('stroke', gridline.color)\n            .style('fill', 'none');\n    });\n\n    gridJoin.exit().remove();\n}\n\nfunction drawAxisLabels(gd, xaxis, yaxis, trace, t, layer, labels, labelClass) {\n    var labelJoin = layer.selectAll('text.' + labelClass).data(labels);\n\n    labelJoin.enter().append('text')\n        .classed(labelClass, true);\n\n    var maxExtent = 0;\n    var labelOrientation = {};\n\n    labelJoin.each(function(label, i) {\n        // Most of the positioning is done in calc_labels. Only the parts that depend upon\n        // the screen space representation of the x and y axes are here:\n        var orientation;\n        if(label.axis.tickangle === 'auto') {\n            orientation = orientText(trace, xaxis, yaxis, label.xy, label.dxy);\n        } else {\n            var angle = (label.axis.tickangle + 180.0) * Math.PI / 180.0;\n            orientation = orientText(trace, xaxis, yaxis, label.xy, [Math.cos(angle), Math.sin(angle)]);\n        }\n\n        if(!i) {\n            // TODO: offsetMultiplier? Not currently used anywhere...\n            labelOrientation = {angle: orientation.angle, flip: orientation.flip};\n        }\n        var direction = (label.endAnchor ? -1 : 1) * orientation.flip;\n\n        var labelEl = d3.select(this)\n            .attr({\n                'text-anchor': direction > 0 ? 'start' : 'end',\n                'data-notex': 1\n            })\n            .call(Drawing.font, label.font)\n            .text(label.text)\n            .call(svgTextUtils.convertToTspans, gd);\n\n        var bbox = Drawing.bBox(this);\n\n        labelEl.attr('transform',\n                // Translate to the correct point:\n                'translate(' + orientation.p[0] + ',' + orientation.p[1] + ') ' +\n                // Rotate to line up with grid line tangent:\n                'rotate(' + orientation.angle + ')' +\n                // Adjust the baseline and indentation:\n                'translate(' + label.axis.labelpadding * direction + ',' + bbox.height * 0.3 + ')'\n            );\n\n        maxExtent = Math.max(maxExtent, bbox.width + label.axis.labelpadding);\n    });\n\n    labelJoin.exit().remove();\n\n    labelOrientation.maxExtent = maxExtent;\n    return labelOrientation;\n}\n\nfunction drawAxisTitles(gd, layer, trace, t, xa, ya, labelOrientationA, labelOrientationB) {\n    var a, b, xy, dxy;\n\n    a = 0.5 * (trace.a[0] + trace.a[trace.a.length - 1]);\n    b = trace.b[0];\n    xy = trace.ab2xy(a, b, true);\n    dxy = trace.dxyda_rough(a, b);\n    if(labelOrientationA.angle === undefined) {\n        Lib.extendFlat(labelOrientationA, orientText(trace, xa, ya, xy, trace.dxydb_rough(a, b)));\n    }\n    drawAxisTitle(gd, layer, trace, t, xy, dxy, trace.aaxis, xa, ya, labelOrientationA, 'a-title');\n\n    a = trace.a[0];\n    b = 0.5 * (trace.b[0] + trace.b[trace.b.length - 1]);\n    xy = trace.ab2xy(a, b, true);\n    dxy = trace.dxydb_rough(a, b);\n    if(labelOrientationB.angle === undefined) {\n        Lib.extendFlat(labelOrientationB, orientText(trace, xa, ya, xy, trace.dxyda_rough(a, b)));\n    }\n    drawAxisTitle(gd, layer, trace, t, xy, dxy, trace.baxis, xa, ya, labelOrientationB, 'b-title');\n}\n\nvar lineSpacing = alignmentConstants.LINE_SPACING;\nvar midShift = ((1 - alignmentConstants.MID_SHIFT) / lineSpacing) + 1;\n\nfunction drawAxisTitle(gd, layer, trace, t, xy, dxy, axis, xa, ya, labelOrientation, labelClass) {\n    var data = [];\n    if(axis.title) data.push(axis.title);\n    var titleJoin = layer.selectAll('text.' + labelClass).data(data);\n    var offset = labelOrientation.maxExtent;\n\n    titleJoin.enter().append('text')\n        .classed(labelClass, true);\n\n    // There's only one, but we'll do it as a join so it's updated nicely:\n    titleJoin.each(function() {\n        var orientation = orientText(trace, xa, ya, xy, dxy);\n\n        if(['start', 'both'].indexOf(axis.showticklabels) === -1) {\n            offset = 0;\n        }\n\n        // In addition to the size of the labels, add on some extra padding:\n        var titleSize = axis.titlefont.size;\n        offset += titleSize + axis.titleoffset;\n\n        var labelNorm = labelOrientation.angle + (labelOrientation.flip < 0 ? 180 : 0);\n        var angleDiff = (labelNorm - orientation.angle + 450) % 360;\n        var reverseTitle = angleDiff > 90 && angleDiff < 270;\n\n        var el = d3.select(this);\n\n        el.text(axis.title || '')\n            .call(svgTextUtils.convertToTspans, gd);\n\n        if(reverseTitle) {\n            offset = (-svgTextUtils.lineCount(el) + midShift) * lineSpacing * titleSize - offset;\n        }\n\n        el.attr('transform',\n                'translate(' + orientation.p[0] + ',' + orientation.p[1] + ') ' +\n                'rotate(' + orientation.angle + ') ' +\n                'translate(0,' + offset + ')'\n            )\n            .classed('user-select-none', true)\n            .attr('text-anchor', 'middle')\n            .call(Drawing.font, axis.titlefont);\n    });\n\n    titleJoin.exit().remove();\n}\n\n},{\"../../components/drawing\":595,\"../../constants/alignment\":668,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"./makepath\":896,\"./map_1d_array\":897,\"./orient_text\":898,\"d3\":148}],900:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar constants = _dereq_('./constants');\nvar search = _dereq_('../../lib/search').findBin;\nvar computeControlPoints = _dereq_('./compute_control_points');\nvar createSplineEvaluator = _dereq_('./create_spline_evaluator');\nvar createIDerivativeEvaluator = _dereq_('./create_i_derivative_evaluator');\nvar createJDerivativeEvaluator = _dereq_('./create_j_derivative_evaluator');\n\n/*\n * Create conversion functions to go from one basis to another. In particular the letter\n * abbreviations are:\n *\n *   i: i/j coordinates along the grid. Integer values correspond to data points\n *   a: real-valued coordinates along the a/b axes\n *   c: cartesian x-y coordinates\n *   p: screen-space pixel coordinates\n */\nmodule.exports = function setConvert(trace) {\n    var a = trace._a;\n    var b = trace._b;\n    var na = a.length;\n    var nb = b.length;\n    var aax = trace.aaxis;\n    var bax = trace.baxis;\n\n    // Grab the limits once rather than recomputing the bounds for every point\n    // independently:\n    var amin = a[0];\n    var amax = a[na - 1];\n    var bmin = b[0];\n    var bmax = b[nb - 1];\n    var arange = a[a.length - 1] - a[0];\n    var brange = b[b.length - 1] - b[0];\n\n    // Compute the tolerance so that points are visible slightly outside the\n    // defined carpet axis:\n    var atol = arange * constants.RELATIVE_CULL_TOLERANCE;\n    var btol = brange * constants.RELATIVE_CULL_TOLERANCE;\n\n    // Expand the limits to include the relative tolerance:\n    amin -= atol;\n    amax += atol;\n    bmin -= btol;\n    bmax += btol;\n\n    trace.isVisible = function(a, b) {\n        return a > amin && a < amax && b > bmin && b < bmax;\n    };\n\n    trace.isOccluded = function(a, b) {\n        return a < amin || a > amax || b < bmin || b > bmax;\n    };\n\n    trace.setScale = function() {\n        var x = trace._x;\n        var y = trace._y;\n\n        // This is potentially a very expensive step! It does the bulk of the work of constructing\n        // an expanded basis of control points. Note in particular that it overwrites the existing\n        // basis without creating a new array since that would potentially thrash the garbage\n        // collector.\n        var result = computeControlPoints(trace._xctrl, trace._yctrl, x, y, aax.smoothing, bax.smoothing);\n        trace._xctrl = result[0];\n        trace._yctrl = result[1];\n\n        // This step is the second step in the process, but it's somewhat simpler. It just unrolls\n        // some logic since it would be unnecessarily expensive to compute both interpolations\n        // nearly identically but separately and to include a bunch of linear vs. bicubic logic in\n        // every single call.\n        trace.evalxy = createSplineEvaluator([trace._xctrl, trace._yctrl], na, nb, aax.smoothing, bax.smoothing);\n\n        trace.dxydi = createIDerivativeEvaluator([trace._xctrl, trace._yctrl], aax.smoothing, bax.smoothing);\n        trace.dxydj = createJDerivativeEvaluator([trace._xctrl, trace._yctrl], aax.smoothing, bax.smoothing);\n    };\n\n    /*\n     * Convert from i/j data grid coordinates to a/b values. Note in particular that this\n     * is *linear* interpolation, even if the data is interpolated bicubically.\n     */\n    trace.i2a = function(i) {\n        var i0 = Math.max(0, Math.floor(i[0]), na - 2);\n        var ti = i[0] - i0;\n        return (1 - ti) * a[i0] + ti * a[i0 + 1];\n    };\n\n    trace.j2b = function(j) {\n        var j0 = Math.max(0, Math.floor(j[1]), na - 2);\n        var tj = j[1] - j0;\n        return (1 - tj) * b[j0] + tj * b[j0 + 1];\n    };\n\n    trace.ij2ab = function(ij) {\n        return [trace.i2a(ij[0]), trace.j2b(ij[1])];\n    };\n\n    /*\n     * Convert from a/b coordinates to i/j grid-numbered coordinates. This requires searching\n     * through the a/b data arrays and assumes they are monotonic, which is presumed to have\n     * been enforced already.\n     */\n    trace.a2i = function(aval) {\n        var i0 = Math.max(0, Math.min(search(aval, a), na - 2));\n        var a0 = a[i0];\n        var a1 = a[i0 + 1];\n        return Math.max(0, Math.min(na - 1, i0 + (aval - a0) / (a1 - a0)));\n    };\n\n    trace.b2j = function(bval) {\n        var j0 = Math.max(0, Math.min(search(bval, b), nb - 2));\n        var b0 = b[j0];\n        var b1 = b[j0 + 1];\n        return Math.max(0, Math.min(nb - 1, j0 + (bval - b0) / (b1 - b0)));\n    };\n\n    trace.ab2ij = function(ab) {\n        return [trace.a2i(ab[0]), trace.b2j(ab[1])];\n    };\n\n    /*\n     * Convert from i/j coordinates to x/y caretesian coordinates. This means either bilinear\n     * or bicubic spline evaluation, but the hard part is already done at this point.\n     */\n    trace.i2c = function(i, j) {\n        return trace.evalxy([], i, j);\n    };\n\n    trace.ab2xy = function(aval, bval, extrapolate) {\n        if(!extrapolate && (aval < a[0] || aval > a[na - 1] | bval < b[0] || bval > b[nb - 1])) {\n            return [false, false];\n        }\n        var i = trace.a2i(aval);\n        var j = trace.b2j(bval);\n\n        var pt = trace.evalxy([], i, j);\n\n        if(extrapolate) {\n            // This section uses the boundary derivatives to extrapolate linearly outside\n            // the defined range. Consider a scatter line with one point inside the carpet\n            // axis and one point outside. If we don't extrapolate, we can't draw the line\n            // at all.\n            var iex = 0;\n            var jex = 0;\n            var der = [];\n\n            var i0, ti, j0, tj;\n            if(aval < a[0]) {\n                i0 = 0;\n                ti = 0;\n                iex = (aval - a[0]) / (a[1] - a[0]);\n            } else if(aval > a[na - 1]) {\n                i0 = na - 2;\n                ti = 1;\n                iex = (aval - a[na - 1]) / (a[na - 1] - a[na - 2]);\n            } else {\n                i0 = Math.max(0, Math.min(na - 2, Math.floor(i)));\n                ti = i - i0;\n            }\n\n            if(bval < b[0]) {\n                j0 = 0;\n                tj = 0;\n                jex = (bval - b[0]) / (b[1] - b[0]);\n            } else if(bval > b[nb - 1]) {\n                j0 = nb - 2;\n                tj = 1;\n                jex = (bval - b[nb - 1]) / (b[nb - 1] - b[nb - 2]);\n            } else {\n                j0 = Math.max(0, Math.min(nb - 2, Math.floor(j)));\n                tj = j - j0;\n            }\n\n            if(iex) {\n                trace.dxydi(der, i0, j0, ti, tj);\n                pt[0] += der[0] * iex;\n                pt[1] += der[1] * iex;\n            }\n\n            if(jex) {\n                trace.dxydj(der, i0, j0, ti, tj);\n                pt[0] += der[0] * jex;\n                pt[1] += der[1] * jex;\n            }\n        }\n\n        return pt;\n    };\n\n\n    trace.c2p = function(xy, xa, ya) {\n        return [xa.c2p(xy[0]), ya.c2p(xy[1])];\n    };\n\n    trace.p2x = function(p, xa, ya) {\n        return [xa.p2c(p[0]), ya.p2c(p[1])];\n    };\n\n    trace.dadi = function(i /* , u*/) {\n        // Right now only a piecewise linear a or b basis is permitted since smoother interpolation\n        // would cause monotonicity problems. As a retult, u is entirely disregarded in this\n        // computation, though we'll specify it as a parameter for the sake of completeness and\n        // future-proofing. It would be possible to use monotonic cubic interpolation, for example.\n        //\n        // See: https://en.wikipedia.org/wiki/Monotone_cubic_interpolation\n\n        // u = u || 0;\n\n        var i0 = Math.max(0, Math.min(a.length - 2, i));\n\n        // The step (demoninator) is implicitly 1 since that's the grid spacing.\n        return a[i0 + 1] - a[i0];\n    };\n\n    trace.dbdj = function(j /* , v*/) {\n        // See above caveats for dadi which also apply here\n        var j0 = Math.max(0, Math.min(b.length - 2, j));\n\n        // The step (demoninator) is implicitly 1 since that's the grid spacing.\n        return b[j0 + 1] - b[j0];\n    };\n\n    // Takes: grid cell coordinate (i, j) and fractional grid cell coordinates (u, v)\n    // Returns: (dx/da, dy/db)\n    //\n    // NB: separate grid cell + fractional grid cell coordinate format is due to the discontinuous\n    // derivative, as described better in create_i_derivative_evaluator.js\n    trace.dxyda = function(i0, j0, u, v) {\n        var dxydi = trace.dxydi(null, i0, j0, u, v);\n        var dadi = trace.dadi(i0, u);\n\n        return [dxydi[0] / dadi, dxydi[1] / dadi];\n    };\n\n    trace.dxydb = function(i0, j0, u, v) {\n        var dxydj = trace.dxydj(null, i0, j0, u, v);\n        var dbdj = trace.dbdj(j0, v);\n\n        return [dxydj[0] / dbdj, dxydj[1] / dbdj];\n    };\n\n    // Sometimes we don't care about precision and all we really want is decent rough\n    // directions (as is the case with labels). In that case, we can do a very rough finite\n    // difference and spare having to worry about precise grid coordinates:\n    trace.dxyda_rough = function(a, b, reldiff) {\n        var h = arange * (reldiff || 0.1);\n        var plus = trace.ab2xy(a + h, b, true);\n        var minus = trace.ab2xy(a - h, b, true);\n\n        return [\n            (plus[0] - minus[0]) * 0.5 / h,\n            (plus[1] - minus[1]) * 0.5 / h\n        ];\n    };\n\n    trace.dxydb_rough = function(a, b, reldiff) {\n        var h = brange * (reldiff || 0.1);\n        var plus = trace.ab2xy(a, b + h, true);\n        var minus = trace.ab2xy(a, b - h, true);\n\n        return [\n            (plus[0] - minus[0]) * 0.5 / h,\n            (plus[1] - minus[1]) * 0.5 / h\n        ];\n    };\n\n    trace.dpdx = function(xa) {\n        return xa._m;\n    };\n\n    trace.dpdy = function(ya) {\n        return ya._m;\n    };\n};\n\n},{\"../../lib/search\":716,\"./compute_control_points\":888,\"./constants\":889,\"./create_i_derivative_evaluator\":890,\"./create_j_derivative_evaluator\":891,\"./create_spline_evaluator\":892}],901:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\n/*\n * Given a 2D array as well as a basis in either direction, this function fills in the\n * 2D array using a combination of smoothing and extrapolation. This is rather important\n * for carpet plots since it's used for layout so that we can't simply omit or blank out\n * points. We need a reasonable guess so that the interpolation puts points somewhere\n * even if we were to somehow represent that the data was missing later on.\n *\n * input:\n *  - data: 2D array of arrays\n *  - a: array such that a.length === data[0].length\n *  - b: array such that b.length === data.length\n */\nmodule.exports = function smoothFill2dArray(data, a, b) {\n    var i, j, k;\n    var ip = [];\n    var jp = [];\n    // var neighborCnts = [];\n\n    var ni = data[0].length;\n    var nj = data.length;\n\n    function avgSurrounding(i, j) {\n        // As a low-quality start, we can simply average surrounding points (in a not\n        // non-uniform grid aware manner):\n        var sum = 0.0;\n        var val;\n        var cnt = 0;\n        if(i > 0 && (val = data[j][i - 1]) !== undefined) {\n            cnt++;\n            sum += val;\n        }\n        if(i < ni - 1 && (val = data[j][i + 1]) !== undefined) {\n            cnt++;\n            sum += val;\n        }\n        if(j > 0 && (val = data[j - 1][i]) !== undefined) {\n            cnt++;\n            sum += val;\n        }\n        if(j < nj - 1 && (val = data[j + 1][i]) !== undefined) {\n            cnt++;\n            sum += val;\n        }\n        return sum / Math.max(1, cnt);\n\n    }\n\n    // This loop iterates over all cells. Any cells that are null will be noted and those\n    // are the only points we will loop over and update via laplace's equation. Points with\n    // any neighbors will receive the average. If there are no neighboring points, then they\n    // will be set to zero. Also as we go, track the maximum magnitude so that we can scale\n    // our tolerance accordingly.\n    var dmax = 0.0;\n    for(i = 0; i < ni; i++) {\n        for(j = 0; j < nj; j++) {\n            if(data[j][i] === undefined) {\n                ip.push(i);\n                jp.push(j);\n\n                data[j][i] = avgSurrounding(i, j);\n                // neighborCnts.push(result.neighbors);\n            }\n            dmax = Math.max(dmax, Math.abs(data[j][i]));\n        }\n    }\n\n    if(!ip.length) return data;\n\n    // The tolerance doesn't need to be excessive. It's just for display positioning\n    var dxp, dxm, dap, dam, dbp, dbm, c, d, diff, reldiff, overrelaxation;\n    var tol = 1e-5;\n    var resid = 0;\n    var itermax = 100;\n    var iter = 0;\n    var n = ip.length;\n    do {\n        resid = 0;\n        // Normally we'd loop in two dimensions, but not all points are blank and need\n        // an update, so we instead loop only over the points that were tabulated above\n        for(k = 0; k < n; k++) {\n            i = ip[k];\n            j = jp[k];\n            // neighborCnt = neighborCnts[k];\n\n            // Track a counter for how many contributions there are. We'll use this counter\n            // to average at the end, which reduces to laplace's equation with neumann boundary\n            // conditions on the first derivative (second derivative is zero so that we get\n            // a nice linear extrapolation at the boundaries).\n            var boundaryCnt = 0;\n            var newVal = 0;\n\n            var d0, d1, x0, x1, i0, j0;\n            if(i === 0) {\n                // If this lies along the i = 0 boundary, extrapolate from the two points\n                // to the right of this point. Note that the finite differences take into\n                // account non-uniform grid spacing:\n                i0 = Math.min(ni - 1, 2);\n                x0 = a[i0];\n                x1 = a[1];\n                d0 = data[j][i0];\n                d1 = data[j][1];\n                newVal += d1 + (d1 - d0) * (a[0] - x1) / (x1 - x0);\n                boundaryCnt++;\n            } else if(i === ni - 1) {\n                // If along the high i boundary, extrapolate from the two points to the\n                // left of this point\n                i0 = Math.max(0, ni - 3);\n                x0 = a[i0];\n                x1 = a[ni - 2];\n                d0 = data[j][i0];\n                d1 = data[j][ni - 2];\n                newVal += d1 + (d1 - d0) * (a[ni - 1] - x1) / (x1 - x0);\n                boundaryCnt++;\n            }\n\n            if((i === 0 || i === ni - 1) && (j > 0 && j < nj - 1)) {\n                // If along the min(i) or max(i) boundaries, also smooth vertically as long\n                // as we're not in a corner. Note that the finite differences used here\n                // are also aware of nonuniform grid spacing:\n                dxp = b[j + 1] - b[j];\n                dxm = b[j] - b[j - 1];\n                newVal += (dxm * data[j + 1][i] + dxp * data[j - 1][i]) / (dxm + dxp);\n                boundaryCnt++;\n            }\n\n            if(j === 0) {\n                // If along the j = 0 boundary, extrpolate this point from the two points\n                // above it\n                j0 = Math.min(nj - 1, 2);\n                x0 = b[j0];\n                x1 = b[1];\n                d0 = data[j0][i];\n                d1 = data[1][i];\n                newVal += d1 + (d1 - d0) * (b[0] - x1) / (x1 - x0);\n                boundaryCnt++;\n            } else if(j === nj - 1) {\n                // Same for the max j boundary from the cells below it:\n                j0 = Math.max(0, nj - 3);\n                x0 = b[j0];\n                x1 = b[nj - 2];\n                d0 = data[j0][i];\n                d1 = data[nj - 2][i];\n                newVal += d1 + (d1 - d0) * (b[nj - 1] - x1) / (x1 - x0);\n                boundaryCnt++;\n            }\n\n            if((j === 0 || j === nj - 1) && (i > 0 && i < ni - 1)) {\n                // Now average points to the left/right as long as not in a corner:\n                dxp = a[i + 1] - a[i];\n                dxm = a[i] - a[i - 1];\n                newVal += (dxm * data[j][i + 1] + dxp * data[j][i - 1]) / (dxm + dxp);\n                boundaryCnt++;\n            }\n\n            if(!boundaryCnt) {\n                // If none of the above conditions were triggered, then this is an interior\n                // point and we can just do a laplace equation update. As above, these differences\n                // are aware of nonuniform grid spacing:\n                dap = a[i + 1] - a[i];\n                dam = a[i] - a[i - 1];\n                dbp = b[j + 1] - b[j];\n                dbm = b[j] - b[j - 1];\n\n                // These are just some useful constants for the iteration, which is perfectly\n                // straightforward but a little long to derive from f_xx + f_yy = 0.\n                c = dap * dam * (dap + dam);\n                d = dbp * dbm * (dbp + dbm);\n\n                newVal = (c * (dbm * data[j + 1][i] + dbp * data[j - 1][i]) +\n                          d * (dam * data[j][i + 1] + dap * data[j][i - 1])) /\n                          (d * (dam + dap) + c * (dbm + dbp));\n            } else {\n                // If we did have contributions from the boundary conditions, then average\n                // the result from the various contributions:\n                newVal /= boundaryCnt;\n            }\n\n            // Jacobi updates are ridiculously slow to converge, so this approach uses a\n            // Gauss-seidel iteration which is dramatically faster.\n            diff = newVal - data[j][i];\n            reldiff = diff / dmax;\n            resid += reldiff * reldiff;\n\n            // Gauss-Seidel-ish iteration, omega chosen based on heuristics and some\n            // quick tests.\n            //\n            // NB: Don't overrelax the boundarie. Otherwise set an overrelaxation factor\n            // which is a little low but safely optimal-ish:\n            overrelaxation = boundaryCnt ? 0 : 0.85;\n\n            // If there are four non-null neighbors, then we want a simple average without\n            // overrelaxation. If all the surrouding points are null, then we want the full\n            // overrelaxation\n            //\n            // Based on experiments, this actually seems to slow down convergence just a bit.\n            // I'll leave it here for reference in case this needs to be revisited, but\n            // it seems to work just fine without this.\n            // if (overrelaxation) overrelaxation *= (4 - neighborCnt) / 4;\n\n            data[j][i] += diff * (1 + overrelaxation);\n        }\n\n        resid = Math.sqrt(resid);\n    } while(iter++ < itermax && resid > tol);\n\n    Lib.log('Smoother converged to', resid, 'after', iter, 'iterations');\n\n    return data;\n};\n\n},{\"../../lib\":696}],902:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isArray1D = _dereq_('../../lib').isArray1D;\n\nmodule.exports = function handleXYDefaults(traceIn, traceOut, coerce) {\n    var x = coerce('x');\n    var hasX = x && x.length;\n    var y = coerce('y');\n    var hasY = y && y.length;\n    if(!hasX && !hasY) return false;\n\n    traceOut._cheater = !x;\n\n    if((!hasX || isArray1D(x)) && (!hasY || isArray1D(y))) {\n        var len = hasX ? x.length : Infinity;\n        if(hasY) len = Math.min(len, y.length);\n        if(traceOut.a && traceOut.a.length) len = Math.min(len, traceOut.a.length);\n        if(traceOut.b && traceOut.b.length) len = Math.min(len, traceOut.b.length);\n        traceOut._length = len;\n    }\n    else traceOut._length = null;\n\n    return true;\n};\n\n},{\"../../lib\":696}],903:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterGeoAttrs = _dereq_('../scattergeo/attributes');\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\nvar plotAttrs = _dereq_('../../plots/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar scatterGeoMarkerLineAttrs = scatterGeoAttrs.marker.line;\n\nmodule.exports = extendFlat({\n    locations: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    locationmode: scatterGeoAttrs.locationmode,\n    z: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    text: extendFlat({}, scatterGeoAttrs.text, {\n        \n    }),\n    marker: {\n        line: {\n            color: scatterGeoMarkerLineAttrs.color,\n            width: extendFlat({}, scatterGeoMarkerLineAttrs.width, {dflt: 1}),\n            editType: 'calc'\n        },\n        opacity: {\n            valType: 'number',\n            arrayOk: true,\n            min: 0,\n            max: 1,\n            dflt: 1,\n            \n            editType: 'style',\n            \n        },\n        editType: 'calc'\n    },\n\n    selected: {\n        marker: {\n            opacity: scatterGeoAttrs.selected.marker.opacity,\n            editType: 'plot'\n        },\n        editType: 'plot'\n    },\n    unselected: {\n        marker: {\n            opacity: scatterGeoAttrs.unselected.marker.opacity,\n            editType: 'plot'\n        },\n        editType: 'plot'\n    },\n\n    hoverinfo: extendFlat({}, plotAttrs.hoverinfo, {\n        editType: 'calc',\n        flags: ['location', 'z', 'text', 'name']\n    })\n},\n\n    colorscaleAttrs('', {\n        cLetter: 'z',\n        editTypeOverride: 'calc'\n    }),\n    {colorbar: colorbarAttrs}\n);\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plots/attributes\":742,\"../scattergeo/attributes\":1084}],904:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nvar colorscaleCalc = _dereq_('../../components/colorscale/calc');\nvar arraysToCalcdata = _dereq_('../scatter/arrays_to_calcdata');\nvar calcSelection = _dereq_('../scatter/calc_selection');\n\nmodule.exports = function calc(gd, trace) {\n    var len = trace._length;\n    var calcTrace = new Array(len);\n\n    for(var i = 0; i < len; i++) {\n        var calcPt = calcTrace[i] = {};\n        var loc = trace.locations[i];\n        var z = trace.z[i];\n\n        calcPt.loc = typeof loc === 'string' ? loc : null;\n        calcPt.z = isNumeric(z) ? z : BADNUM;\n    }\n\n    arraysToCalcdata(calcTrace, trace);\n    colorscaleCalc(trace, trace.z, '', 'z');\n    calcSelection(calcTrace, trace);\n\n    return calcTrace;\n};\n\n},{\"../../components/colorscale/calc\":578,\"../../constants/numerical\":673,\"../scatter/arrays_to_calcdata\":1043,\"../scatter/calc_selection\":1046,\"fast-isnumeric\":214}],905:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var locations = coerce('locations');\n    var z = coerce('z');\n\n    if(!(locations && locations.length && Lib.isArrayOrTypedArray(z) && z.length)) {\n        traceOut.visible = false;\n        return;\n    }\n    traceOut._length = Math.min(locations.length, z.length);\n\n    coerce('locationmode');\n\n    coerce('text');\n\n    coerce('marker.line.color');\n    coerce('marker.line.width');\n    coerce('marker.opacity');\n\n    colorscaleDefaults(\n        traceIn, traceOut, layout, coerce, {prefix: '', cLetter: 'z'}\n    );\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\n},{\"../../components/colorscale/defaults\":580,\"../../lib\":696,\"./attributes\":903}],906:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = function eventData(out, pt) {\n    out.location = pt.location;\n    out.z = pt.z;\n\n    return out;\n};\n\n},{}],907:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar attributes = _dereq_('./attributes');\nvar fillHoverText = _dereq_('../scatter/fill_hover_text');\n\nmodule.exports = function hoverPoints(pointData, xval, yval) {\n    var cd = pointData.cd;\n    var trace = cd[0].trace;\n    var geo = pointData.subplot;\n\n    var pt, i, j, isInside;\n\n    for(i = 0; i < cd.length; i++) {\n        pt = cd[i];\n        isInside = false;\n\n        if(pt._polygons) {\n            for(j = 0; j < pt._polygons.length; j++) {\n                if(pt._polygons[j].contains([xval, yval])) {\n                    isInside = !isInside;\n                }\n                // for polygons that cross antimeridian as xval is in [-180, 180]\n                if(pt._polygons[j].contains([xval + 360, yval])) {\n                    isInside = !isInside;\n                }\n            }\n\n            if(isInside) break;\n        }\n    }\n\n    if(!isInside || !pt) return;\n\n    pointData.x0 = pointData.x1 = pointData.xa.c2p(pt.ct);\n    pointData.y0 = pointData.y1 = pointData.ya.c2p(pt.ct);\n\n    pointData.index = pt.index;\n    pointData.location = pt.loc;\n    pointData.z = pt.z;\n\n    makeHoverInfo(pointData, trace, pt, geo.mockAxis);\n\n    return [pointData];\n};\n\nfunction makeHoverInfo(pointData, trace, pt, axis) {\n    var hoverinfo = pt.hi || trace.hoverinfo;\n\n    var parts = (hoverinfo === 'all') ?\n        attributes.hoverinfo.flags :\n        hoverinfo.split('+');\n\n    var hasName = (parts.indexOf('name') !== -1);\n    var hasLocation = (parts.indexOf('location') !== -1);\n    var hasZ = (parts.indexOf('z') !== -1);\n    var hasText = (parts.indexOf('text') !== -1);\n    var hasIdAsNameLabel = !hasName && hasLocation;\n\n    var text = [];\n\n    function formatter(val) {\n        return Axes.tickText(axis, axis.c2l(val), 'hover').text;\n    }\n\n    if(hasIdAsNameLabel) {\n        pointData.nameOverride = pt.loc;\n    } else {\n        if(hasName) pointData.nameOverride = trace.name;\n        if(hasLocation) text.push(pt.loc);\n    }\n\n    if(hasZ) text.push(formatter(pt.z));\n    if(hasText) {\n        fillHoverText(pt, trace, text);\n    }\n\n    pointData.extraText = text.join('<br>');\n}\n\n},{\"../../plots/cartesian/axes\":745,\"../scatter/fill_hover_text\":1052,\"./attributes\":903}],908:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Choropleth = {};\n\nChoropleth.attributes = _dereq_('./attributes');\nChoropleth.supplyDefaults = _dereq_('./defaults');\nChoropleth.colorbar = _dereq_('../heatmap/colorbar');\nChoropleth.calc = _dereq_('./calc');\nChoropleth.plot = _dereq_('./plot');\nChoropleth.style = _dereq_('./style').style;\nChoropleth.styleOnSelect = _dereq_('./style').styleOnSelect;\nChoropleth.hoverPoints = _dereq_('./hover');\nChoropleth.eventData = _dereq_('./event_data');\nChoropleth.selectPoints = _dereq_('./select');\n\nChoropleth.moduleType = 'trace';\nChoropleth.name = 'choropleth';\nChoropleth.basePlotModule = _dereq_('../../plots/geo');\nChoropleth.categories = ['geo', 'noOpacity'];\nChoropleth.meta = {\n    \n};\n\nmodule.exports = Choropleth;\n\n},{\"../../plots/geo\":776,\"../heatmap/colorbar\":949,\"./attributes\":903,\"./calc\":904,\"./defaults\":905,\"./event_data\":906,\"./hover\":907,\"./plot\":909,\"./select\":910,\"./style\":911}],909:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Lib = _dereq_('../../lib');\nvar polygon = _dereq_('../../lib/polygon');\n\nvar getTopojsonFeatures = _dereq_('../../lib/topojson_utils').getTopojsonFeatures;\nvar locationToFeature = _dereq_('../../lib/geo_location_utils').locationToFeature;\nvar style = _dereq_('./style').style;\n\nmodule.exports = function plot(gd, geo, calcData) {\n    for(var i = 0; i < calcData.length; i++) {\n        calcGeoJSON(calcData[i], geo.topojson);\n    }\n\n    var choroplethLayer = geo.layers.backplot.select('.choroplethlayer');\n    Lib.makeTraceGroups(choroplethLayer, calcData, 'trace choropleth').each(function(calcTrace) {\n        var sel = calcTrace[0].node3 = d3.select(this);\n\n        var paths = sel.selectAll('path.choroplethlocation')\n            .data(Lib.identity);\n\n        paths.enter().append('path')\n            .classed('choroplethlocation', true);\n\n        paths.exit().remove();\n\n        // call style here within topojson request callback\n        style(gd, calcTrace);\n    });\n};\n\nfunction calcGeoJSON(calcTrace, topojson) {\n    var trace = calcTrace[0].trace;\n    var len = calcTrace.length;\n    var features = getTopojsonFeatures(trace, topojson);\n\n    for(var i = 0; i < len; i++) {\n        var calcPt = calcTrace[i];\n        var feature = locationToFeature(trace.locationmode, calcPt.loc, features);\n\n        if(!feature) {\n            calcPt.geojson = null;\n            continue;\n        }\n\n\n        calcPt.geojson = feature;\n        calcPt.ct = feature.properties.ct;\n        calcPt.index = i;\n        calcPt._polygons = feature2polygons(feature);\n    }\n}\n\nfunction feature2polygons(feature) {\n    var geometry = feature.geometry;\n    var coords = geometry.coordinates;\n    var loc = feature.id;\n\n    var polygons = [];\n    var appendPolygon, j, k, m;\n\n    function doesCrossAntiMerdian(pts) {\n        for(var l = 0; l < pts.length - 1; l++) {\n            if(pts[l][0] > 0 && pts[l + 1][0] < 0) return l;\n        }\n        return null;\n    }\n\n    if(loc === 'RUS' || loc === 'FJI') {\n        // Russia and Fiji have landmasses that cross the antimeridian,\n        // we need to add +360 to their longitude coordinates, so that\n        // polygon 'contains' doesn't get confused when crossing the antimeridian.\n        //\n        // Note that other countries have polygons on either side of the antimeridian\n        // (e.g. some Aleutian island for the USA), but those don't confuse\n        // the 'contains' method; these are skipped here.\n        appendPolygon = function(_pts) {\n            var pts;\n\n            if(doesCrossAntiMerdian(_pts) === null) {\n                pts = _pts;\n            } else {\n                pts = new Array(_pts.length);\n                for(m = 0; m < _pts.length; m++) {\n                    // do nut mutate calcdata[i][j].geojson !!\n                    pts[m] = [\n                        _pts[m][0] < 0 ? _pts[m][0] + 360 : _pts[m][0],\n                        _pts[m][1]\n                    ];\n                }\n            }\n\n            polygons.push(polygon.tester(pts));\n        };\n    } else if(loc === 'ATA') {\n        // Antarctica has a landmass that wraps around every longitudes which\n        // confuses the 'contains' methods.\n        appendPolygon = function(pts) {\n            var crossAntiMeridianIndex = doesCrossAntiMerdian(pts);\n\n            // polygon that do not cross anti-meridian need no special handling\n            if(crossAntiMeridianIndex === null) {\n                return polygons.push(polygon.tester(pts));\n            }\n\n            // stitch polygon by adding pt over South Pole,\n            // so that it covers the projected region covers all latitudes\n            //\n            // Note that the algorithm below only works for polygons that\n            // start and end on longitude -180 (like the ones built by\n            // https://github.com/etpinard/sane-topojson).\n            var stitch = new Array(pts.length + 1);\n            var si = 0;\n\n            for(m = 0; m < pts.length; m++) {\n                if(m > crossAntiMeridianIndex) {\n                    stitch[si++] = [pts[m][0] + 360, pts[m][1]];\n                } else if(m === crossAntiMeridianIndex) {\n                    stitch[si++] = pts[m];\n                    stitch[si++] = [pts[m][0], -90];\n                } else {\n                    stitch[si++] = pts[m];\n                }\n            }\n\n            // polygon.tester by default appends pt[0] to the points list,\n            // we must remove it here, to avoid a jump in longitude from 180 to -180,\n            // that would confuse the 'contains' method\n            var tester = polygon.tester(stitch);\n            tester.pts.pop();\n            polygons.push(tester);\n        };\n    } else {\n        // otherwise using same array ref is fine\n        appendPolygon = function(pts) {\n            polygons.push(polygon.tester(pts));\n        };\n    }\n\n    switch(geometry.type) {\n        case 'MultiPolygon':\n            for(j = 0; j < coords.length; j++) {\n                for(k = 0; k < coords[j].length; k++) {\n                    appendPolygon(coords[j][k]);\n                }\n            }\n            break;\n        case 'Polygon':\n            for(j = 0; j < coords.length; j++) {\n                appendPolygon(coords[j]);\n            }\n            break;\n    }\n\n    return polygons;\n}\n\n},{\"../../lib\":696,\"../../lib/geo_location_utils\":688,\"../../lib/polygon\":709,\"../../lib/topojson_utils\":724,\"./style\":911,\"d3\":148}],910:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function selectPoints(searchInfo, selectionTester) {\n    var cd = searchInfo.cd;\n    var xa = searchInfo.xaxis;\n    var ya = searchInfo.yaxis;\n    var selection = [];\n\n    var i, di, ct, x, y;\n\n    if(selectionTester === false) {\n        for(i = 0; i < cd.length; i++) {\n            cd[i].selected = 0;\n        }\n    } else {\n        for(i = 0; i < cd.length; i++) {\n            di = cd[i];\n            ct = di.ct;\n\n            if(!ct) continue;\n\n            x = xa.c2p(ct);\n            y = ya.c2p(ct);\n\n            if(selectionTester.contains([x, y], null, i, searchInfo)) {\n                selection.push({\n                    pointNumber: i,\n                    lon: ct[0],\n                    lat: ct[1]\n                });\n                di.selected = 1;\n            } else {\n                di.selected = 0;\n            }\n        }\n    }\n\n    return selection;\n};\n\n},{}],911:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\nvar Colorscale = _dereq_('../../components/colorscale');\n\nfunction style(gd, calcTrace) {\n    if(calcTrace) styleTrace(gd, calcTrace);\n}\n\nfunction styleTrace(gd, calcTrace) {\n    var trace = calcTrace[0].trace;\n    var s = calcTrace[0].node3;\n    var locs = s.selectAll('.choroplethlocation');\n    var marker = trace.marker || {};\n    var markerLine = marker.line || {};\n\n    var sclFunc = Colorscale.makeColorScaleFunc(\n        Colorscale.extractScale(\n            trace.colorscale,\n            trace.zmin,\n            trace.zmax\n        )\n    );\n\n    locs.each(function(d) {\n        d3.select(this)\n            .attr('fill', sclFunc(d.z))\n            .call(Color.stroke, d.mlc || markerLine.color)\n            .call(Drawing.dashLine, '', d.mlw || markerLine.width || 0)\n            .style('opacity', marker.opacity);\n    });\n\n    Drawing.selectedPointStyle(locs, trace, gd);\n}\n\nfunction styleOnSelect(gd, calcTrace) {\n    var s = calcTrace[0].node3;\n    var trace = calcTrace[0].trace;\n\n    if(trace.selectedpoints) {\n        Drawing.selectedPointStyle(s.selectAll('.choroplethlocation'), trace, gd);\n    } else {\n        styleTrace(gd, calcTrace);\n    }\n}\n\nmodule.exports = {\n    style: style,\n    styleOnSelect: styleOnSelect\n};\n\n},{\"../../components/color\":570,\"../../components/colorscale\":585,\"../../components/drawing\":595,\"d3\":148}],912:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\nvar mesh3dAttrs = _dereq_('../mesh3d/attributes');\nvar baseAttrs = _dereq_('../../plots/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar attrs = {\n    x: {\n        valType: 'data_array',\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    y: {\n        valType: 'data_array',\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    z: {\n        valType: 'data_array',\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n\n    u: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    v: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    w: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n\n    // TODO add way to specify cone positions independently of the vector field\n    // provided, similar to MATLAB's coneplot Cx/Cy/Cz meshgrids,\n    // see https://www.mathworks.com/help/matlab/ref/coneplot.html\n    //\n    // Alternatively, if our goal is only to 'fill in gaps' in the vector data,\n    // we could try to extend the heatmap 'connectgaps' algorithm to 3D.\n    // From AJ: this particular algorithm which amounts to a Poisson equation,\n    // both for interpolation and extrapolation - is the right one to use for\n    // cones too.  It makes a field with zero divergence, which is a good\n    // baseline assumption for vector fields.\n    //\n    // cones: {\n    //     // potential attributes to add:\n    //     //\n    //     // - meshmode: 'cartesian-product', 'pts', 'grid'\n    //     //\n    //     // under `meshmode: 'grid'`\n    //     // - (x|y|z)grid.start\n    //     // - (x|y|z)grid.end\n    //     // - (x|y|z)grid.size\n    //\n    //     x: {\n    //         valType: 'data_array',\n    //         editType: 'calc',\n    //         \n    //     },\n    //     y: {\n    //         valType: 'data_array',\n    //         editType: 'calc',\n    //         \n    //     },\n    //     z: {\n    //         valType: 'data_array',\n    //         editType: 'calc',\n    //         \n    //     },\n    //\n    //     editType: 'calc',\n    //     \n    // },\n\n    sizemode: {\n        valType: 'enumerated',\n        values: ['scaled', 'absolute'],\n        \n        editType: 'calc',\n        dflt: 'scaled',\n        \n    },\n    sizeref: {\n        valType: 'number',\n        \n        editType: 'calc',\n        min: 0,\n        \n    },\n\n    anchor: {\n        valType: 'enumerated',\n        \n        editType: 'calc',\n        values: ['tip', 'tail', 'cm', 'center'],\n        dflt: 'cm',\n        \n    },\n\n    text: {\n        valType: 'string',\n        \n        dflt: '',\n        arrayOk: true,\n        editType: 'calc',\n        \n    }\n};\n\nextendFlat(attrs, colorscaleAttrs('', {\n    colorAttr: 'u/v/w norm',\n    showScaleDflt: true,\n    editTypeOverride: 'calc'\n}), {\n    colorbar: colorbarAttrs\n});\n\nvar fromMesh3d = ['opacity', 'lightposition', 'lighting'];\n\nfromMesh3d.forEach(function(k) {\n    attrs[k] = mesh3dAttrs[k];\n});\n\nattrs.hoverinfo = extendFlat({}, baseAttrs.hoverinfo, {\n    editType: 'calc',\n    flags: ['x', 'y', 'z', 'u', 'v', 'w', 'norm', 'text', 'name'],\n    dflt: 'x+y+z+norm+text+name'\n});\n\nattrs.transforms = undefined;\n\nmodule.exports = attrs;\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plots/attributes\":742,\"../mesh3d/attributes\":987}],913:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorscaleCalc = _dereq_('../../components/colorscale/calc');\n\nmodule.exports = function calc(gd, trace) {\n    var u = trace.u;\n    var v = trace.v;\n    var w = trace.w;\n    var len = Math.min(\n        trace.x.length, trace.y.length, trace.z.length,\n        u.length, v.length, w.length\n    );\n    var normMax = -Infinity;\n    var normMin = Infinity;\n\n    for(var i = 0; i < len; i++) {\n        var uu = u[i];\n        var vv = v[i];\n        var ww = w[i];\n        var norm = Math.sqrt(uu * uu + vv * vv + ww * ww);\n\n        normMax = Math.max(normMax, norm);\n        normMin = Math.min(normMin, norm);\n    }\n\n    trace._len = len;\n    trace._normMax = normMax;\n\n    colorscaleCalc(trace, [normMin, normMax], '', 'c');\n};\n\n},{\"../../components/colorscale/calc\":578}],914:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar conePlot = _dereq_('gl-cone3d');\nvar createConeMesh = _dereq_('gl-cone3d').createConeMesh;\n\nvar simpleMap = _dereq_('../../lib').simpleMap;\nvar parseColorScale = _dereq_('../../lib/gl_format_color').parseColorScale;\nvar zip3 = _dereq_('../../plots/gl3d/zip3');\n\nfunction Cone(scene, uid) {\n    this.scene = scene;\n    this.uid = uid;\n    this.mesh = null;\n    this.data = null;\n}\n\nvar proto = Cone.prototype;\n\nproto.handlePick = function(selection) {\n    if(selection.object === this.mesh) {\n        var selectIndex = selection.index = selection.data.index;\n        var xx = this.data.x[selectIndex];\n        var yy = this.data.y[selectIndex];\n        var zz = this.data.z[selectIndex];\n        var uu = this.data.u[selectIndex];\n        var vv = this.data.v[selectIndex];\n        var ww = this.data.w[selectIndex];\n\n        selection.traceCoordinate = [\n            xx, yy, zz,\n            uu, vv, ww,\n            Math.sqrt(uu * uu + vv * vv + ww * ww)\n        ];\n\n        var text = this.data.text;\n        if(Array.isArray(text) && text[selectIndex] !== undefined) {\n            selection.textLabel = text[selectIndex];\n        } else if(text) {\n            selection.textLabel = text;\n        }\n\n        return true;\n    }\n};\n\nvar axisName2scaleIndex = {xaxis: 0, yaxis: 1, zaxis: 2};\nvar anchor2coneOffset = {tip: 1, tail: 0, cm: 0.25, center: 0.5};\nvar anchor2coneSpan = {tip: 1, tail: 1, cm: 0.75, center: 0.5};\n\nfunction convert(scene, trace) {\n    var sceneLayout = scene.fullSceneLayout;\n    var dataScale = scene.dataScale;\n    var coneOpts = {};\n\n    function toDataCoords(arr, axisName) {\n        var ax = sceneLayout[axisName];\n        var scale = dataScale[axisName2scaleIndex[axisName]];\n        return simpleMap(arr, function(v) { return ax.d2l(v) * scale; });\n    }\n\n    coneOpts.vectors = zip3(\n        toDataCoords(trace.u, 'xaxis'),\n        toDataCoords(trace.v, 'yaxis'),\n        toDataCoords(trace.w, 'zaxis'),\n        trace._len\n    );\n\n    coneOpts.positions = zip3(\n        toDataCoords(trace.x, 'xaxis'),\n        toDataCoords(trace.y, 'yaxis'),\n        toDataCoords(trace.z, 'zaxis'),\n        trace._len\n    );\n\n    coneOpts.colormap = parseColorScale(trace.colorscale);\n    coneOpts.vertexIntensityBounds = [trace.cmin / trace._normMax, trace.cmax / trace._normMax];\n    coneOpts.coneOffset = anchor2coneOffset[trace.anchor];\n\n    if(trace.sizemode === 'scaled') {\n        // unitless sizeref\n        coneOpts.coneSize = trace.sizeref || 0.5;\n    } else {\n        // sizeref here has unit of velocity\n        coneOpts.coneSize = trace.sizeref && trace._normMax ?\n            trace.sizeref / trace._normMax :\n            0.5;\n    }\n\n    var meshData = conePlot(coneOpts);\n\n    // pass gl-mesh3d lighting attributes\n    var lp = trace.lightposition;\n    meshData.lightPosition = [lp.x, lp.y, lp.z];\n    meshData.ambient = trace.lighting.ambient;\n    meshData.diffuse = trace.lighting.diffuse;\n    meshData.specular = trace.lighting.specular;\n    meshData.roughness = trace.lighting.roughness;\n    meshData.fresnel = trace.lighting.fresnel;\n    meshData.opacity = trace.opacity;\n\n    // stash autorange pad value\n    trace._pad = anchor2coneSpan[trace.anchor] * meshData.vectorScale * meshData.coneScale * trace._normMax;\n\n    return meshData;\n}\n\nproto.update = function(data) {\n    this.data = data;\n\n    var meshData = convert(this.scene, data);\n    this.mesh.update(meshData);\n};\n\nproto.dispose = function() {\n    this.scene.glplot.remove(this.mesh);\n    this.mesh.dispose();\n};\n\nfunction createConeTrace(scene, data) {\n    var gl = scene.glplot.gl;\n\n    var meshData = convert(scene, data);\n    var mesh = createConeMesh(gl, meshData);\n\n    var cone = new Cone(scene, data.uid);\n    cone.mesh = mesh;\n    cone.data = data;\n    mesh._trace = cone;\n\n    scene.glplot.add(mesh);\n\n    return cone;\n}\n\nmodule.exports = createConeTrace;\n\n},{\"../../lib\":696,\"../../lib/gl_format_color\":692,\"../../plots/gl3d/zip3\":799,\"gl-cone3d\":231}],915:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var u = coerce('u');\n    var v = coerce('v');\n    var w = coerce('w');\n\n    var x = coerce('x');\n    var y = coerce('y');\n    var z = coerce('z');\n\n    if(\n        !u || !u.length || !v || !v.length || !w || !w.length ||\n        !x || !x.length || !y || !y.length || !z || !z.length\n    ) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('sizeref');\n    coerce('sizemode');\n\n    coerce('anchor');\n\n    coerce('lighting.ambient');\n    coerce('lighting.diffuse');\n    coerce('lighting.specular');\n    coerce('lighting.roughness');\n    coerce('lighting.fresnel');\n    coerce('lightposition.x');\n    coerce('lightposition.y');\n    coerce('lightposition.z');\n\n    colorscaleDefaults(traceIn, traceOut, layout, coerce, {prefix: '', cLetter: 'c'});\n\n    coerce('text');\n\n    // disable 1D transforms (for now)\n    traceOut._length = null;\n};\n\n},{\"../../components/colorscale/defaults\":580,\"../../lib\":696,\"./attributes\":912}],916:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    moduleType: 'trace',\n    name: 'cone',\n    basePlotModule: _dereq_('../../plots/gl3d'),\n    categories: ['gl3d'],\n\n    attributes: _dereq_('./attributes'),\n    supplyDefaults: _dereq_('./defaults'),\n    colorbar: {\n        min: 'cmin',\n        max: 'cmax'\n    },\n    calc: _dereq_('./calc'),\n    plot: _dereq_('./convert'),\n\n    meta: {\n        \n    }\n};\n\n},{\"../../plots/gl3d\":788,\"./attributes\":912,\"./calc\":913,\"./convert\":914,\"./defaults\":915}],917:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar heatmapAttrs = _dereq_('../heatmap/attributes');\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\nvar dash = _dereq_('../../components/drawing/attributes').dash;\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar filterOps = _dereq_('../../constants/filter_ops');\nvar COMPARISON_OPS2 = filterOps.COMPARISON_OPS2;\nvar INTERVAL_OPS = filterOps.INTERVAL_OPS;\n\nvar scatterLineAttrs = scatterAttrs.line;\n\nmodule.exports = extendFlat({\n    z: heatmapAttrs.z,\n    x: heatmapAttrs.x,\n    x0: heatmapAttrs.x0,\n    dx: heatmapAttrs.dx,\n    y: heatmapAttrs.y,\n    y0: heatmapAttrs.y0,\n    dy: heatmapAttrs.dy,\n    text: heatmapAttrs.text,\n    transpose: heatmapAttrs.transpose,\n    xtype: heatmapAttrs.xtype,\n    ytype: heatmapAttrs.ytype,\n    zhoverformat: heatmapAttrs.zhoverformat,\n\n    connectgaps: heatmapAttrs.connectgaps,\n\n    fillcolor: {\n        valType: 'color',\n        \n        editType: 'calc',\n        \n    },\n\n    autocontour: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'calc',\n        impliedEdits: {\n            'contours.start': undefined,\n            'contours.end': undefined,\n            'contours.size': undefined\n        },\n        \n    },\n    ncontours: {\n        valType: 'integer',\n        dflt: 15,\n        min: 1,\n        \n        editType: 'calc',\n        \n    },\n\n    contours: {\n        type: {\n            valType: 'enumerated',\n            values: ['levels', 'constraint'],\n            dflt: 'levels',\n            \n            editType: 'calc',\n            \n        },\n        start: {\n            valType: 'number',\n            dflt: null,\n            \n            editType: 'plot',\n            impliedEdits: {'^autocontour': false},\n            \n        },\n        end: {\n            valType: 'number',\n            dflt: null,\n            \n            editType: 'plot',\n            impliedEdits: {'^autocontour': false},\n            \n        },\n        size: {\n            valType: 'number',\n            dflt: null,\n            min: 0,\n            \n            editType: 'plot',\n            impliedEdits: {'^autocontour': false},\n            \n        },\n        coloring: {\n            valType: 'enumerated',\n            values: ['fill', 'heatmap', 'lines', 'none'],\n            dflt: 'fill',\n            \n            editType: 'calc',\n            \n        },\n        showlines: {\n            valType: 'boolean',\n            dflt: true,\n            \n            editType: 'plot',\n            \n        },\n        showlabels: {\n            valType: 'boolean',\n            dflt: false,\n            \n            editType: 'plot',\n            \n        },\n        labelfont: fontAttrs({\n            editType: 'plot',\n            colorEditType: 'style',\n            \n        }),\n        labelformat: {\n            valType: 'string',\n            dflt: '',\n            \n            editType: 'plot',\n            \n        },\n        operation: {\n            valType: 'enumerated',\n            values: [].concat(COMPARISON_OPS2).concat(INTERVAL_OPS),\n            \n            dflt: '=',\n            editType: 'calc',\n            \n        },\n        value: {\n            valType: 'any',\n            dflt: 0,\n            \n            editType: 'calc',\n            \n        },\n        editType: 'calc',\n        impliedEdits: {'autocontour': false}\n    },\n\n    line: {\n        color: extendFlat({}, scatterLineAttrs.color, {\n            editType: 'style+colorbars',\n            \n        }),\n        width: extendFlat({}, scatterLineAttrs.width, {\n            editType: 'style+colorbars'\n        }),\n        dash: dash,\n        smoothing: extendFlat({}, scatterLineAttrs.smoothing, {\n            \n        }),\n        editType: 'plot'\n    }\n},\n    colorscaleAttrs('', {\n        cLetter: 'z',\n        autoColorDflt: false,\n        editTypeOverride: 'calc'\n    }),\n    { colorbar: colorbarAttrs }\n);\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../components/drawing/attributes\":594,\"../../constants/filter_ops\":669,\"../../lib/extend\":685,\"../../plots/font_attributes\":772,\"../heatmap/attributes\":946,\"../scatter/attributes\":1044}],918:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar heatmapCalc = _dereq_('../heatmap/calc');\nvar setContours = _dereq_('./set_contours');\n\n// most is the same as heatmap calc, then adjust it\n// though a few things inside heatmap calc still look for\n// contour maps, because the makeBoundArray calls are too entangled\nmodule.exports = function calc(gd, trace) {\n    var cd = heatmapCalc(gd, trace);\n    setContours(trace);\n    return cd;\n};\n\n},{\"../heatmap/calc\":947,\"./set_contours\":936}],919:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function(pathinfo, operation, perimeter, trace) {\n    // Abandon all hope, ye who enter here.\n    var i, v1, v2;\n    var pi0 = pathinfo[0];\n    var na = pi0.x.length;\n    var nb = pi0.y.length;\n    var z = pi0.z;\n    var contours = trace.contours;\n\n    var boundaryMax = -Infinity;\n    var boundaryMin = Infinity;\n\n    for(i = 0; i < nb; i++) {\n        boundaryMin = Math.min(boundaryMin, z[i][0]);\n        boundaryMin = Math.min(boundaryMin, z[i][na - 1]);\n        boundaryMax = Math.max(boundaryMax, z[i][0]);\n        boundaryMax = Math.max(boundaryMax, z[i][na - 1]);\n    }\n\n    for(i = 1; i < na - 1; i++) {\n        boundaryMin = Math.min(boundaryMin, z[0][i]);\n        boundaryMin = Math.min(boundaryMin, z[nb - 1][i]);\n        boundaryMax = Math.max(boundaryMax, z[0][i]);\n        boundaryMax = Math.max(boundaryMax, z[nb - 1][i]);\n    }\n\n    pi0.prefixBoundary = false;\n\n    switch(operation) {\n        case '>':\n            if(contours.value > boundaryMax) {\n                pi0.prefixBoundary = true;\n            }\n            break;\n        case '<':\n            if(contours.value < boundaryMin) {\n                pi0.prefixBoundary = true;\n            }\n            break;\n        case '[]':\n            v1 = Math.min.apply(null, contours.value);\n            v2 = Math.max.apply(null, contours.value);\n            if(v2 < boundaryMin || v1 > boundaryMax) {\n                pi0.prefixBoundary = true;\n            }\n            break;\n        case '][':\n            v1 = Math.min.apply(null, contours.value);\n            v2 = Math.max.apply(null, contours.value);\n            if(v1 < boundaryMin && v2 > boundaryMax) {\n                pi0.prefixBoundary = true;\n            }\n            break;\n    }\n};\n\n},{}],920:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar drawColorbar = _dereq_('../../components/colorbar/draw');\n\nvar makeColorMap = _dereq_('./make_color_map');\nvar endPlus = _dereq_('./end_plus');\n\n\nmodule.exports = function colorbar(gd, cd) {\n    var trace = cd[0].trace;\n    var cbId = 'cb' + trace.uid;\n\n    gd._fullLayout._infolayer.selectAll('.' + cbId).remove();\n\n    if(!trace.showscale) return;\n\n    var cb = cd[0].t.cb = drawColorbar(gd, cbId);\n\n    var contours = trace.contours;\n    var line = trace.line;\n    var cs = contours.size || 1;\n    var coloring = contours.coloring;\n\n    var colorMap = makeColorMap(trace, {isColorbar: true});\n\n    cb.fillgradient(coloring === 'heatmap' ? trace.colorscale : '')\n        .zrange(coloring === 'heatmap' ? [trace.zmin, trace.zmax] : '')\n        .fillcolor((coloring === 'fill') ? colorMap : '')\n        .line({\n            color: coloring === 'lines' ? colorMap : line.color,\n            width: contours.showlines !== false ? line.width : 0,\n            dash: line.dash\n        })\n        .levels({\n            start: contours.start,\n            end: endPlus(contours),\n            size: cs\n        })\n        .options(trace.colorbar)();\n};\n\n},{\"../../components/colorbar/draw\":575,\"./end_plus\":928,\"./make_color_map\":933}],921:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\nmodule.exports = {\n    // some constants to help with marching squares algorithm\n    // where does the path start for each index?\n    BOTTOMSTART: [1, 9, 13, 104, 713],\n    TOPSTART: [4, 6, 7, 104, 713],\n    LEFTSTART: [8, 12, 14, 208, 1114],\n    RIGHTSTART: [2, 3, 11, 208, 1114],\n\n    // which way [dx,dy] do we leave a given index?\n    // saddles are already disambiguated\n    NEWDELTA: [\n        null, [-1, 0], [0, -1], [-1, 0],\n        [1, 0], null, [0, -1], [-1, 0],\n        [0, 1], [0, 1], null, [0, 1],\n        [1, 0], [1, 0], [0, -1]\n    ],\n\n    // for each saddle, the first index here is used\n    // for dx||dy<0, the second for dx||dy>0\n    CHOOSESADDLE: {\n        104: [4, 1],\n        208: [2, 8],\n        713: [7, 13],\n        1114: [11, 14]\n    },\n\n    // after one index has been used for a saddle, which do we\n    // substitute to be used up later?\n    SADDLEREMAINDER: {1: 4, 2: 8, 4: 1, 7: 13, 8: 2, 11: 14, 13: 7, 14: 11},\n\n    // length of a contour, as a multiple of the plot area diagonal, per label\n    LABELDISTANCE: 2,\n\n    // number of contour levels after which we start increasing the number of\n    // labels we draw. Many contours means they will generally be close\n    // together, so it will be harder to follow a long way to find a label\n    LABELINCREASE: 10,\n\n    // minimum length of a contour line, as a multiple of the label length,\n    // at which we draw *any* labels\n    LABELMIN: 3,\n\n    // max number of labels to draw on a single contour path, no matter how long\n    LABELMAX: 10,\n\n    // constants for the label position cost function\n    LABELOPTIMIZER: {\n        // weight given to edge proximity\n        EDGECOST: 1,\n        // weight given to the angle off horizontal\n        ANGLECOST: 1,\n        // weight given to distance from already-placed labels\n        NEIGHBORCOST: 5,\n        // cost multiplier for labels on the same level\n        SAMELEVELFACTOR: 10,\n        // minimum distance (as a multiple of the label length)\n        // for labels on the same level\n        SAMELEVELDISTANCE: 5,\n        // maximum cost before we won't even place the label\n        MAXCOST: 100,\n        // number of evenly spaced points to look at in the first\n        // iteration of the search\n        INITIALSEARCHPOINTS: 10,\n        // number of binary search iterations after the initial wide search\n        ITERATIONS: 5\n    }\n};\n\n},{}],922:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar handleLabelDefaults = _dereq_('./label_defaults');\n\nvar Color = _dereq_('../../components/color');\nvar addOpacity = Color.addOpacity;\nvar opacity = Color.opacity;\n\nvar filterOps = _dereq_('../../constants/filter_ops');\nvar CONSTRAINT_REDUCTION = filterOps.CONSTRAINT_REDUCTION;\nvar COMPARISON_OPS2 = filterOps.COMPARISON_OPS2;\n\nmodule.exports = function handleConstraintDefaults(traceIn, traceOut, coerce, layout, defaultColor, opts) {\n    var contours = traceOut.contours;\n    var showLines, lineColor, fillColor;\n\n    var operation = coerce('contours.operation');\n    contours._operation = CONSTRAINT_REDUCTION[operation];\n\n    handleConstraintValueDefaults(coerce, contours);\n\n    if(operation === '=') {\n        showLines = contours.showlines = true;\n    }\n    else {\n        showLines = coerce('contours.showlines');\n        fillColor = coerce('fillcolor', addOpacity(\n            (traceIn.line || {}).color || defaultColor, 0.5\n        ));\n    }\n\n    if(showLines) {\n        var lineDfltColor = fillColor && opacity(fillColor) ?\n            addOpacity(traceOut.fillcolor, 1) :\n            defaultColor;\n        lineColor = coerce('line.color', lineDfltColor);\n        coerce('line.width', 2);\n        coerce('line.dash');\n    }\n\n    coerce('line.smoothing');\n\n    handleLabelDefaults(coerce, layout, lineColor, opts);\n};\n\nfunction handleConstraintValueDefaults(coerce, contours) {\n    var zvalue;\n\n    if(COMPARISON_OPS2.indexOf(contours.operation) === -1) {\n        // Requires an array of two numbers:\n        coerce('contours.value', [0, 1]);\n\n        if(!Array.isArray(contours.value)) {\n            if(isNumeric(contours.value)) {\n                zvalue = parseFloat(contours.value);\n                contours.value = [zvalue, zvalue + 1];\n            }\n        } else if(contours.value.length > 2) {\n            contours.value = contours.value.slice(2);\n        } else if(contours.length === 0) {\n            contours.value = [0, 1];\n        } else if(contours.length < 2) {\n            zvalue = parseFloat(contours.value[0]);\n            contours.value = [zvalue, zvalue + 1];\n        } else {\n            contours.value = [\n                parseFloat(contours.value[0]),\n                parseFloat(contours.value[1])\n            ];\n        }\n    } else {\n        // Requires a single scalar:\n        coerce('contours.value', 0);\n\n        if(!isNumeric(contours.value)) {\n            if(Array.isArray(contours.value)) {\n                contours.value = parseFloat(contours.value[0]);\n            } else {\n                contours.value = 0;\n            }\n        }\n    }\n}\n\n},{\"../../components/color\":570,\"../../constants/filter_ops\":669,\"./label_defaults\":932,\"fast-isnumeric\":214}],923:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar filterOps = _dereq_('../../constants/filter_ops');\nvar isNumeric = _dereq_('fast-isnumeric');\n\n// This syntax conforms to the existing filter transform syntax, but we don't care\n// about open vs. closed intervals for simply drawing contours constraints:\nmodule.exports = {\n    '[]': makeRangeSettings('[]'),\n    '][': makeRangeSettings(']['),\n    '>': makeInequalitySettings('>'),\n    '<': makeInequalitySettings('<'),\n    '=': makeInequalitySettings('=')\n};\n\n// This does not in any way shape or form support calendars. It's adapted from\n// transforms/filter.js.\nfunction coerceValue(operation, value) {\n    var hasArrayValue = Array.isArray(value);\n\n    var coercedValue;\n\n    function coerce(value) {\n        return isNumeric(value) ? (+value) : null;\n    }\n\n    if(filterOps.COMPARISON_OPS2.indexOf(operation) !== -1) {\n        coercedValue = hasArrayValue ? coerce(value[0]) : coerce(value);\n    } else if(filterOps.INTERVAL_OPS.indexOf(operation) !== -1) {\n        coercedValue = hasArrayValue ?\n            [coerce(value[0]), coerce(value[1])] :\n            [coerce(value), coerce(value)];\n    } else if(filterOps.SET_OPS.indexOf(operation) !== -1) {\n        coercedValue = hasArrayValue ? value.map(coerce) : [coerce(value)];\n    }\n\n    return coercedValue;\n}\n\n// Returns a parabola scaled so that the min/max is either +/- 1 and zero at the two values\n// provided. The data is mapped by this function when constructing intervals so that it's\n// very easy to construct contours as normal.\nfunction makeRangeSettings(operation) {\n    return function(value) {\n        value = coerceValue(operation, value);\n\n        // Ensure proper ordering:\n        var min = Math.min(value[0], value[1]);\n        var max = Math.max(value[0], value[1]);\n\n        return {\n            start: min,\n            end: max,\n            size: max - min\n        };\n    };\n}\n\nfunction makeInequalitySettings(operation) {\n    return function(value) {\n        value = coerceValue(operation, value);\n\n        return {\n            start: value,\n            end: Infinity,\n            size: Infinity\n        };\n    };\n}\n\n},{\"../../constants/filter_ops\":669,\"fast-isnumeric\":214}],924:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function handleContourDefaults(traceIn, traceOut, coerce, coerce2) {\n    var contourStart = coerce2('contours.start');\n    var contourEnd = coerce2('contours.end');\n    var missingEnd = (contourStart === false) || (contourEnd === false);\n\n    // normally we only need size if autocontour is off. But contour.calc\n    // pushes its calculated contour size back to the input trace, so for\n    // things like restyle that can call supplyDefaults without calc\n    // after the initial draw, we can just reuse the previous calculation\n    var contourSize = coerce('contours.size');\n    var autoContour;\n\n    if(missingEnd) autoContour = traceOut.autocontour = true;\n    else autoContour = coerce('autocontour', false);\n\n    if(autoContour || !contourSize) coerce('ncontours');\n};\n\n},{}],925:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\n// The contour extraction is great, except it totally fails for constraints because we\n// need weird range loops and flipped contours instead of the usual format. This function\n// does some weird manipulation of the extracted pathinfo data such that it magically\n// draws contours correctly *as* constraints.\nmodule.exports = function(pathinfo, operation) {\n    var i, pi0, pi1;\n\n    var op0 = function(arr) { return arr.reverse(); };\n    var op1 = function(arr) { return arr; };\n\n    switch(operation) {\n        case '=':\n        case '<':\n            return pathinfo;\n        case '>':\n            if(pathinfo.length !== 1) {\n                Lib.warn('Contour data invalid for the specified inequality operation.');\n            }\n\n            // In this case there should be exactly two contour levels in pathinfo. We\n            // simply concatenate the info into one pathinfo and flip all of the data\n            // in one. This will draw the contour as closed.\n            pi0 = pathinfo[0];\n\n            for(i = 0; i < pi0.edgepaths.length; i++) {\n                pi0.edgepaths[i] = op0(pi0.edgepaths[i]);\n            }\n\n            for(i = 0; i < pi0.paths.length; i++) {\n                pi0.paths[i] = op0(pi0.paths[i]);\n            }\n            return pathinfo;\n        case '][':\n            var tmp = op0;\n            op0 = op1;\n            op1 = tmp;\n            // It's a nice rule, except this definitely *is* what's intended here.\n            /* eslint-disable: no-fallthrough */\n        case '[]':\n            /* eslint-enable: no-fallthrough */\n            if(pathinfo.length !== 2) {\n                Lib.warn('Contour data invalid for the specified inequality range operation.');\n            }\n\n            // In this case there should be exactly two contour levels in pathinfo. We\n            // simply concatenate the info into one pathinfo and flip all of the data\n            // in one. This will draw the contour as closed.\n            pi0 = copyPathinfo(pathinfo[0]);\n            pi1 = copyPathinfo(pathinfo[1]);\n\n            for(i = 0; i < pi0.edgepaths.length; i++) {\n                pi0.edgepaths[i] = op0(pi0.edgepaths[i]);\n            }\n\n            for(i = 0; i < pi0.paths.length; i++) {\n                pi0.paths[i] = op0(pi0.paths[i]);\n            }\n\n            while(pi1.edgepaths.length) {\n                pi0.edgepaths.push(op1(pi1.edgepaths.shift()));\n            }\n            while(pi1.paths.length) {\n                pi0.paths.push(op1(pi1.paths.shift()));\n            }\n            return [pi0];\n    }\n};\n\nfunction copyPathinfo(pi) {\n    return Lib.extendFlat({}, pi, {\n        edgepaths: Lib.extendDeep([], pi.edgepaths),\n        paths: Lib.extendDeep([], pi.paths)\n    });\n}\n\n},{\"../../lib\":696}],926:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar handleXYZDefaults = _dereq_('../heatmap/xyz_defaults');\nvar handleConstraintDefaults = _dereq_('./constraint_defaults');\nvar handleContoursDefaults = _dereq_('./contours_defaults');\nvar handleStyleDefaults = _dereq_('./style_defaults');\nvar attributes = _dereq_('./attributes');\n\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    function coerce2(attr) {\n        return Lib.coerce2(traceIn, traceOut, attributes, attr);\n    }\n\n    var len = handleXYZDefaults(traceIn, traceOut, coerce, layout);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('text');\n    var isConstraint = (coerce('contours.type') === 'constraint');\n    coerce('connectgaps', Lib.isArray1D(traceOut.z));\n\n    if(isConstraint) {\n        handleConstraintDefaults(traceIn, traceOut, coerce, layout, defaultColor);\n    }\n    else {\n        handleContoursDefaults(traceIn, traceOut, coerce, coerce2);\n        handleStyleDefaults(traceIn, traceOut, coerce, layout);\n    }\n};\n\n},{\"../../lib\":696,\"../heatmap/xyz_defaults\":961,\"./attributes\":917,\"./constraint_defaults\":922,\"./contours_defaults\":924,\"./style_defaults\":938}],927:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar constraintMapping = _dereq_('./constraint_mapping');\nvar endPlus = _dereq_('./end_plus');\n\nmodule.exports = function emptyPathinfo(contours, plotinfo, cd0) {\n    var contoursFinal = (contours.type === 'constraint') ?\n        constraintMapping[contours._operation](contours.value) :\n        contours;\n\n    var cs = contoursFinal.size;\n    var pathinfo = [];\n    var end = endPlus(contoursFinal);\n\n    var carpet = cd0.trace._carpetTrace;\n\n    var basePathinfo = carpet ? {\n        // store axes so we can convert to px\n        xaxis: carpet.aaxis,\n        yaxis: carpet.baxis,\n        // full data arrays to use for interpolation\n        x: cd0.a,\n        y: cd0.b\n    } : {\n        xaxis: plotinfo.xaxis,\n        yaxis: plotinfo.yaxis,\n        x: cd0.x,\n        y: cd0.y\n    };\n\n    for(var ci = contoursFinal.start; ci < end; ci += cs) {\n        pathinfo.push(Lib.extendFlat({\n            level: ci,\n            // all the cells with nontrivial marching index\n            crossings: {},\n            // starting points on the edges of the lattice for each contour\n            starts: [],\n            // all unclosed paths (may have less items than starts,\n            // if a path is closed by rounding)\n            edgepaths: [],\n            // all closed paths\n            paths: [],\n            z: cd0.z,\n            smoothing: cd0.trace.line.smoothing\n        }, basePathinfo));\n\n        if(pathinfo.length > 1000) {\n            Lib.warn('Too many contours, clipping at 1000', contours);\n            break;\n        }\n    }\n    return pathinfo;\n};\n\n},{\"../../lib\":696,\"./constraint_mapping\":923,\"./end_plus\":928}],928:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n/*\n * tiny helper to move the end of the contours a little to prevent\n * losing the last contour to rounding errors\n */\nmodule.exports = function endPlus(contours) {\n    return contours.end + contours.size / 1e6;\n};\n\n},{}],929:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar constants = _dereq_('./constants');\n\nmodule.exports = function findAllPaths(pathinfo, xtol, ytol) {\n    var cnt,\n        startLoc,\n        i,\n        pi,\n        j;\n\n    // Default just passes these values through as they were before:\n    xtol = xtol || 0.01;\n    ytol = ytol || 0.01;\n\n    for(i = 0; i < pathinfo.length; i++) {\n        pi = pathinfo[i];\n\n        for(j = 0; j < pi.starts.length; j++) {\n            startLoc = pi.starts[j];\n            makePath(pi, startLoc, 'edge', xtol, ytol);\n        }\n\n        cnt = 0;\n        while(Object.keys(pi.crossings).length && cnt < 10000) {\n            cnt++;\n            startLoc = Object.keys(pi.crossings)[0].split(',').map(Number);\n            makePath(pi, startLoc, undefined, xtol, ytol);\n        }\n        if(cnt === 10000) Lib.log('Infinite loop in contour?');\n    }\n};\n\nfunction equalPts(pt1, pt2, xtol, ytol) {\n    return Math.abs(pt1[0] - pt2[0]) < xtol &&\n           Math.abs(pt1[1] - pt2[1]) < ytol;\n}\n\n// distance in index units - uses the 3rd and 4th items in points\nfunction ptDist(pt1, pt2) {\n    var dx = pt1[2] - pt2[2],\n        dy = pt1[3] - pt2[3];\n    return Math.sqrt(dx * dx + dy * dy);\n}\n\nfunction makePath(pi, loc, edgeflag, xtol, ytol) {\n    var startLocStr = loc.join(',');\n    var locStr = startLocStr;\n    var mi = pi.crossings[locStr];\n    var marchStep = startStep(mi, edgeflag, loc);\n    // start by going backward a half step and finding the crossing point\n    var pts = [getInterpPx(pi, loc, [-marchStep[0], -marchStep[1]])];\n    var startStepStr = marchStep.join(',');\n    var m = pi.z.length;\n    var n = pi.z[0].length;\n    var cnt;\n\n    // now follow the path\n    for(cnt = 0; cnt < 10000; cnt++) { // just to avoid infinite loops\n        if(mi > 20) {\n            mi = constants.CHOOSESADDLE[mi][(marchStep[0] || marchStep[1]) < 0 ? 0 : 1];\n            pi.crossings[locStr] = constants.SADDLEREMAINDER[mi];\n        }\n        else {\n            delete pi.crossings[locStr];\n        }\n\n        marchStep = constants.NEWDELTA[mi];\n        if(!marchStep) {\n            Lib.log('Found bad marching index:', mi, loc, pi.level);\n            break;\n        }\n\n        // find the crossing a half step forward, and then take the full step\n        pts.push(getInterpPx(pi, loc, marchStep));\n        loc[0] += marchStep[0];\n        loc[1] += marchStep[1];\n\n        // don't include the same point multiple times\n        if(equalPts(pts[pts.length - 1], pts[pts.length - 2], xtol, ytol)) pts.pop();\n        locStr = loc.join(',');\n\n        var atEdge = (marchStep[0] && (loc[0] < 0 || loc[0] > n - 2)) ||\n                (marchStep[1] && (loc[1] < 0 || loc[1] > m - 2)),\n            closedLoop = (locStr === startLocStr) && (marchStep.join(',') === startStepStr);\n\n        // have we completed a loop, or reached an edge?\n        if((closedLoop) || (edgeflag && atEdge)) break;\n\n        mi = pi.crossings[locStr];\n    }\n\n    if(cnt === 10000) {\n        Lib.log('Infinite loop in contour?');\n    }\n    var closedpath = equalPts(pts[0], pts[pts.length - 1], xtol, ytol);\n    var totaldist = 0;\n    var distThresholdFactor = 0.2 * pi.smoothing;\n    var alldists = [];\n    var cropstart = 0;\n    var distgroup, cnt2, cnt3, newpt, ptcnt, ptavg, thisdist,\n        i, j, edgepathi, edgepathj;\n\n    /*\n     * Check for points that are too close together (<1/5 the average dist\n     * *in grid index units* (important for log axes and nonuniform grids),\n     * less if less smoothed) and just take the center (or avg of center 2).\n     * This cuts down on funny behavior when a point is very close to a\n     * contour level.\n     */\n    for(cnt = 1; cnt < pts.length; cnt++) {\n        thisdist = ptDist(pts[cnt], pts[cnt - 1]);\n        totaldist += thisdist;\n        alldists.push(thisdist);\n    }\n\n    var distThreshold = totaldist / alldists.length * distThresholdFactor;\n\n    function getpt(i) { return pts[i % pts.length]; }\n\n    for(cnt = pts.length - 2; cnt >= cropstart; cnt--) {\n        distgroup = alldists[cnt];\n        if(distgroup < distThreshold) {\n            cnt3 = 0;\n            for(cnt2 = cnt - 1; cnt2 >= cropstart; cnt2--) {\n                if(distgroup + alldists[cnt2] < distThreshold) {\n                    distgroup += alldists[cnt2];\n                }\n                else break;\n            }\n\n            // closed path with close points wrapping around the boundary?\n            if(closedpath && cnt === pts.length - 2) {\n                for(cnt3 = 0; cnt3 < cnt2; cnt3++) {\n                    if(distgroup + alldists[cnt3] < distThreshold) {\n                        distgroup += alldists[cnt3];\n                    }\n                    else break;\n                }\n            }\n            ptcnt = cnt - cnt2 + cnt3 + 1;\n            ptavg = Math.floor((cnt + cnt2 + cnt3 + 2) / 2);\n\n            // either endpoint included: keep the endpoint\n            if(!closedpath && cnt === pts.length - 2) newpt = pts[pts.length - 1];\n            else if(!closedpath && cnt2 === -1) newpt = pts[0];\n\n            // odd # of points - just take the central one\n            else if(ptcnt % 2) newpt = getpt(ptavg);\n\n            // even # of pts - average central two\n            else {\n                newpt = [(getpt(ptavg)[0] + getpt(ptavg + 1)[0]) / 2,\n                    (getpt(ptavg)[1] + getpt(ptavg + 1)[1]) / 2];\n            }\n\n            pts.splice(cnt2 + 1, cnt - cnt2 + 1, newpt);\n            cnt = cnt2 + 1;\n            if(cnt3) cropstart = cnt3;\n            if(closedpath) {\n                if(cnt === pts.length - 2) pts[cnt3] = pts[pts.length - 1];\n                else if(cnt === 0) pts[pts.length - 1] = pts[0];\n            }\n        }\n    }\n    pts.splice(0, cropstart);\n\n    // done with the index parts - remove them so path generation works right\n    // because it depends on only having [xpx, ypx]\n    for(cnt = 0; cnt < pts.length; cnt++) pts[cnt].length = 2;\n\n    // don't return single-point paths (ie all points were the same\n    // so they got deleted?)\n    if(pts.length < 2) return;\n    else if(closedpath) {\n        pts.pop();\n        pi.paths.push(pts);\n    }\n    else {\n        if(!edgeflag) {\n            Lib.log('Unclosed interior contour?',\n                pi.level, startLocStr, pts.join('L'));\n        }\n\n        // edge path - does it start where an existing edge path ends, or vice versa?\n        var merged = false;\n        for(i = 0; i < pi.edgepaths.length; i++) {\n            edgepathi = pi.edgepaths[i];\n            if(!merged && equalPts(edgepathi[0], pts[pts.length - 1], xtol, ytol)) {\n                pts.pop();\n                merged = true;\n\n                // now does it ALSO meet the end of another (or the same) path?\n                var doublemerged = false;\n                for(j = 0; j < pi.edgepaths.length; j++) {\n                    edgepathj = pi.edgepaths[j];\n                    if(equalPts(edgepathj[edgepathj.length - 1], pts[0], xtol, ytol)) {\n                        doublemerged = true;\n                        pts.shift();\n                        pi.edgepaths.splice(i, 1);\n                        if(j === i) {\n                            // the path is now closed\n                            pi.paths.push(pts.concat(edgepathj));\n                        }\n                        else {\n                            if(j > i) j--;\n                            pi.edgepaths[j] = edgepathj.concat(pts, edgepathi);\n                        }\n                        break;\n                    }\n                }\n                if(!doublemerged) {\n                    pi.edgepaths[i] = pts.concat(edgepathi);\n                }\n            }\n        }\n        for(i = 0; i < pi.edgepaths.length; i++) {\n            if(merged) break;\n            edgepathi = pi.edgepaths[i];\n            if(equalPts(edgepathi[edgepathi.length - 1], pts[0], xtol, ytol)) {\n                pts.shift();\n                pi.edgepaths[i] = edgepathi.concat(pts);\n                merged = true;\n            }\n        }\n\n        if(!merged) pi.edgepaths.push(pts);\n    }\n}\n\n// special function to get the marching step of the\n// first point in the path (leading to loc)\nfunction startStep(mi, edgeflag, loc) {\n    var dx = 0,\n        dy = 0;\n    if(mi > 20 && edgeflag) {\n        // these saddles start at +/- x\n        if(mi === 208 || mi === 1114) {\n            // if we're starting at the left side, we must be going right\n            dx = loc[0] === 0 ? 1 : -1;\n        }\n        else {\n            // if we're starting at the bottom, we must be going up\n            dy = loc[1] === 0 ? 1 : -1;\n        }\n    }\n    else if(constants.BOTTOMSTART.indexOf(mi) !== -1) dy = 1;\n    else if(constants.LEFTSTART.indexOf(mi) !== -1) dx = 1;\n    else if(constants.TOPSTART.indexOf(mi) !== -1) dy = -1;\n    else dx = -1;\n    return [dx, dy];\n}\n\n/*\n * Find the pixel coordinates of a particular crossing\n *\n * @param {object} pi: the pathinfo object at this level\n * @param {array} loc: the grid index [x, y] of the crossing\n * @param {array} step: the direction [dx, dy] we're moving on the grid\n *\n * @return {array} [xpx, ypx, xi, yi]: the first two are the pixel location,\n *   the next two are the interpolated grid indices, which we use for\n *   distance calculations to delete points that are too close together.\n *   This is important when the grid is nonuniform (and most dramatically when\n *   we're on log axes and include invalid (0 or negative) values.\n *   It's crucial to delete these extra two before turning an array of these\n *   points into a path, because those routines require length-2 points.\n */\nfunction getInterpPx(pi, loc, step) {\n    var locx = loc[0] + Math.max(step[0], 0),\n        locy = loc[1] + Math.max(step[1], 0),\n        zxy = pi.z[locy][locx],\n        xa = pi.xaxis,\n        ya = pi.yaxis;\n\n    if(step[1]) {\n        var dx = (pi.level - zxy) / (pi.z[locy][locx + 1] - zxy);\n\n        return [xa.c2p((1 - dx) * pi.x[locx] + dx * pi.x[locx + 1], true),\n            ya.c2p(pi.y[locy], true),\n            locx + dx, locy];\n    }\n    else {\n        var dy = (pi.level - zxy) / (pi.z[locy + 1][locx] - zxy);\n        return [xa.c2p(pi.x[locx], true),\n            ya.c2p((1 - dy) * pi.y[locy] + dy * pi.y[locy + 1], true),\n            locx, locy + dy];\n    }\n}\n\n},{\"../../lib\":696,\"./constants\":921}],930:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Color = _dereq_('../../components/color');\n\nvar heatmapHoverPoints = _dereq_('../heatmap/hover');\n\nmodule.exports = function hoverPoints(pointData, xval, yval, hovermode, hoverLayer) {\n    var hoverData = heatmapHoverPoints(pointData, xval, yval, hovermode, hoverLayer, true);\n\n    if(hoverData) {\n        hoverData.forEach(function(hoverPt) {\n            var trace = hoverPt.trace;\n            if(trace.contours.type === 'constraint') {\n                if(trace.fillcolor && Color.opacity(trace.fillcolor)) {\n                    hoverPt.color = Color.addOpacity(trace.fillcolor, 1);\n                }\n                else if(trace.contours.showlines && Color.opacity(trace.line.color)) {\n                    hoverPt.color = Color.addOpacity(trace.line.color, 1);\n                }\n            }\n        });\n    }\n\n    return hoverData;\n};\n\n},{\"../../components/color\":570,\"../heatmap/hover\":953}],931:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Contour = {};\n\nContour.attributes = _dereq_('./attributes');\nContour.supplyDefaults = _dereq_('./defaults');\nContour.calc = _dereq_('./calc');\nContour.plot = _dereq_('./plot').plot;\nContour.style = _dereq_('./style');\nContour.colorbar = _dereq_('./colorbar');\nContour.hoverPoints = _dereq_('./hover');\n\nContour.moduleType = 'trace';\nContour.name = 'contour';\nContour.basePlotModule = _dereq_('../../plots/cartesian');\nContour.categories = ['cartesian', 'svg', '2dMap', 'contour', 'showLegend'];\nContour.meta = {\n    \n};\n\nmodule.exports = Contour;\n\n},{\"../../plots/cartesian\":757,\"./attributes\":917,\"./calc\":918,\"./colorbar\":920,\"./defaults\":926,\"./hover\":930,\"./plot\":935,\"./style\":937}],932:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nmodule.exports = function handleLabelDefaults(coerce, layout, lineColor, opts) {\n    if(!opts) opts = {};\n    var showLabels = coerce('contours.showlabels');\n    if(showLabels) {\n        var globalFont = layout.font;\n        Lib.coerceFont(coerce, 'contours.labelfont', {\n            family: globalFont.family,\n            size: globalFont.size,\n            color: lineColor\n        });\n        coerce('contours.labelformat');\n    }\n\n    if(opts.hasHover !== false) coerce('zhoverformat');\n};\n\n},{\"../../lib\":696}],933:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Colorscale = _dereq_('../../components/colorscale');\nvar endPlus = _dereq_('./end_plus');\n\nmodule.exports = function makeColorMap(trace) {\n    var contours = trace.contours,\n        start = contours.start,\n        end = endPlus(contours),\n        cs = contours.size || 1,\n        nc = Math.floor((end - start) / cs) + 1,\n        extra = contours.coloring === 'lines' ? 0 : 1;\n\n    if(!isFinite(cs)) {\n        cs = 1;\n        nc = 1;\n    }\n\n    var scl = trace.colorscale,\n        len = scl.length;\n\n    var domain = new Array(len),\n        range = new Array(len);\n\n    var si, i;\n\n    if(contours.coloring === 'heatmap') {\n        if(trace.zauto && trace.autocontour === false) {\n            trace.zmin = start - cs / 2;\n            trace.zmax = trace.zmin + nc * cs;\n        }\n\n        for(i = 0; i < len; i++) {\n            si = scl[i];\n\n            domain[i] = si[0] * (trace.zmax - trace.zmin) + trace.zmin;\n            range[i] = si[1];\n        }\n\n        // do the contours extend beyond the colorscale?\n        // if so, extend the colorscale with constants\n        var zRange = d3.extent([trace.zmin, trace.zmax, contours.start,\n                contours.start + cs * (nc - 1)]),\n            zmin = zRange[trace.zmin < trace.zmax ? 0 : 1],\n            zmax = zRange[trace.zmin < trace.zmax ? 1 : 0];\n\n        if(zmin !== trace.zmin) {\n            domain.splice(0, 0, zmin);\n            range.splice(0, 0, Range[0]);\n        }\n\n        if(zmax !== trace.zmax) {\n            domain.push(zmax);\n            range.push(range[range.length - 1]);\n        }\n    }\n    else {\n        for(i = 0; i < len; i++) {\n            si = scl[i];\n\n            domain[i] = (si[0] * (nc + extra - 1) - (extra / 2)) * cs + start;\n            range[i] = si[1];\n        }\n    }\n\n    return Colorscale.makeColorScaleFunc({\n        domain: domain,\n        range: range,\n    }, {\n        noNumericCheck: true\n    });\n};\n\n},{\"../../components/colorscale\":585,\"./end_plus\":928,\"d3\":148}],934:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar constants = _dereq_('./constants');\n\n// Calculate all the marching indices, for ALL levels at once.\n// since we want to be exhaustive we'll check for contour crossings\n// at every intersection, rather than just following a path\n// TODO: shorten the inner loop to only the relevant levels\nmodule.exports = function makeCrossings(pathinfo) {\n    var z = pathinfo[0].z,\n        m = z.length,\n        n = z[0].length, // we already made sure z isn't ragged in interp2d\n        twoWide = m === 2 || n === 2,\n        xi,\n        yi,\n        startIndices,\n        ystartIndices,\n        label,\n        corners,\n        mi,\n        pi,\n        i;\n\n    for(yi = 0; yi < m - 1; yi++) {\n        ystartIndices = [];\n        if(yi === 0) ystartIndices = ystartIndices.concat(constants.BOTTOMSTART);\n        if(yi === m - 2) ystartIndices = ystartIndices.concat(constants.TOPSTART);\n\n        for(xi = 0; xi < n - 1; xi++) {\n            startIndices = ystartIndices.slice();\n            if(xi === 0) startIndices = startIndices.concat(constants.LEFTSTART);\n            if(xi === n - 2) startIndices = startIndices.concat(constants.RIGHTSTART);\n\n            label = xi + ',' + yi;\n            corners = [[z[yi][xi], z[yi][xi + 1]],\n                       [z[yi + 1][xi], z[yi + 1][xi + 1]]];\n            for(i = 0; i < pathinfo.length; i++) {\n                pi = pathinfo[i];\n                mi = getMarchingIndex(pi.level, corners);\n                if(!mi) continue;\n\n                pi.crossings[label] = mi;\n                if(startIndices.indexOf(mi) !== -1) {\n                    pi.starts.push([xi, yi]);\n                    if(twoWide && startIndices.indexOf(mi,\n                            startIndices.indexOf(mi) + 1) !== -1) {\n                        // the same square has starts from opposite sides\n                        // it's not possible to have starts on opposite edges\n                        // of a corner, only a start and an end...\n                        // but if the array is only two points wide (either way)\n                        // you can have starts on opposite sides.\n                        pi.starts.push([xi, yi]);\n                    }\n                }\n            }\n        }\n    }\n};\n\n// modified marching squares algorithm,\n// so we disambiguate the saddle points from the start\n// and we ignore the cases with no crossings\n// the index I'm using is based on:\n// http://en.wikipedia.org/wiki/Marching_squares\n// except that the saddles bifurcate and I represent them\n// as the decimal combination of the two appropriate\n// non-saddle indices\nfunction getMarchingIndex(val, corners) {\n    var mi = (corners[0][0] > val ? 0 : 1) +\n             (corners[0][1] > val ? 0 : 2) +\n             (corners[1][1] > val ? 0 : 4) +\n             (corners[1][0] > val ? 0 : 8);\n    if(mi === 5 || mi === 10) {\n        var avg = (corners[0][0] + corners[0][1] +\n                   corners[1][0] + corners[1][1]) / 4;\n        // two peaks with a big valley\n        if(val > avg) return (mi === 5) ? 713 : 1114;\n        // two valleys with a big ridge\n        return (mi === 5) ? 104 : 208;\n    }\n    return (mi === 15) ? 0 : mi;\n}\n\n},{\"./constants\":921}],935:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Lib = _dereq_('../../lib');\nvar Drawing = _dereq_('../../components/drawing');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar setConvert = _dereq_('../../plots/cartesian/set_convert');\n\nvar heatmapPlot = _dereq_('../heatmap/plot');\nvar makeCrossings = _dereq_('./make_crossings');\nvar findAllPaths = _dereq_('./find_all_paths');\nvar emptyPathinfo = _dereq_('./empty_pathinfo');\nvar convertToConstraints = _dereq_('./convert_to_constraints');\nvar closeBoundaries = _dereq_('./close_boundaries');\nvar constants = _dereq_('./constants');\nvar costConstants = constants.LABELOPTIMIZER;\n\nexports.plot = function plot(gd, plotinfo, cdcontours, contourLayer) {\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n    var fullLayout = gd._fullLayout;\n\n    Lib.makeTraceGroups(contourLayer, cdcontours, 'contour').each(function(cd) {\n        var plotGroup = d3.select(this);\n        var cd0 = cd[0];\n        var trace = cd0.trace;\n        var x = cd0.x;\n        var y = cd0.y;\n        var contours = trace.contours;\n        var pathinfo = emptyPathinfo(contours, plotinfo, cd0);\n\n        // use a heatmap to fill - draw it behind the lines\n        var heatmapColoringLayer = Lib.ensureSingle(plotGroup, 'g', 'heatmapcoloring');\n        var cdheatmaps = [];\n        if(contours.coloring === 'heatmap') {\n            if(trace.zauto && (trace.autocontour === false)) {\n                trace._input.zmin = trace.zmin =\n                    contours.start - contours.size / 2;\n                trace._input.zmax = trace.zmax =\n                    trace.zmin + pathinfo.length * contours.size;\n            }\n            cdheatmaps = [cd];\n        }\n        heatmapPlot(gd, plotinfo, cdheatmaps, heatmapColoringLayer);\n\n        makeCrossings(pathinfo);\n        findAllPaths(pathinfo);\n\n        var leftedge = xa.c2p(x[0], true),\n            rightedge = xa.c2p(x[x.length - 1], true),\n            bottomedge = ya.c2p(y[0], true),\n            topedge = ya.c2p(y[y.length - 1], true),\n            perimeter = [\n                [leftedge, topedge],\n                [rightedge, topedge],\n                [rightedge, bottomedge],\n                [leftedge, bottomedge]\n            ];\n\n        var fillPathinfo = pathinfo;\n        if(contours.type === 'constraint') {\n            fillPathinfo = convertToConstraints(pathinfo, contours._operation);\n            closeBoundaries(fillPathinfo, contours._operation, perimeter, trace);\n        }\n\n        // draw everything\n        makeBackground(plotGroup, perimeter, contours);\n        makeFills(plotGroup, fillPathinfo, perimeter, contours);\n        makeLinesAndLabels(plotGroup, pathinfo, gd, cd0, contours, perimeter);\n        clipGaps(plotGroup, plotinfo, fullLayout._clips, cd0, perimeter);\n    });\n};\n\nfunction makeBackground(plotgroup, perimeter, contours) {\n    var bggroup = Lib.ensureSingle(plotgroup, 'g', 'contourbg');\n\n    var bgfill = bggroup.selectAll('path')\n        .data(contours.coloring === 'fill' ? [0] : []);\n    bgfill.enter().append('path');\n    bgfill.exit().remove();\n    bgfill\n        .attr('d', 'M' + perimeter.join('L') + 'Z')\n        .style('stroke', 'none');\n}\n\nfunction makeFills(plotgroup, pathinfo, perimeter, contours) {\n    var fillgroup = Lib.ensureSingle(plotgroup, 'g', 'contourfill');\n\n    var fillitems = fillgroup.selectAll('path')\n        .data(contours.coloring === 'fill' || (contours.type === 'constraint' && contours._operation !== '=') ? pathinfo : []);\n    fillitems.enter().append('path');\n    fillitems.exit().remove();\n    fillitems.each(function(pi) {\n        // join all paths for this level together into a single path\n        // first follow clockwise around the perimeter to close any open paths\n        // if the whole perimeter is above this level, start with a path\n        // enclosing the whole thing. With all that, the parity should mean\n        // that we always fill everything above the contour, nothing below\n        var fullpath = joinAllPaths(pi, perimeter);\n\n        if(!fullpath) d3.select(this).remove();\n        else d3.select(this).attr('d', fullpath).style('stroke', 'none');\n    });\n}\n\nfunction initFullPath(pi, perimeter) {\n    var prefixBoundary = pi.prefixBoundary;\n    if(prefixBoundary === undefined) {\n        var edgeVal2 = Math.min(pi.z[0][0], pi.z[0][1]);\n        prefixBoundary = (!pi.edgepaths.length && edgeVal2 > pi.level);\n    }\n\n    if(prefixBoundary) {\n        // TODO: why does ^^ not work for constraints?\n        // pi.prefixBoundary gets set by closeBoundaries\n        return 'M' + perimeter.join('L') + 'Z';\n    }\n    return '';\n}\n\nfunction joinAllPaths(pi, perimeter) {\n    var fullpath = initFullPath(pi, perimeter),\n        i = 0,\n        startsleft = pi.edgepaths.map(function(v, i) { return i; }),\n        newloop = true,\n        endpt,\n        newendpt,\n        cnt,\n        nexti,\n        possiblei,\n        addpath;\n\n    function istop(pt) { return Math.abs(pt[1] - perimeter[0][1]) < 0.01; }\n    function isbottom(pt) { return Math.abs(pt[1] - perimeter[2][1]) < 0.01; }\n    function isleft(pt) { return Math.abs(pt[0] - perimeter[0][0]) < 0.01; }\n    function isright(pt) { return Math.abs(pt[0] - perimeter[2][0]) < 0.01; }\n\n    while(startsleft.length) {\n        addpath = Drawing.smoothopen(pi.edgepaths[i], pi.smoothing);\n        fullpath += newloop ? addpath : addpath.replace(/^M/, 'L');\n        startsleft.splice(startsleft.indexOf(i), 1);\n        endpt = pi.edgepaths[i][pi.edgepaths[i].length - 1];\n        nexti = -1;\n\n        // now loop through sides, moving our endpoint until we find a new start\n        for(cnt = 0; cnt < 4; cnt++) { // just to prevent infinite loops\n            if(!endpt) {\n                Lib.log('Missing end?', i, pi);\n                break;\n            }\n\n            if(istop(endpt) && !isright(endpt)) newendpt = perimeter[1]; // right top\n            else if(isleft(endpt)) newendpt = perimeter[0]; // left top\n            else if(isbottom(endpt)) newendpt = perimeter[3]; // right bottom\n            else if(isright(endpt)) newendpt = perimeter[2]; // left bottom\n\n            for(possiblei = 0; possiblei < pi.edgepaths.length; possiblei++) {\n                var ptNew = pi.edgepaths[possiblei][0];\n                // is ptNew on the (horz. or vert.) segment from endpt to newendpt?\n                if(Math.abs(endpt[0] - newendpt[0]) < 0.01) {\n                    if(Math.abs(endpt[0] - ptNew[0]) < 0.01 &&\n                            (ptNew[1] - endpt[1]) * (newendpt[1] - ptNew[1]) >= 0) {\n                        newendpt = ptNew;\n                        nexti = possiblei;\n                    }\n                }\n                else if(Math.abs(endpt[1] - newendpt[1]) < 0.01) {\n                    if(Math.abs(endpt[1] - ptNew[1]) < 0.01 &&\n                            (ptNew[0] - endpt[0]) * (newendpt[0] - ptNew[0]) >= 0) {\n                        newendpt = ptNew;\n                        nexti = possiblei;\n                    }\n                }\n                else {\n                    Lib.log('endpt to newendpt is not vert. or horz.',\n                        endpt, newendpt, ptNew);\n                }\n            }\n\n            endpt = newendpt;\n\n            if(nexti >= 0) break;\n            fullpath += 'L' + newendpt;\n        }\n\n        if(nexti === pi.edgepaths.length) {\n            Lib.log('unclosed perimeter path');\n            break;\n        }\n\n        i = nexti;\n\n        // if we closed back on a loop we already included,\n        // close it and start a new loop\n        newloop = (startsleft.indexOf(i) === -1);\n        if(newloop) {\n            i = startsleft[0];\n            fullpath += 'Z';\n        }\n    }\n\n    // finally add the interior paths\n    for(i = 0; i < pi.paths.length; i++) {\n        fullpath += Drawing.smoothclosed(pi.paths[i], pi.smoothing);\n    }\n\n    return fullpath;\n}\n\nfunction makeLinesAndLabels(plotgroup, pathinfo, gd, cd0, contours, perimeter) {\n    var lineContainer = Lib.ensureSingle(plotgroup, 'g', 'contourlines');\n    var showLines = contours.showlines !== false;\n    var showLabels = contours.showlabels;\n    var clipLinesForLabels = showLines && showLabels;\n\n    // Even if we're not going to show lines, we need to create them\n    // if we're showing labels, because the fill paths include the perimeter\n    // so can't be used to position the labels correctly.\n    // In this case we'll remove the lines after making the labels.\n    var linegroup = exports.createLines(lineContainer, showLines || showLabels, pathinfo);\n\n    var lineClip = exports.createLineClip(lineContainer, clipLinesForLabels,\n        gd._fullLayout._clips, cd0.trace.uid);\n\n    var labelGroup = plotgroup.selectAll('g.contourlabels')\n        .data(showLabels ? [0] : []);\n\n    labelGroup.exit().remove();\n\n    labelGroup.enter().append('g')\n        .classed('contourlabels', true);\n\n    if(showLabels) {\n        var labelClipPathData = [perimeter];\n\n        var labelData = [];\n\n        // invalidate the getTextLocation cache in case paths changed\n        Lib.clearLocationCache();\n\n        var contourFormat = exports.labelFormatter(contours, cd0.t.cb, gd._fullLayout);\n\n        var dummyText = Drawing.tester.append('text')\n            .attr('data-notex', 1)\n            .call(Drawing.font, contours.labelfont);\n\n        var xLen = pathinfo[0].xaxis._length;\n        var yLen = pathinfo[0].yaxis._length;\n\n        // visible bounds of the contour trace (and the midpoints, to\n        // help with cost calculations)\n        var bounds = {\n            left: Math.max(perimeter[0][0], 0),\n            right: Math.min(perimeter[2][0], xLen),\n            top: Math.max(perimeter[0][1], 0),\n            bottom: Math.min(perimeter[2][1], yLen)\n        };\n        bounds.middle = (bounds.top + bounds.bottom) / 2;\n        bounds.center = (bounds.left + bounds.right) / 2;\n\n        var plotDiagonal = Math.sqrt(xLen * xLen + yLen * yLen);\n\n        // the path length to use to scale the number of labels to draw:\n        var normLength = constants.LABELDISTANCE * plotDiagonal /\n            Math.max(1, pathinfo.length / constants.LABELINCREASE);\n\n        linegroup.each(function(d) {\n            var textOpts = exports.calcTextOpts(d.level, contourFormat, dummyText, gd);\n\n            d3.select(this).selectAll('path').each(function() {\n                var path = this;\n                var pathBounds = Lib.getVisibleSegment(path, bounds, textOpts.height / 2);\n                if(!pathBounds) return;\n\n                if(pathBounds.len < (textOpts.width + textOpts.height) * constants.LABELMIN) return;\n\n                var maxLabels = Math.min(Math.ceil(pathBounds.len / normLength),\n                    constants.LABELMAX);\n\n                for(var i = 0; i < maxLabels; i++) {\n                    var loc = exports.findBestTextLocation(path, pathBounds, textOpts,\n                        labelData, bounds);\n\n                    if(!loc) break;\n\n                    exports.addLabelData(loc, textOpts, labelData, labelClipPathData);\n                }\n            });\n        });\n\n        dummyText.remove();\n\n        exports.drawLabels(labelGroup, labelData, gd, lineClip,\n            clipLinesForLabels ? labelClipPathData : null);\n    }\n\n    if(showLabels && !showLines) linegroup.remove();\n}\n\nexports.createLines = function(lineContainer, makeLines, pathinfo) {\n    var smoothing = pathinfo[0].smoothing;\n\n    var linegroup = lineContainer.selectAll('g.contourlevel')\n        .data(makeLines ? pathinfo : []);\n\n    linegroup.exit().remove();\n    linegroup.enter().append('g')\n        .classed('contourlevel', true);\n\n    if(makeLines) {\n        // pedgepaths / ppaths are used by contourcarpet, for the paths transformed from a/b to x/y\n        // edgepaths / paths are used by contour since it's in x/y from the start\n        var opencontourlines = linegroup.selectAll('path.openline')\n            .data(function(d) { return d.pedgepaths || d.edgepaths; });\n\n        opencontourlines.exit().remove();\n        opencontourlines.enter().append('path')\n            .classed('openline', true);\n\n        opencontourlines\n            .attr('d', function(d) {\n                return Drawing.smoothopen(d, smoothing);\n            })\n            .style('stroke-miterlimit', 1)\n            .style('vector-effect', 'non-scaling-stroke');\n\n        var closedcontourlines = linegroup.selectAll('path.closedline')\n            .data(function(d) { return d.ppaths || d.paths; });\n\n        closedcontourlines.exit().remove();\n        closedcontourlines.enter().append('path')\n            .classed('closedline', true);\n\n        closedcontourlines\n            .attr('d', function(d) {\n                return Drawing.smoothclosed(d, smoothing);\n            })\n            .style('stroke-miterlimit', 1)\n            .style('vector-effect', 'non-scaling-stroke');\n    }\n\n    return linegroup;\n};\n\nexports.createLineClip = function(lineContainer, clipLinesForLabels, clips, uid) {\n    var clipId = clipLinesForLabels ? ('clipline' + uid) : null;\n\n    var lineClip = clips.selectAll('#' + clipId)\n        .data(clipLinesForLabels ? [0] : []);\n    lineClip.exit().remove();\n\n    lineClip.enter().append('clipPath')\n        .classed('contourlineclip', true)\n        .attr('id', clipId);\n\n    Drawing.setClipUrl(lineContainer, clipId);\n\n    return lineClip;\n};\n\nexports.labelFormatter = function(contours, colorbar, fullLayout) {\n    if(contours.labelformat) {\n        return fullLayout._d3locale.numberFormat(contours.labelformat);\n    }\n    else {\n        var formatAxis;\n        if(colorbar) {\n            formatAxis = colorbar.axis;\n        }\n        else {\n            formatAxis = {\n                type: 'linear',\n                _id: 'ycontour',\n                showexponent: 'all',\n                exponentformat: 'B'\n            };\n\n            if(contours.type === 'constraint') {\n                var value = contours.value;\n                if(Array.isArray(value)) {\n                    formatAxis.range = [value[0], value[value.length - 1]];\n                }\n                else formatAxis.range = [value, value];\n            }\n            else {\n                formatAxis.range = [contours.start, contours.end];\n                formatAxis.nticks = (contours.end - contours.start) / contours.size;\n            }\n\n            if(formatAxis.range[0] === formatAxis.range[1]) {\n                formatAxis.range[1] += formatAxis.range[0] || 1;\n            }\n            if(!formatAxis.nticks) formatAxis.nticks = 1000;\n\n            setConvert(formatAxis, fullLayout);\n            Axes.prepTicks(formatAxis);\n            formatAxis._tmin = null;\n            formatAxis._tmax = null;\n        }\n        return function(v) {\n            return Axes.tickText(formatAxis, v).text;\n        };\n    }\n};\n\nexports.calcTextOpts = function(level, contourFormat, dummyText, gd) {\n    var text = contourFormat(level);\n    dummyText.text(text)\n        .call(svgTextUtils.convertToTspans, gd);\n    var bBox = Drawing.bBox(dummyText.node(), true);\n\n    return {\n        text: text,\n        width: bBox.width,\n        height: bBox.height,\n        level: level,\n        dy: (bBox.top + bBox.bottom) / 2\n    };\n};\n\nexports.findBestTextLocation = function(path, pathBounds, textOpts, labelData, plotBounds) {\n    var textWidth = textOpts.width;\n\n    var p0, dp, pMax, pMin, loc;\n    if(pathBounds.isClosed) {\n        dp = pathBounds.len / costConstants.INITIALSEARCHPOINTS;\n        p0 = pathBounds.min + dp / 2;\n        pMax = pathBounds.max;\n    }\n    else {\n        dp = (pathBounds.len - textWidth) / (costConstants.INITIALSEARCHPOINTS + 1);\n        p0 = pathBounds.min + dp + textWidth / 2;\n        pMax = pathBounds.max - (dp + textWidth) / 2;\n    }\n\n    var cost = Infinity;\n    for(var j = 0; j < costConstants.ITERATIONS; j++) {\n        for(var p = p0; p < pMax; p += dp) {\n            var newLocation = Lib.getTextLocation(path, pathBounds.total, p, textWidth);\n            var newCost = locationCost(newLocation, textOpts, labelData, plotBounds);\n            if(newCost < cost) {\n                cost = newCost;\n                loc = newLocation;\n                pMin = p;\n            }\n        }\n        if(cost > costConstants.MAXCOST * 2) break;\n\n        // subsequent iterations just look half steps away from the\n        // best we found in the previous iteration\n        if(j) dp /= 2;\n        p0 = pMin - dp / 2;\n        pMax = p0 + dp * 1.5;\n    }\n    if(cost <= costConstants.MAXCOST) return loc;\n};\n\n/*\n * locationCost: a cost function for label locations\n * composed of three kinds of penalty:\n * - for open paths, being close to the end of the path\n * - the angle away from horizontal\n * - being too close to already placed neighbors\n */\nfunction locationCost(loc, textOpts, labelData, bounds) {\n    var halfWidth = textOpts.width / 2;\n    var halfHeight = textOpts.height / 2;\n    var x = loc.x;\n    var y = loc.y;\n    var theta = loc.theta;\n    var dx = Math.cos(theta) * halfWidth;\n    var dy = Math.sin(theta) * halfWidth;\n\n    // cost for being near an edge\n    var normX = ((x > bounds.center) ? (bounds.right - x) : (x - bounds.left)) /\n        (dx + Math.abs(Math.sin(theta) * halfHeight));\n    var normY = ((y > bounds.middle) ? (bounds.bottom - y) : (y - bounds.top)) /\n        (Math.abs(dy) + Math.cos(theta) * halfHeight);\n    if(normX < 1 || normY < 1) return Infinity;\n    var cost = costConstants.EDGECOST * (1 / (normX - 1) + 1 / (normY - 1));\n\n    // cost for not being horizontal\n    cost += costConstants.ANGLECOST * theta * theta;\n\n    // cost for being close to other labels\n    var x1 = x - dx;\n    var y1 = y - dy;\n    var x2 = x + dx;\n    var y2 = y + dy;\n    for(var i = 0; i < labelData.length; i++) {\n        var labeli = labelData[i];\n        var dxd = Math.cos(labeli.theta) * labeli.width / 2;\n        var dyd = Math.sin(labeli.theta) * labeli.width / 2;\n        var dist = Lib.segmentDistance(\n            x1, y1,\n            x2, y2,\n            labeli.x - dxd, labeli.y - dyd,\n            labeli.x + dxd, labeli.y + dyd\n        ) * 2 / (textOpts.height + labeli.height);\n\n        var sameLevel = labeli.level === textOpts.level;\n        var distOffset = sameLevel ? costConstants.SAMELEVELDISTANCE : 1;\n\n        if(dist <= distOffset) return Infinity;\n\n        var distFactor = costConstants.NEIGHBORCOST *\n            (sameLevel ? costConstants.SAMELEVELFACTOR : 1);\n\n        cost += distFactor / (dist - distOffset);\n    }\n\n    return cost;\n}\n\nexports.addLabelData = function(loc, textOpts, labelData, labelClipPathData) {\n    var halfWidth = textOpts.width / 2;\n    var halfHeight = textOpts.height / 2;\n\n    var x = loc.x;\n    var y = loc.y;\n    var theta = loc.theta;\n\n    var sin = Math.sin(theta);\n    var cos = Math.cos(theta);\n    var dxw = halfWidth * cos;\n    var dxh = halfHeight * sin;\n    var dyw = halfWidth * sin;\n    var dyh = -halfHeight * cos;\n    var bBoxPts = [\n        [x - dxw - dxh, y - dyw - dyh],\n        [x + dxw - dxh, y + dyw - dyh],\n        [x + dxw + dxh, y + dyw + dyh],\n        [x - dxw + dxh, y - dyw + dyh],\n    ];\n\n    labelData.push({\n        text: textOpts.text,\n        x: x,\n        y: y,\n        dy: textOpts.dy,\n        theta: theta,\n        level: textOpts.level,\n        width: textOpts.width,\n        height: textOpts.height\n    });\n\n    labelClipPathData.push(bBoxPts);\n};\n\nexports.drawLabels = function(labelGroup, labelData, gd, lineClip, labelClipPathData) {\n    var labels = labelGroup.selectAll('text')\n        .data(labelData, function(d) {\n            return d.text + ',' + d.x + ',' + d.y + ',' + d.theta;\n        });\n\n    labels.exit().remove();\n\n    labels.enter().append('text')\n        .attr({\n            'data-notex': 1,\n            'text-anchor': 'middle'\n        })\n        .each(function(d) {\n            var x = d.x + Math.sin(d.theta) * d.dy;\n            var y = d.y - Math.cos(d.theta) * d.dy;\n            d3.select(this)\n                .text(d.text)\n                .attr({\n                    x: x,\n                    y: y,\n                    transform: 'rotate(' + (180 * d.theta / Math.PI) + ' ' + x + ' ' + y + ')'\n                })\n                .call(svgTextUtils.convertToTspans, gd);\n        });\n\n    if(labelClipPathData) {\n        var clipPath = '';\n        for(var i = 0; i < labelClipPathData.length; i++) {\n            clipPath += 'M' + labelClipPathData[i].join('L') + 'Z';\n        }\n\n        var lineClipPath = Lib.ensureSingle(lineClip, 'path', '');\n        lineClipPath.attr('d', clipPath);\n    }\n};\n\nfunction clipGaps(plotGroup, plotinfo, clips, cd0, perimeter) {\n    var clipId = 'clip' + cd0.trace.uid;\n\n    var clipPath = clips.selectAll('#' + clipId)\n        .data(cd0.trace.connectgaps ? [] : [0]);\n    clipPath.enter().append('clipPath')\n        .classed('contourclip', true)\n        .attr('id', clipId);\n    clipPath.exit().remove();\n\n    if(cd0.trace.connectgaps === false) {\n        var clipPathInfo = {\n            // fraction of the way from missing to present point\n            // to draw the boundary.\n            // if you make this 1 (or 1-epsilon) then a point in\n            // a sea of missing data will disappear entirely.\n            level: 0.9,\n            crossings: {},\n            starts: [],\n            edgepaths: [],\n            paths: [],\n            xaxis: plotinfo.xaxis,\n            yaxis: plotinfo.yaxis,\n            x: cd0.x,\n            y: cd0.y,\n            // 0 = no data, 1 = data\n            z: makeClipMask(cd0),\n            smoothing: 0\n        };\n\n        makeCrossings([clipPathInfo]);\n        findAllPaths([clipPathInfo]);\n        var fullpath = joinAllPaths(clipPathInfo, perimeter);\n\n        var path = Lib.ensureSingle(clipPath, 'path', '');\n        path.attr('d', fullpath);\n    }\n    else clipId = null;\n\n    plotGroup.call(Drawing.setClipUrl, clipId);\n}\n\nfunction makeClipMask(cd0) {\n    var empties = cd0.trace._emptypoints,\n        z = [],\n        m = cd0.z.length,\n        n = cd0.z[0].length,\n        i,\n        row = [],\n        emptyPoint;\n\n    for(i = 0; i < n; i++) row.push(1);\n    for(i = 0; i < m; i++) z.push(row.slice());\n    for(i = 0; i < empties.length; i++) {\n        emptyPoint = empties[i];\n        z[emptyPoint[0]][emptyPoint[1]] = 0;\n    }\n    // save this mask to determine whether to show this data in hover\n    cd0.zmask = z;\n    return z;\n}\n\n},{\"../../components/drawing\":595,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"../../plots/cartesian/axes\":745,\"../../plots/cartesian/set_convert\":764,\"../heatmap/plot\":958,\"./close_boundaries\":919,\"./constants\":921,\"./convert_to_constraints\":925,\"./empty_pathinfo\":927,\"./find_all_paths\":929,\"./make_crossings\":934,\"d3\":148}],936:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Lib = _dereq_('../../lib');\n\n\nmodule.exports = function setContours(trace) {\n    var contours = trace.contours;\n\n    // check if we need to auto-choose contour levels\n    if(trace.autocontour) {\n        var zmin = trace.zmin;\n        var zmax = trace.zmax;\n        if(zmin === undefined || zmax === undefined) {\n            zmin = Lib.aggNums(Math.min, null, trace._z);\n            zmax = Lib.aggNums(Math.max, null, trace._z);\n        }\n        var dummyAx = autoContours(zmin, zmax, trace.ncontours);\n\n        contours.size = dummyAx.dtick;\n\n        contours.start = Axes.tickFirst(dummyAx);\n        dummyAx.range.reverse();\n        contours.end = Axes.tickFirst(dummyAx);\n\n        if(contours.start === zmin) contours.start += contours.size;\n        if(contours.end === zmax) contours.end -= contours.size;\n\n        // if you set a small ncontours, *and* the ends are exactly on zmin/zmax\n        // there's an edge case where start > end now. Make sure there's at least\n        // one meaningful contour, put it midway between the crossed values\n        if(contours.start > contours.end) {\n            contours.start = contours.end = (contours.start + contours.end) / 2;\n        }\n\n        // copy auto-contour info back to the source data.\n        // previously we copied the whole contours object back, but that had\n        // other info (coloring, showlines) that should be left to supplyDefaults\n        if(!trace._input.contours) trace._input.contours = {};\n        Lib.extendFlat(trace._input.contours, {\n            start: contours.start,\n            end: contours.end,\n            size: contours.size\n        });\n        trace._input.autocontour = true;\n    }\n    else if(contours.type !== 'constraint') {\n        // sanity checks on manually-supplied start/end/size\n        var start = contours.start,\n            end = contours.end,\n            inputContours = trace._input.contours;\n\n        if(start > end) {\n            contours.start = inputContours.start = end;\n            end = contours.end = inputContours.end = start;\n            start = contours.start;\n        }\n\n        if(!(contours.size > 0)) {\n            var sizeOut;\n            if(start === end) sizeOut = 1;\n            else sizeOut = autoContours(start, end, trace.ncontours).dtick;\n\n            inputContours.size = contours.size = sizeOut;\n        }\n    }\n};\n\n\n/*\n * autoContours: make a dummy axis object with dtick we can use\n * as contours.size, and if needed we can use Axes.tickFirst\n * with this axis object to calculate the start and end too\n *\n * start: the value to start the contours at\n * end: the value to end at (must be > start)\n * ncontours: max number of contours to make, like roughDTick\n *\n * returns: an axis object\n */\nfunction autoContours(start, end, ncontours) {\n    var dummyAx = {\n        type: 'linear',\n        range: [start, end]\n    };\n\n    Axes.autoTicks(\n        dummyAx,\n        (end - start) / (ncontours || 15)\n    );\n\n    return dummyAx;\n}\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745}],937:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Drawing = _dereq_('../../components/drawing');\nvar heatmapStyle = _dereq_('../heatmap/style');\n\nvar makeColorMap = _dereq_('./make_color_map');\n\n\nmodule.exports = function style(gd) {\n    var contours = d3.select(gd).selectAll('g.contour');\n\n    contours.style('opacity', function(d) {\n        return d[0].trace.opacity;\n    });\n\n    contours.each(function(d) {\n        var c = d3.select(this);\n        var trace = d[0].trace;\n        var contours = trace.contours;\n        var line = trace.line;\n        var cs = contours.size || 1;\n        var start = contours.start;\n\n        // for contourcarpet only - is this a constraint-type contour trace?\n        var isConstraintType = contours.type === 'constraint';\n        var colorLines = !isConstraintType && contours.coloring === 'lines';\n        var colorFills = !isConstraintType && contours.coloring === 'fill';\n\n        var colorMap = (colorLines || colorFills) ? makeColorMap(trace) : null;\n\n        c.selectAll('g.contourlevel').each(function(d) {\n            d3.select(this).selectAll('path')\n                .call(Drawing.lineGroupStyle,\n                    line.width,\n                    colorLines ? colorMap(d.level) : line.color,\n                    line.dash);\n        });\n\n        var labelFont = contours.labelfont;\n        c.selectAll('g.contourlabels text').each(function(d) {\n            Drawing.font(d3.select(this), {\n                family: labelFont.family,\n                size: labelFont.size,\n                color: labelFont.color || (colorLines ? colorMap(d.level) : line.color)\n            });\n        });\n\n        if(isConstraintType) {\n            c.selectAll('g.contourfill path')\n                .style('fill', trace.fillcolor);\n        }\n        else if(colorFills) {\n            var firstFill;\n\n            c.selectAll('g.contourfill path')\n                .style('fill', function(d) {\n                    if(firstFill === undefined) firstFill = d.level;\n                    return colorMap(d.level + 0.5 * cs);\n                });\n\n            if(firstFill === undefined) firstFill = start;\n\n            c.selectAll('g.contourbg path')\n                .style('fill', colorMap(firstFill - 0.5 * cs));\n        }\n    });\n\n    heatmapStyle(gd);\n};\n\n},{\"../../components/drawing\":595,\"../heatmap/style\":959,\"./make_color_map\":933,\"d3\":148}],938:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\nvar handleLabelDefaults = _dereq_('./label_defaults');\n\n\nmodule.exports = function handleStyleDefaults(traceIn, traceOut, coerce, layout, opts) {\n    var coloring = coerce('contours.coloring');\n\n    var showLines;\n    var lineColor = '';\n    if(coloring === 'fill') showLines = coerce('contours.showlines');\n\n    if(showLines !== false) {\n        if(coloring !== 'lines') lineColor = coerce('line.color', '#000');\n        coerce('line.width', 0.5);\n        coerce('line.dash');\n    }\n\n    if(coloring !== 'none') {\n        // plots/plots always coerces showlegend to true, but in this case\n        // we default to false and (by default) show a colorbar instead\n        if(traceIn.showlegend !== true) traceOut.showlegend = false;\n        traceOut._dfltShowLegend = false;\n\n        colorscaleDefaults(\n            traceIn, traceOut, layout, coerce, {prefix: '', cLetter: 'z'}\n        );\n    }\n\n    coerce('line.smoothing');\n\n    handleLabelDefaults(coerce, layout, lineColor, opts);\n};\n\n},{\"../../components/colorscale/defaults\":580,\"./label_defaults\":932}],939:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar heatmapAttrs = _dereq_('../heatmap/attributes');\nvar contourAttrs = _dereq_('../contour/attributes');\nvar contourContourAttrs = contourAttrs.contours;\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar scatterLineAttrs = scatterAttrs.line;\n\nmodule.exports = extendFlat({\n    carpet: {\n        valType: 'string',\n        \n        editType: 'calc',\n        \n    },\n    z: heatmapAttrs.z,\n    a: heatmapAttrs.x,\n    a0: heatmapAttrs.x0,\n    da: heatmapAttrs.dx,\n    b: heatmapAttrs.y,\n    b0: heatmapAttrs.y0,\n    db: heatmapAttrs.dy,\n    text: heatmapAttrs.text,\n    transpose: heatmapAttrs.transpose,\n    atype: heatmapAttrs.xtype,\n    btype: heatmapAttrs.ytype,\n\n    fillcolor: contourAttrs.fillcolor,\n\n    autocontour: contourAttrs.autocontour,\n    ncontours: contourAttrs.ncontours,\n\n    contours: {\n        type: contourContourAttrs.type,\n        start: contourContourAttrs.start,\n        end: contourContourAttrs.end,\n        size: contourContourAttrs.size,\n        coloring: {\n            // from contourAttrs.contours.coloring but no 'heatmap' option\n            valType: 'enumerated',\n            values: ['fill', 'lines', 'none'],\n            dflt: 'fill',\n            \n            editType: 'calc',\n            \n        },\n        showlines: contourContourAttrs.showlines,\n        showlabels: contourContourAttrs.showlabels,\n        labelfont: contourContourAttrs.labelfont,\n        labelformat: contourContourAttrs.labelformat,\n        operation: contourContourAttrs.operation,\n        value: contourContourAttrs.value,\n        editType: 'calc',\n        impliedEdits: {'autocontour': false}\n    },\n\n    line: {\n        color: extendFlat({}, scatterLineAttrs.color, {\n            \n        }),\n        width: scatterLineAttrs.width,\n        dash: scatterLineAttrs.dash,\n        smoothing: extendFlat({}, scatterLineAttrs.smoothing, {\n            \n        }),\n        editType: 'plot'\n    },\n    transforms: undefined\n},\n\n    colorscaleAttrs('', {\n        cLetter: 'z',\n        autoColorDflt: false\n    }),\n    { colorbar: colorbarAttrs }\n);\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../contour/attributes\":917,\"../heatmap/attributes\":946,\"../scatter/attributes\":1044}],940:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorscaleCalc = _dereq_('../../components/colorscale/calc');\nvar isArray1D = _dereq_('../../lib').isArray1D;\n\nvar convertColumnData = _dereq_('../heatmap/convert_column_xyz');\nvar clean2dArray = _dereq_('../heatmap/clean_2d_array');\nvar maxRowLength = _dereq_('../heatmap/max_row_length');\nvar interp2d = _dereq_('../heatmap/interp2d');\nvar findEmpties = _dereq_('../heatmap/find_empties');\nvar makeBoundArray = _dereq_('../heatmap/make_bound_array');\nvar supplyDefaults = _dereq_('./defaults');\nvar lookupCarpet = _dereq_('../carpet/lookup_carpetid');\nvar setContours = _dereq_('../contour/set_contours');\n\n// most is the same as heatmap calc, then adjust it\n// though a few things inside heatmap calc still look for\n// contour maps, because the makeBoundArray calls are too entangled\nmodule.exports = function calc(gd, trace) {\n    var carpet = trace._carpetTrace = lookupCarpet(gd, trace);\n    if(!carpet || !carpet.visible || carpet.visible === 'legendonly') return;\n\n    if(!trace.a || !trace.b) {\n        // Look up the original incoming carpet data:\n        var carpetdata = gd.data[carpet.index];\n\n        // Look up the incoming trace data, *except* perform a shallow\n        // copy so that we're not actually modifying it when we use it\n        // to supply defaults:\n        var tracedata = gd.data[trace.index];\n        // var tracedata = extendFlat({}, gd.data[trace.index]);\n\n        // If the data is not specified\n        if(!tracedata.a) tracedata.a = carpetdata.a;\n        if(!tracedata.b) tracedata.b = carpetdata.b;\n\n        supplyDefaults(tracedata, trace, trace._defaultColor, gd._fullLayout);\n    }\n\n    var cd = heatmappishCalc(gd, trace);\n\n    setContours(trace);\n\n    return cd;\n};\n\nfunction heatmappishCalc(gd, trace) {\n    // prepare the raw data\n    // run makeCalcdata on x and y even for heatmaps, in case of category mappings\n    var carpet = trace._carpetTrace;\n    var aax = carpet.aaxis;\n    var bax = carpet.baxis;\n    var a,\n        a0,\n        da,\n        b,\n        b0,\n        db,\n        z;\n\n    // cancel minimum tick spacings (only applies to bars and boxes)\n    aax._minDtick = 0;\n    bax._minDtick = 0;\n\n    if(isArray1D(trace.z)) convertColumnData(trace, aax, bax, 'a', 'b', ['z']);\n    a = trace._a = trace._a || trace.a;\n    b = trace._b = trace._b || trace.b;\n\n    a = a ? aax.makeCalcdata(trace, '_a') : [];\n    b = b ? bax.makeCalcdata(trace, '_b') : [];\n    a0 = trace.a0 || 0;\n    da = trace.da || 1;\n    b0 = trace.b0 || 0;\n    db = trace.db || 1;\n\n    z = trace._z = clean2dArray(trace._z || trace.z, trace.transpose);\n\n    trace._emptypoints = findEmpties(z);\n    interp2d(z, trace._emptypoints);\n\n    // create arrays of brick boundaries, to be used by autorange and heatmap.plot\n    var xlen = maxRowLength(z),\n        xIn = trace.xtype === 'scaled' ? '' : a,\n        xArray = makeBoundArray(trace, xIn, a0, da, xlen, aax),\n        yIn = trace.ytype === 'scaled' ? '' : b,\n        yArray = makeBoundArray(trace, yIn, b0, db, z.length, bax);\n\n    var cd0 = {\n        a: xArray,\n        b: yArray,\n        z: z,\n    };\n\n    if(trace.contours.type === 'levels' && trace.contours.coloring !== 'none') {\n        // auto-z and autocolorscale if applicable\n        colorscaleCalc(trace, z, '', 'z');\n    }\n\n    return [cd0];\n}\n\n},{\"../../components/colorscale/calc\":578,\"../../lib\":696,\"../carpet/lookup_carpetid\":895,\"../contour/set_contours\":936,\"../heatmap/clean_2d_array\":948,\"../heatmap/convert_column_xyz\":950,\"../heatmap/find_empties\":952,\"../heatmap/interp2d\":955,\"../heatmap/make_bound_array\":956,\"../heatmap/max_row_length\":957,\"./defaults\":941}],941:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar handleXYZDefaults = _dereq_('../heatmap/xyz_defaults');\nvar attributes = _dereq_('./attributes');\nvar handleConstraintDefaults = _dereq_('../contour/constraint_defaults');\nvar handleContoursDefaults = _dereq_('../contour/contours_defaults');\nvar handleStyleDefaults = _dereq_('../contour/style_defaults');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    function coerce2(attr) {\n        return Lib.coerce2(traceIn, traceOut, attributes, attr);\n    }\n\n    coerce('carpet');\n\n    // If either a or b is not present, then it's not a valid trace *unless* the carpet\n    // axis has the a or b values we're looking for. So if these are not found, just defer\n    // that decision until the calc step.\n    //\n    // NB: the calc step will modify the original data input by assigning whichever of\n    // a or b are missing. This is necessary because panning goes right from supplyDefaults\n    // to plot (skipping calc). That means on subsequent updates, this *will* need to be\n    // able to find a and b.\n    //\n    // The long-term proper fix is that this should perhaps use underscored attributes to\n    // at least modify the user input to a slightly lesser extent. Fully removing the\n    // input mutation is challenging. The underscore approach is not currently taken since\n    // it requires modification to all of the functions below that expect the coerced\n    // attribute name to match the property name -- except '_a' !== 'a' so that is not\n    // straightforward.\n    if(traceIn.a && traceIn.b) {\n\n        var len = handleXYZDefaults(traceIn, traceOut, coerce, layout, 'a', 'b');\n\n        if(!len) {\n            traceOut.visible = false;\n            return;\n        }\n\n        coerce('text');\n        var isConstraint = (coerce('contours.type') === 'constraint');\n\n        if(isConstraint) {\n            handleConstraintDefaults(traceIn, traceOut, coerce, layout, defaultColor, {hasHover: false});\n        } else {\n            handleContoursDefaults(traceIn, traceOut, coerce, coerce2);\n            handleStyleDefaults(traceIn, traceOut, coerce, layout, {hasHover: false});\n        }\n    } else {\n        traceOut._defaultColor = defaultColor;\n        traceOut._length = null;\n    }\n};\n\n},{\"../../lib\":696,\"../contour/constraint_defaults\":922,\"../contour/contours_defaults\":924,\"../contour/style_defaults\":938,\"../heatmap/xyz_defaults\":961,\"./attributes\":939}],942:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar ContourCarpet = {};\n\nContourCarpet.attributes = _dereq_('./attributes');\nContourCarpet.supplyDefaults = _dereq_('./defaults');\nContourCarpet.colorbar = _dereq_('../contour/colorbar');\nContourCarpet.calc = _dereq_('./calc');\nContourCarpet.plot = _dereq_('./plot');\nContourCarpet.style = _dereq_('../contour/style');\n\nContourCarpet.moduleType = 'trace';\nContourCarpet.name = 'contourcarpet';\nContourCarpet.basePlotModule = _dereq_('../../plots/cartesian');\nContourCarpet.categories = ['cartesian', 'svg', 'carpet', 'contour', 'symbols', 'showLegend', 'hasLines', 'carpetDependent'];\nContourCarpet.meta = {\n    \n    \n};\n\nmodule.exports = ContourCarpet;\n\n},{\"../../plots/cartesian\":757,\"../contour/colorbar\":920,\"../contour/style\":937,\"./attributes\":939,\"./calc\":940,\"./defaults\":941,\"./plot\":945}],943:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Drawing = _dereq_('../../components/drawing');\nvar axisAlignedLine = _dereq_('../carpet/axis_aligned_line');\nvar Lib = _dereq_('../../lib');\n\nmodule.exports = function joinAllPaths(trace, pi, perimeter, ab2p, carpet, carpetcd, xa, ya) {\n    var i;\n    var fullpath = '';\n\n    var startsleft = pi.edgepaths.map(function(v, i) { return i; });\n    var newloop = true;\n    var endpt, newendpt, cnt, nexti, possiblei, addpath;\n\n    var atol = Math.abs(perimeter[0][0] - perimeter[2][0]) * 1e-4;\n    var btol = Math.abs(perimeter[0][1] - perimeter[2][1]) * 1e-4;\n\n    function istop(pt) { return Math.abs(pt[1] - perimeter[0][1]) < btol; }\n    function isbottom(pt) { return Math.abs(pt[1] - perimeter[2][1]) < btol; }\n    function isleft(pt) { return Math.abs(pt[0] - perimeter[0][0]) < atol; }\n    function isright(pt) { return Math.abs(pt[0] - perimeter[2][0]) < atol; }\n\n    function pathto(pt0, pt1) {\n        var i, j, segments, axis;\n        var path = '';\n\n        if((istop(pt0) && !isright(pt0)) || (isbottom(pt0) && !isleft(pt0))) {\n            axis = carpet.aaxis;\n            segments = axisAlignedLine(carpet, carpetcd, [pt0[0], pt1[0]], 0.5 * (pt0[1] + pt1[1]));\n        } else {\n            axis = carpet.baxis;\n            segments = axisAlignedLine(carpet, carpetcd, 0.5 * (pt0[0] + pt1[0]), [pt0[1], pt1[1]]);\n        }\n\n        for(i = 1; i < segments.length; i++) {\n            path += axis.smoothing ? 'C' : 'L';\n            for(j = 0; j < segments[i].length; j++) {\n                var pt = segments[i][j];\n                path += [xa.c2p(pt[0]), ya.c2p(pt[1])] + ' ';\n            }\n        }\n\n        return path;\n    }\n\n    i = 0;\n    endpt = null;\n    while(startsleft.length) {\n        var startpt = pi.edgepaths[i][0];\n\n        if(endpt) {\n            fullpath += pathto(endpt, startpt);\n        }\n\n        addpath = Drawing.smoothopen(pi.edgepaths[i].map(ab2p), pi.smoothing);\n        fullpath += newloop ? addpath : addpath.replace(/^M/, 'L');\n        startsleft.splice(startsleft.indexOf(i), 1);\n        endpt = pi.edgepaths[i][pi.edgepaths[i].length - 1];\n        nexti = -1;\n\n        // now loop through sides, moving our endpoint until we find a new start\n        for(cnt = 0; cnt < 4; cnt++) { // just to prevent infinite loops\n            if(!endpt) {\n                Lib.log('Missing end?', i, pi);\n                break;\n            }\n\n            if(istop(endpt) && !isright(endpt)) {\n                newendpt = perimeter[1]; // left top ---> right top\n            } else if(isleft(endpt)) {\n                newendpt = perimeter[0]; // left bottom ---> left top\n            } else if(isbottom(endpt)) {\n                newendpt = perimeter[3]; // right bottom\n            } else if(isright(endpt)) {\n                newendpt = perimeter[2]; // left bottom\n            }\n\n            for(possiblei = 0; possiblei < pi.edgepaths.length; possiblei++) {\n                var ptNew = pi.edgepaths[possiblei][0];\n                // is ptNew on the (horz. or vert.) segment from endpt to newendpt?\n                if(Math.abs(endpt[0] - newendpt[0]) < atol) {\n                    if(Math.abs(endpt[0] - ptNew[0]) < atol && (ptNew[1] - endpt[1]) * (newendpt[1] - ptNew[1]) >= 0) {\n                        newendpt = ptNew;\n                        nexti = possiblei;\n                    }\n                } else if(Math.abs(endpt[1] - newendpt[1]) < btol) {\n                    if(Math.abs(endpt[1] - ptNew[1]) < btol && (ptNew[0] - endpt[0]) * (newendpt[0] - ptNew[0]) >= 0) {\n                        newendpt = ptNew;\n                        nexti = possiblei;\n                    }\n                } else {\n                    Lib.log('endpt to newendpt is not vert. or horz.', endpt, newendpt, ptNew);\n                }\n            }\n\n            if(nexti >= 0) break;\n            fullpath += pathto(endpt, newendpt);\n            endpt = newendpt;\n        }\n\n        if(nexti === pi.edgepaths.length) {\n            Lib.log('unclosed perimeter path');\n            break;\n        }\n\n        i = nexti;\n\n        // if we closed back on a loop we already included,\n        // close it and start a new loop\n        newloop = (startsleft.indexOf(i) === -1);\n        if(newloop) {\n            i = startsleft[0];\n            fullpath += pathto(endpt, newendpt) + 'Z';\n            endpt = null;\n        }\n    }\n\n    // finally add the interior paths\n    for(i = 0; i < pi.paths.length; i++) {\n        fullpath += Drawing.smoothclosed(pi.paths[i].map(ab2p), pi.smoothing);\n    }\n\n    return fullpath;\n};\n\n},{\"../../components/drawing\":595,\"../../lib\":696,\"../carpet/axis_aligned_line\":879}],944:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function mapPathinfo(pathinfo, map) {\n    var i, j, k, pi, pedgepaths, ppaths, pedgepath, ppath, path;\n\n    for(i = 0; i < pathinfo.length; i++) {\n        pi = pathinfo[i];\n        pedgepaths = pi.pedgepaths = [];\n        ppaths = pi.ppaths = [];\n        for(j = 0; j < pi.edgepaths.length; j++) {\n            path = pi.edgepaths[j];\n            pedgepath = [];\n            for(k = 0; k < path.length; k++) {\n                pedgepath[k] = map(path[k]);\n            }\n            pedgepaths.push(pedgepath);\n        }\n        for(j = 0; j < pi.paths.length; j++) {\n            path = pi.paths[j];\n            ppath = [];\n            for(k = 0; k < path.length; k++) {\n                ppath[k] = map(path[k]);\n            }\n            ppaths.push(ppath);\n        }\n    }\n};\n\n},{}],945:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar map1dArray = _dereq_('../carpet/map_1d_array');\nvar makepath = _dereq_('../carpet/makepath');\nvar Drawing = _dereq_('../../components/drawing');\nvar Lib = _dereq_('../../lib');\n\nvar makeCrossings = _dereq_('../contour/make_crossings');\nvar findAllPaths = _dereq_('../contour/find_all_paths');\nvar contourPlot = _dereq_('../contour/plot');\nvar constants = _dereq_('../contour/constants');\nvar convertToConstraints = _dereq_('../contour/convert_to_constraints');\nvar joinAllPaths = _dereq_('./join_all_paths');\nvar emptyPathinfo = _dereq_('../contour/empty_pathinfo');\nvar mapPathinfo = _dereq_('./map_pathinfo');\nvar lookupCarpet = _dereq_('../carpet/lookup_carpetid');\nvar closeBoundaries = _dereq_('../contour/close_boundaries');\n\nmodule.exports = function plot(gd, plotinfo, cdcontours, contourcarpetLayer) {\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n\n    Lib.makeTraceGroups(contourcarpetLayer, cdcontours, 'contour').each(function(cd) {\n        var plotGroup = d3.select(this);\n        var cd0 = cd[0];\n        var trace = cd0.trace;\n\n        var carpet = trace._carpetTrace = lookupCarpet(gd, trace);\n        var carpetcd = gd.calcdata[carpet.index][0];\n\n        if(!carpet.visible || carpet.visible === 'legendonly') return;\n\n        var a = cd0.a;\n        var b = cd0.b;\n        var contours = trace.contours;\n        var pathinfo = emptyPathinfo(contours, plotinfo, cd0);\n        var isConstraint = contours.type === 'constraint';\n        var operation = contours._operation;\n        var coloring = isConstraint ? (operation === '=' ? 'lines' : 'fill') : contours.coloring;\n\n        // Map [a, b] (data) --> [i, j] (pixels)\n        function ab2p(ab) {\n            var pt = carpet.ab2xy(ab[0], ab[1], true);\n            return [xa.c2p(pt[0]), ya.c2p(pt[1])];\n        }\n\n        // Define the perimeter in a/b coordinates:\n        var perimeter = [\n            [a[0], b[b.length - 1]],\n            [a[a.length - 1], b[b.length - 1]],\n            [a[a.length - 1], b[0]],\n            [a[0], b[0]]\n        ];\n\n        // Extract the contour levels:\n        makeCrossings(pathinfo);\n        var atol = (a[a.length - 1] - a[0]) * 1e-8;\n        var btol = (b[b.length - 1] - b[0]) * 1e-8;\n        findAllPaths(pathinfo, atol, btol);\n\n        // Constraints might need to be draw inverted, which is not something contours\n        // handle by default since they're assumed fully opaque so that they can be\n        // drawn overlapping. This function flips the paths as necessary so that they're\n        // drawn correctly.\n        //\n        // TODO: Perhaps this should be generalized and *all* paths should be drawn as\n        // closed regions so that translucent contour levels would be valid.\n        // See: https://github.com/plotly/plotly.js/issues/1356\n        var fillPathinfo = pathinfo;\n        if(contours.type === 'constraint') {\n            fillPathinfo = convertToConstraints(pathinfo, operation);\n            closeBoundaries(fillPathinfo, operation, perimeter, trace);\n        }\n\n        // Map the paths in a/b coordinates to pixel coordinates:\n        mapPathinfo(pathinfo, ab2p);\n\n        // draw everything\n\n        // Compute the boundary path\n        var seg, xp, yp, i;\n        var segs = [];\n        for(i = carpetcd.clipsegments.length - 1; i >= 0; i--) {\n            seg = carpetcd.clipsegments[i];\n            xp = map1dArray([], seg.x, xa.c2p);\n            yp = map1dArray([], seg.y, ya.c2p);\n            xp.reverse();\n            yp.reverse();\n            segs.push(makepath(xp, yp, seg.bicubic));\n        }\n\n        var boundaryPath = 'M' + segs.join('L') + 'Z';\n\n        // Draw the baseline background fill that fills in the space behind any other\n        // contour levels:\n        makeBackground(plotGroup, carpetcd.clipsegments, xa, ya, isConstraint, coloring);\n\n        // Draw the specific contour fills. As a simplification, they're assumed to be\n        // fully opaque so that it's easy to draw them simply overlapping. The alternative\n        // would be to flip adjacent paths and draw closed paths for each level instead.\n        makeFills(trace, plotGroup, xa, ya, fillPathinfo, perimeter, ab2p, carpet, carpetcd, coloring, boundaryPath);\n\n        // Draw contour lines:\n        makeLinesAndLabels(plotGroup, pathinfo, gd, cd0, contours, plotinfo, carpet);\n\n        // Clip the boundary of the plot\n        Drawing.setClipUrl(plotGroup, carpet._clipPathId);\n    });\n};\n\nfunction makeLinesAndLabels(plotgroup, pathinfo, gd, cd0, contours, plotinfo, carpet) {\n    var lineContainer = Lib.ensureSingle(plotgroup, 'g', 'contourlines');\n    var showLines = contours.showlines !== false;\n    var showLabels = contours.showlabels;\n    var clipLinesForLabels = showLines && showLabels;\n\n    // Even if we're not going to show lines, we need to create them\n    // if we're showing labels, because the fill paths include the perimeter\n    // so can't be used to position the labels correctly.\n    // In this case we'll remove the lines after making the labels.\n    var linegroup = contourPlot.createLines(lineContainer, showLines || showLabels, pathinfo);\n\n    var lineClip = contourPlot.createLineClip(lineContainer, clipLinesForLabels,\n        gd._fullLayout._defs, cd0.trace.uid);\n\n    var labelGroup = plotgroup.selectAll('g.contourlabels')\n        .data(showLabels ? [0] : []);\n\n    labelGroup.exit().remove();\n\n    labelGroup.enter().append('g')\n        .classed('contourlabels', true);\n\n    if(showLabels) {\n        var xa = plotinfo.xaxis;\n        var ya = plotinfo.yaxis;\n        var xLen = xa._length;\n        var yLen = ya._length;\n        // for simplicity use the xy box for label clipping outline.\n        var labelClipPathData = [[\n            [0, 0],\n            [xLen, 0],\n            [xLen, yLen],\n            [0, yLen]\n        ]];\n\n\n        var labelData = [];\n\n        // invalidate the getTextLocation cache in case paths changed\n        Lib.clearLocationCache();\n\n        var contourFormat = contourPlot.labelFormatter(contours, cd0.t.cb, gd._fullLayout);\n\n        var dummyText = Drawing.tester.append('text')\n            .attr('data-notex', 1)\n            .call(Drawing.font, contours.labelfont);\n\n        // use `bounds` only to keep labels away from the x/y boundaries\n        // `constrainToCarpet` below ensures labels don't go off the\n        // carpet edges\n        var bounds = {\n            left: 0,\n            right: xLen,\n            center: xLen / 2,\n            top: 0,\n            bottom: yLen,\n            middle: yLen / 2\n        };\n\n        var plotDiagonal = Math.sqrt(xLen * xLen + yLen * yLen);\n\n        // the path length to use to scale the number of labels to draw:\n        var normLength = constants.LABELDISTANCE * plotDiagonal /\n            Math.max(1, pathinfo.length / constants.LABELINCREASE);\n\n        linegroup.each(function(d) {\n            var textOpts = contourPlot.calcTextOpts(d.level, contourFormat, dummyText, gd);\n\n            d3.select(this).selectAll('path').each(function(pathData) {\n                var path = this;\n                var pathBounds = Lib.getVisibleSegment(path, bounds, textOpts.height / 2);\n                if(!pathBounds) return;\n\n                constrainToCarpet(path, pathData, d, pathBounds, carpet, textOpts.height);\n\n                if(pathBounds.len < (textOpts.width + textOpts.height) * constants.LABELMIN) return;\n\n                var maxLabels = Math.min(Math.ceil(pathBounds.len / normLength),\n                    constants.LABELMAX);\n\n                for(var i = 0; i < maxLabels; i++) {\n                    var loc = contourPlot.findBestTextLocation(path, pathBounds, textOpts,\n                        labelData, bounds);\n\n                    if(!loc) break;\n\n                    contourPlot.addLabelData(loc, textOpts, labelData, labelClipPathData);\n                }\n            });\n        });\n\n        dummyText.remove();\n\n        contourPlot.drawLabels(labelGroup, labelData, gd, lineClip,\n            clipLinesForLabels ? labelClipPathData : null);\n    }\n\n    if(showLabels && !showLines) linegroup.remove();\n}\n\n// figure out if this path goes off the edge of the carpet\n// and shorten the part we call visible to keep labels away from the edge\nfunction constrainToCarpet(path, pathData, levelData, pathBounds, carpet, textHeight) {\n    var pathABData;\n    for(var i = 0; i < levelData.pedgepaths.length; i++) {\n        if(pathData === levelData.pedgepaths[i]) {\n            pathABData = levelData.edgepaths[i];\n        }\n    }\n    if(!pathABData) return;\n\n    var aMin = carpet.a[0];\n    var aMax = carpet.a[carpet.a.length - 1];\n    var bMin = carpet.b[0];\n    var bMax = carpet.b[carpet.b.length - 1];\n\n    function getOffset(abPt, pathVector) {\n        var offset = 0;\n        var edgeVector;\n        var dAB = 0.1;\n        if(Math.abs(abPt[0] - aMin) < dAB || Math.abs(abPt[0] - aMax) < dAB) {\n            edgeVector = normalizeVector(carpet.dxydb_rough(abPt[0], abPt[1], dAB));\n            offset = Math.max(offset, textHeight * vectorTan(pathVector, edgeVector) / 2);\n        }\n\n        if(Math.abs(abPt[1] - bMin) < dAB || Math.abs(abPt[1] - bMax) < dAB) {\n            edgeVector = normalizeVector(carpet.dxyda_rough(abPt[0], abPt[1], dAB));\n            offset = Math.max(offset, textHeight * vectorTan(pathVector, edgeVector) / 2);\n        }\n        return offset;\n    }\n\n    var startVector = getUnitVector(path, 0, 1);\n    var endVector = getUnitVector(path, pathBounds.total, pathBounds.total - 1);\n    var minStart = getOffset(pathABData[0], startVector);\n    var maxEnd = pathBounds.total - getOffset(pathABData[pathABData.length - 1], endVector);\n\n    if(pathBounds.min < minStart) pathBounds.min = minStart;\n    if(pathBounds.max > maxEnd) pathBounds.max = maxEnd;\n\n    pathBounds.len = pathBounds.max - pathBounds.min;\n}\n\nfunction getUnitVector(path, p0, p1) {\n    var pt0 = path.getPointAtLength(p0);\n    var pt1 = path.getPointAtLength(p1);\n    var dx = pt1.x - pt0.x;\n    var dy = pt1.y - pt0.y;\n    var len = Math.sqrt(dx * dx + dy * dy);\n    return [dx / len, dy / len];\n}\n\nfunction normalizeVector(v) {\n    var len = Math.sqrt(v[0] * v[0] + v[1] * v[1]);\n    return [v[0] / len, v[1] / len];\n}\n\nfunction vectorTan(v0, v1) {\n    var cos = Math.abs(v0[0] * v1[0] + v0[1] * v1[1]);\n    var sin = Math.sqrt(1 - cos * cos);\n    return sin / cos;\n}\n\nfunction makeBackground(plotgroup, clipsegments, xaxis, yaxis, isConstraint, coloring) {\n    var seg, xp, yp, i;\n    var bggroup = Lib.ensureSingle(plotgroup, 'g', 'contourbg');\n\n    var bgfill = bggroup.selectAll('path')\n        .data((coloring === 'fill' && !isConstraint) ? [0] : []);\n    bgfill.enter().append('path');\n    bgfill.exit().remove();\n\n    var segs = [];\n    for(i = 0; i < clipsegments.length; i++) {\n        seg = clipsegments[i];\n        xp = map1dArray([], seg.x, xaxis.c2p);\n        yp = map1dArray([], seg.y, yaxis.c2p);\n        segs.push(makepath(xp, yp, seg.bicubic));\n    }\n\n    bgfill\n        .attr('d', 'M' + segs.join('L') + 'Z')\n        .style('stroke', 'none');\n}\n\nfunction makeFills(trace, plotgroup, xa, ya, pathinfo, perimeter, ab2p, carpet, carpetcd, coloring, boundaryPath) {\n    var fillgroup = Lib.ensureSingle(plotgroup, 'g', 'contourfill');\n\n    var fillitems = fillgroup.selectAll('path')\n        .data(coloring === 'fill' ? pathinfo : []);\n    fillitems.enter().append('path');\n    fillitems.exit().remove();\n    fillitems.each(function(pi) {\n        // join all paths for this level together into a single path\n        // first follow clockwise around the perimeter to close any open paths\n        // if the whole perimeter is above this level, start with a path\n        // enclosing the whole thing. With all that, the parity should mean\n        // that we always fill everything above the contour, nothing below\n        var fullpath = joinAllPaths(trace, pi, perimeter, ab2p, carpet, carpetcd, xa, ya);\n\n        if(pi.prefixBoundary) {\n            fullpath = boundaryPath + fullpath;\n        }\n\n        if(!fullpath) {\n            d3.select(this).remove();\n        } else {\n            d3.select(this)\n                .attr('d', fullpath)\n                .style('stroke', 'none');\n        }\n    });\n}\n\n},{\"../../components/drawing\":595,\"../../lib\":696,\"../carpet/lookup_carpetid\":895,\"../carpet/makepath\":896,\"../carpet/map_1d_array\":897,\"../contour/close_boundaries\":919,\"../contour/constants\":921,\"../contour/convert_to_constraints\":925,\"../contour/empty_pathinfo\":927,\"../contour/find_all_paths\":929,\"../contour/make_crossings\":934,\"../contour/plot\":935,\"./join_all_paths\":943,\"./map_pathinfo\":944,\"d3\":148}],946:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nmodule.exports = extendFlat({\n    z: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    x: extendFlat({}, scatterAttrs.x, {impliedEdits: {xtype: 'array'}}),\n    x0: extendFlat({}, scatterAttrs.x0, {impliedEdits: {xtype: 'scaled'}}),\n    dx: extendFlat({}, scatterAttrs.dx, {impliedEdits: {xtype: 'scaled'}}),\n    y: extendFlat({}, scatterAttrs.y, {impliedEdits: {ytype: 'array'}}),\n    y0: extendFlat({}, scatterAttrs.y0, {impliedEdits: {ytype: 'scaled'}}),\n    dy: extendFlat({}, scatterAttrs.dy, {impliedEdits: {ytype: 'scaled'}}),\n\n    text: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    transpose: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'calc',\n        \n    },\n    xtype: {\n        valType: 'enumerated',\n        values: ['array', 'scaled'],\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    ytype: {\n        valType: 'enumerated',\n        values: ['array', 'scaled'],\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    zsmooth: {\n        valType: 'enumerated',\n        values: ['fast', 'best', false],\n        dflt: false,\n        \n        editType: 'calc',\n        \n    },\n    connectgaps: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'calc',\n        \n    },\n    xgap: {\n        valType: 'number',\n        dflt: 0,\n        min: 0,\n        \n        editType: 'plot',\n        \n    },\n    ygap: {\n        valType: 'number',\n        dflt: 0,\n        min: 0,\n        \n        editType: 'plot',\n        \n    },\n    zhoverformat: {\n        valType: 'string',\n        dflt: '',\n        \n        editType: 'none',\n        \n    },\n    transforms: undefined\n},\n    colorscaleAttrs('', {\n        cLetter: 'z',\n        autoColorDflt: false\n    }),\n    { colorbar: colorbarAttrs }\n);\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../scatter/attributes\":1044}],947:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nvar histogram2dCalc = _dereq_('../histogram2d/calc');\nvar colorscaleCalc = _dereq_('../../components/colorscale/calc');\nvar convertColumnData = _dereq_('./convert_column_xyz');\nvar maxRowLength = _dereq_('./max_row_length');\nvar clean2dArray = _dereq_('./clean_2d_array');\nvar interp2d = _dereq_('./interp2d');\nvar findEmpties = _dereq_('./find_empties');\nvar makeBoundArray = _dereq_('./make_bound_array');\n\n\nmodule.exports = function calc(gd, trace) {\n    // prepare the raw data\n    // run makeCalcdata on x and y even for heatmaps, in case of category mappings\n    var xa = Axes.getFromId(gd, trace.xaxis || 'x'),\n        ya = Axes.getFromId(gd, trace.yaxis || 'y'),\n        isContour = Registry.traceIs(trace, 'contour'),\n        isHist = Registry.traceIs(trace, 'histogram'),\n        isGL2D = Registry.traceIs(trace, 'gl2d'),\n        zsmooth = isContour ? 'best' : trace.zsmooth,\n        x,\n        x0,\n        dx,\n        y,\n        y0,\n        dy,\n        z,\n        i,\n        binned;\n\n    // cancel minimum tick spacings (only applies to bars and boxes)\n    xa._minDtick = 0;\n    ya._minDtick = 0;\n\n    if(isHist) {\n        binned = histogram2dCalc(gd, trace);\n        x = binned.x;\n        x0 = binned.x0;\n        dx = binned.dx;\n        y = binned.y;\n        y0 = binned.y0;\n        dy = binned.dy;\n        z = binned.z;\n    }\n    else {\n        var zIn = trace.z;\n        if(Lib.isArray1D(zIn)) {\n            convertColumnData(trace, xa, ya, 'x', 'y', ['z']);\n            x = trace._x;\n            y = trace._y;\n            zIn = trace._z;\n        } else {\n            x = trace.x ? xa.makeCalcdata(trace, 'x') : [];\n            y = trace.y ? ya.makeCalcdata(trace, 'y') : [];\n        }\n\n        x0 = trace.x0 || 0;\n        dx = trace.dx || 1;\n        y0 = trace.y0 || 0;\n        dy = trace.dy || 1;\n\n        z = clean2dArray(zIn, trace.transpose);\n\n        if(isContour || trace.connectgaps) {\n            trace._emptypoints = findEmpties(z);\n            interp2d(z, trace._emptypoints);\n        }\n    }\n\n    function noZsmooth(msg) {\n        zsmooth = trace._input.zsmooth = trace.zsmooth = false;\n        Lib.warn('cannot use zsmooth: \"fast\": ' + msg);\n    }\n\n    // check whether we really can smooth (ie all boxes are about the same size)\n    if(zsmooth === 'fast') {\n        if(xa.type === 'log' || ya.type === 'log') {\n            noZsmooth('log axis found');\n        }\n        else if(!isHist) {\n            if(x.length) {\n                var avgdx = (x[x.length - 1] - x[0]) / (x.length - 1),\n                    maxErrX = Math.abs(avgdx / 100);\n                for(i = 0; i < x.length - 1; i++) {\n                    if(Math.abs(x[i + 1] - x[i] - avgdx) > maxErrX) {\n                        noZsmooth('x scale is not linear');\n                        break;\n                    }\n                }\n            }\n            if(y.length && zsmooth === 'fast') {\n                var avgdy = (y[y.length - 1] - y[0]) / (y.length - 1),\n                    maxErrY = Math.abs(avgdy / 100);\n                for(i = 0; i < y.length - 1; i++) {\n                    if(Math.abs(y[i + 1] - y[i] - avgdy) > maxErrY) {\n                        noZsmooth('y scale is not linear');\n                        break;\n                    }\n                }\n            }\n        }\n    }\n\n    // create arrays of brick boundaries, to be used by autorange and heatmap.plot\n    var xlen = maxRowLength(z);\n    var xIn = trace.xtype === 'scaled' ? '' : x;\n    var xArray = makeBoundArray(trace, xIn, x0, dx, xlen, xa);\n    var yIn = trace.ytype === 'scaled' ? '' : y;\n    var yArray = makeBoundArray(trace, yIn, y0, dy, z.length, ya);\n\n    // handled in gl2d convert step\n    if(!isGL2D) {\n        trace._extremes[xa._id] = Axes.findExtremes(xa, xArray);\n        trace._extremes[ya._id] = Axes.findExtremes(ya, yArray);\n    }\n\n    var cd0 = {\n        x: xArray,\n        y: yArray,\n        z: z,\n        text: trace._text || trace.text\n    };\n\n    if(xIn && xIn.length === xArray.length - 1) cd0.xCenter = xIn;\n    if(yIn && yIn.length === yArray.length - 1) cd0.yCenter = yIn;\n\n    if(isHist) {\n        cd0.xRanges = binned.xRanges;\n        cd0.yRanges = binned.yRanges;\n        cd0.pts = binned.pts;\n    }\n\n    // auto-z and autocolorscale if applicable\n    if(!isContour || trace.contours.type !== 'constraint') {\n        colorscaleCalc(trace, z, '', 'z');\n    }\n\n    if(isContour && trace.contours && trace.contours.coloring === 'heatmap') {\n        var dummyTrace = {\n            type: trace.type === 'contour' ? 'heatmap' : 'histogram2d',\n            xcalendar: trace.xcalendar,\n            ycalendar: trace.ycalendar\n        };\n        cd0.xfill = makeBoundArray(dummyTrace, xIn, x0, dx, xlen, xa);\n        cd0.yfill = makeBoundArray(dummyTrace, yIn, y0, dy, z.length, ya);\n    }\n\n    return [cd0];\n};\n\n},{\"../../components/colorscale/calc\":578,\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../../registry\":828,\"../histogram2d/calc\":978,\"./clean_2d_array\":948,\"./convert_column_xyz\":950,\"./find_empties\":952,\"./interp2d\":955,\"./make_bound_array\":956,\"./max_row_length\":957}],948:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nmodule.exports = function clean2dArray(zOld, transpose) {\n    var rowlen, collen, getCollen, old2new, i, j;\n\n    function cleanZvalue(v) {\n        if(!isNumeric(v)) return undefined;\n        return +v;\n    }\n\n    if(transpose) {\n        rowlen = 0;\n        for(i = 0; i < zOld.length; i++) rowlen = Math.max(rowlen, zOld[i].length);\n        if(rowlen === 0) return false;\n        getCollen = function(zOld) { return zOld.length; };\n        old2new = function(zOld, i, j) { return zOld[j][i]; };\n    }\n    else {\n        rowlen = zOld.length;\n        getCollen = function(zOld, i) { return zOld[i].length; };\n        old2new = function(zOld, i, j) { return zOld[i][j]; };\n    }\n\n    var zNew = new Array(rowlen);\n\n    for(i = 0; i < rowlen; i++) {\n        collen = getCollen(zOld, i);\n        zNew[i] = new Array(collen);\n        for(j = 0; j < collen; j++) zNew[i][j] = cleanZvalue(old2new(zOld, i, j));\n    }\n\n    return zNew;\n};\n\n},{\"fast-isnumeric\":214}],949:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    min: 'zmin',\n    max: 'zmax'\n};\n\n},{}],950:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nmodule.exports = function convertColumnData(trace, ax1, ax2, var1Name, var2Name, arrayVarNames) {\n    var colLen = trace._length;\n    var col1 = trace[var1Name].slice(0, colLen);\n    var col2 = trace[var2Name].slice(0, colLen);\n    var textCol = trace.text;\n    var hasColumnText = (textCol !== undefined && Lib.isArray1D(textCol));\n    var col1Calendar = trace[var1Name + 'calendar'];\n    var col2Calendar = trace[var2Name + 'calendar'];\n\n    var i, j, arrayVar, newArray, arrayVarName;\n\n    for(i = 0; i < colLen; i++) {\n        col1[i] = ax1.d2c(col1[i], 0, col1Calendar);\n        col2[i] = ax2.d2c(col2[i], 0, col2Calendar);\n    }\n\n    var col1dv = Lib.distinctVals(col1),\n        col1vals = col1dv.vals,\n        col2dv = Lib.distinctVals(col2),\n        col2vals = col2dv.vals,\n        newArrays = [];\n\n    for(i = 0; i < arrayVarNames.length; i++) {\n        newArrays[i] = Lib.init2dArray(col2vals.length, col1vals.length);\n    }\n\n    var i1, i2, text;\n\n    if(hasColumnText) text = Lib.init2dArray(col2vals.length, col1vals.length);\n\n    for(i = 0; i < colLen; i++) {\n        if(col1[i] !== BADNUM && col2[i] !== BADNUM) {\n            i1 = Lib.findBin(col1[i] + col1dv.minDiff / 2, col1vals);\n            i2 = Lib.findBin(col2[i] + col2dv.minDiff / 2, col2vals);\n\n            for(j = 0; j < arrayVarNames.length; j++) {\n                arrayVarName = arrayVarNames[j];\n                arrayVar = trace[arrayVarName];\n                newArray = newArrays[j];\n                newArray[i2][i1] = arrayVar[i];\n            }\n\n            if(hasColumnText) text[i2][i1] = textCol[i];\n        }\n    }\n\n    trace['_' + var1Name] = col1vals;\n    trace['_' + var2Name] = col2vals;\n    for(j = 0; j < arrayVarNames.length; j++) {\n        trace['_' + arrayVarNames[j]] = newArrays[j];\n    }\n    if(hasColumnText) trace._text = text;\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696}],951:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar handleXYZDefaults = _dereq_('./xyz_defaults');\nvar handleStyleDefaults = _dereq_('./style_defaults');\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\nvar attributes = _dereq_('./attributes');\n\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var validData = handleXYZDefaults(traceIn, traceOut, coerce, layout);\n    if(!validData) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('text');\n\n    handleStyleDefaults(traceIn, traceOut, coerce, layout);\n\n    coerce('connectgaps', Lib.isArray1D(traceOut.z) && (traceOut.zsmooth !== false));\n\n    colorscaleDefaults(traceIn, traceOut, layout, coerce, {prefix: '', cLetter: 'z'});\n};\n\n},{\"../../components/colorscale/defaults\":580,\"../../lib\":696,\"./attributes\":946,\"./style_defaults\":960,\"./xyz_defaults\":961}],952:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar maxRowLength = _dereq_('./max_row_length');\n\n/* Return a list of empty points in 2D array z\n * each empty point z[i][j] gives an array [i, j, neighborCount]\n * neighborCount is the count of 4 nearest neighbors that DO exist\n * this is to give us an order of points to evaluate for interpolation.\n * if no neighbors exist, we iteratively look for neighbors that HAVE\n * neighbors, and add a fractional neighborCount\n */\nmodule.exports = function findEmpties(z) {\n    var empties = [],\n        neighborHash = {},\n        noNeighborList = [],\n        nextRow = z[0],\n        row = [],\n        blank = [0, 0, 0],\n        rowLength = maxRowLength(z),\n        prevRow,\n        i,\n        j,\n        thisPt,\n        p,\n        neighborCount,\n        newNeighborHash,\n        foundNewNeighbors;\n\n    for(i = 0; i < z.length; i++) {\n        prevRow = row;\n        row = nextRow;\n        nextRow = z[i + 1] || [];\n        for(j = 0; j < rowLength; j++) {\n            if(row[j] === undefined) {\n                neighborCount = (row[j - 1] !== undefined ? 1 : 0) +\n                    (row[j + 1] !== undefined ? 1 : 0) +\n                    (prevRow[j] !== undefined ? 1 : 0) +\n                    (nextRow[j] !== undefined ? 1 : 0);\n\n                if(neighborCount) {\n                    // for this purpose, don't count off-the-edge points\n                    // as undefined neighbors\n                    if(i === 0) neighborCount++;\n                    if(j === 0) neighborCount++;\n                    if(i === z.length - 1) neighborCount++;\n                    if(j === row.length - 1) neighborCount++;\n\n                    // if all neighbors that could exist do, we don't\n                    // need this for finding farther neighbors\n                    if(neighborCount < 4) {\n                        neighborHash[[i, j]] = [i, j, neighborCount];\n                    }\n\n                    empties.push([i, j, neighborCount]);\n                }\n                else noNeighborList.push([i, j]);\n            }\n        }\n    }\n\n    while(noNeighborList.length) {\n        newNeighborHash = {};\n        foundNewNeighbors = false;\n\n        // look for cells that now have neighbors but didn't before\n        for(p = noNeighborList.length - 1; p >= 0; p--) {\n            thisPt = noNeighborList[p];\n            i = thisPt[0];\n            j = thisPt[1];\n\n            neighborCount = ((neighborHash[[i - 1, j]] || blank)[2] +\n                (neighborHash[[i + 1, j]] || blank)[2] +\n                (neighborHash[[i, j - 1]] || blank)[2] +\n                (neighborHash[[i, j + 1]] || blank)[2]) / 20;\n\n            if(neighborCount) {\n                newNeighborHash[thisPt] = [i, j, neighborCount];\n                noNeighborList.splice(p, 1);\n                foundNewNeighbors = true;\n            }\n        }\n\n        if(!foundNewNeighbors) {\n            throw 'findEmpties iterated with no new neighbors';\n        }\n\n        // put these new cells into the main neighbor list\n        for(thisPt in newNeighborHash) {\n            neighborHash[thisPt] = newNeighborHash[thisPt];\n            empties.push(newNeighborHash[thisPt]);\n        }\n    }\n\n    // sort the full list in descending order of neighbor count\n    return empties.sort(function(a, b) { return b[2] - a[2]; });\n};\n\n},{\"./max_row_length\":957}],953:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Fx = _dereq_('../../components/fx');\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nmodule.exports = function hoverPoints(pointData, xval, yval, hovermode, hoverLayer, contour) {\n    var cd0 = pointData.cd[0];\n    var trace = cd0.trace;\n    var xa = pointData.xa;\n    var ya = pointData.ya;\n    var x = cd0.x;\n    var y = cd0.y;\n    var z = cd0.z;\n    var xc = cd0.xCenter;\n    var yc = cd0.yCenter;\n    var zmask = cd0.zmask;\n    var range = [trace.zmin, trace.zmax];\n    var zhoverformat = trace.zhoverformat;\n    var x2 = x;\n    var y2 = y;\n\n    var xl, yl, nx, ny;\n\n    if(pointData.index !== false) {\n        try {\n            nx = Math.round(pointData.index[1]);\n            ny = Math.round(pointData.index[0]);\n        }\n        catch(e) {\n            Lib.error('Error hovering on heatmap, ' +\n                'pointNumber must be [row,col], found:', pointData.index);\n            return;\n        }\n        if(nx < 0 || nx >= z[0].length || ny < 0 || ny > z.length) {\n            return;\n        }\n    }\n    else if(Fx.inbox(xval - x[0], xval - x[x.length - 1], 0) > 0 ||\n            Fx.inbox(yval - y[0], yval - y[y.length - 1], 0) > 0) {\n        return;\n    }\n    else {\n        if(contour) {\n            var i2;\n            x2 = [2 * x[0] - x[1]];\n\n            for(i2 = 1; i2 < x.length; i2++) {\n                x2.push((x[i2] + x[i2 - 1]) / 2);\n            }\n            x2.push([2 * x[x.length - 1] - x[x.length - 2]]);\n\n            y2 = [2 * y[0] - y[1]];\n            for(i2 = 1; i2 < y.length; i2++) {\n                y2.push((y[i2] + y[i2 - 1]) / 2);\n            }\n            y2.push([2 * y[y.length - 1] - y[y.length - 2]]);\n        }\n        nx = Math.max(0, Math.min(x2.length - 2, Lib.findBin(xval, x2)));\n        ny = Math.max(0, Math.min(y2.length - 2, Lib.findBin(yval, y2)));\n    }\n\n    var x0 = xa.c2p(x[nx]),\n        x1 = xa.c2p(x[nx + 1]),\n        y0 = ya.c2p(y[ny]),\n        y1 = ya.c2p(y[ny + 1]);\n\n    if(contour) {\n        x1 = x0;\n        xl = x[nx];\n        y1 = y0;\n        yl = y[ny];\n    }\n    else {\n        xl = xc ? xc[nx] : ((x[nx] + x[nx + 1]) / 2);\n        yl = yc ? yc[ny] : ((y[ny] + y[ny + 1]) / 2);\n        if(trace.zsmooth) {\n            x0 = x1 = xa.c2p(xl);\n            y0 = y1 = ya.c2p(yl);\n        }\n    }\n\n    var zVal = z[ny][nx];\n    if(zmask && !zmask[ny][nx]) zVal = undefined;\n\n    var text;\n    if(Array.isArray(cd0.text) && Array.isArray(cd0.text[ny])) {\n        text = cd0.text[ny][nx];\n    }\n\n    var zLabel;\n    // dummy axis for formatting the z value\n    var dummyAx = {\n        type: 'linear',\n        range: range,\n        hoverformat: zhoverformat,\n        _separators: xa._separators,\n        _numFormat: xa._numFormat\n    };\n    var zLabelObj = Axes.tickText(dummyAx, zVal, 'hover');\n    zLabel = zLabelObj.text;\n\n    return [Lib.extendFlat(pointData, {\n        index: [ny, nx],\n        // never let a 2D override 1D type as closest point\n        distance: pointData.maxHoverDistance,\n        spikeDistance: pointData.maxSpikeDistance,\n        x0: x0,\n        x1: x1,\n        y0: y0,\n        y1: y1,\n        xLabelVal: xl,\n        yLabelVal: yl,\n        zLabelVal: zVal,\n        zLabel: zLabel,\n        text: text\n    })];\n};\n\n},{\"../../components/fx\":612,\"../../lib\":696,\"../../plots/cartesian/axes\":745}],954:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Heatmap = {};\n\nHeatmap.attributes = _dereq_('./attributes');\nHeatmap.supplyDefaults = _dereq_('./defaults');\nHeatmap.calc = _dereq_('./calc');\nHeatmap.plot = _dereq_('./plot');\nHeatmap.colorbar = _dereq_('./colorbar');\nHeatmap.style = _dereq_('./style');\nHeatmap.hoverPoints = _dereq_('./hover');\n\nHeatmap.moduleType = 'trace';\nHeatmap.name = 'heatmap';\nHeatmap.basePlotModule = _dereq_('../../plots/cartesian');\nHeatmap.categories = ['cartesian', 'svg', '2dMap'];\nHeatmap.meta = {\n    \n};\n\nmodule.exports = Heatmap;\n\n},{\"../../plots/cartesian\":757,\"./attributes\":946,\"./calc\":947,\"./colorbar\":949,\"./defaults\":951,\"./hover\":953,\"./plot\":958,\"./style\":959}],955:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar INTERPTHRESHOLD = 1e-2;\nvar NEIGHBORSHIFTS = [[-1, 0], [1, 0], [0, -1], [0, 1]];\n\nfunction correctionOvershoot(maxFractionalChange) {\n    // start with less overshoot, until we know it's converging,\n    // then ramp up the overshoot for faster convergence\n    return 0.5 - 0.25 * Math.min(1, maxFractionalChange * 0.5);\n}\n\n/*\n * interp2d: Fill in missing data from a 2D array using an iterative\n *   poisson equation solver with zero-derivative BC at edges.\n *   Amazingly, this just amounts to repeatedly averaging all the existing\n *   nearest neighbors, at least if we don't take x/y scaling into account,\n *   which is the right approach here where x and y may not even have the\n *   same units.\n *\n * @param {array of arrays} z\n *      The 2D array to fill in. Will be mutated here. Assumed to already be\n *      cleaned, so all entries are numbers except gaps, which are `undefined`.\n * @param {array of arrays} emptyPoints\n *      Each entry [i, j, neighborCount] for empty points z[i][j] and the number\n *      of neighbors that are *not* missing. Assumed to be sorted from most to\n *      least neighbors, as produced by heatmap/find_empties.\n */\nmodule.exports = function interp2d(z, emptyPoints) {\n    var maxFractionalChange = 1;\n    var i;\n\n    // one pass to fill in a starting value for all the empties\n    iterateInterp2d(z, emptyPoints);\n\n    // we're don't need to iterate lone empties - remove them\n    for(i = 0; i < emptyPoints.length; i++) {\n        if(emptyPoints[i][2] < 4) break;\n    }\n    // but don't remove these points from the original array,\n    // we'll use them for masking, so make a copy.\n    emptyPoints = emptyPoints.slice(i);\n\n    for(i = 0; i < 100 && maxFractionalChange > INTERPTHRESHOLD; i++) {\n        maxFractionalChange = iterateInterp2d(z, emptyPoints,\n            correctionOvershoot(maxFractionalChange));\n    }\n    if(maxFractionalChange > INTERPTHRESHOLD) {\n        Lib.log('interp2d didn\\'t converge quickly', maxFractionalChange);\n    }\n\n    return z;\n};\n\nfunction iterateInterp2d(z, emptyPoints, overshoot) {\n    var maxFractionalChange = 0,\n        thisPt,\n        i,\n        j,\n        p,\n        q,\n        neighborShift,\n        neighborRow,\n        neighborVal,\n        neighborCount,\n        neighborSum,\n        initialVal,\n        minNeighbor,\n        maxNeighbor;\n\n    for(p = 0; p < emptyPoints.length; p++) {\n        thisPt = emptyPoints[p];\n        i = thisPt[0];\n        j = thisPt[1];\n        initialVal = z[i][j];\n        neighborSum = 0;\n        neighborCount = 0;\n\n        for(q = 0; q < 4; q++) {\n            neighborShift = NEIGHBORSHIFTS[q];\n            neighborRow = z[i + neighborShift[0]];\n            if(!neighborRow) continue;\n            neighborVal = neighborRow[j + neighborShift[1]];\n            if(neighborVal !== undefined) {\n                if(neighborSum === 0) {\n                    minNeighbor = maxNeighbor = neighborVal;\n                }\n                else {\n                    minNeighbor = Math.min(minNeighbor, neighborVal);\n                    maxNeighbor = Math.max(maxNeighbor, neighborVal);\n                }\n                neighborCount++;\n                neighborSum += neighborVal;\n            }\n        }\n\n        if(neighborCount === 0) {\n            throw 'iterateInterp2d order is wrong: no defined neighbors';\n        }\n\n        // this is the laplace equation interpolation:\n        // each point is just the average of its neighbors\n        // note that this ignores differential x/y scaling\n        // which I think is the right approach, since we\n        // don't know what that scaling means\n        z[i][j] = neighborSum / neighborCount;\n\n        if(initialVal === undefined) {\n            if(neighborCount < 4) maxFractionalChange = 1;\n        }\n        else {\n            // we can make large empty regions converge faster\n            // if we overshoot the change vs the previous value\n            z[i][j] = (1 + overshoot) * z[i][j] - overshoot * initialVal;\n\n            if(maxNeighbor > minNeighbor) {\n                maxFractionalChange = Math.max(maxFractionalChange,\n                    Math.abs(z[i][j] - initialVal) / (maxNeighbor - minNeighbor));\n            }\n        }\n    }\n\n    return maxFractionalChange;\n}\n\n},{\"../../lib\":696}],956:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar isArrayOrTypedArray = _dereq_('../../lib').isArrayOrTypedArray;\n\nmodule.exports = function makeBoundArray(trace, arrayIn, v0In, dvIn, numbricks, ax) {\n    var arrayOut = [],\n        isContour = Registry.traceIs(trace, 'contour'),\n        isHist = Registry.traceIs(trace, 'histogram'),\n        isGL2D = Registry.traceIs(trace, 'gl2d'),\n        v0,\n        dv,\n        i;\n\n    var isArrayOfTwoItemsOrMore = isArrayOrTypedArray(arrayIn) && arrayIn.length > 1;\n\n    if(isArrayOfTwoItemsOrMore && !isHist && (ax.type !== 'category')) {\n        var len = arrayIn.length;\n\n        // given vals are brick centers\n        // hopefully length === numbricks, but use this method even if too few are supplied\n        // and extend it linearly based on the last two points\n        if(len <= numbricks) {\n            // contour plots only want the centers\n            if(isContour || isGL2D) arrayOut = arrayIn.slice(0, numbricks);\n            else if(numbricks === 1) {\n                arrayOut = [arrayIn[0] - 0.5, arrayIn[0] + 0.5];\n            }\n            else {\n                arrayOut = [1.5 * arrayIn[0] - 0.5 * arrayIn[1]];\n\n                for(i = 1; i < len; i++) {\n                    arrayOut.push((arrayIn[i - 1] + arrayIn[i]) * 0.5);\n                }\n\n                arrayOut.push(1.5 * arrayIn[len - 1] - 0.5 * arrayIn[len - 2]);\n            }\n\n            if(len < numbricks) {\n                var lastPt = arrayOut[arrayOut.length - 1],\n                    delta = lastPt - arrayOut[arrayOut.length - 2];\n\n                for(i = len; i < numbricks; i++) {\n                    lastPt += delta;\n                    arrayOut.push(lastPt);\n                }\n            }\n        }\n        else {\n            // hopefully length === numbricks+1, but do something regardless:\n            // given vals are brick boundaries\n            return isContour ?\n                arrayIn.slice(0, numbricks) :  // we must be strict for contours\n                arrayIn.slice(0, numbricks + 1);\n        }\n    }\n    else {\n        dv = dvIn || 1;\n\n        var calendar = trace[ax._id.charAt(0) + 'calendar'];\n\n        if(isHist || ax.type === 'category') v0 = ax.r2c(v0In, 0, calendar) || 0;\n        else if(isArrayOrTypedArray(arrayIn) && arrayIn.length === 1) v0 = arrayIn[0];\n        else if(v0In === undefined) v0 = 0;\n        else v0 = ax.d2c(v0In, 0, calendar);\n\n        for(i = (isContour || isGL2D) ? 0 : -0.5; i < numbricks; i++) {\n            arrayOut.push(v0 + dv * i);\n        }\n    }\n\n    return arrayOut;\n};\n\n},{\"../../lib\":696,\"../../registry\":828}],957:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = function maxRowLength(z) {\n    var len = 0;\n\n    for(var i = 0; i < z.length; i++) {\n        len = Math.max(len, z[i].length);\n    }\n\n    return len;\n};\n\n},{}],958:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar tinycolor = _dereq_('tinycolor2');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Colorscale = _dereq_('../../components/colorscale');\nvar xmlnsNamespaces = _dereq_('../../constants/xmlns_namespaces');\n\nvar maxRowLength = _dereq_('./max_row_length');\n\nmodule.exports = function(gd, plotinfo, cdheatmaps, heatmapLayer) {\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n\n    Lib.makeTraceGroups(heatmapLayer, cdheatmaps, 'hm').each(function(cd) {\n        var plotGroup = d3.select(this);\n        var cd0 = cd[0];\n        var trace = cd0.trace;\n\n        var z = cd0.z;\n        var x = cd0.x;\n        var y = cd0.y;\n        var xc = cd0.xCenter;\n        var yc = cd0.yCenter;\n        var isContour = Registry.traceIs(trace, 'contour');\n        var zsmooth = isContour ? 'best' : trace.zsmooth;\n\n        // get z dims\n        var m = z.length;\n        var n = maxRowLength(z);\n        var xrev = false;\n        var yrev = false;\n\n        var left, right, temp, top, bottom, i;\n\n        // TODO: if there are multiple overlapping categorical heatmaps,\n        // or if we allow category sorting, then the categories may not be\n        // sequential... may need to reorder and/or expand z\n\n        // Get edges of png in pixels (xa.c2p() maps axes coordinates to pixel coordinates)\n        // figure out if either axis is reversed (y is usually reversed, in pixel coords)\n        // also clip the image to maximum 50% outside the visible plot area\n        // bigger image lets you pan more naturally, but slows performance.\n        // TODO: use low-resolution images outside the visible plot for panning\n        // these while loops find the first and last brick bounds that are defined\n        // (in case of log of a negative)\n        i = 0;\n        while(left === undefined && i < x.length - 1) {\n            left = xa.c2p(x[i]);\n            i++;\n        }\n        i = x.length - 1;\n        while(right === undefined && i > 0) {\n            right = xa.c2p(x[i]);\n            i--;\n        }\n\n        if(right < left) {\n            temp = right;\n            right = left;\n            left = temp;\n            xrev = true;\n        }\n\n        i = 0;\n        while(top === undefined && i < y.length - 1) {\n            top = ya.c2p(y[i]);\n            i++;\n        }\n        i = y.length - 1;\n        while(bottom === undefined && i > 0) {\n            bottom = ya.c2p(y[i]);\n            i--;\n        }\n\n        if(bottom < top) {\n            temp = top;\n            top = bottom;\n            bottom = temp;\n            yrev = true;\n        }\n\n        // for contours with heatmap fill, we generate the boundaries based on\n        // brick centers but then use the brick edges for drawing the bricks\n        if(isContour) {\n            xc = x;\n            yc = y;\n            x = cd0.xfill;\n            y = cd0.yfill;\n        }\n\n        // make an image that goes at most half a screen off either side, to keep\n        // time reasonable when you zoom in. if zsmooth is true/fast, don't worry\n        // about this, because zooming doesn't increase number of pixels\n        // if zsmooth is best, don't include anything off screen because it takes too long\n        if(zsmooth !== 'fast') {\n            var extra = zsmooth === 'best' ? 0 : 0.5;\n            left = Math.max(-extra * xa._length, left);\n            right = Math.min((1 + extra) * xa._length, right);\n            top = Math.max(-extra * ya._length, top);\n            bottom = Math.min((1 + extra) * ya._length, bottom);\n        }\n\n        var imageWidth = Math.round(right - left),\n            imageHeight = Math.round(bottom - top);\n\n        // setup image nodes\n\n        // if image is entirely off-screen, don't even draw it\n        var isOffScreen = (imageWidth <= 0 || imageHeight <= 0);\n\n        if(isOffScreen) {\n            var noImage = plotGroup.selectAll('image').data([]);\n            noImage.exit().remove();\n            return;\n        }\n\n        // generate image data\n\n        var canvasW, canvasH;\n        if(zsmooth === 'fast') {\n            canvasW = n;\n            canvasH = m;\n        } else {\n            canvasW = imageWidth;\n            canvasH = imageHeight;\n        }\n\n        var canvas = document.createElement('canvas');\n        canvas.width = canvasW;\n        canvas.height = canvasH;\n        var context = canvas.getContext('2d');\n\n        var sclFunc = Colorscale.makeColorScaleFunc(\n            Colorscale.extractScale(\n                trace.colorscale,\n                trace.zmin,\n                trace.zmax\n            ),\n            { noNumericCheck: true, returnArray: true }\n        );\n\n        // map brick boundaries to image pixels\n        var xpx,\n            ypx;\n        if(zsmooth === 'fast') {\n            xpx = xrev ?\n                function(index) { return n - 1 - index; } :\n                Lib.identity;\n            ypx = yrev ?\n                function(index) { return m - 1 - index; } :\n                Lib.identity;\n        }\n        else {\n            xpx = function(index) {\n                return Lib.constrain(Math.round(xa.c2p(x[index]) - left),\n                    0, imageWidth);\n            };\n            ypx = function(index) {\n                return Lib.constrain(Math.round(ya.c2p(y[index]) - top),\n                    0, imageHeight);\n            };\n        }\n\n        // build the pixel map brick-by-brick\n        // cruise through z-matrix row-by-row\n        // build a brick at each z-matrix value\n        var yi = ypx(0);\n        var yb = [yi, yi];\n        var xbi = xrev ? 0 : 1;\n        var ybi = yrev ? 0 : 1;\n        // for collecting an average luminosity of the heatmap\n        var pixcount = 0;\n        var rcount = 0;\n        var gcount = 0;\n        var bcount = 0;\n\n        var xb, j, xi, v, row, c;\n\n        function setColor(v, pixsize) {\n            if(v !== undefined) {\n                var c = sclFunc(v);\n                c[0] = Math.round(c[0]);\n                c[1] = Math.round(c[1]);\n                c[2] = Math.round(c[2]);\n\n                pixcount += pixsize;\n                rcount += c[0] * pixsize;\n                gcount += c[1] * pixsize;\n                bcount += c[2] * pixsize;\n                return c;\n            }\n            return [0, 0, 0, 0];\n        }\n\n        function interpColor(r0, r1, xinterp, yinterp) {\n            var z00 = r0[xinterp.bin0];\n            if(z00 === undefined) return setColor(undefined, 1);\n\n            var z01 = r0[xinterp.bin1],\n                z10 = r1[xinterp.bin0],\n                z11 = r1[xinterp.bin1],\n                dx = (z01 - z00) || 0,\n                dy = (z10 - z00) || 0,\n                dxy;\n\n            // the bilinear interpolation term needs different calculations\n            // for all the different permutations of missing data\n            // among the neighbors of the main point, to ensure\n            // continuity across brick boundaries.\n            if(z01 === undefined) {\n                if(z11 === undefined) dxy = 0;\n                else if(z10 === undefined) dxy = 2 * (z11 - z00);\n                else dxy = (2 * z11 - z10 - z00) * 2 / 3;\n            }\n            else if(z11 === undefined) {\n                if(z10 === undefined) dxy = 0;\n                else dxy = (2 * z00 - z01 - z10) * 2 / 3;\n            }\n            else if(z10 === undefined) dxy = (2 * z11 - z01 - z00) * 2 / 3;\n            else dxy = (z11 + z00 - z01 - z10);\n\n            return setColor(z00 + xinterp.frac * dx + yinterp.frac * (dy + xinterp.frac * dxy));\n        }\n\n        if(zsmooth) { // best or fast, works fastest with imageData\n            var pxIndex = 0,\n                pixels;\n\n            try {\n                pixels = new Uint8Array(imageWidth * imageHeight * 4);\n            }\n            catch(e) {\n                pixels = new Array(imageWidth * imageHeight * 4);\n            }\n\n            if(zsmooth === 'best') {\n                var xForPx = xc || x;\n                var yForPx = yc || y;\n                var xPixArray = new Array(xForPx.length);\n                var yPixArray = new Array(yForPx.length);\n                var xinterpArray = new Array(imageWidth);\n                var findInterpX = xc ? findInterpFromCenters : findInterp;\n                var findInterpY = yc ? findInterpFromCenters : findInterp;\n                var yinterp, r0, r1;\n\n                // first make arrays of x and y pixel locations of brick boundaries\n                for(i = 0; i < xForPx.length; i++) xPixArray[i] = Math.round(xa.c2p(xForPx[i]) - left);\n                for(i = 0; i < yForPx.length; i++) yPixArray[i] = Math.round(ya.c2p(yForPx[i]) - top);\n\n                // then make arrays of interpolations\n                // (bin0=closest, bin1=next, frac=fractional dist.)\n                for(i = 0; i < imageWidth; i++) xinterpArray[i] = findInterpX(i, xPixArray);\n\n                // now do the interpolations and fill the png\n                for(j = 0; j < imageHeight; j++) {\n                    yinterp = findInterpY(j, yPixArray);\n                    r0 = z[yinterp.bin0];\n                    r1 = z[yinterp.bin1];\n                    for(i = 0; i < imageWidth; i++, pxIndex += 4) {\n                        c = interpColor(r0, r1, xinterpArray[i], yinterp);\n                        putColor(pixels, pxIndex, c);\n                    }\n                }\n            }\n            else { // zsmooth = fast\n                for(j = 0; j < m; j++) {\n                    row = z[j];\n                    yb = ypx(j);\n                    for(i = 0; i < imageWidth; i++) {\n                        c = setColor(row[i], 1);\n                        pxIndex = (yb * imageWidth + xpx(i)) * 4;\n                        putColor(pixels, pxIndex, c);\n                    }\n                }\n            }\n\n            var imageData = context.createImageData(imageWidth, imageHeight);\n            try {\n                imageData.data.set(pixels);\n            }\n            catch(e) {\n                var pxArray = imageData.data,\n                    dlen = pxArray.length;\n                for(j = 0; j < dlen; j ++) {\n                    pxArray[j] = pixels[j];\n                }\n            }\n\n            context.putImageData(imageData, 0, 0);\n        } else { // zsmooth = false -> filling potentially large bricks works fastest with fillRect\n\n            // gaps do not need to be exact integers, but if they *are* we will get\n            // cleaner edges by rounding at least one edge\n            var xGap = trace.xgap;\n            var yGap = trace.ygap;\n            var xGapLeft = Math.floor(xGap / 2);\n            var yGapTop = Math.floor(yGap / 2);\n\n            for(j = 0; j < m; j++) {\n                row = z[j];\n                yb.reverse();\n                yb[ybi] = ypx(j + 1);\n                if(yb[0] === yb[1] || yb[0] === undefined || yb[1] === undefined) {\n                    continue;\n                }\n                xi = xpx(0);\n                xb = [xi, xi];\n                for(i = 0; i < n; i++) {\n                    // build one color brick!\n                    xb.reverse();\n                    xb[xbi] = xpx(i + 1);\n                    if(xb[0] === xb[1] || xb[0] === undefined || xb[1] === undefined) {\n                        continue;\n                    }\n                    v = row[i];\n                    c = setColor(v, (xb[1] - xb[0]) * (yb[1] - yb[0]));\n                    context.fillStyle = 'rgba(' + c.join(',') + ')';\n\n                    context.fillRect(xb[0] + xGapLeft, yb[0] + yGapTop,\n                        xb[1] - xb[0] - xGap, yb[1] - yb[0] - yGap);\n                }\n            }\n        }\n\n        rcount = Math.round(rcount / pixcount);\n        gcount = Math.round(gcount / pixcount);\n        bcount = Math.round(bcount / pixcount);\n        var avgColor = tinycolor('rgb(' + rcount + ',' + gcount + ',' + bcount + ')');\n\n        gd._hmpixcount = (gd._hmpixcount||0) + pixcount;\n        gd._hmlumcount = (gd._hmlumcount||0) + pixcount * avgColor.getLuminance();\n\n        var image3 = plotGroup.selectAll('image')\n            .data(cd);\n\n        image3.enter().append('svg:image').attr({\n            xmlns: xmlnsNamespaces.svg,\n            preserveAspectRatio: 'none'\n        });\n\n        image3.attr({\n            height: imageHeight,\n            width: imageWidth,\n            x: left,\n            y: top,\n            'xlink:href': canvas.toDataURL('image/png')\n        });\n    });\n};\n\n// get interpolated bin value. Returns {bin0:closest bin, frac:fractional dist to next, bin1:next bin}\nfunction findInterp(pixel, pixArray) {\n    var maxBin = pixArray.length - 2;\n    var bin = Lib.constrain(Lib.findBin(pixel, pixArray), 0, maxBin);\n    var pix0 = pixArray[bin];\n    var pix1 = pixArray[bin + 1];\n    var interp = Lib.constrain(bin + (pixel - pix0) / (pix1 - pix0) - 0.5, 0, maxBin);\n    var bin0 = Math.round(interp);\n    var frac = Math.abs(interp - bin0);\n\n    if(!interp || interp === maxBin || !frac) {\n        return {\n            bin0: bin0,\n            bin1: bin0,\n            frac: 0\n        };\n    }\n    return {\n        bin0: bin0,\n        frac: frac,\n        bin1: Math.round(bin0 + frac / (interp - bin0))\n    };\n}\n\nfunction findInterpFromCenters(pixel, centerPixArray) {\n    var maxBin = centerPixArray.length - 1;\n    var bin = Lib.constrain(Lib.findBin(pixel, centerPixArray), 0, maxBin);\n    var pix0 = centerPixArray[bin];\n    var pix1 = centerPixArray[bin + 1];\n    var frac = ((pixel - pix0) / (pix1 - pix0)) || 0;\n    if(frac <= 0) {\n        return {\n            bin0: bin,\n            bin1: bin,\n            frac: 0\n        };\n    }\n    if(frac < 0.5) {\n        return {\n            bin0: bin,\n            bin1: bin + 1,\n            frac: frac\n        };\n    }\n    return {\n        bin0: bin + 1,\n        bin1: bin,\n        frac: 1 - frac\n    };\n}\n\nfunction putColor(pixels, pxIndex, c) {\n    pixels[pxIndex] = c[0];\n    pixels[pxIndex + 1] = c[1];\n    pixels[pxIndex + 2] = c[2];\n    pixels[pxIndex + 3] = Math.round(c[3] * 255);\n}\n\n},{\"../../components/colorscale\":585,\"../../constants/xmlns_namespaces\":674,\"../../lib\":696,\"../../registry\":828,\"./max_row_length\":957,\"d3\":148,\"tinycolor2\":514}],959:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nmodule.exports = function style(gd) {\n    d3.select(gd).selectAll('.hm image')\n        .style('opacity', function(d) {\n            return d.trace.opacity;\n        });\n};\n\n},{\"d3\":148}],960:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = function handleStyleDefaults(traceIn, traceOut, coerce) {\n    var zsmooth = coerce('zsmooth');\n    if(zsmooth === false) {\n        // ensure that xgap and ygap are coerced only when zsmooth allows them to have an effect.\n        coerce('xgap');\n        coerce('ygap');\n    }\n\n    coerce('zhoverformat');\n};\n\n},{}],961:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar Lib = _dereq_('../../lib');\n\nvar Registry = _dereq_('../../registry');\n\nmodule.exports = function handleXYZDefaults(traceIn, traceOut, coerce, layout, xName, yName) {\n    var z = coerce('z');\n    xName = xName || 'x';\n    yName = yName || 'y';\n    var x, y;\n\n    if(z === undefined || !z.length) return 0;\n\n    if(Lib.isArray1D(traceIn.z)) {\n        x = coerce(xName);\n        y = coerce(yName);\n\n        // column z must be accompanied by xName and yName arrays\n        if(!(x && x.length && y && y.length)) return 0;\n\n        traceOut._length = Math.min(x.length, y.length, z.length);\n    }\n    else {\n        x = coordDefaults(xName, coerce);\n        y = coordDefaults(yName, coerce);\n\n        // TODO put z validation elsewhere\n        if(!isValidZ(z)) return 0;\n\n        coerce('transpose');\n\n        traceOut._length = null;\n    }\n\n    var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleTraceDefaults');\n    handleCalendarDefaults(traceIn, traceOut, [xName, yName], layout);\n\n    return true;\n};\n\nfunction coordDefaults(coordStr, coerce) {\n    var coord = coerce(coordStr),\n        coordType = coord ?\n            coerce(coordStr + 'type', 'array') :\n            'scaled';\n\n    if(coordType === 'scaled') {\n        coerce(coordStr + '0');\n        coerce('d' + coordStr);\n    }\n\n    return coord;\n}\n\nfunction isValidZ(z) {\n    var allRowsAreArrays = true,\n        oneRowIsFilled = false,\n        hasOneNumber = false,\n        zi;\n\n    /*\n     * Without this step:\n     *\n     * hasOneNumber = false breaks contour but not heatmap\n     * allRowsAreArrays = false breaks contour but not heatmap\n     * oneRowIsFilled = false breaks both\n     */\n\n    for(var i = 0; i < z.length; i++) {\n        zi = z[i];\n        if(!Lib.isArrayOrTypedArray(zi)) {\n            allRowsAreArrays = false;\n            break;\n        }\n        if(zi.length > 0) oneRowIsFilled = true;\n        for(var j = 0; j < zi.length; j++) {\n            if(isNumeric(zi[j])) {\n                hasOneNumber = true;\n                break;\n            }\n        }\n    }\n\n    return (allRowsAreArrays && oneRowIsFilled && hasOneNumber);\n}\n\n},{\"../../lib\":696,\"../../registry\":828,\"fast-isnumeric\":214}],962:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nvar heatmapAttrs = _dereq_('../heatmap/attributes');\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\n\nvar commonList = [\n    'z',\n    'x', 'x0', 'dx',\n    'y', 'y0', 'dy',\n    'text', 'transpose',\n    'xtype', 'ytype'\n];\n\nvar attrs = {};\n\nfor(var i = 0; i < commonList.length; i++) {\n    var k = commonList[i];\n    attrs[k] = heatmapAttrs[k];\n}\n\nextendFlat(\n    attrs,\n    colorscaleAttrs('', {cLetter: 'z', autoColorDflt: false}),\n    {colorbar: colorbarAttrs}\n);\n\nmodule.exports = overrideAll(attrs, 'calc', 'nested');\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../heatmap/attributes\":946}],963:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar createHeatmap2D = _dereq_('gl-heatmap2d');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar str2RGBArray = _dereq_('../../lib/str2rgbarray');\n\n\nfunction Heatmap(scene, uid) {\n    this.scene = scene;\n    this.uid = uid;\n    this.type = 'heatmapgl';\n\n    this.name = '';\n    this.hoverinfo = 'all';\n\n    this.xData = [];\n    this.yData = [];\n    this.zData = [];\n    this.textLabels = [];\n\n    this.idToIndex = [];\n    this.bounds = [0, 0, 0, 0];\n\n    this.options = {\n        z: [],\n        x: [],\n        y: [],\n        shape: [0, 0],\n        colorLevels: [0],\n        colorValues: [0, 0, 0, 1]\n    };\n\n    this.heatmap = createHeatmap2D(scene.glplot, this.options);\n    this.heatmap._trace = this;\n}\n\nvar proto = Heatmap.prototype;\n\nproto.handlePick = function(pickResult) {\n    var options = this.options,\n        shape = options.shape,\n        index = pickResult.pointId,\n        xIndex = index % shape[0],\n        yIndex = Math.floor(index / shape[0]),\n        zIndex = index;\n\n    return {\n        trace: this,\n        dataCoord: pickResult.dataCoord,\n        traceCoord: [\n            options.x[xIndex],\n            options.y[yIndex],\n            options.z[zIndex]\n        ],\n        textLabel: this.textLabels[index],\n        name: this.name,\n        pointIndex: [yIndex, xIndex],\n        hoverinfo: this.hoverinfo\n    };\n};\n\nproto.update = function(fullTrace, calcTrace) {\n    var calcPt = calcTrace[0];\n\n    this.index = fullTrace.index;\n    this.name = fullTrace.name;\n    this.hoverinfo = fullTrace.hoverinfo;\n\n    // convert z from 2D -> 1D\n    var z = calcPt.z;\n    this.options.z = [].concat.apply([], z);\n\n    var rowLen = z[0].length,\n        colLen = z.length;\n    this.options.shape = [rowLen, colLen];\n\n    this.options.x = calcPt.x;\n    this.options.y = calcPt.y;\n\n    var colorOptions = convertColorscale(fullTrace);\n    this.options.colorLevels = colorOptions.colorLevels;\n    this.options.colorValues = colorOptions.colorValues;\n\n    // convert text from 2D -> 1D\n    this.textLabels = [].concat.apply([], fullTrace.text);\n\n    this.heatmap.update(this.options);\n\n    var xa = this.scene.xaxis;\n    var ya = this.scene.yaxis;\n    fullTrace._extremes[xa._id] = Axes.findExtremes(xa, calcPt.x);\n    fullTrace._extremes[ya._id] = Axes.findExtremes(ya, calcPt.y);\n};\n\nproto.dispose = function() {\n    this.heatmap.dispose();\n};\n\nfunction convertColorscale(fullTrace) {\n    var scl = fullTrace.colorscale,\n        zmin = fullTrace.zmin,\n        zmax = fullTrace.zmax;\n\n    var N = scl.length,\n        domain = new Array(N),\n        range = new Array(4 * N);\n\n    for(var i = 0; i < N; i++) {\n        var si = scl[i];\n        var color = str2RGBArray(si[1]);\n\n        domain[i] = zmin + si[0] * (zmax - zmin);\n\n        for(var j = 0; j < 4; j++) {\n            range[(4 * i) + j] = color[j];\n        }\n    }\n\n    return {\n        colorLevels: domain,\n        colorValues: range\n    };\n}\n\nfunction createHeatmap(scene, fullTrace, calcTrace) {\n    var plot = new Heatmap(scene, fullTrace.uid);\n    plot.update(fullTrace, calcTrace);\n    return plot;\n}\n\nmodule.exports = createHeatmap;\n\n},{\"../../lib/str2rgbarray\":720,\"../../plots/cartesian/axes\":745,\"gl-heatmap2d\":241}],964:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar HeatmapGl = {};\n\nHeatmapGl.attributes = _dereq_('./attributes');\nHeatmapGl.supplyDefaults = _dereq_('../heatmap/defaults');\nHeatmapGl.colorbar = _dereq_('../heatmap/colorbar');\n\nHeatmapGl.calc = _dereq_('../heatmap/calc');\nHeatmapGl.plot = _dereq_('./convert');\n\nHeatmapGl.moduleType = 'trace';\nHeatmapGl.name = 'heatmapgl';\nHeatmapGl.basePlotModule = _dereq_('../../plots/gl2d');\nHeatmapGl.categories = ['gl', 'gl2d', '2dMap'];\nHeatmapGl.meta = {\n    \n};\n\nmodule.exports = HeatmapGl;\n\n},{\"../../plots/gl2d\":785,\"../heatmap/calc\":947,\"../heatmap/colorbar\":949,\"../heatmap/defaults\":951,\"./attributes\":962,\"./convert\":963}],965:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar barAttrs = _dereq_('../bar/attributes');\nvar makeBinAttrs = _dereq_('./bin_attributes');\n\nmodule.exports = {\n    x: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n    y: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n\n    text: barAttrs.text,\n    orientation: barAttrs.orientation,\n\n    histfunc: {\n        valType: 'enumerated',\n        values: ['count', 'sum', 'avg', 'min', 'max'],\n        \n        dflt: 'count',\n        editType: 'calc',\n        \n    },\n    histnorm: {\n        valType: 'enumerated',\n        values: ['', 'percent', 'probability', 'density', 'probability density'],\n        dflt: '',\n        \n        editType: 'calc',\n        \n    },\n\n    cumulative: {\n        enabled: {\n            valType: 'boolean',\n            dflt: false,\n            \n            editType: 'calc',\n            \n        },\n\n        direction: {\n            valType: 'enumerated',\n            values: ['increasing', 'decreasing'],\n            dflt: 'increasing',\n            \n            editType: 'calc',\n            \n        },\n\n        currentbin: {\n            valType: 'enumerated',\n            values: ['include', 'exclude', 'half'],\n            dflt: 'include',\n            \n            editType: 'calc',\n            \n        },\n        editType: 'calc'\n    },\n    nbinsx: {\n        valType: 'integer',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'calc',\n        \n    },\n    xbins: makeBinAttrs('x', true),\n\n    nbinsy: {\n        valType: 'integer',\n        min: 0,\n        dflt: 0,\n        \n        editType: 'calc',\n        \n    },\n    ybins: makeBinAttrs('y', true),\n    autobinx: {\n        valType: 'boolean',\n        dflt: null,\n        \n        editType: 'calc',\n        \n    },\n    autobiny: {\n        valType: 'boolean',\n        dflt: null,\n        \n        editType: 'calc',\n        impliedEdits: {\n            'ybins.start': undefined,\n            'ybins.end': undefined,\n            'ybins.size': undefined\n        },\n        \n    },\n\n    marker: barAttrs.marker,\n\n    selected: barAttrs.selected,\n    unselected: barAttrs.unselected,\n\n    _deprecated: {\n        bardir: barAttrs._deprecated.bardir\n    }\n};\n\n},{\"../bar/attributes\":838,\"./bin_attributes\":967}],966:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nmodule.exports = function doAvg(size, counts) {\n    var nMax = size.length,\n        total = 0;\n    for(var i = 0; i < nMax; i++) {\n        if(counts[i]) {\n            size[i] /= counts[i];\n            total += size[i];\n        }\n        else size[i] = null;\n    }\n    return total;\n};\n\n},{}],967:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function makeBinAttrs(axLetter, match) {\n    return {\n        start: {\n            valType: 'any', // for date axes\n            \n            editType: 'calc',\n            \n        },\n        end: {\n            valType: 'any', // for date axes\n            \n            editType: 'calc',\n            \n        },\n        size: {\n            valType: 'any', // for date axes\n            \n            editType: 'calc',\n            \n        },\n        editType: 'calc'\n    };\n};\n\n},{}],968:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\n\nmodule.exports = {\n    count: function(n, i, size) {\n        size[n]++;\n        return 1;\n    },\n\n    sum: function(n, i, size, counterData) {\n        var v = counterData[i];\n        if(isNumeric(v)) {\n            v = Number(v);\n            size[n] += v;\n            return v;\n        }\n        return 0;\n    },\n\n    avg: function(n, i, size, counterData, counts) {\n        var v = counterData[i];\n        if(isNumeric(v)) {\n            v = Number(v);\n            size[n] += v;\n            counts[n]++;\n        }\n        return 0;\n    },\n\n    min: function(n, i, size, counterData) {\n        var v = counterData[i];\n        if(isNumeric(v)) {\n            v = Number(v);\n            if(!isNumeric(size[n])) {\n                size[n] = v;\n                return v;\n            }\n            else if(size[n] > v) {\n                var delta = v - size[n];\n                size[n] = v;\n                return delta;\n            }\n        }\n        return 0;\n    },\n\n    max: function(n, i, size, counterData) {\n        var v = counterData[i];\n        if(isNumeric(v)) {\n            v = Number(v);\n            if(!isNumeric(size[n])) {\n                size[n] = v;\n                return v;\n            }\n            else if(size[n] < v) {\n                var delta = v - size[n];\n                size[n] = v;\n                return delta;\n            }\n        }\n        return 0;\n    }\n};\n\n},{\"fast-isnumeric\":214}],969:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar numConstants = _dereq_('../../constants/numerical');\nvar oneYear = numConstants.ONEAVGYEAR;\nvar oneMonth = numConstants.ONEAVGMONTH;\nvar oneDay = numConstants.ONEDAY;\nvar oneHour = numConstants.ONEHOUR;\nvar oneMin = numConstants.ONEMIN;\nvar oneSec = numConstants.ONESEC;\nvar tickIncrement = _dereq_('../../plots/cartesian/axes').tickIncrement;\n\n\n/*\n * make a function that will find rounded bin edges\n * @param {number} leftGap: how far from the left edge of any bin is the closest data value?\n * @param {number} rightGap: how far from the right edge of any bin is the closest data value?\n * @param {Array[number]} binEdges: the actual edge values used in binning\n * @param {object} pa: the position axis\n * @param {string} calendar: the data calendar\n *\n * @return {function(v, isRightEdge)}:\n *   find the start (isRightEdge is falsy) or end (truthy) label value for a bin edge `v`\n */\nmodule.exports = function getBinSpanLabelRound(leftGap, rightGap, binEdges, pa, calendar) {\n    // the rounding digit is the largest digit that changes in *all* of 4 regions:\n    // - inside the rightGap before binEdges[0] (shifted 10% to the left)\n    // - inside the leftGap after binEdges[0] (expanded by 10% of rightGap on each end)\n    // - same for binEdges[1]\n    var dv0 = -1.1 * rightGap;\n    var dv1 = -0.1 * rightGap;\n    var dv2 = leftGap - dv1;\n    var edge0 = binEdges[0];\n    var edge1 = binEdges[1];\n    var leftDigit = Math.min(\n        biggestDigitChanged(edge0 + dv1, edge0 + dv2, pa, calendar),\n        biggestDigitChanged(edge1 + dv1, edge1 + dv2, pa, calendar)\n    );\n    var rightDigit = Math.min(\n        biggestDigitChanged(edge0 + dv0, edge0 + dv1, pa, calendar),\n        biggestDigitChanged(edge1 + dv0, edge1 + dv1, pa, calendar)\n    );\n\n    // normally we try to make the label for the right edge different from\n    // the left edge label, so it's unambiguous which bin gets data on the edge.\n    // but if this results in more than 3 extra digits (or for dates, more than\n    // 2 fields ie hr&min or min&sec, which is 3600x), it'll be more clutter than\n    // useful so keep the label cleaner instead\n    var digit, disambiguateEdges;\n    if(leftDigit > rightDigit && rightDigit < Math.abs(edge1 - edge0) / 4000) {\n        digit = leftDigit;\n        disambiguateEdges = false;\n    }\n    else {\n        digit = Math.min(leftDigit, rightDigit);\n        disambiguateEdges = true;\n    }\n\n    if(pa.type === 'date' && digit > oneDay) {\n        var dashExclude = (digit === oneYear) ? 1 : 6;\n        var increment = (digit === oneYear) ? 'M12' : 'M1';\n\n        return function(v, isRightEdge) {\n            var dateStr = pa.c2d(v, oneYear, calendar);\n            var dashPos = dateStr.indexOf('-', dashExclude);\n            if(dashPos > 0) dateStr = dateStr.substr(0, dashPos);\n            var roundedV = pa.d2c(dateStr, 0, calendar);\n\n            if(roundedV < v) {\n                var nextV = tickIncrement(roundedV, increment, false, calendar);\n                if((roundedV + nextV) / 2 < v + leftGap) roundedV = nextV;\n            }\n\n            if(isRightEdge && disambiguateEdges) {\n                return tickIncrement(roundedV, increment, true, calendar);\n            }\n\n            return roundedV;\n        };\n    }\n\n    return function(v, isRightEdge) {\n        var roundedV = digit * Math.round(v / digit);\n        // if we rounded down and we could round up and still be < leftGap\n        // (or what leftGap values round to), do that\n        if(roundedV + (digit / 10) < v && roundedV + (digit * 0.9) < v + leftGap) {\n            roundedV += digit;\n        }\n        // finally for the right edge back off one digit - but only if we can do that\n        // and not clip off any data that's potentially in the bin\n        if(isRightEdge && disambiguateEdges) {\n            roundedV -= digit;\n        }\n        return roundedV;\n    };\n};\n\n/*\n * Find the largest digit that changes within a (calcdata) region [v1, v2]\n * if dates, \"digit\" means date/time part when it's bigger than a second\n * returns the unit value to round to this digit, eg 0.01 to round to hundredths, or\n * 100 to round to hundreds. returns oneMonth or oneYear for month or year rounding,\n * so that Math.min will work, rather than 'M1' and 'M12'\n */\nfunction biggestDigitChanged(v1, v2, pa, calendar) {\n    // are we crossing zero? can't say anything.\n    // in principle this doesn't apply to dates but turns out this doesn't matter.\n    if(v1 * v2 <= 0) return Infinity;\n\n    var dv = Math.abs(v2 - v1);\n    var isDate = pa.type === 'date';\n    var digit = biggestGuaranteedDigitChanged(dv, isDate);\n    // see if a larger digit also changed\n    for(var i = 0; i < 10; i++) {\n        // numbers: next digit needs to be >10x but <100x then gets rounded down.\n        // dates: next digit can be as much as 60x (then rounded down)\n        var nextDigit = biggestGuaranteedDigitChanged(digit * 80, isDate);\n        // if we get to years, the chain stops\n        if(digit === nextDigit) break;\n        if(didDigitChange(nextDigit, v1, v2, isDate, pa, calendar)) digit = nextDigit;\n        else break;\n    }\n    return digit;\n}\n\n/*\n * Find the largest digit that *definitely* changes in a region [v, v + dv] for any v\n * for nonuniform date regions (months/years) pick the largest\n */\nfunction biggestGuaranteedDigitChanged(dv, isDate) {\n    if(isDate && dv > oneSec) {\n        // this is supposed to be the biggest *guaranteed* change\n        // so compare to the longest month and year across any calendar,\n        // and we'll iterate back up later\n        // note: does not support rounding larger than one year. We could add\n        // that if anyone wants it, but seems unusual and not strictly necessary.\n        if(dv > oneDay) {\n            if(dv > oneYear * 1.1) return oneYear;\n            if(dv > oneMonth * 1.1) return oneMonth;\n            return oneDay;\n        }\n\n        if(dv > oneHour) return oneHour;\n        if(dv > oneMin) return oneMin;\n        return oneSec;\n    }\n    return Math.pow(10, Math.floor(Math.log(dv) / Math.LN10));\n}\n\nfunction didDigitChange(digit, v1, v2, isDate, pa, calendar) {\n    if(isDate && digit > oneDay) {\n        var dateParts1 = dateParts(v1, pa, calendar);\n        var dateParts2 = dateParts(v2, pa, calendar);\n        var parti = (digit === oneYear) ? 0 : 1;\n        return dateParts1[parti] !== dateParts2[parti];\n\n    }\n    return Math.floor(v2 / digit) - Math.floor(v1 / digit) > 0.1;\n}\n\nfunction dateParts(v, pa, calendar) {\n    var parts = pa.c2d(v, oneYear, calendar).split('-');\n    if(parts[0] === '') {\n        parts.unshift();\n        parts[0] = '-' + parts[0];\n    }\n    return parts;\n}\n\n},{\"../../constants/numerical\":673,\"../../plots/cartesian/axes\":745}],970:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nvar arraysToCalcdata = _dereq_('../bar/arrays_to_calcdata');\nvar binFunctions = _dereq_('./bin_functions');\nvar normFunctions = _dereq_('./norm_functions');\nvar doAvg = _dereq_('./average');\nvar getBinSpanLabelRound = _dereq_('./bin_label_vals');\n\nmodule.exports = function calc(gd, trace) {\n    // ignore as much processing as possible (and including in autorange) if not visible\n    if(trace.visible !== true) return;\n\n    // depending on orientation, set position and size axes and data ranges\n    // note: this logic for choosing orientation is duplicated in graph_obj->setstyles\n    var pos = [];\n    var size = [];\n    var pa = Axes.getFromId(gd, trace.orientation === 'h' ?\n        (trace.yaxis || 'y') : (trace.xaxis || 'x'));\n    var mainData = trace.orientation === 'h' ? 'y' : 'x';\n    var counterData = {x: 'y', y: 'x'}[mainData];\n    var calendar = trace[mainData + 'calendar'];\n    var cumulativeSpec = trace.cumulative;\n    var i;\n\n    var binsAndPos = calcAllAutoBins(gd, trace, pa, mainData);\n    var binSpec = binsAndPos[0];\n    var pos0 = binsAndPos[1];\n\n    var nonuniformBins = typeof binSpec.size === 'string';\n    var binEdges = [];\n    var bins = nonuniformBins ? binEdges : binSpec;\n    // make the empty bin array\n    var inc = [];\n    var counts = [];\n    var inputPoints = [];\n    var total = 0;\n    var norm = trace.histnorm;\n    var func = trace.histfunc;\n    var densityNorm = norm.indexOf('density') !== -1;\n    var i2, binEnd, n;\n\n    if(cumulativeSpec.enabled && densityNorm) {\n        // we treat \"cumulative\" like it means \"integral\" if you use a density norm,\n        // which in the end means it's the same as without \"density\"\n        norm = norm.replace(/ ?density$/, '');\n        densityNorm = false;\n    }\n\n    var extremeFunc = func === 'max' || func === 'min';\n    var sizeInit = extremeFunc ? null : 0;\n    var binFunc = binFunctions.count;\n    var normFunc = normFunctions[norm];\n    var isAvg = false;\n    var pr2c = function(v) { return pa.r2c(v, 0, calendar); };\n    var rawCounterData;\n\n    if(Lib.isArrayOrTypedArray(trace[counterData]) && func !== 'count') {\n        rawCounterData = trace[counterData];\n        isAvg = func === 'avg';\n        binFunc = binFunctions[func];\n    }\n\n    // create the bins (and any extra arrays needed)\n    // assume more than 1e6 bins is an error, so we don't crash the browser\n    i = pr2c(binSpec.start);\n\n    // decrease end a little in case of rounding errors\n    binEnd = pr2c(binSpec.end) + (i - Axes.tickIncrement(i, binSpec.size, false, calendar)) / 1e6;\n\n    while(i < binEnd && pos.length < 1e6) {\n        i2 = Axes.tickIncrement(i, binSpec.size, false, calendar);\n        pos.push((i + i2) / 2);\n        size.push(sizeInit);\n        inputPoints.push([]);\n        // nonuniform bins (like months) we need to search,\n        // rather than straight calculate the bin we're in\n        binEdges.push(i);\n        // nonuniform bins also need nonuniform normalization factors\n        if(densityNorm) inc.push(1 / (i2 - i));\n        if(isAvg) counts.push(0);\n        // break to avoid infinite loops\n        if(i2 <= i) break;\n        i = i2;\n    }\n    binEdges.push(i);\n\n    // for date axes we need bin bounds to be calcdata. For nonuniform bins\n    // we already have this, but uniform with start/end/size they're still strings.\n    if(!nonuniformBins && pa.type === 'date') {\n        bins = {\n            start: pr2c(bins.start),\n            end: pr2c(bins.end),\n            size: bins.size\n        };\n    }\n\n    // bin the data\n    // and make histogram-specific pt-number-to-cd-index map object\n    var nMax = size.length;\n    var uniqueValsPerBin = true;\n    var leftGap = Infinity;\n    var rightGap = Infinity;\n    var ptNumber2cdIndex = {};\n    for(i = 0; i < pos0.length; i++) {\n        var posi = pos0[i];\n        n = Lib.findBin(posi, bins);\n        if(n >= 0 && n < nMax) {\n            total += binFunc(n, i, size, rawCounterData, counts);\n            if(uniqueValsPerBin && inputPoints[n].length && posi !== pos0[inputPoints[n][0]]) {\n                uniqueValsPerBin = false;\n            }\n            inputPoints[n].push(i);\n            ptNumber2cdIndex[i] = n;\n\n            leftGap = Math.min(leftGap, posi - binEdges[n]);\n            rightGap = Math.min(rightGap, binEdges[n + 1] - posi);\n        }\n    }\n\n    var roundFn;\n    if(!uniqueValsPerBin) {\n        roundFn = getBinSpanLabelRound(leftGap, rightGap, binEdges, pa, calendar);\n    }\n\n    // average and/or normalize the data, if needed\n    if(isAvg) total = doAvg(size, counts);\n    if(normFunc) normFunc(size, total, inc);\n\n    // after all normalization etc, now we can accumulate if desired\n    if(cumulativeSpec.enabled) cdf(size, cumulativeSpec.direction, cumulativeSpec.currentbin);\n\n\n    var seriesLen = Math.min(pos.length, size.length);\n    var cd = [];\n    var firstNonzero = 0;\n    var lastNonzero = seriesLen - 1;\n\n    // look for empty bins at the ends to remove, so autoscale omits them\n    for(i = 0; i < seriesLen; i++) {\n        if(size[i]) {\n            firstNonzero = i;\n            break;\n        }\n    }\n    for(i = seriesLen - 1; i >= firstNonzero; i--) {\n        if(size[i]) {\n            lastNonzero = i;\n            break;\n        }\n    }\n\n    // create the \"calculated data\" to plot\n    for(i = firstNonzero; i <= lastNonzero; i++) {\n        if((isNumeric(pos[i]) && isNumeric(size[i]))) {\n            var cdi = {\n                p: pos[i],\n                s: size[i],\n                b: 0\n            };\n\n            // setup hover and event data fields,\n            // N.B. pts and \"hover\" positions ph0/ph1 don't seem to make much sense\n            // for cumulative distributions\n            if(!cumulativeSpec.enabled) {\n                cdi.pts = inputPoints[i];\n                if(uniqueValsPerBin) {\n                    cdi.ph0 = cdi.ph1 = (inputPoints[i].length) ? pos0[inputPoints[i][0]] : pos[i];\n                }\n                else {\n                    cdi.ph0 = roundFn(binEdges[i]);\n                    cdi.ph1 = roundFn(binEdges[i + 1], true);\n                }\n            }\n            cd.push(cdi);\n        }\n    }\n\n    if(cd.length === 1) {\n        // when we collapse to a single bin, calcdata no longer describes bin size\n        // so we need to explicitly specify it\n        cd[0].width1 = Axes.tickIncrement(cd[0].p, binSpec.size, false, calendar) - cd[0].p;\n    }\n\n    arraysToCalcdata(cd, trace);\n\n    if(Lib.isArrayOrTypedArray(trace.selectedpoints)) {\n        Lib.tagSelected(cd, trace, ptNumber2cdIndex);\n    }\n\n    return cd;\n};\n\n/*\n * calcAllAutoBins: we want all histograms on the same axes to share bin specs\n * if they're grouped or stacked. If the user has explicitly specified differing\n * bin specs, there's nothing we can do, but if possible we will try to use the\n * smallest bins of any of the auto values for all histograms grouped/stacked\n * together.\n */\nfunction calcAllAutoBins(gd, trace, pa, mainData, _overlayEdgeCase) {\n    var binAttr = mainData + 'bins';\n    var fullLayout = gd._fullLayout;\n    var isOverlay = fullLayout.barmode === 'overlay';\n    var i, traces, tracei, calendar, pos0, autoVals, cumulativeSpec;\n\n    var cleanBound = (pa.type === 'date') ?\n        function(v) { return (v || v === 0) ? Lib.cleanDate(v, null, pa.calendar) : null; } :\n        function(v) { return isNumeric(v) ? Number(v) : null; };\n\n    function setBound(attr, bins, newBins) {\n        if(bins[attr + 'Found']) {\n            bins[attr] = cleanBound(bins[attr]);\n            if(bins[attr] === null) bins[attr] = newBins[attr];\n        }\n        else {\n            autoVals[attr] = bins[attr] = newBins[attr];\n            Lib.nestedProperty(traces[0], binAttr + '.' + attr).set(newBins[attr]);\n        }\n    }\n\n    var binOpts = fullLayout._histogramBinOpts[trace._groupName];\n\n    // all but the first trace in this group has already been marked finished\n    // clear this flag, so next time we run calc we will run autobin again\n    if(trace._autoBinFinished) {\n        delete trace._autoBinFinished;\n    }\n    else {\n        traces = binOpts.traces;\n        var sizeFound = binOpts.sizeFound;\n        var allPos = [];\n        autoVals = traces[0]._autoBin = {};\n        // Note: we're including `legendonly` traces here for autobin purposes,\n        // so that showing & hiding from the legend won't affect bins.\n        // But this complicates things a bit since those traces don't `calc`,\n        // hence `isFirstVisible`.\n        var isFirstVisible = true;\n        for(i = 0; i < traces.length; i++) {\n            tracei = traces[i];\n            pos0 = tracei._pos0 = pa.makeCalcdata(tracei, mainData);\n            allPos = allPos.concat(pos0);\n            delete tracei._autoBinFinished;\n            if(trace.visible === true) {\n                if(isFirstVisible) {\n                    isFirstVisible = false;\n                }\n                else {\n                    delete tracei._autoBin;\n                    tracei._autoBinFinished = 1;\n                }\n            }\n        }\n        calendar = traces[0][mainData + 'calendar'];\n        var newBinSpec = Axes.autoBin(\n            allPos, pa, binOpts.nbins, false, calendar, sizeFound && binOpts.size);\n\n        // Edge case: single-valued histogram overlaying others\n        // Use them all together to calculate the bin size for the single-valued one\n        if(isOverlay && newBinSpec._dataSpan === 0 && pa.type !== 'category') {\n            // Several single-valued histograms! Stop infinite recursion,\n            // just return an extra flag that tells handleSingleValueOverlays\n            // to sort out this trace too\n            if(_overlayEdgeCase) return [newBinSpec, pos0, true];\n\n            newBinSpec = handleSingleValueOverlays(gd, trace, pa, mainData, binAttr);\n        }\n\n        // adjust for CDF edge cases\n        cumulativeSpec = tracei.cumulative;\n        if(cumulativeSpec.enabled && (cumulativeSpec.currentbin !== 'include')) {\n            if(cumulativeSpec.direction === 'decreasing') {\n                newBinSpec.start = pa.c2r(Axes.tickIncrement(\n                    pa.r2c(newBinSpec.start, 0, calendar),\n                    newBinSpec.size, true, calendar\n                ));\n            }\n            else {\n                newBinSpec.end = pa.c2r(Axes.tickIncrement(\n                    pa.r2c(newBinSpec.end, 0, calendar),\n                    newBinSpec.size, false, calendar\n                ));\n            }\n        }\n\n        binOpts.size = newBinSpec.size;\n        if(!sizeFound) {\n            autoVals.size = newBinSpec.size;\n            Lib.nestedProperty(traces[0], binAttr + '.size').set(newBinSpec.size);\n        }\n\n        setBound('start', binOpts, newBinSpec);\n        setBound('end', binOpts, newBinSpec);\n    }\n\n    pos0 = trace._pos0;\n    delete trace._pos0;\n\n    // Each trace can specify its own start/end, or if omitted\n    // we ensure they're beyond the bounds of this trace's data,\n    // and we need to make sure start is aligned with the main start\n    var traceInputBins = trace._input[binAttr] || {};\n    var traceBinOptsCalc = Lib.extendFlat({}, binOpts);\n    var mainStart = binOpts.start;\n    var startIn = pa.r2l(traceInputBins.start);\n    var hasStart = startIn !== undefined;\n    if((binOpts.startFound || hasStart) && startIn !== pa.r2l(mainStart)) {\n        // We have an explicit start to reconcile across traces\n        // if this trace has an explicit start, shift it down to a bin edge\n        // if another trace had an explicit start, shift it down to a\n        // bin edge past our data\n        var traceStart = hasStart ?\n            startIn :\n            Lib.aggNums(Math.min, null, pos0);\n\n        var dummyAx = {\n            type: pa.type === 'category' ? 'linear' : pa.type,\n            r2l: pa.r2l,\n            dtick: binOpts.size,\n            tick0: mainStart,\n            calendar: calendar,\n            range: ([traceStart, Axes.tickIncrement(traceStart, binOpts.size, false, calendar)]).map(pa.l2r)\n        };\n        var newStart = Axes.tickFirst(dummyAx);\n        if(newStart > pa.r2l(traceStart)) {\n            newStart = Axes.tickIncrement(newStart, binOpts.size, true, calendar);\n        }\n        traceBinOptsCalc.start = pa.l2r(newStart);\n        if(!hasStart) Lib.nestedProperty(trace, binAttr + '.start').set(traceBinOptsCalc.start);\n    }\n\n    var mainEnd = binOpts.end;\n    var endIn = pa.r2l(traceInputBins.end);\n    var hasEnd = endIn !== undefined;\n    if((binOpts.endFound || hasEnd) && endIn !== pa.r2l(mainEnd)) {\n        // Reconciling an explicit end is easier, as it doesn't need to\n        // match bin edges\n        var traceEnd = hasEnd ?\n            endIn :\n            Lib.aggNums(Math.max, null, pos0);\n\n        traceBinOptsCalc.end = pa.l2r(traceEnd);\n        if(!hasEnd) Lib.nestedProperty(trace, binAttr + '.start').set(traceBinOptsCalc.end);\n    }\n\n    // Backward compatibility for one-time autobinning.\n    // autobin: true is handled in cleanData, but autobin: false\n    // needs to be here where we have determined the values.\n    var autoBinAttr = 'autobin' + mainData;\n    if(trace._input[autoBinAttr] === false) {\n        trace._input[binAttr] = Lib.extendFlat({}, trace[binAttr] || {});\n        delete trace._input[autoBinAttr];\n        delete trace[autoBinAttr];\n    }\n\n    return [traceBinOptsCalc, pos0];\n}\n\n/*\n * Adjust single-value histograms in overlay mode to make as good a\n * guess as we can at autobin values the user would like.\n *\n * Returns the binSpec for the trace that sparked all this\n */\nfunction handleSingleValueOverlays(gd, trace, pa, mainData, binAttr) {\n    var overlaidTraceGroup = getConnectedHistograms(gd, trace);\n    var pastThisTrace = false;\n    var minSize = Infinity;\n    var singleValuedTraces = [trace];\n    var i, tracei;\n\n    // first collect all the:\n    // - min bin size from all multi-valued traces\n    // - single-valued traces\n    for(i = 0; i < overlaidTraceGroup.length; i++) {\n        tracei = overlaidTraceGroup[i];\n        if(tracei === trace) pastThisTrace = true;\n        else if(!pastThisTrace) {\n            // This trace has already had its autobins calculated\n            // (so must not have been single-valued).\n            minSize = Math.min(minSize, tracei[binAttr].size);\n        }\n        else {\n            var resulti = calcAllAutoBins(gd, tracei, pa, mainData, true);\n            var binSpeci = resulti[0];\n            var isSingleValued = resulti[2];\n\n            // so we can use this result when we get to tracei in the normal\n            // course of events, mark it as done and put _pos0 back\n            tracei._autoBinFinished = 1;\n            tracei._pos0 = resulti[1];\n\n            if(isSingleValued) {\n                singleValuedTraces.push(tracei);\n            }\n            else {\n                minSize = Math.min(minSize, binSpeci.size);\n            }\n        }\n    }\n\n    // find the real data values for each single-valued trace\n    // hunt through pos0 for the first valid value\n    var dataVals = new Array(singleValuedTraces.length);\n    for(i = 0; i < singleValuedTraces.length; i++) {\n        var pos0 = singleValuedTraces[i]._pos0;\n        for(var j = 0; j < pos0.length; j++) {\n            if(pos0[j] !== undefined) {\n                dataVals[i] = pos0[j];\n                break;\n            }\n        }\n    }\n\n    // are ALL traces are single-valued? use the min difference between\n    // all of their values (which defaults to 1 if there's still only one)\n    if(!isFinite(minSize)) {\n        minSize = Lib.distinctVals(dataVals).minDiff;\n    }\n\n    // now apply the min size we found to all single-valued traces\n    for(i = 0; i < singleValuedTraces.length; i++) {\n        tracei = singleValuedTraces[i];\n        var calendar = tracei[mainData + 'calendar'];\n\n        tracei._input[binAttr] = tracei[binAttr] = {\n            start: pa.c2r(dataVals[i] - minSize / 2, 0, calendar),\n            end: pa.c2r(dataVals[i] + minSize / 2, 0, calendar),\n            size: minSize\n        };\n    }\n\n    return trace[binAttr];\n}\n\n/*\n * Return an array of histograms that share axes and orientation.\n *\n * Only considers histograms. In principle we could include bars in a\n * similar way to how we do manually binned histograms, though this\n * would have tons of edge cases and value judgments to make.\n */\nfunction getConnectedHistograms(gd, trace) {\n    var xid = trace.xaxis;\n    var yid = trace.yaxis;\n    var orientation = trace.orientation;\n\n    var out = [];\n    var fullData = gd._fullData;\n    for(var i = 0; i < fullData.length; i++) {\n        var tracei = fullData[i];\n        if(tracei.type === 'histogram' &&\n            tracei.visible === true &&\n            tracei.orientation === orientation &&\n            tracei.xaxis === xid && tracei.yaxis === yid\n        ) {\n            out.push(tracei);\n        }\n    }\n\n    return out;\n}\n\n\nfunction cdf(size, direction, currentBin) {\n    var i, vi, prevSum;\n\n    function firstHalfPoint(i) {\n        prevSum = size[i];\n        size[i] /= 2;\n    }\n\n    function nextHalfPoint(i) {\n        vi = size[i];\n        size[i] = prevSum + vi / 2;\n        prevSum += vi;\n    }\n\n    if(currentBin === 'half') {\n\n        if(direction === 'increasing') {\n            firstHalfPoint(0);\n            for(i = 1; i < size.length; i++) {\n                nextHalfPoint(i);\n            }\n        }\n        else {\n            firstHalfPoint(size.length - 1);\n            for(i = size.length - 2; i >= 0; i--) {\n                nextHalfPoint(i);\n            }\n        }\n    }\n    else if(direction === 'increasing') {\n        for(i = 1; i < size.length; i++) {\n            size[i] += size[i - 1];\n        }\n\n        // 'exclude' is identical to 'include' just shifted one bin over\n        if(currentBin === 'exclude') {\n            size.unshift(0);\n            size.pop();\n        }\n    }\n    else {\n        for(i = size.length - 2; i >= 0; i--) {\n            size[i] += size[i + 1];\n        }\n\n        if(currentBin === 'exclude') {\n            size.push(0);\n            size.shift();\n        }\n    }\n}\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../bar/arrays_to_calcdata\":837,\"./average\":966,\"./bin_functions\":968,\"./bin_label_vals\":969,\"./norm_functions\":976,\"fast-isnumeric\":214}],971:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar nestedProperty = Lib.nestedProperty;\n\nvar attributes = _dereq_('./attributes');\n\nvar BINATTRS = {\n    x: [\n        {aStr: 'xbins.start', name: 'start'},\n        {aStr: 'xbins.end', name: 'end'},\n        {aStr: 'xbins.size', name: 'size'},\n        {aStr: 'nbinsx', name: 'nbins'}\n    ],\n    y: [\n        {aStr: 'ybins.start', name: 'start'},\n        {aStr: 'ybins.end', name: 'end'},\n        {aStr: 'ybins.size', name: 'size'},\n        {aStr: 'nbinsy', name: 'nbins'}\n    ]\n};\n\n// handle bin attrs and relink auto-determined values so fullData is complete\nmodule.exports = function crossTraceDefaults(fullData, fullLayout) {\n    var allBinOpts = fullLayout._histogramBinOpts = {};\n    var isOverlay = fullLayout.barmode === 'overlay';\n    var i, j, traceOut, traceIn, binDirection, group, binOpts;\n\n    function coerce(attr) {\n        return Lib.coerce(traceOut._input, traceOut, attributes, attr);\n    }\n\n    for(i = 0; i < fullData.length; i++) {\n        traceOut = fullData[i];\n        if(traceOut.type !== 'histogram') continue;\n\n        // TODO: this shouldn't be relinked as it's only used within calc\n        // https://github.com/plotly/plotly.js/issues/749\n        delete traceOut._autoBinFinished;\n\n        binDirection = traceOut.orientation === 'v' ? 'x' : 'y';\n        // in overlay mode make a separate group for each trace\n        // otherwise collect all traces of the same subplot & orientation\n        group = isOverlay ? traceOut.uid : (traceOut.xaxis + traceOut.yaxis + binDirection);\n        traceOut._groupName = group;\n\n        binOpts = allBinOpts[group];\n\n        if(binOpts) {\n            binOpts.traces.push(traceOut);\n        }\n        else {\n            binOpts = allBinOpts[group] = {\n                traces: [traceOut],\n                direction: binDirection\n            };\n        }\n    }\n\n    for(group in allBinOpts) {\n        binOpts = allBinOpts[group];\n        binDirection = binOpts.direction;\n        var attrs = BINATTRS[binDirection];\n        for(j = 0; j < attrs.length; j++) {\n            var attrSpec = attrs[j];\n            var attr = attrSpec.name;\n\n            // nbins(x|y) is moot if we have a size. This depends on\n            // nbins coming after size in binAttrs.\n            if(attr === 'nbins' && binOpts.sizeFound) continue;\n\n            var aStr = attrSpec.aStr;\n            for(i = 0; i < binOpts.traces.length; i++) {\n                traceOut = binOpts.traces[i];\n                traceIn = traceOut._input;\n                if(nestedProperty(traceIn, aStr).get() !== undefined) {\n                    binOpts[attr] = coerce(aStr);\n                    binOpts[attr + 'Found'] = true;\n                    break;\n                }\n                var autoVals = traceOut._autoBin;\n                if(autoVals && autoVals[attr]) {\n                    // if this is the *first* autoval\n                    nestedProperty(traceOut, aStr).set(autoVals[attr]);\n                }\n            }\n            // start and end we need to coerce anyway, after having collected the\n            // first of each into binOpts, in case a trace wants to restrict its\n            // data to a certain range\n            if(attr === 'start' || attr === 'end') {\n                for(; i < binOpts.traces.length; i++) {\n                    traceOut = binOpts.traces[i];\n                    coerce(aStr, (traceOut._autoBin || {})[attr]);\n                }\n            }\n\n            if(attr === 'nbins' && !binOpts.sizeFound && !binOpts.nbinsFound) {\n                traceOut = binOpts.traces[0];\n                binOpts[attr] = coerce(aStr);\n            }\n        }\n    }\n};\n\n},{\"../../lib\":696,\"./attributes\":965}],972:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Color = _dereq_('../../components/color');\n\nvar handleStyleDefaults = _dereq_('../bar/style_defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var x = coerce('x');\n    var y = coerce('y');\n\n    var cumulative = coerce('cumulative.enabled');\n    if(cumulative) {\n        coerce('cumulative.direction');\n        coerce('cumulative.currentbin');\n    }\n\n    coerce('text');\n\n    var orientation = coerce('orientation', (y && !x) ? 'h' : 'v');\n    var sampleLetter = orientation === 'v' ? 'x' : 'y';\n    var aggLetter = orientation === 'v' ? 'y' : 'x';\n\n    var len = (x && y) ? Math.min(x.length && y.length) : (traceOut[sampleLetter] || []).length;\n\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    traceOut._length = len;\n\n    var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleTraceDefaults');\n    handleCalendarDefaults(traceIn, traceOut, ['x', 'y'], layout);\n\n    var hasAggregationData = traceOut[aggLetter];\n    if(hasAggregationData) coerce('histfunc');\n    coerce('histnorm');\n\n    // Note: bin defaults are now handled in Histogram.crossTraceDefaults\n    // autobin(x|y) are only included here to appease Plotly.validate\n    coerce('autobin' + sampleLetter);\n\n    handleStyleDefaults(traceIn, traceOut, coerce, defaultColor, layout);\n\n    // override defaultColor for error bars with defaultLine\n    var errorBarsSupplyDefaults = Registry.getComponentMethod('errorbars', 'supplyDefaults');\n    errorBarsSupplyDefaults(traceIn, traceOut, Color.defaultLine, {axis: 'y'});\n    errorBarsSupplyDefaults(traceIn, traceOut, Color.defaultLine, {axis: 'x', inherit: 'y'});\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\n},{\"../../components/color\":570,\"../../lib\":696,\"../../registry\":828,\"../bar/style_defaults\":851,\"./attributes\":965}],973:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function eventData(out, pt, trace, cd, pointNumber) {\n    // standard cartesian event data\n    out.x = 'xVal' in pt ? pt.xVal : pt.x;\n    out.y = 'yVal' in pt ? pt.yVal : pt.y;\n\n    if(pt.xa) out.xaxis = pt.xa;\n    if(pt.ya) out.yaxis = pt.ya;\n\n    // specific to histogram - CDFs do not have pts (yet?)\n    if(!(trace.cumulative || {}).enabled) {\n        var pts = Array.isArray(pointNumber) ?\n            cd[0].pts[pointNumber[0]][pointNumber[1]] :\n            cd[pointNumber].pts;\n\n        out.pointNumbers = pts;\n        out.binNumber = out.pointNumber;\n        delete out.pointNumber;\n        delete out.pointIndex;\n\n        var pointIndices;\n        if(trace._indexToPoints) {\n            pointIndices = [];\n            for(var i = 0; i < pts.length; i++) {\n                pointIndices = pointIndices.concat(trace._indexToPoints[pts[i]]);\n            }\n        } else {\n            pointIndices = pts;\n        }\n\n        out.pointIndices = pointIndices;\n    }\n\n    return out;\n};\n\n},{}],974:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar barHover = _dereq_('../bar/hover').hoverPoints;\nvar hoverLabelText = _dereq_('../../plots/cartesian/axes').hoverLabelText;\n\nmodule.exports = function hoverPoints(pointData, xval, yval, hovermode) {\n    var pts = barHover(pointData, xval, yval, hovermode);\n\n    if(!pts) return;\n\n    pointData = pts[0];\n    var di = pointData.cd[pointData.index];\n    var trace = pointData.cd[0].trace;\n\n    if(!trace.cumulative.enabled) {\n        var posLetter = trace.orientation === 'h' ? 'y' : 'x';\n\n        pointData[posLetter + 'Label'] = hoverLabelText(pointData[posLetter + 'a'], di.ph0, di.ph1);\n    }\n\n    return pts;\n};\n\n},{\"../../plots/cartesian/axes\":745,\"../bar/hover\":843}],975:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n/**\n * Histogram has its own attribute, defaults and calc steps,\n * but uses bar's plot to display\n * and bar's crossTraceCalc (formerly known as setPositions) for stacking and grouping\n */\n\n/**\n * histogram errorBarsOK is debatable, but it's put in for backward compat.\n * there are use cases for it - sqrt for a simple histogram works right now,\n * constant and % work but they're not so meaningful. I guess it could be cool\n * to allow quadrature combination of errors in summed histograms...\n */\n\n\nvar Histogram = {};\n\nHistogram.attributes = _dereq_('./attributes');\nHistogram.layoutAttributes = _dereq_('../bar/layout_attributes');\nHistogram.supplyDefaults = _dereq_('./defaults');\nHistogram.crossTraceDefaults = _dereq_('./cross_trace_defaults');\nHistogram.supplyLayoutDefaults = _dereq_('../bar/layout_defaults');\nHistogram.calc = _dereq_('./calc');\nHistogram.crossTraceCalc = _dereq_('../bar/cross_trace_calc').crossTraceCalc;\nHistogram.plot = _dereq_('../bar/plot');\nHistogram.layerName = 'barlayer';\nHistogram.style = _dereq_('../bar/style').style;\nHistogram.styleOnSelect = _dereq_('../bar/style').styleOnSelect;\nHistogram.colorbar = _dereq_('../scatter/marker_colorbar');\nHistogram.hoverPoints = _dereq_('./hover');\nHistogram.selectPoints = _dereq_('../bar/select');\nHistogram.eventData = _dereq_('./event_data');\n\nHistogram.moduleType = 'trace';\nHistogram.name = 'histogram';\nHistogram.basePlotModule = _dereq_('../../plots/cartesian');\nHistogram.categories = ['cartesian', 'svg', 'bar', 'histogram', 'oriented', 'errorBarsOK', 'showLegend'];\nHistogram.meta = {\n    \n};\n\nmodule.exports = Histogram;\n\n},{\"../../plots/cartesian\":757,\"../bar/cross_trace_calc\":840,\"../bar/layout_attributes\":845,\"../bar/layout_defaults\":846,\"../bar/plot\":847,\"../bar/select\":848,\"../bar/style\":850,\"../scatter/marker_colorbar\":1062,\"./attributes\":965,\"./calc\":970,\"./cross_trace_defaults\":971,\"./defaults\":972,\"./event_data\":973,\"./hover\":974}],976:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nmodule.exports = {\n    percent: function(size, total) {\n        var nMax = size.length,\n            norm = 100 / total;\n        for(var n = 0; n < nMax; n++) size[n] *= norm;\n    },\n    probability: function(size, total) {\n        var nMax = size.length;\n        for(var n = 0; n < nMax; n++) size[n] /= total;\n    },\n    density: function(size, total, inc, yinc) {\n        var nMax = size.length;\n        yinc = yinc || 1;\n        for(var n = 0; n < nMax; n++) size[n] *= inc[n] * yinc;\n    },\n    'probability density': function(size, total, inc, yinc) {\n        var nMax = size.length;\n        if(yinc) total /= yinc;\n        for(var n = 0; n < nMax; n++) size[n] *= inc[n] / total;\n    }\n};\n\n},{}],977:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar histogramAttrs = _dereq_('../histogram/attributes');\nvar makeBinAttrs = _dereq_('../histogram/bin_attributes');\nvar heatmapAttrs = _dereq_('../heatmap/attributes');\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nmodule.exports = extendFlat(\n    {\n        x: histogramAttrs.x,\n        y: histogramAttrs.y,\n\n        z: {\n            valType: 'data_array',\n            editType: 'calc',\n            \n        },\n        marker: {\n            color: {\n                valType: 'data_array',\n                editType: 'calc',\n                \n            },\n            editType: 'calc'\n        },\n\n        histnorm: histogramAttrs.histnorm,\n        histfunc: histogramAttrs.histfunc,\n        nbinsx: histogramAttrs.nbinsx,\n        xbins: makeBinAttrs('x'),\n        nbinsy: histogramAttrs.nbinsy,\n        ybins: makeBinAttrs('y'),\n        autobinx: histogramAttrs.autobinx,\n        autobiny: histogramAttrs.autobiny,\n\n        xgap: heatmapAttrs.xgap,\n        ygap: heatmapAttrs.ygap,\n        zsmooth: heatmapAttrs.zsmooth,\n        zhoverformat: heatmapAttrs.zhoverformat\n    },\n    colorscaleAttrs('', {\n        cLetter: 'z',\n        autoColorDflt: false\n    }),\n    { colorbar: colorbarAttrs }\n);\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../heatmap/attributes\":946,\"../histogram/attributes\":965,\"../histogram/bin_attributes\":967}],978:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nvar binFunctions = _dereq_('../histogram/bin_functions');\nvar normFunctions = _dereq_('../histogram/norm_functions');\nvar doAvg = _dereq_('../histogram/average');\nvar getBinSpanLabelRound = _dereq_('../histogram/bin_label_vals');\n\n\nmodule.exports = function calc(gd, trace) {\n    var xa = Axes.getFromId(gd, trace.xaxis || 'x');\n    var x = trace.x ? xa.makeCalcdata(trace, 'x') : [];\n    var ya = Axes.getFromId(gd, trace.yaxis || 'y');\n    var y = trace.y ? ya.makeCalcdata(trace, 'y') : [];\n    var xcalendar = trace.xcalendar;\n    var ycalendar = trace.ycalendar;\n    var xr2c = function(v) { return xa.r2c(v, 0, xcalendar); };\n    var yr2c = function(v) { return ya.r2c(v, 0, ycalendar); };\n    var xc2r = function(v) { return xa.c2r(v, 0, xcalendar); };\n    var yc2r = function(v) { return ya.c2r(v, 0, ycalendar); };\n\n    var i, j, n, m;\n\n    var serieslen = trace._length;\n    if(x.length > serieslen) x.splice(serieslen, x.length - serieslen);\n    if(y.length > serieslen) y.splice(serieslen, y.length - serieslen);\n\n    // calculate the bins\n    doAutoBin(trace, 'x', x, xa, xr2c, xc2r, xcalendar);\n    doAutoBin(trace, 'y', y, ya, yr2c, yc2r, ycalendar);\n\n    // make the empty bin array & scale the map\n    var z = [];\n    var onecol = [];\n    var zerocol = [];\n    var nonuniformBinsX = (typeof(trace.xbins.size) === 'string');\n    var nonuniformBinsY = (typeof(trace.ybins.size) === 'string');\n    var xEdges = [];\n    var yEdges = [];\n    var xbins = nonuniformBinsX ? xEdges : trace.xbins;\n    var ybins = nonuniformBinsY ? yEdges : trace.ybins;\n    var total = 0;\n    var counts = [];\n    var inputPoints = [];\n    var norm = trace.histnorm;\n    var func = trace.histfunc;\n    var densitynorm = (norm.indexOf('density') !== -1);\n    var extremefunc = (func === 'max' || func === 'min');\n    var sizeinit = (extremefunc ? null : 0);\n    var binfunc = binFunctions.count;\n    var normfunc = normFunctions[norm];\n    var doavg = false;\n    var xinc = [];\n    var yinc = [];\n\n    // set a binning function other than count?\n    // for binning functions: check first for 'z',\n    // then 'mc' in case we had a colored scatter plot\n    // and want to transfer these colors to the 2D histo\n    // TODO: axe this, make it the responsibility of the app changing type? or an impliedEdit?\n    var rawCounterData = ('z' in trace) ?\n        trace.z :\n        (('marker' in trace && Array.isArray(trace.marker.color)) ?\n            trace.marker.color : '');\n    if(rawCounterData && func !== 'count') {\n        doavg = func === 'avg';\n        binfunc = binFunctions[func];\n    }\n\n    // decrease end a little in case of rounding errors\n    var binSpec = trace.xbins,\n        binStart = xr2c(binSpec.start),\n        binEnd = xr2c(binSpec.end) +\n            (binStart - Axes.tickIncrement(binStart, binSpec.size, false, xcalendar)) / 1e6;\n\n    for(i = binStart; i < binEnd; i = Axes.tickIncrement(i, binSpec.size, false, xcalendar)) {\n        onecol.push(sizeinit);\n        xEdges.push(i);\n        if(doavg) zerocol.push(0);\n    }\n    xEdges.push(i);\n\n    var nx = onecol.length;\n    var x0c = xr2c(trace.xbins.start);\n    var dx = (i - x0c) / nx;\n    var x0 = xc2r(x0c + dx / 2);\n\n    binSpec = trace.ybins;\n    binStart = yr2c(binSpec.start);\n    binEnd = yr2c(binSpec.end) +\n        (binStart - Axes.tickIncrement(binStart, binSpec.size, false, ycalendar)) / 1e6;\n\n    for(i = binStart; i < binEnd; i = Axes.tickIncrement(i, binSpec.size, false, ycalendar)) {\n        z.push(onecol.slice());\n        yEdges.push(i);\n        var ipCol = new Array(nx);\n        for(j = 0; j < nx; j++) ipCol[j] = [];\n        inputPoints.push(ipCol);\n        if(doavg) counts.push(zerocol.slice());\n    }\n    yEdges.push(i);\n\n    var ny = z.length;\n    var y0c = yr2c(trace.ybins.start);\n    var dy = (i - y0c) / ny;\n    var y0 = yc2r(y0c + dy / 2);\n\n    if(densitynorm) {\n        xinc = makeIncrements(onecol.length, xbins, dx, nonuniformBinsX);\n        yinc = makeIncrements(z.length, ybins, dy, nonuniformBinsY);\n    }\n\n    // for date axes we need bin bounds to be calcdata. For nonuniform bins\n    // we already have this, but uniform with start/end/size they're still strings.\n    if(!nonuniformBinsX && xa.type === 'date') xbins = binsToCalc(xr2c, xbins);\n    if(!nonuniformBinsY && ya.type === 'date') ybins = binsToCalc(yr2c, ybins);\n\n    // put data into bins\n    var uniqueValsPerX = true;\n    var uniqueValsPerY = true;\n    var xVals = new Array(nx);\n    var yVals = new Array(ny);\n    var xGapLow = Infinity;\n    var xGapHigh = Infinity;\n    var yGapLow = Infinity;\n    var yGapHigh = Infinity;\n    for(i = 0; i < serieslen; i++) {\n        var xi = x[i];\n        var yi = y[i];\n        n = Lib.findBin(xi, xbins);\n        m = Lib.findBin(yi, ybins);\n        if(n >= 0 && n < nx && m >= 0 && m < ny) {\n            total += binfunc(n, i, z[m], rawCounterData, counts[m]);\n            inputPoints[m][n].push(i);\n\n            if(uniqueValsPerX) {\n                if(xVals[n] === undefined) xVals[n] = xi;\n                else if(xVals[n] !== xi) uniqueValsPerX = false;\n            }\n            if(uniqueValsPerY) {\n                if(yVals[n] === undefined) yVals[n] = yi;\n                else if(yVals[n] !== yi) uniqueValsPerY = false;\n            }\n\n            xGapLow = Math.min(xGapLow, xi - xEdges[n]);\n            xGapHigh = Math.min(xGapHigh, xEdges[n + 1] - xi);\n            yGapLow = Math.min(yGapLow, yi - yEdges[m]);\n            yGapHigh = Math.min(yGapHigh, yEdges[m + 1] - yi);\n        }\n    }\n    // normalize, if needed\n    if(doavg) {\n        for(m = 0; m < ny; m++) total += doAvg(z[m], counts[m]);\n    }\n    if(normfunc) {\n        for(m = 0; m < ny; m++) normfunc(z[m], total, xinc, yinc[m]);\n    }\n\n    return {\n        x: x,\n        xRanges: getRanges(xEdges, uniqueValsPerX && xVals, xGapLow, xGapHigh, xa, xcalendar),\n        x0: x0,\n        dx: dx,\n        y: y,\n        yRanges: getRanges(yEdges, uniqueValsPerY && yVals, yGapLow, yGapHigh, ya, ycalendar),\n        y0: y0,\n        dy: dy,\n        z: z,\n        pts: inputPoints\n    };\n};\n\nfunction doAutoBin(trace, axLetter, data, ax, r2c, c2r, calendar) {\n    var binAttr = axLetter + 'bins';\n    var binSpec = trace[binAttr];\n    if(!binSpec) binSpec = trace[binAttr] = {};\n    var inputBinSpec = trace._input[binAttr] || {};\n    var autoBin = trace._autoBin = {};\n\n    // clear out any previously added autobin info\n    if(!inputBinSpec.size) delete binSpec.size;\n    if(inputBinSpec.start === undefined) delete binSpec.start;\n    if(inputBinSpec.end === undefined) delete binSpec.end;\n\n    var autoSize = !binSpec.size;\n    var autoStart = binSpec.start === undefined;\n    var autoEnd = binSpec.end === undefined;\n\n    if(autoSize || autoStart || autoEnd) {\n        var newBinSpec = Axes.autoBin(data, ax, trace['nbins' + axLetter], '2d', calendar, binSpec.size);\n        if(trace.type === 'histogram2dcontour') {\n            // the \"true\" 2nd argument reverses the tick direction (which we can't\n            // just do with a minus sign because of month bins)\n            if(autoStart) {\n                newBinSpec.start = c2r(Axes.tickIncrement(\n                    r2c(newBinSpec.start), newBinSpec.size, true, calendar));\n            }\n            if(autoEnd) {\n                newBinSpec.end = c2r(Axes.tickIncrement(\n                    r2c(newBinSpec.end), newBinSpec.size, false, calendar));\n            }\n        }\n        if(autoSize) binSpec.size = autoBin.size = newBinSpec.size;\n        if(autoStart) binSpec.start = autoBin.start = newBinSpec.start;\n        if(autoEnd) binSpec.end = autoBin.end = newBinSpec.end;\n    }\n\n    // Backward compatibility for one-time autobinning.\n    // autobin: true is handled in cleanData, but autobin: false\n    // needs to be here where we have determined the values.\n    var autoBinAttr = 'autobin' + axLetter;\n    if(trace._input[autoBinAttr] === false) {\n        trace._input[binAttr] = Lib.extendFlat({}, binSpec);\n        delete trace._input[autoBinAttr];\n        delete trace[autoBinAttr];\n    }\n}\n\nfunction makeIncrements(len, bins, dv, nonuniform) {\n    var out = new Array(len);\n    var i;\n    if(nonuniform) {\n        for(i = 0; i < len; i++) out[i] = 1 / (bins[i + 1] - bins[i]);\n    }\n    else {\n        var inc = 1 / dv;\n        for(i = 0; i < len; i++) out[i] = inc;\n    }\n    return out;\n}\n\nfunction binsToCalc(r2c, bins) {\n    return {\n        start: r2c(bins.start),\n        end: r2c(bins.end),\n        size: bins.size\n    };\n}\n\nfunction getRanges(edges, uniqueVals, gapLow, gapHigh, ax, calendar) {\n    var i;\n    var len = edges.length - 1;\n    var out = new Array(len);\n    if(uniqueVals) {\n        for(i = 0; i < len; i++) out[i] = [uniqueVals[i], uniqueVals[i]];\n    }\n    else {\n        var roundFn = getBinSpanLabelRound(gapLow, gapHigh, edges, ax, calendar);\n        for(i = 0; i < len; i++) out[i] = [roundFn(edges[i]), roundFn(edges[i + 1], true)];\n    }\n    return out;\n}\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../histogram/average\":966,\"../histogram/bin_functions\":968,\"../histogram/bin_label_vals\":969,\"../histogram/norm_functions\":976}],979:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\nvar axisIds = _dereq_('../../plots/cartesian/axis_ids');\nvar Lib = _dereq_('../../lib');\n\nvar attributes = _dereq_('./attributes');\n\nvar BINDIRECTIONS = ['x', 'y'];\n\n// Handle bin attrs and relink auto-determined values so fullData is complete\n// does not have cross-trace coupling, but moved out here so we have axis types\n// and relinked trace._autoBin\nmodule.exports = function crossTraceDefaults(fullData, fullLayout) {\n    var i, j, traceOut, binDirection;\n\n    function coerce(attr) {\n        return Lib.coerce(traceOut._input, traceOut, attributes, attr);\n    }\n\n    for(i = 0; i < fullData.length; i++) {\n        traceOut = fullData[i];\n        var type = traceOut.type;\n        if(type !== 'histogram2d' && type !== 'histogram2dcontour') continue;\n\n        for(j = 0; j < BINDIRECTIONS.length; j++) {\n            binDirection = BINDIRECTIONS[j];\n            var binAttr = binDirection + 'bins';\n            var autoBins = (traceOut._autoBin || {})[binDirection] || {};\n            coerce(binAttr + '.start', autoBins.start);\n            coerce(binAttr + '.end', autoBins.end);\n            coerce(binAttr + '.size', autoBins.size);\n\n            cleanBins(traceOut, binDirection, fullLayout, autoBins);\n\n            if(!(traceOut[binAttr] || {}).size) coerce('nbins' + binDirection);\n        }\n    }\n};\n\nfunction cleanBins(trace, binDirection, fullLayout, autoBins) {\n    var ax = fullLayout[axisIds.id2name(trace[binDirection + 'axis'])];\n    var axType = ax.type;\n    var binAttr = binDirection + 'bins';\n    var bins = trace[binAttr];\n    var calendar = trace[binDirection + 'calendar'];\n\n    if(!bins) bins = trace[binAttr] = {};\n\n    var cleanBound = (axType === 'date') ?\n        function(v, dflt) { return (v || v === 0) ? Lib.cleanDate(v, BADNUM, calendar) : dflt; } :\n        function(v, dflt) { return isNumeric(v) ? Number(v) : dflt; };\n\n    bins.start = cleanBound(bins.start, autoBins.start);\n    bins.end = cleanBound(bins.end, autoBins.end);\n\n    // logic for bin size is very similar to dtick (cartesian/tick_value_defaults)\n    // but without the extra string options for log axes\n    // ie the only strings we accept are M<n> for months\n    var sizeDflt = autoBins.size;\n    var binSize = bins.size;\n\n    if(isNumeric(binSize)) {\n        bins.size = (binSize > 0) ? Number(binSize) : sizeDflt;\n    }\n    else if(typeof binSize !== 'string') {\n        bins.size = sizeDflt;\n    }\n    else {\n        // date special case: \"M<n>\" gives bins every (integer) n months\n        var prefix = binSize.charAt(0);\n        var sizeNum = binSize.substr(1);\n\n        sizeNum = isNumeric(sizeNum) ? Number(sizeNum) : 0;\n        if((sizeNum <= 0) || !(\n                axType === 'date' && prefix === 'M' && sizeNum === Math.round(sizeNum)\n            )) {\n            bins.size = sizeDflt;\n        }\n    }\n}\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"../../plots/cartesian/axis_ids\":748,\"./attributes\":977,\"fast-isnumeric\":214}],980:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar handleSampleDefaults = _dereq_('./sample_defaults');\nvar handleStyleDefaults = _dereq_('../heatmap/style_defaults');\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\nvar attributes = _dereq_('./attributes');\n\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    handleSampleDefaults(traceIn, traceOut, coerce, layout);\n    if(traceOut.visible === false) return;\n\n    handleStyleDefaults(traceIn, traceOut, coerce, layout);\n    colorscaleDefaults(\n        traceIn, traceOut, layout, coerce, {prefix: '', cLetter: 'z'}\n    );\n};\n\n},{\"../../components/colorscale/defaults\":580,\"../../lib\":696,\"../heatmap/style_defaults\":960,\"./attributes\":977,\"./sample_defaults\":983}],981:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar heatmapHover = _dereq_('../heatmap/hover');\nvar hoverLabelText = _dereq_('../../plots/cartesian/axes').hoverLabelText;\n\nmodule.exports = function hoverPoints(pointData, xval, yval, hovermode, hoverLayer, contour) {\n    var pts = heatmapHover(pointData, xval, yval, hovermode, hoverLayer, contour);\n\n    if(!pts) return;\n\n    pointData = pts[0];\n    var indices = pointData.index;\n    var ny = indices[0];\n    var nx = indices[1];\n    var cd0 = pointData.cd[0];\n    var xRange = cd0.xRanges[nx];\n    var yRange = cd0.yRanges[ny];\n\n    pointData.xLabel = hoverLabelText(pointData.xa, xRange[0], xRange[1]);\n    pointData.yLabel = hoverLabelText(pointData.ya, yRange[0], yRange[1]);\n\n    return pts;\n};\n\n},{\"../../plots/cartesian/axes\":745,\"../heatmap/hover\":953}],982:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Histogram2D = {};\n\nHistogram2D.attributes = _dereq_('./attributes');\nHistogram2D.supplyDefaults = _dereq_('./defaults');\nHistogram2D.crossTraceDefaults = _dereq_('./cross_trace_defaults');\nHistogram2D.calc = _dereq_('../heatmap/calc');\nHistogram2D.plot = _dereq_('../heatmap/plot');\nHistogram2D.layerName = 'heatmaplayer';\nHistogram2D.colorbar = _dereq_('../heatmap/colorbar');\nHistogram2D.style = _dereq_('../heatmap/style');\nHistogram2D.hoverPoints = _dereq_('./hover');\nHistogram2D.eventData = _dereq_('../histogram/event_data');\n\nHistogram2D.moduleType = 'trace';\nHistogram2D.name = 'histogram2d';\nHistogram2D.basePlotModule = _dereq_('../../plots/cartesian');\nHistogram2D.categories = ['cartesian', 'svg', '2dMap', 'histogram'];\nHistogram2D.meta = {\n    \n    \n};\n\nmodule.exports = Histogram2D;\n\n},{\"../../plots/cartesian\":757,\"../heatmap/calc\":947,\"../heatmap/colorbar\":949,\"../heatmap/plot\":958,\"../heatmap/style\":959,\"../histogram/event_data\":973,\"./attributes\":977,\"./cross_trace_defaults\":979,\"./defaults\":980,\"./hover\":981}],983:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\n\nmodule.exports = function handleSampleDefaults(traceIn, traceOut, coerce, layout) {\n    var x = coerce('x');\n    var y = coerce('y');\n\n    // we could try to accept x0 and dx, etc...\n    // but that's a pretty weird use case.\n    // for now require both x and y explicitly specified.\n    if(!(x && x.length && y && y.length)) {\n        traceOut.visible = false;\n        return;\n    }\n\n    traceOut._length = Math.min(x.length, y.length);\n\n    var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleTraceDefaults');\n    handleCalendarDefaults(traceIn, traceOut, ['x', 'y'], layout);\n\n    // if marker.color is an array, we can use it in aggregation instead of z\n    var hasAggregationData = coerce('z') || coerce('marker.color');\n\n    if(hasAggregationData) coerce('histfunc');\n    coerce('histnorm');\n\n    // Note: bin defaults are now handled in Histogram2D.crossTraceDefaults\n    // autobin(x|y) are only included here to appease Plotly.validate\n    coerce('autobinx');\n    coerce('autobiny');\n};\n\n},{\"../../registry\":828}],984:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar histogram2dAttrs = _dereq_('../histogram2d/attributes');\nvar contourAttrs = _dereq_('../contour/attributes');\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nmodule.exports = extendFlat({\n    x: histogram2dAttrs.x,\n    y: histogram2dAttrs.y,\n    z: histogram2dAttrs.z,\n    marker: histogram2dAttrs.marker,\n\n    histnorm: histogram2dAttrs.histnorm,\n    histfunc: histogram2dAttrs.histfunc,\n    nbinsx: histogram2dAttrs.nbinsx,\n    xbins: histogram2dAttrs.xbins,\n    nbinsy: histogram2dAttrs.nbinsy,\n    ybins: histogram2dAttrs.ybins,\n    autobinx: histogram2dAttrs.autobinx,\n    autobiny: histogram2dAttrs.autobiny,\n\n    autocontour: contourAttrs.autocontour,\n    ncontours: contourAttrs.ncontours,\n    contours: contourAttrs.contours,\n    line: contourAttrs.line,\n    zhoverformat: histogram2dAttrs.zhoverformat\n},\n    colorscaleAttrs('', {\n        cLetter: 'z',\n        editTypeOverride: 'calc'\n    }),\n    { colorbar: colorbarAttrs }\n);\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../contour/attributes\":917,\"../histogram2d/attributes\":977}],985:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar handleSampleDefaults = _dereq_('../histogram2d/sample_defaults');\nvar handleContoursDefaults = _dereq_('../contour/contours_defaults');\nvar handleStyleDefaults = _dereq_('../contour/style_defaults');\nvar attributes = _dereq_('./attributes');\n\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    function coerce2(attr) {\n        return Lib.coerce2(traceIn, traceOut, attributes, attr);\n    }\n\n    handleSampleDefaults(traceIn, traceOut, coerce, layout);\n    if(traceOut.visible === false) return;\n\n    handleContoursDefaults(traceIn, traceOut, coerce, coerce2);\n    handleStyleDefaults(traceIn, traceOut, coerce, layout);\n};\n\n},{\"../../lib\":696,\"../contour/contours_defaults\":924,\"../contour/style_defaults\":938,\"../histogram2d/sample_defaults\":983,\"./attributes\":984}],986:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Histogram2dContour = {};\n\nHistogram2dContour.attributes = _dereq_('./attributes');\nHistogram2dContour.supplyDefaults = _dereq_('./defaults');\nHistogram2dContour.crossTraceDefaults = _dereq_('../histogram2d/cross_trace_defaults');\nHistogram2dContour.calc = _dereq_('../contour/calc');\nHistogram2dContour.plot = _dereq_('../contour/plot').plot;\nHistogram2dContour.layerName = 'contourlayer';\nHistogram2dContour.style = _dereq_('../contour/style');\nHistogram2dContour.colorbar = _dereq_('../contour/colorbar');\nHistogram2dContour.hoverPoints = _dereq_('../contour/hover');\n\nHistogram2dContour.moduleType = 'trace';\nHistogram2dContour.name = 'histogram2dcontour';\nHistogram2dContour.basePlotModule = _dereq_('../../plots/cartesian');\nHistogram2dContour.categories = ['cartesian', 'svg', '2dMap', 'contour', 'histogram', 'showLegend'];\nHistogram2dContour.meta = {\n    \n    \n};\n\nmodule.exports = Histogram2dContour;\n\n},{\"../../plots/cartesian\":757,\"../contour/calc\":918,\"../contour/colorbar\":920,\"../contour/hover\":930,\"../contour/plot\":935,\"../contour/style\":937,\"../histogram2d/cross_trace_defaults\":979,\"./attributes\":984,\"./defaults\":985}],987:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\nvar surfaceAtts = _dereq_('../surface/attributes');\nvar baseAttrs = _dereq_('../../plots/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nmodule.exports = extendFlat({\n    x: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n    y: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n    z: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n\n    i: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    j: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n\n    },\n    k: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n\n    },\n\n    text: {\n        valType: 'string',\n        \n        dflt: '',\n        arrayOk: true,\n        editType: 'calc',\n        \n    },\n\n    delaunayaxis: {\n        valType: 'enumerated',\n        \n        values: [ 'x', 'y', 'z' ],\n        dflt: 'z',\n        editType: 'calc',\n        \n    },\n\n    alphahull: {\n        valType: 'number',\n        \n        dflt: -1,\n        editType: 'calc',\n        \n    },\n\n    intensity: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n\n    // Color field\n    color: {\n        valType: 'color',\n        \n        editType: 'calc',\n        \n    },\n    vertexcolor: {\n        valType: 'data_array',\n        \n        editType: 'calc',\n        \n    },\n    facecolor: {\n        valType: 'data_array',\n        \n        editType: 'calc',\n        \n    },\n    transforms: undefined\n},\n\ncolorscaleAttrs('', {\n    colorAttr: '`intensity`',\n    showScaleDflt: true,\n    editTypeOverride: 'calc'\n}), {\n\n    colorbar: colorbarAttrs,\n\n    opacity: surfaceAtts.opacity,\n\n    // Flat shaded mode\n    flatshading: {\n        valType: 'boolean',\n        \n        dflt: false,\n        editType: 'calc',\n        \n    },\n\n    contour: {\n        show: extendFlat({}, surfaceAtts.contours.x.show, {\n            \n        }),\n        color: surfaceAtts.contours.x.color,\n        width: surfaceAtts.contours.x.width,\n        editType: 'calc'\n    },\n\n    lightposition: {\n        x: extendFlat({}, surfaceAtts.lightposition.x, {dflt: 1e5}),\n        y: extendFlat({}, surfaceAtts.lightposition.y, {dflt: 1e5}),\n        z: extendFlat({}, surfaceAtts.lightposition.z, {dflt: 0}),\n        editType: 'calc'\n    },\n    lighting: extendFlat({\n        vertexnormalsepsilon: {\n            valType: 'number',\n            \n            min: 0.00,\n            max: 1,\n            dflt: 1e-12, // otherwise finely tessellated things eg. the brain will have no specular light reflection\n            editType: 'calc',\n            \n        },\n        facenormalsepsilon: {\n            valType: 'number',\n            \n            min: 0.00,\n            max: 1,\n            dflt: 1e-6, // even the brain model doesn't appear to need finer than this\n            editType: 'calc',\n            \n        },\n        editType: 'calc'\n    }, surfaceAtts.lighting),\n\n    hoverinfo: extendFlat({}, baseAttrs.hoverinfo, {editType: 'calc'})\n});\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plots/attributes\":742,\"../surface/attributes\":1131}],988:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorscaleCalc = _dereq_('../../components/colorscale/calc');\n\nmodule.exports = function calc(gd, trace) {\n    if(trace.intensity) {\n        colorscaleCalc(trace, trace.intensity, '', 'c');\n    }\n};\n\n},{\"../../components/colorscale/calc\":578}],989:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar createMesh = _dereq_('gl-mesh3d');\nvar triangulate = _dereq_('delaunay-triangulate');\nvar alphaShape = _dereq_('alpha-shape');\nvar convexHull = _dereq_('convex-hull');\n\nvar parseColorScale = _dereq_('../../lib/gl_format_color').parseColorScale;\nvar str2RgbaArray = _dereq_('../../lib/str2rgbarray');\nvar zip3 = _dereq_('../../plots/gl3d/zip3');\n\nfunction Mesh3DTrace(scene, mesh, uid) {\n    this.scene = scene;\n    this.uid = uid;\n    this.mesh = mesh;\n    this.name = '';\n    this.color = '#fff';\n    this.data = null;\n    this.showContour = false;\n}\n\nvar proto = Mesh3DTrace.prototype;\n\nproto.handlePick = function(selection) {\n    if(selection.object === this.mesh) {\n        var selectIndex = selection.index = selection.data.index;\n\n        selection.traceCoordinate = [\n            this.data.x[selectIndex],\n            this.data.y[selectIndex],\n            this.data.z[selectIndex]\n        ];\n\n        var text = this.data.text;\n        if(Array.isArray(text) && text[selectIndex] !== undefined) {\n            selection.textLabel = text[selectIndex];\n        } else if(text) {\n            selection.textLabel = text;\n        }\n\n        return true;\n    }\n};\n\nfunction parseColorArray(colors) {\n    return colors.map(str2RgbaArray);\n}\n\nproto.update = function(data) {\n    var scene = this.scene,\n        layout = scene.fullSceneLayout;\n\n    this.data = data;\n\n    // Unpack position data\n    function toDataCoords(axis, coord, scale, calendar) {\n        return coord.map(function(x) {\n            return axis.d2l(x, 0, calendar) * scale;\n        });\n    }\n\n    var positions = zip3(\n        toDataCoords(layout.xaxis, data.x, scene.dataScale[0], data.xcalendar),\n        toDataCoords(layout.yaxis, data.y, scene.dataScale[1], data.ycalendar),\n        toDataCoords(layout.zaxis, data.z, scene.dataScale[2], data.zcalendar));\n\n    var cells;\n    if(data.i && data.j && data.k) {\n        cells = zip3(data.i, data.j, data.k);\n    }\n    else if(data.alphahull === 0) {\n        cells = convexHull(positions);\n    }\n    else if(data.alphahull > 0) {\n        cells = alphaShape(data.alphahull, positions);\n    }\n    else {\n        var d = ['x', 'y', 'z'].indexOf(data.delaunayaxis);\n        cells = triangulate(positions.map(function(c) {\n            return [c[(d + 1) % 3], c[(d + 2) % 3]];\n        }));\n    }\n\n    var config = {\n        positions: positions,\n        cells: cells,\n        lightPosition: [data.lightposition.x, data.lightposition.y, data.lightposition.z],\n        ambient: data.lighting.ambient,\n        diffuse: data.lighting.diffuse,\n        specular: data.lighting.specular,\n        roughness: data.lighting.roughness,\n        fresnel: data.lighting.fresnel,\n        vertexNormalsEpsilon: data.lighting.vertexnormalsepsilon,\n        faceNormalsEpsilon: data.lighting.facenormalsepsilon,\n        opacity: data.opacity,\n        contourEnable: data.contour.show,\n        contourColor: str2RgbaArray(data.contour.color).slice(0, 3),\n        contourWidth: data.contour.width,\n        useFacetNormals: data.flatshading\n    };\n\n    if(data.intensity) {\n        this.color = '#fff';\n        config.vertexIntensity = data.intensity;\n        config.vertexIntensityBounds = [data.cmin, data.cmax];\n        config.colormap = parseColorScale(data.colorscale);\n    }\n    else if(data.vertexcolor) {\n        this.color = data.vertexcolor[0];\n        config.vertexColors = parseColorArray(data.vertexcolor);\n    }\n    else if(data.facecolor) {\n        this.color = data.facecolor[0];\n        config.cellColors = parseColorArray(data.facecolor);\n    }\n    else {\n        this.color = data.color;\n        config.meshColor = str2RgbaArray(data.color);\n    }\n\n    // Update mesh\n    this.mesh.update(config);\n};\n\nproto.dispose = function() {\n    this.scene.glplot.remove(this.mesh);\n    this.mesh.dispose();\n};\n\nfunction createMesh3DTrace(scene, data) {\n    var gl = scene.glplot.gl;\n    var mesh = createMesh({gl: gl});\n    var result = new Mesh3DTrace(scene, mesh, data.uid);\n    mesh._trace = result;\n    result.update(data);\n    scene.glplot.add(mesh);\n    return result;\n}\n\nmodule.exports = createMesh3DTrace;\n\n},{\"../../lib/gl_format_color\":692,\"../../lib/str2rgbarray\":720,\"../../plots/gl3d/zip3\":799,\"alpha-shape\":52,\"convex-hull\":118,\"delaunay-triangulate\":150,\"gl-mesh3d\":268}],990:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    // read in face/vertex properties\n    function readComponents(array) {\n        var ret = array.map(function(attr) {\n            var result = coerce(attr);\n\n            if(result && Lib.isArrayOrTypedArray(result)) return result;\n            return null;\n        });\n\n        return ret.every(function(x) {\n            return x && x.length === ret[0].length;\n        }) && ret;\n    }\n\n    var coords = readComponents(['x', 'y', 'z']);\n    var indices = readComponents(['i', 'j', 'k']);\n\n    if(!coords) {\n        traceOut.visible = false;\n        return;\n    }\n\n    if(indices) {\n        // otherwise, convert all face indices to ints\n        indices.forEach(function(index) {\n            for(var i = 0; i < index.length; ++i) index[i] |= 0;\n        });\n    }\n\n    var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleTraceDefaults');\n    handleCalendarDefaults(traceIn, traceOut, ['x', 'y', 'z'], layout);\n\n    // Coerce remaining properties\n    [\n        'lighting.ambient',\n        'lighting.diffuse',\n        'lighting.specular',\n        'lighting.roughness',\n        'lighting.fresnel',\n        'lighting.vertexnormalsepsilon',\n        'lighting.facenormalsepsilon',\n        'lightposition.x',\n        'lightposition.y',\n        'lightposition.z',\n        'contour.show',\n        'contour.color',\n        'contour.width',\n        'colorscale',\n        'reversescale',\n        'flatshading',\n        'alphahull',\n        'delaunayaxis',\n        'opacity'\n    ].forEach(function(x) { coerce(x); });\n\n    if('intensity' in traceIn) {\n        coerce('intensity');\n        colorscaleDefaults(traceIn, traceOut, layout, coerce, {prefix: '', cLetter: 'c'});\n    } else {\n        traceOut.showscale = false;\n\n        if('facecolor' in traceIn) coerce('facecolor');\n        else if('vertexcolor' in traceIn) coerce('vertexcolor');\n        else coerce('color', defaultColor);\n    }\n\n    coerce('text');\n\n    // disable 1D transforms\n    // x/y/z should match lengths, and i/j/k should match as well, but\n    // the two sets have different lengths so transforms wouldn't work.\n    traceOut._length = null;\n};\n\n},{\"../../components/colorscale/defaults\":580,\"../../lib\":696,\"../../registry\":828,\"./attributes\":987}],991:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Mesh3D = {};\n\nMesh3D.attributes = _dereq_('./attributes');\nMesh3D.supplyDefaults = _dereq_('./defaults');\nMesh3D.calc = _dereq_('./calc');\nMesh3D.colorbar = {\n    min: 'cmin',\n    max: 'cmax'\n};\nMesh3D.plot = _dereq_('./convert');\n\nMesh3D.moduleType = 'trace';\nMesh3D.name = 'mesh3d',\nMesh3D.basePlotModule = _dereq_('../../plots/gl3d');\nMesh3D.categories = ['gl3d'];\nMesh3D.meta = {\n    \n};\n\nmodule.exports = Mesh3D;\n\n},{\"../../plots/gl3d\":788,\"./attributes\":987,\"./calc\":988,\"./convert\":989,\"./defaults\":990}],992:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar extendFlat = _dereq_('../../lib').extendFlat;\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar dash = _dereq_('../../components/drawing/attributes').dash;\nvar fxAttrs = _dereq_('../../components/fx/attributes');\n\nvar INCREASING_COLOR = '#3D9970';\nvar DECREASING_COLOR = '#FF4136';\n\nvar lineAttrs = scatterAttrs.line;\n\nfunction directionAttrs(lineColorDefault) {\n    return {\n        line: {\n            color: extendFlat({}, lineAttrs.color, {dflt: lineColorDefault}),\n            width: lineAttrs.width,\n            dash: dash,\n            editType: 'style'\n        },\n        editType: 'style'\n    };\n}\n\nmodule.exports = {\n\n    x: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n\n    open: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n\n    high: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n\n    low: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n\n    close: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n\n    line: {\n        width: extendFlat({}, lineAttrs.width, {\n            \n        }),\n        dash: extendFlat({}, dash, {\n            \n        }),\n        editType: 'style'\n    },\n\n    increasing: directionAttrs(INCREASING_COLOR),\n\n    decreasing: directionAttrs(DECREASING_COLOR),\n\n    text: {\n        valType: 'string',\n        \n        dflt: '',\n        arrayOk: true,\n        editType: 'calc',\n        \n    },\n\n    tickwidth: {\n        valType: 'number',\n        min: 0,\n        max: 0.5,\n        dflt: 0.3,\n        \n        editType: 'calc',\n        \n    },\n\n    hoverlabel: extendFlat({}, fxAttrs.hoverlabel, {\n        split: {\n            valType: 'boolean',\n            \n            dflt: false,\n            editType: 'style',\n            \n        }\n    }),\n};\n\n},{\"../../components/drawing/attributes\":594,\"../../components/fx/attributes\":604,\"../../lib\":696,\"../scatter/attributes\":1044}],993:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar _ = Lib._;\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nfunction calc(gd, trace) {\n    var xa = Axes.getFromId(gd, trace.xaxis);\n    var ya = Axes.getFromId(gd, trace.yaxis);\n\n    var tickLen = convertTickWidth(gd, xa, trace);\n    var minDiff = trace._minDiff;\n    trace._minDiff = null;\n    var x = trace._xcalc;\n    trace._xcalc = null;\n\n    var cd = calcCommon(gd, trace, x, ya, ptFunc);\n\n    trace._extremes[xa._id] = Axes.findExtremes(xa, x, {vpad: minDiff / 2});\n    if(cd.length) {\n        Lib.extendFlat(cd[0].t, {\n            wHover: minDiff / 2,\n            tickLen: tickLen\n        });\n        return cd;\n    } else {\n        return [{t: {empty: true}}];\n    }\n}\n\nfunction ptFunc(o, h, l, c) {\n    return {\n        o: o,\n        h: h,\n        l: l,\n        c: c\n    };\n}\n\n\n// shared between OHLC and candlestick\n// ptFunc makes a calcdata point specific to each trace type, from oi, hi, li, ci\nfunction calcCommon(gd, trace, x, ya, ptFunc) {\n    var o = ya.makeCalcdata(trace, 'open');\n    var h = ya.makeCalcdata(trace, 'high');\n    var l = ya.makeCalcdata(trace, 'low');\n    var c = ya.makeCalcdata(trace, 'close');\n\n    var hasTextArray = Array.isArray(trace.text);\n\n    // we're optimists - before we have any changing data, assume increasing\n    var increasing = true;\n    var cPrev = null;\n\n    var cd = [];\n    for(var i = 0; i < x.length; i++) {\n        var xi = x[i];\n        var oi = o[i];\n        var hi = h[i];\n        var li = l[i];\n        var ci = c[i];\n\n        if(xi !== BADNUM && oi !== BADNUM && hi !== BADNUM && li !== BADNUM && ci !== BADNUM) {\n            if(ci === oi) {\n                // if open == close, look for a change from the previous close\n                if(cPrev !== null && ci !== cPrev) increasing = ci > cPrev;\n                // else (c === cPrev or cPrev is null) no change\n            }\n            else increasing = ci > oi;\n\n            cPrev = ci;\n\n            var pt = ptFunc(oi, hi, li, ci);\n\n            pt.pos = xi;\n            pt.yc = (oi + ci) / 2;\n            pt.i = i;\n            pt.dir = increasing ? 'increasing' : 'decreasing';\n\n            if(hasTextArray) pt.tx = trace.text[i];\n\n            cd.push(pt);\n        }\n    }\n\n    trace._extremes[ya._id] = Axes.findExtremes(ya, l.concat(h), {padded: true});\n\n    if(cd.length) {\n        cd[0].t = {\n            labels: {\n                open: _(gd, 'open:') + ' ',\n                high: _(gd, 'high:') + ' ',\n                low: _(gd, 'low:') + ' ',\n                close: _(gd, 'close:') + ' '\n            }\n        };\n    }\n\n    return cd;\n}\n\n/*\n * find min x-coordinates difference of all traces\n * attached to this x-axis and stash the result in _minDiff\n * in all traces; when a trace uses this in its\n * calc step it deletes _minDiff, so that next calc this is\n * done again in case the data changed.\n * also since we need it here, stash _xcalc on the trace\n */\nfunction convertTickWidth(gd, xa, trace) {\n    var minDiff = trace._minDiff;\n\n    if(!minDiff) {\n        var fullData = gd._fullData,\n            ohlcTracesOnThisXaxis = [];\n\n        minDiff = Infinity;\n\n        var i;\n\n        for(i = 0; i < fullData.length; i++) {\n            var tracei = fullData[i];\n\n            if(tracei.type === 'ohlc' &&\n                tracei.visible === true &&\n                tracei.xaxis === xa._id\n            ) {\n                ohlcTracesOnThisXaxis.push(tracei);\n\n                var xcalc = xa.makeCalcdata(tracei, 'x');\n                tracei._xcalc = xcalc;\n\n                var _minDiff = Lib.distinctVals(xcalc).minDiff;\n                if(_minDiff && isFinite(_minDiff)) {\n                    minDiff = Math.min(minDiff, _minDiff);\n                }\n            }\n        }\n\n        // if minDiff is still Infinity here, set it to 1\n        if(minDiff === Infinity) minDiff = 1;\n\n        for(i = 0; i < ohlcTracesOnThisXaxis.length; i++) {\n            ohlcTracesOnThisXaxis[i]._minDiff = minDiff;\n        }\n    }\n\n    return minDiff * trace.tickwidth;\n}\n\nmodule.exports = {\n    calc: calc,\n    calcCommon: calcCommon\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"../../plots/cartesian/axes\":745}],994:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar handleOHLC = _dereq_('./ohlc_defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var len = handleOHLC(traceIn, traceOut, coerce, layout);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('line.width');\n    coerce('line.dash');\n\n    handleDirection(traceIn, traceOut, coerce, 'increasing');\n    handleDirection(traceIn, traceOut, coerce, 'decreasing');\n\n    coerce('text');\n    coerce('tickwidth');\n\n    layout._requestRangeslider[traceOut.xaxis] = true;\n};\n\nfunction handleDirection(traceIn, traceOut, coerce, direction) {\n    coerce(direction + '.line.color');\n    coerce(direction + '.line.width', traceOut.line.width);\n    coerce(direction + '.line.dash', traceOut.line.dash);\n}\n\n},{\"../../lib\":696,\"./attributes\":992,\"./ohlc_defaults\":997}],995:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Lib = _dereq_('../../lib');\nvar Fx = _dereq_('../../components/fx');\nvar Color = _dereq_('../../components/color');\nvar fillHoverText = _dereq_('../scatter/fill_hover_text');\n\nvar DIRSYMBOL = {\n    increasing: '▲',\n    decreasing: '▼'\n};\n\nfunction hoverPoints(pointData, xval, yval, hovermode) {\n    var cd = pointData.cd;\n    var trace = cd[0].trace;\n\n    if(trace.hoverlabel.split) {\n        return hoverSplit(pointData, xval, yval, hovermode);\n    }\n\n    return hoverOnPoints(pointData, xval, yval, hovermode);\n}\n\nfunction getClosestPoint(pointData, xval, yval, hovermode) {\n    var cd = pointData.cd;\n    var xa = pointData.xa;\n    var trace = cd[0].trace;\n    var t = cd[0].t;\n\n    var type = trace.type;\n    var minAttr = type === 'ohlc' ? 'l' : 'min';\n    var maxAttr = type === 'ohlc' ? 'h' : 'max';\n\n    var hoverPseudoDistance, spikePseudoDistance;\n\n    // potentially shift xval for grouped candlesticks\n    var centerShift = t.bPos || 0;\n    var shiftPos = function(di) { return di.pos + centerShift - xval; };\n\n    // ohlc and candlestick call displayHalfWidth different things...\n    var displayHalfWidth = t.bdPos || t.tickLen;\n    var hoverHalfWidth = t.wHover;\n\n    // if two figures are overlaying, let the narrowest one win\n    var pseudoDistance = Math.min(1, displayHalfWidth / Math.abs(xa.r2c(xa.range[1]) - xa.r2c(xa.range[0])));\n    hoverPseudoDistance = pointData.maxHoverDistance - pseudoDistance;\n    spikePseudoDistance = pointData.maxSpikeDistance - pseudoDistance;\n\n    function dx(di) {\n        var pos = shiftPos(di);\n        return Fx.inbox(pos - hoverHalfWidth, pos + hoverHalfWidth, hoverPseudoDistance);\n    }\n\n    function dy(di) {\n        return Fx.inbox(di[minAttr] - yval, di[maxAttr] - yval, hoverPseudoDistance);\n    }\n\n    function dxy(di) { return (dx(di) + dy(di)) / 2; }\n\n    var distfn = Fx.getDistanceFunction(hovermode, dx, dy, dxy);\n    Fx.getClosest(cd, distfn, pointData);\n\n    if(pointData.index === false) return null;\n\n    var di = cd[pointData.index];\n    var dir = di.dir;\n    var container = trace[dir];\n    var lc = container.line.color;\n\n    if(Color.opacity(lc) && container.line.width) pointData.color = lc;\n    else pointData.color = container.fillcolor;\n\n    pointData.x0 = xa.c2p(di.pos + centerShift - displayHalfWidth, true);\n    pointData.x1 = xa.c2p(di.pos + centerShift + displayHalfWidth, true);\n\n    pointData.xLabelVal = di.pos;\n\n    pointData.spikeDistance = dxy(di) * spikePseudoDistance / hoverPseudoDistance;\n    pointData.xSpike = xa.c2p(di.pos, true);\n\n    return pointData;\n}\n\nfunction hoverSplit(pointData, xval, yval, hovermode) {\n    var cd = pointData.cd;\n    var ya = pointData.ya;\n    var trace = cd[0].trace;\n    var t = cd[0].t;\n    var closeBoxData = [];\n\n    var closestPoint = getClosestPoint(pointData, xval, yval, hovermode);\n    // skip the rest (for this trace) if we didn't find a close point\n    if(!closestPoint) return [];\n\n    var hoverinfo = trace.hoverinfo;\n    var hoverParts = hoverinfo.split('+');\n    var isAll = hoverinfo === 'all';\n    var hasY = isAll || hoverParts.indexOf('y') !== -1;\n\n    // similar to hoverOnPoints, we return nothing\n    // if all or y is not present.\n    if(!hasY) return [];\n\n    var attrs = ['high', 'open', 'close', 'low'];\n\n    // several attributes can have the same y-coordinate. We will\n    // bunch them together in a single text block. For this, we keep\n    // a dictionary mapping y-coord -> point data.\n    var usedVals = {};\n\n    for(var i = 0; i < attrs.length; i++) {\n        var attr = attrs[i];\n\n        var val = trace[attr][closestPoint.index];\n        var valPx = ya.c2p(val, true);\n        var pointData2;\n        if(val in usedVals) {\n            pointData2 = usedVals[val];\n            pointData2.yLabel += '<br>' + t.labels[attr] + Axes.hoverLabelText(ya, val);\n        }\n        else {\n            // copy out to a new object for each new y-value to label\n            pointData2 = Lib.extendFlat({}, closestPoint);\n\n            pointData2.y0 = pointData2.y1 = valPx;\n            pointData2.yLabelVal = val;\n            pointData2.yLabel = t.labels[attr] + Axes.hoverLabelText(ya, val);\n\n            pointData2.name = '';\n\n            closeBoxData.push(pointData2);\n            usedVals[val] = pointData2;\n        }\n    }\n\n    return closeBoxData;\n}\n\nfunction hoverOnPoints(pointData, xval, yval, hovermode) {\n    var cd = pointData.cd;\n    var ya = pointData.ya;\n    var trace = cd[0].trace;\n    var t = cd[0].t;\n\n    var closestPoint = getClosestPoint(pointData, xval, yval, hovermode);\n    // skip the rest (for this trace) if we didn't find a close point\n    if(!closestPoint) return [];\n\n    // we don't make a calcdata point if we're missing any piece (x/o/h/l/c)\n    // so we need to fix the index here to point to the data arrays\n    var cdIndex = closestPoint.index;\n    var di = cd[cdIndex];\n    var i = closestPoint.index = di.i;\n    var dir = di.dir;\n\n    function getLabelLine(attr) {\n        return t.labels[attr] + Axes.hoverLabelText(ya, trace[attr][i]);\n    }\n\n    var hoverinfo = trace.hoverinfo;\n    var hoverParts = hoverinfo.split('+');\n    var isAll = hoverinfo === 'all';\n    var hasY = isAll || hoverParts.indexOf('y') !== -1;\n    var hasText = isAll || hoverParts.indexOf('text') !== -1;\n\n    var textParts = hasY ? [\n        getLabelLine('open'),\n        getLabelLine('high'),\n        getLabelLine('low'),\n        getLabelLine('close') + '  ' + DIRSYMBOL[dir]\n    ] : [];\n    if(hasText) fillHoverText(di, trace, textParts);\n\n    // don't make .yLabelVal or .text, since we're managing hoverinfo\n    // put it all in .extraText\n    closestPoint.extraText = textParts.join('<br>');\n\n    // this puts the label *and the spike* at the midpoint of the box, ie\n    // halfway between open and close, not between high and low.\n    closestPoint.y0 = closestPoint.y1 = ya.c2p(di.yc, true);\n\n    return [closestPoint];\n}\n\nmodule.exports = {\n    hoverPoints: hoverPoints,\n    hoverSplit: hoverSplit,\n    hoverOnPoints: hoverOnPoints\n};\n\n},{\"../../components/color\":570,\"../../components/fx\":612,\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../scatter/fill_hover_text\":1052}],996:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    moduleType: 'trace',\n    name: 'ohlc',\n    basePlotModule: _dereq_('../../plots/cartesian'),\n    categories: ['cartesian', 'svg', 'showLegend'],\n    meta: {\n        \n    },\n\n    attributes: _dereq_('./attributes'),\n    supplyDefaults: _dereq_('./defaults'),\n    calc: _dereq_('./calc').calc,\n    plot: _dereq_('./plot'),\n    style: _dereq_('./style'),\n    hoverPoints: _dereq_('./hover').hoverPoints,\n    selectPoints: _dereq_('./select')\n};\n\n},{\"../../plots/cartesian\":757,\"./attributes\":992,\"./calc\":993,\"./defaults\":994,\"./hover\":995,\"./plot\":998,\"./select\":999,\"./style\":1000}],997:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\n\n\nmodule.exports = function handleOHLC(traceIn, traceOut, coerce, layout) {\n    var x = coerce('x');\n    var open = coerce('open');\n    var high = coerce('high');\n    var low = coerce('low');\n    var close = coerce('close');\n\n    coerce('hoverlabel.split');\n\n    var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleTraceDefaults');\n    handleCalendarDefaults(traceIn, traceOut, ['x'], layout);\n\n    if(!(open && high && low && close)) return;\n\n    var len = Math.min(open.length, high.length, low.length, close.length);\n\n    if(x) len = Math.min(len, x.length);\n\n    traceOut._length = len;\n\n    return len;\n};\n\n},{\"../../registry\":828}],998:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Lib = _dereq_('../../lib');\n\nmodule.exports = function plot(gd, plotinfo, cdOHLC, ohlcLayer) {\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n\n    Lib.makeTraceGroups(ohlcLayer, cdOHLC, 'trace ohlc').each(function(cd) {\n        var plotGroup = d3.select(this);\n        var cd0 = cd[0];\n        var t = cd0.t;\n        var trace = cd0.trace;\n        if(!plotinfo.isRangePlot) cd0.node3 = plotGroup;\n\n        if(trace.visible !== true || t.empty) {\n            plotGroup.remove();\n            return;\n        }\n\n        var tickLen = t.tickLen;\n\n        var paths = plotGroup.selectAll('path').data(Lib.identity);\n\n        paths.enter().append('path');\n\n        paths.exit().remove();\n\n        paths.attr('d', function(d) {\n            var x = xa.c2p(d.pos, true);\n            var xo = xa.c2p(d.pos - tickLen, true);\n            var xc = xa.c2p(d.pos + tickLen, true);\n\n            var yo = ya.c2p(d.o, true);\n            var yh = ya.c2p(d.h, true);\n            var yl = ya.c2p(d.l, true);\n            var yc = ya.c2p(d.c, true);\n\n            return 'M' + xo + ',' + yo + 'H' + x +\n                'M' + x + ',' + yh + 'V' + yl +\n                'M' + xc + ',' + yc + 'H' + x;\n        });\n    });\n};\n\n},{\"../../lib\":696,\"d3\":148}],999:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function selectPoints(searchInfo, selectionTester) {\n    var cd = searchInfo.cd;\n    var xa = searchInfo.xaxis;\n    var ya = searchInfo.yaxis;\n    var selection = [];\n    var i;\n    // for (potentially grouped) candlesticks\n    var posOffset = cd[0].t.bPos || 0;\n\n    if(selectionTester === false) {\n        // clear selection\n        for(i = 0; i < cd.length; i++) {\n            cd[i].selected = 0;\n        }\n    } else {\n        for(i = 0; i < cd.length; i++) {\n            var di = cd[i];\n\n            if(selectionTester.contains([xa.c2p(di.pos + posOffset), ya.c2p(di.yc)], null, di.i, searchInfo)) {\n                selection.push({\n                    pointNumber: di.i,\n                    x: xa.c2d(di.pos),\n                    y: ya.c2d(di.yc)\n                });\n                di.selected = 1;\n            } else {\n                di.selected = 0;\n            }\n        }\n    }\n\n    return selection;\n};\n\n},{}],1000:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Drawing = _dereq_('../../components/drawing');\nvar Color = _dereq_('../../components/color');\n\nmodule.exports = function style(gd, cd) {\n    var s = cd ? cd[0].node3 : d3.select(gd).selectAll('g.ohlclayer').selectAll('g.trace');\n\n    s.style('opacity', function(d) {\n        return d[0].trace.opacity;\n    });\n\n    s.each(function(d) {\n        var trace = d[0].trace;\n\n        d3.select(this).selectAll('path').each(function(di) {\n            var dirLine = trace[di.dir].line;\n            d3.select(this)\n                .style('fill', 'none')\n                .call(Color.stroke, dirLine.color)\n                .call(Drawing.dashLine, dirLine.dash, dirLine.width)\n                // TODO: custom selection style for OHLC\n                .style('opacity', trace.selectedpoints && !di.selected ? 0.3 : 1);\n        });\n    });\n};\n\n},{\"../../components/color\":570,\"../../components/drawing\":595,\"d3\":148}],1001:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar plotAttrs = _dereq_('../../plots/attributes');\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar colorAttributes = _dereq_('../../components/colorscale/attributes');\nvar domainAttrs = _dereq_('../../plots/domain').attributes;\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar scatterLineAttrs = scatterAttrs.line;\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\n\nvar line = extendFlat({\n    editType: 'calc'\n}, colorAttributes('line', {editType: 'calc'}),\n    {\n        showscale: scatterLineAttrs.showscale,\n        colorbar: colorbarAttrs,\n        shape: {\n            valType: 'enumerated',\n            values: ['linear', 'hspline'],\n            dflt: 'linear',\n            \n            editType: 'plot',\n            \n        }\n    });\n\nmodule.exports = {\n    domain: domainAttrs({name: 'parcats', trace: true, editType: 'calc'}),\n    hoverinfo: extendFlat({}, plotAttrs.hoverinfo, {\n        flags: ['count', 'probability'],\n        editType: 'plot'\n        // plotAttrs.hoverinfo description is appropriate\n    }),\n    hoveron: {\n        valType: 'enumerated',\n        values: ['category', 'color', 'dimension'],\n        dflt: 'category',\n        \n        editType: 'plot',\n        \n    },\n    arrangement: {\n        valType: 'enumerated',\n        values: ['perpendicular', 'freeform', 'fixed'],\n        dflt: 'perpendicular',\n        \n        editType: 'plot',\n        \n    },\n    bundlecolors: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'plot',\n        \n    },\n    sortpaths: {\n        valType: 'enumerated',\n        values: ['forward', 'backward'],\n        dflt: 'forward',\n        \n        editType: 'plot',\n        \n    },\n    labelfont: fontAttrs({\n        editType: 'calc',\n        \n    }),\n\n    tickfont: fontAttrs({\n        editType: 'calc',\n        \n    }),\n\n    dimensions: {\n        _isLinkedToArray: 'dimension',\n        label: {\n            valType: 'string',\n            \n            editType: 'calc',\n            \n        },\n        categoryorder: {\n            valType: 'enumerated',\n            values: [\n                'trace', 'category ascending', 'category descending', 'array'\n            ],\n            dflt: 'trace',\n            \n            editType: 'calc',\n            \n        },\n        categoryarray: {\n            valType: 'data_array',\n            \n            editType: 'calc',\n            \n        },\n        ticktext: {\n            valType: 'data_array',\n            \n            editType: 'calc',\n            \n        },\n        values: {\n            valType: 'data_array',\n            \n            dflt: [],\n            editType: 'calc',\n            \n        },\n        displayindex: {\n            valType: 'integer',\n            \n            editType: 'calc',\n            \n        },\n        editType: 'calc',\n        \n        visible: {\n            valType: 'boolean',\n            dflt: true,\n            \n            editType: 'calc',\n            \n        }\n    },\n\n    line: line,\n    counts: {\n        valType: 'number',\n        min: 0,\n        dflt: 1,\n        arrayOk: true,\n        \n        editType: 'calc',\n        \n    },\n\n    // Hide unsupported top-level properties from plot-schema\n    customdata: undefined,\n    hoverlabel: undefined,\n    ids: undefined,\n    legendgroup: undefined,\n    opacity: undefined,\n    selectedpoints: undefined,\n    showlegend: undefined\n};\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plots/attributes\":742,\"../../plots/domain\":771,\"../../plots/font_attributes\":772,\"../scatter/attributes\":1044}],1002:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar getModuleCalcData = _dereq_('../../plots/get_data').getModuleCalcData;\nvar parcatsPlot = _dereq_('./plot');\n\nvar PARCATS = 'parcats';\nexports.name = PARCATS;\n\nexports.plot = function(gd, traces, transitionOpts, makeOnCompleteCallback) {\n\n    var cdModuleAndOthers = getModuleCalcData(gd.calcdata, PARCATS);\n\n    if(cdModuleAndOthers.length) {\n        var calcData = cdModuleAndOthers[0];\n        parcatsPlot(gd, calcData, transitionOpts, makeOnCompleteCallback);\n    }\n};\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var hadTable = (oldFullLayout._has && oldFullLayout._has('parcats'));\n    var hasTable = (newFullLayout._has && newFullLayout._has('parcats'));\n\n    if(hadTable && !hasTable) {\n        oldFullLayout._paperdiv.selectAll('.parcats').remove();\n    }\n};\n\n},{\"../../plots/get_data\":782,\"./plot\":1007}],1003:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n// Requirements\n// ============\nvar wrap = _dereq_('../../lib/gup').wrap;\nvar hasColorscale = _dereq_('../../components/colorscale/has_colorscale');\nvar colorscaleCalc = _dereq_('../../components/colorscale/calc');\nvar filterUnique = _dereq_('../../lib/filter_unique.js');\nvar Drawing = _dereq_('../../components/drawing');\nvar Lib = _dereq_('../../lib');\n\n/**\n * Create a wrapped ParcatsModel object from trace\n *\n * Note: trace defaults have already been applied\n * @param {Object} gd\n * @param {Object} trace\n * @return {Array.<ParcatsModel>}\n */\nmodule.exports = function calc(gd, trace) {\n    var visibleDims = Lib.filterVisible(trace.dimensions);\n\n    if(visibleDims.length === 0) return [];\n\n    var uniqueInfoDims = visibleDims.map(function(dim) {\n        var categoryValues;\n        if(dim.categoryorder === 'trace') {\n            // Use order of first occurrence in trace\n            categoryValues = null;\n        } else if(dim.categoryorder === 'array') {\n            // Use categories specified in `categoryarray` first,\n            // then add extra to the end in trace order\n            categoryValues = dim.categoryarray;\n        } else {\n            // Get all categories up front so we can order them\n            // Should we check for numbers as sort numerically?\n            categoryValues = filterUnique(dim.values).sort();\n            if(dim.categoryorder === 'category descending') {\n                categoryValues = categoryValues.reverse();\n            }\n        }\n        return getUniqueInfo(dim.values, categoryValues);\n    });\n\n    var counts,\n        count,\n        totalCount;\n    if(Lib.isArrayOrTypedArray(trace.counts)) {\n        counts = trace.counts;\n    } else {\n        counts = [trace.counts];\n    }\n\n    validateDimensionDisplayInds(visibleDims);\n\n    visibleDims.forEach(function(dim, dimInd) {\n        validateCategoryProperties(dim, uniqueInfoDims[dimInd]);\n    });\n\n    // Handle path colors\n    // ------------------\n    var line = trace.line;\n    var markerColorscale;\n\n    // Process colorscale\n    if(line) {\n        if(hasColorscale(trace, 'line')) {\n            colorscaleCalc(trace, trace.line.color, 'line', 'c');\n        }\n        markerColorscale = Drawing.tryColorscale(line);\n    } else {\n        markerColorscale = Lib.identity;\n    }\n\n    // Build color generation function\n    function getMarkerColorInfo(index) {\n        var value;\n        if(Lib.isArrayOrTypedArray(line.color)) {\n            value = line.color[index % line.color.length];\n        } else {\n            value = line.color;\n        }\n\n        return {color: markerColorscale(value), rawColor: value};\n    }\n\n    // Number of values and counts\n    // ---------------------------\n    var numValues = visibleDims[0].values.length;\n\n    // Build path info\n    // ---------------\n    // Mapping from category inds to PathModel objects\n    var pathModels = {};\n\n    // Category inds array for each dimension\n    var categoryIndsDims = uniqueInfoDims.map(function(di) {return di.inds;});\n\n    // Initialize total count\n    totalCount = 0;\n    var valueInd;\n    var d;\n\n    for(valueInd = 0; valueInd < numValues; valueInd++) {\n\n        // Category inds for this input value across dimensions\n        var categoryIndsPath = [];\n        for(d = 0; d < categoryIndsDims.length; d++) {\n            categoryIndsPath.push(categoryIndsDims[d][valueInd]);\n        }\n\n        // Count\n        count = counts[valueInd % counts.length];\n\n        // Update total count\n        totalCount += count;\n\n        // Path color\n        var pathColorInfo = getMarkerColorInfo(valueInd);\n\n        // path key\n        var pathKey = categoryIndsPath + '-' + pathColorInfo.rawColor;\n\n        // Create / Update PathModel\n        if(pathModels[pathKey] === undefined) {\n            pathModels[pathKey] = createPathModel(categoryIndsPath,\n                pathColorInfo.color,\n                pathColorInfo.rawColor);\n        }\n        updatePathModel(pathModels[pathKey], valueInd, count);\n    }\n\n    var dimensionModels = visibleDims.map(function(di, i) {\n        return createDimensionModel(i, di._index, di._displayindex, di.label, totalCount);\n    });\n\n\n    for(valueInd = 0; valueInd < numValues; valueInd++) {\n\n        count = counts[valueInd % counts.length];\n\n        for(d = 0; d < dimensionModels.length; d++) {\n            var containerInd = dimensionModels[d].containerInd;\n            var catInd = uniqueInfoDims[d].inds[valueInd];\n            var cats = dimensionModels[d].categories;\n\n            if(cats[catInd] === undefined) {\n                var catValue = trace.dimensions[containerInd]._categoryarray[catInd];\n                var catLabel = trace.dimensions[containerInd]._ticktext[catInd];\n                cats[catInd] = createCategoryModel(d, catInd, catValue, catLabel);\n            }\n\n            updateCategoryModel(cats[catInd], valueInd, count);\n        }\n    }\n\n    // Compute unique\n    return wrap(createParcatsModel(dimensionModels, pathModels, totalCount));\n};\n\n// Models\n// ======\n\n// Parcats Model\n// -------------\n/**\n * @typedef {Object} ParcatsModel\n *  Object containing calculated information about a parcats trace\n *\n * @property {Array.<DimensionModel>} dimensions\n *  Array of dimension models\n * @property {Object.<string,PathModel>} paths\n *  Dictionary from category inds string (e.g. \"1,2,1,1\") to path model\n * @property {Number} maxCats\n *  The maximum number of categories of any dimension in the diagram\n * @property {Number} count\n *  Total number of input values\n * @property {Object} trace\n */\n\n/**\n * Create and new ParcatsModel object\n * @param {Array.<DimensionModel>} dimensions\n * @param {Object.<string,PathModel>} paths\n * @param {Number} count\n * @return {ParcatsModel}\n */\nfunction createParcatsModel(dimensions, paths, count) {\n    var maxCats = dimensions\n        .map(function(d) {return d.categories.length;})\n        .reduce(function(v1, v2) {return Math.max(v1, v2);});\n    return {dimensions: dimensions, paths: paths, trace: undefined, maxCats: maxCats, count: count};\n}\n\n// Dimension Model\n// ---------------\n/**\n * @typedef {Object} DimensionModel\n *  Object containing calculated information about a single dimension\n *\n * @property {Number} dimensionInd\n *  The index of this dimension among the *visible* dimensions\n * @property {Number} containerInd\n *  The index of this dimension in the original dimensions container,\n *  irrespective of dimension visibility\n * @property {Number} displayInd\n *  The display index of this dimension (where 0 is the left most dimension)\n * @property {String} dimensionLabel\n *  The label of this dimension\n * @property {Number} count\n *  Total number of input values\n * @property {Array.<CategoryModel>} categories\n * @property {Number|null} dragX\n *  The x position of dimension that is currently being dragged. null if not being dragged\n */\n\n/**\n * Create and new DimensionModel object with an empty categories array\n * @param {Number} dimensionInd\n * @param {Number} containerInd\n * @param {Number} displayInd\n * @param {String} dimensionLabel\n * @param {Number} count\n *  Total number of input values\n * @return {DimensionModel}\n */\nfunction createDimensionModel(dimensionInd, containerInd, displayInd, dimensionLabel, count) {\n    return {\n        dimensionInd: dimensionInd,\n        containerInd: containerInd,\n        displayInd: displayInd,\n        dimensionLabel: dimensionLabel,\n        count: count,\n        categories: [],\n        dragX: null\n    };\n}\n\n// Category Model\n// --------------\n/**\n * @typedef {Object} CategoryModel\n *  Object containing calculated information about a single category.\n *\n * @property {Number} dimensionInd\n *  The index of this categories dimension\n * @property {Number} categoryInd\n *  The index of this category\n * @property {Number} displayInd\n *  The display index of this category (where 0 is the topmost category)\n * @property {String} categoryLabel\n *  The name of this category\n * @property categoryValue: Raw value of the category\n * @property {Array} valueInds\n *  Array of indices (into the original value array) of all samples in this category\n * @property {Number} count\n *  The number of elements from the original array in this path\n * @property {Number|null} dragY\n *  The y position of category that is currently being dragged. null if not being dragged\n */\n\n/**\n * Create and return a new CategoryModel object\n * @param {Number} dimensionInd\n * @param {Number} categoryInd\n *  The display index of this category (where 0 is the topmost category)\n * @param {String} categoryValue\n * @param {String} categoryLabel\n * @return {CategoryModel}\n */\nfunction createCategoryModel(dimensionInd, categoryInd, categoryValue, categoryLabel) {\n    return {\n        dimensionInd: dimensionInd,\n        categoryInd: categoryInd,\n        categoryValue: categoryValue,\n        displayInd: categoryInd,\n        categoryLabel: categoryLabel,\n        valueInds: [],\n        count: 0,\n        dragY: null\n    };\n}\n\n/**\n * Update a CategoryModel object with a new value index\n * Note: The calling parameter is modified in place.\n *\n * @param {CategoryModel} categoryModel\n * @param {Number} valueInd\n * @param {Number} count\n */\nfunction updateCategoryModel(categoryModel, valueInd, count) {\n    categoryModel.valueInds.push(valueInd);\n    categoryModel.count += count;\n}\n\n\n// Path Model\n// ----------\n/**\n * @typedef {Object} PathModel\n *  Object containing calculated information about the samples in a path.\n *\n * @property {Array} categoryInds\n *  Array of category indices for each dimension (length `numDimensions`)\n * @param {String} pathColor\n *  Color of this path. (Note: Any colorscaling has already taken place)\n * @property {Array} valueInds\n *  Array of indices (into the original value array) of all samples in this path\n * @property {Number} count\n *  The number of elements from the original array in this path\n * @property {String} color\n *  The path's color (ass CSS color string)\n * @property rawColor\n *  The raw color value specified by the user. May be a CSS color string or a Number\n */\n\n/**\n * Create and return a new PathModel object\n * @param {Array} categoryInds\n * @param color\n * @param rawColor\n * @return {PathModel}\n */\nfunction createPathModel(categoryInds, color, rawColor) {\n    return {\n        categoryInds: categoryInds,\n        color: color,\n        rawColor: rawColor,\n        valueInds: [],\n        count: 0\n    };\n}\n\n/**\n * Update a PathModel object with a new value index\n * Note: The calling parameter is modified in place.\n *\n * @param {PathModel} pathModel\n * @param {Number} valueInd\n * @param {Number} count\n */\nfunction updatePathModel(pathModel, valueInd, count) {\n    pathModel.valueInds.push(valueInd);\n    pathModel.count += count;\n}\n\n// Unique calculations\n// ===================\n/**\n * @typedef {Object} UniqueInfo\n *  Object containing information about the unique values of an input array\n *\n * @property {Array} uniqueValues\n *  The unique values in the input array\n * @property {Array} uniqueCounts\n *  The number of times each entry in uniqueValues occurs in input array.\n *  This has the same length as `uniqueValues`\n * @property {Array} inds\n *  Indices into uniqueValues that would reproduce original input array\n */\n\n/**\n * Compute unique value information for an array\n *\n * IMPORTANT: Note that values are considered unique\n * if their string representations are unique.\n *\n * @param {Array} values\n * @param {Array|undefined} uniqueValues\n *  Array of expected unique values. The uniqueValues property of the resulting UniqueInfo object will begin with\n *  these entries. Entries are included even if there are zero occurrences in the values array. Entries found in\n *  the values array that are not present in uniqueValues will be included at the end of the array in the\n *  UniqueInfo object.\n * @return {UniqueInfo}\n */\nfunction getUniqueInfo(values, uniqueValues) {\n\n    // Initialize uniqueValues if not specified\n    if(uniqueValues === undefined || uniqueValues === null) {\n        uniqueValues = [];\n    } else {\n        // Shallow copy so append below doesn't alter input array\n        uniqueValues = uniqueValues.map(function(e) {return e;});\n    }\n\n    // Initialize Variables\n    var uniqueValueCounts = {},\n        uniqueValueInds = {},\n        inds = [];\n\n    // Initialize uniqueValueCounts and\n    uniqueValues.forEach(function(uniqueVal, valInd) {\n        uniqueValueCounts[uniqueVal] = 0;\n        uniqueValueInds[uniqueVal] = valInd;\n    });\n\n    // Compute the necessary unique info in a single pass\n    for(var i = 0; i < values.length; i++) {\n        var item = values[i];\n        var itemInd;\n\n        if(uniqueValueCounts[item] === undefined) {\n            // This item has a previously unseen value\n            uniqueValueCounts[item] = 1;\n            itemInd = uniqueValues.push(item) - 1;\n            uniqueValueInds[item] = itemInd;\n        } else {\n            // Increment count for this item\n            uniqueValueCounts[item]++;\n            itemInd = uniqueValueInds[item];\n        }\n        inds.push(itemInd);\n    }\n\n    // Build UniqueInfo\n    var uniqueCounts = uniqueValues.map(function(v) { return uniqueValueCounts[v]; });\n\n    return {\n        uniqueValues: uniqueValues,\n        uniqueCounts: uniqueCounts,\n        inds: inds\n    };\n}\n\n\n/**\n * Validate the requested display order for the dimensions.\n * If the display order is a permutation of 0 through dimensions.length - 1, link to _displayindex\n * Otherwise, replace the display order with the dimension order\n * @param {Object} trace\n */\nfunction validateDimensionDisplayInds(visibleDims) {\n    var displayInds = visibleDims.map(function(d) { return d.displayindex; });\n    var i;\n\n    if(isRangePermutation(displayInds)) {\n        for(i = 0; i < visibleDims.length; i++) {\n            visibleDims[i]._displayindex = visibleDims[i].displayindex;\n        }\n    } else {\n        for(i = 0; i < visibleDims.length; i++) {\n            visibleDims[i]._displayindex = i;\n        }\n    }\n}\n\n\n/**\n * Update category properties based on the unique values found for this dimension\n * @param {Object} dim\n * @param {UniqueInfo} uniqueInfoDim\n */\nfunction validateCategoryProperties(dim, uniqueInfoDim) {\n\n    // Update categoryarray\n    dim._categoryarray = uniqueInfoDim.uniqueValues;\n\n    // Handle ticktext\n    if(dim.ticktext === null || dim.ticktext === undefined) {\n        dim._ticktext = [];\n    } else {\n        // Shallow copy to avoid modifying input array\n        dim._ticktext = dim.ticktext.slice();\n    }\n\n    // Extend ticktext with elements from uniqueInfoDim.uniqueValues\n    for(var i = dim._ticktext.length; i < uniqueInfoDim.uniqueValues.length; i++) {\n        dim._ticktext.push(uniqueInfoDim.uniqueValues[i]);\n    }\n}\n\n/**\n * Determine whether an array contains a permutation of the integers from 0 to the array's length - 1\n * @param {Array} inds\n * @return {boolean}\n */\nfunction isRangePermutation(inds) {\n    var indsSpecified = new Array(inds.length);\n\n    for(var i = 0; i < inds.length; i++) {\n        // Check for out of bounds\n        if(inds[i] < 0 || inds[i] >= inds.length) {\n            return false;\n        }\n\n        // Check for collisions with already specified index\n        if(indsSpecified[inds[i]] !== undefined) {\n            return false;\n        }\n\n        indsSpecified[inds[i]] = true;\n    }\n\n    // Nothing out of bounds and no collisions. We have a permutation\n    return true;\n}\n\n},{\"../../components/colorscale/calc\":578,\"../../components/colorscale/has_colorscale\":584,\"../../components/drawing\":595,\"../../lib\":696,\"../../lib/filter_unique.js\":686,\"../../lib/gup\":693}],1004:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar hasColorscale = _dereq_('../../components/colorscale/has_colorscale');\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\nvar handleDomainDefaults = _dereq_('../../plots/domain').defaults;\nvar handleArrayContainerDefaults = _dereq_('../../plots/array_container_defaults');\n\nvar attributes = _dereq_('./attributes');\nvar mergeLength = _dereq_('../parcoords/merge_length');\n\nfunction handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce) {\n\n    coerce('line.shape');\n    var lineColor = coerce('line.color', layout.colorway[0]);\n    if(hasColorscale(traceIn, 'line') && Lib.isArrayOrTypedArray(lineColor)) {\n        if(lineColor.length) {\n            coerce('line.colorscale');\n            colorscaleDefaults(traceIn, traceOut, layout, coerce, {prefix: 'line.', cLetter: 'c'});\n            return lineColor.length;\n        }\n        else {\n            traceOut.line.color = defaultColor;\n        }\n    }\n    return Infinity;\n}\n\nfunction dimensionDefaults(dimensionIn, dimensionOut) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(dimensionIn, dimensionOut, attributes.dimensions, attr, dflt);\n    }\n\n    var values = coerce('values');\n    var visible = coerce('visible');\n    if(!(values && values.length)) {\n        visible = dimensionOut.visible = false;\n    }\n\n    if(visible) {\n        // Dimension level\n        coerce('label');\n        coerce('displayindex', dimensionOut._index);\n\n        // Category level\n        var arrayIn = dimensionIn.categoryarray;\n        var isValidArray = (Array.isArray(arrayIn) && arrayIn.length > 0);\n\n        var orderDefault;\n        if(isValidArray) orderDefault = 'array';\n        var order = coerce('categoryorder', orderDefault);\n\n        // coerce 'categoryarray' only in array order case\n        if(order === 'array') {\n            coerce('categoryarray');\n            coerce('ticktext');\n        } else {\n            delete dimensionIn.categoryarray;\n            delete dimensionIn.ticktext;\n        }\n\n        // cannot set 'categoryorder' to 'array' with an invalid 'categoryarray'\n        if(!isValidArray && order === 'array') {\n            dimensionOut.categoryorder = 'trace';\n        }\n    }\n}\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var dimensions = handleArrayContainerDefaults(traceIn, traceOut, {\n        name: 'dimensions',\n        handleItemDefaults: dimensionDefaults\n    });\n\n    var len = handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n\n    handleDomainDefaults(traceOut, layout, coerce);\n\n    if(!Array.isArray(dimensions) || !dimensions.length) {\n        traceOut.visible = false;\n    }\n\n    mergeLength(traceOut, dimensions, 'values', len);\n\n    coerce('hoveron');\n    coerce('arrangement');\n    coerce('bundlecolors');\n    coerce('sortpaths');\n    coerce('counts');\n\n    var labelfontDflt = {\n        family: layout.font.family,\n        size: Math.round(layout.font.size),\n        color: layout.font.color\n    };\n\n    Lib.coerceFont(coerce, 'labelfont', labelfontDflt);\n\n    var categoryfontDefault = {\n        family: layout.font.family,\n        size: Math.round(layout.font.size / 1.2),\n        color: layout.font.color\n    };\n\n    Lib.coerceFont(coerce, 'tickfont', categoryfontDefault);\n};\n\n},{\"../../components/colorscale/defaults\":580,\"../../components/colorscale/has_colorscale\":584,\"../../lib\":696,\"../../plots/array_container_defaults\":741,\"../../plots/domain\":771,\"../parcoords/merge_length\":1016,\"./attributes\":1001}],1005:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Parcats = {};\n\nParcats.attributes = _dereq_('./attributes');\nParcats.supplyDefaults = _dereq_('./defaults');\nParcats.calc = _dereq_('./calc');\nParcats.plot = _dereq_('./plot');\nParcats.colorbar = {\n    container: 'line',\n    min: 'cmin',\n    max: 'cmax'\n};\n\nParcats.moduleType = 'trace';\nParcats.name = 'parcats';\nParcats.basePlotModule = _dereq_('./base_plot');\nParcats.categories = ['noOpacity'];\nParcats.meta = {\n    \n};\n\nmodule.exports = Parcats;\n\n},{\"./attributes\":1001,\"./base_plot\":1002,\"./calc\":1003,\"./defaults\":1004,\"./plot\":1007}],1006:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Plotly = _dereq_('../../plot_api/plot_api');\nvar Fx = _dereq_('../../components/fx');\nvar Lib = _dereq_('../../lib');\nvar Drawing = _dereq_('../../components/drawing');\nvar tinycolor = _dereq_('tinycolor2');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\n\nfunction performPlot(parcatsModels, graphDiv, layout, svg) {\n\n    var viewModels = parcatsModels.map(createParcatsViewModel.bind(0, graphDiv, layout));\n\n    // Get (potentially empty) parcatslayer selection with bound data to single element array\n    var layerSelection = svg.selectAll('g.parcatslayer').data([null]);\n\n    // Initialize single parcatslayer group if it doesn't exist\n    layerSelection.enter()\n        .append('g')\n        .attr('class', 'parcatslayer')\n        .style('pointer-events', 'all');\n\n    // Bind data to children of layerSelection and get reference to traceSelection\n    var traceSelection = layerSelection\n        .selectAll('g.trace.parcats')\n        .data(viewModels, key);\n\n    // Initialize group for each trace/dimensions\n    var traceEnter = traceSelection.enter()\n        .append('g')\n        .attr('class', 'trace parcats');\n\n    // Update properties for each trace\n    traceSelection\n        .attr('transform', function(d) {\n            return 'translate(' + d.x + ', ' + d.y + ')';\n        });\n\n    // Initialize paths group\n    traceEnter\n        .append('g')\n        .attr('class', 'paths');\n\n    // Update paths transform\n    var pathsSelection = traceSelection\n        .select('g.paths');\n\n    // Get paths selection\n    var pathSelection = pathsSelection\n        .selectAll('path.path')\n        .data(function(d) {\n            return d.paths;\n        }, key);\n\n    // Update existing path colors\n    pathSelection\n        .attr('fill', function(d) {\n            return d.model.color;\n        });\n\n    // Create paths\n    var pathSelectionEnter = pathSelection\n        .enter()\n        .append('path')\n        .attr('class', 'path')\n        .attr('stroke-opacity', 0)\n        .attr('fill', function(d) {\n            return d.model.color;\n        })\n        .attr('fill-opacity', 0);\n\n    stylePathsNoHover(pathSelectionEnter);\n\n    // Set path geometry\n    pathSelection\n        .attr('d', function(d) {\n            return d.svgD;\n        });\n\n    // sort paths\n    if(!pathSelectionEnter.empty()) {\n        // Only sort paths if there has been a change.\n        // Otherwise paths are already sorted or a hover operation may be in progress\n        pathSelection.sort(compareRawColor);\n    }\n\n    // Remove any old paths\n    pathSelection.exit().remove();\n\n    // Path hover\n    pathSelection\n        .on('mouseover', mouseoverPath)\n        .on('mouseout', mouseoutPath)\n        .on('click', clickPath);\n\n    // Initialize dimensions group\n    traceEnter.append('g').attr('class', 'dimensions');\n\n    // Update dimensions transform\n    var dimensionsSelection = traceSelection\n        .select('g.dimensions');\n\n    // Get dimension selection\n    var dimensionSelection = dimensionsSelection\n        .selectAll('g.dimension')\n        .data(function(d) {\n            return d.dimensions;\n        }, key);\n\n    // Create dimension groups\n    dimensionSelection.enter()\n        .append('g')\n        .attr('class', 'dimension');\n\n    // Update dimension group transforms\n    dimensionSelection.attr('transform', function(d) {\n        return 'translate(' + d.x + ', 0)';\n    });\n\n    // Remove any old dimensions\n    dimensionSelection.exit().remove();\n\n    // Get category selection\n    var categorySelection = dimensionSelection\n        .selectAll('g.category')\n        .data(function(d) {\n            return d.categories;\n        }, key);\n\n    // Initialize category groups\n    var categoryGroupEnterSelection = categorySelection\n        .enter()\n        .append('g')\n        .attr('class', 'category');\n\n    // Update category transforms\n    categorySelection\n        .attr('transform', function(d) {\n            return 'translate(0, ' + d.y + ')';\n        });\n\n\n    // Initialize rectangle\n    categoryGroupEnterSelection\n        .append('rect')\n        .attr('class', 'catrect')\n        .attr('pointer-events', 'none');\n\n\n    // Update rectangle\n    categorySelection.select('rect.catrect')\n        .attr('fill', 'none')\n        .attr('width', function(d) {\n            return d.width;\n        })\n        .attr('height', function(d) {\n            return d.height;\n        });\n\n    styleCategoriesNoHover(categoryGroupEnterSelection);\n\n    // Initialize color band rects\n    var bandSelection = categorySelection\n        .selectAll('rect.bandrect')\n        .data(\n            /** @param {CategoryViewModel} catViewModel*/\n            function(catViewModel) {\n                return catViewModel.bands;\n            }, key);\n\n    // Raise all update bands to the top so that fading enter/exit bands will be behind\n    bandSelection.each(function() {Lib.raiseToTop(this);});\n\n    // Update band color\n    bandSelection\n        .attr('fill', function(d) {\n            return d.color;\n        });\n\n    var bandsSelectionEnter = bandSelection.enter()\n        .append('rect')\n        .attr('class', 'bandrect')\n        .attr('stroke-opacity', 0)\n        .attr('fill', function(d) {\n            return d.color;\n        })\n        .attr('fill-opacity', 0);\n\n    bandSelection\n        .attr('fill', function(d) {\n            return d.color;\n        })\n        .attr('width', function(d) {\n            return d.width;\n        })\n        .attr('height', function(d) {\n            return d.height;\n        })\n        .attr('y', function(d) {\n            return d.y;\n        })\n        .attr('cursor',\n            /** @param {CategoryBandViewModel} bandModel*/\n            function(bandModel) {\n                if(bandModel.parcatsViewModel.arrangement === 'fixed') {\n                    return 'default';\n                } else if(bandModel.parcatsViewModel.arrangement === 'perpendicular') {\n                    return 'ns-resize';\n                } else {\n                    return 'move';\n                }\n            });\n\n    styleBandsNoHover(bandsSelectionEnter);\n\n    bandSelection.exit().remove();\n\n    // Initialize category label\n    categoryGroupEnterSelection\n        .append('text')\n        .attr('class', 'catlabel')\n        .attr('pointer-events', 'none');\n\n    var paperColor = graphDiv._fullLayout.paper_bgcolor;\n\n    // Update category label\n    categorySelection.select('text.catlabel')\n        .attr('text-anchor',\n            function(d) {\n                if(catInRightDim(d)) {\n                    // Place label to the right of category\n                    return 'start';\n                } else {\n                    // Place label to the left of category\n                    return 'end';\n                }\n            })\n        .attr('alignment-baseline', 'middle')\n\n        .style('text-shadow',\n            paperColor + ' -1px  1px 2px, ' +\n            paperColor + ' 1px  1px 2px, ' +\n            paperColor + '  1px -1px 2px, ' +\n            paperColor + ' -1px -1px 2px')\n        .style('fill', 'rgb(0, 0, 0)')\n        .attr('x',\n            function(d) {\n                if(catInRightDim(d)) {\n                    // Place label to the right of category\n                    return d.width + 5;\n                } else {\n                    // Place label to the left of category\n                    return -5;\n                }\n            })\n        .attr('y', function(d) {\n            return d.height / 2;\n        })\n        .text(function(d) {\n            return d.model.categoryLabel;\n        })\n        .each(\n            /** @param {CategoryViewModel} catModel*/\n            function(catModel) {\n                Drawing.font(d3.select(this), catModel.parcatsViewModel.categorylabelfont);\n                svgTextUtils.convertToTspans(d3.select(this), graphDiv);\n            });\n\n    // Initialize dimension label\n    categoryGroupEnterSelection\n        .append('text')\n        .attr('class', 'dimlabel');\n\n    // Update dimension label\n    categorySelection.select('text.dimlabel')\n        .attr('text-anchor', 'middle')\n        .attr('alignment-baseline', 'baseline')\n        .attr('cursor',\n             /** @param {CategoryViewModel} catModel*/\n            function(catModel) {\n                if(catModel.parcatsViewModel.arrangement === 'fixed') {\n                    return 'default';\n                } else {\n                    return 'ew-resize';\n                }\n            })\n        .attr('x', function(d) {\n            return d.width / 2;\n        })\n        .attr('y', -5)\n        .text(function(d, i) {\n            if(i === 0) {\n                // Add dimension label above topmost category\n                return d.parcatsViewModel.model.dimensions[d.model.dimensionInd].dimensionLabel;\n            } else {\n                return null;\n            }\n        })\n        .each(\n            /** @param {CategoryViewModel} catModel*/\n            function(catModel) {\n                Drawing.font(d3.select(this), catModel.parcatsViewModel.labelfont);\n            });\n\n    // Category hover\n    // categorySelection.select('rect.catrect')\n    categorySelection.selectAll('rect.bandrect')\n        .on('mouseover', mouseoverCategoryBand)\n        .on('mouseout', mouseoutCategory);\n\n    // Remove unused categories\n    categorySelection.exit().remove();\n\n    // Setup drag\n    dimensionSelection.call(d3.behavior.drag()\n        .origin(function(d) {\n            return {x: d.x, y: 0};\n        })\n        .on('dragstart', dragDimensionStart)\n        .on('drag', dragDimension)\n        .on('dragend', dragDimensionEnd));\n\n\n    // Save off selections to view models\n    traceSelection.each(function(d) {\n        d.traceSelection = d3.select(this);\n        d.pathSelection = d3.select(this).selectAll('g.paths').selectAll('path.path');\n        d.dimensionSelection = d3.select(this).selectAll('g.dimensions').selectAll('g.dimension');\n    });\n\n    // Remove any orphan traces\n    traceSelection.exit().remove();\n}\n\n/**\n * Create / update parcat traces\n *\n * @param {Object} graphDiv\n * @param {Object} svg\n * @param {Array.<ParcatsModel>} parcatsModels\n * @param {Layout} layout\n */\nmodule.exports = function(graphDiv, svg, parcatsModels, layout) {\n    performPlot(parcatsModels, graphDiv, layout, svg);\n};\n\n/**\n * Function the returns the key property of an object for use with as D3 join function\n * @param d\n */\nfunction key(d) {\n    return d.key;\n}\n\n /** True if a category view model is in the right-most display dimension\n  * @param {CategoryViewModel} d */\nfunction catInRightDim(d) {\n    var numDims = d.parcatsViewModel.dimensions.length,\n        leftDimInd = d.parcatsViewModel.dimensions[numDims - 1].model.dimensionInd;\n    return d.model.dimensionInd === leftDimInd;\n}\n\n/**\n * @param {PathViewModel} a\n * @param {PathViewModel} b\n */\nfunction compareRawColor(a, b) {\n    if(a.model.rawColor > b.model.rawColor) {\n        return 1;\n    } else if(a.model.rawColor < b.model.rawColor) {\n        return -1;\n    } else {\n        return 0;\n    }\n}\n\n/**\n * Handle path mouseover\n * @param {PathViewModel} d\n */\nfunction mouseoverPath(d) {\n\n    if(!d.parcatsViewModel.dragDimension) {\n        // We're not currently dragging\n\n        if(d.parcatsViewModel.hoverinfoItems.indexOf('skip') === -1) {\n            // hoverinfo is not skip, so we at least style the paths and emit interaction events\n\n            // Raise path to top\n            Lib.raiseToTop(this);\n\n            stylePathsHover(d3.select(this));\n\n            // Emit hover event\n            var points = buildPointsArrayForPath(d);\n            d.parcatsViewModel.graphDiv.emit('plotly_hover', {points: points, event: d3.event});\n\n            // Handle hover label\n            if(d.parcatsViewModel.hoverinfoItems.indexOf('none') === -1) {\n                // hoverinfo is a combination of 'count' and 'probability'\n\n                // Mouse\n                var hoverX = d3.mouse(this)[0];\n\n                // Label\n                var gd = d.parcatsViewModel.graphDiv;\n                var fullLayout = gd._fullLayout;\n                var rootBBox = fullLayout._paperdiv.node().getBoundingClientRect();\n                var graphDivBBox = d.parcatsViewModel.graphDiv.getBoundingClientRect();\n\n                // Find path center in path coordinates\n                var pathCenterX,\n                    pathCenterY,\n                    dimInd;\n\n                for(dimInd = 0; dimInd < (d.leftXs.length - 1); dimInd++) {\n                    if(d.leftXs[dimInd] + d.dimWidths[dimInd] - 2 <= hoverX && hoverX <= d.leftXs[dimInd + 1] + 2) {\n                        var leftDim = d.parcatsViewModel.dimensions[dimInd];\n                        var rightDim = d.parcatsViewModel.dimensions[dimInd + 1];\n                        pathCenterX = (leftDim.x + leftDim.width + rightDim.x) / 2;\n                        pathCenterY = (d.topYs[dimInd] + d.topYs[dimInd + 1] + d.height) / 2;\n                        break;\n                    }\n                }\n\n                // Find path center in root coordinates\n                var hoverCenterX = d.parcatsViewModel.x + pathCenterX;\n                var hoverCenterY = d.parcatsViewModel.y + pathCenterY;\n\n                var textColor = tinycolor.mostReadable(d.model.color, ['black', 'white']);\n\n                // Build hover text\n                var hovertextParts = [];\n                if(d.parcatsViewModel.hoverinfoItems.indexOf('count') !== -1) {\n                    hovertextParts.push(['Count:', d.model.count].join(' '));\n                }\n                if(d.parcatsViewModel.hoverinfoItems.indexOf('probability') !== -1) {\n                    hovertextParts.push(['P:', (d.model.count / d.parcatsViewModel.model.count).toFixed(3)].join(' '));\n                }\n\n                var hovertext = hovertextParts.join('<br>');\n                var mouseX = d3.mouse(gd)[0];\n\n                Fx.loneHover({\n                    x: hoverCenterX - rootBBox.left + graphDivBBox.left,\n                    y: hoverCenterY - rootBBox.top + graphDivBBox.top,\n                    text: hovertext,\n                    color: d.model.color,\n                    borderColor: 'black',\n                    fontFamily: 'Monaco, \"Courier New\", monospace',\n                    fontSize: 10,\n                    fontColor: textColor,\n                    idealAlign: mouseX < hoverCenterX ? 'right' : 'left'\n                }, {\n                    container: fullLayout._hoverlayer.node(),\n                    outerContainer: fullLayout._paper.node(),\n                    gd: gd\n                });\n            }\n        }\n    }\n}\n\n/**\n * Handle path mouseout\n * @param {PathViewModel} d\n */\nfunction mouseoutPath(d) {\n    if(!d.parcatsViewModel.dragDimension) {\n        // We're not currently dragging\n        stylePathsNoHover(d3.select(this));\n\n        // Remove and hover label\n        Fx.loneUnhover(d.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node());\n\n        // Restore path order\n        d.parcatsViewModel.pathSelection.sort(compareRawColor);\n\n        // Emit unhover event\n        if(d.parcatsViewModel.hoverinfoItems.indexOf('skip') === -1) {\n            var points = buildPointsArrayForPath(d);\n            d.parcatsViewModel.graphDiv.emit('plotly_unhover', {points: points, event: d3.event});\n        }\n    }\n}\n\n/**\n * Build array of point objects for a path\n *\n * For use in click/hover events\n * @param {PathViewModel} d\n */\nfunction buildPointsArrayForPath(d) {\n    var points = [];\n    var curveNumber = getTraceIndex(d.parcatsViewModel);\n\n    for(var i = 0; i < d.model.valueInds.length; i++) {\n        var pointNumber = d.model.valueInds[i];\n        points.push({\n            curveNumber: curveNumber,\n            pointNumber: pointNumber\n        });\n    }\n    return points;\n}\n\n/**\n * Handle path click\n * @param {PathViewModel} d\n */\nfunction clickPath(d) {\n    if(d.parcatsViewModel.hoverinfoItems.indexOf('skip') === -1) {\n        // hoverinfo it's skip, so interaction events aren't disabled\n        var points = buildPointsArrayForPath(d);\n        d.parcatsViewModel.graphDiv.emit('plotly_click', {points: points, event: d3.event});\n    }\n}\n\nfunction stylePathsNoHover(pathSelection) {\n    pathSelection\n        .attr('fill', function(d) {\n            return d.model.color;\n        })\n        .attr('fill-opacity', 0.6)\n        .attr('stroke', 'lightgray')\n        .attr('stroke-width', 0.2)\n        .attr('stroke-opacity', 1.0);\n}\n\nfunction stylePathsHover(pathSelection) {\n    pathSelection\n        .attr('fill-opacity', 0.8)\n        .attr('stroke', function(d) {\n            return tinycolor.mostReadable(d.model.color, ['black', 'white']);\n        })\n        .attr('stroke-width', 0.3);\n}\n\nfunction styleCategoryHover(categorySelection) {\n    categorySelection\n        .select('rect.catrect')\n        .attr('stroke', 'black')\n        .attr('stroke-width', 2.5);\n}\n\nfunction styleCategoriesNoHover(categorySelection) {\n    categorySelection\n        .select('rect.catrect')\n        .attr('stroke', 'black')\n        .attr('stroke-width', 1)\n        .attr('stroke-opacity', 1);\n}\n\nfunction styleBandsHover(bandsSelection) {\n    bandsSelection\n        .attr('stroke', 'black')\n        .attr('stroke-width', 1.5);\n}\n\nfunction styleBandsNoHover(bandsSelection) {\n    bandsSelection\n        .attr('stroke', 'black')\n        .attr('stroke-width', 0.2)\n        .attr('stroke-opacity', 1.0)\n        .attr('fill-opacity', 1.0);\n}\n\n/**\n * Return selection of all paths that pass through the specified category\n * @param {CategoryBandViewModel} catBandViewModel\n */\nfunction selectPathsThroughCategoryBandColor(catBandViewModel) {\n\n    var allPaths = catBandViewModel.parcatsViewModel.pathSelection;\n    var dimInd = catBandViewModel.categoryViewModel.model.dimensionInd;\n    var catInd = catBandViewModel.categoryViewModel.model.categoryInd;\n\n    return allPaths\n        .filter(\n            /** @param {PathViewModel} pathViewModel */\n            function(pathViewModel) {\n                return pathViewModel.model.categoryInds[dimInd] === catInd &&\n                    pathViewModel.model.color === catBandViewModel.color;\n            });\n}\n\n\n/**\n * Perform hover styling for all paths that pass though the specified band element's category\n *\n * @param {HTMLElement} bandElement\n *  HTML element for band\n *\n */\nfunction styleForCategoryHovermode(bandElement) {\n\n    // Get all bands in the current category\n    var bandSel = d3.select(bandElement.parentNode).selectAll('rect.bandrect');\n\n    // Raise and style paths\n    bandSel.each(function(bvm) {\n        var paths = selectPathsThroughCategoryBandColor(bvm);\n        stylePathsHover(paths);\n        paths.each(function() {\n            // Raise path to top\n            Lib.raiseToTop(this);\n        });\n    });\n\n    // Style category\n    styleCategoryHover(d3.select(bandElement.parentNode));\n}\n\n/**\n * Perform hover styling for all paths that pass though the category of the specified band element and share the\n * same color\n *\n * @param {HTMLElement} bandElement\n *  HTML element for band\n *\n */\nfunction styleForColorHovermode(bandElement) {\n    var bandViewModel = d3.select(bandElement).datum();\n    var catPaths = selectPathsThroughCategoryBandColor(bandViewModel);\n    stylePathsHover(catPaths);\n    catPaths.each(function() {\n        // Raise path to top\n        Lib.raiseToTop(this);\n    });\n\n    // Style category for drag\n    d3.select(bandElement.parentNode)\n        .selectAll('rect.bandrect')\n        .filter(function(b) {return b.color === bandViewModel.color;})\n        .each(function() {\n            Lib.raiseToTop(this);\n            styleBandsHover(d3.select(this));\n        });\n}\n\n\n/**\n * @param {HTMLElement} bandElement\n *  HTML element for band\n * @param eventName\n *  Event name (plotly_hover or plotly_click)\n * @param event\n *  Mouse Event\n */\nfunction emitPointsEventCategoryHovermode(bandElement, eventName, event) {\n    // Get all bands in the current category\n    var bandViewModel = d3.select(bandElement).datum();\n    var gd = bandViewModel.parcatsViewModel.graphDiv;\n    var bandSel = d3.select(bandElement.parentNode).selectAll('rect.bandrect');\n\n    var points = [];\n    bandSel.each(function(bvm) {\n        var paths = selectPathsThroughCategoryBandColor(bvm);\n        paths.each(function(pathViewModel) {\n            // Extend points array\n            Array.prototype.push.apply(points, buildPointsArrayForPath(pathViewModel));\n        });\n    });\n\n    gd.emit(eventName, {points: points, event: event});\n}\n\n/**\n * @param {HTMLElement} bandElement\n *  HTML element for band\n * @param eventName\n *  Event name (plotly_hover or plotly_click)\n * @param event\n *  Mouse Event\n */\nfunction emitPointsEventColorHovermode(bandElement, eventName, event) {\n    var bandViewModel = d3.select(bandElement).datum();\n    var gd = bandViewModel.parcatsViewModel.graphDiv;\n    var paths = selectPathsThroughCategoryBandColor(bandViewModel);\n\n    var points = [];\n    paths.each(function(pathViewModel) {\n        // Extend points array\n        Array.prototype.push.apply(points, buildPointsArrayForPath(pathViewModel));\n    });\n\n    gd.emit(eventName, {points: points, event: event});\n}\n\n/**\n * Create hover label for a band element's category (for use when hoveron === 'category')\n *\n * @param {ClientRect} rootBBox\n *  Client bounding box for root of figure\n * @param {HTMLElement} bandElement\n *  HTML element for band\n *\n */\nfunction createHoverLabelForCategoryHovermode(rootBBox, bandElement) {\n    // Selections\n    var rectSelection = d3.select(bandElement.parentNode).select('rect.catrect');\n    var rectBoundingBox = rectSelection.node().getBoundingClientRect();\n\n    // Models\n    /** @type {CategoryViewModel} */\n    var catViewModel = rectSelection.datum();\n    var parcatsViewModel = catViewModel.parcatsViewModel;\n    var dimensionModel = parcatsViewModel.model.dimensions[catViewModel.model.dimensionInd];\n\n    // Positions\n    var hoverCenterY = rectBoundingBox.top + rectBoundingBox.height / 2;\n    var hoverCenterX,\n        hoverLabelIdealAlign;\n\n    if(parcatsViewModel.dimensions.length > 1 &&\n        dimensionModel.displayInd === parcatsViewModel.dimensions.length - 1) {\n\n        // right most dimension\n        hoverCenterX = rectBoundingBox.left;\n        hoverLabelIdealAlign = 'left';\n    } else {\n        hoverCenterX = rectBoundingBox.left + rectBoundingBox.width;\n        hoverLabelIdealAlign = 'right';\n    }\n\n    // Hover label text\n    var hoverinfoParts = [];\n    if(catViewModel.parcatsViewModel.hoverinfoItems.indexOf('count') !== -1) {\n        hoverinfoParts.push(['Count:', catViewModel.model.count].join(' '));\n    }\n    if(catViewModel.parcatsViewModel.hoverinfoItems.indexOf('probability') !== -1) {\n        hoverinfoParts.push([\n            'P(' + catViewModel.model.categoryLabel + '):',\n            (catViewModel.model.count / catViewModel.parcatsViewModel.model.count).toFixed(3)].join(' '));\n    }\n\n    var hovertext = hoverinfoParts.join('<br>');\n    return {\n        x: hoverCenterX - rootBBox.left,\n        y: hoverCenterY - rootBBox.top,\n        text: hovertext,\n        color: 'lightgray',\n        borderColor: 'black',\n        fontFamily: 'Monaco, \"Courier New\", monospace',\n        fontSize: 12,\n        fontColor: 'black',\n        idealAlign: hoverLabelIdealAlign\n    };\n}\n\n/**\n * Create hover label for a band element's category (for use when hoveron === 'category')\n *\n * @param {ClientRect} rootBBox\n *  Client bounding box for root of figure\n * @param {HTMLElement} bandElement\n *  HTML element for band\n *\n */\nfunction createHoverLabelForDimensionHovermode(rootBBox, bandElement) {\n\n    var allHoverlabels = [];\n\n    d3.select(bandElement.parentNode.parentNode)\n        .selectAll('g.category')\n        .select('rect.catrect')\n        .each(function() {\n            var bandNode = this;\n            allHoverlabels.push(createHoverLabelForCategoryHovermode(rootBBox, bandNode));\n        });\n\n    return allHoverlabels;\n}\n\n/**\n * Create hover labels for a band element's category (for use when hoveron === 'dimension')\n *\n * @param {ClientRect} rootBBox\n *  Client bounding box for root of figure\n * @param {HTMLElement} bandElement\n *  HTML element for band\n *\n */\nfunction createHoverLabelForColorHovermode(rootBBox, bandElement) {\n\n    var bandBoundingBox = bandElement.getBoundingClientRect();\n\n    // Models\n    /** @type {CategoryBandViewModel} */\n    var bandViewModel = d3.select(bandElement).datum();\n    var catViewModel = bandViewModel.categoryViewModel;\n    var parcatsViewModel = catViewModel.parcatsViewModel;\n    var dimensionModel = parcatsViewModel.model.dimensions[catViewModel.model.dimensionInd];\n\n    // positions\n    var hoverCenterY = bandBoundingBox.y + bandBoundingBox.height / 2;\n\n    var hoverCenterX,\n        hoverLabelIdealAlign;\n    if(parcatsViewModel.dimensions.length > 1 &&\n        dimensionModel.displayInd === parcatsViewModel.dimensions.length - 1) {\n        // right most dimension\n        hoverCenterX = bandBoundingBox.left;\n        hoverLabelIdealAlign = 'left';\n    } else {\n        hoverCenterX = bandBoundingBox.left + bandBoundingBox.width;\n        hoverLabelIdealAlign = 'right';\n    }\n\n    // Labels\n    var catLabel = catViewModel.model.categoryLabel;\n\n    // Counts\n    var totalCount = bandViewModel.parcatsViewModel.model.count;\n\n    var bandColorCount = 0;\n    bandViewModel.categoryViewModel.bands.forEach(function(b) {\n        if(b.color === bandViewModel.color) {\n            bandColorCount += b.count;\n        }\n    });\n\n    var catCount = catViewModel.model.count;\n\n    var colorCount = 0;\n    parcatsViewModel.pathSelection.each(\n        /** @param {PathViewModel} pathViewModel */\n        function(pathViewModel) {\n            if(pathViewModel.model.color === bandViewModel.color) {\n                colorCount += pathViewModel.model.count;\n            }\n        });\n\n    // Hover label text\n    var hoverinfoParts = [];\n    if(catViewModel.parcatsViewModel.hoverinfoItems.indexOf('count') !== -1) {\n        hoverinfoParts.push(['Count:', bandColorCount].join(' '));\n    }\n    if(catViewModel.parcatsViewModel.hoverinfoItems.indexOf('probability') !== -1) {\n        var pColorAndCatLable = 'P(color ∩ ' + catLabel + '): ';\n        var pColorAndCatValue = (bandColorCount / totalCount).toFixed(3);\n        var pColorAndCatRow = pColorAndCatLable + pColorAndCatValue;\n        hoverinfoParts.push(pColorAndCatRow);\n\n        var pCatGivenColorLabel = 'P(' + catLabel + ' | color): ';\n        var pCatGivenColorValue = (bandColorCount / colorCount).toFixed(3);\n        var pCatGivenColorRow = pCatGivenColorLabel + pCatGivenColorValue;\n        hoverinfoParts.push(pCatGivenColorRow);\n\n        var pColorGivenCatLabel = 'P(color | ' + catLabel + '): ';\n        var pColorGivenCatValue = (bandColorCount / catCount).toFixed(3);\n        var pColorGivenCatRow = pColorGivenCatLabel + pColorGivenCatValue;\n        hoverinfoParts.push(pColorGivenCatRow);\n    }\n\n    var hovertext = hoverinfoParts.join('<br>');\n\n    // Compute text color\n    var textColor = tinycolor.mostReadable(bandViewModel.color, ['black', 'white']);\n\n    return {\n        x: hoverCenterX - rootBBox.left,\n        y: hoverCenterY - rootBBox.top,\n        // name: 'NAME',\n        text: hovertext,\n        color: bandViewModel.color,\n        borderColor: 'black',\n        fontFamily: 'Monaco, \"Courier New\", monospace',\n        fontColor: textColor,\n        fontSize: 10,\n        idealAlign: hoverLabelIdealAlign\n    };\n}\n\n/**\n * Handle dimension mouseover\n * @param {CategoryBandViewModel} bandViewModel\n */\nfunction mouseoverCategoryBand(bandViewModel) {\n    if(!bandViewModel.parcatsViewModel.dragDimension) {\n        // We're not currently dragging\n\n        if(bandViewModel.parcatsViewModel.hoverinfoItems.indexOf('skip') === -1) {\n            // hoverinfo is not skip, so we at least style the bands and emit interaction events\n\n            // Mouse\n            var mouseY = d3.mouse(this)[1];\n            if(mouseY < -1) {\n                // Hover is above above the category rectangle (probably the dimension title text)\n                return;\n            }\n\n            var gd = bandViewModel.parcatsViewModel.graphDiv;\n            var fullLayout = gd._fullLayout;\n            var rootBBox = fullLayout._paperdiv.node().getBoundingClientRect();\n            var hoveron = bandViewModel.parcatsViewModel.hoveron;\n\n            /** @type {HTMLElement} */\n            var bandElement = this;\n\n            // Handle style and events\n            if(hoveron === 'color') {\n                styleForColorHovermode(bandElement);\n                emitPointsEventColorHovermode(bandElement, 'plotly_hover', d3.event);\n            } else {\n                styleForCategoryHovermode(bandElement);\n                emitPointsEventCategoryHovermode(bandElement, 'plotly_hover', d3.event);\n            }\n\n            // Handle hover label\n            if(bandViewModel.parcatsViewModel.hoverinfoItems.indexOf('none') === -1) {\n                var hoverItems;\n                if(hoveron === 'category') {\n                    hoverItems = createHoverLabelForCategoryHovermode(rootBBox, bandElement);\n                } else if(hoveron === 'color') {\n                    hoverItems = createHoverLabelForColorHovermode(rootBBox, bandElement);\n                } else if(hoveron === 'dimension') {\n                    hoverItems = createHoverLabelForDimensionHovermode(rootBBox, bandElement);\n                }\n\n                if(hoverItems) {\n                    Fx.multiHovers(hoverItems, {\n                        container: fullLayout._hoverlayer.node(),\n                        outerContainer: fullLayout._paper.node(),\n                        gd: gd\n                    });\n                }\n            }\n        }\n    }\n}\n\n\n/**\n * Handle dimension mouseover\n * @param {CategoryBandViewModel} bandViewModel\n */\nfunction mouseoutCategory(bandViewModel) {\n\n    var parcatsViewModel = bandViewModel.parcatsViewModel;\n\n    if(!parcatsViewModel.dragDimension) {\n        // We're not dragging anything\n\n        // Reset unhovered styles\n        stylePathsNoHover(parcatsViewModel.pathSelection);\n        styleCategoriesNoHover(parcatsViewModel.dimensionSelection.selectAll('g.category'));\n        styleBandsNoHover(parcatsViewModel.dimensionSelection.selectAll('g.category').selectAll('rect.bandrect'));\n\n        // Remove hover label\n        Fx.loneUnhover(parcatsViewModel.graphDiv._fullLayout._hoverlayer.node());\n\n        // Restore path order\n        parcatsViewModel.pathSelection.sort(compareRawColor);\n\n        // Emit unhover event\n        if(parcatsViewModel.hoverinfoItems.indexOf('skip') === -1) {\n\n            var hoveron = bandViewModel.parcatsViewModel.hoveron;\n            var bandElement = this;\n\n            // Handle style and events\n            if(hoveron === 'color') {\n                emitPointsEventColorHovermode(bandElement, 'plotly_unhover', d3.event);\n            } else {\n                emitPointsEventCategoryHovermode(bandElement, 'plotly_unhover', d3.event);\n            }\n        }\n    }\n}\n\n\n/**\n * Handle dimension drag start\n * @param {DimensionViewModel} d\n */\nfunction dragDimensionStart(d) {\n\n    // Check if dragging is supported\n    if(d.parcatsViewModel.arrangement === 'fixed') {\n        return;\n    }\n\n    // Save off initial drag indexes for dimension\n    d.dragDimensionDisplayInd = d.model.displayInd;\n    d.initialDragDimensionDisplayInds = d.parcatsViewModel.model.dimensions.map(function(d) {return d.displayInd;});\n    d.dragHasMoved = false;\n\n    // Check for category hit\n    d.dragCategoryDisplayInd = null;\n    d3.select(this)\n        .selectAll('g.category')\n        .select('rect.catrect')\n        .each(\n            /** @param {CategoryViewModel} catViewModel */\n            function(catViewModel) {\n                var catMouseX = d3.mouse(this)[0];\n                var catMouseY = d3.mouse(this)[1];\n\n\n                if(-2 <= catMouseX && catMouseX <= catViewModel.width + 2 &&\n                    -2 <= catMouseY && catMouseY <= catViewModel.height + 2) {\n\n                    // Save off initial drag indexes for categories\n                    d.dragCategoryDisplayInd = catViewModel.model.displayInd;\n                    d.initialDragCategoryDisplayInds = d.model.categories.map(function(c) {\n                        return c.displayInd;\n                    });\n\n                    // Initialize categories dragY to be the current y position\n                    catViewModel.model.dragY = catViewModel.y;\n\n                    // Raise category\n                    Lib.raiseToTop(this.parentNode);\n\n                    // Get band element\n                    d3.select(this.parentNode)\n                        .selectAll('rect.bandrect')\n                        /** @param {CategoryBandViewModel} bandViewModel */\n                        .each(function(bandViewModel) {\n                            if(bandViewModel.y < catMouseY && catMouseY <= bandViewModel.y + bandViewModel.height) {\n                                d.potentialClickBand = this;\n                            }\n                        });\n                }\n            });\n\n    // Update toplevel drag dimension\n    d.parcatsViewModel.dragDimension = d;\n\n    // Remove hover label if any\n    Fx.loneUnhover(d.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node());\n}\n\n/**\n * Handle dimension drag\n * @param {DimensionViewModel} d\n */\nfunction dragDimension(d) {\n\n    // Check if dragging is supported\n    if(d.parcatsViewModel.arrangement === 'fixed') {\n        return;\n    }\n\n    d.dragHasMoved = true;\n\n    if(d.dragDimensionDisplayInd === null) {\n        return;\n    }\n\n    var dragDimInd = d.dragDimensionDisplayInd,\n        prevDimInd = dragDimInd - 1,\n        nextDimInd = dragDimInd + 1;\n\n    var dragDimension = d.parcatsViewModel\n        .dimensions[dragDimInd];\n\n    // Update category\n    if(d.dragCategoryDisplayInd !== null) {\n\n        var dragCategory = dragDimension.categories[d.dragCategoryDisplayInd];\n\n        // Update dragY by dy\n        dragCategory.model.dragY += d3.event.dy;\n        var categoryY = dragCategory.model.dragY;\n\n        // Check for category drag swaps\n        var catDisplayInd = dragCategory.model.displayInd;\n        var dimCategoryViews = dragDimension.categories;\n\n        var catAbove = dimCategoryViews[catDisplayInd - 1];\n        var catBelow = dimCategoryViews[catDisplayInd + 1];\n\n        // Check for overlap above\n        if(catAbove !== undefined) {\n\n            if(categoryY < (catAbove.y + catAbove.height / 2.0)) {\n\n                // Swap display inds\n                dragCategory.model.displayInd = catAbove.model.displayInd;\n                catAbove.model.displayInd = catDisplayInd;\n            }\n        }\n\n        if(catBelow !== undefined) {\n\n            if((categoryY + dragCategory.height) > (catBelow.y + catBelow.height / 2.0)) {\n\n                // Swap display inds\n                dragCategory.model.displayInd = catBelow.model.displayInd;\n                catBelow.model.displayInd = catDisplayInd;\n            }\n        }\n\n        // Update category drag display index\n        d.dragCategoryDisplayInd = dragCategory.model.displayInd;\n    }\n\n    // Update dimension position\n    if(d.dragCategoryDisplayInd === null || d.parcatsViewModel.arrangement === 'freeform') {\n        dragDimension.model.dragX = d3.event.x;\n\n        // Check for dimension swaps\n        var prevDimension = d.parcatsViewModel.dimensions[prevDimInd];\n        var nextDimension = d.parcatsViewModel.dimensions[nextDimInd];\n\n        if(prevDimension !== undefined) {\n            if(dragDimension.model.dragX < (prevDimension.x + prevDimension.width)) {\n\n                // Swap display inds\n                dragDimension.model.displayInd = prevDimension.model.displayInd;\n                prevDimension.model.displayInd = dragDimInd;\n            }\n        }\n\n        if(nextDimension !== undefined) {\n            if((dragDimension.model.dragX + dragDimension.width) > nextDimension.x) {\n\n                // Swap display inds\n                dragDimension.model.displayInd = nextDimension.model.displayInd;\n                nextDimension.model.displayInd = d.dragDimensionDisplayInd;\n            }\n        }\n\n        // Update drag display index\n        d.dragDimensionDisplayInd = dragDimension.model.displayInd;\n    }\n\n    // Update view models\n    updateDimensionViewModels(d.parcatsViewModel);\n    updatePathViewModels(d.parcatsViewModel);\n\n    // Update svg geometry\n    updateSvgCategories(d.parcatsViewModel);\n    updateSvgPaths(d.parcatsViewModel);\n}\n\n\n/**\n * Handle dimension drag end\n * @param {DimensionViewModel} d\n */\nfunction dragDimensionEnd(d) {\n\n    // Check if dragging is supported\n    if(d.parcatsViewModel.arrangement === 'fixed') {\n        return;\n    }\n\n    if(d.dragDimensionDisplayInd === null) {\n        return;\n    }\n\n    d3.select(this).selectAll('text').attr('font-weight', 'normal');\n\n    // Compute restyle command\n    // -----------------------\n    var restyleData = {};\n    var traceInd = getTraceIndex(d.parcatsViewModel);\n\n    // ### Handle dimension reordering ###\n    var finalDragDimensionDisplayInds = d.parcatsViewModel.model.dimensions.map(function(d) {return d.displayInd;});\n    var anyDimsReordered = d.initialDragDimensionDisplayInds.some(function(initDimDisplay, dimInd) {\n        return initDimDisplay !== finalDragDimensionDisplayInds[dimInd];\n    });\n\n    if(anyDimsReordered) {\n        finalDragDimensionDisplayInds.forEach(function(finalDimDisplay, dimInd) {\n            var containerInd = d.parcatsViewModel.model.dimensions[dimInd].containerInd;\n            restyleData['dimensions[' + containerInd + '].displayindex'] = finalDimDisplay;\n        });\n    }\n\n    // ### Handle category reordering ###\n    var anyCatsReordered = false;\n    if(d.dragCategoryDisplayInd !== null) {\n        var finalDragCategoryDisplayInds = d.model.categories.map(function(c) {\n            return c.displayInd;\n        });\n\n        anyCatsReordered = d.initialDragCategoryDisplayInds.some(function(initCatDisplay, catInd) {\n            return initCatDisplay !== finalDragCategoryDisplayInds[catInd];\n        });\n\n        if(anyCatsReordered) {\n\n            // Sort a shallow copy of the category models by display index\n            var sortedCategoryModels = d.model.categories.slice().sort(\n                function(a, b) { return a.displayInd - b.displayInd; });\n\n            // Get new categoryarray and ticktext values\n            var newCategoryArray = sortedCategoryModels.map(function(v) { return v.categoryValue; });\n            var newCategoryLabels = sortedCategoryModels.map(function(v) { return v.categoryLabel; });\n\n            restyleData['dimensions[' + d.model.containerInd + '].categoryarray'] = [newCategoryArray];\n            restyleData['dimensions[' + d.model.containerInd + '].ticktext'] = [newCategoryLabels];\n            restyleData['dimensions[' + d.model.containerInd + '].categoryorder'] = 'array';\n        }\n    }\n\n    // Handle potential click event\n    // ----------------------------\n    if(d.parcatsViewModel.hoverinfoItems.indexOf('skip') === -1) {\n        if(!d.dragHasMoved && d.potentialClickBand) {\n            if(d.parcatsViewModel.hoveron === 'color') {\n                emitPointsEventColorHovermode(d.potentialClickBand, 'plotly_click', d3.event.sourceEvent);\n            } else {\n                emitPointsEventCategoryHovermode(d.potentialClickBand, 'plotly_click', d3.event.sourceEvent);\n            }\n        }\n    }\n\n    // Nullify drag states\n    // -------------------\n    d.model.dragX = null;\n    if(d.dragCategoryDisplayInd !== null) {\n        var dragCategory = d.parcatsViewModel\n            .dimensions[d.dragDimensionDisplayInd]\n            .categories[d.dragCategoryDisplayInd];\n\n        dragCategory.model.dragY = null;\n        d.dragCategoryDisplayInd = null;\n    }\n\n    d.dragDimensionDisplayInd = null;\n    d.parcatsViewModel.dragDimension = null;\n    d.dragHasMoved = null;\n    d.potentialClickBand = null;\n\n    // Update view models\n    // ------------------\n    updateDimensionViewModels(d.parcatsViewModel);\n    updatePathViewModels(d.parcatsViewModel);\n\n    // Perform transition\n    // ------------------\n    var transition = d3.transition()\n        .duration(300)\n        .ease('cubic-in-out');\n\n    transition\n        .each(function() {\n            updateSvgCategories(d.parcatsViewModel, true);\n            updateSvgPaths(d.parcatsViewModel, true);\n        })\n        .each('end', function() {\n            if(anyDimsReordered || anyCatsReordered) {\n                // Perform restyle if the order of categories or dimensions changed\n                Plotly.restyle(d.parcatsViewModel.graphDiv, restyleData, [traceInd]);\n            }\n        });\n}\n\n/**\n *\n * @param {ParcatsViewModel} parcatsViewModel\n */\nfunction getTraceIndex(parcatsViewModel) {\n    var traceInd;\n    var allTraces = parcatsViewModel.graphDiv._fullData;\n    for(var i = 0; i < allTraces.length; i++) {\n        if(parcatsViewModel.key === allTraces[i].uid) {\n            traceInd = i;\n            break;\n        }\n    }\n    return traceInd;\n}\n\n/** Update the svg paths for view model\n * @param {ParcatsViewModel} parcatsViewModel\n * @param {boolean} hasTransition Whether to update element with transition\n */\nfunction updateSvgPaths(parcatsViewModel, hasTransition) {\n\n    if(hasTransition === undefined) {\n        hasTransition = false;\n    }\n\n    function transition(selection) {\n        return hasTransition ? selection.transition() : selection;\n    }\n\n    // Update binding\n    parcatsViewModel.pathSelection.data(function(d) {\n        return d.paths;\n    }, key);\n\n    // Update paths\n    transition(parcatsViewModel.pathSelection).attr('d', function(d) {\n        return d.svgD;\n    });\n}\n\n/** Update the svg paths for view model\n * @param {ParcatsViewModel} parcatsViewModel\n * @param {boolean} hasTransition Whether to update element with transition\n */\nfunction updateSvgCategories(parcatsViewModel, hasTransition) {\n\n    if(hasTransition === undefined) {\n        hasTransition = false;\n    }\n\n    function transition(selection) {\n        return hasTransition ? selection.transition() : selection;\n    }\n\n    // Update binding\n    parcatsViewModel.dimensionSelection\n        .data(function(d) {\n            return d.dimensions;}, key);\n\n    var categorySelection = parcatsViewModel.dimensionSelection\n        .selectAll('g.category')\n        .data(function(d) {return d.categories;}, key);\n\n    // Update dimension position\n    transition(parcatsViewModel.dimensionSelection)\n        .attr('transform', function(d) {\n            return 'translate(' + d.x + ', 0)';\n        });\n\n    // Update category position\n    transition(categorySelection)\n        .attr('transform', function(d) {\n            return 'translate(0, ' + d.y + ')';\n        });\n\n    var dimLabelSelection = categorySelection.select('.dimlabel');\n\n    // ### Update dimension label\n    // Only the top-most display category should have the dimension label\n    dimLabelSelection\n        .text(function(d, i) {\n            if(i === 0) {\n                // Add dimension label above topmost category\n                return d.parcatsViewModel.model.dimensions[d.model.dimensionInd].dimensionLabel;\n            } else {\n                return null;\n            }\n        });\n\n    // Update category label\n    // Categories in the right-most display dimension have their labels on\n    // the right, all others on the left\n    var catLabelSelection = categorySelection.select('.catlabel');\n    catLabelSelection\n        .attr('text-anchor',\n            function(d) {\n                if(catInRightDim(d)) {\n                    // Place label to the right of category\n                    return 'start';\n                } else {\n                    // Place label to the left of category\n                    return 'end';\n                }\n            })\n        .attr('x',\n            function(d) {\n                if(catInRightDim(d)) {\n                    // Place label to the right of category\n                    return d.width + 5;\n                } else {\n                    // Place label to the left of category\n                    return -5;\n                }\n            })\n        .each(function(d) {\n            // Update attriubutes of <tspan> elements\n            var newX;\n            var newAnchor;\n            if(catInRightDim(d)) {\n                // Place label to the right of category\n                newX = d.width + 5;\n                newAnchor = 'start';\n            } else {\n                // Place label to the left of category\n                newX = -5;\n                newAnchor = 'end';\n            }\n            d3.select(this)\n                .selectAll('tspan')\n                .attr('x', newX)\n                .attr('text-anchor', newAnchor);\n        });\n\n    // Update bands\n    // Initialize color band rects\n    var bandSelection = categorySelection\n        .selectAll('rect.bandrect')\n        .data(\n            /** @param {CategoryViewModel} catViewModel*/\n            function(catViewModel) {\n                return catViewModel.bands;\n            }, key);\n\n    var bandsSelectionEnter = bandSelection.enter()\n        .append('rect')\n        .attr('class', 'bandrect')\n        .attr('cursor', 'move')\n        .attr('stroke-opacity', 0)\n        .attr('fill', function(d) {\n            return d.color;\n        })\n        .attr('fill-opacity', 0);\n\n    bandSelection\n        .attr('fill', function(d) {\n            return d.color;\n        })\n        .attr('width', function(d) {\n            return d.width;\n        })\n        .attr('height', function(d) {\n            return d.height;\n        })\n        .attr('y', function(d) {\n            return d.y;\n        });\n\n    styleBandsNoHover(bandsSelectionEnter);\n\n    // Raise bands to the top\n    bandSelection.each(function() {Lib.raiseToTop(this);});\n\n    // Remove unused bands\n    bandSelection.exit().remove();\n}\n\n/**\n * Create a ParcatsViewModel traces\n * @param {Object} graphDiv\n *  Top-level graph div element\n * @param {Layout} layout\n *  SVG layout object\n * @param {Array.<ParcatsModel>} wrappedParcatsModel\n *  Wrapped ParcatsModel for this trace\n * @return {ParcatsViewModel}\n */\nfunction createParcatsViewModel(graphDiv, layout, wrappedParcatsModel) {\n    // Unwrap model\n    var parcatsModel = wrappedParcatsModel[0];\n\n    // Compute margin\n    var margin = layout.margin || {l: 80, r: 80, t: 100, b: 80};\n\n    // Compute pixel position/extents\n    var trace = parcatsModel.trace,\n        domain = trace.domain,\n        figureWidth = layout.width,\n        figureHeight = layout.height,\n        traceWidth = Math.floor(figureWidth * (domain.x[1] - domain.x[0])),\n        traceHeight = Math.floor(figureHeight * (domain.y[1] - domain.y[0])),\n        traceX = domain.x[0] * figureWidth + margin.l,\n        traceY = layout.height - domain.y[1] * layout.height + margin.t;\n\n    // Handle path shape\n    // -----------------\n    var pathShape = trace.line.shape;\n\n    // Handle hover info\n    // -----------------\n    var hoverinfoItems;\n    if(trace.hoverinfo === 'all') {\n        hoverinfoItems = ['count', 'probability'];\n    } else {\n        hoverinfoItems = trace.hoverinfo.split('+');\n    }\n\n    // Construct parcatsViewModel\n    // --------------------------\n    var parcatsViewModel = {\n        key: trace.uid,\n        model: parcatsModel,\n        x: traceX,\n        y: traceY,\n        width: traceWidth,\n        height: traceHeight,\n        hoveron: trace.hoveron,\n        hoverinfoItems: hoverinfoItems,\n        arrangement: trace.arrangement,\n        bundlecolors: trace.bundlecolors,\n        sortpaths: trace.sortpaths,\n        labelfont: trace.labelfont,\n        categorylabelfont: trace.tickfont,\n        pathShape: pathShape,\n        dragDimension: null,\n        margin: margin,\n        paths: [],\n        dimensions: [],\n        graphDiv: graphDiv,\n        traceSelection: null,\n        pathSelection: null,\n        dimensionSelection: null\n    };\n\n    // Update dimension view models if we have at least 1 dimension\n    if(parcatsModel.dimensions) {\n        updateDimensionViewModels(parcatsViewModel);\n\n        // Update path view models if we have at least 2 dimensions\n        updatePathViewModels(parcatsViewModel);\n    }\n    // Inside a categories view model\n    return parcatsViewModel;\n}\n\n/**\n * Build the SVG string to represents a parallel categories path\n * @param {Array.<Number>} leftXPositions\n *  Array of the x positions of the left edge of each dimension (in display order)\n * @param {Array.<Number>} pathYs\n *  Array of the y positions of the top of the path at each dimension (in display order)\n * @param {Array.<Number>} dimWidths\n *  Array of the widths of each dimension in display order\n * @param {Number} pathHeight\n *  The height of the path in pixels\n * @param {Number} curvature\n *  The curvature factor for the path. 0 results in a straight line and values greater than zero result in curved paths\n * @return {string}\n */\nfunction buildSvgPath(leftXPositions, pathYs, dimWidths, pathHeight, curvature) {\n\n    // Compute the x midpoint of each path segment\n    var xRefPoints1 = [],\n        xRefPoints2 = [],\n        refInterpolator,\n        d;\n\n    for(d = 0; d < dimWidths.length - 1; d++) {\n        refInterpolator = d3.interpolateNumber(dimWidths[d] + leftXPositions[d], leftXPositions[d + 1]);\n        xRefPoints1.push(refInterpolator(curvature));\n        xRefPoints2.push(refInterpolator(1 - curvature));\n    }\n\n    // Move to top of path on left edge of left-most category\n    var svgD = 'M ' + leftXPositions[0] + ',' + pathYs[0];\n\n    // Horizontal line to right edge\n    svgD += 'l' + dimWidths[0] + ',0 ';\n\n    // Horizontal line to right edge\n    for(d = 1; d < dimWidths.length; d++) {\n\n        // Curve to left edge of category\n        svgD += 'C' + xRefPoints1[d - 1] + ',' + pathYs[d - 1] +\n              ' ' + xRefPoints2[d - 1] + ',' + pathYs[d] +\n              ' ' + leftXPositions[d] + ',' + pathYs[d];\n\n        // svgD += 'L' + leftXPositions[d] + ',' + pathYs[d];\n\n        // Horizontal line to right edge\n        svgD += 'l' + dimWidths[d] + ',0 ';\n    }\n\n    // Line down\n    svgD += 'l' + '0,' + pathHeight + ' ';\n\n    // Line to left edge of right-most category\n    svgD += 'l -' + dimWidths[dimWidths.length - 1] + ',0 ';\n\n    for(d = dimWidths.length - 2; d >= 0; d--) {\n\n        // Curve to right edge of category\n        svgD += 'C' + xRefPoints2[d] + ',' + (pathYs[d + 1] + pathHeight) +\n             ' ' + xRefPoints1[d] + ',' + (pathYs[d] + pathHeight) +\n             ' ' + (leftXPositions[d] + dimWidths[d]) + ',' + (pathYs[d] + pathHeight);\n\n        // svgD += 'L' + (leftXPositions[d] + dimWidths[d]) + ',' + (pathYs[d] + pathHeight);\n\n        // Horizontal line to right edge\n        svgD += 'l-' + dimWidths[d] + ',0 ';\n    }\n\n    // Close path\n    svgD += 'Z';\n    return svgD;\n}\n\n/**\n * Update the path view models based on the dimension view models in a ParcatsViewModel\n *\n * @param {ParcatsViewModel} parcatsViewModel\n *  View model for trace\n */\nfunction updatePathViewModels(parcatsViewModel) {\n\n    // Initialize an array of the y position of the top of the next path to be added to each category.\n    //\n    // nextYPositions[d][c] is the y position of the next path through category with index c of dimension with index d\n    var dimensionViewModels = parcatsViewModel.dimensions;\n    var parcatsModel = parcatsViewModel.model;\n    var nextYPositions = dimensionViewModels.map(\n        function(d) {\n            return d.categories.map(\n                function(c) {\n                    return c.y;\n                });\n        });\n\n    // Array from category index to category display index for each true dimension index\n    var catToDisplayIndPerDim = parcatsViewModel.model.dimensions.map(\n        function(d) {\n            return d.categories.map(function(c) {return c.displayInd;});\n        });\n\n    // Array from true dimension index to dimension display index\n    var dimToDisplayInd = parcatsViewModel.model.dimensions.map(function(d) {return d.displayInd;});\n    var displayToDimInd = parcatsViewModel.dimensions.map(function(d) {return d.model.dimensionInd;});\n\n    // Array of the x position of the left edge of the rectangles for each dimension\n    var leftXPositions = dimensionViewModels.map(\n        function(d) {\n            return d.x;\n        });\n\n    // Compute dimension widths\n    var dimWidths = dimensionViewModels.map(function(d) {return d.width;});\n\n    // Build sorted Array of PathModel objects\n    var pathModels = [];\n    for(var p in parcatsModel.paths) {\n        if(parcatsModel.paths.hasOwnProperty(p)) {\n            pathModels.push(parcatsModel.paths[p]);\n        }\n    }\n\n    // Compute category display inds to use for sorting paths\n    function pathDisplayCategoryInds(pathModel) {\n        var dimensionInds = pathModel.categoryInds.map(function(catInd, dimInd) {return catToDisplayIndPerDim[dimInd][catInd];});\n        var displayInds = displayToDimInd.map(function(dimInd) {\n            return dimensionInds[dimInd];\n        });\n        return displayInds;\n    }\n\n    // Sort in ascending order by display index array\n    pathModels.sort(function(v1, v2) {\n\n        // Build display inds for each path\n        var sortArray1 = pathDisplayCategoryInds(v1);\n        var sortArray2 = pathDisplayCategoryInds(v2);\n\n        // Handle path sort order\n        if(parcatsViewModel.sortpaths === 'backward') {\n            sortArray1.reverse();\n            sortArray2.reverse();\n        }\n\n        // Append the first value index of the path to break ties\n        sortArray1.push(v1.valueInds[0]);\n        sortArray2.push(v2.valueInds[0]);\n\n        // Handle color bundling\n        if(parcatsViewModel.bundlecolors) {\n            // Prepend sort array with the raw color value\n            sortArray1.unshift(v1.rawColor);\n            sortArray2.unshift(v2.rawColor);\n        }\n\n        // colors equal, sort by display categories\n        if(sortArray1 < sortArray2) {\n            return -1;\n        }\n        if(sortArray1 > sortArray2) {\n            return 1;\n        }\n\n        return 0;\n    });\n\n    // Create path models\n    var pathViewModels = new Array(pathModels.length),\n        totalCount = dimensionViewModels[0].model.count,\n        totalHeight = dimensionViewModels[0].categories\n            .map(function(c) {\n                return c.height;}).reduce(\n                    function(v1, v2) {return v1 + v2;});\n\n\n    for(var pathNumber = 0; pathNumber < pathModels.length; pathNumber++) {\n        var pathModel = pathModels[pathNumber];\n\n        var pathHeight;\n        if(totalCount > 0) {\n            pathHeight = totalHeight * (pathModel.count / totalCount);\n        } else {\n            pathHeight = 0;\n        }\n\n        // Build path y coords\n        var pathYs = new Array(nextYPositions.length);\n        for(var d = 0; d < pathModel.categoryInds.length; d++) {\n            var catInd = pathModel.categoryInds[d];\n            var catDisplayInd = catToDisplayIndPerDim[d][catInd];\n            var dimDisplayInd = dimToDisplayInd[d];\n\n            // Update next y position\n            pathYs[dimDisplayInd] = nextYPositions[dimDisplayInd][catDisplayInd];\n            nextYPositions[dimDisplayInd][catDisplayInd] += pathHeight;\n\n            // Update category color information\n            var catViewModle = parcatsViewModel.dimensions[dimDisplayInd].categories[catDisplayInd];\n            var numBands = catViewModle.bands.length;\n            var lastCatBand = catViewModle.bands[numBands - 1];\n\n            if(lastCatBand === undefined || pathModel.rawColor !== lastCatBand.rawColor) {\n                // Create a new band\n                var bandY = lastCatBand === undefined ? 0 : lastCatBand.y + lastCatBand.height;\n                catViewModle.bands.push({\n                    key: bandY,\n                    color: pathModel.color,\n                    rawColor: pathModel.rawColor,\n                    height: pathHeight,\n                    width: catViewModle.width,\n                    count: pathModel.count,\n                    y: bandY,\n                    categoryViewModel: catViewModle,\n                    parcatsViewModel: parcatsViewModel\n                });\n            } else {\n                // Extend current band\n                var currentBand = catViewModle.bands[numBands - 1];\n                currentBand.height += pathHeight;\n                currentBand.count += pathModel.count;\n            }\n        }\n\n        // build svg path\n        var svgD;\n        if(parcatsViewModel.pathShape === 'hspline') {\n            svgD = buildSvgPath(leftXPositions, pathYs, dimWidths, pathHeight, 0.5);\n        } else {\n            svgD = buildSvgPath(leftXPositions, pathYs, dimWidths, pathHeight, 0);\n        }\n\n        pathViewModels[pathNumber] = {\n            key: pathModel.valueInds[0],\n            model: pathModel,\n            height: pathHeight,\n            leftXs: leftXPositions,\n            topYs: pathYs,\n            dimWidths: dimWidths,\n            svgD: svgD,\n            parcatsViewModel: parcatsViewModel\n        };\n    }\n\n    parcatsViewModel.paths = pathViewModels;\n\n // * @property key\n // *  Unique key for this model\n // * @property {PathModel} model\n // *  Source path model\n // * @property {Number} height\n // *  Height of this path (pixels)\n // * @property {String} svgD\n // *  SVG path \"d\" attribute string\n}\n\n/**\n * Update the dimension view models based on the dimension models in a ParcatsViewModel\n *\n * @param {ParcatsViewModel} parcatsViewModel\n *  View model for trace\n */\nfunction updateDimensionViewModels(parcatsViewModel) {\n\n    // Compute dimension ordering\n    var dimensionsIndInfo = parcatsViewModel.model.dimensions.map(function(d) {\n        return {displayInd: d.displayInd, dimensionInd: d.dimensionInd};\n    });\n\n    dimensionsIndInfo.sort(function(a, b) {\n        return a.displayInd - b.displayInd;\n    });\n\n    var dimensions = [];\n    for(var displayInd in dimensionsIndInfo) {\n        var dimensionInd = dimensionsIndInfo[displayInd].dimensionInd;\n        var dimModel = parcatsViewModel.model.dimensions[dimensionInd];\n        dimensions.push(createDimensionViewModel(parcatsViewModel, dimModel));\n    }\n\n    parcatsViewModel.dimensions = dimensions;\n}\n\n/**\n * Create a parcats DimensionViewModel\n *\n * @param {ParcatsViewModel} parcatsViewModel\n *  View model for trace\n * @param {DimensionModel} dimensionModel\n * @return {DimensionViewModel}\n */\nfunction createDimensionViewModel(parcatsViewModel, dimensionModel) {\n\n    // Compute dimension x position\n    var categoryLabelPad = 40,\n        dimWidth = 16,\n        numDimensions = parcatsViewModel.model.dimensions.length,\n        displayInd = dimensionModel.displayInd;\n\n    // Compute x coordinate values\n    var dimDx,\n        dimX0,\n        dimX;\n\n    if(numDimensions > 1) {\n        dimDx = (parcatsViewModel.width - 2 * categoryLabelPad - dimWidth) / (numDimensions - 1);\n    } else {\n        dimDx = 0;\n    }\n    dimX0 = categoryLabelPad;\n    dimX = dimX0 + dimDx * displayInd;\n\n    // Compute categories\n    var categories = [],\n        maxCats = parcatsViewModel.model.maxCats,\n        numCats = dimensionModel.categories.length,\n        catSpacing = 8,\n        totalCount = dimensionModel.count,\n        totalHeight = parcatsViewModel.height - catSpacing * (maxCats - 1),\n        nextCatHeight,\n        nextCatModel,\n        nextCat,\n        catInd,\n        catDisplayInd;\n\n    // Compute starting Y offset\n    var nextCatY = (maxCats - numCats) * catSpacing / 2.0;\n\n    // Compute category ordering\n    var categoryIndInfo = dimensionModel.categories.map(function(c) {\n        return {displayInd: c.displayInd, categoryInd: c.categoryInd};\n    });\n\n    categoryIndInfo.sort(function(a, b) {\n        return a.displayInd - b.displayInd;\n    });\n\n    for(catDisplayInd = 0; catDisplayInd < numCats; catDisplayInd++) {\n        catInd = categoryIndInfo[catDisplayInd].categoryInd;\n        nextCatModel = dimensionModel.categories[catInd];\n\n        if(totalCount > 0) {\n            nextCatHeight = (nextCatModel.count / totalCount) * totalHeight;\n        } else {\n            nextCatHeight = 0;\n        }\n\n        nextCat = {\n            key: nextCatModel.valueInds[0],\n            model: nextCatModel,\n            width: dimWidth,\n            height: nextCatHeight,\n            y: nextCatModel.dragY !== null ? nextCatModel.dragY : nextCatY,\n            bands: [],\n            parcatsViewModel: parcatsViewModel\n        };\n\n        nextCatY = nextCatY + nextCatHeight + catSpacing;\n        categories.push(nextCat);\n    }\n\n    return {\n        key: dimensionModel.dimensionInd,\n        x: dimensionModel.dragX !== null ? dimensionModel.dragX : dimX,\n        y: 0,\n        width: dimWidth,\n        model: dimensionModel,\n        categories: categories,\n        parcatsViewModel: parcatsViewModel,\n        dragCategoryDisplayInd: null,\n        dragDimensionDisplayInd: null,\n        initialDragDimensionDisplayInds: null,\n        initialDragCategoryDisplayInds: null,\n        dragHasMoved: null,\n        potentialClickBand: null\n    };\n}\n\n// JSDoc typedefs\n// ==============\n/**\n * @typedef {Object} Layout\n *  Object containing svg layout information\n *\n * @property {Number} width (pixels)\n *  Usable width for Figure (after margins are removed)\n * @property {Number} height (pixels)\n *  Usable height for Figure (after margins are removed)\n * @property {Margin} margin\n *  Margin around the Figure (pixels)\n */\n\n/**\n * @typedef {Object} Margin\n *  Object containing padding information in pixels\n *\n * @property {Number} t\n *  Top margin\n * @property {Number} r\n *  Right margin\n * @property {Number} b\n *  Bottom margin\n * @property {Number} l\n *  Left margin\n */\n\n/**\n * @typedef {Object} Font\n *  Object containing font information\n *\n * @property {Number} size: Font size\n * @property {String} color: Font color\n * @property {String} family: Font family\n */\n\n/**\n * @typedef {Object} ParcatsViewModel\n *  Object containing calculated parcats view information\n *\n *  These are quantities that require Layout information to calculate\n * @property key\n *  Unique key for this model\n * @property {ParcatsModel} model\n *  Source parcats model\n * @property {Array.<DimensionViewModel>} dimensions\n *  Array of dimension view models\n * @property {Number} width\n *  Width for this trace (pixels)\n * @property {Number} height\n *  Height for this trace (pixels)\n * @property {Number} x\n *  X position of this trace with respect to the Figure (pixels)\n * @property {Number} y\n *  Y position of this trace with respect to the Figure (pixels)\n * @property {String} hoveron\n *  Hover interaction mode. One of: 'category', 'color', or 'dimension'\n * @property {Array.<String>} hoverinfoItems\n *  Info to display on hover. Array with a combination of 'counts' and/or 'probabilities', or 'none', or 'skip'\n * @property {String} arrangement\n *  Category arrangement. One of: 'perpendicular', 'freeform', or 'fixed'\n * @property {Boolean} bundlecolors\n *  Whether paths should be sorted so that like colors are bundled together as they pass through categories\n * @property {String} sortpaths\n *  If 'forward' then sort paths based on dimensions from left to right. If 'backward' sort based on dimensions\n *  from right to left\n * @property {Font} labelfont\n *  Font for the dimension labels\n * @property {Font} categorylabelfont\n *  Font for the category labels\n * @property {String} pathShape\n *  The shape of the paths. Either 'linear' or 'hspline'.\n * @property {DimensionViewModel|null} dragDimension\n *  Dimension currently being dragged. Null if no drag in progress\n * @property {Margin} margin\n *  Margin around the Figure\n * @property {Object} graphDiv\n *  Top-level graph div element\n * @property {Object} traceSelection\n *  D3 selection of this view models trace group element\n * @property {Object} pathSelection\n *  D3 selection of this view models path elements\n * @property {Object} dimensionSelection\n *  D3 selection of this view models dimension group element\n */\n\n/**\n * @typedef {Object} DimensionViewModel\n *  Object containing calculated parcats dimension view information\n *\n *  These are quantities that require Layout information to calculate\n * @property key\n *  Unique key for this model\n * @property {DimensionModel} model\n *  Source dimension model\n * @property {Number} x\n *  X position of the center of this dimension with respect to the Figure (pixels)\n * @property {Number} y\n *  Y position of the top of this dimension with respect to the Figure (pixels)\n * @property {Number} width\n *  Width of categories in this dimension (pixels)\n * @property {ParcatsViewModel} parcatsViewModel\n *  The parent trace's view model\n * @property {Array.<CategoryViewModel>} categories\n *  Dimensions category view models\n * @property {Number|null} dragCategoryDisplayInd\n *  Display index of category currently being dragged. null if no category is being dragged\n * @property {Number|null} dragDimensionDisplayInd\n *  Display index of the dimension being dragged. null if no dimension is being dragged\n * @property {Array.<Number>|null} initialDragDimensionDisplayInds\n *  Dimensions display indexes at the beginning of the current drag. null if no dimension is being dragged\n * @property {Array.<Number>|null} initialDragCategoryDisplayInds\n *  Category display indexes for the at the beginning of the current drag. null if no category is being dragged\n * @property {HTMLElement} potentialClickBand\n *  Band under mouse when current drag began. If no drag movement takes place then a click will be emitted for this\n *  band. Null if not drag in progress.\n * @property {Boolean} dragHasMoved\n *  True if there is an active drag and the drag has moved. If drag doesn't move before being ended then\n *  this may be interpreted as a click. Null if no drag in progress\n */\n\n/**\n * @typedef {Object} CategoryViewModel\n *  Object containing calculated parcats category view information\n *\n *  These are quantities that require Layout information to calculate\n * @property key\n *  Unique key for this model\n * @property {CategoryModel} model\n *  Source category model\n * @property {Number} width\n *  Width for this category (pixels)\n * @property {Number} height\n *  Height for this category (pixels)\n * @property {Number} y\n *  Y position of this cateogry with respect to the Figure (pixels)\n * @property {Array.<CategoryBandViewModel>} bands\n *  Array of color bands inside the category\n * @property {ParcatsViewModel} parcatsViewModel\n *  The parent trace's view model\n */\n\n/**\n * @typedef {Object} CategoryBandViewModel\n *  Object containing calculated category band information. A category band is a region inside a category covering\n *  paths of a single color\n *\n * @property key\n *  Unique key for this model\n * @property color\n *  Band color\n * @property rawColor\n *  Raw color value for band\n * @property {Number} width\n *  Band width\n * @property {Number} height\n *  Band height\n * @property {Number} y\n *  Y position of top of the band with respect to the category\n * @property {Number} count\n *  The number of samples represented by the band\n * @property {CategoryViewModel} categoryViewModel\n *  The parent categorie's view model\n * @property {ParcatsViewModel} parcatsViewModel\n *  The parent trace's view model\n */\n\n/**\n * @typedef {Object} PathViewModel\n *  Object containing calculated parcats path view information\n *\n *  These are quantities that require Layout information to calculate\n * @property key\n *  Unique key for this model\n * @property {PathModel} model\n *  Source path model\n * @property {Number} height\n *  Height of this path (pixels)\n * @property {Array.<Number>} leftXs\n *  The x position of the left edge of each display dimension\n * @property {Array.<Number>} topYs\n *  The y position of the top of the path for each display dimension\n * @property {Array.<Number>} dimWidths\n *  The width of each display dimension\n * @property {String} svgD\n *  SVG path \"d\" attribute string\n * @property {ParcatsViewModel} parcatsViewModel\n *  The parent trace's view model\n */\n\n},{\"../../components/drawing\":595,\"../../components/fx\":612,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"../../plot_api/plot_api\":732,\"d3\":148,\"tinycolor2\":514}],1007:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nvar parcats = _dereq_('./parcats');\n\n/**\n * Create / update parcat traces\n *\n * @param {Object} graphDiv\n * @param {Array.<ParcatsModel>} parcatsModels\n */\nmodule.exports = function plot(graphDiv, parcatsModels, transitionOpts, makeOnCompleteCallback) {\n    var fullLayout = graphDiv._fullLayout,\n        svg = fullLayout._paper,\n        size = fullLayout._size;\n\n    parcats(\n        graphDiv,\n        svg,\n        parcatsModels,\n        {\n            width: size.w,\n            height: size.h,\n            margin: {\n                t: size.t,\n                r: size.r,\n                b: size.b,\n                l: size.l\n            }\n        },\n        transitionOpts,\n        makeOnCompleteCallback\n    );\n};\n\n},{\"./parcats\":1006}],1008:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorAttributes = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\nvar axesAttrs = _dereq_('../../plots/cartesian/layout_attributes');\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar domainAttrs = _dereq_('../../plots/domain').attributes;\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\n\nmodule.exports = {\n    domain: domainAttrs({name: 'parcoords', trace: true, editType: 'calc'}),\n\n    hoverlabel: undefined,\n\n    labelfont: fontAttrs({\n        editType: 'calc',\n        \n    }),\n    tickfont: fontAttrs({\n        editType: 'calc',\n        \n    }),\n    rangefont: fontAttrs({\n        editType: 'calc',\n        \n    }),\n\n    dimensions: templatedArray('dimension', {\n        label: {\n            valType: 'string',\n            \n            editType: 'calc',\n            \n        },\n        // TODO: better way to determine ordinal vs continuous axes,\n        // so users can use tickvals/ticktext with a continuous axis.\n        tickvals: extendFlat({}, axesAttrs.tickvals, {editType: 'calc'}),\n        ticktext: extendFlat({}, axesAttrs.ticktext, {editType: 'calc'}),\n        tickformat: {\n            valType: 'string',\n            dflt: '3s',\n            \n            editType: 'calc',\n            \n        },\n        visible: {\n            valType: 'boolean',\n            dflt: true,\n            \n            editType: 'calc',\n            \n        },\n        range: {\n            valType: 'info_array',\n            \n            items: [\n                {valType: 'number', editType: 'calc'},\n                {valType: 'number', editType: 'calc'}\n            ],\n            editType: 'calc',\n            \n        },\n        constraintrange: {\n            valType: 'info_array',\n            \n            freeLength: true,\n            dimensions: '1-2',\n            items: [\n                {valType: 'number', editType: 'calc'},\n                {valType: 'number', editType: 'calc'}\n            ],\n            editType: 'calc',\n            \n        },\n        multiselect: {\n            valType: 'boolean',\n            dflt: true,\n            \n            editType: 'calc',\n            \n        },\n        values: {\n            valType: 'data_array',\n            \n            editType: 'calc',\n            \n        },\n        editType: 'calc',\n        \n    }),\n\n    line: extendFlat(\n        colorAttributes('line', {\n            // the default autocolorscale isn't quite usable for parcoords due to context ambiguity around 0 (grey, off-white)\n            // autocolorscale therefore defaults to false too, to avoid being overridden by the  blue-white-red autocolor palette\n            colorscaleDflt: 'Viridis',\n            autoColorDflt: false,\n            editTypeOverride: 'calc'\n        }), {\n            colorbar: colorbarAttrs,\n            editType: 'calc'\n        })\n};\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plot_api/plot_template\":735,\"../../plots/cartesian/layout_attributes\":758,\"../../plots/domain\":771,\"../../plots/font_attributes\":772}],1009:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar c = _dereq_('./constants');\nvar d3 = _dereq_('d3');\nvar keyFun = _dereq_('../../lib/gup').keyFun;\nvar repeat = _dereq_('../../lib/gup').repeat;\nvar sortAsc = _dereq_('../../lib').sorterAsc;\n\nvar snapRatio = c.bar.snapRatio;\nfunction snapOvershoot(v, vAdjacent) { return v * (1 - snapRatio) + vAdjacent * snapRatio; }\n\nvar snapClose = c.bar.snapClose;\nfunction closeToCovering(v, vAdjacent) { return v * (1 - snapClose) + vAdjacent * snapClose; }\n\n// snap for the low end of a range on an ordinal scale\n// on an ordinal scale, always show some overshoot from the exact value,\n// so it's clear we're covering it\n// find the interval we're in, and snap to 1/4 the distance to the next\n// these two could be unified at a slight loss of readability / perf\nfunction ordinalScaleSnapLo(a, v, existingRanges) {\n    if(overlappingExisting(v, existingRanges)) return v;\n\n    var aPrev = a[0];\n    var aPrevPrev = aPrev;\n    for(var i = 1; i < a.length; i++) {\n        var aNext = a[i];\n\n        // very close to the previous - snap down to it\n        if(v < closeToCovering(aPrev, aNext)) return snapOvershoot(aPrev, aPrevPrev);\n        if(v < aNext || i === a.length - 1) return snapOvershoot(aNext, aPrev);\n\n        aPrevPrev = aPrev;\n        aPrev = aNext;\n    }\n}\n\nfunction ordinalScaleSnapHi(a, v, existingRanges) {\n    if(overlappingExisting(v, existingRanges)) return v;\n\n    var aPrev = a[a.length - 1];\n    var aPrevPrev = aPrev;\n    for(var i = a.length - 2; i >= 0; i--) {\n        var aNext = a[i];\n\n        // very close to the previous - snap down to it\n        if(v > closeToCovering(aPrev, aNext)) return snapOvershoot(aPrev, aPrevPrev);\n        if(v > aNext || i === a.length - 1) return snapOvershoot(aNext, aPrev);\n\n        aPrevPrev = aPrev;\n        aPrev = aNext;\n    }\n}\n\nfunction overlappingExisting(v, existingRanges) {\n    for(var i = 0; i < existingRanges.length; i++) {\n        if(v >= existingRanges[i][0] && v <= existingRanges[i][1]) return true;\n    }\n    return false;\n}\n\nfunction barHorizontalSetup(selection) {\n    selection\n        .attr('x', -c.bar.captureWidth / 2)\n        .attr('width', c.bar.captureWidth);\n}\n\nfunction backgroundBarHorizontalSetup(selection) {\n    selection\n        .attr('visibility', 'visible')\n        .style('visibility', 'visible')\n        .attr('fill', 'yellow')\n        .attr('opacity', 0);\n}\n\nfunction setHighlight(d) {\n    if(!d.brush.filterSpecified) {\n        return '0,' + d.height;\n    }\n    var pixelRanges = unitToPx(d.brush.filter.getConsolidated(), d.height);\n    var dashArray = [0]; // we start with a 0 length selection as filter ranges are inclusive, not exclusive\n    var p, sectionHeight, iNext;\n    var currentGap = pixelRanges.length ? pixelRanges[0][0] : null;\n    for(var i = 0; i < pixelRanges.length; i++) {\n        p = pixelRanges[i];\n        sectionHeight = p[1] - p[0];\n        dashArray.push(currentGap);\n        dashArray.push(sectionHeight);\n        iNext = i + 1;\n        if(iNext < pixelRanges.length) {\n            currentGap = pixelRanges[iNext][0] - p[1];\n        }\n    }\n    dashArray.push(d.height);\n    // d.height is added at the end to ensure that (1) we have an even number of dasharray points, MDN page says\n    // \"If an odd number of values is provided, then the list of values is repeated to yield an even number of values.\"\n    // and (2) it's _at least_ as long as the full height (even if range is minuscule and at the bottom) though this\n    // may not be necessary, maybe duplicating the last point would do too. But no harm in a longer dasharray than line.\n    return dashArray;\n}\n\nfunction unitToPx(unitRanges, height) {\n    return unitRanges.map(function(pr) {\n        return pr.map(function(v) { return v * height; }).sort(sortAsc);\n    });\n}\n\n// is the cursor over the north, middle, or south of a bar?\n// the end handles extend over the last 10% of the bar\nfunction getRegion(fPix, y) {\n    var pad = c.bar.handleHeight;\n    if(y > fPix[1] + pad || y < fPix[0] - pad) return;\n    if(y >= 0.9 * fPix[1] + 0.1 * fPix[0]) return 'n';\n    if(y <= 0.9 * fPix[0] + 0.1 * fPix[1]) return 's';\n    return 'ns';\n}\n\nfunction clearCursor() {\n    d3.select(document.body)\n        .style('cursor', null);\n}\n\nfunction styleHighlight(selection) {\n    // stroke-dasharray is used to minimize the number of created DOM nodes, because the requirement calls for up to\n    // 1000 individual selections on an axis, and there can be 60 axes per parcoords, and multiple parcoords per\n    // dashboard. The technique is similar to https://codepen.io/monfera/pen/rLYqWR and using a `polyline` with\n    // multiple sections, or a `path` element via its `d` attribute would also be DOM-sparing alternatives.\n    selection.attr('stroke-dasharray', setHighlight);\n}\n\nfunction renderHighlight(root, tweenCallback) {\n    var bar = d3.select(root).selectAll('.highlight, .highlight-shadow');\n    var barToStyle = tweenCallback ? bar.transition().duration(c.bar.snapDuration).each('end', tweenCallback) : bar;\n    styleHighlight(barToStyle);\n}\n\nfunction getInterval(d, y) {\n    var b = d.brush;\n    var active = b.filterSpecified;\n    var closestInterval = NaN;\n    var out = {};\n    var i;\n\n    if(active) {\n        var height = d.height;\n        var intervals = b.filter.getConsolidated();\n        var pixIntervals = unitToPx(intervals, height);\n        var hoveredInterval = NaN;\n        var previousInterval = NaN;\n        var nextInterval = NaN;\n        for(i = 0; i <= pixIntervals.length; i++) {\n            var p = pixIntervals[i];\n            if(p && p[0] <= y && y <= p[1]) {\n                // over a bar\n                hoveredInterval = i;\n                break;\n            } else {\n                // between bars, or before/after the first/last bar\n                previousInterval = i ? i - 1 : NaN;\n                if(p && p[0] > y) {\n                    nextInterval = i;\n                    break; // no point continuing as intervals are non-overlapping and sorted; could use log search\n                }\n            }\n        }\n\n        closestInterval = hoveredInterval;\n        if(isNaN(closestInterval)) {\n            if(isNaN(previousInterval) || isNaN(nextInterval)) {\n                closestInterval = isNaN(previousInterval) ? nextInterval : previousInterval;\n            }\n            else {\n                closestInterval = (y - pixIntervals[previousInterval][1] < pixIntervals[nextInterval][0] - y) ?\n                    previousInterval : nextInterval;\n            }\n        }\n\n        if(!isNaN(closestInterval)) {\n            var fPix = pixIntervals[closestInterval];\n            var region = getRegion(fPix, y);\n\n            if(region) {\n                out.interval = intervals[closestInterval];\n                out.intervalPix = fPix;\n                out.region = region;\n            }\n        }\n    }\n\n    if(d.ordinal && !out.region) {\n        var a = d.unitTickvals;\n        var unitLocation = d.unitToPaddedPx.invert(y);\n        for(i = 0; i < a.length; i++) {\n            var rangei = [\n                a[Math.max(i - 1, 0)] * 0.25 + a[i] * 0.75,\n                a[Math.min(i + 1, a.length - 1)] * 0.25 + a[i] * 0.75\n            ];\n            if(unitLocation >= rangei[0] && unitLocation <= rangei[1]) {\n                out.clickableOrdinalRange = rangei;\n                break;\n            }\n        }\n    }\n\n    return out;\n}\n\nfunction attachDragBehavior(selection) {\n    // There's some fiddling with pointer cursor styling so that the cursor preserves its shape while dragging a brush\n    // even if the cursor strays from the interacting bar, which is bound to happen as bars are thin and the user\n    // will inevitably leave the hotspot strip. In this regard, it does something similar to what the D3 brush would do.\n    selection\n        .on('mousemove', function(d) {\n            d3.event.preventDefault();\n            if(!d.parent.inBrushDrag) {\n                var y = d.height - d3.mouse(this)[1] - 2 * c.verticalPadding;\n                var interval = getInterval(d, y);\n\n                var cursor = 'crosshair';\n                if(interval.clickableOrdinalRange) cursor = 'pointer';\n                else if(interval.region) cursor = interval.region + '-resize';\n                d3.select(document.body)\n                    .style('cursor', cursor);\n            }\n        })\n        .on('mouseleave', function(d) {\n            if(!d.parent.inBrushDrag) clearCursor();\n        })\n        .call(d3.behavior.drag()\n            .on('dragstart', function(d) {\n                d3.event.sourceEvent.stopPropagation();\n                var y = d.height - d3.mouse(this)[1] - 2 * c.verticalPadding;\n                var unitLocation = d.unitToPaddedPx.invert(y);\n                var b = d.brush;\n                var interval = getInterval(d, y);\n                var unitRange = interval.interval;\n                var s = b.svgBrush;\n                s.wasDragged = false; // we start assuming there won't be a drag - useful for reset\n                s.grabbingBar = interval.region === 'ns';\n                if(s.grabbingBar) {\n                    var pixelRange = unitRange.map(d.unitToPaddedPx);\n                    s.grabPoint = y - pixelRange[0] - c.verticalPadding;\n                    s.barLength = pixelRange[1] - pixelRange[0];\n                }\n                s.clickableOrdinalRange = interval.clickableOrdinalRange;\n                s.stayingIntervals = (d.multiselect && b.filterSpecified) ? b.filter.getConsolidated() : [];\n                if(unitRange) {\n                    s.stayingIntervals = s.stayingIntervals.filter(function(int2) {\n                        return int2[0] !== unitRange[0] && int2[1] !== unitRange[1];\n                    });\n                }\n                s.startExtent = interval.region ? unitRange[interval.region === 's' ? 1 : 0] : unitLocation;\n                d.parent.inBrushDrag = true;\n                s.brushStartCallback();\n            })\n            .on('drag', function(d) {\n                d3.event.sourceEvent.stopPropagation();\n                var y = d.height - d3.mouse(this)[1] - 2 * c.verticalPadding;\n                var s = d.brush.svgBrush;\n                s.wasDragged = true;\n\n                if(s.grabbingBar) { // moving the bar\n                    s.newExtent = [y - s.grabPoint, y + s.barLength - s.grabPoint].map(d.unitToPaddedPx.invert);\n                } else { // south/north drag or new bar creation\n                    s.newExtent = [s.startExtent, d.unitToPaddedPx.invert(y)].sort(sortAsc);\n                }\n\n                // take care of the parcoords axis height constraint: bar can't breach it\n                var bottomViolation = Math.max(0, -s.newExtent[0]);\n                var topViolation = Math.max(0, s.newExtent[1] - 1);\n                s.newExtent[0] += bottomViolation;\n                s.newExtent[1] -= topViolation;\n                if(s.grabbingBar) {\n                    // in case of bar dragging (non-resizing interaction, unlike north/south resize or new bar creation)\n                    // the constraint adjustment must apply to the other end of the bar as well, otherwise it'd\n                    // shorten or lengthen\n                    s.newExtent[1] += bottomViolation;\n                    s.newExtent[0] -= topViolation;\n                }\n\n                d.brush.filterSpecified = true;\n                s.extent = s.stayingIntervals.concat([s.newExtent]);\n                s.brushCallback(d);\n                renderHighlight(this.parentNode);\n            })\n            .on('dragend', function(d) {\n                var e = d3.event;\n                e.sourceEvent.stopPropagation();\n                var brush = d.brush;\n                var filter = brush.filter;\n                var s = brush.svgBrush;\n                var grabbingBar = s.grabbingBar;\n                s.grabbingBar = false;\n                s.grabLocation = undefined;\n                d.parent.inBrushDrag = false;\n                clearCursor(); // instead of clearing, a nicer thing would be to set it according to current location\n                if(!s.wasDragged) { // a click+release on the same spot (ie. w/o dragging) means a bar or full reset\n                    s.wasDragged = undefined; // logic-wise unneeded, just shows `wasDragged` has no longer a meaning\n                    if(s.clickableOrdinalRange) {\n                        if(brush.filterSpecified && d.multiselect) {\n                            s.extent.push(s.clickableOrdinalRange);\n                        }\n                        else {\n                            s.extent = [s.clickableOrdinalRange];\n                            brush.filterSpecified = true;\n                        }\n                    }\n                    else if(grabbingBar) {\n                        s.extent = s.stayingIntervals;\n                        if(s.extent.length === 0) {\n                            brushClear(brush);\n                        }\n                    } else {\n                        brushClear(brush);\n                    }\n                    s.brushCallback(d);\n                    renderHighlight(this.parentNode);\n                    s.brushEndCallback(brush.filterSpecified ? filter.getConsolidated() : []);\n                    return; // no need to fuse intervals or snap to ordinals, so we can bail early\n                }\n\n                var mergeIntervals = function() {\n                    // Key piece of logic: once the button is released, possibly overlapping intervals will be fused:\n                    // Here it's done immediately on click release while on ordinal snap transition it's done at the end\n                    filter.set(filter.getConsolidated());\n                };\n\n                if(d.ordinal) {\n                    var a = d.unitTickvals;\n                    if(a[a.length - 1] < a[0]) a.reverse();\n                    s.newExtent = [\n                        ordinalScaleSnapLo(a, s.newExtent[0], s.stayingIntervals),\n                        ordinalScaleSnapHi(a, s.newExtent[1], s.stayingIntervals)\n                    ];\n                    var hasNewExtent = s.newExtent[1] > s.newExtent[0];\n                    s.extent = s.stayingIntervals.concat(hasNewExtent ? [s.newExtent] : []);\n                    if(!s.extent.length) {\n                        brushClear(brush);\n                    }\n                    s.brushCallback(d);\n                    if(hasNewExtent) {\n                        // merging intervals post the snap tween\n                        renderHighlight(this.parentNode, mergeIntervals);\n                    }\n                    else {\n                        // if no new interval, don't animate, just redraw the highlight immediately\n                        mergeIntervals();\n                        renderHighlight(this.parentNode);\n                    }\n                } else {\n                    mergeIntervals(); // merging intervals immediately\n                }\n                s.brushEndCallback(brush.filterSpecified ? filter.getConsolidated() : []);\n            })\n        );\n}\n\nfunction startAsc(a, b) { return a[0] - b[0]; }\n\nfunction renderAxisBrush(axisBrush) {\n\n    var background = axisBrush.selectAll('.background').data(repeat);\n\n    background.enter()\n        .append('rect')\n        .classed('background', true)\n        .call(barHorizontalSetup)\n        .call(backgroundBarHorizontalSetup)\n        .style('pointer-events', 'auto') // parent pointer events are disabled; we must have it to register events\n        .attr('transform', 'translate(0 ' + c.verticalPadding + ')');\n\n    background\n        .call(attachDragBehavior)\n        .attr('height', function(d) {\n            return d.height - c.verticalPadding;\n        });\n\n    var highlightShadow = axisBrush.selectAll('.highlight-shadow').data(repeat); // we have a set here, can't call it `extent`\n\n    highlightShadow.enter()\n        .append('line')\n        .classed('highlight-shadow', true)\n        .attr('x', -c.bar.width / 2)\n        .attr('stroke-width', c.bar.width + c.bar.strokeWidth)\n        .attr('stroke', c.bar.strokeColor)\n        .attr('opacity', c.bar.strokeOpacity)\n        .attr('stroke-linecap', 'butt');\n\n    highlightShadow\n        .attr('y1', function(d) { return d.height; })\n        .call(styleHighlight);\n\n    var highlight = axisBrush.selectAll('.highlight').data(repeat); // we have a set here, can't call it `extent`\n\n    highlight.enter()\n        .append('line')\n        .classed('highlight', true)\n        .attr('x', -c.bar.width / 2)\n        .attr('stroke-width', c.bar.width - c.bar.strokeWidth)\n        .attr('stroke', c.bar.fillColor)\n        .attr('opacity', c.bar.fillOpacity)\n        .attr('stroke-linecap', 'butt');\n\n    highlight\n        .attr('y1', function(d) { return d.height; })\n        .call(styleHighlight);\n}\n\nfunction ensureAxisBrush(axisOverlays) {\n    var axisBrush = axisOverlays.selectAll('.' + c.cn.axisBrush)\n        .data(repeat, keyFun);\n\n    axisBrush.enter()\n        .append('g')\n        .classed(c.cn.axisBrush, true);\n\n    renderAxisBrush(axisBrush);\n}\n\nfunction getBrushExtent(brush) {\n    return brush.svgBrush.extent.map(function(e) {return e.slice();});\n}\n\nfunction brushClear(brush) {\n    brush.filterSpecified = false;\n    brush.svgBrush.extent = [[0, 1]];\n}\n\nfunction axisBrushMoved(callback) {\n    return function axisBrushMoved(dimension) {\n        var brush = dimension.brush;\n        var extent = getBrushExtent(brush);\n        var newExtent = extent.slice();\n        brush.filter.set(newExtent);\n        callback();\n    };\n}\n\nfunction dedupeRealRanges(intervals) {\n    // Fuses elements of intervals if they overlap, yielding discontiguous intervals, results.length <= intervals.length\n    // Currently uses closed intervals, ie. dedupeRealRanges([[400, 800], [300, 400]]) -> [300, 800]\n    var queue = intervals.slice();\n    var result = [];\n    var currentInterval;\n    var current = queue.shift();\n    while(current) { // [].shift === undefined, so we don't descend into an empty array\n        currentInterval = current.slice();\n        while((current = queue.shift()) && current[0] <= /* right-open interval would need `<` */ currentInterval[1]) {\n            currentInterval[1] = Math.max(currentInterval[1], current[1]);\n        }\n        result.push(currentInterval);\n    }\n    return result;\n}\n\nfunction makeFilter() {\n    var filter = [];\n    var consolidated;\n    var bounds;\n    return {\n        set: function(a) {\n            filter = a\n                .map(function(d) { return d.slice().sort(sortAsc); })\n                .sort(startAsc);\n            consolidated = dedupeRealRanges(filter);\n            bounds = filter.reduce(function(p, n) {\n                return [Math.min(p[0], n[0]), Math.max(p[1], n[1])];\n            }, [Infinity, -Infinity]);\n        },\n        get: function() { return filter.slice(); },\n        getConsolidated: function() { return consolidated; },\n        getBounds: function() { return bounds; }\n    };\n}\n\nfunction makeBrush(state, rangeSpecified, initialRange, brushStartCallback, brushCallback, brushEndCallback) {\n    var filter = makeFilter();\n    filter.set(initialRange);\n    return {\n        filter: filter,\n        filterSpecified: rangeSpecified, // there's a difference between not filtering and filtering a non-proper subset\n        svgBrush: {\n            extent: [], // this is where the svgBrush writes contents into\n            brushStartCallback: brushStartCallback,\n            brushCallback: axisBrushMoved(brushCallback),\n            brushEndCallback: brushEndCallback\n        }\n    };\n}\n\n// for use by supplyDefaults, but it needed tons of pieces from here so\n// seemed to make more sense just to put the whole routine here\nfunction cleanRanges(ranges, dimension) {\n    if(Array.isArray(ranges[0])) {\n        ranges = ranges.map(function(ri) { return ri.sort(sortAsc); });\n\n        if(!dimension.multiselect) ranges = [ranges[0]];\n        else ranges = dedupeRealRanges(ranges.sort(startAsc));\n    }\n    else ranges = [ranges.sort(sortAsc)];\n\n    // ordinal snapping\n    if(dimension.tickvals) {\n        var sortedTickVals = dimension.tickvals.slice().sort(sortAsc);\n        ranges = ranges.map(function(ri) {\n            var rSnapped = [\n                ordinalScaleSnapLo(sortedTickVals, ri[0], []),\n                ordinalScaleSnapHi(sortedTickVals, ri[1], [])\n            ];\n            if(rSnapped[1] > rSnapped[0]) return rSnapped;\n        })\n        .filter(function(ri) { return ri; });\n\n        if(!ranges.length) return;\n    }\n    return ranges.length > 1 ? ranges : ranges[0];\n}\n\nmodule.exports = {\n    makeBrush: makeBrush,\n    ensureAxisBrush: ensureAxisBrush,\n    cleanRanges: cleanRanges\n};\n\n},{\"../../lib\":696,\"../../lib/gup\":693,\"./constants\":1012,\"d3\":148}],1010:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar getModuleCalcData = _dereq_('../../plots/get_data').getModuleCalcData;\nvar parcoordsPlot = _dereq_('./plot');\nvar xmlnsNamespaces = _dereq_('../../constants/xmlns_namespaces');\n\nvar PARCOORDS = 'parcoords';\n\nexports.name = PARCOORDS;\n\nexports.plot = function(gd) {\n    var calcData = getModuleCalcData(gd.calcdata, PARCOORDS)[0];\n    if(calcData.length) parcoordsPlot(gd, calcData);\n};\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var hadParcoords = (oldFullLayout._has && oldFullLayout._has(PARCOORDS));\n    var hasParcoords = (newFullLayout._has && newFullLayout._has(PARCOORDS));\n\n    if(hadParcoords && !hasParcoords) {\n        oldFullLayout._paperdiv.selectAll('.parcoords').remove();\n        oldFullLayout._glimages.selectAll('*').remove();\n    }\n};\n\nexports.toSVG = function(gd) {\n    var imageRoot = gd._fullLayout._glimages;\n    var root = d3.select(gd).selectAll('.svg-container');\n    var canvases = root.filter(function(d, i) {return i === root.size() - 1;})\n        .selectAll('.gl-canvas-context, .gl-canvas-focus');\n\n    function canvasToImage() {\n        var canvas = this;\n        var imageData = canvas.toDataURL('image/png');\n        var image = imageRoot.append('svg:image');\n\n        image.attr({\n            xmlns: xmlnsNamespaces.svg,\n            'xlink:href': imageData,\n            preserveAspectRatio: 'none',\n            x: 0,\n            y: 0,\n            width: canvas.width,\n            height: canvas.height\n        });\n    }\n\n    canvases.each(canvasToImage);\n\n    // Chrome / Safari bug workaround - browser apparently loses connection to the defined pattern\n    // Without the workaround, these browsers 'lose' the filter brush styling (color etc.) after a snapshot\n    // on a subsequent interaction.\n    // Firefox works fine without this workaround\n    window.setTimeout(function() {\n        d3.selectAll('#filterBarPattern')\n            .attr('id', 'filterBarPattern');\n    }, 60);\n};\n\n},{\"../../constants/xmlns_namespaces\":674,\"../../plots/get_data\":782,\"./plot\":1018,\"d3\":148}],1011:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar hasColorscale = _dereq_('../../components/colorscale/has_colorscale');\nvar calcColorscale = _dereq_('../../components/colorscale/calc');\nvar Lib = _dereq_('../../lib');\nvar wrap = _dereq_('../../lib/gup').wrap;\n\nmodule.exports = function calc(gd, trace) {\n    var cs = !!trace.line.colorscale && Lib.isArrayOrTypedArray(trace.line.color);\n    var color = cs ? trace.line.color : constHalf(trace._length);\n    var cscale = cs ? trace.line.colorscale : [[0, trace.line.color], [1, trace.line.color]];\n\n    if(hasColorscale(trace, 'line')) {\n        calcColorscale(trace, color, 'line', 'c');\n    }\n\n    return wrap({\n        lineColor: color,\n        cscale: cscale\n    });\n};\n\nfunction constHalf(len) {\n    var out = new Array(len);\n    for(var i = 0; i < len; i++) {\n        out[i] = 0.5;\n    }\n    return out;\n}\n\n},{\"../../components/colorscale/calc\":578,\"../../components/colorscale/has_colorscale\":584,\"../../lib\":696,\"../../lib/gup\":693}],1012:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nmodule.exports = {\n    maxDimensionCount: 60, // this cannot be increased without WebGL code refactoring\n    overdrag: 45,\n    verticalPadding: 2, // otherwise, horizontal lines on top or bottom are of lower width\n    tickDistance: 50,\n    canvasPixelRatio: 1,\n    blockLineCount: 5000,\n    layers: ['contextLineLayer', 'focusLineLayer', 'pickLineLayer'],\n    axisTitleOffset: 28,\n    axisExtentOffset: 10,\n    bar: {\n        width: 4, // Visible width of the filter bar\n        captureWidth: 10, // Mouse-sensitive width for interaction (Fitts law)\n        fillColor: 'magenta', // Color of the filter bar fill\n        fillOpacity: 1, // Filter bar fill opacity\n        snapDuration: 150, // tween duration in ms for brush snap for ordinal axes\n        snapRatio: 0.25, // ratio of bar extension relative to the distance between two adjacent ordinal values\n        snapClose: 0.01, // fraction of inter-value distance to snap to the closer one, even if you're not over it\n        strokeColor: 'white', // Color of the filter bar side lines\n        strokeOpacity: 1, // Filter bar side stroke opacity\n        strokeWidth: 1, // Filter bar side stroke width in pixels\n        handleHeight: 8, // Height of the filter bar vertical resize areas on top and bottom\n        handleOpacity: 1, // Opacity of the filter bar vertical resize areas on top and bottom\n        handleOverlap: 0 // A larger than 0 value causes overlaps with the filter bar, represented as pixels\n    },\n    cn: {\n        axisExtentText: 'axis-extent-text',\n        parcoordsLineLayers: 'parcoords-line-layers',\n        parcoordsLineLayer: 'parcoords-lines',\n        parcoords: 'parcoords',\n        parcoordsControlView: 'parcoords-control-view',\n        yAxis: 'y-axis',\n        axisOverlays: 'axis-overlays',\n        axis: 'axis',\n        axisHeading: 'axis-heading',\n        axisTitle: 'axis-title',\n        axisExtent: 'axis-extent',\n        axisExtentTop: 'axis-extent-top',\n        axisExtentTopText: 'axis-extent-top-text',\n        axisExtentBottom: 'axis-extent-bottom',\n        axisExtentBottomText: 'axis-extent-bottom-text',\n        axisBrush: 'axis-brush'\n    },\n    id: {\n        filterBarPattern: 'filter-bar-pattern'\n\n    }\n};\n\n},{}],1013:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar hasColorscale = _dereq_('../../components/colorscale/has_colorscale');\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\nvar handleDomainDefaults = _dereq_('../../plots/domain').defaults;\nvar handleArrayContainerDefaults = _dereq_('../../plots/array_container_defaults');\n\nvar attributes = _dereq_('./attributes');\nvar axisBrush = _dereq_('./axisbrush');\nvar maxDimensionCount = _dereq_('./constants').maxDimensionCount;\nvar mergeLength = _dereq_('./merge_length');\n\nfunction handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce) {\n    var lineColor = coerce('line.color', defaultColor);\n\n    if(hasColorscale(traceIn, 'line') && Lib.isArrayOrTypedArray(lineColor)) {\n        if(lineColor.length) {\n            coerce('line.colorscale');\n            colorscaleDefaults(traceIn, traceOut, layout, coerce, {prefix: 'line.', cLetter: 'c'});\n            // TODO: I think it would be better to keep showing lines beyond the last line color\n            // but I'm not sure what color to give these lines - probably black or white\n            // depending on the background color?\n            return lineColor.length;\n        }\n        else {\n            traceOut.line.color = defaultColor;\n        }\n    }\n    return Infinity;\n}\n\nfunction dimensionDefaults(dimensionIn, dimensionOut) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(dimensionIn, dimensionOut, attributes.dimensions, attr, dflt);\n    }\n\n    var values = coerce('values');\n    var visible = coerce('visible');\n    if(!(values && values.length)) {\n        visible = dimensionOut.visible = false;\n    }\n\n    if(visible) {\n        coerce('label');\n        coerce('tickvals');\n        coerce('ticktext');\n        coerce('tickformat');\n        coerce('range');\n\n        coerce('multiselect');\n        var constraintRange = coerce('constraintrange');\n        if(constraintRange) {\n            dimensionOut.constraintrange = axisBrush.cleanRanges(constraintRange, dimensionOut);\n        }\n    }\n}\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var dimensionsIn = traceIn.dimensions;\n    if(Array.isArray(dimensionsIn) && dimensionsIn.length > maxDimensionCount) {\n        Lib.log('parcoords traces support up to ' + maxDimensionCount + ' dimensions at the moment');\n        dimensionsIn.splice(maxDimensionCount);\n    }\n\n    var dimensions = handleArrayContainerDefaults(traceIn, traceOut, {\n        name: 'dimensions',\n        handleItemDefaults: dimensionDefaults\n    });\n\n    var len = handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n\n    handleDomainDefaults(traceOut, layout, coerce);\n\n    if(!Array.isArray(dimensions) || !dimensions.length) {\n        traceOut.visible = false;\n    }\n\n    mergeLength(traceOut, dimensions, 'values', len);\n\n    // make default font size 10px (default is 12),\n    // scale linearly with global font size\n    var fontDflt = {\n        family: layout.font.family,\n        size: Math.round(layout.font.size / 1.2),\n        color: layout.font.color\n    };\n\n    Lib.coerceFont(coerce, 'labelfont', fontDflt);\n    Lib.coerceFont(coerce, 'tickfont', fontDflt);\n    Lib.coerceFont(coerce, 'rangefont', fontDflt);\n};\n\n},{\"../../components/colorscale/defaults\":580,\"../../components/colorscale/has_colorscale\":584,\"../../lib\":696,\"../../plots/array_container_defaults\":741,\"../../plots/domain\":771,\"./attributes\":1008,\"./axisbrush\":1009,\"./constants\":1012,\"./merge_length\":1016}],1014:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Parcoords = {};\n\nParcoords.attributes = _dereq_('./attributes');\nParcoords.supplyDefaults = _dereq_('./defaults');\nParcoords.calc = _dereq_('./calc');\nParcoords.plot = _dereq_('./plot');\nParcoords.colorbar = {\n    container: 'line',\n    min: 'cmin',\n    max: 'cmax'\n};\n\nParcoords.moduleType = 'trace';\nParcoords.name = 'parcoords';\nParcoords.basePlotModule = _dereq_('./base_plot');\nParcoords.categories = ['gl', 'regl', 'noOpacity'];\nParcoords.meta = {\n    \n};\n\nmodule.exports = Parcoords;\n\n},{\"./attributes\":1008,\"./base_plot\":1010,\"./calc\":1011,\"./defaults\":1013,\"./plot\":1018}],1015:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar glslify = _dereq_('glslify');\nvar vertexShaderSource = glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D palette;\\nuniform sampler2D mask;\\nuniform float maskHeight;\\n\\nuniform vec2 colorClamp;\\n\\nvarying vec4 fragColor;\\n\\nvec4 unit_1 = vec4(1, 1, 1, 1);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit_1, unit_1);\\n}\\n\\nfloat axisY(\\n        float x,\\n        mat4 d[4],\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D\\n    ) {\\n\\n    float y1 = val(d[0], dim1A) + val(d[1], dim1B) + val(d[2], dim1C) + val(d[3], dim1D);\\n    float y2 = val(d[0], dim2A) + val(d[1], dim2B) + val(d[2], dim2C) + val(d[3], dim2D);\\n    return y1 * (1.0 - x) + y2 * x;\\n}\\n\\nconst int bitsPerByte = 8;\\n\\nint mod2(int a) {\\n    return a - 2 * (a / 2);\\n}\\n\\nint mod8(int a) {\\n    return a - 8 * (a / 8);\\n}\\n\\nvec4 zero = vec4(0, 0, 0, 0);\\nvec4 unit_0 = vec4(1, 1, 1, 1);\\nvec2 xyProjection = vec2(1, 1);\\n\\nmat4 mclamp(mat4 m, mat4 lo, mat4 hi) {\\n    return mat4(clamp(m[0], lo[0], hi[0]),\\n                clamp(m[1], lo[1], hi[1]),\\n                clamp(m[2], lo[2], hi[2]),\\n                clamp(m[3], lo[3], hi[3]));\\n}\\n\\nbool mshow(mat4 p, mat4 lo, mat4 hi) {\\n    return mclamp(p, lo, hi) == p;\\n}\\n\\nbool withinBoundingBox(\\n        mat4 d[4],\\n        mat4 loA, mat4 hiA, mat4 loB, mat4 hiB, mat4 loC, mat4 hiC, mat4 loD, mat4 hiD\\n    ) {\\n\\n    return mshow(d[0], loA, hiA) &&\\n           mshow(d[1], loB, hiB) &&\\n           mshow(d[2], loC, hiC) &&\\n           mshow(d[3], loD, hiD);\\n}\\n\\nbool withinRasterMask(mat4 d[4], sampler2D mask, float height) {\\n    bool result = true;\\n    int bitInByteStepper;\\n    float valY, valueY, scaleX;\\n    int hit, bitmask, valX;\\n    for(int i = 0; i < 4; i++) {\\n        for(int j = 0; j < 4; j++) {\\n            for(int k = 0; k < 4; k++) {\\n                bitInByteStepper = mod8(j * 4 + k);\\n                valX = i * 2 + j / 2;\\n                valY = d[i][j][k];\\n                valueY = valY * (height - 1.0) + 0.5;\\n                scaleX = (float(valX) + 0.5) / 8.0;\\n                hit = int(texture2D(mask, vec2(scaleX, (valueY + 0.5) / height))[3] * 255.0) / int(pow(2.0, float(bitInByteStepper)));\\n                result = result && mod2(hit) == 1;\\n            }\\n        }\\n    }\\n    return result;\\n}\\n\\nvec4 position(\\n        float depth,\\n        vec2 resolution, vec2 viewBoxPosition, vec2 viewBoxSize,\\n        mat4 dims[4],\\n        float signum,\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D,\\n        mat4 loA, mat4 hiA, mat4 loB, mat4 hiB, mat4 loC, mat4 hiC, mat4 loD, mat4 hiD,\\n        sampler2D mask, float maskHeight\\n    ) {\\n\\n    float x = 0.5 * signum + 0.5;\\n    float y = axisY(x, dims, dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D);\\n\\n    float show = float(\\n                            withinBoundingBox(dims, loA, hiA, loB, hiB, loC, hiC, loD, hiD)\\n                         && withinRasterMask(dims, mask, maskHeight)\\n                      );\\n\\n    vec2 viewBoxXY = viewBoxPosition + viewBoxSize * vec2(x, y);\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    return vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n\\n    float prominence = abs(pf[3]);\\n\\n    mat4 p[4];\\n    p[0] = mat4(p0, p1, p2, p3);\\n    p[1] = mat4(p4, p5, p6, p7);\\n    p[2] = mat4(p8, p9, pa, pb);\\n    p[3] = mat4(pc, pd, pe, abs(pf));\\n\\n    gl_Position = position(\\n        1.0 - prominence,\\n        resolution, viewBoxPosition, viewBoxSize,\\n        p,\\n        sign(pf[3]),\\n        dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n        loA, hiA, loB, hiB, loC, hiC, loD, hiD,\\n        mask, maskHeight\\n    );\\n\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\"]);\nvar contextShaderSource = glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D palette;\\n\\nuniform vec2 colorClamp;\\n\\nvarying vec4 fragColor;\\n\\nvec2 xyProjection = vec2(1, 1);\\n\\nvec4 unit = vec4(1, 1, 1, 1);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit, unit);\\n}\\n\\nfloat axisY(\\n        float x,\\n        mat4 d[4],\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D\\n    ) {\\n\\n    float y1 = val(d[0], dim1A) + val(d[1], dim1B) + val(d[2], dim1C) + val(d[3], dim1D);\\n    float y2 = val(d[0], dim2A) + val(d[1], dim2B) + val(d[2], dim2C) + val(d[3], dim2D);\\n    return y1 * (1.0 - x) + y2 * x;\\n}\\n\\nvec4 position(\\n        float depth,\\n        vec2 resolution, vec2 viewBoxPosition, vec2 viewBoxSize,\\n        mat4 dims[4],\\n        float signum,\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D\\n    ) {\\n\\n    float x = 0.5 * signum + 0.5;\\n    float y = axisY(x, dims, dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D);\\n\\n    vec2 viewBoxXY = viewBoxPosition + viewBoxSize * vec2(x, y);\\n\\n    return vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depth,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n\\n    float prominence = abs(pf[3]);\\n\\n    mat4 p[4];\\n    p[0] = mat4(p0, p1, p2, p3);\\n    p[1] = mat4(p4, p5, p6, p7);\\n    p[2] = mat4(p8, p9, pa, pb);\\n    p[3] = mat4(pc, pd, pe, abs(pf));\\n\\n    gl_Position = position(\\n        1.0 - prominence,\\n        resolution, viewBoxPosition, viewBoxSize,\\n        p,\\n        sign(pf[3]),\\n        dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D\\n    );\\n\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\"]);\nvar pickVertexShaderSource = glslify([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D mask;\\nuniform float maskHeight;\\n\\nuniform vec2 colorClamp;\\n\\nvarying vec4 fragColor;\\n\\nvec4 unit_1 = vec4(1, 1, 1, 1);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit_1, unit_1);\\n}\\n\\nfloat axisY(\\n        float x,\\n        mat4 d[4],\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D\\n    ) {\\n\\n    float y1 = val(d[0], dim1A) + val(d[1], dim1B) + val(d[2], dim1C) + val(d[3], dim1D);\\n    float y2 = val(d[0], dim2A) + val(d[1], dim2B) + val(d[2], dim2C) + val(d[3], dim2D);\\n    return y1 * (1.0 - x) + y2 * x;\\n}\\n\\nconst int bitsPerByte = 8;\\n\\nint mod2(int a) {\\n    return a - 2 * (a / 2);\\n}\\n\\nint mod8(int a) {\\n    return a - 8 * (a / 8);\\n}\\n\\nvec4 zero = vec4(0, 0, 0, 0);\\nvec4 unit_0 = vec4(1, 1, 1, 1);\\nvec2 xyProjection = vec2(1, 1);\\n\\nmat4 mclamp(mat4 m, mat4 lo, mat4 hi) {\\n    return mat4(clamp(m[0], lo[0], hi[0]),\\n                clamp(m[1], lo[1], hi[1]),\\n                clamp(m[2], lo[2], hi[2]),\\n                clamp(m[3], lo[3], hi[3]));\\n}\\n\\nbool mshow(mat4 p, mat4 lo, mat4 hi) {\\n    return mclamp(p, lo, hi) == p;\\n}\\n\\nbool withinBoundingBox(\\n        mat4 d[4],\\n        mat4 loA, mat4 hiA, mat4 loB, mat4 hiB, mat4 loC, mat4 hiC, mat4 loD, mat4 hiD\\n    ) {\\n\\n    return mshow(d[0], loA, hiA) &&\\n           mshow(d[1], loB, hiB) &&\\n           mshow(d[2], loC, hiC) &&\\n           mshow(d[3], loD, hiD);\\n}\\n\\nbool withinRasterMask(mat4 d[4], sampler2D mask, float height) {\\n    bool result = true;\\n    int bitInByteStepper;\\n    float valY, valueY, scaleX;\\n    int hit, bitmask, valX;\\n    for(int i = 0; i < 4; i++) {\\n        for(int j = 0; j < 4; j++) {\\n            for(int k = 0; k < 4; k++) {\\n                bitInByteStepper = mod8(j * 4 + k);\\n                valX = i * 2 + j / 2;\\n                valY = d[i][j][k];\\n                valueY = valY * (height - 1.0) + 0.5;\\n                scaleX = (float(valX) + 0.5) / 8.0;\\n                hit = int(texture2D(mask, vec2(scaleX, (valueY + 0.5) / height))[3] * 255.0) / int(pow(2.0, float(bitInByteStepper)));\\n                result = result && mod2(hit) == 1;\\n            }\\n        }\\n    }\\n    return result;\\n}\\n\\nvec4 position(\\n        float depth,\\n        vec2 resolution, vec2 viewBoxPosition, vec2 viewBoxSize,\\n        mat4 dims[4],\\n        float signum,\\n        mat4 dim1A, mat4 dim2A, mat4 dim1B, mat4 dim2B, mat4 dim1C, mat4 dim2C, mat4 dim1D, mat4 dim2D,\\n        mat4 loA, mat4 hiA, mat4 loB, mat4 hiB, mat4 loC, mat4 hiC, mat4 loD, mat4 hiD,\\n        sampler2D mask, float maskHeight\\n    ) {\\n\\n    float x = 0.5 * signum + 0.5;\\n    float y = axisY(x, dims, dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D);\\n\\n    float show = float(\\n                            withinBoundingBox(dims, loA, hiA, loB, hiB, loC, hiC, loD, hiD)\\n                         && withinRasterMask(dims, mask, maskHeight)\\n                      );\\n\\n    vec2 viewBoxXY = viewBoxPosition + viewBoxSize * vec2(x, y);\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    return vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n\\n    float prominence = abs(pf[3]);\\n\\n    mat4 p[4];\\n    p[0] = mat4(p0, p1, p2, p3);\\n    p[1] = mat4(p4, p5, p6, p7);\\n    p[2] = mat4(p8, p9, pa, pb);\\n    p[3] = mat4(pc, pd, pe, abs(pf));\\n\\n    gl_Position = position(\\n        1.0 - prominence,\\n        resolution, viewBoxPosition, viewBoxSize,\\n        p,\\n        sign(pf[3]),\\n        dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n        loA, hiA, loB, hiB, loC, hiC, loD, hiD,\\n        mask, maskHeight\\n    );\\n\\n    fragColor = vec4(pf.rgb, 1.0);\\n}\\n\"]);\nvar fragmentShaderSource = glslify([\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]);\n\nvar Lib = _dereq_('../../lib');\n\n// don't change; otherwise near/far plane lines are lost\nvar depthLimitEpsilon = 1e-6;\n// just enough buffer for an extra bit at single-precision floating point\n// which on [0, 1] is 6e-8 (1/2^24)\nvar filterEpsilon = 1e-7;\n\n// precision of multiselect is the full range divided into this many parts\nvar maskHeight = 2048;\n\nvar gpuDimensionCount = 64;\nvar sectionVertexCount = 2;\nvar vec4NumberCount = 4;\nvar bitsPerByte = 8;\nvar channelCount = gpuDimensionCount / bitsPerByte; // == 8 bytes needed to have 64 bits\n\nvar contextColor = [119, 119, 119]; // middle gray to not drawn the focus; looks good on a black or white background\n\nvar dummyPixel = new Uint8Array(4);\nvar pickPixel = new Uint8Array(4);\n\nvar paletteTextureConfig = {\n    shape: [256, 1],\n    format: 'rgba',\n    type: 'uint8',\n    mag: 'nearest',\n    min: 'nearest'\n};\n\nfunction ensureDraw(regl) {\n    regl.read({\n        x: 0,\n        y: 0,\n        width: 1,\n        height: 1,\n        data: dummyPixel\n    });\n}\n\nfunction clear(regl, x, y, width, height) {\n    var gl = regl._gl;\n    gl.enable(gl.SCISSOR_TEST);\n    gl.scissor(x, y, width, height);\n    regl.clear({color: [0, 0, 0, 0], depth: 1}); // clearing is done in scissored panel only\n}\n\nfunction renderBlock(regl, glAes, renderState, blockLineCount, sampleCount, item) {\n\n    var rafKey = item.key;\n\n    function render(blockNumber) {\n\n        var count;\n\n        count = Math.min(blockLineCount, sampleCount - blockNumber * blockLineCount);\n\n        item.offset = sectionVertexCount * blockNumber * blockLineCount;\n        item.count = sectionVertexCount * count;\n        if(blockNumber === 0) {\n            // stop drawing possibly stale glyphs before clearing\n            window.cancelAnimationFrame(renderState.currentRafs[rafKey]);\n            delete renderState.currentRafs[rafKey];\n            clear(regl, item.scissorX, item.scissorY, item.scissorWidth, item.viewBoxSize[1]);\n        }\n\n        if(renderState.clearOnly) {\n            return;\n        }\n\n        glAes(item);\n\n        if(blockNumber * blockLineCount + count < sampleCount) {\n            renderState.currentRafs[rafKey] = window.requestAnimationFrame(function() {\n                render(blockNumber + 1);\n            });\n        }\n\n        renderState.drawCompleted = false;\n    }\n\n    if(!renderState.drawCompleted) {\n        ensureDraw(regl);\n        renderState.drawCompleted = true;\n    }\n\n    // start with rendering item 0; recursion handles the rest\n    render(0);\n}\n\nfunction adjustDepth(d) {\n    // WebGL matrix operations use floats with limited precision, potentially causing a number near a border of [0, 1]\n    // to end up slightly outside the border. With an epsilon, we reduce the chance that a line gets clipped by the\n    // near or the far plane.\n    return Math.max(depthLimitEpsilon, Math.min(1 - depthLimitEpsilon, d));\n}\n\nfunction palette(unitToColor, context, opacity) {\n    var result = [];\n    for(var j = 0; j < 256; j++) {\n        var c = unitToColor(j / 255);\n        result.push((context ? contextColor : c).concat(opacity));\n    }\n\n    return result;\n}\n\n// Maps the sample index [0...sampleCount - 1] to a range of [0, 1] as the shader expects colors in the [0, 1] range.\n// but first it shifts the sample index by 0, 8 or 16 bits depending on rgbIndex [0..2]\n// with the end result that each line will be of a unique color, making it possible for the pick handler\n// to uniquely identify which line is hovered over (bijective mapping).\n// The inverse, i.e. readPixel is invoked from 'parcoords.js'\nfunction calcPickColor(j, rgbIndex) {\n    return (j >>> 8 * rgbIndex) % 256 / 255;\n}\n\nfunction makePoints(sampleCount, dimensions, color) {\n    var dimensionCount = dimensions.length;\n\n    var points = [];\n    for(var j = 0; j < sampleCount; j++) {\n        for(var i = 0; i < gpuDimensionCount; i++) {\n            points.push(i < dimensionCount ?\n                dimensions[i].paddedUnitValues[j] :\n                i === (gpuDimensionCount - 1) ?\n                    adjustDepth(color[j]) :\n                    i >= gpuDimensionCount - 4 ?\n                        calcPickColor(j, gpuDimensionCount - 2 - i) :\n                        0.5);\n        }\n    }\n\n    return points;\n}\n\nfunction makeVecAttr(sampleCount, points, vecIndex) {\n    var i, j, k;\n    var pointPairs = [];\n\n    for(j = 0; j < sampleCount; j++) {\n        for(k = 0; k < sectionVertexCount; k++) {\n            for(i = 0; i < vec4NumberCount; i++) {\n                pointPairs.push(points[j * gpuDimensionCount + vecIndex * vec4NumberCount + i]);\n                if(vecIndex * vec4NumberCount + i === gpuDimensionCount - 1 && k % 2 === 0) {\n                    pointPairs[pointPairs.length - 1] *= -1;\n                }\n            }\n        }\n    }\n\n    return pointPairs;\n}\n\nfunction setAttributes(attributes, sampleCount, points) {\n    for(var i = 0; i < 16; i++) {\n        attributes['p' + i.toString(16)](makeVecAttr(sampleCount, points, i));\n    }\n}\n\nfunction emptyAttributes(regl) {\n    var attributes = {};\n    for(var i = 0; i < 16; i++) {\n        attributes['p' + i.toString(16)] = regl.buffer({usage: 'dynamic', type: 'float', data: new Uint8Array(0)});\n    }\n    return attributes;\n}\n\nmodule.exports = function(canvasGL, d) {\n    // context & pick describe which canvas we're talking about - won't change with new data\n    var context = d.context;\n    var pick = d.pick;\n\n    var regl = d.regl;\n\n    var renderState = {\n        currentRafs: {},\n        drawCompleted: true,\n        clearOnly: false\n    };\n\n    // state to be set by update and used later\n    var model;\n    var vm;\n    var initialDims;\n    var sampleCount;\n    var attributes = emptyAttributes(regl);\n    var maskTexture;\n    var paletteTexture = regl.texture(paletteTextureConfig);\n\n    update(d);\n\n    var glAes = regl({\n\n        profile: false,\n\n        blend: {\n            enable: context,\n            func: {\n                srcRGB: 'src alpha',\n                dstRGB: 'one minus src alpha',\n                srcAlpha: 1,\n                dstAlpha: 1 // 'one minus src alpha'\n            },\n            equation: {\n                rgb: 'add',\n                alpha: 'add'\n            },\n            color: [0, 0, 0, 0]\n        },\n\n        depth: {\n            enable: !context,\n            mask: true,\n            func: 'less',\n            range: [0, 1]\n        },\n\n        // for polygons\n        cull: {\n            enable: true,\n            face: 'back'\n        },\n\n        scissor: {\n            enable: true,\n            box: {\n                x: regl.prop('scissorX'),\n                y: regl.prop('scissorY'),\n                width: regl.prop('scissorWidth'),\n                height: regl.prop('scissorHeight')\n            }\n        },\n\n        viewport: {\n            x: regl.prop('viewportX'),\n            y: regl.prop('viewportY'),\n            width: regl.prop('viewportWidth'),\n            height: regl.prop('viewportHeight')\n        },\n\n        dither: false,\n\n        vert: pick ? pickVertexShaderSource : context ? contextShaderSource : vertexShaderSource,\n\n        frag: fragmentShaderSource,\n\n        primitive: 'lines',\n        lineWidth: 1,\n        attributes: attributes,\n        uniforms: {\n            resolution: regl.prop('resolution'),\n            viewBoxPosition: regl.prop('viewBoxPosition'),\n            viewBoxSize: regl.prop('viewBoxSize'),\n            dim1A: regl.prop('dim1A'),\n            dim2A: regl.prop('dim2A'),\n            dim1B: regl.prop('dim1B'),\n            dim2B: regl.prop('dim2B'),\n            dim1C: regl.prop('dim1C'),\n            dim2C: regl.prop('dim2C'),\n            dim1D: regl.prop('dim1D'),\n            dim2D: regl.prop('dim2D'),\n            loA: regl.prop('loA'),\n            hiA: regl.prop('hiA'),\n            loB: regl.prop('loB'),\n            hiB: regl.prop('hiB'),\n            loC: regl.prop('loC'),\n            hiC: regl.prop('hiC'),\n            loD: regl.prop('loD'),\n            hiD: regl.prop('hiD'),\n            palette: paletteTexture,\n            mask: regl.prop('maskTexture'),\n            maskHeight: regl.prop('maskHeight'),\n            colorClamp: regl.prop('colorClamp')\n        },\n        offset: regl.prop('offset'),\n        count: regl.prop('count')\n    });\n\n    function update(dNew) {\n        model = dNew.model;\n        vm = dNew.viewModel;\n        initialDims = vm.dimensions.slice();\n        sampleCount = initialDims[0] ? initialDims[0].values.length : 0;\n\n        var lines = model.lines;\n        var color = pick ? lines.color.map(function(_, i) {return i / lines.color.length;}) : lines.color;\n        var contextOpacity = Math.max(1 / 255, Math.pow(1 / color.length, 1 / 3));\n\n        var points = makePoints(sampleCount, initialDims, color);\n        setAttributes(attributes, sampleCount, points);\n\n        paletteTexture = regl.texture(Lib.extendFlat({\n            data: palette(model.unitToColor, context, Math.round((context ? contextOpacity : 1) * 255))\n        }, paletteTextureConfig));\n    }\n\n    var colorClamp = [0, 1];\n\n    function setColorDomain(unitDomain) {\n        colorClamp[0] = unitDomain[0];\n        colorClamp[1] = unitDomain[1];\n    }\n\n    var previousAxisOrder = [];\n\n    function makeItem(i, ii, x, y, panelSizeX, canvasPanelSizeY, crossfilterDimensionIndex, I, leftmost, rightmost, constraints) {\n        var loHi, abcd, d, index;\n        var leftRight = [i, ii];\n\n        var dims = [0, 1].map(function() {return [0, 1, 2, 3].map(function() {return new Float32Array(16);});});\n\n        for(loHi = 0; loHi < 2; loHi++) {\n            index = leftRight[loHi];\n            for(abcd = 0; abcd < 4; abcd++) {\n                for(d = 0; d < 16; d++) {\n                    dims[loHi][abcd][d] = d + 16 * abcd === index ? 1 : 0;\n                }\n            }\n        }\n\n        var overdrag = model.lines.canvasOverdrag;\n        var domain = model.domain;\n        var canvasWidth = model.canvasWidth;\n        var canvasHeight = model.canvasHeight;\n\n        var itemModel = Lib.extendFlat({\n            key: crossfilterDimensionIndex,\n            resolution: [canvasWidth, canvasHeight],\n            viewBoxPosition: [x + overdrag, y],\n            viewBoxSize: [panelSizeX, canvasPanelSizeY],\n            i: i,\n            ii: ii,\n\n            dim1A: dims[0][0],\n            dim1B: dims[0][1],\n            dim1C: dims[0][2],\n            dim1D: dims[0][3],\n            dim2A: dims[1][0],\n            dim2B: dims[1][1],\n            dim2C: dims[1][2],\n            dim2D: dims[1][3],\n\n            colorClamp: colorClamp,\n\n            scissorX: (I === leftmost ? 0 : x + overdrag) + (model.pad.l - overdrag) + model.layoutWidth * domain.x[0],\n            scissorWidth: (I === rightmost ? canvasWidth - x + overdrag : panelSizeX + 0.5) + (I === leftmost ? x + overdrag : 0),\n            scissorY: y + model.pad.b + model.layoutHeight * domain.y[0],\n            scissorHeight: canvasPanelSizeY,\n\n            viewportX: model.pad.l - overdrag + model.layoutWidth * domain.x[0],\n            viewportY: model.pad.b + model.layoutHeight * domain.y[0],\n            viewportWidth: canvasWidth,\n            viewportHeight: canvasHeight\n        }, constraints);\n\n        return itemModel;\n    }\n\n    function makeConstraints() {\n        var loHi, abcd, d;\n\n        var lims = [0, 1].map(function() {return [0, 1, 2, 3].map(function() {return new Float32Array(16);});});\n\n        for(loHi = 0; loHi < 2; loHi++) {\n            for(abcd = 0; abcd < 4; abcd++) {\n                for(d = 0; d < 16; d++) {\n                    var dimP = d + 16 * abcd;\n                    var lim;\n                    if(dimP < initialDims.length) {\n                        lim = initialDims[dimP].brush.filter.getBounds()[loHi];\n                    }\n                    else lim = loHi;\n                    lims[loHi][abcd][d] = lim + (2 * loHi - 1) * filterEpsilon;\n                }\n            }\n        }\n\n        function expandedPixelRange(dim, bounds) {\n            var maskHMinus = maskHeight - 1;\n            return [\n                Math.max(0, Math.floor(bounds[0] * maskHMinus)),\n                Math.min(maskHMinus, Math.ceil(bounds[1] * maskHMinus))\n            ];\n        }\n\n        var mask = Array.apply(null, new Array(maskHeight * channelCount)).map(function() {\n            return 255;\n        });\n        for(var dimIndex = 0; dimIndex < initialDims.length; dimIndex++) {\n            var bitIndex = dimIndex % bitsPerByte;\n            var byteIndex = (dimIndex - bitIndex) / bitsPerByte;\n            var bitMask = Math.pow(2, bitIndex);\n            var dim = initialDims[dimIndex];\n            var ranges = dim.brush.filter.get();\n            if(ranges.length < 2) continue; // bail if the bounding box based filter is sufficient\n\n            var prevEnd = expandedPixelRange(dim, ranges[0])[1];\n            for(var ri = 1; ri < ranges.length; ri++) {\n                var nextRange = expandedPixelRange(dim, ranges[ri]);\n                for(var pi = prevEnd + 1; pi < nextRange[0]; pi++) {\n                    mask[pi * channelCount + byteIndex] &= ~bitMask;\n                }\n                prevEnd = Math.max(prevEnd, nextRange[1]);\n            }\n        }\n\n        var textureData = {\n            // 8 units x 8 bits = 64 bits, just sufficient for the almost 64 dimensions we support\n            shape: [channelCount, maskHeight],\n            format: 'alpha',\n            type: 'uint8',\n            mag: 'nearest',\n            min: 'nearest',\n            data: mask\n        };\n        if(maskTexture) maskTexture(textureData);\n        else maskTexture = regl.texture(textureData);\n\n        return {\n            maskTexture: maskTexture,\n            maskHeight: maskHeight,\n            loA: lims[0][0],\n            loB: lims[0][1],\n            loC: lims[0][2],\n            loD: lims[0][3],\n            hiA: lims[1][0],\n            hiB: lims[1][1],\n            hiC: lims[1][2],\n            hiD: lims[1][3]\n        };\n    }\n\n    function renderGLParcoords(panels, setChanged, clearOnly) {\n        var panelCount = panels.length;\n        var I;\n\n        var leftmost, rightmost, lowestX = Infinity, highestX = -Infinity;\n\n        for(I = 0; I < panelCount; I++) {\n            if(panels[I].dim2.canvasX > highestX) {\n                highestX = panels[I].dim2.canvasX;\n                rightmost = I;\n            }\n            if(panels[I].dim1.canvasX < lowestX) {\n                lowestX = panels[I].dim1.canvasX;\n                leftmost = I;\n            }\n        }\n\n        if(panelCount === 0) {\n            // clear canvas here, as the panel iteration below will not enter the loop body\n            clear(regl, 0, 0, model.canvasWidth, model.canvasHeight);\n        }\n        var constraints = context ? {} : makeConstraints();\n\n        for(I = 0; I < panelCount; I++) {\n            var panel = panels[I];\n            var dim1 = panel.dim1;\n            var i = dim1.crossfilterDimensionIndex;\n            var x = panel.canvasX;\n            var y = panel.canvasY;\n            var dim2 = panel.dim2;\n            var ii = dim2.crossfilterDimensionIndex;\n            var panelSizeX = panel.panelSizeX;\n            var panelSizeY = panel.panelSizeY;\n            var xTo = x + panelSizeX;\n            if(setChanged || !previousAxisOrder[i] || previousAxisOrder[i][0] !== x || previousAxisOrder[i][1] !== xTo) {\n                previousAxisOrder[i] = [x, xTo];\n                var item = makeItem(i, ii, x, y, panelSizeX, panelSizeY, dim1.crossfilterDimensionIndex, I, leftmost, rightmost, constraints);\n                renderState.clearOnly = clearOnly;\n                renderBlock(regl, glAes, renderState, setChanged ? model.lines.blockLineCount : sampleCount, sampleCount, item);\n            }\n        }\n    }\n\n    function readPixel(canvasX, canvasY) {\n        regl.read({\n            x: canvasX,\n            y: canvasY,\n            width: 1,\n            height: 1,\n            data: pickPixel\n        });\n        return pickPixel;\n    }\n\n    function readPixels(canvasX, canvasY, width, height) {\n        var pixelArray = new Uint8Array(4 * width * height);\n        regl.read({\n            x: canvasX,\n            y: canvasY,\n            width: width,\n            height: height,\n            data: pixelArray\n        });\n        return pixelArray;\n    }\n\n    function destroy() {\n        canvasGL.style['pointer-events'] = 'none';\n        paletteTexture.destroy();\n        if(maskTexture) maskTexture.destroy();\n        for(var k in attributes) attributes[k].destroy();\n    }\n\n    return {\n        setColorDomain: setColorDomain,\n        render: renderGLParcoords,\n        readPixel: readPixel,\n        readPixels: readPixels,\n        destroy: destroy,\n        update: update\n    };\n};\n\n},{\"../../lib\":696,\"glslify\":392}],1016:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n/**\n * mergeLength: set trace length as the minimum of all dimension data lengths\n *     and propagates this length into each dimension\n *\n * @param {object} traceOut: the fullData trace\n * @param {Array(object)} dimensions: array of dimension objects\n * @param {string} dataAttr: the attribute of each dimension containing the data\n * @param {integer} len: an already-existing length from other attributes\n */\nmodule.exports = function(traceOut, dimensions, dataAttr, len) {\n    if(!len) len = Infinity;\n    var i, dimi;\n    for(i = 0; i < dimensions.length; i++) {\n        dimi = dimensions[i];\n        if(dimi.visible) len = Math.min(len, dimi[dataAttr].length);\n    }\n    if(len === Infinity) len = 0;\n\n    traceOut._length = len;\n    for(i = 0; i < dimensions.length; i++) {\n        dimi = dimensions[i];\n        if(dimi.visible) dimi._length = len;\n    }\n\n    return len;\n};\n\n},{}],1017:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar lineLayerMaker = _dereq_('./lines');\nvar c = _dereq_('./constants');\nvar Lib = _dereq_('../../lib');\nvar d3 = _dereq_('d3');\nvar Drawing = _dereq_('../../components/drawing');\nvar gup = _dereq_('../../lib/gup');\nvar keyFun = gup.keyFun;\nvar repeat = gup.repeat;\nvar unwrap = gup.unwrap;\nvar brush = _dereq_('./axisbrush');\n\nfunction visible(dimension) { return !('visible' in dimension) || dimension.visible; }\n\nfunction dimensionExtent(dimension) {\n\n    var lo = dimension.range ? dimension.range[0] : Lib.aggNums(Math.min, null, dimension.values, dimension._length);\n    var hi = dimension.range ? dimension.range[1] : Lib.aggNums(Math.max, null, dimension.values, dimension._length);\n\n    if(isNaN(lo) || !isFinite(lo)) {\n        lo = 0;\n    }\n\n    if(isNaN(hi) || !isFinite(hi)) {\n        hi = 0;\n    }\n\n    // avoid a degenerate (zero-width) domain\n    if(lo === hi) {\n        if(lo === 0) {\n            // no use to multiplying zero, so add/subtract in this case\n            lo -= 1;\n            hi += 1;\n        } else {\n            // this keeps the range in the order of magnitude of the data\n            lo *= 0.9;\n            hi *= 1.1;\n        }\n    }\n\n    return [lo, hi];\n}\n\nfunction toText(formatter, texts) {\n    if(texts) {\n        return function(v, i) {\n            var text = texts[i];\n            if(text === null || text === undefined) return formatter(v);\n            return text;\n        };\n    }\n    return formatter;\n}\n\nfunction domainScale(height, padding, dimension, tickvals, ticktext) {\n    var extent = dimensionExtent(dimension);\n    if(tickvals) {\n        return d3.scale.ordinal()\n            .domain(tickvals.map(toText(d3.format(dimension.tickformat), ticktext)))\n            .range(tickvals\n                .map(function(d) {\n                    var unitVal = (d - extent[0]) / (extent[1] - extent[0]);\n                    return (height - padding + unitVal * (2 * padding - height));\n                })\n            );\n    }\n    return d3.scale.linear()\n        .domain(extent)\n        .range([height - padding, padding]);\n}\n\nfunction unitToPaddedPx(height, padding) { return d3.scale.linear().range([padding, height - padding]); }\n\nfunction domainToPaddedUnitScale(dimension, padFraction) {\n    return d3.scale.linear()\n        .domain(dimensionExtent(dimension))\n        .range([padFraction, 1 - padFraction]);\n}\n\nfunction ordinalScale(dimension) {\n    if(!dimension.tickvals) return;\n\n    var extent = dimensionExtent(dimension);\n    return d3.scale.ordinal()\n        .domain(dimension.tickvals)\n        .range(dimension.tickvals.map(function(d) {\n            return (d - extent[0]) / (extent[1] - extent[0]);\n        }));\n}\n\nfunction unitToColorScale(cscale) {\n\n    var colorStops = cscale.map(function(d) { return d[0]; });\n    var colorTuples = cscale.map(function(d) { return d3.rgb(d[1]); });\n    var prop = function(n) { return function(o) { return o[n]; }; };\n\n    // We can't use d3 color interpolation as we may have non-uniform color palette raster\n    // (various color stop distances).\n    var polylinearUnitScales = 'rgb'.split('').map(function(key) {\n        return d3.scale.linear()\n            .clamp(true)\n            .domain(colorStops)\n            .range(colorTuples.map(prop(key)));\n    });\n\n    return function(d) {\n        return polylinearUnitScales.map(function(s) {\n            return s(d);\n        });\n    };\n}\n\nfunction someFiltersActive(view) {\n    return view.dimensions.some(function(p) {\n        return p.brush.filterSpecified;\n    });\n}\n\nfunction model(layout, d, i) {\n    var cd0 = unwrap(d),\n        trace = cd0.trace,\n        lineColor = cd0.lineColor,\n        cscale = cd0.cscale,\n        line = trace.line,\n        domain = trace.domain,\n        dimensions = trace.dimensions,\n        width = layout.width,\n        labelFont = trace.labelfont,\n        tickFont = trace.tickfont,\n        rangeFont = trace.rangefont;\n\n    var lines = Lib.extendDeepNoArrays({}, line, {\n        color: lineColor.map(d3.scale.linear().domain(dimensionExtent({\n            values: lineColor,\n            range: [line.cmin, line.cmax],\n            _length: trace._length\n        }))),\n        blockLineCount: c.blockLineCount,\n        canvasOverdrag: c.overdrag * c.canvasPixelRatio\n    });\n\n    var groupWidth = Math.floor(width * (domain.x[1] - domain.x[0]));\n    var groupHeight = Math.floor(layout.height * (domain.y[1] - domain.y[0]));\n\n    var pad = layout.margin || {l: 80, r: 80, t: 100, b: 80};\n    var rowContentWidth = groupWidth;\n    var rowHeight = groupHeight;\n\n    return {\n        key: i,\n        colCount: dimensions.filter(visible).length,\n        dimensions: dimensions,\n        tickDistance: c.tickDistance,\n        unitToColor: unitToColorScale(cscale),\n        lines: lines,\n        labelFont: labelFont,\n        tickFont: tickFont,\n        rangeFont: rangeFont,\n        layoutWidth: width,\n        layoutHeight: layout.height,\n        domain: domain,\n        translateX: domain.x[0] * width,\n        translateY: layout.height - domain.y[1] * layout.height,\n        pad: pad,\n        canvasWidth: rowContentWidth * c.canvasPixelRatio + 2 * lines.canvasOverdrag,\n        canvasHeight: rowHeight * c.canvasPixelRatio,\n        width: rowContentWidth,\n        height: rowHeight,\n        canvasPixelRatio: c.canvasPixelRatio\n    };\n}\n\nfunction viewModel(state, callbacks, model) {\n\n    var width = model.width;\n    var height = model.height;\n    var dimensions = model.dimensions;\n    var canvasPixelRatio = model.canvasPixelRatio;\n\n    var xScale = function(d) {return width * d / Math.max(1, model.colCount - 1);};\n\n    var unitPad = c.verticalPadding / height;\n    var _unitToPaddedPx = unitToPaddedPx(height, c.verticalPadding);\n\n    var viewModel = {\n        key: model.key,\n        xScale: xScale,\n        model: model,\n        inBrushDrag: false // consider factoring it out and putting it in a centralized global-ish gesture state object\n    };\n\n    var uniqueKeys = {};\n\n    viewModel.dimensions = dimensions.filter(visible).map(function(dimension, i) {\n        var domainToPaddedUnit = domainToPaddedUnitScale(dimension, unitPad);\n        var foundKey = uniqueKeys[dimension.label];\n        uniqueKeys[dimension.label] = (foundKey || 0) + 1;\n        var key = dimension.label + (foundKey ? '__' + foundKey : '');\n        var specifiedConstraint = dimension.constraintrange;\n        var filterRangeSpecified = specifiedConstraint && specifiedConstraint.length;\n        if(filterRangeSpecified && !Array.isArray(specifiedConstraint[0])) {\n            specifiedConstraint = [specifiedConstraint];\n        }\n        var filterRange = filterRangeSpecified ?\n            specifiedConstraint.map(function(d) { return d.map(domainToPaddedUnit); }) :\n            [[0, 1]];\n        var brushMove = function() {\n            var p = viewModel;\n            p.focusLayer && p.focusLayer.render(p.panels, true);\n            var filtersActive = someFiltersActive(p);\n            if(!state.contextShown() && filtersActive) {\n                p.contextLayer && p.contextLayer.render(p.panels, true);\n                state.contextShown(true);\n            } else if(state.contextShown() && !filtersActive) {\n                p.contextLayer && p.contextLayer.render(p.panels, true, true);\n                state.contextShown(false);\n            }\n        };\n\n        var truncatedValues = dimension.values;\n        if(truncatedValues.length > dimension._length) {\n            truncatedValues = truncatedValues.slice(0, dimension._length);\n        }\n\n        var tickvals = dimension.tickvals;\n        var ticktext;\n        function makeTickItem(v, i) { return {val: v, text: ticktext[i]}; }\n        function sortTickItem(a, b) { return a.val - b.val; }\n        if(Array.isArray(tickvals) && tickvals.length) {\n            ticktext = dimension.ticktext;\n\n            // ensure ticktext and tickvals have same length\n            if(!Array.isArray(ticktext) || !ticktext.length) {\n                ticktext = tickvals.map(d3.format(dimension.tickformat));\n            }\n            else if(ticktext.length > tickvals.length) {\n                ticktext = ticktext.slice(0, tickvals.length);\n            }\n            else if(tickvals.length > ticktext.length) {\n                tickvals = tickvals.slice(0, ticktext.length);\n            }\n\n            // check if we need to sort tickvals/ticktext\n            for(var j = 1; j < tickvals.length; j++) {\n                if(tickvals[j] < tickvals[j - 1]) {\n                    var tickItems = tickvals.map(makeTickItem).sort(sortTickItem);\n                    for(var k = 0; k < tickvals.length; k++) {\n                        tickvals[k] = tickItems[k].val;\n                        ticktext[k] = tickItems[k].text;\n                    }\n                    break;\n                }\n            }\n        }\n        else tickvals = undefined;\n\n        return {\n            key: key,\n            label: dimension.label,\n            tickFormat: dimension.tickformat,\n            tickvals: tickvals,\n            ticktext: ticktext,\n            ordinal: !!tickvals,\n            multiselect: dimension.multiselect,\n            xIndex: i,\n            crossfilterDimensionIndex: i,\n            visibleIndex: dimension._index,\n            height: height,\n            values: truncatedValues,\n            paddedUnitValues: truncatedValues.map(domainToPaddedUnit),\n            unitTickvals: tickvals && tickvals.map(domainToPaddedUnit),\n            xScale: xScale,\n            x: xScale(i),\n            canvasX: xScale(i) * canvasPixelRatio,\n            unitToPaddedPx: _unitToPaddedPx,\n            domainScale: domainScale(height, c.verticalPadding, dimension, tickvals, ticktext),\n            ordinalScale: ordinalScale(dimension),\n            parent: viewModel,\n            model: model,\n            brush: brush.makeBrush(\n                state,\n                filterRangeSpecified,\n                filterRange,\n                function() {\n                    state.linePickActive(false);\n                },\n                brushMove,\n                function(f) {\n                    var p = viewModel;\n                    p.focusLayer.render(p.panels, true);\n                    p.pickLayer && p.pickLayer.render(p.panels, true);\n                    state.linePickActive(true);\n                    if(callbacks && callbacks.filterChanged) {\n                        var invScale = domainToPaddedUnit.invert;\n\n                        // update gd.data as if a Plotly.restyle were fired\n                        var newRanges = f.map(function(r) {\n                            return r.map(invScale).sort(Lib.sorterAsc);\n                        }).sort(function(a, b) { return a[0] - b[0]; });\n                        callbacks.filterChanged(p.key, dimension._index, newRanges);\n                    }\n                }\n            )\n        };\n    });\n\n    return viewModel;\n}\n\nfunction styleExtentTexts(selection) {\n    selection\n        .classed(c.cn.axisExtentText, true)\n        .attr('text-anchor', 'middle')\n        .style('cursor', 'default')\n        .style('user-select', 'none');\n}\n\nfunction parcoordsInteractionState() {\n    var linePickActive = true;\n    var contextShown = false;\n    return {\n        linePickActive: function(val) {return arguments.length ? linePickActive = !!val : linePickActive;},\n        contextShown: function(val) {return arguments.length ? contextShown = !!val : contextShown;}\n    };\n}\n\nmodule.exports = function(root, svg, parcoordsLineLayers, styledData, layout, callbacks) {\n\n    var state = parcoordsInteractionState();\n\n    var vm = styledData\n        .filter(function(d) { return unwrap(d).trace.visible; })\n        .map(model.bind(0, layout))\n        .map(viewModel.bind(0, state, callbacks));\n\n    parcoordsLineLayers.each(function(d, i) {\n        return Lib.extendFlat(d, vm[i]);\n    });\n\n    var parcoordsLineLayer = parcoordsLineLayers.selectAll('.gl-canvas')\n        .each(function(d) {\n            // FIXME: figure out how to handle multiple instances\n            d.viewModel = vm[0];\n            d.model = d.viewModel ? d.viewModel.model : null;\n        });\n\n    var lastHovered = null;\n\n    var pickLayer = parcoordsLineLayer.filter(function(d) {return d.pick;});\n\n    // emit hover / unhover event\n    pickLayer\n        .style('pointer-events', 'auto')\n        .on('mousemove', function(d) {\n            if(state.linePickActive() && d.lineLayer && callbacks && callbacks.hover) {\n                var event = d3.event;\n                var cw = this.width;\n                var ch = this.height;\n                var pointer = d3.mouse(this);\n                var x = pointer[0];\n                var y = pointer[1];\n\n                if(x < 0 || y < 0 || x >= cw || y >= ch) {\n                    return;\n                }\n                var pixel = d.lineLayer.readPixel(x, ch - 1 - y);\n                var found = pixel[3] !== 0;\n                // inverse of the calcPickColor in `lines.js`; detailed comment there\n                var curveNumber = found ? pixel[2] + 256 * (pixel[1] + 256 * pixel[0]) : null;\n                var eventData = {\n                    x: x,\n                    y: y,\n                    clientX: event.clientX,\n                    clientY: event.clientY,\n                    dataIndex: d.model.key,\n                    curveNumber: curveNumber\n                };\n                if(curveNumber !== lastHovered) { // don't unnecessarily repeat the same hit (or miss)\n                    if(found) {\n                        callbacks.hover(eventData);\n                    } else if(callbacks.unhover) {\n                        callbacks.unhover(eventData);\n                    }\n                    lastHovered = curveNumber;\n                }\n            }\n        });\n\n    parcoordsLineLayer\n        .style('opacity', function(d) {return d.pick ? 0.01 : 1;});\n\n    svg.style('background', 'rgba(255, 255, 255, 0)');\n    var parcoordsControlOverlay = svg.selectAll('.' + c.cn.parcoords)\n        .data(vm, keyFun);\n\n    parcoordsControlOverlay.exit().remove();\n\n    parcoordsControlOverlay.enter()\n        .append('g')\n        .classed(c.cn.parcoords, true)\n        .style('shape-rendering', 'crispEdges')\n        .style('pointer-events', 'none');\n\n    parcoordsControlOverlay.attr('transform', function(d) {\n        return 'translate(' + d.model.translateX + ',' + d.model.translateY + ')';\n    });\n\n    var parcoordsControlView = parcoordsControlOverlay.selectAll('.' + c.cn.parcoordsControlView)\n        .data(repeat, keyFun);\n\n    parcoordsControlView.enter()\n        .append('g')\n        .classed(c.cn.parcoordsControlView, true);\n\n    parcoordsControlView.attr('transform', function(d) {\n        return 'translate(' + d.model.pad.l + ',' + d.model.pad.t + ')';\n    });\n\n    var yAxis = parcoordsControlView.selectAll('.' + c.cn.yAxis)\n        .data(function(vm) { return vm.dimensions; }, keyFun);\n\n    function updatePanelLayout(yAxis, vm) {\n        var panels = vm.panels || (vm.panels = []);\n        var dimData = yAxis.data();\n        var panelCount = dimData.length - 1;\n        for(var p = 0; p < panelCount; p++) {\n            var panel = panels[p] || (panels[p] = {});\n            var dim1 = dimData[p];\n            var dim2 = dimData[p + 1];\n            panel.dim1 = dim1;\n            panel.dim2 = dim2;\n            panel.canvasX = dim1.canvasX;\n            panel.panelSizeX = dim2.canvasX - dim1.canvasX;\n            panel.panelSizeY = vm.model.canvasHeight;\n            panel.y = 0;\n            panel.canvasY = 0;\n        }\n    }\n\n    yAxis.enter()\n        .append('g')\n        .classed(c.cn.yAxis, true);\n\n    parcoordsControlView.each(function(vm) {\n        updatePanelLayout(yAxis, vm);\n    });\n\n    parcoordsLineLayer\n        .each(function(d) {\n            if(d.viewModel) {\n                if(!d.lineLayer || callbacks) { // recreate in case of having callbacks e.g. restyle. Should we test for callback to be a restyle?\n                    d.lineLayer = lineLayerMaker(this, d);\n                } else d.lineLayer.update(d);\n\n                if(d.key || d.key === 0) d.viewModel[d.key] = d.lineLayer;\n\n                var setChanged = (!d.context || // don't update background\n                                  callbacks);   // unless there is a callback on the context layer. Should we test the callback?\n\n                d.lineLayer.render(d.viewModel.panels, setChanged);\n            }\n        });\n\n    yAxis.attr('transform', function(d) {\n        return 'translate(' + d.xScale(d.xIndex) + ', 0)';\n    });\n\n    // drag column for reordering columns\n    yAxis.call(d3.behavior.drag()\n        .origin(function(d) { return d; })\n        .on('drag', function(d) {\n            var p = d.parent;\n            state.linePickActive(false);\n            d.x = Math.max(-c.overdrag, Math.min(d.model.width + c.overdrag, d3.event.x));\n            d.canvasX = d.x * d.model.canvasPixelRatio;\n            yAxis\n                .sort(function(a, b) { return a.x - b.x; })\n                .each(function(dd, i) {\n                    dd.xIndex = i;\n                    dd.x = d === dd ? dd.x : dd.xScale(dd.xIndex);\n                    dd.canvasX = dd.x * dd.model.canvasPixelRatio;\n                });\n\n            updatePanelLayout(yAxis, p);\n\n            yAxis.filter(function(dd) { return Math.abs(d.xIndex - dd.xIndex) !== 0; })\n                .attr('transform', function(d) { return 'translate(' + d.xScale(d.xIndex) + ', 0)'; });\n            d3.select(this).attr('transform', 'translate(' + d.x + ', 0)');\n            yAxis.each(function(dd, i, ii) { if(ii === d.parent.key) p.dimensions[i] = dd; });\n            p.contextLayer && p.contextLayer.render(p.panels, false, !someFiltersActive(p));\n            p.focusLayer.render && p.focusLayer.render(p.panels);\n        })\n        .on('dragend', function(d) {\n            var p = d.parent;\n            d.x = d.xScale(d.xIndex);\n            d.canvasX = d.x * d.model.canvasPixelRatio;\n            updatePanelLayout(yAxis, p);\n            d3.select(this)\n                .attr('transform', function(d) { return 'translate(' + d.x + ', 0)'; });\n            p.contextLayer && p.contextLayer.render(p.panels, false, !someFiltersActive(p));\n            p.focusLayer && p.focusLayer.render(p.panels);\n            p.pickLayer && p.pickLayer.render(p.panels, true);\n            state.linePickActive(true);\n\n            if(callbacks && callbacks.axesMoved) {\n                callbacks.axesMoved(p.key, p.dimensions.map(function(dd) {return dd.crossfilterDimensionIndex;}));\n            }\n        })\n    );\n\n    yAxis.exit()\n        .remove();\n\n    var axisOverlays = yAxis.selectAll('.' + c.cn.axisOverlays)\n        .data(repeat, keyFun);\n\n    axisOverlays.enter()\n        .append('g')\n        .classed(c.cn.axisOverlays, true);\n\n    axisOverlays.selectAll('.' + c.cn.axis).remove();\n\n    var axis = axisOverlays.selectAll('.' + c.cn.axis)\n        .data(repeat, keyFun);\n\n    axis.enter()\n        .append('g')\n        .classed(c.cn.axis, true);\n\n    axis\n        .each(function(d) {\n            var wantedTickCount = d.model.height / d.model.tickDistance;\n            var scale = d.domainScale;\n            var sdom = scale.domain();\n            d3.select(this)\n                .call(d3.svg.axis()\n                    .orient('left')\n                    .tickSize(4)\n                    .outerTickSize(2)\n                    .ticks(wantedTickCount, d.tickFormat) // works for continuous scales only...\n                    .tickValues(d.ordinal ? // and this works for ordinal scales\n                        sdom :\n                        null)\n                    .tickFormat(d.ordinal ? function(d) { return d; } : null)\n                    .scale(scale));\n            Drawing.font(axis.selectAll('text'), d.model.tickFont);\n        });\n\n    axis.selectAll('.domain, .tick>line')\n        .attr('fill', 'none')\n        .attr('stroke', 'black')\n        .attr('stroke-opacity', 0.25)\n        .attr('stroke-width', '1px');\n\n    axis.selectAll('text')\n        .style('text-shadow', '1px 1px 1px #fff, -1px -1px 1px #fff, 1px -1px 1px #fff, -1px 1px 1px #fff')\n        .style('cursor', 'default')\n        .style('user-select', 'none');\n\n    var axisHeading = axisOverlays.selectAll('.' + c.cn.axisHeading)\n        .data(repeat, keyFun);\n\n    axisHeading.enter()\n        .append('g')\n        .classed(c.cn.axisHeading, true);\n\n    var axisTitle = axisHeading.selectAll('.' + c.cn.axisTitle)\n        .data(repeat, keyFun);\n\n    axisTitle.enter()\n        .append('text')\n        .classed(c.cn.axisTitle, true)\n        .attr('text-anchor', 'middle')\n        .style('cursor', 'ew-resize')\n        .style('user-select', 'none')\n        .style('pointer-events', 'auto');\n\n    axisTitle\n        .attr('transform', 'translate(0,' + -c.axisTitleOffset + ')')\n        .text(function(d) { return d.label; })\n        .each(function(d) { Drawing.font(d3.select(this), d.model.labelFont); });\n\n    var axisExtent = axisOverlays.selectAll('.' + c.cn.axisExtent)\n        .data(repeat, keyFun);\n\n    axisExtent.enter()\n        .append('g')\n        .classed(c.cn.axisExtent, true);\n\n    var axisExtentTop = axisExtent.selectAll('.' + c.cn.axisExtentTop)\n        .data(repeat, keyFun);\n\n    axisExtentTop.enter()\n        .append('g')\n        .classed(c.cn.axisExtentTop, true);\n\n    axisExtentTop\n        .attr('transform', 'translate(' + 0 + ',' + -c.axisExtentOffset + ')');\n\n    var axisExtentTopText = axisExtentTop.selectAll('.' + c.cn.axisExtentTopText)\n        .data(repeat, keyFun);\n\n    function extremeText(d, isTop) {\n        if(d.ordinal) return '';\n        var domain = d.domainScale.domain();\n        return d3.format(d.tickFormat)(domain[isTop ? domain.length - 1 : 0]);\n    }\n\n    axisExtentTopText.enter()\n        .append('text')\n        .classed(c.cn.axisExtentTopText, true)\n        .call(styleExtentTexts);\n\n    axisExtentTopText\n        .text(function(d) { return extremeText(d, true); })\n        .each(function(d) { Drawing.font(d3.select(this), d.model.rangeFont); });\n\n    var axisExtentBottom = axisExtent.selectAll('.' + c.cn.axisExtentBottom)\n        .data(repeat, keyFun);\n\n    axisExtentBottom.enter()\n        .append('g')\n        .classed(c.cn.axisExtentBottom, true);\n\n    axisExtentBottom\n        .attr('transform', function(d) {\n            return 'translate(' + 0 + ',' + (d.model.height + c.axisExtentOffset) + ')';\n        });\n\n    var axisExtentBottomText = axisExtentBottom.selectAll('.' + c.cn.axisExtentBottomText)\n        .data(repeat, keyFun);\n\n    axisExtentBottomText.enter()\n        .append('text')\n        .classed(c.cn.axisExtentBottomText, true)\n        .attr('dy', '0.75em')\n        .call(styleExtentTexts);\n\n    axisExtentBottomText\n        .text(function(d) { return extremeText(d); })\n        .each(function(d) { Drawing.font(d3.select(this), d.model.rangeFont); });\n\n    brush.ensureAxisBrush(axisOverlays);\n};\n\n},{\"../../components/drawing\":595,\"../../lib\":696,\"../../lib/gup\":693,\"./axisbrush\":1009,\"./constants\":1012,\"./lines\":1015,\"d3\":148}],1018:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar parcoords = _dereq_('./parcoords');\nvar prepareRegl = _dereq_('../../lib/prepare_regl');\n\nmodule.exports = function plot(gd, cdparcoords) {\n    var fullLayout = gd._fullLayout;\n    var svg = fullLayout._toppaper;\n    var root = fullLayout._paperdiv;\n    var container = fullLayout._glcontainer;\n\n    var success = prepareRegl(gd);\n    if(!success) return;\n\n    var gdDimensions = {};\n    var gdDimensionsOriginalOrder = {};\n\n    var size = fullLayout._size;\n\n    cdparcoords.forEach(function(d, i) {\n        gdDimensions[i] = gd.data[i].dimensions;\n        gdDimensionsOriginalOrder[i] = gd.data[i].dimensions.slice();\n    });\n\n    var filterChanged = function(i, originalDimensionIndex, newRanges) {\n\n        // Have updated `constraintrange` data on `gd.data` and raise `Plotly.restyle` event\n        // without having to incur heavy UI blocking due to an actual `Plotly.restyle` call\n\n        var gdDimension = gdDimensionsOriginalOrder[i][originalDimensionIndex];\n        var newConstraints = newRanges.map(function(r) { return r.slice(); });\n        if(!newConstraints.length) {\n            delete gdDimension.constraintrange;\n            newConstraints = null;\n        }\n        else {\n            if(newConstraints.length === 1) newConstraints = newConstraints[0];\n            gdDimension.constraintrange = newConstraints;\n            // wrap in another array for restyle event data\n            newConstraints = [newConstraints];\n        }\n\n        var restyleData = {};\n        var aStr = 'dimensions[' + originalDimensionIndex + '].constraintrange';\n        restyleData[aStr] = newConstraints;\n        gd.emit('plotly_restyle', [restyleData, [i]]);\n    };\n\n    var hover = function(eventData) {\n        gd.emit('plotly_hover', eventData);\n    };\n\n    var unhover = function(eventData) {\n        gd.emit('plotly_unhover', eventData);\n    };\n\n    var axesMoved = function(i, visibleIndices) {\n\n        // Have updated order data on `gd.data` and raise `Plotly.restyle` event\n        // without having to incur heavy UI blocking due to an actual `Plotly.restyle` call\n\n        function visible(dimension) {return !('visible' in dimension) || dimension.visible;}\n\n        function newIdx(visibleIndices, orig, dim) {\n            var origIndex = orig.indexOf(dim);\n            var currentIndex = visibleIndices.indexOf(origIndex);\n            if(currentIndex === -1) {\n                // invisible dimensions initially go to the end\n                currentIndex += orig.length;\n            }\n            return currentIndex;\n        }\n\n        function sorter(orig) {\n            return function sorter(d1, d2) {\n                var i1 = newIdx(visibleIndices, orig, d1);\n                var i2 = newIdx(visibleIndices, orig, d2);\n                return i1 - i2;\n            };\n        }\n\n        // drag&drop sorting of the visible dimensions\n        var orig = sorter(gdDimensionsOriginalOrder[i].filter(visible));\n        gdDimensions[i].sort(orig);\n\n        // invisible dimensions are not interpreted in the context of drag&drop sorting as an invisible dimension\n        // cannot be dragged; they're interspersed into their original positions by this subsequent merging step\n        gdDimensionsOriginalOrder[i].filter(function(d) {return !visible(d);})\n             .sort(function(d) {\n                 // subsequent splicing to be done left to right, otherwise indices may be incorrect\n                 return gdDimensionsOriginalOrder[i].indexOf(d);\n             })\n            .forEach(function(d) {\n                gdDimensions[i].splice(gdDimensions[i].indexOf(d), 1); // remove from the end\n                gdDimensions[i].splice(gdDimensionsOriginalOrder[i].indexOf(d), 0, d); // insert at original index\n            });\n\n        gd.emit('plotly_restyle');\n    };\n\n    parcoords(\n        root,\n        svg,\n        container,\n        cdparcoords,\n        {\n            width: size.w,\n            height: size.h,\n            margin: {\n                t: size.t,\n                r: size.r,\n                b: size.b,\n                l: size.l\n            }\n        },\n        {\n            filterChanged: filterChanged,\n            hover: hover,\n            unhover: unhover,\n            axesMoved: axesMoved\n        });\n};\n\n},{\"../../lib/prepare_regl\":710,\"./parcoords\":1017}],1019:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorAttrs = _dereq_('../../components/color/attributes');\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar plotAttrs = _dereq_('../../plots/attributes');\nvar domainAttrs = _dereq_('../../plots/domain').attributes;\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar textFontAttrs = fontAttrs({\n    editType: 'calc',\n    arrayOk: true,\n    colorEditType: 'style',\n    \n});\n\nmodule.exports = {\n    labels: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    // equivalent of x0 and dx, if label is missing\n    label0: {\n        valType: 'number',\n        \n        dflt: 0,\n        editType: 'calc',\n        \n    },\n    dlabel: {\n        valType: 'number',\n        \n        dflt: 1,\n        editType: 'calc',\n        \n    },\n\n    values: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n\n    marker: {\n        colors: {\n            valType: 'data_array',  // TODO 'color_array' ?\n            editType: 'calc',\n            \n        },\n\n        line: {\n            color: {\n                valType: 'color',\n                \n                dflt: colorAttrs.defaultLine,\n                arrayOk: true,\n                editType: 'style',\n                \n            },\n            width: {\n                valType: 'number',\n                \n                min: 0,\n                dflt: 0,\n                arrayOk: true,\n                editType: 'style',\n                \n            },\n            editType: 'calc'\n        },\n        editType: 'calc'\n    },\n\n    text: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    hovertext: {\n        valType: 'string',\n        \n        dflt: '',\n        arrayOk: true,\n        editType: 'style',\n        \n    },\n\n// 'see eg:'\n// 'https://www.e-education.psu.edu/natureofgeoinfo/sites/www.e-education.psu.edu.natureofgeoinfo/files/image/hisp_pies.gif',\n// '(this example involves a map too - may someday be a whole trace type',\n// 'of its own. but the point is the size of the whole pie is important.)'\n    scalegroup: {\n        valType: 'string',\n        \n        dflt: '',\n        editType: 'calc',\n        \n    },\n\n    // labels (legend is handled by plots.attributes.showlegend and layout.hiddenlabels)\n    textinfo: {\n        valType: 'flaglist',\n        \n        flags: ['label', 'text', 'value', 'percent'],\n        extras: ['none'],\n        editType: 'calc',\n        \n    },\n    hoverinfo: extendFlat({}, plotAttrs.hoverinfo, {\n        flags: ['label', 'text', 'value', 'percent', 'name']\n    }),\n    textposition: {\n        valType: 'enumerated',\n        \n        values: ['inside', 'outside', 'auto', 'none'],\n        dflt: 'auto',\n        arrayOk: true,\n        editType: 'calc',\n        \n    },\n    textfont: extendFlat({}, textFontAttrs, {\n        \n    }),\n    insidetextfont: extendFlat({}, textFontAttrs, {\n        \n    }),\n    outsidetextfont: extendFlat({}, textFontAttrs, {\n        \n    }),\n\n    title: {\n        valType: 'string',\n        dflt: '',\n        \n        editType: 'calc',\n        \n    },\n    titleposition: {\n        valType: 'enumerated',\n        values: [\n            'top left', 'top center', 'top right',\n            'middle center',\n            'bottom left', 'bottom center', 'bottom right'\n        ],\n        \n        editType: 'calc',\n        \n    },\n    titlefont: extendFlat({}, textFontAttrs, {\n        \n    }),\n\n    // position and shape\n    domain: domainAttrs({name: 'pie', trace: true, editType: 'calc'}),\n\n    hole: {\n        valType: 'number',\n        \n        min: 0,\n        max: 1,\n        dflt: 0,\n        editType: 'calc',\n        \n    },\n\n    // ordering and direction\n    sort: {\n        valType: 'boolean',\n        \n        dflt: true,\n        editType: 'calc',\n        \n    },\n    direction: {\n        /**\n         * there are two common conventions, both of which place the first\n         * (largest, if sorted) slice with its left edge at 12 o'clock but\n         * succeeding slices follow either cw or ccw from there.\n         *\n         * see http://visage.co/data-visualization-101-pie-charts/\n         */\n        valType: 'enumerated',\n        values: ['clockwise', 'counterclockwise'],\n        \n        dflt: 'counterclockwise',\n        editType: 'calc',\n        \n    },\n    rotation: {\n        valType: 'number',\n        \n        min: -360,\n        max: 360,\n        dflt: 0,\n        editType: 'calc',\n        \n    },\n\n    pull: {\n        valType: 'number',\n        \n        min: 0,\n        max: 1,\n        dflt: 0,\n        arrayOk: true,\n        editType: 'calc',\n        \n    }\n};\n\n},{\"../../components/color/attributes\":569,\"../../lib/extend\":685,\"../../plots/attributes\":742,\"../../plots/domain\":771,\"../../plots/font_attributes\":772}],1020:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar getModuleCalcData = _dereq_('../../plots/get_data').getModuleCalcData;\n\nexports.name = 'pie';\n\nexports.plot = function(gd) {\n    var Pie = Registry.getModule('pie');\n    var cdPie = getModuleCalcData(gd.calcdata, Pie)[0];\n\n    if(cdPie.length) Pie.plot(gd, cdPie);\n};\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var hadPie = (oldFullLayout._has && oldFullLayout._has('pie'));\n    var hasPie = (newFullLayout._has && newFullLayout._has('pie'));\n\n    if(hadPie && !hasPie) {\n        oldFullLayout._pielayer.selectAll('g.trace').remove();\n    }\n};\n\n},{\"../../plots/get_data\":782,\"../../registry\":828}],1021:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar isArrayOrTypedArray = _dereq_('../../lib').isArrayOrTypedArray;\nvar tinycolor = _dereq_('tinycolor2');\n\nvar Color = _dereq_('../../components/color');\nvar helpers = _dereq_('./helpers');\n\nexports.calc = function calc(gd, trace) {\n    var vals = trace.values;\n    var hasVals = isArrayOrTypedArray(vals) && vals.length;\n    var labels = trace.labels;\n    var colors = trace.marker.colors || [];\n    var cd = [];\n    var fullLayout = gd._fullLayout;\n    var colorMap = fullLayout._piecolormap;\n    var allThisTraceLabels = {};\n    var vTotal = 0;\n    var hiddenLabels = fullLayout.hiddenlabels || [];\n\n    var i, v, label, hidden, pt;\n\n    if(trace.dlabel) {\n        labels = new Array(vals.length);\n        for(i = 0; i < vals.length; i++) {\n            labels[i] = String(trace.label0 + i * trace.dlabel);\n        }\n    }\n\n    function pullColor(color, label) {\n        if(!color) return false;\n\n        color = tinycolor(color);\n        if(!color.isValid()) return false;\n\n        color = Color.addOpacity(color, color.getAlpha());\n        if(!colorMap[label]) colorMap[label] = color;\n\n        return color;\n    }\n\n    var seriesLen = (hasVals ? vals : labels).length;\n\n    for(i = 0; i < seriesLen; i++) {\n        if(hasVals) {\n            v = vals[i];\n            if(!isNumeric(v)) continue;\n            v = +v;\n            if(v < 0) continue;\n        }\n        else v = 1;\n\n        label = labels[i];\n        if(label === undefined || label === '') label = i;\n        label = String(label);\n\n        var thisLabelIndex = allThisTraceLabels[label];\n        if(thisLabelIndex === undefined) {\n            allThisTraceLabels[label] = cd.length;\n\n            hidden = hiddenLabels.indexOf(label) !== -1;\n\n            if(!hidden) vTotal += v;\n\n            cd.push({\n                v: v,\n                label: label,\n                color: pullColor(colors[i], label),\n                i: i,\n                pts: [i],\n                hidden: hidden\n            });\n        }\n        else {\n            pt = cd[thisLabelIndex];\n            pt.v += v;\n            pt.pts.push(i);\n            if(!pt.hidden) vTotal += v;\n\n            if(pt.color === false && colors[i]) {\n                pt.color = pullColor(colors[i], label);\n            }\n        }\n    }\n\n    if(trace.sort) cd.sort(function(a, b) { return b.v - a.v; });\n\n    // include the sum of all values in the first point\n    if(cd[0]) cd[0].vTotal = vTotal;\n\n    // now insert text\n    if(trace.textinfo && trace.textinfo !== 'none') {\n        var hasLabel = trace.textinfo.indexOf('label') !== -1;\n        var hasText = trace.textinfo.indexOf('text') !== -1;\n        var hasValue = trace.textinfo.indexOf('value') !== -1;\n        var hasPercent = trace.textinfo.indexOf('percent') !== -1;\n        var separators = fullLayout.separators;\n\n        var thisText;\n\n        for(i = 0; i < cd.length; i++) {\n            pt = cd[i];\n            thisText = hasLabel ? [pt.label] : [];\n            if(hasText) {\n                var texti = helpers.getFirstFilled(trace.text, pt.pts);\n                if(texti) thisText.push(texti);\n            }\n            if(hasValue) thisText.push(helpers.formatPieValue(pt.v, separators));\n            if(hasPercent) thisText.push(helpers.formatPiePercent(pt.v / vTotal, separators));\n            pt.text = thisText.join('<br>');\n        }\n    }\n\n    return cd;\n};\n\n/*\n * `calc` filled in (and collated) explicit colors.\n * Now we need to propagate these explicit colors to other traces,\n * and fill in default colors.\n * This is done after sorting, so we pick defaults\n * in the order slices will be displayed\n */\nexports.crossTraceCalc = function(gd) {\n    var fullLayout = gd._fullLayout;\n    var calcdata = gd.calcdata;\n    var pieColorWay = fullLayout.piecolorway;\n    var colorMap = fullLayout._piecolormap;\n\n    if(fullLayout.extendpiecolors) {\n        pieColorWay = generateExtendedColors(pieColorWay);\n    }\n    var dfltColorCount = 0;\n\n    var i, j, cd, pt;\n    for(i = 0; i < calcdata.length; i++) {\n        cd = calcdata[i];\n        if(cd[0].trace.type !== 'pie') continue;\n\n        for(j = 0; j < cd.length; j++) {\n            pt = cd[j];\n            if(pt.color === false) {\n                // have we seen this label and assigned a color to it in a previous trace?\n                if(colorMap[pt.label]) {\n                    pt.color = colorMap[pt.label];\n                }\n                else {\n                    colorMap[pt.label] = pt.color = pieColorWay[dfltColorCount % pieColorWay.length];\n                    dfltColorCount++;\n                }\n            }\n        }\n    }\n};\n\n/**\n * pick a default color from the main default set, augmented by\n * itself lighter then darker before repeating\n */\nvar extendedColorWays = {};\n\nfunction generateExtendedColors(colorList) {\n    var i;\n    var colorString = JSON.stringify(colorList);\n    var pieColors = extendedColorWays[colorString];\n    if(!pieColors) {\n        pieColors = colorList.slice();\n\n        for(i = 0; i < colorList.length; i++) {\n            pieColors.push(tinycolor(colorList[i]).lighten(20).toHexString());\n        }\n\n        for(i = 0; i < colorList.length; i++) {\n            pieColors.push(tinycolor(colorList[i]).darken(20).toHexString());\n        }\n        extendedColorWays[colorString] = pieColors;\n    }\n\n    return pieColors;\n}\n\n},{\"../../components/color\":570,\"../../lib\":696,\"./helpers\":1024,\"fast-isnumeric\":214,\"tinycolor2\":514}],1022:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar attributes = _dereq_('./attributes');\nvar handleDomainDefaults = _dereq_('../../plots/domain').defaults;\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var coerceFont = Lib.coerceFont;\n    var len;\n\n    var vals = coerce('values');\n    var hasVals = Lib.isArrayOrTypedArray(vals);\n    var labels = coerce('labels');\n    if(Array.isArray(labels)) {\n        len = labels.length;\n        if(hasVals) len = Math.min(len, vals.length);\n    }\n    else if(hasVals) {\n        len = vals.length;\n\n        coerce('label0');\n        coerce('dlabel');\n    }\n\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n    traceOut._length = len;\n\n    var lineWidth = coerce('marker.line.width');\n    if(lineWidth) coerce('marker.line.color');\n\n    coerce('marker.colors');\n\n    coerce('scalegroup');\n    // TODO: hole needs to be coerced to the same value within a scaleegroup\n\n    var textData = coerce('text');\n    var textInfo = coerce('textinfo', Array.isArray(textData) ? 'text+percent' : 'percent');\n    coerce('hovertext');\n\n    if(textInfo && textInfo !== 'none') {\n        var textPosition = coerce('textposition'),\n            hasBoth = Array.isArray(textPosition) || textPosition === 'auto',\n            hasInside = hasBoth || textPosition === 'inside',\n            hasOutside = hasBoth || textPosition === 'outside';\n\n        if(hasInside || hasOutside) {\n            var dfltFont = coerceFont(coerce, 'textfont', layout.font);\n            if(hasInside) {\n                var insideTextFontDefault = Lib.extendFlat({}, dfltFont);\n                var isTraceTextfontColorSet = traceIn.textfont && traceIn.textfont.color;\n                var isColorInheritedFromLayoutFont = !isTraceTextfontColorSet;\n                if(isColorInheritedFromLayoutFont) {\n                    delete insideTextFontDefault.color;\n                }\n                coerceFont(coerce, 'insidetextfont', insideTextFontDefault);\n            }\n            if(hasOutside) coerceFont(coerce, 'outsidetextfont', dfltFont);\n        }\n    }\n\n    handleDomainDefaults(traceOut, layout, coerce);\n\n    var hole = coerce('hole');\n    var title = coerce('title');\n    if(title) {\n        var titlePosition = coerce('titleposition', hole ? 'middle center' : 'top center');\n        if(!hole && titlePosition === 'middle center') traceOut.titleposition = 'top center';\n        coerceFont(coerce, 'titlefont', layout.font);\n    }\n\n    coerce('sort');\n    coerce('direction');\n    coerce('rotation');\n\n    coerce('pull');\n};\n\n},{\"../../lib\":696,\"../../plots/domain\":771,\"./attributes\":1019}],1023:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar appendArrayMultiPointValues = _dereq_('../../components/fx/helpers').appendArrayMultiPointValues;\n\n\n// Note: like other eventData routines, this creates the data for hover/unhover/click events\n// but it has a different API and goes through a totally different pathway.\n// So to ensure it doesn't get misused, it's not attached to the Pie module.\nmodule.exports = function eventData(pt, trace) {\n    var out = {\n        curveNumber: trace.index,\n        pointNumbers: pt.pts,\n        data: trace._input,\n        fullData: trace,\n        label: pt.label,\n        color: pt.color,\n        value: pt.v,\n\n        // pt.v (and pt.i below) for backward compatibility\n        v: pt.v\n    };\n\n    // Only include pointNumber if it's unambiguous\n    if(pt.pts.length === 1) out.pointNumber = out.i = pt.pts[0];\n\n    // Add extra data arrays to the output\n    // notice that this is the multi-point version ('s' on the end!)\n    // so added data will be arrays matching the pointNumbers array.\n    appendArrayMultiPointValues(out, trace, pt.pts);\n\n    return out;\n};\n\n},{\"../../components/fx/helpers\":609}],1024:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nexports.formatPiePercent = function formatPiePercent(v, separators) {\n    var vRounded = (v * 100).toPrecision(3);\n    if(vRounded.lastIndexOf('.') !== -1) {\n        vRounded = vRounded.replace(/[.]?0+$/, '');\n    }\n    return Lib.numSeparate(vRounded, separators) + '%';\n};\n\nexports.formatPieValue = function formatPieValue(v, separators) {\n    var vRounded = v.toPrecision(10);\n    if(vRounded.lastIndexOf('.') !== -1) {\n        vRounded = vRounded.replace(/[.]?0+$/, '');\n    }\n    return Lib.numSeparate(vRounded, separators);\n};\n\nexports.getFirstFilled = function getFirstFilled(array, indices) {\n    if(!Array.isArray(array)) return;\n    for(var i = 0; i < indices.length; i++) {\n        var v = array[indices[i]];\n        if(v || v === 0) return v;\n    }\n};\n\nexports.castOption = function castOption(item, indices) {\n    if(Array.isArray(item)) return exports.getFirstFilled(item, indices);\n    else if(item) return item;\n};\n\n},{\"../../lib\":696}],1025:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Pie = {};\n\nPie.attributes = _dereq_('./attributes');\nPie.supplyDefaults = _dereq_('./defaults');\nPie.supplyLayoutDefaults = _dereq_('./layout_defaults');\nPie.layoutAttributes = _dereq_('./layout_attributes');\n\nvar calcModule = _dereq_('./calc');\nPie.calc = calcModule.calc;\nPie.crossTraceCalc = calcModule.crossTraceCalc;\n\nPie.plot = _dereq_('./plot');\nPie.style = _dereq_('./style');\nPie.styleOne = _dereq_('./style_one');\n\nPie.moduleType = 'trace';\nPie.name = 'pie';\nPie.basePlotModule = _dereq_('./base_plot');\nPie.categories = ['pie', 'showLegend'];\nPie.meta = {\n    \n};\n\nmodule.exports = Pie;\n\n},{\"./attributes\":1019,\"./base_plot\":1020,\"./calc\":1021,\"./defaults\":1022,\"./layout_attributes\":1026,\"./layout_defaults\":1027,\"./plot\":1028,\"./style\":1029,\"./style_one\":1030}],1026:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    /**\n     * hiddenlabels is the pie chart analog of visible:'legendonly'\n     * but it can contain many labels, and can hide slices\n     * from several pies simultaneously\n     */\n    hiddenlabels: {\n        valType: 'data_array',\n        editType: 'calc'\n    },\n    piecolorway: {\n        valType: 'colorlist',\n        \n        editType: 'calc',\n        \n    },\n    extendpiecolors: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'calc',\n        \n    }\n};\n\n},{}],1027:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar layoutAttributes = _dereq_('./layout_attributes');\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(layoutIn, layoutOut, layoutAttributes, attr, dflt);\n    }\n    coerce('hiddenlabels');\n    coerce('piecolorway', layoutOut.colorway);\n    coerce('extendpiecolors');\n};\n\n},{\"../../lib\":696,\"./layout_attributes\":1026}],1028:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Fx = _dereq_('../../components/fx');\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\nvar Lib = _dereq_('../../lib');\nvar svgTextUtils = _dereq_('../../lib/svg_text_utils');\n\nvar helpers = _dereq_('./helpers');\nvar eventData = _dereq_('./event_data');\n\nmodule.exports = function plot(gd, cdpie) {\n    var fullLayout = gd._fullLayout;\n\n    prerenderTitles(cdpie, gd);\n    scalePies(cdpie, fullLayout._size);\n\n    var pieGroups = Lib.makeTraceGroups(fullLayout._pielayer, cdpie, 'trace').each(function(cd) {\n        var pieGroup = d3.select(this);\n        var cd0 = cd[0];\n        var trace = cd0.trace;\n\n        setCoords(cd);\n\n        // TODO: miter might look better but can sometimes cause problems\n        // maybe miter with a small-ish stroke-miterlimit?\n        pieGroup.attr('stroke-linejoin', 'round');\n\n        pieGroup.each(function() {\n            var slices = d3.select(this).selectAll('g.slice').data(cd);\n\n            slices.enter().append('g')\n                .classed('slice', true);\n            slices.exit().remove();\n\n            var quadrants = [\n                [[], []], // y<0: x<0, x>=0\n                [[], []] // y>=0: x<0, x>=0\n            ];\n            var hasOutsideText = false;\n\n            slices.each(function(pt) {\n                if(pt.hidden) {\n                    d3.select(this).selectAll('path,g').remove();\n                    return;\n                }\n\n                // to have consistent event data compared to other traces\n                pt.pointNumber = pt.i;\n                pt.curveNumber = trace.index;\n\n                quadrants[pt.pxmid[1] < 0 ? 0 : 1][pt.pxmid[0] < 0 ? 0 : 1].push(pt);\n\n                var cx = cd0.cx;\n                var cy = cd0.cy;\n                var sliceTop = d3.select(this);\n                var slicePath = sliceTop.selectAll('path.surface').data([pt]);\n\n                // hover state vars\n                // have we drawn a hover label, so it should be cleared later\n                var hasHoverLabel = false;\n                // have we emitted a hover event, so later an unhover event should be emitted\n                // note that click events do not depend on this - you can still get them\n                // with hovermode: false or if you were earlier dragging, then clicked\n                // in the same slice that you moused up in\n                var hasHoverEvent = false;\n\n                function handleMouseOver() {\n                    // in case fullLayout or fullData has changed without a replot\n                    var fullLayout2 = gd._fullLayout;\n                    var trace2 = gd._fullData[trace.index];\n\n                    if(gd._dragging || fullLayout2.hovermode === false) return;\n\n                    var hoverinfo = trace2.hoverinfo;\n                    if(Array.isArray(hoverinfo)) {\n                        // super hacky: we need to pull out the *first* hoverinfo from\n                        // pt.pts, then put it back into an array in a dummy trace\n                        // and call castHoverinfo on that.\n                        // TODO: do we want to have Fx.castHoverinfo somehow handle this?\n                        // it already takes an array for index, for 2D, so this seems tricky.\n                        hoverinfo = Fx.castHoverinfo({\n                            hoverinfo: [helpers.castOption(hoverinfo, pt.pts)],\n                            _module: trace._module\n                        }, fullLayout2, 0);\n                    }\n\n                    if(hoverinfo === 'all') hoverinfo = 'label+text+value+percent+name';\n\n                    // in case we dragged over the pie from another subplot,\n                    // or if hover is turned off\n                    if(hoverinfo !== 'none' && hoverinfo !== 'skip' && hoverinfo) {\n                        var rInscribed = getInscribedRadiusFraction(pt, cd0);\n                        var hoverCenterX = cx + pt.pxmid[0] * (1 - rInscribed);\n                        var hoverCenterY = cy + pt.pxmid[1] * (1 - rInscribed);\n                        var separators = fullLayout.separators;\n                        var thisText = [];\n\n                        if(hoverinfo.indexOf('label') !== -1) thisText.push(pt.label);\n                        if(hoverinfo.indexOf('text') !== -1) {\n                            var texti = helpers.castOption(trace2.hovertext || trace2.text, pt.pts);\n                            if(texti) thisText.push(texti);\n                        }\n                        if(hoverinfo.indexOf('value') !== -1) thisText.push(helpers.formatPieValue(pt.v, separators));\n                        if(hoverinfo.indexOf('percent') !== -1) thisText.push(helpers.formatPiePercent(pt.v / cd0.vTotal, separators));\n\n                        var hoverLabel = trace.hoverlabel;\n                        var hoverFont = hoverLabel.font;\n\n                        Fx.loneHover({\n                            x0: hoverCenterX - rInscribed * cd0.r,\n                            x1: hoverCenterX + rInscribed * cd0.r,\n                            y: hoverCenterY,\n                            text: thisText.join('<br>'),\n                            name: hoverinfo.indexOf('name') !== -1 ? trace2.name : undefined,\n                            idealAlign: pt.pxmid[0] < 0 ? 'left' : 'right',\n                            color: helpers.castOption(hoverLabel.bgcolor, pt.pts) || pt.color,\n                            borderColor: helpers.castOption(hoverLabel.bordercolor, pt.pts),\n                            fontFamily: helpers.castOption(hoverFont.family, pt.pts),\n                            fontSize: helpers.castOption(hoverFont.size, pt.pts),\n                            fontColor: helpers.castOption(hoverFont.color, pt.pts)\n                        }, {\n                            container: fullLayout2._hoverlayer.node(),\n                            outerContainer: fullLayout2._paper.node(),\n                            gd: gd\n                        });\n\n                        hasHoverLabel = true;\n                    }\n\n                    gd.emit('plotly_hover', {\n                        points: [eventData(pt, trace2)],\n                        event: d3.event\n                    });\n                    hasHoverEvent = true;\n                }\n\n                function handleMouseOut(evt) {\n                    var fullLayout2 = gd._fullLayout;\n                    var trace2 = gd._fullData[trace.index];\n\n                    if(hasHoverEvent) {\n                        evt.originalEvent = d3.event;\n                        gd.emit('plotly_unhover', {\n                            points: [eventData(pt, trace2)],\n                            event: d3.event\n                        });\n                        hasHoverEvent = false;\n                    }\n\n                    if(hasHoverLabel) {\n                        Fx.loneUnhover(fullLayout2._hoverlayer.node());\n                        hasHoverLabel = false;\n                    }\n                }\n\n                function handleClick() {\n                    // TODO: this does not support right-click. If we want to support it, we\n                    // would likely need to change pie to use dragElement instead of straight\n                    // mapbox event binding. Or perhaps better, make a simple wrapper with the\n                    // right mousedown, mousemove, and mouseup handlers just for a left/right click\n                    // mapbox would use this too.\n                    var fullLayout2 = gd._fullLayout;\n                    var trace2 = gd._fullData[trace.index];\n\n                    if(gd._dragging || fullLayout2.hovermode === false) return;\n\n                    gd._hoverdata = [eventData(pt, trace2)];\n                    Fx.click(gd, d3.event);\n                }\n\n                slicePath.enter().append('path')\n                    .classed('surface', true)\n                    .style({'pointer-events': 'all'});\n\n                sliceTop.select('path.textline').remove();\n\n                sliceTop\n                    .on('mouseover', handleMouseOver)\n                    .on('mouseout', handleMouseOut)\n                    .on('click', handleClick);\n\n                if(trace.pull) {\n                    var pull = +helpers.castOption(trace.pull, pt.pts) || 0;\n                    if(pull > 0) {\n                        cx += pull * pt.pxmid[0];\n                        cy += pull * pt.pxmid[1];\n                    }\n                }\n\n                pt.cxFinal = cx;\n                pt.cyFinal = cy;\n\n                function arc(start, finish, cw, scale) {\n                    return 'a' + (scale * cd0.r) + ',' + (scale * cd0.r) + ' 0 ' +\n                        pt.largeArc + (cw ? ' 1 ' : ' 0 ') +\n                        (scale * (finish[0] - start[0])) + ',' + (scale * (finish[1] - start[1]));\n                }\n\n                var hole = trace.hole;\n                if(pt.v === cd0.vTotal) { // 100% fails bcs arc start and end are identical\n                    var outerCircle = 'M' + (cx + pt.px0[0]) + ',' + (cy + pt.px0[1]) +\n                        arc(pt.px0, pt.pxmid, true, 1) +\n                        arc(pt.pxmid, pt.px0, true, 1) + 'Z';\n                    if(hole) {\n                        slicePath.attr('d',\n                            'M' + (cx + hole * pt.px0[0]) + ',' + (cy + hole * pt.px0[1]) +\n                            arc(pt.px0, pt.pxmid, false, hole) +\n                            arc(pt.pxmid, pt.px0, false, hole) +\n                            'Z' + outerCircle);\n                    }\n                    else slicePath.attr('d', outerCircle);\n                } else {\n\n                    var outerArc = arc(pt.px0, pt.px1, true, 1);\n\n                    if(hole) {\n                        var rim = 1 - hole;\n                        slicePath.attr('d',\n                            'M' + (cx + hole * pt.px1[0]) + ',' + (cy + hole * pt.px1[1]) +\n                            arc(pt.px1, pt.px0, false, hole) +\n                            'l' + (rim * pt.px0[0]) + ',' + (rim * pt.px0[1]) +\n                            outerArc +\n                            'Z');\n                    } else {\n                        slicePath.attr('d',\n                            'M' + cx + ',' + cy +\n                            'l' + pt.px0[0] + ',' + pt.px0[1] +\n                            outerArc +\n                            'Z');\n                    }\n                }\n\n                // add text\n                var textPosition = helpers.castOption(trace.textposition, pt.pts);\n                var sliceTextGroup = sliceTop.selectAll('g.slicetext')\n                    .data(pt.text && (textPosition !== 'none') ? [0] : []);\n\n                sliceTextGroup.enter().append('g')\n                    .classed('slicetext', true);\n                sliceTextGroup.exit().remove();\n\n                sliceTextGroup.each(function() {\n                    var sliceText = Lib.ensureSingle(d3.select(this), 'text', '', function(s) {\n                        // prohibit tex interpretation until we can handle\n                        // tex and regular text together\n                        s.attr('data-notex', 1);\n                    });\n\n                    sliceText.text(pt.text)\n                        .attr({\n                            'class': 'slicetext',\n                            transform: '',\n                            'text-anchor': 'middle'\n                        })\n                        .call(Drawing.font, textPosition === 'outside' ?\n                          determineOutsideTextFont(trace, pt, gd._fullLayout.font) :\n                          determineInsideTextFont(trace, pt, gd._fullLayout.font))\n                        .call(svgTextUtils.convertToTspans, gd);\n\n                    // position the text relative to the slice\n                    var textBB = Drawing.bBox(sliceText.node());\n                    var transform;\n\n                    if(textPosition === 'outside') {\n                        transform = transformOutsideText(textBB, pt);\n                    } else {\n                        transform = transformInsideText(textBB, pt, cd0);\n                        if(textPosition === 'auto' && transform.scale < 1) {\n                            sliceText.call(Drawing.font, trace.outsidetextfont);\n                            if(trace.outsidetextfont.family !== trace.insidetextfont.family ||\n                                    trace.outsidetextfont.size !== trace.insidetextfont.size) {\n                                textBB = Drawing.bBox(sliceText.node());\n                            }\n                            transform = transformOutsideText(textBB, pt);\n                        }\n                    }\n\n                    var translateX = cx + pt.pxmid[0] * transform.rCenter + (transform.x || 0);\n                    var translateY = cy + pt.pxmid[1] * transform.rCenter + (transform.y || 0);\n\n                    // save some stuff to use later ensure no labels overlap\n                    if(transform.outside) {\n                        pt.yLabelMin = translateY - textBB.height / 2;\n                        pt.yLabelMid = translateY;\n                        pt.yLabelMax = translateY + textBB.height / 2;\n                        pt.labelExtraX = 0;\n                        pt.labelExtraY = 0;\n                        hasOutsideText = true;\n                    }\n\n                    sliceText.attr('transform',\n                        'translate(' + translateX + ',' + translateY + ')' +\n                        (transform.scale < 1 ? ('scale(' + transform.scale + ')') : '') +\n                        (transform.rotate ? ('rotate(' + transform.rotate + ')') : '') +\n                        'translate(' +\n                            (-(textBB.left + textBB.right) / 2) + ',' +\n                            (-(textBB.top + textBB.bottom) / 2) +\n                        ')');\n                });\n            });\n\n            // add the title\n            var titleTextGroup = d3.select(this).selectAll('g.titletext')\n                .data(trace.title ? [0] : []);\n\n            titleTextGroup.enter().append('g')\n                .classed('titletext', true);\n            titleTextGroup.exit().remove();\n\n            titleTextGroup.each(function() {\n                var titleText = Lib.ensureSingle(d3.select(this), 'text', '', function(s) {\n                    // prohibit tex interpretation as above\n                    s.attr('data-notex', 1);\n                });\n\n                titleText.text(trace.title)\n                    .attr({\n                        'class': 'titletext',\n                        transform: '',\n                        'text-anchor': 'middle',\n                    })\n                .call(Drawing.font, trace.titlefont)\n                .call(svgTextUtils.convertToTspans, gd);\n\n                var transform;\n\n                if(trace.titleposition === 'middle center') {\n                    transform = positionTitleInside(cd0);\n                } else {\n                    transform = positionTitleOutside(cd0, fullLayout._size);\n                }\n\n                titleText.attr('transform',\n                    'translate(' + transform.x + ',' + transform.y + ')' +\n                    (transform.scale < 1 ? ('scale(' + transform.scale + ')') : '') +\n                    'translate(' + transform.tx + ',' + transform.ty + ')');\n            });\n\n            // now make sure no labels overlap (at least within one pie)\n            if(hasOutsideText) scootLabels(quadrants, trace);\n            slices.each(function(pt) {\n                if(pt.labelExtraX || pt.labelExtraY) {\n                    // first move the text to its new location\n                    var sliceTop = d3.select(this);\n                    var sliceText = sliceTop.select('g.slicetext text');\n\n                    sliceText.attr('transform', 'translate(' + pt.labelExtraX + ',' + pt.labelExtraY + ')' +\n                        sliceText.attr('transform'));\n\n                    // then add a line to the new location\n                    var lineStartX = pt.cxFinal + pt.pxmid[0];\n                    var lineStartY = pt.cyFinal + pt.pxmid[1];\n                    var textLinePath = 'M' + lineStartX + ',' + lineStartY;\n                    var finalX = (pt.yLabelMax - pt.yLabelMin) * (pt.pxmid[0] < 0 ? -1 : 1) / 4;\n\n                    if(pt.labelExtraX) {\n                        var yFromX = pt.labelExtraX * pt.pxmid[1] / pt.pxmid[0];\n                        var yNet = pt.yLabelMid + pt.labelExtraY - (pt.cyFinal + pt.pxmid[1]);\n\n                        if(Math.abs(yFromX) > Math.abs(yNet)) {\n                            textLinePath +=\n                                'l' + (yNet * pt.pxmid[0] / pt.pxmid[1]) + ',' + yNet +\n                                'H' + (lineStartX + pt.labelExtraX + finalX);\n                        } else {\n                            textLinePath += 'l' + pt.labelExtraX + ',' + yFromX +\n                                'v' + (yNet - yFromX) +\n                                'h' + finalX;\n                        }\n                    } else {\n                        textLinePath +=\n                            'V' + (pt.yLabelMid + pt.labelExtraY) +\n                            'h' + finalX;\n                    }\n\n                    sliceTop.append('path')\n                        .classed('textline', true)\n                        .call(Color.stroke, trace.outsidetextfont.color)\n                        .attr({\n                            'stroke-width': Math.min(2, trace.outsidetextfont.size / 8),\n                            d: textLinePath,\n                            fill: 'none'\n                        });\n                }\n            });\n        });\n    });\n\n    // This is for a bug in Chrome (as of 2015-07-22, and does not affect FF)\n    // if insidetextfont and outsidetextfont are different sizes, sometimes the size\n    // of an \"em\" gets taken from the wrong element at first so lines are\n    // spaced wrong. You just have to tell it to try again later and it gets fixed.\n    // I have no idea why we haven't seen this in other contexts. Also, sometimes\n    // it gets the initial draw correct but on redraw it gets confused.\n    setTimeout(function() {\n        pieGroups.selectAll('tspan').each(function() {\n            var s = d3.select(this);\n            if(s.attr('dy')) s.attr('dy', s.attr('dy'));\n        });\n    }, 0);\n};\n\nfunction determineOutsideTextFont(trace, pt, layoutFont) {\n    var color = helpers.castOption(trace.outsidetextfont.color, pt.pts) ||\n      helpers.castOption(trace.textfont.color, pt.pts) ||\n      layoutFont.color;\n\n    var family = helpers.castOption(trace.outsidetextfont.family, pt.pts) ||\n      helpers.castOption(trace.textfont.family, pt.pts) ||\n      layoutFont.family;\n\n    var size = helpers.castOption(trace.outsidetextfont.size, pt.pts) ||\n      helpers.castOption(trace.textfont.size, pt.pts) ||\n      layoutFont.size;\n\n    return {\n        color: color,\n        family: family,\n        size: size\n    };\n}\n\nfunction determineInsideTextFont(trace, pt, layoutFont) {\n    var customColor = helpers.castOption(trace.insidetextfont.color, pt.pts);\n    if(!customColor && trace._input.textfont) {\n\n        // Why not simply using trace.textfont? Because if not set, it\n        // defaults to layout.font which has a default color. But if\n        // textfont.color and insidetextfont.color don't supply a value,\n        // a contrasting color shall be used.\n        customColor = helpers.castOption(trace._input.textfont.color, pt.pts);\n    }\n\n    var family = helpers.castOption(trace.insidetextfont.family, pt.pts) ||\n      helpers.castOption(trace.textfont.family, pt.pts) ||\n      layoutFont.family;\n\n    var size = helpers.castOption(trace.insidetextfont.size, pt.pts) ||\n      helpers.castOption(trace.textfont.size, pt.pts) ||\n      layoutFont.size;\n\n    return {\n        color: customColor || Color.contrast(pt.color),\n        family: family,\n        size: size\n    };\n}\n\nfunction prerenderTitles(cdpie, gd) {\n    var cd0, trace;\n    // Determine the width and height of the title for each pie.\n    for(var i = 0; i < cdpie.length; i++) {\n        cd0 = cdpie[i][0];\n        trace = cd0.trace;\n\n        if(trace.title) {\n            var dummyTitle = Drawing.tester.append('text')\n              .attr('data-notex', 1)\n              .text(trace.title)\n              .call(Drawing.font, trace.titlefont)\n              .call(svgTextUtils.convertToTspans, gd);\n            var bBox = Drawing.bBox(dummyTitle.node(), true);\n            cd0.titleBox = {\n                width: bBox.width,\n                height: bBox.height,\n            };\n            dummyTitle.remove();\n        }\n    }\n}\n\nfunction transformInsideText(textBB, pt, cd0) {\n    var textDiameter = Math.sqrt(textBB.width * textBB.width + textBB.height * textBB.height);\n    var textAspect = textBB.width / textBB.height;\n    var halfAngle = Math.PI * Math.min(pt.v / cd0.vTotal, 0.5);\n    var ring = 1 - cd0.trace.hole;\n    var rInscribed = getInscribedRadiusFraction(pt, cd0),\n\n        // max size text can be inserted inside without rotating it\n        // this inscribes the text rectangle in a circle, which is then inscribed\n        // in the slice, so it will be an underestimate, which some day we may want\n        // to improve so this case can get more use\n        transform = {\n            scale: rInscribed * cd0.r * 2 / textDiameter,\n\n            // and the center position and rotation in this case\n            rCenter: 1 - rInscribed,\n            rotate: 0\n        };\n\n    if(transform.scale >= 1) return transform;\n\n        // max size if text is rotated radially\n    var Qr = textAspect + 1 / (2 * Math.tan(halfAngle));\n    var maxHalfHeightRotRadial = cd0.r * Math.min(\n        1 / (Math.sqrt(Qr * Qr + 0.5) + Qr),\n        ring / (Math.sqrt(textAspect * textAspect + ring / 2) + textAspect)\n    );\n    var radialTransform = {\n        scale: maxHalfHeightRotRadial * 2 / textBB.height,\n        rCenter: Math.cos(maxHalfHeightRotRadial / cd0.r) -\n            maxHalfHeightRotRadial * textAspect / cd0.r,\n        rotate: (180 / Math.PI * pt.midangle + 720) % 180 - 90\n    };\n\n        // max size if text is rotated tangentially\n    var aspectInv = 1 / textAspect;\n    var Qt = aspectInv + 1 / (2 * Math.tan(halfAngle));\n    var maxHalfWidthTangential = cd0.r * Math.min(\n        1 / (Math.sqrt(Qt * Qt + 0.5) + Qt),\n        ring / (Math.sqrt(aspectInv * aspectInv + ring / 2) + aspectInv)\n    );\n    var tangentialTransform = {\n        scale: maxHalfWidthTangential * 2 / textBB.width,\n        rCenter: Math.cos(maxHalfWidthTangential / cd0.r) -\n            maxHalfWidthTangential / textAspect / cd0.r,\n        rotate: (180 / Math.PI * pt.midangle + 810) % 180 - 90\n    };\n    // if we need a rotated transform, pick the biggest one\n    // even if both are bigger than 1\n    var rotatedTransform = tangentialTransform.scale > radialTransform.scale ?\n            tangentialTransform : radialTransform;\n\n    if(transform.scale < 1 && rotatedTransform.scale > transform.scale) return rotatedTransform;\n    return transform;\n}\n\nfunction getInscribedRadiusFraction(pt, cd0) {\n    if(pt.v === cd0.vTotal && !cd0.trace.hole) return 1;// special case of 100% with no hole\n\n    var halfAngle = Math.PI * Math.min(pt.v / cd0.vTotal, 0.5);\n    return Math.min(1 / (1 + 1 / Math.sin(halfAngle)), (1 - cd0.trace.hole) / 2);\n}\n\nfunction transformOutsideText(textBB, pt) {\n    var x = pt.pxmid[0];\n    var y = pt.pxmid[1];\n    var dx = textBB.width / 2;\n    var dy = textBB.height / 2;\n\n    if(x < 0) dx *= -1;\n    if(y < 0) dy *= -1;\n\n    return {\n        scale: 1,\n        rCenter: 1,\n        rotate: 0,\n        x: dx + Math.abs(dy) * (dx > 0 ? 1 : -1) / 2,\n        y: dy / (1 + x * x / (y * y)),\n        outside: true\n    };\n}\n\nfunction positionTitleInside(cd0) {\n    var textDiameter =\n        Math.sqrt(cd0.titleBox.width * cd0.titleBox.width + cd0.titleBox.height * cd0.titleBox.height);\n    return {\n        x: cd0.cx,\n        y: cd0.cy,\n        scale: cd0.trace.hole * cd0.r * 2 / textDiameter,\n        tx: 0,\n        ty: - cd0.titleBox.height / 2 + cd0.trace.titlefont.size\n    };\n}\n\nfunction positionTitleOutside(cd0, plotSize) {\n    var scaleX = 1, scaleY = 1, maxWidth, maxPull;\n    var trace = cd0.trace;\n    // position of the baseline point of the text box in the plot, before scaling.\n    // we anchored the text in the middle, so the baseline is on the bottom middle\n    // of the first line of text.\n    var topMiddle = {\n        x: cd0.cx,\n        y: cd0.cy\n    };\n    // relative translation of the text box after scaling\n    var translate = {\n        tx: 0,\n        ty: 0\n    };\n\n    // we reason below as if the baseline is the top middle point of the text box.\n    // so we must add the font size to approximate the y-coord. of the top.\n    // note that this correction must happen after scaling.\n    translate.ty += trace.titlefont.size;\n    maxPull = getMaxPull(trace);\n\n    if(trace.titleposition.indexOf('top') !== -1) {\n        topMiddle.y -= (1 + maxPull) * cd0.r;\n        translate.ty -= cd0.titleBox.height;\n    }\n    else if(trace.titleposition.indexOf('bottom') !== -1) {\n        topMiddle.y += (1 + maxPull) * cd0.r;\n    }\n\n    if(trace.titleposition.indexOf('left') !== -1) {\n        // we start the text at the left edge of the pie\n        maxWidth = plotSize.w * (trace.domain.x[1] - trace.domain.x[0]) / 2 + cd0.r;\n        topMiddle.x -= (1 + maxPull) * cd0.r;\n        translate.tx += cd0.titleBox.width / 2;\n    } else if(trace.titleposition.indexOf('center') !== -1) {\n        maxWidth = plotSize.w * (trace.domain.x[1] - trace.domain.x[0]);\n    } else if(trace.titleposition.indexOf('right') !== -1) {\n        maxWidth = plotSize.w * (trace.domain.x[1] - trace.domain.x[0]) / 2 + cd0.r;\n        topMiddle.x += (1 + maxPull) * cd0.r;\n        translate.tx -= cd0.titleBox.width / 2;\n    }\n    scaleX = maxWidth / cd0.titleBox.width;\n    scaleY = getTitleSpace(cd0, plotSize) / cd0.titleBox.height;\n    return {\n        x: topMiddle.x,\n        y: topMiddle.y,\n        scale: Math.min(scaleX, scaleY),\n        tx: translate.tx,\n        ty: translate.ty\n    };\n}\n\nfunction getTitleSpace(cd0, plotSize) {\n    var trace = cd0.trace;\n    var pieBoxHeight = plotSize.h * (trace.domain.y[1] - trace.domain.y[0]);\n    // use at most half of the plot for the title\n    return Math.min(cd0.titleBox.height, pieBoxHeight / 2);\n}\n\nfunction getMaxPull(trace) {\n    var maxPull = trace.pull, j;\n    if(Array.isArray(maxPull)) {\n        maxPull = 0;\n        for(j = 0; j < trace.pull.length; j++) {\n            if(trace.pull[j] > maxPull) maxPull = trace.pull[j];\n        }\n    }\n    return maxPull;\n}\n\nfunction scootLabels(quadrants, trace) {\n    var xHalf, yHalf, equatorFirst, farthestX, farthestY,\n        xDiffSign, yDiffSign, thisQuad, oppositeQuad,\n        wholeSide, i, thisQuadOutside, firstOppositeOutsidePt;\n\n    function topFirst(a, b) { return a.pxmid[1] - b.pxmid[1]; }\n    function bottomFirst(a, b) { return b.pxmid[1] - a.pxmid[1]; }\n\n    function scootOneLabel(thisPt, prevPt) {\n        if(!prevPt) prevPt = {};\n\n        var prevOuterY = prevPt.labelExtraY + (yHalf ? prevPt.yLabelMax : prevPt.yLabelMin);\n        var thisInnerY = yHalf ? thisPt.yLabelMin : thisPt.yLabelMax;\n        var thisOuterY = yHalf ? thisPt.yLabelMax : thisPt.yLabelMin;\n        var thisSliceOuterY = thisPt.cyFinal + farthestY(thisPt.px0[1], thisPt.px1[1]);\n        var newExtraY = prevOuterY - thisInnerY;\n\n        var xBuffer, i, otherPt, otherOuterY, otherOuterX, newExtraX;\n\n        // make sure this label doesn't overlap other labels\n        // this *only* has us move these labels vertically\n        if(newExtraY * yDiffSign > 0) thisPt.labelExtraY = newExtraY;\n\n        // make sure this label doesn't overlap any slices\n        if(!Array.isArray(trace.pull)) return; // this can only happen with array pulls\n\n        for(i = 0; i < wholeSide.length; i++) {\n            otherPt = wholeSide[i];\n\n            // overlap can only happen if the other point is pulled more than this one\n            if(otherPt === thisPt || (\n                (helpers.castOption(trace.pull, thisPt.pts) || 0) >=\n                (helpers.castOption(trace.pull, otherPt.pts) || 0))\n            ) {\n                continue;\n            }\n\n            if((thisPt.pxmid[1] - otherPt.pxmid[1]) * yDiffSign > 0) {\n                // closer to the equator - by construction all of these happen first\n                // move the text vertically to get away from these slices\n                otherOuterY = otherPt.cyFinal + farthestY(otherPt.px0[1], otherPt.px1[1]);\n                newExtraY = otherOuterY - thisInnerY - thisPt.labelExtraY;\n\n                if(newExtraY * yDiffSign > 0) thisPt.labelExtraY += newExtraY;\n\n            } else if((thisOuterY + thisPt.labelExtraY - thisSliceOuterY) * yDiffSign > 0) {\n                // farther from the equator - happens after we've done all the\n                // vertical moving we're going to do\n                // move horizontally to get away from these more polar slices\n\n                // if we're moving horz. based on a slice that's several slices away from this one\n                // then we need some extra space for the lines to labels between them\n                xBuffer = 3 * xDiffSign * Math.abs(i - wholeSide.indexOf(thisPt));\n\n                otherOuterX = otherPt.cxFinal + farthestX(otherPt.px0[0], otherPt.px1[0]);\n                newExtraX = otherOuterX + xBuffer - (thisPt.cxFinal + thisPt.pxmid[0]) - thisPt.labelExtraX;\n\n                if(newExtraX * xDiffSign > 0) thisPt.labelExtraX += newExtraX;\n            }\n        }\n    }\n\n    for(yHalf = 0; yHalf < 2; yHalf++) {\n        equatorFirst = yHalf ? topFirst : bottomFirst;\n        farthestY = yHalf ? Math.max : Math.min;\n        yDiffSign = yHalf ? 1 : -1;\n\n        for(xHalf = 0; xHalf < 2; xHalf++) {\n            farthestX = xHalf ? Math.max : Math.min;\n            xDiffSign = xHalf ? 1 : -1;\n\n            // first sort the array\n            // note this is a copy of cd, so cd itself doesn't get sorted\n            // but we can still modify points in place.\n            thisQuad = quadrants[yHalf][xHalf];\n            thisQuad.sort(equatorFirst);\n\n            oppositeQuad = quadrants[1 - yHalf][xHalf];\n            wholeSide = oppositeQuad.concat(thisQuad);\n\n            thisQuadOutside = [];\n            for(i = 0; i < thisQuad.length; i++) {\n                if(thisQuad[i].yLabelMid !== undefined) thisQuadOutside.push(thisQuad[i]);\n            }\n\n            firstOppositeOutsidePt = false;\n            for(i = 0; yHalf && i < oppositeQuad.length; i++) {\n                if(oppositeQuad[i].yLabelMid !== undefined) {\n                    firstOppositeOutsidePt = oppositeQuad[i];\n                    break;\n                }\n            }\n\n            // each needs to avoid the previous\n            for(i = 0; i < thisQuadOutside.length; i++) {\n                var prevPt = i && thisQuadOutside[i - 1];\n                // bottom half needs to avoid the first label of the top half\n                // top half we still need to call scootOneLabel on the first slice\n                // so we can avoid other slices, but we don't pass a prevPt\n                if(firstOppositeOutsidePt && !i) prevPt = firstOppositeOutsidePt;\n                scootOneLabel(thisQuadOutside[i], prevPt);\n            }\n        }\n    }\n}\n\nfunction scalePies(cdpie, plotSize) {\n    var scaleGroups = [];\n\n    var pieBoxWidth, pieBoxHeight, i, j, cd0, trace,\n        maxPull, scaleGroup, minPxPerValUnit;\n\n    // first figure out the center and maximum radius for each pie\n    for(i = 0; i < cdpie.length; i++) {\n        cd0 = cdpie[i][0];\n        trace = cd0.trace;\n\n        pieBoxWidth = plotSize.w * (trace.domain.x[1] - trace.domain.x[0]);\n        pieBoxHeight = plotSize.h * (trace.domain.y[1] - trace.domain.y[0]);\n        // leave some space for the title, if it will be displayed outside\n        if(trace.title && trace.titleposition !== 'middle center') {\n            pieBoxHeight -= getTitleSpace(cd0, plotSize);\n        }\n\n        maxPull = getMaxPull(trace);\n\n        cd0.r = Math.min(pieBoxWidth, pieBoxHeight) / (2 + 2 * maxPull);\n\n        cd0.cx = plotSize.l + plotSize.w * (trace.domain.x[1] + trace.domain.x[0]) / 2;\n        cd0.cy = plotSize.t + plotSize.h * (1 - trace.domain.y[0]) - pieBoxHeight / 2;\n        if(trace.title && trace.titleposition.indexOf('bottom') !== -1) {\n            cd0.cy -= getTitleSpace(cd0, plotSize);\n        }\n\n        if(trace.scalegroup && scaleGroups.indexOf(trace.scalegroup) === -1) {\n            scaleGroups.push(trace.scalegroup);\n        }\n    }\n\n    // Then scale any pies that are grouped\n    for(j = 0; j < scaleGroups.length; j++) {\n        minPxPerValUnit = Infinity;\n        scaleGroup = scaleGroups[j];\n\n        for(i = 0; i < cdpie.length; i++) {\n            cd0 = cdpie[i][0];\n            if(cd0.trace.scalegroup === scaleGroup) {\n                minPxPerValUnit = Math.min(minPxPerValUnit,\n                    cd0.r * cd0.r / cd0.vTotal);\n            }\n        }\n\n        for(i = 0; i < cdpie.length; i++) {\n            cd0 = cdpie[i][0];\n            if(cd0.trace.scalegroup === scaleGroup) {\n                cd0.r = Math.sqrt(minPxPerValUnit * cd0.vTotal);\n            }\n        }\n    }\n\n}\n\nfunction setCoords(cd) {\n    var cd0 = cd[0];\n    var trace = cd0.trace;\n    var currentAngle = trace.rotation * Math.PI / 180;\n    var angleFactor = 2 * Math.PI / cd0.vTotal;\n    var firstPt = 'px0';\n    var lastPt = 'px1';\n\n    var i, cdi, currentCoords;\n\n    if(trace.direction === 'counterclockwise') {\n        for(i = 0; i < cd.length; i++) {\n            if(!cd[i].hidden) break; // find the first non-hidden slice\n        }\n        if(i === cd.length) return; // all slices hidden\n\n        currentAngle += angleFactor * cd[i].v;\n        angleFactor *= -1;\n        firstPt = 'px1';\n        lastPt = 'px0';\n    }\n\n    function getCoords(angle) {\n        return [cd0.r * Math.sin(angle), -cd0.r * Math.cos(angle)];\n    }\n\n    currentCoords = getCoords(currentAngle);\n\n    for(i = 0; i < cd.length; i++) {\n        cdi = cd[i];\n        if(cdi.hidden) continue;\n\n        cdi[firstPt] = currentCoords;\n\n        currentAngle += angleFactor * cdi.v / 2;\n        cdi.pxmid = getCoords(currentAngle);\n        cdi.midangle = currentAngle;\n\n        currentAngle += angleFactor * cdi.v / 2;\n        currentCoords = getCoords(currentAngle);\n\n        cdi[lastPt] = currentCoords;\n\n        cdi.largeArc = (cdi.v > cd0.vTotal / 2) ? 1 : 0;\n    }\n}\n\n},{\"../../components/color\":570,\"../../components/drawing\":595,\"../../components/fx\":612,\"../../lib\":696,\"../../lib/svg_text_utils\":721,\"./event_data\":1023,\"./helpers\":1024,\"d3\":148}],1029:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar styleOne = _dereq_('./style_one');\n\nmodule.exports = function style(gd) {\n    gd._fullLayout._pielayer.selectAll('.trace').each(function(cd) {\n        var cd0 = cd[0];\n        var trace = cd0.trace;\n        var traceSelection = d3.select(this);\n\n        traceSelection.style({opacity: trace.opacity});\n\n        traceSelection.selectAll('path.surface').each(function(pt) {\n            d3.select(this).call(styleOne, pt, trace);\n        });\n    });\n};\n\n},{\"./style_one\":1030,\"d3\":148}],1030:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Color = _dereq_('../../components/color');\nvar castOption = _dereq_('./helpers').castOption;\n\nmodule.exports = function styleOne(s, pt, trace) {\n    var line = trace.marker.line;\n    var lineColor = castOption(line.color, pt.pts) || Color.defaultLine;\n    var lineWidth = castOption(line.width, pt.pts) || 0;\n\n    s.style({'stroke-width': lineWidth})\n        .call(Color.fill, pt.color)\n        .call(Color.stroke, lineColor);\n};\n\n},{\"../../components/color\":570,\"./helpers\":1024}],1031:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterglAttrs = _dereq_('../scatter/attributes');\n\nmodule.exports = {\n    x: scatterglAttrs.x,\n    y: scatterglAttrs.y,\n    xy: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    indices: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    xbounds: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    ybounds: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    text: scatterglAttrs.text,\n    marker: {\n        color: {\n            valType: 'color',\n            arrayOk: false,\n            \n            editType: 'calc',\n            \n        },\n        opacity: {\n            valType: 'number',\n            min: 0,\n            max: 1,\n            dflt: 1,\n            arrayOk: false,\n            \n            editType: 'calc',\n            \n        },\n        blend: {\n            valType: 'boolean',\n            dflt: null,\n            \n            editType: 'calc',\n            \n        },\n        sizemin: {\n            valType: 'number',\n            min: 0.1,\n            max: 2,\n            dflt: 0.5,\n            \n            editType: 'calc',\n            \n        },\n        sizemax: {\n            valType: 'number',\n            min: 0.1,\n            dflt: 20,\n            \n            editType: 'calc',\n            \n        },\n        border: {\n            color: {\n                valType: 'color',\n                arrayOk: false,\n                \n                editType: 'calc',\n                \n            },\n            arearatio: {\n                valType: 'number',\n                min: 0,\n                max: 1,\n                dflt: 0,\n                \n                editType: 'calc',\n                \n            },\n            editType: 'calc'\n        },\n        editType: 'calc'\n    },\n    transforms: undefined\n};\n\n},{\"../scatter/attributes\":1044}],1032:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar createPointCloudRenderer = _dereq_('gl-pointcloud2d');\n\nvar str2RGBArray = _dereq_('../../lib/str2rgbarray');\nvar findExtremes = _dereq_('../../plots/cartesian/autorange').findExtremes;\nvar getTraceColor = _dereq_('../scatter/get_trace_color');\n\nfunction Pointcloud(scene, uid) {\n    this.scene = scene;\n    this.uid = uid;\n    this.type = 'pointcloud';\n\n    this.pickXData = [];\n    this.pickYData = [];\n    this.xData = [];\n    this.yData = [];\n    this.textLabels = [];\n    this.color = 'rgb(0, 0, 0)';\n    this.name = '';\n    this.hoverinfo = 'all';\n\n    this.idToIndex = new Int32Array(0);\n    this.bounds = [0, 0, 0, 0];\n\n    this.pointcloudOptions = {\n        positions: new Float32Array(0),\n        idToIndex: this.idToIndex,\n        sizemin: 0.5,\n        sizemax: 12,\n        color: [0, 0, 0, 1],\n        areaRatio: 1,\n        borderColor: [0, 0, 0, 1]\n    };\n    this.pointcloud = createPointCloudRenderer(scene.glplot, this.pointcloudOptions);\n    this.pointcloud._trace = this; // scene2d requires this prop\n}\n\nvar proto = Pointcloud.prototype;\n\nproto.handlePick = function(pickResult) {\n    var index = this.idToIndex[pickResult.pointId];\n\n    // prefer the readout from XY, if present\n    return {\n        trace: this,\n        dataCoord: pickResult.dataCoord,\n        traceCoord: this.pickXYData ?\n            [this.pickXYData[index * 2], this.pickXYData[index * 2 + 1]] :\n            [this.pickXData[index], this.pickYData[index]],\n        textLabel: Array.isArray(this.textLabels) ?\n            this.textLabels[index] :\n            this.textLabels,\n        color: this.color,\n        name: this.name,\n        pointIndex: index,\n        hoverinfo: this.hoverinfo\n    };\n};\n\nproto.update = function(options) {\n    this.index = options.index;\n    this.textLabels = options.text;\n    this.name = options.name;\n    this.hoverinfo = options.hoverinfo;\n    this.bounds = [Infinity, Infinity, -Infinity, -Infinity];\n\n    this.updateFast(options);\n\n    this.color = getTraceColor(options, {});\n};\n\nproto.updateFast = function(options) {\n    var x = this.xData = this.pickXData = options.x;\n    var y = this.yData = this.pickYData = options.y;\n    var xy = this.pickXYData = options.xy;\n\n    var userBounds = options.xbounds && options.ybounds;\n    var index = options.indices;\n\n    var len,\n        idToIndex,\n        positions,\n        bounds = this.bounds;\n\n    var xx, yy, i;\n\n    if(xy) {\n\n        positions = xy;\n\n        // dividing xy.length by 2 and truncating to integer if xy.length was not even\n        len = xy.length >>> 1;\n\n        if(userBounds) {\n\n            bounds[0] = options.xbounds[0];\n            bounds[2] = options.xbounds[1];\n            bounds[1] = options.ybounds[0];\n            bounds[3] = options.ybounds[1];\n\n        } else {\n\n            for(i = 0; i < len; i++) {\n\n                xx = positions[i * 2];\n                yy = positions[i * 2 + 1];\n\n                if(xx < bounds[0]) bounds[0] = xx;\n                if(xx > bounds[2]) bounds[2] = xx;\n                if(yy < bounds[1]) bounds[1] = yy;\n                if(yy > bounds[3]) bounds[3] = yy;\n            }\n\n        }\n\n        if(index) {\n\n            idToIndex = index;\n\n        } else {\n\n            idToIndex = new Int32Array(len);\n\n            for(i = 0; i < len; i++) {\n\n                idToIndex[i] = i;\n\n            }\n\n        }\n\n    } else {\n\n        len = x.length;\n\n        positions = new Float32Array(2 * len);\n        idToIndex = new Int32Array(len);\n\n        for(i = 0; i < len; i++) {\n            xx = x[i];\n            yy = y[i];\n\n            idToIndex[i] = i;\n\n            positions[i * 2] = xx;\n            positions[i * 2 + 1] = yy;\n\n            if(xx < bounds[0]) bounds[0] = xx;\n            if(xx > bounds[2]) bounds[2] = xx;\n            if(yy < bounds[1]) bounds[1] = yy;\n            if(yy > bounds[3]) bounds[3] = yy;\n        }\n\n    }\n\n    this.idToIndex = idToIndex;\n    this.pointcloudOptions.idToIndex = idToIndex;\n\n    this.pointcloudOptions.positions = positions;\n\n    var markerColor = str2RGBArray(options.marker.color),\n        borderColor = str2RGBArray(options.marker.border.color),\n        opacity = options.opacity * options.marker.opacity;\n\n    markerColor[3] *= opacity;\n    this.pointcloudOptions.color = markerColor;\n\n    // detect blending from the number of points, if undefined\n    // because large data with blending hits performance\n    var blend = options.marker.blend;\n    if(blend === null) {\n        var maxPoints = 100;\n        blend = x.length < maxPoints || y.length < maxPoints;\n    }\n    this.pointcloudOptions.blend = blend;\n\n    borderColor[3] *= opacity;\n    this.pointcloudOptions.borderColor = borderColor;\n\n    var markerSizeMin = options.marker.sizemin;\n    var markerSizeMax = Math.max(options.marker.sizemax, options.marker.sizemin);\n    this.pointcloudOptions.sizeMin = markerSizeMin;\n    this.pointcloudOptions.sizeMax = markerSizeMax;\n    this.pointcloudOptions.areaRatio = options.marker.border.arearatio;\n\n    this.pointcloud.update(this.pointcloudOptions);\n\n    // add item for autorange routine\n    var xa = this.scene.xaxis;\n    var ya = this.scene.yaxis;\n    var pad = markerSizeMax / 2 || 0.5;\n    options._extremes[xa._id] = findExtremes(xa, [bounds[0], bounds[2]], {ppad: pad});\n    options._extremes[ya._id] = findExtremes(ya, [bounds[1], bounds[3]], {ppad: pad});\n};\n\nproto.dispose = function() {\n    this.pointcloud.dispose();\n};\n\nfunction createPointcloud(scene, data) {\n    var plot = new Pointcloud(scene, data.uid);\n    plot.update(data);\n    return plot;\n}\n\nmodule.exports = createPointcloud;\n\n},{\"../../lib/str2rgbarray\":720,\"../../plots/cartesian/autorange\":744,\"../scatter/get_trace_color\":1054,\"gl-pointcloud2d\":279}],1033:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    coerce('x');\n    coerce('y');\n\n    coerce('xbounds');\n    coerce('ybounds');\n\n    if(traceIn.xy && traceIn.xy instanceof Float32Array) {\n        traceOut.xy = traceIn.xy;\n    }\n\n    if(traceIn.indices && traceIn.indices instanceof Int32Array) {\n        traceOut.indices = traceIn.indices;\n    }\n\n    coerce('text');\n    coerce('marker.color', defaultColor);\n    coerce('marker.opacity');\n    coerce('marker.blend');\n    coerce('marker.sizemin');\n    coerce('marker.sizemax');\n    coerce('marker.border.color', defaultColor);\n    coerce('marker.border.arearatio');\n\n    // disable 1D transforms - that would defeat the purpose of this trace type, performance!\n    traceOut._length = null;\n};\n\n},{\"../../lib\":696,\"./attributes\":1031}],1034:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar pointcloud = {};\n\npointcloud.attributes = _dereq_('./attributes');\npointcloud.supplyDefaults = _dereq_('./defaults');\n\n// reuse the Scatter3D 'dummy' calc step so that legends know what to do\npointcloud.calc = _dereq_('../scatter3d/calc');\npointcloud.plot = _dereq_('./convert');\n\npointcloud.moduleType = 'trace';\npointcloud.name = 'pointcloud';\npointcloud.basePlotModule = _dereq_('../../plots/gl2d');\npointcloud.categories = ['gl', 'gl2d', 'showLegend'];\npointcloud.meta = {\n    \n};\n\nmodule.exports = pointcloud;\n\n},{\"../../plots/gl2d\":785,\"../scatter3d/calc\":1072,\"./attributes\":1031,\"./convert\":1032,\"./defaults\":1033}],1035:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar plotAttrs = _dereq_('../../plots/attributes');\nvar colorAttrs = _dereq_('../../components/color/attributes');\nvar fxAttrs = _dereq_('../../components/fx/attributes');\nvar domainAttrs = _dereq_('../../plots/domain').attributes;\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\nvar attrs = module.exports = overrideAll({\n    hoverinfo: extendFlat({}, plotAttrs.hoverinfo, {\n        flags: [],\n        arrayOk: false,\n        \n    }),\n    hoverlabel: fxAttrs.hoverlabel,\n    domain: domainAttrs({name: 'sankey', trace: true}),\n\n    orientation: {\n        valType: 'enumerated',\n        values: ['v', 'h'],\n        dflt: 'h',\n        \n        \n    },\n\n    valueformat: {\n        valType: 'string',\n        dflt: '.3s',\n        \n        \n    },\n\n    valuesuffix: {\n        valType: 'string',\n        dflt: '',\n        \n        \n    },\n\n    arrangement: {\n        valType: 'enumerated',\n        values: ['snap', 'perpendicular', 'freeform', 'fixed'],\n        dflt: 'snap',\n        \n        \n    },\n\n    textfont: fontAttrs({\n        \n    }),\n\n    node: {\n        label: {\n            valType: 'data_array',\n            dflt: [],\n            \n            \n        },\n        color: {\n            valType: 'color',\n            \n            arrayOk: true,\n            \n        },\n        line: {\n            color: {\n                valType: 'color',\n                \n                dflt: colorAttrs.defaultLine,\n                arrayOk: true,\n                \n            },\n            width: {\n                valType: 'number',\n                \n                min: 0,\n                dflt: 0.5,\n                arrayOk: true,\n                \n            }\n        },\n        pad: {\n            valType: 'number',\n            arrayOk: false,\n            min: 0,\n            dflt: 20,\n            \n            \n        },\n        thickness: {\n            valType: 'number',\n            arrayOk: false,\n            min: 1,\n            dflt: 20,\n            \n            \n        },\n        hoverinfo: {\n            valType: 'enumerated',\n            values: ['all', 'none', 'skip'],\n            dflt: 'all',\n            \n            \n        },\n        hoverlabel: fxAttrs.hoverlabel, // needs editType override,\n        \n    },\n\n    link: {\n        label: {\n            valType: 'data_array',\n            dflt: [],\n            \n            \n        },\n        color: {\n            valType: 'color',\n            \n            arrayOk: true,\n            \n        },\n        line: {\n            color: {\n                valType: 'color',\n                \n                dflt: colorAttrs.defaultLine,\n                arrayOk: true,\n                \n            },\n            width: {\n                valType: 'number',\n                \n                min: 0,\n                dflt: 0,\n                arrayOk: true,\n                \n            }\n        },\n        source: {\n            valType: 'data_array',\n            \n            dflt: [],\n            \n        },\n        target: {\n            valType: 'data_array',\n            \n            dflt: [],\n            \n        },\n        value: {\n            valType: 'data_array',\n            dflt: [],\n            \n            \n        },\n        hoverinfo: {\n            valType: 'enumerated',\n            values: ['all', 'none', 'skip'],\n            dflt: 'all',\n            \n            \n        },\n        hoverlabel: fxAttrs.hoverlabel, // needs editType override,\n        \n    }\n}, 'calc', 'nested');\nattrs.transforms = undefined;\n\n},{\"../../components/color/attributes\":569,\"../../components/fx/attributes\":604,\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../../plots/attributes\":742,\"../../plots/domain\":771,\"../../plots/font_attributes\":772}],1036:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\nvar getModuleCalcData = _dereq_('../../plots/get_data').getModuleCalcData;\nvar plot = _dereq_('./plot');\nvar fxAttrs = _dereq_('../../components/fx/layout_attributes');\n\nvar SANKEY = 'sankey';\n\nexports.name = SANKEY;\n\nexports.baseLayoutAttrOverrides = overrideAll({\n    hoverlabel: fxAttrs.hoverlabel\n}, 'plot', 'nested');\n\nexports.plot = function(gd) {\n    var calcData = getModuleCalcData(gd.calcdata, SANKEY)[0];\n    plot(gd, calcData);\n};\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var hadPlot = (oldFullLayout._has && oldFullLayout._has(SANKEY));\n    var hasPlot = (newFullLayout._has && newFullLayout._has(SANKEY));\n\n    if(hadPlot && !hasPlot) {\n        oldFullLayout._paperdiv.selectAll('.sankey').remove();\n    }\n};\n\n},{\"../../components/fx/layout_attributes\":613,\"../../plot_api/edit_types\":728,\"../../plots/get_data\":782,\"./plot\":1041}],1037:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar tarjan = _dereq_('strongly-connected-components');\nvar Lib = _dereq_('../../lib');\nvar wrap = _dereq_('../../lib/gup').wrap;\n\nfunction circularityPresent(nodeList, sources, targets) {\n\n    var nodeLen = nodeList.length;\n    var nodes = Lib.init2dArray(nodeLen, 0);\n\n    for(var i = 0; i < Math.min(sources.length, targets.length); i++) {\n        if(Lib.isIndex(sources[i], nodeLen) && Lib.isIndex(targets[i], nodeLen)) {\n            if(sources[i] === targets[i]) {\n                return true; // self-link which is also a scc of one\n            }\n            nodes[sources[i]].push(targets[i]);\n        }\n    }\n\n    var scc = tarjan(nodes);\n\n    // Tarján's strongly connected components algorithm coded by Mikola Lysenko\n    // returns at least one non-singular component if there's circularity in the graph\n    return scc.components.some(function(c) {\n        return c.length > 1;\n    });\n}\n\nmodule.exports = function calc(gd, trace) {\n\n    if(circularityPresent(trace.node.label, trace.link.source, trace.link.target)) {\n        Lib.error('Circularity is present in the Sankey data. Removing all nodes and links.');\n        trace.link.label = [];\n        trace.link.source = [];\n        trace.link.target = [];\n        trace.link.value = [];\n        trace.link.color = [];\n        trace.node.label = [];\n        trace.node.color = [];\n    }\n\n    return wrap({\n        link: trace.link,\n        node: trace.node\n    });\n};\n\n},{\"../../lib\":696,\"../../lib/gup\":693,\"strongly-connected-components\":506}],1038:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    nodeTextOffsetHorizontal: 4,\n    nodeTextOffsetVertical: 3,\n    nodePadAcross: 10,\n    sankeyIterations: 50,\n    forceIterations: 5,\n    forceTicksPerFrame: 10,\n    duration: 500,\n    ease: 'cubic-in-out',\n    cn: {\n        sankey: 'sankey',\n        sankeyLinks: 'sankey-links',\n        sankeyLink: 'sankey-link',\n        sankeyNodeSet: 'sankey-node-set',\n        sankeyNode: 'sankey-node',\n        nodeRect: 'node-rect',\n        nodeCapture: 'node-capture',\n        nodeCentered: 'node-entered',\n        nodeLabelGuide: 'node-label-guide',\n        nodeLabel: 'node-label',\n        nodeLabelTextPath: 'node-label-text-path'\n    }\n};\n\n},{}],1039:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar attributes = _dereq_('./attributes');\nvar Color = _dereq_('../../components/color');\nvar tinycolor = _dereq_('tinycolor2');\nvar handleDomainDefaults = _dereq_('../../plots/domain').defaults;\nvar handleHoverLabelDefaults = _dereq_('../../components/fx/hoverlabel_defaults');\nvar Template = _dereq_('../../plot_api/plot_template');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var hoverlabelDefault = Lib.extendDeep(layout.hoverlabel, traceIn.hoverlabel);\n\n    // node attributes\n    var nodeIn = traceIn.node, nodeOut = Template.newContainer(traceOut, 'node');\n    function coerceNode(attr, dflt) {\n        return Lib.coerce(nodeIn, nodeOut, attributes.node, attr, dflt);\n    }\n    coerceNode('label');\n    coerceNode('pad');\n    coerceNode('thickness');\n    coerceNode('line.color');\n    coerceNode('line.width');\n    coerceNode('hoverinfo', traceIn.hoverinfo);\n    handleHoverLabelDefaults(nodeIn, nodeOut, coerceNode, hoverlabelDefault);\n\n    var colors = layout.colorway;\n\n    var defaultNodePalette = function(i) {return colors[i % colors.length];};\n\n    coerceNode('color', nodeOut.label.map(function(d, i) {\n        return Color.addOpacity(defaultNodePalette(i), 0.8);\n    }));\n\n    // link attributes\n    var linkIn = traceIn.link, linkOut = Template.newContainer(traceOut, 'link');\n    function coerceLink(attr, dflt) {\n        return Lib.coerce(linkIn, linkOut, attributes.link, attr, dflt);\n    }\n    coerceLink('label');\n    coerceLink('source');\n    coerceLink('target');\n    coerceLink('value');\n    coerceLink('line.color');\n    coerceLink('line.width');\n    coerceLink('hoverinfo', traceIn.hoverinfo);\n    handleHoverLabelDefaults(linkIn, linkOut, coerceLink, hoverlabelDefault);\n\n    var defaultLinkColor = tinycolor(layout.paper_bgcolor).getLuminance() < 0.333 ?\n                'rgba(255, 255, 255, 0.6)' :\n                'rgba(0, 0, 0, 0.2)';\n\n    coerceLink('color', Lib.repeat(defaultLinkColor, linkOut.value.length));\n\n    handleDomainDefaults(traceOut, layout, coerce);\n\n    coerce('orientation');\n    coerce('valueformat');\n    coerce('valuesuffix');\n    coerce('arrangement');\n\n    Lib.coerceFont(coerce, 'textfont', Lib.extendFlat({}, layout.font));\n\n    // disable 1D transforms - arrays here are 1D but their lengths/meanings\n    // don't match, between nodes and links\n    traceOut._length = null;\n};\n\n},{\"../../components/color\":570,\"../../components/fx/hoverlabel_defaults\":611,\"../../lib\":696,\"../../plot_api/plot_template\":735,\"../../plots/domain\":771,\"./attributes\":1035,\"tinycolor2\":514}],1040:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Plot = {};\n\nPlot.attributes = _dereq_('./attributes');\nPlot.supplyDefaults = _dereq_('./defaults');\nPlot.calc = _dereq_('./calc');\nPlot.plot = _dereq_('./plot');\n\nPlot.moduleType = 'trace';\nPlot.name = 'sankey';\nPlot.basePlotModule = _dereq_('./base_plot');\nPlot.categories = ['noOpacity'];\nPlot.meta = {\n    \n};\n\nmodule.exports = Plot;\n\n},{\"./attributes\":1035,\"./base_plot\":1036,\"./calc\":1037,\"./defaults\":1039,\"./plot\":1041}],1041:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar render = _dereq_('./render');\nvar Fx = _dereq_('../../components/fx');\nvar Color = _dereq_('../../components/color');\nvar Lib = _dereq_('../../lib');\nvar cn = _dereq_('./constants').cn;\n\nvar _ = Lib._;\n\nfunction renderableValuePresent(d) {return d !== '';}\n\nfunction ownTrace(selection, d) {\n    return selection.filter(function(s) {return s.key === d.traceId;});\n}\n\nfunction makeTranslucent(element, alpha) {\n    d3.select(element)\n        .select('path')\n        .style('fill-opacity', alpha);\n    d3.select(element)\n        .select('rect')\n        .style('fill-opacity', alpha);\n}\n\nfunction makeTextContrasty(element) {\n    d3.select(element)\n        .select('text.name')\n        .style('fill', 'black');\n}\n\nfunction relatedLinks(d) {\n    return function(l) {\n        return d.node.sourceLinks.indexOf(l.link) !== -1 || d.node.targetLinks.indexOf(l.link) !== -1;\n    };\n}\n\nfunction relatedNodes(l) {\n    return function(d) {\n        return d.node.sourceLinks.indexOf(l.link) !== -1 || d.node.targetLinks.indexOf(l.link) !== -1;\n    };\n}\n\nfunction nodeHoveredStyle(sankeyNode, d, sankey) {\n    if(d && sankey) {\n        ownTrace(sankey, d)\n            .selectAll('.' + cn.sankeyLink)\n            .filter(relatedLinks(d))\n            .call(linkHoveredStyle.bind(0, d, sankey, false));\n    }\n}\n\nfunction nodeNonHoveredStyle(sankeyNode, d, sankey) {\n    if(d && sankey) {\n        ownTrace(sankey, d)\n            .selectAll('.' + cn.sankeyLink)\n            .filter(relatedLinks(d))\n            .call(linkNonHoveredStyle.bind(0, d, sankey, false));\n    }\n}\n\nfunction linkHoveredStyle(d, sankey, visitNodes, sankeyLink) {\n\n    var label = sankeyLink.datum().link.label;\n\n    sankeyLink.style('fill-opacity', 0.4);\n\n    if(label) {\n        ownTrace(sankey, d)\n            .selectAll('.' + cn.sankeyLink)\n            .filter(function(l) {return l.link.label === label;})\n            .style('fill-opacity', 0.4);\n    }\n\n    if(visitNodes) {\n        ownTrace(sankey, d)\n            .selectAll('.' + cn.sankeyNode)\n            .filter(relatedNodes(d))\n            .call(nodeHoveredStyle);\n    }\n}\n\nfunction linkNonHoveredStyle(d, sankey, visitNodes, sankeyLink) {\n\n    var label = sankeyLink.datum().link.label;\n\n    sankeyLink.style('fill-opacity', function(d) {return d.tinyColorAlpha;});\n\n    if(label) {\n        ownTrace(sankey, d)\n            .selectAll('.' + cn.sankeyLink)\n            .filter(function(l) {return l.link.label === label;})\n            .style('fill-opacity', function(d) {return d.tinyColorAlpha;});\n    }\n\n    if(visitNodes) {\n        ownTrace(sankey, d)\n            .selectAll(cn.sankeyNode)\n            .filter(relatedNodes(d))\n            .call(nodeNonHoveredStyle);\n    }\n}\n\n// does not support array values for now\nfunction castHoverOption(trace, attr) {\n    var labelOpts = trace.hoverlabel || {};\n    var val = Lib.nestedProperty(labelOpts, attr).get();\n    return Array.isArray(val) ? false : val;\n}\n\nmodule.exports = function plot(gd, calcData) {\n    var fullLayout = gd._fullLayout;\n    var svg = fullLayout._paper;\n    var size = fullLayout._size;\n\n    var linkSelect = function(element, d) {\n        var evt = d.link;\n        evt.originalEvent = d3.event;\n        gd._hoverdata = [evt];\n        Fx.click(gd, { target: true });\n    };\n\n    var linkHover = function(element, d, sankey) {\n        if(gd._fullLayout.hovermode === false) return;\n        d3.select(element).call(linkHoveredStyle.bind(0, d, sankey, true));\n        if(d.link.trace.link.hoverinfo !== 'skip') {\n            gd.emit('plotly_hover', {\n                event: d3.event,\n                points: [d.link]\n            });\n        }\n\n    };\n\n    var sourceLabel = _(gd, 'source:') + ' ';\n    var targetLabel = _(gd, 'target:') + ' ';\n    var incomingLabel = _(gd, 'incoming flow count:') + ' ';\n    var outgoingLabel = _(gd, 'outgoing flow count:') + ' ';\n\n    var linkHoverFollow = function(element, d) {\n        if(gd._fullLayout.hovermode === false) return;\n        var obj = d.link.trace.link;\n        if(obj.hoverinfo === 'none' || obj.hoverinfo === 'skip') return;\n        var rootBBox = gd._fullLayout._paperdiv.node().getBoundingClientRect();\n        var boundingBox = element.getBoundingClientRect();\n        var hoverCenterX = boundingBox.left + boundingBox.width / 2;\n        var hoverCenterY = boundingBox.top + boundingBox.height / 2;\n\n        var tooltip = Fx.loneHover({\n            x: hoverCenterX - rootBBox.left,\n            y: hoverCenterY - rootBBox.top,\n            name: d3.format(d.valueFormat)(d.link.value) + d.valueSuffix,\n            text: [\n                d.link.label || '',\n                sourceLabel + d.link.source.label,\n                targetLabel + d.link.target.label\n            ].filter(renderableValuePresent).join('<br>'),\n            color: castHoverOption(obj, 'bgcolor') || Color.addOpacity(d.tinyColorHue, 1),\n            borderColor: castHoverOption(obj, 'bordercolor'),\n            fontFamily: castHoverOption(obj, 'font.family'),\n            fontSize: castHoverOption(obj, 'font.size'),\n            fontColor: castHoverOption(obj, 'font.color'),\n            idealAlign: d3.event.x < hoverCenterX ? 'right' : 'left'\n        }, {\n            container: fullLayout._hoverlayer.node(),\n            outerContainer: fullLayout._paper.node(),\n            gd: gd\n        });\n\n        makeTranslucent(tooltip, 0.65);\n        makeTextContrasty(tooltip);\n    };\n\n    var linkUnhover = function(element, d, sankey) {\n        if(gd._fullLayout.hovermode === false) return;\n        d3.select(element).call(linkNonHoveredStyle.bind(0, d, sankey, true));\n        if(d.link.trace.link.hoverinfo !== 'skip') {\n            gd.emit('plotly_unhover', {\n                event: d3.event,\n                points: [d.link]\n            });\n        }\n\n        Fx.loneUnhover(fullLayout._hoverlayer.node());\n    };\n\n    var nodeSelect = function(element, d, sankey) {\n        var evt = d.node;\n        evt.originalEvent = d3.event;\n        gd._hoverdata = [evt];\n        d3.select(element).call(nodeNonHoveredStyle, d, sankey);\n        Fx.click(gd, { target: true });\n    };\n\n    var nodeHover = function(element, d, sankey) {\n        if(gd._fullLayout.hovermode === false) return;\n        d3.select(element).call(nodeHoveredStyle, d, sankey);\n        if(d.node.trace.node.hoverinfo !== 'skip') {\n            gd.emit('plotly_hover', {\n                event: d3.event,\n                points: [d.node]\n            });\n        }\n    };\n\n    var nodeHoverFollow = function(element, d) {\n        if(gd._fullLayout.hovermode === false) return;\n\n        var obj = d.node.trace.node;\n        if(obj.hoverinfo === 'none' || obj.hoverinfo === 'skip') return;\n        var nodeRect = d3.select(element).select('.' + cn.nodeRect);\n        var rootBBox = gd._fullLayout._paperdiv.node().getBoundingClientRect();\n        var boundingBox = nodeRect.node().getBoundingClientRect();\n        var hoverCenterX0 = boundingBox.left - 2 - rootBBox.left;\n        var hoverCenterX1 = boundingBox.right + 2 - rootBBox.left;\n        var hoverCenterY = boundingBox.top + boundingBox.height / 4 - rootBBox.top;\n\n        var tooltip = Fx.loneHover({\n            x0: hoverCenterX0,\n            x1: hoverCenterX1,\n            y: hoverCenterY,\n            name: d3.format(d.valueFormat)(d.node.value) + d.valueSuffix,\n            text: [\n                d.node.label,\n                incomingLabel + d.node.targetLinks.length,\n                outgoingLabel + d.node.sourceLinks.length\n            ].filter(renderableValuePresent).join('<br>'),\n            color: castHoverOption(obj, 'bgcolor') || d.tinyColorHue,\n            borderColor: castHoverOption(obj, 'bordercolor'),\n            fontFamily: castHoverOption(obj, 'font.family'),\n            fontSize: castHoverOption(obj, 'font.size'),\n            fontColor: castHoverOption(obj, 'font.color'),\n            idealAlign: 'left'\n        }, {\n            container: fullLayout._hoverlayer.node(),\n            outerContainer: fullLayout._paper.node(),\n            gd: gd\n        });\n\n        makeTranslucent(tooltip, 0.85);\n        makeTextContrasty(tooltip);\n    };\n\n    var nodeUnhover = function(element, d, sankey) {\n        if(gd._fullLayout.hovermode === false) return;\n        d3.select(element).call(nodeNonHoveredStyle, d, sankey);\n        if(d.node.trace.node.hoverinfo !== 'skip') {\n            gd.emit('plotly_unhover', {\n                event: d3.event,\n                points: [d.node]\n            });\n        }\n\n        Fx.loneUnhover(fullLayout._hoverlayer.node());\n    };\n\n    render(\n        svg,\n        calcData,\n        {\n            width: size.w,\n            height: size.h,\n            margin: {\n                t: size.t,\n                r: size.r,\n                b: size.b,\n                l: size.l\n            }\n        },\n        {\n            linkEvents: {\n                hover: linkHover,\n                follow: linkHoverFollow,\n                unhover: linkUnhover,\n                select: linkSelect\n            },\n            nodeEvents: {\n                hover: nodeHover,\n                follow: nodeHoverFollow,\n                unhover: nodeUnhover,\n                select: nodeSelect\n            }\n        }\n    );\n};\n\n},{\"../../components/color\":570,\"../../components/fx\":612,\"../../lib\":696,\"./constants\":1038,\"./render\":1042,\"d3\":148}],1042:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar c = _dereq_('./constants');\nvar d3 = _dereq_('d3');\nvar tinycolor = _dereq_('tinycolor2');\nvar Color = _dereq_('../../components/color');\nvar Drawing = _dereq_('../../components/drawing');\nvar d3sankey = _dereq_('@plotly/d3-sankey').sankey;\nvar d3Force = _dereq_('d3-force');\nvar Lib = _dereq_('../../lib');\nvar isArrayOrTypedArray = Lib.isArrayOrTypedArray;\nvar isIndex = Lib.isIndex;\nvar gup = _dereq_('../../lib/gup');\nvar keyFun = gup.keyFun;\nvar repeat = gup.repeat;\nvar unwrap = gup.unwrap;\n\n// basic data utilities\n\nfunction persistOriginalPlace(nodes) {\n    var i, distinctLayerPositions = [];\n    for(i = 0; i < nodes.length; i++) {\n        nodes[i].originalX = nodes[i].x;\n        nodes[i].originalY = nodes[i].y;\n        if(distinctLayerPositions.indexOf(nodes[i].x) === -1) {\n            distinctLayerPositions.push(nodes[i].x);\n        }\n    }\n    distinctLayerPositions.sort(function(a, b) {return a - b;});\n    for(i = 0; i < nodes.length; i++) {\n        nodes[i].originalLayerIndex = distinctLayerPositions.indexOf(nodes[i].originalX);\n        nodes[i].originalLayer = nodes[i].originalLayerIndex / (distinctLayerPositions.length - 1);\n    }\n}\n\nfunction saveCurrentDragPosition(d) {\n    d.lastDraggedX = d.x;\n    d.lastDraggedY = d.y;\n}\n\nfunction sameLayer(d) {\n    return function(n) {return n.node.originalX === d.node.originalX;};\n}\n\nfunction switchToForceFormat(nodes) {\n    // force uses x, y as centers\n    for(var i = 0; i < nodes.length; i++) {\n        nodes[i].y = nodes[i].y + nodes[i].dy / 2;\n    }\n}\n\nfunction switchToSankeyFormat(nodes) {\n    // sankey uses x, y as top left\n    for(var i = 0; i < nodes.length; i++) {\n        nodes[i].y = nodes[i].y - nodes[i].dy / 2;\n    }\n}\n\n// view models\n\nfunction sankeyModel(layout, d, traceIndex) {\n    var trace = unwrap(d).trace;\n    var domain = trace.domain;\n    var nodeSpec = trace.node;\n    var linkSpec = trace.link;\n    var arrangement = trace.arrangement;\n    var horizontal = trace.orientation === 'h';\n    var nodePad = trace.node.pad;\n    var nodeThickness = trace.node.thickness;\n    var nodeLineColor = trace.node.line.color;\n    var nodeLineWidth = trace.node.line.width;\n    var linkLineColor = trace.link.line.color;\n    var linkLineWidth = trace.link.line.width;\n    var valueFormat = trace.valueformat;\n    var valueSuffix = trace.valuesuffix;\n    var textFont = trace.textfont;\n\n    var width = layout.width * (domain.x[1] - domain.x[0]);\n    var height = layout.height * (domain.y[1] - domain.y[0]);\n\n    var links = [];\n    var hasLinkColorArray = isArrayOrTypedArray(linkSpec.color);\n    var linkedNodes = {};\n\n    var nodeCount = nodeSpec.label.length;\n    var i;\n    for(i = 0; i < linkSpec.value.length; i++) {\n        var val = linkSpec.value[i];\n        // remove negative values, but keep zeros with special treatment\n        var source = linkSpec.source[i];\n        var target = linkSpec.target[i];\n        if(!(val > 0 && isIndex(source, nodeCount) && isIndex(target, nodeCount))) {\n            continue;\n        }\n\n        source = +source;\n        target = +target;\n        linkedNodes[source] = linkedNodes[target] = true;\n\n        links.push({\n            pointNumber: i,\n            label: linkSpec.label[i],\n            color: hasLinkColorArray ? linkSpec.color[i] : linkSpec.color,\n            source: source,\n            target: target,\n            value: +val\n        });\n    }\n\n    var hasNodeColorArray = isArrayOrTypedArray(nodeSpec.color);\n    var nodes = [];\n    var removedNodes = false;\n    var nodeIndices = {};\n    for(i = 0; i < nodeCount; i++) {\n        if(linkedNodes[i]) {\n            var l = nodeSpec.label[i];\n            nodeIndices[i] = nodes.length;\n            nodes.push({\n                pointNumber: i,\n                label: l,\n                color: hasNodeColorArray ? nodeSpec.color[i] : nodeSpec.color\n            });\n        }\n        else removedNodes = true;\n    }\n\n    // need to re-index links now, since we didn't put all the nodes in\n    if(removedNodes) {\n        for(i = 0; i < links.length; i++) {\n            links[i].source = nodeIndices[links[i].source];\n            links[i].target = nodeIndices[links[i].target];\n        }\n    }\n\n    var sankey = d3sankey()\n        .size(horizontal ? [width, height] : [height, width])\n        .nodeWidth(nodeThickness)\n        .nodePadding(nodePad)\n        .nodes(nodes)\n        .links(links)\n        .layout(c.sankeyIterations);\n\n    if(sankey.nodePadding() < nodePad) {\n        Lib.warn('node.pad was reduced to ', sankey.nodePadding(), ' to fit within the figure.');\n    }\n\n    var node, sankeyNodes = sankey.nodes();\n    for(var n = 0; n < sankeyNodes.length; n++) {\n        node = sankeyNodes[n];\n        node.width = width;\n        node.height = height;\n    }\n\n    switchToForceFormat(nodes);\n\n    return {\n        key: traceIndex,\n        trace: trace,\n        guid: Math.floor(1e12 * (1 + Math.random())),\n        horizontal: horizontal,\n        width: width,\n        height: height,\n        nodePad: nodePad,\n        nodeLineColor: nodeLineColor,\n        nodeLineWidth: nodeLineWidth,\n        linkLineColor: linkLineColor,\n        linkLineWidth: linkLineWidth,\n        valueFormat: valueFormat,\n        valueSuffix: valueSuffix,\n        textFont: textFont,\n        translateX: domain.x[0] * layout.width + layout.margin.l,\n        translateY: layout.height - domain.y[1] * layout.height + layout.margin.t,\n        dragParallel: horizontal ? height : width,\n        dragPerpendicular: horizontal ? width : height,\n        nodes: nodes,\n        links: links,\n        arrangement: arrangement,\n        sankey: sankey,\n        forceLayouts: {},\n        interactionState: {\n            dragInProgress: false,\n            hovered: false\n        }\n    };\n}\n\nfunction linkModel(uniqueKeys, d, l) {\n    var tc = tinycolor(l.color);\n    var basicKey = l.source.label + '|' + l.target.label;\n    var foundKey = uniqueKeys[basicKey];\n    uniqueKeys[basicKey] = (foundKey || 0) + 1;\n    var key = basicKey + '__' + uniqueKeys[basicKey];\n\n    // for event data\n    l.trace = d.trace;\n    l.curveNumber = d.trace.index;\n\n    return {\n        key: key,\n        traceId: d.key,\n        link: l,\n        tinyColorHue: Color.tinyRGB(tc),\n        tinyColorAlpha: tc.getAlpha(),\n        linkLineColor: d.linkLineColor,\n        linkLineWidth: d.linkLineWidth,\n        valueFormat: d.valueFormat,\n        valueSuffix: d.valueSuffix,\n        sankey: d.sankey,\n        interactionState: d.interactionState\n    };\n}\n\nfunction nodeModel(uniqueKeys, d, n) {\n    var tc = tinycolor(n.color),\n        zoneThicknessPad = c.nodePadAcross,\n        zoneLengthPad = d.nodePad / 2,\n        visibleThickness = n.dx,\n        visibleLength = Math.max(0.5, n.dy);\n\n    var basicKey = n.label;\n    var foundKey = uniqueKeys[basicKey];\n    uniqueKeys[basicKey] = (foundKey || 0) + 1;\n    var key = basicKey + '__' + uniqueKeys[basicKey];\n\n    // for event data\n    n.trace = d.trace;\n    n.curveNumber = d.trace.index;\n\n    return {\n        key: key,\n        traceId: d.key,\n        node: n,\n        nodePad: d.nodePad,\n        nodeLineColor: d.nodeLineColor,\n        nodeLineWidth: d.nodeLineWidth,\n        textFont: d.textFont,\n        size: d.horizontal ? d.height : d.width,\n        visibleWidth: Math.ceil(visibleThickness),\n        visibleHeight: visibleLength,\n        zoneX: -zoneThicknessPad,\n        zoneY: -zoneLengthPad,\n        zoneWidth: visibleThickness + 2 * zoneThicknessPad,\n        zoneHeight: visibleLength + 2 * zoneLengthPad,\n        labelY: d.horizontal ? n.dy / 2 + 1 : n.dx / 2 + 1,\n        left: n.originalLayer === 1,\n        sizeAcross: d.width,\n        forceLayouts: d.forceLayouts,\n        horizontal: d.horizontal,\n        darkBackground: tc.getBrightness() <= 128,\n        tinyColorHue: Color.tinyRGB(tc),\n        tinyColorAlpha: tc.getAlpha(),\n        valueFormat: d.valueFormat,\n        valueSuffix: d.valueSuffix,\n        sankey: d.sankey,\n        arrangement: d.arrangement,\n        uniqueNodeLabelPathId: [d.guid, d.key, key].join(' '),\n        interactionState: d.interactionState\n    };\n}\n\n// rendering snippets\n\nfunction updateNodePositions(sankeyNode) {\n    sankeyNode\n        .attr('transform', function(d) {\n            return 'translate(' + d.node.x.toFixed(3) + ', ' + (d.node.y - d.node.dy / 2).toFixed(3) + ')';\n        });\n}\n\nfunction linkPath(d) {\n    var nodes = d.sankey.nodes();\n    switchToSankeyFormat(nodes);\n    var result = d.sankey.link()(d.link);\n    switchToForceFormat(nodes);\n    return result;\n}\n\nfunction updateNodeShapes(sankeyNode) {\n    sankeyNode.call(updateNodePositions);\n}\n\nfunction updateShapes(sankeyNode, sankeyLink) {\n    sankeyNode.call(updateNodeShapes);\n    sankeyLink.attr('d', linkPath);\n}\n\nfunction sizeNode(rect) {\n    rect.attr('width', function(d) {return d.visibleWidth;})\n        .attr('height', function(d) {return d.visibleHeight;});\n}\n\nfunction salientEnough(d) {return d.link.dy > 1 || d.linkLineWidth > 0;}\n\nfunction sankeyTransform(d) {\n    var offset = 'translate(' + d.translateX + ',' + d.translateY + ')';\n    return offset + (d.horizontal ? 'matrix(1 0 0 1 0 0)' : 'matrix(0 1 1 0 0 0)');\n}\n\nfunction nodeCentering(d) {\n    return 'translate(' + (d.horizontal ? 0 : d.labelY) + ' ' + (d.horizontal ? d.labelY : 0) + ')';\n}\n\nfunction textGuidePath(d) {\n    return d3.svg.line()([\n        [d.horizontal ? (d.left ? -d.sizeAcross : d.visibleWidth + c.nodeTextOffsetHorizontal) : c.nodeTextOffsetHorizontal, 0],\n        [d.horizontal ? (d.left ? - c.nodeTextOffsetHorizontal : d.sizeAcross) : d.visibleHeight - c.nodeTextOffsetHorizontal, 0]\n    ]);}\n\nfunction sankeyInverseTransform(d) {return d.horizontal ? 'matrix(1 0 0 1 0 0)' : 'matrix(0 1 1 0 0 0)';}\nfunction textFlip(d) {return d.horizontal ? 'scale(1 1)' : 'scale(-1 1)';}\nfunction nodeTextColor(d) {return d.darkBackground && !d.horizontal ? 'rgb(255,255,255)' : 'rgb(0,0,0)';}\nfunction nodeTextOffset(d) {return d.horizontal && d.left ? '100%' : '0%';}\n\n// event handling\n\nfunction attachPointerEvents(selection, sankey, eventSet) {\n    selection\n        .on('.basic', null) // remove any preexisting handlers\n        .on('mouseover.basic', function(d) {\n            if(!d.interactionState.dragInProgress) {\n                eventSet.hover(this, d, sankey);\n                d.interactionState.hovered = [this, d];\n            }\n        })\n        .on('mousemove.basic', function(d) {\n            if(!d.interactionState.dragInProgress) {\n                eventSet.follow(this, d);\n                d.interactionState.hovered = [this, d];\n            }\n        })\n        .on('mouseout.basic', function(d) {\n            if(!d.interactionState.dragInProgress) {\n                eventSet.unhover(this, d, sankey);\n                d.interactionState.hovered = false;\n            }\n        })\n        .on('click.basic', function(d) {\n            if(d.interactionState.hovered) {\n                eventSet.unhover(this, d, sankey);\n                d.interactionState.hovered = false;\n            }\n            if(!d.interactionState.dragInProgress) {\n                eventSet.select(this, d, sankey);\n            }\n        });\n}\n\nfunction attachDragHandler(sankeyNode, sankeyLink, callbacks) {\n\n    var dragBehavior = d3.behavior.drag()\n\n        .origin(function(d) {return d.node;})\n\n        .on('dragstart', function(d) {\n            if(d.arrangement === 'fixed') return;\n            Lib.raiseToTop(this);\n            d.interactionState.dragInProgress = d.node;\n            saveCurrentDragPosition(d.node);\n            if(d.interactionState.hovered) {\n                callbacks.nodeEvents.unhover.apply(0, d.interactionState.hovered);\n                d.interactionState.hovered = false;\n            }\n            if(d.arrangement === 'snap') {\n                var forceKey = d.traceId + '|' + Math.floor(d.node.originalX);\n                if(d.forceLayouts[forceKey]) {\n                    d.forceLayouts[forceKey].alpha(1);\n                } else { // make a forceLayout iff needed\n                    attachForce(sankeyNode, forceKey, d);\n                }\n                startForce(sankeyNode, sankeyLink, d, forceKey);\n            }\n        })\n\n        .on('drag', function(d) {\n            if(d.arrangement === 'fixed') return;\n            var x = d3.event.x;\n            var y = d3.event.y;\n            if(d.arrangement === 'snap') {\n                d.node.x = x;\n                d.node.y = y;\n            } else {\n                if(d.arrangement === 'freeform') {\n                    d.node.x = x;\n                }\n                d.node.y = Math.max(d.node.dy / 2, Math.min(d.size - d.node.dy / 2, y));\n            }\n            saveCurrentDragPosition(d.node);\n            if(d.arrangement !== 'snap') {\n                d.sankey.relayout();\n                updateShapes(sankeyNode.filter(sameLayer(d)), sankeyLink);\n            }\n        })\n\n        .on('dragend', function(d) {\n            d.interactionState.dragInProgress = false;\n        });\n\n    sankeyNode\n        .on('.drag', null) // remove possible previous handlers\n        .call(dragBehavior);\n}\n\nfunction attachForce(sankeyNode, forceKey, d) {\n    var nodes = d.sankey.nodes().filter(function(n) {return n.originalX === d.node.originalX;});\n    d.forceLayouts[forceKey] = d3Force.forceSimulation(nodes)\n        .alphaDecay(0)\n        .force('collide', d3Force.forceCollide()\n            .radius(function(n) {return n.dy / 2 + d.nodePad / 2;})\n            .strength(1)\n            .iterations(c.forceIterations))\n        .force('constrain', snappingForce(sankeyNode, forceKey, nodes, d))\n        .stop();\n}\n\nfunction startForce(sankeyNode, sankeyLink, d, forceKey) {\n    window.requestAnimationFrame(function faster() {\n        for(var i = 0; i < c.forceTicksPerFrame; i++) {\n            d.forceLayouts[forceKey].tick();\n        }\n        d.sankey.relayout();\n        updateShapes(sankeyNode.filter(sameLayer(d)), sankeyLink);\n        if(d.forceLayouts[forceKey].alpha() > 0) {\n            window.requestAnimationFrame(faster);\n        }\n    });\n}\n\nfunction snappingForce(sankeyNode, forceKey, nodes, d) {\n    return function _snappingForce() {\n        var maxVelocity = 0;\n        for(var i = 0; i < nodes.length; i++) {\n            var n = nodes[i];\n            if(n === d.interactionState.dragInProgress) { // constrain node position to the dragging pointer\n                n.x = n.lastDraggedX;\n                n.y = n.lastDraggedY;\n            } else {\n                n.vx = (n.originalX - n.x) / c.forceTicksPerFrame; // snap to layer\n                n.y = Math.min(d.size - n.dy / 2, Math.max(n.dy / 2, n.y)); // constrain to extent\n            }\n            maxVelocity = Math.max(maxVelocity, Math.abs(n.vx), Math.abs(n.vy));\n        }\n        if(!d.interactionState.dragInProgress && maxVelocity < 0.1 && d.forceLayouts[forceKey].alpha() > 0) {\n            d.forceLayouts[forceKey].alpha(0);\n        }\n    };\n}\n\n// scene graph\nmodule.exports = function(svg, styledData, layout, callbacks) {\n    var sankey = svg.selectAll('.' + c.cn.sankey)\n        .data(styledData\n                .filter(function(d) {return unwrap(d).trace.visible;})\n                .map(sankeyModel.bind(null, layout)),\n            keyFun);\n\n    sankey.exit()\n        .remove();\n\n    sankey.enter()\n        .append('g')\n        .classed(c.cn.sankey, true)\n        .style('box-sizing', 'content-box')\n        .style('position', 'absolute')\n        .style('left', 0)\n        .style('shape-rendering', 'geometricPrecision')\n        .style('pointer-events', 'auto')\n        .attr('transform', sankeyTransform);\n\n    sankey.transition()\n        .ease(c.ease).duration(c.duration)\n        .attr('transform', sankeyTransform);\n\n    var sankeyLinks = sankey.selectAll('.' + c.cn.sankeyLinks)\n        .data(repeat, keyFun);\n\n    sankeyLinks.enter()\n        .append('g')\n        .classed(c.cn.sankeyLinks, true)\n        .style('fill', 'none');\n\n    var sankeyLink = sankeyLinks.selectAll('.' + c.cn.sankeyLink)\n        .data(function(d) {\n            var uniqueKeys = {};\n            return d.sankey.links()\n                .filter(function(l) {return l.value;})\n                .map(linkModel.bind(null, uniqueKeys, d));\n        }, keyFun);\n\n    sankeyLink.enter()\n        .append('path')\n        .classed(c.cn.sankeyLink, true)\n        .attr('d', linkPath)\n        .call(attachPointerEvents, sankey, callbacks.linkEvents);\n\n    sankeyLink\n        .style('stroke', function(d) {\n            return salientEnough(d) ? Color.tinyRGB(tinycolor(d.linkLineColor)) : d.tinyColorHue;\n        })\n        .style('stroke-opacity', function(d) {\n            return salientEnough(d) ? Color.opacity(d.linkLineColor) : d.tinyColorAlpha;\n        })\n        .style('stroke-width', function(d) {return salientEnough(d) ? d.linkLineWidth : 1;})\n        .style('fill', function(d) {return d.tinyColorHue;})\n        .style('fill-opacity', function(d) {return d.tinyColorAlpha;});\n\n    sankeyLink.transition()\n        .ease(c.ease).duration(c.duration)\n        .attr('d', linkPath);\n\n    sankeyLink.exit().transition()\n        .ease(c.ease).duration(c.duration)\n        .style('opacity', 0)\n        .remove();\n\n    var sankeyNodeSet = sankey.selectAll('.' + c.cn.sankeyNodeSet)\n        .data(repeat, keyFun);\n\n    sankeyNodeSet.enter()\n        .append('g')\n        .classed(c.cn.sankeyNodeSet, true);\n\n    sankeyNodeSet\n        .style('cursor', function(d) {\n            switch(d.arrangement) {\n                case 'fixed': return 'default';\n                case 'perpendicular': return 'ns-resize';\n                default: return 'move';\n            }\n        });\n\n    var sankeyNode = sankeyNodeSet.selectAll('.' + c.cn.sankeyNode)\n        .data(function(d) {\n            var nodes = d.sankey.nodes();\n            var uniqueKeys = {};\n            persistOriginalPlace(nodes);\n            return nodes\n                .filter(function(n) {return n.value;})\n                .map(nodeModel.bind(null, uniqueKeys, d));\n        }, keyFun);\n\n    sankeyNode.enter()\n        .append('g')\n        .classed(c.cn.sankeyNode, true)\n        .call(updateNodePositions)\n        .call(attachPointerEvents, sankey, callbacks.nodeEvents);\n\n    sankeyNode\n        .call(attachDragHandler, sankeyLink, callbacks); // has to be here as it binds sankeyLink\n\n    sankeyNode.transition()\n        .ease(c.ease).duration(c.duration)\n        .call(updateNodePositions);\n\n    sankeyNode.exit().transition()\n        .ease(c.ease).duration(c.duration)\n        .style('opacity', 0)\n        .remove();\n\n    var nodeRect = sankeyNode.selectAll('.' + c.cn.nodeRect)\n        .data(repeat);\n\n    nodeRect.enter()\n        .append('rect')\n        .classed(c.cn.nodeRect, true)\n        .call(sizeNode);\n\n    nodeRect\n        .style('stroke-width', function(d) {return d.nodeLineWidth;})\n        .style('stroke', function(d) {return Color.tinyRGB(tinycolor(d.nodeLineColor));})\n        .style('stroke-opacity', function(d) {return Color.opacity(d.nodeLineColor);})\n        .style('fill', function(d) {return d.tinyColorHue;})\n        .style('fill-opacity', function(d) {return d.tinyColorAlpha;});\n\n    nodeRect.transition()\n        .ease(c.ease).duration(c.duration)\n        .call(sizeNode);\n\n    var nodeCapture = sankeyNode.selectAll('.' + c.cn.nodeCapture)\n        .data(repeat);\n\n    nodeCapture.enter()\n        .append('rect')\n        .classed(c.cn.nodeCapture, true)\n        .style('fill-opacity', 0);\n\n    nodeCapture\n        .attr('x', function(d) {return d.zoneX;})\n        .attr('y', function(d) {return d.zoneY;})\n        .attr('width', function(d) {return d.zoneWidth;})\n        .attr('height', function(d) {return d.zoneHeight;});\n\n    var nodeCentered = sankeyNode.selectAll('.' + c.cn.nodeCentered)\n        .data(repeat);\n\n    nodeCentered.enter()\n        .append('g')\n        .classed(c.cn.nodeCentered, true)\n        .attr('transform', nodeCentering);\n\n    nodeCentered\n        .transition()\n        .ease(c.ease).duration(c.duration)\n        .attr('transform', nodeCentering);\n\n    var nodeLabelGuide = nodeCentered.selectAll('.' + c.cn.nodeLabelGuide)\n        .data(repeat);\n\n    nodeLabelGuide.enter()\n        .append('path')\n        .classed(c.cn.nodeLabelGuide, true)\n        .attr('id', function(d) {return d.uniqueNodeLabelPathId;})\n        .attr('d', textGuidePath)\n        .attr('transform', sankeyInverseTransform);\n\n    nodeLabelGuide\n        .transition()\n        .ease(c.ease).duration(c.duration)\n        .attr('d', textGuidePath)\n        .attr('transform', sankeyInverseTransform);\n\n    var nodeLabel = nodeCentered.selectAll('.' + c.cn.nodeLabel)\n        .data(repeat);\n\n    nodeLabel.enter()\n        .append('text')\n        .classed(c.cn.nodeLabel, true)\n        .attr('transform', textFlip)\n        .style('user-select', 'none')\n        .style('cursor', 'default')\n        .style('fill', 'black');\n\n    nodeLabel\n        .style('text-shadow', function(d) {\n            return d.horizontal ? '-1px 1px 1px #fff, 1px 1px 1px #fff, 1px -1px 1px #fff, -1px -1px 1px #fff' : 'none';\n        })\n        .each(function(d) {Drawing.font(nodeLabel, d.textFont);});\n\n    nodeLabel\n        .transition()\n        .ease(c.ease).duration(c.duration)\n        .attr('transform', textFlip);\n\n    var nodeLabelTextPath = nodeLabel.selectAll('.' + c.cn.nodeLabelTextPath)\n        .data(repeat);\n\n    nodeLabelTextPath.enter()\n        .append('textPath')\n        .classed(c.cn.nodeLabelTextPath, true)\n        .attr('alignment-baseline', 'middle')\n        .attr('xlink:href', function(d) {return '#' + d.uniqueNodeLabelPathId;})\n        .attr('startOffset', nodeTextOffset)\n        .style('fill', nodeTextColor);\n\n    nodeLabelTextPath\n        .text(function(d) {return d.horizontal || d.node.dy > 5 ? d.node.label : '';})\n        .attr('text-anchor', function(d) {return d.horizontal && d.left ? 'end' : 'start';});\n\n    nodeLabelTextPath\n        .transition()\n        .ease(c.ease).duration(c.duration)\n        .attr('startOffset', nodeTextOffset)\n        .style('fill', nodeTextColor);\n};\n\n},{\"../../components/color\":570,\"../../components/drawing\":595,\"../../lib\":696,\"../../lib/gup\":693,\"./constants\":1038,\"@plotly/d3-sankey\":46,\"d3\":148,\"d3-force\":144,\"tinycolor2\":514}],1043:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\n\n// arrayOk attributes, merge them into calcdata array\nmodule.exports = function arraysToCalcdata(cd, trace) {\n\n    // so each point knows which index it originally came from\n    for(var i = 0; i < cd.length; i++) cd[i].i = i;\n\n    Lib.mergeArray(trace.text, cd, 'tx');\n    Lib.mergeArray(trace.hovertext, cd, 'htx');\n    Lib.mergeArray(trace.customdata, cd, 'data');\n    Lib.mergeArray(trace.textposition, cd, 'tp');\n    if(trace.textfont) {\n        Lib.mergeArray(trace.textfont.size, cd, 'ts');\n        Lib.mergeArray(trace.textfont.color, cd, 'tc');\n        Lib.mergeArray(trace.textfont.family, cd, 'tf');\n    }\n\n    var marker = trace.marker;\n    if(marker) {\n        Lib.mergeArray(marker.size, cd, 'ms');\n        Lib.mergeArray(marker.opacity, cd, 'mo');\n        Lib.mergeArray(marker.symbol, cd, 'mx');\n        Lib.mergeArray(marker.color, cd, 'mc');\n\n        var markerLine = marker.line;\n        if(marker.line) {\n            Lib.mergeArray(markerLine.color, cd, 'mlc');\n            Lib.mergeArray(markerLine.width, cd, 'mlw');\n        }\n\n        var markerGradient = marker.gradient;\n        if(markerGradient && markerGradient.type !== 'none') {\n            Lib.mergeArray(markerGradient.type, cd, 'mgt');\n            Lib.mergeArray(markerGradient.color, cd, 'mgc');\n        }\n    }\n};\n\n},{\"../../lib\":696}],1044:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorAttributes = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar dash = _dereq_('../../components/drawing/attributes').dash;\n\nvar Drawing = _dereq_('../../components/drawing');\nvar constants = _dereq_('./constants');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nmodule.exports = {\n    x: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n    x0: {\n        valType: 'any',\n        dflt: 0,\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    dx: {\n        valType: 'number',\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n    y: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n    y0: {\n        valType: 'any',\n        dflt: 0,\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    dy: {\n        valType: 'number',\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n\n    stackgroup: {\n        valType: 'string',\n        \n        dflt: '',\n        editType: 'calc',\n        \n    },\n    orientation: {\n        valType: 'enumerated',\n        \n        values: ['v', 'h'],\n        editType: 'calc',\n        \n    },\n    groupnorm: {\n        valType: 'enumerated',\n        values: ['', 'fraction', 'percent'],\n        dflt: '',\n        \n        editType: 'calc',\n        \n    },\n    stackgaps: {\n        valType: 'enumerated',\n        values: ['infer zero', 'interpolate'],\n        dflt: 'infer zero',\n        \n        editType: 'calc',\n        \n    },\n\n    text: {\n        valType: 'string',\n        \n        dflt: '',\n        arrayOk: true,\n        editType: 'calc',\n        \n    },\n    hovertext: {\n        valType: 'string',\n        \n        dflt: '',\n        arrayOk: true,\n        editType: 'style',\n        \n    },\n    mode: {\n        valType: 'flaglist',\n        flags: ['lines', 'markers', 'text'],\n        extras: ['none'],\n        \n        editType: 'calc',\n        \n    },\n    hoveron: {\n        valType: 'flaglist',\n        flags: ['points', 'fills'],\n        \n        editType: 'style',\n        \n    },\n    line: {\n        color: {\n            valType: 'color',\n            \n            editType: 'style',\n            \n        },\n        width: {\n            valType: 'number',\n            min: 0,\n            dflt: 2,\n            \n            editType: 'style',\n            \n        },\n        shape: {\n            valType: 'enumerated',\n            values: ['linear', 'spline', 'hv', 'vh', 'hvh', 'vhv'],\n            dflt: 'linear',\n            \n            editType: 'plot',\n            \n        },\n        smoothing: {\n            valType: 'number',\n            min: 0,\n            max: 1.3,\n            dflt: 1,\n            \n            editType: 'plot',\n            \n        },\n        dash: extendFlat({}, dash, {editType: 'style'}),\n        simplify: {\n            valType: 'boolean',\n            dflt: true,\n            \n            editType: 'plot',\n            \n        },\n        editType: 'plot'\n    },\n\n    connectgaps: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'calc',\n        \n    },\n    cliponaxis: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'plot',\n        \n    },\n\n    fill: {\n        valType: 'enumerated',\n        values: ['none', 'tozeroy', 'tozerox', 'tonexty', 'tonextx', 'toself', 'tonext'],\n        \n        editType: 'calc',\n        \n    },\n    fillcolor: {\n        valType: 'color',\n        \n        editType: 'style',\n        \n    },\n    marker: extendFlat({\n        symbol: {\n            valType: 'enumerated',\n            values: Drawing.symbolList,\n            dflt: 'circle',\n            arrayOk: true,\n            \n            editType: 'style',\n            \n        },\n        opacity: {\n            valType: 'number',\n            min: 0,\n            max: 1,\n            arrayOk: true,\n            \n            editType: 'style',\n            \n        },\n        size: {\n            valType: 'number',\n            min: 0,\n            dflt: 6,\n            arrayOk: true,\n            \n            editType: 'calc',\n            \n        },\n        maxdisplayed: {\n            valType: 'number',\n            min: 0,\n            dflt: 0,\n            \n            editType: 'plot',\n            \n        },\n        sizeref: {\n            valType: 'number',\n            dflt: 1,\n            \n            editType: 'calc',\n            \n        },\n        sizemin: {\n            valType: 'number',\n            min: 0,\n            dflt: 0,\n            \n            editType: 'calc',\n            \n        },\n        sizemode: {\n            valType: 'enumerated',\n            values: ['diameter', 'area'],\n            dflt: 'diameter',\n            \n            editType: 'calc',\n            \n        },\n\n        colorbar: colorbarAttrs,\n\n        line: extendFlat({\n            width: {\n                valType: 'number',\n                min: 0,\n                arrayOk: true,\n                \n                editType: 'style',\n                \n            },\n            editType: 'calc'\n        },\n            colorAttributes('marker.line')\n        ),\n        gradient: {\n            type: {\n                valType: 'enumerated',\n                values: ['radial', 'horizontal', 'vertical', 'none'],\n                arrayOk: true,\n                dflt: 'none',\n                \n                editType: 'calc',\n                \n            },\n            color: {\n                valType: 'color',\n                arrayOk: true,\n                \n                editType: 'calc',\n                \n            },\n            editType: 'calc'\n        },\n        editType: 'calc'\n    },\n        colorAttributes('marker')\n    ),\n    selected: {\n        marker: {\n            opacity: {\n                valType: 'number',\n                min: 0,\n                max: 1,\n                \n                editType: 'style',\n                \n            },\n            color: {\n                valType: 'color',\n                \n                editType: 'style',\n                \n            },\n            size: {\n                valType: 'number',\n                min: 0,\n                \n                editType: 'style',\n                \n            },\n            editType: 'style'\n        },\n        textfont: {\n            color: {\n                valType: 'color',\n                \n                editType: 'style',\n                \n            },\n            editType: 'style'\n        },\n        editType: 'style'\n    },\n    unselected: {\n        marker: {\n            opacity: {\n                valType: 'number',\n                min: 0,\n                max: 1,\n                \n                editType: 'style',\n                \n            },\n            color: {\n                valType: 'color',\n                \n                editType: 'style',\n                \n            },\n            size: {\n                valType: 'number',\n                min: 0,\n                \n                editType: 'style',\n                \n            },\n            editType: 'style'\n        },\n        textfont: {\n            color: {\n                valType: 'color',\n                \n                editType: 'style',\n                \n            },\n            editType: 'style'\n        },\n        editType: 'style'\n    },\n\n    textposition: {\n        valType: 'enumerated',\n        values: [\n            'top left', 'top center', 'top right',\n            'middle left', 'middle center', 'middle right',\n            'bottom left', 'bottom center', 'bottom right'\n        ],\n        dflt: 'middle center',\n        arrayOk: true,\n        \n        editType: 'calc',\n        \n    },\n    textfont: fontAttrs({\n        editType: 'calc',\n        colorEditType: 'style',\n        arrayOk: true,\n        \n    }),\n\n    r: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    t: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    }\n};\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../components/drawing\":595,\"../../components/drawing/attributes\":594,\"../../lib/extend\":685,\"../../plots/font_attributes\":772,\"./constants\":1048}],1045:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar Lib = _dereq_('../../lib');\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nvar subTypes = _dereq_('./subtypes');\nvar calcColorscale = _dereq_('./colorscale_calc');\nvar arraysToCalcdata = _dereq_('./arrays_to_calcdata');\nvar calcSelection = _dereq_('./calc_selection');\n\nfunction calc(gd, trace) {\n    var fullLayout = gd._fullLayout;\n    var xa = Axes.getFromId(gd, trace.xaxis || 'x');\n    var ya = Axes.getFromId(gd, trace.yaxis || 'y');\n    var x = xa.makeCalcdata(trace, 'x');\n    var y = ya.makeCalcdata(trace, 'y');\n    var serieslen = trace._length;\n    var cd = new Array(serieslen);\n    var ids = trace.ids;\n    var stackGroupOpts = getStackOpts(trace, fullLayout, xa, ya);\n    var interpolateGaps = false;\n    var isV, i, j, k, interpolate, vali;\n\n    setFirstScatter(fullLayout, trace);\n\n    var xAttr = 'x';\n    var yAttr = 'y';\n    var posAttr;\n    if(stackGroupOpts) {\n        stackGroupOpts.traceIndices.push(trace.index);\n        isV = stackGroupOpts.orientation === 'v';\n        // size, like we use for bar\n        if(isV) {\n            yAttr = 's';\n            posAttr = 'x';\n        }\n        else {\n            xAttr = 's';\n            posAttr = 'y';\n        }\n        interpolate = stackGroupOpts.stackgaps === 'interpolate';\n    }\n    else {\n        var ppad = calcMarkerSize(trace, serieslen);\n        calcAxisExpansion(gd, trace, xa, ya, x, y, ppad);\n    }\n\n    for(i = 0; i < serieslen; i++) {\n        var cdi = cd[i] = {};\n        var xValid = isNumeric(x[i]);\n        var yValid = isNumeric(y[i]);\n        if(xValid && yValid) {\n            cdi[xAttr] = x[i];\n            cdi[yAttr] = y[i];\n        }\n        // if we're stacking we need to hold on to all valid positions\n        // even with invalid sizes\n        else if(stackGroupOpts && (isV ? xValid : yValid)) {\n            cdi[posAttr] = isV ? x[i] : y[i];\n            cdi.gap = true;\n            if(interpolate) {\n                cdi.s = BADNUM;\n                interpolateGaps = true;\n            }\n            else {\n                cdi.s = 0;\n            }\n        }\n        else {\n            cdi[xAttr] = cdi[yAttr] = BADNUM;\n        }\n\n        if(ids) {\n            cdi.id = String(ids[i]);\n        }\n    }\n\n    arraysToCalcdata(cd, trace);\n    calcColorscale(trace);\n    calcSelection(cd, trace);\n\n    if(stackGroupOpts) {\n        // remove bad positions and sort\n        // note that original indices get added to cd in arraysToCalcdata\n        i = 0;\n        while(i < cd.length) {\n            if(cd[i][posAttr] === BADNUM) {\n                cd.splice(i, 1);\n            }\n            else i++;\n        }\n\n        Lib.sort(cd, function(a, b) {\n            return (a[posAttr] - b[posAttr]) || (a.i - b.i);\n        });\n\n        if(interpolateGaps) {\n            // first fill the beginning with constant from the first point\n            i = 0;\n            while(i < cd.length - 1 && cd[i].gap) {\n                i++;\n            }\n            vali = cd[i].s;\n            if(!vali) vali = cd[i].s = 0; // in case of no data AT ALL in this trace - use 0\n            for(j = 0; j < i; j++) {\n                cd[j].s = vali;\n            }\n            // then fill the end with constant from the last point\n            k = cd.length - 1;\n            while(k > i && cd[k].gap) {\n                k--;\n            }\n            vali = cd[k].s;\n            for(j = cd.length - 1; j > k; j--) {\n                cd[j].s = vali;\n            }\n            // now interpolate internal gaps linearly\n            while(i < k) {\n                i++;\n                if(cd[i].gap) {\n                    j = i + 1;\n                    while(cd[j].gap) {\n                        j++;\n                    }\n                    var pos0 = cd[i - 1][posAttr];\n                    var size0 = cd[i - 1].s;\n                    var m = (cd[j].s - size0) / (cd[j][posAttr] - pos0);\n                    while(i < j) {\n                        cd[i].s = size0 + (cd[i][posAttr] - pos0) * m;\n                        i++;\n                    }\n                }\n            }\n        }\n    }\n\n    return cd;\n}\n\nfunction calcAxisExpansion(gd, trace, xa, ya, x, y, ppad) {\n    var serieslen = trace._length;\n    var fullLayout = gd._fullLayout;\n    var xId = xa._id;\n    var yId = ya._id;\n    var firstScatter = fullLayout._firstScatter[firstScatterGroup(trace)] === trace.uid;\n    var stackOrientation = (getStackOpts(trace, fullLayout, xa, ya) || {}).orientation;\n    var fill = trace.fill;\n\n    // cancel minimum tick spacings (only applies to bars and boxes)\n    xa._minDtick = 0;\n    ya._minDtick = 0;\n\n    // check whether bounds should be tight, padded, extended to zero...\n    // most cases both should be padded on both ends, so start with that.\n    var xOptions = {padded: true};\n    var yOptions = {padded: true};\n\n    if(ppad) {\n        xOptions.ppad = yOptions.ppad = ppad;\n    }\n\n    // TODO: text size\n\n    var openEnded = serieslen < 2 || (x[0] !== x[serieslen - 1]) || (y[0] !== y[serieslen - 1]);\n\n    // include zero (tight) and extremes (padded) if fill to zero\n    // (unless the shape is closed, then it's just filling the shape regardless)\n    if(openEnded && (\n        (fill === 'tozerox') ||\n        ((fill === 'tonextx') && (firstScatter || stackOrientation === 'h'))\n    )) {\n        xOptions.tozero = true;\n    }\n\n    // if no error bars, markers or text, or fill to y=0 remove x padding\n    else if(!(trace.error_y || {}).visible && (\n            (fill === 'tonexty' || fill === 'tozeroy') ||\n            (!subTypes.hasMarkers(trace) && !subTypes.hasText(trace))\n        )) {\n        xOptions.padded = false;\n        xOptions.ppad = 0;\n    }\n\n    // now check for y - rather different logic, though still mostly padded both ends\n    // include zero (tight) and extremes (padded) if fill to zero\n    // (unless the shape is closed, then it's just filling the shape regardless)\n    if(openEnded && (\n        (fill === 'tozeroy') ||\n        ((fill === 'tonexty') && (firstScatter || stackOrientation === 'v'))\n    )) {\n        yOptions.tozero = true;\n    }\n\n    // tight y: any x fill\n    else if(fill === 'tonextx' || fill === 'tozerox') {\n        yOptions.padded = false;\n    }\n\n    // N.B. asymmetric splom traces call this with blank {} xa or ya\n    if(xId) trace._extremes[xId] = Axes.findExtremes(xa, x, xOptions);\n    if(yId) trace._extremes[yId] = Axes.findExtremes(ya, y, yOptions);\n}\n\nfunction calcMarkerSize(trace, serieslen) {\n    if(!subTypes.hasMarkers(trace)) return;\n\n    // Treat size like x or y arrays --- Run d2c\n    // this needs to go before ppad computation\n    var marker = trace.marker;\n    var sizeref = 1.6 * (trace.marker.sizeref || 1);\n    var markerTrans;\n\n    if(trace.marker.sizemode === 'area') {\n        markerTrans = function(v) {\n            return Math.max(Math.sqrt((v || 0) / sizeref), 3);\n        };\n    } else {\n        markerTrans = function(v) {\n            return Math.max((v || 0) / sizeref, 3);\n        };\n    }\n\n    if(Lib.isArrayOrTypedArray(marker.size)) {\n        // I tried auto-type but category and dates dont make much sense.\n        var ax = {type: 'linear'};\n        Axes.setConvert(ax);\n\n        var s = ax.makeCalcdata(trace.marker, 'size');\n\n        var sizeOut = new Array(serieslen);\n        for(var i = 0; i < serieslen; i++) {\n            sizeOut[i] = markerTrans(s[i]);\n        }\n        return sizeOut;\n\n    } else {\n        return markerTrans(marker.size);\n    }\n}\n\n/**\n * mark the first scatter trace for each subplot\n * note that scatter and scattergl each get their own first trace\n * note also that I'm doing this during calc rather than supplyDefaults\n * so I don't need to worry about transforms, but if we ever do\n * per-trace calc this will get confused.\n */\nfunction setFirstScatter(fullLayout, trace) {\n    var group = firstScatterGroup(trace);\n    var firstScatter = fullLayout._firstScatter;\n    if(!firstScatter[group]) firstScatter[group] = trace.uid;\n}\n\nfunction firstScatterGroup(trace) {\n    var stackGroup = trace.stackgroup;\n    return trace.xaxis + trace.yaxis + trace.type +\n        (stackGroup ? '-' + stackGroup : '');\n}\n\nfunction getStackOpts(trace, fullLayout, xa, ya) {\n    var stackGroup = trace.stackgroup;\n    if(!stackGroup) return;\n    var stackOpts = fullLayout._scatterStackOpts[xa._id + ya._id][stackGroup];\n    var stackAx = stackOpts.orientation === 'v' ? ya : xa;\n    // Allow stacking only on numeric axes\n    // calc is a little late to be figuring this out, but during supplyDefaults\n    // we don't know the axis type yet\n    if(stackAx.type === 'linear' || stackAx.type === 'log') return stackOpts;\n}\n\nmodule.exports = {\n    calc: calc,\n    calcMarkerSize: calcMarkerSize,\n    calcAxisExpansion: calcAxisExpansion,\n    setFirstScatter: setFirstScatter,\n    getStackOpts: getStackOpts\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"./arrays_to_calcdata\":1043,\"./calc_selection\":1046,\"./colorscale_calc\":1047,\"./subtypes\":1068,\"fast-isnumeric\":214}],1046:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nmodule.exports = function calcSelection(cd, trace) {\n    if(Lib.isArrayOrTypedArray(trace.selectedpoints)) {\n        Lib.tagSelected(cd, trace);\n    }\n};\n\n},{\"../../lib\":696}],1047:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar hasColorscale = _dereq_('../../components/colorscale/has_colorscale');\nvar calcColorscale = _dereq_('../../components/colorscale/calc');\n\nvar subTypes = _dereq_('./subtypes');\n\n\nmodule.exports = function calcMarkerColorscale(trace) {\n    if(subTypes.hasLines(trace) && hasColorscale(trace, 'line')) {\n        calcColorscale(trace, trace.line.color, 'line', 'c');\n    }\n\n    if(subTypes.hasMarkers(trace)) {\n        if(hasColorscale(trace, 'marker')) {\n            calcColorscale(trace, trace.marker.color, 'marker', 'c');\n        }\n        if(hasColorscale(trace, 'marker.line')) {\n            calcColorscale(trace, trace.marker.line.color, 'marker.line', 'c');\n        }\n    }\n};\n\n},{\"../../components/colorscale/calc\":578,\"../../components/colorscale/has_colorscale\":584,\"./subtypes\":1068}],1048:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = {\n    PTS_LINESONLY: 20,\n\n    // fixed parameters of clustering and clipping algorithms\n\n    // fraction of clustering tolerance \"so close we don't even consider it a new point\"\n    minTolerance: 0.2,\n    // how fast does clustering tolerance increase as you get away from the visible region\n    toleranceGrowth: 10,\n\n    // number of viewport sizes away from the visible region\n    // at which we clip all lines to the perimeter\n    maxScreensAway: 20\n};\n\n},{}],1049:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar calc = _dereq_('./calc');\n\n/*\n * Scatter stacking & normalization calculations\n * runs per subplot, and can handle multiple stacking groups\n */\n\nmodule.exports = function crossTraceCalc(gd, plotinfo) {\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n    var subplot = xa._id + ya._id;\n\n    var subplotStackOpts = gd._fullLayout._scatterStackOpts[subplot];\n    if(!subplotStackOpts) return;\n\n    var calcTraces = gd.calcdata;\n\n    var i, j, k, i2, cd, cd0, posj, sumj, norm;\n    var groupOpts, interpolate, groupnorm, posAttr, valAttr;\n    var hasAnyBlanks;\n\n    for(var stackGroup in subplotStackOpts) {\n        groupOpts = subplotStackOpts[stackGroup];\n        var indices = groupOpts.traceIndices;\n\n        // can get here with no indices if the stack axis is non-numeric\n        if(!indices.length) continue;\n\n        interpolate = groupOpts.stackgaps === 'interpolate';\n        groupnorm = groupOpts.groupnorm;\n        if(groupOpts.orientation === 'v') {\n            posAttr = 'x';\n            valAttr = 'y';\n        }\n        else {\n            posAttr = 'y';\n            valAttr = 'x';\n        }\n        hasAnyBlanks = new Array(indices.length);\n        for(i = 0; i < hasAnyBlanks.length; i++) {\n            hasAnyBlanks[i] = false;\n        }\n\n        // Collect the complete set of all positions across ALL traces.\n        // Start with the first trace, then interleave items from later traces\n        // as needed.\n        // Fill in mising items as we go.\n        cd0 = calcTraces[indices[0]];\n        var allPositions = new Array(cd0.length);\n        for(i = 0; i < cd0.length; i++) {\n            allPositions[i] = cd0[i][posAttr];\n        }\n\n        for(i = 1; i < indices.length; i++) {\n            cd = calcTraces[indices[i]];\n\n            for(j = k = 0; j < cd.length; j++) {\n                posj = cd[j][posAttr];\n                for(; posj > allPositions[k] && k < allPositions.length; k++) {\n                    // the current trace is missing a position from some previous trace(s)\n                    insertBlank(cd, j, allPositions[k], i, hasAnyBlanks, interpolate, posAttr);\n                    j++;\n                }\n                if(posj !== allPositions[k]) {\n                    // previous trace(s) are missing a position from the current trace\n                    for(i2 = 0; i2 < i; i2++) {\n                        insertBlank(calcTraces[indices[i2]], k, posj, i2, hasAnyBlanks, interpolate, posAttr);\n                    }\n                    allPositions.splice(k, 0, posj);\n                }\n                k++;\n            }\n            for(; k < allPositions.length; k++) {\n                insertBlank(cd, j, allPositions[k], i, hasAnyBlanks, interpolate, posAttr);\n                j++;\n            }\n        }\n\n        var serieslen = allPositions.length;\n\n        // stack (and normalize)!\n        for(j = 0; j < cd0.length; j++) {\n            sumj = cd0[j][valAttr] = cd0[j].s;\n            for(i = 1; i < indices.length; i++) {\n                cd = calcTraces[indices[i]];\n                cd[0].trace._rawLength = cd[0].trace._length;\n                cd[0].trace._length = serieslen;\n                sumj += cd[j].s;\n                cd[j][valAttr] = sumj;\n            }\n\n            if(groupnorm) {\n                norm = ((groupnorm === 'fraction') ? sumj : (sumj / 100)) || 1;\n                for(i = 0; i < indices.length; i++) {\n                    var cdj = calcTraces[indices[i]][j];\n                    cdj[valAttr] /= norm;\n                    cdj.sNorm = cdj.s / norm;\n                }\n            }\n        }\n\n        // autorange\n        for(i = 0; i < indices.length; i++) {\n            cd = calcTraces[indices[i]];\n            var trace = cd[0].trace;\n            var ppad = calc.calcMarkerSize(trace, trace._rawLength);\n            var arrayPad = Array.isArray(ppad);\n            if((ppad && hasAnyBlanks[i]) || arrayPad) {\n                var ppadRaw = ppad;\n                ppad = new Array(serieslen);\n                for(j = 0; j < serieslen; j++) {\n                    ppad[j] = cd[j].gap ? 0 : (arrayPad ? ppadRaw[cd[j].i] : ppadRaw);\n                }\n            }\n            var x = new Array(serieslen);\n            var y = new Array(serieslen);\n            for(j = 0; j < serieslen; j++) {\n                x[j] = cd[j].x;\n                y[j] = cd[j].y;\n            }\n            calc.calcAxisExpansion(gd, trace, xa, ya, x, y, ppad);\n\n            // while we're here (in a loop over all traces in the stack)\n            // record the orientation, so hover can find it easily\n            cd[0].t.orientation = groupOpts.orientation;\n        }\n    }\n};\n\nfunction insertBlank(calcTrace, index, position, traceIndex, hasAnyBlanks, interpolate, posAttr) {\n    hasAnyBlanks[traceIndex] = true;\n    var newEntry = {\n        i: null,\n        gap: true,\n        s: 0\n    };\n    newEntry[posAttr] = position;\n    calcTrace.splice(index, 0, newEntry);\n    // Even if we're not interpolating, if one trace has multiple\n    // values at the same position and this trace only has one value there,\n    // we just duplicate that one value rather than insert a zero.\n    // We also make it look like a real point - because it's ambiguous which\n    // one really is the real one!\n    if(index && position === calcTrace[index - 1][posAttr]) {\n        var prevEntry = calcTrace[index - 1];\n        newEntry.s = prevEntry.s;\n        // TODO is it going to cause any problems to have multiple\n        // calcdata points with the same index?\n        newEntry.i = prevEntry.i;\n        newEntry.gap = prevEntry.gap;\n    }\n    else if(interpolate) {\n        newEntry.s = getInterp(calcTrace, index, position, posAttr);\n    }\n    if(!index) {\n        // t and trace need to stay on the first cd entry\n        calcTrace[0].t = calcTrace[1].t;\n        calcTrace[0].trace = calcTrace[1].trace;\n        delete calcTrace[1].t;\n        delete calcTrace[1].trace;\n    }\n}\n\nfunction getInterp(calcTrace, index, position, posAttr) {\n    var pt0 = calcTrace[index - 1];\n    var pt1 = calcTrace[index + 1];\n    if(!pt1) return pt0.s;\n    if(!pt0) return pt1.s;\n    return pt0.s + (pt1.s - pt0.s) * (position - pt0[posAttr]) / (pt1[posAttr] - pt0[posAttr]);\n}\n\n},{\"./calc\":1045}],1050:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\n// remove opacity for any trace that has a fill or is filled to\nmodule.exports = function crossTraceDefaults(fullData) {\n    for(var i = 0; i < fullData.length; i++) {\n        var tracei = fullData[i];\n        if(tracei.type !== 'scatter') continue;\n\n        var filli = tracei.fill;\n        if(filli === 'none' || filli === 'toself') continue;\n\n        tracei.opacity = undefined;\n\n        if(filli === 'tonexty' || filli === 'tonextx') {\n            for(var j = i - 1; j >= 0; j--) {\n                var tracej = fullData[j];\n\n                if((tracej.type === 'scatter') &&\n                        (tracej.xaxis === tracei.xaxis) &&\n                        (tracej.yaxis === tracei.yaxis)) {\n                    tracej.opacity = undefined;\n                    break;\n                }\n            }\n        }\n    }\n};\n\n},{}],1051:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Registry = _dereq_('../../registry');\n\nvar attributes = _dereq_('./attributes');\nvar constants = _dereq_('./constants');\nvar subTypes = _dereq_('./subtypes');\nvar handleXYDefaults = _dereq_('./xy_defaults');\nvar handleStackDefaults = _dereq_('./stack_defaults');\nvar handleMarkerDefaults = _dereq_('./marker_defaults');\nvar handleLineDefaults = _dereq_('./line_defaults');\nvar handleLineShapeDefaults = _dereq_('./line_shape_defaults');\nvar handleTextDefaults = _dereq_('./text_defaults');\nvar handleFillColorDefaults = _dereq_('./fillcolor_defaults');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var len = handleXYDefaults(traceIn, traceOut, layout, coerce);\n    if(!len) traceOut.visible = false;\n\n    if(!traceOut.visible) return;\n\n    var stackGroupOpts = handleStackDefaults(traceIn, traceOut, layout, coerce);\n\n    var defaultMode = !stackGroupOpts && (len < constants.PTS_LINESONLY) ?\n        'lines+markers' : 'lines';\n    coerce('text');\n    coerce('hovertext');\n    coerce('mode', defaultMode);\n\n    if(subTypes.hasLines(traceOut)) {\n        handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n        handleLineShapeDefaults(traceIn, traceOut, coerce);\n        coerce('connectgaps');\n        coerce('line.simplify');\n    }\n\n    if(subTypes.hasMarkers(traceOut)) {\n        handleMarkerDefaults(traceIn, traceOut, defaultColor, layout, coerce, {gradient: true});\n    }\n\n    if(subTypes.hasText(traceOut)) {\n        handleTextDefaults(traceIn, traceOut, layout, coerce);\n    }\n\n    var dfltHoverOn = [];\n\n    if(subTypes.hasMarkers(traceOut) || subTypes.hasText(traceOut)) {\n        coerce('cliponaxis');\n        coerce('marker.maxdisplayed');\n        dfltHoverOn.push('points');\n    }\n\n    // It's possible for this default to be changed by a later trace.\n    // We handle that case in some hacky code inside handleStackDefaults.\n    coerce('fill', stackGroupOpts ? stackGroupOpts.fillDflt : 'none');\n    if(traceOut.fill !== 'none') {\n        handleFillColorDefaults(traceIn, traceOut, defaultColor, coerce);\n        if(!subTypes.hasLines(traceOut)) handleLineShapeDefaults(traceIn, traceOut, coerce);\n    }\n\n    if(traceOut.fill === 'tonext' || traceOut.fill === 'toself') {\n        dfltHoverOn.push('fills');\n    }\n    coerce('hoveron', dfltHoverOn.join('+') || 'points');\n\n    var errorBarsSupplyDefaults = Registry.getComponentMethod('errorbars', 'supplyDefaults');\n    errorBarsSupplyDefaults(traceIn, traceOut, defaultColor, {axis: 'y'});\n    errorBarsSupplyDefaults(traceIn, traceOut, defaultColor, {axis: 'x', inherit: 'y'});\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\n},{\"../../lib\":696,\"../../registry\":828,\"./attributes\":1044,\"./constants\":1048,\"./fillcolor_defaults\":1053,\"./line_defaults\":1057,\"./line_shape_defaults\":1059,\"./marker_defaults\":1063,\"./stack_defaults\":1066,\"./subtypes\":1068,\"./text_defaults\":1069,\"./xy_defaults\":1070}],1052:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\n/** Fill hover 'pointData' container with 'correct' hover text value\n *\n * - If trace hoverinfo contains a 'text' flag and hovertext is not set,\n *   the text elements will be seen in the hover labels.\n *\n * - If trace hoverinfo contains a 'text' flag and hovertext is set,\n *   hovertext takes precedence over text\n *   i.e. the hoverinfo elements will be seen in the hover labels\n *\n *  @param {object} calcPt\n *  @param {object} trace\n *  @param {object || array} contOut (mutated here)\n */\nmodule.exports = function fillHoverText(calcPt, trace, contOut) {\n    var fill = Array.isArray(contOut) ?\n        function(v) { contOut.push(v); } :\n        function(v) { contOut.text = v; };\n\n    var htx = Lib.extractOption(calcPt, trace, 'htx', 'hovertext');\n    if(isValid(htx)) return fill(htx);\n\n    var tx = Lib.extractOption(calcPt, trace, 'tx', 'text');\n    if(isValid(tx)) return fill(tx);\n};\n\n// accept all truthy values and 0 (which gets cast to '0' in the hover labels)\nfunction isValid(v) {\n    return v || v === 0;\n}\n\n},{\"../../lib\":696}],1053:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Color = _dereq_('../../components/color');\nvar isArrayOrTypedArray = _dereq_('../../lib').isArrayOrTypedArray;\n\nmodule.exports = function fillColorDefaults(traceIn, traceOut, defaultColor, coerce) {\n    var inheritColorFromMarker = false;\n\n    if(traceOut.marker) {\n        // don't try to inherit a color array\n        var markerColor = traceOut.marker.color,\n            markerLineColor = (traceOut.marker.line || {}).color;\n\n        if(markerColor && !isArrayOrTypedArray(markerColor)) {\n            inheritColorFromMarker = markerColor;\n        }\n        else if(markerLineColor && !isArrayOrTypedArray(markerLineColor)) {\n            inheritColorFromMarker = markerLineColor;\n        }\n    }\n\n    coerce('fillcolor', Color.addOpacity(\n        (traceOut.line || {}).color ||\n        inheritColorFromMarker ||\n        defaultColor, 0.5\n    ));\n};\n\n},{\"../../components/color\":570,\"../../lib\":696}],1054:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Color = _dereq_('../../components/color');\nvar subtypes = _dereq_('./subtypes');\n\n\nmodule.exports = function getTraceColor(trace, di) {\n    var lc, tc;\n\n    // TODO: text modes\n\n    if(trace.mode === 'lines') {\n        lc = trace.line.color;\n        return (lc && Color.opacity(lc)) ?\n            lc : trace.fillcolor;\n    }\n    else if(trace.mode === 'none') {\n        return trace.fill ? trace.fillcolor : '';\n    }\n    else {\n        var mc = di.mcc || (trace.marker || {}).color,\n            mlc = di.mlcc || ((trace.marker || {}).line || {}).color;\n\n        tc = (mc && Color.opacity(mc)) ? mc :\n            (mlc && Color.opacity(mlc) &&\n                (di.mlw || ((trace.marker || {}).line || {}).width)) ? mlc : '';\n\n        if(tc) {\n            // make sure the points aren't TOO transparent\n            if(Color.opacity(tc) < 0.3) {\n                return Color.addOpacity(tc, 0.3);\n            }\n            else return tc;\n        }\n        else {\n            lc = (trace.line || {}).color;\n            return (lc && Color.opacity(lc) &&\n                subtypes.hasLines(trace) && trace.line.width) ?\n                    lc : trace.fillcolor;\n        }\n    }\n};\n\n},{\"../../components/color\":570,\"./subtypes\":1068}],1055:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Fx = _dereq_('../../components/fx');\nvar Registry = _dereq_('../../registry');\nvar getTraceColor = _dereq_('./get_trace_color');\nvar Color = _dereq_('../../components/color');\nvar fillHoverText = _dereq_('./fill_hover_text');\n\nmodule.exports = function hoverPoints(pointData, xval, yval, hovermode) {\n    var cd = pointData.cd;\n    var trace = cd[0].trace;\n    var xa = pointData.xa;\n    var ya = pointData.ya;\n    var xpx = xa.c2p(xval);\n    var ypx = ya.c2p(yval);\n    var pt = [xpx, ypx];\n    var hoveron = trace.hoveron || '';\n    var minRad = (trace.mode.indexOf('markers') !== -1) ? 3 : 0.5;\n\n    // look for points to hover on first, then take fills only if we\n    // didn't find a point\n    if(hoveron.indexOf('points') !== -1) {\n        var dx = function(di) {\n            // dx and dy are used in compare modes - here we want to always\n            // prioritize the closest data point, at least as long as markers are\n            // the same size or nonexistent, but still try to prioritize small markers too.\n            var rad = Math.max(3, di.mrc || 0);\n            var kink = 1 - 1 / rad;\n            var dxRaw = Math.abs(xa.c2p(di.x) - xpx);\n            var d = (dxRaw < rad) ? (kink * dxRaw / rad) : (dxRaw - rad + kink);\n            return d;\n        };\n        var dy = function(di) {\n            var rad = Math.max(3, di.mrc || 0);\n            var kink = 1 - 1 / rad;\n            var dyRaw = Math.abs(ya.c2p(di.y) - ypx);\n            return (dyRaw < rad) ? (kink * dyRaw / rad) : (dyRaw - rad + kink);\n        };\n        var dxy = function(di) {\n            // scatter points: d.mrc is the calculated marker radius\n            // adjust the distance so if you're inside the marker it\n            // always will show up regardless of point size, but\n            // prioritize smaller points\n            var rad = Math.max(minRad, di.mrc || 0);\n            var dx = xa.c2p(di.x) - xpx;\n            var dy = ya.c2p(di.y) - ypx;\n            return Math.max(Math.sqrt(dx * dx + dy * dy) - rad, 1 - minRad / rad);\n        };\n        var distfn = Fx.getDistanceFunction(hovermode, dx, dy, dxy);\n\n        Fx.getClosest(cd, distfn, pointData);\n\n        // skip the rest (for this trace) if we didn't find a close point\n        if(pointData.index !== false) {\n\n            // the closest data point\n            var di = cd[pointData.index];\n            var xc = xa.c2p(di.x, true);\n            var yc = ya.c2p(di.y, true);\n            var rad = di.mrc || 1;\n\n            // now we're done using the whole `calcdata` array, replace the\n            // index with the original index (in case of inserted point from\n            // stacked area)\n            pointData.index = di.i;\n\n            var orientation = cd[0].t.orientation;\n            // TODO: for scatter and bar, option to show (sub)totals and\n            // raw data? Currently stacked and/or normalized bars just show\n            // the normalized individual sizes, so that's what I'm doing here\n            // for now.\n            var sizeVal = orientation && (di.sNorm || di.s);\n            var xLabelVal = (orientation === 'h') ? sizeVal : di.x;\n            var yLabelVal = (orientation === 'v') ? sizeVal : di.y;\n\n            Lib.extendFlat(pointData, {\n                color: getTraceColor(trace, di),\n\n                x0: xc - rad,\n                x1: xc + rad,\n                xLabelVal: xLabelVal,\n\n                y0: yc - rad,\n                y1: yc + rad,\n                yLabelVal: yLabelVal,\n\n                spikeDistance: dxy(di)\n            });\n\n            fillHoverText(di, trace, pointData);\n            Registry.getComponentMethod('errorbars', 'hoverInfo')(di, trace, pointData);\n\n            return [pointData];\n        }\n    }\n\n    // even if hoveron is 'fills', only use it if we have polygons too\n    if(hoveron.indexOf('fills') !== -1 && trace._polygons) {\n        var polygons = trace._polygons;\n        var polygonsIn = [];\n        var inside = false;\n        var xmin = Infinity;\n        var xmax = -Infinity;\n        var ymin = Infinity;\n        var ymax = -Infinity;\n\n        var i, j, polygon, pts, xCross, x0, x1, y0, y1;\n\n        for(i = 0; i < polygons.length; i++) {\n            polygon = polygons[i];\n            // TODO: this is not going to work right for curved edges, it will\n            // act as though they're straight. That's probably going to need\n            // the elements themselves to capture the events. Worth it?\n            if(polygon.contains(pt)) {\n                inside = !inside;\n                // TODO: need better than just the overall bounding box\n                polygonsIn.push(polygon);\n                ymin = Math.min(ymin, polygon.ymin);\n                ymax = Math.max(ymax, polygon.ymax);\n            }\n        }\n\n        if(inside) {\n            // constrain ymin/max to the visible plot, so the label goes\n            // at the middle of the piece you can see\n            ymin = Math.max(ymin, 0);\n            ymax = Math.min(ymax, ya._length);\n\n            // find the overall left-most and right-most points of the\n            // polygon(s) we're inside at their combined vertical midpoint.\n            // This is where we will draw the hover label.\n            // Note that this might not be the vertical midpoint of the\n            // whole trace, if it's disjoint.\n            var yAvg = (ymin + ymax) / 2;\n            for(i = 0; i < polygonsIn.length; i++) {\n                pts = polygonsIn[i].pts;\n                for(j = 1; j < pts.length; j++) {\n                    y0 = pts[j - 1][1];\n                    y1 = pts[j][1];\n                    if((y0 > yAvg) !== (y1 >= yAvg)) {\n                        x0 = pts[j - 1][0];\n                        x1 = pts[j][0];\n                        if(y1 - y0) {\n                            xCross = x0 + (x1 - x0) * (yAvg - y0) / (y1 - y0);\n                            xmin = Math.min(xmin, xCross);\n                            xmax = Math.max(xmax, xCross);\n                        }\n                    }\n                }\n            }\n\n            // constrain xmin/max to the visible plot now too\n            xmin = Math.max(xmin, 0);\n            xmax = Math.min(xmax, xa._length);\n\n            // get only fill or line color for the hover color\n            var color = Color.defaultLine;\n            if(Color.opacity(trace.fillcolor)) color = trace.fillcolor;\n            else if(Color.opacity((trace.line || {}).color)) {\n                color = trace.line.color;\n            }\n\n            Lib.extendFlat(pointData, {\n                // never let a 2D override 1D type as closest point\n                // also: no spikeDistance, it's not allowed for fills\n                distance: pointData.maxHoverDistance,\n                x0: xmin,\n                x1: xmax,\n                y0: yAvg,\n                y1: yAvg,\n                color: color\n            });\n\n            delete pointData.index;\n\n            if(trace.text && !Array.isArray(trace.text)) {\n                pointData.text = String(trace.text);\n            }\n            else pointData.text = trace.name;\n\n            return [pointData];\n        }\n    }\n};\n\n},{\"../../components/color\":570,\"../../components/fx\":612,\"../../lib\":696,\"../../registry\":828,\"./fill_hover_text\":1052,\"./get_trace_color\":1054}],1056:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Scatter = {};\n\nvar subtypes = _dereq_('./subtypes');\nScatter.hasLines = subtypes.hasLines;\nScatter.hasMarkers = subtypes.hasMarkers;\nScatter.hasText = subtypes.hasText;\nScatter.isBubble = subtypes.isBubble;\n\nScatter.attributes = _dereq_('./attributes');\nScatter.supplyDefaults = _dereq_('./defaults');\nScatter.crossTraceDefaults = _dereq_('./cross_trace_defaults');\nScatter.calc = _dereq_('./calc').calc;\nScatter.crossTraceCalc = _dereq_('./cross_trace_calc');\nScatter.arraysToCalcdata = _dereq_('./arrays_to_calcdata');\nScatter.plot = _dereq_('./plot');\nScatter.colorbar = _dereq_('./marker_colorbar');\nScatter.style = _dereq_('./style').style;\nScatter.styleOnSelect = _dereq_('./style').styleOnSelect;\nScatter.hoverPoints = _dereq_('./hover');\nScatter.selectPoints = _dereq_('./select');\nScatter.animatable = true;\n\nScatter.moduleType = 'trace';\nScatter.name = 'scatter';\nScatter.basePlotModule = _dereq_('../../plots/cartesian');\nScatter.categories = [\n    'cartesian', 'svg', 'symbols', 'errorBarsOK', 'showLegend', 'scatter-like',\n    'zoomScale'\n];\nScatter.meta = {\n    \n};\n\nmodule.exports = Scatter;\n\n},{\"../../plots/cartesian\":757,\"./arrays_to_calcdata\":1043,\"./attributes\":1044,\"./calc\":1045,\"./cross_trace_calc\":1049,\"./cross_trace_defaults\":1050,\"./defaults\":1051,\"./hover\":1055,\"./marker_colorbar\":1062,\"./plot\":1064,\"./select\":1065,\"./style\":1067,\"./subtypes\":1068}],1057:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isArrayOrTypedArray = _dereq_('../../lib').isArrayOrTypedArray;\nvar hasColorscale = _dereq_('../../components/colorscale/has_colorscale');\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\n\nmodule.exports = function lineDefaults(traceIn, traceOut, defaultColor, layout, coerce, opts) {\n    var markerColor = (traceIn.marker || {}).color;\n\n    coerce('line.color', defaultColor);\n\n    if(hasColorscale(traceIn, 'line')) {\n        colorscaleDefaults(traceIn, traceOut, layout, coerce, {prefix: 'line.', cLetter: 'c', noScale: true});\n    } else {\n        var lineColorDflt = (isArrayOrTypedArray(markerColor) ? false : markerColor) || defaultColor;\n        coerce('line.color', lineColorDflt);\n    }\n\n    coerce('line.width');\n    if(!(opts || {}).noDash) coerce('line.dash');\n};\n\n},{\"../../components/colorscale/defaults\":580,\"../../components/colorscale/has_colorscale\":584,\"../../lib\":696}],1058:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar numConstants = _dereq_('../../constants/numerical');\nvar BADNUM = numConstants.BADNUM;\nvar LOG_CLIP = numConstants.LOG_CLIP;\nvar LOG_CLIP_PLUS = LOG_CLIP + 0.5;\nvar LOG_CLIP_MINUS = LOG_CLIP - 0.5;\nvar Lib = _dereq_('../../lib');\nvar segmentsIntersect = Lib.segmentsIntersect;\nvar constrain = Lib.constrain;\nvar constants = _dereq_('./constants');\n\n\nmodule.exports = function linePoints(d, opts) {\n    var xa = opts.xaxis;\n    var ya = opts.yaxis;\n    var xLog = xa.type === 'log';\n    var yLog = ya.type === 'log';\n    var xLen = xa._length;\n    var yLen = ya._length;\n    var connectGaps = opts.connectGaps;\n    var baseTolerance = opts.baseTolerance;\n    var shape = opts.shape;\n    var linear = shape === 'linear';\n    var segments = [];\n    var minTolerance = constants.minTolerance;\n    var pts = new Array(d.length);\n    var pti = 0;\n\n    var i;\n\n    // pt variables are pixel coordinates [x,y] of one point\n    // these four are the outputs of clustering on a line\n    var clusterStartPt, clusterEndPt, clusterHighPt, clusterLowPt;\n\n    // \"this\" is the next point we're considering adding to the cluster\n    var thisPt;\n\n    // did we encounter the high point first, then a low point, or vice versa?\n    var clusterHighFirst;\n\n    // the first two points in the cluster determine its unit vector\n    // so the second is always in the \"High\" direction\n    var clusterUnitVector;\n\n    // the pixel delta from clusterStartPt\n    var thisVector;\n\n    // val variables are (signed) pixel distances along the cluster vector\n    var clusterRefDist, clusterHighVal, clusterLowVal, thisVal;\n\n    // deviation variables are (signed) pixel distances normal to the cluster vector\n    var clusterMinDeviation, clusterMaxDeviation, thisDeviation;\n\n    // turn one calcdata point into pixel coordinates\n    function getPt(index) {\n        var di = d[index];\n        if(!di) return false;\n        var x = xa.c2p(di.x);\n        var y = ya.c2p(di.y);\n\n        // if non-positive log values, set them VERY far off-screen\n        // so the line looks essentially straight from the previous point.\n        if(x === BADNUM) {\n            if(xLog) x = xa.c2p(di.x, true);\n            if(x === BADNUM) return false;\n            // If BOTH were bad log values, make the line follow a constant\n            // exponent rather than a constant slope\n            if(yLog && y === BADNUM) {\n                x *= Math.abs(xa._m * yLen * (xa._m > 0 ? LOG_CLIP_PLUS : LOG_CLIP_MINUS) /\n                    (ya._m * xLen * (ya._m > 0 ? LOG_CLIP_PLUS : LOG_CLIP_MINUS)));\n            }\n            x *= 1000;\n        }\n        if(y === BADNUM) {\n            if(yLog) y = ya.c2p(di.y, true);\n            if(y === BADNUM) return false;\n            y *= 1000;\n        }\n        return [x, y];\n    }\n\n    function crossesViewport(xFrac0, yFrac0, xFrac1, yFrac1) {\n        var dx = xFrac1 - xFrac0;\n        var dy = yFrac1 - yFrac0;\n        var dx0 = 0.5 - xFrac0;\n        var dy0 = 0.5 - yFrac0;\n        var norm2 = dx * dx + dy * dy;\n        var dot = dx * dx0 + dy * dy0;\n        if(dot > 0 && dot < norm2) {\n            var cross = dx0 * dy - dy0 * dx;\n            if(cross * cross < norm2) return true;\n        }\n    }\n\n    var latestXFrac, latestYFrac;\n    // if we're off-screen, increase tolerance over baseTolerance\n    function getTolerance(pt, nextPt) {\n        var xFrac = pt[0] / xLen;\n        var yFrac = pt[1] / yLen;\n        var offScreenFraction = Math.max(0, -xFrac, xFrac - 1, -yFrac, yFrac - 1);\n        if(offScreenFraction && (latestXFrac !== undefined) &&\n            crossesViewport(xFrac, yFrac, latestXFrac, latestYFrac)\n        ) {\n            offScreenFraction = 0;\n        }\n        if(offScreenFraction && nextPt &&\n            crossesViewport(xFrac, yFrac, nextPt[0] / xLen, nextPt[1] / yLen)\n        ) {\n            offScreenFraction = 0;\n        }\n\n        return (1 + constants.toleranceGrowth * offScreenFraction) * baseTolerance;\n    }\n\n    function ptDist(pt1, pt2) {\n        var dx = pt1[0] - pt2[0];\n        var dy = pt1[1] - pt2[1];\n        return Math.sqrt(dx * dx + dy * dy);\n    }\n\n    // last bit of filtering: clip paths that are VERY far off-screen\n    // so we don't get near the browser's hard limit (+/- 2^29 px in Chrome and FF)\n\n    var maxScreensAway = constants.maxScreensAway;\n\n    // find the intersections between the segment from pt1 to pt2\n    // and the large rectangle maxScreensAway around the viewport\n    // if one of pt1 and pt2 is inside and the other outside, there\n    // will be only one intersection.\n    // if both are outside there will be 0 or 2 intersections\n    // (or 1 if it's right at a corner - we'll treat that like 0)\n    // returns an array of intersection pts\n    var xEdge0 = -xLen * maxScreensAway;\n    var xEdge1 = xLen * (1 + maxScreensAway);\n    var yEdge0 = -yLen * maxScreensAway;\n    var yEdge1 = yLen * (1 + maxScreensAway);\n    var edges = [\n        [xEdge0, yEdge0, xEdge1, yEdge0],\n        [xEdge1, yEdge0, xEdge1, yEdge1],\n        [xEdge1, yEdge1, xEdge0, yEdge1],\n        [xEdge0, yEdge1, xEdge0, yEdge0]\n    ];\n    var xEdge, yEdge, lastXEdge, lastYEdge, lastFarPt, edgePt;\n\n    // for linear line shape, edge intersections should be linearly interpolated\n    // spline uses this too, which isn't precisely correct but is actually pretty\n    // good, because Catmull-Rom weights far-away points less in creating the curvature\n    function getLinearEdgeIntersections(pt1, pt2) {\n        var out = [];\n        var ptCount = 0;\n        for(var i = 0; i < 4; i++) {\n            var edge = edges[i];\n            var ptInt = segmentsIntersect(pt1[0], pt1[1], pt2[0], pt2[1],\n                edge[0], edge[1], edge[2], edge[3]);\n            if(ptInt && (!ptCount ||\n                Math.abs(ptInt.x - out[0][0]) > 1 ||\n                Math.abs(ptInt.y - out[0][1]) > 1\n            )) {\n                ptInt = [ptInt.x, ptInt.y];\n                // if we have 2 intersections, make sure the closest one to pt1 comes first\n                if(ptCount && ptDist(ptInt, pt1) < ptDist(out[0], pt1)) out.unshift(ptInt);\n                else out.push(ptInt);\n                ptCount++;\n            }\n        }\n        return out;\n    }\n\n    function onlyConstrainedPoint(pt) {\n        if(pt[0] < xEdge0 || pt[0] > xEdge1 || pt[1] < yEdge0 || pt[1] > yEdge1) {\n            return [constrain(pt[0], xEdge0, xEdge1), constrain(pt[1], yEdge0, yEdge1)];\n        }\n    }\n\n    function sameEdge(pt1, pt2) {\n        if(pt1[0] === pt2[0] && (pt1[0] === xEdge0 || pt1[0] === xEdge1)) return true;\n        if(pt1[1] === pt2[1] && (pt1[1] === yEdge0 || pt1[1] === yEdge1)) return true;\n    }\n\n    // for line shapes hv and vh, movement in the two dimensions is decoupled,\n    // so all we need to do is constrain each dimension independently\n    function getHVEdgeIntersections(pt1, pt2) {\n        var out = [];\n        var ptInt1 = onlyConstrainedPoint(pt1);\n        var ptInt2 = onlyConstrainedPoint(pt2);\n        if(ptInt1 && ptInt2 && sameEdge(ptInt1, ptInt2)) return out;\n\n        if(ptInt1) out.push(ptInt1);\n        if(ptInt2) out.push(ptInt2);\n        return out;\n    }\n\n    // hvh and vhv we sometimes have to move one of the intersection points\n    // out BEYOND the clipping rect, by a maximum of a factor of 2, so that\n    // the midpoint line is drawn in the right place\n    function getABAEdgeIntersections(dim, limit0, limit1) {\n        return function(pt1, pt2) {\n            var ptInt1 = onlyConstrainedPoint(pt1);\n            var ptInt2 = onlyConstrainedPoint(pt2);\n\n            var out = [];\n            if(ptInt1 && ptInt2 && sameEdge(ptInt1, ptInt2)) return out;\n\n            if(ptInt1) out.push(ptInt1);\n            if(ptInt2) out.push(ptInt2);\n\n            var midShift = 2 * Lib.constrain((pt1[dim] + pt2[dim]) / 2, limit0, limit1) -\n                ((ptInt1 || pt1)[dim] + (ptInt2 || pt2)[dim]);\n            if(midShift) {\n                var ptToAlter;\n                if(ptInt1 && ptInt2) {\n                    ptToAlter = (midShift > 0 === ptInt1[dim] > ptInt2[dim]) ? ptInt1 : ptInt2;\n                }\n                else ptToAlter = ptInt1 || ptInt2;\n\n                ptToAlter[dim] += midShift;\n            }\n\n            return out;\n        };\n    }\n\n    var getEdgeIntersections;\n    if(shape === 'linear' || shape === 'spline') {\n        getEdgeIntersections = getLinearEdgeIntersections;\n    }\n    else if(shape === 'hv' || shape === 'vh') {\n        getEdgeIntersections = getHVEdgeIntersections;\n    }\n    else if(shape === 'hvh') getEdgeIntersections = getABAEdgeIntersections(0, xEdge0, xEdge1);\n    else if(shape === 'vhv') getEdgeIntersections = getABAEdgeIntersections(1, yEdge0, yEdge1);\n\n    // a segment pt1->pt2 entirely outside the nearby region:\n    // find the corner it gets closest to touching\n    function getClosestCorner(pt1, pt2) {\n        var dx = pt2[0] - pt1[0];\n        var m = (pt2[1] - pt1[1]) / dx;\n        var b = (pt1[1] * pt2[0] - pt2[1] * pt1[0]) / dx;\n\n        if(b > 0) return [m > 0 ? xEdge0 : xEdge1, yEdge1];\n        else return [m > 0 ? xEdge1 : xEdge0, yEdge0];\n    }\n\n    function updateEdge(pt) {\n        var x = pt[0];\n        var y = pt[1];\n        var xSame = x === pts[pti - 1][0];\n        var ySame = y === pts[pti - 1][1];\n        // duplicate point?\n        if(xSame && ySame) return;\n        if(pti > 1) {\n            // backtracking along an edge?\n            var xSame2 = x === pts[pti - 2][0];\n            var ySame2 = y === pts[pti - 2][1];\n            if(xSame && (x === xEdge0 || x === xEdge1) && xSame2) {\n                if(ySame2) pti--; // backtracking exactly - drop prev pt and don't add\n                else pts[pti - 1] = pt; // not exact: replace the prev pt\n            }\n            else if(ySame && (y === yEdge0 || y === yEdge1) && ySame2) {\n                if(xSame2) pti--;\n                else pts[pti - 1] = pt;\n            }\n            else pts[pti++] = pt;\n        }\n        else pts[pti++] = pt;\n    }\n\n    function updateEdgesForReentry(pt) {\n        // if we're outside the nearby region and going back in,\n        // we may need to loop around a corner point\n        if(pts[pti - 1][0] !== pt[0] && pts[pti - 1][1] !== pt[1]) {\n            updateEdge([lastXEdge, lastYEdge]);\n        }\n        updateEdge(pt);\n        lastFarPt = null;\n        lastXEdge = lastYEdge = 0;\n    }\n\n    function addPt(pt) {\n        latestXFrac = pt[0] / xLen;\n        latestYFrac = pt[1] / yLen;\n        // Are we more than maxScreensAway off-screen any direction?\n        // if so, clip to this box, but in such a way that on-screen\n        // drawing is unchanged\n        xEdge = (pt[0] < xEdge0) ? xEdge0 : (pt[0] > xEdge1) ? xEdge1 : 0;\n        yEdge = (pt[1] < yEdge0) ? yEdge0 : (pt[1] > yEdge1) ? yEdge1 : 0;\n        if(xEdge || yEdge) {\n            // to get fills right - if first point is far, push it toward the\n            // screen in whichever direction(s) are far\n            if(!pti) {\n                pts[pti++] = [xEdge || pt[0], yEdge || pt[1]];\n            }\n            else if(lastFarPt) {\n                // both this point and the last are outside the nearby region\n                // check if we're crossing the nearby region\n                var intersections = getEdgeIntersections(lastFarPt, pt);\n                if(intersections.length > 1) {\n                    updateEdgesForReentry(intersections[0]);\n                    pts[pti++] = intersections[1];\n                }\n            }\n            // we're leaving the nearby region - add the point where we left it\n            else {\n                edgePt = getEdgeIntersections(pts[pti - 1], pt)[0];\n                pts[pti++] = edgePt;\n            }\n\n            var lastPt = pts[pti - 1];\n            if(xEdge && yEdge && (lastPt[0] !== xEdge || lastPt[1] !== yEdge)) {\n                // we've gone out beyond a new corner: add the corner too\n                // so that the next point will take the right winding\n                if(lastFarPt) {\n                    if(lastXEdge !== xEdge && lastYEdge !== yEdge) {\n                        if(lastXEdge && lastYEdge) {\n                            // we've gone around to an opposite corner - we\n                            // need to add the correct extra corner\n                            // in order to get the right winding\n                            updateEdge(getClosestCorner(lastFarPt, pt));\n                        }\n                        else {\n                            // we're coming from a far edge - the extra corner\n                            // we need is determined uniquely by the sectors\n                            updateEdge([lastXEdge || xEdge, lastYEdge || yEdge]);\n                        }\n                    }\n                    else if(lastXEdge && lastYEdge) {\n                        updateEdge([lastXEdge, lastYEdge]);\n                    }\n                }\n                updateEdge([xEdge, yEdge]);\n            }\n            else if((lastXEdge - xEdge) && (lastYEdge - yEdge)) {\n                // we're coming from an edge or far corner to an edge - again the\n                // extra corner we need is uniquely determined by the sectors\n                updateEdge([xEdge || lastXEdge, yEdge || lastYEdge]);\n            }\n            lastFarPt = pt;\n            lastXEdge = xEdge;\n            lastYEdge = yEdge;\n        }\n        else {\n            if(lastFarPt) {\n                // this point is in range but the previous wasn't: add its entry pt first\n                updateEdgesForReentry(getEdgeIntersections(lastFarPt, pt)[0]);\n            }\n\n            pts[pti++] = pt;\n        }\n    }\n\n    // loop over ALL points in this trace\n    for(i = 0; i < d.length; i++) {\n        clusterStartPt = getPt(i);\n        if(!clusterStartPt) continue;\n\n        pti = 0;\n        lastFarPt = null;\n        addPt(clusterStartPt);\n\n        // loop over one segment of the trace\n        for(i++; i < d.length; i++) {\n            clusterHighPt = getPt(i);\n            if(!clusterHighPt) {\n                if(connectGaps) continue;\n                else break;\n            }\n\n            // can't decimate if nonlinear line shape\n            // TODO: we *could* decimate [hv]{2,3} shapes if we restricted clusters to horz or vert again\n            // but spline would be verrry awkward to decimate\n            if(!linear || !opts.simplify) {\n                addPt(clusterHighPt);\n                continue;\n            }\n\n            var nextPt = getPt(i + 1);\n\n            clusterRefDist = ptDist(clusterHighPt, clusterStartPt);\n\n            if(clusterRefDist < getTolerance(clusterHighPt, nextPt) * minTolerance) continue;\n\n            clusterUnitVector = [\n                (clusterHighPt[0] - clusterStartPt[0]) / clusterRefDist,\n                (clusterHighPt[1] - clusterStartPt[1]) / clusterRefDist\n            ];\n\n            clusterLowPt = clusterStartPt;\n            clusterHighVal = clusterRefDist;\n            clusterLowVal = clusterMinDeviation = clusterMaxDeviation = 0;\n            clusterHighFirst = false;\n            clusterEndPt = clusterHighPt;\n\n            // loop over one cluster of points that collapse onto one line\n            for(i++; i < d.length; i++) {\n                thisPt = nextPt;\n                nextPt = getPt(i + 1);\n                if(!thisPt) {\n                    if(connectGaps) continue;\n                    else break;\n                }\n                thisVector = [\n                    thisPt[0] - clusterStartPt[0],\n                    thisPt[1] - clusterStartPt[1]\n                ];\n                // cross product (or dot with normal to the cluster vector)\n                thisDeviation = thisVector[0] * clusterUnitVector[1] - thisVector[1] * clusterUnitVector[0];\n                clusterMinDeviation = Math.min(clusterMinDeviation, thisDeviation);\n                clusterMaxDeviation = Math.max(clusterMaxDeviation, thisDeviation);\n\n                if(clusterMaxDeviation - clusterMinDeviation > getTolerance(thisPt, nextPt)) break;\n\n                clusterEndPt = thisPt;\n                thisVal = thisVector[0] * clusterUnitVector[0] + thisVector[1] * clusterUnitVector[1];\n\n                if(thisVal > clusterHighVal) {\n                    clusterHighVal = thisVal;\n                    clusterHighPt = thisPt;\n                    clusterHighFirst = false;\n                } else if(thisVal < clusterLowVal) {\n                    clusterLowVal = thisVal;\n                    clusterLowPt = thisPt;\n                    clusterHighFirst = true;\n                }\n            }\n\n            // insert this cluster into pts\n            // we've already inserted the start pt, now check if we have high and low pts\n            if(clusterHighFirst) {\n                addPt(clusterHighPt);\n                if(clusterEndPt !== clusterLowPt) addPt(clusterLowPt);\n            } else {\n                if(clusterLowPt !== clusterStartPt) addPt(clusterLowPt);\n                if(clusterEndPt !== clusterHighPt) addPt(clusterHighPt);\n            }\n            // and finally insert the end pt\n            addPt(clusterEndPt);\n\n            // have we reached the end of this segment?\n            if(i >= d.length || !thisPt) break;\n\n            // otherwise we have an out-of-cluster point to insert as next clusterStartPt\n            addPt(thisPt);\n            clusterStartPt = thisPt;\n        }\n\n        // to get fills right - repeat what we did at the start\n        if(lastFarPt) updateEdge([lastXEdge || lastFarPt[0], lastYEdge || lastFarPt[1]]);\n\n        segments.push(pts.slice(0, pti));\n    }\n\n    return segments;\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"./constants\":1048}],1059:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\n// common to 'scatter' and 'scatterternary'\nmodule.exports = function handleLineShapeDefaults(traceIn, traceOut, coerce) {\n    var shape = coerce('line.shape');\n    if(shape === 'spline') coerce('line.smoothing');\n};\n\n},{}],1060:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar LINKEDFILLS = {tonextx: 1, tonexty: 1, tonext: 1};\n\nmodule.exports = function linkTraces(gd, plotinfo, cdscatter) {\n    var trace, i, group, prevtrace, groupIndex;\n\n    // first sort traces to keep stacks & filled-together groups together\n    var groupIndices = {};\n    var needsSort = false;\n    var prevGroupIndex = -1;\n    var nextGroupIndex = 0;\n    var prevUnstackedGroupIndex = -1;\n    for(i = 0; i < cdscatter.length; i++) {\n        trace = cdscatter[i][0].trace;\n        group = trace.stackgroup || '';\n        if(group) {\n            if(group in groupIndices) {\n                groupIndex = groupIndices[group];\n            }\n            else {\n                groupIndex = groupIndices[group] = nextGroupIndex;\n                nextGroupIndex++;\n            }\n        }\n        else if(trace.fill in LINKEDFILLS && prevUnstackedGroupIndex >= 0) {\n            groupIndex = prevUnstackedGroupIndex;\n        }\n        else {\n            groupIndex = prevUnstackedGroupIndex = nextGroupIndex;\n            nextGroupIndex++;\n        }\n\n        if(groupIndex < prevGroupIndex) needsSort = true;\n        trace._groupIndex = prevGroupIndex = groupIndex;\n    }\n\n    var cdscatterSorted = cdscatter.slice();\n    if(needsSort) {\n        cdscatterSorted.sort(function(a, b) {\n            var traceA = a[0].trace;\n            var traceB = b[0].trace;\n            return (traceA._groupIndex - traceB._groupIndex) ||\n                (traceA.index - traceB.index);\n        });\n    }\n\n    // now link traces to each other\n    var prevtraces = {};\n    for(i = 0; i < cdscatterSorted.length; i++) {\n        trace = cdscatterSorted[i][0].trace;\n        group = trace.stackgroup || '';\n\n        // Note: The check which ensures all cdscatter here are for the same axis and\n        // are either cartesian or scatterternary has been removed. This code assumes\n        // the passed scattertraces have been filtered to the proper plot types and\n        // the proper subplots.\n        if(trace.visible === true) {\n            trace._nexttrace = null;\n\n            if(trace.fill in LINKEDFILLS) {\n                prevtrace = prevtraces[group];\n                trace._prevtrace = prevtrace || null;\n\n                if(prevtrace) {\n                    prevtrace._nexttrace = trace;\n                }\n            }\n\n            trace._ownfill = (trace.fill && (\n                trace.fill.substr(0, 6) === 'tozero' ||\n                trace.fill === 'toself' ||\n                (trace.fill.substr(0, 2) === 'to' && !trace._prevtrace)\n            ));\n\n            prevtraces[group] = trace;\n        } else {\n            trace._prevtrace = trace._nexttrace = trace._ownfill = null;\n        }\n    }\n\n    return cdscatterSorted;\n};\n\n},{}],1061:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\n\n// used in the drawing step for 'scatter' and 'scattegeo' and\n// in the convert step for 'scatter3d'\nmodule.exports = function makeBubbleSizeFn(trace) {\n    var marker = trace.marker,\n        sizeRef = marker.sizeref || 1,\n        sizeMin = marker.sizemin || 0;\n\n    // for bubble charts, allow scaling the provided value linearly\n    // and by area or diameter.\n    // Note this only applies to the array-value sizes\n\n    var baseFn = (marker.sizemode === 'area') ?\n            function(v) { return Math.sqrt(v / sizeRef); } :\n            function(v) { return v / sizeRef; };\n\n    // TODO add support for position/negative bubbles?\n    // TODO add 'sizeoffset' attribute?\n    return function(v) {\n        var baseSize = baseFn(v / 2);\n\n        // don't show non-numeric and negative sizes\n        return (isNumeric(baseSize) && (baseSize > 0)) ?\n            Math.max(baseSize, sizeMin) :\n            0;\n    };\n};\n\n},{\"fast-isnumeric\":214}],1062:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nmodule.exports = {\n    container: 'marker',\n    min: 'cmin',\n    max: 'cmax'\n};\n\n},{}],1063:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Color = _dereq_('../../components/color');\nvar hasColorscale = _dereq_('../../components/colorscale/has_colorscale');\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\n\nvar subTypes = _dereq_('./subtypes');\n\n/*\n * opts: object of flags to control features not all marker users support\n *   noLine: caller does not support marker lines\n *   gradient: caller supports gradients\n *   noSelect: caller does not support selected/unselected attribute containers\n */\nmodule.exports = function markerDefaults(traceIn, traceOut, defaultColor, layout, coerce, opts) {\n    var isBubble = subTypes.isBubble(traceIn),\n        lineColor = (traceIn.line || {}).color,\n        defaultMLC;\n\n    opts = opts || {};\n\n    // marker.color inherit from line.color (even if line.color is an array)\n    if(lineColor) defaultColor = lineColor;\n\n    coerce('marker.symbol');\n    coerce('marker.opacity', isBubble ? 0.7 : 1);\n    coerce('marker.size');\n\n    coerce('marker.color', defaultColor);\n    if(hasColorscale(traceIn, 'marker')) {\n        colorscaleDefaults(traceIn, traceOut, layout, coerce, {prefix: 'marker.', cLetter: 'c'});\n    }\n\n    if(!opts.noSelect) {\n        coerce('selected.marker.color');\n        coerce('unselected.marker.color');\n        coerce('selected.marker.size');\n        coerce('unselected.marker.size');\n    }\n\n    if(!opts.noLine) {\n        // if there's a line with a different color than the marker, use\n        // that line color as the default marker line color\n        // (except when it's an array)\n        // mostly this is for transparent markers to behave nicely\n        if(lineColor && !Array.isArray(lineColor) && (traceOut.marker.color !== lineColor)) {\n            defaultMLC = lineColor;\n        }\n        else if(isBubble) defaultMLC = Color.background;\n        else defaultMLC = Color.defaultLine;\n\n        coerce('marker.line.color', defaultMLC);\n        if(hasColorscale(traceIn, 'marker.line')) {\n            colorscaleDefaults(traceIn, traceOut, layout, coerce, {prefix: 'marker.line.', cLetter: 'c'});\n        }\n\n        coerce('marker.line.width', isBubble ? 1 : 0);\n    }\n\n    if(isBubble) {\n        coerce('marker.sizeref');\n        coerce('marker.sizemin');\n        coerce('marker.sizemode');\n    }\n\n    if(opts.gradient) {\n        var gradientType = coerce('marker.gradient.type');\n        if(gradientType !== 'none') {\n            coerce('marker.gradient.color');\n        }\n    }\n};\n\n},{\"../../components/color\":570,\"../../components/colorscale/defaults\":580,\"../../components/colorscale/has_colorscale\":584,\"./subtypes\":1068}],1064:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar ensureSingle = Lib.ensureSingle;\nvar identity = Lib.identity;\nvar Drawing = _dereq_('../../components/drawing');\n\nvar subTypes = _dereq_('./subtypes');\nvar linePoints = _dereq_('./line_points');\nvar linkTraces = _dereq_('./link_traces');\nvar polygonTester = _dereq_('../../lib/polygon').tester;\n\nmodule.exports = function plot(gd, plotinfo, cdscatter, scatterLayer, transitionOpts, makeOnCompleteCallback) {\n    var join, onComplete;\n\n    // If transition config is provided, then it is only a partial replot and traces not\n    // updated are removed.\n    var isFullReplot = !transitionOpts;\n    var hasTransition = !!transitionOpts && transitionOpts.duration > 0;\n\n    // Link traces so the z-order of fill layers is correct\n    var cdscatterSorted = linkTraces(gd, plotinfo, cdscatter);\n\n    join = scatterLayer.selectAll('g.trace')\n        .data(cdscatterSorted, function(d) { return d[0].trace.uid; });\n\n    // Append new traces:\n    join.enter().append('g')\n        .attr('class', function(d) {\n            return 'trace scatter trace' + d[0].trace.uid;\n        })\n        .style('stroke-miterlimit', 2);\n    join.order();\n\n    createFills(gd, join, plotinfo);\n\n    if(hasTransition) {\n        if(makeOnCompleteCallback) {\n            // If it was passed a callback to register completion, make a callback. If\n            // this is created, then it must be executed on completion, otherwise the\n            // pos-transition redraw will not execute:\n            onComplete = makeOnCompleteCallback();\n        }\n\n        var transition = d3.transition()\n            .duration(transitionOpts.duration)\n            .ease(transitionOpts.easing)\n            .each('end', function() {\n                onComplete && onComplete();\n            })\n            .each('interrupt', function() {\n                onComplete && onComplete();\n            });\n\n        transition.each(function() {\n            // Must run the selection again since otherwise enters/updates get grouped together\n            // and these get executed out of order. Except we need them in order!\n            scatterLayer.selectAll('g.trace').each(function(d, i) {\n                plotOne(gd, i, plotinfo, d, cdscatterSorted, this, transitionOpts);\n            });\n        });\n    } else {\n        join.each(function(d, i) {\n            plotOne(gd, i, plotinfo, d, cdscatterSorted, this, transitionOpts);\n        });\n    }\n\n    if(isFullReplot) {\n        join.exit().remove();\n    }\n\n    // remove paths that didn't get used\n    scatterLayer.selectAll('path:not([d])').remove();\n};\n\nfunction createFills(gd, traceJoin, plotinfo) {\n    traceJoin.each(function(d) {\n        var fills = ensureSingle(d3.select(this), 'g', 'fills');\n        Drawing.setClipUrl(fills, plotinfo.layerClipId);\n\n        var trace = d[0].trace;\n\n        var fillData = [];\n        if(trace._ownfill) fillData.push('_ownFill');\n        if(trace._nexttrace) fillData.push('_nextFill');\n\n        var fillJoin = fills.selectAll('g').data(fillData, identity);\n\n        fillJoin.enter().append('g');\n\n        fillJoin.exit()\n            .each(function(d) { trace[d] = null; })\n            .remove();\n\n        fillJoin.order().each(function(d) {\n            // make a path element inside the fill group, just so\n            // we can give it its own data later on and the group can\n            // keep its simple '_*Fill' data\n            trace[d] = ensureSingle(d3.select(this), 'path', 'js-fill');\n        });\n    });\n}\n\nfunction plotOne(gd, idx, plotinfo, cdscatter, cdscatterAll, element, transitionOpts) {\n    var i;\n\n    // Since this has been reorganized and we're executing this on individual traces,\n    // we need to pass it the full list of cdscatter as well as this trace's index (idx)\n    // since it does an internal n^2 loop over comparisons with other traces:\n    selectMarkers(gd, idx, plotinfo, cdscatter, cdscatterAll);\n\n    var hasTransition = !!transitionOpts && transitionOpts.duration > 0;\n\n    function transition(selection) {\n        return hasTransition ? selection.transition() : selection;\n    }\n\n    var xa = plotinfo.xaxis,\n        ya = plotinfo.yaxis;\n\n    var trace = cdscatter[0].trace;\n    var line = trace.line;\n    var tr = d3.select(element);\n\n    var errorBarGroup = ensureSingle(tr, 'g', 'errorbars');\n    var lines = ensureSingle(tr, 'g', 'lines');\n    var points = ensureSingle(tr, 'g', 'points');\n    var text = ensureSingle(tr, 'g', 'text');\n\n    // error bars are at the bottom\n    Registry.getComponentMethod('errorbars', 'plot')(errorBarGroup, plotinfo, transitionOpts);\n\n    if(trace.visible !== true) return;\n\n    transition(tr).style('opacity', trace.opacity);\n\n    // BUILD LINES AND FILLS\n    var ownFillEl3, tonext;\n    var ownFillDir = trace.fill.charAt(trace.fill.length - 1);\n    if(ownFillDir !== 'x' && ownFillDir !== 'y') ownFillDir = '';\n\n    // store node for tweaking by selectPoints\n    if(!plotinfo.isRangePlot) cdscatter[0].node3 = tr;\n\n    var prevRevpath = '';\n    var prevPolygons = [];\n    var prevtrace = trace._prevtrace;\n\n    if(prevtrace) {\n        prevRevpath = prevtrace._prevRevpath || '';\n        tonext = prevtrace._nextFill;\n        prevPolygons = prevtrace._polygons;\n    }\n\n    var thispath,\n        thisrevpath,\n        // fullpath is all paths for this curve, joined together straight\n        // across gaps, for filling\n        fullpath = '',\n        // revpath is fullpath reversed, for fill-to-next\n        revpath = '',\n        // functions for converting a point array to a path\n        pathfn, revpathbase, revpathfn,\n        // variables used before and after the data join\n        pt0, lastSegment, pt1, thisPolygons;\n\n    // initialize line join data / method\n    var segments = [],\n        makeUpdate = Lib.noop;\n\n    ownFillEl3 = trace._ownFill;\n\n    if(subTypes.hasLines(trace) || trace.fill !== 'none') {\n\n        if(tonext) {\n            // This tells .style which trace to use for fill information:\n            tonext.datum(cdscatter);\n        }\n\n        if(['hv', 'vh', 'hvh', 'vhv'].indexOf(line.shape) !== -1) {\n            pathfn = Drawing.steps(line.shape);\n            revpathbase = Drawing.steps(\n                line.shape.split('').reverse().join('')\n            );\n        }\n        else if(line.shape === 'spline') {\n            pathfn = revpathbase = function(pts) {\n                var pLast = pts[pts.length - 1];\n                if(pts.length > 1 && pts[0][0] === pLast[0] && pts[0][1] === pLast[1]) {\n                    // identical start and end points: treat it as a\n                    // closed curve so we don't get a kink\n                    return Drawing.smoothclosed(pts.slice(1), line.smoothing);\n                }\n                else {\n                    return Drawing.smoothopen(pts, line.smoothing);\n                }\n            };\n        }\n        else {\n            pathfn = revpathbase = function(pts) {\n                return 'M' + pts.join('L');\n            };\n        }\n\n        revpathfn = function(pts) {\n            // note: this is destructive (reverses pts in place) so can't use pts after this\n            return revpathbase(pts.reverse());\n        };\n\n        segments = linePoints(cdscatter, {\n            xaxis: xa,\n            yaxis: ya,\n            connectGaps: trace.connectgaps,\n            baseTolerance: Math.max(line.width || 1, 3) / 4,\n            shape: line.shape,\n            simplify: line.simplify\n        });\n\n        // since we already have the pixel segments here, use them to make\n        // polygons for hover on fill\n        // TODO: can we skip this if hoveron!=fills? That would mean we\n        // need to redraw when you change hoveron...\n        thisPolygons = trace._polygons = new Array(segments.length);\n        for(i = 0; i < segments.length; i++) {\n            trace._polygons[i] = polygonTester(segments[i]);\n        }\n\n        if(segments.length) {\n            pt0 = segments[0][0];\n            lastSegment = segments[segments.length - 1];\n            pt1 = lastSegment[lastSegment.length - 1];\n        }\n\n        makeUpdate = function(isEnter) {\n            return function(pts) {\n                thispath = pathfn(pts);\n                thisrevpath = revpathfn(pts);\n                if(!fullpath) {\n                    fullpath = thispath;\n                    revpath = thisrevpath;\n                }\n                else if(ownFillDir) {\n                    fullpath += 'L' + thispath.substr(1);\n                    revpath = thisrevpath + ('L' + revpath.substr(1));\n                }\n                else {\n                    fullpath += 'Z' + thispath;\n                    revpath = thisrevpath + 'Z' + revpath;\n                }\n\n                if(subTypes.hasLines(trace) && pts.length > 1) {\n                    var el = d3.select(this);\n\n                    // This makes the coloring work correctly:\n                    el.datum(cdscatter);\n\n                    if(isEnter) {\n                        transition(el.style('opacity', 0)\n                            .attr('d', thispath)\n                            .call(Drawing.lineGroupStyle))\n                                .style('opacity', 1);\n                    } else {\n                        var sel = transition(el);\n                        sel.attr('d', thispath);\n                        Drawing.singleLineStyle(cdscatter, sel);\n                    }\n                }\n            };\n        };\n    }\n\n    var lineJoin = lines.selectAll('.js-line').data(segments);\n\n    transition(lineJoin.exit())\n        .style('opacity', 0)\n        .remove();\n\n    lineJoin.each(makeUpdate(false));\n\n    lineJoin.enter().append('path')\n        .classed('js-line', true)\n        .style('vector-effect', 'non-scaling-stroke')\n        .call(Drawing.lineGroupStyle)\n        .each(makeUpdate(true));\n\n    Drawing.setClipUrl(lineJoin, plotinfo.layerClipId);\n\n    function clearFill(selection) {\n        transition(selection).attr('d', 'M0,0Z');\n    }\n\n    if(segments.length) {\n        if(ownFillEl3) {\n            ownFillEl3.datum(cdscatter);\n            if(pt0 && pt1) {\n                if(ownFillDir) {\n                    if(ownFillDir === 'y') {\n                        pt0[1] = pt1[1] = ya.c2p(0, true);\n                    }\n                    else if(ownFillDir === 'x') {\n                        pt0[0] = pt1[0] = xa.c2p(0, true);\n                    }\n\n                    // fill to zero: full trace path, plus extension of\n                    // the endpoints to the appropriate axis\n                    // For the sake of animations, wrap the points around so that\n                    // the points on the axes are the first two points. Otherwise\n                    // animations get a little crazy if the number of points changes.\n                    transition(ownFillEl3).attr('d', 'M' + pt1 + 'L' + pt0 + 'L' + fullpath.substr(1))\n                        .call(Drawing.singleFillStyle);\n                } else {\n                    // fill to self: just join the path to itself\n                    transition(ownFillEl3).attr('d', fullpath + 'Z')\n                        .call(Drawing.singleFillStyle);\n                }\n            }\n        }\n        else if(tonext) {\n            if(trace.fill.substr(0, 6) === 'tonext' && fullpath && prevRevpath) {\n                // fill to next: full trace path, plus the previous path reversed\n                if(trace.fill === 'tonext') {\n                    // tonext: for use by concentric shapes, like manually constructed\n                    // contours, we just add the two paths closed on themselves.\n                    // This makes strange results if one path is *not* entirely\n                    // inside the other, but then that is a strange usage.\n                    transition(tonext).attr('d', fullpath + 'Z' + prevRevpath + 'Z')\n                        .call(Drawing.singleFillStyle);\n                }\n                else {\n                    // tonextx/y: for now just connect endpoints with lines. This is\n                    // the correct behavior if the endpoints are at the same value of\n                    // y/x, but if they *aren't*, we should ideally do more complicated\n                    // things depending on whether the new endpoint projects onto the\n                    // existing curve or off the end of it\n                    transition(tonext).attr('d', fullpath + 'L' + prevRevpath.substr(1) + 'Z')\n                        .call(Drawing.singleFillStyle);\n                }\n                trace._polygons = trace._polygons.concat(prevPolygons);\n            }\n            else {\n                clearFill(tonext);\n                trace._polygons = null;\n            }\n        }\n        trace._prevRevpath = revpath;\n        trace._prevPolygons = thisPolygons;\n    }\n    else {\n        if(ownFillEl3) clearFill(ownFillEl3);\n        else if(tonext) clearFill(tonext);\n        trace._polygons = trace._prevRevpath = trace._prevPolygons = null;\n    }\n\n\n    function visFilter(d) {\n        return d.filter(function(v) { return !v.gap && v.vis; });\n    }\n\n    function visFilterWithGaps(d) {\n        return d.filter(function(v) { return v.vis; });\n    }\n\n    function gapFilter(d) {\n        return d.filter(function(v) { return !v.gap; });\n    }\n\n    function keyFunc(d) {\n        return d.id;\n    }\n\n    // Returns a function if the trace is keyed, otherwise returns undefined\n    function getKeyFunc(trace) {\n        if(trace.ids) {\n            return keyFunc;\n        }\n    }\n\n    function hideFilter() {\n        return false;\n    }\n\n    function makePoints(points, text, cdscatter) {\n        var join, selection, hasNode;\n\n        var trace = cdscatter[0].trace;\n        var showMarkers = subTypes.hasMarkers(trace);\n        var showText = subTypes.hasText(trace);\n\n        var keyFunc = getKeyFunc(trace);\n        var markerFilter = hideFilter;\n        var textFilter = hideFilter;\n\n        if(showMarkers || showText) {\n            var showFilter = identity;\n            // if we're stacking, \"infer zero\" gap mode gets markers in the\n            // gap points - because we've inferred a zero there - but other\n            // modes (currently \"interpolate\", later \"interrupt\" hopefully)\n            // we don't draw generated markers\n            var stackGroup = trace.stackgroup;\n            var isInferZero = stackGroup && (\n                gd._fullLayout._scatterStackOpts[xa._id + ya._id][stackGroup].stackgaps === 'infer zero');\n            if(trace.marker.maxdisplayed || trace._needsCull) {\n                showFilter = isInferZero ? visFilterWithGaps : visFilter;\n            }\n            else if(stackGroup && !isInferZero) {\n                showFilter = gapFilter;\n            }\n\n            if(showMarkers) markerFilter = showFilter;\n            if(showText) textFilter = showFilter;\n        }\n\n        // marker points\n\n        selection = points.selectAll('path.point');\n\n        join = selection.data(markerFilter, keyFunc);\n\n        var enter = join.enter().append('path')\n            .classed('point', true);\n\n        if(hasTransition) {\n            enter\n                .call(Drawing.pointStyle, trace, gd)\n                .call(Drawing.translatePoints, xa, ya)\n                .style('opacity', 0)\n                .transition()\n                .style('opacity', 1);\n        }\n\n        join.order();\n\n        var styleFns;\n        if(showMarkers) {\n            styleFns = Drawing.makePointStyleFns(trace);\n        }\n\n        join.each(function(d) {\n            var el = d3.select(this);\n            var sel = transition(el);\n            hasNode = Drawing.translatePoint(d, sel, xa, ya);\n\n            if(hasNode) {\n                Drawing.singlePointStyle(d, sel, trace, styleFns, gd);\n\n                if(plotinfo.layerClipId) {\n                    Drawing.hideOutsideRangePoint(d, sel, xa, ya, trace.xcalendar, trace.ycalendar);\n                }\n\n                if(trace.customdata) {\n                    el.classed('plotly-customdata', d.data !== null && d.data !== undefined);\n                }\n            } else {\n                sel.remove();\n            }\n        });\n\n        if(hasTransition) {\n            join.exit().transition()\n                .style('opacity', 0)\n                .remove();\n        } else {\n            join.exit().remove();\n        }\n\n        // text points\n        selection = text.selectAll('g');\n        join = selection.data(textFilter, keyFunc);\n\n        // each text needs to go in its own 'g' in case\n        // it gets converted to mathjax\n        join.enter().append('g').classed('textpoint', true).append('text');\n\n        join.order();\n\n        join.each(function(d) {\n            var g = d3.select(this);\n            var sel = transition(g.select('text'));\n            hasNode = Drawing.translatePoint(d, sel, xa, ya);\n\n            if(hasNode) {\n                if(plotinfo.layerClipId) {\n                    Drawing.hideOutsideRangePoint(d, g, xa, ya, trace.xcalendar, trace.ycalendar);\n                }\n            } else {\n                g.remove();\n            }\n        });\n\n        join.selectAll('text')\n            .call(Drawing.textPointStyle, trace, gd)\n            .each(function(d) {\n                // This just *has* to be totally custom becuase of SVG text positioning :(\n                // It's obviously copied from translatePoint; we just can't use that\n                var x = xa.c2p(d.x);\n                var y = ya.c2p(d.y);\n\n                d3.select(this).selectAll('tspan.line').each(function() {\n                    transition(d3.select(this)).attr({x: x, y: y});\n                });\n            });\n\n        join.exit().remove();\n    }\n\n    points.datum(cdscatter);\n    text.datum(cdscatter);\n    makePoints(points, text, cdscatter);\n\n    // lastly, clip points groups of `cliponaxis !== false` traces\n    // on `plotinfo._hasClipOnAxisFalse === true` subplots\n    var hasClipOnAxisFalse = trace.cliponaxis === false;\n    var clipUrl = hasClipOnAxisFalse ? null : plotinfo.layerClipId;\n    Drawing.setClipUrl(points, clipUrl);\n    Drawing.setClipUrl(text, clipUrl);\n}\n\nfunction selectMarkers(gd, idx, plotinfo, cdscatter, cdscatterAll) {\n    var xa = plotinfo.xaxis,\n        ya = plotinfo.yaxis,\n        xr = d3.extent(Lib.simpleMap(xa.range, xa.r2c)),\n        yr = d3.extent(Lib.simpleMap(ya.range, ya.r2c));\n\n    var trace = cdscatter[0].trace;\n    if(!subTypes.hasMarkers(trace)) return;\n    // if marker.maxdisplayed is used, select a maximum of\n    // mnum markers to show, from the set that are in the viewport\n    var mnum = trace.marker.maxdisplayed;\n\n    // TODO: remove some as we get away from the viewport?\n    if(mnum === 0) return;\n\n    var cd = cdscatter.filter(function(v) {\n            return v.x >= xr[0] && v.x <= xr[1] && v.y >= yr[0] && v.y <= yr[1];\n        }),\n        inc = Math.ceil(cd.length / mnum),\n        tnum = 0;\n    cdscatterAll.forEach(function(cdj, j) {\n        var tracei = cdj[0].trace;\n        if(subTypes.hasMarkers(tracei) &&\n                tracei.marker.maxdisplayed > 0 && j < idx) {\n            tnum++;\n        }\n    });\n\n    // if multiple traces use maxdisplayed, stagger which markers we\n    // display this formula offsets successive traces by 1/3 of the\n    // increment, adding an extra small amount after each triplet so\n    // it's not quite periodic\n    var i0 = Math.round(tnum * inc / 3 + Math.floor(tnum / 3) * inc / 7.1);\n\n    // for error bars: save in cd which markers to show\n    // so we don't have to repeat this\n    cdscatter.forEach(function(v) { delete v.vis; });\n    cd.forEach(function(v, i) {\n        if(Math.round((i + i0) % inc) === 0) v.vis = true;\n    });\n}\n\n},{\"../../components/drawing\":595,\"../../lib\":696,\"../../lib/polygon\":709,\"../../registry\":828,\"./line_points\":1058,\"./link_traces\":1060,\"./subtypes\":1068,\"d3\":148}],1065:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar subtypes = _dereq_('./subtypes');\n\nmodule.exports = function selectPoints(searchInfo, selectionTester) {\n    var cd = searchInfo.cd,\n        xa = searchInfo.xaxis,\n        ya = searchInfo.yaxis,\n        selection = [],\n        trace = cd[0].trace,\n        i,\n        di,\n        x,\n        y;\n\n    var hasOnlyLines = (!subtypes.hasMarkers(trace) && !subtypes.hasText(trace));\n    if(hasOnlyLines) return [];\n\n    if(selectionTester === false) { // clear selection\n        for(i = 0; i < cd.length; i++) {\n            cd[i].selected = 0;\n        }\n    }\n    else {\n        for(i = 0; i < cd.length; i++) {\n            di = cd[i];\n            x = xa.c2p(di.x);\n            y = ya.c2p(di.y);\n\n            if((di.i !== null) && selectionTester.contains([x, y], false, i, searchInfo)) {\n                selection.push({\n                    pointNumber: di.i,\n                    x: xa.c2d(di.x),\n                    y: ya.c2d(di.y)\n                });\n                di.selected = 1;\n            } else {\n                di.selected = 0;\n            }\n        }\n    }\n\n    return selection;\n};\n\n},{\"./subtypes\":1068}],1066:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar perStackAttrs = ['orientation', 'groupnorm', 'stackgaps'];\n\nmodule.exports = function handleStackDefaults(traceIn, traceOut, layout, coerce) {\n    var stackOpts = layout._scatterStackOpts;\n\n    var stackGroup = coerce('stackgroup');\n    if(stackGroup) {\n        // use independent stacking options per subplot\n        var subplot = traceOut.xaxis + traceOut.yaxis;\n        var subplotStackOpts = stackOpts[subplot];\n        if(!subplotStackOpts) subplotStackOpts = stackOpts[subplot] = {};\n\n        var groupOpts = subplotStackOpts[stackGroup];\n        var firstTrace = false;\n        if(groupOpts) {\n            groupOpts.traces.push(traceOut);\n        }\n        else {\n            groupOpts = subplotStackOpts[stackGroup] = {\n                // keep track of trace indices for use during stacking calculations\n                // this will be filled in during `calc` and used during `crossTraceCalc`\n                // so it's OK if we don't recreate it during a non-calc edit\n                traceIndices: [],\n                // Hold on to the whole set of prior traces\n                // First one is most important, so we can clear defaults\n                // there if we find explicit values only in later traces.\n                // We're only going to *use* the values stored in groupOpts,\n                // but for the editor and validate we want things self-consistent\n                // The full set of traces is used only to fix `fill` default if\n                // we find `orientation: 'h'` beyond the first trace\n                traces: [traceOut]\n            };\n            firstTrace = true;\n        }\n        // TODO: how is this going to work with groupby transforms?\n        // in principle it should be OK I guess, as long as explicit group styles\n        // don't override explicit base-trace styles?\n\n        var dflts = {\n            orientation: (traceOut.x && !traceOut.y) ? 'h' : 'v'\n        };\n\n        for(var i = 0; i < perStackAttrs.length; i++) {\n            var attr = perStackAttrs[i];\n            var attrFound = attr + 'Found';\n            if(!groupOpts[attrFound]) {\n                var traceHasAttr = traceIn[attr] !== undefined;\n                var isOrientation = attr === 'orientation';\n                if(traceHasAttr || firstTrace) {\n                    groupOpts[attr] = coerce(attr, dflts[attr]);\n\n                    if(isOrientation) {\n                        groupOpts.fillDflt = groupOpts[attr] === 'h' ?\n                            'tonextx' : 'tonexty';\n                    }\n\n                    if(traceHasAttr) {\n                        // Note: this will show a value here even if it's invalid\n                        // in which case it will revert to default.\n                        groupOpts[attrFound] = true;\n\n                        // Note: only one trace in the stack will get a _fullData\n                        // entry for a given stack-wide attribute. If no traces\n                        // (or the first trace) specify that attribute, the\n                        // first trace will get it. If the first trace does NOT\n                        // specify it but some later trace does, then it gets\n                        // removed from the first trace and only included in the\n                        // one that specified it. This is mostly important for\n                        // editors (that want to see the full values to know\n                        // what settings are available) and Plotly.react diffing.\n                        // Editors may want to use fullLayout._scatterStackOpts\n                        // directly and make these settings available from all\n                        // traces in the stack... then set the new value into\n                        // the first trace, and clear all later traces.\n                        if(!firstTrace) {\n                            delete groupOpts.traces[0][attr];\n\n                            // orientation can affect default fill of previous traces\n                            if(isOrientation) {\n                                for(var j = 0; j < groupOpts.traces.length - 1; j++) {\n                                    var trace2 = groupOpts.traces[j];\n                                    if(trace2._input.fill !== trace2.fill) {\n                                        trace2.fill = groupOpts.fillDflt;\n                                    }\n                                }\n                            }\n                        }\n                    }\n                }\n            }\n        }\n        return groupOpts;\n    }\n};\n\n},{}],1067:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Drawing = _dereq_('../../components/drawing');\nvar Registry = _dereq_('../../registry');\n\nfunction style(gd, cd) {\n    var s = cd ? cd[0].node3 : d3.select(gd).selectAll('g.trace.scatter');\n\n    s.style('opacity', function(d) {\n        return d[0].trace.opacity;\n    });\n\n    s.selectAll('g.points').each(function(d) {\n        var sel = d3.select(this);\n        var trace = d.trace || d[0].trace;\n        stylePoints(sel, trace, gd);\n    });\n\n    s.selectAll('g.text').each(function(d) {\n        var sel = d3.select(this);\n        var trace = d.trace || d[0].trace;\n        styleText(sel, trace, gd);\n    });\n\n    s.selectAll('g.trace path.js-line')\n        .call(Drawing.lineGroupStyle);\n\n    s.selectAll('g.trace path.js-fill')\n        .call(Drawing.fillGroupStyle);\n\n    Registry.getComponentMethod('errorbars', 'style')(s);\n}\n\nfunction stylePoints(sel, trace, gd) {\n    Drawing.pointStyle(sel.selectAll('path.point'), trace, gd);\n}\n\nfunction styleText(sel, trace, gd) {\n    Drawing.textPointStyle(sel.selectAll('text'), trace, gd);\n}\n\nfunction styleOnSelect(gd, cd) {\n    var s = cd[0].node3;\n    var trace = cd[0].trace;\n\n    if(trace.selectedpoints) {\n        Drawing.selectedPointStyle(s.selectAll('path.point'), trace);\n        Drawing.selectedTextStyle(s.selectAll('text'), trace);\n    } else {\n        stylePoints(s, trace, gd);\n        styleText(s, trace, gd);\n    }\n}\n\nmodule.exports = {\n    style: style,\n    stylePoints: stylePoints,\n    styleText: styleText,\n    styleOnSelect: styleOnSelect\n};\n\n},{\"../../components/drawing\":595,\"../../registry\":828,\"d3\":148}],1068:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nmodule.exports = {\n    hasLines: function(trace) {\n        return trace.visible && trace.mode &&\n            trace.mode.indexOf('lines') !== -1;\n    },\n\n    hasMarkers: function(trace) {\n        return trace.visible && (\n            (trace.mode && trace.mode.indexOf('markers') !== -1) ||\n            // until splom implements 'mode'\n            trace.type === 'splom'\n        );\n    },\n\n    hasText: function(trace) {\n        return trace.visible && trace.mode &&\n            trace.mode.indexOf('text') !== -1;\n    },\n\n    isBubble: function(trace) {\n        return Lib.isPlainObject(trace.marker) &&\n            Lib.isArrayOrTypedArray(trace.marker.size);\n    }\n};\n\n},{\"../../lib\":696}],1069:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\n/*\n * opts: object of flags to control features not all text users support\n *   noSelect: caller does not support selected/unselected attribute containers\n */\nmodule.exports = function(traceIn, traceOut, layout, coerce, opts) {\n    opts = opts || {};\n\n    coerce('textposition');\n    Lib.coerceFont(coerce, 'textfont', layout.font);\n\n    if(!opts.noSelect) {\n        coerce('selected.textfont.color');\n        coerce('unselected.textfont.color');\n    }\n};\n\n},{\"../../lib\":696}],1070:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\n\n\nmodule.exports = function handleXYDefaults(traceIn, traceOut, layout, coerce) {\n    var len,\n        x = coerce('x'),\n        y = coerce('y');\n\n    var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleTraceDefaults');\n    handleCalendarDefaults(traceIn, traceOut, ['x', 'y'], layout);\n\n    if(x) {\n        if(y) {\n            len = Math.min(x.length, y.length);\n        }\n        else {\n            len = x.length;\n            coerce('y0');\n            coerce('dy');\n        }\n    }\n    else {\n        if(!y) return 0;\n\n        len = traceOut.y.length;\n        coerce('x0');\n        coerce('dx');\n    }\n\n    traceOut._length = len;\n\n    return len;\n};\n\n},{\"../../registry\":828}],1071:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar colorAttributes = _dereq_('../../components/colorscale/attributes');\nvar baseAttrs = _dereq_('../../plots/attributes');\nvar DASHES = _dereq_('../../constants/gl3d_dashes');\n\nvar MARKER_SYMBOLS = _dereq_('../../constants/gl3d_markers');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\nvar scatterLineAttrs = scatterAttrs.line;\nvar scatterMarkerAttrs = scatterAttrs.marker;\nvar scatterMarkerLineAttrs = scatterMarkerAttrs.line;\n\nvar lineAttrs = extendFlat({\n    width: scatterLineAttrs.width,\n    dash: {\n        valType: 'enumerated',\n        values: Object.keys(DASHES),\n        dflt: 'solid',\n        \n        \n    }\n}, colorAttributes('line'));\n// not yet implemented\ndelete lineAttrs.showscale;\ndelete lineAttrs.colorbar;\n\nfunction makeProjectionAttr(axLetter) {\n    return {\n        show: {\n            valType: 'boolean',\n            \n            dflt: false,\n            \n        },\n        opacity: {\n            valType: 'number',\n            \n            min: 0,\n            max: 1,\n            dflt: 1,\n            \n        },\n        scale: {\n            valType: 'number',\n            \n            min: 0,\n            max: 10,\n            dflt: 2 / 3,\n            \n        }\n    };\n}\n\nvar attrs = module.exports = overrideAll({\n    x: scatterAttrs.x,\n    y: scatterAttrs.y,\n    z: {\n        valType: 'data_array',\n        \n    },\n\n    text: extendFlat({}, scatterAttrs.text, {\n        \n    }),\n    hovertext: extendFlat({}, scatterAttrs.hovertext, {\n        \n    }),\n\n    mode: extendFlat({}, scatterAttrs.mode,  // shouldn't this be on-par with 2D?\n        {dflt: 'lines+markers'}),\n    surfaceaxis: {\n        valType: 'enumerated',\n        \n        values: [-1, 0, 1, 2],\n        dflt: -1,\n        \n    },\n    surfacecolor: {\n        valType: 'color',\n        \n        \n    },\n    projection: {\n        x: makeProjectionAttr('x'),\n        y: makeProjectionAttr('y'),\n        z: makeProjectionAttr('z')\n    },\n\n    connectgaps: scatterAttrs.connectgaps,\n    line: lineAttrs,\n\n    marker: extendFlat({  // Parity with scatter.js?\n        symbol: {\n            valType: 'enumerated',\n            values: Object.keys(MARKER_SYMBOLS),\n            \n            dflt: 'circle',\n            arrayOk: true,\n            \n        },\n        size: extendFlat({}, scatterMarkerAttrs.size, {dflt: 8}),\n        sizeref: scatterMarkerAttrs.sizeref,\n        sizemin: scatterMarkerAttrs.sizemin,\n        sizemode: scatterMarkerAttrs.sizemode,\n        opacity: extendFlat({}, scatterMarkerAttrs.opacity, {\n            arrayOk: false,\n            \n        }),\n        colorbar: scatterMarkerAttrs.colorbar,\n\n        line: extendFlat({\n            width: extendFlat({}, scatterMarkerLineAttrs.width, {arrayOk: false})\n        },\n            colorAttributes('marker.line')\n        )\n    },\n        colorAttributes('marker')\n    ),\n\n    textposition: extendFlat({}, scatterAttrs.textposition, {dflt: 'top center', arrayOk: false}),\n    textfont: {\n        color: scatterAttrs.textfont.color,\n        size: scatterAttrs.textfont.size,\n        family: extendFlat({}, scatterAttrs.textfont.family, {arrayOk: false})\n    },\n\n    hoverinfo: extendFlat({}, baseAttrs.hoverinfo)\n}, 'calc', 'nested');\n\nattrs.x.editType = attrs.y.editType = attrs.z.editType = 'calc+clearAxisTypes';\n\n},{\"../../components/colorscale/attributes\":577,\"../../constants/gl3d_dashes\":670,\"../../constants/gl3d_markers\":671,\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../../plots/attributes\":742,\"../scatter/attributes\":1044}],1072:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar arraysToCalcdata = _dereq_('../scatter/arrays_to_calcdata');\nvar calcColorscales = _dereq_('../scatter/colorscale_calc');\n\n\n/**\n * This is a kludge to put the array attributes into\n * calcdata the way Scatter.plot does, so that legends and\n * popovers know what to do with them.\n */\nmodule.exports = function calc(gd, trace) {\n    var cd = [{x: false, y: false, trace: trace, t: {}}];\n\n    arraysToCalcdata(cd, trace);\n    calcColorscales(trace);\n\n    return cd;\n};\n\n},{\"../scatter/arrays_to_calcdata\":1043,\"../scatter/colorscale_calc\":1047}],1073:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\n\nfunction calculateAxisErrors(data, params, scaleFactor, axis) {\n    if(!params || !params.visible) return null;\n\n    var computeError = Registry.getComponentMethod('errorbars', 'makeComputeError')(params);\n    var result = new Array(data.length);\n\n    for(var i = 0; i < data.length; i++) {\n        var errors = computeError(+data[i], i);\n\n        if(axis.type === 'log') {\n            var point = axis.c2l(data[i]);\n            var min = data[i] - errors[0],\n                max = data[i] + errors[1];\n\n            result[i] = [\n                (axis.c2l(min, true) - point) * scaleFactor,\n                (axis.c2l(max, true) - point) * scaleFactor\n            ];\n\n            // Keep track of the lower error bound which isn't negative!\n            if(min > 0) {\n                var lower = axis.c2l(min);\n                if(!axis._lowerLogErrorBound) axis._lowerLogErrorBound = lower;\n                axis._lowerErrorBound = Math.min(axis._lowerLogErrorBound, lower);\n            }\n        } else {\n            result[i] = [\n                -errors[0] * scaleFactor,\n                errors[1] * scaleFactor\n            ];\n        }\n    }\n\n    return result;\n}\n\nfunction dataLength(array) {\n    for(var i = 0; i < array.length; i++) {\n        if(array[i]) return array[i].length;\n    }\n    return 0;\n}\n\nfunction calculateErrors(data, scaleFactor, sceneLayout) {\n    var errors = [\n        calculateAxisErrors(data.x, data.error_x, scaleFactor[0], sceneLayout.xaxis),\n        calculateAxisErrors(data.y, data.error_y, scaleFactor[1], sceneLayout.yaxis),\n        calculateAxisErrors(data.z, data.error_z, scaleFactor[2], sceneLayout.zaxis)\n    ];\n\n    var n = dataLength(errors);\n    if(n === 0) return null;\n\n    var errorBounds = new Array(n);\n\n    for(var i = 0; i < n; i++) {\n        var bound = [[0, 0, 0], [0, 0, 0]];\n\n        for(var j = 0; j < 3; j++) {\n            if(errors[j]) {\n                for(var k = 0; k < 2; k++) {\n                    bound[k][j] = errors[j][i][k];\n                }\n            }\n        }\n\n        errorBounds[i] = bound;\n    }\n\n    return errorBounds;\n}\n\nmodule.exports = calculateErrors;\n\n},{\"../../registry\":828}],1074:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar createLinePlot = _dereq_('gl-line3d');\nvar createScatterPlot = _dereq_('gl-scatter3d');\nvar createErrorBars = _dereq_('gl-error3d');\nvar createMesh = _dereq_('gl-mesh3d');\nvar triangulate = _dereq_('delaunay-triangulate');\n\nvar Lib = _dereq_('../../lib');\nvar str2RgbaArray = _dereq_('../../lib/str2rgbarray');\nvar formatColor = _dereq_('../../lib/gl_format_color').formatColor;\nvar makeBubbleSizeFn = _dereq_('../scatter/make_bubble_size_func');\nvar DASH_PATTERNS = _dereq_('../../constants/gl3d_dashes');\nvar MARKER_SYMBOLS = _dereq_('../../constants/gl3d_markers');\n\nvar calculateError = _dereq_('./calc_errors');\n\nfunction LineWithMarkers(scene, uid) {\n    this.scene = scene;\n    this.uid = uid;\n    this.linePlot = null;\n    this.scatterPlot = null;\n    this.errorBars = null;\n    this.textMarkers = null;\n    this.delaunayMesh = null;\n    this.color = null;\n    this.mode = '';\n    this.dataPoints = [];\n    this.axesBounds = [\n        [-Infinity, -Infinity, -Infinity],\n        [Infinity, Infinity, Infinity]\n    ];\n    this.textLabels = null;\n    this.data = null;\n}\n\nvar proto = LineWithMarkers.prototype;\n\nproto.handlePick = function(selection) {\n    if(selection.object &&\n        (selection.object === this.linePlot ||\n         selection.object === this.delaunayMesh ||\n         selection.object === this.textMarkers ||\n         selection.object === this.scatterPlot)\n    ) {\n        var ind = selection.index = selection.data.index;\n\n        if(selection.object.highlight) {\n            selection.object.highlight(null);\n        }\n        if(this.scatterPlot) {\n            selection.object = this.scatterPlot;\n            this.scatterPlot.highlight(selection.data);\n        }\n\n        selection.textLabel = '';\n        if(this.textLabels) {\n            if(Array.isArray(this.textLabels)) {\n                if(this.textLabels[ind] || this.textLabels[ind] === 0) {\n                    selection.textLabel = this.textLabels[ind];\n                }\n            } else {\n                selection.textLabel = this.textLabels;\n            }\n        }\n\n        selection.traceCoordinate = [\n            this.data.x[ind],\n            this.data.y[ind],\n            this.data.z[ind]\n        ];\n\n        return true;\n    }\n};\n\nfunction constructDelaunay(points, color, axis) {\n    var u = (axis + 1) % 3;\n    var v = (axis + 2) % 3;\n    var filteredPoints = [];\n    var filteredIds = [];\n    var i;\n\n    for(i = 0; i < points.length; ++i) {\n        var p = points[i];\n        if(isNaN(p[u]) || !isFinite(p[u]) ||\n           isNaN(p[v]) || !isFinite(p[v])) {\n            continue;\n        }\n        filteredPoints.push([p[u], p[v]]);\n        filteredIds.push(i);\n    }\n    var cells = triangulate(filteredPoints);\n    for(i = 0; i < cells.length; ++i) {\n        var c = cells[i];\n        for(var j = 0; j < c.length; ++j) {\n            c[j] = filteredIds[c[j]];\n        }\n    }\n    return {\n        positions: points,\n        cells: cells,\n        meshColor: color\n    };\n}\n\nfunction calculateErrorParams(errors) {\n    var capSize = [0.0, 0.0, 0.0],\n        color = [[0, 0, 0], [0, 0, 0], [0, 0, 0]],\n        lineWidth = [1.0, 1.0, 1.0];\n\n    for(var i = 0; i < 3; i++) {\n        var e = errors[i];\n\n        if(e && e.copy_zstyle !== false && errors[2].visible !== false) e = errors[2];\n        if(!e || !e.visible) continue;\n\n        capSize[i] = e.width / 2;  // ballpark rescaling\n        color[i] = str2RgbaArray(e.color);\n        lineWidth[i] = e.thickness;\n\n    }\n\n    return {capSize: capSize, color: color, lineWidth: lineWidth};\n}\n\nfunction calculateTextOffset(tp) {\n    // Read out text properties\n    var textOffset = [0, 0];\n    if(Array.isArray(tp)) return [0, -1];\n    if(tp.indexOf('bottom') >= 0) textOffset[1] += 1;\n    if(tp.indexOf('top') >= 0) textOffset[1] -= 1;\n    if(tp.indexOf('left') >= 0) textOffset[0] -= 1;\n    if(tp.indexOf('right') >= 0) textOffset[0] += 1;\n    return textOffset;\n}\n\n\nfunction calculateSize(sizeIn, sizeFn) {\n    // rough parity with Plotly 2D markers\n    return sizeFn(sizeIn * 4);\n}\n\nfunction calculateSymbol(symbolIn) {\n    return MARKER_SYMBOLS[symbolIn];\n}\n\nfunction formatParam(paramIn, len, calculate, dflt, extraFn) {\n    var paramOut = null;\n\n    if(Lib.isArrayOrTypedArray(paramIn)) {\n        paramOut = [];\n\n        for(var i = 0; i < len; i++) {\n            if(paramIn[i] === undefined) paramOut[i] = dflt;\n            else paramOut[i] = calculate(paramIn[i], extraFn);\n        }\n\n    }\n    else paramOut = calculate(paramIn, Lib.identity);\n\n    return paramOut;\n}\n\n\nfunction convertPlotlyOptions(scene, data) {\n    var params, i,\n        points = [],\n        sceneLayout = scene.fullSceneLayout,\n        scaleFactor = scene.dataScale,\n        xaxis = sceneLayout.xaxis,\n        yaxis = sceneLayout.yaxis,\n        zaxis = sceneLayout.zaxis,\n        marker = data.marker,\n        line = data.line,\n        xc, x = data.x || [],\n        yc, y = data.y || [],\n        zc, z = data.z || [],\n        len = x.length,\n        xcalendar = data.xcalendar,\n        ycalendar = data.ycalendar,\n        zcalendar = data.zcalendar,\n        text;\n\n    // Convert points\n    for(i = 0; i < len; i++) {\n        // sanitize numbers and apply transforms based on axes.type\n        xc = xaxis.d2l(x[i], 0, xcalendar) * scaleFactor[0];\n        yc = yaxis.d2l(y[i], 0, ycalendar) * scaleFactor[1];\n        zc = zaxis.d2l(z[i], 0, zcalendar) * scaleFactor[2];\n\n        points[i] = [xc, yc, zc];\n    }\n\n    // convert text\n    if(Array.isArray(data.text)) text = data.text;\n    else if(data.text !== undefined) {\n        text = new Array(len);\n        for(i = 0; i < len; i++) text[i] = data.text;\n    }\n\n    // Build object parameters\n    params = {\n        position: points,\n        mode: data.mode,\n        text: text\n    };\n\n    if('line' in data) {\n        params.lineColor = formatColor(line, 1, len);\n        params.lineWidth = line.width;\n        params.lineDashes = line.dash;\n    }\n\n    if('marker' in data) {\n        var sizeFn = makeBubbleSizeFn(data);\n\n        params.scatterColor = formatColor(marker, 1, len);\n        params.scatterSize = formatParam(marker.size, len, calculateSize, 20, sizeFn);\n        params.scatterMarker = formatParam(marker.symbol, len, calculateSymbol, '●');\n        params.scatterLineWidth = marker.line.width;  // arrayOk === false\n        params.scatterLineColor = formatColor(marker.line, 1, len);\n        params.scatterAngle = 0;\n    }\n\n    if('textposition' in data) {\n        params.textOffset = calculateTextOffset(data.textposition);  // arrayOk === false\n        params.textColor = formatColor(data.textfont, 1, len);\n        params.textSize = formatParam(data.textfont.size, len, Lib.identity, 12);\n        params.textFont = data.textfont.family;  // arrayOk === false\n        params.textAngle = 0;\n    }\n\n    var dims = ['x', 'y', 'z'];\n    params.project = [false, false, false];\n    params.projectScale = [1, 1, 1];\n    params.projectOpacity = [1, 1, 1];\n    for(i = 0; i < 3; ++i) {\n        var projection = data.projection[dims[i]];\n        if((params.project[i] = projection.show)) {\n            params.projectOpacity[i] = projection.opacity;\n            params.projectScale[i] = projection.scale;\n        }\n    }\n\n    params.errorBounds = calculateError(data, scaleFactor, sceneLayout);\n\n    var errorParams = calculateErrorParams([data.error_x, data.error_y, data.error_z]);\n    params.errorColor = errorParams.color;\n    params.errorLineWidth = errorParams.lineWidth;\n    params.errorCapSize = errorParams.capSize;\n\n    params.delaunayAxis = data.surfaceaxis;\n    params.delaunayColor = str2RgbaArray(data.surfacecolor);\n\n    return params;\n}\n\nfunction arrayToColor(color) {\n    if(Array.isArray(color)) {\n        var c = color[0];\n\n        if(Array.isArray(c)) color = c;\n\n        return 'rgb(' + color.slice(0, 3).map(function(x) {\n            return Math.round(x * 255);\n        }) + ')';\n    }\n\n    return null;\n}\n\nproto.update = function(data) {\n    var gl = this.scene.glplot.gl,\n        lineOptions,\n        scatterOptions,\n        errorOptions,\n        textOptions,\n        dashPattern = DASH_PATTERNS.solid;\n\n    // Save data\n    this.data = data;\n\n    // Run data conversion\n    var options = convertPlotlyOptions(this.scene, data);\n\n    if('mode' in options) {\n        this.mode = options.mode;\n    }\n    if('lineDashes' in options) {\n        if(options.lineDashes in DASH_PATTERNS) {\n            dashPattern = DASH_PATTERNS[options.lineDashes];\n        }\n    }\n\n    this.color = arrayToColor(options.scatterColor) ||\n                 arrayToColor(options.lineColor);\n\n    // Save data points\n    this.dataPoints = options.position;\n\n    lineOptions = {\n        gl: gl,\n        position: options.position,\n        color: options.lineColor,\n        lineWidth: options.lineWidth || 1,\n        dashes: dashPattern[0],\n        dashScale: dashPattern[1],\n        opacity: data.opacity,\n        connectGaps: data.connectgaps\n    };\n\n    if(this.mode.indexOf('lines') !== -1) {\n        if(this.linePlot) this.linePlot.update(lineOptions);\n        else {\n            this.linePlot = createLinePlot(lineOptions);\n            this.linePlot._trace = this;\n            this.scene.glplot.add(this.linePlot);\n        }\n    } else if(this.linePlot) {\n        this.scene.glplot.remove(this.linePlot);\n        this.linePlot.dispose();\n        this.linePlot = null;\n    }\n\n    // N.B. marker.opacity must be a scalar for performance\n    var scatterOpacity = data.opacity;\n    if(data.marker && data.marker.opacity) scatterOpacity *= data.marker.opacity;\n\n    scatterOptions = {\n        gl: gl,\n        position: options.position,\n        color: options.scatterColor,\n        size: options.scatterSize,\n        glyph: options.scatterMarker,\n        opacity: scatterOpacity,\n        orthographic: true,\n        lineWidth: options.scatterLineWidth,\n        lineColor: options.scatterLineColor,\n        project: options.project,\n        projectScale: options.projectScale,\n        projectOpacity: options.projectOpacity\n    };\n\n    if(this.mode.indexOf('markers') !== -1) {\n        if(this.scatterPlot) this.scatterPlot.update(scatterOptions);\n        else {\n            this.scatterPlot = createScatterPlot(scatterOptions);\n            this.scatterPlot._trace = this;\n            this.scatterPlot.highlightScale = 1;\n            this.scene.glplot.add(this.scatterPlot);\n        }\n    } else if(this.scatterPlot) {\n        this.scene.glplot.remove(this.scatterPlot);\n        this.scatterPlot.dispose();\n        this.scatterPlot = null;\n    }\n\n    textOptions = {\n        gl: gl,\n        position: options.position,\n        glyph: options.text,\n        color: options.textColor,\n        size: options.textSize,\n        angle: options.textAngle,\n        alignment: options.textOffset,\n        font: options.textFont,\n        orthographic: true,\n        lineWidth: 0,\n        project: false,\n        opacity: data.opacity\n    };\n\n    this.textLabels = data.hovertext || data.text;\n\n    if(this.mode.indexOf('text') !== -1) {\n        if(this.textMarkers) this.textMarkers.update(textOptions);\n        else {\n            this.textMarkers = createScatterPlot(textOptions);\n            this.textMarkers._trace = this;\n            this.textMarkers.highlightScale = 1;\n            this.scene.glplot.add(this.textMarkers);\n        }\n    } else if(this.textMarkers) {\n        this.scene.glplot.remove(this.textMarkers);\n        this.textMarkers.dispose();\n        this.textMarkers = null;\n    }\n\n    errorOptions = {\n        gl: gl,\n        position: options.position,\n        color: options.errorColor,\n        error: options.errorBounds,\n        lineWidth: options.errorLineWidth,\n        capSize: options.errorCapSize,\n        opacity: data.opacity\n    };\n    if(this.errorBars) {\n        if(options.errorBounds) {\n            this.errorBars.update(errorOptions);\n        } else {\n            this.scene.glplot.remove(this.errorBars);\n            this.errorBars.dispose();\n            this.errorBars = null;\n        }\n    } else if(options.errorBounds) {\n        this.errorBars = createErrorBars(errorOptions);\n        this.errorBars._trace = this;\n        this.scene.glplot.add(this.errorBars);\n    }\n\n    if(options.delaunayAxis >= 0) {\n        var delaunayOptions = constructDelaunay(\n            options.position,\n            options.delaunayColor,\n            options.delaunayAxis\n        );\n        delaunayOptions.opacity = data.opacity;\n\n        if(this.delaunayMesh) {\n            this.delaunayMesh.update(delaunayOptions);\n        } else {\n            delaunayOptions.gl = gl;\n            this.delaunayMesh = createMesh(delaunayOptions);\n            this.delaunayMesh._trace = this;\n            this.scene.glplot.add(this.delaunayMesh);\n        }\n    } else if(this.delaunayMesh) {\n        this.scene.glplot.remove(this.delaunayMesh);\n        this.delaunayMesh.dispose();\n        this.delaunayMesh = null;\n    }\n};\n\nproto.dispose = function() {\n    if(this.linePlot) {\n        this.scene.glplot.remove(this.linePlot);\n        this.linePlot.dispose();\n    }\n    if(this.scatterPlot) {\n        this.scene.glplot.remove(this.scatterPlot);\n        this.scatterPlot.dispose();\n    }\n    if(this.errorBars) {\n        this.scene.glplot.remove(this.errorBars);\n        this.errorBars.dispose();\n    }\n    if(this.textMarkers) {\n        this.scene.glplot.remove(this.textMarkers);\n        this.textMarkers.dispose();\n    }\n    if(this.delaunayMesh) {\n        this.scene.glplot.remove(this.delaunayMesh);\n        this.delaunayMesh.dispose();\n    }\n};\n\nfunction createLineWithMarkers(scene, data) {\n    var plot = new LineWithMarkers(scene, data.uid);\n    plot.update(data);\n    return plot;\n}\n\nmodule.exports = createLineWithMarkers;\n\n},{\"../../constants/gl3d_dashes\":670,\"../../constants/gl3d_markers\":671,\"../../lib\":696,\"../../lib/gl_format_color\":692,\"../../lib/str2rgbarray\":720,\"../scatter/make_bubble_size_func\":1061,\"./calc_errors\":1073,\"delaunay-triangulate\":150,\"gl-error3d\":237,\"gl-line3d\":245,\"gl-mesh3d\":268,\"gl-scatter3d\":284}],1075:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\n\nvar subTypes = _dereq_('../scatter/subtypes');\nvar handleMarkerDefaults = _dereq_('../scatter/marker_defaults');\nvar handleLineDefaults = _dereq_('../scatter/line_defaults');\nvar handleTextDefaults = _dereq_('../scatter/text_defaults');\n\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var len = handleXYZDefaults(traceIn, traceOut, coerce, layout);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('text');\n    coerce('hovertext');\n    coerce('mode');\n\n    if(subTypes.hasLines(traceOut)) {\n        coerce('connectgaps');\n        handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n    }\n\n    if(subTypes.hasMarkers(traceOut)) {\n        handleMarkerDefaults(traceIn, traceOut, defaultColor, layout, coerce, {noSelect: true});\n    }\n\n    if(subTypes.hasText(traceOut)) {\n        handleTextDefaults(traceIn, traceOut, layout, coerce, {noSelect: true});\n    }\n\n    var lineColor = (traceOut.line || {}).color,\n        markerColor = (traceOut.marker || {}).color;\n    if(coerce('surfaceaxis') >= 0) coerce('surfacecolor', lineColor || markerColor);\n\n    var dims = ['x', 'y', 'z'];\n    for(var i = 0; i < 3; ++i) {\n        var projection = 'projection.' + dims[i];\n        if(coerce(projection + '.show')) {\n            coerce(projection + '.opacity');\n            coerce(projection + '.scale');\n        }\n    }\n\n    var errorBarsSupplyDefaults = Registry.getComponentMethod('errorbars', 'supplyDefaults');\n    errorBarsSupplyDefaults(traceIn, traceOut, defaultColor, {axis: 'z'});\n    errorBarsSupplyDefaults(traceIn, traceOut, defaultColor, {axis: 'y', inherit: 'z'});\n    errorBarsSupplyDefaults(traceIn, traceOut, defaultColor, {axis: 'x', inherit: 'z'});\n};\n\nfunction handleXYZDefaults(traceIn, traceOut, coerce, layout) {\n    var len = 0,\n        x = coerce('x'),\n        y = coerce('y'),\n        z = coerce('z');\n\n    var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleTraceDefaults');\n    handleCalendarDefaults(traceIn, traceOut, ['x', 'y', 'z'], layout);\n\n    if(x && y && z) {\n        // TODO: what happens if one is missing?\n        len = Math.min(x.length, y.length, z.length);\n        traceOut._length = traceOut._xlength = traceOut._ylength = traceOut._zlength = len;\n    }\n\n    return len;\n}\n\n},{\"../../lib\":696,\"../../registry\":828,\"../scatter/line_defaults\":1057,\"../scatter/marker_defaults\":1063,\"../scatter/subtypes\":1068,\"../scatter/text_defaults\":1069,\"./attributes\":1071}],1076:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Scatter3D = {};\n\nScatter3D.plot = _dereq_('./convert');\nScatter3D.attributes = _dereq_('./attributes');\nScatter3D.markerSymbols = _dereq_('../../constants/gl3d_markers');\nScatter3D.supplyDefaults = _dereq_('./defaults');\nScatter3D.colorbar = _dereq_('../scatter/marker_colorbar');\nScatter3D.calc = _dereq_('./calc');\n\nScatter3D.moduleType = 'trace';\nScatter3D.name = 'scatter3d';\nScatter3D.basePlotModule = _dereq_('../../plots/gl3d');\nScatter3D.categories = ['gl3d', 'symbols', 'showLegend'];\nScatter3D.meta = {\n    \n    \n};\n\nmodule.exports = Scatter3D;\n\n},{\"../../constants/gl3d_markers\":671,\"../../plots/gl3d\":788,\"../scatter/marker_colorbar\":1062,\"./attributes\":1071,\"./calc\":1072,\"./convert\":1074,\"./defaults\":1075}],1077:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar plotAttrs = _dereq_('../../plots/attributes');\nvar colorAttributes = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar scatterMarkerAttrs = scatterAttrs.marker,\n    scatterLineAttrs = scatterAttrs.line,\n    scatterMarkerLineAttrs = scatterMarkerAttrs.line;\n\nmodule.exports = {\n    carpet: {\n        valType: 'string',\n        \n        editType: 'calc',\n        \n    },\n    a: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    b: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    mode: extendFlat({}, scatterAttrs.mode, {dflt: 'markers'}),\n    text: extendFlat({}, scatterAttrs.text, {\n        \n    }),\n    line: {\n        color: scatterLineAttrs.color,\n        width: scatterLineAttrs.width,\n        dash: scatterLineAttrs.dash,\n        shape: extendFlat({}, scatterLineAttrs.shape,\n            {values: ['linear', 'spline']}),\n        smoothing: scatterLineAttrs.smoothing,\n        editType: 'calc'\n    },\n    connectgaps: scatterAttrs.connectgaps,\n    fill: extendFlat({}, scatterAttrs.fill, {\n        values: ['none', 'toself', 'tonext'],\n        dflt: 'none',\n        \n    }),\n    fillcolor: scatterAttrs.fillcolor,\n    marker: extendFlat({\n        symbol: scatterMarkerAttrs.symbol,\n        opacity: scatterMarkerAttrs.opacity,\n        maxdisplayed: scatterMarkerAttrs.maxdisplayed,\n        size: scatterMarkerAttrs.size,\n        sizeref: scatterMarkerAttrs.sizeref,\n        sizemin: scatterMarkerAttrs.sizemin,\n        sizemode: scatterMarkerAttrs.sizemode,\n        line: extendFlat({\n            width: scatterMarkerLineAttrs.width,\n            editType: 'calc'\n        },\n            colorAttributes('marker.line')\n        ),\n        gradient: scatterMarkerAttrs.gradient,\n        editType: 'calc'\n    }, colorAttributes('marker'), {\n        colorbar: colorbarAttrs\n    }),\n\n    textfont: scatterAttrs.textfont,\n    textposition: scatterAttrs.textposition,\n\n    selected: scatterAttrs.selected,\n    unselected: scatterAttrs.unselected,\n\n    hoverinfo: extendFlat({}, plotAttrs.hoverinfo, {\n        flags: ['a', 'b', 'text', 'name']\n    }),\n    hoveron: scatterAttrs.hoveron,\n};\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plots/attributes\":742,\"../scatter/attributes\":1044}],1078:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar calcColorscale = _dereq_('../scatter/colorscale_calc');\nvar arraysToCalcdata = _dereq_('../scatter/arrays_to_calcdata');\nvar calcSelection = _dereq_('../scatter/calc_selection');\nvar calcMarkerSize = _dereq_('../scatter/calc').calcMarkerSize;\nvar lookupCarpet = _dereq_('../carpet/lookup_carpetid');\n\nmodule.exports = function calc(gd, trace) {\n    var carpet = trace._carpetTrace = lookupCarpet(gd, trace);\n    if(!carpet || !carpet.visible || carpet.visible === 'legendonly') return;\n    var i;\n\n    // Transfer this over from carpet before plotting since this is a necessary\n    // condition in order for cartesian to actually plot this trace:\n    trace.xaxis = carpet.xaxis;\n    trace.yaxis = carpet.yaxis;\n\n    // make the calcdata array\n    var serieslen = trace._length;\n    var cd = new Array(serieslen);\n    var a, b;\n    var needsCull = false;\n    for(i = 0; i < serieslen; i++) {\n        a = trace.a[i];\n        b = trace.b[i];\n        if(isNumeric(a) && isNumeric(b)) {\n            var xy = carpet.ab2xy(+a, +b, true);\n            var visible = carpet.isVisible(+a, +b);\n            if(!visible) needsCull = true;\n            cd[i] = {x: xy[0], y: xy[1], a: a, b: b, vis: visible};\n        }\n        else cd[i] = {x: false, y: false};\n    }\n\n    trace._needsCull = needsCull;\n\n    cd[0].carpet = carpet;\n    cd[0].trace = trace;\n\n    calcMarkerSize(trace, serieslen);\n    calcColorscale(trace);\n    arraysToCalcdata(cd, trace);\n    calcSelection(cd, trace);\n\n    return cd;\n};\n\n},{\"../carpet/lookup_carpetid\":895,\"../scatter/arrays_to_calcdata\":1043,\"../scatter/calc\":1045,\"../scatter/calc_selection\":1046,\"../scatter/colorscale_calc\":1047,\"fast-isnumeric\":214}],1079:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar constants = _dereq_('../scatter/constants');\nvar subTypes = _dereq_('../scatter/subtypes');\nvar handleMarkerDefaults = _dereq_('../scatter/marker_defaults');\nvar handleLineDefaults = _dereq_('../scatter/line_defaults');\nvar handleLineShapeDefaults = _dereq_('../scatter/line_shape_defaults');\nvar handleTextDefaults = _dereq_('../scatter/text_defaults');\nvar handleFillColorDefaults = _dereq_('../scatter/fillcolor_defaults');\n\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    coerce('carpet');\n\n    // XXX: Don't hard code this\n    traceOut.xaxis = 'x';\n    traceOut.yaxis = 'y';\n\n    var a = coerce('a');\n    var b = coerce('b');\n    var len = Math.min(a.length, b.length);\n\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    traceOut._length = len;\n\n    coerce('text');\n\n    var defaultMode = len < constants.PTS_LINESONLY ? 'lines+markers' : 'lines';\n    coerce('mode', defaultMode);\n\n    if(subTypes.hasLines(traceOut)) {\n        handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n        handleLineShapeDefaults(traceIn, traceOut, coerce);\n        coerce('connectgaps');\n    }\n\n    if(subTypes.hasMarkers(traceOut)) {\n        handleMarkerDefaults(traceIn, traceOut, defaultColor, layout, coerce, {gradient: true});\n    }\n\n    if(subTypes.hasText(traceOut)) {\n        handleTextDefaults(traceIn, traceOut, layout, coerce);\n    }\n\n    var dfltHoverOn = [];\n\n    if(subTypes.hasMarkers(traceOut) || subTypes.hasText(traceOut)) {\n        coerce('marker.maxdisplayed');\n        dfltHoverOn.push('points');\n    }\n\n    coerce('fill');\n    if(traceOut.fill !== 'none') {\n        handleFillColorDefaults(traceIn, traceOut, defaultColor, coerce);\n        if(!subTypes.hasLines(traceOut)) handleLineShapeDefaults(traceIn, traceOut, coerce);\n    }\n\n    if(traceOut.fill === 'tonext' || traceOut.fill === 'toself') {\n        dfltHoverOn.push('fills');\n    }\n    coerce('hoveron', dfltHoverOn.join('+') || 'points');\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\n},{\"../../lib\":696,\"../scatter/constants\":1048,\"../scatter/fillcolor_defaults\":1053,\"../scatter/line_defaults\":1057,\"../scatter/line_shape_defaults\":1059,\"../scatter/marker_defaults\":1063,\"../scatter/subtypes\":1068,\"../scatter/text_defaults\":1069,\"./attributes\":1077}],1080:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function eventData(out, pt, trace, cd, pointNumber) {\n    var cdi = cd[pointNumber];\n\n    out.a = cdi.a;\n    out.b = cdi.b;\n\n    return out;\n};\n\n},{}],1081:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar scatterHover = _dereq_('../scatter/hover');\n\nmodule.exports = function hoverPoints(pointData, xval, yval, hovermode) {\n    var scatterPointData = scatterHover(pointData, xval, yval, hovermode);\n    if(!scatterPointData || scatterPointData[0].index === false) return;\n\n    var newPointData = scatterPointData[0];\n\n    // if hovering on a fill, we don't show any point data so the label is\n    // unchanged from what scatter gives us - except that it needs to\n    // be constrained to the trianglular plot area, not just the rectangular\n    // area defined by the synthetic x and y axes\n    // TODO: in some cases the vertical middle of the shape is not within\n    // the triangular viewport at all, so the label can become disconnected\n    // from the shape entirely. But calculating what portion of the shape\n    // is actually visible, as constrained by the diagonal axis lines, is not\n    // so easy and anyway we lost the information we would have needed to do\n    // this inside scatterHover.\n    if(newPointData.index === undefined) {\n        var yFracUp = 1 - (newPointData.y0 / pointData.ya._length),\n            xLen = pointData.xa._length,\n            xMin = xLen * yFracUp / 2,\n            xMax = xLen - xMin;\n        newPointData.x0 = Math.max(Math.min(newPointData.x0, xMax), xMin);\n        newPointData.x1 = Math.max(Math.min(newPointData.x1, xMax), xMin);\n        return scatterPointData;\n    }\n\n    var cdi = newPointData.cd[newPointData.index];\n\n    newPointData.a = cdi.a;\n    newPointData.b = cdi.b;\n\n    newPointData.xLabelVal = undefined;\n    newPointData.yLabelVal = undefined;\n    // TODO: nice formatting, and label by axis title, for a, b, and c?\n\n    var trace = newPointData.trace;\n    var carpet = trace._carpet;\n    var hoverinfo = cdi.hi || trace.hoverinfo;\n    var parts = hoverinfo.split('+');\n    var text = [];\n\n    function textPart(ax, val) {\n        var prefix;\n\n        if(ax.labelprefix && ax.labelprefix.length > 0) {\n            prefix = ax.labelprefix.replace(/ = $/, '');\n        } else {\n            prefix = ax._hovertitle;\n        }\n\n        text.push(prefix + ': ' + val.toFixed(3) + ax.labelsuffix);\n    }\n\n    if(parts.indexOf('all') !== -1) parts = ['a', 'b'];\n    if(parts.indexOf('a') !== -1) textPart(carpet.aaxis, cdi.a);\n    if(parts.indexOf('b') !== -1) textPart(carpet.baxis, cdi.b);\n\n    var ij = carpet.ab2ij([cdi.a, cdi.b]);\n    var i0 = Math.floor(ij[0]);\n    var ti = ij[0] - i0;\n\n    var j0 = Math.floor(ij[1]);\n    var tj = ij[1] - j0;\n\n    var xy = carpet.evalxy([], i0, j0, ti, tj);\n    text.push('y: ' + xy[1].toFixed(3));\n\n    newPointData.extraText = text.join('<br>');\n\n    return scatterPointData;\n};\n\n},{\"../scatter/hover\":1055}],1082:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar ScatterCarpet = {};\n\nScatterCarpet.attributes = _dereq_('./attributes');\nScatterCarpet.supplyDefaults = _dereq_('./defaults');\nScatterCarpet.colorbar = _dereq_('../scatter/marker_colorbar');\nScatterCarpet.calc = _dereq_('./calc');\nScatterCarpet.plot = _dereq_('./plot');\nScatterCarpet.style = _dereq_('../scatter/style').style;\nScatterCarpet.styleOnSelect = _dereq_('../scatter/style').styleOnSelect;\nScatterCarpet.hoverPoints = _dereq_('./hover');\nScatterCarpet.selectPoints = _dereq_('../scatter/select');\nScatterCarpet.eventData = _dereq_('./event_data');\n\nScatterCarpet.moduleType = 'trace';\nScatterCarpet.name = 'scattercarpet';\nScatterCarpet.basePlotModule = _dereq_('../../plots/cartesian');\nScatterCarpet.categories = ['svg', 'carpet', 'symbols', 'showLegend', 'carpetDependent', 'zoomScale'];\nScatterCarpet.meta = {\n    \n    \n};\n\nmodule.exports = ScatterCarpet;\n\n},{\"../../plots/cartesian\":757,\"../scatter/marker_colorbar\":1062,\"../scatter/select\":1065,\"../scatter/style\":1067,\"./attributes\":1077,\"./calc\":1078,\"./defaults\":1079,\"./event_data\":1080,\"./hover\":1081,\"./plot\":1083}],1083:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar scatterPlot = _dereq_('../scatter/plot');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Drawing = _dereq_('../../components/drawing');\n\nmodule.exports = function plot(gd, plotinfoproxy, data, layer) {\n    var i, trace, node;\n\n    var carpet = data[0][0].carpet;\n    // mimic cartesian plotinfo\n    var plotinfo = {\n        xaxis: Axes.getFromId(gd, carpet.xaxis || 'x'),\n        yaxis: Axes.getFromId(gd, carpet.yaxis || 'y'),\n        plot: plotinfoproxy.plot,\n    };\n\n    scatterPlot(gd, plotinfo, data, layer);\n\n    for(i = 0; i < data.length; i++) {\n        trace = data[i][0].trace;\n\n        // Note: .select is adequate but seems to mutate the node data,\n        // which is at least a bit suprising and causes problems elsewhere\n        node = layer.selectAll('g.trace' + trace.uid + ' .js-line');\n\n        // Note: it would be more efficient if this didn't need to be applied\n        // separately to all scattercarpet traces, but that would require\n        // lots of reorganization of scatter traces that is otherwise not\n        // necessary. That makes this a potential optimization.\n        Drawing.setClipUrl(node, carpet._clipPathId);\n    }\n};\n\n},{\"../../components/drawing\":595,\"../../plots/cartesian/axes\":745,\"../scatter/plot\":1064}],1084:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar plotAttrs = _dereq_('../../plots/attributes');\nvar colorAttributes = _dereq_('../../components/colorscale/attributes');\nvar dash = _dereq_('../../components/drawing/attributes').dash;\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\nvar scatterMarkerAttrs = scatterAttrs.marker,\n    scatterLineAttrs = scatterAttrs.line,\n    scatterMarkerLineAttrs = scatterMarkerAttrs.line;\n\nmodule.exports = overrideAll({\n    lon: {\n        valType: 'data_array',\n        \n    },\n    lat: {\n        valType: 'data_array',\n        \n    },\n\n    locations: {\n        valType: 'data_array',\n        \n    },\n    locationmode: {\n        valType: 'enumerated',\n        values: ['ISO-3', 'USA-states', 'country names'],\n        \n        dflt: 'ISO-3',\n        \n    },\n\n    mode: extendFlat({}, scatterAttrs.mode, {dflt: 'markers'}),\n\n    text: extendFlat({}, scatterAttrs.text, {\n        \n    }),\n    hovertext: extendFlat({}, scatterAttrs.hovertext, {\n        \n    }),\n\n    textfont: scatterAttrs.textfont,\n    textposition: scatterAttrs.textposition,\n\n    line: {\n        color: scatterLineAttrs.color,\n        width: scatterLineAttrs.width,\n        dash: dash\n    },\n    connectgaps: scatterAttrs.connectgaps,\n\n    marker: extendFlat({\n        symbol: scatterMarkerAttrs.symbol,\n        opacity: scatterMarkerAttrs.opacity,\n        size: scatterMarkerAttrs.size,\n        sizeref: scatterMarkerAttrs.sizeref,\n        sizemin: scatterMarkerAttrs.sizemin,\n        sizemode: scatterMarkerAttrs.sizemode,\n        colorbar: scatterMarkerAttrs.colorbar,\n        line: extendFlat({\n            width: scatterMarkerLineAttrs.width\n        },\n            colorAttributes('marker.line')\n        ),\n        gradient: scatterMarkerAttrs.gradient\n    },\n        colorAttributes('marker')\n    ),\n\n    fill: {\n        valType: 'enumerated',\n        values: ['none', 'toself'],\n        dflt: 'none',\n        \n        \n    },\n    fillcolor: scatterAttrs.fillcolor,\n\n    selected: scatterAttrs.selected,\n    unselected: scatterAttrs.unselected,\n\n    hoverinfo: extendFlat({}, plotAttrs.hoverinfo, {\n        flags: ['lon', 'lat', 'location', 'text', 'name']\n    })\n}, 'calc', 'nested');\n\n},{\"../../components/colorscale/attributes\":577,\"../../components/drawing/attributes\":594,\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../../plots/attributes\":742,\"../scatter/attributes\":1044}],1085:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nvar calcMarkerColorscale = _dereq_('../scatter/colorscale_calc');\nvar arraysToCalcdata = _dereq_('../scatter/arrays_to_calcdata');\nvar calcSelection = _dereq_('../scatter/calc_selection');\n\nvar _ = _dereq_('../../lib')._;\n\nmodule.exports = function calc(gd, trace) {\n    var hasLocationData = Array.isArray(trace.locations);\n    var len = hasLocationData ? trace.locations.length : trace._length;\n    var calcTrace = new Array(len);\n\n    for(var i = 0; i < len; i++) {\n        var calcPt = calcTrace[i] = {};\n\n        if(hasLocationData) {\n            var loc = trace.locations[i];\n            calcPt.loc = typeof loc === 'string' ? loc : null;\n        } else {\n            var lon = trace.lon[i];\n            var lat = trace.lat[i];\n\n            if(isNumeric(lon) && isNumeric(lat)) calcPt.lonlat = [+lon, +lat];\n            else calcPt.lonlat = [BADNUM, BADNUM];\n        }\n    }\n\n    arraysToCalcdata(calcTrace, trace);\n    calcMarkerColorscale(trace);\n    calcSelection(calcTrace, trace);\n\n    if(len) {\n        calcTrace[0].t = {\n            labels: {\n                lat: _(gd, 'lat:') + ' ',\n                lon: _(gd, 'lon:') + ' '\n            }\n        };\n    }\n\n    return calcTrace;\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"../scatter/arrays_to_calcdata\":1043,\"../scatter/calc_selection\":1046,\"../scatter/colorscale_calc\":1047,\"fast-isnumeric\":214}],1086:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar subTypes = _dereq_('../scatter/subtypes');\nvar handleMarkerDefaults = _dereq_('../scatter/marker_defaults');\nvar handleLineDefaults = _dereq_('../scatter/line_defaults');\nvar handleTextDefaults = _dereq_('../scatter/text_defaults');\nvar handleFillColorDefaults = _dereq_('../scatter/fillcolor_defaults');\n\nvar attributes = _dereq_('./attributes');\n\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var len = handleLonLatLocDefaults(traceIn, traceOut, coerce);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('text');\n    coerce('hovertext');\n    coerce('mode');\n\n    if(subTypes.hasLines(traceOut)) {\n        handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n        coerce('connectgaps');\n    }\n\n    if(subTypes.hasMarkers(traceOut)) {\n        handleMarkerDefaults(traceIn, traceOut, defaultColor, layout, coerce, {gradient: true});\n    }\n\n    if(subTypes.hasText(traceOut)) {\n        handleTextDefaults(traceIn, traceOut, layout, coerce);\n    }\n\n    coerce('fill');\n    if(traceOut.fill !== 'none') {\n        handleFillColorDefaults(traceIn, traceOut, defaultColor, coerce);\n    }\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\nfunction handleLonLatLocDefaults(traceIn, traceOut, coerce) {\n    var len = 0,\n        locations = coerce('locations');\n\n    var lon, lat;\n\n    if(locations) {\n        coerce('locationmode');\n        len = locations.length;\n        return len;\n    }\n\n    lon = coerce('lon') || [];\n    lat = coerce('lat') || [];\n    len = Math.min(lon.length, lat.length);\n    traceOut._length = len;\n\n    return len;\n}\n\n},{\"../../lib\":696,\"../scatter/fillcolor_defaults\":1053,\"../scatter/line_defaults\":1057,\"../scatter/marker_defaults\":1063,\"../scatter/subtypes\":1068,\"../scatter/text_defaults\":1069,\"./attributes\":1084}],1087:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nmodule.exports = function eventData(out, pt) {\n    out.lon = pt.lon;\n    out.lat = pt.lat;\n    out.location = pt.loc ? pt.loc : null;\n\n    return out;\n};\n\n},{}],1088:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Fx = _dereq_('../../components/fx');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nvar getTraceColor = _dereq_('../scatter/get_trace_color');\nvar fillHoverText = _dereq_('../scatter/fill_hover_text');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function hoverPoints(pointData, xval, yval) {\n    var cd = pointData.cd;\n    var trace = cd[0].trace;\n    var xa = pointData.xa;\n    var ya = pointData.ya;\n    var geo = pointData.subplot;\n\n    var isLonLatOverEdges = geo.projection.isLonLatOverEdges;\n    var project = geo.project;\n\n    function distFn(d) {\n        var lonlat = d.lonlat;\n\n        if(lonlat[0] === BADNUM) return Infinity;\n        if(isLonLatOverEdges(lonlat)) return Infinity;\n\n        var pt = project(lonlat);\n        var px = project([xval, yval]);\n        var dx = Math.abs(pt[0] - px[0]);\n        var dy = Math.abs(pt[1] - px[1]);\n        var rad = Math.max(3, d.mrc || 0);\n\n        // N.B. d.mrc is the calculated marker radius\n        // which is only set for trace with 'markers' mode.\n\n        return Math.max(Math.sqrt(dx * dx + dy * dy) - rad, 1 - 3 / rad);\n    }\n\n    Fx.getClosest(cd, distFn, pointData);\n\n    // skip the rest (for this trace) if we didn't find a close point\n    if(pointData.index === false) return;\n\n    var di = cd[pointData.index];\n    var lonlat = di.lonlat;\n    var pos = [xa.c2p(lonlat), ya.c2p(lonlat)];\n    var rad = di.mrc || 1;\n\n    pointData.x0 = pos[0] - rad;\n    pointData.x1 = pos[0] + rad;\n    pointData.y0 = pos[1] - rad;\n    pointData.y1 = pos[1] + rad;\n\n    pointData.loc = di.loc;\n    pointData.lon = lonlat[0];\n    pointData.lat = lonlat[1];\n\n    pointData.color = getTraceColor(trace, di);\n    pointData.extraText = getExtraText(trace, di, geo.mockAxis, cd[0].t.labels);\n\n    return [pointData];\n};\n\nfunction getExtraText(trace, pt, axis, labels) {\n    var hoverinfo = pt.hi || trace.hoverinfo;\n\n    var parts = hoverinfo === 'all' ?\n        attributes.hoverinfo.flags :\n        hoverinfo.split('+');\n\n    var hasLocation = parts.indexOf('location') !== -1 && Array.isArray(trace.locations);\n    var hasLon = (parts.indexOf('lon') !== -1);\n    var hasLat = (parts.indexOf('lat') !== -1);\n    var hasText = (parts.indexOf('text') !== -1);\n    var text = [];\n\n    function format(val) {\n        return Axes.tickText(axis, axis.c2l(val), 'hover').text + '\\u00B0';\n    }\n\n    if(hasLocation) {\n        text.push(pt.loc);\n    } else if(hasLon && hasLat) {\n        text.push('(' + format(pt.lonlat[0]) + ', ' + format(pt.lonlat[1]) + ')');\n    } else if(hasLon) {\n        text.push(labels.lon + format(pt.lonlat[0]));\n    } else if(hasLat) {\n        text.push(labels.lat + format(pt.lonlat[1]));\n    }\n\n    if(hasText) {\n        fillHoverText(pt, trace, text);\n    }\n\n    return text.join('<br>');\n}\n\n},{\"../../components/fx\":612,\"../../constants/numerical\":673,\"../../plots/cartesian/axes\":745,\"../scatter/fill_hover_text\":1052,\"../scatter/get_trace_color\":1054,\"./attributes\":1084}],1089:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar ScatterGeo = {};\n\nScatterGeo.attributes = _dereq_('./attributes');\nScatterGeo.supplyDefaults = _dereq_('./defaults');\nScatterGeo.colorbar = _dereq_('../scatter/marker_colorbar');\nScatterGeo.calc = _dereq_('./calc');\nScatterGeo.plot = _dereq_('./plot');\nScatterGeo.style = _dereq_('./style');\nScatterGeo.styleOnSelect = _dereq_('../scatter/style').styleOnSelect;\nScatterGeo.hoverPoints = _dereq_('./hover');\nScatterGeo.eventData = _dereq_('./event_data');\nScatterGeo.selectPoints = _dereq_('./select');\n\nScatterGeo.moduleType = 'trace';\nScatterGeo.name = 'scattergeo';\nScatterGeo.basePlotModule = _dereq_('../../plots/geo');\nScatterGeo.categories = ['geo', 'symbols', 'showLegend', 'scatter-like'];\nScatterGeo.meta = {\n    \n    \n};\n\nmodule.exports = ScatterGeo;\n\n},{\"../../plots/geo\":776,\"../scatter/marker_colorbar\":1062,\"../scatter/style\":1067,\"./attributes\":1084,\"./calc\":1085,\"./defaults\":1086,\"./event_data\":1087,\"./hover\":1088,\"./plot\":1090,\"./select\":1091,\"./style\":1092}],1090:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar d3 = _dereq_('d3');\n\nvar Lib = _dereq_('../../lib');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\nvar getTopojsonFeatures = _dereq_('../../lib/topojson_utils').getTopojsonFeatures;\nvar locationToFeature = _dereq_('../../lib/geo_location_utils').locationToFeature;\nvar geoJsonUtils = _dereq_('../../lib/geojson_utils');\nvar subTypes = _dereq_('../scatter/subtypes');\nvar style = _dereq_('./style');\n\nmodule.exports = function plot(gd, geo, calcData) {\n    for(var i = 0; i < calcData.length; i++) {\n        calcGeoJSON(calcData[i], geo.topojson);\n    }\n\n    function removeBADNUM(d, node) {\n        if(d.lonlat[0] === BADNUM) {\n            d3.select(node).remove();\n        }\n    }\n\n    var scatterLayer = geo.layers.frontplot.select('.scatterlayer');\n    var gTraces = Lib.makeTraceGroups(scatterLayer, calcData, 'trace scattergeo');\n\n    // TODO find a way to order the inner nodes on update\n    gTraces.selectAll('*').remove();\n\n    gTraces.each(function(calcTrace) {\n        var s = calcTrace[0].node3 = d3.select(this);\n        var trace = calcTrace[0].trace;\n\n        if(subTypes.hasLines(trace) || trace.fill !== 'none') {\n            var lineCoords = geoJsonUtils.calcTraceToLineCoords(calcTrace);\n\n            var lineData = (trace.fill !== 'none') ?\n                geoJsonUtils.makePolygon(lineCoords) :\n                geoJsonUtils.makeLine(lineCoords);\n\n            s.selectAll('path.js-line')\n                .data([{geojson: lineData, trace: trace}])\n              .enter().append('path')\n                .classed('js-line', true)\n                .style('stroke-miterlimit', 2);\n        }\n\n        if(subTypes.hasMarkers(trace)) {\n            s.selectAll('path.point')\n                .data(Lib.identity)\n             .enter().append('path')\n                .classed('point', true)\n                .each(function(calcPt) { removeBADNUM(calcPt, this); });\n        }\n\n        if(subTypes.hasText(trace)) {\n            s.selectAll('g')\n                .data(Lib.identity)\n              .enter().append('g')\n                .append('text')\n                .each(function(calcPt) { removeBADNUM(calcPt, this); });\n        }\n\n        // call style here within topojson request callback\n        style(gd, calcTrace);\n    });\n};\n\nfunction calcGeoJSON(calcTrace, topojson) {\n    var trace = calcTrace[0].trace;\n\n    if(!Array.isArray(trace.locations)) return;\n\n    var features = getTopojsonFeatures(trace, topojson);\n    var locationmode = trace.locationmode;\n\n    for(var i = 0; i < calcTrace.length; i++) {\n        var calcPt = calcTrace[i];\n        var feature = locationToFeature(locationmode, calcPt.loc, features);\n\n        calcPt.lonlat = feature ? feature.properties.ct : [BADNUM, BADNUM];\n    }\n}\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"../../lib/geo_location_utils\":688,\"../../lib/geojson_utils\":689,\"../../lib/topojson_utils\":724,\"../scatter/subtypes\":1068,\"./style\":1092,\"d3\":148}],1091:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar subtypes = _dereq_('../scatter/subtypes');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nmodule.exports = function selectPoints(searchInfo, selectionTester) {\n    var cd = searchInfo.cd;\n    var xa = searchInfo.xaxis;\n    var ya = searchInfo.yaxis;\n    var selection = [];\n    var trace = cd[0].trace;\n\n    var di, lonlat, x, y, i;\n\n    var hasOnlyLines = (!subtypes.hasMarkers(trace) && !subtypes.hasText(trace));\n    if(hasOnlyLines) return [];\n\n    if(selectionTester === false) {\n        for(i = 0; i < cd.length; i++) {\n            cd[i].selected = 0;\n        }\n    } else {\n        for(i = 0; i < cd.length; i++) {\n            di = cd[i];\n            lonlat = di.lonlat;\n\n            // some projection types can't handle BADNUMs\n            if(lonlat[0] === BADNUM) continue;\n\n            x = xa.c2p(lonlat);\n            y = ya.c2p(lonlat);\n\n            if(selectionTester.contains([x, y], null, i, searchInfo)) {\n                selection.push({\n                    pointNumber: i,\n                    lon: lonlat[0],\n                    lat: lonlat[1]\n                });\n                di.selected = 1;\n            } else {\n                di.selected = 0;\n            }\n        }\n    }\n\n    return selection;\n};\n\n},{\"../../constants/numerical\":673,\"../scatter/subtypes\":1068}],1092:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Drawing = _dereq_('../../components/drawing');\nvar Color = _dereq_('../../components/color');\n\nvar scatterStyle = _dereq_('../scatter/style');\nvar stylePoints = scatterStyle.stylePoints;\nvar styleText = scatterStyle.styleText;\n\nmodule.exports = function style(gd, calcTrace) {\n    if(calcTrace) styleTrace(gd, calcTrace);\n};\n\nfunction styleTrace(gd, calcTrace) {\n    var trace = calcTrace[0].trace;\n    var s = calcTrace[0].node3;\n\n    s.style('opacity', calcTrace[0].trace.opacity);\n\n    stylePoints(s, trace, gd);\n    styleText(s, trace, gd);\n\n    // this part is incompatible with Drawing.lineGroupStyle\n    s.selectAll('path.js-line')\n        .style('fill', 'none')\n        .each(function(d) {\n            var path = d3.select(this);\n            var trace = d.trace;\n            var line = trace.line || {};\n\n            path.call(Color.stroke, line.color)\n                .call(Drawing.dashLine, line.dash || '', line.width || 0);\n\n            if(trace.fill !== 'none') {\n                path.call(Color.fill, trace.fillcolor);\n            }\n        });\n}\n\n},{\"../../components/color\":570,\"../../components/drawing\":595,\"../scatter/style\":1067,\"d3\":148}],1093:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar plotAttrs = _dereq_('../../plots/attributes');\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar colorAttrs = _dereq_('../../components/colorscale/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\nvar DASHES = _dereq_('./constants').DASHES;\n\nvar scatterLineAttrs = scatterAttrs.line;\nvar scatterMarkerAttrs = scatterAttrs.marker;\nvar scatterMarkerLineAttrs = scatterMarkerAttrs.line;\n\nvar attrs = module.exports = overrideAll({\n    x: scatterAttrs.x,\n    x0: scatterAttrs.x0,\n    dx: scatterAttrs.dx,\n    y: scatterAttrs.y,\n    y0: scatterAttrs.y0,\n    dy: scatterAttrs.dy,\n\n    text: scatterAttrs.text,\n    hovertext: scatterAttrs.hovertext,\n\n    textposition: scatterAttrs.textposition,\n    textfont: scatterAttrs.textfont,\n\n    mode: {\n        valType: 'flaglist',\n        flags: ['lines', 'markers', 'text'],\n        extras: ['none'],\n        \n        \n    },\n    line: {\n        color: scatterLineAttrs.color,\n        width: scatterLineAttrs.width,\n        shape: {\n            valType: 'enumerated',\n            values: ['linear', 'hv', 'vh', 'hvh', 'vhv'],\n            dflt: 'linear',\n            \n            editType: 'plot',\n            \n        },\n        dash: {\n            valType: 'enumerated',\n            values: Object.keys(DASHES),\n            dflt: 'solid',\n            \n            \n        }\n    },\n    marker: extendFlat({}, colorAttrs('marker'), {\n        symbol: scatterMarkerAttrs.symbol,\n        size: scatterMarkerAttrs.size,\n        sizeref: scatterMarkerAttrs.sizeref,\n        sizemin: scatterMarkerAttrs.sizemin,\n        sizemode: scatterMarkerAttrs.sizemode,\n        opacity: scatterMarkerAttrs.opacity,\n        colorbar: scatterMarkerAttrs.colorbar,\n        line: extendFlat({}, colorAttrs('marker.line'), {\n            width: scatterMarkerLineAttrs.width\n        })\n    }),\n    connectgaps: scatterAttrs.connectgaps,\n    fill: extendFlat({}, scatterAttrs.fill, {dflt: 'none'}),\n    fillcolor: scatterAttrs.fillcolor,\n\n    // no hoveron\n\n    selected: {\n        marker: scatterAttrs.selected.marker,\n        textfont: scatterAttrs.selected.textfont\n    },\n    unselected: {\n        marker: scatterAttrs.unselected.marker,\n        textfont: scatterAttrs.unselected.textfont\n    },\n\n    opacity: plotAttrs.opacity\n\n}, 'calc', 'nested');\n\nattrs.x.editType = attrs.y.editType = attrs.x0.editType = attrs.y0.editType = 'calc+clearAxisTypes';\n\n},{\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../../plots/attributes\":742,\"../scatter/attributes\":1044,\"./constants\":1094}],1094:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar SYMBOL_SIZE = 20;\n\nmodule.exports = {\n    TOO_MANY_POINTS: 1e5,\n\n    SYMBOL_SDF_SIZE: 200,\n    SYMBOL_SIZE: SYMBOL_SIZE,\n    SYMBOL_STROKE: SYMBOL_SIZE / 20,\n\n    DOT_RE: /-dot/,\n    OPEN_RE: /-open/,\n\n    DASHES: {\n        solid: [1],\n        dot: [1, 1],\n        dash: [4, 1],\n        longdash: [8, 1],\n        dashdot: [4, 1, 1, 1],\n        longdashdot: [8, 1, 1, 1]\n    }\n};\n\n},{}],1095:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar svgSdf = _dereq_('svg-path-sdf');\nvar rgba = _dereq_('color-normalize');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar Drawing = _dereq_('../../components/drawing');\nvar AxisIDs = _dereq_('../../plots/cartesian/axis_ids');\n\nvar formatColor = _dereq_('../../lib/gl_format_color').formatColor;\nvar subTypes = _dereq_('../scatter/subtypes');\nvar makeBubbleSizeFn = _dereq_('../scatter/make_bubble_size_func');\n\nvar constants = _dereq_('./constants');\nvar DESELECTDIM = _dereq_('../../constants/interactions').DESELECTDIM;\n\nvar TEXTOFFSETSIGN = {\n    start: 1, left: 1, end: -1, right: -1, middle: 0, center: 0, bottom: 1, top: -1\n};\n\nfunction convertStyle(gd, trace) {\n    var i;\n\n    var opts = {\n        marker: undefined,\n        markerSel: undefined,\n        markerUnsel: undefined,\n        line: undefined,\n        fill: undefined,\n        errorX: undefined,\n        errorY: undefined,\n        text: undefined,\n        textSel: undefined,\n        textUnsel: undefined\n    };\n\n    if(trace.visible !== true) return opts;\n\n    if(subTypes.hasText(trace)) {\n        opts.text = convertTextStyle(trace);\n        opts.textSel = convertTextSelection(trace, trace.selected);\n        opts.textUnsel = convertTextSelection(trace, trace.unselected);\n    }\n\n    if(subTypes.hasMarkers(trace)) {\n        opts.marker = convertMarkerStyle(trace);\n        opts.markerSel = convertMarkerSelection(trace, trace.selected);\n        opts.markerUnsel = convertMarkerSelection(trace, trace.unselected);\n\n        if(!trace.unselected && Array.isArray(trace.marker.opacity)) {\n            var mo = trace.marker.opacity;\n            opts.markerUnsel.opacity = new Array(mo.length);\n            for(i = 0; i < mo.length; i++) {\n                opts.markerUnsel.opacity[i] = DESELECTDIM * mo[i];\n            }\n        }\n    }\n\n    if(subTypes.hasLines(trace)) {\n        opts.line = {\n            overlay: true,\n            thickness: trace.line.width,\n            color: trace.line.color,\n            opacity: trace.opacity\n        };\n\n        var dashes = (constants.DASHES[trace.line.dash] || [1]).slice();\n        for(i = 0; i < dashes.length; ++i) {\n            dashes[i] *= trace.line.width;\n        }\n        opts.line.dashes = dashes;\n    }\n\n    if(trace.error_x && trace.error_x.visible) {\n        opts.errorX = convertErrorBarStyle(trace, trace.error_x);\n    }\n\n    if(trace.error_y && trace.error_y.visible) {\n        opts.errorY = convertErrorBarStyle(trace, trace.error_y);\n    }\n\n    if(!!trace.fill && trace.fill !== 'none') {\n        opts.fill = {\n            closed: true,\n            fill: trace.fillcolor,\n            thickness: 0\n        };\n    }\n\n    return opts;\n}\n\nfunction convertTextStyle(trace) {\n    var count = trace._length;\n    var textfontIn = trace.textfont;\n    var textpositionIn = trace.textposition;\n    var textPos = Array.isArray(textpositionIn) ? textpositionIn : [textpositionIn];\n    var tfc = textfontIn.color;\n    var tfs = textfontIn.size;\n    var tff = textfontIn.family;\n    var optsOut = {};\n    var i;\n\n    optsOut.text = trace.text;\n    optsOut.opacity = trace.opacity;\n    optsOut.font = {};\n    optsOut.align = [];\n    optsOut.baseline = [];\n\n    for(i = 0; i < textPos.length; i++) {\n        var tp = textPos[i].split(/\\s+/);\n\n        switch(tp[1]) {\n            case 'left':\n                optsOut.align.push('right');\n                break;\n            case 'right':\n                optsOut.align.push('left');\n                break;\n            default:\n                optsOut.align.push(tp[1]);\n        }\n        switch(tp[0]) {\n            case 'top':\n                optsOut.baseline.push('bottom');\n                break;\n            case 'bottom':\n                optsOut.baseline.push('top');\n                break;\n            default:\n                optsOut.baseline.push(tp[0]);\n        }\n    }\n\n    if(Array.isArray(tfc)) {\n        optsOut.color = new Array(count);\n        for(i = 0; i < count; i++) {\n            optsOut.color[i] = tfc[i];\n        }\n    } else {\n        optsOut.color = tfc;\n    }\n\n    if(Array.isArray(tfs) || Array.isArray(tff)) {\n        // if any textfont param is array - make render a batch\n        optsOut.font = new Array(count);\n        for(i = 0; i < count; i++) {\n            var fonti = optsOut.font[i] = {};\n\n            fonti.size = Array.isArray(tfs) ?\n                (isNumeric(tfs[i]) ? tfs[i] : 0) :\n                tfs;\n\n            fonti.family = Array.isArray(tff) ? tff[i] : tff;\n        }\n    } else {\n        // if both are single values, make render fast single-value\n        optsOut.font = {size: tfs, family: tff};\n    }\n\n    return optsOut;\n}\n\n\nfunction convertMarkerStyle(trace) {\n    var count = trace._length;\n    var optsIn = trace.marker;\n    var optsOut = {};\n    var i;\n\n    var multiSymbol = Array.isArray(optsIn.symbol);\n    var multiColor = Lib.isArrayOrTypedArray(optsIn.color);\n    var multiLineColor = Lib.isArrayOrTypedArray(optsIn.line.color);\n    var multiOpacity = Lib.isArrayOrTypedArray(optsIn.opacity);\n    var multiSize = Lib.isArrayOrTypedArray(optsIn.size);\n    var multiLineWidth = Lib.isArrayOrTypedArray(optsIn.line.width);\n\n    var isOpen;\n    if(!multiSymbol) isOpen = constants.OPEN_RE.test(optsIn.symbol);\n\n    // prepare colors\n    if(multiSymbol || multiColor || multiLineColor || multiOpacity) {\n        optsOut.colors = new Array(count);\n        optsOut.borderColors = new Array(count);\n\n        var colors = formatColor(optsIn, optsIn.opacity, count);\n        var borderColors = formatColor(optsIn.line, optsIn.opacity, count);\n\n        if(!Array.isArray(borderColors[0])) {\n            var borderColor = borderColors;\n            borderColors = Array(count);\n            for(i = 0; i < count; i++) {\n                borderColors[i] = borderColor;\n            }\n        }\n        if(!Array.isArray(colors[0])) {\n            var color = colors;\n            colors = Array(count);\n            for(i = 0; i < count; i++) {\n                colors[i] = color;\n            }\n        }\n\n        optsOut.colors = colors;\n        optsOut.borderColors = borderColors;\n\n        for(i = 0; i < count; i++) {\n            if(multiSymbol) {\n                var symbol = optsIn.symbol[i];\n                isOpen = constants.OPEN_RE.test(symbol);\n            }\n            if(isOpen) {\n                borderColors[i] = colors[i].slice();\n                colors[i] = colors[i].slice();\n                colors[i][3] = 0;\n            }\n        }\n\n        optsOut.opacity = trace.opacity;\n    } else {\n        if(isOpen) {\n            optsOut.color = rgba(optsIn.color, 'uint8');\n            optsOut.color[3] = 0;\n            optsOut.borderColor = rgba(optsIn.color, 'uint8');\n        } else {\n            optsOut.color = rgba(optsIn.color, 'uint8');\n            optsOut.borderColor = rgba(optsIn.line.color, 'uint8');\n        }\n\n        optsOut.opacity = trace.opacity * optsIn.opacity;\n    }\n\n    // prepare symbols\n    if(multiSymbol) {\n        optsOut.markers = new Array(count);\n        for(i = 0; i < count; i++) {\n            optsOut.markers[i] = getSymbolSdf(optsIn.symbol[i]);\n        }\n    } else {\n        optsOut.marker = getSymbolSdf(optsIn.symbol);\n    }\n\n    // prepare sizes\n    var markerSizeFunc = makeBubbleSizeFn(trace);\n    var s;\n\n    if(multiSize || multiLineWidth) {\n        var sizes = optsOut.sizes = new Array(count);\n        var borderSizes = optsOut.borderSizes = new Array(count);\n        var sizeTotal = 0;\n        var sizeAvg;\n\n        if(multiSize) {\n            for(i = 0; i < count; i++) {\n                sizes[i] = markerSizeFunc(optsIn.size[i]);\n                sizeTotal += sizes[i];\n            }\n            sizeAvg = sizeTotal / count;\n        } else {\n            s = markerSizeFunc(optsIn.size);\n            for(i = 0; i < count; i++) {\n                sizes[i] = s;\n            }\n        }\n\n        // See  https://github.com/plotly/plotly.js/pull/1781#discussion_r121820798\n        if(multiLineWidth) {\n            for(i = 0; i < count; i++) {\n                borderSizes[i] = optsIn.line.width[i] / 2;\n            }\n        } else {\n            s = optsIn.line.width / 2;\n            for(i = 0; i < count; i++) {\n                borderSizes[i] = s;\n            }\n        }\n\n        optsOut.sizeAvg = sizeAvg;\n    } else {\n        optsOut.size = markerSizeFunc(optsIn && optsIn.size || 10);\n        optsOut.borderSizes = markerSizeFunc(optsIn.line.width);\n    }\n\n    return optsOut;\n}\n\nfunction convertMarkerSelection(trace, target) {\n    var optsIn = trace.marker;\n    var optsOut = {};\n\n    if(!target) return optsOut;\n\n    if(target.marker && target.marker.symbol) {\n        optsOut = convertMarkerStyle(Lib.extendFlat({}, optsIn, target.marker));\n    } else if(target.marker) {\n        if(target.marker.size) optsOut.size = target.marker.size / 2;\n        if(target.marker.color) optsOut.colors = target.marker.color;\n        if(target.marker.opacity !== undefined) optsOut.opacity = target.marker.opacity;\n    }\n\n    return optsOut;\n}\n\nfunction convertTextSelection(trace, target) {\n    var optsOut = {};\n\n    if(!target) return optsOut;\n\n    if(target.textfont) {\n        var optsIn = {\n            opacity: 1,\n            text: trace.text,\n            textposition: trace.textposition,\n            textfont: Lib.extendFlat({}, trace.textfont)\n        };\n        if(target.textfont) {\n            Lib.extendFlat(optsIn.textfont, target.textfont);\n        }\n        optsOut = convertTextStyle(optsIn);\n    }\n\n    return optsOut;\n}\n\nfunction convertErrorBarStyle(trace, target) {\n    var optsOut = {\n        capSize: target.width * 2,\n        lineWidth: target.thickness,\n        color: target.color\n    };\n\n    if(target.copy_ystyle) {\n        optsOut = trace.error_y;\n    }\n\n    return optsOut;\n}\n\nvar SYMBOL_SDF_SIZE = constants.SYMBOL_SDF_SIZE;\nvar SYMBOL_SIZE = constants.SYMBOL_SIZE;\nvar SYMBOL_STROKE = constants.SYMBOL_STROKE;\nvar SYMBOL_SDF = {};\nvar SYMBOL_SVG_CIRCLE = Drawing.symbolFuncs[0](SYMBOL_SIZE * 0.05);\n\nfunction getSymbolSdf(symbol) {\n    if(symbol === 'circle') return null;\n\n    var symbolPath, symbolSdf;\n    var symbolNumber = Drawing.symbolNumber(symbol);\n    var symbolFunc = Drawing.symbolFuncs[symbolNumber % 100];\n    var symbolNoDot = !!Drawing.symbolNoDot[symbolNumber % 100];\n    var symbolNoFill = !!Drawing.symbolNoFill[symbolNumber % 100];\n\n    var isDot = constants.DOT_RE.test(symbol);\n\n    // get symbol sdf from cache or generate it\n    if(SYMBOL_SDF[symbol]) return SYMBOL_SDF[symbol];\n\n    if(isDot && !symbolNoDot) {\n        symbolPath = symbolFunc(SYMBOL_SIZE * 1.1) + SYMBOL_SVG_CIRCLE;\n    }\n    else {\n        symbolPath = symbolFunc(SYMBOL_SIZE);\n    }\n\n    symbolSdf = svgSdf(symbolPath, {\n        w: SYMBOL_SDF_SIZE,\n        h: SYMBOL_SDF_SIZE,\n        viewBox: [-SYMBOL_SIZE, -SYMBOL_SIZE, SYMBOL_SIZE, SYMBOL_SIZE],\n        stroke: symbolNoFill ? SYMBOL_STROKE : -SYMBOL_STROKE\n    });\n    SYMBOL_SDF[symbol] = symbolSdf;\n\n    return symbolSdf || null;\n}\n\nfunction convertLinePositions(gd, trace, positions) {\n    var len = positions.length;\n    var count = len / 2;\n    var linePositions;\n    var i;\n\n    if(subTypes.hasLines(trace) && count) {\n        if(trace.line.shape === 'hv') {\n            linePositions = [];\n            for(i = 0; i < count - 1; i++) {\n                if(isNaN(positions[i * 2]) || isNaN(positions[i * 2 + 1])) {\n                    linePositions.push(NaN, NaN, NaN, NaN);\n                } else {\n                    linePositions.push(positions[i * 2], positions[i * 2 + 1]);\n                    if(!isNaN(positions[i * 2 + 2]) && !isNaN(positions[i * 2 + 3])) {\n                        linePositions.push(positions[i * 2 + 2], positions[i * 2 + 1]);\n                    } else {\n                        linePositions.push(NaN, NaN);\n                    }\n                }\n            }\n            linePositions.push(positions[len - 2], positions[len - 1]);\n        } else if(trace.line.shape === 'hvh') {\n            linePositions = [];\n            for(i = 0; i < count - 1; i++) {\n                if(isNaN(positions[i * 2]) || isNaN(positions[i * 2 + 1]) || isNaN(positions[i * 2 + 2]) || isNaN(positions[i * 2 + 3])) {\n                    if(!isNaN(positions[i * 2]) && !isNaN(positions[i * 2 + 1])) {\n                        linePositions.push(positions[i * 2], positions[i * 2 + 1]);\n                    } else {\n                        linePositions.push(NaN, NaN);\n                    }\n                    linePositions.push(NaN, NaN);\n                }\n                else {\n                    var midPtX = (positions[i * 2] + positions[i * 2 + 2]) / 2;\n                    linePositions.push(\n                        positions[i * 2],\n                        positions[i * 2 + 1],\n                        midPtX,\n                        positions[i * 2 + 1],\n                        midPtX,\n                        positions[i * 2 + 3]\n                    );\n                }\n            }\n            linePositions.push(positions[len - 2], positions[len - 1]);\n        } else if(trace.line.shape === 'vhv') {\n            linePositions = [];\n            for(i = 0; i < count - 1; i++) {\n                if(isNaN(positions[i * 2]) || isNaN(positions[i * 2 + 1]) || isNaN(positions[i * 2 + 2]) || isNaN(positions[i * 2 + 3])) {\n                    if(!isNaN(positions[i * 2]) && !isNaN(positions[i * 2 + 1])) {\n                        linePositions.push(positions[i * 2], positions[i * 2 + 1]);\n                    } else {\n                        linePositions.push(NaN, NaN);\n                    }\n                    linePositions.push(NaN, NaN);\n                }\n                else {\n                    var midPtY = (positions[i * 2 + 1] + positions[i * 2 + 3]) / 2;\n                    linePositions.push(\n                        positions[i * 2],\n                        positions[i * 2 + 1],\n                        positions[i * 2],\n                        midPtY,\n                        positions[i * 2 + 2],\n                        midPtY\n                    );\n                }\n            }\n            linePositions.push(positions[len - 2], positions[len - 1]);\n        } else if(trace.line.shape === 'vh') {\n            linePositions = [];\n            for(i = 0; i < count - 1; i++) {\n                if(isNaN(positions[i * 2]) || isNaN(positions[i * 2 + 1])) {\n                    linePositions.push(NaN, NaN, NaN, NaN);\n                }\n                else {\n                    linePositions.push(positions[i * 2], positions[i * 2 + 1]);\n                    if(!isNaN(positions[i * 2 + 2]) && !isNaN(positions[i * 2 + 3])) {\n                        linePositions.push(positions[i * 2], positions[i * 2 + 3]);\n                    } else {\n                        linePositions.push(NaN, NaN);\n                    }\n                }\n            }\n            linePositions.push(positions[len - 2], positions[len - 1]);\n        } else {\n            linePositions = positions;\n        }\n    }\n\n    // If we have data with gaps, we ought to use rect joins\n    // FIXME: get rid of this\n    var hasNaN = false;\n    for(i = 0; i < linePositions.length; i++) {\n        if(isNaN(linePositions[i])) {\n            hasNaN = true;\n            break;\n        }\n    }\n\n    var join = (hasNaN || linePositions.length > constants.TOO_MANY_POINTS) ? 'rect' :\n        subTypes.hasMarkers(trace) ? 'rect' : 'round';\n\n    // fill gaps\n    if(hasNaN && trace.connectgaps) {\n        var lastX = linePositions[0];\n        var lastY = linePositions[1];\n\n        for(i = 0; i < linePositions.length; i += 2) {\n            if(isNaN(linePositions[i]) || isNaN(linePositions[i + 1])) {\n                linePositions[i] = lastX;\n                linePositions[i + 1] = lastY;\n            }\n            else {\n                lastX = linePositions[i];\n                lastY = linePositions[i + 1];\n            }\n        }\n    }\n\n    return {\n        join: join,\n        positions: linePositions\n    };\n}\n\nfunction convertErrorBarPositions(gd, trace, positions, x, y) {\n    var makeComputeError = Registry.getComponentMethod('errorbars', 'makeComputeError');\n    var xa = AxisIDs.getFromId(gd, trace.xaxis);\n    var ya = AxisIDs.getFromId(gd, trace.yaxis);\n    var count = positions.length / 2;\n    var out = {};\n\n    function convertOneAxis(coords, ax) {\n        var axLetter = ax._id.charAt(0);\n        var opts = trace['error_' + axLetter];\n\n        if(opts && opts.visible && (ax.type === 'linear' || ax.type === 'log')) {\n            var computeError = makeComputeError(opts);\n            var pOffset = {x: 0, y: 1}[axLetter];\n            var eOffset = {x: [0, 1, 2, 3], y: [2, 3, 0, 1]}[axLetter];\n            var errors = new Float64Array(4 * count);\n            var minShoe = Infinity;\n            var maxHat = -Infinity;\n\n            for(var i = 0, j = 0; i < count; i++, j += 4) {\n                var dc = coords[i];\n\n                if(isNumeric(dc)) {\n                    var dl = positions[i * 2 + pOffset];\n                    var vals = computeError(dc, i);\n                    var lv = vals[0];\n                    var hv = vals[1];\n\n                    if(isNumeric(lv) && isNumeric(hv)) {\n                        var shoe = dc - lv;\n                        var hat = dc + hv;\n\n                        errors[j + eOffset[0]] = dl - ax.c2l(shoe);\n                        errors[j + eOffset[1]] = ax.c2l(hat) - dl;\n                        errors[j + eOffset[2]] = 0;\n                        errors[j + eOffset[3]] = 0;\n\n                        minShoe = Math.min(minShoe, dc - lv);\n                        maxHat = Math.max(maxHat, dc + hv);\n                    }\n                }\n            }\n\n            out[axLetter] = {\n                positions: positions,\n                errors: errors,\n                _bnds: [minShoe, maxHat]\n            };\n        }\n    }\n\n    convertOneAxis(x, xa);\n    convertOneAxis(y, ya);\n    return out;\n}\n\nfunction convertTextPosition(gd, trace, textOpts, markerOpts) {\n    var count = trace._length;\n    var out = {};\n    var i;\n\n    // corresponds to textPointPosition from component.drawing\n    if(subTypes.hasMarkers(trace)) {\n        var fontOpts = textOpts.font;\n        var align = textOpts.align;\n        var baseline = textOpts.baseline;\n        out.offset = new Array(count);\n\n        for(i = 0; i < count; i++) {\n            var ms = markerOpts.sizes ? markerOpts.sizes[i] : markerOpts.size;\n            var fs = Array.isArray(fontOpts) ? fontOpts[i].size : fontOpts.size;\n\n            var a = Array.isArray(align) ?\n                (align.length > 1 ? align[i] : align[0]) :\n                align;\n            var b = Array.isArray(baseline) ?\n                (baseline.length > 1 ? baseline[i] : baseline[0]) :\n                baseline;\n\n            var hSign = TEXTOFFSETSIGN[a];\n            var vSign = TEXTOFFSETSIGN[b];\n            var xPad = ms ? ms / 0.8 + 1 : 0;\n            var yPad = -vSign * xPad - vSign * 0.5;\n            out.offset[i] = [hSign * xPad / fs, yPad / fs];\n        }\n    }\n\n    return out;\n}\n\nmodule.exports = {\n    style: convertStyle,\n\n    markerStyle: convertMarkerStyle,\n    markerSelection: convertMarkerSelection,\n\n    linePositions: convertLinePositions,\n    errorBarPositions: convertErrorBarPositions,\n    textPosition: convertTextPosition\n};\n\n},{\"../../components/drawing\":595,\"../../constants/interactions\":672,\"../../lib\":696,\"../../lib/gl_format_color\":692,\"../../plots/cartesian/axis_ids\":748,\"../../registry\":828,\"../scatter/make_bubble_size_func\":1061,\"../scatter/subtypes\":1068,\"./constants\":1094,\"color-normalize\":108,\"fast-isnumeric\":214,\"svg-path-sdf\":512}],1096:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Registry = _dereq_('../../registry');\n\nvar attributes = _dereq_('./attributes');\nvar constants = _dereq_('../scatter/constants');\nvar subTypes = _dereq_('../scatter/subtypes');\nvar handleXYDefaults = _dereq_('../scatter/xy_defaults');\nvar handleMarkerDefaults = _dereq_('../scatter/marker_defaults');\nvar handleLineDefaults = _dereq_('../scatter/line_defaults');\nvar handleFillColorDefaults = _dereq_('../scatter/fillcolor_defaults');\nvar handleTextDefaults = _dereq_('../scatter/text_defaults');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var isOpen = traceIn.marker ? /-open/.test(traceIn.marker.symbol) : false;\n    var isBubble = subTypes.isBubble(traceIn);\n\n    var len = handleXYDefaults(traceIn, traceOut, layout, coerce);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n    var defaultMode = len < constants.PTS_LINESONLY ? 'lines+markers' : 'lines';\n\n    coerce('text');\n    coerce('hovertext');\n    coerce('mode', defaultMode);\n\n    if(subTypes.hasLines(traceOut)) {\n        coerce('connectgaps');\n        handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n        coerce('line.shape');\n    }\n\n    if(subTypes.hasMarkers(traceOut)) {\n        handleMarkerDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n        coerce('marker.line.width', isOpen || isBubble ? 1 : 0);\n    }\n\n    if(subTypes.hasText(traceOut)) {\n        handleTextDefaults(traceIn, traceOut, layout, coerce);\n    }\n\n    coerce('fill');\n    if(traceOut.fill !== 'none') {\n        handleFillColorDefaults(traceIn, traceOut, defaultColor, coerce);\n    }\n\n    var errorBarsSupplyDefaults = Registry.getComponentMethod('errorbars', 'supplyDefaults');\n    errorBarsSupplyDefaults(traceIn, traceOut, defaultColor, {axis: 'y'});\n    errorBarsSupplyDefaults(traceIn, traceOut, defaultColor, {axis: 'x', inherit: 'y'});\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\n},{\"../../lib\":696,\"../../registry\":828,\"../scatter/constants\":1048,\"../scatter/fillcolor_defaults\":1053,\"../scatter/line_defaults\":1057,\"../scatter/marker_defaults\":1063,\"../scatter/subtypes\":1068,\"../scatter/text_defaults\":1069,\"../scatter/xy_defaults\":1070,\"./attributes\":1093}],1097:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar createScatter = _dereq_('regl-scatter2d');\nvar createLine = _dereq_('regl-line2d');\nvar createError = _dereq_('regl-error2d');\nvar cluster = _dereq_('point-cluster');\nvar arrayRange = _dereq_('array-range');\nvar Text = _dereq_('gl-text');\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\nvar prepareRegl = _dereq_('../../lib/prepare_regl');\nvar AxisIDs = _dereq_('../../plots/cartesian/axis_ids');\nvar findExtremes = _dereq_('../../plots/cartesian/autorange').findExtremes;\nvar Color = _dereq_('../../components/color');\n\nvar subTypes = _dereq_('../scatter/subtypes');\nvar scatterCalc = _dereq_('../scatter/calc');\nvar calcMarkerSize = scatterCalc.calcMarkerSize;\nvar calcAxisExpansion = scatterCalc.calcAxisExpansion;\nvar setFirstScatter = scatterCalc.setFirstScatter;\nvar calcColorscales = _dereq_('../scatter/colorscale_calc');\nvar linkTraces = _dereq_('../scatter/link_traces');\nvar getTraceColor = _dereq_('../scatter/get_trace_color');\nvar fillHoverText = _dereq_('../scatter/fill_hover_text');\nvar convert = _dereq_('./convert');\n\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\nvar TOO_MANY_POINTS = _dereq_('./constants').TOO_MANY_POINTS;\nvar DESELECTDIM = _dereq_('../../constants/interactions').DESELECTDIM;\n\nfunction calc(gd, trace) {\n    var fullLayout = gd._fullLayout;\n    var xa = AxisIDs.getFromId(gd, trace.xaxis);\n    var ya = AxisIDs.getFromId(gd, trace.yaxis);\n    var subplot = fullLayout._plots[trace.xaxis + trace.yaxis];\n    var len = trace._length;\n    var len2 = len * 2;\n    var stash = {};\n    var i, xx, yy;\n\n    var x = xa.makeCalcdata(trace, 'x');\n    var y = ya.makeCalcdata(trace, 'y');\n\n    // we need hi-precision for scatter2d,\n    // regl-scatter2d uses NaNs for bad/missing values\n    var positions = new Array(len2);\n    for(i = 0; i < len; i++) {\n        xx = x[i];\n        yy = y[i];\n        positions[i * 2] = xx === BADNUM ? NaN : xx;\n        positions[i * 2 + 1] = yy === BADNUM ? NaN : yy;\n    }\n\n    if(xa.type === 'log') {\n        for(i = 0; i < len2; i += 2) {\n            positions[i] = xa.c2l(positions[i]);\n        }\n    }\n    if(ya.type === 'log') {\n        for(i = 1; i < len2; i += 2) {\n            positions[i] = ya.c2l(positions[i]);\n        }\n    }\n\n    // we don't build a tree for log axes since it takes long to convert log2px\n    // and it is also\n    if(xa.type !== 'log' && ya.type !== 'log') {\n        // FIXME: delegate this to webworker\n        stash.tree = cluster(positions);\n    } else {\n        var ids = stash.ids = new Array(len);\n        for(i = 0; i < len; i++) {\n            ids[i] = i;\n        }\n    }\n\n    // create scene options and scene\n    calcColorscales(trace);\n    var opts = sceneOptions(gd, subplot, trace, positions, x, y);\n    var scene = sceneUpdate(gd, subplot);\n\n    // Reuse SVG scatter axis expansion routine.\n    // For graphs with very large number of points and array marker.size,\n    // use average marker size instead to speed things up.\n    setFirstScatter(fullLayout, trace);\n    var ppad = len < TOO_MANY_POINTS ?\n        calcMarkerSize(trace, len) :\n        2 * (opts.marker.sizeAvg || Math.max(opts.marker.size, 3));\n    calcAxisExpansion(gd, trace, xa, ya, x, y, ppad);\n    if(opts.errorX) expandForErrorBars(trace, xa, opts.errorX);\n    if(opts.errorY) expandForErrorBars(trace, ya, opts.errorY);\n\n    // set flags to create scene renderers\n    if(opts.fill && !scene.fill2d) scene.fill2d = true;\n    if(opts.marker && !scene.scatter2d) scene.scatter2d = true;\n    if(opts.line && !scene.line2d) scene.line2d = true;\n    if((opts.errorX || opts.errorY) && !scene.error2d) scene.error2d = true;\n    if(opts.text && !scene.glText) scene.glText = true;\n\n    // FIXME: organize it in a more appropriate manner, probably in sceneOptions\n    // put point-cluster instance for optimized regl calc\n    if(opts.marker && len >= TOO_MANY_POINTS) {\n        opts.marker.cluster = stash.tree;\n    }\n\n    // save scene opts batch\n    scene.lineOptions.push(opts.line);\n    scene.errorXOptions.push(opts.errorX);\n    scene.errorYOptions.push(opts.errorY);\n    scene.fillOptions.push(opts.fill);\n    scene.markerOptions.push(opts.marker);\n    scene.markerSelectedOptions.push(opts.markerSel);\n    scene.markerUnselectedOptions.push(opts.markerUnsel);\n    scene.textOptions.push(opts.text);\n    scene.textSelectedOptions.push(opts.textSel);\n    scene.textUnselectedOptions.push(opts.textUnsel);\n\n    // stash scene ref\n    stash._scene = scene;\n    stash.index = scene.count;\n    stash.x = x;\n    stash.y = y;\n    stash.positions = positions;\n    scene.count++;\n\n    return [{x: false, y: false, t: stash, trace: trace}];\n}\n\nfunction expandForErrorBars(trace, ax, opts) {\n    var extremes = trace._extremes[ax._id];\n    var errExt = findExtremes(ax, opts._bnds, {padded: true});\n    extremes.min = extremes.min.concat(errExt.min);\n    extremes.max = extremes.max.concat(errExt.max);\n}\n\n// create scene options\nfunction sceneOptions(gd, subplot, trace, positions, x, y) {\n    var opts = convert.style(gd, trace);\n\n    if(opts.marker) {\n        opts.marker.positions = positions;\n    }\n\n    if(opts.line && positions.length > 1) {\n        Lib.extendFlat(\n            opts.line,\n            convert.linePositions(gd, trace, positions)\n        );\n    }\n\n    if(opts.errorX || opts.errorY) {\n        var errors = convert.errorBarPositions(gd, trace, positions, x, y);\n\n        if(opts.errorX) {\n            Lib.extendFlat(opts.errorX, errors.x);\n        }\n        if(opts.errorY) {\n            Lib.extendFlat(opts.errorY, errors.y);\n        }\n    }\n\n    if(opts.text) {\n        Lib.extendFlat(\n            opts.text,\n            {positions: positions},\n            convert.textPosition(gd, trace, opts.text, opts.marker)\n        );\n        Lib.extendFlat(\n            opts.textSel,\n            {positions: positions},\n            convert.textPosition(gd, trace, opts.text, opts.markerSel)\n        );\n        Lib.extendFlat(\n            opts.textUnsel,\n            {positions: positions},\n            convert.textPosition(gd, trace, opts.text, opts.markerUnsel)\n        );\n    }\n\n    return opts;\n}\n\n\n// make sure scene exists on subplot, return it\nfunction sceneUpdate(gd, subplot) {\n    var scene = subplot._scene;\n\n    var resetOpts = {\n        // number of traces in subplot, since scene:subplot → 1:1\n        count: 0,\n        // whether scene requires init hook in plot call (dirty plot call)\n        dirty: true,\n        // last used options\n        lineOptions: [],\n        fillOptions: [],\n        markerOptions: [],\n        markerSelectedOptions: [],\n        markerUnselectedOptions: [],\n        errorXOptions: [],\n        errorYOptions: [],\n        textOptions: [],\n        textSelectedOptions: [],\n        textUnselectedOptions: []\n    };\n\n    var initOpts = {\n        selectBatch: null,\n        unselectBatch: null,\n        // regl- component stubs, initialized in dirty plot call\n        fill2d: false,\n        scatter2d: false,\n        error2d: false,\n        line2d: false,\n        glText: false,\n        select2d: null\n    };\n\n    if(!subplot._scene) {\n        scene = subplot._scene = {};\n\n        scene.init = function init() {\n            Lib.extendFlat(scene, initOpts, resetOpts);\n        };\n\n        scene.init();\n\n        // apply new option to all regl components (used on drag)\n        scene.update = function update(opt) {\n            var opts = Lib.repeat(opt, scene.count);\n\n            if(scene.fill2d) scene.fill2d.update(opts);\n            if(scene.scatter2d) scene.scatter2d.update(opts);\n            if(scene.line2d) scene.line2d.update(opts);\n            if(scene.error2d) scene.error2d.update(opts.concat(opts));\n            if(scene.select2d) scene.select2d.update(opts);\n            if(scene.glText) {\n                for(var i = 0; i < scene.count; i++) {\n                    scene.glText[i].update(opt);\n                }\n            }\n        };\n\n        // draw traces in proper order\n        scene.draw = function draw() {\n            var count = scene.count;\n            var fill2d = scene.fill2d;\n            var error2d = scene.error2d;\n            var line2d = scene.line2d;\n            var scatter2d = scene.scatter2d;\n            var glText = scene.glText;\n            var select2d = scene.select2d;\n            var selectBatch = scene.selectBatch;\n            var unselectBatch = scene.unselectBatch;\n\n            for(var i = 0; i < count; i++) {\n                if(fill2d && scene.fillOrder[i]) {\n                    fill2d.draw(scene.fillOrder[i]);\n                }\n                if(line2d && scene.lineOptions[i]) {\n                    line2d.draw(i);\n                }\n                if(error2d) {\n                    if(scene.errorXOptions[i]) error2d.draw(i);\n                    if(scene.errorYOptions[i]) error2d.draw(i + count);\n                }\n                if(scatter2d && scene.markerOptions[i] && (!selectBatch || !selectBatch[i])) {\n                    scatter2d.draw(i);\n                }\n                if(glText[i] && scene.textOptions[i]) {\n                    glText[i].render();\n                }\n            }\n\n            if(scatter2d && select2d && selectBatch) {\n                select2d.draw(selectBatch);\n                scatter2d.draw(unselectBatch);\n            }\n\n            scene.dirty = false;\n        };\n\n        // remove scene resources\n        scene.destroy = function destroy() {\n            if(scene.fill2d && scene.fill2d.destroy) scene.fill2d.destroy();\n            if(scene.scatter2d && scene.scatter2d.destroy) scene.scatter2d.destroy();\n            if(scene.error2d && scene.error2d.destroy) scene.error2d.destroy();\n            if(scene.line2d && scene.line2d.destroy) scene.line2d.destroy();\n            if(scene.select2d && scene.select2d.destroy) scene.select2d.destroy();\n            if(scene.glText) {\n                scene.glText.forEach(function(text) {\n                    if(text.destroy) text.destroy();\n                });\n            }\n\n            scene.lineOptions = null;\n            scene.fillOptions = null;\n            scene.markerOptions = null;\n            scene.markerSelectedOptions = null;\n            scene.markerUnselectedOptions = null;\n            scene.errorXOptions = null;\n            scene.errorYOptions = null;\n            scene.textOptions = null;\n            scene.textSelectedOptions = null;\n            scene.textUnselectedOptions = null;\n\n            scene.selectBatch = null;\n            scene.unselectBatch = null;\n\n            // we can't just delete _scene, because `destroy` is called in the\n            // middle of supplyDefaults, before relinkPrivateKeys which will put it back.\n            subplot._scene = null;\n        };\n    }\n\n    // In case if we have scene from the last calc - reset data\n    if(!scene.dirty) {\n        Lib.extendFlat(scene, resetOpts);\n    }\n\n    return scene;\n}\n\nfunction getViewport(fullLayout, xaxis, yaxis) {\n    var gs = fullLayout._size;\n    var width = fullLayout.width;\n    var height = fullLayout.height;\n    return [\n        gs.l + xaxis.domain[0] * gs.w,\n        gs.b + yaxis.domain[0] * gs.h,\n        (width - gs.r) - (1 - xaxis.domain[1]) * gs.w,\n        (height - gs.t) - (1 - yaxis.domain[1]) * gs.h\n    ];\n}\n\nfunction plot(gd, subplot, cdata) {\n    if(!cdata.length) return;\n\n    var fullLayout = gd._fullLayout;\n    var scene = subplot._scene;\n    var xaxis = subplot.xaxis;\n    var yaxis = subplot.yaxis;\n    var i, j;\n\n    // we may have more subplots than initialized data due to Axes.getSubplots method\n    if(!scene) return;\n\n    var success = prepareRegl(gd, ['ANGLE_instanced_arrays', 'OES_element_index_uint']);\n    if(!success) {\n        scene.init();\n        return;\n    }\n\n    var regl = fullLayout._glcanvas.data()[0].regl;\n\n    // that is needed for fills\n    linkTraces(gd, subplot, cdata);\n\n    if(scene.dirty) {\n        // make sure scenes are created\n        if(scene.error2d === true) {\n            scene.error2d = createError(regl);\n        }\n        if(scene.line2d === true) {\n            scene.line2d = createLine(regl);\n        }\n        if(scene.scatter2d === true) {\n            scene.scatter2d = createScatter(regl);\n        }\n        if(scene.fill2d === true) {\n            scene.fill2d = createLine(regl);\n        }\n        if(scene.glText === true) {\n            scene.glText = new Array(scene.count);\n            for(i = 0; i < scene.count; i++) {\n                scene.glText[i] = new Text(regl);\n            }\n        }\n\n        // update main marker options\n        if(scene.glText) {\n            for(i = 0; i < scene.count; i++) {\n                scene.glText[i].update(scene.textOptions[i]);\n            }\n        }\n        if(scene.line2d) {\n            scene.line2d.update(scene.lineOptions);\n            scene.lineOptions = scene.lineOptions.map(function(lineOptions) {\n                if(lineOptions && lineOptions.positions) {\n                    var pos = [], srcPos = lineOptions.positions;\n\n                    var firstptdef = 0;\n                    while(isNaN(srcPos[firstptdef]) || isNaN(srcPos[firstptdef + 1])) {\n                        firstptdef += 2;\n                    }\n                    var lastptdef = srcPos.length - 2;\n                    while(isNaN(srcPos[lastptdef]) || isNaN(srcPos[lastptdef + 1])) {\n                        lastptdef += -2;\n                    }\n                    pos = pos.concat(srcPos.slice(firstptdef, lastptdef + 2));\n                    lineOptions.positions = pos;\n                }\n                return lineOptions;\n            });\n            scene.line2d.update(scene.lineOptions);\n        }\n        if(scene.error2d) {\n            var errorBatch = (scene.errorXOptions || []).concat(scene.errorYOptions || []);\n            scene.error2d.update(errorBatch);\n        }\n        if(scene.scatter2d) {\n            scene.scatter2d.update(scene.markerOptions);\n        }\n\n        // fill requires linked traces, so we generate it's positions here\n        scene.fillOrder = Lib.repeat(null, scene.count);\n        if(scene.fill2d) {\n            scene.fillOptions = scene.fillOptions.map(function(fillOptions, i) {\n                var cdscatter = cdata[i];\n                if(!fillOptions || !cdscatter || !cdscatter[0] || !cdscatter[0].trace) return;\n                var cd = cdscatter[0];\n                var trace = cd.trace;\n                var stash = cd.t;\n                var lineOptions = scene.lineOptions[i];\n                var last, j;\n\n                var fillData = [];\n                if(trace._ownfill) fillData.push(i);\n                if(trace._nexttrace) fillData.push(i + 1);\n                if(fillData.length) scene.fillOrder[i] = fillData;\n\n                var pos = [], srcPos = (lineOptions && lineOptions.positions) || stash.positions;\n\n                if(trace.fill === 'tozeroy') {\n                    var firstpdef = 0;\n                    while(isNaN(srcPos[firstpdef + 1])) {\n                        firstpdef += 2;\n                    }\n                    var lastpdef = srcPos.length - 2;\n                    while(isNaN(srcPos[lastpdef + 1])) {\n                        lastpdef += -2;\n                    }\n                    if(srcPos[firstpdef + 1] !== 0) {\n                        pos = [ srcPos[firstpdef], 0 ];\n                    }\n                    pos = pos.concat(srcPos.slice(firstpdef, lastpdef + 2));\n                    if(srcPos[lastpdef + 1] !== 0) {\n                        pos = pos.concat([ srcPos[lastpdef], 0 ]);\n                    }\n                }\n                else if(trace.fill === 'tozerox') {\n                    var firstptdef = 0;\n                    while(isNaN(srcPos[firstptdef])) {\n                        firstptdef += 2;\n                    }\n                    var lastptdef = srcPos.length - 2;\n                    while(isNaN(srcPos[lastptdef])) {\n                        lastptdef += -2;\n                    }\n                    if(srcPos[firstptdef] !== 0) {\n                        pos = [ 0, srcPos[firstptdef + 1] ];\n                    }\n                    pos = pos.concat(srcPos.slice(firstptdef, lastptdef + 2));\n                    if(srcPos[lastptdef] !== 0) {\n                        pos = pos.concat([ 0, srcPos[lastptdef + 1]]);\n                    }\n                }\n                else if(trace.fill === 'toself' || trace.fill === 'tonext') {\n                    pos = [];\n                    last = 0;\n                    for(j = 0; j < srcPos.length; j += 2) {\n                        if(isNaN(srcPos[j]) || isNaN(srcPos[j + 1])) {\n                            pos = pos.concat(srcPos.slice(last, j));\n                            pos.push(srcPos[last], srcPos[last + 1]);\n                            last = j + 2;\n                        }\n                    }\n                    pos = pos.concat(srcPos.slice(last));\n                    if(last) {\n                        pos.push(srcPos[last], srcPos[last + 1]);\n                    }\n                }\n                else {\n                    var nextTrace = trace._nexttrace;\n\n                    if(nextTrace) {\n                        var nextOptions = scene.lineOptions[i + 1];\n\n                        if(nextOptions) {\n                            var nextPos = nextOptions.positions;\n                            if(trace.fill === 'tonexty') {\n                                pos = srcPos.slice();\n\n                                for(i = Math.floor(nextPos.length / 2); i--;) {\n                                    var xx = nextPos[i * 2], yy = nextPos[i * 2 + 1];\n                                    if(isNaN(xx) || isNaN(yy)) continue;\n                                    pos.push(xx, yy);\n                                }\n                                fillOptions.fill = nextTrace.fillcolor;\n                            }\n                        }\n                    }\n                }\n\n                // detect prev trace positions to exclude from current fill\n                if(trace._prevtrace && trace._prevtrace.fill === 'tonext') {\n                    var prevLinePos = scene.lineOptions[i - 1].positions;\n\n                    // FIXME: likely this logic should be tested better\n                    var offset = pos.length / 2;\n                    last = offset;\n                    var hole = [last];\n                    for(j = 0; j < prevLinePos.length; j += 2) {\n                        if(isNaN(prevLinePos[j]) || isNaN(prevLinePos[j + 1])) {\n                            hole.push(j / 2 + offset + 1);\n                            last = j + 2;\n                        }\n                    }\n\n                    pos = pos.concat(prevLinePos);\n                    fillOptions.hole = hole;\n                }\n                fillOptions.fillmode = trace.fill;\n                fillOptions.opacity = trace.opacity;\n                fillOptions.positions = pos;\n\n                return fillOptions;\n            });\n\n            scene.fill2d.update(scene.fillOptions);\n        }\n    }\n\n    // form batch arrays, and check for selected points\n    scene.selectBatch = null;\n    scene.unselectBatch = null;\n    var dragmode = fullLayout.dragmode;\n    var selectMode = dragmode === 'lasso' || dragmode === 'select';\n    var clickSelectEnabled = fullLayout.clickmode.indexOf('select') > -1;\n\n    for(i = 0; i < cdata.length; i++) {\n        var cd0 = cdata[i][0];\n        var trace = cd0.trace;\n        var stash = cd0.t;\n        var index = stash.index;\n        var len = trace._length;\n        var x = stash.x;\n        var y = stash.y;\n\n        if(trace.selectedpoints || selectMode || clickSelectEnabled) {\n            if(!selectMode) selectMode = true;\n\n            if(!scene.selectBatch) {\n                scene.selectBatch = [];\n                scene.unselectBatch = [];\n            }\n\n            // regenerate scene batch, if traces number changed during selection\n            if(trace.selectedpoints) {\n                var selPts = scene.selectBatch[index] = Lib.selIndices2selPoints(trace);\n\n                var selDict = {};\n                for(j = 0; j < selPts.length; j++) {\n                    selDict[selPts[j]] = 1;\n                }\n                var unselPts = [];\n                for(j = 0; j < len; j++) {\n                    if(!selDict[j]) unselPts.push(j);\n                }\n                scene.unselectBatch[index] = unselPts;\n            }\n\n            // precalculate px coords since we are not going to pan during select\n            // TODO, could do better here e.g.\n            // - spin that in a webworker\n            // - compute selection from polygons in data coordinates\n            //   (maybe just for linear axes)\n            var xpx = stash.xpx = new Array(len);\n            var ypx = stash.ypx = new Array(len);\n            for(j = 0; j < len; j++) {\n                xpx[j] = xaxis.c2p(x[j]);\n                ypx[j] = yaxis.c2p(y[j]);\n            }\n        } else {\n            stash.xpx = stash.ypx = null;\n        }\n    }\n\n\n    if(selectMode) {\n        // create select2d\n        if(!scene.select2d) {\n            // create scatter instance by cloning scatter2d\n            scene.select2d = createScatter(fullLayout._glcanvas.data()[1].regl);\n        }\n\n        if(scene.scatter2d && scene.selectBatch && scene.selectBatch.length) {\n            // update only traces with selection\n            scene.scatter2d.update(scene.markerUnselectedOptions.map(function(opts, i) {\n                return scene.selectBatch[i] ? opts : null;\n            }));\n        }\n\n        if(scene.select2d) {\n            scene.select2d.update(scene.markerOptions);\n            scene.select2d.update(scene.markerSelectedOptions);\n        }\n\n        if(scene.glText) {\n            cdata.forEach(function(cdscatter) {\n                if(cdscatter && cdscatter[0] && cdscatter[0].trace) {\n                    styleTextSelection(cdscatter);\n                }\n            });\n        }\n    } else {\n        if(scene.scatter2d) {\n            // reset scatter2d opts to base opts,\n            // thus unsetting markerUnselectedOptions from selection\n            scene.scatter2d.update(scene.markerOptions);\n        }\n    }\n\n    // provide viewport and range\n    var vpRange0 = {\n        viewport: getViewport(fullLayout, xaxis, yaxis),\n        // TODO do we need those fallbacks?\n        range: [\n            (xaxis._rl || xaxis.range)[0],\n            (yaxis._rl || yaxis.range)[0],\n            (xaxis._rl || xaxis.range)[1],\n            (yaxis._rl || yaxis.range)[1]\n        ]\n    };\n    var vpRange = Lib.repeat(vpRange0, scene.count);\n\n    // upload viewport/range data to GPU\n    if(scene.fill2d) {\n        scene.fill2d.update(vpRange);\n    }\n    if(scene.line2d) {\n        scene.line2d.update(vpRange);\n    }\n    if(scene.error2d) {\n        scene.error2d.update(vpRange.concat(vpRange));\n    }\n    if(scene.scatter2d) {\n        scene.scatter2d.update(vpRange);\n    }\n    if(scene.select2d) {\n        scene.select2d.update(vpRange);\n    }\n    if(scene.glText) {\n        scene.glText.forEach(function(text) { text.update(vpRange0); });\n    }\n}\n\n\nfunction hoverPoints(pointData, xval, yval, hovermode) {\n    var cd = pointData.cd;\n    var stash = cd[0].t;\n    var trace = cd[0].trace;\n    var xa = pointData.xa;\n    var ya = pointData.ya;\n    var x = stash.x;\n    var y = stash.y;\n    var xpx = xa.c2p(xval);\n    var ypx = ya.c2p(yval);\n    var maxDistance = pointData.distance;\n    var ids;\n\n    // FIXME: make sure this is a proper way to calc search radius\n    if(stash.tree) {\n        var xl = xa.p2c(xpx - maxDistance);\n        var xr = xa.p2c(xpx + maxDistance);\n        var yl = ya.p2c(ypx - maxDistance);\n        var yr = ya.p2c(ypx + maxDistance);\n\n        if(hovermode === 'x') {\n            ids = stash.tree.range(\n                Math.min(xl, xr), Math.min(ya._rl[0], ya._rl[1]),\n                Math.max(xl, xr), Math.max(ya._rl[0], ya._rl[1])\n            );\n        }\n        else {\n            ids = stash.tree.range(\n                Math.min(xl, xr), Math.min(yl, yr),\n                Math.max(xl, xr), Math.max(yl, yr)\n            );\n        }\n    }\n    else if(stash.ids) {\n        ids = stash.ids;\n    }\n    else return [pointData];\n\n    // pick the id closest to the point\n    // note that point possibly may not be found\n    var id, ptx, pty, i, dx, dy, dist, dxy;\n\n    var minDist = maxDistance;\n    if(hovermode === 'x') {\n        for(i = 0; i < ids.length; i++) {\n            ptx = x[ids[i]];\n            dx = Math.abs(xa.c2p(ptx) - xpx);\n            if(dx < minDist) {\n                minDist = dx;\n                dy = ya.c2p(y[ids[i]]) - ypx;\n                dxy = Math.sqrt(dx * dx + dy * dy);\n                id = ids[i];\n            }\n        }\n    }\n    else {\n        for(i = 0; i < ids.length; i++) {\n            ptx = x[ids[i]];\n            pty = y[ids[i]];\n            dx = xa.c2p(ptx) - xpx;\n            dy = ya.c2p(pty) - ypx;\n\n            dist = Math.sqrt(dx * dx + dy * dy);\n            if(dist < minDist) {\n                minDist = dxy = dist;\n                id = ids[i];\n            }\n        }\n    }\n\n    pointData.index = id;\n    pointData.distance = minDist;\n    pointData.dxy = dxy;\n\n    if(id === undefined) return [pointData];\n\n    calcHover(pointData, x, y, trace);\n\n    return [pointData];\n}\n\n\nfunction calcHover(pointData, x, y, trace) {\n    var xa = pointData.xa;\n    var ya = pointData.ya;\n    var minDist = pointData.distance;\n    var dxy = pointData.dxy;\n    var id = pointData.index;\n\n    // the closest data point\n    var di = {\n        pointNumber: id,\n        x: x[id],\n        y: y[id]\n    };\n\n    // that is single-item arrays_to_calcdata excerpt, since we are doing it for a single point and we don't have to do it beforehead for 1e6 points\n    di.tx = Array.isArray(trace.text) ? trace.text[id] : trace.text;\n    di.htx = Array.isArray(trace.hovertext) ? trace.hovertext[id] : trace.hovertext;\n    di.data = Array.isArray(trace.customdata) ? trace.customdata[id] : trace.customdata;\n    di.tp = Array.isArray(trace.textposition) ? trace.textposition[id] : trace.textposition;\n\n    var font = trace.textfont;\n    if(font) {\n        di.ts = Array.isArray(font.size) ? font.size[id] : font.size;\n        di.tc = Array.isArray(font.color) ? font.color[id] : font.color;\n        di.tf = Array.isArray(font.family) ? font.family[id] : font.family;\n    }\n\n    var marker = trace.marker;\n    if(marker) {\n        di.ms = Lib.isArrayOrTypedArray(marker.size) ? marker.size[id] : marker.size;\n        di.mo = Lib.isArrayOrTypedArray(marker.opacity) ? marker.opacity[id] : marker.opacity;\n        di.mx = Array.isArray(marker.symbol) ? marker.symbol[id] : marker.symbol;\n        di.mc = Lib.isArrayOrTypedArray(marker.color) ? marker.color[id] : marker.color;\n    }\n\n    var line = marker && marker.line;\n    if(line) {\n        di.mlc = Array.isArray(line.color) ? line.color[id] : line.color;\n        di.mlw = Lib.isArrayOrTypedArray(line.width) ? line.width[id] : line.width;\n    }\n\n    var grad = marker && marker.gradient;\n    if(grad && grad.type !== 'none') {\n        di.mgt = Array.isArray(grad.type) ? grad.type[id] : grad.type;\n        di.mgc = Array.isArray(grad.color) ? grad.color[id] : grad.color;\n    }\n\n    var xp = xa.c2p(di.x, true);\n    var yp = ya.c2p(di.y, true);\n    var rad = di.mrc || 1;\n\n    var hoverlabel = trace.hoverlabel;\n\n    if(hoverlabel) {\n        di.hbg = Array.isArray(hoverlabel.bgcolor) ? hoverlabel.bgcolor[id] : hoverlabel.bgcolor;\n        di.hbc = Array.isArray(hoverlabel.bordercolor) ? hoverlabel.bordercolor[id] : hoverlabel.bordercolor;\n        di.hts = Array.isArray(hoverlabel.font.size) ? hoverlabel.font.size[id] : hoverlabel.font.size;\n        di.htc = Array.isArray(hoverlabel.font.color) ? hoverlabel.font.color[id] : hoverlabel.font.color;\n        di.htf = Array.isArray(hoverlabel.font.family) ? hoverlabel.font.family[id] : hoverlabel.font.family;\n        di.hnl = Array.isArray(hoverlabel.namelength) ? hoverlabel.namelength[id] : hoverlabel.namelength;\n    }\n    var hoverinfo = trace.hoverinfo;\n    if(hoverinfo) {\n        di.hi = Array.isArray(hoverinfo) ? hoverinfo[id] : hoverinfo;\n    }\n\n    var fakeCd = {};\n    fakeCd[pointData.index] = di;\n\n    Lib.extendFlat(pointData, {\n        color: getTraceColor(trace, di),\n\n        x0: xp - rad,\n        x1: xp + rad,\n        xLabelVal: di.x,\n\n        y0: yp - rad,\n        y1: yp + rad,\n        yLabelVal: di.y,\n\n        cd: fakeCd,\n        distance: minDist,\n        spikeDistance: dxy\n    });\n\n    if(di.htx) pointData.text = di.htx;\n    else if(di.tx) pointData.text = di.tx;\n    else if(trace.text) pointData.text = trace.text;\n\n    fillHoverText(di, trace, pointData);\n    Registry.getComponentMethod('errorbars', 'hoverInfo')(di, trace, pointData);\n\n    return pointData;\n}\n\n\nfunction selectPoints(searchInfo, selectionTester) {\n    var cd = searchInfo.cd;\n    var selection = [];\n    var trace = cd[0].trace;\n    var stash = cd[0].t;\n    var len = trace._length;\n    var x = stash.x;\n    var y = stash.y;\n    var scene = stash._scene;\n\n    if(!scene) return selection;\n\n    var hasText = subTypes.hasText(trace);\n    var hasMarkers = subTypes.hasMarkers(trace);\n    var hasOnlyLines = !hasMarkers && !hasText;\n    if(trace.visible !== true || hasOnlyLines) return selection;\n\n    // degenerate polygon does not enable selection\n    // filter out points by visible scatter ones\n    var els = null;\n    var unels = null;\n    // FIXME: clearing selection does not work here\n    var i;\n    if(selectionTester !== false && !selectionTester.degenerate) {\n        els = [], unels = [];\n        for(i = 0; i < len; i++) {\n            if(selectionTester.contains([stash.xpx[i], stash.ypx[i]], false, i, searchInfo)) {\n                els.push(i);\n                selection.push({\n                    pointNumber: i,\n                    x: x[i],\n                    y: y[i]\n                });\n            }\n            else {\n                unels.push(i);\n            }\n        }\n    } else {\n        unels = arrayRange(len);\n    }\n\n    // make sure selectBatch is created\n    if(!scene.selectBatch) {\n        scene.selectBatch = [];\n        scene.unselectBatch = [];\n    }\n\n    if(!scene.selectBatch[stash.index]) {\n        // enter every trace select mode\n        for(i = 0; i < scene.count; i++) {\n            scene.selectBatch[i] = [];\n            scene.unselectBatch[i] = [];\n        }\n        // we should turn scatter2d into unselected once we have any points selected\n        if(hasMarkers) {\n            scene.scatter2d.update(scene.markerUnselectedOptions);\n        }\n    }\n\n    scene.selectBatch[stash.index] = els;\n    scene.unselectBatch[stash.index] = unels;\n\n    // update text options\n    if(hasText) {\n        styleTextSelection(cd);\n    }\n\n    return selection;\n}\n\nfunction styleTextSelection(cd) {\n    var cd0 = cd[0];\n    var trace = cd0.trace;\n    var stash = cd0.t;\n    var scene = stash._scene;\n    var index = stash.index;\n    var els = scene.selectBatch[index];\n    var unels = scene.unselectBatch[index];\n    var baseOpts = scene.textOptions[index];\n    var selOpts = scene.textSelectedOptions[index] || {};\n    var unselOpts = scene.textUnselectedOptions[index] || {};\n    var opts = Lib.extendFlat({}, baseOpts);\n    var i, j;\n\n    if(els && unels) {\n        var stc = selOpts.color;\n        var utc = unselOpts.color;\n        var base = baseOpts.color;\n        var hasArrayBase = Array.isArray(base);\n        opts.color = new Array(trace._length);\n\n        for(i = 0; i < els.length; i++) {\n            j = els[i];\n            opts.color[j] = stc || (hasArrayBase ? base[j] : base);\n        }\n        for(i = 0; i < unels.length; i++) {\n            j = unels[i];\n            var basej = hasArrayBase ? base[j] : base;\n            opts.color[j] = utc ? utc :\n                stc ? basej : Color.addOpacity(basej, DESELECTDIM);\n        }\n    }\n\n    scene.glText[index].update(opts);\n}\n\nmodule.exports = {\n    moduleType: 'trace',\n    name: 'scattergl',\n    basePlotModule: _dereq_('../../plots/cartesian'),\n    categories: ['gl', 'regl', 'cartesian', 'symbols', 'errorBarsOK', 'showLegend', 'scatter-like'],\n\n    attributes: _dereq_('./attributes'),\n    supplyDefaults: _dereq_('./defaults'),\n    crossTraceDefaults: _dereq_('../scatter/cross_trace_defaults'),\n    colorbar: _dereq_('../scatter/marker_colorbar'),\n    calc: calc,\n    plot: plot,\n    hoverPoints: hoverPoints,\n    selectPoints: selectPoints,\n\n    sceneUpdate: sceneUpdate,\n    calcHover: calcHover,\n\n    meta: {\n        \n        \n    }\n};\n\n},{\"../../components/color\":570,\"../../constants/interactions\":672,\"../../constants/numerical\":673,\"../../lib\":696,\"../../lib/prepare_regl\":710,\"../../plots/cartesian\":757,\"../../plots/cartesian/autorange\":744,\"../../plots/cartesian/axis_ids\":748,\"../../registry\":828,\"../scatter/calc\":1045,\"../scatter/colorscale_calc\":1047,\"../scatter/cross_trace_defaults\":1050,\"../scatter/fill_hover_text\":1052,\"../scatter/get_trace_color\":1054,\"../scatter/link_traces\":1060,\"../scatter/marker_colorbar\":1062,\"../scatter/subtypes\":1068,\"./attributes\":1093,\"./constants\":1094,\"./convert\":1095,\"./defaults\":1096,\"array-range\":55,\"gl-text\":304,\"point-cluster\":452,\"regl-error2d\":473,\"regl-line2d\":474,\"regl-scatter2d\":475}],1098:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterGeoAttrs = _dereq_('../scattergeo/attributes');\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar mapboxAttrs = _dereq_('../../plots/mapbox/layout_attributes');\nvar plotAttrs = _dereq_('../../plots/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\nvar lineAttrs = scatterGeoAttrs.line;\nvar markerAttrs = scatterGeoAttrs.marker;\n\nmodule.exports = overrideAll({\n    lon: scatterGeoAttrs.lon,\n    lat: scatterGeoAttrs.lat,\n\n    // locations\n    // locationmode\n\n    mode: extendFlat({}, scatterAttrs.mode, {\n        dflt: 'markers',\n        \n    }),\n\n    text: extendFlat({}, scatterAttrs.text, {\n        \n    }),\n    hovertext: extendFlat({}, scatterAttrs.hovertext, {\n        \n    }),\n\n    line: {\n        color: lineAttrs.color,\n        width: lineAttrs.width\n\n        // TODO\n        // dash: dash\n    },\n\n    connectgaps: scatterAttrs.connectgaps,\n\n    marker: {\n        symbol: {\n            valType: 'string',\n            dflt: 'circle',\n            \n            arrayOk: true,\n            \n        },\n        opacity: markerAttrs.opacity,\n        size: markerAttrs.size,\n        sizeref: markerAttrs.sizeref,\n        sizemin: markerAttrs.sizemin,\n        sizemode: markerAttrs.sizemode,\n        color: markerAttrs.color,\n        colorscale: markerAttrs.colorscale,\n        cauto: markerAttrs.cauto,\n        cmax: markerAttrs.cmax,\n        cmin: markerAttrs.cmin,\n        autocolorscale: markerAttrs.autocolorscale,\n        reversescale: markerAttrs.reversescale,\n        showscale: markerAttrs.showscale,\n        colorbar: colorbarAttrs,\n\n        // line\n    },\n\n    fill: scatterGeoAttrs.fill,\n    fillcolor: scatterAttrs.fillcolor,\n\n    textfont: mapboxAttrs.layers.symbol.textfont,\n    textposition: mapboxAttrs.layers.symbol.textposition,\n\n    selected: {\n        marker: scatterAttrs.selected.marker\n    },\n    unselected: {\n        marker: scatterAttrs.unselected.marker\n    },\n\n    hoverinfo: extendFlat({}, plotAttrs.hoverinfo, {\n        flags: ['lon', 'lat', 'text', 'name']\n    })\n}, 'calc', 'nested');\n\n},{\"../../components/colorbar/attributes\":571,\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../../plots/attributes\":742,\"../../plots/mapbox/layout_attributes\":805,\"../scatter/attributes\":1044,\"../scattergeo/attributes\":1084}],1099:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar Lib = _dereq_('../../lib');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\nvar geoJsonUtils = _dereq_('../../lib/geojson_utils');\n\nvar Colorscale = _dereq_('../../components/colorscale');\nvar Drawing = _dereq_('../../components/drawing');\nvar makeBubbleSizeFn = _dereq_('../scatter/make_bubble_size_func');\nvar subTypes = _dereq_('../scatter/subtypes');\nvar convertTextOpts = _dereq_('../../plots/mapbox/convert_text_opts');\n\nmodule.exports = function convert(calcTrace) {\n    var trace = calcTrace[0].trace;\n\n    var isVisible = (trace.visible === true);\n    var hasFill = (trace.fill !== 'none');\n    var hasLines = subTypes.hasLines(trace);\n    var hasMarkers = subTypes.hasMarkers(trace);\n    var hasText = subTypes.hasText(trace);\n    var hasCircles = (hasMarkers && trace.marker.symbol === 'circle');\n    var hasSymbols = (hasMarkers && trace.marker.symbol !== 'circle');\n\n    var fill = initContainer();\n    var line = initContainer();\n    var circle = initContainer();\n    var symbol = initContainer();\n\n    var opts = {\n        fill: fill,\n        line: line,\n        circle: circle,\n        symbol: symbol\n    };\n\n    // early return if not visible or placeholder\n    if(!isVisible) return opts;\n\n    // fill layer and line layer use the same coords\n    var lineCoords;\n    if(hasFill || hasLines) {\n        lineCoords = geoJsonUtils.calcTraceToLineCoords(calcTrace);\n    }\n\n    if(hasFill) {\n        fill.geojson = geoJsonUtils.makePolygon(lineCoords);\n        fill.layout.visibility = 'visible';\n\n        Lib.extendFlat(fill.paint, {\n            'fill-color': trace.fillcolor\n        });\n    }\n\n    if(hasLines) {\n        line.geojson = geoJsonUtils.makeLine(lineCoords);\n        line.layout.visibility = 'visible';\n\n        Lib.extendFlat(line.paint, {\n            'line-width': trace.line.width,\n            'line-color': trace.line.color,\n            'line-opacity': trace.opacity\n        });\n\n        // TODO convert line.dash into line-dasharray\n    }\n\n    if(hasCircles) {\n        var circleOpts = makeCircleOpts(calcTrace);\n        circle.geojson = circleOpts.geojson;\n        circle.layout.visibility = 'visible';\n\n        Lib.extendFlat(circle.paint, {\n            'circle-color': circleOpts.mcc,\n            'circle-radius': circleOpts.mrc,\n            'circle-opacity': circleOpts.mo\n        });\n    }\n\n    if(hasSymbols || hasText) {\n        symbol.geojson = makeSymbolGeoJSON(calcTrace);\n\n        Lib.extendFlat(symbol.layout, {\n            visibility: 'visible',\n            'icon-image': '{symbol}-15',\n            'text-field': '{text}'\n        });\n\n        if(hasSymbols) {\n            Lib.extendFlat(symbol.layout, {\n                'icon-size': trace.marker.size / 10\n            });\n\n            Lib.extendFlat(symbol.paint, {\n                'icon-opacity': trace.opacity * trace.marker.opacity,\n\n                // TODO does not work ??\n                'icon-color': trace.marker.color\n            });\n        }\n\n        if(hasText) {\n            var iconSize = (trace.marker || {}).size,\n                textOpts = convertTextOpts(trace.textposition, iconSize);\n\n            // all data-driven below !!\n\n            Lib.extendFlat(symbol.layout, {\n                'text-size': trace.textfont.size,\n                'text-anchor': textOpts.anchor,\n                'text-offset': textOpts.offset\n\n                // TODO font family\n                // 'text-font': symbol.textfont.family.split(', '),\n            });\n\n            Lib.extendFlat(symbol.paint, {\n                'text-color': trace.textfont.color,\n                'text-opacity': trace.opacity\n            });\n        }\n    }\n\n    return opts;\n};\n\nfunction initContainer() {\n    return {\n        geojson: geoJsonUtils.makeBlank(),\n        layout: { visibility: 'none' },\n        paint: {}\n    };\n}\n\nfunction makeCircleOpts(calcTrace) {\n    var trace = calcTrace[0].trace;\n    var marker = trace.marker;\n    var selectedpoints = trace.selectedpoints;\n    var arrayColor = Lib.isArrayOrTypedArray(marker.color);\n    var arraySize = Lib.isArrayOrTypedArray(marker.size);\n    var arrayOpacity = Lib.isArrayOrTypedArray(marker.opacity);\n    var i;\n\n    function addTraceOpacity(o) { return trace.opacity * o; }\n\n    function size2radius(s) { return s / 2; }\n\n    var colorFn;\n    if(arrayColor) {\n        if(Colorscale.hasColorscale(trace, 'marker')) {\n            colorFn = Colorscale.makeColorScaleFunc(\n                 Colorscale.extractScale(marker.colorscale, marker.cmin, marker.cmax)\n             );\n        } else {\n            colorFn = Lib.identity;\n        }\n    }\n\n    var sizeFn;\n    if(arraySize) {\n        sizeFn = makeBubbleSizeFn(trace);\n    }\n\n    var opacityFn;\n    if(arrayOpacity) {\n        opacityFn = function(mo) {\n            var mo2 = isNumeric(mo) ? +Lib.constrain(mo, 0, 1) : 0;\n            return addTraceOpacity(mo2);\n        };\n    }\n\n    var features = [];\n    for(i = 0; i < calcTrace.length; i++) {\n        var calcPt = calcTrace[i];\n        var lonlat = calcPt.lonlat;\n\n        if(isBADNUM(lonlat)) continue;\n\n        var props = {};\n        if(colorFn) props.mcc = calcPt.mcc = colorFn(calcPt.mc);\n        if(sizeFn) props.mrc = calcPt.mrc = sizeFn(calcPt.ms);\n        if(opacityFn) props.mo = opacityFn(calcPt.mo);\n        if(selectedpoints) props.selected = calcPt.selected || 0;\n\n        features.push({\n            type: 'Feature',\n            geometry: {type: 'Point', coordinates: lonlat},\n            properties: props\n        });\n    }\n\n    var fns;\n    if(selectedpoints) {\n        fns = Drawing.makeSelectedPointStyleFns(trace);\n\n        for(i = 0; i < features.length; i++) {\n            var d = features[i].properties;\n\n            if(fns.selectedOpacityFn) {\n                d.mo = addTraceOpacity(fns.selectedOpacityFn(d));\n            }\n            if(fns.selectedColorFn) {\n                d.mcc = fns.selectedColorFn(d);\n            }\n            if(fns.selectedSizeFn) {\n                d.mrc = fns.selectedSizeFn(d);\n            }\n        }\n    }\n\n    return {\n        geojson: {type: 'FeatureCollection', features: features},\n        mcc: arrayColor || (fns && fns.selectedColorFn) ?\n            {type: 'identity', property: 'mcc'} :\n            marker.color,\n        mrc: arraySize || (fns && fns.selectedSizeFn) ?\n            {type: 'identity', property: 'mrc'} :\n            size2radius(marker.size),\n        mo: arrayOpacity || (fns && fns.selectedOpacityFn) ?\n            {type: 'identity', property: 'mo'} :\n            addTraceOpacity(marker.opacity)\n    };\n}\n\nfunction makeSymbolGeoJSON(calcTrace) {\n    var trace = calcTrace[0].trace;\n\n    var marker = trace.marker || {},\n        symbol = marker.symbol,\n        text = trace.text;\n\n    var fillSymbol = (symbol !== 'circle') ?\n            getFillFunc(symbol) :\n            blankFillFunc;\n\n    var fillText = subTypes.hasText(trace) ?\n            getFillFunc(text) :\n            blankFillFunc;\n\n    var features = [];\n\n    for(var i = 0; i < calcTrace.length; i++) {\n        var calcPt = calcTrace[i];\n\n        if(isBADNUM(calcPt.lonlat)) continue;\n\n        features.push({\n            type: 'Feature',\n            geometry: {\n                type: 'Point',\n                coordinates: calcPt.lonlat\n            },\n            properties: {\n                symbol: fillSymbol(calcPt.mx),\n                text: fillText(calcPt.tx)\n            }\n        });\n    }\n\n    return {\n        type: 'FeatureCollection',\n        features: features\n    };\n}\n\nfunction getFillFunc(attr) {\n    if(Lib.isArrayOrTypedArray(attr)) {\n        return function(v) { return v; };\n    }\n    else if(attr) {\n        return function() { return attr; };\n    }\n    else {\n        return blankFillFunc;\n    }\n}\n\nfunction blankFillFunc() { return ''; }\n\n// only need to check lon (OR lat)\nfunction isBADNUM(lonlat) {\n    return lonlat[0] === BADNUM;\n}\n\n},{\"../../components/colorscale\":585,\"../../components/drawing\":595,\"../../constants/numerical\":673,\"../../lib\":696,\"../../lib/geojson_utils\":689,\"../../plots/mapbox/convert_text_opts\":802,\"../scatter/make_bubble_size_func\":1061,\"../scatter/subtypes\":1068,\"fast-isnumeric\":214}],1100:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar subTypes = _dereq_('../scatter/subtypes');\nvar handleMarkerDefaults = _dereq_('../scatter/marker_defaults');\nvar handleLineDefaults = _dereq_('../scatter/line_defaults');\nvar handleTextDefaults = _dereq_('../scatter/text_defaults');\nvar handleFillColorDefaults = _dereq_('../scatter/fillcolor_defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var len = handleLonLatDefaults(traceIn, traceOut, coerce);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('text');\n    coerce('hovertext');\n    coerce('mode');\n\n    if(subTypes.hasLines(traceOut)) {\n        handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce, {noDash: true});\n        coerce('connectgaps');\n    }\n\n    if(subTypes.hasMarkers(traceOut)) {\n        handleMarkerDefaults(traceIn, traceOut, defaultColor, layout, coerce, {noLine: true});\n\n        // array marker.size and marker.color are only supported with circles\n        var marker = traceOut.marker;\n        if(marker.symbol !== 'circle') {\n            if(Lib.isArrayOrTypedArray(marker.size)) marker.size = marker.size[0];\n            if(Lib.isArrayOrTypedArray(marker.color)) marker.color = marker.color[0];\n        }\n    }\n\n    if(subTypes.hasText(traceOut)) {\n        handleTextDefaults(traceIn, traceOut, layout, coerce, {noSelect: true});\n    }\n\n    coerce('fill');\n    if(traceOut.fill !== 'none') {\n        handleFillColorDefaults(traceIn, traceOut, defaultColor, coerce);\n    }\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\nfunction handleLonLatDefaults(traceIn, traceOut, coerce) {\n    var lon = coerce('lon') || [];\n    var lat = coerce('lat') || [];\n    var len = Math.min(lon.length, lat.length);\n    traceOut._length = len;\n\n    return len;\n}\n\n},{\"../../lib\":696,\"../scatter/fillcolor_defaults\":1053,\"../scatter/line_defaults\":1057,\"../scatter/marker_defaults\":1063,\"../scatter/subtypes\":1068,\"../scatter/text_defaults\":1069,\"./attributes\":1098}],1101:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\n\nmodule.exports = function eventData(out, pt) {\n    out.lon = pt.lon;\n    out.lat = pt.lat;\n\n    return out;\n};\n\n},{}],1102:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Fx = _dereq_('../../components/fx');\nvar Lib = _dereq_('../../lib');\nvar getTraceColor = _dereq_('../scatter/get_trace_color');\nvar fillHoverText = _dereq_('../scatter/fill_hover_text');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nmodule.exports = function hoverPoints(pointData, xval, yval) {\n    var cd = pointData.cd;\n    var trace = cd[0].trace;\n    var xa = pointData.xa;\n    var ya = pointData.ya;\n    var subplot = pointData.subplot;\n\n    // compute winding number about [-180, 180] globe\n    var winding = (xval >= 0) ?\n        Math.floor((xval + 180) / 360) :\n        Math.ceil((xval - 180) / 360);\n\n    // shift longitude to [-180, 180] to determine closest point\n    var lonShift = winding * 360;\n    var xval2 = xval - lonShift;\n\n    function distFn(d) {\n        var lonlat = d.lonlat;\n        if(lonlat[0] === BADNUM) return Infinity;\n\n        var lon = Lib.modHalf(lonlat[0], 360);\n        var lat = lonlat[1];\n        var pt = subplot.project([lon, lat]);\n        var dx = pt.x - xa.c2p([xval2, lat]);\n        var dy = pt.y - ya.c2p([lon, yval]);\n        var rad = Math.max(3, d.mrc || 0);\n\n        return Math.max(Math.sqrt(dx * dx + dy * dy) - rad, 1 - 3 / rad);\n    }\n\n    Fx.getClosest(cd, distFn, pointData);\n\n    // skip the rest (for this trace) if we didn't find a close point\n    if(pointData.index === false) return;\n\n    var di = cd[pointData.index];\n    var lonlat = di.lonlat;\n    var lonlatShifted = [Lib.modHalf(lonlat[0], 360) + lonShift, lonlat[1]];\n\n    // shift labels back to original winded globe\n    var xc = xa.c2p(lonlatShifted);\n    var yc = ya.c2p(lonlatShifted);\n    var rad = di.mrc || 1;\n\n    pointData.x0 = xc - rad;\n    pointData.x1 = xc + rad;\n    pointData.y0 = yc - rad;\n    pointData.y1 = yc + rad;\n\n    pointData.color = getTraceColor(trace, di);\n    pointData.extraText = getExtraText(trace, di, cd[0].t.labels);\n\n    return [pointData];\n};\n\nfunction getExtraText(trace, di, labels) {\n    var hoverinfo = di.hi || trace.hoverinfo;\n    var parts = hoverinfo.split('+');\n    var isAll = parts.indexOf('all') !== -1;\n    var hasLon = parts.indexOf('lon') !== -1;\n    var hasLat = parts.indexOf('lat') !== -1;\n    var lonlat = di.lonlat;\n    var text = [];\n\n    // TODO should we use a mock axis to format hover?\n    // If so, we'll need to make precision be zoom-level dependent\n    function format(v) {\n        return v + '\\u00B0';\n    }\n\n    if(isAll || (hasLon && hasLat)) {\n        text.push('(' + format(lonlat[0]) + ', ' + format(lonlat[1]) + ')');\n    } else if(hasLon) {\n        text.push(labels.lon + format(lonlat[0]));\n    } else if(hasLat) {\n        text.push(labels.lat + format(lonlat[1]));\n    }\n\n    if(isAll || parts.indexOf('text') !== -1) {\n        fillHoverText(di, trace, text);\n    }\n\n    return text.join('<br>');\n}\n\n},{\"../../components/fx\":612,\"../../constants/numerical\":673,\"../../lib\":696,\"../scatter/fill_hover_text\":1052,\"../scatter/get_trace_color\":1054}],1103:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\n\nvar ScatterMapbox = {};\n\nScatterMapbox.attributes = _dereq_('./attributes');\nScatterMapbox.supplyDefaults = _dereq_('./defaults');\nScatterMapbox.colorbar = _dereq_('../scatter/marker_colorbar');\nScatterMapbox.calc = _dereq_('../scattergeo/calc');\nScatterMapbox.plot = _dereq_('./plot');\nScatterMapbox.hoverPoints = _dereq_('./hover');\nScatterMapbox.eventData = _dereq_('./event_data');\nScatterMapbox.selectPoints = _dereq_('./select');\n\nScatterMapbox.style = function(_, cd) {\n    if(cd) {\n        var trace = cd[0].trace;\n        trace._glTrace.update(cd);\n    }\n};\n\nScatterMapbox.moduleType = 'trace';\nScatterMapbox.name = 'scattermapbox';\nScatterMapbox.basePlotModule = _dereq_('../../plots/mapbox');\nScatterMapbox.categories = ['mapbox', 'gl', 'symbols', 'showLegend', 'scatterlike'];\nScatterMapbox.meta = {\n    \n    \n};\n\nmodule.exports = ScatterMapbox;\n\n},{\"../../plots/mapbox\":803,\"../scatter/marker_colorbar\":1062,\"../scattergeo/calc\":1085,\"./attributes\":1098,\"./defaults\":1100,\"./event_data\":1101,\"./hover\":1102,\"./plot\":1104,\"./select\":1105}],1104:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar convert = _dereq_('./convert');\n\nfunction ScatterMapbox(subplot, uid) {\n    this.subplot = subplot;\n    this.uid = uid;\n\n    this.sourceIds = {\n        fill: uid + '-source-fill',\n        line: uid + '-source-line',\n        circle: uid + '-source-circle',\n        symbol: uid + '-source-symbol'\n    };\n\n    this.layerIds = {\n        fill: uid + '-layer-fill',\n        line: uid + '-layer-line',\n        circle: uid + '-layer-circle',\n        symbol: uid + '-layer-symbol'\n    };\n\n    this.order = ['fill', 'line', 'circle', 'symbol'];\n\n    // We could merge the 'fill' source with the 'line' source and\n    // the 'circle' source with the 'symbol' source if ever having\n    // for up-to 4 sources per 'scattermapbox' traces becomes a problem.\n}\n\nvar proto = ScatterMapbox.prototype;\n\nproto.addSource = function(k, opts) {\n    this.subplot.map.addSource(this.sourceIds[k], {\n        type: 'geojson',\n        data: opts.geojson\n    });\n};\n\nproto.setSourceData = function(k, opts) {\n    this.subplot.map\n        .getSource(this.sourceIds[k])\n        .setData(opts.geojson);\n};\n\nproto.addLayer = function(k, opts) {\n    this.subplot.map.addLayer({\n        type: k,\n        id: this.layerIds[k],\n        source: this.sourceIds[k],\n        layout: opts.layout,\n        paint: opts.paint\n    });\n};\n\nproto.update = function update(calcTrace) {\n    var subplot = this.subplot;\n    var optsAll = convert(calcTrace);\n\n    for(var i = 0; i < this.order.length; i++) {\n        var k = this.order[i];\n        var opts = optsAll[k];\n\n        subplot.setOptions(this.layerIds[k], 'setLayoutProperty', opts.layout);\n\n        if(opts.layout.visibility === 'visible') {\n            this.setSourceData(k, opts);\n            subplot.setOptions(this.layerIds[k], 'setPaintProperty', opts.paint);\n        }\n    }\n\n    // link ref for quick update during selections\n    calcTrace[0].trace._glTrace = this;\n};\n\nproto.dispose = function dispose() {\n    var map = this.subplot.map;\n\n    for(var i = 0; i < this.order.length; i++) {\n        var k = this.order[i];\n        map.removeLayer(this.layerIds[k]);\n        map.removeSource(this.sourceIds[k]);\n    }\n};\n\nmodule.exports = function createScatterMapbox(subplot, calcTrace) {\n    var trace = calcTrace[0].trace;\n    var scatterMapbox = new ScatterMapbox(subplot, trace.uid);\n    var optsAll = convert(calcTrace);\n\n    for(var i = 0; i < scatterMapbox.order.length; i++) {\n        var k = scatterMapbox.order[i];\n        var opts = optsAll[k];\n\n        scatterMapbox.addSource(k, opts);\n        scatterMapbox.addLayer(k, opts);\n    }\n\n    // link ref for quick update during selections\n    calcTrace[0].trace._glTrace = scatterMapbox;\n\n    return scatterMapbox;\n};\n\n},{\"./convert\":1099}],1105:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar subtypes = _dereq_('../scatter/subtypes');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nmodule.exports = function selectPoints(searchInfo, selectionTester) {\n    var cd = searchInfo.cd;\n    var xa = searchInfo.xaxis;\n    var ya = searchInfo.yaxis;\n    var selection = [];\n    var trace = cd[0].trace;\n    var i;\n\n    if(!subtypes.hasMarkers(trace)) return [];\n\n    if(selectionTester === false) {\n        for(i = 0; i < cd.length; i++) {\n            cd[i].selected = 0;\n        }\n    } else {\n        for(i = 0; i < cd.length; i++) {\n            var di = cd[i];\n            var lonlat = di.lonlat;\n\n            if(lonlat[0] !== BADNUM) {\n                var lonlat2 = [Lib.modHalf(lonlat[0], 360), lonlat[1]];\n                var xy = [xa.c2p(lonlat2), ya.c2p(lonlat2)];\n\n                if(selectionTester.contains(xy, null, i, searchInfo)) {\n                    selection.push({\n                        pointNumber: i,\n                        lon: lonlat[0],\n                        lat: lonlat[1]\n                    });\n                    di.selected = 1;\n                } else {\n                    di.selected = 0;\n                }\n            }\n        }\n    }\n\n    return selection;\n};\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"../scatter/subtypes\":1068}],1106:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar plotAttrs = _dereq_('../../plots/attributes');\nvar lineAttrs = scatterAttrs.line;\n\nmodule.exports = {\n    mode: scatterAttrs.mode,\n\n    r: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n\n    theta: {\n        valType: 'data_array',\n        editType: 'calc+clearAxisTypes',\n        \n    },\n\n    r0: {\n        valType: 'any',\n        dflt: 0,\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    dr: {\n        valType: 'number',\n        dflt: 1,\n        \n        editType: 'calc',\n        \n    },\n\n    theta0: {\n        valType: 'any',\n        dflt: 0,\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    dtheta: {\n        valType: 'number',\n        \n        editType: 'calc',\n        \n    },\n\n    thetaunit: {\n        valType: 'enumerated',\n        values: ['radians', 'degrees', 'gradians'],\n        dflt: 'degrees',\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n\n    text: scatterAttrs.text,\n    hovertext: scatterAttrs.hovertext,\n\n    line: {\n        color: lineAttrs.color,\n        width: lineAttrs.width,\n        dash: lineAttrs.dash,\n        shape: extendFlat({}, lineAttrs.shape, {\n            values: ['linear', 'spline']\n        }),\n        smoothing: lineAttrs.smoothing,\n        editType: 'calc'\n    },\n    connectgaps: scatterAttrs.connectgaps,\n\n    marker: scatterAttrs.marker,\n    cliponaxis: extendFlat({}, scatterAttrs.cliponaxis, {dflt: false}),\n\n    textposition: scatterAttrs.textposition,\n    textfont: scatterAttrs.textfont,\n\n    fill: extendFlat({}, scatterAttrs.fill, {\n        values: ['none', 'toself', 'tonext'],\n        dflt: 'none',\n        \n    }),\n    fillcolor: scatterAttrs.fillcolor,\n\n    // TODO error bars\n    // https://stackoverflow.com/a/26597487/4068492\n    // error_x (error_r, error_theta)\n    // error_y\n\n    hoverinfo: extendFlat({}, plotAttrs.hoverinfo, {\n        flags: ['r', 'theta', 'text', 'name']\n    }),\n    hoveron: scatterAttrs.hoveron,\n\n    selected: scatterAttrs.selected,\n    unselected: scatterAttrs.unselected\n};\n\n},{\"../../lib/extend\":685,\"../../plots/attributes\":742,\"../scatter/attributes\":1044}],1107:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\nvar calcColorscale = _dereq_('../scatter/colorscale_calc');\nvar arraysToCalcdata = _dereq_('../scatter/arrays_to_calcdata');\nvar calcSelection = _dereq_('../scatter/calc_selection');\nvar calcMarkerSize = _dereq_('../scatter/calc').calcMarkerSize;\n\nmodule.exports = function calc(gd, trace) {\n    var fullLayout = gd._fullLayout;\n    var subplotId = trace.subplot;\n    var radialAxis = fullLayout[subplotId].radialaxis;\n    var angularAxis = fullLayout[subplotId].angularaxis;\n    var rArray = radialAxis.makeCalcdata(trace, 'r');\n    var thetaArray = angularAxis.makeCalcdata(trace, 'theta');\n    var len = trace._length;\n    var cd = new Array(len);\n\n    for(var i = 0; i < len; i++) {\n        var r = rArray[i];\n        var theta = thetaArray[i];\n        var cdi = cd[i] = {};\n\n        if(isNumeric(r) && isNumeric(theta)) {\n            cdi.r = r;\n            cdi.theta = theta;\n        } else {\n            cdi.r = BADNUM;\n        }\n    }\n\n    var ppad = calcMarkerSize(trace, len);\n    trace._extremes.x = Axes.findExtremes(radialAxis, rArray, {ppad: ppad});\n\n    calcColorscale(trace);\n    arraysToCalcdata(cd, trace);\n    calcSelection(cd, trace);\n\n    return cd;\n};\n\n},{\"../../constants/numerical\":673,\"../../plots/cartesian/axes\":745,\"../scatter/arrays_to_calcdata\":1043,\"../scatter/calc\":1045,\"../scatter/calc_selection\":1046,\"../scatter/colorscale_calc\":1047,\"fast-isnumeric\":214}],1108:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar subTypes = _dereq_('../scatter/subtypes');\nvar handleMarkerDefaults = _dereq_('../scatter/marker_defaults');\nvar handleLineDefaults = _dereq_('../scatter/line_defaults');\nvar handleLineShapeDefaults = _dereq_('../scatter/line_shape_defaults');\nvar handleTextDefaults = _dereq_('../scatter/text_defaults');\nvar handleFillColorDefaults = _dereq_('../scatter/fillcolor_defaults');\nvar PTS_LINESONLY = _dereq_('../scatter/constants').PTS_LINESONLY;\n\nvar attributes = _dereq_('./attributes');\n\nfunction supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var len = handleRThetaDefaults(traceIn, traceOut, layout, coerce);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('thetaunit');\n    coerce('mode', len < PTS_LINESONLY ? 'lines+markers' : 'lines');\n    coerce('text');\n    coerce('hovertext');\n\n    if(subTypes.hasLines(traceOut)) {\n        handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n        handleLineShapeDefaults(traceIn, traceOut, coerce);\n        coerce('connectgaps');\n    }\n\n    if(subTypes.hasMarkers(traceOut)) {\n        handleMarkerDefaults(traceIn, traceOut, defaultColor, layout, coerce, {gradient: true});\n    }\n\n    if(subTypes.hasText(traceOut)) {\n        handleTextDefaults(traceIn, traceOut, layout, coerce);\n    }\n\n    var dfltHoverOn = [];\n\n    if(subTypes.hasMarkers(traceOut) || subTypes.hasText(traceOut)) {\n        coerce('cliponaxis');\n        coerce('marker.maxdisplayed');\n        dfltHoverOn.push('points');\n    }\n\n    coerce('fill');\n\n    if(traceOut.fill !== 'none') {\n        handleFillColorDefaults(traceIn, traceOut, defaultColor, coerce);\n        if(!subTypes.hasLines(traceOut)) handleLineShapeDefaults(traceIn, traceOut, coerce);\n    }\n\n    if(traceOut.fill === 'tonext' || traceOut.fill === 'toself') {\n        dfltHoverOn.push('fills');\n    }\n    coerce('hoveron', dfltHoverOn.join('+') || 'points');\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n}\n\nfunction handleRThetaDefaults(traceIn, traceOut, layout, coerce) {\n    var r = coerce('r');\n    var theta = coerce('theta');\n    var len;\n\n    if(r) {\n        if(theta) {\n            len = Math.min(r.length, theta.length);\n        } else {\n            len = r.length;\n            coerce('theta0');\n            coerce('dtheta');\n        }\n    } else {\n        if(!theta) return 0;\n        len = traceOut.theta.length;\n        coerce('r0');\n        coerce('dr');\n    }\n\n    traceOut._length = len;\n    return len;\n}\n\nmodule.exports = {\n    handleRThetaDefaults: handleRThetaDefaults,\n    supplyDefaults: supplyDefaults\n};\n\n},{\"../../lib\":696,\"../scatter/constants\":1048,\"../scatter/fillcolor_defaults\":1053,\"../scatter/line_defaults\":1057,\"../scatter/line_shape_defaults\":1059,\"../scatter/marker_defaults\":1063,\"../scatter/subtypes\":1068,\"../scatter/text_defaults\":1069,\"./attributes\":1106}],1109:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterHover = _dereq_('../scatter/hover');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar Lib = _dereq_('../../lib');\n\nfunction hoverPoints(pointData, xval, yval, hovermode) {\n    var scatterPointData = scatterHover(pointData, xval, yval, hovermode);\n    if(!scatterPointData || scatterPointData[0].index === false) return;\n\n    var newPointData = scatterPointData[0];\n\n    // hovering on fill case\n    if(newPointData.index === undefined) {\n        return scatterPointData;\n    }\n\n    var subplot = pointData.subplot;\n    var cdi = newPointData.cd[newPointData.index];\n    var trace = newPointData.trace;\n\n    if(!subplot.isPtInside(cdi)) return;\n\n    newPointData.xLabelVal = undefined;\n    newPointData.yLabelVal = undefined;\n    makeHoverPointText(cdi, trace, subplot, newPointData);\n\n    return scatterPointData;\n}\n\nfunction makeHoverPointText(cdi, trace, subplot, pointData) {\n    var radialAxis = subplot.radialAxis;\n    var angularAxis = subplot.angularAxis;\n    var hoverinfo = cdi.hi || trace.hoverinfo;\n    var parts = hoverinfo.split('+');\n    var text = [];\n\n    radialAxis._hovertitle = 'r';\n    angularAxis._hovertitle = 'θ';\n\n    function textPart(ax, val) {\n        text.push(ax._hovertitle + ': ' + Axes.tickText(ax, val, 'hover').text);\n    }\n\n    if(parts.indexOf('all') !== -1) parts = ['r', 'theta', 'text'];\n    if(parts.indexOf('r') !== -1) {\n        textPart(radialAxis, radialAxis.c2l(cdi.r));\n    }\n    if(parts.indexOf('theta') !== -1) {\n        var theta = cdi.theta;\n        textPart(\n            angularAxis,\n            angularAxis.thetaunit === 'degrees' ? Lib.rad2deg(theta) : theta\n        );\n    }\n    if(parts.indexOf('text') !== -1 && pointData.text) {\n        text.push(pointData.text);\n        delete pointData.text;\n    }\n\n    pointData.extraText = text.join('<br>');\n}\n\nmodule.exports = {\n    hoverPoints: hoverPoints,\n    makeHoverPointText: makeHoverPointText\n};\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../scatter/hover\":1055}],1110:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    moduleType: 'trace',\n    name: 'scatterpolar',\n    basePlotModule: _dereq_('../../plots/polar'),\n    categories: ['polar', 'symbols', 'showLegend', 'scatter-like'],\n\n    attributes: _dereq_('./attributes'),\n    supplyDefaults: _dereq_('./defaults').supplyDefaults,\n    colorbar: _dereq_('../scatter/marker_colorbar'),\n    calc: _dereq_('./calc'),\n    plot: _dereq_('./plot'),\n    style: _dereq_('../scatter/style').style,\n    hoverPoints: _dereq_('./hover').hoverPoints,\n    selectPoints: _dereq_('../scatter/select'),\n\n    meta: {\n        \n        \n    }\n};\n\n},{\"../../plots/polar\":812,\"../scatter/marker_colorbar\":1062,\"../scatter/select\":1065,\"../scatter/style\":1067,\"./attributes\":1106,\"./calc\":1107,\"./defaults\":1108,\"./hover\":1109,\"./plot\":1111}],1111:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterPlot = _dereq_('../scatter/plot');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nmodule.exports = function plot(gd, subplot, moduleCalcData) {\n    var mlayer = subplot.layers.frontplot.select('g.scatterlayer');\n\n    var plotinfo = {\n        xaxis: subplot.xaxis,\n        yaxis: subplot.yaxis,\n        plot: subplot.framework,\n        layerClipId: subplot._hasClipOnAxisFalse ? subplot.clipIds.forTraces : null\n    };\n\n    var radialAxis = subplot.radialAxis;\n    var angularAxis = subplot.angularAxis;\n\n    // convert:\n    // 'c' (r,theta) -> 'geometric' (r,theta) -> (x,y)\n    for(var i = 0; i < moduleCalcData.length; i++) {\n        var cdi = moduleCalcData[i];\n\n        for(var j = 0; j < cdi.length; j++) {\n            var cd = cdi[j];\n            var r = cd.r;\n\n            if(r === BADNUM) {\n                cd.x = cd.y = BADNUM;\n            } else {\n                var rg = radialAxis.c2g(r);\n                var thetag = angularAxis.c2g(cd.theta);\n                cd.x = rg * Math.cos(thetag);\n                cd.y = rg * Math.sin(thetag);\n            }\n        }\n    }\n\n    scatterPlot(gd, plotinfo, moduleCalcData, mlayer);\n};\n\n},{\"../../constants/numerical\":673,\"../scatter/plot\":1064}],1112:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterPolarAttrs = _dereq_('../scatterpolar/attributes');\nvar scatterGlAttrs = _dereq_('../scattergl/attributes');\n\nmodule.exports = {\n    mode: scatterPolarAttrs.mode,\n    r: scatterPolarAttrs.r,\n    theta: scatterPolarAttrs.theta,\n    r0: scatterPolarAttrs.r0,\n    dr: scatterPolarAttrs.dr,\n    theta0: scatterPolarAttrs.theta0,\n    dtheta: scatterPolarAttrs.dtheta,\n    thetaunit: scatterPolarAttrs.thetaunit,\n\n    text: scatterPolarAttrs.text,\n    hovertext: scatterPolarAttrs.hovertext,\n\n    line: scatterGlAttrs.line,\n    connectgaps: scatterGlAttrs.connectgaps,\n\n    marker: scatterGlAttrs.marker,\n    // no cliponaxis\n\n    fill: scatterGlAttrs.fill,\n    fillcolor: scatterGlAttrs.fillcolor,\n\n    textposition: scatterGlAttrs.textposition,\n    textfont: scatterGlAttrs.textfont,\n\n    hoverinfo: scatterPolarAttrs.hoverinfo,\n    // no hoveron\n\n    selected: scatterPolarAttrs.selected,\n    unselected: scatterPolarAttrs.unselected\n};\n\n},{\"../scattergl/attributes\":1093,\"../scatterpolar/attributes\":1106}],1113:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar subTypes = _dereq_('../scatter/subtypes');\nvar handleRThetaDefaults = _dereq_('../scatterpolar/defaults').handleRThetaDefaults;\nvar handleMarkerDefaults = _dereq_('../scatter/marker_defaults');\nvar handleLineDefaults = _dereq_('../scatter/line_defaults');\nvar handleTextDefaults = _dereq_('../scatter/text_defaults');\nvar handleFillColorDefaults = _dereq_('../scatter/fillcolor_defaults');\nvar PTS_LINESONLY = _dereq_('../scatter/constants').PTS_LINESONLY;\n\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var len = handleRThetaDefaults(traceIn, traceOut, layout, coerce);\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('thetaunit');\n    coerce('mode', len < PTS_LINESONLY ? 'lines+markers' : 'lines');\n    coerce('text');\n    coerce('hovertext');\n\n    if(subTypes.hasLines(traceOut)) {\n        handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n        coerce('connectgaps');\n    }\n\n    if(subTypes.hasMarkers(traceOut)) {\n        handleMarkerDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n    }\n\n    if(subTypes.hasText(traceOut)) {\n        handleTextDefaults(traceIn, traceOut, layout, coerce);\n    }\n\n    coerce('fill');\n    if(traceOut.fill !== 'none') {\n        handleFillColorDefaults(traceIn, traceOut, defaultColor, coerce);\n    }\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\n},{\"../../lib\":696,\"../scatter/constants\":1048,\"../scatter/fillcolor_defaults\":1053,\"../scatter/line_defaults\":1057,\"../scatter/marker_defaults\":1063,\"../scatter/subtypes\":1068,\"../scatter/text_defaults\":1069,\"../scatterpolar/defaults\":1108,\"./attributes\":1112}],1114:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar cluster = _dereq_('point-cluster');\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar ScatterGl = _dereq_('../scattergl');\nvar calcColorscales = _dereq_('../scatter/colorscale_calc');\nvar calcMarkerSize = _dereq_('../scatter/calc').calcMarkerSize;\nvar convert = _dereq_('../scattergl/convert');\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar makeHoverPointText = _dereq_('../scatterpolar/hover').makeHoverPointText;\n\nvar TOO_MANY_POINTS = _dereq_('../scattergl/constants').TOO_MANY_POINTS;\n\nfunction calc(gd, trace) {\n    var fullLayout = gd._fullLayout;\n    var subplotId = trace.subplot;\n    var radialAxis = fullLayout[subplotId].radialaxis;\n    var angularAxis = fullLayout[subplotId].angularaxis;\n    var rArray = radialAxis.makeCalcdata(trace, 'r');\n    var thetaArray = angularAxis.makeCalcdata(trace, 'theta');\n    var len = trace._length;\n    var stash = {};\n\n    if(len < rArray.length) rArray = rArray.slice(0, len);\n    if(len < thetaArray.length) thetaArray = thetaArray.slice(0, len);\n\n    stash.r = rArray;\n    stash.theta = thetaArray;\n\n    calcColorscales(trace);\n\n    // only compute 'style' options in calc, as position options\n    // depend on the radial range and must be set in plot\n    var opts = stash.opts = convert.style(gd, trace);\n\n    // For graphs with very large number of points and array marker.size,\n    // use average marker size instead to speed things up.\n    var ppad = len < TOO_MANY_POINTS ?\n        calcMarkerSize(trace, len) :\n        2 * (opts.marker.sizeAvg || Math.max(opts.marker.size, 3));\n    trace._extremes.x = Axes.findExtremes(radialAxis, rArray, {ppad: ppad});\n\n    return [{x: false, y: false, t: stash, trace: trace}];\n}\n\nfunction plot(gd, subplot, cdata) {\n    if(!cdata.length) return;\n\n    var radialAxis = subplot.radialAxis;\n    var angularAxis = subplot.angularAxis;\n    var scene = ScatterGl.sceneUpdate(gd, subplot);\n\n    cdata.forEach(function(cdscatter) {\n        if(!cdscatter || !cdscatter[0] || !cdscatter[0].trace) return;\n        var cd = cdscatter[0];\n        var trace = cd.trace;\n        var stash = cd.t;\n        var len = trace._length;\n        var rArray = stash.r;\n        var thetaArray = stash.theta;\n        var opts = stash.opts;\n        var i;\n\n        var subRArray = rArray.slice();\n        var subThetaArray = thetaArray.slice();\n\n        // filter out by range\n        for(i = 0; i < rArray.length; i++) {\n            if(!subplot.isPtInside({r: rArray[i], theta: thetaArray[i]})) {\n                subRArray[i] = NaN;\n                subThetaArray[i] = NaN;\n            }\n        }\n\n        var positions = new Array(len * 2);\n        var x = Array(len);\n        var y = Array(len);\n\n        for(i = 0; i < len; i++) {\n            var r = subRArray[i];\n            var xx, yy;\n\n            if(isNumeric(r)) {\n                var rg = radialAxis.c2g(r);\n                var thetag = angularAxis.c2g(subThetaArray[i], trace.thetaunit);\n                xx = rg * Math.cos(thetag);\n                yy = rg * Math.sin(thetag);\n            } else {\n                xx = yy = NaN;\n            }\n            x[i] = positions[i * 2] = xx;\n            y[i] = positions[i * 2 + 1] = yy;\n        }\n\n        stash.tree = cluster(positions);\n\n        // FIXME: see scattergl.js#109\n        if(opts.marker && len >= TOO_MANY_POINTS) {\n            opts.marker.cluster = stash.tree;\n        }\n\n        if(opts.marker) {\n            opts.markerSel.positions = opts.markerUnsel.positions = opts.marker.positions = positions;\n        }\n\n        if(opts.line && positions.length > 1) {\n            Lib.extendFlat(\n                opts.line,\n                convert.linePositions(gd, trace, positions)\n            );\n        }\n\n        if(opts.text) {\n            Lib.extendFlat(\n                opts.text,\n                {positions: positions},\n                convert.textPosition(gd, trace, opts.text, opts.marker)\n            );\n            Lib.extendFlat(\n                opts.textSel,\n                {positions: positions},\n                convert.textPosition(gd, trace, opts.text, opts.markerSel)\n            );\n            Lib.extendFlat(\n                opts.textUnsel,\n                {positions: positions},\n                convert.textPosition(gd, trace, opts.text, opts.markerUnsel)\n            );\n        }\n\n        if(opts.fill && !scene.fill2d) scene.fill2d = true;\n        if(opts.marker && !scene.scatter2d) scene.scatter2d = true;\n        if(opts.line && !scene.line2d) scene.line2d = true;\n        if(opts.text && !scene.glText) scene.glText = true;\n\n        scene.lineOptions.push(opts.line);\n        scene.fillOptions.push(opts.fill);\n        scene.markerOptions.push(opts.marker);\n        scene.markerSelectedOptions.push(opts.markerSel);\n        scene.markerUnselectedOptions.push(opts.markerUnsel);\n        scene.textOptions.push(opts.text);\n        scene.textSelectedOptions.push(opts.textSel);\n        scene.textUnselectedOptions.push(opts.textUnsel);\n\n        stash.x = x;\n        stash.y = y;\n        stash.rawx = x;\n        stash.rawy = y;\n        stash.r = rArray;\n        stash.theta = thetaArray;\n        stash.positions = positions;\n        stash._scene = scene;\n        stash.index = scene.count;\n        scene.count++;\n    });\n\n    return ScatterGl.plot(gd, subplot, cdata);\n}\n\nfunction hoverPoints(pointData, xval, yval, hovermode) {\n    var cd = pointData.cd;\n    var stash = cd[0].t;\n    var rArray = stash.r;\n    var thetaArray = stash.theta;\n\n    var scatterPointData = ScatterGl.hoverPoints(pointData, xval, yval, hovermode);\n    if(!scatterPointData || scatterPointData[0].index === false) return;\n\n    var newPointData = scatterPointData[0];\n\n    if(newPointData.index === undefined) {\n        return scatterPointData;\n    }\n\n    var subplot = pointData.subplot;\n    var cdi = newPointData.cd[newPointData.index];\n    var trace = newPointData.trace;\n\n    // augment pointData with r/theta param\n    cdi.r = rArray[newPointData.index];\n    cdi.theta = thetaArray[newPointData.index];\n\n    if(!subplot.isPtInside(cdi)) return;\n\n    newPointData.xLabelVal = undefined;\n    newPointData.yLabelVal = undefined;\n    makeHoverPointText(cdi, trace, subplot, newPointData);\n\n    return scatterPointData;\n}\n\nmodule.exports = {\n    moduleType: 'trace',\n    name: 'scatterpolargl',\n    basePlotModule: _dereq_('../../plots/polar'),\n    categories: ['gl', 'regl', 'polar', 'symbols', 'showLegend', 'scatter-like'],\n\n    attributes: _dereq_('./attributes'),\n    supplyDefaults: _dereq_('./defaults'),\n    colorbar: _dereq_('../scatter/marker_colorbar'),\n\n    calc: calc,\n    plot: plot,\n    hoverPoints: hoverPoints,\n    selectPoints: ScatterGl.selectPoints,\n\n    meta: {\n        \n        \n    }\n};\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../../plots/polar\":812,\"../scatter/calc\":1045,\"../scatter/colorscale_calc\":1047,\"../scatter/marker_colorbar\":1062,\"../scattergl\":1097,\"../scattergl/constants\":1094,\"../scattergl/convert\":1095,\"../scatterpolar/hover\":1109,\"./attributes\":1112,\"./defaults\":1113,\"fast-isnumeric\":214,\"point-cluster\":452}],1115:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar plotAttrs = _dereq_('../../plots/attributes');\nvar colorAttributes = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\nvar dash = _dereq_('../../components/drawing/attributes').dash;\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar scatterMarkerAttrs = scatterAttrs.marker,\n    scatterLineAttrs = scatterAttrs.line,\n    scatterMarkerLineAttrs = scatterMarkerAttrs.line;\n\nmodule.exports = {\n    a: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    b: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    c: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    sum: {\n        valType: 'number',\n        \n        dflt: 0,\n        min: 0,\n        editType: 'calc',\n        \n    },\n    mode: extendFlat({}, scatterAttrs.mode, {dflt: 'markers'}),\n    text: extendFlat({}, scatterAttrs.text, {\n        \n    }),\n    hovertext: extendFlat({}, scatterAttrs.hovertext, {\n        \n    }),\n    line: {\n        color: scatterLineAttrs.color,\n        width: scatterLineAttrs.width,\n        dash: dash,\n        shape: extendFlat({}, scatterLineAttrs.shape,\n            {values: ['linear', 'spline']}),\n        smoothing: scatterLineAttrs.smoothing,\n        editType: 'calc'\n    },\n    connectgaps: scatterAttrs.connectgaps,\n    cliponaxis: scatterAttrs.cliponaxis,\n    fill: extendFlat({}, scatterAttrs.fill, {\n        values: ['none', 'toself', 'tonext'],\n        dflt: 'none',\n        \n    }),\n    fillcolor: scatterAttrs.fillcolor,\n    marker: extendFlat({\n        symbol: scatterMarkerAttrs.symbol,\n        opacity: scatterMarkerAttrs.opacity,\n        maxdisplayed: scatterMarkerAttrs.maxdisplayed,\n        size: scatterMarkerAttrs.size,\n        sizeref: scatterMarkerAttrs.sizeref,\n        sizemin: scatterMarkerAttrs.sizemin,\n        sizemode: scatterMarkerAttrs.sizemode,\n        line: extendFlat({\n            width: scatterMarkerLineAttrs.width,\n            editType: 'calc'\n        },\n            colorAttributes('marker.line')\n        ),\n        gradient: scatterMarkerAttrs.gradient,\n        editType: 'calc'\n    }, colorAttributes('marker'), {\n        colorbar: colorbarAttrs\n    }),\n\n    textfont: scatterAttrs.textfont,\n    textposition: scatterAttrs.textposition,\n\n    selected: scatterAttrs.selected,\n    unselected: scatterAttrs.unselected,\n\n    hoverinfo: extendFlat({}, plotAttrs.hoverinfo, {\n        flags: ['a', 'b', 'c', 'text', 'name']\n    }),\n    hoveron: scatterAttrs.hoveron,\n};\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../components/drawing/attributes\":594,\"../../lib/extend\":685,\"../../plots/attributes\":742,\"../scatter/attributes\":1044}],1116:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar isNumeric = _dereq_('fast-isnumeric');\n\nvar calcColorscale = _dereq_('../scatter/colorscale_calc');\nvar arraysToCalcdata = _dereq_('../scatter/arrays_to_calcdata');\nvar calcSelection = _dereq_('../scatter/calc_selection');\nvar calcMarkerSize = _dereq_('../scatter/calc').calcMarkerSize;\n\nvar dataArrays = ['a', 'b', 'c'];\nvar arraysToFill = {a: ['b', 'c'], b: ['a', 'c'], c: ['a', 'b']};\n\nmodule.exports = function calc(gd, trace) {\n    var ternary = gd._fullLayout[trace.subplot];\n    var displaySum = ternary.sum;\n    var normSum = trace.sum || displaySum;\n    var arrays = {a: trace.a, b: trace.b, c: trace.c};\n\n    var i, j, dataArray, newArray, fillArray1, fillArray2;\n\n    // fill in one missing component\n    for(i = 0; i < dataArrays.length; i++) {\n        dataArray = dataArrays[i];\n        if(arrays[dataArray]) continue;\n\n        fillArray1 = arrays[arraysToFill[dataArray][0]];\n        fillArray2 = arrays[arraysToFill[dataArray][1]];\n        newArray = new Array(fillArray1.length);\n        for(j = 0; j < fillArray1.length; j++) {\n            newArray[j] = normSum - fillArray1[j] - fillArray2[j];\n        }\n        arrays[dataArray] = newArray;\n    }\n\n    // make the calcdata array\n    var serieslen = trace._length;\n    var cd = new Array(serieslen);\n    var a, b, c, norm, x, y;\n    for(i = 0; i < serieslen; i++) {\n        a = arrays.a[i];\n        b = arrays.b[i];\n        c = arrays.c[i];\n        if(isNumeric(a) && isNumeric(b) && isNumeric(c)) {\n            a = +a;\n            b = +b;\n            c = +c;\n            norm = displaySum / (a + b + c);\n            if(norm !== 1) {\n                a *= norm;\n                b *= norm;\n                c *= norm;\n            }\n            // map a, b, c onto x and y where the full scale of y\n            // is [0, sum], and x is [-sum, sum]\n            // TODO: this makes `a` always the top, `b` the bottom left,\n            // and `c` the bottom right. Do we want options to rearrange\n            // these?\n            y = a;\n            x = c - b;\n            cd[i] = {x: x, y: y, a: a, b: b, c: c};\n        }\n        else cd[i] = {x: false, y: false};\n    }\n\n    calcMarkerSize(trace, serieslen);\n    calcColorscale(trace);\n    arraysToCalcdata(cd, trace);\n    calcSelection(cd, trace);\n\n    return cd;\n};\n\n},{\"../scatter/arrays_to_calcdata\":1043,\"../scatter/calc\":1045,\"../scatter/calc_selection\":1046,\"../scatter/colorscale_calc\":1047,\"fast-isnumeric\":214}],1117:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar constants = _dereq_('../scatter/constants');\nvar subTypes = _dereq_('../scatter/subtypes');\nvar handleMarkerDefaults = _dereq_('../scatter/marker_defaults');\nvar handleLineDefaults = _dereq_('../scatter/line_defaults');\nvar handleLineShapeDefaults = _dereq_('../scatter/line_shape_defaults');\nvar handleTextDefaults = _dereq_('../scatter/text_defaults');\nvar handleFillColorDefaults = _dereq_('../scatter/fillcolor_defaults');\n\nvar attributes = _dereq_('./attributes');\n\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var a = coerce('a'),\n        b = coerce('b'),\n        c = coerce('c'),\n        len;\n\n    // allow any one array to be missing, len is the minimum length of those\n    // present. Note that after coerce data_array's are either Arrays (which\n    // are truthy even if empty) or undefined. As in scatter, an empty array\n    // is different from undefined, because it can signify that this data is\n    // not known yet but expected in the future\n    if(a) {\n        len = a.length;\n        if(b) {\n            len = Math.min(len, b.length);\n            if(c) len = Math.min(len, c.length);\n        }\n        else if(c) len = Math.min(len, c.length);\n        else len = 0;\n    }\n    else if(b && c) {\n        len = Math.min(b.length, c.length);\n    }\n\n    if(!len) {\n        traceOut.visible = false;\n        return;\n    }\n\n    traceOut._length = len;\n\n    coerce('sum');\n\n    coerce('text');\n    coerce('hovertext');\n\n    var defaultMode = len < constants.PTS_LINESONLY ? 'lines+markers' : 'lines';\n    coerce('mode', defaultMode);\n\n    if(subTypes.hasLines(traceOut)) {\n        handleLineDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n        handleLineShapeDefaults(traceIn, traceOut, coerce);\n        coerce('connectgaps');\n    }\n\n    if(subTypes.hasMarkers(traceOut)) {\n        handleMarkerDefaults(traceIn, traceOut, defaultColor, layout, coerce, {gradient: true});\n    }\n\n    if(subTypes.hasText(traceOut)) {\n        handleTextDefaults(traceIn, traceOut, layout, coerce);\n    }\n\n    var dfltHoverOn = [];\n\n    if(subTypes.hasMarkers(traceOut) || subTypes.hasText(traceOut)) {\n        coerce('cliponaxis');\n        coerce('marker.maxdisplayed');\n        dfltHoverOn.push('points');\n    }\n\n    coerce('fill');\n    if(traceOut.fill !== 'none') {\n        handleFillColorDefaults(traceIn, traceOut, defaultColor, coerce);\n        if(!subTypes.hasLines(traceOut)) handleLineShapeDefaults(traceIn, traceOut, coerce);\n    }\n\n    if(traceOut.fill === 'tonext' || traceOut.fill === 'toself') {\n        dfltHoverOn.push('fills');\n    }\n    coerce('hoveron', dfltHoverOn.join('+') || 'points');\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\n},{\"../../lib\":696,\"../scatter/constants\":1048,\"../scatter/fillcolor_defaults\":1053,\"../scatter/line_defaults\":1057,\"../scatter/line_shape_defaults\":1059,\"../scatter/marker_defaults\":1063,\"../scatter/subtypes\":1068,\"../scatter/text_defaults\":1069,\"./attributes\":1115}],1118:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = function eventData(out, pt, trace, cd, pointNumber) {\n    if(pt.xa) out.xaxis = pt.xa;\n    if(pt.ya) out.yaxis = pt.ya;\n\n    if(cd[pointNumber]) {\n        var cdi = cd[pointNumber];\n\n        // N.B. These are the normalized coordinates.\n        out.a = cdi.a;\n        out.b = cdi.b;\n        out.c = cdi.c;\n    } else {\n        // for fill-hover only\n        out.a = pt.a;\n        out.b = pt.b;\n        out.c = pt.c;\n    }\n\n    return out;\n};\n\n},{}],1119:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar scatterHover = _dereq_('../scatter/hover');\nvar Axes = _dereq_('../../plots/cartesian/axes');\n\n\nmodule.exports = function hoverPoints(pointData, xval, yval, hovermode) {\n    var scatterPointData = scatterHover(pointData, xval, yval, hovermode);\n    if(!scatterPointData || scatterPointData[0].index === false) return;\n\n    var newPointData = scatterPointData[0];\n\n    // if hovering on a fill, we don't show any point data so the label is\n    // unchanged from what scatter gives us - except that it needs to\n    // be constrained to the trianglular plot area, not just the rectangular\n    // area defined by the synthetic x and y axes\n    // TODO: in some cases the vertical middle of the shape is not within\n    // the triangular viewport at all, so the label can become disconnected\n    // from the shape entirely. But calculating what portion of the shape\n    // is actually visible, as constrained by the diagonal axis lines, is not\n    // so easy and anyway we lost the information we would have needed to do\n    // this inside scatterHover.\n    if(newPointData.index === undefined) {\n        var yFracUp = 1 - (newPointData.y0 / pointData.ya._length),\n            xLen = pointData.xa._length,\n            xMin = xLen * yFracUp / 2,\n            xMax = xLen - xMin;\n        newPointData.x0 = Math.max(Math.min(newPointData.x0, xMax), xMin);\n        newPointData.x1 = Math.max(Math.min(newPointData.x1, xMax), xMin);\n        return scatterPointData;\n    }\n\n    var cdi = newPointData.cd[newPointData.index];\n\n    newPointData.a = cdi.a;\n    newPointData.b = cdi.b;\n    newPointData.c = cdi.c;\n\n    newPointData.xLabelVal = undefined;\n    newPointData.yLabelVal = undefined;\n    // TODO: nice formatting, and label by axis title, for a, b, and c?\n\n    var trace = newPointData.trace;\n    var ternary = newPointData.subplot;\n    var hoverinfo = cdi.hi || trace.hoverinfo;\n    var parts = hoverinfo.split('+');\n    var text = [];\n\n    function textPart(ax, val) {\n        text.push(ax._hovertitle + ': ' + Axes.tickText(ax, val, 'hover').text);\n    }\n\n    if(parts.indexOf('all') !== -1) parts = ['a', 'b', 'c'];\n    if(parts.indexOf('a') !== -1) textPart(ternary.aaxis, cdi.a);\n    if(parts.indexOf('b') !== -1) textPart(ternary.baxis, cdi.b);\n    if(parts.indexOf('c') !== -1) textPart(ternary.caxis, cdi.c);\n\n    newPointData.extraText = text.join('<br>');\n\n    return scatterPointData;\n};\n\n},{\"../../plots/cartesian/axes\":745,\"../scatter/hover\":1055}],1120:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar ScatterTernary = {};\n\nScatterTernary.attributes = _dereq_('./attributes');\nScatterTernary.supplyDefaults = _dereq_('./defaults');\nScatterTernary.colorbar = _dereq_('../scatter/marker_colorbar');\nScatterTernary.calc = _dereq_('./calc');\nScatterTernary.plot = _dereq_('./plot');\nScatterTernary.style = _dereq_('../scatter/style').style;\nScatterTernary.styleOnSelect = _dereq_('../scatter/style').styleOnSelect;\nScatterTernary.hoverPoints = _dereq_('./hover');\nScatterTernary.selectPoints = _dereq_('../scatter/select');\nScatterTernary.eventData = _dereq_('./event_data');\n\nScatterTernary.moduleType = 'trace';\nScatterTernary.name = 'scatterternary';\nScatterTernary.basePlotModule = _dereq_('../../plots/ternary');\nScatterTernary.categories = ['ternary', 'symbols', 'showLegend', 'scatter-like'];\nScatterTernary.meta = {\n    \n    \n};\n\nmodule.exports = ScatterTernary;\n\n},{\"../../plots/ternary\":824,\"../scatter/marker_colorbar\":1062,\"../scatter/select\":1065,\"../scatter/style\":1067,\"./attributes\":1115,\"./calc\":1116,\"./defaults\":1117,\"./event_data\":1118,\"./hover\":1119,\"./plot\":1121}],1121:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar scatterPlot = _dereq_('../scatter/plot');\n\nmodule.exports = function plot(gd, ternary, moduleCalcData) {\n    var plotContainer = ternary.plotContainer;\n\n    // remove all nodes inside the scatter layer\n    plotContainer.select('.scatterlayer').selectAll('*').remove();\n\n    // mimic cartesian plotinfo\n    var plotinfo = {\n        xaxis: ternary.xaxis,\n        yaxis: ternary.yaxis,\n        plot: plotContainer,\n        layerClipId: ternary._hasClipOnAxisFalse ? ternary.clipIdRelative : null\n    };\n\n    var scatterLayer = ternary.layers.frontplot.select('g.scatterlayer');\n\n    scatterPlot(gd, plotinfo, moduleCalcData, scatterLayer);\n};\n\n},{\"../scatter/plot\":1064}],1122:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar scatterAttrs = _dereq_('../scatter/attributes');\nvar colorAttrs = _dereq_('../../components/colorscale/attributes');\nvar scatterGlAttrs = _dereq_('../scattergl/attributes');\nvar cartesianIdRegex = _dereq_('../../plots/cartesian/constants').idRegex;\nvar templatedArray = _dereq_('../../plot_api/plot_template').templatedArray;\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar scatterMarkerAttrs = scatterAttrs.marker;\nvar scatterMarkerLineAttrs = scatterMarkerAttrs.line;\n\nvar markerLineAttrs = extendFlat(colorAttrs('marker.line', {editTypeOverride: 'calc'}), {\n    width: extendFlat({}, scatterMarkerLineAttrs.width, {editType: 'calc'}),\n    editType: 'calc'\n});\n\nvar markerAttrs = extendFlat(colorAttrs('marker'), {\n    symbol: scatterMarkerAttrs.symbol,\n    size: extendFlat({}, scatterMarkerAttrs.size, {editType: 'markerSize'}),\n    sizeref: scatterMarkerAttrs.sizeref,\n    sizemin: scatterMarkerAttrs.sizemin,\n    sizemode: scatterMarkerAttrs.sizemode,\n    opacity: scatterMarkerAttrs.opacity,\n    colorbar: scatterMarkerAttrs.colorbar,\n    line: markerLineAttrs,\n    editType: 'calc'\n});\n\nmarkerAttrs.color.editType = markerAttrs.cmin.editType = markerAttrs.cmax.editType = 'style';\n\nfunction makeAxesValObject(axLetter) {\n    return {\n        valType: 'info_array',\n        freeLength: true,\n        \n        editType: 'calc',\n        items: {\n            valType: 'subplotid',\n            regex: cartesianIdRegex[axLetter],\n            editType: 'plot'\n        },\n        \n    };\n}\n\nmodule.exports = {\n    dimensions: templatedArray('dimension', {\n        visible: {\n            valType: 'boolean',\n            \n            dflt: true,\n            editType: 'calc',\n            \n        },\n        label: {\n            valType: 'string',\n            \n            editType: 'calc',\n            \n        },\n        values: {\n            valType: 'data_array',\n            \n            editType: 'calc+clearAxisTypes',\n            \n        },\n\n        axis: {\n            type: {\n                valType: 'enumerated',\n                values: ['linear', 'log', 'date', 'category'],\n                \n                editType: 'calc+clearAxisTypes',\n                \n            },\n\n            editType: 'calc+clearAxisTypes'\n        },\n\n        // TODO should add an attribute to pin down x only vars and y only vars\n        // like https://seaborn.pydata.org/generated/seaborn.pairplot.html\n        // x_vars and y_vars\n\n        // maybe more axis defaulting option e.g. `showgrid: false`\n\n        editType: 'calc+clearAxisTypes'\n    }),\n\n    // mode: {}, (only 'markers' for now)\n\n    text: extendFlat({}, scatterGlAttrs.text, {\n        \n    }),\n\n    marker: markerAttrs,\n\n    xaxes: makeAxesValObject('x'),\n    yaxes: makeAxesValObject('y'),\n\n    diagonal: {\n        visible: {\n            valType: 'boolean',\n            \n            dflt: true,\n            editType: 'calc',\n            \n        },\n\n        // type: 'scattergl' | 'histogram' | 'box' | 'violin'\n        // ...\n        // more options\n\n        editType: 'calc'\n    },\n\n    showupperhalf: {\n        valType: 'boolean',\n        \n        dflt: true,\n        editType: 'calc',\n        \n    },\n    showlowerhalf: {\n        valType: 'boolean',\n        \n        dflt: true,\n        editType: 'calc',\n        \n    },\n\n    selected: {\n        marker: scatterGlAttrs.selected.marker,\n        editType: 'calc'\n    },\n    unselected: {\n        marker: scatterGlAttrs.unselected.marker,\n        editType: 'calc'\n    },\n\n    opacity: scatterGlAttrs.opacity\n};\n\n},{\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plot_api/plot_template\":735,\"../../plots/cartesian/constants\":751,\"../scatter/attributes\":1044,\"../scattergl/attributes\":1093}],1123:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar createLine = _dereq_('regl-line2d');\n\nvar Registry = _dereq_('../../registry');\nvar prepareRegl = _dereq_('../../lib/prepare_regl');\nvar getModuleCalcData = _dereq_('../../plots/get_data').getModuleCalcData;\nvar Cartesian = _dereq_('../../plots/cartesian');\nvar getFromId = _dereq_('../../plots/cartesian/axis_ids').getFromId;\nvar shouldShowZeroLine = _dereq_('../../plots/cartesian/axes').shouldShowZeroLine;\n\nvar SPLOM = 'splom';\n\nfunction plot(gd) {\n    var fullLayout = gd._fullLayout;\n    var _module = Registry.getModule(SPLOM);\n    var splomCalcData = getModuleCalcData(gd.calcdata, _module)[0];\n\n    var success = prepareRegl(gd, ['ANGLE_instanced_arrays', 'OES_element_index_uint']);\n    if(!success) return;\n\n    if(fullLayout._hasOnlyLargeSploms) {\n        updateGrid(gd);\n    }\n\n    _module.plot(gd, {}, splomCalcData);\n}\n\nfunction drag(gd) {\n    var cd = gd.calcdata;\n    var fullLayout = gd._fullLayout;\n\n    if(fullLayout._hasOnlyLargeSploms) {\n        updateGrid(gd);\n    }\n\n    for(var i = 0; i < cd.length; i++) {\n        var cd0 = cd[i][0];\n        var trace = cd0.trace;\n        var scene = fullLayout._splomScenes[trace.uid];\n\n        if(trace.type === 'splom' && scene && scene.matrix) {\n            dragOne(gd, trace, scene);\n        }\n    }\n}\n\nfunction dragOne(gd, trace, scene) {\n    var visibleLength = scene.matrixOptions.data.length;\n    var visibleDims = trace._visibleDims;\n    var ranges = scene.viewOpts.ranges = new Array(visibleLength);\n\n    for(var k = 0; k < visibleDims.length; k++) {\n        var i = visibleDims[k];\n        var rng = ranges[k] = new Array(4);\n\n        var xa = getFromId(gd, trace._diag[i][0]);\n        if(xa) {\n            rng[0] = xa.r2l(xa.range[0]);\n            rng[2] = xa.r2l(xa.range[1]);\n        }\n\n        var ya = getFromId(gd, trace._diag[i][1]);\n        if(ya) {\n            rng[1] = ya.r2l(ya.range[0]);\n            rng[3] = ya.r2l(ya.range[1]);\n        }\n    }\n\n    if(scene.selectBatch) {\n        scene.matrix.update({ranges: ranges}, {ranges: ranges});\n    } else {\n        scene.matrix.update({ranges: ranges});\n    }\n}\n\nfunction updateGrid(gd) {\n    var fullLayout = gd._fullLayout;\n    var regl = fullLayout._glcanvas.data()[0].regl;\n    var splomGrid = fullLayout._splomGrid;\n\n    if(!splomGrid) {\n        splomGrid = fullLayout._splomGrid = createLine(regl);\n    }\n    splomGrid.update(makeGridData(gd));\n}\n\nfunction makeGridData(gd) {\n    var fullLayout = gd._fullLayout;\n    var gs = fullLayout._size;\n    var fullView = [0, 0, fullLayout.width, fullLayout.height];\n    var lookup = {};\n    var k;\n\n    function push(prefix, ax, x0, x1, y0, y1) {\n        var lcolor = ax[prefix + 'color'];\n        var lwidth = ax[prefix + 'width'];\n        var key = String(lcolor + lwidth);\n\n        if(key in lookup) {\n            lookup[key].data.push(NaN, NaN, x0, x1, y0, y1);\n        } else {\n            lookup[key] = {\n                data: [x0, x1, y0, y1],\n                join: 'rect',\n                thickness: lwidth,\n                color: lcolor,\n                viewport: fullView,\n                range: fullView,\n                overlay: false\n            };\n        }\n    }\n\n    for(k in fullLayout._splomSubplots) {\n        var sp = fullLayout._plots[k];\n        var xa = sp.xaxis;\n        var ya = sp.yaxis;\n        var xVals = xa._vals;\n        var yVals = ya._vals;\n        // ya.l2p assumes top-to-bottom coordinate system (a la SVG),\n        // we need to compute bottom-to-top offsets and slopes:\n        var yOffset = gs.b + ya.domain[0] * gs.h;\n        var ym = -ya._m;\n        var yb = -ym * ya.r2l(ya.range[0], ya.calendar);\n        var x, y;\n\n        if(xa.showgrid) {\n            for(k = 0; k < xVals.length; k++) {\n                x = xa._offset + xa.l2p(xVals[k].x);\n                push('grid', xa, x, yOffset, x, yOffset + ya._length);\n            }\n        }\n        if(ya.showgrid) {\n            for(k = 0; k < yVals.length; k++) {\n                y = yOffset + yb + ym * yVals[k].x;\n                push('grid', ya, xa._offset, y, xa._offset + xa._length, y);\n            }\n        }\n        if(shouldShowZeroLine(gd, xa, ya)) {\n            x = xa._offset + xa.l2p(0);\n            push('zeroline', xa, x, yOffset, x, yOffset + ya._length);\n        }\n        if(shouldShowZeroLine(gd, ya, xa)) {\n            y = yOffset + yb + 0;\n            push('zeroline', ya, xa._offset, y, xa._offset + xa._length, y);\n        }\n    }\n\n    var gridBatches = [];\n    for(k in lookup) {\n        gridBatches.push(lookup[k]);\n    }\n\n    return gridBatches;\n}\n\nfunction clean(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var lookup = {};\n    var i;\n\n    if(oldFullLayout._splomScenes) {\n        for(i = 0; i < newFullData.length; i++) {\n            var newTrace = newFullData[i];\n            if(newTrace.type === 'splom') {\n                lookup[newTrace.uid] = 1;\n            }\n        }\n        for(i = 0; i < oldFullData.length; i++) {\n            var oldTrace = oldFullData[i];\n            if(!lookup[oldTrace.uid]) {\n                var scene = oldFullLayout._splomScenes[oldTrace.uid];\n                if(scene && scene.destroy) scene.destroy();\n                // must first set scene to null in order to get garbage collected\n                oldFullLayout._splomScenes[oldTrace.uid] = null;\n                delete oldFullLayout._splomScenes[oldTrace.uid];\n            }\n        }\n    }\n\n    if(Object.keys(oldFullLayout._splomScenes || {}).length === 0) {\n        delete oldFullLayout._splomScenes;\n    }\n\n    if(oldFullLayout._splomGrid &&\n        (!newFullLayout._hasOnlyLargeSploms && oldFullLayout._hasOnlyLargeSploms)) {\n        // must first set scene to null in order to get garbage collected\n        oldFullLayout._splomGrid.destroy();\n        oldFullLayout._splomGrid = null;\n        delete oldFullLayout._splomGrid;\n    }\n\n    Cartesian.clean(newFullData, newFullLayout, oldFullData, oldFullLayout);\n}\n\nfunction updateFx(gd) {\n    Cartesian.updateFx(gd);\n\n    var fullLayout = gd._fullLayout;\n    var dragmode = fullLayout.dragmode;\n\n    // unset selection styles when coming out of a selection mode\n    if(dragmode === 'zoom' || dragmode === 'pan') {\n        var cd = gd.calcdata;\n\n        for(var i = 0; i < cd.length; i++) {\n            var cd0 = cd[i][0];\n            var trace = cd0.trace;\n\n            if(trace.type === 'splom') {\n                var scene = fullLayout._splomScenes[trace.uid];\n                if(scene.selectBatch === null) {\n                    scene.matrix.update(scene.matrixOptions, null);\n                }\n            }\n        }\n    }\n}\n\nmodule.exports = {\n    name: SPLOM,\n    attr: Cartesian.attr,\n    attrRegex: Cartesian.attrRegex,\n    layoutAttributes: Cartesian.layoutAttributes,\n    supplyLayoutDefaults: Cartesian.supplyLayoutDefaults,\n    drawFramework: Cartesian.drawFramework,\n    plot: plot,\n    drag: drag,\n    updateGrid: updateGrid,\n    clean: clean,\n    updateFx: updateFx,\n    toSVG: Cartesian.toSVG\n};\n\n},{\"../../lib/prepare_regl\":710,\"../../plots/cartesian\":757,\"../../plots/cartesian/axes\":745,\"../../plots/cartesian/axis_ids\":748,\"../../plots/get_data\":782,\"../../registry\":828,\"regl-line2d\":474}],1124:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar handleArrayContainerDefaults = _dereq_('../../plots/array_container_defaults');\n\nvar attributes = _dereq_('./attributes');\nvar subTypes = _dereq_('../scatter/subtypes');\nvar handleMarkerDefaults = _dereq_('../scatter/marker_defaults');\nvar mergeLength = _dereq_('../parcoords/merge_length');\nvar OPEN_RE = /-open/;\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var dimensions = handleArrayContainerDefaults(traceIn, traceOut, {\n        name: 'dimensions',\n        handleItemDefaults: dimensionDefaults\n    });\n\n    var showDiag = coerce('diagonal.visible');\n    var showUpper = coerce('showupperhalf');\n    var showLower = coerce('showlowerhalf');\n\n    var dimLength = mergeLength(traceOut, dimensions, 'values');\n\n    if(!dimLength || (!showDiag && !showUpper && !showLower)) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('text');\n\n    handleMarkerDefaults(traceIn, traceOut, defaultColor, layout, coerce);\n\n    var isOpen = OPEN_RE.test(traceOut.marker.symbol);\n    var isBubble = subTypes.isBubble(traceOut);\n    coerce('marker.line.width', isOpen || isBubble ? 1 : 0);\n\n    handleAxisDefaults(traceIn, traceOut, layout, coerce);\n\n    Lib.coerceSelectionMarkerOpacity(traceOut, coerce);\n};\n\nfunction dimensionDefaults(dimIn, dimOut) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(dimIn, dimOut, attributes.dimensions, attr, dflt);\n    }\n\n    coerce('label');\n    var values = coerce('values');\n\n    if(!(values && values.length)) dimOut.visible = false;\n    else coerce('visible');\n\n    coerce('axis.type');\n}\n\nfunction handleAxisDefaults(traceIn, traceOut, layout, coerce) {\n    var dimensions = traceOut.dimensions;\n    var dimLength = dimensions.length;\n    var showUpper = traceOut.showupperhalf;\n    var showLower = traceOut.showlowerhalf;\n    var showDiag = traceOut.diagonal.visible;\n    var i, j;\n\n    var xAxesDflt = new Array(dimLength);\n    var yAxesDflt = new Array(dimLength);\n\n    for(i = 0; i < dimLength; i++) {\n        var suffix = i ? i + 1 : '';\n        xAxesDflt[i] = 'x' + suffix;\n        yAxesDflt[i] = 'y' + suffix;\n    }\n\n    var xaxes = coerce('xaxes', xAxesDflt);\n    var yaxes = coerce('yaxes', yAxesDflt);\n\n    // build list of [x,y] axis corresponding to each dimensions[i],\n    // very useful for passing options to regl-splom\n    var diag = traceOut._diag = new Array(dimLength);\n\n    // lookup for 'drawn' x|y axes, to avoid costly indexOf downstream\n    traceOut._xaxes = {};\n    traceOut._yaxes = {};\n\n    // list of 'drawn' x|y axes, use to generate list of subplots\n    var xList = [];\n    var yList = [];\n\n    function fillAxisStashes(axId, dim, list) {\n        if(!axId) return;\n\n        var axLetter = axId.charAt(0);\n        var stash = layout._splomAxes[axLetter];\n\n        traceOut['_' + axLetter + 'axes'][axId] = 1;\n        list.push(axId);\n\n        if(!(axId in stash)) {\n            var s = stash[axId] = {};\n            if(dim) {\n                s.label = dim.label || '';\n                if(dim.visible && dim.axis) {\n                    s.type = dim.axis.type;\n                }\n            }\n        }\n    }\n\n    // cases where showDiag and showLower or showUpper are false\n    // no special treatment as the 'drawn' x-axes and y-axes no longer match\n    // the dimensions items and xaxes|yaxes 1-to-1\n    var mustShiftX = !showDiag && !showLower;\n    var mustShiftY = !showDiag && !showUpper;\n\n    for(i = 0; i < dimLength; i++) {\n        var dim = dimensions[i];\n        var i0 = i === 0;\n        var iN = i === dimLength - 1;\n\n        var xaId = (i0 && mustShiftX) || (iN && mustShiftY) ?\n            undefined :\n            xaxes[i];\n\n        var yaId = (i0 && mustShiftY) || (iN && mustShiftX) ?\n            undefined :\n            yaxes[i];\n\n        fillAxisStashes(xaId, dim, xList);\n        fillAxisStashes(yaId, dim, yList);\n        diag[i] = [xaId, yaId];\n    }\n\n    // fill in splom subplot keys\n    for(i = 0; i < xList.length; i++) {\n        for(j = 0; j < yList.length; j++) {\n            var id = xList[i] + yList[j];\n\n            if(i > j && showUpper) {\n                layout._splomSubplots[id] = 1;\n            } else if(i < j && showLower) {\n                layout._splomSubplots[id] = 1;\n            } else if(i === j && (showDiag || !showLower || !showUpper)) {\n                // need to include diagonal subplots when\n                // hiding one half and the diagonal\n                layout._splomSubplots[id] = 1;\n            }\n        }\n    }\n\n    // when lower half is omitted, or when just the diagonal is gone,\n    // override grid default to make sure axes remain on\n    // the left/bottom of the plot area\n    if(!showLower || (!showDiag && showUpper && showLower)) {\n        layout._splomGridDflt.xside = 'bottom';\n        layout._splomGridDflt.yside = 'left';\n    }\n}\n\n},{\"../../lib\":696,\"../../plots/array_container_defaults\":741,\"../parcoords/merge_length\":1016,\"../scatter/marker_defaults\":1063,\"../scatter/subtypes\":1068,\"./attributes\":1122}],1125:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar createMatrix = _dereq_('regl-splom');\nvar arrayRange = _dereq_('array-range');\n\nvar Registry = _dereq_('../../registry');\nvar Grid = _dereq_('../../components/grid');\nvar Lib = _dereq_('../../lib');\nvar AxisIDs = _dereq_('../../plots/cartesian/axis_ids');\n\nvar subTypes = _dereq_('../scatter/subtypes');\nvar calcMarkerSize = _dereq_('../scatter/calc').calcMarkerSize;\nvar calcAxisExpansion = _dereq_('../scatter/calc').calcAxisExpansion;\nvar calcColorscales = _dereq_('../scatter/colorscale_calc');\nvar convertMarkerSelection = _dereq_('../scattergl/convert').markerSelection;\nvar convertMarkerStyle = _dereq_('../scattergl/convert').markerStyle;\nvar calcHover = _dereq_('../scattergl').calcHover;\n\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\nvar TOO_MANY_POINTS = _dereq_('../scattergl/constants').TOO_MANY_POINTS;\n\nfunction calc(gd, trace) {\n    var dimensions = trace.dimensions;\n    var commonLength = trace._length;\n    var opts = {};\n    // 'c' for calculated, 'l' for linear,\n    // only differ here for log axes, pass ldata to createMatrix as 'data'\n    var cdata = opts.cdata = [];\n    var ldata = opts.data = [];\n    // keep track of visible dimensions\n    var visibleDims = trace._visibleDims = [];\n    var i, k, dim, xa, ya;\n\n    function makeCalcdata(ax, dim) {\n        // call makeCalcdata with fake input\n        var ccol = ax.makeCalcdata({\n            v: dim.values,\n            vcalendar: trace.calendar\n        }, 'v');\n\n        for(var j = 0; j < ccol.length; j++) {\n            ccol[j] = ccol[j] === BADNUM ? NaN : ccol[j];\n        }\n        cdata.push(ccol);\n        ldata.push(ax.type === 'log' ? Lib.simpleMap(ccol, ax.c2l) : ccol);\n    }\n\n    for(i = 0; i < dimensions.length; i++) {\n        dim = dimensions[i];\n\n        if(dim.visible) {\n            xa = AxisIDs.getFromId(gd, trace._diag[i][0]);\n            ya = AxisIDs.getFromId(gd, trace._diag[i][1]);\n\n            // if corresponding x & y axes don't have matching types, skip dim\n            if(xa && ya && xa.type !== ya.type) {\n                Lib.log('Skipping splom dimension ' + i + ' with conflicting axis types');\n                continue;\n            }\n\n            if(xa) {\n                makeCalcdata(xa, dim);\n                if(ya && ya.type === 'category') {\n                    ya._categories = xa._categories.slice();\n                }\n            } else {\n                // should not make it here, if both xa and ya undefined\n                makeCalcdata(ya, dim);\n            }\n\n            visibleDims.push(i);\n        }\n    }\n\n    calcColorscales(trace);\n    Lib.extendFlat(opts, convertMarkerStyle(trace));\n\n    var visibleLength = cdata.length;\n    var hasTooManyPoints = (visibleLength * commonLength) > TOO_MANY_POINTS;\n\n    // Reuse SVG scatter axis expansion routine.\n    // For graphs with very large number of points and array marker.size,\n    // use average marker size instead to speed things up.\n    var ppad;\n    if(hasTooManyPoints) {\n        ppad = 2 * (opts.sizeAvg || Math.max(opts.size, 3));\n    } else {\n        ppad = calcMarkerSize(trace, commonLength);\n    }\n\n    for(k = 0; k < visibleDims.length; k++) {\n        i = visibleDims[k];\n        dim = dimensions[i];\n        xa = AxisIDs.getFromId(gd, trace._diag[i][0]) || {};\n        ya = AxisIDs.getFromId(gd, trace._diag[i][1]) || {};\n        calcAxisExpansion(gd, trace, xa, ya, cdata[k], cdata[k], ppad);\n    }\n\n    var scene = sceneUpdate(gd, trace);\n    if(!scene.matrix) scene.matrix = true;\n    scene.matrixOptions = opts;\n\n    scene.selectedOptions = convertMarkerSelection(trace, trace.selected);\n    scene.unselectedOptions = convertMarkerSelection(trace, trace.unselected);\n\n    return [{x: false, y: false, t: {}, trace: trace}];\n}\n\nfunction sceneUpdate(gd, trace) {\n    var fullLayout = gd._fullLayout;\n    var uid = trace.uid;\n\n    // must place ref to 'scene' in fullLayout, so that:\n    // - it can be relinked properly on updates\n    // - it can be destroyed properly when needed\n    var splomScenes = fullLayout._splomScenes;\n    if(!splomScenes) splomScenes = fullLayout._splomScenes = {};\n\n    var reset = {dirty: true};\n\n    var first = {\n        selectBatch: null,\n        unselectBatch: null,\n        matrix: false,\n        select: null\n    };\n\n    var scene = splomScenes[trace.uid];\n\n    if(!scene) {\n        scene = splomScenes[uid] = Lib.extendFlat({}, reset, first);\n\n        scene.draw = function draw() {\n            if(scene.matrix && scene.matrix.draw) {\n                if(scene.selectBatch) {\n                    scene.matrix.draw(scene.unselectBatch, scene.selectBatch);\n                } else {\n                    scene.matrix.draw();\n                }\n            }\n\n            scene.dirty = false;\n        };\n\n        // remove scene resources\n        scene.destroy = function destroy() {\n            if(scene.matrix && scene.matrix.destroy) {\n                scene.matrix.destroy();\n            }\n            scene.matrixOptions = null;\n            scene.selectBatch = null;\n            scene.unselectBatch = null;\n            scene = null;\n        };\n    }\n\n    // In case if we have scene from the last calc - reset data\n    if(!scene.dirty) {\n        Lib.extendFlat(scene, reset);\n    }\n\n    return scene;\n}\n\nfunction plot(gd, _, splomCalcData) {\n    if(!splomCalcData.length) return;\n\n    for(var i = 0; i < splomCalcData.length; i++) {\n        plotOne(gd, splomCalcData[i][0]);\n    }\n}\n\nfunction plotOne(gd, cd0) {\n    var fullLayout = gd._fullLayout;\n    var gs = fullLayout._size;\n    var trace = cd0.trace;\n    var stash = cd0.t;\n    var scene = fullLayout._splomScenes[trace.uid];\n    var matrixOpts = scene.matrixOptions;\n    var cdata = matrixOpts.cdata;\n    var regl = fullLayout._glcanvas.data()[0].regl;\n    var dragmode = fullLayout.dragmode;\n    var xa, ya;\n    var i, j, k;\n\n    if(cdata.length === 0) return;\n\n    // augment options with proper upper/lower halves\n    // regl-splom's default grid starts from bottom-left\n    matrixOpts.lower = trace.showupperhalf;\n    matrixOpts.upper = trace.showlowerhalf;\n    matrixOpts.diagonal = trace.diagonal.visible;\n\n    var visibleDims = trace._visibleDims;\n    var visibleLength = cdata.length;\n    var viewOpts = scene.viewOpts = {};\n    viewOpts.ranges = new Array(visibleLength);\n    viewOpts.domains = new Array(visibleLength);\n\n    for(k = 0; k < visibleDims.length; k++) {\n        i = visibleDims[k];\n\n        var rng = viewOpts.ranges[k] = new Array(4);\n        var dmn = viewOpts.domains[k] = new Array(4);\n\n        xa = AxisIDs.getFromId(gd, trace._diag[i][0]);\n        if(xa) {\n            rng[0] = xa._rl[0];\n            rng[2] = xa._rl[1];\n            dmn[0] = xa.domain[0];\n            dmn[2] = xa.domain[1];\n        }\n\n        ya = AxisIDs.getFromId(gd, trace._diag[i][1]);\n        if(ya) {\n            rng[1] = ya._rl[0];\n            rng[3] = ya._rl[1];\n            dmn[1] = ya.domain[0];\n            dmn[3] = ya.domain[1];\n        }\n    }\n\n    viewOpts.viewport = [gs.l, gs.b, gs.w + gs.l, gs.h + gs.b];\n\n    if(scene.matrix === true) {\n        scene.matrix = createMatrix(regl);\n    }\n\n    var clickSelectEnabled = fullLayout.clickmode.indexOf('select') > -1;\n    var selectMode = dragmode === 'lasso' || dragmode === 'select' ||\n      !!trace.selectedpoints || clickSelectEnabled;\n    scene.selectBatch = null;\n    scene.unselectBatch = null;\n\n    if(selectMode) {\n        var commonLength = trace._length;\n\n        if(!scene.selectBatch) {\n            scene.selectBatch = [];\n            scene.unselectBatch = [];\n        }\n\n        // regenerate scene batch, if traces number changed during selection\n        if(trace.selectedpoints) {\n            scene.selectBatch = trace.selectedpoints;\n\n            var selPts = trace.selectedpoints;\n            var selDict = {};\n            for(i = 0; i < selPts.length; i++) {\n                selDict[selPts[i]] = true;\n            }\n            var unselPts = [];\n            for(i = 0; i < commonLength; i++) {\n                if(!selDict[i]) unselPts.push(i);\n            }\n            scene.unselectBatch = unselPts;\n        }\n\n        // precalculate px coords since we are not going to pan during select\n        var xpx = stash.xpx = new Array(visibleLength);\n        var ypx = stash.ypx = new Array(visibleLength);\n\n        for(k = 0; k < visibleDims.length; k++) {\n            i = visibleDims[k];\n\n            xa = AxisIDs.getFromId(gd, trace._diag[i][0]);\n            if(xa) {\n                xpx[k] = new Array(commonLength);\n                for(j = 0; j < commonLength; j++) {\n                    xpx[k][j] = xa.c2p(cdata[k][j]);\n                }\n            }\n\n            ya = AxisIDs.getFromId(gd, trace._diag[i][1]);\n            if(ya) {\n                ypx[k] = new Array(commonLength);\n                for(j = 0; j < commonLength; j++) {\n                    ypx[k][j] = ya.c2p(cdata[k][j]);\n                }\n            }\n        }\n\n        if(scene.selectBatch) {\n            scene.matrix.update(matrixOpts, matrixOpts);\n            scene.matrix.update(scene.unselectedOptions, scene.selectedOptions);\n            scene.matrix.update(viewOpts, viewOpts);\n        }\n        else {\n            // delete selection pass\n            scene.matrix.update(viewOpts, null);\n        }\n    }\n    else {\n        var opts = Lib.extendFlat({}, matrixOpts, viewOpts);\n        scene.matrix.update(opts, null);\n        stash.xpx = stash.ypx = null;\n    }\n}\n\nfunction editStyle(gd, cd0) {\n    var trace = cd0.trace;\n    var scene = gd._fullLayout._splomScenes[trace.uid];\n\n    if(scene) {\n        calcColorscales(trace);\n\n        Lib.extendFlat(scene.matrixOptions, convertMarkerStyle(trace));\n        // TODO [un]selected styles?\n\n        var opts = Lib.extendFlat({}, scene.matrixOptions, scene.viewOpts);\n\n        // TODO this is too long for arrayOk attributes!\n        scene.matrix.update(opts, null);\n    }\n}\n\nfunction hoverPoints(pointData, xval, yval) {\n    var cd = pointData.cd;\n    var trace = cd[0].trace;\n    var scene = pointData.scene;\n    var cdata = scene.matrixOptions.cdata;\n    var xa = pointData.xa;\n    var ya = pointData.ya;\n    var xpx = xa.c2p(xval);\n    var ypx = ya.c2p(yval);\n    var maxDistance = pointData.distance;\n\n    var xi = getDimIndex(trace, xa);\n    var yi = getDimIndex(trace, ya);\n    if(xi === false || yi === false) return [pointData];\n\n    var x = cdata[xi];\n    var y = cdata[yi];\n\n    var id, dxy;\n    var minDist = maxDistance;\n\n    for(var i = 0; i < x.length; i++) {\n        var ptx = x[i];\n        var pty = y[i];\n        var dx = xa.c2p(ptx) - xpx;\n        var dy = ya.c2p(pty) - ypx;\n        var dist = Math.sqrt(dx * dx + dy * dy);\n\n        if(dist < minDist) {\n            minDist = dxy = dist;\n            id = i;\n        }\n    }\n\n    pointData.index = id;\n    pointData.distance = minDist;\n    pointData.dxy = dxy;\n\n    if(id === undefined) return [pointData];\n\n    calcHover(pointData, x, y, trace);\n\n    return [pointData];\n}\n\nfunction selectPoints(searchInfo, selectionTester) {\n    var cd = searchInfo.cd;\n    var trace = cd[0].trace;\n    var stash = cd[0].t;\n    var scene = searchInfo.scene;\n    var cdata = scene.matrixOptions.cdata;\n    var xa = searchInfo.xaxis;\n    var ya = searchInfo.yaxis;\n    var selection = [];\n    var i;\n\n    if(!scene) return selection;\n\n    var hasOnlyLines = (!subTypes.hasMarkers(trace) && !subTypes.hasText(trace));\n    if(trace.visible !== true || hasOnlyLines) return selection;\n\n    var xi = getDimIndex(trace, xa);\n    var yi = getDimIndex(trace, ya);\n    if(xi === false || yi === false) return selection;\n\n    var xpx = stash.xpx[xi];\n    var ypx = stash.ypx[yi];\n    var x = cdata[xi];\n    var y = cdata[yi];\n\n    // degenerate polygon does not enable selection\n    // filter out points by visible scatter ones\n    var els = null;\n    var unels = null;\n    if(selectionTester !== false && !selectionTester.degenerate) {\n        els = [], unels = [];\n        for(i = 0; i < x.length; i++) {\n            if(selectionTester.contains([xpx[i], ypx[i]], null, i, searchInfo)) {\n                els.push(i);\n                selection.push({\n                    pointNumber: i,\n                    x: x[i],\n                    y: y[i]\n                });\n            }\n            else {\n                unels.push(i);\n            }\n        }\n    } else {\n        unels = arrayRange(stash.count);\n    }\n\n    // make sure selectBatch is created\n    if(!scene.selectBatch) {\n        scene.selectBatch = [];\n        scene.unselectBatch = [];\n    }\n\n    if(!scene.selectBatch) {\n        // enter every trace select mode\n        for(i = 0; i < scene.count; i++) {\n            scene.selectBatch = [];\n            scene.unselectBatch = [];\n        }\n        // we should turn scatter2d into unselected once we have any points selected\n        scene.matrix.update(scene.unselectedOptions, scene.selectedOptions);\n    }\n\n    scene.selectBatch = els;\n    scene.unselectBatch = unels;\n\n\n    return selection;\n}\n\nfunction getDimIndex(trace, ax) {\n    var axId = ax._id;\n    var axLetter = axId.charAt(0);\n    var ind = {x: 0, y: 1}[axLetter];\n    var visibleDims = trace._visibleDims;\n\n    for(var k = 0; k < visibleDims.length; k++) {\n        var i = visibleDims[k];\n        if(trace._diag[i][ind] === axId) return k;\n    }\n    return false;\n}\n\nmodule.exports = {\n    moduleType: 'trace',\n    name: 'splom',\n\n    basePlotModule: _dereq_('./base_plot'),\n    categories: ['gl', 'regl', 'cartesian', 'symbols', 'showLegend', 'scatter-like'],\n\n    attributes: _dereq_('./attributes'),\n    supplyDefaults: _dereq_('./defaults'),\n    colorbar: _dereq_('../scatter/marker_colorbar'),\n\n    calc: calc,\n    plot: plot,\n    hoverPoints: hoverPoints,\n    selectPoints: selectPoints,\n    editStyle: editStyle,\n\n    meta: {\n        \n    }\n};\n\n// splom traces use the 'grid' component to generate their axes,\n// register it here\nRegistry.register(Grid);\n\n},{\"../../components/grid\":616,\"../../constants/numerical\":673,\"../../lib\":696,\"../../plots/cartesian/axis_ids\":748,\"../../registry\":828,\"../scatter/calc\":1045,\"../scatter/colorscale_calc\":1047,\"../scatter/marker_colorbar\":1062,\"../scatter/subtypes\":1068,\"../scattergl\":1097,\"../scattergl/constants\":1094,\"../scattergl/convert\":1095,\"./attributes\":1122,\"./base_plot\":1123,\"./defaults\":1124,\"array-range\":55,\"regl-splom\":477}],1126:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\nvar mesh3dAttrs = _dereq_('../mesh3d/attributes');\nvar baseAttrs = _dereq_('../../plots/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nvar attrs = {\n    x: {\n        valType: 'data_array',\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    y: {\n        valType: 'data_array',\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n    z: {\n        valType: 'data_array',\n        \n        editType: 'calc+clearAxisTypes',\n        \n    },\n\n    u: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    v: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n    w: {\n        valType: 'data_array',\n        editType: 'calc',\n        \n    },\n\n    starts: {\n        x: {\n            valType: 'data_array',\n            editType: 'calc',\n            \n        },\n        y: {\n            valType: 'data_array',\n            editType: 'calc',\n            \n        },\n        z: {\n            valType: 'data_array',\n            editType: 'calc',\n            \n        },\n        editType: 'calc'\n    },\n\n    maxdisplayed: {\n        valType: 'integer',\n        min: 0,\n        dflt: 1000,\n        \n        editType: 'calc',\n        \n    },\n\n    // TODO\n    //\n    // Should add 'absolute' (like cone traces have), but currently gl-streamtube3d's\n    // `absoluteTubeSize` doesn't behave well enough for our needs.\n    //\n    // 'fixed' would be a nice addition to plot stream 'lines', see\n    // https://github.com/plotly/plotly.js/commit/812be20750e21e0a1831975001c248d365850f73#r29129877\n    //\n    // sizemode: {\n    //     valType: 'enumerated',\n    //     values: ['scaled', 'absolute', 'fixed'],\n    //     dflt: 'scaled',\n    //     \n    //     editType: 'calc',\n    //     \n    // },\n\n    sizeref: {\n        valType: 'number',\n        \n        editType: 'calc',\n        min: 0,\n        dflt: 1,\n        \n    },\n\n    text: {\n        valType: 'string',\n        \n        dflt: '',\n        editType: 'calc',\n        \n    }\n};\n\nextendFlat(attrs, colorscaleAttrs('', {\n    colorAttr: 'u/v/w norm',\n    showScaleDflt: true,\n    editTypeOverride: 'calc'\n}), {\n    colorbar: colorbarAttrs\n});\n\nvar fromMesh3d = ['opacity', 'lightposition', 'lighting'];\nfromMesh3d.forEach(function(k) {\n    attrs[k] = mesh3dAttrs[k];\n});\n\nattrs.hoverinfo = extendFlat({}, baseAttrs.hoverinfo, {\n    editType: 'calc',\n    flags: ['x', 'y', 'z', 'u', 'v', 'w', 'norm', 'divergence', 'text', 'name'],\n    dflt: 'x+y+z+norm+text+name'\n});\n\nattrs.transforms = undefined;\n\nmodule.exports = attrs;\n\n},{\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plots/attributes\":742,\"../mesh3d/attributes\":987}],1127:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar colorscaleCalc = _dereq_('../../components/colorscale/calc');\n\nmodule.exports = function calc(gd, trace) {\n    var i;\n\n    var u = trace.u;\n    var v = trace.v;\n    var w = trace.w;\n    var x = trace.x;\n    var y = trace.y;\n    var z = trace.z;\n    var len = Math.min(x.length, y.length, z.length, u.length, v.length, w.length);\n\n    var slen = 0;\n    var startx, starty, startz;\n    if(trace.starts) {\n        startx = trace.starts.x || [];\n        starty = trace.starts.y || [];\n        startz = trace.starts.z || [];\n        slen = Math.min(startx.length, starty.length, startz.length);\n    }\n\n    var normMax = 0;\n    var normMin = Infinity;\n\n    for(i = 0; i < len; i++) {\n        var uu = u[i];\n        var vv = v[i];\n        var ww = w[i];\n        var norm = Math.sqrt(uu * uu + vv * vv + ww * ww);\n\n        normMax = Math.max(normMax, norm);\n        normMin = Math.min(normMin, norm);\n    }\n\n    colorscaleCalc(trace, [normMin, normMax], '', 'c');\n\n    var xMax = -Infinity;\n    var xMin = Infinity;\n    var yMax = -Infinity;\n    var yMin = Infinity;\n    var zMax = -Infinity;\n    var zMin = Infinity;\n\n    for(i = 0; i < len; i++) {\n        var xx = x[i];\n        xMax = Math.max(xMax, xx);\n        xMin = Math.min(xMin, xx);\n\n        var yy = y[i];\n        yMax = Math.max(yMax, yy);\n        yMin = Math.min(yMin, yy);\n\n        var zz = z[i];\n        zMax = Math.max(zMax, zz);\n        zMin = Math.min(zMin, zz);\n    }\n    for(i = 0; i < slen; i++) {\n        var sx = startx[i];\n        xMax = Math.max(xMax, sx);\n        xMin = Math.min(xMin, sx);\n\n        var sy = starty[i];\n        yMax = Math.max(yMax, sy);\n        yMin = Math.min(yMin, sy);\n\n        var sz = startz[i];\n        zMax = Math.max(zMax, sz);\n        zMin = Math.min(zMin, sz);\n    }\n\n    trace._len = len;\n    trace._slen = slen;\n    trace._normMax = normMax;\n    trace._xbnds = [xMin, xMax];\n    trace._ybnds = [yMin, yMax];\n    trace._zbnds = [zMin, zMax];\n};\n\n},{\"../../components/colorscale/calc\":578}],1128:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar tube2mesh = _dereq_('gl-streamtube3d');\nvar createTubeMesh = tube2mesh.createTubeMesh;\n\nvar Lib = _dereq_('../../lib');\nvar parseColorScale = _dereq_('../../lib/gl_format_color').parseColorScale;\nvar zip3 = _dereq_('../../plots/gl3d/zip3');\n\nvar axisName2scaleIndex = {xaxis: 0, yaxis: 1, zaxis: 2};\n\nfunction Streamtube(scene, uid) {\n    this.scene = scene;\n    this.uid = uid;\n    this.mesh = null;\n    this.data = null;\n}\n\nvar proto = Streamtube.prototype;\n\nproto.handlePick = function(selection) {\n    var sceneLayout = this.scene.fullSceneLayout;\n    var dataScale = this.scene.dataScale;\n\n    function fromDataScale(v, axisName) {\n        var ax = sceneLayout[axisName];\n        var scale = dataScale[axisName2scaleIndex[axisName]];\n        return ax.l2c(v) / scale;\n    }\n\n    if(selection.object === this.mesh) {\n        var pos = selection.data.position;\n        var uvx = selection.data.velocity;\n\n        selection.traceCoordinate = [\n            fromDataScale(pos[0], 'xaxis'),\n            fromDataScale(pos[1], 'yaxis'),\n            fromDataScale(pos[2], 'zaxis'),\n\n            fromDataScale(uvx[0], 'xaxis'),\n            fromDataScale(uvx[1], 'yaxis'),\n            fromDataScale(uvx[2], 'zaxis'),\n\n            // u/v/w norm\n            selection.data.intensity * this.data._normMax,\n            // divergence\n            selection.data.divergence\n        ];\n\n        selection.textLabel = this.data.text;\n\n        return true;\n    }\n};\n\nfunction distinctVals(col) {\n    return Lib.distinctVals(col).vals;\n}\n\nfunction getDfltStartingPositions(vec) {\n    var len = vec.length;\n    var s;\n\n    if(len > 2) {\n        s = vec.slice(1, len - 1);\n    } else if(len === 2) {\n        s = [(vec[0] + vec[1]) / 2];\n    } else {\n        s = vec;\n    }\n    return s;\n}\n\nfunction getBoundPads(vec) {\n    var len = vec.length;\n    if(len === 1) {\n        return [0.5, 0.5];\n    } else {\n        return [vec[1] - vec[0], vec[len - 1] - vec[len - 2]];\n    }\n}\n\nfunction convert(scene, trace) {\n    var sceneLayout = scene.fullSceneLayout;\n    var dataScale = scene.dataScale;\n    var len = trace._len;\n    var tubeOpts = {};\n\n    function toDataCoords(arr, axisName) {\n        var ax = sceneLayout[axisName];\n        var scale = dataScale[axisName2scaleIndex[axisName]];\n        return Lib.simpleMap(arr, function(v) { return ax.d2l(v) * scale; });\n    }\n\n    tubeOpts.vectors = zip3(\n        toDataCoords(trace.u, 'xaxis'),\n        toDataCoords(trace.v, 'yaxis'),\n        toDataCoords(trace.w, 'zaxis'),\n        len\n    );\n\n    var valsx = distinctVals(trace.x.slice(0, len));\n    var valsy = distinctVals(trace.y.slice(0, len));\n    var valsz = distinctVals(trace.z.slice(0, len));\n\n    // Over-specified mesh case, this would error in tube2mesh\n    if(valsx.length * valsy.length * valsz.length > len) {\n        return {positions: [], cells: []};\n    }\n\n    var meshx = toDataCoords(valsx, 'xaxis');\n    var meshy = toDataCoords(valsy, 'yaxis');\n    var meshz = toDataCoords(valsz, 'zaxis');\n\n    tubeOpts.meshgrid = [meshx, meshy, meshz];\n\n    if(trace.starts) {\n        var slen = trace._slen;\n        tubeOpts.startingPositions = zip3(\n            toDataCoords(trace.starts.x.slice(0, slen), 'xaxis'),\n            toDataCoords(trace.starts.y.slice(0, slen), 'yaxis'),\n            toDataCoords(trace.starts.z.slice(0, slen), 'zaxis')\n        );\n    } else {\n        // Default starting positions:\n        //\n        // if len>2, cut xz plane at min-y,\n        // takes all x/y/z pts on that plane except those on the edges\n        // to generate \"well-defined\" tubes,\n        //\n        // if len=2, take position halfway between two the pts,\n        //\n        // if len=1, take that pt\n        var sy0 = meshy[0];\n        var sx = getDfltStartingPositions(meshx);\n        var sz = getDfltStartingPositions(meshz);\n        var startingPositions = new Array(sx.length * sz.length);\n        var m = 0;\n\n        for(var i = 0; i < sx.length; i++) {\n            for(var k = 0; k < sz.length; k++) {\n                startingPositions[m++] = [sx[i], sy0, sz[k]];\n            }\n        }\n        tubeOpts.startingPositions = startingPositions;\n    }\n\n    tubeOpts.colormap = parseColorScale(trace.colorscale);\n    tubeOpts.tubeSize = trace.sizeref;\n    tubeOpts.maxLength = trace.maxdisplayed;\n\n    // add some padding around the bounds\n    // to e.g. allow tubes starting from a slice of the x/y/z mesh\n    // to go beyond bounds a little bit w/o getting clipped\n    var xbnds = toDataCoords(trace._xbnds, 'xaxis');\n    var ybnds = toDataCoords(trace._ybnds, 'yaxis');\n    var zbnds = toDataCoords(trace._zbnds, 'zaxis');\n    var xpads = getBoundPads(meshx);\n    var ypads = getBoundPads(meshy);\n    var zpads = getBoundPads(meshz);\n\n    var bounds = [\n        [xbnds[0] - xpads[0], ybnds[0] - ypads[0], zbnds[0] - zpads[0]],\n        [xbnds[1] + xpads[1], ybnds[1] + ypads[1], zbnds[1] + zpads[1]]\n    ];\n\n    var meshData = tube2mesh(tubeOpts, bounds);\n\n    // N.B. cmin/cmax correspond to the min/max vector norm\n    // in the u/v/w arrays, which in general is NOT equal to max\n    // intensity that colors the tubes.\n    meshData.vertexIntensityBounds = [trace.cmin / trace._normMax, trace.cmax / trace._normMax];\n\n    // pass gl-mesh3d lighting attributes\n    var lp = trace.lightposition;\n    meshData.lightPosition = [lp.x, lp.y, lp.z];\n    meshData.ambient = trace.lighting.ambient;\n    meshData.diffuse = trace.lighting.diffuse;\n    meshData.specular = trace.lighting.specular;\n    meshData.roughness = trace.lighting.roughness;\n    meshData.fresnel = trace.lighting.fresnel;\n    meshData.opacity = trace.opacity;\n\n    // stash autorange pad value\n    trace._pad = meshData.tubeScale * trace.sizeref * 2;\n\n    return meshData;\n}\n\nproto.update = function(data) {\n    this.data = data;\n\n    var meshData = convert(this.scene, data);\n    this.mesh.update(meshData);\n};\n\nproto.dispose = function() {\n    this.scene.glplot.remove(this.mesh);\n    this.mesh.dispose();\n};\n\nfunction createStreamtubeTrace(scene, data) {\n    var gl = scene.glplot.gl;\n\n    var meshData = convert(scene, data);\n    var mesh = createTubeMesh(gl, meshData);\n\n    var streamtube = new Streamtube(scene, data.uid);\n    streamtube.mesh = mesh;\n    streamtube.data = data;\n    mesh._trace = streamtube;\n\n    scene.glplot.add(mesh);\n\n    return streamtube;\n}\n\nmodule.exports = createStreamtubeTrace;\n\n},{\"../../lib\":696,\"../../lib/gl_format_color\":692,\"../../plots/gl3d/zip3\":799,\"gl-streamtube3d\":301}],1129:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var u = coerce('u');\n    var v = coerce('v');\n    var w = coerce('w');\n\n    var x = coerce('x');\n    var y = coerce('y');\n    var z = coerce('z');\n\n    if(\n        !u || !u.length || !v || !v.length || !w || !w.length ||\n        !x || !x.length || !y || !y.length || !z || !z.length\n    ) {\n        traceOut.visible = false;\n        return;\n    }\n\n    coerce('starts.x');\n    coerce('starts.y');\n    coerce('starts.z');\n\n    coerce('maxdisplayed');\n    coerce('sizeref');\n\n    coerce('lighting.ambient');\n    coerce('lighting.diffuse');\n    coerce('lighting.specular');\n    coerce('lighting.roughness');\n    coerce('lighting.fresnel');\n    coerce('lightposition.x');\n    coerce('lightposition.y');\n    coerce('lightposition.z');\n\n    colorscaleDefaults(traceIn, traceOut, layout, coerce, {prefix: '', cLetter: 'c'});\n\n    coerce('text');\n\n    // disable 1D transforms (for now)\n    // x/y/z and u/v/w have matching lengths,\n    // but they don't have to match with starts.(x|y|z)\n    traceOut._length = null;\n};\n\n},{\"../../components/colorscale/defaults\":580,\"../../lib\":696,\"./attributes\":1126}],1130:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    moduleType: 'trace',\n    name: 'streamtube',\n    basePlotModule: _dereq_('../../plots/gl3d'),\n    categories: ['gl3d'],\n\n    attributes: _dereq_('./attributes'),\n    supplyDefaults: _dereq_('./defaults'),\n    colorbar: {\n        min: 'cmin',\n        max: 'cmax'\n    },\n    calc: _dereq_('./calc'),\n    plot: _dereq_('./convert'),\n    eventData: function(out, pt) {\n        out.tubex = out.x;\n        out.tubey = out.y;\n        out.tubez = out.z;\n\n        out.tubeu = pt.traceCoordinate[3];\n        out.tubev = pt.traceCoordinate[4];\n        out.tubew = pt.traceCoordinate[5];\n\n        out.norm = pt.traceCoordinate[6];\n        out.divergence = pt.traceCoordinate[7];\n\n        // Does not correspond to input x/y/z, so delete them\n        delete out.x;\n        delete out.y;\n        delete out.z;\n\n        return out;\n    },\n\n    meta: {\n        \n    }\n};\n\n},{\"../../plots/gl3d\":788,\"./attributes\":1126,\"./calc\":1127,\"./convert\":1128,\"./defaults\":1129}],1131:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Color = _dereq_('../../components/color');\nvar colorscaleAttrs = _dereq_('../../components/colorscale/attributes');\nvar colorbarAttrs = _dereq_('../../components/colorbar/attributes');\nvar baseAttrs = _dereq_('../../plots/attributes');\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\n\nfunction makeContourProjAttr(axLetter) {\n    return {\n        valType: 'boolean',\n        \n        dflt: false,\n        \n    };\n}\n\nfunction makeContourAttr(axLetter) {\n    return {\n        show: {\n            valType: 'boolean',\n            \n            dflt: false,\n            \n        },\n        project: {\n            x: makeContourProjAttr('x'),\n            y: makeContourProjAttr('y'),\n            z: makeContourProjAttr('z')\n        },\n        color: {\n            valType: 'color',\n            \n            dflt: Color.defaultLine,\n            \n        },\n        usecolormap: {\n            valType: 'boolean',\n            \n            dflt: false,\n            \n        },\n        width: {\n            valType: 'number',\n            \n            min: 1,\n            max: 16,\n            dflt: 2,\n            \n        },\n        highlight: {\n            valType: 'boolean',\n            \n            dflt: true,\n            \n        },\n        highlightcolor: {\n            valType: 'color',\n            \n            dflt: Color.defaultLine,\n            \n        },\n        highlightwidth: {\n            valType: 'number',\n            \n            min: 1,\n            max: 16,\n            dflt: 2,\n            \n        }\n    };\n}\n\nvar attrs = module.exports = overrideAll(extendFlat({\n    z: {\n        valType: 'data_array',\n        \n    },\n    x: {\n        valType: 'data_array',\n        \n    },\n    y: {\n        valType: 'data_array',\n        \n    },\n\n    text: {\n        valType: 'string',\n        \n        dflt: '',\n        arrayOk: true,\n        \n    },\n\n    surfacecolor: {\n        valType: 'data_array',\n        \n    },\n},\n\ncolorscaleAttrs('', {\n    colorAttr: 'z or surfacecolor',\n    showScaleDflt: true,\n    autoColorDflt: false,\n    editTypeOverride: 'calc'\n}), {\n    colorbar: colorbarAttrs,\n\n    contours: {\n        x: makeContourAttr('x'),\n        y: makeContourAttr('y'),\n        z: makeContourAttr('z')\n    },\n    hidesurface: {\n        valType: 'boolean',\n        \n        dflt: false,\n        \n    },\n\n    lightposition: {\n        x: {\n            valType: 'number',\n            \n            min: -1e5,\n            max: 1e5,\n            dflt: 10,\n            \n        },\n        y: {\n            valType: 'number',\n            \n            min: -1e5,\n            max: 1e5,\n            dflt: 1e4,\n            \n        },\n        z: {\n            valType: 'number',\n            \n            min: -1e5,\n            max: 1e5,\n            dflt: 0,\n            \n        }\n    },\n\n    lighting: {\n        ambient: {\n            valType: 'number',\n            \n            min: 0.00,\n            max: 1.0,\n            dflt: 0.8,\n            \n        },\n        diffuse: {\n            valType: 'number',\n            \n            min: 0.00,\n            max: 1.00,\n            dflt: 0.8,\n            \n        },\n        specular: {\n            valType: 'number',\n            \n            min: 0.00,\n            max: 2.00,\n            dflt: 0.05,\n            \n        },\n        roughness: {\n            valType: 'number',\n            \n            min: 0.00,\n            max: 1.00,\n            dflt: 0.5,\n            \n        },\n        fresnel: {\n            valType: 'number',\n            \n            min: 0.00,\n            max: 5.00,\n            dflt: 0.2,\n            \n        }\n    },\n\n    opacity: {\n        valType: 'number',\n        \n        min: 0,\n        max: 1,\n        dflt: 1,\n        \n    },\n\n    _deprecated: {\n        zauto: extendFlat({}, colorscaleAttrs.zauto, {\n            \n        }),\n        zmin: extendFlat({}, colorscaleAttrs.zmin, {\n            \n        }),\n        zmax: extendFlat({}, colorscaleAttrs.zmax, {\n            \n        })\n    },\n\n    hoverinfo: extendFlat({}, baseAttrs.hoverinfo)\n}), 'calc', 'nested');\n\nattrs.x.editType = attrs.y.editType = attrs.z.editType = 'calc+clearAxisTypes';\nattrs.transforms = undefined;\n\n},{\"../../components/color\":570,\"../../components/colorbar/attributes\":571,\"../../components/colorscale/attributes\":577,\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../../plots/attributes\":742}],1132:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar colorscaleCalc = _dereq_('../../components/colorscale/calc');\n\n\n// Compute auto-z and autocolorscale if applicable\nmodule.exports = function calc(gd, trace) {\n    if(trace.surfacecolor) {\n        colorscaleCalc(trace, trace.surfacecolor, '', 'c');\n    } else {\n        colorscaleCalc(trace, trace.z, '', 'c');\n    }\n};\n\n},{\"../../components/colorscale/calc\":578}],1133:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar createSurface = _dereq_('gl-surface3d');\nvar ndarray = _dereq_('ndarray');\nvar homography = _dereq_('ndarray-homography');\nvar fill = _dereq_('ndarray-fill');\nvar ops = _dereq_('ndarray-ops');\n\nvar isArrayOrTypedArray = _dereq_('../../lib').isArrayOrTypedArray;\nvar parseColorScale = _dereq_('../../lib/gl_format_color').parseColorScale;\nvar str2RgbaArray = _dereq_('../../lib/str2rgbarray');\n\nvar MIN_RESOLUTION = 128;\n\nfunction SurfaceTrace(scene, surface, uid) {\n    this.scene = scene;\n    this.uid = uid;\n    this.surface = surface;\n    this.data = null;\n    this.showContour = [false, false, false];\n    this.dataScale = 1.0;\n}\n\nvar proto = SurfaceTrace.prototype;\n\nproto.handlePick = function(selection) {\n    if(selection.object === this.surface) {\n        var selectIndex = selection.index = [\n            Math.min(\n                Math.round(selection.data.index[0] / this.dataScale - 1)|0,\n                this.data.z[0].length - 1\n            ),\n            Math.min(\n                Math.round(selection.data.index[1] / this.dataScale - 1)|0,\n                this.data.z.length - 1\n            )\n        ];\n        var traceCoordinate = [0, 0, 0];\n\n        if(!isArrayOrTypedArray(this.data.x)) {\n            traceCoordinate[0] = selectIndex[0];\n        } else if(isArrayOrTypedArray(this.data.x[0])) {\n            traceCoordinate[0] = this.data.x[selectIndex[1]][selectIndex[0]];\n        } else {\n            traceCoordinate[0] = this.data.x[selectIndex[0]];\n        }\n\n        if(!isArrayOrTypedArray(this.data.y)) {\n            traceCoordinate[1] = selectIndex[1];\n        } else if(isArrayOrTypedArray(this.data.y[0])) {\n            traceCoordinate[1] = this.data.y[selectIndex[1]][selectIndex[0]];\n        } else {\n            traceCoordinate[1] = this.data.y[selectIndex[1]];\n        }\n\n        traceCoordinate[2] = this.data.z[selectIndex[1]][selectIndex[0]];\n        selection.traceCoordinate = traceCoordinate;\n\n        var sceneLayout = this.scene.fullSceneLayout;\n        selection.dataCoordinate = [\n            sceneLayout.xaxis.d2l(traceCoordinate[0], 0, this.data.xcalendar) * this.scene.dataScale[0],\n            sceneLayout.yaxis.d2l(traceCoordinate[1], 0, this.data.ycalendar) * this.scene.dataScale[1],\n            sceneLayout.zaxis.d2l(traceCoordinate[2], 0, this.data.zcalendar) * this.scene.dataScale[2]\n        ];\n\n        var text = this.data.text;\n        if(Array.isArray(text) && text[selectIndex[1]] && text[selectIndex[1]][selectIndex[0]] !== undefined) {\n            selection.textLabel = text[selectIndex[1]][selectIndex[0]];\n        } else if(text) {\n            selection.textLabel = text;\n        } else {\n            selection.textLabel = '';\n        }\n\n        selection.data.dataCoordinate = selection.dataCoordinate.slice();\n\n        this.surface.highlight(selection.data);\n\n        // Snap spikes to data coordinate\n        this.scene.glplot.spikes.position = selection.dataCoordinate;\n\n        return true;\n    }\n};\n\nfunction isColormapCircular(colormap) {\n    var first = colormap[0].rgb,\n        last = colormap[colormap.length - 1].rgb;\n\n    return (\n        first[0] === last[0] &&\n        first[1] === last[1] &&\n        first[2] === last[2] &&\n        first[3] === last[3]\n    );\n}\n\n// Pad coords by +1\nfunction padField(field) {\n    var shape = field.shape;\n    var nshape = [shape[0] + 2, shape[1] + 2];\n    var nfield = ndarray(new Float32Array(nshape[0] * nshape[1]), nshape);\n\n    // Center\n    ops.assign(nfield.lo(1, 1).hi(shape[0], shape[1]), field);\n\n    // Edges\n    ops.assign(nfield.lo(1).hi(shape[0], 1),\n                field.hi(shape[0], 1));\n    ops.assign(nfield.lo(1, nshape[1] - 1).hi(shape[0], 1),\n                field.lo(0, shape[1] - 1).hi(shape[0], 1));\n    ops.assign(nfield.lo(0, 1).hi(1, shape[1]),\n                field.hi(1));\n    ops.assign(nfield.lo(nshape[0] - 1, 1).hi(1, shape[1]),\n                field.lo(shape[0] - 1));\n\n    // Corners\n    nfield.set(0, 0, field.get(0, 0));\n    nfield.set(0, nshape[1] - 1, field.get(0, shape[1] - 1));\n    nfield.set(nshape[0] - 1, 0, field.get(shape[0] - 1, 0));\n    nfield.set(nshape[0] - 1, nshape[1] - 1, field.get(shape[0] - 1, shape[1] - 1));\n\n    return nfield;\n}\n\nfunction refine(coords) {\n    var minScale = Math.max(coords[0].shape[0], coords[0].shape[1]);\n\n    if(minScale < MIN_RESOLUTION) {\n        var scaleF = MIN_RESOLUTION / minScale;\n        var nshape = [\n            Math.floor((coords[0].shape[0]) * scaleF + 1)|0,\n            Math.floor((coords[0].shape[1]) * scaleF + 1)|0 ];\n        var nsize = nshape[0] * nshape[1];\n\n        for(var i = 0; i < coords.length; ++i) {\n            var padImg = padField(coords[i]);\n            var scaledImg = ndarray(new Float32Array(nsize), nshape);\n            homography(scaledImg, padImg, [scaleF, 0, 0,\n                0, scaleF, 0,\n                0, 0, 1]);\n            coords[i] = scaledImg;\n        }\n\n        return scaleF;\n    }\n\n    return 1.0;\n}\n\nproto.setContourLevels = function() {\n    var nlevels = [[], [], []];\n    var needsUpdate = false;\n\n    for(var i = 0; i < 3; ++i) {\n        if(this.showContour[i]) {\n            needsUpdate = true;\n            nlevels[i] = this.scene.contourLevels[i];\n        }\n    }\n\n    if(needsUpdate) {\n        this.surface.update({ levels: nlevels });\n    }\n};\n\nproto.update = function(data) {\n    var i,\n        scene = this.scene,\n        sceneLayout = scene.fullSceneLayout,\n        surface = this.surface,\n        alpha = data.opacity,\n        colormap = parseColorScale(data.colorscale, alpha),\n        z = data.z,\n        x = data.x,\n        y = data.y,\n        xaxis = sceneLayout.xaxis,\n        yaxis = sceneLayout.yaxis,\n        zaxis = sceneLayout.zaxis,\n        scaleFactor = scene.dataScale,\n        xlen = z[0].length,\n        ylen = data._ylength,\n        coords = [\n            ndarray(new Float32Array(xlen * ylen), [xlen, ylen]),\n            ndarray(new Float32Array(xlen * ylen), [xlen, ylen]),\n            ndarray(new Float32Array(xlen * ylen), [xlen, ylen])\n        ],\n        xc = coords[0],\n        yc = coords[1],\n        contourLevels = scene.contourLevels;\n\n    // Save data\n    this.data = data;\n\n    /*\n     * Fill and transpose zdata.\n     * Consistent with 'heatmap' and 'contour', plotly 'surface'\n     * 'z' are such that sub-arrays correspond to y-coords\n     * and that the sub-array entries correspond to a x-coords,\n     * which is the transpose of 'gl-surface-plot'.\n     */\n\n    var xcalendar = data.xcalendar,\n        ycalendar = data.ycalendar,\n        zcalendar = data.zcalendar;\n\n    fill(coords[2], function(row, col) {\n        return zaxis.d2l(z[col][row], 0, zcalendar) * scaleFactor[2];\n    });\n\n    // coords x\n    if(!isArrayOrTypedArray(x)) {\n        fill(xc, function(row) {\n            return xaxis.d2l(row, 0, xcalendar) * scaleFactor[0];\n        });\n    } else if(isArrayOrTypedArray(x[0])) {\n        fill(xc, function(row, col) {\n            return xaxis.d2l(x[col][row], 0, xcalendar) * scaleFactor[0];\n        });\n    } else {\n        // ticks x\n        fill(xc, function(row) {\n            return xaxis.d2l(x[row], 0, xcalendar) * scaleFactor[0];\n        });\n    }\n\n    // coords y\n    if(!isArrayOrTypedArray(x)) {\n        fill(yc, function(row, col) {\n            return yaxis.d2l(col, 0, xcalendar) * scaleFactor[1];\n        });\n    } else if(isArrayOrTypedArray(y[0])) {\n        fill(yc, function(row, col) {\n            return yaxis.d2l(y[col][row], 0, ycalendar) * scaleFactor[1];\n        });\n    } else {\n        // ticks y\n        fill(yc, function(row, col) {\n            return yaxis.d2l(y[col], 0, ycalendar) * scaleFactor[1];\n        });\n    }\n\n    var params = {\n        colormap: colormap,\n        levels: [[], [], []],\n        showContour: [true, true, true],\n        showSurface: !data.hidesurface,\n        contourProject: [\n            [false, false, false],\n            [false, false, false],\n            [false, false, false]\n        ],\n        contourWidth: [1, 1, 1],\n        contourColor: [[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]],\n        contourTint: [1, 1, 1],\n        dynamicColor: [[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]],\n        dynamicWidth: [1, 1, 1],\n        dynamicTint: [1, 1, 1],\n        opacity: data.opacity\n    };\n\n    params.intensityBounds = [data.cmin, data.cmax];\n\n    // Refine if necessary\n    if(data.surfacecolor) {\n        var intensity = ndarray(new Float32Array(xlen * ylen), [xlen, ylen]);\n\n        fill(intensity, function(row, col) {\n            return data.surfacecolor[col][row];\n        });\n\n        coords.push(intensity);\n    }\n    else {\n        // when 'z' is used as 'intensity',\n        // we must scale its value\n        params.intensityBounds[0] *= scaleFactor[2];\n        params.intensityBounds[1] *= scaleFactor[2];\n    }\n\n    this.dataScale = refine(coords);\n\n    if(data.surfacecolor) {\n        params.intensity = coords.pop();\n    }\n\n    var highlightEnable = [true, true, true];\n    var axis = ['x', 'y', 'z'];\n\n    for(i = 0; i < 3; ++i) {\n        var contourParams = data.contours[axis[i]];\n        highlightEnable[i] = contourParams.highlight;\n\n        params.showContour[i] = contourParams.show || contourParams.highlight;\n        if(!params.showContour[i]) continue;\n\n        params.contourProject[i] = [\n            contourParams.project.x,\n            contourParams.project.y,\n            contourParams.project.z\n        ];\n\n        if(contourParams.show) {\n            this.showContour[i] = true;\n            params.levels[i] = contourLevels[i];\n            surface.highlightColor[i] = params.contourColor[i] = str2RgbaArray(contourParams.color);\n\n            if(contourParams.usecolormap) {\n                surface.highlightTint[i] = params.contourTint[i] = 0;\n            }\n            else {\n                surface.highlightTint[i] = params.contourTint[i] = 1;\n            }\n            params.contourWidth[i] = contourParams.width;\n        } else {\n            this.showContour[i] = false;\n        }\n\n        if(contourParams.highlight) {\n            params.dynamicColor[i] = str2RgbaArray(contourParams.highlightcolor);\n            params.dynamicWidth[i] = contourParams.highlightwidth;\n        }\n    }\n\n    // see https://github.com/plotly/plotly.js/issues/940\n    if(isColormapCircular(colormap)) {\n        params.vertexColor = true;\n    }\n\n    params.coords = coords;\n\n    surface.update(params);\n\n    surface.visible = data.visible;\n    surface.enableDynamic = highlightEnable;\n    surface.enableHighlight = highlightEnable;\n\n    surface.snapToData = true;\n\n    if('lighting' in data) {\n        surface.ambientLight = data.lighting.ambient;\n        surface.diffuseLight = data.lighting.diffuse;\n        surface.specularLight = data.lighting.specular;\n        surface.roughness = data.lighting.roughness;\n        surface.fresnel = data.lighting.fresnel;\n    }\n\n    if('lightposition' in data) {\n        surface.lightPosition = [data.lightposition.x, data.lightposition.y, data.lightposition.z];\n    }\n\n    if(alpha && alpha < 1) {\n        surface.supportsTransparency = true;\n    }\n};\n\nproto.dispose = function() {\n    this.scene.glplot.remove(this.surface);\n    this.surface.dispose();\n};\n\nfunction createSurfaceTrace(scene, data) {\n    var gl = scene.glplot.gl;\n    var surface = createSurface({ gl: gl });\n    var result = new SurfaceTrace(scene, surface, data.uid);\n    surface._trace = result;\n    result.update(data);\n    scene.glplot.add(surface);\n    return result;\n}\n\nmodule.exports = createSurfaceTrace;\n\n},{\"../../lib\":696,\"../../lib/gl_format_color\":692,\"../../lib/str2rgbarray\":720,\"gl-surface3d\":303,\"ndarray\":433,\"ndarray-fill\":423,\"ndarray-homography\":425,\"ndarray-ops\":427}],1134:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Registry = _dereq_('../../registry');\nvar Lib = _dereq_('../../lib');\n\nvar colorscaleDefaults = _dereq_('../../components/colorscale/defaults');\nvar attributes = _dereq_('./attributes');\n\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    var i, j;\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    var z = coerce('z');\n    if(!z) {\n        traceOut.visible = false;\n        return;\n    }\n\n    var x = coerce('x');\n    coerce('y');\n\n    traceOut._xlength = (Array.isArray(x) && Lib.isArrayOrTypedArray(x[0])) ? z.length : z[0].length;\n    traceOut._ylength = z.length;\n\n    var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleTraceDefaults');\n    handleCalendarDefaults(traceIn, traceOut, ['x', 'y', 'z'], layout);\n\n    coerce('text');\n\n    // Coerce remaining properties\n    [\n        'lighting.ambient',\n        'lighting.diffuse',\n        'lighting.specular',\n        'lighting.roughness',\n        'lighting.fresnel',\n        'lightposition.x',\n        'lightposition.y',\n        'lightposition.z',\n        'hidesurface',\n        'opacity'\n    ].forEach(function(x) { coerce(x); });\n\n    var surfaceColor = coerce('surfacecolor');\n\n    coerce('colorscale');\n\n    var dims = ['x', 'y', 'z'];\n    for(i = 0; i < 3; ++i) {\n\n        var contourDim = 'contours.' + dims[i];\n        var show = coerce(contourDim + '.show');\n        var highlight = coerce(contourDim + '.highlight');\n\n        if(show || highlight) {\n            for(j = 0; j < 3; ++j) {\n                coerce(contourDim + '.project.' + dims[j]);\n            }\n        }\n\n        if(show) {\n            coerce(contourDim + '.color');\n            coerce(contourDim + '.width');\n            coerce(contourDim + '.usecolormap');\n        }\n\n        if(highlight) {\n            coerce(contourDim + '.highlightcolor');\n            coerce(contourDim + '.highlightwidth');\n        }\n    }\n\n    // backward compatibility block\n    if(!surfaceColor) {\n        mapLegacy(traceIn, 'zmin', 'cmin');\n        mapLegacy(traceIn, 'zmax', 'cmax');\n        mapLegacy(traceIn, 'zauto', 'cauto');\n    }\n\n    // TODO if contours.?.usecolormap are false and hidesurface is true\n    // the colorbar shouldn't be shown by default\n\n    colorscaleDefaults(\n        traceIn, traceOut, layout, coerce, {prefix: '', cLetter: 'c'}\n    );\n\n    // disable 1D transforms - currently surface does NOT support column data like heatmap does\n    // you can use mesh3d for this use case, but not surface\n    traceOut._length = null;\n};\n\nfunction mapLegacy(traceIn, oldAttr, newAttr) {\n    if(oldAttr in traceIn && !(newAttr in traceIn)) {\n        traceIn[newAttr] = traceIn[oldAttr];\n    }\n}\n\n},{\"../../components/colorscale/defaults\":580,\"../../lib\":696,\"../../registry\":828,\"./attributes\":1131}],1135:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n\n'use strict';\n\nvar Surface = {};\n\nSurface.attributes = _dereq_('./attributes');\nSurface.supplyDefaults = _dereq_('./defaults');\nSurface.colorbar = {\n    min: 'cmin',\n    max: 'cmax'\n};\nSurface.calc = _dereq_('./calc');\nSurface.plot = _dereq_('./convert');\n\nSurface.moduleType = 'trace';\nSurface.name = 'surface';\nSurface.basePlotModule = _dereq_('../../plots/gl3d');\nSurface.categories = ['gl3d', '2dMap', 'noOpacity'];\nSurface.meta = {\n    \n};\n\nmodule.exports = Surface;\n\n},{\"../../plots/gl3d\":788,\"./attributes\":1131,\"./calc\":1132,\"./convert\":1133,\"./defaults\":1134}],1136:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar annAttrs = _dereq_('../../components/annotations/attributes');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar overrideAll = _dereq_('../../plot_api/edit_types').overrideAll;\nvar fontAttrs = _dereq_('../../plots/font_attributes');\nvar domainAttrs = _dereq_('../../plots/domain').attributes;\n\nvar attrs = module.exports = overrideAll({\n    domain: domainAttrs({name: 'table', trace: true}),\n\n    columnwidth: {\n        valType: 'number',\n        arrayOk: true,\n        dflt: null,\n        \n        \n    },\n\n    columnorder: {\n        valType: 'data_array',\n        \n        \n    },\n\n    header: {\n\n        values: {\n            valType: 'data_array',\n            \n            dflt: [],\n            \n        },\n\n        format: {\n            valType: 'data_array',\n            \n            dflt: [],\n            \n        },\n\n        prefix: {\n            valType: 'string',\n            arrayOk: true,\n            dflt: null,\n            \n            \n        },\n\n        suffix: {\n            valType: 'string',\n            arrayOk: true,\n            dflt: null,\n            \n            \n        },\n\n        height: {\n            valType: 'number',\n            dflt: 28,\n            \n            \n        },\n\n        align: extendFlat({}, annAttrs.align, {arrayOk: true}),\n\n        line: {\n            width: {\n                valType: 'number',\n                arrayOk: true,\n                dflt: 1,\n                \n            },\n            color: {\n                valType: 'color',\n                arrayOk: true,\n                dflt: 'grey',\n                \n            }\n        },\n\n        fill: {\n            color: {\n                valType: 'color',\n                arrayOk: true,\n                dflt: 'white',\n                \n                \n            }\n        },\n\n        font: extendFlat({}, fontAttrs({arrayOk: true}))\n    },\n\n    cells: {\n\n        values: {\n            valType: 'data_array',\n            \n            dflt: [],\n            \n        },\n\n        format: {\n            valType: 'data_array',\n            \n            dflt: [],\n            \n        },\n\n        prefix: {\n            valType: 'string',\n            arrayOk: true,\n            dflt: null,\n            \n            \n        },\n\n        suffix: {\n            valType: 'string',\n            arrayOk: true,\n            dflt: null,\n            \n            \n        },\n\n        height: {\n            valType: 'number',\n            dflt: 20,\n            \n            \n        },\n\n        align: extendFlat({}, annAttrs.align, {arrayOk: true}),\n\n        line: {\n            width: {\n                valType: 'number',\n                arrayOk: true,\n                dflt: 1,\n                \n            },\n            color: {\n                valType: 'color',\n                arrayOk: true,\n                dflt: 'grey',\n                \n            }\n        },\n\n        fill: {\n            color: {\n                valType: 'color',\n                arrayOk: true,\n                \n                dflt: 'white',\n                \n            }\n        },\n\n        font: extendFlat({}, fontAttrs({arrayOk: true}))\n    }\n}, 'calc', 'from-root');\nattrs.transforms = undefined;\n\n},{\"../../components/annotations/attributes\":553,\"../../lib/extend\":685,\"../../plot_api/edit_types\":728,\"../../plots/domain\":771,\"../../plots/font_attributes\":772}],1137:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar getModuleCalcData = _dereq_('../../plots/get_data').getModuleCalcData;\nvar tablePlot = _dereq_('./plot');\n\nvar TABLE = 'table';\n\nexports.name = TABLE;\n\nexports.plot = function(gd) {\n    var calcData = getModuleCalcData(gd.calcdata, TABLE)[0];\n    if(calcData.length) tablePlot(gd, calcData);\n};\n\nexports.clean = function(newFullData, newFullLayout, oldFullData, oldFullLayout) {\n    var hadTable = (oldFullLayout._has && oldFullLayout._has(TABLE));\n    var hasTable = (newFullLayout._has && newFullLayout._has(TABLE));\n\n    if(hadTable && !hasTable) {\n        oldFullLayout._paperdiv.selectAll('.table').remove();\n    }\n};\n\n},{\"../../plots/get_data\":782,\"./plot\":1144}],1138:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar wrap = _dereq_('../../lib/gup').wrap;\n\nmodule.exports = function calc() {\n    // we don't actually need to include the trace here, since that will be added\n    // by Plots.doCalcdata, and that's all we actually need later.\n    return wrap({});\n};\n\n},{\"../../lib/gup\":693}],1139:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    cellPad: 8,\n    columnExtentOffset: 10,\n    columnTitleOffset: 28,\n    emptyHeaderHeight: 16,\n    latexCheck: /^\\$.*\\$$/,\n    goldenRatio: 1.618,\n    lineBreaker: '<br>',\n    maxDimensionCount: 60,\n    overdrag: 45,\n    releaseTransitionDuration: 120,\n    releaseTransitionEase: 'cubic-out',\n    scrollbarCaptureWidth: 18,\n    scrollbarHideDelay: 1000,\n    scrollbarHideDuration: 1000,\n    scrollbarOffset: 5,\n    scrollbarWidth: 8,\n    transitionDuration: 100,\n    transitionEase: 'cubic-out',\n    uplift: 5,\n    wrapSpacer: ' ',\n    wrapSplitCharacter: ' ',\n    cn: {\n        // general class names\n        table: 'table',\n        tableControlView: 'table-control-view',\n        scrollBackground: 'scroll-background',\n        yColumn: 'y-column',\n        columnBlock: 'column-block',\n        scrollAreaClip: 'scroll-area-clip',\n        scrollAreaClipRect: 'scroll-area-clip-rect',\n        columnBoundary: 'column-boundary',\n        columnBoundaryClippath: 'column-boundary-clippath',\n        columnBoundaryRect: 'column-boundary-rect',\n        columnCells: 'column-cells',\n        columnCell: 'column-cell',\n        cellRect: 'cell-rect',\n        cellText: 'cell-text',\n        cellTextHolder: 'cell-text-holder',\n\n        // scroll related class names\n        scrollbarKit: 'scrollbar-kit',\n        scrollbar: 'scrollbar',\n        scrollbarSlider: 'scrollbar-slider',\n        scrollbarGlyph: 'scrollbar-glyph',\n        scrollbarCaptureZone: 'scrollbar-capture-zone'\n    }\n};\n\n},{}],1140:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar c = _dereq_('./constants');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\nvar isNumeric = _dereq_('fast-isnumeric');\n\n// pure functions, don't alter but passes on `gd` and parts of `trace` without deep copying\nmodule.exports = function calc(gd, trace) {\n    var cellsValues = squareStringMatrix(trace.cells.values);\n    var slicer = function(a) {\n        return a.slice(trace.header.values.length, a.length);\n    };\n    var headerValuesIn = squareStringMatrix(trace.header.values);\n    if(headerValuesIn.length && !headerValuesIn[0].length) {\n        headerValuesIn[0] = [''];\n        headerValuesIn = squareStringMatrix(headerValuesIn);\n    }\n    var headerValues = headerValuesIn\n        .concat(slicer(cellsValues).map(function() {\n            return emptyStrings((headerValuesIn[0] || ['']).length);\n        }));\n\n    var domain = trace.domain;\n    var groupWidth = Math.floor(gd._fullLayout._size.w * (domain.x[1] - domain.x[0]));\n    var groupHeight = Math.floor(gd._fullLayout._size.h * (domain.y[1] - domain.y[0]));\n    var headerRowHeights = trace.header.values.length ?\n        headerValues[0].map(function() { return trace.header.height; }) :\n        [c.emptyHeaderHeight];\n    var rowHeights = cellsValues.length ? cellsValues[0].map(function() { return trace.cells.height; }) : [];\n    var headerHeight = headerRowHeights.reduce(sum, 0);\n    var scrollHeight = groupHeight - headerHeight;\n    var minimumFillHeight = scrollHeight + c.uplift;\n    var anchorToRowBlock = makeAnchorToRowBlock(rowHeights, minimumFillHeight);\n    var anchorToHeaderRowBlock = makeAnchorToRowBlock(headerRowHeights, headerHeight);\n    var headerRowBlocks = makeRowBlock(anchorToHeaderRowBlock, []);\n    var rowBlocks = makeRowBlock(anchorToRowBlock, headerRowBlocks);\n    var uniqueKeys = {};\n    var columnOrder = trace._fullInput.columnorder.concat(slicer(cellsValues.map(function(d, i) {return i;})));\n    var columnWidths = headerValues.map(function(d, i) {\n        var value = Array.isArray(trace.columnwidth) ?\n            trace.columnwidth[Math.min(i, trace.columnwidth.length - 1)] :\n            trace.columnwidth;\n        return isNumeric(value) ? Number(value) : 1;\n    });\n    var totalColumnWidths = columnWidths.reduce(sum, 0);\n\n    // fit columns in the available vertical space as there's no vertical scrolling now\n    columnWidths = columnWidths.map(function(d) { return d / totalColumnWidths * groupWidth; });\n\n    var maxLineWidth = Math.max(arrayMax(trace.header.line.width), arrayMax(trace.cells.line.width));\n\n    var calcdata = {\n        key: trace.index,\n        translateX: domain.x[0] * gd._fullLayout._size.w,\n        translateY: gd._fullLayout._size.h * (1 - domain.y[1]),\n        size: gd._fullLayout._size,\n        width: groupWidth,\n        maxLineWidth: maxLineWidth,\n        height: groupHeight,\n        columnOrder: columnOrder, // will be mutated on column move, todo use in callback\n        groupHeight: groupHeight,\n        rowBlocks: rowBlocks,\n        headerRowBlocks: headerRowBlocks,\n        scrollY: 0, // will be mutated on scroll\n        cells: extendFlat({}, trace.cells, {values: cellsValues}),\n        headerCells: extendFlat({}, trace.header, {values: headerValues}),\n        gdColumns: headerValues.map(function(d) {return d[0];}),\n        gdColumnsOriginalOrder: headerValues.map(function(d) {return d[0];}),\n        prevPages: [0, 0],\n        scrollbarState: {scrollbarScrollInProgress: false},\n        columns: headerValues.map(function(label, i) {\n            var foundKey = uniqueKeys[label];\n            uniqueKeys[label] = (foundKey || 0) + 1;\n            var key = label + '__' + uniqueKeys[label];\n            return {\n                key: key,\n                label: label,\n                specIndex: i,\n                xIndex: columnOrder[i],\n                xScale: xScale,\n                x: undefined, // initialized below\n                calcdata: undefined, // initialized below\n                columnWidth: columnWidths[i]\n            };\n        })\n    };\n\n    calcdata.columns.forEach(function(col) {\n        col.calcdata = calcdata;\n        col.x = xScale(col);\n    });\n\n    return calcdata;\n};\n\nfunction arrayMax(maybeArray) {\n    if(Array.isArray(maybeArray)) {\n        var max = 0;\n        for(var i = 0; i < maybeArray.length; i++) {\n            max = Math.max(max, arrayMax(maybeArray[i]));\n        }\n        return max;\n    }\n    return maybeArray;\n}\n\nfunction sum(a, b) { return a + b; }\n\n// fill matrix in place to equal lengths\n// and ensure it's uniformly 2D\nfunction squareStringMatrix(matrixIn) {\n    var matrix = matrixIn.slice();\n    var minLen = Infinity;\n    var maxLen = 0;\n    var i;\n    for(i = 0; i < matrix.length; i++) {\n        if(!Array.isArray(matrix[i])) matrix[i] = [matrix[i]];\n        minLen = Math.min(minLen, matrix[i].length);\n        maxLen = Math.max(maxLen, matrix[i].length);\n    }\n\n    if(minLen !== maxLen) {\n        for(i = 0; i < matrix.length; i++) {\n            var padLen = maxLen - matrix[i].length;\n            if(padLen) matrix[i] = matrix[i].concat(emptyStrings(padLen));\n        }\n    }\n    return matrix;\n}\n\nfunction emptyStrings(len) {\n    var padArray = new Array(len);\n    for(var j = 0; j < len; j++) padArray[j] = '';\n    return padArray;\n}\n\nfunction xScale(d) {\n    return d.calcdata.columns.reduce(function(prev, next) {\n        return next.xIndex < d.xIndex ? prev + next.columnWidth : prev;\n    }, 0);\n}\n\nfunction makeRowBlock(anchorToRowBlock, auxiliary) {\n    var blockAnchorKeys = Object.keys(anchorToRowBlock);\n    return blockAnchorKeys.map(function(k) {return extendFlat({}, anchorToRowBlock[k], {auxiliaryBlocks: auxiliary});});\n}\n\nfunction makeAnchorToRowBlock(rowHeights, minimumFillHeight) {\n\n    var anchorToRowBlock = {};\n    var currentRowHeight;\n    var currentAnchor = 0;\n    var currentBlockHeight = 0;\n    var currentBlock = makeIdentity();\n    var currentFirstRowIndex = 0;\n    var blockCounter = 0;\n    for(var i = 0; i < rowHeights.length; i++) {\n        currentRowHeight = rowHeights[i];\n        currentBlock.rows.push({\n            rowIndex: i,\n            rowHeight: currentRowHeight\n        });\n        currentBlockHeight += currentRowHeight;\n        if(currentBlockHeight >= minimumFillHeight || i === rowHeights.length - 1) {\n            anchorToRowBlock[currentAnchor] = currentBlock;\n            currentBlock.key = blockCounter++;\n            currentBlock.firstRowIndex = currentFirstRowIndex;\n            currentBlock.lastRowIndex = i;\n            currentBlock = makeIdentity();\n            currentAnchor += currentBlockHeight;\n            currentFirstRowIndex = i + 1;\n            currentBlockHeight = 0;\n        }\n    }\n\n    return anchorToRowBlock;\n}\n\nfunction makeIdentity() {\n    return {\n        firstRowIndex: null,\n        lastRowIndex: null,\n        rows: []\n    };\n}\n\n},{\"../../lib/extend\":685,\"./constants\":1139,\"fast-isnumeric\":214}],1141:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\n// pure functions, don't alter but passes on `gd` and parts of `trace` without deep copying\n\nexports.splitToPanels = function(d) {\n    var prevPages = [0, 0];\n    var headerPanel = extendFlat({}, d, {\n        key: 'header',\n        type: 'header',\n        page: 0,\n        prevPages: prevPages,\n        currentRepaint: [null, null],\n        dragHandle: true,\n        values: d.calcdata.headerCells.values[d.specIndex],\n        rowBlocks: d.calcdata.headerRowBlocks,\n        calcdata: extendFlat({}, d.calcdata, {cells: d.calcdata.headerCells})\n    });\n    var revolverPanel1 = extendFlat({}, d, {\n        key: 'cells1',\n        type: 'cells',\n        page: 0,\n        prevPages: prevPages,\n        currentRepaint: [null, null],\n        dragHandle: false,\n        values: d.calcdata.cells.values[d.specIndex],\n        rowBlocks: d.calcdata.rowBlocks\n    });\n    var revolverPanel2 = extendFlat({}, d, {\n        key: 'cells2',\n        type: 'cells',\n        page: 1,\n        prevPages: prevPages,\n        currentRepaint: [null, null],\n        dragHandle: false,\n        values: d.calcdata.cells.values[d.specIndex],\n        rowBlocks: d.calcdata.rowBlocks\n    });\n    // order due to SVG using painter's algo:\n    return [revolverPanel1, revolverPanel2, headerPanel];\n};\n\nexports.splitToCells = function(d) {\n    var fromTo = rowFromTo(d);\n    return (d.values || []).slice(fromTo[0], fromTo[1]).map(function(v, i) {\n        // By keeping identical key, a DOM node removal, creation and addition is spared, important when visible\n        // grid has a lot of elements (quadratic with xcol/ycol count).\n        // But it has to be busted when `svgUtil.convertToTspans` is used as it reshapes cell subtrees asynchronously,\n        // and by that time the user may have scrolled away, resulting in stale overwrites. The real solution will be\n        // to turn `svgUtil.convertToTspans` into a cancelable request, in which case no key busting is needed.\n        var buster = (typeof v === 'string') && v.match(/[<$&> ]/) ? '_keybuster_' + Math.random() : '';\n        return {\n            // keyWithinBlock: /*fromTo[0] + */i, // optimized future version - no busting\n            // keyWithinBlock: fromTo[0] + i, // initial always-unoptimized version - janky scrolling with 5+ columns\n            keyWithinBlock: i + buster, // current compromise: regular content is very fast; async content is possible\n            key: fromTo[0] + i,\n            column: d,\n            calcdata: d.calcdata,\n            page: d.page,\n            rowBlocks: d.rowBlocks,\n            value: v\n        };\n    });\n};\n\nfunction rowFromTo(d) {\n    var rowBlock = d.rowBlocks[d.page];\n    // fixme rowBlock truthiness check is due to ugly hack of placing 2nd panel as d.page = -1\n    var rowFrom = rowBlock ? rowBlock.rows[0].rowIndex : 0;\n    var rowTo = rowBlock ? rowFrom + rowBlock.rows.length : 0;\n    return [rowFrom, rowTo];\n}\n\n},{\"../../lib/extend\":685}],1142:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar attributes = _dereq_('./attributes');\nvar handleDomainDefaults = _dereq_('../../plots/domain').defaults;\n\nfunction defaultColumnOrder(traceOut, coerce) {\n    var specifiedColumnOrder = traceOut.columnorder || [];\n    var commonLength = traceOut.header.values.length;\n    var truncated = specifiedColumnOrder.slice(0, commonLength);\n    var sorted = truncated.slice().sort(function(a, b) {return a - b;});\n    var oneStepped = truncated.map(function(d) {return sorted.indexOf(d);});\n    for(var i = oneStepped.length; i < commonLength; i++) {\n        oneStepped.push(i);\n    }\n    coerce('columnorder', oneStepped);\n}\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    handleDomainDefaults(traceOut, layout, coerce);\n\n    coerce('columnwidth');\n\n    coerce('header.values');\n    coerce('header.format');\n    coerce('header.align');\n\n    coerce('header.prefix');\n    coerce('header.suffix');\n    coerce('header.height');\n    coerce('header.line.width');\n    coerce('header.line.color');\n    coerce('header.fill.color');\n    Lib.coerceFont(coerce, 'header.font', Lib.extendFlat({}, layout.font));\n\n    defaultColumnOrder(traceOut, coerce);\n\n    coerce('cells.values');\n    coerce('cells.format');\n    coerce('cells.align');\n    coerce('cells.prefix');\n    coerce('cells.suffix');\n    coerce('cells.height');\n    coerce('cells.line.width');\n    coerce('cells.line.color');\n    coerce('cells.fill.color');\n    Lib.coerceFont(coerce, 'cells.font', Lib.extendFlat({}, layout.font));\n\n    // disable 1D transforms\n    traceOut._length = null;\n};\n\n},{\"../../lib\":696,\"../../plots/domain\":771,\"./attributes\":1136}],1143:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Table = {};\n\nTable.attributes = _dereq_('./attributes');\nTable.supplyDefaults = _dereq_('./defaults');\nTable.calc = _dereq_('./calc');\nTable.plot = _dereq_('./plot');\n\nTable.moduleType = 'trace';\nTable.name = 'table';\nTable.basePlotModule = _dereq_('./base_plot');\nTable.categories = ['noOpacity'];\nTable.meta = {\n    \n};\n\nmodule.exports = Table;\n\n},{\"./attributes\":1136,\"./base_plot\":1137,\"./calc\":1138,\"./defaults\":1142,\"./plot\":1144}],1144:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar c = _dereq_('./constants');\nvar d3 = _dereq_('d3');\nvar gup = _dereq_('../../lib/gup');\nvar Drawing = _dereq_('../../components/drawing');\nvar svgUtil = _dereq_('../../lib/svg_text_utils');\nvar raiseToTop = _dereq_('../../lib').raiseToTop;\nvar cancelEeaseColumn = _dereq_('../../lib').cancelTransition;\nvar prepareData = _dereq_('./data_preparation_helper');\nvar splitData = _dereq_('./data_split_helpers');\nvar Color = _dereq_('../../components/color');\n\nmodule.exports = function plot(gd, wrappedTraceHolders) {\n\n    var table = gd._fullLayout._paper.selectAll('.' + c.cn.table)\n        .data(wrappedTraceHolders.map(function(wrappedTraceHolder) {\n            var traceHolder = gup.unwrap(wrappedTraceHolder);\n            var trace = traceHolder.trace;\n            return prepareData(gd, trace);\n        }), gup.keyFun);\n\n    table.exit().remove();\n\n    table.enter()\n        .append('g')\n        .classed(c.cn.table, true)\n        .attr('overflow', 'visible')\n        .style('box-sizing', 'content-box')\n        .style('position', 'absolute')\n        .style('left', 0)\n        .style('overflow', 'visible')\n        .style('shape-rendering', 'crispEdges')\n        .style('pointer-events', 'all');\n\n    table\n        .attr('width', function(d) {return d.width + d.size.l + d.size.r;})\n        .attr('height', function(d) {return d.height + d.size.t + d.size.b;})\n        .attr('transform', function(d) {\n            return 'translate(' + d.translateX + ',' + d.translateY + ')';\n        });\n\n    var tableControlView = table.selectAll('.' + c.cn.tableControlView)\n        .data(gup.repeat, gup.keyFun);\n\n    tableControlView.enter()\n        .append('g')\n        .classed(c.cn.tableControlView, true)\n        .style('box-sizing', 'content-box')\n        .on('mousemove', function(d) {tableControlView.filter(function(dd) {return d === dd;}).call(renderScrollbarKit, gd);})\n        .on('mousewheel', function(d) {\n            if(d.scrollbarState.wheeling) return;\n            d.scrollbarState.wheeling = true;\n            d3.event.stopPropagation();\n            d3.event.preventDefault();\n            makeDragRow(gd, tableControlView, null, d.scrollY + d3.event.deltaY)(d);\n            d.scrollbarState.wheeling = false;\n        })\n        .call(renderScrollbarKit, gd, true);\n\n    tableControlView\n        .attr('transform', function(d) {return 'translate(' + d.size.l + ' ' + d.size.t + ')';});\n\n    // scrollBackground merely ensures that mouse events are captured even on crazy fast scrollwheeling\n    // otherwise rendering glitches may occur\n    var scrollBackground = tableControlView.selectAll('.' + c.cn.scrollBackground)\n        .data(gup.repeat, gup.keyFun);\n\n    scrollBackground.enter()\n        .append('rect')\n        .classed(c.cn.scrollBackground, true)\n        .attr('fill', 'none');\n\n    scrollBackground\n        .attr('width', function(d) {return d.width;})\n        .attr('height', function(d) {return d.height;});\n\n    tableControlView\n        .each(function(d) {Drawing.setClipUrl(d3.select(this), scrollAreaBottomClipKey(gd, d));});\n\n    var yColumn = tableControlView.selectAll('.' + c.cn.yColumn)\n        .data(function(vm) {return vm.columns;}, gup.keyFun);\n\n    yColumn.enter()\n        .append('g')\n        .classed(c.cn.yColumn, true);\n\n    yColumn.exit().remove();\n\n    yColumn\n        .attr('transform', function(d) {return 'translate(' + d.x + ' 0)';})\n        .call(d3.behavior.drag()\n            .origin(function(d) {\n                var movedColumn = d3.select(this);\n                easeColumn(movedColumn, d, -c.uplift);\n                raiseToTop(this);\n                d.calcdata.columnDragInProgress = true;\n                renderScrollbarKit(tableControlView.filter(function(dd) {return d.calcdata.key === dd.key;}), gd);\n                return d;\n            })\n            .on('drag', function(d) {\n                var movedColumn = d3.select(this);\n                var getter = function(dd) {return (d === dd ? d3.event.x : dd.x) + dd.columnWidth / 2;};\n                d.x = Math.max(-c.overdrag, Math.min(d.calcdata.width + c.overdrag - d.columnWidth, d3.event.x));\n\n                var sortableColumns = flatData(yColumn).filter(function(dd) {return dd.calcdata.key === d.calcdata.key;});\n                var newOrder = sortableColumns.sort(function(a, b) {return getter(a) - getter(b);});\n                newOrder.forEach(function(dd, i) {\n                    dd.xIndex = i;\n                    dd.x = d === dd ? dd.x : dd.xScale(dd);\n                });\n\n                yColumn.filter(function(dd) {return d !== dd;})\n                    .transition()\n                    .ease(c.transitionEase)\n                    .duration(c.transitionDuration)\n                    .attr('transform', function(d) {return 'translate(' + d.x + ' 0)';});\n                movedColumn\n                    .call(cancelEeaseColumn)\n                    .attr('transform', 'translate(' + d.x + ' -' + c.uplift + ' )');\n            })\n            .on('dragend', function(d) {\n                var movedColumn = d3.select(this);\n                var p = d.calcdata;\n                d.x = d.xScale(d);\n                d.calcdata.columnDragInProgress = false;\n                easeColumn(movedColumn, d, 0);\n                columnMoved(gd, p, p.columns.map(function(dd) {return dd.xIndex;}));\n            })\n        );\n\n    yColumn.each(function(d) {Drawing.setClipUrl(d3.select(this), columnBoundaryClipKey(gd, d));});\n\n    var columnBlock = yColumn.selectAll('.' + c.cn.columnBlock)\n        .data(splitData.splitToPanels, gup.keyFun);\n\n    columnBlock.enter()\n        .append('g')\n        .classed(c.cn.columnBlock, true)\n        .attr('id', function(d) {return d.key;});\n\n    columnBlock\n        .style('cursor', function(d) {\n            return d.dragHandle ? 'ew-resize' : d.calcdata.scrollbarState.barWiggleRoom ? 'ns-resize' : 'default';\n        });\n\n    var headerColumnBlock = columnBlock.filter(headerBlock);\n    var cellsColumnBlock = columnBlock.filter(cellsBlock);\n\n    cellsColumnBlock\n        .call(d3.behavior.drag()\n            .origin(function(d) {\n                d3.event.stopPropagation();\n                return d;\n            })\n            .on('drag', makeDragRow(gd, tableControlView, -1))\n            .on('dragend', function() {\n                // fixme emit plotly notification\n            })\n        );\n\n    // initial rendering: header is rendered first, as it may may have async LaTeX (show header first)\n    // but blocks are _entered_ the way they are due to painter's algo (header on top)\n    renderColumnCellTree(gd, tableControlView, headerColumnBlock, columnBlock);\n    renderColumnCellTree(gd, tableControlView, cellsColumnBlock, columnBlock);\n\n    var scrollAreaClip = tableControlView.selectAll('.' + c.cn.scrollAreaClip)\n        .data(gup.repeat, gup.keyFun);\n\n    scrollAreaClip.enter()\n        .append('clipPath')\n        .classed(c.cn.scrollAreaClip, true)\n        .attr('id', function(d) {return scrollAreaBottomClipKey(gd, d);});\n\n    var scrollAreaClipRect = scrollAreaClip.selectAll('.' + c.cn.scrollAreaClipRect)\n        .data(gup.repeat, gup.keyFun);\n\n    scrollAreaClipRect.enter()\n        .append('rect')\n        .classed(c.cn.scrollAreaClipRect, true)\n        .attr('x', -c.overdrag)\n        .attr('y', -c.uplift)\n        .attr('fill', 'none');\n\n    scrollAreaClipRect\n        .attr('width', function(d) {return d.width + 2 * c.overdrag;})\n        .attr('height', function(d) {return d.height + c.uplift;});\n\n    var columnBoundary = yColumn.selectAll('.' + c.cn.columnBoundary)\n        .data(gup.repeat, gup.keyFun);\n\n    columnBoundary.enter()\n        .append('g')\n        .classed(c.cn.columnBoundary, true);\n\n    var columnBoundaryClippath = yColumn.selectAll('.' + c.cn.columnBoundaryClippath)\n        .data(gup.repeat, gup.keyFun);\n\n    // SVG spec doesn't mandate wrapping into a <defs> and doesn't seem to cause a speed difference\n    columnBoundaryClippath.enter()\n        .append('clipPath')\n        .classed(c.cn.columnBoundaryClippath, true);\n\n    columnBoundaryClippath\n        .attr('id', function(d) {return columnBoundaryClipKey(gd, d);});\n\n    var columnBoundaryRect = columnBoundaryClippath.selectAll('.' + c.cn.columnBoundaryRect)\n        .data(gup.repeat, gup.keyFun);\n\n    columnBoundaryRect.enter()\n        .append('rect')\n        .classed(c.cn.columnBoundaryRect, true)\n        .attr('fill', 'none');\n\n    columnBoundaryRect\n        .attr('width', function(d) { return d.columnWidth + 2 * roundHalfWidth(d); })\n        .attr('height', function(d) {return d.calcdata.height + 2 * roundHalfWidth(d) + c.uplift;})\n        .attr('x', function(d) { return -roundHalfWidth(d); })\n        .attr('y', function(d) { return -roundHalfWidth(d); });\n\n    updateBlockYPosition(null, cellsColumnBlock, tableControlView);\n};\n\nfunction roundHalfWidth(d) {\n    return Math.ceil(d.calcdata.maxLineWidth / 2);\n}\n\nfunction scrollAreaBottomClipKey(gd, d) {\n    return 'clip' + gd._fullLayout._uid + '_scrollAreaBottomClip_' + d.key;\n}\n\nfunction columnBoundaryClipKey(gd, d) {\n    return 'clip' + gd._fullLayout._uid + '_columnBoundaryClippath_' + d.calcdata.key + '_' + d.specIndex;\n}\n\nfunction flatData(selection) {\n    return [].concat.apply([], selection.map(function(g) {return g;}))\n        .map(function(g) {return g.__data__;});\n}\n\nfunction renderScrollbarKit(tableControlView, gd, bypassVisibleBar) {\n\n    function calcTotalHeight(d) {\n        var blocks = d.rowBlocks;\n        return firstRowAnchor(blocks, blocks.length - 1) + (blocks.length ? rowsHeight(blocks[blocks.length - 1], Infinity) : 1);\n    }\n\n    var scrollbarKit = tableControlView.selectAll('.' + c.cn.scrollbarKit)\n        .data(gup.repeat, gup.keyFun);\n\n    scrollbarKit.enter()\n        .append('g')\n        .classed(c.cn.scrollbarKit, true)\n        .style('shape-rendering', 'geometricPrecision');\n\n    scrollbarKit\n        .each(function(d) {\n            var s = d.scrollbarState;\n            s.totalHeight = calcTotalHeight(d);\n            s.scrollableAreaHeight = d.groupHeight - headerHeight(d);\n            s.currentlyVisibleHeight = Math.min(s.totalHeight, s.scrollableAreaHeight);\n            s.ratio = s.currentlyVisibleHeight / s.totalHeight;\n            s.barLength = Math.max(s.ratio * s.currentlyVisibleHeight, c.goldenRatio * c.scrollbarWidth);\n            s.barWiggleRoom = s.currentlyVisibleHeight - s.barLength;\n            s.wiggleRoom = Math.max(0, s.totalHeight - s.scrollableAreaHeight);\n            s.topY = s.barWiggleRoom === 0 ? 0 : (d.scrollY / s.wiggleRoom) * s.barWiggleRoom;\n            s.bottomY = s.topY + s.barLength;\n            s.dragMultiplier = s.wiggleRoom / s.barWiggleRoom;\n        })\n        .attr('transform', function(d) {\n            var xPosition = d.width + c.scrollbarWidth / 2 + c.scrollbarOffset;\n            return 'translate(' + xPosition + ' ' + headerHeight(d) + ')';\n        });\n\n    var scrollbar = scrollbarKit.selectAll('.' + c.cn.scrollbar)\n        .data(gup.repeat, gup.keyFun);\n\n    scrollbar.enter()\n        .append('g')\n        .classed(c.cn.scrollbar, true);\n\n    var scrollbarSlider = scrollbar.selectAll('.' + c.cn.scrollbarSlider)\n        .data(gup.repeat, gup.keyFun);\n\n    scrollbarSlider.enter()\n        .append('g')\n        .classed(c.cn.scrollbarSlider, true);\n\n    scrollbarSlider\n        .attr('transform', function(d) {\n            return 'translate(0 ' + (d.scrollbarState.topY || 0) + ')';\n        });\n\n    var scrollbarGlyph = scrollbarSlider.selectAll('.' + c.cn.scrollbarGlyph)\n        .data(gup.repeat, gup.keyFun);\n\n    scrollbarGlyph.enter()\n        .append('line')\n        .classed(c.cn.scrollbarGlyph, true)\n        .attr('stroke', 'black')\n        .attr('stroke-width', c.scrollbarWidth)\n        .attr('stroke-linecap', 'round')\n        .attr('y1', c.scrollbarWidth / 2);\n\n    scrollbarGlyph\n        .attr('y2', function(d) {\n            return d.scrollbarState.barLength - c.scrollbarWidth / 2;\n        })\n        .attr('stroke-opacity', function(d) {\n            return d.columnDragInProgress || !d.scrollbarState.barWiggleRoom || bypassVisibleBar ? 0 : 0.4;\n        });\n\n    // cancel transition: possible pending (also, delayed) transition\n    scrollbarGlyph\n        .transition().delay(0).duration(0);\n\n    scrollbarGlyph\n        .transition().delay(c.scrollbarHideDelay).duration(c.scrollbarHideDuration)\n        .attr('stroke-opacity', 0);\n\n    var scrollbarCaptureZone = scrollbar.selectAll('.' + c.cn.scrollbarCaptureZone)\n        .data(gup.repeat, gup.keyFun);\n\n    scrollbarCaptureZone.enter()\n        .append('line')\n        .classed(c.cn.scrollbarCaptureZone, true)\n        .attr('stroke', 'white')\n        .attr('stroke-opacity', 0.01) // some browser might get rid of a 0 opacity element\n        .attr('stroke-width', c.scrollbarCaptureWidth)\n        .attr('stroke-linecap', 'butt')\n        .attr('y1', 0)\n        .on('mousedown', function(d) {\n            var y = d3.event.y;\n            var bbox = this.getBoundingClientRect();\n            var s = d.scrollbarState;\n            var pixelVal = y - bbox.top;\n            var inverseScale = d3.scale.linear().domain([0, s.scrollableAreaHeight]).range([0, s.totalHeight]).clamp(true);\n            if(!(s.topY <= pixelVal && pixelVal <= s.bottomY)) {\n                makeDragRow(gd, tableControlView, null, inverseScale(pixelVal - s.barLength / 2))(d);\n            }\n        })\n        .call(d3.behavior.drag()\n            .origin(function(d) {\n                d3.event.stopPropagation();\n                d.scrollbarState.scrollbarScrollInProgress = true;\n                return d;\n            })\n            .on('drag', makeDragRow(gd, tableControlView))\n            .on('dragend', function() {\n                // fixme emit Plotly event\n            })\n        );\n\n    scrollbarCaptureZone\n        .attr('y2', function(d) {\n            return d.scrollbarState.scrollableAreaHeight;\n        });\n}\n\nfunction renderColumnCellTree(gd, tableControlView, columnBlock, allColumnBlock) {\n    // fixme this perf hotspot\n    // this is performance critical code as scrolling calls it on every revolver switch\n    // it appears sufficiently fast but there are plenty of low-hanging fruits for performance optimization\n\n    var columnCells = renderColumnCells(columnBlock);\n\n    var columnCell = renderColumnCell(columnCells);\n\n    supplyStylingValues(columnCell);\n\n    var cellRect = renderCellRect(columnCell);\n\n    sizeAndStyleRect(cellRect);\n\n    var cellTextHolder = renderCellTextHolder(columnCell);\n\n    var cellText = renderCellText(cellTextHolder);\n\n    setFont(cellText);\n    populateCellText(cellText, tableControlView, allColumnBlock, gd);\n\n    // doing this at the end when text, and text stlying are set\n    setCellHeightAndPositionY(columnCell);\n}\n\nfunction renderColumnCells(columnBlock) {\n\n    var columnCells = columnBlock.selectAll('.' + c.cn.columnCells)\n        .data(gup.repeat, gup.keyFun);\n\n    columnCells.enter()\n        .append('g')\n        .classed(c.cn.columnCells, true);\n\n    columnCells.exit()\n        .remove();\n\n    return columnCells;\n}\n\nfunction renderColumnCell(columnCells) {\n\n    var columnCell = columnCells.selectAll('.' + c.cn.columnCell)\n        .data(splitData.splitToCells, function(d) {return d.keyWithinBlock;});\n\n    columnCell.enter()\n        .append('g')\n        .classed(c.cn.columnCell, true);\n\n    columnCell.exit()\n        .remove();\n\n    return columnCell;\n}\n\nfunction renderCellRect(columnCell) {\n\n    var cellRect = columnCell.selectAll('.' + c.cn.cellRect)\n        .data(gup.repeat, function(d) {return d.keyWithinBlock;});\n\n    cellRect.enter()\n        .append('rect')\n        .classed(c.cn.cellRect, true);\n\n    return cellRect;\n}\n\nfunction renderCellText(cellTextHolder) {\n\n    var cellText = cellTextHolder.selectAll('.' + c.cn.cellText)\n        .data(gup.repeat, function(d) {return d.keyWithinBlock;});\n\n    cellText.enter()\n        .append('text')\n        .classed(c.cn.cellText, true)\n        .style('cursor', function() {return 'auto';})\n        .on('mousedown', function() {d3.event.stopPropagation();});\n\n    return cellText;\n}\n\nfunction renderCellTextHolder(columnCell) {\n\n    var cellTextHolder = columnCell.selectAll('.' + c.cn.cellTextHolder)\n        .data(gup.repeat, function(d) {return d.keyWithinBlock;});\n\n    cellTextHolder.enter()\n        .append('g')\n        .classed(c.cn.cellTextHolder, true)\n        .style('shape-rendering', 'geometricPrecision');\n\n    return cellTextHolder;\n}\n\nfunction supplyStylingValues(columnCell) {\n    columnCell\n        .each(function(d, i) {\n            var spec = d.calcdata.cells.font;\n            var col = d.column.specIndex;\n            var font = {\n                size: gridPick(spec.size, col, i),\n                color: gridPick(spec.color, col, i),\n                family: gridPick(spec.family, col, i)\n            };\n            d.rowNumber = d.key;\n            d.align = gridPick(d.calcdata.cells.align, col, i);\n            d.cellBorderWidth = gridPick(d.calcdata.cells.line.width, col, i);\n            d.font = font;\n        });\n}\n\nfunction setFont(cellText) {\n    cellText\n        .each(function(d) {\n            Drawing.font(d3.select(this), d.font);\n        });\n}\n\nfunction sizeAndStyleRect(cellRect) {\n    cellRect\n        .attr('width', function(d) {return d.column.columnWidth;})\n        .attr('stroke-width', function(d) {return d.cellBorderWidth;})\n        .each(function(d) {\n            var atomicSelection = d3.select(this);\n            Color.stroke(atomicSelection, gridPick(d.calcdata.cells.line.color, d.column.specIndex, d.rowNumber));\n            Color.fill(atomicSelection, gridPick(d.calcdata.cells.fill.color, d.column.specIndex, d.rowNumber));\n        });\n}\n\nfunction populateCellText(cellText, tableControlView, allColumnBlock, gd) {\n    cellText\n        .text(function(d) {\n\n            var col = d.column.specIndex;\n            var row = d.rowNumber;\n\n            var userSuppliedContent = d.value;\n            var stringSupplied = (typeof userSuppliedContent === 'string');\n            var hasBreaks = stringSupplied && userSuppliedContent.match(/<br>/i);\n            var userBrokenText = !stringSupplied || hasBreaks;\n            d.mayHaveMarkup = stringSupplied && userSuppliedContent.match(/[<&>]/);\n\n            var latex = isLatex(userSuppliedContent);\n            d.latex = latex;\n\n            var prefix = latex ? '' : gridPick(d.calcdata.cells.prefix, col, row) || '';\n            var suffix = latex ? '' : gridPick(d.calcdata.cells.suffix, col, row) || '';\n            var format = latex ? null : gridPick(d.calcdata.cells.format, col, row) || null;\n\n            var prefixSuffixedText = prefix + (format ? d3.format(format)(d.value) : d.value) + suffix;\n\n            var hasWrapSplitCharacter;\n            d.wrappingNeeded = !d.wrapped && !userBrokenText && !latex && (hasWrapSplitCharacter = hasWrapCharacter(prefixSuffixedText));\n            d.cellHeightMayIncrease = hasBreaks || latex || d.mayHaveMarkup || (hasWrapSplitCharacter === void(0) ? hasWrapCharacter(prefixSuffixedText) : hasWrapSplitCharacter);\n            d.needsConvertToTspans = d.mayHaveMarkup || d.wrappingNeeded || d.latex;\n\n            var textToRender;\n            if(d.wrappingNeeded) {\n                var hrefPreservedText = c.wrapSplitCharacter === ' ' ? prefixSuffixedText.replace(/<a href=/ig, '<a_href=') : prefixSuffixedText;\n                var fragments = hrefPreservedText.split(c.wrapSplitCharacter);\n                var hrefRestoredFragments = c.wrapSplitCharacter === ' ' ? fragments.map(function(frag) {return frag.replace(/<a_href=/ig, '<a href=');}) : fragments;\n                d.fragments = hrefRestoredFragments.map(function(f) {return {text: f, width: null};});\n                d.fragments.push({fragment: c.wrapSpacer, width: null});\n                textToRender = hrefRestoredFragments.join(c.lineBreaker) + c.lineBreaker + c.wrapSpacer;\n            } else {\n                delete d.fragments;\n                textToRender = prefixSuffixedText;\n            }\n\n            return textToRender;\n        })\n        .attr('dy', function(d) {\n            return d.needsConvertToTspans ? 0 : '0.75em';\n        })\n        .each(function(d) {\n\n            var element = this;\n            var selection = d3.select(element);\n\n            // finalize what's in the DOM\n\n            var renderCallback = d.wrappingNeeded ? wrapTextMaker : updateYPositionMaker;\n            if(d.needsConvertToTspans) {\n                svgUtil.convertToTspans(selection, gd, renderCallback(allColumnBlock, element, tableControlView, gd, d));\n            } else {\n                d3.select(element.parentNode)\n                    // basic cell adjustment - compliance with `cellPad`\n                    .attr('transform', function(d) {return 'translate(' + xPosition(d) + ' ' + c.cellPad + ')';})\n                    .attr('text-anchor', function(d) {\n                        return ({\n                            left: 'start',\n                            center: 'middle',\n                            right: 'end'\n                        })[d.align];\n                    });\n            }\n        });\n}\n\nfunction isLatex(content) {\n    return typeof content === 'string' && content.match(c.latexCheck);\n}\n\nfunction hasWrapCharacter(text) {return text.indexOf(c.wrapSplitCharacter) !== -1;}\n\nfunction columnMoved(gd, calcdata, indices) {\n    var o = calcdata.gdColumnsOriginalOrder;\n    calcdata.gdColumns.sort(function(a, b) {\n        return indices[o.indexOf(a)] - indices[o.indexOf(b)];\n    });\n\n    calcdata.columnorder = indices;\n\n    gd.emit('plotly_restyle');\n}\n\nfunction gridPick(spec, col, row) {\n    if(Array.isArray(spec)) {\n        var column = spec[Math.min(col, spec.length - 1)];\n        if(Array.isArray(column)) {\n            return column[Math.min(row, column.length - 1)];\n        } else {\n            return column;\n        }\n    } else {\n        return spec;\n    }\n}\n\nfunction easeColumn(selection, d, y) {\n    selection\n        .transition()\n        .ease(c.releaseTransitionEase)\n        .duration(c.releaseTransitionDuration)\n        .attr('transform', 'translate(' + d.x + ' ' + y + ')');\n}\n\nfunction cellsBlock(d) {return d.type === 'cells';}\nfunction headerBlock(d) {return d.type === 'header';}\n\n/**\n * Revolver panel and cell contents layouting\n */\n\nfunction headerHeight(d) {\n    var headerBlocks = d.rowBlocks.length ? d.rowBlocks[0].auxiliaryBlocks : [];\n    return headerBlocks.reduce(function(p, n) {return p + rowsHeight(n, Infinity);}, 0);\n}\n\nfunction findPagesAndCacheHeights(blocks, scrollY, scrollHeight) {\n\n    var pages = [];\n    var pTop = 0;\n\n    for(var blockIndex = 0; blockIndex < blocks.length; blockIndex++) {\n\n        var block = blocks[blockIndex];\n        var blockRows = block.rows;\n        var rowsHeight = 0;\n        for(var i = 0; i < blockRows.length; i++) {\n            rowsHeight += blockRows[i].rowHeight;\n        }\n\n        // caching allRowsHeight on the block - it's safe as this function is always called from within the code part\n        // that handles increases to row heights\n        block.allRowsHeight = rowsHeight;\n\n        var pBottom = pTop + rowsHeight;\n        var windowTop = scrollY;\n        var windowBottom = windowTop + scrollHeight;\n        if(windowTop < pBottom && windowBottom > pTop) {\n            pages.push(blockIndex);\n        }\n        pTop += rowsHeight;\n\n        // consider this nice final optimization; put it in `for` condition - caveat, currently the\n        // block.allRowsHeight relies on being invalidated, so enabling this opt may not be safe\n        // if(pages.length > 1) break;\n    }\n\n    return pages;\n}\n\nfunction updateBlockYPosition(gd, cellsColumnBlock, tableControlView) {\n    var d = flatData(cellsColumnBlock)[0];\n    if(d === undefined) return;\n    var blocks = d.rowBlocks;\n    var calcdata = d.calcdata;\n\n    var bottom = firstRowAnchor(blocks, blocks.length);\n    var scrollHeight = d.calcdata.groupHeight - headerHeight(d);\n    var scrollY = calcdata.scrollY = Math.max(0, Math.min(bottom - scrollHeight, calcdata.scrollY));\n\n    var pages = findPagesAndCacheHeights(blocks, scrollY, scrollHeight);\n    if(pages.length === 1) {\n        if(pages[0] === blocks.length - 1) {\n            pages.unshift(pages[0] - 1);\n        } else {\n            pages.push(pages[0] + 1);\n        }\n    }\n\n    // make phased out page jump by 2 while leaving stationary page intact\n    if(pages[0] % 2) {\n        pages.reverse();\n    }\n\n    cellsColumnBlock\n        .each(function(d, i) {\n            // these values will also be needed when a block is translated again due to growing cell height\n            d.page = pages[i];\n            d.scrollY = scrollY;\n        });\n\n    cellsColumnBlock\n        .attr('transform', function(d) {\n            var yTranslate = firstRowAnchor(d.rowBlocks, d.page) - d.scrollY;\n            return 'translate(0 ' + yTranslate + ')';\n        });\n\n    // conditionally rerendering panel 0 and 1\n    if(gd) {\n        conditionalPanelRerender(gd, tableControlView, cellsColumnBlock, pages, d.prevPages, d, 0);\n        conditionalPanelRerender(gd, tableControlView, cellsColumnBlock, pages, d.prevPages, d, 1);\n        renderScrollbarKit(tableControlView, gd);\n    }\n}\n\nfunction makeDragRow(gd, allTableControlView, optionalMultiplier, optionalPosition) {\n    return function dragRow(eventD) {\n        // may come from whicever DOM event target: drag, wheel, bar... eventD corresponds to event target\n        var d = eventD.calcdata ? eventD.calcdata : eventD;\n        var tableControlView = allTableControlView.filter(function(dd) {return d.key === dd.key;});\n        var multiplier = optionalMultiplier || d.scrollbarState.dragMultiplier;\n        d.scrollY = optionalPosition === void(0) ? d.scrollY + multiplier * d3.event.dy : optionalPosition;\n        var cellsColumnBlock = tableControlView.selectAll('.' + c.cn.yColumn).selectAll('.' + c.cn.columnBlock).filter(cellsBlock);\n        updateBlockYPosition(gd, cellsColumnBlock, tableControlView);\n    };\n}\n\nfunction conditionalPanelRerender(gd, tableControlView, cellsColumnBlock, pages, prevPages, d, revolverIndex) {\n    var shouldComponentUpdate = pages[revolverIndex] !== prevPages[revolverIndex];\n    if(shouldComponentUpdate) {\n        clearTimeout(d.currentRepaint[revolverIndex]);\n        d.currentRepaint[revolverIndex] = setTimeout(function() {\n            // setTimeout might lag rendering but yields a smoother scroll, because fast scrolling makes\n            // some repaints invisible ie. wasteful (DOM work blocks the main thread)\n            var toRerender = cellsColumnBlock.filter(function(d, i) {return i === revolverIndex && pages[i] !== prevPages[i];});\n            renderColumnCellTree(gd, tableControlView, toRerender, cellsColumnBlock);\n            prevPages[revolverIndex] = pages[revolverIndex];\n        });\n    }\n}\n\nfunction wrapTextMaker(columnBlock, element, tableControlView) {\n    return function wrapText() {\n        var cellTextHolder = d3.select(element.parentNode);\n        cellTextHolder\n            .each(function(d) {\n                var fragments = d.fragments;\n                cellTextHolder.selectAll('tspan.line').each(function(dd, i) {\n                    fragments[i].width = this.getComputedTextLength();\n                });\n                // last element is only for measuring the separator character, so it's ignored:\n                var separatorLength = fragments[fragments.length - 1].width;\n                var rest = fragments.slice(0, -1);\n                var currentRow = [];\n                var currentAddition, currentAdditionLength;\n                var currentRowLength = 0;\n                var rowLengthLimit = d.column.columnWidth - 2 * c.cellPad;\n                d.value = '';\n                while(rest.length) {\n                    currentAddition = rest.shift();\n                    currentAdditionLength = currentAddition.width + separatorLength;\n                    if(currentRowLength + currentAdditionLength > rowLengthLimit) {\n                        d.value += currentRow.join(c.wrapSpacer) + c.lineBreaker;\n                        currentRow = [];\n                        currentRowLength = 0;\n                    }\n                    currentRow.push(currentAddition.text);\n                    currentRowLength += currentAdditionLength;\n                }\n                if(currentRowLength) {\n                    d.value += currentRow.join(c.wrapSpacer);\n                }\n                d.wrapped = true;\n            });\n\n        // the pre-wrapped text was rendered only for the text measurements\n        cellTextHolder.selectAll('tspan.line').remove();\n\n        // resupply text, now wrapped\n        populateCellText(cellTextHolder.select('.' + c.cn.cellText), tableControlView, columnBlock);\n        d3.select(element.parentNode.parentNode).call(setCellHeightAndPositionY);\n    };\n}\n\nfunction updateYPositionMaker(columnBlock, element, tableControlView, gd, d) {\n    return function updateYPosition() {\n        if(d.settledY) return;\n        var cellTextHolder = d3.select(element.parentNode);\n        var l = getBlock(d);\n        var rowIndex = d.key - l.firstRowIndex;\n\n        var declaredRowHeight = l.rows[rowIndex].rowHeight;\n\n        var requiredHeight = d.cellHeightMayIncrease ? element.parentNode.getBoundingClientRect().height + 2 * c.cellPad : declaredRowHeight;\n\n        var finalHeight = Math.max(requiredHeight, declaredRowHeight);\n        var increase = finalHeight - l.rows[rowIndex].rowHeight;\n\n        if(increase) {\n\n            // current row height increased\n            l.rows[rowIndex].rowHeight = finalHeight;\n\n            columnBlock\n                .selectAll('.' + c.cn.columnCell)\n                .call(setCellHeightAndPositionY);\n\n            updateBlockYPosition(null, columnBlock.filter(cellsBlock), 0);\n\n            // if d.column.type === 'header', then the scrollbar has to be pushed downward to the scrollable area\n            // if d.column.type === 'cells', it can still be relevant if total scrolling content height is less than the\n            //                               scrollable window, as increases to row heights may need scrollbar updates\n            renderScrollbarKit(tableControlView, gd, true);\n        }\n\n        cellTextHolder\n            .attr('transform', function() {\n                // this code block is only invoked for items where d.cellHeightMayIncrease is truthy\n                var element = this;\n                var columnCellElement = element.parentNode;\n                var box = columnCellElement.getBoundingClientRect();\n                var rectBox = d3.select(element.parentNode).select('.' + c.cn.cellRect).node().getBoundingClientRect();\n                var currentTransform = element.transform.baseVal.consolidate();\n                var yPosition = rectBox.top - box.top + (currentTransform ? currentTransform.matrix.f : c.cellPad);\n                return 'translate(' + xPosition(d, d3.select(element.parentNode).select('.' + c.cn.cellTextHolder).node().getBoundingClientRect().width) + ' ' + yPosition + ')';\n            });\n\n        d.settledY = true;\n    };\n}\n\nfunction xPosition(d, optionalWidth) {\n    switch(d.align) {\n        case 'left': return c.cellPad;\n        case 'right': return d.column.columnWidth - (optionalWidth || 0) - c.cellPad;\n        case 'center': return (d.column.columnWidth - (optionalWidth || 0)) / 2;\n        default: return c.cellPad;\n    }\n}\n\nfunction setCellHeightAndPositionY(columnCell) {\n    columnCell\n        .attr('transform', function(d) {\n            var headerHeight = d.rowBlocks[0].auxiliaryBlocks.reduce(function(p, n) {return p + rowsHeight(n, Infinity);}, 0);\n            var l = getBlock(d);\n            var rowAnchor = rowsHeight(l, d.key);\n            var yOffset = rowAnchor + headerHeight;\n            return 'translate(0 ' + yOffset + ')';\n        })\n        .selectAll('.' + c.cn.cellRect)\n        .attr('height', function(d) {return getRow(getBlock(d), d.key).rowHeight;});\n}\n\nfunction firstRowAnchor(blocks, page) {\n    var total = 0;\n    for(var i = page - 1; i >= 0; i--) {\n        total += allRowsHeight(blocks[i]);\n    }\n    return total;\n}\n\nfunction rowsHeight(rowBlock, key) {\n    var total = 0;\n    for(var i = 0; i < rowBlock.rows.length && rowBlock.rows[i].rowIndex < key; i++) {\n        total += rowBlock.rows[i].rowHeight;\n    }\n    return total;\n}\n\nfunction allRowsHeight(rowBlock) {\n    var cached = rowBlock.allRowsHeight;\n\n    if(cached !== void(0)) {\n        return cached;\n    }\n\n    var total = 0;\n    for(var i = 0; i < rowBlock.rows.length; i++) {\n        total += rowBlock.rows[i].rowHeight;\n    }\n    rowBlock.allRowsHeight = total;\n\n    return total;\n}\n\nfunction getBlock(d) {return d.rowBlocks[d.page];}\nfunction getRow(l, i) {return l.rows[i - l.firstRowIndex];}\n\n},{\"../../components/color\":570,\"../../components/drawing\":595,\"../../lib\":696,\"../../lib/gup\":693,\"../../lib/svg_text_utils\":721,\"./constants\":1139,\"./data_preparation_helper\":1140,\"./data_split_helpers\":1141,\"d3\":148}],1145:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar boxAttrs = _dereq_('../box/attributes');\nvar extendFlat = _dereq_('../../lib/extend').extendFlat;\n\nmodule.exports = {\n    y: boxAttrs.y,\n    x: boxAttrs.x,\n    x0: boxAttrs.x0,\n    y0: boxAttrs.y0,\n    name: boxAttrs.name,\n    orientation: extendFlat({}, boxAttrs.orientation, {\n        \n    }),\n\n    bandwidth: {\n        valType: 'number',\n        min: 0,\n        \n        editType: 'calc',\n        \n    },\n\n    scalegroup: {\n        valType: 'string',\n        \n        dflt: '',\n        editType: 'calc',\n        \n    },\n    scalemode: {\n        valType: 'enumerated',\n        values: ['width', 'count'],\n        dflt: 'width',\n        \n        editType: 'calc',\n        \n    },\n\n    spanmode: {\n        valType: 'enumerated',\n        values: ['soft', 'hard', 'manual'],\n        dflt: 'soft',\n        \n        editType: 'calc',\n        \n    },\n    span: {\n        valType: 'info_array',\n        items: [\n            {valType: 'any', editType: 'calc'},\n            {valType: 'any', editType: 'calc'}\n        ],\n        \n        editType: 'calc',\n        \n    },\n\n    line: {\n        color: {\n            valType: 'color',\n            \n            editType: 'style',\n            \n        },\n        width: {\n            valType: 'number',\n            \n            min: 0,\n            dflt: 2,\n            editType: 'style',\n            \n        },\n        editType: 'plot'\n    },\n    fillcolor: boxAttrs.fillcolor,\n\n    points: extendFlat({}, boxAttrs.boxpoints, {\n        \n    }),\n    jitter: extendFlat({}, boxAttrs.jitter, {\n        \n    }),\n    pointpos: extendFlat({}, boxAttrs.pointpos, {\n        \n    }),\n    marker: boxAttrs.marker,\n    text: boxAttrs.text,\n\n    box: {\n        visible: {\n            valType: 'boolean',\n            dflt: false,\n            \n            editType: 'plot',\n            \n        },\n        width: {\n            valType: 'number',\n            min: 0,\n            max: 1,\n            dflt: 0.25,\n            \n            editType: 'plot',\n            \n        },\n        fillcolor: {\n            valType: 'color',\n            \n            editType: 'style',\n            \n        },\n        line: {\n            color: {\n                valType: 'color',\n                \n                editType: 'style',\n                \n            },\n            width: {\n                valType: 'number',\n                min: 0,\n                \n                editType: 'style',\n                \n            },\n            editType: 'style'\n        },\n        editType: 'plot'\n    },\n\n    meanline: {\n        visible: {\n            valType: 'boolean',\n            dflt: false,\n            \n            editType: 'plot',\n            \n        },\n        color: {\n            valType: 'color',\n            \n            editType: 'style',\n            \n        },\n        width: {\n            valType: 'number',\n            min: 0,\n            \n            editType: 'style',\n            \n        },\n        editType: 'plot'\n    },\n\n    side: {\n        valType: 'enumerated',\n        values: ['both', 'positive', 'negative'],\n        dflt: 'both',\n        \n        editType: 'plot',\n        \n    },\n\n    selected: boxAttrs.selected,\n    unselected: boxAttrs.unselected,\n\n    hoveron: {\n        valType: 'flaglist',\n        flags: ['violins', 'points', 'kde'],\n        dflt: 'violins+points+kde',\n        extras: ['all'],\n        \n        editType: 'style',\n        \n    }\n};\n\n},{\"../../lib/extend\":685,\"../box/attributes\":860}],1146:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar boxCalc = _dereq_('../box/calc');\nvar helpers = _dereq_('./helpers');\nvar BADNUM = _dereq_('../../constants/numerical').BADNUM;\n\nmodule.exports = function calc(gd, trace) {\n    var cd = boxCalc(gd, trace);\n\n    if(cd[0].t.empty) return cd;\n\n    var fullLayout = gd._fullLayout;\n    var valAxis = Axes.getFromId(\n        gd,\n        trace[trace.orientation === 'h' ? 'xaxis' : 'yaxis']\n    );\n\n    var violinScaleGroupStats = fullLayout._violinScaleGroupStats;\n    var scaleGroup = trace.scalegroup;\n    var groupStats = violinScaleGroupStats[scaleGroup];\n    if(!groupStats) {\n        groupStats = violinScaleGroupStats[scaleGroup] = {\n            maxWidth: 0,\n            maxCount: 0\n        };\n    }\n\n    var spanMin = Infinity;\n    var spanMax = -Infinity;\n\n    for(var i = 0; i < cd.length; i++) {\n        var cdi = cd[i];\n        var vals = cdi.pts.map(helpers.extractVal);\n\n        var bandwidth = cdi.bandwidth = calcBandwidth(trace, cdi, vals);\n        var span = cdi.span = calcSpan(trace, cdi, valAxis, bandwidth);\n\n        // step that well covers the bandwidth and is multiple of span distance\n        var dist = span[1] - span[0];\n        var n = Math.ceil(dist / (bandwidth / 3));\n        var step = dist / n;\n\n        if(!isFinite(step) || !isFinite(n)) {\n            Lib.error('Something went wrong with computing the violin span');\n            cd[0].t.empty = true;\n            return cd;\n        }\n\n        var kde = helpers.makeKDE(cdi, trace, vals);\n        cdi.density = new Array(n);\n\n        for(var k = 0, t = span[0]; t < (span[1] + step / 2); k++, t += step) {\n            var v = kde(t);\n            groupStats.maxWidth = Math.max(groupStats.maxWidth, v);\n            cdi.density[k] = {v: v, t: t};\n        }\n\n        groupStats.maxCount = Math.max(groupStats.maxCount, vals.length);\n\n        spanMin = Math.min(spanMin, span[0]);\n        spanMax = Math.max(spanMax, span[1]);\n    }\n\n    var extremes = Axes.findExtremes(valAxis, [spanMin, spanMax], {padded: true});\n    trace._extremes[valAxis._id] = extremes;\n\n    cd[0].t.labels.kde = Lib._(gd, 'kde:');\n\n    return cd;\n};\n\n// Default to Silveman's rule of thumb\n// - https://stats.stackexchange.com/a/6671\n// - https://en.wikipedia.org/wiki/Kernel_density_estimation#A_rule-of-thumb_bandwidth_estimator\n// - https://github.com/statsmodels/statsmodels/blob/master/statsmodels/nonparametric/bandwidths.py\nfunction silvermanRule(len, ssd, iqr) {\n    var a = Math.min(ssd, iqr / 1.349);\n    return 1.059 * a * Math.pow(len, -0.2);\n}\n\nfunction calcBandwidth(trace, cdi, vals) {\n    var span = cdi.max - cdi.min;\n\n    // plot single-value violin with bandwidth of 1\n    if(!span) return 1;\n\n    // Limit how small the bandwidth can be.\n    //\n    // Silverman's rule of thumb can be \"very\" small\n    // when IQR does a poor job at describing the spread\n    // of the distribution.\n    // We also want to limit custom bandwidths\n    // to not blow up kde computations.\n\n    if(trace.bandwidth) {\n        return Math.max(trace.bandwidth, span / 1e4);\n    } else {\n        var len = vals.length;\n        var ssd = Lib.stdev(vals, len - 1, cdi.mean);\n        return Math.max(\n            silvermanRule(len, ssd, cdi.q3 - cdi.q1),\n            span / 100\n        );\n    }\n}\n\nfunction calcSpan(trace, cdi, valAxis, bandwidth) {\n    var spanmode = trace.spanmode;\n    var spanIn = trace.span || [];\n    var spanTight = [cdi.min, cdi.max];\n    var spanLoose = [cdi.min - 2 * bandwidth, cdi.max + 2 * bandwidth];\n    var spanOut;\n\n    function calcSpanItem(index) {\n        var s = spanIn[index];\n        var sc = valAxis.d2c(s, 0, trace[cdi.valLetter + 'calendar']);\n        return sc === BADNUM ? spanLoose[index] : sc;\n    }\n\n    if(spanmode === 'soft') {\n        spanOut = spanLoose;\n    } else if(spanmode === 'hard') {\n        spanOut = spanTight;\n    } else {\n        spanOut = [calcSpanItem(0), calcSpanItem(1)];\n    }\n\n    // to reuse the equal-range-item block\n    var dummyAx = {\n        type: 'linear',\n        range: spanOut\n    };\n    Axes.setConvert(dummyAx);\n    dummyAx.cleanRange();\n\n    return spanOut;\n}\n\n},{\"../../constants/numerical\":673,\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../box/calc\":861,\"./helpers\":1149}],1147:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar setPositionOffset = _dereq_('../box/cross_trace_calc').setPositionOffset;\nvar orientations = ['v', 'h'];\n\nmodule.exports = function crossTraceCalc(gd, plotinfo) {\n    var calcdata = gd.calcdata;\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n\n    for(var i = 0; i < orientations.length; i++) {\n        var orientation = orientations[i];\n        var posAxis = orientation === 'h' ? ya : xa;\n        var violinList = [];\n        var minPad = 0;\n        var maxPad = 0;\n\n        for(var j = 0; j < calcdata.length; j++) {\n            var cd = calcdata[j];\n            var t = cd[0].t;\n            var trace = cd[0].trace;\n\n            if(trace.visible === true && trace.type === 'violin' &&\n                    !t.empty &&\n                    trace.orientation === orientation &&\n                    trace.xaxis === xa._id &&\n                    trace.yaxis === ya._id\n              ) {\n                violinList.push(j);\n\n                if(trace.points !== false) {\n                    minPad = Math.max(minPad, trace.jitter - trace.pointpos - 1);\n                    maxPad = Math.max(maxPad, trace.jitter + trace.pointpos - 1);\n                }\n            }\n        }\n\n        setPositionOffset('violin', gd, violinList, posAxis, [minPad, maxPad]);\n    }\n};\n\n},{\"../box/cross_trace_calc\":862}],1148:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Color = _dereq_('../../components/color');\n\nvar boxDefaults = _dereq_('../box/defaults');\nvar attributes = _dereq_('./attributes');\n\nmodule.exports = function supplyDefaults(traceIn, traceOut, defaultColor, layout) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(traceIn, traceOut, attributes, attr, dflt);\n    }\n    function coerce2(attr, dflt) {\n        return Lib.coerce2(traceIn, traceOut, attributes, attr, dflt);\n    }\n\n    boxDefaults.handleSampleDefaults(traceIn, traceOut, coerce, layout);\n    if(traceOut.visible === false) return;\n\n    coerce('bandwidth');\n    coerce('scalegroup', traceOut.name);\n    coerce('scalemode');\n    coerce('side');\n\n    var span = coerce('span');\n    var spanmodeDflt;\n    if(Array.isArray(span)) spanmodeDflt = 'manual';\n    coerce('spanmode', spanmodeDflt);\n\n    var lineColor = coerce('line.color', (traceIn.marker || {}).color || defaultColor);\n    var lineWidth = coerce('line.width');\n    var fillColor = coerce('fillcolor', Color.addOpacity(traceOut.line.color, 0.5));\n\n    boxDefaults.handlePointsDefaults(traceIn, traceOut, coerce, {prefix: ''});\n\n    var boxWidth = coerce2('box.width');\n    var boxFillColor = coerce2('box.fillcolor', fillColor);\n    var boxLineColor = coerce2('box.line.color', lineColor);\n    var boxLineWidth = coerce2('box.line.width', lineWidth);\n    var boxVisible = coerce('box.visible', Boolean(boxWidth || boxFillColor || boxLineColor || boxLineWidth));\n    if(!boxVisible) traceOut.box = {visible: false};\n\n    var meanLineColor = coerce2('meanline.color', lineColor);\n    var meanLineWidth = coerce2('meanline.width', lineWidth);\n    var meanLineVisible = coerce('meanline.visible', Boolean(meanLineColor || meanLineWidth));\n    if(!meanLineVisible) traceOut.meanline = {visible: false};\n};\n\n},{\"../../components/color\":570,\"../../lib\":696,\"../box/defaults\":863,\"./attributes\":1145}],1149:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\n\n// Maybe add kernels more down the road,\n// but note that the default `spanmode: 'soft'` bounds might have\n// to become kernel-dependent\nvar kernels = {\n    gaussian: function(v) {\n        return (1 / Math.sqrt(2 * Math.PI)) * Math.exp(-0.5 * v * v);\n    }\n};\n\nexports.makeKDE = function(calcItem, trace, vals) {\n    var len = vals.length;\n    var kernel = kernels.gaussian;\n    var bandwidth = calcItem.bandwidth;\n    var factor = 1 / (len * bandwidth);\n\n    // don't use Lib.aggNums to skip isNumeric checks\n    return function(x) {\n        var sum = 0;\n        for(var i = 0; i < len; i++) {\n            sum += kernel((x - vals[i]) / bandwidth);\n        }\n        return factor * sum;\n    };\n};\n\nexports.getPositionOnKdePath = function(calcItem, trace, valuePx) {\n    var posLetter, valLetter;\n\n    if(trace.orientation === 'h') {\n        posLetter = 'y';\n        valLetter = 'x';\n    } else {\n        posLetter = 'x';\n        valLetter = 'y';\n    }\n\n    var pointOnPath = Lib.findPointOnPath(\n        calcItem.path,\n        valuePx,\n        valLetter,\n        {pathLength: calcItem.pathLength}\n    );\n\n    var posCenterPx = calcItem.posCenterPx;\n    var posOnPath0 = pointOnPath[posLetter];\n    var posOnPath1 = trace.side === 'both' ?\n        2 * posCenterPx - posOnPath0 :\n        posCenterPx;\n\n    return [posOnPath0, posOnPath1];\n};\n\nexports.getKdeValue = function(calcItem, trace, valueDist) {\n    var vals = calcItem.pts.map(exports.extractVal);\n    var kde = exports.makeKDE(calcItem, trace, vals);\n    return kde(valueDist) / calcItem.posDensityScale;\n};\n\nexports.extractVal = function(o) { return o.v; };\n\n},{\"../../lib\":696}],1150:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar Axes = _dereq_('../../plots/cartesian/axes');\nvar boxHoverPoints = _dereq_('../box/hover');\nvar helpers = _dereq_('./helpers');\n\nmodule.exports = function hoverPoints(pointData, xval, yval, hovermode, hoverLayer) {\n    var cd = pointData.cd;\n    var trace = cd[0].trace;\n    var hoveron = trace.hoveron;\n    var hasHoveronViolins = hoveron.indexOf('violins') !== -1;\n    var hasHoveronKDE = hoveron.indexOf('kde') !== -1;\n    var closeData = [];\n    var closePtData;\n    var violinLineAttrs;\n\n    if(hasHoveronViolins || hasHoveronKDE) {\n        var closeBoxData = boxHoverPoints.hoverOnBoxes(pointData, xval, yval, hovermode);\n\n        if(hasHoveronViolins) {\n            closeData = closeData.concat(closeBoxData);\n        }\n\n        if(hasHoveronKDE && closeBoxData.length > 0) {\n            var xa = pointData.xa;\n            var ya = pointData.ya;\n            var pLetter, vLetter, pAxis, vAxis, vVal;\n\n            if(trace.orientation === 'h') {\n                vVal = xval;\n                pLetter = 'y';\n                pAxis = ya;\n                vLetter = 'x';\n                vAxis = xa;\n            } else {\n                vVal = yval;\n                pLetter = 'x';\n                pAxis = xa;\n                vLetter = 'y';\n                vAxis = ya;\n            }\n\n            var di = cd[pointData.index];\n\n            if(vVal >= di.span[0] && vVal <= di.span[1]) {\n                var kdePointData = Lib.extendFlat({}, pointData);\n                var vValPx = vAxis.c2p(vVal, true);\n                var kdeVal = helpers.getKdeValue(di, trace, vVal);\n                var pOnPath = helpers.getPositionOnKdePath(di, trace, vValPx);\n                var paOffset = pAxis._offset;\n                var paLength = pAxis._length;\n\n                kdePointData[pLetter + '0'] = pOnPath[0];\n                kdePointData[pLetter + '1'] = pOnPath[1];\n                kdePointData[vLetter + '0'] = kdePointData[vLetter + '1'] = vValPx;\n                kdePointData[vLetter + 'Label'] = vLetter + ': ' + Axes.hoverLabelText(vAxis, vVal) + ', ' + cd[0].t.labels.kde + ' ' + kdeVal.toFixed(3);\n\n                // move the spike to the KDE point\n                kdePointData.spikeDistance = closeBoxData[0].spikeDistance;\n                var spikePosAttr = pLetter + 'Spike';\n                kdePointData[spikePosAttr] = closeBoxData[0][spikePosAttr];\n                closeBoxData[0].spikeDistance = undefined;\n                closeBoxData[0][spikePosAttr] = undefined;\n\n                closeData.push(kdePointData);\n\n                violinLineAttrs = {stroke: pointData.color};\n                violinLineAttrs[pLetter + '1'] = Lib.constrain(paOffset + pOnPath[0], paOffset, paOffset + paLength);\n                violinLineAttrs[pLetter + '2'] = Lib.constrain(paOffset + pOnPath[1], paOffset, paOffset + paLength);\n                violinLineAttrs[vLetter + '1'] = violinLineAttrs[vLetter + '2'] = vAxis._offset + vValPx;\n            }\n        }\n    }\n\n    if(hoveron.indexOf('points') !== -1) {\n        closePtData = boxHoverPoints.hoverOnPoints(pointData, xval, yval);\n    }\n\n    // update violin line (if any)\n    var violinLine = hoverLayer.selectAll('.violinline-' + trace.uid)\n        .data(violinLineAttrs ? [0] : []);\n    violinLine.enter().append('line')\n        .classed('violinline-' + trace.uid, true)\n        .attr('stroke-width', 1.5);\n    violinLine.exit().remove();\n    violinLine.attr(violinLineAttrs);\n\n    // same combine logic as box hoverPoints\n    if(hovermode === 'closest') {\n        if(closePtData) return [closePtData];\n        return closeData;\n    }\n    if(closePtData) {\n        closeData.push(closePtData);\n        return closeData;\n    }\n    return closeData;\n};\n\n},{\"../../lib\":696,\"../../plots/cartesian/axes\":745,\"../box/hover\":865,\"./helpers\":1149}],1151:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nmodule.exports = {\n    attributes: _dereq_('./attributes'),\n    layoutAttributes: _dereq_('./layout_attributes'),\n    supplyDefaults: _dereq_('./defaults'),\n    supplyLayoutDefaults: _dereq_('./layout_defaults'),\n    calc: _dereq_('./calc'),\n    crossTraceCalc: _dereq_('./cross_trace_calc'),\n    plot: _dereq_('./plot'),\n    style: _dereq_('./style'),\n    styleOnSelect: _dereq_('../scatter/style').styleOnSelect,\n    hoverPoints: _dereq_('./hover'),\n    selectPoints: _dereq_('../box/select'),\n\n    moduleType: 'trace',\n    name: 'violin',\n    basePlotModule: _dereq_('../../plots/cartesian'),\n    categories: ['cartesian', 'svg', 'symbols', 'oriented', 'box-violin', 'showLegend', 'violinLayout', 'zoomScale'],\n    meta: {\n        \n    }\n};\n\n},{\"../../plots/cartesian\":757,\"../box/select\":870,\"../scatter/style\":1067,\"./attributes\":1145,\"./calc\":1146,\"./cross_trace_calc\":1147,\"./defaults\":1148,\"./hover\":1150,\"./layout_attributes\":1152,\"./layout_defaults\":1153,\"./plot\":1154,\"./style\":1155}],1152:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar boxLayoutAttrs = _dereq_('../box/layout_attributes');\nvar extendFlat = _dereq_('../../lib').extendFlat;\n\nmodule.exports = {\n    violinmode: extendFlat({}, boxLayoutAttrs.boxmode, {\n        \n    }),\n    violingap: extendFlat({}, boxLayoutAttrs.boxgap, {\n        \n    }),\n    violingroupgap: extendFlat({}, boxLayoutAttrs.boxgroupgap, {\n        \n    })\n};\n\n},{\"../../lib\":696,\"../box/layout_attributes\":867}],1153:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../../lib');\nvar layoutAttributes = _dereq_('./layout_attributes');\nvar boxLayoutDefaults = _dereq_('../box/layout_defaults');\n\nmodule.exports = function supplyLayoutDefaults(layoutIn, layoutOut, fullData) {\n    function coerce(attr, dflt) {\n        return Lib.coerce(layoutIn, layoutOut, layoutAttributes, attr, dflt);\n    }\n    boxLayoutDefaults._supply(layoutIn, layoutOut, fullData, coerce, 'violin');\n};\n\n},{\"../../lib\":696,\"../box/layout_defaults\":868,\"./layout_attributes\":1152}],1154:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Lib = _dereq_('../../lib');\nvar Drawing = _dereq_('../../components/drawing');\n\nvar boxPlot = _dereq_('../box/plot');\nvar linePoints = _dereq_('../scatter/line_points');\nvar helpers = _dereq_('./helpers');\n\nmodule.exports = function plot(gd, plotinfo, cdViolins, violinLayer) {\n    var fullLayout = gd._fullLayout;\n    var xa = plotinfo.xaxis;\n    var ya = plotinfo.yaxis;\n\n    function makePath(pts) {\n        var segments = linePoints(pts, {\n            xaxis: xa,\n            yaxis: ya,\n            connectGaps: true,\n            baseTolerance: 0.75,\n            shape: 'spline',\n            simplify: true\n        });\n        return Drawing.smoothopen(segments[0], 1);\n    }\n\n    Lib.makeTraceGroups(violinLayer, cdViolins, 'trace violins').each(function(cd) {\n        var plotGroup = d3.select(this);\n        var cd0 = cd[0];\n        var t = cd0.t;\n        var trace = cd0.trace;\n        if(!plotinfo.isRangePlot) cd0.node3 = plotGroup;\n        var numViolins = fullLayout._numViolins;\n        var group = (fullLayout.violinmode === 'group' && numViolins > 1);\n        var groupFraction = 1 - fullLayout.violingap;\n        // violin max half width\n        var bdPos = t.bdPos = t.dPos * groupFraction * (1 - fullLayout.violingroupgap) / (group ? numViolins : 1);\n        // violin center offset\n        var bPos = t.bPos = group ? 2 * t.dPos * (-0.5 + (t.num + 0.5) / numViolins) * groupFraction : 0;\n        // half-width within which to accept hover for this violin\n        // always split the distance to the closest violin\n        t.wHover = t.dPos * (group ? groupFraction / numViolins : 1);\n\n        if(trace.visible !== true || t.empty) {\n            plotGroup.remove();\n            return;\n        }\n\n        var valAxis = plotinfo[t.valLetter + 'axis'];\n        var posAxis = plotinfo[t.posLetter + 'axis'];\n        var hasBothSides = trace.side === 'both';\n        var hasPositiveSide = hasBothSides || trace.side === 'positive';\n        var hasNegativeSide = hasBothSides || trace.side === 'negative';\n        var groupStats = fullLayout._violinScaleGroupStats[trace.scalegroup];\n\n        var violins = plotGroup.selectAll('path.violin').data(Lib.identity);\n\n        violins.enter().append('path')\n            .style('vector-effect', 'non-scaling-stroke')\n            .attr('class', 'violin');\n\n        violins.exit().remove();\n\n        violins.each(function(d) {\n            var pathSel = d3.select(this);\n            var density = d.density;\n            var len = density.length;\n            var posCenter = d.pos + bPos;\n            var posCenterPx = posAxis.c2p(posCenter);\n            var scale;\n\n            switch(trace.scalemode) {\n                case 'width':\n                    scale = groupStats.maxWidth / bdPos;\n                    break;\n                case 'count':\n                    scale = (groupStats.maxWidth / bdPos) * (groupStats.maxCount / d.pts.length);\n                    break;\n            }\n\n            var pathPos, pathNeg, path;\n            var i, k, pts, pt;\n\n            if(hasPositiveSide) {\n                pts = new Array(len);\n                for(i = 0; i < len; i++) {\n                    pt = pts[i] = {};\n                    pt[t.posLetter] = posCenter + (density[i].v / scale);\n                    pt[t.valLetter] = density[i].t;\n                }\n                pathPos = makePath(pts);\n            }\n\n            if(hasNegativeSide) {\n                pts = new Array(len);\n                for(k = 0, i = len - 1; k < len; k++, i--) {\n                    pt = pts[k] = {};\n                    pt[t.posLetter] = posCenter - (density[i].v / scale);\n                    pt[t.valLetter] = density[i].t;\n                }\n                pathNeg = makePath(pts);\n            }\n\n            if(hasBothSides) {\n                path = pathPos + 'L' + pathNeg.substr(1) + 'Z';\n            }\n            else {\n                var startPt = [posCenterPx, valAxis.c2p(density[0].t)];\n                var endPt = [posCenterPx, valAxis.c2p(density[len - 1].t)];\n\n                if(trace.orientation === 'h') {\n                    startPt.reverse();\n                    endPt.reverse();\n                }\n\n                if(hasPositiveSide) {\n                    path = 'M' + startPt + 'L' + pathPos.substr(1) + 'L' + endPt;\n                } else {\n                    path = 'M' + endPt + 'L' + pathNeg.substr(1) + 'L' + startPt;\n                }\n            }\n            pathSel.attr('d', path);\n\n            // save a few things used in getPositionOnKdePath, getKdeValue\n            // on hover and for meanline draw block below\n            d.posCenterPx = posCenterPx;\n            d.posDensityScale = scale * bdPos;\n            d.path = pathSel.node();\n            d.pathLength = d.path.getTotalLength() / (hasBothSides ? 2 : 1);\n        });\n\n        var boxAttrs = trace.box;\n        var boxWidth = boxAttrs.width;\n        var boxLineWidth = (boxAttrs.line || {}).width;\n        var bdPosScaled;\n        var bPosPxOffset;\n\n        if(hasBothSides) {\n            bdPosScaled = bdPos * boxWidth;\n            bPosPxOffset = 0;\n        } else if(hasPositiveSide) {\n            bdPosScaled = [0, bdPos * boxWidth / 2];\n            bPosPxOffset = -boxLineWidth;\n        } else {\n            bdPosScaled = [bdPos * boxWidth / 2, 0];\n            bPosPxOffset = boxLineWidth;\n        }\n\n        // inner box\n        boxPlot.plotBoxAndWhiskers(plotGroup, {pos: posAxis, val: valAxis}, trace, {\n            bPos: bPos,\n            bdPos: bdPosScaled,\n            bPosPxOffset: bPosPxOffset\n        });\n\n        // meanline insider box\n        boxPlot.plotBoxMean(plotGroup, {pos: posAxis, val: valAxis}, trace, {\n            bPos: bPos,\n            bdPos: bdPosScaled,\n            bPosPxOffset: bPosPxOffset\n        });\n\n        var fn;\n        if(!trace.box.visible && trace.meanline.visible) {\n            fn = Lib.identity;\n        }\n\n        // N.B. use different class name than boxPlot.plotBoxMean,\n        // to avoid selectAll conflict\n        var meanPaths = plotGroup.selectAll('path.meanline').data(fn || []);\n        meanPaths.enter().append('path')\n            .attr('class', 'meanline')\n            .style('fill', 'none')\n            .style('vector-effect', 'non-scaling-stroke');\n        meanPaths.exit().remove();\n        meanPaths.each(function(d) {\n            var v = valAxis.c2p(d.mean, true);\n            var p = helpers.getPositionOnKdePath(d, trace, v);\n\n            d3.select(this).attr('d',\n                trace.orientation === 'h' ?\n                    'M' + v + ',' + p[0] + 'V' + p[1] :\n                    'M' + p[0] + ',' + v + 'H' + p[1]\n            );\n        });\n\n        boxPlot.plotPoints(plotGroup, {x: xa, y: ya}, trace, t);\n    });\n};\n\n},{\"../../components/drawing\":595,\"../../lib\":696,\"../box/plot\":869,\"../scatter/line_points\":1058,\"./helpers\":1149,\"d3\":148}],1155:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar d3 = _dereq_('d3');\nvar Color = _dereq_('../../components/color');\nvar stylePoints = _dereq_('../scatter/style').stylePoints;\n\nmodule.exports = function style(gd, cd) {\n    var s = cd ? cd[0].node3 : d3.select(gd).selectAll('g.trace.violins');\n\n    s.style('opacity', function(d) { return d[0].trace.opacity; });\n\n    s.each(function(d) {\n        var trace = d[0].trace;\n        var sel = d3.select(this);\n        var box = trace.box || {};\n        var boxLine = box.line || {};\n        var meanline = trace.meanline || {};\n        var meanLineWidth = meanline.width;\n\n        sel.selectAll('path.violin')\n            .style('stroke-width', trace.line.width + 'px')\n            .call(Color.stroke, trace.line.color)\n            .call(Color.fill, trace.fillcolor);\n\n        sel.selectAll('path.box')\n            .style('stroke-width', boxLine.width + 'px')\n            .call(Color.stroke, boxLine.color)\n            .call(Color.fill, box.fillcolor);\n\n        var meanLineStyle = {\n            'stroke-width': meanLineWidth + 'px',\n            'stroke-dasharray': (2 * meanLineWidth) + 'px,' + meanLineWidth + 'px'\n        };\n\n        sel.selectAll('path.mean')\n            .style(meanLineStyle)\n            .call(Color.stroke, meanline.color);\n\n        sel.selectAll('path.meanline')\n            .style(meanLineStyle)\n            .call(Color.stroke, meanline.color);\n\n        stylePoints(sel, trace, gd);\n    });\n};\n\n},{\"../../components/color\":570,\"../scatter/style\":1067,\"d3\":148}],1156:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Axes = _dereq_('../plots/cartesian/axes');\nvar Lib = _dereq_('../lib');\nvar PlotSchema = _dereq_('../plot_api/plot_schema');\nvar pointsAccessorFunction = _dereq_('./helpers').pointsAccessorFunction;\nvar BADNUM = _dereq_('../constants/numerical').BADNUM;\n\nexports.moduleType = 'transform';\n\nexports.name = 'aggregate';\n\nvar attrs = exports.attributes = {\n    enabled: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'calc',\n        \n    },\n    groups: {\n        // TODO: groupby should support string or array grouping this way too\n        // currently groupby only allows a grouping array\n        valType: 'string',\n        strict: true,\n        noBlank: true,\n        arrayOk: true,\n        dflt: 'x',\n        \n        editType: 'calc',\n        \n    },\n    aggregations: {\n        _isLinkedToArray: 'aggregation',\n        target: {\n            valType: 'string',\n            \n            editType: 'calc',\n            \n        },\n        func: {\n            valType: 'enumerated',\n            values: ['count', 'sum', 'avg', 'median', 'mode', 'rms', 'stddev', 'min', 'max', 'first', 'last', 'change', 'range'],\n            dflt: 'first',\n            \n            editType: 'calc',\n            \n        },\n        funcmode: {\n            valType: 'enumerated',\n            values: ['sample', 'population'],\n            dflt: 'sample',\n            \n            editType: 'calc',\n            \n        },\n        enabled: {\n            valType: 'boolean',\n            dflt: true,\n            \n            editType: 'calc',\n            \n        },\n        editType: 'calc'\n    },\n    editType: 'calc'\n};\n\nvar aggAttrs = attrs.aggregations;\n\n/**\n * Supply transform attributes defaults\n *\n * @param {object} transformIn\n *  object linked to trace.transforms[i] with 'func' set to exports.name\n * @param {object} traceOut\n *  the _fullData trace this transform applies to\n * @param {object} layout\n *  the plot's (not-so-full) layout\n * @param {object} traceIn\n *  the input data trace this transform applies to\n *\n * @return {object} transformOut\n *  copy of transformIn that contains attribute defaults\n */\nexports.supplyDefaults = function(transformIn, traceOut) {\n    var transformOut = {};\n    var i;\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(transformIn, transformOut, attrs, attr, dflt);\n    }\n\n    var enabled = coerce('enabled');\n\n    if(!enabled) return transformOut;\n\n    /*\n     * Normally _arrayAttrs is calculated during doCalc, but that comes later.\n     * Anyway this can change due to *count* aggregations (see below) so it's not\n     * necessarily the same set.\n     *\n     * For performance we turn it into an object of truthy values\n     * we'll use 1 for arrays we haven't aggregated yet, 0 for finished arrays,\n     * as distinct from undefined which means this array isn't present in the input\n     * missing arrays can still be aggregate outputs for *count* aggregations.\n     */\n    var arrayAttrArray = PlotSchema.findArrayAttributes(traceOut);\n    var arrayAttrs = {};\n    for(i = 0; i < arrayAttrArray.length; i++) arrayAttrs[arrayAttrArray[i]] = 1;\n\n    var groups = coerce('groups');\n\n    if(!Array.isArray(groups)) {\n        if(!arrayAttrs[groups]) {\n            transformOut.enabled = false;\n            return transformOut;\n        }\n        arrayAttrs[groups] = 0;\n    }\n\n    var aggregationsIn = transformIn.aggregations || [];\n    var aggregationsOut = transformOut.aggregations = new Array(aggregationsIn.length);\n    var aggregationOut;\n\n    function coercei(attr, dflt) {\n        return Lib.coerce(aggregationsIn[i], aggregationOut, aggAttrs, attr, dflt);\n    }\n\n    for(i = 0; i < aggregationsIn.length; i++) {\n        aggregationOut = {_index: i};\n        var target = coercei('target');\n        var func = coercei('func');\n        var enabledi = coercei('enabled');\n\n        // add this aggregation to the output only if it's the first instance\n        // of a valid target attribute - or an unused target attribute with \"count\"\n        if(enabledi && target && (arrayAttrs[target] || (func === 'count' && arrayAttrs[target] === undefined))) {\n            if(func === 'stddev') coercei('funcmode');\n\n            arrayAttrs[target] = 0;\n            aggregationsOut[i] = aggregationOut;\n        }\n        else aggregationsOut[i] = {enabled: false, _index: i};\n    }\n\n    // any array attributes we haven't yet covered, fill them with the default aggregation\n    for(i = 0; i < arrayAttrArray.length; i++) {\n        if(arrayAttrs[arrayAttrArray[i]]) {\n            aggregationsOut.push({\n                target: arrayAttrArray[i],\n                func: aggAttrs.func.dflt,\n                enabled: true,\n                _index: -1\n            });\n        }\n    }\n\n    return transformOut;\n};\n\n\nexports.calcTransform = function(gd, trace, opts) {\n    if(!opts.enabled) return;\n\n    var groups = opts.groups;\n\n    var groupArray = Lib.getTargetArray(trace, {target: groups});\n    if(!groupArray) return;\n\n    var i, vi, groupIndex, newGrouping;\n\n    var groupIndices = {};\n    var indexToPoints = {};\n    var groupings = [];\n\n    var originalPointsAccessor = pointsAccessorFunction(trace.transforms, opts);\n\n    var len = groupArray.length;\n    if(trace._length) len = Math.min(len, trace._length);\n\n    for(i = 0; i < len; i++) {\n        vi = groupArray[i];\n        groupIndex = groupIndices[vi];\n        if(groupIndex === undefined) {\n            groupIndices[vi] = groupings.length;\n            newGrouping = [i];\n            groupings.push(newGrouping);\n            indexToPoints[groupIndices[vi]] = originalPointsAccessor(i);\n        }\n        else {\n            groupings[groupIndex].push(i);\n            indexToPoints[groupIndices[vi]] = (indexToPoints[groupIndices[vi]] || []).concat(originalPointsAccessor(i));\n        }\n    }\n\n    opts._indexToPoints = indexToPoints;\n\n    var aggregations = opts.aggregations;\n\n    for(i = 0; i < aggregations.length; i++) {\n        aggregateOneArray(gd, trace, groupings, aggregations[i]);\n    }\n\n    if(typeof groups === 'string') {\n        aggregateOneArray(gd, trace, groupings, {\n            target: groups,\n            func: 'first',\n            enabled: true\n        });\n    }\n\n    trace._length = groupings.length;\n};\n\nfunction aggregateOneArray(gd, trace, groupings, aggregation) {\n    if(!aggregation.enabled) return;\n\n    var attr = aggregation.target;\n    var targetNP = Lib.nestedProperty(trace, attr);\n    var arrayIn = targetNP.get();\n    var conversions = Axes.getDataConversions(gd, trace, attr, arrayIn);\n    var func = getAggregateFunction(aggregation, conversions);\n\n    var arrayOut = new Array(groupings.length);\n    for(var i = 0; i < groupings.length; i++) {\n        arrayOut[i] = func(arrayIn, groupings[i]);\n    }\n    targetNP.set(arrayOut);\n\n    if(aggregation.func === 'count') {\n        // count does not depend on an input array, so it's likely not part of _arrayAttrs yet\n        // but after this transform it most definitely *is* an array attribute.\n        Lib.pushUnique(trace._arrayAttrs, attr);\n    }\n}\n\nfunction getAggregateFunction(opts, conversions) {\n    var func = opts.func;\n    var d2c = conversions.d2c;\n    var c2d = conversions.c2d;\n\n    switch(func) {\n        // count, first, and last don't depend on anything about the data\n        // point back to pure functions for performance\n        case 'count':\n            return count;\n        case 'first':\n            return first;\n        case 'last':\n            return last;\n\n        case 'sum':\n            // This will produce output in all cases even though it's nonsensical\n            // for date or category data.\n            return function(array, indices) {\n                var total = 0;\n                for(var i = 0; i < indices.length; i++) {\n                    var vi = d2c(array[indices[i]]);\n                    if(vi !== BADNUM) total += vi;\n                }\n                return c2d(total);\n            };\n\n        case 'avg':\n            // Generally meaningless for category data but it still does something.\n            return function(array, indices) {\n                var total = 0;\n                var cnt = 0;\n                for(var i = 0; i < indices.length; i++) {\n                    var vi = d2c(array[indices[i]]);\n                    if(vi !== BADNUM) {\n                        total += vi;\n                        cnt++;\n                    }\n                }\n                return cnt ? c2d(total / cnt) : BADNUM;\n            };\n\n        case 'min':\n            return function(array, indices) {\n                var out = Infinity;\n                for(var i = 0; i < indices.length; i++) {\n                    var vi = d2c(array[indices[i]]);\n                    if(vi !== BADNUM) out = Math.min(out, vi);\n                }\n                return (out === Infinity) ? BADNUM : c2d(out);\n            };\n\n        case 'max':\n            return function(array, indices) {\n                var out = -Infinity;\n                for(var i = 0; i < indices.length; i++) {\n                    var vi = d2c(array[indices[i]]);\n                    if(vi !== BADNUM) out = Math.max(out, vi);\n                }\n                return (out === -Infinity) ? BADNUM : c2d(out);\n            };\n\n        case 'range':\n            return function(array, indices) {\n                var min = Infinity;\n                var max = -Infinity;\n                for(var i = 0; i < indices.length; i++) {\n                    var vi = d2c(array[indices[i]]);\n                    if(vi !== BADNUM) {\n                        min = Math.min(min, vi);\n                        max = Math.max(max, vi);\n                    }\n                }\n                return (max === -Infinity || min === Infinity) ? BADNUM : c2d(max - min);\n            };\n\n        case 'change':\n            return function(array, indices) {\n                var first = d2c(array[indices[0]]);\n                var last = d2c(array[indices[indices.length - 1]]);\n                return (first === BADNUM || last === BADNUM) ? BADNUM : c2d(last - first);\n            };\n\n        case 'median':\n            return function(array, indices) {\n                var sortCalc = [];\n                for(var i = 0; i < indices.length; i++) {\n                    var vi = d2c(array[indices[i]]);\n                    if(vi !== BADNUM) sortCalc.push(vi);\n                }\n                if(!sortCalc.length) return BADNUM;\n                sortCalc.sort();\n                var mid = (sortCalc.length - 1) / 2;\n                return c2d((sortCalc[Math.floor(mid)] + sortCalc[Math.ceil(mid)]) / 2);\n            };\n\n        case 'mode':\n            return function(array, indices) {\n                var counts = {};\n                var maxCnt = 0;\n                var out = BADNUM;\n                for(var i = 0; i < indices.length; i++) {\n                    var vi = d2c(array[indices[i]]);\n                    if(vi !== BADNUM) {\n                        var counti = counts[vi] = (counts[vi] || 0) + 1;\n                        if(counti > maxCnt) {\n                            maxCnt = counti;\n                            out = vi;\n                        }\n                    }\n                }\n                return maxCnt ? c2d(out) : BADNUM;\n            };\n\n        case 'rms':\n            return function(array, indices) {\n                var total = 0;\n                var cnt = 0;\n                for(var i = 0; i < indices.length; i++) {\n                    var vi = d2c(array[indices[i]]);\n                    if(vi !== BADNUM) {\n                        total += vi * vi;\n                        cnt++;\n                    }\n                }\n                return cnt ? c2d(Math.sqrt(total / cnt)) : BADNUM;\n            };\n\n        case 'stddev':\n            return function(array, indices) {\n                // balance numerical stability with performance:\n                // so that we call d2c once per element but don't need to\n                // store them, reference all to the first element\n                var total = 0;\n                var total2 = 0;\n                var cnt = 1;\n                var v0 = BADNUM;\n                var i;\n                for(i = 0; i < indices.length && v0 === BADNUM; i++) {\n                    v0 = d2c(array[indices[i]]);\n                }\n                if(v0 === BADNUM) return BADNUM;\n\n                for(; i < indices.length; i++) {\n                    var vi = d2c(array[indices[i]]);\n                    if(vi !== BADNUM) {\n                        var dv = vi - v0;\n                        total += dv;\n                        total2 += dv * dv;\n                        cnt++;\n                    }\n                }\n\n                // This is population std dev, if we want sample std dev\n                // we would need (...) / (cnt - 1)\n                // Also note there's no c2d here - that means for dates the result\n                // is a number of milliseconds, and for categories it's a number\n                // of category differences, which is not generically meaningful but\n                // as in other cases we don't forbid it.\n                var norm = (opts.funcmode === 'sample') ? (cnt - 1) : cnt;\n                // this is debatable: should a count of 1 return sample stddev of\n                // 0 or undefined?\n                if(!norm) return 0;\n                return Math.sqrt((total2 - (total * total / cnt)) / norm);\n            };\n    }\n}\n\nfunction count(array, indices) {\n    return indices.length;\n}\n\nfunction first(array, indices) {\n    return array[indices[0]];\n}\n\nfunction last(array, indices) {\n    return array[indices[indices.length - 1]];\n}\n\n},{\"../constants/numerical\":673,\"../lib\":696,\"../plot_api/plot_schema\":734,\"../plots/cartesian/axes\":745,\"./helpers\":1159}],1157:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar Registry = _dereq_('../registry');\nvar Axes = _dereq_('../plots/cartesian/axes');\nvar pointsAccessorFunction = _dereq_('./helpers').pointsAccessorFunction;\n\nvar filterOps = _dereq_('../constants/filter_ops');\nvar COMPARISON_OPS = filterOps.COMPARISON_OPS;\nvar INTERVAL_OPS = filterOps.INTERVAL_OPS;\nvar SET_OPS = filterOps.SET_OPS;\n\nexports.moduleType = 'transform';\n\nexports.name = 'filter';\n\nexports.attributes = {\n    enabled: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'calc',\n        \n    },\n    target: {\n        valType: 'string',\n        strict: true,\n        noBlank: true,\n        arrayOk: true,\n        dflt: 'x',\n        \n        editType: 'calc',\n        \n    },\n    operation: {\n        valType: 'enumerated',\n        values: []\n            .concat(COMPARISON_OPS)\n            .concat(INTERVAL_OPS)\n            .concat(SET_OPS),\n        dflt: '=',\n        \n        editType: 'calc',\n        \n    },\n    value: {\n        valType: 'any',\n        dflt: 0,\n        \n        editType: 'calc',\n        \n    },\n    preservegaps: {\n        valType: 'boolean',\n        dflt: false,\n        \n        editType: 'calc',\n        \n    },\n    editType: 'calc'\n};\n\nexports.supplyDefaults = function(transformIn) {\n    var transformOut = {};\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(transformIn, transformOut, exports.attributes, attr, dflt);\n    }\n\n    var enabled = coerce('enabled');\n\n    if(enabled) {\n        coerce('preservegaps');\n        coerce('operation');\n        coerce('value');\n        coerce('target');\n\n        var handleCalendarDefaults = Registry.getComponentMethod('calendars', 'handleDefaults');\n        handleCalendarDefaults(transformIn, transformOut, 'valuecalendar', null);\n        handleCalendarDefaults(transformIn, transformOut, 'targetcalendar', null);\n    }\n\n    return transformOut;\n};\n\nexports.calcTransform = function(gd, trace, opts) {\n    if(!opts.enabled) return;\n\n    var targetArray = Lib.getTargetArray(trace, opts);\n    if(!targetArray) return;\n\n    var target = opts.target;\n\n    var len = targetArray.length;\n    if(trace._length) len = Math.min(len, trace._length);\n\n    var targetCalendar = opts.targetcalendar;\n    var arrayAttrs = trace._arrayAttrs;\n    var preservegaps = opts.preservegaps;\n\n    // even if you provide targetcalendar, if target is a string and there\n    // is a calendar attribute matching target it will get used instead.\n    if(typeof target === 'string') {\n        var attrTargetCalendar = Lib.nestedProperty(trace, target + 'calendar').get();\n        if(attrTargetCalendar) targetCalendar = attrTargetCalendar;\n    }\n\n    var d2c = Axes.getDataToCoordFunc(gd, trace, target, targetArray);\n    var filterFunc = getFilterFunc(opts, d2c, targetCalendar);\n    var originalArrays = {};\n    var indexToPoints = {};\n    var index = 0;\n\n    function forAllAttrs(fn, index) {\n        for(var j = 0; j < arrayAttrs.length; j++) {\n            var np = Lib.nestedProperty(trace, arrayAttrs[j]);\n            fn(np, index);\n        }\n    }\n\n    var initFn;\n    var fillFn;\n    if(preservegaps) {\n        initFn = function(np) {\n            originalArrays[np.astr] = Lib.extendDeep([], np.get());\n            np.set(new Array(len));\n        };\n        fillFn = function(np, index) {\n            var val = originalArrays[np.astr][index];\n            np.get()[index] = val;\n        };\n    } else {\n        initFn = function(np) {\n            originalArrays[np.astr] = Lib.extendDeep([], np.get());\n            np.set([]);\n        };\n        fillFn = function(np, index) {\n            var val = originalArrays[np.astr][index];\n            np.get().push(val);\n        };\n    }\n\n    // copy all original array attribute values, and clear arrays in trace\n    forAllAttrs(initFn);\n\n    var originalPointsAccessor = pointsAccessorFunction(trace.transforms, opts);\n\n    // loop through filter array, fill trace arrays if passed\n    for(var i = 0; i < len; i++) {\n        var passed = filterFunc(targetArray[i]);\n        if(passed) {\n            forAllAttrs(fillFn, i);\n            indexToPoints[index++] = originalPointsAccessor(i);\n        }\n        else if(preservegaps) index++;\n    }\n\n    opts._indexToPoints = indexToPoints;\n    trace._length = index;\n};\n\nfunction getFilterFunc(opts, d2c, targetCalendar) {\n    var operation = opts.operation,\n        value = opts.value,\n        hasArrayValue = Array.isArray(value);\n\n    function isOperationIn(array) {\n        return array.indexOf(operation) !== -1;\n    }\n\n    var d2cValue = function(v) { return d2c(v, 0, opts.valuecalendar); },\n        d2cTarget = function(v) { return d2c(v, 0, targetCalendar); };\n\n    var coercedValue;\n\n    if(isOperationIn(COMPARISON_OPS)) {\n        coercedValue = hasArrayValue ? d2cValue(value[0]) : d2cValue(value);\n    }\n    else if(isOperationIn(INTERVAL_OPS)) {\n        coercedValue = hasArrayValue ?\n            [d2cValue(value[0]), d2cValue(value[1])] :\n            [d2cValue(value), d2cValue(value)];\n    }\n    else if(isOperationIn(SET_OPS)) {\n        coercedValue = hasArrayValue ? value.map(d2cValue) : [d2cValue(value)];\n    }\n\n    switch(operation) {\n\n        case '=':\n            return function(v) { return d2cTarget(v) === coercedValue; };\n\n        case '!=':\n            return function(v) { return d2cTarget(v) !== coercedValue; };\n\n        case '<':\n            return function(v) { return d2cTarget(v) < coercedValue; };\n\n        case '<=':\n            return function(v) { return d2cTarget(v) <= coercedValue; };\n\n        case '>':\n            return function(v) { return d2cTarget(v) > coercedValue; };\n\n        case '>=':\n            return function(v) { return d2cTarget(v) >= coercedValue; };\n\n        case '[]':\n            return function(v) {\n                var cv = d2cTarget(v);\n                return cv >= coercedValue[0] && cv <= coercedValue[1];\n            };\n\n        case '()':\n            return function(v) {\n                var cv = d2cTarget(v);\n                return cv > coercedValue[0] && cv < coercedValue[1];\n            };\n\n        case '[)':\n            return function(v) {\n                var cv = d2cTarget(v);\n                return cv >= coercedValue[0] && cv < coercedValue[1];\n            };\n\n        case '(]':\n            return function(v) {\n                var cv = d2cTarget(v);\n                return cv > coercedValue[0] && cv <= coercedValue[1];\n            };\n\n        case '][':\n            return function(v) {\n                var cv = d2cTarget(v);\n                return cv <= coercedValue[0] || cv >= coercedValue[1];\n            };\n\n        case ')(':\n            return function(v) {\n                var cv = d2cTarget(v);\n                return cv < coercedValue[0] || cv > coercedValue[1];\n            };\n\n        case '](':\n            return function(v) {\n                var cv = d2cTarget(v);\n                return cv <= coercedValue[0] || cv > coercedValue[1];\n            };\n\n        case ')[':\n            return function(v) {\n                var cv = d2cTarget(v);\n                return cv < coercedValue[0] || cv >= coercedValue[1];\n            };\n\n        case '{}':\n            return function(v) {\n                return coercedValue.indexOf(d2cTarget(v)) !== -1;\n            };\n\n        case '}{':\n            return function(v) {\n                return coercedValue.indexOf(d2cTarget(v)) === -1;\n            };\n    }\n}\n\n},{\"../constants/filter_ops\":669,\"../lib\":696,\"../plots/cartesian/axes\":745,\"../registry\":828,\"./helpers\":1159}],1158:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar PlotSchema = _dereq_('../plot_api/plot_schema');\nvar Plots = _dereq_('../plots/plots');\nvar pointsAccessorFunction = _dereq_('./helpers').pointsAccessorFunction;\n\nexports.moduleType = 'transform';\n\nexports.name = 'groupby';\n\nexports.attributes = {\n    enabled: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'calc',\n        \n    },\n    groups: {\n        valType: 'data_array',\n        dflt: [],\n        \n        editType: 'calc',\n        \n    },\n    nameformat: {\n        valType: 'string',\n        \n        editType: 'calc',\n        \n    },\n    styles: {\n        _isLinkedToArray: 'style',\n        target: {\n            valType: 'string',\n            \n            editType: 'calc',\n            \n        },\n        value: {\n            valType: 'any',\n            \n            dflt: {},\n            editType: 'calc',\n            \n            _compareAsJSON: true\n        },\n        editType: 'calc'\n    },\n    editType: 'calc'\n};\n\n/**\n * Supply transform attributes defaults\n *\n * @param {object} transformIn\n *  object linked to trace.transforms[i] with 'type' set to exports.name\n * @param {object} traceOut\n *  the _fullData trace this transform applies to\n * @param {object} layout\n *  the plot's (not-so-full) layout\n * @param {object} traceIn\n *  the input data trace this transform applies to\n *\n * @return {object} transformOut\n *  copy of transformIn that contains attribute defaults\n */\nexports.supplyDefaults = function(transformIn, traceOut, layout) {\n    var i;\n    var transformOut = {};\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(transformIn, transformOut, exports.attributes, attr, dflt);\n    }\n\n    var enabled = coerce('enabled');\n\n    if(!enabled) return transformOut;\n\n    coerce('groups');\n    coerce('nameformat', layout._dataLength > 1 ? '%{group} (%{trace})' : '%{group}');\n\n    var styleIn = transformIn.styles;\n    var styleOut = transformOut.styles = [];\n\n    if(styleIn) {\n        for(i = 0; i < styleIn.length; i++) {\n            var thisStyle = styleOut[i] = {};\n            Lib.coerce(styleIn[i], styleOut[i], exports.attributes.styles, 'target');\n            var value = Lib.coerce(styleIn[i], styleOut[i], exports.attributes.styles, 'value');\n\n            // so that you can edit value in place and have Plotly.react notice it, or\n            // rebuild it every time and have Plotly.react NOT think it changed:\n            // use _compareAsJSON to say we should diff the _JSON_value\n            if(Lib.isPlainObject(value)) thisStyle.value = Lib.extendDeep({}, value);\n            else if(value) delete thisStyle.value;\n        }\n    }\n\n    return transformOut;\n};\n\n\n/**\n * Apply transform !!!\n *\n * @param {array} data\n *  array of transformed traces (is [fullTrace] upon first transform)\n *\n * @param {object} state\n *  state object which includes:\n *      - transform {object} full transform attributes\n *      - fullTrace {object} full trace object which is being transformed\n *      - fullData {array} full pre-transform(s) data array\n *      - layout {object} the plot's (not-so-full) layout\n *\n * @return {object} newData\n *  array of transformed traces\n */\nexports.transform = function(data, state) {\n    var newTraces, i, j;\n    var newData = [];\n\n    for(i = 0; i < data.length; i++) {\n        newTraces = transformOne(data[i], state);\n\n        for(j = 0; j < newTraces.length; j++) {\n            newData.push(newTraces[j]);\n        }\n    }\n\n    return newData;\n};\n\nfunction transformOne(trace, state) {\n    var i, j, k, attr, srcArray, groupName, newTrace, transforms, arrayLookup;\n    var groupNameObj;\n\n    var opts = state.transform;\n    var transformIndex = state.transformIndex;\n    var groups = trace.transforms[transformIndex].groups;\n    var originalPointsAccessor = pointsAccessorFunction(trace.transforms, opts);\n\n    if(!(Array.isArray(groups)) || groups.length === 0) {\n        return [trace];\n    }\n\n    var groupNames = Lib.filterUnique(groups),\n        newData = new Array(groupNames.length),\n        len = groups.length;\n\n    var arrayAttrs = PlotSchema.findArrayAttributes(trace);\n\n    var styles = opts.styles || [];\n    var styleLookup = {};\n    for(i = 0; i < styles.length; i++) {\n        styleLookup[styles[i].target] = styles[i].value;\n    }\n\n    if(opts.styles) {\n        groupNameObj = Lib.keyedContainer(opts, 'styles', 'target', 'value.name');\n    }\n\n    // An index to map group name --> expanded trace index\n    var indexLookup = {};\n    var indexCnts = {};\n\n    for(i = 0; i < groupNames.length; i++) {\n        groupName = groupNames[i];\n        indexLookup[groupName] = i;\n        indexCnts[groupName] = 0;\n\n        // Start with a deep extend that just copies array references.\n        newTrace = newData[i] = Lib.extendDeepNoArrays({}, trace);\n        newTrace._group = groupName;\n        // helper function for when we need to push updates back to the input,\n        // outside of the normal restyle/relayout pathway, like filling in auto values\n        newTrace.updateStyle = styleUpdater(groupName, transformIndex);\n        newTrace.transforms[transformIndex]._indexToPoints = {};\n\n        var suppliedName = null;\n        if(groupNameObj) {\n            suppliedName = groupNameObj.get(groupName);\n        }\n\n        if(suppliedName || suppliedName === '') {\n            newTrace.name = suppliedName;\n        } else {\n            newTrace.name = Lib.templateString(opts.nameformat, {\n                trace: trace.name,\n                group: groupName\n            });\n        }\n\n        // In order for groups to apply correctly to other transform data (e.g.\n        // a filter transform), we have to break the connection and clone the\n        // transforms so that each group writes grouped values into a different\n        // destination. This function does not break the array reference\n        // connection between the split transforms it creates. That's handled in\n        // initialize, which creates a new empty array for each arrayAttr.\n        transforms = newTrace.transforms;\n        newTrace.transforms = [];\n        for(j = 0; j < transforms.length; j++) {\n            newTrace.transforms[j] = Lib.extendDeepNoArrays({}, transforms[j]);\n        }\n\n        // Initialize empty arrays for the arrayAttrs, to be split in the next step\n        for(j = 0; j < arrayAttrs.length; j++) {\n            Lib.nestedProperty(newTrace, arrayAttrs[j]).set([]);\n        }\n    }\n\n    // For each array attribute including those nested inside this and other\n    // transforms (small note that we technically only need to do this for\n    // transforms that have not yet been applied):\n    for(k = 0; k < arrayAttrs.length; k++) {\n        attr = arrayAttrs[k];\n\n        // Cache all the arrays to which we'll push:\n        for(j = 0, arrayLookup = []; j < groupNames.length; j++) {\n            arrayLookup[j] = Lib.nestedProperty(newData[j], attr).get();\n        }\n\n        // Get the input data:\n        srcArray = Lib.nestedProperty(trace, attr).get();\n\n        // Send each data point to the appropriate expanded trace:\n        for(j = 0; j < len; j++) {\n            // Map group data --> trace index --> array and push data onto it\n            arrayLookup[indexLookup[groups[j]]].push(srcArray[j]);\n        }\n    }\n\n    for(j = 0; j < len; j++) {\n        newTrace = newData[indexLookup[groups[j]]];\n\n        var indexToPoints = newTrace.transforms[transformIndex]._indexToPoints;\n        indexToPoints[indexCnts[groups[j]]] = originalPointsAccessor(j);\n        indexCnts[groups[j]]++;\n    }\n\n    for(i = 0; i < groupNames.length; i++) {\n        groupName = groupNames[i];\n        newTrace = newData[i];\n\n        Plots.clearExpandedTraceDefaultColors(newTrace);\n\n        // there's no need to coerce styleLookup[groupName] here\n        // as another round of supplyDefaults is done on the transformed traces\n        newTrace = Lib.extendDeepNoArrays(newTrace, styleLookup[groupName] || {});\n    }\n\n    return newData;\n}\n\nfunction styleUpdater(groupName, transformIndex) {\n    return function(trace, attr, value) {\n        Lib.keyedContainer(\n            trace,\n            'transforms[' + transformIndex + '].styles',\n            'target',\n            'value.' + attr\n        ).set(String(groupName), value);\n    };\n}\n\n},{\"../lib\":696,\"../plot_api/plot_schema\":734,\"../plots/plots\":809,\"./helpers\":1159}],1159:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nexports.pointsAccessorFunction = function(transforms, opts) {\n    var tr;\n    var prevIndexToPoints;\n    for(var i = 0; i < transforms.length; i++) {\n        tr = transforms[i];\n        if(tr === opts) break;\n        if(!tr._indexToPoints || tr.enabled === false) continue;\n        prevIndexToPoints = tr._indexToPoints;\n    }\n    var originalPointsAccessor = prevIndexToPoints ?\n        function(i) {return prevIndexToPoints[i];} :\n        function(i) {return [i];};\n    return originalPointsAccessor;\n};\n\n},{}],1160:[function(_dereq_,module,exports){\n/**\n* Copyright 2012-2018, Plotly, Inc.\n* All rights reserved.\n*\n* This source code is licensed under the MIT license found in the\n* LICENSE file in the root directory of this source tree.\n*/\n\n'use strict';\n\nvar Lib = _dereq_('../lib');\nvar Axes = _dereq_('../plots/cartesian/axes');\nvar pointsAccessorFunction = _dereq_('./helpers').pointsAccessorFunction;\n\nexports.moduleType = 'transform';\n\nexports.name = 'sort';\n\nexports.attributes = {\n    enabled: {\n        valType: 'boolean',\n        dflt: true,\n        \n        editType: 'calc',\n        \n    },\n    target: {\n        valType: 'string',\n        strict: true,\n        noBlank: true,\n        arrayOk: true,\n        dflt: 'x',\n        \n        editType: 'calc',\n        \n    },\n    order: {\n        valType: 'enumerated',\n        values: ['ascending', 'descending'],\n        dflt: 'ascending',\n        \n        editType: 'calc',\n        \n    },\n    editType: 'calc'\n};\n\nexports.supplyDefaults = function(transformIn) {\n    var transformOut = {};\n\n    function coerce(attr, dflt) {\n        return Lib.coerce(transformIn, transformOut, exports.attributes, attr, dflt);\n    }\n\n    var enabled = coerce('enabled');\n\n    if(enabled) {\n        coerce('target');\n        coerce('order');\n    }\n\n    return transformOut;\n};\n\nexports.calcTransform = function(gd, trace, opts) {\n    if(!opts.enabled) return;\n\n    var targetArray = Lib.getTargetArray(trace, opts);\n    if(!targetArray) return;\n\n    var target = opts.target;\n\n    var len = targetArray.length;\n    if(trace._length) len = Math.min(len, trace._length);\n\n    var arrayAttrs = trace._arrayAttrs;\n    var d2c = Axes.getDataToCoordFunc(gd, trace, target, targetArray);\n    var indices = getIndices(opts, targetArray, d2c, len);\n    var originalPointsAccessor = pointsAccessorFunction(trace.transforms, opts);\n    var indexToPoints = {};\n    var i, j;\n\n    for(i = 0; i < arrayAttrs.length; i++) {\n        var np = Lib.nestedProperty(trace, arrayAttrs[i]);\n        var arrayOld = np.get();\n        var arrayNew = new Array(len);\n\n        for(j = 0; j < len; j++) {\n            arrayNew[j] = arrayOld[indices[j]];\n        }\n\n        np.set(arrayNew);\n    }\n\n    for(j = 0; j < len; j++) {\n        indexToPoints[j] = originalPointsAccessor(indices[j]);\n    }\n\n    opts._indexToPoints = indexToPoints;\n    trace._length = len;\n};\n\nfunction getIndices(opts, targetArray, d2c, len) {\n    var sortedArray = new Array(len);\n    var indices = new Array(len);\n    var i;\n\n    for(i = 0; i < len; i++) {\n        sortedArray[i] = {v: targetArray[i], i: i};\n    }\n\n    sortedArray.sort(getSortFunc(opts, d2c));\n\n    for(i = 0; i < len; i++) {\n        indices[i] = sortedArray[i].i;\n    }\n\n    return indices;\n}\n\nfunction getSortFunc(opts, d2c) {\n    switch(opts.order) {\n        case 'ascending':\n            return function(a, b) { return d2c(a.v) - d2c(b.v); };\n        case 'descending':\n            return function(a, b) { return d2c(b.v) - d2c(a.v); };\n    }\n}\n\n},{\"../lib\":696,\"../plots/cartesian/axes\":745,\"./helpers\":1159}]},{},[22])(22)\n});\n","module.exports = function isBuffer(arg) {\n  return arg && typeof arg === 'object'\n    && typeof arg.copy === 'function'\n    && typeof arg.fill === 'function'\n    && typeof arg.readUInt8 === 'function';\n}","if (typeof Object.create === 'function') {\n  // implementation from standard node.js 'util' module\n  module.exports = function inherits(ctor, superCtor) {\n    ctor.super_ = superCtor\n    ctor.prototype = Object.create(superCtor.prototype, {\n      constructor: {\n        value: ctor,\n        enumerable: false,\n        writable: true,\n        configurable: true\n      }\n    });\n  };\n} else {\n  // old school shim for old browsers\n  module.exports = function inherits(ctor, superCtor) {\n    ctor.super_ = superCtor\n    var TempCtor = function () {}\n    TempCtor.prototype = superCtor.prototype\n    ctor.prototype = new TempCtor()\n    ctor.prototype.constructor = ctor\n  }\n}\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nvar getOwnPropertyDescriptors = Object.getOwnPropertyDescriptors ||\n  function getOwnPropertyDescriptors(obj) {\n    var keys = Object.keys(obj);\n    var descriptors = {};\n    for (var i = 0; i < keys.length; i++) {\n      descriptors[keys[i]] = Object.getOwnPropertyDescriptor(obj, keys[i]);\n    }\n    return descriptors;\n  };\n\nvar formatRegExp = /%[sdj%]/g;\nexports.format = function(f) {\n  if (!isString(f)) {\n    var objects = [];\n    for (var i = 0; i < arguments.length; i++) {\n      objects.push(inspect(arguments[i]));\n    }\n    return objects.join(' ');\n  }\n\n  var i = 1;\n  var args = arguments;\n  var len = args.length;\n  var str = String(f).replace(formatRegExp, function(x) {\n    if (x === '%%') return '%';\n    if (i >= len) return x;\n    switch (x) {\n      case '%s': return String(args[i++]);\n      case '%d': return Number(args[i++]);\n      case '%j':\n        try {\n          return JSON.stringify(args[i++]);\n        } catch (_) {\n          return '[Circular]';\n        }\n      default:\n        return x;\n    }\n  });\n  for (var x = args[i]; i < len; x = args[++i]) {\n    if (isNull(x) || !isObject(x)) {\n      str += ' ' + x;\n    } else {\n      str += ' ' + inspect(x);\n    }\n  }\n  return str;\n};\n\n\n// Mark that a method should not be used.\n// Returns a modified function which warns once by default.\n// If --no-deprecation is set, then it is a no-op.\nexports.deprecate = function(fn, msg) {\n  if (typeof process !== 'undefined' && process.noDeprecation === true) {\n    return fn;\n  }\n\n  // Allow for deprecating things in the process of starting up.\n  if (typeof process === 'undefined') {\n    return function() {\n      return exports.deprecate(fn, msg).apply(this, arguments);\n    };\n  }\n\n  var warned = false;\n  function deprecated() {\n    if (!warned) {\n      if (process.throwDeprecation) {\n        throw new Error(msg);\n      } else if (process.traceDeprecation) {\n        console.trace(msg);\n      } else {\n        console.error(msg);\n      }\n      warned = true;\n    }\n    return fn.apply(this, arguments);\n  }\n\n  return deprecated;\n};\n\n\nvar debugs = {};\nvar debugEnviron;\nexports.debuglog = function(set) {\n  if (isUndefined(debugEnviron))\n    debugEnviron = process.env.NODE_DEBUG || '';\n  set = set.toUpperCase();\n  if (!debugs[set]) {\n    if (new RegExp('\\\\b' + set + '\\\\b', 'i').test(debugEnviron)) {\n      var pid = process.pid;\n      debugs[set] = function() {\n        var msg = exports.format.apply(exports, arguments);\n        console.error('%s %d: %s', set, pid, msg);\n      };\n    } else {\n      debugs[set] = function() {};\n    }\n  }\n  return debugs[set];\n};\n\n\n/**\n * Echos the value of a value. Trys to print the value out\n * in the best way possible given the different types.\n *\n * @param {Object} obj The object to print out.\n * @param {Object} opts Optional options object that alters the output.\n */\n/* legacy: obj, showHidden, depth, colors*/\nfunction inspect(obj, opts) {\n  // default options\n  var ctx = {\n    seen: [],\n    stylize: stylizeNoColor\n  };\n  // legacy...\n  if (arguments.length >= 3) ctx.depth = arguments[2];\n  if (arguments.length >= 4) ctx.colors = arguments[3];\n  if (isBoolean(opts)) {\n    // legacy...\n    ctx.showHidden = opts;\n  } else if (opts) {\n    // got an \"options\" object\n    exports._extend(ctx, opts);\n  }\n  // set default options\n  if (isUndefined(ctx.showHidden)) ctx.showHidden = false;\n  if (isUndefined(ctx.depth)) ctx.depth = 2;\n  if (isUndefined(ctx.colors)) ctx.colors = false;\n  if (isUndefined(ctx.customInspect)) ctx.customInspect = true;\n  if (ctx.colors) ctx.stylize = stylizeWithColor;\n  return formatValue(ctx, obj, ctx.depth);\n}\nexports.inspect = inspect;\n\n\n// http://en.wikipedia.org/wiki/ANSI_escape_code#graphics\ninspect.colors = {\n  'bold' : [1, 22],\n  'italic' : [3, 23],\n  'underline' : [4, 24],\n  'inverse' : [7, 27],\n  'white' : [37, 39],\n  'grey' : [90, 39],\n  'black' : [30, 39],\n  'blue' : [34, 39],\n  'cyan' : [36, 39],\n  'green' : [32, 39],\n  'magenta' : [35, 39],\n  'red' : [31, 39],\n  'yellow' : [33, 39]\n};\n\n// Don't use 'blue' not visible on cmd.exe\ninspect.styles = {\n  'special': 'cyan',\n  'number': 'yellow',\n  'boolean': 'yellow',\n  'undefined': 'grey',\n  'null': 'bold',\n  'string': 'green',\n  'date': 'magenta',\n  // \"name\": intentionally not styling\n  'regexp': 'red'\n};\n\n\nfunction stylizeWithColor(str, styleType) {\n  var style = inspect.styles[styleType];\n\n  if (style) {\n    return '\\u001b[' + inspect.colors[style][0] + 'm' + str +\n           '\\u001b[' + inspect.colors[style][1] + 'm';\n  } else {\n    return str;\n  }\n}\n\n\nfunction stylizeNoColor(str, styleType) {\n  return str;\n}\n\n\nfunction arrayToHash(array) {\n  var hash = {};\n\n  array.forEach(function(val, idx) {\n    hash[val] = true;\n  });\n\n  return hash;\n}\n\n\nfunction formatValue(ctx, value, recurseTimes) {\n  // Provide a hook for user-specified inspect functions.\n  // Check that value is an object with an inspect function on it\n  if (ctx.customInspect &&\n      value &&\n      isFunction(value.inspect) &&\n      // Filter out the util module, it's inspect function is special\n      value.inspect !== exports.inspect &&\n      // Also filter out any prototype objects using the circular check.\n      !(value.constructor && value.constructor.prototype === value)) {\n    var ret = value.inspect(recurseTimes, ctx);\n    if (!isString(ret)) {\n      ret = formatValue(ctx, ret, recurseTimes);\n    }\n    return ret;\n  }\n\n  // Primitive types cannot have properties\n  var primitive = formatPrimitive(ctx, value);\n  if (primitive) {\n    return primitive;\n  }\n\n  // Look up the keys of the object.\n  var keys = Object.keys(value);\n  var visibleKeys = arrayToHash(keys);\n\n  if (ctx.showHidden) {\n    keys = Object.getOwnPropertyNames(value);\n  }\n\n  // IE doesn't make error fields non-enumerable\n  // http://msdn.microsoft.com/en-us/library/ie/dww52sbt(v=vs.94).aspx\n  if (isError(value)\n      && (keys.indexOf('message') >= 0 || keys.indexOf('description') >= 0)) {\n    return formatError(value);\n  }\n\n  // Some type of object without properties can be shortcutted.\n  if (keys.length === 0) {\n    if (isFunction(value)) {\n      var name = value.name ? ': ' + value.name : '';\n      return ctx.stylize('[Function' + name + ']', 'special');\n    }\n    if (isRegExp(value)) {\n      return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp');\n    }\n    if (isDate(value)) {\n      return ctx.stylize(Date.prototype.toString.call(value), 'date');\n    }\n    if (isError(value)) {\n      return formatError(value);\n    }\n  }\n\n  var base = '', array = false, braces = ['{', '}'];\n\n  // Make Array say that they are Array\n  if (isArray(value)) {\n    array = true;\n    braces = ['[', ']'];\n  }\n\n  // Make functions say that they are functions\n  if (isFunction(value)) {\n    var n = value.name ? ': ' + value.name : '';\n    base = ' [Function' + n + ']';\n  }\n\n  // Make RegExps say that they are RegExps\n  if (isRegExp(value)) {\n    base = ' ' + RegExp.prototype.toString.call(value);\n  }\n\n  // Make dates with properties first say the date\n  if (isDate(value)) {\n    base = ' ' + Date.prototype.toUTCString.call(value);\n  }\n\n  // Make error with message first say the error\n  if (isError(value)) {\n    base = ' ' + formatError(value);\n  }\n\n  if (keys.length === 0 && (!array || value.length == 0)) {\n    return braces[0] + base + braces[1];\n  }\n\n  if (recurseTimes < 0) {\n    if (isRegExp(value)) {\n      return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp');\n    } else {\n      return ctx.stylize('[Object]', 'special');\n    }\n  }\n\n  ctx.seen.push(value);\n\n  var output;\n  if (array) {\n    output = formatArray(ctx, value, recurseTimes, visibleKeys, keys);\n  } else {\n    output = keys.map(function(key) {\n      return formatProperty(ctx, value, recurseTimes, visibleKeys, key, array);\n    });\n  }\n\n  ctx.seen.pop();\n\n  return reduceToSingleString(output, base, braces);\n}\n\n\nfunction formatPrimitive(ctx, value) {\n  if (isUndefined(value))\n    return ctx.stylize('undefined', 'undefined');\n  if (isString(value)) {\n    var simple = '\\'' + JSON.stringify(value).replace(/^\"|\"$/g, '')\n                                             .replace(/'/g, \"\\\\'\")\n                                             .replace(/\\\\\"/g, '\"') + '\\'';\n    return ctx.stylize(simple, 'string');\n  }\n  if (isNumber(value))\n    return ctx.stylize('' + value, 'number');\n  if (isBoolean(value))\n    return ctx.stylize('' + value, 'boolean');\n  // For some reason typeof null is \"object\", so special case here.\n  if (isNull(value))\n    return ctx.stylize('null', 'null');\n}\n\n\nfunction formatError(value) {\n  return '[' + Error.prototype.toString.call(value) + ']';\n}\n\n\nfunction formatArray(ctx, value, recurseTimes, visibleKeys, keys) {\n  var output = [];\n  for (var i = 0, l = value.length; i < l; ++i) {\n    if (hasOwnProperty(value, String(i))) {\n      output.push(formatProperty(ctx, value, recurseTimes, visibleKeys,\n          String(i), true));\n    } else {\n      output.push('');\n    }\n  }\n  keys.forEach(function(key) {\n    if (!key.match(/^\\d+$/)) {\n      output.push(formatProperty(ctx, value, recurseTimes, visibleKeys,\n          key, true));\n    }\n  });\n  return output;\n}\n\n\nfunction formatProperty(ctx, value, recurseTimes, visibleKeys, key, array) {\n  var name, str, desc;\n  desc = Object.getOwnPropertyDescriptor(value, key) || { value: value[key] };\n  if (desc.get) {\n    if (desc.set) {\n      str = ctx.stylize('[Getter/Setter]', 'special');\n    } else {\n      str = ctx.stylize('[Getter]', 'special');\n    }\n  } else {\n    if (desc.set) {\n      str = ctx.stylize('[Setter]', 'special');\n    }\n  }\n  if (!hasOwnProperty(visibleKeys, key)) {\n    name = '[' + key + ']';\n  }\n  if (!str) {\n    if (ctx.seen.indexOf(desc.value) < 0) {\n      if (isNull(recurseTimes)) {\n        str = formatValue(ctx, desc.value, null);\n      } else {\n        str = formatValue(ctx, desc.value, recurseTimes - 1);\n      }\n      if (str.indexOf('\\n') > -1) {\n        if (array) {\n          str = str.split('\\n').map(function(line) {\n            return '  ' + line;\n          }).join('\\n').substr(2);\n        } else {\n          str = '\\n' + str.split('\\n').map(function(line) {\n            return '   ' + line;\n          }).join('\\n');\n        }\n      }\n    } else {\n      str = ctx.stylize('[Circular]', 'special');\n    }\n  }\n  if (isUndefined(name)) {\n    if (array && key.match(/^\\d+$/)) {\n      return str;\n    }\n    name = JSON.stringify('' + key);\n    if (name.match(/^\"([a-zA-Z_][a-zA-Z_0-9]*)\"$/)) {\n      name = name.substr(1, name.length - 2);\n      name = ctx.stylize(name, 'name');\n    } else {\n      name = name.replace(/'/g, \"\\\\'\")\n                 .replace(/\\\\\"/g, '\"')\n                 .replace(/(^\"|\"$)/g, \"'\");\n      name = ctx.stylize(name, 'string');\n    }\n  }\n\n  return name + ': ' + str;\n}\n\n\nfunction reduceToSingleString(output, base, braces) {\n  var numLinesEst = 0;\n  var length = output.reduce(function(prev, cur) {\n    numLinesEst++;\n    if (cur.indexOf('\\n') >= 0) numLinesEst++;\n    return prev + cur.replace(/\\u001b\\[\\d\\d?m/g, '').length + 1;\n  }, 0);\n\n  if (length > 60) {\n    return braces[0] +\n           (base === '' ? '' : base + '\\n ') +\n           ' ' +\n           output.join(',\\n  ') +\n           ' ' +\n           braces[1];\n  }\n\n  return braces[0] + base + ' ' + output.join(', ') + ' ' + braces[1];\n}\n\n\n// NOTE: These type checking functions intentionally don't use `instanceof`\n// because it is fragile and can be easily faked with `Object.create()`.\nfunction isArray(ar) {\n  return Array.isArray(ar);\n}\nexports.isArray = isArray;\n\nfunction isBoolean(arg) {\n  return typeof arg === 'boolean';\n}\nexports.isBoolean = isBoolean;\n\nfunction isNull(arg) {\n  return arg === null;\n}\nexports.isNull = isNull;\n\nfunction isNullOrUndefined(arg) {\n  return arg == null;\n}\nexports.isNullOrUndefined = isNullOrUndefined;\n\nfunction isNumber(arg) {\n  return typeof arg === 'number';\n}\nexports.isNumber = isNumber;\n\nfunction isString(arg) {\n  return typeof arg === 'string';\n}\nexports.isString = isString;\n\nfunction isSymbol(arg) {\n  return typeof arg === 'symbol';\n}\nexports.isSymbol = isSymbol;\n\nfunction isUndefined(arg) {\n  return arg === void 0;\n}\nexports.isUndefined = isUndefined;\n\nfunction isRegExp(re) {\n  return isObject(re) && objectToString(re) === '[object RegExp]';\n}\nexports.isRegExp = isRegExp;\n\nfunction isObject(arg) {\n  return typeof arg === 'object' && arg !== null;\n}\nexports.isObject = isObject;\n\nfunction isDate(d) {\n  return isObject(d) && objectToString(d) === '[object Date]';\n}\nexports.isDate = isDate;\n\nfunction isError(e) {\n  return isObject(e) &&\n      (objectToString(e) === '[object Error]' || e instanceof Error);\n}\nexports.isError = isError;\n\nfunction isFunction(arg) {\n  return typeof arg === 'function';\n}\nexports.isFunction = isFunction;\n\nfunction isPrimitive(arg) {\n  return arg === null ||\n         typeof arg === 'boolean' ||\n         typeof arg === 'number' ||\n         typeof arg === 'string' ||\n         typeof arg === 'symbol' ||  // ES6 symbol\n         typeof arg === 'undefined';\n}\nexports.isPrimitive = isPrimitive;\n\nexports.isBuffer = require('./support/isBuffer');\n\nfunction objectToString(o) {\n  return Object.prototype.toString.call(o);\n}\n\n\nfunction pad(n) {\n  return n < 10 ? '0' + n.toString(10) : n.toString(10);\n}\n\n\nvar months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep',\n              'Oct', 'Nov', 'Dec'];\n\n// 26 Feb 16:19:34\nfunction timestamp() {\n  var d = new Date();\n  var time = [pad(d.getHours()),\n              pad(d.getMinutes()),\n              pad(d.getSeconds())].join(':');\n  return [d.getDate(), months[d.getMonth()], time].join(' ');\n}\n\n\n// log is just a thin wrapper to console.log that prepends a timestamp\nexports.log = function() {\n  console.log('%s - %s', timestamp(), exports.format.apply(exports, arguments));\n};\n\n\n/**\n * Inherit the prototype methods from one constructor into another.\n *\n * The Function.prototype.inherits from lang.js rewritten as a standalone\n * function (not on Function.prototype). NOTE: If this file is to be loaded\n * during bootstrapping this function needs to be rewritten using some native\n * functions as prototype setup using normal JavaScript does not work as\n * expected during bootstrapping (see mirror.js in r114903).\n *\n * @param {function} ctor Constructor function which needs to inherit the\n *     prototype.\n * @param {function} superCtor Constructor function to inherit prototype from.\n */\nexports.inherits = require('inherits');\n\nexports._extend = function(origin, add) {\n  // Don't do anything if add isn't an object\n  if (!add || !isObject(add)) return origin;\n\n  var keys = Object.keys(add);\n  var i = keys.length;\n  while (i--) {\n    origin[keys[i]] = add[keys[i]];\n  }\n  return origin;\n};\n\nfunction hasOwnProperty(obj, prop) {\n  return Object.prototype.hasOwnProperty.call(obj, prop);\n}\n\nvar kCustomPromisifiedSymbol = typeof Symbol !== 'undefined' ? Symbol('util.promisify.custom') : undefined;\n\nexports.promisify = function promisify(original) {\n  if (typeof original !== 'function')\n    throw new TypeError('The \"original\" argument must be of type Function');\n\n  if (kCustomPromisifiedSymbol && original[kCustomPromisifiedSymbol]) {\n    var fn = original[kCustomPromisifiedSymbol];\n    if (typeof fn !== 'function') {\n      throw new TypeError('The \"util.promisify.custom\" argument must be of type Function');\n    }\n    Object.defineProperty(fn, kCustomPromisifiedSymbol, {\n      value: fn, enumerable: false, writable: false, configurable: true\n    });\n    return fn;\n  }\n\n  function fn() {\n    var promiseResolve, promiseReject;\n    var promise = new Promise(function (resolve, reject) {\n      promiseResolve = resolve;\n      promiseReject = reject;\n    });\n\n    var args = [];\n    for (var i = 0; i < arguments.length; i++) {\n      args.push(arguments[i]);\n    }\n    args.push(function (err, value) {\n      if (err) {\n        promiseReject(err);\n      } else {\n        promiseResolve(value);\n      }\n    });\n\n    try {\n      original.apply(this, args);\n    } catch (err) {\n      promiseReject(err);\n    }\n\n    return promise;\n  }\n\n  Object.setPrototypeOf(fn, Object.getPrototypeOf(original));\n\n  if (kCustomPromisifiedSymbol) Object.defineProperty(fn, kCustomPromisifiedSymbol, {\n    value: fn, enumerable: false, writable: false, configurable: true\n  });\n  return Object.defineProperties(\n    fn,\n    getOwnPropertyDescriptors(original)\n  );\n}\n\nexports.promisify.custom = kCustomPromisifiedSymbol\n\nfunction callbackifyOnRejected(reason, cb) {\n  // `!reason` guard inspired by bluebird (Ref: https://goo.gl/t5IS6M).\n  // Because `null` is a special error value in callbacks which means \"no error\n  // occurred\", we error-wrap so the callback consumer can distinguish between\n  // \"the promise rejected with null\" or \"the promise fulfilled with undefined\".\n  if (!reason) {\n    var newReason = new Error('Promise was rejected with a falsy value');\n    newReason.reason = reason;\n    reason = newReason;\n  }\n  return cb(reason);\n}\n\nfunction callbackify(original) {\n  if (typeof original !== 'function') {\n    throw new TypeError('The \"original\" argument must be of type Function');\n  }\n\n  // We DO NOT return the promise as it gives the user a false sense that\n  // the promise is actually somehow related to the callback's execution\n  // and that the callback throwing will reject the promise.\n  function callbackified() {\n    var args = [];\n    for (var i = 0; i < arguments.length; i++) {\n      args.push(arguments[i]);\n    }\n\n    var maybeCb = args.pop();\n    if (typeof maybeCb !== 'function') {\n      throw new TypeError('The last argument must be of type Function');\n    }\n    var self = this;\n    var cb = function() {\n      return maybeCb.apply(self, arguments);\n    };\n    // In true node style we process the callback on `nextTick` with all the\n    // implications (stack, `uncaughtException`, `async_hooks`)\n    original.apply(this, args)\n      .then(function(ret) { process.nextTick(cb, null, ret) },\n            function(rej) { process.nextTick(callbackifyOnRejected, rej, cb) });\n  }\n\n  Object.setPrototypeOf(callbackified, Object.getPrototypeOf(original));\n  Object.defineProperties(callbackified,\n                          getOwnPropertyDescriptors(original));\n  return callbackified;\n}\nexports.callbackify = callbackify;\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tf from '@tensorflow/tfjs';\nimport {promisify} from 'util';\n\nimport {RawAudioData} from './types';\n\nexport async function loadMetadataJson(url: string):\n    Promise<{wordLabels: string[]}> {\n  const HTTP_SCHEME = 'http://';\n  const HTTPS_SCHEME = 'https://';\n  const FILE_SCHEME = 'file://';\n  if (url.indexOf(HTTP_SCHEME) === 0 || url.indexOf(HTTPS_SCHEME) === 0) {\n    const response = await fetch(url);\n    const parsed = await response.json();\n    return parsed;\n  } else if (url.indexOf(FILE_SCHEME) === 0) {\n    // tslint:disable-next-line:no-require-imports\n    const fs = require('fs');\n    const readFile = promisify(fs.readFile);\n\n    return JSON.parse(\n        await readFile(url.slice(FILE_SCHEME.length), {encoding: 'utf-8'}));\n  } else {\n    throw new Error(\n        `Unsupported URL scheme in metadata URL: ${url}. ` +\n        `Supported schemes are: http://, https://, and ` +\n        `(node.js-only) file://`);\n  }\n}\n\nlet EPSILON: number = null;\n\n/**\n * Normalize the input into zero mean and unit standard deviation.\n *\n * This function is safe against divison-by-zero: In case the standard\n * deviation is zero, the output will be all-zero.\n *\n * @param x Input tensor.\n * @param y Output normalized tensor.\n */\nexport function normalize(x: tf.Tensor): tf.Tensor {\n  if (EPSILON == null) {\n    EPSILON = tf.backend().epsilon();\n  }\n  return tf.tidy(() => {\n    const {mean, variance} = tf.moments(x);\n    // Add an EPSILON to the denominator to prevent division-by-zero.\n    return x.sub(mean).div(variance.sqrt().add(EPSILON));\n  });\n}\n\n/**\n * Z-Normalize the elements of a Float32Array.\n *\n * Subtract the mean and divide the result by the standard deviation.\n *\n * @param x The Float32Array to normalize.\n * @return Noramlzied Float32Array.\n */\nexport function normalizeFloat32Array(x: Float32Array): Float32Array {\n  if (x.length < 2) {\n    throw new Error(\n        'Cannot normalize a Float32Array with fewer than 2 elements.');\n  }\n  if (EPSILON == null) {\n    EPSILON = tf.backend().epsilon();\n  }\n  return tf.tidy(() => {\n    const {mean, variance} = tf.moments(tf.tensor1d(x));\n    const meanVal = mean.arraySync() as number;\n    const stdVal = Math.sqrt(variance.arraySync() as number);\n    const yArray = Array.from(x).map(y => (y - meanVal) / (stdVal + EPSILON));\n    return new Float32Array(yArray);\n  });\n}\n\nexport function getAudioContextConstructor(): AudioContext {\n  // tslint:disable-next-line:no-any\n  return (window as any).AudioContext || (window as any).webkitAudioContext;\n}\n\nexport async function getAudioMediaStream(\n    audioTrackConstraints?: MediaTrackConstraints): Promise<MediaStream> {\n  return navigator.mediaDevices.getUserMedia({\n    audio: audioTrackConstraints == null ? true : audioTrackConstraints,\n    video: false\n  });\n}\n\n/**\n * Play raw audio waveform\n * @param rawAudio Raw audio data, including the waveform and the sampling rate.\n * @param onEnded Callback function to execute when the playing ends.\n */\nexport function playRawAudio(\n    rawAudio: RawAudioData, onEnded: () => void|Promise<void>): void {\n  const audioContextConstructor =\n      // tslint:disable-next-line:no-any\n      (window as any).AudioContext || (window as any).webkitAudioContext;\n  const audioContext: AudioContext = new audioContextConstructor();\n  const arrayBuffer =\n      audioContext.createBuffer(1, rawAudio.data.length, rawAudio.sampleRateHz);\n  const nowBuffering = arrayBuffer.getChannelData(0);\n  nowBuffering.set(rawAudio.data);\n  const source = audioContext.createBufferSource();\n  source.buffer = arrayBuffer;\n  source.connect(audioContext.destination);\n  source.start();\n  source.onended = () => {\n    if (onEnded != null) {\n      onEnded();\n    }\n  };\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Audio FFT Feature Extractor based on Browser-Native FFT.\n */\n\nimport * as tf from '@tensorflow/tfjs';\n\nimport {getAudioContextConstructor, getAudioMediaStream} from './browser_fft_utils';\nimport {FeatureExtractor, RecognizerParams} from './types';\n\nexport type SpectrogramCallback = (freqData: tf.Tensor, timeData?: tf.Tensor) =>\n    Promise<boolean>;\n\n/**\n * Configurations for constructing BrowserFftFeatureExtractor.\n */\nexport interface BrowserFftFeatureExtractorConfig extends RecognizerParams {\n  /**\n   * Number of audio frames (i.e., frequency columns) per spectrogram.\n   */\n  numFramesPerSpectrogram: number;\n\n  /**\n   * Suppression period in milliseconds.\n   *\n   * How much time to rest (not call the spectrogramCallback) every time\n   * a word with probability score above threshold is recognized.\n   */\n  suppressionTimeMillis: number;\n\n  /**\n   * A callback that is invoked every time a full spectrogram becomes\n   * available.\n   *\n   * `x` is a single-example tf.Tensor instance that includes the batch\n   * dimension.\n   * The return value is assumed to be whether a flag for whether the\n   * suppression period should initiate, e.g., when a word is recognized.\n   */\n  spectrogramCallback: SpectrogramCallback;\n\n  /**\n   * Truncate each spectrogram column at how many frequency points.\n   *\n   * If `null` or `undefined`, will do no truncation.\n   */\n  columnTruncateLength?: number;\n\n  /**\n   * Overlap factor. Must be >=0 and <1.\n   * For example, if the model takes a frame length of 1000 ms,\n   * and if overlap factor is 0.4, there will be a 400ms\n   * overlap between two successive frames, i.e., frames\n   * will be taken every 600 ms.\n   */\n  overlapFactor: number;\n\n  /**\n   * Whether to collect the raw time-domain audio waveform in addition to the\n   * spectrogram.\n   *\n   * Default: `false`.\n   */\n  includeRawAudio?: boolean;\n}\n\n/**\n * Audio feature extractor based on Browser-native FFT.\n *\n * Uses AudioContext and analyser node.\n */\nexport class BrowserFftFeatureExtractor implements FeatureExtractor {\n  // Number of frames (i.e., columns) per spectrogram used for classification.\n  readonly numFrames: number;\n\n  // Audio sampling rate in Hz.\n  readonly sampleRateHz: number;\n\n  // The FFT length for each spectrogram column.\n  readonly fftSize: number;\n\n  // Truncation length for spectrogram columns.\n  readonly columnTruncateLength: number;\n\n  // Overlapping factor: the ratio between the temporal spacing between\n  // consecutive spectrograms and the length of each individual spectrogram.\n  readonly overlapFactor: number;\n  readonly includeRawAudio: boolean;\n\n  private readonly spectrogramCallback: SpectrogramCallback;\n\n  private stream: MediaStream;\n  // tslint:disable-next-line:no-any\n  private audioContextConstructor: any;\n  private audioContext: AudioContext;\n  private analyser: AnalyserNode;\n  private tracker: Tracker;\n  private freqData: Float32Array;\n  private timeData: Float32Array;\n  private freqDataQueue: Float32Array[];\n  private timeDataQueue: Float32Array[];\n  // tslint:disable-next-line:no-any\n  private frameIntervalTask: any;\n  private frameDurationMillis: number;\n\n  private suppressionTimeMillis: number;\n\n  /**\n   * Constructor of BrowserFftFeatureExtractor.\n   *\n   * @param config Required configuration object.\n   */\n  constructor(config: BrowserFftFeatureExtractorConfig) {\n    if (config == null) {\n      throw new Error(\n          `Required configuration object is missing for ` +\n          `BrowserFftFeatureExtractor constructor`);\n    }\n\n    if (config.spectrogramCallback == null) {\n      throw new Error(`spectrogramCallback cannot be null or undefined`);\n    }\n\n    if (!(config.numFramesPerSpectrogram > 0)) {\n      throw new Error(\n          `Invalid value in numFramesPerSpectrogram: ` +\n          `${config.numFramesPerSpectrogram}`);\n    }\n\n    if (config.suppressionTimeMillis < 0) {\n      throw new Error(\n          `Expected suppressionTimeMillis to be >= 0, ` +\n          `but got ${config.suppressionTimeMillis}`);\n    }\n    this.suppressionTimeMillis = config.suppressionTimeMillis;\n\n    this.spectrogramCallback = config.spectrogramCallback;\n    this.numFrames = config.numFramesPerSpectrogram;\n    this.sampleRateHz = config.sampleRateHz || 44100;\n    this.fftSize = config.fftSize || 1024;\n    this.frameDurationMillis = this.fftSize / this.sampleRateHz * 1e3;\n    this.columnTruncateLength = config.columnTruncateLength || this.fftSize;\n    this.overlapFactor = config.overlapFactor;\n    this.includeRawAudio = config.includeRawAudio;\n\n    tf.util.assert(\n        this.overlapFactor >= 0 && this.overlapFactor < 1,\n        () => `Expected overlapFactor to be >= 0 and < 1, ` +\n            `but got ${this.overlapFactor}`);\n\n    if (this.columnTruncateLength > this.fftSize) {\n      throw new Error(\n          `columnTruncateLength ${this.columnTruncateLength} exceeds ` +\n          `fftSize (${this.fftSize}).`);\n    }\n\n    this.audioContextConstructor = getAudioContextConstructor();\n  }\n\n  async start(audioTrackConstraints?: MediaTrackConstraints):\n      Promise<Float32Array[]|void> {\n    if (this.frameIntervalTask != null) {\n      throw new Error(\n          'Cannot start already-started BrowserFftFeatureExtractor');\n    }\n\n    this.stream = await getAudioMediaStream(audioTrackConstraints);\n\n    this.audioContext = new this.audioContextConstructor() as AudioContext;\n    if (this.audioContext.sampleRate !== this.sampleRateHz) {\n      console.warn(\n          `Mismatch in sampling rate: ` +\n          `Expected: ${this.sampleRateHz}; ` +\n          `Actual: ${this.audioContext.sampleRate}`);\n    }\n    const streamSource = this.audioContext.createMediaStreamSource(this.stream);\n    this.analyser = this.audioContext.createAnalyser();\n    this.analyser.fftSize = this.fftSize * 2;\n    this.analyser.smoothingTimeConstant = 0.0;\n    streamSource.connect(this.analyser);\n    // Reset the queue.\n    this.freqDataQueue = [];\n    this.freqData = new Float32Array(this.fftSize);\n    if (this.includeRawAudio) {\n      this.timeDataQueue = [];\n      this.timeData = new Float32Array(this.fftSize);\n    }\n    const period =\n        Math.max(1, Math.round(this.numFrames * (1 - this.overlapFactor)));\n    this.tracker = new Tracker(\n        period,\n        Math.round(this.suppressionTimeMillis / this.frameDurationMillis));\n    this.frameIntervalTask = setInterval(\n        this.onAudioFrame.bind(this), this.fftSize / this.sampleRateHz * 1e3);\n  }\n\n  private async onAudioFrame() {\n    this.analyser.getFloatFrequencyData(this.freqData);\n    if (this.freqData[0] === -Infinity) {\n      return;\n    }\n\n    this.freqDataQueue.push(this.freqData.slice(0, this.columnTruncateLength));\n    if (this.includeRawAudio) {\n      this.analyser.getFloatTimeDomainData(this.timeData);\n      this.timeDataQueue.push(this.timeData.slice());\n    }\n    if (this.freqDataQueue.length > this.numFrames) {\n      // Drop the oldest frame (least recent).\n      this.freqDataQueue.shift();\n    }\n    const shouldFire = this.tracker.tick();\n    if (shouldFire) {\n      const freqData = flattenQueue(this.freqDataQueue);\n      const freqDataTensor = getInputTensorFromFrequencyData(\n          freqData, [1, this.numFrames, this.columnTruncateLength, 1]);\n      let timeDataTensor: tf.Tensor;\n      if (this.includeRawAudio) {\n        const timeData = flattenQueue(this.timeDataQueue);\n        timeDataTensor = getInputTensorFromFrequencyData(\n            timeData, [1, this.numFrames * this.fftSize]);\n      }\n      const shouldRest =\n          await this.spectrogramCallback(freqDataTensor, timeDataTensor);\n      if (shouldRest) {\n        this.tracker.suppress();\n      }\n      tf.dispose([freqDataTensor, timeDataTensor]);\n    }\n  }\n\n  async stop(): Promise<void> {\n    if (this.frameIntervalTask == null) {\n      throw new Error(\n          'Cannot stop because there is no ongoing streaming activity.');\n    }\n    clearInterval(this.frameIntervalTask);\n    this.frameIntervalTask = null;\n    this.analyser.disconnect();\n    this.audioContext.close();\n    if (this.stream != null && this.stream.getTracks().length > 0) {\n      this.stream.getTracks()[0].stop();\n    }\n  }\n\n  setConfig(params: RecognizerParams) {\n    throw new Error(\n        'setConfig() is not implemented for BrowserFftFeatureExtractor.');\n  }\n\n  getFeatures(): Float32Array[] {\n    throw new Error(\n        'getFeatures() is not implemented for ' +\n        'BrowserFftFeatureExtractor. Use the spectrogramCallback ' +\n        'field of the constructor config instead.');\n  }\n}\n\nexport function flattenQueue(queue: Float32Array[]): Float32Array {\n  const frameSize = queue[0].length;\n  const freqData = new Float32Array(queue.length * frameSize);\n  queue.forEach((data, i) => freqData.set(data, i * frameSize));\n  return freqData;\n}\n\nexport function getInputTensorFromFrequencyData(\n    freqData: Float32Array, shape: number[]): tf.Tensor {\n  const vals = new Float32Array(tf.util.sizeFromShape(shape));\n  // If the data is less than the output shape, the rest is padded with zeros.\n  vals.set(freqData, vals.length - freqData.length);\n  return tf.tensor(vals, shape);\n}\n\n/**\n * A class that manages the firing of events based on periods\n * and suppression time.\n */\nexport class Tracker {\n  readonly period: number;\n  readonly suppressionTime: number;\n\n  private counter: number;\n  private suppressionOnset: number;\n\n  /**\n   * Constructor of Tracker.\n   *\n   * @param period The event-firing period, in number of frames.\n   * @param suppressionPeriod The suppression period, in number of frames.\n   */\n  constructor(period: number, suppressionPeriod: number) {\n    this.period = period;\n    this.suppressionTime = suppressionPeriod == null ? 0 : suppressionPeriod;\n    this.counter = 0;\n\n    tf.util.assert(\n        this.period > 0,\n        () => `Expected period to be positive, but got ${this.period}`);\n  }\n\n  /**\n   * Mark a frame.\n   *\n   * @returns Whether the event should be fired at the current frame.\n   */\n  tick(): boolean {\n    this.counter++;\n    const shouldFire = (this.counter % this.period === 0) &&\n        (this.suppressionOnset == null ||\n         this.counter - this.suppressionOnset > this.suppressionTime);\n    return shouldFire;\n  }\n\n  /**\n   * Order the beginning of a supression period.\n   */\n  suppress() {\n    this.suppressionOnset = this.counter;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Concatenate a number of ArrayBuffers into one.\n *\n * @param buffers A number of array buffers to concatenate.\n * @returns Result of concatenating `buffers` in order.\n */\nexport function concatenateArrayBuffers(buffers: ArrayBuffer[]): ArrayBuffer {\n  let totalByteLength = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    totalByteLength += buffer.byteLength;\n  });\n\n  const temp = new Uint8Array(totalByteLength);\n  let offset = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    temp.set(new Uint8Array(buffer), offset);\n    offset += buffer.byteLength;\n  });\n  return temp.buffer;\n}\n\n/**\n * Concatenate Float32Arrays.\n *\n * @param xs Float32Arrays to concatenate.\n * @return The result of the concatenation.\n */\nexport function concatenateFloat32Arrays(xs: Float32Array[]): Float32Array {\n  let totalLength = 0;\n  xs.forEach(x => totalLength += x.length);\n  const concatenated = new Float32Array(totalLength);\n  let index = 0;\n  xs.forEach(x => {\n    concatenated.set(x, index);\n    index += x.length;\n  });\n  return concatenated;\n}\n\n/** Encode a string as an ArrayBuffer. */\nexport function string2ArrayBuffer(str: string): ArrayBuffer {\n  if (str == null) {\n    throw new Error('Received null or undefind string');\n  }\n  // NOTE(cais): This implementation is inefficient in terms of memory.\n  // But it works for UTF-8 strings. Just don't use on for very long strings.\n  const strUTF8 = unescape(encodeURIComponent(str));\n  const buf = new Uint8Array(strUTF8.length);\n  for (let i = 0; i < strUTF8.length; ++i) {\n    buf[i] = strUTF8.charCodeAt(i);\n  }\n  return buf.buffer;\n}\n\n/** Decode an ArrayBuffer as a string. */\nexport function arrayBuffer2String(buffer: ArrayBuffer): string {\n  if (buffer == null) {\n    throw new Error('Received null or undefind buffer');\n  }\n  const buf = new Uint8Array(buffer);\n  return decodeURIComponent(escape(String.fromCharCode(...buf)));\n}\n\n/** Generate a pseudo-random UID. */\nexport function getUID(): string {\n  function s4() {\n    return Math.floor((1 + Math.random()) * 0x10000).toString(16).substring(1);\n  }\n  return s4() + s4() + '-' + s4() + '-' + s4() + '-' + s4() + '-' + s4() +\n      s4() + s4();\n}\n\nexport function getRandomInteger(min: number, max: number): number {\n  return Math.floor((max - min) * Math.random()) + min;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Utility functions for training and transfer learning of the speech-commands\n * model.\n */\n\nimport * as tf from '@tensorflow/tfjs';\n\n/**\n * Split feature and target tensors into train and validation (val) splits.\n *\n * Given sufficent number of examples, the train and val sets will be\n * balanced with respect to the classes.\n *\n * @param xs Features tensor, of shape [numExamples, ...].\n * @param ys Targets tensors, of shape [numExamples, numClasses]. Assumed to be\n *   one-hot categorical encoding.\n * @param valSplit A number > 0 and < 1, fraction of examples to use\n *   as the validation set.\n * @returns trainXs: training features tensor; trainYs: training targets\n *   tensor; valXs: validation features tensor; valYs: validation targets\n *   tensor.\n */\nexport function balancedTrainValSplit(\n    xs: tf.Tensor, ys: tf.Tensor, valSplit: number): {\n  trainXs: tf.Tensor,\n  trainYs: tf.Tensor,\n  valXs: tf.Tensor,\n  valYs: tf.Tensor\n} {\n  tf.util.assert(\n      valSplit > 0 && valSplit < 1,\n      () => `validationSplit is expected to be >0 and <1, ` +\n          `but got ${valSplit}`);\n\n  return tf.tidy(() => {\n    const classIndices = ys.argMax(-1).dataSync();\n\n    const indicesByClasses: number[][] = [];\n    for (let i = 0; i < classIndices.length; ++i) {\n      const classIndex = classIndices[i];\n      if (indicesByClasses[classIndex] == null) {\n        indicesByClasses[classIndex] = [];\n      }\n      indicesByClasses[classIndex].push(i);\n    }\n    const numClasses = indicesByClasses.length;\n\n    const trainIndices: number[] = [];\n    const valIndices: number[] = [];\n\n    // Randomly shuffle the list of indices in each array.\n    indicesByClasses.map(classIndices => tf.util.shuffle(classIndices));\n    for (let i = 0; i < numClasses; ++i) {\n      const classIndices = indicesByClasses[i];\n      const cutoff = Math.round(classIndices.length * (1 - valSplit));\n      for (let j = 0; j < classIndices.length; ++j) {\n        if (j < cutoff) {\n          trainIndices.push(classIndices[j]);\n        } else {\n          valIndices.push(classIndices[j]);\n        }\n      }\n    }\n\n    const trainXs = tf.gather(xs, trainIndices);\n    const trainYs = tf.gather(ys, trainIndices);\n    const valXs = tf.gather(xs, valIndices);\n    const valYs = tf.gather(ys, valIndices);\n    return {trainXs, trainYs, valXs, valYs};\n  });\n}\n\n/**\n * Same as balancedTrainValSplit, but for number arrays or Float32Arrays.\n */\nexport function balancedTrainValSplitNumArrays(\n    xs: number[][]|Float32Array[], ys: number[], valSplit: number): {\n  trainXs: number[][]|Float32Array[],\n  trainYs: number[],\n  valXs: number[][]|Float32Array[],\n  valYs: number[]\n} {\n  tf.util.assert(\n      valSplit > 0 && valSplit < 1,\n      () => `validationSplit is expected to be >0 and <1, ` +\n          `but got ${valSplit}`);\n  const isXsFloat32Array = !Array.isArray(xs[0]);\n\n  const classIndices = ys;\n\n  const indicesByClasses: number[][] = [];\n  for (let i = 0; i < classIndices.length; ++i) {\n    const classIndex = classIndices[i];\n    if (indicesByClasses[classIndex] == null) {\n      indicesByClasses[classIndex] = [];\n    }\n    indicesByClasses[classIndex].push(i);\n  }\n  const numClasses = indicesByClasses.length;\n\n  const trainIndices: number[] = [];\n  const valIndices: number[] = [];\n\n  // Randomly shuffle the list of indices in each array.\n  indicesByClasses.map(classIndices => tf.util.shuffle(classIndices));\n  for (let i = 0; i < numClasses; ++i) {\n    const classIndices = indicesByClasses[i];\n    const cutoff = Math.round(classIndices.length * (1 - valSplit));\n    for (let j = 0; j < classIndices.length; ++j) {\n      if (j < cutoff) {\n        trainIndices.push(classIndices[j]);\n      } else {\n        valIndices.push(classIndices[j]);\n      }\n    }\n  }\n\n  if (isXsFloat32Array) {\n    const trainXs: Float32Array[] = [];\n    const trainYs: number[] = [];\n    const valXs: Float32Array[] = [];\n    const valYs: number[] = [];\n    for (const index of trainIndices) {\n      trainXs.push(xs[index] as Float32Array);\n      trainYs.push(ys[index]);\n    }\n    for (const index of valIndices) {\n      valXs.push(xs[index] as Float32Array);\n      valYs.push(ys[index]);\n    }\n    return {trainXs, trainYs, valXs, valYs};\n  } else {\n    const trainXs: number[][] = [];\n    const trainYs: number[] = [];\n    const valXs: number[][] = [];\n    const valYs: number[] = [];\n    for (const index of trainIndices) {\n      trainXs.push(xs[index] as number[]);\n      trainYs.push(ys[index]);\n    }\n    for (const index of valIndices) {\n      valXs.push(xs[index] as number[]);\n      valYs.push(ys[index]);\n    }\n    return {trainXs, trainYs, valXs, valYs};\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tf from '@tensorflow/tfjs';\n\nimport {BrowserFftFeatureExtractor, SpectrogramCallback} from './browser_fft_extractor';\nimport {loadMetadataJson, normalize, normalizeFloat32Array} from './browser_fft_utils';\nimport {BACKGROUND_NOISE_TAG, Dataset} from './dataset';\nimport {concatenateFloat32Arrays} from './generic_utils';\nimport {balancedTrainValSplit} from './training_utils';\nimport {AudioDataAugmentationOptions, EvaluateConfig, EvaluateResult, Example, ExampleCollectionOptions, RecognizeConfig, RecognizerCallback, RecognizerParams, ROCCurve, SpectrogramData, SpeechCommandRecognizer, SpeechCommandRecognizerMetadata, SpeechCommandRecognizerResult, StreamingRecognitionConfig, TransferLearnConfig, TransferSpeechCommandRecognizer} from './types';\nimport {version} from './version';\n\nexport const UNKNOWN_TAG = '_unknown_';\n\n// Key to the local-storage item that holds a map from model name to word\n// list.\nexport const SAVED_MODEL_METADATA_KEY =\n    'tfjs-speech-commands-saved-model-metadata';\nexport const SAVE_PATH_PREFIX = 'indexeddb://tfjs-speech-commands-model/';\n\n// Export a variable for injection during unit testing.\n// tslint:disable-next-line:no-any\nexport let localStorageWrapper = {\n  localStorage: typeof window === 'undefined' ? null : window.localStorage\n};\n\nexport function getMajorAndMinorVersion(version: string) {\n  const versionItems = version.split('.');\n  return versionItems.slice(0, 2).join('.');\n}\n\n/**\n * Default window hop ratio used for extracting multiple\n * windows from a long spectrogram.\n */\nconst DEFAULT_WINDOW_HOP_RATIO = 0.25;\n\n/**\n * Speech-Command Recognizer using browser-native (WebAudio) spectral featutres.\n */\nexport class BrowserFftSpeechCommandRecognizer implements\n    SpeechCommandRecognizer {\n  static readonly VALID_VOCABULARY_NAMES: string[] = ['18w', 'directional4w'];\n  static readonly DEFAULT_VOCABULARY_NAME = '18w';\n\n  readonly MODEL_URL_PREFIX =\n      `https://storage.googleapis.com/tfjs-models/tfjs/speech-commands/v${\n          getMajorAndMinorVersion(version)}/browser_fft`;\n\n  private readonly SAMPLE_RATE_HZ = 44100;\n  private readonly FFT_SIZE = 1024;\n  private readonly DEFAULT_SUPPRESSION_TIME_MILLIS = 0;\n\n  model: tf.LayersModel;\n  modelWithEmbeddingOutput: tf.LayersModel;\n  readonly vocabulary: string;\n  readonly parameters: RecognizerParams;\n  protected words: string[];\n\n  protected streaming = false;\n\n  protected nonBatchInputShape: [number, number, number];\n  private elementsPerExample: number;\n  protected audioDataExtractor: BrowserFftFeatureExtractor;\n\n  private transferRecognizers:\n      {[name: string]: TransferBrowserFftSpeechCommandRecognizer} = {};\n\n  private modelArtifactsOrURL: tf.io.ModelArtifacts|string;\n  private metadataOrURL: SpeechCommandRecognizerMetadata|string;\n\n  // The second-last dense layer in the base model.\n  // To be used for unfreezing during fine-tuning.\n  protected secondLastBaseDenseLayer: tf.layers.Layer;\n\n  /**\n   * Constructor of BrowserFftSpeechCommandRecognizer.\n   *\n   * @param vocabulary An optional vocabulary specifier. Mutually exclusive\n   *   with `modelURL` and `metadataURL`.\n   * @param modelArtifactsOrURL An optional, custom model URL pointing to a\n   *     model.json, or modelArtifacts in the format of `tf.io.ModelArtifacts`.\n   *   file. Supported schemes: http://, https://, and node.js-only: file://.\n   *   Mutually exclusive with `vocabulary`. If provided, `metadatURL`\n   *   most also be provided.\n   * @param metadataOrURL A custom metadata URL pointing to a metadata.json\n   *   file. Or it can be a metadata JSON object itself. Must be provided\n   *   together with `modelArtifactsOrURL`.\n   */\n  constructor(\n      vocabulary?: string, modelArtifactsOrURL?: tf.io.ModelArtifacts|string,\n      metadataOrURL?: SpeechCommandRecognizerMetadata|string) {\n    // TODO(cais): Consolidate the fields into a single config object when\n    // upgrading to v1.0.\n    tf.util.assert(\n        modelArtifactsOrURL == null && metadataOrURL == null ||\n            modelArtifactsOrURL != null && metadataOrURL != null,\n        () => `modelURL and metadataURL must be both provided or ` +\n            `both not provided.`);\n    if (modelArtifactsOrURL == null) {\n      if (vocabulary == null) {\n        vocabulary = BrowserFftSpeechCommandRecognizer.DEFAULT_VOCABULARY_NAME;\n      } else {\n        tf.util.assert(\n            BrowserFftSpeechCommandRecognizer.VALID_VOCABULARY_NAMES.indexOf(\n                vocabulary) !== -1,\n            () => `Invalid vocabulary name: '${vocabulary}'`);\n      }\n      this.vocabulary = vocabulary;\n      this.modelArtifactsOrURL =\n          `${this.MODEL_URL_PREFIX}/${this.vocabulary}/model.json`;\n      this.metadataOrURL =\n          `${this.MODEL_URL_PREFIX}/${this.vocabulary}/metadata.json`;\n    } else {\n      tf.util.assert(\n          vocabulary == null,\n          () => `vocabulary name must be null or undefined when modelURL is ` +\n              `provided`);\n      this.modelArtifactsOrURL = modelArtifactsOrURL;\n      this.metadataOrURL = metadataOrURL;\n    }\n\n    this.parameters = {\n      sampleRateHz: this.SAMPLE_RATE_HZ,\n      fftSize: this.FFT_SIZE\n    };\n  }\n\n  /**\n   * Start streaming recognition.\n   *\n   * To stop the recognition, use `stopListening()`.\n   *\n   * Example: TODO(cais): Add exapmle code snippet.\n   *\n   * @param callback The callback invoked whenever a word is recognized\n   *   with a probability score greater than `config.probabilityThreshold`.\n   *   It has the signature:\n   *     (result: SpeechCommandRecognizerResult) => Promise<void>\n   *   wherein result has the two fields:\n   *   - scores: A Float32Array that contains the probability scores for all\n   *     the words.\n   *   - spectrogram: The spectrogram data, provided only if\n   *     `config.includeSpectrogram` is `true`.\n   * @param config The configurations for the streaming recognition to\n   *   be started.\n   *   The `modelName` field of `config` specifies the model to be used for\n   *   online recognition. If not specified, it defaults to the name of the\n   *   base model ('base'), i.e., the pretrained model not from transfer\n   *   learning. If the recognizer instance has one or more transfer-learning\n   *   models ready (as a result of calls to `collectTransferExample`\n   *   and `trainTransferModel`), you can let this call use that\n   *   model for prediction by specifying the corresponding `modelName`.\n   * @throws Error, if streaming recognition is already started or\n   *   if `config` contains invalid values.\n   */\n  async listen(\n      callback: RecognizerCallback,\n      config?: StreamingRecognitionConfig): Promise<void> {\n    if (this.streaming) {\n      throw new Error(\n          'Cannot start streaming again when streaming is ongoing.');\n    }\n\n    await this.ensureModelLoaded();\n\n    if (config == null) {\n      config = {};\n    }\n    let probabilityThreshold =\n        config.probabilityThreshold == null ? 0 : config.probabilityThreshold;\n    if (config.includeEmbedding) {\n      // Override probability threshold to 0 if includeEmbedding is true.\n      probabilityThreshold = 0;\n    }\n    tf.util.assert(\n        probabilityThreshold >= 0 && probabilityThreshold <= 1,\n        () => `Invalid probabilityThreshold value: ${probabilityThreshold}`);\n    let invokeCallbackOnNoiseAndUnknown =\n        config.invokeCallbackOnNoiseAndUnknown == null ?\n        false :\n        config.invokeCallbackOnNoiseAndUnknown;\n    if (config.includeEmbedding) {\n      // Override invokeCallbackOnNoiseAndUnknown threshold to true if\n      // includeEmbedding is true.\n      invokeCallbackOnNoiseAndUnknown = true;\n    }\n\n    if (config.suppressionTimeMillis < 0) {\n      throw new Error(\n          `suppressionTimeMillis is expected to be >= 0, ` +\n          `but got ${config.suppressionTimeMillis}`);\n    }\n\n    const overlapFactor =\n        config.overlapFactor == null ? 0.5 : config.overlapFactor;\n    tf.util.assert(\n        overlapFactor >= 0 && overlapFactor < 1,\n        () => `Expected overlapFactor to be >= 0 and < 1, but got ${\n            overlapFactor}`);\n\n    const spectrogramCallback: SpectrogramCallback =\n        async (x: tf.Tensor, timeData?: tf.Tensor) => {\n      const normalizedX = normalize(x);\n      let y: tf.Tensor;\n      let embedding: tf.Tensor;\n      if (config.includeEmbedding) {\n        await this.ensureModelWithEmbeddingOutputCreated();\n        [y, embedding] =\n            this.modelWithEmbeddingOutput.predict(normalizedX) as tf.Tensor[];\n      } else {\n        y = this.model.predict(normalizedX) as tf.Tensor;\n      }\n\n      const scores = await y.data() as Float32Array;\n      const maxIndexTensor = y.argMax(-1);\n      const maxIndex = (await maxIndexTensor.data())[0];\n      const maxScore = Math.max(...scores);\n      tf.dispose([y, maxIndexTensor, normalizedX]);\n\n      if (maxScore < probabilityThreshold) {\n        return false;\n      } else {\n        let spectrogram: SpectrogramData = undefined;\n        if (config.includeSpectrogram) {\n          spectrogram = {\n            data: await x.data() as Float32Array,\n            frameSize: this.nonBatchInputShape[1],\n          };\n        }\n\n        let wordDetected = true;\n        if (!invokeCallbackOnNoiseAndUnknown) {\n          // Skip background noise and unknown tokens.\n          if (this.words[maxIndex] === BACKGROUND_NOISE_TAG ||\n              this.words[maxIndex] === UNKNOWN_TAG) {\n            wordDetected = false;\n          }\n        }\n        if (wordDetected) {\n          callback({scores, spectrogram, embedding});\n        }\n        // Trigger suppression only if the word is neither unknown or\n        // background noise.\n        return wordDetected;\n      }\n    };\n\n    const suppressionTimeMillis = config.suppressionTimeMillis == null ?\n        this.DEFAULT_SUPPRESSION_TIME_MILLIS :\n        config.suppressionTimeMillis;\n    this.audioDataExtractor = new BrowserFftFeatureExtractor({\n      sampleRateHz: this.parameters.sampleRateHz,\n      numFramesPerSpectrogram: this.nonBatchInputShape[0],\n      columnTruncateLength: this.nonBatchInputShape[1],\n      suppressionTimeMillis,\n      spectrogramCallback,\n      overlapFactor\n    });\n\n    await this.audioDataExtractor.start(config.audioTrackConstraints);\n\n    this.streaming = true;\n  }\n\n  /**\n   * Load the underlying tf.LayersModel instance and associated metadata.\n   *\n   * If the model and the metadata are already loaded, do nothing.\n   */\n  async ensureModelLoaded() {\n    if (this.model != null) {\n      return;\n    }\n\n    await this.ensureMetadataLoaded();\n\n    let model: tf.LayersModel;\n    if (typeof this.modelArtifactsOrURL === 'string') {\n      model = await tf.loadLayersModel(this.modelArtifactsOrURL);\n    } else {\n      // this.modelArtifactsOrURL is an instance of `tf.io.ModelArtifacts`.\n      model = await tf.loadLayersModel(tf.io.fromMemory(\n          this.modelArtifactsOrURL.modelTopology,\n          this.modelArtifactsOrURL.weightSpecs,\n          this.modelArtifactsOrURL.weightData));\n    }\n\n    // Check the validity of the model's input shape.\n    if (model.inputs.length !== 1) {\n      throw new Error(\n          `Expected model to have 1 input, but got a model with ` +\n          `${model.inputs.length} inputs`);\n    }\n    if (model.inputs[0].shape.length !== 4) {\n      throw new Error(\n          `Expected model to have an input shape of rank 4, ` +\n          `but got an input shape of rank ${model.inputs[0].shape.length}`);\n    }\n    if (model.inputs[0].shape[3] !== 1) {\n      throw new Error(\n          `Expected model to have an input shape with 1 as the last ` +\n          `dimension, but got input shape` +\n          `${JSON.stringify(model.inputs[0].shape[3])}}`);\n    }\n    // Check the consistency between the word labels and the model's output\n    // shape.\n    const outputShape = model.outputShape as tf.Shape;\n    if (outputShape.length !== 2) {\n      throw new Error(\n          `Expected loaded model to have an output shape of rank 2,` +\n          `but received shape ${JSON.stringify(outputShape)}`);\n    }\n    if (outputShape[1] !== this.words.length) {\n      throw new Error(\n          `Mismatch between the last dimension of model's output shape ` +\n          `(${outputShape[1]}) and number of words ` +\n          `(${this.words.length}).`);\n    }\n\n    this.model = model;\n    this.freezeModel();\n\n    this.nonBatchInputShape =\n        model.inputs[0].shape.slice(1) as [number, number, number];\n    this.elementsPerExample = 1;\n    model.inputs[0].shape.slice(1).forEach(\n        dimSize => this.elementsPerExample *= dimSize);\n    this.warmUpModel();\n    const frameDurationMillis =\n        this.parameters.fftSize / this.parameters.sampleRateHz * 1e3;\n    const numFrames = model.inputs[0].shape[1];\n    this.parameters.spectrogramDurationMillis = numFrames * frameDurationMillis;\n  }\n\n  /**\n   * Construct a two-output model that includes the following outputs:\n   *\n   * 1. The same softmax probability output as the original model's output\n   * 2. The embedding, i.e., activation from the second-last dense layer of\n   *    the original model.\n   */\n  protected async ensureModelWithEmbeddingOutputCreated() {\n    if (this.modelWithEmbeddingOutput != null) {\n      return;\n    }\n    await this.ensureModelLoaded();\n\n    // Find the second last dense layer of the original model.\n    let secondLastDenseLayer: tf.layers.Layer;\n    for (let i = this.model.layers.length - 2; i >= 0; --i) {\n      if (this.model.layers[i].getClassName() === 'Dense') {\n        secondLastDenseLayer = this.model.layers[i];\n        break;\n      }\n    }\n    if (secondLastDenseLayer == null) {\n      throw new Error(\n          'Failed to find second last dense layer in the original model.');\n    }\n    this.modelWithEmbeddingOutput = tf.model({\n      inputs: this.model.inputs,\n      outputs: [\n        this.model.outputs[0], secondLastDenseLayer.output as tf.SymbolicTensor\n      ]\n    });\n  }\n\n  private warmUpModel() {\n    tf.tidy(() => {\n      const x = tf.zeros([1].concat(this.nonBatchInputShape));\n      for (let i = 0; i < 3; ++i) {\n        this.model.predict(x);\n      }\n    });\n  }\n\n  private async ensureMetadataLoaded() {\n    if (this.words != null) {\n      return;\n    }\n\n    const metadataJSON = typeof this.metadataOrURL === 'string' ?\n        await loadMetadataJson(this.metadataOrURL) :\n        this.metadataOrURL;\n\n    if (metadataJSON.wordLabels == null) {\n      // In some legacy formats, the field 'words', instead of 'wordLabels',\n      // was populated. This branch ensures backward compatibility with those\n      // formats.\n      // tslint:disable-next-line:no-any\n      const legacyWords = (metadataJSON as any)['words'] as string[];\n      if (legacyWords == null) {\n        throw new Error(\n            'Cannot find field \"words\" or \"wordLabels\" in metadata JSON file');\n      }\n      this.words = legacyWords;\n    } else {\n      this.words = metadataJSON.wordLabels;\n    }\n  }\n\n  /**\n   * Stop streaming recognition.\n   *\n   * @throws Error if there is not ongoing streaming recognition.\n   */\n  async stopListening(): Promise<void> {\n    if (!this.streaming) {\n      throw new Error('Cannot stop streaming when streaming is not ongoing.');\n    }\n    await this.audioDataExtractor.stop();\n    this.streaming = false;\n  }\n\n  /**\n   * Check if streaming recognition is ongoing.\n   */\n  isListening(): boolean {\n    return this.streaming;\n  }\n\n  /**\n   * Get the array of word labels.\n   *\n   * @throws Error If this model is called before the model is loaded.\n   */\n  wordLabels(): string[] {\n    return this.words;\n  }\n\n  /**\n   * Get the parameters of this instance of BrowserFftSpeechCommandRecognizer.\n   *\n   * @returns Parameters of this instance.\n   */\n  params(): RecognizerParams {\n    return this.parameters;\n  }\n\n  /**\n   * Get the input shape of the underlying tf.LayersModel.\n   *\n   * @returns The input shape.\n   */\n  modelInputShape(): tf.Shape {\n    if (this.model == null) {\n      throw new Error(\n          'Model has not been loaded yet. Load model by calling ' +\n          'ensureModelLoaded(), recognize(), or listen().');\n    }\n    return this.model.inputs[0].shape;\n  }\n\n  /**\n   * Run offline (non-streaming) recognition on a spectrogram.\n   *\n   * @param input Spectrogram. Either a `tf.Tensor` of a `Float32Array`.\n   *   - If a `tf.Tensor`, must be rank-4 and match the model's expected\n   *     input shape in 2nd dimension (# of spectrogram columns), the 3rd\n   *     dimension (# of frequency-domain points per column), and the 4th\n   *     dimension (always 1). The 1st dimension can be 1, for single-example\n   *     recogntion, or any value >1, for batched recognition.\n   *   - If a `Float32Array`, must have a length divisible by the number\n   *     of elements per spectrogram, i.e.,\n   *     (# of spectrogram columns) * (# of frequency-domain points per column).\n   * @param config Optional configuration object.\n   * @returns Result of the recognition, with the following field:\n   *   scores:\n   *   - A `Float32Array` if there is only one input exapmle.\n   *   - An `Array` of `Float32Array`, if there are multiple input examples.\n   */\n  async recognize(input?: tf.Tensor|Float32Array, config?: RecognizeConfig):\n      Promise<SpeechCommandRecognizerResult> {\n    if (config == null) {\n      config = {};\n    }\n\n    await this.ensureModelLoaded();\n\n    if (input == null) {\n      // If `input` is not provided, draw audio data from WebAudio and us it\n      // for recognition.\n      const spectrogramData = await this.recognizeOnline();\n      input = spectrogramData.data;\n    }\n\n    let numExamples: number;\n    let inputTensor: tf.Tensor;\n    let outTensor: tf.Tensor;\n    if (input instanceof tf.Tensor) {\n      // Check input shape.\n      this.checkInputTensorShape(input);\n      inputTensor = input;\n      numExamples = input.shape[0];\n    } else {\n      if (input.length % this.elementsPerExample) {\n        throw new Error(\n            `The length of the input Float32Array ${input.length} ` +\n            `is not divisible by the number of tensor elements per ` +\n            `per example expected by the model ${this.elementsPerExample}.`);\n      }\n\n      numExamples = input.length / this.elementsPerExample;\n      inputTensor = tf.tensor4d(input, [\n        numExamples\n      ].concat(this.nonBatchInputShape) as [number, number, number, number]);\n    }\n\n    const output: SpeechCommandRecognizerResult = {scores: null};\n    if (config.includeEmbedding) {\n      // Optional inclusion of embedding (internal activation).\n      await this.ensureModelWithEmbeddingOutputCreated();\n      const outAndEmbedding =\n          this.modelWithEmbeddingOutput.predict(inputTensor) as tf.Tensor[];\n      outTensor = outAndEmbedding[0];\n      output.embedding = outAndEmbedding[1];\n    } else {\n      outTensor = this.model.predict(inputTensor) as tf.Tensor;\n    }\n\n    if (numExamples === 1) {\n      output.scores = await outTensor.data() as Float32Array;\n    } else {\n      const unstacked = tf.unstack(outTensor);\n      const scorePromises = unstacked.map(item => item.data());\n      output.scores = await Promise.all(scorePromises) as Float32Array[];\n      tf.dispose(unstacked);\n    }\n\n    if (config.includeSpectrogram) {\n      output.spectrogram = {\n        data: (input instanceof tf.Tensor ? await input.data() : input) as\n            Float32Array,\n        frameSize: this.nonBatchInputShape[1],\n      };\n    }\n\n    tf.dispose(outTensor);\n    return output;\n  }\n\n  private async recognizeOnline(): Promise<SpectrogramData> {\n    return new Promise<SpectrogramData>((resolve, reject) => {\n      const spectrogramCallback: SpectrogramCallback = async (x: tf.Tensor) => {\n        const normalizedX = normalize(x);\n        await this.audioDataExtractor.stop();\n        resolve({\n          data: await normalizedX.data() as Float32Array,\n          frameSize: this.nonBatchInputShape[1],\n        });\n        normalizedX.dispose();\n        return false;\n      };\n      this.audioDataExtractor = new BrowserFftFeatureExtractor({\n        sampleRateHz: this.parameters.sampleRateHz,\n        numFramesPerSpectrogram: this.nonBatchInputShape[0],\n        columnTruncateLength: this.nonBatchInputShape[1],\n        suppressionTimeMillis: 0,\n        spectrogramCallback,\n        overlapFactor: 0\n      });\n      this.audioDataExtractor.start();\n    });\n  }\n\n  createTransfer(name: string): TransferSpeechCommandRecognizer {\n    if (this.model == null) {\n      throw new Error(\n          'Model has not been loaded yet. Load model by calling ' +\n          'ensureModelLoaded(), recognizer(), or listen().');\n    }\n    tf.util.assert(\n        name != null && typeof name === 'string' && name.length > 1,\n        () => `Expected the name for a transfer-learning recognized to be a ` +\n            `non-empty string, but got ${JSON.stringify(name)}`);\n    tf.util.assert(\n        this.transferRecognizers[name] == null,\n        () => `There is already a transfer-learning model named '${name}'`);\n    const transfer = new TransferBrowserFftSpeechCommandRecognizer(\n        name, this.parameters, this.model);\n    this.transferRecognizers[name] = transfer;\n    return transfer;\n  }\n\n  protected freezeModel(): void {\n    for (const layer of this.model.layers) {\n      layer.trainable = false;\n    }\n  }\n\n  private checkInputTensorShape(input: tf.Tensor) {\n    const expectedRank = this.model.inputs[0].shape.length;\n    if (input.shape.length !== expectedRank) {\n      throw new Error(\n          `Expected input Tensor to have rank ${expectedRank}, ` +\n          `but got rank ${input.shape.length} that differs `);\n    }\n    const nonBatchedShape = input.shape.slice(1);\n    const expectedNonBatchShape = this.model.inputs[0].shape.slice(1);\n    if (!tf.util.arraysEqual(nonBatchedShape, expectedNonBatchShape)) {\n      throw new Error(\n          `Expected input to have shape [null,${expectedNonBatchShape}], ` +\n          `but got shape [null,${nonBatchedShape}]`);\n    }\n  }\n}\n\n/**\n * A subclass of BrowserFftSpeechCommandRecognizer: Transfer-learned model.\n */\nclass TransferBrowserFftSpeechCommandRecognizer extends\n    BrowserFftSpeechCommandRecognizer implements\n        TransferSpeechCommandRecognizer {\n  private dataset: Dataset;\n  private transferHead: tf.Sequential;\n\n  /**\n   * Constructor of TransferBrowserFftSpeechCommandRecognizer.\n   *\n   * @param name Name of the transfer-learned recognizer. Must be a non-empty\n   *   string.\n   * @param parameters Parameters from the base recognizer.\n   * @param baseModel Model from the base recognizer.\n   */\n  constructor(\n      readonly name: string, readonly parameters: RecognizerParams,\n      readonly baseModel: tf.LayersModel) {\n    super();\n    tf.util.assert(\n        name != null && typeof name === 'string' && name.length > 0,\n        () => `The name of a transfer model must be a non-empty string, ` +\n            `but got ${JSON.stringify(name)}`);\n    this.nonBatchInputShape =\n        this.baseModel.inputs[0].shape.slice(1) as [number, number, number];\n    this.words = null;\n    this.dataset = new Dataset();\n  }\n\n  /**\n   * Collect an example for transfer learning via WebAudio.\n   *\n   * @param {string} word Name of the word. Must not overlap with any of the\n   *   words the base model is trained to recognize.\n   * @param {ExampleCollectionOptions}\n   * @returns {SpectrogramData} The spectrogram of the acquired the example.\n   * @throws Error, if word belongs to the set of words the base model is\n   *   trained to recognize.\n   */\n  async collectExample(word: string, options?: ExampleCollectionOptions):\n      Promise<SpectrogramData> {\n    tf.util.assert(\n        !this.streaming,\n        () => 'Cannot start collection of transfer-learning example because ' +\n            'a streaming recognition or transfer-learning example collection ' +\n            'is ongoing');\n    tf.util.assert(\n        word != null && typeof word === 'string' && word.length > 0,\n        () => `Must provide a non-empty string when collecting transfer-` +\n            `learning example`);\n\n    if (options == null) {\n      options = {};\n    }\n    if (options.durationMultiplier != null && options.durationSec != null) {\n      throw new Error(\n          `durationMultiplier and durationSec are mutually exclusive, ` +\n          `but are both specified.`);\n    }\n\n    let numFramesPerSpectrogram: number;\n    if (options.durationSec != null) {\n      tf.util.assert(\n          options.durationSec > 0,\n          () =>\n              `Expected durationSec to be > 0, but got ${options.durationSec}`);\n      const frameDurationSec =\n          this.parameters.fftSize / this.parameters.sampleRateHz;\n      numFramesPerSpectrogram =\n          Math.ceil(options.durationSec / frameDurationSec);\n    } else if (options.durationMultiplier != null) {\n      tf.util.assert(\n          options.durationMultiplier >= 1,\n          () => `Expected duration multiplier to be >= 1, ` +\n              `but got ${options.durationMultiplier}`);\n      numFramesPerSpectrogram =\n          Math.round(this.nonBatchInputShape[0] * options.durationMultiplier);\n    } else {\n      numFramesPerSpectrogram = this.nonBatchInputShape[0];\n    }\n\n    if (options.snippetDurationSec != null) {\n      tf.util.assert(\n          options.snippetDurationSec > 0,\n          () => `snippetDurationSec is expected to be > 0, but got ` +\n              `${options.snippetDurationSec}`);\n      tf.util.assert(\n          options.onSnippet != null,\n          () => `onSnippet must be provided if snippetDurationSec ` +\n              `is provided.`);\n    }\n    if (options.onSnippet != null) {\n      tf.util.assert(\n          options.snippetDurationSec != null,\n          () => `snippetDurationSec must be provided if onSnippet ` +\n              `is provided.`);\n    }\n    const frameDurationSec =\n        this.parameters.fftSize / this.parameters.sampleRateHz;\n    const totalDurationSec = frameDurationSec * numFramesPerSpectrogram;\n\n    this.streaming = true;\n    return new Promise<SpectrogramData>(resolve => {\n      const stepFactor = options.snippetDurationSec == null ?\n          1 :\n          options.snippetDurationSec / totalDurationSec;\n      const overlapFactor = 1 - stepFactor;\n      const callbackCountTarget = Math.round(1 / stepFactor);\n      let callbackCount = 0;\n      let lastIndex = -1;\n      const spectrogramSnippets: Float32Array[] = [];\n\n      const spectrogramCallback: SpectrogramCallback =\n          async (freqData: tf.Tensor, timeData?: tf.Tensor) => {\n        // TODO(cais): can we consolidate the logic in the two branches?\n        if (options.onSnippet == null) {\n          const normalizedX = normalize(freqData);\n          this.dataset.addExample({\n            label: word,\n            spectrogram: {\n              data: await normalizedX.data() as Float32Array,\n              frameSize: this.nonBatchInputShape[1],\n            },\n            rawAudio: options.includeRawAudio ? {\n              data: await timeData.data() as Float32Array,\n              sampleRateHz: this.audioDataExtractor.sampleRateHz\n            } :\n                                                undefined\n          });\n          normalizedX.dispose();\n          await this.audioDataExtractor.stop();\n          this.streaming = false;\n          this.collateTransferWords();\n          resolve({\n            data: await freqData.data() as Float32Array,\n            frameSize: this.nonBatchInputShape[1],\n          });\n        } else {\n          const data = await freqData.data() as Float32Array;\n          if (lastIndex === -1) {\n            lastIndex = data.length;\n          }\n          let i = lastIndex - 1;\n          while (data[i] !== 0 && i >= 0) {\n            i--;\n          }\n          const increment = lastIndex - i - 1;\n          lastIndex = i + 1;\n          const snippetData = data.slice(data.length - increment, data.length);\n          spectrogramSnippets.push(snippetData);\n\n          if (options.onSnippet != null) {\n            options.onSnippet(\n                {data: snippetData, frameSize: this.nonBatchInputShape[1]});\n          }\n\n          if (callbackCount++ === callbackCountTarget) {\n            await this.audioDataExtractor.stop();\n            this.streaming = false;\n            this.collateTransferWords();\n\n            const normalized = normalizeFloat32Array(\n                concatenateFloat32Arrays(spectrogramSnippets));\n            const finalSpectrogram: SpectrogramData = {\n              data: normalized,\n              frameSize: this.nonBatchInputShape[1]\n            };\n            this.dataset.addExample({\n              label: word,\n              spectrogram: finalSpectrogram,\n              rawAudio: options.includeRawAudio ? {\n                data: await timeData.data() as Float32Array,\n                sampleRateHz: this.audioDataExtractor.sampleRateHz\n              } :\n                                                  undefined\n            });\n            // TODO(cais): Fix 1-tensor memory leak.\n            resolve(finalSpectrogram);\n          }\n        }\n        return false;\n      };\n      this.audioDataExtractor = new BrowserFftFeatureExtractor({\n        sampleRateHz: this.parameters.sampleRateHz,\n        numFramesPerSpectrogram,\n        columnTruncateLength: this.nonBatchInputShape[1],\n        suppressionTimeMillis: 0,\n        spectrogramCallback,\n        overlapFactor,\n        includeRawAudio: options.includeRawAudio\n      });\n      this.audioDataExtractor.start(options.audioTrackConstraints);\n    });\n  }\n\n  /**\n   * Clear all transfer learning examples collected so far.\n   */\n  clearExamples(): void {\n    tf.util.assert(\n        this.words != null && this.words.length > 0 && !this.dataset.empty(),\n        () =>\n            `No transfer learning examples exist for model name ${this.name}`);\n    this.dataset.clear();\n    this.words = null;\n  }\n\n  /**\n   * Get counts of the word examples that have been collected for a\n   * transfer-learning model.\n   *\n   * @returns {{[word: string]: number}} A map from word name to number of\n   *   examples collected for that word so far.\n   */\n  countExamples(): {[word: string]: number} {\n    if (this.dataset.empty()) {\n      throw new Error(\n          `No examples have been collected for transfer-learning model ` +\n          `named '${this.name}' yet.`);\n    }\n    return this.dataset.getExampleCounts();\n  }\n\n  /**\n   * Get examples currently held by the transfer-learning recognizer.\n   *\n   * @param label Label requested.\n   * @returns An array of `Example`s, along with their UIDs.\n   */\n  getExamples(label: string): Array<{uid: string, example: Example}> {\n    return this.dataset.getExamples(label);\n  }\n\n  /** Set the key frame index of a given example. */\n  setExampleKeyFrameIndex(uid: string, keyFrameIndex: number): void {\n    this.dataset.setExampleKeyFrameIndex(uid, keyFrameIndex);\n  }\n\n  /**\n   * Remove an example from the current dataset.\n   *\n   * @param uid The UID of the example to remove.\n   */\n  removeExample(uid: string): void {\n    this.dataset.removeExample(uid);\n    this.collateTransferWords();\n  }\n\n  /**\n   * Check whether the underlying dataset is empty.\n   *\n   * @returns A boolean indicating whether the underlying dataset is empty.\n   */\n  isDatasetEmpty(): boolean {\n    return this.dataset.empty();\n  }\n\n  /**\n   * Load an array of serialized examples.\n   *\n   * @param serialized The examples in their serialized format.\n   * @param clearExisting Whether to clear the existing examples while\n   *   performing the loading (default: false).\n   */\n  loadExamples(serialized: ArrayBuffer, clearExisting = false): void {\n    const incomingDataset = new Dataset(serialized);\n    if (clearExisting) {\n      this.clearExamples();\n    }\n\n    const incomingVocab = incomingDataset.getVocabulary();\n    for (const label of incomingVocab) {\n      const examples = incomingDataset.getExamples(label);\n      for (const example of examples) {\n        this.dataset.addExample(example.example);\n      }\n    }\n\n    this.collateTransferWords();\n  }\n\n  /**\n   * Serialize the existing examples.\n   *\n   * @param wordLabels Optional word label(s) to serialize. If specified, only\n   *   the examples with labels matching the argument will be serialized. If\n   *   any specified word label does not exist in the vocabulary of this\n   *   transfer recognizer, an Error will be thrown.\n   * @returns An `ArrayBuffer` object amenable to transmission and storage.\n   */\n  serializeExamples(wordLabels?: string|string[]): ArrayBuffer {\n    return this.dataset.serialize(wordLabels);\n  }\n\n  /**\n   * Collect the vocabulary of this transfer-learned recognizer.\n   *\n   * The words are put in an alphabetically sorted order.\n   */\n  private collateTransferWords() {\n    this.words = this.dataset.getVocabulary();\n  }\n\n  /**\n   * Collect the transfer-learning data as `tf.Tensor`s.\n   *\n   * Used for training and evaluation when the amount of data is relatively\n   * small.\n   *\n   * @param windowHopRatio Ratio betwen hop length in number of frames and the\n   *   number of frames in a long spectrogram. Used during extraction\n   *   of multiple windows from the long spectrogram.\n   * @returns xs: The feature tensors (xs), a 4D tf.Tensor.\n   *          ys: The target tensors (ys), one-hot encoding, a 2D tf.Tensor.\n   */\n  private collectTransferDataAsTensors(\n      windowHopRatio?: number,\n      augmentationOptions?: AudioDataAugmentationOptions):\n      {xs: tf.Tensor, ys: tf.Tensor} {\n    const numFrames = this.nonBatchInputShape[0];\n    windowHopRatio = windowHopRatio || DEFAULT_WINDOW_HOP_RATIO;\n    const hopFrames = Math.round(windowHopRatio * numFrames);\n    const out = this.dataset.getData(\n                    null, {numFrames, hopFrames, ...augmentationOptions}) as\n        {xs: tf.Tensor4D, ys?: tf.Tensor2D};\n    return {xs: out.xs, ys: out.ys as tf.Tensor};\n  }\n\n  /**\n   * Same as `collectTransferDataAsTensors`, but returns `tf.data.Dataset`s.\n   *\n   * Used for training and evaluation when the amount of data is large.\n   *\n   * @param windowHopRatio Ratio betwen hop length in number of frames and the\n   *   number of frames in a long spectrogram. Used during extraction\n   *   of multiple windows from the long spectrogram.\n   * @param validationSplit The validation split to be used for splitting\n   *   the raw data between the `tf.data.Dataset` objects for training and\n   *   validation.\n   * @param batchSize Batch size used for the `tf.data.Dataset.batch()` call\n   *   during the creation of the dataset objects.\n   * @return Two `tf.data.Dataset` objects, one for training and one for\n   *   validation. Each of the objects may be directly fed into\n   *   `this.model.fitDataset`.\n   */\n  private collectTransferDataAsTfDataset(\n      windowHopRatio?: number, validationSplit = 0.15, batchSize = 32,\n      augmentationOptions?: AudioDataAugmentationOptions):\n      [tf.data.Dataset<{}>, tf.data.Dataset<{}>] {\n    const numFrames = this.nonBatchInputShape[0];\n    windowHopRatio = windowHopRatio || DEFAULT_WINDOW_HOP_RATIO;\n    const hopFrames = Math.round(windowHopRatio * numFrames);\n    return this.dataset.getData(null, {\n      numFrames,\n      hopFrames,\n      getDataset: true,\n      datasetBatchSize: batchSize,\n      datasetValidationSplit: validationSplit,\n      ...augmentationOptions\n    }) as [tf.data.Dataset<{}>, tf.data.Dataset<{}>];\n    // TODO(cais): See if we can tighten the typing.\n  }\n\n  /**\n   * Train the transfer-learning model.\n   *\n   * The last dense layer of the base model is replaced with new softmax dense\n   * layer.\n   *\n   * It is assume that at least one category of data has been collected (using\n   * multiple calls to the `collectTransferExample` method).\n   *\n   * @param config {TransferLearnConfig} Optional configurations fot the\n   *   training of the transfer-learning model.\n   * @returns {tf.History} A history object with the loss and accuracy values\n   *   from the training of the transfer-learning model.\n   * @throws Error, if `modelName` is invalid or if not sufficient training\n   *   examples have been collected yet.\n   */\n  async train(config?: TransferLearnConfig):\n      Promise<tf.History|[tf.History, tf.History]> {\n    tf.util.assert(\n        this.words != null && this.words.length > 0,\n        () =>\n            `Cannot train transfer-learning model '${this.name}' because no ` +\n            `transfer learning example has been collected.`);\n    tf.util.assert(\n        this.words.length > 1,\n        () => `Cannot train transfer-learning model '${\n                  this.name}' because only ` +\n            `1 word label ('${JSON.stringify(this.words)}') ` +\n            `has been collected for transfer learning. Requires at least 2.`);\n    if (config.fineTuningEpochs != null) {\n      tf.util.assert(\n          config.fineTuningEpochs >= 0 &&\n              Number.isInteger(config.fineTuningEpochs),\n          () => `If specified, fineTuningEpochs must be a non-negative ` +\n              `integer, but received ${config.fineTuningEpochs}`);\n    }\n\n    if (config == null) {\n      config = {};\n    }\n\n    if (this.model == null) {\n      this.createTransferModelFromBaseModel();\n    }\n\n    // This layer needs to be frozen for the initial phase of the\n    // transfer learning. During subsequent fine-tuning (if any), it will\n    // be unfrozen.\n    this.secondLastBaseDenseLayer.trainable = false;\n\n    // Compile model for training.\n    this.model.compile({\n      loss: 'categoricalCrossentropy',\n      optimizer: config.optimizer || 'sgd',\n      metrics: ['acc']\n    });\n\n    // Use `tf.data.Dataset` objects for training of the total duration of\n    // the recordings exceeds 60 seconds. Otherwise, use `tf.Tensor` objects.\n    const datasetDurationMillisThreshold =\n        config.fitDatasetDurationMillisThreshold == null ?\n        60e3 :\n        config.fitDatasetDurationMillisThreshold;\n    if (this.dataset.durationMillis() > datasetDurationMillisThreshold) {\n      console.log(\n          `Detected large dataset: total duration = ` +\n          `${this.dataset.durationMillis()} ms > ` +\n          `${datasetDurationMillisThreshold} ms. ` +\n          `Training transfer model using fitDataset() instead of fit()`);\n      return this.trainOnDataset(config);\n    } else {\n      return this.trainOnTensors(config);\n    }\n  }\n\n  /** Helper function for training on tf.data.Dataset objects. */\n  private async trainOnDataset(config?: TransferLearnConfig):\n      Promise<tf.History|[tf.History, tf.History]> {\n    tf.util.assert(config.epochs > 0, () => `Invalid config.epochs`);\n    // Train transfer-learning model using fitDataset\n\n    const batchSize = config.batchSize == null ? 32 : config.batchSize;\n    const windowHopRatio = config.windowHopRatio || DEFAULT_WINDOW_HOP_RATIO;\n    const [trainDataset, valDataset] = this.collectTransferDataAsTfDataset(\n        windowHopRatio, config.validationSplit, batchSize,\n        {augmentByMixingNoiseRatio: config.augmentByMixingNoiseRatio});\n    const t0 = tf.util.now();\n    const history = await this.model.fitDataset(trainDataset, {\n      epochs: config.epochs,\n      validationData: config.validationSplit > 0 ? valDataset : null,\n      callbacks: config.callback == null ? null : [config.callback]\n    });\n    console.log(`fitDataset() took ${(tf.util.now() - t0).toFixed(2)} ms`);\n\n    if (config.fineTuningEpochs != null && config.fineTuningEpochs > 0) {\n      // Perform fine-tuning.\n      const t0 = tf.util.now();\n      const fineTuningHistory = await this.fineTuningUsingTfDatasets(\n          config, trainDataset, valDataset);\n      console.log(\n          `fitDataset() (fine-tuning) took ` +\n          `${(tf.util.now() - t0).toFixed(2)} ms`);\n      return [history, fineTuningHistory];\n    } else {\n      return history;\n    }\n  }\n\n  /** Helper function for training on tf.Tensor objects. */\n  private async trainOnTensors(config?: TransferLearnConfig):\n      Promise<tf.History|[tf.History, tf.History]> {\n    // Prepare the data.\n    const windowHopRatio = config.windowHopRatio || DEFAULT_WINDOW_HOP_RATIO;\n    const {xs, ys} = this.collectTransferDataAsTensors(\n        windowHopRatio,\n        {augmentByMixingNoiseRatio: config.augmentByMixingNoiseRatio});\n    console.log(\n        `Training data: xs.shape = ${xs.shape}, ys.shape = ${ys.shape}`);\n\n    let trainXs: tf.Tensor;\n    let trainYs: tf.Tensor;\n    let valData: [tf.Tensor, tf.Tensor];\n    try {\n      // TODO(cais): The balanced split may need to be pushed down to the\n      //   level of the Dataset class to avoid leaks between train and val\n      //   splits.\n      if (config.validationSplit != null) {\n        const splits = balancedTrainValSplit(xs, ys, config.validationSplit);\n        trainXs = splits.trainXs;\n        trainYs = splits.trainYs;\n        valData = [splits.valXs, splits.valYs];\n      } else {\n        trainXs = xs;\n        trainYs = ys;\n      }\n\n      const history = await this.model.fit(trainXs, trainYs, {\n        epochs: config.epochs == null ? 20 : config.epochs,\n        validationData: valData,\n        batchSize: config.batchSize,\n        callbacks: config.callback == null ? null : [config.callback]\n      });\n\n      if (config.fineTuningEpochs != null && config.fineTuningEpochs > 0) {\n        // Fine tuning: unfreeze the second-last dense layer of the base\n        // model.\n        const fineTuningHistory = await this.fineTuningUsingTensors(\n            config, trainXs, trainYs, valData);\n        return [history, fineTuningHistory];\n      } else {\n        return history;\n      }\n    } finally {\n      tf.dispose([xs, ys, trainXs, trainYs, valData]);\n    }\n  }\n\n  private async fineTuningUsingTfDatasets(\n      config: TransferLearnConfig, trainDataset: tf.data.Dataset<{}>,\n      valDataset: tf.data.Dataset<{}>): Promise<tf.History> {\n    const originalTrainableValue = this.secondLastBaseDenseLayer.trainable;\n    this.secondLastBaseDenseLayer.trainable = true;\n\n    // Recompile model after unfreezing layer.\n    const fineTuningOptimizer: string|tf.Optimizer =\n        config.fineTuningOptimizer == null ? 'sgd' : config.fineTuningOptimizer;\n    this.model.compile({\n      loss: 'categoricalCrossentropy',\n      optimizer: fineTuningOptimizer,\n      metrics: ['acc']\n    });\n\n    const fineTuningHistory = await this.model.fitDataset(trainDataset, {\n      epochs: config.fineTuningEpochs,\n      validationData: valDataset,\n      callbacks: config.callback == null ? null : [config.callback]\n    });\n    // Set the trainable attribute of the fine-tuning layer to its\n    // previous value.\n    this.secondLastBaseDenseLayer.trainable = originalTrainableValue;\n    return fineTuningHistory;\n  }\n\n  private async fineTuningUsingTensors(\n      config: TransferLearnConfig, trainXs: tf.Tensor, trainYs: tf.Tensor,\n      valData: [tf.Tensor, tf.Tensor]): Promise<tf.History> {\n    const originalTrainableValue = this.secondLastBaseDenseLayer.trainable;\n    this.secondLastBaseDenseLayer.trainable = true;\n\n    // Recompile model after unfreezing layer.\n    const fineTuningOptimizer: string|tf.Optimizer =\n        config.fineTuningOptimizer == null ? 'sgd' : config.fineTuningOptimizer;\n    this.model.compile({\n      loss: 'categoricalCrossentropy',\n      optimizer: fineTuningOptimizer,\n      metrics: ['acc']\n    });\n\n    const fineTuningHistory = await this.model.fit(trainXs, trainYs, {\n      epochs: config.fineTuningEpochs,\n      validationData: valData,\n      batchSize: config.batchSize,\n      callbacks: config.fineTuningCallback == null ? null :\n                                                     [config.fineTuningCallback]\n    });\n    // Set the trainable attribute of the fine-tuning layer to its\n    // previous value.\n    this.secondLastBaseDenseLayer.trainable = originalTrainableValue;\n    return fineTuningHistory;\n  }\n\n  /**\n   * Perform evaluation of the model using the examples that the model\n   * has loaded.\n   *\n   * @param config Configuration object for the evaluation.\n   * @returns A Promise of the result of evaluation.\n   */\n  async evaluate(config: EvaluateConfig): Promise<EvaluateResult> {\n    tf.util.assert(\n        config.wordProbThresholds != null &&\n            config.wordProbThresholds.length > 0,\n        () => `Received null or empty wordProbThresholds`);\n\n    // TODO(cais): Maybe relax this requirement.\n    const NOISE_CLASS_INDEX = 0;\n    tf.util.assert(\n        this.words[NOISE_CLASS_INDEX] === BACKGROUND_NOISE_TAG,\n        () => `Cannot perform evaluation when the first tag is not ` +\n            `${BACKGROUND_NOISE_TAG}`);\n\n    return tf.tidy(() => {\n      const rocCurve: ROCCurve = [];\n      let auc = 0;\n      const {xs, ys} = this.collectTransferDataAsTensors(config.windowHopRatio);\n      const indices = ys.argMax(-1).dataSync();\n      const probs = this.model.predict(xs) as tf.Tensor;\n\n      // To calcaulte ROC, we collapse all word probabilites into a single\n      // positive class, while _background_noise_ is treated as the\n      // negative class.\n      const maxWordProbs =\n          probs.slice([0, 1], [probs.shape[0], probs.shape[1] - 1]).max(-1);\n      const total = probs.shape[0];\n\n      // Calculate ROC curve.\n      for (let i = 0; i < config.wordProbThresholds.length; ++i) {\n        const probThreshold = config.wordProbThresholds[i];\n        const isWord =\n            maxWordProbs.greater(tf.scalar(probThreshold)).dataSync();\n\n        let negatives = 0;\n        let positives = 0;\n        let falsePositives = 0;\n        let truePositives = 0;\n        for (let i = 0; i < total; ++i) {\n          if (indices[i] === NOISE_CLASS_INDEX) {\n            negatives++;\n            if (isWord[i]) {\n              falsePositives++;\n            }\n          } else {\n            positives++;\n            if (isWord[i]) {\n              truePositives++;\n            }\n          }\n        }\n\n        // TODO(cais): Calculate per-hour false-positive rate.\n        const fpr = falsePositives / negatives;\n        const tpr = truePositives / positives;\n\n        rocCurve.push({probThreshold, fpr, tpr});\n        console.log(\n            `ROC thresh=${probThreshold}: ` +\n            `fpr=${fpr.toFixed(4)}, tpr=${tpr.toFixed(4)}`);\n\n        if (i > 0) {\n          // Accumulate to AUC.\n          auc += Math.abs((rocCurve[i - 1].fpr - rocCurve[i].fpr)) *\n              (rocCurve[i - 1].tpr + rocCurve[i].tpr) / 2;\n        }\n      }\n      return {rocCurve, auc};\n    });\n  }\n\n  /**\n   * Create an instance of tf.LayersModel for transfer learning.\n   *\n   * The top dense layer of the base model is replaced with a new softmax\n   * dense layer.\n   */\n  private createTransferModelFromBaseModel(): void {\n    tf.util.assert(\n        this.words != null,\n        () =>\n            `No word example is available for tranfer-learning model of name ` +\n            this.name);\n\n    // Find the second last dense layer.\n    const layers = this.baseModel.layers;\n    let layerIndex = layers.length - 2;\n    while (layerIndex >= 0) {\n      if (layers[layerIndex].getClassName().toLowerCase() === 'dense') {\n        break;\n      }\n      layerIndex--;\n    }\n    if (layerIndex < 0) {\n      throw new Error('Cannot find a hidden dense layer in the base model.');\n    }\n    this.secondLastBaseDenseLayer = layers[layerIndex];\n    const truncatedBaseOutput =\n        this.secondLastBaseDenseLayer.output as tf.SymbolicTensor;\n\n    this.transferHead = tf.sequential();\n    this.transferHead.add(tf.layers.dense({\n      units: this.words.length,\n      activation: 'softmax',\n      inputShape: truncatedBaseOutput.shape.slice(1),\n      name: 'NewHeadDense'\n    }));\n    const transferOutput =\n        this.transferHead.apply(truncatedBaseOutput) as tf.SymbolicTensor;\n    this.model =\n        tf.model({inputs: this.baseModel.inputs, outputs: transferOutput});\n  }\n\n  /**\n   * Get the input shape of the underlying tf.LayersModel.\n   *\n   * @returns The input shape.\n   */\n  modelInputShape(): tf.Shape {\n    return this.baseModel.inputs[0].shape;\n  }\n\n  getMetadata(): SpeechCommandRecognizerMetadata {\n    return {\n      tfjsSpeechCommandsVersion: version,\n      modelName: this.name,\n      timeStamp: new Date().toISOString(),\n      wordLabels: this.wordLabels()\n    };\n  }\n\n  async save(handlerOrURL?: string|tf.io.IOHandler): Promise<tf.io.SaveResult> {\n    const isCustomPath = handlerOrURL != null;\n    handlerOrURL = handlerOrURL || getCanonicalSavePath(this.name);\n\n    if (!isCustomPath) {\n      // First, save the words and other metadata.\n      const metadataMapStr =\n          localStorageWrapper.localStorage.getItem(SAVED_MODEL_METADATA_KEY);\n      const metadataMap =\n          metadataMapStr == null ? {} : JSON.parse(metadataMapStr);\n      metadataMap[this.name] = this.getMetadata();\n      localStorageWrapper.localStorage.setItem(\n          SAVED_MODEL_METADATA_KEY, JSON.stringify(metadataMap));\n    }\n    console.log(`Saving model to ${handlerOrURL}`);\n    return this.model.save(handlerOrURL);\n  }\n\n  async load(handlerOrURL?: string|tf.io.IOHandler): Promise<void> {\n    const isCustomPath = handlerOrURL != null;\n    handlerOrURL = handlerOrURL || getCanonicalSavePath(this.name);\n\n    if (!isCustomPath) {\n      // First, load the words and other metadata.\n      const metadataMap = JSON.parse(\n          localStorageWrapper.localStorage.getItem(SAVED_MODEL_METADATA_KEY));\n      if (metadataMap == null || metadataMap[this.name] == null) {\n        throw new Error(\n            `Cannot find metadata for transfer model named ${this.name}\"`);\n      }\n      this.words = metadataMap[this.name].wordLabels;\n      console.log(\n          `Loaded word list for model named ${this.name}: ${this.words}`);\n    }\n    this.model = await tf.loadLayersModel(handlerOrURL);\n    console.log(`Loaded model from ${handlerOrURL}:`);\n    this.model.summary();\n  }\n\n  /**\n   * Overridden method to prevent creating a nested transfer-learning\n   * recognizer.\n   *\n   * @param name\n   */\n  createTransfer(name: string): TransferBrowserFftSpeechCommandRecognizer {\n    throw new Error(\n        'Creating transfer-learned recognizer from a transfer-learned ' +\n        'recognizer is not supported.');\n  }\n}\n\nfunction getCanonicalSavePath(name: string): string {\n  return `${SAVE_PATH_PREFIX}${name}`;\n}\n\n/**\n * List the model that are currently saved locally in the browser.\n *\n * @returns An array of transfer-learned speech-commands models\n *   that are currently saved in the browser locally.\n */\nexport async function listSavedTransferModels(): Promise<string[]> {\n  const models = await tf.io.listModels();\n  const keys = [];\n  for (const key in models) {\n    if (key.startsWith(SAVE_PATH_PREFIX)) {\n      keys.push(key.slice(SAVE_PATH_PREFIX.length));\n    }\n  }\n  return keys;\n}\n\n/**\n * Delete a locally-saved, transfer-learned speech-commands model.\n *\n * @param name The name of the transfer-learned model to be deleted.\n */\nexport async function deleteSavedTransferModel(name: string): Promise<void> {\n  // Delete the words from local storage.\n  let metadataMap = JSON.parse(\n      localStorageWrapper.localStorage.getItem(SAVED_MODEL_METADATA_KEY));\n  if (metadataMap == null) {\n    metadataMap = {};\n  }\n  if (metadataMap[name] != null) {\n    delete metadataMap[name];\n  }\n  localStorageWrapper.localStorage.setItem(\n      SAVED_MODEL_METADATA_KEY, JSON.stringify(metadataMap));\n  await tf.io.removeModel(getCanonicalSavePath(name));\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * https://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as SpeechCommands from '../src';\n\nimport {BACKGROUND_NOISE_TAG, UNKNOWN_TAG} from '../src';\n\nconst statusDisplay = document.getElementById('status-display');\nconst candidateWordsContainer = document.getElementById('candidate-words');\n\n/**\n * Log a message to a textarea.\n *\n * @param {string} message Message to be logged.\n */\nexport function logToStatusDisplay(message) {\n  const date = new Date();\n  statusDisplay.value += `[${date.toISOString()}] ` + message + '\\n';\n  statusDisplay.scrollTop = statusDisplay.scrollHeight;\n}\n\nlet candidateWordSpans;\n\n/**\n * Display candidate words in the UI.\n *\n * The background-noise \"word\" will be omitted.\n *\n * @param {*} words Candidate words.\n */\nexport function populateCandidateWords(words) {\n  candidateWordSpans = {};\n  while (candidateWordsContainer.firstChild) {\n    candidateWordsContainer.removeChild(candidateWordsContainer.firstChild);\n  }\n\n  for (const word of words) {\n    if (word === BACKGROUND_NOISE_TAG || word === UNKNOWN_TAG) {\n      continue;\n    }\n    const wordSpan = document.createElement('span');\n    wordSpan.textContent = word;\n    wordSpan.classList.add('candidate-word');\n    candidateWordsContainer.appendChild(wordSpan);\n    candidateWordSpans[word] = wordSpan;\n  }\n}\n\nexport function showCandidateWords() {\n  candidateWordsContainer.classList.remove('candidate-words-hidden');\n}\n\nexport function hideCandidateWords() {\n  candidateWordsContainer.classList.add('candidate-words-hidden');\n}\n\n/**\n * Show an audio spectrogram in a canvas.\n *\n * @param {HTMLCanvasElement} canvas The canvas element to draw the\n *   spectrogram in.\n * @param {Float32Array} frequencyData The flat array for the spectrogram\n *   data.\n * @param {number} fftSize Number of frequency points per frame.\n * @param {number} fftDisplaySize Number of frequency points to show. Must be\n * @param {Object} config Optional configuration object, with the following\n *   supported fields:\n *   - pixelsPerFrame {number} Number of pixels along the width dimension of\n *     the canvas for each frame of spectrogram.\n *   - maxPixelWidth {number} Maximum width in pixels.\n *   - markKeyFrame {bool} Whether to mark the index of the frame\n *     with the maximum intensity or a predetermined key frame.\n *   - keyFrameIndex {index?} Predetermined key frame index.\n *\n *   <= fftSize.\n */\nexport async function plotSpectrogram(\n    canvas, frequencyData, fftSize, fftDisplaySize, config) {\n  if (fftDisplaySize == null) {\n    fftDisplaySize = fftSize;\n  }\n  if (config == null) {\n    config = {};\n  }\n\n  // Get the maximum and minimum.\n  let min = Infinity;\n  let max = -Infinity;\n  for (let i = 0; i < frequencyData.length; ++i) {\n    const x = frequencyData[i];\n    if (x !== -Infinity) {\n      if (x < min) {\n        min = x;\n      }\n      if (x > max) {\n        max = x;\n      }\n    }\n  }\n  if (min >= max) {\n    return;\n  }\n\n  const context = canvas.getContext('2d');\n  context.clearRect(0, 0, canvas.width, canvas.height);\n\n  const numFrames = frequencyData.length / fftSize;\n  if (config.pixelsPerFrame != null) {\n    let realWidth = Math.round(config.pixelsPerFrame * numFrames);\n    if (config.maxPixelWidth != null && realWidth > config.maxPixelWidth) {\n      realWidth = config.maxPixelWidth;\n    }\n    canvas.width = realWidth;\n  }\n\n  const pixelWidth = canvas.width / numFrames;\n  const pixelHeight = canvas.height / fftDisplaySize;\n  for (let i = 0; i < numFrames; ++i) {\n    const x = pixelWidth * i;\n    const spectrum = frequencyData.subarray(i * fftSize, (i + 1) * fftSize);\n    if (spectrum[0] === -Infinity) {\n      break;\n    }\n    for (let j = 0; j < fftDisplaySize; ++j) {\n      const y = canvas.height - (j + 1) * pixelHeight;\n\n      let colorValue = (spectrum[j] - min) / (max - min);\n      colorValue = Math.pow(colorValue, 3);\n      colorValue = Math.round(255 * colorValue);\n      const fillStyle =\n          `rgb(${colorValue},${255 - colorValue},${255 - colorValue})`;\n      context.fillStyle = fillStyle;\n      context.fillRect(x, y, pixelWidth, pixelHeight);\n    }\n  }\n\n  if (config.markKeyFrame) {\n    const keyFrameIndex = config.keyFrameIndex == null ?\n        await SpeechCommands\n            .getMaxIntensityFrameIndex(\n                {data: frequencyData, frameSize: fftSize})\n            .data() :\n        config.keyFrameIndex;\n    // Draw lines to mark the maximum-intensity frame.\n    context.strokeStyle = 'black';\n    context.beginPath();\n    context.moveTo(pixelWidth * keyFrameIndex, 0);\n    context.lineTo(pixelWidth * keyFrameIndex, canvas.height * 0.1);\n    context.stroke();\n    context.beginPath();\n    context.moveTo(pixelWidth * keyFrameIndex, canvas.height * 0.9);\n    context.lineTo(pixelWidth * keyFrameIndex, canvas.height);\n    context.stroke();\n  }\n}\n\n/**\n * Plot top-K predictions from a speech command recognizer.\n *\n * @param {HTMLCanvasElement} canvas The canvas to render the predictions in.\n * @param {string[]} candidateWords Candidate word array.\n * @param {Float32Array | number[]} probabilities Probability scores from the\n *   speech command recognizer. Must be of the same length as `candidateWords`.\n * @param {number} timeToLiveMillis Optional time to live for the active label\n *   highlighting. If not provided, will the highlighting will live\n *   indefinitely till the next highlighting.\n * @param {number} topK Top _ scores to render.\n */\nexport function plotPredictions(\n    canvas, candidateWords, probabilities, topK, timeToLiveMillis) {\n  if (topK != null) {\n    let wordsAndProbs = [];\n    for (let i = 0; i < candidateWords.length; ++i) {\n      wordsAndProbs.push([candidateWords[i], probabilities[i]]);\n    }\n    wordsAndProbs.sort((a, b) => (b[1] - a[1]));\n    wordsAndProbs = wordsAndProbs.slice(0, topK);\n    candidateWords = wordsAndProbs.map(item => item[0]);\n    probabilities = wordsAndProbs.map(item => item[1]);\n\n    // Highlight the top word.\n    const topWord = wordsAndProbs[0][0];\n    console.log(\n        `\"${topWord}\" (p=${wordsAndProbs[0][1].toFixed(6)}) @ ` +\n        new Date().toTimeString());\n    for (const word in candidateWordSpans) {\n      if (word === topWord) {\n        if (word==\"one\")\n        localStorage.setItem(\"animation\", \"run\");\n        else\n        if (word==\"go\")\n        localStorage.setItem(\"animation\", \"walk\");\n        else\n        if (word==\"stop\")\n        localStorage.setItem(\"animation\", \"idle\");\n       \n        candidateWordSpans[word].classList.add('candidate-word-active');\n        if (timeToLiveMillis != null) {\n          setTimeout(() => {\n            if (candidateWordSpans[word]) {\n              candidateWordSpans[word].classList.remove(\n                  'candidate-word-active');\n            }\n          }, timeToLiveMillis);\n        }\n      } else {\n        candidateWordSpans[word].classList.remove('candidate-word-active');\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * https://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as speechCommands from '../src';\n\nimport {plotSpectrogram} from './ui';\n\n/** Remove the children of a div that do not have the isFixed attribute. */\nexport function removeNonFixedChildrenFromWordDiv(wordDiv) {\n  for (let i = wordDiv.children.length - 1; i >= 0; --i) {\n    if (wordDiv.children[i].getAttribute('isFixed') == null) {\n      wordDiv.removeChild(wordDiv.children[i]);\n    } else {\n      break;\n    }\n  }\n}\n\n/**\n * Get the relative x-coordinate of a click event in a canvas.\n *\n * @param {HTMLCanvasElement} canvasElement The canvas in which the click\n *   event happened.\n * @param {Event} event The click event object.\n * @return {number} The relative x-coordinate: a `number` between 0 and 1.\n */\nfunction getCanvasClickRelativeXCoordinate(canvasElement, event) {\n  let x;\n  if (event.pageX) {\n    x = event.pageX;\n  } else {\n    x = event.clientX + document.body.scrollLeft +\n        document.documentElement.scrollLeft;\n  }\n  x -= canvasElement.offsetLeft;\n  return x / canvasElement.width;\n}\n\n/**\n * Dataset visualizer that supports\n *\n * - Display of words and spectrograms\n * - Navigation through examples\n * - Deletion of examples\n */\nexport class DatasetViz {\n  /**\n   * Constructor of DatasetViz\n   *\n   * @param {Object} transferRecognizer An instance of\n   *   `speechCommands.TransferSpeechCommandRecognizer`.\n   * @param {HTMLDivElement} topLevelContainer The div element that\n   *   holds the div elements for the individual words. It is assumed\n   *   that each element has its \"word\" attribute set to the word.\n   * @param {number} minExamplesPerClass Minimum number of examples\n   *   per word class required for the start-transfer-learning button\n   *   to be enabled.\n   * @param {HTMLButtonElement} startTransferLearnButton The button\n   *   which starts the transfer learning when clicked.\n   * @param {HTMLBUttonElement} downloadAsFileButton The button\n   *   that triggers downloading of the dataset as a file when clicked.\n   * @param {number} transferDurationMultiplier Optional duration\n   *   multiplier (the ratio between the length of the example\n   *   and the length expected by the model.) Defaults to 1.\n   */\n  constructor(\n      transferRecognizer, topLevelContainer, minExamplesPerClass,\n      startTransferLearnButton, downloadAsFileButton,\n      transferDurationMultiplier = 1) {\n    this.transferRecognizer = transferRecognizer;\n    this.container = topLevelContainer;\n    this.minExamplesPerClass = minExamplesPerClass;\n    this.startTransferLearnButton = startTransferLearnButton;\n    this.downloadAsFileButton = downloadAsFileButton;\n    this.transferDurationMultiplier = transferDurationMultiplier;\n\n    // Navigation indices for the words.\n    this.navIndices = {};\n  }\n\n  /** Get the set of words in the dataset visualizer. */\n  words_() {\n    const words = [];\n    for (const element of this.container.children) {\n      words.push(element.getAttribute('word'));\n    }\n    return words;\n  }\n\n  /**\n   * Draw an example.\n   *\n   * @param {HTMLDivElement} wordDiv The div element for the word. It is assumed\n   *   that it contains the word button as the first child and the canvas as the\n   *   second.\n   * @param {string} word The word of the example being added.\n   * @param {SpectrogramData} spectrogram Optional spectrogram data.\n   *   If provided, will use it as is. If not provided, will use WebAudio\n   *   to collect an example.\n   * @param {RawAudio} rawAudio Raw audio waveform. Optional\n   * @param {string} uid UID of the example being drawn. Must match the UID\n   *   of the example from `this.transferRecognizer`.\n   */\n  async drawExample(wordDiv, word, spectrogram, rawAudio, uid) {\n    if (uid == null) {\n      throw new Error('Error: UID is not provided for pre-existing example.');\n    }\n\n    removeNonFixedChildrenFromWordDiv(wordDiv);\n\n    // Create the left and right nav buttons.\n    const leftButton = document.createElement('button');\n    leftButton.textContent = '←';\n    wordDiv.appendChild(leftButton);\n\n    const rightButton = document.createElement('button');\n    rightButton.textContent = '→';\n    wordDiv.appendChild(rightButton);\n\n    // Determine the position of the example in the word of the dataset.\n    const exampleUIDs =\n        this.transferRecognizer.getExamples(word).map(ex => ex.uid);\n    const position = exampleUIDs.indexOf(uid);\n    this.navIndices[word] = exampleUIDs.indexOf(uid);\n\n    if (position > 0) {\n      leftButton.addEventListener('click', () => {\n        this.redraw(word, exampleUIDs[position - 1]);\n      });\n    } else {\n      leftButton.disabled = true;\n    }\n\n    if (position < exampleUIDs.length - 1) {\n      rightButton.addEventListener('click', () => {\n        this.redraw(word, exampleUIDs[position + 1]);\n      });\n    } else {\n      rightButton.disabled = true;\n    }\n\n    // Spectrogram canvas.\n    const exampleCanvas = document.createElement('canvas');\n    exampleCanvas.style['display'] = 'inline-block';\n    exampleCanvas.style['vertical-align'] = 'middle';\n    exampleCanvas.height = 60;\n    exampleCanvas.width = 80;\n    exampleCanvas.style['padding'] = '3px';\n\n    // Set up the click callback for the spectrogram canvas. When clicked,\n    // the keyFrameIndex will be set.\n    if (word !== speechCommands.BACKGROUND_NOISE_TAG) {\n      exampleCanvas.addEventListener('click', event => {\n        const relativeX =\n            getCanvasClickRelativeXCoordinate(exampleCanvas, event);\n        const numFrames = spectrogram.data.length / spectrogram.frameSize;\n        const keyFrameIndex = Math.floor(numFrames * relativeX);\n        console.log(\n            `relativeX=${relativeX}; ` +\n            `changed keyFrameIndex to ${keyFrameIndex}`);\n        this.transferRecognizer.setExampleKeyFrameIndex(uid, keyFrameIndex);\n        this.redraw(word, uid);\n      });\n    }\n\n    wordDiv.appendChild(exampleCanvas);\n\n    const modelNumFrames = this.transferRecognizer.modelInputShape()[1];\n    await plotSpectrogram(\n        exampleCanvas, spectrogram.data, spectrogram.frameSize,\n        spectrogram.frameSize, {\n          pixelsPerFrame: exampleCanvas.width / modelNumFrames,\n          maxPixelWidth: Math.round(0.4 * window.innerWidth),\n          markKeyFrame: this.transferDurationMultiplier > 1 &&\n              word !== speechCommands.BACKGROUND_NOISE_TAG,\n          keyFrameIndex: spectrogram.keyFrameIndex\n        });\n\n    if (rawAudio != null) {\n      const playButton = document.createElement('button');\n      playButton.textContent = '▶️';\n      playButton.addEventListener('click', () => {\n        playButton.disabled = true;\n        speechCommands.utils.playRawAudio(\n            rawAudio, () => playButton.disabled = false);\n      });\n      wordDiv.appendChild(playButton);\n    }\n\n    // Create Delete button.\n    const deleteButton = document.createElement('button');\n    deleteButton.textContent = 'X';\n    wordDiv.appendChild(deleteButton);\n\n    // Callback for delete button.\n    deleteButton.addEventListener('click', () => {\n      this.transferRecognizer.removeExample(uid);\n      // TODO(cais): Smarter logic for which example to draw after deletion.\n      // Right now it always redraws the last available one.\n      this.redraw(word);\n    });\n\n    this.updateButtons_();\n  }\n\n  /**\n   * Redraw the spectrogram and buttons for a word.\n   *\n   * @param {string} word The word being redrawn. This must belong to the\n   *   vocabulary currently held by the transferRecognizer.\n   * @param {string} uid Optional UID for the example to render. If not\n   *   specified, the last available example of the dataset will be drawn.\n   */\n  async redraw(word, uid) {\n    if (word == null) {\n      throw new Error('word is not specified');\n    }\n    let divIndex;\n    for (divIndex = 0; divIndex < this.container.children.length; ++divIndex) {\n      if (this.container.children[divIndex].getAttribute('word') === word) {\n        break;\n      }\n    }\n    if (divIndex === this.container.children.length) {\n      throw new Error(`Cannot find div corresponding to word ${word}`);\n    }\n    const wordDiv = this.container.children[divIndex];\n    const exampleCounts = this.transferRecognizer.isDatasetEmpty() ?\n        {} :\n        this.transferRecognizer.countExamples();\n\n    if (word in exampleCounts) {\n      const examples = this.transferRecognizer.getExamples(word);\n      let example;\n      if (uid == null) {\n        // Example UID is not specified. Draw the last one available.\n        example = examples[examples.length - 1];\n      } else {\n        // Example UID is specified. Find the example and update navigation\n        // indices.\n        for (let index = 0; index < examples.length; ++index) {\n          if (examples[index].uid === uid) {\n            example = examples[index];\n          }\n        }\n      }\n\n      const spectrogram = example.example.spectrogram;\n      await this.drawExample(\n          wordDiv, word, spectrogram, example.example.rawAudio, example.uid);\n    } else {\n      removeNonFixedChildrenFromWordDiv(wordDiv);\n    }\n\n    this.updateButtons_();\n  }\n\n  /**\n   * Redraw the spectrograms and buttons for all words.\n   *\n   * For each word, the last available example is rendered.\n   **/\n  redrawAll() {\n    for (const word of this.words_()) {\n      this.redraw(word);\n    }\n  }\n\n  /** Update the button states according to the state of transferRecognizer. */\n  updateButtons_() {\n    const exampleCounts = this.transferRecognizer.isDatasetEmpty() ?\n        {} :\n        this.transferRecognizer.countExamples();\n    const minCountByClass =\n        this.words_()\n            .map(word => exampleCounts[word] || 0)\n            .reduce((prev, current) => current < prev ? current : prev);\n\n    for (const element of this.container.children) {\n      const word = element.getAttribute('word');\n      const button = element.children[0];\n      const displayWord =\n          word === speechCommands.BACKGROUND_NOISE_TAG ? 'noise' : word;\n      const exampleCount = exampleCounts[word] || 0;\n      if (exampleCount === 0) {\n        button.textContent = `${displayWord} (${exampleCount})`;\n      } else {\n        const pos = this.navIndices[word] + 1;\n        button.textContent = `${displayWord} (${pos}/${exampleCount})`;\n      }\n    }\n\n    const requiredMinCountPerClass =\n        Math.ceil(this.minExamplesPerClass / this.transferDurationMultiplier);\n    if (minCountByClass >= requiredMinCountPerClass) {\n      this.startTransferLearnButton.textContent = 'Start transfer learning';\n      this.startTransferLearnButton.disabled = false;\n    } else {\n      this.startTransferLearnButton.textContent =\n          `Need at least ${requiredMinCountPerClass} examples per word`;\n      this.startTransferLearnButton.disabled = true;\n    }\n\n    this.downloadAsFileButton.disabled =\n        this.transferRecognizer.isDatasetEmpty();\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * https://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tf from '@tensorflow/tfjs';\nimport Plotly from 'plotly.js-dist';\n\nimport * as SpeechCommands from '../src';\n\nimport {DatasetViz, removeNonFixedChildrenFromWordDiv} from './dataset-vis';\nimport {hideCandidateWords, logToStatusDisplay, plotPredictions, plotSpectrogram, populateCandidateWords, showCandidateWords} from './ui';\n\nconst startButton = document.getElementById('start');\nconst stopButton = document.getElementById('stop');\nconst predictionCanvas = document.getElementById('prediction-canvas');\n\nconst probaThresholdInput = document.getElementById('proba-threshold');\nconst epochsInput = document.getElementById('epochs');\nconst fineTuningEpochsInput = document.getElementById('fine-tuning-epochs');\n\nconst datasetIOButton = document.getElementById('dataset-io');\nconst datasetIOInnerDiv = document.getElementById('dataset-io-inner');\nconst downloadAsFileButton = document.getElementById('download-dataset');\nconst datasetFileInput = document.getElementById('dataset-file-input');\nconst uploadFilesButton = document.getElementById('upload-dataset');\n\nconst evalModelOnDatasetButton =\n    document.getElementById('eval-model-on-dataset');\nconst evalResultsSpan = document.getElementById('eval-results');\n\nconst modelIOButton = document.getElementById('model-io');\nconst transferModelSaveLoadInnerDiv =\n    document.getElementById('transfer-model-save-load-inner');\nconst loadTransferModelButton = document.getElementById('load-transfer-model');\nconst saveTransferModelButton = document.getElementById('save-transfer-model');\nconst savedTransferModelsSelect =\n    document.getElementById('saved-transfer-models');\nconst deleteTransferModelButton =\n    document.getElementById('delete-transfer-model');\n\nconst BACKGROUND_NOISE_TAG = SpeechCommands.BACKGROUND_NOISE_TAG;\n\n/**\n * Transfer learning-related UI componenets.\n */\nconst transferModelNameInput = document.getElementById('transfer-model-name');\nconst learnWordsInput = document.getElementById('learn-words');\nconst durationMultiplierSelect = document.getElementById('duration-multiplier');\nconst enterLearnWordsButton = document.getElementById('enter-learn-words');\nconst includeTimeDomainWaveformCheckbox =\n    document.getElementById('include-audio-waveform');\nconst collectButtonsDiv = document.getElementById('collect-words');\nconst startTransferLearnButton =\n    document.getElementById('start-transfer-learn');\n\nconst XFER_MODEL_NAME = 'xfer-model';\n\n// Minimum required number of examples per class for transfer learning.\nconst MIN_EXAMPLES_PER_CLASS = 8;\n\nlet recognizer;\nlet transferWords;\nlet transferRecognizer;\nlet transferDurationMultiplier;\n\n(async function() {\n  logToStatusDisplay('Creating recognizer...');\n  recognizer = SpeechCommands.create('BROWSER_FFT');\n\n  await populateSavedTransferModelsSelect();\n\n  // Make sure the tf.Model is loaded through HTTP. If this is not\n  // called here, the tf.Model will be loaded the first time\n  // `listen()` is called.\n  recognizer.ensureModelLoaded()\n      .then(() => {\n        startButton.disabled = false;\n        enterLearnWordsButton.disabled = false;\n        loadTransferModelButton.disabled = false;\n        deleteTransferModelButton.disabled = false;\n\n        transferModelNameInput.value = `model-${getDateString()}`;\n\n        logToStatusDisplay('Model loaded.');\n\n        const params = recognizer.params();\n        logToStatusDisplay(`sampleRateHz: ${params.sampleRateHz}`);\n        logToStatusDisplay(`fftSize: ${params.fftSize}`);\n        logToStatusDisplay(\n            `spectrogramDurationMillis: ` +\n            `${params.spectrogramDurationMillis.toFixed(2)}`);\n        logToStatusDisplay(\n            `tf.Model input shape: ` +\n            `${JSON.stringify(recognizer.modelInputShape())}`);\n      })\n      .catch(err => {\n        logToStatusDisplay(\n            'Failed to load model for recognizer: ' + err.message);\n      });\n})();\n\nstartButton.addEventListener('click', () => {\n  const activeRecognizer =\n      transferRecognizer == null ? recognizer : transferRecognizer;\n  populateCandidateWords(activeRecognizer.wordLabels());\n\n  const suppressionTimeMillis = 1000;\n  activeRecognizer\n      .listen(\n          result => {\n            plotPredictions(\n                predictionCanvas, activeRecognizer.wordLabels(), result.scores,\n                3, suppressionTimeMillis);\n          },\n          {\n            includeSpectrogram: true,\n            suppressionTimeMillis,\n            probabilityThreshold: Number.parseFloat(probaThresholdInput.value)\n          })\n      .then(() => {\n        startButton.disabled = true;\n        stopButton.disabled = false;\n        showCandidateWords();\n        logToStatusDisplay('Streaming recognition started.');\n      })\n      .catch(err => {\n        logToStatusDisplay(\n            'ERROR: Failed to start streaming display: ' + err.message);\n      });\n});\n\nstopButton.addEventListener('click', () => {\n  const activeRecognizer =\n      transferRecognizer == null ? recognizer : transferRecognizer;\n  activeRecognizer.stopListening()\n      .then(() => {\n        startButton.disabled = false;\n        stopButton.disabled = true;\n        hideCandidateWords();\n        logToStatusDisplay('Streaming recognition stopped.');\n      })\n      .catch(err => {\n        logToStatusDisplay(\n            'ERROR: Failed to stop streaming display: ' + err.message);\n      });\n});\n\n/**\n * Transfer learning logic.\n */\n\n/** Scroll to the bottom of the page */\nfunction scrollToPageBottom() {\n  const scrollingElement = (document.scrollingElement || document.body);\n  scrollingElement.scrollTop = scrollingElement.scrollHeight;\n}\n\nlet collectWordButtons = {};\nlet datasetViz;\n\nfunction createProgressBarAndIntervalJob(parentElement, durationSec) {\n  const progressBar = document.createElement('progress');\n  progressBar.value = 0;\n  progressBar.style['width'] = `${Math.round(window.innerWidth * 0.25)}px`;\n  // Update progress bar in increments.\n  const intervalJob = setInterval(() => {\n    progressBar.value += 0.05;\n  }, durationSec * 1e3 / 20);\n  parentElement.appendChild(progressBar);\n  return {progressBar, intervalJob};\n}\n\n/**\n * Create div elements for transfer words.\n *\n * @param {string[]} transferWords The array of transfer words.\n * @returns {Object} An object mapping word to th div element created for it.\n */\nfunction createWordDivs(transferWords) {\n  // Clear collectButtonsDiv first.\n  while (collectButtonsDiv.firstChild) {\n    collectButtonsDiv.removeChild(collectButtonsDiv.firstChild);\n  }\n  datasetViz = new DatasetViz(\n      transferRecognizer, collectButtonsDiv, MIN_EXAMPLES_PER_CLASS,\n      startTransferLearnButton, downloadAsFileButton,\n      transferDurationMultiplier);\n\n  const wordDivs = {};\n  for (const word of transferWords) {\n    const wordDiv = document.createElement('div');\n    wordDiv.classList.add('word-div');\n    wordDivs[word] = wordDiv;\n    wordDiv.setAttribute('word', word);\n    const button = document.createElement('button');\n    button.setAttribute('isFixed', 'true');\n    button.style['display'] = 'inline-block';\n    button.style['vertical-align'] = 'middle';\n\n    const displayWord = word === BACKGROUND_NOISE_TAG ? 'noise' : word;\n\n    button.textContent = `${displayWord} (0)`;\n    wordDiv.appendChild(button);\n    wordDiv.className = 'transfer-word';\n    collectButtonsDiv.appendChild(wordDiv);\n    collectWordButtons[word] = button;\n\n    let durationInput;\n    if (word === BACKGROUND_NOISE_TAG) {\n      // Create noise duration input.\n      durationInput = document.createElement('input');\n      durationInput.setAttribute('isFixed', 'true');\n      durationInput.value = '10';\n      durationInput.style['width'] = '100px';\n      wordDiv.appendChild(durationInput);\n      // Create time-unit span for noise duration.\n      const timeUnitSpan = document.createElement('span');\n      timeUnitSpan.setAttribute('isFixed', 'true');\n      timeUnitSpan.classList.add('settings');\n      timeUnitSpan.style['vertical-align'] = 'middle';\n      timeUnitSpan.textContent = 'seconds';\n      wordDiv.appendChild(timeUnitSpan);\n    }\n\n    button.addEventListener('click', async () => {\n      disableAllCollectWordButtons();\n      removeNonFixedChildrenFromWordDiv(wordDiv);\n\n      const collectExampleOptions = {};\n      let durationSec;\n      let intervalJob;\n      let progressBar;\n\n      if (word === BACKGROUND_NOISE_TAG) {\n        // If the word type is background noise, display a progress bar during\n        // sound collection and do not show an incrementally updating\n        // spectrogram.\n        // _background_noise_ examples are special, in that user can specify\n        // the length of the recording (in seconds).\n        collectExampleOptions.durationSec =\n            Number.parseFloat(durationInput.value);\n        durationSec = collectExampleOptions.durationSec;\n\n        const barAndJob = createProgressBarAndIntervalJob(wordDiv, durationSec);\n        progressBar = barAndJob.progressBar;\n        intervalJob = barAndJob.intervalJob;\n      } else {\n        // If this is not a background-noise word type and if the duration\n        // multiplier is >1 (> ~1 s recoding), show an incrementally\n        // updating spectrogram in real time.\n        collectExampleOptions.durationMultiplier = transferDurationMultiplier;\n        let tempSpectrogramData;\n        const tempCanvas = document.createElement('canvas');\n        tempCanvas.style['margin-left'] = '132px';\n        tempCanvas.height = 50;\n        wordDiv.appendChild(tempCanvas);\n\n        collectExampleOptions.snippetDurationSec = 0.1;\n        collectExampleOptions.onSnippet = async (spectrogram) => {\n          if (tempSpectrogramData == null) {\n            tempSpectrogramData = spectrogram.data;\n          } else {\n            tempSpectrogramData = SpeechCommands.utils.concatenateFloat32Arrays(\n                [tempSpectrogramData, spectrogram.data]);\n          }\n          plotSpectrogram(\n              tempCanvas, tempSpectrogramData, spectrogram.frameSize,\n              spectrogram.frameSize, {pixelsPerFrame: 2});\n        }\n      }\n\n      collectExampleOptions.includeRawAudio =\n          includeTimeDomainWaveformCheckbox.checked;\n      const spectrogram =\n          await transferRecognizer.collectExample(word, collectExampleOptions);\n\n\n      if (intervalJob != null) {\n        clearInterval(intervalJob);\n      }\n      if (progressBar != null) {\n        wordDiv.removeChild(progressBar);\n      }\n      const examples = transferRecognizer.getExamples(word)\n      const example = examples[examples.length - 1];\n      await datasetViz.drawExample(\n          wordDiv, word, spectrogram, example.example.rawAudio, example.uid);\n      enableAllCollectWordButtons();\n    });\n  }\n  return wordDivs;\n}\n\nenterLearnWordsButton.addEventListener('click', () => {\n  const modelName = transferModelNameInput.value;\n  if (modelName == null || modelName.length === 0) {\n    enterLearnWordsButton.textContent = 'Need model name!';\n    setTimeout(() => {\n      enterLearnWordsButton.textContent = 'Enter transfer words';\n    }, 2000);\n    return;\n  }\n\n  // We disable the option to upload an existing dataset from files\n  // once the \"Enter transfer words\" button has been clicked.\n  // However, the user can still load an existing dataset from\n  // files first and keep appending examples to it.\n  disableFileUploadControls();\n  enterLearnWordsButton.disabled = true;\n\n  transferDurationMultiplier = durationMultiplierSelect.value;\n\n  learnWordsInput.disabled = true;\n  enterLearnWordsButton.disabled = true;\n  transferWords = learnWordsInput.value.trim().split(',').map(w => w.trim());\n  transferWords.sort();\n  if (transferWords == null || transferWords.length <= 1) {\n    logToStatusDisplay('ERROR: Invalid list of transfer words.');\n    return;\n  }\n\n  transferRecognizer = recognizer.createTransfer(modelName);\n  createWordDivs(transferWords);\n\n  scrollToPageBottom();\n});\n\nfunction disableAllCollectWordButtons() {\n  for (const word in collectWordButtons) {\n    collectWordButtons[word].disabled = true;\n  }\n}\n\nfunction enableAllCollectWordButtons() {\n  for (const word in collectWordButtons) {\n    collectWordButtons[word].disabled = false;\n  }\n}\n\nfunction disableFileUploadControls() {\n  datasetFileInput.disabled = true;\n  uploadFilesButton.disabled = true;\n}\n\nstartTransferLearnButton.addEventListener('click', async () => {\n  startTransferLearnButton.disabled = true;\n  startButton.disabled = true;\n  startTransferLearnButton.textContent = 'Transfer learning starting...';\n  await tf.nextFrame();\n\n  const INITIAL_PHASE = 'initial';\n  const FINE_TUNING_PHASE = 'fineTuningPhase';\n\n  const epochs = parseInt(epochsInput.value);\n  const fineTuningEpochs = parseInt(fineTuningEpochsInput.value);\n  const trainLossValues = {};\n  const valLossValues = {};\n  const trainAccValues = {};\n  const valAccValues = {};\n\n  for (const phase of [INITIAL_PHASE, FINE_TUNING_PHASE]) {\n    const phaseSuffix = phase === FINE_TUNING_PHASE ? ' (FT)' : '';\n    const lineWidth = phase === FINE_TUNING_PHASE ? 2 : 1;\n    trainLossValues[phase] = {\n      x: [],\n      y: [],\n      name: 'train' + phaseSuffix,\n      mode: 'lines',\n      line: {width: lineWidth}\n    };\n    valLossValues[phase] = {\n      x: [],\n      y: [],\n      name: 'val' + phaseSuffix,\n      mode: 'lines',\n      line: {width: lineWidth}\n    };\n    trainAccValues[phase] = {\n      x: [],\n      y: [],\n      name: 'train' + phaseSuffix,\n      mode: 'lines',\n      line: {width: lineWidth}\n    };\n    valAccValues[phase] = {\n      x: [],\n      y: [],\n      name: 'val' + phaseSuffix,\n      mode: 'lines',\n      line: {width: lineWidth}\n    };\n  }\n\n  function plotLossAndAccuracy(epoch, loss, acc, val_loss, val_acc, phase) {\n    const displayEpoch = phase === FINE_TUNING_PHASE ? (epoch + epochs) : epoch;\n    trainLossValues[phase].x.push(displayEpoch);\n    trainLossValues[phase].y.push(loss);\n    trainAccValues[phase].x.push(displayEpoch);\n    trainAccValues[phase].y.push(acc);\n    valLossValues[phase].x.push(displayEpoch);\n    valLossValues[phase].y.push(val_loss);\n    valAccValues[phase].x.push(displayEpoch);\n    valAccValues[phase].y.push(val_acc);\n\n    Plotly.newPlot(\n        'loss-plot',\n        [\n          trainLossValues[INITIAL_PHASE], valLossValues[INITIAL_PHASE],\n          trainLossValues[FINE_TUNING_PHASE], valLossValues[FINE_TUNING_PHASE]\n        ],\n        {\n          width: 480,\n          height: 360,\n          xaxis: {title: 'Epoch #'},\n          yaxis: {title: 'Loss'},\n          font: {size: 18}\n        });\n    Plotly.newPlot(\n        'accuracy-plot',\n        [\n          trainAccValues[INITIAL_PHASE], valAccValues[INITIAL_PHASE],\n          trainAccValues[FINE_TUNING_PHASE], valAccValues[FINE_TUNING_PHASE]\n        ],\n        {\n          width: 480,\n          height: 360,\n          xaxis: {title: 'Epoch #'},\n          yaxis: {title: 'Accuracy'},\n          font: {size: 18}\n        });\n    startTransferLearnButton.textContent = phase === INITIAL_PHASE ?\n        `Transfer-learning... (${(epoch / epochs * 1e2).toFixed(0)}%)` :\n        `Transfer-learning (fine-tuning)... (${\n            (epoch / fineTuningEpochs * 1e2).toFixed(0)}%)`\n\n    scrollToPageBottom();\n  }\n\n  disableAllCollectWordButtons();\n  const augmentByMixingNoiseRatio =\n      document.getElementById('augment-by-mixing-noise').checked ? 0.5 : null;\n  console.log(`augmentByMixingNoiseRatio = ${augmentByMixingNoiseRatio}`);\n  await transferRecognizer.train({\n    epochs,\n    validationSplit: 0.25,\n    augmentByMixingNoiseRatio,\n    callback: {\n      onEpochEnd: async (epoch, logs) => {\n        plotLossAndAccuracy(\n            epoch, logs.loss, logs.acc, logs.val_loss, logs.val_acc,\n            INITIAL_PHASE);\n      }\n    },\n    fineTuningEpochs,\n    fineTuningCallback: {\n      onEpochEnd: async (epoch, logs) => {\n        plotLossAndAccuracy(\n            epoch, logs.loss, logs.acc, logs.val_loss, logs.val_acc,\n            FINE_TUNING_PHASE);\n      }\n    }\n  });\n  saveTransferModelButton.disabled = false;\n  transferModelNameInput.value = transferRecognizer.name;\n  transferModelNameInput.disabled = true;\n  startTransferLearnButton.textContent = 'Transfer learning complete.';\n  transferModelNameInput.disabled = false;\n  startButton.disabled = false;\n  evalModelOnDatasetButton.disabled = false;\n});\n\ndownloadAsFileButton.addEventListener('click', () => {\n  const basename = getDateString();\n  const artifacts = transferRecognizer.serializeExamples();\n\n  // Trigger downloading of the data .bin file.\n  const anchor = document.createElement('a');\n  anchor.download = `${basename}.bin`;\n  anchor.href = window.URL.createObjectURL(\n      new Blob([artifacts], {type: 'application/octet-stream'}));\n  anchor.click();\n});\n\n/** Get the base name of the downloaded files based on current dataset. */\nfunction getDateString() {\n  const d = new Date();\n  const year = `${d.getFullYear()}`;\n  let month = `${d.getMonth() + 1}`;\n  let day = `${d.getDate()}`;\n  if (month.length < 2) {\n    month = `0${month}`;\n  }\n  if (day.length < 2) {\n    day = `0${day}`;\n  }\n  let hour = `${d.getHours()}`;\n  if (hour.length < 2) {\n    hour = `0${hour}`;\n  }\n  let minute = `${d.getMinutes()}`;\n  if (minute.length < 2) {\n    minute = `0${minute}`;\n  }\n  let second = `${d.getSeconds()}`;\n  if (second.length < 2) {\n    second = `0${second}`;\n  }\n  return `${year}-${month}-${day}T${hour}.${minute}.${second}`;\n}\n\nuploadFilesButton.addEventListener('click', async () => {\n  const files = datasetFileInput.files;\n  if (files == null || files.length !== 1) {\n    throw new Error('Must select exactly one file.');\n  }\n  const datasetFileReader = new FileReader();\n  datasetFileReader.onload = async event => {\n    try {\n      await loadDatasetInTransferRecognizer(event.target.result);\n    } catch (err) {\n      const originalTextContent = uploadFilesButton.textContent;\n      uploadFilesButton.textContent = err.message;\n      setTimeout(() => {\n        uploadFilesButton.textContent = originalTextContent;\n      }, 2000);\n    }\n    durationMultiplierSelect.value = `${transferDurationMultiplier}`;\n    durationMultiplierSelect.disabled = true;\n    enterLearnWordsButton.disabled = true;\n  };\n  datasetFileReader.onerror = () =>\n      console.error(`Failed to binary data from file '${dataFile.name}'.`);\n  datasetFileReader.readAsArrayBuffer(files[0]);\n});\n\nasync function loadDatasetInTransferRecognizer(serialized) {\n  const modelName = transferModelNameInput.value;\n  if (modelName == null || modelName.length === 0) {\n    throw new Error('Need model name!');\n  }\n\n  if (transferRecognizer == null) {\n    transferRecognizer = recognizer.createTransfer(modelName);\n  }\n  transferRecognizer.loadExamples(serialized);\n  const exampleCounts = transferRecognizer.countExamples();\n  transferWords = [];\n  const modelNumFrames = transferRecognizer.modelInputShape()[1];\n  const durationMultipliers = [];\n  for (const word in exampleCounts) {\n    transferWords.push(word);\n    const examples = transferRecognizer.getExamples(word);\n    for (const example of examples) {\n      const spectrogram = example.example.spectrogram;\n      // Ignore _background_noise_ examples when determining the duration\n      // multiplier of the dataset.\n      if (word !== BACKGROUND_NOISE_TAG) {\n        durationMultipliers.push(Math.round(\n            spectrogram.data.length / spectrogram.frameSize / modelNumFrames));\n      }\n    }\n  }\n  transferWords.sort();\n  learnWordsInput.value = transferWords.join(',');\n\n  // Determine the transferDurationMultiplier value from the dataset.\n  transferDurationMultiplier =\n      durationMultipliers.length > 0 ? Math.max(...durationMultipliers) : 1;\n  console.log(\n      `Deteremined transferDurationMultiplier from uploaded ` +\n      `dataset: ${transferDurationMultiplier}`);\n\n  createWordDivs(transferWords);\n  datasetViz.redrawAll();\n}\n\nevalModelOnDatasetButton.addEventListener('click', async () => {\n  const files = datasetFileInput.files;\n  if (files == null || files.length !== 1) {\n    throw new Error('Must select exactly one file.');\n  }\n  evalModelOnDatasetButton.disabled = true;\n  const datasetFileReader = new FileReader();\n  datasetFileReader.onload = async event => {\n    try {\n      if (transferRecognizer == null) {\n        throw new Error('There is no model!');\n      }\n\n      // Load the dataset and perform evaluation of the transfer\n      // model using the dataset.\n      transferRecognizer.loadExamples(event.target.result);\n      const evalResult = await transferRecognizer.evaluate({\n        windowHopRatio: 0.25,\n        wordProbThresholds: [\n          0,    0.05, 0.1,  0.15, 0.2,  0.25, 0.3,  0.35, 0.4,  0.5,\n          0.55, 0.6,  0.65, 0.7,  0.75, 0.8,  0.85, 0.9,  0.95, 1.0\n        ]\n      });\n      // Plot the ROC curve.\n      const rocDataForPlot = {x: [], y: []};\n      evalResult.rocCurve.forEach(item => {\n        rocDataForPlot.x.push(item.fpr);\n        rocDataForPlot.y.push(item.tpr);\n      });\n\n      Plotly.newPlot('roc-plot', [rocDataForPlot], {\n        width: 360,\n        height: 360,\n        mode: 'markers',\n        marker: {size: 7},\n        xaxis: {title: 'False positive rate (FPR)', range: [0, 1]},\n        yaxis: {title: 'True positive rate (TPR)', range: [0, 1]},\n        font: {size: 18}\n      });\n      evalResultsSpan.textContent = `AUC = ${evalResult.auc}`;\n    } catch (err) {\n      const originalTextContent = evalModelOnDatasetButton.textContent;\n      evalModelOnDatasetButton.textContent = err.message;\n      setTimeout(() => {\n        evalModelOnDatasetButton.textContent = originalTextContent;\n      }, 2000);\n    }\n    evalModelOnDatasetButton.disabled = false;\n  };\n  datasetFileReader.onerror = () =>\n      console.error(`Failed to binary data from file '${dataFile.name}'.`);\n  datasetFileReader.readAsArrayBuffer(files[0]);\n});\n\nasync function populateSavedTransferModelsSelect() {\n  const savedModelKeys = await SpeechCommands.listSavedTransferModels();\n  while (savedTransferModelsSelect.firstChild) {\n    savedTransferModelsSelect.removeChild(savedTransferModelsSelect.firstChild);\n  }\n  if (savedModelKeys.length > 0) {\n    for (const key of savedModelKeys) {\n      const option = document.createElement('option');\n      option.textContent = key;\n      option.id = key;\n      savedTransferModelsSelect.appendChild(option);\n    }\n    loadTransferModelButton.disabled = false;\n  }\n}\n\nsaveTransferModelButton.addEventListener('click', async () => {\n  await transferRecognizer.save();\n  await populateSavedTransferModelsSelect();\n  saveTransferModelButton.textContent = 'Model saved!';\n  saveTransferModelButton.disabled = true;\n});\n\nloadTransferModelButton.addEventListener('click', async () => {\n  const transferModelName = savedTransferModelsSelect.value;\n  await recognizer.ensureModelLoaded();\n  transferRecognizer = recognizer.createTransfer(transferModelName);\n  await transferRecognizer.load();\n  transferModelNameInput.value = transferModelName;\n  transferModelNameInput.disabled = true;\n  learnWordsInput.value = transferRecognizer.wordLabels().join(',');\n  learnWordsInput.disabled = true;\n  durationMultiplierSelect.disabled = true;\n  enterLearnWordsButton.disabled = true;\n  saveTransferModelButton.disabled = true;\n  loadTransferModelButton.disabled = true;\n  loadTransferModelButton.textContent = 'Model loaded!';\n});\n\nmodelIOButton.addEventListener('click', () => {\n  if (modelIOButton.textContent.endsWith(' >>')) {\n    transferModelSaveLoadInnerDiv.style.display = 'inline-block';\n    modelIOButton.textContent = modelIOButton.textContent.replace(' >>', ' <<');\n  } else {\n    transferModelSaveLoadInnerDiv.style.display = 'none';\n    modelIOButton.textContent = modelIOButton.textContent.replace(' <<', ' >>');\n  }\n});\n\ndeleteTransferModelButton.addEventListener('click', async () => {\n  const transferModelName = savedTransferModelsSelect.value;\n  await recognizer.ensureModelLoaded();\n  transferRecognizer = recognizer.createTransfer(transferModelName);\n  await SpeechCommands.deleteSavedTransferModel(transferModelName);\n  deleteTransferModelButton.disabled = true;\n  deleteTransferModelButton.textContent = `Deleted \"${transferModelName}\"`;\n  await populateSavedTransferModelsSelect();\n});\n\ndatasetIOButton.addEventListener('click', () => {\n  if (datasetIOButton.textContent.endsWith(' >>')) {\n    datasetIOInnerDiv.style.display = 'inline-block';\n    datasetIOButton.textContent =\n        datasetIOButton.textContent.replace(' >>', ' <<');\n  } else {\n    datasetIOInnerDiv.style.display = 'none';\n    datasetIOButton.textContent =\n        datasetIOButton.textContent.replace(' <<', ' >>');\n  }\n});\n"]}